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检索条件"任意字段=Proceedings of the 9th International Conference on Predictive Models in Software Engineering"

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Slice-based dynamic memory modelling - a case study

Slice-based dynamic memory modelling - a case study

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IEEE Annual international Computer software and Applications conference (COMPSAC)

作者： Y. Sivagurunathan M. Harman B. Sivagurnathan KW International London UK Brunel University Uxbridge Middlesex UK

Program slicing is a source-code extraction technique that identifies parts of a program which have no effect upon a chosen set of variables at a point of interest. Slices can be constructed statically (with respect to no input information) or conditionally (with respect to partial input information). they can also be constructed in either a purely syntax-preserving or amorphous way. Amorphous slices tend to be smaller than their syntax-preserving counterparts but they may not be syntactically related to the original. this paper presents the results of a case study which assesses the value of static and conditioned slicing (in both syntax-preserving and amorphous formulations) upon the problem of dynamic memory analysis. the results confirmed our belief that slicing is helpful for dynamic memory analysis: syntax-preserving static slicing produced an order-of-magnitude reduction in the size of the program to be analysed. Amorphous static slicing produced a further reduction in slice size. Finally, conditioned slicing (both syntax-preserving and amorphous) produced the smallest slices (12 to 35 lines of code).

关键词： Computer aided software engineering Vehicle dynamics Amorphous materials Lab-on-a-chip Performance analysis predictive models Vehicle crash testing Vehicles Computer applications Application software

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Fast software implementation of MPEG advanced audio encoder

Fast software implementation of MPEG advanced audio encoder

引用

international conference on Digital Signal Processing (DSP)

作者： I. Dimkoviae D. Milovanoviae Z. Bojkoviae PsyTEL Research Belgrade Serbia Faculty of Elcclrical Engineering Belgrade Serbia

An optimized software implementation of a high quality MPEG AAC-LC (low complexity) audio encoder is presented in this paper. the standard reference encoder is improved by utilizing several algorithmic optimizations (fast psycho-acoustic model, new tonality estimation, new time domain block switching, optimized quantizer and Huffman coder) and very careful code optimizations for PC CPU architectures with SIMD (single-instruction-multiple-data) instruction set. the psychoacoustic model used the MDCT filterbank for energy estimation and peak detection as a measure of tonality. Block size decision is based on local perceptual entropies as well as LPC analysis of the time signal. Algorithmic optimizations in the quantizer include loop control module modification and optimized Huffman search. Code optimization is based on parallel processing by replacing vector algebra and math junctions with their optimized equivalents with Intel/sup /spl reg// Signal Processing Library (SPL). the implemented codec outperforms consumer MP3 encoders at 30% less bitrate at the same time achieving encoding times several times faster than real-time.

关键词： Signal processing algorithms Psychoacoustic models software quality Code standards Psychology Filter bank Energy measurement Entropy Linear predictive coding Signal analysis

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Prediction of driving performance using Nonlinear Causal Resource Analysis

Prediction of driving performance using Nonlinear Causal Res...

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Annual international conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： C.A. Fischer G.V. Kondraske R.M. Stewart Human Performance Institute University of Texas Arlington Arlington TX USA

this research examines and demonstrates the potential of Nonlinear Causal Resource Analysis models in predicting driving performance. Motor-control, sensory, and central processing performance resources measurements were collected from a group of subjects (Group A (n=60) and Group B (n=9)), demonstrating a wide range of driving and performance resource availability. In car driving performance was determined by a skilled driving evaluator. Ten performance resources from subjects in Group A were used to construct NCRA models of driving. Model based predictions for Group B correlated (r=.83) with expert rater evaluations. For each prediction, a limiting resource was identified. the NCRA models, constructed with a modest number of subjects and basic performance resources, were able to well predict the level of driving performance, and identify the limiting resource for each subject.

关键词： Performance analysis Testing predictive models Availability Neuroscience Battery charge measurement Humans Hospitals Medical conditions Regression analysis

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Creating metabolic and regulatory network models using fuzzy cognitive maps

Creating metabolic and regulatory network models using fuzzy...

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Joint 9th IFSA World Congress and 20th NAFIPS international conference

作者： Dickerson, J.A. Cox, Z. Wurtele, E.S. Fulmer, A.W. Electrical Engineering Dept. Iowa State University Ames IA United States Botany Dept. Iowa State University Ames IA United States Procter and Gamble Co. Corporate Research Cincinnati OH United States

this paper describes a model of metabolic networks that uses fuzzy cognitive maps. Nodes of the map represent specific biochemicals such as proteins, RNA, and small molecules, or stimuli, such as light, heat, or nutrients. Edges of the map capture regulatory and metabolic relationships found in biological systems. these relationships are established by a domain expert, the biological literature, and extracted from RNA microarray data. this work is part of the development of a software tool, FCModeler, which models and visualizes metabolic networks. A model of the metabolism of the plant hormone gibberellin in Arabidopsis is used to show the capabilities of the fuzzy model.

关键词： Fuzzy sets

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Evolutionary control method and swing up and stabilization control of inverted pendulum

Evolutionary control method and swing up and stabilization c...

