Time Series Analysis 1 Time series in astronomy
Babu, G. Jogesh
(supernovae, gamma-ray bursts) Difficulties in astronomical time series Gapped data streams: Diurnal & monthly phenomena: thermonuclear (novae, X-ray bursts), magnetic reconnection (solar/stellar flares), star death); pulsation (helioseismology, Cepheids) Stochastic phenomena: accretion (CVs, X-ray binaries, Seyfert gals
Integrated method for chaotic time series analysis
Hively, L.M.; Ng, E.G.
1998-09-29
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)
1998-01-01
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.
Nonlinear time-series analysis revisited
Elizabeth Bradley; Holger Kantz
2015-03-25
In 1980 and 1981, two pioneering papers laid the foundation for what became known as nonlinear time-series analysis: the analysis of observed data---typically univariate---via dynamical systems theory. Based on the concept of state-space reconstruction, this set of methods allows us to compute characteristic quantities such as Lyapunov exponents and fractal dimensions, to predict the future course of the time series, and even to reconstruct the equations of motion in some cases. In practice, however, there are a number of issues that restrict the power of this approach: whether the signal accurately and thoroughly samples the dynamics, for instance, and whether it contains noise. Moreover, the numerical algorithms that we use to instantiate these ideas are not perfect; they involve approximations, scale parameters, and finite-precision arithmetic, among other things. Even so, nonlinear time-series analysis has been used to great advantage on thousands of real and synthetic data sets from a wide variety of systems ranging from roulette wheels to lasers to the human heart. Even in cases where the data do not meet the mathematical or algorithmic requirements to assure full topological conjugacy, the results of nonlinear time-series analysis can be helpful in understanding, characterizing, and predicting dynamical systems.
NONLINEAR MULTIVARIATE AND TIME SERIES ANALYSIS BY NEURAL NETWORK METHODS
Hsieh, William
NONLINEAR MULTIVARIATE AND TIME SERIES ANALYSIS BY NEURAL NETWORK METHODS William W. Hsieh] Methods in multivariate statistical analysis are essential for working with large amounts of geophysical multivariate statistical analysis, there is a hierarchy of methods, starting with linear regression at the base
Symbolic Dynamic Analysis of Transient Time Series for Fault
Ray, Asok
Symbolic Dynamic Analysis of Transient Time Series for Fault Detection in Gas Turbine Engines paper presents a symbolic dynamics-based method for detection of incipient faults in gas turbine engines dynamics, fault detection, aircraft gas turbine engines 1 Introduction Performance monitoring of aircraft
EMCS and time-series energy data analysis in a large government office building
Piette, Mary Ann; Kinney, Satkartar; Friedman, Hannah
2001-01-01
th EMCS and Time-Series Energy Data Analysis in a LargeEMCS and Time-Series Energy Data Analysis in a Largeyears of utility bill energy data to evaluate whole-building
Time series power flow analysis for distribution connected PV generation.
Broderick, Robert Joseph; Quiroz, Jimmy Edward; Ellis, Abraham; Reno, Matthew J.; Smith, Jeff; Dugan, Roger
2013-01-01
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 ...
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
Generalized Volterra-Wiener and surrogate data methods for complex time series analysis
Shashidhar, Akhil
2006-01-01
This thesis describes the current state-of-the-art in nonlinear time series analysis, bringing together approaches from a broad range of disciplines including the non-linear dynamical systems, nonlinear modeling theory, ...
Engine Control Improvement through Application of Chaotic Time Series Analysis
Green, J.B., Jr.; Daw, C.S.
2003-07-15
The objective of this program was to investigate cyclic variations in spark-ignition (SI) engines under lean fueling conditions and to develop options to reduce emissions of nitrogen oxides (NOx) and particulate matter (PM) in compression-ignition direct-injection (CIDI) engines at high exhaust gas recirculation (EGR) rates. The CIDI activity builds upon an earlier collaboration between ORNL and Ford examining combustion instabilities in SI engines. Under the original CRADA, the principal objective was to understand the fundamental causes of combustion instability in spark-ignition engines operating with lean fueling. The results of this earlier activity demonstrated that such combustion instabilities are dominated by the effects of residual gas remaining in each cylinder from one cycle to the next. A very simple, low-order model was developed that explained the observed combustion instability as a noisy nonlinear dynamical process. The model concept lead to development of a real-time control strategy that could be employed to significantly reduce cyclic variations in real engines using existing sensors and engine control systems. This collaboration led to the issuance of a joint patent for spark-ignition engine control. After a few years, the CRADA was modified to focus more on EGR and CIDI engines. The modified CRADA examined relationships between EGR, combustion, and emissions in CIDI engines. Information from CIDI engine experiments, data analysis, and modeling were employed to identify and characterize new combustion regimes where it is possible to simultaneously achieve significant reductions in NOx and PM emissions. These results were also used to develop an on-line combustion diagnostic (virtual sensor) to make cycle-resolved combustion quality assessments for active feedback control. Extensive experiments on engines at Ford and ORNL led to the development of the virtual sensor concept that may be able to detect simultaneous reductions in NOx and PM emissions under low temperature combustion (LTC) regimes. An invention disclosure was submitted to ORNL for the virtual sensor under the CRADA. Industrial in-kind support was available throughout the project period. Review of the research results were carried out on a regular basis (annual reports and meetings) followed by suggestions for improvement in ongoing work and direction for future work. A significant portion of the industrial support was in the form of experimentation, data analysis, data exchange, and technical consultation.
Time Series Analysis of Aviation Dr. Richard Xie
is free R is a language, not just a statistical tool R makes graphics and visualization of the best, Mathematica, Maple SAS, SPSS, STATA, R ROOT, PAW, KNIME, Data Applied, etc. Others #12;Use R! R quality A flexible statistical analysis toolkit Access to powerful, cutting-edge analytics A robust
Topic Time Series Analysis of Microblogs ellai@uci.edu
Bertozzi, Andrea L.
-worthy phenomena. However, transforming raw, free-form, real time text into meaningful in- formation remains spatially, temporally or both might be of interest to analysts, marketers, researchers, law enforcement of microblog topics, where edges represent the predictive power of one topic for another. Recovery
Detrended partial cross-correlation analysis of two time series influenced by common external forces
Qian, Xi-Yuan; Jiang, Zhi-Qiang; Podobnik, Boris; Zhou, Wei-Xing; Stanley, H Eugene
2015-01-01
We propose a new method, detrended partial cross-correlation analysis (DPXA), to uncover the intrinsic power-law cross-correlations between two simultaneously recorded time series in the presence of nonstationarity after removing the effects of other time series acting as common forces. The DPXA method is a generalization of the detrended cross-correlation analysis by taking into account the partial correlation analysis. We illustrate the performance of the method using bivariate fractional Brownian motions and multifractal binomial measures with analytical expressions and apply it to extract the intrinsic cross-correlation between crude oil and gold futures by considering the impact of the US dollar index.
Anomaly detection in thermal pulse combustors using symbolic time series analysis
Ray, Asok
pulse combustor. Results are presented to exemplify early detection of combustion instability due339 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
Nonlinear analysis of time series of vibration data from a friction brake: SSA, PCA, and MFDFA
Nikolay K. Vitanov; Norbert P. Hoffmann; Boris Wernitz
2014-10-23
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.
Donges, Jonathan F; Beronov, Boyan; Wiedermann, Marc; Runge, Jakob; Feng, Qing Yi; Tupikina, Liubov; Stolbova, Veronika; Donner, Reik V; Marwan, Norbert; Dijkstra, Henk A; Kurths, Jrgen
2015-01-01
We introduce the pyunicorn (Pythonic unified complex network and recurrence analysis toolbox) open source software package for applying and combining modern methods of data analysis and modeling from complex network theory and nonlinear time series analysis. pyunicorn is a fully object-oriented and easily parallelizable package written in the language Python. It allows for the construction of functional networks such as climate networks in climatology or functional brain networks in neuroscience representing the structure of statistical interrelationships in large data sets of time series and, subsequently, investigating this structure using advanced methods of complex network theory such as measures and models for spatial networks, networks of interacting networks, node-weighted statistics or network surrogates. Additionally, pyunicorn provides insights into the nonlinear dynamics of complex systems as recorded in uni- and multivariate time series from a non-traditional perspective by means of recurrence qua...
The application of complex network time series analysis in turbulent heated jets
Charakopoulos, A. K.; Karakasidis, T. E. Liakopoulos, A.; Papanicolaou, P. N.
2014-06-15
In the present study, we applied the methodology of the complex network-based time series analysis to experimental temperature time series from a vertical turbulent heated jet. More specifically, we approach the hydrodynamic problem of discriminating time series corresponding to various regions relative to the jet axis, i.e., time series corresponding to regions that are close to the jet axis from time series originating at regions with a different dynamical regime based on the constructed network properties. Applying the transformation phase space method (k nearest neighbors) and also the visibility algorithm, we transformed time series into networks and evaluated the topological properties of the networks such as degree distribution, average path length, diameter, modularity, and clustering coefficient. The results show that the complex network approach allows distinguishing, identifying, and exploring in detail various dynamical regions of the jet flow, and associate it to the corresponding physical behavior. In addition, in order to reject the hypothesis that the studied networks originate from a stochastic process, we generated random network and we compared their statistical properties with that originating from the experimental data. As far as the efficiency of the two methods for network construction is concerned, we conclude that both methodologies lead to network properties that present almost the same qualitative behavior and allow us to reveal the underlying system dynamics.
Railway Subsidence Monitoring by High Resolution INSAR Time Series Analysis in Tianjin
Perissin, Daniele
Railway Subsidence Monitoring by High Resolution INSAR Time Series Analysis in Tianjin Qingli Luo1 and the development of urban are seriously affected by the subsidence of them. Permanent Scatterers (PS) technology was developed as a powerful tool for subsidence monitoring. High resolution of 1m data can be provided by Terra
Time Series Analysis with R A. Ian McLeod, Hao Yu, Esam Mahdi
McLeod, Ian
it is built on a solid foundation of core statistical and numerical algorithms. The R programming languageTime Series Analysis with R A. Ian McLeod, Hao Yu, Esam Mahdi Department of Statistical out some other key features of this quantitative programming environment (QPE). R is an open source
Denoising Deterministic Time Series
Steven P. Lalley; Andrew B. Nobel
2006-04-21
This paper is concerned with the problem of recovering a finite, deterministic time series from observations that are corrupted by additive, independent noise. A distinctive feature of this problem is that the available data exhibit long-range dependence and, as a consequence, existing statistical theory and methods are not readily applicable. This paper gives an analysis of the denoising problem that extends recent work of Lalley, but begins from first principles. Both positive and negative results are established. The positive results show that denoising is possible under somewhat restrictive conditions on the additive noise. The negative results show that, under more general conditions on the noise, no procedure can recover the underlying deterministic series.
Time series analysis of ionization waves in dc neon glow discharge
Hassouba, M. A.; Al-Naggar, H. I.; Al-Naggar, N. M.; Wilke, C. [Department of Physics, Faculty of Science, Benha University (Egypt); Institute of Physics, E. M. A. University, Domstrasse 10a, 17489 Greifswald (Germany)
2006-07-15
The dynamics of dc neon glow discharge is examined by calculating a Lyapunov exponent spectrum (LES) and correlation dimension (D{sub corr}) from experimental time series. The embedding theory is used to reconstruct an attractor with the delay coordinate method. The analysis refers to periodic, chaotic, and quasi-periodic attractors. The results obtained are confirmed by a comparison with other methods of time series analysis such as the Fourier power spectrum and autocorrelation function. The main object of the present work is the positive column of a dc neon glow discharge. The positive column is an excellent model for the study of a non-linearity plasma system because it is nonisothermal plasma far from equilibrium.
Masci, Frank
The Fourier Transform The Fourier transform is crucial to any discussion of time series analysis: Fourier Series Fourier Transform Example and Interpretation Oddness and Evenness The Convolution Theorem Discrete Fourier Transforms Definitions Example Implementation Author Fourier Series Recall the Fourier
Interpretation of engine cycle-to-cycle variation by chaotic time series analysis
Daw, C.S.; Kahl, W.K.
1990-01-01
In this paper we summarize preliminary results from applying a new mathematical technique -- chaotic time series analysis (CTSA) -- to cylinder pressure data from a spark-ignition (SI) four-stroke engine fueled with both methanol and iso-octane. Our objective is to look for the presence of deterministic chaos'' dynamics in peak pressure variations and to investigate the potential usefulness of CTSA as a diagnostic tool. Our results suggest that sequential peak cylinder pressures exhibit some characteristic features of deterministic chaos and that CTSA can extract previously unrecognized information from such data. 18 refs., 11 figs., 2 tabs.
Multifractal analysis of stress time series during ultrathin lubricant film melting
A. V. Khomenko; I. A. Lyashenko; V. N. Borisyuk
2010-07-20
Melting of an ultrathin lubricant film confined between two atomically flat surfaces is we studied using the rheological model for viscoelastic matter approximation. Phase diagram with domains, corresponding to sliding, dry, and two types of $stick-slip$ friction regimes has been built taking into account additive noises of stress, strain, and temperature of the lubricant. The stress time series have been obtained for all regimes of friction using the Stratonovich interpretation. It has been shown that self-similar regime of lubricant melting is observed when intensity of temperature noise is much larger than intensities of strain and stress noises. This regime is defined by homogenous distribution, at which characteristic stress scale is absent. We study stress time series obtained for all friction regimes using multifractal detrended fluctuation analysis. It has been shown that multifractality of these series is caused by different correlations that are present in the system and also by a power-law distribution. Since the power-law distribution is related to small stresses, this case corresponds to self-similar solid-like lubricant.
Time-varying Spectral Analysis in Neurophysiological Time Series Using Hilbert
Whitcher, Brandon
ability to detect time-varying coherence and phase properties. Key words: Coherence, electromyographic
Siracusa, Michael Richard, 1980-
2009-01-01
In this dissertation we investigate the problem of reasoning over evolving structures which describe the dependence among multiple, possibly vector-valued, time-series. Such problems arise naturally in variety of settings. ...
A Time Series Analysis of Microarray Data Selnur Erdal1,2
Ferhatosmanoglu, Hakan
by algorithms that can extract and cluster related behaviors from the full population of time-series behaviors observed. Although traditional clus- tering techniques have shown to be effective for certain types
Analysis of MODIS 250 m NDVI Using Different Time-Series Data for Crop Type Separability
Lee, Eunmok
2014-08-31
The primary objectives of this research were to: (1) investigate the use of different compositing periods of NDVI values of time-series MODIS 250 m data for distinguishing major crop types on the central Great Plains of ...
Experimental nonlinear dynamical studies in cesium magneto-optical trap using time-series analysis
Anwar, M. Islam, R.; Faisal, M.; Sikandar, M.; Ahmed, M.
2015-03-30
A magneto-optical trap of neutral atoms is essentially a dissipative quantum system. The fast thermal atoms continuously dissipate their energy to the environment via spontaneous emissions during the cooling. The atoms are, therefore, strongly coupled with the vacuum reservoir and the laser field. The vacuum fluctuations as well as the field fluctuations are imparted to the atoms as random photon recoils. Consequently, the external and internal dynamics of atoms becomes stochastic. In this paper, we have investigated the stochastic dynamics of the atoms in a magneto-optical trap during the loading process. The time series analysis of the fluorescence signal shows that the dynamics of the atoms evolves, like all dissipative systems, from deterministic to the chaotic regime. The subsequent disappearance and revival of chaos was attributed to chaos synchronization between spatially different atoms in the magneto-optical trap.
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)
2014-05-28
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.
Perpinan, O.; Lorenzo, E.
2011-01-15
The irradiance fluctuations and the subsequent variability of the power output of a PV system are analysed with some mathematical tools based on the wavelet transform. It can be shown that the irradiance and power time series are nonstationary process whose behaviour resembles that of a long memory process. Besides, the long memory spectral exponent {alpha} is a useful indicator of the fluctuation level of a irradiance time series. On the other side, a time series of global irradiance on the horizontal plane can be simulated by means of the wavestrapping technique on the clearness index and the fluctuation behaviour of this simulated time series correctly resembles the original series. Moreover, a time series of global irradiance on the inclined plane can be simulated with the wavestrapping procedure applied over a signal previously detrended by a partial reconstruction with a wavelet multiresolution analysis, and, once again, the fluctuation behaviour of this simulated time series is correct. This procedure is a suitable tool for the simulation of irradiance incident over a group of distant PV plants. Finally, a wavelet variance analysis and the long memory spectral exponent show that a PV plant behaves as a low-pass filter. (author)
Andresen, Gorm Bruun; Greiner, Martin
2014-01-01
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...
EOF analysis of a time series with application to tsunami detection
Tolkova, Elena
-space basis can be derived via Empirical Orthogonal Function (EOF) analysis of a tidal record of a single buoy. Decomposition of a tsunami buoy record in a functional space of tidal EOFs presents an efficient tool and quantification (Tolkova, E. 2009. Principal Component Analysis of Tsunami Buoy Record: Tide Prediction
Caldwell, J.S.; Bahnfleth, W.P.
1998-12-31
Several one-dimensional models of mixing in stratified chilled-water thermal energy storage tanks have been proposed. In the simplest models, mixing is assumed to be uniform throughout the tank. Other models permit spatial variation of mixing intensity. Published models were developed by adjusting model parameters to achieve qualitative agreement with measured profiles. The literature does not describe quantitative criteria for evaluating the performance of mixing models. This paper describes a method that can be used to determine the relative spatial distribution of mixing effects directly from experimental data. It also illustrates a method for quantitative comparison of experimental and modeled temperature profiles. The mixing calculation procedure may be applied to instantaneous spatial temperature data if temperature sensor spacing is sufficiently small. When sensors are widely spaced, time series data taken at individual sensors provide better accuracy. A criterion for maximum sensor spacing is proposed. The application of these procedures to time series charge-cycle operating data from a full-scale chilled-water thermal storage system serving a large medical center is described. Results of this analysis indicate that mixing is localized near the inlet diffuser and that one-dimensional flow with streamwise conduction predominates in most of the tank.
Time series analysis of the lead-lag relationship of freight futures and spot market prices
Gavriilidis, Nikolaos
2008-01-01
This thesis analyzes the relationship between the physical and paper shipping markets. The main objective is to find if one market leads the other by a specific time period so that market players can take advantage from ...
EXTREME VALUE ANALYSIS FOR CLIMATE TIME SERIES Institute for Mathematics Applied to Geosciences
Katz, Richard
Extremes (3) Temporal Dependence / Scaling of Climate Extremes (4) Interpretation of Tail Behavior of floods: Design of dams Flood plain regulation ("100-year flood") #12;6 Non-Stationarity -- Sources extremes) Sub-divide (e. g., separate analysis by month) #12;7 (2) Statistics of Climate Extremes Tail
Analysis of Geophysical Time Series Using Discrete Wavelet Transforms: An Overview
Percival, Don
are illustrated through examples involving Arctic sea ice and an Antarctic ice core. A second version of the DWT and weaknesses of the MODWT, the ODWT and the continuous wavelet transform are discussed. 1 Introduction The wide-spread [1, 2] in the early 1980s. Their efforts were motivated by signal analysis in oil and gas exploration
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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With U.S.Week DayDr.Theories (Journal Article)Clean4, 9/26/14),Time
Singular Spectrum Analysis for astronomical time series: constructing a parsimonious hypothesis test
Greco, G; Kobayashi, S; Ghil, M; Branchesi, M; Guidorzi, C; Stratta, G; Ciszak, M; Marino, F; Ortolan, A
2015-01-01
We present a data-adaptive spectral method - Monte Carlo Singular Spectrum Analysis (MC-SSA) - and its modification to tackle astrophysical problems. Through numerical simulations we show the ability of the MC-SSA in dealing with $1/f^{\\beta}$ power-law noise affected by photon counting statistics. Such noise process is simulated by a first-order autoregressive, AR(1) process corrupted by intrinsic Poisson noise. In doing so, we statistically estimate a basic stochastic variation of the source and the corresponding fluctuations due to the quantum nature of light. In addition, MC-SSA test retains its effectiveness even when a significant percentage of the signal falls below a certain level of detection, e.g., caused by the instrument sensitivity. The parsimonious approach presented here may be broadly applied, from the search for extrasolar planets to the extraction of low-intensity coherent phenomena probably hidden in high energy transients.
Regression quantiles for time series
Cai, Zongwu
2002-02-01
~see, e+g+, Ibragimov and Linnik, 1971, p+ 316!+ Namely, partition REGRESSION QUANTILES FOR TIME SERIES 187 $1, + + + , n% into 2qn 1 1 subsets with large block of size r 5 rn and small block of size s 5 sn+ Set q 5 qn 5 ? n rn 1 sn? , (A.7) where {x...! are the standard LindebergFeller conditions for asymptotic normality of Qn,1 for the independent setup+ Let us first establish ~A+8!+ To this effect, we define the large-block size rn by rn 5 {~nhn!102} and the small-block size sn 5 {~nhn!1020log n}+ Then, as n r...
Detection Methods for Astronomical Time Series
Coehlo, Nathan Kirk
2010-01-01
Time Series by Nathan Kirk Coehlo A dissertation submittedCopyright 2010 by Nathan Kirk Coehlo Abstract DetectionTime Series by Nathan Kirk Coehlo Doctor of Philosophy in
Random Matrix Spectra as a Time Series
Ruben Fossion; Gamaliel Torres Vargas; Juan Carlos Lpez Vieyra
2013-11-23
Spectra of ordered eigenvalues of finite Random Matrices are interpreted as a time series. Dataadaptive techniques from signal analysis are applied to decompose the spectrum in clearly differentiated trend and fluctuation modes, avoiding possible artifacts introduced by standard unfolding techniques. The fluctuation modes are scale invariant and follow different power laws for Poisson and Gaussian ensembles, which already during the unfolding allows to distinguish the two cases.
Normalizing the causality between time series
Liang, X San
2015-01-01
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 ...
Statistical criteria for characterizing irradiance time series.
Stein, Joshua S.; Ellis, Abraham; Hansen, Clifford W.
2010-10-01
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.
Multivariate Time Series Forecasting in Incomplete Environments
Roberts, Stephen
Multivariate Time Series Forecasting in Incomplete Environments Technical Report PARG 08-03 Seung of Oxford December 2008 #12;Seung Min Lee and Stephen J. Roberts Technical Report PARG 08-03 Multivariate missing observations and forecasting future values in incomplete multivariate time series data. We study
Martin, Luis; Marchante, Ruth; Cony, Marco; Zarzalejo, Luis F.; Polo, Jesus; Navarro, Ana
2010-10-15
Due to strong increase of solar power generation, the predictions of incoming solar energy are acquiring more importance. Photovoltaic and solar thermal are the main sources of electricity generation from solar energy. In the case of solar thermal energy plants with storage energy system, its management and operation need reliable predictions of solar irradiance with the same temporal resolution as the temporal capacity of the back-up system. These plants can work like a conventional power plant and compete in the energy stock market avoiding intermittence in electricity production. This work presents a comparisons of statistical models based on time series applied to predict half daily values of global solar irradiance with a temporal horizon of 3 days. Half daily values consist of accumulated hourly global solar irradiance from solar raise to solar noon and from noon until dawn for each day. The dataset of ground solar radiation used belongs to stations of Spanish National Weather Service (AEMet). The models tested are autoregressive, neural networks and fuzzy logic models. Due to the fact that half daily solar irradiance time series is non-stationary, it has been necessary to transform it to two new stationary variables (clearness index and lost component) which are used as input of the predictive models. Improvement in terms of RMSD of the models essayed is compared against the model based on persistence. The validation process shows that all models essayed improve persistence. The best approach to forecast half daily values of solar irradiance is neural network models with lost component as input, except Lerida station where models based on clearness index have less uncertainty because this magnitude has a linear behaviour and it is easier to simulate by models. (author)
Times Series Study of Effects of Petroleum Production on GDP
Ballinger, Leslie 1991-
2012-05-02
development. The countries studied include: Argentina, Canada, Colombia, the United States, Mexico, Venezuela, Peru, and Indonesia. The dates of analysis are different for every country due to data reliability. This paper focuses mainly on a time series...
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 Lalo1 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
are derived from the analysis of intra-day (hourly) load records from local substations of the Belgian high by a multi-equation system with autocorrelated resid- uals. Satisfactory results are obtained for a large analysis of the electric load is cur- rently a key research area [1, 2] with important impli- cations
Segmenting Time Series for Weather Forecasting
Reiter, Ehud
summarisation. We found three alternative ways in which we could model data summarisation. One approach is based turbines. In the domain of meteorology, time series data produced by numerical weather prediction (NWP) models is summarised as weather forecast texts. In the domain of gas turbines, sensor data from
Kirchner, James W.
Measuring catchment-scale chemical retardation using spectral analysis of reactive and passive for Ecology and Hydrology, McLean Building, Wallingford, Oxon OX10 8BB, UK Received 28 August 2002; revised 14, carrying soluble substances with it. Some chemical constituents are non- reactive; these act as passive
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 networks, Neural networks, Modeling, Forecasting, Energy demand, Time series forecasting, Power system demand time series based only on data for six years to forecast the demand for the seventh year. Both
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
Exact Primitives for Time Series Data Mining
Mueen, Abdullah Al
2012-01-01
G. Silva, and Rui M. M. Brito. Mining approximate motifs intime series. In Data Mining, 2001. ICDM 2001, Proceedingson Knowledge discovery and data mining, KDD, pages 947956,
Nonlinear chaos in temperature time series: Part I: Case studies
Yaron Rosenstein; Gal Zahavi
2012-11-27
In this work we present 3 case studies of local temperature time series obtained from stations in Europe and Israel. The nonlinear nature of the series is presented along with model based forecasting. Data is nonlinearly filtered using high dimensional projection and analysis is performed on the filtered data. A lorenz type model of 3 first order ODEs is then fitted. Forecasts are shown for periods of 100 days ahead, outperforming any existing forecast method known today. While other models fail at forecasting periods above 11 days, ours shows remarkable stability 100 days ahead. Thus finally a local dynamical system if found for local temperature forecasting not requiring solution of Navier-Stokes equations. Thus saving computational costs.
Mining Time Series Data: Flying Insect Classification and Detection
Chen, Yanping
2015-01-01
Application of Data Mining. KDD'11: 761-764, 2011. G.Wang, E. J. Keogh. Querying and mining of time series data.Mining
On the long-term correlations and multifractal properties of electric arc furnace time series
Livi, Lorenzo; Rizzi, Antonello; Sadeghian, Alireza
2015-01-01
In this paper, we study long-term correlations and multifractal properties elaborated from time series of three-phase current signals coming from an industrial electric arc furnace plant. Implicit sinusoidal trends are suitably detected in the scaling of the fluctuation function of such time series. Time series are then initially filtered via a Fourier based analysis, removing hence such strong periodicities. In the filtered time series we detected long-term, positive correlations. The presence of persistent correlations is in agreement with the typical V--I characteristic (hysteresis) of the electric arc furnace, justifying thus the memory effects found in the current time series. The multifractal signature is strong enough in the filtered time series to be effectively classified as multifractal.
