... predict the time-accurate unsteady aerodynamics of a ... means to provide the control authority to ... and extraction of the aerodynamic coefficients from ...

... furnishes quite accurate predictions of the size of the permanent indentation, the time of contact during impact and the coefficient of restitution. ...

... objects whose execution time can be accurately predicted by basic-block counting techniques are estimable. We can isolate ...

Accurate and timely predictions of airline pushbacks can potentially lead to improved performance of

... accurately predicted the temperature of real spiders, including times of heating and cooling, which made it possible to predict spider body ... ...

An accurate method of predicting the date of parturition in the bitch is clinically useful to minimize or prevent reproductive losses by timely intervention. Similarly, an accurate method of timing canine ovulation and gestation is critical for development of assisted reproductive technologies, ...

... Abstract : Accurate predictions of beta and gamma spectra as a function of time ... a limited time range by a few-term exponential series obtained by ...

Ammunition cargo forces were predicted using a frequency domain-earth coordinate system for a series of ships and load conditions. A more accurate method of prediction was developed using a time domain - ship coordinate system. This method utilized a sing...

With the initiation of the navigation accuracy prediction algorithm used to estimate the amount of GPS solution (location and time) error for receivers, the capability to accurately predict solution errors due to the major GPS error sources is growing. Al...

Accurate satellite clock predictions are essential for navigation satellite systems. The user positioning and integrity performances are dependent on the accuracy achieved when the clock estimation and prediction techniques are applied to the generation o...

The authors express a predicted time interval (or frequency) of a single clock as a weighted sum of frequency data obtained by calibrations against a primary standard, and derive a matrix equation for the optimum weighting coefficients (called the optimum...

... Karen Heavey of ARL for her help in the grid generation. ... development of new advanced guided projectiles, rockets, missiles, and smart munitions (1 ...

Under given assumptions the derived model can reproduce very accurately the time -traces of the internal SRB ballistics observed in the ground test firing. ...

curious observation about Earth's umbra. In order to accurately predict the duration of a lunar eclipse, he found it necessary to increase the radius of the shadow about 1% more...

... Abstract : A cardiovascular fitness test is one element of the US Navy ... exercise bouts accurately predicted run times (women, r = .890; men, r = .900 ...

We examined the ability of clinicians to predict the causative organism of bovine mastitis in our practice. We obtained 118 milk culture results from 112 mastitic cows and compared the culture results to the predictions of clinicians at the time of milk sample collection. Sixty of 118 culture results were ...

We examined the ability of clinicians to predict the causative organism of bovine mastitis in our practice. We obtained 118 milk culture results from 112 mastitic cows and compared the culture results to the predictions of clinicians at the time of milk sample collection. Sixty of 118 culture results were ...

and coastal floods and flash floods. CI-FLOW provides resource managers with data fundamental to ecosystem more accurate and timely warnings for flash floods, the number one severe weather threat to human life's needs by developing methods to monitor and predict floods and flash floods. Accurate quantitative

The goal of this project is to accurately predict the high altitude wave energy generated by low altitude VLF sources. We applied full-wave finite difference numerical models of the electromagnetic fields in both time and frequency domain to compute the V...

... Title : A METHODOLOGY FOR ACCURATELY PREDICTING DEMAND FOR AIRLIFT OF MILITARY CARGO TO OVERSEAS DESTINATIONS,. ...

To develop robust models for predicting the response of munitions under abnormal conditions associated with cookoff, it is necessary to be able to accurately characterize the following: the time to ignition, the location of the ignition point within the m...

There is no technical basis for setting a time limit of 10,000 years on the regulated performance of a nuclear waste repository. First, accurate prediction of releases for such periods is not possible. Second, there is nothing unique about 10,000 years. T...

Accurate estimation of energy density of fish is important for biogenetic models. Our objectives for this study were to determine which variables could be used to predict energy density instead of estimating energy density directly with bomb calorimetry. ...

accurate predictions. In the following sections, we present the details of the dryer and the procedure parameter estimation. Application of the proposed method is demonstrated on a household clothes dryer methodology in the following outline. The next section presents a closed- form exact solution to special cases

The proposed solution for reducing branch delay is as follows: (a) to introduce a very accurate decode-time branch prediction mechanism so that the outcome of a branch is known with a high degree of accuracy before the branch is resolved at execution time; and (b) to use an appropriate algorithm for the ...

The saturation development equation is solved analytically to give a solution that is more general than the existing analytical solution. This analytical solution provides accurate predictions of the saturation ratio and allows the use of relatively large time steps for the simulation of condensation processes. A statistical method ...

