Parameter and state estimation in nonlinear dynamical systems
Creveling, Daniel R.
2008-01-01T23:59:59.000Z
and J. Kurths. Nonlinear dynamical system identi?ca- tionEstimation In Nonlinear Dynamical Systems A dissertationState Estimation In Nonlinear Dynamical Systems by Daniel R.
Estimating Power System Dynamic States Using Extended Kalman Filter
Huang, Zhenyu; Schneider, Kevin P.; Nieplocha, Jaroslaw; Zhou, Ning
2014-10-31T23:59:59.000Z
Abstract—The state estimation tools which are currently deployed in power system control rooms are based on a steady state assumption. As a result, the suite of operational tools that rely on state estimation results as inputs do not have dynamic information available and their accuracy is compromised. This paper investigates the application of Extended Kalman Filtering techniques for estimating dynamic states in the state estimation process. The new formulated “dynamic state estimation” includes true system dynamics reflected in differential equations, not like previously proposed “dynamic state estimation” which only considers the time-variant snapshots based on steady state modeling. This new dynamic state estimation using Extended Kalman Filter has been successfully tested on a multi-machine system. Sensitivity studies with respect to noise levels, sampling rates, model errors, and parameter errors are presented as well to illustrate the robust performance of the developed dynamic state estimation process.
Distributed Dynamic State Estimation with Extended Kalman Filter
Du, Pengwei; Huang, Zhenyu; Sun, Yannan; Diao, Ruisheng; Kalsi, Karanjit; Anderson, Kevin K.; Li, Yulan; Lee, Barry
2011-08-04T23:59:59.000Z
Increasing complexity associated with large-scale renewable resources and novel smart-grid technologies necessitates real-time monitoring and control. Our previous work applied the extended Kalman filter (EKF) with the use of phasor measurement data (PMU) for dynamic state estimation. However, high computation complexity creates significant challenges for real-time applications. In this paper, the problem of distributed dynamic state estimation is investigated. One domain decomposition method is proposed to utilize decentralized computing resources. The performance of distributed dynamic state estimation is tested on a 16-machine, 68-bus test system.
Dynamic State Estimation Utilizing High Performance Computing Methods
Schneider, Kevin P.; Huang, Zhenyu; Yang, Bo; Hauer, Matthew L.; Nieplocha, Jaroslaw
2009-03-18T23:59:59.000Z
The state estimation tools which are currently deployed in power system control rooms are based on a quasi-steady-state assumption. As a result, the suite of operational tools that rely on state estimation results as inputs do not have dynamic information available and their accuracy is compromised. This paper presents an overview of the Kalman Filtering process and then focuses on the implementation of the predication component on multiple processors.
Optimal State Estimation for Boolean Dynamical Systems
Braga-Neto, Ulisses
of its components, f = (f1,f2,...,fd), where each component fi {0,1}d {0,1}, i = 1,...,d, is a Boolean Engineering Texas A & M University College Station, Texas 77843 Email: ub@ieee.org Abstract--A novel state
Reduced Measurement-space Dynamic State Estimation (ReMeDySE) for Power Systems
Zhang, Jinghe; Welch, Greg; Bishop, Gary; Huang, Zhenyu
2011-06-19T23:59:59.000Z
Abstract- Applying Kalman filtering techniques to dynamic state estimation is a developing research area in modern power systems.
Zhou, Ning; Huang, Zhenyu; Meng, Da; Elbert, Stephen T.; Wang, Shaobu; Diao, Ruisheng
2014-03-31T23:59:59.000Z
With the increasing complexity resulting from uncertainties and stochastic variations introduced by intermittent renewable energy sources, responsive loads, mobile consumption of plug-in vehicles, and new market designs, more and more dynamic behaviors are observed in everyday power system operation. To operate a power system efficiently and reliably, it is critical to adopt a dynamic paradigm so that effective control actions can be taken in time. The dynamic paradigm needs to include three fundamental components: dynamic state estimation; look-ahead dynamic simulation; and dynamic contingency analysis (Figure 1). These three components answer three basic questions: where the system is; where the system is going; and how secure the system is against accidents. The dynamic state estimation provides a solid cornerstone to support the other 2 components and is the focus of this study.
Feasibility Studies of Applying Kalman Filter Techniques to Power System Dynamic State Estimation
Huang, Zhenyu; Schneider, Kevin P.; Nieplocha, Jarek
2007-08-01T23:59:59.000Z
Abstract—Lack of dynamic information in power system operations mainly attributes to the static modeling of traditional state estimation, as state estimation is the basis driving many other operations functions. This paper investigates the feasibility of applying Kalman filter techniques to enable the inclusion of dynamic modeling in the state estimation process and the estimation of power system dynamic states. The proposed Kalman-filter-based dynamic state estimation is tested on a multi-machine system with both large and small disturbances. Sensitivity studies of the dynamic state estimation performance with respect to measurement characteristics – sampling rate and noise level – are presented as well. The study results show that there is a promising path forward to implementation the Kalman-filter-based dynamic state estimation with the emerging phasor measurement technologies.
Toward a 6 DOF Body State Estimator for a Hexapod Robot with Dynamical Gaits
Lin, Pei-Chun
Toward a 6 DOF Body State Estimator for a Hexapod Robot with Dynamical Gaits Pei-Chun Lin on a continuous time full body state estimator for a hexapod robot operating in the dynamical regime (entailing-per-stride estimates. I. INTRODUCTION The hexapod, RHex [1], exhibits unprecedented mobility for a legged autonomous
Sensor Data Fusion for Body State Estimation in a Hexapod Robot with Dynamical Gaits
Lin, Pei-Chun
Sensor Data Fusion for Body State Estimation in a Hexapod Robot with Dynamical Gaits Pei-Chun Lin toward a continuous time full 6 DOF translational body state estimator for a hexapod robot executing this estimation procedure on the hexapod robot RHex and evaluate its per- formance using a visual ground truth
Meliopoulos, Sakis; Cokkinides, George; Fardanesh, Bruce; Hedrington, Clinton
2013-12-31T23:59:59.000Z
This is the final report for this project that was performed in the period: October1, 2009 to June 30, 2013. In this project, a fully distributed high-fidelity dynamic state estimator (DSE) that continuously tracks the real time dynamic model of a wide area system with update rates better than 60 times per second is achieved. The proposed technology is based on GPS-synchronized measurements but also utilizes data from all available Intelligent Electronic Devices in the system (numerical relays, digital fault recorders, digital meters, etc.). The distributed state estimator provides the real time model of the system not only the voltage phasors. The proposed system provides the infrastructure for a variety of applications and two very important applications (a) a high fidelity generating unit parameters estimation and (b) an energy function based transient stability monitoring of a wide area electric power system with predictive capability. Also the dynamic distributed state estimation results are stored (the storage scheme includes data and coincidental model) enabling an automatic reconstruction and “play back” of a system wide disturbance. This approach enables complete play back capability with fidelity equal to that of real time with the advantage of “playing back” at a user selected speed. The proposed technologies were developed and tested in the lab during the first 18 months of the project and then demonstrated on two actual systems, the USVI Water and Power Administration system and the New York Power Authority’s Blenheim-Gilboa pumped hydro plant in the last 18 months of the project. The four main thrusts of this project, mentioned above, are extremely important to the industry. The DSE with the achieved update rates (more than 60 times per second) provides a superior solution to the “grid visibility” question. The generator parameter identification method fills an important and practical need of the industry. The “energy function” based transient stability monitoring opens up new ways to protect the power grid, better manage disturbances, confine their impact and in general improve the reliability and security of the system. Finally, as a by-product of the proposed research project, the developed system is able to “play back” disturbances by a click of a mouse. The importance of this by-product is evident by considering the tremendous effort exerted after the August 2003 blackout to piece together all the disturbance recordings, align them and recreate the sequence of events. This project has moved the state of art from fault recording by individual devices to system wide disturbance recording with “play back” capability.
Estimation of the Dynamic States of Synchronous Machines Using an Extended Particle Filter
Zhou, Ning; Meng, Da; Lu, Shuai
2013-11-11T23:59:59.000Z
In this paper, an extended particle filter (PF) is proposed to estimate the dynamic states of a synchronous machine using phasor measurement unit (PMU) data. A PF propagates the mean and covariance of states via Monte Carlo simulation, is easy to implement, and can be directly applied to a non-linear system with non-Gaussian noise. The extended PF modifies a basic PF to improve robustness. Using Monte Carlo simulations with practical noise and model uncertainty considerations, the extended PF’s performance is evaluated and compared with the basic PF and an extended Kalman filter (EKF). The extended PF results showed high accuracy and robustness against measurement and model noise.
Marius Buibas; Gabriel A. Silva
2010-06-22T23:59:59.000Z
We present a framework for simulating signal propagation in geometric networks (i.e. networks that can be mapped to geometric graphs in some space) and for developing algorithms that estimate (i.e. map) the state and functional topology of complex dynamic geometric net- works. Within the framework we define the key features typically present in such networks and of particular relevance to biological cellular neural networks: Dynamics, signaling, observation, and control. The framework is particularly well-suited for estimating functional connectivity in cellular neural networks from experimentally observable data, and has been implemented using graphics processing unit (GPU) high performance computing. Computationally, the framework can simulate cellular network signaling close to or faster than real time. We further propose a standard test set of networks to measure performance and compare different mapping algorithms.
PREDICTIVE POWER CONTROL FOR DYNAMIC STATE ESTIMATION OVER WIRELESS SENSOR NETWORKS WITH RELAYS
for state estimation of a stationary ARMA process over a wireless sensor network (WSN), consisting of sensor networks for a widespread of ap- plications, e.g., target-tracking and data acquisition [5,15]. A WSN energy. The wireless communication channel between nodes in the WSN is subject to fading, which
Venkatasubramanian, Mani V.
. The approximation follows from an analysis of the fundamental equations describing synchronous machine models models. Index Terms--Synchronous machine models, power system dynamics, power system models, power system of the dynamic state variables of a synchronous machine connected to an arbitrary external network. The technique
Measurement enhancement for state estimation
Chen, Jian
2009-05-15T23:59:59.000Z
in the power system. A robust state estimation should have the capability of keeping the system observable during different contingencies, as well as detecting and identifying the gross errors in measurement set and network topology. However, this capability...
State Energy Production Estimates
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5(Million Cubic Feet) Oregon (Including Vehicle Fuel) (MillionStructural Basis of Wnt Recognition by Frizzled SSRL Science SummaryInitiativesPriceState
Efficient Power System State Estimation
Lavaei, Javad
monitoring of power systems. 2. Background Power systems have four main components: transmission, sub-transmissionEfficient Power System State Estimation Zafirah Baksh Expected BS, Department of Electrical Engineering May 2013 ELEN E4511 Power Systems Analysis Professor Javad Lavaeiyanesi #12;1. Introduction Power
Enhanced State Estimators Final Project Report
. State estimators, integrated into control center energy management systems, provide estimates of varying magnitude. As a result, a state estimator is an essential tool for system monitoring becauseEnhanced State Estimators Final Project Report Power Systems Engineering Research Center A National
State energy data report 1994: Consumption estimates
NONE
1996-10-01T23:59:59.000Z
This document provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), operated by EIA. SEDS provides State energy consumption estimates to members of Congress, Federal and State agencies, and the general public, and provides the historical series needed for EIA`s energy models. Division is made for each energy type and end use sector. Nuclear electric power is included.
Compressing measurements in quantum dynamic parameter estimation
Magesan, Easwar
We present methods that can provide an exponential savings in the resources required to perform dynamic parameter estimation using quantum systems. The key idea is to merge classical compressive sensing techniques with ...
Uncertainty Quantification in ocean state estimation
Kalmikov, Alexander G
2013-01-01T23:59:59.000Z
Quantifying uncertainty and error bounds is a key outstanding challenge in ocean state estimation and climate research. It is particularly difficult due to the large dimensionality of this nonlinear estimation problem and ...
State energy data report 1993: Consumption estimates
NONE
1995-07-01T23:59:59.000Z
The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public; and (2) to provide the historical series necessary for EIA`s energy models.
State energy data report 1995 - consumption estimates
NONE
1997-12-01T23:59:59.000Z
The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public, and (2) to provide the historical series necessary for EIA`s energy models.
Estimating the uncertainty in underresolved nonlinear dynamics
Chorin, Alelxandre; Hald, Ole
2013-06-12T23:59:59.000Z
The Mori-Zwanzig formalism of statistical mechanics is used to estimate the uncertainty caused by underresolution in the solution of a nonlinear dynamical system. A general approach is outlined and applied to a simple example. The noise term that describes the uncertainty turns out to be neither Markovian nor Gaussian. It is argued that this is the general situation.
Parallel State Estimation Assessment with Practical Data
Chen, Yousu; Jin, Shuangshuang; Rice, Mark J.; Huang, Zhenyu
2014-10-31T23:59:59.000Z
This paper presents a full-cycle parallel state estimation (PSE) implementation using a preconditioned conjugate gradient algorithm. The developed code is able to solve large-size power system state estimation within 5 seconds using real-world data, comparable to the Supervisory Control And Data Acquisition (SCADA) rate. This achievement allows the operators to know the system status much faster to help improve grid reliability. Case study results of the Bonneville Power Administration (BPA) system with real measurements are presented. The benefits of fast state estimation are also discussed.
State energy data report 1996: Consumption estimates
NONE
1999-02-01T23:59:59.000Z
The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the Combined State Energy Data System (CSEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining CSEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. CSEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public and (2) to provide the historical series necessary for EIA`s energy models. To the degree possible, energy consumption has been assigned to five sectors: residential, commercial, industrial, transportation, and electric utility sectors. Fuels covered are coal, natural gas, petroleum, nuclear electric power, hydroelectric power, biomass, and other, defined as electric power generated from geothermal, wind, photovoltaic, and solar thermal energy. 322 tabs.
PMU Deployment for Optimal State Estimation Performance
Roy, Sumit
the observability of candidate deployments at each step and improves the convergence speed of the search. In [5PMU Deployment for Optimal State Estimation Performance Yue Yang, Student Member IEEE, and Sumit electronic devices (IED), that sense the grid state variables so as to support enhanced, real-time monitoring
Sub-Second Parallel State Estimation
Chen, Yousu; Rice, Mark J.; Glaesemann, Kurt R.; Wang, Shaobu; Huang, Zhenyu
2014-10-31T23:59:59.000Z
This report describes the performance of Pacific Northwest National Laboratory (PNNL) sub-second parallel state estimation (PSE) tool using the utility data from the Bonneville Power Administrative (BPA) and discusses the benefits of the fast computational speed for power system applications. The test data were provided by BPA. They are two-days’ worth of hourly snapshots that include power system data and measurement sets in a commercial tool format. These data are extracted out from the commercial tool box and fed into the PSE tool. With the help of advanced solvers, the PSE tool is able to solve each BPA hourly state estimation problem within one second, which is more than 10 times faster than today’s commercial tool. This improved computational performance can help increase the reliability value of state estimation in many aspects: (1) the shorter the time required for execution of state estimation, the more time remains for operators to take appropriate actions, and/or to apply automatic or manual corrective control actions. This increases the chances of arresting or mitigating the impact of cascading failures; (2) the SE can be executed multiple times within time allowance. Therefore, the robustness of SE can be enhanced by repeating the execution of the SE with adaptive adjustments, including removing bad data and/or adjusting different initial conditions to compute a better estimate within the same time as a traditional state estimator’s single estimate. There are other benefits with the sub-second SE, such as that the PSE results can potentially be used in local and/or wide-area automatic corrective control actions that are currently dependent on raw measurements to minimize the impact of bad measurements, and provides opportunities to enhance the power grid reliability and efficiency. PSE also can enable other advanced tools that rely on SE outputs and could be used to further improve operators’ actions and automated controls to mitigate effects of severe events on the grid. The power grid continues to grow and the number of measurements is increasing at an accelerated rate due to the variety of smart grid devices being introduced. A parallel state estimation implementation will have better performance than traditional, sequential state estimation by utilizing the power of high performance computing (HPC). This increased performance positions parallel state estimators as valuable tools for operating the increasingly more complex power grid.
State energy data report 1992: Consumption estimates
Not Available
1994-05-01T23:59:59.000Z
This is a report of energy consumption by state for the years 1960 to 1992. The report contains summaries of energy consumption for the US and by state, consumption by source, comparisons to other energy use reports, consumption by energy use sector, and describes the estimation methodologies used in the preparation of the report. Some years are not listed specifically although they are included in the summary of data.
Short communication Real-time estimation of lead-acid battery parameters: A dynamic
Ray, Asok
Short communication Real-time estimation of lead-acid battery parameters: A dynamic data of State of charge (SOC) and State of health (SOH) in lead-acid batteries. Algorithm development based Lead-acid battery Symbolic dynamic filtering k-NN regression a b s t r a c t This short paper presents
Estimated Water Flows in 2005: United States
Smith, C A; Belles, R D; Simon, A J
2011-03-16T23:59:59.000Z
Flow charts depicting water use in the United States have been constructed from publicly available data and estimates of water use patterns. Approximately 410,500 million gallons per day of water are managed throughout the United States for use in farming, power production, residential, commercial, and industrial applications. Water is obtained from four major resource classes: fresh surface-water, saline (ocean) surface-water, fresh groundwater and saline (brackish) groundwater. Water that is not consumed or evaporated during its use is returned to surface bodies of water. The flow patterns are represented in a compact 'visual atlas' of 52 state-level (all 50 states in addition to Puerto Rico and the Virgin Islands) and one national water flow chart representing a comprehensive systems view of national water resources, use, and disposition.
Parallel State Estimation Assessment with Practical Data
Chen, Yousu; Jin, Shuangshuang; Rice, Mark J.; Huang, Zhenyu
2013-07-31T23:59:59.000Z
This paper presents a parallel state estimation (PSE) implementation using a preconditioned gradient algorithm and an orthogonal decomposition-based algorithm. The preliminary tests against a commercial Energy Management System (EMS) State Estimation (SE) tool using real-world data are performed. The results show that while the precondition gradient algorithm can solve the SE problem quicker with the help of parallel computing techniques, it might not be good for real-world data due to the large condition number of gain matrix introduced by the wide range of measurement weights. With the help of PETSc package and considering one iteration of the SE process, the orthogonal decomposition-based PSE algorithm can achieve 5-20 times speedup comparing against the commercial EMS tool. It is very promising that the developed PSE can solve the SE problem for large power systems at the SCADA rate, to improve grid reliability.
Estimated United States Transportation Energy Use 2005
Smith, C A; Simon, A J; Belles, R D
2011-11-09T23:59:59.000Z
A flow chart depicting energy flow in the transportation sector of the United States economy in 2005 has been constructed from publicly available data and estimates of national energy use patterns. Approximately 31,000 trillion British Thermal Units (trBTUs) of energy were used throughout the United States in transportation activities. Vehicles used in these activities include automobiles, motorcycles, trucks, buses, airplanes, rail, and ships. The transportation sector is powered primarily by petroleum-derived fuels (gasoline, diesel and jet fuel). Biomass-derived fuels, electricity and natural gas-derived fuels are also used. The flow patterns represent a comprehensive systems view of energy used within the transportation sector.
Communication Capacity Requirement for Reliable and Secure State Estimation in Smart Grid
Qiu, Robert Caiming
1 Communication Capacity Requirement for Reliable and Secure State Estimation in Smart Grid Husheng, Cookeville, TN Abstract-- Secure system state estimation is an important issue in smart grid to assure the information the- oretic perspective. The smart grid is modeled as a linear dynamic system. Then, the channel
Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
resource, the authors of this study employed a dynamic down scaling method with the Weather Research and Forecasting model, providing detailed estimates of winds at...
Wind field estimation for autonomous dynamic soaring Jack W. Langelaan
Spletzer, John R.
Wind field estimation for autonomous dynamic soaring Jack W. Langelaan Aerospace Engineering, Penn for distributed parameter estimation of a previously unknown wind field is described. The application is dynamic parameterization of the wind field is used, allowing implementation of a linear Kalman filter for parameter
Dynamic Bayesian Networks model to estimate process availability.
Paris-Sud XI, Université de
Dynamic Bayesian Networks model to estimate process availability. Weber P. Centre de Recherche en reported here explores a new methodology to develop Dynamic Bayesian Network-based Availability of the system availability estimation comparing DBN model with the classical Markov chain model. Keywords
Numerical Estimation of Frictional Torques with Rate and State Friction
Arun K. Singh; T. N. Singh
2015-01-20T23:59:59.000Z
In this paper, numerical estimation of frictional torques is carried out of a rotary elastic disc on a hard and rough surface under different rotating conditions. A one dimensional spring- mass rotary system is numerically solved under the quasistatic condition with the rate and state dependent friction model. It is established that torque of frictional strength as well as torque of steady dynamic stress increases with radius and found to be maximum at the periphery of the disc. Torque corresponding to frictional strength estimated using the analytical solution matches closely with the simulation only in the case of high stiffness of the connecting spring. In steady relaxation simulation, a steadily rotating disc is suddenly stopped and relaxational angular velocity and corresponding frictional torque decreases with both steady angular velocity and stiffness of the connecting spring in the velocity strengthening regime. In velocity weakening regime, in contrast, torque of relaxation stress deceases but relaxation velocity increases. The reason for the contradiction is explained.
Short communication Real-time estimation of lead-acid battery parameters: A dynamic
Ray, Asok
Short communication Real-time estimation of lead-acid battery parameters: A dynamic data-driven approach Yue Li, Zheng Shen, Asok Ray* , Christopher D. Rahn Department of Mechanical and Nuclear of State of charge (SOC) and State of health (SOH) in lead-acid batteries. Algorithm development based
Back-and-forth Operation of State Observers and Norm Estimation of Estimation Error
Back-and-forth Operation of State Observers and Norm Estimation of Estimation Error Hyungbo Shim with the plant, this paper proposes a state estimation algorithm that executes Luenberger observers in a back in the past have employed time-varying gains to over- come this problem [1], where the basic idea is to obtain
Dynamic Solid State Lighting Matthew Aldrich
-based lighting network. This thesis presents a first-of-its-kind pentachromatic LED-based lighting networkDynamic Solid State Lighting by Matthew Aldrich B.S., Electrical Engineering Yale University, 2004 Head Program in Media Arts and Sciences #12;2 #12;Dynamic Solid State Lighting by Matthew Aldrich
Quantum phase estimation using a multi-headed cat state
Su-Yong Lee; Chang-Woo Lee; Hyunchul Nha; Dagomir Kaszlikowski
2015-05-16T23:59:59.000Z
It was recently shown that an entangled coherent state, which is a superposition of two different coherent states, can surpass the performance of noon state in estimating an unknown phase-shift. This may hint at further enhancement in phase estimation by incorporating more component states in the superposition of resource state. We here introduce a four-headed cat state (4HCS), a superposition of four different coherent states, and propose its application to quantum phase estimation. We demonstrate the enhanced performance in phase estimation by employing an entangled state via the 4HCS, which can surpass that of the two-headed cat state (2HCS), particularly in the regime of small average photon numbers. Moreover, we show that an entangled state modified from the 4HCS can further enhance the phase estimation, even in the regime of large average photon number under a photon-loss channel. Our investigation further extends to incorporate an increasingly large number of component states in the resource superposition state and clearly show its merit in phase estimation.
A Dynamic Programming Approach to Estimate the Capacity Value of Energy Storage
Broader source: Energy.gov [DOE]
We present a method to estimate the capacity value of storage. Our method uses a dynamic program to model the effect of power system outages on the operation and state of charge of storage in subsequent periods. We combine the optimized dispatch from the dynamic program with estimated system loss of load probabilities to compute a probability distribution for the state of charge of storage in each period. This probability distribution can be used as a forced outage rate for storage in standard reliability-based capacity value estimation methods. Our proposed method has the advantage over existing approximations that it explicitly captures the effect of system shortage events on the state of charge of storage in subsequent periods. We also use a numerical case study, based on five utility systems in the U.S., to demonstrate our technique and compare it to existing approximation methods.
Guaranteed state estimation by zonotopes for systems with interval uncertainties
Damm, Werner
. Stoica T. Alamo E.F. Camacho D. Dumur This talk focuses on guaranteed state estimation by zonotopes [1 example. References [1] T. Alamo, J.M. Bravo, and E.F. Camacho. Guaranteed state estimation by zonotopes. Automatica, 41:10351043, 2005. [2] V.T.H. Le, T. Alamo, E.F. Camacho, C. Stoica, and D. Dumur. A new
Equilibrium free energy estimates based on nonequilibrium work relations and extended dynamics
Sun, Sean
Equilibrium free energy estimates based on nonequilibrium work relations and extended dynamics the equilibrium free energy and the nonequilibrium work is useful for computer simulations. In this paper, we exploit the fact that the free energy is a state function, independent of the pathway taken to change
Lin, Pei-Chun
Estimation in a Hexapod Robot With Dynamical Gaits Pei-Chun Lin, Member, IEEE, Haldun Komsuo¯glu, Member state estimator for a hexapod robot executing a jogging gait in steady state on level terrain of the hexapod robot RHex (bearing the appropriate sensor suite) and evaluate its performance with reference
Evaluation of mutual information estimators on nonlinear dynamic systems
A. Papana; D. Kugiumtzis
2008-09-12T23:59:59.000Z
Mutual information is a nonlinear measure used in time series analysis in order to measure the linear and non-linear correlations at any lag $\\tau$. The aim of this study is to evaluate some of the most commonly used mutual information estimators, i.e. estimators based on histograms (with fixed or adaptive bin size), $k$-nearest neighbors and kernels. We assess the accuracy of the estimators by Monte-Carlo simulations on time series from nonlinear dynamical systems of varying complexity. As the true mutual information is generally unknown, we investigate the existence and rate of consistency of the estimators (convergence to a stable value with the increase of time series length), and the degree of deviation among the estimators. The results show that the $k$-nearest neighbor estimator is the most stable and less affected by the method-specific parameter.
SWOT Satellite Mission: Combined State Parameter Estimation
Washington at Seattle, University of
-parameter estimation problem Data assimilation experiments Water depth Discharge Channel width Roughness coefficient #12;3 Need for a surface water mission Importance to hydrology gauge measurements insufficient hydraulics Amazon Siberia Ohio #12;4 Global gauge measurements #12;5 SWOT Technology These surface water
Dynamics of Noncommutative Solitons I: Spectral Theory and Dispersive Estimates
August J. Krueger; Avy Soffer
2014-11-16T23:59:59.000Z
We consider the Schr\\"odinger equation with a Hamiltonian given by a second order difference operator with nonconstant growing coefficients, on the half one dimensional lattice. This operator appeared first naturally in the construction and dynamics of noncommutative solitons in the context of noncommutative field theory. We prove pointwise in time decay estimates, with the optimal decay rate $t^{-1}\\log^{-2}t$ generically. We use a novel technique involving generating functions of orthogonal polynomials to achieve this estimate.
State-to-state dynamics of molecular energy transfer
Gentry, W.R.; Giese, C.F. [Univ. of Minnesota, Minneapolis (United States)
1993-12-01T23:59:59.000Z
The goal of this research program is to elucidate the elementary dynamical mechanisms of vibrational and rotational energy transfer between molecules, at a quantum-state resolved level of detail. Molecular beam techniques are used to isolate individual molecular collisions, and to control the kinetic energy of collision. Lasers are used both to prepare specific quantum states prior to collision by stimulated-emission pumping (SEP), and to measure the distribution of quantum states in the collision products by laser-induced fluorescence (LIF). The results are interpreted in terms of dynamical models, which may be cast in a classical, semiclassical or quantum mechanical framework, as appropriate.
Dynamical States in Driven Colloidal Liquid Crystals
Ellen Fischermeier; Matthieu Marechal; Klaus Mecke
2014-09-24T23:59:59.000Z
We study a model colloidal liquid crystal consisting of hard spherocylinders under the influence of an external aligning potential by Langevin dynamics simulation. The external field that rotates in a plane acts on the orientation of the individual particles and induces a variety of collective nonequilibrium states. We characterize these states by the time-resolved orientational distribution of the particles and explain their origin using the single particle behavior. By varying the external driving frequency and the packing fraction of the spherocylinders we construct the dynamical state diagram.
Electric Grid State Estimators for Distribution Systems with Microgrids
Gupta, Vijay
Electric Grid State Estimators for Distribution Systems with Microgrids Jing Huang, Vijay Gupta and Yih-Fang Huang Department of Electrical Engineering University of Notre Dame, Notre Dame, Indiana 46556 Emails: {jhuang6,vgupta2,huang}@nd.edu Abstract--In the development of smart grid, state
Improved measurement placement and topology processing in power system state estimation
Wu, Yang
2009-06-02T23:59:59.000Z
State estimation plays an important role in modern power system energy management systems. The network observability is a pre-requisite for the state estimation solution. Topological error in the network may cause the state estimation results...
Dynamics of Noncommutative Solitons II: Spectral Theory, Dispersive Estimates and Stability
August J. Krueger; Avy Soffer
2014-11-21T23:59:59.000Z
We consider the Schr\\"odinger equation with a (matrix) Hamiltonian given by a second order difference operator with nonconstant growing coefficients, on the half one dimensional lattice. This operator appeared first naturally in the construction and dynamics of noncommutative solitons in the context of noncommutative field theory. We completely determine the spectrum of the Hamiltonian linearized around a ground state soliton and prove the optimal decay rate of $t^{-1}\\log^{-2}t$ for the associated time decay estimate. We use a novel technique involving generating functions of orthogonal polynomials to achieve this estimate.
Current (2009) State-of-the-Art Hydrogen Production Cost Estimate...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water Electrolysis Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water...
UNSCENTED KALMAN FILTERING FOR SPACECRAFT ATTITUDE STATE AND PARAMETER ESTIMATION
Hall, Christopher D.
AAS-04-115 UNSCENTED KALMAN FILTERING FOR SPACECRAFT ATTITUDE STATE AND PARAMETER ESTIMATION Matthew C. VanDyke , Jana L. Schwartz , Christopher D. Hall An Unscented Kalman Filter (UKF) is derived with an Extended Kalman Filter (EKF). The EKF is an extension of the linear Kalman Filter for nonlinear systems
Estimation of steady-state basic parameters of stars
B. V. Vasiliev
2000-03-30T23:59:59.000Z
From a minimum of total energy of celestial bodies, their basic parameters are obtained. The steady-state values of the mass, radius, and temperature of stars and white dwarfs, as well as masses of pulsars are calculated. The luminosity and giromagnetic ratio of celestial bodies are estimated. All the obtained values are in a satisfactory agreement with observation data.
Phasor Measurement Unit Data in Power System State Estimation
Phasor Measurement Unit Data in Power System State Estimation Intermediate Project Report Power Center since 1996 PSERC #12;Power Systems Engineering Research Center Phasor Measurement Unit Data deals with the placement of phasor measurement units (PMUs) based on the improvement in error
OPTIMAL PLACEMENT AND UTILIZATION OF PHASOR MEASUREMENTS FOR STATE ESTIMATION
measurement unit (PMU). Buses with zero and non- zero injections, and branches with power flow measure- ments simulations. Keywords: State estimation, phasor measurement units, network observability, optimal meter to the development of phasor measurement units (PMU). As the PMUs become more and more afford- able
Optimal Estimation of States in Quantum Image Processing
Mario Mastriani
2014-06-19T23:59:59.000Z
An optimal estimator of quantum states based on a modified Kalman Filter is presented in this work. Such estimator acts after state measurement, allowing to obtain an optimal estimation of quantum state resulting in the output of any quantum image algorithm. Besides, a new criteria, logic, and arithmetic based on projections onto vertical axis of Bloch Sphere exclusively are presented too. This approach will allow us: 1) a simpler development of logic and arithmetic quantum operations, where they will closer to those used in the classical digital image processing algorithms, 2) building simple and robust classical-to-quantum and quantum-to-classical interfaces. Said so far is extended to quantum algorithms outside image processing too. In a special section on metrics and simulations, three new metrics based on the comparison between the classical and quantum versions algorithms for filtering and edge detection of images are presented. Notable differences between the results of classical and quantum versions of such algorithms (outside and inside of quantum computer, respectively) show the need for modeling state and measurement noise inside estimation scheme.
The Lithium-Ion Cell: Model, State Of Charge Estimation
Schenato, Luca
. Di Domenico, A. Stefanopoulou, and G. Fiengo., Reduced Order Lithium-ion Battery Electrochemical+ontestresultsIncreasingamplitudeHPPCprofiles #12;LithiumionbaEery:ExtendedKalmanFilter cs cse I V Lithium-ion battery EKF. Stefanopoulou, and G. Fiengo., Experimental Validation of a Lithium-Ion Battery State of Charge Estimation
Multiple phase estimation for arbitrary pure states under white noise
Yao Yao; Li Ge; Xing Xiao; Xiaoguang Wang; C. P. Sun
2014-09-08T23:59:59.000Z
In any realistic quantum metrology scenarios, the ultimate precision in the estimation of parameters is limited not only by the so-called Heisenberg scaling, but also the environmental noise encountered by the underlying system. In the context of quantum estimation theory, it is of great significance to carefully evaluate the impact of a specific type of noise on the corresponding quantum Fisher information (QFI) or quantum Fisher information matrix (QFIM). Here we investigate the multiple phase estimation problem for a natural parametrization of arbitrary pure states under white noise. We obtain the explicit expression of the symmetric logarithmic derivative (SLD) and hence the analytical formula of QFIM. Moreover, the attainability of the quantum Cram\\'{e}r-Rao bound (QCRB) is confirmed by the commutability of SLDs and the optimal estimators are elucidated for the experimental purpose. These findings generalize previously known partial results and highlight the role of white noise in quantum metrology.
A Two-Stage Kalman Filter Approach for Robust and Real-Time Power System State Estimation
Zhang, Jinghe; Welch, Greg; Bishop, Gary; Huang, Zhenyu
2014-04-01T23:59:59.000Z
As electricity demand continues to grow and renewable energy increases its penetration in the power grid, realtime state estimation becomes essential for system monitoring and control. Recent development in phasor technology makes it possible with high-speed time-synchronized data provided by Phasor Measurement Units (PMU). In this paper we present a two-stage Kalman filter approach to estimate the static state of voltage magnitudes and phase angles, as well as the dynamic state of generator rotor angles and speeds. Kalman filters achieve optimal performance only when the system noise characteristics have known statistical properties (zero-mean, Gaussian, and spectrally white). However in practice the process and measurement noise models are usually difficult to obtain. Thus we have developed the Adaptive Kalman Filter with Inflatable Noise Variances (AKF with InNoVa), an algorithm that can efficiently identify and reduce the impact of incorrect system modeling and/or erroneous measurements. In stage one, we estimate the static state from raw PMU measurements using the AKF with InNoVa; then in stage two, the estimated static state is fed into an extended Kalman filter to estimate the dynamic state. Simulations demonstrate its robustness to sudden changes of system dynamics and erroneous measurements.
Freeman, Matthew A
2006-10-30T23:59:59.000Z
investigates the benefits that stem from utilizing a multi-area state estimator instead of a serial state estimator. These benefits are largely in the form of increased accuracy and decreased processing time. First, the theory behind power system state...
Freeman, Matthew A
2006-10-30T23:59:59.000Z
investigates the benefits that stem from utilizing a multi-area state estimator instead of a serial state estimator. These benefits are largely in the form of increased accuracy and decreased processing time. First, the theory behind power system state...
Estimated Carbon Dioxide Emissions in 2008: United States
Smith, C A; Simon, A J; Belles, R D
2011-04-01T23:59:59.000Z
Flow charts depicting carbon dioxide emissions in the United States have been constructed from publicly available data and estimates of state-level energy use patterns. Approximately 5,800 million metric tons of carbon dioxide were emitted throughout the United States for use in power production, residential, commercial, industrial, and transportation applications in 2008. Carbon dioxide is emitted from the use of three major energy resources: natural gas, coal, and petroleum. The flow patterns are represented in a compact 'visual atlas' of 52 state-level (all 50 states, the District of Columbia, and one national) carbon dioxide flow charts representing a comprehensive systems view of national CO{sub 2} emissions. Lawrence Livermore National Lab (LLNL) has published flow charts (also referred to as 'Sankey Diagrams') of important national commodities since the early 1970s. The most widely recognized of these charts is the U.S. energy flow chart (http://flowcharts.llnl.gov). LLNL has also published charts depicting carbon (or carbon dioxide potential) flow and water flow at the national level as well as energy, carbon, and water flows at the international, state, municipal, and organizational (i.e. United States Air Force) level. Flow charts are valuable as single-page references that contain quantitative data about resource, commodity, and byproduct flows in a graphical form that also convey structural information about the system that manages those flows. Data on carbon dioxide emissions from the energy sector are reported on a national level. Because carbon dioxide emissions are not reported for individual states, the carbon dioxide emissions are estimated using published energy use information. Data on energy use is compiled by the U.S. Department of Energy's Energy Information Administration (U.S. EIA) in the State Energy Data System (SEDS). SEDS is updated annually and reports data from 2 years prior to the year of the update. SEDS contains data on primary resource consumption, electricity generation, and energy consumption within each economic sector. Flow charts of state-level energy usage and explanations of the calculations and assumptions utilized can be found at: http://flowcharts.llnl.gov. This information is translated into carbon dioxide emissions using ratios of carbon dioxide emissions to energy use calculated from national carbon dioxide emissions and national energy use quantities for each particular sector. These statistics are reported annually in the U.S. EIA's Annual Energy Review. Data for 2008 (US. EIA, 2010) was updated in August of 2010. This is the first presentation of a comprehensive state-level package of flow charts depicting carbon dioxide emissions for the United States.
