An Econometric Model of the Yield Curve With Macroeconomic Jump Effects
Piazzesi, Monika
2001-01-01T23:59:59.000Z
Kenneth Singleton (1997). “An Econometric Model of the TermDiscretely-Sampled Data. ” Econometric Theory 4, pp. 231-An Econometric Model of the Yield Curve with Macroeconomic
Term Structure Dynamics with Macroeconomic Factors
Park, Ha-Il
2011-02-22T23:59:59.000Z
Affine term structure models (ATSMs) are known to have a trade-off in predicting future Treasury yields and fitting the time-varying volatility of interest rates. First, I empirically study the role of macroeconomic variables ...
Essays in macroeconomics and corporate finance
Goldberg, Jonathan E. (Jonathan Elliot)
2011-01-01T23:59:59.000Z
This thesis examines questions at the intersection of macroeconomics and finance. Chapter 1 studies the persistent effects of a decrease in firms' ability to borrow. I develop a tractable model of deleveraging that emphasizes ...
Essays in International Macroeconomics and Forecasting
Bejarano Rojas, Jesus Antonio
2012-10-19T23:59:59.000Z
This dissertation contains three essays in international macroeconomics and financial time series forecasting. In the first essay, I show, numerically, that a two-country New-Keynesian Sticky Prices model, driven by monetary and productivity shocks...
Modelling macroeconomic flows related to large ensembles
Schellekens, Michel P.
, including, say, oil prices, interest rates, etc; dynamics of shares markets are governed by information)economics is in understanding quantitative relationships which govern flows of money, various commodities, goods and labours or filled by a water, and there is 3 #12;a price, measured in the universal physics currency, energy
Alternative Measures of Welfare in Macroeconomic Models
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 OilU.S. Offshore U.S.:7)
Long Run Macroeconomic Relations in the Global Economy
Dees, S; Holly, Sean; Pesaran, M Hashem; Smith, L Vanessa
This paper focuses on testing long run macroeconomic relations for interest rates, equity, prices and exchange rates within a model of the global economy. It considers a number of plausible long run relationships suggested by arbitrage in financial...
Llosa, Luis Gonzalo
2012-01-01T23:59:59.000Z
A Microfounded Business Cycle Model . . . . . . . . . . .A Real Business Cycle Model . . . . . . . . . . . .A Real Business Cycle Model . . . . .
An empirical specification of the pesek and saving macroeconomic model
Moser, Ernest Richard
1970-01-01T23:59:59.000Z
AN EvtPIRICAL SPECIFICATION OF THE PESEK AND SAVING EACROECONONIC NODEL A Thesis by Ernest Richard Noser Submitted to the Graduate ColleEe of Texas A ". i University in partial fulfillment of the requirement for the deCree of KASTM OF SCIENCE... of non-accumulating totals for the stocks of equitics, durables, and bonds must be considered as a source of error. 19 TADLE 4 TlDE DZUQ~D FGd DG:;DD Variable e yt FJP r E ? P Coefficient -0. 03 0. 07 -0. 01 -0. 11 -O. G7 31. 09 -0. 53 1. 29...
An Evaluation of Macroeconomic Models for Use at EIA
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 OilU.S. Offshore U.S.:7)An AssessmentAn
A VECX* Model of the Swiss Economy
Assenmacher-Wesche, Katrin; Pesaran, M Hashem
A VECX? Model of the Swiss Economy? Katrin Assenmacher-Wesche Swiss National Bank M. Hashem Pesaran Cambridge University, CIMF, and USC February 21, 2008 Abstract This paper applies the modelling strategy of Garratt, Lee, Pesaran and Shin (2003... ) to the estimation of a structural cointegrated VAR model that relates the core macroeconomic variables of the Swiss economy to current and lagged values of a number of key foreign variables. We identify and test a long-run structure between the variables. Moreover...
Nenov, Plamen T. (Plamen Toshkov)
2012-01-01T23:59:59.000Z
This thesis examines questions in macroeconomics motivated by the 2007-2008 financial crisis and its aftermath. Chapter 1 studies the impact of a housing bust on regional labor reallocation and the labor market. I document ...
Queuing models System dynamics models
Glushko, Robert J.
models Value chain models Business Model / Organizational Perspective Process Perspective Information#12;#12;#12;#12;Queuing models System dynamics models #12;#12;#12;#12;Blueprint or touchpoint
Essays in Quantitative Macroeconomics
Neumuller, Seth
2013-01-01T23:59:59.000Z
quantitative model), I choose to focus on the volatility of permanent shocks to wages as the measure of risk for my analysis.
Essays in macroeconomics and experiments
Shurchkov, Olga
2008-01-01T23:59:59.000Z
This dissertation consists of four chapters on empirical and experimental macroeconomics and other experimental topics. Chapter 1 uses a laboratory experiment to test the predictions of a dynamic global game designed to ...
Essays in open economy macroeconomics
Ghosh, Indradeep, Ph. D. Massachusetts Institute of Technology
2007-01-01T23:59:59.000Z
This thesis is a collection of two essays on open economy macroeconomics. The first essay is on imperfect asset substitutability and current account dynamics. It is divided into four chapters. The first chapter in this ...
Three essays in macroeconomics
Farhi, Emmanuel
2006-01-01T23:59:59.000Z
Chapter 1 analyzes the theoretical and quantitative implications of optimal fiscal policy in a business cycle model with incomplete markets. I first consider the problem of a government facing expenditure shocks in an ...
Essays on macroeconomics and forecasting
Liu, Dandan
2006-10-30T23:59:59.000Z
is the structural factor augmented vector autoregressive (SFAVAR) model and the other is the structural factor vector autoregressive (SFVAR) model. Compared to the traditional vector autogression (VAR) model, both models incorporate far more information from...
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-05-21T23:59:59.000Z
This chapter describes the lifecycle model used for the Departmental software engineering methodology.
On housing booms and credit market conditions: A state space model
Del Moral , Pierre
of residential mortgage loans, especially since 2002. The impulse response analysis from the estimated model imply lower financial costs of the mortgage loan, which may lead to an increas- ing demand for housing, Mukherjee, Seru and Vig; 2010). Despite these findings, at the level of macroeconomic aggregation, no clear
Transportation technology transitions and macroeconomic growth -- Contemporary evidence
Santini, D.J.
1994-12-31T23:59:59.000Z
This paper presents international and temporal extensions of evidence for a theory developed by the author concerning the interaction of transportation technology transitions and macroeconomic growth. The period 1970 to the present is examined for the nations of Japan, the US, and Europe (France, Germany, Italy and the United Kingdom collectively). An addition to the abstract logic supporting the general arguments of the theory is also presented. The theory has been developed concerning the role of significant transportation technology transitions as a cause of significant macroeconomic declines in nations for which the manufacture of transportation vehicles (ships, locomotives, and automobiles) is a dominant economic activity. The theory offers an explanation for periods of pronounced multiyear decline in economic growth rate--sometimes called depressions and sometimes called stagnations. One purpose of this paper is to explore whether or not Japan and Europe have each recently experienced a multiyear event of this type. In the theory and the evidence presented for it, environmental regulation of transportation vehicles has been shown to be an initiating cause of significant technical change, with sharp, sustained fuel price increases being a second frequent initiating cause. These causes of significant technical change, and their possible consequences, are potentially important considerations for those proposing policies to deal with global warming, since both fuel economy regulation and fuel price increases have been recommended by policy analysts as means to reduce transportation`s contribution to global warming. The theory has been offered and supported by publications developing mathematical models and examining US historical evidence consistent with the theory.
H. Yang
1999-11-04T23:59:59.000Z
The purpose of this analysis and model report (AMR) for the Ventilation Model is to analyze the effects of pre-closure continuous ventilation in the Engineered Barrier System (EBS) emplacement drifts and provide heat removal data to support EBS design. It will also provide input data (initial conditions, and time varying boundary conditions) for the EBS post-closure performance assessment and the EBS Water Distribution and Removal Process Model. The objective of the analysis is to develop, describe, and apply calculation methods and models that can be used to predict thermal conditions within emplacement drifts under forced ventilation during the pre-closure period. The scope of this analysis includes: (1) Provide a general description of effects and heat transfer process of emplacement drift ventilation. (2) Develop a modeling approach to simulate the impacts of pre-closure ventilation on the thermal conditions in emplacement drifts. (3) Identify and document inputs to be used for modeling emplacement ventilation. (4) Perform calculations of temperatures and heat removal in the emplacement drift. (5) Address general considerations of the effect of water/moisture removal by ventilation on the repository thermal conditions. The numerical modeling in this document will be limited to heat-only modeling and calculations. Only a preliminary assessment of the heat/moisture ventilation effects and modeling method will be performed in this revision. Modeling of moisture effects on heat removal and emplacement drift temperature may be performed in the future.
V. Chipman
2002-10-05T23:59:59.000Z
The purpose of the Ventilation Model is to simulate the heat transfer processes in and around waste emplacement drifts during periods of forced ventilation. The model evaluates the effects of emplacement drift ventilation on the thermal conditions in the emplacement drifts and surrounding rock mass, and calculates the heat removal by ventilation as a measure of the viability of ventilation to delay the onset of peak repository temperature and reduce its magnitude. The heat removal by ventilation is temporally and spatially dependent, and is expressed as the fraction of heat carried away by the ventilation air compared to the fraction of heat produced by radionuclide decay. One minus the heat removal is called the wall heat fraction, or the remaining amount of heat that is transferred via conduction to the surrounding rock mass. Downstream models, such as the ''Multiscale Thermohydrologic Model'' (BSC 2001), use the wall heat fractions as outputted from the Ventilation Model to initialize their post-closure analyses. The Ventilation Model report was initially developed to analyze the effects of preclosure continuous ventilation in the Engineered Barrier System (EBS) emplacement drifts, and to provide heat removal data to support EBS design. Revision 00 of the Ventilation Model included documentation of the modeling results from the ANSYS-based heat transfer model. The purposes of Revision 01 of the Ventilation Model are: (1) To validate the conceptual model for preclosure ventilation of emplacement drifts and verify its numerical application in accordance with new procedural requirements as outlined in AP-SIII-10Q, Models (Section 7.0). (2) To satisfy technical issues posed in KTI agreement RDTME 3.14 (Reamer and Williams 2001a). Specifically to demonstrate, with respect to the ANSYS ventilation model, the adequacy of the discretization (Section 6.2.3.1), and the downstream applicability of the model results (i.e. wall heat fractions) to initialize post-closure thermal models (Section 6.6). (3) To satisfy the remainder of KTI agreement TEF 2.07 (Reamer and Williams 2001b). Specifically to provide the results of post-test ANSYS modeling of the Atlas Facility forced convection tests (Section 7.1.2). This portion of the model report also serves as a validation exercise per AP-SIII.10Q, Models, for the ANSYS ventilation model. (4) To further satisfy KTI agreements RDTME 3.01 and 3.14 (Reamer and Williams 2001a) by providing the source documentation referred to in the KTI Letter Report, ''Effect of Forced Ventilation on Thermal-Hydrologic Conditions in the Engineered Barrier System and Near Field Environment'' (Williams 2002). Specifically to provide the results of the MULTIFLUX model which simulates the coupled processes of heat and mass transfer in and around waste emplacement drifts during periods of forced ventilation. This portion of the model report is presented as an Alternative Conceptual Model with a numerical application, and also provides corroborative results used for model validation purposes (Section 6.3 and 6.4).
Veronica J. Rutledge
2013-01-01T23:59:59.000Z
The absence of industrial scale nuclear fuel reprocessing in the U.S. has precluded the necessary driver for developing the advanced simulation capability now prevalent in so many other countries. Thus, it is essential to model complex series of unit operations to simulate, understand, and predict inherent transient behavior and feedback loops. A capability of accurately simulating the dynamic behavior of advanced fuel cycle separation processes will provide substantial cost savings and many technical benefits. The specific fuel cycle separation process discussed in this report is the off-gas treatment system. The off-gas separation consists of a series of scrubbers and adsorption beds to capture constituents of interest. Dynamic models are being developed to simulate each unit operation involved so each unit operation can be used as a stand-alone model and in series with multiple others. Currently, an adsorption model has been developed within Multi-physics Object Oriented Simulation Environment (MOOSE) developed at the Idaho National Laboratory (INL). Off-gas Separation and REcoverY (OSPREY) models the adsorption of off-gas constituents for dispersed plug flow in a packed bed under non-isothermal and non-isobaric conditions. Inputs to the model include gas, sorbent, and column properties, equilibrium and kinetic data, and inlet conditions. The simulation outputs component concentrations along the column length as a function of time from which breakthrough data is obtained. The breakthrough data can be used to determine bed capacity, which in turn can be used to size columns. It also outputs temperature along the column length as a function of time and pressure drop along the column length. Experimental data and parameters were input into the adsorption model to develop models specific for krypton adsorption. The same can be done for iodine, xenon, and tritium. The model will be validated with experimental breakthrough curves. Customers will be given access to OSPREY to used and evaluate the model.
Towards a reconstruction of macroeconomics using a stock flow consistent (SFC) model
Godley, Wynne
. Balancing ; (1) (2) current (3) capital (4) current (5)capital (6) item (7) 1. Inventories +I -I 0 2. Fixed capital +K -K 0 3. Cash +HP +HB -H 0 4. Current accounts +MC -MC 0 5. Deposit accounts +MD -MD 0 6. Bills +BP +BB... of interest on, respectively, bills, money, commercial bills and loans. (**) V (wealth) = NW+DG+I+K ; NW=net worth of firms, DG=government debt, I=inventories, K=fixed capital stock 4 postulated production sector, which we may describe...
Macroeconomic models of consumer demand for consumer packaged goods in Asia
Mau, Jonathan
2012-01-01T23:59:59.000Z
CPGCo, a global manufacturer of consumer packaged goods, has had tremendous difficulty in producing accurate forecasts for its products in developing markets. The problem was especially apparent during the global economic ...
Monetary Policy and Dark Corners in a stylized Agent-Based Model
Gualdi, Stanislao; Zamponi, Francesco; Bouchaud, Jean-Philippe
2015-01-01T23:59:59.000Z
We generalise the stylised macroeconomic Agent-Based model introduced in "Tipping Points in Macroeconomic Agent Based Models" [JEDC 50, 29-61 (2015)], with the aim of investigating the role and efficacy of monetary policy of a 'Central Bank', that sets the interest rate such as to steer the economy towards a prescribed inflation and unemployment level. Our major finding is that provided its policy is not too aggressive (in a sense detailed in the paper) the Central Bank is successful in achieving its goals. However, the existence of different equilibrium states of the economy, separated by phase boundaries (or "dark corners"), can cause the monetary policy itself to trigger instabilities and be counter-productive. In other words, the Central Bank must navigate in a narrow window: too little is not enough, too much leads to instabilities and wildly oscillating economies. This conclusion strongly contrasts with the prediction of DSGE models.
Sandia Energy - Systems Modeling
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Simulation Model Energy, Power & Water Simulation Model SunCity Model Water, Energy and Carbon Sequestration Model Gila Basin-Az Water Settlement Model Electrical Grid Storage...
National Energy Modeling System (NEMS)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. through 2030. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. NEMS was designed and implemented by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). NEMS can be used to analyze the effects of existing and proposed government laws and regulations related to energy production and use; the potential impact of new and advanced energy production, conversion, and consumption technologies; the impact and cost of greenhouse gas control; the impact of increased use of renewable energy sources; and the potential savings from increased efficiency of energy use; and the impact of regulations on the use of alternative or reformulated fuels. NEMS has also been used for a number of special analyses at the request of the Administration, U.S. Congress, other offices of DOE and other government agencies, who specify the scenarios and assumptions for the analysis. Modules allow analyses to be conducted in energy topic areas such as residential demand, industrial demand, electricity market, oil and gas supply, renewable fuels, etc.
Modeling Quality Information within Business Process Models
Paech, Barbara
Modeling Quality Information within Business Process Models Robert Heinrich, Alexander Kappe. Business process models are a useful means to document information about structure and behavior literature and tool survey on modeling quality information within business process models. Keywords: Business
Insepov, Z.; Norem, J. [Argonne National Lab, Argonne, IL 60439 (United States); Vetizer, S.; Mahalingam, S. [Tech-X Corp., Boulder, CO (United States)
2011-12-23T23:59:59.000Z
Although vacuum arcs were first identified over 110 years ago, they are not yet well understood. We have since developed a model of breakdown and gradient limits that tries to explain, in a self-consistent way: arc triggering, plasma initiation, plasma evolution, surface damage and gradient limits. We use simple PIC codes for modeling plasmas, molecular dynamics for modeling surface breakdown, and surface damage, and mesoscale surface thermodynamics and finite element electrostatic codes for to evaluate surface properties. Since any given experiment seems to have more variables than data points, we have tried to consider a wide variety of arcing (rf structures, e beam welding, laser ablation, etc.) to help constrain the problem, and concentrate on common mechanisms. While the mechanisms can be comparatively simple, modeling can be challenging.
Daniel, David J [Los Alamos National Laboratory; Mc Pherson, Allen [Los Alamos National Laboratory; Thorp, John R [Los Alamos National Laboratory; Barrett, Richard [SNL; Clay, Robert [SNL; De Supinski, Bronis [LLNL; Dube, Evi [LLNL; Heroux, Mike [SNL; Janssen, Curtis [SNL; Langer, Steve [LLNL; Laros, Jim [SNL
2011-01-14T23:59:59.000Z
A programming model is a set of software technologies that support the expression of algorithms and provide applications with an abstract representation of the capabilities of the underlying hardware architecture. The primary goals are productivity, portability and performance.
Broader source: Energy.gov [DOE]
Zip file containing the LEDCOM model as an excel worksheet, the backend database, and an operating information document. Extract all files to the same local directory on your computer.
Model systems This year's model
Raines, Ronald T.
@biochem.wisc.edu RTR received ScB degrees in chemistry and biology from the Massachusetts Institute of Technology that initially inspired the chemical simplification. In such cases, the later stages of model studies can seem
The National Energy Modeling System: An overview 1998
NONE
1998-02-01T23:59:59.000Z
The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of US energy markets for the midterm period through 2020. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors world energy markets, resource availability and costs, behavior and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. This report presents an overview of the structure and methodology of NEMS and each of its components. The first chapter provides a description of the design and objectives of the system, followed by a chapter on the overall modeling structure and solution algorithm. The remainder of the report summarizes the methodology and scope of the component modules of NEMS. The model descriptions are intended for readers familiar with terminology from economics, operations research, and energy modeling. 21 figs.
Essays on political institutions and macroeconomics
Yared, Pierre
2007-01-01T23:59:59.000Z
This dissertation consists of three chapters on the interaction of political institutions and macroeconomic activity in dynamic environments. Chapter 1 studies the optimal management of taxes and debt in a framework which ...
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh School footballHydrogen andHypernucleiNORTHWESTOfficeModeling Modeling
Essays in macroeconomics and finance
Mohsenzadeh Kermani, Amir Reza
2013-01-01T23:59:59.000Z
The first chapter proposes a model of booms and busts in housing and non-housing consumption driven by the interplay between relatively low interest rates and an expansion of credit, triggered by further decline in interest ...
Essays on finance and macroeconomics
Di Tella, Sebastian T. (Sebastian Tariacuri)
2013-01-01T23:59:59.000Z
This thesis studies the role of the financial system in the amplification and propagation of business cycles. Chapter 1 studies the origin and propagation of balance sheet recessions. I first show that in standard models ...
Liò, Pietro; Paoletti, Nicola; Moni, Mohammad A; Atwell, Kathryn; Merelli, Emanuela; Viceconti, Marco
2012-09-07T23:59:59.000Z
13 of 14 12. Paoletti N, Lio P, Merelli E, Viceconti M: Multi-level Computational Modeling and Quantitative Analysis of Bone Remodeling. IEEE/ACM Transactions on Computational Biology and Bioinformatics 2012, 99(PrePrints). 13. Geris L, Vander Sloten...
A. Alsaed
2004-09-14T23:59:59.000Z
The ''Disposal Criticality Analysis Methodology Topical Report'' (YMP 2003) presents the methodology for evaluating potential criticality situations in the monitored geologic repository. As stated in the referenced Topical Report, the detailed methodology for performing the disposal criticality analyses will be documented in model reports. Many of the models developed in support of the Topical Report differ from the definition of models as given in the Office of Civilian Radioactive Waste Management procedure AP-SIII.10Q, ''Models'', in that they are procedural, rather than mathematical. These model reports document the detailed methodology necessary to implement the approach presented in the Disposal Criticality Analysis Methodology Topical Report and provide calculations utilizing the methodology. Thus, the governing procedure for this type of report is AP-3.12Q, ''Design Calculations and Analyses''. The ''Criticality Model'' is of this latter type, providing a process evaluating the criticality potential of in-package and external configurations. The purpose of this analysis is to layout the process for calculating the criticality potential for various in-package and external configurations and to calculate lower-bound tolerance limit (LBTL) values and determine range of applicability (ROA) parameters. The LBTL calculations and the ROA determinations are performed using selected benchmark experiments that are applicable to various waste forms and various in-package and external configurations. The waste forms considered in this calculation are pressurized water reactor (PWR), boiling water reactor (BWR), Fast Flux Test Facility (FFTF), Training Research Isotope General Atomic (TRIGA), Enrico Fermi, Shippingport pressurized water reactor, Shippingport light water breeder reactor (LWBR), N-Reactor, Melt and Dilute, and Fort Saint Vrain Reactor spent nuclear fuel (SNF). The scope of this analysis is to document the criticality computational method. The criticality computational method will be used for evaluating the criticality potential of configurations of fissionable materials (in-package and external to the waste package) within the repository at Yucca Mountain, Nevada for all waste packages/waste forms. The criticality computational method is also applicable to preclosure configurations. The criticality computational method is a component of the methodology presented in ''Disposal Criticality Analysis Methodology Topical Report'' (YMP 2003). How the criticality computational method fits in the overall disposal criticality analysis methodology is illustrated in Figure 1 (YMP 2003, Figure 3). This calculation will not provide direct input to the total system performance assessment for license application. It is to be used as necessary to determine the criticality potential of configuration classes as determined by the configuration probability analysis of the configuration generator model (BSC 2003a).
Sandia National Laboratories: Modeling
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Mark Boslough Featured in NOVA Special about the Chelyabinsk Meteor On April 3, 2013, in Capabilities, Computational Modeling & Simulation, Modeling, Modeling, Modeling & Analysis,...
Economics definitions, methods, models, and analysis procedures for Homeland Security applications.
Ehlen, Mark Andrew; Loose, Verne William; Vargas, Vanessa N.; Smith, Braeton J.; Warren, Drake E.; Downes, Paula Sue; Eidson, Eric D.; Mackey, Greg Edward
2010-01-01T23:59:59.000Z
This report gives an overview of the types of economic methodologies and models used by Sandia economists in their consequence analysis work for the National Infrastructure Simulation&Analysis Center and other DHS programs. It describes the three primary resolutions at which analysis is conducted (microeconomic, mesoeconomic, and macroeconomic), the tools used at these three levels (from data analysis to internally developed and publicly available tools), and how they are used individually and in concert with each other and other infrastructure tools.
Macroeconomics: A Survey of Laboratory Research Department of Economics
Tesfatsion, Leigh
to laboratory experiments involving human subjects but rather to computational experiments using calibrated Welcome Abstract This chapter surveys laboratory experiments addressing macroeconomic phenomena. The first and mechanisms for resolving these problems. Part three looks at experiments in specific macroeconomic sectors
Translating Model Simulators to Analysis Models
de Lara, Juan
Translating Model Simulators to Analysis Models Juan de Lara1 and Hans Vangheluwe2 1 Polytechnic generation of model-to-model transformations given a description of the operational semantics of the source of operational triple graph grammar rules that transform the static information (initial model) and the dynamics
Graphical models, causal inference, and econometric models
Spirtes, Peter
Graphical models, causal inference, and econometric models Peter Spirtes Abstract A graphical model modeling has historical ties to causal modeling in econometrics and other social sciences, there have been isolated from the econometric tradition. In this paper I will describe a number of recent developments
Modeling diffusion of electrical appliances in the residential sector
McNeil, Michael A.; Letschert, Virginie E.
2009-11-22T23:59:59.000Z
This paper presents a methodology for modeling residential appliance uptake as a function of root macroeconomic drivers. The analysis concentrates on four major energy end uses in the residential sector: refrigerators, washing machines, televisions and air conditioners. The model employs linear regression analysis to parameterize appliance ownership in terms of household income, urbanization and electrification rates according to a standard binary choice (logistic) function. The underlying household appliance ownership data are gathered from a variety of sources including energy consumption and more general standard of living surveys. These data span a wide range of countries, including many developing countries for which appliance ownership is currently low, but likely to grow significantly over the next decades as a result of economic development. The result is a 'global' parameterization of appliance ownership rates as a function of widely available macroeconomic variables for the four appliances studied, which provides a reliable basis for interpolation where data are not available, and forecasting of ownership rates on a global scale. The main value of this method is to form the foundation of bottom-up energy demand forecasts, project energy-related greenhouse gas emissions, and allow for the construction of detailed emissions mitigation scenarios.
Modelling intonational structure using hidden markov models.
Wright, Helen; Taylor, Paul A
1997-01-01T23:59:59.000Z
A method is introduced for using hidden Markov models (HMMs) to model intonational structure. HMMs are probabilistic and can capture the variability in structure which previous finite state network models lack. We show ...
Joseph, Earl C.; Conway, Steve; Dekate, Chirag
2013-09-30T23:59:59.000Z
This study investigated how high-performance computing (HPC) investments can improve economic success and increase scientific innovation. This research focused on the common good and provided uses for DOE, other government agencies, industry, and academia. The study created two unique economic models and an innovation index: 1 A macroeconomic model that depicts the way HPC investments result in economic advancements in the form of ROI in revenue (GDP), profits (and cost savings), and jobs. 2 A macroeconomic model that depicts the way HPC investments result in basic and applied innovations, looking at variations by sector, industry, country, and organization size. ? A new innovation index that provides a means of measuring and comparing innovation levels. Key findings of the pilot study include: IDC collected the required data across a broad set of organizations, with enough detail to create these models and the innovation index. The research also developed an expansive list of HPC success stories.
Ghil, Michael
B.V. All rights reserved. Keywords: Macroeconomic dynamics; Non-equilibrium modeling; BusinessPlease cite this article in press as: Hallegatte, S. et al., Business cycles, bifurcations and chaos in a neo-classical model with investment dynamics, Journal of Economic Behavior and Organization
Modeling Traffic Flow Emissions
Cappiello, Alessandra
2002-09-17T23:59:59.000Z
The main topic of this thesis is the development of light-duty vehicle dynamic emission models and their integration with dynamic traffic models. Combined, these models
Hydrologic Modeling Capabilities
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Management Programs has both experience and technical knowledge to use and develop Earth systems models. Hydrological Modeling Models are simplified representations of...
WAGES, FLEXIBLE EXCHANGE RATES, AND MACROECONOMIC POLICY*
WAGES, FLEXIBLE EXCHANGE RATES, AND MACROECONOMIC POLICY* JEFFREY SACHS In an open economy with a floaLing exchange rate, the efficacy of fiscal and monetary policy depends fundamentally on the wage rate depreciation, while fiscal expansion has no output effect. These results hold only when real wages
NBER WORKING PAPER SERIES MACROECONOMIC INTERDEPENDENCE OF
.S.; (2) the macroeco- nomic implications of a protectionist tariff imposed by the U.S.; and (3) the scope be the macroeconomic implications of a protectionist tariff imposed by the U.S.? Finally, what is the scope for policy
John A. Schroeder
2012-06-01T23:59:59.000Z
The Standardized Plant Analysis Risk (SPAR) models for the U.S. commercial nuclear power plants currently have very limited instrumentation and control (I&C) modeling [1]. Most of the I&C components in the operating plant SPAR models are related to the reactor protection system. This was identified as a finding during the industry peer review of SPAR models. While the Emergency Safeguard Features (ESF) actuation and control system was incorporated into the Peach Bottom Unit 2 SPAR model in a recent effort [2], various approaches to expend resources for detailed I&C modeling in other SPAR models are investigated.
Topological Massive Sigma Models
N. D. Lambert
1995-05-03T23:59:59.000Z
In this paper we construct topological sigma models which include a potential and are related to twisted massive supersymmetric sigma models. Contrary to a previous construction these models have no central charge and do not require the manifold to admit a Killing vector. We use the topological massive sigma model constructed here to simplify the calculation of the observables. Lastly it is noted that this model can be viewed as interpolating between topological massless sigma models and topological Landau-Ginzburg models.
Emerging Economies, Trade Policy, and Macroeconomic Shocks
Bown, Chad P.; Crowley, Meredith A.
2014-05-09T23:59:59.000Z
and across countries – as to how constrained these emerging economies are by WTO disciplines over their applied import tariff policies. Argentina, India, Malaysia, Philippines and Thailand, for example, each have years for which there are major changes... 0 Emerging Economies, Trade Policy, and Macroeconomic Shocks Chad P. Bown† The World Bank Meredith A. Crowley‡ University of Cambridge This version: March 2014 Abstract This paper estimates the impact of aggregate...
Office of Energy Efficiency and Renewable Energy (EERE)
Webinar attendees will learn what collaborative, stakeholder-driven modeling is, how the models developed have been and could be used, and how specifically this process and resulting models might...
Introduction & Scope Model & Calibration
Kuhn, Matthew R.
Introduction & Scope Principles Model & Calibration Applications Granular Fabric and Stress / papers / ASME07.pdf LATEX #12;Introduction & Scope Principles Model & Calibration Applications Outline 1 Introduction & Scope 2 Principles 3 Model & Calibration 4 Applications Kuhn -- November 12, 2007 http
Sandia National Laboratories: Modeling
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Sandia Study Shows Large LNG Fires Hotter but Smaller Than Expected On December 6, 2011, in Analysis, Energy Assurance, Infrastructure Security, Modeling, Modeling & Analysis,...
Pleple, Quentin
26 Interactive LDA . . . . . . . . . . . . . . . .and B. Satinoff (2011). Interactive topic modeling. InOF CALIFORNIA, SAN DIEGO Interactive Topic Modeling A thesis
Sandia National Laboratories: Modeling
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
from improved climate models to performance models for underground waste storage to 3D printing and digital rock physics. Marianne Walck (Director ... Sandia Team Attends World...
Sandia National Laboratories: Modeling
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AtomicMolecular Massively Parallel Simulator) particle library, ... Wind Generator Modeling On June 26, 2014, in Computational Modeling & Simulation, Energy, Energy...
Vehicle Modeling and Simulation
Broader source: Energy.gov (indexed) [DOE]
Vehicle Modeling and Simulation Vehicle Modeling and Simulation Matthew Thornton National Renewable Energy Laboratory matthewthornton@nrel.gov phone: 303.275.4273 Principal...
Broader source: Energy.gov [DOE]
DOE modeling and analysis activities focus on reducing uncertainties and improving transparency in photovoltaics (PV) and concentrating solar power (CSP) performance modeling. The overall goal of...
Documentation of the DRI Model of the US economy, December 1993
Not Available
1994-02-28T23:59:59.000Z
The Energy Information Administration (EIA) uses models of the US economy developed by Data Resources, Inc. (DRI) for conducting policy analyses, preparing forecasts for the Annual Energy Outlook, the Short-Term Energy Outlook, and related analyses in conjunction with EIA`s National Energy Modeling System (NEMS) and its other energy market models. Both the DRI Model of the US Economy and the DRI Personal Computer Input-Output Model (PC-IO){sup 2} were developed and are maintained by DRI as proprietary models. This report provides documentation, as required by EIA standards for the use of proprietary models; describes the theoretical basis, structure and functions of both DRI models; and contains brief descriptions of the models and their equations. Appendix A describes how the two large-scale models documented here are used to support the macroeconomic and interindustry modeling associated with the National Energy Modeling System. Appendix B is an article by Stephen McNees of the Federal Reserve Bank of Boston on ``How Large are Economic Forecast Errors.`` This article assesses the forecast accuracy of a number of economic forecasting models (groups) and is attached as an independent assessment of the forecast accuracy of the DRI Model of the US Economy.
Sandia National Laboratories: Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
On September 19, 2013, in Computational Modeling & Simulation, Distribution Grid Integration, Energy, Facilities, Grid Integration, Modeling, Modeling & Analysis, News, News &...
NONE
1995-06-01T23:59:59.000Z
Descriptions of model occupational health and safety programs implemented at DOE facilities are presented.
A conceptual model to estimate cost effectiveness of the indoor environment improvements
Seppanen, Olli; Fisk, William J.
2003-06-01T23:59:59.000Z
Macroeconomic analyses indicate a high cost to society of a deteriorated indoor climate. The few example calculations performed to date indicate that measures taken to improve IEQ are highly cost-effective when health and productivity benefits are considered. We believe that cost-benefit analyses of building designs and operations should routinely incorporate health and productivity impacts. As an initial step, we developed a conceptual model that shows the links between improvements in IEQ and the financial gains from reductions in medical care and sick leave, improved work performance, lower employee turn over, and reduced maintenance due to fewer complaints.
