Measurement enhancement for state estimation
Chen, Jian
2009-05-15
to accurately monitor the system operating state. State estimation is an essential tool in an energy management system (EMS). It is responsible for providing an accurate and correct estimate for the system operating state based on the available measurements...
State energy data report 1994: Consumption estimates
1996-10-01
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.
State energy data report 1993: Consumption estimates
1995-07-01
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, 1991: Consumption estimates
Not Available
1993-05-01
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 the Government, policy makers, and the public; and (2) to provide the historical series necessary for EIA`s energy models.
State energy data report 1995 - consumption estimates
1997-12-01
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.
Enhanced State Estimators Final Project Report
Enhanced State Estimators Final Project Report Power Systems Engineering Research Center A National Engineering Research Center Enhanced State Estimators Final Project Report Report Authors Jun Zhu, Ph-373-3051 Fax: 617-373-4431 Email: abur@ece.neu.edu Power Systems Engineering Research Center This is a project
Parallel State Estimation Assessment with Practical Data
Chen, Yousu; Jin, Shuangshuang; Rice, Mark J.; Huang, Zhenyu
2014-10-31
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.
Efficient Power System State Estimation
Lavaei, Javad
failure or generator outages. In the normal insecure state, a system may not be able to handle to be normal, when in reality it is not. Then the employees at the control center would not be able to act preemptively to alleviate any situations on the ground. They might find out too late, when there are already
State energy data report 1996: Consumption estimates
1999-02-01
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.
Sub-Second Parallel State Estimation
Chen, Yousu; Rice, Mark J.; Glaesemann, Kurt R.; Wang, Shaobu; Huang, Zhenyu
2014-10-31
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
1994-05-01
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.
PMU Deployment for Optimal State Estimation Performance
Roy, Sumit
PMU Deployment for Optimal State Estimation Performance Yue Yang, Student Member IEEE, and Sumit are anticipated; however, due to the high cost of PMU installation, their deployment will continue to be selective minimal-PMU sets that achieve full observability, affording an additional degree of freedom to select
Estimated United States Transportation Energy Use 2005
Smith, C A; Simon, A J; Belles, R D
2011-11-09
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.
Parameter and state estimation in nonlinear dynamical systems
Creveling, Daniel R.
2008-01-01
and J. Kurths. Nonlinear dynamical system identi?ca- tionEstimation In Nonlinear Dynamical Systems A dissertationState Estimation In Nonlinear Dynamical Systems by Daniel R.
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
Control relevant modeling and nonlinear state estimation applied to
Foss, Bjarne A.
Control relevant modeling and nonlinear state estimation applied to SOFC-GT power systems #12;ii #12;iii Rambabu Kandepu Control relevant modeling and nonlin- ear state estimation applied to SOFC- GT of the most promising fuel cell technologies is the Solid Oxide Fuel Cell (SOFC), due to its solid state
Hybrid Systems State estimation for hybrid systems: applications
Tomlin, Claire
Hybrid Systems State estimation for hybrid systems: applications to aircraft tracking I. Hwang, H of a stochastic linear hybrid system, given only the continuous system output data, is studied. Well established techniques for hybrid estimation, known as the multiple model adaptive estimation algorithm
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
Estimation of covariance matrix of macroscopic quantum states
László Ruppert; Vladyslav C. Usenko; Radim Filip
2015-11-20
For systems analogous to a linear harmonic oscillator, the simplest way to characterize the state is by a covariance matrix containing the symmetrically-ordered moments of position and momentum. We show that without direct access to either position or momentum, the estimation of the covariance matrix of non-classical states is still possible using interference with a classical noisy and low- intensity reference and linear detection of energy. Such a detection technique will allow to estimate macroscopic quantum states of electromagnetic radiation without a coherent high-intensity local oscillator. It can be directly applied to estimate the covariance matrix of macroscopically bright squeezed states of light.
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
Improved measurement placement and topology processing in power system state estimation
Wu, Yang
2009-06-02
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...
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...
The Lithium-Ion Cell: Model, State Of Charge Estimation
Schenato, Luca
The Lithium-Ion Cell: Model, State Of Charge Estimation and Battery Management System Tutor and Y. Fuentes. Computer simulations of a lithium-ion polymer battery and implications for higher. Di Domenico, A. Stefanopoulou, and G. Fiengo., Reduced Order Lithium-ion Battery Electrochemical
Optimal PMU Placement Evaluation for Power System Dynamic State Estimation
Pollefeys, Marc
Optimal PMU Placement Evaluation for Power System Dynamic State Estimation Jinghe Zhang, Student--The synchronized phasor measurement unit (PMU), developed in the 1980s, is considered to be one of the most important devices in the future of power systems. The recent development of PMU technology provides high
Multiple phase estimation for arbitrary pure states under white noise
Yao Yao; Li Ge; Xing Xiao; Xiaoguang Wang; C. P. Sun
2014-09-08
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.
Freeman, Matthew A
2006-10-30
estimation is explained for a simple serial estimator. Then the thesis shows how conventional measurements and newer, more accurate PMU measurements work within the framework of weighted least squares estimation. Next, the multi-area state estimator...
Basin structure of optimization based state and parameter estimation
Jan Schumann-Bischoff; Ulrich Parlitz; Henry D. I. Abarbanel; Mark Kostuk; Daniel Rey; Michael Eldridge; Stefan Luther
2015-07-08
Most data based state and parameter estimation methods require suitable initial values or guesses to achieve convergence to the desired solution, which typically is a global minimum of some cost function. Unfortunately, however, other stable solutions (e.g., local minima) may exist and provide suboptimal or even wrong estimates. Here we demonstrate for a 9-dimensional Lorenz-96 model how to characterize the basin size of the global minimum when applying some particular optimization based estimation algorithm. We compare three different strategies for generating suitable initial guesses and we investigate the dependence of the solution on the given trajectory segment (underlying the measured time series). To address the question of how many state variables have to be measured for optimal performance, different types of multivariate time series are considered consisting of 1, 2, or 3 variables. Based on these time series the local observability of state variables and parameters of the Lorenz-96 model is investigated and confirmed using delay coordinates. This result is in good agreement with the observation that correct state and parameter estimation results are obtained if the optimization algorithm is initialized with initial guesses close to the true solution. In contrast, initialization with other exact solutions of the model equations (different from the true solution used to generate the time series) typically fails, i.e. the optimization procedure ends up in local minima different from the true solution. Initialization using random values in a box around the attractor exhibits success rates depending on the number of observables and the available time series (trajectory segment).
Estimated Carbon Dioxide Emissions in 2008: United States
Smith, C A; Simon, A J; Belles, R D
2011-04-01
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.
Numerical Estimation of Frictional Torques with Rate and State Friction
Arun K. Singh; T. N. Singh
2015-01-20
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.
Estimated United States Residential Energy Use in 2005
Smith, C A; Johnson, D M; Simon, A J; Belles, R D
2011-12-12
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.
Meliopoulos, Sakis; Cokkinides, George; Fardanesh, Bruce; Hedrington, Clinton
2013-12-31
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.
Measurement calibration/tuning & topology processing in power system state estimation
Zhong, Shan
2005-02-17
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...
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
Team Description for Lucky Lubeck { Evidence-Based World State Estimation
Rolling Brains 1999 agent code. In Lucky L ubeck, a new method, Evidence- based World state EstimationTeam Description for Lucky Lubeck { Evidence-Based World State Estimation Daniel Polani and Thomas, has been introduced, by which player and ball position can be estimated about an order of magnitude
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
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
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.
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
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
False Data Injection Attacks against State Estimation in Electric Power Grids
Qiu, Robert Caiming
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 to ensure the reliable operation of power grids, and state estimation is used in system monitoring to best
VEHICLE STATE ESTIMATION USING VISION AND INERTIAL MEASUREMENTS
Brennan, Sean
Department of Mechanical and Nuclear Engineering, Pennsylvania State University, University Park, PA Abstract missile and submarine guid- ance systems (Golden [1980],Denism and Roberts [1989],Hostetler and Andreas
STABILIZATION OF GAS LIFTED WELLS BASED ON STATE ESTIMATION
Foss, Bjarne A.
oil and gas from wells with low reservoir pressure by reducing the hydrostatic pressure in the tubing.imsland bjarne.foss}@itk.ntnu.no Abstract: This paper treats stabilization of multiphase flow in a gas lifted oil well. Two different controllers are investigated, PI control using the estimated downhole pressure
Load Modeling and State Estimation Methods for Power Distribution Systems: Final Report
Tom McDermott
2010-05-07
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.
QUANTITATIVE ESTIMATES ON THE HYDROGEN GROUND STATE ENERGY IN NON-RELATIVISTIC QED
QUANTITATIVE ESTIMATES ON THE HYDROGEN GROUND STATE ENERGY IN NON-RELATIVISTIC QED J.-M. BARBAROUX for the hydrogen ground state energy in the Pauli-Fierz model up to the order O(5 log -1), where denotes). As a consequence, we prove that the ground state energy is not a real analytic function of , and verify
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
Ensemble Kalman filter based state estimation in 2D shallow water equations using Lagrangian method for two- dimensional shallow water equations in rivers using Lagrangian drifter positions of the state of the river. This information is incorporated into shallow water equations by using 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 ...
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
Yoon, Yeo Jun
2006-04-12
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...
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.
2014-05-01
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.
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
Asymptotic Efficiency and Finite Sample Performance of Frequentist Quantum State Estimation
Raj Chakrabarti; Anisha Ghosh
2011-11-15
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.
False Data Injection Attacks against State Estimation in Electric Power Grids
Reiter, Michael
@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
False Data Injection Attacks against State Estimation in Electric Power Grids
Young, R. Michael
@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
Aalborg Universitet Joint Parametric Fault Diagnosis and State Estimation Using KF-ML Method
Yang, Zhenyu
-ML Method Zhen Sun Zhenyu Yang Department of Energy Technology, Aalborg University, 6700 Esbjerg, DenmarkAalborg Universitet Joint Parametric Fault Diagnosis and State Estimation Using KF-ML Method Sun University Citation for published version (APA): Sun, Z., & Yang, Z. (2014). Joint Parametric Fault Diagnosis
Hutchinson, Seth
Spong Coordinated Science Lab Elect. and Comp. Eng. Coordinated Science Lab University of Illinois University of Illinois University of Illinois Urbana, IL 61801 Urbana, IL 61801 Urbana, IL 61801 Abstract between the image formation process and state estimation. To this end, in this paper we present a detailed
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
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
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
STATE ESTIMATION OF SOFC/GT HYBRID SYSTEM USING UKF Rambabu Kandepu*, 1
Foss, Bjarne A.
STATE ESTIMATION OF SOFC/GT HYBRID SYSTEM USING UKF Rambabu Kandepu*, 1 , Biao Huang** , Bjarne.Imsland@sintef.no Abstract: A description of a Solid Oxide Fuel Cell (SOFC) combined Gas Turbine (GT) hybrid system is given reliability. One of the most promising fuel cell technologies is the Solid Oxide Fuel Cell (SOFC), due to its
Cell Equalization In Battery Stacks Through State Of Charge Estimation Polling
Stefanopoulou, Anna
Cell 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 battery, therefore it is possible that differences between cells (i.e. chemical characteristics, operating
Nehorai, Arye
, Kalman filtering, phase mismatch, phasor measurement unit (PMU), state estimation, synchronization. NOMENCLATURE: PMU Phasor measurement unit. SCADA Supervisory control and data acquisition. GPS Global
Direct estimations of linear and non-linear functionals of a quantum state
Artur K. Ekert; Carolina Moura Alves; Daniel K. L. Oi; Michal Horodecki; Pawel Horodecki; L. C. Kwek
2002-03-04
We present a simple quantum network, based on the controlled-SWAP gate, that can extract certain properties of quantum states without recourse to quantum tomography. It can be used used as a basic building block for direct quantum estimations of both linear and non-linear functionals of any density operator. The network has many potential applications ranging from purity tests and eigenvalue estimations to direct characterization of some properties of quantum channels. Experimental realizations of the proposed network are within the reach of quantum technology that is currently being developed.
Zhou, Ning; Huang, Zhenyu; Meng, Da; Elbert, Stephen T.; Wang, Shaobu; Diao, Ruisheng
2014-03-31
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.
Estimation of the Dynamic States of Synchronous Machines Using an Extended Particle Filter
Zhou, Ning; Meng, Da; Lu, Shuai
2013-11-11
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.
Zhe An; Daniel Rey; Henry D. I. Abarbanel
2014-05-11
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.
Baldick, Ross
IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 16, NO. 2, MAY 2001 273 State Estimator Condition Number empirical results using the IEEE RTS-96 and IEEE 118 bus systems that validate the formulas. I. INTRODUCTION approximations with actual condition numbers for two IEEE test cases, using a state estimation software developed
Noise modeling concepts in nonlinear state estimation S. Kols a,b,*, B.A. Foss a
Foss, Bjarne A.
Noise modeling concepts in nonlinear state estimation S. Kolås a,b,*, B.A. Foss a , T.S. Schei c Keywords: Nonlinear state estimation Constrained nonlinear systems Noise modeling Joint UKF a b s t r a c study noise modeling based on a hypothesis that it is important to model noise correctly. In practice
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
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.
2004-01-01
on a Residential Area, Along the Rio Grande, Hidalgo County, 2004 ...................................................60 Estimated Benefits of IBWC Rio Grande September, 2004 Flood-Control Projects in the United States page viii of 61 List of Tables... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 B1 Hidalgo County Land Use Categories for Revised FEMA 100-Year Flood Plain Area, 2004 ............................................................47 B2 Cameron County Land Use Categories for Revised FEMA 100-Year Flood Plain Area, 2004...
Using graph theory to resolve state estimator issues faced by deregulated power systems
Lei, Jiansheng
2009-05-15
.....................................................................15 C. Network observability under a single measurement loss ........................16 D. Network observability under a branch outage.........................................17 E. Network observability under a contingency... challenges as follows. A. Challenge 1: Keep the state estimator running reliably even under a contingency Here the contingency refers to a disturbance such as a branch outage. A loss of measurement is also considered as a contingency in this dissertation...
Teixeira, André; Sandberg, Henrik; Johansson, Karl H
2010-01-01
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
Marius Buibas; Gabriel A. Silva
2010-06-22
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.
Venkatasubramanian, Mani V.
Abstract-- Estimating the dynamic state variables of a synchronous generator has been a long approximately the state variables of a synchronous generator, purely from terminal measurements measurements. Here, we deal with the problem of computing the dynamic internal state of a synchronous generator
Esposito, A.; Porro, C.; Augustine, C.; Roberts, B.
2012-09-01
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.
Chen, Ru
The assumption that local baroclinic instability dominates eddy–mean flow interactions is tested on a global scale using a dynamically consistent eddy-permitting state estimate. Interactions are divided into local and ...
Stefanopoulou, Anna
Experimental Validation of a Lithium-Ion Battery State of Charge Estimation with an Extended Kalman-- In this paper an averaged electrochemical lithium- ion battery model, presented and discussed in [2] and [3 estimation. I. INTRODUCTION Lithium-ion batteries play an important role in the area of hybrid vehicle design
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
Mi, Chunting "Chris"
A robust state-of-charge estimator for multiple types of lithium-ion batteries using adaptive 48128, USA h i g h l i g h t s Proposed a dynamic universal battery model based on second-order RC a SOC estimator for suitable for multiple lithium ion battery chemistries. Proved the system robustness
Steady state estimation of soil organic carbon using satellite-derived canopy leaf area index
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Fang, Yilin; Liu, Chongxuan; Huang, Maoyi; Li, Hongyi; Leung, Lai-Yung R.
2014-12-02
Soil organic carbon (SOC) plays a key role in the global carbon cycle that is important for decadal-to-century climate prediction. Estimation of soil organic carbon stock using model-based methods typically requires spin-up (time marching transient simulation) of the carbon-nitrogen (CN) models by performing hundreds to thousands years long simulations until the carbon-nitrogen pools reach dynamic steady-state. This has become a bottleneck for global modeling and analysis, especially when testing new physical and/or chemical mechanisms and evaluating parameter sensitivity. Here we report a new numerical approach to estimate global soil carbon stock that can avoid the long term spin-up of themore »CN model. The approach uses canopy leaf area index (LAI) from satellite data and takes advantage of a reaction-based biogeochemical module NGBGC (Next Generation BioGeoChemical Module) that was recently developed and incorporated in version 4 of the Community Land Model (CLM4). Although NGBGC uses the same CN mechanisms as used in CLM4CN, it can be easily configured to run prognostic or steady state simulations. In this approach, monthly LAI from the multi-year Moderate Resolution Imaging Spectroradiometer (MODIS) data was used to calculate potential annual average gross primary production (GPP) and leaf carbon for the period of the atmospheric forcing. The calculated potential annual average GPP and leaf C are then used by NGBGC to calculate the steady-state distributions of carbon and nitrogen in different vegetation and soil pools by solving the steady-state reaction-network in NGBGC using the Newton-Raphson method. The new approach was applied at point and global scales and compared with SOC derived from long spin-up by running NGBGC in prognostic mode, and SOC from the empirical data of the Harmonized World Soil Database (HWSD). The steady-state solution is comparable to the spin-up value when the MODIS LAI is close to the LAI from the spin-up solution, and largely captured the variability of the HWSD SOC across the different dominant plant functional types (PFTs) at global scale. The numerical correlation between the calculated and HWSD SOC was, however, weak at both point and global scales, suggesting that the models used in describing biogeochemical processes in CLM needs improvements and/or HWSD needs updating as suggested by other studies. Besides SOC, the steady state solution also includes all other state variables simulated by a spin-up run, such as NPP, GPP, total vegetation C etc., which makes the developed approach a promising tool to efficiently estimate global SOC distribution and evaluate and compare different aspects simulated by different CN mechanisms in the model.« less
Wu, M.; Peng, J.
2011-02-24
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.
Prasad, Rajiv; Hibler, Lyle F.; Coleman, Andre M.; Ward, Duane L.
2011-11-01
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.
A Two-Stage Kalman Filter Approach for Robust and Real-Time Power System State Estimation
Zhang, Jinghe; Welch, Greg; Bishop, Gary; Huang, Zhenyu
2014-04-01
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.
Estimated Value of Service Reliability for Electric Utility Customers in the United States
Sullivan, M.J.
2009-01-01
applied to indicators like SAIDI and SAIFI for purposes ofperformance (e.g. , SAIFI and SAIDI); estimate partialperformance (e.g. , SAIFI and SAIDI); estimate partial
Woli, Prem; Paz, Joel O.
2011-12-23
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.
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 ...
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
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
2006-01-01
-based models developed using ADVISOR [13] and makes them suit- able for real-time embedded system applications of the system and provides a realistic estimate of the state of charge of the cell as a function of time, for a given set of properties of the electrodes. An electrochemical cell model is used to obtain an extended
Estimated Value of Service Reliability for Electric Utility Customers in the United States
Sullivan, M.J.
2009-01-01
Ordinary Least Squares SAIDI – System Average Interruptionapplied to indicators like SAIDI and SAIFI for purposes ofe.g. , SAIFI and SAIDI); estimate partial interruption cost;
Estimate of Maximum Underground Working Gas Storage Capacity in the United States: 2007 Update
Reports and Publications (EIA)
2007-01-01
This report provides an update to an estimate for U.S. aggregate natural gas storage capacity that was released in 2006.
False Data Injection Attacks against State Estimation in Electric Power Grids
Ning, Peng
the measurements of meters at physically protected locations such as substations, such attacks can introduce of about 50 million people. The estimated total cost
A SURVEY OF STATE-LEVEL COST ESTIMATES OF RENEWABLES PORTFOLIO STANDARDS
Barbose, Galen
2014-01-01
LEVEL COST ESTIMATES OF RENEWABLES PORTFOLIO STANDARDS Galenthe incremental cost of renewables portfolio standards (RPS)Washington DC have adopted renewables portfolio standards (
Embedded avionics with Kalman state estimation for a novel micro-scale unmanned aerial vehicle
Tzanetos, Theodore
2013-01-01
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 ...
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.
Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water Electrolysis
None
2010-09-30
This independent review examines DOE cost targets for state-of-the art hydrogen production using water electrolysis.
Not Available
2009-09-01
This independent review examines DOE cost targets for state-of-the art hydrogen production using water electrolysis.
