Denoising Deterministic Time Series
Steven P. Lalley; Andrew B. Nobel
2006-04-21
This paper is concerned with the problem of recovering a finite, deterministic time series from observations that are corrupted by additive, independent noise. A distinctive feature of this problem is that the available data exhibit long-range dependence and, as a consequence, existing statistical theory and methods are not readily applicable. This paper gives an analysis of the denoising problem that extends recent work of Lalley, but begins from first principles. Both positive and negative results are established. The positive results show that denoising is possible under somewhat restrictive conditions on the additive noise. The negative results show that, under more general conditions on the noise, no procedure can recover the underlying deterministic series.
Time Series Analysis 1 Time series in astronomy
Babu, G. Jogesh
(supernovae, gamma-ray bursts) Difficulties in astronomical time series Gapped data streams: Diurnal & monthly phenomena: thermonuclear (novae, X-ray bursts), magnetic reconnection (solar/stellar flares), star death); pulsation (helioseismology, Cepheids) Stochastic phenomena: accretion (CVs, X-ray binaries, Seyfert gals
Integrated method for chaotic time series analysis
Hively, L.M.; Ng, E.G.
1998-09-29
Methods and apparatus for automatically detecting differences between similar but different states in a nonlinear process monitor nonlinear data are disclosed. Steps include: acquiring the data; digitizing the data; obtaining nonlinear measures of the data via chaotic time series analysis; obtaining time serial trends in the nonlinear measures; and determining by comparison whether differences between similar but different states are indicated. 8 figs.
Integrated method for chaotic time series analysis
Hively, Lee M. (Philadelphia, TN); Ng, Esmond G. (Concord, TN)
1998-01-01
Methods and apparatus for automatically detecting differences between similar but different states in a nonlinear process monitor nonlinear data. Steps include: acquiring the data; digitizing the data; obtaining nonlinear measures of the data via chaotic time series analysis; obtaining time serial trends in the nonlinear measures; and determining by comparison whether differences between similar but different states are indicated.
Regression quantiles for time series
Cai, Zongwu
2002-02-01
~see, e+g+, Ibragimov and Linnik, 1971, p+ 316!+ Namely, partition REGRESSION QUANTILES FOR TIME SERIES 187 $1, + + + , n% into 2qn 1 1 subsets with large block of size r 5 rn and small block of size s 5 sn+ Set q 5 qn 5 ? n rn 1 sn? , (A.7) where {x...! are the standard 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
2010-01-01
Time Series by Nathan Kirk Coehlo A dissertation submittedCopyright 2010 by Nathan Kirk Coehlo Abstract DetectionTime Series by Nathan Kirk Coehlo Doctor of Philosophy in
Statistical criteria for characterizing irradiance time series.
Stein, Joshua S.; Ellis, Abraham; Hansen, Clifford W.
2010-10-01
We propose and examine several statistical criteria for characterizing time series of solar irradiance. Time series of irradiance are used in analyses that seek to quantify the performance of photovoltaic (PV) power systems over time. Time series of irradiance are either measured or are simulated using models. Simulations of irradiance are often calibrated to or generated from statistics for observed irradiance and simulations are validated by comparing the simulation output to the observed irradiance. Criteria used in this comparison should derive from the context of the analyses in which the simulated irradiance is to be used. We examine three statistics that characterize time series and their use as criteria for comparing time series. We demonstrate these statistics using observed irradiance data recorded in August 2007 in Las Vegas, Nevada, and in June 2009 in Albuquerque, New Mexico.
Multivariate Time Series Forecasting in Incomplete Environments
Roberts, Stephen
Multivariate Time Series Forecasting in Incomplete Environments Technical Report PARG 08-03 Seung of Oxford December 2008 #12;Seung Min Lee and Stephen J. Roberts Technical Report PARG 08-03 Multivariate missing observations and forecasting future values in incomplete multivariate time series data. We study
Times Series Study of Effects of Petroleum Production on GDP
Ballinger, Leslie 1991-
2012-05-02
development. The countries studied include: Argentina, Canada, Colombia, the United States, Mexico, Venezuela, Peru, and Indonesia. The dates of analysis are different for every country due to data reliability. This paper focuses mainly on a time series...
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 ...
Can biomass time series be reliably assessed from CPUE time series data Francis Lalo1
Hawai'i at Manoa, University of
1 Can biomass time series be reliably assessed from CPUE time series data only? Francis Laloë1 to abundance. This means (i) that catchability is constant and (ii) that all the biomass is catchable. If so, relative variations in CPUE indicate the same relative variations in biomass. Myers and Worm consider
Nonlinear time-series analysis revisited
Elizabeth Bradley; Holger Kantz
2015-03-25
In 1980 and 1981, two pioneering papers laid the foundation for what became known as nonlinear time-series analysis: the analysis of observed data---typically univariate---via dynamical systems theory. Based on the concept of state-space reconstruction, this set of methods allows us to compute characteristic quantities such as Lyapunov exponents and fractal dimensions, to predict the future course of the time series, and even to reconstruct the equations of motion in some cases. In practice, however, there are a number of issues that restrict the power of this approach: whether the signal accurately and thoroughly samples the dynamics, for instance, and whether it contains noise. Moreover, the numerical algorithms that we use to instantiate these ideas are not perfect; they involve approximations, scale parameters, and finite-precision arithmetic, among other things. Even so, nonlinear time-series analysis has been used to great advantage on thousands of real and synthetic data sets from a wide variety of systems ranging from roulette wheels to lasers to the human heart. Even in cases where the data do not meet the mathematical or algorithmic requirements to assure full topological conjugacy, the results of nonlinear time-series analysis can be helpful in understanding, characterizing, and predicting dynamical systems.
Segmenting Time Series for Weather Forecasting
Reiter, Ehud
summarisation. We found three alternative ways in which we could model data summarisation. One approach is based turbines. In the domain of meteorology, time series data produced by numerical weather prediction (NWP) models is summarised as weather forecast texts. In the domain of gas turbines, sensor data from
Random Matrix Spectra as a Time Series
Ruben Fossion; Gamaliel Torres Vargas; Juan Carlos López Vieyra
2013-11-23
Spectra of ordered eigenvalues of finite Random Matrices are interpreted as a time series. Dataadaptive techniques from signal analysis are applied to decompose the spectrum in clearly differentiated trend and fluctuation modes, avoiding possible artifacts introduced by standard unfolding techniques. The fluctuation modes are scale invariant and follow different power laws for Poisson and Gaussian ensembles, which already during the unfolding allows to distinguish the two cases.
Normalizing the causality between time series
Liang, X San
2015-01-01
Recently, a rigorous yet concise formula has been derived to evaluate the information flow, and hence the causality in a quantitative sense, between time series. To assess the importance of a resulting causality, it needs to be normalized. The normalization is achieved through distinguishing three types of fundamental mechanisms that govern the marginal entropy change of the flow recipient. A normalized or relative flow measures its importance relative to other mechanisms. In analyzing realistic series, both absolute and relative information flows need to be taken into account, since the normalizers for a pair of reverse flows belong to two different entropy balances; it is quite normal that two identical flows may differ a lot in relative importance in their respective balances. We have reproduced these results with several autoregressive models. We have also shown applications to a climate change problem and a financial analysis problem. For the former, reconfirmed is the role of the Indian Ocean Dipole as ...
Feature-preserving interpolation and filtering of environmental time series
Mariethoz, Gregoire; Jougnot, Damien; Rezaee, Hassan
2015-01-01
We propose a method for filling gaps and removing interferences in time series for applications involving continuous monitoring of environmental variables. The approach is non-parametric and based on an iterative pattern-matching between the affected and the valid parts of the time series. It considers several variables jointly in the pattern matching process and allows preserving linear or non-linear dependences between variables. The uncertainty in the reconstructed time series is quantified through multiple realizations. The method is tested on self-potential data that are affected by strong interferences as well as data gaps, and the results show that our approach allows reproducing the spectral features of the original signal. Even in the presence of intense signal perturbations, it significantly improves the signal and corrects bias introduced by asymmetrical interferences. Potential applications are wide-ranging, including geophysics, meteorology and hydrology.
Univariate Modeling and Forecasting of Monthly Energy Demand Time Series
Abdel-Aal, Radwan E.
Univariate Modeling and Forecasting of Monthly Energy Demand Time Series Using Abductive and Neural networks, Neural networks, Modeling, Forecasting, Energy demand, Time series forecasting, Power system demand time series based only on data for six years to forecast the demand for the seventh year. Both
Exact Primitives for Time Series Data Mining
Mueen, Abdullah Al
2012-01-01
G. Silva, and Rui M. M. Brito. Mining approximate motifs intime series. In Data Mining, 2001. ICDM 2001, Proceedingson Knowledge discovery and data mining, KDD, pages 947–956,
Mining Time Series Data: Flying Insect Classification and Detection
Chen, Yanping
2015-01-01
Application of Data Mining. ” KDD'11: 761-764, 2011. G.Wang, E. J. Keogh. “Querying and mining of time series data.Mining
Time Series Photometry Data: Standard Access, Standard Formats
Holl, András
Time Series Photometry Data: Standard Access, Standard Formats Andr#19; as Holl Konkoly Observatory a discussion on data access and #12;le format aspects of photometry. Introduction Presently there is time series photometry data available in public databases, but the access to these varies from one collection
Efficient Mining of Partial Periodic Patterns in Time Series Database
Dong, Guozhu
Efficient Mining of Partial Periodic Patterns in Time Series Database In ICDE 99 Jiawei Han \\Lambda peri odic patterns in timeseries databases, is an interesting data mining problem. Previous studies several algorithms for efficient mining of par tial periodic patterns, by exploring some interesting
A Multivariate Approach to Estimate Complexity of FMRI Time Series
A Multivariate Approach to Estimate Complexity of FMRI Time Series Henry 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
Generalized Volterra-Wiener and surrogate data methods for complex time series analysis
Shashidhar, Akhil
2006-01-01
This thesis describes the current state-of-the-art in nonlinear time series analysis, bringing together approaches from a broad range of disciplines including the non-linear dynamical systems, nonlinear modeling theory, ...
Multiple Time Series 7.1 Introduction
Penny, Will
, W.D. Penny, April 2000. 7.2.1 CrossÂcorrelation is asymmetric First, we reÂcap as to why the auto, W.D. Penny, April 2000. 89 (a) 0 20 40 60 80 100 -2 -1 0 1 2 3 4 Figure 7.1: Signals x t (top) and y this should occur ? #12; 90 Signal Processing Course, W.D. Penny, April 2000. 7.2.3 TimeÂDelay Estimation
Modeling Time Series of Real Systems using Genetic Programming
Dilip P. Ahalpara; Jitendra C. Parikh
2006-07-14
Analytic models of two computer generated time series (Logistic map and Rossler system) and two real time series (ion saturation current in Aditya Tokamak plasma and NASDAQ composite index) are constructed using Genetic Programming (GP) framework. In each case, the optimal map that results from fitting part of the data set also provides a very good description of rest of the data. Predictions made using the map iteratively range from being very good to fair.
First time-series optical photometry from Antarctica
K. G. Strassmeier; R. Briguglio; T. Granzer; G. Tosti; I. DiVarano; I. Savanov; M. Bagaglia; S. Castellini; A. Mancini; G. Nucciarelli; O. Straniero; E. Distefano; S. Messina; G. Cutispoto
2008-07-18
Beating the Earth's day-night cycle is mandatory for long and continuous time-series photometry and had been achieved with either large ground-based networks of observatories at different geographic longitudes or when conducted from space. A third possibility is offered by a polar location with astronomically-qualified site characteristics. Aims. In this paper, we present the first scientific stellar time-series optical photometry from Dome C in Antarctica and analyze approximately 13,000 CCD frames taken in July 2007. We conclude that high-precision CCD photometry with exceptional time coverage and cadence can be obtained at Dome C in Antarctica and be successfully used for time-series astrophysics.
Resampling Methodology in Spatial Prediction and Repeated Measures Time Series
Rister, Krista Dianne
2012-02-14
of an SEM image. . . . . . . . . . . . . . . . . . . . . . . . 56 10 Framework of time time series representation of SEM image. . . . . . 57 11 Approximate values of f(L; ?, ?) for L = 200 for varying values of ?. 63 12 Bootstrap variance estimates... Cor- rected Predictor . . . . . . . . . . . . . . . . . . . . . 20 3. Bias of Predictors . . . . . . . . . . . . . . . . . . . . 21 F. Simulations . . . . . . . . . . . . . . . . . . . . . . . . . . 26 1. Framework...
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
Time series of a CME blasting out from the Sun
Christian, Eric
#12;Time series of a CME blasting out from the Sun Composite image of the Sun in UV light with the naked eye, the Sun seems static, placid, constant. From the ground, the only notice- able variations in the Sun are its location (where will it rise and set today?) and its color (will clouds cover
Symbolic Dynamic Analysis of Transient Time Series for Fault
Ray, Asok
Symbolic Dynamic Analysis of Transient Time Series for Fault Detection in Gas Turbine Engines paper presents a symbolic dynamics-based method for detection of incipient faults in gas turbine engines dynamics, fault detection, aircraft gas turbine engines 1 Introduction Performance monitoring of aircraft
Chaotic time series prediction using artificial neural networks
Bartlett, E.B.
1991-12-31
This paper describes the use of artificial neural networks to model the complex oscillations defined by a chaotic Verhuist animal population dynamic. A predictive artificial neural network model is developed and tested, and results of computer simulations are given. These results show that the artificial neural network model predicts the chaotic time series with various initial conditions, growth parameters, or noise.
Chaotic time series prediction using artificial neural networks
Bartlett, E.B.
1991-01-01
This paper describes the use of artificial neural networks to model the complex oscillations defined by a chaotic Verhuist animal population dynamic. A predictive artificial neural network model is developed and tested, and results of computer simulations are given. These results show that the artificial neural network model predicts the chaotic time series with various initial conditions, growth parameters, or noise.
Pulse transmission transmitter including a higher order time derivate filter
Dress, Jr., William B.; Smith, Stephen F.
2003-09-23
Systems and methods for pulse-transmission low-power communication modes are disclosed. A pulse transmission transmitter includes: a clock; a pseudorandom polynomial generator coupled to the clock, the pseudorandom polynomial generator having a polynomial load input; an exclusive-OR gate coupled to the pseudorandom polynomial generator, the exclusive-OR gate having a serial data input; a programmable delay circuit coupled to both the clock and the exclusive-OR gate; a pulse generator coupled to the programmable delay circuit; and a higher order time derivative filter coupled to the pulse generator. The systems and methods significantly reduce lower-frequency emissions from pulse transmission spread-spectrum communication modes, which reduces potentially harmful interference to existing radio frequency services and users and also simultaneously permit transmission of multiple data bits by utilizing specific pulse shapes.
Discrimination of Locally Stationary Time Series Based on the Excess Mass Functional
Polonik, Wolfgang
Discrimination of Locally Stationary Time Series Based on the Excess Mass Functional Gabriel CHANDLER and Wolfgang POLONIK Discrimination of time series is an important practical problem the time series. Instead, features are measured for each time series, and discrimination is based
Nonlinear chaos in temperature time series: Part I: Case studies
Yaron Rosenstein; Gal Zahavi
2012-11-27
In this work we present 3 case studies of local temperature time series obtained from stations in Europe and Israel. The nonlinear nature of the series is presented along with model based forecasting. Data is nonlinearly filtered using high dimensional projection and analysis is performed on the filtered data. A lorenz type model of 3 first order ODEs is then fitted. Forecasts are shown for periods of 100 days ahead, outperforming any existing forecast method known today. While other models fail at forecasting periods above 11 days, ours shows remarkable stability 100 days ahead. Thus finally a local dynamical system if found for local temperature forecasting not requiring solution of Navier-Stokes equations. Thus saving computational costs.
Characterizing Weak Chaos using Time Series of Lyapunov Exponents
R. M. da Silva; C. Manchein; M. W. Beims; E. G. Altmann
2015-06-13
We investigate chaos in mixed-phase-space Hamiltonian systems using time series of the finite- time Lyapunov exponents. The methodology we propose uses the number of Lyapunov exponents close to zero to define regimes of ordered (stickiness), semi-ordered (or semi-chaotic), and strongly chaotic motion. The dynamics is then investigated looking at the consecutive time spent in each regime, the transition between different regimes, and the regions in the phase-space associated to them. Applying our methodology to a chain of coupled standard maps we obtain: (i) that it allows for an improved numerical characterization of stickiness in high-dimensional Hamiltonian systems, when compared to the previous analyses based on the distribution of recurrence times; (ii) that the transition probabilities between different regimes are determined by the phase-space volume associated to the corresponding regions; (iii) the dependence of the Lyapunov exponents with the coupling strength.
Reliability analysis of electric power systems including time dependent sources
Kim, Younjong
1987-01-01
Chairman of Advisory Committee: Chanan Singh A method for reliability analysis of electric power systems with time dependent sources, such as photovoltaic and wind generation, is introduced. The fluctuating characteristic of unconventional generation... and active solar. wind, geothermal, and hydropower. Of all the renewable energy technologies that have been the focus of encouraging government and private R k D efforts, photovoltaic generation and wind turbine generation appear to be the leading...
Short residence time coal liquefaction process including catalytic hydrogenation
Anderson, R.P.; Schmalzer, D.K.; Wright, C.H.
1982-05-18
Normally solid dissolved coal product and a distillate liquid product are produced by continuously passing a feed slurry comprising raw feed coal and a recycle solvent oil and/or slurry together with hydrogen to a preheating-reaction zone, the hydrogen pressure in the preheating-reaction zone being at least 1,500 psig (105 kg/cm[sup 2]), reacting the slurry in the preheating-reaction zone at a temperature in the range of between about 455 and about 500 C to dissolve the coal to form normally liquid coal and normally solid dissolved coal. A total slurry residence time is maintained in the reaction zone ranging from a finite value from about 0 to about 0.2 hour, and reaction effluent is continuously and directly contacted with a quenching fluid to substantially immediately reduce the temperature of the reaction effluent to below 425 C to substantially inhibit polymerization so that the yield of insoluble organic matter comprises less than 9 weight percent of said feed coal on a moisture-free basis. The reaction is performed under conditions of temperature, hydrogen pressure and residence time such that the quantity of distillate liquid boiling within the range C[sub 5]-454 C is an amount at least equal to that obtainable by performing the process under the same condition except for a longer total slurry residence time, e.g., 0.3 hour. Solvent boiling range liquid is separated from the reaction effluent and recycled as process solvent. The amount of solvent boiling range liquid is sufficient to provide at least 80 weight percent of that required to maintain the process in overall solvent balance. 6 figs.
Short residence time coal liquefaction process including catalytic hydrogenation
Anderson, Raymond P. (Overland Park, KS); Schmalzer, David K. (Englewood, CO); Wright, Charles H. (Overland Park, KS)
1982-05-18
Normally solid dissolved coal product and a distillate liquid product are produced by continuously passing a feed slurry comprising raw feed coal and a recycle solvent oil and/or slurry together with hydrogen to a preheating-reaction zone (26, alone, or 26 together with 42), the hydrogen pressure in the preheating-reaction zone being at least 1500 psig (105 kg/cm.sup.2), reacting the slurry in the preheating-reaction zone (26, or 26 with 42) at a temperature in the range of between about 455.degree. and about 500.degree. C. to dissolve the coal to form normally liquid coal and normally solid dissolved coal. A total slurry residence time is maintained in the reaction zone ranging from a finite value from about 0 to about 0.2 hour, and reaction effluent is continuously and directly contacted with a quenching fluid (40, 68) to substantially immediately reduce the temperature of the reaction effluent to below 425.degree. C. to substantially inhibit polymerization so that the yield of insoluble organic matter comprises less than 9 weight percent of said feed coal on a moisture-free basis. The reaction is performed under conditions of temperature, hydrogen pressure and residence time such that the quantity of distillate liquid boiling within the range C.sub.5 -454.degree. C. is an amount at least equal to that obtainable by performing the process under the same condition except for a longer total slurry residence time, e.g., 0.3 hour. Solvent boiling range liquid is separated from the reaction effluent (83) and recycled as process solvent (16). The amount of solvent boiling range liquid is sufficient to provide at least 80 weight percent of that required to maintain the process in overall solvent balance.
Time series power flow analysis for distribution connected PV generation.
Broderick, Robert Joseph; Quiroz, Jimmy Edward; Ellis, Abraham; Reno, Matthew J.; Smith, Jeff; Dugan, Roger
2013-01-01
Distributed photovoltaic (PV) projects must go through an interconnection study process before connecting to the distribution grid. These studies are intended to identify the likely impacts and mitigation alternatives. In the majority of the cases, system impacts can be ruled out or mitigation can be identified without an involved study, through a screening process or a simple supplemental review study. For some proposed projects, expensive and time-consuming interconnection studies are required. The challenges to performing the studies are twofold. First, every study scenario is potentially unique, as the studies are often highly specific to the amount of PV generation capacity that varies greatly from feeder to feeder and is often unevenly distributed along the same feeder. This can cause location-specific impacts and mitigations. The second challenge is the inherent variability in PV power output which can interact with feeder operation in complex ways, by affecting the operation of voltage regulation and protection devices. The typical simulation tools and methods in use today for distribution system planning are often not adequate to accurately assess these potential impacts. This report demonstrates how quasi-static time series (QSTS) simulation and high time-resolution data can be used to assess the potential impacts in a more comprehensive manner. The QSTS simulations are applied to a set of sample feeders with high PV deployment to illustrate the usefulness of the approach. The report describes methods that can help determine how PV affects distribution system operations. The simulation results are focused on enhancing the understanding of the underlying technical issues. The examples also highlight the steps needed to perform QSTS simulation and describe the data needed to drive the simulations. The goal of this report is to make the methodology of time series power flow analysis readily accessible to utilities and others responsible for evaluating potential PV impacts.
EMCS and time-series energy data analysis in a large government office building
Piette, Mary Ann; Kinney, Satkartar; Friedman, Hannah
2001-01-01
th EMCS and Time-Series Energy Data Analysis in a LargeEMCS and Time-Series Energy Data Analysis in a Largeyears of utility bill energy data to evaluate whole-building
New Problems for an Old Design: Time-Series Analyses of Air Pollution and Health
Dominici, Francesca
New Problems for an Old Design: Time-Series Analyses of Air Pollution and Health Jonathan M. Samet1 of particulate air pollution on the same or recent days (1;2). Studies of similar time-series design of morbidity for adverse effects of particulate air pollution on the public's health. The daily time-series studies of air
Exposure Measurement Error in Time-Series Studies of Air Pollution: Concepts and Consequences
Dominici, Francesca
1 Exposure Measurement Error in Time-Series Studies of Air Pollution: Concepts and Consequences S in time-series studies 1 11/11/99 Keywords: measurement error, air pollution, time series, exposure of air pollution and health. Because measurement error may have substantial implications for interpreting
Ray, Asok
February 8, 2015 16:49 World Scientific Review Volume - 9in x 6in "time-series classification" page:49 World Scientific Review Volume - 9in x 6in "time-series classification" page 2 2 S. Bahrampour and N. M
SumTime-Turbine: A Knowledge-Based System to Communicate Gas Turbine Time-Series Data
Reiter, Ehud
SumTime-Turbine: A Knowledge-Based System to Communicate Gas Turbine Time-Series Data Jin Yu of Aberdeen Aberdeen, AB24 3UE, UK {jyu, ereiter, jhunter, ssripada}@csd.abdn.ac.uk Abstract: SumTime-Turbine produces textual summaries of archived time- series data from gas turbines. These summaries should help
On the long-term correlations and multifractal properties of electric arc furnace time series
Livi, Lorenzo; Rizzi, Antonello; Sadeghian, Alireza
2015-01-01
In this paper, we study long-term correlations and multifractal properties elaborated from time series of three-phase current signals coming from an industrial electric arc furnace plant. Implicit sinusoidal trends are suitably detected in the scaling of the fluctuation function of such time series. Time series are then initially filtered via a Fourier based analysis, removing hence such strong periodicities. In the filtered time series we detected long-term, positive correlations. The presence of persistent correlations is in agreement with the typical V--I characteristic (hysteresis) of the electric arc furnace, justifying thus the memory effects found in the current time series. The multifractal signature is strong enough in the filtered time series to be effectively classified as multifractal.
Tataw, Oben Moses
2013-01-01
International Conference on Data Mining (2001). Khairy, K. ,and Eamonn Keogh (2011). Mining Historical Documents forWang, E. J. Keogh. Querying and mining of time series data.
348 Book Reviews Nonlinear Time Series: Nonparametric and Parametric Methods.
Fan, Jianqing
diagnostics, and then computes optimal predictors for future values of the series. Autoregressive moving aver of topics covered in this book makes for a large and awk- ward load. It is like coming home from the grocery, and breaks, and some items are lost altogether. This book has scratches scattered throughout, in the form
Input Data Reduction for the Prediction of Financial Time Series
Verleysen, Michel
on data from the BEL20 market index. 1. Introduction Since the beginning of this century, the question of the predictability of financial series (at least of stock market prices) has been the subject of a highly. To perform the transformation between the initial inputs and the new variables, we may choose to use a linear
Siggiridou, Elsa
2015-01-01
Granger causality has been used for the investigation of the inter-dependence structure of the underlying systems of multi-variate time series. In particular, the direct causal effects are commonly estimated by the conditional Granger causality index (CGCI). In the presence of many observed variables and relatively short time series, CGCI may fail because it is based on vector autoregressive models (VAR) involving a large number of coefficients to be estimated. In this work, the VAR is restricted by a scheme that modifies the recently developed method of backward-in-time selection (BTS) of the lagged variables and the CGCI is combined with BTS. Further, the proposed approach is compared favorably to other restricted VAR representations, such as the top-down strategy, the bottom-up strategy, and the least absolute shrinkage and selection operator (LASSO), in terms of sensitivity and specificity of CGCI. This is shown by using simulations of linear and nonlinear, low and high-dimensional systems and different t...
