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Proceedings of the 2011 ACM Symposium on Applied Computing

作者： Fournier-Viger, Philippe Nkambou, Roger Tseng, Vincent Shin-Mu Dept. of Computer Science and Information Engineering National Cheng Kung University Tainan Taiwan Dept. of Computer Science Univ. of Quebec in Montreal Montréal QC Canada

ISBN: (纸本)9781450301138

Mining sequential rules from large databases is an important topic in data mining fields with wide applications. Most of the relevant studies focused on finding sequential rules appearing in a single sequence of events and the mining task dealing with multiple sequences were far less explored. In this paper, we present RuleGrowth, a novel algorithm for mining sequential rules common to several sequences. Unlike other algorithms, RuleGrowth uses a pattern-growth approach for discovering sequential rules such that it can be much more efficient and scalable. We present a comparison of RuleGrowth's performance with current algorithms for three public datasets. The experimental results show that RuleGrowth clearly outperforms current algorithms for all three datasets under low support and confidence threshold and has a much better scalability. © 2011 ACM.

关键词： Data mining

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Low complexity underwater image enhancement based on dark channel prior

Low complexity underwater image enhancement based on dark ch...

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2011 2nd International Conference on Innovations in Bio-inspired Computing and Applications, IBICA 2011

作者： Yang, Hung-Yu Chen, Pei-Yin Huang, Chien-Chuan Zhuang, Ya-Zhu Shiau, Yeu-Horng Dept. of Computer Science and Information Engineering National Cheng Kung University Tainan Taiwan Dept. of Electrical Engineering National Yunlin University of Science and Technology Yunlin Taiwan

ISBN: (纸本)9781457712197

Blurred underwater image is always an annoying problem in the oceanic engineering. In this paper, we propose an efficient and low complexity underwater image enhancement method based on dark channel prior. Our method employs the median filter instead of the soft matting procedure to estimate the dept. map of image. Moreover, a color correction method is adopted to enhance the color contrast for underwater image. The experimental results show that the proposed approach can effectively enhance the underwater image and reduce the execution time. Besides, this method requires less computing resource and is well suitable for implementing on the surveillance and underwater navigation in real time. © 2011 IEEE.

关键词： Median filters

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Automatic construction of jump-oriented programming shellcode (on the x86) 11

Automatic construction of jump-oriented programming shellcod...

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6th International Symposium on information, computer and Communications Security, ASIACCS 2011

作者： Chen, Ping Xing, Xiao Mao, Bing Xie, Li Shen, Xiaobin Yin, Xinchun Dept. of Computer Science and Technology State Key Laboratory for Novel Software Technology Nanjing University China Dept. of Computer Science College of Information Engineering Yangzhou University China

ISBN: (纸本)9781450305648

Return-Oriented Programming (ROP) is a technique which leverages the instruction gadgets in existing libraries/executables to construct Turing complete programs. However, ROP attack is usually composed with gadgets which are ending in ret instruction without the corresponding call instruction. Based on this fact, several defense mechanisms have been proposed to detect the ROP malicious code. To circumvent these defenses, Return-Oriented Programming without returns has been proposed recently, which uses the gadgets ending in jmp instruction but with much diversity. In this paper, we propose an improved ROP techniques to construct the ROP shellcode without returns. Meanwhile we implement a tool to automatically construct the real-world Return-Oriented Programming without returns shell-code, which as demonstrated in our experiment can bypass most of the existing ROP defenses. Copyright 2011 ACM.

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Lecture Notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2012年 7248 LNCS卷 VI-XI页

作者： Di Chio, Cecilia Agapitos, Alexandros Cagnoni, Stefano Cotta, Carlos De Vega, F. Fernández Di Caro, Gianni Drechsler, Rolf Ekárt, Anikó Esparcia-Alcázar, Anna I. Farooq, Muddassar Langdon, William B. Merelo-Guervós, Juan-J. Preuss, Mike Richter, Hendrik Silva, Sara Simões, Anabela Squillero, Giovanni Tarantino, Ernesto Tettamanzi, Andrea G.B. Togelius, Julian Urqhart, Neil Uyar, A. Şima Yannakakis, Georgios N. University College Dublin Ireland Dept. of Computer Engineering University of Parma Italy Dept. Lenguajes Y Ciencias de la Computación University of Málaga Spain University of Extremadura Spain Lugano Switzerland Cyber-Physical Systems DFKI Bremen Germany Computer Science Aston University Birmingham United Kingdom S2 Grupo Spain National University of Computer and Emerging Sciences Islamabad Pakistan University College London United Kingdom Departamento de Arquitectura Y Tecnología de Computadores Universidad de Granada Spain TU Dortmund University Germany Faculty of Electrical Engineering and Information Technology HTWK Leipzig University of Applied Sciences Germany INESC-ID Lisboa Portugal Coimbra Institute of Engineering Coimbra Polytechnic Coimbra Portugal Politecnico di Torino Italy Institute for High Performance Computing and Networking Italy Università degli Studi di Milano Italy Center for Computer Games Research IT University of Copenhagen Denmark Centre for Emergent Computing Edinburgh Napier University United Kingdom Dept. of Computer Engineering Istanbul Technical University Turkey