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
Vermont, University of
Analysis A summary of ISEW and GPI studies at multiple scales and new estimates for Baltimore City, Baltimore County, and the State of Maryland Stephen M. Posner a, , Robert Costanza b a Gund Institute) estimates the GPI for Baltimore, Baltimore County, and the State of Maryland; and (3) compares these results
Johansson, Karl Henrik
Cyber Security Analysis of State Estimators in Electric Power Systems Andr´e Teixeira, Saurabh Amin, Henrik Sandberg, Karl H. Johansson, and Shankar S. Sastry Abstract-- In this paper, we analyze the cyber security of state estimators in Supervisory Control and Data Acquisition (SCADA) systems operating in power
Estimated Value of Service Reliability for Electric Utility Customers in the United States
Sullivan, M.J.; Mercurio, Matthew; Schellenberg, Josh
2009-06-01
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.
Wu, Jianyong; Zhou, Ying; Gao, Yang; Fu, Joshua S.; Johnson, Brent; Huang, Cheng; Kim, Young-Min; Liu, Yang
2014-01-01
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.
Battery State Estimation for a Single Particle Model with Electrolyte Dynamics
Moura, Scott J; Bribiesca Argomedo, Federico; Klein, Reinhardt; Mirtabatabaei, Anahita; Krstic, Miroslav
2015-01-01
and G. Fiengo, “Lithium-Ion Battery State of Charge andestimation of the lithium-ion battery using an adaptiveelectrochemical model for lithium ion battery on electric
Battery State Estimation for a Single Particle Model with Electrolyte Dynamics
Moura, Scott J; Bribiesca Argomedo, Federico; Klein, Reinhardt; Mirtabatabaei, Anahita; Krstic, Miroslav
2015-01-01
Algorithms for advanced battery-management systems,” IEEEG. Fiengo, “Lithium-Ion Battery State of Charge and CriticalExtended Kalman filtering for battery management systems of
On the optimal thresholds in remote state estimation with communication costs
Mahajan, Aditya
communication cost and estimation accuracy. This model is motivated by applications in smart grids and environmental monitoring. In smart grids, it is envisioned that smart meters will measure the energy consumption. INTRODUCTION A. Motivation In this paper, we consider a model that captures a funda- mental trade-off between
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
Estimate of Maximum Underground Working Gas Storage Capacity in the United States
Reports and Publications (EIA)
2006-01-01
This report examines the aggregate maximum capacity for U.S. natural gas storage. Although the concept of maximum capacity seems quite straightforward, there are numerous issues that preclude the determination of a definitive maximum volume. The report presents three alternative estimates for maximum capacity, indicating appropriate caveats for each.
Quantitative estimates on the Hydrogen ground state energy in non-relativistic QED
Barbaroux, Jean-Marie; Vugalter, Semjon; Vougalter, Vitali
2009-01-01
We determine the exact expression for the hydrogen ground state energy in the Pauli-Fierz model up to the order $O(\\alpha^5\\log\\alpha^{-1})$, where $\\alpha$ denotes the finestructure constant, and prove rigorous bounds on the remainder term of the order $o(\\alpha^5\\log\\alpha^{-1})$. As a consequence, we prove that the ground state energy is not a real analytic function of $\\alpha$, and verify the existence of logarithmic corrections to the expansion of the ground state energy in powers of $\\alpha$, as conjectured in the recent literature.
Estimation of the urban household demand for water in the United States
Foster, Henry Sessam
1977-01-01
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...
Real-time State Estimation on Micro-grids Ying Hu, Anthony Kuh, Aleksandar Kavcic
Kavcic, Aleksandar
variables. The factor functions are defined for both the circuit elements and the renewable energy. In addition, the proposed graphical model can integrate new models for solar/wind cor- relation that will help with the integration study of renewable energy. Our state-of-art approach provides a robust foundation for the smart
Comparative study of State Estimation of Fuel Cell Hybrid System Using UKF and EKF
Foss, Bjarne A.
Cell (SOFC) combined with Gas Turbine (GT) hybrid system is described and system level modeling of the most promising fuel cell technologies is the Solid Oxide Fuel Cell (SOFC) due to its solid state design and internal reforming of gaseous fuels, in addition to its high efficiency. The SOFC converts the chemical
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
Quantitative estimates on the Hydrogen ground state energy in non-relativistic QED
Jean-Marie Barbaroux; Thomas Chen; Semjon Vugalter; Vitali Vougalter
2010-06-04
In this paper, we determine the exact expression for the hydrogen binding energy in the Pauli-Fierz model up to the order $O(\\alpha^5\\log\\alpha^{-1})$, where $\\alpha$ denotes the finestructure constant, and prove rigorous bounds on the remainder term of the order $o(\\alpha^5\\log\\alpha^{-1})$. As a consequence, we prove that the binding energy is not a real analytic function of $\\alpha$, and verify the existence of logarithmic corrections to the expansion of the ground state energy in powers of $\\alpha$, as conjectured in the recent literature.
Estimated winter 1980-1981 electric demand and supply, contiguous United States. Staff report
None
1980-12-01
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.
Sanchez, Marla Christine; Sanchez, Marla Christine; Brown, Richard; Homan, Gregory; Webber, Carrie
2008-06-03
ENERGY STAR is a voluntary energy efficiency-labeling program operated jointly by the United States Department of Energy and the United States Environmental Protection Agency (US EPA). Since the program inception in 1992, ENERGY STAR has become a leading international brand for energy efficient products. ENERGY STAR's central role in the development of regional, national, and international energy programs necessitates an open process whereby its program achievements to date as well as projected future savings are shared with committed stakeholders. Through 2006, US EPA?S ENERGY STAR labeled products saved 4.8 EJ of primary energy and avoided 82 Tg C equivalent. We project that US EPA?S ENERGY STAR labeled products will save 12.8 EJ and avoid 203 Tg C equivalent over the period 2007-2015. A sensitivity analysis examining two key inputs (carbon factor and ENERGY STAR unit sales) bounds the best estimate of carbon avoided between 54 Tg C and 107 Tg C (1993 to 2006) and between 132 Tg C and 278 Tg C (2007 to 2015).
State Energy Production Estimates
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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988 1.996Deutsche Bank AG Oil10:Price andEnergy
Distribution System State Estimation
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalentLaboratory |Sector Full report (1.6 mb) Appendix2863[pic] Load
Stefanopoulou, Anna
PSM: Lithium-Ion Battery State of Charge (SOC) and Critical Surface Charge (CSC) Estimation using. INTRODUCTION Lithium-ion battery is the core of new plug-in hybrid- electrical vehicles (PHEV) as well transient loads [22]. The importance of lithium-ion battery has grown in the past years. Based
.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
Shantia Yarahmadian; Vineetha Menon; Majid Mahrooghy; Vahid A. Rezania
2015-10-25
Recent studies has revealed that Microtubules (MTs) exhibit three transition states of growth, shrinkage and pause. In this paper, we first introduce a three states random evolution model as a framework for studying MTs dynamics in three transition states of growth, pause and shrinkage. Then, we introduce a non-traditional stack run encoding scheme with 5 symbols for detecting transition states as well as to encode MT experimental data. The peak detection is carried out in the wavelet domain to effectively detect these three transition states. One of the added advantages of including peak information while encoding being that it enables to detect the peaks efficiently and encodes them simultaneously in the wavelet domain without having the need to do further processing after the decoding stage. Experimental results show that using this form of non-traditional stack run encoding has better compression and reconstruction performance as opposed to traditional stack run encoding and run length encoding schemes. Parameters for MTs modeled in the three states are estimated and is shown to closely approximate original MT data for lower compression rates. As the compression rate increases, we may end up throwing away details that are required to detect transition states of MTs. Thus, choosing the right compression rate is a trade-off between admissible level of error in signal reconstruction, its parameter estimation and considerable rate of compression of MT data.
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
Trattner, Sigal; Cheng, Bin; Pieniazek, Radoslaw L.; Hoffmann, Udo; Douglas, Pamela S.; Einstein, Andrew J.
2014-04-15
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.
Johansson, Karl Henrik
estimators in power networks. The focus is on applications in SCADA (Supervisory Control and Data Acquisition of such large-scale systems, SCADA (Supervisory Control and Data Acquisition) systems are used to transmit mea at all times. The technology and the use of the SCADA systems have evolved quite a lot since the 1970s
be heated in a pressure vessel or oil bath, and some temperature-measuring device (e.g., a thermocouple, there is no standard method to estimate kinetic parameters in low-moisture, conduction-heated foods subject and maintain pressure. As temperatures and pressure increase, measuring sample temperature may become
Kim, Young-Min; Zhou, Ying; Gao, Yang; Fu, Joshua S.; Johnson, Brent; Huang, Cheng; Liu, Yang
2015-01-01
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.
Ponte, R. M.
This paper presents the ECCO v4 non-linear inverse modeling framework and its baseline solution for the evolving ocean state over the period 1992–2011. Both components are publicly available and subjected to regular, ...
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.
2009-03-06
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.
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.
2008-10-01
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.
Nexant Inc.
2006-05-01
This deliverable is for Task 9, Mixed Alcohols from Syngas: State of Technology, as part of National Renewable Energy Laboratory (NREL) Award ACO-5-44027, ''Equipment Design and Cost Estimation for Small Modular Biomass Systems, Synthesis Gas Cleanup and Oxygen Separation Equipment''. Task 9 supplements the work previously done by NREL in the mixed alcohols section of the 2003 technical report Preliminary Screening--Technical and Economic Assessment of Synthesis Gas to Fuels and Chemicals with Emphasis on the Potential for Biomass-Derived Syngas.
Distributed Estimation Distributed Estimation
Gupta, Vijay
with a Star Topology 2 2.1 Static Sensor Fusion . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.1.1 Combining Estimators . . . . . . . . . . . . . . . . . . . . 3 2.1.2 Static Sensor Fusion for Star Topology;Distributed Estimation 3 Non-Ideal Networks with Star Topology 10 3.1 Sensor Fusion in Presence of Message
Drewniak, B. A.; Kotamarthi, V. R.; Streets, D.; Kim, M.; Crist, K.; Ohio Univ.
2008-11-01
The sensitivity of Hg concentration and deposition in the United States to emissions in China was investigated by using a global chemical transport model: Model for Ozone and Related Chemical Tracers (MOZART). Two forms of gaseous Hg were included in the model: elemental Hg (HG(0)) and oxidized or reactive Hg (HGO). We simulated three different emission scenarios to evaluate the model's sensitivity. One scenario included no emissions from China, while the others were based on different estimates of Hg emissions in China. The results indicated, in general, that when Hg emissions were included, HG(0) concentrations increased both locally and globally. Increases in Hg concentrations in the United States were greatest during spring and summer, by as much as 7%. Ratios of calculated concentrations of Hg and CO near the source region in eastern Asia agreed well with ratios based on measurements. Increases similar to those observed for HG(0) were also calculated for deposition of HGO. Calculated increases in wet and dry deposition in the United States were 5-7% and 5-9%, respectively. The results indicate that long-range transcontinental transport of Hg has a non-negligible impact on Hg deposition levels in the United States.
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28
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.
A. N. Ivanov; M. Faber; V. A. Ivanova; J. Marton; N. I. Troitskaya
2005-12-19
Using the experimental data on the energy level shift of kaonic hydrogen in the ground state (the DEAR Collaboration, Phys. Rev. Lett. 94, 212302 (2005)) and the theoretical value of the energy level shift, calculated within the phenomenological quantum field theoretic approach to the description of strong low-energy anti-K N and anti-K NN interactions developed at Stefan Meyer Institut fuer subatomare Physik in Vienna, we estimate the value of the sigma^(I = 1)_(KN)(0)-term of low-energy anti-K N scattering. We get sigma^(I = 1)_(KN)(0) = (433 +/- 85) MeV. This testifies the absence of strange quarks in the proton structure.
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
Ozkale, Aslihan
2007-04-25
Predicting correct pore-pressure is important for drilling applications. Wellbore stability problems, kicks, or even blow-outs can be avoided with a good estimate of porepressure. Conventional pore-pressure estimation methods are based on one...
Mohan, S; Kim, Y; Siegel, JB; Samad, NA; Stefanopoulou, AG
2014-09-19
A phenomenological model of the bulk force exerted by a lithium ion cell during various charge, discharge, and temperature operating conditions is developed. The measured and modeled force resembles the carbon expansion behavior associated with the phase changes during intercalation, as there are ranges of state of charge (SOC) with a gradual force increase and ranges of SOC with very small change in force. The model includes the influence of temperature on the observed force capturing the underlying thermal expansion phenomena. Moreover the model is capable of describing the changes in force during thermal transients, when internal battery heating due to high C-rates or rapid changes in the ambient temperature, which create a mismatch in the temperature of the cell and the holding fixture. It is finally shown that the bulk force model can be very useful for a more accurate and robust SOC estimation based on fusing information from voltage and force (or pressure) measurements. (C) The Author(s) 2014. Published by ECS. This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives 4.0 License (CC BY-NC-ND, http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is not changed in any way and is properly cited. For permission for commercial reuse, please email oa@electrochem.org. All rights reserved.
United States Department of Agriculture Forest Service Intermountain Research Station General acrossthe United States provide estimates of the amount of erosion reductionon forest roadsfrom
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
A&A 526, A70 (2011) DOI: 10.1051/0004-6361/201015453
Seehafer, Norbert
2011-01-01
Katlenburg-Lindau, Germany e-mail: wiegelmann@mps.mpg.de Received 22 July 2010 / Accepted 12 October 2010 calculations can be improved by preprocessing the photospheric magnetograms. The intention here is to remove calculated from the preprocessed magnetograms fulfill the solenoidal condition better than those calculated
, a non-collocated power measurement can be corrected through calculation rather than a costly is a widely used tool in power system energy management systems. The essence of state esti- mation market it is increasingly important to find cost effective ways to improve system visibility and account
Origin State Destination State STB EIA STB EIA Alabama
Gasoline and Diesel Fuel Update (EIA)
20. Estimated rail transportation rates for coal, state to state, 2009 Percent transportation cost is of total delivered cost EIA Percent difference EIA vs. STB Shipments...
Origin State Destination State STB EIA STB EIA Alabama
Gasoline and Diesel Fuel Update (EIA)
19. Estimated rail transportation rates for coal, state to state, 2008 Percent transportation cost is of total delivered cost EIA Percent difference EIA vs. STB Shipments...
Dionne, B.; Tzanos, C. P.
2011-05-23
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.
How EIA Estimates Natural Gas Production
Reports and Publications (EIA)
2004-01-01
The Energy Information Administration (EIA) publishes estimates monthly and annually of the production of natural gas in the United States. The estimates are based on data EIA collects from gas producing states and data collected by the U. S. Minerals Management Service (MMS) in the Department of Interior. The states and MMS collect this information from producers of natural gas for various reasons, most often for revenue purposes. Because the information is not sufficiently complete or timely for inclusion in EIA's Natural Gas Monthly (NGM), EIA has developed estimation methodologies to generate monthly production estimates that are described in this document.
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
Crichton, John Alston
1953-01-01
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...
Demagnetization using a determined estimated magnetic state
Denis, Ronald J; Makowski, Nathanael J
2015-01-13
A method for demagnetizing comprising positioning a core within the electromagnetic field generated by a first winding until the generated first electrical current is not substantially increasing, thereby determining a saturation current. A second voltage, having the opposite polarity, is then applied across the first winding until the generated second electrical current is approximately equal to the magnitude of the determined saturation current. The maximum magnetic flux within the core is then determined using the voltage across said first winding and the second current. A third voltage, having the opposite polarity, is then applied across the first winding until the core has a magnetic flux equal to approximately half of the determined maximum magnetic flux within the core.
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
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
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
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28
This chapter focuses on the components (or elements) of the cost estimation package and their documentation.
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
Check Estimates and Independent Costs
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28
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.
Modeling, Estimation, and Control of Waste Heat Recovery Systems
Luong, David
2013-01-01
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
2013-01-01
model in southern states of Kerala and Tamil Nadu for non-JHARKHAND (19) KARNATAKA (26) KERALA (28) MADHYA PRADESH (
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
2009-01-01
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.
Origin State Destination State
Gasoline and Diesel Fuel Update (EIA)
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 W W W W W...
Discrimination between pure states and mixed states
Chi Zhang; Guoming Wang; Mingsheng Ying
2007-02-09
In this paper, we discuss the problem of determining whether a quantum system is in a pure state, or in a mixed state. We apply two strategies to settle this problem: the unambiguous discrimination and the maximum confidence discrimination. We also proved that the optimal versions of both strategies are equivalent. The efficiency of the discrimination is also analyzed. This scheme also provides a method to estimate purity of quantum states, and Schmidt numbers of composed systems.
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28
The chapter describes the estimates required on government-managed projects for both general construction and environmental management.
Multi-rate Estimation of Coloured Noise Models in Graph-Based Estimation Algorithms
Nelson, James
Multi-rate Estimation of Coloured Noise Models in Graph-Based Estimation Algorithms Simon J. Julier. In this paper, we consider how coloured noise models can be efficiently incorporated within graph position, three velocity, three orientation). The GPS noise model introduces an extra six states (second
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
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
Estimates of US biomass energy consumption 1992
Not Available
1994-05-06
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.
Stochastic Wireless Channel Modeling, Estimation and Identification from Measurements
Olama, Mohammed M [ORNL; Djouadi, Seddik M [ORNL; Li, Yanyan [ORNL
2008-07-01
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.
State energy price and expenditure report 1994
1997-06-01
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 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 1994. Consumption estimates used to calculate expenditures and the documentation for those estimates are taken from the State Energy Data Report 1994, Consumption Estimates (SEDR), published in October 1996. 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. Documentation is included describing the development of price estimates, data sources, and calculation methods. 316 tabs.
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28
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.
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
: Helmholtz machine estimation .
: Helmholtz machine density estimation . . : . . . (supervised learning) , (active learning) (query learning) [1, 3]. . (unsupervised learning), . , [5]. . Helmholtz machine , . Helmholtz machine : Helmholtz machine [2] . Helmholtz machine (generative network) (recognition network) . , , . Helmholtz machine (self
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
2011-05-09
This Guide provides uniform guidance and best practices that describe the methods and procedures that could be used in all programs and projects at DOE for preparing cost estimates. No cancellations.
Estimation of food consumption
Callaway, J.M. Jr.
1992-04-01
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.
U.S. Energy Information Administration | State Energy Data 2013...
Gasoline and Diesel Fuel Update (EIA)
7: Hydroelectric Power Consumption Estimates, 2013 State Hydroelectric Power Commercial Industrial Electric Power Total Commercial Industrial Electric Power Total Million...
Solid-State Lighting Technical Reports
None
2011-12-16
A page that contains links to technical reports of studies estimating the energy savings potential of solid-state lighting in numerous applications.
State energy price and expenditure report 1991
Not Available
1993-09-01
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.
Thermodynamic estimation: Ionic materials
Glasser, Leslie, E-mail: l.glasser@curtin.edu.au
2013-10-15
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.
Mesoscale predictability and background error convariance estimation through ensemble forecasting
Ham, Joy L
2002-01-01
Over the past decade, ensemble forecasting has emerged as a powerful tool for numerical weather prediction. Not only does it produce the best estimate of the state of the atmosphere, it also could quantify the uncertainties ...
State energy price and expenditure report, 1995
1998-08-01
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.
Quantum enhanced estimation of a multi-dimensional field
Tillmann Baumgratz; Animesh Datta
2015-07-10
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.
Battery Calendar Life Estimator Manual Modeling and Simulation
Jon P. Christophersen; Ira Bloom; Ed Thomas; Vince Battaglia
2012-10-01
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.
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
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
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
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
Unbiased Robust Template Estimation
Reuter, Martin
Unbiased Robust Template Estimation for Longitudinal Analysis in FreeSurfer Compared with cross-sectional may have a profound clinical impact. The current methods that utilize cross-sectional approaches, R. & Maguire, P. & Rosas, D. & Makris, N. & Dale, A. & Dickerson, B. & Fischl, B. (2006
Method and system to estimate variables in an integrated gasification combined cycle (IGCC) plant
Kumar, Aditya; Shi, Ruijie; Dokucu, Mustafa
2013-09-17
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.
State observer for synchronous motors
Lang, Jeffrey H. (Waltham, MA)
1994-03-22
A state observer driven by measurements of phase voltages and currents for estimating the angular orientation of a rotor of a synchronous motor such as a variable reluctance motor (VRM). Phase voltages and currents are detected and serve as inputs to a state observer. The state observer includes a mathematical model of the electromechanical operation of the synchronous motor. The characteristics of the state observer are selected so that the observer estimates converge to the actual rotor angular orientation and velocity, winding phase flux linkages or currents.
