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Note: This page contains sample records for the topic "time series analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

Integrated method for chaotic time series analysis  

DOE Patents (OSTI)

Methods and apparatus for automatically detecting differences between similar but different states in a nonlinear process monitor nonlinear data. Steps include: acquiring the data; digitizing the data; obtaining nonlinear measures of the data via chaotic time series analysis; obtaining time serial trends in the nonlinear measures; and determining by comparison whether differences between similar but different states are indicated.

Hively, Lee M. (Philadelphia, TN); Ng, Esmond G. (Concord, TN)

1998-01-01T23:59:59.000Z

2

Integrated method for chaotic time series analysis  

DOE Patents (OSTI)

Methods and apparatus for automatically detecting differences between similar but different states in a nonlinear process monitor nonlinear data are disclosed. Steps include: acquiring the data; digitizing the data; obtaining nonlinear measures of the data via chaotic time series analysis; obtaining time serial trends in the nonlinear measures; and determining by comparison whether differences between similar but different states are indicated. 8 figs.

Hively, L.M.; Ng, E.G.

1998-09-29T23:59:59.000Z

3

Time series analysis of a Web search engine transaction log  

Science Conference Proceedings (OSTI)

In this paper, we use time series analysis to evaluate predictive scenarios using search engine transactional logs. Our goal is to develop models for the analysis of searchers' behaviors over time and investigate if time series analysis is a valid method ... Keywords: ARIMA, Box-Jenkins model, Search engine, Time series analysis, Transactional log

Ying Zhang; Bernard J. Jansen; Amanda Spink

2009-03-01T23:59:59.000Z

4

Time Series Dependent Analysis of Unparametrized Thomas Networks  

Science Conference Proceedings (OSTI)

This paper is concerned with the analysis of labeled Thomas networks using discrete time series. It focuses on refining the given edge labels and on assessing the data quality. The results are aimed at being exploitable for experimental design and include ... Keywords: Time series analysis,Regulators,Computational modeling,Time measurement,Bioinformatics,Computational biology,Labeling,constraint satisfaction.,Time series analysis,model checking,temporal logic,biology and genetics

Hannes Klarner; Heike Siebert; Alexander Bockmayr

2012-09-01T23:59:59.000Z

5

Parametric spectral analysis of malaria gene expression time series data  

Science Conference Proceedings (OSTI)

Spectral analysis of DNA microarray gene expressions time series data is important for understanding the regulation of gene expression and gene function of the Plasmodium falciparum in the intraerythrocytic developmental cycle. In this paper, ... Keywords: autoregressive model, microarray time series analysis, plasmodium falciparum, singular spectrum analysis, spectral estimation

Liping Du; Shuanhu Wu; Alan Wee-Chung Liew; David Keith Smith; Hong Yan

2006-09-01T23:59:59.000Z

6

Time Series Analysis and Forecasting in Stock Market Investments  

E-Print Network (OSTI)

Time Series Analysis and Forecasting in Stock Market Investments Ted Chi-Wei Fung Department and forecasting have been used as methods to help precisely on the task of stock market prediction by using past data. This paper will discuss three different models to create a time series analysis and forecast

Zanibbi, Richard

7

Analysis of Long Time Series of Coastal Wind  

Science Conference Proceedings (OSTI)

A study of a 14-yr time series of wind speed recorded on the coast outside the city of Trondheim in middle Norway is presented. Analysis of the time series shows that in this area there is, in general, no gap in the wind speed power spectrum in ...

Tore Heggem; Rune Lende; Jørgen Løvseth

1998-09-01T23:59:59.000Z

8

Time series power flow analysis for distribution connected PV generation.  

SciTech Connect

Distributed photovoltaic (PV) projects must go through an interconnection study process before connecting to the distribution grid. These studies are intended to identify the likely impacts and mitigation alternatives. In the majority of the cases, system impacts can be ruled out or mitigation can be identified without an involved study, through a screening process or a simple supplemental review study. For some proposed projects, expensive and time-consuming interconnection studies are required. The challenges to performing the studies are twofold. First, every study scenario is potentially unique, as the studies are often highly specific to the amount of PV generation capacity that varies greatly from feeder to feeder and is often unevenly distributed along the same feeder. This can cause location-specific impacts and mitigations. The second challenge is the inherent variability in PV power output which can interact with feeder operation in complex ways, by affecting the operation of voltage regulation and protection devices. The typical simulation tools and methods in use today for distribution system planning are often not adequate to accurately assess these potential impacts. This report demonstrates how quasi-static time series (QSTS) simulation and high time-resolution data can be used to assess the potential impacts in a more comprehensive manner. The QSTS simulations are applied to a set of sample feeders with high PV deployment to illustrate the usefulness of the approach. The report describes methods that can help determine how PV affects distribution system operations. The simulation results are focused on enhancing the understanding of the underlying technical issues. The examples also highlight the steps needed to perform QSTS simulation and describe the data needed to drive the simulations. The goal of this report is to make the methodology of time series power flow analysis readily accessible to utilities and others responsible for evaluating potential PV impacts.

Broderick, Robert Joseph; Quiroz, Jimmy Edward; Ellis, Abraham; Reno, Matthew J. [Georgia Institute of Technology, Atlanta, GA; Smith, Jeff [Electric Power Research Institute, Knoxville, TN; Dugan, Roger [Electric Power Research Institute, Knoxville, TN

2013-01-01T23:59:59.000Z

9

Independent arrays or independent time courses for gene expression time series data analysis  

Science Conference Proceedings (OSTI)

In this paper we apply three different independent component analysis (ICA) methods, including spatial ICA (sICA), temporal ICA (tICA), and spatiotemporal ICA (stICA), to gene expression time series data and compare their performance in clustering genes ... Keywords: DNA microarray, Gene expression data, Independent component analysis, Principal component analysis

Sookjeong Kim; Jong Kyoung Kim; Seungjin Choi

2008-06-01T23:59:59.000Z

10

Complexity analysis of the turbulent environmental fluid flow time series  

E-Print Network (OSTI)

We have used the Kolmogorov complexities, sample and permutation entropies to quantify the randomness degree in river flow time series of two mountain rivers in Bosnia and Herzegovina, representing the turbulent environmental fluid, for the period 1926-1990. In particular, we have examined the monthly river flow time series from two rivers (Miljacka and Bosnia) in mountain part of their flow and then calculated the Kolmogorov Complexity (KL) based on the Lempel-Ziv Algorithm (LZA) (Lower - KLL and Upper - KLU), Sample Entropy (SE) and Permutation Entropy (PE) values for each time series. The results indicate that the KLL, KLU, SE and PE values in two rivers are close to each other regardless of the amplitude differences in their monthly flow rates. We have illustrated the changes in mountain river flow complexity by experiments using (i) the data set for the Bosnia River and (ii) anticipated human activities and projected climate changes. We have explored the sensitivity of considered measures in dependence on the length of time series. In addition, we have divided the period 1926-1990 into three sub-intervals: (a) 1926-1945, (b)1946-1965 and (c)1966-1990, and calculated the KLL, KLU, SE and PE values for the various time series in these sub-intervals. It is found that during the period 1946-1965, there is a decrease in their complexities, and corresponding changes in the SE and PE, in comparison to the period 1926-1990. This complexity loss may be primarily attributed to (i) human interventions, after Second World War, on these rivers because of their use for water consumption and (ii) climate change in recent time.

Dragutin T. Mihailovic; Emilija Nikolic-Djoric; Nusret Dreskovic; Gordan Mimic

2013-01-10T23:59:59.000Z

11

Complexity analysis of the UV radiation dose time series  

E-Print Network (OSTI)

We have used the Lempel-Ziv and sample entropy measures to assess the complexity in the UV radiation activity in the Vojvodina region (Serbia) for the period 1990-2007. In particular, we have examined the reconstructed daily sum (dose) of the UV-B time series from seven representative places in this region and calculated the Lempel-Ziv Complexity (LZC) and Sample Entropy (SE) values for each time series. The results indicate that the LZC values in some places are close to each other while in others they differ. We have devided the period 1990-2007 into two subintervals: (a) 1990-1998 and (b) 1999-2007 and calculated LZC and SE values for the various time series in these subintervals. It is found that during the period 1999-2007, there is a decrease in their complexities, and corresponding changes in the SE, in comparison to the period 1990-1998. This complexity loss may be attributed to increased (i) human intervention in the post civil war period (land and crop use and urbanization) and military activities i...

Mihailovic, Dragutin T

2013-01-01T23:59:59.000Z

12

Lean Blow-Out Prediction in Gas Turbine Combustors Using Symbolic Time Series Analysis  

E-Print Network (OSTI)

Lean Blow-Out Prediction in Gas Turbine Combustors Using Symbolic Time Series Analysis Achintya of lean blowout in gas turbine combustors based on symbolic analysis of time series data from optical. For the purpose of detecting lean blowout in gas turbine combustors, the state probability vector obtained

Ray, Asok

13

Discovery of temporal variation of arsenic in a historical blackfoot disease territory by time series analysis  

Science Conference Proceedings (OSTI)

Time series analysis is useful tool for extracting interesting pattern from ordered sequence of observations. The Chianan Blackfoot disease region was selected as study area, and the monitoring data of arsenic in groundwater during the period of 2003 ... Keywords: arsenic, data mining, groundwater management, time series analysis, water quality

Jan-Yee Lee; Ting-Nien Wu

2009-08-01T23:59:59.000Z

14

Discovery of Temporal Variation of Arsenic in a Historical Blackfoot Disease Territory by Time Series Analysis  

Science Conference Proceedings (OSTI)

Time series analysis is useful tool for extracting interesting pattern from ordered sequence of observations. The Chianan Blackfoot disease region was selected as study area, and the monitoring data of arsenic in groundwater during the period of 2003 ... Keywords: groundwater management, data mining, time series analysis, arsenic, water quality

Jan-Yee Lee; Ting-Nien Wu

2009-08-01T23:59:59.000Z

15

Engine Control Improvement through Application of Chaotic Time Series Analysis  

SciTech Connect

The objective of this program was to investigate cyclic variations in spark-ignition (SI) engines under lean fueling conditions and to develop options to reduce emissions of nitrogen oxides (NOx) and particulate matter (PM) in compression-ignition direct-injection (CIDI) engines at high exhaust gas recirculation (EGR) rates. The CIDI activity builds upon an earlier collaboration between ORNL and Ford examining combustion instabilities in SI engines. Under the original CRADA, the principal objective was to understand the fundamental causes of combustion instability in spark-ignition engines operating with lean fueling. The results of this earlier activity demonstrated that such combustion instabilities are dominated by the effects of residual gas remaining in each cylinder from one cycle to the next. A very simple, low-order model was developed that explained the observed combustion instability as a noisy nonlinear dynamical process. The model concept lead to development of a real-time control strategy that could be employed to significantly reduce cyclic variations in real engines using existing sensors and engine control systems. This collaboration led to the issuance of a joint patent for spark-ignition engine control. After a few years, the CRADA was modified to focus more on EGR and CIDI engines. The modified CRADA examined relationships between EGR, combustion, and emissions in CIDI engines. Information from CIDI engine experiments, data analysis, and modeling were employed to identify and characterize new combustion regimes where it is possible to simultaneously achieve significant reductions in NOx and PM emissions. These results were also used to develop an on-line combustion diagnostic (virtual sensor) to make cycle-resolved combustion quality assessments for active feedback control. Extensive experiments on engines at Ford and ORNL led to the development of the virtual sensor concept that may be able to detect simultaneous reductions in NOx and PM emissions under low temperature combustion (LTC) regimes. An invention disclosure was submitted to ORNL for the virtual sensor under the CRADA. Industrial in-kind support was available throughout the project period. Review of the research results were carried out on a regular basis (annual reports and meetings) followed by suggestions for improvement in ongoing work and direction for future work. A significant portion of the industrial support was in the form of experimentation, data analysis, data exchange, and technical consultation.

Green, J.B., Jr.; Daw, C.S.

2003-07-15T23:59:59.000Z

16

Time Series and Forecasting  

Science Conference Proceedings (OSTI)

Time Series and Forecasting. Leigh, Stefan and Perlman, S. (1991). "An Index for Comovement of Time Sequences With ...

17

Comparing statistical and neural network approaches for urban air pollution time series analysis  

Science Conference Proceedings (OSTI)

The paper presents an analysis of the performances obtained by using an artificial neural networks model and several statistical models for urban air quality forecasting. The time series of monthly averages concentrations (Sedimentable Dusts, Total Suspended ... Keywords: ARIMA, back-propagation, feed-forward neural network, statistical models, time series, urban air quality

Daniel Dunea; Mihaela Oprea; Emil Lungu

2008-02-01T23:59:59.000Z

18

Environmental time series analysis and forecasting with the Captain toolbox  

Science Conference Proceedings (OSTI)

The Data-Based Mechanistic (DBM) modelling philosophy emphasises the importance of parametrically efficient, low order, 'dominant mode' models, as well as the development of stochastic methods and the associated statistical analysis required for their ... Keywords: DAR, DARX, DBM, DHR, DLR, DTF, Data-based mechanistic, FIS, Fixed interval smoothing, Forecasting, GRW, Hyper-parameter optimisation, IRW, IV, Identification, Kalman filtering, MISO, ML, Maximum likelihood, NVR, RIV, RW, SDP, SRIV, SRW, Signal processing, TF, TVP, UC, Unobserved components model, YIC

C. James Taylor; Diego J. Pedregal; Peter C. Young; Wlodek Tych

2007-06-01T23:59:59.000Z

19

Time-Series Analysis of Reconstructed DAMA Data  

E-Print Network (OSTI)

An analysis of DAMA data (as reconstructed from DAMA publications) confirms the presence of an annual oscillation, but with a lower significance level than that claimed by DAMA. The phase of their signal is 0.39 +/- 0.02, corresponding to a peak value at about May 22, which is consistent with both the DAMA estimate and the expected phase of a dark-matter signal. However, a spectrogram analysis also shows evidence for oscillations in the frequency band 11 - 13 year-1, that are similar to oscillations found in spectrograms formed from measurements of the decay rates of 36Cl and 32Si acquired at the Brookhaven National Laboratory (BNL). One component of these oscillations (at 11.44 year-1) is prominent in DAMA/NaI data, at the 0.2% significance level (99.8% confidence level). Analyses of BNL and other nuclear decay (specifically beta decay and K-capture) measurements point to a solar influence, either by neutrinos or by some currently unknown form of radiation. The phase of the annual oscillation in DAMA data is compatible with an influence of dark matter, and is unlikely to be attributable to a purely solar influence. We also find that annual oscillations in both 133Ba decay measurements and the Troitsk tritium-decay measurements are compatible with a cosmic influence but not with a purely solar influence. These considerations raise the possibility that DAMA measurements may somehow be influenced by a combination of solar neutrinos, cosmic neutrinos, and dark matter

Peter A. Sturrock; Ephraim Fischbach; Jere H. Jenkins; Rafael Lang; Jonathan Nistor

2012-10-28T23:59:59.000Z

20

Use of a Principal Components Analysis for the Generation of Daily Time Series  

Science Conference Proceedings (OSTI)

A new approach for generating daily time series is considered in response to the weather-derivatives market. This approach consists of performing a principal components analysis to create independent variables, the values of which are then ...

Christine Dreveton; Yann Guillou

2004-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "time series analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

The physiology analysis system: An integrated approach for warehousing, management and analysis of time-series physiology data  

Science Conference Proceedings (OSTI)

The physiology analysis system (PAS) was developed as a resource to support the efficient warehousing, management, and analysis of physiology data, particularly, continuous time-series data that may be extensive, of variable quality, and distributed ... Keywords: Data base management system, Data display, Medical informatics, Physiology, Time-series data analysis

Thomas M. McKenna; Gagandeep Bawa; Kamal Kumar; Jaques Reifman

2007-04-01T23:59:59.000Z

22

Spectral analysis of microarray gene expression time series data of Plasmodium falciparum  

Science Conference Proceedings (OSTI)

We propose a new strategy to analyse the periodicity of gene expression profiles using Singular Spectrum Analysis (SSA) and Autoregressive (AR) model based spectral estimation. By combining the advantages of SSA and AR modelling, more ... Keywords: SSA, autoregressive spectral estimation model, bioinformatics, drug discovery, gene expression profiles, gene target, microarray time series analysis, plasmodium falciparum, singular spectrum analysis

Liping Du; Shuanhu Wu; Alan Wee-Chung Liew; David K. Smith; Hong Yan

2008-07-01T23:59:59.000Z

23

Characterization of nonlinear input-output systems using time series analysis  

Science Conference Proceedings (OSTI)

Data obtained from time series analysis has been used for a number of years for the characterization and response prediction of linear systems. This paper describes a time series technique for the analysis of nonlinear systems through the use of embeddings using delay coordinates or appropriate transformations of delay coordinates (local singular value decomposition or local canonical variate analysis). Local linear approaches are used to characterize the state evolution. Application of the technique is illustrated for a single degree of freedom oscillator with nonlinear stiffness, a mechanical chaos beam, and a climatic data time series. In each application analysis from measured data is emphasized. State rank, lyapunov exponents, and expected iterated prediction errors are quantified. The technique illustrated should be useful in the analysis of many forms of experimental data, especially where the state rank is not excessively large. 8 refs., 6 figs.

Hunter, N.F.; Theiler, J.

1991-01-01T23:59:59.000Z

24

Multifractal analysis of stress time series during ultrathin lubricant film melting  

E-Print Network (OSTI)

Melting of an ultrathin lubricant film confined between two atomically flat surfaces is we studied using the rheological model for viscoelastic matter approximation. Phase diagram with domains, corresponding to sliding, dry, and two types of $stick-slip$ friction regimes has been built taking into account additive noises of stress, strain, and temperature of the lubricant. The stress time series have been obtained for all regimes of friction using the Stratonovich interpretation. It has been shown that self-similar regime of lubricant melting is observed when intensity of temperature noise is much larger than intensities of strain and stress noises. This regime is defined by homogenous distribution, at which characteristic stress scale is absent. We study stress time series obtained for all friction regimes using multifractal detrended fluctuation analysis. It has been shown that multifractality of these series is caused by different correlations that are present in the system and also by a power-law distribu...

Khomenko, A V; Borisyuk, V N; 10.1142/S0219477510000046

2010-01-01T23:59:59.000Z

25

The Application of Time Series Models to Cloud Field Morphology Analysis  

Science Conference Proceedings (OSTI)

A modeling method for the quantitative description of remotely sensed cloud field images is presented. A two-dimensional texture modeling scheme based on one-dimensional time series procedures is adopted for this purpose. The time series ...

Roland T. Chin; Jack Y. C. Jau; James A. Weinman

1987-03-01T23:59:59.000Z

26

Time series analysis of AERI radiances for GCM testing and improvement  

NLE Websites -- All DOE Office Websites (Extended Search)

Time series analysis of AERI radiances for GCM testing and improvement Time series analysis of AERI radiances for GCM testing and improvement Dykema, John Harvard University Leroy, Stephen Harvard University Anderson, James Harvard University Tobin, David University of Wisconsin-Madison Knuteson, Robert University Of Wisconsin Revercomb, Henry University of Wisconsin-Madison Category: Radiation High resolution infrared radiances measured by the Atmospheric Emitted Radiance Interferometer (AERI) contained detailed information about the structure and dynamics of temperature, water vapor, and clouds below 3 km. Infrared radiances also contain the signature of radiative forcing by well-mixed gases that constitutes the greenhouse effect. Direct comparison of these radiance observations to similar radiances calculated from output

27

Interpretation of engine cycle-to-cycle variation by chaotic time series analysis  

DOE Green Energy (OSTI)

In this paper we summarize preliminary results from applying a new mathematical technique -- chaotic time series analysis (CTSA) -- to cylinder pressure data from a spark-ignition (SI) four-stroke engine fueled with both methanol and iso-octane. Our objective is to look for the presence of deterministic chaos'' dynamics in peak pressure variations and to investigate the potential usefulness of CTSA as a diagnostic tool. Our results suggest that sequential peak cylinder pressures exhibit some characteristic features of deterministic chaos and that CTSA can extract previously unrecognized information from such data. 18 refs., 11 figs., 2 tabs.

Daw, C.S.; Kahl, W.K.

1990-01-01T23:59:59.000Z

28

Multifractal analysis of stress time series during ultrathin lubricant film melting  

E-Print Network (OSTI)

Melting of an ultrathin lubricant film confined between two atomically flat surfaces is we studied using the rheological model for viscoelastic matter approximation. Phase diagram with domains, corresponding to sliding, dry, and two types of $stick-slip$ friction regimes has been built taking into account additive noises of stress, strain, and temperature of the lubricant. The stress time series have been obtained for all regimes of friction using the Stratonovich interpretation. It has been shown that self-similar regime of lubricant melting is observed when intensity of temperature noise is much larger than intensities of strain and stress noises. This regime is defined by homogenous distribution, at which characteristic stress scale is absent. We study stress time series obtained for all friction regimes using multifractal detrended fluctuation analysis. It has been shown that multifractality of these series is caused by different correlations that are present in the system and also by a power-law distribution. Since the power-law distribution is related to small stresses, this case corresponds to self-similar solid-like lubricant.

A. V. Khomenko; I. A. Lyashenko; V. N. Borisyuk

2010-07-20T23:59:59.000Z

29

Use of Long Time-series ACRF Measurements to Improve Data Quality Analysis  

NLE Websites -- All DOE Office Websites (Extended Search)

2, 2008 2, 2008 Eighteenth ARM Science Team Meeting 1 Use of Long Time-Series ACRF Measurements to Improve Data Quality Analysis Sean Moore Mission Research and Technical Services Santa Barbara, CA ARM Data Quality Office University of Oklahoma Norman, OK March 12, 2008 Eighteenth ARM Science Team Meeting 2 ARM Data Quality Office Full Time Staff *Ken Kehoe *Randy Peppler *Karen Sonntag *Justin Monroe Student Analysts *Nathan Hiers (Sr) *Stephen Mullens (Sr) *Kimberly Rabon (Jr) *Lacey Evans (Jr) ARM Data Quality Office, National Weather Center The University of Oklahoma, Norman, OK Sean Moore Mission Research and Technical Services Santa Barbara, CA March 12, 2008 Eighteenth ARM Science Team Meeting 3 Daily Quality Checks * Automated software checks every measurement for outliers against some pre-defined limits.

30

A New Statistical–Dynamical Downscaling Procedure Based on EOF Analysis for Regional Time Series Generation  

Science Conference Proceedings (OSTI)

A new statistical–dynamical downscaling procedure is developed and then applied to high-resolution (regional) time series generation and wind resource assessment. The statistical module of the new procedure uses empirical orthogonal function (EOF) ...

Yosvany Martinez; Wei Yu; Hai Lin

2013-04-01T23:59:59.000Z

31

Simulation of wind-speed time series for wind-energy conversion analysis.  

DOE Green Energy (OSTI)

In order to investigate operating characteristics of a wind energy conversion system it is often desirable to have a sequential record of wind speeds. Sometimes a long enough actual data record is not available at the time an analysis is needed. This may be the case if, e.g., data are recorded three times a day at a candidate wind turbine site, and then the hourly performance of generated power is desired. In such cases it is often possible to use statistical characteristics of the wind speed data to calibrate a stochastic model and then generate a simulated wind speed time series. Any length of record may be simulated by this method, and desired system characteristics may be studied. A simple wind speed simulation model, WEISIM, is developed based on the Weibull probability distribution for wind speeds with a correction based on the lag-one autocorrelation value. The model can simulate at rates from one a second to one an hour, and wind speeds can represent short-term averages (e.g., 1-sec averages) or longer-term averages (e.g., 1-min or 1 hr averages). The validity of the model is verified with PNL data for both histogram characteristics and persistance characteristics.

Corotis, R.B.

1982-06-01T23:59:59.000Z

32

Automatic Mapping of Social Networks of Actors from Text Corpora: Time Series Analysis  

Science Conference Proceedings (OSTI)

To illustrate the WORDij approach to automatic social network identification from large volumes of text, this research mined the social networks among President Clinton’s cabinet members (n=24)and also President G.W. Bush’s cabinet members ... Keywords: Time Series Data Mining

James A. Danowski; Noah T. Cepela

2009-07-01T23:59:59.000Z

33

Analysis of SWADE Discus N Wind Speed and Wave Height Time Series. Part II: Quantitative Growth Rates during a Storm  

Science Conference Proceedings (OSTI)

In Part I, wind speed and wave height time series obtained from the Discus N buoy during two storm events recorded in the SWADE experiment were analyzed using discrete wavelet packet transforms. One result of the analysis is that distinct tightly ...

Jorge F. Willemsen

1997-06-01T23:59:59.000Z

34

Testing and forecasting the time series of the solar activity by singular spectrum analysis  

E-Print Network (OSTI)

To study and forecast the solar activity data a quite perspective method of singular spectrum analysis (SSA) is proposed. As known, data of the solar activity are usually presented via the Wolf numbers associated with the effective amount of the sunspots. The advantages and disadvantages of SSA are described by its application to the series of the Wolf numbers. It is shown that the SSA method provides a sufficiently high reliability in the description of the 11-year solar cycle. Moreover, this method is appropriate for revealing more long cycles and forecasting the further solar activity during one and a half of 11-year cycle.

A. Loskutov; I. A. Istomin; K. M. Kuzanyan; O. L. Kotlyarov

2000-10-13T23:59:59.000Z

35

Bayesian analysis of time series of single RNA under fluctuating force  

E-Print Network (OSTI)

Extracting the intrinsic kinetic information of biological molecule from its single-molecule kinetic data is of considerable biophysical interest. In this work, we theoretically investigate the feasibility of inferring single RNA's intrinsic kinetic parameters from the time series obtained by forced folding/unfolding experiment done in the light tweezer, where the molecule is flanked by long double-stranded DNA/RNA handles and tethered between two big beads. We first construct a coarse-grain physical model of the experimental system. The model has captured the major physical factors: the Brownian motion of the bead, the molecular structural transition, and the elasticity of the handles and RNA. Then based on an analytic solution of the model, a Bayesian method using Monte Carlo Markov Chain is proposed to infer the intrinsic kinetic parameters of the RNA from the noisy time series of the distance or force. Because the force fluctuation induced by the Brownian motion of the bead and the structural transition can significantly modulate the transition rates of the RNA, we prove that, this statistic method is more accurate and efficient than the conventional histogram fitting method in inferring the molecule's intrinsic parameters.

Fei Liu; Zhong-can Ou-Yang

2007-10-04T23:59:59.000Z

36

A Time Series Analysis of Food Price and Its Input Prices  

E-Print Network (OSTI)

Rapid increases in consumer food price beginning in 2007 generated interest in identifying the main factors influencing these increases. In subsequent years, food prices have fluctuated, but generally have continued their ascent. The effects of crude oil, gasoline, corn, and ethanol prices, as well as, the relative foreign exchange rate of the U.S. dollar and producer price indexes for food manufacturing and fuel products on domestic food prices are examined. Because the data series are non-stationary and cointegrated, a vector error correction model is estimated. Weak exogeneity and exclusion tests in the cointegration space are performed. Directed acyclical graphs are used to specify contemporaneous causal relationships. Dynamic interactions among the series are given by impulse response functions and forecast error variance decompositions. Weak exogeneity tests indicate all eight series work to bring the system back into equilibrium following a shock to the system. Further, exclusion tests suggest crude oil, gasoline, food CPI, ethanol, and food PPI variables are not in the long-run relationships. Dynamic analyses suggest the following relationships. Ethanol price is not a major factor in domestic food prices, suggesting that food prices are largely unaffected by the recent increased use of corn-based ethanol for fuel. Crude oil prices, corn prices, and the relative foreign exchange rate of the U.S. dollar, however, do influence domestic food prices with corn price contributing the most to food price variability. Innovation accounting inferences are robust to potential different contemporaneous causal specifications.

Routh, Kari 1988-

2012-12-01T23:59:59.000Z

37

Vector nonlinear time-series analysis of gamma-ray burst datasets on heterogeneous clusters  

Science Conference Proceedings (OSTI)

The simultaneous analysis of a number of related datasets using a single statistical model is an important problem in statistical computing. A parameterized statistical model is to be fitted on multiple datasets and tested for goodness of fit within ... Keywords: Data Analysis, Dynamic Load Balancing, Heterogeneous Computing

Ioana Banicescu; Ricolindo L. Cariòo; Jane L. Harvill; John Patrick Lestrade

2005-04-01T23:59:59.000Z

38

Analysis Methods for Characterizing Salinity Variability from Multivariate Time Series Applied to the Apalachicola Bay Estuary  

Science Conference Proceedings (OSTI)

Statistical analysis methods are developed to quantify the impacts of multiple forcing variables on the hydrographic variability within an estuary instrumented with an enduring observational system. The methods are applied to characterize the ...

Steven L. Morey; Dmitry S. Dukhovskoy

2012-04-01T23:59:59.000Z

39

Statistical analysis of electrophoresis time series for improving basecalling in DNA sequencing  

Science Conference Proceedings (OSTI)

In automated DNA sequencing, the final algorithmic phase, referred to as basecalling, consists of the translation of four time signals in the form of peak sequences (electropherogram) to the corresponding sequence of bases. Commercial basecallers detect ...

Anna Tonazzini; Luigi Bedini

2007-07-01T23:59:59.000Z

40

Time series analysis of the lead-lag relationship of freight futures and spot market prices  

E-Print Network (OSTI)

This thesis analyzes the relationship between the physical and paper shipping markets. The main objective is to find if one market leads the other by a specific time period so that market players can take advantage from ...

Gavriilidis, Nikolaos

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "time series analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

A review on time series data mining  

Science Conference Proceedings (OSTI)

Time series is an important class of temporal data objects and it can be easily obtained from scientific and financial applications. A time series is a collection of observations made chronologically. The nature of time series data includes: large in ... Keywords: Representation, Segmentation, Similarity measure, Time series data mining, Visualization

Tak-chung Fu

2011-02-01T23:59:59.000Z

42

EMCS and time-series energy data analysis in a large government office building  

SciTech Connect

Energy Management Control System (EMCS) data are an underutilized source of information on the performance of commercial buildings. Newer EMCS's have the ability and storage capacity to trend large amounts of data and perform preliminary analyses; however, these features often receive little or no use, as operators are generally not trained in data management, visualization, and analysis. Whole-building hourly electric-utility data are another readily available and underutilized source of information. This paper outlines the use of EMCS and utility data to evaluate the performance of the Ronald V. Dellums Federal Building in Oakland, California, a large office building operated by the Federal General Services Administration (GSA). The project began as an exploratory effort at Lawrence Berkeley National Laboratory (LBNL) to examine the procedures operators were using to obtain information and operate their buildings. Trending capabilities were available, but in limited use by the operators. LBNL worked with the building operators to use EMCS to trend one-minute data for over one-hundred points. Hourly electricity-use data were also used to understand usage patterns and peak demand. The paper describes LBNL's key findings in the following areas: Characterization of cooling plant operations; Characterization of economizer performance; Analysis of annual energy use and peak demand operations; Techniques, strengths, and shortcomings of EMCS data analysis; Future plans at the building for web-based remote monitoring and diagnostics. These findings have helped GSA develop strategies for peak demand reduction in this and other GSA buildings. Such activities are of great interest in California and elsewhere, where electricity reliability and demand are currently problematic. Overall, though the building's energy use is fairly low, significant energy savings are available by improving the existing EMCS control strategies.

Piette, Mary Ann; Kinney, Satkartar; Friedman, Hannah

2001-04-01T23:59:59.000Z

43

A supply forecasting model for Zimbabwe's corn sector: a time series and structural analysis  

E-Print Network (OSTI)

The Zimbabwean government utilizes the corn supply forecasts to establish producer prices for the following growing season, estimate corn storage and handling costs, project corn import needs and associated costs, and to assess the Grain Marketing Board's financial resource needs. Thus, the corn supply forecasts are important information used by the government for contingency planning, decision-making, policy-formulation and implementation. As such, the need for accurate forecasts is obvious. The objectives of the study are: (a) determine how changes in the government-established producer price affects the quantity of corn supplied to the Grain Marketing Board by the large-scale corn-producing sector and (b) whether including rainfall or rainfall probabilities into econometric models would result in an improvement of corn supply forecasts compared to current forecasts by the government. In order to accomplish the first objective a supply elasticity model was specified and estimated using ordinary least squares. This model is intended to provide 'de insight to the government regarding the influence of the government-established corn price and other related variables on corn supplied to the Grain Marketing Board by the large-scale producers. Thus, the estimated model would be useful to the government when establishing corn prices in March/April for production in the following growing season (October - February). To achieve the second objective, preliminary analysis was carried out to verify whether there is statistical evidence to support the hypothesis that rainfall cause" corn production and supply, and also corn prices and sales. Specifically the preliminary analysis involved using the Granger causality tests, stationarity tests and innovation accounting (impulse responses and forecast error decomposition). Having verified and quantified the causal effects of rainfall on corn production and supply, the next task was to investigate whether including rainfall and/or drought probabilities into forecasting econometric models would help provide improved out-of-sample forecasts compared to the government's forecasts. The forecasting accuracy of the models (short-run) was evaluated using standard statistical measures such as, the mean square error (MSE), mean absolute percentage error (MAPEI), improved mean absolute percentage error (IMAPE) and Theil's U-statistic, and thereupon select the best model. The results indicated that by incorporating rainfall and/or rainfall probabilities into econometric forecasting models, there was substantial improvement in corn supply forecasts. It follows that the the government would likely find it beneficial to incorporate the rainfall variable into their forecasting effort.

Makaudze, Ephias

1993-01-01T23:59:59.000Z

44

Climatological Time Series with Periodic Correlation  

Science Conference Proceedings (OSTI)

Many climatological time series display a periodic correlation structure. This paper examines three issues encountered when analyzing such time series: detection of periodic correlation, modeling periodic correlation, and trend estimation under ...

Robert Lund; Harry Hurd; Peter Bloomfield; Richard Smith

1995-11-01T23:59:59.000Z

45

Analysis of SWADE Discus N Wind Speed and Wave Height Time Series. Part I: Discrete Wavelet Packet Representations  

Science Conference Proceedings (OSTI)

Discus N denotes a single buoy employed during the SWADE experiment, equipped to record wave amplitude and wind speed time series at a rate of 1 Hz. Over the course of approximately 4.5 days, two clear-cut examples of sea response to wind ...

Jorge E. Willemsen

1995-12-01T23:59:59.000Z

46

Time dependent Directional Profit Model for Financial Time Series Forecasting  

E-Print Network (OSTI)

Time dependent Directional Profit Model for Financial Time Series Forecasting Jingtao YAO Chew Lim@comp.nus.edu.sg Abstract Goodness­of­fit is the most popular criterion for neural network time series forecasting. In the context of financial time series forecasting, we are not only concerned at how good the forecasts fit

Yao, JingTao

47

Time Series Prediction Forecasting the Future and ...  

Science Conference Proceedings (OSTI)

Time Series Prediction Forecasting the Future and Understanding the Past Santa Fe Institute Proceedings on the Studies in the Sciences of ...

2012-10-01T23:59:59.000Z

48

Statistical criteria for characterizing irradiance time series.  

SciTech Connect

We propose and examine several statistical criteria for characterizing time series of solar irradiance. Time series of irradiance are used in analyses that seek to quantify the performance of photovoltaic (PV) power systems over time. Time series of irradiance are either measured or are simulated using models. Simulations of irradiance are often calibrated to or generated from statistics for observed irradiance and simulations are validated by comparing the simulation output to the observed irradiance. Criteria used in this comparison should derive from the context of the analyses in which the simulated irradiance is to be used. We examine three statistics that characterize time series and their use as criteria for comparing time series. We demonstrate these statistics using observed irradiance data recorded in August 2007 in Las Vegas, Nevada, and in June 2009 in Albuquerque, New Mexico.

Stein, Joshua S.; Ellis, Abraham; Hansen, Clifford W.

2010-10-01T23:59:59.000Z

49

Predicting time series with advanced hybrid systems  

Science Conference Proceedings (OSTI)

Autogressive moving average (ARMA) has been widely used to model processes that generate linear time-series. Recent research activities in forecasting with artificial neutral networks (ANNs) suggest that ANNs can be a promising alternative to the traditional ... Keywords: ARMA models, fuzzy system, hybrid system, neutral networks, time series

O. Valenzuela; I. Rojas; F. Rojas; H. Pomares; J. Gonzalez; L. J. Herrera; A. Guillen

2005-12-01T23:59:59.000Z

50

Efficient forecasting for hierarchical time series  

Science Conference Proceedings (OSTI)

Forecasting is used as the basis for business planning in many application areas such as energy, sales and traffic management. Time series data used in these areas is often hierarchically organized and thus, aggregated along the hierarchy levels based ... Keywords: forecasting, hierarchies, optimization, time series

Lars Dannecker; Robert Lorenz; Philipp Rösch; Wolfgang Lehner; Gregor Hackenbroich

2013-10-01T23:59:59.000Z

51

Time series forecasting with Qubit Neural Networks  

Science Conference Proceedings (OSTI)

This paper proposes a quantum learning scheme approach for time series forecasting, through the application of the new non-standard Qubit Neural Network (QNN) model. The QNN description was adapted in this work in order to resemble classical Artificial ... Keywords: artificial intelligence, artificial neural networks, quantum computing, qubit neural networks, time series forecasting

Carlos R. B. Azevedo; Tiago A. E. Ferreira

2007-08-01T23:59:59.000Z

52

Analysis based on the Wavelet & Hilbert Transforms applied to the full time series of interbeats for a triad of failures at the heart  

E-Print Network (OSTI)

A tetra of sets which elements are time series including interbeats has been obtained from the databank Physionet-MIT-BIH, corresponding to the following failures at the heart of humans: Obstructive Sleep Apnea, Congestive Heart Failure, and Atrial Fibrillation, and has been analyzed statistically using an already known technique based on the Wavelet and Hilbert Transforms. That technique has been applied to the time series of interbeats for 87 patients in order to find the intrinsical dynamics of their hearts. The length of the times series varies approachly from 7 to 24 h. The kind of wavelet selected for the study has been any one belonging to the families: Daubechies, Biortoghonal, and Gaussian. The analysis has been done for the complet set of scales ranging from: 1-128 heartbeats. Choosing the Biorthogonal wavelet: bior3.1, it is observed: (a) That a time serie has not to be cutted in shorter periods with the purpose of obtaining the collapse of the data, (b) An analytical, universal behavior of the dat...

Ritto, P A

2007-01-01T23:59:59.000Z

53

Tritium Time Series from Ocean Station P  

Science Conference Proceedings (OSTI)

We present time series of tritium (3H) concentrations at varying depths in the water column at Ocean Station P(50°N, 145°W) in the northeast Pacific. Measurements started in the fall of 1974, at the time of the GEOSECS mapping of the North ...

A. E. Gargett; G. Ostlund; C. S. Wong

1986-10-01T23:59:59.000Z

54

Optimal aggregation of linear time series models  

Science Conference Proceedings (OSTI)

Aggregation is a central and mainly unsolved problem in econometrics. When considering linear time series models, a widely used method is to replace the disaggregate model by an aggregative one in which the variables are grouped and replaced by sums ... Keywords: Aggregation, Industrial classification, Threshold accepting

J. Chipman; P. Winker

2005-04-01T23:59:59.000Z

55

Segmenting Time Series for Weather Forecasting  

E-Print Network (OSTI)

turbines. In the domain of meteorology, time series data produced by numerical weather prediction (NWP) models is summarised as weather forecast texts. In the domain of gas turbines, sensor data from an operational gas turbine is summarised for the maintenance engineers. More details on SUMTIME have been

Reiter, Ehud

56

Forecasting Electricity Demand by Time Series Models  

Science Conference Proceedings (OSTI)

Electricity demand is one of the most important variables required for estimating the amount of additional capacity required to ensure a sufficient supply of energy. Demand and technological losses forecasts can be used to control the generation and distribution of electricity more efficiently. The aim of this paper is to utilize time series model

E. Stoimenova; K. Prodanova; R. Prodanova

2007-01-01T23:59:59.000Z

57

Can biomass time series be reliably assessed from CPUE time series data Francis Lalo1  

E-Print Network (OSTI)

1 Can biomass time series be reliably assessed from CPUE time series data only? Francis Laloë1 to abundance. This means (i) that catchability is constant and (ii) that all the biomass is catchable. If so, relative variations in CPUE indicate the same relative variations in biomass. Myers and Worm consider

Hawai'i at Manoa, University of

58

Combining motif information and neural network for time series prediction  

Science Conference Proceedings (OSTI)

Recent research works pay more attention to time series prediction, in which some time series data mining approaches have been exploited. In this paper, we propose a new method for time series prediction which is based on the concept of time series motifs. ...

Cao Duy Truong; Huynh Nguyen Tin; Duong Tuan Anh

2012-01-01T23:59:59.000Z

59

Analyses of Inhomogeneities in Radiosonde Temperature and Humidity Time Series  

Science Conference Proceedings (OSTI)

Twice daily radiosonde data from selected stations in the United States (period 1948 to 1990) and China (period 1958 to 1990) were sorted into time series. These stations have one sounding taken in darkness and the other in sunlight. The analysis ...

Panmao Zhai; Robert E. Eskridge

1996-04-01T23:59:59.000Z

60

Multi-Scale Kernel Latent Variable Models for Nonlinear Time Series Pattern Matching  

Science Conference Proceedings (OSTI)

In this paper we propose a method for nonlinear time series pattern matching: "Multi-Scale Kernel Latent Variable (MSKLV) models". The pattern matching methodology includes multi-scale analysis using wavelet decomposition of time series and finding latent ...

