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Scene segmentation based on seeded region growing for foreground detection

Scene segmentation based on seeded region growing for foregr...

引用

2010 6th International Conference on Natural Computation, ICNC'10

作者： Qin, Hongwu Zain, Jasni Mohamad Ma, Xiuqin Hai, Tao Faculty of Computer Systems and Software Engineering University Malaysia Pahang Kuantan Malaysia

ISBN: (纸本)9781424459612

This paper proposes a scene segmentation method for foreground detection in outdoor visual surveillance. An outdoor scene is divided into three parts: road, sky, and other region by using seeded region growing (SRG) algorithm in which road region gets initial seeds by using the motion information of vehicles and sky region gets initial seeds by using a probabilistic classifier. As a result, instead of detecting foreground objects in a conventional pixel by pixel manner, detection can be performed selectively on the pixels of partial regions in terms of different surveillant requirement so as to facilitate and accelerate foreground detection. Experimental results show the contribution of our proposed method. ©2010 IEEE.

关键词： Pixels

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An implementation of digital image watermarking based on particle swarm optimization

An implementation of digital image watermarking based on par...

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2nd International Conference on 'Networked Digital Technologies', NDT 2010

作者： Tao, Hai Zain, Jasni Mohamad Abd Alla, Ahmed N. Hongwu, Qin Faculty of Computer Systems and Software Eng. University Malaysia Pahang Malaysia Faculty of Electrical and Electronic Engineering University Malaysia Pahang Malaysia

ISBN: (纸本)3642142915

The trade-off between the imperceptibility and robustness is one of the most challenges in digital watermarking system. To solve the problem, a digital image watermarking implementation of evolutionary algorithm in the discrete wavelet domain is presented. In the proposed scheme, the watermark is embedded in the vertical subband (HLm ) coefficients in wavelet domain. Furthermore, the proposed algorithm based on Particle Swarm Optimization is performed to train scaling factors to accomplish maximum the watermark strength while decrease the visual distortion. From experimental results, it demonstrates the robustness and the superiority of the proposed hybrid scheme. © 2010 Springer-Verlag.

关键词： Particle swarm optimization (PSO)

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Particle swarm optimization for digital image watermarking

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2010 International Conferences on Database Theory and Application, DTA 2010 and Bio-Science and Bio-Technology, BSBT 2010, Held as Part of the 2nd International Mega-Conference on Future Generation Information Technology, FGIT 2010

作者： Tao, Hai Zain, Jasni Mohamad Alla, Ahmed N. Abd Hongwu, Qin Faculty of Computer Systems and Software Eng. University Malaysia Pahang Malaysia Faculty of Electrical and Electronic Engineering University Malaysia Pahang Malaysia

ISBN: (纸本)3642176216

The trade-off between the imperceptibility and robustness is one of the most difficult challenges in digital watermarking system. To solve the problem, an optimal algorithm for image watermarking is proposed. The algorithm embeds the watermark by quantizing the wavelet packets coefficients of the image. In the proposed watermarking system, to protect the originality of the watermark image, a scrambled binary watermark embeds in the host image against intentional and unintentional attacks and each bit of the permuted watermark is embedded optimally into selected sub-bands of the decomposed host image by quantization of sub-bands coefficients. From experimental results, it demonstrates the robustness and the superiority of the proposed hybrid scheme. © 2010 Springer-Verlag.

关键词： Image watermarking

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Failure semantic of neighbour replication grid transaction model

Failure semantic of neighbour replication grid transaction m...

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10th IEEE International Conference on computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded software and systems, ICESS-2010, 10th IEEE Int. Conf. Scalable Computing and Communications, ScalCom-2010

作者： Ahmad, Noraziah Klaib, Mohammad Fadel Jamil Sidek, Roslina Mohd Faculty of Computer Systems and Software Engineering University Malaysia Pahang Lebuhraya Tun Razak 26300 Kuantan Pahang Malaysia

ISBN: (纸本)9780769541082

Real time application with replicated data in grid environment has received particular attention for providing efficient access, fault tolerance and enhance the performance of the system. This paper presents the new failure semantic to manage neighbour replication data in distributed environment. The failure semantic classes include the transaction abort and system failures. We address how to build reliable system for managing replication and transaction based on Neighbour Replication Grid (NRG) Transaction Model in terms to preserve the data consistency and support fault tolerance when exists the neighbour replica failure in quorum. In addition, we present an implementation of the propose failure semantic through NRG daemon by deploying real time application in distributed systems. The implementation shows that managing transactions on NRG through the failure semantic provides fault tolerance capabilities that allow it to withstand failure both in handling quorum locking and the transaction execution. © 2010 IEEE.

