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UML profiles for design decisions and non-functional requirements

UML profiles for design decisions and non-functional require...

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ICSE 2007 Workshops:Second Workshop on SHAring and Reusing architectural Knowledge Architecture, Rationale, and Design Intent, SHARK-ADI'07

作者： Zhu, Liming Gorton, Ian Empirical Software Engineering Program National ICT Australia Ltd. School of Computer Science and Engineering University of New South Wales Pacific Northwest National Laboratory United States

ISBN: (纸本)0769529518

A software architecture is composed of a collection of design decisions. Each design decision helps or hinders certain Non-Functional Requirements (NFR). Current software architecture views focus on expressing components and connectors in the system. Design decisions and their relationships with non-functional requirements are often captured in separate design documentation, not explicitly expressed in any views. This disassociation makes architecture comprehension and architecture evolution harder. In this paper, we propose a UML profile for modeling design decisions and an associated UML profile for modeling non-functional requirements in a generic way. The two UML profiles treat design decisions and nonfunctional requirements as first-class elements. Modeled design decisions always refer to existing architectural elements and thus maintain traceability between the two. We provide a mechanism for checking consistency over this traceability. An exemplar is given as a way to demonstrate the feasibility of our approach. © 2007 IEEE.

关键词： Unified Modeling Language

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Generalized evidence pre-propagated importance sampling for hybrid bayesian networks

Generalized evidence pre-propagated importance sampling for ...

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AAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference

作者： Yuan, Changhe Druzdzel, Marek J. Department of Computer Science and Engineering Mississippi State University Mississippi State MS 39762 Intelligent Systems Program School of Information Sciences University of Pittsburgh Pittsburgh PA 15260

ISBN: (纸本)1577353234

In this paper, we first provide a new theoretical understanding of the Evidence Pre-propagated Importance Sampling algorithm (EPIS-BN) (Yuan & Druzdzel 2003;2006b) and show that its importance function minimizes the KL-divergence between the function itself and the exact posterior probability distribution in Polytrees. We then generalize the method to deal with inference in general hybrid Bayesian networks consisting of deterministic equations and arbitrary probability distributions. Using a novel technique called soft arc reversal, the new algorithm can also handle evidential reasoning with observed deterministic variables. Copyright © 2007, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Bayesian networks

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Finding cancer-related gene combinations using a molecular evolutionary algorithm

Finding cancer-related gene combinations using a molecular e...

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7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE

作者： Park, Chan-Hoon Kim, Soo-Jin Kim, Sun Cho, Dong-Yeon Zhang, Byoung-Tak School of Computer Science and Engineering Seoul National University Seoul 151-742 Korea Republic of Graduate Program in Bioinformatics Seoul National University Seoul 151-742 Korea Republic of

ISBN: (纸本)1424415098

High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. Computational methods boost the microarray analysis by managing large and complex data systematically. However, combinatorial interactions among genes have not been considered as a unit of the analysis since previous methods mainly focus on a whole gene or a single isolated gene. Here, we introduce a molecular evolutionary algorithm called probabilistic library model (PLM). In the PLM, library elements are generated from gene combinations. An evolutionary procedure is adopted to learn the probabilistic distribution of training samples. We apply the PLM to prostate cancer microarray data. The experimental results show that the PLM classifiers perform better than conventional methods such as neural networks and decision trees in accuracy. We also examine the evolved library to find cancer-related gene combinations. ©2007 IEEE.

关键词： Microarrays

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City traffic simulator using geographical information systems and agent-based simulation

City traffic simulator using geographical information system...

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3rd IET International Conference on Intelligent Environments, IE'07

作者： Zhang, Haiyi Farias, Oscar L. M. De Jodrey School of Computer Science Acadia University Wolfville NC Canada 2 Post-Graduation Program in Computer Engineering Rio de Janeiro State University Rua São Francisco Xavier 524 bloco D sala 5028 Brazil

ISBN: (纸本)9780863418532

In this paper we explore the integration among Geographical Information Systems (GIS) and Agent Based Simulation Tools. An Agent-Based Geographical Information System (ABGIS) could be characterized as a kind of system integrating features commonly found in Geographical Information System with the features of Agent-Based Simulation Tools. ABGIS would give to scientists and researches, not necessarily computer experts, access to powerful simulation tools and an environment that is an excellent metaphor to represent our spatio-temporal world. With ABGIS we could explore the dynamics of spatiotemporal systems, and particularly but not exclusively, complex systems.