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conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： S. Yasunobu H. Yamasaki Institute of Engineering Mechanics and Systems University of Tsukuba Tsukuba Japan Master's program in Science and Engineering University of Tsukuba Tsukuba Japan

the control of a nonlinear system where the characteristics are changing is difficult. In order to control the system, a study is needed to model during the execution and control. In this paper, a new evolutionary control method is proposed that combines the evolutionary modeling by on-line GA and predictive fuzzy control. this control method is applied to the control of inverted pendulum where characteristics are modified actively to the external factor. the effectiveness of this control method has been confirmed.

关键词： Control systems Humans Fuzzy control Nonlinear control systems Nonlinear systems predictive models Fuzzy sets Control system synthesis Fuzzy systems Systems engineering and theory

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the industrial application of the irregular 3D-objects image processing in the compact reverse engineering system 9th

引用

9th international conference on Computer Analysis of Images and Patterns, CAIP 2001

作者： Svirsky, Dmitry Polozkov, Yuri Dr. Ing. Science leader of the Computer Aided Design Centre at Vitebsk State Technological University 72 Moskovsky ave Vitebsk210035 Belarus Post-grad. of Vitebsk State Technological University 72 Moskovsky ave Vitebsk210035 Belarus

ISBN: (纸本)9783540425137

the problems of irregular 3D-objects manufacturing preparation are considered. the irregular surfaces digitizing process by video system is offered. the mathematical models of video digitizing process and software basic stages for computer 3D-models creation are shown. the forming of the computer 3Dmodels from video image as one from main stages of irregular 3D-objects compact reverse manufacturing is considered. the video system assubsystem of Compact Reverse engineering System (CRES) is offered. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Reverse engineering

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Assessing the predictive accuracy of complex simulation models

Assessing the predictive accuracy of complex simulation mode...

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conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： T. Ross V. Kreinovich C. Joslyn Center for Autonomous Control Engineering University of New Mexico Albuquerque NM USA Department of Computer Science University of Texas at El Paso El Paso TX D-Division Los Alamos National Labs Los Alamos NM USA

predictive accuracy is the sum of two kinds of uncertainty-natural variability and modeling uncertainty. this paper addresses the quantification of predictive accuracy of complex simulation models from two perspectives. First, it recognizes that there is a difference between variability and modeling uncertainty; the former can not be reduced with more test information, while the latter can. We suggest that variability is a natural form of uncertainty that can be quantified with probability theory, but that modeling uncertainty is a form that is better addressed by a theoretical foundation that is not based on random variables, but rather random intervals. We suggest possibility theory as the formalism to address modeling uncertainty. the paper discusses the two different methods, and illustrates the power of their integration to address predictive accuracy with a recent case study involving the crushing load of axially loaded metallic spheres.

关键词： predictive models Accuracy Uncertainty Computational modeling Possibility theory Computer simulation Computer science Testing Random variables Power system modeling

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Long term prediction of Tehran price index (TEPIX) using neural networks

Long term prediction of Tehran price index (TEPIX) using neu...

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conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： H. Khaloozadeh A.K. Sedigh Faculty of Engineering Ferdowsi University of Mashhad Mashad Iran Department of Electrical Engineering K.N. Toosi University of Technology Tehran Iran

It has been previously shown that the dynamics governing the share prices in Tehran Stock Exchange can be considered as a chaotic time series. Due to the initial sensitivity of the price generating process, it is shown that linear classical models such as ARIMA and ARCH are not able to efficiently model the dynamic of share prices in Tehran stock exchange for long term prediction purposes. However, non-linear neural network models are proposed to model the Tehran price index (TEPIX) daily data process and it is shown that such nonlinear models can successfully be used for the long term prediction of TEPIX daily data. Real data for the period of 1996 to 1999 are used to validate the prediction results.

关键词： Neural networks predictive models Stock markets Share prices Chaos Time series analysis White noise Linear regression Economic forecasting Random variables

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Fuzzy rule interpolation for multidimensional input space with petroleum engineering application

Fuzzy rule interpolation for multidimensional input space wi...

引用

conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： Kok Wai Wong T.D. Gedeon School of Information Technology Murdoch University Murdoch WA Australia

Fuzzy rule based systems have been very popular in many engineering applications. In petroleum engineering, fuzzy rules are normally constructed using some fuzzy rule extraction techniques to establish the petrophysical property prediction model. However, when generating fuzzy rules from the available information, it may result in a sparse fuzzy rule base. the use of more than one input variable is also common in petroleum engineering. the paper examines the application of fuzzy interpolation to resolve problems using sparse fuzzy rule bases, and perform analysis of fuzzy interpolation in multidimensional input space.

关键词： Interpolation Multidimensional systems Petroleum Fuzzy sets Fuzzy systems Data mining Permeability predictive models Reservoirs Well logging

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Towards inductive support logic programming

Towards inductive support logic programming

引用

conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： J.F. Baldwin T.P. Martin Artificial Intelligence Group Department of Engineering Maths University of Bristol Bristol UK

Support logic programming and its practical implementation (Fril) integrates probabilistic and fuzzy uncertainty into logic programming using mass assignments. this paper presents a snapshot of current research, aimed at combining the best aspects of inductive logic programming with the uncertainty representation of Fril to create a sophisticated and novel approach to knowledge discovery. An example is given showing how a supported Fril rule can be extracted from uncertain Fril relations.

关键词： Logic programming Data mining Uncertainty Visual databases predictive models Artificial intelligence Humans Visualization Mathematics Aging

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