B. Venkataramana Kini; C. Chandra Sekhar

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "time series analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Structural Time Series Models and Trend Detection in Global and Regional Temperature Series  

Science Conference Proceedings (OSTI)

A unified statistical approach to identify suitable structural time series models for annual mean temperature is proposed. This includes a generalized model that can represent all the commonly used structural time series models for trend ...

Xiaogu Zheng; Reid E. Basher

1999-08-01T23:59:59.000Z

62

Univariate modeling and forecasting of monthly energy demand time series using abductive and neural networks  

Science Conference Proceedings (OSTI)

Neural networks have been widely used for short-term, and to a lesser degree medium and long-term, demand forecasting. In the majority of cases for the latter two applications, multivariate modeling was adopted, where the demand time series is related ... Keywords: Abductive networks, Energy demand, Medium-term load forecasting, Neural networks, Time series forecasting, Univariate time series analysis

R. E. Abdel-Aal

2008-05-01T23:59:59.000Z

63

IMPROVEMENTS TO THE RADIANT TIME SERIES METHOD COOLING LOAD CALCULATION  

E-Print Network (OSTI)

IMPROVEMENTS TO THE RADIANT TIME SERIES METHOD COOLING LOAD CALCULATION PROCEDURE By BEREKET TO THE RADIANT TIME SERIES METHOD COOLING LOAD CALCULATION PROCEDURE Dissertation Approved: Dr. Jeffrey D- Original RTSM.......................................................153 4.4.1 RTSM Peak Design Cooling Load

64

Changepoint Detection in Periodic and Autocorrelated Time Series  

Science Conference Proceedings (OSTI)

Undocumented changepoints (inhomogeneities) are ubiquitous features of climatic time series. Level shifts in time series caused by changepoints confound many inference problems and are very important data features. Tests for undocumented ...

Robert Lund; Xiaolan L. Wang; Qi Qi Lu; Jaxk Reeves; Colin Gallagher; Yang Feng

2007-10-01T23:59:59.000Z

65

A New Method for Time Series Filtering near Endpoints  

Science Conference Proceedings (OSTI)

Time series filtering (e.g., smoothing) can be done in the spectral domain without loss of endpoints. However, filtering is commonly performed in the time domain using convolutions, resulting in lost points near the series endpoints. Multiple ...

Anthony Arguez; Peng Yu; James J. O’Brien

2008-04-01T23:59:59.000Z

66

Detecting and Classifying Events in Noisy Time Series  

Science Conference Proceedings (OSTI)

Time series are characterized by a myriad of different shapes and structures. A number of events that appear in atmospheric time series result from as yet unidentified physical mechanisms. This is particularly the case for stable boundary layers, ...

Yanfei Kang; Danijel Beluši?; Kate Smith-Miles

67

Bispectral-based methods for clustering time series  

Science Conference Proceedings (OSTI)

Distinguishing among linear and nonlinear time series or between nonlinear time series generated by different underlying processes is challenging, as second-order properties are generally insufficient for the task. Different nonlinear processes have ... Keywords: Bispectral density function, Hierarchical clustering, Nonlinear time series

Jane L. Harvill, Nalini Ravishanker, Bonnie K. Ray

2013-08-01T23:59:59.000Z

68

Feature-based clustering for electricity use time series data  

Science Conference Proceedings (OSTI)

Time series clustering has been shown effective in providing useful information in various applications. This paper presents an efficient computational method for time series clustering and its application focusing creation of more accurate electricity ... Keywords: electricity distribution, electricity use data, feature extraction, feature-based clustering, load curves, time series clustering

Teemu Räsänen; Mikko Kolehmainen

2009-04-01T23:59:59.000Z

69

A Potential-Field Approach to Financial Time Series Modelling  

Science Conference Proceedings (OSTI)

We present a new approach to the problem of time series modelling that captures the invariant distribution of time series data within the model. This is particularly relevant in modelling economic and financial time series, such as oil prices, that ... Keywords: diffusion, multiple attraction regions, potential function, price

S. Borovkova; H. Dehling; J. Renkema; H. Tulleken

2003-10-01T23:59:59.000Z

70

An Approach to Adjusting Climatological Time Series for Discontinuous Inhomogeneities  

Science Conference Proceedings (OSTI)

A method is described whereby climatological time series of temperature and precipitation can be adjusted for station inhomogeneities using station history information. The adjusted data retains its original scale and is not an anomaly series. ...

Thomas R. Karl; Claude N. Williams Jr.

1987-12-01T23:59:59.000Z

71

Spectral estimation for locally stationary time series with missing observations  

Science Conference Proceedings (OSTI)

Time series arising in practice often have an inherently irregular sampling structure or missing values, that can arise for example due to a faulty measuring device or complex time-dependent nature. Spectral decomposition of time series is a traditionally ... Keywords: Missing data, Nondecimated transform, Spectral estimation, Wavelet lifting

Marina I. Knight; Matthew A. Nunes; Guy P. Nason

2012-07-01T23:59:59.000Z

72

Forecasting Natural Gas Prices Using Time Series Models .  

E-Print Network (OSTI)

??The objective of this thesis is to estimate the natural gas component of the All Urban Consumer Price Index (CP-U) using time series forecasting models.… (more)

Berg, Andrew

2006-01-01T23:59:59.000Z

73

Characterizability of metabolic pathway systems from time series...  

NLE Websites -- All DOE Office Websites (Extended Search)

Characterizability of metabolic pathway systems from time series data Eberhard O. Voit The Wallace H. Coulter, Department of Biomedical Engineering at Georgia Tech. and Emory...

74

Time Series Graphs of Global and Hemispheric Temperature Anomalies...  

NLE Websites -- All DOE Office Websites (Extended Search)

Time Series Graphs of Global and Hemispheric Temperature Anomalies graphics Graph - Global and Hemispheric Annual Temperature Anomalies, 1850-2012 graphics Graph - Northern...

75

Data Tools & Models - Time Series - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Time-series data for net generation, fossil fuel consumption for electricity generation, existing nameplate and net summer capacity, proposed nameplate capacity, ...

76

Chaotic time series forecasting using locally quadratic fuzzy neural models  

Science Conference Proceedings (OSTI)

Time series forecasting in highly nonlinear and chaotic systems is a challenging research area with a variety of applications in economics, environmental sciences and various fields of engineering. This paper presents a novel Locally Quadratic Fuzzy ... Keywords: chaotic time series, forecasting, locally quadratic neural fuzzy model

Mohammad J. Mahjoob; Majid Abdollahzade; Reza Zarringhalam; Ahmad Kalhor

2008-05-01T23:59:59.000Z

77

Large margin mixture of AR models for time series classification  

Science Conference Proceedings (OSTI)

In this paper, we propose the large margin autoregressive (LMAR) model for classification of time series patterns. The parameters of the generative AR models for different classes are estimated using the margin of the boundaries of AR models as the optimization ... Keywords: Generative and discriminative hybrid models, Large margin autoregressive model, Large margin mixture autoregressive model, Outlier detection, Rejection option, Time series classification

B. Venkataramana Kini; C. Chandra Sekhar

2013-01-01T23:59:59.000Z

78

A Study on Training Criteria for Financial Time Series Forecasting  

E-Print Network (OSTI)

A Study on Training Criteria for Financial Time Series Forecasting JingTao YAO Dept of Information on goodness-of-fit which is also the most popular criterion forecasting. How ever, in the context of financial time series forecasting, we are not only concerned at how good the forecasts fit their target. In order

Yao, JingTao

79

Short term wind power forecasting using time series neural networks  

Science Conference Proceedings (OSTI)

Forecasting wind power energy is very important issue in a liberalized market and the prediction tools can make wind energy be competitive in these kinds of markets. This paper will study an application of time-series and neural network for predicting ... Keywords: neural networks, time series, wind power forecasting

Mohammadsaleh Zakerinia; Seyed Farid Ghaderi

2011-04-01T23:59:59.000Z

80

A new class of hybrid models for time series forecasting  

Science Conference Proceedings (OSTI)

Applying quantitative models for forecasting and assisting investment decision making has become more indispensable in business practices than ever before. Improving forecasting especially time series forecasting accuracy is an important yet often difficult ... Keywords: Artificial neural networks (ANNs), Auto-Regressive Integrated Moving Average (ARIMA), Hybrid models, Probabilistic neural networks (PNNs), Time series forecasting

Mehdi Khashei; Mehdi Bijari

2012-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "time series analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Time Series Momentum Trading Strategy and Autocorrelation Amplification  

E-Print Network (OSTI)

Time Series Momentum Trading Strategy and Autocorrelation Amplification K. J. Hong and S. Satchell June 2013 CWPE 1322 1  Time Series Momentum Trading Strategy and Autocorrelation Amplification... K. J. Honga,* and S. Satchellb Current Version: May 23, 2013 a University Technology of Sydney, Ultimo Rd, Haymarket NSW 2000, Australia b Trinity College, University of Cambridge, Address: Trinity College, Cambridge, CB2 1TQ, U...

Hong, K. J.; Satchell, S.

2013-06-18T23:59:59.000Z

82

A Sparse Regression Mixture Model for Clustering Time-Series  

Science Conference Proceedings (OSTI)

In this study we present a new sparse polynomial regression mixture model for fitting time series. The contribution of this work is the introduction of a smoothing prior over component regression coefficients through a Bayesian framework. This is done ... Keywords: Clustering time-series, Expectation-Maximization (EM) algorithm, Regression mixture model, sparse prior

K. Blekas; Nikolaos Galatsanos; A. Likas

2008-10-01T23:59:59.000Z

83

Comparing non-stationary and irregularly spaced time series  

Science Conference Proceedings (OSTI)

In this paper, we present approximate distributions for the ratio of the cumulative wavelet periodograms considering stationary and non-stationary time series generated from independent Gaussian processes. We also adapt an existing procedure to use this ... Keywords: Distributions of quadratic forms, Hypothesis testing, Irregularly spaced time series, Locally stationary wavelet processes, Multiresolution approximation

Gladys E. Salcedo; RogéRio F. Porto; Pedro A. Morettin

2012-12-01T23:59:59.000Z

84

Hypothesis testing for auto-correlated short climate time series  

Science Conference Proceedings (OSTI)

Commonly used statistical tests of hypothesis, also termed inferential tests, which are available to meteorologists and climatologists all require independent data in the time series to which they are applied. Unfortunately, most of the time ...

Virginie Guemas; Ludovic Auger; Francisco J. Doblas-Reyes

85

Identification of time series model of heat demand using mathematica environment  

Science Conference Proceedings (OSTI)

The paper presents possibility of model design of time series of heat demand course. The course of heat demand and heat consumption can be demonstrated by means of heat demand diagrams. The most important one is the Daily Diagram of Heat Supply (DDHS) ... Keywords: box-jenkins, control algorithms, district heating control, modelling, prediction, time series analysis

Bronislav Chramcov

2011-05-01T23:59:59.000Z

86

A prediction method for time series based on wavelet neural networks  

Science Conference Proceedings (OSTI)

This paper introduces a prediction method for time series that is based on the multi-resolution analysis of wavelets (MRA). The MRA is better able to decompose the non-stationary time series of nonlinear systems into different components, allowing a ...

Xiaobing Gan; Ying Liu; Francis R. Austin

2005-12-01T23:59:59.000Z

87

A new time-invariant fuzzy time series forecasting method based on genetic algorithm  

Science Conference Proceedings (OSTI)

In recent years, many fuzzy time series methods have been proposed in the literature. Some of these methods use the classical fuzzy set theory, which needs complex matricial operations in fuzzy time series methods. Because of this problem, many studies ...

Erol E?rio?lu

2012-01-01T23:59:59.000Z

88

Homogenization of Radiosonde Temperature Time Series Using Innovation Statistics  

Science Conference Proceedings (OSTI)

Radiosonde temperature records contain valuable information for climate change research from the 1940s onward. Since they are affected by numerous artificial shifts, time series homogenization efforts are required. This paper introduces a new ...

Leopold Haimberger

2007-04-01T23:59:59.000Z

89

Generating Scenarios of Local Surface Temperature Using Time Series Methods  

Science Conference Proceedings (OSTI)

A method for creating scenarios of time series of monthly mean surface temperature at a specific site is developed. It is postulated that surface temperature can be specified as a linear combination of regional and local temperature components, ...

Robert S. Chen; Peter J. Robinson

1991-07-01T23:59:59.000Z

90

Bayesian Mixture of AR Models for Time Series Clustering  

Science Conference Proceedings (OSTI)

In this paper we propose a Bayesian framework for estimation of parameters of a mixture of autoregressive model, for time series clustering. The proposed approach is based on variational principles and provides a tractable approximation to the true posterior ...

Venkataramana Kini B; C. Chandra Sekhar

2009-02-01T23:59:59.000Z

91

Nonparametric inference of quantile curves for nonstationary time series  

E-Print Network (OSTI)

The paper considers nonparametric specification tests of quantile curves for a general class of nonstationary processes. Using Bahadur representation and Gaussian approximation results for nonstationary time series, simultaneous confidence bands and integrated squared difference tests are proposed to test various parametric forms of the quantile curves with asymptotically correct type I error rates. A wild bootstrap procedure is implemented to alleviate the problem of slow convergence of the asymptotic results. In particular, our results can be used to test the trends of extremes of climate variables, an important problem in understanding climate change. Our methodology is applied to the analysis of the maximum speed of tropical cyclone winds. It was found that an inhomogeneous upward trend for cyclone wind speeds is pronounced at high quantile values. However, there is no trend in the mean lifetime-maximum wind speed. This example shows the effectiveness of the quantile regression technique.

Zhou, Zhou

2010-01-01T23:59:59.000Z

92

High performance data mining in time series: techniques and case studies  

Science Conference Proceedings (OSTI)

As extremely large time series data sets grow more prevalent in a wide variety of settings, we face the significant challenge of developing efficient analysis methods. This dissertation addresses the problem in designing fast, scalable algorithms for ...

Yunyue Zhu / Dennis Shasha

2004-01-01T23:59:59.000Z

93

A Nonparametric Approach to the Removal of Documented Inhomogeneities in Climate Time Series  

Science Conference Proceedings (OSTI)

Climate data often suffer from artificial inhomogeneities, resulting from documented or undocumented events. For a time series to be used with confidence in climate analysis, it should only be characterized by variations intrinsic to the climate ...

Chiara Ambrosino; Richard E. Chandler

2013-05-01T23:59:59.000Z

94

“Eyeballing” Trends in Climate Time Series: A Cautionary Note  

Science Conference Proceedings (OSTI)

In examining a plot of a time series of a scalar climate variable for indications of climate change, an investigator might pick out what appears to be a linear trend commencing near the end of the record. Visual determination of the starting time ...

Donald B. Percival; D. Andrew Rothrock

2005-03-01T23:59:59.000Z

95

Detection of trend changes in time series using Bayesian inference  

E-Print Network (OSTI)

Change points in time series are perceived as isolated singularities where two regular trends of a given signal do not match. The detection of such transitions is of fundamental interest for the understanding of the system's internal dynamics. In practice observational noise makes it difficult to detect such change points in time series. In this work we elaborate a Bayesian method to estimate the location of the singularities and to produce some confidence intervals. We validate the ability and sensitivity of our inference method by estimating change points of synthetic data sets. As an application we use our algorithm to analyze the annual flow volume of the Nile River at Aswan from 1871 to 1970, where we confirm a well-established significant transition point within the time series.

Schütz, Nadine

2011-01-01T23:59:59.000Z

96

Extracting biochemical reaction kinetics from time series data  

E-Print Network (OSTI)

Abstract. We consider the problem of inferring kinetic mechanisms for biochemical reactions from time series data. Using a priori knowledge about the structure of chemical reaction kinetics we develop global nonlinear models which use elementary reactions as a basis set, and discuss model construction using top-down and bottom-up approaches. 1

Edmund J. Crampin; Patrick E. Mcsharry; Santiago Schnell

2004-01-01T23:59:59.000Z

97

Estimating the Correlation Dimension of Atmospheric Time Series  

Science Conference Proceedings (OSTI)

The correlation dimension D is commonly used to quantify the chaotic structure of atmospheric time series. The standard algorithm for estimating the value of D is based on finding the slope of the curve obtained by plotting ln C(r) versus ln r, ...

Hampton N. Shirer; Christian J. Fosmire; Robert Wells; Laurentia Suciu

1997-01-01T23:59:59.000Z

98

Investigating asymptotic properties of vector nonlinear time series models  

Science Conference Proceedings (OSTI)

Analyses and simulations of vector nonlinear time series typically run into weeks or even months because the methods used are computationally intensive. Statisticians have been known to base empirical results on a relatively small number of simulation ... Keywords: Dynamic loop scheduling, Vector FCAR models

Ioana Banicescu; Ricolindo L. CariñO; Jane L. Harvill; John Patrick Lestrade

2011-09-01T23:59:59.000Z

99

Time series of count data: modeling, estimation and diagnostics  

Science Conference Proceedings (OSTI)

Various models for time series of counts which can account for discreteness, overdispersion and serial correlation are compared. Besides observation- and parameter-driven models based upon corresponding conditional Poisson distributions, a dynamic ordered ... Keywords: Efficient importance sampling, Markov chain Monte Carlo, Observation-driven model, Ordered probit, Parameter-driven model

Robert C. Jung; Martin Kukuk; Roman Liesenfeld

2006-12-01T23:59:59.000Z

100

Distribution Based Data Filtering for Financial Time Series Forecasting  

E-Print Network (OSTI)

of stock prices, which aims to forecast the future values of the price of a stock, in order to obtain/selling strategies to gain competitive advantage. Classic and popular methods for stock price forecasting [3Distribution Based Data Filtering for Financial Time Series Forecasting Goce Ristanoski1 , James

Bailey, James

Note: This page contains sample records for the topic "time series analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

TaSe model for long term time series forecasting  

Science Conference Proceedings (OSTI)

There exists a wide range of paradigms and a high number of different methodologies applied to the problem of Time Series Prediction. Most of them are presented as a modified function approximation problem using I/O data, in which the input data is expanded ...

Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Alberto Guillén; Olga Valenzuela; Alberto Prieto

2005-06-01T23:59:59.000Z

102

Moored Salinity Time Series Measurements at 0°, 140°W  

Science Conference Proceedings (OSTI)

This study describes moored salinity time series measurements in a biologically productive equatorial upwelling regime in the Pacific Ocean (0°, 140°W). Data were collected at 26 m and at 100 m for 13 months during 1987–1988 using four SEACAT ...

Michael J. McPhaden; H. Paul Freitag; Andrew J. Shepherd

1990-08-01T23:59:59.000Z

103

Wintertime Blocking and Mountain Forcing of the Zonally-Averaged Flow: A Cross-Spectral Time Series Analysis of Observed Data  

Science Conference Proceedings (OSTI)

Nine winters of Northern Hemisphere observations are used for a statistical analysis of the relation between the mountain forcing of the zonally-averaged barotropic wind and blocking. Thereby, the temporal variability of the phenomenon “blocking” ...

Werner Metz

1985-09-01T23:59:59.000Z

104

Rotation of EOFs by the Independent Component Analysis: Toward a Solution of the Mixing Problem in the Decomposition of Geophysical Time Series  

Science Conference Proceedings (OSTI)

The Independent Component Analysis (ICA) is a recently developed technique for component extraction. This new method requires the statistical independence of the extracted components—a stronger constraint that uses higher-order statistics—instead ...

Filipe Aires; William B. Rossow; Alain Chédin

2002-01-01T23:59:59.000Z

105

National Ignition Campaign (NIC) Precision Tuning Series Shock Timing Experiments  

Science Conference Proceedings (OSTI)

A series of precision shock timing experiments have been performed on NIF. These experiments continue to adjust the laser pulse shape and employ the adjusted cone fraction (CF) in the picket (1st 2 ns of the laser pulse) as determined from the re-emit experiment series. The NIF ignition laser pulse is precisely shaped and consists of a series of four impulses, which drive a corresponding series of shock waves of increasing strength to accelerate and compress the capsule ablator and fuel layer. To optimize the implosion, they tune not only the strength (or power) but also, to sub-nanosecond accuracy, the timing of the shock waves. In a well-tuned implosion, the shock waves work together to compress and heat the fuel. For the shock timing experiments, a re-entrant cone is inserted through both the hohlraum wall and the capsule ablator allowing a direct optical view of the propagating shocks in the capsule interior using the VISAR (Velocity Interferometer System for Any Reflector) diagnostic from outside the hohlraum. To emulate the DT ice of an ignition capsule, the inside of the cone and the capsule are filled with liquid deuterium.

Robey, H F; Celliers, P M

2011-07-19T23:59:59.000Z

106

Faster and parameter-free discord search in quasi-periodic time series  

Science Conference Proceedings (OSTI)

Time series discord has proven to be a useful concept for time-series anomaly identification. To search for discords, various algorithms have been developed. Most of these algorithms rely on pre-building an index (such as a trie) for subsequences. Users ... Keywords: anomaly detection, minimax search, periodic time series, time series data mining, time series discord

Wei Luo; Marcus Gallagher

2011-05-01T23:59:59.000Z

107

CDIAC::Carbon Emission::Time Series Global Data  

NLE Websites -- All DOE Office Websites (Extended Search)

The 2013 version of this database presents a time series recording 1° The 2013 version of this database presents a time series recording 1° latitude by 1° longitude CO2 emissions in units of million metric tons of carbon per year from anthropogenic sources for 1751-2010. Detailed geographic information on CO2 emissions can be critical in understanding the pattern of the atmospheric and biospheric response to these emissions. Global, regional, and national annual estimates for 1751 through 2010 were published earlier (Boden et al. 2013). Those national, annual CO2 emission estimates were based on statistics about fossil-fuel burning, cement manufacturing and gas flaring in oil fields as well as energy production, consumption, and trade data, using the methods of Marland and Rotty (1984). The national annual estimates were combined with gridded 1° data on

108

Time Series, Stochastic Processes and Completeness of Quantum Theory  

Science Conference Proceedings (OSTI)

Most of physical experiments are usually described as repeated measurements of some random variables. Experimental data registered by on?line computers form time series of outcomes. The frequencies of different outcomes are compared with the probabilities provided by the algorithms of quantum theory (QT). In spite of statistical predictions of QT a claim was made that it provided the most complete description of the data and of the underlying physical phenomena. This claim could be easily rejected if some fine structures

2011-01-01T23:59:59.000Z

109

Automatic Detection of Geomagnetic Jerks by Applying a Statistical Time Series Model  

E-Print Network (OSTI)

Automatic Detection of Geomagnetic Jerks by Applying a Statistical Time Series Model to Geomagnetic@ism.ac.jp 3 Data Analysis Center for Geomagnetism and Space Magnetism, Graduate School of Science, Kyoto. A geomagnetic jerk is de#12;ned as a sudden change in the trend of the time derivative of geomagnetic secular

Higuchi, Tomoyuki

110

Time-series analysis for the episodic production and transport of methane from the Glacial Lake Agassiz peatlands, northern Minnesota. Final report  

SciTech Connect

The large peat basins of North America are an important reservoir in the global carbon cycle and a significant source of atmospheric methane. The authors investigated carbon cycling in the Glacial Lake Agassiz peatlands (GLAP) of Minnesota. Initially in 1990, they identified a dramatic change in the concentration of methane in the pore-waters of the raised bogs in the GLAP during an extreme drought. This methane dissipated when the drought broke in 1991 and the occurrence of deep methane is related to changes in the direction of groundwater flow in the peat column. The production of methane and its diffusive loss to the atmosphere was modeled and was about 10 times less than that measured directly in chambers at the land surface. It is clear from the reversals in hydraulic heat, changes in pore-water chemical composition over time, and paleostratigraphic markers, that regional ground water flow systems that are controlled by climate change are unexpectedly a major control over methanogenesis and carbon cycling in GLAP. Seismic profiles made showed that buried bedrock ridges particularly deflect regional groundwater flow upwards towards the land surface and towards raised bog landforms. In addition, high-resolution GPS measurements from data stations funded by this DOE project have shown this year that the peakland land surface elevation changes daily on a scale of cms, and seasonally on a scale of 10s of cm. This most recent observation is exciting because it may reflect episodic degassing of free phase methane from the peat column to the atmosphere, a source for methane previously unaccounted for by methane researchers.

Siegel, D.I.

1998-01-01T23:59:59.000Z

111

Trend Change Detection in NDVI Time Series: Effects of Inter-Annual Variability and Methodology  

E-Print Network (OSTI)

Abstract: Changing trends in ecosystem productivity can be quantified using satellite observations of Normalized Difference Vegetation Index (NDVI). However, the estimation of trends from NDVI time series differs substantially depending on analyzed satellite dataset, the corresponding spatiotemporal resolution, and the applied statistical method. Here we compare the performance of a wide range of trend estimation methods and demonstrate that performance decreases with increasing inter-annual variability in the NDVI time series. Trend slope estimates based on annual aggregated time series or based on a seasonal-trend model show better performances than methods that remove the seasonal cycle of the time series. A breakpoint detection analysis reveals that an overestimation of breakpoints in NDVI trends can result in wrong or even opposite trend estimates. Based on our results, we give practical recommendations for the application of trend methods on long-term NDVI time series. Particularly, we apply and compare different methods on NDVI time series in Alaska, where both greening and browning trends have been previously observed. Here, the multi-method uncertainty of NDVI trendsRemote Sens. 2013, 5 2114

Matthias Forkel; Nuno Carvalhais; Jan Verbesselt; Miguel D. Mahecha; Christopher S. R. Neigh; Markus Reichstein

2013-01-01T23:59:59.000Z

112

Use of WindSat to Extend a Microwave-Based Daily Optimum Interpolation Sea Surface Temperature Time Series  

Science Conference Proceedings (OSTI)

The NOAA ¼° daily optimum interpolation sea surface temperature analysis (DOISST) is available either as a 31-yr (from 1981 onward) time series based on Advanced Very High Resolution Radiometer (AVHRR) observations or as a 9-yr (2002–11) time ...

Viva F. Banzon; Richard W. Reynolds

2013-04-01T23:59:59.000Z

113

Classification of Multi-Dimensional Streaming Time Series by Weighting each Classifier's Track Record  

E-Print Network (OSTI)

increasingly, home-based) medical devices can produce time series streams from more than twenty sensors

Keogh, Eammon

114

Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations  

Science Conference Proceedings (OSTI)

A given observation in time series does not only depend on preceding one but also previous ones in general. Therefore, high order fuzzy time series approach might obtain better forecasts than does first order fuzzy time series approach. Defining fuzzy ... Keywords: Forecasting, Fuzzy relation, Fuzzy set, High order fuzzy time series, Neural networks

Cagdas H. Aladag; Murat A. Basaran; Erol Egrioglu; Ufuk Yolcu; Vedide R. Uslu

2009-04-01T23:59:59.000Z

115

A comparison study between fuzzy time series model and ARIMA model for forecasting Taiwan export  

Science Conference Proceedings (OSTI)

This study compares the application of two forecasting methods on the amount of Taiwan export, the ARIMA time series method and the fuzzy time series method. Models discussed for the fuzzy time series method include the Factor models, the Heuristic models, ... Keywords: ARIMA model, Fuzzy time series, Taiwan export

Chi-Chen Wang

2011-08-01T23:59:59.000Z

116

Time Series Measurements from a Moored Fluorescence-Based Dissolved Oxygen Sensor  

Science Conference Proceedings (OSTI)

We present an analysis of time-series measurements from a prototype fluorescence-quenching dissolved oxygen sensor moored for a six-day period in late March 1987 at 100 m depth in Saanich Inlet, British Columbia. Temporal variations in dissolved ...

Richard E. Thomson; Terrence A. Curran; M. Coreen Hamilton; Ronald McFarlane

1988-10-01T23:59:59.000Z

117

Improved forecasting of time series data of real system using genetic programming  

Science Conference Proceedings (OSTI)

A study is made to improve short term forecasting of time series data of real system using Genetic Programming (GP) under the framework of time delayed embedding technique. GP based approach is used to make analytical model of time series data of real ... Keywords: genetic programming, state-space reconstruction, time series forecasting

Dilip P. Ahalpara

2010-07-01T23:59:59.000Z

118

Forecasting Financial Time-Series using Artificial Market Models  

E-Print Network (OSTI)

We discuss the theoretical machinery involved in predicting financial market movements using an artificial market model which has been trained on real financial data. This approach to market prediction - in particular, forecasting financial time-series by training a third-party or 'black box' game on the financial data itself -- was discussed by Johnson et al. in cond-mat/0105303 and cond-mat/0105258 and was based on some encouraging preliminary investigations of the dollar-yen exchange rate, various individual stocks, and stock market indices. However, the initial attempts lacked a clear formal methodology. Here we present a detailed methodology, using optimization techniques to build an estimate of the strategy distribution across the multi-trader population. In contrast to earlier attempts, we are able to present a systematic method for identifying 'pockets of predictability' in real-world markets. We find that as each pocket closes up, the black-box system needs to be 'reset' - which is equivalent to sayi...

Gupta, N; Johnson, N F; Gupta, Nachi; Hauser, Raphael; Johnson, Neil F.

2005-01-01T23:59:59.000Z

119

Estimating the predictability of economic and financial time series  

E-Print Network (OSTI)

The predictability of a time series is determined by the sensitivity to initial conditions of its data generating process. In this paper our goal is to characterize this sensitivity from a finite sample by assuming few hypotheses on the data generating model structure. In order to measure the distance between two trajectories induced by a same noisy chaotic dynamic from two close initial conditions, a symmetric Kullback-Leiber divergence measure is used. Our approach allows to take into account the dependence of the residual variance on initial conditions. We show it is linked to a Fisher information matrix and we investigated its expressions in the cases of covariance-stationary processes and ARCH($\\infty$) processes. Moreover, we propose a consistent non-parametric estimator of this sensitivity matrix in the case of conditionally heteroscedastic autoregressive nonlinear processes. Various statistical hypotheses can so be tested as for instance the hypothesis that the data generating process is "almost" independently distributed at a given moment. Applications to simulated data and to the stock market index S&P500 illustrate our findings. More particularly, we highlight a significant relationship between the sensitivity to initial conditions of the daily returns of the S&P 500 and their volatility.

Quentin Giai Gianetto; Jean-Marc Le Caillec; Erwan Marrec

2012-12-12T23:59:59.000Z

120

An Algorithm for Classification and Outlier Detection of Time-Series Data  

Science Conference Proceedings (OSTI)

An algorithm to perform outlier detection on time-series data is developed, the intelligent outlier detection algorithm (IODA). This algorithm treats a time series as an image and segments the image into clusters of interest, such as “nominal ...

R. Andrew Weekley; Robert K. Goodrich; Larry B. Cornman

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "time series analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Bermuda’s Tale of Two Time Series: Hydrostation S and BATS  

Science Conference Proceedings (OSTI)

This paper describes the oceanic variability at Bermuda between 1989 and 1999, recorded in two overlapping hydrographic time series. Station S and Bermuda Atlantic Time Series Study (BATS), which are 60 km apart, both show that a multidecadal ...

Helen E. Phillips; Terrence M. Joyce

2007-03-01T23:59:59.000Z

122

Regime-Dependent Autoregressive Time Series Modeling of the Southern Oscillation  

Science Conference Proceedings (OSTI)

The class of “regime dependent autoregressive” time series models (RAMs) is introduced. These nonlinear models describe variations of the moments of nonstationary time series by allowing parameter values to change with the state of an ancillary ...

Francis Zwiers; Hans Von Storch

1990-12-01T23:59:59.000Z

123

A hybrid neural network and ARIMA model for water quality time series prediction  

Science Conference Proceedings (OSTI)

Accurate predictions of time series data have motivated the researchers to develop innovative models for water resources management. Time series data often contain both linear and nonlinear patterns. Therefore, neither ARIMA nor neural networks can be ... Keywords: ARIMA, Backpropagation, Hybrid model, Neural networks, Time series

Durdu Ömer Faruk

2010-06-01T23:59:59.000Z

124

VTG schemes for using back propagation for multivariate time series prediction  

Science Conference Proceedings (OSTI)

This research proposes the three schemes of estimating and adding mid-terms to multivariate time series. In this research, the back propagation is adopted as the approach to multivariate time series prediction. It is traditionally designed for the task ... Keywords: Multivariate time series prediction, Neural networks, Virtual terms

Taeho Jo

2013-05-01T23:59:59.000Z

125

Optimizing the extreme learning machine using harmony search for hydrologic time series forecasting  

Science Conference Proceedings (OSTI)

Lately, the research related to time series forecasting has been an area of considerable interest in different fields. It is very important to predict the behavior of the time series but it is not an easy task. Several models to aim this issue have been ... Keywords: extreme learning machine, harmony search, hybrid intelligent system, time series forecasting

Ivna Valença; Mêuser Valença

2012-08-01T23:59:59.000Z

126

An adaptive algorithm for online time series segmentation with error bound guarantee  

Science Conference Proceedings (OSTI)

The volume of time series data grows rapidly in various applications such as network traffic management, telecommunications, finance and sensor network. To reduce the cost of storage, transmission and processing of time series data, the need for more ... Keywords: approximation, segmentation, time series

Zhenghua Xu; Rui Zhang; Ramamohanarao Kotagiri; Udaya Parampalli

2012-03-01T23:59:59.000Z

127

Frontiers in Chemical Physics and Analysis Seminar Series  

E-Print Network (OSTI)

Frontiers in Chemical Physics and Analysis Seminar Series Aqueous Solvation in Extreme Conditions the application of classical chemical dynamics simulations possible for a broad range of problems. However, since

128

Bayesian Variable Selection for Nowcasting Economic Time Series  

E-Print Network (OSTI)

motivation Want to use Google Trends data to nowcast economic series unemployment may be predicted by "job;Avoid spurious regression How to control for trend and seasonality? Build a model for the predictable-chosen contemporaneous regressors from Google Trends non-seasonal AR1: yt = a1yt-1 + bxt + et seasonal AR1: yt = a1yt-1

Varian, Hal R.

129

Stylized facts of financial time series and hidden semi-Markov models  

Science Conference Proceedings (OSTI)

Hidden Markov models reproduce most of the stylized facts about daily series of returns. A notable exception is the inability of the models to reproduce one ubiquitous feature of such time series, namely the slow decay in the autocorrelation function ... Keywords: Daily return series, EM algorithm, Hidden Markov model, Hidden semi-Markov model, Right-censoring, Sojourn time distribution

Jan Bulla; Ingo Bulla

2006-12-01T23:59:59.000Z

130

hal-00122749,version1-8Jan2007 Time Series Forecasting: Obtaining Long Term Trends with  

E-Print Network (OSTI)

. For example when forecast- ing an electrical consumption, it could be advan- tageous to predict all hourly As second example, we use the Polish electrical load time series [ 6]. This series contains hourly valueshal-00122749,version1-8Jan2007 Time Series Forecasting: Obtaining Long Term Trends with Self

Paris-Sud XI, Université de

131

Double SOM for long-term time series prediction Geoffroy Simon1  

E-Print Network (OSTI)

-term prediction, self-organizing maps, Santa Fe, electrical load Abstract --- Many time series forecasting, the Santa Fe A series and a problem of electrical load forecasting. 2 Time series prediction The classical in one bloc, rather than a single t+1 scalar value. For example, in an electrical load forecasting

Paris-Sud XI, Université de

132

Separation of Stochastic and Deterministic Information from Seismological Time Series with Nonlinear Dynamics and Maximum Entropy Methods  

SciTech Connect

We present a procedure developed to detect stochastic and deterministic information contained in empirical time series, useful to characterize and make models of different aspects of complex phenomena represented by such data. This procedure is applied to a seismological time series to obtain new information to study and understand geological phenomena. We use concepts and methods from nonlinear dynamics and maximum entropy. The mentioned method allows an optimal analysis of the available information.

Gutierrez, Rafael M.; Useche, Gina M.; Buitrago, Elias [Centro de Investigaciones, Universidad Antonio Narino, Carrera 3 Este No. 47A--15 Bogota (Colombia)

2007-11-13T23:59:59.000Z

133

SumTime-Turbine: A Knowledge-Based System to Communicate Gas Turbine Time-Series Data  

E-Print Network (OSTI)

SumTime-Turbine: A Knowledge-Based System to Communicate Gas Turbine Time-Series Data Jin Yu produces textual summaries of archived time- series data from gas turbines. These summaries should help evaluated. 1 Introduction In order to get the most out of gas turbines, TIGER [2] has been developed

Reiter, Ehud

134

Long-term time series prediction with the NARX network: An empirical evaluation  

Science Conference Proceedings (OSTI)

The NARX network is a dynamical neural architecture commonly used for input-output modeling of nonlinear dynamical systems. When applied to time series prediction, the NARX network is designed as a feedforward time delay neural network (TDNN), i.e., ... Keywords: Chaotic time series, Long-term prediction, NARX neural network, Nonlinear traffic modeling, Recurrence plot

José Maria P. Menezes, Jr.; Guilherme A. Barreto

2008-10-01T23:59:59.000Z

135

Different Approaches to Forecast Interval Time Series: A Comparison in Finance  

Science Conference Proceedings (OSTI)

An interval time series (ITS) is a time series where each period is described by an interval. In finance, ITS can describe the temporal evolution of the high and low prices of an asset throughout time. These price intervals are related to the concept ... Keywords: Artificial neural networks, Exponential smoothing, Interval arithmetic, Interval data, Nearest neighbors methods, Vector autoregressive models

Javier Arroyo; Rosa Espínola; Carlos Maté

2011-02-01T23:59:59.000Z

136

Six-Week Time Series Of Eddy Covariance Co2 Flux At Mammoth Mountain...  

Open Energy Info (EERE)

Six-Week Time Series Of Eddy Covariance Co2 Flux At Mammoth Mountain, California- Performance Evaluation And Role Of Meteorological Forcing Jump to: navigation, search GEOTHERMAL...

137

Univariate Modeling and Forecasting of Monthly Energy Demand Time Series  

E-Print Network (OSTI)

in this report. #12;i ABSTRACT These electricity demand forms and instructions ask load-serving entities and Instructions for Electricity Demand Forecasts. California Energy Commission, Electricity Supply Analysis.................................................................................................................................7 Form 1 Historic and Forecast Electricity Demand

Abdel-Aal, Radwan E.

138

Approximate k-NN delta test minimization method using genetic algorithms: Application to time series  

Science Conference Proceedings (OSTI)

In many real world problems, the existence of irrelevant input variables (features) hinders the predictive quality of the models used to estimate the output variables. In particular, time series prediction often involves building large regressors of ... Keywords: Approximate k-nearest neighbors, Delta test, Genetic algorithm, Time series, Variable projection, Variable scaling, Variable selection

Fernando Mateo; Dušan Sovilj; Rafael Gadea

2010-06-01T23:59:59.000Z

139

A test for second order stationarity of a time series based on the Discrete Fourier Transform  

E-Print Network (OSTI)

A test for second order stationarity of a time series based on the Discrete Fourier Transform property, we construct a Portmanteau type test statistic for testing stationarity of the time series. It is shown that under the null of stationarity, the test statistic is approximately a chi square distribution

Subba Rao, Suhasini

140

Classification of Multivariate Time Series and Structured Data Using Constructive Induction  

Science Conference Proceedings (OSTI)

We present a method of constructive induction aimed at learning tasks involving multivariate time series data. Using metafeatures, the scope of attribute-value learning is expanded to domains with instances that have some kind of recurring substructure, ... Keywords: constructive induction, propositionalisation, substructure, time series

Mohammed Waleed Kadous; Claude Sammut

2005-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "time series analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

On the Average Value of Correlated Time Series, with Applications in Dendroclimatology and Hydrometeorology  

Science Conference Proceedings (OSTI)

In a number of areas of applied climatology, time series are either averaged to enhance a common underlying signal or combined to produce area averages. How well, then, does the average of a finite number (N) of time series represent the ...

T. M. L. Wigley; K. R. Briffa; P. D. Jones

1984-02-01T23:59:59.000Z

142

Aggregation of asynchronous electric power consumption time series knowing the integral  

Science Conference Proceedings (OSTI)

More and more data mining algorithms are applied to a large number of long time series issued by many distributed sensors. The consequence of the huge volume of data is that data warehouses often contain asynchronous time series, i.e. the values have ...

Raja Chiky; Laurent Decreusefond; Georges Hébrail

2010-03-01T23:59:59.000Z

143

Hybridization of intelligent techniques and ARIMA models for time series prediction  

Science Conference Proceedings (OSTI)

Traditionally, the autoregressive moving average (ARMA) model has been one of the most widely used linear models in time series prediction. Recent research activities in forecasting with artificial neural networks (ANNs) suggest that ANNs can be a promising ... Keywords: ARIMA models, Fuzzy systems, Hybrid system, Neural networks, Time series

O. Valenzuela; I. Rojas; F. Rojas; H. Pomares; L. J. Herrera; A. Guillen; L. Marquez; M. Pasadas

2008-04-01T23:59:59.000Z

144

EOFs of One-Dimensional Cyclostationary Time Series: Computations, Examples, and Stochastic Modeling  

Science Conference Proceedings (OSTI)

Many climatic time series seem to be a mixture of unpredictable fluctuations and changes that occur at a known frequency, as in the case of the annual cycle. Such a time series is called a cyclostationary process. The lagged covariance statistics ...

