Roweis, Sam
SCIA 2003 Tutorial: Hidden Markov Models Sam Roweis, University of Toronto June 29, 2003 Probabilistic Generative Models for Time Series #15; Stochastic models for time-series: y 1 ; y 2 ; : : : ; y #15; Add noise to make the system stochastic: p(y t jy t 1 ;y t 2 ; : : : ;y t k ) #15; Markov models
Turbulencelike Behavior of Seismic Time Series
Manshour, P.; Saberi, S. [Department of Physics, Sharif University of Technology, Tehran 11155-9161 (Iran, Islamic Republic of); Sahimi, Muhammad [Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, California 90089-1211 (United States); Peinke, J. [Institute of Physics, Carl von Ossietzky University, D-26111 Oldenburg (Germany); Pacheco, Amalio F. [Department of Theoretical Physics, University of Zaragoza, Pedro Cerbuna 12, 50009 Zaragoza (Spain); Rahimi Tabar, M. Reza [Department of Physics, Sharif University of Technology, Tehran 11155-9161 (Iran, Islamic Republic of); Institute of Physics, Carl von Ossietzky University, D-26111 Oldenburg (Germany); CNRS UMR 6202, Observatoire de la Cote d'Azur, BP 4229, 06304 Nice Cedex 4 (France)
2009-01-09T23:59:59.000Z
We report on a stochastic analysis of Earth's vertical velocity time series by using methods originally developed for complex hierarchical systems and, in particular, for turbulent flows. Analysis of the fluctuations of the detrended increments of the series reveals a pronounced transition in their probability density function from Gaussian to non-Gaussian. The transition occurs 5-10 hours prior to a moderate or large earthquake, hence representing a new and reliable precursor for detecting such earthquakes.
Regression quantiles for time series
Cai, Zongwu
2002-02-01T23:59:59.000Z
~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 Lindeberg–Feller 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...
Exact Primitives for Time Series Data Mining
Mueen, Abdullah Al
2012-01-01T23:59:59.000Z
142 Sony AIBO Robot: Surfacetrajectories and ac- celerometer signals from SONY AIBOclasses of time series from the SONY AIBO accelerometer. (b)
Statistical criteria for characterizing irradiance time series.
Stein, Joshua S.; Ellis, Abraham; Hansen, Clifford W.
2010-10-01T23:59:59.000Z
We propose and examine several statistical criteria for characterizing time series of solar irradiance. Time series of irradiance are used in analyses that seek to quantify the performance of photovoltaic (PV) power systems over time. Time series of irradiance are either measured or are simulated using models. Simulations of irradiance are often calibrated to or generated from statistics for observed irradiance and simulations are validated by comparing the simulation output to the observed irradiance. Criteria used in this comparison should derive from the context of the analyses in which the simulated irradiance is to be used. We examine three statistics that characterize time series and their use as criteria for comparing time series. We demonstrate these statistics using observed irradiance data recorded in August 2007 in Las Vegas, Nevada, and in June 2009 in Albuquerque, New Mexico.
Wavelet Methods for Time Series Analysis Half-Day Workshop Presented at UNSW
Percival, Don
Wavelet Methods for Time Series Analysis Half-Day Workshop Presented at UNSW Don Percival Visiting://faculty.washington.edu/dbp Overview of Workshop Â· two sessions, each 1 hour and 45 minutes long I: introduction to wavelets and wavelet transforms II: wavelet-based statistical analysis of time series - wavelet variance (also known
Wavelet Methods for Time Series Analysis Half-Day Workshop Presented at UQ St Lucia Campus
Percival, Don
Wavelet Methods for Time Series Analysis Half-Day Workshop Presented at UQ St Lucia Campus Don://faculty.washington.edu/dbp Overview of Workshop Â· two sessions, each 1 hour and 45 minutes long I: introduction to wavelets and wavelet transforms II: wavelet-based statistical analysis of time series - wavelet variance (also known
Paris-Sud XI, UniversitÃ© de
1 Time series modeling and large scale global solar radiation forecasting from geostationary global solar radiation. In this paper, we use geostationary satellites data to generate 2-D time series of solar radiation for the next hour. The results presented in this paper relate to a particular territory
Integrated method for chaotic time series analysis
Hively, L.M.; Ng, E.G.
1998-09-29T23:59:59.000Z
Methods and apparatus for automatically detecting differences between similar but different states in a nonlinear process monitor nonlinear data are disclosed. Steps include: acquiring the data; digitizing the data; obtaining nonlinear measures of the data via chaotic time series analysis; obtaining time serial trends in the nonlinear measures; and determining by comparison whether differences between similar but different states are indicated. 8 figs.
Integrated method for chaotic time series analysis
Hively, Lee M. (Philadelphia, TN); Ng, Esmond G. (Concord, TN)
1998-01-01T23:59:59.000Z
Methods and apparatus for automatically detecting differences between similar but different states in a nonlinear process monitor nonlinear data. Steps include: acquiring the data; digitizing the data; obtaining nonlinear measures of the data via chaotic time series analysis; obtaining time serial trends in the nonlinear measures; and determining by comparison whether differences between similar but different states are indicated.
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 Laloë1 to abundance. This means (i) that catchability is constant and (ii) that all the biomass is catchable. If so, relative variations in CPUE indicate the same relative variations in biomass. Myers and Worm consider
Using Fourier Series to Model Hourly Energy Use in Commercial Buildings
Dhar, A.; Reddy, T. A.; Claridge, D. E.
1993-01-01T23:59:59.000Z
Fourier series analysis is eminently suitable for modeling strongly periodic data. Weather independent energy use such as lighting and equipment load in commercial buildings is strongly periodic and is thus appropriate for Fourier series treatment...
Time Series Models: Hidden Markov Models
Roweis, Sam
Time Series Models: Hidden Markov Models & Linear Dynamical Systems Sam Roweis Gatsby Computational before. Discrete state: { Moore and Mealy machines (engineering) { stochastic #12;nite state automata (CS chain with stochastic measurements. Gauss-Markov process in a pancake. PSfrag replacements x 1 y 1 x 2 y
Time Series Models: Hidden Markov Models
Roweis, Sam
Time Series Models: Hidden Markov Models & Linear Dynamical Systems Sam Roweis Gatsby Computational. Discrete state: { Moore and Mealy machines (engineering) { stochastic #12;nite state automata (CS with stochastic measurements. Gauss-Markov process in a pancake. PSfrag replacements x 1 y 1 x 2 y 2 x 3 y 3 x T y
Multilinear Dynamical Systems for Tensor Time Series
Russell, Stuart
of the stock prices of n multiple companies comprise a time series of 6 × n tensors. A grayscale video sequence ocean temperatures will increase. Prediction of stock prices may not only inform investors but also help to stabilize the economy and prevent market collapse. The relationships between particular subsets of tensor
Segmenting Time Series for Weather Forecasting
Sripada, Yaji
for generating textual summaries. Our algorithm has been implemented in a weather forecast generation system. 1 presentation, aid human understanding of the underlying data sets. SUMTIME is a research project aiming turbines. In the domain of meteorology, time series data produced by numerical weather prediction (NWP
Y-12 Construction hits one million-hour mark without a lost-time...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Construction hits one ... Y-12 Construction hits one million-hour mark without a lost-time accident Posted: August 30, 2012 - 5:30pm The B&W Y-12 Direct-Hire Construction team has...
Some results of analysis of source position time series
Malkin, Zinovy
2015-01-01T23:59:59.000Z
Source position time series produced by International VLBI Service for Geodesy and astrometry (IVS) Analysis Centers were analyzed. These series was computed using different software and analysis strategy. Comparison of this series showed that they have considerably different scatter and systematic behavior. Based on the inspection of all the series, new sources were identified as sources with irregular (non-random) position variations. Two statistics used to estimate the noise level in the time series, namely RMS and ADEV were compared.
Farritor, Shane
Page 1/2 Date of Accident: _____/_____/________ Day of Week: __________________ Hour: _____:______ AM / PM TIME VEHICLE ACCIDENT REPORT TO BE USED BY ALL STATE AGENCIES to make immediate report of all motor vehicle accidents involving State employees, vehicles, equipment or where highways could result
Exact Primitives for Time Series Data Mining
Mueen, Abdullah Al
2012-01-01T23:59:59.000Z
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 947–956,
Forecasting the underlying potential governing climatic time series
Livina, V N; Mudelsee, M; Lenton, T M
2012-01-01T23:59:59.000Z
We introduce a technique of time series analysis, potential forecasting, which is based on dynamical propagation of the probability density of time series. We employ polynomial coefficients of the orthogonal approximation of the empirical probability distribution and extrapolate them in order to forecast the future probability distribution of data. The method is tested on artificial data, used for hindcasting observed climate data, and then applied to forecast Arctic sea-ice time series. The proposed methodology completes a framework for `potential analysis' of climatic tipping points which altogether serves anticipating, detecting and forecasting climate transitions and bifurcations using several independent techniques of time series analysis.
14.384 Time Series Analysis, Fall 2002
Kuersteiner, Guido M.
Theory and application of time series methods in econometrics, including representation theorems, decomposition theorems, prediction, spectral analysis, estimation with stationary and nonstationary processes, VARs, unit ...
A Framework for Comparison of Spatiotemporal and Time Series...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Framework for Comparison of Spatiotemporal and Time Series Datasets NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy,...
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
Discovering Ecosystem Models from Time-Series Data
Langley, Pat
Discovering Ecosystem Models from Time-Series Data Dileep George, 1 Kazumi Saito, 2 Pat Langley, 1. Ecosystem models are used to interpret and predict the in- teractions of species and their environment. In this paper, we address the task of inducing ecosystem models from background knowledge and time- series data
Distribution Based Data Filtering for Financial Time Series Forecasting
Bailey, James
recent past. In this paper, we address the challenge of forecasting the behavior of time series using@unimelb.edu.au Abstract. Changes in the distribution of financial time series, particularly stock market prices, can of stock prices, which aims to forecast the future values of the price of a stock, in order to obtain
Analysis of Time Series Using Compact Model-Based Descriptions
Kriegel, Hans-Peter
Analysis of Time Series Using Compact Model-Based Descriptions Hans-Peter Kriegel, Peer Kr this is a combination of the coefficients 1, . . . , 3 representing the three input time series using a function f-of-the-art compression methods. The results are visually presented in a very concise way so that the user can easily
APPARENT WATER OPTICAL PROPERTIES AT THE CARIBBEAN TIME SERIES STATION
Gilbes, Fernando
APPARENT WATER OPTICAL PROPERTIES AT THE CARIBBEAN TIME SERIES STATION Roy A. Armstrong, Jose M of Puerto Rico MayagÃ¼ez, Puerto Rico 00681 ABSTRACT The Caribbean Time Series, located 28 nautical miles in near- surface waters of the northeastern Caribbean Basin. Apparent optical properties such as, remote
IMPROVEMENTS TO THE RADIANT TIME SERIES METHOD COOLING LOAD CALCULATION
IMPROVEMENTS TO THE RADIANT TIME SERIES METHOD COOLING LOAD CALCULATION PROCEDURE By BEREKET, Australia 1998 Submitted to the Faculty of the Graduate College of the Oklahoma State University in partial TO THE RADIANT TIME SERIES METHOD COOLING LOAD CALCULATION PROCEDURE Dissertation Approved: Dr. Jeffrey D
Wavelet analysis and scaling properties of time series
P. Manimaran; Prasanta K. Panigrahi; Jitendra C. Parikh
2005-08-30T23:59:59.000Z
We propose a wavelet based method for the characterization of the scaling behavior of non-stationary time series. It makes use of the built-in ability of the wavelets for capturing the trends in a data set, in variable window sizes. Discrete wavelets from the Daubechies family are used to illustrate the efficacy of this procedure. After studying binomial multifractal time series with the present and earlier approaches of detrending for comparison, we analyze the time series of averaged spin density in the 2D Ising model at the critical temperature, along with several experimental data sets possessing multi-fractal behavior.
Estimation of connectivity measures in gappy time series
Papadopoulos, G
2015-01-01T23:59:59.000Z
A new method is proposed to compute connectivity measures on multivariate time series with gaps. Rather than removing or filling the gaps, the rows of the joint data matrix containing empty entries are removed and the calculations are done on the remainder matrix. The method, called measure adapted gap removal (MAGR), can be applied to any connectivity measure that uses a joint data matrix, such as cross correlation, cross mutual information and transfer entropy. MAGR is favorably compared using these three measures to a number of known gap-filling techniques, as well as the gap closure. The superiority of MAGR is illustrated on time series from synthetic systems and financial time series.
14.384 Time Series Analysis, Fall 2007
Mikusheva, Anna, 1976-
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 ...
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 ...
Local prediction of turning points of oscillating time series
D. Kugiumtzis
2008-08-06T23:59:59.000Z
For oscillating time series, the prediction is often focused on the turning points. In order to predict the turning point magnitudes and times it is proposed to form the state space reconstruction only from the turning points and modify the local (nearest neighbor) model accordingly. The model on turning points gives optimal prediction at a lower dimensional state space than the optimal local model applied directly on the oscillating time series and is thus computationally more efficient. Monte Carlo simulations on different oscillating nonlinear systems showed that it gives better predictions of turning points and this is confirmed also for the time series of annual sunspots and total stress in a plastic deformation experiment.
Continuous Time Random Walks and South Spain Seismic Series
A. Posadas; J. Morales; F. Vidal; O. Sotolongo-Costa; J. C. Antoranz
2002-05-27T23:59:59.000Z
Levy flights were introduced through the mathematical research of the algebra or random variables with infinite moments. Mandelbrot recognized that the Levy flight prescription had a deep connection to scale-invariant fractal random walk trajectories. The theory of Continuous Time Random Walks (CTRW) can be described in terms of Levy distribution functions and it can be used to explain some earthquake characteristics like the distribution of waiting times and hypocenter locations in a seismic region. This paper checks the validity of this assumption analyzing three seismic series localized in South Spain. The three seismic series (Alboran, Antequera and Loja) show qualitatively the same behavior, although there are quantitative differences between them.
Fast and Flexible Multivariate Time Series Subsequence Search Kanishka Bhaduri
Oza, Nikunj C.
search algorithm capable of subsequence search on any subset of variables. Moreover, MTS subsequence approach" may include searching on parameters such as speed, descent rate, vertical flight pathFast and Flexible Multivariate Time Series Subsequence Search Kanishka Bhaduri MCT Inc., NASA ARC
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
Wavelet Methods for Time Series Analysis Don Percival
Percival, Don
Wavelet Methods for Time Series Analysis Don Percival Applied Physics Laboratory Box 355640 in the morning and two in the afternoon, each about 45 minutes long) Â· Monday 1: introduction to wavelets and wavelet transforms (Part I) 2: introduction to the discrete wavelet transform (Part II) 3 & 4: basic
Visual Analysis of Frequent Patterns In Large Time Series
Ramakrishnan, Naren
1 shows an example on how to monitor chiller efficiency in data centers using a pair of data center chiller time series in which different motifs were discovered. The illustrated process can be subdivided valued vector ti captures the data values (e.g., chiller utilization in the data center example), we
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 dedicated models to forecast the 12 individual months directly. Results indicate better performance is superior to naÃ¯ve forecasts based on persistence and seasonality, and is better than results quoted
Mining Deviants in Time Series Data Streams S. Muthukrishnan
Shah, Rahul
outliers. There is a long history of study of various outliers in statistics and databases, and a recent aberrations. Deviants are known to be of great mining value in time series databases. We present first (highway, telephone, internet, web click), Supported by National Science foundation grants EIA 0087022
Chaotic time series prediction using artificial neural networks
Bartlett, E.B.
1991-12-31T23:59:59.000Z
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.
1991-01-01T23:59:59.000Z
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.
Improving predictability of time series using maximum entropy methods
Gregor Chliamovitch; Alexandre Dupuis; Bastien Chopard; Anton Golub
2014-11-28T23:59:59.000Z
We discuss how maximum entropy methods may be applied to the reconstruction of Markov processes underlying empirical time series and compare this approach to usual frequency sampling. It is shown that, at least in low dimension, there exists a subset of the space of stochastic matrices for which the MaxEnt method is more efficient than sampling, in the sense that shorter historical samples have to be considered to reach the same accuracy. Considering short samples is of particular interest when modelling smoothly non-stationary processes, for then it provides, under some conditions, a powerful forecasting tool. The method is illustrated for a discretized empirical series of exchange rates.
Improving predictability of time series using maximum entropy methods
Chliamovitch, Gregor; Chopard, Bastien; Golub, Anton
2014-01-01T23:59:59.000Z
We discuss how maximum entropy methods may be applied to the reconstruction of Markov processes underlying empirical time series and compare this approach to usual frequency sampling. It is shown that, at least in low dimension, there exists a subset of the space of stochastic matrices for which the MaxEnt method is more efficient than sampling, in the sense that shorter historical samples have to be considered to reach the same accuracy. Considering short samples is of particular interest when modelling smoothly non-stationary processes, for then it provides, under some conditions, a powerful forecasting tool. The method is illustrated for a discretized empirical series of exchange rates.
Andresen, Gorm Bruun; Greiner, Martin
2014-01-01T23:59:59.000Z
We present a new global high-resolution renewable energy atlas (REatlas) that can be used to calculate customised hourly time series of wind and solar PV power generation. In this paper, the atlas is applied to produce 32-year-long hourly model wind power time series for Denmark for each historical and future year between 1980 and 2035. These are calibrated and validated against real production data from the period 2000 to 2010. The high number of years allows us to discuss how the characteristics of Danish wind power generation varies between individual weather years. As an example, the annual energy production is found to vary by $\\pm10\\%$ from the average. Furthermore, we show how the production pattern change as small onshore turbines are gradually replaced by large onshore and offshore turbines. In most energy system analysis tools, fixed hourly time series of wind power generation are used to model future power systems with high penetrations of wind energy. Here, we compare the wind power time series fo...
SUPPLEMENT Figure 5. Wavelet time series analysis for yearly LBM outbreaks. a) The normalized time-series. b) Temporally-local wavelet power spectrum (dark red indicates the strongest periodicity while white indicates the weakest periodicity). c) Spatiotemporally-global wavelet spectrum. d) Time-series plot
De Bilt, 2012 | Technical Report ; TR-326 Time series transformation tool
Stoffelen, Ad
De Bilt, 2012 | Technical Report ; TR-326 Time series transformation tool: description #12;#12;Time series transformation tool: description of the program to generate time series consistent ransformation tool: description of the program to generate time series consistent with the KNMI'06 climate
Voyant, Cyril; Muselli, Marc; Paoli, Christophe; Nivet, Marie Laure
2014-01-01T23:59:59.000Z
When a territory is poorly instrumented, geostationary satellites data can be useful to predict global solar radiation. In this paper, we use geostationary satellites data to generate 2-D time series of solar radiation for the next hour. The results presented in this paper relate to a particular territory, the Corsica Island, but as data used are available for the entire surface of the globe, our method can be easily exploited to another place. Indeed 2-D hourly time series are extracted from the HelioClim-3 surface solar irradiation database treated by the Heliosat-2 model. Each point of the map have been used as training data and inputs of artificial neural networks (ANN) and as inputs for two persistence models (scaled or not). Comparisons between these models and clear sky estimations were proceeded to evaluate the performances. We found a normalized root mean square error (nRMSE) close to 16.5% for the two best predictors (scaled persistence and ANN) equivalent to 35-45% related to ground measurements. F...
Multi-horizon solar radiation forecasting for Mediterranean locations using time series models
Voyant, Cyril; Muselli, Marc; Nivet, Marie Laure
2013-01-01T23:59:59.000Z
Considering the grid manager's point of view, needs in terms of prediction of intermittent energy like the photovoltaic resource can be distinguished according to the considered horizon: following days (d+1, d+2 and d+3), next day by hourly step (h+24), next hour (h+1) and next few minutes (m+5 e.g.). Through this work, we have identified methodologies using time series models for the prediction horizon of global radiation and photovoltaic power. What we present here is a comparison of different predictors developed and tested to propose a hierarchy. For horizons d+1 and h+1, without advanced ad hoc time series pre-processing (stationarity) we find it is not easy to differentiate between autoregressive moving average (ARMA) and multilayer perceptron (MLP). However we observed that using exogenous variables improves significantly the results for MLP . We have shown that the MLP were more adapted for horizons h+24 and m+5. In summary, our results are complementary and improve the existing prediction techniques ...
1MaPhySto Workshop 9/04 Nonlinear Time Series ModelingNonlinear Time Series Modeling
. "Stylized facts" concerning financial time series 4. ARCH and GARCH models 5. Forecasting with GARCH 6 of multivariate RV equivalence 8.5 examples 8.6 Extremes for GARCH and SV models 8.7 Summary of results for ACF of GARCH & SV models #12;4MaPhySto Workshop 9/04 Part III: Nonlinear and NonGaussian State-Space Models 1
Characterizing Weak Chaos using Time Series of Lyapunov Exponents
R. M. da Silva; C. Manchein; M. W. Beims; E. G. Altmann
2015-06-13T23:59:59.000Z
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.
State Space Reconstruction for Multivariate Time Series Prediction
I. Vlachos; D. Kugiumtzis
2008-09-12T23:59:59.000Z
In the nonlinear prediction of scalar time series, the common practice is to reconstruct the state space using time-delay embedding and apply a local model on neighborhoods of the reconstructed space. The method of false nearest neighbors is often used to estimate the embedding dimension. For prediction purposes, the optimal embedding dimension can also be estimated by some prediction error minimization criterion. We investigate the proper state space reconstruction for multivariate time series and modify the two abovementioned criteria to search for optimal embedding in the set of the variables and their delays. We pinpoint the problems that can arise in each case and compare the state space reconstructions (suggested by each of the two methods) on the predictive ability of the local model that uses each of them. Results obtained from Monte Carlo simulations on known chaotic maps revealed the non-uniqueness of optimum reconstruction in the multivariate case and showed that prediction criteria perform better when the task is prediction.
Jefferson Lab Group Gets 10 Million Hours of Supercomputer Time | Jefferson
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn12 InvestigationLab Group Gets 10 Million Hours of
Simulation of wind-speed time series for wind-energy conversion analysis.
Corotis, R.B.
1982-06-01T23:59:59.000Z
In order to investigate operating characteristics of a wind energy conversion system it is often desirable to have a sequential record of wind speeds. Sometimes a long enough actual data record is not available at the time an analysis is needed. This may be the case if, e.g., data are recorded three times a day at a candidate wind turbine site, and then the hourly performance of generated power is desired. In such cases it is often possible to use statistical characteristics of the wind speed data to calibrate a stochastic model and then generate a simulated wind speed time series. Any length of record may be simulated by this method, and desired system characteristics may be studied. A simple wind speed simulation model, WEISIM, is developed based on the Weibull probability distribution for wind speeds with a correction based on the lag-one autocorrelation value. The model can simulate at rates from one a second to one an hour, and wind speeds can represent short-term averages (e.g., 1-sec averages) or longer-term averages (e.g., 1-min or 1 hr averages). The validity of the model is verified with PNL data for both histogram characteristics and persistance characteristics.
Time series modeling of autonomous hybrid power systems
Quinlan, P.J.; Beckman, W.A.; Mitchell, J.W.; Klein, S.A.; Blair, N.J. [Univ. of Wisconsin, Madison, WI (United States). Solar Energy Lab.
1997-12-31T23:59:59.000Z
The Solar Energy Laboratory (SEL) has developed a wind diesel PV hybrid systems simulator, UW-HYBRID 1.0, as an application of the TRNSYS 14.2 time-series simulation environment. The simulator provides a customizable user interface. The simulation provides an AC/DC buss, diesel generators, wind turbines, PV modules, a battery bank, and power converter. PV system simulations include solar angle and peak power tracking options. Diesel simulations include estimated fuel-use and waste heat output, and are dispatched using a least-cost of fuel strategy. Wind system simulations include varying air density, wind shear and wake effects. Time step duration is user-selectable. This paper provides a description of the simulation models and example output.
Time series power flow analysis for distribution connected PV generation.
Broderick, Robert Joseph; Quiroz, Jimmy Edward; Ellis, Abraham; Reno, Matthew J. [Georgia Institute of Technology, Atlanta, GA; Smith, Jeff [Electric Power Research Institute, Knoxville, TN; Dugan, Roger [Electric Power Research Institute, Knoxville, TN
2013-01-01T23:59:59.000Z
Distributed photovoltaic (PV) projects must go through an interconnection study process before connecting to the distribution grid. These studies are intended to identify the likely impacts and mitigation alternatives. In the majority of the cases, system impacts can be ruled out or mitigation can be identified without an involved study, through a screening process or a simple supplemental review study. For some proposed projects, expensive and time-consuming interconnection studies are required. The challenges to performing the studies are twofold. First, every study scenario is potentially unique, as the studies are often highly specific to the amount of PV generation capacity that varies greatly from feeder to feeder and is often unevenly distributed along the same feeder. This can cause location-specific impacts and mitigations. The second challenge is the inherent variability in PV power output which can interact with feeder operation in complex ways, by affecting the operation of voltage regulation and protection devices. The typical simulation tools and methods in use today for distribution system planning are often not adequate to accurately assess these potential impacts. This report demonstrates how quasi-static time series (QSTS) simulation and high time-resolution data can be used to assess the potential impacts in a more comprehensive manner. The QSTS simulations are applied to a set of sample feeders with high PV deployment to illustrate the usefulness of the approach. The report describes methods that can help determine how PV affects distribution system operations. The simulation results are focused on enhancing the understanding of the underlying technical issues. The examples also highlight the steps needed to perform QSTS simulation and describe the data needed to drive the simulations. The goal of this report is to make the methodology of time series power flow analysis readily accessible to utilities and others responsible for evaluating potential PV impacts.
TQuEST: Threshold Query Execution for Large Sets of Time Series
Kriegel, Hans-Peter
TQuEST: Threshold Query Execution for Large Sets of Time Series Johannes AÃ?falg, Hans-Peter Kriegel TQuEST, a powerful query processor for time series databases. TQuEST supports a novel but very useful times. 1 Introduction In this paper, we present TQuEST, a powerful analysis tool for time series
Some methods and models for analyzing time-series gene expression data
Jammalamadaka, Arvind K. (Arvind Kumar), 1981-
2009-01-01T23:59:59.000Z
Experiments in a variety of fields generate data in the form of a time-series. Such time-series profiles, collected sometimes for tens of thousands of experiments, are a challenge to analyze and explore. In this work, ...