Griffith, Daniel Todd
2005-02-17T23:59:59.000Z
The main objective of this work is to demonstrate some new computational methods for estimation, optimization and modeling of dynamical systems that use automatic differentiation. Particular focus will be upon dynamical ...
State Estimation for Force-Controlled Humanoid Balance using Simple Models in the Presence-based control frameworks, such as model predictive control (MPC), use the expected dynamics to generate that requires active balance control in the presence of modeling error. Primus humanoid shown in Figure 1
Deshmukh, Venkatesh
Dynamical Systems Venkatesh Deshmukh Center for Nonlinear Dynamics and Control Department of Mechanical dynamic system models to be constructed from available data. The parameters to be estimated are assumed in the dynamic system models are assumed to have a known form, and the models are assumed to be parameter affine
Estimated United States Residential Energy Use in 2005
Smith, C A; Johnson, D M; Simon, A J; Belles, R D
2011-12-12T23:59:59.000Z
A flow chart depicting energy flow in the residential sector of the United States economy in 2005 has been constructed from publicly available data and estimates of national energy use patterns. Approximately 11,000 trillion British Thermal Units (trBTUs) of electricity and fuels were used throughout the United States residential sector in lighting, electronics, air conditioning, space heating, water heating, washing appliances, cooking appliances, refrigerators, and other appliances. The residential sector is powered mainly by electricity and natural gas. Other fuels used include petroleum products (fuel oil, liquefied petroleum gas and kerosene), biomass (wood), and on-premises solar, wind, and geothermal energy. The flow patterns represent a comprehensive systems view of energy used within the residential sector.
Measurement calibration/tuning & topology processing in power system state estimation
Zhong, Shan
2005-02-17T23:59:59.000Z
State estimation plays an important role in modern power systems. The errors in the telemetered measurements and the connectivity information of the network will greatly contaminate the estimated system state. This dissertation provides solutions...
Zhe An; Daniel Rey; Henry D. I. Abarbanel
2014-05-11T23:59:59.000Z
Utilizing the information in observations of a complex system to make accurate predictions through a quantitative model when observations are completed at time $T$, requires an accurate estimate of the full state of the model at time $T$. When the number of measurements $L$ at each observation time within the observation window is larger than a sufficient minimum value $L_s$, the impediments in the estimation procedure are removed. As the number of available observations is typically such that $L \\ll L_s$, additional information from the observations must be presented to the model. We show how, using the time delays of the measurements at each observation time, one can augment the information transferred from the data to the model, removing the impediments to accurate estimation and permitting dependable prediction. We do this in a core geophysical fluid dynamics model, the shallow water equations, at the heart of numerical weather prediction. The method is quite general, however, and can be utilized in the analysis of a broad spectrum of complex systems where measurements are sparse. When the model of the complex system has errors, the method still enables accurate estimation of the state of the model and thus evaluation of the model errors in a manner separated from uncertainties in the data assimilation procedure.
Estimating Wind Turbine Parameters and Quantifying Their Effects on Dynamic Behavior
Hiskens, Ian A.
1 Estimating Wind Turbine Parameters and Quantifying Their Effects on Dynamic Behavior Jonathan variable-speed wind turbines in grid stability studies. Often the values for model parameters are poorly parameters on the dynamic behavior of wind turbine generators. A parameter estimation process is then used
Chen Lin [Centre for Quantum Technologies, National University of Singapore, Singapore 117543 (Singapore); Zhu Huangjun [Centre for Quantum Technologies, National University of Singapore, Singapore 117543 (Singapore); Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore 117597 (Singapore); Wei, Tzu-Chieh [Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, V6T 1Z1 (Canada)
2011-01-15T23:59:59.000Z
We study the geometric measure of entanglement (GM) of pure symmetric states related to rank 1 positive-operator-valued measures (POVMs) and establish a general connection with quantum state estimation theory, especially the maximum likelihood principle. Based on this connection, we provide a method for computing the GM of these states and demonstrate its additivity property under certain conditions. In particular, we prove the additivity of the GM of pure symmetric multiqubit states whose Majorana points under Majorana representation are distributed within a half sphere, including all pure symmetric three-qubit states. We then introduce a family of symmetric states that are generated from mutually unbiased bases and derive an analytical formula for their GM. These states include Dicke states as special cases, which have already been realized in experiments. We also derive the GM of symmetric states generated from symmetric informationally complete POVMs (SIC POVMs) and use it to characterize all inequivalent SIC POVMs in three-dimensional Hilbert space that are covariant with respect to the Heisenberg-Weyl group. Finally, we describe an experimental scheme for creating the symmetric multiqubit states studied in this article and a possible scheme for measuring the permanence of the related Gram matrix.
J2.5 ADDRESSING WIND DIRECTION UNCERTAINTY IN SOURCE ESTIMATION THROUGH DYNAMIC TIME WARPING
Lin, Jessica
J2.5 ADDRESSING WIND DIRECTION UNCERTAINTY IN SOURCE ESTIMATION THROUGH DYNAMIC TIME WARPING G score. The correct wind direction is paramount to source estimation problems. It was observed that errors in wind direction of only a few degrees drastically worsen the source estimation. Even when
Load estimation and control using learned dynamics models Georgios Petkos and Sethu Vijayakumar
Vijayakumar, Sethu
Load estimation and control using learned dynamics models Georgios Petkos and Sethu Vijayakumar with their robustness in light of imperfect, intermediate dynamic models. I. INTRODUCTION Adaptive control the learned dynamics for control. In Section IV, we see how from a set of learned models with known inertial
Estimation of parameters governing the transmission dynamics of ...
disease dynamics and potentially valuable information for health care providers. REFERENCES. 1. A.C.P. Ross et al., Schistosomiasis, N. Engl. J. Med. 346 ...
Estimation of AUV dynamics for sensor fusion Kjell Magne Fauske
Gustafsson, Fredrik
are instrumental for model-based control system design, but also for integrated navigation systems. We motive our is used in control design [3]. The steering dynamics is the most crucial part, since depth is measured, Norway Email: hegrenas@unik.no Abstract--This contribution presents a method to identify dynamic models
Hierarchical models for estimating state and demographic trends in U.S. death penalty public opinion
Gelman, Andrew
Hierarchical models for estimating state and demographic trends in U.S. death penalty public?" Because the death penalty is governed by state laws rather than federal laws, it is of special interest logistic regression model to estimate support for the death penalty as a function of the year, the state
Sukhatme, Gaurav S.
State Estimation of an Autonomous Helicopter Using Kalman Filtering Myungsoo Juny, Stergios I the state of a robot helicopter using a combina- tion of gyroscopes, accelerometers, inclinometers and GPS modeling. The number of estimated states of helicopter is nine : three attitudes( ) from the gyroscopes
Heterophase liquid states: Thermodynamics, structure, dynamics
A. S. Bakai
2015-01-12T23:59:59.000Z
An overview of theoretical results and experimental data on the thermodynamics, structure and dynamics of the heterophase glass-forming liquids is presented. The theoretical approach is based on the mesoscopic heterophase fluctuations model (HPFM) developed within the framework of the bounded partition function approach. The Fischer cluster phenomenon, glass transition, liquid-liquid transformations, parametric phase diagram, cooperative dynamics and fragility of the glass-forming liquids is considered.
Entanglement dynamics of quantum states in a beam splitter
M. Rohith; R. Rajeev; C. Sudheesh
2015-05-11T23:59:59.000Z
We theoretically study the dynamics of entangled states created in a beam splitter with a nonlinear Kerr medium placed into one input arm. Entanglement dynamics of initial classical and nonclassical states are studied and compared. Signatures of revival and fractional revival phenomena exhibited during the time evolution of states in the Kerr medium are captured in the entangled states produced by the beam splitter. Maximum entanglement is obtained at the instants of collapses of wave packets in the medium. Our analysis shows increase in entanglement with increase in the degree of nonclassicality of the initial states considered. We show that the states generated at the output of the beam splitter using initial nonclassical states are more robust against decoherence, due to photon absorption by an environment, than those formed by an initial classical state.
Chaotic Dynamics in Multidimensional Transition States Ali Allahem1, a)
Chaotic Dynamics in Multidimensional Transition States Ali Allahem1, a) and Thomas Bartsch1, b consequences of normal hyperbolicity20,21 : a)Electronic mail: a.allahem@lboro.ac.uk b)Electronic mail: t.bartsch
ChurnDetect: A Gossip-based Churn Estimator for Large-Scale Dynamic Networks
Langendoen, Koen
ChurnDetect: A Gossip-based Churn Estimator for Large-Scale Dynamic Networks Andrei Pruteanu1 computations, such as online detection of network churn, via distributed, robust and scalable algorithms. In this paper we introduce the ChurnDetect algorithm, a novel solution to the distributed churn estimation
Optimal PMU Placement Evaluation for Power System Dynamic State Estimation
Pollefeys, Marc
--The synchronized phasor measurement unit (PMU), developed in the 1980s, is considered to be one of the most of clock synchronization via the global positioning system (GPS), phasor measurement units (PMU), which of measurement precision that typically exceeds conventional measurement units. As such the PMU has been
Numerically Estimating Internal Models of Dynamic Virtual Objects
Sekuler, Robert
human subjects to manipulate a computer-animated virtual object. This virtual object (vO) was a high, human cognition, human information processing, ideal performer, internal model, virtual object, virtual, specifically how humans acquire an internal model of a dynamic virtual object. Our methodology minimizes
Embedded avionics with Kalman state estimation for a novel micro-scale unmanned aerial vehicle
Tzanetos, Theodore
2013-01-01T23:59:59.000Z
An inertial navigation system leveraging Kalman estimation techniques and quaternion dynamics is developed for deployment to a micro-scale unmanned aerial vehicle (UAV). The capabilities, limitations, and requirements of ...
Direct Molecular Dynamics Observation of Protein Folding Transition State Ensemble
Stanley, H. Eugene
Direct Molecular Dynamics Observation of Protein Folding Transition State Ensemble Feng Ding for the interpretation of experimental results and understanding of protein folding mechanics, which has at- tracted, 1999; Guerois and Serrano, 2000) have been proposed to predict the transition states in protein folding
ON THE STATE AGREEMENT PROBLEM FOR MULTIPLE NONLINEAR DYNAMICAL
Maggiore, Manfredi
agreement problem of continuous time nonlinear interconnected systems, which can de- scribe a numberON THE STATE AGREEMENT PROBLEM FOR MULTIPLE NONLINEAR DYNAMICAL SYSTEMS Zhiyun Lin, Bruce Francis, ON Canada M5S 3G4 Abstract: This paper studies the state agreement problem with the objective to ensure
Optimized dynamical control of state transfer through noisy spin chains
Analia Zwick; Gonzalo A. Alvarez; Guy Bensky; Gershon Kurizki
2015-01-09T23:59:59.000Z
We propose a method of optimally controlling the tradeoff of speed and fidelity of state transfer through a noisy quantum channel (spin-chain). This process is treated as qubit state-transfer through a fermionic bath. We show that dynamical modulation of the boundary-qubits levels can ensure state transfer with the best tradeoff of speed and fidelity. This is achievable by dynamically optimizing the transmission spectrum of the channel. The resulting optimal control is robust against both static and fluctuating noise in the channel's spin-spin couplings. It may also facilitate transfer in the presence of diagonal disorder (on site energy noise) in the channel.
A Survey of State-Level Cost and Benefit Estimates of Renewable Portfolio Standards
Broader source: Energy.gov [DOE]
This report surveys and summarizes existing state-level RPS cost and benefit estimates and examines the various methods used to calculate such estimates. The report relies largely upon data or results reported directly by electric utilities and state regulators. As such, the estimated costs and benefits itemized in this document do not result from the application of a standardized approach or the use of a consistent set of underlying assumptions. Because the reported values may differ from those derived through a more consistent analytical treatment, we do not provide an aggregate national estimate of RPS costs and benefits, nor do we attempt to quantify net RPS benefits at national or state levels.
Trust-aware State Estimation Under False Data Injection in Distributed Sensor Networks
Baras, John S.
1 Trust-aware State Estimation Under False Data Injection in Distributed Sensor Networks Shanshan of nodes and the volatility of the network. In this paper, we focus on robust distributed state estimation Engineering University of Maryland, College Park, MD, 20742 Email: {sszheng,tjiang,baras}@umd.edu Abstract--Distributed
Baldick, Ross
) and the Southwest Power Pool (SPP) systems. I. INTRODUCTION TO HOST SCADA and Energy Management System soft- ware1240 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 15, NO. 4, NOVEMBER 2000 State Estimation Distributed- rithm to Power Systems State Estimation. We apply the Auxiliary Problem Principle to develop
False Data Injection Attacks against State Estimation in Electric Power Grids
Ning, Peng
False Data Injection Attacks against State Estimation in Electric Power Grids Yao Liu and Peng Ning A power grid is a complex system connecting electric power generators to consumers through power of attacks, called false data injection attacks, against state estimation in electric power grids. Under
Tests of the impact of assimilation of surface data on ocean state estimates
Kurapov, Alexander
Tests of the impact of assimilation of surface data on ocean state estimates The coastal ocean. The relative impact of these data on the ocean state estimate has been evaluated. Accurate prediction of the front location is important to fisheries. Prediction and forecasting of surface currents would
Nonparametric estimation of varying coefficient dynamic panel models
Cai, Zongwu; Li, Qi
2008-10-01T23:59:59.000Z
#2; m2 because the number of parameters in ~6! is m2+ However, when m1 #7; m2, the model is overidentified, and there may not exist a unique a to satisfy ~6!+ To obtain a unique a satisfy- ing ~6!, we premultiply ~6! by an m2 #3; m1 matrix Sn' , where... with Qit #1; Q~Vit ! and n #1; NT, Sn #1; 1 n #6; i#1;1 N #6; t#1;1 T QitUit' Kh~Zit #5; z!+ Then solving for a we obtain [a #1; ~Sn' Sn !#5;1Sn' Tn , (7) where Tn #1; 1 n #6; i#1;1 N #6; t#1;1 T Qit Kh~Zit #5; z!Yit + The estimator [a defined in ~7...
Load Modeling and State Estimation Methods for Power Distribution Systems: Final Report
Tom McDermott
2010-05-07T23:59:59.000Z
The project objective was to provide robust state estimation for distribution systems, comparable to what has been available on transmission systems for decades. This project used an algorithm called Branch Current State Estimation (BCSE), which is more effective than classical methods because it decouples the three phases of a distribution system, and uses branch current instead of node voltage as a state variable, which is a better match to current measurement.
Universal dynamical decoupling of multiqubit states from environment
Liang Jiang; Adilet Imambekov
2011-12-29T23:59:59.000Z
We study the dynamical decoupling of multiqubit states from environment. For a system of m qubits, the nested Uhrig dynamical decoupling (NUDD) sequence can efficiently suppress generic decoherence induced by system-environment interaction to order N using (N+1)^2m pulses. We prove that the NUDD sequence is universal, i.e., it can restore the coherence of m-qubit quantum system independent of the details of system-environment interaction. We also construct a general mapping between dynamical decoupling problems and discrete quantum walks in certain functional spaces.
Some computational aspects of multi-state dynamic programming
Gray, Albert Glen
1970-01-01T23:59:59.000Z
1970 ABSTRACT Some Computational Aspects of Multi-State Dynam1c Progrsmm1ng. (January 1970) Albert G. Gray, B. S. , University of Houston Directed by: Dr. W. L. Neier, Jr. Dynamic programming always has been haunted by the curse of state dimens1... results of a computational comparison of the two approaches along with a discuss1on of the merits of each. A computer code was developed for each in PORTRAN IV and run on the IBM 360/65. An example problem is presented which illustrates the accuracy...
Lundquist, J. K.; Pukayastha, A.; St. Martin, C.; Newsom, R.
2014-03-01T23:59:59.000Z
Previous estimates of the wind resources in Uttarakhand, India, suggest minimal wind resources in this region. To explore whether or not the complex terrain in fact provides localized regions of wind resource, the authors of this study employed a dynamic down scaling method with the Weather Research and Forecasting model, providing detailed estimates of winds at approximately 1 km resolution in the finest nested simulation.
Improved estimates of the total correlation energy in the ground state of the water molecule
Anderson, James B.
Improved estimates of the total correlation energy in the ground state of the water molecule Arne calculations of the electronic energy of the ground state of the water molecule yield energies lower than those for the electronic energy of the ground state of the water molecule. The energy given by a fixed-node quantum Monte
Solid-State NMR Investigation of Block Copolymer Electrolyte Dynamics
Sadoway, Donald Robert
Solid-State NMR Investigation of Block Copolymer Electrolyte Dynamics D. J. Harris,*, T. J in solid polymer electrolytes. The electrolytic properties of lithium salt-doped poly(ethyl- ene oxide- vored candidates for polymer electrolytes.1,2 Some of the primary applications for polymer electrolyte
Coupling remote sensing with computational fluid dynamics modelling to estimate lake chlorophyll form 17 October 2000; accepted 1 June 2001 Abstract A remotely sensed image of Loch Leven, a shallow in the remotely sensed image. It is proposed that CFD modelling benefits the interpretation of remotely sensed
Cerf, Nicolas
Superiority of Entangled Measurements over All Local Strategies for the Estimation of Product discrimination of product states via entangled measurements was verified experimentally only very recently measurement than with any local strategy supplemented by classical communication. Although this ensemble
Efficient Hydraulic State Estimation Technique Using Reduced Models of Urban Water Networks
Preis, Ami
This paper describes and demonstrates an efficient method for online hydraulic state estimation in urban water networks. The proposed method employs an online predictor-corrector (PC) procedure for forecasting future water ...
Measurement calibration/tuning & topology processing in power system state estimation
Zhong, Shan
2005-02-17T23:59:59.000Z
[4], [11] and they are successfully utilized. However, the conventional state estimators are still vulnerable to errors in the topology of the system, which show up when the assumed status of the circuit breakers and switches do not coincide...
1 N. Logic, E. Kyriakides, G. T. Heydt, "Lp State Estimators for Power Systems," N. Logic, E. Kyriakides, G. T. Heydt, "Lp state estimators for power systems," Journal of Electric Power Components and Systems, accepted for publication, 2002. #12;2 Lp State Estimators for Power Systems N. Logic E
Estimated Benefits of IBWC Rio Grande Flood-Control Projects in the United States
Sturdivant, Allen W.; Lacewell, Ronald D.; Michelsen, Ari M.; Rister, M. Edward; Assadian, Naomi; Eriksson, Marian; Freeman, Roger; Jacobs, Jennifer H.; Madison, W. Tom; McGuckin, James T.; Morrison, Wendy; Robinson, John R.C.; Staats, Chris; Sheng, Zhuping; Srinivasan, R.; Villalobos, Joshua I.
TR- 275 2004 Estimated Benefits of IBWC Rio Grande Flood-Control Projects in the United States Allen W. Sturdivant Ronald D. Lacewell Ari M. Michelsen M. Edward Rister Naomi Assadian Marian Eriksson Roger Freeman Jennifer H... A&M University System Texas Water Resources Institute Report: TR-275 Estimated Benefits of IBWC Rio Grande Flood-Control Projects in the United States Texas Water Resources Institute Report: TR-275 This research was supported by a cooperative...
Yoon, Yeo Jun
2006-04-12T23:59:59.000Z
This thesis will investigate the impact of the use of the Phasor Measurement Units (PMU) on the state estimation problem. First, incorporation of the PMU measurements in a conventional state estimation program will be discussed. Then, the effect...
Yoon, Yeo Jun
2006-04-12T23:59:59.000Z
This thesis will investigate the impact of the use of the Phasor Measurement Units (PMU) on the state estimation problem. First, incorporation of the PMU measurements in a conventional state estimation program will be discussed. Then, the effect...
Nonclassical polarization dynamics in classical-like states
Alfredo Luis; Angel S. Sanz
2014-12-23T23:59:59.000Z
Quantum polarization is investigated by means of a trajectory picture based on the Bohmian formulation of quantum mechanics. Relevant examples of classical-like two-mode field states are thus examined, namely Glauber and SU(2) coherent states. Although these states are often regarded as classical, the analysis here shows that the corresponding electric-field polarization trajectories display topologies very different from those expected from classical electrodynamics. Rather than incompatibility with the usual classical model, this result demonstrates the dynamical richness of quantum motions, determined by local variations of the system quantum phase in the corresponding (polarization) configuration space, absent in classical-like models. These variations can be related to the evolution in time of the phase, but also to its dependence on configurational coordinates, which is the crucial factor to generate motion in the case of stationary states like those here considered. In this regard, for completeness these results are compared those obtained from nonclassical N00N states.
State machine analysis of sensor data from dynamic processes
Cook, William R.; Brabson, John M.; Deland, Sharon M.
2003-12-23T23:59:59.000Z
A state machine model analyzes sensor data from dynamic processes at a facility to identify the actual processes that were performed at the facility during a period of interest for the purpose of remote facility inspection. An inspector can further input the expected operations into the state machine model and compare the expected, or declared, processes to the actual processes to identify undeclared processes at the facility. The state machine analysis enables the generation of knowledge about the state of the facility at all levels, from location of physical objects to complex operational concepts. Therefore, the state machine method and apparatus may benefit any agency or business with sensored facilities that stores or manipulates expensive, dangerous, or controlled materials or information.
Survey of State-Level Cost and Benefit Estimates of Renewable Portfolio Standards
Heeter, J.; Barbose, G.; Bird, L.; Weaver, S.; Flores-Espino, F.; Kuskova-Burns, K.; Wiser, R.
2014-05-01T23:59:59.000Z
Most renewable portfolio standards (RPS) have five or more years of implementation experience, enabling an assessment of their costs and benefits. Understanding RPS costs and benefits is essential for policymakers evaluating existing RPS policies, assessing the need for modifications, and considering new policies. This study provides an overview of methods used to estimate RPS compliance costs and benefits, based on available data and estimates issued by utilities and regulators. Over the 2010-2012 period, average incremental RPS compliance costs in the United States were equivalent to 0.8% of retail electricity rates, although substantial variation exists around this average, both from year-to-year and across states. The methods used by utilities and regulators to estimate incremental compliance costs vary considerably from state to state and a number of states are currently engaged in processes to refine and standardize their approaches to RPS cost calculation. The report finds that state assessments of RPS benefits have most commonly attempted to quantitatively assess avoided emissions and human health benefits, economic development impacts, and wholesale electricity price savings. Compared to the summary of RPS costs, the summary of RPS benefits is more limited, as relatively few states have undertaken detailed benefits estimates, and then only for a few types of potential policy impacts. In some cases, the same impacts may be captured in the assessment of incremental costs. For these reasons, and because methodologies and level of rigor vary widely, direct comparisons between the estimates of benefits and costs are challenging.
Surface Dynamic Deformation Estimates From Seismicity Near the Itoiz Reservoir, Northern Spain
Santoyo, Miguel A; García-Jerez, Antonio; Luzón, Francisco
2014-01-01T23:59:59.000Z
We analyzed the ground motion time histories due to the local seismicity near the Itoiz reservoir, in order to estimate the surface 3D displacement-gradients and dynamic deformations. The seismic data were obtained by a semi-permanent broadband and accelerometric network installed by the University of Almeria during 2008 and 2009. Seismic sensors were located on surface and at underground sites in the vicinity of the dam. The dynamic deformation field was calculated by two different methods. On one hand, by the Seismo-Geodetic method using the data from a three-station micro-array. On the other hand, by Single-Station estimates of displacement gradients, assuming the incidence of body wave fields propagating through the recording site. The dynamic deformations obtained from both methods were compared and analyzed in the context of the local effects near the dam. The shallow 1D velocity structure was estimated from seismic data by modeling the body-wave travel times. After the comparison of the dynamic displac...
Query Cost Estimation through Remote System Contention States Analysis over the Internet
Liu, Weiru
Query Cost Estimation through Remote System Contention States Analysis over the Internet Weiru Liu costs of possible query plans in order to select the best one with the minimum cost. In this context, the cost of a query is affected by three factors: network congestion, server contention state
False Data Injection Attacks against State Estimation in Electric Power Grids
Reiter, Michael
13 False Data Injection Attacks against State Estimation in Electric Power Grids YAO LIU and PENG A power grid is a complex system connecting electric power generators to consumers through power transmis of attacks, called false data injection attacks, against state estima- tion in electric power grids. Under
Wave packet dynamics of entangled two-mode states
C. Sudheesh; S. Lakshmibala; V. Balakrishnan
2006-03-02T23:59:59.000Z
We consider a model Hamiltonian describing the interaction of a single-mode radiation field with the atoms of a nonlinear medium, and study the dynamics of entanglement for specific non-entangled initial states of interest: namely, those in which the field mode is initially in a Fock state, a coherent state, or a photon-added coherent state. The counterparts of near-revivals and fractional revivals are shown to be clearly identifiable in the entropy of entanglement. The ``overlap fidelity'' of the system is another such indicator, and its behaviour corroborates that of the entropy of entanglement in the vicinity of near-revivals. The expectation values and higher moments of suitable quadrature variables are also examined, with reference to possible squeezing and higher-order squeezing.
Wu, Jianyong; Zhou, Ying; Gao, Yang; Fu, Joshua S.; Johnson, Brent; Huang, Cheng; Kim, Young-Min; Liu, Yang
2014-01-01T23:59:59.000Z
Background: It is anticipated that climate change will influence heat-related mortality in the future. However, the estimation of excess mortality attributable to future heat waves is subject to large uncertainties, which have not been examined under the latest greenhouse gas emission scenarios. Objectives: We estimated the future heat wave impact on mortality in the eastern United States (~ 1,700 counties) under two Representative Concentration Pathways (RCPs) and analyzed the sources of uncertainties. Methods Using dynamically downscaled hourly temperature projections in 2057-2059, we calculated heat wave days and episodes based on four heat wave metrics, and estimated the excess mortality attributable to them. The sources of uncertainty in estimated excess mortality were apportioned using a variance-decomposition method. Results: In the eastern U.S., the excess mortality attributable to heat waves could range from 200-7,807 with the mean of 2,379 persons/year in 2057-2059. The projected average excess mortality in RCP 4.5 and 8.5 scenarios was 1,403 and 3,556 persons/year, respectively. Excess mortality would be relatively high in the southern and eastern coastal areas. The major sources of uncertainty in the estimates are relative risk of heat wave mortality, the RCP scenarios, and the heat wave definitions. Conclusions: The estimated mortality risks from future heat waves are likely an order of magnitude higher than its current level and lead to thousands of deaths each year under the RCP8.5 scenario. The substantial spatial variability in estimated county-level heat mortality suggests that effective mitigation and adaptation measures should be developed based on spatially resolved data.
Asymptotic Efficiency and Finite Sample Performance of Frequentist Quantum State Estimation
Raj Chakrabarti; Anisha Ghosh
2011-11-15T23:59:59.000Z
We undertake a detailed study of the performance of maximum likelihood (ML) estimators of the density matrix of finite-dimensional quantum systems, in order to interrogate generic properties of frequentist quantum state estimation. Existing literature on frequentist quantum estimation has not rigorously examined the finite sample performance of the estimators and associated methods of hypothesis testing. While ML is usually preferred on the basis of its asymptotic properties - it achieves the Cramer-Rao (CR) lower bound - the finite sample properties are often less than optimal. We compare the asymptotic and finite-sample properties of the ML estimators and test statistics for two different choices of measurement bases: the average case optimal or mutually unbiased bases (MUB) and a representative set of suboptimal bases, for spin-1/2 and spin-1 systems. We show that, in both cases, the standard errors of the ML estimators sometimes do not contain the true value of the parameter, which can render inference based on the asymptotic properties of the ML unreliable for experimentally realistic sample sizes. The results indicate that in order to fully exploit the information geometry of quantum states and achieve smaller reconstruction errors, the use of Bayesian state reconstruction methods - which, unlike frequentist methods, do not rely on asymptotic properties - is desirable, since the estimation error is typically lower due to the incorporation of prior knowledge.
Solid-State Halogen Atom Source for Chemical Dynamics and Etching...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Halogen Atom Source for Chemical Dynamics and Etching. Solid-State Halogen Atom Source for Chemical Dynamics and Etching. Abstract: We describe a solid state Br atom source for...
Griffith, Daniel Todd
2005-02-17T23:59:59.000Z
computation and evaluation of partial derivatives with minimal user coding. The key results in this dissertation details the use of OCEA through a number of computational studies in estimation and dynamical modeling. Several prototype problems are studied... Embedding Method), has been recently developed which shows promise for efficient computation and evaluation of partial derivatives. For a rather arbitrary sequentially substituted set of functions, coded in FORTRAN 90, OCEA invokes operator overloading...
Dynamical Stability of an Ion in a Linear Trap as a Solid-State Problem of Electron Localization
G. P. Berman; A. R. Bishop; D. F. V. James; R. J. Hughes; D. I. Kamenev
2000-12-18T23:59:59.000Z
When an ion confined in a linear ion trap interacts with a coherent laser field, the internal degrees of freedom, related to the electron transitions, couple to the vibrational degree of freedom of the ion. As a result of this interaction, quantum dynamics of the vibrational degree of freedom becomes complicated, and in some ranges of parameters even chaotic. We analyze the vibrational ion dynamics using a formal analogy with the solid-state problem of electron localization. In particular, we show how the resonant approximation used in analysis of the ion dynamics, leads to a transition from a two-dimensional (2D) to a one-dimensional problem (1D) of electron localization. The localization length in the solid-state problem is estimated in cases of weak and strong interaction between the cites of the 2D cell by using the methods of resonance perturbation theory, common in analysis of 1D time-dependent dynamical systems.
A Biochemical Ocean State Estimate in the Southern1 Ocean Gas Exchange Experiment2
Haine, Thomas W. N.
of the oceanic31 carbon pool. It influences light penetration with consequences for primary productivity1 A Biochemical Ocean State Estimate in the Southern1 Ocean Gas Exchange Experiment2 S. Dwivedi1 , T. W. N. Haine2 and C. E. Del Castillo3 3 1 Department of Atmospheric and Ocean Sciences, University
Kalman filtering with unknown inputs via optimal state estimation of singular systems
Paris-Sud XI, Université de
1 Kalman filtering with unknown inputs via optimal state estimation of singular systems M. DAROUACH de Lorraine, 54400 COSNES ET ROMAIN, FRANCE A new method for designing a Kalman filter for linear the Kalman filter, it is generally assumed that all system parameters, noise covariances, and inputs
Using graph theory to resolve state estimator issues faced by deregulated power systems
Lei, Jiansheng
2009-05-15T23:59:59.000Z
) Jiansheng Lei, B.S., Tsinghua University, Beijing, China; M.S., Tsinghua University, Beijing, China Chair of Advisory Committee: Dr. Garng M. Huang Power industry is undergoing a transition from the traditional regulated environment to the competitive... even under a contingency.............................................................................................1 B. Challenge 2: Run state estimator over a grid with extremely large size ...2 1.2 Topic 1: Network observability...
State-Estimators for Chemical Reaction Networks of Feinberg-Horn-Jackson Zero De ciency Type
Chaves, Madalena
State-Estimators for Chemical Reaction Networks of Feinberg-Horn-Jackson Zero De#12;ciency Type #3 for detectability for chemical reaction networks of the Feinberg-Horn-Jackson zero de#12;ciency type. Under. Keywords: observers, chemical reaction systems, detectability 1 Introduction One of the most interesting
Using graph theory to resolve state estimator issues faced by deregulated power systems
Lei, Jiansheng
2009-05-15T23:59:59.000Z
) Jiansheng Lei, B.S., Tsinghua University, Beijing, China; M.S., Tsinghua University, Beijing, China Chair of Advisory Committee: Dr. Garng M. Huang Power industry is undergoing a transition from the traditional regulated environment to the competitive... even under a contingency.............................................................................................1 B. Challenge 2: Run state estimator over a grid with extremely large size ...2 1.2 Topic 1: Network observability...
Distributed state estimation and model predictive control of linear interconnected system
Boyer, Edmond
requirements, modern control systems are becoming more and more complex. For these processes, different controlDistributed state estimation and model predictive control of linear interconnected system: In this paper, a distributed and networked control system architecture based on independent Model Predictive
False Data Injection Attacks against State Estimation in Electric Power Grids
Ning, Peng
False Data Injection Attacks against State Estimation in Electric Power Grids Yao Liu, Peng Ning@cs.unc.edu ABSTRACT A power grid is a complex system connecting electric power generators to consumers through power using IEEE test systems. Our results indicate that security protection of the electric power grid must
False Data Injection Attacks against State Estimation in Electric Power Grids
Ning, Peng
@cs.unc.edu ABSTRACT A power grid is a complex system connecting electric power generators to consumers through power estimate the power grid state through analysis of meter measurements and power system models. Various using IEEE test systems. Our results indicate that security protection of the electric power grid must
Cell Equalization In Battery Stacks Through State Of Charge Estimation Polling
Stefanopoulou, Anna
storage capacity, shortening the battery lifetime and, eventually, permanently damaging the cellCell Equalization In Battery Stacks Through State Of Charge Estimation Polling Carmelo Speltino, Anna Stefanopoulou and Giovanni Fiengo Abstract-- Battery packs are charged and discharged as a single
False Data Injection Attacks against State Estimation in Electric Power Grids
Qiu, Robert Caiming
@cs.unc.edu Abstract--A power grid is a complex system connecting electric power generators to consumers through power estimate the power grid state through analysis of meter measure- ments and power system models. Various malicious attacks. I. INTRODUCTION A power grid is a complex system connecting a variety of electric power
. Third, our proposed approach is illustrated using a dataset on Minnesota residential electricity demand), and Huntington (2007, p. 755, Table 5). #12;3 provides an empirical application estimating residential demandEquation Chapter 1 Section 1Dynamic Demand Functions.doc A Primer on Estimating Short and Long
Paris-Sud XI, Université de
January 1998 Abstract. The mean dynamic topography of the surface of the North Atlantic is estimated using, and it must be subtracted from the altimetric sea surface height to determine the dynamic topography topography of the surface of the ocean over a regular grid (Le Traon and Mercier, 1992). The altimetric
2006-01-01T23:59:59.000Z
electrode is limiting. © 2006 Elsevier B.V. All rights reserved. Keywords: State of charge; Lithium ion battery; Online; Extended Kalman filter; Parameter estimation 1. Introduction The phrase state of charge
Bajaj, Vikram Singh
2007-01-01T23:59:59.000Z
Solid state NMR can probe structure and dynamics on length scales from the atomic to the supramolecular. However, low sensitivity limits its application in macromolecules. NMR sensitivity can be improved by dynamic nuclear ...
Latchman, Haniph A.
when the system is Gaussian. Index Terms-- Dual control, entropy, Kalman filtering, state estimation. I systems. Fol- lowing the classical work of Gauss on least squares estimation and the modern day approach studies on least squares estimation. When applied to stochastic control systems, Kalman filtering theory
Kirrander, Adam [Laboratoire Aime Cotton du CNRS, Universite de Paris-Sud, Batiment 505, F-91405 Orsay (France); Shalashilin, Dmitrii V. [School of Chemistry, University of Leeds, Leeds LS2 9JT (United Kingdom)
2011-09-15T23:59:59.000Z
We present an alternate version of the coupled-coherent-state method, specifically adapted for solving the time-dependent Schroedinger equation for multielectron dynamics in atoms and molecules. This theory takes explicit account of the exchange symmetry of fermion particles, and it uses fermion molecular dynamics to propagate trajectories. As a demonstration, calculations in the He atom are performed using the full Hamiltonian and accurate experimental parameters. Single- and double-ionization yields by 160-fs and 780-nm laser pulses are calculated as a function of field intensity in the range 10{sup 14}-10{sup 16} W/cm{sup 2}, and good agreement with experiments by Walker et al. is obtained. Since this method is trajectory based, mechanistic analysis of the dynamics is straightforward. We also calculate semiclassical momentum distributions for double ionization following 25-fs and 795-nm pulses at 1.5x10{sup 15} W/cm{sup 2}, in order to compare them with the detailed experiments by Rudenko et al. For this more challenging task, full convergence is not achieved. However, major effects such as the fingerlike structures in the momentum distribution are reproduced.
Ultrafast Dynamics of 1,3-Cyclohexadiene in Highly Excited States
Minitti, Michael P.
2011-01-01T23:59:59.000Z
The ultrafast dynamics of 1,3-cyclohexadiene has been investigated via structurally sensitive Rydberg electron binding energies and shown to differ upon excitation to the 1B state and the 3p Rydberg state. Excitation of ...