Sandia National Laboratories: Modeling & Analysis
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Mark Boslough Featured in NOVA Special about the Chelyabinsk Meteor On April 3, 2013, in Capabilities, Computational Modeling & Simulation, Modeling, Modeling, Modeling & Analysis,...
Sandia National Laboratories: Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Sandian Mark Boslough Featured on NOVA Episode about Chelyabinsk Meteor On November 20, 2013, in Computational Modeling & Simulation, Modeling, Modeling, Modeling & Analysis,...
C. Ahlers; H. Liu
2000-03-12T23:59:59.000Z
The purpose of this Analysis/Model Report (AMR) is to document the Calibrated Properties Model that provides calibrated parameter sets for unsaturated zone (UZ) flow and transport process models for the Yucca Mountain Site Characterization Project (YMP). This work was performed in accordance with the ''AMR Development Plan for U0035 Calibrated Properties Model REV00. These calibrated property sets include matrix and fracture parameters for the UZ Flow and Transport Model (UZ Model), drift seepage models, drift-scale and mountain-scale coupled-processes models, and Total System Performance Assessment (TSPA) models as well as Performance Assessment (PA) and other participating national laboratories and government agencies. These process models provide the necessary framework to test conceptual hypotheses of flow and transport at different scales and predict flow and transport behavior under a variety of climatic and thermal-loading conditions.
Time Series Models: Hidden Markov Models
Roweis, Sam
Time Series Models: Hidden Markov Models & Linear Dynamical Systems Sam Roweis Gatsby Computational before. Discrete state: { Moore and Mealy machines (engineering) { stochastic #12;nite state automata (CS chain with stochastic measurements. Gauss-Markov process in a pancake. PSfrag replacements x 1 y 1 x 2 y
Time Series Models: Hidden Markov Models
Roweis, Sam
Time Series Models: Hidden Markov Models & Linear Dynamical Systems Sam Roweis Gatsby Computational. Discrete state: { Moore and Mealy machines (engineering) { stochastic #12;nite state automata (CS with stochastic measurements. Gauss-Markov process in a pancake. PSfrag replacements x 1 y 1 x 2 y 2 x 3 y 3 x T y
Model Validation Status Review
E.L. Hardin
2001-11-28T23:59:59.000Z
The primary objective for the Model Validation Status Review was to perform a one-time evaluation of model validation associated with the analysis/model reports (AMRs) containing model input to total-system performance assessment (TSPA) for the Yucca Mountain site recommendation (SR). This review was performed in response to Corrective Action Request BSC-01-C-01 (Clark 2001, Krisha 2001) pursuant to Quality Assurance review findings of an adverse trend in model validation deficiency. The review findings in this report provide the following information which defines the extent of model validation deficiency and the corrective action needed: (1) AMRs that contain or support models are identified, and conversely, for each model the supporting documentation is identified. (2) The use for each model is determined based on whether the output is used directly for TSPA-SR, or for screening (exclusion) of features, events, and processes (FEPs), and the nature of the model output. (3) Two approaches are used to evaluate the extent to which the validation for each model is compliant with AP-3.10Q (Analyses and Models). The approaches differ in regard to whether model validation is achieved within individual AMRs as originally intended, or whether model validation could be readily achieved by incorporating information from other sources. (4) Recommendations are presented for changes to the AMRs, and additional model development activities or data collection, that will remedy model validation review findings, in support of licensing activities. The Model Validation Status Review emphasized those AMRs that support TSPA-SR (CRWMS M&O 2000bl and 2000bm). A series of workshops and teleconferences was held to discuss and integrate the review findings. The review encompassed 125 AMRs (Table 1) plus certain other supporting documents and data needed to assess model validity. The AMRs were grouped in 21 model areas representing the modeling of processes affecting the natural and engineered barriers, plus the TSPA model itself Description of the model areas is provided in Section 3, and the documents reviewed are described in Section 4. The responsible manager for the Model Validation Status Review was the Chief Science Officer (CSO) for Bechtel-SAIC Co. (BSC). The team lead was assigned by the CSO. A total of 32 technical specialists were engaged to evaluate model validation status in the 21 model areas. The technical specialists were generally independent of the work reviewed, meeting technical qualifications as discussed in Section 5.
Reiter, E.R.
1980-01-01T23:59:59.000Z
A highly sophisticated and accurate approach is described to compute on an hourly or daily basis the energy consumption for space heating by individual buildings, urban sectors, and whole cities. The need for models and specifically weather-sensitive models, composite models, and space-heating models are discussed. Development of the Colorado State University Model, based on heat-transfer equations and on a heuristic, adaptive, self-organizing computation learning approach, is described. Results of modeling energy consumption by the city of Minneapolis and Cheyenne are given. Some data on energy consumption in individual buildings are included.
ImSET 3.1: Impact of Sector Energy Technologies Model Description and User's Guide
Scott, Michael J.; Livingston, Olga V.; Balducci, Patrick J.; Roop, Joseph M.; Schultz, Robert W.
2009-05-22T23:59:59.000Z
This 3.1 version of the Impact of Sector Energy Technologies (ImSET) model represents the next generation of the previously-built ImSET model (ImSET 2.0) that was developed in 2005 to estimate the macroeconomic impacts of energy-efficient technology in buildings. In particular, a special-purpose version of the Benchmark National Input-Output (I-O) model was designed specifically to estimate the national employment and income effects of the deployment of Office of Energy Efficiency and Renewable Energy (EERE)–developed energy-saving technologies. In comparison with the previous versions of the model, this version features the use of the U.S. Bureau of Economic Analysis 2002 national input-output table and the central processing code has been moved from the FORTRAN legacy operating environment to a modern C++ code. ImSET is also easier to use than extant macroeconomic simulation models and incorporates information developed by each of the EERE offices as part of the requirements of the Government Performance and Results Act. While it does not include the ability to model certain dynamic features of markets for labor and other factors of production featured in the more complex models, for most purposes these excluded features are not critical. The analysis is credible as long as the assumption is made that relative prices in the economy would not be substantially affected by energy efficiency investments. In most cases, the expected scale of these investments is small enough that neither labor markets nor production cost relationships should seriously affect national prices as the investments are made. The exact timing of impacts on gross product, employment, and national wage income from energy efficiency investments is not well-enough understood that much special insight can be gained from the additional dynamic sophistication of a macroeconomic simulation model. Thus, we believe that this version of ImSET is a cost-effective solution to estimating the economic impacts of the development of energy-efficient technologies.
D.W. Wu; A.J. Smith
2004-11-08T23:59:59.000Z
The purpose of this report is to document the biosphere model, the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), which describes radionuclide transport processes in the biosphere and associated human exposure that may arise as the result of radionuclide release from the geologic repository at Yucca Mountain. The biosphere model is one of the process models that support the Yucca Mountain Project (YMP) Total System Performance Assessment (TSPA) for the license application (LA), TSPA-LA. The ERMYN provides the capability of performing human radiation dose assessments. This report documents the biosphere model, which includes: (1) Describing the reference biosphere, human receptor, exposure scenarios, and primary radionuclides for each exposure scenario (Section 6.1); (2) Developing a biosphere conceptual model using site-specific features, events, and processes (FEPs) (Section 6.2), the reference biosphere (Section 6.1.1), the human receptor (Section 6.1.2), and approximations (Sections 6.3.1.4 and 6.3.2.4); (3) Building a mathematical model using the biosphere conceptual model (Section 6.3) and published biosphere models (Sections 6.4 and 6.5); (4) Summarizing input parameters for the mathematical model, including the uncertainty associated with input values (Section 6.6); (5) Identifying improvements in the ERMYN compared with the model used in previous biosphere modeling (Section 6.7); (6) Constructing an ERMYN implementation tool (model) based on the biosphere mathematical model using GoldSim stochastic simulation software (Sections 6.8 and 6.9); (7) Verifying the ERMYN by comparing output from the software with hand calculations to ensure that the GoldSim implementation is correct (Section 6.10); (8) Validating the ERMYN by corroborating it with published biosphere models; comparing conceptual models, mathematical models, and numerical results (Section 7).
Dingle, Brent Michael
2007-09-17T23:59:59.000Z
This dissertation presents a robust method of modeling objects and forces for computer animation. Within this method objects and forces are represented as particles. As in most modeling systems, the movement of objects is driven by physically based...
Broader source: Energy.gov [DOE]
Hosted by the Energy Department and Western Area Power Administration, this webinar will show attendees about what collaborative, stakeholder-driven modeling is and how the modeling tools and process developed by Sandia can be used in Indian Country.
Takeuchi, Tatsu; Sugamoto, Akio
2010-01-01T23:59:59.000Z
We propose a toy model of baryogenesis which applies the `ratchet mechanism,' used frequently in the theory of biological molecular motors, to a model proposed by Dimopoulos and Susskind.
Tatsu Takeuchi; Azusa Minamizaki; Akio Sugamoto
2013-01-06T23:59:59.000Z
We propose a toy model of baryogenesis which applies the `ratchet mechanism,' used frequently in the theory of biological molecular motors, to a model proposed by Dimopoulos and Susskind.
Nonparametric Bayesian behavior modeling
Joseph, Joshua Mason
2008-01-01T23:59:59.000Z
As autonomous robots are increasingly used in complex, dynamic environments, it is crucial that the dynamic elements are modeled accurately. However, it is often difficult to generate good models due to either a lack of ...
Optimizing Preventive Maintenance Models
Optimizing Preventive Maintenance Models. Michael Bartholomew-Biggs. School of Physics Astronomy and Mathematics, University of Hertfordshire.
Community Ecology Processes, Models,
Kleyer, Michael
3 Modelling the dynamics of complex food webs 37 Ulrich Brose and Jennifer A. Dunne 3.1 Introduction
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Research and Innovation (CIRI), Computational Modeling & Simulation, Energy, Energy Storage, Energy Storage Systems, Facilities, HITEC, Infrastructure Security,...
C. Lum
2004-09-16T23:59:59.000Z
The purpose of this model report is to document the Rock Properties Model version 3.1 with regard to input data, model methods, assumptions, uncertainties and limitations of model results, and qualification status of the model. The report also documents the differences between the current and previous versions and validation of the model. The rock properties model provides mean matrix and lithophysae porosity, and the cross-correlated mean bulk density as direct input to the ''Saturated Zone Flow and Transport Model Abstraction'', MDL-NBS-HS-000021, REV 02 (BSC 2004 [DIRS 170042]). The constraints, caveats, and limitations associated with this model are discussed in Section 6.6 and 8.2. Model validation accomplished by corroboration with data not cited as direct input is discussed in Section 7. The revision of this model report was performed as part of activities being conducted under the ''Technical Work Plan for: The Integrated Site Model, Revision 05'' (BSC 2004 [DIRS 169635]). The purpose of this revision is to bring the report up to current procedural requirements and address the Regulatory Integration Team evaluation comments. The work plan describes the scope, objectives, tasks, methodology, and procedures for this process.
Introduction & Scope Model & Calibration
Kuhn, Matthew R.
Introduction & Scope Principles Model & Calibration Applications Bulk Evolution of Fabric.up.edu / kuhn / papers / EMD2007.pdf LATE #12;Introduction & Scope Principles Model & Calibration Applications Outline 1 Introduction & Scope 2 Principles 3 Model & Calibration 4 Applications Kuhn -- June 4, 2007 http
Broader source: Energy.gov [DOE]
To facilitate conformance with its fire safety directives and the implementation of a comprehensive fire protection program, DOE has developed a number of "model" program documents. These include a comprehensive model fire protection program, model fire hazards analyses and assessments, fire protection system inspection and testing procedures, and related material.
14.454 Macroeconomic Theory IV, Fall 2004
Caballero, Ricardo
This half-term course covers the macroeconomic implications of imperfections in labor markets, goods markets, credit and financial markets. The role of nominal rigidities is also an area of focus.
Three essays on empirical macroeconomics and financial markets
Chen, Lili
2012-08-21T23:59:59.000Z
This dissertation consists of three essays on empirical macroeconomics and financial markets in the United States. Although they can be considered as three independent essays, their findings are connected with each other ...
14.452 Macroeconomic Theory II, Spring 2002
Blanchard, Olivier (Olivier J.)
The basic machines of macroeconomics. Ramsey, Solow, Samuelson-Diamond, RBCs, ISLM, Mundell-Fleming, Fischer-Taylor. How they work, what shortcuts they take, and how they can be used. Half-term subject. From the course ...
Sorin Vlad; Paul Pascu; Nicolae Morariu
2010-01-20T23:59:59.000Z
The paper discusses the main ideas of the chaos theory and presents mainly the importance of the nonlinearities in the mathematical models. Chaos and order are apparently two opposite terms. The fact that in chaos can be found a certain precise symmetry (Feigenbaum numbers) is even more surprising. As an illustration of the ubiquity of chaos, three models among many other existing models that have chaotic features are presented here: the nonlinear feedback profit model, one model for the simulation of the exchange rate and one application of the chaos theory in the capital markets.
Ritchie, L.T.; Alpert, D.J.; Burke, R.P.; Johnson, J.D.; Ostmeyer, R.M.; Aldrich, D.C.; Blond, R.M.
1984-03-01T23:59:59.000Z
The CRAC2 computer code is a revised version of CRAC (Calculation of Reactor Accident Consequences) which was developed for the Reactor Safety Study. This document provides an overview of the CRAC2 code and a description of each of the models used. Significant improvements incorporated into CRAC2 include an improved weather sequence sampling technique, a new evacuation model, and new output capabilities. In addition, refinements have been made to the atmospheric transport and deposition model. Details of the modeling differences between CRAC2 and CRAC are emphasized in the model descriptions.
RELATIONSHIPS FOR MODELLING WATER FLOW IN GEOTECHNICAL CENTRIFUGE MODELS [abstract
Goodings, Deborah
1984-01-01T23:59:59.000Z
relationships between centrifuge model and prototype waterADVANCES IN GEOTECHNICAL CENTRIFUGE MODELING A symposium onAdvances in Geotechnical Centrifuge Modeling was held on
Moffat, Harry K.; Noble, David R.; Baer, Thomas A. (Procter & Gamble Co., West Chester, OH); Adolf, Douglas Brian; Rao, Rekha Ranjana; Mondy, Lisa Ann
2008-09-01T23:59:59.000Z
In this report, we summarize our work on developing a production level foam processing computational model suitable for predicting the self-expansion of foam in complex geometries. The model is based on a finite element representation of the equations of motion, with the movement of the free surface represented using the level set method, and has been implemented in SIERRA/ARIA. An empirically based time- and temperature-dependent density model is used to encapsulate the complex physics of foam nucleation and growth in a numerically tractable model. The change in density with time is at the heart of the foam self-expansion as it creates the motion of the foam. This continuum-level model uses an homogenized description of foam, which does not include the gas explicitly. Results from the model are compared to temperature-instrumented flow visualization experiments giving the location of the foam front as a function of time for our EFAR model system.
RHP: HOW CLIMATE MODELS GAIN AND EXERCISE How Climate Models Gain and Exercise Authority
Hulme, Mike
-dimensional models, intermediate complexity models, general circulation models, and Earth system models. 2 www
V. Chipman; J. Case
2002-12-20T23:59:59.000Z
The purpose of the Ventilation Model is to simulate the heat transfer processes in and around waste emplacement drifts during periods of forced ventilation. The model evaluates the effects of emplacement drift ventilation on the thermal conditions in the emplacement drifts and surrounding rock mass, and calculates the heat removal by ventilation as a measure of the viability of ventilation to delay the onset of peak repository temperature and reduce its magnitude. The heat removal by ventilation is temporally and spatially dependent, and is expressed as the fraction of heat carried away by the ventilation air compared to the fraction of heat produced by radionuclide decay. One minus the heat removal is called the wall heat fraction, or the remaining amount of heat that is transferred via conduction to the surrounding rock mass. Downstream models, such as the ''Multiscale Thermohydrologic Model'' (BSC 2001), use the wall heat fractions as outputted from the Ventilation Model to initialize their post-closure analyses. The Ventilation Model report was initially developed to analyze the effects of preclosure continuous ventilation in the Engineered Barrier System (EBS) emplacement drifts, and to provide heat removal data to support EBS design. Revision 00 of the Ventilation Model included documentation of the modeling results from the ANSYS-based heat transfer model. Revision 01 ICN 01 included the results of the unqualified software code MULTIFLUX to assess the influence of moisture on the ventilation efficiency. The purposes of Revision 02 of the Ventilation Model are: (1) To validate the conceptual model for preclosure ventilation of emplacement drifts and verify its numerical application in accordance with new procedural requirements as outlined in AP-SIII-10Q, Models (Section 7.0). (2) To satisfy technical issues posed in KTI agreement RDTME 3.14 (Reamer and Williams 2001a). Specifically to demonstrate, with respect to the ANSYS ventilation model, the adequacy of the discretization (Section 6.2.3.1), and the downstream applicability of the model results (i.e. wall heat fractions) to initialize post-closure thermal models (Section 6.6). (3) To satisfy the remainder of KTI agreement TEF 2.07 (Reamer and Williams 2001b). Specifically to provide the results of post-test ANSYS modeling of the Atlas Facility forced convection tests (Section 7.1.2). This portion of the model report also serves as a validation exercise per AP-SIII.10Q, Models, for the ANSYS ventilation model. (4) To asses the impacts of moisture on the ventilation efficiency.
Three essays in finance and macroeconomics
Panageas, Stavros
2005-01-01T23:59:59.000Z
In the first chapter I investigate whether firms' physical investments react to the speculative over-pricing of their securities. I introduce investment considerations in an infinite horizon continuous time model with short ...
Hammerand, Daniel Carl; Scherzinger, William Mark
2007-09-01T23:59:59.000Z
The Library of Advanced Materials for Engineering (LAME) provides a common repository for constitutive models that can be used in computational solid mechanics codes. A number of models including both hypoelastic (rate) and hyperelastic (total strain) constitutive forms have been implemented in LAME. The structure and testing of LAME is described in Scherzinger and Hammerand ([3] and [4]). The purpose of the present report is to describe the material models which have already been implemented into LAME. The descriptions are designed to give useful information to both analysts and code developers. Thus far, 33 non-ITAR/non-CRADA protected material models have been incorporated. These include everything from the simple isotropic linear elastic models to a number of elastic-plastic models for metals to models for honeycomb, foams, potting epoxies and rubber. A complete description of each model is outside the scope of the current report. Rather, the aim here is to delineate the properties, state variables, functions, and methods for each model. However, a brief description of some of the constitutive details is provided for a number of the material models. Where appropriate, the SAND reports available for each model have been cited. Many models have state variable aliases for some or all of their state variables. These alias names can be used for outputting desired quantities. The state variable aliases available for results output have been listed in this report. However, not all models use these aliases. For those models, no state variable names are listed. Nevertheless, the number of state variables employed by each model is always given. Currently, there are four possible functions for a material model. This report lists which of these four methods are employed in each material model. As far as analysts are concerned, this information is included only for the awareness purposes. The analyst can take confidence in the fact that model has been properly implemented and the methods necessary for achieving accurate and efficient solutions have been incorporated. The most important method is the getStress function where the actual material model evaluation takes place. Obviously, all material models incorporate this function. The initialize function is included in most material models. The initialize function is called once at the beginning of an analysis and its primary purpose is to initialize the material state variables associated with the model. Many times, there is some information which can be set once per load step. For instance, we may have temperature dependent material properties in an analysis where temperature is prescribed. Instead of setting those parameters at each iteration in a time step, it is much more efficient to set them once per time step at the beginning of the step. These types of load step initializations are performed in the loadStepInit method. The final function used by many models is the pcElasticModuli method which changes the moduli that are to be used by the elastic preconditioner in Adagio. The moduli for the elastic preconditioner are set during the initialization of Adagio. Sometimes, better convergence can be achieved by changing these moduli for the elastic preconditioner. For instance, it typically helps to modify the preconditioner when the material model has temperature dependent moduli. For many material models, it is not necessary to change the values of the moduli that are set initially in the code. Hence, those models do not have pcElasticModuli functions. All four of these methods receive information from the matParams structure as described by Scherzinger and Hammerand.
Sandia National Laboratories: combustion modeling
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
modeling Direct Measurement of Key Molecule Will Increase Accuracy of Combustion Models On March 3, 2015, in Computational Modeling & Simulation, CRF, Energy, Facilities, News,...
Sandia National Laboratories: Systems Modeling
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AnalysisSystems Modeling Systems Modeling Technical Expertise Projects Demos Partners Biographies Publications Technical Expertise Computer Assisted (CA) System dynamics modeling...
Larson, J. W.; Jacob, R. L.; Foster, I.; Guo, J.
2001-04-13T23:59:59.000Z
The advent of coupled earth system models has raised an important question in parallel computing: What is the most effective method for coupling many parallel models to form a high-performance coupled modeling system? We present our solution to this problem--The Model Coupling Toolkit (MCT). We explain how our effort to construct the Next-Generation Coupler for NCAR Community Climate System Model motivated us to create this toolkit. We describe in detail the conceptual design of the MCT and explain its usage in constructing parallel coupled models. We present preliminary performance results for the toolkit's parallel data transfer facilities. Finally, we outline an agenda for future development of the MCT.
Solid model design simplification
Ames, A.L.; Rivera, J.J.; Webb, A.J.; Hensinger, D.M.
1997-12-01T23:59:59.000Z
This paper documents an investigation of approaches to improving the quality of Pro/Engineer-created solid model data for use by downstream applications. The investigation identified a number of sources of problems caused by deficiencies in Pro/Engineer`s geometric engine, and developed prototype software capable of detecting many of these problems and guiding users towards simplified, useable models. The prototype software was tested using Sandia production solid models, and provided significant leverage in attacking the simplification problem.
Studied models Numerical scheme
Helluy, Philippe
: Sound speed: c0 = 1500m/s Pressure: p0 = 105Pa Density: 0 = 1000kg/m3 Vapor: 1 = 1.4 (1 = 0) Water: 2. Helluy, S. MÂ¨uller HÂ´el`ene Mathis Micro-Macro Modelling and Simulation of Liquid-Vapour Flows #12 approximations HÂ´el`ene Mathis Micro-Macro Modelling and Simulation of Liquid-Vapour Flows #12;Studied models
Modeling urban runoff characteristics
Garcia, Alfred
1987-01-01T23:59:59.000Z
the impact that urban1zation has on storm runoff. An accurate method is required to model urban watersheds and to simulate storm runoff. Research Objectives The purpose of this research was to quantitatively define the effect that urbanization has... are typical in the sense that they follow the steps outlined above. These models include: the British Road Research Laboratory Nodel (RRL), 1962; the Chicago Hydrograph Method (NERO), 1970; the Environmental Protection Agency Storm Water Management Model...
Frantzis, L.; Graham, S.; Katofsky, R.; Sawyer, H.
2008-02-01T23:59:59.000Z
This report summarizes work to better understand the structure of future photovoltaics business models and the research, development, and demonstration required to support their deployment.
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Sandia Will Host PV Bankability Workshop at Solar Power International (SPI) 2013 Computational Modeling & Simulation, Distribution Grid Integration, Energy, Facilities, Grid...
Lincoln, Don
2014-08-12T23:59:59.000Z
Fermilab scientist Don Lincoln describes the Standard Model of particle physics, covering both the particles that make up the subatomic realm and the forces that govern them.
Sandia National Laboratories: Modeling
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Modeling Widespread Hydrogen Fueling Infrastructure Is the Goal of H2FIRST Project On June 4, 2014, in Capabilities, Center for Infrastructure Research and Innovation (CIRI),...
Fitzpatrick, B. A.; Gangadhar, K.
1992-01-01T23:59:59.000Z
operating areas or "units" in HOCEM, though some of the units are as simple as cooling towers and others as complex as production areas. A VAX-based spreadsheet software program, Graphic Outlook, from stone Mountain Computing was selected as the model... an energy model which is modular in structure and granular in function. It was also our intention to develop the model on a VAX based software platform so that an on-line plant information system could be linked to the model. Graphic Outlook, a VAX...
Epidemic modeling techniques for smallpox
McLean, Cory Y. (Cory Yuen Fu)
2004-01-01T23:59:59.000Z
Infectious disease models predict the impact of outbreaks. Discrepancies between model predictions stem from both the disease parameters used and the underlying mathematics of the models. Smallpox has been modeled extensively ...
Model selection in compositional spaces
Grosse, Roger Baker
2014-01-01T23:59:59.000Z
We often build complex probabilistic models by composing simpler models-using one model to generate parameters or latent variables for another model. This allows us to express complex distributions over the observed data ...
Better Buildings Neighborhood Program Business Models Guide:...
Broader source: Energy.gov (indexed) [DOE]
Guide: HVAC Contractor Business Model Better Buildings Neighborhood Program Business Models Guide: HVAC Contractor Business Model HVAC contractor business model...
Introduction Improved Model Alternative Statistical Model
Regression Linear "Linear" is for the parameter(s) e.g. yi = 0 +1xi +i Non-linear "Non-linear Square Regression Linear "Linear" is for the parameter(s) e.g. yi = 0 +1xi +i #12;Introduction Improved Model Recall of Ordinary Least-Square Regression Least Square Regression Linear "Linear
Stuart Raby
2007-10-19T23:59:59.000Z
I review some of the latest directions in supersymmetric model building, focusing on SUSY breaking mechanisms in the minimal supersymmetric standard model [MSSM], the "little" hierarchy and $\\mu$ problems, etc. I then discuss SUSY GUTs and UV completions in string theory.
Stuart Raby
2009-11-06T23:59:59.000Z
In this talk I review some recent progress in heterotic and F theory model building. I then consider work in progress attempting to find the F theory dual to a class of heterotic orbifold models which come quite close to the MSSM.
Abadi, Martín
of hardware, software, and set-up information on which the security of the system depends. Also: · The part the limitations of models. Binary-level exploits despite "secure" languages. Power analysis on "secure. · Used by many people, including protocol designers. · Lacked a clear link with operational models
Dingle, Brent Michael
2007-09-17T23:59:59.000Z
and the lifetime of each particle is infinite. 2.1.2 Growing Patterns Particle systems can also model static or instantaneous things. They have been used to model plants and fracture patterns [21, 22] as well as lightning, frost, ice or snowflakes [23... mixes with dirt particles to form mud particles................................................... 121 61 Mud drying and cracking............................................................................................... 122 62 Ice melting...
Composite Load Model Evaluation
Lu, Ning; Qiao, Hong (Amy)
2007-09-30T23:59:59.000Z
The WECC load modeling task force has dedicated its effort in the past few years to develop a composite load model that can represent behaviors of different end-user components. The modeling structure of the composite load model is recommended by the WECC load modeling task force. GE Energy has implemented this composite load model with a new function CMPLDW in its power system simulation software package, PSLF. For the last several years, Bonneville Power Administration (BPA) has taken the lead and collaborated with GE Energy to develop the new composite load model. Pacific Northwest National Laboratory (PNNL) and BPA joint force and conducted the evaluation of the CMPLDW and test its parameter settings to make sure that: • the model initializes properly, • all the parameter settings are functioning, and • the simulation results are as expected. The PNNL effort focused on testing the CMPLDW in a 4-bus system. An exhaustive testing on each parameter setting has been performed to guarantee each setting works. This report is a summary of the PNNL testing results and conclusions.
Jacob J. Jacobson; Gretchen Matthern
2007-04-01T23:59:59.000Z
System Dynamics is a computer-aided approach to evaluating the interrelationships of different components and activities within complex systems. Recently, System Dynamics models have been developed in areas such as policy design, biological and medical modeling, energy and the environmental analysis, and in various other areas in the natural and social sciences. The real power of System Dynamic modeling is gaining insights into total system behavior as time, and system parameters are adjusted and the effects are visualized in real time. System Dynamic models allow decision makers and stakeholders to explore long-term behavior and performance of complex systems, especially in the context of dynamic processes and changing scenarios without having to wait decades to obtain field data or risk failure if a poor management or design approach is used. The Idaho National Laboratory recently has been developing a System Dynamic model of the US Nuclear Fuel Cycle. The model is intended to be used to identify and understand interactions throughout the entire nuclear fuel cycle and suggest sustainable development strategies. This paper describes the basic framework of the current model and presents examples of useful insights gained from the model thus far with respect to sustainable development of nuclear power.
Jones, Katherine A.; Finley, Patrick D.; Moore, Thomas W.; Nozick, Linda Karen; Martin, Nathaniel; Bandlow, Alisa; Detry, Richard Joseph; Evans, Leland B.; Berger, Taylor Eugen
2013-09-01T23:59:59.000Z
Infectious diseases can spread rapidly through healthcare facilities, resulting in widespread illness among vulnerable patients. Computational models of disease spread are useful for evaluating mitigation strategies under different scenarios. This report describes two infectious disease models built for the US Department of Veteran Affairs (VA) motivated by a Varicella outbreak in a VA facility. The first model simulates disease spread within a notional contact network representing staff and patients. Several interventions, along with initial infection counts and intervention delay, were evaluated for effectiveness at preventing disease spread. The second model adds staff categories, location, scheduling, and variable contact rates to improve resolution. This model achieved more accurate infection counts and enabled a more rigorous evaluation of comparative effectiveness of interventions.
Hughes, T.J.; Fastook, J.L. [Univ. of Maine, Orono, ME (United States). Institute for Quaternary Studies
1994-05-01T23:59:59.000Z
The University of Maine conducted this study for Pacific Northwest Laboratory (PNL) as part of a global climate modeling task for site characterization of the potential nuclear waste respository site at Yucca Mountain, NV. The purpose of the study was to develop a global ice sheet dynamics model that will forecast the three-dimensional configuration of global ice sheets for specific climate change scenarios. The objective of the third (final) year of the work was to produce ice sheet data for glaciation scenarios covering the next 100,000 years. This was accomplished using both the map-plane and flowband solutions of our time-dependent, finite-element gridpoint model. The theory and equations used to develop the ice sheet models are presented. Three future scenarios were simulated by the model and results are discussed.
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Newville, Matthew
The XAFS Model Compound Library contains XAFS data on model compounds. The term "model" compounds refers to compounds of homogeneous and well-known crystallographic or molecular structure. Each data file in this library has an associated atoms.inp file that can be converted to a feff.inp file using the program ATOMS. (See the related Searchable Atoms.inp Archive at http://cars9.uchicago.edu/~newville/adb/) This Library exists because XAFS data on model compounds is useful for several reasons, including comparing to unknown data for "fingerprinting" and testing calculations and analysis methods. The collection here is currently limited, but is growing. The focus to date has been on inorganic compounds and minerals of interest to the geochemical community. [Copied, with editing, from http://cars9.uchicago.edu/~newville/ModelLib/
Qiong-Tao Xie; Shuai Cui; Jun-Peng Cao; Luigi Amico; Heng Fan
2014-05-20T23:59:59.000Z
We define the anisotropic Rabi model as the generalization of the spin-boson Rabi model: The Hamiltonian system breaks the parity symmetry; the rotating and counter-rotating interactions are governed by two different coupling constants; a further parameter introduces a phase factor in the counter-rotating terms. The exact energy spectrum and eigenstates of the generalized model is worked out. The solution is obtained as an elaboration of a recent proposed method for the isotropic limit of the model. In this way, we provide a long sought solution of a cascade of models with immediate relevance in different physical fields, including i) quantum optics: two-level atom in single mode cross electric and magnetic fields; ii) solid state physics: electrons in semiconductors with Rashba and Dresselhaus spin-orbit coupling; iii) mesoscopic physics: Josephson junctions flux-qubit quantum circuits.
J.M. Scaglione
2003-03-12T23:59:59.000Z
The purpose of the ''Criticality Model Report'' is to validate the MCNP (CRWMS M&O 1998h) code's ability to accurately predict the effective neutron multiplication factor (k{sub eff}) for a range of conditions spanned by various critical configurations representative of the potential configurations commercial reactor assemblies stored in a waste package may take. Results of this work are an indication of the accuracy of MCNP for calculating eigenvalues, which will be used as input for criticality analyses for spent nuclear fuel (SNF) storage at the proposed Monitored Geologic Repository. The scope of this report is to document the development and validation of the criticality model. The scope of the criticality model is only applicable to commercial pressurized water reactor fuel. Valid ranges are established as part of the validation of the criticality model. This model activity follows the description in BSC (2002a).
Three Essays in Macroeconomics and Financial Economics
Kacaribu, Febrio
2014-05-31T23:59:59.000Z
, the expected inflation and output are more consistent with the theory suggested by the model. Value at Risk (VaR) Based on GARCH-Type Estimated Volatility of 5 Stock Markets The Great Recession has stirred up debate about risk management practices. Value...