Lin, Ying-Tsong
In this paper, a method for merging partial overlapping time series of ocean profiles into a single time series of profiles using empirical orthogonal function (EOF) decomposition with the objective analysis is presented. ...
A Multivariate Time Series Method for Monte Carlo Reactor Analysis
Taro Ueki
2008-08-14T23:59:59.000Z
A robust multivariate time series method has been established for the Monte Carlo calculation of neutron multiplication problems. The method is termed Coarse Mesh Projection Method (CMPM) and can be implemented using the coarse statistical bins for acquisition of nuclear fission source data. A novel aspect of CMPM is the combination of the general technical principle of projection pursuit in the signal processing discipline and the neutron multiplication eigenvalue problem in the nuclear engineering discipline. CMPM enables reactor physicists to accurately evaluate major eigenvalue separations of nuclear reactors with continuous energy Monte Carlo calculation. CMPM was incorporated in the MCNP Monte Carlo particle transport code of Los Alamos National Laboratory. The great advantage of CMPM over the traditional Fission Matrix method is demonstrated for the three space-dimensional modeling of the initial core of a pressurized water reactor.
Predictive Mining of Time Series Data in Astronomy
E. Perlman; A. Java
2002-12-18T23:59:59.000Z
We discuss the development of a Java toolbox for astronomical time series data. Rather than using methods conventional in astronomy (e.g., power spectrum and cross-correlation analysis) we employ rule discovery techniques commonly used in analyzing stock-market data. By clustering patterns found within the data, rule discovery allows one to build predictive models, allowing one to forecast when a given event might occur or whether the occurrence of one event will trigger a second. We have tested the toolbox and accompanying display tool on datasets (representing several classes of objects) from the RXTE All Sky Monitor. We use these datasets to illustrate the methods and functionality of the toolbox. We also discuss issues that can come up in data analysis as well as the possible future development of the package.
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 regression model extends several familiar non-linear time series models such as the exponential
Analysis of Geophysical Time Series Using Discrete Wavelet Transforms: An Overview
Percival, Don
Analysis of Geophysical Time Series Using Discrete Wavelet Transforms: An Overview Donald B geophysical time series. The basic idea is to transform a time series into coefficients describing how in geophysical data analysis. The intent of this article is to give an overview of how DWTs can be used
Geospatial analysis of vulnerable beach-foredune systems from decadal time series of lidar data
Mitasova, Helena
Geospatial analysis of vulnerable beach-foredune systems from decadal time series of lidar data, Geospatial analysis of vulnerable beach- foredune systems from decadal time series of lidar data, Journal densities; therefore, geospatial analysis, when applied to decadal lidar time series, needs to address
Mikosch, Thomas
. The resulting theory is applied to popular financial time series models: GARCH(1, 1), asymmetric GARCH(1, 1 for a general class of heteroscedastic time series models, which includes GARCH(1, 1). Recall that the time series (X t ) is called a GARCH(p, q) (generalized autoregressive conditionally heteroscedastic) process
Filtering out high frequencies in time series using F-transform$
Kreinovich, Vladik
Filtering out high frequencies in time series using F-transform$ VilÂ´em NovÂ´akc , Irina Perfilievac) Preprint submitted to Elsevier February 10, 2013 #12;Filtering out high frequencies in time series using F at El Paso 500 W. University, El Paso, TX 79968, USA This paper is devoted to analysis of time series
Filtering out high frequencies in time series using F-transform$
Kreinovich, Vladik
Filtering out high frequencies in time series using F-transform$ VilÂ´em NovÂ´akc , Irina Perfilievac) Preprint submitted to Elsevier February 3, 2014 #12;Filtering out high frequencies in time series using F, El Paso, TX 79968, USA 1. Introduction This paper is devoted to analysis of time series using fuzzy
Fernandez, Thomas
of the meteorological time series used, which includes the use of statistical techniques to detect whether there exist for the time series using an evolutionary algorithm that adaptively adjusts some of its parameters during its and temperatures collected in a region of Romania. The results are promising for the analysis of such time series
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
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
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
Estimating the predictability of economic and financial time series
Quentin Giai Gianetto; Jean-Marc Le Caillec; Erwan Marrec
2012-12-12T23:59:59.000Z
The predictability of a time series is determined by the sensitivity to initial conditions of its data generating process. In this paper our goal is to characterize this sensitivity from a finite sample by assuming few hypotheses on the data generating model structure. In order to measure the distance between two trajectories induced by a same noisy chaotic dynamic from two close initial conditions, a symmetric Kullback-Leiber divergence measure is used. Our approach allows to take into account the dependence of the residual variance on initial conditions. We show it is linked to a Fisher information matrix and we investigated its expressions in the cases of covariance-stationary processes and ARCH($\\infty$) processes. Moreover, we propose a consistent non-parametric estimator of this sensitivity matrix in the case of conditionally heteroscedastic autoregressive nonlinear processes. Various statistical hypotheses can so be tested as for instance the hypothesis that the data generating process is "almost" independently distributed at a given moment. Applications to simulated data and to the stock market index S&P500 illustrate our findings. More particularly, we highlight a significant relationship between the sensitivity to initial conditions of the daily returns of the S&P 500 and their volatility.
Early Classification of Multivariate Time Series Using a Hybrid HMM/SVM model
Obradovic, Zoran
Early Classification of Multivariate Time Series Using a Hybrid HMM/SVM model Mohamed F. Ghalwash to use a shorter time interval for classification is often more favorable than having a slightly more with other models that use full time series both in training and testing. Analysis of biomedical data has
The level crossing analysis of German stock market index (DAX) and daily oil price time series
Shayeganfar, F; Peinke, J; Tabar, M Reza Rahimi
2010-01-01T23:59:59.000Z
The level crossing analysis of DAX and oil price time series are given. We determine the average frequency of positive-slope crossings, $\
Tataw, Oben Moses
2013-01-01T23:59:59.000Z
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.
breaks in this series? #12;5Banff 6/06 Introduction Examples AR GARCH Stochastic volatility State space Simulation results Applications Simulation results for GARCH and SV models #12;6Banff 6/06 Examples 1 ),,( 1 jjpj K #12;7Banff 6/06 Examples (cont) 2. Segmented GARCH model: where 0 = 1
-202 Any breaks in this series? #12;5NCAR-IMAGe 2006 Introduction Examples AR GARCH Stochastic volatility break estimation Simulation results Applications Simulation results for GARCH and SV models #12;6NCAR-tjptjptjjt tYYY jj GARCH model
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
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
Two problems with variational expectation maximisation for time-series models
Ghahramani, Zoubin
optimisation of a free-energy, are widely used in time-series modelling. Here, we investigate the success of v as a variational optimisation of a free-energy (Hathaway, 1986; Neal and Hinton, 1998). Consider observationsChapter 1 Two problems with variational expectation maximisation for time-series models Richard
Fast Bootstrap applied to LS-SVM for Long Term Prediction of Time Series
Verleysen, Michel
Fast Bootstrap applied to LS-SVM for Long Term Prediction of Time Series Amaury Lendasse HUT, CIS the Fast Bootstrap methodology introduced in previous works. I. INTRODUCTION Time series forecasting are based on resampling, as k-fold cross-validation, leave-one-out, and bootstrap [4]. Although they differ
The moving blocks bootstrap versus parametric time series Richard M. Vogel
Vogel, Richard M.
The moving blocks bootstrap versus parametric time series models Richard M. Vogel Department adding uncertainty to the analysis. The moving blocks bootstrap is a simple resampling algorithm which of the moving block length. The moving blocks bootstrap resamples the observed time series using approximately
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
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
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
DETERMINING THE FRACTAL DIMENSION OF A TIME SERIES WITH A NEURAL NET
Danon, Yaron
DETERMINING THE FRACTAL DIMENSION OF A TIME SERIES WITH A NEURAL NET MARK J. EMBRECHTS AND YARON and require expert interaction for interpreting the calculated fractal dimension. Artificial neural nets (ANN) offer a fast and elegant way to estimate the fractal dimension of a time series. A backpropagation net
PRECISE HIGH-CADENCE TIME SERIES OBSERVATIONS OF FIVE VARIABLE YOUNG STARS IN AURIGA WITH MOST
Cody, Ann Marie; Tayar, Jamie; Hillenbrand, Lynne A. [Department of Astrophysics, California Institute of Technology, MC 249-17, Pasadena, CA 91125 (United States); Matthews, Jaymie M. [Department of Physics and Astronomy, University of British Columbia, 6224 Agricultural Road, Vancouver, British Columbia V6T 1Z1 (Canada); Kallinger, Thomas, E-mail: amc@ipac.caltech.edu [Institut fuer Astronomie, Universitaet Wien, Tuerkenschanzstrasse 17, A-1180 Vienna (Austria)
2013-03-15T23:59:59.000Z
To explore young star variability on a large range of timescales, we have used the MOST satellite to obtain 24 days of continuous, sub-minute cadence, high-precision optical photometry on a field of classical and weak-lined T Tauri stars (TTSs) in the Taurus-Auriga star formation complex. Observations of AB Aurigae, SU Aurigae, V396 Aurigae, V397 Aurigae, and HD 31305 reveal brightness fluctuations at the 1%-10% level on timescales of hours to weeks. We have further assessed the variability properties with Fourier, wavelet, and autocorrelation techniques, identifying one significant period per star. We present spot models in an attempt to fit the periodicities, but find that we cannot fully account for the observed variability. Rather, all stars exhibit a mixture of periodic and aperiodic behavior, with the latter dominating stochastically on timescales less than several days. After removal of the main periodicity, periodograms for each light curve display power-law trends consistent with those seen for other young accreting stars. Several of our targets exhibited unusual variability patterns not anticipated by prior studies, and we propose that this behavior originates with the circumstellar disks. The MOST observations underscore the need for investigation of TTS light variations on a wide range of timescales in order to elucidate the physical processes responsible; we provide guidelines for future time series observations.
iSAX: disk-aware mining and indexing of massive time series datasets
Shieh, Jin; Keogh, Eamonn
2009-01-01T23:59:59.000Z
on both indexing and data mining problems. Finally, in Sect.0125-6 iSAX: disk-aware mining and indexing of massive timeCurrent research in indexing and mining time series data has
Modelling signal interactions with application to financial time series
Jain, Bonny
2014-01-01T23:59:59.000Z
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 ...
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
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
Introduction to (Generalized) Autoregressive Conditional Heteroskedasticity Models in Time Series
Morrow, James A.
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 4 ARCH/GARCH models 8 4.1 Sample Application and application of the ARCH/GARCH models proposed in the 1980's by econometricians such as Robert Engle (who won at the time). In particular, we focus on the paper, "GARCH 101: The Use of ARCH/GARCH Models in Applied Econo
Wu, Guo-Qiang
A wide variety of methods based on fractal, entropic or chaotic approaches have been applied to the analysis of complex physiological time series. In this paper, we show that fractal and entropy measures are poor indicators ...
Essays on empirical time series modeling with causality and structural change
Kim, Jin Woong
2006-10-30T23:59:59.000Z
In this dissertation, three related issues of building empirical time series models for financial markets are investigated with respect to contemporaneous causality, dynamics, and structural change. In the first essay, nation-wide industry...
Mining Time Series Data: Moving from Toy Problems to Realistic Deployments
Hu, Bing
2013-01-01T23:59:59.000Z
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.
Analysis of MODIS 250 m NDVI Using Different Time-Series Data for Crop Type Separability
Lee, Eunmok
2014-08-31T23:59:59.000Z
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 ...
Using temporal averaging to decouple annual and nonannual information in AVHRR NDVI time series
Kastens, Jude Heathcliff; Lerner, David E.; Jakubauskas, Mark E.
2003-11-01T23:59:59.000Z
As regularly spaced time series imagery becomes more prevalent in the remote sensing community, monitoring these data for temporal consistency will become an increasingly important problem. Long-term trends must be identified, and it must...
Chandra, Kavitha
THOMPSON Center for Advanced Computation and Telecommunications University of Massachusetts Lowell One, nonlinear time-series Corresponding author: Charles Thompson; charles_thompson2@uml.edu 1 INTRODUCTION
The Spectral Density Estimation of Stationary Time Series with Missing Data
Schellekens, Michel P.
reported in literature (see, e.g. Green et al., 2002, Kaneoke and Vitek, 1996, Fortin and Mackey, 1999, and Laguna et al., 1998). Here we consider estimating the spectral density of stationary time series
A FAST MODEL-BUILDING METHOD FOR TIME SERIES USING GENETIC PROGRAMMING
Fernandez, Thomas
A FAST MODEL-BUILDING METHOD FOR TIME SERIES USING GENETIC PROGRAMMING I. Yoshihara Faculty) financial problems e.g. stock price indices and gold prices. The experiments lead us to the conclusion
Siracusa, Michael Richard, 1980-
2009-01-01T23:59:59.000Z
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. ...
EXPERIMENTAL VALIDATION OF THE RADIANT TIME SERIES METHOD FOR COOLING LOAD
EXPERIMENTAL VALIDATION OF THE RADIANT TIME SERIES METHOD FOR COOLING LOAD CALCULATIONS By IP SENG College of the Oklahoma State University in partial fulfillment of the requirements for the Degree LOAD CALCULATIONS Thesis Approved: _______________________________________ Thesis Advisor
The relation between Brazilian and Chicago Board of Trade soybean prices: a time series test
Melcher, Bruno
1991-01-01T23:59:59.000Z
THE RELATION BETWEEN BRAZILIAN AND CHICAGO BOARD OF TRADE SOYBEAN PRICES ? A TIME SERIES TEST A Thesis BRUNO MELCHER Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements... for the degree of MASTER OF SCIENCE May 1991 Major Subject: Agricultural Economics THE RELATION BETWEEN BRAZILIAN AND CHICAGO BOARD OF TRADE SOYBEAN PRICES ? A TIME SERIES TEST A Thesis by BRUNO MELCHER Approved as to style and content by: ' f J David...
The application of complex network time series analysis in turbulent heated jets
Charakopoulos, A. K.; Karakasidis, T. E., E-mail: thkarak@uth.gr; Liakopoulos, A. [Laboratory of Hydromechanics and Environmental Engineering, Department of Civil Engineering, University of Thessaly, 38334 Volos (Greece)] [Laboratory of Hydromechanics and Environmental Engineering, Department of Civil Engineering, University of Thessaly, 38334 Volos (Greece); Papanicolaou, P. N. [School of Civil Engineering, Department of Water Resources and Environmental Engineering, National Technical University of Athens, 5 Heroon Polytechniou St., 15780 Zografos (Greece)] [School of Civil Engineering, Department of Water Resources and Environmental Engineering, National Technical University of Athens, 5 Heroon Polytechniou St., 15780 Zografos (Greece)
2014-06-15T23:59:59.000Z
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.
Roweis, Sam
Multiple Alignment of Continuous Time Series Jennifer Listgarten + , Radford M. Neal + , Sam T of continuousvalued time series from a stochastic process often contain systematic variations in rate time series generated by a noisy, stochastic process, large sys tematic sources of variability
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)
1996-12-31T23:59:59.000Z
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.
Tappert, Charles
Series Using a Focused Time Lagged FeedForward Neural Network N. Moseley ABSTRACT, - Artificial neural other series expansion.[2]. The motivation for analysis of time series using neural netwoProceedings of Student Research Day, CSIS, Pace University, May 9th, 2003 Modeling Economic Time
Bayesian classification of partially observed outbreaks using time-series data.
Safta, Cosmin; Ray, Jaideep; Crary, David (Applied Research Associates, Inc, Arlington, VA); Cheng, Karen (Applied Research Associates, Inc, Arlington, VA)
2010-05-01T23:59:59.000Z
Results show that a time-series based classification may be possible. For the test cases considered, the correct model can be selected and the number of index case can be captured within {+-} {sigma} with 5-10 days of data. The low signal-to-noise ratio makes the classification difficult for small epidemics. The problem statement is: (1) Create Bayesian techniques to classify and characterize epidemics from a time-series of ICD-9 codes (will call this time-series a 'morbidity stream'); and (2) It is assumed the morbidity stream has already set off an alarm (through a Kalman filter anomaly detector) Starting with a set of putative diseases: Identify which disease or set of diseases 'fit the data best' and, Infer associated information about it, i.e. number of index cases, start time of the epidemic, spread rate, etc.
Anomaly detection in thermal pulse combustors using symbolic time series analysis
Ray, Asok
339 Anomaly detection in thermal pulse combustors using symbolic time series analysis S Gupta1 for anomaly detection in thermal pulse combustors. The anomaly detection method has been tested on the time pulse combustor. Results are presented to exemplify early detection of combustion instability due
Visualizing Frequent Patterns in Large Multivariate Time Series , M. Marwah1
Ramakrishnan, Naren
languages, detecting anomalies in patients' medical records over time [5], and chiller efficiency in data centers [14]. Figure 1 shows an example of the visual analysis of a pair of data center chiller time series in which different motifs were discovered. A chiller is a key component of the cooling
Forecasting of preprocessed daily solar radiation time series using neural networks
Boyer, Edmond
Forecasting of preprocessed daily solar radiation time series using neural networks Christophe prediction of global solar radiation on a horizontal surface. First results are promising with nRMSE ~ 21 t or at day d and year y d H0 Extraterrestrial solar radiation coefficient for day d [MJ/mÂ²] xt, xd,y Time
Representing and Utilizing Changing Historical Places as an Ontology Time Series
Hyvönen, Eero
Chapter 1 Representing and Utilizing Changing Historical Places as an Ontology Time Series Eero Hyv.g. Check Republic or Slo- vakia) or overlapping historic names of different times (e.g. Roman Empire interfaces. The system has been applied in the semantic cultural heritage portal CULTURESAMPO for semantic
Melting of small Arctic ice caps observed from ERS scatterometer time series
Smith, Laurence C.
Melting of small Arctic ice caps observed from ERS scatterometer time series Laurence C. Smith,1 of melt onset can be observed over small ice caps, as well as the major ice sheets and multi-year sea ice for 14 small Arctic ice caps from 19922000. Interannual and regional variability in the timing of melt
Applications of Universal Source Coding to Statistical Analysis of Time Series
Ryabko, Boris
2008-01-01T23:59:59.000Z
We show how universal codes can be used for solving some of the most important statistical problems for time series. By definition, a universal code (or a universal lossless data compressor) can compress any sequence generated by a stationary and ergodic source asymptotically to the Shannon entropy, which, in turn, is the best achievable ratio for lossless data compressors. We consider finite-alphabet and real-valued time series and the following problems: estimation of the limiting probabilities for finite-alphabet time series and estimation of the density for real-valued time series, the on-line prediction, regression, classification (or problems with side information) for both types of the time series and the following problems of hypothesis testing: goodness-of-fit testing, or identity testing, and testing of serial independence. It is important to note that all problems are considered in the framework of classical mathematical statistics and, on the other hand, everyday methods of data compression (or ar...
TIME SERIES MODELS OF THREE SETS OF RXTE OBSERVATIONS OF 4U 1543-47
Koen, C. [Department of Statistics, University of the Western Cape, Private Bag X17, Bellville, 7535 Cape (South Africa)] [Department of Statistics, University of the Western Cape, Private Bag X17, Bellville, 7535 Cape (South Africa)
2013-03-01T23:59:59.000Z
The X-ray nova 4U 1543-47 was in a different physical state (low/hard, high/soft, and very high) during the acquisition of each of the three time series analyzed in this paper. Standard time series models of the autoregressive moving average (ARMA) family are fitted to these series. The low/hard data can be adequately modeled by a simple low-order model with fixed coefficients, once the slowly varying mean count rate has been accounted for. The high/soft series requires a higher order model, or an ARMA model with variable coefficients. The very high state is characterized by a succession of 'dips', with roughly equal depths. These seem to appear independently of one another. The underlying stochastic series can again be modeled by an ARMA form, or roughly as the sum of an ARMA series and white noise. The structuring of each model in terms of short-lived aperiodic and 'quasi-periodic' components is discussed.
Nonlinear analysis of time series of vibration data from a friction brake: SSA, PCA, and MFDFA
Nikolay K. Vitanov; Norbert P. Hoffmann; Boris Wernitz
2014-10-23T23:59:59.000Z
We use the methodology of singular spectrum analysis (SSA), principal component analysis (PCA), and multi-fractal detrended fluctuation analysis (MFDFA), for investigating characteristics of vibration time series data from a friction brake. SSA and PCA are used to study the long time-scale characteristics of the time series. MFDFA is applied for investigating all time scales up to the smallest recorded one. It turns out that the majority of the long time-scale dynamics, that is presumably dominated by the structural dynamics of the brake system, is dominated by very few active dimensions only and can well be understood in terms of low dimensional chaotic attractors. The multi-fractal analysis shows that the fast dynamical processes originating in the friction interface are in turn truly multi-scale in nature.
Gordon, Geoffrey J.
are in constant movement within the cell, we extended our studies to time series images, which contain both to identify a protein's subcellular location is to label it with fluorescent dye, take microscope images this last step. The automated approach is more objective and sensitive than visual examination, and single
OUTPUT-ONLY STATISTICAL TIME SERIES METHODS FOR STRUCTURAL HEALTH MONITORING: A COMPARATIVE STUDY
Paris-Sud XI, Université 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
A regression model with a hidden logistic process for feature extraction from time series
Chamroukhi, Faicel
operation. The switch operations signals can be seen as time series presenting non-linearities and various changes in regime. Basic linear regression can not be adopted for this type of sig- nals because a constant linear relationship is not adapted. As alternative to linear regression, some authors use
Efficient Time Series Matching by Wavelets Kinpong Chan and Ada Waichee Fu
Fu, Ada Waichee
since the effectiveness of power concentration of a particÂ ular transformation depends on the nature to other problems. While large pieces reduce the power of multiÂresolution, small pieces has weaknessÂTrees for fast retrieval. Due to the dimensionality curse problem, transformations are applied to time series
DAMAGE DETECTION IN A WIND TURBINE BLADE BASED ON TIME SERIES Simon Hoell, Piotr Omenzetter
Boyer, Edmond
DAMAGE DETECTION IN A WIND TURBINE BLADE BASED ON TIME SERIES METHODS Simon Hoell, Piotr Omenzetter, the consequences are growing sizes of wind turbines (WTs) and erections in remote places, such as off in the past years, thus efficient energy harvesting becomes more important. For the sector of wind energy
Time Series Methods for ForecastingElectricityMarket Pricing Zoran Obradovic Kevin Tomsovic
Obradovic, Zoran
tested by attempting to capture relationships between present and past share prices using simpleTime Series Methods for ForecastingElectricityMarket Pricing Zoran Obradovic Kevin Tomsovic PO Box the predictability of electricity price under new market regulations and the engineering aspects of large scale
Closing the carbon budget of estuarine wetlands with tower-based measurements and MODIS time series
Chen, Jiquan
Closing the carbon budget of estuarine wetlands with tower-based measurements and MODIS time series, Institute of Biodiversity Science, Fudan University, Shanghai 200433, China, wDepartment of Environmental have distinct carbon flux dynamics the lateral carbon flux incurred by tidal activities, and methane
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 is the generation of textual summaries. We are developing a knowledge-based system to summarise such data in the gas
RESEARCH ARTICLE Time series analysis of infrared satellite data for detecting
Wright, Robert
successfully detected ther- mal anomalies in TIR data from the Advanced Very High Resolution Radiometer (AVHRR algorithm that analyzes thermal infrared satellite time series data to detect and quantify the excess energy. These instruments provide data over potentially dangerous, high-temperature phenomena, such as volcanic eruptions
Indexing of Time Series by Major Minima and Maxima Eugene Fink
Fink, Eugene
sets: stock prices, air and sea temperatures, and wind speeds. Keywords: Compression, indexing.ics.uci.edu). Wind speeds: We have used daily wind speeds at twelve sites in Ireland, from 1961 to 1978, ob tained. Indexing: The indexing of a timeseries database is based on the notion of major inclines, illustrated
Indexing of Time Series by Major Minima and Maxima Eugene Fink
Fink, Eugene
sets: stock prices, air and sea temperatures, and wind speeds. Keywords: Compression, indexing.ics.uci.edu). Wind speeds: We have used daily wind speeds at twelve sites in Ireland, from 1961 to 1978, ob- tained. Indexing: The indexing of a time-series database is based on the notion of major inclines, illustrated
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
EOF analysis of a time series with application to tsunami detection
Tolkova, Elena
determines the accuracy of any forecast of the future tsunami evolution. A tsunami wave in the open ocean isEOF analysis of a time series with application to tsunami detection Elena Tolkova a, a. Decomposition of a tsunami buoy record in a functional space of tidal EOFs presents an efficient tool
Multi-Resolution K-Means Clustering of Time Series and Application to Images
Lin, Jessica
Multi-Resolution K-Means Clustering of Time Series and Application to Images Michail Vlachos using orthonormal decompositions, we present an anytime version of the k-Means algorithm. The algorithm centers for k-Means is mitigated by assigning the final centers at each approximation level as the initial
Global SunFarm Data Acquisition Network, Energy CRADLE, and Time Series Analysis
Rollins, Andrew M.
outdoor test beds across the world. Energy CRADLE is an ontology driven database acquisition tool which for Energy Technology workshop[1], the topic of photovoltaics(PV) lifetime and degradation science (LGlobal SunFarm Data Acquisition Network, Energy CRADLE, and Time Series Analysis Yang Hu, Mohammad
CHANGE OF STRUCTURE IN FINANCIAL TIME SERIES, LONG RANGE DEPENDENCE AND THE GARCH MODEL
Mikosch, Thomas
CHANGE OF STRUCTURE IN FINANCIAL TIME SERIES, LONG RANGE DEPENDENCE AND THE GARCH MODEL THOMAS having as limit a Gaussian #12;eld. In the case of GARCH(p; q) processes a statistic closely related limit theorem for this statistic under the hypothesis of a GARCH(p; q) sequence with a #12;nite 4th
Volatility Forecasts in Financial Time Series with HMM-GARCH Models
Chen, Yiling
Volatility Forecasts in Financial Time Series with HMM-GARCH Models Xiong-Fei Zhuang and Lai {xfzhuang,lwchan}@cse.cuhk.edu.hk Abstract. Nowadays many researchers use GARCH models to generate of the two parameters G1 and A1[1], in GARCH models is usually too high. Since volatility forecasts in GARCH
SEAWIFS VALIDATION AT THE CARIBBEAN TIME SERIES STATION (CATS) Jess Lee-Borges* and Roy Armstrong
Gilbes, Fernando
SEAWIFS VALIDATION AT THE CARIBBEAN TIME SERIES STATION (CATS) JesÃºs Lee-Borges* and Roy Armstrong. This is of particular importance to areas such as the Eastern Caribbean which has traditionally been viewed the dynamic nature of the northeastern Caribbean, underscoring the significant effect of periodic intrusions
Two-Sample Testing in High Dimension and a Smooth Block Bootstrap for Time Series
Gregory, Karl Bruce
2014-06-12T23:59:59.000Z
This document contains three sections. The first two present new methods for two-sample testing where there are many variables of interest and the third presents a new methodology for time series bootstrapping. In the first section we develop a...