For Indirect-drive inertial confinement fusion (ICF) ignition at the National Ignition Facility (NIF): (1) Shock timing measurement and predictive capabilities must be accurate to - 100 ps. (2) Ablator burn through measurement and predictive capabilities must be accurate to -5%. How ...

Accurate prediction of the celestial pole offset (CPO) is of great importance for such applications as Terrestrial and Space Navigation, operational processing of the VLBI single-base rapid (intensives) observations of UT1, etc. Currently, accurate CPO values can be obtained only from the 24h VLBI sessions. Due to rather large ...

A basic kinetic mechanism that can predict the appropriate prompt-NO precursor NCN, as shown by experiment, with relative accuracy while still producing postflame NO results that can be calculated as accurately as or more accurately than through the former HCN pathway is presented for the first time. The basic NCN ...

Seismic monitoring requires accurate source characterization in real time. Accurate 3D earth models are essential for accurate predictions of seismic observables and source characterization. While recovering the true earth structure has always been the go...

Accurate prediction of ionospheric parameters is crucial for telecommunication companies. These parameters strongly rely on solar activity. In this paper, we analyze the use of neural networks for sunspots time series prediction. Three types of models are tested and experimental results are reported for a ...

This article demonstrates how the next month's energy consumption in a chemical plant can be predicted fairly accurately from the figures for the previous months, using an elementary time-series analysis. The method uses the Box-Jenkins time-series analysis, without postulating any underlying mechanism for ...

as in operational numerical weather prediction (NWP) models. Timely, accurate, and high-resolution moisture data at the University of Oklahoma in numerical weather prediction and plate tectonics studies, and will further help real-time operational tests in 1996-1997. Preprints, 12 th Conf. On ...

This paper presents a model-based Chemical Mechanical Polishing (CMP) Design for Manufacturability (DFM) () methodology that includes an accurate prediction of post-CMP copper interconnect topographies at the advanced process technology nodes. Using procedures of extensive model calibration and validation, the CMP process model ...

Communications System timing survivability can be enhanced by a backup freerunning clock capability, but this requires stable, accurate clocks. Stable, accurate cesium clocks are very expensive. Following a calibration period, errors in less expensive quartz or rubidium clocks can most likely be predicted for a ...

... Title : Fast and Accurate Prediction of Windborne Contaminant Plumes for Civil Defense in Cities. Descriptive Note : Conference paper. ...

... Accession Number : ADD200835. Title : An Accurate Prediction of Natural Frequencies of Laminated Plates by a Higher Order Theory. ...

A commercial ECG gate was tested to evaluate its ability to predict accurately the time of end-systole. The predicted times followed the manufacturer's specifications quite well. These times were compared with the actual times of end-systole as ...

A commercial ECG gate was tested to evaluate its ability to predict accurately the time of end-systole. The predicted times followed the manufacturer's specifications quite well. These times were compared with the actual times of end-systole as ...

PREDICTS is a computer program that predicts the frequencies, as functions of time, of signals to be

It has long been the goal of designers to identify a robust measure of product complexity to guide product decisions. Using Design for Assembly evaluations from over 225 assemblies and subassemblies, alternative measures of product complexity are identified and compared. Time is shown to be the most consistently predicted, useful, and fungible measure. The ...

An accurate determination of damage fluence accumulated by reactor pressure vessels (RPV) as a function of time is essential in order to evaluate the vessel integrity for both pressurized thermal shock (PTS) transients and end-of-life considerations. The ...

The research objectives of this task are three-fold. The first objective is to predict the unsteady air wake over Navy class ships. A database of important air wake conditions is thus developed which can then be incorporated into a manned flight simulator...

Many contemporary problems in science ranging from the spread of hazardous chemical or nuclear plumes to protein folding in molecular dynamics to scale up of small scale effects in nanotechnology, to making accurate predictions of the coupled atmosphere-o...

... The Larson-Miller extrapolation technique yielded accurate predictions of the long-term rupture strength of 1100-0 and 5454-0 alloys but was not ...

A general physics based hydrodynamic flow model is developed that predicts the three-dimensional six degrees of freedom free fall time history of a circular cylinder through the water column to impact with an unspecified bottom. Accurate vertical impact v...

Military commanders require timely and accurate understanding of the situation in their respective area of responsibility as well as a prediction of the likely intentions and capabilities of supposed or potential adversaries. To achieve this, intelligence...

Accurate estimation of the depth of partial-thickness burns and the early prediction of a need for surgical intervention are difficult. A non-invasive technique utilizing the difference in thermal relaxation time between burned and normal skin may be usef...

Zircaloy is commonly used as a cladding material for nuclear fuel elements. The cladding is subject to time-varying multiaxial stresses in service and the ability to accurately predict cladding behavior is necessary to maintain fuel integrity. This work i...

