Denoising Deterministic Time Series
Steven P. Lalley; Andrew B. Nobel
2006-04-21T23:59:59.000Z
This paper is concerned with the problem of recovering a finite, deterministic time series from observations that are corrupted by additive, independent noise. A distinctive feature of this problem is that the available data exhibit long-range dependence and, as a consequence, existing statistical theory and methods are not readily applicable. This paper gives an analysis of the denoising problem that extends recent work of Lalley, but begins from first principles. Both positive and negative results are established. The positive results show that denoising is possible under somewhat restrictive conditions on the additive noise. The negative results show that, under more general conditions on the noise, no procedure can recover the underlying deterministic series.
Lot Times & After Hour Parking Policy Definition & Purpose
Emshwiller, Eve
Lot Times & After Hour Parking Policy Definition & Purpose This policy establishes standard Lot times, (2) establish consistent lot times, and (3) provide balance for after hours parking needs (public Police, and will annually review placement of lots in categories. · Parking is restricted to marked
Time Series Analysis 1 Time series in astronomy
Babu, G. Jogesh
(supernovae, gamma-ray bursts) Difficulties in astronomical time series Gapped data streams: Diurnal & monthly phenomena: thermonuclear (novae, X-ray bursts), magnetic reconnection (solar/stellar flares), star death); pulsation (helioseismology, Cepheids) Stochastic phenomena: accretion (CVs, X-ray binaries, Seyfert gals
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...
Detection Methods for Astronomical Time Series
Coehlo, Nathan Kirk
2010-01-01T23:59:59.000Z
Time Series by Nathan Kirk Coehlo A dissertation submittedCopyright 2010 by Nathan Kirk Coehlo Abstract DetectionTime Series by Nathan Kirk Coehlo Doctor of Philosophy in
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.
Multivariate Time Series Forecasting in Incomplete Environments
Roberts, Stephen
Multivariate Time Series Forecasting in Incomplete Environments Technical Report PARG 08-03 Seung of Oxford December 2008 #12;Seung Min Lee and Stephen J. Roberts Technical Report PARG 08-03 Multivariate missing observations and forecasting future values in incomplete multivariate time series data. We study
Moab Project Logs 2 Million Work Hours Without Lost-Time Injury...
Logs 2 Million Work Hours Without Lost-Time Injury or Illness Moab Project Logs 2 Million Work Hours Without Lost-Time Injury or Illness March 31, 2014 - 12:00pm Addthis Empty...
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
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.
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.
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
Nonlinear time-series analysis revisited
Elizabeth Bradley; Holger Kantz
2015-03-25T23:59:59.000Z
In 1980 and 1981, two pioneering papers laid the foundation for what became known as nonlinear time-series analysis: the analysis of observed data---typically univariate---via dynamical systems theory. Based on the concept of state-space reconstruction, this set of methods allows us to compute characteristic quantities such as Lyapunov exponents and fractal dimensions, to predict the future course of the time series, and even to reconstruct the equations of motion in some cases. In practice, however, there are a number of issues that restrict the power of this approach: whether the signal accurately and thoroughly samples the dynamics, for instance, and whether it contains noise. Moreover, the numerical algorithms that we use to instantiate these ideas are not perfect; they involve approximations, scale parameters, and finite-precision arithmetic, among other things. Even so, nonlinear time-series analysis has been used to great advantage on thousands of real and synthetic data sets from a wide variety of systems ranging from roulette wheels to lasers to the human heart. Even in cases where the data do not meet the mathematical or algorithmic requirements to assure full topological conjugacy, the results of nonlinear time-series analysis can be helpful in understanding, characterizing, and predicting dynamical systems.
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
Earth Hour 2009: March 28, 8:30-9:30 PM Local Time | Department...
Earth Hour 2009: March 28, 8:30-9:30 PM Local Time Earth Hour 2009: March 28, 8:30-9:30 PM Local Time March 27, 2009 - 6:00am Addthis John Lippert The city of Greenbelt, Maryland,...
Normalizing the causality between time series
Liang, X San
2015-01-01T23:59:59.000Z
Recently, a rigorous yet concise formula has been derived to evaluate the information flow, and hence the causality in a quantitative sense, between time series. To assess the importance of a resulting causality, it needs to be normalized. The normalization is achieved through distinguishing three types of fundamental mechanisms that govern the marginal entropy change of the flow recipient. A normalized or relative flow measures its importance relative to other mechanisms. In analyzing realistic series, both absolute and relative information flows need to be taken into account, since the normalizers for a pair of reverse flows belong to two different entropy balances; it is quite normal that two identical flows may differ a lot in relative importance in their respective balances. We have reproduced these results with several autoregressive models. We have also shown applications to a climate change problem and a financial analysis problem. For the former, reconfirmed is the role of the Indian Ocean Dipole as ...
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.
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,
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,...
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 Multivariate Approach to Estimate Complexity of FMRI Time Series
A Multivariate Approach to Estimate Complexity of FMRI Time Series Henry SchÂ¨utze1,2 , Thomas (MPSE), a multivariate entropy ap- proach that estimates spatio-temporal complexity of fMRI time series. In a temporally sliding window, MPSE measures the differential entropy of an assumed multivariate Gaussian density
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
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
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.
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.
Dhar, A. [Enron Corp., Houston, TX (United States); Reddy, T.A. [Drexel Univ., Philadelphia, PA (United States). Civil and Architectural Engineering Dept.; Claridge, D.E. [Texas A and M Univ., College Station, TX (United States). Energy Systems Lab.
1999-02-01T23:59:59.000Z
Accurate modeling of hourly heating and cooling energy use in commercial buildings can be achieved by a Generalized Fourier Series (GFS) approach involving weather variables such as dry-bulb temperature, specific humidity and horizontal solar flux. However, there are situations when only temperature data is available. The objective of this paper is to (i) describe development of a variant of the GFS approach which allows modeling both heating and cooling hourly energy use in commercial buildings with outdoor temperature as the only weather variable and (ii) illustrate its application with monitored hourly data from several buildings in Texas. It is found that the new Temperature based Fourier Series (TFS) approach (1) provides better approximation to heating energy use than the existing GFS approach, (ii) can indirectly account for humidity and solar effects in the cooling energy use, (iii) offers physical insight into the operating pattern of a building HVAC system and (iv) can be used for diagnostic purposes.
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 ...
Applications of Time Series in Finance and Macroeconomics
Ibarra Ramirez, Raul
2011-08-08T23:59:59.000Z
This dissertation contains three applications of time series in finance and macroeconomics. The first essay compares the cumulative returns for stocks and bonds at investment horizons from one to ten years by using a test ...
Modeling Time Series of Real Systems using Genetic Programming
Dilip P. Ahalpara; Jitendra C. Parikh
2006-07-14T23:59:59.000Z
Analytic models of two computer generated time series (Logistic map and Rossler system) and two real time series (ion saturation current in Aditya Tokamak plasma and NASDAQ composite index) are constructed using Genetic Programming (GP) framework. In each case, the optimal map that results from fitting part of the data set also provides a very good description of rest of the data. Predictions made using the map iteratively range from being very good to fair.
Workers at EM’s West Valley Site Surpass 1 Million Hours without Lost-Time Accident
Broader source: Energy.gov [DOE]
WEST VALLEY, N.Y. – EM’s cleanup contractor at the West Valley Demonstration Project (WVDP) recently marked 1 million work hours without a lost-time accident or illness.
Feature-preserving interpolation and filtering of environmental time series
Mariethoz, Gregoire; Jougnot, Damien; Rezaee, Hassan
2015-01-01T23:59:59.000Z
We propose a method for filling gaps and removing interferences in time series for applications involving continuous monitoring of environmental variables. The approach is non-parametric and based on an iterative pattern-matching between the affected and the valid parts of the time series. It considers several variables jointly in the pattern matching process and allows preserving linear or non-linear dependences between variables. The uncertainty in the reconstructed time series is quantified through multiple realizations. The method is tested on self-potential data that are affected by strong interferences as well as data gaps, and the results show that our approach allows reproducing the spectral features of the original signal. Even in the presence of intense signal perturbations, it significantly improves the signal and corrects bias introduced by asymmetrical interferences. Potential applications are wide-ranging, including geophysics, meteorology and hydrology.
NONLINEAR MULTIVARIATE AND TIME SERIES ANALYSIS BY NEURAL NETWORK METHODS
Hsieh, William
NONLINEAR MULTIVARIATE AND TIME SERIES ANALYSIS BY NEURAL NETWORK METHODS William W. Hsieh] Methods in multivariate statistical analysis are essential for working with large amounts of geophysical multivariate statistical analysis, there is a hierarchy of methods, starting with linear regression at the base
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
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.
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
Resampling Methodology in Spatial Prediction and Repeated Measures Time Series
Rister, Krista Dianne
2012-02-14T23:59:59.000Z
- series representation given by ?(x) = ?? k=0 dk(x? ?(s0))k, x ? R (E.19) for some d0, d1, . . . ? R. Further, supppose that E [ Z?n(s0) ]2 = O(1) and that for some k1 ? (0,?), ?? k=1 ?? j=1 kj|dkdj|2 (k+j?2)/2? ( k + j ? 1 2 )[ ?j+k?2... December 2010 Major Subject: Statistics iii ABSTRACT Resampling Methodology in Spatial Prediction and Repeated Measures Time Series. (December 2010) Krista Dianne Rister, B.S., Texas A&M University; M.S., Texas A&M University Chair of Advisory...
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
Nonlinear chaos in temperature time series: Part I: Case studies
Yaron Rosenstein; Gal Zahavi
2012-11-27T23:59:59.000Z
In this work we present 3 case studies of local temperature time series obtained from stations in Europe and Israel. The nonlinear nature of the series is presented along with model based forecasting. Data is nonlinearly filtered using high dimensional projection and analysis is performed on the filtered data. A lorenz type model of 3 first order ODEs is then fitted. Forecasts are shown for periods of 100 days ahead, outperforming any existing forecast method known today. While other models fail at forecasting periods above 11 days, ours shows remarkable stability 100 days ahead. Thus finally a local dynamical system if found for local temperature forecasting not requiring solution of Navier-Stokes equations. Thus saving computational costs.
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.
Slatton, Clint
and clarity. The computer should be placed at right angles to any windows. Light from windows either aheadStaring at a computer screen for hours at a time can result in fatigue, eyestrain, headaches make computer use more comfortable for your eyes. These are signs of eye problems that can be caused
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 AĂ?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
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
New Problems for an Old Design: Time-Series Analyses of Air Pollution and Health
Dominici, Francesca
New Problems for an Old Design: Time-Series Analyses of Air Pollution and Health Jonathan M. Samet1 of particulate air pollution on the same or recent days (1;2). Studies of similar time-series design of morbidity for adverse effects of particulate air pollution on the public's health. The daily time-series studies of air
Exposure Measurement Error in Time-Series Studies of Air Pollution: Concepts and Consequences
Dominici, Francesca
1 Exposure Measurement Error in Time-Series Studies of Air Pollution: Concepts and Consequences S in time-series studies 1 11/11/99 Keywords: measurement error, air pollution, time series, exposure of air pollution and health. Because measurement error may have substantial implications for interpreting
Ray, Asok
February 8, 2015 16:49 World Scientific Review Volume - 9in x 6in "time-series classification" page:49 World Scientific Review Volume - 9in x 6in "time-series classification" page 2 2 S. Bahrampour and N. M
SumTime-Turbine: A Knowledge-Based System to Communicate Gas Turbine Time-Series Data
Reiter, Ehud
SumTime-Turbine: A Knowledge-Based System to Communicate Gas Turbine Time-Series Data Jin Yu produces textual summaries of archived time- series data from gas turbines. These summaries should help evaluated. 1 Introduction In order to get the most out of gas turbines, TIGER [2] has been developed
Forecasting Hourly Electricity Load Profile Using Neural Networks
Koprinska, Irena
Forecasting Hourly Electricity Load Profile Using Neural Networks Mashud Rana and Irena Koprinska--We present INN, a new approach for predicting the hourly electricity load profile for the next day from a time series of previous electricity loads. It uses an iterative methodology to make the predictions
On the long-term correlations and multifractal properties of electric arc furnace time series
Livi, Lorenzo; Rizzi, Antonello; Sadeghian, Alireza
2015-01-01T23:59:59.000Z
In this paper, we study long-term correlations and multifractal properties elaborated from time series of three-phase current signals coming from an industrial electric arc furnace plant. Implicit sinusoidal trends are suitably detected in the scaling of the fluctuation function of such time series. Time series are then initially filtered via a Fourier based analysis, removing hence such strong periodicities. In the filtered time series we detected long-term, positive correlations. The presence of persistent correlations is in agreement with the typical V--I characteristic (hysteresis) of the electric arc furnace, justifying thus the memory effects found in the current time series. The multifractal signature is strong enough in the filtered time series to be effectively classified as multifractal.