Teixeira, André; Sandberg, Henrik; Johansson, Karl H
2010-01-01T23:59:59.000Z
The electrical power network is a critical infrastructure in today's society, so its safe and reliable operation is of major concern. State estimators are commonly used in power networks, for example, to detect faulty equipment and to optimally route power flows. The estimators are often located in control centers, to which large numbers of measurements are sent over unencrypted communication channels. Therefore cyber security for state estimators becomes an important issue. In this paper we analyze the cyber security of state estimators in supervisory control and data acquisition (SCADA) for energy management systems (EMS) operating the power network. Current EMS state estimation algorithms have bad data detection (BDD) schemes to detect outliers in the measurement data. Such schemes are based on high measurement redundancy. Although these methods may detect a set of basic cyber attacks, they may fail in the presence of an intelligent attacker. We explore the latter by considering scenarios where stealthy de...
Peng, Huei
A Unified Open-Circuit-Voltage Model of Lithium-ion Batteries for State-of-Charge Estimation. Keywords: Electric vehicles, Lithium-ion batteries, Open-Circuit-Voltage, State-of-Charge, State is widely used for characterizing battery properties under different conditions. It contains important
Dynamic Versus Steady-State Modeling of FACTS Controllers in Transmission Congestion
Cañizares, Claudio A.
1 Dynamic Versus Steady-State Modeling of FACTS Controllers in Transmission Congestion Claudio A of dynamic models of power systems elements, including FACTS controllers, and a better representation controller dynamic models in market clearing and power dispatch. The research work presented here
Controlling protein molecular dynamics: How to accelerate folding while preserving the native state
Nerukh, Dmitry
Controlling protein molecular dynamics: How to accelerate folding while preserving the native state state of the protein and at the same time, reduce the folding time in the simulation. We investigate 2008; accepted 14 October 2008; published online 11 December 2008 The dynamics of peptides and proteins
Steady state relativistic stellar dynamics around a massive black hole
Bar-Or, Ben
2015-01-01T23:59:59.000Z
A massive black hole (MBH) consumes stars whose orbits evolve into the small phase-space volume of unstable orbits, the "loss-cone", which take them directly into the MBH, or close enough to interact strongly with it. The resulting phenomena: tidal heating and tidal disruption, binary capture and hyper-velocity star ejection, gravitational wave (GW) emission by inspiraling compact remnants, or hydrodynamical interactions with an accretion disk, are of interest as they can produce observable signatures and thereby reveal the existence of the MBH, affect its mass and spin evolution, probe strong gravity, and provide information on stars and gas near the MBH. The continuous loss of stars and the processes that resupply them shape the central stellar distribution. We investigate relativistic stellar dynamics near the loss-cone of a non-spinning MBH in steady-state analytically and by Monte Carlo simulations of the diffusion of the orbital parameters. These take into account Newtonian mass precession due to enclos...
Valbuena Olivares, Ernesto
2012-02-14T23:59:59.000Z
to estimate the ultimate CO2 storage in depleted oil and gas reservoirs by implementing a volume constrained thermodynamic equation of state (EOS) using the reservoir?s average pressure and fluid composition. This method was implemented in an algorithm...
Esposito, A.; Porro, C.; Augustine, C.; Roberts, B.
2012-09-01T23:59:59.000Z
Because most sedimentary basins have been explored for oil and gas, well logs, temperatures at depth, and reservoir properties such as depth to basement and formation thickness are well known. The availability of this data reduces exploration risk and allows development of geologic exploration models for each basin. This study estimates the magnitude of recoverable geothermal energy from 15 major known U.S. sedimentary basins and ranks these basins relative to their potential. The total available thermal resource for each basin was estimated using the volumetric heat-in-place method originally proposed by (Muffler, 1979). A qualitative recovery factor was determined for each basin based on data on flow volume, hydrothermal recharge, and vertical and horizontal permeability. Total sedimentary thickness maps, stratigraphic columns, cross sections, and temperature gradient information was gathered for each basin from published articles, USGS reports, and state geological survey reports. When published data were insufficient, thermal gradients and reservoir properties were derived from oil and gas well logs obtained on oil and gas commission databases. Basin stratigraphy, structural history, and groundwater circulation patterns were studied in order to develop a model that estimates resource size, temperature distribution, and a probable quantitative recovery factor.
Estimation of the dynamics of rumen water during the meal in sheep fed lucerne hay ad libitum
Paris-Sud XI, Université de
Estimation of the dynamics of rumen water during the meal in sheep fed lucerne hay ad libitum R-fistulated wethers had free access to lucerne hay for 6 h per day. They were dosed with 300 ml Cr-EDTA 2 h before
Ghosh, Bijoy K.
been numerous attempts to combine the above men- tioned sensors by using different heuristics Line-Based Dynamic Vision and Inertial Sensors Henrik Rehbinder, Member, IEEE, and Bijoy K. Ghosh. Rigid body pose estimation using iner- tial sensors and a monocular camera is considered and it is shown
Mi, Chunting "Chris"
A robust state-of-charge estimator for multiple types of lithium-ion batteries using adaptive a SOC estimator for suitable for multiple lithium ion battery chemistries. Proved the system robustness of charge (SoC) of multiple types of lithium ion battery (LiB) cells with adaptive extended Kalman filter
Dynamic control of spin states in interacting magnetic elements
Jain, Shikha; Novosad, Valentyn
2014-10-07T23:59:59.000Z
A method for the control of the magnetic states of interacting magnetic elements comprising providing a magnetic structure with a plurality of interacting magnetic elements. The magnetic structure comprises a plurality of magnetic states based on the state of each interacting magnetic element. The desired magnetic state of the magnetic structure is determined. The active resonance frequency and amplitude curve of the desired magnetic state is determined. Each magnetic element of the magnetic structure is then subjected to an alternating magnetic field or electrical current having a frequency and amplitude below the active resonance frequency and amplitude curve of said desired magnetic state and above the active resonance frequency and amplitude curve of the current state of the magnetic structure until the magnetic state of the magnetic structure is at the desired magnetic state.
Egorov, E. N., E-mail: evgeniy.n.egorov@gmail.com; Koronovskii, A. A.; Kurkin, S. A.; Hramov, A. E. [Chernyshevsky Saratov State University (Russian Federation)] [Chernyshevsky Saratov State University (Russian Federation)
2013-11-15T23:59:59.000Z
Results of numerical simulations and analysis of the formation and nonlinear dynamics of the squeezed state of a helical electron beam in a vircator with a magnetron injection gun as an electron source and with additional electron deceleration are presented. The ranges of control parameters where the squeezed state can form in such a system are revealed, and specific features of the system dynamics are analyzed. It is shown that the formation of a squeezed state of a nonrelativistic helical electron beam in a system with electron deceleration is accompanied by low-frequency longitudinal dynamics of the space charge.
Prasad, Rajiv; Hibler, Lyle F.; Coleman, Andre M.; Ward, Duane L.
2011-11-01T23:59:59.000Z
The purpose of this document is to describe approaches and methods for estimation of the design-basis flood at nuclear power plant sites. Chapter 1 defines the design-basis flood and lists the U.S. Nuclear Regulatory Commission's (NRC) regulations that require estimation of the design-basis flood. For comparison, the design-basis flood estimation methods used by other Federal agencies are also described. A brief discussion of the recommendations of the International Atomic Energy Agency for estimation of the design-basis floods in its member States is also included.
Wu, M.; Peng, J. (Energy Systems); ( NE)
2011-02-24T23:59:59.000Z
Freshwater consumption for electricity generation is projected to increase dramatically in the next couple of decades in the United States. The increased demand is likely to further strain freshwater resources in regions where water has already become scarce. Meanwhile, the automotive industry has stepped up its research, development, and deployment efforts on electric vehicles (EVs) and plug-in hybrid electric vehicles (PHEVs). Large-scale, escalated production of EVs and PHEVs nationwide would require increased electricity production, and so meeting the water demand becomes an even greater challenge. The goal of this study is to provide a baseline assessment of freshwater use in electricity generation in the United States and at the state level. Freshwater withdrawal and consumption requirements for power generated from fossil, nonfossil, and renewable sources via various technologies and by use of different cooling systems are examined. A data inventory has been developed that compiles data from government statistics, reports, and literature issued by major research institutes. A spreadsheet-based model has been developed to conduct the estimates by means of a transparent and interactive process. The model further allows us to project future water withdrawal and consumption in electricity production under the forecasted increases in demand. This tool is intended to provide decision makers with the means to make a quick comparison among various fuel, technology, and cooling system options. The model output can be used to address water resource sustainability when considering new projects or expansion of existing plants.
Tracking shocked dust: State estimation for a complex plasma during a shock wave
Oxtoby, Neil P.; Ralph, Jason F.; Durniak, Celine; Samsonov, Dmitry [Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, L69 3GJ (United Kingdom)
2012-01-15T23:59:59.000Z
We consider a two-dimensional complex (dusty) plasma crystal excited by an electrostatically-induced shock wave. Dust particle kinematics in such a system are usually determined using particle tracking velocimetry. In this work we present a particle tracking algorithm which determines the dust particle kinematics with significantly higher accuracy than particle tracking velocimetry. The algorithm uses multiple extended Kalman filters to estimate the particle states and an interacting multiple model to assign probabilities to the different filters. This enables the determination of relevant physical properties of the dust, such as kinetic energy and kinetic temperature, with high precision. We use a Hugoniot shock-jump relation to calculate a pressure-volume diagram from the shocked dust kinematics. Calculation of the full pressure-volume diagram was possible with our tracking algorithm, but not with particle tracking velocimetry.
Woli, Prem; Paz, Joel O.
2011-12-23T23:59:59.000Z
Global solar radiation Rg is an important input for crop models to simulate crop responses. Because the scarcity of long and continuous records of Rg is a serious limitation in many countries, Rg is estimated using models. For crop-model application, empirical Rg models that use commonly measured meteorological variables, such as temperature and precipitation, are generally preferred. Although a large number of models of this kind exist, few have been evaluated for conditions in the United States. This study evaluated the performances of 16 empirical, temperature- and/or precipitation-based Rg models for the southeastern United States. By taking into account spatial distribution and data availability, 30 locations in the region were selected and their daily weather data spanning eight years obtained. One-half of the data was used for calibrating the models, and the other half was used for evaluation. For each model, location-specific parameter values were estimated through regressions. Models were evaluated for each location using the root-mean-square error and the modeling efficiency as goodness-of-fit measures. Among the models that use temperature or precipitation as the input variable, the Mavromatis model showed the best performance. The piecewise linear regressionÃ?Â¢Ã?Â?Ã?Â?based Wu et al. model (WP) performed best not only among the models that use both temperature and precipitation but also among the 16 models evaluated, mainly because it has separate relationships for low and high radiation levels. The modeling efficiency of WP was from ~5% to more than 100% greater than those of the other models, depending on models and locations.
Estimated Value of Service Reliability for Electric Utility Customers in the United States
Sullivan, M.J.
2009-01-01T23:59:59.000Z
applied to indicators like SAIDI and SAIFI for purposes ofperformance (e.g. , SAIFI and SAIDI); estimate partialperformance (e.g. , SAIFI and SAIDI); estimate partial
Population Dynamics and Tropical Deforestation: State of the Debate and Conceptual Challenges
Lopez-Carr, David
); population. Please address correspondence to David L. Carr, University of California, Santa Barbara, CA, USAPopulation Dynamics and Tropical Deforestation: State of the Debate and Conceptual Challenges David L. Carr Laurel Suter University of California Alisson Barbieri Carolina Population Center What
How trehalose protects DNA in the dry state: a molecular dynamics simulation
Fu, Xuebing
2008-10-10T23:59:59.000Z
Molecular dynamics simulations were conducted on a system consisting of a decamer DNA solvated by trehalose and water (molecular ratio= 1:2), to mimic a relatively dry state for the DNA molecule. Simulations were performed ...
Macroscopic description of complex adaptive networks co-evolving with dynamic node states
Wiedermann, Marc; Heitzig, Jobst; Lucht, Wolfgang; Kurths, Jürgen
2015-01-01T23:59:59.000Z
In many real-world complex systems, the time-evolution of the network's structure and the dynamic state of its nodes are closely entangled. Here, we study opinion formation and imitation on an adaptive complex network which is dependent on the individual dynamic state of each node and vice versa to model the co-evolution of renewable resources with the dynamics of harvesting agents on a social network. The adaptive voter model is coupled to a set of identical logistic growth models and we show that in such systems, the rate of interactions between nodes as well as the adaptive rewiring probability play a crucial role for the sustainability of the system's equilibrium state. We derive a macroscopic description of the system which provides a general framework to model and quantify the influence of single node dynamics on the macroscopic state of the network and is applicable to many fields of study, such as epidemic spreading or social modeling.
Time-Dynamic Density and Mode Estimation with Application to Fast Mode Tracking
Müller, Hans-Georg
studied in the recursive density estimation framework (see, for example, Wegman and Davies 1995; Hall; Wegman and Marchette 2003). Real-time density estimation has been treated in Hall and Patil (1994), using
Integrated Scheduling and Dynamic Optimization of Batch Processes Using State Equipment Networks
Grossmann, Ignacio E.
Integrated Scheduling and Dynamic Optimization of Batch Processes Using State Equipment Networks value to existing assets Improving plant reliability 1 J.M. Wassick and J. Ferrio. Extending A batch plant with existing equipment A time horizon to make products Dynamic models of process operations
SU-E-T-238: Monte Carlo Estimation of Cerenkov Dose for Photo-Dynamic Radiotherapy
Chibani, O; Price, R; Ma, C [Fox Chase Cancer Center, Philadelphia, PA (United States); Eldib, A [Fox Chase Cancer Center, Philadelphia, PA (United States); University Cairo (Egypt); Mora, G [de Lisboa, Codex, Lisboa (Portugal)
2014-06-01T23:59:59.000Z
Purpose: Estimation of Cerenkov dose from high-energy megavoltage photon and electron beams in tissue and its impact on the radiosensitization using Protoporphyrine IX (PpIX) for tumor targeting enhancement in radiotherapy. Methods: The GEPTS Monte Carlo code is used to generate dose distributions from 18MV Varian photon beam and generic high-energy (45-MV) photon and (45-MeV) electron beams in a voxel-based tissueequivalent phantom. In addition to calculating the ionization dose, the code scores Cerenkov energy released in the wavelength range 375–425 nm corresponding to the pick of the PpIX absorption spectrum (Fig. 1) using the Frank-Tamm formula. Results: The simulations shows that the produced Cerenkov dose suitable for activating PpIX is 4000 to 5500 times lower than the overall radiation dose for all considered beams (18MV, 45 MV and 45 MeV). These results were contradictory to the recent experimental studies by Axelsson et al. (Med. Phys. 38 (2011) p 4127), where Cerenkov dose was reported to be only two orders of magnitude lower than the radiation dose. Note that our simulation results can be corroborated by a simple model where the Frank and Tamm formula is applied for electrons with 2 MeV/cm stopping power generating Cerenkov photons in the 375–425 nm range and assuming these photons have less than 1mm penetration in tissue. Conclusion: The Cerenkov dose generated by high-energy photon and electron beams may produce minimal clinical effect in comparison with the photon fluence (or dose) commonly used for photo-dynamic therapy. At the present time, it is unclear whether Cerenkov radiation is a significant contributor to the recently observed tumor regression for patients receiving radiotherapy and PpIX versus patients receiving radiotherapy only. The ongoing study will include animal experimentation and investigation of dose rate effects on PpIX response.
Identification of the protein folding transition state from molecular dynamics trajectories
Caflisch, Amedeo
Identification of the protein folding transition state from molecular dynamics trajectories S. Muff The rate of protein folding is governed by the transition state so that a detailed characterization of its. INTRODUCTION Proteins fold from the heterogeneous set of denatured conformations to the structurally well
Groundwater dynamics along a hillslope: A test of the steady state hypothesis
McDonnell, Jeffrey J.
Groundwater dynamics along a hillslope: A test of the steady state hypothesis Jan Seibert,1 Kevin modeling is that the relation between groundwater levels and runoff can be described as a succession of steady state conditions. This results in a single- valued, monotonic function between the groundwater
Maggiore, Manfredi
Coupled Dynamic Systems: From Structure Towards State Agreement Zhiyun Lin, Bruce Francis, and Manfredi Maggiore Abstract-- The state agreement problem is studied for non- linear continuous-time systems. A general interconnection of nonlinear subsystems is treated, where the vector fields can switch within
Dynamic Interactions in the Western United States Electricity Spot Markets Christine A. Jerko
Dynamic Interactions in the Western United States Electricity Spot Markets Christine A. Jerko Economic Research Analyst at Tractebel Electricity & Gas International, Houston, TX James W. Mjelde interactions between six electricity spot markets in the western United States are examined using time series
Kim, Young-Min; Zhou, Ying; Gao, Yang; Fu, Joshua S.; Johnson, Brent; Huang, Cheng; Liu, Yang
2015-01-01T23:59:59.000Z
BACKGROUND: The spatial pattern of the uncertainty in climate air pollution health impact has rarely been studied due to the lack of high-resolution model simulations, especially under the latest Representative Concentration Pathways (RCPs). OBJECTIVES: We estimated county-level ozone (O3) and PM2.5 related excess mortality (EM) and evaluated the associated uncertainties in the continental United States in the 2050s under RCP4.5 and RCP8.5. METHODS: Using dynamically downscaled climate model simulations, we calculated changes in O3 and PM2.5 levels at 12 km resolution between the future (2057-2059) and present (2001-2004) under two RCP scenarios. Using concentration-response relationships in the literature and projected future populations, we estimated EM attributable to the changes in O3 and PM2.5. We finally analyzed the contribution of input variables to the uncertainty in the county-level EM estimation using Monte Carlo simulation. RESULTS: O3-related premature deaths in the continental U.S. were estimated to be 1,082 deaths/year under RCP8.5 (95% confidence interval (CI): -288 to 2,453), and -5,229 deaths/year under RCP4.5 (-7,212 to -3,246). Simulated PM2.5 changes resulted in a significant decrease in EM under the two RCPs. The uncertainty of O3-related EM estimates was mainly caused by RCP scenarios, whereas that of PM2.5-related EMs was mainly from concentration-response functions. CONCLUSION: EM estimates attributable to climate change-induced air pollution change as well as the associated uncertainties vary substantially in space, and so are the most influential input variables. Spatially resolved data is crucial to develop effective mitigation and adaptation policy.
Sun, Jian
[1] We use a conditional averaging approach to estimate the parameters of a land surface water and energy balance model and then use the estimated parameters to partition net radiation into latent, sensible, and ground ...
Dynamic estimation of specific growth rates and concentrations of bacteria for the
Paris-Sud XI, Université de
-digestion of several wastes (manure, sewage sludge and wastes from food processing industry) is another environmentally the dilution rate and the flow rates of methane and carbon dioxide in the biogas. The estimation schemes thus. Keywords: Waste treatment, Biotechnology, Observer, Estimation theory, Algebraic systems theory 1
PMU Placement for Dynamic State Tracking of Power Systems
Sun, Yannan; Du, Pengwei; Huang, Zhenyu; Kalsi, Karanjit; Diao, Ruisheng; Anderson, Kevin K.; Li, Yulan; Lee, Barry
2011-08-04T23:59:59.000Z
Accurately tracking the state variables (rotor angle and speed) is a necessity for monitoring system stability conditions and assessing the risks of large-scale system collapse. This paper explores how the number and locations of PMUs installed in the system are determined to ensure satisfactory state tracking performance. A search algorithm is presented for determining PMU placement (location and quantity). The algorithm determines a placement that gives small tracking error in polynomial time. A modified, scalable algorithm is also presented. Observability in the presence of faults is considered. Simulation results for a 16-machine and a 50-machine system are provided.
Stefanopoulou, Anna
Experimental Validation of a Lithium-Ion Battery State of Charge Estimation with an Extended Kalman unobservable conditions as discussed in [3] and allow the application of an extended Kalman Filter (EKF) from Kalman Filter (EKF) based on the averaged model and the performance is shown experimentally in a 10 cell
Robustness analysis of State-of-Charge estimation methods for two types of Li-ion batteries
Peng, Huei
Robustness analysis of State-of-Charge estimation methods for two types of Li-ion batteries i g h l i g h t s battery model parameters are optimized. 2012 Accepted 1 June 2012 Available online 9 June 2012 Keywords: Battery management systems SOC
Lithium-Ion battery State of Charge estimation with a Kalman Filter based on a electrochemical model
Stefanopoulou, Anna
Lithium-Ion battery State of Charge estimation with a Kalman Filter based on a electrochemical model Domenico Di Domenico, Giovanni Fiengo and Anna Stefanopoulou Abstract-- Lithium-ion battery hybrid electric vehicles (HEV). In most cases the lithium-ion battery performance plays an important role
Baldick, Ross
data detection. In this analysis, to make the problem manageable, we use the 1-norm to calculateIEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 16, NO. 2, MAY 2001 273 State Estimator Condition Number is related to available finite precision arithmetic. The more precision in the calculations, the higher
Dynamical control of quantum state transfer within hybrid open systems
B. M. Escher; G. Bensky; J. Clausen; G. Kurizki; L. Davidovich
2010-10-25T23:59:59.000Z
We analyze quantum state-transfer optimization within hybrid open systems, from a "noisy" (write-in) qubit to its "quiet" counterpart (storage qubit). Intriguing interplay is revealed between our ability to avoid bath-induced errors that profoundly depend on the bath-memory time and the limitations imposed by leakage out of the operational subspace. Counterintuitively, under no circumstances is the fastest transfer optimal (for a given transfer energy).
Dynamical control of quantum state transfer within hybrid open systems
Escher, B M; Clausen, J; Kurizki, G; Davidovich, L
2010-01-01T23:59:59.000Z
We analyze quantum state-transfer optimization within hybrid open systems, from a "noisy" (write-in) qubit to its "quiet" counterpart (storage qubit). Intriguing interplay is revealed between our ability to avoid bath-induced errors that profoundly depend on the bath-memory time and the limitations imposed by leakage out of the operational subspace. Counterintuitively, under no circumstances is the fastest transfer optimal (for a given transfer energy).
Ground states and dynamics of spin-orbit-coupled Bose-Einstein condensates
Weizhu Bao; Yongyong Cai
2014-07-22T23:59:59.000Z
We study analytically and asymptotically as well as numerically ground states and dynamics of two-component spin-orbit-coupled Bose-Einstein condensates (BECs) modeled by the coupled Gross-Pitaevskii equations (CGPEs). In fact, due to the appearance of the spin-orbit (SO) coupling in the two-component BEC with a Raman coupling, the ground state structures and dynamical properties become very rich and complicated. For the ground states, we establish the existence and non-existence results under different parameter regimes, and obtain their limiting behaviors and/or structures with different combinations of the SO and Raman coupling strengths. For the dynamics, we show that the motion of the center-of-mass is either non-periodic or with different frequency to the trapping frequency when the external trapping potential is taken as harmonic and the initial data is chosen as a stationary state (e.g. ground state) with a shift, which is completely different from the case of a two-component BEC without the SO coupling, and obtain the semiclassical limit of the CGPEs in the linear case via the Wigner transform method. Efficient and accurate numerical methods are proposed for computing the ground states and dynamics, especially for the case of box potentials. Numerical results are reported to demonstrate the efficiency and accuracy of the numerical methods and show the rich phenomenon in the SO-coupled BECs.
Molecular dynamics studies of the primary state of radiation damage
Diaz de la Rubia, T.; Averback, R.S.; Robertson, I.M.; Benedek, R.
1988-12-01T23:59:59.000Z
This paper summarizes recent progress in the understanding of energetic displacement cascades in metals achieved with the molecular-dynamics (MD) simulation technique. Recoil events with primary-knock-on-atom (PKA) energies up to 5 keV were simulated in Cu and Ni. The initial development of displacement cascades was similar in both metals, with replacement collision sequences providing the most efficient mechanism for the separation of interstitials and vacancies. The thermal-spike behavior in these metals, however, is quite different; Cu cascades are characterized by lower defect production and greater atomic disordering than those in Ni. The thermal spike significantly influences various other properties of cascades, such as total defect production and defect clustering. 32 refs., 7 figs., 2 tabs.
Wijngaarden, Rinke J.
Extremal Dynamics and the Approach to the Critical State: Experiments on a Three Dimensional Pile in three dimensions. With time, the pile approaches a critical state with a certain slope. Assuming extremal dynamics in the evolution of the pile, the way the critical state is approached is dictated
Melanoma costs: A dynamic model comparing estimated overall costs of various clinical stages
Alexandrescu, Doru Traian
2009-01-01T23:59:59.000Z
AL. Trends in treatment costs for localized prostate cancer:R, Elkin EP, et al. Cumulative cost pattern comparison ofAn estimate of the annual direct cost of treating cutaneous
Rodi, Paul J.
2012-07-16T23:59:59.000Z
This thesis involves exploring enhancement of estimating the probability of a critical station blackout in nuclear power plant operations by the use of direct numerical evaluation of multidimensional nonrecovery integrals. This requires development...
Parameter Estimation of Dynamic Air-conditioning Component Models Using Limited Sensor Data
Hariharan, Natarajkumar
2011-08-08T23:59:59.000Z
This thesis presents an approach for identifying critical model parameters in dynamic air-conditioning systems using limited sensor information. The expansion valve model and the compressor model parameters play a crucial role in the system model...
Parameter Estimation of Dynamic Air-conditioning Component Models Using Limited Sensor Data
Hariharan, Natarajkumar
2011-08-08T23:59:59.000Z
This thesis presents an approach for identifying critical model parameters in dynamic air-conditioning systems using limited sensor information. The expansion valve model and the compressor model parameters play a crucial ...
A SURVEY OF STATE-LEVEL COST ESTIMATES OF RENEWABLES PORTFOLIO STANDARDS
Barbose, Galen
2014-01-01T23:59:59.000Z
LEVEL COST ESTIMATES OF RENEWABLES PORTFOLIO STANDARDS Galenthe incremental cost of renewables portfolio standards (RPS)Washington DC have adopted renewables portfolio standards (
Estimated Value of Service Reliability for Electric Utility Customers in the United States
Sullivan, M.J.
2009-01-01T23:59:59.000Z
Ordinary Least Squares SAIDI – System Average Interruptionapplied to indicators like SAIDI and SAIFI for purposes ofe.g. , SAIFI and SAIDI); estimate partial interruption cost;
Berry, L.
1997-01-01T23:59:59.000Z
The DOE Weatherization Assistance Program is one of the largest energy conservation programs in the nation. To obtain an updated estimate of national Program savings, an approach of metaevaluation was selected, which involved locating, assembling, and summarizing the results of all state-level evaluations of the Program that have become available since 1990. All of the savings estimates that are presented in this report are for dwellings that heat primarily with natural gas.This review of the state-level evaluations conducted since 1990 concluded that Program performance has improved significantly in the last seven years. The finding that savings are increasing are supported by a literature review, within-state comparisons of savings over time, and regression modeling results.
Quantum Chemical Analysis of the Excited State Dynamics of Hydrated Electrons
P. O. J. Scherer; Sighart F. Fischer
2006-02-01T23:59:59.000Z
Quantum calculations are performed for an anion water cluster representing the first hydration shell of the solvated electron in solution. The absorption spectra from the ground state, the instant excited states and the relaxed excited states are calculated including CI-SD interactions. Analytic expressions for the nonadiabatic relaxation are presented. It is shown that the 50fs dynamics recently observed after s->p excitation is best accounted for if it is identified with the internal conversion, preceded by an adiabatic relaxation within the excited p state. In addition, transient absorptions found in the infrared are qualitatively reproduced by these calculations .
Dynamics of multi-modes maximum entangled coherent state over amplitude damping channel
A. El Allati; Y. Hassouni; N. Metwally
2012-02-18T23:59:59.000Z
The dynamics of maximum entangled coherent state travels through an amplitude damping channel is investigated. For small values of the transmissivity rate the travelling state is very fragile to this noise channel, where it suffers from the phase flip error with high probability. The entanglement decays smoothly for larger values of the transmissivity rate and speedily for smaller values of this rate. As the number of modes increases, the travelling state over this noise channel loses its entanglement hastily. The odd and even states vanish at the same value of the field intensity.
Robust Dynamical Decoupling for Arbitrary Quantum States of a Single NV Center in Diamond
J. H. Shim; I. Niemeyer; J. Zhang; D. Suter
2012-07-24T23:59:59.000Z
Dynamical decoupling is a powerful technique for extending the coherence time (T$_2$) of qubits. We apply this technique to the electron spin qubit of a single nitrogen-vacancy center in type IIa diamond. In a crystal with natural abundance of $^{13}$C nuclear spins, we extend the decoherence time up to 2.2 ms. This is close to the T$_1$ value of this NV center (4 ms). Since dynamical decoupling must perform well for arbitrary initial conditions, we measured the dependence on the initial state and compared the performance of different sequences with respect to initial state dependence and robustness to experimental imperfections.
Effective Temperature in Steady-state Dynamics from Holography
Kundu, Arnab
2015-01-01T23:59:59.000Z
We argue that, within the realm of gauge-gravity duality, for a large class of systems in a steady-state there exists an effective thermodynamic description. This description comes equipped with an effective temperature and a free energy, but no well-defined notion of entropy. Such systems are described by probe degrees of freedom propagating in a much larger background, e.g. $N_f$ number of ${\\cal N} =2$ hypermultiplets in ${\\cal N}=4$ $SU(N_c)$ super Yang-Mills theory, in the limit $N_f \\ll N_c$. The steady-state is induced by exciting an external electric field that couples to the hypermultiplets and drives a constant current. With various stringy examples, we demonstrate that an open string equivalence principle determines a unique effective temperature for all fluctuations in the probe-sector. We further discuss various properties of the corresponding open string metric that determines the effective geometry which the probe degrees of freedom are coupled to. We also comment on the non-Abelian generalizat...
Estimated Value of Service Reliability for Electric Utility Customers in the United States
Sullivan, M.J.
2009-01-01T23:59:59.000Z
Goods: The Contingent Valuation Method. Resources for theare called contingent valuation methods or stated preference
Convolution particle filtering for parameter estimation in general state-space models
Paris-Sud XI, UniversitÃ© de
of these aspects [6] [4]. The second approach takes place in a classical Bayesian framework, a prior probability suited, given the context of parameter estimation. Firstly the usual non Bayesian statistical estimates results in practice but suffer from an absence of theoretical backing. The particle filters propose a good
Bouaynaya, Nidhal
estimated, the neural drive can be used to control upper- extremity myoelectric prosthesis. Commonly prosthesis control problem [1]. Such algorithms are based on the assumption that there exist distinguishable the hypothesis of muscle synergies to estimate the neural drive from the surface myoelectric signal. Once
A STEADY-STATE FEL: PARTICLE DYNAMICS IN THE FEL PORTION OF A TWO-BEAM ACCELERATOR
Sternbach, E.
2008-01-01T23:59:59.000Z
September 8-13, 1985 A STEADY-STATE FEL: PARTICLE DYNAMICSIN THE FEL PORTION OF A TWO-BEAM ACCELERATOR E. SternbachLBL-19939 A STEADY-STATE FEL: PARTICLE DYNAMICS IN THE FEL
StatetoState Quantum Dynamics of O + O2 Isotope Exchange
Maccabe, Barney
StatetoState Quantum Dynamics of O + O2 Isotope Exchange Reactions Reveals Non body (M). An in depth understanding of the bimolecular isotope exchange reactions will shed light on the surprising and significant enrichment of heavy ozone isotopomers discovered in the stratosphere more than
Design of penalty functions for optimal control of linear dynamical systems under state and input of solving a constrained optimal control for a general single-input single output linear time varying system dimensional (functional optimization) case. The main novelty is that both the bounds on the control variable
Laser-induced resonance states as dynamic suppressors of ionization in high-frequency short pulses
Baer, Roi
Laser-induced resonance states as dynamic suppressors of ionization in high-frequency short pulses is used to study the suppression of ionization in short laser pulses. In the high-frequency limit the adiabatic equations involve only the pulse envelope where transitions are purely ramp effects. For a short
Droegemeier, Kelvin K.
1 Draft Chapter from Mesoscale Dynamic Meteorology By Prof. Yu-lang Lin, North Carolina State University Chapter 1 Overview 1.1 Introduction The so-called mesometeorology or mesoscale meteorology as mesoscale phenomena by others (e.g. Orlanski 1975; Thunis and Bornstein 1996). Therefore, a more precise
Soil thermal dynamics of terrestrial ecosystems of the conterminous United States from 1948 to 2008
Zhuang, Qianlai
). Thus, the heat stored in soil and temperature variations cannot be ignored when studying airSoil thermal dynamics of terrestrial ecosystems of the conterminous United States from 1948 to 2008 to changes in vegetation, snow, soil moisture, and other climate variables (i.e., precipitation, solar
Not Available
2009-09-01T23:59:59.000Z
This independent review examines DOE cost targets for state-of-the art hydrogen production using water electrolysis.
Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water Electrolysis
Fuel Cell Technologies Publication and Product Library (EERE)
This independent review examines DOE cost targets for state-of-the art hydrogen production using water electrolysis.
Johansson, Karl Henrik
Cyber Security Analysis of State Estimators in Electric Power Systems AndrÂ´e Teixeira, Saurabh Amin security of state estimators in Supervisory Control and Data Acquisition (SCADA) systems operating in power random outliers in the measurement data. Such schemes are based on high measurement redundancy. Although
Murphy, Robert F.
1 Robust Data-Driven State Estimation for Smart Grid Yang Weng, Student Member, IEEE, Rohit Negi, a grand challenge to the newly built smart grid is how to "optimally" estimate the state with increasing in the volatile smart grid. Frequent topology changes, poor measurement accuracy, and malicious attack can further
Excited State Structural Dynamics of Carotenoids and ChargeTransfer Systems
Van Tassle, Aaron Justin
2006-09-01T23:59:59.000Z
This dissertation describes the development andimplementation of a visible/near infrared pump/mid-infrared probeapparatus. Chapter 1 describes the background and motivation ofinvestigating optically induced structural dynamics, paying specificattention to solvation and the excitation selection rules of highlysymmetric molecules such as carotenoids. Chapter 2 describes thedevelopment and construction of the experimental apparatus usedthroughout the remainder of this dissertation. Chapter 3 will discuss theinvestigation of DCM, a laser dye with a fluorescence signal resultingfrom a charge transfer state. By studying the dynamics of DCM and of itsmethyl deuterated isotopomer (an otherwise identical molecule), we areable to investigate the origins of the charge transfer state and provideevidence that it is of the controversial twisted intramolecular (TICT)type. Chapter 4 introduces the use of two-photon excitation to the S1state, combined with one-photon excitation to the S2 state of thecarotenoid beta-apo-8'-carotenal. These 2 investigations show evidencefor the formation of solitons, previously unobserved in molecular systemsand found only in conducting polymers Chapter 5 presents an investigationof the excited state dynamics of peridinin, the carotenoid responsiblefor the light harvesting of dinoflagellates. This investigation allowsfor a more detailed understanding of the importance of structuraldynamics of carotenoids in light harvesting.
Initial-state dependence of the quench dynamics in integrable quantum systems
Rigol, Marcos [Department of Physics,Georgetown University, Washington, DC 20057 (United States); Fitzpatrick, Mattias [Department of Physics,Georgetown University, Washington, DC 20057 (United States); Department of Physics, Middlebury College, Middlebury, Vermont 05753 (United States)
2011-09-15T23:59:59.000Z
We identify and study classes of initial states in integrable quantum systems that, after the relaxation dynamics following a sudden quench, lead to near-thermal expectation values of few-body observables. In the systems considered here, those states are found to be insulating ground states of lattice hard-core boson Hamiltonians. We show that, as a suitable parameter in the initial Hamiltonian is changed, those states become closer to Fock states (products of single site states) as the outcome of the relaxation dynamics becomes closer to the thermal prediction. At the same time, the energy density approaches a Gaussian. Furthermore, the entropy associated with the generalized canonical and generalized grand-canonical ensembles, introduced to describe observables in integrable systems after relaxation, approaches that of the conventional canonical and grand-canonical ensembles. We argue that those classes of initial states are special because a control parameter allows one to tune the distribution of conserved quantities to approach the one in thermal equilibrium. This helps in understanding the approach of all the quantities studied to their thermal expectation values. However, a finite-size scaling analysis shows that this behavior should not be confused with thermalization as understood for nonintegrable systems.