关键词： Fault tolerance

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Epilepsy control by Prayer type yoga exercise

Epilepsy control by Prayer type yoga exercise

引用

2nd International Conference on computer Research and Development, ICCRD 2010

作者： Khan, Nawsher Ahmad, Noraziah Beg, A.H. Ismail, Elrasheed I. Abd Alla, Ahmed N. Nubli, Muhammad Faculty of Computer Systems and Software Engineering University Malaysia Pahang Malaysia Faculty of Electric and Electronics Engineering University Malaysia Pahang Malaysia Faculty of Technology Management University Malaysia Pahang Malaysia

ISBN: (纸本)9780769540436

Epilepsy is caused by sudden flurries of electrochemical activity in the brain, which interrupt the 'conversation' among neurons. Consciousness, memory, sense, speech, mood, movement, and motions can all be affected during the one or two minutes that the seizure lasts. Walking, jogging, running and stationary bicycling are particularly safe, but especially "Prayer type yoga exercise" clearly benefits epileptic inhabitants to control epilepsy because it often reduces seizure frequency, relieves depression, decreases social segregation, and promotes cardiac and general health. This paper proposes the study about yoga "Prayer", which is not really an exercise but similar to yoga, helping in controlling of epilepsy and also physically, mentally, spiritually relaxation can also be achieved through this method. Spiritual religious believe and practices have an important impact on both physical and mental health. © 2010 IEEE.

关键词： Brain

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Kernel Dimensionality Reduction evaluation on various dimensions of effective subspaces for cancer patient survival analysis

Kernel Dimensionality Reduction evaluation on various dimens...

引用

International Conference on Information Science, Signal Processing and Their Applications

作者： Chin, Y.S. Wasito, Ito Mohd Hashim, S.Z. Department of Software Engineering Faculty of Computer Science and Information Systems University Technology Malaysia Skudai Johor Bahru Malaysia Faculty of Computer Science University of Indonesia Jakarta Indonesia

ISBN: (纸本)9781424471676

In this research, we have extended the use of Kernel Dimensionality Reduction (KDR) in the context of semi supervised learning in particular for micro-array DNA clustering application. We have proposed a new model call K-means-KDR for survival analysis which we aimed to improve the genes classification performance and study the dimension of effective subspaces in cancer patient survival analysis. KDR method was extended and combined with the K-means clustering technique, Cox's proportional hazards regression model and log rank test where KDR contributes in gene classification to determine subgroups from the patient's group. Results from the experiments have indicated that our model has outperformed Support Vector Machines (SVM) in gene classification. We also observed that the best value for dimension of effective subspaces (K) for microarray DNA data is between 10%-20% of the total patients. © 2010 IEEE.

关键词： Support vector machines

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Towards a metrics suite for measuring composite service granularity level appropriateness

Towards a metrics suite for measuring composite service gran...

引用

World Congress on Services

作者： Khoshkbarforoushha, A. Tabein, R. Jamshidi, P. Shams, F. Automated Software Engineering Research Group Electrical and Computer Engineering Faculty Shahid Beheshti University GC Tehran Iran Department of Computer and Systems Sciences Royal Institute of Technology Stockholm Iran

ISBN: (纸本)9780769541297

One of the prominent principles of designing services is the matter of how abstract services should be i.e. granularity. Since service-oriented analysis and design methods lack on providing a quantitative model for service granularity level evaluation, identification of optimally granular services is the key challenge in service-oriented solution development. This article through a systematic process proposes a model namely Weighted Granularity Level Appropriateness (WGLA) which leverages and consolidates four metrics to constitute quantitative basis for granularity appropriateness analysis. These metrics are, indeed, the four quantified attributes of service granularity including business value, reusability, context-independency, and complexity. Our preliminary controlled experiment confirms the correctness of the quantitative model. In fact, by adopting WGLA metric, service granularity appropriateness analysis could be conduct quantitatively that leads to realize an optimized service-oriented solution in terms of its granularity. © 2010 IEEE.

