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Polygonal mesh simplification with face color and boundary edge preservation using quadric error metric

Polygonal mesh simplification with face color and boundary e...

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International Symposium on Multimedia software engineering

作者： Chin-Shyurng Fahn Hung-Kuang Chen Yi-Haur Shiau Department of Computer Science and Information Engineering National Taiwan University of Science and Technology Taiwan Department of Electronic Engineering National Taiwan University of Science and Technology Taiwan Software and Development Division National Center of High-Performance Computing Taiwan

ISBN: (纸本)0769518575

In applications such as scientific and medical visualization, highly detailed polygonal meshes are needed. Rendering these polygonal meshes usually exceeds the capabilities of graphics hardware. To improve rendering efficiency and maintain proper interactivity, the polygonal mesh simplification technique is commonly used to reduce the number of polygons of the mesh and construct a multiresolution representation. We propose a new and simple constraint scheme based on the quadric error metric proposed by Garland and Heckbert (1997, 1998) to preserve face colors and boundary edges during the simplification process. In addition, our method generates progressive meshes that store the polygonal mesh in a continuous multi-resolution representation. According to our experimental results, this new method is successful in preserving face colors and boundary edges. Moreover, we compare the latency of resolution changes for progressive meshes of various models.

关键词： computer errors Frequency Error correction computer science Reactive power Mesh generation Data visualization Sampling methods Topology Geometry

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software inspection benchmarking-a qualitative and quantitative comparative opportunity

Software inspection benchmarking-a qualitative and quantitat...

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International Symposium on software Metrics

作者： C. Wohlin A. Aurum H. Petersson F. Shull M. Ciolkowski Department of Software Engineering and Computer Science Blekinge Institute of Technology Ronneby Sweden School of Information Systems Technology and Management University of New South Wales Sydney NSW Australia Department of Communication Syst Lund University Lund Sweden Fraunhofer USA Center for Experimental Software Engineering Maryland University of Maryland College Park MD USA Software Engineering Group University of Kaiserslautern Kaiserslautern Germany

software inspections are commonly used throughout the software industry, but there are still open questions about the relationship between inspection processes and inspection effectiveness. For example, which techniques work best in various environments? Are requirements specifications inspections and code inspections different in terms of effectiveness? What is the effectiveness in inspections for different group sizes? Benchmarking provides an opportunity to address such issues. This paper discusses how benchmarking may be applied for software inspections. The discussion is illustrated with an empirical study. It is shown how the data can be used to plan and manage software inspections. It is concluded that software inspections are well suited for benchmarking and that software practitioners as well as researchers can learn valuable lessons.

关键词： software quality Inspection Engines USA Councils Best practices Programming Program processors Quality management Australia Postal services

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Lessons learned from 25 years of process improvement: the rise and fall of the NASA software engineering laboratory

Lessons learned from 25 years of process improvement: the ri...

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International Conference on software engineering (ICSE)

作者： V.R. Basili F.E. McGarry R. Pajerski M.V. Zelkowitz Fraunhofer Center for Experimental Software Engineering College Park MD USA Department Computer Science & Institute for Advanced Computer Studies University of Maryland College Park MD USA Computer Science Corporation Lanham MD USA

For 25 years the NASA/GSFC software engineering Laboratory (SEL) has been a major resource in software process improvement activities. But due to a changing climate at NASA, agency reorganization, and budget cuts, the SEL has lost much of its impact. In this paper we describe the history of the SEL and give some lessons learned on what we did right, what we did wrong, and what others can learn from our experiences. We briefly describe the research that was conducted by the SEL, describe how we evolved our understanding of software process improvement, and provide a set of lessons learned and hypotheses that should enable future groups to learn from and improve on our quarter century of experiences.

关键词： NASA software engineering Laboratories Educational institutions computer science History Programming Permission Personnel software measurement

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A multi-level and multi-scale evolutionary modeling system for scientific data

A multi-level and multi-scale evolutionary modeling system f...

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International Joint Conference on Neural Networks (IJCNN)

作者： Zhou Kang Yan Li H. de Garis L.-S. Kang Computation Center Wuhan University Wuhan China State Key Laboratory of Software Engineering Wuhan University Wuhan China Computer Science Department Utah State University Logan Utah USA

The discovery of scientific laws is always built on the basis of scientific experiments and observed data. Any real world complex system must be controlled by some basic laws, including macroscopic level, submicroscopic level and microscopic level laws. How to discover its necessity-laws from these observed data is the most important task of data mining (DM) and KDD. Based on the evolutionary computation, this paper proposes a multilevel and multi-scale evolutionary modeling system which models the macro-behavior of the system by ordinary differential equations while models the micro-behavior of the system by natural fractals. This system can be used to model and predict the scientific observed time series, such as observed data of sunspot and precipitation of flood season, and always get good results.