Dynamic State Estimation in Distributed Aircraft Electric Control Systems via Adaptive Submodularity
Murray, Richard M.
for the international space station, [10] for an aircraft electric system, and [7] for a marine vehicle power system industry signifies progress in the direction of more energy efficient vehicles. Electric systems are replac on electric power, the flight-criticality of an aircraft becomes more dependent on the electric power system
Dynamic State Estimation in Distributed Aircraft Electric Control Systems via Adaptive Submodularity
Xu , Huan
exists on diagnostics of electric power systems focusing on AC systems [5], as well as large vehicle industry signifies progress in the direction of more energy efficient vehicles. Electric systems are replac, the flight-criticality of an aircraft becomes more dependent on the electric power system as well. Because
Closser, Kristina D.; Head-Gordon, Martin, E-mail: mhg@cchem.berkeley.edu [Department of Chemistry, University of California Berkeley, Berkeley, California 94720 (United States) [Department of Chemistry, University of California Berkeley, Berkeley, California 94720 (United States); Ultrafast X-Ray Science Laboratory, Chemical Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720 (United States); Gessner, Oliver [Ultrafast X-Ray Science Laboratory, Chemical Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720 (United States)] [Ultrafast X-Ray Science Laboratory, Chemical Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720 (United States)
2014-04-07T23:59:59.000Z
The dynamics resulting from electronic excitations of helium clusters were explored using ab initio molecular dynamics. The simulations were performed with configuration interaction singles and adiabatic classical dynamics coupled to a state-following algorithm. 100 different configurations of He{sub 7} were excited into the 2s and 2p manifold for a total of 2800 trajectories. While the most common outcome (90%) was complete fragmentation to 6 ground state atoms and 1 excited state atom, 3% of trajectories yielded bound, He {sub 2}{sup *}, and <0.5% yielded an excited helium trimer. The nature of the dynamics, kinetic energy release, and connections to experiments are discussed.
Röder, Beate
Dynamics from Pump-Probe Signals S. Ramakrishna* and F. Willig Hahn-Meitner-Institut, 14109 Berlin, Germany Numerical calculations of pump-probe signals corresponding to excited-state absorption of the molecular to model the pump-probe dynamics. The continuum of semiconductor states, namely, its conduction-band levels
Li, Charles
Dynamic magnetization states of a spin valve in the presence of dc and ac currents: Synchronization and numerical calculations of dynamic magnetization states of a spin valve in the presence of dc and ac currents are expected to appear. In this paper, we consider a simple spin valve as a model system to study the problem
Estimated Value of Service Reliability for Electric Utility Customers in the United States
Sullivan, M.J.; Mercurio, Matthew; Schellenberg, Josh
2009-06-01T23:59:59.000Z
Information on the value of reliable electricity service can be used to assess the economic efficiency of investments in generation, transmission and distribution systems, to strategically target investments to customer segments that receive the most benefit from system improvements, and to numerically quantify the risk associated with different operating, planning and investment strategies. This paper summarizes research designed to provide estimates of the value of service reliability for electricity customers in the US. These estimates were obtained by analyzing the results from 28 customer value of service reliability studies conducted by 10 major US electric utilities over the 16 year period from 1989 to 2005. Because these studies used nearly identical interruption cost estimation or willingness-to-pay/accept methods it was possible to integrate their results into a single meta-database describing the value of electric service reliability observed in all of them. Once the datasets from the various studies were combined, a two-part regression model was used to estimate customer damage functions that can be generally applied to calculate customer interruption costs per event by season, time of day, day of week, and geographical regions within the US for industrial, commercial, and residential customers. Estimated interruption costs for different types of customers and of different duration are provided. Finally, additional research and development designed to expand the usefulness of this powerful database and analysis are suggested.
Combustion Process in a Spark Ignition Engine: Dynamics and Noise Level Estimation
T. Kaminski; M. Wendeker; K. Urbanowicz; G. Litak
2003-12-28T23:59:59.000Z
We analyse the experimental time series of internal pressure in a four cylinder spark ignition engine. In our experiment, performed for different spark advance angles, apart from usual cyclic changes of engine pressure we observed oscillations. These oscillations are with longer time scales ranging from one to several hundred engine cycles depending on engine working conditions. Basing on the pressure time dependence we have calculated the heat released per cycle. Using the time series of heat release to calculate the correlation coarse-grained entropy we estimated the noise level for internal combustion process. Our results show that for a smaller spark advance angle the system is more deterministic.
Los Angeles, California, May 6 -9, 2012 A Behavioral Algorithm for State of Charge Estimation
He, Lei
conditions while producing adequate re- sults with other battery types or discharge con- ditions. Moreover an electrochemical battery. A variety of methods to solve this estimation problem have been proposed in the literature. However, most of these methods either assume equivalent circuit models for the battery and thus
Real-time State Estimation on Micro-grids Ying Hu, Anthony Kuh, Aleksandar Kavcic
Kavcic, Aleksandar
. In addition, the proposed graphical model can integrate new models for solar/wind cor- relation that will help been made on the individual feeder circuit estimating the customer load characteristics. One reason for this lack of study is that there is hardly any real-time load measure- ments for individual customers
Dynamic states of cells adhering in shear flow: from slipping to rolling
C. B. Korn; U. S. Schwarz
2008-04-02T23:59:59.000Z
Motivated by rolling adhesion of white blood cells in the vasculature, we study how cells move in linear shear flow above a wall to which they can adhere via specific receptor-ligand bonds. Our computer simulations are based on a Langevin equation accounting for hydrodynamic interactions, thermal fluctuations and adhesive interactions. In contrast to earlier approaches, our model not only includes stochastic rules for the formation and rupture of bonds, but also fully resolves both receptor and ligand positions. We identify five different dynamic states of motion in regard to the translational and angular velocities of the cell. The transitions between the different states are mapped out in a dynamic state diagram as a function of the rates for bond formation and rupture. For example, as the cell starts to adhere under the action of bonds, its translational and angular velocities become synchronized and the dynamic state changes from slipping to rolling. We also investigate the effect of non-molecular parameters. In particular, we find that an increase in viscosity of the medium leads to a characteristic expansion of the region of stable rolling to the expense of the region of firm adhesion, but not to the expense of the regions of free or transient motion. Our results can be used in an inverse approach to determine single bond parameters from flow chamber data on rolling adhesion.
An Information-centric Communication Infrastructure for Real-time State Estimation of
Poll, Erik
by the use of Phasor Measurement Units (PMUs). A critical challenge in deploying PMU-based RTSE applications and scalable (re)configuration of PMU data communication for seamless full observability of power conditions in complex and dynamic scenarios. Based on the derived set of requirements for supporting PMU-based RTSE
Kalman Filter Constraint Switching for Turbofan Engine Health Estimation
Simon, Dan
Kalman Filter Constraint Switching for Turbofan Engine Health Estimation Dan Simon Cleveland State Cleveland, Ohio, 44135 Abstract Kalman filters are often used to estimate the state variables of a dynamic system. However, in the application of Kalman filters some known signal information is often either
Oladosu, Gbadebo A [ORNL] [ORNL; Kline, Keith L [ORNL] [ORNL
2013-01-01T23:59:59.000Z
The global indirect land use change (ILUC) implications of biofuel use in the United States of America (USA) from 2001 to 2010 are evaluated with a dynamic general equilibrium model. The effects of biofuels production on agricultural land area vary by year; from a net expansion of 0.17 ha per 1000 gallons produced (2002) to a net contraction of 0.13 ha per 1000 gallons (2018) in Case 1 of our simulation. In accordance with the general narrative about the implications of biofuel policy, agricultural land area increased in many regions of the world. However, oil-export dependent economies experienced agricultural land contraction because of reductions in their revenues. Reducing crude oil imports is a major goal of biofuel policy, but the land use change implications have received little attention in the literature. Simulations evaluating the effects of doubling supply elasticities for land and fossil resources show that these parameters can significantly influence the land use change estimates. Therefore, research that provides empirically-based and spatially-detailed agricultural land-supply curves and capability to project future fossil energy prices is critical for improving estimates of the effects of biofuel policy on land use.
Steady-State Dynamics of the Forest Fire Model on Complex Networks
Bancal, Jean-Daniel
2009-01-01T23:59:59.000Z
Many sociological networks, as well as biological and technological ones, can be represented in terms of complex networks with a heterogeneous connectivity pattern. Dynamical processes taking place on top of them can be very much influenced by this topological fact. In this paper we consider a paradigmatic model of non-equilibrium dynamics, namely the forest fire model, whose relevance lies in its capacity to represent several epidemic processes in a general parametrization. We study the behavior of this model in complex networks by developing the corresponding heterogeneous mean-field theory and solving it in its steady state. We provide exact and approximate expressions for homogeneous networks and several instances of heterogeneous networks. A comparison of our analytical results with extensive numerical simulations allows to draw the region of the parameter space in which heterogeneous mean-field theory provides an accurate description of the dynamics, and enlights the limits of validity of the mean-field...
Dynamics of a two-state system through a real level crossing
Militello, Benedetto D
2015-01-01T23:59:59.000Z
The dynamics of a two-state system whose energies undergo a real crossing at some instant of time is studied. At this instant, both the coupling and the detuning vanish simultaneously, which leads to an exact degeneracy of the eigenenergies of the system. It is found that the dynamics of the system is primarily determined by the manner in which the degeneracy occurs. This interesting behavior is reminiscent of a symmetry breaking process, since the totally symmetric situation occurring at the crossing is significantly altered by infinitesimal quantities, which remove the degeneracy, with very important dynamical implications from there on. A very simple analytical formula is derived, which is found to describe the population changes very accurately.
Light-Front Dynamic Analysis of Bound States in Scalar Field Model
Chueng-Ryong Ji; Yukihisa Tokunaga
2012-05-16T23:59:59.000Z
The light-front dynamics (LFD) of the scalar field model theory is analyzed to solve the two-body bound-state problem. The light-front two-body bound-state equation is extended to the full LFD kernel including the ladder, cross-ladder, stretched-box, and particle-antiparticle creation/annihilation effects to study the contributions of higher Fock-states. The light-front two-body equation is also modified by the term corresponding to the self-energy corrections and counter-terms. Using the variational principle, we obtain the numerical result of the binding energy B versus the coupling constant \\alpha\\ for various mass ratios of the constituent particles including the cases of non-zero exchange particle mass. We also discuss the correlation between the mass spectrum and the corresponding bound-state wavefunction.
Method and system to estimate variables in an integrated gasification combined cycle (IGCC) plant
Kumar, Aditya; Shi, Ruijie; Dokucu, Mustafa
2013-09-17T23:59:59.000Z
System and method to estimate variables in an integrated gasification combined cycle (IGCC) plant are provided. The system includes a sensor suite to measure respective plant input and output variables. An extended Kalman filter (EKF) receives sensed plant input variables and includes a dynamic model to generate a plurality of plant state estimates and a covariance matrix for the state estimates. A preemptive-constraining processor is configured to preemptively constrain the state estimates and covariance matrix to be free of constraint violations. A measurement-correction processor may be configured to correct constrained state estimates and a constrained covariance matrix based on processing of sensed plant output variables. The measurement-correction processor is coupled to update the dynamic model with corrected state estimates and a corrected covariance matrix. The updated dynamic model may be configured to estimate values for at least one plant variable not originally sensed by the sensor suite.
2015-01-01T23:59:59.000Z
S, Strik W, et al. Static and Dynamic Characteristics ofpone.0121757 March 27, 2015 Static and Dynamic StateJR, Yan L, Chen JJ. Dynamic and static contributions of the
Hamiltonian approach to the dynamics of Ehrenfest expectation values and Gaussian quantum states
Esther Bonet-Luz; Cesare Tronci
2015-07-09T23:59:59.000Z
The dynamics of quantum expectation values is considered in a geometric setting. First, expectation values of the canonical operators are shown to be equivariant momentum maps for the action of the Heisenberg group on quantum states. Then, the Hamiltonian structure of Ehrenfest's theorem is shown to be Lie-Poisson for a semidirect-product Lie group, named the `Ehrenfest group'. In addition, quantum dynamics is expressed in the frame of the expectation values, in which the latter undergo canonical Hamiltonian motion. In the case of Gaussian states, expectation values dynamics couples to second-order moments, which also enjoy a momentum map structure. Eventually, Gaussian states are shown to possess a Lie-Poisson structure associated to a semidirect-product subgroup of the Ehrenfest group, which is called the Jacobi group. This structure produces new energy-conserving terms in a class of Gaussian moment models (previously appeared in the chemical physics literature) that suffer from lack of energy conservation in the general case.
F. Affouard; M. Descamps
2005-02-15T23:59:59.000Z
Slow dynamics of difluorotetrachloroethane in both supercooled plastic crystal and supercooled liquid states have been investigated from Molecular Dynamics simulations. The temperature and wave-vector dependence of collective dynamics in both states are probed using coherent dynamical scattering functions $S(Q,t)$. Our results confirm the strong analogy between molecular liquids and plastic crystals for which $\\alpha$-relaxation times and non-ergodicity parameters are controlled by the non trivial static correlations $S(Q)$ as predicted by the Mode Coupling Theory. The use of infinitely thin needles distributed on a lattice as model of plastic crystals is discussed.
Estimation of the urban household demand for water in the United States
Foster, Henry Sessam
1977-01-01T23:59:59.000Z
Htctec FIi3iiary Academy Chai:man of Advisory Commi. t Lee: Br. iiruce R. B' aItie This research was rnndertai~en to specify;. nd estimat? model rc- 1- ting household demand lor urban water i. o its principal dcLcrImLnun Ls. Feud specif ic objectives... were ustabldshed to guide the analysis: To postulaLo; n srpropriaLc:-c nomic demand mcdcl for house- ho]ds uh To estimate. pam motors of *hc model based. on pcoi cd data re?resent' ng uli. of the U. H, '3. To csc-blish cL ULor:a for a. breawdcwn...
Geothermal -- The Energy Under Our Feet: Geothermal Resource Estimates for the United States
Green, B. D.; Nix, R. G.
2006-11-01T23:59:59.000Z
On May 16, 2006, the National Renewable Energy Laboratory (NREL) in Golden, Colorado hosted a geothermal resources workshop with experts from the geothermal community. The purpose of the workshop was to re-examine domestic geothermal resource estimates. The participating experts were organized into five working groups based on their primary area of expertise in the following types of geothermal resource or application: (1) Hydrothermal, (2) Deep Geothermal Systems, (3) Direct Use, (4) Geothermal Heat Pumps (GHPs), and (5) Co-Produced and Geopressured. The workshop found that the domestic geothermal resource is very large, with significant benefits.
Jake Iles-Smith; Neill Lambert; Ahsan Nazir
2014-09-25T23:59:59.000Z
Quantum systems are invariably open, evolving under surrounding influences rather than in isolation. Standard open quantum system methods eliminate all information on the environmental state to yield a tractable description of the system dynamics. By incorporating a collective coordinate of the environment into the system Hamiltonian, we circumvent this limitation. Our theory provides straightforward access to important environmental properties that would otherwise be obscured, allowing us to quantify the evolving system-environment correlations. As a direct result, we show that the generation of robust system-environment correlations that persist into equilibrium (heralded also by the emergence of non-Gaussian environmental states) renders the canonical system steady-state almost always incorrect. The resulting equilibrium states deviate markedly from those predicted by standard perturbative techniques and are instead fully characterised by thermal states of the mapped system-collective coordinate Hamiltonian. We outline how noncanonical system states could be investigated experimentally to study deviations from canonical thermodynamics, with direct relevance to molecular and solid-state nanosystems.
Haeyrynen, Teppo; Oksanen, Jani; Tulkki, Jukka [Department of Biomedical Engineering and Computational Science, Aalto University School of Science and Technology, P. O. Box 12200, FI-00076 AALTO (Finland)
2011-01-15T23:59:59.000Z
We consider simultaneous dissipative and amplifying coupling of cavity fields to multiple two-state systems. We derive a master equation for optical field in a leaky cavity coupled to a reservoir through multiple two-state systems. In our previous works we have limited our study to systems where the reservoir either solely absorbs energy (detector setup) or adds energy (amplifying setup) to the cavity through a single two-state system. In this work we allow both interactions simultaneously and derive a reduced dynamic model for the optical field. We also generalize our model to cover the coupling of the field to several two state systems and discuss its connection to macroscopic interaction, e.g., in semiconductors. Our model includes four physical parameters: the field two-state system coupling {gamma}, the excitation and deexcitation couplings of the two-state system by the reservoir {lambda}{sub A} and {lambda}{sub D}, respectively, and the mirror losses of the cavity C. We solve the steady-state fields at different regimes of these physical parameters. Furthermore, we show that, depending on the parameters, our model can describe the operation of a detector, a light emitting diode, or a laser.
Chan, Kung-Sik
Kalman Filter Kwang Woo Ahn Division of Biostatistics Medical College of Wisconsin, Milwaukee, WI 53226 function computed approximately via unscented Kalman filter (UKF). We derive conditions 1 #12;under which. ---------------------------- Keywords: Nonlinear time series; State-space model; Unscented Kalman filter; SIR model. 1. INTRODUCTION
A Biochemical Upper Ocean State Estimate in the Southern Ocean GasEx Region
Haine, Thomas W. N.
Methods: Data Sources: In-situ: T, S, CDOM (350, 380, 400 nm), SF6 from SO GasEx cruise. Satellite: Sea. CDOM photodegradation model (del Vecchio & Blough, 2002). SF6 model including deliberate release multipliers ("4DVAR" method). Controls are Initial conditions for T, S, (u, v), CDOM,& SF6 . The state
Quantum dynamics of a two-state system induced by a chirped zero-area pulse
Lee, Han-gyeol; Kim, Hyosub; Jo, Hanlae; Ahn, Jaewook
2015-01-01T23:59:59.000Z
We report our theoretical and experimental investigation of chirped zero-area pulse interaction with a two-state system. With femto-second laser pulses shaped to have a frequency chirp and a spectral hole at resonance, we demonstrate three major coherent dynamics in two-state systems: zero-area pulse excitations, Rabi-like oscillations, and rapid adiabatic passage. The underlying mechanism behind these rich coherent phenomena is the interplay between the adiabatic evolution and the Rabi-like evolution, respectively, induced by the chirp and the spectral hole. The result suggests that a Rabi-like oscillation can be embedded in an adiabatic evolution, offering a new control scheme towards selective excitation in multi-state quantum systems.
Estimated Benefits of IBWC Rio Grande Flood-Control Projects in the United States
Sturdivant, Allen W.; Lacewell, Ronald D.; Michelsen, Ari M.; Rister, M. Edward; Assadian, Naomi; Eriksson, Marian; Freeman, Roger; Jacobs, Jennifer H.; Madison, W. Tom; McGuckin, James T.; Morrison, Wendy; Robinson, John R.C.; Staats, Chris; Sheng, Zhuping; Srinivasan, R.; Villalobos, Joshua I.
2004-01-01T23:59:59.000Z
Rio Grande Flood-Control Projects in the United States Allen W. Sturdivant Ronald D. Lacewell Ari M. Michelsen M. Edward Rister Naomi Assadian Marian Eriksson Roger Freeman Jennifer H. Jacobs W. Tom Madison James T. McGuckin Wendy... Naomi Assadian Marian Eriksson Roger Freeman Jennifer H. Jacobs W. Tom Madison James T. McGuckin Wendy Morrison John R. C. Robinson Chris Staats Zhuping Sheng R. Srinivasan Joshua I. Villalobos Project management provided by Sturdivant, Extension...
Hansen, James E.
U.S. Energy Information Administration / Annual Energy Review 2011 341 Table E1. Estimated Primary of Statistics for 16351945," at end of section. Sources: Coal, Natural Gas, and Petroleum: Energy in the United States 1630-1930, February 1942. This source estimates fuelwood consumption in cords per decade
Mi, Chunting "Chris"
Estimation of Lithium-Ion Batteries Based on a Proportional-Integral Observer Jun Xu, Student Member, IEEE--With the development of electric drive vehicles (EDVs), the state-of-charge (SOC) estimation for lithium-ion (Li of lithium-ion batteries in EDVs. The structure of the proposed PI observer is analyzed, and the con
Mi, Chunting "Chris"
Estimation of Lithium-Ion Batteries Based on a Proportional-Integral Observer Jun Xu, Student Member, IEEE--With the development of electric drive vehicles (EDVs), the state-of-charge (SOC) estimation for lithium-ion (Li-ion of lithium-ion batteries in EDVs. The structure of the proposed PI observer is analyzed, and the con
Guido Tiana; Carlo Camilloni
2012-07-05T23:59:59.000Z
The atomistic characterization of the transition state is a fundamental step to improve the understanding of the folding mechanism and the function of proteins. From a computational point of view, the identification of the conformations that build out the transition state is particularly cumbersome, mainly because of the large computational cost of generating a statistically-sound set of folding trajectories. Here we show that a biasing algorithm, based on the physics of the ratchet-and-pawl, can be used to identify efficiently the transition state. The basic idea is that the algorithmic ratchet exerts a force on the protein when it is climbing the free-energy barrier, while it is inactive when it is descending. The transition state can be identified as the point of the trajectory where the ratchet changes regime. Besides discussing this strategy in general terms, we test it within a protein model whose transition state can be studied independently by plain molecular dynamics simulations. Finally, we show its power in explicit-solvent simulations, obtaining and characterizing a set of transition--state conformations for ACBP and CI2.
Torres-Verdín, Carlos
Estimation of dynamic petrophysical properties of water-bearing sands invaded with oil-base mud, capillary pressure, and relative permeability of water-bearing sands invaded with oil-base mud (OBM) from-saturated sands are used for calibration of equivalent properties in hydrocarbon-bearing sands within the same
Tennessee, University of
Quantum distillation: Dynamical generation of low-entropy states of strongly correlated fermions of double occupancies. We promote the notion of quantum distillation: during the expansion and in the case
Dynamics and BPS states of AdS5 supergravity with a Gauss-Bonnet term
Olivera Miskovic; Ricardo Troncoso; Jorge Zanelli
2006-03-23T23:59:59.000Z
Some dynamical aspects of five-dimensional supergravity as a Chern-Simons theory for the SU(2,2|N) group, are analyzed. The gravitational sector is described by the Einstein-Hilbert action with negative cosmological constant and a Gauss-Bonnet term with a fixed coupling. The interaction between matter and gravity is characterized by intricate couplings which give rise to dynamical features not present in standard theories. Depending on the location in phase space, the dynamics can possess different number of propagating degrees of freedom, including purely topological sectors. This inhomogeneity of phase space requires special care in the analysis. Background solutions in the canonical sectors, which have regular dynamics with maximal number of degrees of freedom, are shown to exist. Within this class, explicit solutions given by locally AdS spacetimes with nontrivial gauge fields are constructed, and BPS states are identified. It is shown that the charge algebra acquires a central extension due to the presence of the matter fields. The Bogomol'nyi bound for these charges is discussed. Special attention is devoted to the N=4 case since then the gauge group has a U(1) central charge and the phase space possesses additional irregular sectors.
Danel, J.-F.; Blottiau, P.; Kazandjian, L.; Piron, R.; Torrent, M. [CEA, DAM, DIF, 91297 Arpajon (France)
2014-10-15T23:59:59.000Z
The applicability of quantum molecular dynamics to the calculation of the equation of state of a dense plasma is limited at high temperature by computational cost. Orbital-free molecular dynamics, based on a semiclassical approximation and possibly on a gradient correction, is a simulation method available at high temperature. For a high-Z element such as lutetium, we examine how orbital-free molecular dynamics applied to the equation of state of a dense plasma can be regarded as the limit of quantum molecular dynamics at high temperature. For the normal mass density and twice the normal mass density, we show that the pressures calculated with the quantum approach converge monotonically towards those calculated with the orbital-free approach; we observe a faster convergence when the orbital-free approach includes the gradient correction. We propose a method to obtain an equation of state reproducing quantum molecular dynamics results up to high temperatures where this approach cannot be directly implemented. With the results already obtained for low-Z plasmas, the present study opens the way for reproducing the quantum molecular dynamics pressure for all elements up to high temperatures.
Input estimation from measured structural response
Harvey, Dustin [Los Alamos National Laboratory; Cross, Elizabeth [Los Alamos National Laboratory; Silva, Ramon A [Los Alamos National Laboratory; Farrar, Charles R [Los Alamos National Laboratory; Bement, Matt [Los Alamos National Laboratory
2009-01-01T23:59:59.000Z
This report will focus on the estimation of unmeasured dynamic inputs to a structure given a numerical model of the structure and measured response acquired at discrete locations. While the estimation of inputs has not received as much attention historically as state estimation, there are many applications where an improved understanding of the immeasurable input to a structure is vital (e.g. validating temporally varying and spatially-varying load models for large structures such as buildings and ships). In this paper, the introduction contains a brief summary of previous input estimation studies. Next, an adjoint-based optimization method is used to estimate dynamic inputs to two experimental structures. The technique is evaluated in simulation and with experimental data both on a cantilever beam and on a three-story frame structure. The performance and limitations of the adjoint-based input estimation technique are discussed.
Estimated winter 1980-1981 electric demand and supply, contiguous United States. Staff report
None
1980-12-01T23:59:59.000Z
This report summarizes the most recent data available concerning projected electrical peak demands and available power resouces for the 1980-1981 winter peak period, as reported by electric utilities in the contiguous United States. The data, grouped by Regional Reliability Council areas and by Electrical Regions within the Council areas, was obtained from the Form 12E-2 reports filed by utilities with the Department of Energy on October 15, 1980 (data as of September 30). In some instances the data were revised or verified by telephone. Considerations affecting reliability, arising from Nuclear Regulatory Commission actions based on lessons learned from the forced outage of Three Mile Island Nuclear Unit No. 2, were factored into the report. No widespread large-scale reliability problems are foreseen for electric power supply this winter, on the basis of the supply and demand projections furnished by the electric utilities. Reserve margins could drop in some electric regions to levels considered inadequate for reliable service, if historical forced-outage magnitudes recur.
Guallar, V.; Batista, V.S.; Miller, W.H. [Department of Chemistry, University of California, and Chemical Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720 (United States)] [Department of Chemistry, University of California, and Chemical Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720 (United States)
1999-05-01T23:59:59.000Z
An {ital ab initio} excited state potential energy surface is constructed for describing excited state double proton transfer in the tautomerization reaction of photo-excited 7-azaindole dimers, and the ultrafast dynamics is simulated using the semiclassical (SC) initial value representation (IVR). The potential energy surface, determined in a reduced dimensionality, is obtained at the CIS level of quantum chemistry, and an approximate version of the SC-IVR approach is introduced which scales {ital linearly} with the number of degrees of freedom of the molecular system. The accuracy of this approximate SC-IVR approach is verified by comparing our semiclassical results with full quantum mechanical calculations. We find that proton transfer usually occurs during the first intermonomer symmetric-stretch vibration, about 100 fs after photoexcitation of the system, and produces an initial 15 percent population decay of the reactant base-pair, which is significantly reduced by isotopic substitution. {copyright} {ital 1999 American Institute of Physics.} thinsp
Dynamics of global ocean heat transport variability
Jayne, Steven Robert
1999-01-01T23:59:59.000Z
A state-of-the-art, high-resolution ocean general circulation model is used to estimate the time-dependent global ocean heat transport and investigate its dynamics. The north-south heat transport is the prime manifestation ...
Gusev, Guennady
2006-01-01T23:59:59.000Z
Solid State Nuclear Magnetic Resonance 29 (2006) 5265 Dynamic nuclear polarization and nuclear Nuclear magnetic resonance is detected via the in-plane conductivity of a two-dimensional electron system edge states at the perimeter of the 2DES. Interpretation of the electron-nuclear double resonance
Ground-state and dynamical properties of two-dimensional dipolar Fermi liquids
Abedinpour, Saeed H., E-mail: abedinpour@iasbs.ac.ir [Department of Physics, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan 45137-66731 (Iran, Islamic Republic of); School of Physics, Institute for Research in Fundamental Sciences (IPM), Tehran 19395-5531 (Iran, Islamic Republic of); Asgari, Reza [School of Physics, Institute for Research in Fundamental Sciences (IPM), Tehran 19395-5531 (Iran, Islamic Republic of)] [School of Physics, Institute for Research in Fundamental Sciences (IPM), Tehran 19395-5531 (Iran, Islamic Republic of); Tanatar, B. [Department of Physics, Bilkent University, Bilkent, 06800 Ankara (Turkey)] [Department of Physics, Bilkent University, Bilkent, 06800 Ankara (Turkey); Polini, Marco [NEST, Istituto Nanoscienze-CNR and Scuola Normale Superiore, I-56126 Pisa (Italy)] [NEST, Istituto Nanoscienze-CNR and Scuola Normale Superiore, I-56126 Pisa (Italy)
2014-01-15T23:59:59.000Z
We study the ground-state properties of a two-dimensional spin-polarized fluid of dipolar fermions within the Euler–Lagrange Fermi-hypernetted-chain approximation. Our method is based on the solution of a scattering Schrödinger equation for the “pair amplitude” ?(g(r)), where g(r) is the pair distribution function. A key ingredient in our theory is the effective pair potential, which includes a bosonic term from Jastrow–Feenberg correlations and a fermionic contribution from kinetic energy and exchange, which is tailored to reproduce the Hartree–Fock limit at weak coupling. Very good agreement with recent results based on quantum Monte Carlo simulations is achieved over a wide range of coupling constants up to the liquid-to-crystal quantum phase transition. Using the fluctuation–dissipation theorem and a static approximation for the effective inter-particle interactions, we calculate the dynamical density–density response function, and furthermore demonstrate that an undamped zero-sound mode exists for any value of the interaction strength, down to infinitesimally weak couplings. -- Highlights: •We have studied the ground state properties of a strongly correlated two-dimensional fluid of dipolar fermions. •We have calculated the effective inter-particle interaction and the dynamical density–density response function. •We have shown that an undamped zero sound mode exists at any value of the interaction strength.
Kalman Filtering with Inequality Constraints for Turbofan Engine Health Estimation
Simon, Dan
Kalman Filtering with Inequality Constraints for Turbofan Engine Health Estimation ¤ Dan Simon, OH 44115 Cleveland, OH 44135 Abstract Kalman ¯lters are often used to estimate the state variables of a dynamic system. However, in the application of Kalman ¯lters some known signal information is often either
Dynamic dipole polarizabilities for the low-lying triplet states of helium
Zhang, Yong-Hui; Zhang, Xian-Zhou; Shi, Ting-Yun
2015-01-01T23:59:59.000Z
The dynamic dipole polarizabilities for the four lowest triplet states ($2\\,^3S$, $3\\,^3S$, $2\\,^3P$ and $3\\,^3P$) of helium are calculated using the B-spline configuration interaction method. Present values of the static dipole polarizabilities in the length, velocity and acceleration gauges are in good agreement with the best Hylleraas results. Also the tune-out wavelengths in the range from 400 nm to 4.2~$\\mu$m for the four lowest triplet states are identified, and the magic wavelengths in the range from 460~nm to 3.5~$\\mu$m for the $2\\,^3S \\to 3\\,^3S$, $2\\,^3S \\to 2\\,^3P$, and $2\\,^3S \\to 3\\,^3P$ transitions are determined. We show that the tune-out wavelength of $2\\,^3S$ state is 413.038 28(3) nm, which corroborates the value of Mitroy and Tang (Phys. Rev. A 88, 052515 (2013)), and the magic wavelength around 1066 nm for the $2\\,^3S \\to 3\\,^3P$ transition can be expected for precision measurement to determine the ratio of transition matrix elements $(2\\,^3S \\to 2\\,^3P) / (3\\,^3P\\to 6\\,^3S)$.
Ozkale, Aslihan
2007-04-25T23:59:59.000Z
OVERPRESSURE PREDICTION BY MEAN TOTAL STRESS ESTIMATE USING WELL LOGS FOR COMPRESSIONAL ENVIRONMENTS WITH STRIKE-SLIP OR REVERSE FAULTING STRESS STATE A Thesis by ASLIHAN OZKALE Submitted to the Office of Graduate Studies... of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE December 2006 Major Subject: Petroleum Engineering OVERPRESSURE PREDICTION BY MEAN TOTAL STRESS ESTIMATE USING WELL LOGS...
Paul, P.; Bhattacharyya, D.; Turton, R.; Zitney, S.
2012-01-01T23:59:59.000Z
An accurate estimation of process state variables not only can increase the effectiveness and reliability of process measurement technology, but can also enhance plant efficiency, improve control system performance, and increase plant availability. Future integrated gasification combined cycle (IGCC) power plants with CO2 capture will have to satisfy stricter operational and environmental constraints. To operate the IGCC plant without violating stringent environmental emission standards requires accurate estimation of the relevant process state variables, outputs, and disturbances. Unfortunately, a number of these process variables cannot be measured at all, while some of them can be measured, but with low precision, low reliability, or low signal-to-noise ratio. As a result, accurate estimation of the process variables is of great importance to avoid the inherent difficulties associated with the inaccuracy of the data. Motivated by this, the current paper focuses on the state estimation of an acid gas removal (AGR) process as part of an IGCC plant with CO2 capture. This process has extensive heat and mass integration and therefore is very suitable for testing the efficiency of the designed estimators in the presence of complex interactions between process variables. The traditional Kalman filter (KF) (Kalman, 1960) algorithm has been used as a state estimator which resembles that of a predictor-corrector algorithm for solving numerical problems. In traditional KF implementation, good guesses for the process noise covariance matrix (Q) and the measurement noise covariance matrix (R) are required to obtain satisfactory filter performance. However, in the real world, these matrices are unknown and it is difficult to generate good guesses for them. In this paper, use of an adaptive KF will be presented that adapts Q and R at every time step of the algorithm. Results show that very accurate estimations of the desired process states, outputs or disturbances can be achieved by using the adaptive KF.
Dynamically Controlled Resonance Fluorescence from a Doubly Dressed Solid-State Single Emitter
Yu He; Y. -M. He; J. Liu; Y. -J. Wei; H. Ramirez; M. Atatüre; C. Schneider; M. Kamp; S. Höfling; C. -Y. Lu; J. -W. Pan
2014-11-22T23:59:59.000Z
We report the first experimental demonstration of interference-induced spectral line elimination predicted by Zhu and Scully [Phys. Rev. Lett. 76, 388 (1996)] and Ficek and Rudolph [Phys. Rev. A 60, 4245 (1999)]. We drive an exciton transition of a self-assembled quantum dot in order to realize a two-level system exposed to bichromatic laser field and observe nearly complete elimination of the resonance fluorescence spectral line at the driving laser frequency. This is caused by quantum interference between coupled transitions among the doubly dressed excitonic states, without population trapping. We also demonstrate multiphoton ac Stark effect with shifted subharmonic resonances and dynamical modifications of resonance fluorescence spectra by using double dressing.
.S.), regardless of age, sex, race, or ethnicity. Although the exact cause of asthma is unknown and it cannotAsthma in New York State Asthma is a chronic lung disease that affects an estimated 16.4 million exposure to environmental triggers. The following data provide an overview of the burden of asthma in New
Frothy Bloat Mitigation in Grazing Cattle Frothy bloat impacts on cattle production in the United States in 1999 were estimated to be greater than $300 million dollars. Frothy bloat is the major nonpathogenic cause of death loss and depressed weight gains in stocker cattle grazing winter wheat
van Stokkum, Ivo
J. Phys. Chem. 1994, 98, 10539-10549 10539 Excited-State Conformational Dynamics of Flexibly and Semirigidly Bridged Electron Donor- Acceptor Systems in Solution. Influence of Temperature and Solvent was either a flexible trimethylene chain or a semirigid piperidine ring. Photoexcitation of the semirigidly
Kalman Filtering with State Equality Constraints
Simon, Dan
Kalman Filtering with State Equality Constraints DAN SIMON, Member, IEEE Cleveland State University TIEN LI CHIA, Member, IEEE ControlSoft, Inc. Kalman filters are commonly used to estimate the states of a dynamic system. However, in the application of Kalman filters there is often known model or signal
Single-shot spectroscopy of solid-state photoinduced dynamics far from equilibrium
Wolfson, Johanna Wendlandt
2013-01-01T23:59:59.000Z
Ultrafast single-shot spectroscopy was developed and improved as a method to observe photoinduced dynamics far from equilibrium. The method was then employed to illuminate material dynamics in platinum-halide quasi-one-dimensional ...
Finding Bugs in Web Applications Using Dynamic Test Generation and Explicit State Model Checking
Tip, Frank
2009-03-26T23:59:59.000Z
Web script crashes and malformed dynamically-generated web pages are common errors, and they seriously impact the usability of web applications. Current tools for web-page validation cannot handle the dynamically generated ...
Busby, R.L.; Ward, K.B.
1989-01-01T23:59:59.000Z
A model was devised to estimate the harvest value of unthinned loblolly and slash pine (pinus taeda L. and P. elliottii var. elliottii Englm.) plantations in the west gulf region. The model, MERCHOP, can be used to forecast product volumes and values; the output provided is partitioned into 1-inch tree d.b.h. classes. Using a dynamic programming algorithm, MERCHOP can be used to convert stand tables predicted by USLYCOWG's three-parameter Weibull function into a listing of seven products that maximizes the selling value of the stand, assuming the assumptions used in the analysis are correct.
Qu, Zhihua
428 IEEE TRANSACTIONS ON POWER DELIVERY, VOL. 30, NO. 1, FEBRUARY 2015 Development of Dynamic an islanding condi- tion from other disturbances that may occur in power system net- works. Index Terms of Engineering, Cairo University, Giza, Egypt, are with the Department of Elec- trical Engineering and Computer
Hoff, Nicholas R
2007-01-01T23:59:59.000Z
Modularity is a promising design concept for space systems. In a modular satellite, the individual subsystems would be broken down into physically distinct modules, which would then dynamically recombine into an aggregate ...
