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作者： Agmon, Noa Agrawal, Vikas Aha, David W. Aloimonos, Yiannis Buckley, Donagh Doshi, Prashant Geib, Christopher Grasso, Floriana Green, Nancy Johnston, Benjamin Kaliski, Burt Kiekintveld, Christopher Law, Edith Lieberman, Henry Mengshoel, Ole J. Metzler, Ted Modayil, Joseph Oard, Douglas W. Onder, Nilufer O'Sullivan, Barry Pastra, Katerina Precup, Doina Ramachandran, Sowmya Reed, Chris Sariel-Talay, Sanem Selker, Ted Shastri, Lokendra Singh, Satinder Smith, Stephen F. Srivastava, Siddharth Sukthankar, Gita Uthus, David C. Williams, Mary-Anne Department of Computer Science University of Texas at Austin United States Center for Knowledge Driven Information Systems Infosys Labs India Adaptive Systems Section Naval Research Laboratory Washington DC United States Department of Computer Science University of Maryland College Park United States EMC's Center of Excellence in Ireland Research Europe at EMC Ireland Department of Computer Science University of Georgia United States School of Informatics University of Edinburgh United Kingdom Department of Computer Science University of Liverpool United Kingdom Department of Computer Science University of North Carolina Greensboro United States Faculty of Engineering and Information Technology University of Technology Sydney Australia VeriSign Inc. United States Department of Computer Science University of Texas at El Paso United States Machine Learning Department Carnegie Mellon University United States Massachusetts Institute of Technology Media Laboratory United States Carnegie Mellon University's Silicon Valley Campus United States Darrell W. Hughes Program for Religion and Science Dialogue Oklahoma City University United States Department of Computing Science University of Alberta Canada College of Information Studies Institute for Advanced Computer Studies University of Maryland College Park United States Department of Computer Science Michigan Technological University United States Department of Computer Science University College Cork Ireland Cognitive Systems Research Insitute Athens Greece School of Computer Science McGill University Canada Stottler Henke Inc. United States School of Computing University of Dundee United Kingdom Department of Computer Engineering Istanbul Technical University Turkey Convergence Lab Infosys Technologies Ltd. United States Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor United States Robotics Institute Carnegie Mellon University United States University of Wisconsin

The AAAI-11 workshop program was held Sunday and Monday, August 7-18, 2011, at the Hyatt Regency San Francisco in San Francisco, California USA. The AAAI-11 workshop program included 15 workshops covering a wide range of topics in artificial intelligence. The titles of the workshops were Activity Context Representation: Techniques and Languages;Analyzing Microtext;Applied Adversarial Reasoning and Risk Modeling;Artificial Intelligence and Smarter Living: The Conquest of Complexity;Artifiicial Intelligence for Data Center Management and Cloud Computing;Automated Action Planning for Autonomous Mobile Robots;Computational Models of Natural Argument;Generalized Planning;Human Computation;Human-Robot Interaction in Elder Care;Interactive Decision Theory and Game Theory, 2010;Language-Action Tools for Cognitive Artificial Agents: Integrating Vision, Action, and Language;Lifelong Learning from Sensorimotor Experience;Plan, Activity, and Intent Recognition;and Scalable Integration of Analytics and Visualization. This article presents short summaries of those events. Copyright © 2012, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Human robot interaction

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Research on Hierarchical Evaluation of information System Agility

Research on Hierarchical Evaluation of Information System Ag...

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2011 First International Conference on High Performance Structures and Materials engineering (ICHPSM 2011)

作者： Chao Yi Hongzhi Liao Wei Zhou Jiande Wu National Pilot School of Software Yunnan University Faculty of Information Engineering and Automation Kunming University of Science and Technology

In order to exist and develop in an unpredictable and rapidly changing surroundings,it is necessary for enterprise to have an agile information systems to support its *** agile information system is the one can reconstruct itself and adapt quickly to it's *** article will begin with the focus on one more properties of information system agility,explain its definition,build its evaluating indicator system,provide the hierarchical evaluation model of information system agility,and describe the evaluation process and mathematical ***,by using an example,the practicability and validity of the evaluation model is proved,comprehensive and scientific evaluation of information system agility is achieved.

关键词： information System Agility Hierarchical Model Evaluation

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Collaboration-Based Cloud Computing Security Management Framework

Collaboration-Based Cloud Computing Security Management Fram...