Harmonic oscillator: an analysis via Fourier series
A. S. de Castro
2013-09-30
The Fourier series method is used to solve the homogeneous equation governing the motion of the harmonic oscillator. It is shown that the general solution to the problem can be found in a surprisingly simple way for the case of the simple harmonic oscillator. It is also shown that the damped harmonic oscillator is susceptible to the analysis.
Time Series Photometry Data: Standard Access, Standard Formats
Holl, Andrs
Time Series Photometry Data: Standard Access, Standard Formats Andr#19; as Holl Konkoly Observatory a discussion on data access and #12;le format aspects of photometry. Introduction Presently there is time series photometry data available in public databases, but the access to these varies from one collection
Efficient Mining of Partial Periodic Patterns in Time Series Database
Dong, Guozhu
Efficient Mining of Partial Periodic Patterns in Time Series Database In ICDE 99 Jiawei Han \\Lambda peri odic patterns in timeseries databases, is an interesting data mining problem. Previous studies several algorithms for efficient mining of par tial periodic patterns, by exploring some interesting
A Multivariate Approach to Estimate Complexity of FMRI Time Series
A Multivariate Approach to Estimate Complexity of FMRI Time Series Henry Sch¨utze1,2 , Thomas (MPSE), a multivariate entropy ap- proach that estimates spatio-temporal complexity of fMRI time series. In a temporally sliding window, MPSE measures the differential entropy of an assumed multivariate Gaussian density
Knstler, A; Strassmeier, K G
2015-01-01
Solar spots appear to decay linearly proportional to their size. The decay rate of solar spots is directly related to magnetic diffusivity, which itself is a key quantity for the length of a magnetic-activity cycle. Is a linear spot decay also seen on other stars, and is this in agreement with the large range of solar and stellar activity cycle lengths? We investigate the evolution of starspots on the rapidly-rotating ($P_{\\rm rot}$ $\\approx$ 24 d) K0 giant XX Tri, using consecutive time-series Doppler images. Our aim is to obtain a well-sampled movie of the stellar surface over many years, and thereby detect and quantify a starspot decay law for further comparison with the Sun. We obtained continuous high-resolution and phase-resolved spectroscopy with the 1.2-m robotic STELLA telescope on Tenerife over six years. For each observing season, we obtained between 5 to 7 independent Doppler images, one per stellar rotation, making up a total of 36 maps. To quantify starspot area decay and growth, we match the ob...
Multiple Time Series 7.1 Introduction
Penny, Will
, W.D. Penny, April 2000. 7.2.1 Crosscorrelation is asymmetric First, we recap as to why the auto, W.D. Penny, April 2000. 89 (a) 0 20 40 60 80 100 -2 -1 0 1 2 3 4 Figure 7.1: Signals x t (top) and y this should occur ? #12; 90 Signal Processing Course, W.D. Penny, April 2000. 7.2.3 TimeDelay Estimation
Modeling Time Series of Real Systems using Genetic Programming
Dilip P. Ahalpara; Jitendra C. Parikh
2006-07-14
Analytic models of two computer generated time series (Logistic map and Rossler system) and two real time series (ion saturation current in Aditya Tokamak plasma and NASDAQ composite index) are constructed using Genetic Programming (GP) framework. In each case, the optimal map that results from fitting part of the data set also provides a very good description of rest of the data. Predictions made using the map iteratively range from being very good to fair.
First time-series optical photometry from Antarctica
K. G. Strassmeier; R. Briguglio; T. Granzer; G. Tosti; I. DiVarano; I. Savanov; M. Bagaglia; S. Castellini; A. Mancini; G. Nucciarelli; O. Straniero; E. Distefano; S. Messina; G. Cutispoto
2008-07-18
Beating the Earth's day-night cycle is mandatory for long and continuous time-series photometry and had been achieved with either large ground-based networks of observatories at different geographic longitudes or when conducted from space. A third possibility is offered by a polar location with astronomically-qualified site characteristics. Aims. In this paper, we present the first scientific stellar time-series optical photometry from Dome C in Antarctica and analyze approximately 13,000 CCD frames taken in July 2007. We conclude that high-precision CCD photometry with exceptional time coverage and cadence can be obtained at Dome C in Antarctica and be successfully used for time-series astrophysics.
Resampling Methodology in Spatial Prediction and Repeated Measures Time Series
Rister, Krista Dianne
2012-02-14
of an SEM image. . . . . . . . . . . . . . . . . . . . . . . . 56 10 Framework of time time series representation of SEM image. . . . . . 57 11 Approximate values of f(L; ?, ?) for L = 200 for varying values of ?. 63 12 Bootstrap variance estimates... Cor- rected Predictor . . . . . . . . . . . . . . . . . . . . . 20 3. Bias of Predictors . . . . . . . . . . . . . . . . . . . . 21 F. Simulations . . . . . . . . . . . . . . . . . . . . . . . . . . 26 1. Framework...
Feature-preserving interpolation and filtering of environmental time series
Mariethoz, Gregoire; Jougnot, Damien; Rezaee, Hassan
2015-01-01
We propose a method for filling gaps and removing interferences in time series for applications involving continuous monitoring of environmental variables. The approach is non-parametric and based on an iterative pattern-matching between the affected and the valid parts of the time series. It considers several variables jointly in the pattern matching process and allows preserving linear or non-linear dependences between variables. The uncertainty in the reconstructed time series is quantified through multiple realizations. The method is tested on self-potential data that are affected by strong interferences as well as data gaps, and the results show that our approach allows reproducing the spectral features of the original signal. Even in the presence of intense signal perturbations, it significantly improves the signal and corrects bias introduced by asymmetrical interferences. Potential applications are wide-ranging, including geophysics, meteorology and hydrology.
Spectral Analysis of Spatial Series + W.R. Tobler*
Tobler, Waldo
series. There are many examples: stock market prices, weather records, population of a city over a number, if there are such interpretations, why has this method of analysis not already been applied to spatial series? Taking the first
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
Chaotic time series prediction using artificial neural networks
Bartlett, E.B.
1991-12-31
This paper describes the use of artificial neural networks to model the complex oscillations defined by a chaotic Verhuist animal population dynamic. A predictive artificial neural network model is developed and tested, and results of computer simulations are given. These results show that the artificial neural network model predicts the chaotic time series with various initial conditions, growth parameters, or noise.
Chaotic time series prediction using artificial neural networks
Bartlett, E.B.
1991-01-01
This paper describes the use of artificial neural networks to model the complex oscillations defined by a chaotic Verhuist animal population dynamic. A predictive artificial neural network model is developed and tested, and results of computer simulations are given. These results show that the artificial neural network model predicts the chaotic time series with various initial conditions, growth parameters, or noise.
Pzsit, Imre
.M.R., 1974, Random Processes in Nuclear Reactors, Pergamon Press, Oxford #12; 35 Ku, C.C., Lee K.Y., and Edwards R.M., 1991, Neural network for adapting nuclear power plant control for widerange operation, Noise Analysis Method for Monitoring the Moderator Temperature Coefficient of Pressurized Water Reactors
Kriegel, Hans-Peter
, evolution of stock charts, research on medical behavior of organisms, or analysis and detec- tion of motion of environmental data. 1 Introduction In a large range of application domains, e.g. environmental analysis series. Overall, TiP serves as a framework to effectively and efficiently manage dual- domain time series
Discrimination of Locally Stationary Time Series Based on the Excess Mass Functional
Polonik, Wolfgang
Discrimination of Locally Stationary Time Series Based on the Excess Mass Functional Gabriel CHANDLER and Wolfgang POLONIK Discrimination of time series is an important practical problem the time series. Instead, features are measured for each time series, and discrimination is based
Lab 7: Fourier analysis and synthesis Fourier series (periodic phenomena)
Gustafsson, Torgny
Lab 7: Fourier analysis and synthesis Fourier series (periodic phenomena) Fourier transform (aperiodic phenomena) Fast Fourier transform (FFT) The Fourier Transform and its Applications Brad G A powerful analytic tool that has many applications.... #12;Applications of Fourier analysis Periodic
Ultrasound radio-frequency time series for finding malignant breast lesions
Freitas, Nando de
-based solutions for breast lesion characterization to reduce the patient recall rate after mammography screening. In this work, ultrasound radio frequency time series analysis is performed for sepa- rating benign framework can help in differentiating malignant from benign breast lesions. 1 Introduction In the United
Characterizing Weak Chaos using Time Series of Lyapunov Exponents
R. M. da Silva; C. Manchein; M. W. Beims; E. G. Altmann
2015-06-13
We investigate chaos in mixed-phase-space Hamiltonian systems using time series of the finite- time Lyapunov exponents. The methodology we propose uses the number of Lyapunov exponents close to zero to define regimes of ordered (stickiness), semi-ordered (or semi-chaotic), and strongly chaotic motion. The dynamics is then investigated looking at the consecutive time spent in each regime, the transition between different regimes, and the regions in the phase-space associated to them. Applying our methodology to a chain of coupled standard maps we obtain: (i) that it allows for an improved numerical characterization of stickiness in high-dimensional Hamiltonian systems, when compared to the previous analyses based on the distribution of recurrence times; (ii) that the transition probabilities between different regimes are determined by the phase-space volume associated to the corresponding regions; (iii) the dependence of the Lyapunov exponents with the coupling strength.
A non subjective approach to the GP algorithm for analysing noisy time series
K. P. Harikrishnan; R. Misra; G. Ambika; A. K. Kembhavi
2006-03-11
We present an adaptation of the standard Grassberger-Proccacia (GP) algorithm for estimating the Correlation Dimension of a time series in a non subjective manner. The validity and accuracy of this approach is tested using different types of time series, such as, those from standard chaotic systems, pure white and colored noise and chaotic systems added with noise. The effectiveness of the scheme in analysing noisy time series, particularly those involving colored noise, is investigated. An interesting result we have obtained is that, for the same percentage of noise addition, data with colored noise is more distinguishable from the corresponding surrogates, than data with white noise. As examples for real life applications, analysis of data from an astrophysical X-ray object and human brain EEG, are presented.
Jensen, Deborah Larkey
2005-02-17
. The mean and standard deviation of observable decision-action rates on teacher-identified ?teaching days? were higher than the rates on ?guiding? days. Bivariate time series analysis of decision-action rates and physiological response rates showed a...
Climate signal detection using wavelet transform: How to make a time series sing
Lau, K.M.; Weng, H.
1995-12-01
In this paper, the application of the wavelet transform (WT) to climate time series analyses is introduced. A tutorial description of the basic concept of WT, compared with similar concepts used in music, is also provided. Using an analogy between WT representation of a time series and a music score, the authors illustrate the importance of local versus global information in the time-frequency localization of climate signals. Examples of WT applied to climate data analysis are demonstrated using analytic signals as well as real climate time series. Results of WT applied to two climate time series-that is, a proxy paleoclimate time series with a 2.5-Myr deep-sea sediment record of {gamma}{sup 18}O and a 140-yr monthly record of Northern Hemisphere surface temperature-are presented. The former shows the presence of a 40-kyr and a 100-kyr oscillation and an abrupt transition in the oscillation regime at 0.7 Myr before the present, consistent with previous studies. The latter possesses a myriad of oscillatory modes f rom interannual (2-5 yr), interdecadal (10-12 yr, 20-25 yr, and 40-60 yr), and century ({approximately}180 yr) scales at different periods of the data record. In spite of the large difference in timescales, common features in time-frequency characteristics of these two time series have been identified. These features suggest that the variations of the earth`s climate are consistent with those exhibited by a nonlinear dynamical system under external forcings. 32 refs., 9 figs.
Frontiers in Chemical Physics and Analysis Seminar Series
scanning tunneling microscopy images and spectra, we show that oxygen vacancies act as trapping centresFrontiers in Chemical Physics and Analysis Seminar Series Influence of Wet Electron States
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 of particulate air pollution on the same or recent days (1;2). Studies of similar time-series design of morbidity for adverse effects of particulate air pollution on the public's health. The daily time-series studies of air
Exposure Measurement Error in Time-Series Studies of Air Pollution: Concepts and Consequences
Dominici, Francesca
1 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 of air pollution and health. Because measurement error may have substantial implications for interpreting
Ray, Asok
February 8, 2015 16:49 World Scientific Review Volume - 9in x 6in "time-series classification" page:49 World Scientific Review Volume - 9in x 6in "time-series classification" page 2 2 S. Bahrampour and N. M
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
Time Series Evaluation of Radiation Portal Monitor Data for Point Source Discrimination.
Robinson, Sean M.; Bender, Sarah E.; Flumerfelt, Eric L.; Lopresti, Charles A.; Woodring, Mitchell L.
2009-07-20
A novel algorithm approach to evaluating data from PVT-based Radiation Portal Monitor (RPM) systems is established. Time series of data from RPMs are evaluated for the presence of sources of interest by comparing the background to the vehicle spectrum at each successive time step, isolating the contribution of anomalous radiation. At each time in the data sequence, a spectral distance index is calculated using this method. This method may dramatically reduce systematic fluctuations due to background attenuation by a vehicle (the so-called shadow shielding effect), and allow for time-series matched filtering for discrimination of compact anomalous sources. This is attempted by using a wavelet filter function of similar size to the expected source profile on the output of the spectral distance method. Performance of this method is shown by analysis (injection studies) of a number of real drive-through data sets taken at a U.S. port of entry. Spectra from isotopes of interest are injected into the data set, and the resultant benign and injected data sets are analyzed with gross-counting, spectral distance, and spatial algorithms. The combination of spectral and spatial analysis methods showed a significant increase to detection performance.
Tataw, Oben Moses
2013-01-01
International Conference on Data Mining (2001). Khairy, K. ,and Eamonn Keogh (2011). Mining Historical Documents forWang, E. J. Keogh. Querying and mining of time series data.
Static timing analysis in VLSI design
Zhou, Shuo
2006-01-01
II.B Static Timing AnalysisStatic Timing Analysis in the Design Flow FalseChip Analysis . . . . . . . . . . . . . . I.C Static Timing
348 Book Reviews Nonlinear Time Series: Nonparametric and Parametric Methods.
Fan, Jianqing
diagnostics, and then computes optimal predictors for future values of the series. Autoregressive moving aver of topics covered in this book makes for a large and awk- ward load. It is like coming home from the grocery, and breaks, and some items are lost altogether. This book has scratches scattered throughout, in the form
Input Data Reduction for the Prediction of Financial Time Series
Verleysen, Michel
on data from the BEL20 market index. 1. Introduction Since the beginning of this century, the question of the predictability of financial series (at least of stock market prices) has been the subject of a highly. To perform the transformation between the initial inputs and the new variables, we may choose to use a linear
Siggiridou, Elsa
2015-01-01
Granger causality has been used for the investigation of the inter-dependence structure of the underlying systems of multi-variate time series. In particular, the direct causal effects are commonly estimated by the conditional Granger causality index (CGCI). In the presence of many observed variables and relatively short time series, CGCI may fail because it is based on vector autoregressive models (VAR) involving a large number of coefficients to be estimated. In this work, the VAR is restricted by a scheme that modifies the recently developed method of backward-in-time selection (BTS) of the lagged variables and the CGCI is combined with BTS. Further, the proposed approach is compared favorably to other restricted VAR representations, such as the top-down strategy, the bottom-up strategy, and the least absolute shrinkage and selection operator (LASSO), in terms of sensitivity and specificity of CGCI. This is shown by using simulations of linear and nonlinear, low and high-dimensional systems and different t...
Functional Coefficient Regression Models for Non-linear Time Series: A Polynomial
Shen, Haipeng
Functional Coefficient Regression Models for Non-linear Time Series: A Polynomial Spline Approach of functional coefficient regression models for non-linear time series. Consistency and rate of convergence to estimate the coefficient functions. Cai et al. (2000) and Chen & Liu (2001) used the local linear method
A regression model with a hidden logistic process for feature extraction from time series
Chamroukhi, Faicel
A regression model with a hidden logistic process for feature extraction from time series Faicel from time series is proposed in this paper. This approach consists of a specific regression model Reweighted Least-Squares (IRLS) algorithm. A piecewise regression algorithm and its iterative variant have
Discrimination and Classification of Nonstationary Time Series using the SLEX Model
Discrimination and Classification of Nonstationary Time Series using the SLEX Model Hsiao-Yun Huang scheme based on the SLEX (Smooth Localized Complex EXponential) library. The SLEX library forms domains. Thus, the SLEX library has the ability to extract local spectral features of the time series
Discrimination and Classification of Nonstationary Time Series Using the SLEX Model
Discrimination and Classification of Nonstationary Time Series Using the SLEX Model Hsiao-Yun HUANG a discriminant scheme based on the SLEX (smooth localized complex exponential) library. The SLEX library forms domains. Thus, the SLEX library has the ability to extract local spectral features of the time series
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
Abstract--We present a method to integrate environmental time series
89 Abstract--We present a method to integrate environmental time series into stock assessment). A general framework for integrating environmental time series into stock assessment models: model models and to test the significance of correlations between population processes and the environmental
SVG and Geo Web Services for visualization of time series data of flood risk Barend Kbben
Kbben, Barend
SVG and Geo Web Services for visualization of time series data of flood risk Barend Kbben. The Open Geospatial Consortiums Web Map Service (WMS) specification is no doubt the most widely implemented webservices Open Web Services specifications Time series in WMS RIMapperWMS: SVG from WMS SVG animation of Geo-WebServices
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
Cirpka, Olaf Arie
Stochastic Generation of Synthetic Precipitation Time Series with High Temporal and Spatial.Brommundt@iws.uni-stuttgart.de Introduction The stochastic precipitation time series generator, NiedSim, has been developed and installed been generated. In the year 2004 NiedSim was set up for Hessen and Rheinland-Pfalz. The total project
Towards Never-Ending Learning from Time Series Streams , Yanping Chen*
Zordan, Victor
that an email is sent to the building supervisor with a picture of the patterns and any other useful metadata a time series produced by a light sensor at Soda Hall in Berkley. While the sensor will produce data sensors at Soda Hall produce a never- ending time series, of which we can cache only a small subset main
A METHOD FOR IDENTIFYING REPETITION STRUCTURE IN MUSICAL AUDIO BASED ON TIME SERIES PREDICTION
Dixon, Simon
A METHOD FOR IDENTIFYING REPETITION STRUCTURE IN MUSICAL AUDIO BASED ON TIME SERIES PREDICTION This paper investigates techniques for determining the repeti- tion structure of musical audio. In particular. To this end, we propose a novel approach based on multivari- ate time series modelling of audio features
Summarizing Neonatal Time Series Data Somayajulu G. Sripada, Ehud Reiter, Jim Hunter and Jin Yu
a time series. We are building a system to summarize physiological times series data such as heart rate forecasts from weather data such as wind speed, wind direction, and wave heights. In gas turbines we pressure sampled every second for three hours. Figure 2 shows its summary extracted from a small corpus
Summarizing Neonatal Time Series Data Somayajulu G. Sripada, Ehud Reiter, Jim Hunter and Jin Yu
Reiter, Ehud
a time series. We are building a system to summarize physiological times series data such as heart rate forecasts from weather data such as wind speed, wind direction, and wave heights. In gas turbines we for three hours. Figure 2 shows its summary extracted from a small corpus of human written summaries we
Modelling signal interactions with application to financial time series
Jain, Bonny
2014-01-01
In this thesis, we concern ourselves with the problem of reasoning over a set of objects evolving over time that are coupled through interaction structures that are themselves changing over time. We focus on inferring ...
Plotkin, S.; Stephens, T.; McManus, W.
2013-03-01
Scenarios of new vehicle technology deployment serve various purposes; some will seek to establish plausibility. This report proposes two reality checks for scenarios: (1) implications of manufacturing constraints on timing of vehicle deployment and (2) investment decisions required to bring new vehicle technologies to market. An estimated timeline of 12 to more than 22 years from initial market introduction to saturation is supported by historical examples and based on the product development process. Researchers also consider the series of investment decisions to develop and build the vehicles and their associated fueling infrastructure. A proposed decision tree analysis structure could be used to systematically examine investors' decisions and the potential outcomes, including consideration of cash flow and return on investment. This method requires data or assumptions about capital cost, variable cost, revenue, timing, and probability of success/failure, and would result in a detailed consideration of the value proposition of large investments and long lead times. This is one of a series of reports produced as a result of the Transportation Energy Futures (TEF) project, a Department of Energy-sponsored multi-agency effort to pinpoint underexplored strategies for abating GHGs and reducing petroleum dependence related to transportation.
Plotkin, Steve; Stephens, Thomas; McManus, Walter
2013-03-01
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.
Schneberk, D.
1985-07-01
This paper describes the analysis component of the Enrichment Diagnostic System (EDS) developed for the Atomic Vapor Laser Isotope Separation Program (AVLIS) at Lawrence Livermore National Laboratory (LLNL). Four different types of analysis are performed on data acquired through EDS: (1) absorption spectroscopy on laser-generated spectral lines, (2) mass spectrometer analysis, (3) general purpose waveform analysis, and (4) separation performance calculations. The information produced from this data includes: measures of particle density and velocity, partial pressures of residual gases, and overall measures of isotope enrichment. The analysis component supports a variety of real-time modeling tasks, a means for broadcasting data to other nodes, and a great degree of flexibility for tailoring computations to the exact needs of the process. A particular data base structure and program flow is common to all types of analysis. Key elements of the analysis component are: (1) a fast access data base which can configure all types of analysis, (2) a selected set of analysis routines, (3) a general purpose data manipulation and graphics package for the results of real time analysis. Each of these components are described with an emphasis upon how each contributes to overall system capability. 3 figs.
A New Architecture for Summarising Time Series Data
Sripada, Yaji
of the systems developed in the SumTime Project2 ) summarises sensor data from gas turbines. This is challenging because of the large amount of data being summarised; a typical gas turbine has 250 ana- logue data generation techniques to produce summaries of such data. A short extract from SumTime-Turbine's input data
A FAST MODEL-BUILDING METHOD FOR TIME SERIES USING GENETIC PROGRAMMING
Fernandez, Thomas
generation, initial values of the parameters in an model (offspring) are inherited from the parents. step-2 series and applied it to lots of time series: (1) computer generated chaos e.g. Logistic, Loessler is made by using a set of finite number of past values measured from the system )x,,x,(xfx~ n-t2-t1-tt
IMPROVED SEMI-PARAMETRIC TIME SERIES MODELS OF AIR POLLUTION AND MORTALITY
Dominici, Francesca
IMPROVED SEMI-PARAMETRIC TIME SERIES MODELS OF AIR POLLUTION AND MORTALITY Francesca Dominici series analyses of air pollution and health attracted the attention of the scientific community, policy makers, the press, and the diverse stakeholders con- cerned with air pollution. As the Environmental
2001, Applied Statistics, 50, 143-154. Nonlinear autoregressive time series with multivariate
Glasbey, Chris
series is proposed to model solar radiation data, by specifying joint marginal distributions at low lags, Multiprocess dynamic linear model, Solar radiation 1 Introduction Knowledge of the statistical characteristics of time series of solar radiation has many uses, one of which is in the design and evaluation of solar
Time Series Methods for ForecastingElectricityMarket Pricing Zoran Obradovic Kevin Tomsovic
Obradovic, Zoran
of traditional commodities, such as,oil or agricultural products. Clearly, assessing the effectivenessTime Series Methods for ForecastingElectricityMarket Pricing Zoran Obradovic Kevin Tomsovic PO Box
Time-Series Classification of High-Temporal Resolution AVHRR NDVI Imagery of Mexico
Egbert, Stephen L.; Ortega-Huerta, Miguel; Martí nez-Meyer, Enrique; Price, Kevin P.; Peterson, A. Townsend
2000-01-01
Time-series data from wide-field sensors, acquired for the period of a growing season or longer, capitalize on phenological changes in vegetation and make it possible to identify vegetated land cover types in greater detail. ...
Time Series and the Dynamics of Demand Pacing Daniel T. Kaplan
Kaplan, Daniel T.
Time Series and the Dynamics of Demand Pacing Daniel T. Kaplan Dept. of Mathematics & Computer on in Kaplan2 and Christini and Kaplan3 . Along with the theory, I will detail some of the signal processing
Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering
Noor, Amina
2012-10-19
This thesis considers the problem of learning the structure of gene regulatory networks using gene expression time series data. A more realistic scenario where the state space model representing a gene network evolves nonlinearly is considered while...
Mining Time Series Data: Moving from Toy Problems to Realistic Deployments
Hu, Bing
2013-01-01
Conference on Data Mining, 2010 V. Chandola, A. Banerjee,and E. Keogh. Querying and Mining of Time Series Data:2 nd Workshop on Temporal Data Mining, 2002 K. Malatesta, S.
Nonparametric estimation of additive nonlinear ARX time series: Local Linear Fitting and Projections
Cai, Zongwu; Masry, Elias
2000-08-01
We consider the estimation and identification of the components (endogenous and exogenous) of additive nonlinear ARX time series models. We employ a local polynomial fitting scheme coupled with projections. We establish ...
Desertification of high latitude ecosystems: conceptual models, time-series analyses and experiments
Thorsson, Johann
2009-05-15
-1 DESERTIFICATION OF HIGH LATITUDE ECOSYSTEMS: CONCEPTUAL MODELS, TIME-SERIES ANALYSES AND EXPERIMENTS A Dissertation by JOHANN THORSSON Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements... for the degree of DOCTOR OF PHILOSOPHY December 2008 Major Subject: Rangeland Ecology and Management DESERTIFICATION OF HIGH LATITUDE ECOSYSTEMS: CONCEPTUAL MODELS, TIME-SERIES ANALYSES AND EXPERIMENTS A Dissertation by JOHANN...
Iterative prediction of chaotic time series using a recurrent neural network
Essawy, M.A.; Bodruzzaman, M. [Tennessee State Univ., Nashville, TN (United States). Dept. of Electrical and Computer Engineering; Shamsi, A.; Noel, S. [USDOE Morgantown Energy Technology Center, WV (United States)
1996-12-31
Chaotic systems are known for their unpredictability due to their sensitive dependence on initial conditions. When only time series measurements from such systems are available, neural network based models are preferred due to their simplicity, availability, and robustness. However, the type of neutral network used should be capable of modeling the highly non-linear behavior and the multi-attractor nature of such systems. In this paper the authors use a special type of recurrent neural network called the ``Dynamic System Imitator (DSI)``, that has been proven to be capable of modeling very complex dynamic behaviors. The DSI is a fully recurrent neural network that is specially designed to model a wide variety of dynamic systems. The prediction method presented in this paper is based upon predicting one step ahead in the time series, and using that predicted value to iteratively predict the following steps. This method was applied to chaotic time series generated from the logistic, Henon, and the cubic equations, in addition to experimental pressure drop time series measured from a Fluidized Bed Reactor (FBR), which is known to exhibit chaotic behavior. The time behavior and state space attractor of the actual and network synthetic chaotic time series were analyzed and compared. The correlation dimension and the Kolmogorov entropy for both the original and network synthetic data were computed. They were found to resemble each other, confirming the success of the DSI based chaotic system modeling.
Time Series Evaluation of Radiation Portal Monitor Data for Point Source Detection
Robinson, Sean M.; Bender, Sarah E.; Flumerfelt, Eric L.; Lopresti, Charles A.; Woodring, Mitchell L.