关键词： Microscopy Fractals Predictive models Control systems Evolutionary computation Floods Time series analysis Differential equations Discrete wavelet transforms Laboratories

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Legal and policy questions for international collaboration in neuroscience

Legal and policy questions for international collaboration i...

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International Conference on Neural Information Processing

作者： P. Eckersley G. Egan Department of Computer Science & Software Engineering and Intellectual Property Research Institute of Australia University of Melbourne Australia Howard Florey Institute of Experimental Physiology & Medicine and Center for Neuroscience University of Melbourne Australia

The requirements for neuroinformatics to make a significant impact on the field of neuroscience as a whole are not simply technical - the hardware, software, and protocols for collaborative research - they also include the legal and policy frameworks within which research is conducted. This is not least because the creation of large collaborative scientific databases amplifies the complicated interactions between proprietary, for-profit R&D and public "open science". We draw on experiences from the field of bioinformatics to examine some of the likely consequences of these interactions in neuroscience. The widespread sharing of data and tools for neuroscientific research is a key step in the development of neuroinformatics. We consider some of the areas in which policy frameworks can facilitate these forms of collaboration, by easing legal and cultural barriers which have slowed developments to date.

关键词： Law Legal factors International collaboration Neuroscience Collaborative software Hardware Protocols Online Communities/Technical Collaboration Databases Research and development

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An extension of weighted strategy sharing in cooperative Q-learning for specialized agents

An extension of weighted strategy sharing in cooperative Q-l...

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International Conference on Neural Information Processing

作者： S.M. Eshgh M.N. Ahmadabadi School of Intelligent Systems Institute of Studies in Theoretical Physics and Mathematics Tehran Iran Control and Intelligent Processing Center of Excellence and Robotics Laboratory Department of Electrical and Computer Engineering University of Tehran Tehran Iran

Using other agents' experiences and knowledge, a learning agent may learn faster, make fewer mistakes, and create some rides for unseen situations. These benefits will be gained if the learning agents know the area of expertise and the expertness values of each other. In this paper, some Q-learning agents with different skills and expertness levels cooperate in learning. The agents use some criteria to judge others information and knowledge. Four expertness criterion, certainty and entropy measures are used to assign degrees of importance to others' Q-Tables. Effects of measuring these values based on their whole Q-Table, a portion of Q-Tables that reflects their proficiencies, and the states in Q-Tables on the learning quality are studied. Simple strategy sharing and two different weighted strategy-sharing methods are used to combine the acquired knowledge from different agents.

关键词： Intelligent robots Intelligent agent Process control Control systems Intelligent control Laboratories Intelligent systems Physics Mathematics Entropy

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Recurrent genetic programming

Recurrent genetic programming

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IEEE International Conference on Systems, Man and Cybernetics

作者： A. Teredesai V. Govindaraju E. Ratzlaff J. Subrahmonia Department of Computer Science and Engineering Center of Excellence for Document Analysis and Recognition State University of New York University at Buffalo Buffalo NY USA IBM Thomas J. Watson Research Center Yorktown Heights NY USA

A typical pattern recognition system consists of two stages: the pre-processing stage to extract features from the data, and the classification stage to assign the feature vector a class label. There are two kinds of feature extraction techniques with respect to the kind of data: the fixed number of features per sample generating a fixed length feature vector, and the fixed number of features per subsample generating a variable length feature vector due to variable number of sub-samples (frames) for each input pattern. The first kind is the most commonly used feature vector for classification methods. The second kind is usually extracted in domains where the input sample is time-variant. Traditionally a separate class of machine learning algorithms consisting of hidden Markov models, recurrent neural networks, etc. have been employed for classification of time variant signals. Evolutionary computation techniques like genetic algorithms and genetic programming have also been used previously to optimize the architecture for HMMs or learning the weights for recurrent-neural networks. We describe a recurrent framework for genetic programming (GP). This framework helps place GP in the class of machine learning algorithms alongside recurrent neural networks and hidden Markov models. We describe the application of recurrent genetic programming for the classification of on-line handwritten numerals obtained from tablet-based input.

