Time Series Analysis James D. Hamilton
Landweber, Laura
Time Series Analysis James D. Hamilton Since its publication just over ten years ago, James Hamilton's Time Series Analysis has taken its place in the canon of modern technical eco- nomic literature study, Hamilton's book en- joyed popularity among econometricians in seminars in Europe and North
Integrated method for chaotic time series analysis
Hively, L.M.; Ng, E.G.
1998-09-29T23:59:59.000Z
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.
Integrated method for chaotic time series analysis
Hively, Lee M. (Philadelphia, TN); Ng, Esmond G. (Concord, TN)
1998-01-01T23:59:59.000Z
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.
Analysis of Time Series Using Compact Model-Based Descriptions
Kriegel, Hans-Peter
Analysis of Time Series Using Compact Model-Based Descriptions Hans-Peter Kriegel, Peer Kr this is a combination of the coefficients 1, . . . , 3 representing the three input time series using a function f-of-the-art compression methods. The results are visually presented in a very concise way so that the user can easily
Time series power flow analysis for distribution connected PV generation.
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
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.
14.384 Time Series Analysis, Fall 2008
Schrimpf, Paul
The course provides a survey of the theory and application of time series methods in econometrics. Topics covered will include univariate stationary and non-stationary models, vector autoregressions, frequency domain ...
Geospatial analysis of vulnerable beach-foredune systems from decadal time series of lidar data
Mitasova, Helena
Geospatial analysis of vulnerable beach-foredune systems from decadal time series of lidar data, Geospatial analysis of vulnerable beach- foredune systems from decadal time series of lidar data, Journal densities; therefore, geospatial analysis, when applied to decadal lidar time series, needs to address
Visual Analysis of Frequent Patterns In Large Time Series
Ramakrishnan, Naren
1 shows an example on how to monitor chiller efficiency in data centers using a pair of data center chiller time series in which different motifs were discovered. The illustrated process can be subdivided valued vector ti captures the data values (e.g., chiller utilization in the data center example), we
The level crossing analysis of German stock market index (DAX) and daily oil price time series
Shayeganfar, F; Peinke, J; Tabar, M Reza Rahimi
2010-01-01T23:59:59.000Z
The level crossing analysis of DAX and oil price time series are given. We determine the average frequency of positive-slope crossings, $\
A Multivariate Time Series Method for Monte Carlo Reactor Analysis
Taro Ueki
2008-08-14T23:59:59.000Z
A robust multivariate time series method has been established for the Monte Carlo calculation of neutron multiplication problems. The method is termed Coarse Mesh Projection Method (CMPM) and can be implemented using the coarse statistical bins for acquisition of nuclear fission source data. A novel aspect of CMPM is the combination of the general technical principle of projection pursuit in the signal processing discipline and the neutron multiplication eigenvalue problem in the nuclear engineering discipline. CMPM enables reactor physicists to accurately evaluate major eigenvalue separations of nuclear reactors with continuous energy Monte Carlo calculation. CMPM was incorporated in the MCNP Monte Carlo particle transport code of Los Alamos National Laboratory. The great advantage of CMPM over the traditional Fission Matrix method is demonstrated for the three space-dimensional modeling of the initial core of a pressurized water reactor.
Inverting geodetic time series with a principal component analysis-based inversion method
Avouac, Jean-Philippe
Inverting geodetic time series with a principal component analysis-based inversion method A. P (2010), Inverting geodetic time series with a principal component analysis-based inversion method, J; Cohen, 1999]. This formulation is linear and easily inverted using standard algorithms. The distribution
Lean Blow-Out Prediction in Gas Turbine Combustors Using Symbolic Time Series Analysis
Ray, Asok
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
Wu, Guo-Qiang
A wide variety of methods based on fractal, entropic or chaotic approaches have been applied to the analysis of complex physiological time series. In this paper, we show that fractal and entropy measures are poor indicators ...
Linear and nonlinear time series analysis of the black hole candidate Cygnus X-1
J. Timmer; U. Schwarz; H. U. Voss; I. Wardinski; T. Belloni; G. Hasinger; M. van der Klis; Juergen Kurths
1999-11-10T23:59:59.000Z
We analyze the variability in the X-ray lightcurves of the black hole candidate Cygnus X-1 by linear and nonlinear time series analysis methods. While a linear model describes the over-all second order properties of the observed data well, surrogate data analysis reveals a significant deviation from linearity. We discuss the relation between shot noise models usually applied to analyze these data and linear stochastic autoregressive models. We debate statistical and interpretational issues of surrogate data testing for the present context. Finally, we suggest a combination of tools from linear andnonlinear time series analysis methods as a procedure to test the predictions of astrophysical models on observed data.
Anomaly detection in thermal pulse combustors using symbolic time series analysis
Ray, Asok
339 Anomaly detection in thermal pulse combustors using symbolic time series analysis S Gupta1 for anomaly detection in thermal pulse combustors. The anomaly detection method has been tested on the time pulse combustor. Results are presented to exemplify early detection of combustion instability due
Nonlinear analysis of time series of vibration data from a friction brake: SSA, PCA, and MFDFA
Nikolay K. Vitanov; Norbert P. Hoffmann; Boris Wernitz
2014-10-23T23:59:59.000Z
We use the methodology of singular spectrum analysis (SSA), principal component analysis (PCA), and multi-fractal detrended fluctuation analysis (MFDFA), for investigating characteristics of vibration time series data from a friction brake. SSA and PCA are used to study the long time-scale characteristics of the time series. MFDFA is applied for investigating all time scales up to the smallest recorded one. It turns out that the majority of the long time-scale dynamics, that is presumably dominated by the structural dynamics of the brake system, is dominated by very few active dimensions only and can well be understood in terms of low dimensional chaotic attractors. The multi-fractal analysis shows that the fast dynamical processes originating in the friction interface are in turn truly multi-scale in nature.
Time series analysis and long range correlations of Nordic spot electricity market
Wright, Francis
, 21020 Ispra(VA), Italy Abstract The electricity system price of the Nord Pool spot market is analysed. Weron and Przybylowicz [19] studied the electricity prices using Hurst R/S analysis and showed anti energy spot price time series. The question of modelling electricity spot prices has also been addressed
Analysis of Brain States from Multi-Region LFP Time-Series
Carin, Lawrence
Analysis of Brain States from Multi-Region LFP Time-Series Kyle Ulrich 1 , David E. Carlson 1 field potential (LFP) is a source of information about the broad patterns of brain activity. It is believed that these regions may jointly constitute a "brain state," relating to cognition and behavior
Roweis, Sam
SCIA 2003 Tutorial: Hidden Markov Models Sam Roweis, University of Toronto June 29, 2003 Probabilistic Generative Models for Time Series #15; Stochastic models for time-series: y 1 ; y 2 ; : : : ; y #15; Add noise to make the system stochastic: p(y t jy t 1 ;y t 2 ; : : : ;y t k ) #15; Markov models
Time series analysis, 2013, PC 8 | ARCH and GARCH processes 9 8 ARCH and GARCH processes
GaÃ¯ffas, StÃ©phane
Time series analysis, 2013, PC 8 | ARCH and GARCH processes 9 8 ARCH and GARCH processes A GARCH(q) process. Exercise 8.2 (Computation of the kurtosis of a conditionally Gaussian GARCH(1, 1) pro- cess that = 3 + 3 Var(E[X2 t | Gt 1]) (E[X2 t ])2 . 3. For a GARCH(1,1) process, with p = q = 1 and a, b = b1, c
Biomedical time series analysis based on bag-of-words model.
Wang, Jin
2013-01-01T23:59:59.000Z
??This research proposes a number of new methods for biomedical time series classification and clustering based on a novel Bag-of-Words (BoW) representation. It is anticipated… (more)
Hsu, P. J.; Lai, S. K., E-mail: sklai@coll.phy.ncu.edu.tw [Complex Liquids Laboratory, Department of Physics, National Central University, Chungli 320 Taiwan (China); Molecular Science and Technology Program, Taiwan International Graduate Program, Academia Sinica, Taipei 115, Taiwan (China); Cheong, S. A. [Division of Physics and Applied Physics, School of Physical and Mathematical Sciences, Nanyang Technological University, 21 Nanyang Link, Singapore 637371 (Singapore)
2014-05-28T23:59:59.000Z
Folded conformations of proteins in thermodynamically stable states have long lifetimes. Before it folds into a stable conformation, or after unfolding from a stable conformation, the protein will generally stray from one random conformation to another leading thus to rapid fluctuations. Brief structural changes therefore occur before folding and unfolding events. These short-lived movements are easily overlooked in studies of folding/unfolding for they represent momentary excursions of the protein to explore conformations in the neighborhood of the stable conformation. The present study looks for precursory signatures of protein folding/unfolding within these rapid fluctuations through a combination of three techniques: (1) ultrafast shape recognition, (2) time series segmentation, and (3) time series correlation analysis. The first procedure measures the differences between statistical distance distributions of atoms in different conformations by calculating shape similarity indices from molecular dynamics simulation trajectories. The second procedure is used to discover the times at which the protein makes transitions from one conformation to another. Finally, we employ the third technique to exploit spatial fingerprints of the stable conformations; this procedure is to map out the sequences of changes preceding the actual folding and unfolding events, since strongly correlated atoms in different conformations are different due to bond and steric constraints. The aforementioned high-frequency fluctuations are therefore characterized by distinct correlational and structural changes that are associated with rate-limiting precursors that translate into brief segments. Guided by these technical procedures, we choose a model system, a fragment of the protein transthyretin, for identifying in this system not only the precursory signatures of transitions associated with ? helix and ? hairpin, but also the important role played by weaker correlations in such protein folding dynamics.
RESEARCH ARTICLE Time series analysis of infrared satellite data for detecting
Wright, Robert
successfully detected ther- mal anomalies in TIR data from the Advanced Very High Resolution Radiometer (AVHRR algorithm that analyzes thermal infrared satellite time series data to detect and quantify the excess energy. These instruments provide data over potentially dangerous, high-temperature phenomena, such as volcanic eruptions
Gordon, Geoffrey J.
are in constant movement within the cell, we extended our studies to time series images, which contain both to identify a protein's subcellular location is to label it with fluorescent dye, take microscope images this last step. The automated approach is more objective and sensitive than visual examination, and single
A Novel Approach to the Analysis of Nonlinear Time Series with Applications to Financial Data
Lee, Jun Bum
2012-07-16T23:59:59.000Z
LIST OF FIGURES : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : ix CHAPTER I INTRODUCTION : : : : : : : : : : : : : : : : : : : : : : : : : : 1 II THE QUANTILE SPECTRAL DENSITY AND COMPAR- ISON BASED TESTS FOR NONLINEAR TIME SERIES... : : : 5 1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2. The quantile spectral density and the test statistic . . . . . 7 3. Sampling properties . . . . . . . . . . . . . . . . . . . . . . 18 4. Testing for equality of serial...
Mazzaccaro, Anthony Peter
1974-01-01T23:59:59.000Z
TIME -SERIES ANAI, YSIS OI' PARTICIPATION IN NQiIRESI DEN I. ' HUNTING: Tl-;E EFFECTS OI LICENSE COST ANI3 QUANTITATIVE I LUC fUWTIONS IN SVPPI. Y A lil*sis by ANTHONY PETER MAZZACCARO Subrnittc. d to the Gracluate College of Teresa ARM Unic... AND QUANTITATIVE Fl UCTUATIONS IN SUPPLY A Thesis by ANTHONY PETER IvlAZZACCARO Approved as to style and content: (Chairman of Conrrnittee) ead of Department) ( ivl e rnb e g ~. , 8! (Member) +~eg ~+ ABSTRACT Time-Series Analysis of Participation...
Andresen, Gorm Bruun; Greiner, Martin
2014-01-01T23:59:59.000Z
We present a new global high-resolution renewable energy atlas (REatlas) that can be used to calculate customised hourly time series of wind and solar PV power generation. In this paper, the atlas is applied to produce 32-year-long hourly model wind power time series for Denmark for each historical and future year between 1980 and 2035. These are calibrated and validated against real production data from the period 2000 to 2010. The high number of years allows us to discuss how the characteristics of Danish wind power generation varies between individual weather years. As an example, the annual energy production is found to vary by $\\pm10\\%$ from the average. Furthermore, we show how the production pattern change as small onshore turbines are gradually replaced by large onshore and offshore turbines. In most energy system analysis tools, fixed hourly time series of wind power generation are used to model future power systems with high penetrations of wind energy. Here, we compare the wind power time series fo...
Turbulencelike Behavior of Seismic Time Series
Manshour, P.; Saberi, S. [Department of Physics, Sharif University of Technology, Tehran 11155-9161 (Iran, Islamic Republic of); Sahimi, Muhammad [Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, California 90089-1211 (United States); Peinke, J. [Institute of Physics, Carl von Ossietzky University, D-26111 Oldenburg (Germany); Pacheco, Amalio F. [Department of Theoretical Physics, University of Zaragoza, Pedro Cerbuna 12, 50009 Zaragoza (Spain); Rahimi Tabar, M. Reza [Department of Physics, Sharif University of Technology, Tehran 11155-9161 (Iran, Islamic Republic of); Institute of Physics, Carl von Ossietzky University, D-26111 Oldenburg (Germany); CNRS UMR 6202, Observatoire de la Cote d'Azur, BP 4229, 06304 Nice Cedex 4 (France)
2009-01-09T23:59:59.000Z
We report on a stochastic analysis of Earth's vertical velocity time series by using methods originally developed for complex hierarchical systems and, in particular, for turbulent flows. Analysis of the fluctuations of the detrended increments of the series reveals a pronounced transition in their probability density function from Gaussian to non-Gaussian. The transition occurs 5-10 hours prior to a moderate or large earthquake, hence representing a new and reliable precursor for detecting such earthquakes.
Benchmarking of energy time series
Williamson, M.A.
1990-04-01T23:59:59.000Z
Benchmarking consists of the adjustment of time series data from one source in order to achieve agreement with similar data from a second source. The data from the latter source are referred to as the benchmark(s), and often differ in that they are observed at a lower frequency, represent a higher level of temporal aggregation, and/or are considered to be of greater accuracy. This report provides an extensive survey of benchmarking procedures which have appeared in the statistical literature, and reviews specific benchmarking procedures currently used by the Energy Information Administration (EIA). The literature survey includes a technical summary of the major benchmarking methods and their statistical properties. Factors influencing the choice and application of particular techniques are described and the impact of benchmark accuracy is discussed. EIA applications and procedures are reviewed and evaluated for residential natural gas deliveries series and coal production series. It is found that the current method of adjusting the natural gas series is consistent with the behavior of the series and the methods used in obtaining the initial data. As a result, no change is recommended. For the coal production series, a staged approach based on a first differencing technique is recommended over the current procedure. A comparison of the adjustments produced by the two methods is made for the 1987 Indiana coal production series. 32 refs., 5 figs., 1 tab.
A Time Series Analysis of Food Price and Its Input Prices
Routh, Kari 1988-
2012-11-27T23:59:59.000Z
....................................... 27 4.5 Residual Correlation Matrix of the VECM ................................................ 28 4.6 Decomposition of Forecast Error Variance for Each of Eight Series ........ 40 1 CHAPTER I INTRODUCTION Global food prices have....94 0.50 2.96 4.90 .13 Gasoline 0.79 0.34 0.12 1.41 .43 Corn 1.06 0.43 0.40 1.99 .41 Food CPI 5.28 0.10 5.12 5.45 .02 Ethanol 0.59 0.29 -0.06 1.29 .49 Food PPI 5.03 0.13 4.84 5.28 .03 Fuel PPI 4.98 0.29 4.41 5.59 .06 Dollar Index 4.70 0.09 4.55 4...
EMCS and time-series energy data analysis in a large government office building
Piette, Mary Ann; Kinney, Satkartar; Friedman, Hannah
2001-01-01T23:59:59.000Z
Diagnostics from DDC Data – PACRAT,” Proceedings of the 8 thRecommissioning Analysis Tool (PACRAT) As mentioned, LBNL is2001). One such tool is the PACRAT. PACRAT is both broad and
EMCS and time-series energy data analysis in a large government office building
Piette, Mary Ann; Kinney, Satkartar; Friedman, Hannah
2001-04-01T23:59:59.000Z
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.
Time series analysis of AERI radiances for GCM testing and improvement
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched Ferromagnetism in Layered NbS2 andThe1A:decisional. 1 B O N N E V I L L E1,4,6,7,Time
STAT565: APPLIED TIME SERIES ANALYSIS 16:960:565 SPRING 2013, MONDAY 6:40-9:30 PM, ARC 107 BUS
Shepp, Larry
STAT565: APPLIED TIME SERIES ANALYSIS 16:960:565 SPRING 2013, MONDAY 6:40-9:30 PM, ARC 107 BUS 1:30-6:00 pm or by appointment Â· Email: hxiao@stat.rutgers.edu Â· Prerequisite. First graduate level courses of Financial Time Series, by Ruey S. Tsay. Wiley, 2010, 3rd. Full text available from MyiLibrary http://lib.myilibrary.com/Open.aspx?id
Vuille, Mathias
Comparing modern and Pleistocene ENSO-like influences in NW Argentina using nonlinear time series of 106 m3 occurred in the arid to semiarid intra-Andean basins of northwest- ern Argentina (Strecker Argentina are not well known for the period at around 30,000 14 C years ago. Marine and terrestrial records
Forecasting the underlying potential governing climatic time series
Livina, V N; Mudelsee, M; Lenton, T M
2012-01-01T23:59:59.000Z
We introduce a technique of time series analysis, potential forecasting, which is based on dynamical propagation of the probability density of time series. We employ polynomial coefficients of the orthogonal approximation of the empirical probability distribution and extrapolate them in order to forecast the future probability distribution of data. The method is tested on artificial data, used for hindcasting observed climate data, and then applied to forecast Arctic sea-ice time series. The proposed methodology completes a framework for `potential analysis' of climatic tipping points which altogether serves anticipating, detecting and forecasting climate transitions and bifurcations using several independent techniques of time series analysis.
Rocke, David M.
Analysis of MALDI FT-ICR Mass Spectrometry Data: a Time Series Approach Donald A. Barkauskasa/ionization Fourier transform ion cyclotron resonance mass spectrometry is a technique for high mass gamma distribution with varying scale parameter but constant shape parameter and exponent. This enables
STAT565: APPLIED TIME SERIES ANALYSIS 16:960:565 SPRING 2014, MONDAY 6:40-9:30 PM, ARC 107 BUS
Shepp, Larry
STAT565: APPLIED TIME SERIES ANALYSIS 16:960:565 SPRING 2014, MONDAY 6:40-9:30 PM, ARC 107 BUS 1 or by appointment Â· Email: hxiao@stat.rutgers.edu Â· Prerequisite. First graduate level courses in mathematical, by Ruey S. Tsay. Wiley, 2010, 3rd. Full text available from MyiLibrary http://lib.myilibrary.com/Open.aspx?id
Normalizing the causality between time series
Liang, X San
2015-01-01T23:59:59.000Z
Recently, a rigorous yet concise formula has been derived to evaluate the information flow, and hence the causality in a quantitative sense, between time series. To assess the importance of a resulting causality, it needs to be normalized. The normalization is achieved through distinguishing three types of fundamental mechanisms that govern the marginal entropy change of the flow recipient. A normalized or relative flow measures its importance relative to other mechanisms. In analyzing realistic series, both absolute and relative information flows need to be taken into account, since the normalizers for a pair of reverse flows belong to two different entropy balances; it is quite normal that two identical flows may differ a lot in relative importance in their respective balances. We have reproduced these results with several autoregressive models. We have also shown applications to a climate change problem and a financial analysis problem. For the former, reconfirmed is the role of the Indian Ocean Dipole as ...
Exact Primitives for Time Series Data Mining
Mueen, Abdullah Al
2012-01-01T23:59:59.000Z
142 Sony AIBO Robot: Surfacetrajectories and ac- celerometer signals from SONY AIBOclasses of time series from the SONY AIBO accelerometer. (b)
Statistical criteria for characterizing irradiance time series.
Stein, Joshua S.; Ellis, Abraham; Hansen, Clifford W.
2010-10-01T23:59:59.000Z
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.
A time-series approach to dynamical systems from classical and quantum worlds
Fossion, Ruben [Instituto Nacional de Geriatría, Periférico Sur No. 2767, Col. San Jerónimo Lídice, Del. Magdalena Contreras, 10200 México D.F., Mexico and Centro de Ciencias de la Complejidad (C3), Universidad Nacional Autó (Mexico)
2014-01-08T23:59:59.000Z
This contribution discusses some recent applications of time-series analysis in Random Matrix Theory (RMT), and applications of RMT in the statistial analysis of eigenspectra of correlation matrices of multivariate time series.
N. Marwan; M. H. Trauth; M. Vuille; J. Kurths
2003-03-24T23:59:59.000Z
Higher variability in rainfall and river discharge could be of major importance in landslide generation in the north-western Argentine Andes. Annual layered (varved) deposits of a landslide dammed lake in the Santa Maria Basin (26 deg S, 66 deg W) with an age of 30,000 14C years provide an archive of precipitation variability during this time. The comparison of these data with present-day rainfall observations tests the hypothesis that increased rainfall variability played a major role in landslide generation. A potential cause of such variability is the El Nino/Southern Oscillation (ENSO). The causal link between ENSO and local rainfall is quantified by using a new method of nonlinear data analysis, the quantitative analysis of cross recurrence plots (CRP). This method seeks similarities in the dynamics of two different processes, such as an ocean-atmosphere oscillation and local rainfall. Our analysis reveals significant similarities in the statistics of both modern and palaeo-precipitation data. The similarities in the data suggest that an ENSO-like influence on local rainfall was present at around 30,000 14C years ago. Increased rainfall, which was inferred from a lake balance modeling in a previous study, together with ENSO-like cyclicities could help to explain the clustering of landslides at around 30,000 14C years ago.
Can biomass time series be reliably assessed from CPUE time series data Francis Lalo1
Hawai'i at Manoa, University of
1 Can biomass time series be reliably assessed from CPUE time series data only? Francis LaloÃ«1 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
Time Series Models: Hidden Markov Models
Roweis, Sam
Time Series Models: Hidden Markov Models & Linear Dynamical Systems Sam Roweis Gatsby Computational before. Discrete state: { Moore and Mealy machines (engineering) { stochastic #12;nite state automata (CS chain with stochastic measurements. Gauss-Markov process in a pancake. PSfrag replacements x 1 y 1 x 2 y
Time Series Models: Hidden Markov Models
Roweis, Sam
Time Series Models: Hidden Markov Models & Linear Dynamical Systems Sam Roweis Gatsby Computational. Discrete state: { Moore and Mealy machines (engineering) { stochastic #12;nite state automata (CS with stochastic measurements. Gauss-Markov process in a pancake. PSfrag replacements x 1 y 1 x 2 y 2 x 3 y 3 x T y
Segmenting Time Series for Weather Forecasting
Sripada, Yaji
) 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 to develop a generic model for summarisation of time series data. Initially, we have applied standard
10 Bd. de l'Empereur 20 Kasteelpark Arenberg 10 3000 Leuven, Belgium 1000 Brussels, Belgium 3000 analysis of the electric load is cur- rently a key research area [1, 2] with important impli- cations
Lin, Ying-Tsong
In this paper, a method for merging partial overlapping time series of ocean profiles into a single time series of profiles using empirical orthogonal function (EOF) decomposition with the objective analysis is presented. ...
Wolpert, Robert L
Bayesian analysis of GARCH and stochastic volatility: modeling leverage, jumps and heavy for two broad major classes of varying volatility model, GARCH and stochastic volatility (SV) models-t errors yields the best performance among the competing models on the return data. Key words: GARCH, Heavy
Filtering out high frequencies in time series using F-transform$
Kreinovich, Vladik
Filtering out high frequencies in time series using F-transform$ VilÂ´em NovÂ´akc , Irina Perfilievac) Preprint submitted to Elsevier February 10, 2013 #12;Filtering out high frequencies in time series using F at El Paso 500 W. University, El Paso, TX 79968, USA This paper is devoted to analysis of time series
Filtering out high frequencies in time series using F-transform$
Kreinovich, Vladik
Filtering out high frequencies in time series using F-transform$ VilÂ´em NovÂ´akc , Irina Perfilievac) Preprint submitted to Elsevier February 3, 2014 #12;Filtering out high frequencies in time series using F, El Paso, TX 79968, USA 1. Introduction This paper is devoted to analysis of time series using fuzzy
Fernandez, Thomas
of the meteorological time series used, which includes the use of statistical techniques to detect whether there exist for the time series using an evolutionary algorithm that adaptively adjusts some of its parameters during its and temperatures collected in a region of Romania. The results are promising for the analysis of such time series
Univariate Modeling and Forecasting of Monthly Energy Demand Time Series
Abdel-Aal, Radwan E.
Univariate Modeling and Forecasting of Monthly Energy Demand Time Series Using Abductive and Neural demand time series based only on data for six years to forecast the demand for the seventh year. Both networks, Neural networks, Modeling, Forecasting, Energy demand, Time series forecasting, Power system
Early Classification of Multivariate Time Series Using a Hybrid HMM/SVM model
Obradovic, Zoran
Early Classification of Multivariate Time Series Using a Hybrid HMM/SVM model Mohamed F. Ghalwash to use a shorter time interval for classification is often more favorable than having a slightly more with other models that use full time series both in training and testing. Analysis of biomedical data has
Power Series Power series are one of the most useful type of series in analysis. For example,
Hunter, John K.
Chapter 6 Power Series Power series are one of the most useful type of series in analysis functions (and many other less familiar functions). 6.1. Introduction A power series (centered at 0 coefficients. If all but finitely many of the an are zero, then the power series is a polynomial function
OBST-based segmentation approach to financial time series Yain-Whar Si n
Si, Yain Whar "Lawrence"
applications. Examples of time series include historical price and trading volume obtained from financial stock' judgment. In technical analysis, time series data such as historical price, volume, and other statistical the movement of the price. Analysts may also take into account other factors such as government policies
Puschmann, K G; Vazquez, M; Bonet, J A; Hanslmeier, A; 10.1051/0004-6361:20047193
2012-01-01T23:59:59.000Z
From the inversion of a time series of high resolution slit spectrograms obtained from the quiet sun, the spatial and temporal distribution of the thermodynamical quantities and the vertical flow velocity is derived as a function of logarithmic optical depth and geometrical height. Spatial coherence and phase shift analyzes between temperature and vertical velocity depict the height variation of these physical quantities for structures of different size. An average granular cell model is presented, showing the granule-intergranular lane stratification of temperature, vertical velocity, gas pressure and density as a function of logarithmic optical depth and geometrical height. Studies of a specific small and a specific large granular cell complement these results. A strong decay of the temperature fluctuations with increasing height together with a less efficient penetration of smaller cells is revealed. The T -T coherence at all granular scales is broken already at log tau =-1 or z~170 km. At the layers beyon...
Distribution Based Data Filtering for Financial Time Series Forecasting
Bailey, James
recent past. In this paper, we address the challenge of forecasting the behavior of time series using@unimelb.edu.au Abstract. Changes in the distribution of financial time series, particularly stock market prices, can of stock prices, which aims to forecast the future values of the price of a stock, in order to obtain
APPARENT WATER OPTICAL PROPERTIES AT THE CARIBBEAN TIME SERIES STATION
Gilbes, Fernando
APPARENT WATER OPTICAL PROPERTIES AT THE CARIBBEAN TIME SERIES STATION Roy A. Armstrong, Jose M of Puerto Rico MayagÃ¼ez, Puerto Rico 00681 ABSTRACT The Caribbean Time Series, located 28 nautical miles in near- surface waters of the northeastern Caribbean Basin. Apparent optical properties such as, remote
IMPROVEMENTS TO THE RADIANT TIME SERIES METHOD COOLING LOAD CALCULATION
IMPROVEMENTS TO THE RADIANT TIME SERIES METHOD COOLING LOAD CALCULATION PROCEDURE By BEREKET, Australia 1998 Submitted to the Faculty of the Graduate College of the Oklahoma State University in partial TO THE RADIANT TIME SERIES METHOD COOLING LOAD CALCULATION PROCEDURE Dissertation Approved: Dr. Jeffrey D
Tappert, Charles
Series Using a Focused Time Lagged FeedForward Neural Network N. Moseley ABSTRACT, - Artificial neural other series expansion.[2]. The motivation for analysis of time series using neural netwoProceedings of Student Research Day, CSIS, Pace University, May 9th, 2003 Modeling Economic Time
Local prediction of turning points of oscillating time series
D. Kugiumtzis
2008-08-06T23:59:59.000Z
For oscillating time series, the prediction is often focused on the turning points. In order to predict the turning point magnitudes and times it is proposed to form the state space reconstruction only from the turning points and modify the local (nearest neighbor) model accordingly. The model on turning points gives optimal prediction at a lower dimensional state space than the optimal local model applied directly on the oscillating time series and is thus computationally more efficient. Monte Carlo simulations on different oscillating nonlinear systems showed that it gives better predictions of turning points and this is confirmed also for the time series of annual sunspots and total stress in a plastic deformation experiment.
Long-range correlations and trends in Colombian seismic time series
Martin-Montoya, L A; Quimbay, C J
2014-01-01T23:59:59.000Z
We detect long-range correlations and trends in time series extracted from the data of seismic events occurred since 1973 until 2011 in a rectangular region that contain mainly all the continental part of Colombia. The long-range correlations are detected by the calculation of the Hurst exponents for the time series of interevent intervals, separation distances, depth differences and magnitude differences. By using a geometrical modification of the classical R/S method that has been developed to detect long-range correlations in short time series, we find the existence of persistence for all the time series considered. We find also, by using the DFA until the third order, that the time series of interevent intervals, separation distances and depth differences are influenced by quadratic trends, while the time series of magnitude differences is influenced by a linear trend. Finally, for the time series of interevent intervals, we present an analysis of the Hurst exponent as a function of the time and the minim...
Continuous Time Random Walks and South Spain Seismic Series
A. Posadas; J. Morales; F. Vidal; O. Sotolongo-Costa; J. C. Antoranz
2002-05-27T23:59:59.000Z
Levy flights were introduced through the mathematical research of the algebra or random variables with infinite moments. Mandelbrot recognized that the Levy flight prescription had a deep connection to scale-invariant fractal random walk trajectories. The theory of Continuous Time Random Walks (CTRW) can be described in terms of Levy distribution functions and it can be used to explain some earthquake characteristics like the distribution of waiting times and hypocenter locations in a seismic region. This paper checks the validity of this assumption analyzing three seismic series localized in South Spain. The three seismic series (Alboran, Antequera and Loja) show qualitatively the same behavior, although there are quantitative differences between them.