2009-12-08
The time series of data from a Radiation Portal Monitor (RPM) system are evaluated for the presence of point sources by isolating the contribution of anomalous radiation. Energy-windowed background spectra taken from the RPM are compared with the observed spectra at each time step during a vehicle drive-through. The total signal is turned into a spectral distance index using this method. This provides a time series with reduced systematic fluctuations due to background attenuation by the vehicle, and allows for point source detection by time-series analyses. The anomalous time series is reanalyzed by using a wavelet filter function of similar size to the expected source profile. A number of real drive-through data sets taken at a U.S. port of entry are analyzed in this way. A set of isotopes are injected into the data set, and the resultant benign and injected data sets are analyzed with gross-counting, spectral-ratio, and time-based algorithms. Spectral and time methods together offer a significant increase to detection performance.
TIME SERIES MODELS OF THREE SETS OF RXTE OBSERVATIONS OF 4U 1543-47
Koen, C.
2013-03-01
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.
Aalborg Universitet ARIMA-Based Time Series Model of Stochastic Wind Power Generation
Bak-Jensen, Birgitte
the nonstationarity and physical limits of stochastic wind power generation. The model is constructed based on wind power measurement of one year from the Nysted offshore wind farm in Denmark. The proposed limitedAalborg Universitet ARIMA-Based Time Series Model of Stochastic Wind Power Generation Chen, Peiyuan
Neural networks as a tool for constructing continuous NDVI time series from AVHRR and MODIS
Neural networks as a tool for constructing continuous NDVI time series from AVHRR and MODIS M. E-stationary aspect of NDVI, we use an artificial neural network (ANN) to map the NDVI indices from AVHRR to those the AVHRR record. Four years of overlap between the two sensors is used to train a neural network to remove
Time Series Measurements of Temperature, Current Velocity, and Sediment Resuspension in Saginaw Bay
Time Series Measurements of Temperature, Current Velocity, and Sediment Resuspension in Saginaw Bay and verification. These measurements will be made as part of this project. Measurements of sediment resuspension sediment resuspension in the bay during the spring. Measurements of sediment resuspension are important
Evolving Neural Network Weights for Time-Series Prediction of General Aviation Flight Data
Hu, Wen-Chen
and predictive maintenance systems, reducing accident rates and saving lives. Keywords: Time-Series Prediction and lucrative industry, it has the highest accident rates within civil aviation [21]. For many years between 0.08% for altitude to 2% for roll. Cross validation of the best neural networks indicate
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 (SHM) systems. Different methods have been developed for detection of damages in WT blades. However a damage detection method based on autocorrelations of response accelerations. The damage sensitive feature
Mapping Deforestation and Forest Degradation Using Landsat Time Series: a Case of Sumatra--Indonesia
20 Mapping Deforestation and Forest Degradation Using Landsat Time Series: a Case of Sumatra--Indonesia Belinda Arunarwati Margono1, 2 Abstract Indonesia experiences the second highest rate of deforestation monitoring system, in addition to the problem of cloud cover in Indonesia. In this work, we demonstrate
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
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
OUTPUT-ONLY STATISTICAL TIME SERIES METHODS FOR STRUCTURAL HEALTH MONITORING: A COMPARATIVE STUDY
Paris-Sud XI, Universit de
OUTPUT-ONLY STATISTICAL TIME SERIES METHODS FOR STRUCTURAL HEALTH MONITORING: A COMPARATIVE STUDY-STSMs) for Structural Health Monitoring (SHM) is presented via damage de- tection and identification in a GARTEUR type for Structural Health Monitoring (SHM). Their use is of high importance for structures such as bridges, aircraft
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
Creating and Using Geospatial Ontology Time Series in a Semantic Cultural Heritage Portal
Hyvnen, Eero
Creating and Using Geospatial Ontology Time Series in a Semantic Cultural Heritage Portal Tomi annotations in semantic cultural heritage portals commonly make spatiotemporal references to historical heritage portal CULTURESAMPO to sup- port faceted semantic search of contents and to visualize historical
INHERENT WATER OPTICAL PROPERTIES AT THE CARIBBEAN TIME SERIES STATION (CaTS)
Gilbes, Fernando
INHERENT WATER OPTICAL PROPERTIES AT THE CARIBBEAN TIME SERIES STATION (CaTS) Fernando Gilbes Rico 00681 ABSTRACT The temporal variability of the inherent water optical properties at the Caribbean wavelengths, but in all cases, the values were less than one. The correlation between bio-optical properties
Monitoring water stress using time series of observed to unstressed surface temperature difference
Gentine, Pierre
Monitoring water stress using time series of observed to unstressed surface temperature difference to monitor stress have shifted from establishing empirical relationships between combined vegetation cover/temperature surface temperature as a baseline to monitor water stress. The unstressed temperature is the equilibrium
Time-series validation of MODIS land biophysical products in a Kalahari woodland, Africa
Myneni, Ranga B.
Time-series validation of MODIS land biophysical products in a Kalahari woodland, Africa K. F MODIS variables are produced from the same algorithm. Solar zenith angle effects, differences between the two sides of the leaves are not symmetrical; 3. horizontally projected LAI is the area of `shadow
1.2000-2009 time-series return information for Snake River: a. Fall Chinook Salmon
#12;Content: 1.2000-2009 time-series return information for Snake River: a. Fall Chinook Salmon b. Sockeye Salmon c. Summer Steelhead d. Spring/Summer Chinook Salmon 2.2010 run-size forecasts for: a. Sockeye Salmon b. Spring/Summer Chinook Salmon #12;#12;Species: Run: Origin: Period: Chinook Salmon Fall
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.
2014-10-01
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 archives 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
2015-01-01
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...
I. Ermolli; S. K. Solanki; A. G. Tlatov; N. A. Krivova; R. K. Ulrich; J. Singh
2008-02-26
Various observatories around the globe started regular full-disk imaging of the solar atmosphere in the Ca II K line since the early decades of the 20th century. The archives made by these observations have the potential of providing far more detailed information on solar magnetism than just the sunspot number and area records to which most studies of solar activity and irradiance changes are restricted. We evaluate the image contents of three Ca II K spectroheliogram time-series, specifically those obtained by the digitization of the Arcetri, Kodaikanal, and Mt Wilson photographic archives. We describe the main problems afflicting these data and analyze their quality by expressing the image contents through several quantities. We compare the results obtained with those for similar present-day observations taken with the Meudon spectroheliograph and with the Rome-PSPT. We show that historic data suffer from stronger geometrical distortions and photometric uncertainties than similar present-day observations. The latter uncertainties mostly originate from the photographic calibration of the original data and from stray-light effects. We also show that the image contents of the three analyzed series vary in time. These variations are probably due to instrument changes and aging of the spectrographs used, as well as changes of the observing programs. Our results imply that the main challenge for the analysis of historic data is their accurate photometric calibration. This problem must be solved before they can provide reliable information about solar magnetism and activity over the last century. Moreover, inter-calibration of results obtained from independent time-series is required to reliably trace changes of solar properties with time from the analysis of such data.
Essays on time series and causality analysis in financial markets
Zohrabyan, Tatevik
2009-05-15
DAG Directed Acyclic Graph EN Energy ENC East North Central ESC East South Central EUR Euro FI Financials Finl Finland Fran France Germ Germany GICS Global Industry Classification Sector HC Health Care HK Honk Kong vii Hung Hungary...-denominated Data in Post-Euro Period ......................................................................................................... 88 3.7 Estimated Copula Parameters for EUR-denominated Data in Post-Euro Period...
International Association for Cryptologic Research (IACR)
analysis, machine learning, time series classification. 1 Introduction Embedded devices such as smart cards operations allowing to secure, for example, bank transfers, buildings and cars. A modern bank card embeds securely a secret information allowing in fine to transfer cash. This operation is allowed by the smart
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
Gaudi, B. Scott
PUSHING THE LIMITS OF GROUND-BASED PHOTOMETRIC PRECISION: SUBMILLIMAGNITUDE TIME-SERIES PHOTOMETRY of this study was to demonstrate the ability to obtain very high precision photometry for a large number to obtain high-precision (millimagnitude, or less than 1%) time-series, optical and infrared photometry
Mesoscale variability in time series data: Satellite-based estimates for the U.S. JGOFS Bermuda TOPEX/PoseidonERS-1/2) are used to characterize, statistically, the mesoscale variability about the U to better understand the contribution of mesoscale eddies to the time series record and the model- data
Time cartogram series to explore differences in the level of railway services: a case, population or travelling-time. A time cartogram is a type of cartogram in which the geographic-distance between locations is replaced by a time-related attribute (e.g., travelling-time) and the geography
Fast detection of nonlinearity and nonstationarity in short and noisy time series
M. De Domenico; V. Latora
2010-07-07
We introduce a statistical method to detect nonlinearity and nonstationarity in time series, that works even for short sequences and in presence of noise. The method has a discrimination power similar to that of the most advanced estimators on the market, yet it depends only on one parameter, is easier to implement and faster. Applications to real data sets reject the null hypothesis of an underlying stationary linear stochastic process with a higher confidence interval than the best known nonlinear discriminators up to date.
Hong, Tianzhen
2009-01-01
N ATIONAL L ABORATORY EnergyPlus Run Time Analysis Tianzhenl y s i s Development of EnergyPlus for Use in Title 24 andCommission Staff Use of EnergyPlus Deliverable for Task
Thermoacoustic instability - a dynamical system and time domain analysis
Sayadi, Taraneh; Schmid, Peter; Richecoeur, Franck; Massot, Marc
2013-01-01
This study focuses on the Rijke tube problem, which includes features relevant to the modeling of thermoacoustic coupling in reactive flows: a compact acoustic source, an empirical model for the heat source, and nonlinearities. This system features both linear and nonlinear flow regimes with complex dynamical behavior. In order to synthesize accurate time-series, we tackle this problem from a numerical point-of-view, and start by proposing a dedicated solver designed for dealing with the underlying stiffness, in particular, the retarded time and the discontinuity at the location of the heat source. Stability analysis is performed on the limit of the low amplitude perturbations by means of the projection method proposed by Jarlebring (2008), which alleviates the linearization of the retarded term. The results are then compared to the analytical solution of the undamped system, in addition to the analysis based on Galerkin projection. The method provides insight into the consequence of the simplification due to...
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)
2010-12-15
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)
Bodruzzaman, M.; Essawy, M.A.
1996-03-31
Chaotic systems are known for their unpredictability due to their sensitive dependence on initial conditions. When only time series measurements from such systems are available, neural network based models are preferred due to their simplicity, availability, and robustness. However, the type of neural network used should be capable of modeling the highly non-linear behavior and the multi- attractor nature of such systems. In this paper we use a special type of recurrent neural network called the ``Dynamic System Imitator (DSI)``, that has been proven to be capable of modeling very complex dynamic behaviors. The DSI is a fully recurrent neural network that is specially designed to model a wide variety of dynamic systems. The prediction method presented in this paper is based upon predicting one step ahead in the time series, and using that predicted value to iteratively predict the following steps. This method was applied to chaotic time series generated from the logistic, Henon, and the cubic equations, in addition to experimental pressure drop time series measured from a Fluidized Bed Reactor (FBR), which is known to exhibit chaotic behavior. The time behavior and state space attractor of the actual and network synthetic chaotic time series were analyzed and compared. The correlation dimension and the Kolmogorov entropy for both the original and network synthetic data were computed. They were found to resemble each other, confirming the success of the DSI based chaotic system modeling.
Assessment of Time-Series MODIS Data for Cropland Mapping in the U.S. Central Great Plains
Masialeti, Iwake
2008-07-23
.1 Introduction 141 4.2 Research Objectives 143 4.3 Study Area 144 4.4 Data and Methods 145 4.4.1 Time-Series MODIS NDVI Data 146 4.4.2 Common Land Unit (CLU) and Field Site Database for 2005 147 4.4.3 Kansas Average NDVI... because it is expensive to collect, inadequate in spatial and temporal coverage, inadvertently inaccurate, outdated, legally restricted, or non-existent; 2) Evaluate the applicability of time-series MODIS 250-m NDVI data for crop-type discrimination...
Statnikov, Alexander
2011-01-01
, 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))
1992-09-01
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.
Scalable Run Time Data Collection Analysis and Visualization...
Office of Scientific and Technical Information (OSTI)
Scalable Run Time Data Collection Analysis and Visualization (Presentation). Citation Details In-Document Search Title: Scalable Run Time Data Collection Analysis and Visualization...
Percival, Don
signal. We find that common signals in electrical records have time scales of approxi- mately 13 years of Washington, Seattle, WA 98195 5640, USA #12;Abstract The acquisition and interpretation of increasingly high series of electrical and oxygen isotope mea- surements from a spatial array of firn cores with 3.57 km
Photometry and transit-timing analysis for eleven transiting exoplanets
De Kleer, Katherine Rebecca
2009-01-01
This thesis presents time-series photometry of transits of 11 different extrasolar planets. Observations were conducted with the Fred L. Whipple Observatory 1.2m telescope and the Wise Observatory im telescope, in standard ...
IGR For GR/M76881/01: Generating Summaries of Time-Series Data (SumTime) Background/Context
Sripada, Yaji
of numerical time-series data. The modern world is being flooded with such data. For example, a typical gas-turbine worked in three domains: weather forecasts, summaries of gas-turbine sensor data, and summaries of sensor number of input data values; this meant it could not be used in our hospital and gas-turbine domains
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))
1992-09-01
Research has been 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 bumup, 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-PFL/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 bumup. Using peaking factors commensurate widi actual bumups would result in longer intervals for both reactor designs. This document also contains appendices A through J of this report.
Fluorescence spectrum analysis using Fourier series modeling for Fluorescein solution in Ethanol
Hadi, Mahasin F
2011-01-01
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.
Kaski, Samuel
Series Yubin Park1 Carlos M. Carvalho2 Joydeep Ghosh1 1 Department of Electrical Computer Engineering by the authors. In the fraud detection community, purchase records and click streams have been key factors: interpretability and extensibility. Indeed, the VAR process has a rich history with parsimonious the- oretical
Baltazar, J. C.; Claridge, D. E.
2002-01-01
The paper presents seventeen approaches that use cubic splines and Fourier series for restoring short term missing data in time series of building energy use and weather data. The study is based on twenty samples of hourly data, each at least one...
Baltazar-Cervantes, J. C.; Claridge, D. E.
2002-01-01
This paper presents seventeen approaches that use cubic splines and Fourier series for restoring short term missing data in time series of building energy use and weather data. The study is based on twenty samples of hourly data, each at least one...
CITED REFERENCES Acevedo, W; Masuoka, P. 1997. Time-Series Animation Techniques for Visualizing
Julien, Pierre Y.
for Exploratory Analysis. GeoInformatics, 3 . http://www.geoinformatics.com/issueonline/issues/2000/12_2000/pdf_12
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
Martinez, L.T.
1997-05-01
The objective of this study was to determine the effect of nonrandom sampling over time may have on the estimation of variability, namely the geometric standard deviation, using time series of personal exposure data.
Finite-Time Stability of Discrete-Time Nonlinear Systems: Analysis and Design
Finite-Time Stability of Discrete-Time Nonlinear Systems: Analysis and Design S. Mastellone, P. Dorato, C. T. Abdallah Abstract-- Finite-time stability of nonlinear discrete-time systems is studied we propose a new analysis result for fi- nite time stability of deterministic and stochastic discrete
A Linear-Time Approach for Static Timing Analysis Covering All Process Corners
Najm, Farid N.
A Linear-Time Approach for Static Timing Analysis Covering All Process Corners Sari Onaissi into the timing analysis of a circuit. With the increase in the number of interesting process vari- ables process variations lead to circuit timing variability and a corresponding timing yield loss. Traditional
Approximate Response Time Analysis of Real-Time Task Graphs
Yi, Wang
that RBF has a speedup factor of 2, and this is tight even for dual-task systems. The speedup factor of IBF approaches infinity and equals 1 when k = 1, implying that the IBF analysis is exact for dual-task systems variable rate-dependent behavior in con- trollers for fuel injection in combustion engines [6] and frame
Time series study of urban rainfall suppression during clean-up periods
Geng, Jun
2009-05-15
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...
Phase distribution and phase correlation of financial time series Ming-Chya Wu,1,
to determine the best price for a given item. Previous studies of financial sys- tems are usually based analysis in statistical mechanics is shown to be ap- plicable in the studies of market systems 2 are investigated based on the Dow Jones Industry Average and NASDAQ 10-min intraday data for a period from 1 Aug
IMPROVED SEMI-PARAMETRIC TIME SERIES MODELS OF AIR POLLUTION AND MORTALITY
Hastie, Trevor
we provide improvements in semi-parametric regression directly relevant to risk estimation in time of an intense national debate, that has led to a high profile research agenda (National Research Council, 1998, 1999, 2001). In the United States and elsewhere, evidence
Failure Time Analysis for LMS Algorithms Adel A. Zerai
Bucklew, James Antonio
Failure Time Analysis for LMS Algorithms Adel A. Zerai Electronics Engineering Technology) analysis of the LMS adaptive algorithms (#12;lters). Such analysis is extremely important when failure of time (a clump of large errors). We use Poisson approximation to study excursions (failure) of the LMS
Maximum likelihood parameter estimation in time series models using sequential Monte Carlo
Yildirim, Sinan
2013-06-11
, respectively. This approach is useful to handle the case where the columns of Y are generated sequentially in time, such as in audio signal processing. Usually very large number of columns in Y leads to the necessity of online algorithms to learn the model... .6 (dashed lines). For illustrative purposes, every 1000th estimate is shown . . . . . . . . . . . . . . . . . . . . . . . 130 6.1 Histograms of Monte Carlo estimates of gradients of log p?,?,?? (Y ?,?,?) w.r.t. the parameters of the ?-stable distribution...
Microwave Plasma Monitoring System For Real-Time Elemental Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
System Microwave Plasma Monitoring System For Real-Time Elemental Analysis The invention apparatus can also be used to monitor for the presence of halogens, sulfur and...
Mitchell, Christopher J; Ahrens, James P; Wang, Jun
2010-10-15
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.
Ghosh, Sayantan; Panigrahi, Prasanta K
2010-01-01
We make use of wavelet transform to study the multi-scale, self similar behavior and deviations thereof, in the stock prices of large companies, belonging to different economic sectors. The stock market returns exhibit multi-fractal characteristics, with some of the companies showing deviations at small and large scales. The fact that, the wavelets belonging to the Daubechies' (Db) basis enables one to isolate local polynomial trends of different degrees, plays the key role in isolating fluctuations at different scales. We make use of Db4 and Db6 basis sets to respectively isolate local linear and quadratic trends at different scales in order to study the statistical characteristics of these financial time series. The fluctuations reveal fat tail non-Gaussian behavior, unstable periodic modulations, at finer scales, from which the characteristic $k^{-3}$ power law behavior emerges at sufficiently large scales. We further identify stable periodic behavior through the continuous Morlet wavelet.
2007-01-01
Molecular Immunology 44 (2007) 30853091 Epi-allelic Erk1 and Erk2 knockdown series for quantitative analysis of T cell Erk regulation and IL-2 production Lucia Willea,1, Melissa L. Kempb,1, Peter 2006; received in revised form 21 January 2007; accepted 7 February 2007 Abstract Erk activation
Fernndez de Crdoba, 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-Frequency Analysis as Probabilistic Inference
Turner, Richard E.
2014-11-06
) and (19) yields: (21) 6176 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 62, NO. 23, DECEMBER 1, 2014 Fig. 1. Relationships between classical and probabilistic time-frequency anal- ysis. A complex filter bank (cFB, ) is formed from a set of filters...
SACI: Statistical Static Timing Analysis of Coupled Interconnects
Pedram, Massoud
in the circuit timing that stem from various sources of variations. However, static timing analysis (STA crosstalk effects in these circuits. As a result, crosstalk analysis and management have been classified line as a linear function of random variables and then use these r.v.'s to compute the circuit mo
Time series association learning
Papcun, George J. (Santa Fe, NM)
1995-01-01
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.
Chen, Wei-Chen [ORNL; Maitra, Ranjan [Iowa State University
2011-01-01
We propose a model-based approach for clustering time series regression data in an unsupervised machine learning framework to identify groups under the assumption that each mixture component follows a Gaussian autoregressive regression model of order p. Given the number of groups, the traditional maximum likelihood approach of estimating the parameters using the expectation-maximization (EM) algorithm can be employed, although it is computationally demanding. The somewhat fast tune to the EM folk song provided by the Alternating Expectation Conditional Maximization (AECM) algorithm can alleviate the problem to some extent. In this article, we develop an alternative partial expectation conditional maximization algorithm (APECM) that uses an additional data augmentation storage step to efficiently implement AECM for finite mixture models. Results on our simulation experiments show improved performance in both fewer numbers of iterations and computation time. The methodology is applied to the problem of clustering mutual funds data on the basis of their average annual per cent returns and in the presence of economic indicators.
Marzouk, Youssef; Fast P. (Lawrence Livermore National Laboratory, Livermore, CA); Kraus, M.; Ray, J. P.
2006-01-01
Terrorist attacks using an aerosolized pathogen preparation have gained credibility as a national security concern after the anthrax attacks of 2001. The ability to characterize such attacks, i.e., to estimate the number of people infected, the time of infection, and the average dose received, is important when planning a medical response. We address this question of characterization by formulating a Bayesian inverse problem predicated on a short time-series of diagnosed patients exhibiting symptoms. To be of relevance to response planning, we limit ourselves to 3-5 days of data. In tests performed with anthrax as the pathogen, we find that these data are usually sufficient, especially if the model of the outbreak used in the inverse problem is an accurate one. In some cases the scarcity of data may initially support outbreak characterizations at odds with the true one, but with sufficient data the correct inferences are recovered; in other words, the inverse problem posed and its solution methodology are consistent. We also explore the effect of model error-situations for which the model used in the inverse problem is only a partially accurate representation of the outbreak; here, the model predictions and the observations differ by more than a random noise. We find that while there is a consistent discrepancy between the inferred and the true characterizations, they are also close enough to be of relevance when planning a response.
Analysis of Wind Power and Load Data at Multiple Time Scales
Coughlin, Katie; Eto, J.H.
2010-12-20
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.
Sripada, Yaji
generates summaries of sensor data from a gas turbine. Table 1. Part of a sample of time series data describe and evaluate SumTime-Turbine, a prototype system which uses this architecture to generate textual summaries of sensor data from gas turbines. 1 Introduction It is often said in the NLP community
Reiter, Ehud
describe and evaluate SumTime-Turbine, a prototype system which uses this architecture to generate textual summaries of sensor data from gas turbines. 1 Introduction It is often said in the NLP community simply from sensors in aircraft engines (Hey and Trefethen 2003). Currently numeric time-series data
An Analysis of Time-instability in Web Search Results
Murphy, Robert F.
An Analysis of Time-instability in Web Search Results Jinyoung Kim1 and Vitor R. Carvalho2 1@cs.cmu.edu Abstract. Due to the dynamic nature of web and the complex architec- tures of modern commercial search collected from a commercial web search engine over several weeks. Our analysis shows that the results from
Entropy of seismic electric signals: Analysis in natural time under time reversal
Varotsos, P.A.; Skordas, E.S. [Solid State Section, Physics Department, University of Athens, Panepistimiopolis, Zografos 157 84, Athens (Greece); Solid Earth Physics Institute, Physics Department, University of Athens, Panepistimiopolis, Zografos 157 84, Athens (Greece); Sarlis, N.V.; Lazaridou, M.S. [Solid State Section, Physics Department, University of Athens, Panepistimiopolis, Zografos 157 84, Athens (Greece); Tanaka, H.K. [Earthquake Prediction Research Center, Tokai University 3-20-1, Shimizu-Orido, Shizuoka 424-8610 (Japan)
2006-03-15
Electric signals have been recently recorded at the Earth's surface with amplitudes appreciably larger than those hitherto reported. Their entropy in natural time is smaller than that of a 'uniform' distribution. The same holds for their entropy upon time reversal. Such a behavior, which is also found by numerical simulations in fractional Brownian motion time series and in an on-off intermittency model, stems from infinitely ranged long range temporal correlations and hence these signals are probably seismic electric signal activities (critical dynamics). This classification is strikingly confirmed since three strong nearby earthquakes occurred (which is an extremely unusual fact) after the original submission of the present paper. The entropy fluctuations are found to increase upon approaching bursting, which is reminiscent of the behavior identifying sudden cardiac death individuals when analyzing their electrocardiograms.
Vector processing enhancements for real-time image analysis.
Shoaf, S.; APS Engineering Support Division
2008-01-01
A real-time image analysis system was developed for beam imaging diagnostics. An Apple Power Mac G5 with an Active Silicon LFG frame grabber was used to capture video images that were processed and analyzed. Software routines were created to utilize vector-processing hardware to reduce the time to process images as compared to conventional methods. These improvements allow for more advanced image processing diagnostics to be performed in real time.
Tse, Chi K. "Michael"
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS--I: FUNDAMENTAL THEORY AND APPLICATIONS, VOL. 50, NO. 5 that may be applied to determine whether an observed time series is inconsis- tent with a specific class to the residuals of nonlinear models is equiv- alent to fitting that model subject to an information theoretic
Seminar Series: MAE Seminar, 2015 spring quarter Date and Time: 05/08/2015 -10:30 am11:30 am
Mease, Kenneth D.
In this seminar, I will first discuss our research results of photoelectrochemical generation of hydrogen some of my research into the design and development of quinoline-based organic semiconducting materialsSeminar Series: MAE Seminar, 2015 spring quarter Date and Time: 05/08/2015 - 10:30 am11:30 am
Introduction to Ocean Station Time Series CD-ROM The National Oceanographic Data Center (NODC) and the World Data Center for Oceanography (WDC) have compiled from the NODC Oceanographic Station Data File a set of oceanographic data having repetitive samples along ocean sections or at fixed locations
Schick, Anton
ESTIMATORS FOR TIME SERIES Anton Schick Department of Mathematical Sciences, Binghamtom University Binghamton is semiparametric, with 1 #12;March 3, 2005 14:40 WSPC/Trim Size: 9in x 6in for Review Volume m-bickel04 2 A. Schick
Rabatel, Antoine
Using remote-sensing data to determine equilibrium-line altitude and mass-balance time series to calculate glacier mass balance using remote-sensing data. Snowline measurements from remotely sensed images by ground measurements and remote sensing are compared and show excellent correlation (r2 > 0.89), both
Abstract--In this study, we analyzed a dataset of time-series vital-signs data collected combination of the automatically-collected and -qualified vital signs provides the best discrimination between of the vital-signs variables, and used the area under the receiver operating characteristic curve (ROC AUC
Systems Analysis of Series of Blackouts: Cascading Failure, Criticality, and Self-organization Ian Dobson a comprehensive account of a complex systems ap- proach to large blackouts caused by cascading failure. In- stead of looking at the details of particular blackouts, we study the statistics, dynamics and risk of series
Space partitioning via Hilbert transform for symbolic time series analysis Aparna Subbua
Ray, Asok
of the Euclidean distance between symbolic neighbors. Thus, better partitions yield a smaller proportion is minimized over the free parameters using a genetic algorithm suitable for continuous-parameter spaces
Thorsten Stahn; Laurent Gizon
2008-03-14
Quantitative helio- and asteroseismology require very precise measurements of the frequencies, amplitudes, and lifetimes of the global modes of stellar oscillation. It is common knowledge that the precision of these measurements depends on the total length (T), quality, and completeness of the observations. Except in a few simple cases, the effect of gaps in the data on measurement precision is poorly understood, in particular in Fourier space where the convolution of the observable with the observation window introduces correlations between different frequencies. Here we describe and implement a rather general method to retrieve maximum likelihood estimates of the oscillation parameters, taking into account the proper statistics of the observations. Our fitting method applies in complex Fourier space and exploits the phase information. We consider both solar-like stochastic oscillations and long-lived harmonic oscillations, plus random noise. Using numerical simulations, we demonstrate the existence of cases for which our improved fitting method is less biased and has a greater precision than when the frequency correlations are ignored. This is especially true of low signal-to-noise solar-like oscillations. For example, we discuss a case where the precision on the mode frequency estimate is increased by a factor of five, for a duty cycle of 15%. In the case of long-lived sinusoidal oscillations, a proper treatment of the frequency correlations does not provide any significant improvement; nevertheless we confirm that the mode frequency can be measured from gapped data at a much better precision than the 1/T Rayleigh resolution.