Use of Cost Estimating Relationships
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28
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.
Magnetic nanoparticle temperature estimation
Weaver, John B.; Rauwerdink, Adam M.; Hansen, Eric W.
2009-05-15
The authors present a method of measuring the temperature of magnetic nanoparticles that can be adapted to provide in vivo temperature maps. Many of the minimally invasive therapies that promise to reduce health care costs and improve patient outcomes heat tissue to very specific temperatures to be effective. Measurements are required because physiological cooling, primarily blood flow, makes the temperature difficult to predict a priori. The ratio of the fifth and third harmonics of the magnetization generated by magnetic nanoparticles in a sinusoidal field is used to generate a calibration curve and to subsequently estimate the temperature. The calibration curve is obtained by varying the amplitude of the sinusoidal field. The temperature can then be estimated from any subsequent measurement of the ratio. The accuracy was 0.3 deg. K between 20 and 50 deg. C using the current apparatus and half-second measurements. The method is independent of nanoparticle concentration and nanoparticle size distribution.
State energy price and expenditure report 1989
Not Available
1991-09-30
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.
Broader source: Energy.gov [DOE]
State policymakers and various stakeholders frequently have need to estimate the emissions impacts of particular renewable energy and energy efficiency policies. However, it can be challenging and...
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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan FebCubic Feet) YearYear JanFeet)0.9 0.9 1.07. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan FebCubic Feet) YearYear JanFeet)0.9 0.9 1.07. Estimated8.
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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan FebCubic Feet) YearYear JanFeet)0.9 0.9 1.07.4. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan FebCubic Feet) YearYear JanFeet)0.9 0.9 1.07.4.6.Estimated
Parameter Estimation Through Ignorance
Hailiang Du; Leonard A. Smith
2012-06-06
Dynamical modelling lies at the heart of our understanding of physical systems. Its role in science is deeper than mere operational forecasting, in that it allows us to evaluate the adequacy of the mathematical structure of our models. Despite the importance of model parameters, there is no general method of parameter estimation outside linear systems. A new relatively simple method of parameter estimation for nonlinear systems is presented, based on variations in the accuracy of probability forecasts. It is illustrated on the Logistic Map, the Henon Map and the 12-D Lorenz96 flow, and its ability to outperform linear least squares in these systems is explored at various noise levels and sampling rates. As expected, it is more effective when the forecast error distributions are non-Gaussian. The new method selects parameter values by minimizing a proper, local skill score for continuous probability forecasts as a function of the parameter values. This new approach is easier to implement in practice than alternative nonlinear methods based on the geometry of attractors or the ability of the model to shadow the observations. New direct measures of inadequacy in the model, the "Implied Ignorance" and the information deficit are introduced.
Hydrocarbon Reservoir Parameter Estimation Using
van Vliet, Lucas J.
Hydrocarbon Reservoir Parameter Estimation Using Production Data and Time-Lapse Seismic #12;#12;Hydrocarbon Reservoir Parameter Estimation Using Production Data and Time-Lapse Seismic PROEFSCHRIFT ter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Recovery process . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.3 Field
Cost Estimating, Analysis, and Standardization
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1984-11-02
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
State energy price and expenditure report 1992
Not Available
1994-12-01
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.
IEEE SIGNAL PROCESSING LETTERS, VOL. 20, NO. 6, JUNE 2013 575 Joint Frequency and Phasor Estimation
Tong, Lang
, constrained maximum likelihood estimation, frequency estimation, phasor measurement unit (PMU), power system in the context of power system state estimation using phasor measurement units (PMUs). A key feature of PMU meters period. PMU provides syn- chronized direct measurements of bus voltages and currents. Under normal
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
Bayesian Linear State Estimation using Smart Meters and PMUs Measurements
Schenato, Luca
Arghandeh, CIEE Calif. Inst. for Ener. and Envir. #12;Can we bring PMU to distribution grids ? ! Develop a ultra-high-resolution micro- PMU for measuring voltage angles ! develop a wireless network optimized unbalanced #12;Can we measure voltage phasors? Phasor Measurement Unit (PMU) · GPS timestamps · Measure
Phasor Measurement Unit Data in Power System State Estimation
weighted least squares with significant weight on the PMU measurements; and 2) eliminating the equations associated with the voltage phase angle measurements made by the PMU. The PMU measurements would be done by supervisory control and data acquisition (SCADA) devices. The incorporation of PMU measurements
OPTIMAL PLACEMENT AND UTILIZATION OF PHASOR MEASUREMENTS FOR STATE ESTIMATION
presents a procedure by which new PMU locations can be systematically determined in order to render measurement unit (PMU). Buses with zero and non- zero injections, and branches with power flow measure- ments- tor based on strictly PMU measurements and investigates the computational performance as well
A Nonstochastic Information Theory for Communication and State Estimation
Nair, Girish N
2011-01-01
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...
Linear and Nonlinear State Estimation in the Czochralski Process
Gravdahl, Jan Tommy
Morten Hovd Jan Tommy Gravdahl Dept. of Engineering Cybernetics, Norwegian Univ. of Science and Technology (NTNU), NO-7491 Trondheim, Norway. (e-mail: parsa.rahmanpour@itk.ntnu.no). SINTEF, Materials and Chemistry, Trondheim, Norway Dept. of Engineering Cybernetics, (NTNU) Abstract: The Czochralski process
Monte Carlo approaches to hidden Markov model state estimation
Sollberger, Derek
2011-01-01
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
Real-time state estimation of laboratory flows
Stransky, Scott (Scott M.)
2007-01-01
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 ...
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
Constrained model predictive control, state estimation and coordination
Yan, Jun
2006-01-01
of a formation of unmanned aerial vehicles’, Automatica 40,Kumar 2001), unmanned aerial vehicles ( Stipanovi´ ,Kumar 2001), unmanned aerial vehicles (Stipanovi´ , Inalhan,
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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsicloudden Documentation Data Management Facility009 ARM Orientation 1
State Energy Profiles and Estimates (SEDS) report Archives
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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices Global Crude Oil Prices Brent crude
Heuristic for estimation of multiqubit genuine multipartite entanglement
Paulo E. M. F. Mendonca; Marcelo A. Marchiolli; Gerard J. Milburn
2015-01-28
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.
The time to reach pseudosteady-state in horizontal wells
Al-Kahtani, Abdulghafour
1998-01-01
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...
A multivariate phase distribution and its estimation
Charles F. Cadieu; Kilian Koepsell
2009-06-21
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.
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.
2012-12-01
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).
Learned, Edmund Philip
1925-03-15
of one cent per gallon on gasoline and naptha would yield at the present estimated production, $10,000,000.,>1 At that time the United States Government was having heavy expenses to meet. The European war had begun and there was a great deal... Report 767, 65th Congress, 2nd Session. 4. Laws of Oregon, 1919, Chapter 159. 5. Engineering News-Record, 91:967. (December 13, 1923.) 287] Learned: State Gasoline Taxes 9 registered 7,580,105 automobiles and motor trucks. At pres ent, there are over...
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
Robust and intelligent bearing estimation
Claassen, John P. (Albuquerque, NM)
2000-01-01
A method of bearing estimation comprising quadrature digital filtering of event observations, constructing a plurality of observation matrices each centered on a time-frequency interval, determining for each observation matrix a parameter such as degree of polarization, linearity of particle motion, degree of dyadicy, or signal-to-noise ratio, choosing observation matrices most likely to produce a set of best available bearing estimates, and estimating a bearing for each observation matrix of the chosen set.
Different approaches to estimating transition costs in the electric- utility industry
Baxter, L.W.
1995-10-01
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.
Murcia, Universidad de
2011-01-01
Cuenca del R´io Segura (Espa~na) La Cuenca del R´io Segura (SE Espa~na), a pesar de representar una de
Examples of Cost Estimation Packages
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28
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.
Quantifying the Level of Cross-State Renewable Energy Transactions...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
methods for data collection are Renewable Energy Certificate (REC) tracking and power flow estimates. Data from regional REC tracking systems, state agencies, and utility...
U.S. Energy Information Administration | State Energy Data 2013...
Gasoline and Diesel Fuel Update (EIA)
3: Nuclear Energy Consumption, Price, and Expenditure Estimates, 2013 State Nuclear Electric Power Nuclear Fuel Consumption Prices Expenditures Million Kilowatthours Trillion Btu...
U.S. Energy Information Administration | State Energy Data 2013...
Gasoline and Diesel Fuel Update (EIA)
4: Wood and Biomass Waste Consumption Estimates, 2013 State Wood Wood and Biomass Waste a Residential Commercial Industrial Electric Power Total b Thousand Cords Trillion Btu...
U.S. Energy Information Administration | State Energy Data 2013...
Gasoline and Diesel Fuel Update (EIA)
6: Geothermal Energy Consumption Estimates, 2013 State Geothermal Energy Electric Power Residential Commercial Industrial Electric Power Total Million Kilowatthours Trillion Btu...
U.S. Energy Information Administration | State Energy Data 2013...
Gasoline and Diesel Fuel Update (EIA)
9: Wind Energy Consumption Estimates, 2013 State Commercial Industrial Electric Power Total Commercial Industrial Electric Power Total Million Kilowatthours Trillion Btu Alabama 0...
Magnetostrophic balance as the optimal state for turbulent magnetoconvection
King, EM; Aurnou, JM
2015-01-01
that the magnetostrophic balance is no longer attained (Magnetostrophic balance as the optimal state for turbulentLorentz and Coriolis forces balance. One can estimate the
Vortex-Based Aero- and Hydrodynamic Estimation
Hemati, Maziar Sam
2013-01-01
Vortex-Based Aero- and Hydrodynamic Estimation . . . . . .2 Aero- andbenefit from vortex-based aero- and hydrodynamic estimation.
Numerical estimation of the relative entropy of entanglement
Zinchenko, Yuriy; Friedland, Shmuel; Gour, Gilad
2010-11-15
We propose a practical algorithm for the calculation of the relative entropy of entanglement (REE), defined as the minimum relative entropy between a state and the set of states with positive partial transpose. Our algorithm is based on a practical semidefinite cutting plane approach. In low dimensions the implementation of the algorithm in matlab provides an estimation for the REE with an absolute error smaller than 10{sup -3}.
State Energy Overview. [Contains glossary
Not Available
1983-10-01
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
1994-02-02
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.
State energy price and expenditure report 1993
1995-12-01
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 five economic sectors used in SEPER correspond to those used in SEDR and are residential, commercial, industrial, transportation, and electric utility. Documentation in appendices describe how the price estimates are developed, provide conversion factors for measures used in the energy analysis, and include a glossary. 65 tabs.
Measurement Noise versus Process Noise in Ionosphere Estimation for WAAS
Stanford University
Measurement Noise versus Process Noise in Ionosphere Estimation for WAAS Juan Blanch, Todd Walter of several parameters: the geometry of the measurements, the measurement noise, and the state of the ionosphere, which yields the process noise. It is very important to distinguish carefully between measurement
Automatic Parameter Estimation in a Mesoscale Model Without Ensembles
Duane, Gregory S.
. Hacker National Center for Atmospheric Research, Boulder, CO gduane,hacker@ucar.edu In numerical as extra state variables, and applying standard data assimilation methods that use ensembles to rep- resent, it is argued that the approach to parameter estimation can be extended to a more general scheme for machine
Motion Estimation from Disparity Images
Demirdjian, D.
2001-05-07
A new method for 3D rigid motion estimation from stereo is proposed in this paper. The appealing feature of this method is that it directly uses the disparity images obtained from stereo matching. We assume that the stereo ...
Estimation of resources and reserves
Massachusetts Institute of Technology. Energy Laboratory.
1982-01-01
This report analyzes the economics of resource and reserve estimation. Current concern about energy problems has focused attention on how we measure available energy resources. One reads that we have an eight-year oil ...
Estimate product quality with ANNs
Brambilla, A. [Univ. of Pisa (Italy); Trivella, F. [Adicon Advanced Distillation Control SrL, Pisa (Italy)
1996-09-01
Artificial neural networks (ANNs) have been applied to predict catalytic reformer octane number (ON) and gasoline splitter product qualities. Results show that ANNs are a valuable tool to derive fast and accurate product quality measurements, and offer a low-cost alternative to online analyzers or rigorous mathematical models. The paper describes product quality measurements, artificial neural networks, ANN structure, estimating gasoline octane numbers, and estimating naphtha splitter product qualities.
Temperature estimates from zircaloy oxidation kinetics and microstructures. [PWR
Olsen, C.S.
1982-10-01
This report reviews state-of-the-art capability to determine peak zircaloy fuel rod cladding temperatures following an abnormal temperature excursion in a nuclear reactor, based on postirradiation metallographic analysis of zircaloy microstructural and oxidation characteristics. Results of a comprehensive literature search are presented to evaluate the suitability of available zircaloy microstructural and oxidation data for estimating anticipated reactor fuel rod cladding temperatures. Additional oxidation experiments were conducted to evaluate low-temperature zircaloy oxidation characteristics for postirradiation estimation of cladding temperature by metallographic examination. Results of these experiments were used to calculate peak cladding temperatures of electrical heater rods and nuclear fuel rods that had been subjected to reactor temperature transients. Comparison of the calculated and measured peak cladding temperatures for these rods indicates that oxidation kinetics is a viable technique for estimating peak cladding temperatures over a broad temperature range. However, further improvement in zircaloy microstructure technology is necessary for precise estimation of peak cladding temperatures by microstructural examination.
Tonn, B.; Hwang, Ho-Ling; Elliot, S.; Peretz, J.; Bohm, R.; Hendrucko, B.
1994-04-01
This report contains descriptions of methodologies to be used to estimate the one-time generation of hazardous waste associated with five different types of remediation programs: Superfund sites, RCRA Corrective Actions, Federal Facilities, Underground Storage Tanks, and State and Private Programs. Estimates of the amount of hazardous wastes generated from these sources to be shipped off-site to commercial hazardous waste treatment and disposal facilities will be made on a state by state basis for the years 1993, 1999, and 2013. In most cases, estimates will be made for the intervening years, also.
Weldon Spring historical dose estimate
Meshkov, N.; Benioff, P.; Wang, J.; Yuan, Y.
1986-07-01
This study was conducted to determine the estimated radiation doses that individuals in five nearby population groups and the general population in the surrounding area may have received as a consequence of activities at a uranium processing plant in Weldon Spring, Missouri. The study is retrospective and encompasses plant operations (1957-1966), cleanup (1967-1969), and maintenance (1969-1982). The dose estimates for members of the nearby population groups are as follows. Of the three periods considered, the largest doses to the general population in the surrounding area would have occurred during the plant operations period (1957-1966). Dose estimates for the cleanup (1967-1969) and maintenance (1969-1982) periods are negligible in comparison. Based on the monitoring data, if there was a person residing continually in a dwelling 1.2 km (0.75 mi) north of the plant, this person is estimated to have received an average of about 96 mrem/yr (ranging from 50 to 160 mrem/yr) above background during plant operations, whereas the dose to a nearby resident during later years is estimated to have been about 0.4 mrem/yr during cleanup and about 0.2 mrem/yr during the maintenance period. These values may be compared with the background dose in Missouri of 120 mrem/yr.
SECPOP90: Sector population, land fraction, and economic estimation program
Humphreys, S.L.; Rollstin, J.A.; Ridgely, J.N.
1997-09-01
In 1973 Mr. W. Athey of the Environmental Protection Agency wrote a computer program called SECPOP which calculated population estimates. Since that time, two things have changed which suggested the need for updating the original program - more recent population censuses and the widespread use of personal computers (PCs). The revised computer program uses the 1990 and 1992 Population Census information and runs on current PCs as {open_quotes}SECPOP90.{close_quotes} SECPOP90 consists of two parts: site and regional. The site provides population and economic data estimates for any location within the continental United States. Siting analysis is relatively fast running. The regional portion assesses site availability for different siting policy decisions; i.e., the impact of available sites given specific population density criteria within the continental United States. Regional analysis is slow. This report compares the SECPOP90 population estimates and the nuclear power reactor licensee-provided information. Although the source, and therefore the accuracy, of the licensee information is unknown, this comparison suggests SECPOP90 makes reasonable estimates. Given the total uncertainty in any current calculation of severe accidents, including the potential offsite consequences, the uncertainty within SECPOP90 population estimates is expected to be insignificant. 12 refs., 55 figs., 7 tabs.
Donnell, Kelly Elaine
2005-08-29
Project cost escalation is a major problem for State Highway Agencies (SHA). This problem is evident in cost estimating procedures that may not promote consistency and accuracy of costs over the project development process. ...
Control-oriented modeling and adaptive parameter estimation of a lithium ion intercalation cell
Bi, Pierre (Pierre Yanhe)
2015-01-01
Battery management systems using parameter and state estimators based on electrochemical models for Lithium ion cells, are promising efficient use and safety of the battery. In this thesis, two findings related to ...
Control, estimation, and planning algorithms for aggressive flight using onboard sensing
Bry, Adam Parker
2012-01-01
This thesis is motivated by the problem of fixed-wing flight through obstacles using only on-board sensing. To that end, we propose novel algorithms in trajectory generation for fixed-wing vehicles, state estimation in ...
Hydrogen Production Cost Estimate Using Biomass Gasification...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Cost Estimate Using Biomass Gasification: Independent Review Hydrogen Production Cost Estimate Using Biomass Gasification: Independent Review This independent review is the...
Optimal Strategies for Communication and Remote Estimation with an Energy Harvesting Sensor
Teneketzis, Demosthenis
1 Optimal Strategies for Communication and Remote Estimation with an Energy Harvesting Sensor A strategies. Communication problems with energy harvesting transmitters have been studied recently (see [1 with an energy harvesting sensor and a remote estimator. The sensor observes the state of a discrete-time source
PELLET COUNT INDICES COMPARED TO MARKRECAPTURE ESTIMATES FOR EVALUATING SNOWSHOE HARE DENSITY
PELLET COUNT INDICES COMPARED TO MARKRECAPTURE ESTIMATES FOR EVALUATING SNOWSHOE HARE DENSITY L in the contiguous United States. Efforts to evalu- ate hare densities using pellets have traditionally been based there was concordance between pellet-based predictions and markrecapture density estimates of hares. We developed local
Current Estimation and Remote Temperature Monitoring System for Low Power Digitally
Prodiæ, Aleksandar
1139 Current Estimation and Remote Temperature Monitoring System for Low Power Digitally Controlled-state inductor current and, at the same time, provide remote temperature monitoring of power switches in low a solution for combining a digital controller, current estimator and remote temperature monitor on a single
Estimated Costs of Crop Production in Iowa -2014 File A1-20
Duffy, Michael D.
Estimated Costs of Crop Production in Iowa - 2014 File A1-20 T he estimated costs of corn, corn. They include the annual Iowa Farm Busi- ness Association record summaries, production and costs data from, and a survey of selected agricultural cooperatives and other input suppliers around the state. These cost
Estimated Costs of Crop Production in Iowa -2011 File A1-20
Duffy, Michael D.
Estimated Costs of Crop Production in Iowa - 2011 File A1-20 T heestimatedcostsofcorn the annual Iowa Farm Business Association record summaries, production and costs data from the Departments of selected agricultural coop- eratives and other input suppliers around the state. These costs estimates
Estimated Costs of Crop Production in Iowa -2012 File A1-20
Duffy, Michael D.
Estimated Costs of Crop Production in Iowa - 2012 File A1-20 T he estimated costs of corn, corn. They include the annual Iowa Farm Business Asso- ciation 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 -2013 File A1-20
Duffy, Michael D.
Estimated Costs of Crop Production in Iowa - 2013 File A1-20 T he estimated costs of corn, corn. They include the annual Iowa Farm Busi- ness Association record summaries, production and costs data from and a survey of selected agricultural cooperatives and other input suppliers around the state. These cost
Duffy, Michael D.