Paris-Sud XI, Université de
SimHydro 2012: Hydraulic modeling and uncertainty, 12-14 September 2012, Sophia Antipolis N. Jean-Baptiste, C. Dorée, P-O. Malaterre, J. Sau - Data assimilation for hydraulic state estimation of a development project Data assimilation for hydraulic state estimation of a development project Assimilation de données
Evolutionary dynamic optimization: A survey of the state of the art
2012-04-09T23:59:59.000Z
[68] E. Alba, B. Sarasola, Measuring fitness degradation in dynamic optimiza-. 1561 tion problems, in: European Workshops on Applications of Evolutionary.
Solid-State Dynamic Nuclear Polarization at 263 GHz: Spectrometer Design and Experimental Results
Rosay, Melanie
Dynamic Nuclear Polarization (DNP) experiments transfer polarization from electron spins to nuclear spins with microwave irradiation of the electron spins for enhanced sensitivity in nuclear magnetic resonance (NMR) ...
Colaiori, Francesca; Cuskley, Christine F; Loreto, Vittorio; Pugliese, Martina; Tria, Francesca
2014-01-01T23:59:59.000Z
Empirical evidence shows that the rate of irregular usage of English verbs exhibits discontinuity as a function of their frequency: the most frequent verbs tend to be totally irregular. We aim to qualitatively understand the origin of this feature by studying simple agent--based models of language dynamics, where each agent adopts an inflectional state for a verb and may change it upon interaction with other agents. At the same time, agents are replaced at some rate by new agents adopting the regular form. In models with only two inflectional states (regular and irregular), we observe that either all verbs regularize irrespective of their frequency, or a continuous transition occurs between a low frequency state where the lemma becomes fully regular, and a high frequency one where both forms coexist. Introducing a third (mixed) state, wherein agents may use either form, we find that a third, qualitatively different behavior may emerge, namely, a discontinuous transition in frequency. We introduce and solve an...
Chen, Min; Zhuang, Qianlai; Cook, D.; Coulter, Richard L.; Pekour, Mikhail S.; Scott, Russell L.; Munger, J. W.; Bible, Ken
2011-08-31T23:59:59.000Z
Satellite remote sensing provides continuous temporal and spatial information of terrestrial ecosystems. Using these remote sensing data and eddy flux measurements and biogeochemical models, such as the Terrestrial Ecosystem Model (TEM), should provide a more adequate quantification of carbon dynamics of terrestrial ecosystems. Here we use Moderate Resolution Imaging Spectroradiometer (MODIS) Enhanced Vegetation Index (EVI), Land Surface Water Index (LSWI) and carbon flux data of AmeriFlux to conduct such a study. We first modify the gross primary production (GPP) modeling in TEM by incorporating EVI and LSWI to account for the effects of the changes of canopy photosynthetic capacity, phenology and water stress. Second, we parameterize and verify the new version of TEM with eddy flux data. We then apply the model to the conterminous United States over the period 2000-2005 at a 0.05-0.05 spatial resolution. We find that the new version of TEM made improvement over the previous version and generally captured the expected temporal and spatial patterns of regional carbon dynamics. We estimate that regional GPP is between 7.02 and 7.78 PgC yr{sup -1} and net primary production (NPP) ranges from 3.81 to 4.38 Pg Cyr{sup -1} and net ecosystem production (NEP) varies within 0.08- 0.73 PgC yr{sup -1} over the period 2000-2005 for the conterminous United States. The uncertainty due to parameterization is 0.34, 0.65 and 0.18 PgC yr{sup -1} for the regional estimates of GPP, NPP and NEP, respectively. The effects of extreme climate and disturbances such as severe drought in 2002 and destructive Hurricane Katrina in 2005 were captured by the model. Our study provides a new independent and more adequate measure of carbon fluxes for the conterminous United States, which will benefit studies of carbon-climate feedback and facilitate policy-making of carbon management and climate.
Chen, Min; Zhuang, Qianlai; Cook, David R.; Coulter, Richard L.; Pekour, Mikhail S.; Scott, Russell L.; Munger, J. W.; Bible, Ken
2011-09-21T23:59:59.000Z
Satellite remote sensing provides continuous temporal and spatial information of terrestrial 24 ecosystems. Using these remote sensing data and eddy flux measurements and biogeochemical 25 models, such as the Terrestrial Ecosystem Model (TEM), should provide a more adequate 26 quantification of carbon dynamics of terrestrial ecosystems. Here we use Moderate Resolution 27 Imaging Spectroradiometer (MODIS) Enhanced Vegetation Index (EVI), Land Surface Water Index 28 (LSWI) and carbon flux data of AmeriFlux to conduct such a study. We first modify the gross primary 29 production (GPP) modeling in TEM by incorporating EVI and LSWI to account for the effects of the 30 changes of canopy photosynthetic capacity, phenology and water stress. Second, we parameterize and 31 verify the new version of TEM with eddy flux data. We then apply the model to the conterminous 32 United States over the period 2000-2005 at a 0.05o ×0.05o spatial resolution. We find that the new 33 version of TEM generally captured the expected temporal and spatial patterns of regional carbon 34 dynamics. We estimate that regional GPP is between 7.02 and 7.78 Pg C yr-1 and net primary 35 production (NPP) ranges from 3.81 to 4.38 Pg C yr-1 and net ecosystem production (NEP) varies 36 within 0.08-0.73 Pg C yr-1 over the period 2000-2005 for the conterminous United States. The 37 uncertainty due to parameterization is 0.34, 0.65 and 0.18 Pg C yr-1 for the regional estimates of GPP, 38 NPP and NEP, respectively. The effects of extreme climate and disturbances such as severe drought in 39 2002 and destructive Hurricane Katrina in 2005 were captured by the model. Our study provides a 40 new independent and more adequate measure of carbon fluxes for the conterminous United States, 41 which will benefit studies of carbon-climate feedback and facilitate policy-making of carbon 42 management and climate.
Trattner, Sigal [Department of Medicine, Division of Cardiology, Columbia University Medical Center and New York-Presbyterian Hospital, New York, New York 10032 (United States)] [Department of Medicine, Division of Cardiology, Columbia University Medical Center and New York-Presbyterian Hospital, New York, New York 10032 (United States); Cheng, Bin [Department of Biostatistics, Columbia University Mailman School of Public Health, New York, New York 10032 (United States)] [Department of Biostatistics, Columbia University Mailman School of Public Health, New York, New York 10032 (United States); Pieniazek, Radoslaw L. [Center for Radiological Research, Columbia University Medical Center and New York-Presbyterian Hospital, New York, New York 10032 (United States)] [Center for Radiological Research, Columbia University Medical Center and New York-Presbyterian Hospital, New York, New York 10032 (United States); Hoffmann, Udo [Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114 (United States)] [Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114 (United States); Douglas, Pamela S. [Department of Medicine, Division of Cardiology, Duke University, Durham, North Carolina 27715 (United States)] [Department of Medicine, Division of Cardiology, Duke University, Durham, North Carolina 27715 (United States); Einstein, Andrew J., E-mail: andrew.einstein@columbia.edu [Department of Medicine, Division of Cardiology, Columbia University Medical Center and New York-Presbyterian Hospital, New York, New York and Department of Radiology, Columbia University Medical Center and New York-Presbyterian Hospital, New York, New York (United States)
2014-04-15T23:59:59.000Z
Purpose: Effective dose (ED) is a widely used metric for comparing ionizing radiation burden between different imaging modalities, scanners, and scan protocols. In computed tomography (CT), ED can be estimated by performing scans on an anthropomorphic phantom in which metal-oxide-semiconductor field-effect transistor (MOSFET) solid-state dosimeters have been placed to enable organ dose measurements. Here a statistical framework is established to determine the sample size (number of scans) needed for estimating ED to a desired precision and confidence, for a particular scanner and scan protocol, subject to practical limitations. Methods: The statistical scheme involves solving equations which minimize the sample size required for estimating ED to desired precision and confidence. It is subject to a constrained variation of the estimated ED and solved using the Lagrange multiplier method. The scheme incorporates measurement variation introduced both by MOSFET calibration, and by variation in MOSFET readings between repeated CT scans. Sample size requirements are illustrated on cardiac, chest, and abdomen–pelvis CT scans performed on a 320-row scanner and chest CT performed on a 16-row scanner. Results: Sample sizes for estimating ED vary considerably between scanners and protocols. Sample size increases as the required precision or confidence is higher and also as the anticipated ED is lower. For example, for a helical chest protocol, for 95% confidence and 5% precision for the ED, 30 measurements are required on the 320-row scanner and 11 on the 16-row scanner when the anticipated ED is 4 mSv; these sample sizes are 5 and 2, respectively, when the anticipated ED is 10 mSv. Conclusions: Applying the suggested scheme, it was found that even at modest sample sizes, it is feasible to estimate ED with high precision and a high degree of confidence. As CT technology develops enabling ED to be lowered, more MOSFET measurements are needed to estimate ED with the same precision and confidence.
State-to-state dynamics of the H{sup *}(n) + HD ? D{sup *}(n{sup ?}) + H{sub 2} reactive scattering
Yu, Shengrui; Su, Shu; Dai, Dongxu; Yuan, Kaijun, E-mail: kjyuan@dicp.ac.cn, E-mail: xmyang@dicp.ac.cn; Yang, Xueming, E-mail: kjyuan@dicp.ac.cn, E-mail: xmyang@dicp.ac.cn [State Key Laboratory of Molecular Reaction Dynamics, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian 116023 (China)] [State Key Laboratory of Molecular Reaction Dynamics, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian 116023 (China)
2014-01-21T23:59:59.000Z
The state-to-state dynamics of the H{sup *}(n) + HD ? D{sup *}(n{sup ?}) + H{sub 2} reactive scattering at the collision energy of 0.5 eV have been carried out for the first time by using H-atom Rydberg tagging time-of-flight technique. Experimental results show that the angular distribution of the total H{sub 2} products presents clearly forward-backward asymmetric, which considerably differs from that of the corresponding H{sup +} + HD ? D{sup +} + H{sub 2} reaction predicted by previously theoretical calculations. Such disagreement between these two processes suggests that the Fermi independent-collider model is also not valid in describing the dynamics of isotopic variants of the H{sup *} + H{sub 2} reaction. The rotational state distribution of the H{sub 2} products demonstrates a saw-toothed distribution with odd-j{sup ?} > even-j{sup ?}. This interesting observation is strongly influenced by nuclear spin statistics.
Desynchronized Multi-State Abstractions for Open Programs in Dynamic Languages
Rival, Xavier
. Dynamic language library developers face a challenging problem: ensuring that their libraries will behave stems from the common use of two defining features for dynamic languages: callbacks into client code, the second abstraction tracks attribute name/value pairs across the execution of a library. We implement
Truong, Thanh N.
of a focusing technique to minimize the number of electronic structure calculations, while still preservingA direct ab inifio dynamics approach for calculating thermal rate constants using variational dynamics, " for calculations of thermal rate constants and related properties from first principles
Fluid transport properties by equilibrium molecular dynamics. I. Methodology at extreme fluid states
Dysthe, Dag Kristian
Fluid transport properties by equilibrium molecular dynamics. I. Methodology at extreme fluid. We are interested in obtaining a complete picture of the transport mechanisms in molecular fluids 17 November 1998 The Green-Kubo formalism for evaluating transport coefficients by molecular dynamics
Online Calibration for Dynamic Traffic Constantinos Antoniou
Bertini, Robert L.
Online Calibration for Dynamic Traffic Assignment Constantinos Antoniou October 5, 2007 Seminarline DTA framework Demand simulator Supply simulator State estimation and model calibration Network calibration approaches include subset of these models Seminar at Portland State University 3 #12;Constantinos
Robertazzi, Thomas G.
computational data that are being gener- ated in the high energy and nuclear physics experiments de- mand new energy and nuclear physi- cists located at 40 institutions in the United States, France, Russia, Germany volume loads) on a Grid environment when the resource availability at sinks varies randomly over time
Dynamics of Nonlocality for A Two-Mode Squeezed State in Thermal Environment
Hyunseok Jeong; Jinhyoung Lee; M. S. Kim
2000-03-18T23:59:59.000Z
We investigate the time evolution of nonlocality for a two-mode squeezed state in the thermal environment. The initial two-mode pure squeezed state is nonlocal with a stronger nonlocality for a larger degree of squeezing. It is found that the larger the degree of initial squeezing is, the more rapidly the squeezed state loses its nonlocality. We explain this by the rapid destruction of quantum coherence for the strongly squeezed state.
High-resolution high-frequency dynamic nuclear polarization for biomolecular solid state NMR
Barnes, Alexander B. (Alexander Benjamin)
2011-01-01T23:59:59.000Z
Dynamic Nuclear Polarization (DNP) has exploded in popularity over the last few years, finally realizing its potential to overcome the detrimental lack of sensitivity that has plagued performing NMR experiments. Applied ...
Chang-hua Zhu; Chang-xing Pei; Dong-xiao Quan; Nan Chen; Yun-hui Yi
2009-08-30T23:59:59.000Z
We investigate the polarization state dynamics of single photon pulse for optical fiber quantum communication channels. On the basis of a birefringence vector model in which amplitude and direction are both stochastic variables, Jones vector is obtained by solving the frequency domain wave equation. The fidelity of output quantum state and degree of polarization of the pulse are also obtained from the density operators. It is shown that the fidelity of quantum state decreases quickly and tends to a stable value along optical fiber, and increases for larger mean fluctuation magnitude of the stochastic fiber birefringence. Degree of polarization is nearly constant for small mean fluctuation magnitude of the birefringence. The fidelity and degree of polarization vary in the same way for Gaussian and rectangular frequency spectrum envelope, while the value of Lorentzian spectrum is smaller.
Diegert, Carl F.
2006-12-01T23:59:59.000Z
We define a new diagnostic method where computationally-intensive numerical solutions are used as an integral part of making difficult, non-contact, nanometer-scale measurements. The limited scope of this report comprises most of a due diligence investigation into implementing the new diagnostic for measuring dynamic operation of Sandia's RF Ohmic Switch. Our results are all positive, providing insight into how this switch deforms during normal operation. Future work should contribute important measurements on a variety of operating MEMS devices, with insights that are complimentary to those from measurements made using interferometry and laser Doppler methods. More generally, the work opens up a broad front of possibility where exploiting massive high-performance computers enable new measurements.
Towards a dynamics-based estimate of the extent of HR 8799's unresolved warm debris belt
Contro, B; Horner, J; Marshall, J P
2015-01-01T23:59:59.000Z
In many ways, the HR8799 system resembles our Solar system more closely than any other discovered to date - albeit on a larger, younger, and more dramatic scale - featuring four giant planets and two debris belts. The first belt lies beyond the orbit of the outer planet, and mirrors our Solar system's Edgeworth-Kuiper belt. The second belt lies interior to the orbit of the inner planet, HR8799e, and is analogous to our Asteroid Belt. With such a similar architecture, the system is a valuable laboratory for examining exoplanet dynamics, and the interaction between debris disks and planets. In recent years, HR8799's outer disk has been relatively well characterised, primarily using the Herschel Space Observatory. In contrast, the inner disk, too close to HR8799 to be spatially resolved by Herschel, remains poorly understood. This leaves significant questions over both the location of the planetesimals responsible for producing the observed dust, and the physical properties of those grains. We have performed ext...
Xiao, Jingfeng; Zhuang, Qianlai; Baldocchi, Dennis D.; Bolstad, Paul V.; Burns, Sean P.; Chen, Jiquan; Cook, David R.; Curtis, Peter S.; Drake, Bert G.; Foster, David R.; Gu, Lianhong; Hadley, Julian L.; Hollinger, David Y.; Katul, Gabriel G.; Law, Beverly E.; Litvak, Marcy; Ma, Siyan; Martin, Timothy A.; Matamala, Roser; McNulty, Steve; Meyers, Tilden P.; Monson, Russell K.; Munger, J. William; Noormets, Asko; Oechel, Walter C.; Oren, Ram; Richardson, Andrew D.; Schmid, Hans Peter; Scott, Russell L.; Starr, Gregory; Sun, Ge; Suyker, Andrew E.; Torn, Margaret S.; Paw, Kyaw; Verma, Shashi B.; Wharton, Sonia; Wofsy, Steven C.
2008-10-01T23:59:59.000Z
Eddy covariance flux towers provide continuous measurements of net ecosystem carbon exchange (NEE) for a wide range of climate and biome types. However, these measurements only represent the carbon fluxes at the scale of the tower footprint. To quantify the net exchange of carbon dioxide between the terrestrial biosphere and the atmosphere for regions or continents, flux tower measurements need to be extrapolated to these large areas. Here we used remotely sensed data from the Moderate Resolution Imaging Spectrometer (MODIS) instrument on board the National Aeronautics and Space Administration's (NASA) Terra satellite to scale up AmeriFlux NEE measurements to the continental scale. We first combined MODIS and AmeriFlux data for representative U.S. ecosystems to develop a predictive NEE model using a modified regression tree approach. The predictive model was trained and validated using eddy flux NEE data over the periods 2000-2004 and 2005-2006, respectively. We found that the model predicted NEE well (r = 0.73, p < 0.001). We then applied the model to the continental scale and estimated NEE for each 1 km x 1 km cell across the conterminous U.S. for each 8-day interval in 2005 using spatially explicit MODIS data. The model generally captured the expected spatial and seasonal patterns of NEE as determined from measurements and the literature. Our study demonstrated that our empirical approach is effective for scaling up eddy flux NEE measurements to the continental scale and producing wall-to-wall NEE estimates across multiple biomes. Our estimates may provide an independent dataset from simulations with biogeochemical models and inverse modeling approaches for examining the spatiotemporal patterns of NEE and constraining terrestrial carbon budgets over large areas.
Xiao, Jingfeng; Zhuang, Qianlai; Baldocchi, Dennis D.; Law, Beverly E.; Richardson, Andrew D.; Chen, Jiquan; Oren, Ram; Starr, Gregory; Noormets, Asko; Ma, Siyan; Verma, Shashi B.; Wharton, Sonia; Wofsy, Steven C.; Bolstad, Paul V.; Burns, Sean P.; Cook, David R.; Curtis, Peter S.; Drake, Bert G.; Falk, Matthias; Fischer, Marc L.; Foster, David R.; Gu, Lianhong; Hadley, Julian L.; Hollinger, David Y.; Katul, Gabriel G.; Litvak, Marcy; Martin, Timothy A.; Matamala, Roser; McNulty, Steve; Meyers, Tilden P.; Monson, Russell K.; Munger, J. William; Oechel, Walter C.; U, Kyaw Tha Paw; Schmid, Hans Peter; Scott, Russell L.; Sun, Ge; Suyker, Andrew E.; Torn, Margaret S.
2009-03-06T23:59:59.000Z
Eddy covariance flux towers provide continuous measurements of net ecosystem carbon exchange (NEE) for a wide range of climate and biome types. However, these measurements only represent the carbon fluxes at the scale of the tower footprint. To quantify the net exchange of carbon dioxide between the terrestrial biosphere and the atmosphere for regions or continents, flux tower measurements need to be extrapolated to these large areas. Here we used remotely-sensed data from the Moderate Resolution Imaging Spectrometer (MODIS) instrument on board NASA's Terra satellite to scale up AmeriFlux NEE measurements to the continental scale. We first combined MODIS and AmeriFlux data for representative U.S. ecosystems to develop a predictive NEE model using a regression tree approach. The predictive model was trained and validated using NEE data over the periods 2000-2004 and 2005-2006, respectively. We found that the model predicted NEE reasonably well at the site level. We then applied the model to the continental scale and estimated NEE for each 1 km x 1 km cell across the conterminous U.S. for each 8-day period in 2005 using spatially-explicit MODIS data. The model generally captured the expected spatial and seasonal patterns of NEE. Our study demonstrated that our empirical approach is effective for scaling up eddy flux NEE measurements to the continental scale and producing wall-to-wall NEE estimates across multiple biomes. Our estimates may provide an independent dataset from simulations with biogeochemical models and inverse modeling approaches for examining the spatiotemporal patterns of NEE and constraining terrestrial carbon budgets for large areas.
? production as a probe for early state dynamics in high energy nuclear collisions at RHIC
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Liu, Yunpeng; Chen, Baoyi; Xu, Nu; Zhuang, Pengfei
2011-02-01T23:59:59.000Z
? production in heavy ion collisions at RHIC energy is investigated. While the transverse momentum spectra of the ground state ?(1s) are controlled by the initial state Cronin effect, the excited bb? states are characterized by the competition between the cold and hot nuclear matter effects and sensitive to the dissociation temperatures determined by the heavy quark potential. We emphasize that it is necessary to measure the excited heavy quark states in order to extract the early stage information in high energy nuclear collisions at RHIC.
Desynchronized Multi-State Abstractions for Open Programs in Dynamic Languages
Chang, Bor-Yuh Evan
INRIA/CNRS/ENS Paris, xavier.rival@ens.fr Abstract. Dynamic language library developers face a challenging problem: ensuring that their libraries will behave correctly for a wide variety of client programs without having access to those client programs. This problem stems from the common use of two defining
Dynamic Spherical Volumetric Simplex Splines with Applications in Biomedicine Wayne State University
Qin, Hong
Dynamic Spherical Volumetric Simplex Splines with Applications in Biomedicine Yunhao Tan , Jing Hua computational framework based on dy- namic spherical volumetric simplex splines for simulation of genus- zero to reconstruct the high-fidelity digi- tal model of a real-world object with spherical volumetric simplex splines
Steady-State and Dynamic Modeling of Commercial Slurry High-Density Polyethylene (HDPE) Processes
Liu, Y. A.
, solvent, and oligomeric species from the polymer. Sol- vent is separated from the oligomer and recycled, Polymers Plus and Aspen Dynamics. The discussion includes thermodynamic properties, phase equilibrium, reaction kinetics, polymer properties, and other modeling issues. We characterize a Ziegler- Natta catalyst
Buckled nano rod - a two state system: quantum effects on its dynamics
Aniruddha Chakraborty
2011-07-18T23:59:59.000Z
We consider a suspended elastic rod under longitudinal compression. The compression can be used to adjust potential energy for transverse displacements from harmonic to double well regime. The two minima in potential energy curve describe two possible buckled states. Using transition state theory (TST) we have calculated the rate of conversion from one state to other. If the strain $\\epsilon = 4 \\epsilon_c$ the simple TST rate diverges. We suggest a method to correct this divergence for quantum calculations. We also find that zero point energy contributions can be quite large so that single mode calculations can lead to large errors in the rate.
The development of short sea shipping in the United States : a dynamic alternative
Connor, Peter H. (Peter Harold)
2004-01-01T23:59:59.000Z
Current projections show that U.S. international trade is expected to reach nearly two billion tons by 2020, approximately double today's level. With such a large forecasted growth in trade coming through the United States ...
Effect of asymmetry parameter on the dynamical states of nonlocally coupled nonlinear oscillators
R. Gopal; V. K. Chandrasekar; D. V. Senthilkumar; A. Venkatesan; M. Lakshmanan
2015-06-17T23:59:59.000Z
We show that coexisting domains of coherent and incoherent oscillations can be induced in an ensemble of any identical nonlinear dynamical systems using the nonlocal rotational matrix coupling with an asymmetry parameter. Further, chimera is shown to emerge in a wide range of the asymmetry parameter in contrast to near $\\frac{\\pi}{2}$ values of it employed in the earlier works. We have also corroborated our results using the strength of incoherence in the frequency domain ($S_{\\omega}$) and in the amplitude domain ($S$) thereby distinguishing the frequency and amplitude chimeras. The robust nature of the asymmetry parameter in inducing chimeras in any generic dynamical system is established using ensembles of identical R\\"ossler oscillators, Lorenz systems, and Hindmarsh-Rose (HR) neurons in their chaotic regimes.
Faithful Solid State Optical Memory with Dynamically Decoupled Spin Wave Storage
Marko Lovri?; Alban Ferrier; Dieter Suter; Philippe Goldner
2013-02-14T23:59:59.000Z
We report an optical memory in a rare earth doped crystal with long storage times, up to 20 ms, together with an optical bandwidth of 1.5 MHz. This is obtained by transferring optical coherences to nuclear spin coherences, which were then protected against environmental noise by dynamical decoupling. With this approach, we achieved a 33 fold increase in spin wave storage time over the intrinsic spin coherence lifetime. Comparison between different decoupling sequences indicates that sequences insensitive to initial spin coherence increase retrieval efficiency. Finally, an interference experiment shows that relative phases of input pulses are preserved through the whole storage process with a visibility close to 1, demonstrating the usefulness of dynamical decoupling for extending the storage time of quantum memories.
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28T23:59:59.000Z
Based on the project's scope, the purpose of the estimate, and the availability of estimating resources, the estimator can choose one or a combination of techniques when estimating an activity or project. Estimating methods, estimating indirect and direct costs, and other estimating considerations are discussed in this chapter.
Using System Dynamics to Model the Transition to Biofuels in the United States: Preprint
Bush, B.; Duffy, M.; Sandor, D.; Peterson, S.
2008-06-01T23:59:59.000Z
Transitioning to a biofuels industry that is expected to displace about 30% of current U.S. gasoline consumption requires a robust biomass-to-biofuels system-of-systems that operates in concert with the existing markets. This paper discusses employing a system dynamics approach to investigate potential market penetration scenarios for cellulosic ethanol and to help government decision makers focus on areas with greatest potential.
A non-degenerate Rao-Blackwellised particle filter for estimating static
SchÃ¶n, Thomas
A non-degenerate Rao-Blackwellised particle filter for estimating static parameters in dynamical some static parameter. This is true also for the RBPF, even if the static states are marginalised analytically by a Kalman filter. The reason is that the posterior density of the static states is computed
Xing-Gang Wu
2008-12-08T23:59:59.000Z
Main theoretical uncertainties in estimating the indirect production of $(b\\bar{c})$-quarkonium ($B^-_c$ meson and its excited states) via top quark decays, $t\\to (b\\bar{c})+c+W^{+}$, are studied within the non-relativistic QCD framework. It is found that the dimensionless reduced decay width for a particular $(b\\bar{c})$-quarkonium state, $\\bar\\Gamma_{n}=\\Gamma_{n} /\\Gamma_{t\\to W^{+}+b}$, is very sensitive to the $c$-quark mass, while the uncertainties from the $b$-quark and $t$-quark masses are small, where $n$ stands for the eight $(b\\bar{c})$-quarkonium states up to ${\\cal O}(v^4)$: $|(b\\bar{c})(^1S_0)_1>$, $|(b\\bar{c})(^3S_1)_1>$, $|(b\\bar{c})(^1P_1)_1>$, $|(b\\bar{c})(^3P_J)_1>$ (with $J=(1,2,3)$), $|(b\\bar{c})(^1S_0)_{8}g>$ and $|(b\\bar{c})(^3S_1)_{8}g>$ respectively. About $10^8$ $t\\bar{t}$-pairs shall be produced per year at CERN LHC, if adopting the assumption that all the higher Fock states decay to the ground state with 100% probability, then we shall have $(1.038^{+1.353}_{-0.782})\\times 10^5$ $B^-_c $ events per year. So the indirect production provides another important way to study the properties of $B^-_c$ meson in comparison to that of the direct hadronic production at CERN LHC.
Multiphoton lasing in atomic potassium: Steady-state and dynamic behavior J. L. Font,1
Gauthier, Daniel
University, Box 90305, Durham, North Carolina 27708, USA Received 12 September 2005; published 21 December of the fundamental quantum processes yielding them. Closed-curve laser-emission profiles are obtained for multiphoton energy state and n photons identical to the incident ones are added to the light beam. Such lasers
Dynamical states of the cortico basal ganglia circuits Thesis submitted for the degree of
in these mean discharge rates. It posits that the death of midbrain dopaminergic neurons that occurs in PDDynamical states of the cortico basal ganglia circuits Thesis submitted for the degree of "Doctor variable that represents the mean discharge rate of neurons in that nucleus, and focuses on the gross
Sampling-based Motion Planning With Dynamic Intermediate State Objectives: Application to Throwing
Indiana University
collision. In order to plan quickly, we designed our planner to exploit knowledge of these problem a larger fraction of states within the small reachable subset of a DISO, we apply a fast filter based into a receptacle (e.g., a basket or trash can) in a known 3D environment. Our tests show that fewer than 2
Buckled nano rod - a two state system and its dynamics using system plus reservoir model
Aniruddha Chakraborty
2009-12-09T23:59:59.000Z
We consider a suspended elastic rod under longitudinal compression. The compression can be used to adjust potential energy for transverse displacements from harmonic to double well regime. As compressional strain is increased to the buckling instability, the frequency of fundamental vibrational mode drops continuously to zero (first buckling instability). As one tunes the separation between ends of a rod, the system remains stable beyond the instability and develops a double well potential for transverse motion. The two minima in potential energy curve describe two possible buckled states at a particular strain. From one buckled state it can go over to the other by thermal fluctuations or quantum tunnelling. Using a continuum approach and transition state theory (TST) one can calculate the rate of conversion from one state to other. Saddle point for the change from one state to other is the straight rod configuration. The rate, however, diverges at the second buckling instability. At this point, the straight rod configuration, which was a saddle till then, becomes hill top and two new saddles are generated. The new saddles have bent configurations and as rod goes through further instabilities, they remain stable and the rate calculated according to harmonic approximation around saddle point remains finite. In our earlier paper classical rate calculation including friction has been carried out [J. Comput. Theor. Nanosci. {\\bf 4} (2007) {\\it 1}], by assuming that each segment of the rod is coupled to its own collection of harmonic oscillators - our rate expression is well behaved through the second buckling instability. In this paper we have extended our method to calculate quantum rate using the same system plus reservoir model. We find that friction lowers the rate of conversion.
Ouyang, Bing, E-mail: ouyangbing.zj@foxmail.com; Xue, Jia-Dan, E-mail: jenniexue@126.com; Zheng, Xuming, E-mail: zhengxuming126@126.com, E-mail: zxm@zstu.edu.cn, E-mail: fangwh@dnu.edu.cn [Department of Chemistry, Zhejiang Sci-Tech University, Hangzhou 310018 (China)] [Department of Chemistry, Zhejiang Sci-Tech University, Hangzhou 310018 (China); Fang, Wei-Hai, E-mail: zxm@zstu.edu.cn, E-mail: fangwh@dnu.edu.cn, E-mail: fangwh@dnu.edu.cn [Department of Chemistry, Beijing Normal University, Beijing 100875 (China)] [Department of Chemistry, Beijing Normal University, Beijing 100875 (China)
2014-05-21T23:59:59.000Z
The excited state structural dynamics of phenyl isothiocyanate (PITC) after excitation to the light absorbing S{sub 2}(A?), S{sub 6}(A?), and S{sub 7}(A?) excited states were studied by using the resonance Raman spectroscopy and complete active space self-consistent field method calculations. The UV absorption bands of PITC were assigned. The vibrational assignments were done on the basis of the Fourier transform (FT)-Raman and FT-infrared measurements, the density-functional theory computations, and the normal mode analysis. The A-, B-, and C-bands resonance Raman spectra in cyclohexane, acetonitrile, and methanol solvents were, respectively, obtained at 299.1, 282.4, 266.0, 252.7, 228.7, 217.8, and 208.8 nm excitation wavelengths to probe the corresponding structural dynamics of PITC. The results indicated that the structural dynamics in the S{sub 2}(A?), S{sub 6}(A?), and S{sub 7}(A?) excited states were very different. The conical intersection point CI(S{sub 2}/S{sub 1}) were predicted to play important role in the low-lying excited state decay dynamics. Two major decay channels were predicted for PITC upon excitation to the S{sub 2}(A?) state: the radiative S{sub 2,min} ? S{sub 0} transition and the nonradiative S{sub 2} ? S{sub 1} internal conversion via CI(S{sub 2}/S{sub 1}). The differences in the decay dynamics between methyl isothiocyanate and PITC in the first light absorbing excited state were discussed. The role of the intersystem crossing point ISC(S{sub 1}/T{sub 1}) in the excited state decay dynamics of PITC is evaluated.
Felker, P.M. [Univ. of California, Los Angeles (United States)
1993-12-01T23:59:59.000Z
First, the author aims to develop methods of nonlinear Raman spectroscopy for application in studies of sparse samples. Second, the author wishes to apply such methods to structural and dynamical studies of species (molecules, complexes, and clusters) in supersonic molecular beams. In the past year, the author has made progress in several areas. The first pertains to the application of mass-selective ionization-detected stimulated Raman spectroscopies (IDSRS) to the size-specific vibrational spectroscopy of solute-solvent{sub n} clusters. The second involves the application of IDSRS methods to studies of jet-cooled benzene clusters. The third pertains to the use of IDSRS methods in the study of intermolecular vibrational transitions in van der Waals complexes.
Stefano Zippilli; Fabrizio Illuminati
2014-02-16T23:59:59.000Z
When two chains of quantum systems are driven at their ends by a two-mode squeezed reservoir, they approach a steady state characterized by the formation of many entangled pairs. Each pair is made of one element of the first and one of the second chain. This effect has been already predicted under the assumption of broadband squeezing. Here we investigate the situation of finite-bandwidth reservoirs. This is done by modeling the driving bath as the output field of a non-degenerate parametric oscillator. The resulting non-Markovian dynamics is studied within the theoretical framework of cascade open quantum systems. It is shown that the formation of pair-entangled structures occurs as long as the normal-mode splitting of the arrays does not overcome the squeezing bandwidth of the reservoir.
Bichromatic control of dynamical tunneling: influence of the irregular Floquet states
Archana Shukla; Srihari Keshavamurthy
2014-11-27T23:59:59.000Z
Bichromatic control, in terms of the amplitude and relative phase of the second field as control knobs, is an useful approach for controlling a variety of quantum processes. In this context, understanding the features of the control landscape is important to assess the extent and efficiency of the control process. A key question is whether, for a given quantum process, one can have regions wherein there is a complete lack of control. In this work we show that such regions do exist and can be explained on the basis of the phase space nature of the quantum Floquet states. Specifically, we show that robust regions of no control arise due to the phenomenon of chaos-assisted tunneling. We also comment on the possible influence of such regions on the phenomenon of directed transport in quantum Hamiltonian ratchets.
Distributed Road Grade Estimation
Johansson, Karl Henrik
Distributed Road Grade Estimation for Heavy Duty Vehicles PER SAH LHOLM Doctoral Thesis in Automatic Control Stockholm, Sweden 2011 #12;Distributed Road Grade Estimation for Heavy Duty Vehicles PER state-of-charge control decrease the energy consumption of vehicles and increase the safety
Major, III, Walter; Grassley, James M.; Ryding, Kristen E. (University of Washington, Quantitive Ecology Program, Seattle, WA)
2003-05-01T23:59:59.000Z
This report is divided into two chapters. The abstract for chapter one is--Understanding of the abundance and spatial and temporal distributions of piscivorous birds and their potential consumption of fish is an increasingly important aspect of fisheries management. During 1999-2002, we determined the abundance and distribution and estimated the maximum consumption (kg biomass) of fish-eating birds along the length of the Yakima River in Washington State. Sixteen different species were observed during the 4-yr study, but only half of those were observed during all years. Abundance and estimated consumption of fish within the upper and middle sections of the river were dominated by common mergansers (Mergus merganser) which are known to breed in those reaches. Common mergansers accounted for 78 to 94% of the estimated total fish take for the upper river or approximately 28,383 {+-} 1,041 kg over the 4 yrs. A greater diversity of avian piscivores occurred in the lower river and potential impacts to fish populations was more evenly distributed among the species. In 1999-2000, great blue herons potentially accounted for 29 and 36% of the fish consumed, whereas in 2001-2002 American white pelicans accounted for 53 and 55%. We estimated that approximately 75,878 {+-} 6,616 kg of fish were consumed by piscivorous birds in the lower sections of the river during the study. Bird assemblages differed spatially along the river with a greater abundance of colonial nesting species within the lower sections of the river, especially during spring and the nesting season. The abundance of avian piscivores and consumption estimates are discussed within the context of salmonid supplementation efforts on the river and juvenile out-migration. The abstract for chapter two is--Consumption of fish by piscivorous birds may be a significant constraint on efforts to enhance salmonid populations within tributaries to the Columbia River in Washington State. During 1999-2002, we determined the abundance of fish-eating birds, primarily ring-billed (Larus delawarensis) and California (L. californicus) gulls and monitored their behavior at two man-made structures within the Yakima River in eastern Washington: Horn Rapids Dam, a low-head irrigation dam, and the return pipe for the Chandler Juvenile Fish Handling Facility. Earlier observations of congregations of gulls at these structures suggested an increased likelihood of predation of out-migrating juvenile salmonids. We estimated the number of fish consumed and examined the relationship between river flow and gull numbers and fish taken. Numbers of gulls at the structures varied daily between their arrival in Late March-early April and departure in late June (mean ({+-}SE) - Horn Rapids: 11.7 ({+-}2.0), Chandler: 20.1 ({+-}1.5) ). During the 4-yr study, numbers at Horn Rapids peaked dramatically during the last 2 weeks in May (between 132.9 ({+-}4.2) to 36.6 ({+-}2.2) gulls/day) and appeared to the associated with the release of > 1-mil hatchery juvenile fall chinook (Oncorhynchus tshawytscha) above the 2 study sites. A comparable peak in gull abundance was not observed at Chandler. Diurnal patterns of gull abundance also varied among years and sites. The relationship between foraging efficiency and gull numbers was not consistent among years or sites. Gull numbers were not correlated with river flow when year was considered. However, variations in flow among years appeared to be associated with average gull numbers at each site, but trends were not consistent between sites. Low seasonal flows were associated with increased predation at Chandler, whereas high seasonal flows were associated with increased predation at Horn Rapids. Assuming all fish taken were salmonids, we estimate gulls consumed between 0.1-10.3 % of the juvenile salmonids passing or being released from the Chandler Juvenile Fish Monitoring Facility located above the two structures. Staggered releases of hatchery fish, nocturnal releases of fish entrained in the Chandler facility, changes in the orientation of the outflow from the f
Measurement enhancement for state estimation
Chen, Jian
2009-05-15T23:59:59.000Z
After the deregulation of the power industry, power systems are required to be operated efficiently and economically in today’s strongly competitive environment. In order to achieve these objectives, it is crucial for power system control centers...
