Final Exam Location and Time. Math 162 Fall 2001. Date: Wednesday December 12, 2001. Time: 7:00 pm -9:00 pm. Location: Lambert Fieldhouse ...
Final Exam Location and Time. Math 161 Fall 2001. Date: Friday December 14, 2001. Time: 8:00 am -10:00 am. Location: Lambert Fieldhouse ...
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.
Commencement Ceremony Department Time Location Department and Major Time Location
Kaji, Hajime
Engineering 15:30 Bldg. 63 Classroom 01 (2nd Fl.) Industrial and Management Systems Engineering 15:30 Bldg. 63 and Management 15:30 Bldg. 63 Classroom 01 (2nd Fl.) Department Time Location Department and Major Time Location:30 Bldg. 57 202 Modern Mechanical Engineering 10:30 Bldg. 57 202 Industrial and Management Systems
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
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
Journal of Combinatorial Theory, Series B 96 (2006) 3849 www.elsevier.com/locate/jctb
Klivans, Caroline J.
2006-01-01T23:59:59.000Z
Journal of Combinatorial Theory, Series B 96 (2006) 3849 www.elsevier.com/locate/jctb The Bergman.1016/j.jctb.2005.06.004 #12;F. Ardila, Caroline J. Klivans / Journal of Combinatorial Theory, Series B 96
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
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 ...
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.
Time-of-flight radio location system
McEwan, T.E.
1996-04-23T23:59:59.000Z
A bi-static radar configuration measures the direct time-of-flight of a transmitted RF pulse and is capable of measuring this time-of-flight with a jitter on the order of about one pico-second, or about 0.01 inch of free space distance for an electromagnetic pulse over a range of about one to ten feet. A transmitter transmits a sequence of electromagnetic pulses in response to a transmit timing signal, and a receiver samples the sequence of electromagnetic pulses with controlled timing in response to a receive timing signal, and generates a sample signal in response to the samples. A timing circuit supplies the transmit timing signal to the transmitter and supplies the receive timing signal to the receiver. The receive timing signal causes the receiver to sample the sequence of electromagnetic pulses such that the time between transmission of pulses in the sequence and sampling by the receiver sweeps over a range of delays. The receive timing signal sweeps over the range of delays in a sweep cycle such that pulses in the sequence are sampled at the pulse repetition rate, and with different delays in the range of delays to produce a sample signal representing magnitude of a received pulse in equivalent time. Automatic gain control circuitry in the receiver controls the magnitude of the equivalent time sample signal. A signal processor analyzes the sample signal to indicate the time-of-flight of the electromagnetic pulses in the sequence. 7 figs.
Time-of-flight radio location system
McEwan, Thomas E. (Livermore, CA)
1996-01-01T23:59:59.000Z
A bi-static radar configuration measures the direct time-of-flight of a transmitted RF pulse and is capable of measuring this time-of-flight with a jitter on the order of about one pico-second, or about 0.01 inch of free space distance for an electromagnetic pulse over a range of about one to ten feet. A transmitter transmits a sequence of electromagnetic pulses in response to a transmit timing signal, and a receiver samples the sequence of electromagnetic pulses with controlled timing in response to a receive timing signal, and generates a sample signal in response to the samples. A timing circuit supplies the transmit timing signal to the transmitter and supplies the receive timing signal to the receiver. The receive timing signal causes the receiver to sample the sequence of electromagnetic pulses such that the time between transmission of pulses in the sequence and sampling by the receiver sweeps over a range of delays. The receive timing signal sweeps over the range of delays in a sweep cycle such that pulses in the sequence are sampled at the pulse repetition rate, and with different delays in the range of delays to produce a sample signal representing magnitude of a received pulse in equivalent time. Automatic gain control circuitry in the receiver controls the magnitude of the equivalent time sample signal. A signal processor analyzes the sample signal to indicate the time-of-flight of the electromagnetic pulses in the sequence.
Time-of-flight radio location system
McEwan, T.E.
1997-08-26T23:59:59.000Z
A bi-static radar configuration measures the direct time-of-flight of a transmitted RF pulse and is capable of measuring this time-of-flight with a jitter on the order of about one pico-second, or about 0.01 inch of free space distance for an electromagnetic pulse over a range of about one to ten feet. A transmitter transmits a sequence of electromagnetic pulses in response to a transmit timing signal, and a receiver samples the sequence of electromagnetic pulses with controlled timing in response to a receive timing signal, and generates a sample signal in response to the samples. A timing circuit supplies the transmit timing signal to the transmitter and supplies the receive timing signal to the receiver. The receive timing signal causes the receiver to sample the sequence of electromagnetic pulses such that the time between transmission of pulses in the sequence and sampling by the receiver sweeps over a range of delays. The receive timing signal sweeps over the range of delays in a sweep cycle such that pulses in the sequence are sampled at the pulse repetition rate, and with different delays in the range of delays to produce a sample signal representing magnitude of a received pulse in equivalent time. Automatic gain control circuitry in the receiver controls the magnitude of the equivalent time sample signal. A signal processor analyzes the sample signal to indicate the time-of-flight of the electromagnetic pulses in the sequence. The sample signal in equivalent time is passed through an envelope detection circuit, formed of an absolute value circuit followed by a low pass filter, to convert the sample signal to a unipolar signal to eliminate effects of antenna misorientation. 8 figs.
Time-of-flight radio location system
McEwan, Thomas E. (Livermore, CA)
1997-01-01T23:59:59.000Z
A bi-static radar configuration measures the direct time-of-flight of a transmitted RF pulse and is capable of measuring this time-of-flight with a jitter on the order of about one pico-second, or about 0.01 inch of free space distance for an electromagnetic pulse over a range of about one to ten feet. A transmitter transmits a sequence of electromagnetic pulses in response to a transmit timing signal, and a receiver samples the sequence of electromagnetic pulses with controlled timing in response to a receive timing signal, and generates a sample signal in response to the samples. A timing circuit supplies the transmit timing signal to the transmitter and supplies the receive timing signal to the receiver. The receive timing signal causes the receiver to sample the sequence of electromagnetic pulses such that the time between transmission of pulses in the sequence and sampling by the receiver sweeps over a range of delays. The receive timing signal sweeps over the range of delays in a sweep cycle such that pulses in the sequence are sampled at the pulse repetition rate, and with different delays in the range of delays to produce a sample signal representing magnitude of a received pulse in equivalent time. Automatic gain control circuitry in the receiver controls the magnitude of the equivalent time sample signal. A signal processor analyzes the sample signal to indicate the time-of-flight of the electromagnetic pulses in the sequence. The sample signal in equivalent time is passed through an envelope detection circuit, formed of an absolute value circuit followed by a low pass filter, to convert the sample signal to a unipolar signal to eliminate effects of antenna misorientation.
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,
Location of Mobile Terminals using Time Measurements and Survey Points
Plataniotis, Konstantinos N.
Location of Mobile Terminals using Time Measurements and Survey Points M. McGuire ,K.N. Plataniotis is the Time Difference of Arrival (TDoA)method where the location of the mobile terminal is estimated using research communityon technologiesthat can estimatethe loca- tion of mobile terminals. Mobile terminal
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 ...
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.
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
2013 Fall Commencement Receptions College/School Time Location
Pittendrigh, Barry
2013 Fall Commencement Receptions College/School Time Location Agriculture 12/15 after ceremony@purdue.edu Nuclear 12/15 11:30-1:00 Nuclear Engineering Bldg, Rm 115 For more info Chrystal Randler (765
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.
Enhancing Location Privacy for Electric Vehicles (at the right time)
International Association for Cryptologic Research (IACR)
Enhancing Location Privacy for Electric Vehicles (at the right time) Joseph K. Liu1 , Man Ho Au2 University of Wollongong, Australia {aau, wsusilo}@uow.edu.au Abstract. An electric vehicle is a promising of electric vehicles at the right time, by proposing an anonymous payment system with privacy protection
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.
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
Engineering and Computing Open Day Programme 2012 Activity Time Location
Berzins, M.
Engineering and Computing Open Day Programme 2012 Activity Time Location Building Number What is Engineering? (Talk) 0900 - 0945 Electronic and Electrical Engineering, Rhodes Lecture Theatre 51 1000 - 1045 EC Stoner Building, School of Computing, Reception (Level 7) 73 Electronic Engineering (Talk) 1000
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...
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.
Math 577 Computational Mathematics I Time and Location: 1:50--3:05 TR, Location E1 242
Fasshauer, Greg
Math 577 Computational Mathematics I Time and Location: 1:50--3:05 TR, Location E1 242 Instructor: Mathematics of Scientific Computing, 3rd Ed, Brooks/Cole (2002), ISBN 0-534-38905-8. Other required material numerical methods for computing eigenvalues and their derivation. 4. Students will understand the basic
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.
TQuEST: Threshold Query Execution for Large Sets of Time Series
Kriegel, Hans-Peter
TQuEST: Threshold Query Execution for Large Sets of Time Series Johannes AÃ?falg, Hans-Peter Kriegel TQuEST, a powerful query processor for time series databases. TQuEST supports a novel but very useful times. 1 Introduction In this paper, we present TQuEST, a powerful analysis tool for time series
Dynamic and Robust Capacitated Facility Location in Time Varying Demand Environments
Torres Soto, Joaquin
2010-07-14T23:59:59.000Z
This dissertation studies models for locating facilities in time varying demand environments. We describe the characteristics of the time varying demand that motivate the analysis of our location models in terms of total demand and the change...
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
RESEARCH Open Access Longitudinal variability of time-location/activity
Leistikow, Bruce N.
/weekend), season (warm/cool), sex, employment status, and over the follow-up period. Results: As expected, day- base (CHAD), which houses time-activity data from a large number of studies, are single-day diaries of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits
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.
Data Fusion of Power and Time Measurements for Mobile Terminal Location
Plataniotis, Konstantinos N.
Data Fusion of Power and Time Measurements for Mobile Terminal Location Michael McGuire, Member Abstract--The location of mobile terminals in cellular networks is an important problem with applications information about mobile terminal location. This paper applies data fusion to combine the information of RSS
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.
New South Wales, University of
UNSW School of Aviation S2-2015 Colloquium Series Location: School of Aviation, Old Main Building September Jim Mitchell UWS Human Factors & Safety Automation in light aircraft: a cross national analysis
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
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
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
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
URL: http://www.elsevier.nl/locate/entcs/volume68.html 18 pages Timed CSP = Closed Timed Automata 1
Ouaknine, JoÃ«l
URL: http://www.elsevier.nl/locate/entcs/volume68.html 18 pages Timed CSP = Closed Timed Automata 1 70118, USA Abstract We study the expressive power of an augmented version of Timed CSP and show constraints. We also show that this new version of Timed CSP is expressive enough to capture the most widely
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
Martin, Katherine C.
2007-01-01T23:59:59.000Z
Due to variations in weather and atmospheric chemistry, the timing and location of nitrogen oxide (NOX) reductions determine their effectiveness in reducing ground-level ozone, which adversely impacts human health. Electric ...
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
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
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.
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/m²] 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
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...
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.
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.
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Frolov, Vladimir; Backhaus, Scott; Chertkov, Misha
2014-10-01T23:59:59.000Z
In a companion manuscript, we developed a novel optimization method for placement, sizing, and operation of Flexible Alternating Current Transmission System (FACTS) devices to relieve transmission network congestion. Specifically, we addressed FACTS that provide Series Compensation (SC) via modification of line inductance. In this manuscript, this heuristic algorithm and its solutions are explored on a number of test cases: a 30-bus test network and a realistically-sized model of the Polish grid (~ 2700 nodes and ~ 3300 lines). The results on the 30-bus network are used to study the general properties of the solutions including non-locality and sparsity. The Polishmore »grid is used as a demonstration of the computational efficiency of the heuristics that leverages sequential linearization of power flow constraints and cutting plane methods that take advantage of the sparse nature of the SC placement solutions. Using these approaches, the algorithm is able to solve an instance of Polish grid in tens of seconds. We explore the utility of the algorithm by analyzing transmission networks congested by (a) uniform load growth, (b) multiple overloaded configurations, and (c) sequential generator retirements.« less
Frolov, Vladimir [Moscow Inst. of Physics and Technology (MIPT), Moscow (Russian Federation); Backhaus, Scott N. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Chertkov, Michael [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
2014-01-14T23:59:59.000Z
We explore optimization methods for planning the placement, sizing and operations of Flexible Alternating Current Transmission System (FACTS) devices installed to relieve transmission grid congestion. We limit our selection of FACTS devices to Series Compensation (SC) devices that can be represented by modification of the inductance of transmission lines. Our master optimization problem minimizes the l_{1} norm of the inductance modification subject to the usual line thermal-limit constraints. We develop heuristics that reduce this non-convex optimization to a succession of Linear Programs (LP) which are accelerated further using cutting plane methods. The algorithm solves an instance of the MatPower Polish Grid model (3299 lines and 2746 nodes) in 40 seconds per iteration on a standard laptop—a speed up that allows the sizing and placement of a family of SC devices to correct a large set of anticipated congestions. We observe that our algorithm finds feasible solutions that are always sparse, i.e., SC devices are placed on only a few lines. In a companion manuscript, we demonstrate our approach on realistically-sized networks that suffer congestion from a range of causes including generator retirement. In this manuscript, we focus on the development of our approach, investigate its structure on a small test system subject to congestion from uniform load growth, and demonstrate computational efficiency on a realistically-sized network.
