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15th Text REtrieval Conference, TREC 2006

作者： Wan, Raymond Anh, Vo Ngoc Takigawa, Ichigaku Mamitsuka, Hiroshi Institute for Chemical Research Bioinformatics Center Kyoto University Gokasho Uji 611-0011 Japan Department of Computer Science and Software Engineering University of Melbourne VIC 3010 Australia

This report summarizes the work done at Kyoto University and the University of Melbourne for the TREC 2006 Genomics Track. The single task for this year was to retrieve passages from a biomedical document collection. We devised a system made of two parts to deal with this problem. The first part was an existing IR system based on the vector-space model. The second part was a newly developed probabilistic word-based aspect model for identifying passages within relevant documents (or paragraphs).

关键词： Genome

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An ontology-based architecture for tracking information across interactive electronic environments

An ontology-based architecture for tracking information acro...

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39th Annual Hawaii International Conference on System sciences, HICSS'06

作者： Scharl, Arno Weichselbraun, Albert Liu, Wei Know-Center Institute of Knowledge Management Graz University of Technology Department of Information Systems and Operations Vienna University of Economics and Business Administration School of Computer Science and Software Engineering University of Western Australia

ISBN: (纸本)0769525075

This paper presents technical foundation, roadmap and initial results of the IDIOM project (Information Diffusion across Interactive Online Media). Information spreads rapidly across Web sites, Web logs and online forums. IDIOM tracks this process and compares it to direct communication through electronic mail and instant messaging. Linguists define "idiom" as an expression whose meaning is different from the literal meanings of its component words. Similarly, the study of information diffusion promises insights that cannot be inferred from individual network elements. Similar projects often focus on particular media, or neglect important aspects of the human language. IDIOM addresses these gaps to reveal fundamental mechanisms of information diffusion across media with distinct interactive characteristics. © 2006 IEEE.

关键词： Electronic equipment

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Business-oriented software process improvement based on CMM using QFD

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software Process Improvement and Practice 2006年第6期11卷 573-589页

作者： Liu, Xiaoqing Sun, Yan Kane, Gautam Kyoya, Yuji Noguchi, Kunio University of Missouri Computer Science Department Rolla United States Software Engineering Center Toshiba Corporation Japan

The Capability Maturity Model (CMM) from the software engineering Institute has been used successfully by many organizations for software Process Improvement (SPI). Despite its great success, there exists a disconnect between business goals and maturity levels. A new framework using Quality Function Deployment (QFD) has been developed to deal with this problem. This framework serves three purposes: (i) it establishes a connection between requirements from the business and Key Process Areas (KPAs) in CMM;(ii) it proposes a methodology for the priority assessment of requirements from multiple perspectives;and (iii) it helps identify a set of software process improvement actions based on business requirements and KPAs. Copyright © 2006 John Wiley & Sons, Ltd.

关键词： software engineering

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Is systems engineering for "systems of systems" really any different?

Is systems engineering for "systems of systems" really any d...

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16th Annual International Symposium of the International Council on Systems engineering, INCOSE 2006

作者： Boehm, Barry Abbott, Russell Ferris, Timothy Long, James Pohlmann, Larry Sheard, Sarah Third Millennium Systems LLC United States Strategics Consulting United States Vitech Corporation France Systems Engineering and Evaluation Centre University of South Australia Australia Department of Computer Science California State University Los Angeles United States Computer Science Department University of Southern California USC Center for Software Engineering United States

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JAAT: Java alias analysis tool for program maintenance activities

JAAT: Java alias analysis tool for program maintenance activ...

