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IEEE International Symposium on Network computing and Applications

作者： Adam Manzanres Xiaojun Ruan Shu Yin Mais Nijim Wei Luo Xiao Qin Department of Computer Science and Software Engineering Aubum University Auburn AL USA School of Computing University of Southern Mississippi Hattiesburg MS USA China Ship Development and Design Center Wuhan Hubei China

Parallel disk systems consume a significant amount of energy due to the large number of disks. To design economically attractive and environmentally friendly parallel disk systems, in this paper we design and evaluate an energy-aware prefetching strategy for parallel disk systems consisting of a small number of buffer disks and large number of data disks. Using buffer disks to temporarily handle requests for data disks, we can keep data disks in the low-power mode as long as possible. Our prefetching algorithm aims to group many small idle periods in data disks to form large idle periods, which in turn allow data disks to remain in the standby state to save energy. To achieve this goal, we utilize buffer disks to aggressively fetch popular data from regular data disks into buffer disks, thereby putting data disks into the standby state for longer time intervals. A centrepiece in the prefetching mechanism is an energy-saving prediction model, based on which we implement the energy-saving calculation module that is invoked in the prefetching algorithm. We quantitatively compare our energy-aware prefetching mechanism against existing solutions, including the dynamic power management strategy. Experimental results confirm that the buffer-disk-based prefetching can significantly reduce energy consumption in parallel disk systems by up to 50 percent. In addition, we systematically investigate the energy efficiency impact that varying disk power parameters has on our prefetching algorithm.

关键词： Prefetching Power generation economics Economic forecasting Environmental economics Predictive models Power system modeling Energy management Power system management Energy consumption Energy efficiency

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Approach for measuring quality of Web services based on the superposition of uncertain factors

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Jisuanji Yanjiu yu Fazhan/Computer Research and Development 2009年第5期46卷 841-849页

作者： Yue, Kun Liu, Weiyi Wang, Xiaoling Li, Jin Department of Computer Science and Engineering School of Information Science and Engineering Yunnan University Kunming 650091 China Institute of Massive Computing Software Engineering Institute East China Normal University Shanghai 200062 China Department of Software Engineering School of Software Yunnan University Kunming 650091 China

As an important basis of Web services selection, discovery and composition, the quality of Web services is widely studied and has become a subject of intense debate in recent years. It is necessary to conquer the subjectivity of existing methods for measuring quality of Web services, depict the inherent uncertainties implied in service invocations and the mutual relationships among the deterministic factors. Therefore, invocation rate, success rate and efficiency are defined as three representative factors with respect to the quality of elementary Web services. By statistical computation of historical invocations on elementary services, the quantitative values of the above three factors can be obtained. In this paper, according to the basic ideas of evidence combination and evidence superposition, an approach is proposed to measure the quality of elementary Web services based on the superposition of the above uncertain factors. Based on the mean of corresponding qualities of elementary Web services, another approach is proposed for measuring higher-granularity services. Further, a method for determining priorities among Web services is given accordingly. The proposed methods are well consistent with people's intuition. Performance studies verify their efficiency, scalability and feasibility.

关键词： Web services

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Editorial: Video analysis and understanding for surveillance applications

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International Journal of Pattern Recognition and Artificial Intelligence 2009年第7期23卷 1221-1222页

作者： Wang, Liang Wu, Qiang Li, Ming Gonzàlez, Jordi Geng, Xin Department of Computer Science and Software Engineering University of Melbourne Parkville Melbourne VIC 3010 Australia School of Computing and Communications University of Technology Sydney Broadway NSW 2007 Australia School of Information Technology Deakin University 221 Burwood Highway Burwood VIC 3125 Australia Department of Computer Science Universitat Autònoma de Barcelona Spain School of Computer Science and Engineering Southeast University Nanjing 210096 China

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Crosscutting patterns and design stability: An exploratory analysis

Crosscutting patterns and design stability: An exploratory a...

