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7th International Conference on Information Technology and Application, ICITA 2011

作者： Šprager, Sebastijan Donlagić, Denis Zazula, Damjan University of Maribor Faculty of Electrical Engineering and Computer Science System Software Laboratory Smetanova ulica 17 SI-2000 Maribor Slovenia University of Maribor Faculty of Electrical Engineering and Computer Science Laboratory for Electro-Optics and Sensor Systems Smetanova ulica 17 SI-2000 Maribor Slovenia

ISBN: (纸本)9780980326741

The paper presents a method for monitoring heartbeats based on time-frequency analysis of optic interferometric signal by using smoothed pseudo Wigner-Ville distribution. Optical interferometer is a sensitive device that detects physical changes of the length of optical fibre. When put in mattress, heartbeats of a subject lying on the fibre causes its perturbation. This allows entirely unobtrusive and continuous monitoring of subject's heart rate by processing interferometric signal. Reference ECG signals were acquired in order to verify recognition rate and accuracy of proposed method. An experiment with 6 subjects was performed. Interferometric and referential signals were acquired simultaneously for about 60 s. The obtained results show high recognition rate (about 97% with persons breathing and 98% with persons holding their breath).

关键词： Optical fibers

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Analysis of Joint Channel Estimation and Joint Data Detection in TD-SCDMA systems

Analysis of Joint Channel Estimation and Joint Data Detectio...

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Asia-Pacific Conference on Communications

作者： Ali K. Marzook A. Ismail B. M. Ali A. Sali Mohannad H. Khalaf S. Khatun Department of Computer and Communication Systems Engineering Faculty of Engineering University Putra Malaysia Computer Engineering Department Basrah University Faculty of Computer Systems and Software Engineering University Malaysia Pahang

ISBN: (纸本)9781457703898

Time Division-Synchronous Code Division Multiple Access (TD-SCDMA) has several attractive characteristics that made it capable of meeting the requirements of G4 systems when applied as a platform directly. Joint detections, the unpaired spectrums with flexible sharing of resources, and some other advanced properties leads TD-SCDMA to achieve high data rate services. In this paper a comprehensive analysis is presented that involve accurate Joint Channel Estimation (JCE) for traditional and enhanced estimators based on two criterions: Least square (LS) & Minimum Mean Square Error (MMSE) at two scenarios of users' movements. In addition to a comprehensive Multi-Users Joint Detection (MUJD) is improved to mitigate Multiple Access Interference (MAI) and Inter-Symbol Interference (ISI) using the following detectors: Matched Filter (MF), Zero Forcing Block Linear Equalizer (ZF-BLE), and Minimum Mean Square Error Block Linear Equalizer (MMSE-BLE) for traditional and enhanced channel estimation criterions. Simulation results showed that equalizers fed by Channel Impulse Response (CIR) optimized according to enhanced LS or MMSE give a better performance to that ones when CIR obtained from traditional LS or MMSE criterion. The using of MMSE give the opportunity to implement adaptive equalizes to cope with fast fading and/or non stationary interference environments.

关键词： TD-SDMA system Joint channel estimation (JCE) Multi-users joint detection (MUJD)

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Scalable rekeying algorithm in IEEE 802.16e

Scalable rekeying algorithm in IEEE 802.16e

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17th Asia Pacific Conference on Communications, APCC 2011

作者： Sadeghi, Mohammad Mehdi Gilanian Ali, Borhanuddin Mohd Ma, Maode Manan, Jamalul-Lail Ab Noordin, Nor Kamariah Khatun, Sabira Department of Computer and Communication Systems Engineering Universiti Putra Malaysia Malaysia School of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore Cluster MIMOS Berhad Malaysia Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang Malaysia Institute of Advanced Technology Universiti Putra Malaysia Malaysia

ISBN: (纸本)9781457703881

IEEE 802.16e standard provides wide coverage and high bandwidth for subscribers in a metropolitan area network. It introduces Multicast and Broadcast Rekeying Algorithm (MBRA) which is a multicasting scheme to communicate with many users concurrently. Although ELAPSE (for Efficient sub-Linear rekeying Algorithm with Perfect SEcrecy) improves on the deficiencies of MBRA, the algorithm poorly responds to scalability issue. This paper proposes a Scalable Rekeying Algorithm (SRA) based on a complete binary tree structure. SRA is introduced with linear linked list structure in order to make the system more scalable. Evaluation analysis shows that SRA manages to improve the scalability issue in MBRA for Mobile WiMAX. © 2011 IEEE.