Time series analysis and feature extraction techniques for structural health monitoring applications
Overbey, Lucas A.
2008-01-01
Polymer Composite Bridge, Proc. SPIE Smart Structures andused for Bridge Diagnostics, Proc. SPIE Smart Structures andTechnology Bridge Project, Proc. SPIE Smart Structures and
EMCS and time-series energy data analysis in a large government office building
Piette, Mary Ann; Kinney, Satkartar; Friedman, Hannah
2001-01-01
and analyze building performance data (Sebald and Pietteevaluating the building's operations data. The objective offrom the whole-building electric data is the temperature
Time series analysis and feature extraction techniques for structural health monitoring applications
Overbey, Lucas A.
2008-01-01
SHM structural health monitoring UAV unmanned aerial vehiclefor aerospace applications. (a) UAV Predator, (b) Lockheedof the unmanned aerial vehicle (UAV) Predator, as weight
Identification of statistical patterns in complex systems via symbolic time series analysis
Ray, Asok
monitoring and decision making in human-engineered complex systems, such as electric power generation, and Automation Society. #12;electric power generation plants, petrochemical plants, and networked transportation integrity and operation reliability. The core concept of pattern identification is built upon the principles
discussion; rather we are concerned here with electrical or magnetic recordings of rapid neuronal dynamics-response properties of a frog's leg at a behavioral level, Sherrington was able to deduce basic principles of neuronal the existence of endogenous generators of behavior or central pattern gen- erators(Gallistel, 1980). Skinner
Forecasting the S&P 500 index using time series analysis and simulation methods
Chan, Eric Glenn
2009-01-01
The S&P 500 represents a diverse pool of securities in addition to Large Caps. A range of audiences are interested in the S&P 500 forecasts including investors, speculators, economists, government and researchers. The ...
Geospatial analysis of vulnerable beach-foredune systems from decadal time series of lidar data
Mitasova, Helena
to quantify elevation change trends, map dynamic and stable locations, identify new and lost buildings surface elevation, and homes built within the shoreline dynamics band have already been lost. The raster 2003), including assessment of major storm and hurricane impacts (Sallenger et al. 2006). The high
Time series analysis and feature extraction techniques for structural health monitoring applications
Overbey, Lucas A.
2008-01-01
rd Intl Workshop on Structural Health Monitoring, StanfordExcitation for Structural Health Monitoring, Smart MaterialsExtraction in Structural Health Monitoring. Structural
A Time Series Analysis of Food Price and Its Input Prices
Routh, Kari 1988-
2012-11-27
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 4.4 4.6 4.8 5.0 5.2 5.4 5.6 Log US Monthly Dollar Index 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 4.52 4.56 4.60 4.64 4.68 4.72 4.76 4.80 4.84 4.88 17... ........................................................... 39 Discussion ....................................................................................................... 42 Comparison of Results from Other DAGs .......................................................... 44 CHAPTER V...
Ras, Zbigniew W.
a University of Pittsburgh b University of North Carolina at Charlotte ABSTRACT Aviation disaster prevention and their corresponding effects on the craft's safety, better maintenance and response plans can be devised to prevent Aviation Agency's Accident/Incident Database, which contains more than 90,000 incidents across 53
A Daily Time Series Analysis of Stream Water Phosphorus Concentrations Along an
Arhonditsis, George B.
. This degradation can be caused by discharges of industrial or municipal wastewater treatment plant effluent). In lakes, phosphorus is the most com- mon regulator of primary production, and excessive P inputs can cause
Fisher, Andrew
of variable streambed hydraulic conductivity. This new approach should facilitate wider use of thermal methods streams in the western United States have declined during the summer and fall in recent years, when in base flow and changes in groundwater recharge [e.g., Bredehoeft et al., 1982], but measuring
Exploratory Spectral Analysis of Hydrological Time Series A.I. McLeod
McLeod, Ian
of Systems Design Engineering University of Waterloo Waterloo, Ontario, Canada N2L 3C5 December 1994 #12 previ- ously to these datasets adequately describe the low frequency component. The software and data are prewhitened by fitting either trend models or simple parametric models such as autore- gressive
Correlation Analysis of Spatial Time Series Datasets: A Filter-and-Refine Approach
Kumar, Vipin
. For example, El Nino, the anomalous warming of the eastern tropical region of the Pacific, has been linked
Software Selection for Reliability Optimization using Time Series Analysis and Machine Learning
Mu, Yali
2013-01-01
of Software Selection . . . . . . . . . . . . . . . . . . .for the software reliability. . . . . . . . . . . . . . K-number of bugs for software. Accumulated number of bugs
A supply forecasting model for Zimbabwe's corn sector: a time series and structural analysis
Makaudze, Ephias
1993-01-01
Board's financial resource needs. Thus, the corn supply forecasts are important information used by the government for contingency planning, decision-making, policy-formulation and implementation. As such, the need for accurate forecasts is obvious...
RESEARCH ARTICLE Time series analysis of infrared satellite data for detecting
Wright, Robert
, if any, known false detections. We also tested gas flares in the Cantarell oil field in the Gulf of Mexico as an end-member scenario representing very persistent thermal anomalies. At Cantarell, the hybrid . Anatahan volcano . Cantarell oil field Introduction Satellite-based thermal infrared (TIR) instruments have
Time series analysis of Adaptive Optics wave-front sensor telemetry...
Office of Scientific and Technical Information (OSTI)
for each subaperture are available. The primary problem is performance comparison of alternative wave-front sensing algorithms. Using direct comparison of data in open loop and...
Time series analysis of Adaptive Optics wave-front sensor telemetry data
Office of Scientific and Technical Information (OSTI)
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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory of rare Kaon and Pion decaysArticle) |errors(Technical Report) | SciTech
Time series analysis of Adaptive Optics wave-front sensor telemetry data
Office of Scientific and Technical Information (OSTI)
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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory of rare Kaon and Pion decaysArticle) |errors(Technical Report) |
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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With WIPPfinalUnexpectedofWyko NT33004.Department ofARM/NSAUse2, 2008
Sheu, Yae-lin; Hsu, Liang-Yan
2015-01-01
Time-frequency (TF) analysis is a powerful tool for exploring ultrafast dynamics in atoms and molecules. While some TF methods have demonstrated their usefulness and potential in several of quantum systems, a systematic comparison among these methods is still lacking. To this end, we compare a series of classical and contemporary TF methods by taking hydrogen atom in a strong laser field as a benchmark. In addition, several TF methods such as Cohen class distribution other than the Wigner-Ville distribution, reassignment methods, and the empirical mode decomposition method are first introduced to exploration of ultrafast dynamics. Among these TF methods, the synchrosqueezing transform successfully illustrates the physical mechanisms in the multiphoton ionization regime and in the tunneling ionization regime. Furthermore, an empirical procedure to analyze an unknown complicated quantum system is provided, indicating the versatility of TF analysis as a new viable venue for exploring quantum dynamics.
TUC: Time-sensitive and Modular Analysis of Anonymous Communication
International Association for Cryptologic Research (IACR)
. Our analysis relies on a formalization of the onion routing protocol that underlies Tor and proves@cs.uni-saarland.de mohammadi@cs.uni-saarland.de February 12, 2014 Abstract The anonymous communication protocol Tor constitutes of these frameworks, however, are capable of modeling the class of traffic-related timing attacks against Tor
Time-frequency analysis and Harmonic Gaussian Functions
Tokiniaina Ranaivoson; Raoelina Andriambololona; Rakotoson Hanitriarivo
2013-08-08
A method for time-frequency analysis is given. The approach utilizes properties of Gaussian distribution, properties of Hermite polynomials and Fourier analysis. We begin by the definitions of a set of functions called harmonic Gaussian functions. Then these functions are used to define a set of transformations,noted T_n, which associate to a function {\\psi},of the time variable t, a set of functions {\\Psi}_n which depend on time, frequency and frequency (or time) standard deviation. Some properties of the transformations T_n and the functions {\\Psi}_n are given. It is proved in particular that the square of the modulus of each function {\\Psi}_n can be interpreted as a representation of the energy distribution of the signal, represented by the function {\\psi}, in the time-frequency plane for a given value of the frequency (or time) standard deviation. It is also shown that the function {\\psi}, can be recovered from the functions{\\Psi}_n.
Timing analysis of logic=level digital circuits using uncertainty intervals
Bell, Joshua Asher
1996-01-01
Timing Analysis of Logic-Level Digital Circuits Using Competitive design of modem digital circuits requires high performance at reduced cost and time-to-market. Timing analysis is increasingly used to deal with the more aggressive timing constraints...
Dobson, Ian [University of Wisconsin, Madison; Carreras, Benjamin A [ORNL; Lynch, Vickie E [ORNL; Newman, David E [University of Alaska
2007-01-01
We give an overview of a complex systems approach to large blackouts of electric power transmission systems caused by cascading failure. Instead of looking at the details of particular blackouts, we study the statistics and dynamics of series of blackouts with approximate global models. Blackout data from several countries suggest that the frequency of large blackouts is governed by a power law. The power law makes the risk of large blackouts consequential and is consistent with the power system being a complex system designed and operated near a critical point. Power system overall loading or stress relative to operating limits is a key factor affecting the risk of cascading failure. Power system blackout models and abstract models of cascading failure show critical points with power law behavior as load is increased. To explain why the power system is operated near these critical points and inspired by concepts from self-organized criticality, we suggest that power system operating margins evolve slowly to near a critical point and confirm this idea using a power system model. The slow evolution of the power system is driven by a steady increase in electric loading, economic pressures to maximize the use of the grid, and the engineering responses to blackouts that upgrade the system. Mitigation of blackout risk should account for dynamical effects in complex self-organized critical systems. For example, some methods of suppressing small blackouts could ultimately increase the risk of large blackouts.
Reliability analysis of electric power systems including time dependent sources
Kim, Younjong
1987-01-01
Chairman of Advisory Committee: Chanan Singh A method for reliability analysis of electric power systems with time dependent sources, such as photovoltaic and wind generation, is introduced. The fluctuating characteristic of unconventional generation... and active solar. wind, geothermal, and hydropower. Of all the renewable energy technologies that have been the focus of encouraging government and private R k D efforts, photovoltaic generation and wind turbine generation appear to be the leading...
WELFARE ANALYSIS USING LOGSUM DIFFERENCES VS. RULE OF1 HALF: A SERIES OF CASE STUDIES2
Kockelman, Kara M.
, Architectural and Environmental Engineering12 The University of Texas at Austin13 kkockelm@mail.utexas.edu14 to estimate26 consumer surplus in transport economics. As a traditional and relatively straightforward (and27 potentially more robust) procedure, RoH has been widely used in project investment and policy28 analysis
Real-Time Forcast Model Analysis of Daily Average Building Load for a Thermal Storage System Control
Song, L.; Joo, I. S.; Guwana, S.
2009-01-01
methods for real-time forecasting of building electrical demand, ASHRAE Transaction vol.97(1):710-721 D.C. Montgomery, C. L. Jennings, M. Kulahci. 2007. Introduction to time series analysis and forecasting, ISBN 978-0-471-65397-4. L Ljung, T. S...?derstr?m, 1987, Theory and application of recursive identification, ISBN 978-0-262-12095-1 ESL-IC-09-11-03 Proceedings of the Ninth International Conference for Enhanced Building Operations, Austin, Texas, November 17 - 19, 2009 ...
Finite-time thermodynamic analysis of the Stirling engine
Ibrahim, O.M.; Ladas, H.G.
1995-12-31
This paper presents a finite-time thermodynamic analysis of the Stirling engine cycle. A lumped-parameter thermodynamic model is used to describe the dynamic behavior of the Stirling engine. The mathematical formulation of this model is based on mass and energy balances with associated heat transfer rate equations. These governing equations are formulated into a set of ordinary differential equations, which are then solved numerically to obtain the dynamic behavior of the Stirling engine. Close inspection of the governing equations reveals that the time to complete on cycle, {tau} and the engine time constant, {tau}{sub c} always appear together in a dimensionless ratio. This ratio, {tau}/{tau}{sub c}, is defined here as the Finite-Time Parameter, FTP. The effects of FTP upon power output and efficiency, are studied. The results show that there exists an optimum power output for a given engine design, based on engine speed and heat-transfer contact time. The results also provide an engineering evaluation procedure to improve the efficiency and power output of Stirling engines.
Toward Real Time Data Analysis for Smart Grids
Yin, Jian; Gorton, Ian; Sharma, Poorva
2012-11-10
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 PNNLs FPGI and show that our system can provide real time guarantees to a diverse set of applications.
Mark W. Coffey
2008-12-09
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.
Kalueff, Allan V.
analysis. Use in connection with any form of information storage and retrieval, electronic adaptation Science + Business Media made a renewed commitment to this series. The new program will focus on methods
Wang, Ruofan; Wang, Jiang; Deng, Bin Liu, Chen; Wei, Xile; Tsang, K. M.; Chan, W. L.
2014-03-15
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.
Time-frequency analysis of synthetic aperture radar signals
Johnston, B.
1996-08-01
Synthetic aperture radar (SAR) has become an important tool for remote sensing of the environment. SAR is a set of digital signal processing algorithms that are used to focus the signal returned to the radar because radar systems in themselves cannot produce the high resolution images required in remote sensing applications. To reconstruct an image, several parameters must be estimated and the quality of output image depends on the degree of accuracy of these parameters. In this thesis, we derive the fundamental SAR algorithms and concentrate on the estimation of one of its critical parameters. We show that the common technique for estimating this particular parameter can sometimes lead to erroneous results and reduced quality images. We also employ time-frequency analysis techniques to examine variations in the radar signals caused by platform motion and show how these results can be used to improve output image quality.
MacDonell, M M; Peterson, J M
1989-05-01
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.
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; Gilbert, Bob; Lake, Larry W.; Weiss, Chester Joseph; Lorenz, John Clay; Elbring, Gregory Jay; Wheeler, Mary Fanett; Thomas, Sunil G.; Rightley, Michael J.; Rodriguez, Adolfo; Klie, Hector; Banchs, Rafael; Nunez, Emilio J.; Jablonowski, Chris
2006-11-01
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.
Towards Interactive Timing Analysis for Designing Reactive Systems
: Medium: Timing Centric Software), and #0931843 (ActionWebs), the Naval Research Laboratory (NRL #N0013- action Time, Synchronous Languages, Precision Timed Machines, Sequential Constructiveness 1 Introduction reactive systems. Such systems typically interact with the physical environment by sensing, performing
Controller Failure Time Analysis for Symmetric H Control Systems Guisheng ZHAI
Antsaklis, Panos
Controller Failure Time Analysis for Symmetric H Control Systems Guisheng ZHAI Department of Opto a controller failure time analysis problem for a class of symmetric linear time-invariant (LTI) systems properties for the entire system. Our objective is to find conditions concerning controller failure time
Zhang, Q.; Li, D.; Zhang, J.
2006-01-01
-conditioning system of variable frequency technology can achieve the effect of energy conservation. In this article, we analyze the application of the VRV air conditioning system heat recovery series in the construction inner zone and its energy saving characteristics...
A time and frequency domain analysis of contrarian trading strategies/
Chaudhuri, Shomesh E
2014-01-01
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 ...
Forward Analysis of Updatable Timed Automata Patricia BOUYER
Doyen, Laurent
, widening operator, correctness, data structure 1 Introduction Real-Time Systems. Since their introduction by Alur and Dill in [AD90,AD94], timed automata are one of the most studied models for real-time systems94], minimiza- tion [ACD+ 92], power of clocks [ACH94,HKWT95], power of -transitions [BDGP98
Forward Analysis of Updatable Timed Automata Patricia B#####
Doyen, Laurent
, widening operator, correctness, data structure 1 Introduction RealTime Systems. Since their introduction by Alur and Dill in [AD90,AD94], timed automata are one of the most studied models for realtime systems [AFH94], minimiza tion [ACD + 92], power of clocks [ACH94,HKWT95], power of #transitions [BDGP98
NREL: Awards and Honors - Real-Time Biomass Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
and saves trees from being prematurely harvested. The key to RTBA is the use of multivariate analysis to calibrate the near-infrared spectrometry to the specific parameters...
Real Time Analysis of Thermal Activation via Sphaleron Transitions
D. Boyanovsky; C. A. de Carvalho
1993-06-07
We study the process of thermal activation mediated by sphaleron transitions by analyzing the real-time dynamics of the decay out of equilibrium in a $1+1$ dimensional field theory with a metastable state. The situation considered is that of a rapid supercooling in which the system is trapped in a metastable state at a temperature larger than the mass of the quanta, but smaller than the energy to create a critical droplet. The initial density matrix is evolved in time and the nucleation rate (probability current at the saddle point) is computed. The nucleation rate is {\\it time dependent}, vanishing at early times, reaching a maximum at a time $t \\approx 1/m$ with $m$ the mass of quanta in the metastable state, and decreasing at long times as a consequence of unitarity. An estimate for the average number of particles of ``true vacuum'' produced as a function of time during the nucleation process is obtained.
Requirements Analysis of Real-Time Control Systems using PVS Bruno Dutertre Victoria Stavridou
Dutertre, Bruno
Requirements Analysis of Real-Time Control Systems using PVS Bruno Dutertre Victoria Stavridou and theorem proving in requirement analysis of real- time control systems. A major part of this work involved an experiment applying the PVS theorem prover to the analysis of an avionics control system. The case study
Spectral analysis of finite-time correlation matrices near equilibrium phase transitions
Vinayak; T. Prosen; B. Buca; T. H. Seligman
2014-11-20
We study spectral densities for systems on lattices, which, at a phase transition display, power-law spatial correlations. Constructing the spatial correlation matrix we prove that its eigenvalue density shows a power law that can be derived from the spatial correlations. In practice time series are short in the sense that they are either not stationary over long time intervals or not available over long time intervals. Also we usually do not have time series for all variables available. We shall make numerical simulations on a two-dimensional Ising model with the usual Metropolis algorithm as time evolution. Using all spins on a grid with periodic boundary conditions we find a power law, that is, for large grids, compatible with the analytic result. We still find a power law even if we choose a fairly small subset of grid points at random. The exponents of the power laws will be smaller under such circumstances. For very short time series leading to singular correlation matrices we use a recently developed technique to lift the degeneracy at zero in the spectrum and find a significant signature of critical behavior even in this case as compared to high temperature results which tend to those of random matrix models.
Unfolding of time Petri nets for quantitative time analysis Medesu Sogbohossou and David Delfieu
Paris-Sud XI, Universit de
are interesting formalism with expressing power of true parallelism or concurrency in discrete events systems. Time Petri nets (TPN) [1] are timed extension often used to modelize realtime systems. Thanks://www.irccyn.ec-nantes.fr Abstract. The verification of properties on a Time Petri net is often based on the state class graph
Pyrtle, Frank
1999-01-01
The effect that the modeling of the wicking limitation of the capillary structure in the liquid return artery of an AMTEC PX-SB series cell has on cell performance was investigated. Preliminary evaluation of an AMTEC PX-SB computational model...
Dating Concurrent Objects: Real-Time Modeling and Schedulability Analysis
Johnsen, Einar Broch
. This research is partly funded by the EU projects IST-33826 CREDO: Modeling and Analysis of Evolutionary Structures for Distributed Services (http://credo.cwi.nl) and FP7-231620 HATS: Highly Adaptable and Trust
Transit light curves with finite integration time: Fisher information analysis
Price, Ellen M.; Rogers, Leslie A.
2014-10-10
Kepler has revolutionized the study of transiting planets with its unprecedented photometric precision on more than 150,000 target stars. Most of the transiting planet candidates detected by Kepler have been observed as long-cadence targets with 30 minute integration times, and the upcoming Transiting Exoplanet Survey Satellite will record full frame images with a similar integration time. Integrations of 30 minutes affect the transit shape, particularly for small planets and in cases of low signal to noise. Using the Fisher information matrix technique, we derive analytic approximations for the variances and covariances on the transit parameters obtained from fitting light curve photometry collected with a finite integration time. We find that binning the light curve can significantly increase the uncertainties and covariances on the inferred parameters when comparing scenarios with constant total signal to noise (constant total integration time in the absence of read noise). Uncertainties on the transit ingress/egress time increase by a factor of 34 for Earth-size planets and 3.4 for Jupiter-size planets around Sun-like stars for integration times of 30 minutes compared to instantaneously sampled light curves. Similarly, uncertainties on the mid-transit time for Earth and Jupiter-size planets increase by factors of 3.9 and 1.4. Uncertainties on the transit depth are largely unaffected by finite integration times. While correlations among the transit depth, ingress duration, and transit duration all increase in magnitude with longer integration times, the mid-transit time remains uncorrelated with the other parameters. We provide code in Python and Mathematica for predicting the variances and covariances at www.its.caltech.edu/?eprice.
Practical Timing Analysis of Asynchronous Systems Using Time Separation of Events \\Lambda
Chakraborty, Supratik
separations between appropriate events. Separations between all rele vant pairs of events are computed between appropriate events in the timing constraint graph. Separations between all rele vant pairs
Quantitative analysis of real-time systems using priced timed automata
Doyen, Laurent
Aalborg Universitet 9220 Aalborg ? Denmark The problems of time-dependent behavior in general- tional key quantities include energy and mem- ory consumption, in communication networks required band for a given production are crucial quantities. The extended notion of priced or weighted timed automata has
The arrow of time, complexity and the scale free analysis
Dhurjati Prasad Datta; Santanu Raut
2010-01-10
The origin of complex structures, randomness, and irreversibility are analyzed in the scale free SL(2,R) analysis, which is an extension of the ordinary analysis based on the recently uncovered scale free $C^{2^n-1}$ solutions to linear ordinary differential equations. The role of an intelligent decision making is discussed. We offer an explanation of the recently observed universal renormalization group dynamics at the edge of chaos in logistic maps. The present formalism is also applied to give a first principle explanation of 1/$f$ noise in electrical circuits and solid state devices. Its relevance to heavy tailed (hyperbolic) distributions is pointed out.
Contreras, R.; Catelan, M.; Smith, H. A.; Kuehn, C. A.; Pritzl, B. J.; Borissova, J.
2010-12-15
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.
REAL TIME FEATURE EXTRACTION FOR THE ANALYSIS OF TURBULENT FLOWS
Interrante, Victoria
great unsolved problem in classical physics, and all efforts to develop models to predict turbulent techniques, terabyte scale data sets are being generated, and hence stor- age as well as analysis include flow over aircraft, spacecraft, and other transport vehicles, flow inside of engines and power
Continuous time analysis of fleeting discrete price moves Neil Shephard
Wolfe, Patrick J.
) a high proportion of price changes are reversed in a fraction of a second. Our model is analytically`adl`ag price process is a piecewise constant semimartingale with finite activity, finite variation change in continuous time; (iii) a high proportion of price changes are fleeting, reversed in a fraction
Timing Analysis & Optimization for Multi-Level Networks
Kalla, Priyank
, slack @ k = +ve slack, -ve slack Topologically longest path "timing critical", hence critical path A Critical Paths True critical paths (on which signal propagates) Optimize true critical paths, don't want to optimize a path w/ less delay and ignore one w/ larger delay Don't want to identify FALSE
Runway Occupancy Time Extraction and Analysis Using Surface Track Data
Vkumar3@gmu.edu lsherry@gmu.edu Rafal Kicinger kicinger@metronaviation.com Center for Air Transportation's runway occupancy time would add another 1-1.5 movements per hour [at London47 #12;3 Heathrow]' [7] [2
Finite time analysis of an endoreversible fuel cell A. Vaudrey
Paris-Sud XI, Universit de
characterized by a maximum-power efficiency. Keywords : Fuel cell ; Heat engine ; Efficiency ; Finite time's thermodynamical efficiency limitation for fuel cells, i. e. the fundamental difference beetween an electrochemical-validity of the Carnot efficiency to analyse fuel cell performances do not prevent us to com- pare it with heat engine
Reverse Auction Bidding-Bid Time Intervals Analysis
Xiao, Mengyan
2015-05-11
the computer is bidding during the segment 1 of each section, it shall randomly select from 2 seconds to 23 seconds as its time-intervals. Rule 2, when the computer is bidding during the segment 2 of each section, it shall randomly select from 2 seconds to 9...
Showalter, Kenneth
developments and experimental applications of feedback control to nonlinear dynamical systems [211]. Recent of Dynamical Systems from Time Series Valery Petrov and Kenneth Showalter* Department of Chemistry, West of multidimensional, nonlinear single-input single-output systems is formulated in terms of an invariant hypersurface
Linear Compositional Delay Model for the Timing Analysis of Sub-Powered Combinational Circuits
Linear Compositional Delay Model for the Timing Analysis of Sub-Powered Combinational Circuits the propagation delay through nanometer CMOS circuits is highly desirable. Statistical Static Timing Analysis to accurately capture the circuit behaviour. In view of this we introduce an Inverse Gaussian Distribution (IGD
SIMULATION-BASED ANALYSIS OF TIMED REBECA USING TEPROP AND SQL
Karlsson, Brynjar
SIMULATION-BASED ANALYSIS OF TIMED REBECA USING TEPROP AND SQL Brynjar Magnsson Master of Science 1670-8539 #12;#12;Simulation-based Analysis of Timed Rebeca using TeProp and SQL by Brynjar Magnsson using TeProp and SQL Brynjar Magnsson June 2012 Abstract As software systems get larger, more complex
TSV Stress Aware Timing Analysis with Applications to 3D-IC Layout Optimization
Lim, Sung Kyu
TSV Stress Aware Timing Analysis with Applications to 3D-IC Layout Optimization Jae-Seok Yang, Krit TSV fill material is copper which causes tensile stress on sil- icon near TSV. In this paper, we propose systematic TSV stress aware timing analysis and show how to optimize lay- out for better
Parameters Covariance in Neutron Time of Flight Analysis Explicit Formulae
Odyniec, M.; Blair, J.
