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Student Conference on research and Development, SCOReD 2003

作者： Syed, A.R. Najih, AbduI Mawla M.A. Ramli, Abdul Rahman Ibrahim, Azizah Multimedia and Imaging Systems Research Group Department of Computer and Communication System Engineering University Putra Malaysia Serdang43400 Malaysia

ISBN: (纸本)0780381734

Speech compression is one area of digital signal processing that focusing on reducing the bit rate of the speech signal for transmission or storage without significant loss of quality. In recent years a new technique called wavelet transform has been proposed for signal analysis. It has been successfully used in image compression application. So far, less attention has been paid to the research in the speech compression . using wavelet. This paper attempts to evaluate the wavelet compression technique on speech signals Different wavelet filters were used to select the best filter suitable for speech signal in providing low bit rate and IOW computation complexity. Our implementation was evaluated base on PSNR, SNR, NRMSE and compression ratio tested on 8 kHz bit speech signals. This algorithm was also compared to the following speech compression schemes: Linear Productive Coding (LPC) which reduces the transmitted data by factor of more than twelve, and Global system Mobile (GSM) which reduces the transmitted data by factor of five As a result from this study, wavelet speech compression gives higher SNR and better speech quality than the other techniques. © 2003 IEEE.

关键词： Wavelet transforms

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Region based segmentation technique and algorithms for 3D image

Region based segmentation technique and algorithms for 3D im...

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6th International Symposium on Signal Processing and Its Applications, ISSPA 2001

作者： Salih, Qussay A. Ramli, Abdul Rahman Multimedia and Imaging Systems Research Group Department of Computer and Communication System University Putra Malaysia 43400 Serdang Selangor Malaysia

ISBN: (纸本)0780367030

Region growing is a general technique for image segmentation, where image characteristics are used to group adjacent pixels together to form regions. This paper presents a parallel algorithm for solving the region growing problem based on the split and merge approach, and uses it to test and compare various parallel architecture models. Image segmentation is the process by which the original image is partitioned into some meaningful regions. It is the foundation of higher level processing;eg, object recognition. Both algorithms are supposed to segment 2D as well as 3D data sets. An objective comparison performs the evaluation using specified region growing, splitting and merging, and region segmentation. © 2001 IEEE.

关键词： Image segmentation

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Photorefractive bi-directional connection module with mutual-pumped phase conjugate mirror

Photorefractive bi-directional connection module with mutual...

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Information Optics and Photonics Technology

作者： Kori, Kazumasa Okamoto, Atsushi Takayama, Yoshihisa Bunsen, Masatoshi Funakoshi, Hisatoshi Ito, Terumasa Research Group of Computer and Communication System Graduate School of Engineering Hokkaido University Wireless Communications Department National Institute of Information and Communications Technology Research Group of Computer and Communication System Graduate School of Engineering Hokkaido University Kita13-Nishi8 Kita-ku Sapporo 060-8628 Japan

The purpose of this study is to apply a free-space optical interconnection to a reconfigurable board-to-board connection where the wiring patterns connecting boards are optically formed without electrical-optical conversion. We regard a photorefractive bi-directional connection module (PBCM) based on a mutually pumped phase conjugate mirror as a key device to construct such a connection network and employ PBCMs at input/output interfaces of each board. Although optical behaviors of PBCM are influenced by the exposure conditions, we especially focus on the diameter of beams illuminating photorefractive media placed inside PBCM so as to find some geometrical restrictions hi a design of networking system. Through numerical analyses, we show a sample configuration of PBCM for the board-to-board interconnection and present a conceptual design of input/output interface.

关键词： Optical interconnects

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Patterns analysis and classification for web proxy cache

Patterns analysis and classification for web proxy cache

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2011 11th International Conference on Hybrid Intelligent systems, HIS 2011

作者： Ali, Waleed Shamsuddin, Siti Mariyam Ismail, Abdul Samed Soft Computing Research Group Faculty of Computer Science and Information System Universiti Teknologi Malaysia 81310 Johor Malaysia Department of Communication and Computer Systems Faculty of Computer Science and Information System Universiti Teknologi Malaysia 81310 Johor Malaysia

ISBN: (纸本)9781457721502

Web caching is one of the most successful solutions for improving the performance of Web-based systems. In Web proxy caching, the popular Web objects that are likely to be revisited in the near future are stored on the proxy server, which plays the key roles between users and Web sites in reducing the response time of user requests and saving the network bandwidth. However, the difficulty in determining which Web objects will be re-visited in the future is still a problem faced by existing Web proxy caching techniques. In this paper, machine learning techniques are implemented to cope with the above problem. We present new intelligent approaches, which depend on the capability of Support vector machine (SVM) and decision tree (C4.5) to learn from Web proxy logs file and predict the classes of objects to be re-visited or not. Experimental results have revealed that SVM and C4.5 produce very promising performance and much faster compared to both back-propagation neural network (BPNN) and neuro-fuzzy system (ANFIS). © 2011 IEEE.