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.
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
Abstract--We present a method to integrate environmental time series
89 Abstract--We present a method to integrate environmental time series into stock assessment). A general framework for integrating environmental time series into stock assessment models: model models and to test the significance of correlations between population processes and the environmental
A METHOD FOR IDENTIFYING REPETITION STRUCTURE IN MUSICAL AUDIO BASED ON TIME SERIES PREDICTION
Dixon, Simon
A METHOD FOR IDENTIFYING REPETITION STRUCTURE IN MUSICAL AUDIO BASED ON TIME SERIES PREDICTION This paper investigates techniques for determining the repeti- tion structure of musical audio. In particular. To this end, we propose a novel approach based on multivari- ate time series modelling of audio features
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
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
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
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
A FAST MODEL-BUILDING METHOD FOR TIME SERIES USING GENETIC PROGRAMMING
Fernandez, Thomas
generation, initial values of the parameters in an model (offspring) are inherited from the parents. step-2 series and applied it to lots of time series: (1) computer generated chaos e.g. Logistic, Loessler is made by using a set of finite number of past values measured from the system )x,,x,(xfx~ n-t2-t1-tt
IMPROVED SEMI-PARAMETRIC TIME SERIES MODELS OF AIR POLLUTION AND MORTALITY
Dominici, Francesca
IMPROVED SEMI-PARAMETRIC TIME SERIES MODELS OF AIR POLLUTION AND MORTALITY Francesca Dominici series analyses of air pollution and health attracted the attention of the scientific community, policy makers, the press, and the diverse stakeholders con- cerned with air pollution. As the Environmental
Topic Time Series Analysis of Microblogs ellai@uci.edu
Bertozzi, Andrea L.
-worthy phenomena. However, transforming raw, free-form, real time text into meaningful in- formation remains spatially, temporally or both might be of interest to analysts, marketers, researchers, law enforcement of microblog topics, where edges represent the predictive power of one topic for another. Recovery
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
Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering
Noor, Amina
2012-10-19T23:59:59.000Z
This thesis considers the problem of learning the structure of gene regulatory networks using gene expression time series data. A more realistic scenario where the state space model representing a gene network evolves nonlinearly is considered while...
Nonparametric estimation of additive nonlinear ARX time series: Local Linear Fitting and Projections
Cai, Zongwu; Masry, Elias
2000-08-01T23:59:59.000Z
We consider the estimation and identification of the components (endogenous and exogenous) of additive nonlinear ARX time series models. We employ a local polynomial fitting scheme coupled with projections. We establish ...
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 ...
Time-Series Classification of High-Temporal Resolution AVHRR NDVI Imagery of Mexico
Egbert, Stephen L.; Ortega-Huerta, Miguel; Martí nez-Meyer, Enrique; Price, Kevin P.; Peterson, A. Townsend
2000-01-01T23:59:59.000Z
Time-series data from wide-field sensors, acquired for the period of a growing season or longer, capitalize on phenological changes in vegetation and make it possible to identify vegetated land cover types in greater detail. ...
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. ...
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.
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, ...
Generalized Volterra-Wiener and surrogate data methods for complex time series analysis
Shashidhar, Akhil
2006-01-01T23:59:59.000Z
This thesis describes the current state-of-the-art in nonlinear time series analysis, bringing together approaches from a broad range of disciplines including the non-linear dynamical systems, nonlinear modeling theory, ...
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.
Engine Control Improvement through Application of Chaotic Time Series Analysis
Green, J.B., Jr.; Daw, C.S.
2003-07-15T23:59:59.000Z
The objective of this program was to investigate cyclic variations in spark-ignition (SI) engines under lean fueling conditions and to develop options to reduce emissions of nitrogen oxides (NOx) and particulate matter (PM) in compression-ignition direct-injection (CIDI) engines at high exhaust gas recirculation (EGR) rates. The CIDI activity builds upon an earlier collaboration between ORNL and Ford examining combustion instabilities in SI engines. Under the original CRADA, the principal objective was to understand the fundamental causes of combustion instability in spark-ignition engines operating with lean fueling. The results of this earlier activity demonstrated that such combustion instabilities are dominated by the effects of residual gas remaining in each cylinder from one cycle to the next. A very simple, low-order model was developed that explained the observed combustion instability as a noisy nonlinear dynamical process. The model concept lead to development of a real-time control strategy that could be employed to significantly reduce cyclic variations in real engines using existing sensors and engine control systems. This collaboration led to the issuance of a joint patent for spark-ignition engine control. After a few years, the CRADA was modified to focus more on EGR and CIDI engines. The modified CRADA examined relationships between EGR, combustion, and emissions in CIDI engines. Information from CIDI engine experiments, data analysis, and modeling were employed to identify and characterize new combustion regimes where it is possible to simultaneously achieve significant reductions in NOx and PM emissions. These results were also used to develop an on-line combustion diagnostic (virtual sensor) to make cycle-resolved combustion quality assessments for active feedback control. Extensive experiments on engines at Ford and ORNL led to the development of the virtual sensor concept that may be able to detect simultaneous reductions in NOx and PM emissions under low temperature combustion (LTC) regimes. An invention disclosure was submitted to ORNL for the virtual sensor under the CRADA. Industrial in-kind support was available throughout the project period. Review of the research results were carried out on a regular basis (annual reports and meetings) followed by suggestions for improvement in ongoing work and direction for future work. A significant portion of the industrial support was in the form of experimentation, data analysis, data exchange, and technical consultation.
Jacobs, Laurence J.
Senior Status Required Degree Hours = 129 / Engineering Hours = 52 (see Note 10) This is not an official
Jacobs, Laurence J.
Senior Status Required Degree Hours = 129 / Engineering Hours = 52 (see Note 9) This is not an official
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.
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.
2001, Applied Statistics, 50, 143-154. Nonlinear autoregressive time series with multivariate
Glasbey, Chris
2001, Applied Statistics, 50, 143-154. Nonlinear autoregressive time series with multivariate's Buildings, Edinburgh, EH9 3JZ, Scotland July 27, 2000 Abstract A new form of nonlinear autoregressive time to be multivariate Gaussian mixtures. The model is also a type of multiprocess dynamic linear model
Anomaly detection in thermal pulse combustors using symbolic time series analysis
Ray, Asok
pulse combustor. Results are presented to exemplify early detection of combustion instability due339 Anomaly detection in thermal pulse combustors using symbolic time series analysis S Gupta1 for anomaly detection in thermal pulse combustors. The anomaly detection method has been tested on the time
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/m˛] xt, xd,y Time
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...
Donges, Jonathan F; Beronov, Boyan; Wiedermann, Marc; Runge, Jakob; Feng, Qing Yi; Tupikina, Liubov; Stolbova, Veronika; Donner, Reik V; Marwan, Norbert; Dijkstra, Henk A; Kurths, Jürgen
2015-01-01T23:59:59.000Z
We introduce the pyunicorn (Pythonic unified complex network and recurrence analysis toolbox) open source software package for applying and combining modern methods of data analysis and modeling from complex network theory and nonlinear time series analysis. pyunicorn is a fully object-oriented and easily parallelizable package written in the language Python. It allows for the construction of functional networks such as climate networks in climatology or functional brain networks in neuroscience representing the structure of statistical interrelationships in large data sets of time series and, subsequently, investigating this structure using advanced methods of complex network theory such as measures and models for spatial networks, networks of interacting networks, node-weighted statistics or network surrogates. Additionally, pyunicorn provides insights into the nonlinear dynamics of complex systems as recorded in uni- and multivariate time series from a non-traditional perspective by means of recurrence qua...
A non subjective approach to the GP algorithm for analysing noisy time series
K. P. Harikrishnan; R. Misra; G. Ambika; A. K. Kembhavi
2006-03-11T23:59:59.000Z
We present an adaptation of the standard Grassberger-Proccacia (GP) algorithm for estimating the Correlation Dimension of a time series in a non subjective manner. The validity and accuracy of this approach is tested using different types of time series, such as, those from standard chaotic systems, pure white and colored noise and chaotic systems added with noise. The effectiveness of the scheme in analysing noisy time series, particularly those involving colored noise, is investigated. An interesting result we have obtained is that, for the same percentage of noise addition, data with colored noise is more distinguishable from the corresponding surrogates, than data with white noise. As examples for real life applications, analysis of data from an astrophysical X-ray object and human brain EEG, are presented.
Detrended partial cross-correlation analysis of two time series influenced by common external forces
Qian, Xi-Yuan; Jiang, Zhi-Qiang; Podobnik, Boris; Zhou, Wei-Xing; Stanley, H Eugene
2015-01-01T23:59:59.000Z
We propose a new method, detrended partial cross-correlation analysis (DPXA), to uncover the intrinsic power-law cross-correlations between two simultaneously recorded time series in the presence of nonstationarity after removing the effects of other time series acting as common forces. The DPXA method is a generalization of the detrended cross-correlation analysis by taking into account the partial correlation analysis. We illustrate the performance of the method using bivariate fractional Brownian motions and multifractal binomial measures with analytical expressions and apply it to extract the intrinsic cross-correlation between crude oil and gold futures by considering the impact of the US dollar index.
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.
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.
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
Mining Markov chain transition matrix from wind speed time series data Zhe Song a,
Kusiak, Andrew
Ltd. All rights reserved. 1. Introduction The US and China wind power market is rapidly expanding Wind speed time series Wind power Evolutionary algorithms Markov chain Optimization a b s t r a c transforming the first order transition matrix into its higher order counterparts. The evolutionary search
Indexing of Time Series by Major Minima and Maxima Eugene Fink
Fink, Eugene
sets: stock prices, air and sea temperatures, and wind speeds. Keywords: Compression, indexing.ics.uci.edu). Wind speeds: We have used daily wind speeds at twelve sites in Ireland, from 1961 to 1978, ob- tained. Indexing: The indexing of a time-series database is based on the notion of major inclines, illustrated
Indexing of Time Series by Major Minima and Maxima Eugene Fink
Fink, Eugene
sets: stock prices, air and sea temperatures, and wind speeds. Keywords: Compression, indexing.ics.uci.edu). Wind speeds: We have used daily wind speeds at twelve sites in Ireland, from 1961 to 1978, ob tained. Indexing: The indexing of a timeseries database is based on the notion of major inclines, illustrated
Monitoring water stress using time series of observed to unstressed surface temperature difference
Gentine, Pierre
Monitoring water stress using time series of observed to unstressed surface temperature difference to monitor stress have shifted from establishing empirical relationships between combined vegetation cover/temperature surface temperature as a baseline to monitor water stress. The unstressed temperature is the equilibrium
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
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
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
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
Time-series validation of MODIS land biophysical products in a Kalahari woodland, Africa
Myneni, Ranga B.