Frolov, Vladimir [Moscow Inst. of Physics and Technology (MIPT), Moscow (Russian Federation); Backhaus, Scott N. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Chertkov, Michael [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
2014-01-14T23:59:59.000Z
In a companion manuscript, we developed a novel optimization method for placement, sizing, and operation of Flexible Alternating Current Transmission System (FACTS) devices to relieve transmission network congestion. Specifically, we addressed FACTS that provide Series Compensation (SC) via modification of line inductance. In this manuscript, this heuristic algorithm and its solutions are explored on a number of test cases: a 30-bus test network and a realistically-sized model of the Polish grid (~2700 nodes and ~3300 lines). The results on the 30-bus network are used to study the general properties of the solutions including non-locality and sparsity. The Polish grid is used as a demonstration of the computational efficiency of the heuristics that leverages sequential linearization of power flow constraints and cutting plane methods that take advantage of the sparse nature of the SC placement solutions. Using these approaches, the algorithm is able to solve an instance of Polish grid in tens of seconds. We explore the utility of the algorithm by analyzing transmission networks congested by (a) uniform load growth, (b) multiple overloaded configurations, and (c) sequential generator retirements
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.
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.
Jeyapaul, Anand
1992-01-01T23:59:59.000Z
to Real-Time Information. (December 1992) Anand Jeyapaul, B. Tech. , Indian Institute of Technology Chair of Advisory Committee: Dr. Conrad L. Dudek A work-based telephone survey of commuters in Dallas was done primarily to study if the motorists... such as age, sex, average travel time, and importance of arriving at work on time. Using the survey, motorist time savings values were obtained for four hypothetical radio traffic advisory messages, designed to vary alternative route and congestion location...
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)
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.
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.
UCF Human Resources Procedure Break Times and Locations for Nursing Mothers
Wu, Shin-Tson
-workers, the public, or security cameras. The room should be sanitary, located near a sink with running water The Patient Protection and Affordable Care Act (PPACA) amended Section 7 of the Fair Labor Standards Act (FLSA
The prediction of bus arrival time using Automatic Vehicle Location Systems data
Jeong, Ran Hee
2005-02-17T23:59:59.000Z
Model and Real-time Service Model................................................187 6.4 CONCLUDING REMARKS.......................................................................189 VII CONCLUSIONS... (Weekday Evening) ........................................................182 FIGURE 6-19 Process of Real-Time Prediction.........................................................184 FIGURE 6-20 Real-time Prediction Model vs. Real-time Service...
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.
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...
Cerveny, Vlastislav
Lomax, and Aldo Zollo Abstract An effective early-warning system must provide probabilistic estimates. With an early-warning system, alarm mes- sages could be sent to critical sites in Naples 20 or more secondsReal-Time Evolutionary Earthquake Location for Seismic Early Warning by Claudio Satriano, Anthony
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.
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
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...
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%.
ECE Seminar Series Time and Location: Monday, Apr. 7, 2014 at 2pm in Engr. B103
: Fundamentals of Energy-Efficiency in Delay-Sensitive Wireless Communications Abstract: Mobile video traffic, and energy-efficient communication under statistical delay constraints. In this talk, we present results theory, synchronization, channel coding, energy efficient communications, power line communications
Sussex, University of
of offshore wind in Germany SPRU Thurs. 10th April 13.00-14.30 IDS convening space Ed Brown (Loughborough) TBD
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
Paris-Sud XI, Université de
for the prevention of dynamic phenomena is an integral part of a strategy for exploring zones where there are risks, and the mine layout, all playing a significant contribution to the rate of seismic energy released. In order, powerfui Software has been installed in order to provide for high quality, real time microseismic
Differentiating location-and distance-based processes in memory for time
Curran, Tim
University of Colorado, Boulder, Colorado and WILLIAM J. FRIEDMAN Oberlin College, Oberlin, Ohio Memory and the reaction time pattern validated our experimental ma- nipulation. Late (8001,800 msec) frontal ERP effects of human memory, and one that has been used as a defining feature of episodic memory (e.g., Wheeler, Stuss
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...
Geospatial analysis of vulnerable beach-foredune systems from decadal time series of lidar data
Mitasova, Helena
to quantify elevation change trends, map dynamic and stable locations, identify new and lost buildings surface elevation, and homes built within the shoreline dynamics band have already been lost. The raster 2003), including assessment of major storm and hurricane impacts (Sallenger et al. 2006). The high
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
Focusing Waves at Arbitrary Locations in a Ray-Chaotic Enclosure Using Time-Reversed Synthetic Sonas
Bo Xiao; Thomas M. Antonsen; Edward Ott; Steven M. Anlage
2015-06-30T23:59:59.000Z
Time reversal methods are widely used to achieve wave focusing in acoustics and electromagnetics. A typical time reversal experiment requires that a transmitter be initially present at the target focusing point, which limits the application of this technique. In this paper, we propose a method to focus waves at an arbitary location inside a complex enclosure using a numerically calculated wave excitation signal. We use a semi-classical ray algorithm to calculate the signal that would be received at a transceiver port resulting from the injection of a short pulse at the desired target location. The time-reversed version of this signal is then injected into the transceiver port and an approximate reconstruction of the short pulse is created at the target. The quaility of the pulse reconstruction is quantified in three different ways and the values of these metrics are predicted by the statistics of the scattering-parameter $|S_{21}|^2$ between the transceiver and target points in the enclosure. We experimentally demonstrate the method using a flat microwave billiard and quantify the reconstruction quality as a function of enclosure loss, port coupling and other considerations.
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.
de Weck, Olivier L.
Implementing a Time- and Location-Differentiated Cap-and-Trade Program: Flexible Nitrogen Oxide Abatement from Power Plants in the Eastern United States by Katherine C. Martin B.A., Physics Reed College #12;4 #12;Implementing a Time- and Location-Differentiated Cap-and-Trade Program: Flexible Nitrogen
Mitchell, Christopher J [Los Alamos National Laboratory; Ahrens, James P [Los Alamos National Laboratory; Wang, Jun [UCF
2010-10-15T23:59:59.000Z
Petascale simulations compute at resolutions ranging into billions of cells and write terabytes of data for visualization and analysis. Interactive visuaUzation of this time series is a desired step before starting a new run. The I/O subsystem and associated network often are a significant impediment to interactive visualization of time-varying data; as they are not configured or provisioned to provide necessary I/O read rates. In this paper, we propose a new I/O library for visualization applications: VisIO. Visualization applications commonly use N-to-N reads within their parallel enabled readers which provides an incentive for a shared-nothing approach to I/O, similar to other data-intensive approaches such as Hadoop. However, unlike other data-intensive applications, visualization requires: (1) interactive performance for large data volumes, (2) compatibility with MPI and POSIX file system semantics for compatibility with existing infrastructure, and (3) use of existing file formats and their stipulated data partitioning rules. VisIO, provides a mechanism for using a non-POSIX distributed file system to provide linear scaling of 110 bandwidth. In addition, we introduce a novel scheduling algorithm that helps to co-locate visualization processes on nodes with the requested data. Testing using VisIO integrated into Para View was conducted using the Hadoop Distributed File System (HDFS) on TACC's Longhorn cluster. A representative dataset, VPIC, across 128 nodes showed a 64.4% read performance improvement compared to the provided Lustre installation. Also tested, was a dataset representing a global ocean salinity simulation that showed a 51.4% improvement in read performance over Lustre when using our VisIO system. VisIO, provides powerful high-performance I/O services to visualization applications, allowing for interactive performance with ultra-scale, time-series data.
Time-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.
Martin, Katherine C
2007-01-01T23:59:59.000Z
Studies suggest that timing and location of emissions can change the amount of ozone formed from a given amount of nitrogen oxide (NOx) by a factor of five (Mauzerall et al. 2005). Yet existing NOx cap-and-trade programs ...
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.
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)
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.
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...
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
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.
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
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
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 ...
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.
Real time sensor for therapeutic radiation delivery
Bliss, M.; Craig, R.A.; Reeder, P.L.
1998-01-06T23:59:59.000Z
The invention is a real time sensor for therapeutic radiation. A probe is placed in or near the patient that senses in real time the dose at the location of the probe. The strength of the dose is determined by either an insertion or an exit probe. The location is determined by a series of vertical and horizontal sensing elements that gives the operator a real time read out dose location relative to placement of the patient. The increased accuracy prevents serious tissue damage to the patient by preventing overdose or delivery of a dose to a wrong location within the body. 14 figs.
Real time sensor for therapeutic radiation delivery
Bliss, Mary (West Richland, WA); Craig, Richard A. (West Richland, WA); Reeder, Paul L. (Richland, WA)
1998-01-01T23:59:59.000Z
The invention is a real time sensor for therapeutic radiation. A probe is placed in or near the patient that senses in real time the dose at the location of the probe. The strength of the dose is determined by either an insertion or an exit probe. The location is determined by a series of vertical and horizontal sensing elements that gives the operator a real time read out dose location relative to placement of the patient. The increased accuracy prevents serious tissue damage to the patient by preventing overdose or delivery of a dose to a wrong location within the body.
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
Location logistics of industrial facilities
Hammack, William Eugene
1981-01-01T23:59:59.000Z
the process to move more qu1ckly and be more cost effect1ve. As can be seen from this process, there are a series of checks and balances. These controls serve to keep only legitimate requests before the selection team and are used at progressive steps... Introduction Review and Evaluation . Regional Location . Market and Supply Areas . Interdependence . Climate . Population Transportation Economic Environment of the Community LABOR Introduction Availability of a Suitable Work Force Work Attitudes...
Analysis of the AirTouch automatic vehicle location system's ability to locate moving vehicles
Henry, Tracy Lynn
1995-01-01T23:59:59.000Z
Automatic vehicle location systems are becoming more prevalent in diverse transportation applications. Their ability to locate vehicles can assist in locating emergency and public transit vehicles for better real-time dispatching as well...
Analysis of the AirTouch automatic vehicle location system's ability to locate moving vehicles
Henry, Tracy Lynn
1995-01-01T23:59:59.000Z
Automatic vehicle location systems are becoming more prevalent in diverse transportation applications. Their ability to locate vehicles can assist in locating emergency and public transit vehicles for better real-time dispatching as well...
Road Vehicles 10:15 to 10:30 AM BA2139 CSME Internal Combustion Engine Modelling with Multibody of Waterloo Advanced Energy Systems 4:45 to 5:05 PM BA1180 CSME Simulation of Water Transport Through Road Vehicles 10:30 to 10:45 AM BA2139 CSME Driver-Software-in-the-Loop Real-Time Simulations
Locative Inversion In Cantonese
Mok, Sui-Sang
1992-01-01T23:59:59.000Z
This paper proposes that locative inversion is a widespread syntactic process in Cantonese. The sentence-initial locative phrases in the Locative Inversion sentences are argued to be subjects which come from the postverbal complement position...
Efficient Algorithm for Locating and Sizing Series Compensation Devices in
Office of Scientific and Technical Information (OSTI)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,SeparationConnect Journal Article: Discrete phase space based(Journal Article)Carbon(JournalConnectLarge
Efficient Algorithm for Locating and Sizing Series Compensation Devices in
Office of Scientific and Technical Information (OSTI)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,SeparationConnect Journal Article: Discrete phase space based(Journal
Library Locations Locations other than Main Library
Library Locations Locations other than Main Library Example: Feminist Studies HQ1410 .U54 2009 University of California, Santa Barbara Library www.library.ucsb.edu Updated 3-2014 A - B.......................................6 Central M - N..................................................Arts Library (Music Building) P
Method for tracking the location of mobile agents using stand-off detection technique
Schmitt, Randal L. (Tijeras, NM); Bender, Susan Fae Ann (Tijeras, NM); Rodacy, Philip J. (Albuquerque, NM); Hargis, Jr., Philip J. (Albuquerque, NM); Johnson, Mark S. (Albuquerque, NM)
2006-12-26T23:59:59.000Z
A method for tracking the movement and position of mobile agents using light detection and ranging (LIDAR) as a stand-off optical detection technique. The positions of the agents are tracked by analyzing the time-history of a series of optical measurements made over the field of view of the optical system. This provides a (time+3-D) or (time+2-D) mapping of the location of the mobile agents. Repeated pulses of a laser beam impinge on a mobile agent, such as a bee, and are backscattered from the agent into a LIDAR detection system. Alternatively, the incident laser pulses excite fluorescence or phosphorescence from the agent, which is detected using a LIDAR system. Analysis of the spatial location of signals from the agents produced by repeated pulses generates a multidimensional map of agent location.
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
MOBILE DEVICE LOCATION INFORMATION ACQUISITION FRAMEWORK FOR DEVELOPMENT OF LOCATION
Dustdar, Schahram
MOBILE DEVICE LOCATION INFORMATION ACQUISITION FRAMEWORK FOR DEVELOPMENT OF LOCATION INFORMATION, 1040 Vienna, Austria dustdar@infosys.tuwien.ac.at Keywords: Mobile device location information, location information based services, location information acquisition. Abstract: Mobile device location
Method of locating underground mines fires
Laage, Linneas (Eagam, MN); Pomroy, William (St. Paul, MN)
1992-01-01T23:59:59.000Z
An improved method of locating an underground mine fire by comparing the pattern of measured combustion product arrival times at detector locations with a real time computer-generated array of simulated patterns. A number of electronic fire detection devices are linked thru telemetry to a control station on the surface. The mine's ventilation is modeled on a digital computer using network analysis software. The time reguired to locate a fire consists of the time required to model the mines' ventilation, generate the arrival time array, scan the array, and to match measured arrival time patterns to the simulated patterns.