关键词： Information systems

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Trends and precedents favoring a regulatory embrace of smart radio technologies

Trends and precedents favoring a regulatory embrace of smart...

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2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, DySpan 2007

作者： Bernthal, J. Brad Brown, Timothy X. Hatfield, Dale N. Sicker, Douglas C. Tenhula, Peter A. Weiser, Philip J. Interdisciplinary Telecommunication Program Law School University of Colorado Boulder United States Interdisciplinary Telecommunication Program Electrical and Computer Engineering Department University of Colorado Boulder United States Interdisciplinary Telecommunication Program University of Colorado Boulder United States Department of Computer Science Interdisciplinary Telecommunication Program University of Colorado Boulder United States Shared Spectrum Company Vienna VA United States

ISBN: (纸本)1424406633

Burgeoning demands for communications bandwidth stress the abilities of military and civil spectrum managers to provide needed access to spectrum resources while taking appropriate measures to avoid causing harmful interference to legacy users. Empirical analysis shows that radio frequency (RF) bandwidth is often available: measurement data indicate that while most channels are used at some times, most channels remain unused at any given time. Going forward, so-called "smart radio" technologies will be able to exploit these holes in the RF spectrum and will play a crucial role in achieving the core objectives of efficient spectrum management. The United States Defense Advanced Research Projects Agency's ("DARPA") NeXt Generation Communications program ("XG") is on the vanguard of smart radio innovations. In particular, XG technology uses automated intelligence at a system's edges in order to navigate real-time fluctuations in spectral conditions that cannot be precisely predicted in advance. This dynamism will enable opportunistic use of intermittently available spectrum. This paper examines how the introduction of smart radio technologies fit within past precedents and current regulatory developments involving shared use of spectrum resources. The key finding is that implementation of smart radios in the near term would represent an incremental policy step that is consistent with policy trends and recent regulatory actions. Two perspectives militate in favor of this conclusion. First, smart radio systems enable regulators and spectrum managers to more efficiently achieve long-held policy and spectrum management objectives. And second, the regulatory prospects of smart radios are further buoyed by contemporary examples of approved technologies and sharing methods that are modest precursors to XG. Case studies are used to underscore that while smart radios promote vast gains in spectrum accessibility and interference avoidance, implementation of smart radio systems f

关键词： Radio communication

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Evolving hypernetwork classifiers for microRNA expression profile analysis

Evolving hypernetwork classifiers for microRNA expression pr...

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2007 IEEE Congress on Evolutionary Computation, CEC 2007

作者： Kim, Sun Kim, Soo-Jin Zhang, Byoung-Tak Center for Bioinformatics Technology Graduate Program in Bioinformatics Seoul National University Seoul 151-742 Korea Republic of School of Computer Science and Engineering Seoul National University Seoul 151-744 Korea Republic of

ISBN: (纸本)1424413400

High-throughput microarrays inform us on different outlooks of the molecular mechanisms underlying the function of cells and organisms. While computational analysis for the microarrays show good performance, it is still difficult to infer modules of multiple co-regulated genes. Here, we present a novel classification method to identify the gene modules associated with cancers from microarray data. The proposed approach is based on 'hypernetworks', a hypergraph model consisting of vertices and weighted hyperedges. The hypernetwork model is inspired by biological networks and its learning process is suitable for identifying interacting gene modules. Applied to the analysis of microRNA (miRNA) expression profiles on multiple human cancers, the hypernetwork classifiers identified cancer-related miRNA modules. The results show that our method performs better than decision trees and naive Bayes. The biological meaning of the discovered miRNA modules has been examined by literature search. © 2007 IEEE.

关键词： Microarrays

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The Women in science and engineering (WiSE) program at the University of Southern California: Achievements and challenges of the first five years

The Women in Science and Engineering (WiSE) program at the U...