关键词： Scalability

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Malaysian car plates recognition using freeman chain codes and characters' features

Malaysian car plates recognition using freeman chain codes a...

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2nd International Conference on software engineering and computer systems, ICSECS 2011

作者： Jusoh, Nor Amizam Mohamad Zain, Jasni School of Science and Technology IKIP International College Kampus 3 Kuantan Pahang 25050 Malaysia Faculty of Computer Systems and Software Engineering University Malaysia of Pahang Kuantan Pahang 25000 Malaysia

ISBN: (纸本)9783642221699

Car plate recognition (CPR) system is an important application of image detection and recognition used to overcome the challenges of monitoring modern day traffic. The Freeman chain codes (FCC) is applied in this research to study on the accuracy and efficiency of this technique as an alternative recognition approach to recognize characters on car plates because of its ability to recognize characters and digits successfully. Therefore, this paper is mainly focused on conducting an experiment using FCC to test on its accuracy and efficiency in characters recognition with the support of characters' features because FCC alone does not provide an accurate and efficient recognition result. The result shows that the combination of FCC with characters' features (FCCwF) yields 95% recognition accuracy. As a conclusion, FCC can be an accurate and efficient technique only if the image quality is high and without any noise which might disturbing the recognition process or if it is combined with another technique. © 2011 Springer-Verlag.

关键词： Image segmentation

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A New Binary Vote Assignment on Grid Algorithm to Manage Replication in Distributed Database Environment

A New Binary Vote Assignment on Grid Algorithm to Manage Rep...

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International Conference on computer Communication and Management（ICCCM 2011）

作者： Ainul Azila Che Fauzi A.Noraziah Noriyani Mohd Zain A.H.Beg Faculty of Computer Systems & Software Engineering University Malaysia Pahang Pahang Malaysia

Data replication is one of the mechanisms in data grid architecture since it improves data access and reliability. Therefore, the storage, availability, and consistency are important issues to be addressed in order to allow distributed users efficiently and safely access data from many different sites. This paper presents a new algorithm namely Binary Vote Assignment on Grid techniques to manage transaction and replication for distributed database systems. The main objective of this technique is to preserve consistency in database environment. Result shows that managing replication and transaction through proposed algorithm able to prepare data consistency.

关键词： Data replication, Replication algorithm, Synchronous, BVAG, data grid.

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Segmenting and hiding data randomly based on index channel

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International Journal of computer Science Issues 2011年第3 3-1期8卷 522-529页

作者： Khalaf, Emad T. Sulaiman, Norrozila Faculty of Computer Systems and Software Engineering University Malaysia Pahang Kuantan 26300 Malaysia

Information hiding is a technique of hiding secret using redundant cover data such as images, audios, movies, documents, etc. In this paper, a new technique of hiding secret data using LSB insertion is proposed, by using the RGB channels of the cover image for hiding segmented data. One of the three channels became the index to the two other channels. Firstly, the secret data are segmented into Even segment and Odd segment. Then, four bits of each segment is hidden separately inside the two channels depending on the numbers of "1"s inside the index channel. If the numbers were Even, then four bits of Even segment will be hidden. However, if they were Odd then four bits of Odd segment will be hidden. The opposite process retrieve the secret data from image by reading the bits of the index channel and check the numbers of "1"s to extract the Even segment and Odd segment. Finally, recombining the two segments to extract the secret data. Experimental results show that the proposed method can provide high data security with acceptable stego-images.

关键词： Steganography

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Hybrid simple artificial immune system (SAIS) and particle swarm optimization (PSO) for spam detection

Hybrid simple artificial immune system (SAIS) and particle s...