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IEEE International Conference on Cloud Computing, CLOUD

作者： Mohemed Almorsy John Grundy Amani S. Ibrahim Computer Science & Software Engineering Faculty of Information & Communication Technologies Swinburne University of Technology Hawthorn VIC Australia

Although the cloud computing model is considered to be a very promising internet-based computing platform, it results in a loss of security control over the cloud-hosted assets. This is due to the outsourcing of enterprise IT assets hosted on third-party cloud computing platforms. Moreover, the lack of security constraints in the Service Level Agreements between the cloud providers and consumers results in a loss of trust as well. Obtaining a security certificate such as ISO 27000 or NIST-FISMA would help cloud providers improve consumers trust in their cloud platforms' security. However, such standards are still far from covering the full complexity of the cloud computing model. We introduce a new cloud security management framework based on aligning the FISMA standard to fit with the cloud computing model, enabling cloud providers and consumers to be security certified. Our framework is based on improving collaboration between cloud providers, service providers and service consumers in managing the security of the cloud platform and the hosted services. It is built on top of a number of security standards that assist in automating the security management process. We have developed a proof of concept of our framework using. NET and deployed it on a test bed cloud platform. We evaluated the framework by managing the security of a multi-tenant SaaS application exemplar.

关键词： Security Cloud computing Computational modeling Standards Monitoring Process control Collaboration

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Automatic image orientation detection with prior hierarchical content-based classification

Automatic image orientation detection with prior hierarchica...

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IEEE International Conference on Image Processing

作者： Ivana Cingovska Zoran Ivanovski François Martin Faculty of Electrical Engineering and Information Technology Skopje Macedonia NXP Software B.V. Eindhoven Netherlands

This paper presents an algorithm for automatic detection of the orientation of user generated images. The images can initially be into 3 different orientations. The algorithm utilizes SVM classifier trained over feature vectors of the low-level characteristics of the images in the training set. In order to increase classification accuracy, prior to the SVM classification, the images are hierarchically pre-classified into different groups regarding to the semantic cues they contain, like presence and absence of sky, light, or human faces. Then separate SVM classifier is trained for each group. Also, the paper presents the conclusions of an online survey about the user preferences for software for automatic image orientation detection and gives explanation how those conclusions correspond to the accuracy of the proposed algorithm.

关键词： Classification algorithms Semantics Feature extraction Face detection Support vector machine classification Training

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Relationship modulation based blind stereoscopic image watermarking algorithm for 3D media

Relationship modulation based blind stereoscopic image water...

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International Conference on Internet technology and Applications

作者： Wu, Aihong Yu, Mei Peng, Zongju Shao, Feng Jiang, Gangyi Faculty of Information Science and Engineering Ningbo University Ningbo China National Key Lab. of Software New Technology Nanjing University Nanjing China

ISBN: (纸本)9781424472550

With the development of three dimensional media resources, the corresponding intellectual property protection problem also occurs. In this paper, a blind stereoscopic image watermarking algorithm based on the relationship modulation is proposed. Firstly, the original stereoscopic images are divided into non-overlapping blocks respectively, and the polarity of these blocks in left and right images are defined. Secondly, the watermark is embedded by modulating the relationship between watermark and the polarity of the divided blocks. When the binary watermark is "1", the polarity of the corresponding image block is changed in order to make that the polarity of left image block is the same as the right one. On the contrary, the polarity of left image block is set to be not the same as the right one. The binary watermark is extracted by judging polarity which is consistent or not from the watermarked images without the original images. The experimental results show that the proposed algorithm is robust against some general image processing operations. © 2011 IEEE.

关键词： Modulation

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3DTV-oriented multiview video coding based on stereoscopic visual ROI

3DTV-oriented multiview video coding based on stereoscopic v...

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International Conference on Internet technology and Applications

作者： Yu, Mei Lu, Xiaoming Jiang, Gangyi Zhang, Yun Shao, Feng Peng, Zongju Faculty of Information Science and Engineering Ningbo University Ningbo China National Key Lab. of Software New Technology Nanjing University Nanjing China

ISBN: (纸本)9781424472550

In this paper, a stereoscopic vision based region-of-interest (ROI) classification and the corresponding multiview video coding algorithm is proposed for three-dimensional television (3DTV), which takes advantage of the bottom-up statical visual attention, combined with motion and depth information. Then the regions received more attentions are allocated more bits, while those with less attentions are allocated less bits, so as to save bitrate by using human visual redundancy. The experimental results show that the proposed algorithm can improve the coding efficiency effectively. Compared with JMVM 7.0, the proposed algorithm can reduce about 18%∼34% bitrate when quantization parameter (QP) is 22, and the SSIMs between the images reconstructed by the proposed algorithm and JMVM 7.0 are about 99%, which means that the quality of the reconstructed image is almost not decreased. © 2011 IEEE.

关键词： Stereo image processing

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A Random search based effective algorithm for pairwise test data generation

A Random search based effective algorithm for pairwise test ...