2014-12-01
We present here a method that estimates the parameters variance in a parametric model for neutron time of flight (NToF). The analytical formulae for parameter variances, obtained independently of calculation of parameter values from measured data, express the variances in terms of the choice, settings, and placement of the detector and the oscilloscope. Consequently, the method can serve as a tool in planning a measurement setup.
Analysis of Femtosecond Timing Noise and Stability in Microwave Components
Whalen, Michael R.; /Stevens Tech. /SLAC
2011-06-22
To probe chemical dynamics, X-ray pump-probe experiments trigger a change in a sample with an optical laser pulse, followed by an X-ray probe. At the Linac Coherent Light Source, LCLS, timing differences between the optical pulse and x-ray probe have been observed with an accuracy as low as 50 femtoseconds. This sets a lower bound on the number of frames one can arrange over a time scale to recreate a 'movie' of the chemical reaction. The timing system is based on phase measurements from signals corresponding to the two laser pulses; these measurements are done by using a double-balanced mixer for detection. To increase the accuracy of the system, this paper studies parameters affecting phase detection systems based on mixers, such as signal input power, noise levels, temperature drift, and the effect these parameters have on components such as the mixers, splitters, amplifiers, and phase shifters. Noise data taken with a spectrum analyzer show that splitters based on ferrite cores perform with less noise than strip-line splitters. The data also shows that noise in specific mixers does not correspond with the changes in sensitivity per input power level. Temperature drift is seen to exist on a scale between 1 and 27 fs/{sup o}C for all of the components tested. Results show that any components using more metallic conductor tend to exhibit more noise as well as more temperature drift. The scale of these effects is large enough that specific care should be given when choosing components and designing the housing of high precision microwave mixing systems for use in detection systems such as the LCLS. With these improvements, the timing accuracy can be improved to lower than currently possible.
Characterization of Cardio signals by time-frequency domain analysis
Sayan Mukherjee; Sanjay Kumar Palit; Santo Banerjee; MRK Ariffin; Lamberto Rondoni; Dilip Kumar Bhattacharya
2014-09-04
Long term behavior of nonlinear deterministic continuous time signals can be studied in terms of their reconstructed attractors. Reconstructed attractors of a continuous signal are meant to be topologically equivalent representations of the dynamics of the unknown dynamical system which generates the signal. Sometimes, geometry of the attractor or its complexity may give important information on the system of interest. However, if the trajectories of the attractor behave as if they are not coming from continuous system or there exists many spike like structures on the path of the system trajectories, then there is no way to characterize the shape of the attractor. In this article, the traditional attractor reconstruction method is first used for two types of ECG signals: Normal healthy persons (NHP) and Congestive Heart failure patients (CHFP). As common in such a framework, the reconstructed attractors are not at all well formed and hence it is not possible to adequately characterize their geometrical features. Thus, we incorporate frequency domain information to the given time signals. This is done by transforming the signals to a time frequency domain by means of suitable Wavelet transforms (WT). The transformed signal concerns two non homogeneous variables and is still quite difficult to use to reconstruct some dynamics out of it. By applying a suitable mapping, this signal is further converted into integer domain and a new type of 3D plot, called integer lag plot, which characterizes and distinguishes the ECG signals of NHP and CHFP, is finally obtained.
Translation invariant time-dependent massive gravity: Hamiltonian analysis
Mourad, Jihad; Steer, Danile A.; Noui, Karim E-mail: karim.noui@lmpt.univ-tours.fr
2014-09-01
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.
Analysis of allowed outage times at the Byron Generating Station
Cho, N.Z.; Chu, T.L.; Xue, D.; Bozoki, G.E.; Youngblood, R.W.
1986-06-01
This report provides a critical review of the methods used in WCAP-10526 which proposed that allowed outage times (AOTs) for a number of safety systems in the Byron Generating Station be increased from 3 to 7 days, and presents an independent estimate of the change in risk involved in the AOT extension. It also presents results of several sensitivity studies. Also included are a survey of methods that can be used to evaluate nuclear power plant technical specifications and a description of pairwise importance measures. 53 tabs.
Analysis of digital timing methods with DRS4 board
Du, Cheng-Ming; Yang, Hai-Bo; Cheng, Ke; Zhang, Xiu-Ling; Xu, Hu-Shan; Hu, Zheng-Guo; Sun, Zhi-Yu
2015-01-01
Digital Pulse Processing (DPP) modules are being used to replace the analog electronics modular in modern physics experiments for processing the original signals from detectors. A new DPP modules based on domino ring sampler version 4 (DRS4) and multiple methods for processing arrival times are presented in this paper. In the experiments, the detectors were irradiated with 511keV gama ray from a 22Na source.The detectors consitsts of LaBr3 scintillators and XP20D0 Photomultiplier Tubes(PMTs), and the acquiring system was a 8+1 channels DRS4 board.Multiple DPP including (1)leading-edge discrimination, (2)constant-fraction zero-crossing discrimination and (3)digital constant fraction discrimination were inverstigated. The best time resolution is 194.7ps FWHM, obtained by constant fraction discrimination method, which is better than the other DPP methods and the traditional analog systems using the same detectors. The DRS4 board and DPP methods can be applied to supplement positron emission tomography (PET) with...
Timing analysis for 20 millisecond pulsars in the Parkes Pulsar Timing Array
Reardon, D J; Coles, W; Levin, Y; Keith, M J; Bailes, M; Bhat, N D R; Burke-Spolaor, S; Dai, S; Kerr, M; Lasky, P D; Manchester, R N; Os?owski, S; Ravi, V; Shannon, R M; van Straten, W; Toomey, L; Wang, J; Wen, L; You, X P; Zhu, X -J
2015-01-01
We present timing models for 20 millisecond pulsars in the Parkes Pulsar Timing Array. The precision of the parameter measurements in these models has been improved over earlier results by using longer data sets and modelling the non-stationary noise. We describe a new noise modelling procedure and demonstrate its effectiveness using simulated data. Our methodology includes the addition of annual dispersion measure (DM) variations to the timing models of some pulsars. We present the first significant parallax measurements for PSRs J1024-0719, J1045-4509, J1600-3053, J1603-7202, and J1730-2304, as well as the first significant measurements of some post-Keplerian orbital parameters in six binary pulsars, caused by kinematic effects. Improved Shapiro delay measurements have resulted in much improved pulsar mass measurements, particularly for PSRs J0437-4715 and J1909-3744 with $M_p=1.44\\pm0.07$ $M_\\odot$ and $M_p=1.47\\pm0.03$ $M_\\odot$ respectively. The improved orbital period-derivative measurement for PSR J043...
Stanley, H. Eugene
2015-01-01
coefficients and use them to extract the intrinsic cross correlation between crude oil and gold futures
Lin, Paul M.; Crawford, Michael H.
1983-02-01
During the last century, a number of epidemics have swept across the world causing similar mortality peaks in diverse human populations. In particular, the effects of the influenza epidemic of 1918 can be seen in urban and ...
Linear and nonlinear time series analysis of the black hole candidate Cygnus X-1 Jens Timmer,1
Timmer, Jens
Schwarz,2 Henning U. Voss,2 Ingo Wardinski,2 Tomaso Belloni,3 Gunther Hasinger,4 Michael van der Klis,3, Germany Received 16 July 1999 We analyze the variability in the x-ray lightcurves of the black hole
Dominici, Francesca
of the mortality and morbidity air pollution effects are 0.42 (95% interval 0.05, 1.18), and 0.31 (95% interval 0 relative rate, Air pollution. Francesca Dominici, Scott L. Zeger, Department of Biostatistics, Jonathan M The potential for air pollution at high concentrations to cause excess deaths and morbidity was firmly establis
Vermont, University of
and agriculture, including changes in carbon and nitrogen storage, trace gas emissions, quality of surface water from natural vegetation and pastures to row-crop agricultural with the potential to affect regional changed. Today, pastures and areas of natural vegetation are being converted to large-scale croplands
Sinha, Tushar
snowmelt events (Kane and Chacho 1990). Studies indicate that seasonal infiltration is inversely related to the reduction in infiltration and an increase in runoff response, resulting in a greater potential for soil affect various hydrologic processes. In this study, the authors test for the presence of significant
Operational Analysis of Timed Petri Nets and Application to the Computation of Performance Bounds
Chiola, Giovanni
networks were al ready proven to hold in stochastic Petri net models. In this paper we derive, under muchOperational Analysis of Timed Petri Nets and Application to the Computation of Performance Bounds G the behaviour of timed Petri nets un der very weak assumptions on their timing semantics. New operational
Transient Analysis of Networks of Stochastic Timed Automata using Stochastic State Classes
Horváth, András
Transient Analysis of Networks of Stochastic Timed Automata using Stochastic State Classes Paolo distributed sojourn times. In this paper, we introduce Networks of Stochastic Timed Automata (NSTA), where classes of Stochastic Petri Nets (SPNs) with generally distributed transitions. In general, the underlying
Time autocorrelation function analysis of master equation and its application to atomic clusters
Berry, R. Stephen
Time autocorrelation function analysis of master equation and its application to atomic clusters the energy fluctuation 2 E, and the time autocorrelation and its Fourier transformation--the fluctuation in the relaxation processes. The time scales associated with these relaxation processes are determined
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@tum.de Abstract--In this paper, we propose a new real-time retail pricing model characterized by ex and robustness properties than pure exante pricing. Index Terms--Real-Time Pricing, Market Stability, Economic
Modeling and Analysis of Detection Time Trade-offs for Channel Searching in Cognitive
Roy, Sumit
and correlated channel model. We then highlight a key trade-off underlying the overall mean time to detect a free1 Modeling and Analysis of Detection Time Trade-offs for Channel Searching in Cognitive Radio, search scheme, sensing trade-off, optimal detection time. I. INTRODUCTION Large segments of the radio
Shifting Preferences and Time-Varying Parameters in Demand Analysis: A Monte Carlo Study
Kanyama, Isaac Kalonda
2011-05-31
Using Monte Carlo experiments, I address two issues in demand analysis. The first relates to the performance of local flexible functional forms in recovering the time-varying elasticities of a true model, and in correctly identifying goods...
ProtEx: a toolkit for the analysis of distributed real-time systems
Meylan, Yves Damien Meylan
2000-01-01
Large-scale distributed real-time systems are increasingly difficult to analyze within the Rate Monotonic Analysis (RMA) framework. This is due partly to their heterogeneity, complex interaction between components, and the ...
Cranston, Stacy Eugene
1975-01-01
THE APPLICATION OF SMALL AMPLITUDE SQUARE BOOT OF TIME POTENTIAL PULSES IN ELECTROCHEMICAL TRACE ANALYSIS A Thesis by STACY EUGENE CRANSTON Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirement... for the degree of MASTER OF SCIENCE December 1975 Ma]or Sub)ect: Chemistry THE APPLICATION OF SMALL AMPLITUDE SQUARE ROOT OF TIME POTENTIAL PULSES IN ELECTROCHEMICAL TRACE ANALYSIS A Thesis STACY EUGENE CRANSTON Approved as to style and content by...
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 and ways to model and analyze it is given in [23]. Other tools and methodologies for functional noise analysis are proposed in [19], [10] and [1]. Special circuit modeling techniques to asses global noise
JLA Journal of Legal Analysis Ho, Quinn, Did a Switch in Time Save Nine?
Kammen, Daniel M.
JLA Journal of Legal Analysis Ho, Quinn, Did a Switch in Time Save Nine? Winter 2010: Volume 2, Number 1 This online journal is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported License http://jla.hup.harvard.edu #12;Winter 2010: Volume 2, Number 1 ~ Journal of Legal Analysis
Hull/mooring/riser coupled dynamic analysis of a floating platform in time domain
Zheng, Weizhong
2000-01-01
Nonlinear coupled dynamic analysis of a moored truss spar in waves with collinear winds and currents is numerically carried out in the time domain and the results are compared with those from 1:61 scale experiments and a quasi-static analysis...
Fundamenta Informaticae XX (2008) 1--33 1 Universality Analysis for OneClock Timed Automata
Ouaknine, Joël
2008-01-01
popular models for specification and analysis of real time systems. An execution of such an automaton can by Alur and Dill [10], timed automata have been used as the foundation for several verification algorithms, with reduced expressive power, for which universality (or the more general problem of language inclusion
Camassa, Roberto
Analysis of passive scalar advection in parallel shear flows: Sorting of modes at intermediate time; published online 4 November 2010 The time evolution of a passive scalar advected by parallel shear flows. INTRODUCTION The advection-diffusion of a passive scalar is a pivotal problem in mathematical physics
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
Modeling and Analysis of Load and Time Dependent Software Rejuvenation Policies
Telek, Mikls
divided into design, coding and test ing phase. Traditionally, software quality improve mentModeling and Analysis of Load and Time Dependent Software Rejuvenation Policies S. Garg 1 , A running clientserver type software systems by many clients, such software ``ages'' with time
Sanquist, Thomas F.; Greitzer, Frank L.; Slavich, Antoinette L.; Littlefield, Rik J.; Littlefield, Janis S.; Cowley, Paula J.
2004-09-28
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.
Analysis of core uncovery time in Kuosheng station blackout transient with MELCOR
Wang, S.J.; Chien, C.S. [Inst. of Nuclear Energy Research, Lungtan (Taiwan, Province of China)
1996-02-01
The MELCOR code, developed by the Sandia National Laboratories, is capable of simulating severe accident phenomena of nuclear power plants. Core uncovery time is an important parameter in the probabilistic risk assessment. However, many MELCOR users do not generate the initial conditions in a station blackout (SBO) transient analysis. Thus, achieving reliable core uncovery time is difficult. The core uncovery time for the Kuosheng nuclear power plant during an SBO transient is analyzed. First, full-power steady-state conditions are generated with the application of a developed self-initialization algorithm. Then the response of the SBO transient up to core uncovery is simulated. The effects of key parameters including the initialization process and the reactor feed pump (RFP) coastdown time on the core uncovery time are analyzed. The initialization process is the most important parameter that affects the core uncovery time. Because SBO transient analysis, the correct initial conditions must be generated to achieve a reliable core uncovery time. The core uncovery time is also sensitive to the RFP coastdown time. A correct time constant is required.
Java Virtual-Machine Support for Portable Worst-Case Execution-Time Analysis I. Bate, G. Bernat
Java Virtual-Machine Support for Portable Worst-Case Execution-Time Analysis I. Bate, G. Bernat@vmars.tuwien.ac.at Abstract The current trend towards the usage of Java in real-time, supported by two specifications (Real-Time Java and Real- Time Core extensions for the Java platform) requires ade- quate schedulability analysis
Finite-time Lyapunov stability analysis and its application to atmospheric predictability
Yoden, Shigeo; Nomura, Masako (Kyoto Univ. (Japan))
1993-06-01
Finite-time Lyapunov stability, analysis is reviewed and applied to a low-order spectral model of barotropic flow in a midlatitude [beta] channel. The tangent linear equations of the model are used to investigate the growth of small perturbations superposed on a reference solution for a prescribed time interval. Three types of reference solutions of the model, stationary, periodic, and chaotic, are investigated to demonstrate usefulness of the analysis in the study of the atmospheric predictability problem. The finite-time Lyapunov exponents, which give the growth rate of small perturbations, depend upon the reference solution as well as the preturbation for time interval. The finite-time Lyapunov vector corresponding to the largest Lyapunov exponent gives the streamfunction field of the fastest growing perturbation for the time interval. In the case of the chaotic reference solution, the streamfunction field has large amplitudes in limited areas for a small time interval. The areas of the large perturbation growth have some relation to the reference streamfunction field. A possible application of the finite-time Lyapunov exponents and vectors to the atmospheric predictability problem is discussed. These quantities might be used as several forecast measures of the time-dependent predictability in numerical weather predictions. 29 refs., 14 figs.
Wehlau, David
Math 421 Fourier Series Autumn 2006 Text: Fourier Series, by Rajendra Bhatia, Math. Assoc. of America, 2005. Topics Covered: Ch. 1, Fourier series and the heat equation Ch. 2, Convergence of Fourier series Ch. 3, Sine and cosine series, arbitrary pe- riods, sin(x)/x, Gibbs's phenomenon Ch. 4
Fourier Series and Integrals Fourier Series
Mehta, Pankaj
Fourier Series and Integrals Fourier Series Let f(x) be a piecewise linear function on [-L, L(x) can be expanded in a Fourier series f(x) = a0 2 + n=1 an cos nx L + bn sin nx L , (1a) or schematic form of the Fourier series is f(x) = n (an^cn + bn^sn). (2) This emphasizes that the Fourier
Towards a Scalable and Reliable Real Time In-Network Data Analysis Infrastructure
Ciraci, Selim; Yin, Jian
2011-12-01
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.
Widen, Joakim; Waeckelgaard, Ewa; Paatero, Jukka; Lund, Peter
2010-03-15
The trend of increasing application of distributed generation with solar photovoltaics (PV-DG) suggests that a widespread integration in existing low-voltage (LV) grids is possible in the future. With massive integration in LV grids, a major concern is the possible negative impacts of excess power injection from on-site generation. For power-flow simulations of such grid impacts, an important consideration is the time resolution of demand and generation data. This paper investigates the impact of time averaging on high-resolution data series of domestic electricity demand and PV-DG output and on voltages in a simulated LV grid. Effects of 10-minutely and hourly averaging on descriptive statistics and duration curves were determined. Although time averaging has a considerable impact on statistical properties of the demand in individual households, the impact is smaller on aggregate demand, already smoothed from random coincidence, and on PV-DG output. Consequently, the statistical distribution of simulated grid voltages was also robust against time averaging. The overall judgement is that statistical investigation of voltage variations in the presence of PV-DG does not require higher resolution than hourly. (author)
A Real-Time Rodent Tracking System for Both Light and Dark Cycle Behavior Analysis
Motai, Yuichi
monitoring of rodent behavior in a home cage environment, either in a daylight condition (light-cycle) usingA Real-Time Rodent Tracking System for Both Light and Dark Cycle Behavior Analysis Jane Brooks Zurn-field locomotor activity under 880 nm and 940 nm wavelengths of NIR, as well as visible white light and a "dark
PERFORMANCE ANALYSIS OF INDUSTRIAL ETHERNET NETWORKS BY MEANS OF TIMED MODEL-CHECKING
Paris-Sud XI, Universit de
technologies in manufacturing automation but they have not been specifically intended for industrial controlPERFORMANCE ANALYSIS OF INDUSTRIAL ETHERNET NETWORKS BY MEANS OF TIMED MODEL-CHECKING Daniel Witsch networks are promising for the harmonization of the communication technologies in manufacturing automation
Time-domain Fatigue Response and Reliability Analysis of Offshore Wind Turbines with
Nrvg, 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 sector. Wind is one of the most rapidly growing renewable energy sources, as it is clean
Efficient Block-Based Parameterized Timing Analysis Covering All Potentially Critical Paths
Najm, Farid N.
Efficient Block-Based Parameterized Timing Analysis Covering All Potentially Critical Paths Khaled in the parameter space, by reporting all paths that can become critical. Using an efficient pruning algorithm, only) but by knowledge of the paths that can become critical at nearby points in parameter space. We give a formal
SAMPLE-PATH ANALYSIS OF THE PROPORTIONAL RELATION AND ITS CONSTANT FOR DISCRETE-TIME
Ishizaki, Fumio
SAMPLE-PATH ANALYSIS OF THE PROPORTIONAL RELATION AND ITS CONSTANT FOR DISCRETE-TIME SINGLE and c is a constant which is called proportional constant. We call such a relation the proportional relation. It has been shown that similar proportional relations also hold for some other queueing systems
Analysis of Competitive Electricity Markets under a New Model of Real-Time Retail Pricing with
Hirche, Sandra
Analysis of Competitive Electricity Markets under a New Model of Real-Time Retail Pricing with Ex loop system. Under this pricing mechanism, electricity is priced at the exante price (calculated based, dahleh, mitter}@mit.edu Siemens Corporate Technology, Munich, Germany dragan
Sievers, D.; Kuhn, E.; Tucker, M.; Stickel, J.; Wolfrum, E.
2013-06-01
Measurement and analysis of residence time distribution (RTD) data is the focus of this study where data collection methods were developed specifically for the pretreatment reactor environment. Augmented physical sampling and automated online detection methods were developed and applied. Both the measurement techniques themselves and the produced RTD data are presented and discussed.
International Association for Cryptologic Research (IACR)
inputs collected through a smart metering network. The main shortcomings of this solution are its environment whereby data is produced by a set of users that hold smart meters. Smart meters can report accurately at specific time intervals energy, gas or water consumption. Considering electricity consumption
An integrated, subsurface characterization system for real-time, in-situ field analysis
Baumgart, C.W.; Creager, J.; Mathes, J.; Pounds, T.; VanDeusen, A.; Warthen, B.
1996-02-01
This paper describes current efforts at AlliedSignal Federal Manufacturing and Technologies (FM and T) to develop and field an in-situ, data analysis platform to acquire, process, and display site survey data in near real-time. In past years, FM and T has performed a number of site survey tasks. Each of these surveys was unique in application as well as in the type of data processing and analysis that was required to extract and visualize useful site characterization information. However, common to each of these surveys were the following specific computational and operational requirements: (1) a capability to acquire, process, and visualize the site survey data in the field; (2) a capability to perform all processing in a timely fashion (ideally real-time); and (3) a technique for correlating (or fusing) data streams from multiple sensors. Two more general, but no less important, requirements include system architecture modularity and positioning capability. Potential applications include: survey, evaluation, and remediation of numerous Department of Defense and Department of Energy waste sites; real-time detection and characterization of unexploded ordnance and landmines; survey, evaluation, and remediation of industrial waste sites; location of underground utility lines; and providing law enforcement agencies with real-time surveys of crime scenes. The paper describes an integrated data acquisition, processing, and visualization platform that is capable of performing in-situ data processing, interpretation, and visualization in real-time.
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
Fuller, Stephen J.; Zhao, Yongjing; Cliff, Steven S.; Wexler, Anthony S.; Kalberer, Markus
2012-10-18
was assumed to be correct. Unfortunately due to the generally low peak intensities of the identified species MS-MS analysis for further structural identification was not possible. Only about 10-15% of the peaks contain a sulfur atom and are not further... 1 Direct surface analysis of time-resolved aerosol impactor samples with ultra-high resolution mass spectrometry Stephen J. Fuller 1, Yongjing Zhao2, Steven S. Cliff2, Anthony S. Wexler2, Markus Kalberer 1* 1 University of Cambridge, Department...
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)
2014-02-15
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)
2004-05-18
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.
Delay Time ConstantAnalysis for5 Optimization in RF Si/SiGeBipolar Devices
Ng, Wai Tung
Delay Time ConstantAnalysis for5 Optimization in RF Si/SiGeBipolar Devices I-S.M. Sun,H. E. Xu, R, the optimization of the SiGe epitaxial base, intrinsic collector and base doping profiles, and extrinsic collector restrict the degrees of freedom in device optimization. Furthermore, T S . M. Sun, H.E. Xu, R Tam and W. T
Time-cost analysis of a quantum key distribution system clocked at 100 MHz
Xiaofan Mo; Itzel Lucio Martinez; Philip Chan; Chris Healey; Steve Hosier; Wolfgang Tittel
2011-05-18
We describe the realization of a quantum key distribution (QKD) system clocked at 100 MHz. The system includes classical postprocessing implemented via software, and is operated over a 12 km standard telecommunication dark fiber in a real-world environment. A time-cost analysis of the sifted, error-corrected, and secret key rates relative to the raw key rate is presented, and the scalability of our implementation with respect to higher secret key rates is discussed.
Real-time data analysis at the LHC: present and future
Vladimir V. Gligorov
2015-09-21
The Large Hadron Collider (LHC), which collides protons at an energy of 14 TeV, produces hundreds of exabytes of data per year, making it one of the largest sources of data in the world today. At present it is not possible to even transfer most of this data from the four main particle detectors at the LHC to "offline" data facilities, much less to permanently store it for future processing. For this reason the LHC detectors are equipped with real-time analysis systems, called triggers, which process this volume of data and select the most interesting proton-proton collisions. The LHC experiment triggers reduce the data produced by the LHC by between 1/1000 and 1/100000, to tens of petabytes per year, allowing its economical storage and further analysis. The bulk of the data-reduction is performed by custom electronics which ignores most of the data in its decision making, and is therefore unable to exploit the most powerful known data analysis strategies. I cover the present status of real-time data analysis at the LHC, before explaining why the future upgrades of the LHC experiments will increase the volume of data which can be sent off the detector and into off-the-shelf data processing facilities (such as CPU or GPU farms) to tens of exabytes per year. This development will simultaneously enable a vast expansion of the physics programme of the LHC's detectors, and make it mandatory to develop and implement a new generation of real-time multivariate analysis tools in order to fully exploit this new potential of the LHC. I explain what work is ongoing in this direction and motivate why more effort is needed in the coming years.
Real-time data analysis at the LHC: present and future
Gligorov, Vladimir V
2015-01-01
The Large Hadron Collider (LHC), which collides protons at an energy of 14 TeV, produces hundreds of exabytes of data per year, making it one of the largest sources of data in the world today. At present it is not possible to even transfer most of this data from the four main particle detectors at the LHC to "offline" data facilities, much less to permanently store it for future processing. For this reason the LHC detectors are equipped with real-time analysis systems, called triggers, which process this volume of data and select the most interesting proton-proton collisions. The LHC experiment triggers reduce the data produced by the LHC by between 1/1000 and 1/100000, to tens of petabytes per year, allowing its economical storage and further analysis. The bulk of the data-reduction is performed by custom electronics which ignores most of the data in its decision making, and is therefore unable to exploit the most powerful known data analysis strategies. I cover the present status of real-time data analysis ...
Lewicki, Jennifer; Lewicki, J.L.; Fischer, M.L.; Hilley, G.E.
2007-10-15
CO{sub 2} and heat fluxes were measured over a six-week period (09/08/2006 to 10/24/2006) by the eddy covariance (EC) technique at the Horseshoe Lake tree kill (HLTK), Mammoth Mountain, CA, a site with complex terrain and high, spatially heterogeneous CO{sub 2} emission rates. EC CO{sub 2} fluxes ranged from 218 to 3500 g m{sup -2} d{sup -1} (mean = 1346 g m{sup -2} d{sup -1}). Using footprint modeling, EC CO{sub 2} fluxes were compared to CO{sub 2} fluxes measured by the chamber method on a grid repeatedly over a 10-day period. Half-hour EC CO{sub 2} fluxes were moderately correlated (R{sup 2} = 0.42) with chamber fluxes, whereas average-daily EC CO{sub 2} fluxes were well correlated (R{sup 2} = 0.70) with chamber measurements. Average daily EC CO{sub 2} fluxes were correlated with both average daily wind speed and atmospheric pressure; relationships were similar to those observed between chamber CO{sub 2} fluxes and the atmospheric parameters over a comparable time period. Energy balance closure was assessed by statistical regression of EC energy fluxes (sensible and latent heat) against available energy (net radiation, less soil heat flux). While incomplete (R{sup 2} = 0.77 for 1:1 line), the degree of energy balance closure fell within the range observed in many investigations conducted in contrasting ecosystems and climates. Results indicate that despite complexities presented by the HLTK, EC can be reliably used to monitor background variations in volcanic CO{sub 2} fluxes associated with meteorological forcing, and presumably changes related to deeply derived processes such as volcanic activity.