Functional Coefficient Regression Models for Non-linear Time Series: A Polynomial
Shen, Haipeng
Functional Coefficient Regression Models for Non-linear Time Series: A Polynomial Spline Approach of functional coefficient regression models for non-linear time series. Consistency and rate of convergence to estimate the coefficient functions. Cai et al. (2000) and Chen & Liu (2001) used the local linear method
A regression model with a hidden logistic process for feature extraction from time series
Chamroukhi, Faicel
A regression model with a hidden logistic process for feature extraction from time series Faicel from time series is proposed in this paper. This approach consists of a specific regression model Reweighted Least-Squares (IRLS) algorithm. A piecewise regression algorithm and its iterative variant have
Discrimination and Classification of Nonstationary Time Series using the SLEX Model
Discrimination and Classification of Nonstationary Time Series using the SLEX Model Hsiao-Yun Huang scheme based on the SLEX (Smooth Localized Complex EXponential) library. The SLEX library forms domains. Thus, the SLEX library has the ability to extract local spectral features of the time series
Discrimination and Classification of Nonstationary Time Series Using the SLEX Model
Discrimination and Classification of Nonstationary Time Series Using the SLEX Model Hsiao-Yun HUANG a discriminant scheme based on the SLEX (smooth localized complex exponential) library. The SLEX library forms domains. Thus, the SLEX library has the ability to extract local spectral features of the time series
A test for second order stationarity of a time series based on the Discrete Fourier Transform
Subba Rao, Suhasini
A test for second order stationarity of a time series based on the Discrete Fourier Transform property, we construct a Portmanteau type test statistic for testing stationarity of the time series. It is shown that under the null of stationarity, the test statistic is approximately a chi square distribution
Abstract--We present a method to integrate environmental time series
89 Abstract--We present a method to integrate environmental time series into stock assessment). A general framework for integrating environmental time series into stock assessment models: model models and to test the significance of correlations between population processes and the environmental
SVG and Geo Web Services for visualization of time series data of flood risk Barend Kbben
Köbben, Barend
SVG and Geo Web Services for visualization of time series data of flood risk Barend Köbben. The Open Geospatial Consortiums Web Map Service (WMS) specification is no doubt the most widely implemented webservices Open Web Services specifications Time series in WMS RIMapperWMS: SVG from WMS SVG animation of Geo-WebServices
Detecting Climate Change in Multivariate Time Series Data by Novel Clustering and Cluster Tracing Aachen University, Germany {kremer, guennemann, seidl}@cs.rwth-aachen.de Abstract--Climate change can series, and trace the clusters over time. A climate pattern is categorized as a changing pattern
Cirpka, Olaf Arie
Stochastic Generation of Synthetic Precipitation Time Series with High Temporal and Spatial.Brommundt@iws.uni-stuttgart.de Introduction The stochastic precipitation time series generator, NiedSim, has been developed and installed been generated. In the year 2004 NiedSim was set up for Hessen and Rheinland-Pfalz. The total project
Towards Never-Ending Learning from Time Series Streams , Yanping Chen*
Zordan, Victor
that an email is sent to the building supervisor with a picture of the patterns and any other useful metadata a time series produced by a light sensor at Soda Hall in Berkley. While the sensor will produce data sensors at Soda Hall produce a never- ending time series, of which we can cache only a small subset main
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
A METHOD FOR IDENTIFYING REPETITION STRUCTURE IN MUSICAL AUDIO BASED ON TIME SERIES PREDICTION
Dixon, Simon
A METHOD FOR IDENTIFYING REPETITION STRUCTURE IN MUSICAL AUDIO BASED ON TIME SERIES PREDICTION This paper investigates techniques for determining the repeti- tion structure of musical audio. In particular. To this end, we propose a novel approach based on multivari- ate time series modelling of audio features
Summarizing Neonatal Time Series Data Somayajulu G. Sripada, Ehud Reiter, Jim Hunter and Jin Yu
a time series. We are building a system to summarize physiological times series data such as heart rate forecasts from weather data such as wind speed, wind direction, and wave heights. In gas turbines we pressure sampled every second for three hours. Figure 2 shows its summary extracted from a small corpus
Summarizing Neonatal Time Series Data Somayajulu G. Sripada, Ehud Reiter, Jim Hunter and Jin Yu
Reiter, Ehud
a time series. We are building a system to summarize physiological times series data such as heart rate forecasts from weather data such as wind speed, wind direction, and wave heights. In gas turbines we for three hours. Figure 2 shows its summary extracted from a small corpus of human written summaries we
Modelling signal interactions with application to financial time series
Jain, Bonny
2014-01-01
In this thesis, we concern ourselves with the problem of reasoning over a set of objects evolving over time that are coupled through interaction structures that are themselves changing over time. We focus on inferring ...
Plotkin, S.; Stephens, T.; McManus, W.
2013-03-01
Scenarios of new vehicle technology deployment serve various purposes; some will seek to establish plausibility. This report proposes two reality checks for scenarios: (1) implications of manufacturing constraints on timing of vehicle deployment and (2) investment decisions required to bring new vehicle technologies to market. An estimated timeline of 12 to more than 22 years from initial market introduction to saturation is supported by historical examples and based on the product development process. Researchers also consider the series of investment decisions to develop and build the vehicles and their associated fueling infrastructure. A proposed decision tree analysis structure could be used to systematically examine investors' decisions and the potential outcomes, including consideration of cash flow and return on investment. This method requires data or assumptions about capital cost, variable cost, revenue, timing, and probability of success/failure, and would result in a detailed consideration of the value proposition of large investments and long lead times. This is one of a series of reports produced as a result of the Transportation Energy Futures (TEF) project, a Department of Energy-sponsored multi-agency effort to pinpoint underexplored strategies for abating GHGs and reducing petroleum dependence related to transportation.
Plotkin, Steve; Stephens, Thomas; McManus, Walter
2013-03-01
Scenarios of new vehicle technology deployment serve various purposes; some will seek to establish plausibility. This report proposes two reality checks for scenarios: (1) implications of manufacturing constraints on timing of vehicle deployment and (2) investment decisions required to bring new vehicle technologies to market. An estimated timeline of 12 to more than 22 years from initial market introduction to saturation is supported by historical examples and based on the product development process. Researchers also consider the series of investment decisions to develop and build the vehicles and their associated fueling infrastructure. A proposed decision tree analysis structure could be used to systematically examine investors' decisions and the potential outcomes, including consideration of cash flow and return on investment. This method requires data or assumptions about capital cost, variable cost, revenue, timing, and probability of success/failure, and would result in a detailed consideration of the value proposition of large investments and long lead times. This is one of a series of reports produced as a result of the Transportation Energy Futures (TEF) project, a Department of Energy-sponsored multi-agency effort to pinpoint underexplored strategies for abating GHGs and reducing petroleum dependence related to transportation.
A New Architecture for Summarising Time Series Data
Sripada, Yaji
of the systems developed in the SumTime Project2 ) summarises sensor data from gas turbines. This is challenging because of the large amount of data being summarised; a typical gas turbine has 250 ana- logue data generation techniques to produce summaries of such data. A short extract from SumTime-Turbine's input data
A FAST MODEL-BUILDING METHOD FOR TIME SERIES USING GENETIC PROGRAMMING
Fernandez, Thomas
generation, initial values of the parameters in an model (offspring) are inherited from the parents. step-2 series and applied it to lots of time series: (1) computer generated chaos e.g. Logistic, Loessler is made by using a set of finite number of past values measured from the system )x,,x,(xfx~ n-t2-t1-tt
IMPROVED SEMI-PARAMETRIC TIME SERIES MODELS OF AIR POLLUTION AND MORTALITY
Dominici, Francesca
IMPROVED SEMI-PARAMETRIC TIME SERIES MODELS OF AIR POLLUTION AND MORTALITY Francesca Dominici series analyses of air pollution and health attracted the attention of the scientific community, policy makers, the press, and the diverse stakeholders con- cerned with air pollution. As the Environmental
2001, Applied Statistics, 50, 143-154. Nonlinear autoregressive time series with multivariate
Glasbey, Chris
series is proposed to model solar radiation data, by specifying joint marginal distributions at low lags, Multiprocess dynamic linear model, Solar radiation 1 Introduction Knowledge of the statistical characteristics of time series of solar radiation has many uses, one of which is in the design and evaluation of solar
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
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
Time series models with an EGB2 conditional distribution
Harvey, Andrew; Caivano, Michele
2013-07-17
function; see Kleiber4 and Kotz (2003, ch6). The GB2 distribution contains many important distributions as special cases, including the Burr (#24; = 1) and log-logistic (#24; = 1; & = 1). GB2 distributions are fat tailed for ?nite #24; and & with upper... and lower tail indices of #17; = and #17; = #24;#23; respectively. The absolute value5 of a tf variate is GB2(f 1=2'; 2; 1=2; f=2) with tail index is #17; = #17; = f: 4Note that Kleiber and Kotz (2003) have #11; and #23; in reverse order, ie they write...
Siracusa, Michael Richard, 1980-
2009-01-01
In this dissertation we investigate the problem of reasoning over evolving structures which describe the dependence among multiple, possibly vector-valued, time-series. Such problems arise naturally in variety of settings. ...
Time Series Methods for ForecastingElectricityMarket Pricing Zoran Obradovic Kevin Tomsovic
Obradovic, Zoran
of traditional commodities, such as,oil or agricultural products. Clearly, assessing the effectivenessTime Series Methods for ForecastingElectricityMarket Pricing Zoran Obradovic Kevin Tomsovic PO Box
Time-Series Classification of High-Temporal Resolution AVHRR NDVI Imagery of Mexico
Egbert, Stephen L.; Ortega-Huerta, Miguel; Martí nez-Meyer, Enrique; Price, Kevin P.; Peterson, A. Townsend
2000-01-01
Time-series data from wide-field sensors, acquired for the period of a growing season or longer, capitalize on phenological changes in vegetation and make it possible to identify vegetated land cover types in greater detail. ...
Time Series and the Dynamics of Demand Pacing Daniel T. Kaplan
Kaplan, Daniel T.
Time Series and the Dynamics of Demand Pacing Daniel T. Kaplan Dept. of Mathematics & Computer on in Kaplan2 and Christini and Kaplan3 . Along with the theory, I will detail some of the signal processing
Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering
Noor, Amina
2012-10-19
This thesis considers the problem of learning the structure of gene regulatory networks using gene expression time series data. A more realistic scenario where the state space model representing a gene network evolves nonlinearly is considered while...
Mining Time Series Data: Moving from Toy Problems to Realistic Deployments
Hu, Bing
2013-01-01
Conference on Data Mining, 2010 V. Chandola, A. Banerjee,and E. Keogh. “ Querying and Mining of Time Series Data:2 nd Workshop on Temporal Data Mining, 2002 K. Malatesta, S.
A Time Series Analysis of Microarray Data Selnur Erdal1,2
Ferhatosmanoglu, Hakan
by algorithms that can extract and cluster related behaviors from the full population of time-series behaviors observed. Although traditional clus- tering techniques have shown to be effective for certain types
Analysis of MODIS 250 m NDVI Using Different Time-Series Data for Crop Type Separability
Lee, Eunmok
2014-08-31
The primary objectives of this research were to: (1) investigate the use of different compositing periods of NDVI values of time-series MODIS 250 m data for distinguishing major crop types on the central Great Plains of ...
Nonparametric estimation of additive nonlinear ARX time series: Local Linear Fitting and Projections
Cai, Zongwu; Masry, Elias
2000-08-01
We consider the estimation and identification of the components (endogenous and exogenous) of additive nonlinear ARX time series models. We employ a local polynomial fitting scheme coupled with projections. We establish ...
Desertification of high latitude ecosystems: conceptual models, time-series analyses and experiments
Thorsson, Johann
2009-05-15
-1 DESERTIFICATION OF HIGH LATITUDE ECOSYSTEMS: CONCEPTUAL MODELS, TIME-SERIES ANALYSES AND EXPERIMENTS A Dissertation by JOHANN THORSSON Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements... for the degree of DOCTOR OF PHILOSOPHY December 2008 Major Subject: Rangeland Ecology and Management DESERTIFICATION OF HIGH LATITUDE ECOSYSTEMS: CONCEPTUAL MODELS, TIME-SERIES ANALYSES AND EXPERIMENTS A Dissertation by JOHANN...
The application of complex network time series analysis in turbulent heated jets
Charakopoulos, A. K.; Karakasidis, T. E. Liakopoulos, A.; Papanicolaou, P. N.
2014-06-15
In the present study, we applied the methodology of the complex network-based time series analysis to experimental temperature time series from a vertical turbulent heated jet. More specifically, we approach the hydrodynamic problem of discriminating time series corresponding to various regions relative to the jet axis, i.e., time series corresponding to regions that are close to the jet axis from time series originating at regions with a different dynamical regime based on the constructed network properties. Applying the transformation phase space method (k nearest neighbors) and also the visibility algorithm, we transformed time series into networks and evaluated the topological properties of the networks such as degree distribution, average path length, diameter, modularity, and clustering coefficient. The results show that the complex network approach allows distinguishing, identifying, and exploring in detail various dynamical regions of the jet flow, and associate it to the corresponding physical behavior. In addition, in order to reject the hypothesis that the studied networks originate from a stochastic process, we generated random network and we compared their statistical properties with that originating from the experimental data. As far as the efficiency of the two methods for network construction is concerned, we conclude that both methodologies lead to network properties that present almost the same qualitative behavior and allow us to reveal the underlying system dynamics.
Engine Control Improvement through Application of Chaotic Time Series Analysis
Green, J.B., Jr.; Daw, C.S.
2003-07-15
The objective of this program was to investigate cyclic variations in spark-ignition (SI) engines under lean fueling conditions and to develop options to reduce emissions of nitrogen oxides (NOx) and particulate matter (PM) in compression-ignition direct-injection (CIDI) engines at high exhaust gas recirculation (EGR) rates. The CIDI activity builds upon an earlier collaboration between ORNL and Ford examining combustion instabilities in SI engines. Under the original CRADA, the principal objective was to understand the fundamental causes of combustion instability in spark-ignition engines operating with lean fueling. The results of this earlier activity demonstrated that such combustion instabilities are dominated by the effects of residual gas remaining in each cylinder from one cycle to the next. A very simple, low-order model was developed that explained the observed combustion instability as a noisy nonlinear dynamical process. The model concept lead to development of a real-time control strategy that could be employed to significantly reduce cyclic variations in real engines using existing sensors and engine control systems. This collaboration led to the issuance of a joint patent for spark-ignition engine control. After a few years, the CRADA was modified to focus more on EGR and CIDI engines. The modified CRADA examined relationships between EGR, combustion, and emissions in CIDI engines. Information from CIDI engine experiments, data analysis, and modeling were employed to identify and characterize new combustion regimes where it is possible to simultaneously achieve significant reductions in NOx and PM emissions. These results were also used to develop an on-line combustion diagnostic (virtual sensor) to make cycle-resolved combustion quality assessments for active feedback control. Extensive experiments on engines at Ford and ORNL led to the development of the virtual sensor concept that may be able to detect simultaneous reductions in NOx and PM emissions under low temperature combustion (LTC) regimes. An invention disclosure was submitted to ORNL for the virtual sensor under the CRADA. Industrial in-kind support was available throughout the project period. Review of the research results were carried out on a regular basis (annual reports and meetings) followed by suggestions for improvement in ongoing work and direction for future work. A significant portion of the industrial support was in the form of experimentation, data analysis, data exchange, and technical consultation.
Iterative prediction of chaotic time series using a recurrent neural network
Essawy, M.A.; Bodruzzaman, M. [Tennessee State Univ., Nashville, TN (United States). Dept. of Electrical and Computer Engineering; Shamsi, A.; Noel, S. [USDOE Morgantown Energy Technology Center, WV (United States)
1996-12-31
Chaotic systems are known for their unpredictability due to their sensitive dependence on initial conditions. When only time series measurements from such systems are available, neural network based models are preferred due to their simplicity, availability, and robustness. However, the type of neutral network used should be capable of modeling the highly non-linear behavior and the multi-attractor nature of such systems. In this paper the authors use a special type of recurrent neural network called the ``Dynamic System Imitator (DSI)``, that has been proven to be capable of modeling very complex dynamic behaviors. The DSI is a fully recurrent neural network that is specially designed to model a wide variety of dynamic systems. The prediction method presented in this paper is based upon predicting one step ahead in the time series, and using that predicted value to iteratively predict the following steps. This method was applied to chaotic time series generated from the logistic, Henon, and the cubic equations, in addition to experimental pressure drop time series measured from a Fluidized Bed Reactor (FBR), which is known to exhibit chaotic behavior. The time behavior and state space attractor of the actual and network synthetic chaotic time series were analyzed and compared. The correlation dimension and the Kolmogorov entropy for both the original and network synthetic data were computed. They were found to resemble each other, confirming the success of the DSI based chaotic system modeling.
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
Climate signal detection using wavelet transform: How to make a time series sing
Lau, K.M.; Weng, H.
1995-12-01
In this paper, the application of the wavelet transform (WT) to climate time series analyses is introduced. A tutorial description of the basic concept of WT, compared with similar concepts used in music, is also provided. Using an analogy between WT representation of a time series and a music score, the authors illustrate the importance of local versus global information in the time-frequency localization of climate signals. Examples of WT applied to climate data analysis are demonstrated using analytic signals as well as real climate time series. Results of WT applied to two climate time series-that is, a proxy paleoclimate time series with a 2.5-Myr deep-sea sediment record of {gamma}{sup 18}O and a 140-yr monthly record of Northern Hemisphere surface temperature-are presented. The former shows the presence of a 40-kyr and a 100-kyr oscillation and an abrupt transition in the oscillation regime at 0.7 Myr before the present, consistent with previous studies. The latter possesses a myriad of oscillatory modes f rom interannual (2-5 yr), interdecadal (10-12 yr, 20-25 yr, and 40-60 yr), and century ({approximately}180 yr) scales at different periods of the data record. In spite of the large difference in timescales, common features in time-frequency characteristics of these two time series have been identified. These features suggest that the variations of the earth`s climate are consistent with those exhibited by a nonlinear dynamical system under external forcings. 32 refs., 9 figs.
Time Series Evaluation of Radiation Portal Monitor Data for Point Source Detection
Robinson, Sean M.; Bender, Sarah E.; Flumerfelt, Eric L.; Lopresti, Charles A.; Woodring, Mitchell L.
2009-12-08
The time series of data from a Radiation Portal Monitor (RPM) system are evaluated for the presence of point sources by isolating the contribution of anomalous radiation. Energy-windowed background spectra taken from the RPM are compared with the observed spectra at each time step during a vehicle drive-through. The total signal is turned into a spectral distance index using this method. This provides a time series with reduced systematic fluctuations due to background attenuation by the vehicle, and allows for point source detection by time-series analyses. The anomalous time series is reanalyzed by using a wavelet filter function of similar size to the expected source profile. A number of real drive-through data sets taken at a U.S. port of entry are analyzed in this way. A set of isotopes are injected into the data set, and the resultant benign and injected data sets are analyzed with gross-counting, spectral-ratio, and time-based algorithms. Spectral and time methods together offer a significant increase to detection performance.
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
2015-01-01
We introduce the pyunicorn (Pythonic unified complex network and recurrence analysis toolbox) open source software package for applying and combining modern methods of data analysis and modeling from complex network theory and nonlinear time series analysis. pyunicorn is a fully object-oriented and easily parallelizable package written in the language Python. It allows for the construction of functional networks such as climate networks in climatology or functional brain networks in neuroscience representing the structure of statistical interrelationships in large data sets of time series and, subsequently, investigating this structure using advanced methods of complex network theory such as measures and models for spatial networks, networks of interacting networks, node-weighted statistics or network surrogates. Additionally, pyunicorn provides insights into the nonlinear dynamics of complex systems as recorded in uni- and multivariate time series from a non-traditional perspective by means of recurrence qua...
A non subjective approach to the GP algorithm for analysing noisy time series
K. P. Harikrishnan; R. Misra; G. Ambika; A. K. Kembhavi
2006-03-11
We present an adaptation of the standard Grassberger-Proccacia (GP) algorithm for estimating the Correlation Dimension of a time series in a non subjective manner. The validity and accuracy of this approach is tested using different types of time series, such as, those from standard chaotic systems, pure white and colored noise and chaotic systems added with noise. The effectiveness of the scheme in analysing noisy time series, particularly those involving colored noise, is investigated. An interesting result we have obtained is that, for the same percentage of noise addition, data with colored noise is more distinguishable from the corresponding surrogates, than data with white noise. As examples for real life applications, analysis of data from an astrophysical X-ray object and human brain EEG, are presented.
TIME SERIES MODELS OF THREE SETS OF RXTE OBSERVATIONS OF 4U 1543-47
Koen, C.
2013-03-01
The X-ray nova 4U 1543-47 was in a different physical state (low/hard, high/soft, and very high) during the acquisition of each of the three time series analyzed in this paper. Standard time series models of the autoregressive moving average (ARMA) family are fitted to these series. The low/hard data can be adequately modeled by a simple low-order model with fixed coefficients, once the slowly varying mean count rate has been accounted for. The high/soft series requires a higher order model, or an ARMA model with variable coefficients. The very high state is characterized by a succession of 'dips', with roughly equal depths. These seem to appear independently of one another. The underlying stochastic series can again be modeled by an ARMA form, or roughly as the sum of an ARMA series and white noise. The structuring of each model in terms of short-lived aperiodic and 'quasi-periodic' components is discussed.
Detrended partial cross-correlation analysis of two time series influenced by common external forces
Qian, Xi-Yuan; Jiang, Zhi-Qiang; Podobnik, Boris; Zhou, Wei-Xing; Stanley, H Eugene
2015-01-01
We propose a new method, detrended partial cross-correlation analysis (DPXA), to uncover the intrinsic power-law cross-correlations between two simultaneously recorded time series in the presence of nonstationarity after removing the effects of other time series acting as common forces. The DPXA method is a generalization of the detrended cross-correlation analysis by taking into account the partial correlation analysis. We illustrate the performance of the method using bivariate fractional Brownian motions and multifractal binomial measures with analytical expressions and apply it to extract the intrinsic cross-correlation between crude oil and gold futures by considering the impact of the US dollar index.
Nonlinear analysis of time series of vibration data from a friction brake: SSA, PCA, and MFDFA
Nikolay K. Vitanov; Norbert P. Hoffmann; Boris Wernitz
2014-10-23
We use the methodology of singular spectrum analysis (SSA), principal component analysis (PCA), and multi-fractal detrended fluctuation analysis (MFDFA), for investigating characteristics of vibration time series data from a friction brake. SSA and PCA are used to study the long time-scale characteristics of the time series. MFDFA is applied for investigating all time scales up to the smallest recorded one. It turns out that the majority of the long time-scale dynamics, that is presumably dominated by the structural dynamics of the brake system, is dominated by very few active dimensions only and can well be understood in terms of low dimensional chaotic attractors. The multi-fractal analysis shows that the fast dynamical processes originating in the friction interface are in turn truly multi-scale in nature.
A Scientific Data Processing Framework for Time Series NetCDF Data
Gaustad, Krista L.; Shippert, Timothy R.; Ermold, Brian D.; Beus, Sherman J.; Daily, Jeffrey A.; Borsholm, Atle; Fox, Kevin M.
2014-10-01
ARM Data Integrator (ADI) is a framework to streamline the development of scientific algorithms that analyze time-series NetCDF data, and to improve the content and consistency of the output data products produced by these algorithms. ADI achieves these goals by automating the process of retrieving and preparing data for analysis, supporting the definition of output data products through a graphical interface, and providing a modular, flexible software development architecture. The input data, preprocessing, and output data specifications are defined through a graphical interface and stored in a database. ADI also includes a workflow for data integration, a library of software modules to support the workflow, and a source code generator that produces C, IDL and Python templates. Data preparation support includes automated retrieval of data from input files, merging the retrieved data into appropriately sized chunks, and transformation of the data onto a common coordinate system grid. Through the graphical interface, users can view the details of both their data products and those in the ARM catalog. The variable and attribute definitions of the existing data products can be used to build new output data products. In addition, the rules that make up the ARM 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.
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
Aalborg Universitet ARIMA-Based Time Series Model of Stochastic Wind Power Generation
Bak-Jensen, Birgitte
the nonstationarity and physical limits of stochastic wind power generation. The model is constructed based on wind power measurement of one year from the Nysted offshore wind farm in Denmark. The proposed limitedAalborg Universitet ARIMA-Based Time Series Model of Stochastic Wind Power Generation Chen, Peiyuan
Neural networks as a tool for constructing continuous NDVI time series from AVHRR and MODIS
Neural networks as a tool for constructing continuous NDVI time series from AVHRR and MODIS M. E-stationary aspect of NDVI, we use an artificial neural network (ANN) to map the NDVI indices from AVHRR to those the AVHRR record. Four years of overlap between the two sensors is used to train a neural network to remove
Railway Subsidence Monitoring by High Resolution INSAR Time Series Analysis in Tianjin
Perissin, Daniele
Railway Subsidence Monitoring by High Resolution INSAR Time Series Analysis in Tianjin Qingli Luo1 and the development of urban are seriously affected by the subsidence of them. Permanent Scatterers (PS) technology was developed as a powerful tool for subsidence monitoring. High resolution of 1m data can be provided by Terra
Time Series Measurements of Temperature, Current Velocity, and Sediment Resuspension in Saginaw Bay
Time Series Measurements of Temperature, Current Velocity, and Sediment Resuspension in Saginaw Bay and verification. These measurements will be made as part of this project. Measurements of sediment resuspension sediment resuspension in the bay during the spring. Measurements of sediment resuspension are important
Evolving Neural Network Weights for Time-Series Prediction of General Aviation Flight Data
Hu, Wen-Chen
and predictive maintenance systems, reducing accident rates and saving lives. Keywords: Time-Series Prediction and lucrative industry, it has the highest accident rates within civil aviation [21]. For many years between 0.08% for altitude to 2% for roll. Cross validation of the best neural networks indicate
DAMAGE DETECTION IN A WIND TURBINE BLADE BASED ON TIME SERIES Simon Hoell, Piotr Omenzetter
Boyer, Edmond
DAMAGE DETECTION IN A WIND TURBINE BLADE BASED ON TIME SERIES METHODS Simon Hoell, Piotr Omenzetter (SHM) systems. Different methods have been developed for detection of damages in WT blades. However a damage detection method based on autocorrelations of response accelerations. The damage sensitive feature
Mapping Deforestation and Forest Degradation Using Landsat Time Series: a Case of Sumatra--Indonesia
20 Mapping Deforestation and Forest Degradation Using Landsat Time Series: a Case of Sumatra--Indonesia Belinda Arunarwati Margono1, 2 Abstract Indonesia experiences the second highest rate of deforestation monitoring system, in addition to the problem of cloud cover in Indonesia. In this work, we demonstrate
Indexing of Time Series by Major Minima and Maxima Eugene Fink
Fink, Eugene
sets: stock prices, air and sea temperatures, and wind speeds. Keywords: Compression, indexing.ics.uci.edu). Wind speeds: We have used daily wind speeds at twelve sites in Ireland, from 1961 to 1978, ob- tained. Indexing: The indexing of a time-series database is based on the notion of major inclines, illustrated
Indexing of Time Series by Major Minima and Maxima Eugene Fink
Fink, Eugene
sets: stock prices, air and sea temperatures, and wind speeds. Keywords: Compression, indexing.ics.uci.edu). Wind speeds: We have used daily wind speeds at twelve sites in Ireland, from 1961 to 1978, ob tained. Indexing: The indexing of a timeseries database is based on the notion of major inclines, illustrated
OUTPUT-ONLY STATISTICAL TIME SERIES METHODS FOR STRUCTURAL HEALTH MONITORING: A COMPARATIVE STUDY
Paris-Sud XI, 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
Recognising Visual Patterns to Communicate Gas Turbine Time-Series Data
Reiter, Ehud
Recognising Visual Patterns to Communicate Gas Turbine Time-Series Data Jin Yu, Jim Hunter, Ehud analogue channels are sampled once per second and archived by the Tiger system for monitoring gas turbines that it is very important to identify such patterns in any attempt at summarisation. In the gas turbine domain
Creating and Using Geospatial Ontology Time Series in a Semantic Cultural Heritage Portal
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
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
Ultrasound radio-frequency time series for finding malignant breast lesions
Freitas, Nando de
-based solutions for breast lesion characterization to reduce the patient recall rate after mammography screening. In this work, ultrasound radio frequency time series analysis is performed for sepa- rating benign framework can help in differentiating malignant from benign breast lesions. 1 Introduction In the United
Monitoring water stress using time series of observed to unstressed surface temperature difference
Gentine, Pierre
Monitoring water stress using time series of observed to unstressed surface temperature difference to monitor stress have shifted from establishing empirical relationships between combined vegetation cover/temperature surface temperature as a baseline to monitor water stress. The unstressed temperature is the equilibrium
Time-series validation of MODIS land biophysical products in a Kalahari woodland, Africa
Myneni, Ranga B.