SPAR Model Structural Efficiencies
John Schroeder; Dan Henry
2013-04-01T23:59:59.000Z
The Nuclear Regulatory Commission (NRC) and the Electric Power Research Institute (EPRI) are supporting initiatives aimed at improving the quality of probabilistic risk assessments (PRAs). Included in these initiatives are the resolution of key technical issues that are have been judged to have the most significant influence on the baseline core damage frequency of the NRC’s Standardized Plant Analysis Risk (SPAR) models and licensee PRA models. Previous work addressed issues associated with support system initiating event analysis and loss of off-site power/station blackout analysis. The key technical issues were: • Development of a standard methodology and implementation of support system initiating events • Treatment of loss of offsite power • Development of standard approach for emergency core cooling following containment failure Some of the related issues were not fully resolved. This project continues the effort to resolve outstanding issues. The work scope was intended to include substantial collaboration with EPRI; however, EPRI has had other higher priority initiatives to support. Therefore this project has addressed SPAR modeling issues. The issues addressed are • SPAR model transparency • Common cause failure modeling deficiencies and approaches • Ac and dc modeling deficiencies and approaches • Instrumentation and control system modeling deficiencies and approaches
Model Discrepancy in the Saturated Path Hydrology Model: Initial Analysis
Oakley, Jeremy
Model Discrepancy in the Saturated Path Hydrology Model: Initial Analysis Tom Fricker University discrepancy in the Saturated Path Hydrology Model (logSPM, Kuczera et al., 2006). The purpose). 1 #12;3 The Saturated Path Hydrology Model We consider the Saturated Path Hydrology Model (log
Modeling EERE Deployment Programs
Cort, Katherine A.; Hostick, Donna J.; Belzer, David B.; Livingston, Olga V.
2007-11-08T23:59:59.000Z
The purpose of this report is to compile information and conclusions gathered as part of three separate tasks undertaken as part of the overall project, “Modeling EERE Deployment Programs,” sponsored by the Planning, Analysis, and Evaluation office within the Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE). The purpose of the project was to identify and characterize the modeling of deployment programs within the EERE Technology Development (TD) programs, address improvements to modeling in the near term, and note gaps in knowledge where future research is needed.
Modeling Compressed Turbulence
Israel, Daniel M. [Los Alamos National Laboratory
2012-07-13T23:59:59.000Z
From ICE to ICF, the effect of mean compression or expansion is important for predicting the state of the turbulence. When developing combustion models, we would like to know the mix state of the reacting species. This involves density and concentration fluctuations. To date, research has focused on the effect of compression on the turbulent kinetic energy. The current work provides constraints to help development and calibration for models of species mixing effects in compressed turbulence. The Cambon, et al., re-scaling has been extended to buoyancy driven turbulence, including the fluctuating density, concentration, and temperature equations. The new scalings give us helpful constraints for developing and validating RANS turbulence models.
Semiempirical models of sunspots
Sobotka, M.
1985-10-01T23:59:59.000Z
On the basis of spectroscopic observations in the Mg I b1, Fe I 5434 A, and Na I D2 lines, 12 semiempirical models of sunspots of different sizes (r umbral radius, 2-8 arcsec) are constructed for several stages of their development. It is shown that the model of an umbra varies greatly with an increase in umbral radius up to a limiting value of 3.5-4 arcsec (Su = 7.5 MSH), after which the changes are small, and for a fixed umbral radius there is no significant difference between the models of sunspots in different phases of their development. 16 references.
RSMASS system model development
Marshall, A.C.; Gallup, D.R.
1998-07-01T23:59:59.000Z
RSMASS system mass models have been used for more than a decade to make rapid estimates of space reactor power system masses. This paper reviews the evolution of the RSMASS models and summarizes present capabilities. RSMASS has evolved from a simple model used to make rough estimates of space reactor and shield masses to a versatile space reactor power system model. RSMASS uses unique reactor and shield models that permit rapid mass optimization calculations for a variety of space reactor power and propulsion systems. The RSMASS-D upgrade of the original model includes algorithms for the balance of the power system, a number of reactor and shield modeling improvements, and an automatic mass optimization scheme. The RSMASS-D suite of codes cover a very broad range of reactor and power conversion system options as well as propulsion and bimodal reactor systems. Reactor choices include in-core and ex-core thermionic reactors, liquid metal cooled reactors, particle bed reactors, and prismatic configuration reactors. Power conversion options include thermoelectric, thermionic, Stirling, Brayton, and Rankine approaches. Program output includes all major component masses and dimensions, efficiencies, and a description of the design parameters for a mass optimized system. In the past, RSMASS has been used as an aid to identify and select promising concepts for space power applications. The RSMASS modeling approach has been demonstrated to be a valuable tool for guiding optimization of the power system design; consequently, the model is useful during system design and development as well as during the selection process. An improved in-core thermionic reactor system model RSMASS-T is now under development. The current development of the RSMASS-T code represents the next evolutionary stage of the RSMASS models. RSMASS-T includes many modeling improvements and is planned to be more user-friendly. RSMASS-T will be released as a fully documented, certified code at the end of 1998. A radioisotope space power system model RISMASS is also under development. RISMASS will optimize and predict system masses for radioisotope power sources coupled with close-spaced thermionic diodes. Although RSMASS-D models have been developed for a broad variety of space nuclear power and propulsion systems, only a few concepts will be included in the releasable RSMASS-T computer code. A follow-on effort is recommended to incorporate all previous models as well as solar power system models into one general code. The proposed Space Power and propulsion system MASS (SPMASS) code would provide a consistent analysis tool for comparing a very broad range of alternative power and propulsion systems for any required power level and operating conditions. As for RSMASS-T the SPMASS model should be a certified, fully documented computer code available for general use. The proposed computer program would provide space mission planners with the capability to quickly and cost effectively explore power system options for any space mission. The code should be applicable for power requirements from as low as a few milliwatts (solar and isotopic system options) to many megawatts for reactor power and propulsion systems.
Taylor, Paul
The tilt intonation model facilitates automatic analysis and synthesis of intonation. The analysis algorithm detects intonational events in F0 contours and parameterises them in terms of the continuously varying parameters. ...
Mathematical Modeling Arnold Neumaier
Neumaier, Arnold
· Blood circulation models 4 #12;Meteorology · Weather prediction · Climate prediction (global warming (genetic variability) Chemical engineering · Chemical equilibrium · Planning of production units Chemistry recognition · Face recognition Economics · Labor data analysis Electrical engineering · Stability of electric
Sandia National Laboratories: Modeling
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
to address the most challenging and demanding climate-change issues. Accelerated Climate Modeling for Energy (ACME) is designed to accel-erate the development and applica-tion of...
Statistical Language Modelling
Gotoh, Yoshihiko; Renals, Steve
2003-01-01T23:59:59.000Z
the underlying models from large amounts of data. Importantly, such statistical approaches often produce useful results. Statistical approaches seem especially well-suited to spoken language which is often spontaneous or conversational and not readily amenable...
Bagger, J.A.
1984-09-01T23:59:59.000Z
We begin to construct the most general supersymmetric Lagrangians in one, two and four dimensions. We find that the matter couplings have a natural interpretation in the language of the nonlinear sigma model.
Mathematical Modeling Arnold Neumaier
Neumaier, Arnold
units Chemistry #15; Chemical reaction dynamics #15; Molecular modeling #15; Electronic structure Biology #15; Protein folding #15; Humane genome project 2 #12; #15; Population dynamics #15; Morphogenesis calculations Computer science #15; Image processing #15; Realistic computer graphics (ray tracing
Modeling Diverse Communities of
Follows, Mick
, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139. Such models are suited to considering ecological questions, such as the regulation of patterns of biodiversity). Microbial community structure, in turn, regulates the environment and biogeochemical pathways including
Mandal, Esan
2004-09-30T23:59:59.000Z
The goal of this thesis is to introduce new methods to create intricate perforated shapes in a computing environment. Modeling shapes with a large number of holes and handles, while requiring minimal human interaction, is an unsolved research...
Morphological modeling of neurons
Mulchandani, Kishore
1995-01-01T23:59:59.000Z
generation of dendritic and axonal trees are defined. Experiments with various stochastic L-system models for pyramidal, motoneuron, and Purkinje cells are reported which generate synthetic neurons with promising proximity to neurons in the neurobiology...
Albert, Réka
susceptibility to disease is homogenous across the network degree distribution is roughly symmetric much the network highly skewed distribution of contacts (follows a discretized Weibull distribution) most nodesIntroduction ERGM Model Fitting Simulation References Using social network characteristics
Warren, Jeff; Iversen, Colleen; Brooks, Jonathan; Ricciuto, Daniel
2014-06-26T23:59:59.000Z
Using dogwood trees, Oak Ridge National Laboratory researchers are gaining a better understanding of the role photosynthesis and respiration play in the atmospheric carbon dioxide cycle. Their findings will aid computer modelers in improving the accuracy of climate simulations.
Warren, Jeff; Iversen, Colleen; Brooks, Jonathan; Ricciuto, Daniel
2012-10-31T23:59:59.000Z
Using dogwood trees, Oak Ridge National Laboratory researchers are gaining a better understanding of the role photosynthesis and respiration play in the atmospheric carbon dioxide cycle. Their findings will aid computer modelers in improving the accuracy of climate simulations.
Stuart Raby
2008-08-27T23:59:59.000Z
I discuss an evolution of SUSY GUT model building, starting with the construction of 4d GUTs, to orbifold GUTs and finally to orbifold GUTs within the heterotic string. This evolution is an attempt to obtain realistic string models, perhaps relevant for the LHC. This review is in memory of the sudden loss of Julius Wess, a leader in the field, who will be sorely missed.
Improved steamflood analytical model
Chandra, Suandy
2006-10-30T23:59:59.000Z
two field cases, a 45x23x8 model was used that represented 1/8 of a 10-acre 5-spot pattern unit, using typical rock and reservoir fluid properties. In the SPE project case, three models were used: 23x12x12 (2.5 ac), 31x16x12 (5 ac) and 45x23x8 (10 ac...
Theory Modeling and Simulation
Shlachter, Jack [Los Alamos National Laboratory
2012-08-23T23:59:59.000Z
Los Alamos has a long history in theory, modeling and simulation. We focus on multidisciplinary teams that tackle complex problems. Theory, modeling and simulation are tools to solve problems just like an NMR spectrometer, a gas chromatograph or an electron microscope. Problems should be used to define the theoretical tools needed and not the other way around. Best results occur when theory and experiments are working together in a team.
Generic CSP Performance Model for NREL's System Advisor Model: Preprint
Wagner, M. J.; Zhu, G.
2011-08-01T23:59:59.000Z
The suite of concentrating solar power (CSP) modeling tools in NREL's System Advisor Model (SAM) includes technology performance models for parabolic troughs, power towers, and dish-Stirling systems. Each model provides the user with unique capabilities that are catered to typical design considerations seen in each technology. Since the scope of the various models is generally limited to common plant configurations, new CSP technologies, component geometries, and subsystem combinations can be difficult to model directly in the existing SAM technology models. To overcome the limitations imposed by representative CSP technology models, NREL has developed a 'Generic Solar System' (GSS) performance model for use in SAM. This paper discusses the formulation and performance considerations included in this model and verifies the model by comparing its results with more detailed models.
Modeling Science David M. Blei
Blei, David M.
Modeling Science David M. Blei Department of Computer Science Princeton University April 17, 2008 Joint work with John Lafferty (CMU) D. Blei Modeling Science 1 / 53 #12;Modeling Science Science, August called topic models. · Use this structure for browsing, search, and similarity. D. Blei Modeling Science
Quantum Semiconductor Modeling Ansgar Jungel
Jüngel, Ansgar
Quantum Semiconductor Modeling Ansgar J¨ungel Vienna University of Technology, Austria www.jungel.at.vu Ansgar J¨ungel (TU Wien) Quantum Semiconductor Modeling www.jungel.at.vu 1 / 154 #12;Contents 1 Introduction 2 Semiconductor modeling 3 Microscopic quantum models Density matrices Schr¨odinger models Wigner
Johnson, Jason K [Los Alamos National Laboratory; Chertkov, Michael [Los Alamos National Laboratory; Netrapalli, Praneeth [STUDENT UT AUSTIN
2010-11-12T23:59:59.000Z
Inference and learning of graphical models are both well-studied problems in statistics and machine learning that have found many applications in science and engineering. However, exact inference is intractable in general graphical models, which suggests the problem of seeking the best approximation to a collection of random variables within some tractable family of graphical models. In this paper, we focus our attention on the class of planar Ising models, for which inference is tractable using techniques of statistical physics [Kac and Ward; Kasteleyn]. Based on these techniques and recent methods for planarity testing and planar embedding [Chrobak and Payne], we propose a simple greedy algorithm for learning the best planar Ising model to approximate an arbitrary collection of binary random variables (possibly from sample data). Given the set of all pairwise correlations among variables, we select a planar graph and optimal planar Ising model defined on this graph to best approximate that set of correlations. We present the results of numerical experiments evaluating the performance of our algorithm.
Lykken, Joseph D.; /Fermilab
2010-05-01T23:59:59.000Z
'BSM physics' is a phrase used in several ways. It can refer to physical phenomena established experimentally but not accommodated by the Standard Model, in particular dark matter and neutrino oscillations (technically also anything that has to do with gravity, since gravity is not part of the Standard Model). 'Beyond the Standard Model' can also refer to possible deeper explanations of phenomena that are accommodated by the Standard Model but only with ad hoc parameterizations, such as Yukawa couplings and the strong CP angle. More generally, BSM can be taken to refer to any possible extension of the Standard Model, whether or not the extension solves any particular set of puzzles left unresolved in the SM. In this general sense one sees reference to the BSM 'theory space' of all possible SM extensions, this being a parameter space of coupling constants for new interactions, new charges or other quantum numbers, and parameters describing possible new degrees of freedom or new symmetries. Despite decades of model-building it seems unlikely that we have mapped out most of, or even the most interesting parts of, this theory space. Indeed we do not even know what is the dimensionality of this parameter space, or what fraction of it is already ruled out by experiment. Since Nature is only implementing at most one point in this BSM theory space (at least in our neighborhood of space and time), it might seem an impossible task to map back from a finite number of experimental discoveries and measurements to a unique BSM explanation. Fortunately for theorists the inevitable limitations of experiments themselves, in terms of resolutions, rates, and energy scales, means that in practice there are only a finite number of BSM model 'equivalence classes' competing at any given time to explain any given set of results. BSM phenomenology is a two-way street: not only do experimental results test or constrain BSM models, they also suggest - to those who get close enough to listen - new directions for BSM model building. Contrary to popular shorthand jargon, supersymmetry (SUSY) is not a BSM model: it is a symmetry principle characterizing a BSM framework with an infinite number of models. Indeed we do not even know the full dimensionality of the SUSY parameter space, since this presumably includes as-yet-unexplored SUSY-breaking mechanisms and combinations of SUSY with other BSM principles. The SUSY framework plays an important role in BSM physics partly because it includes examples of models that are 'complete' in the same sense as the Standard Model, i.e. in principle the model predicts consequences for any observable, from cosmology to b physics to precision electroweak data to LHC collisions. Complete models, in addition to being more explanatory and making connections between diverse phenomena, are also much more experimentally constrained than strawman scenarios that focus more narrowly. One sometimes hears: 'Anything that is discovered at the LHC will be called supersymmetry.' There is truth behind this joke in the sense that the SUSY framework incorporates a vast number of possible signatures accessible to TeV colliders. This is not to say that the SUSY framework is not testable, but we are warned that one should pay attention to other promising frameworks, and should be prepared to make experimental distinctions between them. Since there is no formal classification of BSM frameworks I have invented my own. At the highest level there are six parent frameworks: (1) Terascale supersymmetry; (2) PNGB Higgs; (3) New strong dynamics; (4) Warped extra dimensions; (5) Flat extra dimensions; and (6) Hidden valleys. Here is the briefest possible survey of each framework, with the basic idea, the generic new phenomena, and the energy regime over which the framework purports to make comprehensive predictions.
book review: Species distribution models for species distribution modellers
Dormann, Carsten F
2012-01-01T23:59:59.000Z
Mapping species distributions: spa? tial inference and news and update book review Species distribution models for species distribution modellers Ecological niches and
Conceptual Geologic Model and Native State Model of the Roosevelt...
Springs Hydrothermal System Jump to: navigation, search OpenEI Reference LibraryAdd to library Conference Paper: Conceptual Geologic Model and Native State Model of the...
Data Modeling and Theory Construction
Jan de Leeuw
2011-01-01T23:59:59.000Z
MODELING AND THEORY CONSTRUCTION F. Suppe. The Structure ofMODELING AND THEORY CONSTRUCTION JAN DE LEEUW This paper wasMODELING AND THEORY CONSTRUCTION F????? 1. The Scientist
Foothills Model Forest Business Strategy
Foothills Model Forest Business Strategy 2007 Â 2012 November 2006 #12;Page ii TABLE OF CONTENTS FOOTHILLS MODEL FOREST Business Strategy for April 2007 to March 2012 1.0 INTRODUCTION....................................................................................................................... 4 2.4 Foothills Model Forest Values
Modal aerosol dynamics modeling
Whitby, E.R.; McMurry, P.H.; Shankar, U.; Binkowski, F.S.
1991-02-01T23:59:59.000Z
The report presents the governing equations for representing aerosol dynamics, based on several different representations of the aerosol size distribution. Analytical and numerical solution techniques for these governing equations are also reviewed. Described in detail is a computationally efficient numerical technique for simulating aerosol behavior in systems undergoing simultaneous heat transfer, fluid flow, and mass transfer in and between the gas and condensed phases. The technique belongs to a general class of models known as modal aerosol dynamics (MAD) models. These models solve for the temporal and spatial evolution of the particle size distribution function. Computational efficiency is achieved by representing the complete aerosol population as a sum of additive overlapping populations (modes), and solving for the time rate of change of integral moments of each mode. Applications of MAD models for simulating aerosol dynamics in continuous stirred tank aerosol reactors and flow aerosol reactors are provided. For the application to flow aerosol reactors, the discussion is developed in terms of considerations for merging a MAD model with the SIMPLER routine described by Patankar (1980). Considerations for incorporating a MAD model into the U.S. Environmental Protection Agency's Regional Particulate Model are also described. Numerical and analytical techniques for evaluating the size-space integrals of the modal dynamics equations (MDEs) are described. For multimodal logonormal distributions, an analytical expression for the coagulation integrals of the MDEs, applicable for all size regimes, is derived, and is within 20% of accurate numerical evaluation of the same moment coagulation integrals. A computationally efficient integration technique, based on Gauss-Hermite numerical integration, is also derived.
From Logical to Distributional Models
Anne Preller
2014-12-30T23:59:59.000Z
The paper relates two variants of semantic models for natural language, logical functional models and compositional distributional vector space models, by transferring the logic and reasoning from the logical to the distributional models. The geometrical operations of quantum logic are reformulated as algebraic operations on vectors. A map from functional models to vector space models makes it possible to compare the meaning of sentences word by word.
Shaon Sahoo; Soumya Kanti Ganguly
2015-02-01T23:59:59.000Z
Contrary to the actual nonlinear Glauber model (NLGM), the linear Glauber model (LGM) is exactly solvable, although the detailed balance condition is not generally satisfied. This motivates us to address the issue of writing the transition rate ($w_j$) in a best possible linear form such that the mean squared error in satisfying the detailed balance condition is least. The advantage of this work is that, by studying the LGM analytically, we will be able to anticipate how the kinetic properties of an arbitrary Ising system depend on the temperature and the coupling constants. The analytical expressions for the optimal values of the parameters involved in the linear $w_j$ are obtained using a simple Moore-Penrose pseudoinverse matrix. This approach is quite general, in principle applicable to any system and can reproduce the exact results for one dimensional Ising system. In the continuum limit, we get a linear time-dependent Ginzburg-Landau (TDGL) equation from the Glauber's microscopic model of non-conservative dynamics. We analyze the critical and dynamic properties of the model, and show that most of the important results obtained in different studies can be reproduced by our new mathematical approach. We will also show in this paper that the effect of magnetic field can easily be studied within our approach; in particular, we show that the inverse of relaxation time changes quadratically with (weak) magnetic field and that the fluctuation-dissipation theorem is valid for our model.
Advanced Chemistry Basins Model
Blanco, Mario; Cathles, Lawrence; Manhardt, Paul; Meulbroek, Peter; Tang, Yongchun
2003-02-13T23:59:59.000Z
The objective of this project is to: (1) Develop a database of additional and better maturity indicators for paleo-heat flow calibration; (2) Develop maturation models capable of predicting the chemical composition of hydrocarbons produced by a specific kerogen as a function of maturity, heating rate, etc.; assemble a compositional kinetic database of representative kerogens; (3) Develop a 4 phase equation of state-flash model that can define the physical properties (viscosity, density, etc.) of the products of kerogen maturation, and phase transitions that occur along secondary migration pathways; (4) Build a conventional basin model and incorporate new maturity indicators and data bases in a user-friendly way; (5) Develop an algorithm which combines the volume change and viscosities of the compositional maturation model to predict the chemistry of the hydrocarbons that will be expelled from the kerogen to the secondary migration pathways; (6) Develop an algorithm that predicts the flow of hydrocarbons along secondary migration pathways, accounts for mixing of miscible hydrocarbon components along the pathway, and calculates the phase fractionation that will occur as the hydrocarbons move upward down the geothermal and fluid pressure gradients in the basin; and (7) Integrate the above components into a functional model implemented on a PC or low cost workstation.
Testing Model Nesting and Equivalence
Peter M. Bentler; Albert Satorra
2011-01-01T23:59:59.000Z
sense of observational equivalence, implying that theirModel Nesting and Equivalence* Peter M. Bentler UniversityModel Nesting and Equivalence Using existing technology, it
Testing Model Nesting and Equivalence
Bentler, Peter M.; Satorra, Albert
2008-01-01T23:59:59.000Z
sense of observational equivalence, implying that theirModel Nesting and Equivalence* Peter M. Bentler UniversityModel Nesting and Equivalence Using existing technology, it
Sandia National Laboratories: Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
from improved climate models to performance models for underground waste storage to 3D printing and digital rock physics. Marianne Walck (Director ... NASA Award for Marginal...
Modelling Quintessential Inflation with Branes
Konstantinos Dimopoulos
2002-10-17T23:59:59.000Z
I discuss why quintessential inflation model-building is more natural in the context of brane cosmology and study the dynamics of a particular model as an example.
Exponential Family Random Network Models
Fellows, Ian
2012-01-01T23:59:59.000Z
second block model nodal attributes, and the last are joint.second block model nodal attributes, and the last are joint.
Sandia National Laboratories: Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
society and delivers resources that advance computing as a science ... Wind Generator Modeling On June 26, 2014, in Computational Modeling & Simulation, Energy, Energy...
Sandia National Laboratories: Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Sandia Study Shows Large LNG Fires Hotter but Smaller Than Expected On December 6, 2011, in Analysis, Energy Assurance, Infrastructure Security, Modeling, Modeling & Analysis,...
Simple ocean carbon cycle models
Caldeira, K. [Lawrence Livermore National Lab., CA (United States); Hoffert, M.I. [New York Univ., NY (United States). Dept. of Earth System Sciences; Siegenthaler, U. [Bern Univ. (Switzerland). Inst. fuer Physik
1994-02-01T23:59:59.000Z
Simple ocean carbon cycle models can be used to calculate the rate at which the oceans are likely to absorb CO{sub 2} from the atmosphere. For problems involving steady-state ocean circulation, well calibrated ocean models produce results that are very similar to results obtained using general circulation models. Hence, simple ocean carbon cycle models may be appropriate for use in studies in which the time or expense of running large scale general circulation models would be prohibitive. Simple ocean models have the advantage of being based on a small number of explicit assumptions. The simplicity of these ocean models facilitates the understanding of model results.
14.451 Macroeconomic Theory I, Spring 2003
Angeletos, Marios
The first half of the semester is an introduction to the techniques and the applications of dynamic general equilibrium models, with particular emphasis on models of economic growth.
Ocean General Circulation Models
Yoon, Jin-Ho; Ma, Po-Lun
2012-09-30T23:59:59.000Z
1. Definition of Subject The purpose of this text is to provide an introduction to aspects of oceanic general circulation models (OGCMs), an important component of Climate System or Earth System Model (ESM). The role of the ocean in ESMs is described in Chapter XX (EDITOR: PLEASE FIND THE COUPLED CLIMATE or EARTH SYSTEM MODELING CHAPTERS). The emerging need for understanding the Earth’s climate system and especially projecting its future evolution has encouraged scientists to explore the dynamical, physical, and biogeochemical processes in the ocean. Understanding the role of these processes in the climate system is an interesting and challenging scientific subject. For example, a research question how much extra heat or CO2 generated by anthropogenic activities can be stored in the deep ocean is not only scientifically interesting but also important in projecting future climate of the earth. Thus, OGCMs have been developed and applied to investigate the various oceanic processes and their role in the climate system.
Luís Tarrataca; Andreas Wichert
2015-02-06T23:59:59.000Z
The production system is a theoretical model of computation relevant to the artificial intelligence field allowing for problem solving procedures such as hierarchical tree search. In this work we explore some of the connections between artificial intelligence and quantum computation by presenting a model for a quantum production system. Our approach focuses on initially developing a model for a reversible production system which is a simple mapping of Bennett's reversible Turing machine. We then expand on this result in order to accommodate for the requirements of quantum computation. We present the details of how our proposition can be used alongside Grover's algorithm in order to yield a speedup comparatively to its classical counterpart. We discuss the requirements associated with such a speedup and how it compares against a similar quantum hierarchical search approach.
Stochastic Modeling Techniques: Understanding and using hidden Markov models
California at Santa Cruz, University of
Tutorial Stochastic Modeling Techniques: Understanding and using hidden Markov models Leslie Grate¨olander kimmen@cse.ucsc.edu 1 #12; Contents 1 Introduction 3 2 Mathematical Foundations of Stochastic Models 4 2 : : : : : : : : : : : : : : : : : : : : : : : : : : 27 7 Validating a model 30 8 Local HMM installation 31 8.1 Obtaining SAM and HMMer
ORQA: Modeling Energy and Quality of Service within AUTOSAR Models
Boyer, Edmond
Systems]: Consumer Products--electric vehicle General Terms Design, Management Keywords Autosar, model the vehicle autonomy. A vehicle management is achieved by the em- bedded systems, modeled following-oriented Quality of Ser- vice models. This paper presents Orqa, a framework to model and manage the electric
High School Students' Modeling Knowledge High School Students' Modeling Knowledge
High School Students' Modeling Knowledge High School Students' Modeling Knowledge David Fortus of the authors. #12;High School Students' Modeling Knowledge Abstract Modeling is a core scientific practice a learning progression for this practice, focusing on the late elementary and early middle school years
Business surveys modelling with Seasonal-Cyclical Long Memory models
Paris-Sud XI, UniversitÃ© de
Business surveys modelling with Seasonal-Cyclical Long Memory models Ferrara L. and GuÃ©gan D. 2nd business surveys released by the European Commission. We introduce an innovative way for modelling those linear models. Keywords: Euro area, nowcasting, business surveys, seasonal, long memory. JEL
Ecological Modelling 192 (2006) 143159 Nitrogen transformation and transport modeling
Clement, Prabhakar
model; Transformation; Transport; Nitrification; Denitrification; RT3D 1. Introduction Nitrogen of this paper are to develop a nitro- gen transport and transformation model for saturated groundwater systemsEcological Modelling 192 (2006) 143Â159 Nitrogen transformation and transport modeling
Model Structure Analysis for Model-based Operation of
Van den Hof, Paul
conducted in the framework of the "Integrated System Approach Petroleum Production" (ISAPP) programmeModel Structure Analysis for Model-based Operation of Petroleum Reservoirs #12;#12;MODEL STRUCTURE ANALYSIS FOR MODEL-BASED OPERATION OF PETROLEUM RESERVOIRS PROEFSCHRIFT ter verkrijging van de graad van
Southworth, Frank [ORNL; Garrow, Dr. Laurie [Georgia Institute of Technology
2011-01-01T23:59:59.000Z
This chapter describes the principal types of both passenger and freight demand models in use today, providing a brief history of model development supported by references to a number of popular texts on the subject, and directing the reader to papers covering some of the more recent technical developments in the area. Over the past half century a variety of methods have been used to estimate and forecast travel demands, drawing concepts from economic/utility maximization theory, transportation system optimization and spatial interaction theory, using and often combining solution techniques as varied as Box-Jenkins methods, non-linear multivariate regression, non-linear mathematical programming, and agent-based microsimulation.
Mandal, Esan
2004-09-30T23:59:59.000Z
space and is a Hausdorff space. One such example is the surface of a 10 sphere such as Earth, which is not a plane, but small patches of it are homeomorphic to (i.e., topologically equivalent to) patches of the Euclidean plane. 3. 2-Manifold A 2-manifold... . . . . . . . . . . . . . . . . . . . . 25 III.1.1. Doo-Sabin modification in Wire modeling . . . . . . . 25 III.1.2. Rind modeling integration . . . . . . . . . . . . . . . 27 III.1.3. Dimension control of the 3D pipes . . . . . . . . . . 30 III.1.4. Self...
Transport Model with Quasipions
Xiong, L.; Ko, Che Ming; Koch, V.
1993-01-01T23:59:59.000Z
, the transport model that takes into account both nucleon-nucleon collisions and the nuclear mean-field po- tential (normally called the Ulasov-Uehling-Uhlenbeck or Boltzmann-Uehling-Uhlenbeck model [3]) have been ex- tended to include the pion degree... equation, the pion collision term is obtained from the imaginary part of its self-energy. In nuclear medium, the pion self-energy is modified by the strong p-wave pion- nucleon interaction. This not only afFects the production and absorption of the pion...
Gaffney, E.S.; Wohletz, K.H.; House, J.W.; Brown, J.A.
1987-01-01T23:59:59.000Z
Los Alamos National Laboratory has been and continues developing techniques for modeling buried explosions using a large geotechnical centrifuge. When fully developed, the techniques should permit the accurate modeling of large explosions in complex geometries. Our intentional application is to study the phenomena of explosive cavity formation and collapse. However, the same methods should also be applicable to simulation of bursts shallow enough to produce craters, and perhaps even of airbursts in situations where soil overburden is important. We have placed primary emphasis on test bed construction methods and on accurate measurement of the ground shock produced by the explosions. 8 refs., 7 figs.
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLove Your1 SECTION A.Model Verification and ValidationModeling
Liu, Yue
2013-01-01T23:59:59.000Z
1994. [9] Greene, W. B. , Econometric Analysis, Pearson /and Semiparametric Panel Econometric Models: Estimation andDEPendent models. This econometric software package was
Some Remarks on the Model Theory of Epistemic Plausibility Models
Demey, Lorenz
2010-01-01T23:59:59.000Z
Classical logics of knowledge and belief are usually interpreted on Kripke models, for which a mathematically well-developed model theory is available. However, such models are inadequate to capture dynamic phenomena. Therefore, epistemic plausibility models have been introduced. Because these are much richer structures than Kripke models, they do not straightforwardly inherit the model-theoretical results of modal logic. Therefore, while epistemic plausibility structures are well-suited for modeling purposes, an extensive investigation of their model theory has been lacking so far. The aim of the present paper is to fill exactly this gap, by initiating a systematic exploration of the model theory of epistemic plausibility models. Like in 'ordinary' modal logic, the focus will be on the notion of bisimulation. We define various notions of bisimulations (parametrized by a language L) and show that L-bisimilarity implies L-equivalence. We prove a Hennesy-Milner type result, and also two undefinability results. ...
Optimization Online - Optimization Software and Modeling Systems ...
Optimization Software and Modeling Systems Submissions - 2009. March 2009. Modeling Languages and Systems A Structure-Conveying Modelling Language ...
C. Tannous; A. Fessant
2001-01-07T23:59:59.000Z
Combustion reaction kinetics models are used for the description of a special class of bursty Financial Time Series. The small number of parameters they depend upon enable financial analysts to predict the time as well as the magnitude of the jump of the value of the portfolio. Several Financial Time Series are analysed within this framework and applications are given.
Mohammad Masoud Hassani; Falk K. Wittel; Stefan Hering; Hans J. Herrmann
2014-10-15T23:59:59.000Z
Wood as the most important natural and renewable building material plays an important role in the construction sector. Nevertheless, its hygroscopic character basically affects all related mechanical properties leading to degradation of material stiffness and strength over the service life. Accordingly, to attain reliable design of the timber structures, the influence of moisture evolution and the role of time- and moisture-dependent behaviors have to be taken into account. For this purpose, in the current study a 3D orthotropic elasto-plastic, visco-elastic, mechano-sorptive constitutive model for wood, with all material constants being defined as a function of moisture content, is presented. The corresponding numerical integration approach, with additive decomposition of the total strain is developed and implemented within the framework of the finite element method (FEM). Moreover to preserve a quadratic rate of asymptotic convergence the consistent tangent operator for the whole model is derived. Functionality and capability of the presented material model are evaluated by performing several numerical verification simulations of wood components under different combinations of mechanical loading and moisture variation. Additionally, the flexibility and universality of the introduced model to predict the mechanical behavior of different species are demonstrated by the analysis of a hybrid wood element. Furthermore, the proposed numerical approach is validated by comparisons of computational evaluations with experimental results.
Bioreactors Modeling and Control
Grossmann, Ignacio E.
Bioreactors Modeling and Control: Dealing with Complexity Dep. Of Chemical Engineering Federal Federal University of São Carlos Brazil 1 DEQDEQ #12;First things first: What is a bio-reactor, anyway - Bioreactors: · Enzymatic reactors · Cultivation of microorganisms/cells ("fermenters") ThyssenKrupp Stainless
Shekhar, Shashi
``chawlas'' 2001/2/2 page 1 i i i i i i i i Modeling Spatial Dependencies for Mining Geospatial data sets. These organizations are spread across many domains including ecology and envi ronment mining algorithms[1] often make assumptions (e.g. independent, identical distributions) which violate
Hacker, Randi
2013-02-20T23:59:59.000Z
clothes in a photo shoot cancelled. Grandpa Liu tried on a jacket and liked its style. So his granddaughter took photos of him in it and other items of clothing, posted them and China's next top model was created. Filial pietists accuse Ting of elder...