Directed Monitoring Using Cuscore Charts for Seasonal Time Series Harriet Black Nembhard*
Nembhard, Harriet Black
a special cause in a process, statistical process control (SPC) charts are traditionally used. If the data1 Directed Monitoring Using Cuscore Charts for Seasonal Time Series Harriet Black Nembhard used statistical process control charts to detect special causes are Shewhart and Cusum charts. However
A new measure of phase synchronization for a pair of time series and seizure focus localization
Kaushik Majumdar
2006-12-22T23:59:59.000Z
Defining and measuring phase synchronization in a pair of nonlinear time series are highly nontrivial. This can be done with the help of Fourier transform, when it exists, for a pair of stored (hence stationary) signals. In a time series instantaneous phase is often defined with the help of Hilbert transform. In this paper phase of a time series has been defined with the help of Fourier transform. This gives rise to a deterministic method to detect phase synchronization in its most general form between a pair of time series. Since this is a stricter method than the statistical methods based on instantaneous phase, this can be used for lateralization and source localization of epileptic seizures with greater accuracy. Based on this method a novel measure of phase synchronization, called syn function, has been defined, which is capable of quantifying neural phase synchronization and asynchronization as important parameters of epileptic seizure dynamics. It has been shown that such a strict measure of phase synchronization has potential application in seizure focus localization from scalp electroencephalogram (EEG) data, without any knowledge of electrical conductivity of the head.
Weiss, Gary
Utility based Data Mining for Time Series Analysis - Cost-sensitive Learning for Neural Network@bis-lab.com ABSTRACT In corporate data mining applications, cost-sensitive learning is firmly established Mining General Terms Algorithms, Management, Economics Keywords Data Mining, cost-sensitive learning
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
Bispectral-Based Methods for Clustering Time Series Jane L. Harvill
Ravishanker, Nalini
the ratios. As an example, we apply the method to a set of time series of intensities of gamma-ray bursts, some of which exhibit nonlinear behavior; this enables us to identify gamma-ray bursts that may. As an example, we apply the bispectral-based clustering technique to a set of gamma-ray burst (GRB) intensity
Time Series 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
BN-97-4-4 (RP-875) The Radiant Time Series Cooling
of the proceduresare described in chapters 2 and 10 of the current ASHRAECool#zg and Heating LoadCalculation ManualBN-97-4-4 (RP-875) The Radiant Time Series Cooling Load Calculation Procedure Jeffrey D. Spitler calculations, derived from the heat balancemethod.It effectively replacesall other simpli- fied (non-heat
A Novel Approach to the Analysis of Nonlinear Time Series with Applications to Financial Data
Lee, Jun Bum
2012-07-16T23:59:59.000Z
LIST OF FIGURES : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : ix CHAPTER I INTRODUCTION : : : : : : : : : : : : : : : : : : : : : : : : : : 1 II THE QUANTILE SPECTRAL DENSITY AND COMPAR- ISON BASED TESTS FOR NONLINEAR TIME SERIES... : : : 5 1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2. The quantile spectral density and the test statistic . . . . . 7 3. Sampling properties . . . . . . . . . . . . . . . . . . . . . . 18 4. Testing for equality of serial...
Ultrasound radio-frequency time series for finding malignant breast lesions
de Freitas, Nando
-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
Detecting and interpreting distortions in hierarchical organization of complex time series
Dro?d?, Stanis?aw
2015-01-01T23:59:59.000Z
Hierarchical organization is a cornerstone of complexity and multifractality constitutes its central quantifying concept. For model uniform cascades the corresponding singularity spectra are symmetric while those extracted from empirical data are often asymmetric. Using the selected time series representing such diverse phenomena like price changes and inter-transaction times in the financial markets, sentence length variability in the narrative texts, Missouri River discharge and Sunspot Number variability as examples, we show that the resulting singularity spectra appear strongly asymmetric, more often left-sided but in some cases also right-sided. We present a unified view on the origin of such effects and indicate that they may be crucially informative for identifying composition of the time series. One particularly intriguing case of this later kind of asymmetry is detected in the daily reported Sunspot Number variability. This signals that either the commonly used famous Wolf formula distorts the real d...
Ruoxi Xiang; Michael Small
2014-06-18T23:59:59.000Z
In this work, the topologies of networks constructed from time series from an underlying system undergo a period doubling cascade have been explored by means of the prevalence of different motifs using an efficient computational motif detection algorithm. By doing this we adopt a refinement based on the $k$ nearest neighbor recurrence-based network has been proposed. We demonstrate that the refinement of network construction together with the study of prevalence of different motifs allows a full explosion of the evolving period doubling cascade route to chaos in both discrete and continuous dynamical systems. Further, this links the phase space time series topologies to the corresponding network topologies, and thus helps to understand the empirical "superfamily" phenomenon, as shown by Xu.
Chattopadhyay, Goutami; 10.1140/epjp/i2012-12043-9
2012-01-01T23:59:59.000Z
This study reports a statistical analysis of monthly sunspot number time series and observes non homogeneity and asymmetry within it. Using Mann-Kendall test a linear trend is revealed. After identifying stationarity within the time series we generate autoregressive AR(p) and autoregressive moving average (ARMA(p,q)). Based on minimization of AIC we find 3 and 1 as the best values of p and q respectively. In the next phase, autoregressive neural network (AR-NN(3)) is generated by training a generalized feedforward neural network (GFNN). Assessing the model performances by means of Willmott's index of second order and coefficient of determination, the performance of AR-NN(3) is identified to be better than AR(3) and ARMA(3,1).
Goutami Chattopadhyay; Surajit Chattopadhyay
2012-04-18T23:59:59.000Z
This study reports a statistical analysis of monthly sunspot number time series and observes non homogeneity and asymmetry within it. Using Mann-Kendall test a linear trend is revealed. After identifying stationarity within the time series we generate autoregressive AR(p) and autoregressive moving average (ARMA(p,q)). Based on minimization of AIC we find 3 and 1 as the best values of p and q respectively. In the next phase, autoregressive neural network (AR-NN(3)) is generated by training a generalized feedforward neural network (GFNN). Assessing the model performances by means of Willmott's index of second order and coefficient of determination, the performance of AR-NN(3) is identified to be better than AR(3) and ARMA(3,1).
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)
2006-07-15T23:59:59.000Z
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.
Time series analysis, 2013, PC 8 | ARCH and GARCH processes 9 8 ARCH and GARCH processes
GaÃ¯ffas, StÃ©phane
Time series analysis, 2013, PC 8 | ARCH and GARCH processes 9 8 ARCH and GARCH processes A GARCH(q) process. Exercise 8.2 (Computation of the kurtosis of a conditionally Gaussian GARCH(1, 1) pro- cess that = 3 + 3 Var(E[X2 t | Gt 1]) (E[X2 t ])2 . 3. For a GARCH(1,1) process, with p = q = 1 and a, b = b1, c
Tominski, Christian
that can be used to explore and analyze multivariate time series data. We propose different types of drawings. 1 INTRODUCTION The analysis of time series data is a fundamental task addressed by information of multivariate data is not a new topic to information visualization researchers. A variety of approaches have
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
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
Fliess, Michel
2008-01-01T23:59:59.000Z
New fast estimation methods stemming from control theory lead to a fresh look at time series, which bears some resemblance to "technical analysis". The results are applied to a typical object of financial engineering, namely the forecast of foreign exchange rates, via a "model-free" setting, i.e., via repeated identifications of low order linear difference equations on sliding short time windows. Several convincing computer simulations, including the prediction of the position and of the volatility with respect to the forecasted trendline, are provided. $\\mathcal{Z}$-transform and differential algebra are the main mathematical tools.
Hurst exponent of very long birth time series in XX century Romania. Social and religious aspects
Rotundo, G; Herteliu, C; Ileanu, B
2015-01-01T23:59:59.000Z
The Hurst exponent of very long birth time series in Romania has been extracted from official daily records, i.e. over 97 years between 1905 and 2001 included. The series result from distinguishing between families located in urban (U) or rural (R) areas, and belonging (Ox) or not (NOx) to the orthodox religion. Four time series combining both criteria, (U,R) and (Ox, NOx), are also examined. A statistical information is given on these sub-populations measuring their XX-th century state as a snapshot. However, the main goal is to investigate whether the "daily" production of babies is purely noisy or is fluctuating according to some non trivial fractional Brownian motion, - in the four types of populations, characterized by either their habitat or their religious attitude, yet living within the same political regime. One of the goals was also to find whether combined criteria implied a different behavior. Moreover, we wish to observe whether some seasonal periodicity exists. The detrended fluctuation analysis...
Plotkin, S.; Stephens, T.; McManus, W.
2013-03-01T23:59:59.000Z
Scenarios of new vehicle technology deployment serve various purposes; some will seek to establish plausibility. This report proposes two reality checks for scenarios: (1) implications of manufacturing constraints on timing of vehicle deployment and (2) investment decisions required to bring new vehicle technologies to market. An estimated timeline of 12 to more than 22 years from initial market introduction to saturation is supported by historical examples and based on the product development process. Researchers also consider the series of investment decisions to develop and build the vehicles and their associated fueling infrastructure. A proposed decision tree analysis structure could be used to systematically examine investors' decisions and the potential outcomes, including consideration of cash flow and return on investment. This method requires data or assumptions about capital cost, variable cost, revenue, timing, and probability of success/failure, and would result in a detailed consideration of the value proposition of large investments and long lead times. This is one of a series of reports produced as a result of the Transportation Energy Futures (TEF) project, a Department of Energy-sponsored multi-agency effort to pinpoint underexplored strategies for abating GHGs and reducing petroleum dependence related to transportation.
Learning Dynamic Systems From Time-Series Data - An Application to Gene Regulatory Networks
Timoteo, Ivo J. P. M.; Holden, Sean B.
2015-01-01T23:59:59.000Z
the second half of the time-series data provided; that is, from the point when the pertur- bation is lifted, as we do not know the exact nature of the perturbation. The DREAM4 Challenge evaluated performance using the p-values for the area under the ROC curve... ., and Druzdzel, M. (2010). Learn- ing why things change: The difference-based causal- ity learner. In Proceedings of the Twenty-Sixth An- nual Conference on Uncertainty in Artificial Intelli- gence (UAI). Yip, K., Alexander, R., Yan, K., and Gerstein, M. (2010...
Perpinan, O. [Electrical Engineering Department, EUITI-UPM, Ronda de Valencia 3, 28012 Madrid (Spain); Lorenzo, E. [Instituto de Energia Solar, UPM, Ciudad Universitaria s/n, 28040 Madrid (Spain)
2011-01-15T23:59:59.000Z
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)
Time Series Analysis Methods Applied to the Super-Kamiokande I Data
Gioacchino Ranucci
2005-05-25T23:59:59.000Z
The need to unravel modulations hidden in noisy time series of experimental data is a well known problem, traditionally attacked through a variety of methods, among which a popular tool is the so called Lomb-Scargle periodogram. Recently, for a class of problems in the solar neutrino field, it has been proposed an alternative maximum likelihood based approach, intended to overcome some intrinsic limitations affecting the Lomb-Scargle implementation. This work is focused to highlight the features of the likelihood methodology, introducing in particular an analytical approach to assess the quantitative significance of the potential modulation signals. As an example, the proposed method is applied to the time series of the measured values of the 8B neutrino flux released by the Super-Kamiokande collaboration, and the results compared with those of previous analysis performed on the same data sets. It is also examined in detail the comparison between the Lomb-Scargle and the likelihood methods, giving in the appendix the complete demonstration of their close relationship.
Studying accreting black holes and neutron stars with time series: beyond the power spectrum
S. Vaughan; P. Uttley
2008-02-04T23:59:59.000Z
The fluctuating brightness of cosmic X-ray sources, particularly accreting black holes and neutron star systems, has enabled enormous progress in understanding the physics of turbulent accretion flows, the behaviour of matter on the surfaces of neutron stars and improving the evidence for black holes. Most of this progress has been made by analysing and modelling time series data in terms of their power and cross spectra, as will be discussed in other articles in this volume. Recently, attempts have been made to make use of other aspects of the data, by testing for non-linearity, non-Gaussianity, time asymmetry and by examination of higher order Fourier spectra. These projects, which have been made possible by the vast increase in data quality and quantity over the past decade, are the subject of this article.
Gutierrez, Rafael M.; Useche, Gina M.; Buitrago, Elias [Centro de Investigaciones, Universidad Antonio Narino, Carrera 3 Este No. 47A--15 Bogota (Colombia)
2007-11-13T23:59:59.000Z
We present a procedure developed to detect stochastic and deterministic information contained in empirical time series, useful to characterize and make models of different aspects of complex phenomena represented by such data. This procedure is applied to a seismological time series to obtain new information to study and understand geological phenomena. We use concepts and methods from nonlinear dynamics and maximum entropy. The mentioned method allows an optimal analysis of the available information.
Spectral fluctuations of billiards with mixed dynamics: from time series to superstatistics
A. Y. Abul-Magd; B. Dietz; T. Friedrich; A. Richter
2008-03-22T23:59:59.000Z
A statistical analysis of the eigenfrequencies of two sets of superconducting microwave billiards, one with mushroom-like shape and the other from the familiy of the Limacon billiards, is presented. These billiards have mixed regular-chaotic dynamics but different structures in their classical phase spaces. The spectrum of each billiard is represented as a time series where the level order plays the role of time. Two most important findings follow from the time-series analysis. First, the spectra can be characterized by two distinct relaxation lengths. This is a prerequisite for the validity of the superstatistical approach which is based on the folding of two distribution functions. Second, the shape of the resulting probability density function of the so-called superstatistical parameter is reasonably approximated by an inverse chi-square distribution. This distribution is used to compute nearest-neighbor spacing distributions and compare them with those of the resonance frequencies of billiards with mixed dynamics within the framework of superstatistics. The obtained spacing distribution is found to present a good description of the experimental ones and is of the same or even better quality as a number of other spacing distributions, including the one from Berry and Robnik. However, in contrast to other approaches towards a theoretical description of spectral properties of systems with mixed dynamics, superstatistics also provides a description of properties of the eigenfunctions. Indeed, the inverse chi-square parameter distribution is found suitable for the analysis of experimental resonance strengths in the Limacon billiards within the framework of superstatistics.
Hsu, P. J.; Lai, S. K., E-mail: sklai@coll.phy.ncu.edu.tw [Complex Liquids Laboratory, Department of Physics, National Central University, Chungli 320 Taiwan (China); Molecular Science and Technology Program, Taiwan International Graduate Program, Academia Sinica, Taipei 115, Taiwan (China); Cheong, S. A. [Division of Physics and Applied Physics, School of Physical and Mathematical Sciences, Nanyang Technological University, 21 Nanyang Link, Singapore 637371 (Singapore)
2014-05-28T23:59:59.000Z
Folded conformations of proteins in thermodynamically stable states have long lifetimes. Before it folds into a stable conformation, or after unfolding from a stable conformation, the protein will generally stray from one random conformation to another leading thus to rapid fluctuations. Brief structural changes therefore occur before folding and unfolding events. These short-lived movements are easily overlooked in studies of folding/unfolding for they represent momentary excursions of the protein to explore conformations in the neighborhood of the stable conformation. The present study looks for precursory signatures of protein folding/unfolding within these rapid fluctuations through a combination of three techniques: (1) ultrafast shape recognition, (2) time series segmentation, and (3) time series correlation analysis. The first procedure measures the differences between statistical distance distributions of atoms in different conformations by calculating shape similarity indices from molecular dynamics simulation trajectories. The second procedure is used to discover the times at which the protein makes transitions from one conformation to another. Finally, we employ the third technique to exploit spatial fingerprints of the stable conformations; this procedure is to map out the sequences of changes preceding the actual folding and unfolding events, since strongly correlated atoms in different conformations are different due to bond and steric constraints. The aforementioned high-frequency fluctuations are therefore characterized by distinct correlational and structural changes that are associated with rate-limiting precursors that translate into brief segments. Guided by these technical procedures, we choose a model system, a fragment of the protein transthyretin, for identifying in this system not only the precursory signatures of transitions associated with ? helix and ? hairpin, but also the important role played by weaker correlations in such protein folding dynamics.
Time series of high resolution spectra of SN 2014J observed with the TIGRE telescope
Jack, D; Schroder, K -P; Schmitt, J H M M; Hempelmann, A; Gonzalez-Perez, J N; Trinidad, M A; Rauw, G; Sixto, J M Cabrera
2015-01-01T23:59:59.000Z
We present a time series of high resolution spectra of the Type Ia supernova 2014J, which exploded in the nearby galaxy M82. The spectra were obtained with the HEROS echelle spectrograph installed at the 1.2 m TIGRE telescope. We present a series of 33 spectra with a resolution of R = 20, 000, which covers the important bright phases in the evolution of SN 2014J during the period from January 24 to April 1 of 2014. The spectral evolution of SN 2014J is derived empirically. The expansion velocities of the Si II P-Cygni features were measured and show the expected decreasing behaviour, beginning with a high velocity of 14,000 km/s on January 24. The Ca II infrared triplet feature shows a high velocity component with expansion velocities of > 20, 000 km/s during the early evolution apart from the normal component showing similar velocities as Si II. Further broad P-Cygni profiles are exhibited by the principal lines of Ca II, Mg II and Fe II. The TIGRE SN 2014J spectra also resolve several very sharp Na I D doub...
WAVELETS WITH RIDGES: A HIGH-RESOLUTION REPRESENTATION OF CATACLYSMIC VARIABLE TIME SERIES
Blackman, Claire, E-mail: claire.blackman@rhul.ac.u [Department of Economics, Royal Holloway, University of London, Egham, Surrey TW20 0EX (United Kingdom)
2010-11-15T23:59:59.000Z
Quasi-periodic oscillations (QPO) and dwarf nova oscillations (DNOs) occur in dwarf novae and nova-like variables during outburst and occasionally during quiescence, and have analogs in high-mass X-ray binaries and black-hole candidates. The frequent low coherence of quasi-period oscillations and DNOs can make detection with standard time-series tools such as periodograms problematic. This paper develops tools to analyze quasi-periodic brightness oscillations. We review the use of time-frequency representations (TFRs) in the astronomical literature, and show that representations such as the Choi-Williams distribution and Zhao-Atlas-Marks representation, which are best suited to high signal-to-noise data, cannot be assumed a priori to be the best techniques for our data, which have a much higher noise level and lower coherence. This leads us to a detailed analysis of the time-frequency resolution and statistical properties of six TFRs. We conclude that the wavelet scalogram, with the addition of wavelet ridges and maxima points, is the most effective TFR for analyzing quasi-periodicities in low signal-to-noise data, as it has high time-frequency resolution, and is a minimum variance estimator. We use the wavelet ridges method to re-analyze archival data from VW Hyi, and find 62 new QPOs and 7 new long-period DNOs. Relative to previous analyses, our method substantially improves the detection rate for QPOs.
NERSC Franklin Hours Used Report
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Franklin Hours Used Franklin Hours Used 2011 Franklin Usage in Hours 2011 Franklin Usage in Hours 2010 2010 Franklin Usage in Hours 2009 2009 Franklin Usage in Hours 2007-2008 2008...
Roweis, Sam
Multiple Alignment of Continuous Time Series Jennifer Listgarten y , Radford M. Neal y , Sam T of continuousvalued time series from a stochastic process often contain systematic variations in rate time series generated by a noisy, stochastic process, large sys tematic sources of variability
Bodruzzaman, M.; Essawy, M.A.
1996-03-31T23:59:59.000Z
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.
Almog, Assaf
2014-01-01T23:59:59.000Z
The dynamics of complex systems, from financial markets to the brain, can be monitored in terms of time series of activity of their fundamental elements (such as stocks or neurons respectively). While the main focus of time series analysis is on the magnitude of temporal increments, a significant piece of information is encoded into the binary projection (i.e. the sign) of such increments. In this paper we provide further evidence of this by showing strong nonlinear relationships between binary and non-binary properties of financial time series. We then introduce an information-theoretic approach to the analysis of the binary signature of single and multiple time series. Through the definition of maximum-entropy ensembles of binary matrices, we quantify the information encoded into the simplest binary properties of real time series and identify the most informative property given a set of measurements. Our formalism is able to replicate the observed binary/non-binary relations very well, and to mathematically...
Mazzaccaro, Anthony Peter
1974-01-01T23:59:59.000Z
TIME -SERIES ANAI, YSIS OI' PARTICIPATION IN NQiIRESI DEN I. ' HUNTING: Tl-;E EFFECTS OI LICENSE COST ANI3 QUANTITATIVE I LUC fUWTIONS IN SVPPI. Y A lil*sis by ANTHONY PETER MAZZACCARO Subrnittc. d to the Gracluate College of Teresa ARM Unic... AND QUANTITATIVE Fl UCTUATIONS IN SUPPLY A Thesis by ANTHONY PETER IvlAZZACCARO Approved as to style and content: (Chairman of Conrrnittee) ead of Department) ( ivl e rnb e g ~. , 8! (Member) +~eg ~+ ABSTRACT Time-Series Analysis of Participation...
Reverberation mapping of active galactic nuclei : The SOLA method for time-series inversion
Frank P. Pijpers; Ignaz Wanders
1994-06-27T23:59:59.000Z
In this paper a new method is presented to find the transfer function of the broad-line region in active galactic nuclei. The subtractive optimally localized averages (SOLA) method is a modified version of the Backus-Gilbert method and is presented as an alternative to the more often used maximum-entropy method. The SOLA method has been developed for use in helioseismology. It has been applied to the solar oscillation frequency splitting data currently available to deduce the internal rotation rate of the sun. The original SOLA method is reformulated in the present paper to cope with the slightly different problem of inverting time series. We use simulations to test the viability of the method and apply the SOLA method to the real data of the Seyfert-1 galaxy NGC 5548. We investigate the effects of measurement errors and how the resolution of the TF critically depends upon both the sampling rate and the photometric accuracy of the data. A uuencoded compressed postscript file of the paper which includes the figures is available by anonymous ftp at ftp://solaris.astro.uu.se/pub/articles/atmos/frank/PijWan.uue
A Scientific Data Processing Framework for Time Series NetCDF Data
Gaustad, Krista L.; Shippert, Timothy R.; Ermold, Brian D.; Beus, Sherman J.; Daily, Jeffrey A.; Borsholm, Atle; Fox, Kevin M.
2014-10-01T23:59:59.000Z
ARM Data Integrator (ADI) is a framework to streamline the development of scientific algorithms that analyze time-series NetCDF data, and to improve the content and consistency of the output data products produced by these algorithms. ADI achieves these goals by automating the process of retrieving and preparing data for analysis, supporting the definition of output data products through a graphical interface, and providing a modular, flexible software development architecture. The input data, preprocessing, and output data specifications are defined through a graphical interface and stored in a database. ADI also includes a workflow for data integration, a library of software modules to support the workflow, and a source code generator that produces C, IDL and Python templates. Data preparation support includes automated retrieval of data from input files, merging the retrieved data into appropriately sized chunks, and transformation of the data onto a common coordinate system grid. Through the graphical interface, users can view the details of both their data products and those in the ARM catalog. The variable and attribute definitions of the existing data products can be used to build new output data products. In addition, the rules that make up the ARM archive’s data standards are laid on top of the view of the new data product providing the user with a visual cue indicating where their output violates an archive standard. The necessary configurations are stored in a database that is accessed by the ADI libraries. This paper discusses the ADI framework, its supporting components, and how ADI can significantly decrease the time and cost of implementing scientific algorithms while improving the ability of scientists to disseminate their results.
Garfunkel, Eric
Wednesday Thursday Friday Saturday Sunday Storming Robots Technology Learning Institution 3322 Rt. 22 West, Suite 402 Branchburg NJ 08876 Elizabeth Mabrey emabrey@stormingrobots.com 908-595-1010 Robotics Instructor / Assistant $15 to $30 Any Time from 2 to 12 hours per week one 1) Instructor/Assistant
Sera, Dezso
Fig. 1. One hour measured irradiance and wind speed data with 0.2 seconds, 3 seconds and 1 minute to intermittent character of the solar irradiance and wind. The actual power quality standards provide only of the solar irradiance and wind speed in fast changing conditions on the utility grid. This work proposes
LIBRARY SERVICES LIBRARY HOURS
Royer, Dana
LIBRARY SERVICES LIBRARY HOURS Up-to-date library hours are posted at http Wesleyan ID that is linked to the library circulation database is needed to charge out library materials to visit the Circulation Office in Olin Library 115 to set up their borrowing privileges. If you have
Abolmaesumi, Purang
Finding Statistics & Data at Queen's Sept/08 STATISTICS Facts & figures in tables, charts, time series, graphs, etc. 1. Statistics Canada www.statcan.ca English use the search box... REMEMBER: Don't Pay Contact madgic@queensu.ca to get statistics for free if faced with a fee! 2. Social
Pazzani, Michael J.