Time-series validation of MODIS land biophysical products in a Kalahari woodland, Africa K. F MODIS variables are produced from the same algorithm. Solar zenith angle effects, differences between the two sides of the leaves are not symmetrical; 3. horizontally projected LAI is the area of `shadow
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
1.2000-2009 time-series return information for Snake River: a. Fall Chinook Salmon
#12;Content: 1.2000-2009 time-series return information for Snake River: a. Fall Chinook Salmon b. Sockeye Salmon c. Summer Steelhead d. Spring/Summer Chinook Salmon 2.2010 run-size forecasts for: a. Sockeye Salmon b. Spring/Summer Chinook Salmon #12;#12;Species: Run: Origin: Period: Chinook Salmon Fall
Masci, Frank
The Fourier Transform The Fourier transform is crucial to any discussion of time series analysis: Fourier Series Fourier Transform Example and Interpretation Oddness and Evenness The Convolution Theorem Discrete Fourier Transforms Definitions Example Implementation Author Ã Fourier Series Recall the Fourier
Detecting and interpreting distortions in hierarchical organization of complex time series
Dro?d?, Stanis?aw
2015-01-01
Hierarchical organization is a cornerstone of complexity and multifractality constitutes its central quantifying concept. For model uniform cascades the corresponding singularity spectra are symmetric while those extracted from empirical data are often asymmetric. Using the selected time series representing such diverse phenomena like price changes and inter-transaction times in the financial markets, sentence length variability in the narrative texts, Missouri River discharge and Sunspot Number variability as examples, we show that the resulting singularity spectra appear strongly asymmetric, more often left-sided but in some cases also right-sided. We present a unified view on the origin of such effects and indicate that they may be crucially informative for identifying composition of the time series. One particularly intriguing case of this later kind of asymmetry is detected in the daily reported Sunspot Number variability. This signals that either the commonly used famous Wolf formula distorts the real d...
Time series analysis of ionization waves in dc neon glow discharge
Hassouba, M. A.; Al-Naggar, H. I.; Al-Naggar, N. M.; Wilke, C. [Department of Physics, Faculty of Science, Benha University (Egypt); Institute of Physics, E. M. A. University, Domstrasse 10a, 17489 Greifswald (Germany)
2006-07-15
The dynamics of dc neon glow discharge is examined by calculating a Lyapunov exponent spectrum (LES) and correlation dimension (D{sub corr}) from experimental time series. The embedding theory is used to reconstruct an attractor with the delay coordinate method. The analysis refers to periodic, chaotic, and quasi-periodic attractors. The results obtained are confirmed by a comparison with other methods of time series analysis such as the Fourier power spectrum and autocorrelation function. The main object of the present work is the positive column of a dc neon glow discharge. The positive column is an excellent model for the study of a non-linearity plasma system because it is nonisothermal plasma far from equilibrium.
Subba Rao, Suhasini
A test for second order stationarity of a time series based on the Discrete Fourier Transform stationary. Exploiting this important property, we construct a Portmanteau type test statistic for testing stationarity of the time series. It is shown that under the null of stationarity, the test statistic has
Gaudi, B. Scott
PUSHING THE LIMITS OF GROUND-BASED PHOTOMETRIC PRECISION: SUBMILLIMAGNITUDE TIME-SERIES PHOTOMETRY of this study was to demonstrate the ability to obtain very high precision photometry for a large number to obtain high-precision (millimagnitude, or less than 1%) time-series, optical and infrared photometry
Mesoscale variability in time series data: Satellite-based estimates for the U.S. JGOFS Bermuda TOPEX/PoseidonERS-1/2) are used to characterize, statistically, the mesoscale variability about the U to better understand the contribution of mesoscale eddies to the time series record and the model- data
Multifractal analysis of stress time series during ultrathin lubricant film melting
A. V. Khomenko; I. A. Lyashenko; V. N. Borisyuk
2010-07-20
Melting of an ultrathin lubricant film confined between two atomically flat surfaces is we studied using the rheological model for viscoelastic matter approximation. Phase diagram with domains, corresponding to sliding, dry, and two types of $stick-slip$ friction regimes has been built taking into account additive noises of stress, strain, and temperature of the lubricant. The stress time series have been obtained for all regimes of friction using the Stratonovich interpretation. It has been shown that self-similar regime of lubricant melting is observed when intensity of temperature noise is much larger than intensities of strain and stress noises. This regime is defined by homogenous distribution, at which characteristic stress scale is absent. We study stress time series obtained for all friction regimes using multifractal detrended fluctuation analysis. It has been shown that multifractality of these series is caused by different correlations that are present in the system and also by a power-law distribution. Since the power-law distribution is related to small stresses, this case corresponds to self-similar solid-like lubricant.
Time Series Evaluation of Radiation Portal Monitor Data for Point Source Discrimination.
Robinson, Sean M.; Bender, Sarah E.; Flumerfelt, Eric L.; Lopresti, Charles A.; Woodring, Mitchell L.
2009-07-20
A novel algorithm approach to evaluating data from PVT-based Radiation Portal Monitor (RPM) systems is established. Time series of data from RPMs are evaluated for the presence of sources of interest by comparing the background to the vehicle spectrum at each successive time step, isolating the contribution of anomalous radiation. At each time in the data sequence, a “spectral distance” index is calculated using this method. This method may dramatically reduce systematic fluctuations due to background attenuation by a vehicle (the so-called “shadow shielding” effect), and allow for time-series matched filtering for discrimination of compact anomalous sources. This is attempted by using a wavelet filter function of similar size to the expected source profile on the output of the spectral distance method. Performance of this method is shown by analysis (injection studies) of a number of real drive-through data sets taken at a U.S. port of entry. Spectra from isotopes of interest are injected into the data set, and the resultant “benign” and “injected” data sets are analyzed with gross-counting, spectral distance, and spatial algorithms. The combination of spectral and spatial analysis methods showed a significant increase to detection performance.
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
Interpretation of engine cycle-to-cycle variation by chaotic time series analysis
Daw, C.S.; Kahl, W.K.
1990-01-01
In this paper we summarize preliminary results from applying a new mathematical technique -- chaotic time series analysis (CTSA) -- to cylinder pressure data from a spark-ignition (SI) four-stroke engine fueled with both methanol and iso-octane. Our objective is to look for the presence of deterministic chaos'' dynamics in peak pressure variations and to investigate the potential usefulness of CTSA as a diagnostic tool. Our results suggest that sequential peak cylinder pressures exhibit some characteristic features of deterministic chaos and that CTSA can extract previously unrecognized information from such data. 18 refs., 11 figs., 2 tabs.
Fast detection of nonlinearity and nonstationarity in short and noisy time series
M. De Domenico; V. Latora
2010-07-07
We introduce a statistical method to detect nonlinearity and nonstationarity in time series, that works even for short sequences and in presence of noise. The method has a discrimination power similar to that of the most advanced estimators on the market, yet it depends only on one parameter, is easier to implement and faster. Applications to real data sets reject the null hypothesis of an underlying stationary linear stochastic process with a higher confidence interval than the best known nonlinear discriminators up to date.
Perpinan, O.; Lorenzo, E.
2011-01-15
The irradiance fluctuations and the subsequent variability of the power output of a PV system are analysed with some mathematical tools based on the wavelet transform. It can be shown that the irradiance and power time series are nonstationary process whose behaviour resembles that of a long memory process. Besides, the long memory spectral exponent {alpha} is a useful indicator of the fluctuation level of a irradiance time series. On the other side, a time series of global irradiance on the horizontal plane can be simulated by means of the wavestrapping technique on the clearness index and the fluctuation behaviour of this simulated time series correctly resembles the original series. Moreover, a time series of global irradiance on the inclined plane can be simulated with the wavestrapping procedure applied over a signal previously detrended by a partial reconstruction with a wavelet multiresolution analysis, and, once again, the fluctuation behaviour of this simulated time series is correct. This procedure is a suitable tool for the simulation of irradiance incident over a group of distant PV plants. Finally, a wavelet variance analysis and the long memory spectral exponent show that a PV plant behaves as a low-pass filter. (author)
Kriegel, Hans-Peter
, evolution of stock charts, research on medical behavior of organisms, or analysis and detec- tion of motion of environmental data. 1 Introduction In a large range of application domains, e.g. environmental analysis series. Overall, TiP serves as a framework to effectively and efficiently manage dual- domain time series
Jensen, Deborah Larkey
2005-02-17
. The mean and standard deviation of observable decision-action rates on teacher-identified ?teaching days? were higher than the rates on ?guiding? days. Bivariate time series analysis of decision-action rates and physiological response rates showed a...
Hsu, P. J.; Lai, S. K., E-mail: sklai@coll.phy.ncu.edu.tw [Complex Liquids Laboratory, Department of Physics, National Central University, Chungli 320 Taiwan (China); Molecular Science and Technology Program, Taiwan International Graduate Program, Academia Sinica, Taipei 115, Taiwan (China); Cheong, S. A. [Division of Physics and Applied Physics, School of Physical and Mathematical Sciences, Nanyang Technological University, 21 Nanyang Link, Singapore 637371 (Singapore)
2014-05-28
Folded conformations of proteins in thermodynamically stable states have long lifetimes. Before it folds into a stable conformation, or after unfolding from a stable conformation, the protein will generally stray from one random conformation to another leading thus to rapid fluctuations. Brief structural changes therefore occur before folding and unfolding events. These short-lived movements are easily overlooked in studies of folding/unfolding for they represent momentary excursions of the protein to explore conformations in the neighborhood of the stable conformation. The present study looks for precursory signatures of protein folding/unfolding within these rapid fluctuations through a combination of three techniques: (1) ultrafast shape recognition, (2) time series segmentation, and (3) time series correlation analysis. The first procedure measures the differences between statistical distance distributions of atoms in different conformations by calculating shape similarity indices from molecular dynamics simulation trajectories. The second procedure is used to discover the times at which the protein makes transitions from one conformation to another. Finally, we employ the third technique to exploit spatial fingerprints of the stable conformations; this procedure is to map out the sequences of changes preceding the actual folding and unfolding events, since strongly correlated atoms in different conformations are different due to bond and steric constraints. The aforementioned high-frequency fluctuations are therefore characterized by distinct correlational and structural changes that are associated with rate-limiting precursors that translate into brief segments. Guided by these technical procedures, we choose a model system, a fragment of the protein transthyretin, for identifying in this system not only the precursory signatures of transitions associated with ? helix and ? hairpin, but also the important role played by weaker correlations in such protein folding dynamics.
Improved time-space method for 3-D heat transfer problems including global warming
Saitoh, T.S.; Wakashima, Shinichiro
1999-07-01
In this paper, the Time-Space Method (TSM) which has been proposed for solving general heat transfer and fluid flow problems was improved in order to cover global and urban warming. The TSM is effective in almost all-transient heat transfer and fluid flow problems, and has been already applied to the 2-D melting problems (or moving boundary problems). The computer running time will be reduced to only 1/100th--1/1000th of the existing schemes for 2-D and 3-D problems. However, in order to apply to much larger-scale problems, for example, global warming, urban warming and general ocean circulation, the SOR method (or other iterative methods) in four dimensions is somewhat tedious and provokingly slow. Motivated by the above situation, the authors improved the speed of iteration of the previous TSM by introducing the following ideas: (1) Timewise chopping: Time domain is chopped into small peaches to save memory requirement; (2) Adaptive iteration: Converged region is eliminated for further iteration; (3) Internal selective iteration: Equation with slow iteration speed in iterative procedure is selectively iterated to accelerate entire convergence; and (4) False transient integration: False transient term is added to the Poisson-type equation and the relevant solution is regarded as a parabolic equation. By adopting the above improvements, the higher-order finite different schemes and the hybrid mesh, the computer running time for the TSM is reduced to some 1/4600th of the conventional explicit method for a typical 3-D natural convection problem in a closed cavity. The proposed TSM will be more efficacious for large-scale environmental problems, such as global warming, urban warming and general ocean circulation, in which a tremendous computing time would be required.
Experimental nonlinear dynamical studies in cesium magneto-optical trap using time-series analysis
Anwar, M. Islam, R.; Faisal, M.; Sikandar, M.; Ahmed, M.
2015-03-30
A magneto-optical trap of neutral atoms is essentially a dissipative quantum system. The fast thermal atoms continuously dissipate their energy to the environment via spontaneous emissions during the cooling. The atoms are, therefore, strongly coupled with the vacuum reservoir and the laser field. The vacuum fluctuations as well as the field fluctuations are imparted to the atoms as random photon recoils. Consequently, the external and internal dynamics of atoms becomes stochastic. In this paper, we have investigated the stochastic dynamics of the atoms in a magneto-optical trap during the loading process. The time series analysis of the fluorescence signal shows that the dynamics of the atoms evolves, like all dissipative systems, from deterministic to the chaotic regime. The subsequent disappearance and revival of chaos was attributed to chaos synchronization between spatially different atoms in the magneto-optical trap.
Forecasting of preprocessed daily solar radiation time series using neural networks
Paoli, Christophe; Muselli, Marc; Nivet, Marie-Laure [University of Corsica, CNRS UMR SPE, Corte (France); Voyant, Cyril [University of Corsica, CNRS UMR SPE, Corte (France); Hospital of Castelluccio, Radiotherapy Unit, Ajaccio (France)
2010-12-15
In this paper, we present an application of Artificial Neural Networks (ANNs) in the renewable energy domain. We particularly look at the Multi-Layer Perceptron (MLP) network which has been the most used of ANNs architectures both in the renewable energy domain and in the time series forecasting. We have used a MLP and an ad hoc time series pre-processing to develop a methodology for the daily prediction of global solar radiation on a horizontal surface. First results are promising with nRMSE {proportional_to} 21% and RMSE {proportional_to} 3.59 MJ/m{sup 2}. The optimized MLP presents predictions similar to or even better than conventional and reference methods such as ARIMA techniques, Bayesian inference, Markov chains and k-Nearest-Neighbors. Moreover we found that the data pre-processing approach proposed can reduce significantly forecasting errors of about 6% compared to conventional prediction methods such as Markov chains or Bayesian inference. The simulator proposed has been obtained using 19 years of available data from the meteorological station of Ajaccio (Corsica Island, France, 41 55'N, 8 44'E, 4 m above mean sea level). The predicted whole methodology has been validated on a 1.175 kWc mono-Si PV power grid. Six prediction methods (ANN, clear sky model, combination..) allow to predict the best daily DC PV power production at horizon d + 1. The cumulated DC PV energy on a 6-months period shows a great agreement between simulated and measured data (R{sup 2} > 0.99 and nRMSE < 2%). (author)
Bodruzzaman, M.; Essawy, M.A.
1996-03-31
Chaotic systems are known for their unpredictability due to their sensitive dependence on initial conditions. When only time series measurements from such systems are available, neural network based models are preferred due to their simplicity, availability, and robustness. However, the type of neural network used should be capable of modeling the highly non-linear behavior and the multi- attractor nature of such systems. In this paper we use a special type of recurrent neural network called the ``Dynamic System Imitator (DSI)``, that has been proven to be capable of modeling very complex dynamic behaviors. The DSI is a fully recurrent neural network that is specially designed to model a wide variety of dynamic systems. The prediction method presented in this paper is based upon predicting one step ahead in the time series, and using that predicted value to iteratively predict the following steps. This method was applied to chaotic time series generated from the logistic, Henon, and the cubic equations, in addition to experimental pressure drop time series measured from a Fluidized Bed Reactor (FBR), which is known to exhibit chaotic behavior. The time behavior and state space attractor of the actual and network synthetic chaotic time series were analyzed and compared. The correlation dimension and the Kolmogorov entropy for both the original and network synthetic data were computed. They were found to resemble each other, confirming the success of the DSI based chaotic system modeling.
P. A. Becker; T. Le; C. D. Dermer
2006-04-24
Stochastic acceleration of charged particles due to interactions with magnetohydrodynamic (MHD) plasma waves is the dominant process leading to the formation of the high-energy electron and ion distributions in a variety of astrophysical systems. Collisions with the waves influence both the energization and the spatial transport of the particles, and therefore it is important to treat these two aspects of the problem in a self-consistent manner. We solve the representative Fokker-Planck equation to obtain a new, closed-form solution for the time-dependent Green's function describing the acceleration and escape of relativistic ions interacting with Alfven or fast-mode waves characterized by momentum diffusion coefficient $D(p)\\propto p^q$ and mean particle escape timescale $t_esc(p) \\propto p^{q-2}$, where $p$ is the particle momentum and $q$ is the power-law index of the MHD wave spectrum. In particular, we obtain solutions for the momentum distribution of the ions in the plasma and also for the momentum distribution of the escaping particles, which may form an energetic outflow. The general features of the solutions are illustrated via examples based on either a Kolmogorov or Kraichnan wave spectrum. The new expressions complement the results obtained by Park and Petrosian, who presented exact solutions for the hard-sphere scattering case ($q=2$) in addition to other scenarios in which the escape timescale has a power-law dependence on the momentum. Our results have direct relevance for models of high-energy radiation and cosmic-ray production in astrophysical environments such as $\\gamma$-ray bursts, active galaxies, and magnetized coronae around black holes.
Assessment of Time-Series MODIS Data for Cropland Mapping in the U.S. Central Great Plains
Masialeti, Iwake
2008-07-23
.1 Introduction 141 4.2 Research Objectives 143 4.3 Study Area 144 4.4 Data and Methods 145 4.4.1 Time-Series MODIS NDVI Data 146 4.4.2 Common Land Unit (CLU) and Field Site Database for 2005 147 4.4.3 Kansas Average NDVI... because it is expensive to collect, inadequate in spatial and temporal coverage, inadvertently inaccurate, outdated, legally restricted, or non-existent; 2) Evaluate the applicability of time-series MODIS 250-m NDVI data for crop-type discrimination...
Andresen, Gorm Bruun; Greiner, Martin
2014-01-01
We present a new global high-resolution renewable energy atlas (REatlas) that can be used to calculate customised hourly time series of wind and solar PV power generation. In this paper, the atlas is applied to produce 32-year-long hourly model wind power time series for Denmark for each historical and future year between 1980 and 2035. These are calibrated and validated against real production data from the period 2000 to 2010. The high number of years allows us to discuss how the characteristics of Danish wind power generation varies between individual weather years. As an example, the annual energy production is found to vary by $\\pm10\\%$ from the average. Furthermore, we show how the production pattern change as small onshore turbines are gradually replaced by large onshore and offshore turbines. In most energy system analysis tools, fixed hourly time series of wind power generation are used to model future power systems with high penetrations of wind energy. Here, we compare the wind power time series fo...
Percival, Don
signal. We find that common signals in electrical records have time scales of approxi- mately 13 years of Washington, Seattle, WA 98195 5640, USA #12;Abstract The acquisition and interpretation of increasingly high series of electrical and oxygen isotope mea- surements from a spatial array of firn cores with 3.57 km
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
Kaski, Samuel
Series Yubin Park1 Carlos M. Carvalho2 Joydeep Ghosh1 1 Department of Electrical Computer Engineering by the authors. In the fraud detection community, purchase records and click streams have been key factors: interpretability and extensibility. Indeed, the VAR process has a rich history with parsimonious the- oretical
Sripada, Yaji
An Approach to Generating Summaries of Time Series Data in the Gas Turbine Domain Jin Yu and Jim an approach to generating summaries of time series data in the gas turbine domain using AI techniques. Through), both domain knowledge from experts about how to solve problems in the gas turbine and information about
Martinez, L.T.
1997-05-01
The objective of this study was to determine the effect of nonrandom sampling over time may have on the estimation of variability, namely the geometric standard deviation, using time series of personal exposure data.
I. Ermolli; S. K. Solanki; A. G. Tlatov; N. A. Krivova; R. K. Ulrich; J. Singh
2008-02-26
Various observatories around the globe started regular full-disk imaging of the solar atmosphere in the Ca II K line since the early decades of the 20th century. The archives made by these observations have the potential of providing far more detailed information on solar magnetism than just the sunspot number and area records to which most studies of solar activity and irradiance changes are restricted. We evaluate the image contents of three Ca II K spectroheliogram time-series, specifically those obtained by the digitization of the Arcetri, Kodaikanal, and Mt Wilson photographic archives. We describe the main problems afflicting these data and analyze their quality by expressing the image contents through several quantities. We compare the results obtained with those for similar present-day observations taken with the Meudon spectroheliograph and with the Rome-PSPT. We show that historic data suffer from stronger geometrical distortions and photometric uncertainties than similar present-day observations. The latter uncertainties mostly originate from the photographic calibration of the original data and from stray-light effects. We also show that the image contents of the three analyzed series vary in time. These variations are probably due to instrument changes and aging of the spectrographs used, as well as changes of the observing programs. Our results imply that the main challenge for the analysis of historic data is their accurate photometric calibration. This problem must be solved before they can provide reliable information about solar magnetism and activity over the last century. Moreover, inter-calibration of results obtained from independent time-series is required to reliably trace changes of solar properties with time from the analysis of such data.
Forecasting the S&P 500 index using time series analysis and simulation methods
Chan, Eric Glenn
2009-01-01
The S&P 500 represents a diverse pool of securities in addition to Large Caps. A range of audiences are interested in the S&P 500 forecasts including investors, speculators, economists, government and researchers. The ...
Time series analysis of the lead-lag relationship of freight futures and spot market prices
Gavriilidis, Nikolaos
2008-01-01
This thesis analyzes the relationship between the physical and paper shipping markets. The main objective is to find if one market leads the other by a specific time period so that market players can take advantage from ...
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
Mining Markov chain transition matrix from wind speed time series data Zhe Song a,
Kusiak, Andrew
. Researches related with wind speed are quite extensive, includ- ing wind speed forecasting (Kusiak, Zheng, Essiarab, & Sayigh, 2004; Sahin & Sen, 2001) and so on. Wind speed forecasting and simulation could approaches, Markov chain is a popular tool to model, forecast and simulate the wind speed in a discrete
IMPROVED SEMI-PARAMETRIC TIME SERIES MODELS OF AIR POLLUTION AND MORTALITY
Hastie, Trevor
we provide improvements in semi-parametric regression directly relevant to risk estimation in time of an intense national debate, that has led to a high profile research agenda (National Research Council, 1998, 1999, 2001). In the United States and elsewhere, evidence
Caldwell, J.S.; Bahnfleth, W.P.
1998-12-31
Several one-dimensional models of mixing in stratified chilled-water thermal energy storage tanks have been proposed. In the simplest models, mixing is assumed to be uniform throughout the tank. Other models permit spatial variation of mixing intensity. Published models were developed by adjusting model parameters to achieve qualitative agreement with measured profiles. The literature does not describe quantitative criteria for evaluating the performance of mixing models. This paper describes a method that can be used to determine the relative spatial distribution of mixing effects directly from experimental data. It also illustrates a method for quantitative comparison of experimental and modeled temperature profiles. The mixing calculation procedure may be applied to instantaneous spatial temperature data if temperature sensor spacing is sufficiently small. When sensors are widely spaced, time series data taken at individual sensors provide better accuracy. A criterion for maximum sensor spacing is proposed. The application of these procedures to time series charge-cycle operating data from a full-scale chilled-water thermal storage system serving a large medical center is described. Results of this analysis indicate that mixing is localized near the inlet diffuser and that one-dimensional flow with streamwise conduction predominates in most of the tank.
Maximum likelihood parameter estimation in time series models using sequential Monte Carlo
Yildirim, Sinan
2013-06-11
, respectively. This approach is useful to handle the case where the columns of Y are generated sequentially in time, such as in audio signal processing. Usually very large number of columns in Y leads to the necessity of online algorithms to learn the model... .6 (dashed lines). For illustrative purposes, every 1000th estimate is shown . . . . . . . . . . . . . . . . . . . . . . . 130 6.1 Histograms of Monte Carlo estimates of gradients of log p?,?,?? (Y ?,?,?) w.r.t. the parameters of the ?-stable distribution...
Time series analysis of AERI radiances for GCM testing and improvement
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With U.S.Week DayDr.Theories (Journal Article)Clean4, 9/26/14),Time
Ghosh, Sayantan; Panigrahi, Prasanta K
2010-01-01
We make use of wavelet transform to study the multi-scale, self similar behavior and deviations thereof, in the stock prices of large companies, belonging to different economic sectors. The stock market returns exhibit multi-fractal characteristics, with some of the companies showing deviations at small and large scales. The fact that, the wavelets belonging to the Daubechies' (Db) basis enables one to isolate local polynomial trends of different degrees, plays the key role in isolating fluctuations at different scales. We make use of Db4 and Db6 basis sets to respectively isolate local linear and quadratic trends at different scales in order to study the statistical characteristics of these financial time series. The fluctuations reveal fat tail non-Gaussian behavior, unstable periodic modulations, at finer scales, from which the characteristic $k^{-3}$ power law behavior emerges at sufficiently large scales. We further identify stable periodic behavior through the continuous Morlet wavelet.
Martin, Luis; Marchante, Ruth; Cony, Marco; Zarzalejo, Luis F.; Polo, Jesus; Navarro, Ana
2010-10-15
Due to strong increase of solar power generation, the predictions of incoming solar energy are acquiring more importance. Photovoltaic and solar thermal are the main sources of electricity generation from solar energy. In the case of solar thermal energy plants with storage energy system, its management and operation need reliable predictions of solar irradiance with the same temporal resolution as the temporal capacity of the back-up system. These plants can work like a conventional power plant and compete in the energy stock market avoiding intermittence in electricity production. This work presents a comparisons of statistical models based on time series applied to predict half daily values of global solar irradiance with a temporal horizon of 3 days. Half daily values consist of accumulated hourly global solar irradiance from solar raise to solar noon and from noon until dawn for each day. The dataset of ground solar radiation used belongs to stations of Spanish National Weather Service (AEMet). The models tested are autoregressive, neural networks and fuzzy logic models. Due to the fact that half daily solar irradiance time series is non-stationary, it has been necessary to transform it to two new stationary variables (clearness index and lost component) which are used as input of the predictive models. Improvement in terms of RMSD of the models essayed is compared against the model based on persistence. The validation process shows that all models essayed improve persistence. The best approach to forecast half daily values of solar irradiance is neural network models with lost component as input, except Lerida station where models based on clearness index have less uncertainty because this magnitude has a linear behaviour and it is easier to simulate by models. (author)
Schwerdtfeger, Christine A.; Soudackov, Alexander V.; Hammes-Schiffer, Sharon, E-mail: shs3@illinois.edu [Department of Chemistry, University of Illinois at Urbana-Champaign, 600 South Mathews Avenue, Urbana, Illinois 61801 (United States)] [Department of Chemistry, University of Illinois at Urbana-Champaign, 600 South Mathews Avenue, Urbana, Illinois 61801 (United States)
2014-01-21
The development of efficient theoretical methods for describing electron transfer (ET) reactions in condensed phases is important for a variety of chemical and biological applications. Previously, dynamical dielectric continuum theory was used to derive Langevin equations for a single collective solvent coordinate describing ET in a polar solvent. In this theory, the parameters are directly related to the physical properties of the system and can be determined from experimental data or explicit molecular dynamics simulations. Herein, we combine these Langevin equations with surface hopping nonadiabatic dynamics methods to calculate the rate constants for thermal ET reactions in polar solvents for a wide range of electronic couplings and reaction free energies. Comparison of explicit and implicit solvent calculations illustrates that the mapping from explicit to implicit solvent models is valid even for solvents exhibiting complex relaxation behavior with multiple relaxation time scales and a short-time inertial response. The rate constants calculated for implicit solvent models with a single solvent relaxation time scale corresponding to water, acetonitrile, and methanol agree well with analytical theories in the Golden rule and solvent-controlled regimes, as well as in the intermediate regime. The implicit solvent models with two relaxation time scales are in qualitative agreement with the analytical theories but quantitatively overestimate the rate constants compared to these theories. Analysis of these simulations elucidates the importance of multiple relaxation time scales and the inertial component of the solvent response, as well as potential shortcomings of the analytical theories based on single time scale solvent relaxation models. This implicit solvent approach will enable the simulation of a wide range of ET reactions via the stochastic dynamics of a single collective solvent coordinate with parameters that are relevant to experimentally accessible systems.