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Access control of cloud computing using rapid face and fingerprint identification

Access control of cloud computing using rapid face and finge...

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2011 2nd International Conference on Innovations in Bio-inspired Computing and Applications, IBICA 2011

作者： Chang, Bao Rong Tsai, Hsiu-Fen Chen, Chi-Ming Huang, Chien-Feng Dept. of Computer Science and Information Engineering National University of Kaohsiung Taiwan Dept. of Marketing Management Sue-Te University Taiwan

ISBN: (纸本)9781457712197

In this paper,a fast access control applied to Hadoop cloud computing using the fingerprint identiication and face recognition is *** study employed a way of low-capacity Linux embedded platform linked to Hadoop via Ethernet,WiFi or *** client side,JamVM virtual machine is utilized to from the J2ME environment,and GNU Classpath is viewed as Java Class *** order to verify effectiveness and efficiency in access control for cloud computing,the rapid face and fingerprint identification has been accomplished successfully within 2.2 seconds to exactly perform the subject identity under the *** experimental results show that the one we proposed outperforms two alternative methods. © 2011 IEEE.

关键词： Access control

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Access security on cloud computing implemented in Hadoop system

Access security on cloud computing implemented in Hadoop sys...

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5th International Conference on Genetic and Evolutionary Computing, ICGEC2011

作者： Chang, Bao Rong Tsai, Hsiu Fen Lin, Zih-Yao Chen, Chi-Ming Dept. of Computer Science and Information Engineering National University of Kaohsiung Taiwan Dept. of Marketing Management Sue-Te University Taiwan

ISBN: (纸本)9780769544496

In this paper, we introduce a Hadoop cloud computing together with access security by using the fingerprint identification and face recognition. Hadoop cloud computing is connected to serve plenty of mobile devices or thin clients by the wired or wireless network. In fact a controller (master) may be linked to several nodes (slavers) to form a Hadoop cloud computing, where the cloud computing initiates the services like SaaS, PaaS, and/or IaaS. This study employed a way of low-capacity Linux embedded platform linked to Hadoop via Ethernet, WiFi or 3G. At client side, JamVM virtual machine is utilized to form the J2ME environment, and GNU Classpath is viewed as Java Class Libraries. In order to verify the cloud system effectiveness and efficiency in access security, the rapid identification on fingerprint and face in Hadoop has been done successfully within 2.2 seconds to exactly cross-examine the subject identity. © 2011 IEEE.

关键词： Face recognition

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Anytime algorithms for GPU architectures

Anytime algorithms for GPU architectures

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2011 32nd IEEE Real-Time Systems Symposium, RTSS 2011

作者： Mangharam, Rahul Saba, Aminreza Abrahimi Dept. of Computer and Information Science University of Pennsylvania United States Dept. of Electrical and Systems Engineering University of Pennsylvania United States

ISBN: (纸本)9780769545912

Most algorithms are run-to-completion and provide one answer upon completion and no answer if interrupted before completion. On the other hand, anytime algorithms have a monotonic increasing utility with the length of execution time. Our investigation focuses on the development of time-bounded anytime algorithms on Graphics Processing Units (GPUs) to trade-off the quality of output with execution time. Given a time-varying workload, the algorithm continually measures its progress and the remaining contract time to decide its execution pathway and select system resources required to maximize the quality of the result. To exploit the quality-time tradeoff, the focus is on the construction, instrumentation, on-line measurement and decision making of algorithms capable of efficiently managing GPU resources. We demonstrate this with a Parallel A* routing algorithm on a CUDA-enabled GPU. The algorithm execution time and resource usage is described in terms of CUDA kernels constructed at design-time. At runtime, the algorithm selects a subset of kernels and composes them to maximize the quality for the remaining contract time. We demonstrate the feedback-control between the GPU-CPU to achieve controllable computation tardiness by throttling request admissions and the processing precision. As a case study, we have implemented AutoMatrix, a GPU-based vehicle traffic simulator for real-time congestion management which scales up to 16 million vehicles on a US street map. This is an early effort to enable imprecise and approximate real-time computation on parallel architectures for stream-based time-bounded applications such as traffic congestion prediction and route allocation for large transportation networks. © 2011 IEEE.