Kwang-Y. Kim; Gerald R. North; Jianping Huang

1996-04-01T23:59:59.000Z

145

Fast algorithms for time series with applications to finance, physics, music, biology, and other suspects  

Science Conference Proceedings (OSTI)

Financial time series streams are watched closely by millions of traders. What exactly do they look for and how can we help them do it faster? Physicists study the time series emerging from their sensors. The same question holds for them. Musicians produce ...

Alberto Lerner; Dennis Shasha; Zhihua Wang; Xiaojian Zhao; Yunyue Zhu

2004-06-01T23:59:59.000Z

146

Mining pixel evolutions in satellite image time series for agricultural monitoring  

Science Conference Proceedings (OSTI)

In this paper, we present a technique to help the experts in agricultural monitoring, by mining Satellite Image Time Series over cultivated areas. We use frequent sequential patterns extended to this spatiotemporal context in order to extract sets of ... Keywords: agricultural monitoring, constraints, satellite image time series, spatiotemporal patterns

Andreea Julea; Nicolas Méger; Christophe Rigotti; Emmanuel Trouvé; Philippe Bolon; Vasile L?z?rescu

2011-08-01T23:59:59.000Z

147

Time Series Prediction of Mining Subsidence Based on Genetic Algorithm Neural Network  

Science Conference Proceedings (OSTI)

In order to find out the dynamics law of underground coal mining subsidence, BP neural network was used for time series prediction. First, genetic algorithm was used to optimize the initial network weight to overcome the inherent defects of BP neural ... Keywords: Mining subsidence, time series, BP neural network, genetic algorithm

Peixian Li; Zhixiang Tan; Lili Yan; Kazhong Deng

2011-07-01T23:59:59.000Z

148

Defining and applying prediction performance metrics on a recurrent NARX time series model  

Science Conference Proceedings (OSTI)

Nonlinear autoregressive moving average with exogenous inputs (NARMAX) models have been successfully demonstrated for modeling the input-output behavior of many complex systems. This paper deals with the proposition of a scheme to provide time series ... Keywords: NARX models, Prediction performance metrics, Recurrent radial basis function network, Time series prediction

Ryad Zemouri; Rafael Gouriveau; Noureddine Zerhouni

2010-08-01T23:59:59.000Z

149

Fast and exact synthesis of stationary multivariate Gaussian time series using circulant embedding  

Science Conference Proceedings (OSTI)

A fast and exact procedure for the numerical synthesis of stationary multivariate Gaussian time series with a priori prescribed and well controlled auto- and cross-covariance functions is proposed. It is based on extending the circulant embedding technique ... Keywords: Circulant embedding, Multivariate Gaussian series, Numerical synthesis, Stationarity, Time-reversibility

Hannes Helgason; Vladas Pipiras; Patrice Abry

2011-05-01T23:59:59.000Z

150

A geometrical solution to time series searching invariant to shifting and scaling  

Science Conference Proceedings (OSTI)

The technique of searching for similar patterns among time series data is very useful in many applications. The problem becomes difficult when shifting and scaling are considered. We find that we can treat the problem geometrically and the major contribution ... Keywords: information search and retrieval, similarity search, spatial indexing, time series database

Mi Zhou; Man-Hon Wong; Kam-Wing Chu

2006-02-01T23:59:59.000Z

151

A novel hybridization of artificial neural networks and ARIMA models for time series forecasting  

Science Conference Proceedings (OSTI)

Improving forecasting especially time series forecasting accuracy is an important yet often difficult task facing decision makers in many areas. Both theoretical and empirical findings have indicated that integration of different models can be an effective ... Keywords: Artificial neural networks (ANNs), Auto-regressive integrated moving average (ARIMA), Hybrid models, Time series forecasting

Mehdi Khashei; Mehdi Bijari

2011-03-01T23:59:59.000Z

152

Statistical properties of information flow in financial time series  

E-Print Network (OSTI)

In this study, we tested possible factors that influence the information flow in the stock market. The time dependency, market factors, and market status were assessed using the Korean and US stock market data. We determined that all tested factors were significantly related to the information flow between stocks. Additionally, we have employed an original network consisting of stocks and networks by the minimal spanning tree (MST) method, in order to find a alternative method by which we could effectively investigate the characteristics of information flow between stocks. The empirical evidences gathered using $N-1$ links by the MST method did not differ when $N(N-1)/2$ whole links by the original network were used. These results indicate that links selected via the MST method may be reflective of meaningful characteristics of information flow between stocks in the market.

Eom, Cheoljun; Jung, Woo-Sung

2008-01-01T23:59:59.000Z

153

Transportation Energy Futures Series: Vehicle Technology Deployment Pathways: An Examination of Timing and Investment Constraints  

SciTech Connect

Scenarios of new vehicle technology deployment serve various purposes; some will seek to establish plausibility. This report proposes two reality checks for scenarios: (1) implications of manufacturing constraints on timing of vehicle deployment and (2) investment decisions required to bring new vehicle technologies to market. An estimated timeline of 12 to more than 22 years from initial market introduction to saturation is supported by historical examples and based on the product development process. Researchers also consider the series of investment decisions to develop and build the vehicles and their associated fueling infrastructure. A proposed decision tree analysis structure could be used to systematically examine investors' decisions and the potential outcomes, including consideration of cash flow and return on investment. This method requires data or assumptions about capital cost, variable cost, revenue, timing, and probability of success/failure, and would result in a detailed consideration of the value proposition of large investments and long lead times. This is one of a series of reports produced as a result of the Transportation Energy Futures (TEF) project, a Department of Energy-sponsored multi-agency effort to pinpoint underexplored strategies for abating GHGs and reducing petroleum dependence related to transportation.

Plotkin, S.; Stephens, T.; McManus, W.

2013-03-01T23:59:59.000Z

154

SCHOOL OF MATHEMATICS AND STATISTICS Spring Semester Time Series 2 hours  

E-Print Network (OSTI)

to University regulations. There are 99 marks available on the paper. Please leave this exam paper on your desk time series and their relationship, using suitable technical terms and adding approximate quanti series model Xt = 1 3 Xt-1 + t + 1 2 t-1 - 1 4 t-2, where t is white noise with variance 4. (i) Explain

Oakley, Jeremy

155

Anomaly detection in noisy and irregular time series: the "turbodiesel charging pressure" case study  

Science Conference Proceedings (OSTI)

In this paper we consider the problem of detecting anomalies in sample series obtained from critical train subsystems. Our study is the analysis of charging pressure in turbodiesel engines powering a fleet of passenger trains. We describe an automated ...

Anahì Balbi; Michael Provost; Armando Tacchella

2010-06-01T23:59:59.000Z

156

Kernel Auto-Regressive Model with eXogenous Inputs for Nonlinear Time Series Prediction  

Science Conference Proceedings (OSTI)

In this paper we present a novel approach for nonlinear time series prediction using Kernel methods. The kernel methods such as Support Vector Machine(SVM) and Support Vector Regression(SVR) deal with nonlinear problems assuming independent and identically ...

Venkataramana B. Kini; C. Chandra Sekhar

2007-03-01T23:59:59.000Z

157

Inferring mechanism from time-series data: Delay-differential equations  

E-Print Network (OSTI)

D 110 (1997) 182–194 Fig. 3. ACF of the residual errors ofautocorrelation function (ACF) as the diagnostic for non-autocorrelation function (ACF) of the residual time series.

Ellner, Stephen Paul; Kendall, Bruce E.; Wood, Simon N.; McCauley, Ed; Briggs, Cheryl J

1997-01-01T23:59:59.000Z

158

Climate Signal Detection Using Wavelet Transform: How to Make a Time Series Sing  

Science Conference Proceedings (OSTI)

In this paper, the application of the wavelet transform (WT) to climate time series analyses is introduced. A tutorial description of the basic concept of WT compared with similar concepts used in music, is also provided. Using an analogy between ...

K-M. Lau; Hengyi Weng

1995-12-01T23:59:59.000Z

159

Prediction of long-range dependent time series data with performance guarantee  

Science Conference Proceedings (OSTI)

Modelling and predicting long-range dependent time series data can find important and practical applications in many areas such as telecommunications and finance. In this paper, we consider Fractional Autoregressive Integrated Moving Average (FARIMA) ...

Mikhail Dashevskiy; Zhiyuan Luo

2009-10-01T23:59:59.000Z

160

Learning to imitate stochastic time series in a compositional way by chaos  

E-Print Network (OSTI)

This study shows that a mixture of RNN experts model can acquire the ability to generate sequences combining multiple primitive patterns by means of self-organizing chaos. By training of the model, each expert learns a primitive sequence pattern, and a gating network learns to imitate stochastic switching of the multiple primitives via a chaotic dynamics, utilizing a sensitive dependence on initial conditions. As a demonstration, we present a numerical simulation in which the model learns Markov chain switching among some Lissajous curves by a chaotic dynamics. Our analysis shows that by using a sufficient amount of training data, balanced with the network memory capacity, it is possible to satisfy the conditions for embedding the target stochastic sequences into a chaotic dynamical system. It is also shown that reconstruction of a stochastic time series by a chaotic model can be stabilized by adding a negligible amount of noise to the dynamics of the model.

Jun Namikawa; Jun Tani

2008-05-13T23:59:59.000Z

Note: This page contains sample records for the topic "time series analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Superstatistical fluctuations in time series: applications to share price dynamics and turbulence  

E-Print Network (OSTI)

We introduce a general technique to study whether a given experimental time series is superstatistical. Crucial for the applicability of the superstatistics concept is the existence of a parameter $\\beta$ that fluctuates on a large time scale as compared to the other time scales of the complex system under consideration. The proposed method extracts the main superstatistical parameters out of a given data set and checks the validity of the superstatistical model assumptions. We test the method thoroughly with surrogate data sets. Then the applicability of the superstatistical approach is illustrated using real experimental data. We study two examples, velocity time series measured in turbulent Taylor-Couette flows and time series of log-returns of the closing prices of some stock market indices.

Van der Straeten, Erik

2009-01-01T23:59:59.000Z

162

Six-Week Time Series Of Eddy Covariance Co2 Flux At Mammoth Mountain,  

Open Energy Info (EERE)

Six-Week Time Series Of Eddy Covariance Co2 Flux At Mammoth Mountain, Six-Week Time Series Of Eddy Covariance Co2 Flux At Mammoth Mountain, California- Performance Evaluation And Role Of Meteorological Forcing Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Six-Week Time Series Of Eddy Covariance Co2 Flux At Mammoth Mountain, California- Performance Evaluation And Role Of Meteorological Forcing Details Activities (1) Areas (1) Regions (0) Abstract: CO2 and heat fluxes were measured over a six-week period (09/08/2006 to 10/24/2006) by the eddy covariance (EC) technique at the Horseshoe Lake tree kill (HLTK), Mammoth Mountain, CA, a site with complex terrain and high, spatially heterogeneous CO2 emission rates. EC CO2 fluxes ranged from 218 to 3500 g m- 2 d- 1 (mean = 1346 g m- 2 d- 1). Using footprint modeling, EC CO2 fluxes were compared to CO2 fluxes measured by

163

TIME SERIES MODELS OF THREE SETS OF RXTE OBSERVATIONS OF 4U 1543-47  

SciTech Connect

The X-ray nova 4U 1543-47 was in a different physical state (low/hard, high/soft, and very high) during the acquisition of each of the three time series analyzed in this paper. Standard time series models of the autoregressive moving average (ARMA) family are fitted to these series. The low/hard data can be adequately modeled by a simple low-order model with fixed coefficients, once the slowly varying mean count rate has been accounted for. The high/soft series requires a higher order model, or an ARMA model with variable coefficients. The very high state is characterized by a succession of 'dips', with roughly equal depths. These seem to appear independently of one another. The underlying stochastic series can again be modeled by an ARMA form, or roughly as the sum of an ARMA series and white noise. The structuring of each model in terms of short-lived aperiodic and 'quasi-periodic' components is discussed.

Koen, C. [Department of Statistics, University of the Western Cape, Private Bag X17, Bellville, 7535 Cape (South Africa)] [Department of Statistics, University of the Western Cape, Private Bag X17, Bellville, 7535 Cape (South Africa)

2013-03-01T23:59:59.000Z

164

Statistical and Multifractal Properties of the Time Series Generated by a Modified Minority Game  

E-Print Network (OSTI)

In this paper it was developed a modification of the known multiagent model Minority Game, designed to simulate the behavior of traders in financial markets and the resulting price dynamics on the abstract resource. The model was implemented in the form of software. The modified version of Minority Game was investigated with the aim of reproducing the basic properties of real financial time series. It was proved that such properties as the clustering of volatility, the Levy distribution and multifractality are inherent for generated by this version of the Minority Game time series of prices.

Kuperin, Yu A

2010-01-01T23:59:59.000Z

165

A new measure of phase synchronization for a pair of time series and seizure focus localization  

E-Print Network (OSTI)

Defining and measuring phase synchronization in a pair of nonlinear time series are highly nontrivial. This can be done with the help of Fourier transform, when it exists, for a pair of stored (hence stationary) signals. In a time series instantaneous phase is often defined with the help of Hilbert transform. In this paper phase of a time series has been defined with the help of Fourier transform. This gives rise to a deterministic method to detect phase synchronization in its most general form between a pair of time series. Since this is a stricter method than the statistical methods based on instantaneous phase, this can be used for lateralization and source localization of epileptic seizures with greater accuracy. Based on this method a novel measure of phase synchronization, called syn function, has been defined, which is capable of quantifying neural phase synchronization and asynchronization as important parameters of epileptic seizure dynamics. It has been shown that such a strict measure of phase synchronization has potential application in seizure focus localization from scalp electroencephalogram (EEG) data, without any knowledge of electrical conductivity of the head.

Kaushik Majumdar

2006-12-13T23:59:59.000Z

166

An automated pipeline for asteroseismology based on the autocorrelation of stellar time series  

E-Print Network (OSTI)

The autocorrelation of an asteroseismic time series has been identified as a powerful tool capable of providing measurements of the large frequency separations. The performance of this method has been assessed and quantified by Mosser & Appourchaux (2009). We propose now an automated pipeline based on it and describe its performance.

Mosser, Benoit

2010-01-01T23:59:59.000Z

167

VBR MPEG Video Traffic Dynamic Prediction Based on the Modeling and Forecast of Time Series  

Science Conference Proceedings (OSTI)

The variable-bit-rate traffic characteristic brings a large complication to the utilization of network resources, especially bandwidth. To solve this problem, this paper proposes a dynamic prediction scheme of MPEG video traffic. We first advance an ... Keywords: MPEG, video trace, forecast, time series, ARMA

Jun Dai; Jun Li

2009-08-01T23:59:59.000Z

168

Unraveling complex temporal associations in cellular systems across multiple time-series microarray datasets  

Science Conference Proceedings (OSTI)

Unraveling the temporal complexity of cellular systems is a challenging task, as the subtle coordination of molecular activities cannot be adequately captured by simple mathematical concepts such as correlation. This paper addresses the challenge with ... Keywords: Complex temporal association, Time-series microarray data

Wenyuan Li; Min Xu; Xianghong Jasmine Zhou

2010-08-01T23:59:59.000Z

169

The multi-agent system for prediction of financial time series  

Science Conference Proceedings (OSTI)

To take into account different character of distinct segments of non-stationary financial time series the multi-agent system based forecasting algorithm is suggested. The primary goal of present paper is to introduce methodological findings that could ... Keywords: classification, dimensionality, forecasting, sliding window, training

Šar?nas Raudys; Indre Zliobaite

2006-06-01T23:59:59.000Z

170

Recognising Visual Patterns to Communicate Gas Turbine Time-Series Data  

E-Print Network (OSTI)

Recognising Visual Patterns to Communicate Gas Turbine Time-Series Data Jin Yu, Jim Hunter, Ehud analogue channels are sampled once per second and archived by the Tiger system for monitoring gas turbines that it is very important to identify such patterns in any attempt at summarisation. In the gas turbine domain

Reiter, Ehud

171

Chaotic Time Series Forecasting Base on Fuzzy Adaptive PSO for Feedforward Neural Network Training  

Science Conference Proceedings (OSTI)

Short-term electricity demand forecasting for the next hour to several days out is one of the most important tools by which an electric utility plans and dispatches the loading of generating units in order to meet system demand. But there exists chaos ... Keywords: Particle Swarm Optimization (PSO), chaotic time Series, fuzzy system, feedforward neural network

Wenyu Zhang; Jinzhao Liang; Jianzhou Wang; Jinxing Che

2008-11-01T23:59:59.000Z

172

Fusion of hypothesis testing for nonlinearity detection in small time series  

Science Conference Proceedings (OSTI)

The performances of parametric or non-parametric Hypothesis Testing (HT) for nonlinearity detection are fairly weak for small time series (typically between 128 and 512 samples). A natural idea to improve the results is to merge several HT to make a ... Keywords: Decision fusion, HOS methods, Hypothesis testing fusion, Mutual information, Nonlinearity detection, Signal modelling

Jean-Marc Le Caillec; Julien Montagner

2013-05-01T23:59:59.000Z

173

Forecasting of Chaotic Cloud Absorption Time Series for Meteorological and Plume Dispersion Modeling  

Science Conference Proceedings (OSTI)

A nonlinear forecasting method based on the reconstruction of a chaotic strange attractor from about 1.5 years of cloud absorption data obtained from half-hourly Meteosat infrared images was used to predict the behavior of the time series 24 h in ...

V. Pérez-Muñuzuri

1998-11-01T23:59:59.000Z

174

Generating English Summaries of Time Series Data Using the Gricean Maxims  

E-Print Network (OSTI)

, gas-turbine sensor readings, and hospital intensive care data. Our weather-forecast generator users. Categories and Subject Descriptors I.2.7 [Natural Language Processing]: Language Generation. Keywords Time series data, Summarization, Natural Language Processing, Gricean maxims. 1. INTRODUCTION

Sripada, Yaji

175

Data Mining of Coal Mining Gas Time Series and Knowledge Discovery  

Science Conference Proceedings (OSTI)

Use the data mining techniques to discover the regularity knowledge from the gas sensor monitoring history database is very important approach for the supervisors to identify the reason causing the exceptional fluctuation automatically and make the correct ... Keywords: data mining, time series, clustering, shape measure, knowledge discovery

Shisong Zhu; Yunjia Wang; Lifang Kong

2011-10-01T23:59:59.000Z

176

BN-97-4-4 (RP-875) The Radiant Time Series Cooling  

E-Print Network (OSTI)

, Ph.D., P.E. Member ASHRAE Daniel E. Fisher, Ph.D. Member ASHRAE Curtis O. Pedersen, Ph.D. Fellow ASHRAE ABSTRACT Theradiant time series methodis a newmethodfor per- forming design cooling load, Inc. (www.ashrae.org). P

177

A visual analytics approach for peak-preserving prediction of large seasonal time series  

Science Conference Proceedings (OSTI)

Time series prediction methods are used on a daily basis by analysts for making important decisions. Most of these methods use some variant of moving averages to reduce the number of data points before prediction. However, to reach a good prediction ...

M. C. Hao; H. Janetzko; S. Mittelstädt; W. Hill; U. Dayal; D. A. Keim; M. Marwah; R. K. Sharma

2011-06-01T23:59:59.000Z

178

Time Series Forecasting for Dynamic Environments: the DyFor Genetic Program Model  

E-Print Network (OSTI)

Time Series Forecasting for Dynamic Environments: the DyFor Genetic Program Model Neal Wagner programming (GP) to the task of forecasting with favorable results. However, these studies, like those "dynamic" GP model that is specifically tailored for forecasting in non-static environments. This Dynamic

Michalewicz, Zbigniew

179

Application of Bayesian trained RBF networks to nonlinear time-series modeling  

Science Conference Proceedings (OSTI)

We examine Bayesian learning of a regularization factor and the noise level of radial basis function (RBF) networks in the framework of nonlinear time-series prediction and system modeling. A Bayesian trained RBF network is applied in an autonomous recursive ... Keywords: Bayesian learning, nonlinear modeling, oscillator model

Erhard Rank

2003-07-01T23:59:59.000Z

180

Matching pursuit by undecimated discrete wavelet transform for non-stationary time series of arbitrary length  

Science Conference Proceedings (OSTI)

We describe how to formulate a matching pursuit algorithm which successively approximates a periodic non-stationary time series with orthogonal projections onto elements of a suitable dictionary. We discuss how to construct such dictionaries derived ... Keywords: Discrete wavelet transform, matching pursuit, undecimated discrete wavelet transform

A. T. Walden; A. Contreras Cristan

1998-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "time series analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

An emission time series generator for pollutant release modelling in urban areas  

Science Conference Proceedings (OSTI)

Dynamic priority pollutant (PP) fate models are being developed to assess appropriate strategies for limiting the release of PPs from urban sources and for treating PPs on a variety of spatial scales. Different possible sources of PP releases were mapped ... Keywords: Emission pattern, Generator, Priority pollutants, Release dynamics, Sewer catchment model, Time series

W. De Keyser; V. Gevaert; F. Verdonck; B. De Baets; L. Benedetti

2010-04-01T23:59:59.000Z

182

Forecasting airborne pollen concentration time series with neural and neuro-fuzzy models  

Science Conference Proceedings (OSTI)

Forecasting airborne pollen concentrations is one of the most studied topics in aerobiology, due to its crucial application to allergology. The most used tools for this problem are single lineal regressions and autoregressive models (ARIMA). Notwithstanding, ... Keywords: Aerobiology, Airborne pollen, Forecasting, Neuro-fuzzy, Time series

José Luis Aznarte M.; José Manuel Benítez Sánchez; Diego Nieto Lugilde; Concepción de Linares Fernández; Consuelo Díaz de la Guardia; Francisca Alba Sánchez

2007-05-01T23:59:59.000Z

183

Dynamics in the Deep Canada Basin, Arctic Ocean, Inferred by Thermistor Chain Time Series  

Science Conference Proceedings (OSTI)

A 50-day time series of high-resolution temperature in the deepest layers of the Canada Basin in the Arctic Ocean indicates that the deep Canada Basin is a dynamically active environment, not the quiet, stable basin often assumed. Vertical ...

M-L. Timmermans; H. Melling; L. Rainville

2007-04-01T23:59:59.000Z

184

An approach to generating summaries of time series data in the gas turbine domain  

E-Print Network (OSTI)

In this paper, we propose an approach to generating summaries of time series data in the gas turbine domain using AI techniques. Through the think-aloud method with the aid of visualization of temporal data using time series workbench (TSW), both domain knowledge from experts about how to solve problems in the gas turbine and information about how domain experts analyze the archived temporal data are gotten. An algorithm to select interesting events is proposed and a prototype knowledge-based system is designed to generate summary of temporal data for interesting events in the gas turbine domain. Some further research works also are pointed. Key words: knowledge acquisition, knowledge-based system, gas turbine. 1

Jin Yu; Jim Hunter; Ehud Reiter; Somayajulu Sripada

2001-01-01T23:59:59.000Z

185

A Radial Basis Function Approach to Financial Time Series Analysis  

E-Print Network (OSTI)

Nonlinear multivariate statistical techniques on fast computers offer the potential to capture more of the dynamics of the high dimensional, noisy systems underlying financial markets than traditional models, while ...

Hutchinson, James M.

1993-12-01T23:59:59.000Z

186

A test for second order stationarity of a time series based on the Discrete Fourier Transform -Technical report  

E-Print Network (OSTI)

A test for second order stationarity of a time series based on the Discrete Fourier Transform stationary. Exploiting this important property, we construct a Portmanteau type test statistic for testing stationarity of the time series. It is shown that under the null of stationarity, the test statistic has

Subba Rao, Suhasini

187

Design of specific-to-problem kernels and use of kernel weighted K-nearest neighbours for time series modelling  

Science Conference Proceedings (OSTI)

Least squares support vector machines (LSSVM) with Gaussian kernel represent the most used of the kernel methods existing in the literature for regression and time series prediction. These models have a good behaviour for these types of problems due ... Keywords: Kernel methods, Kernel weighted K-Nearest Neighbours, Least squares support vector machines, Parallelization of kernel methods, Specific to problem kernels, Time series modelling

Ginés Rubio; Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Alberto Guillén

2010-06-01T23:59:59.000Z

188

Similarity retrieval from time-series tropical cyclone observations using a neural weighting generator for forecasting modeling  

Science Conference Proceedings (OSTI)

Building a forecasting model for time-series data is a tough but very valuable research topic in recent years. High variation of time-series features must be considered appropriately for an accurate prediction. For weather forecasting, which is continuous, ...

Bo Feng; James N. K. Liu

2005-09-01T23:59:59.000Z

189

Soft computing methods to predict gene regulatory networks: An integrative approach on time-series gene expression data  

Science Conference Proceedings (OSTI)

To unravel the controlling mechanisms of gene regulation, in this paper we present the application of sophisticated soft computing methods applied on an important problem from Bioinformatics-inferring gene regulatory networks (GRN) from time series gene ... Keywords: Automatic model building, Gene regulatory network, LARS, Reverse-engineering, Schizosaccharomyces pombe, Time series microarray data, Yeast

Zeke S. H. Chan; Ilkka Havukkala; Vishal Jain; Yingjie Hu; Nikola Kasabov

2008-06-01T23:59:59.000Z

190

A novel statistical time-series pattern based interval forecasting strategy for activity durations in workflow systems  

Science Conference Proceedings (OSTI)

Forecasting workflow activity durations is of great importance to support satisfactory QoS in workflow systems. Traditionally, a workflow system is often designed to facilitate the process automation in a specific application domain where activities ... Keywords: Activity duration, Interval forecasting, Statistical time series, Time-series patterns, Workflow system

Xiao Liu; Zhiwei Ni; Dong Yuan; Yuanchun Jiang; Zhangjun Wu; Jinjun Chen; Yun Yang

2011-03-01T23:59:59.000Z

191

A novel approach for estimation of optimal embedding parameters of nonlinear time series by structural learning of neural network  

Science Conference Proceedings (OSTI)

In this work a novel approach for estimation of embedding parameters for reconstruction of underlying dynamical system from the observed nonlinear time series by a feedforward neural network with structural learning is proposed. The proposed scheme of ... Keywords: Chaos, Embedding parameters, Embedding theorem, Neural network, Nonlinear time series, Strange attractor, Structural learning

Yusuke Manabe; Basabi Chakraborty

2007-03-01T23:59:59.000Z

192

Time-series models with many discrete alternatives. CONF-8309138--1  

SciTech Connect

In process and inventory control, time-series models occur with discrete alternatives in each time period (e.g., in an inventory process, the alternatives of no loss, or a block loss, in each period). With such a model, a fully Bayesian approach requires that the number of possible alternatives increase geometrically with time. In this paper, the problem of discarding the large set of alternatives which turn out to be (on the basis of the data) wildly unlikely is discussed from a fully Bayesian viewpoint. Costs of computation are compared with two sources of costs of truncating the model. Algorithms are given for the selection of the set of alternatives to retain. Simplified guidelines for practical situations are given.

Durst, M.

1983-08-01T23:59:59.000Z

193

Characterizing forest fire activity in Turkey by compound Poisson and time series models  

Science Conference Proceedings (OSTI)

Large forest fires are major disturbances that strongly influence the carbon cycling and vegetation dynamics of Turkish ecosystems. We suggest that compound Poisson model could provide suitable description for the total annual area burned by forest fires and for fire size distribution in Turkey. This paper also provides a time series model that reveals trends in annual number of fires and area burned in Turkey. We support this argument using forest fires occurred in Turkey between 1937 and 2009. We also find that the Poisson model simulates large fire occurrences well and the total burned area is modeled by a compound Poisson process.

Hatice Ö. Çekim; Cem Kad?lar; Gamze Özel

2013-01-01T23:59:59.000Z

194

Finiteness Analysis in Polynomial Time  

Science Conference Proceedings (OSTI)

To achieve the termination of offline partial evaluation, it is necessary to ensure that static variables assume boundedly many values during specialization. Various works have addressed the analysis of variable boundedness, also called finiteness analysis, ...

Chin Soon Lee

2002-09-01T23:59:59.000Z

195

Statistical Timing Analysis using Levelized Covariance Propagation  

Science Conference Proceedings (OSTI)

Variability in process parameters is making accurate timing analysis of nano-scale integrated circuits an extremely challenging task. In this paper, we propose a new algorithm for statistical timing analysis using Levelized Covariance Propagation (LCP). ...

Kunhyuk Kang; Bipul C. Paul; Kaushik Roy

2005-03-01T23:59:59.000Z

196

Multi-horizon solar radiation forecasting for Mediterranean locations using time series models  

E-Print Network (OSTI)

Considering the grid manager's point of view, needs in terms of prediction of intermittent energy like the photovoltaic resource can be distinguished according to the considered horizon: following days (d+1, d+2 and d+3), next day by hourly step (h+24), next hour (h+1) and next few minutes (m+5 e.g.). Through this work, we have identified methodologies using time series models for the prediction horizon of global radiation and photovoltaic power. What we present here is a comparison of different predictors developed and tested to propose a hierarchy. For horizons d+1 and h+1, without advanced ad hoc time series pre-processing (stationarity) we find it is not easy to differentiate between autoregressive moving average (ARMA) and multilayer perceptron (MLP). However we observed that using exogenous variables improves significantly the results for MLP . We have shown that the MLP were more adapted for horizons h+24 and m+5. In summary, our results are complementary and improve the existing prediction techniques ...

Voyant, Cyril; Muselli, Marc; Nivet, Marie Laure

2013-01-01T23:59:59.000Z

197

Shock timing on the National Ignition Facility: the first precision tuning series  

Science Conference Proceedings (OSTI)

Ignition implosions on the National Ignition Facility (NIF) [Lindl et al., Phys. Plasmas 11, 339 (2004)] are driven with a very carefully tailored sequence of four shock waves that must be timed to very high precision in order to keep the fuel on a low adiabat. The first series of precision tuning experiments on NIF have been performed. These experiments use optical diagnostics to directly measure the strength and timing of all four shocks inside the hohlraum-driven, cryogenic deuterium-filled capsule interior. The results of these experiments are presented demonstrating a significant decrease in the fuel adiabat over previously un-tuned implosions. The impact of the improved adiabat on fuel compression is confirmed in related deuterium-tritium (DT) layered capsule implosions by measurement of fuel areal density (rR), which show the highest fuel compression (rR {approx} 1.0 g/cm{sup 2}) measured to date.

Robey, H F; Celliers, P M; Kline, J L; Mackinnon, A J

2011-10-27T23:59:59.000Z

198

Probabilistic timing analysis on conventional cache designs  

Science Conference Proceedings (OSTI)

Probabilistic timing analysis (PTA), a promising alternative to traditional worst-case execution time (WCET) analyses, enables pairing time bounds (named probabilistic WCET or pWCET) with an exceedance probability (e.g., 10-16), resulting ...

Leonidas Kosmidis, Charlie Curtsinger, Eduardo Quiñones, Jaume Abella, Emery Berger, Francisco J. Cazorla

2013-03-01T23:59:59.000Z

199

Double Quantization of the Regressor Space for Long-Term Time Series Prediction: Method and Proof of Stability  

E-Print Network (OSTI)

on a stan- dard benchmark (Santa Fe A series) and on a real-world problem of electrical load forecasting an electrical consumption, the prob- lem may be to forecast hourly values for a whole day instead of predicting, a particular time series forecasting method based on Kohonen maps is described. This method has been

Paris-Sud XI, Université de

200

Time Series Photometry of Variable Stars in the Globular Cluster NGC 6397  

E-Print Network (OSTI)

Time series BVI photometry is presented for 16 short-period variables located in the central region of the globular cluster NGC 6397. The sample includes 9 newly detected variables. The light curve of cataclysmic variable CV6 shows variability with a period of 0.2356 days. We confirm an earlier reported period of 0.472 days for cataclysmic variable CV1. Phased light curves of both CVs exhibit sine-like light curves, with two minima occurring during each orbital cycle. The secondary component of CV1 has a low average density of 0.83 g/cm^{3} indicating that it cannot be a normal main sequence star. Variables among the cluster blue stragglers include a likely detached eclipsing binary with orbital period of 0.787 days, three new SX Phe stars (one of which has the extremely short period of 0.0215 days), and three low amplitude variables which are possible gamma Doradus variables.

Janusz Kaluzny; Ian B. Thompson

2002-10-29T23:59:59.000Z

Note: This page contains sample records for the topic "time series analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Point and Interval Forecasting of Spot Electricity Prices: Linear vs. Non-Linear Time Series Models  

E-Print Network (OSTI)

In this paper we assess the short-term forecasting power of different time series models in the electricity spot market. In particular we calibrate AR/ARX (”X” stands for exogenous/fundamental variable — system load in our study), AR/ARX-GARCH, TAR/TARX and Markov regime-switching models to California Power Exchange (CalPX) system spot prices. We then use them for out-ofsample point and interval forecasting in normal and extremely volatile periods preceding the market crash in winter 2000/2001. We find evidence that (i) non-linear, threshold regime-switching (TAR/TARX) models outperform their linear counterparts, both in point and interval forecasting, and that (ii) an additional GARCH component generally decreases point forecasting efficiency. Interestingly, the former result challenges a number of previously published studies on the failure of non-linear regime-switching models in forecasting.

Adam Misiorek; Stefan Trueck; Rafal Weron

2006-01-01T23:59:59.000Z

202

Forecasting of preprocessed daily solar radiation time series using neural networks  

SciTech Connect

In this paper, we present an application of Artificial Neural Networks (ANNs) in the renewable energy domain. We particularly look at the Multi-Layer Perceptron (MLP) network which has been the most used of ANNs architectures both in the renewable energy domain and in the time series forecasting. We have used a MLP and an ad hoc time series pre-processing to develop a methodology for the daily prediction of global solar radiation on a horizontal surface. First results are promising with nRMSE {proportional_to} 21% and RMSE {proportional_to} 3.59 MJ/m{sup 2}. The optimized MLP presents predictions similar to or even better than conventional and reference methods such as ARIMA techniques, Bayesian inference, Markov chains and k-Nearest-Neighbors. Moreover we found that the data pre-processing approach proposed can reduce significantly forecasting errors of about 6% compared to conventional prediction methods such as Markov chains or Bayesian inference. The simulator proposed has been obtained using 19 years of available data from the meteorological station of Ajaccio (Corsica Island, France, 41 55'N, 8 44'E, 4 m above mean sea level). The predicted whole methodology has been validated on a 1.175 kWc mono-Si PV power grid. Six prediction methods (ANN, clear sky model, combination..) allow to predict the best daily DC PV power production at horizon d + 1. The cumulated DC PV energy on a 6-months period shows a great agreement between simulated and measured data (R{sup 2} > 0.99 and nRMSE < 2%). (author)

Paoli, Christophe; Muselli, Marc; Nivet, Marie-Laure [University of Corsica, CNRS UMR SPE, Corte (France); Voyant, Cyril [University of Corsica, CNRS UMR SPE, Corte (France); Hospital of Castelluccio, Radiotherapy Unit, Ajaccio (France)

2010-12-15T23:59:59.000Z

203

Low-Frequency Modulation of Turbulent Diapycnal Mixing by Anticyclonic Eddies Inferred from the HOT Time Series  

Science Conference Proceedings (OSTI)

Profiles of potential density obtained from CTD measurements during the Hawaii Ocean Time series (HOT) program in the vicinity of the island of Oahu, Hawaii, are used to evaluate low-frequency variability of turbulent kinetic dissipation rates ...

Zhao Jing; Lixin Wu

2013-04-01T23:59:59.000Z

204

Time Series of Daily Averaged Cloud Fractions over Landfast First-Year Sea Ice from Multiple Data Sources  

Science Conference Proceedings (OSTI)

The time series of daily averaged cloud fractions (CFs) collected from different platforms—two Moderate Resolution Imaging Spectroradiometer (MODIS) instruments on Terra and Aqua satellites, the National Centers for Environmental Prediction (NCEP)...

Xin Jin; John M. Hanesiak; David G. Barber

2007-11-01T23:59:59.000Z

205

NIST Time Measurement and Analysis Service (TMAS)  

Science Conference Proceedings (OSTI)

... Analysis Service (TMAS) was designed to assist ... and calibrated time measurement system which includes ... easy-to-read instruction manual makes ...

2013-03-28T23:59:59.000Z

206

SERI photovoltaic venture analysis: long term demand estimation  

SciTech Connect

This report presents the results of a sectoral demand analysis for photovoltaic power systems used in the residential sector (single family homes), the service, commercial, and institutional sector (schools), and in the central power sector. The results described are the output of a set of three normative modeling activities carried out by the MIT Energy Laboratory. They are based on the assumption that the sectors, i.e., the utilities, schools, and homeowners, will switch to photovoltaic power systems when they are cost-effective relative to the competition, that is, centralized power generation using conventional fuels. In each case the assumption is made that the market for photovoltaic power systems will be a new market, not a retrofit market. As a result the annual (total for utilities) sales potential at a given price is estimated for each sector assuming a specific level of new installations in that sector, i.e., new single-family homes, new schools, and additions to utility stocks. As such, the results presented are maxima for a given application. While the methodology presented does not allow for any early acceptors, it does assume that once economic all new homeowners, school-builders, and utilities will buy to a fixed level.

Tabors, R.D.; Finger, S.; Burns, A.; Carpenter, P.; Dinwoodie, T.

1978-07-01T23:59:59.000Z

207

Development of periodic response factors for use with the radiant time series method  

SciTech Connect

Harris and McQuiston (1988) developed conduction transfer function (CTF) coefficients corresponding to 41 representative wall assemblies and 42 representative roof assemblies for use with the transfer function method (TFM). They also developed a grouping procedure that allows design engineers to determine the correct representative wall or roof assembly that most closely matches a specific wall or roof assembly. The CTF coefficients and the grouping procedure have been summarized in the ASHRAE Handbook--Fundamentals (1989, 1993, 1997) and the ASHRAE Cooling and Heating Load Calculation Manual, second edition. More recently, a new, simplified design cooling load calculation procedure, the radiant time series method (RTSM), has been developed. The RTSM uses periodic response factors to model transient conductive heat transfer. While not a true manual load calculation procedure, it is quite feasible to implement the RTSM in a spreadsheet. To be useful in such an environment, it would be desirable to have a pre-calculated set of periodic response factors. Accordingly, a set of periodic response factors has been calculated and is presented in this paper.

Spitler, J.D.; Fisher, D.E.

1999-07-01T23:59:59.000Z

208

Estimating damping effectiveness of BPA`s thyristor controlled series capacitor by applying time and frequency domain methods to measured response  

Science Conference Proceedings (OSTI)

Recently, a 500-kV thyristor controlled series capacitor (TCSC) was installed in the Bonneville Power Administration system in the northwestern US. Extensive field testing has included modulation experiments to determine the effect of the TCSC on low-frequency oscillations. This paper discusses modulation procedures, analysis methods, and results for estimating the damping effectiveness of the TCSC. Modulation methods include driving the TCSC with step and random noise, and analysis techniques include time (Prony analysis) and frequency-domain identification. Results indicate that: (1) the TCSC can have significant impact on system dynamics; and (2) under a very small feedback gain, the TCSC provides measurable added damping.

Trudnowski, D.J.; Donnelly, M.K.; Hauer, J.F. [Pacific Northwest Lab., Richland, WA (United States)

1996-05-01T23:59:59.000Z

209

Trend Estimation and Regression Analysis in Climatological Time Series: An Application of Structural Time Series Models and the Kalman Filter  

Science Conference Proceedings (OSTI)

The detection of trends in climatological data has become central to the discussion on climate change due to the enhanced greenhouse effect. To prove detection, a method is needed (i) to make inferences on significant rises or declines in trends, ...

H. Visser; J. Molenaar

1995-05-01T23:59:59.000Z

210

Moving Spectral Variance and Coherence Analysis and Some Applications on Long Air Temperature Series  

Science Conference Proceedings (OSTI)

Climatic records of a long time series (e.g., centuries) may be nonstationary. Thus, the stability of the variance (power) spectrum over a sequence of time periods is examined. Moreover, it is important to use different algorithms and tests in ...

C-D. Schönwiese

1987-12-01T23:59:59.000Z

211

Measurements of time average series resonance effect in capacitively coupled radio frequency discharge plasma  

Science Conference Proceedings (OSTI)

Self-excited plasma series resonance is observed in low pressure capacitvely coupled radio frequency discharges as high-frequency oscillations superimposed on the normal radio frequency current. This high-frequency contribution to the radio frequency current is generated by a series resonance between the capacitive sheath and the inductive and resistive bulk plasma. In this report, we present an experimental method to measure the plasma series resonance in a capacitively coupled radio frequency argon plasma by modifying the homogeneous discharge model. The homogeneous discharge model is modified by introducing a correction factor to the plasma resistance. Plasma parameters are also calculated by considering the plasma series resonances effect. Experimental measurements show that the self-excitation of the plasma series resonance, which arises in capacitive discharge due to the nonlinear interaction of plasma bulk and sheath, significantly enhances both the Ohmic and stochastic heating. The experimentally measured total dissipation, which is the sum of the Ohmic and stochastic heating, is found to increase significantly with decreasing pressure.

