Bulletin of Electrical Engineering and Informatics
Bulletin of Electrical Engineering and Informatics ISSN: 2302-9285 is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication, computer engineering, computer science, information technology and informatics from the global world. The journal publishes original papers in the field of electrical (power), electronics, instrumentation & control, telecommunication and computer engineering; computer science; information technology and informatics. Authors must strictly follow the guide for authors. Please read these instructions carefully and follow them strictly. In this way you will help ensure that the review and publication of your paper is as efficient and quick as possible. The editors reserve the right to reject manuscripts that are not in accordance with these instructions.
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539 Documents
<![CDATA[A genetic algorithm based task scheduling system for logistics service robots ]]>
<![CDATA[Sariffuddin Harun]]>;
<![CDATA[Mohd Faisal Ibrahim]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 1: March 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v8i1.1437
<![CDATA[The demand for autonomous logistics service robots requires an efficient task scheduling system in order to optimise cost and time for the robot to complete its tasks. This paper presents a Genetic algorithm (GA) based task scheduling system for a ground mobile robot that is able to find a global near-optimal travelling path to complete a logistics task of pick-and-deliver items at various locations. In this study, the chromosome representation and the fitness function of GA is carefully designed to cater for a single load logistics robotic task. Two variants of GA crossover are adopted to enhance the performance of the proposed algorithm. The performance of the scheduling is compared and analysed between the proposed GA algorithms and a conventional greedy algorithm in a virtual map and a real map environments that turns out the proposed GA algorithms outperform the greedy algorithm by 40% to 80% improvement.]]>
<![CDATA[ETOU electricity tariff for manufacturing load shifting strategy using ACO algorithm ]]>
<![CDATA[M. F. Sulaima]]>;
<![CDATA[N. Y. Dahlan]]>;
<![CDATA[M. H. Isa]]>;
<![CDATA[M. N. Othman]]>;
<![CDATA[Z. M. Yasin]]>;
<![CDATA[H. A. Kasdirin]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 1: March 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v8i1.1438
<![CDATA[This paper presents load shifting strategy for cost reduction on manufacturing electricity demand side, by which a real test load profile had been used to prove the concept. Superior bio-inspired algorithm, Ant Colony Optimization (ACO) had been implemented to optimize the upright load profile of load shifting strategy in the Malaysia Enhance Time of Use (ETOU) tariff condition. Subsequently, significant simulation results of operation profit gain through 24 hours electricity consumption had been analyzed properly. The proposed method had shown reduction of approximately 6% of the electricity cost at peak and mid peak zones, when 20%, 40%, 60%, 80% and 100% load shifting weightages were applied to the identified 10% controlled loads consequently. It is hoped that the finding of this study can help poise the manufacturers to switch to ETOU tariff as well as support the national Demand Side Management (DSM) program.]]>
<![CDATA[Face recognition attendance system using Local Binary Pattern (LBP) ]]>
<![CDATA[Shamsul J. Elias]]>;
<![CDATA[Shahirah Mohamed Hatim]]>;
<![CDATA[Nur Anisah Hassan]]>;
<![CDATA[Lily Marlia Abd Latif]]>;
<![CDATA[R. Badlishah Ahmad]]>;
<![CDATA[Mohamad Yusof Darus]]>;
<![CDATA[Ahmad Zambri Shahuddin]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 1: March 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v8i1.1439
<![CDATA[Attendance is important for university students. However, generic way of taking attendance in universities may include various problems. Hence, a face recognition system for attendance taking is one way to combat the problem. This paper will present an automated system that will automatically saves student’s attendance into the database using face recognition method. The paper will elaborate on student attendance system, image processing, face detection and face recognition. The face detection part will be done by using viola-jones algorithm method while the face recognition part will be carried on by using local binary pattern (LBP) method. The system will ensure that the attendance taking process will be faster and more accurate.]]>
<![CDATA[The evaluation performance of letter-based technique on text steganography system ]]>
<![CDATA[Roshidi Din]]>;
<![CDATA[Rosmadi Bakar]]>;
<![CDATA[Sunariya Utama]]>;
<![CDATA[Jamaluddin Jasmis]]>;