This report discusses the two prediction methods used in the military services in 1955. It was concluded that up to altitudes of about 40,000 feet, 24-hour forecasts of the wind direction should be accurate within about 40 degrees 70%-75% of the time.

A rapid method is needed for determining blood carboxyhemoglobin (COHb) in military field environments. The most common method available to determine COHb utilizes a laboratory analytical procedure. Although this technique is accurate, it is time-consumin...

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. ...

The use of mesoscale models to provide an accurate representation of what the atmosphere is likely to do in the near future is one of the tools forecasters utilize to predict atmospheric variables. Because of the large amount of time and computer resource...

A time-accurate finite element model for predicting the coupled dynamic response of tanker trucks and their liquid payloads is presented along with an experimental validation of the model. The tanker truck components are modeled using rigid bodies, flexib...

Several techniques are being developed and evaluated for Nowcasting (0-30 minute lead time) cloud and precipitation fields. Accurate forecasts of these fields are needed to support general and air terminal operations as well as to predict periods of micro...

Great strides have been made in the ability to model and predict oceanography (temperature, salinity, currents, etc.) accurately and in a timely manner. There exists a need to characterize the variability of the ocean based on its acoustic propagation cha...

Two continuing and important objectives of computational chemists and chemical engineers are first, to predict accurately the feasibility and extent of chemical reactions, and second, to predict accurately the rate of approach to chemical equilibrium for these reactions. The focus of our research presently is on ...

Demography is central to both ecology and evolution, and characterizing the feedback between ecology and evolution is critical for understanding organisms' life histories and how these might evolve through time. Here, we show how, by combining a range of theoretical approaches with the statistical analysis of individually structured databases, accurate ...

The fear facial expression is a distress cue that is associated with the provision of help and prosocial behavior. Prior psychiatric studies have found deficits in the recognition of this expression by individuals with antisocial tendencies. However, no prior study has shown accuracy for recognition of fear to predict actual prosocial or antisocial behavior in an experimental ...

The fear facial expression is a distress cue that is associated with the provision of help and prosocial behavior. Prior psychiatric studies have found deficits in the recognition of this expression by individuals with antisocial tendencies. However, no prior study has shown accuracy for recognition of fear to predict actual prosocial or antisocial behavior in an experimental ...

Abstract�Travel time is a fundamental measure in transportation. Accurate travel-time prediction also is crucial to the development of intelligent transportation systems and advanced traveler information systems. In this paper, we apply support vector regression (SVR) for travel-time ...

It is desirable to predict accurately the heat load on turbine hot section components within the design cycle of the engine. So, a set of predictions of the heat flux on the Blade Outer Air Seal (BOAS) of a transonic turbine is here validated with time-re...

To ensure maximum economic return, a peanut producer must accurately predict harvest time when the crop has reached optimal maturity without risking losses through mechanical damage due to deteriorating peg attachments. Currently utilized methods for predicting peanut maturity are based on hull col...

A system is described for predicting the location and movement of ground vehicles over road networks using a combination of vehicle motion models, context, and network flow analysis. Preliminary results obtained over simulated ground vehicle movement scenarios demonstrate the ability to accurately predict candidate TCT locations under ...

The key to weather prediction lies in accurately measuring these variables and feeding the data into numerical models that can predict changes in the ...

The gas chromatographic retention times of polychlorinated biphenyls (PCBs) were predicted by using descriptors derived directly from the molecular structures. A five-variable regression equation with R/sup 2/ of 0.997 and relative standard deviation of 1.7% was developed. Descriptors that represent degree of chlorination, substitution pattern, and ...

As photovoltaic (PV) penetration of the power grid increases, it becomes vital to know how decreased power output may affect cost over time. In order to predict power delivery, the decline or degradation rates must be determined accurately. For non-spectrally corrected data several complete seasonal cycles (typically 3-5 years) are ...

The Exposure Time Calculator s is a web application that assists users of the Hubble Space Telescope to predict observing times and signal to noise of mostly any possible object that can be observed by the telescope. Accurate predictions are key to determine the time ...

An MPI library's implementation of broadcast communication can significantly affect the performance of applications built with that library. In order to choose between similar implementations or to evaluate available libraries, accurate measurements of broadcast performance are required. As we demonstrate, existing methods for measuring broadcast performance are ...

With the success of Weber State University's high altitude balloon program, HARBOR, missions become more complex and payloads of higher value, the importance of being able to recover the payload quickly after landing has increased. By expanding the functionality of Weber State's Multi-Sensor Array, combined with an amateur radio terminal node controller, we will be able to ...