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International Symposium on Object-Oriented Real-Time Distributed Computing

作者： F. Ohata K. Inoue Toshiba Software Engineering Center Kawasaki Japan Department of Computer Science Osaka University Osaka Japan

Alias analysis is a method for extracting sets of expressions which may possibly refer to the same memory locations during program execution. Although many researchers have already proposed analysis methods for the purpose of program optimization, difficulties still remain in applying such methods to practical software engineering tools in the sense of precision, extensibility and scalability. Focusing mainly on a practical use for program maintenance activities such as program debugging and understanding, we propose an alias analysis method for object-oriented programs and discuss our implementation. Using this method, we have developed a tool named JAAT. Our proposed method employs a two-phase, on-demand, and instance-based algorithm, in which intra-class analysis is done in phase 1 for whole programs and libraries, and inter-class analysis is done in phase 2 only for a user-demanded target. JAAT can analyze large programs or libraries such as JDK class library. Also, JAAT includes various features for program maintenance activities, such as GUI for displaying aliases, and an XML database for storing analysis information

关键词： Java Libraries Algorithm design and analysis Optimization methods software engineering Scalability Debugging Graphical user interfaces XML Spatial databases

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UML-based service robot software development: A case study

UML-based service robot software development: A case study

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28th International Conference on software engineering 2006, ICSE '06

作者： Kim, Minseong Kim, Suntae Park, Sooyong Choi, Mun-Taek Kim, Munsang Gomaa, Hassan Department of Computer Science Sogang University Seoul Korea Republic of Center for Intelligent Robotics Frontier 21 Program Korea Institute of Science and Technology Seoul Korea Republic of Dept. of Information and Software Engineering George Mason University Fairfax VA 22030 United States

ISBN: (纸本)1595933751

The research field of Intelligent Service Robots, which has become more and more popular over the last years, covers a wide range of applications from climbing machines for cleaning large storefronts to robotic assistance for disabled or elderly people. When developing service robot software, it is a challenging problem to design the robot architecture by carefully considering user needs and requirements, implement robot application components based on the architecture, and integrate these components in a systematic and comprehensive way for maintainability and reusability. Furthermore, it becomes more difficult to communicate among development teams and with others when many engineers from different teams participate in developing the service robot. To solve these problems, we applied the COMET design method, which uses the industry-standard UML notation, to developing the software of an intelligent service robot for the elderly, called T-Rot, under development at center for Intelligent Robotics (CIR). In this paper, we discuss our experiences with the project in which we successfully addressed these problems and developed the autonomous navigation system of the robot with the COMET/UML method. Copyright 2006 ACM.

关键词： Intelligent robots

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software Requirements Retrieval Using Use Case Terms and Structure Similarity Computation

Software Requirements Retrieval Using Use Case Terms and Str...

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Asia-Pacific Conference on software engineering

作者： Akadej Udomchaiporn Nakornthip Prompoon Pizzanu Kanongchaiyos Department of Mathematics and Computer Science Faculty of Science King Mongkut''s Institute of Technology Ladkrabang Thailand Center of Excellent in Software Engineering Department of Computer Engineering Faculty of Engineering Chulalongkom University Thailand

For a large scale of software development, there is a tremendous number of software requirements documents in a collection which may be produced for different domains by different developer teams. They may be later reused to reduce cost and time for the next development. Thus, there is a need to retrieve ones that meet user's need efficiently. This paper presents an approach for software requirements specification retrieval in a form of use case description using use case structure and similarity computation between terms of use case query and use cases in the collection. The contribution of the paper has five main points; 1) the approach for retrieving use case description is proposed, 2) the developed tool supporting the approach is presented, 3) the experiment is designed to measure effectiveness of the approach, 4) the results of the experiment are shown to compare effectiveness of the approach to that of a general approach, and finally 5) the recommended use case description query template is proposed.

关键词： Programming Costs Unified modeling language software engineering Production software quality Mathematics computer science Large-scale systems software systems

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A Genetic Binary Particle Swarm Optimization Model

A Genetic Binary Particle Swarm Optimization Model

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Congress on Evolutionary Computation

作者： J. Sadri C.Y. Suen CENPARMI (Center for Pattern Recognition and Machine Intelligence) Computer Science and Software Enginneering Concordia University Montreal West QUE Canada Computer Science and Software Engineering Department Concordia University Montreal QUE Canada

In this paper, a genetic binary particle swarm optimization (GBPSO) model is proposed, and its performance is compared with the regular binary particle swarm optimizer (PSO), introduced by Kennedy and Eberhart. In the original model, the size of the swarm was fixed. In our model, we introduce birth and death operations in order to make the population very dynamic. Since birth and mortality rates change naturally with time, our model allows oscillations in the size of the population. Compared to the original PSO model, and genetic algorithms, our strategy proposes a more natural simulation of the social behavior of intelligent animals. The experimental results show that compared to original PSO, our GBPSO model can reach broader domains in the search space and converge faster in very high dimensional and complex environments.