SPEAKERS, TITLES, TIMES and LOCATIONS Plenary Talks
2012-06-20T23:59:59.000Z
Jun 18, 2012 ... 5 David Colton, Transmission Eigenvalues and Inverse Scattering Theory, Thursday, 11:00–. 11:45. 6 Allan Greenleaf, Can there be a general ...
Date Time Event Description/Participants Location
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 The files belowgraduateDOETechnologiesData ToolsUpdated:
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
Thompson, Michael
and Repair S. Chidiac Mondays 9:00 a.m. - 12:00 noon ETB-534 CIV ENG 761 Graduate Seminar Series - Masters and Repair S. Chidiac Mondays 9:00 a.m. - 12:00 noon ETB-534 CIV ENG 761 Graduate Seminar Series - Masters
Reversible micromachining locator
Salzer, L.J.; Foreman, L.R.
1999-08-31T23:59:59.000Z
This invention provides a device which includes a locator, a kinematic mount positioned on a conventional tooling machine, a part carrier disposed on the locator and a retainer ring. The locator has disposed therein a plurality of steel balls, placed in an equidistant position circumferentially around the locator. The kinematic mount includes a plurality of magnets which are in registry with the steel balls on the locator. In operation, a blank part to be machined is placed between a surface of a locator and the retainer ring (fitting within the part carrier). When the locator (with a blank part to be machined) is coupled to the kinematic mount, the part is thus exposed for the desired machining process. Because the locator is removably attachable to the kinematic mount, it can easily be removed from the mount, reversed, and reinserted onto the mount for additional machining. Further, the locator can likewise be removed from the mount and placed onto another tooling machine having a properly aligned kinematic mount. Because of the unique design and use of magnetic forces of the present invention, positioning errors of less than 0.25 micrometer for each machining process can be achieved. 7 figs.
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.
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
Weiss, Jonathan D. (Albuquerque, NM)
1995-01-01T23:59:59.000Z
A shock velocity and damage location sensor providing a means of measuring shock speed and damage location. The sensor consists of a long series of time-of-arrival "points" constructed with fiber optics. The fiber optic sensor apparatus measures shock velocity as the fiber sensor is progressively crushed as a shock wave proceeds in a direction along the fiber. The light received by a receiving means changes as time-of-arrival points are destroyed as the sensor is disturbed by the shock. The sensor may comprise a transmitting fiber bent into a series of loops and fused to a receiving fiber at various places, time-of-arrival points, along the receiving fibers length. At the "points" of contact, where a portion of the light leaves the transmitting fiber and enters the receiving fiber, the loops would be required to allow the light to travel backwards through the receiving fiber toward a receiving means. The sensor may also comprise a single optical fiber wherein the time-of-arrival points are comprised of reflection planes distributed along the fibers length. In this configuration, as the shock front proceeds along the fiber it destroys one reflector after another. The output received by a receiving means from this sensor may be a series of downward steps produced as the shock wave destroys one time-of-arrival point after another, or a nonsequential pattern of steps in the event time-of-arrival points are destroyed at any point along the sensor.
Weiss, J.D.
1995-08-29T23:59:59.000Z
A shock velocity and damage location sensor providing a means of measuring shock speed and damage location is disclosed. The sensor consists of a long series of time-of-arrival ``points`` constructed with fiber optics. The fiber optic sensor apparatus measures shock velocity as the fiber sensor is progressively crushed as a shock wave proceeds in a direction along the fiber. The light received by a receiving means changes as time-of-arrival points are destroyed as the sensor is disturbed by the shock. The sensor may comprise a transmitting fiber bent into a series of loops and fused to a receiving fiber at various places, time-of-arrival points, along the receiving fibers length. At the ``points`` of contact, where a portion of the light leaves the transmitting fiber and enters the receiving fiber, the loops would be required to allow the light to travel backwards through the receiving fiber toward a receiving means. The sensor may also comprise a single optical fiber wherein the time-of-arrival points are comprised of reflection planes distributed along the fibers length. In this configuration, as the shock front proceeds along the fiber it destroys one reflector after another. The output received by a receiving means from this sensor may be a series of downward steps produced as the shock wave destroys one time-of-arrival point after another, or a nonsequential pattern of steps in the event time-of-arrival points are destroyed at any point along the sensor. 6 figs.
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 . . . . . . . . . . . . . . . . . . .
Locating Heat Recovery Opportunities
Waterland, A. F.
1981-01-01T23:59:59.000Z
Basic concepts of heat recovery are defined as they apply to the industrial community. Methods for locating, ranking, and developing heat recovery opportunities are presented and explained. The needs for useful heat 'sinks' are emphasized as equal...
Mankins, Matthew William David, 1975-
2003-01-01T23:59:59.000Z
This work builds an infrastructure called Location Linked Information that offers a means to associate digital information with public, physical places. This connection creates a hybrid virtual/physical space, called glean ...
Locating Heat Recovery Opportunities
Waterland, A. F.
1981-01-01T23:59:59.000Z
Basic concepts of heat recovery are defined as they apply to the industrial community. Methods for locating, ranking, and developing heat recovery opportunities are presented and explained. The needs for useful heat 'sinks' are emphasized as equal...
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 ...
Location-Based Events Detection on Micro-Blogs
Santos, Augusto Dias Pereira dos; Alvares, Luis Otavio
2012-01-01T23:59:59.000Z
The increasing use of social networks generates enormous amounts of data that can be used for many types of analysis. Some of these data have temporal and geographical information, which can be used for comprehensive examination. In this paper, we propose a new method to analyze the massive volume of messages available in Twitter to identify places in the world where topics such as TV shows, climate change, disasters, and sports are emerging. The proposed method is based on a neural network that is used to detect outliers from a time series, which is built upon statistical data from tweets located on different political divisions (i.e., countries, cities). The outliers are used to identify topics within an abnormal behavior in Twitter. The effectiveness of our method is evaluated in an online environment indicating new findings on modeling local people's behavior from different places.
Short range radio locator system
McEwan, T.E.
1996-12-31T23:59:59.000Z
A radio location system comprises a wireless transmitter that outputs two megahertz period bursts of two gigahertz radar carrier signals. A receiver system determines the position of the transmitter by the relative arrival of the radar bursts at several component receivers set up to have a favorable geometry and each one having a known location. One receiver provides a synchronizing gating pulse to itself and all the other receivers. The rate of the synchronizing gating pulse is slightly offset from the rate of the radar bursts themselves, so that each sample collects one finely-detailed piece of information about the time-of-flight of the radar pulse to each receiver each pulse period. Thousands of sequential pulse periods provide corresponding thousand of pieces of information about the time-of-flight of the radar pulse to each receiver, in expanded, not real time. Therefore the signal processing can be done with relatively low-frequency, inexpensive components. A conventional microcomputer is then used to find the position of the transmitter by geometric triangulation based on the relative time-of-flight information. 5 figs.
Short range radio locator system
McEwan, Thomas E. (Livermore, CA)
1996-01-01T23:59:59.000Z
A radio location system comprises a wireless transmitter that outputs two megahertz period bursts of two gigahertz radar carrier signals. A receiver system determines the position of the transmitter by the relative arrival of the radar bursts at several component receivers set up to have a favorable geometry and each one having a known location. One receiver provides a synchronizing gating pulse to itself and all the other receivers to sample the ether for the radar pulse. The rate of the synchronizing gating pulse is slightly offset from the rate of the radar bursts themselves, so that each sample collects one finely-detailed piece of information about the time-of-flight of the radar pulse to each receiver each pulse period. Thousands of sequential pulse periods provide corresponding thousand of pieces of information about the time-of-flight of the radar pulse to each receiver, in expanded, not real time. Therefore the signal processing can be done with relatively low-frequency, inexpensive components. A conventional microcomputer is then used to find the position of the transmitter by geometric triangulation based on the relative time-of-flight information.
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.
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
King, Paul E. (Corvallis, OR); Woodside, Charles Rigel (Corvallis, OR)
2012-02-07T23:59:59.000Z
The disclosure herein provides an apparatus for location of a quantity of current vectors in an electrical device, where the current vector has a known direction and a known relative magnitude to an input current supplied to the electrical device. Mathematical constants used in Biot-Savart superposition equations are determined for the electrical device, the orientation of the apparatus, and relative magnitude of the current vector and the input current, and the apparatus utilizes magnetic field sensors oriented to a sensing plane to provide current vector location based on the solution of the Biot-Savart superposition equations. Description of required orientations between the apparatus and the electrical device are disclosed and various methods of determining the mathematical constants are presented.
Knezev, Maja
2009-05-15T23:59:59.000Z
are triggered. Protection system consisting of protection relays and circuit breakers (CBs) will operate in order to de-energize faulted line. Different Intelligent Electronic Devices (IEDs) located in substations for the purpose of monitoring... in the control center by an operator who will mark fault event in a spreadsheet and inform other staff responsible for dealing with fault analysis and repair such as protection group or maintenance respectively. Protective relaying staff will be ready...
Knezev, Maja
2008-10-10T23:59:59.000Z
are triggered. Protection system consisting of protection relays and circuit breakers (CBs) will operate in order to de-energize faulted line. Different Intelligent Electronic Devices (IEDs) located in substations for the purpose of monitoring... in the control center by an operator who will mark fault event in a spreadsheet and inform other staff responsible for dealing with fault analysis and repair such as protection group or maintenance respectively. Protective relaying staff will be ready...
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 ...
Unknown
2011-09-05T23:59:59.000Z
-1 THE PREDICTION OF BUS ARRIVAL TIME USING AUTOMATIC VEHICLE LOCATION SYSTEMS DATA A Dissertation by RAN HEE JEONG Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree... of DOCTOR OF PHILOSOPHY December 2004 Major Subject: Civil Engineering THE PREDICTION OF BUS ARRIVAL TIME USING AUTOMATIC VEHICLE LOCATION SYSTEMS DATA A Dissertation by RAN HEE JEONG Submitted to Texas A...
Clean Cities: Coalition Locations
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) |govInstrumentsmfrirt DocumentationSitesWeather6 Shares of U.S.CareerPASTChemistry andPhysics LabClaytonLocations Clean
Condensing Heating and Water Heating Equipment Workshop Location...
Condensing Heating and Water Heating Equipment Workshop Location: Washington Gas Light Appliance Training Facility 6801 Industrial Road Springfield, VA Date: October 9, 2014 Time:...
Machel, Hans
110. Location efficiency Discovering the hidden transportation costs of where you live page 1 / 1 110. Location efficiency: Discovering the hidden transportation costs of where you live Live location efficiency and it's the amount of time, energy and greenhouse gas emissions you spend getting
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
The Cricket indoor location system
Priyantha, Nissanka Bodhi, 1968-
2005-01-01T23:59:59.000Z
Indoor environments present opportunities for a rich set of location-aware applications such as navigation tools for humans and robots, interactive virtual games, resource discovery, asset tracking, location-aware sensor ...
Novel techniques for fault location, voltage profile calculation and visualization of transients
Evrenosoglu, Cansin Yaman
2009-05-15T23:59:59.000Z
This dissertation addresses three different problems in power systems. The first problem is related to the fault location in complex topologies such as three terminal circuits with series compensation and mutually coupled line sections...
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.
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
Utility Locating in the DOE Environment
Clark Scott; Gail Heath
2006-04-01T23:59:59.000Z
Some advances have been made in utility locating in recent years and standards have been recently published to try and categorize the level of information known about the utility in the subsurface. At the same time some characterization about the level of effort or technology in the geophysicist approach to utility locating may be generalized. The DOE environment poses some added difficulties and this presentation covers these issues, costs and the technical approach that has been developed at the INEEL to prevent utility hits and how it fits into the generalized classification of effort.
VCSEL fault location apparatus and method
Keeler, Gordon A. (Albuquerque, NM); Serkland, Darwin K. (Albuquerque, NM)
2007-05-15T23:59:59.000Z
An apparatus for locating a fault within an optical fiber is disclosed. The apparatus, which can be formed as a part of a fiber-optic transmitter or as a stand-alone instrument, utilizes a vertical-cavity surface-emitting laser (VCSEL) to generate a test pulse of light which is coupled into an optical fiber under test. The VCSEL is subsequently reconfigured by changing a bias voltage thereto and is used as a resonant-cavity photodetector (RCPD) to detect a portion of the test light pulse which is reflected or scattered from any fault within the optical fiber. A time interval .DELTA.t between an instant in time when the test light pulse is generated and the time the reflected or scattered portion is detected can then be used to determine the location of the fault within the optical fiber.
Goldstein, S.J.; Abdel-Fattah, A.I.; Murrell, M.T.; Dobson, P.F.; Norman, D.E.; Amato, R.S.; Nunn, A. J.
2009-10-01T23:59:59.000Z
Uranium-series data for groundwater samples from the Nopal I uranium ore deposit were obtained to place constraints on radionuclide transport and hydrologic processes for a nuclear waste repository located in fractured, unsaturated volcanic tuff. Decreasing uranium concentrations for wells drilled in 2003 are consistent with a simple physical mixing model that indicates that groundwater velocities are low ({approx}10 m/y). Uranium isotopic constraints, well productivities, and radon systematics also suggest limited groundwater mixing and slow flow in the saturated zone. Uranium isotopic systematics for seepage water collected in the mine adit show a spatial dependence which is consistent with longer water-rock interaction times and higher uranium dissolution inputs at the front adit where the deposit is located. Uranium-series disequilibria measurements for mostly unsaturated zone samples indicate that {sup 230}Th/{sup 238}U activity ratios range from 0.005-0.48 and {sup 226}Ra/{sup 238}U activity ratios range from 0.006-113. {sup 239}Pu/{sup 238}U mass ratios for the saturated zone are <2 x 10{sup -14}, and Pu mobility in the saturated zone is >1000 times lower than the U mobility. Saturated zone mobility decreases in the order {sup 238}U{approx}{sup 226}Ra > {sup 230}Th{approx}{sup 239}Pu. Radium and thorium appear to have higher mobility in the unsaturated zone based on U-series data from fractures and seepage water near the deposit.