Gruner, Sol M.
fuel jets and shock waves generated by them quantitatively visualized by microsecond x results of shock waves generated by liquid fuel jets injected at 40, 100, and 135 MPa in a form Material #1: Time-evolution of transonic and supersonic fuel jets and shock waves generated by them
Shekhar, Ravi
2009-05-15
and amplitude variation with offset (AVO) results for our example model predicts that CO2 is easier to detect than brine in the fractured reservoirs. The effects of geochemical processes on seismics are simulated by time-lapse modeling for t = 1000 years. My...
Time series association learning
Papcun, George J. (Santa Fe, NM)
1995-01-01
An acoustic input is recognized from inferred articulatory movements output by a learned relationship between training acoustic waveforms and articulatory movements. The inferred movements are compared with template patterns prepared from training movements when the relationship was learned to regenerate an acoustic recognition. In a preferred embodiment, the acoustic articulatory relationships are learned by a neural network. Subsequent input acoustic patterns then generate the inferred articulatory movements for use with the templates. Articulatory movement data may be supplemented with characteristic acoustic information, e.g. relative power and high frequency data, to improve template recognition.
Chen, Wei-Chen [ORNL; Maitra, Ranjan [Iowa State University
2011-01-01
We propose a model-based approach for clustering time series regression data in an unsupervised machine learning framework to identify groups under the assumption that each mixture component follows a Gaussian autoregressive regression model of order p. Given the number of groups, the traditional maximum likelihood approach of estimating the parameters using the expectation-maximization (EM) algorithm can be employed, although it is computationally demanding. The somewhat fast tune to the EM folk song provided by the Alternating Expectation Conditional Maximization (AECM) algorithm can alleviate the problem to some extent. In this article, we develop an alternative partial expectation conditional maximization algorithm (APECM) that uses an additional data augmentation storage step to efficiently implement AECM for finite mixture models. Results on our simulation experiments show improved performance in both fewer numbers of iterations and computation time. The methodology is applied to the problem of clustering mutual funds data on the basis of their average annual per cent returns and in the presence of economic indicators.
Marzouk, Youssef; Fast P. (Lawrence Livermore National Laboratory, Livermore, CA); Kraus, M.; Ray, J. P.
2006-01-01
Terrorist attacks using an aerosolized pathogen preparation have gained credibility as a national security concern after the anthrax attacks of 2001. The ability to characterize such attacks, i.e., to estimate the number of people infected, the time of infection, and the average dose received, is important when planning a medical response. We address this question of characterization by formulating a Bayesian inverse problem predicated on a short time-series of diagnosed patients exhibiting symptoms. To be of relevance to response planning, we limit ourselves to 3-5 days of data. In tests performed with anthrax as the pathogen, we find that these data are usually sufficient, especially if the model of the outbreak used in the inverse problem is an accurate one. In some cases the scarcity of data may initially support outbreak characterizations at odds with the true one, but with sufficient data the correct inferences are recovered; in other words, the inverse problem posed and its solution methodology are consistent. We also explore the effect of model error-situations for which the model used in the inverse problem is only a partially accurate representation of the outbreak; here, the model predictions and the observations differ by more than a random noise. We find that while there is a consistent discrepancy between the inferred and the true characterizations, they are also close enough to be of relevance when planning a response.
Sripada, Yaji
generates summaries of sensor data from a gas turbine. Table 1. Part of a sample of time series data describe and evaluate SumTime-Turbine, a prototype system which uses this architecture to generate textual summaries of sensor data from gas turbines. 1 Introduction It is often said in the NLP community
Reiter, Ehud
describe and evaluate SumTime-Turbine, a prototype system which uses this architecture to generate textual summaries of sensor data from gas turbines. 1 Introduction It is often said in the NLP community simply from sensors in aircraft engines (Hey and Trefethen 2003). Currently numeric time-series data
Thorne, Jacob Westley
2013-05-06
and Methods The data of this study was collected in collaboration with OvaGenix, LP, a private embryo transfer company located in Bryan, TX. All cattle were provided by customers of OvaGenix, LP and the cost of materials and labor were funded by Bioniche... as effective as the 40 mg dose, and thus the 20 mg dose was not included in the present study. Estradiol CIDR?Removal?+?PGF Day?0? Day? FSHProg./Estr.?Combo?+?CIDR? Transfer 1675 8 ? 22? ? Table?1.?? Fertility...
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
Tse, Chi K. "Michael"
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS--I: FUNDAMENTAL THEORY AND APPLICATIONS, VOL. 50, NO. 5 that may be applied to determine whether an observed time series is inconsis- tent with a specific class to the residuals of nonlinear models is equiv- alent to fitting that model subject to an information theoretic
Seminar Series: MAE Seminar, 2015 spring quarter Date and Time: 05/08/2015 -10:30 am11:30 am
Mease, Kenneth D.
In this seminar, I will first discuss our research results of photoelectrochemical generation of hydrogen some of my research into the design and development of quinoline-based organic semiconducting materialsSeminar Series: MAE Seminar, 2015 spring quarter Date and Time: 05/08/2015 - 10:30 am11:30 am
Introduction to Ocean Station Time Series CD-ROM The National Oceanographic Data Center (NODC) and the World Data Center for Oceanography (WDC) have compiled from the NODC Oceanographic Station Data File a set of oceanographic data having repetitive samples along ocean sections or at fixed locations
Schick, Anton
ESTIMATORS FOR TIME SERIES Anton Schick Department of Mathematical Sciences, Binghamtom University Binghamton is semiparametric, with 1 #12;March 3, 2005 14:40 WSPC/Trim Size: 9in x 6in for Review Volume m-bickel04 2 A. Schick
Rabatel, Antoine
Using remote-sensing data to determine equilibrium-line altitude and mass-balance time series to calculate glacier mass balance using remote-sensing data. Snowline measurements from remotely sensed images by ground measurements and remote sensing are compared and show excellent correlation (r2 > 0.89), both
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
Abstract--In this study, we analyzed a dataset of time-series vital-signs data collected combination of the automatically-collected and -qualified vital signs provides the best discrimination between of the vital-signs variables, and used the area under the receiver operating characteristic curve (ROC AUC
Contreras, R.; Catelan, M.; Smith, H. A.; Kuehn, C. A.; Pritzl, B. J.; Borissova, J.
2010-12-15
We present new time-series CCD photometry, in the B and V bands, for the moderately metal-rich ([Fe/H] {approx_equal} -1.3) Galactic globular cluster M62 (NGC 6266). The present data set is the largest obtained so far for this cluster and consists of 168 images per filter, obtained with the Warsaw 1.3 m telescope at the Las Campanas Observatory and the 1.3 m telescope of the Cerro Tololo Inter-American Observatory, in two separate runs over the time span of 3 months. The procedure adopted to detect the variable stars was the optimal image subtraction method (ISIS v2.2), as implemented by Alard. The photometry was performed using both ISIS and Stetson's DAOPHOT/ALLFRAME package. We have identified 245 variable stars in the cluster fields that have been analyzed so far, of which 179 are new discoveries. Of these variables, 133 are fundamental mode RR Lyrae stars (RRab), 76 are first overtone (RRc) pulsators, 4 are type II Cepheids, 25 are long-period variables (LPVs), 1 is an eclipsing binary, and 6 are not yet well classified. Such a large number of RR Lyrae stars places M62 among the top two most RR Lyrae-rich (in the sense of total number of RR Lyrae stars present) globular clusters known in the Galaxy, second only to M3 (NGC 5272) with a total of 230 known RR Lyrae stars. Since this study covers most but not all of the cluster area, it is not unlikely that M62 is in fact the most RR Lyrae-rich globular cluster in the Galaxy. In like vein, thanks to the time coverage of our data sets, we were also able to detect the largest sample of LPVs known so far in a Galactic globular cluster. We analyze a variety of Oosterhoff type indicators for the cluster, including mean periods, period distribution, Bailey diagrams, and Fourier decomposition parameters (as well as the physical parameters derived therefrom). All of these indicators clearly show that M62 is an Oosterhoff type I system. This is in good agreement with the moderately high metallicity of the cluster, in spite of its predominantly blue horizontal branch morphology-which is more typical of Oosterhoff type II systems. We thus conclude that metallicity plays a key role in defining Oosterhoff type. Finally, based on an application of the 'A-method', we conclude that the cluster RR Lyrae stars have a similar He abundance as M3, although more work on the temperatures of the M62 RR Lyrae is needed before this result can be conclusively established.
Series Transmission Line Transformer
Buckles, Robert A. (Livermore, CA); Booth, Rex (Livermore, CA); Yen, Boris T. (El Cerrito, CA)
2004-06-29
A series transmission line transformer is set forth which includes two or more of impedance matched sets of at least two transmissions lines such as shielded cables, connected in parallel at one end ans series at the other in a cascading fashion. The cables are wound about a magnetic core. The series transmission line transformer (STLT) which can provide for higher impedance ratios and bandwidths, which is scalable, and which is of simpler design and construction.
Vermont, University of
and agriculture, including changes in carbon and nitrogen storage, trace gas emissions, quality of surface water from natural vegetation and pastures to row-crop agricultural with the potential to affect regional changed. Today, pastures and areas of natural vegetation are being converted to large-scale croplands
Wang, Ruofan; Wang, Jiang; Deng, Bin Liu, Chen; Wei, Xile; Tsang, K. M.; Chan, W. L.
2014-03-15
A combined method composing of the unscented Kalman filter (UKF) and the synchronization-based method is proposed for estimating electrophysiological variables and parameters of a thalamocortical (TC) neuron model, which is commonly used for studying Parkinson's disease for its relay role of connecting the basal ganglia and the cortex. In this work, we take into account the condition when only the time series of action potential with heavy noise are available. Numerical results demonstrate that not only this method can estimate model parameters from the extracted time series of action potential successfully but also the effect of its estimation is much better than the only use of the UKF or synchronization-based method, with a higher accuracy and a better robustness against noise, especially under the severe noise conditions. Considering the rather important role of TC neuron in the normal and pathological brain functions, the exploration of the method to estimate the critical parameters could have important implications for the study of its nonlinear dynamics and further treatment of Parkinson's disease.
Mitchell, Christopher J; Ahrens, James P; Wang, Jun
2010-10-15
Petascale simulations compute at resolutions ranging into billions of cells and write terabytes of data for visualization and analysis. Interactive visuaUzation of this time series is a desired step before starting a new run. The I/O subsystem and associated network often are a significant impediment to interactive visualization of time-varying data; as they are not configured or provisioned to provide necessary I/O read rates. In this paper, we propose a new I/O library for visualization applications: VisIO. Visualization applications commonly use N-to-N reads within their parallel enabled readers which provides an incentive for a shared-nothing approach to I/O, similar to other data-intensive approaches such as Hadoop. However, unlike other data-intensive applications, visualization requires: (1) interactive performance for large data volumes, (2) compatibility with MPI and POSIX file system semantics for compatibility with existing infrastructure, and (3) use of existing file formats and their stipulated data partitioning rules. VisIO, provides a mechanism for using a non-POSIX distributed file system to provide linear scaling of 110 bandwidth. In addition, we introduce a novel scheduling algorithm that helps to co-locate visualization processes on nodes with the requested data. Testing using VisIO integrated into Para View was conducted using the Hadoop Distributed File System (HDFS) on TACC's Longhorn cluster. A representative dataset, VPIC, across 128 nodes showed a 64.4% read performance improvement compared to the provided Lustre installation. Also tested, was a dataset representing a global ocean salinity simulation that showed a 51.4% improvement in read performance over Lustre when using our VisIO system. VisIO, provides powerful high-performance I/O services to visualization applications, allowing for interactive performance with ultra-scale, time-series data.
Incandela, Joseph
2012-09-14
In July of 2012, scientists leading two different research teams, working independently of each other, announced that they had almost certain proof of the long-sought Higgs boson. Though Cern did not call the discovery "official", many physicists conceded the evidence was now so compelling they had surely found the missing particle. The formal confirmation will come over the next few months of further investigation. The experiments are taking place at the Large Hadron Collider (LHC), and this third lecture in the DOE Science Speaker Series is given by one of those announcing scientists in July. He is Dr. Joseph Incandela, the current spokesperson for the Compact Muon Solenoid (CMS) Experiment at CERN. He was heavily involved in the search for the top quark at Fermi and is from the University of California, Santa Barbara. The title he gives his presentation is "Searching for the genetic code of our universe: Discovery at the LHC."
Künstler, A; Strassmeier, K G
2015-01-01
Solar spots appear to decay linearly proportional to their size. The decay rate of solar spots is directly related to magnetic diffusivity, which itself is a key quantity for the length of a magnetic-activity cycle. Is a linear spot decay also seen on other stars, and is this in agreement with the large range of solar and stellar activity cycle lengths? We investigate the evolution of starspots on the rapidly-rotating ($P_{\\rm rot}$ $\\approx$ 24 d) K0 giant XX Tri, using consecutive time-series Doppler images. Our aim is to obtain a well-sampled movie of the stellar surface over many years, and thereby detect and quantify a starspot decay law for further comparison with the Sun. We obtained continuous high-resolution and phase-resolved spectroscopy with the 1.2-m robotic STELLA telescope on Tenerife over six years. For each observing season, we obtained between 5 to 7 independent Doppler images, one per stellar rotation, making up a total of 36 maps. To quantify starspot area decay and growth, we match the ob...
Kornobis, Karina; Wong, Bryan M; Lodowski, Piotr; Jaworska, Maria; Andruniów, Tadeusz; Rudd, Kenneth; Kozlowski, Pawel M; 10.1021/jp110914y
2011-01-01
Time-dependent density functional theory (TD-DFT) and correlated ab initio methods have been applied to the electronically excited states of vitamin B12 (cyanocobalamin or CNCbl). Different experimental techniques have been used to probe the excited states of CNCbl, revealing many issues that remain poorly understood from an electronic structure point of view. Due to its efficient scaling with size, TD-DFT emerges as one of the most practical tools that can be used to predict the electronic properties of these fairly complex molecules. However, the description of excited states is strongly dependent on the type of functional used in the calculations. In the present contribution, the choice of a proper functional for vitamin B12 was evaluated in terms of its agreement with both experimental results and correlated ab initio calculations. Three different functionals, i.e. B3LYP, BP86, and LC-BLYP, were tested. In addition, the effect of relative contributions of DFT and HF to the exchange-correlation functional ...
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
JLab announces two Spring Science Series events - topics include...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
the University of Virginia, will examine "How Things Work." He will offer the audience an introduction to the physics and science found in everyday life; and examine objects from...
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
Wehlau, David
Math 421 Fourier Series Autumn 2006 Text: Fourier Series, by Rajendra Bhatia, Math. Assoc. of America, 2005. Topics Covered: Ch. 1, Fourier series and the heat equation Ch. 2, Convergence of Fourier series Ch. 3, Sine and cosine series, arbitrary pe- riods, sin(x)/x, Gibbs's phenomenon Ch. 4
Fourier Series and Integrals Fourier Series
Mehta, Pankaj
Fourier Series and Integrals Fourier Series Let f(x) be a piecewise linear function on [-L, L(x) can be expanded in a Fourier series f(x) = a0 2 + n=1 an cos nx L + bn sin nx L , (1a) or schematic form of the Fourier series is f(x) = n (an^cn + bn^sn). (2) This emphasizes that the Fourier
International Association for Cryptologic Research (IACR)
inputs collected through a smart metering network. The main shortcomings of this solution are its environment whereby data is produced by a set of users that hold smart meters. Smart meters can report accurately at specific time intervals energy, gas or water consumption. Considering electricity consumption
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
Pump apparatus including deconsolidator
Sonwane, Chandrashekhar; Saunders, Timothy; Fitzsimmons, Mark Andrew
2014-10-07
A pump apparatus includes a particulate pump that defines a passage that extends from an inlet to an outlet. A duct is in flow communication with the outlet. The duct includes a deconsolidator configured to fragment particle agglomerates received from the passage.
Caporaso, G.J.; Sampayan, S.E.; Kirbie, H.C.
1998-10-13
A dielectric-wall linear accelerator is improved by a high-voltage, fast rise-time switch that includes a pair of electrodes between which are laminated alternating layers of isolated conductors and insulators. A high voltage is placed between the electrodes sufficient to stress the voltage breakdown of the insulator on command. A light trigger, such as a laser, is focused along at least one line along the edge surface of the laminated alternating layers of isolated conductors and insulators extending between the electrodes. The laser is energized to initiate a surface breakdown by a fluence of photons, thus causing the electrical switch to close very promptly. Such insulators and lasers are incorporated in a dielectric wall linear accelerator with Blumlein modules, and phasing is controlled by adjusting the length of fiber optic cables that carry the laser light to the insulator surface. 12 figs.
Caporaso, George J. (Livermore, CA); Sampayan, Stephen E. (Manteca, CA); Kirbie, Hugh C. (Dublin, CA)
1998-01-01
A dielectric-wall linear accelerator is improved by a high-voltage, fast rise-time switch that includes a pair of electrodes between which are laminated alternating layers of isolated conductors and insulators. A high voltage is placed between the electrodes sufficient to stress the voltage breakdown of the insulator on command. A light trigger, such as a laser, is focused along at least one line along the edge surface of the laminated alternating layers of isolated conductors and insulators extending between the electrodes. The laser is energized to initiate a surface breakdown by a fluence of photons, thus causing the electrical switch to close very promptly. Such insulators and lasers are incorporated in a dielectric wall linear accelerator with Blumlein modules, and phasing is controlled by adjusting the length of fiber optic cables that carry the laser light to the insulator surface.
Lewicki, Jennifer; Lewicki, J.L.; Fischer, M.L.; Hilley, G.E.
2007-10-15
CO{sub 2} and heat fluxes were measured over a six-week period (09/08/2006 to 10/24/2006) by the eddy covariance (EC) technique at the Horseshoe Lake tree kill (HLTK), Mammoth Mountain, CA, a site with complex terrain and high, spatially heterogeneous CO{sub 2} emission rates. EC CO{sub 2} fluxes ranged from 218 to 3500 g m{sup -2} d{sup -1} (mean = 1346 g m{sup -2} d{sup -1}). Using footprint modeling, EC CO{sub 2} fluxes were compared to CO{sub 2} fluxes measured by the chamber method on a grid repeatedly over a 10-day period. Half-hour EC CO{sub 2} fluxes were moderately correlated (R{sup 2} = 0.42) with chamber fluxes, whereas average-daily EC CO{sub 2} fluxes were well correlated (R{sup 2} = 0.70) with chamber measurements. Average daily EC CO{sub 2} fluxes were correlated with both average daily wind speed and atmospheric pressure; relationships were similar to those observed between chamber CO{sub 2} fluxes and the atmospheric parameters over a comparable time period. Energy balance closure was assessed by statistical regression of EC energy fluxes (sensible and latent heat) against available energy (net radiation, less soil heat flux). While incomplete (R{sup 2} = 0.77 for 1:1 line), the degree of energy balance closure fell within the range observed in many investigations conducted in contrasting ecosystems and climates. Results indicate that despite complexities presented by the HLTK, EC can be reliably used to monitor background variations in volcanic CO{sub 2} fluxes associated with meteorological forcing, and presumably changes related to deeply derived processes such as volcanic activity.
ENGI 9420 Lecture Notes 7 -Fourier Series Page 7.01 7. Fourier Series and Fourier Transforms
George, Glyn
ENGI 9420 Lecture Notes 7 - Fourier Series Page 7.01 7. Fourier Series and Fourier Transforms Fourier series have multiple purposes, including the provision of series solutions to some linear partial differential equations with boundary conditions (as will be reviewed in Chapter 8). Fourier transforms
Learning connections in financial time series
Gartheeban, Ganeshapillai
2014-01-01
Much of modern financial theory is based upon the assumption that a portfolio containing a diversified set of equities can be used to control risk while achieving a good rate of return. The basic idea is to choose equities ...
Exact Primitives for Time Series Data Mining
Mueen, Abdullah Al
2012-01-01
on Knowledge discovery and data mining, KDD, pages 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
Downhole delay assembly for blasting with series delay
Ricketts, Thomas E. (Grand Junction, CO)
1982-01-01
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.
Introduction to Fourier Series
2014-10-15
Oct 15, 2014 ... The Basics. Fourier series ... period L. Sine and cosine are the most “basic” periodic functions! .... So just sit back, relax, and enjoy the ride!
Measurement Guide and Programming PSA and ESA Series Spectrum Analyzers
Anlage, Steven
Measurement Guide and Programming Examples PSA and ESA Series Spectrum Analyzers This manual information about Agilent Technologies PSA and ESA spectrum analyzers, including firmware upgrades
Mark W. Coffey
2008-12-09
We evaluate binomial series with harmonic number coefficients, providing recursion relations, integral representations, and several examples. The results are of interest to analytic number theory, the analysis of algorithms, and calculations of theoretical physics, as well as other applications.
Fourier series and periodicity
Donal F. Connon
2014-12-07
A large number of the classical texts dealing with Fourier series more or less state that the hypothesis of periodicity is required for pointwise convergence. In this paper, we highlight the fact that this condition is not necessary.
Kalueff, Allan V.
adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed + Business Media made a renewed commitment to this series. The new program will focus on methods
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
Pathobiology Department Seminar Series COMPARATIVE PATHOBIOLOGY SEMINAR SERIES
Alpay, S. Pamir
. Bushmich) Senior Director of Investigative Pathology Drug Safety Research & Development Pfizer, Inc "TissuePathobiology Department Seminar Series COMPARATIVE PATHOBIOLOGY SEMINAR SERIES Thursdays, 11:00 A
Solar Energy Education. Reader, Part II. Sun story. [Includes glossary
Not Available
1981-05-01
Magazine articles which focus on the subject of solar energy are presented. The booklet prepared is the second of a four part series of the Solar Energy Reader. Excerpts from the magazines include the history of solar energy, mythology and tales, and selected poetry on the sun. A glossary of energy related terms is included. (BCS)
Coyle, R. T. (Lakewood, CO); Barrett, Joy M. (Eldorado Springs, CO)
1984-01-01
Disclosed is a process for substantially reducing the series resistance of a solar cell having a thick film metal contact assembly thereon while simultaneously removing oxide coatings from the surface of the assembly prior to applying solder therewith. The process includes applying a flux to the contact assembly and heating the cell for a period of time sufficient to substantially remove the series resistance associated with the assembly by etching the assembly with the flux while simultaneously removing metal oxides from said surface of said assembly.
Energy Management Webinar Series
Broader source: Energy.gov [DOE]
Boost your knowledge on how to implement an energy management system through this four-part webinar series from the Superior Energy Performance program. Each webinar introduces various elements of the ISO 50001 energy management standard—based on the Plan-Do-Check-Act approach—and the associated steps of DOE's eGuide for ISO 50001 software tool.
Klein, Ophir
Bay Area Global Health Seminar Series Moving beyond millennium targets in global health: The challenges of investing in health and universal health coverage Although targets can help to focus global health efforts, they can also detract attention from deeper underlying challenges in global health
Stoltz, Brian M.
Bioengineering Lecture Series Refreshments will be served at 3:40 pm in the lobby BELS contact Sang Yup Lee KAIST mbel.kaist.ac.kr/lab/family/professor.html Distinguished Professor of Bioengineering-amines, and biopolymers will be described. Co-sponsored by the Bioengineering Department and the Resnick Institute #12;
Henrik Stenlund
2012-04-24
This work introduces a new functional series for expanding an analytic function in terms of an arbitrary analytic function. It is generally applicable and straightforward to use. It is also suitable for approximating the behavior of a function with a few terms. A new expression is presented for the composite function's n'th derivative. The inverse-composite method is handled in this work also.
Countries Gasoline Prices Including Taxes
Gasoline and Diesel Fuel Update (EIA)
Crude oil, gasoline, heating oil, diesel, propane, and other liquids including biofuels and natural gas liquids. Natural Gas Exploration and reserves, storage, imports and...
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
2006-05-23
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.
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effect Photovoltaics -7541 *ImpactScience of SignaturesSoft0 Soils Soil Series and
Neutralino relic density including coannihilations
Paolo Gondolo; Joakim Edsjo
1997-11-25
We give an overview of our precise calculation of the relic density of the lightest neutralino, in which we included relativistic Boltzmann averaging, subthreshold and resonant annihilations, and coannihilation processes with charginos and neutralinos.
Coyle, R.T.; Barrett, J.M.
1982-05-04
Disclosed is a process for substantially reducing the series resistance of a solar cell having a thick film metal contact assembly thereon while simultaneously removing oxide coatings from the surface of the assembly prior to applying solder therewith. The process includes applying a flux to the contact assembly and heating the cell for a period of time sufficient to substantially remove the series resistance associated with the assembly by etching the assembly with the flux while simultaneously removing metal oxides from said surface of said assembly.
Global Change and Sustainability Center Spring Seminar Series
Tipple, Brett
science. His research interests include sustainable development, Muslim and South Asian politicsGlobal Change and Sustainability Center Spring Seminar Series " Environment, Development & Security in the Age of Climate Change Adaptation
Electric Power Monthly, August 1990. [Glossary included
Not Available
1990-11-29
The Electric Power Monthly (EPM) presents monthly summaries of electric utility statistics at the national, Census division, and State level. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. Data includes generation by energy source (coal, oil, gas, hydroelectric, and nuclear); generation by region; consumption of fossil fuels for power generation; sales of electric power, cost data; and unusual occurrences. A glossary is included.
Electric power monthly, September 1990. [Glossary included
Not Available
1990-12-17
The purpose of this report is to provide energy decision makers with accurate and timely information that may be used in forming various perspectives on electric issues. The power plants considered include coal, petroleum, natural gas, hydroelectric, and nuclear power plants. Data are presented for power generation, fuel consumption, fuel receipts and cost, sales of electricity, and unusual occurrences at power plants. Data are compared at the national, Census division, and state levels. 4 figs., 52 tabs. (CK)
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
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
Kessler, Christoph
] (where a[n] = +infty). C's * bsearch() can't be used, it requires a[j]==key. */ int findloc( void *key CombineCRCW BSPQuicksort * variant by Gerbessiotis/Valiant JPDC 22(1994) * implemented in NestStepC. */ int N=10; // default value /** findloc(): find largest index j in [0..n1] with * a[j
Mellor, David Hugh
2001-01-01
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...
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...