An Indexing Scheme for Fast Similarity Search in Large Time Series Databases Eamonn J. Keogh, California 92697 USA {eamonn,pazzani}@ics.uci.edu Abstract We address the problem of similarity search similar element of the bin. This bound allows us to search the bins in best first order, and to prune some
Kirchner, James W.
High-frequency precipitation and stream water quality time series from Plynlimon, Wales: an openly Colin Vincent,6 Kathryn Lehto,6 Simon Grant,2 Jeremy Williams,7 Margaret Neal,1 Heather Wickham,1 Sarah-element high- frequency water quality data set that is openly accessible to the research community. The data
Dominici, Francesca
for 10 metropolitan areas in the United States from 1986 to 1993. We postulate that these time series relative rates of mortality and morbidity associated with exposure to PM10 within each location. The sample covariance matrix of the estimated log relative rates is obtained using a novel generalized estimating
Iriarte, Jose Luis
1994-01-01T23:59:59.000Z
Micro-phytoplankton (>20 gm cell size) was sampled in the upper 200 m of the water column at the Pacific equator, 140'W, during two JGOFS EqPac Time Series Studies, in order to determine the changes in the micro-phytoplanlcton ...
A Fuzzy-Convolution Model for Physical Action and Behaviour Pattern Recognition of 3D Time Series
Hu, Huosheng
A Fuzzy-Convolution Model for Physical Action and Behaviour Pattern Recognition of 3D Time Series-- Pattern Classification, Action Recognition, Fuzzy Classifiers, Signal Convolution. I. INTRODUCTION researchers in pattern recognition on the field of intelligent surveillance. Fuzzy logic has been extensively
Time Series, Load Profiles, Temperature Sensitivity, Weather Adjustment 1 Introduction The quantitative, it is required to use indirect techniques to assess the type of demand they face [10, 11] in order to support their long-term investment planning. In this context, categories of residential, business and in- dustrial
Rabatel, Antoine
measurements. A recent time series of images from optical and SAR data are selected on 3 outlet glaciers well-scale areas. The limitations are cloudiness for optical data and high slope distortion on SAR images. I resolution, repeat coverage, radiometric calibration and stereo capabilities (automatic generation of DEM
ON MACHINE-LEARNED CLASSIFICATION OF VARIABLE STARS WITH SPARSE AND NOISY TIME-SERIES DATA
Richards, Joseph W.; Starr, Dan L.; Butler, Nathaniel R.; Bloom, Joshua S.; Crellin-Quick, Arien; Higgins, Justin; Kennedy, Rachel; Rischard, Maxime [Astronomy Department, University of California, Berkeley, CA 94720-7450 (United States); Brewer, John M., E-mail: jwrichar@stat.berkeley.edu [Astronomy Department, Yale University, New Haven, CT 06520-8101 (United States)
2011-05-20T23:59:59.000Z
With the coming data deluge from synoptic surveys, there is a need for frameworks that can quickly and automatically produce calibrated classification probabilities for newly observed variables based on small numbers of time-series measurements. In this paper, we introduce a methodology for variable-star classification, drawing from modern machine-learning techniques. We describe how to homogenize the information gleaned from light curves by selection and computation of real-numbered metrics (features), detail methods to robustly estimate periodic features, introduce tree-ensemble methods for accurate variable-star classification, and show how to rigorously evaluate a classifier using cross validation. On a 25-class data set of 1542 well-studied variable stars, we achieve a 22.8% error rate using the random forest (RF) classifier; this represents a 24% improvement over the best previous classifier on these data. This methodology is effective for identifying samples of specific science classes: for pulsational variables used in Milky Way tomography we obtain a discovery efficiency of 98.2% and for eclipsing systems we find an efficiency of 99.1%, both at 95% purity. The RF classifier is superior to other methods in terms of accuracy, speed, and relative immunity to irrelevant features; the RF can also be used to estimate the importance of each feature in classification. Additionally, we present the first astronomical use of hierarchical classification methods to incorporate a known class taxonomy in the classifier, which reduces the catastrophic error rate from 8% to 7.8%. Excluding low-amplitude sources, the overall error rate improves to 14%, with a catastrophic error rate of 3.5%.
Likelihood scan of the Super-Kamiokande I time series data
Gioacchino Ranucci
2006-05-12T23:59:59.000Z
In this work a detailed spectral analysis of the time series of the 8B solar neutrino flux published by the Super-Kamiokande Collaboration is presented, performed through a likelihood scan approach. Preliminarily a careful review of the analysis methodology is given, showing that the traditional periodicity search via the Lomb-Scargle periodogram is a special case of a more general likelihood based method. Since the data are published together with the relevant asymmetric errors, it is then shown how the likelihood analysis can be performed either with or without a prior error averaging. A key point of this work is the detailed illustration of the mathematical model describing the statistical properties of the estimated spectra obtained in the various cases, which is also validated through extensive Monte Carlo computations; the model includes a calculation for the prediction of the possible alias effects. In the successive investigation of the data, such a model is used to derive objective, mathematical predictions which are quantitatively compared with the features observed in the experimental spectra. This article clearly demonstrates that the handling of the errors is the origin of the discrepancy between published null observations and claimed significant periodicity in the same SK-I data sample. Moreover, the comprehensive likelihood analysis with asymmetric errors developed in this work provides results which cannot exclude the null hypothesis of constant rate, even though some indications stemming from the model at odd with such conclusion point towards the desirability of additional investigations with alternative methods to shed further light on the characteristics of the data.
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
A Time Series Analysis of Food Price and Its Input Prices
Routh, Kari 1988-
2012-11-27T23:59:59.000Z
of crude oil, gasoline, corn, and ethanol prices, as well as, the relative foreign exchange rate of the U.S. dollar and producer price indexes for food manufacturing and fuel products on domestic food prices are examined. Because the data series are non...
A Time Series Analysis of Food Price and Its Input Prices
Routh, Kari 1988-
2012-11-27T23:59:59.000Z
of crude oil, gasoline, corn, and ethanol prices, as well as, the relative foreign exchange rate of the U.S. dollar and producer price indexes for food manufacturing and fuel products on domestic food prices are examined. Because the data series are non...
Financial time series forecasting with a bio-inspired fuzzy model Jos Luis Aznarte a,
Granada, Universidad de
Alcalá-Fdez b , Antonio Arauzo-Azofra c , José Manuel Benítez b a Center for Energy and Processes (CEP series, as stock prices or level of indices, is a controversial issue which has been questioned nature, the most salient of which is the well-known ARMA model by Box and Jenkins (1970). However, due
Guenther, Frank
L:\\SEO\\SEOGN\\WORK-STUDY\\SWS\\SWS11\\EarningsChart.xls Hourly Rate 10 Hours 15 Hours 20 Hours 25 Hours, 2011 through September 4, 2011, the entire Summer Program). Summer 2011 Earnings Chart #12;L:\\SEO,200 $9,000 $10,800 $25.00 $3,750 $5,625 $7,500 $9,375 $11,250 #12;L:\\SEO\\SEOGN\\WORK-STUDY\\SWS\\SWS11
Ryabko, Boris
2007-01-01T23:59:59.000Z
We address the problem of nonparametric estimation of characteristics for stationary and ergodic time series. We consider finite-alphabet time series and real-valued ones and the following four problems: i) estimation of the (limiting) probability (or estimation of the density for real-valued time series), ii) on-line prediction, iii) regression and iv) classification (or so-called problems with side information). We show that so-called archivers (or data compressors) can be used as a tool for solving these problems. In particular, firstly, it is proven that any so-called universal code (or universal data compressor) can be used as a basis for constructing asymptotically optimal methods for the above problems. (By definition, a universal code can "compress" any sequence generated by a stationary and ergodic source asymptotically till the Shannon entropy of the source.) And, secondly, we show experimentally that estimates, which are based on practically used methods of data compression, have a reasonable preci...
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 the production of textual summaries. We extend KBTA framework to the gas turbine domain and propose to generate
FINANCE DEPARTMENT Office Hours Fall 2014
Gallo, Linda C.
FINANCE DEPARTMENT Office Hours Fall 2014 NAME OFFICE HOURS COURSE # COURSE TITLE DAY TIME ROOM-1515 and by appointment FIN 323.8 FIN 323.9 FIN 323.11 FIN 326.1 Fundamentals of Finance Fundamentals of Finance Fundamentals of Finance Financial Institution Mgt TTH TTH TH TTH 0930-1045 1100-1215 1600-1840 1230-1345 GMCS
EMCS and time-series energy data analysis in a large government office building
Piette, Mary Ann; Kinney, Satkartar; Friedman, Hannah
2001-04-01T23:59:59.000Z
Energy Management Control System (EMCS) data are an underutilized source of information on the performance of commercial buildings. Newer EMCS's have the ability and storage capacity to trend large amounts of data and perform preliminary analyses; however, these features often receive little or no use, as operators are generally not trained in data management, visualization, and analysis. Whole-building hourly electric-utility data are another readily available and underutilized source of information. This paper outlines the use of EMCS and utility data to evaluate the performance of the Ronald V. Dellums Federal Building in Oakland, California, a large office building operated by the Federal General Services Administration (GSA). The project began as an exploratory effort at Lawrence Berkeley National Laboratory (LBNL) to examine the procedures operators were using to obtain information and operate their buildings. Trending capabilities were available, but in limited use by the operators. LBNL worked with the building operators to use EMCS to trend one-minute data for over one-hundred points. Hourly electricity-use data were also used to understand usage patterns and peak demand. The paper describes LBNL's key findings in the following areas: Characterization of cooling plant operations; Characterization of economizer performance; Analysis of annual energy use and peak demand operations; Techniques, strengths, and shortcomings of EMCS data analysis; Future plans at the building for web-based remote monitoring and diagnostics. These findings have helped GSA develop strategies for peak demand reduction in this and other GSA buildings. Such activities are of great interest in California and elsewhere, where electricity reliability and demand are currently problematic. Overall, though the building's energy use is fairly low, significant energy savings are available by improving the existing EMCS control strategies.
NERSC Carver Hours Used Report
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Carver Hours Used Carver Hours Used Hopper Usage Chart Hopper Usage Chart Date Hours Used (in millions) Percent of Maximum Possible (24 hoursday) 12152014 161.25 84.75 1214...
Time-series investigation of anomalous thermocouple responses in a liquid-metal-cooled reactor
Gross, K.C.; Planchon, H.P.; Poloncsik, J.
1988-03-24T23:59:59.000Z
A study was undertaken using SAS software to investigate the origin of anomalous temperature measurements recorded by thermocouples (TCs) in an instrumented fuel assembly in a liquid-metal-cooled nuclear reactor. SAS macros that implement univariate and bivariate spectral decomposition techniques were employed to analyze data recorded during a series of experiments conducted at full reactor power. For each experiment, data from physical sensors in the tests assembly were digitized at a sampling rate of 2/s and recorded on magnetic tapes for subsequent interactive processing with CMS SAS. Results from spectral and cross-correlation analyses led to the identification of a flow rate-dependent electromotive force (EMF) phenomenon as the origin of the anomalous TC readings. Knowledge of the physical mechanism responsible for the discrepant TC signals enabled us to device and justify a simple correction factor to be applied to future readings.
Savran, Darko; Blesic, Suzana; Miljkovic, Vladimir
2014-01-01T23:59:59.000Z
In this paper we have analyzed scaling properties of time series of stock market indices (SMIs) of developing economies of Western Balkans, and have compared the results we have obtained with the results from more developed economies. We have used three different techniques of data analysis to obtain and verify our findings: Detrended Fluctuation Analysis (DFA) method, Detrended Moving Average (DMA) method, and Wavelet Transformation (WT) analysis. We have found scaling behavior in all SMI data sets that we have analyzed. The scaling of our SMI series changes from long-range correlated to slightly anti-correlated behavior with the change in growth or maturity of the economy the stock market is embedded in. We also report the presence of effects of potential periodic-like influences on the SMI data that we have analyzed. One such influence is visible in all our SMI series, and appears at a period $T_{p}\\approx 90$ days. We propose that the existence of various periodic-like influences on SMI data may partially...
TIME SERIES ANALYSIS FOR THE CF SOURCE IN SUDBURY NEUTRINO OBSERVATORY
Analysis . . . . . . . . . . . . . . . . . . . . . . . . 4 2 The Theory Leading to the Californium Time . . . . . . . . . . . . . 10 2.1.3 A Typical Event Chronology . . . . . . . . . . . . . . . . . . . 13 2.2 The Survival Function . . . . . . . . . . . . . . . . . . . . . . . . . . 15 2.2.1 The Survival Function for a Single
Looking for granulation and periodicity imprints in the sunspot time series
Lopes, Ilidio
2015-01-01T23:59:59.000Z
The sunspot activity is the end result of the cyclic destruction and regeneration of magnetic fields by the dynamo action. We propose a new method to analyze the daily sunspot areas data recorded since 1874. By computing the power spectral density of daily data series using the Mexican hat wavelet, we found a power spectrum with a well-defined shape, characterized by three features. The first term is the 22 yr solar magnetic cycle, estimated in our work to be of 18.43 yr. The second term is related to the daily volatility of sunspots. This term is most likely produced by the turbulent motions linked to the solar granulation. The last term corresponds to a periodic source associated with the solar magnetic activity, for which the maximum of power spectral density occurs at 22.67 days. This value is part of the 22-27 day periodicity region that shows an above-average intensity in the power spectra. The origin of this 22.67 day periodic process is not clearly identified, and there is a possibility that it can be...
Chasek, N.E.
1997-12-31T23:59:59.000Z
This paper proposes six agenda items that should expedite a politically smooth transition into a most efficient economically viable market-driven public power system. The agenda would introduce: the virtual marketplace for retail electric power, smart meters, smart meter readers, near-real-time load balancing and load apportionment, advanced supply and demand or commodity-style pricing, and reliability metering.
Spakowitz, Andrew J.
: Was there a significant difference in the time of falling for the ping-pong ball versus the marble? Does the acceleration 6in long, but the precise size does not matter) · 1-2 thick textbooks · 2 large marbles · 1 ping fall along a straight line? Yes, it should. What is the slope of the line? Slope should
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes | National NuclearInterlibrary LoanSafeguardsInternshipsintra-hour
Private and Dynamic Time-Series Data Aggregation with Trust Relaxation
of users along a specific time period. These statistics can then help the energy provider perform various operations such as load balancing and forecasting for potential acquirement. Despite its merits, statistical analyzer to compute global statistics over the set of individual inputs that are protected by some
Fernandez, Thomas
Comparative application of artificial neural networks and genetic algorithms for multivariate time of artificial neural networks and genetic algorithms in terms of forecasting and understanding of algal blooms-a, Microcystis, short-term prediction, artificial neural network model, genetic algorithm model, rule sets
DePaolo, Donald J.; Maher, Kate; Christensen, John N.; McManus,Jerry
2006-06-05T23:59:59.000Z
High precision uranium isotope measurements of marineclastic sediments are used to measure the transport and storage time ofsediment from source to site of deposition. The approach is demonstratedon fine-grained, late Pleistocene deep-sea sediments from Ocean DrillingProgram Site 984A on the Bjorn Drift in the North Atlantic. The sedimentsare siliciclastic with up to 30 percent carbonate, and dated by sigma 18Oof benthic foraminifera. Nd and Sr isotopes indicate that provenance hasoscillated between a proximal source during the last three interglacialperiods volcanic rocks from Iceland and a distal continental sourceduring glacial periods. An unexpected finding is that the 234U/238Uratios of the silicate portion of the sediment, isolated by leaching withhydrochloric acid, are significantly less than the secular equilibriumvalue and show large and systematic variations that are correlated withglacial cycles and sediment provenance. The 234U depletions are inferredto be due to alpha-recoil loss of234Th, and are used to calculate"comminution ages" of the sediment -- the time elapsed between thegeneration of the small (<_ 50 mu-m) sediment grains in the sourceareas by comminution of bedrock, and the time of deposition on theseafloor. Transport times, the difference between comminution ages anddepositional ages, vary from less than 10 ky to about 300 to 400 ky forthe Site 984A sediments. Long transport times may reflect prior storagein soils, on continental shelves, or elsewhere on the seafloor. Transporttime may also be a measure of bottom current strength. During the mostrecent interglacial periods the detritus from distal continental sourcesis diluted with sediment from Iceland that is rapidly transported to thesite of deposition. The comminution age approach could be used to dateQuaternary non-marine sediments, soils, and atmospheric dust, and may beenhanced by concomitant measurement of 226Ra/230Th, 230Th/234U, andcosmogenic nuclides.
Heal, Mathew R; Elton, Robert A; Hibbs, Leon R; Agius, Raymond M; Beverland, Iain J
2009-01-01T23:59:59.000Z
-soluble and total-extractable content of 11 trace metals determined in each sample. Time series were analysed using generalised additive Poisson regression models, including adjustment for minimum temperature and loess smoothing of trends. Methods were explored...
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
Marzouk, Youssef; Fast P. (Lawrence Livermore National Laboratory, Livermore, CA); Kraus, M. (Peterson AFB, CO); Ray, J. P.
2006-01-01T23:59:59.000Z
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.
Time series association learning
Papcun, George J. (Santa Fe, NM)
1995-01-01T23:59:59.000Z
An acoustic input is recognized from inferred articulatory movements output by a learned relationship between training acoustic waveforms and articulatory movements. The inferred movements are compared with template patterns prepared from training movements when the relationship was learned to regenerate an acoustic recognition. In a preferred embodiment, the acoustic articulatory relationships are learned by a neural network. Subsequent input acoustic patterns then generate the inferred articulatory movements for use with the templates. Articulatory movement data may be supplemented with characteristic acoustic information, e.g. relative power and high frequency data, to improve template recognition.
Carter, Joshua A.; Winn, Joshua N., E-mail: carterja@mit.ed, E-mail: jwinn@mit.ed [Department of Physics and Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, Cambridge, MA 02139 (United States)
2009-10-10T23:59:59.000Z
We consider the problem of fitting a parametric model to time-series data that are afflicted by correlated noise. The noise is represented by a sum of two stationary Gaussian processes: one that is uncorrelated in time, and another that has a power spectral density varying as 1/f{sup g}amma. We present an accurate and fast [O(N)] algorithm for parameter estimation based on computing the likelihood in a wavelet basis. The method is illustrated and tested using simulated time-series photometry of exoplanetary transits, with particular attention to estimating the mid-transit time. We compare our method to two other methods that have been used in the literature, the time-averaging method and the residual-permutation method. For noise processes that obey our assumptions, the algorithm presented here gives more accurate results for mid-transit times and truer estimates of their uncertainties.
Team Surpasses 1 Million Hours Safety Milestone
Broader source: Energy.gov [DOE]
NISKAYUNA, N.Y. – Vigilance and dedication to safety led the EM program’s disposition project team at the Separations Process Research Unit (SPRU) to achieve a milestone of one million hours — over two-and-a-half-years — without injury or illness resulting in time away from work.
Hybrid methodology for hourly global radiation forecasting in Mediterranean area
Voyant, Cyril; Paoli, Christophe; Nivet, Marie Laure
2012-01-01T23:59:59.000Z
The renewable energies prediction and particularly global radiation forecasting is a challenge studied by a growing number of research teams. This paper proposes an original technique to model the insolation time series based on combining Artificial Neural Network (ANN) and Auto-Regressive and Moving Average (ARMA) model. While ANN by its non-linear nature is effective to predict cloudy days, ARMA techniques are more dedicated to sunny days without cloud occurrences. Thus, three hybrids models are suggested: the first proposes simply to use ARMA for 6 months in spring and summer and to use an optimized ANN for the other part of the year; the second model is equivalent to the first but with a seasonal learning; the last model depends on the error occurred the previous hour. These models were used to forecast the hourly global radiation for five places in Mediterranean area. The forecasting performance was compared among several models: the 3 above mentioned models, the best ANN and ARMA for each location. In t...
Rocke, David M.
Analysis of MALDI FT-ICR Mass Spectrometry Data: a Time Series Approach Donald A. Barkauskasa/ionization Fourier transform ion cyclotron resonance mass spectrometry is a technique for high mass gamma distribution with varying scale parameter but constant shape parameter and exponent. This enables
Pay and Leave Administration and Hours of Duty
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
2011-01-19T23:59:59.000Z
The order establishes requirements and responsibilities for the management of pay, including overtime pay and compensatory time, leave administration, time and attendance reporting, and hours of duty. Cancels DOE O 322.1B and DOE O 535.1
Workers at Paducah Site Exceed 1.5 Million Hours Without Lost...
Office of Environmental Management (EM)
at Paducah Site Exceed 1.5 Million Hours Without Lost-Time Injury, Illness Workers at Paducah Site Exceed 1.5 Million Hours Without Lost-Time Injury, Illness October 30, 2014 -...
Pay and Leave Administration and Hours of Duty
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
2005-01-14T23:59:59.000Z
This Order establishes requirements and responsibilities for the management of pay, including overtime and compensatory time, leave administration, and hours of duty. Cancels DOE O 322.1A. Canceled by DOE O 322.1C.
Oak Ridge: Approaching 4 Million Safe Work Hours
Broader source: Energy.gov [DOE]
Workers at URS | CH2M Oak Ridge (UCOR), the prime contractor for EM’s Oak Ridge cleanup, are approaching a milestone of 4 million safe work hours without a lost time away incident.
Grzegorz Litak; Rodolfo Taccani; Krzysztof Urbanowicz; Janusz A. Holyst; Miroslaw Wendeker; Alessandro Giadrossi
2004-05-22T23:59:59.000Z
We report our results on non-periodic experimental time series of pressure in a single cylinder spark ignition engine. The experiments were performed for different levels of loading. We estimate the noise level in internal pressure calculating the coarse-grained entropy from variations of maximal pressures in successive cycles. The results show that the dynamics of the combustion is a nonlinear multidimensional process mediated by noise. Our results show that so defined level of noise in internal pressure is not monotonous function of loading.
Hurley, J.R.; Gilker, C.S.
1984-08-21T23:59:59.000Z
A watt-hour meter is disclosed which includes: a microprocessor coupled to a solid-state Hall-Effect sensor; an electrically alterable ROM coupled to the microprocessor; a power supply; a power outage timing means using the discharge characteristic of a capacitor; apparatus for supplying a 60 Hz clock signal to the microprocessor; a readout device coupled to the microprocessor to provide an indication of the power consumed; an output on the microprocessor for controlling a circuit breaker; and a switch for overriding the microprocessor controlled circuit breaker. The microprocessor and the electrically alterable ROM are connected and programmed: to sense the time of day as determined from an initial time of day and setting the 60 Hz clock signal; to sense and compute the power used by the consumer; to automatically open the circuit breaker when power demand on the electric power source is high and/or the cost per kilowatt hour is high; to automatically close the circuit breaker when the power demand on the source of electric power is low and/or the cost per kilowatt power is low; and to allow a consumer to override the microprocessor's control of the circuit breaker.
NERSC Carver Hours Used Report
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLove Your1Allocations NERSC Allocations:Carver Hours Used Carver
NERSC Franklin Hours Used Report
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLove Your1AllocationsNOVA Portal: Submit2014 NERSCFranklin Hours
Jensen, Deborah Larkey
2005-02-17T23:59:59.000Z
The purpose of this exploratory case study was to describe an expert teacher?s decision-making system during interactive instruction using teacher self-report information, classroom observation data, and physiological recordings. Timed recordings...
Environmental Research Group 2014 Fall Seminar Series
Environmental Research Group 2014 Fall Seminar Series October 24, 2014 Gregg 320, 12:00 1 of five hours, the city of Boston would have sustained even more damage from Hurricane Sandy than New York
Verification of hourly forecasts of wind turbine power output
Wegley, H.L.
1984-08-01T23:59:59.000Z
A verification of hourly average wind speed forecasts in terms of hourly average power output of a MOD-2 was performed for four sites. Site-specific probabilistic transformation models were developed to transform the forecast and observed hourly average speeds to the percent probability of exceedance of an hourly average power output. (This transformation model also appears to have value in predicting annual energy production for use in wind energy feasibility studies.) The transformed forecasts were verified in a deterministic sense (i.e., as continuous values) and in a probabilistic sense (based upon the probability of power output falling in a specified category). Since the smoothing effects of time averaging are very pronounced, the 90% probability of exceedance was built into the transformation models. Semiobjective and objective (model output statistics) forecasts were made compared for the four sites. The verification results indicate that the correct category can be forecast an average of 75% of the time over a 24-hour period. Accuracy generally decreases with projection time out to approx. 18 hours and then may increase due to the fairly regular diurnal wind patterns that occur at many sites. The ability to forecast the correct power output category increases with increasing power output because occurrences of high hourly average power output (near rated) are relatively rare and are generally not forecast. The semiobjective forecasts proved superior to model output statistics in forecasting high values of power output and in the shorter time frames (1 to 6 hours). However, model output statistics were slightly more accurate at other power output levels and times. Noticeable differences were observed between deterministic and probabilistic (categorical) forecast verification results.
Wang, Ruofan; Wang, Jiang; Deng, Bin, E-mail: dengbin@tju.edu.cn; Liu, Chen; Wei, Xile [Department of Electrical and Automation Engineering, Tianjin University, Tianjin (China)] [Department of Electrical and Automation Engineering, Tianjin University, Tianjin (China); Tsang, K. M.; Chan, W. L. [Department of Electrical Engineering, The Hong Kong Polytechnic University, Kowloon (Hong Kong)] [Department of Electrical Engineering, The Hong Kong Polytechnic University, Kowloon (Hong Kong)
2014-03-15T23:59:59.000Z
A combined method composing of the unscented Kalman filter (UKF) and the synchronization-based method is proposed for estimating electrophysiological variables and parameters of a thalamocortical (TC) neuron model, which is commonly used for studying Parkinson's disease for its relay role of connecting the basal ganglia and the cortex. In this work, we take into account the condition when only the time series of action potential with heavy noise are available. Numerical results demonstrate that not only this method can estimate model parameters from the extracted time series of action potential successfully but also the effect of its estimation is much better than the only use of the UKF or synchronization-based method, with a higher accuracy and a better robustness against noise, especially under the severe noise conditions. Considering the rather important role of TC neuron in the normal and pathological brain functions, the exploration of the method to estimate the critical parameters could have important implications for the study of its nonlinear dynamics and further treatment of Parkinson's disease.