Specification and Analysis of the AER/NCA Active Network Protocol Suite in Real-Time Maude
?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
Cai, Y.; Tomlins, V.A.; Haskell, N.L.; Giffels, F.W.
1996-08-01
A database oriented technical analysis program (RT) utilizing a lumped parameter model combined with a finite difference method was developed to concurrently simulate transient temperatures in single or multiple room(s)/area(s). Analyses can be seen for postulated design basis events, such as, 10CFR50 Appendix-R, Loss of Coolant Accident concurrent with Loss of Offsite Power (LOCA/LOOP), Station BlackOut (SBO), and normal station operating conditions. The rate of change of the air temperatures is calculated by explicitly solving a series of energy balance equations with heat sources and sinks that have been described. For building elements with heat absorbing capacity, an explicit Forward Time Central Space (FTCS) model of one dimensional transient heat conduction in a plane element is used to describe the element temperature profile. Heat migration among the rooms/areas is considered not only by means of conduction but also by means of natural convection induced by temperature differences through openings between rooms/areas. The program also provides a means to evaluate existing plant HVAC system performance. The performance and temperature control of local coolers/heaters can be also simulated. The program was used to calculate transient temperature profiles for several buildings and rooms housing safety-related electrical components in PWR and BWR nuclear power plants. Results for a turbine building and reactor building in a BWR nuclear power plant are provided here. Specific calculational areas were defined on the basis of elevation, physical barriers and components/systems. Transient temperature profiles were then determined for the bounding design basis events with winter and summer outdoor air temperatures.
Arnold, Jonathan
Series Packages MASTERWORKS Atlanta Symphony Orchestra and Chorus September 20 Atlanta PACKAGE Includes all of the concerts on both the Masterworks and Classics series. Ten performances This package includes all of the events on the Show Biz and Celebrity Evenings series. Ten performances in all
Bryan, Samuel A.; Levitskaia, Tatiana G.; Schlahta, Stephan N.
2008-05-27
ABSTRACT A new monitoring system was developed at Pacific Northwest National Laboratory (PNNL) to quickly generate real-time data/analysis to facilitate a timely response to the dynamic characteristics of a radioactive high level waste stream. The developed process monitor features Raman and Coriolis/conductivity instrumentation configured for the remote monitoring, MatLab-based chemometric data processing, and comprehensive software for data acquisition/storage/archiving/display. The monitoring system is capable of simultaneously and continuously quantifying the levels of all the chemically significant anions within the waste stream including nitrate, nitrite, phosphate, carbonate, chromate, hydroxide, sulfate, and aluminate. The total sodium ion concentration was also determined independently by modeling inputs from on-line conductivity and density meters. In addition to the chemical information, this monitoring system provides immediate real-time data on the flow parameters, such as flow rate and temperature, and cumulative mass/volume of the retrieved waste stream. The components and analytical tools of the new process monitor can be tailored for a variety of complex mixtures in chemically harsh environments, such as pulp and paper processing liquids, electroplating solutions, and radioactive tank wastes. The developed monitoring system was tested for acceptability before it was deployed for use in Hanford Tank S-109 retrieval activities. The acceptance tests included performance inspection of hardware, software, and chemometric data analysis to determine the expected measurement accuracy for the different chemical species that are encountered during S-109 retrieval.
Bryan, S.; Levitskaia, T.; Schlahta, St. [Pacific Northwest National Laboratory, Richland, Washington (United States)
2008-07-01
A new monitoring system was developed at Pacific Northwest National Laboratory (PNNL) to quickly generate real-time data/analysis to facilitate a timely response to the dynamic characteristics of a radioactive high level waste stream. The developed process monitor features Raman and Coriolis/conductivity instrumentation configured for the remote monitoring, MatLab-based chemometric data processing, and comprehensive software for data acquisition/storage/archiving/display. The monitoring system is capable of simultaneously and continuously quantifying the levels of all the chemically significant anions within the waste stream including nitrate, nitrite, phosphate, carbonate, chromate, hydroxide, sulfate, and aluminate. The total sodium ion concentration was also determined independently by modeling inputs from on-line conductivity and density meters. In addition to the chemical information, this monitoring system provides immediate real-time data on the flow parameters, such as flow rate and temperature, and cumulative mass/volume of the retrieved waste stream. The components and analytical tools of the new process monitor can be tailored for a variety of complex mixtures in chemically harsh environments, such as pulp and paper processing liquids, electroplating solutions, and radioactive tank wastes. The developed monitoring system was tested for acceptability before it was deployed for use in Hanford Tank S-109 retrieval activities. The acceptance tests included performance inspection of hardware, software, and chemometric data analysis to determine the expected measurement accuracy for the different chemical species that are encountered during S-109 retrieval. (authors)
High-Performance Computing for Real-Time Grid Analysis and Operation
Huang, Zhenyu; Chen, Yousu; Chavarra-Miranda, Daniel
2013-10-31
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. Todays 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.
Stochastic analysis of the time evolution of Laminar-Turbulent bands of plane Couette flow
Rolland, Joran
2015-01-01
This article is concerned with the time evolution of the oblique laminar-turbulent bands of transitional plane Couette flow under the influence of turbulent noise. Our study is focused on the amplitude of modulation of turbulence. In order to guide the numerical study of the flow, we first perform an analytical and numerical analysis of a Stochastic Ginzburg-Landau equation for a complex order parameter. The modulus of this order parameter models the amplitude of modulation of turbulence. Firstly, we compute the autocorrelation function of said modulus once the band is established. Secondly, we perform a calculation of average and fluctuations around the exponential growth of the order parameter. This type of analysis is similar to the Stochastic Structural Stability Theory. We then perform numerical simulations of the Navier-Stokes equations in order to confront these predictions with the actual behaviour of the bands. Computation of the autocorrelation function of the modulation of turbulence shows quantita...
Michel, Clotaire
2008-01-01
The analysis of strong motion recordings in structures is crucial to understand the damaging process during earthquakes. A very precise time-frequency representation, the reassigned smoothed pseudo-Wigner-Ville method, allowed us to follow the variation of the Millikan Library (California) and the Grenoble City Hall building (France) resonance frequencies during earthquakes. Under strong motions, a quick frequency drop, attributed to damage of the soil-structure system, followed by a slower increase is found. However, in the case of weak earthquakes, we show that frequency variations come from the ground motion spectrum and cannot be interpreted in terms of change of the soil-structure system.
REVISED AND EXTENDED ANALYSIS OF FIVE TIMES IONIZED XENON, Xe VI
Gallardo, M.; Raineri, M.; Reyna Almandos, J.; Pagan, C. J. B.; Abraho, R. A. E-mail: cesarpagan@fee.unicamp.br
2015-01-01
A capillary discharge tube was used to record the Xe spectrum in the 400-5500 Š region. A set of 243 lines of the Xe VI spectrum was observed, and 146 of them were classified for the first time. For all known lines, we calculated the weighted oscillator strengths (gf) and weighted transition probabilities (gA) using the configuration interaction in a relativistic Hartree-Fock approach. The energy matrix was calculated using energy parameters adjusted to fit the experimental energy levels. Core polarization effects were taken into account in our calculations. Experimental energy values and calculated lifetimes are also presented for a set of 88 levels. From these levels, 32 were classified for the first time and 33 had their values revised. Our analysis of the 5s5p5d and 5s5p6s configurations was extended in order to clarify discrepancies among previous works.
Transient analysis of printed lines using finite-difference time-domain method
Ahmed, Shahid [JLAB
2013-01-01
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.
Rodríguez, Rodolfo
Analysis of a FEM-BEM model posed on the conducting domain for the time-dependent eddy current´atica, Universidad de Concepci´on, Casilla 160-C, Concepcion, Chile. Abstract The three-dimensional eddy current time. Keywords: Boundary elements; eddy current problem; finite elements; time-dependent electromagnetic problem
Taylor Series as Wide-sense Biorthogonal Wavelet Decomposition
H. M. de Oliveira; R. D. Lins
2015-02-05
Pointwise-supported generalized wavelets are introduced, based on Dirac, doublet and further derivatives of delta. A generalized biorthogonal analysis leads to standard Taylor series and new Dual-Taylor series that may be interpreted as Laurent Schwartz distributions. A Parseval-like identity is also derived for Taylor series, showing that Taylor series support an energy theorem. New representations for signals called derivagrams are introduced, which are similar to spectrograms. This approach corroborates the impact of wavelets in modern signal analysis.
Learning connections in financial time series
Gartheeban, Ganeshapillai
2014-01-01
Much of modern financial theory is based upon the assumption that a portfolio containing a diversified set of equities can be used to control risk while achieving a good rate of return. The basic idea is to choose equities ...
Exact Primitives for Time Series Data Mining
Mueen, Abdullah Al
2012-01-01
on Knowledge discovery and data mining, KDD, pages 947956,on Knowledge discovery and data mining, KDD 11, pages [15]on Knowledge discovery and data mining, KDD 03, pages 493
Text Queries on Document Time Series
Baeza-Yates, Ricardo
Retrieved for Query "iraq war" #12;Smoothed Timeline for "iraq war" #12;Temporal Models Goal: Estimate;Documents Retrieved for Query "iraq war" #12;Weighted by Document Relevance #12;Smoothed with Background
FPGA Based Real-time Network Traffic Analysis using Traffic Dispersion Patterns
Khan, F; Gokhale, M; Chuah, C N
2010-03-26
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%.
Parallel waveform extraction algorithms for the Cherenkov Telescope Array Real-Time Analysis
Zoli, Andrea; De Rosa, Adriano; Aboudan, Alessio; Fioretti, Valentina; De Cesare, Giovanni; Marx, Ramin
2015-01-01
The Cherenkov Telescope Array (CTA) is the next generation observatory for the study of very high-energy gamma rays from about 20 GeV up to 300 TeV. Thanks to the large effective area and field of view, the CTA observatory will be characterized by an unprecedented sensitivity to transient flaring gamma-ray phenomena compared to both current ground (e.g. MAGIC, VERITAS, H.E.S.S.) and space (e.g. Fermi) gamma-ray telescopes. In order to trigger the astrophysics community for follow-up observations, or being able to quickly respond to external science alerts, a fast analysis pipeline is crucial. This will be accomplished by means of a Real-Time Analysis (RTA) pipeline, a fast and automated science alert trigger system, becoming a key system of the CTA observatory. Among the CTA design key requirements to the RTA system, the most challenging is the generation of alerts within 30 seconds from the last acquired event, while obtaining a flux sensitivity not worse than the one of the final analysis by more than a fac...
Nanometer scale elemental analysis in the helium ion microscope using time of flight spectrometry
Klingner, Nico; Hlawacek, Gregor; von Borany, Johannes; Notte, John; Huang, Jason; Facsko, Stefan
2015-01-01
Time of flight Rutherford backscattering spectrometry (ToF-RBS) was successfully implemented in a helium ion microscope (HIM). Its integration introduces the ability to perform laterally resolved elemental analysis as well as elemental depth profiling on the nm scale. A lateral resolution of $\\leq$ 54 nm and an energy resolution of $\\Delta E \\leq$ 1.5 keV $(\\Delta E/E=5.4\\%)$ are achieved. By using the energy of the backscattered particles for contrast generation, we introduce a new imaging method to the HIM allowing direct elemental mapping as well as local spectrometry. In addition laterally resolved time of flight secondary ion mass spectrometry (ToF-SIMS) can be performed with the same setup. Time of flight is implemented by pulsing the primary ion beam. This is achieved in a cost effective and minimal invasive way that does not influence the high resolution capabilities of the microscope when operating in standard secondary electron (SE) imaging mode. This technique can thus be easily adapted to existing...
Natural time analysis of critical phenomena: The case of pre-fracture electromagnetic emissions
Potirakis, S. M.; Karadimitrakis, A.; Eftaxias, K.
2013-06-15
Criticality of complex systems reveals itself in various ways. One way to monitor a system at critical state is to analyze its observable manifestations using the recently introduced method of natural time. Pre-fracture electromagnetic (EM) emissions, in agreement to laboratory experiments, have been consistently detected in the MHz band prior to significant earthquakes. It has been proposed that these emissions stem from the fracture of the heterogeneous materials surrounding the strong entities (asperities) distributed along the fault, preventing the relative slipping. It has also been proposed that the fracture of heterogeneous material could be described in analogy to the critical phase transitions in statistical physics. In this work, the natural time analysis is for the first time applied to the pre-fracture MHz EM signals revealing their critical nature. Seismicity and pre-fracture EM emissions should be two sides of the same coin concerning the earthquake generation process. Therefore, we also examine the corresponding foreshock seismic activity, as another manifestation of the same complex system at critical state. We conclude that the foreshock seismicity data present criticality features as well.
Series Transmission Line Transformer
Buckles, Robert A. (Livermore, CA); Booth, Rex (Livermore, CA); Yen, Boris T. (El Cerrito, CA)
2004-06-29
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.
Snchez-Martnez, Gabriel Eduardo
2013-01-01
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 ...
Introduction to Fourier Series
2014-10-15
Oct 15, 2014 ... The Basics. Fourier series ... period L. Sine and cosine are the most basic periodic functions! .... So just sit back, relax, and enjoy the ride!
Solar irradiance forecasting at multiple time horizons and novel methods to evaluate uncertainty
Marquez, Ricardo
2012-01-01
connected pv plant at Trieste, Italy. Solar Energy, 84(5):solar energy system (the UC Merced 1-MW photovoltaic plant).solar irradiance based on time series analysis: application to solar thermal power plants energy
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)
2014-01-01
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.
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.
2014-02-01
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.
Low time resolution analysis of polar ice cores cannot detect impulsive nitrate events
Smart, D F; Melott, A L; Laird, C M
2015-01-01
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.
Reich, Brian J.
1 Time-to-Event Analysis of Fine Particle Air Pollution and Preterm Birth: Results from North.chang@duke.edu #12;3 Abstract Exposures to air pollution during pregnancy have been suggested as risk factors good air quality. Key words: air pollution, particulate matter, preterm birth, survival analysis Word
-344-3957, vmf5@columbia.edu 2 Center for Life Cycle Analysis, Columbia University, New York, NY 10027, USA 3 SunLIFE CYCLE ANALYSIS OF HIGH-PERFORMANCE MONOCRYSTALLINE SILICON PHOTOVOLTAIC SYSTEMS: ENERGY PAYBACK TIMES AND NET ENERGY PRODUCTION VALUE Vasilis Fthenakis1,2 , Rick Betita2 , Mark Shields3 , Rob
Pre-Stack Depth Migration and Attribute Analysis of 3-D Time-Lapse P-wave Data
Pre-Stack Depth Migration and Attribute Analysis of 3-D Time-Lapse P-wave Data Vacuum Field, New the application of Pre-Stack Depth Migration (PSDM) and innovative window-based attribute analysis applied to 4-D seismic data. The data were acquired in Central Vacuum Unit, Lea County, New Mexico by the Reservoir
Reducing systematic errors in time-frequency resolved mode number analysis
Horvth, L; Papp, G; Maraschek, M; Schuhbeck, K H; Pokol, G I
2015-01-01
The present paper describes the effect of magnetic pick-up coil transfer functions on mode number analysis in magnetically confined fusion plasmas. Magnetic probes mounted inside the vacuum chamber are widely used to characterize the mode structure of magnetohydrodynamic modes, as, due to their relative simplicity and compact nature, several coils can be distributed over the vessel. Phase differences between the transfer functions of different magnetic pick-up coils lead to systematic errors in time- and frequency resolved mode number analysis. This paper presents the first in-situ, end-to-end calibration of a magnetic pick-up coil system which was carried out by using an in-vessel driving coil on ASDEX Upgrade. The effect of the phase differences in the pick-up coil transfer functions is most significant in the 50-250 kHz frequency range, where the relative phase shift between the different probes can be up to 1 radian (~60{\\deg}). By applying a correction based on the transfer functions we found smaller res...
An objective change point analysis of landfalling historical Atlantic hurricane numbers
Jewson, S; Jewson, Stephen; Penzer, Jeremy
2006-01-01
In previous work we have analysed the Atlantic basin hurricane number time-series to identify decadal time-scale change points. We now repeat the analysis but for US landfalling hurricanes. The results are very different.
A real-time GIS for the analysis of a traffic system C. Claramunt, E. Peytchev and A. Bargiela
Bargiela, Andrzej
A real-time GIS for the analysis of a traffic system C. Claramunt, E. Peytchev and A. Bargiela describes a prototype development of a new system for the integration of real-time traffic data within a GIS in which systems are designed and used in many application fields. Geographical Information Systems (GIS
Brillouin optical time-domain analysis over a 240 km-long fiber loop with no repeater
Thévenaz, Jacques
Brillouin optical time-domain analysis over a 240 km-long fiber loop with no repeater Xabier Angulo.angulo@io.cfmac.csic.es; phone +34 915618806 ext.:222 ABSTRACT In this paper we combine the use of optical pulse coding and seeded second-order Raman amplification to extend the sensing distance of Brillouin optical time
A shoe-integrated sensor system for wireless gait analysis and real-time therapeutic feedback
Morris, Stacy J., 1974-
2004-01-01
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 ...
Papadopoulou, K. A.; Skordas, E. S.
2014-12-01
The Huang method is applied to Seismic Electric Signal (SES) activities in order to decompose them into their components, named Intrinsic Mode Functions (IMFs). We study which of these components contribute to the basic characteristics of the signal. The Hilbert transform is then applied to the IMFs in order to determine their instantaneous amplitudes. The results are compared with those obtained from the analysis in a new time domain termed natural time, after having subtracted the magnetotelluric background from the original signal. It is shown that these instantaneous amplitudes, when combined with the natural time analysis, can be used for the distinction of SES from artificial noises.
INITIAL ANALYSIS OF TRANSIENT POWER TIME LAG DUE TO HETEROGENEITY WITHIN THE TREAT FUEL MATRIX.
D.M. Wachs; A.X. Zabriskie, W.R. Marcum
2014-06-01
The topic Nuclear Safety encompasses a broad spectrum of focal areas within the nuclear industry; one specific aspect centers on the performance and integrity of nuclear fuel during a reactivity insertion accident (RIA). This specific accident has proven to be fundamentally difficult to theoretically characterize due to the numerous empirically driven characteristics that quantify the fuel and reactor performance. The Transient Reactor Test (TREAT) facility was designed and operated to better understand fuel behavior under extreme (i.e. accident) conditions; it was shutdown in 1994. Recently, efforts have been underway to commission the TREAT facility to continue testing of advanced accident tolerant fuels (i.e. recently developed fuel concepts). To aid in the restart effort, new simulation tools are being used to investigate the behavior of nuclear fuels during facilitys transient events. This study focuses specifically on the characterizing modeled effects of fuel particles within the fuel matrix of the TREAT. The objective of this study was to (1) identify the impact of modeled heterogeneity within the fuel matrix during a transient event, and (2) demonstrate acceptable modeling processes for the purpose of TREAT safety analyses, specific to fuel matrix and particle size. Hypothetically, a fuel that is dominantly heterogeneous will demonstrate a clearly different temporal heating response to that of a modeled homogeneous fuel. This time difference is a result of the uniqueness of the thermal diffusivity within the fuel particle and fuel matrix. Using MOOSE/BISON to simulate the temperature time-lag effect of fuel particle diameter during a transient event, a comparison of the average graphite moderator temperature surrounding a spherical particle of fuel was made for both types of fuel simulations. This comparison showed that at a given time and with a specific fuel particle diameter, the fuel particle (heterogeneous) simulation and the homogeneous simulation were related by a multiplier relative to the average moderator temperature. As time increases the multiplier is comparable to the factor found in a previous analytical study from literature. The implementation of this multiplier and the method of analysis may be employed to remove assumptions and increase fidelity for future research on the effect of fuel particles during transient events.
Timing analysis of the X-ray transient source XTE J1806--246 (2S1803--245)
M. Revnivtsev; K. Borozdin; A. Emelyanov
1999-03-01
An outburst of the X-ray transient source XTE J1806--246 (2S1803--245) has been observed by Rossi X-ray Timing Explorer in April-July 1998. Strong quasi-periodical oscillations (QPO) with a central peak frequency around 9 Hz was detected in one observation of the series performed by PCA/RXTE experiment. X-ray flux from the source during the observation with QPO was maximal. The energy spectrum of XTE J1806--246 at this time was softer than for other observations. A sufficient variability of the QPO parameters has been detected, in short-term correlation with the flux variability. Fractional amplitudes of Very Low frequency Noise and QPO component of power density spectrum demonstrate strong energy dependence, while other parameters do not change significantly.
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.
2012-09-28
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 todays 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.
Experiment on ATM traffic analysis
Liang, Chai
1997-01-01
MMPP/M/l/K to analyze the queueing performance of a server. To make a single server analysis applicable the network, we proposed a method to obtained the output MMPP parameters of an individual connection based on time series analysis. The results...
Fourier series and periodicity
Donal F. Connon
2014-12-07
A large number of the classical texts dealing with Fourier series more or less state that the hypothesis of periodicity is required for pointwise convergence. In this paper, we highlight the fact that this condition is not necessary.
Kalueff, Allan V.
adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed + Business Media made a renewed commitment to this series. The new program will focus on methods
The U-tube sampling methodology and real-time analysis of geofluids
Freifeld, Barry; Perkins, Ernie; Underschultz, James; Boreham, Chris
2009-03-01
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.
Cerveny, Vlastislav
in business and econo- mics, annual birth or mortality rates in demography, accident rates or unemploy- ment of observations. We can record daily closing stock prices, weekly interest rates or monthly price indices
Pathobiology Department Seminar Series COMPARATIVE PATHOBIOLOGY SEMINAR SERIES
Alpay, S. Pamir
. Bushmich) Senior Director of Investigative Pathology Drug Safety Research & Development Pfizer, Inc "TissuePathobiology Department Seminar Series COMPARATIVE PATHOBIOLOGY SEMINAR SERIES Thursdays, 11:00 A
S. Zieba; J. Maslowski; A. Michalec; G. Michalek; A. Kulak
2007-01-15
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.
Ota, T. A.
2013-10-15
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.
Armstrong, Darrell Jewell; Schwarz, Jens
2013-08-01
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.
Johnston, Mark
Abstract. Several studies of plant taxa have con- cluded that generation time, including annual/ perennial in animals, there is little theoretical basis for why generation-time effects would exist in plants. Furthermore, previous reports fail to establish the generality of a generation-time effect in plants be- cause
Slow-Time Changes in Human EMG Muscle Fatigue States Are Fully Represented in Movement Kinematics
Chelidze, David
from the kinematic data. Nonlinear analysis of kinematic features was shown to be essential nonlinear PSW-based analysis of kinematic data was shown to adequately predict all EMG-based individual-based analysis of strictly kinematic time series data directly predicted all of the local muscle fatigue trends
Huang, Xun
Stability analysis and design of time-domain acoustic impedance boundary conditions for lined duct in a lined duct with uniform mean flow, which has important practical interest for noise emission by aero boundary conditions act as closed-loop feedbacks to an overall duct acoustic system. It turns out
Time-resolved vibrational and rotational emission analysis of laser-produced plasma of carbon and polymers B. Nemeta,*, K. Musiolb , I. Santaa , J. Zachorowskib a Institute of Physics, Janus Pannonius and the CN radical in the plasma obtained by Nd:YAG laser ablation of graphite and polymers in atmospheric
Carvalho, Joo Luiz
Abstract--Time-frequency analysis of heart rate variability (HRV) makes it easier to evaluate how-regressive model can be used to calculate the Power Spectrum Density of HRV and to create an auto of optimal orders for different interpolation rates of the HRV signal are presented. Keywords--AR model order
Southern California, University of
1 Earthquake Damage Detection in the Imperial County Services Building III: Analysis of Wave Travel characteristics of the structure, and are not sensitive to local damage. Wave travel times between selected changes in such characteristics of response are potentially more sensitive to local damage. In this paper
Chen, Shu-Hua
The Impact of Climate Change on Air QualityRelated Meteorological Conditions in California. Part I on meteorology and air quality conditions in Cal- ifornia by dynamically downscaling Parallel Climate Model (PCM: Present Time Simulation Analysis ZHAN ZHAO Department of Land, Air, and Water Resources, University
Krennrich, Frank Iowa State University
2013-09-24
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.
Liu, Yangqing, E-mail: liuyq05@gmail.com; Tan, Yi; Xie, Huiqiao; Wang, Wenhao; Gao, Zhe [Department of Engineering Physics, Tsinghua University, Beijing 100084 (China)
2014-07-15
An improved Hilbert-Huang transform method is developed to the time-frequency analysis of non-stationary signals in tokamak plasmas. Maximal overlap discrete wavelet packet transform rather than wavelet packet transform is proposed as a preprocessor to decompose a signal into various narrow-band components. Then, a correlation coefficient based selection method is utilized to eliminate the irrelevant intrinsic mode functions obtained from empirical mode decomposition of those narrow-band components. Subsequently, a time varying vector autoregressive moving average model instead of Hilbert spectral analysis is performed to compute the Hilbert spectrum, i.e., a three-dimensional time-frequency distribution of the signal. The feasibility and effectiveness of the improved Hilbert-Huang transform method is demonstrated by analyzing a non-stationary simulated signal and actual experimental signals in fusion plasmas.
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 standardbased on the Plan-Do-Check-Act approachand 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
Stoltz, Brian M.
Bioengineering Lecture Series Refreshments will be served at 3:40 pm in the lobby BELS contact Sang Yup Lee KAIST mbel.kaist.ac.kr/lab/family/professor.html Distinguished Professor of Bioengineering-amines, and biopolymers will be described. Co-sponsored by the Bioengineering Department and the Resnick Institute #12;
Haubold, H.J.; Gerth, E.
1985-01-25
We continue the Fourier analysis of the argon-37 production rate for runs 18--80 observed in Davis' well known solar neutrino experiment. The method of Fourier analysis with the unequally-spaced data of Davis and associates is described and the discovered periods we compare with our recently published results for the analysis of runs 18--69 (Haubold and Gerth, 1983). The harmonic analysis of the data of runs 18--80 shows time variations of the solar neutrino flux with periods ..pi.. = 8.33; 5.26; 2.13; 1.56; 0.83; 0.64; 0.54; and 0.50 years, respectively, which confirms our earlier computations.
Time Stamp Attack in Smart Grid: Physical Mechanism and Damage Analysis
Gong, Shuping; Li, Husheng; Dimitrovski, Aleksandar D
2012-01-01
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.
Time Synchronization Attack in Smart Grid-Part I: Impact and Analysis
Zhang, Zhenghao; Dimitrovski, Aleksandar D; Li, Husheng
2012-01-01
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.
Towards Real-Time High Performance Computing For Power Grid Analysis
Hui, Peter SY; Lee, Barry; Chikkagoudar, Satish
2012-11-16
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.
