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Health Index Determination of Aged High Voltage Substation in Distribution System

Health Index Determination of Aged High Voltage Substation i...

International Conference on Electrical engineering/Electronics, computer, Telecommunications and Information Technology, ECTI-CON

作者： Chaiyaboon Somboonchaiwong Thanapong Suwanasri Cattareeya Suwanasri Electrical and Software Systems Engineering The Sirindhorn International Thai-German Graduate School of Engineering King Mongkut’s University of Technology North Bangkok 1518 Pracharat 1 Rd. Bangsue Bangkok Thailand Electrical and Computer Engineering Faculty of Engineering King Mongkut’s University of Technology North Bangkok 1518 Pracharat 1 Rd. Bangsue Bangkok Thailand

This paper presents condition assessment of high voltage equipment and substation as health index. Major equipment of high voltage substation consists of circuit breaker, disconnecting switch, current transformer, voltage transformer and surge arrester. The condition of equipment is assessed by visual inspection and electrical test. The weighting and scoring method is applied throughout the process of health index calculation. The Analytic Hierarchy Process is used to calculate the weight for each criterion. The conditional score and its weight of each testing are used to calculate the weighting average score. Then, the obtained weighting average score is adjusted by visual inspection, maintenance completeness and failure rate of equipment. The adjusted average score of all equipment in a bay is integrated into bay health index and subsequently adjusted by age and operational stress of bay. Finally, the health index of fifteen substations can be determined.

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A hybrid Particle swarm optimization -Extreme Learning Machine approach for Intrusion Detection System

A hybrid Particle swarm optimization -Extreme Learning Machi...

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Student Conference on Research and Development (SCOReD)

作者： Mohammed Hasan Ali Mohamad Fadlizolkipi Ahmad Firdaus Nik Zulkarnaen Khidzir Faculty of Computer Systems & Software Engineering Universiti Malaysia Pahang Pahang Faculty of Creative Technology and Heritage Universiti Malaysia Kelantan Malaysia

ISBN: (纸本)9781538691762;9781538691755

There are several limitations that facing intrusion-detection system in current days, such as high rates of false positive alerts, low detection rates of rare but dangerous attacks. Daily, there are reports of incidents such as major ex-filtration of data for the purposes of stealing identities. Hybrid model's approaches have been widely used to increase the effectiveness of intrusion-detection platforms. This work proposes the extreme learning machine (ELM) is one of the poplar machine learning algorithms which, easy to implement with excellent learning performance characteristics. However, the internal power parameters (weight and basis) of ELM are initialized at random, causing the algorithm to be unstable. The Particle swarm optimization (PSO) is a well-known meta-heuristic which is used in this research to optimize the ELM. Our propose model has been apple based as intrusion detection and validated based on NSL-KDD data set. Our developed model has been compared against a basic ELM. PSO-ELM has outperformed a basic model in the testing accuracy.

关键词： Neurons Particle swarm optimization Intrusion detection Optimization Machine learning algorithms Data models Support vector machines

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Review of deep convolution neural network in image classification

Review of deep convolution neural network in image classific...

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2017 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, ICRAMET 2017

作者： Al-Saffar, Ahmed Ali Mohammed Tao, Hai Talab, Mohammed Ahmed Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang Pahang Malaysia

ISBN: (纸本)9781538638491

With the development of large data age, Convolutional neural networks (CNNs) with more hidden layers have more complex network structure and more powerful feature learning and feature expression abilities than traditional machine learning methods. The convolution neural network model trained by the deep learning algorithm has made remarkable achievements in many large-scale identification tasks in the field of computer vision since its introduction. This paper first introduces the rise and development of deep learning and convolution neural network, and summarizes the basic model structure, convolution feature extraction and pooling operation of convolution neural network. Then, the research status and development trend of convolution neural network model based on deep learning in image classification are reviewed, which is mainly introduced from the aspects of typical network structure construction, training method and performance. Finally, some problems in the current research are briefly summarized and discussed, and the new direction of future development is forecasted. © 2017 IEEE.