The estimated costs of corn, corn silage, soybeans, alfalfa, and pasture maintenance in this report summaries, production and costs data from the Depart- ments of Economics, Agricultural and Biosystems and other input suppliers around the state. These costs estimates are representative of average costs
Operating Costs Estimates Cost Indices
Boisvert, Jeff
cost projections · Chemical Engineering (CE) Plant Construction Cost Index Base value = 100 in 1957.0 in 2Q 2001 · Engineering News Record (ENR) · Nelson Refinery (NR) Construction Cost Index Cost Indices available for estimation are based upon the past · These data must be updated using cost indexes . · Cost
Strichartz Estimates Counterexample to Strichartz
Smith, Hart F.
for the Wave Equation on Compact Manifolds with Boundary Hart F. Smith Department of Mathematics University of Washington, Seattle Carolina Meeting on Harmonic Analysis and PDE Hart F. Smith Strichartz Estimates g L2(M) For manifolds without boundary: 1 p + n q = n 2 - 2 p + n - 1 q n - 1 2 Hart F. Smith
TOWARDS ESTIMATING TOTAL ECONOMIC VALUE
Bateman, Ian J.
TOWARDS ESTIMATING TOTAL ECONOMIC VALUE OF FORESTS IN MEXICO by Neil Adger Katrina Brown Raffaello OF FORESTS IN MEXICO by Neil Adger Katrina Brown Raffaello Cervigni Dominic Moran Centre for Social and SEDESOL for their assistance whilst in Mexico, and David Pearce and Kerry Turner for comments on earlier
Drought: Monitoring, Estimation and Prediction
Washington at Seattle, University of
.S. disaster before hurricane Katrina) Significant social consequences (e.g. Dust Bowl) Challenges U.S. dataset (1915-present) Need method for objective identification and estimation of drought Capacity model Solves energy and water balance over gridded domain Sub-grid variability in topography
Best Linear Unbiased Estimate Motivation for BLUE
Fowler, Mark
1 Chapter 6 Best Linear Unbiased Estimate (BLUE) #12;2 Motivation for BLUE Except for Linear Model to a sub-optimal estimate BLUE is one such sub-optimal estimate Idea for BLUE: 1. Restrict estimate) Advantage of BLUE:Needs only 1st and 2nd moments of PDF Mean & Covariance Disadvantages of BLUE: 1. Sub
Guidelines for Estimating Unmetered Landscapting Water Use
None
2010-07-30
Guidance to help Federal agencies estimate unmetered landscaping water use as required by Executive Order 13514
Technical report: Multivariate generalized S-estimators
Van Aelst, Stefan
Technical report: Multivariate generalized S-estimators Roelant E. a, Van Aelst S. a Croux C. b a-estimators for the multivariate regression model. This class of estimators combines high robustness and high efficiency of residuals. In the special case of a multivariate location model, the generalized S-estimator has
Convective rainfall estimation from digital GOES-1 infrared data
Sickler, Gary L
1979-01-01
scheme was adapted for this study and used with the digital geostationary satellite data. The concept of enhancement curves with respect to rainfall approxima- tion is discussed. Raingage rainfall analyses and satellite-derived rainfall estimation... digital geostationary infrared satellite data is feasible. A CKNOWLE DG EMENT S The author's graduate program was sponsored and financed by the Air Force Institute of Technology, United States Air Force. I would like to express my appreciation...
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 Rank EERE:Financing Tool FitsProjectDataSecretaryDepartment7 Annual2InformationState Energy RevolvingState
Biomass Feedstock Availability in the United States: 1999 State Level Analysis
None
2000-01-01
Interest in using biomass feedstocks to produce power, liquid fuels, and chemicals in the U.S. is increasing. Central to determining the potential for these industries to develop is an understanding of the location, quantities, and prices of biomass resources. This paper describes the methodology used to estimate biomass quantities and prices for each state in the continental United States.
Short communication Real-time estimation of lead-acid battery parameters: A dynamic
Ray, Asok
squares) have been applied to lead-acid [1] and lithium-ion [2] batteries. This paper proposes a dynamicShort 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
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
Modeling and Bayesian parameter estimation for shape memory alloy bending actuators
. In this paper we employ a computationally efficient model for a SMA bending actuator. Furthermore, we utilizeModeling and Bayesian parameter estimation for shape memory alloy bending actuators John H. Crewsa Carolina State University, Raleigh, NC, United States ABSTRACT In this paper, we employ a homogenized
Estimated Withdrawals from Principal Aquifers in
withdrawalsUnited States. 2. Water consumptionUnited States. 3. Water-supplyUnited States. I. Barber, Nancy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 Self-Supplied Industrial
Estimating uncertainty of inference for validation
Booker, Jane M [Los Alamos National Laboratory; Langenbrunner, James R [Los Alamos National Laboratory; Hemez, Francois M [Los Alamos National Laboratory; Ross, Timothy J [UNM
2010-09-30
We present a validation process based upon the concept that validation is an inference-making activity. This has always been true, but the association has not been as important before as it is now. Previously, theory had been confirmed by more data, and predictions were possible based on data. The process today is to infer from theory to code and from code to prediction, making the role of prediction somewhat automatic, and a machine function. Validation is defined as determining the degree to which a model and code is an accurate representation of experimental test data. Imbedded in validation is the intention to use the computer code to predict. To predict is to accept the conclusion that an observable final state will manifest; therefore, prediction is an inference whose goodness relies on the validity of the code. Quantifying the uncertainty of a prediction amounts to quantifying the uncertainty of validation, and this involves the characterization of uncertainties inherent in theory/models/codes and the corresponding data. An introduction to inference making and its associated uncertainty is provided as a foundation for the validation problem. A mathematical construction for estimating the uncertainty in the validation inference is then presented, including a possibility distribution constructed to represent the inference uncertainty for validation under uncertainty. The estimation of inference uncertainty for validation is illustrated using data and calculations from Inertial Confinement Fusion (ICF). The ICF measurements of neutron yield and ion temperature were obtained for direct-drive inertial fusion capsules at the Omega laser facility. The glass capsules, containing the fusion gas, were systematically selected with the intent of establishing a reproducible baseline of high-yield 10{sup 13}-10{sup 14} neutron output. The deuterium-tritium ratio in these experiments was varied to study its influence upon yield. This paper on validation inference is the first in a series of inference uncertainty estimations. While the methods demonstrated are primarily statistical, these do not preclude the use of nonprobabilistic methods for uncertainty characterization. The methods presented permit accurate determinations for validation and eventual prediction. It is a goal that these methods establish a standard against which best practice may evolve for determining degree of validation.
Nonlinear and distributed sensory estimation
Sugathevan, Suranthiran
2005-08-29
!tdt (2.3) where ! is frequency in rad/sec. Fff(t)g is also known as the spectrum of f(t). De nition 4 Inverse Fourier Transform: The Inverse Fourier Transform (F 1f:g) recovers the function f(t) from its Fourier Transform Fff(t)g. F 1fFff(t)gg = f(t) = 12...=ISO-8859-1 NONLINEAR AND DISTRIBUTED SENSORY ESTIMATION A Dissertation by SURANTHIRAN SUGATHEVAN Submitted to the O ce of Graduate Studies of Texas A&M University in partial ful llment of the requirements for the degree of DOCTOR OF PHILOSOPHY May...
Principal Components Instrumental Variable Estimation
Winkelried, Diego; Smith, Richard J.
2011-01-31
badly if the IV do not admit a factor representation 3 (cf., Kapetanios and Marcellino, 2006). We rely instead on a vague notion of correlation among instruments (assumption A5 or A6 below), as the merits of the PCIVE depend on the instruments displaying... Assumption A4. Hence, Assumption A4 simply places a bound for ??? such that the implied restriction on the 6 explanatory power of the instruments in (3) also holds in matrix norms. 2.1 The Case for a Lower-Dimensional IVE We study the properties of estimators...
Shale Natural Gas Estimated Production
Gasoline and Diesel Fuel Update (EIA)
2,116 3,110 5,336 7,994 10,371 11,415 2007-2013 Alaska 0 0 0 0 0 0 2007-2013 Lower 48 States 2,116 3,110 5,336 7,994 10,371 11,415 2007-2013 Alabama 0 0 0 2007-2010 Arkansas 279...
Harmonizing Systems and Software Cost Estimation
Wang, Gan
2009-07-19
The objective of this paper is to examine the gaps and overlaps between software and systems engineering cost models with intent to harmonize the estimates in engineering engineering estimation. In particular, we evaluate ...
STATE of the STATE Survey State of the State SurveyState of the State Survey
Riley, Shawn J.
8White 8.3 9.8 Black 5.7 12.4 Democrat 2.4 15.4 Republican 12.2 2.8 Detroit 3.9 9.2 Southeast Michigan (excluding Detroit) 9.8 10.8 #12;STATE of the STATE Survey Percent of Michigan Residents Who Rate.3 Black 33.5 12.8 53.7 Democrat 14.6 15.8 69.7 Republican 34.1 22.3 43.6 Detroit 32 4 14 0 53 7Detroit 32
Cost Model and Cost Estimating Software
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-03-28
This chapter discusses a formalized methodology is basically a cost model, which forms the basis for estimating software.
A Fast Algorithm for Nonstationary Delay Estimation
So, Hing-Cheung
to the explicit time delay estimator (ETDE) algorithm 4] but it is more computationally e cient and provides more
PROBABILISTIC METHODS FOR LOCATION ESTIMATION IN
Myllymäki, Petri
PROBABILISTIC METHODS FOR LOCATION ESTIMATION IN WIRELESS NETWORKS Petri Kontkanen, Petri Myllym;PROBABILISTIC METHODS FOR LOCATION ESTIMATION IN WIRELESS NETWORKS Petri Kontkanen, Petri Myllym¨aki, Teemu Roos METHODS FOR LOCATION ESTIMATION IN WIRELESS NETWORKS Petri Kontkanen, Petri Myllymäki, Teemu Roos, Henry
New Methodology for Natural Gas Production Estimates
Reports and Publications (EIA)
2010-01-01
A new methodology is implemented with the monthly natural gas production estimates from the EIA-914 survey this month. The estimates, to be released April 29, 2010, include revisions for all of 2009. The fundamental changes in the new process include the timeliness of the historical data used for estimation and the frequency of sample updates, both of which are improved.
An approach to Bayesian based Effort Estimation
Bae, Doo-Hwan
project/activities and performing cost/benefits analysis Early estimate and accurate evaluation can of considering to estimate effort for software maintenance in view of system architecture Not enough to reflect as to requirement in architecture Lack of supporting to estimate effort for software maintenance in view
Quantum learning of coherent states
Gael Sentís; Madalin Guta; Gerardo Adesso
2014-10-31
We develop a quantum learning scheme for binary discrimination of coherent states of light. This is a problem of technological relevance for the reading of information stored in a digital memory. In our setting, a coherent light source is used to illuminate a memory cell and retrieve its encoded bit by determining the quantum state of the reflected signal. We consider a situation where the amplitude of the states produced by the source is not fully known, but instead this information is encoded in a large training set comprising many copies of the same coherent state. We show that an optimal global measurement, performed jointly over the signal and the training set, provides higher successful identification rates than any learning strategy based on first estimating the unknown amplitude by means of Gaussian measurements on the training set, followed by an adaptive discrimination procedure on the signal. By considering a simplified variant of the problem, we argue that this is the case even for non-Gaussian estimation measurements. Our results show that, even in absence of entanglement, collective quantum measurements yield an enhancement in the readout of classical information, which is particularly relevant in the operating regime of low-energy signals.
2007 Estimated International Energy Flows
Smith, C A; Belles, R D; Simon, A J
2011-03-10
An energy flow chart or 'atlas' for 136 countries has been constructed from data maintained by the International Energy Agency (IEA) and estimates of energy use patterns for the year 2007. Approximately 490 exajoules (460 quadrillion BTU) of primary energy are used in aggregate by these countries each year. While the basic structure of the energy system is consistent from country to country, patterns of resource use and consumption vary. Energy can be visualized as it flows from resources (i.e. coal, petroleum, natural gas) through transformations such as electricity generation to end uses (i.e. residential, commercial, industrial, transportation). These flow patterns are visualized in this atlas of 136 country-level energy flow charts.
Supplemental report on cost estimates'
NONE
1992-04-29
The Office of Management and Budget (OMB) and the U.S. Army Corps of Engineers have completed an analysis of the Department of Energy's (DOE) Fiscal Year (FY) 1993 budget request for its Environmental Restoration and Waste Management (ERWM) program. The results were presented to an interagency review group (IAG) of senior-Administration officials for their consideration in the budget process. This analysis included evaluations of the underlying legal requirements and cost estimates on which the ERWM budget request was based. The major conclusions are contained in a separate report entitled, ''Interagency Review of the Department of Energy Environmental Restoration and Waste Management Program.'' This Corps supplemental report provides greater detail on the cost analysis.
Robustness analysis of linear estimators
Tayade, Rajeshwary
2004-09-30
. Conditional Maximum Likelihood, i.e. given that the conditional probability function p(yjx) is known, find x such that p(y0jx) is maximum for a particular observation y0. Thus we can have estimators that minimize the average cost, or minimizes the max- imum... as the particle moves from t0 to t is given by s = Z t t0 jx0(t)jdt (2.2) Here we have an expression for s as a function of t : s = f(t). To show that s is a regular parameter, we note that this function is also analytic. Differentiating equation 2.2 we have, ds...
Broader source: Energy.gov (indexed) [DOE]
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyThe U.S. Department ofEnergy(Department orAn exampleThe StartupagendaitsState million
Broader source: Energy.gov (indexed) [DOE]
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyThe U.S. Department ofEnergy(Department orAn exampleThe StartupagendaitsState
Broader source: Energy.gov (indexed) [DOE]
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyThe U.S. Department ofEnergy(Department orAn exampleThe StartupagendaitsState83
Broader source: Energy.gov (indexed) [DOE]
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyThe U.S. Department ofEnergy(Department orAn exampleThe StartupagendaitsState8333
Broader source: Energy.gov (indexed) [DOE]
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyThe U.S. Department ofEnergy(Department orAn exampleThe StartupagendaitsState83337
Broader source: Energy.gov (indexed) [DOE]
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyThe U.S. Department ofEnergy(Department orAn exampleThe StartupagendaitsState8333755
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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann Jackson About1996HowFOAShowing YouNeedof EnergyMeeting - MarchUSPS:1 United States
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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann Jackson About1996HowFOAShowing YouNeedof EnergyMeeting - MarchUSPS:1 United States7
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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann Jackson About1996HowFOAShowing YouNeedof EnergyMeeting - MarchUSPS:1 United States78
Robust bearing estimation for 3-component stations
CLAASSEN,JOHN P.
2000-02-01
A robust bearing estimation process for 3-component stations has been developed and explored. The method, called SEEC for Search, Estimate, Evaluate and Correct, intelligently exploits the inherent information in the arrival at every step of the process to achieve near-optimal results. In particular the approach uses a consistent framework to define the optimal time-frequency windows on which to make estimates, to make the bearing estimates themselves, to construct metrics helpful in choosing the better estimates or admitting that the bearing is immeasurable, and finally to apply bias corrections when calibration information is available to yield a single final estimate. The algorithm was applied to a small but challenging set of events in a seismically active region. It demonstrated remarkable utility by providing better estimates and insights than previously available. Various monitoring implications are noted from these findings.
U.S. Energy Information Administration | State Energy Data 2013...
Annual Energy Outlook [U.S. Energy Information Administration (EIA)]
5: Wood and Biomass Waste Price and Expenditure Estimates, 2013 State Prices Expenditures Wood Wood and Biomass Waste a Total b Wood Wood and Biomass Waste a Total b Residential...
U.S. Energy Information Administration | State Energy Data 2013...
Gasoline and Diesel Fuel Update (EIA)
8: Solar Energy Consumption Estimates, 2013 State Electric Power Residential a Commercial b Industrial b Electric Power Total Million Kilowatthours Trillion Btu Alabama 0 0.1 0.0...
The value of United States oil and gas reserves
Adelman, Morris Albert
1996-01-01
The object of this research is to estimate a time series, starting in 1979, for the value of in-ground oil reserves and natural gas reserves in the United States. Relatively good statistics exist for the physical quantities. ...
Estimating fare and expenditure elasticities of demand for air travel in the U.S. domestic market
Alwaked, Ahmad Abdelrahman Fahed
2007-04-25
This study estimates the demand for domestic air travel services in the United States in order to calculate the fare and expenditure elasticities of demand. We segmented the market according to number of operating airlines, ...
Song, Fuxian
2011-01-01
Downhole microseismics has gained increasing popularity in recent years as a way to characterize hydraulic fracturing and to estimate in-situ stress state. Conventional approaches only utilize part of the information ...
Song, Fuxian
2010-01-01
Downhole microseismics has gained in popularity in recent years as a way to characterize hydraulic fracturing sources and to estimate in-situ stress state. Conventional approaches only utilize part of the information ...
Jackson, Robert B.
The impact of geologic variability on capacity and cost estimates for storing CO2 in deep States could store many de- cades worth of the nation's current annual CO2 emissions, the likely cost estimates for storage span three orders of magnitude and average>$100/tonne CO2. However, when the cost
Peter K. Relich; Mark J. Olah; Patrick J. Cutler; Keith A. Lidke
2015-08-21
The movement of a particle described by Brownian motion is quantified by a single parameter, $D$, the diffusion constant. The estimation of $D$ from a discrete sequence of noisy observations is a fundamental problem in biological single particle tracking experiments since it can report on the environment and/or the state of the particle itself via hydrodynamic radius. Here we present a method to estimate $D$ that takes into account several effects that occur in practice, that are important for correct estimation of $D$, and that have hitherto not been combined together for estimation of $D$. These effects are motion blur from finite integration time of the camera, intermittent trajectories, and time-dependent localization uncertainty. Our estimation procedure, a maximum likelihood estimation, follows directly from the likelihood expression for a discretely observed Brownian trajectory that explicitly includes these effects. The manuscript begins with the formulation of the likelihood expression and then presents three methods to find the exact solution. Each method has its own advantages in either computational robustness, theoretical insight, or the estimation of hidden variables. We then compare our estimator to previously published estimators using a squared log loss function to demonstrate the benefit of including these effects.
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.
State Energy Program Helps States Plan
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Energy Program Helps States Plan and Implement Energy Efficiency The U.S. Department of Energy (DOE) State Energy Program (SEP) provides grants and technical assis- tance to states...
Efficiency of quantum state tomography for qubits
Koichi Yamagata
2011-05-19
The efficiency of quantum state tomography is discussed from the point of view of quantum parameter estimation theory, in which the trace of the weighted covariance is to be minimized. It is shown that tomography is optimal only when a special weight is adopted.
How to Estimate the Value of Service Reliability Improvements
Sullivan, Michael J.
2010-01-01
most current estimates of outage costs, it is hopeful thatand D. M. Keane. “Outage Cost Estimation Guidebook,” EPRIanalysts on how to apply outage cost estimates to a smart
GAO Cost Estimating and Assessment Guide | Department of Energy
Office of Environmental Management (EM)
Cost Estimating and Assessment Guide GAO Cost Estimating and Assessment Guide GAO 12-Step Estimating Process.pdf More Documents & Publications EIR SOP Septmebr 2010 Microsoft Word...
Population estimates for Phase 1: Hanford Environmental Dose Reconstruction Project
Beck, D.M.; Erickson, A.R.; Harkreader, S.A.
1992-03-01
This report summarizes the population estimates of Phase I of the Hanford Environmental Dose Reconstruction (HEDR) Project. These estimates were used to develop preliminary dose estimates.
Griffin, P.J.
1998-05-01
This report provides a review of the Palisades submittal to the Nuclear Regulatory Commission requesting endorsement of their accumulated neutron fluence estimates based on a least squares adjustment methodology. This review highlights some minor issues in the applied methodology and provides some recommendations for future work. The overall conclusion is that the Palisades fluence estimation methodology provides a reasonable approach to a {open_quotes}best estimate{close_quotes} of the accumulated pressure vessel neutron fluence and is consistent with the state-of-the-art analysis as detailed in community consensus ASTM standards.
Budget estimates. Fiscal year 1998
NONE
1997-02-01
The U.S. Congress has determined that the safe use of nuclear materials for peaceful purposes is a legitimate and important national goal. It has entrusted the Nuclear Regulatory Commission (NRC) with the primary Federal responsibility for achieving that goal. The NRC`s mission, therefore, is to regulate the Nation`s civilian use of byproduct, source, and special nuclear materials to ensure adequate protection of public health and safety, to promote the common defense and security, and to protect the environment. The NRC`s FY 1998 budget requests new budget authority of $481,300,000 to be funded by two appropriations - one is the NRC`s Salaraies and Expenses appropriation for $476,500,000, and the other is NRC`s Office of Inspector General appropriation for $4,800,000. Of the funds appropriated to the NRC`s Salaries and Expenses, $17,000,000, shall be derived from the Nuclear Waste Fund and $2,000,000 shall be derived from general funds. The proposed FY 1998 appropriation legislation would also exempt the $2,000,000 for regulatory reviews and other assistance provided to the Department of Energy from the requirement that the NRC collect 100 percent of its budget from fees. The sums appropriated to the NRC`s Salaries and Expenses and NRC`s Office of Inspector General shall be reduced by the amount of revenues received during FY 1998 from licensing fees, inspection services, and other services and collections, so as to result in a final FY 1998 appropriation for the NRC of an estimated $19,000,000 - the amount appropriated from the Nuclear Waste Fund and from general funds. Revenues derived from enforcement actions shall be deposited to miscellaneous receipts of the Treasury.