Hiding Location Information from Location-Based Services
Hengartner, Urs
that the architecture is powerful enough to support existing location- based services. Our architecture exploits Trusted-specific information is being accessed. I. INTRODUCTION The ubiquity of cellphones has lead to the introduction of a cellphone user (e.g., directions to a target location or a list of interesting, nearby places). Another
Location Management for Mobile Devices
Wilde, Erik
2008-01-01T23:59:59.000Z
general, and wireless and mobile devices in particular. Thelocation-enabled mobile devices and location-based services.information from mobile devices and making it available to
Stone, W.J.
1983-10-31T23:59:59.000Z
A zero-home locator includes a fixed phototransistor switch and a moveable actuator including two symmetrical, opposed wedges, each wedge defining a point at which switching occurs. The zero-home location is the average of the positions of the points defined by the wedges.
Guide to the Library Locations
Massachusetts at Amherst, University of
Guide to the Libraries #12;Library Locations W.E.B. DU BOIS LIBRARY www.library.umass.edu 154 Hicks Way (413) 545-0150, (413) 545-2622 The Du Bois Library is the primary location for resources in education, geography, the humanities and fine arts, nursing, management, medicine, public health, and social
Mobile Alternative Fueling Station Locator
Not Available
2009-04-01T23:59:59.000Z
The Department of Energy's Alternative Fueling Station Locator is available on-the-go via cell phones, BlackBerrys, or other personal handheld devices. The mobile locator allows users to find the five closest biodiesel, electricity, E85, hydrogen, natural gas, and propane fueling sites using Google technology.
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
Energy Storage Demonstration Project Locations | Department of...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Energy Storage Demonstration Project Locations Energy Storage Demonstration Project Locations Map of the United States showing the location of Energy Storage Demonstration projects...
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 ...
Mohd, Shukri [Nondestructive Testing Group, Industrial Technology Division, Malaysian Nuclear Agency, 43000, Bangi, Selangor (Malaysia); Holford, Karen M.; Pullin, Rhys [Cardiff School of Engineering, Cardiff University, Queen's Buildings, The Parade, CARDIFF CF24 3AA (United Kingdom)
2014-02-12T23:59:59.000Z
Source location is an important feature of acoustic emission (AE) damage monitoring in nuclear piping. The ability to accurately locate sources can assist in source characterisation and early warning of failure. This paper describe the development of a novelAE source location technique termed 'Wavelet Transform analysis and Modal Location (WTML)' based on Lamb wave theory and time-frequency analysis that can be used for global monitoring of plate like steel structures. Source location was performed on a steel pipe of 1500 mm long and 220 mm outer diameter with nominal thickness of 5 mm under a planar location test setup using H-N sources. The accuracy of the new technique was compared with other AE source location methods such as the time of arrival (TOA) techniqueand DeltaTlocation. Theresults of the study show that the WTML method produces more accurate location resultscompared with TOA and triple point filtering location methods. The accuracy of the WTML approach is comparable with the deltaT location method but requires no initial acoustic calibration of the structure.
Barr, R.A. [Electric Power Consulting Pty Ltd., Culburra Beach, New South Wales (Australia)] [Electric Power Consulting Pty Ltd., Culburra Beach, New South Wales (Australia); Platt, D. [Univ. of Wollongong, New South Wales (Australia). Dept. of Electrical and Computer Engineering] [Univ. of Wollongong, New South Wales (Australia). Dept. of Electrical and Computer Engineering
1996-04-01T23:59:59.000Z
Series capacitors can increase the power carrying capacity of subtransmission and distribution lines by reducing voltage regulation. The potential exists in selected locations for utilities to both improve the customer quality of supply and increase the supply capacity. The possibility of ferroresonance and effective countermeasures to ferroresonance are important issues that need to be carefully considered at the design stage. Other design issues are capacitor location, ohmic reactive value, transient behavior, short circuit withstand and capacitor protection. Ferroresonance can cause severe overvoltages and heavy currents resulting in damage to power system equipment and customer installations. This paper describes a ferroresonance model incorporating both time domain and frequency domain techniques. The ferroresonance model is used to map the possible ferroresonant states. A small scale laboratory non-linear ferroresonant circuit was constructed with the experimental results comparing favorably with the predicted model behavior. For series compensated lines and other circuit arrangements, the ferroresonance model allows the prediction of ferroresonant states and the examination of counter measures.
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...
A Polynomial Time Coincidence Detector for Multifacility Location Problems
Fliege, JÃ¶rg
], computing the statics of spring systems [32], li* *mit load analysis [6, 3], etc. It has been observed that at optimal solutions clusters of facilities frequ* *ently tend to coincide, i.e. they share. Other computational methods in the continuous setting are the Partial Inver* *se
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
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
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
Lehmer, Larisa M; Ragsdale, Bruce D
2011-01-01T23:59:59.000Z
21 ]. Dermatofibrosarcoma protuberans (DFSP) is a locally23 ]. Histologically, DFSP are CD34-positive, factor XIIIa-and dermatofibrosarcoma protuberans (DFSP). Leiomyosarcoma
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...
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...
Joint microseismic event location with uncertain velocity
Poliannikov, Oleg V.
2013-01-01T23:59:59.000Z
We study the problem of the joint location of seismic events using an array of receivers. We show that locating multiple seismic events simultaneously is advantageous compared to the more traditional approaches of locating ...
Selecting the Content of Textual Descriptions of Geographically Located
Reiter, Ehud
2003a], has been applied to produce summaries of time series data in the weather, gas turbine-temporal data. #12;In the RoadSafe project our long term goal is to generate textual weather forecasts Generation (NLG) techniques to generate textual summaries of spatio- temporal numerical weather prediction
Expansion analyses of strategic petroleum reserve in Bayou Choctaw : revised locations.
Ehgartner, Brian L.; Park, Byoung Yoon
2010-11-01T23:59:59.000Z
This report summarizes a series of three-dimensional simulations for the Bayou Choctaw Strategic Petroleum Reserve. The U.S. Department of Energy plans to leach two new caverns and convert one of the existing caverns within the Bayou Choctaw salt dome to expand its petroleum reserve storage capacity. An existing finite element mesh from previous analyses is modified by changing the locations of two caverns. The structural integrity of the three expansion caverns and the interaction between all the caverns in the dome are investigated. The impacts of the expansion on underground creep closure, surface subsidence, infrastructure, and well integrity are quantified. Two scenarios were used for the duration and timing of workover conditions where wellhead pressures are temporarily reduced to atmospheric pressure. The three expansion caverns are predicted to be structurally stable against tensile failure for both scenarios. Dilatant failure is not expected within the vicinity of the expansion caverns. Damage to surface structures is not predicted and there is not a marked increase in surface strains due to the presence of the three expansion caverns. The wells into the caverns should not undergo yield. The results show that from a structural viewpoint, the locations of the two newly proposed expansion caverns are acceptable, and all three expansion caverns can be safely constructed and operated.
Asymptotic analysis of an optimal location problem
2003-05-13T23:59:59.000Z
Asymptotic analysis of an optimal location problem. One considers the problem of optimal location of masses(say production centers) in order to approximate a ...
Energy Department Launches Alternative Fueling Station Locator...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Energy Department Launches Alternative Fueling Station Locator App Energy Department Launches Alternative Fueling Station Locator App November 7, 2013 - 11:16am Addthis As part of...
WINDExchange: School Wind Project Locations
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 onsource History View NewUS National FuelYancey County, North Carolina:text HomeSchool Wind Project Locations This map
Farque, J.A. (C.D.I., Broken Arrow, OK (United States))
1994-01-01T23:59:59.000Z
Magnetic transmission systems work well in conjunction with pipe line pigging. They have transmission characteristics that allow an operator to track a pig as it moves through the line with one antenna orientation, and locate a stationary pig and transmitter to within inches with another. Advanced systems offer pig run documentation features by recording the images of transmitter passages and their times and dates. These features will become increasingly important to pipe line owners and operators in the future as the EPA tightens its grip on the pipe line and gas industries. Additionally, pigging personnel with no real experience with the tracking or location of pigs can operate a magnetic system and be immediately productive. This lowers the overall cost to the service company, the pipe line owner, and ultimately the end user of the product.
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
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
Explores Dam Removal Located in Southwest Ohio, Buck Creek and its
Bogaerts, Steven
OHIO Researcher Explores Dam Removal Located in Southwest Ohio, Buck Creek and its tributary, Beaver Creek, run through a series of low-head dams in Springfield, Ohio. Historically, the four dams of the four dams. This will help restore the natural flow of sediments and fish along the entire river
Hanford Single-Shell Tank Leak Causes and Locations - 241-B Farm
Girardot, Crystal L. [Washington River Protection Systems, Richland, WA (United States); Harlow, Donald G. [Washington River Protection Systems, Richland, WA (United States)
2013-07-11T23:59:59.000Z
This document identifies 241-B Tank Farm (B Farm) leak cause and locations for the 100 series leaking tank (241-B-107) identified in RPP-RPT-49089, Hanford B-Farm Leak Inventory Assessments Report. This document satisfies the B Farm portion of the target (T04) in the Hanford Federal Facility Agreement and Consent Order milestone M-045-91F.
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.
An Information Theoretic Location Verification System for Wireless Networks
Yan, Shihao; Nevat, Ido; Peters, Gareth W
2012-01-01T23:59:59.000Z
As location-based applications become ubiquitous in emerging wireless networks, Location Verification Systems (LVS) are of growing importance. In this paper we propose, for the first time, a rigorous information-theoretic framework for an LVS. The theoretical framework we develop illustrates how the threshold used in the detection of a spoofed location can be optimized in terms of the mutual information between the input and output data of the LVS. In order to verify the legitimacy of our analytical framework we have carried out detailed numerical simulations. Our simulations mimic the practical scenario where a system deployed using our framework must make a binary Yes/No "malicious decision" to each snapshot of the signal strength values obtained by base stations. The comparison between simulation and analysis shows excellent agreement. Our optimized LVS framework provides a defence against location spoofing attacks in emerging wireless networks such as those envisioned for Intelligent Transport Systems, wh...
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
Methods, systems and devices for detecting and locating ferromagnetic objects
Roybal, Lyle Gene (Idaho Falls, ID) [Idaho Falls, ID; Kotter, Dale Kent (Shelley, ID) [Shelley, ID; Rohrbaugh, David Thomas (Idaho Falls, ID) [Idaho Falls, ID; Spencer, David Frazer (Idaho Falls, ID) [Idaho Falls, ID
2010-01-26T23:59:59.000Z
Methods for detecting and locating ferromagnetic objects in a security screening system. One method includes a step of acquiring magnetic data that includes magnetic field gradients detected during a period of time. Another step includes representing the magnetic data as a function of the period of time. Another step includes converting the magnetic data to being represented as a function of frequency. Another method includes a step of sensing a magnetic field for a period of time. Another step includes detecting a gradient within the magnetic field during the period of time. Another step includes identifying a peak value of the gradient detected during the period of time. Another step includes identifying a portion of time within the period of time that represents when the peak value occurs. Another step includes configuring the portion of time over the period of time to represent a ratio.
Automated Fault Location In Smart Distribution Systems
Lotfifard, Saeed
2012-10-19T23:59:59.000Z
Fault location in distribution systems is a critical component of outage management and service restoration, which directly impacts feeder reliability and quality of the electricity supply. Improving fault location methods supports the Department...
Fault Locating, Prediction and Protection (FLPPS)
Yinger, Robert, J.; Venkata, S., S.; Centeno, Virgilio
2010-09-30T23:59:59.000Z
One of the main objectives of this DOE-sponsored project was to reduce customer outage time. Fault location, prediction, and protection are the most important aspects of fault management for the reduction of outage time. In the past most of the research and development on power system faults in these areas has focused on transmission systems, and it is not until recently with deregulation and competition that research on power system faults has begun to focus on the unique aspects of distribution systems. This project was planned with three Phases, approximately one year per phase. The first phase of the project involved an assessment of the state-of-the-art in fault location, prediction, and detection as well as the design, lab testing, and field installation of the advanced protection system on the SCE Circuit of the Future located north of San Bernardino, CA. The new feeder automation scheme, with vacuum fault interrupters, will limit the number of customers affected by the fault. Depending on the fault location, the substation breaker might not even trip. Through the use of fast communications (fiber) the fault locations can be determined and the proper fault interrupting switches opened automatically. With knowledge of circuit loadings at the time of the fault, ties to other circuits can be closed automatically to restore all customers except the faulted section. This new automation scheme limits outage time and increases reliability for customers. The second phase of the project involved the selection, modeling, testing and installation of a fault current limiter on the Circuit of the Future. While this project did not pay for the installation and testing of the fault current limiter, it did perform the evaluation of the fault current limiter and its impacts on the protection system of the Circuit of the Future. After investigation of several fault current limiters, the Zenergy superconducting, saturable core fault current limiter was selected for installation. Because of some testing problems with the Zenergy fault current limiter, installation was delayed until early 2009 with it being put into operation on March 6, 2009. A malfunction of the FCL controller caused the DC power supply to the superconducting magnet to be turned off. This inserted the FCL impedance into the circuit while it was in normal operation causing a voltage resonance condition. While these voltages never reached a point where damage would occur on customer equipment, steps were taken to insure this would not happen again. The FCL was reenergized with load on December 18, 2009. A fault was experienced on the circuit with the FCL in operation on January 14, 2010. The FCL operated properly and reduced the fault current by about 8%, what was expected from tests and modeling. As of the end of the project, the FCL was still in operation on the circuit. The third phase of the project involved the exploration of several advanced protection ideas that might be at a state where they could be applied to the Circuit of the Future and elsewhere in the SCE electrical system. Based on the work done as part of the literature review and survey, as well as a number of internal meetings with engineering staff at SCE, a number of ideas were compiled. These ideas were then evaluated for applicability and ability to be applied on the Circuit of the Future in the time remaining for the project. Some of these basic ideas were implemented on the circuit including measurement of power quality before and after the FCL. It was also decided that we would take what was learned as part of the Circuit of the Future work and extend it to the next generation circuit protection for SCE. Also at this time, SCE put in a proposal to the DOE for the Irvine Smart Grid Demonstration using ARRA funding. SCE was successful in obtaining funding for this proposal, so it was felt that exploration of new protection schemes for this Irvine Smart Grid Demonstration would be a good use of the project resources. With this in mind, a protection system that uses fault interrupting switches, hi
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.