Bora, B.; Bhuyan, H.; Favre, M.; Wyndham, E.; Chuaqui, H. [Facultad de Fisica, Pontificia Universidad Catolica de Chile, Ave. Vicuna Mackenna 4860, Santiago 22 (Chile); Kakati, M. [Thermal Plasma Processed Materials Laboratory, Centre of Plasma Physics, Institute for Plasma Research, Sonapur 782 402, Assam (India)

2011-10-15T23:59:59.000Z

212

Shielding analysis of the TRUPACT-series casks for transportation of Hanford HLW  

SciTech Connect

In this paper, the authors propose the possibility of utilizing the TRUPACT-series casks for the transportation of high-level waste (HLW) from the Hanford reservation. The configurations of the TRUPACT series are a rectangular parallelepiped and a right circular cylinder, which are the TRUPACT-1 and -11, respectively. The TRUPACT series was designed as a type B contact-handled transuranic (CH-TRU) waste transportation system for use in Waste Isolation Pilot Plant-related operations and was subjected to type B container accident tests, which it successfully passed. Thus from a safety standpoint, the TRUPACT series is provided with double containment, impact limitation, and fire-retardant capabilities. However, the shielding analysis has shown the major modifications are required to allow for the transport of even a reasonable fraction of Hanford HLW.

Banjac, V.; Sanchez, P.E.; Hills, C.R.; Heger, A.S. (Univ. of New Mexico, Albuquerque, NM (United States))

1993-01-01T23:59:59.000Z

213

Essays on empirical time series modeling with causality and structural change  

E-Print Network (OSTI)

In this dissertation, three related issues of building empirical time series models for financial markets are investigated with respect to contemporaneous causality, dynamics, and structural change. In the first essay, nation-wide industry information transmission among stock returns of ten sectors in the U.S. economy is examined through the Directed Acyclical Graph (DAG) for contemporaneous causality and Bernanke decomposition for dynamics. The evidence shows that the information technology sector is the most root cause sector. Test results show that DAG from ex ante forecast innovations is consistent with the DAG fro m ex post fit innovations. This supports innovation accounting based on DAGs using ex post innovations. In the second essay, the contemporaneous/dynamic behaviors of real estate and stock returns are investigated. Selected macroeconomic variables are included in the model to explain recent movements of both returns. During 1971-2004, there was a single structural break in October 1980. A distinct difference in contemporaneous causal structure before and after the break is found. DAG results show that REITs take the role of a causal parent after the break. Innovation accounting shows significantly positive responses of real estate returns due to an initial shock in default risk but insignificant responses of stock returns. Also, a shock in short run interest rates affects real estate returns negatively with significance but does not affect stock returns. In the third essay, a structural change in the volatility of five Asian and U.S. stock markets is examined during the post-liberalization period (1990-2005) in the Asian financial markets, using the Sup LM test. Four Asian financial markets (Hong Kong, Japan, Korea, and Singapore) experienced structural changes. However, test results do not support the existence of structural change in volatility for Thailand and U.S. Also, results show that the Generalized Autoregressive Conditional Heteroskedasticity (GARCH) persistent coefficient increases, but the Autoregressive Conditional heteroskedasticity (ARCH) impact coefficient, implying short run adjustment, decreases in Asian markets. In conclusion, when the econometric model is set up, it is necessary to consider contemporaneous causality and possible structural breaks (changes). The dissertation emphasizes causal inference and structural consistency in econometric modeling. It highlights their importance in discovering contemporaneous/dynamic causal relationships among variables. These characteristics will likely be helpful in generating accurate forecasts.

Kim, Jin Woong

2006-08-01T23:59:59.000Z

214

Fractal analysis of time varying data  

DOE Patents (OSTI)

Characteristics of time varying data, such as an electrical signal, are analyzed by converting the data from a temporal domain into a spatial domain pattern. Fractal analysis is performed on the spatial domain pattern, thereby producing a fractal dimension D.sub.F. The fractal dimension indicates the regularity of the time varying data.

Vo-Dinh, Tuan (Knoxville, TN); Sadana, Ajit (Oxford, MS)

2002-01-01T23:59:59.000Z

215

FAST: Frequency-aware static timing analysis  

Science Conference Proceedings (OSTI)

Energy is a valuable resource in embedded systems as the lifetime of many such systems is constrained by their battery capacity. Recent advances in processor design have added support for dynamic frequency/voltage scaling (DVS) for saving energy. Recent ... Keywords: Real-time systems, dynamic voltage scaling, scheduling, worst-case execution time analysis

Kiran Seth; Aravindh Anantaraman; Frank Mueller; Eric Rotenberg

2006-02-01T23:59:59.000Z

216

Abstract--This paper analyzes a distribution system load time series through autocorrelation coefficient, power spectral density,  

E-Print Network (OSTI)

models [7], [8]. The load model developed in [7] provides different 24-hour load profiles for different seasons. The 24-hour load profile is obtained by a weighted sum of peak loads from different types1 Abstract--This paper analyzes a distribution system load time series through autocorrelation

Bak-Jensen, Birgitte

217

The estimation techniques of the time series correlations in nuclear reactor calculations by the Monte Carlo method using multiprocessor computers  

Science Conference Proceedings (OSTI)

The algorithms of estimation of the time series correlation functions in nuclear reactor calculations using the Monte Carlo method are described. Correlation functions are used for the estimation of biases, for calculations of variance taking into account the correlations between neutron generations, and for choosing skipped generations.

Kalugin, M. A.; Oleynik, D. S.; Sukhino-Khomenko, E. A., E-mail: sukhino-khomenko@adis.vver.kiae.ru [National Research Centre Kurchatov Institute (Russian Federation)

2012-12-15T23:59:59.000Z

218

HYBRID GREY RELATIONAL ARTIFICIAL NEURAL NETWORK AND AUTO REGRESSIVE INTEGRATED MOVING AVERAGE MODEL FOR FORECASTING TIME-SERIES DATA  

Science Conference Proceedings (OSTI)

The aim of this study is to develop a new hybrid model by combining a linear and nonlinear model for forecasting time-series data. The proposed model (GRANN_ARIMA) integrates nonlinear grey relational artificial neural network (GRANN) and a linear autoregressive ...

Roselina Sallehuddin; Siti Mariyam Hj. Shamsuddin

2009-05-01T23:59:59.000Z

219

A New Series of Rate Decline Relations Based on the Diagnosis of Rate-Time Data  

E-Print Network (OSTI)

The so-called "Arps" rate decline relations are by far the most widely used tool for assessing oil and gas reserves from rate performance. These relations (i.e., the exponential and hyperbolic decline relations) are empirical where the starting point for their derivation is given by the definitions of the "loss ratio" and the "derivative of the loss ratio", where the "loss ratio" is the ratio of rate data to derivative of rate data, and the "derivative of the loss ratio" is the "b-parameter" as defined by Arps [1945]. The primary goal of this work is the interpretation of the b-parameter continuously over time and thus the better understanding of its character. As is shown below we propose "monotonically decreasing functional forms" for the characterization of the b-parameter, in addition to the exponential and hyperbolic rate decline relations, where the b-parameter is assumed to be zero and constant, respectively. The proposed equations are as follow: b(t)=constant (Arps' hyperbolic rate-decline relation), []tbbtb10exp)(-bt= (exponential function), (power-law function), 10)(btbtb=)/(1)(10tbbtb+= (rational function). The corresponding rate decline relation for each case is obtained by solving the differential equation associated with the selected functional for the b-parameter. The next step of this procedure is to test and validate each of the rate decline relations by applying them to various numerical simulation cases (for gas), as well as for field data cases obtained from tight/shale gas reservoirs. Our results indicate that b-parameter is never constant but it changes continuously with time. The ultimate objective of this work is to establish each model as a potential analysis/diagnostic relation. Most of the proposed models yield more realistic estimations of gas reserves in comparison to the traditional Arps' rate decline relations (i.e., the hyperbolic decline) where the reserves estimates are inconsistent and over-estimated. As an example, the rational b-parameter model seems to be the most accurate model in terms of representing the character of rate data; and therefore, should yield more realistic reserves estimates. Illustrative examples are provided for better understanding of each b-parameter rate decline model. The proposed family of rate decline relations was based on the character of the b-parameter computed from the rate-time data and they can be applied to a wide range of data sets, as dictated by the character of rate data.

Boulis, Anastasios

2009-08-01T23:59:59.000Z

220

Making Hand Geometry Verification System More Accurate Using Time Series Representation with R-K Band Learning  

E-Print Network (OSTI)

At present, applications of biometrics are rapidly increasing due to inconveniences in using traditional passwords and physical keys. Hand geometry, one of the most well-known biometrics, is implemented in many verification systems with various feature extraction methods. In recent work, a hand geometry verification system using time series conversion techniques and Dynamic Time Warping (DTW) distance measure with Sakoe-Chiba band has been proposed. This system demonstrates many advantages, especially ease of implementation and small storage space requirement using time series representation. In this paper, we propose a novel hand geometry verification system that exploits DTW distance measure and R-K band learning to further improve the system performance. Finally, our evaluation reveals that our proposed system outperforms the current system by a wide margin, in terms of False Acceptance Rate (FAR), False Rejection Rate (FRR), and Total Success Rate (TSR) at Equal Error Rate (EER).

Niennattrakul, Vit

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "time series analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

RELATING TIME SERIES IN DATA TO SPATIAL VARIATION IN THE RESERVOIR USING WAVELETS  

E-Print Network (OSTI)

regression in the wavelet domains of both time and space. Wavelet transforms have the ability to reveal important events in time signals or spatial images. Thus we transformed both the model space and the time a subset of wavelet coefficients from each of the transformed domains. These subsets were used subsequently

222

Bayesian and non-Bayesian mixture paradigms for clustering multivariate data : time series synchrony tests.  

E-Print Network (OSTI)

??During the last few years, the use of the finite mixture model has increased in the study of heterogeneous populations including its use in time… (more)

Kim, Susan

2011-01-01T23:59:59.000Z

223

The spherical hidden markov self organizing map for learning time series data  

Science Conference Proceedings (OSTI)

In modern society, the more complex information and technology become, the more important data analysis become. In particular, a data, which has a variety of elements, is complex, and it is extremely difficult to estimate the state which generates data ...

Gen Niina; Hiroshi Dozono

2012-09-01T23:59:59.000Z

224

Reconstructing Streamflow Time Series in Central Arizona Using Monthly Precipitation and Tree Ring Records  

Science Conference Proceedings (OSTI)

An adaptive, three-way interpolation model based on multiple discriminant analysis, multiple linear regression, and normal ratio methods was used to reconstruct streamflows for three gauges in central Arizona for the period from 1580, using ...

Kenneth C. Young

1994-03-01T23:59:59.000Z

225

Deterministic regression model and visual basic code for optimal forecasting of financial time series  

Science Conference Proceedings (OSTI)

A new, non-statistical method is presented for analysis of the past history and current evolution of economic and financial processes. The method is based on the sliding model approach using linear differential or difference equations applied to discrete ... Keywords: Optimal forecasting in finance, Sliding deterministic regression models

Alejandro Balbás; Beatriz Balbás; Inna Galperin; Efim Galperin

2008-11-01T23:59:59.000Z

226

The ups and downs of the renormalization group applied to financial time series  

E-Print Network (OSTI)

Starting from inhomogeneous time scaling and linear decorrelation between successive price returns, Baldovin and Stella recently devised a model describing the time evolution of a financial index. We first make it fully explicit by using Student distributions instead of power law-truncated Levy distributions; we also show that the analytic tractability of the model extends to the larger class of symmetric generalized hyperbolic distributions and provide a full computation of their multivariate characteristic functions. The Baldovin and Stella model, while mimicking well volatility relaxation phenomena such as the Omori law, fails to reproduce other stylized facts such as the leverage effect or some time reversal asymmetries. We discuss how to modify the dynamics of this process in order to reproduce real data more accurately.

Challet, Damien

2008-01-01T23:59:59.000Z

227

Fluorescence spectrum analysis using Fourier series modeling for Fluorescein solution in Ethanol  

E-Print Network (OSTI)

We have measured the fluorescence spectrum for fluorescein solution in ethanol with concentration 1 {\\times} 10-3 mol/liter at different temperatures from room temperature to freezing point of solvent, (T = 153, 183, 223, 253, and 303 K) using liquid nitrogen. Table curve 2D version 5.01 program has been used to determine the fitting curve and fitting equation for each fluorescence spectrum. Fourier series (3 {\\times} 2) was the most suitable fitting equation for all spectra. Theoretical fluorescence spectrum of fluorescein in ethanol at T = 183K was calculated and compared with experimental fluorescence spectrum at the same temperature. There is a good similarity between them.

Hadi, Mahasin F

2011-01-01T23:59:59.000Z

228

Creating Synthetic Wind Speed Time Series for 15 New Zealand Wind Farms  

Science Conference Proceedings (OSTI)

Wind data at time scales from 10 min to 1 h are an important input for modeling the performance of wind farms and their impact on many countries’ national electricity systems. Planners need long-term realistic (i.e., meteorologically spatially and ...

Richard Turner; Xiaogu Zheng; Neil Gordon; Michael Uddstrom; Greg Pearson; Rilke de Vos; Stuart Moore

2011-12-01T23:59:59.000Z

229

A novel HMM-based clustering algorithm for the analysis of gene expression time-course data  

Science Conference Proceedings (OSTI)

A novel hidden Markov model (HMM) and clustering algorithm for the analysis of gene expression time-course data is proposed. The proposed model, called the profile-HMM, is specifically designed to explicitly take into account the dynamic nature of temporal ... Keywords: Clustering, Gene expression time-course data, Hidden Markov models, Temporal dependences, Time-series analysis

Yujing Zeng; Javier Garcia-Frias

2006-05-01T23:59:59.000Z

230

Spatial and temporal variations in streambed hydraulic conductivity quantified with time-series thermal methods  

E-Print Network (OSTI)

conductivity Streambed seepage Heat as a tracer Surface water­ground water interaction Pajaro River s u m m a r was 62 m3 s�1 , with most of the loss occurring along the lower part of the experimental reach. Point and with time, with greater seepage occurring along the lower part of the reach and during the summer and fall

Fisher, Andrew

231

An Approach to Generating Summaries of Time Series Data in the Gas Turbine Domain Jin Yu and Jim Hunter and Ehud Reiter and Somayajulu Sripada  

E-Print Network (OSTI)

An Approach to Generating Summaries of Time Series Data in the Gas Turbine Domain Jin Yu and Jim an approach to generating summaries of time series data in the gas turbine domain using AI techniques. Through), both domain knowledge from experts about how to solve problems in the gas turbine and information about

Sripada, Yaji

232

A hybrid model of self-organizing maps (SOM) and least square support vector machine (LSSVM) for time-series forecasting  

Science Conference Proceedings (OSTI)

Support vector machine is a new tool from Artificial Intelligence (AI) field has been successfully applied for a wide variety of problem especially in time-series forecasting. In this paper, least square support vector machine (LSSVM) is an improved ... Keywords: Forecasting, Least square support vector machine, Self-organizing maps, Time series

Shuhaida Ismail; Ani Shabri; Ruhaidah Samsudin

2011-08-01T23:59:59.000Z

233

Investigation of flood inundation on playas within the Zone of Chotts, using a time-series of AVHRR  

E-Print Network (OSTI)

Our principal objectives were to examine the application of a time-series of advanced very high-resolution radiometer (AVHRR) data to contrast the inundation regimes of a range of large, climatically sensitive playas in the Zone of Chotts regions of southern Tunisia and northeastern Algeria. In doing so, we aimed to: (i) refine methods for monitoring monthly changes in lake areas and seasonal water balance, building from previous studies; (ii) explore the extent to which simple hydrological models can be developed for individual playas; and (iii) compare the hydrologic response of individual playas to seasonal rainfall inputs within North Africa. Here, analyses were conducted using two time-series of AVHRR data (c.2 images per month) for southern Tunisia and northern Algeria (1983 -- 1993 and 1987 -- 1999), with coincident meteorological data. These data were used to detect and monitor inundation events within specific playa catchments in the Zone of Chotts region. Key analyses methods included: (a) the use of reflectance profiles for each time-series to infer inundation processes for each playa and (b) the extraction of lake areas from sequential image data to determine the extent of inundation with an accuracy of between 2% and 6% (depending on lake size). For those playas which were found to inundate as a direct result of precipitation records of lake area change were used to drive simple hydrological models to allowed mean monthly precipitation ( P), monthly effective precipitation (P-E), and monthly evaporation (E) to be estimated. The techniques presented here make an important contribution to our understanding of the hydrology of playas in this region. Results for individual playas also suggest that these techniques may be useful in highlighting the dynamic respo...

Bryant Rainey Department; R. G. Bryant; M. P. Rainey

2002-01-01T23:59:59.000Z

234

TIME SERIES MODELING  

Science Conference Proceedings (OSTI)

does involve some knowledge of hydrodynamics (especially when decid- ing the formula for ... 109–120. Munk, W.H., and Cartwright, D.E., 1966. Tidal spectroscopy and pre- diction. ..... Principles of Forecasting: A Handbook for. Researchers ...

235

Time series association learning  

DOE Patents (OSTI)

This invention generally relates to machine-based speech and speaker recognition and, more particularly, to machine-based speech recognition using a learned relationship between acoustic and articulatory parameters. An acoustic input is recognized from inferred articulatory movements output by a learned relationship between training acoustic waveforms and articulatory movements. The inferred movements are compared with template patterns prepared from training movements when the relationship was learned to regenerate an acoustic recognition. In a preferred embodiment, the acoustic-articulatory relationships are learned by a neural network. Subsequent input acoustic patterns then generate the inferred articulatory movements for use with the templates. Articulatory movement data may be supplemented with characteristic acoustic information, e.g. relative power and high frequency data, to improve template recognition. 7 figs.

Papcun, G.J.

1990-01-31T23:59:59.000Z

236

Time series association learning  

DOE Patents (OSTI)

An acoustic input is recognized from inferred articulatory movements output by a learned relationship between training acoustic waveforms and articulatory movements. The inferred movements are compared with template patterns prepared from training movements when the relationship was learned to regenerate an acoustic recognition. In a preferred embodiment, the acoustic articulatory relationships are learned by a neural network. Subsequent input acoustic patterns then generate the inferred articulatory movements for use with the templates. Articulatory movement data may be supplemented with characteristic acoustic information, e.g. relative power and high frequency data, to improve template recognition.

Papcun, George J. (Santa Fe, NM)

1995-01-01T23:59:59.000Z

237

VisIO: enabling interactive visualization of ultra-scale, time-series data via high-bandwidth distributed I/O systems  

Science Conference Proceedings (OSTI)

Petascale simulations compute at resolutions ranging into billions of cells and write terabytes of data for visualization and analysis. Interactive visuaUzation of this time series is a desired step before starting a new run. The I/O subsystem and associated network often are a significant impediment to interactive visualization of time-varying data; as they are not configured or provisioned to provide necessary I/O read rates. In this paper, we propose a new I/O library for visualization applications: VisIO. Visualization applications commonly use N-to-N reads within their parallel enabled readers which provides an incentive for a shared-nothing approach to I/O, similar to other data-intensive approaches such as Hadoop. However, unlike other data-intensive applications, visualization requires: (1) interactive performance for large data volumes, (2) compatibility with MPI and POSIX file system semantics for compatibility with existing infrastructure, and (3) use of existing file formats and their stipulated data partitioning rules. VisIO, provides a mechanism for using a non-POSIX distributed file system to provide linear scaling of 110 bandwidth. In addition, we introduce a novel scheduling algorithm that helps to co-locate visualization processes on nodes with the requested data. Testing using VisIO integrated into Para View was conducted using the Hadoop Distributed File System (HDFS) on TACC's Longhorn cluster. A representative dataset, VPIC, across 128 nodes showed a 64.4% read performance improvement compared to the provided Lustre installation. Also tested, was a dataset representing a global ocean salinity simulation that showed a 51.4% improvement in read performance over Lustre when using our VisIO system. VisIO, provides powerful high-performance I/O services to visualization applications, allowing for interactive performance with ultra-scale, time-series data.

Mitchell, Christopher J [Los Alamos National Laboratory; Ahrens, James P [Los Alamos National Laboratory; Wang, Jun [UCF

2010-10-15T23:59:59.000Z

238

EnergyPlus Run Time Analysis  

SciTech Connect

EnergyPlus is a new generation building performance simulation program offering many new modeling capabilities and more accurate performance calculations integrating building components in sub-hourly time steps. However, EnergyPlus runs much slower than the current generation simulation programs. This has become a major barrier to its widespread adoption by the industry. This paper analyzed EnergyPlus run time from comprehensive perspectives to identify key issues and challenges of speeding up EnergyPlus: studying the historical trends of EnergyPlus run time based on the advancement of computers and code improvements to EnergyPlus, comparing EnergyPlus with DOE-2 to understand and quantify the run time differences, identifying key simulation settings and model features that have significant impacts on run time, and performing code profiling to identify which EnergyPlus subroutines consume the most amount of run time. This paper provides recommendations to improve EnergyPlus run time from the modeler?s perspective and adequate computing platforms. Suggestions of software code and architecture changes to improve EnergyPlus run time based on the code profiling results are also discussed.

Hong, Tianzhen; Buhl, Fred; Haves, Philip

2008-09-20T23:59:59.000Z

239

Beyond long memory in heart rate variability: An approach based on fractionally integrated autoregressive moving average time series models with conditional heteroscedasticity  

Science Conference Proceedings (OSTI)

Heart Rate Variability (HRV) series exhibit long memory and time-varying conditional variance. This work considers the Fractionally Integrated AutoRegressive Moving Average (ARFIMA) models with Generalized AutoRegressive Conditional Heteroscedastic (GARCH) errors. ARFIMA-GARCH models may be used to capture and remove long memory and estimate the conditional volatility in 24 h HRV recordings. The ARFIMA-GARCH approach is applied to fifteen long term HRV series available at Physionet

2013-01-01T23:59:59.000Z

240

Modeling, simulation, and analysis of series hybrid electric vehicles for fuel economy improvement.  

E-Print Network (OSTI)

??A hybrid electric vehicle (HEV) combines a conventional internal combustion engine (ICE) propulsion system with an electric propulsion system. In a series HEV, an electric… (more)

Khandaker, Masuma

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "time series analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

Capabilities Series  

NLE Websites -- All DOE Office Websites (Extended Search)

Capabilities Series Capabilities Series www.emsl.pnl.gov Scientific Innovation Through Integration WHY USE EMSL'S MOLECULAR SCIENCE COMPUTING CAPABILITY? Ì Molecular Science Computing provides users with an integrated suite of computing hardware and software capabilities optimized for achieving the fastest time-to-solution for complex systems-level environmental molecular science simulations. Ì Expert staff members have extensive knowledge and experience in high-performance computing, as well as the operations, domain expertise, and scientific knowledge to support EMSL's users. Ì Substantial integration of transformational high-end computing simulations with experimental resources at EMSL provides a unique multidisciplinary research environment. The Molecular Science Computing capability at EMSL

242

Method for real-time analysis of biosensor data  

Disclosure Number 200501550 Technology Summary This invention is a method for real-time rapid analysis of data that is collected by biosensors or ...

243

Using remote-sensing data to determine equilibrium-line altitude and mass-balance time series: validation on three French glaciers,  

E-Print Network (OSTI)

Using remote-sensing data to determine equilibrium-line altitude and mass-balance time series to calculate glacier mass balance using remote-sensing data. Snowline measurements from remotely sensed images by ground measurements and remote sensing are compared and show excellent correlation (r2 > 0.89), both

Rabatel, Antoine

244

Adaptive time-frequency analysis based on autoregressive modeling  

Science Conference Proceedings (OSTI)

A new adaptive method for discrete time-frequency analysis based on autoregressive (AR) modeling is introduced. The performance of AR modeling often depends upon a good selection of the model order. The predictive least squares (PLS) principle of Rissanen ... Keywords: Adaptive filters, Autoregressive modeling, Least squares methods, Model order, Time-frequency analysis

Antonio H. Costa; Stephan Hengstler

2011-04-01T23:59:59.000Z

245

Pulmonary crackle detection using time-frequency and time-scale analysis  

Science Conference Proceedings (OSTI)

Pulmonary crackles are used as indicators for the diagnosis of different pulmonary disorders in auscultation. Crackles are very common adventitious transient sounds. From the characteristics of crackles such as timing and number of occurrences, the type ... Keywords: Crackle detection, Denoising, Dual-tree complex wavelet transform, Ensemble methods, Lung sounds, Support vector machines, Time-frequency and time-scale analysis

Gorkem Serbes; C. Okan Sakar; Yasemin P. Kahya; Nizamettin Aydin

2013-05-01T23:59:59.000Z

246

Analysis of Wind Power and Load Data at Multiple Time Scales  

NLE Websites -- All DOE Office Websites (Extended Search)

Analysis of Wind Power and Load Data at Multiple Time Scales Analysis of Wind Power and Load Data at Multiple Time Scales Title Analysis of Wind Power and Load Data at Multiple Time Scales Publication Type Report LBNL Report Number LBNL-4147E Year of Publication 2010 Authors Coughlin, Katie, and Joseph H. Eto Date Published 12/2010 Publisher LBNL City Berkeley Keywords renewable generation integration Abstract In this study we develop and apply new methods of data analysis for high resolution wind power and system load time series, to improve our understanding of how to characterize highly variable wind power output and the correlations between wind power and load. These methods are applied to wind and load data from the ERCOT region, and wind power output from the PJM and NYISO areas. We use a wavelet transform to apply mathematically well-defined operations of smoothing and differencing to the time series data. This approach produces a set of time series of the changes in wind power and load (or "deltas"), over a range of times scales from a few seconds to approximately one hour. A number of statistical measures of these time series are calculated. We present sample distributions, and devise a method for fitting the empirical distribution shape in the tails. We also evaluate the degree of serial correlation, and linear correlation between wind and load. Our examination of the data shows clearly that the deltas do not follow a Gaussian shape; the distribution is exponential near the center and appears to follow a power law for larger fluctuations. Gaussian distributions are frequently used in modeling studies. These are likely to over-estimate the probability of small to moderate deviations. This in turn may lead to an over-estimation of the additional reserve requirement (hence the cost) for high penetration of wind. The Gaussian assumption provides no meaningful information about the real likelihood of large fluctuations. The possibility of a power law distribution is interesting because it suggests that the distribution shape for of wind power fluctuations may become independent of system size for large enough systems.

247

EMCS and time-series energy data analysis in a large government office building  

E-Print Network (OSTI)

and Renewable Energy, Office of Building Technology, State andand Renewable Energy, Office of Building Technology, State and

Piette, Mary Ann; Kinney, Satkartar; Friedman, Hannah

2001-01-01T23:59:59.000Z

248

Nonlinear time series analysis on the offer behaviors observed in an electricity market  

Science Conference Proceedings (OSTI)

In electricity markets where supply and demand drives the price for the purchase and sale of electricity, generating firms change capacity for various reasons including load level, policy, and varying market conditions. These types of fluctuating production ... Keywords: Chaos, Hurst exponent, Locational marginal price (LMP), Nonlinear dynamics, Offer behavior

HyungSeon Oh; Robert J. Thomas

2010-05-01T23:59:59.000Z

249

Analysis on the KOSPI200 option from the time-series and cross- sectional perspectives  

E-Print Network (OSTI)

The Korean derivatives market is one of the most active markets in the world. The KOSPI200 options accounted for 43.4% of the global trading volume in equity index futures and options in 2011. It also accounted for 93.5% ...

Jung, Jaewook

2013-01-01T23:59:59.000Z

250

A Least Squares Method for Spectral Analysis of Space-Time Series  

Science Conference Proceedings (OSTI)

Common methods in spectral analyses of satellite data are the discrete Fourier transform (DFT) type of approaches, which generally require regular sampling and uniform spacing. These conditions sometimes cannot be met in the satellite ...

Dong L. Wu; Paul B. Hays; Wilbert R. Skinner

1995-10-01T23:59:59.000Z

251

Time Series Analysis of Soil Freeze and Thaw Processes in Indiana  

Science Conference Proceedings (OSTI)

Seasonal cycles of freezing and thawing influence surface energy and water cycle fluxes. Specifically, soil frost can lead to the reduction in infiltration and an increase in runoff response, resulting in a greater potential for soil erosion. An ...

Tushar Sinha; Keith A. Cherkauer

2008-10-01T23:59:59.000Z

252

Time series analysis of regional climate model performance Jason P. Evans  

E-Print Network (OSTI)

displaying particular strengths and weaknesses of its own. RegCM2 could be improved by including an ice phase in the cloud microphysics parameterization. MM5/BATS and MM5/SHEELS need revision of the formulation and verification of parameterizations involved in coupling the land surface and atmospheric components

Evans, Jason

253

An Analysis of the INFFC Cotton Futures Time Series: Lower Bounds and Testbed Design Recommendations  

E-Print Network (OSTI)

forecasting ranging from option pricing (Hutchinson et al. [1994]), corporate bond rating (Moody and Utans. Consequently, financial markets forecasting models consider incomplete information, while factors not included]). A serious drawback in comparing different financial markets forecasting techniques is a lack of standard

Obradovic, Zoran

254

Software Selection for Reliability Optimization using Time Series Analysis and Machine Learning  

E-Print Network (OSTI)

Difference and ACF of “ACF and PACF of residuals of “4: Difference of “Data1”. The ACF (Autocorrelation Function)

Mu, Yali

2013-01-01T23:59:59.000Z

255

Time Series Analysis of Particle Tracking Data for Molecular Motion on the Cell Membrane  

E-Print Network (OSTI)

autocorrelation function (ACF) ? p as a function of the lagthe 95% con?- dence interval for the ACF values being zero.we show a plot of the ACF for the data from experiment 12 in

Ying, Wenxia; Huerta, Gabriel; Steinberg, Stanly; Zúñiga, Martha

2009-01-01T23:59:59.000Z

256

Forecasting the S&P 500 index using time series analysis and simulation methods  

E-Print Network (OSTI)

The S&P 500 represents a diverse pool of securities in addition to Large Caps. A range of audiences are interested in the S&P 500 forecasts including investors, speculators, economists, government and researchers. The ...

Chan, Eric Glenn

2009-01-01T23:59:59.000Z

257

EMCS and time-series energy data analysis in a large government office building  

E-Print Network (OSTI)

percent. There are four cooling tower cells, with a variableretrofit will allow the cooling towers to be used to coolhandling units and one cooling tower. The building achieved

Piette, Mary Ann; Kinney, Satkartar; Friedman, Hannah

2001-01-01T23:59:59.000Z

258

Does telecommuting reduce vehicle-miles traveled? An aggregate time series analysis for the US  

E-Print Network (OSTI)

of Telecommuting. US DOE Office of Policy, Planning, andProgram Evaluation, Report No. DOE/PO-0026, Washington, DC.Holtzclaw, John (undated): “Does a mile in a car equal a

Choo, Sangho; Mokhtarian, Patricia L; Salomon, Ilan

2005-01-01T23:59:59.000Z

259

Analysis of Wind Power and Load Data at Multiple Time Scales  

SciTech Connect

In this study we develop and apply new methods of data analysis for high resolution wind power and system load time series, to improve our understanding of how to characterize highly variable wind power output and the correlations between wind power and load. These methods are applied to wind and load data from the ERCOT region, and wind power output from the PJM and NYISO areas. We use a wavelet transform to apply mathematically well-defined operations of smoothing and differencing to the time series data. This approach produces a set of time series of the changes in wind power and load (or ?deltas?), over a range of times scales from a few seconds to approximately one hour. A number of statistical measures of these time series are calculated. We present sample distributions, and devise a method for fitting the empirical distribution shape in the tails. We also evaluate the degree of serial correlation, and linear correlation between wind and load. Our examination of the data shows clearly that the deltas do not follow a Gaussian shape; the distribution is exponential near the center and appears to follow a power law for larger fluctuations. Gaussian distributions are frequently used in modeling studies. These are likely to over-estimate the probability of small to moderate deviations. This in turn may lead to an over-estimation of the additional reserve requirement (hence the cost) for high penetration of wind. The Gaussian assumption provides no meaningful information about the real likelihood of large fluctuations. The possibility of a power law distribution is interesting because it suggests that the distribution shape for of wind power fluctuations may become independent of system size for large enough systems.

Coughlin, Katie; Eto, J.H.

2010-12-20T23:59:59.000Z

260

Microwave Plasma Monitoring System For Real-Time Elemental Analysis  

NLE Websites -- All DOE Office Websites (Extended Search)

Microwave Plasma Monitoring System For Real-Time Elemental Analysis Microwave Plasma Monitoring System For Real-Time Elemental Analysis Microwave Plasma Monitoring System For Real-Time Elemental Analysis The invention apparatus can also be used to monitor for the presence of halogens, sulfur and silicon. Available for thumbnail of Feynman Center (505) 665-9090 Email Microwave Plasma Monitoring System For Real-Time Elemental Analysis There has been invented a process for analyzing ambient air in a microwave induced plasma without use of an additional carrier gas. There has also been invented an apparatus for analyzing ambient air, other sample gas, or nebulized and desolvated liquids wherein a novel arrangement of plasma gas and sample gas conduits is used to enhance dependability of the plasma. This apparatus embodiment of the invention has a concentric arrangement of

Note: This page contains sample records for the topic "time series analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

On the signal bounding problem in timing analysis  

Science Conference Proceedings (OSTI)

In this paper, we study the propagation of slew dependent bounding signals and the corresponding slew problem in static timing analysis. The selection of slew from the latest arriving signal, a commonly used strategy, may violate the rule of monotonic ...

Jin Fuw Lee; D. L. Ostapko; Jeffery Soreff; C. K. Wong

2001-11-01T23:59:59.000Z

262

Modeling and Analysis of Time-Varying Graphs  

E-Print Network (OSTI)

We live in a world increasingly dominated by networks -- communications, social, information, biological etc. A central attribute of many of these networks is that they are dynamic, that is, they exhibit structural changes over time. While the practice of dynamic networks has proliferated, we lag behind in the fundamental, mathematical understanding of network dynamism. Existing research on time-varying graphs ranges from preliminary algorithmic studies (e.g., Ferreira's work on evolving graphs) to analysis of specific properties such as flooding time in dynamic random graphs. A popular model for studying dynamic graphs is a sequence of graphs arranged by increasing snapshots of time. In this paper, we study the fundamental property of reachability in a time-varying graph over time and characterize the latency with respect to two metrics, namely store-or-advance latency and cut-through latency. Instead of expected value analysis, we concentrate on characterizing the exact probability distribution of routing l...

Basu, Prithwish; Ramanathan, Ram; Johnson, Matthew P

2010-01-01T23:59:59.000Z

263

Structural and Inhibition Analysis Reveals the Mechanism of Selectivity of a Series of Aggrecanase Inhibitors  

DOE Green Energy (OSTI)

Several inhibitors of a series of cis-1(S)2(R)-amino-2-indanol-based compounds were reported to be selective for the aggrecanases, ADAMTS-4 and -5 over other metalloproteases. To understand the nature of this selectivity for aggrecanases, the inhibitors, along with the broad spectrum metalloprotease inhibitor marimastat, were independently bound to the catalytic domain of ADAMTS-5, and the corresponding crystal structures were determined. By comparing the structures, it was determined that the specificity of the relative inhibitors for ADAMTS-5 was not driven by a specific interaction, such as zinc chelation, hydrogen bonding, or charge interactions, but rather by subtle and indirect factors, such as water bridging, ring rigidity, pocket size, and shape, as well as protein conformation flexibility.

Tortorella, Micky D.; Tomasselli, Alfredo G.; Mathis, Karl J.; Schnute, Mark E.; Woodard, Scott S.; Munie, Grace; Williams, Jennifer M.; Caspers, Nicole; Wittwer, Arthur J.; Malfait, Anne-Marie; Shieh, Huey-Sheng; Pfizer

2009-10-07T23:59:59.000Z

264

Coalbed-methane pilots - timing, design, and analysis  

Science Conference Proceedings (OSTI)

Four distinct sequential phases form a recommended process for coalbed-methane (CBM)-prospect assessment: initial screening reconnaissance, pilot testing, and final appraisal. Stepping through these four phases provides a program of progressively ramping work and cost, while creating a series of discrete decision points at which analysis of results and risks can be assessed. While discussing each of these phases in some degree, this paper focuses on the third, the critically important pilot-testing phase. This paper contains roughly 30 specific recommendations and the fundamental rationale behind each recommendation to help ensure that a CBM pilot will fulfill its primary objectives of (1) demonstrating whether the subject coal reservoir will desorb and produce consequential gas and (2) gathering the data critical to evaluate and risk the prospect at the next-often most critical-decision point.

Roadifer, R.D.; Moore, T.R.

2009-10-15T23:59:59.000Z

265

DETECTING VARIABILITY IN MASSIVE ASTRONOMICAL TIME-SERIES DATA. II. VARIABLE CANDIDATES IN THE NORTHERN SKY VARIABILITY SURVEY  

SciTech Connect

We present variability analysis of data from the Northern Sky Variability Survey (NSVS). Using the clustering method, which defines variable candidates as outliers from large clusters, we cluster 16,189,040 light curves having data points at more than 15 epochs as variable and non-variable candidates in 638 NSVS fields. Variable candidates are selected depending on how strongly they are separated from the largest cluster and how rarely they are grouped together in eight-dimensional space spanned by variability indices. All NSVS light curves are also cross-correlated with IRAS, AKARI, Two Micron All Sky Survey, Sloan Digital Sky Survey (SDSS), and GALEX objects, as well as known objects in the SIMBAD database. The variability analysis and cross-correlation results are provided in a public online database, which can be used to select interesting objects for further investigation. Adopting conservative selection criteria for variable candidates, we find about 1.8 million light curves as possible variable candidates in the NSVS data, corresponding to about 10% of our entire NSVS sample. Multi-wavelength colors help us find specific types of variability among the variable candidates. Moreover, we also use morphological classification from other surveys such as SDSS to suppress spurious cases caused by blending objects or extended sources due to the low angular resolution of the NSVS.

Shin, Min-Su [Department of Astronomy, The University of Michigan, 500 Church Street, Ann Arbor, MI 48109 (United States); Yi, Hahn; Kim, Dae-Won; Chang, Seo-Won [Department of Astronomy, Yonsei University, Seoul 120-749 (Korea, Republic of); Byun, Yong-Ik, E-mail: msshin@umich.edu, E-mail: yihahn@galaxy.yonsei.ac.kr, E-mail: dakim@cfa.harvard.edu, E-mail: seowony@galaxy.yonsei.ac.kr, E-mail: ybyun@yonsei.ac.kr [Department of Astronomy and University Observatory, Yonsei University, Seoul 120-749 (Korea, Republic of)

2012-03-15T23:59:59.000Z

266

Time Spectral Analysis of Midlatitude Disturbances in the Martian Atmosphere  

Science Conference Proceedings (OSTI)

The nature of the synoptic period variations in the Viking 2 pressure, wind and temperature data is investigated, using time-spectral and cross-spectral analysis, for selected portions of the Mars fall, winter and spring seasons. Estimates of the ...

Jeffrey R. Barnes

1980-09-01T23:59:59.000Z

267

Real-time chemical analysis of aerosol particles  

Science Conference Proceedings (OSTI)

An important aspect of environmental atmospheric monitoring requires the characterization of airborne microparticles and aerosols. Unfortunately, traditional sample collection and handling techniques are prone to contamination and interference effects that can render an analysis invalid. These problems can be avoided by using real-time atmospheric sampling techniques followed by immediate mass spectrometric analysis. The former is achieved in these experiments via a two state differential pumping scheme that is attached directly to a commercially available quadruple ion trap mass spectrometer. Particles produced by an external particle generator enter the apparatus and immediately pass through two cw laser/fiberoptic based detectors positioned two centimeters apart. Timing electronics measure the time between detection events, estimate the particles arrival in the center of the ion trap and control the firing of a YAG laser. Ions produced when the UV laser light ablates the particle`s surface are stored by the ion trap for mass analysis. Ion trap mass spectrometers have several advantages over conventional time-of-flight instruments. First, they are capable of MS/MS analysis by the collisional dissociation of a stored species, This permits complete chemical characterization of airborne samples. Second, ion traps are small and lend themselves to portable, field oriented applications.

Yang, M.; Whitten, W.B.; Ramsey, J.M.

1995-04-01T23:59:59.000Z

268

Time-frequency analysis and Harmonic Gaussian Functions  

E-Print Network (OSTI)

A method for time-frequency analysis is given. The approach utilizes properties of Gaussian distribution, properties of Hermite polynomials and Fourier analysis. We begin by the definitions of a set of functions called harmonic Gaussian functions. Then these functions are used to define a set of transformations,noted T_n, which associate to a function {\\psi},of the time variable t, a set of functions {\\Psi}_n which depend on time, frequency and frequency (or time) standard deviation. Some properties of the transformations T_n and the functions {\\Psi}_n are given. It is proved in particular that the square of the modulus of each function {\\Psi}_n can be interpreted as a representation of the energy distribution of the signal, represented by the function {\\psi}, in the time-frequency plane for a given value of the frequency (or time) standard deviation. It is also shown that the function {\\psi}, can be recovered from the functions{\\Psi}_n.

Tokiniaina Ranaivoson; Raoelina Andriambololona; Rakotoson Hanitriarivo

2013-03-08T23:59:59.000Z

269

Series Crimes  

E-Print Network (OSTI)

Puiseux series are power series in which the exponents can be fractional and/or negative rational numbers. Several computer algebra systems have one or more built-in or loadable functions for computing truncated Puiseux series. Some are generalized to allow coe?cients containing functions of the series variable that are dominated by any power of that variable, such as logarithms and nested logarithms of the series variable. Some computer algebra systems also have built-in or loadable functions that compute infinite Puiseux series. Unfortunately, there are some little-known pitfalls in computing Puiseux series. The most serious of these is expansions within branch cuts or at branch points that are incorrect for some directions in the complex plane. For example with each series implementation accessible to you: Compare the value of (z^2 + z^3)^(3/2) with that of its truncated series expansion about z = 0, approximated at z = -0.01. Does the series converge to a value that is the negative of the correct value? C...

