It is shown that the standard reduced order model of the induction machine, as it is incorporated into transient stability programs, cannot be used to predict accurately the terminal voltage of large horsepower induction machines during isolated operation. It is further shown that by proper application of the theory of neglecting ...
Energy Citations Database
. This simplification not only reduces the users' cognitive workload in scanning the network structure but also allows
E-print Network
Accurate neuron models at the level of the single cell are composed of dendrites described by a large number of compartments. The network-level simulation of complex nervous systems requires highly compact yet accurate single neuron models. We present a systematic, numerically efficient and stable ...
PubMed
A method for obtaining accurate reduced order models for hydro-turbines with long penstocks is presented. The inadequacy of the customary first order model is demonstrated. It is also shown that an appropriately chosen second order model provides the necessary accuracy while preserving ...
We study reduced fidelity and reduced fidelity susceptibility in the Kitaev honeycomb model. It is shown that the nearest-two-site reduced fidelity susceptibility manifests itself as a peak at the quantum phase transition point, although the one-site reduced fidelity susceptibility vanishes. ...
Accurate modeling of photochemistry is critical and fundamental to reducing the uncertainty in air quality model predictions. lmost all chemical reactions in the atmosphere are initiated by the photodissociation of a number of trace gases. irect measure of this photodissociation ...
EPA Science Inventory
This thesis researches methods of generating accurate and realistic polygonal terrain models by reducing gridded sampled terrain elevation data such as DMA DTED. The terrain models generated should be applicable for use in flight simulators and other syst...
National Technical Information Service (NTIS)
The motivation for this work is to provide a more accurate and cost effective in-line NLTE capability for calculating plasma properties in large scale radiation-transport hydrodynamic simulations. A method is developed to transform the large detailed atomic models to very small models that can be used for fast in-line calculations. An ...
NASA Astrophysics Data System (ADS)
The purpose of this work is to continue development of a model to provide a fast and accurate in-line NLTE capability for calculating plasma spectral properties in large-scale radiation-transport hydrodynamic simulations. A method has recently been developed to transform the large detailed atomic models into very small ...
DOE Information Bridge
... Title : SIMPLE AND ACCURATE CALIBRATION MODEL FOR HYDROGEN- CONTENT, BETA-PARTICLE BACKSCATTER GAUGES. ...
DTIC Science & Technology
Engineers increasingly are using sophisticated computer analysis methods to more accurately determine flood levels. As a result, many dam owners are reducing the need for upgrading flood handling capacity of dams. By using a state-of-the-art computerized flood routing model, the Lower Colorado River Authority saved about $30 million in ...
PEEC for capturing skin and proximity effects," in Proc. 6th Tropical Electrical Performance Modeling Skin and Proximity Effects With Reduced Realizable RL Circuits Shizhong Mei and Yehea I. Ismail accurately modeling skin and proximity effects. Furthermore, to incorporate skin and proximity effects
the dynamic response of the entire bladed disk. These dynamics can be accurately captured with a nite element, a simulation of a full nite element blade assembly is very expensive, and so reduced-order structural models have been developed directly from nite element models 42]. The motion of an individual blade is ...
The energy consumption of software is becoming an increasingly important issue in designing mobile embedded systems where batteries are used as the main power source. As a consequence, recently, a number of promising techniques have been proposed to optimize software for reduced energy consumption.
diagnostic and prognostic system for solid rocket motors ... as a rule only by two sensors of the head pressure and ... to reduce learning time required for accurate prediction of ... burning of the booster case (burning case fault) and also in ..... example of the design curves (5) for the head section. ...
NASA Website
Sorption and desorption of hydrophobic organic compounds (HOCs) into soil particles occurs at Air Force contamination sites. Long-term desorption extends clean up time, costing billions. Accurately modeling desorption will reduce costs and improve clean u...
One of the great challenges in environmental medicine is to define more accurately the adverse health effects likely to be encountered by exposures to these pollutants, since reducing exposure to zero is not politically and economically achievable. For ma...
Reducing the time spent to generate accurate weather forecasts will produce significant value for Naval forces (Ballas, 2001). Forecasters rely on deterministic models (Palmer, 2000), a problem when forecast uncertainty increases. This solution bias is le...
In this paper an accurate axisymmetric lattice Boltzmann D2Q9 model is proposed to simulate the steady and pulsatile flows in circular pipes. Present model is derived from an incompressible D2Q9 model and some errors in a previous model [Halliday et al., Phys. Rev. E 64, 011208 (2001)] are ...