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IEEE Workshop on Program Comprehension

作者： Eduardo Figueiredo Bruno Silva Claudio Sant'Anna Alessandro Garcia Jon Whittle Daltro Nunes Computing Department Lancaster University United Kingdom Institute of Informatics Federal University of Rio Grande do Sul Brazil Computer Science Department Federal University of Bahia (UFBA) Brazil Software Engineering Laboratory Catholic University of Rio de Janeiro Brazil

It is often claimed that inaccurate modularisation of crosscutting concerns hinders program comprehension and, as a consequence, leads to harmful software instabilities. However, recent studies have pointed out that crosscutting concerns are not always harmful to design stability. Hence, software maintainers would benefit from well documented patterns of crosscutting concerns and a better understanding about their actual impact on design stability. This paper presents a catalogue of crosscutting concern patterns recurrently observed in software systems. These patterns are described and classified based on an intuitive vocabulary that facilitates their recognition by software engineers. We analysed instances of the crosscutting patterns in object-oriented and aspect-oriented versions of three evolving programs. The outcomes of our exploratory evaluation indicated that: (i) a certain category of crosscutting patterns seems to be good indicator of harmful instabilities, and (ii) aspect-oriented solutions were unable to modularise concerns matching some crosscutting patterns.

关键词： Stability analysis Pattern analysis software systems software maintenance Scattering Informatics Computer science software engineering Laboratories Vocabulary

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An Improved OIF Elman Neural Network Model with Direction Profit Factor and Its Applications

An Improved OIF Elman Neural Network Model with Direction Pr...

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International Conference on Machine Vision (ICMV)

作者： Ming Li Limin Wang Yang Liu Ying Liu Qian Sun Xuming Han Department of Information Changchun Taxation College Changchun China School of Computing and Software Engineering Southern Polytechnic State University USA College of Computer Science and Technology Jilin University Changchun China Institute of Information and Spreading Engineering Changchun University of Technology Changchun China

Output-input feedback (OIF) Elman neural network is a dynamic feedback network. An improved model is proposed based on the OIF Elman neural network by introducing direction profit factor in this paper. Moreover, the proposed model is applied to forecast the composite index of stock. In addition, some comparisons are also made when the stock exchange is performed using prediction results from OIF Elman neural network. Simulation results show that the proposed model is feasible and effective in the finance field. It shows that the proposed model can not only improve the forecasting precision evidently and possess the characteristic of quick convergence but also provide a good reference tool for investors to obtain more profits.

关键词： Neural networks Predictive models Artificial neural networks Stock markets Neurofeedback State feedback Finance Machine vision Application software Computer networks

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Automated Design of Logic Circuits with a Increasable Evolution Approach

Automated Design of Logic Circuits with a Increasable Evolut...

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IEEE International Conference on High Performance computing and Communications (HPCC)

作者： Guoliang He Naixue Xiong Athanasios V. Vasilakos Yuanxiang Li Zhongzhi Shi State Key Laboratory of Software Engineering Wuhan University of China Wuhan China Key Laboratory of Intelligent Information Process Institute of Computing Technology Chinese Academy and Sciences Beijing China Department of Computer Science Georgia State University USA Department of Computer Science Saint Francis Xavier University Canada

Since the scalability of logic circuits is becoming larger and more complex, the auto-design is becoming more and more difficult. In order to improve automatic design and performance evaluation of logic circuits in efficiency and capability of optimization, multiobjective simulated annealing (MSA) based increasable evolution approach is designed to evolve logic circuits automatically with an extended matrix encoding method, which can be able to reflect the potential performance of a circuit and reduce the risk of deleting a circuit with a good developing potential during evolution is devised. In the process of evolution, each individual is renewedly associated to a corresponding objective in terms of a novel adaptive evaluation method at each generation. In experiments, complicated arithmetic circuits are designed to assess the performance of MSA against other algorithms. Results indicate that the proposed method could design logic circuits efficiently.

关键词： Logic circuits Encoding Hardware Scalability Circuit simulation Simulated annealing Genetic algorithms Laboratories Computer science Arithmetic

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Edge-enhancement EPMA Image Fusion Based on Directionlet Transform

Edge-enhancement EPMA Image Fusion Based on Directionlet Tra...