Time-series validation of MODIS land biophysical products in a Kalahari woodland, Africa K. F MODIS variables are produced from the same algorithm. Solar zenith angle effects, differences between the two sides of the leaves are not symmetrical; 3. horizontally projected LAI is the area of `shadow
Time Series Methods for ForecastingElectricityMarket Pricing Zoran Obradovic Kevin Tomsovic
Obradovic, Zoran
Time 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 of traditional commodities, such as,oil or agricultural products. Clearly, assessing the effectiveness
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
Creating and Using Geospatial Ontology Time Series in a Semantic Cultural Heritage Portal
Hyvönen, Eero
Creating and Using Geospatial Ontology Time Series in a Semantic Cultural Heritage Portal Tomi annotations in semantic cultural heritage portals commonly make spatiotemporal references to historical heritage portal CULTURESAMPO to sup- port faceted semantic search of contents and to visualize historical
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
EOF analysis of a time series with application to tsunami detection
Tolkova, Elena
EOF 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 for a short-term tidal forecast, as well as for an accu- rate tidal removal needed for early tsunami detection
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
1.2000-2009 time-series return information for Snake River: a. Fall Chinook Salmon
#12;Content: 1.2000-2009 time-series return information for Snake River: a. Fall Chinook Salmon b Natural 2000 2009 Estimated Return Of #12;Species: Run: Origin: Period: Chinook Salmon Fall Natural and Hatchery 2000 2009 Estimated Return Of #12;#12;Species: Run: Origin: Period: Sockeye Salmon Wild
Neural networks as a tool for constructing continuous NDVI time series from AVHRR and MODIS
Neural networks as a tool for constructing continuous NDVI time series from AVHRR and MODIS M. E-stationary aspect of NDVI, we use an artificial neural network (ANN) to map the NDVI indices from AVHRR to those the AVHRR record. Four years of overlap between the two sensors is used to train a neural network to remove
Aalborg Universitet ARIMA-Based Time Series Model of Stochastic Wind Power Generation
Bak-Jensen, Birgitte
power measurement of one year from the Nysted offshore wind farm in Denmark. The proposed limitedAalborg Universitet ARIMA-Based Time Series Model of Stochastic Wind Power Generation Chen, Peiyuan Model of Stochastic Wind Power Generation. IEEE Transactions on Power Systems, 25(2), 667-676. 10
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
Evolving Neural Network Weights for Time-Series Prediction of General Aviation Flight Data
Hu, Wen-Chen
and predictive maintenance systems, reducing accident rates and saving lives. Keywords: Time-Series Prediction and lucrative industry, it has the highest accident rates within civil aviation [21]. For many years between 0.08% for altitude to 2% for roll. Cross validation of the best neural networks indicate
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...
Time-varying Spectral Analysis in Neurophysiological Time Series Using Hilbert
Whitcher, Brandon
ability to detect time-varying coherence and phase properties. Key words: Coherence, electromyographic
Martin, Luis; Marchante, Ruth; Cony, Marco [Investigaciones y Recursos Solares Avanzados (IrSOLaV), Tres Cantos 2 8045 (Spain); Zarzalejo, Luis F.; Polo, Jesus; Navarro, Ana [Energy Department, CIEMAT, Madrid 28040 (Spain)
2010-10-15T23:59:59.000Z
Due to strong increase of solar power generation, the predictions of incoming solar energy are acquiring more importance. Photovoltaic and solar thermal are the main sources of electricity generation from solar energy. In the case of solar thermal energy plants with storage energy system, its management and operation need reliable predictions of solar irradiance with the same temporal resolution as the temporal capacity of the back-up system. These plants can work like a conventional power plant and compete in the energy stock market avoiding intermittence in electricity production. This work presents a comparisons of statistical models based on time series applied to predict half daily values of global solar irradiance with a temporal horizon of 3 days. Half daily values consist of accumulated hourly global solar irradiance from solar raise to solar noon and from noon until dawn for each day. The dataset of ground solar radiation used belongs to stations of Spanish National Weather Service (AEMet). The models tested are autoregressive, neural networks and fuzzy logic models. Due to the fact that half daily solar irradiance time series is non-stationary, it has been necessary to transform it to two new stationary variables (clearness index and lost component) which are used as input of the predictive models. Improvement in terms of RMSD of the models essayed is compared against the model based on persistence. The validation process shows that all models essayed improve persistence. The best approach to forecast half daily values of solar irradiance is neural network models with lost component as input, except Lerida station where models based on clearness index have less uncertainty because this magnitude has a linear behaviour and it is easier to simulate by models. (author)
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...
Trojacek, Erica
2012-02-14T23:59:59.000Z
products that serve as components of VLDL itself or that act in VLDL assembly. These include genes encoding structural proteins, like ApoB, and genes encoding assembly-related proteins. Of the differentially expressed genes as compared to time 0...
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.
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
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
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.
Time cartogram series to explore differences in the level of railway services: a case, population or travelling-time. A time cartogram is a type of cartogram in which the geographic-distance between locations is replaced by a time-related attribute (e.g., travelling-time) and the geography
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.
Fast detection of nonlinearity and nonstationarity in short and noisy time series
M. De Domenico; V. Latora
2010-07-07T23:59:59.000Z
We introduce a statistical method to detect nonlinearity and nonstationarity in time series, that works even for short sequences and in presence of noise. The method has a discrimination power similar to that of the most advanced estimators on the market, yet it depends only on one parameter, is easier to implement and faster. Applications to real data sets reject the null hypothesis of an underlying stationary linear stochastic process with a higher confidence interval than the best known nonlinear discriminators up to date.
Interpretation of engine cycle-to-cycle variation by chaotic time series analysis
Daw, C.S.; Kahl, W.K.
1990-01-01T23:59:59.000Z
In this paper we summarize preliminary results from applying a new mathematical technique -- chaotic time series analysis (CTSA) -- to cylinder pressure data from a spark-ignition (SI) four-stroke engine fueled with both methanol and iso-octane. Our objective is to look for the presence of deterministic chaos'' dynamics in peak pressure variations and to investigate the potential usefulness of CTSA as a diagnostic tool. Our results suggest that sequential peak cylinder pressures exhibit some characteristic features of deterministic chaos and that CTSA can extract previously unrecognized information from such data. 18 refs., 11 figs., 2 tabs.
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.
Jensen, Deborah Larkey
2005-02-17T23:59:59.000Z
. The mean and standard deviation of observable decision-action rates on teacher-identified ?teaching days? were higher than the rates on ?guiding? days. Bivariate time series analysis of decision-action rates and physiological response rates showed a...
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.
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.
Meaningful Rule Discovery and Adaptive Classification of Multi-Dimensional Time Series Data
Shokoohi-Yekta, Mohammad
2015-01-01T23:59:59.000Z
the telemetry of a Delayed Coker. In the last twelve hoursthe telemetry of a Delayed Coker. In the last twelve hours
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.
Forecasting of preprocessed daily solar radiation time series using neural networks
Paoli, Christophe; Muselli, Marc; Nivet, Marie-Laure [University of Corsica, CNRS UMR SPE, Corte (France); Voyant, Cyril [University of Corsica, CNRS UMR SPE, Corte (France); Hospital of Castelluccio, Radiotherapy Unit, Ajaccio (France)
2010-12-15T23:59:59.000Z
In this paper, we present an application of Artificial Neural Networks (ANNs) in the renewable energy domain. We particularly look at the Multi-Layer Perceptron (MLP) network which has been the most used of ANNs architectures both in the renewable energy domain and in the time series forecasting. We have used a MLP and an ad hoc time series pre-processing to develop a methodology for the daily prediction of global solar radiation on a horizontal surface. First results are promising with nRMSE {proportional_to} 21% and RMSE {proportional_to} 3.59 MJ/m{sup 2}. The optimized MLP presents predictions similar to or even better than conventional and reference methods such as ARIMA techniques, Bayesian inference, Markov chains and k-Nearest-Neighbors. Moreover we found that the data pre-processing approach proposed can reduce significantly forecasting errors of about 6% compared to conventional prediction methods such as Markov chains or Bayesian inference. The simulator proposed has been obtained using 19 years of available data from the meteorological station of Ajaccio (Corsica Island, France, 41 55'N, 8 44'E, 4 m above mean sea level). The predicted whole methodology has been validated on a 1.175 kWc mono-Si PV power grid. Six prediction methods (ANN, clear sky model, combination..) allow to predict the best daily DC PV power production at horizon d + 1. The cumulated DC PV energy on a 6-months period shows a great agreement between simulated and measured data (R{sup 2} > 0.99 and nRMSE < 2%). (author)
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...
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.
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...
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.
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
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 ...
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
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
Kirchner, James W.
January 2004; accepted 29 January 2004 Abstract Catchment-scale chemical transport is jointly controlledMeasuring catchment-scale chemical retardation using spectral analysis of reactive and passive chemical tracer time series Xiahong Fenga,*, James W. Kirchnerb , Colin Nealc a Department of Earth
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.
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%.
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
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
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
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...
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
Martinez, L.T.
1997-05-01T23:59:59.000Z
The objective of this study was to determine the effect of nonrandom sampling over time may have on the estimation of variability, namely the geometric standard deviation, using time series of personal exposure data.
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
Kunkle, Tom
or equivalent) Public Speaking (Comm 104 or equivalent) Art History/Music Appreciation/Theatre History (choose 1) US/European/World History (choose 1) Philosophy/Religious Studies/Ethics/Literature (choose 1 student #12;Fulfilled by Course Hours Earned CSCI 112: Communications Technology & the Internet CSCI 115
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.
Six-Week Time Series Of Eddy Covariance CO2 Flux At Mammoth Mountain...
CO2 fluxes and the atmospheric parameters over a comparable time period. Energy balance closure was assessed by statistical regression of EC energy fluxes (sensible and...
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
Time series analysis of the lead-lag relationship of freight futures and spot market prices
Gavriilidis, Nikolaos
2008-01-01T23:59:59.000Z
This thesis analyzes the relationship between the physical and paper shipping markets. The main objective is to find if one market leads the other by a specific time period so that market players can take advantage from ...
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...
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.
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville PowerTariff Pages default Sign In About | Careers | Contact | InvestorsmaxCenterHours-of-Duty Sign
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AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article) |govInstrumentsmfrirtA Journey Inside the Complex and Powerful World ofIntegratedInterfaceSecurityintra-hour Sign In About |
Contacts / Hours - Hanford Site
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville Power Administration would like submit theNationaltoand Insects |1-000|Contacts / Hours Hanford
Maximum likelihood parameter estimation in time series models using sequential Monte Carlo
Yildirim, Sinan
2013-06-11T23:59:59.000Z
, respectively. This approach is useful to handle the case where the columns of Y are generated sequentially in time, such as in audio signal processing. Usually very large number of columns in Y leads to the necessity of online algorithms to learn the model... .6 (dashed lines). For illustrative purposes, every 1000th estimate is shown . . . . . . . . . . . . . . . . . . . . . . . 130 6.1 Histograms of Monte Carlo estimates of gradients of log p?,?,?? (Y ?,?,?) w.r.t. the parameters of the ?-stable distribution...
Ghosh, Sayantan; Panigrahi, Prasanta K
2010-01-01T23:59:59.000Z
We make use of wavelet transform to study the multi-scale, self similar behavior and deviations thereof, in the stock prices of large companies, belonging to different economic sectors. The stock market returns exhibit multi-fractal characteristics, with some of the companies showing deviations at small and large scales. The fact that, the wavelets belonging to the Daubechies' (Db) basis enables one to isolate local polynomial trends of different degrees, plays the key role in isolating fluctuations at different scales. We make use of Db4 and Db6 basis sets to respectively isolate local linear and quadratic trends at different scales in order to study the statistical characteristics of these financial time series. The fluctuations reveal fat tail non-Gaussian behavior, unstable periodic modulations, at finer scales, from which the characteristic $k^{-3}$ power law behavior emerges at sufficiently large scales. We further identify stable periodic behavior through the continuous Morlet wavelet.
Grading System & GPA Calculation UMass Credit Hour
Massachusetts at Amherst, University of
semester. This standard assumes that each credit hour generates two hours of assigned work for every hour
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.
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.