Mitchell, Christopher J [Los Alamos National Laboratory; Ahrens, James P [Los Alamos National Laboratory; Wang, Jun [UCF
2010-10-15T23:59:59.000Z
Petascale simulations compute at resolutions ranging into billions of cells and write terabytes of data for visualization and analysis. Interactive visuaUzation of this time series is a desired step before starting a new run. The I/O subsystem and associated network often are a significant impediment to interactive visualization of time-varying data; as they are not configured or provisioned to provide necessary I/O read rates. In this paper, we propose a new I/O library for visualization applications: VisIO. Visualization applications commonly use N-to-N reads within their parallel enabled readers which provides an incentive for a shared-nothing approach to I/O, similar to other data-intensive approaches such as Hadoop. However, unlike other data-intensive applications, visualization requires: (1) interactive performance for large data volumes, (2) compatibility with MPI and POSIX file system semantics for compatibility with existing infrastructure, and (3) use of existing file formats and their stipulated data partitioning rules. VisIO, provides a mechanism for using a non-POSIX distributed file system to provide linear scaling of 110 bandwidth. In addition, we introduce a novel scheduling algorithm that helps to co-locate visualization processes on nodes with the requested data. Testing using VisIO integrated into Para View was conducted using the Hadoop Distributed File System (HDFS) on TACC's Longhorn cluster. A representative dataset, VPIC, across 128 nodes showed a 64.4% read performance improvement compared to the provided Lustre installation. Also tested, was a dataset representing a global ocean salinity simulation that showed a 51.4% improvement in read performance over Lustre when using our VisIO system. VisIO, provides powerful high-performance I/O services to visualization applications, allowing for interactive performance with ultra-scale, time-series data.
Toward the 24-Hour Knowledge Factory
Gupta, Amar
2004-03-12T23:59:59.000Z
The term 24-Hour Knowledge Factory connotes a globally distributed work environment in which members of the global team work on a project around the clock; each member of the team works the normal workday hours that pertain ...
Pay and Leave Administration and Hours of Duty
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
2011-01-19T23:59:59.000Z
The order establishes requirements and responsibilities for the management of pay, including overtime pay and compensatory time, leave administration, time and attendance reporting, and hours of duty. Cancels DOE O 322.1B and DOE O 535.1. Admin Chg 1, dated 5-10-12, cancels DOE O 322.1C.
Puschmann, K G; Vazquez, M; Bonet, J A; Hanslmeier, A; 10.1051/0004-6361:20047193
2012-01-01T23:59:59.000Z
From the inversion of a time series of high resolution slit spectrograms obtained from the quiet sun, the spatial and temporal distribution of the thermodynamical quantities and the vertical flow velocity is derived as a function of logarithmic optical depth and geometrical height. Spatial coherence and phase shift analyzes between temperature and vertical velocity depict the height variation of these physical quantities for structures of different size. An average granular cell model is presented, showing the granule-intergranular lane stratification of temperature, vertical velocity, gas pressure and density as a function of logarithmic optical depth and geometrical height. Studies of a specific small and a specific large granular cell complement these results. A strong decay of the temperature fluctuations with increasing height together with a less efficient penetration of smaller cells is revealed. The T -T coherence at all granular scales is broken already at log tau =-1 or z~170 km. At the layers beyon...
OASIS This Hour and Next Hour ATC data - September 24, 2014
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
CommitteesTeams Customer Training Interconnection Notices Rates Standards of Conduct Tariff TF Web Based Training Notice: OASIS This Hour and Next Hour ATC data (Updated) Posted...
OASIS This Hour and Next Hour ATC Data - October 21, 2014
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
CommitteesTeams Customer Training Interconnection Notices Rates Standards of Conduct Tariff TF Web Based Training Notice: OASIS This Hour and Next Hour ATC data Posted Date: 10...
Faculty Office Hours Fall 2013 OfficeOffice Hours Course Day Time Room
Zhang, Yanchao
-04MWF 10:30-11:45 EEE539 ECGG236MW 3:00-4:15 Frakes ISTB1 281F Thursdays 1:00-4:00pm (when not traveling
Faculty Office Hours Fall 2013 OfficeOffice Hours Course Day Time Room
Reisslein, Martin
ECGG236MW 3:00-4:15 Frakes ISTB1 281F Thursdays 1:00-4:00pm (when not traveling) EEE598 BYAC270TTh 9
Aegis Combat and Weapon Systems Overview 24 hours, $1495
Fork, Richard
SEprocessensuresthatsystemsaredevelopedtomeet affordable, operationally effective, and timely mission objectives. FocusonengineeringtheWeaponAegis Combat and Weapon Systems Overview 24 hours, $1495 Launched from the Advanced Surface Missile that led to the initiation of Aegis. Topics Include: · AegisOverviewandHistory · AegisBMD · AegisWeapon
Martin Wilde, Principal Investigator
2012-12-31T23:59:59.000Z
ABSTRACT Application of Real-Time Offsite Measurements in Improved Short-Term Wind Ramp Prediction Skill Improved forecasting performance immediately preceding wind ramp events is of preeminent concern to most wind energy companies, system operators, and balancing authorities. The value of near real-time hub height-level wind data and more general meteorological measurements to short-term wind power forecasting is well understood. For some sites, access to onsite measured wind data - even historical - can reduce forecast error in the short-range to medium-range horizons by as much as 50%. Unfortunately, valuable free-stream wind measurements at tall tower are not typically available at most wind plants, thereby forcing wind forecasters to rely upon wind measurements below hub height and/or turbine nacelle anemometry. Free-stream measurements can be appropriately scaled to hub-height levels, using existing empirically-derived relationships that account for surface roughness and turbulence. But there is large uncertainty in these relationships for a given time of day and state of the boundary layer. Alternatively, forecasts can rely entirely on turbine anemometry measurements, though such measurements are themselves subject to wake effects that are not stationary. The void in free-stream hub-height level measurements of wind can be filled by remote sensing (e.g., sodar, lidar, and radar). However, the expense of such equipment may not be sustainable. There is a growing market for traditional anemometry on tall tower networks, maintained by third parties to the forecasting process (i.e., independent of forecasters and the forecast users). This study examines the value of offsite tall-tower data from the WINDataNOW Technology network for short-horizon wind power predictions at a wind farm in northern Montana. The presentation shall describe successful physical and statistical techniques for its application and the practicality of its application in an operational setting. It shall be demonstrated that when used properly, the real-time offsite measurements materially improve wind ramp capture and prediction statistics, when compared to traditional wind forecasting techniques and to a simple persistence model.
Earned Value Management Essentials 14 hours, $895
Fork, Richard
Earned Value Management Essentials 14 hours, $895 A growing demand for Earned Value Management (EVM in the tenets of work planned, work accomplished, and actual work cost. Earned Value terminology, formulae Management Analysis and Reporting 14 hours, $895 Government agencies and companies doing business
1. Sending some rejection notes to deals that we are going to pass on.about 14 hours ago via web
Plotkin, Joshua B.
1. Sending some rejection notes to deals that we are going to pass on.about 14 hours ago via web 2 much action going on!about 14 hours ago via web 3. Just got new commitment from top tier venture firm for Series B funding for another portfolio company.about 14 hours ago via web 4. interview with a potential
Contreras, R. [INAF-Osservatorio Astronomico di Bologna, via Ranzani 1, 40127, Bologna (Italy); Catelan, M. [Departamento de AstronomIa y Astrofisica, Pontificia Universidad Catolica de Chile, Av. Vicuna Mackenna 4860, 782-0436 Macul, Santiago (Chile); Smith, H. A.; Kuehn, C. A. [Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824 (United States); Pritzl, B. J. [Department of Physics and Astronomy, University of Wisconsin, Oshkosh, WI 54901 (United States); Borissova, J. [Departamento de Fisica y AstronomIa, Facultad de Ciencias, Universidad de ValparaIso, Ave. Gran Bretana 1111, Playa Ancha, Casilla 5030, ValparaIso (Chile)
2010-12-15T23:59:59.000Z
We present new time-series CCD photometry, in the B and V bands, for the moderately metal-rich ([Fe/H] {approx_equal} -1.3) Galactic globular cluster M62 (NGC 6266). The present data set is the largest obtained so far for this cluster and consists of 168 images per filter, obtained with the Warsaw 1.3 m telescope at the Las Campanas Observatory and the 1.3 m telescope of the Cerro Tololo Inter-American Observatory, in two separate runs over the time span of 3 months. The procedure adopted to detect the variable stars was the optimal image subtraction method (ISIS v2.2), as implemented by Alard. The photometry was performed using both ISIS and Stetson's DAOPHOT/ALLFRAME package. We have identified 245 variable stars in the cluster fields that have been analyzed so far, of which 179 are new discoveries. Of these variables, 133 are fundamental mode RR Lyrae stars (RRab), 76 are first overtone (RRc) pulsators, 4 are type II Cepheids, 25 are long-period variables (LPVs), 1 is an eclipsing binary, and 6 are not yet well classified. Such a large number of RR Lyrae stars places M62 among the top two most RR Lyrae-rich (in the sense of total number of RR Lyrae stars present) globular clusters known in the Galaxy, second only to M3 (NGC 5272) with a total of 230 known RR Lyrae stars. Since this study covers most but not all of the cluster area, it is not unlikely that M62 is in fact the most RR Lyrae-rich globular cluster in the Galaxy. In like vein, thanks to the time coverage of our data sets, we were also able to detect the largest sample of LPVs known so far in a Galactic globular cluster. We analyze a variety of Oosterhoff type indicators for the cluster, including mean periods, period distribution, Bailey diagrams, and Fourier decomposition parameters (as well as the physical parameters derived therefrom). All of these indicators clearly show that M62 is an Oosterhoff type I system. This is in good agreement with the moderately high metallicity of the cluster, in spite of its predominantly blue horizontal branch morphology-which is more typical of Oosterhoff type II systems. We thus conclude that metallicity plays a key role in defining Oosterhoff type. Finally, based on an application of the 'A-method', we conclude that the cluster RR Lyrae stars have a similar He abundance as M3, although more work on the temperatures of the M62 RR Lyrae is needed before this result can be conclusively established.
Toward the 24-Hour Knowledge Factory
Gupta, Amar
2004-12-10T23:59:59.000Z
The term 24-Hour Knowledge Factory connotes a globally distributed work environment in which members of the global team work on a project around the clock; each member of the team works the normal workday ...
“Friday off”: Reducing Working Hours in Europe
Kallis, Giorgos
This article explores the pros and cons for reducing working hours in Europe. To arrive to an informed judgment we review critically the theoretical and empirical literature, mostly from economics, concerning the relation ...
DOE Awards 265 Million Hours of Supercomputing Time to Advance...
Office of Environmental Management (EM)
Institute of Standards and Technology; the Max-Planck Institute for Quantum Optics in Germany; CERFACS, the European Center for Research and Advanced Training in Scientific...
A Survey of Utility Experience with Real Time Pricing
Barbose, Galen; Goldman, Charles; Neenan, Bernie
2004-01-01T23:59:59.000Z
Day Ahead Hourly Time of Use Tariff Description This is aTariff Name Real Time Pricing: Non-Residential Service Day Ahead Hourly Time of Use
Saskatchewan, University of
lter Eco-friendly,GoodTCO,and Easy Operation The VPL-E Series is an Excellent Choice for Education consumption, allowing users to make significant savings on their electricity expenses. Simple Projector in education or business. The values are approximate. VPL-EX120 Conventional Model 6000 hours Longer Lamp
Inventories, Employment and Hours Marzio Galeotti a
Niebur, Ernst
Inventories, Employment and Hours Marzio Galeotti a , Louis J. Maccini ,*b , Fabio Schiantarelli c that integrates inventory and labor decisions. We extend a model of inventory behavior to include a detailed and effort per worker. We estimate jointly the Euler equations for inventories and employment, a labor
Project Management Foundation 21 hours, $895
Alabama in Huntsville, University of
,anddiditmeetthecustomer'srequirements?Participants will become skilled with earned value measures, proficient with performanceindexes.824.6372·800.448.4031 Earn a Professional Certificate In Project Management Certificate awarded after completion ofProject Management Foundation 21 hours, $895 The fundamental project management processes
SCHOOL OF MATHEMATICS AND STATISTICS Spring Semester Introductory Mathematical Finance and Time
of Price per Expected Standard deviation shares share return of return Greed Plc 1,000 Â¿20 20% 50% Safety Finance and Time Series 3 hours Marks will be awarded for your best ve answers. Questions 1-3 are CLOSE months, ABC Plc will pay a single dividend of 50p per share in 6 months. (a) Find the present value
Engineering Instutute Seminar Series
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Engineering Institute Engineering Instutute Seminar Series Engineering Instutute Seminar Series Calendar Contact Professional Staff Assistant Jutta Kayser Engineering Institute...
Attachment 3: Hourly Labor Rate Proposal, attachment 3, RFP RHT...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Hourly Labor Rate Proposal RFP RHT-5-52358 Basic Period - Execution through 12 Months Labor Category Base Rate Hourly Labor Overhead % Fringe Benefits % General & Admin. Exp. %...
Question of the Week: How Are You Observing Earth Hour? | Department...
Broader source: Energy.gov (indexed) [DOE]
Sunday, people across the country will spring forward an hour, marking the start to Daylight Saving Time. | Photo courtesy of iStock Photo, WoodyUpstate. Top 8 Things You Didn't...
Is the hourly data I get from NREL's PV Watts program adjusted...
get from NREL's PV Watts program adjusted for daylight savings time. Home I take the hourly AC output numbers and apply them to a program I built that assigns a dollar value to the...
Test Series 2. 3 detailed test plan
Not Available
1983-12-01T23:59:59.000Z
Test Series 2.3 is chronologically the second of the five sub-series of tests which comprise Test Series 2, the second major Test Series as part of the combustion research phase to be carried out at the Grimethorpe Experimental Pressurised Fluidised Bed Combustion Facility. Test Series 2.3 will consist of 700 data gathering hours which is expected to require some 1035 coal burning hours. The tests will be performed using US supplied coal and dolomite. This will be the first major series of tests on the Facility with other than the UK datum coal and dolomite. The document summarises the background to the facility and the experimental program. Described are modifications which have been made to the facility following Test Series 2.1 and a series of Screening Tests. Detailed test objectives are specified as are the test conditions for the experiments which comprise the test series. The test results will provide information on the effects of the bed temperature, excess air level, Ca/S ratio, number of coal feed lines, and combustion efficiency and sulphur retention. A significant aspect of the test series will be part load tests which will investigate the performance of the facility under conditions of turn down which simulate load following concepts specified for two combined cycle concepts, i.e., their CFCC combined cycle and a turbo charged combined cycle. The material test plan is also presented. The principal feature of the materials programme is the planned exposure of a set of static turbine blade specimens in a cascade test loop to the high temperature, high pressure flue gas. A schedule for the programme is presented as are contingency plans.
340 3 CEE 350 3 CEE 335 1 CEE 304 3 CEE 240 3 Interpreting the Past 3 Major Coursework: Credit Hours sheet does not include the University's General Education Language and Culture Requirement. Additional
Offin, Dan
Math 421 Fourier Series Autumn 2006 Text: Fourier Series, by Rajendra Bhatia, Math. Assoc. of America, 2005. Topics Covered: Â Ch. 1, Fourier series and the heat equation Â Ch. 2, Convergence of Fourier series Â Ch. 3, Sine and cosine series, arbitrary pe- riods, sin(x)/x, Gibbs's phenomenon Â Ch. 4
Green Machine Florida Canyon Hourly Data
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Vanderhoff, Alex
Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 6/1/13 to 6/30/13
20140430_Green Machine Florida Canyon Hourly Data
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Thibedeau, Joe
Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 April to 30 April 2014.
20130416_Green Machine Florida Canyon Hourly Data
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Vanderhoff, Alex
Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 4/16/13.
Green Machine Florida Canyon Hourly Data 20130731
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Vanderhoff, Alex
Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 7/1/13 to 7/31/13.
20140430_Green Machine Florida Canyon Hourly Data
Thibedeau, Joe
2014-05-05T23:59:59.000Z
Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 April to 30 April 2014.
Green Machine Florida Canyon Hourly Data 20130731
Vanderhoff, Alex
2013-08-30T23:59:59.000Z
Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 7/1/13 to 7/31/13.
20130416_Green Machine Florida Canyon Hourly Data
Vanderhoff, Alex
2013-04-24T23:59:59.000Z
Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 4/16/13.
Green Machine Florida Canyon Hourly Data
Vanderhoff, Alex
2013-07-15T23:59:59.000Z
Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 6/1/13 to 6/30/13
Insights from Smart Meters: The Potential for Peak-Hour Savings from Behavior-Based Programs
Todd, Annika; Perry, Michael; Smith, Brian; Sullivan, Michael; Cappers, Peter; Goldman, Charles
2014-03-25T23:59:59.000Z
The rollout of smart meters in the last several years has opened up new forms of previously unavailable energy data. Many utilities are now able in real-time to capture granular, household level interval usage data at very high-frequency levels for a large proportion of their residential and small commercial customer population. This can be linked to other time and locationspecific information, providing vast, constantly growing streams of rich data (sometimes referred to by the recently popular buzz word, “big data”). Within the energy industry there is increasing interest in tapping into the opportunities that these data can provide. What can we do with all of these data? The richness and granularity of these data enable many types of creative and cutting-edge analytics. Technically sophisticated and rigorous statistical techniques can be used to pull interesting insights out of this highfrequency, human-focused data. We at LBNL are calling this “behavior analytics”. This kind of analytics has the potential to provide tremendous value to a wide range of energy programs. For example, highly disaggregated and heterogeneous information about actual energy use would allow energy efficiency (EE) and/or demand response (DR) program implementers to target specific programs to specific households; would enable evaluation, measurement and verification (EM&V) of energy efficiency programs to be performed on a much shorter time horizon than was previously possible; and would provide better insights in to the energy and peak hour savings associated with specifics types of EE and DR programs (e.g., behavior-based (BB) programs). In this series, “Insights from Smart Meters”, we will present concrete, illustrative examples of the type of value that insights from behavior analytics of these data can provide (as well as pointing out its limitations). We will supply several types of key findings, including: • Novel results, which answer questions the industry previously was unable to answer; • Proof-of-concept analytics tools that can be adapted and used by others; and • Guidelines and protocols that summarize analytical best practices. This report focuses on one example of the kind of value that analysis of this data can provide: insights into whether behavior-based (BB) efficiency programs have the potential to provide peak-hour energy savings.
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
ESSENTIAL SKILLS (6-16 credit hours) Writing as Critical Thinking (3 credit hours)
Gering, Jon C.
(template) Aesthetic--Literature (3 credit hours) CLAS 261 Greek Literature in Translation CLAS 262 Roman Literature RUSS 340 Russian Drama RUSS 370 Survey of Russian Literature I RUSS 371 Survey of Russian Literature II RUSS 420 Modern Russian Novel RUSS 480 Major Russian Writers SPAN 460 Survey of Spanish
Lee, Tonghun
semester hours including one 300- or 400-level course and one Political Science/Economics course FR 418 and European Cinema 3 492 New Scandinavian Cinema 3 496 Special Topics in Scandinavian Studies Political Science/Economics Courses: ACE 451 Economics of International Development 3 455 International
Lee, Tonghun
to Classical Japanese 3 409 Social Science Reading in Japanese 3 (H) 440/441 Fourth Year Japanese I/II 3 Other: minimum of 9 semester hours including one 300- or 400-level course and one Political Science (same as EALC 402) 3 MACS 466 Japanese Cinema (same as EALC 466) 3 EALC 250 Introduction to Japanese
Lee, Tonghun
hours including one 300- or 400-level course and one Political Science/Economics course ANTH 488 Modern Realism to Expressionism 3 473 1920s to Today 3 493/494 German Cinema I/II (same as MACS 493/494) 3 496 in Musicology 3 PHIL 325 Recent European Philosophy 3 (H) Approved Political Science/Economics Courses: ACE 451
GPA CALCULATION GPA = QUALITY POINTS DIVIDED BY QUALITY HOURS
Lawrence, Rick L.
. THIS IS THE TOTAL QUALITY POINTS THAT YOU THINK YOU WILL EARN THIS SEMESTER. TO PLAY WHAT IFGPA CALCULATION WORKSHEET GPA = QUALITY POINTS DIVIDED BY QUALITY HOURS #1 QUALITY HOURS (THROUGH LAST TERM) = __________ #2 QUALITY POINTS (THROUGH LAST TERM) = __________ #3 QUALTIY HOURS CURRENTLY
Siegel, D.I.
1998-01-01T23:59:59.000Z
The large peat basins of North America are an important reservoir in the global carbon cycle and a significant source of atmospheric methane. The authors investigated carbon cycling in the Glacial Lake Agassiz peatlands (GLAP) of Minnesota. Initially in 1990, they identified a dramatic change in the concentration of methane in the pore-waters of the raised bogs in the GLAP during an extreme drought. This methane dissipated when the drought broke in 1991 and the occurrence of deep methane is related to changes in the direction of groundwater flow in the peat column. The production of methane and its diffusive loss to the atmosphere was modeled and was about 10 times less than that measured directly in chambers at the land surface. It is clear from the reversals in hydraulic heat, changes in pore-water chemical composition over time, and paleostratigraphic markers, that regional ground water flow systems that are controlled by climate change are unexpectedly a major control over methanogenesis and carbon cycling in GLAP. Seismic profiles made showed that buried bedrock ridges particularly deflect regional groundwater flow upwards towards the land surface and towards raised bog landforms. In addition, high-resolution GPS measurements from data stations funded by this DOE project have shown this year that the peakland land surface elevation changes daily on a scale of cms, and seasonally on a scale of 10s of cm. This most recent observation is exciting because it may reflect episodic degassing of free phase methane from the peat column to the atmosphere, a source for methane previously unaccounted for by methane researchers.
Smith, Brian (1126 Delaware St., Berkeley, CA 94702); Menchaca, Leticia (1126 Delaware St., Berkeley, CA 94702)
1999-01-01T23:59:59.000Z
A method for determination of .sup.18 O/.sup.16 O and .sup.2 H/.sup.1 H ratios and .sup.3 H concentrations of xylem and subsurface waters using time series sampling, insulating sampling chambers, and combined .sup.18 O/.sup.16 O, .sup.2 H/.sup.1 H and .sup.3 H concentration data on transpired water. The method involves collecting water samples transpired from living plants and correcting the measured isotopic compositions of oxygen (.sup.18 O/.sup.16 O) and hydrogen (.sup.2 H/.sup.1 H and/or .sup.3 H concentrations) to account for evaporative isotopic fractionation in the leafy material of the plant.
Subramanian, Venkat
EMPLOYEE RIGHTSUNDER THE FAIR LABOR STANDARDS ACT THE UNITED STATES DEPARTMENT OF LABOR WAGE AND HOUR DIVISION FEDERAL MINIMUM WAGE At least 1 times your regular rate of pay for all hours worked over be assessed for each child labor violation that causes the death or serious injury of any minor employee
Catholic University of Chile (Universidad Católica de Chile)
pioneered the Clean Air Act (CAA) in 1963 which established a criteria pollutants list considered dangerous and the Netherlands are among the most advanced countries in relation to environmental pollution control. USA in 1970 to set the uniform national standards for air quality, to create the Environmental Protection
Managerial Finance Vinay Datar Office Hours
Carter, John
will learn basic tools and techniques used in financial analysis and decision making. The concepts of risk and Jaffe, McGraw Hill 9th ed. Required tool for Financial Calculations: We will use Excel spreadsheet analysis and time value of money will be developed and applied to the capital budgeting process. I
Managerial Finance Vinay Datar Office Hours
Carter, John
course. We will learn basic tools and techniques used in financial analysis and decision making. The concepts of risk analysis and time value of money will be developed and applied to the capital budgeting Finance by Ross, Westerfield and Jaffe, McGraw Hill 9th ed. Required tool for Financial Calculations: We
Fourier series notes and examples
2014-10-14T23:59:59.000Z
The Fourier series are useful for describing periodic phenomena. The advantage that the Fourier series has over Taylor series is that the function itself does not ...
COMPOSITIONAL TIME SERIES ANALYSIS OF MORTALITY PROPORTIONS
Ravishanker, Nalini
models based on the Dirichlet distribution for modeling within the simplex. In this article, we describe to inaccurate estimation and prediction. In this article, a regression model with vector autoregressive moving lies on a simplex induced by the unit sum constraint. In general, a composition x of G parts is a G
From time series to superstatistics Christian Beck
Texas at Austin. University of
, a changing mass parameter, a changing amplitude of Gaussian white noise, the fluctuating energy dissipation 18 , solar flares 19 , random networks 20,21 , and mathematical finance 22,23 . In this paper we address a problem that is of great interest in experimental applications. Given an experimentally mea
Shiqing Ling Time-Series Econometric Theory
Ling, Shiqing
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 2.4 GARCH Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 3.3 GARCH(1, 1) Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63 5.3 LAN of FARIMA-GARCH Models . . . . . . . . . . . . . . . . . . . . . . . . . . . 67 5
Learning connections in financial time series
Gartheeban, Ganeshapillai
2014-01-01T23:59:59.000Z
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 ...
Bootstrap Prediction Intervals for Time Series /
Pan, Li
2013-01-01T23:59:59.000Z
Local Bootstrap . . . . . . . . . . . . . . . . . . . . .1.6 Generalized Bootstrap predictionSieve/PRR Bootstrap . . . . . . . . . . . . . . . . . . .
Bayesian time series models and scalable inference
Johnson, Matthew James, Ph. D. Massachusetts Institute of Technology
2014-01-01T23:59:59.000Z
With large and growing datasets and complex models, there is an increasing need for scalable Bayesian inference. We describe two lines of work to address this need. In the first part, we develop new algorithms for inference ...