关键词： Genetic programming Hidden Markov models Feature extraction Machine learning algorithms Recurrent neural networks Pattern recognition Data mining Evolutionary computation Genetic algorithms computer architecture

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Certainty and expertness-based credit assignment for cooperative Q-Learning agents with an AND-type task

Certainty and expertness-based credit assignment for coopera...

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International Conference on Neural Information Processing

作者： A. Harati M.N. Ahmadabadi School of Intelligent Systems Institute of Studies in Theoretical Physics and Mathematics Tehran Iran Control and Intelligent Processing Center of Excellence & AI and Robotics Laboratory Department of Electrical and Computer Engineering University of Tehran Tehran Iran

In multiagent reinforcement learning, inter-agent credit assignment is a fundamental problem, since a single scalar reinforcement signal is the only reliable feedback that teams of learning agents receive. This problem is more critical in groups of independent learners with a joint task. In this research, it is assumed that a critic agent receives the environment feedback and assigns a proper credit to each agent using some measures. Three of such measures for a team of cooperative agents with a parallel and AND-type task are introduced. These measures somehow compare the agents' knowledge. One of these criteria, called normal expertness, is a non-relative measure while two other ones (certainty and relative normal expertness) are relative measure. It is experimentally shown that relative measures work better as they contain more information for the critic agent.

关键词： Feedback Intelligent agent Intelligent robots Process control Control systems Intelligent control Artificial intelligence Robot kinematics Physics computing Reliability engineering

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The flow-service-quality framework: unified engineering for large-scale, adaptive systems

The flow-service-quality framework: unified engineering for ...

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Annual Hawaii International Conference on System Sciences (HICSS)

作者： A. Hevner R. Linger A. Sobel G. Walton Information Systems & Decision Sciences Department University of South Florida Tampa FL USA CERT Coordination Center Software Engineering Institute Carnegie Mellon University Pittsburgh PA USA Computer Science & Systems Analysis Department Miami University Oxford OH USA School of Electrical Engineering & Computer Science University of Central Florida Orlando FL USA

ISBN: (纸本)0769514359

Modern enterprises are irreversibly dependent on large-scale, adaptive, component-based information systems whose complexity frequently exceeds current engineering capabilities for intellectual control, resulting in persistent difficulties in system development, management, and evolution. We propose an innovative framework of engineering representation and reasoning methods for developing these complex systems: the flow-service-quality (FSQ) framework. In dynamic network information systems with constantly varying function and usage, workflows and their corresponding traces of system services act as stable foundations for functional and non functional (quality attribute) specification, design, and operational control. Our objective is to provide theoretical foundations, language representations, and rigorous yet practical unified engineering methods to represent and reason about system flows as essential artifacts of system specification, design, and operation.

关键词： Large-scale systems Adaptive systems Control systems Programmable control Adaptive control Management information systems Power system reliability Information systems computer science Centralized control

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Reliable message delivery for mobile agents: push or pull

Reliable message delivery for mobile agents: push or pull

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International Conference on Parallel and Distributed Systems (ICPADS)

作者： Jiannong Cao Xinyu Feng Jian Lu H. Chan S.K. Das Internet Computing and E-Commerce Lab Department of Computing Hong Kong Polytechnic University Kowloon Hong Kong China State Key Laboratory for Novel Software Technology Department of Computer Science Nanjing University Nanjing China Center for Research Wireless Mobility and Networking (CrewMan) Department of Computer Science and Engineering University of Technology Arlington TX USA

Two of the fundamental issues in message passing between mobile agents are tracking the migration of the target agent and delivering messages to it. In order to provide reliable message delivery, protocols are needed to overcome message loss caused by asynchronous operations of agent migration and message forwarding. In this paper, two message forwarding approaches, namely push and pull, are explored to design adaptive and reliable message delivery protocols. The pros and cons of these two approaches are evaluated, both qualitatively and quantitatively. The comparative performance evaluation is in terms of network traffic and delay in message processing. We also propose improvements to the pull approach to reduce network traffic and the message delay. We conclude that with different communication and migration patterns and requirements of real-time message processing, specific applications can select different message delivery approaches to achieve the desired level of performance and flexibility.

关键词： Mobile agents Target tracking Mobile communication Protocols computer science Telecommunication traffic Communication system security Relays Internet Laboratories

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