Visualizing Frequent Patterns in Large Multivariate Time Series , M. Marwah1
Ramakrishnan, Naren
languages, detecting anomalies in patients' medical records over time [5], and chiller efficiency in data centers [14]. Figure 1 shows an example of the visual analysis of a pair of data center chiller time series in which different motifs were discovered. A chiller is a key component of the cooling
Trade and Income Exploiting Time Series in James Feyrer
Lotko, William
Trade and Income Â Exploiting Time Series in Geography James Feyrer Dartmouth College October 23. Rodriguez and Rodrik (2000) show that these results are not robust to controlling for omitted variables conferences for helpful comments. All errors are my own. james.feyrer@dartmouth.edu, Dartmouth College
CONSISTENT FUNCTIONAL PCA FOR FINANCIAL TIME-SERIES Sebastian Jaimungal
Jaimungal, Sebastian
of Figure 1 we present a time-series resulting from the NYMEX light sweet crude oil futures price data set sweet crude oil futures curves and demonstrate that it contains significant advan- tages over FPCA as opposed to a modification of the usual PCA is quite simple: futures price data on a given day
Time series of a CME blasting out from the Sun
Christian, Eric
#12;Time series of a CME blasting out from the Sun Composite image of the Sun in UV light with the naked eye, the Sun seems static, placid, constant. From the ground, the only notice- able variations in the Sun are its location (where will it rise and set today?) and its color (will clouds cover
Improving predictability of time series using maximum entropy methods
Gregor Chliamovitch; Alexandre Dupuis; Bastien Chopard; Anton Golub
2014-11-28T23:59:59.000Z
We discuss how maximum entropy methods may be applied to the reconstruction of Markov processes underlying empirical time series and compare this approach to usual frequency sampling. It is shown that, at least in low dimension, there exists a subset of the space of stochastic matrices for which the MaxEnt method is more efficient than sampling, in the sense that shorter historical samples have to be considered to reach the same accuracy. Considering short samples is of particular interest when modelling smoothly non-stationary processes, for then it provides, under some conditions, a powerful forecasting tool. The method is illustrated for a discretized empirical series of exchange rates.
Improving predictability of time series using maximum entropy methods
Chliamovitch, Gregor; Chopard, Bastien; Golub, Anton
2014-01-01T23:59:59.000Z
We discuss how maximum entropy methods may be applied to the reconstruction of Markov processes underlying empirical time series and compare this approach to usual frequency sampling. It is shown that, at least in low dimension, there exists a subset of the space of stochastic matrices for which the MaxEnt method is more efficient than sampling, in the sense that shorter historical samples have to be considered to reach the same accuracy. Considering short samples is of particular interest when modelling smoothly non-stationary processes, for then it provides, under some conditions, a powerful forecasting tool. The method is illustrated for a discretized empirical series of exchange rates.
E-Print Network 3.0 - analyzing time-series gene Sample Search...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
series in terms of number... gene networks from time series include boolean network models, 5 Correlation Metric Construction, 6... - constructed time ... Source: D'haeseleer,...
Siegel, D.I.
1998-01-01T23:59:59.000Z
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.
Tominski, Christian
that can be used to explore and analyze multivariate time series data. We propose different types of drawings. 1 INTRODUCTION The analysis of time series data is a fundamental task addressed by information of multivariate data is not a new topic to information visualization researchers. A variety of approaches have
De Bilt, 2012 | Technical Report ; TR-326 Time series transformation tool
Stoffelen, Ad
De Bilt, 2012 | Technical Report ; TR-326 Time series transformation tool: description #12;#12;Time series transformation tool: description of the program to generate time series consistent ransformation tool: description of the program to generate time series consistent with the KNMI'06 climate
Introduction to Time Series Analysis Instructor
Kulik, Rafal
and Statistics 585 King Edward Av. Office 203D Phone: 562-5800 Ext. 3526 Email: rkulik@uottawa.ca Schedule
1MaPhySto Workshop 9/04 Nonlinear Time Series ModelingNonlinear Time Series Modeling
. "Stylized facts" concerning financial time series 4. ARCH and GARCH models 5. Forecasting with GARCH 6 of multivariate RV equivalence 8.5 examples 8.6 Extremes for GARCH and SV models 8.7 Summary of results for ACF of GARCH & SV models #12;4MaPhySto Workshop 9/04 Part III: Nonlinear and NonGaussian State-Space Models 1
State Space Reconstruction for Multivariate Time Series Prediction
I. Vlachos; D. Kugiumtzis
2008-09-12T23:59:59.000Z
In the nonlinear prediction of scalar time series, the common practice is to reconstruct the state space using time-delay embedding and apply a local model on neighborhoods of the reconstructed space. The method of false nearest neighbors is often used to estimate the embedding dimension. For prediction purposes, the optimal embedding dimension can also be estimated by some prediction error minimization criterion. We investigate the proper state space reconstruction for multivariate time series and modify the two abovementioned criteria to search for optimal embedding in the set of the variables and their delays. We pinpoint the problems that can arise in each case and compare the state space reconstructions (suggested by each of the two methods) on the predictive ability of the local model that uses each of them. Results obtained from Monte Carlo simulations on known chaotic maps revealed the non-uniqueness of optimum reconstruction in the multivariate case and showed that prediction criteria perform better when the task is prediction.
Some applications of wavelets to time series data
Jeong, Jae Sik
2009-05-15T23:59:59.000Z
stationary time series {Xt} is said to have long memory when long memory parameter d is between 0 and 0.5. Many methods of estimating long memory parameter based on its decay rate of autocorrelation or behavior of spectral density around zero have been....For consistency, some people consider the original dataXt asv0,t. Due to decimating property, we haveN/2j wavelet and scaling coefficients at levelj. The constraint on sample size, N = 2J can be relaxed by considering partial discrete wavelet transform. 2...
Some methods and models for analyzing time-series gene expression data
Jammalamadaka, Arvind K. (Arvind Kumar), 1981-
2009-01-01T23:59:59.000Z
Experiments in a variety of fields generate data in the form of a time-series. Such time-series profiles, collected sometimes for tens of thousands of experiments, are a challenge to analyze and explore. In this work, ...
Mikosch, Thomas
. The resulting theory is applied to popular financial time series models: GARCH(1, 1), asymmetric GARCH(1, 1 for a general class of heteroscedastic time series models, which includes GARCH(1, 1). Recall that the time series (X t ) is called a GARCH(p, q) (generalized autoregressive conditionally heteroscedastic) process
Exposure Measurement Error in Time-Series Studies of Air Pollution: Concepts and Consequences
Dominici, Francesca
of air pollution and health. Because measurement error may have substantial implications for interpreting1 Exposure Measurement Error in Time-Series Studies of Air Pollution: Concepts and Consequences S in time-series studies 1 11/11/99 Keywords: measurement error, air pollution, time series, exposure
MEPSA: a flexible peak search algorithm designed for uniformly spaced time series
Guidorzi, C
2015-01-01T23:59:59.000Z
We present a novel algorithm aimed at identifying peaks within a uniformly sampled time series affected by uncorrelated Gaussian noise. The algorithm, called "MEPSA" (multiple excess peak search algorithm), essentially scans the time series at different timescales by comparing a given peak candidate with a variable number of adjacent bins. While this has originally been conceived for the analysis of gamma-ray burst light (GRB) curves, its usage can be readily extended to other astrophysical transient phenomena, whose activity is recorded through different surveys. We tested and validated it through simulated featureless profiles as well as simulated GRB time profiles. We showcase the algorithm's potential by comparing with the popular algorithm by Li and Fenimore, that is frequently adopted in the literature. Thanks to its high flexibility, the mask of excess patterns used by MEPSA can be tailored and optimised to the kind of data to be analysed without modifying the code. The C code is made publicly availabl...
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
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.
Estimating the predictability of economic and financial time series
Quentin Giai Gianetto; Jean-Marc Le Caillec; Erwan Marrec
2012-12-12T23:59:59.000Z
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.
Power spectra of fossil biodiversity time series: a connection with Galactic dynamics?
Melott, Adrian L
2008-01-01T23:59:59.000Z
Systematic error is a major issue in the quantitative analysis of fossil biodiversity data in paleontology. I present results of time series analysis of a new and expanded data set (the Paleobiology Database) controlled and corrected for systematic error, and find that periodicities at approximately 62 and 150 Myr reported from previous data emerge at higher significance than before. This provides increased confidence that the periodicities are not collection, sampling, or binning artifacts. Both of these timescales are interestingly close to dynamical timescales of Solar motion in the Milky Way galaxy.
SumTime-Turbine: A Knowledge-Based System to Communicate Gas Turbine Time-Series Data
Reiter, Ehud
SumTime-Turbine: A Knowledge-Based System to Communicate Gas Turbine Time-Series Data Jin Yu of Aberdeen Aberdeen, AB24 3UE, UK {jyu, ereiter, jhunter, ssripada}@csd.abdn.ac.uk Abstract: SumTime-Turbine produces textual summaries of archived time- series data from gas turbines. These summaries should help
E-Print Network 3.0 - ad-hoc time series Sample Search Results
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
series Search Powered by Explorit Topic List Advanced Search Sample search results for: ad-hoc time series Page: << < 1 2 3 4 5 > >> 1 International Journal of Information...
Hurst exponent of very long birth time series in XX century Romania. Social and religious aspects
Rotundo, G; Herteliu, C; Ileanu, B
2015-01-01T23:59:59.000Z
The Hurst exponent of very long birth time series in Romania has been extracted from official daily records, i.e. over 97 years between 1905 and 2001 included. The series result from distinguishing between families located in urban (U) or rural (R) areas, and belonging (Ox) or not (NOx) to the orthodox religion. Four time series combining both criteria, (U,R) and (Ox, NOx), are also examined. A statistical information is given on these sub-populations measuring their XX-th century state as a snapshot. However, the main goal is to investigate whether the "daily" production of babies is purely noisy or is fluctuating according to some non trivial fractional Brownian motion, - in the four types of populations, characterized by either their habitat or their religious attitude, yet living within the same political regime. One of the goals was also to find whether combined criteria implied a different behavior. Moreover, we wish to observe whether some seasonal periodicity exists. The detrended fluctuation analysis...
breaks in this series? #12;5Banff 6/06 Introduction Examples AR GARCH Stochastic volatility State space Simulation results Applications Simulation results for GARCH and SV models #12;6Banff 6/06 Examples 1 ),,( 1 jjpj K #12;7Banff 6/06 Examples (cont) 2. Segmented GARCH model: where 0 = 1
-202 Any breaks in this series? #12;5NCAR-IMAGe 2006 Introduction Examples AR GARCH Stochastic volatility break estimation Simulation results Applications Simulation results for GARCH and SV models #12;6NCAR-tjptjptjjt tYYY jj GARCH model
Almog, Assaf
2014-01-01T23:59:59.000Z
The dynamics of complex systems, from financial markets to the brain, can be monitored in terms of time series of activity of their fundamental elements (such as stocks or neurons respectively). While the main focus of time series analysis is on the magnitude of temporal increments, a significant piece of information is encoded into the binary projection (i.e. the sign) of such increments. In this paper we provide further evidence of this by showing strong nonlinear relationships between binary and non-binary properties of financial time series. We then introduce an information-theoretic approach to the analysis of the binary signature of single and multiple time series. Through the definition of maximum-entropy ensembles of binary matrices, we quantify the information encoded into the simplest binary properties of real time series and identify the most informative property given a set of measurements. Our formalism is able to replicate the observed binary/non-binary relations very well, and to mathematically...
Resampling Methodology in Spatial Prediction and Repeated Measures Time Series
Rister, Krista Dianne
2012-02-14T23:59:59.000Z
procedure can also be used to produce prediction intervals. When 18 the Y (?) process is Gaussian, these prediction intervals should perform no better than the interval in (D.14). However, when working with real world data, the assumptions of a Gaussian...- series representation given by ?(x) = ?? k=0 dk(x? ?(s0))k, x ? R (E.19) for some d0, d1, . . . ? R. Further, supppose that E [ Z?n(s0) ]2 = O(1) and that for some k1 ? (0,?), ?? k=1 ?? j=1 kj|dkdj|2 (k+j?2)/2? ( k + j ? 1 2 )[ ?j+k?2...
TQuEST: Threshold Query Execution for Large Sets of Time Series
Kriegel, Hans-Peter
. environmental air pollution which has gained rapidly increasing attention by many European research projects million time series, each representing the daily course of air pollution parameters1 . It is important data mining in time series databases is essential in many application domains as for instance
DETERMINING THE FRACTAL DIMENSION OF A TIME SERIES WITH A NEURAL NET
Danon, Yaron
DETERMINING THE FRACTAL DIMENSION OF A TIME SERIES WITH A NEURAL NET MARK J. EMBRECHTS AND YARON and require expert interaction for interpreting the calculated fractal dimension. Artificial neural nets (ANN) offer a fast and elegant way to estimate the fractal dimension of a time series. A backpropagation net
A test for second order stationarity of a time series based on the Discrete Fourier Transform
Subba Rao, Suhasini
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
New Problems for an Old Design: Time-Series Analyses of Air Pollution and Health
Dominici, Francesca
New Problems for an Old Design: Time-Series Analyses of Air Pollution and Health Jonathan M. Samet1 for adverse effects of particulate air pollution on the public's health. The daily time-series studies of air to public health posed by air pollution, tending to provide risk coefficients that are biased upwards
Detecting Climate Change in Multivariate Time Series Data by Novel Clustering and Cluster Tracing Aachen University, Germany {kremer, guennemann, seidl}@cs.rwth-aachen.de Abstract--Climate change can series, and trace the clusters over time. A climate pattern is categorized as a changing pattern
Paris-Sud XI, UniversitÃ© de
1 Time series modeling and large scale global solar radiation forecasting from geostationary global solar radiation. In this paper, we use geostationary satellites data to generate 2-D time series of solar radiation for the next hour. The results presented in this paper relate to a particular territory
Mining Markov chain transition matrix from wind speed time series data Zhe Song a,
Kusiak, Andrew
). Knowing how wind behaves at specific wind farms is extremely important for today's power systems in termsMining Markov chain transition matrix from wind speed time series data Zhe Song a, , Xiulin Geng Wind speed time series Wind power Evolutionary algorithms Markov chain Optimization a b s t r a c
autoregressive time series: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
with several autoregressive models. We have also shown applications to a climate change problem and a financial analysis problem. For the former, reconfirmed is the role of...
astronomical time series: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
with several autoregressive models. We have also shown applications to a climate change problem and a financial analysis problem. For the former, reconfirmed is the role of...
Plotkin, S.; Stephens, T.; McManus, W.
2013-03-01T23:59:59.000Z
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.
Cliometrics and Time Series Econometrics: Some Theory and Applications
Hickman, Mark
. Applications include a discussion of the timing and potential causes of the British Industrial Revolution, convergence, long memory, graphical modelling, British Industrial Revolution. JEL classifications N33, O47, O
Introduction to (Generalized) Autoregressive Conditional Heteroskedasticity Models in Time Series
Morrow, James A.
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 4 ARCH/GARCH models 8 4.1 Sample Application and application of the ARCH/GARCH models proposed in the 1980's by econometricians such as Robert Engle (who won at the time). In particular, we focus on the paper, "GARCH 101: The Use of ARCH/GARCH Models in Applied Econo
IMPROVED SEMI-PARAMETRIC TIME SERIES MODELS OF AIR POLLUTION AND MORTALITY
Dominici, Francesca
series analyses of air pollution and health attracted the attention of the scientific community, policy uncertainty in time series studies of air pollution and health. This discovery delayed the completion) for six "criteria" air pollutants at a level that protects the public's health (Environmental Protection
Essays on Bayesian Time Series and Variable Selection
De, Debkumar
2014-05-08T23:59:59.000Z
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69 vi LIST OF FIGURES FIGURE Page 2.1 Dynamic Model. Given xt, yt is independent of y1:t?1, x1:t?1. . . . . . . 7 2.2 The figure shows estimated value of ? and ?2 from : (a)-(b) Stochastic Approximation approach; (c)-(d) Augmentation approach. In each... Sorenson (1970). 6 Let yt and xt be the p and q dimensional observation and hidden state variable at the time t. Let ? be set of unknown parameter. Figure (2.1) depicts the dynamic relation between yt and xt. The generalized version of state-space model can...
A FAST MODEL-BUILDING METHOD FOR TIME SERIES USING GENETIC PROGRAMMING
Fernandez, Thomas
A FAST MODEL-BUILDING METHOD FOR TIME SERIES USING GENETIC PROGRAMMING I. Yoshihara Faculty) financial problems e.g. stock price indices and gold prices. The experiments lead us to the conclusion
EXPERIMENTAL VALIDATION OF THE RADIANT TIME SERIES METHOD FOR COOLING LOAD
EXPERIMENTAL VALIDATION OF THE RADIANT TIME SERIES METHOD FOR COOLING LOAD CALCULATIONS By IP SENG College of the Oklahoma State University in partial fulfillment of the requirements for the Degree LOAD CALCULATIONS Thesis Approved: _______________________________________ Thesis Advisor
INCORPORATING NATURAL VARIATION INTO TIME SERIES-BASED LAND COVER CHANGE IDENTIFICATION
Minnesota, University of
INCORPORATING NATURAL VARIATION INTO TIME SERIES-BASED LAND COVER CHANGE IDENTIFICATION VARUN in forests. The bulk of work in identifying land cover changes using remote sensing data involves image
Using temporal averaging to decouple annual and nonannual information in AVHRR NDVI time series
Kastens, Jude Heathcliff; Lerner, David E.; Jakubauskas, Mark E.
2003-11-01T23:59:59.000Z
As regularly spaced time series imagery becomes more prevalent in the remote sensing community, monitoring these data for temporal consistency will become an increasingly important problem. Long-term trends must be identified, and it must...
The Spectral Density Estimation of Stationary Time Series with Missing Data
Schellekens, Michel P.
reported in literature (see, e.g. Green et al., 2002, Kaneoke and Vitek, 1996, Fortin and Mackey, 1999, and Laguna et al., 1998). Here we consider estimating the spectral density of stationary time series
Generating English Summaries of Time Series Data Using the Gricean Maxims
Sripada, Yaji
, gas-turbine sensor readings, and hospital intensive care data. Our weather-forecast generator technology for generating English textual summaries of time-series data, in three domains: weather forecasts
The relation between Brazilian and Chicago Board of Trade soybean prices: a time series test
Melcher, Bruno
1991-01-01T23:59:59.000Z
THE RELATION BETWEEN BRAZILIAN AND CHICAGO BOARD OF TRADE SOYBEAN PRICES ? A TIME SERIES TEST A Thesis BRUNO MELCHER Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements... for the degree of MASTER OF SCIENCE May 1991 Major Subject: Agricultural Economics THE RELATION BETWEEN BRAZILIAN AND CHICAGO BOARD OF TRADE SOYBEAN PRICES ? A TIME SERIES TEST A Thesis by BRUNO MELCHER Approved as to style and content by: ' f J David...
Roweis, Sam
Multiple Alignment of Continuous Time Series Jennifer Listgarten + , Radford M. Neal + , Sam T of continuousvalued time series from a stochastic process often contain systematic variations in rate time series generated by a noisy, stochastic process, large sys tematic sources of variability
Documentation of the Hourly Time Series NCEP Climate Forecast System Reanalysis
- 1 - Documentation of the Hourly Time Series from the NCEP Climate Forecast System Reanalysis: ------------------------------------------------------------------------------------------------------------ Initial condition 1 Jan 1979, 0Z Record 1: f00: forecast at first time step of 3 mins Record 2: f01: forecast (either averaged over 0 to 1 hour, or instantaneous at 1 hour) Record 3: f02: forecast (either
Melting of small Arctic ice caps observed from ERS scatterometer time series
Smith, Laurence C.
Melting of small Arctic ice caps observed from ERS scatterometer time series Laurence C. Smith,1 of melt onset can be observed over small ice caps, as well as the major ice sheets and multi-year sea ice for 14 small Arctic ice caps from 19922000. Interannual and regional variability in the timing of melt
Forecasting of preprocessed daily solar radiation time series using neural networks
Boyer, Edmond
Forecasting of preprocessed daily solar radiation time series using neural networks Christophe prediction of global solar radiation on a horizontal surface. First results are promising with nRMSE ~ 21 t or at day d and year y d H0 Extraterrestrial solar radiation coefficient for day d [MJ/mÂ²] xt, xd,y Time
Sun, Xiaoran, E-mail: sxr0806@gmail.com [Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055 (China) [Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055 (China); School of Mathematics and Statistics, The University of Western Australia, Crawley WA 6009 (Australia); Small, Michael, E-mail: michael.small@uwa.edu.au [School of Mathematics and Statistics, The University of Western Australia, Crawley WA 6009 (Australia)] [School of Mathematics and Statistics, The University of Western Australia, Crawley WA 6009 (Australia); Zhao, Yi [Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055 (China)] [Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055 (China); Xue, Xiaoping [Department of Mathematics, Harbin Institute of Technology, Harbin 150025 (China)] [Department of Mathematics, Harbin Institute of Technology, Harbin 150025 (China)
2014-06-15T23:59:59.000Z
In this work, we propose a novel method to transform a time series into a weighted and directed network. For a given time series, we first generate a set of segments via a sliding window, and then use a doubly symbolic scheme to characterize every windowed segment by combining absolute amplitude information with an ordinal pattern characterization. Based on this construction, a network can be directly constructed from the given time series: segments corresponding to different symbol-pairs are mapped to network nodes and the temporal succession between nodes is represented by directed links. With this conversion, dynamics underlying the time series has been encoded into the network structure. We illustrate the potential of our networks with a well-studied dynamical model as a benchmark example. Results show that network measures for characterizing global properties can detect the dynamical transitions in the underlying system. Moreover, we employ a random walk algorithm to sample loops in our networks, and find that time series with different dynamics exhibits distinct cycle structure. That is, the relative prevalence of loops with different lengths can be used to identify the underlying dynamics.
Hall, D.L.; Gardenier, T.K.; Slavich, A.L.
1984-10-01T23:59:59.000Z
This report deals specifically with changes made to the survey forms in January 1981 and the resulting changes to the data-time series. Naturally, when a series has changed at some time point, the data after the change are no longer comparable to those before. In many cases, though, comparisons are desired that use pre- and post-intervention data as a series. It is thus necessary to have a methodology for updating the older data so that such comparisons can be made validly. To produce this methodology, the particular intervention must be modeled. However, when attempting to analyze one particular intervention, other types of interventions must be considered also. If effects of the other interventions can be modeled, the overall variability of the series can be reduced and the intervention of interest can be better isolated. Thus, in the following, we discuss (in addition to the format modifications of the forms) the trends and changes noted in the JPRS since January 1976 to December 1982. The year 1976 was chosen since it corresponds to the first year for which microdata are computerized in a universal format in the JPRS master files. We discuss, in particular, changes to the data series for inventories of: (a) motor gasoline, (b) distillate oil, (c) residual fuel oil, and (d) crude oil. These are the series studied in detail in subsequent sections of this report.
TIME SERIES MODELS OF THREE SETS OF RXTE OBSERVATIONS OF 4U 1543-47
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
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.
CHANGE OF STRUCTURE IN FINANCIAL TIME SERIES, LONG RANGE DEPENDENCE AND THE GARCH MODEL
Mikosch, Thomas
CHANGE OF STRUCTURE IN FINANCIAL TIME SERIES, LONG RANGE DEPENDENCE AND THE GARCH MODEL THOMAS having as limit a Gaussian #12;eld. In the case of GARCH(p; q) processes a statistic closely related limit theorem for this statistic under the hypothesis of a GARCH(p; q) sequence with a #12;nite 4th
Volatility Forecasts in Financial Time Series with HMM-GARCH Models
Chen, Yiling
Volatility Forecasts in Financial Time Series with HMM-GARCH Models Xiong-Fei Zhuang and Lai {xfzhuang,lwchan}@cse.cuhk.edu.hk Abstract. Nowadays many researchers use GARCH models to generate of the two parameters G1 and A1[1], in GARCH models is usually too high. Since volatility forecasts in GARCH
SEAWIFS VALIDATION AT THE CARIBBEAN TIME SERIES STATION (CATS) Jess Lee-Borges* and Roy Armstrong
Gilbes, Fernando
SEAWIFS VALIDATION AT THE CARIBBEAN TIME SERIES STATION (CATS) JesÃºs Lee-Borges* and Roy Armstrong. This is of particular importance to areas such as the Eastern Caribbean which has traditionally been viewed the dynamic nature of the northeastern Caribbean, underscoring the significant effect of periodic intrusions
Time-series comparisons of MIPAS Level 2 products with climatology
Oxford, University of
Time-series comparisons of MIPAS Level 2 products with climatology V. Payne, A. Dudhia, C. Piccolo) for the calculation of the means. Here we compare these monthly means with reference climatologies for each that MIPAS has been operating. The reference climatologies used in these comparisons are the COSPAR Reference
The 30-year TAMSAT African Rainfall Climatology1 And Time-series (TARCAT) Dataset
Allan, Richard P.
Page 1 The 30-year TAMSAT African Rainfall Climatology1 And Time-series (TARCAT) Dataset 2 Authors 2 Key points1 Development of a satellite based 30 year rainfall dataset for Africa2 The dataset has been designed to be temporally consistency3 The dataset skilfully captures interannual
Directed Monitoring Using Cuscore Charts for Seasonal Time Series Harriet Black Nembhard*
Nembhard, Harriet Black
a special cause in a process, statistical process control (SPC) charts are traditionally used. If the data1 Directed Monitoring Using Cuscore Charts for Seasonal Time Series Harriet Black Nembhard used statistical process control charts to detect special causes are Shewhart and Cusum charts. However
A new measure of phase synchronization for a pair of time series and seizure focus localization
Kaushik Majumdar
2006-12-22T23:59:59.000Z
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.
Recognising Visual Patterns to Communicate Gas Turbine Time-Series Data
Reiter, Ehud
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
Indexing of Time Series by Major Minima and Maxima Eugene Fink
Fink, Eugene
sets: stock prices, air and sea temperatures, and wind speeds. Keywords: Compression, indexing.ics.uci.edu). Wind speeds: We have used daily wind speeds at twelve sites in Ireland, from 1961 to 1978, ob tained. Indexing: The indexing of a timeseries database is based on the notion of major inclines, illustrated
Indexing of Time Series by Major Minima and Maxima Eugene Fink
Fink, Eugene
sets: stock prices, air and sea temperatures, and wind speeds. Keywords: Compression, indexing.ics.uci.edu). Wind speeds: We have used daily wind speeds at twelve sites in Ireland, from 1961 to 1978, ob- tained. Indexing: The indexing of a time-series database is based on the notion of major inclines, illustrated
BN-97-4-4 (RP-875) The Radiant Time Series Cooling
of the proceduresare described in chapters 2 and 10 of the current ASHRAECool#zg and Heating LoadCalculation ManualBN-97-4-4 (RP-875) The Radiant Time Series Cooling Load Calculation Procedure Jeffrey D. Spitler calculations, derived from the heat balancemethod.It effectively replacesall other simpli- fied (non-heat
Bispectral-Based Methods for Clustering Time Series Jane L. Harvill
Ravishanker, Nalini
the ratios. As an example, we apply the method to a set of time series of intensities of gamma-ray bursts, some of which exhibit nonlinear behavior; this enables us to identify gamma-ray bursts that may. As an example, we apply the bispectral-based clustering technique to a set of gamma-ray burst (GRB) intensity
Time Series Prediction by Chaotic Modeling of Nonlinear Dynamical Systems Arslan Basharat+
Central Florida, University of
Inc. Clifton Park, NY, USA arslan.basharat@kitware.com Mubarak Shah+ + University of Central Florida Orlando, FL, USA shah@cs.ucf.edu Abstract We use concepts from chaos theory in order to model nonlinear dynamical systems that exhibit deterministic be- havior. Observed time series from such a system can be em
DAMAGE DETECTION IN A WIND TURBINE BLADE BASED ON TIME SERIES Simon Hoell, Piotr Omenzetter
Boyer, Edmond
DAMAGE DETECTION IN A WIND TURBINE BLADE BASED ON TIME SERIES METHODS Simon Hoell, Piotr Omenzetter, the consequences are growing sizes of wind turbines (WTs) and erections in remote places, such as off in the past years, thus efficient energy harvesting becomes more important. For the sector of wind energy
Hong, Tianzhen
2009-01-01T23:59:59.000Z
Tree Lawrence Berkeley National Laboratory Page 37 California EnergyEnergy Commission EnergyPlus Run Time Analysis Plant Supply Calling Tree (Energy Commission EnergyPlus Run Time Analysis Appendix A – EnergyPlus Call Tree
A Scientific Data Processing Framework for Time Series NetCDF Data
Gaustad, Krista L.; Shippert, Timothy R.; Ermold, Brian D.; Beus, Sherman J.; Daily, Jeffrey A.; Borsholm, Atle; Fox, Kevin M.
2014-10-01T23:59:59.000Z
ARM Data Integrator (ADI) is a framework to streamline the development of scientific algorithms that analyze time-series NetCDF data, and to improve the content and consistency of the output data products produced by these algorithms. ADI achieves these goals by automating the process of retrieving and preparing data for analysis, supporting the definition of output data products through a graphical interface, and providing a modular, flexible software development architecture. The input data, preprocessing, and output data specifications are defined through a graphical interface and stored in a database. ADI also includes a workflow for data integration, a library of software modules to support the workflow, and a source code generator that produces C, IDL and Python templates. Data preparation support includes automated retrieval of data from input files, merging the retrieved data into appropriately sized chunks, and transformation of the data onto a common coordinate system grid. Through the graphical interface, users can view the details of both their data products and those in the ARM catalog. The variable and attribute definitions of the existing data products can be used to build new output data products. In addition, the rules that make up the ARM archive’s data standards are laid on top of the view of the new data product providing the user with a visual cue indicating where their output violates an archive standard. The necessary configurations are stored in a database that is accessed by the ADI libraries. This paper discusses the ADI framework, its supporting components, and how ADI can significantly decrease the time and cost of implementing scientific algorithms while improving the ability of scientists to disseminate their results.
Detecting and interpreting distortions in hierarchical organization of complex time series
Dro?d?, Stanis?aw
2015-01-01T23:59:59.000Z
Hierarchical organization is a cornerstone of complexity and multifractality constitutes its central quantifying concept. For model uniform cascades the corresponding singularity spectra are symmetric while those extracted from empirical data are often asymmetric. Using the selected time series representing such diverse phenomena like price changes and inter-transaction times in the financial markets, sentence length variability in the narrative texts, Missouri River discharge and Sunspot Number variability as examples, we show that the resulting singularity spectra appear strongly asymmetric, more often left-sided but in some cases also right-sided. We present a unified view on the origin of such effects and indicate that they may be crucially informative for identifying composition of the time series. One particularly intriguing case of this later kind of asymmetry is detected in the daily reported Sunspot Number variability. This signals that either the commonly used famous Wolf formula distorts the real d...
Springer Briefs in Energy Analysis A new series of books edited by
Hall, Charles A.S.
Springer Briefs in Energy Analysis A new series of books edited-world deployments of new technologies. Springer Briefs in Energy Analysis will cover into the role of energy in society with an emphasis on the methods
Ruoxi Xiang; Michael Small
2014-06-18T23:59:59.000Z
In this work, the topologies of networks constructed from time series from an underlying system undergo a period doubling cascade have been explored by means of the prevalence of different motifs using an efficient computational motif detection algorithm. By doing this we adopt a refinement based on the $k$ nearest neighbor recurrence-based network has been proposed. We demonstrate that the refinement of network construction together with the study of prevalence of different motifs allows a full explosion of the evolving period doubling cascade route to chaos in both discrete and continuous dynamical systems. Further, this links the phase space time series topologies to the corresponding network topologies, and thus helps to understand the empirical "superfamily" phenomenon, as shown by Xu.
Symbolic analysis of non-stationary time series
Tracy, Eugene R.