Accurate modeling of wind turbine systems is of paramount importance for controls engineers seeking to reduce loads and optimize energy capture of operating turbines in the field. When designing control systems, engineers often employ a series of models developed in the different disciplines of wind energy. The ...
This paper presents a hybrid distributed data mining (DDM) model for optimization of response time. The model combines a mobile agent approach with client server strategies to reduce the overall response time. The hybrid model proposes and develops accurate a priori estimates of the computation ...
The accurate simulation of a neuron's ability to integrate distributed synaptic input typically requires the simultaneous solution of tens of thousands of ordinary differential equations. For, in order to understand how a cell distinguishes between input patterns we apparently need a model that is biophysically accurate down to the ...
The accurate simulation of a neuron�s ability to integrate distributed synaptic input typically requires the simultaneous solution of tens of thousands of ordinary differential equations. For, in order to understand how a cell distinguishes between input patterns we apparently need a model that is biophysically accurate down to the ...
PubMed Central
DERIVATIO OF A REDUCED IL-6 SIG AL TRA SDUCTIO MODEL Zuyi (Jacky) Huang, Yunfei Chu, and Juergen-estimated 32 #12;from the experimental data, resulting in a simple and accurate model describing IL-6 signaling of the reduced model Name Species Associated clusters (C) x1 ...
... Unsteady or time-accurate CFD modeling Competent smart munitions that can more accurately hit a ... cubic k-& model, depending on grid fineness. ...
... Title : Accurate Pairing Treatment of the Coulomb Interaction in the Anderson Model of a Localized Moment in a Metal. ...
... Title : ACCURATE DETERMINATION OF THE MOMENT OF INERTIA AND CENTER OF GRAVITY POSITION OF WIND TUNNEL MODELS. ...
... at explaining the response to hypoxia and hypercapnia ... More accurate lung injury model. ... accurate determination of lung injuries, including location ...
... Accession Number : ADA396425. Title : Accurate Multiresolution Modeling of the Earth's Gravitational Field. Descriptive ...
... Accession Number : ADA534986. Title : Accurate Modeling of Ionospheric Electromagnetic Fields Generated by a Low Altitude VLF Transmitter. ...
Fast and accurate distillation design requires a model that significantly reduces the problem size while accurately approximating a full order distillation column model. Variable number of trays and variable feed tray location make optimization possible. This collocation ...
While the need for accurate calculation of nucleosynthesis and the resulting rate of thermonuclear energy release within hydrodynamic models of stars and supernovae is clear, the computational expense of these nucleosynthesis calculations often force a compromise in accuracy to reduce the computational cost. To redress this trade-off ...
We present accurate electromechanical measurements on a balanced push-pull dielectric elastomer actuator, demonstrating submicrometer accurate position control. An analytical model based on a simplified pure-shear dielectric elastomer film with prestretch is found to capture the voltage-displacement behavior, with ...
The implementation of coherency-based system reduction within the EPRI stability program is described. The objective of the implementation is to reduce the effort of simulations out to tens of seconds, by accurately reducing the model size. It has been tested on 49, 443 and 1454 bus test systems. Computational ...
For the Computational Fluid Dynamics (CFD) modeling of combustion and detonation of Jet A aviation fuel it is necessary to use the simplest kinetic mechanism that accurately describes the essential relevant phenomena. A surrogate that demonstrated good agreement with the parent fuel in the detonation process was chosen. A detailed kinetic mechanism was ...
A novel technique for computing unsteady flows about turbomachinery cascades is presented. Starting with a frequency domain CFD description of unsteady aerodynamic flows, the authors form a large, sparse, generalized, non-Hermititan eigenvalue problem that describes the natural modes and frequencies of fluid motion about the cascade. They compute the dominant left and right eigenmodes and ...
This paper reports on an automated, cognitive model for mine design which is needed, one that can work as an independent model for input generation and error-checking and that will support decision making based on output analysis. Such a model should be able to be interfaced with a number-crunching model to ...
This thesis presents an approach to find lower resolution CFD models that can accurately lead a designer to a correct decision at a lower computational cost. High-fidelity CFD models often contain too much information and come at a higher computational cost, limiting the designs a designer can test and how much optimization can be ...
MotivationOne bottleneck in high-throughput protein crystallography is interpreting an electron-density map; that is, fitting a molecular model to the 3D picture crystallography produces. Previously, we developed Acmi, an algorithm that uses a probabilistic model to infer an accurate protein backbone layout. Here we use a sampling ...