Turro, Claudia
Excited State Dynamics of Two New Ru(II) Cyclometallated Dyes: Relation to Cells for Solar Energy, are reported. Related complexes have been used as efficient dyes in dye- sensitized solar cells (DSSCs of ruthenium dyes used in DSSCs to lower energies, it is evident from this work, that for cyclometallated phpy
Proton Dynamics in ZnO Nanorods Quantified by In Situ Solid-State 1H Nuclear Magnetic Resonance
Wang, Li Q.; Zhou, Xiao Dong; Exarhos, Gregory J.; Pederson, Larry R.; Wang, Chong M.; Windisch, Charles F.; Yao, Chunhua
2007-10-22T23:59:59.000Z
Zinc oxide (ZnO) adopts wurtzite structure and possesses a direct wide band gap (Eg ~ 3.3 eV at 300 K), similar to that of GaN (Eg ~ 3.4 eV at 300 K), which enables ZnO as an alternative candidate to replace GaN for use in optoelectronic devices. The present controversy is centered at the microscopic origin of the “native donors”, particularly after ab initio calculations by Van de Walle, which indicate that hydrogen is soluble in ZnO at the interstitial sites, effectively forming a donor level just below the conduction band in ZnO. Hence, the origin of n type conductivity in ZnO is proposed due to the presence of hydrogen. Electron paramagnetic resonance and spectroscopic observations of muons provide experimental evidence of hydrogen presence in ZnO. Whereas, Look et al. suggests that the complex of zinc interstitial and nitrogen defect is a stronger candidate for donor than hydrogen interstitials under N ambient. Hydrogen-oxygen complex is claimed to be stable even at T > 1000°C in the hydrothermally synthesized ZnO. Therefore, the thermodynamic nature of hydrogen characteristics remains controversial, particularly its role on resident defects. In this letter, in situ temperature dependent solid state 1H magic angle spinning (MAS) nuclear magnetic resonance (NMR) spectroscopy is employed to probe the local chemical environments of hydrogen in ZnO nanorods. To best knowledge of ours, this is the first time that the presence of hydrogen, its concentration, and local transport dynamics are directly chemically determined. Moreover, in situ NMR allows a new approach to investigate the absorption and desorption of protons from different sites on the ZnO nanorods, thus study of site-specific proton dynamics in ZnO becomes feasible.
The Microscopic Linear Dynamics
Penny, Will
The Microscopic Brain Will Penny Linear Dynamics Exponentials Matrix Exponential Eigendecomposition Dynamical Modes Nodes State Space Saddles Oscillations Spirals Centres Offsets Retinal Circuit Nullclines Stability Spiking Neurons Fitzhugh-Nagumo Nonlinear Dynamics Linearization Nonlinear Oscillation Excitable
Aldrich, Matthew (Matthew Henry)
2010-01-01T23:59:59.000Z
Energy conservation concerns will mandate near-future environments to regulate themselves to accommodate occupants' objectives and best tend to their comfort while minimizing energy consumption. Accordingly, smart energy ...
Research progress in dynamic security assessment
Not Available
1982-12-01T23:59:59.000Z
Areas discussed are power system modeling, state estimation, structure decomposition, state forecasting, clustering and security measure development. A detailed dynamic model of a multi-machine power system has been developed. A process state estimator was developed to estimate the long-term dynamic behavior of the power system. The algorithm is identical to the extended Kalman filter but has a modified process noise driving term. A two-stage structure estimation technique was proposed for identifying the power system network configuration. Two approaches to structure decomposition were investigated. A time-scale decomposition of the system equations, based on a singular perturbation approach, was evaluated using a detailed model of a generating system. Spatial decomposition was examined by applying an optimal network decomposition technique to a 39-bus test system. Stochastic approximation based approaches to estimator simplification were examined. Explicit expressions were obtained for the evolution of the first and second moments of the system state. Research into security measures proceeded in three directions. The first area involves viewing the security assessment problem as a hyperplane crossing problem for a stochastic process. The second approach examined the stability of an unforced linear system where the system coefficients are subject to future jumps. The third area of research has led to the formulation of a security measure suitable for on-line assessment of transient stability.
Excited-state dynamics of the Tm3+ ions and Tm3+ ~ Ho3+ energy transfers in LiYF4
Boyer, Edmond
1463 Excited-state dynamics of the Tm3+ ions and Tm3+ ~ Ho3+ energy transfers in LiYF4 A. Brenier considérant deux types de sites. Plus compliquée, la dynamique de fluorescence anti-Stokes est décrite désexcitation à l'intérieur d'un même centre Tm3 +, une relaxation croisée entre ions Tm3+ adjacents du type 3H4
Steady-State and Dynamic Modeling of Gas-Phase Polypropylene Processes Using Stirred-Bed Reactors
Liu, Y. A.
Engineering, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061 Ashuraj Sirohi
Hyperbolic Dynamics Todd Fisher
Fisher, Todd
Hyperbolic Dynamics Todd Fisher tfisher@math.umd.edu Department of Mathematics University of Maryland, College Park Hyperbolic Dynamics p. 1/3 #12;What is a dynamical system? Phase space X, elements possible states Hyperbolic Dynamics p. 2/3 #12;What is a dynamical system? Phase space X, elements
Chaudhry, Charu; Horwich, Arthur L.; Brunger, Axel T.; Adams, Paul D.
2004-08-12T23:59:59.000Z
Large rigid-body domain movements are critical to GroEL-mediated protein folding, especially apical domain elevation and twist associated with the formation of a folding chamber upon binding ATP and co-chaperonin GroES. Here, we have modeled the anisotropic displacements of GroEL domains from various crystallized states, unliganded GroEL, ATP?S-bound, ADP-AlFx/GroES-bound, and ADP/GroES bound, using translation-libration-screw (TLS) analysis. Remarkably, the TLS results show that the inherent motions of unliganded GroEL, a polypeptide-accepting state, are biased along the transition pathway that leads to the folding-active state. In the ADP-AlFx/GroES-bound folding-active state the dynamic modes of the apical domains become reoriented and coupled to the motions of bound GroES. The ADP/GroES complex exhibits these same motions, but they are increased in magnitude, potentially reflecting the decreased stability of the complex after nucleotide hydrolysis. Our results have allowed the visualization of the anisotropic molecular motions that link the static conformations previously observed by X-ray crystallography. Application of the same analyses to other macromolecules where rigid body motions occur may give insight into the large scale dynamics critical for function and thus has the potential to extend our fundamental understanding of molecular machines.
United States Department of Agriculture Forest Service Intermountain Research Station General acrossthe United States provide estimates of the amount of erosion reductionon forest roadsfrom
Snyder, Jared; Binder, Jonathan
2009-01-01T23:59:59.000Z
a productive national climate change program that implementsnership needed to address climate change the United States.Strategy to Combat Climate Change Jared Snyder* and Jonathan
Mi, Chunting "Chris"
Estimation of Lithium-Ion Batteries in Electric Drive Vehicles Using Extended Kalman Filtering Zheng Chen. Index Terms--Extended Kalman filter (EKF), hardware-in- the-loop, lithium-ion battery, nonlinear battery], a modeling approach for the scale-up of a lithium- ion polymer battery (LIPB) is reported. A comparison
Xuanchun Dong
2011-09-04T23:59:59.000Z
In a recent paper we proposed and compared various approaches to compute the ground state and dynamics of the Schr\\"{o}dinger--Poisson--Slater (SPS) system for general external potential and initial condition, concluding that the methods based on sine pseudospectral discretization in space are the best candidates. This note is concerned with the case that the external potential and initial condition are spherically symmetric. For the SPS system with spherical symmetry, via applying a proper change of variables into the reduced quasi-1D model we simplify the methods proposed for the general 3D case such that both the memory and computational load are significantly reduced.
Studies of Structure and Dynamics of Light Harvesting Complex 1 of R. Sphaeroides by Solid State NMR
McDermott, Ann E [Columbia University
2014-11-14T23:59:59.000Z
Studies of the structure and dynamics of a light harvesting complex from photosynthetic bacteria are described. Using Nuclear Magnetic Resonance methods, we explored the idea that optical properties are modulated via a conformational switch in the BChl chromophores, in a way that provides benefits for the efficiency of energy conversion.
Schofield, Jeremy
in the article. Reuse of AIP content is subject to the terms at: http of a stochastic model of the dynamics of bond formation. Finally, the Markov model is studied by analyzing profile as the temperature is lowered can be understood in terms of the number of relaxation modes
Pace, Michael L.
uplands (Figure 2; Porter, 2007). For shallow-water soft-sediment coastal systems, positive feedbacks. 2013. Nonlinear dynamics and alternative stable states in shallow coastal systems. Oceanography 26 and alternative Stable States in Shallow coastal Systems By K a r e N J . m c g l at h e ry, m at t h e w a . r e
Snyder, Jared; Binder, Jonathan
2009-01-01T23:59:59.000Z
the allowances to the New York State Energy Research andVol. 27:231 of New York's renewable energy task force. In19. See Energy Conservation Construction Code of New York
Yuan, Jinchao
2007-01-01T23:59:59.000Z
In this study, we investigated the multiple steady state behavior, an important observation in numerical and experimental studies in natural ventilation systems. The-oretical models are developed and their applications in ...
PMU Placement for Enhancing Dynamic Observability of a Power Grid
Du, Pengwei; Huang, Zhenyu; Diao, Ruisheng; Lee, Barry; Anderson, Kevin K.
2010-09-27T23:59:59.000Z
Power grids are operated in an increasingly complicated environment. However, operators lack effective and accurate tools for real-time monitoring and control of power systems. The U.S. Department of Energy, along with several utilities and system operators, is making a major $108 million investment in the Western Interconnection for phasor measurement unit (PMU) installation and phasor application development. This phasor measurement network opens up many opportunities for the estimation and prediction of power system states in real time, which enable operators to evaluate the system dynamic security in advance and allow them more time to respond to disturbances. Kalman filter based dynamic state estimation offers a solution suitable for this purpose. Our work indicates that the performance of Kalman filters in dynamic state estimation would degrade if PMU measurements cannot adequately capture the system dynamics. This paper develops a framework to identify how to place PMUs to improve dynamic observability of the power grid. Simulation results validate the concept, and the guidelines for PMU placement are derived.
Transition State Theory Approach to Polymer Escape from a One Dimensional Potential Well
Mökkönen, Harri; Ala-Nissila, Tapio; Jónsson, Hannes
2015-01-01T23:59:59.000Z
The rate of escape of an ideal bead-spring polymer in a symmetric double-well potential is calculated using transition state theory (TST) and the results compared with direct dynamical simulations. The minimum energy path of the transitions becomes flat and the dynamics diffusive for long polymers making the Kramers-Langer estimate poor. However, TST with dynamical corrections based on short time trajectories started at the transition state gives rate constant estimates that agree within a factor of two with the molecular dynamics simulations over a wide range of bead coupling constants and polymer lengths. The computational effort required by the TST approach does not depend on the escape rate and is much smaller than that required by molecular dynamics simulations.
Transition dynamics for Mu acceptor states in Si{sub 1–x}Ge{sub x} alloys
Jayarathna, G.; Lichti, R. L.; Mengyan, P. W.; Baker, B. B. [Texas Tech University, Lubbock, TX 79409-1051 (United States); Celebi, Y. G. [Istanbul University, Istanbul (Turkey); Carroll, B. R. [Arkansas State University, Jonesboro, AR 72410 (United States); Yonenaga, I. [Institute of Materials Research, Tohoku University (Japan)
2014-02-21T23:59:59.000Z
We use the longitudinal field muon spin relaxation technique to observe charge-state and site-change transitions of muonium in Si{sub 1–x}Ge{sub x} alloys. In this project, we examine the temperature and magnetic field dependences of the relaxation rates for Si{sub 1–x}Ge{sub x} samples (x = 0.77, 0.81, and 0.84), in the composition range where the acceptor level lies within the band gap. This study particularly focuses on the relaxation rates for Si{sub 0.19}Ge{sub 0.81} to identify various cyclic charge-state and site-change processes as a function of both temperature and magnetic field. We extract the paramagnetic hyperfine constant and the relevant transition rate parameters for site changes and charge-state transitions involving Mu acceptor states for this sample. At small x, a site change dominates the transition out of the neutral T-site acceptor state, while in higher Ge content alloys hole ionization becomes the dominant transition out of the Mu{sub T}{sup 0}.
is a widely used tool in power system energy management systems. The essence of state esti- mation-collocated complex power measurements. Complex power is usually calculated from voltage and current measurements@srpnet.com). It will be shown that a more accurate power measurement can be calculated utilizing a non-collocated value plus
North, Simon W.
branching ratios and spatial anisotropy of each dissociation channel permitted the extraction of relative) products,15 is crossed by 17 electronic states correlating to Cl(2 PJ) þ O(3 PJ) products. Several theoretical studies have attempted to elucidate the nature of the predissociation mechanism, i.e. determining
Sharma, Veerendra K [ORNL; Mamontov, Eugene [ORNL; Anunciado, Divina B [ORNL; O'Neill, Hugh Michael [ORNL; Urban, Volker S [ORNL
2015-01-01T23:59:59.000Z
Antimicrobial peptides are universal in all forms of life and are well known for their strong interaction with the cell membrane. This makes them a popular target for investigation of peptide-lipid interactions. Here we report the effect of melittin, an important antimicrobial peptide, on the dynamics of membranes based on 1,2-dimyristoyl-sn-glycero-3-phosphocholine (DMPC) lipid in both the solid gel and fluid phases. To probe the phase transition, elastic neutron intensity temperature scans have been carried out on DMPC-based unilamellar vesicles (ULV) with and without melittin. We have found that addition of a small amount (0.2 mol%) melittin eliminates the steep fall in the elastic intensity at 296 K associated with the solid gel to fluid phase transition, which is observed for pure DMPC vesicles. Quasielastic neutron scattering (QENS) experiments have been carried out on DMPC ULV in the solid gel and fluid phases with and without 0.2 mol % melittin. The data analysis invariably shows the presence of lateral and internal motions of the DMPC molecule. We found that melittin does have a profound effect on the dynamics of lipid molecules, especially on the lateral motion, and affects it in a different way, depending on the phase of the bilayers. In the solid gel phase, it acts as a plasticizer, enhancing the lateral motion of DMPC. However, in the fluid phase it acts as a stiffening agent, restricting the lateral motion of the lipid molecules. These observations are consistent with the mean squared displacements extracted from the elastic intensity temperature scans. Cholesterol is a vital component of eukaryotic membrane, which is a natural target for melittin. To investigate the effect of melittin on vesicles supplemented with cholesterol, QENS experiments have also been carried out on DMPC ULV with 20 mol% cholesterol in the presence and absence of 0.2 mol% melittin. Remarkably, the effects of melittin on the membrane dynamics disappear in the presence of 20 mol % cholesterol. Thus, our measurements indicate that the destabilizing effect of the peptide melittin on membranes can be mitigated by the presence of cholesterol.
Not Available
1993-08-01T23:59:59.000Z
Reports in this Record of Proceedings explore a wide variety of issues related to the regulation of natural gas and its future role as one of the critical fuels that powers the economy of the United States. The focus is mainly on problems, obstacles, barriers, and the incredibly complex system created to bring a fuel from wellhead to burner tip. Individual papers have been cataloged separately.
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Ko Kyaw, Aung Ko; Gehrig, Dominik; Zhang, Jie; Huang, Ye; Bazan, Guillermo C.; Laquai, Frédéric; Nguyen, Thuc -Quyen
2014-11-27T23:59:59.000Z
The photovoltaic performance of bulk heterojunction solar cells using the solution-processable small molecule donor 7,7'-(4,4-bis(2-ethylhexyl)-4H-silolo[3,2-b:4,5-b']dithiophene-2,6-diyl)bis(6-fluoro-4-(5'-hexyl-[2,2'-bithiophene]-5-yl)benzo[c][1,2,5]thiadiazole) (p-DTS(FBTTh2)2 in combination with indene-C60 bis-adduct (ICBA) as an acceptor is systematically optimized by altering the processing conditions. A high open-circuit voltage of 1 V, more than 0.2 V higher than that of a p-DTS(FBTTh2)2:PC70BM blend, is achieved. However, the power conversion efficiency remains around 5% and thus is lower than ~8% previously reported for p-DTS(FBTTh2)2:PC70BM. Transient absorption (TA) pump–probe spectroscopy over a wide spectral (Vis-NIR) and dynamic (fs to ?s) range in combination with multivariate curve resolution analysis of the TA data reveals thatmore »generation of free charges is more efficient in the blend with PC70BM as an acceptor. In contrast, blends with ICBA create more coulombically bound interfacial charge transfer (CT) states, which recombine on the sub-nanosecond timescale by geminate recombination. Furthermore, the ns to ?s charge carrier dynamics in p-DTS(FBTTh2)2:ICBA blends are only weakly intensity dependent implying a significant contribution of recombination from long-lived CT states and trapped charges, while those in p-DTS(FBTTh2)2:PC70BM decay via an intensity-dependent recombination mechanism indicating that spatially separated (free) charge carriers are observed, which can be extracted as photocurrent from the device.« less
Lucas, Matthew Allen
2009-05-15T23:59:59.000Z
.............................................................. 31 Results: ROW Estimation State of Practice ................................... 31 Critical Issues ....................................................................... 32 Overview of Current Practice... ............................................... 35 Analysis: Critical Review of Practices ........................................... 41 General ROW Cost Estimation Procedure ........................... 42 ROW Cost Estimation...
Mabuchi, Takuya, E-mail: mabuchi@nanoint.ifs.tohoku.ac.jp [Graduate School of Engineering, Tohoku University, Sendai, Miyagi 980-8577 (Japan); Tokumasu, Takashi [Institute of Fluid Science, Tohoku University, Sendai, Miyagi 980-8577 (Japan)
2014-09-14T23:59:59.000Z
We have performed a detailed analysis of the structural properties of the sulfonate groups in terms of isolated and overlapped solvation shells in the nanostructure of hydrated Nafion membrane using classical molecular dynamics simulations. Our simulations have demonstrated the correlation between the two different areas in bound water region, i.e., the first solvation shell, and the vehicular transport of hydronium ions at different water contents. We have employed a model of the Nafion membrane using the improved force field, which is newly modified and validated by comparing the density and water diffusivity with those obtained experimentally. The first solvation shells were classified into the two types, the isolated area and the overlapped area. The mean residence times of solvent molecules explicitly showed the different behaviors in each of those areas in terms of the vehicular transport of protons: the diffusivity of classical hydronium ions in the overlapped area dominates their total diffusion at lower water contents while that in the isolated area dominates for their diffusion at higher water contents. The results provided insights into the importance role of those areas in the solvation shells for the diffusivity of vehicular transport of hydronium ions in hydrated Nafion membrane.
Gadd, S.E.
1995-08-01T23:59:59.000Z
This dissertation discusses studies of the electron-hole pair dynamics of CdS{sub x}Se{sub 1-x} semiconductor alloys for the entire compositional range from x = 1 to x = 0 as examined by the ultrafast fluorescence techniques of time correlated single photon counting and fluorescence upconversion. Specifically, samples with x = 1, .75, .5, .25, and 0 were studied each at a spread of wavelengths about its respective emission maximum which varies according to {lambda} = 718nm - 210x nm. The decays of these samples were found to obey a Kohlrausch distribution, exp [(t/{tau}){sup {beta}}], with the exponent 3 in the range .5-.7 for the alloys. These results are in agreement with those expected for localization due to local potential variations resulting from the random distribution of sulfur and selenium atoms on the element VI A sub-lattice. This localization can be understood in terms of Anderson localization of the holes in states whose energy distribution tails into the forbidden energy band-gap. Because these states have energy dependent lifetimes, the carriers can decay via many parallel channels. This distribution of channels is the ultimate source of the Kohlrausch form of the fluorescence decays.
Gobet, Mallory [Hunter College of the City University of New York] [Hunter College of the City University of New York; Greenbaum, Steve [Hunter College of the City University of New York] [Hunter College of the City University of New York; Sahu, Gayatri [ORNL] [ORNL; Liang, Chengdu [ORNL] [ORNL
2014-01-01T23:59:59.000Z
The ceramic lithium ion conductor -Li3PS4 has a disordered and nanoporous structure that leads to an enhancement in ionic conductivity by some three orders of magnitude compared to the crystalline phase. The phase is prepared by thermal treatment of an inorganic-organic complex based on Li3PS4 and THF. Multinuclear (1H, 6,7Li, 31P) solid state NMR spectroscopy is used to characterize the structural phase evolution of the starting material at various steps in the thermal treatment. The phase formed after high temperature treatment is recognized as spectroscopically distinct from the bulk -Li3PS4 compound. Also formed is an amorphous lithium thiophosphate phase that is metastable as verified by annealing over an extended period. Lithium ion self-diffusion coefficients are measurable by standard pulsed gradient NMR methods at 100oC and with values consistent with the high ionic conductivity previously reported for this material.
Ef?cient Parameter Estimation Using Implicit Statistical Inference
Patch Occupancy Models of Metapopulation Dynamics: Ef?cient Parameter. Estimation Using Implicit Statistical Inference. Atte Moilanen. Ecology, Vol. 80, No
REPORT NO. 4 ESTIMATES AND EVALUATION OF
REPORT NO. 4 ESTIMATES AND EVALUATION OF FALLOUT IN THE UNITED STATES FROM NUCLEAR WEAPONS ESTIMATES AND EVALUATION OF FALLOUT IN THE UNITED STATES FROM NUCLEAR WEAPONS TESTING CONDUCTED THROUGH 1962 Section II History of Nuclear Weapons Testing. . . . . . . . . . . . . . . . 4 Section III Atmospheric
Dionne, B.; Tzanos, C. P. (Nuclear Engineering Division)
2011-05-23T23:59:59.000Z
To support the safety analyses required for the conversion of the Belgian Reactor 2 (BR2) from highly-enriched uranium (HEU) to low-enriched uranium (LEU) fuel, the simulation of a number of loss-of-flow tests, with or without loss of pressure, has been undertaken. These tests were performed at BR2 in 1963 and used instrumented fuel assemblies (FAs) with thermocouples (TC) imbedded in the cladding as well as probes to measure the FAs power on the basis of their coolant temperature rise. The availability of experimental data for these tests offers an opportunity to better establish the credibility of the RELAP5-3D model and methodology used in the conversion analysis. In order to support the HEU to LEU conversion safety analyses of the BR2 reactor, RELAP simulations of a number of loss-of-flow/loss-of-pressure tests have been undertaken. Preliminary analyses showed that the conservative power distributions used historically in the BR2 RELAP model resulted in a significant overestimation of the peak cladding temperature during the transient. Therefore, it was concluded that better estimates of the steady-state and decay power distributions were needed to accurately predict the cladding temperatures measured during the tests and establish the credibility of the RELAP model and methodology. The new approach ('best estimate' methodology) uses the MCNP5, ORIGEN-2 and BERYL codes to obtain steady-state and decay power distributions for the BR2 core during the tests A/400/1, C/600/3 and F/400/1. This methodology can be easily extended to simulate any BR2 core configuration. Comparisons with measured peak cladding temperatures showed a much better agreement when power distributions obtained with the new methodology are used.
Probing the Dynamics of a Protein Hydrophobic Core by Deutron...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Dynamics of a Protein Hydrophobic Core by Deutron Solid-State Nuclear Magnetic Resonance Spectroscopy . Probing the Dynamics of a Protein Hydrophobic Core by Deutron Solid-State...
D. S. Veloso; A. V. Dodonov
2015-04-19T23:59:59.000Z
We consider the nonstationary circuit QED architecture, where a single artificial two-level atom interacts with a cavity field mode under external modulation of one or more system parameters. Two different approaches are employed to study the effects of Markovian dissipation on modulation-induced transitions between the atom-field dressed states: the standard master equation of Quantum Optics and the recently formulated dressed-picture master equation. We estimate the associated transition rates and show that photon generation from vacuum ("dynamical Casimir effect", DCE) and coherent photon annihilation from nonvacuum states ("Anti-DCE") are possible with the current state-of-the-art parameters.
Schedule Estimation for Web Application Development
Fernando, Lake
2008-05-16T23:59:59.000Z
application system when it comes to estimating development time. The main reasons for difficulty in estimating hours are the dynamic nature of the business and the customer’s lack of requirements for the web application. This particular project will generate...
Parlitz, Ulrich; Luther, Stefan
2015-01-01T23:59:59.000Z
Features of the Jacobian matrix of the delay coordinates map are exploited for quantifying the robustness and reliability of state and parameter estimations for a given dynamical model using an observed time series. Relevant concepts of this approach are introduced and illustrated for discrete and continuous time systems employing a filtered H\\'enon map and a R\\"ossler system.
Zaveri, Rahul A.; Easter, Richard C.; Shilling, John E.; Seinfeld, J. H.
2014-05-27T23:59:59.000Z
Evidence is mounting that the majority of the climatically active aerosols are produced through the growth of smaller particles via secondary organic aerosol (SOA) formation from gas-to-particle conversion of anthropogenic and biogenic volatile organic compounds (VOCs). The timescale of SOA partitioning and the associated size distribution dynamics are expected to depend on the gas-phase oxidation of the precursor VOCs and their products, volatility of these organic solutes, composition and phase state of the pre-existing particles, and diffusivity and reactivity of the solute within the particle phase. This paper describes a new framework for modeling kinetic gas-particle partitioning of SOA, with an analytical treatment for the diffusion-reaction process within the particle phase. The formulation is amenable for eventual use in regional and global climate models, although it currently awaits implementation of the actual particle-phase reactions that are important for SOA formation. In the present work, the model is applied to investigate the competitive growth dynamics of the Aitken and accumulation mode particles while the Kelvin effect and coagulation are neglected for simplicity. The timescale of SOA partitioning and evolution of number and composition size distributions are evaluated for a range of solute volatilities (C*), particle-phase bulk diffusivities (Db), and particle-phase reactivity, as exemplified by a pseudo-first-order rate constant (kc). Results show that irreversible condensation of non-volatile organic vapors (equivalent to ) produces significant narrowing of the size distribution. At the other extreme, non-reactive partitioning of semi-volatile organic vapors is volume-controlled in which the final (equilibrium) size distribution simply shifts to the right on the diameter axis while its shape remains unchanged. However, appreciable narrowing of the size distribution may occur when the pre-existing particles are highly viscous semi-solids such that small particles reach quasi-equilibrium much faster than the large ones. In the case of reactive partitioning (finite ), the size distribution experiences permanent narrowing, which is especially pronounced for Db < 10-13 cm2 s-1 and kc > 0.01 s-1. As a result, both number and composition size distributions are needed to effectively constrain and evaluate the next generation of SOA models that treat phase state thermodynamics, particle-phase diffusion and particle-phase chemical reactions.
Crichton, John Alston
1953-01-01T23:59:59.000Z
A CRITICAL REVIEW OF METHODS USED IN THE ESTIMATION OF NATURAL GAS RESERVES NATURAL GAS RESERVES IN THE SI'AT. S OF TEXAS SOME EDUCATIONAL PREREQUISITES IN THE FIELD OF PETROLEUM ECONOMICS AND EVAI UATION Sy John Alston Crichton... ENGINEERING TABLE of CONTENTS ~Pa e A CRITICAL REVIEW OF METHODS USED IN THE ESTIMATION OF NATURAL GAS RESERVES Abstract Introdu=tion History of the Estimation of Gas Reserves Present Methods of Estimating Gas Reserves Meth& ds of Estimating Non...
Photodissociation Dynamics and Spectroscopy of Free Radical Combustion Intermediates
Osborn, David L.
2010-01-01T23:59:59.000Z
dynamics the coupling occurs to a state with identical spin multiplicity as the initially excited state, the coupling process
Mean-field Evolution of Fermionic Mixed States
Niels Benedikter; Vojkan Jaksic; Marcello Porta; Chiara Saffirio; Benjamin Schlein
2015-02-11T23:59:59.000Z
In this paper we study the dynamics of fermionic mixed states in the mean-field regime. We consider initial states which are close to quasi-free states and prove that, under suitable assumptions on the inital data and on the many-body interaction, the quantum evolution of such initial data is well approximated by a suitable quasi-free state. In particular we prove that the evolution of the reduced one-particle density matrix converges, as the number of particles goes to infinity, to the solution of the time-dependent Hartree-Fock equation. Our result holds for all times, and gives effective estimates on the rate of convergence of the many-body dynamics towards the Hartree-Fock one.
Estimated UseofWaterintheUnitedStatesin2005 Trends in estimated water use in the United States.L., Hutson, S.S., Linsey, K.S., Lovelace, J.K., and Maupin, M.A., 2009, Estimated use of water in the United
Discrete and Hybrid Stochastic State Estimation Algorithms
Johansson, Karl Henrik
oper- ation and reduce cost of installation and maintenance, potentially at the price of increasing, and in the control system maintenance, since the control unit can be deployed far from the plant, that often operates constant statistical properties has
Characterization of majorization monotone quantum dynamics
Haidong Yuan
2015-03-25T23:59:59.000Z
In this article I study the dynamics of open quantum system in Markovian environment. I give necessary and sufficient conditions for such dynamics to be majorization monotone, which are those dynamics always mixing the states.
Estimation of building occupancy levels through environmental signals deconvolution
Johansson, Karl Henrik
, and ventilation actuation signals in order to identify a dynamic model. The building occupancy estimation problem Abstract We address the problem of estimating the occupancy lev- els in rooms using the information is formulated as a regularized deconvolution problem, where the estimated occupancy is the input that, when
Adaptive Distributed Parameter and Input Estimation in Plasma Tokamak Heat
Boyer, Edmond
. Keywords: Thermonuclear fusion, distributed parameter systems, input state and parameter estimation, adaptive infinite-dimensional estimation, Galerkin method 1. INTRODUCTION In a controlled thermonuclear fusion reactor, the plasma thermal diffusivity and heating energy play an important role
Statistical Estimation of Quantum Tomography Protocols Quality
Yu. I. Bogdanov; G. Brida; M. Genovese; S. P. Kulik; E. V. Moreva; A. P. Shurupov
2010-02-18T23:59:59.000Z
A novel operational method for estimating the efficiency of quantum state tomography protocols is suggested. It is based on a-priori estimation of the quality of an arbitrary protocol by means of universal asymptotic fidelity distribution and condition number, which takes minimal value for better protocol. We prove the adequacy of the method both with numerical modeling and through the experimental realization of several practically important protocols of quantum state tomography.
Entangled quantum probes for dynamical environmental noise
Matteo A. C. Rossi; Matteo G. A. Paris
2015-03-11T23:59:59.000Z
We address the use of entangled qubits as quantum probes to characterize the dynamical noise induced by complex environments. In particular, we show that entangled probes improve estimation of the correlation time for a broad class of environmental noises compared to any sequential strategy involving single qubit preparation. The effect is present when the noise is faster than a threshold value, a regime which may always be achieved by tuning the coupling between the quantum probe and the environment inducing the noise. Our scheme exploits time-dependent sensitivity of quantum systems to decoherence and does not require dynamical control on the probes. We derive the optimal interaction time and the optimal probe preparation, showing that it corresponds to multiqubit GHZ states when entanglement is useful. We also show robustness of the scheme against depolarization or dephasing of the probe, and discuss simple measurements approaching optimal precision.
Michael Murray; for the BRAHMS Collaboration
2007-10-24T23:59:59.000Z
The purpose of BRAHMS is to survey the dynamics of relativistic heavy ion (as well as pp and d-A) collisions over a very wide range of rapidity and transverse momentum. The sum of these data may give us a glimpse of the initial state of the system, its transverse and longitudinal evolution and how the nature of the system changes with time. Here I will concentrate on the origin and dynamics of the light flavors, i.e. the creation and transport of the up, down and strange quarks. The results presented here are certainly not the end of the story. It is my hope that in a few years new detectors will reveal the rapidity dependence of the charm and bottom quarks.
Weston, R.E. Jr.; Sears, T.J.; Preses, J.M. [Brookhaven National Laboratory, Upton, NY (United States)
1993-12-01T23:59:59.000Z
Research in this program is directed towards the spectroscopy of small free radicals and reactive molecules and the state-to-state dynamics of gas phase collision, energy transfer, and photodissociation phenomena. Work on several systems is summarized here.
United States Department of Agriculture Forest Service Northeastern Research Station General Estimates for Forest Types of the United States James E. Smith Linda S. Heath Kenneth E. Skog Richard A forest types within 10 regions of the United States. Separate tables were developed for afforestation
United States Department of Agriculture Forest Service Northeastern Research Station General reported in USDA Forest Service surveys for forests of the conterminous United States. Developed for use estimates are provided for regional tree-mass totals using summary forest statistics for the United States
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28T23:59:59.000Z
This chapter focuses on the components (or elements) of the cost estimation package and their documentation.
Dynamical friction in modified Newtonian dynamics
C. Nipoti; L. Ciotti; J. Binney; P. Londrillo
2008-03-31T23:59:59.000Z
We have tested a previous analytical estimate of the dynamical friction timescale in Modified Newtonian Dynamics (MOND) with fully non-linear N-body simulations. The simulations confirm that the dynamical friction timescale is significantly shorter in MOND than in equivalent Newtonian systems, i.e. systems with the same phase-space distribution of baryons and additional dark matter. An apparent conflict between this result and the long timescales determined for bars to slow and mergers to be completed in previous N-body simulations of MOND systems is explained. The confirmation of the short dynamical-friction timescale in MOND underlines the challenge that the Fornax dwarf spheroidal poses to the viability of MOND.
L. P. Karakatsanis; G. P. Pavlos; M. N. Xenakis
2012-04-03T23:59:59.000Z
In the second part of this study and similarly with part one, the nonlinear analysis of the solar flares index is embedded in the non-extensive statistical theory of Tsallis [1]. The triplet of Tsallis, as well as the correlation dimension and the Lyapunov exponent spectrum were estimated for the SVD components of the solar flares timeseries. Also the multifractal scaling exponent spectrum, the generalized Renyi dimension spectrum and the spectrum of the structure function exponents were estimated experimentally and theoretically by using the entropy principle included in Tsallis non extensive statistical theory, following Arimitsu and Arimitsu [2]. Our analysis showed clearly the following: a) a phase transition process in the solar flare dynamics from high dimensional non Gaussian SOC state to a low dimensional also non Gaussian chaotic state, b) strong intermittent solar corona turbulence and anomalous (multifractal) diffusion solar corona process, which is strengthened as the solar corona dynamics makes phase transition to low dimensional chaos: c) faithful agreement of Tsallis non equilibrium statistical theory with the experimental estimations of i) non-Gaussian probability distribution function, ii) multifractal scaling exponent spectrum and generalized Renyi dimension spectrum, iii) exponent spectrum of the structure functions estimated for the sunspot index and its underlying non equilibrium solar dynamics. e) The solar flare dynamical profile is revealed similar to the dynamical profile of the solar convection zone as far as the phase transition process from SOC to chaos state. However the solar low corona (solar flare) dynamical characteristics can be clearly discriminated from the dynamical characteristics of the solar convection zone.
Modeling, Estimation, and Control of Waste Heat Recovery Systems
Luong, David
2013-01-01T23:59:59.000Z
State Estimation for Open Organic Rankine Cycle (ORC)138optimization of an organic Rankine cycle waste heat powerand Simulation of an Organic Rankine Cycle (ORC) System for
Check Estimates and Independent Costs
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28T23:59:59.000Z
Check estimates and independent cost estimates (ICEs) are tools that can be used to validate a cost estimate. Estimate validation entails an objective review of the estimate to ensure that estimate criteria and requirements have been met and well documented, defensible estimate has been developed. This chapter describes check estimates and their procedures and various types of independent cost estimates.