Stoutemyer, David R

2012-01-01T23:59:59.000Z

270

Real-time power system analysis: Feasibility and critical technologies  

Science Conference Proceedings (OSTI)

Modern electrical grids face increasing demands to serve new or unusual loads, to integrate unconventional new resources, and to transmit power in unforeseen ways. These expanding demands will require utilities to operate existing systems closer to steady-state limits, thus increasing the performance requirements of operation and control systems. In this paper we use the challenges posed by power system stability analysis to motivate a discussion of the technologies required to advance the state-of-the-art in real-time power system control. We consider the computational requirements of system stability analysis techniques (transient simulation, eigenanalysis, time-domain fitting, and frequency-response analysis). Additional requirements are imposed by the necessity that the computational results support either human or automated decision making. We then address the role that critical computer and information technologies must play in addressing these needs. Our emphasis is on high performance computing, where we consider both hardware issues and algorithmic requirements. Data management, user interface, visualization, and expert system technologies are also discussed. We conclude by suggesting elements of a strategic plan for creating the next generation of computer tools for power system analysis, and for their use in real-time control applications. 18 refs.

Pearson, E.W.; Trudnowski, D.J. (Battelle Pacific Northwest Lab., Richland, WA (United States)); Hauer, J.F.; Watkins, D.S. (USDOE Bonneville Power Administration, Portland, OR (United States))

1991-11-01T23:59:59.000Z

271

Middle-term electrical load forecasting by time series decomposition. Report for EUNITE 2001 Competition, 2001. Available at http://neuron.tuke.sk/competition  

E-Print Network (OSTI)

Abstract. We present the results of our work in the frame of World-Wide Competition organized within the EUNITE network. For the middle-term electric load forecasting task with prediction horizon 1-31 days ahead we decided to develop a simple model based on decomposition of analyzed time series. The additive components were estimated using the training data collected by the Eastern Slovakian Electricity Corporation during the period 1997-1998. The model was validated by using of the real data from the first 20 days in December 1998. For final application the model was retrained and the requested forecasts were performed. The temperatures in January 1999, which form the inputs to the model, were estimated by moving average methods applied on historical data sets. 1

Emil Pelikán

2002-01-01T23:59:59.000Z

272

Toward Real Time Data Analysis for Smart Grids  

Science Conference Proceedings (OSTI)

This paper describes the architecture and design of a novel system for supporting large-scale real-time data analysis for future power grid systems. The widespread deployment of renewable generation, smart grid controls, energy storage, plug-in hybrids, and new conducting materials will require fundamental changes in the operational concepts and principal components of the grid. As a result, the whole system becomes highly dynamic and requires constant adjusting based on real time data. Even though millions of sensors such as phase measurement units (PMU) and smart meters are being widely deployed, a data layer that can analyze this amount of data in real time is needed. Unlike the data fabric in other cloud services, the data layer for smart grids has some unique design requirements. First, this layer must provide real time guarantees. Second, this layer must be scalable to allow a large number of applications to access the data from millions of sensors in real time. Third, reliability is critical and this layer must be able to continue to provide service in face of failures. Fourth, this layer must be secure. We address these challenges though a scalable system architecture that integrates the I/O and data processing capability in a devise set of devices. Data process operations can be placed anywhere from sensors, data storage devices, to control centers. We further employ compression to improve performance. We design a lightweight compression customized for power grid data. Our system can reduce end-to-end response time by reduce I/O overhead through compression and overlap compression operations with I/O. The initial prototype of our system was demonstrated with several use cases from PNNL’s FPGI and show that our system can provide real time guarantees to a diverse set of applications.

Yin, Jian; Gorton, Ian; Sharma, Poorva

2012-11-10T23:59:59.000Z

273

Natural time analysis of the Centennial Earthquake Catalog  

Science Conference Proceedings (OSTI)

By using the most recent version (1900-2007) of the Centennial Earthquake Catalog, we examine the properties of the global seismicity. Natural time analysis reveals that the fluctuations of the order parameter {kappa}{sub 1} of seismicity exhibit for at least three orders of magnitude a characteristic feature similar to that of the order parameter for other equilibrium or non-equilibrium critical systems-including self-organized critical systems. Moreover, we find non-trivial magnitude correlations for earthquakes of magnitude greater than or equal to 7.

Sarlis, N. V.; Christopoulos, S.-R. G. [Physics Department, Solid State Section and Solid Earth Physics Institute, University of Athens, Panepistimiopolis, Zografos 157 84, Athens (Greece)

2012-06-15T23:59:59.000Z

274

Poincaré series  

Science Conference Proceedings (OSTI)

It is known that the series ~(v, k; G) are parabolic forms with respect to the subgroup. G and generate the whole space of parabolic forms Sk(G). Petersson ...

275

A Novel Gain Time Reclaiming Framework Integrating WCET Analysis for Object-Oriented Real-Time Systems  

E-Print Network (OSTI)

This paper proposes a novel gain time reclaiming framework integrating WCET analysis for objectoriented real-time systems in order to provide greater flexibility and without loss of the predictability and e#- ciency of the whole system. In this paper we present an approach which demonstrates how to improve the utilisation and overall performance of the whole system by reclaiming gain time at run-time. Our approach shows that integrating WCET with gain time reclaiming not only can provide a more flexible environment to develop object-oriented real-time applications, but it also does not necessarily result in unsafe or unpredictable timing analysis.

Erik Yu-shing Hu; Andy Wellings; Guillem Bernat

2002-01-01T23:59:59.000Z

276

Absolute high-resolution Se{sup +} photoionization cross-section measurements with Rydberg-series analysis  

Science Conference Proceedings (OSTI)

Absolute single photoionization cross-section measurements for Se{sup +} ions were performed at the Advanced Light Source (ALS) at Lawrence Berkeley National Laboratory using the photo-ion merged-beams technique. Measurements were made at a photon energy resolution of 5.5 meV from 17.75 to 21.85 eV spanning the 4s{sup 2}4p{sup 3} {sup 4}S{sub 3/2}{sup o} ground-state ionization threshold and the {sup 2}P{sub 3/2}{sup o},{sup 2}P{sub 1/2}{sup o},{sup 2}D{sub 5/2}{sup o}, and{sup 2}D{sub 3/2}{sup o} metastable state thresholds. Extensive analysis of the complex resonant structure in this region identified numerous Rydberg series of resonances and obtained the Se{sup 2+} 4s{sup 2}4p{sup 23}P{sub 2} and 4s{sup 2}4p{sup 21}S{sub 0} state energies. In addition, particular attention was given to removing significant effects in the measurements due to a small percentage of higher-order undulator radiation.

Esteves, D. A. [University of Nevada, Reno, Department of Physics, MS 0220, Reno, Nevada 89557 (United States); Advanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, California 94720 (United States); Bilodeau, R. C. [Western Michigan University, MS 5252, 1903 W. Michigan Ave, Kalamazoo, Michigan 49008 (United States); Advanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, California 94720 (United States); Sterling, N. C. [Department of Physics and Astronomy, Michigan State University, 3248, Biomedical Physical Sciences, East Lansing, Michigan 48824-2320 (United States); Phaneuf, R. A. [University of Nevada, Reno, Department of Physics, MS 0220, Reno, Nevada 89557 (United States); Kilcoyne, A. L. D.; Red, E. C.; Aguilar, A. [Advanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, California 94720 (United States)

2011-07-15T23:59:59.000Z

277

Improved analysis of musical sounds using time-frequency distributions.  

E-Print Network (OSTI)

??The objective of this research is to improve the analysis of musical sounds in comparison to traditional additive analysis, i.e. Fourier Analysis. Namely, the focus… (more)

Kosek, Paul C.

2005-01-01T23:59:59.000Z

278

Stochastic breakthrough time analysis of an enhanced oil recovery process  

Science Conference Proceedings (OSTI)

Keywords: polymer flooding, reliability methods, sensitivity analysis, stochastic differential equations

Hans Petter Langtangen

1992-11-01T23:59:59.000Z

279

Time-Varying z-Transform for the Analysis of Discrete-Time Linear Time Periodic Systems  

Science Conference Proceedings (OSTI)

This article deals with a new representation of linear discrete-time periodic systems. This representation, based on the time-varying z-transform, turns out to be highly efficient in the field of automatic control, when an appropriate choice of ... Keywords: Nyquist criterion, final value theorem, initial value theorem, linear discrete-time periodic systems, time-varying z-transform, time-varying frequency response, time-varying systems

A. Garcia Iturricha; J. Sabatier; A. Oustaloup

2003-07-01T23:59:59.000Z

280

A Novel Method for the Homogenization of Daily Temperature Series and Its Relevance for Climate Change Analysis  

Science Conference Proceedings (OSTI)

Instrumental daily series of temperature are often affected by inhomogeneities. Several methods are available for their correction at monthly and annual scales, whereas few exist for daily data. Here, an improved version of the higher-order ...

Andrea Toreti; Franz G. Kuglitsch; Elena Xoplaki; Jürg Luterbacher; Heinz Wanner

2010-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "time series analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Analysis of real-time reservoir monitoring : reservoirs, strategies, & modeling.  

Science Conference Proceedings (OSTI)

The project objective was to detail better ways to assess and exploit intelligent oil and gas field information through improved modeling, sensor technology, and process control to increase ultimate recovery of domestic hydrocarbons. To meet this objective we investigated the use of permanent downhole sensors systems (Smart Wells) whose data is fed real-time into computational reservoir models that are integrated with optimized production control systems. The project utilized a three-pronged approach (1) a value of information analysis to address the economic advantages, (2) reservoir simulation modeling and control optimization to prove the capability, and (3) evaluation of new generation sensor packaging to survive the borehole environment for long periods of time. The Value of Information (VOI) decision tree method was developed and used to assess the economic advantage of using the proposed technology; the VOI demonstrated the increased subsurface resolution through additional sensor data. Our findings show that the VOI studies are a practical means of ascertaining the value associated with a technology, in this case application of sensors to production. The procedure acknowledges the uncertainty in predictions but nevertheless assigns monetary value to the predictions. The best aspect of the procedure is that it builds consensus within interdisciplinary teams The reservoir simulation and modeling aspect of the project was developed to show the capability of exploiting sensor information both for reservoir characterization and to optimize control of the production system. Our findings indicate history matching is improved as more information is added to the objective function, clearly indicating that sensor information can help in reducing the uncertainty associated with reservoir characterization. Additional findings and approaches used are described in detail within the report. The next generation sensors aspect of the project evaluated sensors and packaging survivability issues. Our findings indicate that packaging represents the most significant technical challenge associated with application of sensors in the downhole environment for long periods (5+ years) of time. These issues are described in detail within the report. The impact of successful reservoir monitoring programs and coincident improved reservoir management is measured by the production of additional oil and gas volumes from existing reservoirs, revitalization of nearly depleted reservoirs, possible re-establishment of already abandoned reservoirs, and improved economics for all cases. Smart Well monitoring provides the means to understand how a reservoir process is developing and to provide active reservoir management. At the same time it also provides data for developing high-fidelity simulation models. This work has been a joint effort with Sandia National Laboratories and UT-Austin's Bureau of Economic Geology, Department of Petroleum and Geosystems Engineering, and the Institute of Computational and Engineering Mathematics.

Mani, Seethambal S.; van Bloemen Waanders, Bart Gustaaf; Cooper, Scott Patrick; Jakaboski, Blake Elaine; Normann, Randy Allen; Jennings, Jim (University of Texas at Austin, Austin, TX); Gilbert, Bob (University of Texas at Austin, Austin, TX); Lake, Larry W. (University of Texas at Austin, Austin, TX); Weiss, Chester Joseph; Lorenz, John Clay; Elbring, Gregory Jay; Wheeler, Mary Fanett (University of Texas at Austin, Austin, TX); Thomas, Sunil G. (University of Texas at Austin, Austin, TX); Rightley, Michael J.; Rodriguez, Adolfo (University of Texas at Austin, Austin, TX); Klie, Hector (University of Texas at Austin, Austin, TX); Banchs, Rafael (University of Texas at Austin, Austin, TX); Nunez, Emilio J. (University of Texas at Austin, Austin, TX); Jablonowski, Chris (University of Texas at Austin, Austin, TX)

2006-11-01T23:59:59.000Z

282

Continuous Time Series of Catchment-Averaged Sensible Heat Flux from a Large Aperture Scintillometer: Efficient Estimation of Stability Conditions and Importance of Fluxes under Stable Conditions  

Science Conference Proceedings (OSTI)

A large aperture scintillometer (LAS) observes the intensity of the atmospheric turbulence across large distances, which is related to the path-averaged sensible heat flux H. In this paper, two problems in the derivation of continuous series of H ...

Bruno Samain; Willem Defloor; Valentijn R. N. Pauwels

2012-04-01T23:59:59.000Z

283

Analysis of Wind Power and Load Data at Multiple Time Scales  

NLE Websites -- All DOE Office Websites (Extended Search)

Analysis of Wind Power and Load Data at Multiple Time Scales Title Analysis of Wind Power and Load Data at Multiple Time Scales Publication Type Report Year of Publication 2010...

284

A BAYESIAN APPROACH TO THE ANALYSIS OF TIME SYMMETRY IN LIGHT CURVES: RECONSIDERING SCORPIUS X-1 OCCULTATIONS  

Science Conference Proceedings (OSTI)

We present a new approach to the analysis of time symmetry in light curves, such as those in the X-ray at the center of the Scorpius X-1 occultation debate. Our method uses a new parameterization for such events (the bilogistic event profile) and provides a clear, physically relevant characterization of each event's key features. We also demonstrate a Markov chain Monte Carlo algorithm to carry out this analysis, including a novel independence chain configuration for the estimation of each event's location in the light curve. These tools are applied to the Scorpius X-1 light curves presented in Chang et al., providing additional evidence based on the time series that the events detected thus far are most likely not occultations by trans-Neptunian objects.

Blocker, Alexander W. [Department of Statistics, Harvard University, 1 Oxford Street, Cambridge, MA 02138 (United States); Protopapas, Pavlos [Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138 (United States); Alcock, Charles R. [Initiative in Innovative Computing, Harvard University, 60 Oxford Street, Cambridge, MA 02138 (United States)

2009-08-20T23:59:59.000Z

285

A Bayesian approach to the analysis of time symmetry in light curves: Reconsidering Scorpius X-1 occultations  

E-Print Network (OSTI)

We present a new approach to the analysis of time symmetry in light curves, such as those in the x-ray at the center of the Scorpius X-1 occultation debate. Our method uses a new parameterization for such events (the bilogistic event profile) and provides a clear, physically relevant characterization of each event's key features. We also demonstrate a Markov Chain Monte Carlo algorithm to carry out this analysis, including a novel independence chain configuration for the estimation of each event's location in the light curve. These tools are applied to the Scorpius X-1 light curves presented in Chang et al. (2007), providing additional evidence based on the time series that the events detected thus far are most likely not occultations by TNOs.

Blocker, Alexander W; Alcock, Charles R

2009-01-01T23:59:59.000Z

286

Data Analysis for Real Time Identification of Grid Disruptions  

DOE Green Energy (OSTI)

The U.S. electric power system comprises multiple distinct interconnections of generators, high voltage transmission systems, and local distribution systems that maintain a continuous balance between generation and load with impressive levels of efficiency and reliability. This critical infrastructure has served the nation remarkably well, but is likely to see more changes over the next decade than it has seen over the past century. In particular, the widespread deployment of renewable generation, smart-grid controls, energy storage, and new conducting materials will require fundamental changes in grid planning and the way we run the power grid. Two challenges in the realization of the smart grid technology are the ability to visualize the deluge of expected data streams for global situational awareness; as well as the ability to detect disruptive and classify such events from spatially-distributed high-speed power system frequency measurements. One element of smart grid technology is the installation of a wide-area frequency measurement system on the electric poles in the streets for conditions monitoring of the distribution lines. This would provide frequency measurements about the status of the electric grid and possible information about impending problems before they start compounding and cascading. The ability to monitor the distribution lines is just one facet of proposed smart grid technology. Other elements include the installation of advanced devices such as smart meters, the automation of transmission lines, the integration of renewable energy technologies such as solar and wind, and the advancement of plug-in hybrid electric vehicle technology. This chapter describes recent advancements in the area of intelligent data analysis for real time detection of disruptive events from power system frequency data collected using an existing internet-based frequency monitoring network (FNET), which is a precursor for future smart-grid systems.

Chandola, Varun [ORNL; Omitaomu, Olufemi A [ORNL; Fernandez, Steven J [ORNL

2012-01-01T23:59:59.000Z

287

Statistical timing analysis using levelized covariance propagation considering systematic and random variations of process parameters  

Science Conference Proceedings (OSTI)

Variability in process parameters is making accurate timing analysis of nano-scale integrated circuits an extremely challenging task. In this article, we propose a new algorithm for statistical static timing analysis (SSTA) using levelized covariance ... Keywords: Process variation, spatial correlation, statistical timing analysis

Kunhyuk Kang; Bipul C. Paul; Kaushik Roy

2006-10-01T23:59:59.000Z

288

Modeling data with multiple time dimensions  

Science Conference Proceedings (OSTI)

A large class of problems in time series analysis can be represented by a set of overlapping time series with different starting times. These time series may be treated as different probes of the same underlying process. Such probes may follow a characteristic ... Keywords: Dendrochronology, Douglas fir, Dual-time dynamics, El Malpais, Generalized additive models, Global climate change, Non-linear dynamics, Non-linear modeling, Pinon pine, Ponderosa pine, Portfolio forecasting, Retail lending, SETI@home, Scenario-based forecasting, Search for extraterrestrial intelligence, Time series, Tree rings

Joseph L. Breeden

2007-05-01T23:59:59.000Z

289

Analysis of Wind Generation System by Real-Time Simulation  

Science Conference Proceedings (OSTI)

Due to the demand of green energy, the number of wind turbines installed has been increased drastically worldwide. Comparing with the traditional utility generation systems, the dynamic characteristic and response of wind farms are totally different. ... Keywords: Doubly-fed induction generator, real-time simulation, PC cluster-based real-time simulator, wind farm

H. C. Su; G. W. Chang; H. M. Huang; K. K. Jen; G. C. Chung; G. Z. Wu

2012-06-01T23:59:59.000Z

290

An analysis of some time-sharing techniques  

Science Conference Proceedings (OSTI)

The effectiveness of certain time-sharing techniques such as program relocation, disk rotational delay minimization, and swap volume minimization is investigated. Summary data is presented, and the findings are discussed. The vehicle for this investigation ... Keywords: B6500, bulk core usage, operating system model, relocation, rotational delay minimization, simulation, swap volume minimization, system simulation, time-sharing

Norman R. Nielsen

1971-02-01T23:59:59.000Z

291

The Simulation of Daily Temperature Time Series from GCM Output. Part II: Sensitivity Analysis of an Empirical Transfer Function Methodology  

Science Conference Proceedings (OSTI)

Empirical transfer functions have been proposed as a means for “downscaling” simulations from general circulation models (GCMs) to the local scale. However, subjective decisions made during the development of these functions may influence the ...

Julie A. Winkler; Jean P. Palutikof; Jeffrey A. Andresen; Clare M. Goodess

1997-10-01T23:59:59.000Z

292

Generalized redundancies for time series analysis Dean Prichard 1;2a and James Theiler 2;3  

E-Print Network (OSTI)

, Nonproliferation and International Security Division, Los Alamos National Laboratory, Los Alamos, NM 87545 3 Santa

Theiler, James

293

Two-Phase Hydraulics State Identification using linear and non-linear time series analysis: Distillation Column Flooding Sensor.  

E-Print Network (OSTI)

??A novel sensor to detect and predict hydraulic flooding in the distillation column was developed in this research. High speed (1000 Hz) differential pressure data… (more)

Patel, Alok Maheshbhai

2007-01-01T23:59:59.000Z

294

Evaluation of Data Reduction Algorithms for Real-Time Analysis  

Science Conference Proceedings (OSTI)

Data reduction tools are developed and evaluated using a data analysis framework. Simple (nonadaptive) and intelligent (adaptive) thinning algorithms are applied to both synthetic and real data and the thinned datasets are ingested into an ...

Steven M. Lazarus; Michael E. Splitt; Michael D. Lueken; Rahul Ramachandran; Xiang Li; Sunil Movva; Sara J. Graves; Bradley T. Zavodsky

2010-06-01T23:59:59.000Z

295

NASA GISS Surface Temperature (GISTEMP) Analysis: Graphics  

NLE Websites -- All DOE Office Websites (Extended Search)

Temperature Analysis Graphs NASA GISS Surface Temperature (GISTEMP) Analysis: Graphics Time Series Graphs of Global, Hemispheric, and Zonal Temperature Anomalies Graphics...

296

Series A.  

Office of Legacy Management (LM)

.WGJPH-146 ' .WGJPH-146 ' 3 .P' , p3 ."J$i v-e- \. Cont&ning 3 pages Consisting of 0 figuree. Copy No. &of-G copies Series A. , / October 19, 1943 I:. ;I, ' , r;l ?" I ' I' 0 : J. Chipman r'rcro: John P. Howe In Re: Trip to ClYveland, Ohio, October 11, I.943 Thie is to report on the conference held on October 11th in which the pro+. 'g'.*rSs of the coating pork at the Cirasselli Labara*torios ores reviewed. lh05e pToSs;lt were: A. S. I?;ey,uendt; J, C. !'ioodhouse; M. T. Goebel; L. R. kstbrook; .4. Ii. Gray; J. P. Howe; Z. Ft. Keller. YI.,XTFXIP~UTIN~ - A, G. Grcv --- Gray summar ized the progress j;n ,elactropkti:~y, much as is givan ic Yr:e : &.$. .:r : -3 reports of the !l'whnicriL Division. ,. .I c.. , lhe.main points were: ~~'orit i< f:c~!--

297

Temperature and voltage aware timing analysis: application to voltage drops  

Science Conference Proceedings (OSTI)

In the nanometer era, the physical verification of CMOS digital circuit becomes a complex task. Designers must account of new factors that impose a significant change in validation methods. One of these major changes in timing verification to handle ...

B. Lasbouygues; R. Wilson; N. Azemard; P. Maurine

2007-04-01T23:59:59.000Z

298

Time distribution analysis for binary search of a linked list  

Science Conference Proceedings (OSTI)

The aim of this article is to determine the probability distribution of sorting time for different sized linked lists utilizing binary search method and its comparison with results for sequential and binary tree search methods. In [1] the concept of ...

Firooz Khosraviyani; Mohammad H. Moadab; Douglas F. Hale

1991-11-01T23:59:59.000Z

299

Application of the VRV Air-Conditioning System Heat Recovery Series in Interior Zone and Analysis of its Energy Saving  

E-Print Network (OSTI)

To reduce the energy consumption of air conditioning systems, we can use the VRV air conditioning system to supply cold loads in the winter for rooms in the construction inner zone where cold loads need to be supplied. The VRV air-conditioning system of variable frequency technology can achieve the effect of energy conservation. In this article, we analyze the application of the VRV air conditioning system heat recovery series in the construction inner zone and its energy saving characteristics via a project example.

Zhang, Q.; Li, D.; Zhang, J.

2006-01-01T23:59:59.000Z

300

SOS: saving time in dynamic race detection with stationary analysis  

Science Conference Proceedings (OSTI)

Data races are subtle and difficult to detect errors that arise during concurrent program execution. Traditional testing techniques fail to find these errors, but recent research has shown that targeted dynamic analysis techniques can be developed to ... Keywords: concurrency, monitoring, race, threading

Du Li; Witawas Srisa-an; Matthew B. Dwyer

2011-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "time series analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

A Real-Time Global Sea Surface Temperature Analysis  

Science Conference Proceedings (OSTI)

A global monthly sea surface temperature analysis is described which uses real-lime in situ (ship and buoy) and satellite data. The method combines the advantages of both types of data: the ground truth of in situ data and the improved coverage ...

Richard W. Reynolds

1988-01-01T23:59:59.000Z

302

Non-markovian analysis for model driven engineering of real-time software  

Science Conference Proceedings (OSTI)

Quantitative evaluation of models with stochastic timings can decisively support schedulability analysis and performance engineering of real-time concurrent systems. These tasks require modeling formalisms and solution techniques that can encompass stochastic ... Keywords: model driven development, non-markovian stochastic analysis, real-time systems, software performance engineering

Laura Carnevali; Marco Paolieri; Alessandro Santoni; Enrico Vicario

2013-04-01T23:59:59.000Z

303

Analysis of time response of lossy multiconductor transmission line networks  

E-Print Network (OSTI)

Abstract —Systems are considered consisting of an arbitrary number of multiconductor transmission lines joined and terminated by arbitrary linear networks. The fines are assumed to be Iossy, with frequency-dependent parameters. The system is analyzed in the frequency domain, and the inverse Fourier transform is used to obtain tbe time-domain response.

Antonije R. Djordjevic; Tapan; K. Sarkar; Senior Member

1987-01-01T23:59:59.000Z

304

Transit Timing Variation Analysis of Ogle-Tr-132b with Seven New Transits  

E-Print Network (OSTI)

We report the results of the first transit timing variation analysis of the very hot Jupiter OGLE-TR-132b, using 10 transits collected over a seven-year period. Our analysis combines three previously published transit light ...

Adams, Elisabeth Rose

305

A Comparison of Two Objective Analysis Techniques for Profiler Time-Height Data  

Science Conference Proceedings (OSTI)

Two methods for objective analysis of wind profiler data in time-height space are proposed and compared. One is a straightforward adaptation of a procedure developed by Doswell for introducing time continuity into a sequence of spatial analyses. ...

Frederick H. Carr; Phillip L. Spencer; Charles A. Doswell III; Jeffrey D. Powell

1995-07-01T23:59:59.000Z

306

An Improved Time Interpolation for Three-Dimensional Doppler Wind Analysis  

Science Conference Proceedings (OSTI)

A temporal interpolation is required for three-dimensional Doppler wind analysis when the precise measurement time is counted for each radar beam position. The time interpolation is traditionally done by a linear scheme either in the measurement ...

Shun Liu; Chongjian Qiu; Qin Xu; Pengfei Zhang

2004-10-01T23:59:59.000Z

307

Time-frequency resolved ultrafast spectroscopy techniques using wavelet analysis  

E-Print Network (OSTI)

New experimental techniques based on non-linear ultrafast spectroscopies have been developed over the last few years, and have been demonstrated to provide powerful probes of quantum dynamics in different types of molecular aggregates, including both natural and artificial light harvesting complexes. Fourier transform-based spectroscopies have been particularly successful, yet 'complete' spectral information normally necessitates the loss of all information on the temporal sequence of events in a signal. This information though is particularly important in transient or multi-stage processes, in which the spectral decomposition of the data evolves in time. By going through several examples of ultrafast quantum dynamics, we demonstrate that the use of wavelets provide an efficient and accurate way to simultaneously acquire both temporal and frequency information about a signal, and argue that this greatly aids the elucidation and interpretation of physical process responsible for non-stationary spectroscopic features, such as those encountered in coherent excitonic energy transport.

Javier Prior; Enrique Castro; Alex W. Chin; Javier Almeida; Susana F. Huelga; Martin B. Plenio

2013-08-21T23:59:59.000Z

308

Time-Frequency Analysis of GALLEX and GNO Solar Neutrino Data: Evidence Suggestive of Asymmetric and Variable Nuclear Burning  

E-Print Network (OSTI)

Time-frequency analysis of data from the GALLEX and GNO solar neutrino experiments shows that some features in power-spectrum analyses of those datasets are due to aliasing. We normalize data for each of the four experiments in the GALLEX series, concatenate the resulting normalized data, and then form time-frequency displays. We also form time-frequency displays of the two principal modulations found in the data, at 11.87 yr-1 and at 13.63 yr-1, and of the datasets formed by subtracting these modulations from the actual (normalized) data. The results suggest that the true modulation is that at 11.87 yr-1, consistent with the results of our earlier analysis of Homestake solar neutrino data. Comparison with helioseismology data indicates that modulation is occurring either in the radiative zone just below the tachocline, presumably by the RSFP (resonant spin-flavor precession) process, or in the core, presumably due to inhomogeneities and fluctuations in the nuclear-burning process.

P. A. Sturrock

2008-02-22T23:59:59.000Z

309

J. Plasma Fusion Res. SERIES, Vol. 9 (2010) Neutron Transport Analysis for In-vessel Diagnostics in ITER  

E-Print Network (OSTI)

Nuclear transport analysis using the MCNP code and heat analysis using a general purpose Finite Element Method code ANSYS 11, respectively, have been carried out for in-vessel components of the microfission chamber (MFC) and the poloidal polarimeter. The nuclear heating rates of the MI cable and the exhaust pipe of the MFC are highest in the gap between two adjacent blanket modules and decrease at greater distances from the gap. Heat analysis using the nuclear heating rate calculation indicates that the maximum temperature of the exhaust pipe can be lowered by changing the distance between two cooling clamps. The nuclear heating rates of the first mirrors of the poloidal polarimeter in the upper port plug are high (> 1 W/cc), and the radiation shield could reduce this rate only by a factor of 2 ~ 4. This heating likely is caused by the effect of streaming neutrons due to an overlap of the beam lines. However, it has been found that the nuclear heating rate can be reduced by reducing the diameter of the beam transmission line.

Masao Ishikawa; Takashi Kondoh; Takeo Nishitani; Yasunori Kawano; Yoshinori Kusama

2009-01-01T23:59:59.000Z

310

Time-domain Fatigue Response and Reliability Analysis of Offshore Wind Turbines with  

E-Print Network (OSTI)

-domain based simulation model of 750 kW land-based wind turbine Gear contact fatigue analysis of a wind of 750 kW land-based wind turbine Gear contact fatigue analysis of a wind turbine drive train under response and reliability analysis #12;Time domain based simulation model of 750 kW land-based wind turbine

Nørvåg, Kjetil

311

Analysis of Acoustic Signatures from Moving Vehicles UsingTime-Varying Autoregressive Models  

Science Conference Proceedings (OSTI)

Time-varying autoregressive (TVAR) modeling approach for the analysis of acoustic signatures from moving vehicles is presented in this paper. Acoustic signatures from moving vehicles are nonstationary, and features extracted under the stationary ... Keywords: acoustic, classification, time-varying autoregressive model, time-varying, vehicle identification

Kie B. Eom

1999-10-01T23:59:59.000Z

312

Real-Time Airborne Analysis of Aircraft Data Supporting Operational Hurricane Forecasting  

Science Conference Proceedings (OSTI)

The Hurricane Research Division has developed a technique for real-time airborne analysis of aircraft data from reconnaissance and research flights in tropical cyclones. The technique uses an onboard workstation that analyzes flight-level ...

Joseph S. Griffin; Robert W. Burpee; Frank D. Marks Jr.; James L. Franklin

1992-09-01T23:59:59.000Z

313

Catching fish in the stream: real time analysis of audience behavior in social media  

Science Conference Proceedings (OSTI)

In this interactive poster, we describe a system we designed for identifying and tracking the behavior of distinct audiences in social media streams. Keywords: audience behavior, real-time analysis, social media

Yu-Ru Lin; Drew Margolin; Brian Keegan; Mauro Martino; Sasha Goodman; David Lazer

2013-02-01T23:59:59.000Z

314

Distinguished Lecture Series  

NLE Websites -- All DOE Office Websites (Extended Search)

Distinguished Lecture Series Distinguished Lecture Series Long Fuse, Big Bang: Thomas Edison, Electricity, and the Locus of Innovation Andrew Hargadon October 22, 2012 - 12:00pm...

315

Time Series of Aerosol Column Optical Depth at the Barrow, Alaska, ARM Climate Research Facility for 2008 Fourth Quarter 2009 ARM and Climate Change Prediction Program Metric Report  

Science Conference Proceedings (OSTI)

The uncertainties in current estimates of anthropogenic radiative forcing are dominated by the effects of aerosols, both in relation to the direct absorption and scattering of radiation by aerosols and also with respect to aerosol-related changes in cloud formation, longevity, and microphysics (See Figure 1; Intergovernmental Panel on Climate Change, Assessment Report 4, 2008). Moreover, the Arctic region in particular is especially sensitive to changes in climate with the magnitude of temperature changes (both observed and predicted) being several times larger than global averages (Kaufman et al. 2009). Recent studies confirm that aerosol-cloud interactions in the arctic generate climatologically significant radiative effects equivalent in magnitude to that of green house gases (Lubin and Vogelmann 2006, 2007). The aerosol optical depth is the most immediate representation of the aerosol direct effect and is also important for consideration of aerosol-cloud interactions, and thus this quantity is essential for studies of aerosol radiative forcing.

C Flynn; AS Koontz; JH Mather

2009-09-01T23:59:59.000Z

316

A class of learning algorithms for principal component analysis based on time-oriented hierarchical method  

Science Conference Proceedings (OSTI)

This paper presents a class of algorithms for principal component analysis obtained by modification of a class of algorithms for principal subspace analysis (PSA) known as Plumbley's General Stochastic Approximation. Modification of the algorithms is ... Keywords: PCA, PSA, general stochastic approximation, neural networks, time hierarchy

Marko V. Jankovic

2006-04-01T23:59:59.000Z

317

Modeling shared cache and bus in multi-cores for timing analysis  

Science Conference Proceedings (OSTI)

Timing analysis of concurrent programs running on multi-core platforms is currently an important problem. The key to solving this problem is to accurately model the timing effects of shared resources in multi-cores, namely shared cache and bus. In this ... Keywords: WCET, multi-core, shared bus, shared cache

Sudipta Chattopadhyay; Abhik Roychoudhury; Tulika Mitra

2010-06-01T23:59:59.000Z

318

Stability analysis of T-S fuzzy models for nonlinear multiple time-delay interconnected systems  

Science Conference Proceedings (OSTI)

In this paper, the Takagi-Sugeno (T-S) fuzzy model representation is extended to the stability analysis for nonlinear interconnected systems with multiple time-delays using linear matrix inequality (LMI) theory. In terms of Lyapunov's direct method for ... Keywords: Lyapunov's theory, fuzzy systems, time delay

C. W. Chen; W. L. Chiang; F. H. Hsiao

2004-08-01T23:59:59.000Z

319

Performance Analysis of a Priority Queue with Place Reservation and General Transmission Times  

Science Conference Proceedings (OSTI)

In this paper, we analyze a discrete-time single-server queue with two classes of packet arrivals and a reservation-based scheduling discipline. The objective of this discipline is to give a certain priority to (delay-sensitive) packets of class 1 and ... Keywords: Discrete-time queueing model, delay analysis, place reservation, priority scheduling

Bart Feyaerts; Sabine Wittevrongel

2008-08-01T23:59:59.000Z

320

Analysis of Heart Rate Variability Using Time-Varying Filtering of Heart Transplanted Patients  

E-Print Network (OSTI)

Analysis of Heart Rate Variability Using Time-Varying Filtering of Heart Transplanted Patients the heart rate variability (HRV), obtained by using the time-varying integral pulse frequency modulation (TVIPFM) which is well adapted to the exercise stress testing. We consider that the mean heart period

Paris-Sud XI, Université de

Note: This page contains sample records for the topic "time series analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Quasi-real-time analysis of dynamic near field scattering data using a graphics processing unit  

E-Print Network (OSTI)

We present an implementation of the analysis of dynamic near field scattering (NFS) data using a graphics processing unit (GPU). We introduce an optimized data management scheme thereby limiting the number of operations required. Overall, we reduce the processing time from hours to minutes, for typical experimental conditions. Previously the limiting step in such experiments, the processing time is now comparable to the data acquisition time. Our approach is applicable to various dynamic NFS methods, including shadowgraph, Schlieren and differential dynamic microscopy.

Giovanni Cerchiari; Fabrizio Croccolo; Frédéric Cardinaux; Frank Scheffold

2012-09-15T23:59:59.000Z

322

Extreme Value Analysis of Heart Beat Fluctuations  

Science Conference Proceedings (OSTI)

We have performed an extreme value analysis of the heart beat fluctuations. We have analyzed 24?h ECG time series: by considering both

C. Pennetta; S. Conte

2009-01-01T23:59:59.000Z

323

Testing for Drift in a Time Series  

E-Print Network (OSTI)

;c6#28; #16;t @ #22;i#16;}#4;|#16;?} u#3;?U|#16;L?c t#3;U#4; @t |#4;i #18;@h|*i|| #22;#16;?_L#22;c #25;E#12;c6#28; ’ #3; m#12; m*E6n #28;c @?_ e #14;E#12;#28; #16;t |#4;i t@4T*i @#3;|LUL#15;@h#16;@?Ui Lu |#4;i hit#16;_#3;@*tc {+ | #3; e qc...

Busetti, Fabio; Harvey, Andrew C

2004-06-16T23:59:59.000Z

324

A Time Series of Agulhas Undercurrent Transport  

Science Conference Proceedings (OSTI)

A 550-day record of Agulhas Undercurrent transport between March 2003 and August 2004 is constructed from five deep moorings placed on the continental shelf off South Africa at nominally 32°S. The vertical and lateral scales of the undercurrent ...

Lisa M. Beal

2009-10-01T23:59:59.000Z

325

Analysis of Customer Enrollment Patterns in TIme-Based Rate Programs:  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Analysis of Customer Enrollment Patterns in TIme-Based Rate Analysis of Customer Enrollment Patterns in TIme-Based Rate Programs: Initial Results from the SGIG Consumer Behavior Studies (July 2013) Analysis of Customer Enrollment Patterns in TIme-Based Rate Programs: Initial Results from the SGIG Consumer Behavior Studies (July 2013) The U.S. Department of Energy is implementing the Smart Grid Investment Grant (SGIG) program under the American Recovery and Reinvestment Act of 2009 (Recovery Act). The SGIG program involves 99 projects that are deploying smart grid technologies, tools, and techniques for electric transmission, distribution, advanced metering, and customer systems. A subset of the 99 SGIG projects is conducting consumer behavior studies. These studies examine the response of residential and small commercial

326

Method for determination of .sup.18 O/.sup.16 O and .sup.2 H/.sup.1 H ratios and .sup.3 H (tritium) concentrations of xylem waters and subsurface waters using time series sampling  

DOE Patents (OSTI)

A method for determination of .sup.18 O/.sup.16 O and .sup.2 H/.sup.1 H ratios and .sup.3 H concentrations of xylem and subsurface waters using time series sampling, insulating sampling chambers, and combined .sup.18 O/.sup.16 O, .sup.2 H/.sup.1 H and .sup.3 H concentration data on transpired water. The method involves collecting water samples transpired from living plants and correcting the measured isotopic compositions of oxygen (.sup.18 O/.sup.16 O) and hydrogen (.sup.2 H/.sup.1 H and/or .sup.3 H concentrations) to account for evaporative isotopic fractionation in the leafy material of the plant.

Smith, Brian (1126 Delaware St., Berkeley, CA 94702); Menchaca, Leticia (1126 Delaware St., Berkeley, CA 94702)

1999-01-01T23:59:59.000Z

327

Towards a Scalable and Reliable Real Time In-Network Data Analysis Infrastructure  

Science Conference Proceedings (OSTI)

The smart grid applications requires real time analysis, response within the order of milliseconds and high-reliability because of the mission critical structure of the power grid system. The only way to satisfy these requirements is in network data analysis and build-in redundancy routing for failures. To achieve this, we propose a data dissemination system that builds routes using network flow algorithms, have in network processing of the data and utilize data encoding to cope with high latencies.

Ciraci, Selim; Yin, Jian

2011-12-01T23:59:59.000Z

328

Impacts of different data averaging times on statistical analysis of distributed domestic photovoltaic systems  

Science Conference Proceedings (OSTI)

The trend of increasing application of distributed generation with solar photovoltaics (PV-DG) suggests that a widespread integration in existing low-voltage (LV) grids is possible in the future. With massive integration in LV grids, a major concern is the possible negative impacts of excess power injection from on-site generation. For power-flow simulations of such grid impacts, an important consideration is the time resolution of demand and generation data. This paper investigates the impact of time averaging on high-resolution data series of domestic electricity demand and PV-DG output and on voltages in a simulated LV grid. Effects of 10-minutely and hourly averaging on descriptive statistics and duration curves were determined. Although time averaging has a considerable impact on statistical properties of the demand in individual households, the impact is smaller on aggregate demand, already smoothed from random coincidence, and on PV-DG output. Consequently, the statistical distribution of simulated grid voltages was also robust against time averaging. The overall judgement is that statistical investigation of voltage variations in the presence of PV-DG does not require higher resolution than hourly. (author)

Widen, Joakim; Waeckelgaard, Ewa [Department of Engineering Sciences, The Aangstroem Laboratory, Uppsala University, P.O. Box 534, SE-751 21 Uppsala (Sweden); Paatero, Jukka; Lund, Peter [Advanced Energy Systems, Helsinki University of Technology, P.O. Box 2200, FI-02015 HUT (Finland)

2010-03-15T23:59:59.000Z

329

Analysis of environmental influences in nuclear half-life measurements exhibiting time-dependent decay rates  

E-Print Network (OSTI)

In a recent series of papers evidence has been presented for correlations between solar activity and nuclear decay rates. This includes an apparent correlation between Earth-Sun distance and data taken at Brookhaven National Laboratory (BNL), and at the Physikalisch-Technische Bundesanstalt (PTB). Although these correlations could arise from a direct interaction between the decaying nuclei and some particles or fields emanating from the Sun, they could also represent an "environmental" effect arising from a seasonal variation of the sensitivities of the BNL and PTB detectors due to changes in temperature, relative humidity, background radiation, etc. In this paper, we present a detailed analysis of the responses of the detectors actually used in the BNL and PTB experiments, and show that sensitivities to seasonal variations in the respective detectors are likely too small to produce the observed fluctuations.