We present a collection of algorithms which utilizedimensional reduction to perform mesh refinement and study possiblysingular solutions of time-dependent partial differential equations. Thealgorithms are inspired by constructions used in statistical mechanics toevaluate the properties of a system near a critical point. The firstalgorithm allows the accurate determination of ...
Advancements in Sugar include 1) parameterizable netlists, 2) nonlinear frequency response analysis, 3) subnets, 4) improved MNA, 5) reduced order modeling, and 6) a more accurate nonlinear beam model. Examples of these features include the simulation of a two-axis mirror with over 10,000 degrees of freedom, the ...
A condensed chemical mechanism that represents the reactions of organic compounds in the atmosphere is developed and tested using a one-dimensional model. Due to the differences between the full and condensed mechanisms, the reduced version cannot be considered an accurate predictor of globally important trace species concentrations. ...
It is commonly known that an accurate analysis of a large structure requires an accurate analytical model. This is also true for the inverse analysis of a structural system where measured structural responses are used as input to assess the structural conditions. However, an accurate model of ...
The ability to accurately forecast the spread of a wildfire would significantly reduce human suffering and loss of life, the destruction of property, and expenditures for assessment and recovery. To help achieve this goal we have developed a model which accurately simulates the interactions between winds and the ...
The transformer designer employs detailed electrical models to develop a reliable and cost effective transformer insulation structure. The power engineer must model not only the transformer, but the system, therefore the power engineer requires a smaller model of the transformer that accurately represents its ...
Recent calculations have significantly decreased the scheme and residual scale dependence of basic radiative corrections of the Standard Electroweak Model. This leads to a theoretically accurate prediction of the W-boson mass MW, as well as a reduced upper bound for the Higgs boson mass MH. The implications of a precise MW measurement ...
Meteor signatures contain information about the constituents of space debris and present potential false alarms to early warnings systems. Better models could both extract the maximum scientific information possible and reduce their danger. Accurate predictions can be produced by models of modest complexity, which ...
Reducing U.S. forces. battlefield mortality is a paramount concern. Methods to more accurately forecast medical needs, for example by tactical medical logistics modeling and simulation, are constantly being developed. The Naval Health Research Center's (N...
The objectives of this work in progress are to improve the levels of care in anticoagulation therapy while reducing the effort required and the costs. This will be achieved by the preprocessing of the available real world data and projecting it into a suitable analysis space before modelling with individualised, constantly learning Evolving Takagi Sugeno ...
A brief survey of the present-day status of the problem of multidimensional-black-hole production at accelerators according to models featuring large extra dimensions is given. The respective production cross section and the Hawking temperature and decay rate are estimated versus model parameters. Possible flaws and assumptions whose ...
Modelers and regulatory agencies typically use default atrazine half-life values of 60 to 120 d to predict the herbicide¿s transport; however, if atrazine persistence is reduced in soils exhibiting enhanced degradation, but modelers continue to use historic atrazine persistence estimates, then accur...
Technology Transfer Automated Retrieval System (TEKTRAN)
are facing large slug flow type of variations. One way to reduce the ILS sensitivity towards flow variations on a commercially available G/L ILS. Keywords: inline separation, oil and gas industry, slug control, model based to be fulfilled in the presence of a variety of inlet flow variations (slugs) typically present in oil & gas
... KNOWING THE PROBE ANGLE, A PARAMETER DIFFICULT TO MEASURE ACCURATELY AND ... FROM DIFFERENT ANGLES, THUS REDUCING ...
In recent years, there has been intense interest in understanding various physical phenomena in random heterogeneous media. Any accurate description/simulation of a process in such media has to satisfactorily account for the twin issues of randomness as well as the multilength scale variations in the material properties. An accurate ...
Reduced chemical kinetic models are often used in place of a detailed mechanism because of the computational expense of solving the complete set of equations describing the reacting system. Mathematical methods for model reduction are usually associated with a nominal set of reaction conditions for which the model ...
Electrical modeling for surface-mount passive components is proposed. In order to accurately capture parasitic inductance, the proposed 2-port model accounts for surrounding ground layer configurations of the print circuit board (PCB) on which the component is mounted. Our model retains conventional ...
We show that a model for the collective atomic recoil laser, previously introduced to include collisions with an external buffer gas, can be reduced to a single dynamical equation for the probe amplitude. This is the result of a clever adiabatic elimination of the atomic variables and of the assumption of a negligible effect of the probe field onto the ...