关键词： Decision trees

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Photorefractive bi-directional connection module with mutual-pumped phase conjugate mirror

Photorefractive bi-directional connection module with mutual...

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Photonics Asia 2004:Information Processing and Data Storage

作者： Kazumasa Kori Atsushi Okamoto Yoshihisa Takayama Masatoshi Bunsen Hisatoshi Funakoshi Terumasa Ito Research Group of Computer and Communication System Graduate School of Engineering Hokkaido University Research Group of Computer and Communication System Graduate School of Engineering Hokkaido University Wireless Communications Department National Institute of Information and Communications Technology Research Group of Computer and Communication System Graduate School of Engineering Hokkaido University Research Group of Computer and Communication System Graduate School of Engineering Hokkaido University Research Group of Computer and Communication System Graduate School of Engineering Hokkaido University

关键词： Photorefractive effect, Free-space optical interconnection, Mutually pumped phase conjugate mirror

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SiamSTU: Hyperspectral video tracker based on spectral spatial angle mapping enhancement and state aware template update

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Infrared Physics & Technology 2025年

作者： Dong Zhao Haorui Zhang Pattathal V. Arun Changzhe Jiao Huixin Zhou Pei Xiang Kuanhong Cheng Jiangsu Province Engineering Research Center of Photonic Devices and System Integration for Communication Sensing Convergence Wuxi University Wuxi 214105 China Computer Science and Engineering Group Indian Institute of Information Technology Sri City 441108 India School of Artificial Intelligence Xidian University Xi’an 710051 China School of Physics Xidian University Xi’an 710051 China School of Computer Science and Engineering Xi’an University of Technology Xi’an 710051 China

Recently, the research in hyperspectral video tracking has gained wide attention, and the Siamese-based approaches have reported the state-of-the-art results. However, most of the state-of-the-art approaches have several limitations, including the failure of the dimensionality reduction (DR) to enhance the target and suppress the background. Also, the target and search branches of most these approaches operate independently without exchanging information, and the target template remains unchanged during tracking. In this regard, the current paper introduces a novel model to overcome these challenges. Firstly, we apply spectral spatial angle mapping enhancement for DR, which not only reduces the dimensionality but also improves the distinction between the target and background. Secondly, an information exchange (IE) module is employed to facilitate feature-sharing between the search and target branches. Additionally, a state-aware template update mechanism is proposed, where the template pool is dynamically updated based on their replaceability at each frame. The advantage of our proposed method lies in its utilization of spectral characteristics to refine and enhance the dimensionality-reduced image on a pixel-by-pixel basis, thereby enriching the texture of the target image. Through the IE module, it enhances the exchange of information between the target and search branches, overcoming the limitations of traditional Siamese architectures. Additionally, it employs a dynamic template update mechanism that adjusts the target template during each iteration to address the challenges posed by sudden movements of the target. Comprehensive experiments and comparisons with state-of-the-art trackers illustrate the state-of-the-art performance of the proposed approach.

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Vehicle Routing Problem with Time Windows using Hybrid Metaheuristic Dragonfly Algorithm and Variable Neighborhood Search: Work on Progress 11

Vehicle Routing Problem with Time Windows using Hybrid Metah...

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11th International Conference on Electrical Engineering, computer Science and Informatics, EECSI 2024

作者： Yunita, Yunita Stiawan, Deris Rini, Dian Palupi Sriwijaya University Faculty of Computer Science Indonesia Sriwijaya University Intelligent System Research Group Faculty of Computer Science South Sumatera Palembang Indonesia Sriwijaya University Communication Network and Information Security Research Group Faculty of Computer Science South Sumatera Palembang Indonesia Sriwijaya University Image Processing Dan Pattern Recognition Laboratory Group Faculty of Computer Science South Sumatera Palembang Indonesia

ISBN: (纸本)9798350355314

One of the problems with Smart Transportation is the problem of cost and travel time. This problem is known as the Variable Routing Problem (VRP). In some real cases, in addition to considering route selection, there are limitations on the capacity and time period for the vehicle to serve each customer known as Time Windows, so VRP has developed into Variable Routing Problem with Time Windows (VRPTW). One way to solve VRPTW is to use metaheuristic methods. However, the metaheuristic method has a weakness, which are it can get stuck in local optimums and fail to find better global solutions. To overcome this, a combination with other methods or known as hybrid is needed. The formulation of this research problem is how to develop a Smart transportation model using a metaheuristic hybrid algorithm. The purpose of this study is to develop a Smart transportation model using a metaheuristic hybrid algorithm. The method used is to combine two metaheuristic algorithms, which are the Dragonfly Algorithm (DA) and the Variable Neighborhood Search (VNS). The result of this research is a new algorithm model which is a hybrid between DA and VNS. Through a combination of global exploration using DA and local exploitation using VNS, this algorithm is expected to be able to find a better solution and faster convergence in solving VRPTW problems © 2024 IEEE.