/control of period doubling bifurcations in internal combustion engines, classification of dynamics of fluidized bed, the system loses stability at some tfixed point unstable fixed point #12;Sherwood Meeting, Atlanta, March 1999 8 )t(r),t())t(,r(fr +-=+= 2&& ),r(f c
Symbolic Dynamic Analysis of Transient Time Series for Fault
Ray, Asok
. A recently developed data-driven technique, called the symbolic dynamic filtering (SDF) [8], has been shown), and Bayesian techniques [9]. Recently, in a two-part paper [10,11], an SDF-based algorithm for detection- stationarity made in SDF. Due to this assumption, SDF may not be able to adequately handle transient data
Spectral Analysis of Univariate and Bivariate Time Series
Percival, Don
be nonnegative, and hence the sdf SX(Â·) is a nonnegative function of frequency. Large values of the sdf tell us glossed over many details here, including the fact that a `proper' sdf does not exist for some stationary] for a heuristic development.) Because {Xt} is a real-valued process, the sdf is an even function; i.e., SX
Subba Rao, Suhasini
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
Learning Dynamic Systems From Time-Series Data - An Application to Gene Regulatory Networks
Timoteo, Ivo J. P. M.; Holden, Sean B.
2015-01-01T23:59:59.000Z
the second half of the time-series data provided; that is, from the point when the pertur- bation is lifted, as we do not know the exact nature of the perturbation. The DREAM4 Challenge evaluated performance using the p-values for the area under the ROC curve... ., and Druzdzel, M. (2010). Learn- ing why things change: The difference-based causal- ity learner. In Proceedings of the Twenty-Sixth An- nual Conference on Uncertainty in Artificial Intelli- gence (UAI). Yip, K., Alexander, R., Yan, K., and Gerstein, M. (2010...
Sandia National Laboratories: virtual time series of solar power-plant
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administrationcontroller systems controller systems Scaled Wind Farmoutput virtual time series
Fernandez, Thomas
@prl.res.in these time series using random matrix theory. In partic- ular, analysis of the cross-correlations between behavior between stocks of different companies. This behavior can manifest in the composite stock price
Voyant, Cyril; Muselli, Marc; Paoli, Christophe; Nivet, Marie Laure
2014-01-01T23:59:59.000Z
When a territory is poorly instrumented, geostationary satellites data can be useful to predict global solar radiation. In this paper, we use geostationary satellites data to generate 2-D time series of solar radiation for the next hour. The results presented in this paper relate to a particular territory, the Corsica Island, but as data used are available for the entire surface of the globe, our method can be easily exploited to another place. Indeed 2-D hourly time series are extracted from the HelioClim-3 surface solar irradiation database treated by the Heliosat-2 model. Each point of the map have been used as training data and inputs of artificial neural networks (ANN) and as inputs for two persistence models (scaled or not). Comparisons between these models and clear sky estimations were proceeded to evaluate the performances. We found a normalized root mean square error (nRMSE) close to 16.5% for the two best predictors (scaled persistence and ANN) equivalent to 35-45% related to ground measurements. F...
Multi-horizon solar radiation forecasting for Mediterranean locations using time series models
Voyant, Cyril; Muselli, Marc; Nivet, Marie Laure
2013-01-01T23:59:59.000Z
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 ...
A Software Tool for Processing the Displacement Time Series Extracted from Raw Radar Data
Coppi, Francesco; Paolo Ricci, Pier [IDS Ingegneria Dei Sistemi S.p.A., Pisa (Italy); Gentile, Carmelo [Politecnico di Milano, Dept. of Structural Engineering, Milan (Italy)
2010-05-28T23:59:59.000Z
The application of high-resolution radar waveform and interferometric principles recently led to the development of a microwave interferometer, suitable to simultaneously measuring the (static or dynamic) deflection of several points on a large structure. From the technical standpoint, the sensor is a Stepped Frequency Continuous Wave (SF-CW), coherent radar, operating in the K{sub u} frequency band.In the paper, the main procedures adopted to extract the deflection time series from raw radar data and to assess the quality of data are addressed, and the MATLAB toolbox developed is described. Subsequently, other functions implemented in the software tool (e.g. evaluation of the spectral matrix of the deflection time-histories, identification of natural frequencies and operational mode shapes evaluation) are described and the application to data recorded on full-scale bridges is exemplified.
Atlantic Time-Series Study (BATS) site David M. Glover,1 Scott C. Doney,2 Arthur J. Mariano,3 Robert H errors, and unresolved three-dimensional effects [Glover and Doney, 1996; Glover et al., 1998]. The appro
Studying complex tourism systems: a novel approach based on networks derived from a time series
Baggio, Rodolfo
2013-01-01T23:59:59.000Z
A tourism destination is a complex dynamic system. As such it requires specific methods and tools to be analyzed and understood in order to better tailor governance and policy measures for steering the destination along an evolutionary growth path. Many proposals have been put forward for the investigation of complex systems and some have been successfully applied to tourism destinations. This paper uses a recent suggestion, that of transforming a time series into a network and analyzes it with the objective of uncovering the structural and dynamic features of a tourism destination. The algorithm, called visibility graph, is simple and its implementation straightforward, yet it is able to provide a number of interesting insights. An example is worked out using data from two destinations: Italy as a country and the island of Elba, one of its most known areas.
Fractal analysis of time varying data
Vo-Dinh, Tuan (Knoxville, TN); Sadana, Ajit (Oxford, MS)
2002-01-01T23:59:59.000Z
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.
Forecasting of preprocessed daily solar radiation time series using neural networks
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
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)
Riccardo Borghi; Ernst Joachim Weniger
2014-05-10T23:59:59.000Z
Sequence transformations are valuable numerical tools that have been used with considerable success for the acceleration of convergence and the summation of diverging series. However, our understanding of their theoretical properties is far from satisfactory. The Euler series $\\mathcal{E}(z) \\sim \\sum_{n=0}^{\\infty} (-1)^n n! z^n$ is a very important model for the ubiquitous factorially divergent perturbation expansions in physics. In this article, we analyze the summation of the Euler series by Pad\\'e approximants and the delta transformation [E. J. Weniger, Comput. Phys. Rep. Vol.10, 189 (1989), Eq. (8.4-4)] which is a powerful nonlinear Levin-type transformation that works very well in the case of strictly alternating convergent or divergent series. Our analysis is based on a new factorial series representation of the truncation error of the Euler series [R. Borghi, Appl. Num. Math. Vol.60, 1242 (2010)]. We derive explicit expressions for the transformation errors of Pad\\'e approximants and of the delta transformation. A subsequent asymptotic analysis proves \\emph{rigorously} the convergence of both Pad\\'e and delta. Our asymptotic estimates clearly show the superiority of the delta transformation over Pad\\'e. This is in agreement with previous numerical results.
Roweis, Sam
Multiple Alignment of Continuous Time Series Jennifer Listgarten y , Radford M. Neal y , Sam T of continuousvalued time series from a stochastic process often contain systematic variations in rate time series generated by a noisy, stochastic process, large sys tematic sources of variability
Reverberation mapping of active galactic nuclei : The SOLA method for time-series inversion
Frank P. Pijpers; Ignaz Wanders
1994-06-27T23:59:59.000Z
In this paper a new method is presented to find the transfer function of the broad-line region in active galactic nuclei. The subtractive optimally localized averages (SOLA) method is a modified version of the Backus-Gilbert method and is presented as an alternative to the more often used maximum-entropy method. The SOLA method has been developed for use in helioseismology. It has been applied to the solar oscillation frequency splitting data currently available to deduce the internal rotation rate of the sun. The original SOLA method is reformulated in the present paper to cope with the slightly different problem of inverting time series. We use simulations to test the viability of the method and apply the SOLA method to the real data of the Seyfert-1 galaxy NGC 5548. We investigate the effects of measurement errors and how the resolution of the TF critically depends upon both the sampling rate and the photometric accuracy of the data. A uuencoded compressed postscript file of the paper which includes the figures is available by anonymous ftp at ftp://solaris.astro.uu.se/pub/articles/atmos/frank/PijWan.uue
Statnikov, Alexander
, smoking and coughing might be both predictive of respiratory disease and helpful for diagnosis purposes. However, if smoking is a cause and coughing a conse- quence, acting on the cause (smoking) can change your health status, but not acting on the symptom or consequence (coughing). Thus it is extremely important
Timing analysis of PWR fuel pin failures
Jones, K.R.; Wade, N.L.; Katsma, K.R.; Siefken, L.J. (EG and G Idaho, Inc., Idaho Falls, ID (United States)); Straka, M. (Halliburton NUS, Idaho Falls, ID (United States))
1992-09-01T23:59:59.000Z
This report discusses research conducted to develop and demonstrate a methodology for calculation of the time interval between receipt of the containment isolation signals and the first fuel pin failure for loss-of-coolant accidents (LOCAs). Demonstration calculations were performed for a Babcock and Wilcox (B W) design (Oconee) and a Westinghouse (W) four-loop design (Seabrook). Sensitivity studies were performed to assess the impacts of fuel pin burnup, axial peaking factor, break size, emergency core cooling system availability, and main coolant pump trip on these times. The analysis was performed using the following codes: FRAPCON-2, for the calculation of steady-state fuel behavior; SCDAP/RELAP5/MOD3 and TRACPF1/MOD1, for the calculation of the transient thermal-hydraulic conditions in the reactor system; and FRAP-T6, for the calculation of transient fuel behavior. In addition to the calculation of fuel pin failure timing, this analysis provides a comparison of the predicted results of SCDAP/RELAP5/MOD3 and TRAC-PF1/MOD1 for large-break LOCA analysis. Using SCDAP/RELAP5/MOD3 thermal-hydraulic data, the shortest time intervals calculated between initiation of containment isolation and fuel pin failure are 10.4 seconds and 19.1 seconds for the B W and W plants, respectively. Using data generated by TRAC-PF1/MOD1, the shortest intervals are 10.3 seconds and 29.1 seconds for the B W and W plants, respectively. These intervals are for a double-ended, offset-shear, cold leg break, using the technical specification maximum peaking factor and applied to fuel with maximum design burnup. Using peaking factors commensurate with actual burnups would result in longer intervals for both reactor designs. This document provides appendices K and L of this report which provide plots for the timing analysis of PWR fuel pin failures for Oconee and Seabrook respectively.
Radeloff, Volker C.
Reconstructing long time series of burned areas in arid grasslands of southern Russia by satellite of Sciences, 33 Leninskiy prospect, Moscow, 119071 Russia a b s t r a c ta r t i c l e i n f o Article history: AVHRR MODIS RESURS Landsat Burned area mapping Southern Russia Arid grasslands Grazing Fire
A Fuzzy-Convolution Model for Physical Action and Behaviour Pattern Recognition of 3D Time Series
Hu, Huosheng
A Fuzzy-Convolution Model for Physical Action and Behaviour Pattern Recognition of 3D Time Series-- Pattern Classification, Action Recognition, Fuzzy Classifiers, Signal Convolution. I. INTRODUCTION researchers in pattern recognition on the field of intelligent surveillance. Fuzzy logic has been extensively
Iriarte, Jose Luis
1994-01-01T23:59:59.000Z
Micro-phytoplankton (>20 gm cell size) was sampled in the upper 200 m of the water column at the Pacific equator, 140'W, during two JGOFS EqPac Time Series Studies, in order to determine the changes in the micro-phytoplanlcton assemblage between...
Rabatel, Antoine
measurements. A recent time series of images from optical and SAR data are selected on 3 outlet glaciers well-scale areas. The limitations are cloudiness for optical data and high slope distortion on SAR images. I resolution, repeat coverage, radiometric calibration and stereo capabilities (automatic generation of DEM
Kirchner, James W.
High-frequency precipitation and stream water quality time series from Plynlimon, Wales: an openly Colin Vincent,6 Kathryn Lehto,6 Simon Grant,2 Jeremy Williams,7 Margaret Neal,1 Heather Wickham,1 Sarah-element high- frequency water quality data set that is openly accessible to the research community. The data
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
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.
Fluorescence spectrum analysis using Fourier series modeling for Fluorescein solution in Ethanol
Hadi, Mahasin F
2011-01-01T23:59:59.000Z
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.
WBI Ceilometer/MLH andWBI Ceilometer/MLH and CO2 Time Series
Stanier, Charlie
99 m 420 460 mole/mole 99 m 379 m 340 380 CO2um Time where tower levels 1&2 become well mixed Time/mole 99 m 379 m 340 380 CO2um Time where tower levels 1&2 become well mixed Time where tower levels 1 379 m 340 380 CO2um Time where tower levels 1&2 become well mixed Time where tower levels 1-3 become
Balankin, A S; Balankin, Alexander S.
2005-01-01T23:59:59.000Z
We present empirical evidence that the range of random time series associated with the tangled nature model of evolution exhibits a devils staircase like behavior characterized by logarithmic trend and the universal multi-affine spectrum of scaling exponents xi_c of q leq q_c moments of q-order height-height correlations, whereas for q > q_c the moments behaves logarithmically.
Data Tools & Models - Time Series - U.S. Energy Information Administration
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOffice ofINL is aID Service First DOI
Sripada, Yaji
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
Time series study of urban rainfall suppression during clean-up periods
Geng, Jun
2009-05-15T23:59:59.000Z
The effect on urban rainfall of pollution aerosols is studied both by data analysis and computational simulation. Our study examines data for urban areas undergoing decadal clean-up. We compare the annual precipitation between polluted sites...
Time series study of urban rainfall suppression during clean-up periods
Geng, Jun
2008-10-10T23:59:59.000Z
The effect on urban rainfall of pollution aerosols is studied both by data analysis and computational simulation. Our study examines data for urban areas undergoing decadal clean-up. We compare the annual precipitation between polluted sites...
Extreme Value Analysis and Ventures into Space and Time
Gilleland, Eric
Extreme Value Analysis and Ventures into Space and Time 15 Center for Atmospheric Research Copyright NCAR 2013 #12;Extreme Value Analysis'arrive jamais" --Emil Gumbel Copyright NCAR 2013 Extreme Value Analysis #12;Copyright
Non-homogeneous hidden Markov-switching models for wind time series
Brest, UniversitÃ© de
of wind direction in [27]. However HMMs assume that the successive observations are conditionally conditions at successive time steps for the dataset considered in this work. Markov-Switching Auto
Private and Dynamic Time-Series Data Aggregation with Trust Relaxation
of users along a specific time period. These statistics can then help the energy provider perform various operations such as load balancing and forecasting for potential acquirement. Despite its merits, statistical analyzer to compute global statistics over the set of individual inputs that are protected by some
DePaolo, Donald J.; Maher, Kate; Christensen, John N.; McManus,Jerry
2006-06-05T23:59:59.000Z
High precision uranium isotope measurements of marineclastic sediments are used to measure the transport and storage time ofsediment from source to site of deposition. The approach is demonstratedon fine-grained, late Pleistocene deep-sea sediments from Ocean DrillingProgram Site 984A on the Bjorn Drift in the North Atlantic. The sedimentsare siliciclastic with up to 30 percent carbonate, and dated by sigma 18Oof benthic foraminifera. Nd and Sr isotopes indicate that provenance hasoscillated between a proximal source during the last three interglacialperiods volcanic rocks from Iceland and a distal continental sourceduring glacial periods. An unexpected finding is that the 234U/238Uratios of the silicate portion of the sediment, isolated by leaching withhydrochloric acid, are significantly less than the secular equilibriumvalue and show large and systematic variations that are correlated withglacial cycles and sediment provenance. The 234U depletions are inferredto be due to alpha-recoil loss of234Th, and are used to calculate"comminution ages" of the sediment -- the time elapsed between thegeneration of the small (<_ 50 mu-m) sediment grains in the sourceareas by comminution of bedrock, and the time of deposition on theseafloor. Transport times, the difference between comminution ages anddepositional ages, vary from less than 10 ky to about 300 to 400 ky forthe Site 984A sediments. Long transport times may reflect prior storagein soils, on continental shelves, or elsewhere on the seafloor. Transporttime may also be a measure of bottom current strength. During the mostrecent interglacial periods the detritus from distal continental sourcesis diluted with sediment from Iceland that is rapidly transported to thesite of deposition. The comminution age approach could be used to dateQuaternary non-marine sediments, soils, and atmospheric dust, and may beenhanced by concomitant measurement of 226Ra/230Th, 230Th/234U, andcosmogenic nuclides.
Hong, Tianzhen
2009-01-01T23:59:59.000Z
integrated heat balance calculations for loads, systems, andintegrated heat balance calculations for loads, systems, andloads calculation time steps per hour, the model solution algorithms (envelope heat
Zeng, Donglin
Cosines The data this time will be the Motorcycle Acceleration Data: A data frame giving a series of measurements of head acceleration in a simulated motorcycle accident, used to test crash helmets. Usage: data
Hong, Tianzhen; Buhl, Fred; Haves, Philip
2008-09-20T23:59:59.000Z
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.
Effect of uneven sampling on correlation dimension computed from time series data
Sandip V. George; G. Ambika; R. Misra
2014-10-16T23:59:59.000Z
Observational data, especially astrophysical data, is often limited by uneven sampling that arises due to lack of observations for a variety of reasons. Such inadvertent gaps are usually smoothed over using interpolation techniques. However the smoothing techniques can introduce artificial effects, especially when non-linear analysis is undertaken. We investigate how uneven sampling can affect the computed values of correlation dimension of the system, without using any interpolation. For this we introduce gaps artificially in synthetic data derived from standard chaotic systems, like the Rossler and Lorenz, with frequency of occurrence and size of missing data drawn from Gaussian distributions. Then we study the changes in correlation dimension with change in the distributions of frequency of gaps introduced and size of data removed. We find that for a considerable range of gap frequency and size, the value of correlation dimension is not significantly affected. This would mean that in such specific cases, the calculated values can still be reliable and acceptable. Thus our study introduces a method of checking the reliability of computed correlation dimension values by calculating the distribution of gaps with respect to its size and frequency and comparing with the standard plots presented in the paper. This is illustrated for real world examples of the data from three variable stars, R Scuti, U Monocerotis and SU Tauri. We also demonstrate how a cubic spline interpolation can cause an unevenly sampled noisy data to be misinterpreted as being chaotic in origin. This is demonstrated for the non chaotic light curve of variable star SS Cygni, which gives a saturated D2 value, when interpolated using a cubic spline.
Mitchell, Christopher J [Los Alamos National Laboratory; Ahrens, James P [Los Alamos National Laboratory; Wang, Jun [UCF
2010-10-15T23:59:59.000Z
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.
Time-Frequency Analysis as Probabilistic Inference
Turner, Richard E.
2014-11-06T23:59:59.000Z
(see supplementary material). The computational complexity is determined by the cost of the Kalman smoother to be . In practice, optimization of the likelihood by the conjugate gradient algorithm converged far more quickly than alternatives like... -varying) signal-de- pendent adaptation of the representation. Similarly, corruption of a signal by noise or missing samples should introduce uncer- tainty into the values of the time-frequency representation; but again, no unified robust method exists...
Towards Interactive Timing Analysis for Designing Reactive Systems
Towards Interactive Timing Analysis for Designing Reactive Systems Insa Fuhrmann David Broman Steven Smyth Reinhard von Hanxleden Electrical Engineering and Computer Sciences University of California Interactive Timing Analysis for Designing Reactive Systems Insa Fuhrmann1 , David Broman2,3 , Steven Smyth1
Time series association learning
Papcun, George J. (Santa Fe, NM)
1995-01-01T23:59:59.000Z
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.
FernÃ¡ndez de CÃ³rdoba, Pedro
Performance analysis of a series of hermetic reciprocating compressors working with R290 (propane with propane as refrigerant are analyzed in terms of the compressor model developed by [E. Navarro, E. Granryd. In addition, a comparison study between propane and R407C was carried out for one compressor and the observed
Time Regions and Effects for Resource Usage Analysis Naoki Kobayashi
Kobayashi, Naoki
Time Regions and Effects for Resource Usage Analysis Naoki Kobayashi Tokyo Institute of Technology combines the merits of two major previous approaches to typeÂbased analysis of resource usage -- linear Types, E#ects, Program Analysis, Resource Usage 1. INTRODUCTION Various resources and library functions
Time Regions and Effects for Resource Usage Analysis Naoki Kobayashi
Kobayashi, Naoki
Time Regions and Effects for Resource Usage Analysis Naoki Kobayashi Tokyo Institute of Technology analysis combines the merits of two major previous approaches to typeÂbased analysis of resource usage be eventually released. To ensure correct usage of resources, a number of type systems have been proposed
Analysis of Wind Power and Load Data at Multiple Time Scales
Coughlin, Katie; Eto, J.H.
2010-12-20T23:59:59.000Z
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.
Finite time analysis of an endoreversible fuel cell A. Vaudrey
Paris-Sud XI, Université de
Finite time analysis of an endoreversible fuel cell A. Vaudrey , P. Baucour, F. Lanzetta, R of this paper consists in a detailed thermodynamical description of a fuel cell, using finite time thermodynamics (FTT). Starting from the comparison beetween a reversible fuel cell and a Carnot heat engine
Analysis of a time-of-flight neutron spectrometer
Biggs, F.
1983-12-01T23:59:59.000Z
A neutron spectrometer is analyzed. The spectrum is resolved using a time-of-flight method in which the angular position of a rapidly spinning wheel is used to measure time. The measurement method is summarized, the data-analysis problem is formulated, units are discussed, the calibration technique is described, and a spectral transformation is developed.
Paris-Sud XI, UniversitÃ© de
Seismic Response Analysis of Different Buildings using Time- Invariant and Time- Variant Damping@obs.ujf-grenoble.fr Abstract Seismic signals are characterized by strong excitations, short durations, non-linearity and non has been introduced to help in adapting to the seismic signals where the amplitude is damped
A versatile real-time spectral analysis system
Hancock, Mark Steven
2012-06-07T23:59:59.000Z
. CONCLUSIONS AND RECOMMENDATIONS REFERENCES APPENDIX A. MINDOWING APPENDIX B. CCD TRANSVERSAL FILTERS VITA Page 65 71 73 81 92 93 105 105 106 106 108 112 114 134 170 LIST OF FIGURES Figure 1. Filterbank Technique for Spectral Analysis 2... 1. Filter Bank Technique 2. Sliding Filter Technique 3. Dispersive Filter Technique 4. Discrete Fourier Transform Techniques B. Applications Requiring Spectral Analysis . . 1. Real-Time Radar Scatterometer Data Processing 2. Chirp FN Radar Data...
Coalbed-methane pilots - timing, design, and analysis
Roadifer, R.D.; Moore, T.R.
2009-10-15T23:59:59.000Z
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.
Time Series Analysis c 2005 Prof. Yuh-Dauh Lyuu, National Taiwan University Page 708
Lyuu, Yuh-Dauh
be estimated by statistical techniques. c 2005 Prof. Yuh-Dauh Lyuu, National Taiwan University Page 717 GARCH heteroskedastic (GARCH) process. · The simplest GARCH(1, 1) process adds a2V 2 t-1 to the ARCH(1) process
Visual Market Sector Analysis for Financial Time Series Data Hartmut Ziegler1
Reiterer, Harald
of the stock market in 2008/2009, the United States housing bubble, and the 2010 Euro- pean sovereign debt. A simple start to better understand the behavior of financial markets is to observe historical events ("Dot
Time series analysis of regional climate model performance Jason P. Evans
Evans, Jason
in Kansas, United States, including the First International Satellite Land Surface Climatology Project, both regional and global, has become apparent. Predictions of the energy and water balance to evapotranspiration and fails to close the energy budget. All of the models overestimate runoff and evapotranspiration
A Daily Time Series Analysis of Stream Water Phosphorus Concentrations Along an
Brett, Michael T.
, and coastal area eutrophication in the United States (NRC 1992; USEPA 1996; Carpenter and others 1998 eutrophication (Vollenweider 1976; Schindler 1977; Edmondson 1994). Increased nutrient inputs can stimulate with eutrophication, can also cause taste and odor problems in drinking water supplies (Falconer 1999), and toxins
R.H. Shumway and D.S. Stoffer Time Series Analysis and Its Applications
.1) and below: Write wti instead of wit, and write cov(wti, wtj) instead of cov(wit, wjt) for consistency. Â· p
EXTREME VALUE ANALYSIS FOR CLIMATE TIME SERIES Institute for Mathematics Applied to Geosciences
Katz, Richard
Approach (Extremes + Non-Extremes) (8) Risk Communication under Climate Change #12;4 (1) Background Â· Use.isse.ucar.edu/staff/katz/ Lecture: Â·Â·Â·/staff/katz/docs/pdf/banffrwk.pdf #12;2 Quote "Climate change undermines a basic assumption Cycles (annual, diurnal) Trends (global climate change) Physically-based covariates (e. g., El NiÃ±o
Quantification of depth of anesthesia by nonlinear time series analysis of brain electrical activity
G. Widman; T. Schreiber; B. Rehberg; A. Hoeft; C. E. Elger
2000-07-20T23:59:59.000Z
We investigate several quantifiers of the electroencephalogram (EEG) signal with respect to their ability to indicate depth of anesthesia. For 17 patients anesthetized with Sevoflurane, three established measures (two spectral and one based on the bispectrum), as well as a phase space based nonlinear correlation index were computed from consecutive EEG epochs. In absence of an independent way to determine anesthesia depth, the standard was derived from measured blood plasma concentrations of the anesthetic via a pharmacokinetic/pharmacodynamic model for the estimated effective brain concentration of Sevoflurane. In most patients, the highest correlation is observed for the nonlinear correlation index D*. In contrast to spectral measures, D* is found to decrease monotonically with increasing (estimated) depth of anesthesia, even when a "burst-suppression" pattern occurs in the EEG. The findings show the potential for applications of concepts derived from the theory of nonlinear dynamics, even if little can be assumed about the process under investigation.
Statistical Analysis and Time Series Models for Minimum/Maximum Temperatures
Sidorov, Nikita
temperatures, thereby reducing the adverse effect of global warming in the Antarctic Peninsula. Keywords that the observed increase in the minimum temperatures is a consequence of human activity rather than natural causes
Time-series analysis of high-resolution ebullition fluxes from a stratified, freshwater lake
Varadharajan, Charuleka
[1] Freshwater lakes can emit significant quantities of methane to the atmosphere by bubbling. The high spatial and temporal heterogeneity of ebullition, combined with a lack of high-resolution field measurements, has made ...
Use of Long Time-series ACRF Measurements to Improve Data Quality Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched Ferromagnetism inS-4500II Field Emission SEM withSecurityUranium(VI)ARM/NSAUse of
Identification of statistical patterns in complex systems via symbolic time series analysis
Ray, Asok
, and Automation Society. #12;electric power generation plants, petrochemical plants, and networked transportation, petrochemical, and networked transportation. This paper presents an information-theoretic approach
Analysis on the KOSPI200 option from the time-series and cross- sectional perspectives
Jung, Jaewook
2013-01-01T23:59:59.000Z
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% ...
A supply forecasting model for Zimbabwe's corn sector: a time series and structural analysis
Makaudze, Ephias
1993-01-01T23:59:59.000Z
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...
Theoretical and Numerical Analysis of Polarization for Time Dependent Radiative
Bal, Guillaume
transport equation with respect to the polariza- tion parameters solve the matrix-valued radiative transferTheoretical and Numerical Analysis of Polarization for Time Dependent Radiative Transfer Equations@math.stanford.edu Abstract We consider the matrix-valued radiative transfer equations for the Stokes param- eters
Time-domain Dynamics and Stability Analysis of Optoelectronic Oscillators
Paris-Sud XI, UniversitÃ© de
Time-domain Dynamics and Stability Analysis of Optoelectronic Oscillators based on Whispering and Yanne K. Chembo Optoelectronic oscillators (OEOs) are microwave photonics systems in- tended to generate in "" #12;1 Introduction The optoelectronic oscillator (OEO) is nowadays considered as one of the most
Neon time-of-flight backscattering spectrometry for surface analysis
Garcia, Richard Michael
2001-01-01T23:59:59.000Z
OF SCIENCE August 2001 Major Subject: Nuclear Engineering NEON TIME-OF-FLIGHT BACKSCATTERING SPECTROMETRY FOR SURFACE ANALYSIS A Thesis by RICHARD MICHAEL GARCIA Submitted to Texas AkM University in partial fulfillment of the requirements... for the degree of MASTER OF SCIENCE Approved as to style and content by: Ron R. Hart (Chair of Committee) Frederick R. Best (Member) Richard B. Gri fin (Member) Alan E. Waltar (Head of Department) August 2001 Major Subject: Nuclear Engineering...
Ahmad, Sajjad
. Methods of Soil Analysis. Part 5. Mineralogical Methods. SSSA Book Series, no. 5. Chapter 2 Preparing Soils for Mineralogical Analyses D. A. SOUKUP, University of Nevada, Las Vegas B. J. BUCK, University of soil mineralogical analysis. The use of pre- treatments is often necessary to facilitate sample
Toward Real Time Data Analysis for Smart Grids
Yin, Jian; Gorton, Ian; Sharma, Poorva
2012-11-10T23:59:59.000Z
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.
Jensen, Deborah Larkey
2005-02-17T23:59:59.000Z
The purpose of this exploratory case study was to describe an expert teacher?s decision-making system during interactive instruction using teacher self-report information, classroom observation data, and physiological recordings. Timed recordings...
Grzegorz Litak; Rodolfo Taccani; Krzysztof Urbanowicz; Janusz A. Holyst; Miroslaw Wendeker; Alessandro Giadrossi
2004-05-22T23:59:59.000Z
We report our results on non-periodic experimental time series of pressure in a single cylinder spark ignition engine. The experiments were performed for different levels of loading. We estimate the noise level in internal pressure calculating the coarse-grained entropy from variations of maximal pressures in successive cycles. The results show that the dynamics of the combustion is a nonlinear multidimensional process mediated by noise. Our results show that so defined level of noise in internal pressure is not monotonous function of loading.
Egbert, Stephen L.; Martí nez-Meyer, Enrique; Ortega-Huerta, Miguel; Peterson, A. Townsend
2002-06-01T23:59:59.000Z
to be the case, it may be possible to use AVHRR, MODIS, or similar imagery, either in raw form or as easily and cheaply derived datasets, as direct inputs to models that predict species’ distributions. II. METHODS In this pilot analysis, we selected... for Advanced Computational Infrastructure, Earth System Science (NPACI/ESS) Thrust. E.M-M. was supported by a graduate fellowship from the Direccion General de Asuntos del Personal Academico of the National University of Mexico (UNAM...
Wang, Ruofan; Wang, Jiang; Deng, Bin, E-mail: dengbin@tju.edu.cn; Liu, Chen; Wei, Xile [Department of Electrical and Automation Engineering, Tianjin University, Tianjin (China)] [Department of Electrical and Automation Engineering, Tianjin University, Tianjin (China); Tsang, K. M.; Chan, W. L. [Department of Electrical Engineering, The Hong Kong Polytechnic University, Kowloon (Hong Kong)] [Department of Electrical Engineering, The Hong Kong Polytechnic University, Kowloon (Hong Kong)
2014-03-15T23:59:59.000Z
A combined method composing of the unscented Kalman filter (UKF) and the synchronization-based method is proposed for estimating electrophysiological variables and parameters of a thalamocortical (TC) neuron model, which is commonly used for studying Parkinson's disease for its relay role of connecting the basal ganglia and the cortex. In this work, we take into account the condition when only the time series of action potential with heavy noise are available. Numerical results demonstrate that not only this method can estimate model parameters from the extracted time series of action potential successfully but also the effect of its estimation is much better than the only use of the UKF or synchronization-based method, with a higher accuracy and a better robustness against noise, especially under the severe noise conditions. Considering the rather important role of TC neuron in the normal and pathological brain functions, the exploration of the method to estimate the critical parameters could have important implications for the study of its nonlinear dynamics and further treatment of Parkinson's disease.