We consider a stochastic susceptible-exposed-infected-recovered (SEIR) epidemiological model. Through the use of a normal form coordinate transform, we are able to analytically derive the stochastic center manifold along with the associated, reduced set of stochastic evolution equations. The transformation correctly projects both the dynamics and the noise ...
It has been shown that a two-delayed neutron group model will accurately represent the asymptotic behavior of the reactor transfer function. Correspondingly, the requirement that this asymptotic behavior be accurately represented is sufficient to specify completely the twodelayed neutron group constants. Funther, a ...
The AMANDES project aims to study transports from the Andean mountains to the Atlantic Ocean through the Amazon system. This requires realistic estuarine modelling in this area strongly forced by tides and river discharge. As none of the existing models for this region would fit the actual needs of the project, a specific new generation ...
Advanced, high-altitude remote sensing platforms are important for surveillance, and their ability to resolve details on the ground is crucial to military operations. With sponsorship from the Air Force Research Laboratory Space Vehicles Directorate, Major Meidunas developed new methods for extracting information from images acquired by these platforms and new ways to ...
Theoretical investigations and field data analyses helped develop a new method of predicting the rate of inclination change in a deviated well bore to help reduce the frequency and magnitude of doglegs. Predicting borehole dogleg severity is one of the main problems in directional drilling. Predicting the tendency and magnitude of borehole deviation and comparing them to the ...
The Tofts model (TM) and extended Tofts model (ETM) have become a standard for the analysis of dynamic contrast-enhanced MRI. In this study, a mathematical analysis is used to identify exactly in which tissue types the Tofts models may be applied. The results show that the TM is accurate if and only if the tissue ...
This paper is concerned with the spatial acoustic response of the human pinna modelled with the boundary element method (BEM). Accurate geometric models of five pinnae are captured by using state-of-the-art 3-D laser scanners and digitisers. These computer models are converted to valid BEM ...
Stiffness variation versus stimulation for a light activated shape memory polymer (LASMP) is predicted with a multiscale modeling approach. The multiscale model utilizes rotational isomeric state theory to build a polymer chain conformation, Johnson distributions to model the distances between crosslinks, junction constraints to ...
... Title: An Efficient and Accurate Method of Estimating Substrate ... This thesis presents a Z-parameter based model to predict the substrate ...
... to) - Title and Subtitle Accurate Identification of Evoked Potentials by Waveform Decomposition Using Discrete Cosine Transform Modeling ...
... Title : Accurate Identification of Evoked Potentials by Waveform Decomposition Using Discrete Cosine Transform Modeling. ...
... for an Electronics Capital Equipment Manufacturer. ... accurate inventory demand forecasting is becoming ... need for accurate forecasts and adequate ...
The scope of modelling environmental systems extends from mimicking observed dynamics to accurate forecasting capabilities as numerical weather forecasts. A central problem for accurate modelling is the knowledge of the underlying dynamical processes as well as the physical parameters and initial conditions. It is ...
The primary requirement for any engineering model is to provide the user accurate ... Thus, any engineering model must include an accurate assessment of the ...
With the advent of a simple matrix inversion technique, measurement-based storage ring modeling has made rapid progress in recent years. Using fast computers with large memory, the matrix inversion procedure typically adjusts up to 10{sup 3} model variables to fit the order of 10{sup 5} measurements. The results have been surprisingly ...
Many dynamical systems tested in the field and the laboratory display significant nonlinear behavior. Accurate characterization of such systems requires modeling in a nonlinear framework. One construct forming a basis for nonlinear modeling is that of the artificial neural network (ANN). However, when system behavior is complex, the ...
This work describes the development of a computer modeling system for infrared pyrometry measurement of gas turbine blade temperature. The model accurately evaluates apparent target emissivity and temperature on the basis of the radiation heat fluxes exchanged at steady-state conditions. Experimental testing conducted on gas turbine ...
Accurate prediction of the response of aircraft skins to acoustic loading is important in the design of future air vehicles. Direct time integration of full-order, nonlinear, finite element models may be accurate, but is computationally expensive. Much work has been reported in recent years on prediction methods, which ...
This paper presents a tidally averaged model that approximates the long-term mixing processes of dissolved matter in tidal waters. The averaged transport model is based on a stochastic particle model. Because formal averaging techniques are used, the asymptotic validity of the approximation can be proven under the restriction that the ...