Jere H. Jenkins; Daniel W. Mundy; Ephraim Fischbach

2009-12-29T23:59:59.000Z

330

science_series_map  

NLE Websites -- All DOE Office Websites (Extended Search)

Science Series in CEBAF Center * The Science Series begins at 7:00 PM and typically ends near 8:00 PM * Park in the CEBAF Center parking lot * Enter CEBAF Center through the south...

331

Multimodal analysis of body sensor network data streams for real-time healthcare  

Science Conference Proceedings (OSTI)

Fundamental advances in low power circuits, wireless communication, physiological sensor design, and multimedia stream processing, have led to the deployment of body sensor networks for the real-time monitoring of individual health in diverse settings. ... Keywords: body sensor networks, multi-modal analysis, sensor networks, systems and communications

Manoj K. Garg; Duk-Jin Kim; Deepak S. Turaga; Balakrishnan Prabhakaran

2010-03-01T23:59:59.000Z

332

Designing heterogeneous ECU networks via compact architecture encoding and hybrid timing analysis  

Science Conference Proceedings (OSTI)

In this paper, a design method for automotive architectures is proposed. The two main technical contributions are (i) a novel hardware/software architecture encoding that unifies a number of design steps, i.e., resource allocation, process binding, ... Keywords: automotive, design space exploration, timing analysis

Michael Glaß; Martin Lukasiewycz; Jürgen Teich; Unmesh D. Bordoloi; Samarjit Chakraborty

2009-07-01T23:59:59.000Z

333

Residence Time Distribution Measurement and Analysis of Pilot-Scale Pretreatment Reactors for Biofuels Production: Preprint  

SciTech Connect

Measurement and analysis of residence time distribution (RTD) data is the focus of this study where data collection methods were developed specifically for the pretreatment reactor environment. Augmented physical sampling and automated online detection methods were developed and applied. Both the measurement techniques themselves and the produced RTD data are presented and discussed.

Sievers, D.; Kuhn, E.; Tucker, M.; Stickel, J.; Wolfrum, E.

2013-06-01T23:59:59.000Z

334

Assessment of Smolt Condition for Travel Time Analysis, 1993-1994 Annual Report.  

SciTech Connect

The assessment of smolt condition for travel time analysis (ASCTTA) project provided information on the level of smoltification in Columbia River hatchery and wild salmonid stocks to the Fish Passage Center (FPC), for the primary purpose of in-river management of flows.

Schrock, Robin M; Beeman, John W; VanderKooi, Scott P [US Geological Survey, Western Fisheries Research Center, Columbia River Research Laboratory, Cook, WA

1999-02-01T23:59:59.000Z

335

Real-Time Analysis of Local Wind Patterns for Application to Nuclear-Emergency Response  

Science Conference Proceedings (OSTI)

Pacific Gas and Electric Company (PGandE) has sponsored development of a computer-based system for real-time analysis of local wind measurements in a complex-terrain setting. Mass-consistent modeling of tower- and Doppler-sounder data produces ...

Richard H. Thuillier

1987-09-01T23:59:59.000Z

336

Serious Flaws in Korf et al.'s Analysis on Time Complexity of A*  

E-Print Network (OSTI)

Understanding the effect of a heuristic on the time complexity of the well-known A* search algorithm has been a subject of a large research body in AI. Among those researches is Korf et al.'s analysis (Korf & Reid, 1998; Korf et al., 2001; Korf, 2000a; Korf, 2000b), which concluded that the effect of a heuristic is to reduce the effective depth rather than effective branching factor. Since this conclusion conflicts with both previous analysis and recent analysis by other authors, we try to investigate the causes of such contradictions and finally find out that Korf et al.'s analysis has many serious flaws from which their main conclusion was drawn.

Dinh, Hang

2008-01-01T23:59:59.000Z

337

Using time-frequency and wavelet analysis to assess turbulence/rotor interactions  

DOE Green Energy (OSTI)

Large loading events on wind turbine rotor blades are often associated with transient bursts of coherent turbulent energy in the turbine inflow. These coherent turbulent structures are identified as peaks in the three-dimensional, instantaneous, turbulent shearing stress field. Such organized inflow structures and the accompanying rotor aeroelastic responses typically have time scales of only a few seconds and therefore do not lend themselves for analysis by conventional Fourier spectral techniques. Time-frequency analysis (and wavelet analysis in particular) offers the ability to more closely study the spectral decomposition of short period events such as the interaction of coherent turbulence with a moving rotor blade. In this paper, the authors discuss the initial progress in the application of time-frequency analysis techniques to the decomposition and interpretation of turbulence/rotor interaction. The authors discuss the results of applying both the continuous and discrete wavelet transforms for their application. Several examples are given of the techniques applied to both observed turbulence and turbine responses and those generated using numerical simulations. They found that the presence of coherent turbulent structures, as revealed by the inflow Reynolds stress field, is a major contributor to large load excursions. These bursts of coherent turbulent energy induce a broadband aeroelastic response in the turbine rotor as it passes through them.

Kelley, N.D.; Osgood, R.M.; Bialasiewicz, J.T.; Jakubowski, A.

2000-01-05T23:59:59.000Z

338

Fermilab Lecture Series and Events  

NLE Websites -- All DOE Office Websites (Extended Search)

Academic Lecture Series Academic Lecture Series Neutrino Oscillations Schedule Day Speaker Title Location Time March 18 and 25, 2003 (Tuesday) Andre de Gouvea Introduction to Neutrino Oscillations Curia II 10:30 A.M. - noon April 22 and 29, 2003 (Tuesday) Stephen Parke CP Violation in the Neutrino Sector Curia II 10:30 A.M. - noon May 6, 2003 (Tuesday) Boris Kayser The See Saw, and Neutrino Mixing and Oscillation Curia II 10:30 A.M. - noon May 13, 2002 (Tuesday) Boris Kayser Majorana Neutrinos, Majorana Masses, and Double Beta Decay Curia II 10:30 A.M. - noon May 13, 2002 (Tuesday) Boris Kayser Neutrino Puzzles and Leptogenesis Curia II 10:30 A.M. - noon Lattice QCD and the CKM Matrix: What, Why, and When You Should Believe. A series of four lectures reviewing the status and prospects of Lattice QCD

339

An express analysis of the term vocabulary of a subject area: the dynamics of change over time  

Science Conference Proceedings (OSTI)

Rapid quantitative monitoring of subject area (catalysis) term-base change dynamics over time by analysis of representative collections of texts with a known time reference was developed and tested. An L-gram representation of texts followed ... Keywords: L-gram text analysis, catalysis, development trends, dynamics of changes over time, filtration, term vocabularies (glossaries)

V. D. Gusev; N. V. Salomatina; A. O. Kuzmin; V. N. Parmon

2012-02-01T23:59:59.000Z

340

Series Transmission Line Transformer  

DOE Patents (OSTI)

A series transmission line transformer is set forth which includes two or more of impedance matched sets of at least two transmissions lines such as shielded cables, connected in parallel at one end ans series at the other in a cascading fashion. The cables are wound about a magnetic core. The series transmission line transformer (STLT) which can provide for higher impedance ratios and bandwidths, which is scalable, and which is of simpler design and construction.

Buckles, Robert A. (Livermore, CA); Booth, Rex (Livermore, CA); Yen, Boris T. (El Cerrito, CA)

2004-06-29T23:59:59.000Z

Note: This page contains sample records for the topic "time series analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

SERIES B: Operations Research  

E-Print Network (OSTI)

Tokyo Institute of Technology. SERIES B: Operations ... Department of Computer Science, The University of Electro-Communications,. Chofugaoka, Chofu-Shi ...

342

Nuclear Science Series: Radiochemistry  

NLE Websites -- All DOE Office Websites (Extended Search)

Radiochemistry Nuclear Science Series: Radiochemistry These volumes are publicly accessible via the Library Catalog or the links below. Question? 667-5809 Email Scope This...

343

Modeling and Analysis of Load and Time Dependent Software Rejuvenation Policies  

E-Print Network (OSTI)

Due to repeated and potentially faulty usage of continuously running client-server type software systems by many clients, such software "ages" with time and eventually fails. Huang et. al. proposed a technique called "software rejuvenation" [3] in which the software is periodically stopped and then restarted in a "robust" state after proper maintenance. This "renewal " of software prevents, or at least postpones, the crash failure. In this paper, we present a quantitative analysis of two software rejuvenation policies. The first one considers only the ageing behaviour of the system by time, while the second one considers the actual load of the system as well. The behaviour of the system is represented through a Markov Regenerative Stochastic Petri Net (MRSPN) model. Numerical analysis of the system performance regarding the probability of successful service of clients is provided. Keywords: Continuously running client-server software systems, Software rejuvenation, Markov Regenerati...

S. Garg; A. Pfening; A. Puliafito; M. Telek; K. S. Trivedi

1996-01-01T23:59:59.000Z

344

Security analysis of the time-coding quantum key distribution protocols  

E-Print Network (OSTI)

We report the security analysis of time-coding quantum key distribution protocols. The protocols make use of coherent single-photon pulses. The key is encoded in the photon time-detection. The use of coherent superposition of states allows to detect eavesdropping of the key. We give a mathematical model of a first protocol from which we derive a second, simpler, protocol. We derive the security analysis of both protocols and find that the secure rates can be similar to those obtained with the BB84 protocol. We then calculate the secure distance for those protocols over standard fibre links. When using low-noise superconducting single photon detectors, secure distances over 200 km can be foreseen. Finally, we analyse the consequences of photon-number splitting attacks when faint pulses are used instead of single photon pulses. A decoy states technique can be used to prevent such attacks.

Thierry Debuisschert; Simon Fossier

2011-08-31T23:59:59.000Z

345

Dynamic predication model for integrated series and application  

Science Conference Proceedings (OSTI)

In the paper a predication model for integrated series is proposed. Granger causality analysis is deployed first for finding out the cointegrated series for the interested series. Then granger causality information is used for the identification of the ... Keywords: cointegration series, dynamic prediction, electricity demand, granger causality

Yuan Jia-hai; Zhao Zhi; Xiong Min-peng

2006-11-01T23:59:59.000Z

346

Time-cost analysis of a quantum key distribution system clocked at 100 MHz  

E-Print Network (OSTI)

We describe the realization of a quantum key distribution (QKD) system clocked at 100 MHz. The system includes classical postprocessing implemented via software, and is operated over a 12 km standard telecommunication dark fiber in a real-world environment. A time-cost analysis of the sifted, error-corrected, and secret key rates relative to the raw key rate is presented, and the scalability of our implementation with respect to higher secret key rates is discussed.

Xiaofan Mo; Itzel Lucio Martinez; Philip Chan; Chris Healey; Steve Hosier; Wolfgang Tittel

2011-05-18T23:59:59.000Z

347

Testing time symmetry in time series using data compression dictionaries  

E-Print Network (OSTI)

1978). [12] It is a “pre?x dictionary”: for any codeword w =1 s 2 . . . s L in the dictionary, all pre?xes of w, e.g. ,j ? L are also in the dictionary. Parsing is greedy: search

Kennel, Matthew B

2004-01-01T23:59:59.000Z

348

The Modified Allan Variance as Time-Domain Analysis Tool for Estimating the Hurst Parameter of Long-Range Dependent Traffic  

E-Print Network (OSTI)

Abstract ? Experimental measurements show that Internet traffic exhibits self-similarity and long-range dependence (LRD). A delicate issue is the estimation of traffic statistical quantities that characterize self-similarity and LRD, such as the Hurst parameter H. In this paper, we propose to use the Modified Allan Variance (MAVAR), a well-known time-domain tool originally studied for frequency stability characterization, for estimating the power-law spectrum and thus the H parameter of LRD traffic time series. This novel method is validated by comparison to one of the most widely adopted algorithms for analyzing LRD traffic: the log-scale diagram technique based on wavelet analysis. Both methods are applied to pseudo-random data series, generated with known values of H. MAVAR exhibits outstanding accuracy in estimating H, better than the classical log-scale method. Finally, both techniques are applied to a real IP traffic trace, providing a further example of the capabilities of MAVAR. Index Terms ? Fractals, fractional noise, Internet, long-range dependence, self-similarity, traffic control (communication). Work partialy supported by Ministero dell’Istruzione, dell’Università e della Ricerca (MIUR), Italy, under FIRB project TANGO. I.

Stefano Bregni; Senior Member; Luca Primerano

2004-01-01T23:59:59.000Z

349

Argonne CNM: 2012 Colloquium Series  

NLE Websites -- All DOE Office Websites (Extended Search)

2 Colloquium Series 2 Colloquium Series 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | Date Title Special Colloquium December 13, 2012 "Pathways to Complex Matter Far-Away-From Equilibrium: Developing Spatiotemporal Tools," by Gopal Shenoy, Argonne National Laboratory, hostged by Daniel Lopez Abstract: From the Big Bang to the coming of humankind, every manifestation of nature has exhibited processes far-away-from equilibrium leading to increasingly complex structural orders from geological to atomic length and time scales. Examples include the evolution of galaxies, hurricanes, stars, and planets; prebiotic reactions; cyclical reactions; photosynthesis; and life itself. The organizational spatiotemporal evolution in soft, hard, and biological matter also follows the same path. It begins from a far-from-equilibrium state and develops over time into organizations with length scales between atoms and small molecules on the one hand and mesoscopic matter on the other.

350

Posters Objective Analysis Schemes to Monitor Atmospheric Radiation Measurement Data in Near Real-Time  

NLE Websites -- All DOE Office Websites (Extended Search)

7 7 Posters Objective Analysis Schemes to Monitor Atmospheric Radiation Measurement Data in Near Real-Time M. Splitt University of Oklahoma Norman, Oklahoma Recent work in this area by Charles Wade (1987) lays out the groundwork for monitoring data quality for projects with large networks of instruments such as the Atmospheric Radiation Measurement (ARM) Program. Wade generated objectively analyzed fields of meteorological variables (temperature, pressure, humidity, and wind) and then compared the objectively analyzed value at the sensor location with the value produced by the sensor. Wade used a Barne's objective analysis scheme to produce objective data values for a given meteorological variable (q) in two- dimensional space. The objectively analyzed value should

351

SBOT NAICS Series  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

SBOT NAICS Series 213112 Support Activities for Oil and Gas Operations NATIONAL ENERGY TECHNOLOGY LAB Larry Sullivan (412) 386-6115 larry.sullivan@netl.doe.gov NATIONAL ENERGY...

352

Wavelet Transforms and Ocean Current Data Analysis  

Science Conference Proceedings (OSTI)

The recently advanced approach of wavelet transforms is applied to the analysis of ocean currents. The conventional analyses of time series in the frequency domain can be readily generalized to the frequency.and time domain using wavelet ...

Paul C. Liu; Gerald S. Miller

1996-10-01T23:59:59.000Z

353

FPGA Based Real-time Network Traffic Analysis using Traffic Dispersion Patterns  

SciTech Connect

The problem of Network Traffic Classification (NTC) has attracted significant amount of interest in the research community, offering a wide range of solutions at various levels. The core challenge is in addressing high amounts of traffic diversity found in today's networks. The problem becomes more challenging if a quick detection is required as in the case of identifying malicious network behavior or new applications like peer-to-peer traffic that have potential to quickly throttle the network bandwidth or cause significant damage. Recently, Traffic Dispersion Graphs (TDGs) have been introduced as a viable candidate for NTC. The TDGs work by forming a network wide communication graphs that embed characteristic patterns of underlying network applications. However, these patterns need to be quickly evaluated for mounting real-time response against them. This paper addresses these concerns and presents a novel solution for real-time analysis of Traffic Dispersion Metrics (TDMs) in the TDGs. We evaluate the dispersion metrics of interest and present a dedicated solution on an FPGA for their analysis. We also present analytical measures and empirically evaluate operating effectiveness of our design. The mapped design on Virtex-5 device can process 7.4 million packets/second for a TDG comprising of 10k flows at very high accuracies of over 96%.

Khan, F; Gokhale, M; Chuah, C N

2010-03-26T23:59:59.000Z

354

Natural time analysis of critical phenomena: The case of pre-fracture electromagnetic emissions  

SciTech Connect

Criticality of complex systems reveals itself in various ways. One way to monitor a system at critical state is to analyze its observable manifestations using the recently introduced method of natural time. Pre-fracture electromagnetic (EM) emissions, in agreement to laboratory experiments, have been consistently detected in the MHz band prior to significant earthquakes. It has been proposed that these emissions stem from the fracture of the heterogeneous materials surrounding the strong entities (asperities) distributed along the fault, preventing the relative slipping. It has also been proposed that the fracture of heterogeneous material could be described in analogy to the critical phase transitions in statistical physics. In this work, the natural time analysis is for the first time applied to the pre-fracture MHz EM signals revealing their critical nature. Seismicity and pre-fracture EM emissions should be two sides of the same coin concerning the earthquake generation process. Therefore, we also examine the corresponding foreshock seismic activity, as another manifestation of the same complex system at critical state. We conclude that the foreshock seismicity data present criticality features as well.

Potirakis, S. M. [Department of Electronics, Technological Education Institute (TEI) of Piraeus, 250 Thivon and P. Ralli, Aigaleo, Athens GR-12244 (Greece)] [Department of Electronics, Technological Education Institute (TEI) of Piraeus, 250 Thivon and P. Ralli, Aigaleo, Athens GR-12244 (Greece); Karadimitrakis, A. [Department of Physics, Section of Electronics, Computers, Telecommunications and Control, University of Athens, Panepistimiopolis, Zografos, Athens GR-15784 (Greece)] [Department of Physics, Section of Electronics, Computers, Telecommunications and Control, University of Athens, Panepistimiopolis, Zografos, Athens GR-15784 (Greece); Eftaxias, K. [Department of Physics, Section of Solid State Physics, University of Athens, Panepistimiopolis, Zografos, Athens GR-15784 (Greece)] [Department of Physics, Section of Solid State Physics, University of Athens, Panepistimiopolis, Zografos, Athens GR-15784 (Greece)

2013-06-15T23:59:59.000Z

355

Thomas, J.R. and Clem, A.W, 1991, PWR moderator temperature coefficient via noise analysis: time series methods, Proceedings of SMORNVI, Gatlinburg, 34.01  

E-Print Network (OSTI)

, Nucl. Technology 56:484. Tylee, J.L., 1983, On­line failure detection in nuclear power plant in nuclear power plants, Proceedings of the Topical Meeting on Advances in Human Factors Research on Man networks to the operations of nuclear power plants, Nuclear Safety, 32:68 Upadhyaya, B.R., and Kitamura, M

Pázsit, Imre

356

THE INFLUENCE OF STATE-LEVEL RENEWABLE ENERGY POLICY INSTRUMENTS ON ELECTRICITY GENERATION IN THE UNITED STATES: A CROSS-SECTIONAL TIME SERIES ANALYSIS.  

E-Print Network (OSTI)

??Since the late 1990s, state governments in the U.S. have diversified policy instruments for encouraging the electric power industry to deploy renewable sources for electricity… (more)

Park, Sunjoo

2013-01-01T23:59:59.000Z

357

Biophysical modelling and NDVI time series to project near-term forage supply: spectral analysis aided by wavelet denoising and ARIMA modelling  

Science Conference Proceedings (OSTI)

Point-based biophysical simulation of forage production coupled with 1-km AVHRR NDVI data was used to determine the feasibility of projecting forage conditions 84 days into the future to support stocking decision making for livestock production using ...

M. N. Alhamad; J. Stuth; M. Vannucci

2007-05-01T23:59:59.000Z

358

6.4.4.10. Box-Jenkins Analysis on Seasonal Data  

Science Conference Proceedings (OSTI)

... Time Series Analysis Forecasting and Control (the later edition is Box, Jenkins and Reinsel, 1994) has a discussion on these forecast functions on ...

2012-12-18T23:59:59.000Z

359

Distinguished Lecturers Series  

NLE Websites -- All DOE Office Websites (Extended Search)

Videos Videos Lawrence Berkeley National Laboratory Environmental Energy Technologies Division Distinguished Lecture Series Environmental Energy Technologies Division Distinguished Lecture Series Videos Long Fuse, Big Bang: Thomas Edison, Electricity, and the Locus of Innovation Andrew Hargadon, October 22, 2012 Climate Change Hits Home: Impacts on the Built Environment and Health John Spengler, June 18, 2012 High Comfort-Low Impact, From Buildings to Cities Matthias Schuler, April 30, 2012 Emissions Trading and Climate Finance: Is 2012 the Dead End or the Crossroads? Marc Stuart, January 27, 2012 Advances in Global Climate Modeling for Scientific Understanding and Predictability V. Ramaswamy, October 7, 2011 How is Building Energy Use Related to Occupant Behaviors and Building Usage

360

Distinguished Lecturers Series  

NLE Websites -- All DOE Office Websites (Extended Search)

Past Seminars Past Seminars Lawrence Berkeley National Laboratory Environmental Energy Technologies Division Distinguished Lecture Series Environmental Energy Technologies Division Distinguished Lecture Series Andrew Hargadon October 22, 2012 Long Fuse, Big Bang: Thomas Edison, Electricity, and the Locus of Innovation Andrew Hargadon Charles J. Soderquist Chair in Entrepreneurship Professor of Technology Management at the Graduate School of Management University of California, Davis John Spengler June 18, 2012 Climate Change Hits Home: Impacts on the Built Environment and Health John Spengler Akira Yamaguchi Professor of Environmental Health & Human Habitation Harvard School of Public Health and Director of the Sustainability and Environmental Management Program Harvard Extension School

Note: This page contains sample records for the topic "time series analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Analysis of Wind Power and Load Data at Multiple Time Scales  

NLE Websites -- All DOE Office Websites (Extended Search)

47E 47E ERNEST ORLANDO LAWRENCE BERKELEY NATIONAL LABORATORY Analysis of Wind Power and Load Data at Multiple Time Scales Katie Coughlin and Joseph H. Eto Environmental Energy Technologies Division December 2010 The work described in this report was funded by the Federal Energy Regulatory Commission, Office of Electric Reliability. The Lawrence Berkeley National Laboratory is operated by the University of California for the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. Disclaimer This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the

362

Case study: Visual analysis of complex, time-dependent simulation results of a diesel exhaust system  

E-Print Network (OSTI)

In previous work we have presented visualization techniques that provide engineers with a high degree of interactivity and flexibility for analyzing large, time-dependent, and high-dimensional data sets resulting from CFD (computational fluid dynamics) simulations. In this case study we apply our techniques in the fields of the automotive engineering industry and demonstrate how users benefit from using them during their routine analysis, as well as for exploring new phenomena. For coping with some of the special requirements in this application, we adapted and extended parts of the system. A comparison of two related cases of a diesel exhaust system is presented, and some important questions about these cases are addressed. 1.

Helmut Doleisch; Michael Mayer; Martin Gasser; Helwig Hauser

2004-01-01T23:59:59.000Z

363

Transportation Center Seminar Series presents..... Eric J. Miller, Ph.D.  

E-Print Network (OSTI)

Transportation Center Seminar Series presents..... Eric J. Miller, Ph.D. Director, Cities Centre Transportation - Land Use Policy Analysis ABSTRACT The ILUTE (Integrated Land Use, Transportation, Environment from a known base case to a predicted future year end state in one-year time steps. ILUTE has reached

Bustamante, Fabián E.

364

NIST BUILDING SCIENCE SERIES 180 Database-Assisted Design for Wind  

E-Print Network (OSTI)

framework for analysis and design of buildings for wind loads that makes direct use of pressure timeNIST BUILDING SCIENCE SERIES 180 Database-Assisted Design for Wind: Concepts, Software Database-Assisted Design for Wind: Concepts, Software, and Examples for Rigid and Flexible Buildings Joseph

Magee, Joseph W.

365

The Real-Time Mesoscale Analysis at NOAA’s National Centers for Environmental Prediction: Current Status and Development  

Science Conference Proceedings (OSTI)

In 2006, the National Centers for Environmental Prediction (NCEP) implemented the Real-Time Mesoscale Analysis (RTMA) in collaboration with the Earth System Research Laboratory and the National Environmental, Satellite, and Data Information ...

Manuel S. F. V. De Pondeca; Geoffrey S. Manikin; Geoff DiMego; Stanley G. Benjamin; David F. Parrish; R. James Purser; Wan-Shu Wu; John D. Horel; David T. Myrick; Ying Lin; Robert M. Aune; Dennis Keyser; Brad Colman; Greg Mann; Jamie Vavra

2011-10-01T23:59:59.000Z

366

Space–Time Spectral Analysis of the Southern Hemisphere Daily 500-hPa Geopotential Height  

Science Conference Proceedings (OSTI)

In this paper the authors use the NCEP–Department of Energy (DOE) Reanalysis 2 (NCEP2) data from 1979 to 2004 to expand the daily 500-hPa geopotential height in the Southern Hemisphere (SH, 90°–20°S) into a double Fourier series, and analyze the ...

Cheng Sun; Jianping Li

2012-12-01T23:59:59.000Z

367

A multiprocessor system-on-chip for real-time biomedical monitoring and analysis: architectural design space exploration  

Science Conference Proceedings (OSTI)

In this paper we focus on MPSoC architectures for human heart ECG real-time monitoring and analysis. This is a very relevant bio-medical application, with a huge potential market, hence it is an ideal target for an application-specific SoC implementation. ... Keywords: electrocardiogram algorithms, embedded system design, hardware space exploration, multiprocessor system-on-chip, real-time analysis

Iyad Al Khatib; Francesco Poletti; Davide Bertozzi; Luca Benini; Mohamed Bechara; Hasan Khalifeh; Axel Jantsch; Rustam Nabiev

2006-07-01T23:59:59.000Z

368

A shoe-integrated sensor system for wireless gait analysis and real-time therapeutic feedback  

E-Print Network (OSTI)

Clinical gait analysis currently involves either an expensive analysis in a motion laboratory, using highly accurate, if cumbersome, kinematic systems, or a qualitative analysis with a physician or physical therapist making ...

Morris, Stacy J., 1974-

2004-01-01T23:59:59.000Z

369

Lead Slowing-Down Spectrometry Time Spectral Analysis for Spent Fuel Assay: FY12 Status Report  

SciTech Connect

Executive Summary Developing a method for the accurate, direct, and independent assay of the fissile isotopes in bulk materials (such as used fuel) from next-generation domestic nuclear fuel cycles is a goal of the Office of Nuclear Energy, Fuel Cycle R&D, Material Protection and Control Technology (MPACT) Campaign. To meet this goal, MPACT supports a multi-institutional collaboration, of which PNNL is a part, to study the feasibility of Lead Slowing Down Spectroscopy (LSDS). This technique is an active nondestructive assay method that has the potential to provide independent, direct measurement of Pu and U isotopic masses in used fuel with an uncertainty considerably lower than the approximately 10% typical of today’s confirmatory methods. This document is a progress report for FY2012 PNNL analysis and algorithm development. Progress made by PNNL in FY2012 continues to indicate the promise of LSDS analysis and algorithms applied to used fuel assemblies. PNNL further refined the semi-empirical model developed in FY2011 based on singular value decomposition (SVD) to numerically account for the effects of self-shielding. The average uncertainty in the Pu mass across the NGSI-64 fuel assemblies was shown to be less than 3% using only six calibration assemblies with a 2% uncertainty in the isotopic masses. When calibrated against the six NGSI-64 fuel assemblies, the algorithm was able to determine the total Pu mass within <2% uncertainty for the 27 diversion cases also developed under NGSI. Two purely empirical algorithms were developed that do not require the use of Pu isotopic fission chambers. The semi-empirical and purely empirical algorithms were successfully tested using MCNPX simulations as well applied to experimental data measured by RPI using their LSDS. The algorithms were able to describe the 235U masses of the RPI measurements with an average uncertainty of 2.3%. Analyses were conducted that provided valuable insight with regard to design requirements (e.g. Pb stack size, neutron source location) of an LSDS for the purpose of assaying used fuel assemblies. Sensitivity studies were conducted that provide insight as to how the LSDS instrument can be improved by making it more sensitive to the center of the fuel assemblies. In FY2013, PNNL will continue efforts to develop and refine design requirements of an LSDS for the ultimate purpose of assaying used fuel assemblies. Future efforts will be directed toward more extensive experimental benchmarking of currently implemented time-spectra analysis algorithms.

Kulisek, Jonathan A.; Anderson, Kevin K.; Casella, Andrew M.; Siciliano, Edward R.; Warren, Glen A.

2012-09-28T23:59:59.000Z

370

Lead Slowing-Down Spectrometry Time Spectral Analysis for Spent Fuel Assay: FY12 Status Report  

Science Conference Proceedings (OSTI)

Executive Summary Developing a method for the accurate, direct, and independent assay of the fissile isotopes in bulk materials (such as used fuel) from next-generation domestic nuclear fuel cycles is a goal of the Office of Nuclear Energy, Fuel Cycle R&D, Material Protection and Control Technology (MPACT) Campaign. To meet this goal, MPACT supports a multi-institutional collaboration, of which PNNL is a part, to study the feasibility of Lead Slowing Down Spectroscopy (LSDS). This technique is an active nondestructive assay method that has the potential to provide independent, direct measurement of Pu and U isotopic masses in used fuel with an uncertainty considerably lower than the approximately 10% typical of today’s confirmatory methods. This document is a progress report for FY2012 PNNL analysis and algorithm development. Progress made by PNNL in FY2012 continues to indicate the promise of LSDS analysis and algorithms applied to used fuel assemblies. PNNL further refined the semi-empirical model developed in FY2011 based on singular value decomposition (SVD) to numerically account for the effects of self-shielding. The average uncertainty in the Pu mass across the NGSI-64 fuel assemblies was shown to be less than 3% using only six calibration assemblies with a 2% uncertainty in the isotopic masses. When calibrated against the six NGSI-64 fuel assemblies, the algorithm was able to determine the total Pu mass within Pu isotopic fission chambers. The semi-empirical and purely empirical algorithms were successfully tested using MCNPX simulations as well applied to experimental data measured by RPI using their LSDS. The algorithms were able to describe the 235U masses of the RPI measurements with an average uncertainty of 2.3%. Analyses were conducted that provided valuable insight with regard to design requirements (e.g. Pb stack size, neutron source location) of an LSDS for the purpose of assaying used fuel assemblies. Sensitivity studies were conducted that provide insight as to how the LSDS instrument can be improved by making it more sensitive to the center of the fuel assemblies. In FY2013, PNNL will continue efforts to develop and refine design requirements of an LSDS for the ultimate purpose of assaying used fuel assemblies. Future efforts will be directed toward more extensive experimental benchmarking of currently implemented time-spectra analysis algorithms.

Kulisek, Jonathan A.; Anderson, Kevin K.; Casella, Andrew M.; Siciliano, Edward R.; Warren, Glen A.

2012-09-28T23:59:59.000Z

371

Argonne CNM: Colloquium Series  

NLE Websites -- All DOE Office Websites (Extended Search)

Colloquium Series Colloquium Series The Center for Nanoscale Materials holds a regular biweekly colloquium on alternate Wednesday afternoons at 4:00 p.m. in Bldg. 440, Room A105/106. The goal of the series is to provide a forum for topical multidisciplinary talks in areas of interest to the CNM and also to offer a mechanism for fostering interactions with potential facility users. Refreshments will be served at 3:45. January 15, 2013 "Friction, Brownian Motion, and Energy Dissipation Mechanisms in Adsorbed Molecules and Molecularly Thin Films: Heating, Electrostatic and Magnetic Effects," by Jacquelin Krim, North Carolina State University, hosted by Diana Berman Abstract: In the study of friction at the nanoscale, phononic, electrostatic, conduction electron, and magnetic effects all contribute to the dissipation mechanisms. Electrostatic and magnetic contributions are increasingly alluded to in the current literature, but they remain poorly characterized. I will first overview the nature of these various contribution, and then report on our observations of magnetic and electrostatic contributions to friction for various systems in the presence and absence of external fields. I will also report on the use of a quartz crystal microbalance with a graphene/Ni(111) electrode to probe frictional heating effects in Kr monolayers sliding on the microbalance electrode in response to its oscillatory motion.

372

The U-tube sampling methodology and real-time analysis of geofluids  

Science Conference Proceedings (OSTI)

The U-tube geochemical sampling methodology, an extension of the porous cup technique proposed by Wood [1973], provides minimally contaminated aliquots of multiphase fluids from deep reservoirs and allows for accurate determination of dissolved gas composition. The initial deployment of the U-tube during the Frio Brine Pilot CO{sub 2} storage experiment, Liberty County, Texas, obtained representative samples of brine and supercritical CO{sub 2} from a depth of 1.5 km. A quadrupole mass spectrometer provided real-time analysis of dissolved gas composition. Since the initial demonstration, the U-tube has been deployed for (1) sampling of fluids down gradient of the proposed Yucca Mountain High-Level Waste Repository, Armagosa Valley, Nevada (2) acquiring fluid samples beneath permafrost in Nunuvut Territory, Canada, and (3) at a CO{sub 2} storage demonstration project within a depleted gas reservoir, Otway Basin, Victoria, Australia. The addition of in-line high-pressure pH and EC sensors allows for continuous monitoring of fluid during sample collection. Difficulties have arisen during U-tube sampling, such as blockage of sample lines from naturally occurring waxes or from freezing conditions; however, workarounds such as solvent flushing or heating have been used to address these problems. The U-tube methodology has proven to be robust, and with careful consideration of the constraints and limitations, can provide high quality geochemical samples.

Freifeld, Barry; Perkins, Ernie; Underschultz, James; Boreham, Chris

2009-03-01T23:59:59.000Z

373

Real-Time and Post-Reaction Microscopic Structural Analysis of Biomass Undergoing Pyrolysis  

Science Conference Proceedings (OSTI)

The structural complexity of unprocessed plant tissues used for thermochemical conversion of biomass to fuels and energy impedes heat and mass transfer and may increase the occurrence of tar-forming secondary chemical reactions. At industrial scales, gas and liquid products trapped within large biomass particles may reduce net fuel yields and increase tars, impacting industrial operations and increasing overall costs. Real-time microscopic analysis of poplar (Populus sp.) wood samples undergoing anoxic, pyrolytic heat treatment has revealed a pattern of tissue and macropore expansion and collapse. Post-reaction structural analyses of biomass char (biochar) by light and transmission electron microscopy have provided direct structural evidence of pyrolysis product mass-transfer issues, including trapped pyrolysis products and cell wall compression, and have demonstrated the impact of heat-transfer problems on biomass particles. Finally, microscopic imaging has revealed that pyrolyzed/gasified biochars recovered from a fluidized bed reactor retain a similar pre-reaction basic plant tissue structure as the samples used in this study, suggesting that the phenomena observed here are representative of those that occur in larger scale reactors.

Haas, T. J.; Nimlos, M. R.; Donohoe, B. S.

2009-01-01T23:59:59.000Z

374

Illustration of a New Test for Detecting a Shift in Mean in Precipitation Series  

Science Conference Proceedings (OSTI)

Maronna and Yohai (1978) have introduced a new test for detecting a shift in mean in an independent time series, based on a second correlated series. Unlike other procedures commonly applied to precipitation series, this test is statistically ...

Kenneth W. Potter

1981-09-01T23:59:59.000Z

375

Interlaboratory Validation of EPA 1600 Series Methods: Draft EPA Method 1638 for Analysis of Metals in Water by Inductively Coupled Plasma -- Mass Spectrometry (ICP-MS)  

Science Conference Proceedings (OSTI)

Federal and state permits are requiring wastewater dischargers to monitor for ever lower concentrations of trace metals, in some cases at levels that may preclude reliable measurement. In this joint EPA-EPRI interlaboratory data collection effort, eight laboratories evaluated draft EPA Method 1638: Determination of Trace Elements in Ambient Water by Inductively Coupled Plasma-Mass Spectrometry. This method is intended for the analysis of low levels (parts per trillion) of antimony, cadmium, copper, lead,...

2000-11-27T23:59:59.000Z

376

Near-Real-Time Applications of a Mesoscale Analysis System to Complex Terrain  

Science Conference Proceedings (OSTI)

Several mesoscale data analysis systems are reviewed, of which one is then adapted and applied to the complex terrain of northwest Utah and the western United States. The analysis system relies on the simple, but computationally efficient, ...

Steven M. Lazarus; Carol M. Ciliberti; John D. Horel; Keith A. Brewster

2002-10-01T23:59:59.000Z

377

Essays on Nonparametric Series Estimation with Application to Financial Econometrics  

E-Print Network (OSTI)

This dissertation includes two essays. In the first essay, I proposed an alternative estimator for multivariate densities. This estimator can be characterized as a transformation based estimator. The first stage estimates each marginal density separately. In the second stage, the joint density of estimated marginal cumulative distribution functions (CDF) are approximated by the exponential series estimator. The final estimate is then obtained as the product of the marginal densities and the joint density estimated in the second stage. Extensive Monte Carlo studies show the proposed estimator outperforms kernel estimators in joint density and tail distribution estimation. An illustrative example on estimating the conditional copula density between S & P 500 and FTSE 100 given Hangseng and Nikkei 225 is also discussed. In the second essay, I extended the semiparametric model by Chen and Fan [X. Chen, Y. Fan, Estimation of copula-based semiparametric time series models, Journal of Econometrics 130 (2006) 307-335], and studied a class of univariate copula-based nonparametric stationary Markov models in which the copulas and the marginal distributions are estimated nonparametrically. In particular, I focused on the stationary Markov process of order 1 with continuous state space because it has the beta-mixing property for the analysis of weakly dependent processes. The copula density functions for time series models are approximated by the series estimate on sieve spaces. In this study, a finite dimensional linear space spanned by a sequence of power functions is treated as the sieve space where the estimation space of the copula density function is based. This sieve series estimator can be characterized as the exponential series estimator under mild smoothness conditions. By using the beta-mixing properties, I showed that the copula density function approximated by the exponential series estimator for stationary first-order Markov processes has the same convergence rate as the i.i.d. data. The Monte Carlo simulations show that the proposed estimator outperforms the kernel estimator in the conditional density estimation, except for the Frank copula-based Markov model. In addition, the proposed estimator considerably dominates the the kernel estimator when used in the one-step-ahead forecast.

Chang, Meng-Shiuh

2011-08-01T23:59:59.000Z

378

Hardware support for WCET analysis of hard real-time multicore systems  

Science Conference Proceedings (OSTI)

The increasing demand for new functionalities in current and future hard real-time embedded systems like automotive, avionics and space industries is driving an increase in the performance required in embedded processors. Multicore processors represent ... Keywords: analyzability, cache partitioning, hard real-time, interconnection network, multicore, real-time embedded systems, wcet

Marco Paolieri; Eduardo Quiñones; Francisco J. Cazorla; Guillem Bernat; Mateo Valero

2009-06-01T23:59:59.000Z

379

On the distribution of DNA translocation times in solid-state nanopores: an analysis using Schrodinger's first-passage-time theory  

E-Print Network (OSTI)

In this short note, a correction is made to the recently proposed solution [1] to a 1D biased diffusion model for linear DNA translocation and a new analysis will be given to the data in [1]. It was pointed out [2] by us recently that this 1D linear translocation model is equivalent to the one that was considered by Schrodinger [3] for the Enrenhaft-Millikan measurements [4,5] on electron charge. Here we apply Schrodinger's first-passage-time distribution formula to the data set in [1]. It is found that Schrodinger's formula can be used to describe the time distribution of DNA translocation in solid-state nanopores. These fittings yield two useful parameters: drift velocity of DNA translocation and diffusion constant of DNA inside the nanopore. The results suggest two regimes of DNA translocation: (I) at low voltages, there are clear deviations from Smoluchowski's linear law of electrophoresis [6] which we attribute to the entropic barrier effects; (II) at high voltages, the translocation velocity is a linear function of the applied electric field. In regime II, the apparent diffusion constant exhibits a quadratic dependence on applied electric field, suggesting a mechanism of Taylor dispersion effect likely due the electro-osmotic flow field in the nanopore channel. This analysis yields a dispersion-free diffusion constant value for the segment of DNA inside the nanopore which is in agreement with Stokes-Einstein theory quantitatively. The implication of Schrodinger's formula for DNA sequencing is discussed.

Daniel Y. Ling; X. S. Ling

2013-06-11T23:59:59.000Z

380

Physics for Everyone Lecture Series  

NLE Websites -- All DOE Office Websites (Extended Search)

Physics for Everyone lecture series A non-technical lecture series about Fermilab science and culture Talks take place on Wednesdays each month from 12:30-1:30 p.m. in the...

