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2009 International Conference on Computational Intelligence and software engineering, CiSE 2009

作者： Si, Huayou Ni, Yulin Yu, Lian Chen, Zhong Software Institute School of Electronics Engineering and Computer Science Peking University Beijing 100871 China Department of Information Engineering Zhejiang Forest University Lin'an 311300 China Key Laboratory of High Confidence Software Technologies Ministry of Education Beijing 100871 China School of Software and Microelectronics Peking University Beijing 102600 China

ISBN: (纸本)9781424445073

In the paper, we analyze the shortages of Service-Oriented Analysis and Design (SOAD) methodologies, and propose a SOAD method based on Use Case approach. Therefore, a service model is designed to facilitate service identification from Use Case script. Moreover, a process is provided as a guideline to aid an analyst to accomplish high-quality service identification with the method. By analyzing basic characteristics and an illustration of the method, we can conclude that the method has several strong points compared to other methods which are based on business process modeling and enterprise architecture. ©2009 IEEE.

关键词： Design

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A service-oriented analysis and design approach based on data flow diagram

A service-oriented analysis and design approach based on dat...

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2009 International Conference on Computational Intelligence and software engineering, CiSE 2009

作者： Zhao, Yun Si, Huayou Ni, Yulin Qi, Hengnian Department of Information Engineering Zhejiang Forest University Lin'an 311300 China Software Institute School of Electronics Engineering and Computer Science Peking University Beijing 100871 China Key Laboratory of High Confidence Software Technologies Ministry of Education Beijing 100871 China School of Software and Microelectronics Peking University Beijing 102600 China

ISBN: (纸本)9781424445073

In the paper, we analyze the shortages of Service-Oriented Analysis and Design (SOAD) methodologies, and then review the features of data flow diagram as a kind of requirement analysis technology. Finally, we propose an SOAD method using DFD diagram. Therefore, a process is provided as a guideline to aid analyst to accomplish high-quality service identification with the method. Through an illustration of the SOAD, we can conclude that the method has several strong points compared to methodologies else based on business process and enterprise architecture. ©2009 IEEE.

关键词： Information services

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Maximum values of Szeged index and edge-Szeged index of graphs

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Electronic Notes in Discrete Mathematics 2009年 34卷 405-409页

作者： Chiniforooshan, Ehsan Wu, Baoyindureng Department of Computer Science and Software Engineering Concordia University Montreal Que. H3G 1M8 Canada College of Mathematics and System Sciences Xinjiang University Urumqi Xinjiang 830046 China

The Szeged index is a graph invariant which is a natural generalization of Wiener index. In this note, we disprove two recent conjectures concerning with the maximum value of Szeged index of graphs, which are due to Khalifeh et al. (Europ. J. Combinatorics (2008), doi:10.1016/***.2008.09.019) and respectively, to Gutman et al. (Groat. Chem. Acta 81 (2)(2008) 263-266) and prove a conjecture on Szeged index due to Klavzar et al. ( Appl. Math. Lett. 9 (1996), 45-49), which states that the complete bipartite graph K_{⌈ frac(n, 2) ⌉, ⌈ frac(n, 2) ⌉} has maximum Szeged index among all connected graphs on n vertices. The last conjecture is previously proved by Dobrynin (Croat. Chem. Acta 70(3), 819-825), but our proof turns out to be much simpler and self-contained. Crown Copyright © 2009.

关键词： Szeged index Wiener index

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Relevance feedback of content-based image retrieval using support vector machine

Relevance feedback of content-based image retrieval using su...

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IEEE GCC Conference & Exhibition

作者： Ali Selamat Pei-Geok Lim Department of Software Engineering Faculty of Computer Science and Information System Universiti Teknologi Malaysia Malaysia

The rapid growth of computer technologies and the advent of the World Wide Web have increased the amount and the complexity of multimedia information. A content-based image retrieval (CBIR) system has been developed as an efficient image retrieval tool, whereby the user can provide their query to the system to allow it to retrieve the user's desired image from the image database. However, the traditional relevance feedback of CBIR has some limitations that will decrease the performance of the CBIR system, such as the imbalance of training-set problem, classification problem, limited information from user problem, and insufficient training-set problem. Therefore, in this study, we proposed an enhanced relevance-feedback method to support the user query based on the representative image selection and weight ranking of the images retrieved. The support vector machine (SVM) has been used to support the learning process to reduce the semantic gap between the user and the CBIR system. From these experiments, the proposed learning method has enabled users to improve their search results based on the performance of CBIR system. In addition, the experiments also proved that by solving the imbalance training set issue, the performance of CBIR could be improved.