Spectral thresholding quantum tomography for low rank states
Cristina Butucea; Madalin Guta; Theodore Kypraios
2015-04-30
The estimation of high dimensional quantum states is an important statistical problem arising in current quantum technology applications. A key example is the tomography of multiple ions states, employed in the validation of state preparation in ion trap experiments \\cite{Haffner2005}. Since full tomography becomes unfeasible even for a small number of ions, there is a need to investigate lower dimensional statistical models which capture prior information about the state, and to devise estimation methods tailored to such models. In this paper we propose several new methods aimed at the efficient estimation of low rank states in multiple ions tomography. All methods consist in first computing the least squares estimator, followed by its truncation to an appropriately chosen smaller rank. The latter is done by setting eigenvalues below a certain "noise level" to zero, while keeping the rest unchanged, or normalising them appropriately. We show that (up to logarithmic factors in the space dimension) the mean square error of the resulting estimators scales as $r\\cdot d/N$ where $r$ is the rank, $d=2^k$ is the dimension of the Hilbert space, and $N$ is the number of quantum samples. Furthermore we establish a lower bound for the asymptotic minimax risk which shows that the above scaling is optimal. The performance of the estimators is analysed in an extensive simulations study, with emphasis on the dependence on the state rank, and the number of measurement repetitions. We find that all estimators perform significantly better that the least squares, with the "physical estimator" (which is a bona fide density matrix) slightly outperforming the other estimators.
Estimating externalities of biomass fuel cycles, Report 7
Barnthouse, L.W.; Cada, G.F.; Cheng, M.-D.; Easterly, C.E.; Kroodsma, R.L.; Lee, R.; Shriner, D.S.; Tolbert, V.R.; Turner, R.S.
1998-01-01
This report documents the analysis of the biomass fuel cycle, in which biomass is combusted to produce electricity. The major objectives of this study were: (1) to implement the methodological concepts which were developed in the Background Document (ORNL/RFF 1992) as a means of estimating the external costs and benefits of fuel cycles, and by so doing, to demonstrate their application to the biomass fuel cycle; (2) to develop, given the time and resources, a range of estimates of marginal (i.e., the additional or incremental) damages and benefits associated with selected impact-pathways from a new wood-fired power plant, using a representative benchmark technology, at two reference sites in the US; and (3) to assess the state of the information available to support energy decision making and the estimation of externalities, and by so doing, to assist in identifying gaps in knowledge and in setting future research agendas. The demonstration of methods, modeling procedures, and use of scientific information was the most important objective of this study. It provides an illustrative example for those who will, in the future, undertake studies of actual energy options and sites. As in most studies, a more comprehensive analysis could have been completed had budget constraints not been as severe. Particularly affected were the air and water transport modeling, estimation of ecological impacts, and economic valuation. However, the most important objective of the study was to demonstrate methods, as a detailed example for future studies. Thus, having severe budget constraints was appropriate from the standpoint that these studies could also face similar constraints. Consequently, an important result of this study is an indication of what can be done in such studies, rather than the specific numerical estimates themselves.
Adjoint Error Estimation for Elastohydrodynamic Lubrication
Jimack, Peter
Adjoint Error Estimation for Elastohydrodynamic Lubrication by Daniel Edward Hart Submitted elastohydro- dynamic lubrication (EHL) problems. A functional is introduced, namely the friction
An Estimator of Propagation of Cascading Failure
Dobson, Ian; Wierzbicki, Kevin; Carreras, Benjamin A; Lynch, Vickie E; Newman, David E
2006-01-01
The authors suggest a statistical estimator to measure the extent to which failures propagate in cascading failures such as large blackouts.
Adjusted Estimates of Texas Natural Gas Production
Reports and Publications (EIA)
2005-01-01
The Energy Information Administration (EIA) is adjusting its estimates of natural gas production in Texas for 2004 and 2005 to correctly account for carbon dioxide (CO2) production.
Estimating solar irradiance using a geostationary satellite
Urquhart, Bryan Glenn
2011-01-01
Heliosat procedure for irradiance Estimates from Satellitethe pro duction of solar irradiance and daylight illuminancesatellite based solar irradiance modelling - The SOLIS clear
Estimating Mitigation Potential of Agricultural Projects: an...
Tool (EX-ACT) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Brazil-Estimating Mitigation Potential of Agricultural Projects: an Application of the...
Interval estimation in calibration problems: an alternate approach
Quaino, Oscar Rodolfo
1983-01-01
measurement of the dependent varia- ble. This interval will depend upon the dependent variable and also on the outcome of the calibration experiment. For each unknown a state- ment is made in the sense that it belongs to the interval. Then he searches... is computed as 2 n , 1(yi ? y) Ss n ? 2 and will also be denoted by NSE. (2. 2) In the calibration problem, the classical estimator of x* given an obsezvation y* is y* ? b 0 x* bl Under the normality assumption x" is the NLE of x* (Graybill 1976...
Al Faruque, Mohammad Abdullah
Protect Your Family From Lead in Your Home United States Environmental Protection Agency United States Consumer Product Safety Commission United States Department of Housing and Urban Development
Framework for State-Level Renewable Energy Market Potential Studies
Kreycik, C.; Vimmerstedt, L.; Doris, E.
2010-01-01
State-level policymakers are relying on estimates of the market potential for renewable energy resources as they set goals and develop policies to accelerate the development of these resources. Therefore, accuracy of such estimates should be understood and possibly improved to appropriately support these decisions. This document provides a framework and next steps for state officials who require estimates of renewable energy market potential. The report gives insight into how to conduct a market potential study, including what supporting data are needed and what types of assumptions need to be made. The report distinguishes between goal-oriented studies and other types of studies, and explains the benefits of each.
Cost Estimating Handbook for Environmental Restoration
1990-09-01
Environmental restoration (ER) projects have presented the DOE and cost estimators with a number of properties that are not comparable to the normal estimating climate within DOE. These properties include: An entirely new set of specialized expressions and terminology. A higher than normal exposure to cost and schedule risk, as compared to most other DOE projects, due to changing regulations, public involvement, resource shortages, and scope of work. A higher than normal percentage of indirect costs to the total estimated cost due primarily to record keeping, special training, liability, and indemnification. More than one estimate for a project, particularly in the assessment phase, in order to provide input into the evaluation of alternatives for the cleanup action. While some aspects of existing guidance for cost estimators will be applicable to environmental restoration projects, some components of the present guidelines will have to be modified to reflect the unique elements of these projects. The purpose of this Handbook is to assist cost estimators in the preparation of environmental restoration estimates for Environmental Restoration and Waste Management (EM) projects undertaken by DOE. The DOE has, in recent years, seen a significant increase in the number, size, and frequency of environmental restoration projects that must be costed by the various DOE offices. The coming years will show the EM program to be the largest non-weapons program undertaken by DOE. These projects create new and unique estimating requirements since historical cost and estimating precedents are meager at best. It is anticipated that this Handbook will enhance the quality of cost data within DOE in several ways by providing: The basis for accurate, consistent, and traceable baselines. Sound methodologies, guidelines, and estimating formats. Sources of cost data/databases and estimating tools and techniques available at DOE cost professionals.
Joko Tingkir program for estimating tsunami potential rapidly
Madlazim,, E-mail: m-lazim@physics.its.ac.id; Hariyono, E., E-mail: m-lazim@physics.its.ac.id [Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Negeri Surabaya (UNESA) , Jl. Ketintang, Surabaya 60231 (Indonesia)
2014-09-25
The purpose of the study was to estimate P-wave rupture durations (T{sub dur}), dominant periods (T{sub d}) and exceeds duration (T{sub 50Ex}) simultaneously for local events, shallow earthquakes which occurred off the coast of Indonesia. Although the all earthquakes had parameters of magnitude more than 6,3 and depth less than 70 km, part of the earthquakes generated a tsunami while the other events (Mw=7.8) did not. Analysis using Joko Tingkir of the above stated parameters helped understand the tsunami generation of these earthquakes. Measurements from vertical component broadband P-wave quake velocity records and determination of the above stated parameters can provide a direct procedure for assessing rapidly the potential for tsunami generation. The results of the present study and the analysis of the seismic parameters helped explain why the events generated a tsunami, while the others did not.
Quality Estimation and Segmentation of Pig Backs
Quality Estimation and Segmentation of Pig Backs Mads Fogtmann Hansen Kongens Lyngby 2005 Master the quality of the pig product "18cm back". It presents the necessary tools for deriving the measures, which are needed to perform a quality estimation. This includes finding the ribs, extracting the 18cm back from
Hydrogen Production Cost Estimate Using Biomass Gasification
Hydrogen Production Cost Estimate Using Biomass Gasification National Renewable Energy Laboratory Panel, Hydrogen Production Cost Estimate Using Biomass Gasification To: Mr. Mark Ruth, NREL, DOE dollars. Costs for a pioneer plant [a 1st plant with a capacity of 500 dry ton per day (dtpd) biomass
The Importance of Carbon Footprint Estimation Boundaries
Kammen, Daniel M.
The Importance of Carbon Footprint Estimation Boundaries H . S C O T T M A T T H E W S , C H R I and organizations are pursuing "carbon footprint" projects to estimate their own contributions to global climate change. Protocol definitions from carbon registries help organizations analyze their footprints
Hybrid Estimation of CMB Polarization Power Spectra
G. Efstathiou
2006-01-05
This paper generalises the hybrid power spectrum estimator developed in Efstathiou (2004a) to the estimation of polarization power spectra of the cosmic microwave background radiation. The hybrid power spectrum estimator is unbiased and we show that it is close to optimal at all multipoles, provided the pixel noise satisfies certain reasonable constraints. Furthermore, the hybrid estimator is computationally fast and can easily be incorporated in a Monte-Carlo chain for Planck-sized data sets. Simple formulae are given for the covariance matrices, including instrumental noise, and these are tested extensively against numerical simulations. We compare the behaviour of simple pseudo-Cell estimates with maximum likelihood estimates at low multipoles. For realistic sky cuts, maximum likelihood estimates reduce very significantly the mixing of E and B modes. To achieve limits on the scalar-tensor ratio of r<<0.1 from sky maps with realistic sky cuts, maximum likelihood methods, or pseudo-Cell estimators based on unambiguous E and B modes, will be essential.
Martin, Ralph R.
___________________________________________________________________________________________________ Estimating the Fundamental Matrix via Constrained Least-Squares: A Convex Approach Graziano Chesi, AndreaÐIn this paper, a new method for the estimation of the fundamental matrix from point correspondences is presented on the fundamental matrix. It is shown how this nonconvex optimization problem can be solved avoiding local minima
Reservation Price Estimation by Adaptive Conjoint Analysis
Schmidt-Thieme, Lars
Reservation Price Estimation by Adaptive Conjoint Analysis Christoph Breidert1 , Michael Hahsler1 applied the eco- nomic definition of reservation price in combination with a conjoint study on product pricing. In this paper we present a novel approach to estimate the economic reser- vation price using
Estimated Costs of Pasture and Hay Production
Duffy, Michael D.
Estimated Costs of Pasture and Hay Production This report summarizes estimated costs of improving pasture by five different systems. For each system, both the initial cost per acre and the annual maintenance cost per acre are presented. In addition, costs of establishing alfalfa or alfalfagrass hay
Estimated Costs of Pasture and Hay Production
Duffy, Michael D.
Estimated Costs of Pasture and Hay Production This report summarizes estimated costs of improving pasture by five different systems. For each system, both the initial cost per acre and the annual maintenance cost per acre are presented. In addition, costs of establishing alfalfa or alfalfa-grass hay
CONFIDENTIALITY AND VARIANCE ESTIMATION IN COMPLEX SURVEYS
Brennand, Tracy
is the conflict of interest between in- formation sharing and disclosure control. Statistical agencies routinelyCONFIDENTIALITY AND VARIANCE ESTIMATION IN COMPLEX SURVEYS by Wen Wilson Lu M.Sc., Simon Fraser of Philosophy Title of thesis: Confidentiality and Variance Estimation in Complex Surveys Examining Committee
Characterization of wind power resource in the United States*
Characterization of wind power resource in the United States* U. Bhaskar Gunturu and C. Adam Chemistry and Physics Characterization of wind power resource in the United States U. B. Gunturu and C. A, 120 m turbine hub heights. The wind power density (WPD) estimates at 50 m are qualitatively similar
Mining withdrawals by water quality and State, 2005. EXPLANATION
Mining withdrawals by water quality and State, 2005. 0 to 10 10 to 50 50 to 100 100 to 200 200 mining withdrawals Freshwater mining withdrawals Saline-water mining withdrawals Estimated Use of Water in the United States in 2005 - Mining USGS Water-Science School -- http://ga.water.usgs.gov/edu/wumi.html Source
Energy Use and Design Options for Texas State Buildings
Katipamula, S.; O'Neal, D. L.
1988-01-01
was the reduction of energy use of all new buildings constructed for state agencies. The first phase of this program was to estimate the energy use of new buildings corresponding to current construction practices in state facilities and to make recommendations...
Product-state Approximations to Quantum Ground States
Fernando G. S. L. Brandão; Aram W. Harrow
2014-12-15
The local Hamiltonian problem consists of estimating the ground-state energy (given by the minimum eigenvalue) of a local quantum Hamiltonian. First, we show the existence of a good product-state approximation for the ground-state energy of 2-local Hamiltonians with one or more of the following properties: (1) high degree, (2) small expansion, or (3) a ground state with sublinear entanglement with respect to some partition into small pieces. The approximation based on degree is a surprising difference between quantum Hamiltonians and classical CSPs (constraint satisfaction problems), since in the classical setting, higher degree is usually associated with harder CSPs. The approximation based on low entanglement, in turn, was previously known only in the regime where the entanglement was close to zero. Since the existence of a low-energy product state can be checked in NP, the result implies that any Hamiltonian used for a quantum PCP theorem should have: (1) constant degree, (2) constant expansion, (3) a "volume law" for entanglement with respect to any partition into small parts. Second, we show that in several cases, good product-state approximations not only exist, but can be found in polynomial time: (1) 2-local Hamiltonians on any planar graph, solving an open problem of Bansal, Bravyi, and Terhal, (2) dense k-local Hamiltonians for any constant k, solving an open problem of Gharibian and Kempe, and (3) 2-local Hamiltonians on graphs with low threshold rank, via a quantum generalization of a recent result of Barak, Raghavendra and Steurer. Our work introduces two new tools which may be of independent interest. First, we prove a new quantum version of the de Finetti theorem which does not require the usual assumption of symmetry. Second, we describe a way to analyze the application of the Lasserre/Parrilo SDP hierarchy to local quantum Hamiltonians.
Estimating the bias of a noisy coin
Christopher Ferrie; Robin Blume-Kohout
2012-01-06
Optimal estimation of a coin's bias using noisy data is surprisingly different from the same problem with noiseless data. We study this problem using entropy risk to quantify estimators' accuracy. We generalize the "add Beta" estimators that work well for noiseless coins, and we find that these hedged maximum-likelihood (HML) estimators achieve a worst-case risk of O(N^{-1/2}) on noisy coins, in contrast to O(1/N) in the noiseless case. We demonstrate that this increased risk is unavoidable and intrinsic to noisy coins, by constructing minimax estimators (numerically). However, minimax estimators introduce extreme bias in return for slight improvements in the worst-case risk. So we introduce a pointwise lower bound on the minimum achievable risk as an alternative to the minimax criterion, and use this bound to show that HML estimators are pretty good. We conclude with a survey of scientific applications of the noisy coin model in social science, physical science, and quantum information science.
Bae, Doo-Hwan
Is This Cost Estimate Reliable?Is This Cost Estimate Reliable? - The Relationship between/4)( / ) Software cost estimation Definition · Task of predicting the cost required to complete a software projectproject Techniques for software cost estimation · Algorithmic estimationAlgorithmic estimation Calculate
A priori estimates for relativistic liquid bodies
Todd A. Oliynyk
2014-12-30
We demonstrate that a sufficiently smooth solution of the relativistic Euler equations that represents a dynamical compact liquid body, when expressed in Lagrangian coordinates, determines a solution to a system of non-linear wave equations with acoustic boundary conditions. Using this wave formulation, we prove that these solutions satisfy energy estimates without loss of derivatives. Importantly, our wave formulation does not require the liquid to be irrotational, and the energy estimates do not rely on divergence and curl type estimates employed in previous works.
A priori estimates for relativistic liquid bodies
Oliynyk, Todd A
2015-01-01
We demonstrate that a sufficiently smooth solution of the relativistic Euler equations that represents a dynamical compact liquid body, when expressed in Lagrangian coordinates, determines a solution to a system of non-linear wave equations with acoustic boundary conditions. Using this wave formulation, we prove that these solutions satisfy energy estimates without loss of derivatives. Importantly, our wave formulation does not require the liquid to be irrotational, and the energy estimates do not rely on divergence and curl type estimates employed in previous works.
Parameter estimation with Sandage-Loeb test
Jia-Jia Geng; Jing-Fei Zhang; Xin Zhang
2014-11-28
The Sandage-Loeb (SL) test directly measures the expansion rate of the universe in the redshift range of $2\\lesssim z\\lesssim 5$ by detecting redshift drift in the spectra of Lyman-$\\alpha$ forest of distant quasars. We discuss the impact of the future SL test data on parameter estimation for the $\\Lambda$CDM, the $w$CDM, and the $w_0w_a$CDM models. To avoid the potential inconsistency with other observational data, we take the best-fitting dark energy model constrained by the current observations as the fiducial model to produce 30 mock SL test data. The SL test data provide an important supplement to the other dark energy probes, since they are extremely helpful in breaking the existing parameter degeneracies. We show that the strong degeneracy between $\\Omega_m$ and $H_0$ in all the three dark energy models is well broken by the SL test. Compared to the current combined data of type Ia supernovae, baryon acoustic oscillation, cosmic microwave background, and Hubble constant, the 30-yr observation of SL test could improve the constraints on $\\Omega_m$ and $H_0$ by more than 60\\% for all the three models. But the SL test can only moderately improve the constraint on the equation of state of dark energy. We show that a 30-yr observation of SL test could help improve the constraint on constant $w$ by about 25\\%, and improve the constraints on $w_0$ and $w_a$ by about 20\\% and 15\\%, respectively. We also quantify the constraining power of the SL test in the future high-precision joint geometric constraints on dark energy. The mock future supernova and baryon acoustic oscillation data are simulated based on the space-based project JDEM. We find that the 30-yr observation of SL test would help improve the measurement precision of $\\Omega_m$, $H_0$, and $w_a$ by more than 70\\%, 20\\%, and 60\\%, respectively, for the $w_0w_a$CDM model.
Parameter estimation with Sandage-Loeb test
Geng, Jia-Jia; Zhang, Jing-Fei; Zhang, Xin E-mail: jfzhang@mail.neu.edu.cn
2014-12-01
The Sandage-Loeb (SL) test directly measures the expansion rate of the universe in the redshift range of 2 ?< z ?< 5 by detecting redshift drift in the spectra of Lyman-? forest of distant quasars. We discuss the impact of the future SL test data on parameter estimation for the ?CDM, the wCDM, and the w{sub 0}w{sub a}CDM models. To avoid the potential inconsistency with other observational data, we take the best-fitting dark energy model constrained by the current observations as the fiducial model to produce 30 mock SL test data. The SL test data provide an important supplement to the other dark energy probes, since they are extremely helpful in breaking the existing parameter degeneracies. We show that the strong degeneracy between ?{sub m} and H{sub 0} in all the three dark energy models is well broken by the SL test. Compared to the current combined data of type Ia supernovae, baryon acoustic oscillation, cosmic microwave background, and Hubble constant, the 30-yr observation of SL test could improve the constraints on ?{sub m} and H{sub 0} by more than 60% for all the three models. But the SL test can only moderately improve the constraint on the equation of state of dark energy. We show that a 30-yr observation of SL test could help improve the constraint on constant w by about 25%, and improve the constraints on w{sub 0} and w{sub a} by about 20% and 15%, respectively. We also quantify the constraining power of the SL test in the future high-precision joint geometric constraints on dark energy. The mock future supernova and baryon acoustic oscillation data are simulated based on the space-based project JDEM. We find that the 30-yr observation of SL test would help improve the measurement precision of ?{sub m}, H{sub 0}, and w{sub a} by more than 70%, 20%, and 60%, respectively, for the w{sub 0}w{sub a}CDM model.