UNEP Policy Series ECOSYSTEM MANAGEMENT
1 UNEP Policy Series ECOSYSTEM MANAGEMENT Sustaining Forests: Sustaining forests: Investing in our ...........................................................................6 II. Threats to the world's forests: a complex policy problem ............................7 A. Market failures, financial mechanisms and costs of business ..................8 III. Innovative policy
Eisenstein Series in String Theory
N. A. Obers; B. Pioline
2000-03-01
We discuss the relevance of Eisenstein series for representing certain G(Z)-invariant string theory amplitudes which receive corrections from BPS states only. The Eisenstein series are constructed using G(Z)-invariant mass formulae and are manifestly invariant modular functions on the symmetric space K\\G(R) of non-compact type, with K the maximal compact subgroup of G(R). In particular, we show how Eisenstein series of the T-duality group SO(d,d,Z) can be used to represent one- and g-loop amplitudes in compactified string theory. We also obtain their non-perturbative extensions in terms of the Eisenstein series of the U-duality group E_{d+1(d+1)}(Z).
Castle series, 1954. Technical report
Martin, E.J.; Rowland, R.H.
1982-04-01
CASTLE was an atmospheric nuclear weapons test series held in the Marshall Islands at Enewetak and Bikini atolls in 1954. This is a report of DOD peronnel in CASTLE with an emphasis on operations and radiological safety.
Basic Fourier Series Academic Resource Center
Heller, Barbara
Basic Fourier Series Academic Resource Center Workshop for BME by: Neha Bansal #12;Agenda · Fourier Series · Trigonometric Fourier Series · Compact Trigonometric Fourier Series · Examples o Square Waves o Sawtooth Waves · References #12;Fourier Series · A periodic function f(t) can be represented by an infinite
Cyclical Components in Economic Time Series: a Bayesian Approach
Harvey, Andrew C.; Trimbur, Thomas; van Dijk, Herman
2004-06-16
V v 0 4 2Z*b S f?He. f?H f?2DD f?H.S 2??e 2 f?D.e f?bfb f?eDb f?S.f 2D?. 6 f??f? f?b2f f?Se2 f?DH 2e?b 7 f?DDf f?b?D f?SSf f?D? 2e? Wdeoh 7= Srvwhulru phdqv iru d elyduldwh prgho iru txduwhuo| XV uhdo JGS dqg lqyhvwphqw iurp 4<7:=4 wr 5334...
Deriving emissions time series from sparse atmospheric mole fractions
Rigby, Matthew
A growth-based Bayesian inverse method is presented for deriving emissions of atmospheric trace species from temporally sparse measurements of their mole fractions. This work is motivated by many recent studies that have ...
V-uniform ergodicity of threshold autoregressive nonlinear time series
Boucher, Thomas Richard
2004-09-30
-uniform ergodicity for the k-step chain: limsup bardblxbardblarrowrightinfinity E(V(Xn+k)|X0 = x) V(x) < 1 (2.3) and for all M < infinity sup bardblxbardbl<=
Events, Neural Systems and Time Series Leslie Smith1
Smith, Leslie S.
Bizarro4 1 Computing Science and Mathematics, School of Natural Sciences, University of Stirling, Stirling Informatics Engineering Department, University of Coimbra, 3030-290 Coimbra, Portugal Abstract. Different
RESULTS Greenhouse Gas Time Series SUMMARY AND CONCLUSIONS
fitting method2 . · Soil temperature at 5 cm taken concurrently with chambers · Soil water content of top limited below a soil water content of 63% and are diffusion limited above 63%. · Soil temperature with showing an exponential dependence of CO2 on temperature; b) Soil water content vs. temperature CO2 model
Change Detection in Time Series Data Using Wavelet Footprints
Shahabi, Cyrus
's Center of Excellence for Research and Aca- demic Training on Interactive Smart Oilfield Technologies (Ci
Self-organizing Time Series Model Tomoyuki Higuchi
Higuchi, Tomoyuki
.1) observation model yt r( jxt obs) (1.2) where xt is an nx 1 vector of unobserved sate variables, and yt R) (1.6) where F G, and H are nx nx, nx nv , and ny nx matrices, respectively. Q and R enormously with respect to the state dimension nx (Carlin, Polson and Sto er 1992, Fahrmeir 1992, Fruhwirth
Essays on Bayesian Time Series and Variable Selection
De, Debkumar
2014-05-08
Estimating model parameters in dynamic model continues to be challenge. In my dissertation, we have introduced a Stochastic Approximation based parameter estimation approach under Ensemble Kalman Filter set-up. Asymptotic properties of the resultant...
DETECTING REGIMES IN TEMPERATURE TIME SERIES PATRICK J. CLEMINS
Povinelli, Richard J.
, such as the northern hemisphere during the winter, tend to follow a regime structure. The El Nino cycle, which has two
Condition Evaluation for Speculative Systems: a Streaming Time Series Case
Wang, Xiaoyang "Sean"
., Univ. of Vermont xywang@cs.uvm.edu Like Gao CS Dept., Univ. of Vermont lgao@cs.uvm.edu Min Wang IBM T
Essays on time series and causality analysis in financial markets
Zohrabyan, Tatevik
2009-05-15
DAG Directed Acyclic Graph EN Energy ENC East North Central ESC East South Central EUR Euro FI Financials Finl Finland Fran France Germ Germany GICS Global Industry Classification Sector HC Health Care HK Honk Kong vii Hung Hungary...-denominated Data in Post-Euro Period ......................................................................................................... 88 3.7 Estimated Copula Parameters for EUR-denominated Data in Post-Euro Period...
Applications of Time Series in Finance and Macroeconomics
Ibarra Ramirez, Raul
2011-08-08
out-of-sample fore- casts for the in ation rate in Mexico. Factor models are useful to summarize the information contained in large datasets. We evaluate the role of using a wide range of macroeconomic variables to forecast in ation, with particular...-2006 : : : : 42 V Stochastic Dominance Test : : : : : : : : : : : : : : : : : : : : : : : 46 VI Forecasting Results: Headline In ation : : : : : : : : : : : : : : : : : 65 VII Forecasting Results: Core In ation : : : : : : : : : : : : : : : : : : : 66 VIII...
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
Modeling and Prediction of Time Series of Directed Binary Networks
Betancourt, Brenda
2015-01-01
O. , Sindharan, K. & Tewari, A. (2010). Learning exponentialC . Shalev-Shwartz, S. & Tewari, A. (2011). Stochasticby Shalev- Shwartz & Tewari (2011) (see also Carpenter,
Stochastic Simulation Methods for Precipitation and Streamflow Time Series
Li, Chao
2013-04-30
One major acknowledged challenge in daily precipitation is the inability to model extreme events in the spectrum of events. These extreme events are rare but may cause large losses. How to realistically simulate extreme ...
Mechanical Engineering Department Seminar Series
Awtar, Shorya
electrode. The solar battery provides a promising approach of making renewable energy more affordable. . BioMechanical Engineering Department Seminar Series Rechargeable K-Oxygen and Solar Batteries: From of fuel cells and metal-air batteries. In my talk, I will first present a K-O2 battery that uses K+ ions
Series expansions and sudden singularities
John D. Barrow; S. Cotsakis; A. Tsokaros
2013-01-28
We construct solutions of the Friedmann equations near a sudden singularity using generalized series expansions for the scale factor, the density, and the pressure of the fluid content. In this way, we are able to arrive at a solution with a sudden singularity containing two free constants, as required for a general solution of the cosmological equations.
UCDscholarcast Series 13 (Spring 2015)
with Dublin City Public Libraries) Series Editor: Derek Hand General Editor: P.J. Mathews © UCDscholarcast #12 itself. Barrytown functions as a self-contained and seemingly insular space where the notion of public is the dissolution of the boundaries that exist between public and private. Within both the Rabbitte household
MacAdam, Keith
2014-2015Series College of Engineering University of Kentucky is accredited by the Southern of Kentucky. The curriculum in biosystems engineering is administered jointly by the College of Engineering and the College of Agriculture. Graduates earn the Bachelor of Science in Biosystems Engineering degree
Statnikov, Alexander
2011-01-01
, smoking and coughing might be both predictive of respiratory disease and helpful for diagnosis purposes. However, if smoking is a cause and coughing a conse- quence, acting on the cause (smoking) can change your health status, but not acting on the symptom or consequence (coughing). Thus it is extremely important
Bertini, Robert L.
measures are temperature, visibility, wind speed, and rainfall. From the basic sensor data PORTAL computes and is often broken into three component areas: environmental, economic, and social (3). Environmental consumption of nonrenewable fossil fuels. Economic Sustainability The cost of fuel consumed for transportation
Prices include compostable serviceware and linen tablecloths
California at Davis, University of
APPETIZERS Prices include compostable serviceware and linen tablecloths for the food tables.ucdavis.edu. BUTTERNUT SQUASH & BLACK BEAN ENCHILADAS #12;BUFFETS Prices include compostable serviceware and linen
Equalizer system and method for series connected energy storing devices
Rouillard, Jean (Saint-Luc, CA); Comte, Christophe (Montreal, CA); Hagen, Ronald A. (Stillwater, MN); Knudson, Orlin B. (Vadnais Heights, MN); Morin, Andre (Longueuil, CA); Ross, Guy (Beloeil, CA)
1999-01-01
An apparatus and method for regulating the charge voltage of a number of electrochemical cells connected in series is disclosed. Equalization circuitry is provided to control the amount of charge current supplied to individual electrochemical cells included within the series string of electrochemical cells without interrupting the flow of charge current through the series string. The equalization circuitry balances the potential of each of the electrochemical cells to within a pre-determined voltage setpoint tolerance during charging, and, if necessary, prior to initiating charging. Equalization of cell potentials may be effected toward the end of a charge cycle or throughout the charge cycle. Overcharge protection is also provided for each of the electrochemical cells coupled to the series connection. During a discharge mode of operation in accordance with one embodiment, the equalization circuitry is substantially non-conductive with respect to the flow of discharge current from the series string of electrochemical cells. In accordance with another embodiment, equalization of the series string of cells is effected during a discharge cycle.
Summer Series 2012 - Shashi Buluswar
Shashi Buluswar
2013-06-24
The last installment of the "Summer Series of Conversations" took place Wednesday, August 1, with guest Shashi Buluswar, the executive director of the LBNL Institute for Globally Transformative Technologies (LIGTT). The Institute seeks to foster the discovery, development and deployment of a generation of low-carbon, affordable technologies that will advance sustainable methods to fight global poverty. The event, was hosted by Public Affairs Head Jeff Miller.
Summer Series 2012 - Shashi Buluswar
Shashi Buluswar
2012-08-08
The last installment of the "Summer Series of Conversations" took place Wednesday, August 1, with guest Shashi Buluswar, the executive director of the LBNL Institute for Globally Transformative Technologies (LIGTT). The Institute seeks to foster the discovery, development and deployment of a generation of low-carbon, affordable technologies that will advance sustainable methods to fight global poverty. The event, was hosted by Public Affairs Head Jeff Miller.
John Ashmead
2010-05-05
Normally we quantize along the space dimensions but treat time classically. But from relativity we expect a high level of symmetry between time and space. What happens if we quantize time using the same rules we use to quantize space? To do this, we generalize the paths in the Feynman path integral to include paths that vary in time as well as in space. We use Morlet wavelet decomposition to ensure convergence and normalization of the path integrals. We derive the Schr\\"odinger equation in four dimensions from the short time limit of the path integral expression. We verify that we recover standard quantum theory in the non-relativistic, semi-classical, and long time limits. Quantum time is an experiment factory: most foundational experiments in quantum mechanics can be modified in a way that makes them tests of quantum time. We look at single and double slits in time, scattering by time-varying electric and magnetic fields, and the Aharonov-Bohm effect in time.
Lagi, Marco; Bertrand, Karla Z; Bar-Yam, Yaneer
2012-01-01
Increases in global food prices have led to widespread hunger and social unrest---and an imperative to understand their causes. In a previous paper published in September 2011, we constructed for the first time a dynamic model that quantitatively agreed with food prices. Specifically, the model fit the FAO Food Price Index time series from January 2004 to March 2011, inclusive. The results showed that the dominant causes of price increases during this period were investor speculation and ethanol conversion. The model included investor trend following as well as shifting between commodities, equities and bonds to take advantage of increased expected returns. Here, we extend the food prices model to January 2012, without modifying the model but simply continuing its dynamics. The agreement is still precise, validating both the descriptive and predictive abilities of the analysis. Policy actions are needed to avoid a third speculative bubble that would cause prices to rise above recent peaks by the end of 2012.
Trends in Higher Education Series Education Pays 2013
Zhou, Xianghong Jasmine
Pricing, Trends in Student Aid, and Education Pays series in addition to How College Shapes Lives. In addition to the figures and tables included in this report, more information and data can be found by Education Level 13 Earnings Premium Relative to Price of Education FIGURE 1.3 Cumulative Earnings Net
Offshore Series Wind Turbine Variable Hub heights & rotor diameters
Firestone, Jeremy
3.6MW Offshore Series Wind Turbine GE Energy #12;Feature Variable Hub heights & rotor diameters-savings feature, considering the rigors of offshore power generation. The 3.6 MW offshore wind turbine also, for both on and offshore use. Special features include... As the world's first commercially available wind
PNNL's Community Science & Technology Seminar Series Nuclear Power in a
PNNL's Community Science & Technology Seminar Series Nuclear Power in a Post-Fukushima World generated by nuclear power. What will the U.S. energy portfolio look like, and how will the energy demand is focused on longer- term operation of nuclear power plants, including measurements to detect
MARINE ECOLOGY PROGRESS SERIES Mar Ecol Prog Ser
Shima, Jeff
MARINE ECOLOGY PROGRESS SERIES Mar Ecol Prog Ser Vol. 472: 239248, 2013 doi: 10.3354/meps10015 in the system via a range of mechanisms, including competition-colonization tradeoffs (Levins & Culver 1971 holder(s). It may be distributed to interested individuals on request. #12;Mar Ecol Prog Ser 472: 239
UCDscholarcast Series 1 (Spring 2008)
of the twentieth century. These might include Catholic Truth Society fictions and religious pamphlets, Our Boy
Bibliography of the Scripps Institution of Oceanography Reference Series 2001
Criqui, Nan P.; Kuhns, Kittie K.
2002-01-01
Scripps Institution of Oceanography Reference Series 2001.SCRIPPS INSTITUTION OF OCEANOGRAPHY REFERENCE SERIES 01-01
Quantum Mechanics Summary/Review Spring 2009 Compton Lecture Series
Quantum Mechanics Summary/Review Spring 2009 Compton Lecture Series: From Quantum Mechanics one component at a time. · Planck's constant determines the scale at which quantum mechanical effects could get rid of quantum mechanical effects The "wavelength" of particles given by h mv would all
Synchronous Machine Parameter Estimation Using Orthogonal Series Expansion
Synchronous Machine Parameter Estimation Using Orthogonal Series Expansion J. Rico G. T. Heydt A an alternative to estimate armature circuit parameters of large utility generators using real time operating data of digital fault recorder data to identify synchronous machine parameters. 1. INTRODUCTION The use orthogonal
MARINE ECOLOGY PROGRESS SERIES Mar Ecol Prog Ser
Krug, Patrick J.
MARINE ECOLOGY PROGRESS SERIES Mar Ecol Prog Ser Vol. 312: 149159, 2006 Published April 24 therefore have limited time to locate and colonize a suitable adult habitat. Domi- nant spatial competitors consent of the publisher #12;Mar Ecol Prog Ser 312: 149159, 2006 energy reserves, they became `desperate
Series interconnected photovoltaic cells and method for making same
Albright, S.P.; Chamberlin, R.R.; Thompson, R.A.
1995-01-31
A novel photovoltaic module and method for constructing the same are disclosed. The module includes a plurality of photovoltaic cells formed on a substrate and laterally separated by interconnection regions. Each cell includes a bottom electrode, a photoactive layer and a top electrode layer. Adjacent cells are connected in electrical series by way of a conductive-buffer line. The buffer line is also useful in protecting the bottom electrode against severing during downstream layer cutting processes. 11 figs.
SERI biomass program annual technical report: 1982
Bergeron, P.W.; Corder, R.E.; Hill, A.M.; Lindsey, H.; Lowenstein, M.Z.
1983-02-01
The biomass with which this report is concerned includes aquatic plants, which can be converted into liquid fuels and chemicals; organic wastes (crop residues as well as animal and municipal wastes), from which biogas can be produced via anerobic digestion; and organic or inorganic waste streams, from which hydrogen can be produced by photobiological processes. The Biomass Program Office supports research in three areas which, although distinct, all use living organisms to create the desired products. The Aquatic Species Program (ASP) supports research on organisms that are themselves processed into the final products, while the Anaerobic Digestion (ADP) and Photo/Biological Hydrogen Program (P/BHP) deals with organisms that transform waste streams into energy products. The P/BHP is also investigating systems using water as a feedstock and cell-free systems which do not utilize living organisms. This report summarizes the progress and research accomplishments of the SERI Biomass Program during FY 1982.
H-Series Cast Austenitic Stainless Steels
Broader source: Energy.gov [DOE]
Cast H-Series austenitic steels are used extensively in several industries for a broad range of high-temperature applications. The H-Series stainless steels have evolved over many years of complex...
Memory Constraints for Power-Law Series
Guo, Fangjian; Zhao, Zhi-Dan; Zhou, Tao
2015-01-01
Many time series produced by complex systems are empirically found to follow power-law distributions with different exponents $\\alpha$. By permuting the independently drawn samples from a power-law distribution, we present non-trivial bounds on the memory (1st-order autocorrelation) as a function of $\\alpha$, which are markedly different from the ordinary $\\pm 1$ bounds for Gaussian or uniform distributions. When $1 3$, the upper bound remains +1 while the lower bound descends below 0. Theoretical bounds agree well with numerical simulations. Based on the ratings of MovieLens and posts in Twitter, we also find that empirical power-law distributed data produced by human activities conform to such constraints.
Strictly singular operators and isomorphisms of Cartesian products of power series spaces
Yanikoglu, Berrin
Strictly singular operators and isomorphisms of Cartesian products of power series spaces By P. BÃ?the spaces that include Cartesian and tensor products of power series spaces (for further developments see of Fredholm operators to develop a method to classify Cartesian products of locally convex spaces
INSTRUMENTATION, INCLUDING NUCLEAR AND PARTICLE DETECTORS; RADIATION
Office of Scientific and Technical Information (OSTI)
interval technical basis document Chiaro, P.J. Jr. 44 INSTRUMENTATION, INCLUDING NUCLEAR AND PARTICLE DETECTORS; RADIATION DETECTORS; RADIATION MONITORS; DOSEMETERS;...
ENGI 5432 3. Fourier Series Page 3.01 3. Fourier Series
George, Glyn
ENGI 5432 3. Fourier Series Page 3.01 3. Fourier Series This short chapter offers a very brief review of [discrete] Fourier series. The Fourier series of f (x) on the interval (L, L) is ( ) 0 1 cos - = = ... The {an, bn} are the Fourier coefficients of f (x). Note that the cosine functions (and the function 1
Serie e trasformate di Fourier (1) Verificare i seguenti sviluppi in serie di Fourier
Presilla, Carlo
F12 Serie e trasformate di Fourier (1) Verificare i seguenti sviluppi in serie di Fourier (a) sgn . (2) Sviluppare in serie trigonometrica di Fourier nell'intervallo [-, ] la funzione f(x) = ex . Dimostrare che n=1 1 1 + n2 = 1 2 coth - 1 (3) Sviluppare in serie trigonometrica di Fourier nell
Operating Innovative Networks Workshop Series
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
techniques. Combined, these technologies are proven to support high-performance, big data science applications, including high-volume bulk data transfer, remote experiment...
The summation of certain series
Holder, Leonard Irvin
1951-01-01
write //= / k =/ C~k-/J+ k~/ But since ~ ? = Z ?, we have ~ 2 g. ~ 2k=/ / / )=E- ? ' /I=/ ~C&~2! = (ig '=' a' Z(&p/(/ or, For p ~ 1, 2, 3 the sums are 7r B Now, if we subtract sides of equation (5-11), the series z= ~~. - we obtain from... A = ~ (/FZ) ~CF and ~ = ~ (/ ? ig. Now mr cot 8 F c/zt' 8' = ~ + ~i//g ~/n8 ZD/ BF ca F c ms' &/'ng s/'n E and cps (g p) ? ceo(s/e) ' cps(g-8) ? ccrc (agP Thus C ) ~ p( p amer~ ~u ca5 z /z 77cl ? &o5fz rrip a. nd 7j cr (' ) ? ZW//7 d VD 77...
Dedicated heterogeneous node scheduling including backfill scheduling
Wood, Robert R. (Livermore, CA); Eckert, Philip D. (Livermore, CA); Hommes, Gregg (Pleasanton, CA)
2006-07-25
A method and system for job backfill scheduling dedicated heterogeneous nodes in a multi-node computing environment. Heterogeneous nodes are grouped into homogeneous node sub-pools. For each sub-pool, a free node schedule (FNS) is created so that the number of to chart the free nodes over time. For each prioritized job, using the FNS of sub-pools having nodes useable by a particular job, to determine the earliest time range (ETR) capable of running the job. Once determined for a particular job, scheduling the job to run in that ETR. If the ETR determined for a lower priority job (LPJ) has a start time earlier than a higher priority job (HPJ), then the LPJ is scheduled in that ETR if it would not disturb the anticipated start times of any HPJ previously scheduled for a future time. Thus, efficient utilization and throughput of such computing environments may be increased by utilizing resources otherwise remaining idle.
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...
Climate Change Task Force Webinar Series | Department of Energy
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
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...
In the second VRC task, teams had to guide the robot over a series of terrain, including mud,
Stryk, Oskar von
, uneven ground and a debris-littered path. Get Our Free Newsletters Space - Defense - Environment - Energy for the six teams that did best, but in an interesting twist, good sportsmanship and generosity will allow Integration Center Strange Flames on the ISS Europe's space truck docks with ISS SpaceX Will Launch
Springer Series in Statistics Springer Series in Statistics
Cappé, Olivier
and practitioners in areas such as statistics, signal processing, communications engineering, control theory 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
Course may include: Research in Education
Course may include: Research in Education Statistics in Education Theories of Educational Admin Policy Analysis Sociological Aspects of Education Approaches to Literacy Development Information and Communication Technologies Issues in Education Final Project Seminar Master of Education Educational
Gas storage materials, including hydrogen storage materials
Mohtadi, Rana F; Wicks, George G; Heung, Leung K; Nakamura, Kenji
2014-11-25
A material for the storage and release of gases comprises a plurality of hollow elements, each hollow element comprising a porous wall enclosing an interior cavity, the interior cavity including structures of a solid-state storage material. In particular examples, the storage material is a hydrogen storage material, such as a solid state hydride. An improved method for forming such materials includes the solution diffusion of a storage material solution through a porous wall of a hollow element into an interior cavity.
Gas storage materials, including hydrogen storage materials
Mohtadi, Rana F; Wicks, George G; Heung, Leung K; Nakamura, Kenji
2013-02-19
A material for the storage and release of gases comprises a plurality of hollow elements, each hollow element comprising a porous wall enclosing an interior cavity, the interior cavity including structures of a solid-state storage material. In particular examples, the storage material is a hydrogen storage material such as a solid state hydride. An improved method for forming such materials includes the solution diffusion of a storage material solution through a porous wall of a hollow element into an interior cavity.
Hayes, Jane E.
engineering. Fundamental principles related to the transformation of matter and energy are developed in subjects including thermodynamics, fluid flow, separations, heat and mass transfer, reactor design Semester Hours CME 200 Process Principles
MacAdam, Keith
engineering. Fundamental principles related to the transformation of matter and energy are developed in subjects including thermodynamics, fluid flow, separa- tions, heat and mass transfer, reactor design Sophomore Year First Semester Hours CME 200 Process Principles
Hayes, Jane E.
engineering. Fundamental principles related to the transformation of matter and energy are developed in subjects including thermodynamics, fluid flow, separations, heat and mass transfer, reactor design Semester Hours CME 200 Process Principles
Transportation Energy Futures Series: Projected Biomass Utilization...
Office of Scientific and Technical Information (OSTI)
Transportation Energy Futures Series: Projected Biomass Utilization for Fuels and Power in a Mature Market Ruth, M.; Mai, T.; Newes, E.; Aden, A.; Warner, E.; Uriarte, C.; Inman,...
Paralytic Shellfish Poisoning: A Case Series
Hurley, William; Wolterstorff, Cameron; MacDonald, Ryan; Shultz, Debora
2014-01-01
Schultz, RN * * Washington Poison Control Center, Seattle,arrest. CASE SERIES The poison center was contacted byby searching Washington Poison Center records from the 6-
Scramjet including integrated inlet and combustor
Kutschenreuter, P.H. Jr.; Blanton, J.C.
1992-02-04
This patent describes a scramjet engine. It comprises: a first surface including an aft facing step; a cowl including: a leading edge and a trailing edge; an upper surface and a lower surface extending between the leading edge and the trailing edge; the cowl upper surface being spaced from and generally parallel to the first surface to define an integrated inlet-combustor therebetween having an inlet for receiving and channeling into the inlet-combustor supersonic inlet airflow; means for injecting fuel into the inlet-combustor at the step for mixing with the supersonic inlet airflow for generating supersonic combustion gases; and further including a spaced pari of sidewalls extending between the first surface to the cowl upper surface and wherein the integrated inlet-combustor is generally rectangular and defined by the sidewall pair, the first surface and the cowl upper surface.
Broadening Industry Governance to Include Nonproliferation
Hund, Gretchen; Seward, Amy M.
2008-11-11
As industry is the first line of defense in detecting and thwarting illicit trade networks, the engagement of the private sector is critical to any government effort to strengthen existing mechanisms to protect goods and services throughout the supply chain. This study builds on previous PNNL work to continue to evaluate means for greater industry engagement to complement and strengthen existing governmental efforts to detect and stem the trade of illicit goods and to protect and secure goods that could be used in making a weapon of mass destruction. Specifically, the study evaluates the concept of Industry Self Regulation, defined as a systematic voluntary program undertaken by an industry or by individual companies to anticipate, implement, supplement, or substitute for regulatory requirements in a given field, generally through the adoption of best practices. Through a series of interviews with companies with a past history of non-compliance, trade associations and NGOs, the authors identify gaps in the existing regulatory infrastructure, drivers for a self regulation approach and the form such an approach might take, as well as obstacles to be overcome. The authors conclude that it is at the intersection of industry, government, and security that—through collaborative means—the effectiveness of the international nonproliferation system—can be most effectively strengthened to the mutual benefit of both government and the private sector. Industry has a critical stake in the success of this regime, and has the potential to act as an integrating force that brings together the existing mechanisms of the global nonproliferation regime: export controls, physical protection, and safeguards. The authors conclude that industry compliance is not enough; rather, nonproliferation must become a central tenant of a company’s corporate culture and be viewed as an integral component of corporate social responsibility (CSR).