Ojima, D. [ed.
1992-12-31T23:59:59.000Z
The 1990 Global Change Institute (GCI) on Earth System Modeling is the third of a series organized by the Office for Interdisciplinary Earth Studies to look in depth at particular issues critical to developing a better understanding of the earth system. The 1990 GCI on Earth System Modeling was organized around three themes: defining critical gaps in the knowledge of the earth system, developing simplified working models, and validating comprehensive system models. This book is divided into three sections that reflect these themes. Each section begins with a set of background papers offering a brief tutorial on the subject, followed by working group reports developed during the institute. These reports summarize the joint ideas and recommendations of the participants and bring to bear the interdisciplinary perspective that imbued the institute. Since the conclusion of the 1990 Global Change Institute, research programs, nationally and internationally, have moved forward to implement a number of the recommendations made at the institute, and many of the participants have maintained collegial interactions to develop research projects addressing the needs identified during the two weeks in Snowmass.
uncorrectedproof Biomech Model Mechanobiol
Shreiber, David I.
data from8 indentation, using microspheres as indenters, of synthetic9 rubber-like gels, native mouse the synthetic gels. The Hertz model proved to be acceptable14 for the synthetic gels at small deformations at small strains and rubber elasticity theory at both small 28 and large strains. For polymer gels
Zubairy, Raheel
2014-04-18T23:59:59.000Z
-gain and temperature profile in the annulus. This research focuses on these changes in these parameters to be able to detect the occurrence of gas kick and the circulation of the gas kick out from the well. In this thesis, we have developed a model that incorporates...
DYNAMIC MODELING FUEL PROCESSORS
Mease, Kenneth D.
turbine module (compressor and turbine sub-modules) Catalytic oxidizer Combustor module Heat exchanger, PEM, Gas Turbine General Model Assumptions · 1D process flow · Well-stirred within nodal volume · Slow reactants #12;Steam Reformation Occurs in Reformer and Fuel Cells Methane reformation reaction Water Gas
Multidimensional Model Programming
Hunt, Galen
#12;Multidimensional Model Programming SQL Server 2012 Books Online Summary: Analysis Services provides several APIs that you can use to program against an Analysis Services instance this information to choose the programming interface that best meets the requirements of a particular project
Computer aided nuclear reactor modeling
Warraich, Khalid Sarwar
1995-01-01T23:59:59.000Z
after model has been sent to CENTAR). We then present an interactive, graphical, icon based modeling program, Alpha, that lets the user "draw" the model on screen and translates it into a syn tactically correct CENTAR input model which is also free...
Jobs and Economic Development Modeling
Broader source: Energy.gov [DOE]
Project objective: Develop models to estimate jobs and economic impacts from geothermal project development and operation.
LAGRANGIAN COORDINATES AND MULTICLASS MODELS
Vuik, Kees
LAGRANGIAN COORDINATES AND MULTICLASS MODELS The kinematic wave model, also known as the Lighthill. introduced a kinematic wave model with multiple user classes (7). They show qualitatively Formulation of Multiclass Kinematic Wave Model Femke van Wageningen-Kessels, Hans van Lint, Serge P
Sandia National Laboratories: modeling and simulation
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
and simulation Sandian Mark Boslough Featured on NOVA Episode about Chelyabinsk Meteor On November 20, 2013, in Computational Modeling & Simulation, Modeling, Modeling, Modeling &...
Sandia National Laboratories: Modeling and Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Modeling and Analysis Sandian Mark Boslough Featured on NOVA Episode about Chelyabinsk Meteor On November 20, 2013, in Computational Modeling & Simulation, Modeling, Modeling,...
Business Model Resources | Department of Energy
Broader source: Energy.gov (indexed) [DOE]
Run a Program Getting Started Business Model Resources Business Model Resources Business Models Guide Business Model Planning Resources - Working with Partners Sample Program...
Nuclear Systems Modeling & Simulation | More Science | ORNL
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Systems Modeling and Simulation SHARE Nuclear Systems Modeling and Simulation Reactor physics depletion model for the Advanced Test Reactor Reactor physics depletion model for the...
A model for projectile fragmentation
Chaudhuri, G; Gupta, S Das
2012-01-01T23:59:59.000Z
A model for projectile fragmentation is developed whose origin can be traced back to the Bevalac era. The model positions itself between the phenomenological EPAX parametrization and microscopic transport models like "Heavy Ion Phase Space Exploration" (HIPSE) model and antisymmetrised molecular dynamics (AMD) model. A very simple impact parameter dependence of input temperature is incorporated in the model which helps to analyze the more peripheral collisions. The model is applied to calculate the charge, isotopic distributions, average number of intermediate mass fragments and the average size of largest cluster at different $Z_{bound}$ of different projectile fragmentation reactions at different energies.
Mesoscale ocean dynamics modeling
mHolm, D.; Alber, M.; Bayly, B.; Camassa, R.; Choi, W.; Cockburn, B.; Jones, D.; Lifschitz, A.; Margolin, L.; Marsden, L.; Nadiga, B.; Poje, A.; Smolarkiewicz, P. [Los Alamos National Lab., NM (United States); Levermore, D. [Arizona Univ., Tucson, AZ (United States)
1996-05-01T23:59:59.000Z
This is the final report of a three-year, Laboratory-Directed Research and Development (LDRD) project at the Los Alamos National Laboratory (LANL). The ocean is a very complex nonlinear system that exhibits turbulence on essentially all scales, multiple equilibria, and significant intrinsic variability. Modeling the ocean`s dynamics at mesoscales is of fundamental importance for long-time-scale climate predictions. A major goal of this project has been to coordinate, strengthen, and focus the efforts of applied mathematicians, computer scientists, computational physicists and engineers (at LANL and a consortium of Universities) in a joint effort addressing the issues in mesoscale ocean dynamics. The project combines expertise in the core competencies of high performance computing and theory of complex systems in a new way that has great potential for improving ocean models now running on the Connection Machines CM-200 and CM-5 and on the Cray T3D.
Fitzpatrick, B. A.; Gangadhar, K.
operating areas or "units" in HOCEM, though some of the units are as simple as cooling towers and others as complex as production areas. A VAX-based spreadsheet software program, Graphic Outlook, from stone Mountain Computing was selected as the model... heuristic guidelines. Finally, HOCEM optimizes on the actual costs of operation. STANDARDS DEVELOPMENT As was mentioned above, each of -50 operating areas forecasts its utilities demand. The general format for these "unit spreadsheets...
Utpal Sarkar
2006-06-19T23:59:59.000Z
A simple algorithm to calculate the group theory factor entering in anomalies at four and six dimensions for SU(N) and SO(N) groups in terms of the Casimir invariants of their subgroups is presented. Explicit examples of some of the lower dimensional representations of $SU(n), n \\leq 5$ and SO(10) groups are presented, which could be used for model building in four and six dimensions.
Aldrovandi, R.; Pereira, J.G.
1986-05-15T23:59:59.000Z
Because it acts on space-time and is not semisimple, the Poincare group cannot lead to a gauge theory of the usual kind. A candidate model is discussed which keeps itself as close as possible to the typical gauge scheme. Its field equations are the Yang-Mills equations for the Poincare group. It is shown that there exists no Lagrangian for these equations.
Santopinto, E
2015-01-01T23:59:59.000Z
In this contribution, we briefly discuss the results for charmonium and bottomonium spectra with self-energy corrections in the unquenched quark model, due to the coupling to the meson-meson continuum. The UQM formalism can be extended to include also the effects of hybrid mesons, i.e. hybrid loops. Finally, we discuss the results of a calculation of hybrid mesons spectrum in Coulomb Gauge QCD.
E. Santopinto; J. Ferretti
2015-03-10T23:59:59.000Z
In this contribution, we briefly discuss the results for charmonium and bottomonium spectra with self-energy corrections in the unquenched quark model, due to the coupling to the meson-meson continuum. The UQM formalism can be extended to include also the effects of hybrid mesons, i.e. hybrid loops. Finally, we discuss the results of a calculation of hybrid mesons spectrum in Coulomb Gauge QCD.
MULTISCALE THERMOHYDROLOGIC MODEL
T.A. Buscheck
2001-12-21T23:59:59.000Z
The purpose of the Multiscale Thermohydrologic Model (MSTHM) is to describe the thermohydrologic evolution of the near-field environment (NFE) and engineered barrier system (EBS) throughout the potential high-level nuclear waste repository at Yucca Mountain for a particular engineering design (CRWMS M&O 2000c). The process-level model will provide thermohydrologic (TH) information and data (such as in-drift temperature, relative humidity, liquid saturation, etc.) for use in other technical products. This data is provided throughout the entire repository area as a function of time. The MSTHM couples the Smeared-heat-source Drift-scale Thermal-conduction (SDT), Line-average-heat-source Drift-scale Thermohydrologic (LDTH), Discrete-heat-source Drift-scale Thermal-conduction (DDT), and Smeared-heat-source Mountain-scale Thermal-conduction (SMT) submodels such that the flow of water and water vapor through partially-saturated fractured rock is considered. The MSTHM accounts for 3-D drift-scale and mountain-scale heat flow, repository-scale variability of stratigraphy and infiltration flux, and waste package (WP)-to-WP variability in heat output from WPs. All submodels use the nonisothermal unsaturated-saturated flow and transport (NUFT) simulation code. The MSTHM is implemented in several data-processing steps. The four major steps are: (1) submodel input-file preparation, (2) execution of the four submodel families with the use of the NUFT code, (3) execution of the multiscale thermohydrologic abstraction code (MSTHAC), and (4) binning and post-processing (i.e., graphics preparation) of the output from MSTHAC. Section 6 describes the MSTHM in detail. The objectives of this Analyses and Model Report (AMR) are to investigate near field (NF) and EBS thermohydrologic environments throughout the repository area at various evolution periods, and to provide TH data that may be used in other process model reports.
Modeling volcanic ash dispersal
None
2011-10-06T23:59:59.000Z
Explosive volcanic eruptions inject into the atmosphere large amounts of volcanic material (ash, blocks and lapilli). Blocks and larger lapilli follow ballistic and non-ballistic trajectories and fall rapidly close to the volcano. In contrast, very fine ashes can remain entrapped in the atmosphere for months to years, and may affect the global climate in the case of large eruptions. Particles having sizes between these two end-members remain airborne from hours to days and can cover wide areas downwind. Such volcanic fallout entails a serious threat to aircraft safety and can create many undesirable effects to the communities located around the volcano. The assessment of volcanic fallout hazard is an important scientific, economic, and political issue, especially in densely populated areas. From a scientific point of view, considerable progress has been made during the last two decades through the use of increasingly powerful computational models and capabilities. Nowadays, models are used to quantify hazard scenarios and/or to give short-term forecasts during emergency situations. This talk will be focused on the main aspects related to modeling volcanic ash dispersal and fallout with application to the well known problem created by the Eyjafjöll volcano in Iceland. Moreover, a short description of the main volcanic monitoring techniques is presented.
Buck, Edgar C.; Wittman, Richard S.; Skomurski, Frances N.; Cantrell, Kirk J.; McNamara, Bruce K.; Soderquist, Chuck Z.
2012-07-17T23:59:59.000Z
Assessing the performance of spent (used) nuclear fuel in geological repository requires quantification of time-dependent phenomena that may influence its behavior on a time-scale up to millions of years. A high-level waste repository environment will be a dynamic redox system because of the time-dependent generation of radiolytic oxidants and reductants and the corrosion of Fe-bearing canister materials. One major difference between used fuel and natural analogues, including unirradiated UO2, is the intense radiolytic field. The radiation emitted by used fuel can produce radiolysis products in the presence of water vapor or a thin-film of water (including OH• and H• radicals, O2-, eaq, H2O2, H2, and O2) that may increase the waste form degradation rate and change radionuclide behavior. H2O2 is the dominant oxidant for spent nuclear fuel in an O2 depleted water environment, the most sensitive parameters have been identified with respect to predictions of a radiolysis model under typical conditions. As compared with the full model with about 100 reactions it was found that only 30-40 of the reactions are required to determine [H2O2] to one part in 10–5 and to preserve most of the predictions for major species. This allows a systematic approach for model simplification and offers guidance in designing experiments for validation.
Modeling for Airborne Contamination
F.R. Faillace; Y. Yuan
2000-08-31T23:59:59.000Z
The objective of Modeling for Airborne Contamination (referred to from now on as ''this report'') is to provide a documented methodology, along with supporting information, for estimating the release, transport, and assessment of dose to workers from airborne radioactive contaminants within the Monitored Geologic Repository (MGR) subsurface during the pre-closure period. Specifically, this report provides engineers and scientists with methodologies for estimating how concentrations of contaminants might be distributed in the air and on the drift surfaces if released from waste packages inside the repository. This report also provides dose conversion factors for inhalation, air submersion, and ground exposure pathways used to derive doses to potentially exposed subsurface workers. The scope of this report is limited to radiological contaminants (particulate, volatile and gaseous) resulting from waste package leaks (if any) and surface contamination and their transport processes. Neutron activation of air, dust in the air and the rock walls of the drift during the preclosure time is not considered within the scope of this report. Any neutrons causing such activation are not themselves considered to be ''contaminants'' released from the waste package. This report: (1) Documents mathematical models and model parameters for evaluating airborne contaminant transport within the MGR subsurface; and (2) Provides tables of dose conversion factors for inhalation, air submersion, and ground exposure pathways for important radionuclides. The dose conversion factors for air submersion and ground exposure pathways are further limited to drift diameters of 7.62 m and 5.5 m, corresponding to the main and emplacement drifts, respectively. If the final repository design significantly deviates from these drift dimensions, the results in this report may require revision. The dose conversion factors are further derived by using concrete of sufficient thickness to simulate the drift walls. The gamma-ray scattering properties of concrete are sufficiently similar to those of the host rock and proposed insert material; use of concrete will have no significant impact on the conclusions. The information in this report is presented primarily for use in performing pre-closure radiological safety evaluations of radiological contaminants, but it may also be used to develop strategies for contaminant leak detection and monitoring in the MGR. Included in this report are the methods for determining the source terms and release fractions, and mathematical models and model parameters for contaminant transport and distribution within the repository. Various particle behavior mechanisms that affect the transport of contaminant are included. These particle behavior mechanisms include diffusion, settling, resuspension, agglomeration and other deposition mechanisms.
Modeling prosodic features in language models for meetings.
Huang, Songfang; Renals, Steve
2007-01-01T23:59:59.000Z
In this paper we investigate the application of a novel technique for language modeling - a hierarchical Bayesian language model (LM) based on the Pitman-Yor process - on automatic speech recognition (ASR) for multiparty meetings. The hierarchical...
Comparison of Photovoltaic Models in the System Advisor Model: Preprint
Blair, N. J.; Dobos, A. P.; Gilman, P.
2013-08-01T23:59:59.000Z
The System Advisor Model (SAM) is free software developed by the National Renewable Energy Laboratory (NREL) for predicting the performance of renewable energy systems and analyzing the financial feasibility of residential, commercial, and utility-scale grid-connected projects. SAM offers several options for predicting the performance of photovoltaic (PV) systems. The model requires that the analyst choose from three PV system models, and depending on that choice, possibly choose from three module and two inverter component models. To obtain meaningful results from SAM, the analyst must be aware of the differences between the model options and their applicability to different modeling scenarios. This paper presents an overview the different PV model options and presents a comparison of results for a 200-kW system using different model options.
Modeling of Organizational Violence Violent Intent Modeling and Simulation (VIMS)
McShea, Daniel W.
111 Modeling of Organizational Violence Violent Intent Modeling and Simulation (VIMS) Georgiy and organizational violence Use social science theories to assist analysis in understanding potential scenarios 2 Organizational Behavior (MAROB) · Global Terrorism Database (GTD) · The Big Allied And Dangerous (BAAD
Model building in neural networks with hidden Markov models
Wynne-Jones, Michael
This thesis concerns the automatic generation of architectures for neural networks and other pattern recognition models comprising many elements of the same type. The requirement for such models, with automatically ...
Vignola, F. [Univ. of Oregon, Eugene, OR (United States). Physics Dept.
1997-12-31T23:59:59.000Z
The METSTAT model is a comprehensive model for estimating insolation on an hourly basis from cloud cover and other meteorological data. However, the METSTAT model does not reproduce the statistics found in measured daily data during periods of extensive cloud cover. In this study, METSTAT modeled estimates and measured hourly solar radiation data from Burns and Eugene Oregon are examined and compared. A source of the discrepancy between the modeled and measured data is identified. Slight modifications to the METSTAT model that significantly reduce the discrepancy are demonstrated for the Burns and Eugene sites.
STEAM RECEIVER MODELS FOR SOLAR DISH CONCENTRATORS: TWO MODELS COMPARED
response of a parabolic dish steam cavity receiver. Both approaches are based on a heat transfer model
3.0 Exporting Models Save model as OBJ file
Gordon, Scott
3.0 Exporting Models Save model as OBJ file: o Make sure that the model, and the UV-unwrapping, are open and displayed. o File Export wavefront.obj o Navigate to desired directory (remember that single RETURN to accept the name (or use the Export Wavefront button in the upper right) o Click on the Export
Modeling of a Foamed Emulsion Bioreactor: II. Model Parametric Sensitivity
ARTICLE Modeling of a Foamed Emulsion Bioreactor: II. Model Parametric Sensitivity Eunsung Kan: The sensitivity of a conceptual model of a foam emulsion bioreactor (FEBR) used for the control of toluene vapors mass transfer and kinetic limitations can coexist in the bioreactor system. These results will help
Gas Distribution Modeling using Sparse Gaussian Process Mixture Models
Stachniss, Cyrill
Gas Distribution Modeling using Sparse Gaussian Process Mixture Models Cyrill Stachniss1 Christian-- In this paper, we consider the problem of learning a two dimensional spatial model of a gas distribution with a mobile robot. Building maps that can be used to accurately predict the gas concentration at query
Model Projection: Simplifying Models in Response to Restricting the Environment
Singer, Jeremy
. For example, the `basic model' car air conditioning system may not offer the climate control functionality constructed by model checkers [8] and built by engineers in the telecommunications and embedded systems on state-based modelling [27], and are widely used for specifying discrete-event control devices
Optimal Model-Based Production Planning
Grossmann, Ignacio E.
1 Optimal Model-Based Production Planning for Refinery Operation Abdulrahman Alattas Advisor;2 Outline Introduction Problem Statement Refinery Planning Model Development LP Planning Models NLP Planning Models Conclusion #12;3 Introduction Refinery production planning models Optimizing refinery
A framework for benchmarking land models
2012-01-01T23:59:59.000Z
their inclu- sion in Earth system models (ESMs). State-of-land models cou- pled to Earth system models should simulateland models within Earth system models, however, can help
Model combination by decomposition and aggregation
Xu, Mingyang, 1974-
2004-01-01T23:59:59.000Z
This thesis focuses on a general problem in statistical modeling, namely model combination. It proposes a novel feature-based model combination method to improve model accuracy and reduce model uncertainty. In this method, ...
Thermal Modeling of Lundell Alternators
Tang, Sai Chun
Thermal analysis of Lundell alternators used in automobiles is presented. An analytical thermal model for Lundell alternators is proposed, and procedures for acquiring the model parameters are elucidated. Based on the ...
Modeling applied to problem solving
Pawl, Andrew
We describe a modeling approach to help students learn expert problem solving. Models are used to present and hierarchically organize the syllabus content and apply it to problem solving, but students do not develop and ...
Tools for dynamic model development
Schaber, Spencer Daniel
2014-01-01T23:59:59.000Z
For this thesis, several tools for dynamic model development were developed and analyzed. Dynamic models can be used to simulate and optimize the behavior of a great number of natural and engineered systems, from the ...
Named entity tagged language models.
Gotoh, Yoshihiko; Renals, Steve; Williams, Gethin
1999-01-01T23:59:59.000Z
We introduce Named Entity (NE) Language Modelling, a stochastic finite state machine approach to identifying both words and NE categories from a stream of spoken data. We provide an overview of our approach to NE tagged language model (LM...
Environmental Modeling: Coping with Uncertainty
Politècnica de Catalunya, Universitat
Statistical heterogeneity Complex correlation structures · Classical models: Additive noise UniEnvironmental Modeling: Coping with Uncertainty Daniel M. Tartakovsky (dmt@lanl.gov) Theoretical of environmental processes 2. Parametric uncertainty 3. Current approaches to uncertainty quantification 4. Random
Models for solvated biomolecular structures
Cerutti, David
2007-01-01T23:59:59.000Z
Point Charge / Extended (SPC/E) [15] [100] and Transferableexplicit water models). In both SPC/E and TIP3P, the siteearlier, models such as TIP3P and SPC/E describe water in a
Bayesian Networks for Social Modeling
Whitney, Paul D.; White, Amanda M.; Walsh, Stephen J.; Dalton, Angela C.; Brothers, Alan J.
2011-03-28T23:59:59.000Z
This paper describes a body of work developed over the past five years. The work addresses the use of Bayesian network (BN) models for representing and predicting social/organizational behaviors. The topics covered include model construction, validation, and use. These topics show the bulk of the lifetime of such model, beginning with construction, moving to validation and other aspects of model ‘critiquing’, and finally demonstrating how the modeling approach might be used to inform policy analysis. To conclude, we discuss limitations of using BN for this activity and suggest remedies to address those limitations. The primary benefits of using a well-developed computational, mathematical, and statistical modeling structure, such as BN, are 1) there are significant computational, theoretical and capability bases on which to build 2) ability to empirically critique the model, and potentially evaluate competing models for a social/behavioral phenomena.
The DCC Curation Lifecycle Model
Higgins, Sarah
2009-01-01T23:59:59.000Z
The DCC Curation Lifecycle Model provides a graphical high level overview of the stages required for successful curation and preservation of data from initial conceptualisation or receipt. The model can be used to plan activities within...
Axt, Konstantin
2013-06-29T23:59:59.000Z
In this project rRNA maturation was investigated with the help of mathematical models of processing pathways from pre-rRNA to mature rRNA species. Previously described models were transferred from Excel to Mathematica. ...
Integrated Assessment Modeling
Edmonds, James A.; Calvin, Katherine V.; Clarke, Leon E.; Janetos, Anthony C.; Kim, Son H.; Wise, Marshall A.; McJeon, Haewon C.
2012-10-31T23:59:59.000Z
This paper discusses the role of Integrated Assessment models (IAMs) in climate change research. IAMs are an interdisciplinary research platform, which constitutes a consistent scientific framework in which the large-scale interactions between human and natural Earth systems can be examined. In so doing, IAMs provide insights that would otherwise be unavailable from traditional single-discipline research. By providing a broader view of the issue, IAMs constitute an important tool for decision support. IAMs are also a home of human Earth system research and provide natural Earth system scientists information about the nature of human intervention in global biogeophysical and geochemical processes.
Liu, X.; Gales, M. J. F.; Woodland, P. C.
2014-04-30T23:59:59.000Z
of Fisher conversational speech released by the LDC. A 59k recognition word list was used in decoding. The system uses a multi-pass recognition framework. The initial lattice generation used gender depen- dent cross-word triphone acoustic models... . The baseline LM was trained using a total of 1.0 billion words from 8 difference text sources. The two text sources with the highest interpolation weights, the LDC Fisher acoustic transcriptions [8], Fisher, of 20 million words (0.6), and the University...
G. Costantini; A. Puglisi; U. Marini Bettolo Marconi
2009-05-26T23:59:59.000Z
We study a general model of granular Brownian ratchet consisting of an asymmetric object moving on a line and surrounded by a two-dimensional granular gas, which in turn is coupled to an external random driving force. We discuss the two resulting Boltzmann equations describing the gas and the object in the dilute limit and obtain a closed system for the first few moments of the system velocity distributions. Predictions for the net ratchet drift, the variance of its velocity fluctuations and the transition rates in the Markovian limit, are compared to numerical simulations and a fair agreement is observed.
Westbrook, C.K.; Pitz, W.J. [Lawrence Livermore National Laboratory, CA (United States)
1993-12-01T23:59:59.000Z
This project emphasizes numerical modeling of chemical kinetics of combustion, including applications in both practical combustion systems and in controlled laboratory experiments. Elementary reaction rate parameters are combined into mechanisms which then describe the overall reaction of the fuels being studied. Detailed sensitivity analyses are used to identify those reaction rates and product species distributions to which the results are most sensitive and therefore warrant the greatest attention from other experimental and theoretical research programs. Experimental data from a variety of environments are combined together to validate the reaction mechanisms, including results from laminar flames, shock tubes, flow systems, detonations, and even internal combustion engines.
Model Verification and 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighandSWPA / SPRA /Ml'. William Hirst Hirst Enterprises,MODEL STANDARDS
Modeling & Simulation publications
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighandSWPA / SPRA /Ml'. William Hirst HirstModeling & Simulation Â»
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 onYouTube YouTube Note: Since the.pdfBreaking of Blythe Solar PowerCommercialEnergySandy-Nor'easter SituationHyPRO Model
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 onYouTube YouTube Note: Since the YouTube|6721 Federal Register / Vol. 73,H Model SeniorDepartment ofInfographicEIAEIN
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 DataDepartment of Energy Your Density Isn't YourTransport(Fact Sheet), GeothermalGrid Integration0-1HAWAI'IHMAX1.3.4.100 HTL Model
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementing Nonlinear757Kelley Ruehl Home KelleyMary CrawfordMesaModeling
Theory, Modeling and Computation
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengthening a solidSynthesis of 2DandEnergy The YearandTheory, Modeling
Model Verification and 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLove Your1 SECTION A.Model Verification and Validation Engineering
Concurrency models and Modern Processors
Wolper, Pierre
) (global) To correspond to the SC model, an execution must satisfy the following conditions : opi , opj : opi opi
Business Model Guide Executive Summary
Broader source: Energy.gov [DOE]
The Business Model Guide Executive Summary by the U.S. Department of Energy's Better Buildings Neighborhood Program.
Is Imaginary Starobinsky Model Real?
Renata Kallosh; Andrei Linde; Bert Vercnocke; Wissam Chemissany
2014-08-12T23:59:59.000Z
We investigate the recently proposed possibility of chaotic inflation with respect to the imaginary part of the field T in a supersymmetric embedding of the Starobinsky model. We show that the stage of rapid expansion driven by Im T in this model ends almost instantly, and the subsequent stages of inflation are driven by the real part of the field T, as in the standard Starobinsky model. Thus, the Starobinsky model and its supersymmetric generalizations remain disfavored by the recent BICEP2 data.
Field Theory and Standard Model
W. Buchmüller; C. Lüdeling
2006-09-18T23:59:59.000Z
This is a short introduction to the Standard Model and the underlying concepts of quantum field theory.
Hot blast stove process model and model-based controller
Muske, K.R. [Villanova Univ., PA (United States). Dept. of Chemical Engineering; Howse, J.W.; Hansen, G.A.; Cagliostro, D.J. [Los Alamos National Lab., NM (United States). Computational Science Methods Group; Chaubal, P.C. [Inland Steel Industries, Inc., East Chicago, IN (United States). Research Labs.
1998-12-31T23:59:59.000Z
This paper describes the process model and model-based control techniques implemented on the hot blast stoves for the No. 7 Blast Furnace at the Inland Steel facility in East Chicago, Indiana. A detailed heat transfer model of the stoves is developed and verified using plant data. This model is used as part of a predictive control scheme to determine the minimum amount of fuel necessary to achieve the blast air requirements. The model is also used to predict maximum and minimum temperature constraint violations within the stove so that the controller can take corrective actions while still achieving the required stove performance.
14.772 Development Economics: Macroeconomics, Spring 2009
Kremer, Michael
This course emphasizes dynamic models of growth and development. Topics covered include: migration, modernization, and technological change; static and dynamic models of political economy; the dynamics of income distribution ...
RMP Colloquia Modeling molecular motors
Jülicher, Frank
The authors present general considerations and simple models for the operation of isothermal motors at small structural differences from the usual Carnot engines. Turning to more explicit models for a single motorRMP Colloquia Modeling molecular motors Frank Ju¨licher,* Armand Ajdari, and Jacques Prost
Bianchi Models with Chaplygin Gas
Gülçin; Uluyazi; Özgür Sevinc
2012-09-13T23:59:59.000Z
Einstein Gravitational Field Equations (EFE) of Chaplygin gas dominated Bianchi-type models are obtained by using metric approximation. The solutions of equations for a special case, namely Bianchi I model which is a generalization of isotropic Friedmann-Robertson-Walker (FRW) cosmology, are obtained. The early and late behaviours of some kinematic parameters in model are presented in graphically.
Compositional Receptor Modeling Dean Billheimer
Washington at Seattle, University of
regarding presence or absence of chemical tracers. I illustrate this approach by modeling air pollution data-Roche for providing the Juneau, AK air pollution data. 1 #12;1 Introduction to Source Receptor Modeling Air quality these issues by analyzing pollution concentrations measured in ambient air. These models aim to identify pol
Functional Convolution Models Maria Asencio
Keinan, Alon
on the California E55/59 study of diesel truck emissions. Keywords: Convolution Model, Functional Data Analysis-world road conditions, from highways to suburban traffic. An emissions analyzer is attached to the truck, Distributed Lag Model, Particulate Matter, Emissions Modeling 1. INTRODUCTION This paper proposes
Regions in Energy Market Models
Short, W.
2007-02-01T23:59:59.000Z
This report explores the different options for spatial resolution of an energy market model--and the advantages and disadvantages of models with fine spatial resolution. It examines different options for capturing spatial variations, considers the tradeoffs between them, and presents a few examples from one particular model that has been run at different levels of spatial resolution.
Model Based Control Refrigeration Systems
Model Based Control of Refrigeration Systems Ph.D. Thesis Lars Finn Sloth Larsen Central R & D University, Denmark. The work has been carried out at the Central R&D - Refrigeration and Air Conditioning The subject for this Ph.D. thesis is model based control of refrigeration systems. Model based control covers
timber quality Modelling and forecasting
Forest and timber quality in Europe Modelling and forecasting yield and quality in Europe Forest and timber quality in Europe Modelling and forecasting yield and quality in Europe M E F Y Q U E #12;Valuing and the UK are working closely together to develop a model to help forecast timber growth, yield, quality
MODELING HORMONAL CONTROL MENSTRUAL CYCLE
MODELING HORMONAL CONTROL OF THE MENSTRUAL CYCLE James F. Selgrade Department of Mathematics of five hormones important for regulation and maintenance of the menstrual cycle. Models which correctly@math.ncsu.edu Abstract This study presents a strategy for developing a mathematical model describing the concentrations
Nonparametric GARCH Models Peter Buhlmann
McNeil, Alexander J.
Nonparametric GARCH Models Peter Buhlmann #3; Seminar fur Statistik Federal Institute describe a nonparametric GARCH model of #12;rst order and pro- pose a simple iterative algorithm for its GARCH(1,1) modelling, particularly when asymmetries are present in the data. We show how the basic
An Introduction to Model Checking
Wolper, Pierre
expertise and is not yet sufficiently powerful to be widely usable. Model checking [CES86] is often thoughtstate systems and, though this limitation is no longer absolute, model checking is still only applicable aspect on which model checking diverges from traditional verification is that it is fully algorithmic
DATA ASSIMILATION IN HYDRODYNAMIC MODELS
modelling and Kalman filters. The thesis consists of a summary report and a collection of seven researchDATA ASSIMILATION IN HYDRODYNAMIC MODELS OF CONTINENTAL SHELF SEAS Jacob Viborg Tornfeldt Sørensen Informatics and Mathematical Modelling Technical University of Denmark Ph.D. Thesis No. 126 Kgs. Lyngby 2004
Stellar Evolution A Statistical Model
van Dyk, David
Stellar Evolution A Statistical Model Statistical Computation Analysis of the Hyades Cluster Embedding Computer Models for Stellar Evolution into a Coherent Statistical Analysis David A. van Dyk1 Analysis of Stellar Evolution #12;Stellar Evolution A Statistical Model Statistical Computation Analysis
Biomass from Combined Backseatter Modeling
Weishampel, John F.
and SAR back- scatter. In this article we discuss' the use of models to help develop a relationship to an airbomw SAR (AIB- SAB) image over a fi?rested area in Maine. A relationship derived totall!l from model results was fi?und to undervs- timate biomass. Calibrating the modeled backscatter with limited AIRSAB
Mesoscale Modeling Spring Semester 2014
ATS730 Mesoscale Modeling Spring Semester 2014 Meeting Times: T/TH: 9-10:15am Room: ATS 101 is to present the development of the basic equations used in mesoscale models, as well as the various methods than on actual simulations of mesoscale phenomena or the evaluation of specific mesoscale models
4, 54555514, 2004 Mesoscale modeling
Paris-Sud XI, Université de
ACPD 4, 54555514, 2004 Mesoscale modeling of combined aerosol and photo-oxidant processes M Union 2004 Atmospheric Chemistry and Physics Discussions Mesoscale modeling of combined aerosol5514, 2004 Mesoscale modeling of combined aerosol and photo-oxidant processes M. Lazaridis et al. Title Page
Unstructured grid modelling to create 3-D Earth models that unify geological and geophysical
Farquharson, Colin G.