关键词： Image recognition

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E-learning prospect on improving academic performance in Omani Universities

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IOP Conference Series: Materials Science and engineering 2019年第1期551卷

作者： Ragad M. Tawafak Awanis Romli Ruzaini Abdullah Arshah Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang 26300 Kuantan Pahang Malaysia

This paper will discuss the impact of E-Learning prospect on the improvement of learner academic performance of Oman universities. The study explains the needs to expand working on E-Learning models and continue use of face to face traditional educational process. The real problem faced education is a need for several applications and technologies to improve their outputs and improve on teacher-student prospect. This paper aims to present an expanded review of different E-learning models to evaluate the prospect of their academic performance. The method of this paper divided into two phases. In the first phase, including the analysis of different technologies and most used tools affected in the educational process to measure the acceptance of learning outcomes. The Second phase, show the testing and validation of learner prospect of E-Learning to enhance the learning process and improve the academic performance.

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Weather Data Analysis Using Hadoop: Applications and Challenges

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IOP Conference Series: Materials Science and engineering 2019年第1期551卷

作者： Mohammed Adam Ibrahim Fakherldin Khalid Adam Noor Akma Abu Bakar Mazlina Abdul Majid Faculty of Computer Science and Information Systems Jazan University Faculty of Electric and Electronic Engineering Universiti Malaysia Pahang Faculty of Computer System & Software Engineering Universiti Malaysia Pahang

Weather data is very crucial in every aspect of human daily life. It plays an important role in many sectors such as agriculture, tourism, government planning, industry and so on. Weather has a variety of parameters like temperature, pressure, humidity and wind speed. The meteorological department deployed sensors for each weather parameter at different geographical locations to collect data. This data is stored mostly in the unstructured format. Thus, a big amount of data has been collected and archived. Therefore, storage and processing of this big data for accurate weather prediction is a huge challenge. Hadoop an apache product it used to support big data sets in a distributed environment. Hadoop has greatest advantages over scalable and fault-tolerant distributed processing technologies. This paper explains a system that uses the historical weather data of a region and apply the MapReduce and Hadoop techniques to analysis these historical data.

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Environmental Risks in Supply Chain: Recommendations and Directions for Future Research

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IOP Conference Series: Materials Science and engineering 2019年第1期551卷

作者： Arwa Mukhtar Awanis Romli Mansoor Abdullateef Hael Al-bashiri Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang Kuantan 26300 Malaysia Faculty of Computer and Cyber Science Software Engineering University Prince Mugrin Al-Madinah 41499 Saudi Arabia

This paper explores the environmental risks in supply chains and provides recommendations for subsequent studies. Typically, the environmental responsibility is a core part of sustainability which focuses attention directly to protecting and restoring the environment. Furthermore, environmental awareness is essential to design globally distributed supply chain networks. Therefore, the aim of this research is to explore the environmental risks and to identify the available solutions along with a projection of future trends. The basic research steps have been followed to complete this work. The Findings of this research describes the environmental risks that arises during supply chains operations. Furthermore, recommended solutions have been highlighted to address the identified risks. The Blockchain technology is regarded as a suitable solution for the environmental risks issue. The motivation for recommending this technology is its capabilities to contribute effectively towards greening the supply chain operations.

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Indoor Air Quality (IAQ) Sensing Device Prototype: software-Hardware Architecture and Performance

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IOP Conference Series: Materials Science and engineering 2019年第1期551卷

作者： A Nor Azhar M Rahmah AH Roslina Z Fauziah Department of Computer Science Faculty of Computer Systems & Software Engineering Universiti Malaysia Pahang Lebuhraya Tun Razak Gambang 26300 Kuantan Pahang Malaysia Department of Graphic & Multimedia Technology Faculty of Computer Systems & Software Engineering Universiti Malaysia Pahang Lebuhraya Tun Razak Gambang 26300 Kuantan Pahang Malaysia Department of Software Engineering Faculty of Computer Systems & Software Engineering Universiti Malaysia Pahang Lebuhraya Tun Razak Gambang 26300 Kuantan Pahang Malaysia

In a green environment, air quality is among the prominent aspects to be considered to prevent pollution and in turn maintain safe air. Sick Building Syndrome (SBS) and Building Related Illness (BRI) are the problems that must be encountered by building occupants. Existing devices are quite expensive, and more attention is needed on monitoring air quality. Therefore, this paper discusses a software-hardware architecture proposal to overcome the existing IAQ data retrieval performance problem. The objective of this work is to analyse the most recent IAQ sensing device developed by the researcher, to evaluate the performance attribute, and to implement the software-hardware architecture based on the Performance-Driven software Architecture Refactoring (PDSAR) method. In order to assess the overall performance of the architecture proposed, the prototype of the Indoor Air Quality (IAQ) sensing device was developed. The testing was performed during a period of six months. The results demonstrate that the average performance for 540 readings is 76.67%. This shows that the architecture can be accepted as a generic IAQ sensing device development structure. The device act as an alternative, cheaper and safer device which can be employed by all building owners in the future.