MOTIVATION INCLUDED OR EXCLUDED FROM Mihaela Cocea
Cocea, Mihaela
MOTIVATION Â INCLUDED OR EXCLUDED FROM E-LEARNING Mihaela Cocea National College of Ireland Mayor, Dublin 1, Ireland sweibelzahl@ncirl.ie ABSTRACT The learners' motivation has an impact on the quality-Learning, motivation has been mainly considered in terms of instructional design. Research in this direction suggests
Energy Consumption of Personal Computing Including Portable
Namboodiri, Vinod
processing unit (CPU) processing power and capacity of mass storage devices doubles every 18 months. Such growth in both processing and storage capabilities fuels the production of ever more powerful portableEnergy Consumption of Personal Computing Including Portable Communication Devices Pavel Somavat1
Course may include: Research in Education
Development Information and Communication Technologies Issues in Education Final Project Seminar Master, the Final Project Seminar. This graduate program will allow you to develop your skills and knowledgeCourse may include: Research in Education Qualitative Methods in Educational Research Fundamentals
Communication in automation, including networking and wireless
Antsaklis, Panos
Communication in automation, including networking and wireless Nicholas Kottenstette and Panos J and networking in automation is given. Digital communication fundamentals are reviewed and networked control are presented. 1 Introduction 1.1 Why communication is necessary in automated systems Automated systems use
Permanent Edinburgh scientists include: Dr. Andrew Curtis
Haszeldine, Stuart
Research, the strongest team in Europe Expertise Seismic Acquisition Processing & Interpretation 4D Time. of Seismic Anisotropy · Prof. John Underhill Prof. of Stratigraphy · Prof. Ian Main Prof. of Rock Physics · Dr. Roger Scrutton Reader of Marine & Applied Geophysics Edinburgh, a Seismic City Your Seismic
The analytic solution for the power series expansion of Heun function
Choun, Yoon Seok, E-mail: ychoun@gmail.com
2013-11-15
The Heun function generalizes all well-known special functions such as Spheroidal Wave, Lame, Mathieu, and hypergeometric {sub 2}F{sub 1}, {sub 1}F{sub 1} and {sub 0}F{sub 1} functions. Heun functions are applicable to diverse areas such as theory of black holes, lattice systems in statistical mechanics, solution of the Schrödinger equation of quantum mechanics, and addition of three quantum spins. In this paper I will apply three term recurrence formula (Y.S. Choun, (arXiv:1303.0806), 2013) to the power series expansion in closed forms of Heun function (infinite series and polynomial) including all higher terms of A{sub n}’s. Section 3 contains my analysis on applying the power series expansions of Heun function to a recent paper (R.S. Maier, Math. Comp. 33 (2007) 811–843). Due to space restriction final equations for the 192 Heun functions are not included in the paper, but feel free to contact me for the final solutions. Section 4 contains two additional examples using the power series expansions of Heun function. This paper is 3rd out of 10 in series “Special functions and three term recurrence formula (3TRF)”. See Section 5 for all the papers in the series. The previous paper in series deals with three term recurrence formula (3TRF). The next paper in the series describes the integral forms of Heun function and its asymptotic behaviors analytically. -- Highlights: •Power series expansion for infinite series of Heun function using 3 term rec. form. •Power series for polynomial which makes B{sub n} term terminated of Heun function. •Applicable to areas such as the Teukolsky equation in Kerr–Newman–de Sitter geometries.
High voltage power supply with modular series resonant inverters
Dreifuerst, G.R.; Merritt, B.T.
1995-07-18
A relatively small and compact high voltage, high current power supply for a laser utilizes a plurality of modules containing series resonant half bridge inverters. A pair of reverse conducting thyristors are incorporated in each series resonant inverter module such that the series resonant inverter modules are sequentially activated in phases 360{degree}/n apart, where n=number of modules for n>2. Selective activation of the modules allows precise output control reducing ripple and improving efficiency. Each series resonant half bridge inverter module includes a transformer which has a cooling manifold for actively circulating a coolant such as water, to cool the transformer core as well as selected circuit elements. Conductors connecting and forming various circuit components comprise hollow, electrically conductive tubes such as copper. Coolant circulates through the tubes to remove heat. The conductive tubes act as electrically conductive lines for connecting various components of the power supply. Where it is desired to make electrical isolation breaks, tubes comprised of insulating material such as nylon are used to provide insulation and continue the fluid circuit. 11 figs.
High voltage power supply with modular series resonant inverters
Dreifuerst, Gary R. (Livermore, CA); Merritt, Bernard T. (Livermore, CA)
1995-01-01
A relatively small and compact high voltage, high current power supply for a laser utilizes a plurality of modules containing series resonant half bridge inverters. A pair of reverse conducting thyristors are incorporated in each series resonant inverter module such that the series resonant inverter modules are sequentially activated in phases 360.degree./n apart, where n=number of modules for n>2. Selective activation of the modules allows precise output control reducing ripple and improving efficiency. Each series resonant half bridge inverter module includes a transformer which has a cooling manifold for actively circulating a coolant such as water, to cool the transformer core as well as selected circuit elements. Conductors connecting and forming various circuit components comprise hollow, electrically conductive tubes such as copper. Coolant circulates through the tubes to remove heat. The conductive tubes act as electrically conductive lines for connecting various components of the power supply. Where it is desired to make electrical isolation breaks, tubes comprised of insulating material such as nylon are used to provide insulation and continue the fluid circuit.
A Yale Forest Forum Series Publication
A Yale Forest Forum Series Publication Volume 6 2003 Number 3 Issue Summary Rural Communities and Forests A summary of a forum and workshop exploring the rural community perspective of managing the forest Land, Chadwick D. Oliver Series Editor Mary L. Tyrrell Rural Communities and Forests A summary
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
Subterranean barriers including at least one weld
Nickelson, Reva A.; Sloan, Paul A.; Richardson, John G.; Walsh, Stephanie; Kostelnik, Kevin M.
2007-01-09
A subterranean barrier and method for forming same are disclosed, the barrier including a plurality of casing strings wherein at least one casing string of the plurality of casing strings may be affixed to at least another adjacent casing string of the plurality of casing strings through at least one weld, at least one adhesive joint, or both. A method and system for nondestructively inspecting a subterranean barrier is disclosed. For instance, a radiographic signal may be emitted from within a casing string toward an adjacent casing string and the radiographic signal may be detected from within the adjacent casing string. A method of repairing a barrier including removing at least a portion of a casing string and welding a repair element within the casing string is disclosed. A method of selectively heating at least one casing string forming at least a portion of a subterranean barrier is disclosed.
Photoactive devices including porphyrinoids with coordinating additives
Forrest, Stephen R; Zimmerman, Jeramy; Yu, Eric K; Thompson, Mark E; Trinh, Cong; Whited, Matthew; Diev, Vlacheslav
2015-05-12
Coordinating additives are included in porphyrinoid-based materials to promote intermolecular organization and improve one or more photoelectric characteristics of the materials. The coordinating additives are selected from fullerene compounds and organic compounds having free electron pairs. Combinations of different coordinating additives can be used to tailor the characteristic properties of such porphyrinoid-based materials, including porphyrin oligomers. Bidentate ligands are one type of coordinating additive that can form coordination bonds with a central metal ion of two different porphyrinoid compounds to promote porphyrinoid alignment and/or pi-stacking. The coordinating additives can shift the absorption spectrum of a photoactive material toward higher wavelengths, increase the external quantum efficiency of the material, or both.
Power generation method including membrane separation
Lokhandwala, Kaaeid A. (Union City, CA)
2000-01-01
A method for generating electric power, such as at, or close to, natural gas fields. The method includes conditioning natural gas containing C.sub.3+ hydrocarbons and/or acid gas by means of a membrane separation step. This step creates a leaner, sweeter, drier gas, which is then used as combustion fuel to run a turbine, which is in turn used for power generation.
Rotor assembly including superconducting magnetic coil
Snitchler, Gregory L. (Shrewsbury, MA); Gamble, Bruce B. (Wellesley, MA); Voccio, John P. (Somerville, MA)
2003-01-01
Superconducting coils and methods of manufacture include a superconductor tape wound concentrically about and disposed along an axis of the coil to define an opening having a dimension which gradually decreases, in the direction along the axis, from a first end to a second end of the coil. Each turn of the superconductor tape has a broad surface maintained substantially parallel to the axis of the coil.
Nuclear reactor shield including magnesium oxide
Rouse, Carl A. (Del Mar, CA); Simnad, Massoud T. (La Jolla, CA)
1981-01-01
An improvement in nuclear reactor shielding of a type used in reactor applications involving significant amounts of fast neutron flux, the reactor shielding including means providing structural support, neutron moderator material, neutron absorber material and other components as described below, wherein at least a portion of the neutron moderator material is magnesium in the form of magnesium oxide either alone or in combination with other moderator materials such as graphite and iron.
UCDscholarcast Series 10 (Spring 2014)
at the time for my dog Prince. Prince got run over by a bus the week before. I in bed but I have Prince's ghost under my side of the bed and I haven would surely love a poem, a poem about Prince. A true Prince, a noble
Series interconnected photovoltaic cells and method for making same
Albright, Scot P. (El Paso, TX); Chamberlin, Rhodes R. (El Paso, TX); Thompson, Roger A. (Littleton, CO)
1995-01-01
A novel photovoltaic module (10) and method for constructing the same are disclosed. The module (10) includes a plurality of photovoltaic cells (12) formed on a substrate (14) and laterally separated by interconnection regions (15). Each cell (12) includes a bottom electrode (16), a photoactive layer (18) and a top electrode layer (20). Adjacent cells (12) are connected in electrical series by way of a conductive-buffer line (22). The buffer line (22) is also useful in protecting the bottom electrode (16) against severing during downstream layer cutting processes.
Thermalization of gluon matter including ggggg interactions
A. El; C. Greiner; Z. Xu
2006-09-27
Within a pQCD inspired kinetic parton cascade we simulate the space time evolution of gluons which are produced initially in a heavy ion collision at RHIC energy. The inelastic gluonic interactions $gg \\leftrightarrow ggg$ do play an important role: For various initial conditions it is found that thermalization and the close to ideal fluid dynamical behaviour sets in at very early times. Special emphasis is put on color glass condensate initial conditions and the `bottom up thermalization' scenario. Off-equilibrium $3\\to 2$ processes make up the very beginning of the evolution leading to an initial decrease in gluon number and a temporary avalanche of the gluon momentum distribution to higher transversal momenta.
Bypass apparatus and method for series connected energy storage devices
Rouillard, Jean (Saint-Luc, CA); Comte, Christophe (Montreal, CA); Daigle, Dominik (St-Hyacinthe, CA)
2000-01-01
A bypass apparatus and method for series connected energy storage devices. Each of the energy storage devices coupled to a common series connection has an associated bypass unit connected thereto in parallel. A current bypass unit includes a sensor which is coupled in parallel with an associated energy storage device or cell and senses an energy parameter indicative of an energy state of the cell, such as cell voltage. A bypass switch is coupled in parallel with the energy storage cell and operable between a non-activated state and an activated state. The bypass switch, when in the non-activated state, is substantially non-conductive with respect to current passing through the energy storage cell and, when in the activated state, provides a bypass current path for passing current to the series connection so as to bypass the associated cell. A controller controls activation of the bypass switch in response to the voltage of the cell deviating from a pre-established voltage setpoint. The controller may be included within the bypass unit or be disposed on a control platform external to the bypass unit. The bypass switch may, when activated, establish a permanent or a temporary bypass current path.
Optical panel system including stackable waveguides
DeSanto, Leonard (Dunkirk, MD); Veligdan, James T. (Manorville, NY)
2007-11-20
An optical panel system including stackable waveguides is provided. The optical panel system displays a projected light image and comprises a plurality of planar optical waveguides in a stacked state. The optical panel system further comprises a support system that aligns and supports the waveguides in the stacked state. In one embodiment, the support system comprises at least one rod, wherein each waveguide contains at least one hole, and wherein each rod is positioned through a corresponding hole in each waveguide. In another embodiment, the support system comprises at least two opposing edge structures having the waveguides positioned therebetween, wherein each opposing edge structure contains a mating surface, wherein opposite edges of each waveguide contain mating surfaces which are complementary to the mating surfaces of the opposing edge structures, and wherein each mating surface of the opposing edge structures engages a corresponding complementary mating surface of the opposite edges of each waveguide.
Thermovoltaic semiconductor device including a plasma filter
Baldasaro, Paul F. (Clifton Park, NY)
1999-01-01
A thermovoltaic energy conversion device and related method for converting thermal energy into an electrical potential. An interference filter is provided on a semiconductor thermovoltaic cell to pre-filter black body radiation. The semiconductor thermovoltaic cell includes a P/N junction supported on a substrate which converts incident thermal energy below the semiconductor junction band gap into electrical potential. The semiconductor substrate is doped to provide a plasma filter which reflects back energy having a wavelength which is above the band gap and which is ineffectively filtered by the interference filter, through the P/N junction to the source of radiation thereby avoiding parasitic absorption of the unusable portion of the thermal radiation energy.
Simple Model of Membrane Proteins Including Solvent
D. L. Pagan; A. Shiryayev; T. P. Connor; J. D. Gunton
2006-03-04
We report a numerical simulation for the phase diagram of a simple two dimensional model, similar to one proposed by Noro and Frenkel [J. Chem. Phys. \\textbf{114}, 2477 (2001)] for membrane proteins, but one that includes the role of the solvent. We first use Gibbs ensemble Monte Caro simulations to determine the phase behavior of particles interacting via a square-well potential in two dimensions for various values of the interaction range. A phenomenological model for the solute-solvent interactions is then studied to understand how the fluid-fluid coexistence curve is modified by solute-solvent interactions. It is shown that such a model can yield systems with liquid-liquid phase separation curves that have both upper and lower critical points, as well as closed loop phase diagrams, as is the case with the corresponding three dimensional model.
THE AUSTRALIAN NATIONAL MONOGRAPHS IN SERIES/
THE AUSTRALIAN NATIONAL UNIVERSITY Library MONOGRAPHS IN SERIES/ INDIVIDUAL MONOGRAPHS REC'D ON S12345678 Common call number THE AUSTRALIAN NATIONAL UNIVERSITY Library CML instruction Take in print
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
Summer Series 2012 - Conversation with Omar Yaghi
Omar Yaghi
2013-06-24
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.
Summer Series 2012 - Conversation with Kathy Yelick
Kathy Yelick
2012-07-23
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.
SFI Speaker Series Jonah Levine Energy
SFI Speaker Series April 8 Jonah Levine Energy Storage Researcher , UC Boulder the Grid Biofuel Center Boeing Grant 1 Dairy Life Cycle 2 SFI Member News 3 Green Campus 4
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 ...
LEADERS IN SCIENCE AND TECHNOLOGY SEMINAR SERIES
Tech has a long tradition of creating new knowledge and applying LEADERS IN SCIENCE AND TECHNOLOGY SEMINAR SERIES About Virginia Tech - National Capital Region The National Capital Region of Virginia Tech is dedicated
CLEAN Webinar Series 2 | Open Energy Information
JPG Triangle Right.JPG Webinar3.JPG Webinar4.JPG Webinar5.JPG Ret rieved from "http:en.openei.orgwindex.php?titleCLEANWebinarSeries2&oldid67800...
CLEAN Webinar Series 4 | Open Energy Information
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CLEAN Webinar Series 1 | Open Energy Information
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CLEAN Webinar Series 3 | Open Energy Information
JPG Webinar3.JPG Triangle Right.JPG Webinar4.JPG Webinar5.JPG Ret rieved from "http:en.openei.orgwindex.php?titleCLEANWebinarSeries3&oldid678001...
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
Summer Series 2012 - Conversation with Kathy Yelick
Yelick, Kathy
2013-06-24
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.
SHORT ROTATION WOODY CROPS FACTSHEET SERIES # 5
Minnesota, University of
SHORT ROTATION WOODY CROPS FACTSHEET SERIES # 5 Sustainability of SRWC for Energy1 WHAT of the SRWC systems and the relatively narrow genetic base in Salix, Populus or Eucalyptus SRWC may promote
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...
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
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
Engine lubrication circuit including two pumps
Lane, William H.
2006-10-03
A lubrication pump coupled to the engine is sized such that the it can supply the engine with a predetermined flow volume as soon as the engine reaches a peak torque engine speed. In engines that operate predominately at speeds above the peak torque engine speed, the lubrication pump is often producing lubrication fluid in excess of the predetermined flow volume that is bypassed back to a lubrication fluid source. This arguably results in wasted power. In order to more efficiently lubricate an engine, a lubrication circuit includes a lubrication pump and a variable delivery pump. The lubrication pump is operably coupled to the engine, and the variable delivery pump is in communication with a pump output controller that is operable to vary a lubrication fluid output from the variable delivery pump as a function of at least one of engine speed and lubrication flow volume or system pressure. Thus, the lubrication pump can be sized to produce the predetermined flow volume at a speed range at which the engine predominately operates while the variable delivery pump can supplement lubrication fluid delivery from the lubrication pump at engine speeds below the predominant engine speed range.
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
Sloan Digital Sky Survey II (SDSS-II), Data Release 7, including the Legacy Survey
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
The Sloan Digital Sky Survey (SDSS) is a series of three interlocking imaging and spectroscopic surveys, carried out over an eight-year period with a dedicated 2.5m telescope located at Apache Point Observatory in Southern New Mexico. The seventh data release (DR7) from the SDSS represents a completion of the overall, original project, though SDSS-III began in 2008 and will build upon the knowledge gained already. The SDSS Legacy Survey provided a uniform, well-calibrated map of more than 7,500 square degrees of the North Galactic Cap, and three stripes in the South Galactic Cap totaling 740 square degrees. The central stripe in the South Galactic Gap, Stripe 82, was scanned multiple times to enable a deep co-addition of the data and to enable discovery of variable objects. Legacy data supported studies ranging from asteroids and nearby stars to the large-scale structure of the universe. All of the imaging data have been processed to yield calibrated astrometric and photometric parameters and classifications. These parameters are available in one or more tables in a database accessible via the Catalog Archive Server (CAS) at http://cas.sdss.org/astro. [taken and edited from the Legacy page at http://www.sdss.org/legacy/index.html] All three surveys summarized are: 1) Legacy: an imaging survey in five bands over a contiguous 7646 deg2 high-latitude elliptical region in the Northern Galactic Cap, plus an additional 750 deg2 in the Southern Galactic Cap, together with spectroscopy of complete samples of galaxies and quasars covering about 8200 square degrees. The total imaging area in the Legacy survey is 8423 square degrees; 2) SEGUE: (Sloan Extension for Galactic Understanding and Exploration): additional imaging of 3240 deg2 of sky at lower Galactic latitudes, together with spectroscopy of 240,000 stars towards 200 sight lines covering 1400 square degrees (spread throughout the Legacy and SEGUE imaging footprints), to study the structure of the Milky Way; 3) Supernova: the equivalent of about 80 repeated imaging scans of the Southern Equatorial Stripe (ra > 310 or ra < 59; -1.25 > dec < 1.25) obtained in variable weather conditions (some clouds) to search for supernovae in the redshift range 0.1 < z < 0.4. The catalog derived from the images includes more than 350 million celestial objects, and spectra of 930,000 galaxies, 120,000 quasars, and 460,000 stars. The data are fully calibrated and reduced, carefully checked for quality, and publicly accessible through efficient databases. The data have been publicly released in a series of annual data releases, culminating in the final data release, DR7.
SQUARE SUMMABLE POWER SERIES Louis de Branges Preface ...
1911-01-10
The space C(z) of square summable power series is the set of power series ...... model of the linear system is constructed in a Hilbert space of power series with ...
Gering, Kevin L.; Harrup, Mason K.; Rollins, Harry W.
2015-12-08
An ionic liquid including a phosphazene compound that has a plurality of phosphorus-nitrogen units and at least one pendant group bonded to each phosphorus atom of the plurality of phosphorus-nitrogen units. One pendant group of the at least one pendant group comprises a positively charged pendant group. Additional embodiments of ionic liquids are disclosed, as are electrolyte solutions and energy storage devices including the embodiments of the ionic liquid.
Baltazar, J. C.; Claridge, D. E.
2002-01-01
The paper presents seventeen approaches that use cubic splines and Fourier series for restoring short term missing data in time series of building energy use and weather data. The study is based on twenty samples of hourly data, each at least one...
Baltazar-Cervantes, J. C.; Claridge, D. E.
2002-01-01
This paper presents seventeen approaches that use cubic splines and Fourier series for restoring short term missing data in time series of building energy use and weather data. The study is based on twenty samples of hourly data, each at least one...
Federal Energy Management Program Launches New Training Series
Office of Energy Efficiency and Renewable Energy (EERE)
With a footprint that includes 350,000 buildings, 600,000 fleet vehicles, and $445 billion spent annually on goods and services, the federal government’s actions to reduce pollution, support renewable energy and operate more efficiently can make a significant impact on national emissions. That's part of the overall goal of a new certificate training series from the Energy Department's Federal Energy Management Program (FEMP) being launched to help with education, workforce development and cut energy use in the public and private sectors.
Bibliography of the Scripps Institution of Oceanography Reference Series 2002
Lett, Phyllis C.
2003-01-01
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.
1998-01-01
SCRIPPS INSTITUTION OF OCEANOGRAPHY REFERENCE SERIES 97-01Scripps Institution of Oceanography Reference Series 1997.held at Scripps Institution of Oceanography 19 August 1997.
Tribal Renewable Energy Webinar Series | Department of Energy
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
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...
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...
Building America Best Practices Series Vol. 14: Energy Renovations...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Building America Best Practices Series Vol. 14: Energy Renovations - HVAC: A Guide for Contractors to Share with Homeowners Building America Best Practices Series Vol. 14: Energy...
DOE's 2015 Tribal Renewable Energy Webinar Series to Kick Off...
Broader source: Energy.gov (indexed) [DOE]
Area Power Administration, will continue its sponsorship of the Tribal Renewable Energy Webinar Series in 2015. The series is part of DOE's coordinated efforts to provide...
Hansen, James E.
, appliance and building efficiencies, smart electric grid, utility profit motives, etc.) are needed with Washington's revolving doors). This is not rocket science. If we want to move toward energy independence
Space Radiation and Cataracts (LBNL Summer Lecture Series)
Blakely, Eleanor
2011-04-28
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
Robertson, William
Introduction to Logarithmic Scales The purpose of this series of web pages is to introduce you to measure loudness. There are four web documents (including this one) that cover the necessary topics
Conversion of geothermal waste to commercial products including silica
Premuzic, Eugene T. (East Moriches, NY); Lin, Mow S. (Rocky Point, NY)
2003-01-01
A process for the treatment of geothermal residue includes contacting the pigmented amorphous silica-containing component with a depigmenting reagent one or more times to depigment the silica and produce a mixture containing depigmented amorphous silica and depigmenting reagent containing pigment material; separating the depigmented amorphous silica and from the depigmenting reagent to yield depigmented amorphous silica. Before or after the depigmenting contacting, the geothermal residue or depigmented silica can be treated with a metal solubilizing agent to produce another mixture containing pigmented or unpigmented amorphous silica-containing component and a solubilized metal-containing component; separating these components from each other to produce an amorphous silica product substantially devoid of metals and at least partially devoid of pigment. The amorphous silica product can be neutralized and thereafter dried at a temperature from about 25.degree. C. to 300.degree. C. The morphology of the silica product can be varied through the process conditions including sequence contacting steps, pH of depigmenting reagent, neutralization and drying conditions to tailor the amorphous silica for commercial use in products including filler for paint, paper, rubber and polymers, and chromatographic material.
Biomass thermal conversion research at SERI
Milne, T. A.; Desrosiers, R. E.; Reed, T. B.
1980-09-01
SERI's involvement in the thermochemical conversion of biomass to fuels and chemicals is reviewed. The scope and activities of the Biomass Thermal Conversion and Exploratory Branch are reviewed. The current status and future plans for three tasks are presented: (1) Pyrolysis Mechanisms; (2) High Pressure O/sub 2/ Gasifier; and (3) Gasification Test Facility.
Harmonic oscillator: an analysis via Fourier series
A. S. de Castro
2013-09-30
The Fourier series method is used to solve the homogeneous equation governing the motion of the harmonic oscillator. It is shown that the general solution to the problem can be found in a surprisingly simple way for the case of the simple harmonic oscillator. It is also shown that the damped harmonic oscillator is susceptible to the analysis.
Frontiers in Global Change Seminar Series
Frontiers in Global Change Seminar Series Short-lived Climate Pollutants: A Second Front in Climate, is not sufficient to ward off this near-term risk. Mitigation of four short-term climate warming pollutants has the Climate and Clean Air Coalition. The seminar will describe the recent scientific developments that led
SERIES Workshop, stanbul Rapid Seismic Assessment
SERIES Workshop, stanbul Rapid Seismic Assessment fProcedures for Turkish Building StockStock A initiated by Disaster and Emergency Management Presidency (AFAD)(AFAD) To develop standard rapid assessment to their safety ( i k)(risk) B ildi i i t d f th t tBuilding is inspected from the street: Number of stories Plan
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
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
Frontiers in Global Change Seminar Series
's research group. The seminar will present the development of our U.S. monitoring and forecasting systemFrontiers in Global Change Seminar Series Towards a global drought monitoring, forecasting, activities under the Group of Earth Observations (GEO) and the World Climate Research Programme have
Frontiers in Chemical Imaging Seminar Series
Frontiers in Chemical Imaging Seminar Series Presented by Anthony (Tony) van Buuren Ph.D. Nanoscale National Laboratory Abstract Securing this nation's energy future will require the development of new research on nanoporous materials is driven by their use in targets for high energy physics experiments
Frontiers in Chemical Imaging Seminar Series
Frontiers in Chemical Imaging Seminar Series S cience and Technology of Multifunctional Oxide Materials Science Division, Argonne National Laboratory Abstract New paradigms in the research and development of novel multifunctional oxide and nanocarbon thin films are providing the bases for new physics
Frontiers in Chemical Imaging Seminar Series
and the Materials Research Society. His research interests focus on the development of Z-contrast scanningFrontiers in Chemical Imaging Seminar Series Presented by Dr. Stephen J Pennycook, Ph.D. Materials and Adjoint Professor in the Dept. of Physics and Astronomy, Vanderbilt University. For the development
Frontiers in Chemical Imaging Seminar Series
Frontiers in Chemical Imaging Seminar Series X-ray Imaging at the Nanoscale Presented by Ian Mc-ray microscopy has blossomed into a popular and rich methodology, opening the door to new research-ray microscopy beamline at APS in 1997. Ian subsequently oversaw the development of the APS Sector 2 beamlines
Frontiers in Chemical Imaging Seminar Series
Frontiers in Chemical Imaging Seminar Series Advancing Methods for Labeling, Staining, Imaging of Neurosciences University of California, San Diego Abstract A grand goal in neuroscience research will highlight development and application of new contrasting methods and imaging tools that have allowed us
Frontiers in Chemical Imaging Seminar Series
Frontiers in Chemical Imaging Seminar Series Presented by Kannan M. Krishnan, Ph.D. Departments of Materials Science and Physics University of Washington Abstract There has been a renaissance in magnetism. Central to this work are innovations in chemical synthesis of nanoparticles, their size-dependent magnetic
Working Papers Series Paper 1 November 2009
1 ITC Working Papers Series Paper 1 November 2009 Reporting on flood risk perception. Academic standards apply for citing and referencing source. #12;2 Reporting on flood risk perception's in bedijkte termen) and MVW (2005) with the report "Flood Risks and Safety in the Netherlands" (Veiligheid
ENERGY SERIES "Emerging High Power Conversion Technologies"
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, storage or use. This is where power electronics come into a play, as key enabling technology for flexible
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
Getting Started Guide ESA Series Spectrum Analyzers
Anlage, Steven
Getting Started Guide ESA Series Spectrum Analyzers This manual provides documentation yourself with the symbols and their meaning before operating this analyzer. WARNING Warning denotes, if not correctly performed or adhered to, could result in damage to or destruction of the analyzer. Do not proceed
Other Reports In This Series September, 1990
Martin, Alain
Other Reports In This Series September, 1990 d i g i t a l Western Research Laboratory 100 Hamilton Avenue Palo Alto, California 94301 USA #12; 1 WRL Research Reports ``Titan System Manual.'' ``Multi WRL Research Report 86/1, September 1986. ael J. K. Nielsen. WRL Research Report 87/8, April 1988
Physics Meets Biology (LBNL Summer Lecture Series)
Chu, Steve [Director, LBNL
2011-04-28
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.