Chen, Wei-Chen [ORNL; Maitra, Ranjan [Iowa State University
2011-01-01T23:59:59.000Z
We propose a model-based approach for clustering time series regression data in an unsupervised machine learning framework to identify groups under the assumption that each mixture component follows a Gaussian autoregressive regression model of order p. Given the number of groups, the traditional maximum likelihood approach of estimating the parameters using the expectation-maximization (EM) algorithm can be employed, although it is computationally demanding. The somewhat fast tune to the EM folk song provided by the Alternating Expectation Conditional Maximization (AECM) algorithm can alleviate the problem to some extent. In this article, we develop an alternative partial expectation conditional maximization algorithm (APECM) that uses an additional data augmentation storage step to efficiently implement AECM for finite mixture models. Results on our simulation experiments show improved performance in both fewer numbers of iterations and computation time. The methodology is applied to the problem of clustering mutual funds data on the basis of their average annual per cent returns and in the presence of economic indicators.
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
Piercing 'The Illusion of Time'
Broader source: Energy.gov [DOE]
Take an hour tonight to tune into PBS Nova's "The Fabric of the Cosmos" series — tonight's episode offers a whole new perspective on time as we know it. It suggests that time itself – or at least what our perceptions and experiences tell us it is – could be an illusion.? Host Brian Greene is joined by a theoretical physicist from Fermilab.
Baltazar-Cervantes, J. C.; Claridge, D. E.
2002-01-01T23:59:59.000Z
This paper presents seventeen approaches that use cubic splines and Fourier series for restoring short term missing data in time series of building energy use and weather data. The study is based on twenty samples of hourly data, each at least one...
Baltazar, J. C.; Claridge, D. E.
2002-01-01T23:59:59.000Z
The paper presents seventeen approaches that use cubic splines and Fourier series for restoring short term missing data in time series of building energy use and weather data. The study is based on twenty samples of hourly data, each at least one...
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.
Rabatel, Antoine
Using remote-sensing data to determine equilibrium-line altitude and mass-balance time series to calculate glacier mass balance using remote-sensing data. Snowline measurements from remotely sensed images by ground measurements and remote sensing are compared and show excellent correlation (r2 > 0.89), both
International Association for Cryptologic Research (IACR)
analysis, machine learning, time series classification. 1 Introduction Embedded devices such as smart cards operations allowing to secure, for example, bank transfers, buildings and cars. A modern bank card embeds securely a secret information allowing in fine to transfer cash. This operation is allowed by the smart
Introduction to Ocean Station Time Series CD-ROM The National Oceanographic Data Center (NODC) and the World Data Center for Oceanography (WDC) have compiled from the NODC Oceanographic Station Data File a set of oceanographic data having repetitive samples along ocean sections or at fixed locations
Tse, Chi K. "Michael"
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS--I: FUNDAMENTAL THEORY AND APPLICATIONS, VOL. 50, NO. 5 that may be applied to determine whether an observed time series is inconsis- tent with a specific class to the residuals of nonlinear models is equiv- alent to fitting that model subject to an information theoretic
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...
TESTING FORM Please deliver exams with envelope & testing form at least 24 hours in advance to
Selmic, Sandra
TESTING FORM Please deliver exams with envelope & testing form at least 24 hours in advance to: _________________________________ Class Time: __________ - __________ _________ Test Date: _______________________________ Time allotted): ____________________________ INSTRUCTOR PROCEDURES: 1. Please deliver tests to WYLY TOWER 318 at least 24 hours PRIOR to test time
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...
Workers 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,...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Location and Hours Location The ORNL Research Library is located off the central corridor of Bldg. 4500N on the main ORNL campus. Hours The library is open 24 hours, seven days a...
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.
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.
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...
A Series Solution Framework for Finite-time Optimal Feedback Control, H-infinity Control and Games
Sharma, Rajnish
2010-01-14T23:59:59.000Z
The Bolza-form of the finite-time constrained optimal control problem leads to the Hamilton-Jacobi-Bellman (HJB) equation with terminal boundary conditions and tobe- determined parameters. In general, it is a formidable ...
FIRST YEAR-FALL HOURS FIRST YEAR-SPRING HOURS GT 1000 FRESHMAN SEMINAR* 1
Gaucher, Eric
14 or 15 THIRD YEAR-FALL HOURS THIRD YEAR-SPRING HOURS BIOL 3450 CELL BIOLOGY OR BIOL 3600 EVOLUTIONFIRST YEAR-FALL HOURS FIRST YEAR-SPRING HOURS GT 1000 FRESHMAN SEMINAR* 1 ENGL 1101 ENGLISH YEAR-FALL HOURS SECOND YEAR-SPRING HOURS BIOL 2335 ECOLOGY OR BIOL 2354 HONORS GENETICS 3 BIOL 2337
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.
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.
Is the hourly data I get from NREL's PV Watts program adjusted...
Is the hourly data I 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...
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 ...
Hours of Operation - HPMC Occupational Health Services
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Email Page | Print Print Page |Text Increase Font Size Decrease Font Size Standard Clinic Hours - 1979 Snyder and 200 West 7:00 AM - 5:00 PM, Monday - Friday AMH Hours Sign...
Time Commitments Where Does Your Time Go
Kunkle, Tom
Time Commitments Where Does Your Time Go Everyone starts the week with the same number of hours. So, why does your time go so fast? Let's find out! Number of hours of sleep each night ____ x 7 preparation/clean-up time) ____ x 7 = ____ Travel time to and from campus ___ x __ = ____ Number of hours per
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.
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
Lewicki, Jennifer; Lewicki, J.L.; Fischer, M.L.; Hilley, G.E.
2007-10-15T23:59:59.000Z
CO{sub 2} and heat fluxes were measured over a six-week period (09/08/2006 to 10/24/2006) by the eddy covariance (EC) technique at the Horseshoe Lake tree kill (HLTK), Mammoth Mountain, CA, a site with complex terrain and high, spatially heterogeneous CO{sub 2} emission rates. EC CO{sub 2} fluxes ranged from 218 to 3500 g m{sup -2} d{sup -1} (mean = 1346 g m{sup -2} d{sup -1}). Using footprint modeling, EC CO{sub 2} fluxes were compared to CO{sub 2} fluxes measured by the chamber method on a grid repeatedly over a 10-day period. Half-hour EC CO{sub 2} fluxes were moderately correlated (R{sup 2} = 0.42) with chamber fluxes, whereas average-daily EC CO{sub 2} fluxes were well correlated (R{sup 2} = 0.70) with chamber measurements. Average daily EC CO{sub 2} fluxes were correlated with both average daily wind speed and atmospheric pressure; relationships were similar to those observed between chamber CO{sub 2} fluxes and the atmospheric parameters over a comparable time period. Energy balance closure was assessed by statistical regression of EC energy fluxes (sensible and latent heat) against available energy (net radiation, less soil heat flux). While incomplete (R{sup 2} = 0.77 for 1:1 line), the degree of energy balance closure fell within the range observed in many investigations conducted in contrasting ecosystems and climates. Results indicate that despite complexities presented by the HLTK, EC can be reliably used to monitor background variations in volcanic CO{sub 2} fluxes associated with meteorological forcing, and presumably changes related to deeply derived processes such as volcanic activity.
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.
University Library University Library Opening Hours
Banaji,. Murad
University Library University Library Opening Hours 5 June to 31 December 2015 www.le.ac.uk/library Access during non staffed service hours is with a valid Library card and access after midnight is for University of Leicester students and staff only. Friday 5 June to Sunday 27 September 2015 except Public
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.
Showalter, Kenneth
developments and experimental applications of feedback control to nonlinear dynamical systems [211]. Recent of Dynamical Systems from Time Series Valery Petrov and Kenneth Showalter* Department of Chemistry, West of multidimensional, nonlinear single-input single-output systems is formulated in terms of an invariant hypersurface
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...
Hours of Operation MondayThursday 6am 9pm
Kulp, Mark
SENTAO Using the same "Zumba music" and rhythmic steps. ZUMBA SENTAO heats up exercise by adding a hybrid of interval training and circuits, participants will complete a series of timed exercises to get a total body workout! This class is sure to get your heart pumping
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
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 Âż20 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
Earned Value Management Essentials 14 hours, $895
Fork, Richard
Earned Value Management Essentials 14 hours, $895 A growing demand for Earned Value Management (EVM 1 5) ONLINE: On Demand | G. Smith | D2514012E Earned Value Management Acquire the knowledge to increase your earned value management skills. Gain an understanding of earned value management and its
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
Health Promotion Graduate Student Coordinator 15-20 hours/week $18/hour (pending approval)
Lafferriere, Gerardo
Health Promotion Graduate Student Coordinator 15-20 hours/week $18/hour (pending approval year. The Graduate Student Coordinator for Health Promotion is responsible for assisting the Fitness & Health Promotion Coordinator in the development, promotion, management and implementation of Campus Rec
Intra-Hour Dispatch and Automatic Generator Control Demonstration...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Intra-Hour Dispatch and Automatic Generator Control Demonstration with Solar Forecasting Intra-Hour Dispatch and Automatic Generator Control Demonstration with Solar Forecasting...
Reassessing After-Hour Arrival Patterns and Outcomes in ST-Elevation Myocardial Infarction
2015-01-01T23:59:59.000Z
coronary intervention (PCI) facilities in Dallas, Texas,Weekends and after-hour PCI coverage is still associatedtimes of STEMI patients at PCI-capable hospitals on D2B time
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 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.
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
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.
Fermilab | Visit Fermilab | Hours, Maps and Directions
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article) | SciTech Connect Journal Article: X-rayContract Documents PPPL TheAthe CyclotronFundingAsk aTheory ChalkboardHours,
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.
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.
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
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.
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.
Three Hours Mathematical formula books and statistical tables are to be provided
Lionheart, Bill
MATH48191 Three Hours Mathematical formula books and statistical tables are to be provided and log return rt at time t in terms of the price Pt > 0 at time t and the price Pt-1 > 0 at time t - 1
Three Hours Mathematical formula books and statistical tables are to be provided
Lionheart, Bill
MATH68191 Three Hours Mathematical formula books and statistical tables are to be provided and log return rt at time t in terms of the price Pt > 0 at time t and the price Pt-1 > 0 at time t - 1
The BENCHMARK trademark code: Simulation of hourly generation: User's guide
Jenkins, R.T. (Tennessee Univ., Chattanooga, TN (USA). School of Engineering)
1990-04-01T23:59:59.000Z
BENCHMARK simulates generator commitment and dispatch hourly for periods extending from one week to one year. Its value to utilities stems from its accurate representation of operator strategies and generator operating constraints (including ramp rate limits, minimum operating levels, and minimum uptime and downtime). The availability of thermal units is either prespecified or determined by a Monte Carlo technique. The program can model a pump-storage or compressed-air energy storage facility, and can allocate hydroelectric energy over a multiweek interval. BENCHMARK can produce reports with detailed hourly data or summary reports for part or all of the simulation period. Results can be reported for individual units or for groups of units. It is also possible to produce a file of data for use with an external graphics program. BENCHMARK is written in FORTRAN and requires about 2-1/2 megabytes of core. Execution times per simulation week and per Monte Carlo replication vary from under 1 second of CPU time for systems without a storage facility to up to about 10 seconds for a large system with pumped storage.
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
Central Eurasian Studies (CEUS) Uzbek Coffee & Conversation Hour
Robeson, Scott M.