Dynamics of genuine multipartite entanglement under local non-Markovian dephasing
Mazhar Ali
2014-11-05T23:59:59.000Z
We study dynamics of genuine entanglement for quantum states of three and four qubits under non-Markovian dephasing. Using a computable entanglement monotone for multipartite systems, we find that GHZ state is quite resilient state whereas the W state is the most fragile. We compare dynamics of chosen quantum states with dynamics of random pure states and weighted graph states.
2013-01-01T23:59:59.000Z
model in southern states of Kerala and Tamil Nadu for non-JHARKHAND (19) KARNATAKA (26) KERALA (28) MADHYA PRADESH (
Origin State Destination State
Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]
transportation rates for coal, state to state, STB data Origin State Destination State 2001 2002 2003 2004 2005 2006 2007 2008 2009 2001-2009 2008-2009 Alabama Alabama W W W W W W...
Paris-Sud XI, Université de
1 · R. Onanena, L. Oukhellou, D. Candusso, F. Harel, D. Hissel, P. Aknin. Fuel cells static Journal of Hydrogen Energy le 22/10/2010. Ed. Elsevier. Fuel cells static and dynamic characterizations), patrice.aknin@inrets.fr (Patrice Aknin), daniel.hissel@univ-fcomte.fr (Daniel Hissel). Keywords: Fuel cell
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28T23:59:59.000Z
The chapter describes the estimates required on government-managed projects for both general construction and environmental management.
Estimated Costs of Crop Production in Iowa 2001
Duffy, Michael D.
Estimated Costs of Crop Production in Iowa 2001 The estimated costs of corn, corn silage. They include the annual Iowa Farm Business Association record summaries, production and costs data from and a survey of selected agriculture cooperatives around the state. These costs estimates are representative
Estimated Costs of Crop Production in Iowa 2000
Duffy, Michael D.
Estimated Costs of Crop Production in Iowa 2000 The estimated costs of corn, corn silage. They include the annual Iowa Farm Business Association record summaries, production and costs data from and a survey of selected agriculture cooperatives around the state. These costs estimates are representative
Spatial Sequence Estimation Based Decoding Algorithm for V-BLAST
Al-Ghadhban, Samir
Spatial Sequence Estimation Based Decoding Algorithm for V-BLAST Maruf Mohammad, Samir Al degrades the performance. A detection algorithm for V-BLAST based on sequence estimation is proposed. The concept of maximum likelihood sequence estimation (MLSE) is applied to combat spatial interference. State
Look, Wesley Allen
2013-01-01T23:59:59.000Z
The political economy of US climate policy has revolved around state- and district- level distributional economics, and to a lesser extent household-level distribution questions. Many politicians and analysts have suggested ...
Antsaklis, Panos
Linear State Feedback," Control Systems Technical Report #55, Dept. of Electrical and Computer," Control Systems Technical Report #55, Dept. of Electrical and Computer Engineering, University of Notre Feedback," Control Systems Technical Report #55, Dept. of Electrical and Computer Engineering, University
Coppens, Philip
states of molecules are vehicles for solar energy conversion and storage, photosensitization, Guy Jennings, Klaus Attenkofer, Gerald J. Meyer,*,§ and Philip Coppens*,| Contribution from Chemistry, Department of Chemistry, Johns Hopkins UniVersity, Baltimore, Maryland 21210, and Department of Chemistry
Stochastic Wireless Channel Modeling, Estimation and Identification from Measurements
Olama, Mohammed M [ORNL; Djouadi, Seddik M [ORNL; Li, Yanyan [ORNL
2008-07-01T23:59:59.000Z
This paper is concerned with stochastic modeling of wireless fading channels, parameter estimation, and system identification from measurement data. Wireless channels are represented by stochastic state-space form, whose parameters and state variables are estimated using the expectation maximization algorithm and Kalman filtering, respectively. The latter are carried out solely from received signal measurements. These algorithms estimate the channel inphase and quadrature components and identify the channel parameters recursively. The proposed algorithm is tested using measurement data, and the results are presented.
Estimates of US biomass energy consumption 1992
Not Available
1994-05-06T23:59:59.000Z
This report is the seventh in a series of publications developed by the Energy Information Administration (EIA) to quantify the biomass-derived primary energy used by the US economy. It presents estimates of 1991 and 1992 consumption. The objective of this report is to provide updated estimates of biomass energy consumption for use by Congress, Federal and State agencies, biomass producers and end-use sectors, and the public at large.
Neil Dobbs; Mikko Stenlund
2015-04-08T23:59:59.000Z
We introduce the notion of a quasistatic dynamical system, which generalizes that of an ordinary dynamical system. Quasistatic dynamical systems are inspired by the namesake processes in thermodynamics, which are idealized processes where the observed system transforms (infinitesimally) slowly due to external influence, tracing out a continuous path of thermodynamic equilibria over an (infinitely) long time span. Time-evolution of states under a quasistatic dynamical system is entirely deterministic, but choosing the initial state randomly renders the process a stochastic one. In the prototypical setting where the time-evolution is specified by strongly chaotic maps on the circle, we obtain a description of the statistical behaviour as a stochastic diffusion process, under surprisingly mild conditions on the initial distribution, by solving a well-posed martingale problem. We also consider various admissible ways of centering the process, with the curious conclusion that the "obvious" centering suggested by the initial distribution sometimes fails to yield the expected diffusion.
A TIME ESTIMATE FOR CONSOLIDATION AND DISINTEGRATION OF AN ASTEROID RUBBLE PILE. THE SIMPLEST model shows that an asteroid rubble pile evolves, depending on the parameter V2 d (where V rubble pile to survive for a long time, and on the other hand, even without tidal effects, it prevents
Blumenthal, Jurg M.; Thompson, Wayne
2009-06-12T23:59:59.000Z
This publication explains how to estimate the grain yield of a corn crop before harvest. An interactive grain yield calculator is included. 6 pages, 3 tables, 1 figure....
Hans Peter Schmid; Craig Wayson
2009-05-05T23:59:59.000Z
The primary objective of this project was to evaluate carbon exchange dynamics across a region of North America between the Great Plains and the East Coast. This region contains about 40 active carbon cycle research (AmeriFlux) sites in a variety of climatic and landuse settings, from upland forest to urban development. The core research involved a scaling strategy that uses measured fluxes of CO{sub 2}, energy, water, and other biophysical and biometric parameters to train and calibrate surface-vegetation-atmosphere models, in conjunction with satellite (MODIS) derived drivers. To achieve matching of measured and modeled fluxes, the ecosystem parameters of the models will be adjusted to the dynamically variable flux-tower footprints following Schmid (1997). High-resolution vegetation index variations around the flux sites have been derived from Landsat data for this purpose. The calibrated models are being used in conjunction with MODIS data, atmospheric re-analysis data, and digital land-cover databases to derive ecosystem exchange fluxes over the study domain.
Crichton, John Alston
1953-01-01T23:59:59.000Z
that three types of well tests were then being used to determine the value of gas wells, naxnely, open flow capacity, closed pressure, and xninute-pressure-above-the-line. Open flow tests were not usually available, and the fact that line pressure varied... and production tests. Sand volumes are obtained by planimetering. Core analysis data and electrical log interpretation permit reasonable estimates of porosity, connate water, and net productive thickness so that the volume of gas filled pore space may...
Adaptive Optimal Feedback Control with Learned Internal Dynamics Models
Mitrovic, Djordje; Klanke, Stefan; Vijayakumar, Sethu
2010-01-01T23:59:59.000Z
, have focused on the case of non-linear, but still analytically available, dynamics. For realistic control systems, however, the dynamics may often be unknown, difficult to estimate, or subject to frequent systematic changes. In this chapter, we combine...
Observability of Origin-Destination matrices for Dynamic Traffic Assignment
Gupta, Ashish, S.M. Massachusetts Institute of Technology
2005-01-01T23:59:59.000Z
The estimation of dynamic Origin-Destination (O-D) matrices from aggregated sensor counts is one of the most important and well-researched problems in Dynamic Traffic Assignment (DTA) systems. In practice, more often than ...
Kuramoto dynamics in Hamiltonian systems
Dirk Witthaut; Marc Timme
2013-05-08T23:59:59.000Z
The Kuramoto model constitutes a paradigmatic model for the dissipative collective dynamics of coupled oscillators, characterizing in particular the emergence of synchrony. Here we present a classical Hamiltonian (and thus conservative) system with 2N state variables that in its action-angle representation exactly yields Kuramoto dynamics on N-dimensional invariant manifolds. We show that the synchronization transition on a Kuramoto manifold emerges where the transverse Hamiltonian action dynamics becomes unstable. The uncovered Kuramoto dynamics in Hamiltonian systems thus distinctly links dissipative to conservative dynamics.
Dynamic shape factors for hydox-generated plutonium dioxide-type non-sperical objects
Lohaus, James Harold
1999-01-01T23:59:59.000Z
The dynamic shape factors of HYDOX-generated plutonium dioxide-type non-spherical objects were estimated with computational methods. Leith's empirical methods were used to modify classical Stokes's law for aerosol dynamics (1987). The dynamic shape...
Dynamic shape factors for hydox-generated plutonium dioxide-type non-sperical objects
Lohaus, James Harold
1999-01-01T23:59:59.000Z
The dynamic shape factors of HYDOX-generated plutonium dioxide-type non-spherical objects were estimated with computational methods. Leith's empirical methods were used to modify classical Stokes's law for aerosol dynamics (1987). The dynamic shape...
B. R. Webber
1995-10-12T23:59:59.000Z
The following aspects of hadronic final states in deep inelastic lepton scattering are reviewed: measuring $alpha_s$ from multi-jet production rates and event shapes; alternative jet algorithms for DIS; power-suppressed corrections to event shapes; comparing jet fragmentation in $e^+e^-$ annihilation and DIS; final states in the BFKL and CCFM formulations of small-$x$ dynamics; exotic (instanton-induced) final states.
Krishtal, Alisa; Genova, Alessandro; Pavanello, Michele
2015-01-01T23:59:59.000Z
Subsystem Density-Functional Theory (DFT) is an emerging technique for calculating the electronic structure of complex molecular and condensed phase systems. In this topical review, we focus on some recent advances in this field related to the computation of condensed phase systems, their excited states, and the evaluation of many-body interactions between the subsystems. As subsystem DFT is in principle an exact theory, any advance in this field can have a dual role. One is the possible applicability of a resulting method in practical calculations. The other is the possibility of shedding light on some quantum-mechanical phenomenon which is more easily treated by subdividing a supersystem into subsystems. An example of the latter is many-body interactions. In the discussion, we present some recent work from our research group as well as some new results, casting them in the current state-of-the-art in this review as comprehensively as possible.
Learning Nonlinear Dynamical Systems using an EM Algorithm
Edinburgh, University of
Learning Nonlinear Dynamical Systems using an EM Algorithm Zoubin Ghahramani and Sam T. Roweis present a generalization of the EM algorithm for parameter estimation in nonlinear dynamical systems Nonlinear Dynamical Systems We examine inference and learning in discrete-time dynamical systems with hidden
Guo, Zhiyong [Iowa State University; Kobayashi, Takeshi [Ames Laboratory; Wang, Lin-Lin [Ames Laboratory; Goh, Tian Wei [Iowa State University; Xiao, Chaoxian [Iowa State University; Caporini, Marc A [Bruker BioSpin Corporation; Rosay, Melanie [Bruker BioSpin Corporation; Johnson, Duane D [Ames Laboratory; Pruski, Marek [Ames Laboratory; Huang, Wenyu [Ames Laboratory
2014-10-08T23:59:59.000Z
The host–guest interaction between metal ions (Pt2+ and Cu2+) and a zirconium metal–organic framework (UiO-66-NH2) was explored using dynamic nuclear polarization-enhanced 15N{1H} CPMAS NMR spectroscopy supported by X-ray absorption spectroscopy and density functional calculations. The combined experimental results conclude that each Pt2+ coordinates with two NH2 groups from the MOF and two Cl? from the metal precursor, whereas Cu2+ do not form chemical bonds with the NH2 groups of the MOF framework. Density functional calculations reveal that Pt2+ prefers a square-planar structure with the four ligands and resides in the octahedral cage of the MOF in either cis or trans configurations.
SPACE TECHNOLOGY Actual Estimate
technology readiness of new missions, mitigate their technological risks, improve the quality of cost estimates, and thereby contribute to better overall mission cost management..." Space Technology investmentsSPACE TECHNOLOGY TECH-1 Actual Estimate Budget Authority (in $ millions) FY 2011 FY 2012 FY 2013 FY
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28T23:59:59.000Z
Specialty costs are those nonstandard, unusual costs that are not typically estimated. Costs for research and development (R&D) projects involving new technologies, costs associated with future regulations, and specialty equipment costs are examples of specialty costs. This chapter discusses those factors that are significant contributors to project specialty costs and methods of estimating costs for specialty projects.
Kalman filter data assimilation: Targeting observations and parameter estimation
Bellsky, Thomas, E-mail: bellskyt@asu.edu; Kostelich, Eric J.; Mahalov, Alex [School of Mathematical and Statistical Sciences, Arizona State University, Tempe, Arizona 85287 (United States)] [School of Mathematical and Statistical Sciences, Arizona State University, Tempe, Arizona 85287 (United States)
2014-06-15T23:59:59.000Z
This paper studies the effect of targeted observations on state and parameter estimates determined with Kalman filter data assimilation (DA) techniques. We first provide an analytical result demonstrating that targeting observations within the Kalman filter for a linear model can significantly reduce state estimation error as opposed to fixed or randomly located observations. We next conduct observing system simulation experiments for a chaotic model of meteorological interest, where we demonstrate that the local ensemble transform Kalman filter (LETKF) with targeted observations based on largest ensemble variance is skillful in providing more accurate state estimates than the LETKF with randomly located observations. Additionally, we find that a hybrid ensemble Kalman filter parameter estimation method accurately updates model parameters within the targeted observation context to further improve state estimation.
Joint estimation of phase and phase diffusion for quantum metrology
Mihai D. Vidrighin; Gaia Donati; Marco G. Genoni; Xian-Min Jin; W. Steven Kolthammer; M. S. Kim; Animesh Datta; Marco Barbieri; Ian A. Walmsley
2014-10-20T23:59:59.000Z
Phase estimation, at the heart of many quantum metrology and communication schemes, can be strongly affected by noise, whose amplitude may not be known, or might be subject to drift. Here, we investigate the joint estimation of a phase shift and the amplitude of phase diffusion, at the quantum limit. For several relevant instances, this multiparameter estimation problem can be effectively reshaped as a two-dimensional Hilbert space model, encompassing the description of an interferometer phase probed with relevant quantum states -- split single-photons, coherent states or N00N states. For these cases, we obtain a trade-off bound on the statistical variances for the joint estimation of phase and phase diffusion, as well as optimum measurement schemes. We use this bound to quantify the effectiveness of an actual experimental setup for joint parameter estimation for polarimetry. We conclude by discussing the form of the trade-off relations for more general states and measurements.
Dynamic Logics of Dynamical Systems ANDR E PLATZER, Carnegie Mellon University
Platzer, AndrÃ©
. Dynamical systems are mathematical models describing how the state of a system evolves over time. They are important for modeling and understanding many applications, including embedded systems and cyber of differential equations. We explain the dynamical system models, dynamic logics of dynamical systems
Bokarev, Sergey I; Suljoti, Edlira; Kühn, Oliver; Aziz, Emad F
2013-01-01T23:59:59.000Z
Non-radiative decay channels in the L-edge fluorescence spectra from transition metal-aqueous solutions give rise to spectral dips in X-ray transmission spectra. Their origin is unraveled here using partial and inverse partial fluorescence yields on the micro-jet combined with multi-reference ab initio electronic structure calculations. Comparing Fe2+, Fe3+, and Co2+ systems we demonstrate unequivocally that spectral dips are due to a state-dependent electron delocalization within the manifold of d-orbitals.
Dynamical Mutation of Dark Energy
L. R. Abramo; R. C. Batista; L. Liberato; R. Rosenfeld
2008-01-03T23:59:59.000Z
We discuss the intriguing possibility that dark energy may change its equation of state in situations where large dark energy fluctuations are present. We show indications of this dynamical mutation in some generic models of dark energy.
Dynamical mutation of dark energy
Abramo, L. R.; Batista, R. C. [Instituto de Fisica, Universidade de Sao Paulo, CP 66318, 05315-970, Sao Paulo (Brazil); Liberato, L.; Rosenfeld, R. [Instituto de Fisica Teorica, Universidade Estadual Paulista, R. Pamplona 145, 01405-900, Sao Paulo (Brazil)
2008-03-15T23:59:59.000Z
We discuss the intriguing possibility that dark energy may change its equation of state in situations where large dark energy fluctuations are present. We show indications of this dynamical mutation in some generic models of dark energy.
Fisher Information and entanglement of non-Gaussian spin states
Strobel, Helmut; Linnemann, Daniel; Zibold, Tilman; Hume, David B; Pezzè, Luca; Smerzi, Augusto; Oberthaler, Markus K
2015-01-01T23:59:59.000Z
Entanglement is the key quantum resource for improving measurement sensitivity beyond classical limits. However, the production of entanglement in mesoscopic atomic systems has been limited to squeezed states, described by Gaussian statistics. Here we report on the creation and characterization of non-Gaussian many-body entangled states. We develop a general method to extract the Fisher information, which reveals that the quantum dynamics of a classically unstable system creates quantum states that are not spin squeezed but nevertheless entangled. The extracted Fisher information quantifies metrologically useful entanglement which we confirm by Bayesian phase estimation with sub shot-noise sensitivity. These methods are scalable to large particle numbers and applicable directly to other quantum systems.
Hradil, Zdenek
over a complete set of mutually complementary observables (MCO) exhibits invariance with respect to unitary transformations applied to the state of the system and/or to the measured set of MCO. Moreover, namely, when (i) a complete set of MCO is not available, and when (ii) the observables measured
Free energy reconstruction from steered dynamics without post-processing
Manuel Athènes; Mihai-Cosmin Marinica
2010-06-30T23:59:59.000Z
Various methods achieving importance sampling in ensembles of nonequilibrium trajectories enable to estimate free energy differences and, by maximum-likelihood post-processing, to reconstruct free energy landscapes. Here, based on Bayes theorem, we propose a more direct method in which a posterior likelihood function is used both to construct the steered dynamics and to infer the contribution to equilibrium of all the sampled states. The method is implemented with two steering schedules. First, using non-autonomous steering, we calculate the migration barrier of the vacancy in Fe-alpha. Second, using an autonomous scheduling related to metadynamics and equivalent to temperature-accelerated molecular dynamics, we accurately reconstruct the two-dimensional free energy landscape of the 38-atom Lennard-Jones cluster as a function of an orientational bond-order parameter and energy, down to the solid-solid structural transition temperature of the cluster and without maximum-likelihood post-processing.
Temperature Dependent Wire Delay Estimation in Floorplanning
Nannarelli, Alberto
Temperature Dependent Wire Delay Estimation in Floorplanning Andreas Thor Winther, Wei Liu, Alberto, Arizona State University, Tempe, USA Abstract--Due to large variations in temperature in VLSI cir- cuits and the linear relationship between metal resistance and temperature, the delay through wires of the same length
REACTOR SAFETY KEYWORDS: best estimate plus
Hoppe, Fred M.
REACTOR SAFETY KEYWORDS: best estimate plus uncertainty analysis, epistemic error and aleatory phe- nomena that underlie the safety analyses. The use of BE codes within the reactor technology in advance and that result from a variety of operating conditions or states. These arise because the reactor
Estimating Bounds for Quadratic Assignment Problems Associated ...
2010-09-17T23:59:59.000Z
?Department of Mathematics and Statistics, Arizona State University, Tempe, AZ 85287-. 1804 ... Department of Industrial and Enterprise System Engineering , ... Malah used the projection method [13] to estimate lower and upper bounds for ...... DIMACS 25 Series in Discrete Mathematics and Theoretical Computer Sci-.
Quantum limits to estimation of photon deformation
Giovanni De Cillis; Matteo G. A. Paris
2014-07-08T23:59:59.000Z
We address potential deviations of radiation field from the bosonic behaviour and employ local quantum estimation theory to evaluate the ultimate bounds to precision in the estimation of these deviations using quantum-limited measurements on optical signals. We consider different classes of boson deformation and found that intensity measurement on coherent or thermal states would be suitable for their detection making, at least in principle, tests of boson deformation feasible with current quantum optical technology. On the other hand, we found that the quantum signal-to-noise ratio (QSNR) is vanishing with the deformation itself for all the considered classes of deformations and probe signals, thus making any estimation procedure of photon deformation inherently inefficient. A partial way out is provided by the polynomial dependence of the QSNR on the average number of photon, which suggests that, in principle, it would be possible to detect deformation by intensity measurements on high-energy thermal states.
Operated device estimation framework
Rengarajan, Janarthanan
2009-05-15T23:59:59.000Z
Protective device estimation is a challenging task because there are numerous protective devices present in a typical distribution system. Among various protective devices, auto-reclosers and fuses are the main overcurrent protection on distribution...
Operated device estimation framework
Rengarajan, Janarthanan
2009-05-15T23:59:59.000Z
protective device estimation algorithm which helps in identifying which protective devices have operated to clear a short circuit condition. The algorithm uses manufacturer’s device details, power quality data measured from substation monitoring devices...
Estimation of food consumption
Callaway, J.M. Jr.
1992-04-01T23:59:59.000Z
The research reported in this document was conducted as a part of the Hanford Environmental Dose Reconstruction (HEDR) Project. The objective of the HEDR Project is to estimate the radiation doses that people could have received from operations at the Hanford Site. Information required to estimate these doses includes estimates of the amounts of potentially contaminated foods that individuals in the region consumed during the study period. In that general framework, the objective of the Food Consumption Task was to develop a capability to provide information about the parameters of the distribution(s) of daily food consumption for representative groups in the population for selected years during the study period. This report describes the methods and data used to estimate food consumption and presents the results developed for Phase I of the HEDR Project.
Herbivore dynamics in an arid environment
Hempson, Gareth Peter
2011-06-27T23:59:59.000Z
This study investigated the effects of a seasonally variable forage resource on herbivore population dynamics. This involved estimating the relative importance of environmental conditions, and the accessible and used ...
Stationary States of Dissipative Quantum Systems
Vasily E. Tarasov
2011-07-29T23:59:59.000Z
In this Letter we consider stationary states of dissipative quantum systems. We discuss stationary states of dissipative quantum systems, which coincide with stationary states of Hamiltonian quantum systems. Dissipative quantum systems with pure stationary states of linear harmonic oscillator are suggested. We discuss bifurcations of stationary states for dissipative quantum systems which are quantum analogs of classical dynamical bifurcations.
State energy price and expenditure report 1991
Not Available
1993-09-01T23:59:59.000Z
The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the United States. The price and expenditure estimates are provided by energy source and economic sector and are published for the years 1970, 1975, 1980, and 1985 through 1991. Data for all years, 1970 through 1991, are available on personal computer diskettes. Documentation in Appendix A describes how the price estimates are developed, including sources of data, methods of estimation, and conversion factors applied. This report is an update of the State Energy Price and Expenditure Report 1990, published in September 1992.
Solid-State Lighting Technical Reports
None
2011-12-16T23:59:59.000Z
A page that contains links to technical reports of studies estimating the energy savings potential of solid-state lighting in numerous applications.
Dynamic simulation of voltage collapses
Deuse, J.; Stubbe, M. (Tractebel, Brussels (Belgium))
1993-08-01T23:59:59.000Z
Most of the time the voltage collapse phenomena are studied by means of computer programs designed for the calculation of steady state conditions. But in the real world, the simultaneous occurrences of losses of synchronism, of AVR dynamics or of transformer tap changes call for a full dynamic simulation of voltage phenomena. The present paper shows some examples of dynamic simulations of voltage phenomena using a new general purpose stability program (EUROSTAG), covering in a continuous way the classical fields of transient, mid-term and long-term stability, and also the quasi steady state conditions of a power system.
Robustness of Controlled Quantum Dynamics
Andy Koswara; Raj Chakrabarti
2014-09-29T23:59:59.000Z
Control of multi-level quantum systems is sensitive to implementation errors in the control field and uncertainties associated with system Hamiltonian parameters. A small variation in the control field spectrum or the system Hamiltonian can cause an otherwise optimal field to deviate from controlling desired quantum state transitions and reaching a particular objective. An accurate analysis of robustness is thus essential in understanding and achieving model-based quantum control, such as in control of chemical reactions based on ab initio or experimental estimates of the molecular Hamiltonian. In this paper, theoretical foundations for quantum control robustness analysis are presented from both a distributional perspective - in terms of moments of the transition amplitude, interferences, and transition probability - and a worst-case perspective. Based on this theory, analytical expressions and a computationally efficient method for determining the robustness of coherently controlled quantum dynamics are derived. The robustness analysis reveals that there generally exists a set of control pathways that are more resistant to destructive interferences in the presence of control field and system parameter uncertainty. These robust pathways interfere and combine to yield a relatively accurate transition amplitude and high transition probability when uncertainty is present.
State energy price and expenditure report, 1995
NONE
1998-08-01T23:59:59.000Z
The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the US. The estimates developed in the State Energy Price and Expenditure Data System (SEPEDS) are provided by energy source and economic sector and are published for the years 1970 through 1995. Data for all years are available on a CD-ROM and via Internet. Consumption estimates used to calculate expenditures and the documentation for those estimates are taken from the State Energy Data Report 1995, Consumption Estimates (SEDR), published in December 1997. Expenditures are calculated by multiplying the price estimates by the consumption estimates, which are adjusted to remove process fuel; intermediate petroleum products; and other consumption that has no direct fuel costs, i.e., hydroelectric, geothermal, wind, solar, and photovoltaic energy sources.
EM algorithm estimation of TCM scheme over multipath fading
Gunawan, Wiedy
1997-01-01T23:59:59.000Z
Channel State Estimation on Slow-Fading Channels, " Proceedings 1994 IEEE International Symposium on Information Theory, Trondheim, Norway, June 1994, p. 27. [3] Jae Choong Han, "Optimum Decoding of TCM in the Presence of Phase Errors, " M. S. Thesis...
Control and estimation problems under partially nested information pattern
Gattami, Ather Said
In this paper we study distributed estimation and control problems over graphs under partially nested information patterns. We show a duality result that is very similar to the classical duality result between state ...
Fourier Analytic Approach to Quantum Estimation of Group Action
Masahito Hayashi
2014-09-08T23:59:59.000Z
This article proposes a unified method to estimation of group action by using the inverse Fourier transform of the input state. The method provides optimal estimation for commutative and non-commutative group with/without energy constraint. The proposed method can be applied to projective representations of non-compact groups as well as of compact groups. This paper addresses the optimal estimation of R, U(1), SU(2), SO(3), and R^2 with Heisenberg representation under a suitable energy constraint.
Battery Calendar Life Estimator Manual Modeling and Simulation
Jon P. Christophersen; Ira Bloom; Ed Thomas; Vince Battaglia
2012-10-01T23:59:59.000Z
The Battery Life Estimator (BLE) Manual has been prepared to assist developers in their efforts to estimate the calendar life of advanced batteries for automotive applications. Testing requirements and procedures are defined by the various manuals previously published under the United States Advanced Battery Consortium (USABC). The purpose of this manual is to describe and standardize a method for estimating calendar life based on statistical models and degradation data acquired from typical USABC battery testing.
Quantum enhanced estimation of a multi-dimensional field
Tillmann Baumgratz; Animesh Datta
2015-07-10T23:59:59.000Z
We present a framework for the quantum enhanced estimation of multiple parameters corresponding to non-commuting unitary generators. Our formalism provides a recipe for the simultaneous estimation of all three components of a magnetic field. We propose a probe state that surpasses the precision of estimating the three components individually and discuss measurements that come close to attaining the quantum limit. Our study also reveals that too much quantum entanglement may be detrimental to attaining the Heisenberg scaling in quantum metrology.
Thermodynamic estimation: Ionic materials
Glasser, Leslie, E-mail: l.glasser@curtin.edu.au
2013-10-15T23:59:59.000Z
Thermodynamics establishes equilibrium relations among thermodynamic parameters (“properties”) and delineates the effects of variation of the thermodynamic functions (typically temperature and pressure) on those parameters. However, classical thermodynamics does not provide values for the necessary thermodynamic properties, which must be established by extra-thermodynamic means such as experiment, theoretical calculation, or empirical estimation. While many values may be found in the numerous collected tables in the literature, these are necessarily incomplete because either the experimental measurements have not been made or the materials may be hypothetical. The current paper presents a number of simple and relible estimation methods for thermodynamic properties, principally for ionic materials. The results may also be used as a check for obvious errors in published values. The estimation methods described are typically based on addition of properties of individual ions, or sums of properties of neutral ion groups (such as “double” salts, in the Simple Salt Approximation), or based upon correlations such as with formula unit volumes (Volume-Based Thermodynamics). - Graphical abstract: Thermodynamic properties of ionic materials may be readily estimated by summation of the properties of individual ions, by summation of the properties of ‘double salts’, and by correlation with formula volume. Such estimates may fill gaps in the literature, and may also be used as checks of published values. This simplicity arises from exploitation of the fact that repulsive energy terms are of short range and very similar across materials, while coulombic interactions provide a very large component of the attractive energy in ionic systems. Display Omitted - Highlights: • Estimation methods for thermodynamic properties of ionic materials are introduced. • Methods are based on summation of single ions, multiple salts, and correlations. • Heat capacity, entropy, lattice energy, enthalpy, Gibbs energy values are available.
Estimated Costs of Crop Production in Iowa 2005
Duffy, Michael D.
Estimated Costs of Crop Production in Iowa 2005 The estimated costs of corn, corn silage. They include the annual Iowa Farm Business Association record summaries, production and costs data from and a survey of selected agricultural cooperatives and other input suppliers around the state. These costs
Estimated Costs of Crop Production in Iowa 2002
Duffy, Michael D.
Estimated Costs of Crop Production in Iowa 2002 The estimated costs of corn, corn silage. They include the annual Iowa Farm Business Association record summaries, production and costs data from and a survey of selected agricultural cooperatives and other input suppliers around the state. These costs
Estimated Costs of Crop Production in Iowa 2006
Duffy, Michael D.
Estimated Costs of Crop Production in Iowa 2006 The estimated costs of corn, corn silage. They include the annual Iowa Farm Business Association record summaries, production and costs data from and a survey of selected agricultural cooperatives and other input suppliers around the state. These costs
DAMAGE ESTIMATION USING MULTI-OBJECTIVE GENETIC ALGORITHMS Faisal Shabbir
Boyer, Edmond
DAMAGE ESTIMATION USING MULTI-OBJECTIVE GENETIC ALGORITHMS Faisal Shabbir 1 , Piotr Omenzetter 2 1.omenzetter@abdn.ac.uk ABSTRACT It is common to estimate structural damage severity by updating a structural model against experimental responses at different damage states. When experimental results from the healthy and damaged
Ko Kyaw, Aung Ko [Agency for Science Technology and Research (A*STAR) (Singapore). Inst. of Materials Research and Engineering (IMRE).; Gehrig, Dominik [Max Planck Inst. for Polymer Research, Mainz (Germany); Zhang, Jie [Agency for Science Technology and Research (A*STAR) (Singapore). Inst. of Materials Research and Engineering (IMRE).; Huang, Ye [Univ. of California at Santa Barbara, Santa Barbara, CA (United States). Center for Polymers and Organic Solids.; Bazan, Guillermo C. [Univ. of California at Santa Barbara, Santa Barbara, CA (United States). Center for Polymers and Organic Solids.; Laquai, Frédéric [Max Planck Inst. for Polymer Research, Mainz (Germany); Nguyen, Thuc -Quyen [Univ. of California at Santa Barbara, Santa Barbara, CA (United States). Center for Polymers and Organic Solids.
2014-11-27T23:59:59.000Z
The photovoltaic performance of bulk heterojunction solar cells using the solution-processable small molecule donor 7,7'-(4,4-bis(2-ethylhexyl)-4H-silolo[3,2-b:4,5-b']dithiophene-2,6-diyl)bis(6-fluoro-4-(5'-hexyl-[2,2'-bithiophene]-5-yl)benzo[c][1,2,5]thiadiazole) (p-DTS(FBTTh_{2})_{2} in combination with indene-C60 bis-adduct (ICBA) as an acceptor is systematically optimized by altering the processing conditions. A high open-circuit voltage of 1 V, more than 0.2 V higher than that of a p-DTS(FBTTh_{2})_{2}:PC_{70}BM blend, is achieved. However, the power conversion efficiency remains around 5% and thus is lower than ~8% previously reported for p-DTS(FBTTh_{2})_{2}:PC_{70}BM. Transient absorption (TA) pump–probe spectroscopy over a wide spectral (Vis-NIR) and dynamic (fs to ?s) range in combination with multivariate curve resolution analysis of the TA data reveals that generation of free charges is more efficient in the blend with PC_{70}BM as an acceptor. In contrast, blends with ICBA create more coulombically bound interfacial charge transfer (CT) states, which recombine on the sub-nanosecond timescale by geminate recombination. Furthermore, the ns to ?s charge carrier dynamics in p-DTS(FBTTh_{2})_{2}:ICBA blends are only weakly intensity dependent implying a significant contribution of recombination from long-lived CT states and trapped charges, while those in p-DTS(FBTTh_{2})_{2}:PC_{70}BM decay via an intensity-dependent recombination mechanism indicating that spatially separated (free) charge carriers are observed, which can be extracted as photocurrent from the device.
Bruce Turkington; Petr Plechac
2010-10-21T23:59:59.000Z
A new method of deriving reduced models of Hamiltonian dynamical systems is developed using techniques from optimization and statistical estimation. Given a set of resolved variables that define a model reduction, the quasi-equilibrium ensembles associated with the resolved variables are employed as a family of trial probability densities on phase space. The residual that results from submitting these trial densities to the Liouville equation is quantified by an ensemble-averaged cost function related to the information loss rate of the reduction. From an initial nonequilibrium state, the statistical state of the system at any later time is estimated by minimizing the time integral of the cost function over paths of trial densities. Statistical closure of the underresolved dynamics is obtained at the level of the value function, which equals the optimal cost of reduction with respect to the resolved variables, and the evolution of the estimated statistical state is deduced from the Hamilton-Jacobi equation satisfied by the value function. In the near-equilibrium regime, or under a local quadratic approximation in the far-from-equilibrium regime, this best-fit closure is governed by a differential equation for the estimated state vector coupled to a Riccati differential equation for the Hessian matrix of the value function. Since memory effects are not explicitly included in the trial densities, a single adjustable parameter is introduced into the cost function to capture a time-scale ratio between resolved and unresolved motions. Apart from this parameter, the closed equations for the resolved variables are completely determined by the underlying deterministic dynamics.
MULTIVARIATE REGRESSION S-ESTIMATORS FOR ROBUST ESTIMATION AND INFERENCE
Van Aelst, Stefan
1 MULTIVARIATE REGRESSION S-ESTIMATORS FOR ROBUST ESTIMATION AND INFERENCE Stefan Van Aelst-estimators for multivariate regression. We study the robustness of the estimators in terms of their breakdown point and in and multivariate location and scatter. Furthermore we develop a fast and robust bootstrap method
Use of Cost Estimating Relationships
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28T23:59:59.000Z
Cost Estimating Relationships (CERs) are an important tool in an estimator's kit, and in many cases, they are the only tool. Thus, it is important to understand their limitations and characteristics. This chapter discusses considerations of which the estimator must be aware so the Cost Estimating Relationships can be properly used.
State energy price and expenditure report 1989
Not Available
1991-09-30T23:59:59.000Z
The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates for the 50 States, the District of Columbia, and the United States. The estimates are provided by energy source (e.g., petroleum, natural gas, coal, and electricity) and by major consuming or economic sector. This report is an update of the State Energy Price and Expenditure Report 1988 published in September 1990. Changes from the last report are summarized in a section of the documentation. Energy price and expenditure estimates are published for the years 1970, 1975, 1980, and 1985 through 1989. Documentation follows the tables and describes how the price estimates are developed, including sources of data, methods of estimation, and conversion factors applied. Consumption estimates used to calculate expenditures, and the documentation for those estimates, are from the State Energy Data Report, Consumption Estimates, 1960--1989 (SEDR), published in May 1991. Expenditures are calculated by multiplying the price estimates by the consumption estimates, adjusted to remove process fuel and intermediate product consumption. All expenditures are consumer expenditures, that is, they represent estimates of money directly spent by consumers to purchase energy, generally including taxes. 11 figs., 43 tabs.