Note: This page contains sample records for the topic "time series analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Brookhaven Lecture Series | Home  

NLE Websites -- All DOE Office Websites (Extended Search)

Next Brookhaven Lecture Next Brookhaven Lecture JAN 22 Wednesday Brookhaven Lecture "491st Brookhaven Lecture: Juergen Thieme of Photon Sciences Directorate" Presented by Juergen Thieme, Brookhaven Lab's Photon Sciences Directorate 4 pm, Berkner Hall Auditorium Wednesday, January 22, 2014, 4:00 pm Hosted by: Allen Orville Refreshments will be served before and after the lecture. Brookhaven Lectures are free and open to the Public. Visitors to the Laboratory age 16 and older must bring photo ID. About the Brookhaven Lecture Series Gertrude Scharff-Goldhaber Gertrude Scharff-Goldhaber The Brookhaven Lectures, held by and for the Brookhaven staff, are meant to provide an intellectual meeting ground for all scientists of the Laboratory. In this role they serve a double purpose: they are to acquaint

382

3800 Green Series Cost Elements  

Energy.gov (U.S. Department of Energy (DOE))

Stoller - Legacy ManagementSustainable Acquisition (formerly EPP) Program 3800 Series Cost Elements01/30/2012 (Rev. 4)

383

Generalized series of Bessel functions  

Science Conference Proceedings (OSTI)

Known series of Bessel functions, currently available in handbooks, and many of Neumann type, are generalized to arbitrary order. The underlying result is a Poisson formula due to Titchmarsh. This formula gives rise to a Neumann series involving modified ... Keywords: Bessel functions, Neumann series

A. Al-Jarrah; K. M. Dempsey; M. L. Glasser

2002-06-01T23:59:59.000Z

384

Book Series ontos mathematical logic  

E-Print Network (OSTI)

Book Series ontos mathematical logic Information for Authors Edited by Wolfram Pohlers (Münster sheet. The books of this new series will be published in hardcover (except of student handbooks) and will be available for at least ten years. The books of this series will be distributed in Middle Europe by ontos

Schindler, Ralf

385

Analysis of Wind Power and Load Data at Multiple Time Scales  

E-Print Network (OSTI)

29   Appendix A. PJM Windat Multiple Time Scales Appendix A. PJM Wind Data The windpower data for the PJM control area cover the period January

Coughlin, Katie

2011-01-01T23:59:59.000Z

386

Time Synchronization Attack in Smart Grid-Part I: Impact and Analysis  

E-Print Network (OSTI)

Many operations in power grids, such as fault detection and event location estimation, depend on precise timing information. In this paper, a novel Time Synchronization Attack (TSA) is proposed to attack the timing information in smart grid. Since many applications in smart grid utilize synchronous measurements and most of the measurement devices are equipped with global positioning system (GPS) for precise timing, it is highly probable to attack the measurement system by spoofing the GPS. The effectiveness of TSA is demonstrated for three applications of phasor measurement unit (PMU) in smart grid, namely transmission line fault detection, voltage stability monitoring and event locationing. The validity of TSA is demonstrated by numerical simulations.

Zhang, Zhenghao; Dimitrovski, Aleksandar D; Li, Husheng

2012-01-01T23:59:59.000Z

387

Time Stamp Attack in Smart Grid: Physical Mechanism and Damage Analysis  

E-Print Network (OSTI)

Many operations in power grids, such as fault detection and event location estimation, depend on precise timing information. In this paper, a novel time stamp attack (TSA) is proposed to attack the timing information in smart grid. Since many applications in smart grid utilize synchronous measurements and most of the measurement devices are equipped with global positioning system (GPS) for precise timing, it is highly probable to attack the measurement system by spoofing the GPS. The effectiveness of TSA is demonstrated for three applications of phasor measurement unit (PMU) in smart grid, namely transmission line fault detection, voltage stability monitoring and event locationing.

Gong, Shuping; Li, Husheng; Dimitrovski, Aleksandar D

2012-01-01T23:59:59.000Z

388

The Passage of State Fair Employment Legislation, 1945-1964: An Event-History Analysis with Time-Varying and Time-Constant Covariates  

E-Print Network (OSTI)

Innovations: An Event History Analysis. ” American PoliticalKazuo. 1991. Event History Analysis. Newbury Park, CA: Sage.Allison, Paul. 1982. Event History Analysis. Newbury Park:

Chen, Anthony S.

2001-01-01T23:59:59.000Z

389

ESI/Ion Trap/Ion Mobility/Time-of-Flight Mass Spectrometry for Rapid and Sensitive Analysis of  

E-Print Network (OSTI)

discuss a new separation strategy for biomolecules that is based on differences in ion mobilitiesESI/Ion Trap/Ion Mobility/Time-of-Flight Mass Spectrometry for Rapid and Sensitive Analysis* Department of Chemistry, Indiana University, Bloomington, Indiana 47405 An ion trap/ion mobility

Clemmer, David E.

390

Mercury + VisIt: Integration of a Real-Time Graphical Analysis Capability into a Monte Carlo Transport Code  

Science Conference Proceedings (OSTI)

Validation of the problem definition and analysis of the results (tallies) produced during a Monte Carlo particle transport calculation can be a complicated, time-intensive processes. The time required for a person to create an accurate, validated combinatorial geometry (CG) or mesh-based representation of a complex problem, free of common errors such as gaps and overlapping cells, can range from days to weeks. The ability to interrogate the internal structure of a complex, three-dimensional (3-D) geometry, prior to running the transport calculation, can improve the user's confidence in the validity of the problem definition. With regard to the analysis of results, the process of extracting tally data from printed tables within a file is laborious and not an intuitive approach to understanding the results. The ability to display tally information overlaid on top of the problem geometry can decrease the time required for analysis and increase the user's understanding of the results. To this end, our team has integrated VisIt, a parallel, production-quality visualization and data analysis tool into Mercury, a massively-parallel Monte Carlo particle transport code. VisIt provides an API for real time visualization of a simulation as it is running. The user may select which plots to display from the VisIt GUI, or by sending VisIt a Python script from Mercury. The frequency at which plots are updated can be set and the user can visualize the simulation results as it is running.

O'Brien, M J; Procassini, R J; Joy, K I

2009-03-09T23:59:59.000Z

391

A Fast Topological Trigger for Real Time Analysis of Nanosecond Phenomena; Opening the Gamma Ray Window to Our Universe  

SciTech Connect

This work was to enable the development of a proof-of-principle nanosecond trigger system that is designed to perform a real time analysis of fast Cherenkov light flashes from air showers. The basic building blocks of the trigger system have been designed and constructed, and a real world system is now operating in the VERITAS experiment.

Krennrich, Frank [Iowa State University] Iowa State University

2013-09-24T23:59:59.000Z

392

A Real-Time Weather-Adaptive 3DVAR Analysis System for Severe Weather Detections and Warnings  

Science Conference Proceedings (OSTI)

A real-time, weather-adaptive three-dimensional variational data assimilation (3DVAR) system has been adapted for the NOAA Warn-on-Forecast (WoF) project to incorporate all available radar observations within a moveable analysis domain. The key ...

Jidong Gao; Travis M. Smith; David J. Stensrud; Chenghao Fu; Kristin Calhoun; Kevin L. Manross; Jeffrey Brogden; Valliappa Lakshmanan; Yunheng Wang; Kevin W. Thomas; Keith Brewster; Ming Xue

2013-06-01T23:59:59.000Z

393

Location Analysis Model for Belgian Intermodal Terminals: Importance of the value of time in the intermodal transport chain  

Science Conference Proceedings (OSTI)

Intermodal transport, the combination and integration of several transport modes, with the use of loading units, is in most cases more environmentally friendly than unimodal road transport for the carriage of goods. The LAMBIT-model (Location Analysis ... Keywords: Empty returns, GIS network model, Intermodal transport, Value of time

Ethem Pekin; Cathy Macharis; Dries Meers; Piet Rietveld

2013-02-01T23:59:59.000Z

394

Performance analysis of space-time block codes in flat fading MIMO channels with offsets  

Science Conference Proceedings (OSTI)

We consider the effect of imperfect carrier offset compensation on the performance of space-time block codes. The symbol error rate (SER) for orthogonal space-time block code (OSTBC) is derived here by taking into account the carrier offset and the resulting ...

Manav R. Bhatnagar; R. Vishwanath; Vaibhav Bhatnagar

2007-01-01T23:59:59.000Z

395

Analysis on delay-dependent stability for neural networks with time-varying delays  

Science Conference Proceedings (OSTI)

This paper considers the problem of delay-dependent stability criteria for neural networks with time-varying delays. First, by constructing a newly augmented Lyapunov-Krasovskii functional, a less conservative stability criterion is established in terms ... Keywords: Lyapunov method, Neural networks, Stability, Time-varying delays

O. M. Kwon; Ju H. Park; S. M. Lee; E. J. Cha

2013-03-01T23:59:59.000Z

396

Towards Real-Time High Performance Computing For Power Grid Analysis  

SciTech Connect

Real-time computing has traditionally been considered largely in the context of single-processor and embedded systems, and indeed, the terms real-time computing, embedded systems, and control systems are often mentioned in closely related contexts. However, real-time computing in the context of multinode systems, specifically high-performance, cluster-computing systems, remains relatively unexplored. Imposing real-time constraints on a parallel (cluster) computing environment introduces a variety of challenges with respect to the formal verification of the system's timing properties. In this paper, we give a motivating example to demonstrate the need for such a system--- an application to estimate the electromechanical states of the power grid--- and we introduce a formal method for performing verification of certain temporal properties within a system of parallel processes. We describe our work towards a full real-time implementation of the target application--- namely, our progress towards extracting a key mathematical kernel from the application, the formal process by which we analyze the intricate timing behavior of the processes on the cluster, as well as timing measurements taken on our test cluster to demonstrate use of these concepts.

Hui, Peter SY; Lee, Barry; Chikkagoudar, Satish

2012-11-16T23:59:59.000Z

397

Numerical stability analysis of the pseudo-spectral analytical time-domain PIC algorithm  

Science Conference Proceedings (OSTI)

The pseudo-spectral analytical time-domain (PSATD) particle-in-cell (PIC) algorithm solves the vacuum Maxwell@?s equations exactly, has no Courant time-step limit (as conventionally defined), and offers substantial flexibility in plasma and particle ... Keywords: Numerical stability, Particle-in-cell, Pseudo-spectral, Relativistic beam

Brendan B. Godfrey, Jean-Luc Vay, Irving Haber

2014-02-01T23:59:59.000Z

398

Analyzing the Impacts of Frequency and Severity of Forest Fire on the Recovery of Disturbed Forest using Landsat Time Series and EO-1 Hyperion in the Southern Brazilian Amazon  

Science Conference Proceedings (OSTI)

Estimation of fire impacts and forest recovery using remote sensing is difficult because of the heterogeneity of fire history (frequency, severity, and time since last fire) across burned forest landscapes. The authors analyzed impacts of fire ...

Izaya Numata; Mark A. Cochrane; Lênio S. Galvão

2011-05-01T23:59:59.000Z

399

The 8 May 2009 Superderecho: Analysis of a Real-Time Explicit Convective Forecast  

Science Conference Proceedings (OSTI)

Herein, an analysis of a 3-km explicit convective simulation of an unusually intense bow echo and associated mesoscale vortex that were responsible for producing an extensive swath of high winds across Kansas, southern Missouri, and southern ...

Morris L. Weisman; Clark Evans; Lance Bosart

2013-06-01T23:59:59.000Z

400

The LTS timing analysis program : user%3CU%2B2019%3Es manual and description of the methods of analysis.  

SciTech Connect

The LTS Timing Analysis program described in this report uses signals from the Tempest Lasers, Pulse Forming Lines, and Laser Spark Detectors to carry out calculations to quantify and monitor the performance of the the Z-Accelerator's laser triggered SF6 switches. The program analyzes Z-shots beginning with Z2457, when Laser Spark Detector data became available for all lines.

Armstrong, Darrell Jewell; Schwarz, Jens

2013-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "time series analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

Space–Time Characteristics of Light Transmitted through Dense Clouds: A Green's Function Analysis  

Science Conference Proceedings (OSTI)

Here, previous work using photon diffusion theory to describe radiative transfer through dense plane-parallel clouds at nonabsorbing wavelengths is extended. The focus is on the scaling of space- and time-domain moments for transmitted light with ...

Anthony B. Davis; Alexander Marshak

2002-09-01T23:59:59.000Z

402

Case study: visual analysis of complex, time-dependent simulation results of a diesel exhaust system  

Science Conference Proceedings (OSTI)

In previous work we have presented visualization techniques that provide engineers with a high degree of interactivity and flexibility for analyzing large, time-dependent, and high-dimensional data sets resulting from CFD (computational fluid dynamics) ...

Helmut Doleisch; Michael Mayer; Martin Gasser; Roland Wanker; Helwig Hauser

2004-05-01T23:59:59.000Z

403

Examination of a Real-Time 3DVAR Analysis System in the Hazardous Weather Testbed  

Science Conference Proceedings (OSTI)

Forecasters and research meteorologists tested a real-time three-dimensional variational data assimilation (3DVAR) system in the Hazardous Weather Testbed during the springs of 2010-2012 to determine its capabilities to assist in the warning ...

Travis M. Smith; Jidong Gao; Kristin M. Calhoun; David J. Stensrud; Kevin L. Manross; Kiel L. Ortega; Chenghao Fu; Darrel M. Kingfield; Kimberly L. Elmore; Valliappa Lakshmanan; Christopher Riedel

404

Computational image analysis of subcellular dynamics in time-lapse fluorescence microscopy  

E-Print Network (OSTI)

The use of image segmentation and motion tracking algorithms was adapted for analyzing time-lapse data of cells with fluorescently labeled protein. Performance metrics were devised and algorithm parameters were matched to ...

Huang, Austin V., 1980-

2005-01-01T23:59:59.000Z

405

Use of a Real-Time Computer Graphics System in Analysis and Forecasting  

Science Conference Proceedings (OSTI)

Real-time computer graphics systems are being introduced into weather stations throughout the United States. A sample of student forecasters used such a system to solve specific specialized forecasting problems. Results suggest that for some ...

John J. Cahir; John M. Norman; Dale A. Lowry

1981-03-01T23:59:59.000Z

406

Photon-limited time of flight depth acquisition : new parametric model and its analysis  

E-Print Network (OSTI)

As 3-D imaging systems become more popular, the depth estimation which is their core component should be made as accurate as possible at low power levels. In this thesis, we consider the time of flight depth acquisition ...

Montazerhodjat, Vahid

2013-01-01T23:59:59.000Z

407

Discrete-Time Queueing Systems and Their Application to Analysis of Optical-Fiber Communication Networks  

Science Conference Proceedings (OSTI)

A double-bus optical-fiber communication system is studied. The request and transmission buses are modeled by a priority and cyclic queueing system, respectively. Their probabilistic-time characteristics are determined. Theoretical results are compared ...

A. A. Nazarov; S. U. Urazbaeva

2002-12-01T23:59:59.000Z

408

Analysis of Parallel versus Sequential Splittings for Time-Stepping Physical Parameterizations  

Science Conference Proceedings (OSTI)

Various numerical issues concerning different approaches to the time stepping of physical parameterizations in numerical weather prediction (NWP) and climate models are examined. Parallel-split and sequential-split methods are explained and ...

Mark Dubal; Nigel Wood; Andrew Staniforth

2004-01-01T23:59:59.000Z

409

Assessment of Smolt Condition for Travel Time Analysis, 1991-1992 Annual Report.  

Science Conference Proceedings (OSTI)

Regression techniques were used to determine the effects of several biotic and abiotic variables on the migration rates of juvenile spring chinook salmon and steelhead in the Columbia and Snake rivers. Comparisons of the effects of river flow and smoltification, assessed using gill Na{sup +}-K{sup +} ATPase activity, were of primary interest. Day of the year, water temperature, change in flow, condition factor, and fork length were also considered as independent variables. Groups of fish were sampled to assess smoltification 2-3 times per week during the spring outmigrations during 1989-1992. These groups were assumed to be representative of other fish which were PIT-tagged and released as a part of the Smolt Monitoring Program in the Columbia Basin. River flow, gill ATPase activity, condition factor, water temperature, and change in flow were significant variables in regressions predicting the time for juvenile spring chinook salmon to travel between specific points (travel time), whereas river flow was the only significant contributor to models describing travel times of steelhead. Predicted travel times of wild steelhead were shorter than those of hatchery steelhead. River flow was the only variable common to all regression equations. Based on the characteristic, changes in river flow would be the most logical means to decrease travel times of both juvenile spring chinook salmon and steelhead in the Columbia and Snake rivers.

Maule, Alec G.; Beeman, John W.; Schrock, Robin M. (Seattle National Fishery Research Center, Columbia River Field Station, Cook, WA)

1994-05-01T23:59:59.000Z

410

SERI Solar-Energy-Storage Program  

DOE Green Energy (OSTI)

The SERI Solar Energy Storage Program is summarized. The program provides research, systems analysis, and assessments of thermal energy storage and transport in support of the Thermal Energy Storage Program of the DOE Division of Energy Storage Technology; emphasis is on thermal energy storage for solar thermal power and process heat applications and on thermal energy transport. Currently, research is in progress on direct-contact thermal energy storage and thermochemical energy storage and transport. In addition, SERI is directing the definition of new concepts for thermal energy storage and supporting research on thermal energy transport by sensible and latent heat media. SERI is performing systems analyses of thermal energy storage for solar thermal application and coordinating thermal energy storage activities for solar applications.

Wyman, C.E.

1981-08-01T23:59:59.000Z

411

Analysis of oil-pipeline distribution of multiple products subject to delivery time-windows  

E-Print Network (OSTI)

This dissertation defines the operational problems of, and develops solution methodologies for, a distribution of multiple products into oil pipeline subject to delivery time-windows constraints. A multiple-product oil pipeline is a pipeline system composing of pipes, pumps, valves and storage facilities used to transport different types of liquids. Typically, products delivered by pipelines are petroleum of different grades moving either from production facilities to refineries or from refineries to distributors. Time-windows, which are generally used in logistics and scheduling areas, are incorporated in this study. The distribution of multiple products into oil pipeline subject to delivery time-windows is modeled as multicommodity network flow structure and mathematically formulated. The main focus of this dissertation is the investigation of operating issues and problem complexity of single-source pipeline problems and also providing solution methodology to compute input schedule that yields minimum total time violation from due delivery time-windows. The problem is proved to be NP-complete. The heuristic approach, a reversed-flow algorithm, is developed based on pipeline flow reversibility to compute input schedule for the pipeline problem. This algorithm is implemented in no longer than O(T*E) time. This dissertation also extends the study to examine some operating attributes and problem complexity of multiple-source pipelines. The multiple-source pipeline problem is also NP-complete. A heuristic algorithm modified from the one used in single-source pipeline problems is introduced. This algorithm can also be implemented in no longer than O(T*E) time. Computational results are presented for both methodologies on randomly generated problem sets. The computational experience indicates that reversed-flow algorithms provide good solutions in comparison with the optimal solutions. Only 25% of the problems tested were more than 30% greater than optimal values and approximately 40% of the tested problems were solved optimally by the algorithms.

Jittamai, Phongchai

2004-12-01T23:59:59.000Z

412

Real-time collaborative analysis with (almost) pure SQL: a case study in biogeochemical oceanography  

Science Conference Proceedings (OSTI)

We consider a case study using SQL-as-a-Service to support "instant analysis" of weakly structured relational data at a multi-investigator science retreat. Here, "weakly structured" means tabular, rows-and-columns datasets that share some common context, ...

Daniel Halperin; Francois Ribalet; Konstantin Weitz; Mak A. Saito; Bill Howe; E. Virginia Armbrust

2013-07-01T23:59:59.000Z

413

Rainfall Regime of a Mountainous Mediterranean Region: Statistical Analysis at Short Time Steps  

Science Conference Proceedings (OSTI)

This paper presents an analysis of the rainfall regime of a Mediterranean mountainous region of southeastern France. The rainfall regime is studied on temporal scales from hourly to yearly using daily and hourly rain gauge data of 43 and 16 years, ...

Gilles Molinié; Davide Ceresetti; Sandrine Anquetin; Jean Dominique Creutin; Brice Boudevillain

2012-03-01T23:59:59.000Z

414

Instrument Series: Microscopy  

NLE Websites -- All DOE Office Websites (Extended Search)

Quanta 3D FEG Quanta 3D FEG This instrument is now available in EMSL's Radiochemistry Annex. The Quanta 3D FEG is the most versatile high-resolution, low vacuum SEM/FIB for 2D and 3D material characterization and analysis. Featuring three imaging modes - high vacuum, low vacuum and ESEM - it accommodates the widest range of samples of any SEM system. The Quanta 3D FEG's novel, field-emission electron source delivers clear and sharp electron imaging and increased electron beam current enhances EDS and EBSP analysis. This system also offers the capability for in situ study of the dynamic behavior of materials at different humidity levels (up to 100% RH) and temperatures (up to 1500 °C). Quanta 3D FEG's unprecedented high- current FIB enables fast material removal.

415

The utility of accurate mass and LC elution time information in the analysis of complex proteomes  

SciTech Connect

Theoretical tryptic digests of all predicted proteins from the genomes of three organisms of varying complexity were evaluated for specificity and possible utility of combined peptide accurate mass and predicted LC normalized elution time (NET) information. The uniqueness of each peptide was evaluated using its combined mass (+/- 5 ppm and 1 ppm) and NET value (no constraint, +/- 0.05 and 0.01 on a 0-1 NET scale). The set of peptides both underestimates actual biological complexity due to the lack of specific modifications, and overestimates the expected complexity since many proteins will not be present in the sample or observable on the mass spectrometer because of dynamic range limitations. Once a peptide is identified from an LCMS/MS experiment, its mass and elution time is representative of a unique fingerprint for that peptide. The uniqueness of that fingerprint in comparison to that for the other peptides present is indicative of the ability to confidently identify that peptide based on accurate mass and NET measurements. These measurements can be made using HPLC coupled with high resolution MS in a high-throughput manner. Results show that for organisms with comparatively small proteomes, such as Deinococcus radiodurans, modest mass and elution time accuracies are generally adequate for peptide identifications. For more complex proteomes, increasingly accurate measurements are required. However, the majority of proteins should be uniquely identifiable by using LC-MS with mass accuracies within +/- 1 ppm and elution time measurements within +/- 0.01 NET.

Norbeck, Angela D.; Monroe, Matthew E.; Adkins, Joshua N.; Anderson, Kevin K.; Daly, Don S.; Smith, Richard D.

2005-08-01T23:59:59.000Z

416

MOA-TweetReader: real-time analysis in Twitter streaming data  

Science Conference Proceedings (OSTI)

Twitter is a micro-blogging service built to discover what is happening at any moment in time, anywhere in the world. Twitter messages are short, generated constantly, and well suited for knowledge discovery using data stream mining. We introduce MOA-TweetReader, ...

Albert Bifet; Geoffrey Holmes; Bernhard Pfahringer

2011-10-01T23:59:59.000Z

417

Measurement, Analysis and Modeling of real-time Source Data traffic in Factory Communication Systems  

E-Print Network (OSTI)

In the performance evaluation and design of communication systems for distributed automation systems the almost realistic modeling of the data traffic of automation devices plays a decisive part. Therefore the real-time communication behaviour of a high-grade automated installation in the discrete manufacturing is evaluated. Selected communication requirements are analysed and transferred to a analytic model. This model finally is validated.

Juergen Jasperneite; Peter Neumann

2000-01-01T23:59:59.000Z

418

Boosting software fault injection for dependability analysis of real-time embedded applications  

Science Conference Proceedings (OSTI)

The design of complex embedded systems deployed in safety-critical or mission-critical applications mandates the availability of methods to validate the system dependability across the whole design flow. In this article we introduce a fault injection ... Keywords: Embedded systems, fault injection, real-time applications

Gianpiero Cabodi; Marco Murciano; Massimo Violante

2010-12-01T23:59:59.000Z

419

Design trajectory stability analysis for the time-optimal system design algorithm  

Science Conference Proceedings (OSTI)

The operations number was evaluated for different design strategies to select the optimal or quasi-optimal strategy that has the minimal computer time. The general methodology for the system design was elaborated by means of the optimal control theory ... Keywords: Lyapunov function, control theory approach, design trajectory stability, optimal system design

Alexander Zemliak; Eduardo Rios

2005-03-01T23:59:59.000Z

420

A Stability Analysis of Finite-Volume Advection Schemes Permitting Long Time Steps  

Science Conference Proceedings (OSTI)

Finite-volume schemes developed in the meteorological community that permit long time steps are considered. These include Eulerian flux-form schemes as well as fully two-dimensional and cascade cell-integrated semi-Lagrangian (CISL) schemes. A ...

Peter Hjort Lauritzen

2007-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "time series analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Visualization of Electrohydrodynamic Effects and Time Scale Analysis for Impinging Spray Droplets of HFE-7000  

SciTech Connect

Spray cooling is becoming a leading technique for removing excess heat from high heat flux electronics. Electrohydrodynamic effects have been found to result in significant variation in spray behavior once the applied voltage level is increased enough to reach the Rayleigh limit. In the present work the dielectric coolant HFE-7000 has been used to study spray cooling heat transfer across a thick film resistor heater mounted to a 16 mm diameter pedestal. Heater power levels have been varied from 0 to 80 Watts, with spray flow rates varied from 2 GPH to 6 GPH (2.1x10{sup -6} m{sup 3}/s to 6.3x10{sup -6} m{sup 3}/s). Applied voltage levels between 0 kV and 30 kV with both positive and negative polarity have been applied directly to the brass spray nozzle, resulting in contact charging of the spray. A high-speed video camera was used to study behavior of both the impinging spray and the liquid film that formed on the heater surface. The contact charging was observed to lead to electrostatic atomization or 'breakup' of the droplets. Time scale estimates of the various physical processes within the spray and the liquid film based on the average droplet size have indicated that the time between droplet impacts falling into a crater from a previous droplet is the shortest time scale, which will limit the amount of heat transfer that may take place during spray cooling. However, the observed time between large droplet impacts onto the same heater surface location is comparable to the computed time to heat and vaporize a large drop, indicating a new explanation for the onset of spray cooling CHF: localized dryout of the original large droplet impact craters.

Kreitzer, Paul J.; Kuhlman, John M. [Department of Mechanical and Aerospace Engineering West Virginia University, Morgantown, WV 26506-6106 (United States)

2008-01-21T23:59:59.000Z

422

Time Variations of the Superkamiokande Solar Neutrino Flux Data by Rayleigh Power Spectrum Analysis  

E-Print Network (OSTI)

We have used the Rayleigh Power Spectrum Analysis of the solar neutrino flux data from 1) 5-day-long samples from Super-Kamiokande-I detector during the period from June, 1996 to July, 2001; 2) 10 -day-long samples from the same detector during the same period and (3) 45-day long from the same detector during the same period. According to our analysis (1) gives periodicities around 0.25, 23.33, 33.75 and 42.75 months; (2) exhibits periodicities around 0.5, 1.0, 28.17, 40.67 and 52.5 months and (3) shows periodicities around 16.5 and 28.5 months. We have found almost similar periods in the solar flares, sunspot data, solar proton data.

Koushik Ghosh; Probhas Raychaudhuri

2006-06-05T23:59:59.000Z

423

New wavelet-based approach intended for the analysis of subtle features of complex natural signals  

Science Conference Proceedings (OSTI)

The present paper is devoted to the development of methods and algorithms intended for the analysis of complex natural signals (time series). Due to their variability, irregularity and complex structure the task of signal analysis and processing in the ...

O. V. Mandrikova; I. S. Solovjev; V. V. Geppener; D. M. Klionsky

2011-06-01T23:59:59.000Z

424

Jefferson Lab Science Series - Holograms  

NLE Websites -- All DOE Office Websites (Extended Search)

Clocks and Timekeeping Previous Video (Clocks and Timekeeping) Science Series Video Archive Next Video (Which Way is Up?) Which Way is Up? Holograms Mr. Paul Christie - Liti...

425

Assessment of Smolt Condition for Travel Time Analysis, 1990 Annual Report.  

DOE Green Energy (OSTI)

As a part of the Northwest Power Planning Council`s Fish and Wildlife Program, the Fish Passage Center collects information on the migrational characteristics of juvenile salmon and steelhead (Oncorhynchus sp.) in the Columbia River basin. This information is collected through the Smolt Monitoring Program, and is used as a tool in the management and evaluation of the Water Budget. The Water Budget is a volume of water used to enhance environmental conditions (flows) to aid in the seaward migration of juvenile salmon and steelhead. Implicit in the Water Budget concept is that by augmenting flows, travel time of juvenile salmonids will be decreased, thereby increasing survival via reductions in delayed migration and exposure to predators. This study was initiated to (1) provide physiological information about the juvenile salmonids used for these travel time estimates, (2) to analyze the physiological data, and (3) to determine if an ``index`` of smolt condition could be developed to aid in management of the Water Budget.

Beeman, John W.; Rondorf, Dennis W.; Faler, Joyce C. (Seattle National Fishery Research Center, Columbia River Field Station, Cook, WA)

1991-12-01T23:59:59.000Z

426

Time-Limited Aging Analysis Report for the Edwin I. Hatch Nuclear Power Plant  

Science Conference Proceedings (OSTI)

The option to operate a nuclear power plant beyond its initial license term of 40 years is an important factor in financial decisions and long-term planning for utility asset management and capital improvement. Southern Company has submitted an application for the renewal of its operating licenses for the E. I. Hatch Nuclear Power Plant. As part of the application preparation process, Southern Company has reviewed its design and licensing basis for Plant Hatch for time-limited, aging-related assumptions....

2000-04-11T23:59:59.000Z

427

New frac analysis uses real-time information to lower costs, raise  

Science Conference Proceedings (OSTI)

Evolving hydraulic fracturing technology during the past 10 years has led to reduced costs, improved production and increased cash flow. This report describes several critical aspects in hydraulic fracturing including mechanisms, approaches in treatment quality control procedures and stress profile development, and finally, it is shown how the mechanisms or processes can be addressed and improved through advanced, real-time hydraulic fracture treatment evaluation and execution.

Aud, W.W.; Middlebrook, M.L. [Integrated petroleum Technologies Inc., Denver, CO (United States)

1995-08-01T23:59:59.000Z

428

Analysis of time-dependent radiation-induced conductivity in dielectrics and effect on cable SGEMP  

SciTech Connect

Analytic and numerical solutions are presented for a simple time-dependent solid-state band model of radiation-induced conductivity in polyethelene and Teflon. The analytic solution is found to provide insight to physical processes dominant in various intervals of time throughout the radiation pulse. The numerical solution provides a representation for the dose-dependent proportionality factor F(..gamma..), proposed by van Lint et al, used to calculate prompt conductivity from sigma/rho/ = F(..gamma..)..gamma... At high doses, F(..gamma..) is an order of magnitude smaller than at low doses. This decrease of F(..gamma..) is due to bimolecular recombination, an effect apparently not previously reported experimentally. The reduction in F(..gamma..) at high doses is shown to enhance the short circuit current for a cable SGEMP model of residual gaps by a factor of three. In addition, the dose-dependent behavior of F(..gamma..) can significantly alter the shape and time of occurrence of the peak of the waveform of this short circuit current compared to corresponding results for a dose-independent factor.

Shaeffer, D.L.; Siegel, J.M.

1982-12-01T23:59:59.000Z

429

Analysis Of Residence Time Distribution Of Fluid Flow By Axial Dispersion Model  

Science Conference Proceedings (OSTI)

Radioactive tracer {sup 82}Br in the form of KBr-82 with activity {+-} 1 mCi has been injected into steel pipeline to qualify the extent dispersion of water flowing inside it. Internal diameter of the pipe is 3 in. The water source was originated from water tank through which the water flow gravitically into the pipeline. Two collimated sodium iodide detectors were used in this experiment each of which was placed on the top of the pipeline at the distance of 8 and 11 m from injection point respectively. Residence time distribution (RTD) curves obtained from injection of tracer are elaborated numerically to find information of the fluid flow properties. The transit time of tracer calculated from the mean residence time (MRT) of each RTD curves is 14.9 s, therefore the flow velocity of the water is 0.2 m/s. The dispersion number, D/uL, for each RTD curve estimated by using axial dispersion model are 0.055 and 0.06 respectively. These calculations are performed after fitting the simulated axial dispersion model on the experiment curves. These results indicated that the extent of dispersion of water flowing in the pipeline is in the category of intermediate.

Sugiharto [Department of Physics, Faculty of Mathematics and Natural Sciences, Bandung Institute of Technology, Jl. Ganesha 10, Bandung 40132 (Indonesia); Centre for Applications of Isotopes and Radiation Technology-National Nuclear Energy Agency, Jl. Lebak Bulus Raya No. 49, Jakarta 12440 (Indonesia); Su'ud, Zaki; Kurniadi, Rizal; Waris, Abdul [Centre for Applications of Isotopes and Radiation Technology-National Nuclear Energy Agency, Jl. Lebak Bulus Raya No. 49, Jakarta 12440 (Indonesia); Abidin, Zainal [Department of Physics, Faculty of Mathematics and Natural Sciences, Bandung Institute of Technology, Jl. Ganesha 10, Bandung 40132 (Indonesia)

2010-12-23T23:59:59.000Z

430

Time Scales and Variability of Area-Averaged Tropical Oceanic Rainfall  

Science Conference Proceedings (OSTI)

A statistical analysis of time series of area-averaged rainfall over the oceans has been conducted around the diurnal time scale. The results of our analysis can be applied directly to the problem of establishing the magnitude of expected errors ...

Kyung-Sup Shin; Gerald R. North; Yoo-Shin Ahn; Phillip A. Arkin

1990-07-01T23:59:59.000Z

431

Analysis of a metallic nano-rod polarizer using finite-difference-time-domain method  

E-Print Network (OSTI)

The polarization behavior of metallic nano-rods has been analyzed by means of the finite-difference-time-domain method. When the average spacing between the nano-rods is less than a half wavelength, the layer reflects the light polarized parallel to the nano-rods, as in a nano-slit. However, when the spacing is larger than a half wavelength, the metallic surface absorbs the light, polarized perpendicular to the rods, leading to a polarization reversal. Multiple layers of nano-rods can make a polarizer with a high extinction ratio and good transmittance.

Ju, Young-Gu

2010-01-01T23:59:59.000Z

432

Marcellus Shale Educational Webinar Series  

E-Print Network (OSTI)

#12;Marcellus Shale Litigation and Legislation December 17, 2009 7 . Pennsylvania Oil and Gas Law1 Marcellus Shale Educational Webinar Series October 2009 - March 2010 Penn State Cooperative Extension #12;2 Marcellus Shale Webinar Series Planning Committee · Members ­ Mark Douglass, Jefferson

Boyer, Elizabeth W.

433

Assessment of Smolt Condition for Travel Time Analysis, 1989 Annual Report.  

DOE Green Energy (OSTI)

The Water Budget is a volume of water used to enhance environmental conditions (flows) in the Columbia and Snake rivers for juvenile salmonids during their seaward migration. To manage the Water Budget, the Fish Passage Center estimates travel times of juvenile salmonids in index reaches of the main-stem rivers, using information on river flows and the migrational characteristics of the juvenile salmonids. This study was initiated to provide physiological information on the juvenile salmonids used for these travel time estimates. The physiological ability to respond to stressors was evaluated by measuring concentrations of plasma cortisol, glucose, and chlorides before and after a 30-s handling-stress challenge test. The development of smoltification was assessed by measuring gill Na{sup +}--K{sup +} ATPase activity and plasma thyroxine concentrations. Prevalence of bacterial kidney disease in spring chinook salmon was generally higher than in 1988, ranging from 81--100{percent} using an enzyme-linked immunosorbent assay (ELISA) method. Fish from Snake River hatcheries had more severe infections than those from mid-Columbia hatcheries. 42 refs., 19 figs., 4 tabs.

Beeman, John W.; Rondorf, Dennis W.; Faler, Joyce C. (Seattle National Fishery Research Center, Columbia River Field Station, Cook, WA)

1990-11-01T23:59:59.000Z

434

Analysis of Trade-Off Between Power Saving and Response Time in Disk Storage Systems  

Science Conference Proceedings (OSTI)

It is anticipated that in the near future disk storage systems will surpass application servers and will become the primary consumer of power in the data centers. Shutting down of inactive disks is one of the more widespread solutions to save power consumption of disk systems. This solution involves spinning down or completely shutting off disks that exhibit long periods of inactivity and placing them in standby mode. A file request from a disk in standby mode will incur an I/O cost penalty as it takes time to spin up the disk before it can serve the file. In this paper, we address the problem of designing and implementing file allocation strategies on disk storage that save energy while meeting performance requirements of file retrievals. We present an algorithm for solving this problem with guaranteed bounds from the optimal solution. Our algorithm runs in O(nlogn) time where n is the number of files allocated. Detailed simulation results and experiments with real life workloads are also presented.

Otoo, Ekow J; Rotem, Doron; Tsao, Shih-Chiang

2009-02-03T23:59:59.000Z

435

A liquidity-weighted GARCH model for empirical equity series  

Science Conference Proceedings (OSTI)

This paper develops a new GARCH-family model (named Liquidity-Weighted GARCH or LW-GARCH) for explaining the volatility behaviour of financial time series, with an application on empirical international equity series (consisting both of stock market ... Keywords: ARCH-LM test, Granger causality test, conditional volatility, empirical equity returns, liquidity-weighted GARCH

Cristiana Tudor

2011-07-01T23:59:59.000Z

436

Time-Distance analysis of the Emerging Active Region NOAA 10790  

E-Print Network (OSTI)

We investigate the emergence of Active Region NOAA 10790 by means of time--distance helioseismology. Shallow regions of increased sound speed at the location of increased magnetic activity are observed, with regions becoming deeper at the locations of sunspot pores. We also see a long-lasting region of decreased sound speed located underneath the region of the flux emergence, possibly relating to a temperature perturbation due to magnetic quenching of eddy diffusivity, or to a dense flux tube. We detect and track an object in the subsurface layers of the Sun characterised by increased sound speed which could be related to emerging magnetic flux and thus obtain a provisional estimate of the speed of emergence of around $1 {\\rm km s^{-1}}$.

S. Zharkov; M. J. Thompson

2008-07-18T23:59:59.000Z

437

Nonequilibrium time evolution of higher order cumulants of conserved charges and event-by-event analysis  

E-Print Network (OSTI)

We investigate the time evolution of higher order cumulants of conserved charges in a volume with the diffusion master equation. Applying the result to the diffusion of non-Gaussian fluctuations in the hadronic stage of relativistic heavy ion collisions, we show that the fourth-order cumulant of net-electric charge at LHC energy is suppressed compared with the recently observed second-order cumulant at ALICE, if the higher order cumulants at hadronization are suppressed compared with their values in the hadron phase in equilibrium. The significance of the experimental information on the rapidity window dependence of various cumulants in investigating the history of the dynamical evolution of the hot medium created in relativistic heavy ion collisions is emphasized.

Masakiyo Kitazawa; Masayuki Asakawa; Hirosato Ono

2013-07-11T23:59:59.000Z

438

Competitive Ratio Analysis of Online Algorithms to Minimize Data Transmission Time in Energy Harvesting Communication System  

E-Print Network (OSTI)

We consider the optimal online packet scheduling problem in a single-user energy harvesting wireless communication system, where energy is harvested from natural renewable sources, making future energy arrivals instants and amounts random in nature. The most general case of arbitrary energy arrivals is considered where neither the future energy arrival instants or amount, nor their distribution is known. The problem considered is to adaptively change the transmission rate according to the causal energy arrival information, such that the time by which all packets are delivered is minimized. We assume that all bits have arrived and are ready at the source before the transmission begins. For a minimization problem, the utility of an online algorithm is tested by finding its competitive ratio or competitiveness that is defined to be the maximum of the ratio of the gain of the online algorithm with the optimal offline algorithm over all input sequences. We derive a lower and upper bound on the competitive ratio of...

Vaze, Rahul

2011-01-01T23:59:59.000Z

439

Apparatus for real-time airborne particulate radionuclide collection and analysis  

DOE Patents (OSTI)

An improved apparatus for collecting and analyzing an airborne particulate radionuclide having a filter mounted in a housing, the housing having an air inlet upstream of the filter and an air outlet downstream of the filter, wherein an air stream flows therethrough. The air inlet receives the air stream, the filter collects the airborne particulate radionuclide and permits a filtered air stream to pass through the air outlet. The improvement which permits real time counting is a gamma detecting germanium diode mounted downstream of the filter in the filtered air stream. The gamma detecting germanium diode is spaced apart from a downstream side of the filter a minimum distance for a substantially maximum counting detection while permitting substantially free air flow through the filter and uniform particulate radionuclide deposition on the filter.