Public Facility Location Using Dispersion, Population, and Equity ...
2013-01-13T23:59:59.000Z
terion which stipulates that the distance from a demand point to its closest facility is ... the need for developing techniques for finding the k best solutions of the p median ... are usually some function of the response time; typical functions are the average response ... practice pertaining to public facility locational analysis: 1
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...
Radiation damage in the LHCb Vertex Locator
A. Affolder; K. Akiba; M. Alexander; S. Ali; M. Artuso; J. Benton; M. van Beuzekom; P. M. Bj\\ornstad; G. Bogdanova; S. Borghi; T. J. V. Bowcock; H. Brown; J. Buytaert; G. Casse; P. Collins; S. De Capua; D. Dossett; L. Eklund; C. Farinelli; J. Garofoli; M. Gersabeck; T. Gershon; H. Gordon; J. Harrison; V. Heijne; K. Hennessy; D. Hutchcroft; E. Jans; M. John; T. Ketel; G. Lafferty; T. Latham; A. Leflat; M. Liles; D. Moran; I. Mous; A. Oblakowska-Mucha; C. Parkes; G. D. Patel; S. Redford; M. M. Reid; K. Rinnert; E. Rodrigues; M. Schiller; T. Szumlak; C. Thomas; J. Velthuis; V. Volkov; A. D. Webber; M. Whitehead; E. Zverev
2013-02-21T23:59:59.000Z
The LHCb Vertex Locator (VELO) is a silicon strip detector designed to reconstruct charged particle trajectories and vertices produced at the LHCb interaction region. During the first two years of data collection, the 84 VELO sensors have been exposed to a range of fluences up to a maximum value of approximately $\\rm{45 \\times 10^{12}\\,1\\,MeV}$ neutron equivalent ($\\rm{1\\,MeV\\,n_{eq}}$). At the operational sensor temperature of approximately $-7\\,^{\\circ}\\rm{C}$, the average rate of sensor current increase is $18\\,\\upmu\\rm{A}$ per $\\rm{fb^{-1}}$, in excellent agreement with predictions. The silicon effective bandgap has been determined using current versus temperature scan data after irradiation, with an average value of $E_{g}=1.16\\pm0.03\\pm0.04\\,\\rm{eV}$ obtained. The first observation of n-on-n sensor type inversion at the LHC has been made, occurring at a fluence of around $15 \\times 10 ^{12}$ of $1\\,\\rm{MeV\\,n_{eq}}$. The only n-on-p sensors in use at the LHC have also been studied. With an initial fluence of approximately $\\rm{3 \\times 10^{12}\\,1\\,MeV\\,n_{eq}}$, a decrease in the Effective Depletion Voltage (EDV) of around 25\\,V is observed, attributed to oxygen induced removal of boron interstitial sites. Following this initial decrease, the EDV increases at a comparable rate to the type inverted n-on-n type sensors, with rates of $(1.43\\pm 0.16) \\times 10 ^{-12}\\,\\rm{V} / \\, 1 \\, \\rm{MeV\\,n_{eq}}$ and $(1.35\\pm 0.25) \\times 10 ^{-12}\\,\\rm{V} / \\, 1 \\, \\rm{MeV\\,n_{eq}}$ measured for n-on-p and n-on-n type sensors, respectively. A reduction in the charge collection efficiency due to an unexpected effect involving the second metal layer readout lines is observed.
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
Giant Planets and Cool Stars ASP Conference Series, Vol. xx, 1999
Reid, Iain Neill
Giant Planets and Cool Stars ASP Conference Series, Vol. xx, 1999 C. Griffith and M. Marley, eds at radial distances in accord both with M dwarf binaries and with the radial location of Jovian planets of origin for planets and binary stars. As part of this endeavor, we have undertaken a search for companions
Regenerator Location Problem in Flexible Optical Networks
BARIS YILDIZ
2014-11-22T23:59:59.000Z
Nov 22, 2014 ... Abstract: In this study we introduce the regenerator location problem in flexible optical networks (RLP-FON). With a given traffic demand, ...
Regenerator Location Problem in Flexible Optical Networks
2014-11-22T23:59:59.000Z
Regenerator Location Problem in Flexible Optical Networks. Bar?s Y?ld?z, Oya Ekin Karasan. Department of Industrial Engineering, Bilkent University, Bilkent, ...
Chenicek, Kristine Jo
1984-01-01T23:59:59.000Z
isozymes are assoc'ated with the m'tochondria. Study of wheat-alien chromosome addition lines provided evidence for the location of Aco-1 and Aco-2 genes in specific chromosomes in several relatives of hexaploid wheat. Alien Aco-1 genes were located... in the CSU-31 chromosome addition line of the Chinese Spring-l. umbeliulstum addition series, in the B and E chromosome addition lines of the Chinese Spring-T. longissimum addition series (presumably in chromosome 65 ), in the beta arm of Flytrigia...
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
Impurity-doped optical shock, detonation and damage location sensor
Weiss, Jonathan D. (Albuquerque, NM)
1995-01-01T23:59:59.000Z
A shock, detonation, and damage location sensor providing continuous fiber-optic means of measuring shock speed and damage location, and could be designed through proper cabling to have virtually any desired crush pressure. The sensor has one or a plurality of parallel multimode optical fibers, or a singlemode fiber core, surrounded by an elongated cladding, doped along their entire length with impurities to fluoresce in response to light at a different wavelength entering one end of the fiber(s). The length of a fiber would be continuously shorted as it is progressively destroyed by a shock wave traveling parallel to its axis. The resulting backscattered and shifted light would eventually enter a detector and be converted into a proportional electrical signals which would be evaluated to determine shock velocity and damage location. The corresponding reduction in output, because of the shortening of the optical fibers, is used as it is received to determine the velocity and position of the shock front as a function of time. As a damage location sensor the sensor fiber cracks along with the structure to which it is mounted. The size of the resulting drop in detector output is indicative of the location of the crack.
Impurity-doped optical shock, detonation and damage location sensor
Weiss, J.D.
1995-02-07T23:59:59.000Z
A shock, detonation, and damage location sensor providing continuous fiber-optic means of measuring shock speed and damage location, and could be designed through proper cabling to have virtually any desired crush pressure. The sensor has one or a plurality of parallel multimode optical fibers, or a singlemode fiber core, surrounded by an elongated cladding, doped along their entire length with impurities to fluoresce in response to light at a different wavelength entering one end of the fiber(s). The length of a fiber would be continuously shorted as it is progressively destroyed by a shock wave traveling parallel to its axis. The resulting backscattered and shifted light would eventually enter a detector and be converted into a proportional electrical signals which would be evaluated to determine shock velocity and damage location. The corresponding reduction in output, because of the shortening of the optical fibers, is used as it is received to determine the velocity and position of the shock front as a function of time. As a damage location sensor the sensor fiber cracks along with the structure to which it is mounted. The size of the resulting drop in detector output is indicative of the location of the crack. 8 figs.
Thermoacoustic instability - a dynamical system and time domain analysis
Sayadi, Taraneh; Schmid, Peter; Richecoeur, Franck; Massot, Marc
2013-01-01T23:59:59.000Z
This study focuses on the Rijke tube problem, which includes features relevant to the modeling of thermoacoustic coupling in reactive flows: a compact acoustic source, an empirical model for the heat source, and nonlinearities. This system features both linear and nonlinear flow regimes with complex dynamical behavior. In order to synthesize accurate time-series, we tackle this problem from a numerical point-of-view, and start by proposing a dedicated solver designed for dealing with the underlying stiffness, in particular, the retarded time and the discontinuity at the location of the heat source. Stability analysis is performed on the limit of the low amplitude perturbations by means of the projection method proposed by Jarlebring (2008), which alleviates the linearization of the retarded term. The results are then compared to the analytical solution of the undamped system, in addition to the analysis based on Galerkin projection. The method provides insight into the consequence of the simplification due to...
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...
RECYCLING PROGRAM TYPE LOCATION ALLOWED NOT ALLOWED
Miami, University of
RECYCLING PROGRAM TYPE LOCATION ALLOWED NOT ALLOWED Batteries, toner, ink cartridges & cell phones and recycling is an important part of that effort. Below is a guide to on-campus recycling at RSMAS: Visit http://www.rsmas.miami.edu/msgso/ for map of recycling bin locations. NOTE: This is not an exhaustive list. If unauthorized items are found
Locating and tracking assets using RFID
Kim, Gak Gyu
2009-05-15T23:59:59.000Z
, this research presents a math¬ematical model of using RFID (both handheld readers and stationary readers) for e?cient asset location. We derive the expected cost of locating RFID¬tagged objects in a multi¬area environment where hand¬held RF readers are used. We...
Optimized Fault Location Final Project Report
Engineering Research Center Optimized Fault Location Concurrent Technologies Corporation Final Project Report by the Concurrent Technologies Corporation (CTC) and the Power Systems Engineering Research Center (PSERC). NeitherOptimized Fault Location Final Project Report Power Systems Engineering Research Center A National
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...
McGarrigle, Conor
2009-01-01T23:59:59.000Z
closely aligned to the SI's construction of situations. ThisG (1957) Report on the Construction of Situations and on theThe Construction of Locative Situations: Locative Media and
Hanford Single-Shell Tank Leak Causes and Locations - 241-U Farm
Girardot, Crystal L.; Harlow, Donald G.
2013-12-02T23:59:59.000Z
This document identifies 241-U Tank Farm (U Farm) leak causes and locations for the 100 series leaking tanks (241-U-104, 241-U-110, and 241-U-112) identified in RPP-RPT-50097, Rev. 0, Hanford 241-U Farm Leak Inventory Assessment Report. This document satisfies the U-Farm portion of the target (T04) in the Hanford Federal Facility Agreement and Consent Order milestone M-045-91F.
Hanford Single-Shell Tank Leak Causes and Locations - 241-A Farm
Girardot, Crystal L.; Harlow, Donald G.
2013-09-10T23:59:59.000Z
This document identifies 241-A Tank Farm (A Farm) leak causes and locations for the 100 series leaking tanks (241-A-104 and 241-A-105) identified in RPP-ENV-37956, Hanford A and AX Farm Leak Assessment Report. This document satisfies the A Farm portion of the target (T04) in the Hanford Federal Facility Agreement and Consent Order milestone M-045-91F.
Hanford Single-Shell Tank Leak Causes and Locations - 241-C Farm
Girardot, Crystal L.; Harlow, Donald G.
2013-07-30T23:59:59.000Z
This document identifies 241-C Tank Farm (C Farm) leak causes and locations for the 100 series leaking tanks (241-C-101 and 241-C-105) identified in RPP-RPT-33418, Rev. 2, Hanford C-Farm Leak Inventory Assessments Report. This document satisfies the C Farm portion of the target (T04) in the Hanford Federal Facility Agreement and Consent Order milestone M-045-91F.
Hanford Single-Shell Tank Leak Causes and Locations - 241-T Farm
Girardot, Crystal L.; Harlow, Donald G.
2014-05-15T23:59:59.000Z
This document identifies 241-T Tank Farm (T Farm) leak causes and locations for the 100 series leaking tanks (241-T-106 and 241-T-111) identified in RPP-RPT-55084, Rev. 0, Hanford 241-T Farm Leak Inventory Assessment Report. This document satisfies the T Farm portion of the target (T04) in the Hanford Federal Facility Agreement and Consent Order milestone M-045-91F.
Hanford Single Shell Tank Leak Causes and Locations - 241-TX Farm
Girardot, C. L.; Harlow, D> G.
2014-07-22T23:59:59.000Z
This document identifies 241-TX Tank Farm (TX Farm) leak causes and locations for the 100 series leaking tanks (241-TX-107 and 241-TX-114) identified in RPP-RPT-50870, Rev. 0, Hanford 241-TX Farm Leak Inventory Assessment Report. This document satisfies the TX Farm portion of the target (T04) in the Hanford Federal Facility Agreement and Consent Order milestone M-045-91F.
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.