Terrestrial biosphere models show large differences when simulating carbon and water cycles, and reducing these differences is a priority for developing more accurate estimates of the condition of terrestrial ecosystems and future climate change. To reduce uncertainties and improve the understanding of their carbon ...
Leveraging silicon validation, a model-based variability analysis has been implemented to detect sensitivity to systematic variations in standard cell libraries using a model-based solution, to reduce performance spread at the cell level and chip level. First, a simulation methodology to predict changes in circuit characteristics due ...
The assumed beta distribution model for the subgrid-scale probability density function (PDF) of the mixture fraction in large eddy simulation of nonpremixed, turbulent combustion is tested, a priori, for a reacting jet having significant heat release (density ratio of 5). The assumed beta distribution is tested as a model for both the subgrid-scale PDF and ...
The development of accurate numerical model of the atmospheric general circulation experiment (AGCE)
NASA Technical Reports Server (NTRS)
... An accurate and useful model will require coupling sediment-transport with hydrodynamic forcing and stratigraphy. The ...
We investigate numerically an inverse problem related to the Boltzmann�Poisson system of equations for transport of electrons in semiconductor devices. The objective of the (ill-posed) inverse problem is to recover the doping profile of a device, presented as a source function in the mathematical model, from its current�voltage characteristics. To ...
Energy consumption of software is becoming an increasingly important issue in designing mobile embedded systems where batteries are used as the main power source. As a consequence, recently, a number of promising techniques have been proposed to optimize software for reduced energy consumption. Such low-power software techniques require an energy consumption ...
... The errors in linear reduced models of structures, their effects ... errors are reduced as the complementary structure of a reduced model is stiffened. ...
The use of turbulent premixed combustion in engines has been garnering renewed interest due to its potential to reduce NOx emissions. However there are many aspects of turbulence-flame interaction that must be better understood before such flames can be accurately modeled. The focus of this dissertation is to develop an improved ...
An analysis method for evaluating the use of polymeric drag reducing agents (DRA) within the Strategic Petroleum Reserve brine disposal pipelines has been formulated. This method is based upon a detailed flow model describing the flow of solutions with DRA through the brine pipeline at West Hackberry, Louisiana. The verification of this ...
Mathematical models used to predict the behavior of genetically modified organisms require 1). a (rather) large number of state variables, and 2). complicated kinetic expressions containing a large number of parameters. Since these models are hardly identifiable and of limited use in model-based optimization and control strategies, a ...
Numerical groundwater flow models often have a very high number of model cells (greater than a million). Such models are computationally very demanding, which is disadvantageous for inverse modeling. This paper describes a low-dimensional formulation for groundwater flow that reduces the ...
Presented is a study on the importance of certain land surface processes in accurately simulating the summertime climate of Southwest Asia. A nearly 4 degree C bias is simulated in summertime temperatures, by standard Regional Climate Model version 3 (RegCM3). Biases are also found in surface albedo, shortwave incident, and surface vapor pressure. Using ...
To both quantify and reduce uncertainty in ice activation parameterizations for stratus clouds occurring in the temperature range between -5 to -10 C ensemble simulations of an ISDAC golden case have been conducted. To formulate the ensemble, three parameters found within an ice activation model have been sampled using a Latin hypercube technique over a ...
While models of combustion processes have been successful in developing engines with improved fuel economy, more costly simulations are required to accurately model pollution chemistry. These simulations will also involve significant parametric uncertainties. Computational singular perturbation (CSP) and polynomial chaos-uncertainty ...
A fast and accurate model to compute optimal colors under a given illuminant is introduced. The model estimates the reflectance (transmittance) distributions of optimal colors, which is bandpass (Type 1) or bandstop (Type 2), at a given luminance factor with user-specified small tolerances for the bandwidth (e.g., 10(-10) nm). The ...
Conductance-based neuron models are frequently employed to study the dynamics of biological neural networks. For speed and ease of use, these models are often reduced in morphological complexity. Simplified dendritic branching structures may process inputs differently than full branching structures, however, and could thereby fail to ...
Coarse-grained models decrease the number of force sites and thus reduce computational requirements for molecular simulation. While these models are successful in describing structural properties, dynamic evolution is faster than the corresponding atomistic simulations or experiments. We consider coarse-grained ...