The ability to accurately predict power delivery over the course of time is of vital importance to the growth of the photovoltaic (PV) industry. Two key cost drivers are the efficiency with which sunlight is converted to power and secondly how this relationship develops over time. The accurate ...

Model for End-stage Liver Disease (MELD) measures serum bilirubin (mg/dL), serum albumin (g/dL), International Normalised Ratio (INR) for prothrombin time. MELD score accurately predicts survival in 3 months for cirrhotic patients on the waiting list of liver transplantation. In about 15% of patients, it does not ...

Most utilities continue to develop more-accurate models to predict system loads, but these are expensive. Commonwealth Electric Co., Wareham, Mass., has developed a simple, inexpensive method of breaking down its accurate system-load estimates into component district and substation loads, by disaggregation. The method is simple, easy ...

Scientific codes are usually parallelized by partitioning a grid among processors. To achieve top performance it is necessary to partition the grid so as to balance workload and minimize communication/synchronization costs. This problem is particularly acute when the grid is irregular, changes over the course of the computation, and is not known until load time. Critical ...

Statistical prediction remains an important tool for decisions in a variety of disciplines. An equally important issue is identifying factors that contribute to more or less accurate predictions. The time series literature includes well developed methods for studying predictability and ...

The prediction of the trajectory of mobile objects is important in many robotics applications like robot motion planning and collision avoidance. In most cases, the measurements, on which predictions are based, are subject to noise and errors. This paper presents a neural network based approach for the prediction of short-term motions ...

Pollen allergy is a common disease causing rhinoconjunctivitis (hay fever) in 5 10% of the population. Medical studies have indicated that pollen related diseases could be highly reduced if future pollen contents in the air could be predicted. In this work we have developed a new forecasting method that applies the ability of neural nets to predict the ...

This paper presents a novel technique for electric load forecasting based on neural weather compensation. The proposed method is a nonlinear generalization of Box and Jenkins approach for nonstationary time-series prediction. A weather compensation neural network is implemented for one-day ahead electric load forecasting. The weather compensation neural ...

The VIMS data buoy provides real-time data including air and water temperature, water salinity, chlorophyll, dissolved oxygen, turbidity, and water current and wave information for the York River at Gloucester Point, Virginia. The buoy is one piece of a long-term project to provide real-time data for accurate ...

Accurate travel-time predictions for regional seismic phases are essential for locating small seismic events with the accuracy needed for nuclear monitoring decisions. Travel times calculated through a three- dimensional (3-D) Earth model have the best ch...

The pollutant travel time through compacted soil material (i.e., when a pollutant introduced at the top first appears at the bottom) cannot be accurately predicted from the permeability (saturated hydraulic conductivity) alone. The travel time is also dependent on the effective p...

scheduler assigns subtask to machines giving the minimum expected subtask response time (ESRT). The ESRT @FHGI . Predicting accurate values for EMFT and ESRT for dif- ferent machine and subtask combinations subtask response time (ASRT) time be different from ESRT due to the load variations of ...

Numerous models have been developed for predicting logistic support costs of which intermediate-level maintenance repair time is an important consideration. However, the major problem is obtaining accurate input data elements to drive the models. The curr...

This paper has presented and compared seven different equations for determining the time to return from night or weekend setback. For nights that required cooling to return, the most accurate forecasts were obtained from a quadratic relationship between return times to both the outdoor temperature and the room temperature provided the ...

A new method for solving Maxwell's equations in the time domain was developed. The method approximates the integral form of the time-dependent Maxwell's equations using a finite-volume formulation. The method utilizes a staggered mesh and requires boundary conditions on the electric field or the magnetic field but not both. ...

A new method for solving Maxwell's equations in the time domain has been developed. The method approximates the integral form of the time-dependent Maxwell's equations using a finite-volume formulation. The method utilizes a staggered mesh and requires boundary conditions on the electric field or the magnetic field but not both. ...

Abstract-- In this paper, we describe a preliminary analysis of driver data collected during a recently completed small scale data collection effort. We will demonstrate that a popular method for computing Time To Lane Crossing (TLC) does not always accurately predict the driver�s actual TLC. We will then use a memory based learning ...

A new event-oriented solar proton prediction model has been developed and implemented at the USAF Space Environment forecast facility. This new model generates predicted solar proton time-intensity profiles for a number of user adjustable energy ranges and is also capable of making predictions for the heavy ion ...

Hardening depths must be determined accurately when a material is subjected to laser heat treatment. In this paper, a semi-analytical method taking into account a time-dependent pulse shape is performed. A comparison between temporal temperatures is shown for five laser shapes. The distribution temperature and surface temperature during ...