Unstructured grid modelling to create 3-D Earth models that unify geological and geophysical Conclusion The common Earth model Geophysical inversion Geological and geophysical models Instructured meshes Geophysical inversion Geological and geophysical models Instructured meshes Motivation: The common Earth model
Key challenges to model-based design : distinguishing model confidence from model validation
Flanagan, Genevieve (Genevieve Elise Cregar)
2012-01-01T23:59:59.000Z
Model-based design is becoming more prevalent in industry due to increasing complexities in technology while schedules shorten and budgets tighten. Model-based design is a means to substantiate good design under these ...
Model documentation report: Transportation sector model of the National Energy Modeling System
Not Available
1994-03-01T23:59:59.000Z
This report documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Transportation Model (TRAN). The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated by the model. This document serves three purposes. First, it is a reference document providing a detailed description of TRAN for model analysts, users, and the public. Second, this report meets the legal requirements of the Energy Information Administration (EIA) to provide adequate documentation in support of its statistical and forecast reports (Public Law 93-275, 57(b)(1)). Third, it permits continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements.
Tachyon warm inflationary universe models
R. Herrera; S. del Campo; C. Campuzano
2006-10-11T23:59:59.000Z
Warm inflationary universe models in a tachyon field theory are studied. General conditions required for these models to be realizable are derived and discussed. We describe scalar perturbations (in the longitudinal gauge) and tensor perturbations for these scenarios. We develop our models for a constant dissipation parameter $\\Gamma$ in one case and one dependent on $\\phi$ in the other case. We have been successful in describing such of inflationary universe models. We use recent astronomical observations for constraining the parameters appearing in our model. Also, our results are compared with their analogous found in the cool inflationary case.
Inventory of state energy models
Melcher, A.G.; Gist, R.L.; Underwood, R.G.; Weber, J.C.
1980-03-31T23:59:59.000Z
These models address a variety of purposes, such as supply or demand of energy or of certain types of energy, emergency management of energy, conservation in end uses of energy, and economic factors. Fifty-one models are briefly described as to: purpose; energy system; applications;status; validation; outputs by sector, energy type, economic and physical units, geographic area, and time frame; structure and modeling techniques; submodels; working assumptions; inputs; data sources; related models; costs; references; and contacts. Discussions in the report include: project purposes and methods of research, state energy modeling in general, model types and terminology, and Federal legislation to which state modeling is relevant. Also, a state-by-state listing of modeling efforts is provided and other model inventories are identified. The report includes a brief encylopedia of terms used in energy models. It is assumed that many readers of the report will not be experienced in the technical aspects of modeling. The project was accomplished by telephone conversations and document review by a team from the Colorado School of Mines Research Institute and the faculty of the Colorado School of Mines. A Technical Committee (listed in the report) provided advice during the course of the project.
Propane Market Model documentation report
Not Available
1993-12-01T23:59:59.000Z
The purpose of this report is to define the objectives of the Propane Market Model (PMM), describe its basic approach, and to provide details on model functions. This report is intended as a reference document for model analysts, users, and the general public. Documentation of the model is in accordance with EIA`s legal obligation to provide adequate documentation in support of its models. The PMM performs a short-term (6- to 9-months) forecast of demand and price for consumer-grad propane in the national US market; it also calculates the end-of-month stock level during the term of the forecast. Another part of the model allows for short-term demand forecasts for certain individual Petroleum Administration for Defense (PAD) districts. The model is used to analyze market behavior assumptions or shocks and to determine the effect on market price, demand, and stock level.
Fusion of \\ade Lattice Models
Yu-kui Zhou; Paul A. Pearce
1994-05-04T23:59:59.000Z
Fusion hierarchies of \\ade face models are constructed. The fused critical $D$, $E$ and elliptic $D$ models yield new solutions of the Yang-Baxter equations with bond variables on the edges of faces in addition to the spin variables on the corners. It is shown directly that the row transfer matrices of the fused models satisfy special functional equations. Intertwiners between the fused \\ade models are constructed by fusing the cells that intertwine the elementary face weights. As an example, we calculate explicitly the fused $2\\times 2$ face weights of the 3-state Potts model associated with the $D_4$ diagram as well as the fused intertwiner cells for the $A_5$--$D_4$ intertwiner. Remarkably, this $2\\times 2$ fusion yields the face weights of both the Ising model and 3-state CSOS models.
Modeling the Nuclear Fuel Cycle
Jacob J. Jacobson; A. M. Yacout; G. E. Matthern; S. J. Piet; A. Moisseytsev
2005-07-01T23:59:59.000Z
The Advanced Fuel Cycle Initiative is developing a system dynamics model as part of their broad systems analysis of future nuclear energy in the United States. The model will be used to analyze and compare various proposed technology deployment scenarios. The model will also give a better understanding of the linkages between the various components of the nuclear fuel cycle that includes uranium resources, reactor number and mix, nuclear fuel type and waste management. Each of these components is tightly connected to the nuclear fuel cycle but usually analyzed in isolation of the other parts. This model will attempt to bridge these components into a single model for analysis. This work is part of a multi-national laboratory effort between Argonne National Laboratory, Idaho National Laboratory and United States Department of Energy. This paper summarizes the basics of the system dynamics model and looks at some results from the model.
Detailed Physical Trough Model for NREL's Solar Advisor Model: Preprint
Wagner, M. J.; Blair, N.; Dobos, A.
2010-10-01T23:59:59.000Z
Solar Advisor Model (SAM) is a free software package made available by the National Renewable Energy Laboratory (NREL), Sandia National Laboratory, and the US Department of Energy. SAM contains hourly system performance and economic models for concentrating solar power (CSP) systems, photovoltaic, solar hot-water, and generic fuel-use technologies. Versions of SAM prior to 2010 included only the parabolic trough model based on Excelergy. This model uses top-level empirical performance curves to characterize plant behavior, and thus is limited in predictive capability for new technologies or component configurations. To address this and other functionality challenges, a new trough model; derived from physical first principles was commissioned to supplement the Excelergy-based empirical model. This new 'physical model' approaches the task of characterizing the performance of the whole parabolic trough plant by replacing empirical curve-fit relationships with more detailed calculations where practical. The resulting model matches the annual performance of the SAM empirical model (which has been previously verified with plant data) while maintaining run-times compatible with parametric analysis, adding additional flexibility in modeled system configurations, and providing more detailed performance calculations in the solar field, power block, piping, and storage subsystems.
Application of Improved Radiation Modeling to General Circulation Models
Michael J Iacono
2011-04-07T23:59:59.000Z
This research has accomplished its primary objectives of developing accurate and efficient radiation codes, validating them with measurements and higher resolution models, and providing these advancements to the global modeling community to enhance the treatment of cloud and radiative processes in weather and climate prediction models. A critical component of this research has been the development of the longwave and shortwave broadband radiative transfer code for general circulation model (GCM) applications, RRTMG, which is based on the single-column reference code, RRTM, also developed at AER. RRTMG is a rigorously tested radiation model that retains a considerable level of accuracy relative to higher resolution models and measurements despite the performance enhancements that have made it possible to apply this radiation code successfully to global dynamical models. This model includes the radiative effects of all significant atmospheric gases, and it treats the absorption and scattering from liquid and ice clouds and aerosols. RRTMG also includes a statistical technique for representing small-scale cloud variability, such as cloud fraction and the vertical overlap of clouds, which has been shown to improve cloud radiative forcing in global models. This development approach has provided a direct link from observations to the enhanced radiative transfer provided by RRTMG for application to GCMs. Recent comparison of existing climate model radiation codes with high resolution models has documented the improved radiative forcing capability provided by RRTMG, especially at the surface, relative to other GCM radiation models. Due to its high accuracy, its connection to observations, and its computational efficiency, RRTMG has been implemented operationally in many national and international dynamical models to provide validated radiative transfer for improving weather forecasts and enhancing the prediction of global climate change.
Nonextensive models for earthquakes
Silva, R.; Franca, G.S.; Vilar, C.S.; Alcaniz, J.S. [Observatorio Nacional, Rua Gal. Jose Cristino 77, 20921-400 Rio de Janeiro (Brazil) and Universidade do Estado do Rio Grande do Norte, 59610-210 Mossoro, RN (Brazil); Departamento de Fisica, Universidade Federal do Rio Grande do Norte, 59072-970 Natal, RN (Brazil); Observatorio Nacional, Rua Gal. Jose Cristino 77, 20921-400 Rio de Janeiro (Brazil)
2006-02-15T23:59:59.000Z
We have revisited the fragment-asperity interaction model recently introduced by Sotolongo-Costa and Posadas [Phy. Rev. Lett. 92, 048501 (2004)] by considering a different definition for mean values in the context of Tsallis nonextensive statistics and introducing a scale between the earthquake energy and the size of fragment {epsilon}{proportional_to}r{sup 3}. The energy-distribution function (EDF) deduced in our approach is considerably different from the one obtained in the above reference. We have also tested the viability of this EDF with data from two different catalogs (in three different areas), namely, the NEIC and the Bulletin Seismic of the Revista Brasileira de Geofisica. Although both approaches provide very similar values for the nonextensive parameter q, other physical quantities, e.g., energy density, differ considerably by several orders of magnitude.
Model stars for the modelling of galaxies: $?$-enhancement in stellar populations models
P. Coelho
2008-02-19T23:59:59.000Z
Stellar population (SP) models are an essential tool to understand the observations of galaxies and clusters. One of the main ingredients of a SP model is a library of stellar spectra, and both empirical and theoretical libraries can been used for this purpose. Here I will start by giving a short overview of the pros and cons of using theoretical libraries, i.e. model stars, to produce our galaxy models. Then I will address the question on how theoretical libraries can be used to model stellar populations, in particular to explore the effect of $\\alpha$-enhancement on spectral observables.
Radiolysis Model Formulation for Integration with the Mixed Potential Model
Buck, Edgar C.; Wittman, Richard S.
2014-07-10T23:59:59.000Z
The U.S. Department of Energy Office of Nuclear Energy (DOE-NE), Office of Fuel Cycle Technology has established the Used Fuel Disposition Campaign (UFDC) to conduct the research and development activities related to storage, transportation, and disposal of used nuclear fuel (UNF) and high-level radioactive waste. Within the UFDC, the components for a general system model of the degradation and subsequent transport of UNF is being developed to analyze the performance of disposal options [Sassani et al., 2012]. Two model components of the near-field part of the problem are the ANL Mixed Potential Model and the PNNL Radiolysis Model. This report is in response to the desire to integrate the two models as outlined in [Buck, E.C, J.L. Jerden, W.L. Ebert, R.S. Wittman, (2013) “Coupling the Mixed Potential and Radiolysis Models for Used Fuel Degradation,” FCRD-UFD-2013-000290, M3FT-PN0806058
LANL computer model boosts engine efficiency
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
LANL computer model boosts engine efficiency LANL computer model boosts engine efficiency The KIVA model has been instrumental in helping researchers and manufacturers understand...
Realization Modeling and Simulation in the
: Decision: objective hierarchies and influence diagram System: rover suspension model using Modelica Realization Laboratory System Modeling Modelica language: an object-oriented modeling language for engineering
Watershed Modeling for Biofuels | Argonne National Laboratory
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Watershed Modeling for Biofuels Argonne's watershed modeling research addresses water quality in tributary basins of the Mississippi River Basin Argonne's watershed modeling...
Sandia National Laboratories: Reference Model 3
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Reference Model 3 Sandia, NREL Release Wave Energy Converter Modeling and Simulation Code: WEC-Sim On July 29, 2014, in Computational Modeling & Simulation, Energy, News, News &...
Integrated Nozzle Flow, Spray, Combustion, & Emission Modeling...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Nozzle Flow, Spray, Combustion, & Emission Modeling using KH-ACT Primary Breakup Model & Detailed Chemistry Integrated Nozzle Flow, Spray, Combustion, & Emission Modeling using...
Medion:The "Orchestrator" Business Model
Ordanini, Andrea; Dedrick, Jason; Kraemer, Kenneth L
2006-01-01T23:59:59.000Z
The “Orchestrator” Business Model November 2006 ANDREAThe “Orchestrator” Business Model Medion is not a producta strongly atypical business model in the PC value chain. It
Innovative Corridors Initiative: Business Model Analysis
Shaheen, Susan; Lingham, Viginia; Finson, Rachel S.
2007-01-01T23:59:59.000Z
Wenger, Joyce. Business Models for Vehicle InfrastructureCorridors Initiative: Business Model Analysis Rachel S.Corridors Initiative: Business Model Analysis Task Order
A reinforcement learning model of gaze following
Jasso, Hector
2007-01-01T23:59:59.000Z
Modeling (ICCM 2006), Trieste, Italy, April 2006. TheModeling (ICCM 2006), Trieste, Italy, April H. Jasso, J.Modeling (ICCM 2006), Trieste, Italy, April 2006. The
Sandia National Laboratories: PV Performance Modeling Collaborative
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Modeling Collaborative PV Performance Modeling Collaborative's New and Improved Website Is Launched On December 10, 2014, in Computational Modeling & Simulation, Energy,...
Sandia National Laboratories: PV Reliability & Performance Model
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Generator Modeling Radar Friendly Blades Special Programs Techno-Economic Modeling, Analysis, and Support Analysis, Modeling, Cost of Energy, and Policy Impact: Wind Vision 2014...
Better Buildings Neighborhood Program Business Models Guide:...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Non-Utility Program Administrator Business Model Better Buildings Neighborhood Program Business Models Guide: Non-Utility Program Administrator Business Model Non-utility program...
Development of a Dynamic DOE Calibration Model
Broader source: Energy.gov (indexed) [DOE]
cell characterization * Train and validate dynamic models * Apply models for system optimization Results * Dynamic emissions models have been developed (validation error on the...
Nuclear Systems Modeling, Simulation & Validation | ORNL
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Systems Modeling and Simulation SHARE Nuclear Systems Modeling, Simulation and Validation Reactor physics depletion model for the Advanced Test Reactor Reactor physics depletion...
Solar Advisor Model; Session: Modeling and Analysis (Presentation)
Blair, N.
2008-04-01T23:59:59.000Z
This project supports the Solar America Initiative by: (1) providing a consistent framework for analyzing and comparing power system costs and performance across the range of solar technologies and markets, PV, solar heat systems, CSP, residential, commercial and utility markets; (2) developing and validating performance models to enable accurate calculation of levelized cost of energy (LCOE); (3) providing a consistent modeling platform for all TPP's; and (4) supporting implementation and usage of cost models.
NONE
1996-02-26T23:59:59.000Z
The Natural Gas Transmission and Distribution Model (NGTDM) of the National Energy Modeling System is developed and maintained by the Energy Information Administration (EIA), Office of Integrated Analysis and Forecasting. This report documents the archived version of the NGTDM that was used to produce the natural gas forecasts presented in the Annual Energy Outlook 1996, (DOE/EIA-0383(96)). The purpose of this report is to provide a reference document for model analysts, users, and the public that defines the objectives of the model, describes its basic approach, and provides detail on the methodology employed. Previously this report represented Volume I of a two-volume set. Volume II reported on model performance, detailing convergence criteria and properties, results of sensitivity testing, comparison of model outputs with the literature and/or other model results, and major unresolved issues.
Alternatives to traditional model comparison strategies for covariance structure models
Preacher, K. J.; Cai, Li; MacCallum, R. C.
2007-01-01T23:59:59.000Z
involving an extension of recently introduced methods to nested model scenarios. Following our discussion of power, we further explore the potential value of adopting a model selection approach that avoids hypoth- a105 ?Chapter3?Preacher? ? 2007/2/12 ? 15... is literally true, there is an obvious logical problem in testing the null hypothesis that a model fits data perfectly in the population. Yet, this is precisely the hypothesis tested by the popular LR test of model a105 ?Chapter3?Preacher? ? 2007/2/12 ? 15...
Petroleum Market Model of the National Energy Modeling System
NONE
1997-01-01T23:59:59.000Z
The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. The PMM models petroleum refining activities, the marketing of petroleum products to consumption regions. The production of natural gas liquids in gas processing plants, and domestic methanol production. The PMM projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil, both domestic and imported; other inputs including alcohols and ethers; natural gas plant liquids production; petroleum product imports; and refinery processing gain. In addition, the PMM estimates domestic refinery capacity expansion and fuel consumption. Product prices are estimated at the Census division level and much of the refining activity information is at the Petroleum Administration for Defense (PAD) District level. This report is organized as follows: Chapter 2, Model Purpose; Chapter 3, Model Overview and Rationale; Chapter 4, Model Structure; Appendix A, Inventory of Input Data, Parameter Estimates, and Model Outputs; Appendix B, Detailed Mathematical Description of the Model; Appendix C, Bibliography; Appendix D, Model Abstract; Appendix E, Data Quality; Appendix F, Estimation methodologies; Appendix G, Matrix Generator documentation; Appendix H, Historical Data Processing; and Appendix I, Biofuels Supply Submodule.
A probabilistic graphical model based stochastic input model construction
Wan, Jiang [Materials Process Design and Control Laboratory, Sibley School of Mechanical and Aerospace Engineering, 101 Frank H.T. Rhodes Hall, Cornell University, Ithaca, NY 14853-3801 (United States); Zabaras, Nicholas, E-mail: nzabaras@gmail.com [Materials Process Design and Control Laboratory, Sibley School of Mechanical and Aerospace Engineering, 101 Frank H.T. Rhodes Hall, Cornell University, Ithaca, NY 14853-3801 (United States); Center for Applied Mathematics, 657 Frank H.T. Rhodes Hall, Cornell University, Ithaca, NY 14853-3801 (United States)
2014-09-01T23:59:59.000Z
Model reduction techniques have been widely used in modeling of high-dimensional stochastic input in uncertainty quantification tasks. However, the probabilistic modeling of random variables projected into reduced-order spaces presents a number of computational challenges. Due to the curse of dimensionality, the underlying dependence relationships between these random variables are difficult to capture. In this work, a probabilistic graphical model based approach is employed to learn the dependence by running a number of conditional independence tests using observation data. Thus a probabilistic model of the joint PDF is obtained and the PDF is factorized into a set of conditional distributions based on the dependence structure of the variables. The estimation of the joint PDF from data is then transformed to estimating conditional distributions under reduced dimensions. To improve the computational efficiency, a polynomial chaos expansion is further applied to represent the random field in terms of a set of standard random variables. This technique is combined with both linear and nonlinear model reduction methods. Numerical examples are presented to demonstrate the accuracy and efficiency of the probabilistic graphical model based stochastic input models. - Highlights: • Data-driven stochastic input models without the assumption of independence of the reduced random variables. • The problem is transformed to a Bayesian network structure learning problem. • Examples are given in flows in random media.
Model Predictability Depends on Model Fidelity: Challenges in...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
and climate, and projections of climate change, show that current climate and Earth-system models continue to have stubborn irreducible errors. It is unlikely that the...
Assessment of Molecular Modeling & Simulation
None
2002-01-03T23:59:59.000Z
This report reviews the development and applications of molecular and materials modeling in Europe and Japan in comparison to those in the United States. Topics covered include computational quantum chemistry, molecular simulations by molecular dynamics and Monte Carlo methods, mesoscale modeling of material domains, molecular-structure/macroscale property correlations like QSARs and QSPRs, and related information technologies like informatics and special-purpose molecular-modeling computers. The panel's findings include the following: The United States leads this field in many scientific areas. However, Canada has particular strengths in DFT methods and homogeneous catalysis; Europe in heterogeneous catalysis, mesoscale, and materials modeling; and Japan in materials modeling and special-purpose computing. Major government-industry initiatives are underway in Europe and Japan, notably in multi-scale materials modeling and in development of chemistry-capable ab-initio molecular dynamics codes.
Model prediction for reactor control
Ardell, G.G.; Gumowski, B.
1983-06-01T23:59:59.000Z
Model prediction is offered as a substitute to lengthy analysis of sample procedures to control product properties not amendable to direct measurement during chemical processing. A computer model of a reactor is set up, and control actions, based on current predicted values, are established. The control is based on predicted ''measurements'' which are derived using a dynamic process model solved on-line. The model is corrected by real measurements in the process operation. A two phase exothermic catalyzed reaction, with the objective of producing material with specified properties, is tested in this paper. The model prediction performance was very good. Model systems enable a more effective control to be exercised than the sample method.
Are Standard Solar Models Reliable?
John N. Bahcall; M. H. Pinsonneault; Sarbani Basu; J. Christensen-Dalsgaard
1996-12-20T23:59:59.000Z
The sound speeds of solar models that include element diffusion agree with helioseismological measurements to a rms discrepancy of better than 0.2% throughout almost the entire sun. Models that do not include diffusion, or in which the interior of the sun is assumed to be significantly mixed, are effectively ruled out by helioseismology. Standard solar models predict the measured properties of the sun more accurately than is required for applications involving solar neutrinos.
Kinetic models of opinion formation
G. Toscani
2006-05-17T23:59:59.000Z
We introduce and discuss certain kinetic models of (continuous) opinion formation involving both exchange of opinion between individual agents and diffusion of information. We show conditions which ensure that the kinetic model reaches non trivial stationary states in case of lack of diffusion in correspondence of some opinion point. Analytical results are then obtained by considering a suitable asymptotic limit of the model yielding a Fokker-Planck equation for the distribution of opinion among individuals.
Huang, Xiaobiao; /SLAC; Safranek, James; /SLAC
2012-06-28T23:59:59.000Z
We use measured or simulated magnetic fields for dipoles and quadrupoles to build a lattice model for SPEAR3. In a non-symplectic approach the phase space coordinate mapping on the fields is based on numerical integration of the equation of motion. In a symplectic approach we approximate the fields with proper fringe field models. Complication of the use of rectangular gradient dipoles in SPEAR3 is considered. Results of the model is compared to measurements on the real machine.
Sijie Gao; Xiaobao Wang
2014-12-26T23:59:59.000Z
We reconsider some fundamental problems of the thin shell model. First, we point out that the "cut and paste" construction does not guarantee a well-defined manifold because there is no overlap of coordinates across the shell. When one requires that the spacetime metric across the thin shell is continuous, it also provides a way to specify the tangent space and the manifold. Other authors have shown that this specification leads to the conservation laws when shells collide. On the other hand, the well-known areal radius $r$ seems to be a perfect coordinate covering all regions of a spherically symmetric spacetime. However, we show by simple but rigorous arguments that $r$ fails to be a coordinate covering a neighborhood of the thin shell if the metric across the shell is continuous. When two spherical shells collide and merge into one, we show that it is possible that $r$ remains to be a good coordinate and the conservation laws hold. To make this happen, different spacetime regions divided by the shells must be glued in a specific way such that some constraints are satisfied. We compare our new construction with the old one by solving constraints numerically.
Structural model of uramarsite
Rastsvetaeva, R. K., E-mail: rast@ns.crys.ras.ru [Russian Academy of Sciences, Shubnikov Institute of Crystallography (Russian Federation); Sidorenko, G. A. [All-Russia Research Institute of Mineral Resources (VIMS) (Russian Federation); Ivanova, A. G. [Russian Academy of Sciences, Shubnikov Institute of Crystallography (Russian Federation); Chukanov, N. V. [Russian Academy of Sciences, Institute of Problems of Chemical Physics (Russian Federation)
2008-09-15T23:59:59.000Z
The structural model of uramarsite, a new mineral of the uran-mica family from the Bota-Burum deposit (South Kazakhstan), is determined using a single-crystal X-ray diffraction analysis. The parameters of the triclinic unit cell are as follows: a = 7.173(2) A, b = 7.167(5) A, c = 9.30(1) A, {alpha} = 90.13(7){sup o}, {beta} = 90.09(4){sup o}, {gamma} = 89.96(4){sup o}, and space group P1. The crystal chemical formula of uramarsite is: (UO{sub 2}){sub 2}[AsO{sub 4}][PO{sub 4},AsO{sub 4}][NH{sub 4}][H{sub 3}O] . 6H{sub 2}O (Z = 1). Uramarsite is the second ammonium-containing mineral of uranium and an arsenate analogue of uramphite. In the case of uramarsite, the lowering of the symmetry from tetragonal to triclinic, which is accompanied by a triclinic distortion of the tetragonal unit cell, is apparently caused by the ordering of the As and P atoms and the NH{sub 4}, H{sub 3}O, and H{sub 2}O groups.
Transport Properties for Combustion Modeling
Brown, N.J.
2010-01-01T23:59:59.000Z
a critical role in combustion processes just as chemicalparameters are essential for combustion modeling; molecularwith Application to Combustion. Transport Theor Stat 2003;
ORISE: Dose modeling and assessments
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
or state regulatory compliance requirements are being met during the decontamination and decommissioning of nuclear facilities. Dose modeling is an important step in the...
Numerical Modeling of HCCI Combustion
Broader source: Energy.gov (indexed) [DOE]
Numerical Modeling of HCCI Combustion Salvador M. Aceves, Daniel L. Flowers, J. Ray Smith, Joel Martinez-Frias, Francisco Espinosa-Loza, Tim Ross, Bruce Buchholz, Nick...
Critique of ``Expected Value`` models
May, W.L.
1996-06-01T23:59:59.000Z
There are a number of models in the defense community which use a methodology referred to as ``Expected Value`` to perform sequential calculations of unit attritions or expenditures. The methodology applied to two-sided, dependent, sequential events can result in an incorrect model. An example of such an incorrect model is offered to show that these models may yield results which deviate significantly from a stochastic or Markov process approach. The example was derived from an informal discussion at the Center for Naval Analyses.
Spatiotemporal brain imaging and modeling
Lin, Fa-Hsuan, 1972-
2004-01-01T23:59:59.000Z
This thesis integrates hardware development, data analysis, and mathematical modeling to facilitate our understanding of brain cognition. Exploration of these brain mechanisms requires both structural and functional knowledge ...
Hierarchical aggregation in percolation model
2006-01-17T23:59:59.000Z
which originated in hydrology and has not been well known in physical applications, allowed Gabrielov et al. (1999) to formulate an exactly solvable model for.
Nuclear Fallout Models – An Overview
Hodges, Matthew [UNLV
2014-10-21T23:59:59.000Z
This presentation is an introduction to a full report, which is a tutorial for individuals using the products of the models reviewed.
Model Checking for Software Architectures
Joseph Fourier Grenoble-I, UniversitÃ©
-Dulay-Eisenbach-Kramer-95] Â -calculus + FSP Â LTSA (LTL properties) #12;6EWSA 2004 (May 21-22, St Andrews, Scotland) Model
Power Plant Modeling and Simulation
None
2010-01-08T23:59:59.000Z
The National Energy Technology Laboratory's Office of Research and Development provides open source tools and expetise for modeling and simulating power plants and carbon sequestration technologies.
Lorentz conserving noncommutative standard model
Ettefaghi, M. M.; Haghighat, M. [Department of Physics, Isfahan University of Technology, Isfahan (Iran, Islamic Republic of)
2007-06-15T23:59:59.000Z
We consider Lorentz-conserving noncommutative field theory to construct the Lorentz-conserving noncommutative standard model based on the gauge group SU(3)xSU(2)xU(1). We obtain the enveloping algebra-valued of Higgs field up to the second order of the noncommutativity parameter {theta}{sub {mu}}{sub {nu}}. We derive the action at the leading order and find new vertices which are absent in the ordinary standard model as well as the minimal noncommutative standard model. We briefly study the phenomenological aspects of the model.
Numerical wind speed simulation model
Ramsdell, J.V.; Athey, G.F.; Ballinger, M.Y.
1981-09-01T23:59:59.000Z
A relatively simple stochastic model for simulating wind speed time series that can be used as an alternative to time series from representative locations is described in this report. The model incorporates systematic seasonal variation of the mean wind, its standard deviation, and the correlation speeds. It also incorporates systematic diurnal variation of the mean speed and standard deviation. To demonstrate the model capabilities, simulations were made using model parameters derived from data collected at the Hanford Meteorology Station, and results of analysis of simulated and actual data were compared.
Turbulence models of gravitational clustering
Jose Gaite
2012-02-15T23:59:59.000Z
Large-scale structure formation can be modeled as a nonlinear process that transfers energy from the largest scales to successively smaller scales until it is dissipated, in analogy with Kolmogorov's cascade model of incompressible turbulence. However, cosmic turbulence is very compressible, and vorticity plays a secondary role in it. The simplest model of cosmic turbulence is the adhesion model, which can be studied perturbatively or adapting to it Kolmogorov's non-perturbative approach to incompressible turbulence. This approach leads to observationally testable predictions, e.g., to the power-law exponent of the matter density two-point correlation function.
Model building techniques for analysis.
Walther, Howard P.; McDaniel, Karen Lynn; Keener, Donald; Cordova, Theresa Elena; Henry, Ronald C.; Brooks, Sean; Martin, Wilbur D.
2009-09-01T23:59:59.000Z
The practice of mechanical engineering for product development has evolved into a complex activity that requires a team of specialists for success. Sandia National Laboratories (SNL) has product engineers, mechanical designers, design engineers, manufacturing engineers, mechanical analysts and experimentalists, qualification engineers, and others that contribute through product realization teams to develop new mechanical hardware. The goal of SNL's Design Group is to change product development by enabling design teams to collaborate within a virtual model-based environment whereby analysis is used to guide design decisions. Computer-aided design (CAD) models using PTC's Pro/ENGINEER software tools are heavily relied upon in the product definition stage of parts and assemblies at SNL. The three-dimensional CAD solid model acts as the design solid model that is filled with all of the detailed design definition needed to manufacture the parts. Analysis is an important part of the product development process. The CAD design solid model (DSM) is the foundation for the creation of the analysis solid model (ASM). Creating an ASM from the DSM currently is a time-consuming effort; the turnaround time for results of a design needs to be decreased to have an impact on the overall product development. This effort can be decreased immensely through simple Pro/ENGINEER modeling techniques that summarize to the method features are created in a part model. This document contains recommended modeling techniques that increase the efficiency of the creation of the ASM from the DSM.
Viseoolastio effective rheologies for modelling
fluid relaxation function coupling coef?cient The model satisfies basic physical properties such as, for ... velocity dispersion at sonic and ultrasonic frequencies [l'
Limit theory for overfit models
Calhoun, Grayson Ford
2009-01-01T23:59:59.000Z
theory. . . . . . . . . . . . . . . . . . . . . . . . .1.2 Asymptotic Theory and Main Results . . . . . . . . .Chapter 2 Limit theory for comparing over?t models out-of-
Rotordynamic instability: nonlinear modeling and analysis
Cooper, Charles Ira
1998-01-01T23:59:59.000Z
A basic rotordynamic model is developed for an crographics. unbalanced rotor connected to a shaft modeled as a continuous beam. This model examines the effects of nonlinear dynamics strictly related to the rotor and shaft. The model dynamics include...
CONCEPTUAL MODELLING OF A CONCURRENT ENGINEERING ENVIRONMENT
Amor, Robert
CONCEPTUAL MODELLING OF A CONCURRENT ENGINEERING ENVIRONMENT Z. Turk1 , R. Wasserfuhr2 , P assisted concurrent engineering. Later experiences have shown that product modelling alone modelling framework which decomposes an abstract concurrent engineering environment into several modelling
Updating MIT's cost estimation model for shipbuilding
Smith, Matthew B., Lieutenant, junior grade
2008-01-01T23:59:59.000Z
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 ...
STATISTICAL MODEL OF SYSTEMATIC ERRORS: LINEAR ERROR MODEL
Rudnyi, Evgenii B.
to apply. The algorithm to maximize a likelihood function in the case of a non-linear physico - the same variances of errors 3.1. One-way classification 3.2. Linear regression 4. Real case (vaporizationSTATISTICAL MODEL OF SYSTEMATIC ERRORS: LINEAR ERROR MODEL E.B. Rudnyi Department of Chemistry
Vegetated Roof Water-Balance Model: Experimental and Model Results
urbanization effects on the water cycle. Although there are many stormwater best management practices (BMPs (ET) and soil media water storage between storm events. Lazzarin et al. (2005) estimated that ET ratesVegetated Roof Water-Balance Model: Experimental and Model Results James A. Sherrard Jr.1
Evaluation of a Vector Hypercube for Seismic Modelling Seismic modelling
Renaut, Rosemary
Evaluation of a Vector Hypercube for Seismic Modelling Abstract Seismic modelling is a computationally to produce realistic seismic traces intensive problem. A 2D syn- Rosemary Renautt and Johnny equation is the first step in the generation of a synthetic seismogram as an aid in the interpretation
Modelling and Hazard Analysis for Contaminated Sediments Using Stamp Model
Boyer, Edmond
to evaluate safety and to perform accident analysis). Finally, the third section describes the concreteModelling and Hazard Analysis for Contaminated Sediments Using Stamp Model Karim Hardy* , Franck complex, call for a comprehensive approach to risk analysis which characterises all threats (to humans
Broader source: Energy.gov [DOE]
Better Buildings Neighborhood Program Business Models Guide: HVAC Contractor Business Model Introduction.