Modular Sampling and Analysis Techniques for the Real-Time Analysis of Human Breath
Frank, M; Farquar, G; Adams, K; Bogan, M; Martin, A; Benner, H; Spadaccini, C; Steele, P; Davis, C; Loyola, B; Morgan, J; Sankaran, S
2007-07-09T23:59:59.000Z
At LLNL and UC Davis, we are developing several techniques for the real-time sampling and analysis of trace gases, aerosols and exhaled breath that could be useful for a modular, integrated system for breath analysis. Those techniques include single-particle bioaerosol mass spectrometry (BAMS) for the analysis of exhaled aerosol particles or droplets as well as breath samplers integrated with gas chromatography mass spectrometry (GC-MS) or MEMS-based differential mobility spectrometry (DMS). We describe these techniques and present recent data obtained from human breath or breath condensate, in particular, addressing the question of how environmental exposure influences the composition of breath.
Mark W. Coffey
2008-12-09T23:59:59.000Z
We evaluate binomial series with harmonic number coefficients, providing recursion relations, integral representations, and several examples. The results are of interest to analytic number theory, the analysis of algorithms, and calculations of theoretical physics, as well as other applications.
Fisk, William J.; Price, Phillip; Faulkner, David; Sullivan, Douglas; Dibartolomeo, Dennis; Federspiel, Cliff; Liu, Gang; Lahiff, Maureen
2002-01-01T23:59:59.000Z
In previous studies, increased ventilation rates and reduced indoor carbon dioxide concentrations have been associated with improvements in health at work and increased performance in work-related tasks. Very few studies have assessed whether ventilation rates influence performance of real work. This paper describes part one of a two-part analysis from a productivity study performed in a call center operated by a health maintenance organization. Outside air ventilation rates were manipulated, indoor air temperatures, humidities, and carbon dioxide concentrations were monitored, and worker performance data for advice nurses, with 30-minute resolution, were analyzed via multivariate linear regression to look for an association of performance with building ventilation rate, or with indoor carbon dioxide concentration (which is related to ventilation rate per worker). Results suggest that the effect of ventilation rate on worker performance in this call center was very small (probably less than 1%) or nil, over most of the range of ventilation rate experienced during the study (roughly 12 L s{sup -1} to 48 L s{sup -1} per person). However, there is some evidence suggesting performance improvements of 2% or more when the ventilation rate per person is very high, as indicated by indoor CO{sub 2} concentrations exceeding outdoor concentrations by less than 75 ppm.
Boyer, Edmond
in HENDERSON Carol & WEISGRAU Maxine (eds.), Raj Rhapsodies: Tourism, Heritage, and the Seduction of History, Hampshire: Ashgate. Series New Directions in Tourism Analysis. Election and exclusion in the Udaipur Urban Space: implications on tourism Nicolas BautÃ¨s UMR ESO 6590 Â ESO CAEN Introduction
REAL TIME DIGITAL SPECTRAL ANALYSIS AS A PLASMA FLUCTUATION DIAGNOSTIC
Schoenberg, Kurt F.
2012-01-01T23:59:59.000Z
Electric Probes," in Plasma Diagnostic Techniques (R. H.SPECTRAL ANALYSIS AS A PLASMA FLUCTUATION DIAGNOSTIC Kurt F.ANALYSIS AS A PLASMA FLUCTUATION DIAGNOSTIC Kurt F. Lawrence
Analysis of real-time reservoir monitoring : reservoirs, strategies, & modeling.
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
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.
MacDonell, M M; Peterson, J M
1989-05-01T23:59:59.000Z
The US Department of Energy, under its Surplus Facilities Management Program (SFMP), is responsible for cleanup activities at the Weldon-Spring site, located near Weldon Spring, Missouri. The site consists of two noncontiguous areas: (1) a raffinate pits and chemical plant area and (2) a quarry. This engineering evaluation/cost analysis (EE/CA) report has been prepared to support a proposed removal action to manage 15 nonprocess buildings, identified as the 15 Series buildings, at the chemical plant on the Weldon Spring site. These buildings have been nonoperational for more than 20 years, and the deterioration that has occurred during this time has resulted in a potential threat to site workers, the general public, and the environment. The EE/CA documentation of this proposed action is consistent with guidance from the US Environmental Protection Agency (EPA) that addresses removal actions at sites subject to the Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) of 1980, as amended by the Superfund Amendments and Reauthorization Act of 1986. Actions at the Weldon Spring site are subject to CERCLA requirements because the site is on the EPA`s National Priorities List. The objectives of this report are to (1) identify alternatives for management of the nonprocess buildings; (2) document the selection of response activities that will mitigate the potential threat to workers, the public, and the environment associated with these buildings; and (3) address environmental impacts associated with the proposed action.
A time and frequency domain analysis of contrarian trading strategies/
Chaudhuri, Shomesh E
2014-01-01T23:59:59.000Z
This thesis applies time and frequency domain analyses to a high-frequency market making strategy to study the profitability of liquidity provision over multiple time horizons from 1964 to 2013. Using daily returns and ...
ADAPTIVE SHORT-TIME ANALYSIS-SYNTHESIS FOR SPEECH ENHANCEMENT Prabahan Basu, Patrick J. Wolfe
ADAPTIVE SHORT-TIME ANALYSIS-SYNTHESIS FOR SPEECH ENHANCEMENT Prabahan Basu, Patrick J. Wolfe a multiresolution short-time analysis method for speech enhancement. It is well known that fixed reso- lution-synthesis scheme for speech enhance- ment in which the adaptation is based on a measure of local time- frequency
A space-time processing and spectral analysis methodology
Finlay, Christopher
and interpretation of time-longitude plots, frequency-wavenumber power spectra, and of Radon transform methods and very long period field components is described and justified. Finally use of these tools to investigate
Effective time-independent analysis for quantum kicked systems
Jayendra N. Bandyopadhyay; Tapomoy Guha Sarkar
2014-09-04T23:59:59.000Z
We present a mapping of potentially chaotic time-dependent quantum kicked systems to an equivalent effective time-independent scenario, whereby the system is rendered integrable. The time-evolution is factorized into an initial kick, followed by an evolution dictated by a time-independent Hamiltonian and a final kick. This method is applied to the kicked top model. The effective time-independent Hamiltonian thus obtained, does not suffer from spurious divergences encountered if the traditional Baker-Cambell-Hausdorff treatment is used. The quasienergy spectrum of the Floquet operator is found to be in excellent agreement with the energy levels of the effective Hamiltonian for a wide range of system parameters. The density of states for the effective system exhibits sharp peak-like features, pointing towards quantum criticality. The dynamics in the classical limit of the integrable effective Hamiltonian shows remarkable agreement with the non-integrable map corresponding to the actual time-dependent system in the non-chaotic regime. This suggests that the effective Hamiltonian serves as a substitute for the actual system in the non-chaotic regime at both the quantum and classical level.
Distributed Architecture for Real-time Traffic Analysis Cristian Morariu, Burkhard Stiller
Boyer, Edmond
Distributed Architecture for Real-time Traffic Analysis Cristian Morariu, Burkhard Stiller Department of Informatics, University of ZÃ¼rich CH-8050, ZÃ¼rich, Switzerland {morariu, stiller
Contreras, R. [INAF-Osservatorio Astronomico di Bologna, via Ranzani 1, 40127, Bologna (Italy); Catelan, M. [Departamento de AstronomIa y Astrofisica, Pontificia Universidad Catolica de Chile, Av. Vicuna Mackenna 4860, 782-0436 Macul, Santiago (Chile); Smith, H. A.; Kuehn, C. A. [Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824 (United States); Pritzl, B. J. [Department of Physics and Astronomy, University of Wisconsin, Oshkosh, WI 54901 (United States); Borissova, J. [Departamento de Fisica y AstronomIa, Facultad de Ciencias, Universidad de ValparaIso, Ave. Gran Bretana 1111, Playa Ancha, Casilla 5030, ValparaIso (Chile)
2010-12-15T23:59:59.000Z
We present new time-series CCD photometry, in the B and V bands, for the moderately metal-rich ([Fe/H] {approx_equal} -1.3) Galactic globular cluster M62 (NGC 6266). The present data set is the largest obtained so far for this cluster and consists of 168 images per filter, obtained with the Warsaw 1.3 m telescope at the Las Campanas Observatory and the 1.3 m telescope of the Cerro Tololo Inter-American Observatory, in two separate runs over the time span of 3 months. The procedure adopted to detect the variable stars was the optimal image subtraction method (ISIS v2.2), as implemented by Alard. The photometry was performed using both ISIS and Stetson's DAOPHOT/ALLFRAME package. We have identified 245 variable stars in the cluster fields that have been analyzed so far, of which 179 are new discoveries. Of these variables, 133 are fundamental mode RR Lyrae stars (RRab), 76 are first overtone (RRc) pulsators, 4 are type II Cepheids, 25 are long-period variables (LPVs), 1 is an eclipsing binary, and 6 are not yet well classified. Such a large number of RR Lyrae stars places M62 among the top two most RR Lyrae-rich (in the sense of total number of RR Lyrae stars present) globular clusters known in the Galaxy, second only to M3 (NGC 5272) with a total of 230 known RR Lyrae stars. Since this study covers most but not all of the cluster area, it is not unlikely that M62 is in fact the most RR Lyrae-rich globular cluster in the Galaxy. In like vein, thanks to the time coverage of our data sets, we were also able to detect the largest sample of LPVs known so far in a Galactic globular cluster. We analyze a variety of Oosterhoff type indicators for the cluster, including mean periods, period distribution, Bailey diagrams, and Fourier decomposition parameters (as well as the physical parameters derived therefrom). All of these indicators clearly show that M62 is an Oosterhoff type I system. This is in good agreement with the moderately high metallicity of the cluster, in spite of its predominantly blue horizontal branch morphology-which is more typical of Oosterhoff type II systems. We thus conclude that metallicity plays a key role in defining Oosterhoff type. Finally, based on an application of the 'A-method', we conclude that the cluster RR Lyrae stars have a similar He abundance as M3, although more work on the temperatures of the M62 RR Lyrae is needed before this result can be conclusively established.
Analysis of survival times using Bayesian networks Helge Langseth
Langseth, Helge
the OREDA database. 1 INTRODUCTION The proportional hazards model has been the state of the art for analysis-life dataset from the \\O shore REliability DAta" (OREDA) database (Sandtorv et al. 1996), (OREDA-97 1997). The OREDA data collection has been ongoing since the early eighties, and has for the last seven years been
Low energy ion scattering using time-of-flight analysis
Lyttle, David Scott
1987-01-01T23:59:59.000Z
to the conservation laws oi' energy and mo- mentum allow one to predict, post collision energies (flight times) of the colliding particles in terms of their scattering angles, mass ratios, and pre-collision energies. For incident ion energies greater than 10 ke... to longer flight times. The resolution of the spectrometer was insuffecient to resolve the major com- ponents of the stainless steel target (18% Cr, 10% Ni, and 68% Fe). The peak corresponding to these components is labeled "SS". Nitrogen and oxygen...
Schuurmans, Dale
Preprint Series LSEÂMPSÂ67, Dept. of Mathematics, London School of Economics, Houghton St., London WC2A 2AE experiments on identification of transmembrane domains. In Proceedings of the 25th Hawaii International
Model for LMFBR core transient analysis in real-time
Tzanos, C.P.
1986-01-01T23:59:59.000Z
This paper discusses the modeling of LMFBR core transients. It is shown that with a proper choice of shape functions a nodal approximation of the coolant, cladding, and fuel temperature distributions leads to adequately accurate power and temperature predictions, as well as adequately short computation times.
Reservoir analysis using production decline data and adjusted time
McCray, Thomas Lee
1990-01-01T23:59:59.000Z
at constant pressure (after Fetkovich). . . . . . . . . . . . . . . . . . . 43 24 Composite dimensionless cumulative type curve for a well centered in a circular drainage area, producing at constant pressure (after Fraim). . . . . . . . . . 46 25 26..., semi-log analysis becomes more complicated for hyperbolic decline. Also, transient data are of little value in production forecasting. Fetkovich developed a type curve which combined the'transient, and boundary- dominated rate solutions...
Pyrtle, Frank
1999-01-01T23:59:59.000Z
, while minimizing mass. Current technology, such as Radioisotope Thermoelectric Generators (RTG's) are reliable, but do not supply the power conversion efficiencies desired for future space missions. That leads to Alkali Metal Thermal to Electric...-series cells to generate electricity for the deep space vehicle. The higher efficiency of AMTEC compared to other conversion technologies, such as Radioisotope Thermoelectric Generators (RTG's), results in less energy source material being launched...
Model for LMFBR core transient analysis in real time
Tzanos, C.P.
1986-01-01T23:59:59.000Z
Plant safety as well as plant availability can be significantly improved if functions such as data validation, plant state verification, and fault identification are automated. A methodology for automation of these functions was presented in an earlier paper. To implement this methodology, plant models that run significantly faster than real transient time are needed. Such models for the intermediate heat exchanger and a once-through liquid-metal fast breeder reactor (LMFBR) steam generator have been presented. This paper discusses the modeling of LMFBR core transients. It is shown that, with a proper choice of shape functions, a nodal approximation of the coolant, cladding, and fuel temperature distributions leads to adequately accurate power and temperature predictions, as well as adequately short computation times. From the point of view of operational safety, it is desirable to terminate a transient before sodium boiling is initiated in the core. Thus, only the modeling of the preboiling phase of core transients is discussed.
Chang, S -W; Hartman, J D
2015-01-01T23:59:59.000Z
We introduce new methods for robust high-precision photometry from well-sampled images of a non-crowded field with a strongly varying point-spread function. For this work, we used archival imaging data of the open cluster M37 taken by MMT 6.5m telescope. We find that the archival light curves from the original image subtraction procedure exhibit many unusual outliers, and more than 20% of data get rejected by the simple filtering algorithm adopted by early analysis. In order to achieve better photometric precisions and also to utilize all available data, the entire imaging database was re-analyzed with our time-series photometry technique (Multi-aperture Indexing Photometry) and a set of sophisticated calibration procedures. The merit of this approach is as follows: we find an optimal aperture for each star with a maximum signal-to-noise ratio, and also treat peculiar situations where photometry returns misleading information with more optimal photometric index. We also adopt photometric de-trending based on ...
Performance analysis of symbol timing estimators for time-varying MIMO channels
Panduru, Flaviu Gabriel
2004-11-15T23:59:59.000Z
antennas and M denotes the number of receive antennas, the 2 X 2 system used by S.-A. Yangand J. Wu and the 4 X 4system used by Y.-C. Wu and E. Serpedin. The second model has been extended to take into account the symbol time-varying fading. The theoretical...
Analysis of Cardio-respiratory Dynamics during Mental Stress using (Partial) Time-Frequency Spectra
important to determine the mechanisms un- derlying stress. In this paper, we aim at studying the cardio-respiratory to conduct a combined analysis of the cardio-respiratory system. In this study, we will perform cross timeAnalysis of Cardio-respiratory Dynamics during Mental Stress using (Partial) Time-Frequency Spectra
Translation invariant time-dependent massive gravity: Hamiltonian analysis
Jihad Mourad; Karim Noui; Danièle A. Steer
2014-07-10T23:59:59.000Z
The canonical structure of the massive gravity in the first order moving frame formalism is studied. We work in the simplified context of translation invariant fields, with mass terms given by general non-derivative interactions, invariant under the diagonal Lorentz group, depending on the moving frame as well as a fixed reference frame. We prove that the only mass terms which give 5 propagating degrees of freedom are the dRGT mass terms, namely those which are linear in the lapse. We also complete the Hamiltonian analysis with the dynamical evolution of the system.
Generalized redundancies for time series analysis Dean Prichard 1;2a and James Theiler 2;3
Theiler, James
, Nonproliferation and International Security Division, Los Alamos National Laboratory, Los Alamos, NM 87545 3 Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501 (Draft: February 17, 1995) ABSTRACT Extensions
Dominici, Francesca
manufacturers. Funding for Francesca Dominici was provided by a grant from the Health Effects Institute (Walter Effects Institute (HEI), an organization jointly funded by the Environmental Protection Agency (EPA R@jhsph.edu. Acknowledgments: Research described in this article was partially supported by a contract and grant from Health
Dabir, Aditi Sandeep
2010-07-14T23:59:59.000Z
AUTOMATION OF THE LAGUERRE EXPANSION TECHNIQUE FOR ANALYSIS OF TIME-RESOLVED FLUORESCENCE SPECTROSCOPY DATA A Thesis by ADITI SANDEEP DABIR Submitted to the Office of Graduate Studies of Texas A&M University in partial... fulfillment of the requirements for the degree of MASTER OF SCIENCE December 2009 Major Subject: Biomedical Engineering AUTOMATION OF THE LAGUERRE EXPANSION TECHNIQUE FOR ANALYSIS OF TIME-RESOLVED FLUORESCENCE SPECTROSCOPY DATA A Thesis...
Statistical analysis of the electrical breakdown time delay distributions in krypton
Maluckov, Cedomir A.; Karamarkovic, Jugoslav P.; Radovic, Miodrag K.; Pejovic, Momcilo M. [Technical Faculty in Bor, University of Belgrade, Vojske Jugoslavije 24, 19210 Bor (Serbia and Montenegro); Faculty of Civil Engineering and Architecture, University of Nis, Beogradska 14, 18000 Nis (Serbia and Montenegro); Faculty of Sciences and Mathematics, University of Nis, P.O. Box 224, 18001 Nis (Serbia and Montenegro); Faculty of Electronic Engineering, University of Nis, P.O. Box 73, 18001 Nis (Serbia and Montenegro)
2006-08-15T23:59:59.000Z
The statistical analysis of the experimentally observed electrical breakdown time delay distributions in the krypton-filled diode tube at 2.6 mbar is presented. The experimental distributions are obtained on the basis of 1000 successive and independent measurements. The theoretical electrical breakdown time delay distribution is evaluated as the convolution of the statistical time delay with exponential, and discharge formative time with Gaussian distribution. The distribution parameters are estimated by the stochastic modelling of the time delay distributions, and by comparing them with the experimental distributions for different relaxation times, voltages, and intensities of UV radiation. The transition of distribution shapes, from Gaussian-type to the exponential-like, is investigated by calculating the corresponding skewness and excess kurtosis parameters. It is shown that the mathematical model based on the convolution of two random variable distributions describes experimentally obtained time delay distributions and the separation of the total breakdown time delay to the statistical and formative time delay.
Analysis of Heart Rate Variability Using Time-Varying Filtering of Heart Transplanted Patients
Paris-Sud XI, UniversitÃ© de
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
Microfluidic single cell real-time PCR for comparative analysis of gene expression patterns
Quake, Stephen R.
Microfluidic single cell real-time PCR for comparative analysis of gene expression patterns collection. We present here a high-content microfluidic real-time platform as a powerful tool expression; dynamic assay; microfluidic; pluripotent INTRODUCTION Novel genomic technologies have paved
Schedulability Analysis for Fixed Priority Real-Time Systems with Energy-Harvesting
Paris-Sud XI, UniversitÃ© de
Schedulability Analysis for Fixed Priority Real-Time Systems with Energy-Harvesting Yasmina sufficient schedulability tests for fixed-priority pre-emptive scheduling of a real-time system under energy constraints. In this problem, energy is harvested from the ambient environment and used to replenish a storage
Quasi-real-time analysis of dynamic near field scattering data using a graphics processing unit
Giovanni Cerchiari; Fabrizio Croccolo; Frédéric Cardinaux; Frank Scheffold
2012-09-15T23:59:59.000Z
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.
Sanquist, Thomas F.; Greitzer, Frank L.; Slavich, Antoinette L.; Littlefield, Rik J.; Littlefield, Janis S.; Cowley, Paula J.
2004-09-28T23:59:59.000Z
Technology-based enhancement of information analysis requires a detailed understanding of the cognitive tasks involved in the process. The information search and report production tasks of the information analysis process were investigated through evaluation of time-stamped workstation data gathered with custom software. Model tasks simulated the search and production activities, and a sample of actual analyst data were also evaluated. Task event durations were calculated on the basis of millisecond-level time stamps, and distributions were plotted for analysis. The data indicate that task event time shows a cyclic pattern of variation, with shorter event durations (< 2 sec) reflecting information search and filtering, and longer event durations (> 10 sec) reflecting information evaluation. Application of cognitive principles to the interpretation of task event time data provides a basis for developing “cognitive signatures” of complex activities, and can facilitate the development of technology aids for information intensive tasks.
Towards a Scalable and Reliable Real Time In-Network Data Analysis Infrastructure
Ciraci, Selim; Yin, Jian
2011-12-01T23:59:59.000Z
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.
Multi-phase decline curve analysis with normalized rate and time
Fraim, Michael Lee
1988-01-01T23:59:59.000Z
Material Balance Equation. The purpose of the current work is to develop a normalized time and a normalized rate which can be applied to the Fetkovich type curve or any other decline type curve. From a Fetkovich type curve analysis, an engineer can...MULTI-PHASE DECLINE CURVE ANALYSIS WITH NORMALIZED RATE AND TIME A Thesis by MICHAEL LEE FRAIM Submitted to the Graduate College of Texas ARM University &n partial fulf 111ment of the requirements for the degree of MASTER OF SCIENCE August...
Jenkins, Jere H; Fischbach, Ephraim
2009-01-01T23:59:59.000Z
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
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.
Linear analysis of time dependent properties of Child-Langmuir flow
Rokhlenko, A. [Department of Mathematics, Rutgers University, Piscataway, New Jersey 08854-8019 (United States)
2013-01-15T23:59:59.000Z
We continue our analysis of the time dependent behavior of the electron flow in the Child-Langmuir system, removing an approximation used earlier. We find a modified set of oscillatory decaying modes with frequencies of the same order as the inverse of the electron transient time. This range (typically MHz) allows simple experimental detection and maybe exploitation. We then study the time evolution of the current in response to a slow change of the anode voltage where the same modes of oscillations appear too. The cathode current in this case is systematically advanced or retarded depending on the direction of the voltage change.
Gajic, Zoran
5.6 -transform MATLAB Laboratory Experiment Purpose: This experiment presents the frequency domain analysis of discrete-time systems using MATLAB. The impulse, step, sinusoidal, and exponential on the Â¡ -transform. In addition, MATLAB will be used to perform the partial fraction expansion and to find
Boyer, Edmond
LINEAR TIME PERIODIC MODELLING OF POWER ELECTRONIC DEVICES FOR POWER SYSTEM HARMONIC ANALYSIS by simulation. 1. INTRODUCTION The variety and the wide spread use of power electronic devices in the power networks is due to their diverse and multiple functions: compensation, protection and interface
Time-domain Fatigue Response and Reliability Analysis of Offshore Wind Turbines with
NÃ¸rvÃ¥g, Kjetil
Time-domain Fatigue Response and Reliability Analysis of Offshore Wind Turbines with Emphasis of offshore wind turbines Defense: 09.12.2012 2012 - : Structural Engineer in Det Norske Veritas (DNV) 2007 of the drive train of an on-land wind turbine under dynamic wind loads. The main tasks of this study are to
Driver Models For Timing And Noise Analysis Bogdan Tutuianu and Ross Baldick
Baldick, Ross
Driver Models For Timing And Noise Analysis Bogdan Tutuianu and Ross Baldick Abstract errors. This paper presents a new technique to generate accurate non-linear driver models which can driver is holding low or high, the driver is correctly approximated by a linear (RC) model
Wolfe, Patrick J.
Impact of jumps on returns and realised variances: econometric analysis of time-deformed L In order to assess the effect of jumps on realised variance calculations, we study some of the econometric econometric work on realised variance. Keywords: Kalman filter, L´evy process, Long-memory, Quasi
Analysis of Competitive Electricity Markets under a New Model of Real-Time Retail Pricing with
Bhatia, Sangeeta
Analysis of Competitive Electricity Markets under a New Model of Real-Time Retail Pricing with Ex for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USA {mardavij, mdrine loop system. Under this pricing mechanism, electricity is priced at the exantÂ´e price (calculated based
Incident spectrum determination for time-of-flight neutron powder diffraction data analysis.
Hodges, J. P.
1998-08-27T23:59:59.000Z
Accurate characterization of the incident neutron spectrum is an important requirement for precise Rietveld analysis of time-of-flight powder neutron diffraction data. Without an accurate incident spectrum the calculated model for the measured relative intensities of individual Bragg reflections will possess systematic errors. We describe a method for obtaining an accurate numerical incident spectrum using data from a transmitted beam monitor.
Mauve: a Component-based Modeling Framework for Real-time Analysis of Robotic Applications
Mauve: a Component-based Modeling Framework for Real-time Analysis of Robotic Applications Charles paradigm for robotic software devel- opment [2], applied in many applications [3], [4], [5], [6]. Resulting validation of the robotic application, by directly analysing the architecture specification, and limiting
Simulator Generation Using an Automaton Based Pipeline Model for Timing Analysis
Paris-Sud XI, UniversitÃ© de
Simulator Generation Using an Automaton Based Pipeline Model for Timing Analysis Rola Kassem, Mika the description of the pipeline. The description is transformed into an automaton and a set of resources which. The blocks communicate and synchronise with each other in order to handle the pipeline hazards. A pipeline
Hull/mooring/riser coupled dynamic analysis of a floating platform in time domain
Zheng, Weizhong
2000-01-01T23:59:59.000Z
this program is about ten times faster than its sibling based on the same FEM theory given by D. L. Garrett in 19g2. The Present Case Study In order to examine the benefits of non-linear coupled dynamic analysis of floating offshore structures with flexible... dynamic analysis, a finite-element-method (FEM) program WINPOST was used (e. g. Kim, 1997; Ran and Kim, 1997). The mooring dynamics program was based on a global-coordinate- based FEM (Garrett, 1982), which is expected to be more efficient than...
Vickers, James
Power Series 16.4 Introduction In this section we consider power series. These are examples of infinite series where each term contains a variable, x, raised to a positive integer power. We use the ratio test to obtain the radius of convergence R, of the power series and state the important result
Shock timing measurements and analysis in deuterium-tritium-ice layered capsule implosions on NIF
Robey, H. F.; Celliers, P. M.; Moody, J. D.; Sater, J.; Parham, T.; Kozioziemski, B.; Dylla-Spears, R.; Ross, J. S.; LePape, S.; Ralph, J. E.; Dewald, E. L.; Berzak Hopkins, L.; Kroll, J. J.; Yoxall, B. E.; Hamza, A. V.; Landen, O. L.; Edwards, M. J. [Lawrence Livermore National Laboratory, Livermore, California 94551 (United States)] [Lawrence Livermore National Laboratory, Livermore, California 94551 (United States); Hohenberger, M.; Boehly, T. R. [Laboratory for Laser Energetics, Rochester, New York 14623 (United States)] [Laboratory for Laser Energetics, Rochester, New York 14623 (United States); Nikroo, A. [General Atomics, San Diego, California 92196 (United States)] [General Atomics, San Diego, California 92196 (United States)
2014-02-15T23:59:59.000Z
Recent advances in shock timing experiments and analysis techniques now enable shock measurements to be performed in cryogenic deuterium-tritium (DT) ice layered capsule implosions on the National Ignition Facility (NIF). Previous measurements of shock timing in inertial confinement fusion implosions [Boehly et al., Phys. Rev. Lett. 106, 195005 (2011); Robey et al., Phys. Rev. Lett. 108, 215004 (2012)] were performed in surrogate targets, where the solid DT ice shell and central DT gas were replaced with a continuous liquid deuterium (D2) fill. These previous experiments pose two surrogacy issues: a material surrogacy due to the difference of species (D2 vs. DT) and densities of the materials used and a geometric surrogacy due to presence of an additional interface (ice/gas) previously absent in the liquid-filled targets. This report presents experimental data and a new analysis method for validating the assumptions underlying this surrogate technique. Comparison of the data with simulation shows good agreement for the timing of the first three shocks, but reveals a considerable discrepancy in the timing of the 4th shock in DT ice layered implosions. Electron preheat is examined as a potential cause of the observed discrepancy in the 4th shock timing.
Clock Controller For Ac Self-Timing Analysis Of Logic System
Lo, Tinchee (Fishkill, NY); Flanagan, John D. (Rhinebeck, NY)
2004-05-18T23:59:59.000Z
A clock controller and clock generating method are provided for AC self-test timing analysis of a logic system. The controller includes latch circuitry which receives a DC input signal at a data input, and a pair of continuous out-of-phase clock signals at capture and launch clock inputs thereof. The latch circuitry outputs two overlapping pulses responsive to the DC input signal going high. The two overlapping pulses are provided to waveform shaper circuitry which produces therefrom two non-overlapping pulses at clock speed of the logic system to be tested. The two non-overlapping pulses are a single pair of clock pulses which facilitate AC self-test timing analysis of the logic system.
Space-time analysis of reactor-control rod-worth measurements
Moreia, J.; Lee, J.C.
1984-01-01T23:59:59.000Z
An efficient method has been developed to represent the space-time behavior of neutron detector signals in nuclear reactors. The method is based on a simplified solution to the neutron shape function in the framework of a quasi-static approximation to the timedependent diffusion equation. The shape function is obtained as a sum of a modal expansion, representing the global flux perturbations, and a local function, representing the direct perturbations due to reactor parameter changes. The method was applied to the analysis of both integral and differential rod worth measurements obtained at the critical hightemperature gas-cooled reactor test facility, Kahter. The analysis of the Kahter data indicates the applicability of the proposed method in accounting for space-time effects in detector signals.
Approach for Selection of Rayleigh Damping Parameters Used for Time History Analysis
R. E. Spears; S. R. Jensen
2012-12-01T23:59:59.000Z
Nonlinearities, whether geometric or material, need to be addressed in seismic analysis. One good analysis method that can address these nonlinearities is direct time integration with Rayleigh damping. Modal damping is the damping typically specified in seismic analysis Codes and Standards. Modal damping is constant for all frequencies where Rayleigh damping varies with frequency. An approach is proposed here for selection of Rayleigh damping coefficients to be used in seismic analyses that is consistent with given Modal damping. The approach uses the difference between the modal damping response and the Rayleigh damping response along with effective mass properties of the model being evaluated to match overall system response levels. This paper provides a simple example problem to demonstrate the approach. It also provides results for a finite element model representing an existing piping system. Displacement, acceleration, and stress results are compared from model runs using modal damping and model runs using Rayleigh damping with coefficients selected using the proposed method.
Assessment of Smolt Condition for Travel Time Analysis Project, 1987-1997 Project Review.
Schrock, Robin M.; Hans, Karen M.; Beeman, John W. [US Geological Survey, Western Fisheries Research Center, Columbia River Research Laboratory, Cook, WA
1997-12-01T23:59:59.000Z
The assessment of Smolt Condition for Travel Time Analysis Project (Bonneville Power Administration Project 87-401) monitored attributes of salmonid smolt physiology in the Columbia and Snake River basins from 1987 to 1997, under the Northwest Power Planning Council Fish and Wildlife Program, in cooperation with the Smolt Monitoring Program of the Fish Passage Center. The primary goal of the project was to investigate the physiological development of juvenile salmonids related to migration rates. The assumption was made that the level of smolt development, interacting with environmental factos such as flow, would be reflected in travel times. The Fish Passage Center applied the physiological measurements of smolt condition to Water Budget management, to regulate flows so as to decrease travel time and increase survival.