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Malaysian Conference in software engineering (MySEC)

作者： Saber Salehi Ali Selamat Software Engineering Research Group Department of Software Engineering Faculty of Computer Science & Information Systems University of Technology of Malaysia Johor Malaysia

Spam detection is a significant problem which considered by many researchers by various developed strategies. Among many others, simple artificial immune system is one of those being proposed. There is a deficiency in number of optimization methods in simple artificial immune system (SAIS). This problem can be solved and eliminated using other optimization methods besides mutation. In this research, SAIS was hybridized by particle swarm optimization (PSO) for optimizing the performance of SAIS for spam filtering. PSO was used with mutation to reinforce the immune system's searches to find the best class in exemplar for classification. Achieved results represent the Hybrid SAIS and PSO is superior to that of a SAIS.

关键词： Immune system Classification algorithms Electronic mail Training data Accuracy Optimization Filtering

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An hybrid model through the fusion of sensitivity based linear learning method and type-2 fuzzy logic systems for modeling PVT properties of crude oil systems

An hybrid model through the fusion of sensitivity based line...

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2011 5th Malaysian Conference in software engineering, MySEC 2011

作者： Olatunji, Sunday Olusanya Selamat, Ali Raheem, Abdul Azeez Abdul Intelligent Software Engineering Laboratory Faculty of Computer Science and Information Systems University Teknologi Malaysia 81310 UTM Skudai Johor Malaysia Centre for Petroleum and Minerals Research Institute King Fahd University of Petroleum and Mineral Dhahran 31261 Saudi Arabia

ISBN: (纸本)9781457715310

Sensitivity based linear learning method (SBLLM) has recently been used as predictive tool due to its unique characteristics and performance, particularly its high stability and consistency during predictions. However, the generalization capability of SBLLM is sometimes limited depending on the nature of the dataset, particularly on whether uncertainty is present in the dataset or not. In order to reduce the effects of uncertainties in SBLLM prediction and improve its generalization ability, this paper proposes a hybrid system through the unique combination of type-2 fuzzy logic systems (type-2 FLS) and SBLLM;thereafter the hybrid system was used to model PVT properties of crude oil systems. In the proposed hybrid, the type-2 FLS is used to handle uncertainties in reservoir data so that the final output from the type-2 FLS is then passed to the SBLLM for training and then final prediction using testing dataset follows. Comparative studies have been carried out to compare the performance of the proposed T2-SBLLM hybrid system with each of the constituent type-2 FLS and SBLLM. Empirical results from simulation show that the proposed T2-SBLLM hybrid model greatly improved upon the performance of SBLLM. © 2011 IEEE.

关键词： Feedforward neural networks

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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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A Mobile Camera Tracking System Using GbLN-PSO with an Adaptive Window

A Mobile Camera Tracking System Using GbLN-PSO with an Adapt...

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International Conference on Computational Intelligence, Modelling and Simulation (CSSIM)

作者： Zalili Musa Rohani Abu Bakar Junzo Watada Faculty of Computer System and Software Engineering University of Malaysia Kuantan Pahang Malaysia Faculty of Computer System and Software Engineering University Malaysia Pahang Kuantan Malaysia Graduate School of Information Production & Systems Waseda University Fukuoka Japan

The availability of high quality and inexpensive video camera, as well as the increasing need for automated video analysis is leading towards a great deal of interest in numerous applications. However the video tracking systems is still having many open problems. Thus, some of research activities in a video tracking system are still being explored. Generally, most of the researchers are used a static camera in order to track an object motion. However, the use of a static camera system for detecting and tracking the motion of an object is only capable for capturing a limited view. Therefore, to overcome the above mentioned problem in a large view space, researcher may use several cameras to capture images. Thus, the cost will increases with the number of cameras. To overcome the cost increment a mobile camera is employed with the ability to track the wide field of view in an environment. Conversely, mobile camera technologies for tracking applications have faced several problems; simultaneous motion (when an object and camera are concurrently movable), distinguishing objects in occlusion, and dynamic changes in the background during data capture. In this study we propose a new method of Global best Local Neighborhood Oriented Particle Swarm Optimization (GbLN-PSO) to address these problems. The advantages of tracking using GbLN-PSO are demonstrated in experiments for intelligent human and vehicle tracking systems in comparison to a conventional method. The comparative study of the method is provided to evaluate its capabilities at the end of this paper.

关键词： Cameras Tracking Particle swarm optimization Mobile communication Kalman filters Dynamics Vehicle dynamics

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