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-
Department of Electrical and Computer Engineering Spring 2012 Seminar Series
Pal, Ranadip
interests include intelligent sensor networks, smart sensors and actuators, intelligent control, and fault and Control using Mobile Wireless Sensor Networks Time: March 2nd, 2012, 3:00 - 4:00 PM Location: Lankford Lab and control research projects at Micro-Aerial Vehicle and Sensor Network (MAVSeN) Laboratory at Louisiana Tech
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.
Seismic Line Location Map Hot Pot Project, Humboldt County, Nevada 2010
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Michael Lane
Seismic Line Location Map Hot Pot Project, Humboldt County, Nevada 2010. ArcGIS map package containing topographic base map, Township and Range layer, Oski BLM and private leases at time of survey, and locations, with selected shot points, of the five seismic lines.
A Survey on the Warehouse Location Problem
Cohen, Joseph J.
The warehouse location problem has assumed numerous formulations, and solutions have been devised using a variety of mathematical techniques. The development of this effort is examined and relevant models presented for evaluation.
Alternative Fuel Infrastructure Associate Location: San Diego
California at Davis, University of
Alternative Fuel Infrastructure Associate Location: San Diego Basic Functions Center an Alternative Fuel Infrastructure Associate that has a passion for sustainability, the environment, and accelerating the transition to a sustainable world powered by clean energy! The Alternative Fuel Infrastructure
Techniques for Mobile Location Estimation in UMTS
Thomas, Nicholas J
The subject area of this thesis is the locating of mobile users using the future 3rd generation spread spectrum communication system UMTS. The motivation behind this work is twofold: firstly the United States Federal ...
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
Driver expectancy in locating automotive controls
Francis, Dawn Suzette
1990-01-01T23:59:59.000Z
DRIVER EXPECTANCY IN LOCATING AUTOMOTIVE CONTROLS A Thesis by DAWN SUZETTE FRANCIS Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE May 1990... Major Subject: Industrial Engineering DRIVER EXPECTANCY IN LOCATING AUTOMOTIVE CONTROLS A Thesis by DAWN SUZETTE FRANCIS Approved as to style and content by: R. Dale Huchi son (Chair of Committee) Rodger . . ppa (Member) Waymon L ohnston (M er...
Locating Boosted Kerr and Schwarzschild Apparent Horizons
Mijan F. Huq; Matthew W. Choptuik; Richard A. Matzner
2000-02-22T23:59:59.000Z
We describe a finite-difference method for locating apparent horizons and illustrate its capabilities on boosted Kerr and Schwarzschild black holes. Our model spacetime is given by the Kerr-Schild metric. We apply a Lorentz boost to this spacetime metric and then carry out a 3+1 decomposition. The result is a slicing of Kerr/Schwarzschild in which the black hole is propagated and Lorentz contracted. We show that our method can locate distorted apparent horizons efficiently and accurately.
Driver expectancy in locating automotive controls
Francis, Dawn Suzette
1990-01-01T23:59:59.000Z
Major Subject: Industrial Engineering DRIVER EXPECTANCY IN LOCATING AUTOMOTIVE CONTROLS A Thesis by DAWN SUZETTE FRANCIS Approved as to style and content by: R. Dale Huchi son (Chair of Committee) Rodger . . ppa (Member) Waymon L ohnston (M er... assessment of automotive industry practices in 1971 and concluded that only 50% of controls/displays on various models could be said to have a common location. Perel (1974) reviewed prior research and found that it would be difficult to pinpoint...
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
Reconstructing Spatial Distributions from Anonymized Locations
Horey, James L [ORNL] [ORNL; Forrest, Stephanie [University of New Mexico, Albuquerque] [University of New Mexico, Albuquerque; Groat, Michael [University of New Mexico, Albuquerque] [University of New Mexico, Albuquerque
2012-01-01T23:59:59.000Z
Devices such as mobile phones, tablets, and sensors are often equipped with GPS that accurately report a person's location. Combined with wireless communication, these devices enable a wide range of new social tools and applications. These same qualities, however, leave location-aware applications vulnerable to privacy violations. This paper introduces the Negative Quad Tree, a privacy protection method for location aware applications. The method is broadly applicable to applications that use spatial density information, such as social applications that measure the popularity of social venues. The method employs a simple anonymization algorithm running on mobile devices, and a more complex reconstruction algorithm on a central server. This strategy is well suited to low-powered mobile devices. The paper analyzes the accuracy of the reconstruction method in a variety of simulated and real-world settings and demonstrates that the method is accurate enough to be used in many real-world scenarios.
Location theory and the location of industry along an interstate highway
Miller, James Patterson
1965-01-01T23:59:59.000Z
LOCATION THEORY AND THE LOCATION OF INDUSTRY ALONG AN INTERSTATE HIGHWAY A Thesis By JAMES PATTERSON MILLER Approved as to style and content by: (Cha of ittee) (H a Depa ment) (Member) (Member) (Mamba r) (Member) (Member) AUGUST 1965 A C... of Interstate Highways The Type of Plant Location and the Importance of Interstate Highways Prior Evaluation of the Highway Summary 90 91 92 96 97 VIII. SUMMARY AND CONCLUSIONS 98 Introduction Limitations of the Study Summary of Findings 98 98 99...
Location theory and the location of industry along an interstate highway
Miller, James Patterson
1965-01-01T23:59:59.000Z
a greater gamble. This sect. ion has been devoted to s review of the fundamental factors underlying all plant location ss recognised in location theory. The next section will review some recent. empirical attempts to determine the actual... for this thesis was possible through the assistance provided )ointly by the Texas Highway Department and the Bureau of Public Roads. i. v TABLE OF CONTENTS Chapter Page INTRODUCTION Purpose Plan of Study REVIEW OF PLANT LOCATION CONCEPTS Introduction...
Locating and tracking assets using RFID
Kim, Gak Gyu
2009-05-15T23:59:59.000Z
. . . . . . . . . . . . . . . . . . . . . . . . 10 C. Different Technologies for Asset Tracking / Locating . . . . 10 1. Hand-held Reader . . . . . . . . . . . . . . . . . . . . 11 2. Fixed Reader Installed in Area . . . . . . . . . . . . . 11 3. Fixed Reader Installed at Chokepoint... . . . . . . . . . . . 34 a. CaseofInstallingtheFixedReaderintheMost Probable Area . . . . . . . . . . . . . . . . . . . . 35 b. Case of Installing the Fixed Reader in the Far- thest Area . . . . . . . . . . . . . . . . . . . . . . 36 3. Extension of Experiments...
Recycling Bin Guide Locations and prices
Kirschner, Denise
Recycling Bin Guide Locations and prices Metal Bins Deskside Bins with Side Saddle Rubbermaid Bins.58 for auxiliaries. And Non-Public Areas Public Offices Non-Public Recyclables Recyclables RecyclablesTrash Trash Trash #12;New Recycling Bin Guidelines Frequently Asked Questions (as of December 2008) · Why
Locating Secret Messages in Images Ian Davidson
Davidson, Ian
Locating Secret Messages in Images Ian Davidson Computer Science, SUNY Albany 1400 Washington in innocuous media such as images, while steganalysis is the field of detecting these secret messages contributing the most to the energy calculations of an image are deemed outliers. Typically, of the top third
Ontology-based Disambiguation of Spatiotemporal Locations
Hyvönen, Eero
, in the semantic portal MuseumFinland3 [7] a location parton- omy4 was used for annotating museum artifacts. #12;A problem when creating a semantic cultural heritage portal is that places, both modernFinland originate from regions that no longer exist and/or are not part of Finland but of Russia with new names
OPTIMAL LOCATION OF ISOLATION VALVES IN WATER
Mays, Larry W.
CHAPTER 7 OPTIMAL LOCATION OF ISOLATION VALVES IN WATER DISTRIBUTION SYSTEMS: A RELIABILITY The cornerstone of any healthy population is access to safe drinking water. The goal of the United Nations International Drinking Water Supply and Sanitation Decade from 1981 to 1990 was safe drinking water for all
www.elsevier.com/locate/visres polarization
Boal, Jean
.elsevier.com/locate/visres Cuttlefish use polarization sensitivity in predation on silvery fish Nadav Shashar a,b, Roland Hagan c, Jean of cuttlefish, we examined the preference of Sepia officina/is when presented with fish whose polarization reflection was greatly reduced versus fish whose polarization reflection was not affected. Cuttlefish preyed
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
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CLEAN Webinar Series 3 | Open Energy Information
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CLEAN Webinar Series 2 | Open Energy Information
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CLEAN Webinar Series 4 | Open Energy Information
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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.
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...
Noise pair velocity and range echo location system
Erskine, David J. (Oakland, CA)
1999-01-01T23:59:59.000Z
An echo-location method for microwaves, sound and light capable of using incoherent and arbitrary waveforms of wide bandwidth to measure velocity and range (and target size) simultaneously to high resolution. Two interferometers having very long and nearly equal delays are used in series with the target interposed. The delays can be longer than the target range of interest. The first interferometer imprints a partial coherence on an initially incoherent source which allows autocorrelation to be performed on the reflected signal to determine velocity. A coherent cross-correlation subsequent to the second interferometer with the source determines a velocity discriminated range. Dithering the second interferometer identifies portions of the cross-correlation belonging to a target apart from clutter moving at a different velocity. The velocity discrimination is insensitive to all slowly varying distortions in the signal path. Speckle in the image of target and antenna lobing due to parasitic reflections is minimal for an incoherent source. An arbitrary source which varies its spectrum dramatically and randomly from pulse to pulse creates a radar elusive to jamming. Monochromatic sources which jigger in frequency from pulse to pulse or combinations of monochromatic sources can simulate some benefits of incoherent broadband sources. Clutter which has a symmetrical velocity spectrum will self-cancel for short wavelengths, such as the apparent motion of ground surrounding target from a sidelooking airborne antenna.
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...
Location Prediction in Social Media Based on Tie Strength
McGee, Jeffrey A
2013-04-29T23:59:59.000Z
We propose a novel network-based approach for location estimation in social media that integrates evidence of the social tie strength between users for improved location estimation. Concretely, we propose a location estimator – Friendly...
Semantics of Functional and Locative Relations in Rongga
Aryawibawa, I. Nyoman
2010-01-01T23:59:59.000Z
Many scholars have proposed a universal set of locative relations. Herskovits’s comprehensive study of English locative relations found that locative concepts such as inclusion, support and contiguity, and coincidence are basic in English. Her...
live music unique locations 1. Thiseventwillcontinueregardlessofweatherexceptinthecaseof
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live music unique locations 1. Thiseventwillcontinueregardlessofweatherexceptinthecaseof
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live music unique locations 1. Thiseventwillcontinueregardlessofweatherexceptinthecaseof
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Automated Fault Location In Smart Distribution Systems
Lotfifard, Saeed
2012-10-19T23:59:59.000Z
Quality Meters (PQM), are installed to capture harmonics and certain disturbances for analyzing the power quality indices. Digital Protective Relays are utilized to detect occurrence of the faults and isolate faulted section as fast as possible. Digital... Protective Relays) use synchronous methods [28]. Therefore, if the available data is provided by RTUs, fault location methods that operate based on direct comparison of the input samples cannot be 17 utilized. However, if the data could be gathered from...
Location of Narrowband Spikes in Solar Flares
Arnold O. Benz; Pascal Saint-Hilaire; Nicole Vilmer
2001-12-19T23:59:59.000Z
Narrowband spikes of the decimeter type have been identified in dynamic spectrograms of Phoenix-2 of ETH Zurich and located in position with the Nancay Radioheliograph at the same frequency. The spike positions have been compared with the location of hard X-ray emission and the thermal flare plasma in soft X-rays and EUV lines. The decimetric spikes are found to be single sources located some 20" to 400" away from the flare site in hard or soft X-rays. In most cases there is no bright footpoint nearby. In at least two cases the spikes are near loop tops. These observations do not confirm the widely held view that the spike emission is produced by some loss-cone instability masering near the footpoints of flare loops. On the other hand, the large distance to the flare sites and the fact that these spikes are all observed in the flare decay phase make the analyzed spike sources questionable sites for the main flare electron acceleration. They possibly indicate coronal post-flare acceleration sites.
Evaluation of workplace air monitoring locations
Stoetzel, G.A.; Cicotte, G.R.; Lynch, T.P. (Pacific Northwest Lab., Richland, WA (United States)); Aldrich, L.K. (Westinghouse Hanford Co., Richland, WA (United States))
1991-10-01T23:59:59.000Z
Current federal guidance on occupational radiation protection recognizes the importance of conducting air flow studies to assist in the placement of air sampling and monitoring equipment. In support of this, Pacific Northwest Laboratory has provided technical assistance to Westinghouse Hanford Company for the purpose of evaluating the adequacy of air sampling and monitoring locations at selected Hanford facilities. Qualitative air flow studies were performed using smoke aerosols to visually determine air movement. Three examples are provided of how air flow studies results, along with information on the purpose of the air sample being collected, were used as a guide in placing the air samplers and monitors. Preparatory steps in conducting an air flow study should include: (1) identifying type of work performed in the work area including any actual or potential release points; (2) determining the amounts of radioactive material available for release and its chemical and physical form; (3) obtaining accurate work area descriptions and diagrams; (4) identifying the location of existing air samplers and monitors; (5) documenting physical and ventilation configurations; (6) notifying appropriate staff of the test; and (7) obtaining necessary equipment and supplies. The primary steps in conducting an air flow study are measurements of air velocities in the work area, release of the smoke aerosol at selected locations in the work area and the observation of air flow patterns, and finally evaluation and documentation of the results. 2 refs., 3 figs.