ADVANCED SPECTRAL METHODS FOR CLIMATIC TIME SERIES
Ide, Kayo
of Atmospheric Sciences and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, California, USA. 2 Also at De´partement Terre-Atmosphe`re-Oce´an and Labo- ratoire de Me´te´orologie Dynamique, Ecole Normale Su- pe´rieure, Paris, France. 3 Space Science and Technology Department, Rutherford
Time Series Evaluation of Portal Monitor Data
Robinson, Sean M.; Bender, Sarah E.; Lopresti, Charles A.; Woodring, Mitchell L.
2008-12-08T23:59:59.000Z
Radiation portal monitors screen cargo and personal vehicle traffic at international border crossings to detect and interdict illicit sources which may be present in the commerce stream. One difficulty faced by RPM systems is the prospect of false alarms, or undesired alarms due to background fluctuation, or Naturally-Occurring Radioactive Material (NORM) sources in the commerce stream. In general, NORM alarms represent a significant fraction of the nuisance alarms at international border crossings, particularly with Polyvinyl-Toluene (PVT) RPM detectors, which have only very weak spectral differentiation capability. With PVT detectors, the majority of detected photon events fall within the Compton continuum of the material, allowing for very little spectral information to be preserved [1]. Previous work has shown that these detectors can be used for limited spectroscopy, utilizing around 8 spectral bins to further differentiate some NORM and other nuisance sources [2]. NaI based systems achieve much more detailed spectral resolution from each measurement of a source, but still combine all measurements over a vehicle's occupancy in order to arrive at a spectrum to be analyzed.
Bootstrap Prediction Intervals for Time Series /
Pan, Li
2013-01-01T23:59:59.000Z
1.5 Joint Prediction intervals . . . . . . . . . . . . .1.6 Generalized Bootstrap prediction1.8.1 Bootstrap Prediction Intervals Based on Studentized
Overview of the Radiant Time Series Method
as basis for CLTDs and CLFs 1980 Â ASHRAE publishes Cooling and Heating Load Calculation Manual by Rudoy) 1992 Â ASHRAE publishes 2nd Edition of Cooling and Heating Load Calculation Manual by Mc publishes Cooling and Heating Load Calculation Principles with HBM and RTSM 2001 Â HBM and RTSM
Delayed Start or Cancellation of Business Hours | Argonne National...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
is delayed The laboratory may delay the start of regular business hours because of weather conditions. Personnel who have been explicitly designated as essential by their line...
Series Transmission Line Transformer
Buckles, Robert A. (Livermore, CA); Booth, Rex (Livermore, CA); Yen, Boris T. (El Cerrito, CA)
2004-06-29T23:59:59.000Z
A series transmission line transformer is set forth which includes two or more of impedance matched sets of at least two transmissions lines such as shielded cables, connected in parallel at one end ans series at the other in a cascading fashion. The cables are wound about a magnetic core. The series transmission line transformer (STLT) which can provide for higher impedance ratios and bandwidths, which is scalable, and which is of simpler design and construction.
HUMAN RESOURCES MANUAL SECTION 4: NON-STUDENT HOURLY EMPLOYEES
HUMAN RESOURCES MANUAL SECTION 4: NON-STUDENT HOURLY EMPLOYEES 1 | P a g e S e c t i o n 4 will be notified by the Human Resources Department as non-student hourly employees approach their employment limits is submitted to the Human Resources Department by March and October for each school term of each year
Did you know? are thrown away every hour.
Awtar, Shorya
17Trees 6weeks Plastic beverage bottles OR Every month,we throw out enough glass bottles and jars,but not many people realize it. Run a TV for three hours. A 100-watt light bulb for four hours. Used plastic soda & juice bottles are used to make: carpets insulating materi- als in clothes sleeping bags
Numerical simulation of hourly temperatures at Webb Air Force Base, Texas
Hansen, James Edward
1975-01-01T23:59:59.000Z
, with time of year, of the autocorrelation coefficient, and a first-order kharkov chain. Fourier (harmonic) analysis was used extensively in the development of the model and the reverse adjusted normal transformation was used to transform a normal... for by the 1st, 365th, 730th, and 1095th barmonics, 17 Vai~ es of the parameters used to generate the mean hourly temperature. Percent of the variance of the standard devia- tion of hourly temperature, accounted for by the 1st and 36th harmonics. 24...
Chang, S -W; Hartman, J D
2015-01-01T23:59:59.000Z
We introduce new methods for robust high-precision photometry from well-sampled images of a non-crowded field with a strongly varying point-spread function. For this work, we used archival imaging data of the open cluster M37 taken by MMT 6.5m telescope. We find that the archival light curves from the original image subtraction procedure exhibit many unusual outliers, and more than 20% of data get rejected by the simple filtering algorithm adopted by early analysis. In order to achieve better photometric precisions and also to utilize all available data, the entire imaging database was re-analyzed with our time-series photometry technique (Multi-aperture Indexing Photometry) and a set of sophisticated calibration procedures. The merit of this approach is as follows: we find an optimal aperture for each star with a maximum signal-to-noise ratio, and also treat peculiar situations where photometry returns misleading information with more optimal photometric index. We also adopt photometric de-trending based on ...
: 128 ** Meets philosophy and ethics general education requirement. Electrical engineering majors mustGeneral Education and Major Coursework: Credit Hours General Education and Major Coursework: Credit (C or better required) 3 PHYS 231N 4 COMM 101R 3 General Education and Major Coursework: Credit Hours
BIODEGRADATION AND BIOREMEDIATION 3 credit hour (Web based only)
Ma, Lena
SWS 6366 BIODEGRADATION AND BIOREMEDIATION 3 credit hour (Web based only) COURSE DESCRIPTION of bioremediation of contaminated soils and water. INSTRUCTORS: Dr. Kanika Sharma Inglett, Department of Soil & Biodegradation Potential Topic 5. Predicting Biodegradation Products Topic 6. Bioremediation of organic
Balancing Authority Cooperation Concepts - Intra-Hour Scheduling
Hunsaker, Matthew; Samaan, Nader; Milligan, Michael; Guo, Tao; Liu, Guangjuan; Toolson, Jacob
2013-03-29T23:59:59.000Z
The overall objective of this study was to understand, on an Interconnection-wide basis, the effects intra-hour scheduling compared to hourly scheduling. Moreover, the study sought to understand how the benefits of intra-hour scheduling would change by altering the input assumptions in different scenarios. This report describes results of three separate scenarios with differing key assumptions and comparing the production costs between hourly scheduling and 10-minute scheduling performance. The different scenarios were chosen to provide insight into how the estimated benefits might change by altering input assumptions. Several key assumptions were different in the three scenarios, however most assumptions were similar and/or unchanged among the scenarios.
Department of Energy's Paducah Site Reaches Million-Hour Safety...
Office of Environmental Management (EM)
a core value" attitude. "Our team adheres to the concept that we will only achieve productivity through safety," LATA Kentucky Project Manager Mark Duff said. "The million-hour...
Fourier series and periodicity
Donal F. Connon
2014-12-07T23:59:59.000Z
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.
Introduction to Fourier Series
2014-10-15T23:59:59.000Z
Oct 15, 2014 ... The Basics. Fourier series. Examples. Even and odd functions. Definition. A function f(x) is said to be even if f(-x) = f(x). The function f(x) is said ...
Mark W. Coffey
2008-12-09T23:59:59.000Z
We evaluate binomial series with harmonic number coefficients, providing recursion relations, integral representations, and several examples. The results are of interest to analytic number theory, the analysis of algorithms, and calculations of theoretical physics, as well as other applications.
Coursework: Credit Hours MET 300 3 MET 330 3 MET 310 3 MET 335W 1 MET 320 3 MET 350 3 EET 305 3 MET 370 (co-requisite with MET 386) 3 EET 350 3 MET 386 (co-requisite with MET 370) 1 EET 355 1 ENMA 480 3 Minor**** 3 General (15 credits) TOTAL CREDIT HOURS: 127 Does not include the University's General Education Language
Borenstein, Elhanan
Self-Service (ESS). It can be accessed from any computer with an internet connection and is available record is set up, the next time the employee logs in to Employee Self-Service (ESS), they will see for final processing. Employee Actions: Entering Time on UW Timesheet Â· Log into Employee Self-Service (ESS
Plotkin, Joshua B.
.linkedin.com/in/ceceilia about 20 hours ago via web Love the online Profile that ShannonKelly did in PennCareerServices @PennCareerDay http://ulife.vpul.upenn.edu/careerservices/blog/?cat=92 about 20 hours ago via web Looong drive out starting point. about 20 hours ago via web Time to go out and have fun but will continue to tweet
Lennard, William N.
Accident/Incident Reporting Form & Investigation Report FAX COMPLETED FORM (Within 24 hours) TO Â Accident/Incident Reporting Form PART A Name of Employee: ______________________________________ Employee: Report Only Accident Incident No Injury/Hazard First Aid Lost Time Non-Lost Time (If Report Only
Time Series Models for Measuring Market Risk Time Series Models for Measuring Market Risk
Hernández Lobato, José Miguel
and collaborative mixtures of experts 3 GARCH processes with non-parametric innovations 4 Conclusions and future Competitive and collaborative mixtures of experts 3 GARCH processes with non-parametric innovations 4 Volatility models: GARCH processes We say {rt}T t=1 follows a GARCH(1,1) process if: rt = tt (4) 2 t = + |rt
An Improved Procedure for Developing Calibrated Hourly Simulation Models
Bou-Saada, T. E.; Haberl, J. S.
in Washington, D.C. Nine months of hourly whole-building electricity data and site-specific weather data were measured and used with the DOE- 2. ID building simulation program to test the new techniques. Use of the new calibration procedures were able to produce... study building was simulated with DOE-2.ID and calibrated using hourly measured whole-building electricity data and ambient weather conditions to demonstrate the new techniques. Findings from Applying the New Techniques The important new calibration...
IBM Lecture Series on Service Quality May 19, 2010
Glushko, Robert J.
IBM Lecture Series on Service Quality May 19, 2010 Two New Perspectives for Service System Design at design time or run time, whether it is coarse-grained or fine-grained, and whether it is partial or total
Agilent Infiniium 90000 Series
Anlage, Steven
s1 Agilent Infiniium 90000 Series Oscilloscopes Programmer's Reference #12;Notices © Agilent laws. Manual Part Number Version 04.50.0000 Edition May 28, 2013 Available in electronic format only), as applicable in any technical data. Safety Notices CAUTION A CAUTION notice denotes a haz- ard. It calls
Klein, Ophir
Bay Area Global Health Seminar Series Monday, January 27, 2014 2:30pm 4:00pm (Reception to follow at the Center for Health Policy and the Woods Institute for the Environment. He studies how economic, political, and natural environments affect population health in developing countries using a mix of experimental
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
7000 Series MODIFIED MICROLITERTM
Kleinfeld, David
. This syringe series is unique, as the sample is held in the stainless steel needle. The tungsten plunger wire resistance to plunger movement is felt. Use of pliers on the knurled hub nut may be required to achieve this tightness. The black PTFE-coated plunger sleeve makes it easy to read the exact volume. Two sizes of spacers
Energy Management Webinar Series
Broader source: Energy.gov [DOE]
Boost your knowledge on how to implement an energy management system through this four-part webinar series from the Superior Energy Performance program. Each webinar introduces various elements of the ISO 50001 energy management standard—based on the Plan-Do-Check-Act approach—and the associated steps of DOE's eGuide for ISO 50001 software tool.
2009-2010 Communication Studies Curriculum Hours PREREQUISITES
Grissino-Mayer, Henri D.
2009-2010 Communication Studies Curriculum Hours PREREQUISITES First Year Communication and Information 150 3 ___ Communication Studies 201 3 ___ Communication and Information 150 English 101, 102 6 Arts and Humanities Elective 3 ___ General Elective 1 ___ TOTAL 30 Second Year Communication Studies
2007-2008 Communication Studies Curriculum Year Hours PREREQUISITES
Grissino-Mayer, Henri D.
2007-2008 Communication Studies Curriculum Year Hours PREREQUISITES First Year Communication and Information 150 3 ___ Communication Studies 201 3 ___ Communication and Information 150 English 101, 102 6 Arts and Humanities Elective 3 ___ General Elective 1 ___ TOTAL 30 Second Year Communication Studies
2011-12 Communication Studies Curriculum Hours PREREQUISITES
Grissino-Mayer, Henri D.
2011-12 Communication Studies Curriculum Hours PREREQUISITES First Year English 101, 102 6 ___ ___ TOTAL 30 Second Year Communication Studies 201 3 ___ 5 Communication Studies 210, 240, 250 6 Year Communication Studies 312 3 ___ Communication Studies 201 Communication Studies 342 3
2008-2009 Communication Studies Curriculum Hours PREREQUISITES
Grissino-Mayer, Henri D.
2008-2009 Communication Studies Curriculum Hours PREREQUISITES First Year Communication and Information 150 3 ___ Communication Studies 201 3 ___ Communication and Information 150 English 101, 102 6 Arts and Humanities Elective 3 ___ General Elective 1 ___ TOTAL 30 Second Year Communication Studies
2010-11 Communication Studies Curriculum Hours PREREQUISITES
Grissino-Mayer, Henri D.
2010-11 Communication Studies Curriculum Hours PREREQUISITES First Year English 101, 102 6 ___ ___ TOTAL 30 Second Year Communication Studies 201 3 ___ 5 Communication Studies 210, 240, 250 6 Year Communication Studies 312 3 ___ Communication Studies 201 Communication Studies 342 3
2012-13 Communication Studies Curriculum Hours PREREQUISITES
Grissino-Mayer, Henri D.
2012-13 Communication Studies Curriculum Hours PREREQUISITES First Year English 101*, 102* 6 ___ ___ TOTAL 30 Second Year Communication Studies 201 3 ___ 5 Communication Studies 210*, 240*, 250 6 Third Year Communication Studies 312 3 ___ Communication Studies 201 Communication Studies 342 3
ECE 3301: General Electrical Engineering Credit / Contact hours: 3 / 3
Gelfond, Michael
ECE 3301: General Electrical Engineering Credit / Contact hours: 3 / 3 Course coordinator: Mary Baker Textbook(s) and/or other required material: Hambley, Allan R., Electrical Engineering Principles and Applications, fourth edition, Prentice Hall, 2007. Catalog description: Analysis of electric circuits
Truman Leadership Scholars Program Credit Hour Modification Rationale
Gering, Jon C.
Truman Leadership Scholars Program Credit Hour Modification Rationale Doug Davenport The Truman Leadership Scholars Program (TLSP) has undergone significant changes over the past year. A key element 220 are now designed to introduce students to key leadership concepts and theories, using a basic
Renewable Energies program (6 credit hour) Option A: 11
Simaan, Nabil
Renewable Energies program (6 credit hour) Option A: 11 Option B: The program is organized by t Spanish Institute and the Asso program on renewable energy will provide students with advanced knowledge. opportunities: option A- two renewable energies; option B include on-site visits to renewable energy generation
BIODEGRADATION AND BIOREMEDIATION 3 credit hour (Web based only)
Ma, Lena
SWS 6366 BIODEGRADATION AND BIOREMEDIATION 3 credit hour (Web based only) COURSE DESCRIPTION of bioremediation of contaminated soils and water. INSTRUCTORS: Dr. Kanika Sharma Inglett, Department of Soil Biodegradation Products Topic 6. Bioremediation of organic and inorganic pollutants Topic 7. Remediation
Navy Estimated Average Hourly Load Profile by Month (in MW)
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Navy Estimated Average Hourly Load Profile by Month (in MW) MONTH HE1 HE2 HE3 HE4 HE5 HE6 HE7 HE8 HE9 HE10 HE11 HE12 HE13 HE14 HE15 HE16 HE17 HE18 HE19 HE20 HE21 HE22 HE23 HE24...
SWAIN LIBRARY -INTERSESSION AND WINTER CLOSURE HOURS DECEMBER 14TH
Straight, Aaron
Green Library will be open December 22-23, 26, 29-31, and January 2, 8 a.m.-5 p.m. with limited servicesSWAIN LIBRARY - INTERSESSION AND WINTER CLOSURE HOURS DECEMBER 14TH , 2008 JANUARY 5TH , 2009. Branch Libraries that are open, circulation desks will be open for borrowing only. All other services
Bias adjustment of radar-based 3-hour precipitation accumulations
Stoffelen, Ad
projection of KNMI radar images 55 4 #12;Chapter 1 Introduction Since June 2003 a daily gauge is generated at 1400 UTC when the majority of the manual gauge observations have been reported. The radar-gaugeBias adjustment of radar-based 3-hour precipitation accumulations Iwan Holleman Technical Report
Monday 16 June 09:30 Macroeconomics. 14:30 Advanced Econometrics 1 (2 hours).
Oxford, University of
Monday 16 June 09:30 Macroeconomics. 14:30 Advanced Econometrics 1 (2 hours). Tuesday 17 June 09 2 (2 hours). 14:30 Advanced Econometrics 2 (2 hours). Friday 20 June 09:30 Advanced Microeconomics 1
Lee, Tonghun
semester hours including one 300- or 400-level course and one Political Science/Economics course BULG 482;POL 245 Survey of Polish Lit (same as CWL 245) 3 446 Problems of Polish Lit 3 RUSS 219 Russian Cinema & E European Science Fiction (same as CWL 117) 3 277 Slavic Literature Survey(same as CWL 277) 3 419
Henrik Stenlund
2012-04-24T23:59:59.000Z
This work introduces a new functional series for expanding an analytic function in terms of an arbitrary analytic function. It is generally applicable and straightforward to use. It is also suitable for approximating the behavior of a function with a few terms. A new expression is presented for the composite function's n'th derivative. The inverse-composite method is handled in this work also.
ARC Collaborative Research Seminar Series Winter 2009
Papalambros, Panos
and uncertainty. In this talk, recent developments of a design methodology considering the product lifecycle cost in a series-system fashion. The lifecycle cost includes the production cost, the inspection cost Recent Developments in Time-Dependent Reliability and Design for Lifecycle Cost Amandeep Singh, Zissimos
Incident Weekdays After Hours Suicide--Imminent threat or attempt
, 7th Floor, 333 E. Campus Mall Walk-In Counseling at UHS, 7th Floor Medical emergency (e.g. heart-265-5600 UHS Urgent Medical Advice by Phone 608-265- 5600, option 1, until 9:00pm Rape Crisis Center (RCC), 333) Domestic Abuse Intervention Services 24-Hour crisis hotline: 608-251-4445 UWPD: 608-264-COPS (2677
Energy Conservation3. Lab Spaces 8 hours ago
Espinosa, Horacio D.
Home1. Topics2. Energy Conservation3. Story4. Powered by Lab Spaces 8 hours ago 3-dimensional view://topics.treehugger.com/article/0cywbNJgWneQp?q=Energy+Conserv... 1 of 2 1/6/2012 9:05 PM #12;Related Quotes " The measurements were http://topics.treehugger.com/article/0cywbNJgWneQp?q=Energy+Conserv... 2 of 2 1/6/2012 9:05 PM #12;
Use of Time-Aggregated Data in Economic Screening Analyses of Combined Heat and Power Systems
Hudson II, Carl Randy [ORNL
2004-09-01T23:59:59.000Z
Combined heat and power (CHP) projects (also known as cogeneration projects) usually undergo a series of assessments and viability checks before any commitment is made. A screening analysis, with electrical and thermal loads characterized on an annual basis, may be performed initially to quickly determine the economic viability of the proposed project. Screening analyses using time-aggregated data do not reflect several critical cost influences, however. Seasonal and diurnal variations in electrical and thermal loads, as well as time-of-use utility pricing structures, can have a dramatic impact on the economics. A more accurate economic assessment requires additional detailed data on electrical and thermal demand (e.g., hourly load data), which may not be readily available for the specific facility under study. Recent developments in CHP evaluation tools, however, can generate the needed hourly data through the use of historical data libraries and building simulation. This article utilizes model-generated hourly load data for four potential CHP applications and compares the calculated cost savings of a CHP system when evaluated on a time-aggregated (i.e., annual) basis to the savings when evaluated on an hour-by-hour basis. It is observed that the simple, aggregated analysis forecasts much greater savings (i.e., greater economic viability) than the more detailed hourly analysis. The findings confirm that the simpler tool produces results with a much more optimistic outlook, which, if taken by itself, might lead to erroneous project decisions. The more rigorous approach, being more reflective of actual requirements and conditions, presents a more accurate economic comparison of the alternatives, which, in turn, leads to better decision risk management.
Resource characterization series (final)
Hower, J.C.; Wild, G.D.
1981-01-01T23:59:59.000Z
Coals from the Princess Reserve District in northeastern Kentucky were obtained from the R-series cores and from Kentucky Geological Survey collections. The coals span the stratigraphic section from the Bruin coal near the base of the Breathitt Formation to a coal near the top of the Conemaugh Formation. The Princess District coals are high volatile C and B bituminous. High volatile A bituminous coals occur in southern Lawrence County. Reflectance highs and reactive maceral lows were noted in the Princess 3 and Princess 7 coals in along a north-south trend which may be parallel to the Waverly Arch.
The U-series toolbox for paleoceanography Gideon M. Henderson
Henderson, Gideon
Uranium has a reasonably constant seawater concentration in both space and time, varying only in line-mail: boba@ldeo.columbia.edu Reviews in Mineralogy and Geochemistry "Uranium Series Geochemistry" Revised (Cochran and Masque, 2003). 2. U-series isotopes in the ocean environment 2.1 The ocean uranium budget
Hong, Tianzhen
2009-01-01T23:59:59.000Z
integrated heat balance calculations for loads, systems, andintegrated heat balance calculations for loads, systems, andloads calculation time steps per hour, the model solution algorithms (envelope heat
20140501-0531_Green Machine Florida Canyon Hourly Data
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Thibedeau, Joe
Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 May to 31 May 2014.
20140201-0228_Green Machine Florida Canyon Hourly Data
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Thibedeau, Joe
Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 Feb to 28 Feb 2014.
20131201-1231_Green Machine Florida Canyon Hourly Data
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Thibedeau, Joe
Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 Dec to 31 Dec 2013.
20140601-0630_Green Machine Florida Canyon Hourly Data
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Thibedeau, Joe
Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 June to 30 June 2014.
20131101-1130_Green Machine Florida Canyon Hourly Data
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Thibedeau, Joe
Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 Nov to 30 Nov 2013.
20130801-0831_Green Machine Florida Canyon Hourly Data
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Vanderhoff, Alex
Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 8/1/13 to 8/31/13.
20130501-20130531_Green Machine Florida Canyon Hourly Data
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Vanderhoff, Alex
Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from May 2013
20131001-1031_Green Machine Florida Canyon Hourly Data
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Thibedeau, Joe
Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 1 Oct 2013 to 31 Oct 2013.
20140701-0731_Green Machine Florida Canyon Hourly Data
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Thibedeau, Joe
Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 July to 31 July 2014.
20140301-0331_Green Machine Florida Canyon Hourly Data
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Thibedeau, Joe
Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 Mar to 31 Mar 2014.
20140101-0131_Green Machine Florida Canyon Hourly Data
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Thibedeau, Joe
Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 Jan to 31 Jan 2014.
20130901-0930_Green Machine Florida Canyon Hourly Data
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Thibedeau, Joe
Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 1 September 2013 to 30 September 2013.
20131101-1130_Green Machine Florida Canyon Hourly Data
Thibedeau, Joe
2013-12-02T23:59:59.000Z
Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 Nov to 30 Nov 2013.
20140501-0531_Green Machine Florida Canyon Hourly Data
Thibedeau, Joe
2014-06-02T23:59:59.000Z
Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 May to 31 May 2014.
20131001-1031_Green Machine Florida Canyon Hourly Data
Thibedeau, Joe
2013-11-05T23:59:59.000Z
Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 1 Oct 2013 to 31 Oct 2013.
20130901-0930_Green Machine Florida Canyon Hourly Data
Thibedeau, Joe
2013-10-25T23:59:59.000Z
Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 1 September 2013 to 30 September 2013.
20140101-0131_Green Machine Florida Canyon Hourly Data
Thibedeau, Joe
2014-02-03T23:59:59.000Z
Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 Jan to 31 Jan 2014.
20140701-0731_Green Machine Florida Canyon Hourly Data
Thibedeau, Joe
2014-07-31T23:59:59.000Z
Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 July to 31 July 2014.
20140601-0630_Green Machine Florida Canyon Hourly Data
Thibedeau, Joe
2014-06-30T23:59:59.000Z
Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 June to 30 June 2014.
20130501-20130531_Green Machine Florida Canyon Hourly Data
Vanderhoff, Alex
2013-06-18T23:59:59.000Z
Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from May 2013
20131201-1231_Green Machine Florida Canyon Hourly Data
Thibedeau, Joe
2014-01-08T23:59:59.000Z
Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 Dec to 31 Dec 2013.
20140201-0228_Green Machine Florida Canyon Hourly Data
Thibedeau, Joe
2014-03-03T23:59:59.000Z
Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 Feb to 28 Feb 2014.
20130801-0831_Green Machine Florida Canyon Hourly Data
Vanderhoff, Alex
2013-09-10T23:59:59.000Z
Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 8/1/13 to 8/31/13.
20140301-0331_Green Machine Florida Canyon Hourly Data
Thibedeau, Joe
2014-04-07T23:59:59.000Z
Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant with output capacity expected in the 30-70kWe range. The Green Machine is an Organic Rankine Cycle power plant. The Florida Canyon machine is powered by geothermal brine with air cooled condensing. The data provided is an hourly summary from 01 Mar to 31 Mar 2014.
Amp-hour counting control for PV hybrid power systems
Hund, T.D. [Sandia National Labs., Albuquerque, NM (United States); Thompson, B. [Biri Systems, Ithaca, NY (United States)
1997-06-01T23:59:59.000Z
The performance of an amp-hour (Ah) counting battery charge control algorithm has been defined and tested using the Digital Solar Technologies MPR-9400 microprocessor based PV hybrid charge controller. This work included extensive field testing of the charge algorithm on flooded lead-antimony and valve regulated lead-acid (VRLA) batteries. The test results after one-year have demonstrated that PV charge utilization, battery charge control, and battery state of charge (SOC) has been significantly improved by providing maximum charge to the batteries while limiting battery overcharge to manufacturers specifications during variable solar resource and load periods.