Geothermal Electricity Technology Evaluation Model (GETEM) Development...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Electricity Technology Evaluation Model (GETEM) Development Geothermal Electricity Technology Evaluation Model (GETEM) Development Project objective: Provide a tool for estimating...
Multiphase Sequestration Geochemistry: Model for Mineral Carbonation...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Multiphase Sequestration Geochemistry: Model for Mineral Carbonation. Multiphase Sequestration Geochemistry: Model for Mineral Carbonation. Abstract: Carbonation of formation...
GLOBAL COMPREHENSIVE MODELS IN POLITICS AND POLICYMAKING
Edwards, Paul N.
. In this editorial, I reflect on the role of comprehensive models, such as IAMs and earth system models (ESMs
Comparative Analysis of Modeling Studies on China's Future Energy and Emissions Outlook
Zheng, Nina; Zhou, Nan; Fridley, David
2010-09-01T23:59:59.000Z
The past decade has seen the development of various scenarios describing long-term patterns of future Greenhouse Gas (GHG) emissions, with each new approach adding insights to our understanding of the changing dynamics of energy consumption and aggregate future energy trends. With the recent growing focus on China's energy use and emission mitigation potential, a range of Chinese outlook models have been developed across different institutions including in China's Energy Research Institute's 2050 China Energy and CO2 Emissions Report, McKinsey & Co's China's Green Revolution report, the UK Sussex Energy Group and Tyndall Centre's China's Energy Transition report, and the China-specific section of the IEA World Energy Outlook 2009. At the same time, the China Energy Group at Lawrence Berkeley National Laboratory (LBNL) has developed a bottom-up, end-use energy model for China with scenario analysis of energy and emission pathways out to 2050. A robust and credible energy and emission model will play a key role in informing policymakers by assessing efficiency policy impacts and understanding the dynamics of future energy consumption and energy saving and emission reduction potential. This is especially true for developing countries such as China, where uncertainties are greater while the economy continues to undergo rapid growth and industrialization. A slightly different assumption or storyline could result in significant discrepancies among different model results. Therefore, it is necessary to understand the key models in terms of their scope, methodologies, key driver assumptions and the associated findings. A comparative analysis of LBNL's energy end-use model scenarios with the five above studies was thus conducted to examine similarities and divergences in methodologies, scenario storylines, macroeconomic drivers and assumptions as well as aggregate energy and emission scenario results. Besides directly tracing different energy and CO{sub 2} savings potential back to the underlying strategies and combination of efficiency and abatement policy instruments represented by each scenario, this analysis also had other important but often overlooked findings.
Optimal Model-Based Production Planning
Grossmann, Ignacio E.
Optimal Model-Based Production Planning for Refinery Operation Abdulrahman Alattas Advisor: Ignacio;Outline Introduction Refinery Planning Model Development LP Planning Models NLP Planning Models FI Model Aggregate Model Conclusion & Future work 2 #12;3 Introduction Refinery production planning
Integration of Nonlinear CDU Models in Refinery
Grossmann, Ignacio E.
Integration of Nonlinear CDU Models in Refinery Planning Optimization Abdulrahman Alattas, Advisor #12;Refinery Planning Model Development Fixed-yieldModels SwingcutsModels LPPlanningModels Aggregate for the CDU #12;Planning Model Example Typical Refinery Configuration (Adapted from Aronofsky, 1978) Cat Ref
Multipole Expansion Model in Gravitational Lensing
T. Fukuyama; Y. Kakigi; T. Okamura
1997-01-31T23:59:59.000Z
Non-transparent models of multipole expansion model and two point-mass model are analyzed from the catastrophe theory. Singularity behaviours of $2^n$-pole moments are discussed. We apply these models to triple quasar PG1115+080 and compare with the typical transparent model, softened power law spheroids. Multipole expansion model gives the best fit among them.
NONE
1994-02-24T23:59:59.000Z
The Natural Gas Transmission and Distribution Model (NGTDM) is a component of the National Energy Modeling System (NEMS) used to represent the domestic natural gas transmission and distribution system. NEMS is the third in a series of computer-based, midterm energy modeling systems used since 1974 by the Energy Information Administration (EIA) and its predecessor, the Federal Energy Administration, to analyze domestic energy-economy markets and develop projections. This report documents the archived version of NGTDM that was used to produce the natural gas forecasts used in support of the Annual Energy Outlook 1994, DOE/EIA-0383(94). The purpose of this report is to provide a reference document for model analysts, users, and the public that defines the objectives of the model, describes its basic design, provides detail on the methodology employed, and describes the model inputs, outputs, and key assumptions. It is intended to fulfill the legal obligation of the EIA to provide adequate documentation in support of its models (Public Law 94-385, Section 57.b.2). This report represents Volume 1 of a two-volume set. (Volume 2 will report on model performance, detailing convergence criteria and properties, results of sensitivity testing, comparison of model outputs with the literature and/or other model results, and major unresolved issues.) Subsequent chapters of this report provide: (1) an overview of the NGTDM (Chapter 2); (2) a description of the interface between the National Energy Modeling System (NEMS) and the NGTDM (Chapter 3); (3) an overview of the solution methodology of the NGTDM (Chapter 4); (4) the solution methodology for the Annual Flow Module (Chapter 5); (5) the solution methodology for the Distributor Tariff Module (Chapter 6); (6) the solution methodology for the Capacity Expansion Module (Chapter 7); (7) the solution methodology for the Pipeline Tariff Module (Chapter 8); and (8) a description of model assumptions, inputs, and outputs (Chapter 9).
Infrared Catastrophe for Nelson's Model
Masao Hirokawa
2005-11-08T23:59:59.000Z
We mathematically study the infrared catastrophe for the Hamiltonian of Nelson's model when it has the external potential in a general class. For the model, we prove the pull-through formula on ground states in operator theory first. Based on this formula, we show both non-existence of any ground state and divergence of the total number of soft bosons.
Advanced Modeling Environments Daniel Dolk
Kimbrough, Steven Orla
of system software for managing them. In the case of databases, database management systems are mature quality are available and heavily used by organizations. This is not the case for model manage- ment research in model management and decision support systems and related fields. With this as background
Multimedia Project Studio Service Model
McShea, Daniel W.
Multimedia Project Studio Service Model Over the course of the summer of 2010, we took a fresh look at the MPS Service Model. The goal was to ensure the MPS is meeting campus needs in the multimedia support to engage the campus community effectively in an ongoing fashion. #12;Multimedia Project Studio - Service
Autotune E+ Building Energy Models
New, Joshua Ryan [ORNL; Sanyal, Jibonananda [ORNL; Bhandari, Mahabir S [ORNL; Shrestha, Som S [ORNL
2012-01-01T23:59:59.000Z
This paper introduces a novel Autotune methodology under development for calibrating building energy models (BEM). It is aimed at developing an automated BEM tuning methodology that enables models to reproduce measured data such as utility bills, sub-meter, and/or sensor data accurately and robustly by selecting best-match E+ input parameters in a systematic, automated, and repeatable fashion. The approach is applicable to a building retrofit scenario and aims to quantify the trade-offs between tuning accuracy and the minimal amount of ground truth data required to calibrate the model. Autotune will use a suite of machine-learning algorithms developed and run on supercomputers to generate calibration functions. Specifically, the project will begin with a de-tuned model and then perform Monte Carlo simulations on the model by perturbing the uncertain parameters within permitted ranges. Machine learning algorithms will then extract minimal perturbation combinations that result in modeled results that most closely track sensor data. A large database of parametric EnergyPlus (E+) simulations has been made publicly available. Autotune is currently being applied to a heavily instrumented residential building as well as three light commercial buildings in which a de-tuned model is autotuned using faux sensor data from the corresponding target E+ model.
..........................................................................................................................................................9 The DSR process model state machine ................................................................................................................................... 13 Introduction The goal of this report is to present and describe the Dynamic Source Routing (DSR of this node model is done in the second part of the report. Finally, the third and last part of the report
Stellar Evolution A Statistical Model
van Dyk, David
Stellar Evolution A Statistical Model Statistical Computation Analysis of the Hyades Cluster Statistical Analysis of Stellar Evolution David A. van Dyk1 Steven DeGennaro2 Nathan Stein2 William H Statistical Analysis of Stellar Evolution #12;Stellar Evolution A Statistical Model Statistical Computation
Modelling sustainable development Ivar Ekeland
Ekeland, Ivar
Modelling sustainable development Ivar Ekeland www.ceremade.dauphine.fr/~ekeland CERMADE.ceremade.dauphine.fr/~ekeland (CERMADE, Universite Paris-Dauphine)Modelling sustainable development Collloque Sorin, IHP, Juin 2012 1 / 17 #12;Sustainable development The de...nition given by the Brundtland commision to the UN (1987
4, 1367, 2007 Modelling carbon
Paris-Sud XI, Université de
BGD 4, 1367, 2007 Modelling carbon overconsumption and extracellular POC formation M. Schartau et carbon overconsumption and the formation of extracellular particulate organic carbon M. Schartau1 , A Correspondence to: M. Schartau (markus.schartau@gkss.de) 13 #12;BGD 4, 1367, 2007 Modelling carbon
Consumer Vehicle Choice Model Documentation
Liu, Changzheng [ORNL] [ORNL; Greene, David L [ORNL] [ORNL
2012-08-01T23:59:59.000Z
In response to the Fuel Economy and Greenhouse Gas (GHG) emissions standards, automobile manufacturers will need to adopt new technologies to improve the fuel economy of their vehicles and to reduce the overall GHG emissions of their fleets. The U.S. Environmental Protection Agency (EPA) has developed the Optimization Model for reducing GHGs from Automobiles (OMEGA) to estimate the costs and benefits of meeting GHG emission standards through different technology packages. However, the model does not simulate the impact that increased technology costs will have on vehicle sales or on consumer surplus. As the model documentation states, “While OMEGA incorporates functions which generally minimize the cost of meeting a specified carbon dioxide (CO2) target, it is not an economic simulation model which adjusts vehicle sales in response to the cost of the technology added to each vehicle.” Changes in the mix of vehicles sold, caused by the costs and benefits of added fuel economy technologies, could make it easier or more difficult for manufacturers to meet fuel economy and emissions standards, and impacts on consumer surplus could raise the costs or augment the benefits of the standards. Because the OMEGA model does not presently estimate such impacts, the EPA is investigating the feasibility of developing an adjunct to the OMEGA model to make such estimates. This project is an effort to develop and test a candidate model. The project statement of work spells out the key functional requirements for the new model.
The PASS project architectural model
Day, C.T.; Loken, S.; Macfarlane, J.F. [Lawrence Berkeley Lab., CA (United States)] [and others
1994-08-01T23:59:59.000Z
The PASS project has as its goal the implementation of solutions to the foreseen data access problems of the next generation of scientific experiments. The architectural model results from an evaluation of the operational and technical requirements and is described in terms of an abstract reference model, an implementation model and a discussion of some design aspects. The abstract reference model describes a system that matches the requirements in terms of its components and the mechanisms by which they communicate, but does not discuss policy or design issues that would be necessary to match the model to an actual implementation. Some of these issues are discussed, but more detailed design and simulation work will be necessary before choices can be made.
James Binney
2004-11-09T23:59:59.000Z
Techniques for the construction of dynamical Galaxy models should be considered essential infrastructure that should be put in place before GAIA flies. Three possible modelling techniques are discussed. Although one of these seems to have significantly more potential than the other two, at this stage work should be done on all three. A major effort is needed to decide how to make a model consistent with a catalogue such as that which GAIA will produce. Given the complexity of the problem, it is argued that a hierarchy of models should be constructed, of ever increasing complexity and quality of fit to the data. The potential that resonances and tidal streams have to indicate how a model should be refined is briefly discussed.
Applications of Time Series in Finance and Macroeconomics
Ibarra Ramirez, Raul
2011-08-08T23:59:59.000Z
with constant intensity. The last essay applies a dynamic factor model to generate out-of-sample forecasts for the inflation rate in Mexico. Factor models are useful to summarize the information contained in large datasets. We evaluate the role of using a wide...
Modelling Chinese Smart Grid: A Stochastic Model Checking Case Study
Yüksel, Ender; Nielson, Flemming; Zhu, Huibiao; Huang, Heqing
2012-01-01T23:59:59.000Z
Cyber-physical systems integrate information and communication technology functions to the physical elements of a system for monitoring and controlling purposes. The conversion of traditional power grid into a smart grid, a fundamental example of a cyber-physical system, raises a number of issues that require novel methods and applications. In this context, an important issue is the verification of certain quantitative properties of the system. In this technical report, we consider a specific Chinese Smart Grid implementation and try to address the verification problem for certain quantitative properties including performance and battery consumption. We employ stochastic model checking approach and present our modelling and analysis study using PRISM model checker.
EIA model documentation: Petroleum Market Model of the National Energy Modeling System
NONE
1994-12-30T23:59:59.000Z
The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA`s legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2). The PMM models petroleum refining activities, the marketing of products, the production of natural gas liquids and domestic methanol, projects petroleum provides and sources of supplies for meeting demand. In addition, the PMM estimates domestic refinery capacity expansion and fuel consumption.
A.M. Gandrik
2012-01-01T23:59:59.000Z
The High Temperature Gas-Cooler Reactor (HTGR) Cost Model was developed at the Idaho National Laboratory for the Next Generation Nuclear Plant Project. The HTGR Cost Model calculates an estimate of the capital costs, annual operating and maintenance costs, and decommissioning costs for a high-temperature gas-cooled reactor. The user can generate these costs for multiple reactor outlet temperatures; with and without power cycles, including either a Brayton or Rankine cycle; for the demonstration plant, first of a kind, or nth of a kind project phases; for a single or four-pack configuration; and for a reactor size of 350 or 600 MWt. This users manual contains the mathematical models and operating instructions for the HTGR Cost Model. Instructions, screenshots, and examples are provided to guide the user through the HTGR Cost Model. This model was design for users who are familiar with the HTGR design and Excel. Modification of the HTGR Cost Model should only be performed by users familiar with Excel and Visual Basic.
System Advisor Model: Flat Plate Photovoltaic Performance Modeling Validation Report
Freeman, J.; Whitmore, J.; Kaffine, L.; Blair, N.; Dobos, A. P.
2013-12-01T23:59:59.000Z
The System Advisor Model (SAM) is a free software tool that performs detailed analysis of both system performance and system financing for a variety of renewable energy technologies. This report provides detailed validation of the SAM flat plate photovoltaic performance model by comparing SAM-modeled PV system generation data to actual measured production data for nine PV systems ranging from 75 kW to greater than 25 MW in size. The results show strong agreement between SAM predictions and field data, with annualized prediction error below 3% for all fixed tilt cases and below 8% for all one axis tracked cases. The analysis concludes that snow cover and system outages are the primary sources of disagreement, and other deviations resulting from seasonal biases in the irradiation models and one axis tracking issues are discussed in detail.
Lee, S.; Dimenna, R.; Tamburello, D.
2011-02-14T23:59:59.000Z
The process of recovering and processing High Level Waste (HLW) the waste in storage tanks at the Savannah River Site (SRS) typically requires mixing the contents of the tank with one to four mixers (pumps) located within the tank. The typical criteria to establish a mixed condition in a tank are based on the number of pumps in operation and the time duration of operation. To ensure that a mixed condition is achieved, operating times are typically set conservatively long. This approach results in high operational costs because of the long mixing times and high maintenance and repair costs for the same reason. A significant reduction in both of these costs might be realized by reducing the required mixing time based on calculating a reliable indicator of mixing with a suitably validated computer code. The focus of the present work is to establish mixing criteria applicable to miscible fluids, with an ultimate goal of addressing waste processing in HLW tanks at SRS and quantifying the mixing time required to suspend sludge particles with the submersible jet pump. A single-phase computational fluid dynamics (CFD) approach was taken for the analysis of jet flow patterns with an emphasis on the velocity decay and the turbulent flow evolution for the farfield region from the pump. Literature results for a turbulent jet flow are reviewed, since the decay of the axial jet velocity and the evolution of the jet flow patterns are important phenomena affecting sludge suspension and mixing operations. The work described in this report suggests a basis for further development of the theory leading to the identified mixing indicators, with benchmark analyses demonstrating their consistency with widely accepted correlations. Although the indicators are somewhat generic in nature, they are applied to Savannah River Site (SRS) waste tanks to provide a better, physically based estimate of the required mixing time. Waste storage tanks at SRS contain settled sludge which varies in height from zero to 10 ft. The sludge has been characterized and modeled as micron-sized solids, typically 1 to 5 microns, at weight fractions as high as 20 to 30 wt%, specific gravities to 1.4, and viscosities up to 64 cp during motion. The sludge is suspended and mixed through the use of submersible slurry jet pumps. To suspend settled sludge, water is added to the tank as a slurry medium and stirred with the jet pump. Although there is considerable technical literature on mixing and solid suspension in agitated tanks, very little literature has been published on jet mixing in a large-scale tank. One of the main objectives in the waste processing is to provide feed of a uniform slurry composition at a certain weight percentage (e.g. typically {approx}13 wt% at SRS) over an extended period of time. In preparation of the sludge for slurrying, several important questions have been raised with regard to sludge suspension and mixing of the solid suspension in the bulk of the tank: (1) How much time is required to prepare a slurry with a uniform solid composition? (2) How long will it take to suspend and mix the sludge for uniform composition in any particular waste tank? (3) What are good mixing indicators to answer the questions concerning sludge mixing stated above in a general fashion applicable to any waste tank/slurry pump geometry and fluid/sludge combination?
INEEL AIR MODELING PROTOCOL ext
C. S. Staley; M. L. Abbott; P. D. Ritter
2004-12-01T23:59:59.000Z
Various laws stemming from the Clean Air Act of 1970 and the Clean Air Act amendments of 1990 require air emissions modeling. Modeling is used to ensure that air emissions from new projects and from modifications to existing facilities do not exceed certain standards. For radionuclides, any new airborne release must be modeled to show that downwind receptors do not receive exposures exceeding the dose limits and to determine the requirements for emissions monitoring. For criteria and toxic pollutants, emissions usually must first exceed threshold values before modeling of downwind concentrations is required. This document was prepared to provide guidance for performing environmental compliance-driven air modeling of emissions from Idaho National Engineering and Environmental Laboratory facilities. This document assumes that the user has experience in air modeling and dose and risk assessment. It is not intended to be a "cookbook," nor should all recommendations herein be construed as requirements. However, there are certain procedures that are required by law, and these are pointed out. It is also important to understand that air emissions modeling is a constantly evolving process. This document should, therefore, be reviewed periodically and revised as needed. The document is divided into two parts. Part A is the protocol for radiological assessments, and Part B is for nonradiological assessments. This document is an update of and supersedes document INEEL/INT-98-00236, Rev. 0, INEEL Air Modeling Protocol. This updated document incorporates changes in some of the rules, procedures, and air modeling codes that have occurred since the protocol was first published in 1998.
Air Conditioner Compressor Performance Model
Lu, Ning; Xie, YuLong; Huang, Zhenyu
2008-09-05T23:59:59.000Z
During the past three years, the Western Electricity Coordinating Council (WECC) Load Modeling Task Force (LMTF) has led the effort to develop the new modeling approach. As part of this effort, the Bonneville Power Administration (BPA), Southern California Edison (SCE), and Electric Power Research Institute (EPRI) Solutions tested 27 residential air-conditioning units to assess their response to delayed voltage recovery transients. After completing these tests, different modeling approaches were proposed, among them a performance modeling approach that proved to be one of the three favored for its simplicity and ability to recreate different SVR events satisfactorily. Funded by the California Energy Commission (CEC) under its load modeling project, researchers at Pacific Northwest National Laboratory (PNNL) led the follow-on task to analyze the motor testing data to derive the parameters needed to develop a performance models for the single-phase air-conditioning (SPAC) unit. To derive the performance model, PNNL researchers first used the motor voltage and frequency ramping test data to obtain the real (P) and reactive (Q) power versus voltage (V) and frequency (f) curves. Then, curve fitting was used to develop the P-V, Q-V, P-f, and Q-f relationships for motor running and stalling states. The resulting performance model ignores the dynamic response of the air-conditioning motor. Because the inertia of the air-conditioning motor is very small (H<0.05), the motor reaches from one steady state to another in a few cycles. So, the performance model is a fair representation of the motor behaviors in both running and stalling states.
Introduction to Holographic Superconductor Models
Rong-Gen Cai; Li Li; Li-Fang Li; Run-Qiu Yang
2015-05-07T23:59:59.000Z
In the last years it has been shown that some properties of strongly coupled superconductors can be potentially described by classical general relativity living in one higher dimension, which is known as holographic superconductors. This paper gives a quick and introductory overview of some holographic superconductor models with s-wave, p-wave and d-wave orders in the literature from point of view of bottom-up, and summarizes some basic properties of these holographic models in various regimes. The competition and coexistence of these superconductivity orders are also studied in these superconductor models.
Phase Transition in Tensor Models
Delepouve, Thibault
2015-01-01T23:59:59.000Z
Generalizing matrix models, tensor models generate dynamical triangulations in any dimension and support a $1/N$ expansion. Using the intermediate field representation we explicitly rewrite a quartic tensor model as a field theory for a fluctuation field around a vacuum state corresponding to the resummation of the entire leading order in $1/N$ (a resummation of the melonic family). We then prove that the critical regime in which the continuum limit in the sense of dynamical triangulations is reached is precisely a phase transition in the field theory sense for the fluctuation field.
A model of nonlinear electrodynamics
S. I. Kruglov
2014-12-02T23:59:59.000Z
A new model of nonlinear electrodynamics with two parameters is investigated. We also consider a model with one dimensional parameter. It was shown that the electric field of a point-like charge is not singular at the origin and there is the finiteness of the static electric energy of point-like charged particle. We obtain the canonical and symmetrical Belinfante energy-momentum tensors and dilatation currents. It is demonstrated that the dilatation symmetry and dual symmetry are broken in the models suggested. We have calculated the static electric energy of point-like particles.
Network model of human language
Markosova, Maria
2007-01-01T23:59:59.000Z
The phenomenon of human language is widely studied from various points of view. It is interesting not only for social scientists, antropologists or philosophers, but also for those, interesting in the network dynamics. In several recent papers word web, or language as a graph has been investigated. In this paper I revise recent studies of syntactical word web. I present a model of growing network in which such processes as node addition, edge rewiring and new link creation are taken into account. I argue, that this model is a satisfactory minimal model explaining measured data.
Introduction to Holographic Superconductor Models
Cai, Rong-Gen; Li, Li-Fang; Yang, Run-Qiu
2015-01-01T23:59:59.000Z
In the last years it has been shown that some properties of strongly coupled superconductors can be potentially described by classical general relativity living in one higher dimension, which is known as holographic superconductors. This paper gives a quick and introductory overview of some holographic superconductor models with s-wave, p-wave and d-wave orders in the literature from point of view of bottom-up, and summarizes some basic properties of these holographic models in various regimes. The competition and coexistence of these superconductivity orders are also studied in these superconductor models.
Introduction to Holographic Superconductor Models
Rong-Gen Cai; Li Li; Li-Fang Li; Run-Qiu Yang
2015-03-12T23:59:59.000Z
In the last years it has been shown that some properties of strongly coupled superconductors can be potentially described by classical general relativity living in one higher dimension, which is known as holographic superconductors. This paper gives a quick and introductory overview of some holographic superconductor models with s-wave, p-wave and d-wave orders in the literature from point of view of bottom-up, and summarizes some basic properties of these holographic models in various regimes. The competition and coexistence of these superconductivity orders are also studied in these superconductor models.
Introduction to Holographic Superconductor Models
Rong-Gen Cai; Li Li; Li-Fang Li; Run-Qiu Yang
2015-02-02T23:59:59.000Z
In the last years it has been shown that some properties of strongly coupled superconductors can be potentially described by classical general relativity living in one higher dimension, which is known as holographic superconductors. This paper gives a quick and introductory overview of some holographic superconductor models with s-wave, p-wave and d-wave orders in the literature from point of view of bottom-up, and summarizes some basic properties of these holographic models in various regimes. The competition and coexistence of these superconductivity orders are also studied in these superconductor models.
Physically-based demand modeling
Calloway, Terry Marshall
1980-01-01T23:59:59.000Z
Transactions on Automatic Control, vol. AC-19, December 1974, pp. 887-893. L3] |4] LS] [6] [7] LB] C. W. Brice and S. K. Jones, MPhysically-Based Demand Modeling, d EC-77-5-01-5057, RF 3673, Electric Power Institute, Texas A&M University, October 1978.... C. W. Br ice and 5, K, Jones, MStochastically-Based Physical Load Models Topical Report, " EC-77-5-01-5057, RF 3673, Electric Power Institute, Texas A&M University, May 1979. S. K. Jones and C. W. Brice, "Point Process Models for Power System...
Fracture model for cemented aggregates
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Zubelewicz, Aleksander; Thompson, Darla G.; Ostoja-Starzewski, Martin; Ionita, Axinte; Shunk, Devin; Lewis, Matthew W.; Lawson, Joe C.; Kale, Sohan; Koric, Seid
2013-01-01T23:59:59.000Z
A mechanisms-based fracture model applicable to a broad class of cemented aggregates and, among them, plastic-bonded explosive (PBX) composites, is presented. The model is calibrated for PBX 9502 using the available experimental data under uniaxial compression and tension gathered at various strain rates and temperatures. We show that the model correctly captures inelastic stress-strain responses prior to the load peak and it predicts the post-critical macro-fracture processes, which result from the growth and coalescence of micro-cracks. In our approach, the fracture zone is embedded into elastic matrix and effectively weakens the material's strength along the plane of the dominant fracture.
Wind Technology Modeling Within the System Advisor Model (SAM) (Poster)
Blair, N.; Dobos, A.; Ferguson, T.; Freeman, J.; Gilman, P.; Whitmore, J.
2014-05-01T23:59:59.000Z
This poster provides detail for implementation and the underlying methodology for modeling wind power generation performance in the National Renewable Energy Laboratory's (NREL's) System Advisor Model (SAM). SAM's wind power model allows users to assess projects involving one or more large or small wind turbines with any of the detailed options for residential, commercial, or utility financing. The model requires information about the wind resource, wind turbine specifications, wind farm layout (if applicable), and costs, and provides analysis to compare the absolute or relative impact of these inputs. SAM is a system performance and economic model designed to facilitate analysis and decision-making for project developers, financers, policymakers, and energy researchers. The user pairs a generation technology with a financing option (residential, commercial, or utility) to calculate the cost of energy over the multi-year project period. Specifically, SAM calculates the value of projects which buy and sell power at retail rates for residential and commercial systems, and also for larger-scale projects which operate through a power purchase agreement (PPA) with a utility. The financial model captures complex financing and rate structures, taxes, and incentives.
Ribot, Magali
Hyperbolic chemotaxis Hyperbolic chemotaxis on networks Models for biofilms Models for algae Some issues in the modeling of movement of cells : chemotaxis, biofilms, algae, etc... Magali Ribot;Hyperbolic chemotaxis Hyperbolic chemotaxis on networks Models for biofilms Models for algae Hyperbolic
Monday 16 June 09:30 Macroeconomics. 14:30 Advanced Econometrics 1 (2 hours).
Oxford, University of
Monday 16 June 09:30 Macroeconomics. 14:30 Advanced Econometrics 1 (2 hours). Tuesday 17 June 09 2 (2 hours). 14:30 Advanced Econometrics 2 (2 hours). Friday 20 June 09:30 Advanced Microeconomics 1
Lee, S; Richard Dimenna, R; David Tamburello, D
2008-11-13T23:59:59.000Z
The process of recovering the waste in storage tanks at the Savannah River Site (SRS) typically requires mixing the contents of the tank with one to four dual-nozzle jet mixers located within the tank. The typical criteria to establish a mixed condition in a tank are based on the number of pumps in operation and the time duration of operation. To ensure that a mixed condition is achieved, operating times are set conservatively long. This approach results in high operational costs because of the long mixing times and high maintenance and repair costs for the same reason. A significant reduction in both of these costs might be realized by reducing the required mixing time based on calculating a reliable indicator of mixing with a suitably validated computer code. The work described in this report establishes the basis for further development of the theory leading to the identified mixing indicators, the benchmark analyses demonstrating their consistency with widely accepted correlations, and the application of those indicators to SRS waste tanks to provide a better, physically based estimate of the required mixing time. Waste storage tanks at SRS contain settled sludge which varies in height from zero to 10 ft. The sludge has been characterized and modeled as micron-sized solids, typically 1 to 5 microns, at weight fractions as high as 20 to 30 wt%, specific gravities to 1.4, and viscosities up to 64 cp during motion. The sludge is suspended and mixed through the use of submersible slurry jet pumps. To suspend settled sludge, water is added to the tank as a slurry medium and stirred with the jet pump. Although there is considerable technical literature on mixing and solid suspension in agitated tanks, very little literature has been published on jet mixing in a large-scale tank. If shorter mixing times can be shown to support Defense Waste Processing Facility (DWPF) or other feed requirements, longer pump lifetimes can be achieved with associated operational cost and schedule savings. The focus of the present work is to establish mixing criteria associated with the waste processing at SRS and to quantify the mixing time required to suspend sludge particles with the submersible jet pump. Literature results for a turbulent jet flow are reviewed briefly, since the decay of the axial jet velocity and the evolution of the jet flow patterns are important phenomena affecting sludge suspension and mixing operations. One of the main objectives in the waste processing is to provide the DWPF a uniform slurry composition at a certain weight percentage (typically {approx}13 wt%) over an extended period of time. In preparation of the sludge for slurrying to DWPF, several important questions have been raised with regard to sludge suspension and mixing of the solid suspension in the bulk of the tank: (1) How much time is required to prepare a slurry with a uniform solid composition for DWPF? (2) How long will it take to suspend and mix the sludge for uniform composition in any particular waste tank? (3) What are good mixing indicators to answer the questions concerning sludge mixing stated above in a general fashion applicable to any waste tank/slurry pump geometry and fluid/sludge combination? Grenville and Tilton (1996) investigated the mixing process by giving a pulse of tracer (electrolyte) through the submersible jet nozzle and by monitoring the conductivity at three locations within the cylindrical tank. They proposed that the mixing process was controlled by the turbulent kinetic energy dissipation rate in the region far away from the jet entrance. They took the energy dissipation rates in the regions remote from the nozzle to be proportional to jet velocity and jet diameter at that location. The reduction in the jet velocity was taken to be proportional to the nozzle velocity and distance from the nozzle. Based on their analysis, a correlation was proposed. The proposed correlation was shown to be valid over a wide range of Reynolds numbers (50,000 to 300,000) with a relative standard deviation of {+-} 11.83%. An improved correlat
Modeling & Optimization An ABB Speciality
generation; transmission systems and substations; network management Low-voltage products; contactors, soft, 2009 | Slide 11 #12;Steps to Achieve Advanced Control / Optimization Build process model: First principle (White Box) Black box Grey box Design controller / optimizer / product Engineer / implement
Crystal-Like geometric modeling
Landreneau, Eric Benjamin
2006-08-16T23:59:59.000Z
faces, symmetry, and fractal geometry. The techniques have also been implemented in software, as a proof of concept. They are used in an interactive geometric modeling system, in which users can use these techniques to create crystal-like shapes...
Modeling and Control Interactive Networks
Amin, S. Massoud
Modeling and Control of Complex Interactive Networks By Massoud Amin E nergy, telecommunications complex networks, geographi- cally dispersed, nonlinear, and interacting both among themselves, distributed, highly interactive networks, nor does any such entity have the ability to evaluate, monitor
Atomistc Models of LMRNMC Materials
Broader source: Energy.gov (indexed) [DOE]
Atomistic models of LMRNMC Materials Project ID ES: 193 Hakim Iddir Voltage Fade Team Annual Merit Review Washington DC, June 16-20, 2014 This presentation does not contain any...
Computer aided nuclear reactor modeling
Warraich, Khalid Sarwar
1995-01-01T23:59:59.000Z
CENTAR model), and by interacting with the user and providing feedback by checking for errors and advising corrections. The architecture of Alpha is presented with its constituent libraries explained in their internal working and external interactions...
Graphical Models Michael I. Jordan
Jordan, Michael I.
Graphical Models Michael I. Jordan Computer Science Division and Department of Statistics; errorcontrol coding. 1. Introduction The fields of Statistics and Computer Science have generally statistics. However, by providing general machinery for manipulating joint probability distribu tions
Modeling the Clustering of Objects
E. Salvador-Sole
1995-12-07T23:59:59.000Z
I review the main steps made so far towards the construction of a (semi) analytical model for describing the growth history of bound virialized objects or haloes in the gravitational instability scenario. I mainly focus on those models relying on the spherical collapse approximation which have led to the most complete description. I insist on the different assumptions of each model and outline their main advantages and shortcomings. The work is divided in two parts: a first one dealing with the theoretical mass function of objects, and a second one dealing with the typical growth times and rates. Particular attention is paid to a new model making the practical distinction between accretion and merger events.