关键词： Support vector machines Training Image retrieval Labeling Feature extraction Image color analysis

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Pathway-Based Microarray Analysis for Defining Statistical Significant Phenotype-Related Pathways: A Review of Common Approaches

Pathway-Based Microarray Analysis for Defining Statistical S...

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International Conference on Information Management and engineering, ICIME

作者： M.F. Misman S. Deris S.Z.M. Hashim R. Jumali M.S. Mohamad Artificial Intelligence and Bioinformatics Laboratory Department of Software Engineering Faculty of Computer Science and Information System Universiti Teknologi Malaysia Skudai Johor Malaysia

ISBN: (纸本)9781424437740

In this review, we have discussed about approaches in pathway based microarray analysis. Commonly, there are two approaches in pathway based analysis, Enrichment Score and Supervised Machine Learning. These pathway based approaches usually aim to statistically define significant pathways that related to phenotypes of interest. Firstly we discussed an overview of pathway based microarray analysis and its general flow processes in scoring the pathways, the methods applied in both approaches, advantages and limitations based on current researches, and pathways database used in pathway analysis. This review aim to provide better understanding about pathway based microarray analysis and its approaches.

关键词： Linear feedback shift registers Random number generation Shift registers Cryptography Random sequences Feedback circuits State feedback Flip-flops Information management computer science

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On maximum stability with enhanced scalability in high-churn DHT deployment

On maximum stability with enhanced scalability in high-churn...

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38th International Conference on Parallel Processing, ICPP-2009

作者： Xie, Junfeng Li, Zhenhua Chen, Guihai Wu, Jie State Key Laboratory for Novel Software Technology Nanjing University Nanjing 210093 China Department of Computer Science and Engineering Florida Atlantic University Boca Raton FL 33431 United States

ISBN: (纸本)9780769538020

When applied in a commercial deployment, DHTbased P2P protocols face a dilemma: Although most real-world participants are so unstable that the maintenance overhead is prohibitively high, they must be effectively utilized due to the lack of stable participants. Thus, determining how to leverage unstable nodes to enhance system scalability and then maximize stability in high-churn scenarios becomes a substantial problem. This paper focuses on this topic, and our main findings are two folds: 1) we propose a homogeneous grouping scheme for scalability enhancement. Besides extending system storage capacity by admitting all nodes, it clusters homogeneous nodes together, deploys the inter- and intra-group connections distinctively, and tunes the number of groups, which aims to facilitate search efficiency;2) we further look into how to maximize stability under this scheme, which is formulated as the problem Maximum Stability of Grouping. It not only proves to be NP-hard, but also infeasible;therefore, we propose an approximated grouping approach and reduce it to an optimization problem that proves to be feasible. Simulation results exhibit that our grouping strategy effectively captures the stability- scalability tradeoff. Based on our proposed measurement metrics, it doubles the storage capacity of so-called GiantOnly strategy by incurring slightly more churn and search latency, and is about four times as stable as Chord with equal capacity and mild improvement in search efficiency. © 2009 IEEE.

关键词： Scalability

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Reducing false alarms in software defect prediction by decision threshold optimization 09

Reducing false alarms in software defect prediction by decis...

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International Symposium on Empirical software engineering and Measurement, ESEM

作者： Ayse Tosun Ayse Bener Software Research Laboratory Computer Engineering Department Bogazici University Istanbul Turkey

ISBN: (纸本)9781424448425

software defect data has an imbalanced and highly skewed class distribution. The misclassification costs of two classes are not equal nor are known. It is critical to find the optimum bound, i.e. threshold, which would best separate defective and defect-free classes in software data. We have applied decision threshold optimization on Naiumlve Bayes classifier in order to find the optimum threshold for software defect data. ROC analyses show that decision threshold optimization significantly decreases false alarms (on the average by 11%) without changing probability of detection rates.