Motoring of a Flexible Resonant Engine to Estimate Associated Damping Losses
Collins, Gary S.
Motoring of a Flexible Resonant Engine to Estimate Associated Damping Losses S.M. Post, B.S. Preetham, C.D. Richards Washington State University School of Mechanical and Materials Engineering. Introduction The performance of internal combustion engines is limited by heat losses, friction losses
Detecting Food-Borne The Centers for Disease Control and Prevention estimates that
Hill, Wendell T.
Detecting Food-Borne Pathogens The Centers for Disease Control and Prevention estimates that pathogenic microorganisms in food kill 5,000 people in the United States each year and sicken as many as 76 million people. Only a small portion of the food headed to market is tested for bacteria and viruses, yet
Outlier rejection by oriented tracks to aid pose estimation from video
Koschan, Andreas
Ferris Hall, Knoxville, TN 37996, United States b U.S. Army RDECOM Tank-Automotive Research, Development Motion for a mobile sensing platform. Typical methods for pose estimation require point correspondences these mismatches for scenes generated by a mobile scanning platform. The algorithm utilizes the motion
Scanlon, Bridget R.
low-level and high-level radioactive waste disposal sites in the United States, and groundwater,000 to 105,000 years to 25 m depth) were generally corroborated by residence times estimated from radioactive uncertainties in transport processes, Cl input, and Cl output. Although the CMB approach assumes one
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
Modeling Estimated Personnel Needs for a Potential Foot and Mouth Disease Outbreak
Simmons, K; Hullinger, P
2008-01-29
Foot and Mouth disease (FMD) is a highly infectious and contagious viral disease affecting cloven-hoofed livestock that was last detected in the United States (US) in 1929. The prevalence of FMD in other countries, as well as the current potential for this virus to be used as a form of agroterrorism, has made preparations for a potential FMD outbreak a national priority. To assist in the evaluation of national preparedness, all 50 states were surveyed via e-mail, telephone and web search to obtain emergency response plans for FMD or for foreign animal diseases in general. Information from 33 states was obtained and analyzed for estimates of personnel resources needed to respond to an outbreak. These estimates were consolidated and enhanced to create a tool that could be used by individual states to better understand the personnel that would be needed to complete various tasks over time during an outbreak response. The estimates were then coupled, post-processing, to the output from FMD outbreaks simulated in California using the Multiscale Epidemiological/Economic Simulation and Analysis (MESA) model at Lawrence Livermore National Laboratory to estimate the personnel resource demands, by task, over the course of an outbreak response.
Current Estimates for HIV-1 Production Imply Rapid Viral Clearance in Lymphoid Tissues
de Boer, Rob J.
, Los Alamos, New Mexico, United States of America Abstract It has recently been estimated that a single for many months. It has also been difficult to reconcile the vast difference in the rates at which to reconcile these seemingly contradictory observations by considering the virion clearance rate in various
Seismic Intensity Estimation of Tall Buildings in Earthquake Early Warning System
Greer, Julia R.
prediction equation (GMPE) that predicts response spectral amplitude from knowledge of earthquake magnitudeSeismic Intensity Estimation of Tall Buildings in Earthquake Early Warning System M. H. Cheng & T. W. Graves U.S. Geological Survey, USA SUMMARY: In California, United States, an earthquake early
Improving thermodynamic property estimation through volume translation
Frey, Kurt, Sc. D. Massachusetts Institute of Technology
2010-01-01
Steady state process simulation is used throughout the chemical industry to guide development and help reduce uncertainty and risk. Volumetric equations of state (EOS)s are the most robust of the numerous methods available ...
U.S. Uranium Reserves Estimates
Gasoline and Diesel Fuel Update (EIA)
1. U.S. Forward-Cost Uranium Reserves by State, Year-End 2008 State 50lb 100lb Ore (million tons) Gradea (%) U3O8 (million lbs) Ore (million tons) Gradea (%) U3O8 (million lbs)...
A simple method to estimate interwell autocorrelation
Pizarro, J.O.S.; Lake, L.W.
1997-08-01
The estimation of autocorrelation in the lateral or interwell direction is important when performing reservoir characterization studies using stochastic modeling. This paper presents a new method to estimate the interwell autocorrelation based on parameters, such as the vertical range and the variance, that can be estimated with commonly available data. We used synthetic fields that were generated from stochastic simulations to provide data to construct the estimation charts. These charts relate the ratio of areal to vertical variance and the autocorrelation range (expressed variously) in two directions. Three different semivariogram models were considered: spherical, exponential and truncated fractal. The overall procedure is demonstrated using field data. We find that the approach gives the most self-consistent results when it is applied to previously identified facies. Moreover, the autocorrelation trends follow the depositional pattern of the reservoir, which gives confidence in the validity of the approach.
Nonlinear parameter estimation in parallel computing environments
Li, Jie
1996-01-01
Paragon supercomputer. We use a two-dimensional permeability estimation problem as the example to test and demonstrate the usage of the parallel PEST. An existing simulator program called US3D, which solves the three-dimensional groudwater flow...
March 12, 2015 Parametric estimation in
Di Girolami, Cristina
Tahar Department of Mathematics University of Abou Bekr Belkaid Tlemcen, Algeria #12;Consider Estimator of is known We observe a trajectory (Xt, t [0, T]) of (1) Consider the statistic : for t > 0
Updating MIT's cost estimation model for shipbuilding
Smith, Matthew B., Lieutenant, junior grade
2008-01-01
This thesis project will update the MIT ship cost estimation model by combining the two existing models (the Basic Military Training School (BMTS) Cost Model and the MIT Math Model) in order to develop a program that can ...
Preliminary CBECS End-Use Estimates
U.S. Energy Information Administration (EIA) Indexed Site
For the past three CBECS (1989, 1992, and 1995), we used a statistically-adjusted engineering (SAE) methodology to estimate end-use consumption. The core of the SAE methodology...
BPA Metering Services Editing and Estimating Procedures
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
be used to scale the estimated interval data with a shape projection applied. If SCADA data is available and has been mapped to the point of metering, it may be used for...
Perceptually inspired image estimation and enhancement
Li, Yuanzhen, Ph. D. Massachusetts Institute of Technology
2009-01-01
In this thesis, we present three image estimation and enhancement algorithms inspired by human vision. In the first part of the thesis, we propose an algorithm for mapping one image to another based on the statistics of a ...
Minimizing Biases in Radar Precipitation Estimates
McRoberts, Douglas B
2014-12-08
The demand for real-time drought information in recent years led to the development of a suite of objective drought indicators that relies on the high-resolution Stage IV precipitation estimates that are produced each day ...
ORIGINAL CONTRIBUTION Implementing Diagnostic Criteria and Estimating
ORIGINAL CONTRIBUTION Implementing Diagnostic Criteria and Estimating Frequency of Mild Cognitive criteria. Objectives: To operationalize diagnostic criteria for MCI and examine the frequency of MCI in ethnically and lin- guistically diverse elders (individuals older than 65 years). Design: Prospective
Speed estimation using single loop detector outputs
Ye, Zhirui
2009-05-15
that speed estimation is a nonlinear system under various traffic conditions. Thus, a methodology of using Unscented Kalman Filter (UKF) is first proposed for such a system. The UKF is a parametric filtering technique that is suitable for nonlinear problems...
Buildings GHG Mitigation Estimator Worksheet, Version 1
Broader source: Energy.gov [DOE]
Xcel document describes Version 1 of the the Buildings GHG Mitigation Estimator tool. This tool assists federal agencies in estimating the greenhouse gas mitigation reduction from implementing energy efficiency measures across a portfolio of buildings. It is designed to be applied to groups of office buildings, for example, at a program level (regional or site) that can be summarized at the agency level. While the default savings and cost estimates apply to office buildings, users can define their own efficiency measures, costs, and savings estimates for inclusion in the portfolio assessment. More information on user-defined measures can be found in Step 2 of the buildings emission reduction guidance. The output of this tool is a prioritized set of activities that can help the agency to achieve its greenhouse gas reduction targets most cost-effectively.
Broader source: Energy.gov [DOE]
This simple spreadsheet model estimates either the flow rate required to produce a specified level of power output, or the power output that can be produced from a specified flow rate.
Fracture compliance estimation using borehole tube waves
Bakku, Sudhish Kumar
We tested two models, one for tube-wave generation and the other for tube-wave attenuation at a fracture intersecting a borehole that can be used to estimate fracture compliance, fracture aperture, and lateral extent. In ...
U.S. Uranium Reserves Estimates
Gasoline and Diesel Fuel Update (EIA)
Methodology The U.S. uranium ore reserves reported by EIA for specific MFC categories represent the sums of quantities estimated to occur in known deposits on properties where data...
Lensed CMB simulation and parameter estimation
Antony Lewis
2010-11-16
Modelling of the weak lensing of the CMB will be crucial to obtain correct cosmological parameter constraints from forthcoming precision CMB anisotropy observations. The lensing affects the power spectrum as well as inducing non-Gaussianities. We discuss the simulation of full sky CMB maps in the weak lensing approximation and describe a fast numerical code. The series expansion in the deflection angle cannot be used to simulate accurate CMB maps, so a pixel remapping must be used. For parameter estimation accounting for the change in the power spectrum but assuming Gaussianity is sufficient to obtain accurate results up to Planck sensitivity using current tools. A fuller analysis may be required to obtain accurate error estimates and for more sensitive observations. We demonstrate a simple full sky simulation and subsequent parameter estimation at Planck-like sensitivity. The lensed CMB simulation and parameter estimation codes are publicly available.
Estimates of Oil Reserves Jean Laherrere
O'Donnell, Tom
Estimates of Oil Reserves Jean Laherrere e-mail: jean.laherrere@wanadoo.fr sites: http oil will solve the present problems on welfare, retirement and they would dearly love to see the reserves of oil
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 ...
Information Fusion for Improved Motion Estimation
Peacock, Andrew M
Motion Estimation is an important research field with many commercial applications including surveillance, navigation, robotics, and image compression. As a result, the field has received a great deal of attention and ...
Budget estimates, fiscal year 1997. Volume 12
NONE
1996-03-01
This report contains the fiscal year budget justification to Congress. The budget provides estimates for salaries and expenses and for the Office of the Inspector General for fiscal year 1997.
Chapter 3: FY 2005 benefits estimates
None, None
2009-01-18
The Office of Energy Efficiency and Renewable Energy (EERE) estimates expected benefits for its overall portfolio and for each of its 11 programs. Benefits for the FY 2005 budget request are estimated for the midterm (2010-2025) and long term (2030-2050). Two separate models suited to these periods are employed—NEMS-GPRA05 for the midterm and MARKAL-GPRA05 for the long term.
Chapter 3: FY 2006 benefits estimates
None, None
2009-01-18
The Office of Energy Efficiency and Renewable Energy (EERE) estimates expected benefits for its overall portfolio and for each of its 11 programs. Benefits for the FY 2006 budget request are estimated for the midterm (2010-2025) and long term (2030-2050). Two separate models suited to these periods are employed–NEMS-GPRA06 for the midterm and MARKAL-GPRA06 for the long term.
Estimating diesel engine performance by indirect methods
McKiernan, Michael
1987-01-01
ESTIMATING DIESEL ENGINE PERFORMANCE BY INDIRECT METHODS A Thesis by MICHAEL MCKIERNAN Submitted to the Graduate College of Texas ASM University in partial fulfillment of the requirements of the degree of MASTER OF SCIENCE May 1987 Major... Subject: Agricultural Engineering ESTIMATING DIESEL ENGINE PERFORMANCE BY INDIRECT NETHODS A Thesis by NICHAEL MCKIERNAN Approved as to style and content by: i A. Stout (Chairman of Comittee) ephen W. Searcy (Member) Thomas R. La (Nember...
Extragalactic Water Masers, Geometric Estimation of H_o and Characterization of Dark Energy
L. J. Greenhill
2004-09-10
High precision estimation of the equation of state of dark energy depends on constraints external to analyses of Cosmic Microwave Background fluctuations. A geometric estimation of the local expansion rate, H_o, would provide the most direct and robust constraint. Traditional techniques to estimate H_o have depended on observations of standard candles for which systematic effects can be 10% or more. Observations of water maser sources in the accretion disks that feed the central engines of active galaxies enable simplified, robust, and largely geometric analyses. Many thousand maser sources will be discovered in studies with the SKA, owing to its great sensitivity. Spectroscopic monitoring and interferometric mapping - with intercontinental baselines - will allow estimation of H_o to 1% and possibly better.
Russell, Darrell James
1995-01-01
In his book, Anarchy , State, and Utopia, Robert Nozick argues that the only state that can be justified is the minimal state, a state limited to providing protection for all its citizens. Nozick explains how a minimal state could naturally develop...
Top-down methane emissions estimates for the San Francisco Bay Area from 1990 to 2012
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Fairley, David; Fischer, Marc L.
2015-01-30
Methane is a potent greenhouse gas (GHG) that is now included in both California State and San Francisco Bay Area (SFBA) bottom-up emission inventories as part of California's effort to reduce anthropogenic GHG emissions. Here we provide a top-down estimate of methane (CH4) emissions from the SFBA by combining atmospheric measurements with the comparatively better estimated emission inventory for carbon monoxide (CO). Local enhancements of CH4 and CO are estimated using measurements from 14 air quality sites in the SFBA combined together with global background measurements. Mean annual CH4 emissions are estimated from the product of Bay Area Air Qualitymore »Management District (BAAQMD) emission inventory CO and the slope of ambient local CH4 to CO. The resulting top-down estimates of CH4 emissions are found to decrease slightly from 1990 to 2012, with a mean value of 240 ± 60 GgCH4 yr?¹ (at 95% confidence) in the most recent (2009–2012) period, and correspond to reasonably a constant factor of 1.5–2.0 (at 95% confidence) times larger than the BAAQMD CH4 emission inventory. However, we note that uncertainty in these emission estimates is dominated by the variation in CH4:CO enhancement ratios across the observing sites and we expect the estimates could represent a lower-limit on CH4 emissions because BAAQMD monitoring sites focus on urban air quality and may be biased toward CO rather than CH4 sources.« less
Estimated recharge rates at the Hanford Site
Fayer, M.J.; Walters, T.B.
1995-02-01
The Ground-Water Surveillance Project monitors the distribution of contaminants in ground water at the Hanford Site for the U.S. Department of Energy. A subtask called {open_quotes}Water Budget at Hanford{close_quotes} was initiated in FY 1994. The objective of this subtask was to produce a defensible map of estimated recharge rates across the Hanford Site. Methods that have been used to estimate recharge rates at the Hanford Site include measurements (of drainage, water contents, and tracers) and computer modeling. For the simulations of 12 soil-vegetation combinations, the annual rates varied from 0.05 mm/yr for the Ephrata sandy loam with bunchgrass to 85.2 mm/yr for the same soil without vegetation. Water content data from the Grass Site in the 300 Area indicated that annual rates varied from 3.0 to 143.5 mm/yr during an 8-year period. The annual volume of estimated recharge was calculated to be 8.47 {times} 10{sup 9} L for the potential future Hanford Site (i.e., the portion of the current Site bounded by Highway 240 and the Columbia River). This total volume is similar to earlier estimates of natural recharge and is 2 to 10x higher than estimates of runoff and ground-water flow from higher elevations. Not only is the volume of natural recharge significant in comparison to other ground-water inputs, the distribution of estimated recharge is highly skewed to the disturbed sandy soils (i.e., the 200 Areas, where most contaminants originate). The lack of good estimates of the means and variances of the supporting data (i.e., the soil map, the vegetation/land use map, the model parameters) translates into large uncertainties in the recharge estimates. When combined, the significant quantity of estimated recharge, its high sensitivity to disturbance, and the unquantified uncertainty of the data and model parameters suggest that the defensibility of the recharge estimates should be improved.
San Francisco State University
Ovchinnikov, Sergei
San Francisco State University Multi-Hazard Emergency Operations Plan August 2014 Preparedness Response Recovery Mitigation #12;BLANK PAGE #12;Preface #12;BLANK PAGE #12;San Francisco State University.........................................................................................................vi Profile of San Francisco State University
United States Department of Agriculture Forest Service Pacific Southwest Forest and Range symposium dealing with this subject in the western United States, the papers presented address current ........................................................................................................................................ 1 Annosus Root Disease in Europe and the Southeastern United States: Occurrence, Research
Are Quantum States Subjective?
R. K. Pradhan
2012-02-22
The subjective nature of the quantum states is brought out and it is argued that the objective state assignment is subsequent to the subjective state of the observer regarding his state of knowledge about the system. The collapse postulate is examined in detail to bring out the inherent subjectivity of the quantum state. The role of doubt and faith in quantum state assignment is examined.
Kurapov, Alexander
A United States Department of Agriculture Forest Service Pacific Northwest Research Station General, land management, carbon sequestration, carbon markets, United States. #12;ii Executive Summary
Wang, Changlu
United States Department of Agriculture Rural Business- Cooperative Service Research Report 157, concentration, globalization, agency theory Cooperatives in a Changing Global Food System United States
Building unbiased estimators from non-Gaussian likelihoods with application to shear estimation
Madhavacheril, Mathew S.; Sehgal, Neelima; McDonald, Patrick; Slosar, Anže E-mail: pvmcdonald@lbl.gov E-mail: anze@bnl.gov
2015-01-01
We develop a general framework for generating estimators of a given quantity which are unbiased to a given order in the difference between the true value of the underlying quantity and the fiducial position in theory space around which we expand the likelihood. We apply this formalism to rederive the optimal quadratic estimator and show how the replacement of the second derivative matrix with the Fisher matrix is a generic way of creating an unbiased estimator (assuming choice of the fiducial model is independent of data). Next we apply the approach to estimation of shear lensing, closely following the work of Bernstein and Armstrong (2014). Our first order estimator reduces to their estimator in the limit of zero shear, but it also naturally allows for the case of non-constant shear and the easy calculation of correlation functions or power spectra using standard methods. Both our first-order estimator and Bernstein and Armstrong's estimator exhibit a bias which is quadratic in true shear. Our third-order estimator is, at least in the realm of the toy problem of Bernstein and Armstrong, unbiased to 0.1% in relative shear errors ?g/g for shears up to |g|=0.2.
Building unbiased estimators from non-gaussian likelihoods with application to shear estimation
Madhavacheril, Mathew S.; Slosar, Anze; McDonald, Patrick; Sehgal, Neelima
2015-01-01
We develop a general framework for generating estimators of a given quantity which are unbiased to a given order in the difference between the true value of the underlying quantity and the fiducial position in theory space around which we expand the likelihood. We apply this formalism to rederive the optimal quadratic estimator and show how the replacement of the second derivative matrix with the Fisher matrix is a generic way of creating an unbiased estimator (assuming choice of the fiducial model is independent of data). Next we apply the approach to estimation of shear lensing, closely following the work of Bernstein and Armstrong (2014). Our first order estimator reduces to their estimator in the limit of zero shear, but it also naturally allows for the case of non-constant shear and the easy calculation of correlation functions or power spectra using standard methods. Both our first-order estimator and Bernstein and Armstrong’s estimator exhibit a bias which is quadratic in true shear. Our third-order estimator is, at least in the realm of the toy problem of Bernstein and Armstrong, unbiased to 0.1% in relative shear errors ?g/g for shears up to |g| = 0.2.