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International Symposium on Intelligent Information Technology Application, IITA

作者： Li Xiang He Yueshun Zhan Xuan Department of computing Nanjing University of Science and Technology of PLA Nanjing Jiangsu China Department of software engineering East China Institute of Technology Nan Chang Jiang Xi China Department of computing Nanjing University of Science & Technology Nan Jing Jiang Su China East China Institute of Technology Fuzhou Fujian CN East China University of Science and Technology Nanchang Jiangxi China East China Institute of Technology Nan Chang Jiang Xi China

The Directionlet is an anisotropic multi-direction method with perfect reconstruction and critical sampling based on lattice, and it has obvious advantages in image edges. Based on analysing different EPMA image features, this paper starts extracting edges based on integral lattice, setting corresponding windows to compare mean value and standard deviation, and then begin weighted fusion based on window features. The experiment shows that this method can better describe the edge properties, as well as has strong robustness, which is applied to EPMA image fusion with strong edge property.

关键词： Image fusion Image analysis Probes Scattering Lattices Information analysis Electron beams Anisotropic magnetoresistance Image reconstruction Surface topography

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AAAI 2008 workshop reports

AAAI 2008 workshop reports

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作者： Anand, Sarabjot Singh Bunescu, Razvan Carvcdho, Vitor Chomicki, Jan Conitzer, Vincent Cox, Michael T. Dignum, Virginia Dodds, Zachary Dredze, Mark Furcy, David Gabrilovich, Evgeniy Göker, Mehmet H. Guesgen, Hans Hirsh, Haym Jannach, Dietmar Junker, Ulrich Ketter, Wolfgang Kobsa, Alfred Koenig, Sven Lau, Tessa Lewis, Lundy Matson, Eric Metzler, Ted Mihalcea, Rada Mobasher, Bamshad Pineau, Joelle Poupart, Pascal Raja, Anita Ruml, Wheeler Sadeh, Norman Shani, Guy Shapiro, Daniel Smith, Trey Taylor, Matthew E. Wagstaff, Kiri Walsh, William Zhou, Rong Department of Computer Science University of Warwick United Kingdom School of Electrical Engineering and Computer Science Ohio University United States Microsoft Live Labs United States computer science and engineering University at Buffalo United States Computer science and economics Duke University United States Intelligent Computing group of BBN Technologies Utrecht University Netherlands Department of Computer science Harvey Mudd College United States University of Pennsylvania United States University of Wisconsin United States Yahoo Research PricewaterhouseCoopers Center for Advanced Research United States Department of Computer science School of Engineering and Advanced Technology Massey University New Zealand Departent of Computer science Rutgers University United States Department of Computer Science Dortmund University of Technology. Germany ILOG Rotterdam School of Management Erasmus University Netherlands Donald Bren School of Information and Computer Sciences University of California Irvine United States Depatrment of Computer science University of Southern California United States IBM Almaden Research Center United States Department of Computer Information Technology Southern New Hampshire University United States Computer and Information Technology Program College of Technology Purdue University United States Hughes Program for Religion and Science Dialogue Oklahoma City University United States Department of Computer Science and Engineering University of North Texas United States School of Computing DePaul University United States Department of Computer Science McGill University Canada School of Computer Science University of Waterloo Canada Department of Software and Information Systems University of North Carolina Charlotte United States University of New Hampshire United States Microsoft Research Institute for the Study of Learning and Expertise Applied Reactivity Inc. United States NASA Ames Research Center Carnegie Mellon University West

AAAI was pleased to present the AAAI-08 Workshop Program, held Sunday and Monday, July 13-14, in Chicago, Illinois, USA. The program included the following 15 workshops: Advancements in POMDP Solvers;AI Education Workshop Colloquium;Coordination, Organizations, Institutions, and Norms in Agent Systems, Enhanced Messaging;Human Implications of Human-Robot Interaction;Intelligent Techniques for Web Personalization and Recommender Systems;Metareasoning: Thinking about Thinking;Multidisciplinary Workshop on Advances in Preference Handling;Search in Artificial Intelligence and Robotics;Spatial and Temporal Reasoning;Trading Agent Design and Analysis;Transfer Learning for Complex Tasks;What Went Wrong and Why: Lessons from AI Research and Applications;and Wikipedia and Artificial Intelligence: An Evolving Synergy. Copyright © 2009, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Human robot interaction

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Reports of the AAAI 2009 spring symposia