Bayesian Analysis of Time Evolution of Earthquakes Mario Peruggia and Thomas Santner
Santner, Thomas
as a function of time. Keywords: Point process Epidemic model Italian seismic catalog Conditional intensity adopt a Bayesianapproachto analyzethe occurrencetimes of seismic events and their magnitudes. We follow Ogata (1988) by choosing an epidemic model for the process of occurrence times conditional
TIME-LAPSE VP/VS ANALYSIS FOR RESERVOIR CHARACTERIZATION, RULISON FIELD, COLORADO
from post-stack inversion of P- and S- wave datasets from three (3) time-lapse dedicated 9C surveys-component seismic is used to help with reservoir characterization of tight gas sands via time-lapse VP/VS volumes11 and slow-shear S22) I performed post-stack inversion of the corresponding datasets to obtain
Not Available
1980-08-01
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 electron capture process in charge pumping sequence using time domain measurements
Hori, Masahiro Watanabe, Tokinobu; Ono, Yukinori; Tsuchiya, Toshiaki
2014-12-29
A method for analyzing the electron capture process in the charge pumping (CP) sequence is proposed and demonstrated. The method monitors the electron current in the CP sequence in time domain. This time-domain measurements enable us to directly access the process of the electron capture to the interface defects, which are obscured in the conventional CP method. Using the time-domain measurements, the rise time dependence of the capture process is systematically investigated. We formulate the capture process based on the rate equation and derive an analytic form of the current due to the electron capture to the defects. Based on the formula, the experimental data are analyzed and the capture cross section is obtained. In addition, the time-domain data unveil that the electron capture process completes before the electron channel opens, or below the threshold voltage in a low frequency range of the pulse.
General schedulability bound analysis and its applications in real-time systems
Wu, Jianjia
2007-09-17
Real-time system refers to the computing, communication, and information system with deadline requirements. To meet these deadline requirements, most systems use a mechanism known as the schedulability test which determines ...
Analysis of Trade-Off Between Power Saving and Response Time in Disk Storage Systems
Otoo, Ekow J
2009-01-01
of Trade-Off Between Power Saving and Response Time in Diskthe disks are static and power saving can be realized duringopportunities for power saving. To understand the reasoning
Monitoring molecular interactions using photon arrival-time interval distribution analysis
Laurence, Ted A. (Livermore, CA); Weiss, Shimon (Los Angels, CA)
2009-10-06
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.
Analysis of oil-pipeline distribution of multiple products subject to delivery time-windows
Jittamai, Phongchai
2006-04-12
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...
Dabir, Aditi Sandeep
2010-07-14
Time-resolved fluorescence spectroscopy (TRFS) is a powerful analytical tool for quantifying the biochemical composition of organic and inorganic materials. The potentials of TRFS as nondestructive clinical tool for tissue diagnosis have been...
Ziegler, Mathias; Hempel, Martin; Tomm, Jens W.; Elsaesser, Thomas [Max-Born-Institut fuer Nichtlineare Optik und Kurzzeitspektroskopie, Max-Born-Str. 2A, 12489 Berlin (Germany); Larsen, Henning E.; Andersen, Peter E. [Department of Photonics Engineering, Technical University of Denmark, DK4000 Roskilde (Denmark); Clausen, Soennik [Risoe DTU, Technical University of Denmark, DK4000 Roskilde (Denmark); Elliott, Stella N. [Cardiff School of Physics and Astronomy, Cardiff University, The Parade, Cardiff CF24 3AA (United Kingdom)
2010-07-12
The early stages of catastrophic optical damage (COD) in 808 nm emitting diode lasers are mapped by simultaneously monitoring the optical emission with a 1 ns time resolution and deriving the device temperature from thermal images. COD occurs in highly localized damage regions on a 30 to 400 ns time scale which is determined by the accumulation of excess energy absorbed from the optical output. We identify regimes in which COD is avoided by the proper choice of operation parameters.
Higher-Order, Space-Time Adaptive Finite Volume Methods: Algorithms, Analysis and Applications
Minion, Michael
2014-04-29
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.
Time domain analysis of a gyrotron traveling wave amplifier with misaligned electron beam
Wang, Qiushi Peng, Shuyuan; Luo, Jirun
2014-08-15
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.
Henrik Stenlund
2012-04-24
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.
Statistical static timing analysis considering the impact of power supply noise in VLSI circuits
Kim, Hyun Sung
2009-06-02
less random than between the gates within a module. 32 REFERENCES [1] Y. M. Jiang and K. T. Cheng, ?Analysis of Performance Impact Caused by Power Supply Noise in Deep Submicron Devices,? ACM/IEEE Design Automation Conf., New... Orleans, LA, June 1999, pp. 760-765. [2] S. Pant, D. Blaauw, V. Zolotov, S. Sundareswaran and R. Panda, ?Vectorless Analysis of Supply Noise Induced Delay Variation,? IEEE/ACM Int?l Conf. Computer Aided Design, San Jose, CA, Nov. 2003, pp. 184-191. [3...
Chemical kinetic analysis of hydrogen-air ignition and reaction times
Rogers, R.C.; Schexnayder, C.J. Jr.
1981-07-01
An anaytical study of hydrogen air kinetics was performed. Calculations were made over a range of pressure from 0.2 to 4.0 atm, temperatures from 850 to 2000 K, and mixture equivalence ratios from 0.2 to 2.0. The finite rate chemistry model included 60 reactions in 20 species of the H2-O2-N2 system. The calculations also included an assessment of how small amounts of the chemicals H2O, NOx, H2O2, and O3 in the initial mixture affect ignition and reaction times, and how the variation of the third body efficiency of H2O relative of N2 in certain key reactions may affect reaction time. The results indicate that for mixture equivalence ratios between 0.5 and 1.7, ignition times are nearly constant however, the presence of H2O and NO can have significant effects on ignition times, depending on the mixture temperature. Reaction time is dominantly influenced by pressure but is nearly independent of initial temperature, equivalence ratio, and the addition of chemicals. Effects of kinetics on reaction at supersonic combustor conditions are discussed.
Frequency domain and time domain analysis of thermoacoustic oscillations with wave-based acoustics
Orchini, A.; Illingworth, S. J.; Juniper, M. P.
2015-05-14
Many thermoacoustic systems exhibit rich nonlinear behaviour. Recent studies show that this nonlinear dynamics can be well captured by low-order time domain models that couple a level set kinematic model for a laminar flame, the G-equation, with a...
Empirical timing analysis of CPUs and delay fault tolerant design using partial redundancy
Chang, Sanghoan
2009-05-15
part of the original circuit to avoid high hardware overhead as in triple-modular-redundancy (TMR). The timing-critical combinational circuit is path-wise partitioned into two sections. The combinational circuits associated with long paths are laid out...
Time cycle analysis and simulation of material flow in MOX process layout
Chakraborty, S.; Saraswat, A.; Danny, K.M.; Somayajulu, P.S.; Kumar, A.
2013-07-01
The (U,Pu)O{sub 2} MOX fuel is the driver fuel for the upcoming PFBR (Prototype Fast Breeder Reactor). The fuel has around 30% PuO{sub 2}. The presence of high percentages of reprocessed PuO{sub 2} necessitates the design of optimized fuel fabrication process line which will address both production need as well as meet regulatory norms regarding radiological safety criteria. The powder pellet route has highly unbalanced time cycle. This difficulty can be overcome by optimizing process layout in terms of equipment redundancy and scheduling of input powder batches. Different schemes are tested before implementing in the process line with the help of a software. This software simulates the material movement through the optimized process layout. The different material processing schemes have been devised and validity of the schemes are tested with the software. Schemes in which production batches are meeting at any glove box location are considered invalid. A valid scheme ensures adequate spacing between the production batches and at the same time it meets the production target. This software can be further improved by accurately calculating material movement time through glove box train. One important factor is considering material handling time with automation systems in place.
Time Variations of the Superkamiokande Solar Neutrino Flux Data by Rayleigh Power Spectrum Analysis
Koushik Ghosh; Probhas Raychaudhuri
2006-06-05
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.
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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effect Photovoltaics -7541 *ImpactScience of SignaturesSoft0 Soils Soil Series and
Shifeng Jiang; Nicolas Treps; Claude Fabre
2012-04-11
We present in this paper a general model for determining the quantum properties of the light generated by a synchronously pumped optical parametric oscillator (SPOPO) operating below threshold. This model considers time and frequency on an equal footing, which allows us to find new quantum properties, related for example to the carrier envelope offset (CEO) phase, and to consider situations that are close to real experiments. We show that, in addition to multimode squeezing in the so-called 'supermodes', the system exhibits quadrature entanglement between frequency combs of opposite CEO phases. We have also determined the quantum properties of the individual pulses and their quantum correlations with the neighboring pulses. Finally, we determine the quantum Cramer-Rao limit for an ultra-short time delay measurement using a given number of pulses generated by the SPOPO.
An Analysis of Full-Time Commercial Farms in Northeast Texas.
Edmondson, Vance W.
1962-01-01
with other inputs, to bring about a more productive basis for livestock production. Management is probably the most significant obstacle to increased incomes on many of the full- time commercial farms, although factors beyond the operators' control... large amounts of labor. Since the settler\\ were inclined toward family-type farm operations ant1 ownership control of land, many small-acreage farm, were established in East Texas as both a way of life and as a way of livelihood. When oil...
Data series subtraction with unknown and unmodeled background noise
Stefano Vitale; Giuseppe Congedo; Rita Dolesi; Valerio Ferroni; Mauro Hueller; Daniele Vetrugno; William Joseph Weber; Heather Audley; Karsten Danzmann; Ingo Diepholz; Martin Hewitson; Natalia Korsakova; Luigi Ferraioli; Ferran Gibert; Nikolaos Karnesis; Miquel Nofrarias; Henri Inchauspe; Eric Plagnol; Oliver Jennrich; Paul W. McNamara; Michele Armano; James Ira Thorpe; Peter Wass
2014-08-04
LISA Pathfinder (LPF), ESA's precursor mission to a gravitational wave observatory, will measure the degree to which two test-masses can be put into free-fall, aiming to demonstrate a residual relative acceleration with a power spectral density (PSD) below 30 fm/s$^2$/Hz$^{1/2}$ around 1 mHz. In LPF data analysis, the measured relative acceleration data series must be fit to other various measured time series data. This fitting is required in different experiments, from system identification of the test mass and satellite dynamics to the subtraction of noise contributions from measured known disturbances. In all cases, the background noise, described by the PSD of the fit residuals, is expected to be coloured, requiring that we perform such fits in the frequency domain. This PSD is unknown {\\it a priori}, and a high accuracy estimate of this residual acceleration noise is an essential output of our analysis. In this paper we present a fitting method based on Bayesian parameter estimation with an unknown frequency-dependent background noise. The method uses noise marginalisation in connection with averaged Welch's periodograms to achieve unbiased parameter estimation, together with a consistent, non-parametric estimate of the residual PSD. Additionally, we find that the method is equivalent to some implementations of iteratively re-weighted least-squares fitting. We have tested the method both on simulated data of known PSD, and to analyze differential acceleration from several experiments with the LISA Pathfinder end-to-end mission simulator.
Using Fourier Series to Model Hourly Energy Use in Commercial Buildings
Dhar, A.; Reddy, T. A.; Claridge, D. E.
1993-01-01
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...
Rau-Chaplin, Andrew
Multi-GPU Computing for Achieving Speedup in Real-time Aggregate Risk Analysis A. K. Bahl Center.whiteway@dal.ca Abstract--Stochastic simulation techniques employed for portfolio risk analysis, often referred to as Aggregate Risk Analysis, can benefit from exploiting state-of-the-art high- performance computing platforms
Time evolution analysis of the electron distribution in Thomson/Compton back-scattering
Petrillo, V.; Bacci, A.; Curatolo, C.; Maroli, C.; Serafini, L.; Rossi, A. R.
2013-07-28
We present the time evolution of the energy distribution of a relativistic electron beam after the Compton back-scattering with a counter-propagating laser field, performed in the framework of the Quantum Electrodynamics, by means of the code CAIN. As the correct angular distribution of the spontaneous emission is accounted, the main effect is the formation of few stripes, followed by the diffusion of the more energetic particles toward lower values in the longitudinal phase space. The Chapman-Kolmogorov master equation gives results in striking agreement with the numerical ones. An experiment on the Thomson source at SPARC-LAB is proposed.
Materny, Arnulf; Konradi, Jakow; Namboodiri, Vinu; Namboodiri, Mahesh; Scaria, Abraham
2008-11-14
The use of four-wave mixing techniques in femtosecond time-resolved spectroscopy has considerable advantages. Due to the many degrees of freedom offered e.g. by coherent anti-Stokes Raman scattering (CARS), the dynamics even of complex systems can be analyzed in detail. Using pulse shaping techniques in combination with a self-learning loop approach, molecular mode excitation can be controlled very efficiently in a multi-photon excitation process. Results obtained from the optimal control of CARS on {beta}-carotene are discussed.
Analysis of finite element approximation and iterative methods for time-dependent Maxwell problems
Zhao, Jun
2004-09-30
naturally transfer (2.20) to the semi-discrete scheme of seeking (Eh(t);Bh(t)) in Uh Vh satisfying, for any 0 Eh;t;uh) ( 1Bh;curluh) = (J;uh); for all uh 2 Uh; ( 1Bh;t;vh) + (curlEh; 1vh) = 0; for all vh 2 Vh; (2.21) 19 with given initial... approximations Eh(0) E0 and Eh(0) E0: (2.22) We will discuss possible choices of initial approximations in the following chapter. When we try to discretize time derivatives in (2.21), the stability of the resulting fully discrete scheme critically depends...
Solar glare hazard analysis tool on account of determined points of time
Ho, Clifford K; Sims, Cianan Alexander
2014-09-23
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.
Druzhinina, O V; Shestakov, A A [Moscow State University of Railway Engineering, Moscow (Russian Federation)
2002-10-31
A generalized direct Lyapunov method is put forward for the study of stability and attraction in general time systems of the following types: the classical dynamical system in the sense of Birkhoff, the general system in the sense of Zubov, the general system in the sense of Seibert, the general system with delay, and the general 'input-output' system. For such systems, with the help of generalized Lyapunov functions with respect to two filters, two quasifilters, or two filter bases, necessary and sufficient conditions for stability and attraction are obtained under minimal assumptions about the mathematical structure of the general system.
Method and system for real-time analysis of biosensor data
Greenbaum, Elias; Rodriguez, Jr., Miguel
2014-08-19
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.
Analysis of Trade-Off Between Power Saving and Response Time in Disk Storage Systems
Otoo, Ekow J; Rotem, Doron; Tsao, Shih-Chiang
2009-02-03
It is anticipated that in the near future disk storage systems will surpass application servers and will become the primary consumer of power in the data centers. Shutting down of inactive disks is one of the more widespread solutions to save power consumption of disk systems. This solution involves spinning down or completely shutting off disks that exhibit long periods of inactivity and placing them in standby mode. A file request from a disk in standby mode will incur an I/O cost penalty as it takes time to spin up the disk before it can serve the file. In this paper, we address the problem of designing and implementing file allocation strategies on disk storage that save energy while meeting performance requirements of file retrievals. We present an algorithm for solving this problem with guaranteed bounds from the optimal solution. Our algorithm runs in O(nlogn) time where n is the number of files allocated. Detailed simulation results and experiments with real life workloads are also presented.
Probabilistic analysis of allowed outage times relaxation at a PWR plant
Cho, N.; Chu, T.; Xue, D.; Bozoki, G.; Youngblood, R.
1986-01-01
Technical Specifications (TS) in a nuclear power plant are specific requirements on its day-to-day operation, designed to protect public health and safety. Two primary aspects of the TS are (1) limiting conditions of operation (LCO) with allowed outage times (AOTs) and (2) surveillance testing intervals (STIs). In recent years, there has been growing interest in the nuclear community in reexamining the TS. One of the reasons is that a significant portion of reactor downtime (plant unavailability) is attributable to the strict TS. Existing TS were derived from engineering judgement based on deterministic review; they were not directly risk-based, and their efficacy in enhancing public safety is difficult to establish. This paper presents a summary of a critical review of the Westinghouse report which proposed that AOTs for a number of safety systems at the Byron Generating Station be increased from 3 to 7 days.
Apparatus for real-time airborne particulate radionuclide collection and analysis
Smart, John E. (West Richland, WA); Perkins, Richard W. (Richland, WA)
2001-01-01
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.
Vaze, Rahul
2011-01-01
We consider the optimal online packet scheduling problem in a single-user energy harvesting wireless communication system, where energy is harvested from natural renewable sources, making future energy arrivals instants and amounts random in nature. The most general case of arbitrary energy arrivals is considered where neither the future energy arrival instants or amount, nor their distribution is known. The problem considered is to adaptively change the transmission rate according to the causal energy arrival information, such that the time by which all packets are delivered is minimized. We assume that all bits have arrived and are ready at the source before the transmission begins. For a minimization problem, the utility of an online algorithm is tested by finding its competitive ratio or competitiveness that is defined to be the maximum of the ratio of the gain of the online algorithm with the optimal offline algorithm over all input sequences. We derive a lower and upper bound on the competitive ratio of...
Horvth, kos
Dynamics of soil gas radon concentration in a highly permeable soil based on a long-term high University, Pzmny Pter stny 1/C, 1117 Budapest, Hungary b Institute for Soil Sciences and Agricultural periodicity Time series analysis a b s t r a c t This paper studies the temporal variation of soil gas radon
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.
2011-09-30
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.
Geometric Characterization of Series-Parallel Variable Resistor Networks
Tygar, Doug
simultaneously by an algorithm of complexity O(nk). Key Words: Worst case analysis, linear circuits, series-parallel networks, projective geometry. 1. Introduction The task of worst case circuit analysis [7] involves a method for performing a worst case analysis of a variable linear resistor network by casting
Geometric Characterization of SeriesParallel Variable Resistor Networks #
Bryant, Randal E.
simultaneously by an algorithm of complexity O(nk). Key Words: Worst case analysis, linear circuits, seriesparallel networks, projective geometry. 1. Introduction The task of worst case circuit analysis [7] involves. In his book on circuit theory [2], Calahan describes a method for performing a worst case analysis
Fault zone structure determined through the analysis of earthquake arrival times
Michelini, A.
1991-10-01
This thesis develops and applies a technique for the simultaneous determination of P and S wave velocity models and hypocenters from a set of arrival times. The velocity models are parameterized in terms of cubic B-splines basis functions which permit the retrieval of smooth models that can be used directly for generation of synthetic seismograms using the ray method. In addition, this type of smoothing limits the rise of instabilities related to the poor resolving power of the data. V{sub P}/V{sub S} ratios calculated from P and S models display generally instabilities related to the different ray-coverages of compressional and shear waves. However, V{sub P}/V{sub S} ratios are important for correct identification of rock types and this study introduces a new methodology based on adding some coupling (i.e., proportionality) between P and S models which stabilizes the V{sub P}/V{sub S} models around some average preset value determined from the data. Tests of the technique with synthetic data show that this additional coupling regularizes effectively the resulting models.
Exploring the Manifold of Seismic Waves: Application to the Estimation of Arrival-Times
Kye M. Taylor; Michael J. Procopio; Christopher J. Young; Francois G. Meyer
2010-07-22
We propose a new method to analyze seismic time series and estimate the arrival-times of seismic waves. Our approach combines two ingredients: the times series are first lifted into a high-dimensional space using time-delay embedding; the resulting phase space is then parametrized using a nonlinear method based on the eigenvectors of the graph Laplacian. We validate our approach using a dataset of seismic events that occurred in Idaho, Montana, Wyoming, and Utah, between 2005 and 2006. Our approach outperforms methods based on singular-spectrum analysis, waveleta nalysis, and STA/LTA.
Exploring the Manifold of Seismic Waves: Application to the Estimation of Arrival-Times
Taylor, K M; Young, C J; Meyer, F G
2010-01-01
We propose a new method to analyze seismic time series and estimate the arrival-times of seismic waves. Our approach combines two ingredients: the times series are first lifted into a high-dimensional space using time-delay embedding; the resulting phase space is then parametrized using a nonlinear method based on the eigenvectors of the graph Laplacian. We validate our approach using a dataset of seismic events that occurred in Idaho, Montana, Wyoming, and Utah, between 2005 and 2006. Our approach outperforms methods based on singular-spectrum analysis, waveleta nalysis, and STA/LTA.
Dillon, Heather E.; Colella, Whitney G.
2015-06-01
Pacific Northwest National Laboratory (PNNL) is working with industry to independently monitor up to 15 distinct 5 kW-electric (kWe) combined heat and power (CHP) high temperature (HT) proton exchange membrane (PEM) fuel cell systems (FCSs) installed in light commercial buildings. This research paper discusses an evaluation of the first six months of measured performance data acquired at a 1 s sampling rate from real-time monitoring equipment attached to the FCSs at building sites. Engineering performance parameters are independently evaluated. Based on an analysis of the first few months of measured operating data, FCS performance is consistent with manufacturer-stated performance. Initial data indicate that the FCSs have relatively stable performance and a long-term average production of about 4.57 kWe of power. This value is consistent with, but slightly below, the manufacturer's stated rated electric power output of 5 kWe. The measured system net electric efficiency has averaged 33.7%, based on the higher heating value (HHV) of natural gas fuel. This value, also, is consistent with, but slightly below, the manufacturer's stated rated electric efficiency of 36%. The FCSs provide low-grade hot water to the building at a measured average temperature of about 48.4 degrees C, lower than the manufacturer's stated maximum hot water delivery temperature of 65 degrees C. The uptime of the systems is also evaluated. System availability can be defined as the quotient of total operating time compared to time since commissioning. The average values for system availability vary between 96.1 and 97.3%, depending on the FCS evaluated in the field. Performance at rated value for electrical efficiency (PRVeff) can be defined as the quotient of the system time operating at or above the rated electric efficiency and the time since commissioning. The PRVeff varies between 5.6% and 31.6%, depending on the FCS field unit evaluated. Performance at rated value for electrical power (PRVp) can be defined as the quotient of the system time operating at or above the rated electric power and the time since commissioning. PRVp varies between 6.5% and 16.2%. Performance at rated value for electrical efficiency and power (PRVt) can be defined as the quotient of the system time operating at or above both the rated electric efficiency and the electric power output compared to the time since commissioning. PRVt varies between 0.2% and 1.4%. Optimization to determine the manufacturer rating required to achieve PRVt greater than 80% has been performed based on the collected data. For example, for FCS Unit 130 to achieve a PRVt of 95%, it would have to be down-rated to an electrical power output of 3.2 kWe and an electrical efficiency of 29%. The use of PRV as an assessment metric for FCSs has been developed and reported for the first time in this paper. For FCS Unit 130, a maximum decline in electric power output of approximately 18% was observed over a 500 h period in Jan. 2012.
Ford, Eric B.; Fabrycky, Daniel C.; Steffen, Jason H.; Carter, Joshua A.; Fressin, Francois; Holman, Matthew J.; Lissauer, Jack J.; Moorhead, Althea V.; Morehead, Robert C.; Ragozzine, Darin; Rowe, Jason F.; /NASA, Ames /SETI Inst., Mtn. View /San Diego State U., Astron. Dept.
2012-01-01
We present a new method for confirming transiting planets based on the combination of transit timing variations (TTVs) and dynamical stability. Correlated TTVs provide evidence that the pair of bodies are in the same physical system. Orbital stability provides upper limits for the masses of the transiting companions that are in the planetary regime. This paper describes a non-parametric technique for quantifying the statistical significance of TTVs based on the correlation of two TTV data sets. We apply this method to an analysis of the transit timing variations of two stars with multiple transiting planet candidates identified by Kepler. We confirm four transiting planets in two multiple planet systems based on their TTVs and the constraints imposed by dynamical stability. An additional three candidates in these same systems are not confirmed as planets, but are likely to be validated as real planets once further observations and analyses are possible. If all were confirmed, these systems would be near 4:6:9 and 2:4:6:9 period commensurabilities. Our results demonstrate that TTVs provide a powerful tool for confirming transiting planets, including low-mass planets and planets around faint stars for which Doppler follow-up is not practical with existing facilities. Continued Kepler observations will dramatically improve the constraints on the planet masses and orbits and provide sensitivity for detecting additional non-transiting planets. If Kepler observations were extended to eight years, then a similar analysis could likely confirm systems with multiple closely spaced, small transiting planets in or near the habitable zone of solar-type stars.
Power Grid Data Analysis with R and Hadoop
Hafen, Ryan P.; Gibson, Tara D.; Kleese van Dam, Kerstin; Critchlow, Terence J.
2014-01-01
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.
Onyegegbu, S.O. (Univ. of Nigeria, Nsukka (Nigeria)); Morhenne, J. (Ruhr-Universitaet, Bochum (Germany))
1993-01-01
This paper presents an unsteady two-dimensional analysis of a flat-plate solar collector subjected to time varying insolation with considerable diffuse components as a better characterization of practical solar collectors. The analysis considers the thermal masses of the absorber, tube, glazing, and the working fluid in the system, as well as the different optical and thermodynamic properties of beam and diffuse radiation. Using two sets of insolation data, one for a near clear day and the other for an overcast day, an exergetic optimization of the system was carried out and flow rates which maximize the total energy output (extracted and accumulated) were determined for flow update periods of once very 30 min, 1 h, and the entire daylight period. The instantaneous optimum flow rates were found to follow the insolation pattern. On a daily basis, the optimum exergetic efficiencies and optimum flow rates were almost independent of the choice of the interval of fluid update, but were about 30% and 10%, respectively, higher for the clear day than for the overcast day.
Typical BWR/4 MSIV closure ATWS analysis using RAMONA-3B code with space-time neutron kinetics
Neymotin, L.; Saha, P.
1984-01-01
A best-estimate analysis of a typical BWR/4 MSIV closure ATWS has been performed using the RAMONA-3B code with three-dimensional neutron kinetics. All safety features, namely, the safety and relief valves, recirculation pump trip, high pressure safety injections and the standby liquid control system (boron injection), were assumed to work as designed. No other operator action was assumed. The results show a strong spatial dependence of reactor power during the transient. After the initial peak of pressure and reactor power, the reactor vessel pressure oscillated between the relief valve set points, and the reactor power oscillated between 20 to 50% of the steady state power until the hot shutdown condition was reached at approximately 1400 seconds. The suppression pool bulk water temperature at this time was predicted to be approx. 96/sup 0/C (205/sup 0/F). In view of code performance and reasonable computer running time, the RAMONA-3B code is recommended for further best-estimate analyses of ATWS-type events in BWRs.