关键词： Travel time

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Intelligent Web caching using neurocomputing and particle swarm optimization algorithm

Intelligent Web caching using neurocomputing and particle sw...

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2nd Asia International Conference on Modelling and Simulation, AMS 2008

作者： Sulaiman, Sarina Shamsuddin, Siti Mariyam Forkan, Fadni Abraham, Ajith Soft Computing Research Group Faculty of Computer Science and Information System Universiti Teknologi Malaysia Skudai Johor Malaysia Centre for Quantifiable Quality of Service in Communication Systems Norwegian University of Science and Technology Trondheim Norway

ISBN: (纸本)9780769531366

Web caching is a technology for improving network traffic on the internet. It is a temporary storage of Web objects (such as HTML documents) for later retrieval. There are three significant advantages to Web caching;reduced bandwidth consumption, reduced server load, and reduced latency. These rewards have made the Web less expensive with better performance. In this paper, an Artificial Intelligence (AI) approach is introduced for Web caching to determine the type of Web request, either to cache or not, and to optimize the performance on Web cache. Two methods are employed in this study;Artificial Neural Network (ANN), and Particle Swarm Optimization (PSO). The experimental results have revealed that some improvements have been accomplished compared to the existing technique in terms of Web cache size. © 2008 IEEE.

关键词： Neural networks

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Automatic Bowel Preparation Assessment Using Deep Learning 26th

Automatic Bowel Preparation Assessment Using Deep Learning

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26th International Conference on Pattern Recognition, ICPR 2022

作者： Haithami, Mahmood Salah Ahmed, Amr Liao, Iman Yi Altulea, Hamid Jalab School of Computer Science University of Nottingham Semenyih Malaysia School of Computer Science University of Nottingham Nottingham United Kingdom Department of Computer System and Technology Faculty of Computer Science and Information Technology Universiti Malaya Kuala Lumpur Malaysia Information and Communication Technology Research Group Scientific Research Center Al-Ayen University Dhi Qar Iraq

ISBN: (纸本)9783031376597

Bowel preparation is considered a critical step in colonoscopy. Manual bowel preparation assessment is time consuming and prone to human errors and biases. Automatic Bowel evaluation using machine/deep learning is a better and efficient alternative. Most of the relevant literature have focused on achieving high validation accuracy, where private handy-picked dataset does not reflect real-environment situation. Furthermore, treating a video dataset as a collection of individual frames may produce overestimated results. This is due to the fact a video contains nearly identical consecutive frames, hence, dividing them into training and validation sets yields two similar distributed datasets. Given a public dataset, Nerthus, we show empirically a significant drop in performance when a video dataset is treated as a collection of videos (depicting the real environment/context), instead of a collection of individual frames. We propose a model that utilizes both sequence and none-sequence (spatial) information within videos. The proposed model achieved on average 83% validation accuracy across 4 validation sets, whereas, the state-of-the-art models achieved on average a range of 66%–72% validation accuracy. © 2023, Springer Nature Switzerland AG.

关键词： Deep learning

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Non-invasive electromyography-based fatigue detection and performance analysis on m. biceps brachii muscle

Non-invasive electromyography-based fatigue detection and pe...

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2012 IEEE International Conference on Control system, Computing and Engineering, ICCSCE 2012

作者： Ahamed, N. Sundaraj, K. Ahmad, R.B. Rahman, M. Islam, A. Ali, A. AI-Rehab Research Group Universiti Malaysia Perlis Malaysia School of Mechatronic Engineering Universiti Malaysia Perlis Malaysia School of Computer and Communication Engineering Universiti Malaysia Perlis Malaysia College of Computer Science and Information System Najran Univeristy Saudi Arabia

ISBN: (纸本)9781467331432

Muscle fatigue occurs most frequently due to repetitive movements in our day-To-day activities. The powerful use of muscles might cause a decline in performance. In this study, the effects of muscle fatigue involving only the m. biceps brachii muscle in the dominant upper arm were investigated during the course of an arm wrestling game where the muscle contractions were produced by the winner and loser, respectively. This competition was conducted to monitor the progress/ decline of muscle strength among young players. Eight male subjects (age: 26±3 years, height: 170±13 cm, weight: 70±13 kg and BMI: 21±4) were participated in this study. Electrodes were placed on the middle of the biceps muscle to record the electromyography (EMG) signals. Each group (two players) participated twice with each other, and the EMG signals were recorded. Muscle fatigue was analyzed and compared using the first-Time and second-Time EMG data. The results were evaluated by calculating the average EMG, root mean square (RMS) and the highest peak of the signal during muscle contraction. Among these, RMS and highest peak values helped in efficiently assessing muscle fatigue. Most of the results indicated that m. biceps muscle reduced its strength during the second game;also, winners performance were found to be better than the losers (according to EMG amplitudes). The current findings regarding the m. biceps brachii muscle might prove to be useful in developing effective injury prevention and rehabilitation strategies, and other physiological measurements related to the upper arm muscles. © 2012 IEEE.

关键词： Electromyography

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