关键词： Sampling methods Costs software measurement software engineering software performance Nearest neighbor searches Performance analysis software systems Laboratories Distributed computing

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A Comparative Study on Automated software Test Oracle Methods

A Comparative Study on Automated Software Test Oracle Method...

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International Conference on software engineering Advances (ICSEA)

作者： Seyed Reza Shahamiri Wan Mohd Nasir Wan Kadir Siti Zaiton Mohd-Hashim Department of Software Engineering Faculty of Computer Science and Information System Universiti Teknologi Malaysia Skudai Malaysia

software testing has been used to find software faults in order to improve its quality. To verify the software behavior, testers require test oracle. Test oracle is a reliable source of expected software behavior that provides outputs for any input specified in the software specifications and a comparator to verify actual results. While test automation requires automated oracle support, oracle automation is considered as a challenging task. These challenges are from the automation required in expected output generation and results verification. This paper presents oracle activities and the challenges to prepare automated oracle. Then a comparative study of existing automated oracle and expected output generation methods is provided. Finally, a classification of these methods is suggested based on how these methods provide automated test oracle and the tool they used. The classification explains which oracle activities will be automated by the proposed approaches.

关键词： Automatic testing software testing Taxonomy Programming Costs Scheduling Sorting Databases Uncertainty Collaborative software

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An Intelligence Audio Watermarking Based on DWT- SVD Using ATS

An Intelligence Audio Watermarking Based on DWT- SVD Using A...

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GCIS, WRI Global Congress on Intelligent systems

作者： Sartid Vongpraphip Mahasak Ketcham Digital System Engineering Laboratory Department of Computer Engineering Faculty of Engineering Chulalongkom University Bangkok Thailand

All three, discrete wavelet transform (DWT)-singular value decomposition (SVD) and adaptive tabu search (ATS) have been used as mathematical tools for embedding data into an audio signal. In this paper, we present a new robust audio watermarking scheme based on DWT-SVD and ATS. After applying the DWT to the cover audio signal, we map the DWT coefficients, and apply the SVD, we search for the optimal intensity of audio watermarking by using the ATS. Experimental results show that the watermarking method performs well in both security and robustness to many digital signals processing, such as filtering, cropping, mp3 and random noise.

关键词： Watermarking Discrete wavelet transforms Data engineering Singular value decomposition Matrix decomposition Intelligent systems Data security Multimedia systems Internet Copyright protection

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Abstracts from the 2011 Joint Annual Meeting of the Society for Northwestern Vertebrate Biology and Washington Chapter of the Wildlife Society, Held at the Wesley Inn, Gig Harbor, Washington, March 23–25, 2011

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Northwestern Naturalist 2011年第2期92卷 136-166页