Smith, Brian (1126 Delaware St., Berkeley, CA 94702); Menchaca, Leticia (1126 Delaware St., Berkeley, CA 94702)
1999-01-01T23:59:59.000Z
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.
Specification and Analysis of the AER/NCA Active Network Protocol Suite in Real-Time Maude
Ã?lveczky, Peter Csaba
Specification and Analysis of the AER/NCA Active Network Protocol Suite in Real-Time Maude Peter-Time Maude tool and the Maude formal methodology to the specification and analysis of the AER/NCA suite-sensitive behavior, the presence of probabilistic algorithms, and the composability of its components, AER/NCA poses
High-Performance Computing for Real-Time Grid Analysis and Operation
Huang, Zhenyu; Chen, Yousu; Chavarría-Miranda, Daniel
2013-10-31T23:59:59.000Z
Power grids worldwide are undergoing an unprecedented transition as a result of grid evolution meeting information revolution. The grid evolution is largely driven by the desire for green energy. Emerging grid technologies such as renewable generation, smart loads, plug-in hybrid vehicles, and distributed generation provide opportunities to generate energy from green sources and to manage energy use for better system efficiency. With utility companies actively deploying these technologies, a high level of penetration of these new technologies is expected in the next 5-10 years, bringing in a level of intermittency, uncertainties, and complexity that the grid did not see nor design for. On the other hand, the information infrastructure in the power grid is being revolutionized with large-scale deployment of sensors and meters in both the transmission and distribution networks. The future grid will have two-way flows of both electrons and information. The challenge is how to take advantage of the information revolution: pull the large amount of data in, process it in real time, and put information out to manage grid evolution. Without addressing this challenge, the opportunities in grid evolution will remain unfulfilled. This transition poses grand challenges in grid modeling, simulation, and information presentation. The computational complexity of underlying power grid modeling and simulation will significantly increase in the next decade due to an increased model size and a decreased time window allowed to compute model solutions. High-performance computing is essential to enable this transition. The essential technical barrier is to vastly increase the computational speed so operation response time can be reduced from minutes to seconds and sub-seconds. The speed at which key functions such as state estimation and contingency analysis are conducted (typically every 3-5 minutes) needs to be dramatically increased so that the analysis of contingencies is both comprehensive and real time. An even bigger challenge is how to incorporate dynamic information into real-time grid operation. Today’s online grid operation is based on a static grid model and can only provide a static snapshot of current system operation status, while dynamic analysis is conducted offline because of low computational efficiency. The offline analysis uses a worst-case scenario to determine transmission limits, resulting in under-utilization of grid assets. This conservative approach does not necessarily lead to reliability. Many times, actual power grid scenarios are not studied, and they will push the grid over the edge and resulting in outages and blackouts. This chapter addresses the HPC needs in power grid analysis and operations. Example applications such as state estimation and contingency analysis are given to demonstrate the value of HPC in power grid applications. Future research directions are suggested for high performance computing applications in power grids to improve the transparency, efficiency, and reliability of power grids.
Shiqing Ling Time-Series Econometric Theory
Ling, Shiqing
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 2.4 GARCH Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 3.3 GARCH(1, 1) Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63 5.3 LAN of FARIMA-GARCH Models . . . . . . . . . . . . . . . . . . . . . . . . . . . 67 5
Bayesian time series models and scalable inference
Johnson, Matthew James, Ph. D. Massachusetts Institute of Technology
2014-01-01T23:59:59.000Z
With large and growing datasets and complex models, there is an increasing need for scalable Bayesian inference. We describe two lines of work to address this need. In the first part, we develop new algorithms for inference ...
Signal extraction for nonstationary multivariate time series
Johnson, Raymond L.
-0.06-0.04-0.020.000.020.040.06 Total Core Figure 1: Core and Total PCE inflation, 1986 through 2010 information from Core inflation? Â· We use the Personal Consumption Expenditures (PCE) Core price index Trends (LLM): Total PCE Year 1990 1995 2000 2005 2010 -0.06-0.04-0.020.000.020.040.06 Total Trend CIs
Wind Speed Prediction Via Time Series Modeling.
Alexander, Daniel
2009-01-01T23:59:59.000Z
??Projected construction of nearby wind farms motivates this study of statistical forecasting of wind speed, for which accurate prediction is critically important to the fluid… (more)
Bootstrap Prediction Intervals for Time Series /
Pan, Li
2013-01-01T23:59:59.000Z
1.5 Joint Prediction intervals . . . . . . . . . . . . .1.6 Generalized Bootstrap prediction1.8.1 Bootstrap Prediction Intervals Based on Studentized
Overview of the Radiant Time Series Method
as basis for CLTDs and CLFs 1980 Â ASHRAE publishes Cooling and Heating Load Calculation Manual by Rudoy) 1992 Â ASHRAE publishes 2nd Edition of Cooling and Heating Load Calculation Manual by Mc publishes Cooling and Heating Load Calculation Principles with HBM and RTSM 2001 Â HBM and RTSM
Autoregressive Time Series Forecasting of Computational Demand
Sandholm, Thomas
2007-01-01T23:59:59.000Z
We study the predictive power of autoregressive moving average models when forecasting demand in two shared computational networks, PlanetLab and Tycoon. Demand in these networks is very volatile, and predictive techniques to plan usage in advance can improve the performance obtained drastically. Our key finding is that a random walk predictor performs best for one-step-ahead forecasts, whereas ARIMA(1,1,0) and adaptive exponential smoothing models perform better for two and three-step-ahead forecasts. A Monte Carlo bootstrap test is proposed to evaluate the continuous prediction performance of different models with arbitrary confidence and statistical significance levels. Although the prediction results differ between the Tycoon and PlanetLab networks, we observe very similar overall statistical properties, such as volatility dynamics.
Time Series Evaluation of Portal Monitor Data
Robinson, Sean M.; Bender, Sarah E.; Lopresti, Charles A.; Woodring, Mitchell L.
2008-12-08T23:59:59.000Z
Radiation portal monitors screen cargo and personal vehicle traffic at international border crossings to detect and interdict illicit sources which may be present in the commerce stream. One difficulty faced by RPM systems is the prospect of false alarms, or undesired alarms due to background fluctuation, or Naturally-Occurring Radioactive Material (NORM) sources in the commerce stream. In general, NORM alarms represent a significant fraction of the nuisance alarms at international border crossings, particularly with Polyvinyl-Toluene (PVT) RPM detectors, which have only very weak spectral differentiation capability. With PVT detectors, the majority of detected photon events fall within the Compton continuum of the material, allowing for very little spectral information to be preserved [1]. Previous work has shown that these detectors can be used for limited spectroscopy, utilizing around 8 spectral bins to further differentiate some NORM and other nuisance sources [2]. NaI based systems achieve much more detailed spectral resolution from each measurement of a source, but still combine all measurements over a vehicle's occupancy in order to arrive at a spectrum to be analyzed.
Analysis and separation of time-frequency components in signals with chaotic behavior
Benjamin Ricaud; Francoise Briolle; F. Clairet
2010-05-31T23:59:59.000Z
The analysis of chaotic signals with time-frequency methods is considered. For this purpose, two new transformations are presented which consist in the decomposition of a signal onto an orthogonal set of respectively linear and hyperbolic chirps. The linear chirp transformation is able to discriminate and extract particular chaotic components in non-stationary square integrable signals. This is demonstrated in an example studying the reflectometry measures of a turbulent plasma. The hyperbolic chirp transformation is designed for the detection and extraction of chaotic parts in self-similar processes such as stochastic motions. Mathematical connections are made between these two methods and other well-known transformations.
Transient analysis of printed lines using finite-difference time-domain method
Ahmed, Shahid [JLAB
2013-01-01T23:59:59.000Z
Comprehensive studies of ultra-wideband pulses and electromagnetic coupling on printed coupled lines have been performed using full-wave 3D finite-difference time-domain analysis. Effects of unequal phase velocities of coupled modes, coupling between line traces, and the frequency dispersion on the waveform fidelity and crosstalk have been investigated in detail. To discriminate the contributions of different mechanisms into pulse evolution, single and coupled microstrip lines without (?r?=?1) and with (?r?>?1) dielectric substrates have been examined. To consistently compare the performance of the coupled lines with substrates of different permittivities and transients of different characteristic times, a generic metric similar to the electrical wavelength has been introduced. The features of pulse propagation on coupled lines with layered and pedestal substrates and on the irregular traces have been explored. Physical interpretations of the simulation results are discussed in the paper.
Bertini, Robert L.
Beyond Corridor Reliability Measures: Analysis of Freeway Travel Time Reliability at the1 Segment and particularly1 freeways. However, it has become evident that travel time reliability, taking into account at the directional corridor level for planning4 purposes and analyze the ways in which travel time reliability can
FPGA Based Real-time Network Traffic Analysis using Traffic Dispersion Patterns
Khan, F; Gokhale, M; Chuah, C N
2010-03-26T23:59:59.000Z
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%.
New Analysis of the Light Time Effect in TU Ursae Majoris
Liska, Jiri; Mikulasek, Zdenek; Zejda, Miloslav; Chrastina, Marek
2015-01-01T23:59:59.000Z
This paper attempts to model possible Light Time Effect of TU UMa using a new code applied on formerly available and newly determined maxima timings in order to confirm binarity and refine parameters of the orbit of RRab component in binary system. The binary hypothesis is further tested also using radial velocity measurements. A new approach for determination of maxima timings based on template fitting which is also usable on sparse or scattered data is described. This approach was successfully applied on measurements from different sources. For determination of orbital parameters of a double star TU UMa we developed a new code for analysis of LiTE involving also secular variation in pulsation period. Its usability was successfully tested on CL Aur - an eclipsing binary with mass-transfer in a triple system showing similar changes in O-C diagram. Since orbital motion would cause systematic shifts in mean radial velocities (dominated by pulsations) we computed and compared our model with center-of-mass veloci...
Zhou, R.; Huang, L.; Rutledge, J.T.; Fehler, M.; Daley, T.M.; Majer, E.L.
2009-11-01T23:59:59.000Z
Injection and movement/saturation of carbon dioxide (CO2) in a geological formation will cause changes in seismic velocities. We investigate the capability of coda-wave interferometry technique for estimating CO2-induced seismic velocity changes using time-lapse synthetic vertical seismic profiling (VSP) data and the field VSP datasets acquired for monitoring injected CO2 in a brine aquifer in Texas, USA. Synthetic VSP data are calculated using a finite-difference elastic-wave equation scheme and a layered model based on the elastic Marmousi model. A possible leakage scenario is simulated by introducing seismic velocity changes in a layer above the CO2 injection layer. We find that the leakage can be detected by the detection of a difference in seismograms recorded after the injection compared to those recorded before the injection at an earlier time in the seismogram than would be expected if there was no leakage. The absolute values of estimated mean velocity changes, from both synthetic and field VSP data, increase significantly for receiver positions approaching the top of a CO2 reservoir. Our results from field data suggest that the velocity changes caused by CO2 injection could be more than 10% and are consistent with results from a crosswell tomogram study. This study demonstrates that time-lapse VSP with coda-wave interferometry analysis can reliably and effectively monitor geological carbon sequestration.
Park, J.E. [Oak Ridge National Lab., TN (United States). Computational Physics and Engineering Div.; Frankel, J.I.; Keyhani, M.; Osborne, G.E. [Univ. of Tennessee, Knoxville, TN (United States). Dept. of Mechanical and Aerospace Engineering and Engineering Science
1998-11-01T23:59:59.000Z
In general, inverse heat conduction analysis utilizes the measured temperature history at one or more internal locations to estimate unknown boundary conditions, energy generation rates, or thermophysical properties. Analysis of these data using conventional numerical heat transfer techniques yields numerically unstable solutions; that is, small perturbations in the input data can produce large variations and instabilities in the output. Previous attempts to overcome this inherent instability have involved the utilization of future information and Tikhonov regularization techniques (Beck et al, 1985). In the 1970`s and 80`s, Beck and coworkers developed a family of techniques that overcome this obstacle by relating the surface property at any time in the transient to temperatures measured after that time in the transient (Beck, 1970, Beck et al, 1982). That is, future information is used to determine present conditions. For many purposes, these techniques are the standard analysis tools. An alternative approach has been developed recently by Frankel and Keyhani (1997). This approach utilizes a whole domain form in which the entire space-time domain of interest is simultaneously resolved; the traditional instability occurs only near the final time endpoint and can be excluded from the resulting solution. Rapid convergence and accurate results have been demonstrated using this approach. Two sets of time-temperature data have been analyzed using both of these techniques.
Siegel, Jeffrey
Proceedings of Healthy Buildings 2009 Paper 336 Time-Scale Analysis for Reactive Deposition) homogeneous reactions with indoor pollutants. The #12;Proceedings of Healthy Buildings 2009 Paper 336 latter
Sánchez-Martínez, Gabriel Eduardo
2013-01-01T23:59:59.000Z
Running time variability is one of the most important factors determining service quality and operating cost of high-frequency bus transit. This research aims to improve performance analysis tools currently used in the bus ...
Series Transmission Line Transformer
Buckles, Robert A. (Livermore, CA); Booth, Rex (Livermore, CA); Yen, Boris T. (El Cerrito, CA)
2004-06-29T23:59:59.000Z
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.
Implementing advanced data analysis techniques in near-real-time materials accounting
Markin, J.T.; Baker, A.L.; Shipley, J.P.
1980-01-01T23:59:59.000Z
Materials accounting for special nuclear material in fuel cycle facilities is implemented more efficiently by applying decision analysis methods, based on estimation and detection theory, to analyze process data for missing material. These methods are incorporated in the computer program DECANAL, which calculates sufficient statistics containing all accounting information, sets decision thresholds, and compares these statistics to the thresholds in testing the hypothesis H/sub 0/ of no missing material against the alternative H/sub 1/ that material is missing. DECANAL output provides alarm charts indicating the likelihood of missing material and plots of statistics that estimate materials loss. This program is a useful tool for aggregating and testing materials accounting data for timely detection of missing material.
AEP Ohio gridSMART Demonstration Project Real-Time Pricing Demonstration Analysis
Widergren, Steven E.; Subbarao, Krishnappa; Fuller, Jason C.; Chassin, David P.; Somani, Abhishek; Marinovici, Maria C.; Hammerstrom, Janelle L.
2014-02-01T23:59:59.000Z
This report contributes initial findings from an analysis of significant aspects of the gridSMART® Real-Time Pricing (RTP) – Double Auction demonstration project. Over the course of four years, Pacific Northwest National Laboratory (PNNL) worked with American Electric Power (AEP), Ohio and Battelle Memorial Institute to design, build, and operate an innovative system to engage residential consumers and their end-use resources in a participatory approach to electric system operations, an incentive-based approach that has the promise of providing greater efficiency under normal operating conditions and greater flexibility to react under situations of system stress. The material contained in this report supplements the findings documented by AEP Ohio in the main body of the gridSMART report. It delves into three main areas: impacts on system operations, impacts on households, and observations about the sensitivity of load to price changes.
Near Real-time Data Analysis of Core-Collapse Supernova Simulations With Bellerophon
Lingerfelt, Eric J [ORNL] [ORNL; Messer, Bronson [ORNL] [ORNL; Desai, Sharvari S [University of Tennessee, Knoxville (UTK)] [University of Tennessee, Knoxville (UTK); Holt, Chastity A [Appalachian State University] [Appalachian State University; Lentz, Eric J [University of Tennessee, Knoxville (UTK)] [University of Tennessee, Knoxville (UTK)
2014-01-01T23:59:59.000Z
We present an overview of a software system, Bellerophon, built to support a production-level HPC application called CHIMERA, which simulates core-collapse supernova events at the petascale. Developed over the last four years, Bellerophon enables CHIMERA s geographically dispersed team of collaborators to perform data analysis in near real-time. Its n-tier architecture provides an encapsulated, end-to-end software solution that enables the CHIMERA team to quickly and easily access highly customizable animated and static views of results from anywhere in the world via a web-deliverable, cross-platform desktop application. In addition, Bellerophon addresses software engineering tasks for the CHIMERA team by providing an automated mechanism for performing regression testing on a variety of supercomputing platforms. Elements of the team s workflow management needs are met with software tools that dynamically generate code repository statistics, access important online resources, and monitor the current status of several supercomputing resources.
Low time resolution analysis of polar ice cores cannot detect impulsive nitrate events
Smart, D F; Melott, A L; Laird, C M
2015-01-01T23:59:59.000Z
Ice cores are archives of climate change and possibly large solar proton events (SPEs). Wolff et al. (2012) used a single event, a nitrate peak in the GISP2-H core, which McCracken et al. (2001a) time associated with the poorly quantified 1859 Carrington event, to discredit SPE-produced, impulsive nitrate deposition in polar ice. This is not the ideal test case. We critique the Wolff et al. analysis and demonstrate that the data they used cannot detect impulsive nitrate events because of resolution limitations. We suggest re-examination of the top of the Greenland ice sheet at key intervals over the last two millennia with attention to fine resolution and replicate sampling of multiple species. This will allow further insight into polar depositional processes on a sub-seasonal scale, including atmospheric sources, transport mechanisms to the ice sheet, post-depositional interactions, and a potential SPE association.
LIFE CYCLE ANALYSIS OF HIGH-PERFORMANCE MONOCRYSTALLINE SILICON PHOTOVOLTAIC SYSTEMS: ENERGY performance, energy rating, c-Si, cost reduction 1 INTRODUCTION Life Cycle Analysis (LCA) is a framework PAYBACK TIMES AND NET ENERGY PRODUCTION VALUE Vasilis Fthenakis1,2 , Rick Betita2 , Mark Shields3 , Rob
Time evolution of electron flow in a model diode: Non-perturbative analysis
Rokhlenko, A.; Lebowitz, J. L. [Department of Mathematics, Rutgers University, Piscataway, New Jersey 08854-8019 (United States)
2013-12-21T23:59:59.000Z
Using a combination of Eulerian and Lagrangian variables we study the time evolution of the electron flow from a no-current state to a final state with the stationary current in a planar one-dimensional diode. The electrons can be injected externally or generated by the cathode via field emission governed by a current-field law. The initial zero current regime is replaced suddenly by injection or, in the case of field emission, by jumping the anode voltage from zero to a constant positive value. The case of equipotential electrodes and fixed injection is studied along with a positive anode potential. When the current is fixed externally, the approach to the stationary state goes without oscillations if the initial electron velocity is high enough and the anode can absorb the injected flow. Otherwise the accumulated space charge creates a potential barrier which reflects the flow and leads to its oscillations, but our method of analysis is invalid in such conditions. In the field emission case the flow goes to its stationary state through a train of decaying oscillations whose period is of the order of the electron transit time, in agreement with earlier studies based on perturbation techniques. Our approximate method does not permit very high cathode emissivity although the method works when the stationary current density is only about 10% smaller than the Child-Langmuir limit.
Harmon, Marion
of realÂtime systems. Use of these architectural feaÂ tures can result in significant performance representing paths within the program. A timing analyzer uses the pipeline path analysis to estimate the worst may result in multicycle delays. Instruction or data memory references may not be found in cache
Paris-Sud XI, UniversitÃ© de
1 A game theoretical analysis of the design options of the real-time electricity market Haikel January 2013 Abstract In this paper we study the economic consequences of two real-time electricity market increase forward contracts while raising electricity prices. Moreover, possible use of market power would
A shoe-integrated sensor system for wireless gait analysis and real-time therapeutic feedback
Morris, Stacy J., 1974-
2004-01-01T23:59:59.000Z
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 ...
Possibility of Detecting Moons of Pulsar Planets Through Time-of-Arrival Analysis
Karen M. Lewis; Penny D. Sackett; Rosemary A. Mardling
2008-05-28T23:59:59.000Z
The perturbation caused by planet-moon binarity on the time-of-arrival signal of a pulsar with an orbiting planet is derived for the case in which the orbits of the moon and the planet-moon barycenter are both circular and coplanar. The signal consists of two sinusoids with frequency (2n_p - 3n_b) and (2n_p - n_b ), where n_p and n_b are the mean motions of the planet and moon around their barycenter, and the planet-moon system around the host, respectively. The amplitude of the signal is equal to the fraction sin I[9(M_p M_m)/16(M_p + M_m)^2] [r/R]^5 of the system crossing time R/c, where M_p and M_m are the the masses of the planet and moon, r is their orbital separation, R is the distance between the host pulsar and planet-moon barycenter, I is the inclination of the orbital plane of the planet, and c is the speed of light. The analysis is applied to the case of PSR B1620-26 b, a pulsar planet, to constrain the orbital separation and mass of any possible moons. We find that a stable moon orbiting this pulsar planet could be detected, if the moon had a separation of about one fiftieth of that of the orbit of the planet around the pulsar, and a mass ratio to the planet of ~5% or larger.
Lead Slowing-Down Spectrometry Time Spectral Analysis for Spent Fuel Assay: FY12 Status Report
Kulisek, Jonathan A.; Anderson, Kevin K.; Casella, Andrew M.; Siciliano, Edward R.; Warren, Glen A.
2012-09-28T23:59:59.000Z
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.
The U-tube sampling methodology and real-time analysis of geofluids
Freifeld, Barry; Perkins, Ernie; Underschultz, James; Boreham, Chris
2009-03-01T23:59:59.000Z
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.
ProtEx: a toolkit for the analysis of distributed real-time systems
Meylan, Yves Damien Meylan
2000-01-01T23:59:59.000Z
an outlook of the cunent and future work. PREVIOUS AND RELATED WORK A real-time application must meet precise timing requirements. Deadlines must be enforced in order to have a system consisting of schedulable tasks, A schedulability analyzer is typically... times of all the tasks defined in the system. After the calculation of the worst-case response time or delay, the computed value is compared with the task's timing requirements, i. e. deadline. This step is necessary in order to determine...
Ota, T. A. [AWE, Aldermaston, Reading, Berkshire RG7 4PR (United Kingdom)] [AWE, Aldermaston, Reading, Berkshire RG7 4PR (United Kingdom)
2013-10-15T23:59:59.000Z
Photonic Doppler velocimetry, also known as heterodyne velocimetry, is a widely used optical technique that requires the analysis of frequency modulated signals. This paper describes an investigation into the errors of short time Fourier transform analysis. The number of variables requiring investigation was reduced by means of an equivalence principle. Error predictions, as the number of cycles, samples per cycle, noise level, and window type were varied, are presented. The results were found to be in good agreement with analytical models.
S. Zieba; J. Maslowski; A. Michalec; G. Michalek; A. Kulak
2007-01-15T23:59:59.000Z
Long-running measurements of the solar radio flux density at 810 MHz were processed. Based on the least-squares method and using modified periodograms and an iterative technique of fitting and subtracting sinusoids in the time domain, frequency, amplitude, and phase characteristics of any analyzed time series were obtained. Solar cycles 20, 21, and 22 and shorter segments around solar minima and maxima were examined separately. Also, dynamic studies with 405, 810, and 1620 day windows were undertaken. The harmonic representations obtained for all these time series indicate large differences among solar cycles and their segments. We show that the solar radio flux at 810 MHz violates the Gnevyshev-Ohl rule for the pair of cycles 22-23. Analyzing the period 1957-2004, the following spectral periods longer than 1350 days were detected: 10.6, 8.0, 28.0, 5.3, 55.0, 3.9, 6.0, 4.4, and 14.6 yr. For spectral periods between 270 and 1350 days the 11 yr cycle is not recognized. We think that these harmonics form ``impulses of activity'' or a quasi-biennial cycle defined in the Benevolenskaya model of the ``double magnetic cycle.'' The value of about 0.09 is proposed for the interaction parameter (between the low- and high-frequency components) of this model. We confirm the intermittent behavior of the periodicity near 155 days. Correlation coefficients between the radio emission at 810 MHz and sunspot numbers, as well as the radio emission at 2800 MHz calculated for 540 day intervals, depend on the solar cycle phase.
Time Series Models for Measuring Market Risk Time Series Models for Measuring Market Risk
Hernández Lobato, José Miguel
and collaborative mixtures of experts 3 GARCH processes with non-parametric innovations 4 Conclusions and future Competitive and collaborative mixtures of experts 3 GARCH processes with non-parametric innovations 4 Volatility models: GARCH processes We say {rt}T t=1 follows a GARCH(1,1) process if: rt = tt (4) 2 t = + |rt
Resumming the string perturbation series
Alba Grassi; Marcos Marino; Szabolcs Zakany
2015-02-10T23:59:59.000Z
We use the AdS/CFT correspondence to study the resummation of a perturbative genus expansion appearing in the type II superstring dual of ABJM theory. Although the series is Borel summable, its Borel resummation does not agree with the exact non-perturbative answer due to the presence of complex instantons. The same type of behavior appears in the WKB quantization of the quartic oscillator in Quantum Mechanics, which we analyze in detail as a toy model for the string perturbation series. We conclude that, in these examples, Borel summability is not enough for extracting non-perturbative information, due to non-perturbative effects associated to complex instantons. We also analyze the resummation of the genus expansion for topological string theory on local $\\mathbb P^1 \\times \\mathbb P^1$, which is closely related to ABJM theory. In this case, the non-perturbative answer involves membrane instantons computed by the refined topological string, which are crucial to produce a well-defined result. We give evidence that the Borel resummation of the perturbative series requires such a non-perturbative sector.
Armstrong, Darrell Jewell; Schwarz, Jens
2013-08-01T23:59:59.000Z
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.
Remote data access and analysis using SciDB
Anderson, Alan M., M. Eng. Massachusetts Institute of Technology
2012-01-01T23:59:59.000Z
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 ...
Total cost analysis of process time reduction as a green machining strategy
Helu, Moneer; Behmann, Benjamin; Meier, Harald; Dornfeld, David; Lanza, Gisela; Schulze, Volker
2012-01-01T23:59:59.000Z
on the use of life cycle assessment (LCA) to quantifyLife Cycle Cost Analysis and LCA, in: International Journal of Life Cycle Assessment,
O'Brien, M J; Procassini, R J; Joy, K I
2009-03-09T23:59:59.000Z
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.
Gajic, Zoran
4.6 MATLAB Laboratory Experiment Purpose: This experiment presents the frequency domain analysis of continuous-time linear systems using MATLAB. The impulse, step, sinusoidal, and exponential responses. In addition, MATLAB will be used to perform the partial fraction expansion and to find the inverse Laplace
Krennrich, Frank [Iowa State University] Iowa State University
2013-09-24T23:59:59.000Z
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.
Southern California, University of
of a two-part paper, the analysis of the apparent frequency of a seven-story reinforced-concrete hotel. The results also suggest ``self healing'' believed to result from settlement of the soil with time and dynamic compaction from aftershock shaking. Implications of such high variability of the system frequency
Safety and Response-Time Analysis of an Automotive Accident Assistance Service
Gilmore, Stephen
the following tools: Â the LTSA model-checker for FSP, and Â the ipclib response-time analyser for PEPA. We
Analysis of Wind Power and Load Data at Multiple Time Scales
Coughlin, Katie
2011-01-01T23:59:59.000Z
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
Time Synchronization Attack in Smart Grid-Part I: Impact and Analysis
Zhang, Zhenghao; Dimitrovski, Aleksandar D; Li, Husheng
2012-01-01T23:59:59.000Z
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.
Time Stamp Attack in Smart Grid: Physical Mechanism and Damage Analysis
Gong, Shuping; Li, Husheng; Dimitrovski, Aleksandar D
2012-01-01T23:59:59.000Z
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.
7000 Series MODIFIED MICROLITERTM
Kleinfeld, David
. This syringe series is unique, as the sample is held in the stainless steel needle. The tungsten plunger wire resistance to plunger movement is felt. Use of pliers on the knurled hub nut may be required to achieve this tightness. The black PTFE-coated plunger sleeve makes it easy to read the exact volume. Two sizes of spacers
Energy Management Webinar Series
Broader source: Energy.gov [DOE]
Boost your knowledge on how to implement an energy management system through this four-part webinar series from the Superior Energy Performance program. Each webinar introduces various elements of the ISO 50001 energy management standard—based on the Plan-Do-Check-Act approach—and the associated steps of DOE's eGuide for ISO 50001 software tool.
Klein, Ophir
Bay Area Global Health Seminar Series Moving beyond millennium targets in global health: The challenges of investing in health and universal health coverage Although targets can help to focus global health efforts, they can also detract attention from deeper underlying challenges in global health
Klein, Ophir
Bay Area Global Health Seminar Series Monday, January 27, 2014 2:30pm Â 4:00pm (Reception to follow at the Center for Health Policy and the Woods Institute for the Environment. He studies how economic, political, and natural environments affect population health in developing countries using a mix of experimental
Empirical timing analysis of CPUs and delay fault tolerant design using partial redundancy
Chang, Sanghoan
2009-05-15T23:59:59.000Z
and the dynamic frequency-step-down takes place before a pipe flush, and retry is issued. The significant timing overhead associated with the retry is offset by the rarity of the timing violation events. Simulation results on ISCAS Benchmark circuits show that 10...
Towards Real-Time High Performance Computing For Power Grid Analysis
Hui, Peter SY; Lee, Barry; Chikkagoudar, Satish
2012-11-16T23:59:59.000Z
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.
Almor, Amit
measure is proposed for comparing vibration data from multiple sensors toward the creation of new and classification technique is proposed using mutual information measures in the time-frequency domain. The time bounding regions. Electrical, reflectometry-based methods of health evaluation are proposed
Trade-off Analysis of Decision Support Systems for Time Sensitive
USYouthSoccerPlayers NumberofRegisteredUSYouthSoccerPlayers Time (Years) Registered US Youth Soccer Players vs. Time Virginia Â· PROBLEM STATEMENT Â· MISSION REQUIREMENTS Â· DESIGN OF EXPERIMENT Â· VALUE HIERARCHY/ UTILITY Â· CONCLUSION 1978 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 TotalNumberofRegistered
Performance analysis of snr estimates for awgn and time-selective fading channels
Peksen, Huseyin
2009-05-15T23:59:59.000Z
scenario. Second, the Bayesian Cramer-Rao lower bound (BCRLB) for SNR estimate is considered for BPSK modulated signals in the presence of time-selective fading channels. Only the data-aided scenario is considered, and the time-selective fading channel...
Statistical static timing analysis considering the impact of power supply noise in VLSI circuits
Kim, Hyun Sung
2009-06-02T23:59:59.000Z
As semiconductor technology is scaled and voltage level is reduced, the impact of the variation in power supply has become very significant in predicting the realistic worst-case delays in integrated circuits. The analysis of power supply noise...
Real-time analysis of aggregate network traffic for anomaly detection
Kim, Seong Soo
2005-08-29T23:59:59.000Z
The frequent and large-scale network attacks have led to an increased need for developing techniques for analyzing network traffic. If efficient analysis tools were available, it could become possible to detect the attacks, anomalies...
Global Clock, Physical Time Order and Pending Period Analysis in Multiprocessor Systems
Chen, Yunji; Hu, Weiwu
2009-01-01T23:59:59.000Z
In multiprocessor systems, various problems are treated with Lamport's logical clock and the resultant logical time orders between operations. However, one often needs to face the high complexities caused by the lack of logical time order information in practice. In this paper, we utilize the \\emph{global clock} to infuse the so-called \\emph{pending period} to each operation in a multiprocessor system, where the pending period is a time interval that contains the performed time of the operation. Further, we define the \\emph{physical time order} for any two operations with disjoint pending periods. The physical time order is obeyed by any real execution in multiprocessor systems due to that it is part of the truly happened operation orders restricted by global clock, and it is then proven to be independent and consistent with traditional logical time orders. The above novel yet fundamental concepts enables new effective approaches for analyzing multiprocessor systems, which are named \\emph{pending period analy...