This paper presents the results of a project to develop a simple and accurate predictive algorithm for heat pump heating efficiency. Field test data are gathered. Cycling losses are then predicted by means of a model. Laboratory tests were performed to evaluate the capacity and power transients during startup, and the effect of off ...

The local when earthquake prediction is based on the connection between geomagnetic quakes and the next incoming minimum or maximum of tidal gravitational potential. The probability time window for the predicted earthquake is for the tidal minimum approximately +/-1 day and for the maximum- +/-2 days. The preliminary statistic ...

Real-time orbitography and interplanetary navigation require accurate predictions of Universal Time UT1. On time scales of up to 10 days, variations in earth rotation are mostly due to dynamic effects of the atmosphere. Therefore, the axial Atmospheric Angular Momentum (AAM) series can be used ...

... Title: An Efficient and Accurate Method of Estimating Substrate ... This thesis presents a Z-parameter based model to predict the substrate ...

This paper focuses on the question of what needs to be predicted and what processes need to be understood to predict and forecast space weather conditions that are hazardous to current technology. The paper's aim is to see if we are working on the correct space parameters to permit prediction of those quantities that actually present ...

Precise transformations between the international celestial and terrestrial reference frames are needed for many advanced geodetic and astronomical tasks including positioning and navigation on Earth and in space. To perform this transformation at the time of observation, that is for real-time applications, accurate ...

... Accession Number : ADA401116. Title : The Most Likely Nemesis to Timely, Accurate Electronic Information. Corporate Author ...

This article presents an original method to accurately predict the end of discharge of rechargeable batteries inserted in portable electronic equipments. The proposed method is based on two neural networks organized in a masterslave relation. A prediction accuracy of 3% (18 minutes) is reached. A further improvement of the system is ...

to identify them until they have become severe. Therefore, accurate quantitative assessment of drought conditions and the prediction of the onset, duration, and recovery of droughts in real-time are critical

We describe a visualization assisted process for the verification of cosmological simulation codes. The need for code verification stems from the requirement for very accurate predictions in order to interpret observational data confidently. We compare different simulation algorithms in order to reliably predict differences in ...

Because they must be hydraulically fractured to obtain economical production, these low permeability completions have producing characteristics that change several times during their life, making reserve and rate forecasts difficult. However, a method that uses early production history to predict future trends has provided accurate ...

Most solute transport measurement techniques are tedious and require extensive soil excavation. A field experiment was conducted to evaluate whether surface transport properties determined by a non-destructive time domain reflectometry (TDR) technique could be used to accurately predict tile flux co...

In the Hollywood movie GATACCA, an infant's genome sequence is produced in seconds and the probabilities of dozens of chronic disorders roll off the screen. Although real-world progress in technologies for DNA sequencing seems to be approaching the science fiction version of genomics, the ability to predict an individual's risk of chronic disease based on DNA sequence is ...

The ability to predict a pion dose distribution in a patient is a major objective of the clinical trials at LAMPF. Accurate predictions are essential for evaluation of pion therapy. But accuracy must be in the context of clinical utility. That is, reasonable approximations must be made in calculational methods so that treatment ...

Mineralization contributes significantly to agronomic N budgets and is difficult to accurately predict. Models for predicting N mineralization contributions are needed and development of these models will require field-based data. In situ mineralization methods are intended to quantify N mineralizat...

Battelle Memorial Institute works with the government and industry to develop new technologies and products. In the course of this work, Battelle has compiled several technology forecasts that speculate about what will be common in the years and decades to come. These predictions range from 2005 to 2020, and many of them are quite interesting. Concepts such as nanomachines, ...

In order to estimate the electromagnetic force acting on vessel components during tokamak disruptions, an accurate prediction of the plasma current decay time is necessary. We have verified a current decay model based on a simple series circuit with a plasma resistance and an inductance. The circuit is employed for establishment of a ...

A first-order model for predicting contaminant bioaccumulation from sediments into benthic invertebrates was validated using a marine deposit-feeding clam, Macoma nasuta, exposed to polychlorobiphenyl (PCB)-spiked and dichlorodiphenyltrichloroethane (DDT)-contaminated sediments. Contaminant uptake and depuration were analyzed following short-term and long-term sediment ...

... Unsteady or time-accurate CFD modeling Competent smart munitions that can more accurately hit a ... cubic k-& model, depending on grid fineness. ...

The importance of real-time processing of solar data especially for space weather applications is increasing continuously. In this paper, we present an automated hybrid computer platform for the short-term prediction of significant solar flares using SOHO/Michelson Doppler Imager images. This platform is called the Automated Solar Activity ...