(314 E. Kirkwood Avenue) Finnish Coffee & Conversation Hour WEDNESDAYS, 5:30-6:30 pm, IMU Starbucks, IMU Starbucks Tibetan Tea & Conversation Hour THURSDAYS, 6:00-7:00 pm, Anyetsang's Little Tibet Restaurant (415 E. 4th Street) Turkish Coffee & Conversation Hour FRIDAYS, 1:00-2:00 pm, IMU Starbucks Uyghur
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
Arnold, Jonathan
Series Packages MASTERWORKS · Atlanta Symphony Orchestra and Chorus September 20 · Atlanta PACKAGE · Includes all of the concerts on both the Masterworks and Classics series. Ten performances · This package includes all of the events on the Show Biz and Celebrity Evenings series. Ten performances in all
Date of Injury Date Time In Time Out
Date of Injury Date Time In Time Out Total time worked medical appt no work within restrictions: 9704914804; phone: 9704916745 # of hours worked TOTAL HOURS *Time off work MUST be documented by a medical note in order to be paid through injury leave *Attach lost time documentation to the report and turn
Exact Primitives for Time Series Data Mining
Mueen, Abdullah Al
2012-01-01T23:59:59.000Z
on Knowledge discovery and data mining, KDD, pages 947–956,on Knowledge discovery and data mining, KDD ’11, pages [15]on Knowledge discovery and data mining, KDD ’03, pages 493–
Text Queries on Document Time Series
Baeza-Yates, Ricardo
Retrieved for Query "iraq war" #12;Smoothed Timeline for "iraq war" #12;Temporal Models Goal: Estimate;Documents Retrieved for Query "iraq war" #12;Weighted by Document Relevance #12;Smoothed with Background
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.
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
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 . . . . . . . . . . . . . . . . . . .
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 ...
Kim, Se Hoon
2014-06-27T23:59:59.000Z
the relationships among perceived working hours, general stress, work centrality, job control, job demands, and work condition constraints for full-time employees in the United States and Korea. A self-administered questionnaire survey approach was used to collect...
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
NREL Develops Sub-Hour Solar Power Data Set
. The National Renewable Energy Laboratory (NREL) has developed a methodology to synthesize 1-minute power output Model. Using spatial variability as an input to the sub-hour solar power algorithm gener- ates a dataNREL Develops Sub-Hour Solar Power Data Set NREL data will help utilities incorporate solar energy
: 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
Fourier Series and Integrals Fourier Series
Mehta, Pankaj
(x) can be expanded in a Fourier series f(x) = a0 2 + n=1 an cos nx L + bn sin nx L , (1a) or expansion, multiply Eq. (1) by cos nx L or sin nx L and integrate over the interval. For this calculation, we need the basic orthogonality relation of the basis functions: L -L cos nx L cos mx L dx = mnL, (3
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
Airport quotas and peak hour pricing : theory and practice
Odoni, Amedeo R.
1976-01-01T23:59:59.000Z
This report examines the leading theoretical studies not only of airport peak-hour pricing but also of the congestion costs associated with airport delays and presents a consistent formulation of both. The report also ...
DOE ZERH Virtual Office Hours (1 of 4)
Broader source: Energy.gov [DOE]
TitleZERH Virtual Office Hours: Get the Answers You Need Quickly & EfficientlyDescriptionWhether you’re new to DOE Zero Energy Ready Home or have been involved for a few years, our partners...
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.
Kalueff, Allan V.
adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed + Business Media made a renewed commitment to this series. The new program will focus on methods
Kalueff, Allan V.
analysis. Use in connection with any form of information storage and retrieval, electronic adaptation Science + Business Media made a renewed commitment to this series. The new program will focus on methods
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 ...
Martinez, Tony R.
801-422-3042 E-mail: lifesciences@byu.edu Text: SMS 4-122-LIF-SC Office Hours MBF 8:00 aB5:00 p Internship Website Office Hours MBF 8:00 aB5:00 p INTERNSHIP COORDINATOR IRAMS issues (online application-422-6535 lisa_christenson@byu.edu University Advisor for CLS Resumes, Letter Writing, Job Search Skills
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
15 Hours and 59 Minutes Story on Page 26
Alpay, S. Pamir
of habitat and pesticide usage. What exactly do we know about the planet's pol- linators? As botanist Krissa of Biodiversity Program. This past year, Skogen was also featured on the YouTube web series "Plants Are Cool, Too.D. at work at s.uconn.edu/desertblooms on the latest episode of the YouTube web series "Plants Are Cool, Too
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
Energy Management Webinar Series
Broader source: Energy.gov [DOE]
Boost your knowledge on how to implement an energy management system through this four-part webinar series from the Superior Energy Performance program. Each webinar introduces various elements of the ISO 50001 energy management standard—based on the Plan-Do-Check-Act approach—and the associated steps of DOE's eGuide for ISO 50001 software tool.
Klein, Ophir
Bay Area Global Health Seminar Series 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
ARCHITECTURE The tour will take an hour to walk.
Boucherie, Richard J.
ARCHITECTURE & ART The tour will take an hour to walk. Refreshments during your tour are available 12 1518 20 27 28 31 34 architecture & art a walking tour of the campus colophon Extra info1 Het. Timmerman, , 2011. See also: www.groteA.nl The Art & Architecture Route is a publication of December 2013
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...
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
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
15 hours of Accounting Must take two of
Huang, Haiying
15 hours of Accounting completed Must take two of these three options in Senior year. Attention. Prerequisites: Are courses or requirements that must be completed before enrollment in a course. BS - Accounting Business Statistics I Acct 3303 Accounting Systems Acct 3311 Financial Accounting I Acct 3312 Financial
Storing hydroelectricity to meet peak-hour demand
Valenti, M.
1992-04-01T23:59:59.000Z
This paper reports on pumped storage plants which have become an effective way for some utility companies that derive power from hydroelectric facilities to economically store baseload energy during off-peak hours for use during peak hourly demands. According to the Electric Power Research Institute (EPRI) in Palo Alto, Calif., 36 of these plants provide approximately 20 gigawatts, or about 3 percent of U.S. generating capacity. During peak-demand periods, utilities are often stretched beyond their capacity to provide power and must therefore purchase it from neighboring utilities. Building new baseload power plants, typically nuclear or coal-fired facilities that run 24 hours per day seven days a week, is expensive, about $1500 per kilowatt, according to Robert Schainker, program manager for energy storage at the EPRI. Schainker the that building peaking plants at $400 per kilowatt, which run a few hours a day on gas or oil fuel, is less costly than building baseload plants. Operating them, however, is more expensive because peaking plants are less efficient that baseload plants.
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
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
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.
General Information 1. Indicate time spent
Pittendrigh, Barry
General Information 1. Indicate time spent: On a computer at work: ____ hours per day On a computer at home: ____ hours per day On a handheld computer (e.g., Blackberry): ____ hours per day 2. Desktop or laptop computer Use: (circle applicable) My work computer is a: desktop laptop My home computer is a
Springer Series in Statistics Springer Series in Statistics
Cappé, Olivier
Springer Series in Statistics Springer Series in Statistics Inference in Hidden Markov Models class of statistical models with applications in diverse areas such as communications engineering models, including both algo- rithms and statistical theory. Topics range from filtering and smoothing
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
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.
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
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.
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.
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.
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
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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
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.
Detecting very long-lived gravitational-wave transients lasting hours to weeks
Thrane, Eric; Christensen, Nelson
2015-01-01T23:59:59.000Z
We explore the possibility of very long-lived gravitational-wave transients (and detector artifacts) lasting hours to weeks. Such very long signals are both interesting in their own right and as a potential source of systematic error in searches for persistent signals, e.g., from a stochastic gravitational-wave background. We review possible mechanisms for emission on these time scales and discuss computational challenges associated with their detection: namely, the substantial volume of data involved in a search for very long transients can require vast computer memory and processing time. These computational difficulties can be addressed through a form of data compression known as coarse-graining, in which information about short time spans is discarded in order to reduce the computational requirements of a search. Using data compression, we demonstrate an efficient radiometer (cross-correlation) algorithm for the detection of very long transients. In the process, we identify features of a very long transie...
DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading
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 Data Center Home Page on DeliciousPlasmaP a g e October 20, 2014 Attn: DavidNovemberCriticalAPPLICATIONResources,Scientific Research Projects |
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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaP a g e October 20, 2014 Attn:Renewable Energy, and2.4ReserveProtest)Projects inDOE'sDesign15 Teams for
DOE's Office of Science Awards 95 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaP a g e October 20, 2014 Attn:Renewable Energy, and2.4ReserveProtest)Projects inDOE'sDesign15 Teams
* Hamburg Higher Education Act ** Full-time positions currently comprise 39 hours per week.
Hamburg,.Universität
System Model and thus providing constraints for terrestrial alkalinity-, cation-, and P. The technical goal will be to deliver a terrestrial weathering module for further integration into the MPI-Earth
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
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article) |govInstrumentsmfrirtA Journey Inside the Presentationsjobs Running jobs QuickFP (04-95) Sections II7/31/13 Page 1 of 22TM
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article) |govInstrumentsmfrirtA Journey Inside the Presentationsjobs Running jobs QuickFP (04-95) Sections II7/31/13 Page 1 of
* Hamburg Higher Education Act ** Full-time positions currently comprise 39 hours per week.
Hamburg,.Universität
or transient superconducting states. The experimental work includes the maintenance of femtosecond Titanium:Sapphire laser sys- tems, the generation of mid-infrared pump and extreme-utraviolet probe pulses using optical, respectively, the maintenance of the ultrahigh vacuum chamber for the tr-ARPES experiments as well as in situ
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 Data Center Home Page on Delicious RankShale_Gas.pdfService on theFossilActionDepartmentDOE Sustainability|2DepartmentEnergyEnergy Oak15
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362 ofSubscribeDepartment(EAP) Bulletin,DepartmentEnergyDr.RoseSeptember 8,Department ofMixing
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article) |govInstrumentsmfrirtA Journey InsideMicroBooNE LArTPC SarahArea: U.S.Videos7/15org is hosted byLaBombardY-12 National
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville PowerTariff Pages default Sign In AboutIs gravity a7Isotope andJC3Contract forDivisionsBLab Group
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5(Million Cubic Feet) Oregon (Including Vehicle Fuel) (MillionStructural Basis of5, 2014 |and TerryVolunteering employees,W A8, 20143, 2014pril 22Workers
Moab Project Logs 2 Million Work Hours Without Lost-Time Injury or Illness
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 Data Center Home Page on DeliciousPlasma | Department ofEnergy 9 Lehman final 1003 SCVehicles |9 SuggestedMitigationContinues| Department of
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
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
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 ...
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...
Crawford, Vincent P.; Meng, Juanjuan
2008-01-01T23:59:59.000Z
the hours and income that would maximize consumption utilitythe income and hours that would maximize consumption utility
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 · Members Mark Douglass, Jefferson
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...
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 -...
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...
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
Mellor, David Hugh
2001-01-01T23:59:59.000Z
The article shows how McTaggart’s distinction between A- and B-series ways of locating events in time prompted and enabled the twentieth century’s most important advances in the philosophy of time. It argues that, even if the B-series represents...
Scalable Tuning of Building Models to Hourly Data
Garrett, Aaron [Jacksonville State University; New, Joshua Ryan [ORNL
2015-01-01T23:59:59.000Z
Energy models of existing buildings are unreliable unless calibrated so they correlate well with actual energy usage. Manual tuning requires a skilled professional, is prohibitively expensive for small projects, imperfect, non-repeatable, non-transferable, and not scalable to the dozens of sensor channels that smart meters, smart appliances, and cheap/ubiquitous sensors are beginning to make available today. A scalable, automated methodology is needed to quickly and intelligently calibrate building energy models to all available data, increase the usefulness of those models, and facilitate speed-and-scale penetration of simulation-based capabilities into the marketplace for actualized energy savings. The ``Autotune'' project is a novel, model-agnostic methodology which leverages supercomputing, large simulation ensembles, and big data mining with multiple machine learning algorithms to allow automatic calibration of simulations that match measured experimental data in a way that is deployable on commodity hardware. This paper shares several methodologies employed to reduce the combinatorial complexity to a computationally tractable search problem for hundreds of input parameters. Accuracy metrics are provided which quantify model error to measured data for either monthly or hourly electrical usage from a highly-instrumented, emulated-occupancy research home.
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
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
Eisenstein Series in String Theory
N. A. Obers; B. Pioline
2000-03-01T23:59:59.000Z
We discuss the relevance of Eisenstein series for representing certain G(Z)-invariant string theory amplitudes which receive corrections from BPS states only. The Eisenstein series are constructed using G(Z)-invariant mass formulae and are manifestly invariant modular functions on the symmetric space K\\G(R) of non-compact type, with K the maximal compact subgroup of G(R). In particular, we show how Eisenstein series of the T-duality group SO(d,d,Z) can be used to represent one- and g-loop amplitudes in compactified string theory. We also obtain their non-perturbative extensions in terms of the Eisenstein series of the U-duality group E_{d+1(d+1)}(Z).