关键词： Real time systems

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The design of a video-based OSGi-compliant remote home network control system

The design of a video-based OSGi-compliant remote home netwo...

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IEEE International Conference on Ubi-media Computing

作者： Chiu, Chuan-Feng Huang, Chun-Hong Hsu, Steen J. Jan, Sen-Ren Department of Information Management Minghsin University of Science and Technology Taiwan Dept. of Computer Information and Network Engineering Lunghwa University of Science and Technology Taiwan

ISBN: (纸本)9780769544939

With the population of networking infrastructure in home area, we can realize Smart Home nowadays. Automation, zero-configuration and easy to use are the major requirements of Smart Home. In this paper, we propose a design of an integrated framework to realize Ubiquitous Smart home control. In our proposed architecture, home users indicate home device, for example, DVD player etc., in the real-time video from home camera. The control panel of the indicated device will be delivered to user devices and home user can control the device by the on-demand control panel. The main contribution of our work is to make Smart Home Control easily. Home user can ignore the device allocation of Smart Home and follow on the strategy " what you seen what you can use". © 2011 IEEE.

关键词： Home networks

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Fuzzy graph-theoretical clustering approach on spatial relationship constrain

Fuzzy graph-theoretical clustering approach on spatial relat...

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International Conference on Intelligence science and information engineering (ISIE)

作者： Liu, Suolan Wang, Jianguo Wang, Hongyuan School of Information Science and Engineering Changzhou University Changzhou China Computer Science Dept. Tangshan College Tangshan China

ISBN: (纸本)9780769544809

In the process of segmentation the traditional graph-theoretical clustering method is sensitive to noise and fuzzy edges,thus false segmentation result is appeared. Further, the large computational complexity also affects its application. Aiming at these deficiencies, the traditional approach is improved in the paper. First, to reduce the computational complexity, we divide the pixels of same grey level into one class when initialization. Then, in the traditional algorithem the information of pixel's gray and the distance between pixel and clusters' center is used, but the spatial character distribution between pixel and region is neglected, thus caused data is independent of each other. In fact, image segmentation is not only the target of gray statistics, pixel space between the neighbour relationship to maintain the integrity of the target also plays a key role. So in calculating weight coefficient, we define the neighbours relationship between pixels and regions, through increasing the constraint of spatial relationship to modify the value deviation caused by only considering the pixels'gray and two-dimensional position relations. Furthermore, we propose to combine the fuzzy theory and graph-theoretical clustering method. By using some parameters such as weight coefficient, fuzzy similarity relationship between each pixel is constructed , then the image may be mapped from space field to fuzzy field. Finally, cluster analysis is done by using the maximal fuzzy supporting tree on the new fuzzy graph. Thus some problems encountered in image processing of the traditional graph-theoretical clustering method may be solved. © 2011 IEEE.

关键词： Pixels

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Change impact analysis for object-oriented programs evolved to aspect-oriented programs 11

Change impact analysis for object-oriented programs evolved ...

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Proceedings of the 2011 ACM Symposium on Applied Computing

作者： Liu, Chien-Hung Chen, Shu-Ling Jhu, Wei-Lun Dept. of Computer Science and Information Engineering National Taipei University of Technology Taipei Taiwan Dept. of Management and Information Technology Southern Taiwan University Tainan Taiwan

ISBN: (纸本)9781450301138

When object-oriented programs evolve to aspect-oriented programs (AOP), the behavior of the evolved programs can become complex and hard to understand because the aspects woven into object-oriented programs can change the original behavior of the programs in an unintended way. To ensure that no additional errors are introduced by the aspects, it is critical to retest the evolved aspect-oriented programs. The testing efforts can be significantly reduced if only the parts of the object-oriented program affected by the changes are retested. In this paper we propose a method to analyze the possible change impacts caused by woven aspects. The types of changes introduced by aspects are identified and specified. The likely impacts caused by the changes are described and computed based on various dependency relations in object-oriented programs. In particular, the influences of pointcut declarations on the locations of changes and ripple effects are addressed. An example is presented to illustrate the usefulness of the proposed method. © 2011 ACM.

关键词： Aspect oriented programming

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