Apodization, which is a tool frequently used for cosmetic representation and efficient modeling of a spectrum, is now also adopted in techniques for the quantitative retrieval of parameters from observed spectra. Whether apodization can help in quantitative spectroscopy is the subject of debate in the literature. We find that, when the considered spectral range is wide enough ...
This paper describes an algorithm for generating unit planned outage modeling in the extended decomposition-simulation approach for multi-area reliability calculations. A brief description of the extended decomposition-simulation approach is presented. Then, the algorithm for generating unit planned outage modeling is described. The algorithm is based on a ...
We explore the properties of the bipolaron in a 1D Holstein-Hubbard model with dynamical quantum phonons. Using a recently developed variational method combined with analytical strong coupling calculations, we compute correlation functions, effective mass, bipolaron isotope effect, and the phase diagram. The two site bipolaron has a significantly reduced ...
In the present study, a Compton camera, including detailed timing characteristics of the component detectors and related data acquisition (DAQ) electronics, was modeled very accurately with Geant4. The results are very convincing�the inclusion of the timing characteristics in the simulation reduced the imaging sensitivity discrepancy ...
The cluster variation method (CVM) is an approximation technique which generalizes the mean field approximation and has been widely applied in the last decades, mainly for finding accurate phase diagrams of Ising-like lattice models. Here we discuss in which cases the CVM can yield exact results, considering: (i) one-dimensional systems and strips (in ...
This paper proposes two approximate methods to solve Volterra�s population model for population growth of a species in a closed system. Volterra�s model is a nonlinear integro-differential equation on a semi-infinite interval, where the integral term represents the effect of toxin. The proposed methods have been established based on collocation ...
A simple interpolation scheme (SIS) suggested in an earlier paper is used to obtain the excess Helmholtz free energy and the equation of state for the shielded sticky-shell model and the shielded sticky-point model of associative fluids. It is found that the equation of state under the SIS for a fully associated homonuclear dumbbell fluid is quite ...
A novel approach is proposed to obtain a record of the patient's occlusion using computer vision. Data acquisition is obtained using intra-oral video cameras. The technique utilizes shape from shading to extract 3D information from 2D views of the jaw, and a novel technique for 3D data registration using genetic algorithms. The resulting 3D model can be used for diagnosis, ...
We outline the techniques used within PEREGRINE, a 3D Monte Carlo code calculation system, to model the photon output from medical accelerators. We discuss the methods used to reduce the phase-space data to a form that is accurately and efficiently sampled.
Interferometrically measured system wavefronts combined with a differential ray-traced lens model are used to determine alignment adjustments to a lens system. This is achieved by minimizing the difference between measured and ray-traced wavefronts by means of a damped least-squares method, without information regarding individual surface shapes or misalignment sources in the ...
Compatibility reviews follow a checklist and help ensure compatibility between projects when they are placed on caGrid. Some criteria can be evaluated with tools such as the UML Loader or Semantic Integration Workbench. Other criteria must be reviewed manually. The CRS tool reduces the amount of time reviewers must spend on administrative work and allows them to focus on ...
Cancer.gov
A Rochester Institute of Technology (New York) program costing model designed to reflect costs more accurately allocates indirect costs according to salaries and wages, modified total direct costs, square footage of space used, credit hours, and student and faculty full-time equivalents. It allows administrators to make relative value judgments about costs ...
ERIC Educational Resources Information Center
An active policy preventive maintenance requires the timely replacement of worn parts, which, in turn, means an accurate system for tracking wear. The benefits of such a well-managed preventive maintenance plan are fairly obvious: timely repairs extend the life of equipment, ensure it performs at its rated capacity, and reduce downtime. The preventive ...
Octupole vibrntions of deformed even-mass nuclei are considered in terms of the collective model. The second quantization method is applied. It is shown that g-vibrations are accurately separnted from gamma vibrations for any frequency. The reduced probability for M2 transition from the g-band is calculated. (auth)
The major objective of these analytical and experimental investigations was to develop mathematical and physical models that would provide accurate knowledge of the hydrodynamic and thermal characteristics of convectively cooled, pipe-type electric cables. The various cable system components were analyzed separately to determine their respective influence ...
Blast barrier walls have been shown to reduce the blast load on structures in most scenarios. Analysis of existing data for blast barrier response reveals that a need exists to determine the bounds of the problem and produce a fast-running accurate model ...
It is desirable for local air quality agencies to accurately forecast tropospheric PM2.5 concentrations to alert the sensitive population of the onset, severity and duration of unhealthy air, and to encourage the public and industry to reduce emissions-producing activi...