This program is designed to develop accurate yet practical computational methods, primarily based on time-dependent quantum mechanics, for studying the dynamics of polyatomic reactions beyond the atom-diatom systems. Efficient computational methodologies are developed and the applications of these methods to practical chemical reactions relevant to ...

Support vector machines (SVMs) can be trained to be very accurate classifiers and have been used in many applications. However, the training time and, to a lesser extent, prediction time of SVMs on very large data sets can be very long. This paper presents a fast compression method to scale up SVMs to large data ...

VLBI observations carried out by global networks provide the most accurate values of the precession-nutation angles determining the position of the celestial pole; as a rule, these results become available two to four weeks after the observations. Therefore, numerous applications, such as satellite navigation systems, operational determination of Universal ...

In this work, the NASA Glenn Research Center Broadband Aeroacoustic Stator Simulation (BASS) code is extended for use in the prediction of noise produced by realistic three-dimensional rotor wakes impinging on a downstream stator row. In order to accurately simulate such a flow using a nonlinear time-accurate solver, the inflow and ...

Background?-turns are secondary structure elements usually classified as coil. Their prediction is important, because of their role in protein folding and their frequent occurrence in protein chains.ResultsWe have developed a novel method that predicts ?-turns and their types using information from multiple sequence alignments, ...

A comprehensive approach to predicting chronic lethality from acute toxicity data was developed in which simultaneous consideration is given to concentration, degree of response, and time course of effect. A consistent end point (lethality) and degree of response (0%) were used to compared acute and chronic tests. Predicted NOECs were ...

We propose a combined migration velocity analysis and imaging method based on Kirchhoff integral migration and reverse time migration, using the residual curvature analysis and layer stripping strategy to build the velocity model. This method improves the image resolution of Kirchhoff integral migration and reduces the computations of the reverse time ...

Time compression approximation (TCA) is a practical and often quite accurate tool to predict postponding infiltration for field applications. A modified approximation (MTCA) can be used just as easily and, in general, will reduce the error by about 50%. This is based on two results: (1) After ponding, TCA and MTCA ...

Photon transport in complex biological tissues is most accurately predicted via Monte Carlo (MC) modeling methods, which often require lengthy computation times. In this report, a semi-analytical technique (henceforth referred to as PI-scaling) was derived that combines MC simulation, absorption scaling, and path integrals (PI) to ...

The space-time version of the epidemic type aftershock sequence (ETAS) model is based on the empirical laws for aftershocks, and constructed with a certain space-time function for earthquake clustering. For more accurate seismic prediction, we modify it to deal with not only anisotropic clustering but also ...

In this study, we investigate the accuracy of measure-correlate-predict (MCP) algorithms and log law/power law scaling using data from two tall towers in coastal environments. We find that MCP algorithms accurately predict sea breeze winds and that log law/power law scaling methods struggle to predict 50-meter wind ...

Background:Most successful computational approaches for protein function prediction integrate multiple genomics and proteomics data sources to make inferences about the function of unknown proteins. The most accurate of these algorithms have long running times, making them unsuitable for real-time protein function ...

We have developed a sequence-specific model for predicting slopes (S) in the fundamental equation of linear solvent strength theory for the reversed-phase HPLC separation of tryptic peptides detected in a typical bottom-up-proteomics experiment. These slopes control the variation in the separation selectivity observed when the physical parameters of chromatographic separation, ...

Considered in this study is a cyclostationary generalization of an EOF-based prediction method. While linear statistical prediction methods are typically optimal in the sense that prediction error variance is minimal within the assumption of stationarity, there is some room for improved performance since many physical processes are not ...

Accurate, nonintrusive, and inexpensive techniques are needed to measure energy expenditure (EE) in free-living populations. Our primary aim in this study was to validate cross-sectional time series (CSTS) and multivariate adaptive regression splines (MARS) models based on observable participant cha...

Interest in the analysis of random vibrations of mechanical systems started to grow about a half century ago in response to the need for a theory that could accurately predict structural response to jet engine noise and missile launch-induced environments. However, the work that enabled development of the theory of random vibrations started about a half ...

This paper presents a SPICE macromodel for a 1-megawatt high power electrical switch which uses power MOSFETs as the active switching elements. The model accurately predicts the time dependent switching current and provides a reasonable representation of the time dependent switch resistance and voltage drop across ...

This paper presents a SPICE macromodel for a 1-megawatt high power electrical switch which uses power MOSFET's as the active switching elements. The model accurately predicts the time dependent switching current and provides a reasonable representation of the time dependent switch resistance and voltage drop across ...