Midlatitude nighttime D region ionosphere variability on hourly to monthly time scales
Cummer, Steven A.
for lightninginduced electron precipitation), or geomagnetic activities. These measurements suggest that nighttime D through measuring the electrical currents to an electrode at a fixed potential [Smith, 1969]. Although. We probed the ionospheric D region by measuring the highpower broadband very low frequency (VLF
22 HOURS AGO PAT SCHNEIDER | THE CAPITAL TIMES | PSCHNEIDER@MADISON.COM
Wisconsin at Madison, University of
research and development to Asian nations, said director Joseph Bisognano, a professor of engineering of global research and development than the United States does, according to the report from the board.madison.com/news/local/writers/pat_schneider/uw-synchrotro... 1 of 2 2/19/2014 8:18 AM #12;development, spending about $429 billion a year, compared to $208
Moab Project Logs 2 Million Work Hours Without Lost-Time Injury...
Office of Environmental Management (EM)
number 1,584 may not mean much to most people, but for the workers on EM's Moab Uranium Mill Tailings Remedial Action Project, it represents the number of days without a...
DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading
Office of Environmental Management (EM)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613PortsmouthBartlesvilleAbout Â» ContactDepartment ofaProjects |Laboratory | Department
Moab Project Logs 2 Million Work Hours Without Lost-Time Injury or Illness
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 Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO2:Introduction toManagement of the National 93-4EnergyMissionIllness | Department of|
DOE's Office of Science Awards 18 Million Hours of Supercomputing Time to
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
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 Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: Theof"WaveInteractionsMaterialsDevelopEnergy Oak Ridge Office andto15
DOE's Office of Science Awards 95 Million Hours of Supercomputing Time to
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
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 Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: Theof"WaveInteractionsMaterialsDevelopEnergy Oak Ridge Office
Y-12 Construction hits one million-hour mark without a lost-time accident |
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengtheningWildfires may contribute moredetection scoreAlex VolosinNuclearY-12
Workers at Paducah Site Exceed 1.5 Million Hours Without Lost-Time Injury,
Broader source: Energy.gov (indexed) [DOE]
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015ofDepartment of EnergyThePatricia Hoffman isThe Metals Plant is
SF 6432-TM Standard Terms and Conditions for Time and Materials Labor Hour Contracts
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand Requirements RecentlyElectronicResourcesjobs RunningSEAB ReportsFESF/2015) SectionTM
SF 6432-TM Standard Terms and Conditions for Time and Materials Labor Hour Contracts
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand Requirements RecentlyElectronicResourcesjobs RunningSEAB ReportsFESF/2015)
DOE's Office of Science Awards 18 Million Hours of Supercomputing Time to
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 Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO OverviewAttachments4 ChairsEnergyawards contract for15 Teams for Large-Scale Scientific
Earth Hour 2009: March 28, 8:30-9:30 PM Local Time | Department of Energy
Broader source: Energy.gov (indexed) [DOE]
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy Chinaof EnergyImpactOn July 2, 2014 in theGroup Report |ofM A N A G E M EMichael
WIPP Workers Reach Two Million Man-Hours Without a Lost-Time Accident
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps1DOE Awards Contract for19, 20142,pril 2Workers
DOE's Office of Science Awards 95 Million Hours of Supercomputing Time to
Broader source: Energy.gov (indexed) [DOE]
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015 Business42.1 DEPARTMENT OFEnergyDepartment of Energy DOEto DevelopAdvance
Simulating Hamiltonian Dynamics with a Truncated Taylor Series
Berry, Dominic W.
We describe a simple, efficient method for simulating Hamiltonian dynamics on a quantum computer by approximating the truncated Taylor series of the evolution operator. Our method can simulate the time evolution of a wide ...
Hayes, Jane E.
engineering. Fundamental principles related to the transformation of matter and energy are developed in subjects including thermodynamics, fluid flow, separations, heat and mass transfer, reactor design Semester Hours CME 200 Process Principles
MacAdam, Keith
engineering. Fundamental principles related to the transformation of matter and energy are developed in subjects including thermodynamics, fluid flow, separa- tions, heat and mass transfer, reactor design Sophomore Year First Semester Hours CME 200 Process Principles
Hayes, Jane E.
, and physics is required for the study of chemical engineering. Fundamental principles related, heat and mass transfer, reactor design, and chemical process design. Undergraduate electives are avail Semester Hours CME 200 Process Principles
Hayes, Jane E.
engineering. Fundamental principles related to the transformation of matter and energy are developed in subjects including thermodynamics, fluid flow, separations, heat and mass transfer, reactor design Semester Hours CME 200 Process Principles
Operating Innovative Networks Workshop Series
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Workshop Series Enlighten Your Research Global Program Science Requirements Reviews Case Studies Contact Us Technical Assistance: 1 800-33-ESnet (Inside US) 1 800-333-7638...
RINGS OF SEPARATED POWER SERIES
power series rings Sm;n (Section 4) and (ii) to develop the ingredients of sheaf. theory for ... systems of modules behave under ground eld extension. Here we ...
Seventy-five hours of coordinated videomagnetograph observations
Wang, Haiman; Zirin, H.; Patterson, A.; Al, Guoxiang; Zhang, Hongqi (Big Bear Solar Observatory, Pasadena, CA (USA); Beijing Observatory (People's Republic of China))
1989-08-01T23:59:59.000Z
Videomagnetograph observations obtained between September 24 and 29, 1987 are presented which illustrate the evolution of magnetic flux surrounding a stable sunspot. It is found that the dominant sunspot mainly ejects magnetic fields of opposite sign, and that the surrounding plage fields steadily contract and retreat inward toward the umbra, resulting in shrinking and weakening of the spot and plage. The extent of the moat is shown to be reduced by 50 percent in a 75-hour period, with the principal loss of flux probably due to concellation at the main neutral line. Five subflares were noted, three occurring prior to cancellation of the magnetic elements at the inversion line and two occurring during the development and disappearance of an ephemeral bipolar region. 25 refs.
2500-Hour High Temperature Solid-Oxide Electrolyzer Long Duration Test
C. M. Stoots; J. E. O'Brien; K. G. Condie; L. Moore-McAteer; J. J. Hartvigsen; D. Larsen
2009-11-01T23:59:59.000Z
The Idaho National Laboratory (INL) has been developing the concept of using solid oxide fuel cells as electrolyzers for large-scale, high-temperature (efficient), hydrogen production. This program is sponsored by the U.S. Department of Energy under the Nuclear Hydrogen Initiative. Utilizing a fuel cell as an electrolyzer introduces some inherent differences in cell operating conditions. In particular, the performance of fuel cells operated as electrolyzers degrades with time faster. This issue of electrolyzer cell and stack performance degradation over time has been identified as a major barrier to technology development. Consequently, the INL has been working together with Ceramatec, Inc. (Salt Lake City, Utah) to improve the long-term performance of high temperature electrolyzers. As part of this research partnership, the INL conducted a 2500 hour test of a Ceramatec designed and produced stack operated in the electrolysis mode. This report will provide a summary of experimental results for this long duration test.
High Temperature Solid-Oxide Electrolyzer 2500 Hour Test Results At The Idaho National Laboratory
Carl Stoots; James O'Brien; Stephen Herring; Keith Condie; Lisa Moore-McAteer; Joseph J. Hartvigsen; Dennis Larsen
2009-11-01T23:59:59.000Z
The Idaho National Laboratory (INL) has been developing the concept of using solid oxide fuel cells as electrolyzers for large-scale, high-temperature (efficient), hydrogen production. This program is sponsored by the U.S. Department of Energy under the Nuclear Hydrogen Initiative. Utilizing a fuel cell as an electrolyzer introduces some inherent differences in cell operating conditions. In particular, the performance of fuel cells operated as electrolyzers degrades with time faster. This issue of electrolyzer cell and stack performance degradation over time has been identified as a major barrier to technology development. Consequently, the INL has been working together with Ceramatec, Inc. (Salt Lake City, Utah) to improve the long-term performance of high temperature electrolyzers. As part of this research partnership, the INL conducted a 2500 hour test of a Ceramatec designed and produced stack operated in the electrolysis mode. This paper will provide a summary of experimental results to date for this ongoing test.
Marcellus Shale Educational Webinar Series
Boyer, Elizabeth W.
#12;Marcellus Shale Litigation and Legislation December 17, 2009 7 . Pennsylvania Oil and Gas Law1 Marcellus Shale Educational Webinar Series October 2009 - March 2010 Penn State Cooperative Extension #12;2 Marcellus Shale Webinar Series Planning Committee Â· Members Â Mark Douglass, Jefferson
Hacking Away at Soft Costs: 24-Hour Coding Event Focuses on Expanding...
Office of Environmental Management (EM)
Hacking Away at Soft Costs: 24-Hour Coding Event Focuses on Expanding Solar Market Hacking Away at Soft Costs: 24-Hour Coding Event Focuses on Expanding Solar Market May 7, 2014 -...
Road traffic accidents in Kathmandu¿an hour of education yields a glimmer of hope
Basnet, Bibhusan; Vohra, Rais; Bhandari, Amit; Pandey, Subash
2013-01-01T23:59:59.000Z
et al. : Road traffic accidents in Kathmandu— an hour ofOpen Access Road traffic accidents in Kathmandu—an hour ofnumber of road traffic accidents in the year 2012 decreased
A Model to Predict Work-Related Fatigue Based on Hours of Work
A Model to Predict Work-Related Fatigue Based on Hours of Work Gregory D. Roach, Adam Fletcher, and Drew Dawson ROACH GD, FLETCHER A, DAWSON D. A model to predict work- related fatigue based on hours
Broader source: Energy.gov [DOE]
Portfolio Manager "Office Hours" is a live webinar that gives all users an opportunity to ask their questions directly to EPA in an open forum. In 2014, Office Hours will be held once a month. We...
EPA ENERGY STAR Webcast- Portfolio Manager Office Hours, Focus Topic: Weather Data and Metrics
Broader source: Energy.gov [DOE]
Portfolio Manager "Office Hours" is a live webinar that gives all users an opportunity to ask their questions directly to EPA in an open forum. In 2014, Office Hours will be held once a month. We...
after-hours care instructions: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Websites Summary: HC:816 (214) After Hours Care Info Sheet Closest ER After Hours Care Note: for students with Student Health Insurance Plan (UC SHIP) Co-pays apply: 50...
Customer Strategies for Responding to Day-Ahead Market HourlyElectricity Pricing
Goldman, Chuck; Hopper, Nicole; Bharvirkar, Ranjit; Neenan,Bernie; Boisvert, Dick; Cappers, Peter; Pratt, Donna; Butkins, Kim
2005-08-25T23:59:59.000Z
Real-time pricing (RTP) has been advocated as an economically efficient means to send price signals to customers to promote demand response (DR) (Borenstein 2002, Borenstein 2005, Ruff 2002). However, limited information exists that can be used to judge how effectively RTP actually induces DR, particularly in the context of restructured electricity markets. This report describes the second phase of a study of how large, non-residential customers' adapted to default-service day-ahead hourly pricing. The customers are located in upstate New York and served under Niagara Mohawk, A National Grid Company (NMPC)'s SC-3A rate class. The SC-3A tariff is a type of RTP that provides firm, day-ahead notice of hourly varying prices indexed to New York Independent System Operator (NYISO) day-ahead market prices. The study was funded by the California Energy Commission (CEC)'s PIER program through the Demand Response Research Center (DRRC). NMPC's is the first and longest-running default-service RTP tariff implemented in the context of retail competition. The mix of NMPC's large customers exposed to day-ahead hourly prices is roughly 30% industrial, 25% commercial and 45% institutional. They have faced periods of high prices during the study period (2000-2004), thereby providing an opportunity to assess their response to volatile hourly prices. The nature of the SC-3A default service attracted competitive retailers offering a wide array of pricing and hedging options, and customers could also participate in demand response programs implemented by NYISO. The first phase of this study examined SC-3A customers' satisfaction, hedging choices and price response through in-depth customer market research and a Constant Elasticity of Substitution (CES) demand model (Goldman et al. 2004). This second phase was undertaken to answer questions that remained unresolved and to quantify price response to a higher level of granularity. We accomplished these objectives with a second customer survey and interview effort, which resulted in a higher, 76% response rate, and the adoption of the more flexible Generalized Leontief (GL) demand model, which allows us to analyze customer response under a range of conditions (e.g. at different nominal prices) and to determine the distribution of individual customers' response.
NV Energy Large-Scale Photovoltaic Integration Study: Intra-Hour Dispatch and AGC Simulation
Lu, Shuai; Etingov, Pavel V.; Meng, Da; Guo, Xinxin; Jin, Chunlian; Samaan, Nader A.
2013-01-02T23:59:59.000Z
The uncertainty and variability with photovoltaic (PV) generation make it very challenging to balance power system generation and load, especially under high penetration cases. Higher reserve requirements and more cycling of conventional generators are generally anticipated for large-scale PV integration. However, whether the existing generation fleet is flexible enough to handle the variations and how well the system can maintain its control performance are difficult to predict. The goal of this project is to develop a software program that can perform intra-hour dispatch and automatic generation control (AGC) simulation, by which the balancing operations of a system can be simulated to answer the questions posed above. The simulator, named Electric System Intra-Hour Operation Simulator (ESIOS), uses the NV Energy southern system as a study case, and models the system’s generator configurations, AGC functions, and operator actions to balance system generation and load. Actual dispatch of AGC generators and control performance under various PV penetration levels can be predicted by running ESIOS. With data about the load, generation, and generator characteristics, ESIOS can perform similar simulations and assess variable generation integration impacts for other systems as well. This report describes the design of the simulator and presents the study results showing the PV impacts on NV Energy real-time operations.
SWANSEA UNIVERSITY REPORT SERIES
Grant, P. W.
in Fragments of Bounded Arithmetic by Arnold Beckmann and Samuel R. Buss Report # CSR 15-2008 #12;Polynomial.beckmann@swansea.ac.uk Samuel R. Buss Department of Mathematics University of California, San Diego La Jolla, CA 92093-0112, USA by polynomial time algorithms that make O(log n) witness queries to a p k-1 -oracle. Buss and Kraj´icek [8
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
Intra-Hour Dispatch and Automatic Generator Control Demonstration...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
a prediction of the generation fleet's behavior in real time for realistic photovoltaic penetration scenarios. APPROACH The primary objectives of this effort are: 1) to...
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
Performance of Blackglas{trademark} composites in 4000-hour oxidation study
Campbell, S.; Gonczy, S. [AlliedSignal Inc., Des Plaines, IL (United States); McNallan, M.; Cox, A. [Univ. of Illinois, Chicago, IL (United States)
1996-12-31T23:59:59.000Z
The effect of long term (4000 hour) oxidation on the mechanical properties of Blackglas{trademark}-Nitrided Nextel{trademark}312 Ceramic Matrix Composites in the temperature range of 500{degrees} - 700{degrees}C was investigated. Flexure specimens of the title composites prepared using three different pyrolysis processes were subjected to oxidation in flowing dry air at 500{degrees}, 600{degrees}C, and 700{degrees}C. Samples were removed at several different time intervals for 3-point flexure analysis. Results indicate that processing conditions had very little effect on the oxidation resistance of this system. At 600{degrees} and 700{degrees}C the mechanical properties degrade continuously to a steady value about half the original flexure strength. At 500{degrees}C, material properties initially improve then begin to slowly degrade. Optical microscopy indicates that oxidation of the matrix begins at the matrix/fiber interface and microcracks and proceeds into the bulk of the matrix.
Solar Permitting & Inspection Webinar Series
Office of Energy Efficiency and Renewable Energy (EERE)
ICLEI Local Governments for Sustainability U.S.A. and the Interstate Renewable Energy Council, Inc. (IREC) present a series of three webinars on Solar Permitting & Inspection. As part of the U...
ECOLOGY AND EVOLUTION SEMINAR SERIES*
Ishida, Yuko
ECOLOGY AND EVOLUTION SEMINAR SERIES* WINTER 2013 ECL 296 (CRN 50337) / PBG 292 (CRN 64677 24 The Modern Ecology of Ice-Covered Lakes in Antarctica: A Journey Back JANUARY 31 Lizards in an Evolutionary Tree: Ecology and Adaptive Radiation
Nobel Lecture Series Videos Now Available Online
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Lecture Series Videos Now Available Online Nobel Lecture Videos Now Available Online May 29, 2014 by Kathy Kincade (0 Comments) Three of the NERSC Nobel Lecture Series videos --...
SERI advanced wind turbine blades
Tangler, J.; Smith, B.; Jager, D.
1992-02-01T23:59:59.000Z
The primary goal of the Solar Energy Research Institute`s (SERI) advanced wind turbine blades is to convert the kinetic energy in the wind into mechanical energy in an inexpensive and efficient manner. To accomplish this goal, advanced wind turbine blades have been developed by SERI that utilize unique airfoil technology. Performance characteristics of the advanced blades were verified through atmospheric testing on fixed-pitch, stall-regulated horizontal-axis wind turbines (HAWTs). Of the various wind turbine configurations, the stall-regulated HAWT dominates the market because of its simplicity and low cost. Results of the atmospheric tests show that the SERI advanced blades produce 10% to 30% more energy than conventional blades. 6 refs.
SERI advanced wind turbine blades
Tangler, J.; Smith, B.; Jager, D.
1992-02-01T23:59:59.000Z
The primary goal of the Solar Energy Research Institute's (SERI) advanced wind turbine blades is to convert the kinetic energy in the wind into mechanical energy in an inexpensive and efficient manner. To accomplish this goal, advanced wind turbine blades have been developed by SERI that utilize unique airfoil technology. Performance characteristics of the advanced blades were verified through atmospheric testing on fixed-pitch, stall-regulated horizontal-axis wind turbines (HAWTs). Of the various wind turbine configurations, the stall-regulated HAWT dominates the market because of its simplicity and low cost. Results of the atmospheric tests show that the SERI advanced blades produce 10% to 30% more energy than conventional blades. 6 refs.
Analysis of Sub-Hourly Ramping Impacts of Wind Energy and Balancing Area Size: Preprint
Milligan, M.; Kirby, B.
2008-06-01T23:59:59.000Z
In this paper, we analyze sub-hourly ramping requirements and the benefit of combining Balancing Authority operations with significant wind penetrations.
Add to your Holiday menu: "Canap ", a glass of punch during cocktail hour
Add to your Holiday menu: "Canapé ", a glass of punch during cocktail hour and ½ of bottle of wine per person For only $27.00 per person
Mifepristone and Misoprostol Administered Simultaneously Versus 24 Hours Apart for Abortion
Creinin, Mitchell David
2007-01-01T23:59:59.000Z
mifepristone in combination with miso- prostol administeredA randomized comparison of miso- prostol 6 to 8 hours versusmifepristone 200 mg and vaginal miso- prostol for abortion.
after-hours power status: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
compensation medical care coverage applies to all employees who are authorized to Environmental Sciences and Ecology Websites Summary: AFTER HOURS WORK-RELATED INJURIES Workers'...
Symbolic analysis of non-stationary time series
Tracy, Eugene R.
/control of period doubling bifurcations in internal combustion engines, classification of dynamics of fluidized bed, the system loses stability at some tfixed point unstable fixed point #12;Sherwood Meeting, Atlanta, March 1999 8 )t(r),t())t(,r(fr +-=+= 2&& ),r(f c
Symbolic Dynamic Analysis of Transient Time Series for Fault
Ray, Asok
. A recently developed data-driven technique, called the symbolic dynamic filtering (SDF) [8], has been shown), and Bayesian techniques [9]. Recently, in a two-part paper [10,11], an SDF-based algorithm for detection- stationarity made in SDF. Due to this assumption, SDF may not be able to adequately handle transient data
Spectral Analysis of Univariate and Bivariate Time Series
Percival, Don
be nonnegative, and hence the sdf SX(Â·) is a nonnegative function of frequency. Large values of the sdf tell us glossed over many details here, including the fact that a `proper' sdf does not exist for some stationary] for a heuristic development.) Because {Xt} is a real-valued process, the sdf is an even function; i.e., SX
Modeling North Pacific Climate Time Series Don Percival
Percival, Don
-- autocovariance sequence (ACVS) and -- spectral density function (SDF) . essential di#erence between processes and SDF given by s X,# # cov{X t , X t+# } = # 2 # # |# | 1 - # 2 & SX (f ) = # 2 # 1 + # 2 - 2# cos(2#f noise; LM if # > 0) . ACVS and SDF given by s Y,# = # 2 # sin(##)#(1 - 2#)#(# + #) ##(# + 1 - #) & S Y
Modeling North Pacific Climate Time Series Don Percival
Percival, Don
Â autocovariance sequence (ACVS) and Â spectral density function (SDF) Â· essential difference between processes with mean zero and variance 2 3. || SDF given by sX, cov if > 0) Â· ACVS and SDF given by sY, = 2 sin()(1 - 2)( + ) ( + 1 - ) & SY (f) = 2 |2 sin(f)|2 Â· for 1
BIOINFORMATICS Inferring Gene Regulatory Networks from Time Series
Babu, M. Madan
model regulatory relations in terms of Boolean relationships and combinatorial logic circuits (Kauffman the model (Shmulevich et al., 2002), the immediate extension of PBNs to any finite quantization (also. As opposed to PBNs, where gene interactions are modeled explicitly in terms of binary or multi-valued logical
Efficientt Conditional Quantile Estimation: The Time Series Case
Komunjer, Ivana; Vuong, Quang
2006-01-01T23:59:59.000Z
74) implies E(T U 2 ) = o(1). EFFICIENT QUANTILE ESTIMATIONStatistical Association, EFFICIENT QUANTILE ESTIMATIONSeries Analysis, 4, 185—207. EFFICIENT QUANTILE ESTIMATION (
Input Data Reduction for the Prediction of Financial Time Series
Verleysen, Michel
, redundant or useless. Furthermore, it is well known that any regression method (in particular non-linear (Belgium), 25-27 April 2001, D-Facto public., ISBN 2-930307-01-3, pp. 237-244 #12;new non-linear one method or a non-linear one. In this paper, we will use Principal Component Analysis as a linear
A Quasi-Global Precipitation Time Series for Drought Monitoring
Torgersen, Christian
-00002 for "Famine Early Warning Systems Network Support," the National Aeronautics and Space Administration Applied Sciences Program, Decisions award #NN10AN26I for "A Land Data Assimilation System for Famine Early Warning Standardized Precipitation Index supporting the US Drought Portal and the Famine Early Warning System N
RESULTS Greenhouse Gas Time Series SUMMARY AND CONCLUSIONS
for soil respiration is 5.1 at 3 C and 4.2 at 5 C. · Figure 5b shows that CO2 residual fluxes are water - Sampling location vs. soil temperature and water content CO2 model residuals. The variables on the x fitting method2 . · Soil temperature at 5 cm taken concurrently with chambers · Soil water content of top
Clustering of Unevenly Sampled Gene Expression Time-Series Data
Rostock, Universität
-means, k-means, average linkage hierarchical algorithm and random clustering are compared to the proposed the genes which define the model profiles in [2]. The fuzzy c-means, k- means, average linkage hierarchical as follows: The effects of the temporal information in the comparison of shapes are discussed first, followed
Online Discovery and Maintenance of Time Series Motifs Abdullah Mueen
Zordan, Victor
the performance of data center chillers, and reported "switching from motif 8 to motif 5 gives us a nearly $40
Time series models with an EGB2 conditional distribution
Caivano, Michele; Harvey, Andrew
2014-07-09T23:59:59.000Z
was made by Wang et. al. (2001) who ?tted GARCH-EGB2 models to exchange rate data. The article is organized as follows. In Section 2, the DCS location model based on the general form of the EGB2 distribution, which allows for skew- ness, is introduced... of the location score, dividing (12) by #15;t gives a bounded function as j#15;tj ! 1: Note that the score function is often called the news-impact curve in the GARCH literature and that it becomes asymmetic when a leverage term is introduced into the dynamics...
Decisions on Multivariate Time Series: Combining Domain Knowledge with
Lin, Jessica
), Coppock Guide (CG), Consumer Confidence point drop (CCD), ISM Manufacturing Survey (ISM), and Negative specifically, we take the template of conditions identified by domain experts--such template consists
Resampling Methodology in Spatial Prediction and Repeated Measures Time Series
Rister, Krista Dianne
2012-02-14T23:59:59.000Z
?Z?(s0)/E?Z??(s0) where E? denotes the conditional expectation given Y. Then, the bootstrap-based bias-corrected predictors of Z(s0) are given by Z?BCA (s0) = Z?(s0) + a?n, and Z?BCM (s0) = c?n ? Z? B(s0). In practice, a?n and c?n are evaluated..., the Monte-Carlo approximation to a?n and c?n are given by a?MCn ? 1 B [ B? j=1 Z?j(s0)? B? j=1 Z??j(s0) ] , and c?MCn ? ?B j=1 Z ?j(s0) ?B j=1 Z? ?j(s0) , respectively. 2. Unknown Parameters For real applications, the value...
Rare Time Series Motif Discovery from Unbounded Streams
Zordan, Victor
station's solar panel [2], only a fraction of which we can buffer. A pattern we are observing now seems repeated behavior in a dataset with ten million items, and we wish to discover them. We could employ the MK
Some applications of wavelets to time series data
Jeong, Jae Sik
2009-05-15T23:59:59.000Z
. The development of the robust methodologies against nonstationarity is the main focus of my dissertation. We suggest a wavelet-based Bayesian method which shares good properties coming from both wavelet-based method and Bayesian approach. To check the robustness...
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 ...
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
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
autoregressive time series: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
with several autoregressive models. We have also shown applications to a climate change problem and a financial analysis problem. For the former, reconfirmed is the role of...
astronomical time series: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
with several autoregressive models. We have also shown applications to a climate change problem and a financial analysis problem. For the former, reconfirmed is the role of...