Hainline, Laura J.; Morgan, Christopher W.; MacLeod, Chelsea L.; Landaal, Zachary D. [Department of Physics, United States Naval Academy, 572C Holloway Rd, Annapolis, MD 21402 (United States); Kochanek, C. S. [Department of Astronomy, The Ohio State University, 140 West 18th Ave, Columbus, OH 43210 (United States); Harris, Hugh C.; Tilleman, Trudy [United States Naval Observatory, Flagstaff Station, 10391 West Naval Observatory Road, Flagstaff, AZ 86001-8521 (United States); Goicoechea, L. J.; Shalyapin, V. N. [Facultad de Ciencias, Universidad de Cantabria, Avda. de Los Castros s/n, E-39005 Santander (Spain); Falco, Emilio E., E-mail: hainline@usna.edu, E-mail: cmorgan@usna.edu, E-mail: macleod@usna.edu, E-mail: m123894@usna.edu, E-mail: ckochanek@astronomy.ohio-state.edu, E-mail: hch@nofs.navy.mil, E-mail: trudy@nofs.navy.mil, E-mail: goicol@unican.es, E-mail: vshal@ukr.net, E-mail: falco@cfa.harvard.edu [Harvard-Smithsonian Center for Astrophysics, 60 Garden St, Cambridge, MA 02138 (United States)
2013-09-01
We present three complete seasons and two half-seasons of Sloan Digital Sky Survey (SDSS) r-band photometry of the gravitationally lensed quasar SBS 0909+532 from the U.S. Naval Observatory, as well as two seasons each of SDSS g-band and r-band monitoring from the Liverpool Robotic Telescope. Using Monte Carlo simulations to simultaneously measure the system's time delay and model the r-band microlensing variability, we confirm and significantly refine the precision of the system's time delay to {Delta}t{sub AB} = 50{sub -4}{sup +2} days, where the stated uncertainties represent the bounds of the formal 1{sigma} confidence interval. There may be a conflict between the time delay measurement and a lens consisting of a single galaxy. While models based on the Hubble Space Telescope astrometry and a relatively compact stellar distribution can reproduce the observed delay, the models have somewhat less dark matter than we would typically expect. We also carry out a joint analysis of the microlensing variability in the r and g bands to constrain the size of the quasar's continuum source at these wavelengths, obtaining log {l_brace}(r{sub s,r}/cm)[cos i/0.5]{sup 1/2}{r_brace} = 15.3 {+-} 0.3 and log {l_brace}(r{sub s,g}/cm)[cos i/0.5]{sup 1/2}{r_brace} = 14.8 {+-} 0.9, respectively. Our current results do not formally constrain the temperature profile of the accretion disk but are consistent with the expectations of standard thin disk theory.
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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-Throughput Analysis of Protein1-0845* StorageStructural Interactions of the
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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-Throughput Analysis of Protein1-0845* StorageStructural Interactions of theToo
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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-Throughput Analysis of Protein1-0845*RV6 Commercial8th Annual1-4 Home General
An Introduction to Wavelet Analysis with Applications to Vegetation Monitoring
Percival, Don
example: time series of vegetation areas over land (50 90 N) (based on monthly SAT data from Climate change from one place to the next on a given scale, where here `scale' is either - an interval (span;Basics of Wavelet Analysis: II reparameterize using width and time t of center of interval: A(, t) (t
Texas at Austin. University of
Stopping supersonic oxygen with a series of pulsed electromagnetic coils: A molecular coilgun, using a series of pulsed electromagnetic coils. A series of coils is fired in a timed sequence to bring in some experiments by interactions with pulsed electric fields Stark decelerator 46 , by inter- actions
Mellor, David Hugh
2001-01-01
The article shows how McTaggarts distinction between A- and B-series ways of locating events in time prompted and enabled the twentieth centurys most important advances in the philosophy of time. It argues that, even if the B-series represents...
Mechanical Engineering Department Seminar Series
Awtar, Shorya
Mechanical Engineering Department Seminar Series Mechanics of a Mosquito Professor of Mechanical Engineering Clemson University Tuesday, March 24, 2015 4:00 5:00 pm Room 1303 EECS Abstract: The mechanics of a fascicle insertion into the skin
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...
Mechanical Engineering Department Seminar Series
Awtar, Shorya
Mechanical Engineering Department Seminar Series The use of Virtual Prototyping and 3D Printing-based medical device design and manufacture linked up with 3D printing. The improvements will include patient
UNEP Policy Series ECOSYSTEM MANAGEMENT
1 UNEP Policy Series ECOSYSTEM MANAGEMENT Sustaining Forests: Sustaining forests: Investing in our ...........................................................................6 II. Threats to the world's forests: a complex policy problem ............................7 A. Market failures, financial mechanisms and costs of business ..................8 III. Innovative policy
Eisenstein Series in String Theory
N. A. Obers; B. Pioline
2000-03-01
We discuss the relevance of Eisenstein series for representing certain G(Z)-invariant string theory amplitudes which receive corrections from BPS states only. The Eisenstein series are constructed using G(Z)-invariant mass formulae and are manifestly invariant modular functions on the symmetric space K\\G(R) of non-compact type, with K the maximal compact subgroup of G(R). In particular, we show how Eisenstein series of the T-duality group SO(d,d,Z) can be used to represent one- and g-loop amplitudes in compactified string theory. We also obtain their non-perturbative extensions in terms of the Eisenstein series of the U-duality group E_{d+1(d+1)}(Z).
Castle series, 1954. Technical report
Martin, E.J.; Rowland, R.H.
1982-04-01
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.
Basic Fourier Series Academic Resource Center
Heller, Barbara
Basic Fourier Series Academic Resource Center Workshop for BME by: Neha Bansal #12;Agenda Fourier Series Trigonometric Fourier Series Compact Trigonometric Fourier Series Examples o Square Waves o Sawtooth Waves References #12;Fourier Series A periodic function f(t) can be represented by an infinite
Davis, Avery S
2015-08-10
estimated flowrate decline and historic gas flowrate data (qg) versus production time. ............................................................................................................................ 69 4.14 (Log-log Plot): PVT revised gas 30.... ................................................................................................................. 80 4.28 (Log-log Plot): PVT revised gas 30-year estimated cumulative production volume model comparison Arps modified hyperbolic decline model, power-law exponential decline model, and 50 percent and 100 percent completion efficiency RTA model...
Time-dependent Dalitz-Plot Analysis of the Charmless Decay B^0 -> K^0S Pi Pi- at BABAR
Ilic, J
2009-10-17
A time-dependent amplitude analysis of B{sup 0} {yields} K{sub S}{sup 0}{pi}{sup +}{pi}{sup -} decays is performed in order to extract the CP violation parameters of f{sub 0}(980)K{sub S}{sup 0} and {rho}{sup 0}(770)K{sub S}{sup 0} and direct CP asymmetries of K*{sup +}(892){pi}{sup -}. The results are obtained from the final BABAR data sample of (465 {+-} 5)10{sup 6} B{bar B} decays, collected with the BABAR detector at the PEP-II asymmetric-energy B factory at SLAC. The time dependent CP asymmetry for f{sub 0}(980)K{sub S}{sup 0} and {rho}{sup 0}(770)K{sub S}{sup 0} are measured to be S(f{sub 0}(980)K{sub S}{sup 0}) = -0.97 {+-} 0.09 {+-} 0.01 {+-} 0.01, and S({rho}{sup 0}(770)K{sub S}{sup 0}) = 0.67 {+-} 0.20 {+-} 0.06 {+-} 0.04, respectively. In decays to K*{sup +}(892){pi}{sup -} the direct CP asymmetry is found to be A{sub CP}(K*{sup {+-}}(892){pi}{sup {-+}}) = -0.18 {+-} 0.10 {+-} 0.04 {+-} 0.00. The relative phases between B{sup 0} {yields} K*{sup +}(892){pi}{sup -} and {bar B}{sup 0} {yields} K*{sup -}(892){pi}{sup +}, relevant for the extraction of the unitarity triangle angle {gamma}, is measured to be {Delta}{phi}(K*(892){pi}) = (34.9 {+-} 23.1 {+-} 7.5 {+-} 4.7){sup o}, where uncertainties are statistical, systematic and model-dependent, respectively. Fit fractions, direct CP asymmetries and the relative phases of different other resonant modes have also been measured. A new method for extracting longitudinal shower development information from longitudinally unsegmented calorimeters is also presented. This method has been implemented as a part of the BABAR final particle identification algorithm. A significant improvement in low momenta muon identification at BABAR is obtained.
Adams, Jean; White, Martin
2015-05-21
, and more frequent con- sumption of pre-prepared foods have been associated with poorer dietary quality and overweight and obesity in observational studies (Hartmann, Dohle, & Siegrist, 2013; Larson, Perry, Story, & Neumark-Sztainer, 2006; Laska, Larson... and overweight and obesity (Hartmann et al., 2013; Larson et al., 2006; Laska et al., 2012; McLaughlin et al., 2003; Nelson et al., 2007; van der Horst et al., 2011; Wolfson & Bleich, 2015). Our finding of inconsistent and weak socio-economic trends in time spent...
Wijesooriya, K; Seitter, K; Desai, V; Read, P; Larner, J
2014-06-01
Purpose: To develop and optimize an effective software method for comparing planned to delivered control point machine parameters for all VARIAN TrueBeam treatments so as to permit (1) assessment of a large patient pool throughout their treatment course to quantify treatment technique specific systematic and random uncertainty of observables, (2) quantify the site specific daily imaging shifts required for target alignment, and (3) define tolerance levels for mechanical parameters and imaging parameters based on statistical analysis data gathered, and the dosimetric impact of variations. Methods: Treatment and imaging log files were directly compared to plan parameters for Eclipse and Pinnacle planned treatments via 3D, IMRT, control point, RapidArc, and electrons. Each control point from all beams/arcs (7984) for all fractions (1940) of all patients treated over six months were analyzed. At each control point gantry angle, collimator angle, couch angle, jaw positions, MLC positions, MU were compared. Additionally per-treatment isocenter shifts were calculated. Results were analyzed as a whole in treatment type subsets: IMRT, 3D, RapidArc; and in treatment site subsets: brain, chest/mediastinum, esophagus, H and N, lung, pelvis, prostate. Results: Daily imaging isocenter shifts from initial external tattoo alignment were dependent on the treatment site with < 0.5 cm translational shifts for H and N, Brain, and lung SBRT, while pelvis, esophagus shifts were ?1 cm. Mechanical delivery parameters were within tolerance levels for all sub-beams. The largest variations were for RapidArc plans: gantry angle 0.110.12,collimator angle 0.000.00, jaw positions 0.480.26, MLC leaf positions 0.660.08, MU 0.140.34. Conclusion: Per-control point validation reveals deviations between planned and delivered parameters. If used in a near real-time error checking system, patient safety can be improved by equipping the treatment delivery system with additional forcing functions which by-pass human error avenues.
Uncertain Time-Series Similarity: Return to the Basics
Palpanas, Themis
efficiency, prod- uct quality and safety, hydrologic and geologic observing systems, pollution management- sor networks are used in hydrologic and geologic ob- serving systems, pollution management in urban of ap- plication domains, including traffic flow management, me- teorology, astronomy, remote sensing
Cyclical Components in Economic Time Series: a Bayesian Approach
Harvey, Andrew C.; Trimbur, Thomas; van Dijk, Herman
2004-06-16
V v 0 4 2Z*b S f?He. f?H f?2DD f?H.S 2??e 2 f?D.e f?bfb f?eDb f?S.f 2D?. 6 f??f? f?b2f f?Se2 f?DH 2e?b 7 f?DDf f?b?D f?SSf f?D? 2e? Wdeoh 7= Srvwhulru phdqv iru d elyduldwh prgho iru txduwhuo| XV uhdo JGS dqg lqyhvwphqw iurp 4<7:=4 wr 5334...
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 ...
V-uniform ergodicity of threshold autoregressive nonlinear time series
Boucher, Thomas Richard
2004-09-30
-uniform ergodicity for the k-step chain: limsup bardblxbardblarrowrightinfinity E(V(Xn+k)|X0 = x) V(x) < 1 (2.3) and for all M < infinity sup bardblxbardbl<=
Time series models with an EGB2 conditional distribution
Harvey, Andrew; Caivano, Michele
2013-07-17
function; see Kleiber4 and Kotz (2003, ch6). The GB2 distribution contains many important distributions as special cases, including the Burr (#24; = 1) and log-logistic (#24; = 1; & = 1). GB2 distributions are fat tailed for ?nite #24; and & with upper... and lower tail indices of #17; = and #17; = #24;#23; respectively. The absolute value5 of a tf variate is GB2(f 1=2'; 2; 1=2; f=2) with tail index is #17; = #17; = f: 4Note that Kleiber and Kotz (2003) have #11; and #23; in reverse order, ie they write...
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
RESULTS Greenhouse Gas Time Series SUMMARY AND CONCLUSIONS
fitting method2 . Soil temperature at 5 cm taken concurrently with chambers Soil water content of top limited below a soil water content of 63% and are diffusion limited above 63%. Soil temperature with showing an exponential dependence of CO2 on temperature; b) Soil water content vs. temperature CO2 model
Change Detection in Time Series Data Using Wavelet Footprints
Shahabi, Cyrus
's Center of Excellence for Research and Aca- demic Training on Interactive Smart Oilfield Technologies (Ci
Self-organizing Time Series Model Tomoyuki Higuchi
Higuchi, Tomoyuki
.1) observation model yt r( jxt obs) (1.2) where xt is an nx 1 vector of unobserved sate variables, and yt R) (1.6) where F G, and H are nx nx, nx nv , and ny nx matrices, respectively. Q and R enormously with respect to the state dimension nx (Carlin, Polson and Sto er 1992, Fahrmeir 1992, Fruhwirth
Essays on Bayesian Time Series and Variable Selection
De, Debkumar
2014-05-08
Estimating model parameters in dynamic model continues to be challenge. In my dissertation, we have introduced a Stochastic Approximation based parameter estimation approach under Ensemble Kalman Filter set-up. Asymptotic properties of the resultant...
DETECTING REGIMES IN TEMPERATURE TIME SERIES PATRICK J. CLEMINS
Povinelli, Richard J.
, such as the northern hemisphere during the winter, tend to follow a regime structure. The El Nino cycle, which has two
Condition Evaluation for Speculative Systems: a Streaming Time Series Case
Wang, Xiaoyang "Sean"
., Univ. of Vermont xywang@cs.uvm.edu Like Gao CS Dept., Univ. of Vermont lgao@cs.uvm.edu Min Wang IBM T
Applications of Time Series in Finance and Macroeconomics
Ibarra Ramirez, Raul
2011-08-08
out-of-sample fore- casts for the in ation rate in Mexico. Factor models are useful to summarize the information contained in large datasets. We evaluate the role of using a wide range of macroeconomic variables to forecast in ation, with particular...-2006 : : : : 42 V Stochastic Dominance Test : : : : : : : : : : : : : : : : : : : : : : : 46 VI Forecasting Results: Headline In ation : : : : : : : : : : : : : : : : : 65 VII Forecasting Results: Core In ation : : : : : : : : : : : : : : : : : : : 66 VIII...
Modeling and Prediction of Time Series of Directed Binary Networks
Betancourt, Brenda
2015-01-01
O. , Sindharan, K. & Tewari, A. (2010). Learning exponentialC . Shalev-Shwartz, S. & Tewari, A. (2011). Stochasticby Shalev- Shwartz & Tewari (2011) (see also Carpenter,
Stochastic Simulation Methods for Precipitation and Streamflow Time Series
Li, Chao
2013-04-30
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 ...
Cowan, Ray Franklin
We present evidence of D[superscript 0]-D?[superscript 0] mixing using a time-dependent amplitude analysis of the decay D0?K[superscript +]?[superscript -]?[superscript 0] in a data sample of 384??fb[superscript -1] ...
Mechanical Engineering Department Seminar Series
Awtar, Shorya
electrode. The solar battery provides a promising approach of making renewable energy more affordable. . BioMechanical Engineering Department Seminar Series Rechargeable K-Oxygen and Solar Batteries: From of fuel cells and metal-air batteries. In my talk, I will first present a K-O2 battery that uses K+ ions
Series expansions and sudden singularities
John D. Barrow; S. Cotsakis; A. Tsokaros
2013-01-28
We construct solutions of the Friedmann equations near a sudden singularity using generalized series expansions for the scale factor, the density, and the pressure of the fluid content. In this way, we are able to arrive at a solution with a sudden singularity containing two free constants, as required for a general solution of the cosmological equations.
UCDscholarcast Series 13 (Spring 2015)
with Dublin City Public Libraries) Series Editor: Derek Hand General Editor: P.J. Mathews UCDscholarcast #12 itself. Barrytown functions as a self-contained and seemingly insular space where the notion of public is the dissolution of the boundaries that exist between public and private. Within both the Rabbitte household
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
Destexhe, Alain
of the electrode, considered as an arbitrary linear circuit. This circuit's impulse response is first established analysis and digital compensation of electrode artifacts. Zuzanna Piwkowska PhD thesis defended at the UNIC conductance, each generated by a stochastic process. We used this model as a basis for analysis tools allowing
MULTI-SET MULTI-TEMPORAL CANONICAL ANALYSIS OF PSORIASIS Technical University of Denmark
MULTI-SET MULTI-TEMPORAL CANONICAL ANALYSIS OF PSORIASIS IMAGES ҽ different time series collected from psoriasis patients dur- ing 4 different sessions is conducted analysis, im- age registration, psoriasis 1. INTRODUCTION One of the main problems in the treatment
Short communication Nonlinear analysis of gait kinematics to track changes in oxygen consumption
Chelidze, David
Short communication Nonlinear analysis of gait kinematics to track changes in oxygen consumption systems analysis, kinematic angle time series were used to estimate phase space warping based features Center, Kansas St, Natick, MA 01760, USA b Mechanical Engineering & Applied Mechanics, University
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
CERNA WORKING PAPER SERIES Strategic inputs into patent pools
Paris-Sud XI, Universit 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
time poverty, a concept increasingly used in the development literature. An empirical study from of poverty alleviation in over 30 countries worldwide. Trained as a sociologist, her research focuses of poverty and inform poverty alleviation strategies. The allocation of time among men, women, and children
Simpson, Jared [Wellcome Trust Sanger Institute
2013-01-22
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
Mavrommatis, Kostas [JGI
2013-01-22
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.
Real-Time Reliable Prediction of Linear-Elastic Mode-I Stress Intensity Factors for Failure Analysis
Huynh, Dinh Bao Phuong
Modern engineering analysis requires accurate, reliable and efficient evaluation of outputs of interest. These outputs are functions of "input" parameter that serve to describe a particular configuration of the system, ...
Summer Series 2012 - Shashi Buluswar
Shashi Buluswar
2013-06-24
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
2012-08-08
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.
Prevosto, L.; Mancinelli, B.; Kelly, H.; Instituto de Fsica del Plasma , Departamento de Fsica, Facultad de Ciencias Exactas y Naturales Ciudad Universitaria Pab. I, 1428 Buenos Aires
2013-12-15
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.
Bibliography of the Scripps Institution of Oceanography Reference Series 2001
Criqui, Nan P.; Kuhns, Kittie K.
2002-01-01
Scripps Institution of Oceanography Reference Series 2001.SCRIPPS INSTITUTION OF OCEANOGRAPHY REFERENCE SERIES 01-01
Quantum Mechanics Summary/Review Spring 2009 Compton Lecture Series
Quantum Mechanics Summary/Review Spring 2009 Compton Lecture Series: From Quantum Mechanics one component at a time. Planck's constant determines the scale at which quantum mechanical effects could get rid of quantum mechanical effects The "wavelength" of particles given by h mv would all
Synchronous Machine Parameter Estimation Using Orthogonal Series Expansion
Synchronous Machine Parameter Estimation Using Orthogonal Series Expansion J. Rico G. T. Heydt A an alternative to estimate armature circuit parameters of large utility generators using real time operating data of digital fault recorder data to identify synchronous machine parameters. 1. INTRODUCTION The use orthogonal
MARINE ECOLOGY PROGRESS SERIES Mar Ecol Prog Ser
Krug, Patrick J.
MARINE ECOLOGY PROGRESS SERIES Mar Ecol Prog Ser Vol. 312: 149159, 2006 Published April 24 therefore have limited time to locate and colonize a suitable adult habitat. Domi- nant spatial competitors consent of the publisher #12;Mar Ecol Prog Ser 312: 149159, 2006 energy reserves, they became `desperate
Sommer, S; Tinh Tran, T
2008-04-08
Washington Safety Management Solutions, LLC developed web-based software to improve the efficiency and consistency of hazard identification and analysis, control selection and classification, and to standardize analysis reporting at Savannah River Site. In the new nuclear age, information technology provides methods to improve the efficiency of the documented safety analysis development process which includes hazard analysis activities. This software provides a web interface that interacts with a relational database to support analysis, record data, and to ensure reporting consistency. A team of subject matter experts participated in a series of meetings to review the associated processes and procedures for requirements and standard practices. Through these meetings, a set of software requirements were developed and compiled into a requirements traceability matrix from which software could be developed. The software was tested to ensure compliance with the requirements. Training was provided to the hazard analysis leads. Hazard analysis teams using the software have verified its operability. The software has been classified as NQA-1, Level D, as it supports the analysis team but does not perform the analysis. The software can be transported to other sites with alternate risk schemes. The software is being used to support the development of 14 hazard analyses. User responses have been positive with a number of suggestions for improvement which are being incorporated as time permits. The software has enforced a uniform implementation of the site procedures. The software has significantly improved the efficiency and standardization of the hazard analysis process.
Zahir Salhi; Earl Babcock; Alexander Ioffe
2012-01-25
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.
Boyer, Edmond
PIXE, Micro-PIXE and RBS Analysis of Thermal Aged Rubber Material : On The Additives Behaviour Villeurbanne Cedex-France. ABSTRACT PIXE, micro-PIXE and RBS techniques were employed to monitor the behaviour of the rubber material itself. Keywords : PIXE, micro-PIXE, RBS, Rubber, Thermal Aging, Segregation, Additives
H-Series Cast Austenitic Stainless Steels
Broader source: Energy.gov [DOE]
Cast H-Series austenitic steels are used extensively in several industries for a broad range of high-temperature applications. The H-Series stainless steels have evolved over many years of complex...
Memory Constraints for Power-Law Series
Guo, Fangjian; Zhao, Zhi-Dan; Zhou, Tao
2015-01-01
Many time series produced by complex systems are empirically found to follow power-law distributions with different exponents $\\alpha$. By permuting the independently drawn samples from a power-law distribution, we present non-trivial bounds on the memory (1st-order autocorrelation) as a function of $\\alpha$, which are markedly different from the ordinary $\\pm 1$ bounds for Gaussian or uniform distributions. When $1 3$, the upper bound remains +1 while the lower bound descends below 0. Theoretical bounds agree well with numerical simulations. Based on the ratings of MovieLens and posts in Twitter, we also find that empirical power-law distributed data produced by human activities conform to such constraints.
Chu, Xi
Optimization of high-order harmonic generation by genetic algorithm and wavelet time laser fields by means of the genetic algorithm optimization of the laser-pulse amplitude and phase optimization 11 of the laser-pulse shape and intra-atomic phase matching. We show that by combining the GA
Jiang, Hai
. Zhuang is with the Centre for Wireless Communications, Depart- ment of Electrical and Computer3988 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 7, NO. 10, OCTOBER 2008 Service Time control (MAC) is es- sential for a wireless network without a central controller. In previous work
Chu, Shih-I
-dimensional quantum study of the coherent control of high-order harmonic generation HHG processes in intense pulsed.65.Ky, 32.80.Wr The study of coherent control of atomic and molecular processes is a subject of muchOptimization of high-order harmonic generation by genetic algorithm and wavelet time
NREL Variability and Reserves Analysis for the Western Interconnect (Presentation)
Milligan, M.; King, J.
2011-10-01
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.
Meacher, Mary Melanie
1986-01-01
of digesta through the gastrointestinal tract. . . . . . . CHAPTER V. DISCUSSION. 31 31 35 35 39 . 61 TABLE OF CONTENTS (continued) CONCLUSION. REFERENCES, . 68 . 69 VITA LIST OF TABLES TABLE Page 1 Composition of basal fiber free control diet.... . . . . 20 2 Percentage composition of the experimental diets. . . . 22 3 Percentage composition of wheat bran and oat bran. . . . . . . , 22 4 Transit time measurements. 30 5 Effect of dietary fiber on food and energy intake. . . . . . . . 32 6 Effect...
Bank, J.; Hambrick, J.
2013-05-01
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.
Alonso, Juan J. [Stanford University; Iaccarino, Gianluca [Stanford University
2013-08-25
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.
ENGI 5432 3. Fourier Series Page 3.01 3. Fourier Series
George, Glyn
ENGI 5432 3. Fourier Series Page 3.01 3. Fourier Series This short chapter offers a very brief review of [discrete] Fourier series. The Fourier series of f (x) on the interval (L, L) is ( ) 0 1 cos - = = ... The {an, bn} are the Fourier coefficients of f (x). Note that the cosine functions (and the function 1
Serie e trasformate di Fourier (1) Verificare i seguenti sviluppi in serie di Fourier
Presilla, Carlo
F12 Serie e trasformate di Fourier (1) Verificare i seguenti sviluppi in serie di Fourier (a) sgn . (2) Sviluppare in serie trigonometrica di Fourier nell'intervallo [-, ] la funzione f(x) = ex . Dimostrare che n=1 1 1 + n2 = 1 2 coth - 1 (3) Sviluppare in serie trigonometrica di Fourier nell
The summation of certain series
Holder, Leonard Irvin
1951-01-01
write //= / k =/ C~k-/J+ k~/ But since ~ ? = Z ?, we have ~ 2 g. ~ 2k=/ / / )=E- ? ' /I=/ ~C&~2! = (ig '=' a' Z(&p/(/ or, For p ~ 1, 2, 3 the sums are 7r B Now, if we subtract sides of equation (5-11), the series z= ~~. - we obtain from... A = ~ (/FZ) ~CF and ~ = ~ (/ ? ig. Now mr cot 8 F c/zt' 8' = ~ + ~i//g ~/n8 ZD/ BF ca F c ms' &/'ng s/'n E and cps (g p) ? ceo(s/e) ' cps(g-8) ? ccrc (agP Thus C ) ~ p( p amer~ ~u ca5 z /z 77cl ? &o5fz rrip a. nd 7j cr (' ) ? ZW//7 d VD 77...
The mass-sheet degeneracy and time-delay cosmography: Analysis of the strong lens RXJ1131-1231
Birrer, Simon; Refregier, Alexandre
2015-01-01
We present extended modeling of the strong lens system RXJ1131-1231 with archival data in two HST bands in combination with existing line-of-sight contribution and velocity dispersion estimates. We focus on the accuracy and reliability of the source reconstruction scale and lens model assumptions and its implication on time-delay cosmography. We map out the mass-sheet degeneracy and especially the degeneracy pointed out by Schneider and Sluse (2013) using the source reconstruction scale. In a second step, we fold in velocity dispersion and external convergence measurements. We then infer angular diameter distance relations for the time-delays without cosmological priors. For a flat $\\Lambda$CDM cosmology, these constraints lead to constraints of the Hubble constant $H_0$ as a function of the matter density $\\Omega_m$ in the form of $H_0 = H_0^*/[1 + 0.5(\\Omega_m-\\Omega_m^*)] \\pm 5\\%$ with $H_0^*= 71.7^{+3.6}_{-3.6}$ km s$^{-1}$Mpc$^{-1}$ being the value for $H_0$ at $\\Omega_m^*=0.3$. This is a significant imp...