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International Conference on computer and Information Technology (CIT)

作者： Haosong Gou Younghwan Yoo Hongqing Zeng School of Computer Science and Engineering Pusan National University Busan South Korea Departmento Ingeniería del Software e Inteligencia Artificial Faculty Informática ISBU Shanghai China

Wireless sensor networks (WSN) have been considered as a promising method for reliably monitoring both civil and military environments under hazardous or dangerous conditions. Due to such environments, the power supplies for sensors in the network are not usually rechargeable or replaceable. Therefore, the energy efficiency is critical for the lifetime and cost of WSN. Numerous mechanisms have been proposed to reduce the impact of communication protocols on the overall energy dissipation of WSN. The low-energy adaptive clustering hierarchy (LEACH) deploys randomized rotation of cluster-heads to evenly distribute the energy load among all sensors in a WSN. This paper proposes an improved LEACH algorithm called partition-based LEACH (pLEACH), which firstly partitions the network into optimal number of sectors, and then selects the node with the highest energy as the head for each sector, using the centralized calculations. The simulation results and analysis show that pLEACH could achieve much better performance of WSN in terms of the energy dissipation and network lifetime.

关键词： Partitioning algorithms Wireless sensor networks Energy dissipation Condition monitoring Power supplies Energy efficiency Costs Protocols Clustering algorithms Analytical models

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Managing Malware in Higher Learning Institutions

Managing Malware in Higher Learning Institutions

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International Conference on computer and Electrical engineering, ICCEE

作者： Zuraini Ismail Christine Simfukwe Department of Science College of Science & Technology International Campus Universiti Teknologi Malaysia Kuala Lumpur Malaysia Centre of Advanced Software Engineering Faculty of Computer Science and Information Systems International Campus Universiti Teknologi Malaysia Kuala Lumpur Malaysia

"Malware" is an umbrella term that describes a variety of Internet-borne threats, including viruses, spyware,Trojan horses, spam, bots and more. This sophisticated and evolving security threat puts all businesses at risk, no matter how big or small. Malware creates unique challenges to higher learning institutions (HLI) in protecting their information assets. This is largely due to the fact that HLI information technology (IT) departments must balance between enabling a highly collaborative, non-restrictive environment and ensuring the confidentiality, integrity, and availability of data and computing resources. HLIs can proactively defend the network to reduce the risks associated with this threat by assessing the vulnerabilities and threats present in their networks and implementing appropriate multilayer security. A multilayer approach involves applying countermeasures at every layer of the computer network, from the perimeter routers and firewalls to users' personal computers in order to increase network security. The goal of this study is to propose a framework for network security protection against malware to increase the level of protection using non technical countermeasures.

关键词： Protection Nonhomogeneous media Internet computer viruses Horses Information security Information technology Collaboration Availability Data security

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A Skipping SvS Intersection Algorithm

A Skipping SvS Intersection Algorithm

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International Conference on Computing, engineering and Information, ICC

作者： Jaratdech Chatchaval Veera Boonjing Pisit Chanvarasuth Software Systems Engineering Laboratory Mathematics and Computer Science Department Faculty of Science King Mongkut''s Institute of Technology Ladkrabang Thailand School of Management Technology Sirindhorn International Institute of Technology Thammasat University Pathum Thani Thailand

In this paper, we propose to improve the SvS algorithm by skipping elements of the smaller set for reducing a search boundary. The boundary of skipped element is determined by boundaries of elements prior to and next to it. We perform experiments on uniformly distributed random datasets to compare our algorithm with the standard SvS. We use regression analysis to get an equation for determining an appropriate skipping number. Our results show that the skipping SvS algorithm using the equation obtained can reduce approximately 41% on the number of comparisons of the standard SvS algorithm.

关键词： Equations software algorithms software systems Systems engineering and theory Laboratories Mathematics computer science Conference management Technology management engineering management

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A Quadratic Deformation Model for Facial Expression Recognition

A Quadratic Deformation Model for Facial Expression Recognit...