关键词： Reusability

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Business modeling with the support of multiple notations in requirements engineering

Business modeling with the support of multiple notations in ...

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14th Pacific Asia Conference on Information systems, PACIS 2010

作者： Bhuiyan, Moshiur Krishna, Aneesh OptInfra Systems Australia Decision Systems Laboratory School of Computer Science and Software Engineering University of Wollongong NSW 2522 Australia Department of Computing Faculty of Science and Engineering Curtin University of Technology Perth WA 6102 Australia

Requirements specification should not be concerned only with the software specification, but should also be able to integrate with the organizational models describing the environment in which the system will function. Agent-oriented conceptual modeling notations such as i* represents an interesting approach for modeling early phase requirements which includes organizational contexts, stakeholder intentions and rationale. Business Process Modeling notations such as BPMN are used to effectively conceptualize and communicate important process characteristics to relevant stakeholders. On the other hand, Unified Modeling Language (UML) is suitable for later phases of requirement capture which usually focus on completeness, consistency, and automated verification of functional requirements for the new system. In this paper, we illustrate the use of a methodology that facilitate and support the combined use of notation for modeling requirement engineering process in a synergistic fashion in a complex project for a large government Department. The notations we used were i*, BPMN and UML Use Case.

关键词： Unified Modeling Language

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Particle swarm optimization with a modified sigmoid function for gene selection from gene expression data

Particle swarm optimization with a modified sigmoid function...

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15th International Symposium on Artificial Life and Robotics, AROB '10

作者： Mohamad, M.S. Omatu, S. Deris, S. Yoshioka, M. Department of Computer Science and Intelligent Systems Graduate School of Engineering Osaka Prefecture University Sakai Osaka 599-8531 Japan Department of Software Engineering Faculty of Computer Science and Information Systems Universiti Teknologi Malaysia 81310 Skudai Johore Malaysia

ISBN: (纸本)9784990288044

In order to select a small subset of informative genes from gene expression data for cancer classification, recently, many researchers are analyzing gene expression data using various computational intelligence methods. However, due to the small number of samples compared to the huge number of genes (high-dimension), irrelevant genes, and noisy genes, many of the computational methods face difficulties to select the small subset. Thus, we propose an enhancement of binary particle swarm optimization to select a small subset of informative genes that is relevant for classifying cancer samples more accurately. In this proposed method, three approaches have been introduced to increase the probability of bits in particle's positions to be zero. By performing experiments on two gene expression data sets, we have found that the performance of the proposed method is superior to previous related works, including the conventional version of binary particle swarm optimization (BPSO) in terms of classification accuracy and the number of selected genes. The proposed method also produces lower running times compared to BPSO. © 2010 ISAROB.

关键词： Particle swarm optimization (PSO)

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Informative gene for cancer classification by using particle swarm optimization

Informative gene for cancer classification by using particle...

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15th International Symposium on Artificial Life and Robotics, AROB '10

ISBN: (纸本)9784990288044

Microarrays technology offers the ability to measure the expression levels of thousands of genes simultaneously in biological organisms. Gene expression data that produced by the technology are expected to be of significant help in the development of efficient cancer diagnoses and classification platforms. The main problem that needs to be addressed is the selection of a small subset of genes from the thousands of genes in the data that contributes to a cancer disease. Therefore, this article proposes particle swarm optimization (PSO) with the constraint of particle's velocities to select a near-optimal (small) subset of informative genes that is relevant for cancer classification. The performance of the proposed method was evaluated by two well-known gene expression data sets and obtained encouraging results as compared with the standard version of binary PSO. © 2010 ISAROB.

关键词： Particle swarm optimization (PSO)

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