Computational modeling is increasingly used to understand the function of neural circuits in systems neuroscience. These studies require models of individual neurons with realistic input-output properties. Recently, it was found that spiking models can accurately predict the precisely timed spike trains produced by ...
Computational modeling is increasingly used to understand the function of neural circuits in systems neuroscience. These studies require models of individual neurons with realistic input�output properties. Recently, it was found that spiking models can accurately predict the precisely timed spike trains produced ...
Occupational back pain and injury are common and costly issues. Biomechanical models are often used to quantify job risk by estimating back muscle forces. In general, the most accurate models are also the most complex, creating demand for models that are both straightforward and accurate. An ...
Self-expanding nitinol stents are used to treat peripheral arterial disease. The peripheral arteries are subjected to a combination of mechanical forces such as compression, torsion, bending, and contraction. Most commercially available peripheral self-expanding stents are composed of a series of sub-millimeter V-shaped struts, which are laser-cut from a nitinol tube and surface-treated for better ...
Accurate information about autocorrelation is important in classifying reservoirs or in modeling fluid flow in permeable media. However, our knowledge of autocorrelation is based on one-dimensional constructs derived from time-series analysis of geostatistics. Little is known about how well these tools apply to multidimensional fields. This work studies ...
Feedback control is most successful when an accurate model of the system-to-be-controlled is available. For fluids, this can be achieved using a reduced order model which is balanced (meaning the input-output behaviour is properly captured). With this in mind, we consider feedback control of the cylinder wake in ...
A new empirical atmospheric density model is developed using the CIRA72 (Jacchia 71) model as the basis for the diffusion equations. New solar indices based on orbit-based sensor data are used for the solar irradiances in the extreme and far ultraviolet wavelengths. New exospheric temperature and semiannual density equations are employed to represent the ...
A strain reversal produces microstructural and mechanical transients that cannot be described with conventional models applicable under monotonic deformation conditions. State-of-the-art models incorporating plastic strain path effects are polarized into continuum constitutive models of cyclic plasticity and multiscale constitutive ...
Above a certain critical speed, slidingsystems with frictional heatingsuch as brakes and clutches can exhibit thermoelastic instability in which non-uniform perturbations develop in the pressure and temperature elds. A method is described in which the transient thermomechanical behaviour of such systems is approximated by a reduced order model, describing ...
Models describing the kinetics of HMX slow decomposition in terms of reduced 3-step Arrhenius kinetics have been very successful in predicting time-to-explosion for HMX-based explosives over a wide range of heating rates. However, the detailed reaction and temperature profiles predicted by these codes have not been tested, and in particular, the accuracy ...
Sustainable delivery of quality healthcare at affordable cost is a major challenge, especially in oncology. Through interdisciplinary collaboration, researchers can provide new insights into familiar concepts and radically change the ways in which biopharmaceutical and medical studies are conducted and translated into clinical practice. One interdisciplinary approach is 'Virtual R&D', that is, ...
Adoption of efficient end-use technologies is one of the key measures for reducing greenhouse gas (GHG) emissions. How to effectively analyze and manage the costs associated with GHG reductions becomes extremely important for the industry and policy makers around the world. Energy-climate (EC) models are often used for analyzing the costs of ...
For harmonic analysis it is not practically possible to model a large transmission network with its neighboring interconnected systems in detail due to computer time and memory limitations. Furthermore, a large number of outage contingencies has to be analyzed to compute harmonic impedance boundaries for filter designs. Current methods do not address ...
Estimation of the static state of an electric power network has become a standard function in real-time monitoring and control. Its purpose is to use the network model and process the metering data in order to determine an accurate and reliable estimate of the system state in the real-time environment. In the models usually used it is ...
... Accession Number : ADD419324. Title : An Accurate, Economical, Solar Insolation Computer Model for the United States,. Corporate Author : ...
Jan 22, 2011 ... Title: Accurate electromagnetic modeling of terahertz detectors. Authors: Focardi, Paolo McGrath, William R. Keywords: slot antennas ...
Vibrations in support cables can be caused by wind, rain, or other forces acting on the attached structure. This can result in premature failure of the cable or its connections, thereby reducing the cable's useful lifetime. This research paper, from the University of Southern California civil engineering department, extends the previous work of the authors on smart vibration ...