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Proceedings of the Digital Image Computing: Technqiues and Applications (DICTA)

作者： M. Obaid R. Mukundan R. Goecke M. Billinghurst H. Seichter University of Canterbury Christchurch NZ Computer Science and Software Engineering Department University of Canterbury New Zealand HCC Laboratory / NCBS Faculty of Information Sciences and Engineering University of Canberra Australia School of Computer Science CECS Australian National University Canberra Australia HITLab New Zealand University of Canterbury Christchurch New Zealand

In this paper, we propose a novel approach for recognizing facial expressions based on using an active appearance model facial feature tracking system with the quadratic deformation model representations of facial expressions. Thirty seven facial feature points are tracked based on the MPEG-4 facial animation parameters layout. The proposed approach relies on the Euclidean distance measures between the tracked feature points and the reference deformed facial feature points of the six main expressions (smile, sad, fear, disgust, surprise, and anger). An evaluation of 30 model subjects, selected randomly from the Cohn-Kanade database, was carried out. Results show that the main six facial expressions can successfully be recognized with an overall recognition accuracy of 89%. The proposed approach yields to promising recognition rates and can be used in real time applications.

关键词： Deformable models Face recognition Active appearance model Facial features Application software MPEG 4 Standard Facial animation computer vision Image recognition computer science

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Robust audio steganography via genetic algorithm

Robust audio steganography via genetic algorithm

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International Conference on Information and Communication Technologies (ICICT)

作者： Mazdak Zamani Hamed Taherdoost Azizah A. Manaf Rabiah B. Ahmad Akram M. Zeki Faculty of Computer Science and Information Systems Universiti Teknologi Malaysia Kuala Lumpur Malaysia College of Science and Technology Universiti Teknologi Malaysia Kuala Lumpur Malaysia Centre of Advanced Software Engineering Universiti Teknologi Malaysia Kuala Lumpur Malaysia

Steganography is a technique used to transmit hidden information by modifying an audio signal in an imperceptible manner. The transmission must be possible in spite of subsequent imperceptible alterations (attacks) of the modified signal. We propose a novel approach of substitution technique of audio steganography. Using genetic algorithm, message bits are embedded into multiple, vague and higher LSB layers, resulting in increased robustness. The robustness specially would be increased against those intentional attacks which try to reveal the hidden message and also some unintentional attacks like noise addition as well.

关键词： Steganography Genetic algorithms Video sequences Humans Watermarking Noise robustness Internet DVD computer science Information systems

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A Novel Approach for Audio Watermarking

A Novel Approach for Audio Watermarking

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The Fifth International Conference on Information Assurance and Security(第五届信息保障与安全国际会议)

作者： Mazdak Zamani Pritheega Magalingam Azizah Bt Abdul Manaf Akram M.Zeki Rabiah Bt Ahmad Faculty of Computer Science Universiti Teknologi Malaysia 54100 Kuala Lumpur Malaysia College of Science and Technology Universiti Teknologi Malaysia 54100 Kuala Lumpur Malaysia Centre for Advanced Software Engineering Universiti Teknologi Malaysia 54100 Kuala Lumpur Malaysia

ISBN: (纸本)9780769537443

This paper presents a novel, principled approach to resolve the remained problems of substitution technique of audio watermarking. Using the proposed genetic algorithm, message bits are embedded into multiple, vague and higher LSB layers, resulting in increased robustness. The robustness specially would be increased against those intentional attacks which try to reveal the hidden message and also some unintentional attacks like noise addition as well.

关键词： data hiding substitution techniques audio watermarking artificial intelligence genetic algorithm

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An Approach to Improve the Robustness of Substitution Techniques of Audio Steganography

An Approach to Improve the Robustness of Substitution Techni...

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2009 2nd IEEE International Conference on computer science and Information Technology（ICCSIT 2009）

作者： Mazdak Zamani Azizah Bt Abdul Manaf Rabiah Bt Ahmad Akram M.Zeki Faculty of Computer Science and Information System University of Technology Malaysia 54100 Kuala Lumpur Malaysia College of Science and Technology University of Technology Malaysia 54100 Kuala Lumpur Malaysia Centre for Advanced Software Engineering University of Technology Malaysia 54100 Kuala Lumpur Malaysia

Steganography is a technique used to transmit hidden information by modifying an audio signal in an imperceptible *** transmission must be possible in spite of subsequent imperceptible alterations(attacks)of the modified *** propose a novel approach of substitution technique of audio *** genetic algorithm,message bits are embedded into multiple,vague and higher LSB layers,resulting in increased *** robustness specially would be increased against those intentional attacks which try to reveal the hidden message and also some unintentional attacks like noise addition as well.