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A Review on Simulation and Modelling for Patient Flow in Emergency Department

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IOP Conference Series: Materials Science and engineering 2019年第1期551卷

作者： Nidal Hamza Mazlina Abdul Majid Khalid Adam Noor Akma Abu Bakar Faculty of Computer Systems & Software Engineering Universiti Malaysia Pahang Malaysia Faculty of Electrical and Electronics Engineering Universiti Malaysia Pahang Malaysia

At the moment, most of the hospitals are more interested in patient satisfaction because this has been identified as a main issue of quality of service indexes. In most of the Asian countries' the type of registration system being operated in the healthcare systems are a sort of mixed-mode. Specifically, there are scheduled patients, as well as patients who just walk in and register. Unfortunately, this type of registration structure could increase the patient waiting period even in emergency cases. Interestingly, various methodologies have been explored in order to shorten this undesirable waiting time. This paper focuses on exploration of the characteristics and significance of existing models and simulation techniques from the literature. The combination of agent-based modelling (ABM), DES and integration of DES and ABS technique has been chosen as the solution to modelling patient emergency waiting time in the emergency department realistically. The proactive and independent characteristics of agents in both approaches will contribute to the good representation of patient emergency waiting time in the especially in the emergency department.

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Implementation evaluation of Cuckoo search for the benchmark Rosenbrock test function 8th

Implementation evaluation of Cuckoo search for the benchmark...

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8th International Conference on Information Technology, ICIT 2017

作者： Beneoluchi Odili, Julius Romli, Awanis Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang Kuantan26300 Malaysia

ISBN: (纸本)9781509063321

This paper presents the implementation evaluation of the benchmark Rosenbrock test function with particular emphasis on the effect of the search population and iterations count in the Cuckoo Search algorithm's quest for good solutions. After a number of experimental procedures, this study reveals that deploying a population of 10 nests is sufficient to obtain good solutions to the Rosenbrock test function (or any similar problem to this test landscape). In fact, increasing the search population to 50 nests was a demerit to the Cuckoo Search as it resulted in longer processing time and worse outcomes. In terms of the iteration count, it was discovered that the Cuckoo Search can obtain good results in as little as 100 to 10,000 iterations. The outcome of this study is beneficial to the research community as it will help in facilitating the choice of parameters whenever one is confronted with a similar problem. © 2017 IEEE.

关键词： Iterative methods

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Multipath routing protocol based on cross-layer approach for MANET

International Journal of Interactive Mobile Technologies

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International Journal of Interactive Mobile Technologies 2017年第1期11卷 71-83页

作者： Allahham, Alaa Azmi Mohammed, Muamer N. Kadhim, Nassir Sallom Faculty of Computer Systems and Software Engineering University Malaysia Pahang Kuantan Pahang26300 Malaysia IBM Center of Excellence Kuantan Pahang26300 Malaysia

Mobile Ad-hoc Networks (MANETs) involved in many applications, whether smart or traditional and for both civilian and military uses, and that because of their special features, where it does not depend on any infrastructure during its working, as well as the nodes in MANETs have a freedom of movement with the ability to self-configure, in addition, to working as a router or client at the same time. Moreover, MANETs considered as an infrastructure less network, so the cost of this type of networks is less in comparison to other traditional networks. On the other hand, the routing considered one of most important challenges in MANETs due to the perpetual motion and randomness of the nodes that can causing a continuous change of the network topology and thus to all paths between nodes, where finding valid paths between the nodes is the core task of routing protocols. Recently, it has been argued that the traditional layered architecture is ineffective to deal with receiving signal strength related problems. In an effort to improve the performance of MANETs, there has been increased in protocols that rely on cross-layer interaction between different layers. In this paper, a Cross-layer design among Network, MAC and Physical layers based on Threshold Multipath Routing Protocol (CTMRP) is proposed. The CTMRP is designed for decision maker based on threshold value of average paths signal for efficient transmission of the Text, image, audio and video as well as sending the data via multiple paths, which mitigate the negatives effects causes from forcing the nodes to send the data via single. The Route Discovery Delay, Number of RREQ Messages, Number of RREP Messages, End-to-End Delay, Packet Delivery Ratio (PDR), and Throughput were selected as the main performance evaluation metrics. The results show that the proposed algorithm has better performance and lead to increase stability of transmission link.

关键词： Mobile ad hoc networks

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