New Webinar Series to Address Climate Change Impacts in Indian...
Broader source: Energy.gov (indexed) [DOE]
webinar series focused on evaluating, assessing, and mitigating the impacts of climate change on U.S. tribal communities. The "Climate Change Impacts and Indian Country" series...
MIE Regional Climate Change Impact Webinar Series: Hawaii & Pacific...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
MIE Regional Climate Change Impact Webinar Series: Hawaii & Pacific Islands MIE Regional Climate Change Impact Webinar Series: Hawaii & Pacific Islands November 5, 2015 1:00PM to...
Building America Best Practices Series Vol. 14: Energy Renovations...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Best Practices Series Vol. 14: Energy Renovations - HVAC: A Guide for Contractors to Share with Homeowners Building America Best Practices Series Vol. 14: Energy Renovations -...
Bibliography of the Scripps Institution of Oceanography Reference Series 2002
Lett, Phyllis C.
2003-01-01T23:59:59.000Z
Scripps Institution of Oceanography Reference Series. MarchSCRIPPS INSTITUTION OF OCEANOGRAPHY LA JOLL~ CALIFORNIAOF THE SCRIPPS INSTITUTION OF OCEANOGRAPHY REF ERENCE SERIES
Bibliography of the Scripps Institution of Oceanography Reference Series 1997
Jennings, Paige A.
1998-01-01T23:59:59.000Z
SCRIPPS INSTITUTION OF OCEANOGRAPHY REFERENCE SERIES 97-01Scripps Institution of Oceanography Reference Series 1997.held at Scripps Institution of Oceanography 19 August 1997.
Chassis Dynamometer Testing of Parallel and Series Diesel Hybrid...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Chassis Dynamometer Testing of Parallel and Series Diesel Hybrid Buses Chassis Dynamometer Testing of Parallel and Series Diesel Hybrid Buses Emissions and fuel economy data were...
Tribal Renewable Energy Webinar Series | Department of Energy
Office of Environmental Management (EM)
Training Tribal Renewable Energy Webinar Series Tribal Renewable Energy Webinar Series The DOE Office of Indian Energy Policy and Programs, in partnership with Western Area...
Building America Best Practices Series: Volume 12. EnergyRenovations...
Series: Volume 12. Energy Renovations-Insulation: A Guide for Contractors to Share With Homeowners Building America Best Practices Series: Volume 12. Energy Renovations-Insulation:...
Open Location-Oriented Services for the Web
Wilde, Erik
2008-01-01T23:59:59.000Z
Location Management for Mobile Devices. In Proceedings ofof wireless data services and mobile devices can take fullof location-awareness and mobile devices. Conclusions This
Locating Climate Insecurity: Where Are the Most Vulnerable Places...
Locating Climate Insecurity: Where Are the Most Vulnerable Places in Africa? Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Locating Climate Insecurity: Where Are the...
Optimization Online - p-facility Huff location problem on networks
Rafael Blanquero
2014-10-30T23:59:59.000Z
Oct 30, 2014 ... Abstract: The p-facility Huff location problem aims at locating facilities on a competitive environment so as to maximize the market share.
FIND A BUSINESS OR Search By Biz Name, Location Market Updates
Aksay, Ilhan A.
FIND A BUSINESS » OR Search By Biz Name, Location INSIDE Business » Market Updates » Columnists Advertisers » Times of Trenton Fall House & Home » Times of Trenton Web Connections » Place Classifed Ads. To develop the smart personal airplane is not a major computer problem. But every cube of airspace would have
Digital Signal Processing 17 (2007) 578616 www.elsevier.com/locate/dsp
2007-01-01T23:59:59.000Z
Digital Signal Processing 17 (2007) 578616 www.elsevier.com/locate/dsp Short-time phase spectrum Abstract Incorporating information from the short-time phase spectrum into a feature set for automatic speech recognition (ASR) may possibly serve to improve recognition accuracy. Currently, however
Space Radiation and Cataracts (LBNL Summer Lecture Series)
Blakely, Eleanor
2011-04-28T23:59:59.000Z
Summer Lecture Series 2009: Eleanor Blakely, radiation biologist of the Life Sciences Division at Lawrence Berkeley National Laboratory, has been a scientist at Berkeley Lab since 1975. She is studying the effect of radiation on cataracts which concerns not only cancer patients, but also astronauts. As astronauts spend increasingly longer time in space, the effects of cosmic radiation exposure will become an increasingly important health issue- yet there is little human data on these effects. Blakely reviews this emerging field and the contributions made at Berkeley Lab
Accuracy of teleseismic event locations in the Middle East and North Africa
Sweeney, J.J.
1996-12-04T23:59:59.000Z
Seismic characterization at the regional level requires accurate determination of phases and travel times for many combinations of stations and events. An important consideration in the process is the accuracy of event locations. The LLNL Comprehensive Test Ban Treaty Research Program is currently working on data from the Middle East and North Africa, where seismic station coverage is relatively sparse and ``ground truth`` seismic source information is practically nonexistent. In this report the investigator use after shock studies as a source of local ground truth. He evaluates teleseismic location accuracy by comparing hypocenters determined by local networks with those determined teleseismically [e.g. the International Seismological Center (ISC) and the National Earthquake Information Center (NEIC)]. Epicentral locations, origin times, and depth determinations of events from three aftershocks studies (Algeria, Armenia, and Iran) and one local network study (Iran) are compared with ISC and NEIC locations for the same events. The key parameter for the ISC locations is the number of observations used in the location determination. For more than 40-50 observations, the agreement rapidly diminishes and ISC locations can differ from local determinations by as much as 80 km or more. Events in Iran show a distinct bias of ISC location errors toward the northeast; events in Armenia and Algeria show no directional bias. This study shows that only events with ISC M{sub b} {gt} 4.4-4.5 or NEIS M{sub b} {gt} 4.7-4. should be used for compiling travel time information from teleseismic bulletins in the Middle East/North Africa region when locations from the NEIC and ISC bulletins are used.
Passport to Leadership Series Course Descriptions 11/2011 Passport to Leadership Series
New Mexico, University of
Passport to Leadership Series Course Descriptions 11/2011 Passport to Leadership Series Course # Course Title Description LSC100 Essentials of Leadership This course is intended for individuals with leadership/management experience. Learn the challenges of leadership today; be introduced to the interaction
Hanford Single-Shell Tank Leak Causes and Locations - 241-BY and 241-TY Farm
Girardot, Crystal L.; Harlow, Donald G.
2013-11-19T23:59:59.000Z
This document identifies 241-BY Tank Farm (BY Farm) and 241-TY Tank Farm (TY Farm) leak causes and locations for the 100 series leaking tanks (241-BY-103, 241-TY-103, 241-TY-104, 241-TY-105, and 241-TY-106) identified in RPP-RPT-43704, Hanford BY Farm Leak Assessments Report, and in RPP-RPT-42296, Hanford TY Farm Leak Assessments Report. This document satisfies the BY and TY Farm portion of the target (T04) in Hanford Federal Facility Agreement and Consent Order milestone M-045-91F.
Hanford Single-Shell Tank Leak Causes and Locations - 241-SX Farm
Girardot, Crystal L. [Washington River Protection Solutions (United States); Harlow, Donald G. [Washington River Protection Solutions (United States)
2014-01-08T23:59:59.000Z
This document identifies 241-SX Tank Farm (SX Farm) leak causes and locations for the 100 series leaking tanks (241-SX-107, 241-SX-108, 241-SX-109, 241-SX-111, 241-SX-112, 241-SX-113, 241-SX-114, and 241-SX-115) identified in RPP-ENV-39658, Rev. 0, Hanford SX-Farm Leak Assessments Report. This document satisfies the SX Farm portion of the target (T04) in the Hanford Federal Facility Agreement and Consent Order milestone M-045-91F.
Hanford Single-Shell Tank Leak Causes and Locations - 241-BY and 241-TY Farm
Girardot, Crystal L.; Harlow, Donald G.
2014-09-04T23:59:59.000Z
This document identifies 241-BY Tank Farm (BY Farm) and 241-TY Tank Farm (TY Farm) lead causes and locations for the 100 series leaking tanks (241-BY-103, 241-TY-103, 241-TY-104, 241-TY-105 and 241-TY-106) identified in RPP-RPT-43704, Hanford BY Farm Leak Assessments Report, and in RPP-RPT-42296, Hanford TY Farm Leak Assessments Report. This document satisfies the BY and TY Farm portion of the target (T04) in the Hanford Federal Facility Agreement and Consent Order milestone M-045-91F.
GE Global Research Locations | GE Global Research
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 TheAtheForensic StudiesPrograms Â»Locations GE Global
Pattern Alteration: Location of Bust Fullness
2006-08-04T23:59:59.000Z
). Figure 1. Bodice with Darts Darts should point toward the fullest part of the bust, ending ? to 1 ? inches (1 to 4 cm) from its tip. This depends on the garment style, your fi gure and personal preference. The Personal Measurement Chart (line 6) can... help you deter- mine the position of your bust point on the pattern. If your measurement and the pattern bust point location differ, you need an alteration. 1. To fi nd the bust point on a basic pattern, extend the center lines of the darts until...
Series connected OLED structure and fabrication method
Foust, Donald Franklin; Balch, Ernest Wayne; Duggal, Anil Raj; Heller, Christian Maria; Guida, Renato; Nealon, William Francis; Faircloth, Tami Janene
2006-05-23T23:59:59.000Z
A light emitting device comprises a plurality of organic light emitting diode (OLED) modules. The OLED modules are arranged into a series group where the individual OLED modules are electrically connected in series. The device is configured to be coupled to a power supply. A display is also provided. The display includes a plurality of OLED modules arranged to depict a shape selected from the group consisting of at least one letter, at least one number, at least one image, and a combination thereof.
Local-time effect on small space-time scale
V. A. Panchelyuga; V. A. Kolombet; M. S. Panchelyuga; S. E. Shnoll
2006-10-18T23:59:59.000Z
The paper presents an investigation of local-time effect - one of the manifestations of macroscopic fluctuations phenomena. Was shown the existence of the named effect for longitudinal distance between locations of measurements up to 500 meters. Also a structure of intervals distribution in neighborhood of local-time peak was studied and splitting of the peak was found out. Obtained results lead to conclusion about sharp anisotropy of space-time.
System, method and computer-readable medium for locating physical phenomena
Weseman, Matthew T. (Idaho Falls, ID) [Idaho Falls, ID; Rohrbaugh, David T. (Idaho Falls, ID) [Idaho Falls, ID; Richardson, John G. (Idaho Falls, ID) [Idaho Falls, ID
2008-02-26T23:59:59.000Z
A method, system and computer product for detecting the location of a deformation of a structure includes baselining a defined energy transmitting characteristic for each of the plurality of laterally adjacent conductors attached to the structure. Each of the plurality of conductors includes a plurality of segments coupled in series and having an associated unit value representative of the defined energy transmitting characteristic. The plurality of laterally adjacent conductors includes a plurality of identity groups with each identity group including at least one of the plurality of segments from each of the plurality of conductors. Each of the plurality of conductors are monitored for a difference in the defined energy transmitting characteristic when compared with a baseline energy transmitting characteristic for each of the plurality of conductors. When the difference exceeds a threshold value, a location of the deformation along the structure is calculated.
Locating a Recycling Center: The General Density Case Jannett Highfill
Mou, Libin
Locating a Recycling Center: The General Density Case Jannett Highfill Department of Economics) 677-3374. #12;2 Locating a Recycling Center: The General Density Case Abstract: The present paper considers a municipality that has a landfill (fixed in location) and plans to optimally locate a "recycling
An Energy Efficient Location Service for Mobile Ad Hoc etworks
Varela, Carlos
the distance traveled by the location update and query packets and, thus, at reducing the overall energy cost by the location update and query packets and, thus, to reduce the overall energy cost. 2 Energy Efficient LocationAn Energy Efficient Location Service for Mobile Ad Hoc etworks Zijian Wang1 , Eyuphan Bulut1
Scientific Innovation Through Integration Capabilities Series
and quantify metabolites in complex biofluids êê NMR with radiological capabilities êê Combined confocal(5948):1670-1673. ABOUT EMSL EMSL, a U.S. Department of Energy national scientific user facility located at Pacific
live music unique locations 1. Thiseventwillcontinueregardlessofweatherexceptinthecaseof
or injury caused or that caused by third parties or for loss of personal property on site or left; for the latest updates on running times please check the website as the date approaches. siTe openinG Times
Math 241: Fourier series: details and convergence University of Pennsylvania
DeTurck, Dennis
Math 241: Fourier series: details and convergence D. DeTurck University of Pennsylvania October 15, 2012 D. DeTurck Math 241 002 2012C: Fourier series 1 / 22 #12;Fourier series We've been using Fourier questions: Â· Do Fourier series converge? Â· What do they converge to? Do they converge to the functions we
Reduction in maximum time uncertainty of paired time signals
Theodosiou, George E. (West Chicago, IL); Dawson, John W. (Clarendon Hills, IL)
1983-01-01T23:59:59.000Z
Reduction in the maximum time uncertainty (t.sub.max -t.sub.min) of a series of paired time signals t.sub.1 and t.sub.2 varying between two input terminals and representative of a series of single events where t.sub.1 .ltoreq.t.sub.2 and t.sub.1 +t.sub.2 equals a constant, is carried out with a circuit utilizing a combination of OR and AND gates as signal selecting means and one or more time delays to increase the minimum value (t.sub.min) of the first signal t.sub.1 closer to t.sub.max and thereby reduce the difference. The circuit may utilize a plurality of stages to reduce the uncertainty by factors of 20-800.