Not Available
1980-08-01T23:59:59.000Z
This report describes a base case analysis performed using the strategic backdrop analytical framework developed by The Futures Group to facilitate fossil fuel planning within the Department of Energy. It builds upon the data base compiled in the default case previously submitted but uses a different set of energy technology assumptions. Objectives of the strategic backdrop analysis project are: (1) to delineate alternative socioeconomic futures or target worlds for the United States and to derive, for each world, the amount of energy needed to sustain its level of economic activity and lifestyle, assuming no technological changes; (2) to construct an analytical framework that accounts for the flow of energy from the disaggregated end-use target demand sectors back through the distribution and conversion processes to primary resource requirements; (3) to use this framework 1) to analyze how alternative government policies and associated new technologies can change the primary resource needs and fuel mix while still providing the same level of end-use energy service for the target world, and 2) to highlight resource constraints, program inconsistencies, and economic, environmental, and social implications; (4) to transfer to DOE personnel the methodology for generating energy targets and accounting for important characteristics of alternative energy policies and technologies.
Analysis of oil-pipeline distribution of multiple products subject to delivery time-windows
Jittamai, Phongchai
2006-04-12T23:59:59.000Z
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...
Monitoring molecular interactions using photon arrival-time interval distribution analysis
Laurence, Ted A. (Livermore, CA); Weiss, Shimon (Los Angels, CA)
2009-10-06T23:59:59.000Z
A method for analyzing/monitoring the properties of species that are labeled with fluorophores. A detector is used to detect photons emitted from species that are labeled with one or more fluorophores and located in a confocal detection volume. The arrival time of each of the photons is determined. The interval of time between various photon pairs is then determined to provide photon pair intervals. The number of photons that have arrival times within the photon pair intervals is also determined. The photon pair intervals are then used in combination with the corresponding counts of intervening photons to analyze properties and interactions of the molecules including brightness, concentration, coincidence and transit time. The method can be used for analyzing single photon streams and multiple photon streams.
Computational image analysis of subcellular dynamics in time-lapse fluorescence microscopy
Huang, Austin V., 1980-
2005-01-01T23:59:59.000Z
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 ...
Shifting Preferences and Time-Varying Parameters in Demand Analysis: A Monte Carlo Study
Kanyama, Isaac Kalonda
2011-05-31T23:59:59.000Z
constant values over time. The LAISF model qualitatively performs similarly to the NLAI, but the LAICF does not. Finally, the NLAI achieves higher levels of the regularity index under the local trend specification while the RM achieves higher regularity...
Getting a Better Performing Building: Commissioning and Real Time Data Analysis
Barba, M.
2002-01-01T23:59:59.000Z
based on real time system operational data. Because of the dynamic nature and complexity of commercial building HVAC systems, they are the perfect target for periodic performance assessments, or recommissioning. Today's buildings are expected to supply...
Time domain analysis of a gyrotron traveling wave amplifier with misaligned electron beam
Wang, Qiushi, E-mail: qiushiwork@gmail.com; Peng, Shuyuan [Institute of Electronics, Chinese Academy of Sciences, P.O. Box 2652, Beijing 100080 (China); University of Chinese Academy of Sciences, Beijing 100039 (China); Luo, Jirun [Institute of Electronics, Chinese Academy of Sciences, P.O. Box 2652, Beijing 100080 (China)
2014-08-15T23:59:59.000Z
This article develops a time-domain theory to study the beam-wave interaction in gyrotron traveling wave amplifier (gyro-TWA) with a misaligned electron beam. The effects of beam misalignment on the TE{sub 01} mode gyro-TWA operating at the fundamental are discussed. Numerical results show that the effect of misalignment is less obvious when the input power is larger, and the influences of misalignment on the stable gain and the stable time are basically opposite.
Higher-Order, Space-Time Adaptive Finite Volume Methods: Algorithms, Analysis and Applications
Minion, Michael
2014-04-29T23:59:59.000Z
The four main goals outlined in the proposal for this project were: 1. Investigate the use of higher-order (in space and time) finite-volume methods for fluid flow problems. 2. Explore the embedding of iterative temporal methods within traditional block-structured AMR algorithms. 3. Develop parallel in time methods for ODEs and PDEs. 4. Work collaboratively with the Center for Computational Sciences and Engineering (CCSE) at Lawrence Berkeley National Lab towards incorporating new algorithms within existing DOE application codes.
IBM Lecture Series on Service Quality May 19, 2010
Glushko, Robert J.
IBM Lecture Series on Service Quality May 19, 2010 Two New Perspectives for Service System Design at design time or run time, whether it is coarse-grained or fine-grained, and whether it is partial or total
Laser-induced breakdown spectroscopy for real time and online elemental analysis
Rai, V N; Yueh, Fang-Yu; Singh, J P
2014-01-01T23:59:59.000Z
Laser-induced breakdown spectroscopy (LIBS) is a laser based diagnostics used to study atomic emission from the expanding plasma plume formed during the laser-matter interaction. It provides valuable information about the composition of the target material. LIBS has proved its potential application in the analysis of impurities, pollutants and toxic elements in various types of matrices of different samples (solid, liquid and gases), even those present under difficult and harsh environmental conditions. This article reviews some recent developments in the field, and its wide application in various fields of research and analysis.
Henrik Stenlund
2012-04-24T23:59:59.000Z
This work introduces a new functional series for expanding an analytic function in terms of an arbitrary analytic function. It is generally applicable and straightforward to use. It is also suitable for approximating the behavior of a function with a few terms. A new expression is presented for the composite function's n'th derivative. The inverse-composite method is handled in this work also.
Florido, R., E-mail: ricardo.florido@ulpgc.es; Mancini, R. C.; Nagayama, T. [Department of Physics, University of Nevada, Reno, Nevada 89557 (United States); Tommasini, R. [Lawrence Livermore National Laboratory, Livermore, California 94550 (United States); Delettrez, J. A.; Regan, S. P. [Laboratory for Laser Energetics, University of Rochester, Rochester, New York 14623 (United States)
2014-10-15T23:59:59.000Z
Time-resolved temperature and density conditions in the core of shock-ignition implosions have been determined for the first time. The diagnostic method relies on the observation, with a streaked crystal spectrometer, of the signature of an Ar tracer added to the deuterium gas fill. The data analysis confirms the importance of the shell attenuation effect previously noted on time-integrated spectroscopic measurements of thick-wall targets [R. Florido et al., Phys. Rev. E 83, 066408 (2011)]. This effect must be taken into account in order to obtain reliable results. The extracted temperature and density time-histories are representative of the state of the core during the implosion deceleration and burning phases. As a consequence of the ignitor shock launched by the sharp intensity spike at the end of the laser pulse, observed average core electron temperature and mass density reach T???1100?eV and ????2?g/cm{sup 3}; then temperature drops to T???920?eV while density rises to ????3.4?g/cm{sup 3} about the time of peak compression. Compared to 1D hydrodynamic simulations, the experiment shows similar maximum temperatures and smaller densities. Simulations do not reproduce all observations. Differences are noted in the heating dynamics driven by the ignitor shock and the optical depth time-history of the compressed shell. Time-histories of core conditions extracted from spectroscopy show that the implosion can be interpreted as a two-stage polytropic process. Furthermore, an energy balance analysis of implosion core suggests an increase in total energy greater than what 1D hydrodynamic simulations predict. This new methodology can be implemented in other ICF experiments to look into implosion dynamics and help to understand the underlying physics.
TIME-FREQUENCY-PHASE COHERENCE GENERAL FRAMEWORK FOR SIGNAL ANALYSIS IN PASSIVE CONTEXT
Paris-Sud XI, UniversitÃ© de
behavior (underwater mammals vocalizations) and electronic warfare will prove the efficiency case, the passive behavior of the signal intelligence field is a well-known problem in the electronic warfare problem. In this paper we propose a general signal analysis framework in passive context. We show
page 24 Lab Times 2-2011 Analysis A conversation with Peter Lawrence, Cambridge
Salvaggio, Carl
the first Wigglesworth Memorial lecture at the International Congress of Entomology. I talked mostly about such an overwhelming response, I realised that there was a need for a voice to express the frustration that many scien. At that time, you'd al- ready been a journal editor for more than 20 years. Do you feel in some way responsi
Time lapse seismic signal analysis for Cranfield, MS, EOR and CCS site Ditkof, J.1
Texas at Austin, University of
-delay along a horizon below the reservoir. Keywords: time lapse, 4D seismic, CO2 sequestration, EOR, seismic under continuous CO2 injection by Denbury Onshore LLC since 2008. To date, more than 3 million tons of CO2 remain in the subsurface. In 2007 and 2010, 3D seismic surveys were shot and an initial 4D
Time Variations of the Superkamiokande Solar Neutrino Flux Data by Rayleigh Power Spectrum Analysis
Koushik Ghosh; Probhas Raychaudhuri
2006-06-05T23:59:59.000Z
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.
Fundamental Frequency Equivalenting Of Series Capacitors
With Movs In
series compensated line with Series Capacitors (SCs) and their Metal-Oxide Varistors (MOVs) installed in
R. M. Ferrer; S. Bays; M. Pope
2008-04-01T23:59:59.000Z
The purpose of this study is to quantify the effects of variations of the Light Water Reactor (LWR) Spent Nuclear Fuel (SNF) and fast reactor reprocessing cooling time on a Sodium Fast Reactor (SFR) assuming a single-tier fuel cycle scenario. The results from this study show the effects of different cooling times on the SFR’s transuranic (TRU) conversion ratio (CR) and transuranic fuel enrichment. Also, the decay heat, gamma heat and neutron emission of the SFR’s fresh fuel charge were evaluated. A 1000 MWth commercial-scale SFR design was selected as the baseline in this study. Both metal and oxide CR=0.50 SFR designs are investigated.
New frac analysis uses real-time information to lower costs, raise
Aud, W.W.; Middlebrook, M.L. [Integrated petroleum Technologies Inc., Denver, CO (United States)
1995-08-01T23:59:59.000Z
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.
Modeling and analysis of EWMA control schemes with time varying control limits
Chandrasekaran, Sreenivasan
1991-01-01T23:59:59.000Z
of EWMA schemes that afford the desired degree of protection against shifts that lead to a potential increase in scrap. Next, a stochastic model of the EWMA control scheme with supplementary runs rules is constructed. Mean absorption time for various... be reworked constitute scrap. Depending upon the product that is being manufactured, observations falling above the USL or below the LSL will constitute scrap. Without loss of generality, let an observation falling beyond the USL constitute scrap. Clearly...
Analysis of Customer Enrollment Patterns in TIme-Based Rate Programs:
Office of Environmental Management (EM)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergy Cooperation |South42.2 (April 2012) 1 DocumentationAnalysis of Crossover Points for
Resource characterization series (final)
Hower, J.C.; Wild, G.D.
1981-01-01T23:59:59.000Z
Coals from the Princess Reserve District in northeastern Kentucky were obtained from the R-series cores and from Kentucky Geological Survey collections. The coals span the stratigraphic section from the Bruin coal near the base of the Breathitt Formation to a coal near the top of the Conemaugh Formation. The Princess District coals are high volatile C and B bituminous. High volatile A bituminous coals occur in southern Lawrence County. Reflectance highs and reactive maceral lows were noted in the Princess 3 and Princess 7 coals in along a north-south trend which may be parallel to the Waverly Arch.
An analysis of the relationship of heart sound time intervals to respiratory sinus arrhythmia
Schorsch, Eric Todd
1987-01-01T23:59:59.000Z
to be close to the clinically significant left ventricular ejection time (LVET). These results were obtained in a laboratory setting. Recording heart sounds at the trachea was not easy. The heart sound signal was not very stable. In order for a useful... VALVE R - LEFT VENTRICLE Figure 1. Crossectional view of the heart showing the four chambers and the four valves. l20 X IOO E E 80 oI 60 In 40 Aornc volve opens PROTODIASTOLE EJECTION~ COIJTRACTION~ I, r Aortic valve closes r ISOMETRIC...
Solar glare hazard analysis tool on account of determined points of time
Ho, Clifford K; Sims, Cianan Alexander
2014-09-23T23:59:59.000Z
Technologies pertaining to determining when glare will be perceived by a hypothetical observer from a glare source and the intensity of glare that will be perceived by the hypothetical observer from the glare source are described herein. A first location of a potential source of solar glare is received, and a second location of the hypothetical observer is received. Based upon such locations, including respective elevations, and known positions of the sun over time, a determination as to when the hypothetical observer will perceive glare from the potential source of solar glare is made. Subsequently, an amount of irradiance entering the eye of the hypothetical observer is calculated to assess potential ocular hazards.
Method and system for real-time analysis of biosensor data
Greenbaum, Elias; Rodriguez, Jr., Miguel
2014-08-19T23:59:59.000Z
A method of biosensor-based detection of toxins includes the steps of providing a fluid to be analyzed having a plurality of photosynthetic organisms therein, wherein chemical, biological or radiological agents alter a nominal photosynthetic activity of the photosynthetic organisms. At a first time a measured photosynthetic activity curve is obtained from the photosynthetic organisms. The measured curve is automatically compared to a reference photosynthetic activity curve to determine differences therebetween. The presence of the chemical, biological or radiological agents, or precursors thereof, are then identified if present in the fluid using the differences.
H. Rudolf Fiebig
2002-10-31T23:59:59.000Z
We study various aspects of extracting spectral information from time correlation functions of lattice QCD by means of Bayesian inference with an entropic prior, the maximum entropy method (MEM). Correlator functions of a heavy-light meson-meson system serve as a repository for lattice data with diverse statistical quality. Attention is given to spectral mass density functions, inferred from the data, and their dependence on the parameters of the MEM. We propose to employ simulated annealing, or cooling, to solve the Bayesian inference problem, and discuss practical issues of the approach.
National Poverty Center Working Paper Series June, 2006
Shyy, Wei
National Poverty Center Working Paper Series #0608 June, 2006 Justifying Inequality: A Social Psychological Analysis of Beliefs about Poverty and the Poor Heather Bullock, Department Poverty Center Working Paper Series index at: http://www.npc.umich.edu/publications/working_papers/ Any
Continuous time random walk analysis of solute transport in fractured porous media
Cortis, Andrea; Cortis, Andrea; Birkholzer, Jens
2008-06-01T23:59:59.000Z
The objective of this work is to discuss solute transport phenomena in fractured porous media, where the macroscopic transport of contaminants in the highly permeable interconnected fractures can be strongly affected by solute exchange with the porous rock matrix. We are interested in a wide range of rock types, with matrix hydraulic conductivities varying from almost impermeable (e.g., granites) to somewhat permeable (e.g., porous sandstones). In the first case, molecular diffusion is the only transport process causing the transfer of contaminants between the fractures and the matrix blocks. In the second case, additional solute transfer occurs as a result of a combination of advective and dispersive transport mechanisms, with considerable impact on the macroscopic transport behavior. We start our study by conducting numerical tracer experiments employing a discrete (microscopic) representation of fractures and matrix. Using the discrete simulations as a surrogate for the 'correct' transport behavior, we then evaluate the accuracy of macroscopic (continuum) approaches in comparison with the discrete results. However, instead of using dual-continuum models, which are quite often used to account for this type of heterogeneity, we develop a macroscopic model based on the Continuous Time Random Walk (CTRW) framework, which characterizes the interaction between the fractured and porous rock domains by using a probability distribution function of residence times. A parametric study of how CTRW parameters evolve is presented, describing transport as a function of the hydraulic conductivity ratio between fractured and porous domains.
Advances in Adaptive Data Analysis Vol. 2, No. 4 (2010) 521543
, for example, Huang and Attoh- Okine, 2005 and Huang and Shen, 1999]. HHT has initiated a brand new approach]. Additionally, the original time series analysis method has also been extended to image and multi
Apparatus for real-time airborne particulate radionuclide collection and analysis
Smart, John E. (West Richland, WA); Perkins, Richard W. (Richland, WA)
2001-01-01T23:59:59.000Z
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.
Lead Slowing-Down Spectrometry Time Spectral Analysis for Spent Fuel Assay: FY11 Status Report
Kulisek, Jonathan A.; Anderson, Kevin K.; Bowyer, Sonya M.; Casella, Andrew M.; Gesh, Christopher J.; Warren, Glen A.
2011-09-30T23:59:59.000Z
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 assay methods. This document is a progress report for FY2011 PNNL analysis and algorithm development. Progress made by PNNL in FY2011 continues to indicate the promise of LSDS analysis and algorithms applied to used fuel. PNNL developed an empirical model based on calibration of the LSDS to responses generated from well-characterized used fuel. The empirical model, which accounts for self-shielding effects using empirical basis vectors calculated from the singular value decomposition (SVD) of a matrix containing the true self-shielding functions of the used fuel assembly models. The potential for the direct and independent assay of the sum of the masses of 239Pu and 241Pu to within approximately 3% over a wide used fuel parameter space was demonstrated. Also, in FY2011, PNNL continued to develop an analytical model. Such efforts included the addition of six more non-fissile absorbers in the analytical shielding function and the non-uniformity of the neutron flux across the LSDS assay chamber. A hybrid analytical-empirical approach was developed to determine the mass of total Pu (sum of the masses of 239Pu, 240Pu, and 241Pu), which is an important quantity in safeguards. Results using this hybrid method were of approximately the same accuracy as the pure empirical approach. In addition, total Pu with much better accuracy with the hybrid approach than the pure analytical approach. In FY2012, PNNL will continue efforts to optimize its empirical model and minimize its reliance on calibration data. In addition, PNNL will continue to develop an analytical model, considering effects such as neutron-scattering in the fuel and cladding, as well as neutrons streaming through gaps between fuel pins in the fuel assembly.
Using Fourier Series to Model Hourly Energy Use in Commercial Buildings
Dhar, A.; Reddy, T. A.; Claridge, D. E.
1993-01-01T23:59:59.000Z
Fourier series analysis is eminently suitable for modeling strongly periodic data. Weather independent energy use such as lighting and equipment load in commercial buildings is strongly periodic and is thus appropriate for Fourier series treatment...
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
Kanevce, A.; Kuciauskas, D.; Gessert, T. A.; Levi, D. H.; Albin, D. S.
2012-06-01T23:59:59.000Z
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
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.
Marcellus Shale Educational Webinar Series
Boyer, Elizabeth W.
#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 Â· Members Â Mark Douglass, Jefferson
Rutger van Haasteren; Michele Vallisneri
2014-07-24T23:59:59.000Z
Many data-analysis problems involve large dense matrices that describe the covariance of stationary noise processes; the computational cost of inverting these matrices, or equivalently of solving linear systems that contain them, is often a practical limit for the analysis. We describe two general, practical, and accurate methods to approximate stationary covariance matrices as low-rank matrix products featuring carefully chosen spectral components. These methods can be used to greatly accelerate data-analysis methods in many contexts, such as the Bayesian and generalized-least-squares analysis of pulsar-timing residuals.
Power Grid Data Analysis with R and Hadoop
Hafen, Ryan P.; Gibson, Tara D.; Kleese van Dam, Kerstin; Critchlow, Terence J.
2014-01-01T23:59:59.000Z
This book chapter presents an approach to analysis of large-scale time-series sensor information based on our experience with power grid data. We use the R-Hadoop Integrated Programming Environment (RHIPE) to analyze a 2TB data set and present code and results for this analysis.
The summation of certain series
Holder, Leonard Irvin
2012-06-07T23:59:59.000Z
inf1nite series. As an 1llustration, it can be shown by one of the methods to be developed that the ser1es / / / Z converge s to the number 1. The number I, then, is said to be the sum, or value, of the ser1es wr1tten 1n the form of a closed... expression. As a second examole, consider the series, / / / + ? +. ? /2 gs ~z 7/* whose sum will be shown to be ? . Again the number 6 J 6 is sa1d to be a closed form for the sum of the given series. In this case, however, obJection might possibly...
Ford, Eric B.; Moorhead, Althea V.; Morehead, Robert C. [Astronomy Department, University of Florida, 211 Bryant Space Sciences Center, Gainesville, FL 32611 (United States); Fabrycky, Daniel C. [UCO/Lick Observatory, University of California, Santa Cruz, CA 95064 (United States); Steffen, Jason H. [Fermilab Center for Particle Astrophysics, P.O. Box 500, MS 127, Batavia, IL 60510 (United States); Carter, Joshua A.; Fressin, Francois; Holman, Matthew J.; Ragozzine, Darin; Charbonneau, David [Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138 (United States); Lissauer, Jack J.; Rowe, Jason F.; Borucki, William J.; Bryson, Stephen T.; Burke, Christopher J.; Caldwell, Douglas A. [NASA Ames Research Center, Moffett Field, CA 94035 (United States); Welsh, William F. [Astronomy Department, San Diego State University, San Diego, CA 92182-1221 (United States); Allen, Christopher [Orbital Sciences Corporation/NASA Ames Research Center, Moffett Field, CA 94035 (United States); Batalha, Natalie M. [Department of Physics and Astronomy, San Jose State University, San Jose, CA 95192 (United States); Buchhave, Lars A., E-mail: eford@astro.ufl.edu [Niels Bohr Institute, Copenhagen University, DK-2100 Copenhagen (Denmark); Collaboration: Kepler Science Team; and others
2012-05-10T23:59:59.000Z
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 is 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 TTVs 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.
Solar Permitting & Inspection Webinar Series
Office of Energy Efficiency and Renewable Energy (EERE)
ICLEI Local Governments for Sustainability U.S.A. and the Interstate Renewable Energy Council, Inc. (IREC) present a series of three webinars on Solar Permitting & Inspection. As part of the U...
ECOLOGY AND EVOLUTION SEMINAR SERIES*
Ishida, Yuko
ECOLOGY AND EVOLUTION SEMINAR SERIES* WINTER 2013 ECL 296 (CRN 50337) / PBG 292 (CRN 64677 24 The Modern Ecology of Ice-Covered Lakes in Antarctica: A Journey Back JANUARY 31 Lizards in an Evolutionary Tree: Ecology and Adaptive Radiation
Castle series, 1954. Technical report
Martin, E.J.; Rowland, R.H.
1982-04-01T23:59:59.000Z
CASTLE was an atmospheric nuclear weapons test series held in the Marshall Islands at Enewetak and Bikini atolls in 1954. This is a report of DOD peronnel in CASTLE with an emphasis on operations and radiological safety.
Michigan Institute for Plasma Science and Engineering Fall 2011 Seminar Series
Shyy, Wei
Michigan Institute for Plasma Science and Engineering Fall 2011 Seminar Series Date, Time EECS Dr. Joe Borovsky AOSS and Los Alamos National Laboratory The Solar Wind Plasma Wednesday
Macdonald Polynomials and Multivariable Basic Hypergeometric Series
Michael J. Schlosser
2007-03-30T23:59:59.000Z
We study Macdonald polynomials from a basic hypergeometric series point of view. In particular, we show that the Pieri formula for Macdonald polynomials and its recently discovered inverse, a recursion formula for Macdonald polynomials, both represent multivariable extensions of the terminating very-well-poised 6-phi-5 summation formula. We derive several new related identities including multivariate extensions of Jackson's very-well-poised 8-phi-7 summation. Motivated by our basic hypergeometric analysis, we propose an extension of Macdonald polynomials to Macdonald symmetric functions indexed by partitions with complex parts. These appear to possess nice properties.
Amplitude Analysis and Measurement of the Time-dependent CP Asymmetry of B0 to KsKsKs Decays
Lees, J.P.
2012-04-11T23:59:59.000Z
We present the first results on the Dalitz-plot structure and improved measurements of the time-dependent CP-violation parameters of the process B{sup 0} {yields} K{sub S}{sup 0}K{sub S}{sup 0}K{sub S}{sup 0} obtained using 468 x 10{sup 6} B{bar B} decays collected with the BABAR detector at the PEP-II asymmetric-energy B factory at SLAC. The Dalitz-plot structure is probed by a time-integrated amplitude analysis that does not distinguish between B{sup 0} and {bar B}{sup 0} decays. We measure the total inclusive branching fraction {Beta}(B{sup 0} {yields} K{sub S}{sup 0}K{sub S}{sup 0}K{sub S}{sup 0}) = (6.19 {+-} 0.48 {+-} 0.15 {+-} 0.12) x 10{sup -6}, where the first uncertainty is statistical, the second is systematic, and the third represents the Dalitz-plot signal model dependence. We also observe evidence for the intermediate resonant states f{sub 0}(980), f{sub 0}(1710), and f{sub 2}(2010). Their respective product branching fractions are measured to be (2.70{sub -1.19}{sup +1.25} {+-} 0.36 {+-} 1.17) x 10{sup -6}, (0.50{sub -0.24}{sup +0.46} {+-} 0.04 {+-} 0.10) x 10{sup -6}, and (0.54{sub -0.20}{sup +0.21} {+-} 0.03 {+-} 0.52) x 10{sup -6}. Additionally, we determine the mixing-induced CP-violation parameters to be S = -0.94{sub -0.21}{sup +0.24} {+-} 0.06 and C = -0.17 {+-} 0.18 {+-} 0.04, where the first uncertainty is statistical and the second is systematic. These values are in agreement with the standard model expectation.
Nobel Lecture Series Videos Now Available Online
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Lecture Series Videos Now Available Online Nobel Lecture Videos Now Available Online May 29, 2014 by Kathy Kincade (0 Comments) Three of the NERSC Nobel Lecture Series videos --...
Deriving emissions time series from sparse atmospheric mole fractions
Rigby, Matthew
A growth-based Bayesian inverse method is presented for deriving emissions of atmospheric trace species from temporally sparse measurements of their mole fractions. This work is motivated by many recent studies that have ...
Stochastic Simulation Methods for Precipitation and Streamflow Time Series
Li, Chao
2013-04-30T23:59:59.000Z
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...
Time series models with an EGB2 conditional distribution
Caivano, Michele; Harvey, Andrew
2014-07-09T23:59:59.000Z
: Theory and Methods. John Wiley & Sons Ltd. McDonald,. J.B. and White, S. B. (1993) A comparison of some robust, adaptive, and partially adaptive estimators of regression models. Econo- metric Reviews 12, 103-124 McDonald J. B. and Xu, Y. J. (1995) A... generalization of the beta distrib- ution with applications. Journal of Econometrics 66, 133-152. McNeil, A.J., Frey, R. and Embrechts, P. (2005) Quantitative Risk Manage- ment. Princeton: Princeton University Press. Prentice, R. L. (1975) Discrimination among...
Time Series of Trace Element Concentrations Calculated from
a). A total of 120 samples were collected at sites within the Bay, outside the Golden Gate receives many waste water discharges, especially in areas south of the Dumbarton Bridge, that contain trace
Star Formation through Time ASP Conference Series, Vol. **VOLUME**, 2003
Whittle, Mark
, probably a featureless power law (or closely related componenets such as scattered nuclear light and to the presence of a young stellar population in the nuclear regions of many Seyferts. 1. Introduction and Observations The origin of the nuclear continuum light in Seyferts has received much attention over the years
Online Discovery and Maintenance of Time Series Motifs Abdullah Mueen
Zordan, Victor
the performance of data center chillers, and reported "switching from motif 8 to motif 5 gives us a nearly $40
Learning from Time Series in the Resource-Limited Situations
Ye, Lexiang
2010-01-01T23:59:59.000Z
selected) with the utility function (line 7), picks thewith highest utility and pushes it onto T (lines 8 to 10).utility of that candidate by calling C ALCULATE I NFOR - MATION G AIN () (line
Rare Time Series Motif Discovery from Unbounded Streams
Zordan, Victor
station's solar panel [2], only a fraction of which we can buffer. A pattern we are observing now seems repeated behavior in a dataset with ten million items, and we wish to discover them. We could employ the MK
V-uniform ergodicity of threshold autoregressive nonlinear time series
Boucher, Thomas Richard
2004-09-30T23:59:59.000Z
intervals. Each threshold autoregressive model can be embedded in a Markov chain on Rp. For specifics, if we write Xt = (yt,yt-1,...,yt-p+1)prime the TAR(p) model introduced in (1.1) can be expressed as the following: Xt = AiXt-1 +nut, Xt-1 element Ri (1... ... 0 0 0 1 0 ... 0 ... 0 ... 0 0 0 .. ... 1 0 1 CC CC CC CC CC A 3 and nut = xit(1,0,...,0)prime . Since the distribution of Xt given X0,...,Xt-1 depends upon Xt-1 only, Xt is a Markov chain. The transition measure of Xt is singular w.r.t. Lebesgue...
Events, Neural Systems and Time Series Leslie Smith1
Smith, Leslie S.
Bizarro4 1 Computing Science and Mathematics, School of Natural Sciences, University of Stirling, Stirling Informatics Engineering Department, University of Coimbra, 3030-290 Coimbra, Portugal Abstract. Different
Modeling North Pacific Climate Time Series Don Percival
Percival, Don
-- autocovariance sequence (ACVS) and -- spectral density function (SDF) . essential di#erence between processes and SDF given by s X,# # cov{X t , X t+# } = # 2 # # |# | 1 - # 2 & SX (f ) = # 2 # 1 + # 2 - 2# cos(2#f noise; LM if # > 0) . ACVS and SDF given by s Y,# = # 2 # sin(##)#(1 - 2#)#(# + #) ##(# + 1 - #) & S Y
Modeling North Pacific Climate Time Series Don Percival
Percival, Don
Â autocovariance sequence (ACVS) and Â spectral density function (SDF) Â· essential difference between processes with mean zero and variance 2 3. || SDF given by sX, cov if > 0) Â· ACVS and SDF given by sY, = 2 sin()(1 - 2)( + ) ( + 1 - ) & SY (f) = 2 |2 sin(f)|2 Â· for 1
Applications of Time Series in Finance and Macroeconomics
Ibarra Ramirez, Raul
2011-08-08T23:59:59.000Z
with constant intensity. The last essay applies a dynamic factor model to generate out-of-sample forecasts for the inflation rate in Mexico. Factor models are useful to summarize the information contained in large datasets. We evaluate the role of using a wide...
Game-theoretically Optimal Reconciliation of Contemporaneous Hierarchical Time Series
Paris-Sud XI, Université de
of its applications to, among others, inventory manage- ment for companies [Fliedner, 1999], euro-area], which is essential for electricity companies to reduce electricity production cost and take advantage) reconciliation method, which is guaranteed to only improve any given set of forecasts. This opens up new possibil
Todd, Annika
2014-01-01T23:59:59.000Z
Time-based Rate and Enabling Technology Programs: Smart GridEnvironmental Energy Technologies Division May 2013 The workTime-based Rate and Enabling Technology Programs: Smart Grid
SERI advanced wind turbine blades
Tangler, J.; Smith, B.; Jager, D.
1992-02-01T23:59:59.000Z
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.
SERI advanced wind turbine blades
Tangler, J.; Smith, B.; Jager, D.
1992-02-01T23:59:59.000Z
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.
Michael A. Idowu
2014-10-15T23:59:59.000Z
We intimate deeper connections between the Riemann zeta and gamma functions than often reported and further derive a new formula for expressing the value of $\\zeta(2n+1)$ in terms of zeta at other fractional points. This paper also establishes and presents new expository notes and perspectives on zeta function theory and functional analysis. In addition, a new fundamental result, in form of a new function called omega $\\Omega(s)$, is introduced to analytic number theory for the first time. This new function together with some of its most fundamental properties and other related identities are here disclosed and presented as a new approach to the analysis of sums of generalised harmonic series, related alternating series and polygamma functions associated with Riemann zeta function.