NSDL National Science Digital Library
The goal of this project is to improve energy efficiency of industrial crushing and grinding operations (comminution). Mathematical models of the comminution process are being used to study methods for optimizing the product size distribution, so that the amount of excessively fine material produced can be minimized. The goal is to save energy by reducing ...
Vaccination reduces transmission of pathogens directly, by preventing individual infections, and indirectly, by reducing the probability of contact between infected individuals and susceptible ones. The potential combined impact of future dengue vaccines can be estimated using mathematical models of transmission. However, there is ...
For prediction of static and dynamic performance of doubly-salient motors, it is essential to know their flux linkage-position-excitation characteristics and also the static torque characteristics. At the design stage determination of these characteristics presents difficulties because of highly nonlinear behavior of the magnetic circuit. It is possible to use numerical field solution of the ...
... Data collected to build the organizational model was ... organizational models are often most accurate and provide the greatest insight. ...
... The work on solar dynamo modeling involved a formulation� of a realistic model of magnetic diffusion. ... 2. Solar Dynamo Modeling. ...
Accuracy of the patient-model is a critical point in robot assisted surgery. When performing craniotomies, the dura mater must not be perforated. Hence bone width is of particular interest. The influence of imaging and segmentation on accuracy of the width of the bone-model was investigated. A human cadaver head was scanned with a CT-scanner under a ...
BackgroundMicroarray technology is a commonly used tool for assessing global gene expression. Many models for estimation of target concentration based on observed microarray signal have been proposed, but, in general, these models have been complex and platform-dependent.Principal FindingsWe introduce a universal Langmuir model for ...
BackgroundDiscovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1 million genetic markers) and its complexity make the statistical analysis a challenging task.ResultsWe present an accurate modeling of dependences between genetic markers, based on ...
Accurate combustion models provide information that allows increased boiler efficiency optimization, saving money and resources while reducing waste. Boiler combustion processes are noted for being complex, nonstationary and nonlinear. While numerous methods have been used to model boiler processes, data driven ...
Variational reduced-density-matrix theory is applied to calculating the ground-state energy and two-electron reduced density matrices (2-RDMs) of the one-dimensional Hubbard model for a range of interaction strengths. The 2-RDM is constrained to represent an N-particle wave function by two sets of N-representability conditions, known ...
This paper describes the role of supertagging in a wide-coverage CCG parser which uses a log-linear model to select an analysis. The supertagger reduces the derivation space over which model estimation is performed, reducing the space required for discriminative training. It also dramatically increases the speed of ...
The H.264 video coding standard achieves high performance compression and image quality at the expense of increased encoding complexity. Consequently, several fast mode decision and motion estimation techniques have been developed to reduce the computational cost. These approaches successfully reduce the computational time by reducing ...
In the design of vehicles, such as automobiles, aircraft, spacecraft, or submarines, it is important to be able to accurately predict dynamic behavior of the structure. With the extremely high cost of building physical prototypes of these vehicles, there is a growing emphasis on analysis of computer models. In this dissertation, a method known as Automated ...
We have developed a simple model that yields an approximate analytical expression for the Coulomb-barrier penetration factor in terms of the reduced mass M of the nucleon pair, the mass m of the particle that binds together the nuclei, the inner turning point ri for the state under consideration, and the variation in the electronic or muonic contribution ...
PURPOSE: Realistic soft tissue deformation modeling and haptic rendering for surgical simulation require accurate knowledge of tissue material characteristics. Biomechanical experiments on porcine tissue were performed, and a reduced quasi-linear viscoelastic model was developed to describe the strain-dependent ...
Loss of dopamine from the striatum can cause both profound motor deficits, as in Parkinson's disease, and disrupt learning. Yet the effect of dopamine on striatal neurons remains a complex and controversial topic, and is in need of a comprehensive framework. We extend a reduced model of the striatal medium spiny neuron (MSN) to account for dopaminergic ...
The language model design and implementation issue is researched in this paper. Different from previous research, we want to emphasize the importance of n-gram models based on words in the study of language model. We build up a word based language model using the toolkit of SRILM and implement it for contextual ...
With shrinking feature sizes and error budgets in OPC models, effective pattern coverage and accurate measurement become more and more challenging. The goal of pattern selection is to maximize the efficiency of gauges used in model calibration. By optimizing sample plan for model calibration, we can ...
Although it is very important to conduct listening tests when constructing a practical sound field reproduction system based on wave field synthesis, listening tests are very expensive. A localization model of synthesized sound images that predicts the results of listening tests is proposed. This model reduces the costs of constructing ...