<![CDATA[Shamsul Jamel Elias]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 1: March 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v8i1.1440
<![CDATA[Steganography is a part of information hiding in covering the hidden message in any medium such as text, image, audio, video and others. This paper concerns about the implementation of steganography in text domain called text steganography. It intends to concentrate on letter-based technique as one of the representative techniques in text steganography. This paper displays some techniques of letter-based that is integrated in one system technique displayeed in a logical and physical design. The integrated system is evaluated using some parameter that is used in order to discover the performance in term of capacity after embedding process and the time consuming in the development process. This paper is anticipated to contribute in describing the implementation of the techniques in one system and to display the performance some parameter evaluation.]]>
<![CDATA[Performance analysis on secured data method in natural language steganography ]]>
<![CDATA[Roshidi Din]]>;
<![CDATA[Rosmadi Bakar]]>;
<![CDATA[Raihan Sabirah Sabri]]>;
<![CDATA[Mohamad Yusof Darus]]>;
<![CDATA[Shamsul Jamel Elias]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 1: March 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v8i1.1441
<![CDATA[The rapid amount of exchange information that causes the expansion of the internet during the last decade has motivated that a research in this field. Recently, steganography approaches have received an unexpected attention. Hence, the aim of this paper is to review different performance metric; covering the decoding, decrypting and extracting performance metric. The process of data decoding interprets the received hidden message into a code word. As such, data encryption is the best way to provide a secure communication. Decrypting take an encrypted text and converting it back into an original text. Data extracting is a process which is the reverse of the data embedding process. The effectiveness evaluation is mainly determined by the performance metric aspect. The intention of researchers is to improve performance metric characteristics. The evaluation success is mainly determined by the performance analysis aspect. The objective of this paper is to present a review on the study of steganography in natural language based on the criteria of the performance analysis. The findings review will clarify the preferred performance metric aspects used. This review is hoped to help future research in evaluating the performance analysis of natural language in general and the proposed secured data revealed on natural language steganography in specific.]]>
<![CDATA[FACTS device installation in transmission system using whale optimization algorithm ]]>
<![CDATA[Irham Syafiq Shahbudin]]>;
<![CDATA[Ismail Musirin]]>;
<![CDATA[Saiful Izwan Suliman]]>;
<![CDATA[Afdallyna Fathiyah Harun]]>;
<![CDATA[Sharifah Azma Syed Mustaffa]]>;
<![CDATA[Hadi Suyono]]>;
<![CDATA[Nor Azura Md Ghani]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 1: March 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v8i1.1442
<![CDATA[As the world is progressing forward, the load demand in the power system has been continuously increasing day by day. This situation has forced the power system to operate under stress condition due to its limitation. Therefore, due to the stressed condition, the transmission losses faced higher increment with a lower minimum voltage. Theoretically, the installation of the Flexible AC Transmission System (FACTS) device can solve the problem experienced by the power system. This paper presents the whale optimization algorithm for loss minimization using FACTS devices in the transmission system. Thyristor controlled series compensator (TCSC) is chosen for this study. In this study, WOA is developed to identify the optimal sizing of FACTS device for loss minimization in the power system. IEEE 30- bus RTS was used as the test system to validate the effectiveness of the proposed algorithm.]]>
<![CDATA[Performance comparison of distributed generation installation arrangement in transmission system for loss control ]]>
<![CDATA[S. A. S.]]>;
<![CDATA[I. Musirin]]>;
<![CDATA[S. I. Sulaiman]]>;
<![CDATA[M. H. Mansor]]>;
<![CDATA[S. A. Syed Mustaffa]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 1: March 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v8i1.1443
<![CDATA[Placing Distributed Generation (DG) into a power network should be planned wisely. In this paper, the comparison of having different installation arrangement of real-power DGs in transmission system for loss control is presented. Immune-brainstorm-evolutionary programme (IBSEP) was chosen as the optimization technique. It is found that optimizing fixed-size DGs locations gives the highest loss reduction percentage. Apart from that, scattered small-sized DGs throughout a network minimizes transmission loss more than allocating one biger-sized DG at a location.]]>