Frontiers in Science Lecture Series
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-SeriesFlickr Flickr Editor's note:Computing | Argonne LeadershipLecture Series
Boyer, Edmond
The Analysis of Harold White applied to the Natario Warp Drive Spacetime. From 10 times the mass Portugal September 30, 2012 Abstract Warp Drives are solutions of the Einstein Field Equations that allows solutions: The Alcubierre warp drive discovered in 1994 and the Natario warp drive discovered in 2001
Paris-Sud XI, UniversitÃ© de
The Analysis of Harold White applied to the Natario Warp Drive Spacetime. From 10 times the mass with power factors.Warp Drives with two warped regions Fernando Loup Residencia de Estudantes Universitas Lisboa Portugal July 15, 2013 Abstract Warp Drives are solutions of the Einstein Field Equations
Regressive Modeling 4 pieces, 2.58 seconds. #12;4Kaiserslautern 9/05 Introduction Examples AR GARCH Stochastic for structural break estimation Simulation results Applications Simulation results for GARCH and SSM #12. Segmented GARCH model: where 0 = 1
ACCESSCCESS MARINE ECOLOGY PROGRESS SERIES
Zuschin, Martin
OPENPEN ACCESSCCESS MARINE ECOLOGY PROGRESS SERIES Mar Ecol Prog Ser Vol. 458: 3952, 2012 doi: 10 and the instability or unpre- dictability of disturbance. Global warming is expec- ted to increase the vulnerability. 2010, Gruber 2011). Much of the available information about the impact on benthic systems comes
MacAdam, Keith
2014-2015Series College of Engineering University of Kentucky is accredited by the Southern of Kentucky. The curriculum in biosystems engineering is administered jointly by the College of Engineering and the College of Agriculture. Graduates earn the Bachelor of Science in Biosystems Engineering degree
Hayes, Jane E.
.................................................................................... 4 EE 101 Creativity and Design in Electrical and Computer Engineering or CS 100 The Computer Science2013-2014Series College of Engineering University of Kentucky is accredited by the Southern of Kentucky. ComputerEngineering Computer engineering involves modeling, design, implementation, testing
Hayes, Jane E.
.................................................................................... 4 EE 101 Creativity and Design in Electrical and Computer Engineering or CS 100 The Computer Science2012-2013 Series College of Engineering University of Kentucky is accredited by the Southern of Kentucky. ComputerEngineering Computer engineering involves modeling, design, implementation, testing
MacAdam, Keith
................................................................................................... 4 EE 101 Creativity and Design in Electrical and Computer Engineering (fulfills the UK Core Arts2014-2015Series College of Engineering University of Kentucky is accredited by the Southern of Kentucky. ComputerEngineering Computer engineering involves modeling, design, implementation, testing
MacAdam, Keith
of the College of Engineering. Freshman Year First Semester Hours EE 101 Creativity and Design in Electrical2014-2015Series College of Engineering University of Kentucky is accredited by the Southern of Kentucky. Electrical Engineering The undergraduate electrical engineering degree program seeks to produce
Dietz, Henry G. "Hank"
.................................................................................... 4 EE 101 Creativity and Design in Electrical and Computer Engineering or CS 100 The Computer Science2012-2013 Series College of Engineering University of Kentucky is accredited by the Southern://www.sacscoc.org for questions about the accreditation of University of Kentucky. ComputerEngineering Computer engineering
Small Flock Poultry Management Series
New Hampshire, University of
to care for your chicks in advance of them arriving at your home. Newly hatched chicks can not control (water splashed on the hot bulb will shatter it); Where possible use a `Hard Glass' bulb Family, HomeSmall Flock Poultry Management Series Brooding Chicks Starting your chicks Raising a flock
Mechanical Engineering Department Seminar Series
Eustice, Ryan
Mechanical Engineering Department Seminar Series Rational Mechanics of Viral Shells: Is Continuum Theory a Stretch? William S. Klug Associate Professor, Mechanical & Aerospace Engineering, University-assembly. The capacity of these shells to respond structurally and mechanically to physical and chemical stimuli also
Mechanical Engineering Department Seminar Series
Papalambros, Panos
Madison as an Honorary Fellow in 2012 after retiring from General Motors Research & DevelopmentMechanical Engineering Department Seminar Series Ignition and Flame Growth in Spray-Guided Stratified-Charge Gasoline Engines Dr. Todd Fansler Engine Research Center University of Wisconsin - Madison
India: Asia-Pacific energy series country report
Gazdar, M.N.
1992-03-01T23:59:59.000Z
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.
Wavelet Analysis of Clock Noise Don Percival
Percival, Don
#12;Wavelet-Based Analysis of Variance: I Â· consider `energy' in time series: X 2 = XT X = N-1 t=0 X2 t Â· energy preserved in MODWT coefficients: X 2 = J0 j=1 Wj 2 + VJ0 2 Â· leads to analysis of sample variance Y (2, j) since 2 Y (j) = 1 22 Y (2, j) Â· Q: `old wine in a new bottle,' or something new? 9 #12;What
Mavrommatis, Kostas [JGI
2013-01-22T23:59:59.000Z
DOE JGI's Kostas Mavrommatis, chair of the Scalability of Comparative Analysis, Novel Algorithms and Tools panel, at the Metagenomics Informatics Challenges Workshop held at the DOE JGI on October 12-13, 2011.
of energy consumption, resource-aware code generation, or re- targetable code generators. Program execution providing explicit sup- port for WCET analysis would have on usage of these code annotations is discussed
Simpson, Jared [Wellcome Trust Sanger Institute
2013-01-22T23:59:59.000Z
Wellcome Trust Sanger Institute's Jared Simpson on "Memory efficient sequence analysis using compressed data structures" at the Metagenomics Informatics Challenges Workshop held at the DOE JGI on October 12-13, 2011
Prevosto, L.; Mancinelli, B. [Grupo de Descargas Eléctricas, Departamento Ing. Electromecánica, Facultad Regional Venado Tuerto (UTN), Laprida 651, Venado Tuerto (2600) Santa Fe (Argentina)] [Grupo de Descargas Eléctricas, Departamento Ing. Electromecánica, Facultad Regional Venado Tuerto (UTN), Laprida 651, Venado Tuerto (2600) Santa Fe (Argentina); Kelly, H. [Grupo de Descargas Eléctricas, Departamento Ing. Electromecánica, Facultad Regional Venado Tuerto (UTN), Laprida 651, Venado Tuerto (2600) Santa Fe (Argentina) [Grupo de Descargas Eléctricas, Departamento Ing. Electromecánica, Facultad Regional Venado Tuerto (UTN), Laprida 651, Venado Tuerto (2600) Santa Fe (Argentina); Instituto de Física del Plasma (CONICET), Departamento de Física, Facultad de Ciencias Exactas y Naturales (UBA) Ciudad Universitaria Pab. I, 1428 Buenos Aires (Argentina)
2013-12-15T23:59:59.000Z
This work describes the application of Langmuir probe diagnostics to the measurement of the electron temperature in a time-fluctuating-highly ionized, non-equilibrium cutting arc. The electron retarding part of the time-averaged current-voltage characteristic of the probe was analysed, assuming that the standard exponential expression describing the electron current to the probe in collision-free plasmas can be applied under the investigated conditions. A procedure is described which allows the determination of the errors introduced in time-averaged probe data due to small-amplitude plasma fluctuations. It was found that the experimental points can be gathered into two well defined groups allowing defining two quite different averaged electron temperature values. In the low-current region the averaged characteristic was not significantly disturbed by the fluctuations and can reliably be used to obtain the actual value of the averaged electron temperature. In particular, an averaged electron temperature of 0.98 ± 0.07 eV (= 11400 ± 800 K) was found for the central core of the arc (30 A) at 3.5 mm downstream from the nozzle exit. This average included not only a time-average over the time fluctuations but also a spatial-average along the probe collecting length. The fitting of the high-current region of the characteristic using such electron temperature value together with the corrections given by the fluctuation analysis showed a relevant departure of local thermal equilibrium in the arc core.
Social Science Seminars Series Business Innovation for Water Workshop
Wehrli, Bernhard
Social Science Seminars Series Business Innovation for Water Workshop Monday, August 27th 2012 will differentiate between business, social and institutional innovation as well as different levels of analysis (e, Eawag main building D24 12:00 Â 12:45 Heiko Gebauer, Eawag Innovation in water and wastewater services
CERNA WORKING PAPER SERIES Innovation and international technology transfer
Paris-Sud XI, UniversitÃ© de
1 CERNA WORKING PAPER SERIES Innovation and international technology transfer: The case technology transfer: The case of the Chinese photovoltaic industry Arnaud de la Tour, Matthieu Glachant, Yann emphasis on the role of technology transfers and innovation. Our analysis combines a review
CERNA WORKING PAPER SERIES Strategic inputs into patent pools
Paris-Sud XI, UniversitÃ© de
1 CERNA WORKING PAPER SERIES Strategic inputs into patent pools Justus Baron Henry Delcamp Working;2 Strategic inputs into patent pools1 Justus BARON2 Henry DELCAMP3 Abstract: This article explores what factors determine the decision of a patent pool to accept new inputs. We propose a dynamic analysis
CERNA WORKING PAPER SERIES Assessing Indicators of Patent Quality
1 CERNA WORKING PAPER SERIES Assessing Indicators of Patent Quality: Complex vs. Discrete-00488275,version1-1Jun2010 #12;2 Assessing Indicators of Patent Quality: Complex vs. Discrete Technologies indicators of patent quality in complex and discrete technologies using factor analysis and econometric
Summer Series 2012 - Shashi Buluswar
Shashi Buluswar
2012-08-08T23:59:59.000Z
The last installment of the "Summer Series of Conversations" took place Wednesday, August 1, with guest Shashi Buluswar, the executive director of the LBNL Institute for Globally Transformative Technologies (LIGTT). The Institute seeks to foster the discovery, development and deployment of a generation of low-carbon, affordable technologies that will advance sustainable methods to fight global poverty. The event, was hosted by Public Affairs Head Jeff Miller.
Summer Series 2012 - Shashi Buluswar
Shashi Buluswar
2013-06-24T23:59:59.000Z
The last installment of the "Summer Series of Conversations" took place Wednesday, August 1, with guest Shashi Buluswar, the executive director of the LBNL Institute for Globally Transformative Technologies (LIGTT). The Institute seeks to foster the discovery, development and deployment of a generation of low-carbon, affordable technologies that will advance sustainable methods to fight global poverty. The event, was hosted by Public Affairs Head Jeff Miller.
Vogelius, Ivan R., E-mail: vogelius@gmail.com [Department of Radiation Oncology, Rigshospitalet, University of Copenhagen (Denmark); Bentzen, Soren M. [Department of Human Oncology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin (United States)] [Department of Human Oncology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin (United States)
2013-01-01T23:59:59.000Z
Purpose: To present a novel method for meta-analysis of the fractionation sensitivity of tumors as applied to prostate cancer in the presence of an overall time factor. Methods and Materials: A systematic search for radiation dose-fractionation trials in prostate cancer was performed using PubMed and by manual search. Published trials comparing standard fractionated external beam radiation therapy with alternative fractionation were eligible. For each trial the {alpha}/{beta} ratio and its 95% confidence interval (CI) were extracted, and the data were synthesized with each study weighted by the inverse variance. An overall time factor was included in the analysis, and its influence on {alpha}/{beta} was investigated. Results: Five studies involving 1965 patients were included in the meta-analysis of {alpha}/{beta}. The synthesized {alpha}/{beta} assuming no effect of overall treatment time was -0.07 Gy (95% CI -0.73-0.59), which was increased to 0.47 Gy (95% CI -0.55-1.50) if a single highly weighted study was excluded. In a separate analysis, 2 studies based on 10,808 patients in total allowed extraction of a synthesized estimate of a time factor of 0.31 Gy/d (95% CI 0.20-0.42). The time factor increased the {alpha}/{beta} estimate to 0.58 Gy (95% CI -0.53-1.69)/1.93 Gy (95% CI -0.27-4.14) with/without the heavily weighted study. An analysis of the uncertainty of the {alpha}/{beta} estimate showed a loss of information when the hypofractionated arm was underdosed compared with the normo-fractionated arm. Conclusions: The current external beam fractionation studies are consistent with a very low {alpha}/{beta} ratio for prostate cancer, although the CIs include {alpha}/{beta} ratios up to 4.14 Gy in the presence of a time factor. Details of the dose fractionation in the 2 trial arms have critical influence on the information that can be extracted from a study. Studies with unfortunate designs will supply little or no information about {alpha}/{beta} regardless of the number of subjects enrolled.
Zahir Salhi; Earl Babcock; Alexander Ioffe
2012-01-25T23:59:59.000Z
We present a finite element calculation of the magnetic field (MagNet software) taken with the newly proposed PASTIS Coil, which uses a wide-angle banana shaped 3He Neuton Spin Filter cell (NSF) to cover a large range of scattering angle. The goal of this insert is to enable XYZ polarization analysis to be installed on the future thermal time-of flight spectrometer TOPAS.
Stewart, Sarah T.
a large target area with a reflectron, simultaneously optimizing mass resolution, particle detection. The resulting ions, with broad energy and angular distributions, are accelerated through a modified reflectron remote sensing, collection and analysis of dust grains that have survived impact on the Earth, capture
Department of Electrical and Computer Engineering Fall 2011 Seminar Series
Pal, Ranadip
transcription requires the understanding of cooperative regulations by TFs and miRNAs, which however haveDepartment of Electrical and Computer Engineering Fall 2011 Seminar Series Seminar Title: Uncover context-specific co-regulations by transcription factors and microRNAs using Bayesian factor model Time
Chu, Xi; Chu, Shih-I
2001-07-13T23:59:59.000Z
-order har- monic generation ~HHG! of orders as high as 300 has been observed @5,6#, with photon energies in excess of 500 eV. A novel concept of ‘‘intra-atomic’’ phase matching has been recently introduced, allowing the enhancement of the inten- sity of a..., as shown in Fig. 2, the major time domain contributing to the total har- monic intensity is the central part of the laser pulse with significant field intensity ~for example, between 24 to 14 optical cycles!. Beyond this central time regime, the har- monic...
Boyer, Edmond
error and coefficient stability. Models for mitral valve closing, aor- tic valve closing and opening, fitted between CMA features and echo timings, were eval- uated with their correlation coefficient, model instants showed satisfactory results, whereas the estimation of the opening instant of the mitral valve
Using Secure Real-time Padding Protocol to Secure Voice-over-IP from Traffic Analysis Attacks
Mohanty, Saswat
2012-07-16T23:59:59.000Z
on encrypted calls. It pads every RTP or SRTP packet to a predefined packet size, adds dummy packets at the end of every burst in a controllable way, adds dummy bursts to hide silence spurts, and hides information about the packet inter-arrival timings...
Real-Time Forcast Model Analysis of Daily Average Building Load for a Thermal Storage System Control
Song, L.; Joo, I. S.; Guwana, S.
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...
TDS3000C Series Digital Phosphor Oscilloscopes
Kleinfeld, David
xx TDS3000C Series Digital Phosphor Oscilloscopes ZZZ User Manual *P071230802* 071-2308-02 #12;#12;TDS3000C Series Digital Phosphor Oscilloscopes ZZZ User Manual xx www.tektronix.com 071-2308-02 #12
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to User GroupInformationE-GovNaturalInstitute CriticalCross
Bank, J.; Hambrick, J.
2013-05-01T23:59:59.000Z
NREL is developing measurement devices and a supporting data collection network specifically targeted at electrical distribution systems to support research in this area. This paper describes the measurement network which is designed to apply real-time and high speed (sub-second) measurement principles to distribution systems that are already common for the transmission level in the form of phasor measurement units and related technologies.
MACKEY, T.C.
2006-03-14T23:59:59.000Z
M&D Professional Services, Inc. (M&D) is under subcontract to Pacific Northwest National Laboratories (PNNL) to perform seismic analysis of the Hanford Site Double-Shell Tanks (DSTs) in support of a project entitled ''Double-Shell Tank DSV Integrity Project-DST Thermal and Seismic Analyses''. The overall scope of the project is to complete an up-to-date comprehensive analysis of record of the DST System at Hanford in support of Tri-Party Agreement Milestone M-48-14. The thermal and operating loads analysis of the DSTs is documented in Rinker et al. (2004). The work statement provided to M&D (PNNL 2003) required that the seismic analysis of the DST assess the impacts of potentially non-conservative assumptions in previous analyses and account for the additional soil mass due to the as-found soil density increase, the effects of material degradation, additional thermal profiles applied to the full structure including the soil-structure response with the footings, the non-rigid (low frequency) response of the tank roof, the asymmetric seismic-induced soil loading, the structural discontinuity between the concrete tank wall and the support footing and the sloshing of the tank waste. The seismic analysis considers the interaction of the tank with the surrounding soil, and the effects of the primary tank contents. The DST and the surrounding soil are modeled as a system of finite elements. The depth and width of the soil incorporated into the analysis model are sufficient to obtain appropriately accurate analytical results. The analyses required to support the work statement differ from previous analysis of the DSTs in that the soil-structure interaction (SSI) model includes several (nonlinear) contact surfaces in the tank structure, and the contained waste must be modeled explicitly in order to capture the fluid-structure interaction behavior between the primary tank and contained waste. Soil-structure interaction analyses are traditionally solved in the frequency domain, but frequency domain analysis is limited to systems with linear responses. The nonlinear character of the coupled SSI model and tank structural model requires that the seismic analysis be solved in the time domain. However, time domain SSI analysis is somewhat nontraditional and requires that the appropriate methodology be developed and demonstrated. Moreover, the analysis of seismically induced fluid-structure interaction between the explicitly modeled waste and the primary tank must be benchmarked against known solutions to simpler problems before being applied to the more complex analysis of the DSTs. The objective of this investigation is to establish the methodology necessary to perform the required SSI analysis of the DSTs in the time domain. Specifically, the analysis establishes the capabilities and limitations of the time domain codes ANSYS and Dytran for performing seismic SSI analysis of the DSTs. The benchmarking of the codes Dytran and ANSYS for performing seismically induced fluid-structure interaction (FSI) between the contained waste and the DST primary tank are documented in Abatt (2006) and Carpenter and Abatt (2006), respectively. The results of those two studies show that both codes have the capability to analyze the fluid-structure interaction behavior of the primary tank and contained waste. As expected, Dytran appears to have more robust capabilities for FSI analysis. The ANSYS model used in that study captures much of the FSI behavior, but does have some limitations for predicting the convective response of the waste and possibly the response of the waste in the knuckle region of the primary tank. While Dytran appears to have somewhat stronger capabilities for the analysis of the FSI behavior in the primary tank, it is more practical for the overall analysis to use ANSYS. Thus, Dytran served the purpose of helping to identify limitations in the ANSYS FSI analysis so that those limitations can be addressed in the structural evaluation of the primary tank. The limitations of ANSYS for predicting the details of the convective
Rapidly Convergent Series of the Divisors Functions
N. A. Carella
2014-07-28T23:59:59.000Z
This note gives a few rapidly convergent series representations of the sums of divisors functions. These series have various applications such as exact evaluations of some power series, computing estimates and proving the existence results of some special values of the sums of divisors functions.
ESSENCE Good practice document series to improving
Rambaut, Andrew
ESSENCE Good practice document series 2012 Five keys to improving research costing in low ESSENCE Good practice document series Five keys to improving research costing in low- and middle- income countries 2012 ESSENCE Good practice document series Contents About ESSENCE and this 2 good practise
Maryland, Baltimore County, University of
Business Exploration Series SkillSoft's latest content innovation, the Business Exploration Series to our Business Skills Courseware Library. The Business Exploration Series provides learners two different learning assets: Business Impact Series Challenge Series Analyze frequently encountered
Direct connection of series self-excited generators and HVDC converters
Arrillaga, J.; Macdonald, S.J.; Watson, N.R.; Watson, S. (Univ. Canterbury, Christchurch (New Zealand))
1993-10-01T23:59:59.000Z
An alternative and simpler solution is proposed for the direct connection of generators to HVdc converters. The generator exciter windings are connected in series with the output of the HVdc converter and take the place of the conventional smoothing reactor. Existing steady state and time domain simulation programs are modified to represent the behavior of the series direct connection scheme. It is shown that series excitation extends naturally the power transmission capability and permits fast fault clearances.
Alonso, Juan J. [Stanford University; Iaccarino, Gianluca [Stanford University
2013-08-25T23:59:59.000Z
The following is the final report covering the entire period of this aforementioned grant, June 1, 2011 - May 31, 2013 for the portion of the effort corresponding to Stanford University (SU). SU has partnered with Sandia National Laboratories (PI: Mike S. Eldred) and Purdue University (PI: Dongbin Xiu) to complete this research project and this final report includes those contributions made by the members of the team at Stanford. Dr. Eldred is continuing his contributions to this project under a no-cost extension and his contributions to the overall effort will be detailed at a later time (once his effort has concluded) on a separate project submitted by Sandia National Laboratories. At Stanford, the team is made up of Profs. Alonso, Iaccarino, and Duraisamy, post-doctoral researcher Vinod Lakshminarayan, and graduate student Santiago Padron. At Sandia National Laboratories, the team includes Michael Eldred, Matt Barone, John Jakeman, and Stefan Domino, and at Purdue University, we have Prof. Dongbin Xiu as our main collaborator. The overall objective of this project was to develop a novel, comprehensive methodology for uncertainty quantification by combining stochastic expansions (nonintrusive polynomial chaos and stochastic collocation), the adjoint approach, and fusion with experimental data to account for aleatory and epistemic uncertainties from random variable, random field, and model form sources. The expected outcomes of this activity were detailed in the proposal and are repeated here to set the stage for the results that we have generated during the time period of execution of this project: 1. The rigorous determination of an error budget comprising numerical errors in physical space and statistical errors in stochastic space and its use for optimal allocation of resources; 2. A considerable increase in efficiency when performing uncertainty quantification with a large number of uncertain variables in complex non-linear multi-physics problems; 3. A solution to the long-time integration problem of spectral chaos approaches; 4. A rigorous methodology to account for aleatory and epistemic uncertainties, to emphasize the most important variables via dimension reduction and dimension-adaptive refinement, and to support fusion with experimental data using Bayesian inference; 5. The application of novel methodologies to time-dependent reliability studies in wind turbine applications including a number of efforts relating to the uncertainty quantification in vertical-axis wind turbine applications. In this report, we summarize all accomplishments in the project (during the time period specified) focusing on advances in UQ algorithms and deployment efforts to the wind turbine application area. Detailed publications in each of these areas have also been completed and are available from the respective conference proceedings and journals as detailed in a later section.
NREL Variability and Reserves Analysis for the Western Interconnect (Presentation)
Milligan, M.; King, J.
2011-10-01T23:59:59.000Z
Additional variability and uncertainty increase reserve requirements. In this light, this presentation discusses how use of generation reserves can be optimized for managing variability and uncertainty. Conclusions of this presentation are: (1) Provided a method for calculating additional reserve requirements due to wind and solar production; (2) Method is based on statistical analysis of historical time series data; (3) Reserves are dynamic, produced for each hour; (4) Reserve time series are calculated from and synchronized to simulation data; (5) PROMOD can not model directly, but workarounds exist for regulation and spin; and (6) Other production modeling packages have varying capability for reserves modeling.
88 Power Series 8.1 Introduction and Review of Power Series
Sikora, Adam S.
88 Power Series Methods 8.1 Introduction and Review of Power Series In Section 3.3 we saw by inspection, linear equations with variable coefficients generally require the power series techniques - 2xy + n(n + 1)y = 0. In this section we introduce the power series method in its simplest form and
Real-time and post-frac' 3-D analysis of hydraulic fracture treatments in geothermal reservoirs
Wright, C.A.; Tanigawa, J.J.; Hyodo, Masami; Takasugi, Shinji
1994-01-20T23:59:59.000Z
Economic power production from Hot Dry Rock (HDR) requires the establishment of an efficient circulation system between wellbores in reservoir rock with extremely low matrix permeability. Hydraulic fracturing is employed to establish the necessary circulation system. Hydraulic fracturing has also been performed to increase production from hydrothermal reservoirs by enhancing the communication with the reservoir's natural fracture system. Optimal implementation of these hydraulic fracturing applications, as with any engineering application, requires the use of credible physical models and the reconciliation of the physical models with treatment data gathered in the field. Analysis of the collected data has shown that 2-D models and 'conventional' 3-D models of the hydraulic fracturing process apply very poorly to hydraulic fracturing in geothermal reservoirs. Engineering decisions based on these more 'conventional' fracture modeling techniques lead to serious errors in predicting the performance of hydraulic fracture treatments. These errors can lead to inappropriate fracture treatment design as well as grave errors in well placement for hydrothermal reservoirs or HDR reservoirs. This paper outlines the reasons why conventional modeling approaches fall short, and what types of physical models are needed to credibly estimate created hydraulic fracture geometry. The methodology of analyzing actual measured fracture treatment data and matching the observed net fracturing pressure (in realtime as well as after the treatment) is demonstrated at two separate field sites. Results from an extensive Acoustic Emission (AE) fracture diagnostic survey are also presented for the first case study aS an independent measure of the actual created hydraulic fracture geometry.
Climate Change Task Force Webinar Series | Department of Energy
Broader source: Energy.gov (indexed) [DOE]
Climate Change Task Force Webinar Series Climate Change Task Force Webinar Series The four-part Climate Change Impacts and Indian Country webinar series provided tribal leaders an...
Kim, Chansoo, S.M. Massachusetts Institute of Technology
2008-01-01T23:59:59.000Z
A series of Molecular Dynamics (MD) simulations using the GROMACS® package has been performed in this thesis. It is used to mimic and simulate the hydration water in Lysozyme with three different hydration levels (h = 0.3, ...
Barbose, Galen; Goldman, Charles; Bharvirkar, Ranjit; Hopper,Nicole; Ting, Michael; Neenan, Bernie
2005-08-01T23:59:59.000Z
Demand response (DR) has been broadly recognized to be an integral component of well-functioning electricity markets, although currently underdeveloped in most regions. Among the various initiatives undertaken to remedy this deficiency, public utility commissions (PUC) and utilities have considered implementing dynamic pricing tariffs, such as real-time pricing (RTP), and other retail pricing mechanisms that communicate an incentive for electricity consumers to reduce their usage during periods of high generation supply costs or system reliability contingencies. Efforts to introduce DR into retail electricity markets confront a range of basic policy issues. First, a fundamental issue in any market context is how to organize the process for developing and implementing DR mechanisms in a manner that facilitates productive participation by affected stakeholder groups. Second, in regions with retail choice, policymakers and stakeholders face the threshold question of whether it is appropriate for utilities to offer a range of dynamic pricing tariffs and DR programs, or just ''plain vanilla'' default service. Although positions on this issue may be based primarily on principle, two empirical questions may have some bearing--namely, what level of price response can be expected through the competitive retail market, and whether establishing RTP as the default service is likely to result in an appreciable level of DR? Third, if utilities are to have a direct role in developing DR, what types of retail pricing mechanisms are most appropriate and likely to have the desired policy impact (e.g., RTP, other dynamic pricing options, DR programs, or some combination)? Given a decision to develop utility RTP tariffs, three basic implementation issues require attention. First, should it be a default or optional tariff, and for which customer classes? Second, what types of tariff design is most appropriate, given prevailing policy objectives, wholesale market structure, ratemaking practices and standards, and customer preferences? Third, if a primary goal for RTP implementation is to induce DR, what types of supplemental activities are warranted to support customer participation and price response (e.g., interval metering deployment, customer education, and technical assistance)?
Downhole delay assembly for blasting with series delay
Ricketts, Thomas E. (Grand Junction, CO)
1982-01-01T23:59:59.000Z
A downhole delay assembly is provided which can be placed into a blasthole for initiation of explosive in the blasthole. The downhole delay assembly includes at least two detonating time delay devices in series in order to effect a time delay of longer than about 200 milliseconds in a round of explosions. The downhole delay assembly provides a protective housing to prevent detonation of explosive in the blasthole in response to the detonation of the first detonating time delay device. There is further provided a connection between the first and second time delay devices. The connection is responsive to the detonation of the first detonating time delay device and initiates the second detonating time delay device. A plurality of such downhole delay assemblies are placed downhole in unfragmented formation and are initiated simultaneously for providing a round of explosive expansions. The explosive expansions can be used to form an in situ oil shale retort containing a fragmented permeable mass of formation particles.
Lynch, Ryan S.; Kaspi, Victoria M.; Archibald, Anne M.; Karako-Argaman, Chen [Department of Physics, McGill University, 3600 University Street, Montreal, QC H3A 2T8 (Canada)] [Department of Physics, McGill University, 3600 University Street, Montreal, QC H3A 2T8 (Canada); Boyles, Jason; Lorimer, Duncan R.; McLaughlin, Maura A.; Cardoso, Rogerio F. [Department of Physics, West Virginia University, 111 White Hall, Morgantown, WV 26506 (United States)] [Department of Physics, West Virginia University, 111 White Hall, Morgantown, WV 26506 (United States); Ransom, Scott M. [National Radio Astronomy Observatory, 520 Edgemont Road, Charlottesville, VA 22903 (United States)] [National Radio Astronomy Observatory, 520 Edgemont Road, Charlottesville, VA 22903 (United States); Stairs, Ingrid H.; Berndsen, Aaron; Cherry, Angus; McPhee, Christie A. [Department of Physics and Astronomy, University of British Columbia, 6224 Agricultural Road, Vancouver, BC V6T 1Z1 (Canada)] [Department of Physics and Astronomy, University of British Columbia, 6224 Agricultural Road, Vancouver, BC V6T 1Z1 (Canada); Hessels, Jason W. T.; Kondratiev, Vladislav I.; Van Leeuwen, Joeri [ASTRON, The Netherlands Institute for Radio Astronomy, Postbus 2, 7990-AA Dwingeloo (Netherlands)] [ASTRON, The Netherlands Institute for Radio Astronomy, Postbus 2, 7990-AA Dwingeloo (Netherlands); Epstein, Courtney R. [Department of Astronomy, Ohio State University, 140 West 18th Avenue, Columbus, OH 43210 (United States)] [Department of Astronomy, Ohio State University, 140 West 18th Avenue, Columbus, OH 43210 (United States); Pennucci, Tim [Department of Astronomy, University of Virginia, P.O. Box 400325, Charlottesville, VA 22904 (United States)] [Department of Astronomy, University of Virginia, P.O. Box 400325, Charlottesville, VA 22904 (United States); Roberts, Mallory S. E. [Eureka Scientific Inc., 2452 Delmer Street, Suite 100, Oakland, CA 94602 (United States)] [Eureka Scientific Inc., 2452 Delmer Street, Suite 100, Oakland, CA 94602 (United States); Stovall, Kevin, E-mail: rlynch@physics.mcgill.ca [Center for Advanced Radio Astronomy and Department of Physics and Astronomy, University of Texas at Brownsville, Brownsville, TX 78520 (United States)] [Center for Advanced Radio Astronomy and Department of Physics and Astronomy, University of Texas at Brownsville, Brownsville, TX 78520 (United States)
2013-02-15T23:59:59.000Z
We have completed a 350 MHz Drift-scan Survey using the Robert C. Byrd Green Bank Telescope with the goal of finding new radio pulsars, especially millisecond pulsars that can be timed to high precision. This survey covered {approx}10,300 deg{sup 2} and all of the data have now been fully processed. We have discovered a total of 31 new pulsars, 7 of which are recycled pulsars. A companion paper by Boyles et al. describes the survey strategy, sky coverage, and instrumental setup, and presents timing solutions for the first 13 pulsars. Here we describe the data analysis pipeline, survey sensitivity, and follow-up observations of new pulsars, and present timing solutions for 10 other pulsars. We highlight several sources-two interesting nulling pulsars, an isolated millisecond pulsar with a measurement of proper motion, and a partially recycled pulsar, PSR J0348+0432, which has a white dwarf companion in a relativistic orbit. PSR J0348+0432 will enable unprecedented tests of theories of gravity.