作者： Michael J. Adams Christopher A. Pearl Jessica Y. Adkins Daniel D. Roby Ladd Bayliss Peter J. Loschl Donald E. Lyons Yasuko Suzuki Hannah E. Anderson Sarah T. Hamman Keith B. Aubry Catherine M. Raley John J. Rohrer Eric C. Lofroth Scott H. Fitkin Michael L. Best Hartwell H. Welsh Jamie B. Bettaso Don T. Ashton Hartwell H. Welsh Scott McBain Lindsay M. Biga Andrew R. Blaustein Susan F. Brady R. Steven Wagner Daniel J. Selski James E. Johnson R. Bruce Bury Wynn W. Cudmore Hartwell H. Welsh Nathan D. Chelgren Tara Chestnut Chaucney W. Anderson Julie Kirshtein Megan T. Cook Tiffany S. Garcia Stephen Corn Erin Muths Amanda Kissel Rick Scherer Eric Delvin Jonathan D. Bakker Peter W. Dunwiddie Diana L. Dishman Deborah A. Duffield Harriet R. Huber Dyanna M. Lambourn Karen M. Dvornich Greg Falxa Gary M. Fellers Patrick M. Kleeman David Miller Brandon Fessler Jason T. Irwin Daniel D. Beck R. Steven Wagner Marc P. Hayes John A. Frew Christian E. Grue Chris R. Friesen Robert T. Mason Stevan J. Arnold Suzanne Estes Tiffany S. Garcia Katie M. Dugger Josh Johnson Mike Rochelle A. J. Kroll Stephanie S. Gervasi Caren S. Goldberg Dan Davis Erica Bree Rosenblum Bill Bosworth Lisette P. Waits Purnima Govindarajulu Gregory A. Green Steve Negri Jennifer R. Griffiths Daniel E. Schindler Christian E. Grue Karen M. Dvornich Adam G. Hansen David A. Beauchamp Casey M. Baldwin Marc P. Hayes Gretchen Padgett-Flohr Blake R. Hossack Winsor H. Lowe Paul Stephen Corn Aaron N. Johnston Kris Kendell Dave Prescott Scott Stevens Peter M. Kiffney Carol Volk Kerensa A. King Christian E. Grue James M. Grassley Andrew J. Kroll Matt Hane Josh Johnston Mike Rochelle Stuart Farber Niels Leuthold Michael J. Adams John P. Hayes Bo Li Michael T. Brett Kent B. Livezey Ilon E. Logan Teresa J. Lorenz Kimberly A. Sullivan Amanda V. Bakian Deanna Lynch Nancy Thomas Krysten Schuler Steven Jeffries Joshua Malt Kelly R. McAllister Joanne P. Schuett-Hames Aimee P. McIntyre Jay E. Jones Eric M. Lund Frithiof T. Waterstrat Jack N. Giovanini Stephen D. Duke Marc P. Hayes US Forest Service Pacific Northwest Research Station Olympia WA 98512 kaubry@fs.fed.us US Forest Service Okanogan-Wenatchee National Forest Methow Valley Ranger District Winthrop WA 98862 British Columbia Ministry of Environment Victoria BC V8W9M1 Washington Department of Fish and Wildlife Winthrop WA 98862 Humboldt State University 1 Harpst St. Arcata CA 95521 addsmike14@*** US Forest Service Pacific Southwest Research Station 1700 Bayside Dr. Arcata CA 95521 hwelsh@fs.fed.us US Fish and Wildlife Service Arcata Field Office 1655 Heindon Road Arcata CA 95521 jamie_bettaso@fws.gov Redwood Sciences Laboratory US Forest Service1700 Bayview Drive Arcata CA 99521 dashton@fs.fed.us hwelsh@fs.fed.us McBain &amp Trush 980 7th Street Arcata CA 95521 scott@*** Oregon State University Environmental Sciences Graduate Program Corvallis OR 97331 lindsay.biga@science.oregonstate.edu Oregon State University Department of Zoology Corvallis OR 97331 US Geological Survey Forest and Rangeland Ecosystem Science Center 3200 SW Jefferson Way Corvallis OR 97331 buryb@usgs.gov Life Science Department Chemeketa Community College Salem OR 97309 wynn.cudmore@chemeketa.edu US Forest Service Redwood Sciences Laboratory 1700 Bayview Drive Arcata CA 95521 hwelsh@fs.fed.us USGS Oregon Water Science Center 2130 SW 5th Avenue Portland OR 97207 chestnut@usgs.gov USGS Headquarters 12201 Sunrise Valley Drive Reston VA 20192 US Geological Survey Northern Rocky Mountain Science Center Aldo Leopold Wilderness Research Institute 790 E. Beckwith Avenue Missoula MT 59801 scorn@usgs.gov US Geological Survey Fort Collins Science Center 2150 Centre Avenue Building C Fort Collins CO 80526 Department of Biological Sciences Simon Fraser University Burnaby BC V5A 1S6 Colorado State University Department of Fishery and Wildlife Biology Fort Collins CO 80523 The Nature Conservancy 120 Union Ave SE Olympia WA 98501 edelvin@tnc.org School of Forest Resources University of Washington Seattle WA

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