S approach has less control overhead. When no call admission is performed, the network is more congested fixed wireless routers in the network to serve as the relay nodes for real-time traffic. We call networks with 100 and 250 nodes. Due to the lack of accurate qual- ity prediction and admission control

of the NMR chemical shift is the availability of huge amounts of experimental data. Several databases exist structures and chemical shifts besides database search should be mentioned here: the calculation, the computation time is 1000 times faster than using comparable accurate database predictions of chemical ...

The computational requirements for the prediction of steady viscous flow over complex configurations are considered. These requirements include the attainment of sufficiently accurate results at a reasonable cost and with a reasonable storage time. A method is presented for estimating, within a 1% and 0.1% accuracy, the dollar cost and ...

Despite numerous applications of time-domain reflectometry (TDR), serious difficulties exist in estimating accurate soil water contents under field conditions remain, especially in fine-textured soils. We developed a physically-based calibration model to predict the frequency and temperature depende...

Mammography is an ideal time to assess risk of breast cancer because breast density, one of the strongest risk factors for breast cancer, can be assessed from the patient's mammogram. Clinical risk factors are already assessed at the time of mammography. The combination of a qualitative measure of breast density and risk factors estimates a patient's risk ...

Accurate estimation of energy expenditure (EE) in children and adolescents is required for a better understanding of physiological, behavioral, and environmental factors affecting energy balance. Cross-sectional time series (CSTS) models, which account for correlation structure of repeated observati...

If we are to believe our predictions of the thermomechanical behavior of the material surrounding a nuclear waste repository in granite, we must test the computational methods used in making the predictions. If thermal loadings appropriate to a real repository are used, thermally induced displacements and strains are quite small, and available geotechnical ...

CE-TOFMS is a powerful method for profiling charged metabolites. However, the limited availability of metabolite standards hinders the process of identifying compounds from detected features in CE-TOFMS data sets. To overcome this problem, we developed a method to identify unknown peaks based on the predicted migration time (t(m)) and ...

The use of statistical analytical procedures (SAPs) is studied. SAP models are developed using information from a sample of nine electric utilities. The study incorporates both financial and nonfinancial information in the prediction models. The primary objectives were (1) to compare the performance of alternative statistical prediction methods, (2) to ...

The objective of this paper was to design a model of human bio signal data prediction system for decreasing of prediction error using two states mapping based time series neural network BP (back-propagation) model. Normally, a lot of the industry has been applied neural network model by training them in a supervised manner with the ...

Data collected from four beaches along southern Lake Michigan (USA) during the summer of 2004 were subjected to correlation and time-series regression analyses aimed at identifying an optimal suite of variables that could be used to predict log Escherichia coli concentrations in real time. Although other variables entered into the ...

Nine hundred female RF mice (five groups) were given preliminary exposures of Co/sup 60/ gamma -rays ranging from 0 to 2000 rads by the biweekly fractionation method. After 90 days of no irradiation, all groups were exposed to 450 rads of Co/sup 60/ gamma -rays biweekly to death. Accumulated median lethal doses and their equivalent acute values were calculated and compared to ...

In order to accurately assess the effectiveness of activated charcoal for the removal of radon from flowing air, a literature survey was performed to identify the models and relevant data that were available. It was found that by modifying the mathematical model of equilibrium stage theory used by Strong and Levins, the output rate of an activated charcoal filter exposed to a ...

Data are reported from 3,213 research eyewitnesses confirming that accurate eyewitness identifications from lineups are made faster than are inaccurate identifications. However, consistent with predictions from the recognition and search literatures, the authors did not find support for the "10-12-s rule" in which lineup identifications faster than 10-12 s ...

Data are reported from 3,213 research eyewitnesses confirming that accurate eyewitness identifications from lineups are made faster than are inaccurate identifications. However, consistent with predictions from the recognition and search literatures, the authors did not find support for the "10-12-s rule" in which lineup identifications faster than 10-12 s ...

Since duration prediction is one of the most important steps in an accident management process, there have been several approaches developed for modeling accident duration. This paper presents a model for the purpose of accident duration prediction based on accurately recorded and large accident dataset from the Korean Freeway Systems. ...

A new concept, namely the critical predictable time Tc, is introduced to give a more precise description of computed chaotic solutions of non-linear differential equations: it is suggested that computed chaotic solutions are unreliable and doubtable when t > Tc. This provides us a strategy to detect reliable solution from a given computed result. In ...

A review and analysis of the five strongest interplanetary coronal mass ejection (ICME) events of late October and early November 2003 (the strongest events of the ``Halloween'' epoch) are studied with respect to the prediction performance of five space weather forecast centers. Accurate time-of-arrival predictions ...