Reduction in maximum time uncertainty of paired time signals
Theodosiou, G.E.; Dawson, J.W.
1983-10-04T23:59:59.000Z
Reduction in the maximum time uncertainty (t[sub max]--t[sub min]) of a series of paired time signals t[sub 1] and t[sub 2] varying between two input terminals and representative of a series of single events where t[sub 1][<=]t[sub 2] and t[sub 1]+t[sub 2] equals a constant, is carried out with a circuit utilizing a combination of OR and AND gates as signal selecting means and one or more time delays to increase the minimum value (t[sub min]) of the first signal t[sub 1] closer to t[sub max] and thereby reduce the difference. The circuit may utilize a plurality of stages to reduce the uncertainty by factors of 20--800. 6 figs.
Reduction in maximum time uncertainty of paired time signals
Theodosiou, G.E.; Dawson, J.W.
1981-02-11T23:59:59.000Z
Reduction in the maximum time uncertainty (t/sub max/ - t/sub min/) of a series of paired time signals t/sub 1/ and t/sub 2/ varying between two input terminals and representative of a series of single events where t/sub 1/ less than or equal to t/sub 2/ and t/sub 1/ + t/sub 2/ equals a constant, is carried out with a circuit utilizing a combination of OR and AND gates as signal selecting means and one or more time delays to increase the minimum value (t/sub min/) of the first signal t/sub 1/ closer to t/sub max/ and thereby reduce the difference. The circuit may utilize a plurality of stages to reduce the uncertainty by factors of 20 to 800.
Randomized location service in Mobile Ad Hoc Networks
Bhattacharya, Sangeeta
2003-01-01T23:59:59.000Z
. nodes miuntain location information through flooding. Each node periodically broadcasts its location to the entire network. The location updates are transmitted based on the mobility rate of a node. Thus a node moving faster transmits messages more... often than a slow moving node. Also, far away nodes are updated less I'requently than nearby nodes. Location information is thus maintamcd proactivcly, however, route discovery, that uses the location information, is done in an on-demand fashion...
Frontiers in Global Change Seminar Series
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Biological Statistics and Computational Biology Seminar Series
Keinan, Alon
Science and the Center for Computational Biology and Bioinformatics at Columbia University. Dr. PeBiological Statistics and Computational Biology Seminar Series Dr. Itsik Pe'er Associate Professor of Computer Science Columbia University Itsik Pe'er is an associate professor in the Department of Computer
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Keinan, Alon
. Williams Professor of Biomedical Informations and Co-Director, Yale Computational Biology & Bioinformatics co-director of the Yale Computational Biology and Bioinformatics Program. In addition to the KeckBiological Statistics and Computational Biology Seminar Series Dr. Mark B. Gerstein Albert L
The Centre for Blood Research Seminar Series
Strynadka, Natalie
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Strynadka, Natalie
The Centre for Blood Research Seminar Series Wednesday, March 13th, 2013 LSC 3 - Life Sciences "PARticipating in Metalloprotease Signaling in Blood Vessels" When plaques coating blood vessel walls rupture and expose collagen, platelets spring into action to form a blood clot at the damaged site. Dr. Kuliopulois
Elsevier Oceanography Series, 52 GLOBAL ECOLOGICAL
Duffy, David Cameron
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Series 8000 Available in 3 lengths
Landers, Robert G.
is subjected to automated performance testing prior to shipment. LCM-1 LO-COG ® DC Servo MotorsSeries 8000 magnets enclosed in heavy-gauge steel return rings · Diamond turned commutators ensure maximum brush life · Shaft-mounted pulleys and gears · Ball bearings · Multiple windings · Electromechanical brakes
AALBORGUNIVERSITY DEPARTMENTOFENERGY TECHNOLOGY Transformer in series
Silva, Filipe Faria Da
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Smart Lighting ERC Industrial Speaker Series
Linhardt, Robert J.
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UC Laboratory Safety Systemwide Webinar Series
California at San Diego, University of
UC Laboratory Safety Systemwide Webinar Series Webinars are being developed and will be scheduled Force Report on Improving the Culture of Laboratory Safety in Academic Institutions Speaker: Dr. Robert with existing Cal/OSHA Requirements Speaker: Ken Smith, Systemwide Laboratory Safety Manager PPE Requirements
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2014-2015Series College of Agriculture,
MacAdam, Keith
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Hayes, Jane E.
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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
The McDonald-Mehta Lecture Series
Zhuang, Yu
Challenges for Floating Offshore Wind Turbines Dr. Andrew Kennedy Dr. Jason Jonkman Associate ProfessorThe McDonald-Mehta Lecture Series Fall 2014 National Wind Institute Texas Tech University www.nwi.ttu.edu P.O.Box43155 Lubbock,Texas79409-3155 www.nwi.ttu.edu The National Wind Institute (NWI) at Texas Tech
Working Paper Series Semantic building blocks
Fernandez, Thomas
. These results then suggest several new, theo- retically grounded, research areas. 1 Introduction SubtreeWorking Paper Series Semantic building blocks in genetic programming Nicholas Freitag Mc and Teaching Rodney A. Briggs Library Volume 3 Number 2 December 12, 2007 Faculty and Student Research
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2014 Fall Seminar Series September 19, 2014
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Strynadka, Natalie
The Centre for Blood Research Seminar Series Wednesday, July 17th, 2013 LSC 3 - Life Sciences. The latter represents challenges in regard to cost, safety, ecological friendliness, and process equipment that including >50 mM salts such as NaCitrate with 8 to 10% (w/w) solutions of PAA allowed for almost complete
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Bernstein, Joseph B.
, a postdoctoral researcher at Argonne National Laboratory, an Operations Research Analyst at Arthur D. Little, IncDepartment of Mechanical Engineering 2014 Seminar Series Steven A. Gabriel, Ph.D. Professor Civil), and an M.A. (1989) and Ph.D. (1992) in Mathematical Sci- ences from the Johns Hopkins University. Prior
Plant Pathology 290 Graduate Seminar Series
Ishida, Yuko
Plant Pathology 290 Graduate Seminar Series Winter 2015, CRN 87368 Seminars: Mondays, 9:00am-10:00am 115 Hutchison Date Speaker Title January 5 Steve Whitham, Professor Department of Plant Pathology, Phakopsora pachyrhizi January 12 Andy Jackson, Professor Emeritus Department of Plant and Microbial Biology
Plant Pathology 290 Graduate Seminar Series
Ishida, Yuko
Plant Pathology 290 Graduate Seminar Series Fall 2014 CRN: 57411 Mondays 9:00-10:00am 115 Hutchison Storer Seminar Speaker Professor, Plant Pathology University of Wisconsin-Madison Multi-gene copy number Detection of plant diseases by smell. October 27 Jeremy Warren, PhD Candidate, Plant Pathology Exit Seminar
Plant Pathology 290 Graduate Seminar Series
Ishida, Yuko
Plant Pathology 290 Graduate Seminar Series Spring 2015 Seminars: 9:00am - Mondays 115 Hutchison CRN 47034 Date Speaker Title March 30 Venkatesan Sundaresan, Professor Department of Plant Biology UC of grapevine diseases. May 18 Margaret Lloyd, Ph.D. Candidate Department of Plant Pathology, Gordon Lab UC
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Martin, Alain
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Frontiers in Chemical Imaging Seminar Series
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Boyer, Edmond
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Krovi, Venkat
) boundary layer stability and transition. 206 Furnas Hall Thursday, April 8th, 2010 11:00 am 12:00 pmMAE Seminar Series Boundary Closures for ESWENO Schemes Mark H. Carpenter, Ph.D. Computational AeroSciences Branch NASA Langley Research Center Abstract Energy Stable Weighted Essentially Non--Oscillatory (ESWENO
Frontiers in Global Change Seminar Series
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Physics Meets Biology (LBNL Summer Lecture Series)
Chu, Steve [Director, LBNL
2011-04-28T23:59:59.000Z
Summer Lecture Series 2006: If scientists could take advantage of the awesomely complex and beautiful functioning of biologys natural molecular machines, their potential for application in many disciplines would be incalculable. Nobel Laureate and Director of the Lawrence Berkeley National Laboratory Steve Chu explores Possible solutions to global warming and its consequences.
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Bergman, Keren
SEMINAR: ENERGY SERIES "Emerging High Power Conversion Technologies" Dujic Drazen Professor, Power of embedded renewable energy sources. Whatever the renewable source of the prime energy is (wind, solar, hydro in the broad field of electrical energy generation, conversion and storage. He has received his Dipl. Ing
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Anlage, Steven
simultaneously. The PNA-X Series is designed for measurements of active components, such as power amplifiers, low-noise amplifiers, mixers, converters, T/R modules, and antennas. New applications/measurement functions · Noise sources, a spectrum analyzer and a noise figure analyzer. With the PNA-X, single-connection, multiple
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Assessment of the Revised 3410 Building Filtered Exhaust Stack Sampling Probe Location
Yu, Xiao-Ying; Recknagle, Kurtis P.; Glissmeyer, John A.
2013-12-01T23:59:59.000Z
In order to support the air emissions permit for the 3410 Building, Pacific Northwest National Laboratory performed a series of tests in the exhaust air discharge from the reconfigured 3410 Building Filtered Exhaust Stack. The objective was to determine whether the location of the air sampling probe for emissions monitoring meets the applicable regulatory criteria governing such effluent monitoring systems. In particular, the capability of the air sampling probe location to meet the acceptance criteria of ANSI/HPS N13.1-2011 , Sampling and Monitoring Releases of Airborne Radioactive Substances from the Stack and Ducts of Nuclear Facilities was determined. The qualification criteria for these types of stacks address 1) uniformity of air velocity, 2) sufficiently small flow angle with respect to the axis of the duct, 3) uniformity of tracer gas concentration, and 4) uniformity of tracer particle concentration. Testing was performed to conform to the quality requirements of NQA-1-2000. Fan configurations tested included all fan combinations of any two fans at a time. Most of the tests were conducted at the normal flow rate, while a small subset of tests was performed at a slightly higher flow rate achieved with the laboratory hood sashes fully open. The qualification criteria for an air monitoring probe location are taken from ANSI/HPS N13.1-2011 and are paraphrased as follows with key results summarized: 1. Angular Flow—The average air velocity angle must not deviate from the axis of the stack or duct by more than 20°. Our test results show that the mean angular flow angles at the center two-thirds of the ducts are smaller than 4.5? for all testing conditions. 2. Uniform Air Velocity—The acceptance criterion is that the COV of the air velocity must be ? 20% across the center two thirds of the area of the stack. Our results show that the COVs of the air velocity across the center two-thirds of the stack are smaller than 2.9% for all testing conditions. 3. Uniform Concentration of Tracer Gases—The uniformity of the concentration of potential contaminants is first tested using a tracer gas to represent gaseous effluents. The tracer is injected downstream of the fan outlets and at the junction downstream fan discharges meet. The acceptance criteria are that 1) the COV of the measured tracer gas concentration is ?20% across the center two-thirds of the sampling plane and 2) at no point in the sampling plane does the concentration vary from the mean by >30%. Our test results show that 1) the COV of the measured tracer gas concentration is < 2.9% for all test conditions and 2) at no point in the sampling plane does the concentration vary from the mean by >6.5%. 4. Uniform Concentration of Tracer Particles—Tracer particles of 10-?m aerodynamic diameter are used for the second demonstration of concentration uniformity. The acceptance criterion is that the COV of particle concentration is ? 20% across the center two thirds of the sampling plane. Our test results indicate that the COV of particle concentration is <9.9% across the center two-thirds of the sampling plane among all testing conditions. Thus, the reconfigured 3410 Building Filtered Exhaust Stack was determined to meet the qualification criteria given in the ANSI/HPS N13.1-2011 standard. Changes to the system configuration or operations outside the bounds described in this report (e.g., exhaust stack velocity changes, relocation of sampling probe, and addition of fans) may require re-testing or re-evaluation to determine compliance.
Location Independent Professional Project: A Pilot Study
Hudson, J.A.; Long, J.P.; Miller, M.M.
1999-02-01T23:59:59.000Z
This pilot study project explored the problem of providing access to the nomadic worker who desires to connect a computer through network access points at a number of different locations within the SNL/NM campus as well as outside the campus. The design and prototype development gathered knowledge that may allow a design to be developed that could be extended to a larger number of SNL/NM network drop boxes. The focus was to provide a capability for a worker to access the SNL IRN from a network drop box (e.g. in a conference room) as easily as when accessing the computer network from the office normally used by the worker. Additional study was done on new methods to authenticate the off campus worker, and protect and control access to data.
Locating hardware faults in a parallel computer
Archer, Charles J.; Megerian, Mark G.; Ratterman, Joseph D.; Smith, Brian E.
2010-04-13T23:59:59.000Z
Locating hardware faults in a parallel computer, including defining within a tree network of the parallel computer two or more sets of non-overlapping test levels of compute nodes of the network that together include all the data communications links of the network, each non-overlapping test level comprising two or more adjacent tiers of the tree; defining test cells within each non-overlapping test level, each test cell comprising a subtree of the tree including a subtree root compute node and all descendant compute nodes of the subtree root compute node within a non-overlapping test level; performing, separately on each set of non-overlapping test levels, an uplink test on all test cells in a set of non-overlapping test levels; and performing, separately from the uplink tests and separately on each set of non-overlapping test levels, a downlink test on all test cells in a set of non-overlapping test levels.