Mechanical Engineering Department Seminar Series
Awtar, Shorya
Mechanical Engineering Department Seminar Series The use of Virtual Prototyping and 3D Printing-based medical device design and manufacture linked up with 3D printing. The improvements will include patient
Mechanical Engineering Department Seminar Series
Awtar, Shorya
Mechanical Engineering Department Seminar Series Mechanics of a Mosquito Professor of Mechanical Engineering Clemson University Tuesday, March 24, 2015 4:00 5:00 pm Room 1303 EECS Abstract: The mechanics of a fascicle insertion into the skin
Solar Permitting & Inspection Webinar Series
Office of Energy Efficiency and Renewable Energy (EERE)
ICLEI Local Governments for Sustainability U.S.A. and the Interstate Renewable Energy Council, Inc. (IREC) present a series of three webinars on Solar Permitting & Inspection. As part of the U...
Detecting very long-lived gravitational-wave transients lasting hours to weeks
Eric Thrane; Vuk Mandic; Nelson Christensen
2015-05-12T23:59:59.000Z
We explore the possibility of very long-lived gravitational-wave transients (and detector artifacts) lasting hours to weeks. Such very long signals are both interesting in their own right and as a potential source of systematic error in searches for persistent signals, e.g., from a stochastic gravitational-wave background. We review possible mechanisms for emission on these time scales and discuss computational challenges associated with their detection: namely, the substantial volume of data involved in a search for very long transients can require vast computer memory and processing time. These computational difficulties can be addressed through a form of data compression known as coarse-graining, in which information about short time spans is discarded in order to reduce the computational requirements of a search. Using data compression, we demonstrate an efficient radiometer (cross-correlation) algorithm for the detection of very long transients. In the process, we identify features of a very long transient search (related to the rotation of the Earth) that make it more complicated than a search for shorter transient signals. We implement suitable solutions.
CSM GRADUATE HOURLY GRADUATE ASSISTANT AGREEMENT Student's Name
#Term_of_Appointment. Contracts written for partial semesters are set up accordingly. Late contracts are set up for payment. This appointment may be terminated by either party at any time for any reason. In the event of such termination and effective on the termination date, CSM will cease stipend payments for services not yet rendered. Any
Uncertain Time-Series Similarity: Return to the Basics
Palpanas, Themis
efficiency, prod- uct quality and safety, hydrologic and geologic observing systems, pollution management- sor networks are used in hydrologic and geologic ob- serving systems, pollution management in urban of ap- plication domains, including traffic flow management, me- teorology, astronomy, remote sensing
DETECTING REGIMES IN TEMPERATURE TIME SERIES PATRICK J. CLEMINS
Povinelli, Richard J.
, such as the northern hemisphere during the winter, tend to follow a regime structure. The El Nino cycle, which has two
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
Essays on time series and causality analysis in financial markets
Zohrabyan, Tatevik
2009-05-15T23:59:59.000Z
of the rest of the country. Further evidence suggests that house prices of most census divisions are mainly influenced by house price changes of other regions. The interdependence of oil prices and stock market indices across countries is examined...
Condition Evaluation for Speculative Systems: a Streaming Time Series Case
Wang, Xiaoyang "Sean"
., Univ. of Vermont xywang@cs.uvm.edu Like Gao CS Dept., Univ. of Vermont lgao@cs.uvm.edu Min Wang IBM T
Symbolic Dynamic Analysis of Transient Time Series for Fault
Ray, Asok
Soumalya Sarkar e-mail: svs5464@psu.edu Kushal Mukherjee1 Mem. ASME e-mail: kushal.mukherjee@gmail.com Soumik Sarkar2 Mem. ASME e-mail: sarkars@utrc.utc.com Asok Ray Fellow ASME e-mail: axr2@psu
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 (
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
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
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
Time series models with an EGB2 conditional distribution
Harvey, Andrew; Caivano, Michele
2013-07-17T23:59:59.000Z
function; see Kleiber4 and Kotz (2003, ch6). The GB2 distribution contains many important distributions as special cases, including the Burr (#24; = 1) and log-logistic (#24; = 1; & = 1). GB2 distributions are fat tailed for ?nite #24; and & with upper... and lower tail indices of #17; = and #17; = #24;#23; respectively. The absolute value5 of a tf variate is GB2(f 1=2'; 2; 1=2; f=2) with tail index is #17; = #17; = f: 4Note that Kleiber and Kotz (2003) have #11; and #23; in reverse order, ie they write...
V-uniform ergodicity of threshold autoregressive nonlinear time series
Boucher, Thomas Richard
2004-09-30T23:59:59.000Z
-uniform ergodicity for the k-step chain: limsup bardblxbardblarrowrightinfinity E(V(Xn+k)|X0 = x) V(x) < 1 (2.3) and for all M < infinity sup bardblxbardbl<=
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
Self-organizing Time Series Model Tomoyuki Higuchi
Higuchi, Tomoyuki
.1) observation model yt r( jxt obs) (1.2) where xt is an nx 1 vector of unobserved sate variables, and yt R) (1.6) where F G, and H are nx nx, nx nv , and ny nx matrices, respectively. Q and R enormously with respect to the state dimension nx (Carlin, Polson and Sto er 1992, Fahrmeir 1992, Fruhwirth
Times Series Study of Effects of Petroleum Production on GDP
Ballinger, Leslie 1991-
2012-05-02T23:59:59.000Z
This paper uses Maddison data on GDP in major oil-producing countries to analyze whether correlations exist between metric tonnage of oil produced and the economic development of the country. For my purposes I use GDP per capita to measure economic...
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
Time series of a CME blasting out from the Sun
Christian, Eric
and light. The Sun regularly bathes us and the rest of our solar system in energy in the forms of light thermonuclear reactor, fusing hydrogen atoms into helium and producing million degree temperatures and intense, reduce the normal flow of energy to the visible surface of the Sun. They are closely watched by space
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 ˝ 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.
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.
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
UCDscholarcast Series 13 (Spring 2015)
with Dublin City Public Libraries) Series Editor: Derek Hand General Editor: P.J. Mathews © UCDscholarcast #12 itself. Barrytown functions as a self-contained and seemingly insular space where the notion of public is the dissolution of the boundaries that exist between public and private. Within both the Rabbitte household
Series expansions and sudden singularities
John D. Barrow; S. Cotsakis; A. Tsokaros
2013-01-28T23:59:59.000Z
We construct solutions of the Friedmann equations near a sudden singularity using generalized series expansions for the scale factor, the density, and the pressure of the fluid content. In this way, we are able to arrive at a solution with a sudden singularity containing two free constants, as required for a general solution of the cosmological equations.
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.
Statnikov, Alexander
2011-01-01T23:59:59.000Z
, 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
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
RA After Hours On Call (971) 246-1388 Your Guide to
Latiolais, M. Paul
on the first floor, and in the first floor lobby of the Ondine Building. Heat Broadway uses baseboard heating floor and retail space on the ground floor. Each studio features loft-like cement floors and a modern (503) 725-4404 RA After Hours On Call FYE (floors 3-7) (971) 246-1386 RA After Hours On Call Upper
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.
Siteclimate: a program to create hourly site-specific weather data
Arens, E.; Lee, E.; Bauman, F.; Flynn, L.
1985-01-01T23:59:59.000Z
a program to create hourly weather tapes f o r s p e c i f in of t y p i c a l hourly weather data f o r energy c a l ci t e - S p e c i f i c Weather Data E. Arens, Ph.D. ASHRAE
Impact of realistic hourly emissions profiles on air pollutants concentrations modelled with CHIMERE
Menut, Laurent
Impact of realistic hourly emissions profiles on air pollutants concentrations modelled)). At the regional scale, CTMs are mainly used to predict hourly concentrations for a large set of pollutants for air Keywords: Atmospheric composition European air quality Anthropogenic emissions a b s t r a c t Regional
Bachelor of Arts in Astronomy Degree Courses Total Hours In Core and Departmental Requirements: 107
Turc, Catalin
. If another Capstone is taken the number of hours may be different. Physics Hours: 29 PHYS 121 General Physics I: Mechanics................................. (4) PHYS 122 General Physics II: Electricity and Magnetism ...... (4) PHYS 221 General Physics III: Modern Physics ..................... (3) PHYS 250
Widen, Joakim; Waeckelgaard, Ewa [Department of Engineering Sciences, The Aangstroem Laboratory, Uppsala University, P.O. Box 534, SE-751 21 Uppsala (Sweden); Paatero, Jukka; Lund, Peter [Advanced Energy Systems, Helsinki University of Technology, P.O. Box 2200, FI-02015 HUT (Finland)
2010-03-15T23:59:59.000Z
The trend of increasing application of distributed generation with solar photovoltaics (PV-DG) suggests that a widespread integration in existing low-voltage (LV) grids is possible in the future. With massive integration in LV grids, a major concern is the possible negative impacts of excess power injection from on-site generation. For power-flow simulations of such grid impacts, an important consideration is the time resolution of demand and generation data. This paper investigates the impact of time averaging on high-resolution data series of domestic electricity demand and PV-DG output and on voltages in a simulated LV grid. Effects of 10-minutely and hourly averaging on descriptive statistics and duration curves were determined. Although time averaging has a considerable impact on statistical properties of the demand in individual households, the impact is smaller on aggregate demand, already smoothed from random coincidence, and on PV-DG output. Consequently, the statistical distribution of simulated grid voltages was also robust against time averaging. The overall judgement is that statistical investigation of voltage variations in the presence of PV-DG does not require higher resolution than hourly. (author)
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.
Bibliography of the Scripps Institution of Oceanography Reference Series 2001
Criqui, Nan P.; Kuhns, Kittie K.
2002-01-01T23:59:59.000Z
Scripps Institution of Oceanography Reference Series 2001.SCRIPPS INSTITUTION OF OCEANOGRAPHY REFERENCE SERIES 01-01
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
Quantum Mechanics Summary/Review Spring 2009 Compton Lecture Series
Quantum Mechanics Summary/Review Spring 2009 Compton Lecture Series: From Quantum Mechanics one component at a time. · Planck's constant determines the scale at which quantum mechanical effects could get rid of quantum mechanical effects The "wavelength" of particles given by h mv would all
Editor's Announcement: The Journal's New Supplement Series
Barnett, William A.
2007-02-01T23:59:59.000Z
Beginning in 2007, this journal will publish a new series of supplements for special issues. This new supplements series is intended to remove some special issues from the regular-issues space budget and thereby help to avoid the crowding...
Focus Series | Department of Energy
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 Data Center Home Page on DeliciousPlasmaP a g e October 20,attachment1.pdfFlash2010-40.pdfFlash_2010-49.pdfof EnergyAnFocus Series Focus
Olszewski Jr., Edward A.
Department of Physics & Physical Oceanography Faculty Report on Credit-Hour Equivalent (CHE and Physical Oceanography can report activities beyond their normal teaching loads. This form will be used
Broader source: Energy.gov [DOE]
Provides required documentation that Hourly Analysis Program (HAP) version 4.31 meets Internal Revenue Code §179D, Notice 2006-52, dated June 2, 2006, for calculating commercial building energy and power cost savings.
Broader source: Energy.gov [DOE]
Provides required documentation that Hourly Analysis Program (HAP) version 4.34 meets Internal Revenue Code §179D, Notice 2006-52, dated June 2, 2006, for calculating commercial building energy and power cost savings.
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 ...
EPA ENERGY STAR Webinar: Portfolio Manager Office Hours, Focus Topic: Understanding Energy 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. We will plan to spend the first 20-30 minutes of each...
EPA ENERGY STAR Webcast: Portfolio Manager Office Hours, Focus Topic: Responding to a Data Request
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...
Analysis of Sub-Hourly Ramping Impacts of Wind Energy and Balancing Area Size (Poster)
Milligan, M.; Kirby, B.