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
Environmental Research Group 2015 Spring Seminar Series
:00 Estimating the Environmental Impacts of New Technologies Using Agent-Based Modeling Shelie Miller CenterEnvironmental Research Group 2015 Spring Seminar Series April 17, 2015 Gregg 320, 12:00 1 changes to a design will have the greatest influence on environmental performance at this crucial stage
Elsevier Oceanography Series, 52 GLOBAL ECOLOGICAL
Duffy, David Cameron
Elsevier Oceanography Series, 52 GLOBAL ECOLOGICAL CONSEQUENCES OF THE 1982-83 EL NINO 30602 ABSTRACT Duffy, D.C., 1989. Seabirds and the 1982-1984 El Nino-Southern Oscillation The 1982-1984 El Nino and associated events affected seabirds in the Pacific and Atlantic oceans. Effects ranged
JANUARY 2015 WSU/DSO SPEAKER SERIES
Berdichevsky, Victor
, music critic of the Detroit Free Press Friday, 11:45 a.m. at SMRH Kawai is the official piano Auditorium 5351 Cass Avenue Detroit, 48202 Max M. Fisher Music Center 3711 Woodward Avenue Detroit, 48201 SERIES THE MUSIC DIRECTOR'S VISION FOR DETROIT Leonard Slatkin, music director Friday, 11:45 a.m. at SMRH
UNIVERSITY OF CALIFORNIA, IRVINE CECS Seminar Series
Demsky, Brian
, in particular ESL power estimation, embedded multicore SW development, fast virtual platforms, and applicationUNIVERSITY OF CALIFORNIA, IRVINE CECS Seminar Series Presents Design Technologies for Embedded the complexity of multi-billion transistor IC designs with dozens of heterogeneous processing engines, advanced
Civil & Environmental Engineering Distinguished Seminar Series
life. Mild wind may provide us useful electric energy in addition to positive effects on urban will be discussed in this talk. Moreover a methodology of using small wind turbines for dual purposes, improvingCivil & Environmental Engineering Distinguished Seminar Series Soon-Duck Kwon, Ph. D. KOCED Wind
Geography & Regional Development Speaker Series Spring 2008
Wright, Dawn Jeannine
Geography & Regional Development Speaker Series Spring 2008 January 18th - Leila Harris (University', and geographies of environmental politics January 25th - Jenny Lee (University of Arizona) Departmental climate and student experiences in graduate geography programs February 1st - Deborah Thien (California State - Long
Reduction in maximum time uncertainty of paired time signals
Theodosiou, G.E.; Dawson, J.W.
1981-02-11
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.
Vasconcelos, Wolmer
Main Goal Properties of Infinite Series Workshop #10 Uniform Convergence and Differentiability Vasconcelos Set 6 Advanced Calculus #12;Main Goal Properties of Infinite Series Workshop #10 Uniform Convergence and Differentiability Series of Functions P Outline 1 Main Goal 2 Properties of Infinite Series 3
Slastikov, Valeriy V.
independent solutions. The same command produces series with logarithmic singularitiesComputer Lab 4. Power series methods. Maple's dsolve command can be invoked with an option called series, which finds power series about x = 0 of solutions of differential equations. For example, if you
Summer Series 2012 - Conversation with Omar Yaghi (LBNL Summer Lecture Series)
Yaghi, Omar
2012-07-11
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.
Copper laser modulator driving assembly including a magnetic compression laser
Cook, Edward G. (Livermore, CA); Birx, Daniel L. (Oakley, CA); Ball, Don G. (Livermore, CA)
1994-01-01
A laser modulator (10) having a low voltage assembly (12) with a plurality of low voltage modules (14) with first stage magnetic compression circuits (20) and magnetic assist inductors (28) with a common core (91), such that timing of the first stage magnetic switches (30b) is thereby synchronized. A bipolar second stage of magnetic compression (42) is coupled to the low voltage modules (14) through a bipolar pulse transformer (36) and a third stage of magnetic compression (44) is directly coupled to the second stage of magnetic compression (42). The low voltage assembly (12) includes pressurized boxes (117) for improving voltage standoff between the primary winding assemblies (34) and secondary winding (40) contained therein.
Uniqueness for spherically convergent multiple trigonometric series
Ash, J. Marshall
) = T into the complex numbers can be represented in the form S(x) = a0 2 + n=1 an cos nx + bn sin nx. (1) Fourier sense if its partial sums sN (x) = a0 2 + N n=1 an cos nx + bn sin nx tend to f (x) in L2 , that is and suppose that another series S (x) = a0 2 + n=1 an cos nx + bn sin nx also converges at every x to f (x
NUTC Seminar Series "Making Sense of the Future Market for Electrified Powertrains
Bustamante, Fabián E.
Efficiency and Renewable Energy. His work includes advanced vehicle and energy efficiency market analysisNUTC Seminar Series "Making Sense of the Future Market for Electrified Powertrains in the United States with Vehicle Choice Models" Vehicle Choice Modeling Efforts at the U.S. Department of Energy U
Ris Energy Report 7 This Ris Energy Report, the seventh of a series that began
#12;#12;#12;#12;#12;3 1 Risø Energy Report 7 This Risø Energy Report, the seventh of a series. This report presents state-of-the-art and development per- spectives for energy supply technologies, new energy sys- tems, end-use energy efficiency improvements and new pol- icy measures. It also includes
NBER WORKING PAPER SERIES HOUSEHOLD RESPONSE TO THE 2008 TAX REBATE
Cafarella, Michael J.
NBER WORKING PAPER SERIES HOUSEHOLD RESPONSE TO THE 2008 TAX REBATE: SURVEY EVIDENCE AND AGGREGATE, including © notice, is given to the source. #12;Household Response to the 2008 Tax Rebate: Survey Evidence/University of Michigan survey report that the 2008 tax rebates led them to mostly increase spending, while over half said
NBER WORKING PAPER SERIES PATENT COLLATERAL, INVESTOR COMMITMENT, AND THE MARKET FOR
Sekhon, Jasjeet S.
NBER WORKING PAPER SERIES PATENT COLLATERAL, INVESTOR COMMITMENT, AND THE MARKET FOR VENTURE Corp for data on patent transactions, and Andre Boik, Jing Li, Karina Mann, Junguang Pan, Anastasia that full credit, including © notice, is given to the source. #12;Patent Collateral, Investor Commitment
IBM STUDENT SEMINAR SERIES 9/22, Telemak Kamparosyan, Competitive Sales
Scharff, Christelle
IBM STUDENT SEMINAR SERIES 9/22, Telemak Kamparosyan, Competitive Sales Specialist Techies Can Also IT Specialist, Data Management The Basics of Database 10/20, Mary Peterson Yost, IBM Autonomic Computing Autonomic Computing 10/27, Megan Daniels, Worldwide IBM Software Live IBM Software Demonstrations including
SYMBOLS FOR TIME = time variable
Duchowski, Andrew T.
=forever) Cost spent to build variation point i at time i = index over variation points #12;SYMBOLS FOR TIME to account for net present value of money r = assumed interest rate i = index over variation points Cost Expected cost summed over all relevant time intervals Cost spent to build variation point i at time r
Data series subtraction with unknown and unmodeled background noise
Stefano Vitale; Giuseppe Congedo; Rita Dolesi; Valerio Ferroni; Mauro Hueller; Daniele Vetrugno; William Joseph Weber; Heather Audley; Karsten Danzmann; Ingo Diepholz; Martin Hewitson; Natalia Korsakova; Luigi Ferraioli; Ferran Gibert; Nikolaos Karnesis; Miquel Nofrarias; Henri Inchauspe; Eric Plagnol; Oliver Jennrich; Paul W. McNamara; Michele Armano; James Ira Thorpe; Peter Wass
2014-08-04
LISA Pathfinder (LPF), ESA's precursor mission to a gravitational wave observatory, will measure the degree to which two test-masses can be put into free-fall, aiming to demonstrate a residual relative acceleration with a power spectral density (PSD) below 30 fm/s$^2$/Hz$^{1/2}$ around 1 mHz. In LPF data analysis, the measured relative acceleration data series must be fit to other various measured time series data. This fitting is required in different experiments, from system identification of the test mass and satellite dynamics to the subtraction of noise contributions from measured known disturbances. In all cases, the background noise, described by the PSD of the fit residuals, is expected to be coloured, requiring that we perform such fits in the frequency domain. This PSD is unknown {\\it a priori}, and a high accuracy estimate of this residual acceleration noise is an essential output of our analysis. In this paper we present a fitting method based on Bayesian parameter estimation with an unknown frequency-dependent background noise. The method uses noise marginalisation in connection with averaged Welch's periodograms to achieve unbiased parameter estimation, together with a consistent, non-parametric estimate of the residual PSD. Additionally, we find that the method is equivalent to some implementations of iteratively re-weighted least-squares fitting. We have tested the method both on simulated data of known PSD, and to analyze differential acceleration from several experiments with the LISA Pathfinder end-to-end mission simulator.
SERIE ETUDES ET DOCUMENTS DU CERDI SOCIAL PROTECTION FOR POVERTY REDUCTION IN
Boyer, Edmond
SERIE ETUDES ET DOCUMENTS DU CERDI SOCIAL PROTECTION FOR POVERTY REDUCTION IN TIMES OF CRISIS Kossi on social spending compiled thus far, and the unique cross-country database on poverty to explore the poverty-reducing role of social protection during financial crises. Using advan- ced panel data techniques
Thermoacoustic instability - a dynamical system and time domain analysis
Sayadi, Taraneh; Schmid, Peter; Richecoeur, Franck; Massot, Marc
2013-01-01
This study focuses on the Rijke tube problem, which includes features relevant to the modeling of thermoacoustic coupling in reactive flows: a compact acoustic source, an empirical model for the heat source, and nonlinearities. This system features both linear and nonlinear flow regimes with complex dynamical behavior. In order to synthesize accurate time-series, we tackle this problem from a numerical point-of-view, and start by proposing a dedicated solver designed for dealing with the underlying stiffness, in particular, the retarded time and the discontinuity at the location of the heat source. Stability analysis is performed on the limit of the low amplitude perturbations by means of the projection method proposed by Jarlebring (2008), which alleviates the linearization of the retarded term. The results are then compared to the analytical solution of the undamped system, in addition to the analysis based on Galerkin projection. The method provides insight into the consequence of the simplification due to...
Burra G. Sidharth
2008-09-03
We briefly review two concepts of time - the usual time associated with "being" and more recent ideas, answering to the description of "becoming". The approximation involved in the former is examined. Finally we argue that it is (unpredictable) fluctuations that underlie time.
Construction and Deconstruction of Single Instanton Hilbert Series
Hanany, Amihay
2015-01-01
Many methods exist for the construction of the Hilbert series describing the moduli spaces of instantons. We explore some of the underlying group theoretic relationships between these various constructions, including those based on the Coulomb branches and Higgs branches of SUSY quiver gauge theories, as well as those based on generating functions derivable from the Weyl Character Formula. We show how the character description of the reduced single instanton moduli space of any Classical or Exceptional group can be deconstructed faithfully in terms of characters or modified Hall-Littlewood polynomials of its regular semi-simple subgroups. We derive and utilise Highest Weight Generating functions, both for the characters of Classical or Exceptional groups and for the Hall-Littlewood polynomials of unitary groups. We illustrate how the root space data encoded in extended Dynkin diagrams corresponds to relationships between the Coulomb branches of quiver gauge theories for instanton moduli spaces and those for T...
Nuclear Arms Control R&D Consortium includes Los Alamos
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Nuclear Arms Control R&D Consortium includes Los Alamos Nuclear Arms Control R&D Consortium includes Los Alamos A consortium led by the University of Michigan that includes LANL as...
A Fast and Accurate Universal Kepler Solver with Stumpff Series
Wisdom, Jack
2015-01-01
We derive and present a fast and accurate solution of the initial value problem for Keplerian motion in universal variables that does not use the Stumpff series. We find that it performs better than methods based on the Stumpff series.
Spectral Analysis of Spatial Series + W.R. Tobler*
Tobler, Waldo
series. There are many examples: stock market prices, weather records, population of a city over a number, if there are such interpretations, why has this method of analysis not already been applied to spatial series? Taking the first
2009 Spring Tuesday Seminar Series Sponsored by UPGG and IGSP
Richardson, David
2009 Spring Tuesday Seminar Series Sponsored by UPGG and IGSP 12:30pm Room 147 Nanaline Duke 01: Ashley Chi) #12;2009 Spring Tuesday Seminar Series (cont.) Sponsored by UPGG and IGSP 12:30pm Room 147
Wind Energy 101 Webinar Series Part 5: Project Development and...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Energy 101 Webinar Series Part 5: Project Development and Siting Wind Energy 101 Webinar Series Part 5: Project Development and Siting August 6, 2015 2:00PM to 3:00PM EDT During...
Newport News in Review, ch. 47, segment includes TEDF groundbreaking...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
https:www.jlab.orgnewsarticlesnewport-news-review-ch-47-segment-includes-tedf-groundbreaking-event Newport News in Review, ch. 47, segment includes TEDF groundbreaking event...
Solar Energy Education. Reader, Part II. Sun story. [Includes...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Part II. Sun story. Includes glossary Citation Details In-Document Search Title: Solar Energy Education. Reader, Part II. Sun story. Includes glossary You are...
Microfluidic devices and methods including porous polymer monoliths...
Office of Scientific and Technical Information (OSTI)
devices and methods including porous polymer monoliths Citation Details In-Document Search Title: Microfluidic devices and methods including porous polymer monoliths Microfluidic...
Taylor Series as Wide-sense Biorthogonal Wavelet Decomposition
H. M. de Oliveira; R. D. Lins
2015-02-05
Pointwise-supported generalized wavelets are introduced, based on Dirac, doublet and further derivatives of delta. A generalized biorthogonal analysis leads to standard Taylor series and new Dual-Taylor series that may be interpreted as Laurent Schwartz distributions. A Parseval-like identity is also derived for Taylor series, showing that Taylor series support an energy theorem. New representations for signals called derivagrams are introduced, which are similar to spectrograms. This approach corroborates the impact of wavelets in modern signal analysis.
FEMP Offers New Training Series on Renewable Energy Technologies...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
the grid. By completing the series, participants will learn to: Understand geographicclimate considerations, renewable energy technology capabilities and constraints, and...
Guenther, R.J.; Barner, J.O.; Welty, R.K.
1980-03-01
The fabrication process and as-built characteristics of the HBWR Series H-2 and H-3 test rods, as well as the three packed-particle (sphere-pac) rods in HBWR Series H-4 are described. The HBWR Series H-2, H-3, and H-4 tests are part of the irradiation test program of the Fuel Performance Improvement Program. Fifteen rods were fabricated for the three test series. Rod designs include: (1) a reference dished pellet design incorporating chamfered edges, (2) a chamfered, annular pellet design combined with graphite-coated cladding, and (3) a sphere-pac design. Both the annular-coated and sphere-pac designs include internal pressurization using helium.
Balmer-Like Series for Baryon Resonances
Losanow-Kirchbach, M
1998-01-01
The pole positions of various baryon resonances have been found to reveal a well pronounced clustering, the so-called H"ohler cluster. In a previous work, the H"ohler clusters have been shown to be identical to Lorentz multiplets of the type (1/2+l', 1/2+l')*[(1/2,0)+(0,1/2)] with l' integer. Here we show that the cluster positions are well described by means of a Balmer-series like recursive mass formula.
Fermilab | Physics for Everyone | Lecture Series
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFES OctoberEvan Racah861MayArt SeriesMore fundamental particles
The Harmonic Series Diverges Again and Again Steven J. Kifowit
California at Santa Cruz, University of
The Harmonic Series Diverges Again and Again Steven J. Kifowit Prairie State College Terra A. Stamps Prairie State College The harmonic series, n=1 1 n = 1 + 1 2 + 1 3 + 1 4 + 1 5 + Â· Â· Â· , is one, the harmonic series provides the instructor with a wealth of opportunities. The leaning tower of lire (Johnson
Series Input Modular Architecture for Driving Multiple LEDs
regulation is provided using a prototype of the proposed system with four series buck- boost converter cells, zane}@colorado.edu Abstract This paper introduces a modular power converter architecture based on series input connected converter cells with independent outputs that each drive a small series string
PCI E Series Register-Level Programmer Manual
Oh, Paul
DAQ PCI E Series Register-Level Programmer Manual Multifunction I/O Boards for PCI Bus Computers PCI E Series RLPM November 1998 Edition Part Number 341079B-01 #12;Internet Support E-mail: support;Important Information Warranty The PCI E Series boards are warranted against defects in materials
Abreu, Gabriel
2010-01-01
In a general time-dependent (3+1)-dimensional spherically symmetric spacetime, the so-called Kodama vector is a naturally defined geometric quantity that is timelike outside the evolving horizon and so defines a preferred class of fiducial observers. However the Kodama vector does not by itself define any preferred notion of time. We demonstrate that a preferred time coordinate - which we shall call Kodama time - can be introduced by taking the additional step of applying the Clebsch decomposition theorem to the Kodama vector. We thus construct a geometrically preferred coordinate system for any time-dependent spherically symmetric spacetime, and explore its properties. In particular we use this formalism to construct a general class of conservation laws, generalizing Kodama's energy flux. We study the geometrically preferred fiducial observers, and demonstrate that it is possible to define and calculate a generalized notion of surface gravity that is valid throughout the entire evolving spacetime. Furthermor...
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
SC-RISE LECTURE SERIES BRIGHT HORIZONS IN SOLAR ENERGY
are being developed including biomass, geothermal, hydropower, ocean thermal energy conversion, solar in technology development. The high capital costs typical of sustainable technologies coupled with the cyclic Time: 3:00 PM Location: A265 Bourns Hall Abstract: Low cost energy is critical to our lifestyles
Publication Series of the John von Neumann Institute for Computing (NIC) NIC Series Volume 8
Marro, Joaquín
Physical Society (EPS), and the Di- vision of Computational Physics of the American Physical Society (APS Conference on Computational Physics 2001 5 - 8 September 2001, Aachen, Germany Book of Abstracts organized Series Volume 8 ISBN 3-00-008236-0 #12;Preface Computational Physics is today well
Kotlin, J.J.; Dunteman, N.R.; Scott, D.I.; Williams, H.A. Jr.
1983-01-01
The current Electro-Motive Division 645 Series turbocharged engines are the Model FB and EC. The FB engine combines the highest thermal efficiency with the highest specific output of any EMD engine to date. The FB Series incorporates 16:1 compression ratio with a fire ring piston and an improved turbocharger design. Engine components included in the FB engine provide very high output levels with exceptional reliability. This paper also describes the performance of the lower rated Model EC engine series which feature high thermal efficiency and utilize many engine components well proven in service and basic to the Model FB Series.
2013-2014Series Health Sciences
Hayes, Jane E.
allied health disciplines including, but not limited to: radiological technology, respiratory therapy also benefit their employers, health care facility, and patients. For additional information, go to
Transportation Energy Futures Series: Projected Biomass Utilization...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
of agricultural products. Goals for biopower policies include displacement of coal for environmental concerns and GHG reduction. In the past two decades, the U.S. Department of...
[Article 1 of 7: Motivates and Includes the Consumer]
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifies largestnamedGroup! ! NUG 2014! FebruaryTeam4Series
Title IX & Discrimination Complaint Form (including sexual harassment)
Walker, Lawrence R.
Title IX & Discrimination Complaint Form (including sexual harassment) Office of Diversity. Although the university cannot commit to keeping a complaint of discrimination confidential the process for filing or investigating complaints of discrimination (including sexual harassment). Note
Explosion at Louisa (including Morrison Old) Colliery, Durham
Yates, R.
MINISTRY OF FUEL AND POWER - EXPLOSION AT LOUISA (including MORRISON OLD) COLLIERY, DURHAM REPORT On the Causes of, and Circumstances attending, the Explosion which occurred at Louisa (including Morrison Old) Colliery, ...
Optimization of a CNG series hybrid concept vehicle
Aceves, S.M.; Smith, J.R.; Perkins, L.J.; Haney, S.W.; Flowers, D.L.
1995-09-22
Compressed Natural Gas (CNG) has favorable characteristics as a vehicular fuel, in terms of fuel economy as well as emissions. Using CNG as a fuel in a series hybrid vehicle has the potential of resulting in very high fuel economy (between 26 and 30 km/liter, 60 to 70 mpg) and very low emissions (substantially lower than Federal Tier II or CARB ULEV). This paper uses a vehicle evaluation code and an optimizer to find a set of vehicle parameters that result in optimum vehicle fuel economy. The vehicle evaluation code used in this analysis estimates vehicle power performance, including engine efficiency and power, generator efficiency, energy storage device efficiency and state-of-charge, and motor and transmission efficiencies. Eight vehicle parameters are selected as free variables for the optimization. The optimum vehicle must also meet two perfect requirements: accelerate to 97 km/h in less than 10 s, and climb an infinitely long hill with a 6% slope at 97 km/h with a 272 kg (600 lb.) payload. The optimizer used in this work was originally developed in the magnetic fusion energy program, and has been used to optimize complex systems, such as magnetic and inertial fusion devices, neutron sources, and mil guns. The optimizer consists of two parts: an optimization package for minimizing non-linear functions of many variables subject to several non-linear equality and/or inequality constraints and a programmable shell that allows interactive configuration and execution of the optimizer. The results of the analysis indicate that the CNG series hybrid vehicle has a high efficiency and low emissions. These results emphasize the advantages of CNG as a near-term alternative fuel for vehicles.
Giovannetti, Vittorio
We give a consistent quantum description of time, based on Page and Wootters’s conditional probabilities mechanism, which overcomes the criticisms that were raised against similar previous proposals. In particular we show ...
Unknown
2011-09-05
-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...
HOW MIGHT INDUSTRY GOVERNANCE BE BROADENED TO INCLUDE NONPROLIFERATION
Hund, Gretchen; Seward, Amy M.
2009-10-06
Broadening industry governance to support nonproliferation could provide significant new leverage in preventing the spread/diversion of nuclear, radiological, or dual-use material or technology that could be used in making a nuclear or radiological weapon. Industry is defined broadly to include 1) the nuclear industry, 2) dual-use industries, and 3) radioactive source manufacturers and selected radioactive source-user industries worldwide. This paper describes how industry can be an important first line of defense in detecting and thwarting proliferation, such as an illicit trade network or an insider theft case, by complementing and strengthening existing governmental efforts. For example, the dual-use industry can play a critical role by providing export, import, or security control information that would allow a government or the International Atomic Energy Agency (IAEA) to integrate this information with safeguards, export, import, and physical protection information it has to create a more complete picture of the potential for proliferation. Because industry is closest to users of the goods and technology that could be illicitly diverted throughout the supply chain, industry information can potentially be more timely and accurate than other sources of information. Industry is in an ideal position to help ensure that such illicit activities are detected. This role could be performed more effectively if companies worked together within a particular industry to promote nonproliferation by implementing an industry-wide self-regulation program. Performance measures could be used to ensure their materials and technologies are secure throughout the supply chain and that customers are legitimately using and/or maintaining oversight of these items. Nonproliferation is the overarching driver that industry needs to consider in adopting and implementing a self-regulation approach. A few foreign companies have begun such an approach to date; it is believed that, ultimately, broad engagement of global industry leaders in self regulation is needed to result in the greatest nonproliferation benefit.
Moen, Stephan Craig; Meyers, Craig Glenn; Petzen, John Alexander; Foard, Adam Muhling
2012-08-07
A method of calibrating a nuclear instrument using a gamma thermometer may include: measuring, in the instrument, local neutron flux; generating, from the instrument, a first signal proportional to the neutron flux; measuring, in the gamma thermometer, local gamma flux; generating, from the gamma thermometer, a second signal proportional to the gamma flux; compensating the second signal; and calibrating a gain of the instrument based on the compensated second signal. Compensating the second signal may include: calculating selected yield fractions for specific groups of delayed gamma sources; calculating time constants for the specific groups; calculating a third signal that corresponds to delayed local gamma flux based on the selected yield fractions and time constants; and calculating the compensated second signal by subtracting the third signal from the second signal. The specific groups may have decay time constants greater than 5.times.10.sup.-1 seconds and less than 5.times.10.sup.5 seconds.
Photometry and transit-timing analysis for eleven transiting exoplanets
De Kleer, Katherine Rebecca
2009-01-01
This thesis presents time-series photometry of transits of 11 different extrasolar planets. Observations were conducted with the Fred L. Whipple Observatory 1.2m telescope and the Wise Observatory im telescope, in standard ...
2014-2015Series Health Sciences
MacAdam, Keith
: radiological technology, respiratory therapy, dental hygiene, clinical laboratory technicians, and nursing accommodates transfer students for many allied health disciplines including, but not limited to: radiological benefit their employers, health care facility, and patients. For additional information, go to: www
Time translation of quantum properties
L. Vanni; R. Laura
2008-12-03
Based on the notion of time translation, we develop a formalism to deal with the logic of quantum properties at different times. In our formalism it is possible to enlarge the usual notion of context to include composed properties involving properties at different times. We compare our results with the theory of consistent histories.
Simplifying the Reinsch algorithm for the Baker-Campbell-Hausdorff series
Alexander Van-Brunt; Matt Visser
2015-01-27
The Baker-Campbell-Hausdorff series computes the quantity \\begin{equation*} Z(X,Y)=\\ln\\left( e^X e^Y \\right) = \\sum_{n=1}^\\infty z_n(X,Y), \\end{equation*} where $X$ and $Y$ are not necessarily commuting, in terms of homogeneous multinomials $z_n(X,Y)$ of degree $n$. (This is essentially equivalent to computing the so-called Goldberg coefficients.) The Baker-Campbell-Hausdorff series is a general purpose tool of wide applicability in mathematical physics, quantum physics, and many other fields. The Reinsch algorithm for the truncated series permits one to calculate up to some fixed order $N$ by using $(N+1)\\times(N+1)$ matrices. We show how to further simplify the Reinsch algorithm, making implementation (in principle) utterly straightforward. This helps provide a deeper understanding of the Goldberg coefficients and their properties. For instance we establish strict bounds (and some equalities) on the number of non-zero Goldberg coefficients. Unfortunately, we shall see that the number of terms in the multinomial $z_n(X,Y)$ often grows very rapidly (in fact exponentially) with the degree $n$. We also present some closely related results for the symmetric product \\begin{equation*} S(X,Y)=\\ln\\left( e^{X/2} e^Y e^{X/2} \\right) = \\sum_{n=1}^\\infty s_n(X,Y). \\end{equation*} Variations on these themes are straightforward. For instance, one can just as easily consider the series \\begin{equation*} L(X,Y)=\\ln\\left( e^{X} e^Y e^{-X} e^{-Y}\\right) = \\sum_{n=1}^\\infty \\ell_n(X,Y). \\end{equation*} This type of series is of interest, for instance, when considering parallel transport around a closed curve. Several other related series are investigated.
Solar Technical Assistance Team (STAT) Summer Webinar Series: Webinar 3
Broader source: Energy.gov [DOE]
This document details the Solar Technical Assistance Team (STAT) Summer Webinar Series: Webinar 3: Solar Technology Options and Resource Assessment Question & Answer Session on August 15, 2012.