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114th Annual ASEE Conference and Exposition, 2007

作者： Hawkes, Nicole Morrison, Jean Raghavendra, Cauligi WiSE University of Southern California United States University of Southern California United States Program University of Southern California United States Department of Earth Sciences Program USC Viterbi School of Engineering United States Departments of Electrical Engineering-Systems and Computer Science University of Southern California United States

The establishment of the Women in science and engineering (WiSE) program represents the serious commitment of the University of Southern California to address the under-representation of women in science and engineering. Since the launch of the program in 2000, WiSE has helped to more than double the number of tenured and tenure-track women faculty at USC from 15 to 35, through its recruitment and retention programs. Its complimentary programs to support undergraduates, graduate students, and postdoctoral scholars through a range of financial awards and activities have also grown in scope and impact. This paper describes the programs developed and administered by WiSE, the perceived successes to date, the challenges that remain, and the future directions of the program to ensure continued progress toward gender equity in science and engineering at USC. Through an analysis of the WiSE program at USC, we hope to present a model from which others can draw on to tackle the same issues at their own institutions. © American Society for engineering Education, 2007.

关键词： engineering education

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Importance sampling for general hybrid Bayesian networks

Importance sampling for general hybrid Bayesian networks

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11th International Conference on Artificial Intelligence and Statistics, AISTATS 2007

作者： Yuan, Changhe Druzdzel, Marek J. Department of Computer Science and Engineering Mississippi State University Mississippi State MS 39762 United States Decision Systems Laboratory School of Information Sciences and Intelligent Systems Program University of Pittsburgh Pittsburgh PA 15260 United States

Some real problems are more naturally modeled by hybrid Bayesian networks that consist of mixtures of continuous and discrete variables with their interactions described by equations and continuous probability distributions. However, inference in such general hybrid models is hard. Therefore, existing approaches either only deal with special instances, such as Conditional Linear Gaussians (CLGs), or approximate a general model with a restricted version and then perform inference on the simpler model. However, results thus obtained highly depend on the quality of the approximations. This paper describes an importance sampling-based algorithm that directly deals with hybrid Bayesian networks constructed in the most general settings and guarantees to converge to the correct answers given enough time.

关键词： Importance sampling

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Poly-silicon quantum dot single electron transistors

Poly-silicon quantum dot single electron transistors

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International Symposium Semiconductor Device Research (ISDRS)

作者： Kwon-Chil Kang Sangwoo Kang Hong Sun Yang Seung-hwan Song Jinho Kim Jong Duk Lee Byung-Gook Park Interdisciplinary Program in Nano-Science and Technology And School of Electrical Engineering and Computer Science Seoul National University Seoul South Korea

For room temperature operation and reproducibility of single electron transistors (SETs), we propose a fabrication method of an SET with a self-aligned quantum dot. The quantum dot is formed by selective etch of a silicon nanowire on a planarized surface and subsequent deposition and etch-back of poly-silicon. The device is named as PQD-SET, i.e., poly-silicon quantum dot SET. PQD-SET shows clear Coulomb oscillation at room temperature.

关键词： Quantum dots Single electron transistors Fabrication Etching Silicon Electron devices Educational institutions Quantum computing Planarization Plasma applications

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Real-time recognition of traffic signs using opponent color filters

Real-time recognition of traffic signs using opponent color ...

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14th World Congress on Intelligent Transport Systems, ITS 2007

作者： Baba, Kyoko Hirai, Yuzo Master's Program in Graduate School of Systems and Information Engineering University of Tsukuba 1-1-1 Ten-nodai Tsukuba Ibaraki 305-8573 Japan Department of Computer Science Graduate School of Systems and Information Engineering University of Tsukuba 1-1-1 Ten-nodai Tsukuba Ibaraki 305-8573 Japan

ISBN: (纸本)9781617387777

In order to assist driver's vision, a real-time recognition system for traffic signs is proposed. After detecting sign candidates, biologically inspired opponent-color filters are used to extract symbol parts of signs. After normalizing the size of symbol, structural features are calculated to identify the sign. 5572 segmented images are used to design the algorithm. In a real-time system, the same sign in a sequence of frames is tracked, and a majority vote is used to integrate the recognition results. For test data, 93.8% recall rate and 99.3% precision rate could be attained. In-vehicle experiment also showed high recall and precision rates.

关键词： Traffic signs

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