2008-06-01T23:59:59.000Z
WindPower 2008 conference sponsored by AWEA held in Houston, TX on June 1-4 2008. This poster illustrates the data collected for an analysis of sub-hourly ramping impacts of wind energy and balancing area size.
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...
Broader source: Energy.gov [DOE]
Provides required documentation that Hourly Analysis Program (HAP) version 4.40 meets Internal Revenue Code §179D, Notice 2006-52, dated April 10, 2009, for calculating commercial building energy and power cost savings.
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
Treptow, Elizabeth E
2013-08-29T23:59:59.000Z
in their Fundamental Moral Orientation. The researcher conducted a quantitative study of 2010, 2011, and 2012 American FFA recipients’ sense of servant leadership and the types of community service hours recorded on their American FFA Degree application. A five part...
MAST/GEOG 667: Wind Power Meteorology Fall 2013, 3 credit hours
Firestone, Jeremy
MAST/GEOG 667: Wind Power Meteorology Fall 2013, 3 credit hours 1 to understand onshore, offshore, and airborne wind power. Topics include: forces affecting winds; terrain and land-use effects; air turbulence; numerical modeling; wind power
A simple method to downscale daily wind statistics to hourly wind data
Guo, Zhongling
2013-01-01T23:59:59.000Z
Wind is the principal driver in the wind erosion models. The hourly wind speed data were generally required for precisely wind erosion modeling. In this study, a simple method to generate hourly wind speed data from daily wind statistics (daily average and maximum wind speeds together or daily average wind speed only) was established. A typical windy location with 3285 days (9 years) measured hourly wind speed data were used to validate the downscaling method. The results showed that the overall agreement between observed and simulated cumulative wind speed probability distributions appears excellent, especially for the wind speeds greater than 5 m s-1 range (erosive wind speed). The results further revealed that the values of daily average erosive wind power density (AWPD) calculated from generated wind speeds fit the counterparts computed from measured wind speeds well with high models' efficiency (Nash-Sutcliffe coefficient). So that the hourly wind speed data can be predicted from daily average and maximu...
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article) |govInstrumentsmfrirtA Journey Inside the Complex andFOUR Los Phase 1MillerYiMuseum Day at Bradbury Science MuseumMuseum
Teresa L Kepner
2011-06-14T23:59:59.000Z
Math G144. 12:00-. 1:00. David Norris. Math G144. Gabriel Smith. Math B13. David Norris. Math G144. David Norris. Math G144. Gabriel Smith. Math B13. 1:
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
Rock, Chris
Texas Tech University offers specialized advising for the first 45 degree hours in 10 pre students to declare a major two semesters after accumulating 45 degree hours. Each health program has
Climate Change Task Force Webinar Series | Department of Energy
Climate Change Task Force Webinar Series Climate Change Task Force Webinar Series The four-part Climate Change Impacts and Indian Country webinar series provided tribal leaders an...
Hydrogen and Fuel Cells Webinar Series Kickoff | Department of...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Hydrogen and Fuel Cells Webinar Series Kickoff Hydrogen and Fuel Cells Webinar Series Kickoff Presented at the State and Regional Initiatives Informational Call and Meeting Series...
The summation of certain series
Holder, Leonard Irvin
1951-01-01T23:59:59.000Z
write //= / k =/ C~k-/J+ k~/ But since ~ ? = Z ?, we have ~ 2 g. ~ 2k=/ / / )=E- ? ' /I=/ ~C&~2! = (ig '=' a' Z(&p/(/ or, For p ~ 1, 2, 3 the sums are 7r B Now, if we subtract sides of equation (5-11), the series z= ~~. - we obtain from... A = ~ (/FZ) ~CF and ~ = ~ (/ ? ig. Now mr cot 8 F c/zt' 8' = ~ + ~i//g ~/n8 ZD/ BF ca F c ms' &/'ng s/'n E and cps (g p) ? ceo(s/e) ' cps(g-8) ? ccrc (agP Thus C ) ~ p( p amer~ ~u ca5 z /z 77cl ? &o5fz rrip a. nd 7j cr (' ) ? ZW//7 d VD 77...
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...
Time at the Royal Observatory The rotation of the Earth gives us two kinds of time (1) ordinary
Glass, Ian S.
Time at the Royal Observatory ISG STAR TIME The rotation of the Earth gives us two kinds of time (1) ordinary Sun-related time of 24 hours and (2) Sidereal time relating to the stars. This means that a star's position in the sky is always the same at the same sidereal time. A sidereal day is shorter by about four
Boyer, Edmond
219- Statistical correlation between hourly and daily values of solar radiation on horizontal- naličres 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
O'Mahony, Donal E.
Elements Holistic Therapy Clinic Holistic Massage: This hour long session involves a complete. Leaving you re-vitalised, supple and ready for life. 1 ˝ hours available. Back, Neck and Shoulders boost Massage: This half an hour session relieves the back of stress knots and stiffness built up within
A FUSION METHOD FOR CREATING SUB-HOURLY DNI-BASED TMY FROM LONG-TERM SATELLITE-BASED AND
Boyer, Edmond
A FUSION METHOD FOR CREATING SUB-HOURLY DNI-BASED TMY FROM LONG-TERM SATELLITE-BASED AND SHORT, it is highly recommended to use sub-hourly DNI information. Due to limitation in spatial and temporal in term of any sub- hourly temporal variability. To overcome this limitation, we propose an innovative
Fu, Yong
650 IEEE TRANSACTIONS ON POWER DELIVERY, VOL. 26, NO. 2, APRIL 2011 Hourly Scheduling of DC will determine the optimal hourly schedule of controllable VSC-DC transmission systems in electricity markets converters. Index of units. Index of hour. Superscript for an injection. DC current of converter . On
Royer, Dana
Sustainability Intern Position The sustainability intern position will require approximately five/1/2016), 15-17 weeks/semester. Sustainability Interns will be required to arrive early for Orientation Week Sustainability Intern. Both will report to Jen Kleindienst, Sustainability Coordinator. They will need to be self
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.
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...
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-
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
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
Measuring the Value of Time in Highway Freight Transportation
Miao, Qing
2014-01-13T23:59:59.000Z
was examined in relationship to inventory management by assuming prolonged transportation time or freight delay. Delay of chemical products was ranked as the highest VOT at $13.89/truckload/hour, followed by food products at $7.24/truckload/hour. Finally, a...
Automatic Dirichlet series J.P. Allouche
Allouche, Jean-Paul
Automatic Dirichlet series J.ÂP. Allouche CNRS, LRI Bâ??atiment 490 FÂ91405 Orsay Cedex (France's theorem on the existence of logarithmic frequencies of symbols in automatic sequences is given, and certain infinite products are explicitly computed. Keywords: automatic sequences, Dirichlet series
EE G6903: Remote Sensing Spring Class Hours: Wednesdays 2:00 4:45
Wolberg, George
EE G6903: Remote Sensing Spring Class Hours: Wednesdays 2:00 4:45 William B. Rossow transfer to remote sensing measurements of Earth's atmosphere and land-ocean surfaces, and describe practical methods for advanced analysis of satellite remote sensing data. Learning Goals: To understand
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
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
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 in a proportional decrease in battery life. We design SleepWell, a system that achieves energy efficiency by evading to turn off the de- vice whenever beneficial. While WiFi energy efficiency has progressively improved
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
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 emissions, heat rate, gross load and capacity factor of 32 units from 9 different power plants were analyzed Uncertainty, Variability, Emission Factors, Coal-Fired Power Plants, NOx emissions, Regression Models
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
SCHOOL OF MATHEMATICS AND STATISTICS Spring Semester 20072008 OPERATIONS RESEARCH 2 hours
four will be counted. 1 (i) A company owns a steam turbine power generating plant that generates its steam from coal. It wishes to maximise the steam output. This, however, may result in emission that does per hour. The plant receives two grades of pul- verised coal, C1 and C2, for use in the steam plant
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
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
Total Term: Credit Hours 1 2 3 4 5 6 7 8
Kamat, Vineet R.
481/581, Aquatic Chemistry 3 3 CEE 482/582, Environmental Microbiology 3 3 Environmental 101, Introduction to Computers 4 4 Chemistry 130 and 125/1261 5 5 Physics 140 with Lab, Computational Methods 4 4 Technical Core Subjects (32 hours)3 + Chemistry 210, Organic Chemistry 4 4
Total Term: Credit Hours 1 2 3 4 5 6 7 8
Kamat, Vineet R.
101, Introduction to Computers 4 4 Chemistry 125/126 and 130 or Chemistry 210 and 2111 5 5 to Civil and Environmental Engineering 1 1 CEE 211, Statics and Dynamics 4 4 CEE 212, Solid Elective (3 hours) + Biology 171, 172, or 174 Earth & Environmental Sciences 119, 201, 222, 284, or 320 CEE
BS in Software Engineering (BSSE), 2015-2016 catalog 3 hours of Math electives
Huang, Haiying
4321 Software Testing *CSE 4322 Software Project Management CSE 3311 Object-Oriented SoftwareBS in Software Engineering (BSSE), 2015-2016 catalog Electives · 3 hours of Math electives · 4 Design II CSE 3302 Programming Languages CSE 3315 Theoretical CS *CSE 4361 Software Design Patterns *SE
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
For 24 hour parking information call 1-855-535-1100 Public Parking Information
MacMillan, Andrew
.) Emergency Lot: (entrance off 112 Street) Pay for parking upon arrival (Pay & Display machines) · Rates: $2For 24 hour parking information call 1-855-535-1100 Public Parking Information University of Alberta Hospital, Stollery Children's Hospital and Mazankowski Alberta Heart Institute Parking Office Room
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
Three Hours Mathematical formula books and statistical tables are to be provided
Lionheart, Bill
MATH68191 Three Hours Mathematical formula books and statistical tables are to be provided of 9 P.T.O. #12;MATH68191 SECTION A Answer ALL of the three questions A1. (a) Let Pt > 0 be the price is the implication on asset prices? [2+2 marks] (d) Under the random walk hypothesis with normal increments
Three Hours Mathematical formula books and statistical tables are to be provided
Lionheart, Bill
MATH48191 Three Hours Mathematical formula books and statistical tables are to be provided of 9 P.T.O. #12;MATH48191 SECTION A Answer ALL of the three questions A1. (a) Let Pt > 0 be the price is the implication on asset prices? [2+2 marks] (d) Under the random walk hypothesis with normal increments
Chemistry 109 (3 credit hours) Honors General Chemistry Lecture, Part I; Fall 2014
Doyle, Robert
Chemistry 109 (3 credit hours) Honors General Chemistry Lecture, Part I; Fall 2014 Instructor Prerequisite: None Textbook: Zumdahl and Zumdahl, Chemistry, 9th Edition, (Houghton Mifflin). Copies of the book are available at the University Bookstore. Corequisite: CHE 129 Honors General Chemistry
Six- and three-hourly meteorological observations from 223 USSR stations
Razuvaev, V.N.; Apasova, E.B.; Martuganov, R.A. [All-Russian Research Inst. of Hydrometeorologicl Information, Obninsk (Russia). World Data Centre; Kaiser, D.P. [Oak Ridge National Lab., TN (United States)
1995-04-01T23:59:59.000Z
This document describes a database containing 6- and 3-hourly meteorological observations from a 223-station network of the former Soviet Union. These data have been made available through cooperation between the two principal climate data centers of the United States and Russia: the National Climatic Data Center (NCDC), in Asheville, North Carolina, and the All-Russian Research Institute of Hydrometeorological Information -- World Data Centre (RIHMI-WDC) in Obninsk. Station records consist of 6- and 3-hourly observations of some 24 meteorological variables including temperature, weather type, precipitation amount, cloud amount and type, sea level pressure, relative humidity, and wind direction and speed. The 6-hourly observations extend from 1936 to 1965; the 3-hourly observations extend from 1966 through the mid-1980s (1983, 1984, 1985, or 1986; depending on the station). These data have undergone extensive quality assurance checks by RIHMI-WDC, NCDC, and the Carbon Dioxide Information Analysis Center (CDIAC). The database represents a wealth of meteorological information for a large and climatologically important portion of the earth`s land area, and should prove extremely useful for a wide variety of regional climate change studies. These data are available free of charge as a numeric data package (NDP) from CDIAC. The NDP consists of this document and 40 data files that are available via the Internet or on 8mm tape. The total size of the database is {approximately}2.6 gigabytes.