<![CDATA[Development of Respiratory Rate Estimation Technique Using Electrocardiogram and Photoplethysmogram for Continuous Health Monitoring ]]>
<![CDATA[Nazrul Anuar Nayan]]>;
<![CDATA[Rosmina Jaafar]]>;
<![CDATA[Nur Sabrina Risman]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 7, No 3: September 2018 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v7i3.1244
<![CDATA[Abnormal vital signs often predict a serious condition of acutely ill hospital patients in 24 hours. The notable fluctuations of respiratory rate (RR) are highly predictive of deteriorations among the vital signs measured. Traditional methods of detecting RR are performed by directly measuring the air flow in or out of the lungs or indirectly measuring the changes of the chest volume. These methods require the use of cumbersome devices, which may interfere with natural breathing, are uncomfortable, have frequently moving artifacts, and are extremely expensive. This study aims to estimate the RR from electrocardiogram (ECG) and photoplethysmogram (PPG) signals, which consist of passive and non-invasive acquisition modules. Algorithms have been validated by using PhysioNet’s Multiparameter Intelligent Monitoring in Intensive Care II (MIMIC-II)’s patient datasets. RR estimation provides the value of mean absolute error (MAE) for ECG as 1.25 bpm (MIMIC-II) and 1.05 bpm for the acquired data. MAE for PPG is 1.15 bpm (MIMIC-II) and 0.90 bpm for the acquired data. By using 1-minute windows, this method reveals that the filtering method efficiently extracted respiratory information from the ECG and PPG signals. Smaller MAE for PPG signals results from fewer artifacts due to easy sensor attachment for the PPG because PPG recording requires only one-finger pulse oximeter sensor placement. However, ECG recording requires at least three electrode placements at three positions on the subject’s body surface for a single lead (lead II), thereby increasing the artifacts. A reliable technique has been proposed for RR estimation.]]>
<![CDATA[Wavelet energy moment and neural networks based particle swarm optimisation for transmission line protection ]]>
<![CDATA[Salah Sabry Daiboun Sahel]]>;
<![CDATA[Mohamed Boudour]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 1: March 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v8i1.1214
<![CDATA[In this study, a combined approach of discrete wavelet transform analysis and a feed forward neural networks algorithm to detect and classify transmission line faults. The proposed algorithm uses a multi -resolution analysis decoposition of three-phasecurrents only to calculate the wavelet energy moment of detailed coefficients. In comparison with the energy spectrum, the energy moment could reveal the energy distribution features better, which is beneficial when extracting signal features. Theapproach use particle swarm optimization algorithm to train a feed forward neural network. The goal is the enhancement of the convergence rate, learning process and fill up the gap of local minimum point.The purposed scheme consists of two FNNs, one for detecting and another for classifying all the ten types of faults using Matlab/Simulink. The proposed algorithm have been extensively tested on a system 400 kV, 3 phases, 100 km line consideringvarious fault parameter variations.]]>
<![CDATA[Robust composite nonlinear feedback for nonlinear Steer-by-Wire vehicle’s Yaw control ]]>
<![CDATA[Sarah 'Atifah Saruchi]]>;
<![CDATA[Mohd Hatta Mohammed Ariff]]>;
<![CDATA[Hairi Zamzuri]]>;
<![CDATA[Noraishikin Zulkarnain]]>;
<![CDATA[Mohd Hanif Che Hasan]]>;
<![CDATA[Sheikh Muhammad Hafiz Fahami]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 1: March 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v8i2.1228
<![CDATA[Yaw control is a part of an Active Front Steering (AFS) system, which is used to improve vehicle manoeuvrability. Previously, it has been reported that the yaw rate tracking performance of a linear Steer-by-Wire (SBW) vehicle equipped with a Composite Nonlinear Feedback (CNF) controller and a Disturbance Observer (DOB) is robust with respect to side wind disturbance effects. This paper presents further investigation regarding the robustness of the combination between a CNF and a DOB in a nonlinear environment through a developed 7-DOF nonlinear SBW vehicle. Moreover, in contrast to previous studies, this paper also contributes in presenting the validation works of the proposed control system in a real-time situation using a Hardware-in-Loop (HIL) platform. Simulation and validation results show that the CNF and DOB managed to reduce the influence of the side wind disturbance in nonlinearities.]]>