Symmetries in open quantum dynamics
Thomas F. Jordan
2014-08-20T23:59:59.000Z
Simple examples are used to introduce and examine a Heisenberg picture of symmetries of open quantum dynamics that can be described by unitary operators. When the symmetries are for Hamiltonian dynamics of an entire system, and the spectrum of the Hamiltonian operator has a lower bound, the symmetry operators commute with the Hamiltonian operator. An example shows that symmetry operators need not commute with the Hamiltonian operator when the spectrum of the Hamiltonian does not have a lower bound. There are many more symmetries that are only for the open dynamics of a subsystem and are described by unitary operators that do not commute with the Hamiltonian for the dynamics of the entire system. Examples show how these symmetries alone can reveal properties of the dynamics and reduce what needs to be done to work out the dynamics. A symmetry of the open dynamics of a subsystem can imply properties of the dynamics for the entire system that are not implied by the symmetries of the dynamics of the entire system. The symmetries are generally not related to constants of the motion for the open dynamics of the subsystem. There are symmetries of the open dynamics of a subsystem that depend only on the dynamics. In the simplest examples, these are also symmetries of the dynamics of the entire system. There are many more symmetries, of a new kind, that also depend on correlations, or absence of correlations, between the subsystem and the rest of the entire system, or on the state of the rest of the entire system. Symmetries that depend on correlations generally cannot be seen in the Schr\\"{o}dinger picture as symmetries of dynamical maps of density matrices for the subsystem.
Dynamic analysis of policy drivers for bioenergy commodity markets
Robert F. Jeffers; Jacob J. Jacobson; Erin M. Searcy
2001-01-01T23:59:59.000Z
Biomass is increasingly being considered as a feedstock to provide a clean and renewable source of energy in the form of both liquid fuels and electric power. In the United States, the biofuels and biopower industries are regulated by different policies and have different drivers which impact the maximum price the industries are willing to pay for biomass. This article describes a dynamic computer simulation model that analyzes future behavior of bioenergy feedstock markets given policy and technical options. The model simulates the long-term dynamics of these markets by treating advanced biomass feedstocks as a commodity and projecting the total demand of each industry as well as the market price over time. The model is used for an analysis of the United States bioenergy feedstock market that projects supply, demand, and market price given three independent buyers: domestic biopower, domestic biofuels, and foreign exports. With base-case assumptions, the biofuels industry is able to dominate the market and meet the federal Renewable Fuel Standard (RFS) targets for advanced biofuels. Further analyses suggest that United States bioenergy studies should include estimates of export demand in their projections, and that GHG-limiting policy would partially shield both industries from exporter dominance.
A message-passing approach for recurrent-state epidemic models on networks
Shrestha, Munik; Moore, Cristopher
2015-01-01T23:59:59.000Z
Epidemic processes are common out-of-equilibrium phenomena of broad interdisciplinary interest. Recently, dynamic message-passing (DMP) has been proposed as an efficient algorithm for simulating epidemic models on networks, and in particular for estimating the probability that a given node will become infectious at a particular time. To date, DMP has been applied exclusively to models with one-way state changes, as opposed to models like SIS (susceptible-infectious-susceptible) and SIRS (susceptible-infectious-recovered-susceptible) where nodes can return to previously inhabited states. Because many real-world epidemics can exhibit such recurrent dynamics, we propose a DMP algorithm for complex, recurrent epidemic models on networks. Our approach takes correlations between neighboring nodes into account while preventing causal signals from backtracking to their immediate source, and thus avoids "echo chamber effects" where a pair of adjacent nodes each amplify the probability that the other is infectious. We ...
Olama, Mohammed M [ORNL; Djouadi, Seddik M [ORNL; Charalambous, Prof. Charalambos [University of Cyprus
2009-01-01T23:59:59.000Z
Mobile-to-mobile networks are characterized by node mobility that makes the propagation environment time varying and subject to fading. As a consequence, the statistical characteristics of the received signal vary continuously, giving rise to a Doppler power spectral density (DPSD) which varies from one observation instant to the next. The current models do not capture and track the time varying characteristics. This paper is concerned with dynamical modelling of mobile-to-mobile channels, parameter estimation and identification from received signal measurements. The evolution of the propagation environment is described by stochastic differential equations. In particular, it is shown that the parameters of the models can be determined by approximating the band-limited DPSD using the Gauss-Newton method. However, since the DPSD is not available online, we propose to use a filter-based expectation maximization algorithm and Kalman filter to estimate the channel parameters and states, respectively. The scheme results in a finite dimensional filter which only uses the first and second order statistics. The algorithm is recursive allowing the inphase and quadrature components and parameters to be estimated online from received signal measurements. The algorithms are tested using experimental data collected from moving sensor nodes in indoor and outdoor environments demonstrating the method s viability.
Estimating the Attractor Dimension of the Equatorial Weather System
Melvin Leok Boon Tiong
1995-10-25T23:59:59.000Z
The correlation dimension and limit capacity serve theoretically as lower and upper bounds, respectively, of the fractal dimension of attractors of dynamic systems. In this paper, we show that estimates of the correlation dimension grow rapidly with increasing noise level in the time-series, while estimates of the limit capacity remain relatively unaffected. It is therefore proposed that the limit capacity be used in studies of noisy data, despite its heavier computational requirements. An analysis of Singapore wind data with the limit capacity estimate revealed a surprisingly low dimension (~2.5). It is suggested that further studies be made with comprehensive equatorial weather data.
Monotonic Local Decay Estimates
Avy Soffer
2011-10-29T23:59:59.000Z
For the Hamiltonian operator H = -{\\Delta}+V(x) of the Schr\\"odinger Equation with a repulsive potential, the problem of local decay is considered. It is analyzed by a direct method, based on a new, L^2 bounded, propagation observable. The resulting decay estimate, is in certain cases monotonic in time, with no "Quantum Corrections". This method is then applied to some examples in one and higher dimensions. In particular the case of the Wave Equation on a Schwarzschild manifold is redone: Local decay, stronger than the known ones are proved (minimal loss of angular derivatives and lower order of radial derivatives of initial data). The method developed here can be an alternative in some cases to the Morawetz type estimates, with L^2-multipliers replacing the first order operators. It provides an alternative to Mourre's method, by including thresholds and high energies.
Kampa, Aleksander Edward
1988-01-01T23:59:59.000Z
) December 1988 Extremal Index Estimation (December 1988) Aleksander Edward Kampa, Ecole Centrale de Paris, France Chairman of Advisory Comittee: Dr. Tailen Hsing If (X ) is a strictly stationary sequence satisfying certain n dependence restrictions (e.... g. D or A), then the relationship between the extremal properties of (X ) and its associated independent sequence (X ) n n can. under certain conditions, be summed up by a single constant Be[0. 1]. called the extremal index. Results of extreme...
Biosystem Dynamics & Design | EMSL
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Dynamics & Design Overview Atmospheric Aerosol Systems Biosystem Dynamics & Design Energy Materials & Processes Terrestrial & Subsurface Ecosystems Biosystem Dynamics &...
Origin State Destination State
Gasoline and Diesel Fuel Update (EIA)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362 334 318 706Production% of Total2003Year Jan Feb19Feet) Year511Feet) Working5. Estimated
Origin State Destination State
Gasoline and Diesel Fuel Update (EIA)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362 334 318 706Production% of Total2003Year Jan Feb19Feet) Year511Feet) Working5. Estimated6.
Origin State Destination State
Gasoline and Diesel Fuel Update (EIA)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362 334 318 706Production% of Total2003Year Jan Feb19Feet) Year511Feet) Working5.8. Estimated
Origin State Destination State
Gasoline and Diesel Fuel Update (EIA)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362 334 318 706Production% of Total2003Year Jan Feb19Feet) Year511Feet)8. Estimated rail
Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic...
Broader source: Energy.gov (indexed) [DOE]
DOE U.S. Department of Energy GVAX Ganges Valley Aerosol Experiment HPC High performance computing MAE Mean absolute error MDE Median absolute error MF Mobile facility NREL...
Gossip-based density estimation in dynamic heterogeneous sensor networks
Langendoen, Koen
, introduce new challenges. Moreover, churn makes the problem even more complicated. In this paper we networks. The devised method supports node mobility and churn, as well as redeployment of new nodes/exit a cluster and they do not have fixed neighbors. One of the other challenges is churn caused by either nodes
Decisionmetrices : dynamic structural estimation of shipping investment decisions
Dikos, George
2004-01-01T23:59:59.000Z
This dissertation develops structural models for analyzing shipping investment decisions, namely ordering, scrapping and lay-up decisions in the tanker industry. We develop models, based on a microeconomic specification, ...
Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankShale_Gas.pdfServiceDepartment ofEnergyPlus Overcomes2Erin Moore Erin Moore PhoneSalt |Workshop -
Estimation Strategies for Constrained and Hybrid Dynamical Systems
Parish, Julie Marie Jones
2012-10-19T23:59:59.000Z
finite- and infinite-dimensional coordinates. The associated governing equations are integro-partial differential equations. As with constrained systems, these governing equations must be transformed in order to employ the CDEKF. Here, this transformation...
The effects of incorporating dynamic data on estimates of uncertainty
Mulla, Shahebaz Hisamuddin
2004-09-30T23:59:59.000Z
analysis. The results were compared with the uncertainty predicted using only static data. We also investigated approaches for best selecting a smaller number of models from a larger set of realizations to be history matched for quantification...
Quantitative estimation in Health Impact Assessment: Opportunities and challenges
Bhatia, Rajiv, E-mail: rajiv.bhatia@sfdph.or [San Francisco Department of Public Health, CA (United States); Seto, Edmund [University of California at Berkeley, CA (United States)
2011-04-15T23:59:59.000Z
Health Impact Assessment (HIA) considers multiple effects on health of policies, programs, plans and projects and thus requires the use of diverse analytic tools and sources of evidence. Quantitative estimation has desirable properties for the purpose of HIA but adequate tools for quantification exist currently for a limited number of health impacts and decision settings; furthermore, quantitative estimation generates thorny questions about the precision of estimates and the validity of methodological assumptions. In the United States, HIA has only recently emerged as an independent practice apart from integrated EIA, and this article aims to synthesize the experience with quantitative health effects estimation within that practice. We use examples identified through a scan of available identified instances of quantitative estimation in the U.S. practice experience to illustrate methods applied in different policy settings along with their strengths and limitations. We then discuss opportunity areas and practical considerations for the use of quantitative estimation in HIA.
Robust Single-Qubit Process Calibration via Robust Phase Estimation
Shelby Kimmel; Guang Hao Low; Theodore J. Yoder
2015-02-09T23:59:59.000Z
An important step in building a quantum computer is calibrating experimentally implemented quantum gates to produce operations that are close to ideal unitaries. The calibration step involves estimating the error in gates and then using controls to correct the implementation. Quantum process tomography is a standard technique for estimating these errors, but is both time consuming, (when one only wants to learn a few key parameters), and requires resources, like perfect state preparation and measurement, that might not be available. With the goal of efficiently estimating specific errors using minimal resources, we develop a parameter estimation technique, which can gauge two key parameters (amplitude and off-resonance errors) in a single-qubit gate with provable robustness and efficiency. In particular, our estimates achieve the optimal efficiency, Heisenberg scaling. Our main theorem making this possible is a robust version of the phase estimation procedure of Higgins et al. [B. L. Higgins, New J. Phys. 11, 073023 (2009)].
REQUESTS FOR RETIREMENT ESTIMATE
Office of Environmental Management (EM)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362 of Thomas P.Oil,J. B.Department ofEnergyREQUEST FOR RETIREMENT ANNUITY ESTIMATE Instructions:
Dynamic Response Of Complex Materials Under Shock Loading
Arman, Bedri
2012-10-19T23:59:59.000Z
We investigated dynamic response of Cu46Zr54 metallic glass under adiabatic planar shock wave loading (one-dimensional strain) with molecular dynamics simulations, including Hugoniot (shock) states, shock-induced plasticity, and spallation...
Comparative Dynamics of Leucine Methyl Groups in FMOC-Leucine...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Dynamics of Leucine Methyl Groups in FMOC-Leucine and in a ProteinHydrophobic Core Probed by Solid-State Deuteron Comparative Dynamics of Leucine Methyl Groups in FMOC-Leucine and...
Dynamics of generalized tachyon field
Rong-Jia Yang; Jingzhao Qi
2012-08-06T23:59:59.000Z
We investigate the dynamics of generalized tachyon field in FRW spacetime. We obtain the autonomous dynamical system for the general case. Because the general autonomous dynamical system cannot be solved analytically, we discuss two cases in detail: $\\beta=1$ and $\\beta=2$. We find the critical points and study their stability. At these critical points, we also consider the stability of the generalized tachyon field, which is as important as the stability of critical points. The possible final states of the universe are discussed.
Jikang Chen
2010-03-01T23:59:59.000Z
The carrier or medium of electromagnetic waves has been vainly searched for many years, and now it has been caught after the establishment of the dynamic equations in photon gas. The photon's rest mass has been estimated from the cosmic background temperature in space where the photon gas is at an open state of thermal equilibrium, and the photon's proper magnetic moment is calculated from the dynamic equations of photon gas too. As the carrier of electromagnetic waves, the photon gas is a discrete medium at very high frequency, and then the Bohr's electron is hardly to emit energy in wave form and can be stably rounding the nuclei in discrete orbits at lower temperature.
Image-based meteorologic visibility estimation
Graves, Nathan
2011-01-01T23:59:59.000Z
the estimated luminance. . . . . . . . . . . . . . . . . .Nephelometer . . . . . . 3.4.3 Luminance Meter . . . . 4intensity and the estimated luminance. . . . . . . . . .
Hamme, Roberta C; Emerson, Steven R
2006-01-01T23:59:59.000Z
ux estimates and bubble dynamics. Organic carbon export fromcarbon export estimates for the whole euphotic zone. Both bubblebubble ?uxes would have had a much larger effect. Previous observations of organic carbon
State energy price and expenditure report 1992
Not Available
1994-12-01T23:59:59.000Z
The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the United States. The price and expenditure estimates are provided by energy source and economic sector and are published for the years 1970, 1980, and 1985 through 1992. Data for all years, 1970 through 1992, are available on personal computer diskettes.
Estimated Costs of Crop Production in Iowa -2007 File A1-20
Duffy, Michael D.
Estimated Costs of Crop Production in Iowa - 2007 File A1-20 T he estimated costs of corn, corn sources. They include the annual Iowa Farm Business Asso- ciation record summaries, production and costs the state. These costs estimates are representative of average costs for farms in Iowa. Very large or small
Estimated Costs of Crop Production in Iowa -2009 File A1-20
Duffy, Michael D.
Estimated Costs of Crop Production in Iowa - 2009 File A1-20 T he estimated costs of corn, corn sources. They include the annual Iowa Farm Business Asso- ciation record summaries, production and costs the state. These costs estimates are representative of average costs for farms in Iowa. Very large or small
Estimated Costs of Crop Production in Iowa -2008 File A1-20
Duffy, Michael D.
Estimated Costs of Crop Production in Iowa - 2008 File A1-20 T he estimated costs of corn, corn sources. They include the annual Iowa Farm Business Asso- ciation record summaries, production and costs the state. These costs estimates are representative of average costs for farms in Iowa. Very large or small
Zeghib, Abdelghani
Introduction Results Linear Dynamics Lorentz Dynamics Actions of discrete groups on stationary Piccione) Geodeycos Meeting, Lyon, 28-30 April 2010 Abdelghani Zeghib Dynamics on Lorentz manifolds #12;Introduction Results Linear Dynamics Lorentz Dynamics Motivations and questions Examples 1 Introduction
Cost Estimating, Analysis, and Standardization
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1984-11-02T23:59:59.000Z
To establish policy and responsibilities for: (a) developing and reviewing project cost estimates; (b) preparing independent cost estimates and analysis; (c) standardizing cost estimating procedures; and (d) improving overall cost estimating and analytical techniques, cost data bases, cost and economic escalation models, and cost estimating systems. Cancels DOE O 5700.2B, dated 8-5-1983; DOE O 5700.8, dated 5-27-1981; and HQ 1130.1A, dated 12-30-1981. Canceled by DOE O 5700.2D, dated 6-12-1992
Residential water use and landscape vegetation dynamics in Los Angeles
Mini, Caroline
2013-01-01T23:59:59.000Z
Reidy, K. (2008). Residential Water Demand Management:Estimation of residential water demand: a state-of-the-art2009, Determinants of residential water demand in Germany,
Load Modeling and State Estimation Methods for Power Distribution Systems:
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville PowerTariff Pages default Sign InCenter (LMI-EFRC) Hotel &NUGVehiclesLiving With
State Energy Profiles and Estimates (SEDS) Report Archives
Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362 334 318 706Production% of41.1Diesel pricesAdministrationpropanedrivers3 Outlook for GulfSpotU.S.
Linear and Nonlinear State Estimation in the Czochralski Process
Gravdahl, Jan Tommy
is the only method used commercially for production of monocrystalline silicon for semiconductor and solar decades because of the development of semiconductor engineering and the solar industries. After production process is shown in Figure 1. The solid silicon put in a crucible. Electrical heaters are used both
Real-time state estimation of laboratory flows
Stransky, Scott (Scott M.)
2007-01-01T23:59:59.000Z
In this project, we use a real time computer model to simulate a differentially heated laboratory annulus. The laboratory annulus allows us to study chaotic flows typical of the atmosphere. Our objective is to bring the ...
Monte Carlo approaches to hidden Markov model state estimation
Sollberger, Derek
2011-01-01T23:59:59.000Z
Results with Sample Size T = 100 Energy Prices and B =with Sample Size T = 100 Energy Prices and B = 50 . . . . .is in metric tons. 3. Energy Prices: California Independent
A Nonstochastic Information Theory for Communication and State Estimation
Nair, Girish N
2011-01-01T23:59:59.000Z
In communications, unknown variables are usually modelled as random variables, and concepts such as independence, entropy and information are defined in terms of the underlying probability distributions. In contrast, control theory often treats uncertainties and disturbances as bounded unknowns having no statistical structure. The area of networked control combines both fields, raising the question of whether it is possible to construct meaningful analogues of stochastic concepts such as independence, Markovness, entropy and information without assuming a probability space. This paper introduces a framework for doing so, leading to the construction of a "maximin information" functional for nonstochastic variables. It is shown that the largest maximin information rate through a memoryless, error-prone channel in this framework coincides with the block-coding zero-error capacity of the channel. Maximin information is then used to derive a tight condition for achieving exponential uniform convergence when estima...
Runtime Verification with State Estimation Scott D. Stoller1
Grosu, Radu
. Recently, a number of techniques have been developed to mitigate the over- head due to RV [12, 9, 1, 13, 5 by sampling. In such situations, there may be gaps in the observed program executions, thus making ac- curate demonstrate high prediction accuracy for the probabilities computed by our algorithm. They also show that our
Estimates of State Energy-Related Carbon Dioxide Emissions
Gasoline and Diesel Fuel Update (EIA)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362 334 318 706 802Decade Year-0 Year-1ColoradoDatabase FormInformation Administration
ARM Site Atmospheric State Best Estimates for AIRS Validation
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41cloth Documentation Data ManagementProductswsicloudwsicloudsummary Documentation Data Management8Data from009Science1
The time to reach pseudosteady-state in horizontal wells
Al-Kahtani, Abdulghafour
1998-01-01T23:59:59.000Z
Engineers need to estimate the expected productivity of horizontal wells. We need to know how long it takes to reach pseudosteady-state to accept that estimation. When all boundaries influence the pressure distribution in the drainage area...
Heuristic for estimation of multiqubit genuine multipartite entanglement
Paulo E. M. F. Mendonca; Marcelo A. Marchiolli; Gerard J. Milburn
2015-01-28T23:59:59.000Z
For every N-qubit density matrix written in the computational basis, an associated "X-density matrix" can be obtained by vanishing all entries out of the main- and anti-diagonals. It is very simple to compute the genuine multipartite (GM) concurrence of this associated N-qubit X-state, which, moreover, lower bounds the GM-concurrence of the original (non-X) state. In this paper, we rely on these facts to introduce and benchmark a heuristic for estimating the GM-concurrence of an arbitrary multiqubit mixed state. By explicitly considering two classes of mixed states, we illustrate that our estimates are usually very close to the standard lower bound on the GM-concurrence, being significantly easier to compute. In addition, while evaluating the performance of our proposed heuristic, we provide the first characterization of GM-entanglement in the steady states of the driven Dicke model at zero temperature.
Estimation of cost synergies from mergers without cost data: Application to U.S. radio
Niebur, Ernst
Estimation of cost synergies from mergers without cost data: Application to U.S. radio Przemyslaw without using actual data on cost. The estimator uses a structural model in which companies play a dynamic for cost data. It turns out that between 1996 and 2006 additional ownership concentration generated $2.5b
Run-time Modeling and Estimation of Operating System Power Consumption
John, Lizy Kurian
Run-time Modeling and Estimation of Operating System Power Consumption Tao Li Department computing systems point to the need for power modeling and estimation for all components of a system software power evaluation, as well as power management (e.g. dynamic thermal control and equal energy
Exploring Spatial Correlation for Link Quality Estimation in Wireless Sensor Networks
Lee, Dongwon
Exploring Spatial Correlation for Link Quality Estimation in Wireless Sensor Networks Yingqi Xu in wireless sensor network design. Dynamic network conditions and environmental factors make an on-line, self and accurate estimation of link quality in wireless sensor networks. This algorithm captures the spatial
On Estimating the Scale of National Deep Web Denis Shestakov and Tapio Salakoski
Hammerton, James
On Estimating the Scale of National Deep Web Denis Shestakov and Tapio Salakoski Turku Centre. With the advances in web technologies, more and more in- formation on the Web is contained in dynamically-generated web pages. Among several types of web "dynamism" the most important one is the case when web pages
Residential Lighting End-Use Consumption Study: Estimation Framework and Initial Estimates
Gifford, Will R.; Goldberg, Miriam L.; Tanimoto, Paulo M.; Celnicker, Dane R.; Poplawski, Michael E.
2012-12-01T23:59:59.000Z
The U.S. DOE Residential Lighting End-Use Consumption Study is an initiative of the U.S. Department of Energy’s (DOE’s) Solid-State Lighting Program that aims to improve the understanding of lighting energy usage in residential dwellings. The study has developed a regional estimation framework within a national sample design that allows for the estimation of lamp usage and energy consumption 1) nationally and by region of the United States, 2) by certain household characteristics, 3) by location within the home, 4) by certain lamp characteristics, and 5) by certain categorical cross-classifications (e.g., by dwelling type AND lamp type or fixture type AND control type).
A multivariate phase distribution and its estimation
Charles F. Cadieu; Kilian Koepsell
2009-06-21T23:59:59.000Z
Circular variables such as phase or orientation have received considerable attention throughout the scientific and engineering communities and have recently been quite prominent in the field of neuroscience. While many analytic techniques have used phase as an effective representation, there has been little work on techniques that capture the joint statistics of multiple phase variables. In this paper we introduce a distribution that captures empirically observed pair-wise phase relationships. Importantly, we have developed a computationally efficient and accurate technique for estimating the parameters of this distribution from data. We show that the algorithm performs well in high-dimensions (d=100), and in cases with limited data (as few as 100 samples per dimension). We also demonstrate how this technique can be applied to electrocorticography (ECoG) recordings to investigate the coupling of brain areas during different behavioral states. This distribution and estimation technique can be broadly applied to any setting that produces multiple circular variables.
Duffy, Michael D.
The estimated costs of corn, corn silage, soybeans, al- falfa, and pasture maintenance record summaries, production and costs data from the Departments of Economics, Agricultural cooperatives and other input suppliers around the state. These costs estimates are representative of average
Correlated exciton dynamics in semiconductor nanostructures
Wen, Patrick, Ph. D. Massachusetts Institute of Technology
2013-01-01T23:59:59.000Z
The absorption and dissipation of energy in semiconductor nanostructures are often determined by excited electron dynamics. In semiconductors, one fundamentally important electronic state is an exciton, an excited electron ...
Dynamical analysis of highly excited molecular spectra
Kellman, M.E. [Univ. of Oregon, Eugene (United States)
1993-12-01T23:59:59.000Z
The goal of this program is new methods for analysis of spectra and dynamics of highly excited vibrational states of molecules. In these systems, strong mode coupling and anharmonicity give rise to complicated classical dynamics, and make the simple normal modes analysis unsatisfactory. New methods of spectral analysis, pattern recognition, and assignment are sought using techniques of nonlinear dynamics including bifurcation theory, phase space classification, and quantization of phase space structures. The emphasis is chaotic systems and systems with many degrees of freedom.
Delay modeling and glitch estimation for CMOS circuits
Shiau, Yan-Chyuan
1988-01-01T23:59:59.000Z
state transition approximation. 4. 1 The determination of equivalent capacitance. 4. 2 Some factors affecting the timing delay. 5. 1 Example of dynamic latch circuit. 5. 2 Example of counter circuit. 6. 1 Glitch approximation. . 6. 2 Example... node. ll 4, 6 Relation between equivalent capacitance and input waveform. 22 5. 1 Speed comparisons of the dynamic latch circuit in VAX 11/750. . . 23 5. 2 Speed comparisons of the counter circuit in VAX 11/750. CHAPTER I INTRODUCTION 1. 1...
Dynamical approach to heavy-ion induced fusion using actinide target
Aritomo, Y.; Hagino, K.; Chiba, S.; Nishio, K. [Flerov Laboratory of Nuclear Reactions, JINR, Dubna, 141980 (Russian Federation); Department of Physics, Tohoku University, Sendai 980-8578 (Japan); Research Laboratory for Nuclear Reactors, Tokyo Institute of Technology, Tokyo 152-8550 (Japan); Japan Atomic Energy Agency, Tokai, Ibaraki, 319-1195 (Japan)
2012-10-20T23:59:59.000Z
To treat heavy-ion reactions using actinide target nucleus, we propose a model which takes into account the coupling to the collective states of interacting nuclei in the penetration of the Coulomb barrier and the dynamical evolution of nuclear shape from the contact configuration. A fluctuation-dissipation model (Langevin equation) was applied in the dynamical calculation, where effect of nuclear orientation at the initial impact on the prolately deformed target nucleus was considered. Using this model, we analyzed the experimental data for the mass distribution of fission fragments (MDFF) in the reaction of {sup 36}S+{sup 238}U at several incident energies. Fusion-fission, quasifission and deep-quasi-fission are separated as different trajectories on the potential energy surface. We estimated the fusion cross section of the reaction.
Demonstration of Entanglement-Enhanced Phase Estimation in Solid
Gang-Qin Liu; Yu-Ran Zhang; Yan-Chun Chang; Jie-Dong Yue; Heng Fan; Xin-Yu Pan
2015-04-08T23:59:59.000Z
Precise parameter estimation plays a central role in science and technology. The statistical error in estimation can be decreased by repeating measurement, leading to that the resultant uncertainty of the estimated parameter is proportional to the square root of the number of repetitions in accordance with the central limit theorem. Quantum parameter estimation, an emerging field of quantum technology, aims to use quantum resources to yield higher statistical precision than classical approaches. Here, we report the first room-temperature implementation of entanglement-enhanced phase estimation in a solid-state system: the nitrogen-vacancy centre in pure diamond. We demonstrate a super-resolving phase measurement with two entangled qubits of different physical realizations: an nitrogen-vacancy centre electron spin and a proximal ${}^{13}$C nuclear spin. The experimental data shows clearly the uncertainty reduction when entanglement resource is used, confirming the theoretical expectation. Our results represent an elemental demonstration of enhancement of quantum metrology against classical procedure.
Different approaches to estimating transition costs in the electric- utility industry
Baxter, L.W.
1995-10-01T23:59:59.000Z
The term ``transition costs`` describes the potential revenue shortfall (or welfare loss) a utility (or other actor) may experience through government-initiated deregulation of electricity generation. The potential for transition costs arises whenever a regulated industry is subject to competitive market forces as a result of explicit government action. Federal and state proposals to deregulate electricity generation sparked a national debate on transition costs in the electric-utility industry. Industry-wide transition cost estimates range from about $20 billion to $500 billion. Such disparate estimates raise important questions on estimation methods for decision makers. This report examines different approaches to estimating transition costs. The study has three objectives. First, we discuss the concept of transition cost. Second, we identify the major cost categories included in transition cost estimates and summarize the current debate on which specific costs are appropriately included in these estimates. Finally, we identify general and specific estimation approaches and assess their strengths and weaknesses. We relied primarily on the evidentiary records established at the Federal Energy Regulatory Commission and the California Public Utilities Commission to identify major cost categories and specific estimation approaches. We also contacted regulatory commission staffs in ten states to ascertain estimation activities in each of these states. We refined a classification framework to describe and assess general estimation options. We subsequently developed and applied criteria to describe and assess specific estimation approaches proposed by federal regulators, state regulators, utilities, independent power companies, and consultants.
Population dynamics, production, and prey consumption of fathead minnows (Pimephales
) in prairie wetlands: a bioenergetics approach W.G. Duffy Abstract: I assessed the population dynamics of fathead minnows (Pimephales promelas) in prairie wetlands and developed a bioenergetics model to estimate
Pose and Motion Estimation Using Dual Quaternion-Based Extended Kalman Filtering
Goddard, J.S.; Abidi, M.A.
1998-06-01T23:59:59.000Z
A solution to the remote three-dimensional (3-D) measurement problem is presented for a dynamic system given a sequence of two-dimensional (2-D) intensity images of a moving object. The 3-D transformation is modeled as a nonlinear stochastic system with the state estimate providing the six-degree-of-freedom motion and position values as well as structure. The stochastic model uses the iterated extended Kalman filter (IEKF) as a nonlinear estimator and a screw representation of the 3-D transformation based on dual quaternions. Dual quaternions, whose elements are dual numbers, provide a means to represent both rotation and translation in a unified notation. Linear object features, represented as dual vectors, are transformed using the dual quaternion transformation and are then projected to linear features in the image plane. The method has been implemented and tested with both simulated and actual experimental data. Simulation results are provided, along with comparisons to a point-based IEKF method using rotation and translation, to show the relative advantages of this method. Experimental results from testing using a camera mounted on the end effector of a robot arm are also given.
Bioenergy market competition for biomass: A system dynamics review of current policies
Jacob J. Jacobson; Robert Jeffers
2013-07-01T23:59:59.000Z
There is growing interest in the United States and abroad to increase the use of biomass as an energy source due to environmental and energy security benefits. In the United States, the biofuel and biopower industries are regulated by different policies and different agencies and have different drivers, which impact the maximum price the industries are willing to pay for biomass. This article describes a dynamic computer simulation model that analyzes future behavior of bioenergy feedstock markets based on varying policy and technical options. The model simulates the long-term dynamics of these markets by treating advanced biomass feedstocks as a commodity and projecting the total demand of each industry, as well as the market price over time. The model is used for an analysis of the United States bioenergy feedstock market that projects supply, demand, and market price given three independent buyers: domestic biopower, domestic biofuels, and foreign exports. With base-case assumptions, the biofuels industry is able to dominate the market and meet the federal Renewable Fuel Standard (RFS) targets for advanced biofuels. Further analyses suggest that United States bioenergy studies should include estimates of export demand for biomass in their projections, and that GHG-limiting policy would partially shield both industries from export dominance.
Period doubling, information entropy, and estimates for Feigenbaum's constants
Reginald D. Smith
2013-08-03T23:59:59.000Z
The relationship between period doubling bifurcations and Feigenbaum's constants has been studied for nearly 40 years and this relationship has helped uncover many fundamental aspects of universal scaling across multiple nonlinear dynamical systems. This paper will combine information entropy with symbolic dynamics to demonstrate how period doubling can be defined using these tools alone. In addition, the technique allows us to uncover some unexpected, simple estimates for Feigenbaum's constants which relate them to log 2 and the golden ratio, phi, as well as to each other.
Magnetostrophic balance as the optimal state for turbulent magnetoconvection
King, EM; Aurnou, JM
2015-01-01T23:59:59.000Z
that the magnetostrophic balance is no longer attained (Magnetostrophic balance as the optimal state for turbulentLorentz and Coriolis forces balance. One can estimate the
Mapping and Assessment of the United States Ocean Wave Energy...
Mapping and Assessment of the United States Ocean Wave Energy Resource This project estimates the naturally available and technically recoverable U.S. wave energy resources, using...
Examples of Cost Estimation Packages
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28T23:59:59.000Z
Estimates can be performed in a variety of ways. Some of these are for projects for an undefined scope, a conventional construction project, or where there is a level of effort required to complete the work. Examples of cost estimation packages for these types of projects are described in this appendix.
State Energy Overview. [Contains glossary
Not Available
1983-10-01T23:59:59.000Z
An overview of selected energy-related data for the United States, for each state, and for the District of Columbia is presented. Included are the quantities of energy produced and consumed, estimates of fuel reserves, the value of nonrenewable fuels produced by type, energy expenditures, and consumer prices. Also provided for each state are selected demographic and energy-related information that have been ranked and expressed as a percent of the national total. This overview provides a ready reference and a quick access to selected state energy information and state rankings for various socioeconomic and energy items. The State Energy Overview is arranged in five sections. The first section presents United States totals and an overview of state rankings. The second depicts data for the 50 states and the District of Columbia. The glossary presents definitions germane to this publication and the fourth section describes methodology and includes remarks concerning the information and methods used to estimate 1982 consumption numbers. The fifth section presents sources of data and information for this publication. A summary of each section is included.
State coal profiles, January 1994
Not Available
1994-02-02T23:59:59.000Z
The purpose of State Coal Profiles is to provide basic information about the deposits, production, and use of coal in each of the 27 States with coal production in 1992. Although considerable information on coal has been published on a national level, there is a lack of a uniform overview for the individual States. This report is intended to help fill that gap and also to serve as a framework for more detailed studies. While focusing on coal output, State Coal Profiles shows that the coal-producing States are major users of coal, together accounting for about three-fourths of total US coal consumption in 1992. Each coal-producing State is profiled with a description of its coal deposits and a discussion of the development of its coal industry. Estimates of coal reserves in 1992 are categorized by mining method and sulfur content. Trends, patterns, and other information concerning production, number of mines, miners, productivity, mine price of coal, disposition, and consumption of coal are detailed in statistical tables for selected years from 1980 through 1992. In addition, coal`s contribution to the State`s estimated total energy consumption is given for 1991, the latest year for which data are available. A US summary of all data is provided for comparing individual States with the Nation as a whole. Sources of information are given at the end of the tables.
TRACKING CODE DEVELOPMENT FOR BEAM DYNAMICS OPTIMIZATION
Yang, L.
2011-03-28T23:59:59.000Z
Dynamic aperture (DA) optimization with direct particle tracking is a straight forward approach when the computing power is permitted. It can have various realistic errors included and is more close than theoretical estimations. In this approach, a fast and parallel tracking code could be very helpful. In this presentation, we describe an implementation of storage ring particle tracking code TESLA for beam dynamics optimization. It supports MPI based parallel computing and is robust as DA calculation engine. This code has been used in the NSLS-II dynamics optimizations and obtained promising performance.
Introduction to Dynamic Distributed
Roma "La Sapienza", Università di
Introduction to Dynamic Distributed SystemsSystems #12;Outline Introduction Churn Building Applications in Dynamic Distributed Systems RegistersRegisters Eventual Leader election Connectivity in Dynamic Distributed Systems #12;Dynamic Distributed Systems: Context & Motivations Advent of Complex Distributed
RAPID DYNAMICAL CHAOS IN AN EXOPLANETARY SYSTEM
Deck, Katherine M.; Winn, Joshua N. [Department of Physics and Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139 (United States); Holman, Matthew J.; Carter, Joshua A.; Ragozzine, Darin [Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138 (United States); Agol, Eric [Department of Astronomy, Box 351580, University of Washington, Seattle, WA 98195 (United States); Lissauer, Jack J. [NASA Ames Research Center, Moffet Field, CA 94035 (United States)
2012-08-10T23:59:59.000Z
We report on the long-term dynamical evolution of the two-planet Kepler-36 system, which consists of a super-Earth and a sub-Neptune in a tightly packed orbital configuration. The orbits of the planets, which we studied through numerical integrations of initial conditions that are consistent with observations of the system, are chaotic with a Lyapunov time of only {approx}10 years. The chaos is a consequence of a particular set of orbital resonances, with the inner planet orbiting 34 times for every 29 orbits of the outer planet. The rapidity of the chaos is due to the interaction of the 29:34 resonance with the nearby first-order 6:7 resonance, in contrast to the usual case in which secular terms in the Hamiltonian play a dominant role. Only one contiguous region of phase space, accounting for {approx}4.5% of the sample of initial conditions studied, corresponds to planetary orbits that do not show large-scale orbital instabilities on the timescale of our integrations ({approx}200 million years). Restricting the orbits to this long-lived region allows a refinement of estimates of the masses and radii of the planets. We find that the long-lived region consists of the initial conditions that satisfy the Hill stability criterion by the largest margin. Any successful theory for the formation of this system will need to account for why its current state is so close to unstable regions of phase space.
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
per year (or one incident every 1.4 years). Petroleum product does not appear to be transported by rail in the State of Hawaii. ENERGY SECTOR RISK PROFILE State of Hawaii...