Assistant Professor Agricultural Systems Modeler
Veiga, Pedro Manuel Barbosa
Assistant Professor Agricultural Systems Modeler Department of Plant and Soil Sciences Division of Agricultural Sciences and Natural Resources Oklahoma State University Stillwater, Oklahoma POSITION DESCRIPTION The Department of Plant and Soil Sciences, Oklahoma State University is seeking applicants
The Schwarzschild Static Cosmological Model
P. H. Pereyra
2009-04-16T23:59:59.000Z
The present work describes an immersion in 5D of the interior Schwarzschild solution of the general relativity equations. The model theory is defined in the context of a flat 5D space time matter Minkowski model, using a Tolman like technique, which shows via Lorentz transformations that the solution is compatible with homogeneity and isotropy,thus obeying the cosmological principle. These properties permit one to consider the solution in terms of a cosmological model. In this model, the Universe may be treated as an idealized star with constant density and variable pressure, where each observer can be the center of the same. The observed redshift appears as a static gravitational effect which obeys the sufficiently verified and generally accepted square distance law. The Buchdahl stability theorem establishes a limit of distance observation with density dependence.
Sandia National Laboratories: Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
to address the most challenging and demanding climate-change issues. Accelerated Climate Modeling for Energy (ACME) is designed to accel-erate the development and applica-tion of...
A supersymmetric model for graphene
Everton M. C. Abreu; Marco A. De Andrade; Leonardo P. G. de Assis; Jose A. Helayel-Neto; A. L. M. A. Nogueira; Ricardo C. Paschoal
2014-07-21T23:59:59.000Z
In this work, we focus on the fermionic structure of the low-energy excitations of graphene (a monolayer of carbon atoms) to propose a new supersymmetric field-theoretic model for this physical system. In the current literature, other proposals for describing graphene physics have been contemplated at the level of supersymmetric quantum mechanics. Also, by observing the inhomogeneities between neighbor carbon atoms, Jackiw {\\it et al.} have set up an interesting chiral Abelian gauge theory. We show in this paper that our formulation encompasses models discussed previously as sectors of an actually richer (supersymmetric) planar gauge model. Possible interpretations for the fields involved in the present graphene model are proposed and the question of supersymmetry breaking is discussed.
Software Modeling and Verification Professors
ÃbrahÃ¡m, Erika
Software Modeling and Verification Staff Â· Professors Prof. Dr. Ir. Joost-Pieter Katoen Prof. em) Mark Timmer (Uni Twente, NL) Dr. Olga Tveretina (Karlsruhe University, D) Ralf Wimmer (UniversitÃ¤t
Constitutive modeling of active polymers
Therkelsen, Scott V. (Scott Vincent), 1980-
2005-01-01T23:59:59.000Z
This thesis develops a three-dimensional constitutive model of active polymeric materials, including changes in material volume and properties due to actuation. Active polymers reversibly change shape, volume and/or material ...
Model Wind Energy Facility Ordinance
Broader source: Energy.gov [DOE]
Note: This model ordinance was designed to provide guidance to local governments that wish to develop their own siting rules for wind turbines. While it was developed as part of a cooperative...
toolkit computational mesh conceptual model.
Baur, David G.; Edwards, Harold Carter; Cochran, William K.; Williams, Alan B.; Sjaardema, Gregory D.
2010-03-01T23:59:59.000Z
The Sierra Toolkit computational mesh is a software library intended to support massively parallel multi-physics computations on dynamically changing unstructured meshes. This domain of intended use is inherently complex due to distributed memory parallelism, parallel scalability, heterogeneity of physics, heterogeneous discretization of an unstructured mesh, and runtime adaptation of the mesh. Management of this inherent complexity begins with a conceptual analysis and modeling of this domain of intended use; i.e., development of a domain model. The Sierra Toolkit computational mesh software library is designed and implemented based upon this domain model. Software developers using, maintaining, or extending the Sierra Toolkit computational mesh library must be familiar with the concepts/domain model presented in this report.
Statistical Performance Modeling of SRAMs
Zhao, Chang
2011-02-22T23:59:59.000Z
to their characteristic of low failure rate, while statistical method of yield sensitivity analysis is meaningful for its high efficiency. This thesis proposes a novel statistical model to conduct yield sensitivity prediction on SRAM cells at the simulation level, which...
Multiscale modeling in granular flow
Rycroft, Christopher Harley
2007-01-01T23:59:59.000Z
Granular materials are common in everyday experience, but have long-resisted a complete theoretical description. Here, we consider the regime of slow, dense granular flow, for which there is no general model, representing ...
2014 PV Performance Modeling Workshop
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
2014 PV Performance Modeling Workshop Photo courtesy of Sempra Energy 8:00 AM to 9:00 PM Monday, May 5, 2014 At Biltmore Hotel, Santa Clara, California 512014 Agenda: Start Time...
EMMA: Electromechanical Modeling in ALEGRA
NONE
1996-12-31T23:59:59.000Z
To ensure high levels of deterrent capability in the 21st century, new stockpile stewardship principles are being embraced at Sandia National Laboratories. The Department of Energy Accelerated Strategic Computing Initiative (ASCI) program is providing the computational capacity and capability as well as funding the system and simulation software infrastructure necessary to provide accurate, precise and predictive modeling of important components and devices. An important class of components require modeling of piezoelectric and ferroceramic materials. The capability to run highly resolved simulations of these types of components on the ASCI parallel computers is being developed at Sandia in the ElectroMechanical Modeling in Alegra (EMMA) code. This a simulation capability being developed at Sandia National Laboratories for high-fidelity modeling of electromechanical devices. these devices can produce electrical current arising from material changes due to shock impact or explosive detonation.
Kammen, Daniel M.
, Berkeley. SWITCH Model Description 1. Study Years, Months, Dates and Hours To simulate power system1 SWITCH Model AND Data Description: 2050 Timeframe................................................ 2 SWITCH Model Description
Modelling of friction stir welding
Colegrove, Paul Andrew
is influenced by the fractUling of the tungsten wire. Finally, Nowak et al. 85 examined the flow during the FSW of polycarbonate and found similar flow fields to those observed in aluminium. Because of polycarbonate's different properties it was necessary... is conducted into the tool and welded material, and is then convected from the top surface or conducted into the backing plate. Both analytical and numerical models have been used to describe this heat flow. The following section describes thermal modelling...
The Collapsar and Supranova Models
Charles D. Dermer
2004-04-30T23:59:59.000Z
This rapporteur review summarizes results presented in Parallel Session GBT2 (Gamma Ray Burst Theory 2) on the Collapsar and Supranova Models held 25 July 2003 at the 10th Marcel Grossmann Meeting on General Relativity, Rio de Janeiro, Brazil. A central issue in GRB studies is the process whereby energy is released from the GRB engine. One scenario is the collapsar model, where the evolved stellar core promptly collapses to a black hole surrounded by a massive, intermittently-accreting torus of nuclear density material. A second scenario is the supranova model, where the first step of a two-step collapse process leaves behind a rapidly rotating neutron star stabilized by rotation, which later collapses to a black hole while making the GRB. In the supranova model, a powerful pulsar wind lasting days to weeks after the supernova makes distinctive signatures from the heating of the supernova remnant (SNR) shell, which should be discovered with Swift. This model also predicts nonstandard reddened excesses from the cooling SNR due to the range of delays between the two collapse events, contrary to observations of SN emissions from low redshift GRBs which favor the collapsar model. The observational basis for both models is critically reviewed. An outline of a GRB model is proposed where the second collapse takes place within minutes to hours after the primary SN event, during which time loss of centrifugal support along the rotation axis of the neutron star provides a relatively baryon-clean polar environment along which a newly formed, rapidly spinning black hole drives collimated baryon-dilute outflows.
4, 43254360, 2007 Comparing model
Paris-Sud XI, Université de
HESSD 4, 43254360, 2007 Comparing model performance in the Rhine basin A. H. te Linde et al. Title different atmospheric forcing data sets A. H. te Linde 1 , J. C. J. H. Aerts 1 , R. T. W. L. Hurkmans 2 Correspondence to: A. H. te Linde (aline.te.linde@ivm.vu.nl) 4325 #12;HESSD 4, 43254360, 2007 Comparing model
Spacetime model with superluminal phenomena
T. Matolcsi; W. A. Rodrigues Jr
1996-06-12T23:59:59.000Z
recent theoretical results show the existence of arbitrary speeds ($0\\leq v <\\infty$) solutions of the wave equations of mathematical physics. Some recent experiments confirm the results for sound waves. The question arises naturally: What is the appropriate spacetime model to describe superluminal phenomena? In this paper we present a spacetime model that incorporates the valid results of Relativity Theory and yet describes coherently superluminal phenomena without paradoxes.
COMPASS Model Review Draft February 29, 2008
Washington at Seattle, University of
COMPASS Model Review Draft February 29, 2008 Page i Comprehensive Passage (COMPASS) Model version 1.1 Review DRAFT February 2008 #12;COMPASS Model Review Draft February 29, 2008 Page ii Table-Bonneville survival 8c. Prospective hydrological modeling Appendix 9. Sensitivity analyses #12;COMPASS Model Review
Applications to Computer Closed Network Model
Shihada, Basem
Â· Suitable for modeling "virtual circuit" (VC) ith i d fl t lwith window flow control Â· Data sources/sinks are modeled explicitly 2 #12;Model of a VC with Window Flow Control 3 Model of a VC with Window Flow Control packets are individually acknowledged 4 #12;Model of a VC with Window Flow Control Â· A customer entering
CARD No. 23 Models and Computer Codes
CARD No. 23 Models and Computer Codes 23.A BACKGROUND Section 194.23 addresses the compliance criteria requirements for conceptual models and computer codes. Conceptual models capture a general (PA). The design of computer codes begins with the development of conceptual models. Conceptual models
Reduced models of algae growth Heikki Haario,
Bardsley, John
Reduced models of algae growth Heikki Haario, Leonid Kalachev Marko Laine, Lappeenranta University of the phenomena studied. Here, in the case of algae growth modelling, we show how a systematic model reduction may: Algae growth modelling, asymptotic methods, model reduction, MCMC, Adaptive Markov chain Monte Carlo. 1
Essays on the stock market's reaction to macroeconomic news
Cenesizoglu, Tolga
2006-01-01T23:59:59.000Z
topapadakis (2002) use a GARCH model of daily equity returnsGDP announcements using a simple GARCH framework for dailybe able to account for GARCH-type behavior of condi- tional
Multiscale Modeling of Hematologic Disorders
Fedosov, Dmitry A.; Pivkin, Igor; Pan, Wenxiao; Dao, Ming; Caswell, Bruce; Karniadakis, George E.
2012-01-28T23:59:59.000Z
Parasitic infectious diseases and other hereditary hematologic disorders are often associated with major changes in the shape and viscoelastic properties of red blood cells (RBCs). Such changes can disrupt blood flow and even brain perfusion, as in the case of cerebral malaria. Modeling of these hematologic disorders requires a seamless multiscale approach, where blood cells and blood flow in the entire arterial tree are represented accurately using physiologically consistent parameters. In this chapter, we present a computational methodology based on dissipative particle dynamics (DPD) which models RBCs as well as whole blood in health and disease. DPD is a Lagrangian method that can be derived from systematic coarse-graining of molecular dynamics but can scale efficiently up to small arteries and can also be used to model RBCs down to spectrin level. To this end, we present two complementary mathematical models for RBCs and describe a systematic procedure on extracting the relevant input parameters from optical tweezers and microfluidic experiments for single RBCs. We then use these validated RBC models to predict the behavior of whole healthy blood and compare with experimental results. The same procedure is applied to modeling malaria, and results for infected single RBCs and whole blood are presented.
G. Manfredi
2005-05-01T23:59:59.000Z
Traditional plasma physics has mainly focused on regimes characterized by high temperatures and low densities, for which quantum-mechanical effects have virtually no impact. However, recent technological advances (particularly on miniaturized semiconductor devices and nanoscale objects) have made it possible to envisage practical applications of plasma physics where the quantum nature of the particles plays a crucial role. Here, I shall review different approaches to the modeling of quantum effects in electrostatic collisionless plasmas. The full kinetic model is provided by the Wigner equation, which is the quantum analog of the Vlasov equation. The Wigner formalism is particularly attractive, as it recasts quantum mechanics in the familiar classical phase space, although this comes at the cost of dealing with negative distribution functions. Equivalently, the Wigner model can be expressed in terms of $N$ one-particle Schr{\\"o}dinger equations, coupled by Poisson's equation: this is the Hartree formalism, which is related to the `multi-stream' approach of classical plasma physics. In order to reduce the complexity of the above approaches, it is possible to develop a quantum fluid model by taking velocity-space moments of the Wigner equation. Finally, certain regimes at large excitation energies can be described by semiclassical kinetic models (Vlasov-Poisson), provided that the initial ground-state equilibrium is treated quantum-mechanically. The above models are validated and compared both in the linear and nonlinear regimes.
Lee, S.
2011-05-17T23:59:59.000Z
The process of recovering the waste in storage tanks at the Savannah River Site (SRS) typically requires mixing the contents of the tank to ensure uniformity of the discharge stream. Mixing is accomplished with one to four dual-nozzle slurry pumps located within the tank liquid. For the work, a Tank 48 simulation model with a maximum of four slurry pumps in operation has been developed to estimate flow patterns for efficient solid mixing. The modeling calculations were performed by using two modeling approaches. One approach is a single-phase Computational Fluid Dynamics (CFD) model to evaluate the flow patterns and qualitative mixing behaviors for a range of different modeling conditions since the model was previously benchmarked against the test results. The other is a two-phase CFD model to estimate solid concentrations in a quantitative way by solving the Eulerian governing equations for the continuous fluid and discrete solid phases over the entire fluid domain of Tank 48. The two-phase results should be considered as the preliminary scoping calculations since the model was not validated against the test results yet. A series of sensitivity calculations for different numbers of pumps and operating conditions has been performed to provide operational guidance for solids suspension and mixing in the tank. In the analysis, the pump was assumed to be stationary. Major solid obstructions including the pump housing, the pump columns, and the 82 inch central support column were included. The steady state and three-dimensional analyses with a two-equation turbulence model were performed with FLUENT{trademark} for the single-phase approach and CFX for the two-phase approach. Recommended operational guidance was developed assuming that local fluid velocity can be used as a measure of sludge suspension and spatial mixing under single-phase tank model. For quantitative analysis, a two-phase fluid-solid model was developed for the same modeling conditions as the single-phase model. The modeling results show that the flow patterns driven by four pump operation satisfy the solid suspension requirement, and the average solid concentration at the plane of the transfer pump inlet is about 12% higher than the tank average concentrations for the 70 inch tank level and about the same as the tank average value for the 29 inch liquid level. When one of the four pumps is not operated, the flow patterns are satisfied with the minimum suspension velocity criterion. However, the solid concentration near the tank bottom is increased by about 30%, although the average solid concentrations near the transfer pump inlet have about the same value as the four-pump baseline results. The flow pattern results show that although the two-pump case satisfies the minimum velocity requirement to suspend the sludge particles, it provides the marginal mixing results for the heavier or larger insoluble materials such as MST and KTPB particles. The results demonstrated that when more than one jet are aiming at the same position of the mixing tank domain, inefficient flow patterns are provided due to the highly localized momentum dissipation, resulting in inactive suspension zone. Thus, after completion of the indexed solids suspension, pump rotations are recommended to avoid producing the nonuniform flow patterns. It is noted that when tank liquid level is reduced from the highest level of 70 inches to the minimum level of 29 inches for a given number of operating pumps, the solid mixing efficiency becomes better since the ratio of the pump power to the mixing volume becomes larger. These results are consistent with the literature results.
Modeling Water, Climate, Agriculture, and the Economy
Yu, Winston
Describes two models used in the integrated modeling framework designed to study water, climate, agriculture and the economy in Pakistan's Indus Basin: (1) the Indus Basin Model Revised (IBMR-1012), a hydro-economic ...
Computer Modeling Illuminates Degradation Pathways of
Computer Modeling Illuminates Degradation Pathways of Cations in Alkaline Membrane Fuel Cells Cation degradation insights obtained by computational modeling could result in better performance are effective in increasing cation stability. With the help of computational modeling, more cations are being
HYBRID MODELING OF COMMUNICATION NETWORKS USING MODELICA
Johansson, Karl Henrik
HYBRID MODELING OF COMMUNICATION NETWORKS USING MODELICA Daniel F¨arnqvist Katrin Strandemar and simulation of communication networks using the modeling language Modelica are discussed. Congestion control model, that Modelica provides an efficient platform for the analysis of communication networks
Medion:The "Orchestrator" Business Model
Ordanini, Andrea; Dedrick, Jason; Kraemer, Kenneth L
2006-01-01T23:59:59.000Z
a strongly atypical business model in the PC value chain. Itwas able to execute this business model with flexibility,is to analyze Medion’s business model in detail, in order to
STRUCTURED TEXT RETRIEVAL MODELS Djoerd Hiemstra
Hiemstra, Djoerd
and manipulating content and hierarchical structure such as the parsed strings model [10], PAT expressions [15STRUCTURED TEXT RETRIEVAL MODELS Djoerd Hiemstra University of Twente http DEFINITION Structured text retrieval models provide a formal definition or mathematical framework
06241 Abstracts Collection Human Motion -Understanding, Modeling,
06241 Abstracts Collection Human Motion - Understanding, Modeling, Capture and Animation. 13th Summary Human Motion - Understanding, Modeling, Capture and Animation. 13th Workshop Reinhard Klette 06241 Human Motion - Understanding, Modeling, Capture and Animation. 13th Workshop "Theoretical
COLLEGE OF SCIENCE Computational Modeling & Data Analytics
Crawford, T. Daniel
COLLEGE OF SCIENCE Computational Modeling & Data Analytics COLLEGE OF SCIENCE Computational Modeling & Data Analytics The Bachelor of Science in Computational Modeling and Data Analytics (CMDA mathematics. It imparts the unique blend of skills from Statistics, Mathematics, and Computer Science needed
A Model Graphene Diffraction Pattern Frank Rioux
Rioux, Frank
A Model Graphene Diffraction Pattern Frank Rioux The purpose of this tutorial is to model graphene d Pj k px j py k 2 i 1 A Graphene Model Diffraction Pattern #12;
Modeling of Residential Attics with Radiant Barriers
Wilkes, K. E.
1988-01-01T23:59:59.000Z
This paper gives a summary of the efforts at ORNL in modeling residential attics with radiant barriers. Analytical models based on a system of macroscopic heat balances have been developed. Separate models have been developed for horizontal radiant...
Developing fast and efficient climate models
Williamson, Mark
, based on the global model of Tim Lenton. The resulting package comprises an Earth System Model was closely integrated with the GENIE (Grid ENabled Integrated Earth system model) project, funded by the NERC
Modeling Texture Evolution during Recrystallization in Aluminum
Rollett, Anthony D.
Modeling Texture Evolution during Recrystallization in Aluminum Abhijit Brahme1,2 , Joseph Fridy3, Aluminum, Grain Boundary Mobility, Nucleation, Oriented Growth, Oriented Nucleation, Stored Energy, Monte Carlo Modeling. #12;Modeling Texture Evolution during Recrystallization in Aluminum 2 1. Introduction
Modeling of pulsating heat pipes.
Givler, Richard C.; Martinez, Mario J.
2009-08-01T23:59:59.000Z
This report summarizes the results of a computer model that describes the behavior of pulsating heat pipes (PHP). The purpose of the project was to develop a highly efficient (as compared to the heat transfer capability of solid copper) thermal groundplane (TGP) using silicon carbide (SiC) as the substrate material and water as the working fluid. The objective of this project is to develop a multi-physics model for this complex phenomenon to assist with an understanding of how PHPs operate and to be able to understand how various parameters (geometry, fill ratio, materials, working fluid, etc.) affect its performance. The physical processes describing a PHP are highly coupled. Understanding its operation is further complicated by the non-equilibrium nature of the interplay between evaporation/condensation, bubble growth and collapse or coalescence, and the coupled response of the multiphase fluid dynamics among the different channels. A comprehensive theory of operation and design tools for PHPs is still an unrealized task. In the following we first analyze, in some detail, a simple model that has been proposed to describe PHP behavior. Although it includes fundamental features of a PHP, it also makes some assumptions to keep the model tractable. In an effort to improve on current modeling practice, we constructed a model for a PHP using some unique features available in FLOW-3D, version 9.2-3 (Flow Science, 2007). We believe that this flow modeling software retains more of the salient features of a PHP and thus, provides a closer representation of its behavior.
Interacting Multiple Model Kalman Filters (IMMKF) Interacting Multiple Model Kalman Filters
Williams, Brian C.
Interacting Multiple Model Kalman Filters (IMMKF) Interacting Multiple Model Kalman Filters (IMMKF R.Q.A. Santana Interacting Multiple Model Kalman Filters (IMMKF) #12;Interacting Multiple Model Kalman Filters (IMMKF) Sumário 1 Introdução Abordagens de múltiplos modelos Introdução ao Interacting
Automated inter-model parameter connection synthesis for simulation model integration
Ligon, Thomas (Thomas Crumrine)
2007-01-01T23:59:59.000Z
New simulation modeling environments have been developed such that multiple models can be integrated into a single model. This conglomeration of model data allows designers to better understand the physical phenomenon being ...
Comparison of Chiller Models for Use in Model-Based Fault Detection
Sreedhara, P.; Haves, P.
2001-01-01T23:59:59.000Z
, and computational requirements. The objective of this study was to evaluate different modeling approaches for their applicability to model based FDD of vapor compression chillers. Three different models were studied: the Gordon and Ng Universal Chiller model (2nd...
Analysing the Effects of Incentives and Model Attributes on CAD Model Creation and Alteration
Diwakaran, Ram Prasad
2012-02-14T23:59:59.000Z
on proper modeling procedures. Experts are quicker and adhere to commonly agreed correct modeling procedures during CAD model creation and alteration than students. The results also indicate that it is beneficial for alteration to construct a model...
Generalized models and benchmarks for channel coordination
Toptal, Aysegul
2004-09-30T23:59:59.000Z
. . . . . . . . . . . . . . . . . . . . . . . . . . . 39 III INTEGRATED PURE INVENTORY PROBLEM WITH DE- TERMINISTIC AND CONSTANT DEMAND . . . . . . . . . . 41 III.1. Notation and Problem Formulation . . . . . . . . . . . . 42 III.2. Model I: A Model with Explicit Inbound Costs . . . . . . 45 III.3. Model... WITH DETERMINISTIC AND CONSTANT DEMAND . . . . . . . . . . . . . . . . . . . 76 IV.1. A Comparative Analysis of Centralized and Decentral- ized Models in Goyal (1976) . . . . . . . . . . . . . . . . 78 IV.2. Decentralized Solutions for Model I and Model II...
Model Development Development of a system emulating the global carbon cycle in Earth system models
K. Tachiiri; J. C. Hargreaves; J. D. Annan; A. Oka; A. Abe-ouchi; M. Kawamiya
2010-01-01T23:59:59.000Z
developed a loosely coupled model (LCM) which can represent the outputs of a GCMbased Earth system model
Parallel execution model for Prolog
Fagin, B.S.
1987-01-01T23:59:59.000Z
One candidate language for parallel symbolic computing is Prolog. Numerous ways for executing Prolog in parallel have been proposed, but current efforts suffer from several deficiencies. Many cannot support fundamental types of concurrency in Prolog. Other models are of purely theoretical interest, ignoring implementation costs. Detailed simulation studies of execution models are scare; at present little is known about the costs and benefits of executing Prolog in parallel. In this thesis, a new parallel execution model for Prolog is presented: the PPP model or Parallel Prolog Processor. The PPP supports AND-parallelism, OR-parallelism, and intelligent backtracking. An implementation of the PPP is described, through the extension of an existing Prolog abstract machine architecture. Several examples of PPP execution are presented, and compilation to the PPP abstract instruction set is discussed. The performance effects of this model are reported, based on a simulation of a large benchmark set. The implications of these results for parallel Prolog systems are discussed, and directions for future work are indicated.
The Collapsar and Supranova Models
Dermer, C D
2004-01-01T23:59:59.000Z
This rapporteur review summarizes results presented in Parallel Session GBT2 (Gamma Ray Burst Theory 2) on the Collapsar and Supranova Models held 25 July 2003 at the 10th Marcel Grossmann Meeting on General Relativity, Rio de Janeiro, Brazil. A central issue in GRB studies is the process whereby energy is released from the GRB engine. One scenario is the collapsar model, where the evolved stellar core promptly collapses to a black hole surrounded by a massive, intermittently-accreting torus of nuclear density material. A second scenario is the supranova model, where the first step of a two-step collapse process leaves behind a rapidly rotating neutron star stabilized by rotation, which later collapses to a black hole while making the GRB. In the supranova model, a powerful pulsar wind lasting days to weeks after the supernova makes distinctive signatures from the heating of the supernova remnant (SNR) shell, which should be discovered with Swift. This model also predicts nonstandard reddened excesses from th...
String bit models for superstring
Bergman, O.; Thorn, C.B.
1995-12-31T23:59:59.000Z
The authors extend the model of string as a polymer of string bits to the case of superstring. They mainly concentrate on type II-B superstring, with some discussion of the obstacles presented by not II-B superstring, together with possible strategies for surmounting them. As with previous work on bosonic string work within the light-cone gauge. The bit model possesses a good deal less symmetry than the continuous string theory. For one thing, the bit model is formulated as a Galilei invariant theory in (D {minus} 2) + 1 dimensional space-time. This means that Poincare invariance is reduced to the Galilei subgroup in D {minus} 2 space dimensions. Naturally the supersymmetry present in the bit model is likewise dramatically reduced. Continuous string can arise in the bit models with the formation of infinitely long polymers of string bits. Under the right circumstances (at the critical dimension) these polymers can behave as string moving in D dimensional space-time enjoying the full N = 2 Poincare supersymmetric dynamics of type II-B superstring.
Reduced models for quantum gravity
T. Thiemann
1999-10-04T23:59:59.000Z
The preceding talks given at this conference have dealt mainly with general ideas for, main problems of and techniques for the task of quantizing gravity canonically. Since one of the major motivations to arrange for this meeting was that it should serve as a beginner's introduction to canonical quantum gravity, we regard it as important to demonstrate the usefulness of the formalism by means of applying it to simplified models of quantum gravity, here formulated in terms of Ashtekar's new variables. From the various, completely solvable, models that have been discussed in the literature we choose those that we consider as most suitable for our pedagogical reasons, namely 2+1 gravity and the spherically symmetric model. The former model arises from a dimensional, the latter from a Killing reduction of full 3+1 gravity. While 2+1 gravity is usually treated in terms of closed topologies without boundary of the initial data hypersurface, the toplogy for the spherically symmetric system is chosen to be asymptotically flat. Finally, 2+1 gravity is more suitably quantized using the loop representation while spherically symmetric gravity is easier to quantize via the self-dual representation. Accordingly, both types of reductions, both types of topologies and both types of representations that are mainly employed in the literature in the context of the new variables come into practice. What makes the discussion especially clear is the fact that for both models the reduced phase space turns out to be finitely dimensional.
Modeling and Simulation for Safeguards
Swinhoe, Martyn T. [Los Alamos National Laboratory
2012-07-26T23:59:59.000Z
The purpose of this talk is to give an overview of the role of modeling and simulation in Safeguards R&D and introduce you to (some of) the tools used. Some definitions are: (1) Modeling - the representation, often mathematical, of a process, concept, or operation of a system, often implemented by a computer program; (2) Simulation - the representation of the behavior or characteristics of one system through the use of another system, especially a computer program designed for the purpose; and (3) Safeguards - the timely detection of diversion of significant quantities of nuclear material. The role of modeling and simulation are: (1) Calculate amounts of material (plant modeling); (2) Calculate signatures of nuclear material etc. (source terms); and (3) Detector performance (radiation transport and detection). Plant modeling software (e.g. FACSIM) gives the flows and amount of material stored at all parts of the process. In safeguards this allow us to calculate the expected uncertainty of the mass and evaluate the expected MUF. We can determine the measurement accuracy required to achieve a certain performance.
Separations and safeguards model integration.
Cipiti, Benjamin B.; Zinaman, Owen
2010-09-01T23:59:59.000Z
Research and development of advanced reprocessing plant designs can greatly benefit from the development of a reprocessing plant model capable of transient solvent extraction chemistry. This type of model can be used to optimize the operations of a plant as well as the designs for safeguards, security, and safety. Previous work has integrated a transient solvent extraction simulation module, based on the Solvent Extraction Process Having Interaction Solutes (SEPHIS) code developed at Oak Ridge National Laboratory, with the Separations and Safeguards Performance Model (SSPM) developed at Sandia National Laboratory, as a first step toward creating a more versatile design and evaluation tool. The goal of this work was to strengthen the integration by linking more variables between the two codes. The results from this integrated model show expected operational performance through plant transients. Additionally, ORIGEN source term files were integrated into the SSPM to provide concentrations, radioactivity, neutron emission rate, and thermal power data for various spent fuels. This data was used to generate measurement blocks that can determine the radioactivity, neutron emission rate, or thermal power of any stream or vessel in the plant model. This work examined how the code could be expanded to integrate other separation steps and benchmark the results to other data. Recommendations for future work will be presented.
Chivukula, R. Sekhar; Coleppa, Baradhwaj; Chiara, Stefano Di; Simmons, Elizabeth H.; He, Hong-Jian; Kurachi, Masafumi; Tanabashi, Masaharu [Department of Physics and Astronomy, Michigan State University East Lansing, Michigan 48824 (United States); Center for High Energy Physics, Tsinghua University Beijing 100084 (China); C.N. Yang Institute for Theoretical Physics, State University of New York Stony Brook, New York 11794 (United States); Department of Physics, Tohoku University Sendai 980-8578 (Japan)
2006-10-01T23:59:59.000Z
We analyze the spectrum and properties of a highly deconstructed Higgsless model with only three sites. Such a model contains sufficient complexity to incorporate interesting physics issues related to fermion masses and electroweak observables, yet remains simple enough that it could be encoded in a Matrix Element Generator program for use with Monte Carlo simulations. The gauge sector of this model is equivalent to that of the Breaking Electroweak Symmetry Strongly (BESS) model; the new physics of interest here lies in the fermion sector. We analyze the form of the fermion Yukawa couplings required to produce the ideal fermion delocalization that causes tree-level precision electroweak corrections to vanish. We discuss the size of one-loop corrections to b{yields}s{gamma}, the weak-isospin violating parameter {alpha}T and the decay Z{yields}bb. We find that the new fermiophobic vector states (the analogs of the gauge-boson Kaluza-Klein modes in a continuum model) can be reasonably light, with a mass as low as 380 GeV, while the extra (approximately vectorial) quark and lepton states (the analogs of the fermion Kaluza-Klein modes) must be heavier than 1.8 TeV.
FINAL PROJECT REPORT LOAD MODELING TRANSMISSION RESEARCH
Lesieutre, Bernard
2013-01-01T23:59:59.000Z
When modeling the PV systems in the electric power systems, modeling the PV systems in the electric power systems,
Pitt, Robert E.
.EXE / 1.05 FEMWATER model / documentation 1.00 Jul 93 INSTALGC.EXE / 1.16 GCSOLAR model / documentation 1
Improved computer models support genetics research
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Simple computer models unravel genetic stress reactions in cells Simple computer models unravel genetic stress reactions in cells Integrated biological and computational methods...
Mineralogic Model (MM3.0) Report
A. Sanchez
2004-09-07T23:59:59.000Z
The purpose of this report is to provide a three-dimensional (3-D) representation of the mineral abundance within the geologic framework model domain. The mineralogic model enables project personnel to estimate mineral abundances at any position, within the model region, and within any stratigraphic unit in the model area. The model provides the abundance and distribution of 10 minerals and mineral groups within 22 stratigraphic sequences or model layers in the Yucca Mountain area. The uncertainties and limitations associated with this model are discussed in Section 6.4. Model validation accomplished by corroboration with data not cited as direct input is discussed in Section 7.
Electricity Subsector Cybersecurity Capability Maturity Model...
Electricity Subsector Cybersecurity Capability Maturity Model (ES-C2M2) Electricity Subsector Cybersecurity Capability Maturity Model (ES-C2M2) Electricity Subsector Cybersecurity...
Electricity Subsector Cybersecurity Capability Maturity Model...
Office of Environmental Management (EM)
Electricity Subsector Cybersecurity Capability Maturity Model v. 1.1. (February 2014) Electricity Subsector Cybersecurity Capability Maturity Model v. 1.1. (February 2014) The...
Search for: "earth modeling" | DOE PAGES
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
earth modeling" Find + Advanced Search Advanced Search All Fields: "earth modeling" Title: Full Text: Bibliographic Data: Creator Author: Name Name ORCID Search Authors Type:...
Directory of Energy Information Administration Models 1994
Not Available
1994-07-01T23:59:59.000Z
This directory revises and updates the 1993 directory and includes 15 models of the National Energy Modeling System (NEMS). Three other new models in use by the Energy Information Administration (EIA) have also been included: the Motor Gasoline Market Model (MGMM), Distillate Market Model (DMM), and the Propane Market Model (PPMM). This directory contains descriptions about each model, including title, acronym, purpose, followed by more detailed information on characteristics, uses and requirements. Sources for additional information are identified. Included in this directory are 37 EIA models active as of February 1, 1994.
Modeling And Control Of Articulated Vehicles
Chen, Chieh; Tomizuka, Masayoshi
1997-01-01T23:59:59.000Z
Modeling, Advanced Vehicle Control Systems, Lateral control, SteeringSteering and Braking Control of Heavy Duty Vehicles. Under this project, dynamic modeling
Sustainable Business Models - Utilities and Efficiency Partnerships...
