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.
Articles
539 Documents
<![CDATA[Intelligent flood disaster warning on the fly: developing IoT-based management platform and using 2-class neural network to predict flood status ]]>
<![CDATA[Salami Ifedapo Abdullahi]]>;
<![CDATA[Mohamed Hadi Habaebi]]>;
<![CDATA[Noreha Abd Malik]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 2: June 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v8i2.1504
<![CDATA[The number of natural disasters occurring yearly is increasing at an alarming rate which has caused a great concern over the well-being of human lives and economy sustenance. The rainfall pattern has also been affected and this has caused immense amount of flood cases in recent times. Flood disasters are damaging to economy and human lives. Yearly, millions of people are affected by floods in Asia alone. This has brought the attention of the government to develop a flood forecasting method to reduce flood casualties. In this article, a flood mitigation method will be evaluated which incorporates a miniaturized flow, water level sensor and pressure gauge. The data from the two sensors are used to predict flood status using a 2-class neural network. Real-time monitoring of the data from the sensor into Thingspeak channel were possible with the use of NodeMCU ESP8266. Furthermore, Microsoft’s Azure Machine Learning (AzureML) has built-in 2-class neural network which was used to predict flood status according to predefine rule. The prediction model has been published as Web services through AzureML service and it enables prediction as new data are available. The experimental result showed that using 3 hidden layers has the highest accuracy of 98.9% and precision of 100% when 2-class neural network is used.]]>
<![CDATA[A novel bio-inspired routing algorithm based on ACO for WSNs ]]>
<![CDATA[Afsah Sharmin]]>;
<![CDATA[F. Anwar]]>;
<![CDATA[S. M. A. Motakabber]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 2: June 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v8i3.1492
<![CDATA[The methods to achieve efficient routing in energy constrained wireless sensor networks (WSNs) is a fundamental issue in networking research. A novel approach of ant colony optimization (ACO) algorithm for discovering the optimum route for information transmission in the WSNs is proposed here for optimization and enhancement. The issue of path selection to reach the nodes and vital correspondence parameters, for example, the versatility of nodes, their constrained vitality, the node residual energy and route length are considered since the communications parameters and imperatives must be taken into account by the imperative systems that mediate in the correspondence procedure, and the focal points of the subterranean insect framework have been utilized furthermore. Utilizing the novel technique and considering both the node mobility and the existing energy of the nodes, an optimal route and best cost from the originating node to the target node can be detected. The proposed algorithm has been simulated and verified using MATLAB and the simulation results demonstrate that new ACO based algorithm achieved improved performance, about 30% improvement compared with the traditional ACO algorithm, and faster convergence to determine the best cost route, and recorded an improvement in the energy consumption of the nodes per transmission.]]>
<![CDATA[The disruptometer: an artificial intelligence algorithm for market insights ]]>
<![CDATA[Mimi Aminah binti Wan Nordin]]>;
<![CDATA[Dmitry Vedenyapin]]>;
<![CDATA[Muhammad Fahreza Alghifari]]>;
<![CDATA[Teddy Surya Gunawan]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 2: June 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v8i2.1494
<![CDATA[Social media data mining is rapidly developing to be a mainstream tool for marketing insights in today’s world, due to the abundance of data and often freely accessed information. In this paper, we propose a framework for market research purposes called the Disruptometer. The algorithm uses keywords to provide different types of market insights from data crawling. The preliminary algorithm data-mines information from Twitter and outputs 2 parameters-Product-to-Market Fit and Disruption Quotient, which is obtained from a brand’s customer value proposition, problem space, and incumbent space. The algorithm has been tested with a venture capitalist portfolio company and market research firm to show high correlated results. Out of 4 brand use cases, 3 obtained identical results with the analysts ‘studies.]]>
<![CDATA[Comparative study on the accelerated thermal aging behavior between palm and rapeseed natural ester oils ]]>
<![CDATA[N. L. M. Ridzuan]]>;
<![CDATA[N. A. Bakar]]>;
<![CDATA[S. A. Ghani]]>;
<![CDATA[I. S. Chairul]]>;
<![CDATA[N. H. A. Aziz]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 3: September 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v8i3.1590
<![CDATA[The suitability of natural ester oils as an insulating medium in power transformers is discussed in this paper. Owing to environmental concerns, natural ester oils have great potential as mineral oil substitutes in power transformers. In this paper, the aging behaviors of palm and rapeseed natural ester oils were compared with that for mineral oil. The performance of these natural ester oils was assessed based on their properties (moisture content, acidity, and relative content of dissolved decay products) after accelerated thermal aging. The results showed that the palm oil has better performance compared to the rapeseed oil after accelerated thermal aging for 1500 h because of its lower acidity. This was further supported by the presence of sludge in the rapeseed oil after 1500 h of aging.]]>