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International Conference on Electrical, Control and Computer engineering (INECCE)

作者： S. Khatun K. F. Rabbi C. Y. Yaakub M. F. J Klaib Faculty of Computer Systems & Software Engineering Universiti Malaysia Pahang Pahang Malaysia Faculty of Science and Information Technology Jadara University Jordan

Testing is a very important task to build error free software. As the resources and time to market is limited for a software product, it is impossible to perform exhaustive test i.e., to test all combinations of input data. To reduce the number of test cases in an acceptable level, it is preferable to use higher interaction level (t way, where t ≥ 2). Pairwise (2-way or t = 2) interaction can find most of the software faults. This paper proposes an effective random search based pairwise test data generation algorithm named R2Way to optimize the number of test cases. Java program has been used to test the performance of the algorithm. The algorithm is able to support both uniform and non-uniform values effectively with performance better than the existing algorithms/tools in terms of number of generated test cases and time consumption.

关键词： software Conferences Algorithm design and analysis software algorithms Equations software testing

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EasyA: Easy and Effective Way to Generate Pairwise Test Data

EasyA: Easy and Effective Way to Generate Pairwise Test Data

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International Conference on Computational Intelligence, Communication Systems and Networks, CICSYN

作者： K.F. Rabbi S. Khatun C.Y. Yaakub M.F.J. Klaib Faculty of Computer Systems & Software Engineering Universiti Malaysia Pahang Pahang Malaysia Faculty of Science and Information Technology Jadara University Jordan

Testing is a very important task to build error free software. As the resources and time to market is limited for a software product, it is impossible to perform exhaustive test i.e., to test all combinations of input data. To reduce the number of test cases in an acceptable level, it is preferable to use higher interaction level (t way, where t = 2). Pairwise (2- way or t = 2) interaction can find most of the software faults. This paper proposes a matrix based calculation for pairwise test data generation algorithm named EasyA to optimize the number of test cases. Java program has been used to test the performance of the algorithm. The performance is better than the existing algorithms/tools in terms of number of generated test cases and time consumption.

关键词： Conferences Algorithm design and analysis Computer languages Operating systems software testing

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A generalized mean shift tracking algorithm

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Science China(information Sciences) 2011年第11期54卷 2373-2385页

作者： CHEN JianJun 1,4,ZHANG SuoFei 1,AN GuoCheng 2 & WU ZhenYang 1,31 School of information Science and engineering,Southeast University,Nanjing 210096,China 2 Intelligence engineering lab,Institute of software Chinese Academy of Sciences,Beijing 100190,China 3 Key laboratory of Underwater Acoustic Signal Processing of Ministry of Education,Southeast University,Nanjing 210096,China 4 Nanjing Research Institute of Electronic technology,Nanjing 210013,China 1. School of Information Science and Engineering Southeast University Nanjing 210096 China4. Nanjing Research Institute of Electronic Technology Nanjing 210013 China2. Intelligence Engineering Lab Institute of Software Chinese Academy of Sciences Beijing 100190 China3. Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education Southeast University Nanjing 210096 China

CAMSHIFT algorithm and Comaniciu/Meer algorithm are two fundamental frameworks of mean shift procedure for video target *** paper generalizes the two well-known mean shift tracking algorithms,originally due to Bradski and Comaniciu/Meer.A new general similarity function which defines the distance between the target model and target candidate is employed to calculate the pixel weights and the target *** target size is iteratively estimated and updated based on the zeroth order moment of the pixel *** we prove that both the CAMSHIFT algorithm and the Comaniciu/Meer algorithm can be included in the generalized mean shift tracking *** tracking performances of three mean shift algorithms in the unified framework are shown and compared in the experimental results.

关键词： mean shift CAMSHIFT video target tracking similarity measure

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A novel intrusion detection system by using intelligent data mining in weka environment

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Procedia Computer Science 2011年 3卷 1237-1242页

作者： Muamer N. Mohammad Norrozila Sulaiman Osama Abdulkarim Muhsin Faculty of Computer Systems & Software Engineering University Malaysia Pahang 26300 Kuantan Malaysia Collage of Information Technology University Tenaga Nasional 43000 Selangor Malaysia

Nowadays, the using of intelligent data mining approaches to predict intrusion in local area networks has been increasing rapidly. In this paper, an improved approach for Intrusion Detection System (IDS) based on combining data mining and expert system is presented and implemented in WEKA. The taxonomy consists of a classification of the detection principle as well as certain WEKA aspects of the intrusion detection system such as open-source data mining. The combining methods may give better performance of IDS systems, and make the detection more effective. The result of the evaluation of the new design produced a better result in terms of detection efficiency and false alarm rate from the existing problems. This presents useful information in intrusion detection.

关键词： Data mining Intrusion detection system WEKA

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