关键词： Particle swarm optimization Multidimensional systems computer science software engineering Java Genetic algorithms Animals Adaptive algorithm Birds Educational institutions

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A New Clustering Method for Improving Plasticity and Stability in Handwritten Character Recognition Systems

A New Clustering Method for Improving Plasticity and Stabili...

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International Conference on Pattern Recognition

作者： J. Sadri C.Y. Suen T.D. Bui CENPARMI Center for Pattern Recognition and Machine Intelligence Computer Science and Software Engineering Department Concordia University Montreal QUE Canada

This paper presents a new online clustering algorithm in order to improve plasticity and stability in handwritten character recognition systems. Our clustering algorithm is able to automatically determine the optimal number of clusters in the input data. An incremental learning technique similar to adaptive resonance theory (ART) is used to determine the best cluster for new data. Our technique also allows the previously learned clusters to be merged whenever the newly arrived data points push their centers close together. We also developed new features and similarity measures in order to describe and compare the shapes of handwritten digits to be used in our clustering algorithm. Results of our algorithm on clustering the shapes of the handwritten numerals from the CENPARMI isolated digit database are shown. Our method can incrementally learn new handwriting styles of digits, without forgetting the previous ones, therefore it can improve plasticity and stability

关键词： Clustering methods Stability Character recognition Shape measurement Clustering algorithms Prototypes Machine learning Pattern recognition Subspace constraints Neural networks

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Optimal evolutionary computational parameters for habitat structures optimization

Optimal evolutionary computational parameters for habitat st...

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Earth and Space 2006 - 10th Biennial International Conference on engineering, Construction, and Operations in Challenging Environments

作者： Hull, Patrick V. Sansoucie, Michael Dozier, Gerry Tinker, Mike NASA Marshall Space Flight Center Spacecraft and Vehicle Systems Dept./EV11 Huntsville AL 35812 United States Applied Computational Intelligence Lab. Department of Computer Science Amd Software Engineering Auburn University Auburn AL 36849-5347

ISBN: (纸本)0784408300

Long-duration surface missions to the Moon and Mars will require bases to accommodate habitats for the astronauts, as well as indoor laboratory facilities, in-situ resource plants, power plants, and scientific/surface mobility equipment. Transporting the materials and equipment required to build the necessary habitats would be costly and difficult. However, the use of planetary resources to produce construction materials, or even as naturally found (such as lunar regolith utilized as an outer layer for radiation shielding, or regolith in bags as wall structure), could drastically reduce the upmass for habitats. The materials chosen for the habitat walls play a direct role in protection against each of the mentioned hazards. Choosing the best materials, their configuration, and the amount required is extremely difficult due to the immense size of the design region. For example a 3-layer habitat wall created from 20 possible materials all with varying thicknesses would have #number of layers(possible material types)∧(possible thicknesses) = 320∧inf possible solutions. Clearly, an optimization method is warranted for habitat wall design. Standard optimization techniques are not suitable for problems with such large search spaces. To overcome the large search regions, a habitat wall design tool using genetic algorithms has been developed. GAs use a "survival of the fittest" philosophy, where the most fit individuals are more likely to survive and reproduce, therefore transmitting their genes to the next generation. This paper focuses on finding optimal GA parameters for the habitat optimization tool. This tool is a multiobjective formulation of structural analysis, heat loss, radiation, and meteoroid protection. Some of the constraint calculations (i.e. safety factor, deflection, and heat loss) require long computation times. Even though each material has a designated thickness range, the number of different values within that range is near infinite;therefore, the searc

关键词： Lunar missions

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