Reports of the AAAI 2009 spring symposia

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作者： Bao, Jie Bojars, Uldis Choudhury, Tanzeem Ding, Li Greaves, Mark Kapoor, Ashish Louchart, Sandy Mehta, Manish Nebel, Bernhard Nirenburg, Sergei Oates, Tim Roberts, David L. Sanfilippo, Antonio Stojanovic, Nenad Stubbs, Kristen Thomaz, Andrea L. Tsui, Katherine Woelfl, Stefan Tetherless World Constellation Rensselaer Polytechnic Institute United States Social Software Unit of DERI Galway Ireland Computer Science Department Dartmouth College United States Knowledge Systems at Vulcan Inc United States Adaptive Systems and Interaction Group Microsoft Research Redmond United States School for Mathematics and Computer Sciences Heriot-Watt University United Kingdom School ot Interactive Computing Georgia Institute of Technology United States Department of Computer Science University of Freiburg Germany Computer Science and Electrical Engineering Department University of Maryland Baltimore County United States Pacific Northwest National Laboratory Richland WA United States University of Karlsruhe Germany IRobot Corporation United States University of Massachusetts Lowell United States

The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University's department of Computer science, was pleased to present the 2009 Spring Symposium Series, held Monday through Wednesday, March 23-25, 2009, at Stanford University. The titles of the nine symposia were Agents That Learn from Human Teachers, Benchmarking of Qualitative Spatial and Temporal Reasoning Systems, Experimental Design for Real- World Systems, Human Behavior Modeling, Intelligent Event Processing, Intelligent Narrative Technologies II, Learning by Reading and Learning to Read, Social Semantic Web: Where Web 2.0 Meets Web 3.0, and Technosocial Predictive Analytics. The goal of the Agents That Learn from Human Teachers symposium was to investigate how we can enable software and robotics agents to leam from real-time interaction with an everyday human partner. The aim of the Benchmarking of Qualitative Spatial and Temporal Reasoning Systems symposium was to initiate the development of a problem repository in the field of qualitative spatial and temporal reasoning and identify a graded set of challenges for future midterm and long-term research. The Experimental Design symposium discussed the challenges of evaluating AI systems. The Human Behavior Modeling symposium explored reasoning methods for understanding various aspects of human behavior, especially in the context of designing intelligent systems that interact with humans. The Intelligent Event Processing symposium discussed the need for more Al-based approaches in event pro-cessing and defined a kind of research agenda for the field, coined as intelligent complex event processing (iCEP). The Intelligent Narrative Technologies IIAAAI symposium discussed innovations, progress, and novel techniques in the research domain. The Learning by Reading and Learning to Read symposium explored two aspects of making natural language texts semantically accessible to, and processable by, machines. The Social Semantic

关键词： Benchmarking

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Quantitative determination of protein content in chocolates using near infrared reflectance spectroscopy with GSVR method

Quantitative determination of protein content in chocolates ...

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IEEE International Conference on Robotics and Biomimetics

作者： Qiao Gao Bin Zhang Lei Deng Xinyu Wu Yun Xu Yangsheng Xu School of Software/National High Performance Computing Center (Hefei) University of Science and Technology Hefei Anhui China Shenzhen Institute of Advanced Integration Technology Chinese Academy and Sciences Shenzhen Guangdong China Department of Mechanical and Automation Engineering Chinese University of Hong Kong New Territories Hong Kong China

This article utilizes near infrared reflectance spectroscopy (NIRS) technology to quantificationally analyze protein content of chocolate, using genetic support vector regression (GSVR) to build spectrum calibration model. GSVR first adopts genetic algorithm to select the efficiency wavelength regions, and then applies linear support vector regression (SVR) to establish a calibration model with the chosen wavelength regions. At the same time SVR method is used to make calibration model for whole spectrum as comparison. 160 samples of 8 typical varieties of chocolates are selected in the experiment. 128 samples are used to train and the remainders are predicting samples. 12 GSVR calibration models and a SVR calibration model with the whole spectrum region are established, and all GSVR models' root mean square error in cross validation (RMSECV) and correlative coefficient ( r ) are better than SVR model's. The best GSVR model, whose RMSECV and r are 0.9767, 0.2565, respectively, is picked out among 12 models as final calibration model. In the predicting process, the GSVR model, whose root mean square error (RMSE) and mean error are 0.2454, 0.1968, respectively, is more robust in contrast to SVR whose RMSE and mean error are 0.2933, 0.2165, respectively.

关键词： Proteins Infrared spectra Reflectivity Spectroscopy Calibration Predictive models Vectors Root mean square Genetic algorithms Robustness

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