Smart, John E. (West Richland, WA); Perkins, Richard W. (Richland, WA)

2001-01-01T23:59:59.000Z

440

Whitehall Report Series  

E-Print Network (OSTI)

About the Programme The Nuclear Analysis Programme at RUSI carries out comprehensive research projects, convenes expert discussions and holds public conferences on various contemporary aspects of nuclear non-proliferation, security and disarmament. The programme’s primary research areas are on national and international nuclear policy and strategy, with particular attention paid to perspectives in the Asia-Pacific region, tactical nuclear weapons in Europe and the future of global disarmament efforts. About RUSI The Royal United Services Institute (RUSI) is an independent think tank engaged in cutting edge defence and security research. A unique institution, founded in 1831 by the Duke of Wellington, RUSI embodies nearly two centuries of forward thinking, free discussion and careful reflection on defence and security matters. For more information, please visit: www.rusi.org About Whitehall Reports Most Whitehall Reports are available as part of a membership package, or individually at £10.00 plus p&p (£1.00 in the UK/£2.00 overseas). Orders should be sent to the Membership Administrator, RUSI Membership Office, Whitehall, London, SW1A 2ET, United Kingdom and cheques made payable to RUSI. Orders can also be made via the website or by quoting credit card details via

Edited Hugh Chalmers; Malcolm Chalmers; Andrea Berger

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "time series analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Kinetic Analysis of Cation Exchange in Birnessite using Time-resolved Synchrotron X-ray Diffraction  

SciTech Connect

In this study, we applied time-resolved synchrotron X-ray diffraction (TRXRD) to develop kinetic models that test a proposed two-stage reaction pathway for cation exchange in birnessite. These represent the first rate equations calculated for cation exchange in layered manganates. Our previous work has shown that the substitution of K, Cs, and Ba for interlayer Na in synthetic triclinic birnessite induces measurable changes in unit-cell parameters. New kinetic modeling of this crystallographic data supports our previously postulated two-stage reaction pathway for cation exchange, and we can correlate the kinetic steps with changes in crystal structure. In addition, the initial rates of cation exchange, R ({angstrom}{sup 3} min{sup -1}), were determined from changes in unit-cell volume to follow these rate laws: R = 1.75[K{sup +}{sub (aq)}]{sup 0.56}, R = 41.1[Cs{sup +}{sub (aq)}]{sup 1.10}, R = 1.15[Ba{sup 2+}{sub (aq)}]{sup 0.50}. Thus, the exchange rates for Na in triclinic birnessite decreased in the order: Cs >> K > Ba. These results are likely a function of hydration energy differences of the cations and the preference of the solution phase for the more readily hydrated cation.

C Lopano; P Heaney; J Bandstra; J Post; S Brantley

2011-12-31T23:59:59.000Z

442

Finite-key analysis of high-dimensional time-energy entanglement-based quantum key distribution  

E-Print Network (OSTI)

We present a security analysis against collective attacks for the recently proposed time-energy entanglement-based quantum key distribution protocol, given the practical constraints of single photon detector efficiency, channel loss, and finite-key considerations. We find a positive secure-key capacity when the key length increases beyond $10^4$ for eight-dimensional systems. The minimum key length required is reduced by the ability to post-select on coincident single-photon detection events. Including finite-key effects, we show the ability to establish a shared secret key over a 200 km fiber link.

Catherine Lee; Jacob Mower; Zheshen Zhang; Jeffrey H. Shapiro; Dirk Englund

2013-11-05T23:59:59.000Z

443

Remote data access and analysis using SciDB  

E-Print Network (OSTI)

SciDB is an innovative data analysis system that provides fast querying and manipulation of large amounts of time-series, scientific data. This thesis describes the design of a framework that provides a user interface to ...

Anderson, Alan M., M. Eng. Massachusetts Institute of Technology

2012-01-01T23:59:59.000Z

444

Complex Network Approach to the Statistical Features of the Sunspot Series  

E-Print Network (OSTI)

Complex network approaches have been recently developed as an alternative framework to study the statistical features of time-series data. We perform a visibility-graph analysis on both the daily and monthly sunspot series. Based on the data, we propose two ways to construct the network: one is from the original observable measurements and the other is from a negative-inverse-transformed series. The degree distribution of the derived networks for the strong maxima has clear non-Gaussian properties, while the degree distribution for minima is bimodal. The long-term variation of the cycles is reflected by hubs in the network which span relatively large time intervals. Based on standard network structural measures, we propose to characterize the long-term correlations by waiting times between two subsequent events. The persistence range of the solar cycles has been identified over 15\\,--\\,1000 days by a power-law regime with scaling exponent $\\gamma = 2.04$ of the occurrence time of the two subsequent and successive strong minima. In contrast, a persistent trend is not present in the maximal numbers, although maxima do have significant deviations from an exponential form. Our results suggest some new insights for evaluating existing models. The power-law regime suggested by the waiting times does indicate that there are some level of predictable patterns in the minima.

Yong Zou; Michael Small; Zonghua Liu; Jürgen Kurths

2013-07-24T23:59:59.000Z

445

Shale Webinar Series to Start September 13th The Penn State Marcellus Education Team will be offering a new monthly Shale webinar series beginning  

E-Print Network (OSTI)

Shale Webinar Series to Start September 13th The Penn State Marcellus Education Team will be offering a new monthly Shale webinar series beginning Thursday, September 13th from 1:00 to 2:00 PM. Tom the series with an overview of trends and updates on shale development. Tom will provide an analysis of shale

446

Multi-site magnetotelluric measurement system with real-time data analysis. Final technical report No. 210  

DOE Green Energy (OSTI)

A magnetotelluric measurement system has been designed to provide a more cost effective electrical method for geothermal and mineral exploration. The theoretical requirements and sensitivities of the magnetotelluric inversion process were specifically addressed in determining system performance requirements. Significantly reduced instrument noise levels provide improved data quality, and simultaneous measurement at up to six locations provides reduced cost per site. Remotely located, battery powered, instrumentation packages return data to a central controlling site through a 2560 baud wire-line or radio link. Each remote package contains preamplifiers, data conditioning filters, and a 12-bit gain ranging A-D converter for frequencies from 0.001 Hz to 8 Hz. Data frequencies above 8 Hz are processed sequentially by a heterodyne receiver to reduce bandwidth to within the limits of the 2560 baud data link. The central data collection site provides overall control for the entire system. The system operator interacts with the system through a CRT terminal, and he receives hard copy from a matrix graphics printer. Data from the remote packages may be recorded in time sequence on a magnetic tape cartridge system, or an optional Hewlett-Packard 21MX minicomputer can be used to perform real-time frequency analysis. The results of this analysis provide feedback to the operator for improved evaluation of system performance and for selection of future measurement sites.

Becker, J.D.; Bostick, F.X. Jr.; Smith, H.W.

1981-09-01T23:59:59.000Z

447

Learning from Time Series in the Resource-Limited Situations  

E-Print Network (OSTI)

join example on a butter?y data set. The similarity measureand texture into consideration. Data set A is for drawingsof butter?ies and data set B is for real pictures. Every

Ye, Lexiang

2010-01-01T23:59:59.000Z

448

Learning from Time Series in the Resource-Limited Situations  

E-Print Network (OSTI)

turns the estimated utility of adding list P [a i ]. Thislist, ranked from 1 to n, we assign them the minimum utilitylist P [a i ] to the existing table, and returns the highest utility

Ye, Lexiang

2010-01-01T23:59:59.000Z

449

BIOINFORMATICS Inferring Gene Regulatory Networks from Time Series  

E-Print Network (OSTI)

Translational Genomics Research Institute, 400 North Fifth Street, Suite 1600, Phoenix, Arizona 85004, U results, the future research directions are also outlined. 2 SYSTEMS AND METHODS 2.1 Genetic Network and regulates myosin alkali light chain1 (mlc1), myosin heavy chain (mhc), myosin 61F (myo61F), paramyosin (prm

Babu, M. Madan

450

Inferring definite-clause grammars to express multivariate time series  

Science Conference Proceedings (OSTI)

In application domains such as medicine, where a large amount of data is gathered, a medical diagnosis and a better understanding of the underlying generating process is an aim. Recordings of temporal data often afford an interpretation of the underlying ...

Gabriela Guimaräes; Luís Moniz Pereira

2005-06-01T23:59:59.000Z

451

On Modeling and Forecasting Time Series of Smooth Curves  

E-Print Network (OSTI)

/fertility rate curves (Hyndman and Ullah, 2007; Erbas et al., 2007). Other examples include electricity system the rates are unobservable; hence one needs to forecast future rate profiles based on historical call of telephone customer service centers, where forecasts of daily call arrival rate profiles are needed

Shen, Haipeng

452

Multivariate Spatio-Temporal Clustering of Times-Series Data...  

NLE Websites -- All DOE Office Websites (Extended Search)

ARM observation network. Additional information, including color figures and 3-D animations, is available at http:climate.ornl.gov. Corresponding Author F. M. Hoffman,...

453

Jackknife Tests for Differences in Autocorrelation between Climate Time Series  

Science Conference Proceedings (OSTI)

Two tests for differences in the lag 1 autocorrelation coefficient based on jackknife estimates are proposed. These tests are developed for the pooled sample of all daily values in a certain calendar mouth (e.g., all January data). Jackknife ...

T. A. Buishand; J. J. Beersma

1993-12-01T23:59:59.000Z

454

Growth, Cycles and Convergence in US Regional Time Series  

E-Print Network (OSTI)

;i UL?t|@?|t #16;? #17; UL?|@#16;? #16;?uLh4@|#16;L? L? |#4;i UL44L? t*LTic qc @?_ L? |#4;i _#16;gihi?Uit #16;? |#4;i *i#15;i*t Lu |#4;i tih#16;itc @t UL?|@#16;?i_ #16;? |#4;i #15;iU|Lh #14;#21; A#4;iti _#16;gihi?Uit 4#16;}#4;| Mi T@h@4i|ih#16;ti_ #22... ;#16;|#4; _h#16;u|c qc @?_ #16;u #14; #16;t _i??i_ t#3;U#4; |#4;@| #14; #30; ! ’ fc i@U#4; i*i4i?| Lu #14; #16;t @ _i#15;#16;@|#16;L? uhL4 |#4;i UL44L? |hi?_#21; N?LMtih#15;i_ UL4TL?i?|t 4L_i*t A#4;i 4L_i* #16;? Ee#28; 4@) Mi i |i?_i_ tL @t |L #16;?U*#3;_i U...

Carvalho, Vasco; Harvey, Andrew C

2004-06-16T23:59:59.000Z

455

Transient signal detection using GPS position time series  

E-Print Network (OSTI)

Continuously operating Global Positioning System (GPS) networks record station position changes with millimeter-level accuracy and have revealed transient deformations on various spatial and temporal scales. However, the ...

Ji, Kang Hyeun

2011-01-01T23:59:59.000Z

456

Time series models with an EGB2 conditional distribution  

E-Print Network (OSTI)

; ut = p 2 j#15;tj #0; 1 and, when #24; = & !1; ut = #15;2t #0; 1: Figure 7 compares the way observations are weighted by the score of a EGB2 distribution with #24; = & = 0:5; a Student?s t7 distribution and a GED(1:148). These are the same... (39) by #15;t gives a bounded function as j#15;tj ! 1: The following result, which is related to Lemma 1 of Harvey (2013, p23), is useful for deriving the asymptotic properties of the maximum likelihood estimator. Proposition 3 If #15;t #24; EGB2(0; 1...

Harvey, Andrew; Caivano, Michele

2013-07-17T23:59:59.000Z

457

CDIAC::Carbon Emission::Time Series Data  

NLE Websites -- All DOE Office Websites (Extended Search)

back to 1751. Etemad et al. (1991) published a summary compilation that tabulates coal, brown coal, peat, and crude oil production by nation and year. Footnotes in the Etemad...

458

Stochastic Simulation Methods for Precipitation and Streamflow Time Series  

E-Print Network (OSTI)

One major acknowledged challenge in daily precipitation is the inability to model extreme events in the spectrum of events. These extreme events are rare but may cause large losses. How to realistically simulate extreme behavior of daily precipitation is necessary and important. To that end, a hybrid probability distribution is developed. The logic of this distribution is to simulate the low to moderate values by an exponential distribution and extremes by a generalized Pareto distribution. Compared with alternatives, the developed hybrid distribution is capable of simulating the entire range of precipitation amount and is much easier to use. The hybrid distribution is then used to construct a bivariate discrete-continuous mixed distribution, which is used for building a daily precipitation generator. The developed generator can successfully reproduce extreme events. Compared with other widely used generators, the most important advantage of the developed generator is that it is apt at extrapolating values significantly beyond the upper range of observed data. The major challenge in monthly streamflow simulation is referred to the underrepresentation of inter-annual variability. The inter-annual variability is often related with sustained droughts or periods of high flows. Preserving inter-annual variability is thus of particular importance for the long-term management of water resources systems. To that end, variables conveying such inter-annual signals should be used as covariates. This requires models that must be flexible at incorporating as many covariates as necessary. Keeping this point in mind, a joint conditional density estimation network is developed. Therein, the joint distribution of streamflows of two adjacent months is assumed to follow a specific parametric family. Parameters of the distribution are estimated by an artificial neural network. Due to the seasonal concentration of precipitation or the joint effect of rainfall and snowmelt, monthly streamflow distribution sometimes may exhibit a bimodal shape. To reproduce bimodality, nonparametric models are often preferred. However, the simulated sequences from existing nonparametric models represent too close a resemblance to historical record. To address this issue, while retaining typical merits of nonparametric models, a multi-model regression-sampling algorithm with a few weak assumptions is developed. Collecting hydrometric data is the first step for building hydrologic models, and for planning, design, operation, and management of water resource systems. In this dissertation, an entropy-theory-based criterion, termed maximum information minimum redundancy, is proposed for hydrometric monitoring network evaluation and design. Compared with existing similar approaches, the criterion is apt at finding stations with high information content, and locating independent stations.

Li, Chao

2013-05-01T23:59:59.000Z

459

Forecasting Time Series Subject to Multiple Structural Breaks  

E-Print Network (OSTI)

Suhglfwlrqv duh iruphg e| lqwhjudwlqj ryhu wkh k|shu sdudphwhuv iurp wkh phwd glvwulexwlrqv wkdw fkdudfwhul}h wkh vwrfkdv0 wlf euhdn srlqw surfhvv1 Lq dq dssolfdwlrq wr XV Wuhdvxu| eloo udwhv/ zh #31;qg wkdw wkh phwkrg ohdgv wr ehwwhu rxw0ri0vdpsoh iruhfdvwv...

Pesaran, M Hashem; Pettenuzzo, Davide; Timmermann, Allan

460

Estimating Higher-Order Moments of Nonlinear Time Series  

Science Conference Proceedings (OSTI)

This study extends the authors’ earlier work that addresses the importance of bootstrap methods in computing statistical characteristics of meteorological and climatological datasets. Subsampling confidence intervals for the skewness and kurtosis ...

Alexander Gluhovsky; Ernest Agee

2009-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "time series analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

Computer system performance problem detection using time series models  

Science Conference Proceedings (OSTI)

Computer systems require monitoring to detect performance anomalies such as runaway processes, but problem detection and diagnosis is a complex task requiring skilled attention. Although human attention was never ideal for this task, as networks of computers ...

Peter Hoogenboom; Jay Lepreau

1993-06-01T23:59:59.000Z

462

CDIAC::Carbon Emission::Time Series USA Data  

NLE Websites -- All DOE Office Websites (Extended Search)

Estimates of monthly carbon dioxide emissions and associated 13C values from fossil-fuel consumption in the U.S.A. In Trends: A Compendium of Data on Global Change Carbon...

463

Jefferson Lab Science Series - Science Series Video Archive  

NLE Websites -- All DOE Office Websites (Extended Search)

Science Series Video Archive Science Series Video Archive Couldn't make it to the last Science Series lecture? Did you like a lecture so much that you just had to see it again? Not to worry! Past lectures are now available on demand! The Higgs Boson and Our Life The Higgs Boson and Our Life On July 4th, 2012, the ATLAS and CMS experiments operating at the CERN Large Hadron Collider (LHC) announced the discovery of a new particle compatible with the Higgs boson (hunted for almost 50 years), which is a crucial piece for our understanding of fundamental physics and thus the structure and evolution of the universe. This lecture describes the unprecedented instruments and challenges that have allowed such an accomplishment, the meaning and relevance of this discovery to physics... April 30, 2013

464

Fermilab Arts & Lecture Series Tickets  

NLE Websites -- All DOE Office Websites (Extended Search)

Ticket Information Ticket Information On-Line Tickets On-Line ticketing is now available! Click here to be connected to our secure on-line ticketing site. Please note that on-line ticketing for any particular event closes down the Friday prior to the event at noon. For example, a Friday night lecture has on-line sales ending at noon; on-line sales for a given Saturday night Art Series event will end at noon the Friday prior; and sales for a Sunday afternoon Gallery Chamber Series event will end at noon the Friday prior. Please present an ID to pick up student tickets. Telephone For information and tickets you may also call 630-840-ARTS (630-840-2787), or Fax to (630) 840-5501. An answering machine will take your confidential message during times that the box office manager is not available.

465

SERIES  

E-Print Network (OSTI)

Abstract: There is a growing interest in relating agent-based models to realworld locations by combining them with geographical information systems (GIS) which can be seen with the proliferation of geosimulation models in recent years. This coincides with the proliferation of digital data both in the two and three dimensions allowing one to construct detailed and extensive feature rich and highly visual 3D city models. This paper explores some of these developments in relation to our own initial work on building 3D geospatial agent-based models of urban systems and the technologies that allow for such models to be created. Furthermore, we highlight some techniques for the creation of 3D agent-based models and stress that such models are not a substitute to good models. 1 1

A. T. Crooks; A. Hudson-smith; A Patel

2010-01-01T23:59:59.000Z

466

SERI advanced wind turbine blades  

DOE Green Energy (OSTI)

The primary goal of the Solar Energy Research Institute`s (SERI) advanced wind turbine blades is to convert the kinetic energy in the wind into mechanical energy in an inexpensive and efficient manner. To accomplish this goal, advanced wind turbine blades have been developed by SERI that utilize unique airfoil technology. Performance characteristics of the advanced blades were verified through atmospheric testing on fixed-pitch, stall-regulated horizontal-axis wind turbines (HAWTs). Of the various wind turbine configurations, the stall-regulated HAWT dominates the market because of its simplicity and low cost. Results of the atmospheric tests show that the SERI advanced blades produce 10% to 30% more energy than conventional blades. 6 refs.

Tangler, J.; Smith, B.; Jager, D.

1992-02-01T23:59:59.000Z

467

SERI advanced wind turbine blades  

DOE Green Energy (OSTI)

The primary goal of the Solar Energy Research Institute's (SERI) advanced wind turbine blades is to convert the kinetic energy in the wind into mechanical energy in an inexpensive and efficient manner. To accomplish this goal, advanced wind turbine blades have been developed by SERI that utilize unique airfoil technology. Performance characteristics of the advanced blades were verified through atmospheric testing on fixed-pitch, stall-regulated horizontal-axis wind turbines (HAWTs). Of the various wind turbine configurations, the stall-regulated HAWT dominates the market because of its simplicity and low cost. Results of the atmospheric tests show that the SERI advanced blades produce 10% to 30% more energy than conventional blades. 6 refs.

Tangler, J.; Smith, B.; Jager, D.

1992-02-01T23:59:59.000Z

468

Fine Structure of Cloud Droplet Concentration as Seen from the Fast-FSSP Measurements. Part I: Method of Analysis and Preliminary Results  

Science Conference Proceedings (OSTI)

A statistical analysis of a series of droplet arrival times measured by the Fast Forward-Scattering Spectrometer Probe (FSSP) during aircraft flights in cumulus clouds was conducted. The main purpose of the analysis was to determine whether ...

M. Pinsky; A. P. Khain

2001-08-01T23:59:59.000Z

469

Impact of Interface Recombination on Time Resolved Photoluminescence (TRPL) Decays in CdTe Solar Cells (Numerical Simulation Analysis): Preprint  

DOE Green Energy (OSTI)

Using Sentaurus Device Software, we analyze how bulk and interface recombination affect time-resolved photoluminescence (TRPL) decays in CdTe solar cells. This modeling analysis could improve the interpretation of TRPL data and increase the possibility of rapid defect characterization in thin-film solar cells. By illuminating the samples with photons of two different wavelengths, we try to deduce the spatial origin of the dominant recombination loss. Shorter-wavelength photons will be more affected by the interface recombination and drift compared to the longer ones. Using the two-wavelength TRPL characterization method, it may be possible to determine whether a specific change in deposition process has affected the properties of interface or the bulk of the absorber.

Kanevce, A.; Kuciauskas, D.; Gessert, T. A.; Levi, D. H.; Albin, D. S.

2012-06-01T23:59:59.000Z

470

Soft x-ray scattering facility at the Advanced Light Source with real-time data processing and analysis  

Science Conference Proceedings (OSTI)

We present the development and characterization of a dedicated resonant soft x-ray scattering facility. Capable of operation over a wide energy range, the beamline and endstation are primarily used for scattering from soft matter systems around the carbon K-edge ({approx}285 eV). We describe the specialized design of the instrument and characteristics of the beamline. Operational characteristics of immediate interest to users such as polarization control, degree of higher harmonic spectral contamination, and detector noise are delineated. Of special interest is the development of a higher harmonic rejection system that improves the spectral purity of the x-ray beam. Special software and a user-friendly interface have been implemented to allow real-time data processing and preliminary data analysis simultaneous with data acquisition.

Gann, E.; Collins, B. A.; Ade, H. [Department of Physics, North Carolina State University, Raleigh, North Carolina 27695-8202 (United States); Young, A. T.; Nasiatka, J.; Padmore, H. A.; Hexemer, A.; Wang, C. [Advanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, California 94720 (United States); Yan, H. [Department of Physics, North Carolina State University, Raleigh, North Carolina 27695-8202 (United States); Advanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, California 94720 (United States)

2012-04-15T23:59:59.000Z

471

Impact of Interface Recombination on Time Resolved Photoluminescence Decays (TRPL) in CdTe Solar Cells (Numerical Simulation Analysis) (Poster)  

DOE Green Energy (OSTI)

Using Sentaurus Device Software, we analyze how bulk and interface recombination affect time-resolved photoluminescence (TRPL) decays in CdTe solar cells. This modeling analysis could improve the interpretation of TRPL data and increase the possibility of rapid defect characterization in thin-film solar cells. By illuminating the samples with photons of two different wavelengths, we try to deduce the spatial origin of the dominant recombination loss. Shorter-wavelength photons will be more affected by the interface recombination and drift compared to the longer ones. Using the two-wavelength TRPL characterization method, it may be possible to determine whether a specific change in deposition process has affected the properties of interface or the bulk of the absorber.

Kanevce, A.; Kuciauskas, D.; Gessert, T. A.; Levi, D. H.; Albin, D. S.

2012-06-01T23:59:59.000Z

472

Transit Timing Observations from Kepler: II. Confirmation of Two Multiplanet Systems via a Non-parametric Correlation Analysis  

SciTech Connect

We present a new method for confirming transiting planets based on the combination of transit timing variations (TTVs) and dynamical stability. Correlated TTVs provide evidence that the pair of bodies are in the same physical system. Orbital stability provides upper limits for the masses of the transiting companions that are in the planetary regime. This paper describes a non-parametric technique for quantifying the statistical significance of TTVs based on the correlation of two TTV data sets. We apply this method to an analysis of the transit timing variations of two stars with multiple transiting planet candidates identified by Kepler. We confirm four transiting planets in two multiple planet systems based on their TTVs and the constraints imposed by dynamical stability. An additional three candidates in these same systems are not confirmed as planets, but are likely to be validated as real planets once further observations and analyses are possible. If all were confirmed, these systems would be near 4:6:9 and 2:4:6:9 period commensurabilities. Our results demonstrate that TTVs provide a powerful tool for confirming transiting planets, including low-mass planets and planets around faint stars for which Doppler follow-up is not practical with existing facilities. Continued Kepler observations will dramatically improve the constraints on the planet masses and orbits and provide sensitivity for detecting additional non-transiting planets. If Kepler observations were extended to eight years, then a similar analysis could likely confirm systems with multiple closely spaced, small transiting planets in or near the habitable zone of solar-type stars.

Ford, Eric B.; /Florida U.; Fabrycky, Daniel C.; /Lick Observ.; Steffen, Jason H.; /Fermilab; Carter, Joshua A.; /Harvard-Smithsonian Ctr. Astrophys.; Fressin, Francois; /Harvard-Smithsonian Ctr. Astrophys.; Holman, Matthew J.; /Harvard-Smithsonian Ctr. Astrophys.; Lissauer, Jack J.; /NASA, Ames; Moorhead, Althea V.; /Florida U.; Morehead, Robert C.; /Florida U.; Ragozzine, Darin; /Harvard-Smithsonian Ctr. Astrophys.; Rowe, Jason F.; /NASA, Ames /SETI Inst., Mtn. View /San Diego State U., Astron. Dept.

2012-01-01T23:59:59.000Z

473

Alternative Fuels Data Center: P-Series  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

P-Series to someone by P-Series to someone by E-mail Share Alternative Fuels Data Center: P-Series on Facebook Tweet about Alternative Fuels Data Center: P-Series on Twitter Bookmark Alternative Fuels Data Center: P-Series on Google Bookmark Alternative Fuels Data Center: P-Series on Delicious Rank Alternative Fuels Data Center: P-Series on Digg Find More places to share Alternative Fuels Data Center: P-Series on AddThis.com... More in this section... Biobutanol Drop-In Biofuels Methanol P-Series Renewable Natural Gas xTL Fuels P-Series P-Series fuels are blends of natural gas liquids (pentanes plus), ethanol, and methyltetrahydrofuran (MeTHF), a biomass co-solvent. P-Series fuels are clear, colorless, 89-93 octane, liquid blends used either alone or mixed with gasoline in any proportion in flexible fuel vehicles. These fuels are

474

Real-Time Forcast Model Analysis of Daily Average Building Load for a Thermal Storage System Control  

E-Print Network (OSTI)

Thermal storage systems were originally designed to shift the on-peak cooling production to off-peak cooling production to reduce the on-peak demand. Based on the current electricity charging structure, the reduction of both on-peak and off-peak demands is becoming an exceedingly important issue. Reduction of both on-peak and off-peak demands can also extend the life span and defer or eliminate the replacement of power transformers due to potential shortage of building power capacity with anticipated equipment load increases. The next day daily average electricity demand is a critical set point to operate chillers and associated pumps at the appropriate time. For this paper, a mathematic analysis was conducted for annual daily average cooling of a building and three real-time building load forecasting models were developed. They are first-order autogressive model, random walk model and linear regression model. Finally, the comparison of results show the random walk model provides the best forecast.

Song, L.; Joo, I. S.; Guwana, S.

2009-11-01T23:59:59.000Z

475

Time, Wavelet and Hilbert-Huang Domain Analysis of Signals from Ultrasonic Based Equipment for the Non Destructive Evaluation of Concrete and Brick Masonry Walls  

Science Conference Proceedings (OSTI)

In this paper we compare the effectiveness of the time, wavelet and Hilbert-Huang domain analysis of waveforms from a Non Destructive Test (NDT) equipment. The analysis of the signals from NDT systems is one of the most important activities in the recognition ... Keywords: Hilbert-Huang transform, Magnetostrictive transducers and sensors, Non Destructive Test, Ultrasonic waves, Wavelet transform

Antonino Musolino; Marco Raugi; Mauro Tucci; Florin Turcu

2008-06-01T23:59:59.000Z

476

Mining time-shifting co-regulation patterns from gene expression data  

Science Conference Proceedings (OSTI)

Previous work for finding patterns only focuses on grouping objects under the same subset of dimensions. Thus, an important bio-interesting pattern, i.e. time-shifting, will be ignored during the analysis of time series gene expression data. In this ...

Ying Yin; Yuhai Zhao; Bin Zhang; Guoren Wang

2007-06-01T23:59:59.000Z

477

Argonne CNM: 2013 Colloquium Series  

NLE Websites -- All DOE Office Websites (Extended Search)

3 Colloquium Series 3 Colloquium Series 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | Date Title December 18, 2013 "Monodisperse Carbon Nanomaterial Heterostructures," by Mark Hersam, Northwestern University, hosted by Tijana Rajh Abstract: Improvements in carbon nanomaterial monodispersity have yielded corresponding enhancements in the performance of electronic, optoelectronic, sensing, and energy technologies. However, in all of these cases, carbon nanomaterials are just one of many materials employed, suggesting that further device improvements can be achieved by focusing on the integration of disparate nanomaterials into heterostructures with well-defined interfaces. For example, organic self-assembled monolayers on graphene act as effective seeding layers for atomic layer deposited (ALD) dielectrics, resulting in metal-oxide-graphene capacitors with wafer-scale reliability and uniformity comparable to ALD dielectrics on silicon.

478

Argonne CNM: 2011 Colloquium Series  

NLE Websites -- All DOE Office Websites (Extended Search)

1 Colloquium Series 1 Colloquium Series 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | Date Title December 21, 2011 "Film Thickness and Elastic Strain Measurements on Silicon-on-Insulator Thin Films," I. Cevdet Noyan, Columbia University, hosted by Jorg Maser Abstract: Silicon-on-insulator (SOI) composites consist of two semiconductor-grade silicon layers bonded to each other via a SiO2 interface. One of these silicon layers is quite thin; it is possible to get thicknesses between 5 and 150 nm. Since this value is much thinner than the extinction distance of X-rays in silicon for commonly used energies, this layer diffracts in the kinematical mode. The second layer is much thicker, around 700 micrometers, and diffracts in the dynamical mode. Both layers can be considered almost perfect, with negligible mosaic structures and no dislocations.

479

Argonne CNM: 2010 Colloquium Series  

NLE Websites -- All DOE Office Websites (Extended Search)

0 Colloquium Series 0 Colloquium Series 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | Date Title November 10, 2010 "Anisotropic Semiconductor Nanocrystal Synthesis and Chemical and Biological Functionalization," Preston T. Snee, University of Illinois - Chicago, hosted by Richard Schaller Abstract: Semiconductor nanocrystals (NCs, or quantum dots) are very bright chromophores that possess significant potential in alternative energy generation and for biological sensing and imaging applications. Our group has made significant advances in the synthesis of rods and multi-pods of near-infrared emitting PbSe NCs through a previously unobserved mechanism. Characterization of anisotropic PbSe NCs show that they have much more robust chemical properties compared to cubic or "dot"-shaped NCs.

480

Space and Time Scales in Ambient Ozone Data  

Science Conference Proceedings (OSTI)

This paper describes the characteristic space and time scales in time series of ambient ozone data. The authors discuss the need and a methodology for cleanly separating the various scales of motion embedded in ozone time series data, namely, ...

S. T. Rao; I. G. Zurbenko; R. Neagu; P. S. Porter; J. Y. Ku; R. F. Henry

1997-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "time series analysis" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

Orthogonal Rotation of Spatial Patterns Derived from Singular Value Decomposition Analysis  

Science Conference Proceedings (OSTI)

Singular value decomposition (SYD) analysis is frequently used to identify pairs of spatial patterns whose time series are characterized by maximum temporal covariance. It tends to compress complicated temporal covariance between two fields into ...

Xinhua Cheng; Timothy J. Dunkerton

1995-11-01T23:59:59.000Z

482

Bayesian Change-Point Analysis of Tropical Cyclone Activity: The Central North Pacific Case  

Science Conference Proceedings (OSTI)

Bayesian analysis is applied to detect change points in the time series of annual tropical cyclone counts over the central North Pacific. Specifically, a hierarchical Bayesian approach involving three layers—data, parameter, and hypothesis—is ...

Pao-Shin Chu; Xin Zhao

2004-12-01T23:59:59.000Z

483

SERI Solar Energy Storage Program  

DOE Green Energy (OSTI)

The SERI Solar Energy Storage Program provides research on advanced technologies, system analyses, and assessments of thermal energy storage for solar applications in support of the Thermal and Chemical Energy Storage Program of the DOE Division of Energy Storage Systems. Currently, research is in progress on direct contact latent heat storage and thermochemical energy storage and transport. Systems analyses are being performed of thermal energy storage for solar thermal applications, and surveys and assessments are being prepared of thermal energy storage in solar applications.

Copeland, R. J.; Wright, J. D.; Wyman, C. E.

1980-02-01T23:59:59.000Z

484

India: Asia-Pacific energy series country report  

Science Conference Proceedings (OSTI)

As part of our continuing assessment of Asia-Pacific energy markets, the Resources Programs of the East-West Center series of country studies that discuss in detail the structure of the energy sector. To date, our reports to the US Department of Energy, Assistant Secretary for International Affairs and Energy Emergencies, have covered Australia, China, India, Indonesia, Japan, Malaysia, New Zealand, Pakistan, the Philippines, Singapore, South Korea, Taiwan, and Thailand. The country studies provide an overview of the economic and political situation in the various countries. We have highlighted petroleum and gas issues in the country studies and have attempted to show the foreign trade implications of oil and gas trade. To the greatest extent possible, we have provided the latest available statistics. Staff members have traveled extensively in-and at times have lived in-the countries under review and have held discussions with senior policymakers in government and industry. Thus, these reports provide not only information but also the latest thinking on energy issues in the various countries. Over the next few years these country studies can be updated and will provide a continuous, long-term source of energy sector analysis for the Asia-Pacific region. This India Asia-Pacific Energy Series Country Report is the follow-on to a study by Victor Lobo, Energy in India: The Oil Sector, which was published by the East-West Center in December 1989. The study focused on the petroleum industry, particularly refining, infrastructure, marketing and distribution, specifications of products, demand structure and pricing. This current study, must be seen as a supplement to our 1989 study and, as such, does not cover the petroleum sector in depth.

Gazdar, M.N.

1992-03-01T23:59:59.000Z

485

Analysis of the Relationship of U.S. Droughts with SST and Soil Moisture: Distinguishing the Time Scale of Droughts  

Science Conference Proceedings (OSTI)

The impacts of droughts depend on how long droughts persist and the reasons why droughts extend to different time scales may be different. The present study distinguishes the time scale of droughts based on the standardized precipitation index ...

Renguang Wu; James L. Kinter III

2009-09-01T23:59:59.000Z

486

The role played by interdependences in ERP implementations: An empirical analysis of critical factors that minimize elapsed time  

Science Conference Proceedings (OSTI)

We analyzed the role played by different module types that influence the time spent on an ERP implementation. By using the concept of interdependences together with organizational integration theory, we distinguished between business-support and value-chain ... Keywords: Duration models, ERP implementation, Elapsed time, Facilitator mechanisms, Interdependences, Organizational integration, Time savings

Lluís Santamaría-Sánchez; Manuel Núñez-Nickel; Susana Gago-Rodríguez

2010-03-01T23:59:59.000Z

487

Homogenization of Temperature Series via Pairwise Comparisons  

Science Conference Proceedings (OSTI)

An automated homogenization algorithm based on the pairwise comparison of monthly temperature series is described. The algorithm works by forming pairwise difference series between serial monthly temperature values from a network of observing ...

Matthew J. Menne; Claude N. Williams Jr.

2009-04-01T23:59:59.000Z

488

Jefferson Lab Science Series - The Ultimate Speed  

NLE Websites -- All DOE Office Websites (Extended Search)

Higgs Boson and Our Life Higgs Boson and Our Life Previous Video (The Higgs Boson and Our Life) Science Series Video Archive Next Video (What Is CEBAF All About?) What Is CEBAF All About? The Ultimate Speed Dr. William Bertozzi - Massachusetts Institute of Technology Sometime in 1962 In his youth, Dr. William Bertozzi, an MIT professor who has long been a leader in experimental nuclear physics using beams of electrons, carried out an experiment in which he explored the relationship between the velocity of electrons and their kinetic energy by measurements over a range of accelerating voltages between 0.5 MeV and 15 MeV. The kinetic energy is measured using calorimetry and the velocity is measured by time-of-flight. This educational film, made in 1962, documents the experiment and shows

489

Fermilab Arts & Lecture Series  

NLE Websites -- All DOE Office Websites (Extended Search)

Arts & Lecture Series 2013-14 Free on-line ticketing now available! Check our web page at fnal.gov/culture A r t S S e r i e S The Congregation Second City: Happily Ever Laughter De Temps Antan Stars of Dance Chicago Jingle Babes: Decking the Halls with Songs and Folly-The Four Bitchin' Babes Dirty Dozen Brass Band Alan Kelly Gang The Fantasticks: Steampunk Version Huun Huur Tu: Throat Singers of Tuva Rhythm Safari: An Interactive World Drumming Event G A L L e r y C h A m b e r S e r i e S Chicago Brass Quintet 50th Anniversary Season Cavatina Duo Rembrandt Chamber Players L e C t u r e S e r i e S Dr. Jeff Lichtman Connectomics: Mapping the Brain Dr. Michael Meyer The Potential for Life on Mars: Past, Present and Future? Dr. James Kakalios The Physics of Superheroes Physics Slam 2013 Dr. Pete Beckman

490

MSEL Sustainability Seminar Series: Sustainable ...  

Science Conference Proceedings (OSTI)

... been limited to changes that are cost-neutral and ... to the big opportunities for energy efficiency. ... Time: 11:00am Location: Employees Lounge of the ...

2013-03-15T23:59:59.000Z

491

Accelerating Innovation Webinar Series - Energy Innovation ...  

Accelerating Innovation Webinar Series. In partnership with the Battelle Commercialization Council, the Energy Innovation Portal is hosting an ...

492

Accelerating Innovation Webinar Series - Energy Innovation Portal  

Accelerating Innovation Webinar Series. In partnership with the Battelle Commercialization Council, the Energy Innovation Portal is hosting an Accelerating Innovation ...

493

Transportation Energy Futures Series: Alternative Fuel Infrastructure...  

NLE Websites -- All DOE Office Websites (Extended Search)

Production Capacity, and Retail Availability for Low-Carbon Scenarios TRANSPORTATION ENERGY FUTURES SERIES: Alternative Fuel Infrastructure Expansion: Costs, Resources,...

494

Acoustic Emission Monitoring of the Syracuse Athena Temple: Scale Invariance in the Timing of Ruptures  

Science Conference Proceedings (OSTI)

We perform a comparative statistical analysis between the acoustic-emission time series from the ancient Greek Athena temple in Syracuse and the sequence of nearby earthquakes. We find an apparent association between acoustic-emission bursts and the earthquake occurrence. The waiting-time distributions for acoustic-emission and earthquake time series are described by a unique scaling law indicating self-similarity over a wide range of magnitude scales. This evidence suggests a correlation between the aging process of the temple and the local seismic activity.

Niccolini, G.; Carpinteri, A.; Lacidogna, G.; Manuello, A. [Istituto Nazionale di Ricerca Metrologica, Strada delle Cacce 91, 10135 Torino (Italy)] [Department of Structural Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino (Italy)

2011-03-11T23:59:59.000Z

495

Comparison of coupled and decoupled modal approaches in seismic analysis of concrete gravity dams in time domain  

Science Conference Proceedings (OSTI)

Different methods are available for dynamic analysis of concrete dams. Among these, modal approach is highly popular due to the efficiency of the method. This becomes more significant if the response is to be calculated for several earthquake ground ... Keywords: Concrete gravity dam, Coupled modes, Decoupled modal approach, Dynamic analysis

Ali Samii; Vahid Lotfi

2007-09-01T23:59:59.000Z

496

The influence of the time delay of information flow on an economy evolution. The stock market analysis  

E-Print Network (OSTI)

The decision process requires information about the present state of the system, but in economy acquiring data and processing them is an expensive and time consuming process. Therefore the state of the system is measured and announced at the end of the well defined time intervals. The model of a stock market coupled with an economy is investigated and the role of the length of the time delay of information flow investigated. It is shown that increasing the time delay leads to collective behavior of agents and oscillations of autocorrelations in absolute log-returns.

Miskiewicz, Janusz

2007-01-01T23:59:59.000Z

497

Evaluating the Quality of Ground-Based Microwave Radiometer Measurements and Retrievals Using Detrended Fluctuation and Spectral Analysis Methods  

Science Conference Proceedings (OSTI)

Time series both of microwave radiometer brightness temperature measurements at 23.8 and 31.4 GHz and of retrievals of water vapor and liquid water path from these brightness temperatures are evaluated using the detrended fluctuation analysis ...

K. Ivanova; E. E. Clothiaux; H. N. Shirer; T. P. Ackerman; J. C. Liljegren; M. Ausloos

2002-01-01T23:59:59.000Z

498

Time--Distance Helioseismology Data Analysis Pipeline for Helioseismic and Magnetic Imager onboard Solar Dynamics Observatory (SDO/HMI) and Its Initial Results  

E-Print Network (OSTI)

The Helioseismic and Magnetic Imager onboard the Solar Dynamics Observatory (SDO/HMI) provides continuous full-disk observations of solar oscillations. We develop a data-analysis pipeline based on the time-distance helioseismology method to measure acoustic travel times using HMI Doppler-shift observations, and infer solar interior properties by inverting these measurements. The pipeline is used for routine production of near-real-time full-disk maps of subsurface wave-speed perturbations and horizontal flow velocities for depths ranging from 0 to 20 Mm, every eight hours. In addition, Carrington synoptic maps for the subsurface properties are made from these full-disk maps. The pipeline can also be used for selected target areas and time periods. We explain details of the pipeline organization and procedures, including processing of the HMI Doppler observations, measurements of the travel times, inversions, and constructions of the full-disk and synoptic maps. Some initial results from the pipeline, includin...

Zhao, J; Bogart, R S; Parchevsky, K V; Birch, A C; Duvall, T L; Beck, J G; Kosovichev, A G; Scherrer, P H

2011-01-01T23:59:59.000Z

499

Warming Break Trends and Fractional Integration in the Northern, Southern, and Global Temperature Anomaly Series  

Science Conference Proceedings (OSTI)

This paper deals with the estimation of time trends in temperature anomaly series. However, instead of imposing that the estimated residuals from the time trends are covariance stationary processes with spectral density that is positive and ...

Luis A. Gil-Alana

2008-04-01T23:59:59.000Z

500

Quantum Mechanics Summary/Review Spring 2009 Compton Lecture Series  

E-Print Network (OSTI)

Quantum Mechanics Summary/Review Spring 2009 Compton Lecture Series: From Quantum Mechanics one component at a time. · Planck's constant determines the scale at which quantum mechanical effects could get rid of quantum mechanical effects ­ The "wavelength" of particles given by h mv would all