Building unbiased estimators from non-gaussian likelihoods with application to shear estimation
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Madhavacheril, Mathew S.; McDonald, Patrick; Sehgal, Neelima; Slosar, Anze
2015-01-15
We develop a general framework for generating estimators of a given quantity which are unbiased to a given order in the difference between the true value of the underlying quantity and the fiducial position in theory space around which we expand the likelihood. We apply this formalism to rederive the optimal quadratic estimator and show how the replacement of the second derivative matrix with the Fisher matrix is a generic way of creating an unbiased estimator (assuming choice of the fiducial model is independent of data). Next we apply the approach to estimation of shear lensing, closely following the workmore »of Bernstein and Armstrong (2014). Our first order estimator reduces to their estimator in the limit of zero shear, but it also naturally allows for the case of non-constant shear and the easy calculation of correlation functions or power spectra using standard methods. Both our first-order estimator and Bernstein and Armstrong’s estimator exhibit a bias which is quadratic in true shear. Our third-order estimator is, at least in the realm of the toy problem of Bernstein and Armstrong, unbiased to 0.1% in relative shear errors ?g/g for shears up to |g| = 0.2.« less
Evaluating the complementary relationship for estimating evapotranspiration from arid shrublands
Szilagyi, Jozsef
Evaluating the complementary relationship for estimating evapotranspiration from arid shrublands J supplies, accurate estimates of evapotranspiration (LE) from arid shrublands of the Southwestern United for estimating regional LE in arid shrubland environments. Our observational evidence supports the idea
Phase Estimation with Non-Unitary Interferometers: Information as a Metric
Thomas B. Bahder
2011-03-02
Determining the phase in one arm of a quantum interferometer is discussed taking into account the three non-ideal aspects in real experiments: non-deterministic state preparation, non-unitary state evolution due to losses during state propagation, and imperfect state detection. A general expression is written for the probability of a measurement outcome taking into account these three non-ideal aspects. As an example of applying the formalism, the classical Fisher information and fidelity (Shannon mutual information between phase and measurements) are computed for few-photon Fock and N00N states input into a lossy Mach-Zehnder interferometer. These three non-ideal aspects lead to qualitative differences in phase estimation, such as a decrease in fidelity and Fisher information that depends on the true value of the phase.
Fourier Analytic Approach to Phase Estimation
Hiroshi Imai; Masahito Hayashi
2008-10-31
For a unified analysis on the phase estimation, we focus on the limiting distribution. It is shown that the limiting distribution can be given by the absolute square of the Fourier transform of $L^2$ function whose support belongs to $[-1,1]$. Using this relation, we study the relation between the variance of the limiting distribution and its tail probability. As our result, we prove that the protocol minimizing the asymptotic variance does not minimize the tail probability. Depending on the width of interval, we derive the estimation protocol minimizing the tail probability out of a given interval. Such an optimal protocol is given by a prolate spheroidal wave function which often appears in wavelet or time-limited Fourier analysis. Also, the minimum confidence interval is derived with the framework of interval estimation that assures a given confidence coefficient.
Optimal error estimates for corrected trapezoidal rules
Talvila, Erik
2012-01-01
Corrected trapezoidal rules are proved for $\\int_a^b f(x)\\,dx$ under the assumption that $f"\\in L^p([a,b])$ for some $1\\leq p\\leq\\infty$. Such quadrature rules involve the trapezoidal rule modified by the addition of a term $k[f'(a)-f'(b)]$. The coefficient $k$ in the quadrature formula is found that minimizes the error estimates. It is shown that when $f'$ is merely assumed to be continuous then the optimal rule is the trapezoidal rule itself. In this case error estimates are in terms of the Alexiewicz norm. This includes the case when $f"$ is integrable in the Henstock--Kurzweil sense or as a distribution. All error estimates are shown to be sharp for the given assumptions on $f"$. It is shown how to make these formulas exact for all cubic polynomials $f$. Composite formulas are computed for uniform partitions.
Estimating exposure of terrestrial wildlife to contaminants
Sample, B.E.; Suter, G.W. II
1994-09-01
This report describes generalized models for the estimation of contaminant exposure experienced by wildlife on the Oak Ridge Reservation. The primary exposure pathway considered is oral ingestion, e.g. the consumption of contaminated food, water, or soil. Exposure through dermal absorption and inhalation are special cases and are not considered hereIN. Because wildlife mobile and generally consume diverse diets and because environmental contamination is not spatial homogeneous, factors to account for variation in diet, movement, and contaminant distribution have been incorporated into the models. To facilitate the use and application of the models, life history parameters necessary to estimate exposure are summarized for 15 common wildlife species. Finally, to display the application of the models, exposure estimates were calculated for four species using data from a source operable unit on the Oak Ridge Reservation.
Ben-Zion, Yehuda
process. Earthquake forecast/prediction The forecast or predic- tion of an earthquake is a statement about question in earthquake science is whether earthquake prediction is possible. Related issues include the following: Can a prediction of earthquakes solely based on the emergence of seismicity patterns be re
State Energy Risk Assessment Initiative - State Energy Risk Profiles...
Mission Energy Infrastructure Modeling and Analysis State Energy Risk Assessment Initiative - State Energy Risk Profiles State Energy Risk Assessment Initiative - State...
Estimating vehicle height using homographic projections
Cunningham, Mark F; Fabris, Lorenzo; Gee, Timothy F; Ghebretati, Jr., Frezghi H; Goddard, James S; Karnowski, Thomas P; Ziock, Klaus-peter
2013-07-16
Multiple homography transformations corresponding to different heights are generated in the field of view. A group of salient points within a common estimated height range is identified in a time series of video images of a moving object. Inter-salient point distances are measured for the group of salient points under the multiple homography transformations corresponding to the different heights. Variations in the inter-salient point distances under the multiple homography transformations are compared. The height of the group of salient points is estimated to be the height corresponding to the homography transformation that minimizes the variations.
A GEOGRAPHIC ANALYSIS OF PROSTATE CANCER MORTALITY IN THE UNITED STATES, 197089
Wright, Dawn Jeannine
rates,2 with 30,200 estimated deaths in the United States during 2002.3 Over time the mortality rate of cancer mortality in the United States revealed that prostate cancer mortality rates were elevated among cancer deaths (National Center for Health Statistics) for each county in the contiguous United States
Scalable Ensemble Learning and Computationally Efficient Variance Estimation
LeDell, Erin
2015-01-01
Metalearning 5 Computationally Efficient Variance Estimation12] Peter J. Bickel et al. Efficient and adaptive estimationJ. Wainwright. “Communication-Efficient Algorithms for
Energy savings estimates and cost benefit calculations for high...
Office of Scientific and Technical Information (OSTI)
Energy savings estimates and cost benefit calculations for high performance relocatable classrooms Citation Details In-Document Search Title: Energy savings estimates and cost...
How to Estimate the Value of Service Reliability Improvements
Sullivan, Michael J.
2010-01-01
to apply outage cost estimates to a smart grid investmentapply these outage cost estimates to a smart grid investmentoutage costs with and without a smart grid investment –
An Analytical Approach for Tail-Pipe Emissions Estimation with...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
An Analytical Approach for Tail-Pipe Emissions Estimation with Coupled Engine and Aftertreatment System An Analytical Approach for Tail-Pipe Emissions Estimation with Coupled...
Methodology for Estimating Reductions of GHG Emissions from Mosaic...
Methodology for Estimating Reductions of GHG Emissions from Mosaic Deforestation Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Methodology for Estimating Reductions of...
Report Now Available: DC Microgrids Scoping Study--Estimate of...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Report Now Available: DC Microgrids Scoping Study--Estimate of Technical and Economic Benefits (March 2015) Report Now Available: DC Microgrids Scoping Study--Estimate of Technical...
Radiological Source Term Estimates for the February 14, 2014...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Radiological Source Term Estimates for the February 14, 2014 WIPP Release Event Radiological Source Term Estimates for the February 14, 2014 WIPP Release Event This document was...
Statistical Surrogate Models for Estimating Probability of High...
Office of Scientific and Technical Information (OSTI)
Statistical Surrogate Models for Estimating Probability of High-Consequence Climate Change. Citation Details In-Document Search Title: Statistical Surrogate Models for Estimating...
Estimating the Benefits and Costs of Distributed Energy Technologies...
Broader source: Energy.gov (indexed) [DOE]
- Carl Imhoff, PNNL More Documents & Publications Estimating the Benefits and Costs of Distributed Energy Technologies Workshop - Day 1 Presentations Estimating the...
Summary and Presentations from "Estimating the Benefits and Costs...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Summary and Presentations from "Estimating the Benefits and Costs of Distributed Energy Technologies" Workshop Now Available Summary and Presentations from "Estimating the Benefits...
Estimating the Benefits and Costs of Distributed Energy Technologies...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Estimating the Benefits and Costs of Distributed Energy Technologies Workshop - Agenda and Summary Estimating the Benefits and Costs of Distributed Energy Technologies Workshop -...
Estimating Costs and Efficiency of Storage, Demand, and Heat...
Office of Environmental Management (EM)
Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters A water heater's...
Estimating Appliance and Home Electronic Energy Use | Department...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
how much electricity your appliances and home electronics use: The Energy Guide Label, which shows the estimated yearly operating cost and estimated yearly electricity use...
Estimating Costs and Efficiency of Storage, Demand, and Heat...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters March 10, 2015 -...
Direct Hydrogen PEMFC Manufacturing Cost Estimation for Automotive...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Direct Hydrogen PEMFC Manufacturing Cost Estimation for Automotive Applications: Fuel Cell Tech Team Review Direct Hydrogen PEMFC Manufacturing Cost Estimation for Automotive...
Process for estimating likelihood and confidence in post detonation nuclear forensics.
Darby, John L.; Craft, Charles M.
2014-07-01
Technical nuclear forensics (TNF) must provide answers to questions of concern to the broader community, including an estimate of uncertainty. There is significant uncertainty associated with post-detonation TNF. The uncertainty consists of a great deal of epistemic (state of knowledge) as well as aleatory (random) uncertainty, and many of the variables of interest are linguistic (words) and not numeric. We provide a process by which TNF experts can structure their process for answering questions and provide an estimate of uncertainty. The process uses belief and plausibility, fuzzy sets, and approximate reasoning.
Quantum estimation of physical parameters in the spacetime of a rotating planet
Jan Kohlrus; David Edward Bruschi; Jorma Louko; Ivette Fuentes
2015-11-13
We employ quantum estimation techniques to obtain ultimate bounds on precision measurements of gravitational parameters of the spacetime outside a rotating planet. Spacetime curvature affects the frequency distribution of a photon sent from Earth to a satellite, and this change encodes parameters of the spacetime. This allows us to achieve precise measurements of parameters of Earth such as its Schwarzschild radius and equatorial angular velocity. We then are able to provide a comparison with the state-of-the-art in parameter estimation obtained through classical means. Extensions and future directions are also discussed.
Quantum estimation of physical parameters in the spacetime of a rotating planet
Kohlrus, Jan; Louko, Jorma; Fuentes, Ivette
2015-01-01
We employ quantum estimation techniques to obtain ultimate bounds on precision measurements of gravitational parameters of the spacetime outside a rotating planet. Spacetime curvature affects the frequency distribution of a photon sent from Earth to a satellite, and this change encodes parameters of the spacetime. This allows us to achieve precise measurements of parameters of Earth such as its Schwarzschild radius and equatorial angular velocity. We then are able to provide a comparison with the state-of-the-art in parameter estimation obtained through classical means. Extensions and future directions are also discussed.
A New Maximum-Likelihood Change Estimator for Two-Pass SAR Coherent Change Detection.
Wahl, Daniel E.; Yocky, David A.; Jakowatz, Charles V,
2014-09-01
In this paper, we derive a new optimal change metric to be used in synthetic aperture RADAR (SAR) coherent change detection (CCD). Previous CCD methods tend to produce false alarm states (showing change when there is none) in areas of the image that have a low clutter-to-noise power ratio (CNR). The new estimator does not suffer from this shortcoming. It is a surprisingly simple expression, easy to implement, and is optimal in the maximum-likelihood (ML) sense. The estimator produces very impressive results on the CCD collects that we have tested.
Collins, Gary S.
Using MODIS FRP Values to Estimate Forest Fire PM 2.5 Emissions Riley Start, Brian Lamb, Brian Potter, Alistair Smith Forest and Rangeland Measurements Laboratory, College of Natural Resources, Washington State University USDA Forest Service 1. Introduction Accurate estimates of PM 2.5 (particulate
Stukey, Jared D.
2011-02-22
, individual bole height (IBH), diameter at breast height (DBH), length of crown (CrHT), and age for use in TAMBEETLE; (2) to estimate individual tree age using lidar-estimated height and site index provided by the United States Department of Agriculture (USDA...
Colorado State University Colorado State University
to promote the liberal and practical education of the industrial classes in the several pursuits medicine. Colorado State University has a unique mission in the state of Colorado. The land-grant concept global environment, and has a commitment to excellence in international education in all its
Empowering Developers to Estimate App Energy Consumption
Shihada, Basem
are not even aware of the amount of energy their app consumes un- der a typical usage pattern. While they couldEmpowering Developers to Estimate App Energy Consumption Radhika Mittal , Aman Kansal , Ranveer on mobile devices. However, it is difficult for app developers to mea- sure the energy used by their apps
Guidelines for Estimating Unmetered Landscaping Water Use
McMordie Stoughton, Kate
2010-07-28
The document lays-out step by step instructions to estimate landscaping water using two alternative approaches: evapotranspiration method and irrigation audit method. The evapotranspiration method option calculates the amount of water needed to maintain a healthy turf or landscaped area for a given location based on the amount of water transpired and evaporated from the plants. The evapotranspiration method offers a relatively easy “one-stop-shop” for Federal agencies to develop an initial estimate of annual landscape water use. The document presents annual irrigation factors for 36 cities across the U.S. that represents the gallons of irrigation required per square foot for distinct landscape types. By following the steps outlined in the document, the reader can choose a location that is a close match their location and landscape type to provide a rough estimate of annual irrigation needs without the need to research specific data on their site. The second option presented in the document is the irrigation audit method, which is the physical measurement of water applied to landscaped areas through irrigation equipment. Steps to perform an irrigation audit are outlined in the document, which follow the Recommended Audit Guidelines produced by the Irrigation Association.[5] An irrigation audit requires some knowledge on the specific procedures to accurately estimate how much water is being consumed by the irrigation equipment.
BAYESIAN ESTIMATION OF FUEL ECONOMY POTENTIAL
Berger, Jim
BAYESIAN ESTIMATION OF FUEL ECONOMY POTENTIAL DUE TO TECHNOLOGY IMPROVEMENTS by Richard W. Andrews comments. 4 #12; 1. INTRODUCTION 1.1 Background and Overview In 1975 the Energy Policy and Conservation Act average fuel economy (CAFE) standard. This legislation separates each manufacturer's production
Distributed Sensing and Estimation Under Communication Constraints
Mostofi, Yasamin
. Murray University of New Mexico California Institute of Technology Abstract-- In this paper we consider the impact of imperfect communication links on distributed sensing and estimation in mobile networks. First a wide range of applications such as environmental monitoring, surveillance and security, smart homes
ESTIMATES OF ADDITIONAL ACHIEVABLE ENERGY SAVINGS
by assumptions related to economic growth, changes in electricity and natural gas rates, and a host of inputs Manager DEMAND ANALYSIS OFFICE Sylvia Bender Deputy Director ELECTRICITY SUPPLY ANALYSIS DIVISION's demand forecast. #12;2 utility level.4 AAEE electricity savings were estimated for the Pacific Gas
PRELIMINARY TIME ESTIMATES FOR CORING OPERATIONS
PRELIMINARY TIME ESTIMATES FOR CORING OPERATIONS Ocean Drilling Program Texas A&M University portion requires the written consent of the Director, Ocean Drilling Program, Texas A&M University, College Station, Texas 77843-3469, as well as appropriate acknowledgment of this source. Technical Note 1
Position and velocity estimation through acceleration measurements
Boyer, Edmond
from inertial sensors inherently causes errors to grow with time, commonly known as integration drift/position estimation based on inertial sensors requires some addi- tional source of information providing navigation systems (INS) aiding sensors are applied. An INS consists of a triad of orthogonal ac
ROBUST ESTIMATION VIA GENERALIZED L-STATISTICS
Serfling, Robert
CHAPTER 1 ROBUST ESTIMATION VIA GENERALIZED L-STATISTICS: THEORY, APPLICATIONS, AND PERSPECTIVES ROBERT SERFLING University of Texas at Dallas Abstract: Generalized L-statistics, introduced in Ser ing (1984) and including classical U-statistics and L-statistics, are linear functions based on the ordered
Adaptive Background Estimation using Intensity Independent Features
Lunds Universitet
Adaptive Background Estimation using Intensity Independent Features HÃ¥kan ArdÃ¶, Rikard Berthilsson to rapid changes in lighting conditions. Furthermore, the features can be computed very efficiently using reliable way, also in outdoor scenes where the lighting conditions is changing rapidly due to passing
Estimating the uncertainty in underresolved nonlinear dynamics
Chorin, Alelxandre; Hald, Ole
2013-06-12
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.
ESTIMATING COMPLEMENTARITY BETWEEN EDUCATION AND TRAINING
Paris-Sud XI, Université de
ESTIMATING COMPLEMENTARITY BETWEEN EDUCATION AND TRAINING Christian BELZIL Jørgen HANSEN Nicolai BETWEEN EDUCATION AND TRAINING* Christian BELZIL1 Jørgen HANSEN2 Nicolai KRISTENSEN3 November 2008 Cahier-schooling training that explicitly allows for possible complementarity between initial schooling levels and returns
PARAMETER ESTIMATION IN PETROLEUM AND GROUNDWATER MODELING
Ewing, Richard E.
PARAMETER ESTIMATION IN PETROLEUM AND GROUNDWATER MODELING R.E. Ewing, M.S. Pilant, J.G. Wade on grand challenge problems. In today's petroleum industry, reservoir simulators are routinely used parameters in petroleum and groundwater models. It is not intended to be exhaustive, but rather to give
IMPROVED DENSITY ESTIMATORS FOR INVERTIBLE LINEAR PROCESSES
Wefelmeyer, Wolfgang
IMPROVED DENSITY ESTIMATORS FOR INVERTIBLE LINEAR PROCESSES Anton Schick Department of Mathematical-statistic with kernel of the form K(x) = k(x - ay)k(y) dy. Schick and Wefelmeyer (2004b, 2007a) prove functional central and Schick (2007) obtain similar results for derivatives of convolutions. Schick and Wefelmeyer (2008b
Frequency Offset Estimator with Low Computational Complexity
Minn, Hlaing
decomposition for the derivative of the cost function. The CFO estimate's variance and Cramer-Rao bound (CRB systems [3][9], but a relatively new one for MIMO or MIMO OFDM systems [10][16]. Numerical calculations operators, respectively. [X]m,n denotes the (m, n)-th entry of a matrix X. [x]m denotes the m-th entry
Filtering and parameter estimation for electricity
Fournier, John J.F.
Filtering and parameter estimation for electricity markets by Alberto Molina-Escobar B to be particularly difficult for electricity, where markets are complex, and ex- hibit a number of unique features, mainly due to the problems involved in storing electricity. In this thesis we propose three models
Research Summary Estimating Woodfuel Resource Cost Curves
and extraction methods. Background Just under half of the final energy consumed in the UK (49%) is in the formResearch Summary Estimating Woodfuel Resource Cost Curves As a renewable energy source, woodfuel. The woodfuel strategy adopted by Forestry Commission England supports delivery of these. It aims to sustainably
Integrated Pedestrian Classification and Orientation Estimation
Gavrila, Dariu M.
Integrated Pedestrian Classification and Orientation Estimation Markus Enzweiler1 Dariu M. Gavrila2, The Netherlands Abstract This paper presents a novel approach to single-frame pedestrian classification) in a Bayesian fashion. This mixture-of-experts formulation approximates the probability density of pedestrian
SPONTANEOUS AND EXPLICIT ESTIMATION OF TIME DELAYS
So, Hing-Cheung
, called the explicit time delay estimator (ETDE), is rst developed to nd the di erential delay of a signal through only one propagation path. Basically, the ETDE is an adaptive FIR lter whose coe cients it can provide direct delay measurements on a sample-by-sample basis. The ETDE performance surface
Schedule Estimation for Web Application Development
Fernando, Lake
2008-05-16
The purpose of the project is to come up with a robust methodology for estimating hours for web application systems development. For the scope of the project, a web application system is an application which is accessed via a web browser...