关键词： data hiding substitution techniques audio steganography artificial intelligence genetic algorithm.

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Syllable nucleus Durations Estimation using Linear Regression based ensemble model

Syllable nucleus Durations Estimation using Linear Regressio...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Jingli Lu Ruili Wang Liyanage C. De Silva Yang Gao State Key Laboratory of Novel Software Technology Nanjing University Nanjing China School of Engineering and Advanced Technology Massey University Palmerston North New Zealand Faculty of Science Universiti Brunei Darussalam Brunei Darussalam Department of Computer Science Nanjing University Nanjing China

Unlike conventional automatic continuous speech segmentation models that deal with each boundary time-mark individually, in this paper, we propose an interval-data-based linear regression model for syllable nucleus durations estimation (LRM-DE), which treats syllable boundary time-marks in pairs. This characteristic of LRM-DE makes it more suitable for estimating syllable durations for English sentences, which can be used for sentence stress detection. LRM-DE combines the outcomes of multiple base automatic speech segmentation machines (ASMs) to generate final boundary time-marks that miminize the average distance of the predicted and reference boundary-pairs of syllable nuclei. Experimental results show that on TIMIT dataset, LRM-DE reduces the average difference between the predicted syllable nucleus durations and their reference ones from 13.64 ms (the best result of a single ASM) to 11.81 ms. Also, LRM-DE improves the syllable nucleus segmentation accuracy from 81.59% to 83.98% within a tolerance of 20 ms.

关键词： Linear regression

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Grid-aware approach to data statistics, data understanding and data preprocessing

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International Journal of High Performance Computing and Networking 2009年第1期6卷 15-24页

作者： Wöhrer, Alexander Novakova, Lenka Brezany, Peter Tjoa, A. Min Institute for Scientific Computing Faculty of Computer Science University of Vienna Nordbergstrasse 15/C/3 1090 Vienna Austria Czech Technical University in Prague Faculty of Electrical Engineering Department of Cybernetics Technicka 2 166 27 Prague 6 Czech Republic Institute of Software Technology Vienna University of Technology Favoritenstr. 9 - 11/188 1040 Wien Austria

In recent years the focus of grid computing shifted towards more data intensive applications, increasingly needing access to various public and private databases. Relocating the code for Data Preprocessing (DPP) closer towards the data source is the overall task of the D3 Gframework. This paper presents the data service side architecture to gather Data Statistics (DS) on-the-fly, use them in remote DPP methods on query results and gather exact continuous DS for whole tables inside a database. The performance results are showing low running costs for the continuous DS and the feasibility of the service side DPP functionality. Copyright © 2009, Inderscience Publishers.

关键词： Grid computing

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Assessing the needs of CSCL tool and its impacts in Malaysian context

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WSEAS Transactions on computer Research 2008年第5期3卷 300-310页

作者： Kasirun, Z.M. Salim, S.S. Department of Software Engineering Faculty of Computer Science and Information Technology University of Malaya 50603 Kuala Lumpur Malaysia

Reviewing on computer-supported collaborative learning (CSCL) tools revealed that CSCL is important to support collaborative learning (CL) strategy in school. Existing CSCL applications are mostly research-based and are not available for use. Through a survey on the needs for CSCL in Malaysia, it is confirmed that CSCL application is needed but the available one could not support CL activities. This paper discusses CSCL study in Malaysia, especially the relationship between user involvement and type of CSCL application needed. In particular, the CSCL application that could associate existing knowledge among students to build new knowledge for their better understanding and problem solving skills. We examine this need and assess its impact by developing Collaborative Environment for Teaching and Learning System (CETLs).

关键词： Learning systems

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