Incremental Unsupervised Time Series Analysis using Merge Growing Neural Gas
Cremers, Daniel
, Nicolai v. Hoyningen-Huene, and Michael Beetz Technische Universit¨at M¨unchen, Intelligent Autonomous Systems Group, Boltzmannstrasse 3, 85747 Garching, Germany {andreaki,hoyninge,beetz}@cs.tum.edu Abstract instabilities during training. #12;2 A. Andreakis, N. v. Hoyningen-Huene, M. Beetz MGNG allows for online
An Efficient and Accurate Method for Evaluating Time Series Similarity
Michigan, University of
, the methods whose matching criteria is bounded by a specified threshold value, such as the LCSS and the EDR to evaluate such threshold value techniques, including LCSS and EDR. Using FTSE, we show that these techniques in a framework that can evaluate a richer range of threshold-based scoring techniques, of which EDR and LCSS
Applications of Time Series in Finance and Macroeconomics
Ibarra Ramirez, Raul
2011-08-08T23:59:59.000Z
with constant intensity. The last essay applies a dynamic factor model to generate out-of-sample forecasts for the inflation rate in Mexico. Factor models are useful to summarize the information contained in large datasets. We evaluate the role of using a wide...
Game-theoretically Optimal Reconciliation of Contemporaneous Hierarchical Time Series
Paris-Sud XI, Université de
of its applications to, among others, inventory manage- ment for companies [Fliedner, 1999], euro-area], which is essential for electricity companies to reduce electricity production cost and take advantage) reconciliation method, which is guaranteed to only improve any given set of forecasts. This opens up new possibil
Essays on time series and causality analysis in financial markets
Zohrabyan, Tatevik
2009-05-15T23:59:59.000Z
Financial market and its various components are currently in turmoil. Many large corporations are devising new ways to overcome the current market instability. Consequently, any study fostering the understanding of financial ...
Mechanical Engineering Department Seminar Series
Papalambros, Panos
Madison as an Honorary Fellow in 2012 after retiring from General Motors Research & DevelopmentMechanical Engineering Department Seminar Series Ignition and Flame Growth in Spray-Guided Stratified-Charge Gasoline Engines Dr. Todd Fansler Engine Research Center University of Wisconsin - Madison
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
Purdue extension Food Entrepreneurship Series
be labeled organic if they are produced from genetically modified organisms or are irradiated. Organic meatPurdue extension FS-14-W Food Entrepreneurship Series Department of Food Science Katherine Clayton food science Extension outreach specialist Deidre Bush former Extension assistant Kevin Keener food
ACCESSCCESS MARINE ECOLOGY PROGRESS SERIES
Zuschin, Martin
OPENPEN ACCESSCCESS MARINE ECOLOGY PROGRESS SERIES Mar Ecol Prog Ser Vol. 458: 3952, 2012 doi: 10 and the instability or unpre- dictability of disturbance. Global warming is expec- ted to increase the vulnerability. 2010, Gruber 2011). Much of the available information about the impact on benthic systems comes
Small Flock Poultry Management Series
New Hampshire, University of
to care for your chicks in advance of them arriving at your home. Newly hatched chicks can not control (water splashed on the hot bulb will shatter it); Where possible use a `Hard Glass' bulb Family, HomeSmall Flock Poultry Management Series Brooding Chicks Starting your chicks Raising a flock
Sibille, Etienne
University of Pittsburgh Test Center Registration Form Exams are by appointment only. Test center hours vary. Please call 412-624-6134 to schedule. Valid ID must be presented at the time of the exam. Mail completed form and Test Center fee to address below. Once payment is received you
Analysis of Wind Power and Load Data at Multiple Time Scales
Coughlin, Katie; Eto, J.H.
2010-12-20T23:59:59.000Z
In this study we develop and apply new methods of data analysis for high resolution wind power and system load time series, to improve our understanding of how to characterize highly variable wind power output and the correlations between wind power and load. These methods are applied to wind and load data from the ERCOT region, and wind power output from the PJM and NYISO areas. We use a wavelet transform to apply mathematically well-defined operations of smoothing and differencing to the time series data. This approach produces a set of time series of the changes in wind power and load (or ?deltas?), over a range of times scales from a few seconds to approximately one hour. A number of statistical measures of these time series are calculated. We present sample distributions, and devise a method for fitting the empirical distribution shape in the tails. We also evaluate the degree of serial correlation, and linear correlation between wind and load. Our examination of the data shows clearly that the deltas do not follow a Gaussian shape; the distribution is exponential near the center and appears to follow a power law for larger fluctuations. Gaussian distributions are frequently used in modeling studies. These are likely to over-estimate the probability of small to moderate deviations. This in turn may lead to an over-estimation of the additional reserve requirement (hence the cost) for high penetration of wind. The Gaussian assumption provides no meaningful information about the real likelihood of large fluctuations. The possibility of a power law distribution is interesting because it suggests that the distribution shape for of wind power fluctuations may become independent of system size for large enough systems.
XXX CORE COURSES SFA MAJOR REQUIREMENTS SFA Communication (1214 hours) College requirements
Long, Nicholas
XXX CORE COURSES SFA MAJOR REQUIREMENTS SFA Communication (1214 hours) College requirements,1412 SPAN 1411,1412 beginning foreign language SPH 172, 272. Note 2 35 hours of mathematics from XXX Core College of Fine Arts (936) 4684804 Office of Admissions (936) 4682504 and XXXXX COLLEGE 200809 XXX
Forecasting the Hourly Ontario Energy Price by Multivariate Adaptive Regression Splines
CaÃ±izares, Claudio A.
1 Forecasting the Hourly Ontario Energy Price by Multivariate Adaptive Regression Splines H. In this paper, the MARS technique is applied to forecast the hourly Ontario energy price (HOEP). The MARS models values of the latest pre- dispatch price and demand information, made available by the Ontario
Cloudy Sky Version of Bird's Broadband Hourly Clear Sky Model (Presentation)
Myers, D.
2006-08-01T23:59:59.000Z
Presentation on Bird's Broadband Hourly Clear Sky Model given by NREL's Daryl Myers at SOLAR 2006. The objective of this report is to produce ''all sky'' modeled hourly solar radiation. This is based on observed cloud cover data using a SIMPLE model.
Stochastic modeling of hourly dry-bulb and wet-bulb temperatures
Kline, D.E.; Woeste, F.E.
1984-01-01T23:59:59.000Z
A stochastic model of hourly dry-bulb and wet-bulb temperatures was developed. The periodic variations over the course of a year were estimated by least-square approximation. A multisite Markov model was used to simulate the stochastic nature of the data. These two models were combined to simulate years of hourly dry-bulb and wet-bulb temperatures.
Stairwells are lit 24 hours per day regardless of occupancy. In stairwells
initial cost and publicize availability to lighting designers and contractors Â· Publicize energy savingsStairwells are lit 24 hours per day regardless of occupancy. In stairwells with high-wattage light fixtures (T12s or T8s), 24-hour use can lead to a significant and unnecessary waste of electricity
Statnikov, Alexander
, smoking and coughing might be both predictive of respiratory disease and helpful for diagnosis purposes. However, if smoking is a cause and coughing a conse- quence, acting on the cause (smoking) can change your health status, but not acting on the symptom or consequence (coughing). Thus it is extremely important
Regressive Modeling 4 pieces, 2.58 seconds. #12;4Kaiserslautern 9/05 Introduction Examples AR GARCH Stochastic for structural break estimation Simulation results Applications Simulation results for GARCH and SSM #12. Segmented GARCH model: where 0 = 1
Summer Series 2012 - Shashi Buluswar
Shashi Buluswar
2012-08-08T23:59:59.000Z
The last installment of the "Summer Series of Conversations" took place Wednesday, August 1, with guest Shashi Buluswar, the executive director of the LBNL Institute for Globally Transformative Technologies (LIGTT). The Institute seeks to foster the discovery, development and deployment of a generation of low-carbon, affordable technologies that will advance sustainable methods to fight global poverty. The event, was hosted by Public Affairs Head Jeff Miller.
Summer Series 2012 - Shashi Buluswar
Shashi Buluswar
2013-06-24T23:59:59.000Z
The last installment of the "Summer Series of Conversations" took place Wednesday, August 1, with guest Shashi Buluswar, the executive director of the LBNL Institute for Globally Transformative Technologies (LIGTT). The Institute seeks to foster the discovery, development and deployment of a generation of low-carbon, affordable technologies that will advance sustainable methods to fight global poverty. The event, was hosted by Public Affairs Head Jeff Miller.
Center for Remote Sensing Remote Sensing Seminar Series 2009
Firestone, Jeremy
Feili Li Center for Remote Sensing 10-20-2009 Remote Sensing Seminar Series 2009 #12;Outline for Meteorological Satellite Studies · University of South Florida - Institute for Marine Remote Sensing · Rutgers MODIS Today Real-Time Polar Remote Sensing Products #12;Software Visualization FlAniS AniS is still
Direct connection of series self-excited generators and HVDC converters
Arrillaga, J.; Macdonald, S.J.; Watson, N.R.; Watson, S. (Univ. Canterbury, Christchurch (New Zealand))
1993-10-01T23:59:59.000Z
An alternative and simpler solution is proposed for the direct connection of generators to HVdc converters. The generator exciter windings are connected in series with the output of the HVdc converter and take the place of the conventional smoothing reactor. Existing steady state and time domain simulation programs are modified to represent the behavior of the series direct connection scheme. It is shown that series excitation extends naturally the power transmission capability and permits fast fault clearances.
Maryland, Baltimore County, University of
Business Exploration Series SkillSoft's latest content innovation, the Business Exploration Series to our Business Skills Courseware Library. The Business Exploration Series provides learners two different learning assets: Business Impact Series Challenge Series Analyze frequently encountered
ESSENCE Good practice document series to improving
Rambaut, Andrew
ESSENCE Good practice document series 2012 Five keys to improving research costing in low ESSENCE Good practice document series Five keys to improving research costing in low- and middle- income countries 2012 ESSENCE Good practice document series Contents About ESSENCE and this 2 good practise
E-Print Network 3.0 - amp-hour counting control Sample Search...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Summary: amp- hour, 12 volt battery. The ORADS is also equipped with a 12-watt, 12 volt solar panel attached... ) sensor that measures lane position and passage of vehicle tires...
Validation of a group 24-hour recall method for dietary assessment
Scott, Amanda Renee
2002-01-01T23:59:59.000Z
A group 24-hour recall method developed by the Expanded Food and Nutrition Education Program of Texas was validated in a population of low-income female food service workers using unobtrusive meal observation as a validation standard. All subjects...
Calibration of Predicted Hourly Zone-Level Supply Air Flows with Measurements
Mihai, A.; Zmeureanu, R.
2013-01-01T23:59:59.000Z
and Saturday instead, but only after February 28th. h) Initially, the predictions presented a one hour lag compared to the measurements; after investigations, it was discovered that the measurements do not take into consideration the daylight savings...
Broader source: Energy.gov [DOE]
Portfolio Manager "Office Hours" is a live webinar that gives all users an opportunity to ask their questions directly to EPA in an open forum. We will plan to spend the first 20-30 minutes of each...
ANTH 376: GENOMICS & ANTHROPOLOGY 4 credit hours (satisfies an SC requirement)
1 ANTH 376: GENOMICS & ANTHROPOLOGY 4 credit hours (satisfies an SC variation, health and evolution. Extended Course Description The Human Genome Project and recent advances in genome sequencing techniques have made it possible
Broader source: Energy.gov [DOE]
Provides required documentation that Hourly Analysis Program (HAP) version 4.50 meets Internal Revenue Code §179D, Notice 2006-52, dated June 2, 2006, for calculating commercial building energy and power cost savings.
MAST/GEOG 667: Wind Power Meteorology Fall 2013, 3 credit hours
Delaware, University of
to understand onshore, offshore, and airborne wind power. Topics include: forces affecting-level winds: Pressure Gradient Force and Coriolis (pressure surfaces, geostrophic flowMAST/GEOG 667: Wind Power Meteorology Fall 2013, 3 credit hours 1
LBNL-53729-Revised After-hours Power Status of Office Equipment and
LBNL-53729-Revised After-hours Power Status of Office Equipment and Energy Use of Miscellaneous of Energy under Contract No. DE-AC03-76SF00098. #12;LBNL-53729-Revised i Table of Contents Table of Contents
Broader source: Energy.gov [DOE]
Provides required documentation that Hourly Analysis Program (HAP) version 4.41 meets Internal Revenue Code §179D, Notice 2006-52, dated April 10, 2009, for calculating commercial building energy and power cost savings.
Calculating Your GPA Grade point value per credit hour is assigned as follows
Divide total quality points (calculated from step 1) by total credit hours earned For Example Finding GPA.8 Totals 20 64.0 GPA= Total Quality Points Total Credit Hours = 64 3.2 20 = GPA= 3.2 *All marks of P, P*, N 101 4 ECON 201 4 ECON 202 4 ACTG 211 4 ACTG 213 4 Totals 20 GPA= Total Quality Points Total Credit
Computer Code Gives Astrophysicists First Full Simulation of Star's Final Hours
Andy Nonaka
2010-01-08T23:59:59.000Z
The precise conditions inside a white dwarf star in the hours leading up to its explosive end as a Type Ia supernova are one of the mysteries confronting astrophysicists studying these massive stellar explosions. But now, a team of researchers, composed of three applied mathematicians at the U.S. Department of Energy's (DOE) Lawrence Berkeley National Laboratory and two astrophysicists, has created the first full-star simulation of the hours preceding the largest thermonuclear explosions in the universe.
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLove Your1 SECTIONES2008-54174MoreMuseum Day at Bradbury
88 Power Series 8.1 Introduction and Review of Power Series
Sikora, Adam S.
88 Power Series Methods 8.1 Introduction and Review of Power Series In Section 3.3 we saw by inspection, linear equations with variable coefficients generally require the power series techniques - 2xy + n(n + 1)y = 0. In this section we introduce the power series method in its simplest form and
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
Kim, Se Hoon
2014-06-27T23:59:59.000Z
Although working hours are generally regarded as a major indicator of stress, little exploration has been done about how working hours influence stress with the relevant individual and job characteristics. The purpose of this study was to examine...
Boyer, Edmond
219- Statistical correlation between hourly and daily values of solar radiation on horizontal- naliÃ¨res du rayonnement solaire. Abstract. 2014 The knowledge of hourly data of solar radiation is required data measured in Italian stations and propose a method to estimate hourly solar radiation
IFB13403 1. Was your auditor for the Revenue Bond Series 2003A and 2005A financial audit year for last year's audit? The existing contract budget is structured with hourly rates, so there isn't a set fee structure for each audit. The cumulative total of invoices for the FY 11/12 audit was $16
Downhole delay assembly for blasting with series delay
Ricketts, Thomas E. (Grand Junction, CO)
1982-01-01T23:59:59.000Z
A downhole delay assembly is provided which can be placed into a blasthole for initiation of explosive in the blasthole. The downhole delay assembly includes at least two detonating time delay devices in series in order to effect a time delay of longer than about 200 milliseconds in a round of explosions. The downhole delay assembly provides a protective housing to prevent detonation of explosive in the blasthole in response to the detonation of the first detonating time delay device. There is further provided a connection between the first and second time delay devices. The connection is responsive to the detonation of the first detonating time delay device and initiates the second detonating time delay device. A plurality of such downhole delay assemblies are placed downhole in unfragmented formation and are initiated simultaneously for providing a round of explosive expansions. The explosive expansions can be used to form an in situ oil shale retort containing a fragmented permeable mass of formation particles.
Sub-Hour Solar Data for Power System Modeling From Static Spatial Variability Analysis: Preprint
Hummon, M.; Ibanez, E.; Brinkman, G.; Lew, D.
2012-12-01T23:59:59.000Z
High penetration renewable integration studies need high quality solar power data with spatial-temporal correlations that are representative of a real system. This paper will summarize the research relating sequential point-source sub-hour global horizontal irradiance (GHI) values to static, spatially distributed GHI values. This research led to the development of an algorithm for generating coherent sub-hour datasets that span distances ranging from 10 km to 4,000 km. The algorithm, in brief, generates synthetic GHI values at an interval of one-minute, for a specific location, using SUNY/Clean Power Research, satellite-derived, hourly irradiance values for the nearest grid cell to that location and grid cells within 40 km.
Paralytic Shellfish Poisoning: A Case Series
Hurley, William; Wolterstorff, Cameron; MacDonald, Ryan; Shultz, Debora
2014-01-01T23:59:59.000Z
Schultz, RN * * Washington Poison Control Center, Seattle,arrest. CASE SERIES The poison center was contacted byby searching Washington Poison Center records from the 6-
Scientific Innovation Through Integration Capabilities Series
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Innovation Through Integration Capabilities Series www.emsl.pnnl.gov EMSL offers technologically sophisticated microscopy instruments capable of imaging a variety of sample types...
Computer Code Gives Astrophysicists First Full Simulation of Star's Final Hours
Applin, Bradford
2013-05-29T23:59:59.000Z
The precise conditions inside a white dwarf star in the hours leading up to its explosive end as a Type Ia supernova are one of the mysteries confronting astrophysicists studying these massive stellar explosions. But now, a team of researchers, composed of three applied mathematicians at the U.S. Department of Energy's (DOE) Lawrence Berkeley National Laboratory and two astrophysicists, has created the first full-star simulation of the hours preceding the largest thermonuclear explosions in the universe. http://www.lbl.gov/cs/Archive/news091509.html
Utility Partnerships Webinar Series: Gas Utility Energy Efficiency...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Utility Partnerships Webinar Series: Gas Utility Energy Efficiency Programs Utility Partnerships Webinar Series: Gas Utility Energy Efficiency Programs gasutilityeewebinarnov2...
Physics 116A Winter 2011 Asymptotic Power Series
California at Santa Cruz, University of
Physics 116A Winter 2011 Asymptotic Power Series In this note, I will define an asymptotic power series, and contrast its definition with that of a convergent power series. All convergent power series are asymptotic series. However, an asymptotic power series may be convergent or divergent. We first consider
Insights from Smart Meters: The Potential for Peak-Hour Savings from Behavior-Based Programs
Todd, Annika
2014-01-01T23:59:59.000Z
2014. Insights from Smart Meters: The Potential for Peak available data captured by smart meters and other sources,series Insights from Smart Meters. DRAFT – DO NOT CIRCULATE
Doctoral Program in Finance: Curriculum Fall FIN 7935 Finance Research Forum (1 credit hour)
Foroosh, Hassan
Doctoral Program in Finance: Curriculum First Year Fall FIN 7935 Finance Research Forum (1 credit of Finance Spring FIN 7935 Finance Research Forum (1 credit hour) ECO 6424 Econometrics I ECO 7116 Microeconomic Theory II FIN 7807 Seminar in Corporate Finance Attend FCTL Teaching Workshop for Doctoral
Changes in the fatty acid composition of goat milk fat after a 48-hour fast
Paris-Sud XI, Université de
milking was analysed. A total of 10 samples was taken from each goat and cooled. Milk samples 1-6 wereChanges in the fatty acid composition of goat milk fat after a 48-hour fast Anne-Marie MASSART, B-9000 Ghent, Belgium. Summary. Five lactating goats were milked twice daily. After a control period
0 3 6 9 12 15 18 21 24 27 Fermentation (hours)
Strynadka, Natalie
0 3 6 9 12 15 18 21 24 27 Fermentation (hours) rpm Do Wet cell weight (g/L) Feed Rate (ml/L) Expon. (Wet cell weight (g/L)) Figure 2. Fermentation profile of a Fed-Batch conducted in the CBR Fermentation, succinate, propionate isobutyrate , and acetate by gas chromatography. They can be removed from the media
Franssen, Michael
Addresses and business hours of Rabobank Eindhoven-Veldhoven Branch Witte Dame (Emmasingel 4), Eindhoven Monday: 12.00 17.00 hrs Tuesday till Thursday: 09.30 17.00 hrs Friday: 09.30 18.00 hrs Saturday 10.00 13.00 hrs Branch Winkelcentrum Woensel 400, Eindhoven Monday: 12.00 17.00 hrs Tuesday
Hourly Temperature Forecasting Using Abductive Networks R. E. Abdel-Aal
Abdel-Aal, Radwan E.
ANNGSF) and for forecasting the one-hour-ahead heat load for a district heat load network (Seppälä et al and network analysis functions in power utilities. Since high-low temperature forecasts are usually provided-Rohani & Maratukulam, 1998). In other agricultural and environmental applications, even high-low temperature forecasts
Avoiding the Rush Hours: WiFi Energy Management via Traffic Isolation
Shihada, Basem
Avoiding the Rush Hours: WiFi Energy Management via Traffic Isolation Justin Manweiler Duke.rc@duke.edu ABSTRACT WiFi continues to be a prime source of energy consumption in mobile devices. This paper observes that, despite a rich body of research in WiFi energy management, there is room for improvement. Our key
Mather, Patrick T.
, students must submit their signed Master's Project to the Graduate Records Office by the graduation date. The Graduate School is notified that the student has fulfilled the Master's Project requirement when's Project (0 Credit Hours) All students not electing to submit a thesis for the master's degree in Computer
Graduation (research) project procedures - After the student completes 100 credit hours he may register for the graduation project module, and after registering this module and obtaining the approval a form particular to the proposed graduation project (form No. 23/a), whereby three proposed titles
ECE 3302: Fundamentals of Electrical Engineering Credit / Contact hours: 3 / 3
Gelfond, Michael
ECE 3302: Fundamentals of Electrical Engineering Credit / Contact hours: 3 / 3 Course coordinator: Mary Baker Textbook(s) and/or other required material: Alexander and Sadiku, Fundamentals of Electric Circuits, 4th Edition, McGraw Gill, 2009. Catalog description: Principles of electric circuits. DC
COLLEGE OF LIBERAL ARTS 15 Hours SPANISH MINOR (M)SPNS
Kihara, Daisuke
COLLEGE OF LIBERAL ARTS 15 Hours SPANISH MINOR (M)SPNS Before undertaking this minor, the student must establish proficiency equivalent to Spanish Level IV. Proficiency may be established by taking and passing SPAN 20200, by examination, or by other evidence acceptable to the Department. Spanish minors must
Thirty states sign ITER nuclear fusion plant deal 1 hour, 28 minutes ago
Thirty states sign ITER nuclear fusion plant deal 1 hour, 28 minutes ago Representatives of more than 30 countries signed a deal on Tuesday to build the world's most advanced nuclear fusion reactor nuclear reactors, but critics argue it could be at least 50 years before a commercially viable reactor
Mongolian Nomads and Climate Change Happy Hour with Dr. Clyde Goulden
Schladow, S. Geoffrey
Mongolian Nomads and Climate Change Happy Hour with Dr. Clyde Goulden Date: Friday, December 8 by the World Bank to study the impacts of nomadic pastoralism and climate change on the Hovsgol watershed," published by Backhuys Publ., with 28 chapters by scientists from Mongolia, Russia, Japan, the United States
PRE-DENTAL HYGIENE Undergraduate Credit Required: 66 hours undergraduate course work
Logan, David
PRE-DENTAL HYGIENE Undergraduate Credit Required: 66 hours undergraduate course work Entrance Exam: None Professional Schooling Required: 2 years dental hygiene school; B.S. Dental Hygiene Local The following are entrance requirements for UNMC's Dental Hygiene program. Students who are considering other
(Please type of print and return with Application for Admission) Verification of Employment Hours
(Please type of print and return with Application for Admission) Verification of Employment Hours to distribute to all employers of the last five years. Section 1: TO BE COMPLETED BY THE APPLICANT AND SENT TO THE EMPLOYER. PLEASE PRINT. Surname:_________________________________ Given Name
CLINICAL VOLUNTEER PROGRAMS Children's Hospital of Orange County/ commitment = 100 hours
Barrett, Jeffrey A.
CLINICAL VOLUNTEER PROGRAMS Children's Hospital of Orange County/ commitment = 100 hours 455 S Hospital Clinical Care Extender Program/ACCEPTING APPLICATIONS NOW INTERVIEWING THROUGH MARCH 26TH 1 Hoag-4 departments Telephone 949 764-5740 Applications every three months http://www.hoag.org/volunteering/clinical
Quantification of Variability and Uncertainty in Hourly NOx Emissions from Coal-Fired Power Plants
Frey, H. Christopher
to quantify variability and uncertainty for NOx emissions from coal-fired power plants. Data for hourly NOx Uncertainty, Variability, Emission Factors, Coal-Fired Power Plants, NOx emissions, Regression Models for different source categories, NOx emissions from coal-fired power plants are analyzed in this #12;2 paper
Library hours vary by semester; Check lib.usf.edu After midnight, USF ID required
Meyers, Steven D.
Library hours vary by semester; Check lib.usf.edu After midnight, USF ID required lib.usf.edu (813? To learn how to: Integrate the library into Canvas, Invite a librarian to join your course's Canvas site, or Request a tailored research guide or library research assignment, Contact: Susan Silver | ssilver
Short Term Hourly Load Forecasting Using Abductive Networks R. E. Abdel-Aal
Abdel-Aal, Radwan E.
Physical Sciences, Research Institute, King Fahd University of Petroleum and Minerals, Dhahran, Saudi for forecasting next-day hourly loads have been developed. Evaluated on data for the 6th year, the models give. INTRODUCTION Accurate load forecasting is a key requirement for the planning and economic and secure operation
From the Big Bang to the Higgs Boson in Less Than an Hour
Fygenson, Deborah Kuchnir
From the Big Bang to the Higgs Boson in Less Than an Hour Jeffrey D H Higgs boson Gauge bosons (force field quanta) Higgs boson and vacuum expectation value Strong) photon Z boson W bosons H Higgs boson Gauge bosons (force field quanta) Higgs boson and vacuum
From the Big Bang to the Higgs Boson in Less Than an Hour
Fygenson, Deborah Kuchnir
From the Big Bang to the Higgs Boson in Less Than an Hour Jeffrey D neutrino Z0 W + W -g gluon (8) photon Z boson W bosons Quarks Leptons H Higgs boson Gauge bosons (force field quanta) Higgs boson and vacuum expectation value Strong force EM force Weak force #12;Par7cles
Daily Texan April 1, 2014 Keeping Tower dark for Earth Hour was
John, Lizy Kurian
of the University's Energy and Water Conservation program, said the Tower going dark was a gesture similarDaily Texan April 1, 2014 Keeping Tower dark for Earth Hour was intended to raise awareness British thermal units, of natural gas. According to the University's Utilities and Energy Management