At present, the only accurate method for predicting the thermal performance of underground structures is through the use of large computer models and finite difference equations. Due to the prohibitively high cost of setting up and running these computer models, thermal analysis of subsurface buildings is inaccessible to many prospective users. The ...

Models of the high frequency (HF) radiowave propagation environment have been developed with the aim to provide system designers and frequency managers with the information needed to optimize HF systems to perform a required set of tasks. An important outstanding problem to be solved by the technical community is the accurate assessment and short-term ...

TRAC-PF1/MOD1 is compared to a no-failure upper plenum injection reflood test in the Cylindrical Core Test Facility. The results show that TRAC can accurately predict the asymmetric channeling of fluid from upper plenum into the core and that a multidimensional modeling capability is required to do so. The rod temperature behavior is ...

A method for characterizing a liquid crystal display (LCD) was developed using a characterized digital still camera (DSC). Prediction accuracy of the method was evaluated through calculating the Euclidean distance between prediction and the corresponding reference in the most lately standardized color appearance model CIECAM02 with rescaled lightness. This ...

... Predictions of the California Current System via Accurate Light ... ECOSYSTEMS, OCEAN CURRENTS, CALIFORNIA, VISIBILITY, COMPUTATIONS ...

... Ecosystem Predictions of the California Current System via Accurate Light ... Descriptors : *ECOSYSTEMS, OCEAN CURRENTS, OCEAN MODELS ...

Accurate life prediction is critical to successful use of ceramic matrix composites (CMC). The tools

... Density Prediction Herman L. Ammon (Department of Chemistry and Biochemistry ... The work- horse refinement code WMIN, developed in the late ...

The analysis of modern structures for aerospace, infrastructure, and automotive engineering applications necessitates the use of larger and larger computational models for accurate prediction of structural response. The ever-increasing size of computational structural mechanics simulations imposes a pressing need for commensurate increases in computational ...

Real-time motion management is important in radiotherapy. In addition to effective monitoring schemes, prediction is required to compensate for system latency, so that treatment can be synchronized with tumor motion. However, it is difficult to predict tumor motion at all times, and it is critical to determine when ...

A new statistical model for solar irradiance prediction is described. The method makes use of the atmospheric parameterizations as well as a time-series model to forecast a sequence of global irradiance in the 3--10 min time frame. A survey of some of the prominent research of the recent past reveals a definite lack of irradiance ...

The pollutant travel time through compacted soil material (i.e., when a pollutant introduced at the top first appears at the bottom) cannot be accurately predicted from the permeability (saturated hydraulic conductivity) alone. The travel time is also dependent on the effective porosity of the material; i.e., the ...

Measurements in nuclear physics laboratories form the empirical foundation for new, realistic, sophisticated theoretical models of a wide variety of astrophysical systems. The predictive power of these models has, in many instances, a strong dependence on the input nuclear data, and more extensive and accurate nuclear data is required for these models than ...

Measurements in nuclear physics laboratories form the empirical foundation for new, realistic, sophisticated theoretical models of a wide variety of astrophysical systems. The predictive power of these models has, in many instances, a strong dependence on the input nuclear data, and more extensive and accurate nuclear data is required for these models than ...

Empirical findings suggest that the mammalian brain has two decision-making systems that act at different speeds. We represent the faster system using standard signal detection theory. We represent the slower (but more accurate) cortical system as the integration of sensory evidence over time until a certain level of confidence is reached. We then consider ...

The PID (proportional + integral + derivative) feedback control of cobalt-60 irradiation of wastewater for the destruction of phenol and other toxic substances was tested experimentally with oxygen-saturated aqueous solutions of 5 ppm phenol in the presence of other organics and by simulations in which the phenol inlet concentration, degree of phenol destruction, residence ...

Oct 16, 2006 ... The thermochemistry of the volatilization reactions is not well characterized, preventing accurate understanding and prediction of the ...

The capability of models and theories to accurately predict and describe the behavior of low gravity

Package consisting of three separate programs used to accurately predict temperature distribution of

Sublimation of inorganic materials in the vacuum of space can be predicted accurately from knowledge

... NSLOT: Optical turbulence effects on laser beam propagation can be accurately predicted using incoherent scintillometers. ...

... Descriptors : *ENERGETIC PROPERTIES, QUANTUM ... MOLECULAR DYNAMICS, CHEMICAL REACTIONS ... THRUST, QUANTUM CHEMISTRY ...

Orbit Determination. Generation of accurate reconstructed and predicted trajectories using a combination of tracking data types. ...

... TO ACCURATE FAILURE STRENGTH ESTIMATION IS THE ESTABLISHMENT OF AN ULTIMATE STRENGTH PREDICTION CURVE ...