County Level Wind Erosion Estimation Using National
, Fuller (1987), Rao (2003). 11 #12;Model searching for Wind Erosion In NRI, wind erosion WEQCounty Level Wind Erosion Estimation Using National Resources Inventory Survey Taps Maiti. · Approx. 3 points/PSU; 800,000 points in 1997 NRI 4 #12;· Data on Urban land, small water etc
Essays on Estimation of Inflation Equation
Kim, Woong
2009-05-15
. . . . . . . . . . . . 11 1. Models . . . . . . . . . . . . . . . . . . . . . . . . . . 11 2. Numerical Analysis for the Theoretical Relationship . 13 3. Numerical Analysis for the Empirical Issues . . . . . . 25 C. Alternative Kurtosis... 3. Detection of Outliers . . . . . . . . . . . . . . . . . . . 71 C. Empirical Results . . . . . . . . . . . . . . . . . . . . . . . 73 D. Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . 81 IV ESTIMATION OF HYBRID PHILLIPS CURVE...
microclim: Global estimates of hourly microclimate based
Porter, Warren P.
temperature, wind speed, relative humidity, solar radiation, sky radiation and substrate temperatures from substrates (soil, rock and sand) per pixel. These data are suitable for deriving biophysical estimates of the heat, water and activity budgets of terrestrial organisms. Design Type(s) observation design · data
2010-01-01
of bio- genic isoprene emission estimates for the state ofFull Article Biogenic emission measurement and inventoriesdetermination of biogenic emissions in the eastern United
Seismic Fragility Analysis and Loss Estimation for Concrete Structures
Bai, Jong Wha
2012-02-14
seismic vulnerability of concrete structures and effective in quantifying the uncertainties in the loss estimation process....
Probability Grid: A Location Estimation Scheme for Wireless Sensor Networks
Stankovic, John A.
estimation, grid topology, probability. I. INTRODUCTION Recent advances in micro-electro-mechanical systems
Estimating the error distribution function in semiparametric regression
Mueller, Uschi
Schick, Wolfgang Wefelmeyer Abstract We prove a stochastic expansion for a residual-based estimator linear smoother, i.i.d. representation, Donsker class, effi- ciency. #12;2 M¨uller - Schick - Wefelmeyer estimators of ; see e.g. Schick (1996). Given such an estimator ^ of , we estimate by a local linear smoother
Estimating transition times for a model of
Mitchener, W. Garrett
= mean usage rate of G2 dm dt = birth q(m) - death m 0.0 0.2 0.4 0.6 0.8 1.0 0.2 0.4 0.6 0.8 1.0 Mean at a rate k K Simplify K = 1: Each agent uses G1 (state 0) or G2 (state 1) @ Ck = number youth in state kD = death rate: each time step each adult dies with prob- ability pD = rD N , replaced by sampling from
United States Department of Agriculture Forest Service Pacific Northwest Research Station Research, and export from 1997 to 2010, for main world regions and the United States. Detailed tables by country
United States Department of Agriculture Forest Service Northeastern Research Station Research Paper-Central United States (Monserud and Ek 1977; Monserud 1987). This model was used within the framework of FOREST
United States Department of Agriculture Usual Planting and Harvesting Dates for U.S. Field Crops million acres of barley were harvested in the United States (U.S.) during 1996. After reaching a peak
United States Department of Agriculture Forest Service Pacific Northwest Research Station Research, import, and export from 1997 to 2010, for main world regions and the United States. Detailed tables
An Information-centric Communication Infrastructure for Real-time State Estimation of
Poll, Erik
components, e.g., distributed (renewable) energy resources (DERs) and electric vehicles, at distribution Distribution Networks W. K. Chai, N. Wang, K. V. Katsaros, G. Kamel, G. Pavlou, S. Melis, M. Hoefling, B network resource provisioning strategy in order to enable the agile PMU data communications in near real
A Vision-Based Algorithm for UAV State Estimation During Vehicle Recovery
Burns, William Robert
2011-08-31
vehicle recovery for UAVs. The method requires a clearly visible recovery target with markers placed on the corners in addition to known target geometry. The algorithm uses clustering techniques to identify the markers, a Canny Edge detector and a Hough...
On the optimal thresholds in remote state estimation with communication costs
Mahajan, Aditya
in households and com- municate these measurements to an aggregator which will use this information for demand response etc. In such a scenario, it is important not to flood the communication network with measurement
Estimated Value of Service Reliability for Electric Utility Customers in the United States
Sullivan, M.J.
2009-01-01
worth and cost-effectiveness of investments in Smart Grid.different Smart Grid). Each configuration varies in its costSmart Grid applications on specific systems; 2. Assessing the economic costs
Ouellette, Karli J; de Linage, Caroline; Famiglietti, James S
2013-01-01
and J. L. Foster (2003), A prototype AMSR-E global snow areaand snow depth algorithm, Geosci. Remote Sens. , 41(2), 230–F. G. Nievinksi (2012), GPS snow sensing: Results from the
Sensitivity analysis, ocean state estimation and diagnostics in the California current
Song, Hajoon
2011-01-01
maximum, a 1 is the offshore wind stress, a 2 is the windupwelling-favorable wind drives more offshore transport inthe wind stress curl is positive, and offshore upwelling is
Sensitivity analysis, ocean state estimation and diagnostics in the California current
Song, Hajoon
2011-01-01
maximum, a 1 is the offshore wind stress, a 2 is the windupwelling-favorable wind drives more offshore transport inthe stronger wind leads to stronger offshore transport than
A SURVEY OF STATE-LEVEL COST ESTIMATES OF RENEWABLES PORTFOLIO STANDARDS
Barbose, Galen
2014-01-01
Energy Efficiency and Renewable Energy (Solar TechnologiesRPS costs, per unit of renewable energy generation, rangedFlores-Espino National Renewable Energy Laboratory 15013
New Directions in the Development of Population Estimates in the United States?
Swanson, David A.; McKibben, Jerome N.
2010-01-01
ima-aim2009/modgen-eng.htm. Statistics Finland. (2004). UseBest practices of Statistics Finland. Handbook Series, No.45. Helsinki, Finland: Statistics Finland. Stockwell, E. ,
Multi-dimensional state estimation in adversarial environment , Richard M. Murray1
Murray, Richard M.
by corrupting sensor measurements. Supervisory Control And Data Acquisition (SCADA) systems, for exam- ple, run hamper the economy, the environment, and may even lead to the loss of human life. The first-ever SCADA system malware (called Stuxnet) was found in July 2010 and rose significant concern about SCADA system
visibility of the system is achieved with the use of the SCADA system and processing of the SCADA data via
Security Threat Analytics and Countermeasure Synthesis for Power System State Estimation
Wang, Yongge
and a set of measurements acquired through a Supervisory Control and Data Acquisition (SCADA) system) applications for the power grid. However, critical infrastructures relying on SCADA based measurements) are gradually being deployed, still the current grid largely relies on extensive SCADA measurements for several
Binary asteroid systems: Tidal end states and estimates of material properties
Taylor, PA; Margot, JL
2011-01-01
tidal evolution and then discuss stability limits and energyon tidal evolution. Angular momentum and energy content Theenergy can be dissipated as heat as a result of internal friction due to tidal ?
New Wind Energy Resource Potential Estimates for the United States (Presentation)
Elliott, D.; Schwartz, M.; Haymes, S.; Heimiller, D.; Scott, G.; Brower, M.; Hale, E.; Phelps, B.
2011-01-01
This presentation provides an overview of the wind energy resource mapping efforts conducted at NREL and by Truepower.
Estimated Value of Service Reliability for Electric Utility Customers in the United States
Sullivan, M.J.
2009-01-01
They include: Bonneville Power Administration, Duke Energy,data included: Bonneville Power Administration, Cinergy (Now
Estimated Value of Service Reliability for Electric Utility Customers in the United States
Sullivan, M.J.
2009-01-01
in regulation and utility planning is the cost of collectingin a variety of utility planning and ratemaking applications1995. Generation planning: As utilities add capacity, the
Estimated Value of Service Reliability for Electric Utility Customers in the United States
Schrijver, Karel
, Sullivan & Co. Energy Analysis Department Ernest Orlando Lawrence Berkeley National Laboratory 1 Cyclotron NATIONAL LABORATORY #12;Disclaimer This document was prepared as an account of work sponsored by the United Laboratory for support and guidance in the development of this research We would also like to thank C-K. Woo
New Directions in the Development of Population Estimates in the United States?
Swanson, David A.; McKibben, Jerome N.
2010-01-01
IRS IMF IRS IRMF Medicare Selective Service HUD TRACS IndianHealth Service HUD MTCS Social Security “NUMIDENT” EditedMedicare Edited SSS Edited HUD TRACS Edited IHS Edited MTCS
Estimated Benefits of IBWC Rio Grande Flood-Control Projects in the United States
reservoirs, dams, hydroelectric energy-generation facilities, floodways, and levees downstream of Caballo
Assessment of GPS-enabled smartphone data and its use in traffic state estimation for highways
by Juan Carlos Herrera INGEN (Universidad Catolica de Chile) 2002 M.S. (University of California Berkeley
On-line Hydraulic State Estimation in Urban Water Networks Using Reduced Models
Preis, Ami
A Predictor-Corrector (PC) approach for on-line forecasting of water usage in an urban water system is presented and demonstrated. The M5 Model-Trees algorithm is used to predict water demands and Genetic Algorithms (GAs) ...
Estimated Value of Service Reliability for Electric Utility Customers in the United States
Sullivan, M.J.
2009-01-01
expected or average value of lost load but the uncertaintydistribution of the value of lost load. With such a tool ina 95% chance that the value of lost load for the system of
State estimation of the Labrador Sea with a coupled sea ice-ocean adjoint model
Fenty, Ian Gouverneur
2010-01-01
Sea ice (SI) and ocean variability in marginal polar and subpolar seas are closely coupled. SI variability in the Labrador Sea is of climatic interest because of its relationship to deep convection/mode water formation, ...
On Particle Methods for Parameter Estimation in General State-Space Models
Kantas, Nikolas; Doucet, Arnoud; Singh, Sumeetpal S.; Maciejowski, Jan; Chopin, Nicolas
2015-08-10
argument of Q(?k, ?) can be characterized explicitly through a suitable function ? : Rns ? ?, i.e. (5.5) ?k+1 = ? ( T?1S?kT ) . 12 5.1.4 Discussion of particle implementations The path space approximation (3.7) can be used to approximate the score (2...
Lee, Sang-il, S.M. Massachusetts Institute of Technology
2008-01-01
Formation fight of multiple satellites is an attractive concept for achieving complicated space missions that are di±cult or impossible with a single monolithic satellite. Since traditional thrusters require propellant ...
Bounds on the Lyapunov exponent via crude estimates on the density of states
Mira Shamis; Thomas Spencer
2014-07-24
We study the Chirikov (standard) map at large coupling $\\lambda \\gg 1$, and prove that the Lyapounov exponent of the associated Schroedinger operator is of order $\\log \\lambda$ except for a set of energies of measure $\\exp(-c \\lambda^\\beta)$ for some $1 Lyapunov exponent (outside a small exceptional set of energies) for a large family of ergodic Schroedinger operators, the prime example being the $d$-dimensional skew shift.
On Parameter and State Estimation for Linear Differential-Algebraic Equations
Schön, Thomas
). These models arise as the natural product of object-oriented modeling languages, such as Modelica. However September 2006 #12;resentations that are close to those of object-oriented modeling tools, like Modelica
On Parameter and State Estimation for Linear Differential-Algebraic Equations
Gustafsson, Fredrik
). These models arise as the natural product of object-oriented modeling languages, such as Modelica. However September 2005 #12;tations that are close to those of object-oriented mod- eling tools, like Modelica
Baldick, Ross
for operations of power systems, utilities have his- torically used mid-size computers to handle the tasks in the control center of a control area. However with advancements of small computer technologies and networking system operator" (ISO) may link several utilities, distributed computing is likely to be preferable
Synchrophasor Based Tracking Three-Phase State Estimator and It's Applications
Phadke, A. G.; Thorp, James; Centeno, Virgilio; Gardner, Matthew; Novosel, Damir; Hu, Yi; Elizondo, David
2013-08-31
Electric power infrastructure is one of the critical resources of the nation. Its reliability in the face of natural or man-made catastrophes is of paramount importance for the economic and public health wellbeing of a modern society. Maintaining high levels of security for the high voltage transmission back bone of the electric supply network is a task requiring access to modern monitoring tools. These tools have been made particularly effective with the advent of synchronized phasor measurement units (PMUs) which became available in late 1990s, and have now become an indispensable for optimal monitoring, protection and control of the power grid. The present project was launched with an objective of demonstrating the value of the Wide Area Measurement System (WAMS) using PMUs and its applications on the Dominion Virginia Power High Voltage transmission grid. Virginia Tech is the birth place of PMUs, and was chosen to be the Principal Investigator of this project. In addition to Dominion Virginia Power, Quanta Technology of Raleigh, NC was selected to be co-Principal Investigators of this project.
Battery State Estimation for a Single Particle Model with Electrolyte Dynamics
Moura, Scott J; Bribiesca Argomedo, Federico; Klein, Reinhardt; Mirtabatabaei, Anahita; Krstic, Miroslav
2015-01-01
two concatenated UDDS drive cycles simulated on modelsinitial conditions and drive cycle inputs, including US06,
Micro-grid State Estimation Using Belief Propagation on Factor Graphs
Kavcic, Aleksandar
, renewable energy generation become more prevalent (with intermittent sources such as wind and solar) due energy resources and enable a future self-dispatch and self- healing grid. This would first require to environmental and energy sustainability concerns, variable pricing, sophisticated communication and sensing
Current (2009) State-of-the-Art Hydrogen Production Cost Estimate
2009-01-01
, including 20% postconsumer waste #12;List of Acronyms AEO EIA Annual Energy Outlook BOP balance of plant CF Renewable Energy Laboratory 1617 Cole Boulevard · Golden, Colorado 80401-3393 303-275-3000 · www.nrel.gov NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency
Tamma, Raja Venkatesh
2004-09-30
We study and analyze the performance of iterative equalization and decoding (IED) using an M-BCJR equalizer. We use bit error rate (BER), frame error rate simulations and extrinsic information transfer (EXIT) charts to study and compare...
A Survey of State-Level Cost and Benefit Estimates of Renewable Portfolio Standards
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach HomeA Better Anode Design to Improve Lithium-Ion Batteries PrintA New SolarA PresentFilm Alloys -AA A
Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using
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 Rank EERE:FinancingPetroleum Based| Department of Energy Whole-Home Gas8of|Heavy-Duty Diesel
Estimating Renewable Energy Economic Potential in the United States: Methodology and Initial Results
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submitKansasCommunitiesof Energy ServicesEnergy4thwritesOffice of
Estimating Renewable Energy Economic Potential in the United States: Methodology and Initial Results
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submitKansasCommunitiesof Energy ServicesEnergy4thwritesOffice ofEs#ma#ng R
Techniques for Mobile Location Estimation in UMTS
Thomas, Nicholas J
The subject area of this thesis is the locating of mobile users using the future 3rd generation spread spectrum communication system UMTS. The motivation behind this work is twofold: firstly the United States Federal ...
Bayesian parameter estimation for effective field theories
Wesolowski, S; Furnstahl, R J; Phillips, D R; Thapaliya, A
2015-01-01
We present procedures based on Bayesian statistics for effective field theory (EFT) parameter estimation from data. The extraction of low-energy constants (LECs) is guided by theoretical expectations that supplement such information in a quantifiable way through the specification of Bayesian priors. A prior for natural-sized LECs reduces the possibility of overfitting, and leads to a consistent accounting of different sources of uncertainty. A set of diagnostic tools are developed that analyze the fit and ensure that the priors do not bias the EFT parameter estimation. The procedures are illustrated using representative model problems and the extraction of LECs for the nucleon mass expansion in SU(2) chiral perturbation theory from synthetic lattice data.
Adaptive characterization of coherent states
Markku P. V. Stenberg; Kevin Pack; Frank K. Wilhelm
2015-08-18
We present methods for efficient characterization of an optical coherent state $|\\alpha\\rangle$. We choose measurement settings adaptively and stochastically, based on data while it is collected. Our algorithm divides the estimation in two distinct steps: (i) Before the first detection of vacuum state, the probability of choosing a measurement setting is proportional to detecting vacuum with the setting, which makes using too similar measurement settings twice unlikely and (ii) after the first detection of vacuum, we focus measurements in the region where vacuum is most likely to be detected. In step (i) [(ii)] the detection of vacuum (a photon) has a significantly larger effect on the shape of the posterior probability distribution of $\\alpha$. Compared to nonadaptive schemes, our method makes the number of measurement shots required to achieve certain level of accuracy smaller approximately by a factor proportional to the area describing the initial uncertainty of $\\alpha$ in phase space. While this algorithm is not directly robust against readout errors, we make it such by introducing repeated measurements in the step (i).
States & Emerging Energy Technologies
Office of Energy Efficiency and Renewable Energy (EERE)
This presentation, given through the DOE's Technical Assitance Program (TAP), provides information on States & Emerging Energy Technologies.
Energy Science and Technology Software Center (OSTI)
003198MLTPL00 AASG State Geothermal Data Repository for the National Geothermal Data System. http://repository.stategeothermaldata.org/repository/
On the empirical statistics of parameter estimates in parametric modeling
Zhu, Yao
1988-01-01
Chair of Advisory Committee: Dr. Shiping Li This thesis is a document of studying empirical statistics of the parameter estimates in parametric modeling. After reviewing some common estimation methods, some simulation results on the empirical..., a new estimation method is proposed to improve the accuracy of the estimates for ARMA models. In chapter four, a new estimation method is proposed for exponential models. This method first utilizes singular value decomposition of the signal...
Recursive Pathways to Marginal Likelihood Estimation with Prior-Sensitivity Analysis
Cameron, Ewan
2013-01-01
We investigate the utility to contemporary Bayesian studies of recursive, Gauss-Seidel-type pathways to marginal likelihood estimation characterized by reverse logistic regression and the density of states. Through a pair of illustrative, numerical examples (including mixture modeling of the well-known 'galaxy dataset') we highlight both the remarkable diversity of bridging schemes amenable to recursive normalization and the notable efficiency of the resulting pseudo-mixture densities for gauging prior-sensitivity in the model selection context. Our key theoretical contributions show the connection between the nested sampling identity and the density of states. Further, we introduce a novel heuristic ('thermodynamic integration via importance sampling') for qualifying the role of the bridging sequence in marginal likelihood estimation. An efficient pseudo-mixture density scheme for harnessing the information content of otherwise discarded draws in ellipse-based nested sampling is also introduced.
Modeling, Real-Time Estimation, and Identification of UWB Indoor Wireless Channels
Olama, Mohammed M [ORNL] [ORNL; Djouadi, Seddik M [ORNL] [ORNL; Li, Yanyan [ORNL] [ORNL; Fathy, Aly [University of Tennessee (UT)] [University of Tennessee (UT)
2013-01-01
In this paper, stochastic differential equations (SDEs) are used to model ultrawideband (UWB) indoor wireless channels. We show that the impulse responses for time-varying indoor wireless channels can be approximated in a mean square sense as close as desired by impulse responses that can be realized by SDEs. The state variables represent the inphase and quadrature components of the UWB channel. The expected maximization and extended Kalman filter are employed to recursively identify and estimate the channel parameters and states, respectively, from online received signal strength measured data. Both resolvable and non-resolvable multipath received signals are considered and represented as small-scaled Nakagami fading. The proposed models together with the estimation algorithm are tested using UWB indoor measurement data demonstrating the method s viability and the results are presented.
Sustainability Cal State Fullerton
de Lijser, Peter
Sustainability at Cal State Fullerton A Report from the Sustainability Initiative Study Group October 28, 2008 #12;Sustainability at Cal State Fullerton A Report from the Sustainability Initiative Safety Sally Yassine Contracts & Procurement #12;Sustainability at Cal State Fullerton A Report from
FISHERY STATISTICS UNITED STATES
FISHERY STATISTICS OF THE UNITED STATES 1972 STATISTICAL DIGEST NO. 66 Prepared by STATISTICS;ACKNOWLEDGMENTS The data in this edition of "Fishery Statistics of the United States" were collected in co- operation with the various States and tabulated by the staff of the Statistics and Market News Division
Bledsoe, Brian
Schultze, State Biologist, SCS, Davis, CA Arthur Sherman, Wetland Ecologist, ManTech Env. Technology, Inc., EPA Environmental Research Laboratory, Corvallis, OR Bob Snieckus, Landscape Architect, SCS, Davis, CA Wayne Talbot, Assistant State Conservation Engineer, SCS, Alexandria, LA Bill Welker, State Biologist
United States Department of Agriculture Forest Service Pacific Southwest Research Station General,000 xylem resin samples of pine (Pinus) species and hybrids--largely from the western United States locations in the eastern and southern United States. Cover Image: Chapter 6, Figure 6-2. #12;Xylem