Sustainable Business Models - Utilities and Efficiency Partnerships Sustainable Business Models - Utilities and Efficiency Partnerships Provides an overview and lessons learned on...
Sandia National Laboratories: improving PV performance model...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
accuracy PV Performance Modeling Collaborative's New and Improved Website Is Launched On December 10, 2014, in Computational Modeling & Simulation, Energy, Facilities, News, News &...
Sandia National Laboratories: improving PV performance model...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
technical rigor PV Performance Modeling Collaborative's New and Improved Website Is Launched On December 10, 2014, in Computational Modeling & Simulation, Energy, Facilities, News,...
Polak, S.J.; van Welij, J.S.; Wachters, A.J.H.
1983-11-01T23:59:59.000Z
This paper presents a new EDDY current model. This model minimizes the number of unknown per point. The authors also discuss the uniqueness aspects involved.
Essays on Multivariate Modeling in Financial Econometrics
Yoldas, Emre
2008-01-01T23:59:59.000Z
24 5.1 GARCHTESTING IN MULTIVARIETE GARCH MODELS . . . . . . . . . . .t and J-Statistics for GARCH (1,1) Model of NYSE Returns
FINAL PROJECT REPORT LOAD MODELING TRANSMISSION RESEARCH
Lesieutre, Bernard
2013-01-01T23:59:59.000Z
Air Conditioner Testing in WECC,” IEEE Power Engineering Air Conditioner Modeling, WECC Load Modeling Task Force in power system studies: WECC progress update,? Power and
Curvaton field and intermediate inflationary universe model
Sergio del Campo; Ramon Herrera
2007-10-29T23:59:59.000Z
The curvaton in an intermediate inflationary universe model is studied. This study has allowed us to find some interesting constraints on different parameters that appear in the model.
Sandia National Laboratories: Photovoltaic System Model Calibration...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Photovoltaic System Model Calibration Using Monitored System Data Sandians Win 'Best Paper' Award at Photovoltaic Conference in Japan On March 4, 2015, in Computational Modeling &...
Essays on inference and strategic modeling
Gillen, Benjamin J.
2010-01-01T23:59:59.000Z
and Q Vuong. Structural econometric analysis of descendinga class of nonregular econometric models. Econometrica, 72(for parameter sets in econometric models. Econometrica, 75(
Modeling Pulsed Laser Melting of Embedded Nanoparticles
Sawyer, Carolyn Anne
2013-01-01T23:59:59.000Z
to a ?nite di?erence heat transfer model. In the ?nite di?ature. The small-scale heat transfer model for transport out
Sandia National Laboratories: model chemical processes
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Sandia received funding for its "Mechanistic Modeling Framework for Predicting Extreme Battery Response: Coupled Hierarchical Models for Thermal, Mechanical, Electrical and...
201202 Reservoir System Modeling Technologies Conference
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Algorithm to Incorporate the Columbia River Non-Power Flow Requirements in the BC Hydro Generalized Optimization Model - University of British Columbia Hydrologic Modeling...
DOE/EEI Model Agreement Explanation
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
EEI Model Agreement Explanation Introduction The attached document serves as a model for the development of formal agreements between a Federal civilian Agency and its serving...
Colorado: Energy Modeling Products Support Energy Efficiency...
Colorado: Energy Modeling Products Support Energy Efficiency Projects Colorado: Energy Modeling Products Support Energy Efficiency Projects May 1, 2014 - 11:04am Addthis Xcel...
Gray, Jeffrey G.
Model Comparison: A Key Challenge for Transformation Testing and Version Control in Model Driven practices associated with model transformation testing and version control of models. 1. Introduction target model). #12;Â· Version Control Tools do not Match the Structural Nature of Models An essential
Model-Inspired Research. TES research uses modeling, prediction, and synthesis to identify
in Earth system models (ESMs). TES supports research to advance fundamental understanding of terrestrial-process models, ecosystem models, and the Community Earth System Model). This emphasis on the capture of advanced in Earth system models to increase the quality of climate model projections and to provide the scientific
TopTop--Down Intelligent ReservoirDown Intelligent Reservoir Modeling (TDIRM)Modeling (TDIRM)
Mohaghegh, Shahab
Reservoir ModelingModeling · In top-down modeling we start from production data and try to deduce a pictureTopTop--Down Intelligent ReservoirDown Intelligent Reservoir Modeling (TDIRM)Modeling (TDIRM) A NEW APPROACH IN RESERVOIR MODELING BY INTEGRATING CLASSIC RESERVOIR ENGINEERING WITH ARTIFICIAL INTELLIGENCE
NONE
1995-02-17T23:59:59.000Z
The Natural Gas Transmission and Distribution Model (NGTDM) is the component of the National Energy Modeling System (NEMS) that is used to represent the domestic natural gas transmission and distribution system. NEMS was developed in the Office of integrated Analysis and Forecasting of the Energy information Administration (EIA). NEMS is the third in a series of computer-based, midterm energy modeling systems used since 1974 by the EIA and its predecessor, the Federal Energy Administration, to analyze domestic energy-economy markets and develop projections. The NGTDM is the model within the NEMS that represents the transmission, distribution, and pricing of natural gas. The model also includes representations of the end-use demand for natural gas, the production of domestic natural gas, and the availability of natural gas traded on the international market based on information received from other NEMS models. The NGTDM determines the flow of natural gas in an aggregate, domestic pipeline network, connecting domestic and foreign supply regions with 12 demand regions. The methodology employed allows the analysis of impacts of regional capacity constraints in the interstate natural gas pipeline network and the identification of pipeline capacity expansion requirements. There is an explicit representation of core and noncore markets for natural gas transmission and distribution services, and the key components of pipeline tariffs are represented in a pricing algorithm. Natural gas pricing and flow patterns are derived by obtaining a market equilibrium across the three main elements of the natural gas market: the supply element, the demand element, and the transmission and distribution network that links them. The NGTDM consists of four modules: the Annual Flow Module, the Capacity F-expansion Module, the Pipeline Tariff Module, and the Distributor Tariff Module. A model abstract is provided in Appendix A.
Model checking quantum Markov chains
Yuan Feng; Nengkun Yu; Mingsheng Ying
2013-11-14T23:59:59.000Z
Although the security of quantum cryptography is provable based on the principles of quantum mechanics, it can be compromised by the flaws in the design of quantum protocols and the noise in their physical implementations. So, it is indispensable to develop techniques of verifying and debugging quantum cryptographic systems. Model-checking has proved to be effective in the verification of classical cryptographic protocols, but an essential difficulty arises when it is applied to quantum systems: the state space of a quantum system is always a continuum even when its dimension is finite. To overcome this difficulty, we introduce a novel notion of quantum Markov chain, specially suited to model quantum cryptographic protocols, in which quantum effects are entirely encoded into super-operators labelling transitions, leaving the location information (nodes) being classical. Then we define a quantum extension of probabilistic computation tree logic (PCTL) and develop a model-checking algorithm for quantum Markov chains.
Model checking quantum Markov chains
Feng, Yuan; Ying, Mingsheng
2012-01-01T23:59:59.000Z
Although the security of quantum cryptography is provable based on the principles of quantum mechanics, it can be compromised by the flaws in the design of quantum protocols and the noise in their physical implementations. So, it is indispensable to develop techniques of verifying and debugging quantum cryptographic systems. Model-checking has proved to be effective in the verification of classical cryptographic protocols, but an essential difficulty arises when it is applied to quantum systems: the state space of a quantum system is always a continuum even when its dimension is finite. To overcome this difficulty, we introduce a novel notion of quantum Markov chain, specially suited to model quantum cryptographic protocols, in which quantum effects are entirely encoded into super-operators labelling transitions, leaving the location information (nodes) being classical. Then we define a quantum extension of probabilistic computation tree logic (PCTL) and develop a model-checking algorithm for quantum Markov c...
Models for Multiband IR Surveys
Cong Xu; Carol J. Lonsdale; David L. Shupe; JoAnn O'Linger; Frank Masci
2001-07-08T23:59:59.000Z
Empirical 'backward' galaxy evolution models for IR-bright galaxies are constrained using multiband IR surveys. A new Monte-Carlo algorithm is developed for this task. It exploits a large library of realistic Spectral Energy Distributions (SEDs) of 837 local IR galaxies (IRAS 25$\\mu m$ selected) from the UV (1000{\\AA}) to the radio (20cm), including ISO-measured 3--13$\\mu m$ unidentified broad features (UIBs). The basic assumption is that the local correlation between SEDs and Mid-Infrared (MIR) luminosities can be applied to earlier epochs of the Universe. Three populations of IR sources are considered in the evolution models. These include (1) starburst galaxies, (2) normal late-type galaxies, and (3) galaxies with AGN. A set of models so constructed are compared with data from the literature. Predictions for number counts, confusion limits, redshift distributions, and color-color diagrams are made for multiband surveys using the upcoming SIRTF satellite.
Peridynamic model for fatigue cracking.
Silling, Stewart A.; Abe Askari (Boeing)
2014-10-01T23:59:59.000Z
The peridynamic theory is an extension of traditional solid mechanics in which the field equations can be applied on discontinuities, such as growing cracks. This paper proposes a bond damage model within peridynamics to treat the nucleation and growth of cracks due to cyclic loading. Bond damage occurs according to the evolution of a variable called the %22remaining life%22 of each bond that changes over time according to the cyclic strain in the bond. It is shown that the model reproduces the main features of S-N data for typical materials and also reproduces the Paris law for fatigue crack growth. Extensions of the model account for the effects of loading spectrum, fatigue limit, and variable load ratio. A three-dimensional example illustrates the nucleation and growth of a helical fatigue crack in the torsion of an aluminum alloy rod.
Modeling Hepatitis C treatment policy.
Kuypers, Marshall A.; Lambert, Gregory Joseph; Moore, Thomas W.; Glass, Robert John,; Finley, Patrick D.; Ross, David [Clinical Public Health Group, Veterans Health Administration, Washington, D.C.; Chartier, Maggie
2013-09-01T23:59:59.000Z
Chronic infection with Hepatitis C virus (HCV) results in cirrhosis, liver cancer and death. As the nation's largest provider of care for HCV, US Veterans Health Administration (VHA) invests extensive resources in the diagnosis and treatment of the disease. This report documents modeling and analysis of HCV treatment dynamics performed for the VHA aimed at improving service delivery efficiency. System dynamics modeling of disease treatment demonstrated the benefits of early detection and the role of comorbidities in disease progress and patient mortality. Preliminary modeling showed that adherence to rigorous treatment protocols is a primary determinant of treatment success. In depth meta-analysis revealed correlations of adherence and various psycho-social factors. This initial meta-analysis indicates areas where substantial improvement in patient outcomes can potentially result from VA programs which incorporate these factors into their design.
Maxwell's fluid model of magnetism
Robert Brady; Ross Anderson
2015-02-20T23:59:59.000Z
In 1861, Maxwell derived two of his equations of electromagnetism by modelling a magnetic line of force as a `molecular vortex' in a fluid-like medium. Later, in 1980, Berry and colleagues conducted experiments on a `phase vortex', a wave geometry in a fluid which is analogous to a magnetic line of force and also exhibits behaviour corresponding to the quantisation of magnetic flux. Here we unify these approaches by writing down a solution to the equations of motion for a compressible fluid which behaves in the same way as a magnetic line of force. We then revisit Maxwell's historical inspiration, namely Faraday's 1846 model of light as disturbances in lines of force. Using our unified model, we show that such disturbances resemble photons: they are polarised, absorbed discretely, obey Maxwell's full equations of electromagnetism to first order, and quantitatively reproduce the correlation that is observed in the Bell tests.
Models of isospin violating ADM
Okada, Nobuchika [Department of Physics and Astronomy, University of Alabama, Tuscaloosa, Alabama 35487 (United States); Seto, Osamu [Department of Life Science and Technology, Hokkai-Gakuen University, Sapporo 062-8605 (Japan)
2014-06-24T23:59:59.000Z
The isospin violating dark matter (IVDM) scenario offers an interesting possibility to reconcile conflicting results among direct dark matter search experiments for a mass range around 10 GeV. We consider two simple renormalizable IVDM models with a complex scalar dark matter and a Dirac fermion dark matter, respectively, whose stability is ensured by the conservation of “dark matter number.” Although both models successfully work as the IVDM scenario with destructive interference between effective couplings to proton and neutron, the dark matter annihilation cross section is found to exceed the cosmological/astrophysical upper bounds. Then, we propose a simple scenario to reconcile the IVDM scenario with the cosmological/astrophysical bounds, namely, the IVDM being asymmetric. We also discuss collider experimental constraints on the models and an implication to Higgs boson physics.
Thermomechanical cavity-growth modeling
Glass, R.E.
1982-01-01T23:59:59.000Z
The results of recent field tests, laboratory studies, and modeling efforts in UCG have indicated that the thermal and mechanical properties of coal may be the controlling parameters in determining initial cavity shape. In examining this possibility, laboratory efforts have been directed at determining temperature and bedding plane dependent properties of coal. A thermomechanical model which uses these properties has indicated that the cavity shapes seen at both the Hanna and Hoe Creek test sites result from the temperature dependent properties of the coal such as the coefficients of thermal expansion and the elastic moduli. The model determines stress levels and uses a simple bedding plane dependent stress failure mechanism to determine cavity growth.
HYPERELASTIC MODELS FOR GRANULAR MATERIALS
Humrickhouse, Paul W; Corradini, Michael L
2009-01-29T23:59:59.000Z
A continuum framework for modeling of dust mobilization and transport, and the behavior of granular systems in general, has been reviewed, developed and evaluated for reactor design applications. The large quantities of micron-sized particles expected in the international fusion reactor design, ITER, will accumulate into piles and layers on surfaces, which are large relative to the individual particle size; thus, particle-particle, rather than particle-surface, interactions will determine the behavior of the material in bulk, and a continuum approach is necessary and justified in treating the phenomena of interest; e.g., particle resuspension and transport. The various constitutive relations that characterize these solid particle interactions in dense granular flows have been discussed previously, but prior to mobilization their behavior is not even fluid. Even in the absence of adhesive forces between particles, dust or sand piles can exist in static equilibrium under gravity and other forces, e.g., fluid shear. Their behavior is understood to be elastic, though not linear. The recent “granular elasticity” theory proposes a non-linear elastic model based on “Hertz contacts” between particles; the theory identifies the Coulomb yield condition as a requirement for thermodynamic stability, and has successfully reproduced experimental results for stress distributions in sand piles. The granular elasticity theory is developed and implemented in a stand- alone model and then implemented as part of a finite element model, ABAQUS, to determine the stress distributions in dust piles subjected to shear by a fluid flow. We identify yield with the onset of mobilization, and establish, for a given dust pile and flow geometry, the threshold pressure (force) conditions on the surface due to flow required to initiate it. While the granular elasticity theory applies strictly to cohesionless granular materials, attractive forces are clearly important in the interaction of micron-sized particles; extension of the theory to account for these effects is also considered. A set of continuum models are proposed for use in the future dust transport modeling.
Modeling of Antarctic sea ice in a general circulation model
Wu, Xingren; Budd, W.F. [Antarctic Cooperative Research Centre, Tasmania (Australia)] [Antarctic Cooperative Research Centre, Tasmania (Australia); Simmonds, I. [School of Earth Sciences, Victoria (Australia)] [School of Earth Sciences, Victoria (Australia)
1997-04-01T23:59:59.000Z
A dynamic-thermodynamic sea ice model is developed and coupled with the Melbourne University general circulation model to simulate the seasonal cycle of the Antarctic sea ice distributions The model is efficient, rapid to compute, and useful for a range of climate studies. The thermodynamic part of the sea ice model is similar to that developed by Parkinson and Washington, the dynamics contain a simplified ice rheology that resists compression. The thermodynamics is based on energy conservation at the top surface of the ice/snow, the ice/water interface, and the open water area to determine the ice formation, accretion, and ablation. A lead parameterization is introduced with an effective partitioning scheme for freezing between and under the ice floes. The dynamic calculation determines the motion of ice, which is forced with the atmospheric wind, taking account of ice resistance and rafting. The simulated sea ice distribution compares reasonably well with observations. The seasonal cycle of ice extent is well simulated in phase as well as in magnitude. Simulated sea ice thickness and concentration are also in good agreement with observations over most regions and serve to indicate the importance of advection and ocean drift in the determination of the sea ice distribution. 64 refs., 15 figs., 2 tabs.
Kevoree Modeling Framework (KMF): Efficient modeling techniques for runtime use
Paris-Sud XI, Université de
of expertise. A natural approach to create DSLs is to reuse existing modeling standards and tools. In this area-Oriented software API, generated from a metamodel, facilitating the authoring and exchange of domain-specific concepts between several tools, applications and stakeholders. This API can for example support graphical
EnergyPlus Model Appendix G -EnergyPlus Model
Home B) C_ela 55.66 51.51 ELA (in.2) 38.83 35.93 The heating, ventilation, and air conditioning (HVAC) system is modeled as a single-speed heat pump with a Seasonal Energy Efficiency Ratio (SEER) of 13 where internal gains, heat pump operation mode and zone thermostat set-points are varied. Two sets
Model Validation with Hybrid Dynamic Simulation
Huang, Zhenyu; Kosterev, Dmitry; Guttromson, Ross T.; Nguyen, Tony B.
2006-06-18T23:59:59.000Z
Abstract—Model validation has been one of the central topics in power engineering studies for years. As model validation aims at obtaining reasonable models to represent actual behavior of power system components, it has been essential to validate models against actual measurements or known benchmark behavior. System-wide model simulation results can be compared with actual recordings. However, it is difficult to construct a simulation case for a large power system such as the WECC system and to narrow down to problematic models in a large system. Hybrid dynamic simulation with its capability of injecting external signals into dynamic simulation enables rigorous comparison of measurements and simulation in a small subsystem of interest. This paper presents such a model validation methodology with hybrid dynamic simulation. Two application examples on generator and load model validation are presented to show the validity of this model validation methodology. This methodology is further extended for automatic model validation and dichotomous subsystem model validation.
Forcing in Strategic Belief Models
Tohmè, Fernando; Gangle, Rocco
2012-01-01T23:59:59.000Z
Forcing is a methodology for building models of Set Theory satisfying certain properties. Since its inception by Paul Cohen, in the early 1960s, it has been applied to several areas in Mathematical Logic, becoming a powerful tool in the analysis of axiomatic systems. In this paper we extend the applicability of forcing to game-theoretic strategic belief models. In particular, we propose a very general notion of solutions for such games by enlarging Brandenburger's $RmAR$ condition via extension through generic types.
Fermionic Models with Superconducting Circuits
U. Las Heras; L. García-Álvarez; A. Mezzacapo; E. Solano; L. Lamata
2015-03-31T23:59:59.000Z
We propose a method for the efficient quantum simulation of fermionic systems with superconducting circuits. It consists in the suitable use of Jordan-Wigner mapping, Trotter decomposition, and multiqubit gates, be with the use of a quantum bus or direct capacitive couplings. We apply our method to the paradigmatic cases of 1D and 2D Fermi-Hubbard models, involving couplings with nearest and next-nearest neighbours. Furthermore, we propose an optimal architecture for this model and discuss the benchmarking of the simulations in realistic circuit quantum electrodynamics setups.
Extreme Conditions Modeling Workshop Report
Coe, R. G.; Neary, V. S.; Lawson, M. J.; Yu, Y.; Weber, J.
2014-07-01T23:59:59.000Z
Sandia National Laboratories (SNL) and the National Renewable Energy Laboratory (NREL) hosted the Wave Energy Converter (WEC) Extreme Conditions Modeling (ECM) Workshop in Albuquerque, NM on May 13th-14th, 2014. The objective of the workshop was to review the current state of knowledge on how to model WECs in extreme conditions (e.g. hurricanes and other large storms) and to suggest how U.S. Department of Energy (DOE) and national laboratory resources could be used to improve ECM methods for the benefit of the wave energy industry.
Community Renewables: Model Program Rules
Broader source: Energy.gov [DOE]
The Interstate Renewable Energy Council (IREC) has worked closely with The Vote Solar Initiative to develop model program rules for community-scale renewables that consider many of the basic issues facing community renewables programs. IREC’s model program rules address such issues as renewable system size, interconnection, eligibility for participation, allocation of the benefits flowing from participation, net metering of system production, and other essential features of a community renewables program. The goal of this effort is to provide stakeholders with program rules they can tailor to the individual circumstances and policy preferences of their state without having to reinvent the wheel at each turn.
Chemical kinetics and combustion modeling
Miller, J.A. [Sandia National Laboratories, Livermore, CA (United States)
1993-12-01T23:59:59.000Z
The goal of this program is to gain qualitative insight into how pollutants are formed in combustion systems and to develop quantitative mathematical models to predict their formation rates. The approach is an integrated one, combining low-pressure flame experiments, chemical kinetics modeling, theory, and kinetics experiments to gain as clear a picture as possible of the process in question. These efforts are focused on problems involved with the nitrogen chemistry of combustion systems and on the formation of soot and PAH in flames.
On hereditary models of polymers
M. De Angelis
2012-03-02T23:59:59.000Z
An equivalence between an integro-differential operator M and an evolution operator Ln is determined. From this equivalence the fundamental solution of Ln is estimated in terms of the fundamental solution related to the third-order operator L1 whose behavior is now available. Moreover, properties typical of wave hierarchies can be applied to polymeric materials. As an example the case n= 2 is considered and results are applied to the Rouse model and the reptation model which describe different aspects of polymer chains.
Fermionic Models with Superconducting Circuits
U. Las Heras; L. García-Álvarez; A. Mezzacapo; E. Solano; L. Lamata
2014-11-10T23:59:59.000Z
We propose a method for the efficient quantum simulation of fermionic systems with superconducting circuits. It consists in the suitable use of Jordan-Wigner mapping, Trotter decomposition, and multiqubit gates, be with the use of a quantum bus or direct capacitive couplings. We apply our method to the paradigmatic cases of 1D and 2D Fermi-Hubbard models, involving couplings with nearest and next-nearest neighbours. Furthermore, we propose an optimal architecture for this model and discuss the benchmarking of the simulations in realistic circuit quantum electrodynamics setups.
Staffing Model | Department of Energy
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO Overview OCHCO OverviewRepositoryManagement |SolarSpecialStaffing Model Staffing Model
Uncertainty quantification and validation of combined hydrological and macroeconomic analyses.
Hernandez, Jacquelynne; Parks, Mancel Jordan; Jennings, Barbara Joan; Kaplan, Paul Garry; Brown, Theresa Jean; Conrad, Stephen Hamilton
2010-09-01T23:59:59.000Z
Changes in climate can lead to instabilities in physical and economic systems, particularly in regions with marginal resources. Global climate models indicate increasing global mean temperatures over the decades to come and uncertainty in the local to national impacts means perceived risks will drive planning decisions. Agent-based models provide one of the few ways to evaluate the potential changes in behavior in coupled social-physical systems and to quantify and compare risks. The current generation of climate impact analyses provides estimates of the economic cost of climate change for a limited set of climate scenarios that account for a small subset of the dynamics and uncertainties. To better understand the risk to national security, the next generation of risk assessment models must represent global stresses, population vulnerability to those stresses, and the uncertainty in population responses and outcomes that could have a significant impact on U.S. national security.
Freed, Alan D.; Einstein, Daniel R.; Carson, James P.; Jacob, Rick E.
2012-03-01T23:59:59.000Z
In the first year of this contractual effort a hypo-elastic constitutive model was developed and shown to have great potential in modeling the elastic response of parenchyma. This model resides at the macroscopic level of the continuum. In this, the second year of our support, an isotropic dodecahedron is employed as an alveolar model. This is a microscopic model for parenchyma. A hopeful outcome is that the linkage between these two scales of modeling will be a source of insight and inspiration that will aid us in the final year's activity: creating a viscoelastic model for parenchyma.
2005: Table of EMICs (Earth System Models of Intermediate Complexity
Martin Claussen
apparent that Earth system modelling has to rely on a hierarchy of models in which models of intermediate
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighandSWPA / SPRA /Ml'. William Hirst Hirst Enterprises,MODELof
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighandSWPA / SPRA /Ml'. William Hirst Hirst Enterprises,MODELofwarm dense
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighandSWPA / SPRA /Ml'. William Hirst Hirst Enterprises,MODELofwarm
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighandSWPA / SPRA /Ml'. William Hirst Hirst Enterprises,MODELofwarmdiffuse
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighandSWPA / SPRA /Ml'. William Hirst Hirst
2007-01-01T23:59:59.000Z
land-surface model hydrology: Is an explicit aquifer modelAL. : LAND-SURFACE MODEL HYDROLOGY Changnon, S. , et al. (land-surface model hydrology: Is an explicit aquifer model
Introduction and Motivation Forward Modeling
Farquharson, Colin G.
Introduction and Motivation Forward Modeling Structured Vs. Unstructured Grids Purpose: z xy to be Discretized: Finite-Element method: 1 2 3S3 1 4 The System of Equations Solved: Verifications and Examples 1 - Controlled-source Electromagnetics (CSEM): 1 - 1 Horizontal Electric Dipole source
OSPREY Model Development Status Update
Veronica J Rutledge
2014-04-01T23:59:59.000Z
During the processing of used nuclear fuel, volatile radionuclides will be discharged to the atmosphere if no recovery processes are in place to limit their release. The volatile radionuclides of concern are 3H, 14C, 85Kr, and 129I. Methods are being developed, via adsorption and absorption unit operations, to capture these radionuclides. It is necessary to model these unit operations to aid in the evaluation of technologies and in the future development of an advanced used nuclear fuel processing plant. A collaboration between Fuel Cycle Research and Development Offgas Sigma Team member INL and a NEUP grant including ORNL, Syracuse University, and Georgia Institute of Technology has been formed to develop off gas models and support off gas research. Georgia Institute of Technology is developing fundamental level model to describe the equilibrium and kinetics of the adsorption process, which are to be integrated with OSPREY. This report discusses the progress made on expanding OSPREY to be multiple component and the integration of macroscale and microscale level models. Also included in this report is a brief OSPREY user guide.
Generalised Bayesian matrix factorisation models
Mohamed, Shakir
2011-03-15T23:59:59.000Z
in this setting uses a zero-inflated Poisson distribution (Lambert, 1992) to account for the higher The Ubiquitous Latent Variable 3 Latent Variable Models Data Types [chp 2,3] Latent Structure [chp 3, 4] Data Modes [chp 5] Figure 1.1: Diagrammatic thesis...
Message Flow Modeling Oscar Nierstrasz
Nierstrasz, Oscar
Message Flow Modeling Oscar Nierstrasz and Dennis Tsichritzis Computer Systems Research Group University of Toronto ABSTRACT A message management system provides users with a facility for automatically handling messages. This paper describes a technique for characterizing the behaviour of such a system
Structural Analysis of Combustion Models
Tóth, J; Zsély, I
2013-01-01T23:59:59.000Z
Using ReactionKinetics, a Mathematica based package a few dozen detailed models for combustion of hydrogen, carbon monoxide and methanol are investigated. Essential structural characteristics are pulled out, and similarities and differences of the mechanisms are highlighted. These investigations can be used before or parallel with usual numerical investigations, such as pathway analysis, sensitivity analysis, parameter estimation, or simulation.
Decision Model for Cloud Computing
Kondo, Derrick
with different pricing models for cost-cutting, resource-hungry users. Second, prices can differ dynamically (as Grenoble, France 1 #12;Trade-offs Supercomputers Performance Reliability Cost ($) low high high high Instances Â· "Spot" instance price varies dynamically Â· Spot instance provided when user's bid is greater
Modeling Techniques Towards Christian Engelmann
Engelmann, Christian
of system behavior Â· Failure mode, root cause, impact and probability Â· Resilience mechanism type, capabilities and impact Â Optimization towards "resilience computing" 2009 National HPC Workshop on Resilience in Checkpoint Scheduling Models Â· Some need better checkpoint overhead accuracy Â Constant vs. non
Comparison of Frictional Heating Models
Davies, Nicholas R [ORNL; Blau, Peter Julian [ORNL
2013-10-01T23:59:59.000Z
The purpose of this work was to compare the predicted temperature rises using four well-known models for frictional heating under a few selected conditions in which similar variable inputs are provided to each model. Classic papers by Archard, Kuhlmann-Wilsdorf, Lim and Ashby, and Rabinowicz have been examined, and a spreadsheet (Excel ) was developed to facilitate the calculations. This report may be used in conjunction with that spreadsheet. It explains the background, assumptions, and rationale used for the calculations. Calculated flash temperatures for selected material combinations, under a range of applied loads and sliding speeds, are tabulated. The materials include AISI 52100 bearing steel, CDA 932 bronze, NBD 200 silicon nitride, Ti-6Al-4V alloy, and carbon-graphite material. Due to the assumptions made by the different models, and the direct way in which certain assumed quantities, like heat sink distances or asperity dimensions, enter into the calculations, frictional hearing results may differ significantly; however, they can be similar in certain cases in light of certain assumptions that are shared between the models.
Applications of Continuum Shell Model
Alexander Volya
2006-05-16T23:59:59.000Z
The nuclear many-body problem at the limits of stability is considered in the framework of the Continuum Shell Model that allows a unified description of intrinsic structure and reactions. Technical details behind the method are highlighted and practical applications combining the reaction and structure pictures are presented.
Material models of dark energy
Jonathan A. Pearson
2014-09-16T23:59:59.000Z
We review and develop a new class of "dark energy" models, in which the relativistic theory of solids is used to construct material models of dark energy. These are models which include the effects of a continuous medium with well defined physical properties at the level of linearized perturbations. The formalism is constructed for a medium with arbitrary symmetry, and then specialised to isotropic media (which will be the case of interest for the majority of cosmological applications). We develop the theory of relativistic isotropic viscoelastic media whilst keeping in mind that we ultimately want to observationally constrain the allowed properties of the material model. We do this by obtaining the viscoelastic equations of state for perturbations (the entropy and anisotropic stress), as well as identifying the consistent corner of the theory which has constant equation of state parameter $\\dot{w}=0$. We also connect to the non-relativistic theory of solids, by identifying the two quadratic invariants that are needed to construct the energy-momentum tensor, namely the Rayleigh dissipation function and Lagrangian for perturbations. Finally, we develop the notion that the viscoelastic behavior of the medium can be thought of as a non-minimally coupled massive gravity theory. This also provides a tool-kit for constructing consistent generalizations of coupled dark energy theories.
3, 409447, 2006 Modeling carbon
Boyer, Edmond
BGD 3, 409447, 2006 Modeling carbon dynamics in farmland of China F. Zhang et al. Title Page impacts of management alternatives on soil carbon storage of farmland in Northwest China F. Zhang1,3 , C-term losses of soil organic carbon (SOC) have been observed in many agricul- ture lands in Northwest China
The Spiral Model Dror Feitelson
Feitelson, Dror
sequence of coding, testing, and integration #12;The Spiral Model Several rounds development: System rigid and sequential But there are three really important ones: Life-cycle objectives Life-cycle important ones: Life-cycle objectives Life-cycle architecture Initial operational capability (these
Blei, David M.
TOPIC MODELS DAVID M. BLEI PRINCETON UNIVERSITY JOHN D. LAFFERTY CARNEGIE MELLON UNIVERSITY 1 of the original texts Blei et al. (2003); Grif- fiths and Steyvers (2004); Buntine and Jakulin (2004); Hofmann email ?, scientific abstracts Griffiths and Steyvers (2004); Blei et al. (2003), and newspaper archives
Haller, Gary L.
, will provide years of safe reliable service. Meter Description 1. Photo Tachometer sensor, IR ThermometerUser's Guide Model RPM10 Laser Photo / Contact Tachometer with IR Thermometer Patented #12;RPM10 V1.4 8/072 1 2 3 4 5 6 7 Introduction Congratulations on your purchase of Extech's Laser Photo
A Maximally Supersymmetric Kondo Model
Harrison, Sarah; Kachru, Shamit; Torroba, Gonzalo; /Stanford U., Phys. Dept. /SLAC
2012-02-17T23:59:59.000Z
We study the maximally supersymmetric Kondo model obtained by adding a fermionic impurity to N = 4 supersymmetric Yang-Mills theory. While the original Kondo problem describes a defect interacting with a free Fermi liquid of itinerant electrons, here the ambient theory is an interacting CFT, and this introduces qualitatively new features into the system. The model arises in string theory by considering the intersection of a stack of M D5-branes with a stack of N D3-branes, at a point in the D3 worldvolume. We analyze the theory holographically, and propose a dictionary between the Kondo problem and antisymmetric Wilson loops in N = 4 SYM. We perform an explicit calculation of the D5 fluctuations in the D3 geometry and determine the spectrum of defect operators. This establishes the stability of the Kondo fixed point together with its basic thermodynamic properties. Known supergravity solutions for Wilson loops allow us to go beyond the probe approximation: the D5s disappear and are replaced by three-form flux piercing a new topologically non-trivial S3 in the corrected geometry. This describes the Kondo model in terms of a geometric transition. A dual matrix model reflects the basic properties of the corrected gravity solution in its eigenvalue distribution.