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 of the European Union, the United States, Japan, India, Russia, South Korea and China signed the ITER agreement
Physics 116A Winter 2011 The Alternating Series Test
California at Santa Cruz, University of
Physics 116A Winter 2011 The Alternating Series Test An alternating series is defined to be a series of the form: S = # # n=0 (-1) n a n , (1) where all the a n > 0. The alternating series test but property 1 and/or property 2 do not hold, then the alternating series test is inconclusive. Note
Physics 116A Winter 2011 The Alternating Series Test
California at Santa Cruz, University of
Physics 116A Winter 2011 The Alternating Series Test An alternating series is defined to be a series of the form: S = n=0 (-1)n an , (1) where all the an > 0. The alternating series test is a set and/or property 2 do not hold, then the alternating series test is inconclusive. Note that property 1
MacAdam, Keith
2014-2015Series College of Public Health University of Kentucky is accredited by the Southern) .......................................................... 3 *BST 330 Statistical Thinking for Population Health *CPH 201 Introduction to Public Health
Department of Mechanical Engineering 2014 Seminar Series
Bernstein, Joseph B.
Department of Mechanical Engineering 2014 Seminar Series Elliot Hui, Ph.D. Assistant Professor-on-a-chip diagnostic systems that run autonomously without off-chip controllers. bio: Elliot Hui is Assistant Professor
Solar Instructor Series A PROJECT BY
Authori es Having Jurisdic on Inspectors, Code Officials Workshops under the Solar Instructor Series: 1 9. NEC ® 2011 Code Updates PV 10. Integra ng Solar into Exis ng Curricula 11. How to Land Your
Summer Series 2012 - Conversation with Kathy Yelick
Kathy Yelick
2012-07-23T23:59:59.000Z
Jeff Miller, head of Public Affairs, sat down in conversation with Kathy Yelick, Associate Berkeley Lab Director, Computing Sciences, in the second of a series of "powerpoint-free" talks on July 18th 2012, at Berkeley Lab.
ACS SYMPOSIUM SERIES 966 Rational Environmental
Hammock, Bruce D.
ACS SYMPOSIUM SERIES 966 Rational Environmental Management of Agrochemicals Risk Assessment-Bayo, Editor Chiha University Sponsored by the ACS Division of Agrochemicals American Chemical Society of agrochemicals : risk assessment, monitoring, and remedial action / Ivan R. Kennedy, editor. ..[et al
SFI Speaker Series Jonah Levine Energy
Integration of Electric Generation Resources for the Next Generation Utility: Bringing Wind Energy ontoSFI Speaker Series April 8 Jonah Levine Energy Storage Researcher , UC Boulder ronmental implications of biofuel technology; con tinue innovation in forest cultivation, harvesting
2012-2013 Series College of Agriculture
Hayes, Jane E.
2012-2013 Series College of Agriculture and School of Human Environmental Sciences University about the accreditation of University of Kentucky. AgriculturalBiotechnology Agriculturalbiotechnologyencompassescellularandmolecularapproaches to the manipulation and improvement of agricultural plants, animals and microorganisms
SHORT ROTATION WOODY CROPS FACTSHEET SERIES # 5
Minnesota, University of
SHORT ROTATION WOODY CROPS FACTSHEET SERIES # 5 Sustainability of SRWC for Energy1 WHAT IS SUSTAINABILITY? Sustainability is meeting the needs of the present without compromising the ability of future" of sustainability: economics, environmental, and social. ENVIRONMENTAL SUSTAINABILITY Environmental sustainability
CLEAN Webinar Series 1 | Open Energy Information
WebinarHeader.JPG Webinar1.JPG Triangle Right.JPG Webinar2.JPG Webinar3.JPG Webinar4.JPG Webinar5.JPG Ret rieved from "http:en.openei.orgwindex.php?titleCLEANWebinarSeries...
CLEAN Webinar Series 3 | Open Energy Information
JPG Webinar3.JPG Triangle Right.JPG Webinar4.JPG Webinar5.JPG Ret rieved from "http:en.openei.orgwindex.php?titleCLEANWebinarSeries3&oldid678001...
CLEAN Webinar Series 2 | Open Energy Information
JPG Triangle Right.JPG Webinar3.JPG Webinar4.JPG Webinar5.JPG Ret rieved from "http:en.openei.orgwindex.php?titleCLEANWebinarSeries2&oldid67800...
CLEAN Webinar Series 4 | Open Energy Information
WebinarHeader.JPG Webinar1.JPG Webinar2.JPG Webinar3.JPG Webinar4.JPG Triangle Right.JPG Webinar5.JPG Ret rieved from "http:en.openei.orgwindex.php?titleCLEANWebinarSeries4...
Dual Lindstedt series and KAM theorem
Marco Frasca
2009-09-09T23:59:59.000Z
We prove that exists a Lindstedt series that holds when a Hamiltonian is driven by a perturbation going to infinity. This series appears to be dual to a standard Lindstedt series as it can be obtained by interchanging the role of the perturbation and the unperturbed system. The existence of this dual series implies that a dual KAM theorem holds and, when a leading order Hamiltonian exists that is non degenerate, the effect of tori reforming can be observed with a system passing from regular motion to fully developed chaos and back to regular motion with the reappearance of invariant tori. We apply these results to a perturbed harmonic oscillator proving numerically the appearance of tori reforming. Tori reforming appears as an effect limiting chaotic behavior to a finite range of parameter space of some Hamiltonian systems. Dual KAM theorem, as proved here, applies when the perturbation, combined with a kinetic term, provides again an integrable system.
Alternative Fuels Data Center: P-Series
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Energy Security-P-Series fuels can be manufactured from domestic natural gas and biomass feedstocks, reducing U.S. reliance on imported petroleum. More Information Learn more about...
2012-2013 Series College of Agriculture
Hayes, Jane E.
. Industries which have an impact upon the environment maintain a staff of environmental scientists2012-2013 Series College of Agriculture and School of Human Environmental Sciences University about the accreditation of University of Kentucky. Natural Resources and Environmental Science
Continuously-Variable Series-Elastic Actuator
Mooney, Luke M.
Actuator efficiency is an important factor in the design of powered leg prostheses, orthoses, exoskeletons, and legged robots. A continuously-variable series-elastic actuator (CV-SEA) is presented as an efficient actuator ...
Summer Series 2012 - Conversation with Omar Yaghi
Omar Yaghi
2013-06-24T23:59:59.000Z
Jeff Miller, head of Public Affairs, sat down in conversation with Omar Yaghi, director of the Molecular Foundry, in the first of a series of "powerpoint-free" talks on July 11th 2012, at Berkeley Lab.
Security Lab Series Introduction to Web Technologies
Tao, Lixin
Security Lab Series Introduction to Web Technologies Prof. Lixin Tao Pace University http...........................................................................................................................................1 1.1 Web ArchitectureScript..................................................................................16 4.6 Creating Your First JavaServer Page Web Application
NESLS Summer Seminar Series | ornl.gov
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
NESLS Summer Seminar Series Jun 17 2015 02:00 PM - 03:00 PM Kord Smith, Ph.D., Massachusetts Institute of Technology (MIT), Cambridge NESLS JICS Auditorium, Building 5100, Room 128...
Summer Series 2012 - Conversation with Kathy Yelick
Yelick, Kathy
2013-06-24T23:59:59.000Z
Jeff Miller, head of Public Affairs, sat down in conversation with Kathy Yelick, Associate Berkeley Lab Director, Computing Sciences, in the second of a series of "powerpoint-free" talks on July 18th 2012, at Berkeley Lab.
Reliability analysis of solar photovoltaic system using hourly mean solar radiation data
Moharil, Ravindra M. [Department of Electrical Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, Maharashtra (India); Kulkarni, Prakash S. [Department of Electrical Engineering, Visvesvaraya National Institute of Technology, South Ambazari Road, Nagpur 440011, Maharashtra (India)
2010-04-15T23:59:59.000Z
This paper presents the hourly mean solar radiation and standard deviation as inputs to simulate the solar radiation over a year. Monte Carlo simulation (MCS) technique is applied and MATLAB program is developed for reliability analysis of small isolated power system using solar photovoltaic (SPV). This paper is distributed in two parts. Firstly various solar radiation prediction methods along with hourly mean solar radiation (HMSR) method are compared. The comparison is carried on the basis of predicted electrical power generation with actual power generated by SPV system. Estimation of solar photovoltaic power using HMSR method is close to the actual power generated by SPV system. The deviation in monsoon months is due to the cloud cover. In later part of the paper various reliability indices are obtained by HMSR method using MCS technique. Load model used is IEEE-RTS. Reliability indices, additional load hours (ALH) and additional power (AP) reduces exponentially with increase in load indicates that a SPV source will offset maximum fuel when all of its generated energy is utilized. Fuel saving calculation is also investigated. Case studies are presented for Sagardeep Island in West Bengal state of India. (author)
Optimizing hourly hydro operations at the Salt Lake City Area integrated projects
Veselka, T.D.; Hamilton, S. [Argonne National Lab., IL (United States); McCoy, J. [Western Area Power Administration, Salt Lake City, UT (United States)
1995-06-01T23:59:59.000Z
The Salt Lake City Area (SLCA) office of the Western Area Power Administration (Western) is responsible for marketing the capacity and energy generated by the Colorado Storage, Collbran, and Rio Grande hydropower projects. These federal resources are collectively called the Salt Lake City Area Integrated Projects (SLCA/IP). In recent years, stringent operational limitations have been placed on several of these hydropower plants including the Glen Canyon Dam, which accounts for approximately 80% of the SLCA/IP resources. Operational limitations on SLCA/IP hydropower plants continue to evolve as a result of decisions currently being made in the Glen Canyon Dam Environmental Impact Statement (EIS) and the Power Marketing EIS. To analyze a broad range of issues associated with many possible future operational restrictions, Argonne National Laboratory (ANL), with technical assistance from Western has developed the Hydro LP (Linear Program) Model. This model simulates hourly operations at SLCA/IP hydropower plants for weekly periods with the objective of maximizing Western`s net revenues. The model considers hydropower operations for the purpose of serving SLCA firm loads, loads for special projects, Inland Power Pool (IPP) spinning reserve requirements, and Western`s purchasing programs. The model estimates hourly SLCA/IP generation and spot market activities. For this paper, hourly SLCA/IP hydropower plant generation is simulated under three operational scenarios and three hydropower conditions. For each scenario an estimate of Western`s net revenue is computed.
A study of ferroresonant series circuits
Ali, Syed Asad
1959-01-01T23:59:59.000Z
for simultaneous o6servation of current and voltage waves. 51 6. 1 Graphical determination of volt-ampere characteristics of ferroresonant series circuit (For low current state). . . . . . -. . 6 ' 2 Graphical determination of' volt-ampere characteristics... of ferroresonant =eries 61 circuit (For high current state) 6. 3 Comparison of calculated and experimental volt-ampere characteristics of ferroresonant series circuit 69 LIST OF TABLES No. Title Page 4. 1 A. C. magneti;ation characteristic and apparent...
Cortes, Corinna
not well understood data regime. A log-linear rescoring framework is used to combine the exemplar-based exemplar-based speech recognition for thousands of hours of unsupervised and noisy data. · As a preliminaryINVESTIGATIONS ON EXEMPLAR-BASED FEATURES FOR SPEECH RECOGNITION TOWARDS THOUSANDS OF HOURS
The Quality of a 48-Hours Wind Power Forecast Using the German and Danish Weather Prediction Model
Heinemann, Detlev
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Broader source: Energy.gov (indexed) [DOE]
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