UNEP Policy Series ECOSYSTEM MANAGEMENT
per cent Â to 9 billion people Â by mid-century. At the same time, our forests face many threats to life on Earth and to the quality of human life in particular. Currently, some 410 million people are highly dependent on them for subsistence and income, and 1.6 billion people depend on forest goods
Denman Forestry Issues Series: Washington's Forest Regulations
Borenstein, Elhanan
Denman Forestry Issues Series: Washington's Forest Regulations and Their Impacts on The Private College of Forest Resources continued its Denman Forestry Issues Series on May 30, 2001. Alumni landowners. Policy analysts and speakers representing the Washington Farm Forestry Assn., Washington Forest
Sustainability Bulletin USGBC Sustainable Speaker Series
Kidd, William S. F.
series of events recognizing Earth Day and the need to increase sustainable living on campus. This yearMay 2014 Sustainability Bulletin #12;USGBC Sustainable Speaker Series May 13 Give and Go May 13th themselves from many of the technology devices that have become ubiquitous in our daily lives, and to start
A Proposed Data Fusion Architecture for Micro-Zone Analysis and Data Mining
Kevin McCarthy; Milos Manic
2012-08-01T23:59:59.000Z
Data Fusion requires the ability to combine or “fuse” date from multiple data sources. Time Series Analysis is a data mining technique used to predict future values from a data set based upon past values. Unlike other data mining techniques, however, Time Series places special emphasis on periodicity and how seasonal and other time-based factors tend to affect trends over time. One of the difficulties encountered in developing generic time series techniques is the wide variability of the data sets available for analysis. This presents challenges all the way from the data gathering stage to results presentation. This paper presents an architecture designed and used to facilitate the collection of disparate data sets well suited to Time Series analysis as well as other predictive data mining techniques. Results show this architecture provides a flexible, dynamic framework for the capture and storage of a myriad of dissimilar data sets and can serve as a foundation from which to build a complete data fusion architecture.
Test Series 2. 3 detailed test plan
Not Available
1983-12-01T23:59:59.000Z
Test Series 2.3 is chronologically the second of the five sub-series of tests which comprise Test Series 2, the second major Test Series as part of the combustion research phase to be carried out at the Grimethorpe Experimental Pressurised Fluidised Bed Combustion Facility. Test Series 2.3 will consist of 700 data gathering hours which is expected to require some 1035 coal burning hours. The tests will be performed using US supplied coal and dolomite. This will be the first major series of tests on the Facility with other than the UK datum coal and dolomite. The document summarises the background to the facility and the experimental program. Described are modifications which have been made to the facility following Test Series 2.1 and a series of Screening Tests. Detailed test objectives are specified as are the test conditions for the experiments which comprise the test series. The test results will provide information on the effects of the bed temperature, excess air level, Ca/S ratio, number of coal feed lines, and combustion efficiency and sulphur retention. A significant aspect of the test series will be part load tests which will investigate the performance of the facility under conditions of turn down which simulate load following concepts specified for two combined cycle concepts, i.e., their CFCC combined cycle and a turbo charged combined cycle. The material test plan is also presented. The principal feature of the materials programme is the planned exposure of a set of static turbine blade specimens in a cascade test loop to the high temperature, high pressure flue gas. A schedule for the programme is presented as are contingency plans.
Kazuo Yamaguchi
2011-01-01T23:59:59.000Z
other hand, for any given accelerated failure-time model, weconsidered improvements of accelerated failure-time models.Although representative accelerated failure-time models can
On site relay transient testing for a series compensation upgrade
McLaren, P.G.; Kuffel, R.; Giesbrecht, J.; Keerthipala, W. (Manitoba HVDC Research Centre, Winnipeg, Manitoba (Canada)); Castro, A.; Fedirchuk, D.; Innes, S. (Manitoba Hydro, Winnipeg, Manitoba (Canada)); Mustaphi, K. (Northern States Power, Minneapolis, MN (United States)); Sletten, K. (Minnesota Power, Duluth, MN (United States))
1994-07-01T23:59:59.000Z
This paper describes tests on the relays on a long 500kV ac line carried out on site using the RTDS (Real Time Digital Simulator) of the Manitoba HVDC Research Centre. The purpose of the tests was to examine the relay behavior when series compensation is inserted in the line in 1993. New settings for the relays have been found which will give adequate cover for all faults although some faults will be entirely dependent on the communication link for short clearance times.
Identifying eroding and depositional reaches of valley by analysis of suspended sediment transport
Singer, Michael
Identifying eroding and depositional reaches of valley by analysis of suspended sediment transport in suspended sediment transport and storage along the Sacramento River were assessed by evaluating the suspended sediment budget for the main channel accounting for all tributaries and diversions. Time series
Mesbah, Mounir
pollution, semi parametric models. 1.1 Introduction Time-series studies of air pollution and health was an overestimation of the eect of air pollution on health. More recently, in a issue of Epidemiology, Ramsay et al1 Longitudinal Analysis of Short term Bronchiolitis Air Pollution Association using Semi Parametric
Modeling and analysis of pumps in a wastewater treatment plant: A data-mining approach
Kusiak, Andrew
Modeling and analysis of pumps in a wastewater treatment plant: A data-mining approach Andrew Available online 28 April 2013 Keywords: Data mining Pump modeling Multi-layer perceptron neural network Time series Pump scheduling and controlling Energy consumption a b s t r a c t A data-mining approach
Analysis of patent activity in the field of quantum information processing
Ryszard Winiarczyk; Piotr Gawron; Jaros?aw Adam Miszczak; ?ukasz Pawela; Zbigniew Pucha?a
2012-12-11T23:59:59.000Z
This paper provides an analysis of patent activity in the field of quantum information processing. Data from the PatentScope database from the years 1993-2011 was used. In order to predict the future trends in the number of filed patents time series models were used.
Analysis of patent activity in the field of quantum information processing
Winiarczyk, Ryszard; Miszczak, Jaros?aw Adam; Pawela, ?ukasz; Pucha?a, Zbigniew
2013-01-01T23:59:59.000Z
This paper provides an analysis of patent activity in the field of quantum information processing. Data from the PatentScope database from the years 1993-2011 was used. In order to predict the future trends in the number of filed patents time series models were used.
Latin American & Caribbean Studies Seminar Series
Liu, Taosheng
S Latin American & Caribbean Studies Seminar Series Learn more: www.LatinAmerica.isp.msu.edu All presentations take place in room 201 International Center at 3:00-4:30 pm unless noted. September 14 Caribbean
Frontiers in Global Change Seminar Series presents ...
Frontiers in Global Change Seminar Series presents ... The Frozen Ocean of Snowball Earth Monday in the interaction of solar radiation with snow, clouds, and sea ice, and their role in climate. His work has driven
Summer Series 2012 - Conversation with Omar Yaghi
Omar Yaghi
2013-06-24T23:59:59.000Z
Jeff Miller, head of Public Affairs, sat down in conversation with Omar Yaghi, director of the Molecular Foundry, in the first of a series of "powerpoint-free" talks on July 11th 2012, at Berkeley Lab.
2012-2013 Series College of Agriculture
Hayes, Jane E.
2012-2013 Series College of Agriculture and School of Human Environmental Sciences University about the accreditation of University of Kentucky. AgriculturalBiotechnology Agriculturalbiotechnologyencompassescellularandmolecularapproaches to the manipulation and improvement of agricultural plants, animals and microorganisms
Human Biology Program Brown Bag Series
Indiana University
Human Biology Program Brown Bag Series Fall 2012 12:001:00 pm Morrison Hall 103 SeptemberVisser Department of Biology & Human Biology Prog. "Good Behavior, Bad Behavior: Insights From the Microbial
Security Lab Series Introduction to Web Technologies
Tao, Lixin
Security Lab Series Introduction to Web Technologies Prof. Lixin Tao Pace University http...........................................................................................................................................1 1.1 Web ArchitectureScript..................................................................................16 4.6 Creating Your First JavaServer Page Web Application
Frontiers in Chemical Imaging Seminar Series
Frontiers in Chemical Imaging Seminar Series On the trail of the Chimera The Atom the Chimera is still elusive. 1. Thomas F. Kelly and David J. Larson. Ann Rev. Materials Res 42 (2012) 1. 2
ORC Seminar Series Presents: "Nonlinear laser lithography
Anderson, Jim
ORC Seminar Series Presents: "Nonlinear laser lithography: formation of self-authored 50 journal and more than 150 conference papers and he has given more than 100 invited talks. http://www.orc
Advances in Photosynthesis and Respiration Series Editor
Govindjee "Gov"
Springer Advances in Photosynthesis and Respiration Series Editor: Govindjee, University of Illinois at Urbana-Champaign, USA Volume 29 Photosynthesis in silico Understanding Complexity from Molecules to Ecosystems Edited by; A. Laisk, L. Nedbal, and Govindjee Photosynthesis in silico
Dual Lindstedt series and KAM theorem
Marco Frasca
2009-09-09T23:59:59.000Z
We prove that exists a Lindstedt series that holds when a Hamiltonian is driven by a perturbation going to infinity. This series appears to be dual to a standard Lindstedt series as it can be obtained by interchanging the role of the perturbation and the unperturbed system. The existence of this dual series implies that a dual KAM theorem holds and, when a leading order Hamiltonian exists that is non degenerate, the effect of tori reforming can be observed with a system passing from regular motion to fully developed chaos and back to regular motion with the reappearance of invariant tori. We apply these results to a perturbed harmonic oscillator proving numerically the appearance of tori reforming. Tori reforming appears as an effect limiting chaotic behavior to a finite range of parameter space of some Hamiltonian systems. Dual KAM theorem, as proved here, applies when the perturbation, combined with a kinetic term, provides again an integrable system.
Summer Series 2012 - Conversation with Kathy Yelick
Kathy Yelick
2013-06-24T23:59:59.000Z
Jeff Miller, head of Public Affairs, sat down in conversation with Kathy Yelick, Associate Berkeley Lab Director, Computing Sciences, in the second of a series of "powerpoint-free" talks on July 18th 2012, at Berkeley Lab.
Environmental Research Group 2014 Fall Seminar Series
Environmental Research Group 2014 Fall Seminar Series October 24, 2014 Gregg 320, 12:00 1 of five hours, the city of Boston would have sustained even more damage from Hurricane Sandy than New York
Sulaiman, Noorzamzarina; Hamzah, Umar; Samsudin, Abdul Rahim [Geology Programme, School of Environmental and Natural Resource Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor (Malaysia)
2014-09-03T23:59:59.000Z
Fluvial sandstones constitute one of the major clastic petroleum reservoir types in many sedimentary basins around the world. This study is based on the analysis of high-resolution, shallow (seabed to 500 m depth) 3D seismic data which generated three-dimensional (3D) time slices that provide exceptional imaging of the geometry, dimension and temporal and spatial distribution of fluvial channels. The study area is in the northeast of Malay Basin about 280 km to the east of Terengganu offshore. The Malay Basin comprises a thick (> 8 km), rift to post-rift Oligo-Miocene to Pliocene basin-fill. The youngest (Miocene to Pliocene), post-rift succession is dominated by a thick (1–5 km), cyclic succession of coastal plain and coastal deposits, which accumulated in a humid-tropical climatic setting. This study focuses on the Pleistocene to Recent (500 m thick) succession, which comprises a range of seismic facies analysis of the two-dimensional (2D) seismic sections, mainly reflecting changes in fluvial channel style and river architecture. The succession has been divided into four seismic units (Unit S1-S4), bounded by basin-wide strata surfaces. Two types of boundaries have been identified: 1) a boundary that is defined by a regionally-extensive erosion surface at the base of a prominent incised valley (S3 and S4); 2) a sequence boundary that is defined by more weakly-incised, straight and low-sinuosity channels which is interpreted as low-stand alluvial bypass channel systems (S1 and S2). Each unit displays a predictable vertical change of the channel pattern and scale, with wide low-sinuosity channels at the base passing gradationally upwards into narrow high-sinuosity channels at the top. The wide variation in channel style and size is interpreted to be controlled mainly by the sea-level fluctuations on the widely flat Sunda land Platform.
T'Jampens, Stephane; /Orsay
2006-09-18T23:59:59.000Z
This thesis presents the full-angular time-dependent analysis of the vector-vector channel B{sub d}{sup 0} {yields} J/{psi}(K{sub S}{sup 0}{pi}{sup 0})*{sup 0}. After a review of the CP violation in the B meson system, the phenomenology of the charmonium-K*(892) channels is exposed. The method for the measurement of the transversity amplitudes of the B {yields} J/{psi}K*(892), based on a pseudo-likelihood method, is then exposed. The results from a 81.9 fb{sup -1} of collected data by the BABAR detector at the {Upsilon}(4S) resonance peak are |A{sub 0}|{sup 2} = 0.565 {+-} 0.011 {+-} 0.004, |A{sub {parallel}}|{sup 2} = 0.206 {+-} 0.016 {+-} 0.007, |A{sub {perpendicular}}|{sup 2} = 0.228 {+-} 0.016 {+-} 0.007, {delta}{sub {parallel}} = -2.766 {+-} 0.105 {+-} 0.040 and {delta}{sub {perpendicular}} = 2.935 {+-} 0.067 {+-} 0.040. Note that ({delta}{sub {parallel}}, {delta}{sub {perpendicular}}) {yields} (-{delta}{sub {parallel}}, {pi} - {delta}{sub {perpendicular}}) is also a solution. The strong phases {delta}{sub {parallel}} and {delta}{sub {perpendicular}} are at {approx}> 3{sigma} from {+-}{pi}, signing the presence of final state interactions and the breakdown of the factorization hypothesis. The forward-backward analysis of the K{pi} mass spectrum revealed the presence of a coherent S-wave interfering with the K*(892). It is the first evidence of this wave in the K{pi} system coming from a B meson. The particularity of the B{sub d}{sup 0} {yields} J/{psi}(K{sub S}{sup 0}{pi}{sup 0})*{sup 0} channel is to have a time-dependent but also an angular distribution which allows to measure sin 2{beta} but also cos2{beta}. The results from an unbinned maximum likelihood fit are sin 2{beta} = -0.10 {+-} 0.57 {+-} 0.14 and cos 2{beta} = 3.32{sub -0.96}{sup +0.76} {+-} 0.27 with the transversity amplitudes fixed to the values given above. The other solution for the strong phases flips the sign of cos 2{beta}. Theoretical considerations based on the s-quark helicity conservation favor the choice of the strong phases given above, leading to a positive sign for cos 2{beta}. The sign of cos 2{beta} is the one predicted by the Standard Model.
Physics 116A Winter 2011 The Alternating Series Test
California at Santa Cruz, University of
Physics 116A Winter 2011 The Alternating Series Test An alternating series is defined to be a series of the form: S = n=0 (-1)n an , (1) where all the an > 0. The alternating series test is a set and/or property 2 do not hold, then the alternating series test is inconclusive. Note that property 1
Physics 116A Winter 2011 The Alternating Series Test
California at Santa Cruz, University of
Physics 116A Winter 2011 The Alternating Series Test An alternating series is defined to be a series of the form: S = # # n=0 (-1) n a n , (1) where all the a n > 0. The alternating series test but property 1 and/or property 2 do not hold, then the alternating series test is inconclusive. Note
Barbose, Galen; Goldman, Charles; Bharvirkar, Ranjit; Hopper, Nicole; Ting, Michael; Neenan, Bernie
2005-01-01T23:59:59.000Z
Load Response Program – Real Time Option is a unique examplePJM Economic LRP – Real Time Option, PJM Emergency LRPPJM Economic LRP – Real Time Option PowerShare – QuoteOption
Abbasi, R.; Aguilar, J. A.; Andeen, K.; Baker, M. [Department of Physics, University of Wisconsin, Madison, WI 53706 (United States); Abdou, Y. [Department of Physics and Astronomy, University of Gent, B-9000 Gent (Belgium); Abu-Zayyad, T. [Department of Physics, University of Wisconsin, River Falls, WI 54022 (United States); Adams, J. [Department of Physics and Astronomy, University of Canterbury, Private Bag 4800, Christchurch (New Zealand); Ahlers, M. [Department of Physics, University of Oxford, 1 Keble Road, Oxford OX1 3NP (United Kingdom); Altmann, D. [III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen (Germany); Auffenberg, J.; Becker, K.-H. [Department of Physics, University of Wuppertal, D-42119 Wuppertal (Germany); Bai, X. [Bartol Research Institute and Department of Physics and Astronomy, University of Delaware, Newark, DE 19716 (United States); Barwick, S. W. [Department of Physics and Astronomy, University of California, Irvine, CA 92697 (United States); Bay, R. [Department of Physics, University of California, Berkeley, CA 94720 (United States); Bazo Alba, J. L.; Benabderrahmane, M. L. [DESY, D-15735 Zeuthen (Germany); Beattie, K. [Lawrence Berkeley National Laboratory, Berkeley, CA 94720 (United States); Beatty, J. J. [Department of Physics and Center for Cosmology and Astro-Particle Physics, Ohio State University, Columbus, OH 43210 (United States); Bechet, S. [Science Faculty CP230, Universite Libre de Bruxelles, B-1050 Brussels (Belgium); Becker, J. K. [Fakultaet fuer Physik and Astronomie, Ruhr-Universitaet Bochum, D-44780 Bochum (Germany); and others
2012-01-20T23:59:59.000Z
We present the results of a search for high-energy muon neutrinos with the IceCube detector in coincidence with the Crab Nebula flare reported on 2010 September by various experiments. Due to the unusual flaring state of the otherwise steady source we performed a prompt analysis of the 79-string configuration data to search for neutrinos that might be emitted along with the observed {gamma}-rays. We performed two different and complementary data selections of neutrino events in the time window of 10 days around the flare. One event selection is optimized for discovery of E{sup -2}{sub {nu}} neutrino spectrum typical of first-order Fermi acceleration. A similar event selection has also been applied to the 40-string data to derive the time-integrated limits to the neutrino emission from the Crab. The other event selection was optimized for discovery of neutrino spectra with softer spectral index and TeV energy cutoffs as observed for various Galactic sources in {gamma}-rays. The 90% confidence level (CL) best upper limits on the Crab flux during the 10 day flare are 4.73 Multiplication-Sign 10{sup -11} cm{sup -2} s{sup -1} TeV{sup -1} for an E{sup -2}{sub {nu}} neutrino spectrum and 2.50 Multiplication-Sign 10{sup -10} cm{sup -2} s{sup -1} TeV{sup -1} for a softer neutrino spectra of E{sup -2.7}{sub {nu}}, as indicated by Fermi measurements during the flare. In this paper, we also illustrate the impact of the time-integrated limit on the Crab neutrino steady emission. The limit obtained using 375.5 days of the 40-string configuration is compared to existing models of neutrino production from the Crab and its impact on astrophysical parameters is discussed. The most optimistic predictions of some models are already rejected by the IceCube neutrino telescope with more than 90% CL.
functions. (For recall that every power series is infinitely differen- tiable inside its disk of convergence . . . . . . . . . . . . . . . . 66 D2 The dual of a finite abelian group . . . . . . . . . . . . . . . . . . 70 D3 Fourier transforms The algebraist thinks: `Analysis is hard. Can we reduce it to algebra?' Idea Use power series. 1 Many functions f
Aubert, Bernard; Bona, M.; Karyotakis, Y.; Lees, J.P.; Poireau, V.; Prencipe, E.; Prudent, X.; Tisserand, V.; /Annecy, LAPP; Garra Tico, J.; Grauges, E.; /Barcelona U., ECM; Lopez, L.; Palano, Antimo; Pappagallo, M.; /Bari U. /INFN, Bari; Eigen, G.; Stugu, Bjarne; Sun, L.; /Bergen U.; Abrams, G.S.; Battaglia, M.; Brown, D.N.; Cahn, Robert N.; Jacobsen, R.G.; /LBL, Berkeley /Birmingham U. /Ruhr U., Bochum /Bristol U. /British Columbia U. /Brunel U. /Novosibirsk, IYF /UC, Irvine /UCLA /UC, Riverside /UC, San Diego /UC, Santa Barbara /UC, Santa Cruz /Caltech /Cincinnati U. /Colorado U. /Colorado State U. /Dortmund U. /Dresden, Tech. U. /Ecole Polytechnique /Edinburgh U. /Ferrara U. /INFN, Ferrara /Frascati /Genoa U. /INFN, Genoa /Harvard U. /Heidelberg U. /Humboldt U., Berlin /Imperial Coll., London /Iowa U. /Iowa State U. /Johns Hopkins U. /Karlsruhe U. /Orsay, LAL /LLNL, Livermore /Liverpool U. /Queen Mary, U. of London /Royal Holloway, U. of London /Louisville U. /Manchester U. /Maryland U. /Massachusetts U., Amherst /MIT /McGill U. /Consorzio Milano Ricerche /INFN, Milan /Mississippi U. /Montreal U. /Mt. Holyoke Coll. /Napoli Seconda U. /INFN, Naples /NIKHEF, Amsterdam /Notre Dame U. /Ohio State U. /Oregon U. /Padua U. /INFN, Padua /Paris U., VI-VII /Pennsylvania U. /Perugia U. /INFN, Perugia /INFN, Pisa /Princeton U. /Banca di Roma /Frascati /Rostock U. /Rutherford /DSM, DAPNIA, Saclay /South Carolina U. /SLAC /Stanford U., Phys. Dept. /SUNY, Albany /Tennessee U. /Texas U. /Texas U., Dallas /Turin U. /INFN, Turin /Trieste U. /INFN, Trieste /Valencia U., IFIC /Victoria U. /Warwick U. /Wisconsin U., Madison
2008-08-04T23:59:59.000Z
The authors present evidence of D{sup 0}-{bar D}{sup 0} mixing using a time-dependent amplitude analysis of the decay D{sup 0} {yields} K{sup +}{pi}{sup -}{pi}{sup 0} in a data sample of 384 fb{sup -1} collected with the BABAR detector at the PEP-II e{sup +}e{sup -} collider at SLAC. Assuming CP conservation, they measure the mixing parameters x{prime}{sub K{pi}{pi}{sup 0}} = [2.61{sub -0.68}{sup +0.57}(stat.) {+-} 0.39(syst.)]%, y{prime}{sub K{pi}{pi}{sup 0}} = [-0.06{sub -0.64}{sup +0.55}(stat.) {+-} 0.34(syst.)]%. The confidence level for the data to be consistent with the no-mixing hypothesis is 0.1%, including systematic uncertainties. This result is inconsistent with the no-mixing hypothesis with a significance of 3.2 standard deviations. They find no evidence of CP violation in mixing.
New Zealand Asia-Pacific energy series country report
Yamaguchi, N.D.; Keevill, H.D.
1992-03-01T23:59:59.000Z
This report on New Zealand is one of a series of country studies intended to provide a continuous, long-term source of energy sector analysis for the Asia-Pacific region. This report addresses significant changes occurring due to the reform, deregulation, and privatization of the economy in general and the energy sector in particular; provides the reader with an overview of the economic and political situation; petroleum and gas issues are highlighted, particularly the implications of foreign trade in oil and gas; provides the latest available statistics and insights to energy policy that are not generally available elsewhere.
Multichannel Quantum Defect Theory of Strontium Rydberg Series
C L Vaillant; M P A Jones; R M Potvliege
2014-02-24T23:59:59.000Z
Using the reactance matrix approach, we systematically develop new multichannel quantum defect theory models for the singlet and triplet S, P, D and F states of strontium based on improved energy level measurements. The new models reveal additional insights into the character of doubly excited perturber states, and the improved energy level measurements for certain series allow fine structure to be resolved for those series' perturbers. Comparison between the predictions of the new models and those of previous empirical and \\emph{ab initio} studies reveals good agreement with most series, however some discrepancies are highlighted. Using the multichannel quantum defect theory wave functions derived from our models we calculate other observables such as Land\\'e $g_J$-factors and radiative lifetimes. The analysis reveals the impact of perturbers on the Rydberg state properties of divalent atoms, highlighting the importance of including two-electron effects in the calculations of these properties. The work enables future investigations of properties such as Stark maps and long-range interactions of Rydberg states of strontium.
Space Radiation and Cataracts (LBNL Summer Lecture Series)
Blakely, Eleanor
2011-04-28T23:59:59.000Z
Summer Lecture Series 2009: Eleanor Blakely, radiation biologist of the Life Sciences Division at Lawrence Berkeley National Laboratory, has been a scientist at Berkeley Lab since 1975. She is studying the effect of radiation on cataracts which concerns not only cancer patients, but also astronauts. As astronauts spend increasingly longer time in space, the effects of cosmic radiation exposure will become an increasingly important health issue- yet there is little human data on these effects. Blakely reviews this emerging field and the contributions made at Berkeley Lab
National Adaptation Forum Webinar Series: Out of Town, Not Out...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Adaptation Forum Webinar Series: Out of Town, Not Out of Trouble: Small Agriculture and Indigenous Communities National Adaptation Forum Webinar Series: Out of Town, Not Out of...
Tribal Renewable Energy Webinar Series | Department of Energy
Office of Environmental Management (EM)
Resources Education and Training Tribal Renewable Energy Webinar Series Tribal Renewable Energy Webinar Series The DOE Office of Indian Energy Policy and Programs, in...
3800 Green Series Cost Elements | Department of Energy
Broader source: Energy.gov (indexed) [DOE]
(formerly EPP) Program 3800 Green Series Cost Elements 06112014 (Rev. 7) 3800 Green Series Cost Elements More Documents & Publications 1 OPAM Policy Acquisition Guides...
Building America Best Practices Series: Volume 12. EnergyRenovations...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Building America Best Practices Series: Volume 12. Energy Renovations-Insulation: A Guide for Contractors to Share With Homeowners Building America Best Practices Series: Volume...
Chassis Dynamometer Testing of Parallel and Series Diesel Hybrid...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Chassis Dynamometer Testing of Parallel and Series Diesel Hybrid Buses Chassis Dynamometer Testing of Parallel and Series Diesel Hybrid Buses Emissions and fuel economy data were...
National High Magnetic Field Laboratory - Series Connected Hybrid...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Spallation Neutron Source Series Connected Hybrid Figure 3. Vertical Section of the Series Connected Hybrid Magnet and Cryostat for the SNS. The SCH for the Spallation Neutron...
Focus Series: Maine-Residential Direct Install Program | Department...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Maine-Residential Direct Install Program Focus Series: Maine-Residential Direct Install Program Better Buildings Neighborhood Program Focus Series: MAINE-Residential Direct Install...
User's Guide Agilent Technologies 8560 E-Series and EC-Series
Ravikumar, B.
User's Guide Agilent Technologies 8560 E-Series and EC-Series Spectrum Analyzers Manufacturing Part. Refer servicing to qualified personnel. To prevent electrical shock do not remove covers. WARNING Before power cable to a socket outlet provided with protective earth contact. WARNING There are many points
Alternative Fuels Data Center: P-Series
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to someone by E-mail Share Alternative Fuels Data Center: P-Series on
Series connected OLED structure and fabrication method
Foust, Donald Franklin; Balch, Ernest Wayne; Duggal, Anil Raj; Heller, Christian Maria; Guida, Renato; Nealon, William Francis; Faircloth, Tami Janene
2006-05-23T23:59:59.000Z
A light emitting device comprises a plurality of organic light emitting diode (OLED) modules. The OLED modules are arranged into a series group where the individual OLED modules are electrically connected in series. The device is configured to be coupled to a power supply. A display is also provided. The display includes a plurality of OLED modules arranged to depict a shape selected from the group consisting of at least one letter, at least one number, at least one image, and a combination thereof.
A. Tartaglia
2002-01-04T23:59:59.000Z
The paper considers the problem of finding the metric of space time around a rotating, weakly gravitating body. Both external and internal metric tensors are consistently found, together with an appropriate source tensor. All tensors are calculated at the lowest meaningful approximation in a power series. The two physical parameters entering the equations (the mass and the angular momentum per unit mass) are assumed to be such that the mass effects are negligible with respect to the rotation effects. A non zero Riemann tensor is obtained. The order of magnitude of the effects at the laboratory scale is such as to allow for experimental verification of the theory.
Solar Instructor Series A PROJECT BY
9. NEC Â® 2011 Code Updates PV 10. Integra ng Solar into Exis ng Curricula 11. How to Land YourSolar Instructor Series A PROJECT BY: FUNDING PROVIDED BY: The NC Solar Center at NC State University is the Southern Mid Atlan c Provider of Solar Instructor Training (SMAPSIT) a Train
2014-2015Series College of Agriculture,
MacAdam, Keith
2014-2015Series College of Agriculture, Food and Environment University of Kentucky is accredited of University of Kentucky. Agricultural Economics The Agricultural Economics program enables graduates to pursue and production. Opportunities are also available in public policy for agriculture and rural America
2012-2013 Series College of Agriculture
Hayes, Jane E.
2012-2013 Series College of Agriculture and School of Human Environmental Sciences University about the accreditation of University of Kentucky. AgriculturalEconomics The Agricultural Economics for agriculture and rural America and environmental economics. These career opportunities may be found in both
Distinguished Lecturer Series Understanding Climate Change
California at Davis, University of
Distinguished Lecturer Series Understanding Climate Change: Opportunities and Challenges for Data A Climate change is the defining environmental challenge facing our planet, yet there is considerable.Anew and transformative approach is required to understand the potential impact of climate change. Data driven approaches
ELKHORN SLOUGH TECHNICAL REPORT SERIES 2009: 1
California at Santa Cruz, University of
Research Reserve and the Elkhorn Slough Foundation Synthesis for Management of Eutrophication Issues in Elkhorn Slough Brent Hughes April 2009 (Updated March 2010) #12;Eutrophication in Elkhorn Slough 2 B of eutrophication issues in Elkhorn Slough. Elkhorn Slough Technical Report Series 2009:1. AUTHOR AFFLIATION
High Noon Lecture Series 2012 Fall Schedule
signed the Affordable Care Act into law. Some health insurance reforms have already taken place at how important arenas of constitutional law, from health care reform to abortion to affirmative actionHigh Noon Lecture Series 2012 Fall Schedule September 19 "Deciphering the Affordable Care Act" Glen
Denman Forestry Issues Series presents: "Seeking Sustainability"
Borenstein, Elhanan
and Introduction - Dr. B. Bruce Bare, Dean, College of Forest Resources 10:20 - 10:45 Sustainability in the FaceDenman Forestry Issues Series presents: "Seeking Sustainability" Monday, November 18, 2002, 10AM how to manage natural resources in a sustainable way. The question of sustainability is a complex one
Frontiers in Chemical Imaging Seminar Series
the positions of Professor in the Dept. of Materials Science and Engineering, University of TennesseeFrontiers in Chemical Imaging Seminar Series Presented by Dr. Stephen J Pennycook, Ph.D. Materials properties. Finally, the direct imaging and identification of point defect configurations in monolayer BN