SEE Action Series: Local Strategies for Whole-Building Energy...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
TAP Webinar eere.energy.gov The Parker Ranch installation in Hawaii DOE Technical Assistance Program SEE Action Series: Local Strategies for Whole-Building Energy Savings Molly...
Bibliography of the Scripps Institution of Oceanography Reference Series 2000
Criqui, Nan P.
2001-01-01
SCRIPPS INSTITUTION OF OCEANOGRAPHY REFERENCE SERIES 00-1.Emeritus professor of oceanography, SIO, UCSD. ( OralScripps Institution of Oceanography. March 2000. 80p. 00-5.
Bibliography of the Scripps Institution of Oceanography Reference Series 1999
Jennings, Paige A.
2000-01-01
SCRIPPS INSTITUTION OF OCEANOGRAPHY REFERENCE SERIES 99-1Scripps Institution of Oceanography. April 1999. 55p. 99-11the Scripps Institution of Oceanography. Originally printed
Bibliography of the Scripps Institution of Oceanography Reference Series 1994
Criqui, Nan P.
1995-01-01
OF THE SCRIPPS INSTITUTION OF OCEANOGRAPHY REFERENCE SERIESScripps Institution of Oceanography. July 1994. 179p. 94-17Scripps Institution of Oceanography Reference Series 1994.
Focus Series: Maine - Residential Direct Install Program | Department...
Broader source: Energy.gov (indexed) [DOE]
Better Buildings Neighborhood Program Focus Series: Maine - Residential Direct Install Program: Residential Air Sealing Program Drives Maine Home Energy Savings Through the Roof....
Seismic Imaging of the Earth's Interior (LBNL Summer Lecture Series)
Romanowicz, Barbara
2011-04-28
Summer Lecture Series 2006: Earth scientist Barbara Romanowicz discusses how she explores the deep structure and dynamics of the Earth using seismic tomography.
Focus Series: Philadelphia Energyworks: In the City of Brotherly...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Philadelphia Energyworks: In the City of Brotherly Love, Sharing Know-How Leads to Sustainability Focus Series: Philadelphia Energyworks: In the City of Brotherly Love, Sharing...
Integrated Mathematical Modeling Software Series of Vehicle Propulsion...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Mathematical Modeling Software Series of Vehicle Propulsion System: (1) Tractive Effort (T sub ew) of Vehicle Road WheelTrack Sprocket Integrated Mathematical Modeling Software...
Discovery of the Transuranium Elements (LBNL Summer Lecture Series)
Hoffman, Darleane
2011-04-28
Summer Lecture Series 2006: Darleane Hoffman, a Berkeley Lab nuclear chemist, chronicles the discovery of the heaviest elements ? those much heavier than uranium and plutonium.
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"...
PSERC Webinar Series: Issues in Designing the Future Grid - Transmissi...
Transmission Design at the National Level - January 24, 2012 PSERC Webinar Series: Issues in Designing the Future Grid - Transmission Design at the National Level - January 24,...
Building America Best Practices Series: Volume 12. EnergyRenovations...
Office of Environmental Management (EM)
12. Energy Renovations-Insulation: A Guide for Contractors to Share With Homeowners Building America Best Practices Series: Volume 12. Energy Renovations-Insulation: A Guide for...
What To Include In The Whistleblower Complaint? | National Nuclear...
National Nuclear Security Administration (NNSA)
Apply for Our Jobs Our Jobs Working at NNSA Blog Home About Us Our Operations Management and Budget Whistleblower Program What To Include In The Whistleblower Complaint?...
Introduction to Small-Scale Photovoltaic Systems (Including RETScreen...
Introduction to Small-Scale Photovoltaic Systems (Including RETScreen Case Study) (Webinar) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Introduction to Small-Scale...
Including Retro-Commissioning in Federal Energy Savings Performance...
Broader source: Energy.gov (indexed) [DOE]
More Documents & Publications Including Retro-Commissioning in Federal Energy Savings Performance Contracts Enabling Mass-Scale Financing for Federal Energy, Water, and...
Numerical simulations for low energy nuclear reactions including...
Office of Scientific and Technical Information (OSTI)
Numerical simulations for low energy nuclear reactions including direct channels to validate statistical models Citation Details In-Document Search Title: Numerical simulations for...
U-182: Microsoft Windows Includes Some Invalid Certificates
Broader source: Energy.gov [DOE]
The operating system includes some invalid intermediate certificates. The vulnerability is due to the certificate authorities and not the operating system itself.
Force measuring valve assemblies, systems including such valve assemblies and related methods
DeWall, Kevin George (Pocatello, ID); Garcia, Humberto Enrique (Idaho Falls, ID); McKellar, Michael George (Idaho Falls, ID)
2012-04-17
Methods of evaluating a fluid condition may include stroking a valve member and measuring a force acting on the valve member during the stroke. Methods of evaluating a fluid condition may include measuring a force acting on a valve member in the presence of fluid flow over a period of time and evaluating at least one of the frequency of changes in the measured force over the period of time and the magnitude of the changes in the measured force over the period of time to identify the presence of an anomaly in a fluid flow and, optionally, its estimated location. Methods of evaluating a valve condition may include directing a fluid flow through a valve while stroking a valve member, measuring a force acting on the valve member during the stroke, and comparing the measured force to a reference force. Valve assemblies and related systems are also disclosed.
Tsai, Cheng; Douglas, David R.; Li, Rui
2015-09-01
The coherent synchrotron radiation (CSR) of a high brightness electron beam traversing a series of dipoles, such as transport or recirculation arcs, may result in the microbunching instability (?BI). To accurately quantify the direct consequence of this effect, we further extend our previously developed semi-analytical Vlasov solver to include more relevant coherent radiation models than the steady-state free-space CSR impedance, such as the entrance and exit transient effects derived from upstream beam entering to and exiting from individual dipoles. The resultant microbunching gain functions and spectra for our example lattices are presented and compared with particle tracking simulation. Some underlying physics with inclusion of these effects are also discussed.
1986-12-01
With NRC concurrence, the Licensing Plan for the Standard HTGR describes an application program consistent with 10CFR50, Appendix O to support a US Nuclear Regulatory Commission (NRC) review and design certification of an advanced Standard modular High Temperature Gas-Cooled Reactor (MHTGR) design. Consistent with the NRC's Advanced Reactor Policy, the Plan also outlines a series of preapplication activities which have as an objective the early issuance of an NRC Licensability Statement on the Standard MHTGR conceptual design. This Preliminary Safety Information Document (PSID) has been prepared as one of the submittals to the NRC by the US Department of Energy in support of preapplication activities on the Standard MHTGR. Other submittals to be provided include a Probabilistic Risk Assessment, a Regulatory Technology Development Plan, and an Emergency Planning Bases Report.
Bioremediation: Hope/Hype for Environmental Cleanup (LBNL Summer Lecture Series)
Hazen, Terry [LBNL, Ecology Dept
2011-04-28
Summer Lecture Series 2007: Terry Hazen, Senior Staff Scientists and Head of the LBNL Ecology Department, discusses when it's best to resort to engineered bioremediation of contaminated sites, and when it's best to rely on natural attenuation. Recent advances have greatly broadened the potential applications for bioremediation. At the same time, scientists' knowledge of biogeochemical processes has advanced and they can better gauge how quickly and completely contaminants can be degraded without human intervention.
Bioremediation: Hope/Hype for Environmental Cleanup (LBNL Summer Lecture Series)
Hazen, Terry [LBNL, Ecology Department
2013-06-11
Summer Lecture Series 2007: Terry Hazen, Senior Staff Scientists and Head of the LBNL Ecology Department, discusses when it's best to resort to engineered bioremediation of contaminated sites, and when it's best to rely on natural attenuation. Recent advances have greatly broadened the potential applications for bioremediation. At the same time, scientists' knowledge of biogeochemical processes has advanced and they can better gauge how quickly and completely contaminants can be degraded without human intervention.
Topeka’s “Green Light Tunnel” Saves Fuel and Time
Broader source: Energy.gov [DOE]
Topeka, Kansas is saving their motorists time and gasoline through the use of a real-time, adaptive "green light tunnel". A traffic signal system that synchronizes traffic lights in order to create a series of green lights that result in fewer stops and less travel time.
PSERC 97-12 "Thermal Unit Commitment Including
PSERC 97-12 "Thermal Unit Commitment Including Optimal AC Power Flow Constraints" Carlos Murillo-562-3966. #12;Thermal Unit Commitment Including Optimal AC Power Flow Constraints Carlos Murillo S anchez Robert a new algorithm for unit commitment that employs a Lagrange relaxation technique with a new augmentation
Summer Conference Participant Registration Fee: $200 Includes the following
Tullos, Desiree
Summer Conference Participant Registration Fee: $200 Includes the following: Lodging for Wednesday on Wednesday, Thursday, and Friday Brunch on Saturday Summer Conference T-shirt Class materials Congress Only only (although they are encouraged to attend the entire conference). This fee includes the following
Energy Transitions: A Systems Approach Including Marcellus Shale Gas Development
Chen, Tsuhan
Energy Transitions: A Systems Approach Including Marcellus Shale Gas Development A Report Transitions: A Systems Approach Including Marcellus Shale Gas Development Executive Summary In the 21st the Marcellus shale In addition to the specific questions identified for the case of Marcellus shale gas in New
Articles which include chevron film cooling holes, and related processes
Bunker, Ronald Scott; Lacy, Benjamin Paul
2014-12-09
An article is described, including an inner surface which can be exposed to a first fluid; an inlet; and an outer surface spaced from the inner surface, which can be exposed to a hotter second fluid. The article further includes at least one row or other pattern of passage holes. Each passage hole includes an inlet bore extending through the substrate from the inlet at the inner surface to a passage hole-exit proximate to the outer surface, with the inlet bore terminating in a chevron outlet adjacent the hole-exit. The chevron outlet includes a pair of wing troughs having a common surface region between them. The common surface region includes a valley which is adjacent the hole-exit; and a plateau adjacent the valley. The article can be an airfoil. Related methods for preparing the passage holes are also described.
Nicolaides, Cleanthes A
2015-01-01
Recent developments toward the production and laboratory use of pulses of high intensity, and/or of very high frequency, and/or of ultrashort duration, make possible experiments which can produce time-resolved data on ultrafast transformations involving motions of electrons. The formulation, quantitative understanding and prediction of related new phenomena entail the possibility of computing and applying solutions of the many-electron time-dependent Schroedinger equation, for arbitrary electronic structures, including the dominant effects of Rydberg series, of multiply excited states and of the multi-channel continuous spectrum. To this purpose, we have proposed and applied to many prototypical cases the state-specific expansion approach (SSEA). (Mercouris, Komninos and Nicolaides, Adv. Quantum Chem. 60, 333 (2010)). The paper explains briefly the SSEA, and outlines four of its applications to recently formulated problems concerning time-resolved electronic processes, where electron correlations are crucial....
A New Series of Rate Decline Relations Based on the Diagnosis of Rate-Time Data
Boulis, Anastasios
2010-01-14
point for their derivation is given by the definitions of the "loss ratio" and the "derivative of the loss ratio", where the "loss ratio" is the ratio of rate data to derivative of rate data, and the "derivative of the loss ratio" is the "b...
Nemati, Shamim, 1980-
2013-01-01
Physiological control systems involve multiple interacting variables operating in feedback loops that enhance an organism's ability to self-regulate and respond to internal and external disturbances. The resulting multivariate ...
Space partitioning via Hilbert transform for symbolic time series analysis Aparna Subbua
Ray, Asok
of the Euclidean distance between symbolic neighbors. Thus, better partitions yield a smaller proportion is minimized over the free parameters using a genetic algorithm suitable for continuous-parameter spaces
Thorsten Stahn; Laurent Gizon
2008-03-14
Quantitative helio- and asteroseismology require very precise measurements of the frequencies, amplitudes, and lifetimes of the global modes of stellar oscillation. It is common knowledge that the precision of these measurements depends on the total length (T), quality, and completeness of the observations. Except in a few simple cases, the effect of gaps in the data on measurement precision is poorly understood, in particular in Fourier space where the convolution of the observable with the observation window introduces correlations between different frequencies. Here we describe and implement a rather general method to retrieve maximum likelihood estimates of the oscillation parameters, taking into account the proper statistics of the observations. Our fitting method applies in complex Fourier space and exploits the phase information. We consider both solar-like stochastic oscillations and long-lived harmonic oscillations, plus random noise. Using numerical simulations, we demonstrate the existence of cases for which our improved fitting method is less biased and has a greater precision than when the frequency correlations are ignored. This is especially true of low signal-to-noise solar-like oscillations. For example, we discuss a case where the precision on the mode frequency estimate is increased by a factor of five, for a duty cycle of 15%. In the case of long-lived sinusoidal oscillations, a proper treatment of the frequency correlations does not provide any significant improvement; nevertheless we confirm that the mode frequency can be measured from gapped data at a much better precision than the 1/T Rayleigh resolution.
CITED REFERENCES Acevedo, W; Masuoka, P. 1997. Time-Series Animation Techniques for Visualizing
Julien, Pierre Y.
for Exploratory Analysis. GeoInformatics, 3 . http://www.geoinformatics.com/issueonline/issues/2000/12_2000/pdf_12
Time series analysis and feature extraction techniques for structural health monitoring applications
Overbey, Lucas A.
2008-01-01
Polymer Composite Bridge, Proc. SPIE Smart Structures andused for Bridge Diagnostics, Proc. SPIE Smart Structures andTechnology Bridge Project, Proc. SPIE Smart Structures and
EXTREME VALUE ANALYSIS FOR CLIMATE TIME SERIES Institute for Mathematics Applied to Geosciences
Katz, Richard
Extremes (3) Temporal Dependence / Scaling of Climate Extremes (4) Interpretation of Tail Behavior of floods: Design of dams Flood plain regulation ("100-year flood") #12;6 · Non-Stationarity -- Sources extremes) Sub-divide (e. g., separate analysis by month) #12;7 (2) Statistics of Climate Extremes · Tail
Meaningful Rule Discovery and Adaptive Classification of Multi-Dimensional Time Series Data
Shokoohi-Yekta, Mohammad
2015-01-01
the telemetry of a Delayed Coker. In the last twelve hoursthe telemetry of a Delayed Coker. In the last twelve hours
EMCS and time-series energy data analysis in a large government office building
Piette, Mary Ann; Kinney, Satkartar; Friedman, Hannah
2001-01-01
and analyze building performance data (Sebald and Pietteevaluating the building's operations data. The objective offrom the whole-building electric data is the temperature
Time series analysis and feature extraction techniques for structural health monitoring applications
Overbey, Lucas A.
2008-01-01
SHM structural health monitoring UAV unmanned aerial vehiclefor aerospace applications. (a) UAV Predator, (b) Lockheedof the unmanned aerial vehicle (UAV) Predator, as weight
Detecting essential nodes in complex networks from measured noisy time series
and functional importance. Moreover, such a method has been demonstrated being robust against the effect be observed in neural systems, food web networks, epidemiological systems, social networks and so on. From
Design of experiments on neural network's training for nonlinear time series forecasting
Popova, Elmira
University of Texas at Austin, USA a r t i c l e i n f o Article history: Received 10 August 2007 Received t In this study, the statistical methodology of Design of Experiments (DOE) was applied to better determine of the most common trial and error technique for the ANN's training, DOE was found to be a better methodology
Identification of statistical patterns in complex systems via symbolic time series analysis
Ray, Asok
monitoring and decision making in human-engineered complex systems, such as electric power generation, and Automation Society. #12;electric power generation plants, petrochemical plants, and networked transportation integrity and operation reliability. The core concept of pattern identification is built upon the principles
discussion; rather we are concerned here with electrical or magnetic recordings of rapid neuronal dynamics-response properties of a frog's leg at a behavioral level, Sherrington was able to deduce basic principles of neuronal the existence of endogenous generators of behavior or central pattern gen- erators(Gallistel, 1980). Skinner
Summarizing Neonatal Time Series Data Somayajulu G. Sripada, Ehud Reiter, Jim Hunter and Jin Yu
Sripada, Yaji
initially worked in two domains, meteorology and gas turbines. In meteorology we generate textual weather forecasts from weather data such as wind speed, wind direction, and wave heights. In gas turbines we generate textual summaries of unex- pected patterns in sensor data such as exhaust temperature, liquid fuel
Dynamics in the Deep Canada Basin, Arctic Ocean, Inferred by Thermistor Chain Time Series
, stable basin often assumed. Vertical motions at the near-inertial (tidal) frequency have amplitudes of 10 20 m. These vertical displacements are surprisingly large considering the downward near that the staircase structure is likely maintained by a very weak heat flux and that most of the geothermal heat flux
On the Genetic Programming of Time-Series Predictors for Supply Chain Management
Fernandez, Thomas
of organizations from getting raw materials, manufacturing goods to delivering them to customers, sup- porting agents compete in the game, acting as PC manufacturers. They buy components from suppliers, assemble them by the TAC server. The aim of each participating manufacturer is to maximize their profit; the agent
Pattern Graphs: Combining Multivariate Time Series and Labelled Interval Sequences for
Berthold, Michael R.
.500) gear down [1,*] ? ? [1,*] [1,*] [1,*] [1,*] low revolutions [1,*] [1,*] ? [1,50] [1,*] gear up ? [1,50] ? [1,50] [1,*] ? [1,*] [1,*] [1,*]? [1,*] middle revolutions ¬gear up ¬gear down ¬gear up ¬gear down [1,*] gear up Fig. 1 Example of a pattern graph describing a driving cycle (learned from data, see [10
Learning Dynamic Systems From Time-Series Data - An Application to Gene Regulatory Networks
Timoteo, Ivo J. P. M.; Holden, Sean B.
2015-01-01
). Learn- ing networks of stochastic differential equations. In Lafferty, J. D., Williams, C. K. I., Shawe-Taylor, J., Zemel, R. S., and Culotta, A., editors, NIPS, pages 172–180. Curran Associates, Inc. Bento, J., Ibrahimi, M., and Montanari, A. (2011...
Essays on empirical time series modeling with causality and structural change
Kim, Jin Woong
2006-10-30
sector is the most root cause sector. Test results show that DAG from ex ante forecast innovations is consistent with the DAG fro m ex post fit innovations. This supports innovation accounting based on DAGs using ex post innovations. In the second essay...
Infiniium 90000A Series Oscilloscopes Engineered for unmatched real-time measurement accuracy
Anlage, Steven
anywhere in the digital serial link with our hardware accelerated N5465A InfiniiSim Waveform Transformation
EOF analysis of a time series with application to tsunami detection
Tolkova, Elena
-space basis can be derived via Empirical Orthogonal Function (EOF) analysis of a tidal record of a single buoy. Decomposition of a tsunami buoy record in a functional space of tidal EOFs presents an efficient tool and quantification (Tolkova, E. 2009. Principal Component Analysis of Tsunami Buoy Record: Tide Prediction
Time series analysis and feature extraction techniques for structural health monitoring applications
Overbey, Lucas A.
2008-01-01
rd Int’l Workshop on Structural Health Monitoring, StanfordExcitation for Structural Health Monitoring, Smart MaterialsExtraction in Structural Health Monitoring. Structural
Mining Time Series Data: Moving from Toy Problems to Realistic Deployments
Hu, Bing
2013-01-01
Journal of Data Mining and Knowledge Discovery, pp.349-371,2 nd Workshop on Temporal Data Mining, 2002 K. Malatesta, S.Parameter-Free Spatial Data Mining using MDL,” ICDM, 2005
A Time Series Analysis of Food Price and Its Input Prices
Routh, Kari 1988-
2012-11-27
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 4.4 4.6 4.8 5.0 5.2 5.4 5.6 Log US Monthly Dollar Index 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 4.52 4.56 4.60 4.64 4.68 4.72 4.76 4.80 4.84 4.88 17... ........................................................... 39 Discussion ....................................................................................................... 42 Comparison of Results from Other DAGs .......................................................... 44 CHAPTER V...
Ras, Zbigniew W.
a University of Pittsburgh b University of North Carolina at Charlotte ABSTRACT Aviation disaster prevention and their corresponding effects on the craft's safety, better maintenance and response plans can be devised to prevent Aviation Agency's Accident/Incident Database, which contains more than 90,000 incidents across 53
Extracting unstable periodic orbits from chaotic time series data Paul So,1,2
Roberts, Stephen
, D.C. 20010 2 Institute for Plasma Research, University of Maryland, College Park, Maryland 20742 3
Recovering Latent Time-Series from their Observed Sums: Network Tomography with Particle Filters.
Faloutsos, Christos
Foundation under Grants No. IIS-0083148, IIS-0113089, IIS-0209107, IIS-0205224, INT-0318547, SENSOR-0329549.00. Categories and Subject Descriptors: I.2.6 [Artificial Inteligence]:Learning Keywords: Origin
Recovering Latent Time-Series from their Observed Sums: Network Tomography with Particle Filters.
Murphy, Robert F.
Foundation under Grants No. IIS-0083148, IIS-0113089, IIS-0209107, IIS-0205224, INT-0318547, SENSOR-0329549.00. Categories and Subject Descriptors: I.2.6 [Artificial Inteligence]: Learning General Terms: Algorithms
A new approach for rapid detection of nearby thresholds in ecosystem time series
Pace, Michael L.
July 2013 Recognition of an incoming nuclear missile is a case where fast detection is needed for quickest detection of change points, such as appearance of a missile on radar or a submarine on sonar models, one for the status quo (`no submarine') and one for a new and different situation (`submarine
Six-Week Time Series Of Eddy Covariance Co2 Flux At Mammoth Mountain...
energy fluxes (sensible and latent heat) against available energy (net radiation, less soil heat flux). While incomplete (R2 0.77 for 1:1 line), the degree of energy balance...
A Daily Time Series Analysis of Stream Water Phosphorus Concentrations Along an
Arhonditsis, George B.
. This degradation can be caused by discharges of industrial or municipal wastewater treatment plant effluent). In lakes, phosphorus is the most com- mon regulator of primary production, and excessive P inputs can cause
The relation between Brazilian and Chicago Board of Trade soybean prices: a time series test
Melcher, Bruno
1991-01-01
, and finally, (c) the nature and degree of intervention by governments or international agencies in the market price determination mechanism. 17 CHAPTER III THE HISTORICAL EVOLUTION OP THE BRAZILIAN SOYBEAN SYSTEM Soybean cultivation in Brazil dates from... at distance, were always present with their love and encouragement. vii TABLE OF CONTENTS Page CHAPTER I INTRODUCTION Objectives. Overview. 5 6 CHAPTER II FUTURES MARKETS Price Discovery. Information. 11 13 CHAPTER III THE HISTORICAL EVOLUTION...
Fisher, Andrew
of variable streambed hydraulic conductivity. This new approach should facilitate wider use of thermal methods streams in the western United States have declined during the summer and fall in recent years, when in base flow and changes in groundwater recharge [e.g., Bredehoeft et al., 1982], but measuring
Exploratory Spectral Analysis of Hydrological Time Series A.I. McLeod
McLeod, Ian
of Systems Design Engineering University of Waterloo Waterloo, Ontario, Canada N2L 3C5 December 1994 #12 previ- ously to these datasets adequately describe the low frequency component. The software and data are prewhitened by fitting either trend models or simple parametric models such as autore- gressive
Two-Sample Testing in High Dimension and a Smooth Block Bootstrap for Time Series
Gregory, Karl Bruce
2014-06-12
test statistic for testing the equality of two population mean vectors in the "large-p-small-n" setting. Such a test must surmount the rank-deficiency of the sample covariance matrix, which breaks down the classic Hotelling T^(2) test. The proposed...
Identification of the battery state-of-health parameter from inputeoutput pairs of time series data
Ray, Asok
-Markov machines. Pertinent features of the statistics of battery dynamics are extracted as the state emission- ergy storage in various application systems (e.g., electric & hybrid vehicles, renewable energy, power are plug-in electric vehicles and hybrid locomotives. The State of Health (SOH) parameter is a measure
NOAA Technical Report ERL 455-PMEL 43 A Time Series of Temperature, Salinity, and
Laboratory 7600 Sand Point Way NE Seattle, WA 98115 September 1999 Contribution 2134 from NOAA/Pacific Marine Sea Shelf, 19951999 Ronald K. Reed Abstract. CTD (conductivity/temperature/depth) casts were taken
Time series study of urban rainfall suppression during clean-up periods
Geng, Jun
2009-05-15
The effect on urban rainfall of pollution aerosols is studied both by data analysis and computational simulation. Our study examines data for urban areas undergoing decadal clean-up. We compare the annual precipitation between polluted sites...
Time series study of urban rainfall suppression during clean-up periods
Geng, Jun
2008-10-10
. Effects of Pollutant Aerosols on Precipitation……………….... 3 3. Our Focus………………………………………………………. 6 II STUDY OF SUPPRESSION OF PRECIPITATION IN AIR POLLUTIONS BY ANALYZING DATA FROM...)......................................................................................... 21 6 Trends of ratio of annual precipitation amount of Culver City (CC) and Pasadena (PA)...................................................................................... 23 7 The relationship between precipitation and TSP...
Correlation Analysis of Spatial Time Series Datasets: A Filter-and-Refine Approach
Kumar, Vipin
. For example, El Nino, the anomalous warming of the eastern tropical region of the Pacific, has been linked
Utilizing Correlations to Compress Time-Series in Traffic Monitoring Sensor Networks
Martin, Ralph R.
at £20bn. In urban areas, transport is the major source of carbon dioxide emissions, and traffic Cambridge testbed (Figure 1) and the spatio- temporal properties of a real traffic dataset. Section III
Software Selection for Reliability Optimization using Time Series Analysis and Machine Learning
Mu, Yali
2013-01-01
of Software Selection . . . . . . . . . . . . . . . . . . .for the software reliability. . . . . . . . . . . . . . K-number of bugs for software. Accumulated number of bugs
A supply forecasting model for Zimbabwe's corn sector: a time series and structural analysis
Makaudze, Ephias
1993-01-01
Board's financial resource needs. Thus, the corn supply forecasts are important information used by the government for contingency planning, decision-making, policy-formulation and implementation. As such, the need for accurate forecasts is obvious...
A SERVICE FRAMEWORK FOR LEARNING, QUERYING, AND MONITORING MULTIVARIATE TIME SERIES
Lin, Jessica
Drive MSN 4A5, Fairfax, Virginia 22030- 4422, United States cngan@gmu.edu, brodsky@gmu.edu, jessica monitor daily stock prices, weekly interest rates, and monthly price indices to analyze different states death rates in a population region. To support such decision-marking and determination over multivariate
Multi-Event Decision Making over Multivariate Time Series Chun-Kit Ngan, Alexander Brodsky1
Lin, Jessica
, Fairfax, Virginia 22030-4422, United States cngan@gmu.edu, brodsky@gmu.edu, jessica@cs.gmu.edu http on blood pressure and pulse anomalies on electrocardiogram, as well as low birth but high death rates and researchers monitor daily stock prices, weekly interest rates, and monthly price indices to analyze different
An Event-Based Service Framework for Learning, Querying, and Monitoring Multivariate Time Series
Lin, Jessica
University, 4400 University Drive MSN 4A5, Fairfax, Virginia 22030-4422, United States {cngan, brodsky rates, and monthly price indices to analyze different states of stock markets. In medical studies pressure and pulse anomalies on electrocardiogram, as well as low birth but high death rates in a #12