<![CDATA[Non-radiative wireless energy transfer with single layer dual-band printed spiral resonator ]]>
<![CDATA[Lai Ly Pon]]>;
<![CDATA[Sharul Kamal Abdul Rahim]]>;
<![CDATA[Chee Yen Leow]]>;
<![CDATA[Tien Han Chua]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 3: September 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v8i3.1593
<![CDATA[Accomplishing equilibrium in terms of transfer efficiency for dual-band wireless energy transfer (WET) system remains as one of key concerns particularly in the implementation of a single transmitter device which supports simultaneous energy and data transfer functionality. Three stages of design method are discussed in addressing the aforementioned concern. A single layer dual-band printed spiral resonator for non-radiative wireless energy transfer operating at 6.78 MHz and 13.56 MHz is presented. By employing multi-coil approach, measured power transfer efficiency for a symmetrical link separated at axial distance of 30 mm are 72.34% and 74.02% at the respective frequency bands. When operating distance is varied between 30 mm to 38 mm, consistency of simulated peak transfer efficiency above 50% is achievable.]]>
<![CDATA[Top oil heat distribution pattern of ONAN corn oil based transformer with presence of hot spot study using FEMM ]]>
<![CDATA[M. A. Husin]]>;
<![CDATA[Nordiana Azlin binti Othman]]>;
<![CDATA[N. A. Muhammad]]>;
<![CDATA[H. Kamarden]]>;
<![CDATA[M. S. Kamarudin]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 3: September 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v8i3.1602
<![CDATA[Transformer thermal modelling is a crucial aspect to be considered as this may help the determination of heat capacity of transformer. This paper present, simulation study on Oil Natural Air Natural (ONAN) transformer heat distribution pattern with and without presence of hot spot temperature (HST). This paper aims to compare the effects of different HST value at different locations inside the transformer unit as well as to evaluate the top oil thermal behaviour of corn oil as cooling mechanism in a transformer. To achieve aforementioned objectives, three HSTs were introduced to the 30 MVA transformer winding to find the total heat build-up in the top of the transformer tank. The outcome of thermal properties is examined using x-y temperature plot. From the results found that the location of HST affects overall transformer’s temperature. HST at the top of the winding give a significant effect compared to when HST is at the bottom of the winding. It is also evident that the usage of corn oil reduced the temperature distribution of the transformer. The findings suggest that the temperature distribution study especially on transformer is important to monitor in-service transformer in a non-invasive manner.]]>
<![CDATA[A Review on SVC control for power system stability with and without auxiliary controller ]]>
<![CDATA[Zalina Kamis]]>;
<![CDATA[Mohd Ruddin Ab.Ghani]]>;
<![CDATA[Muhammad Nizam Kamarudin]]>;
<![CDATA[Hairol Nizam Mohd Shah]]>;
<![CDATA[Jano Zanariah]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 3: September 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v8i3.1318
<![CDATA[Since the beginning of the last century, power system stability has been recognized as a vital problem in securing system operation. Power system instability has caused many major blackouts. This paper reviewed the previous technical works consisting of various methods of optimization in controlling power system stability. The techniques presented were compared to optimize the control variables for optimization of power system stability. Power system stability enhancement has been investigated widely in literature using different ways. This paper is focusing on SVC performance for enhancing power system stability either through SVC controlled itself or SVC controlled externally by other controllers. Static VAR compensators (SVCs) are used primarily in power system for voltage control as either an end in itself or a means of achieving other objectives, such as system stabilization.The analysis on performance of the previous work such as advantages and findings of a robust method approach in each technique was included in this paper.]]>
<![CDATA[Comparison on space charge and voltage distribution of high voltage insulator subjected to different contamination levels ]]>
<![CDATA[N. A. Samuri]]>;
<![CDATA[Nordiana Azlin binti Othman]]>;
<![CDATA[M. A. M. Piah]]>;
<![CDATA[N. A. M. Jamail]]>;
<![CDATA[H. Rosli]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 3: September 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v8i3.1585
<![CDATA[This paper presents the study of space charge distribution on high voltage (HV) insulators under different levels of contamination. Two types of HV insulators were used in this work particularly glass and porcelain insulators. A string of 4-unit glass and porcelain insulators with 33 kV of lines voltage was designed and simulated using QuickfieldTM software. Four levels of contamination layer with different thickness have been applied on the surface of insulators to observe the effect of space charge distribution. Simulation results show that different types of insulators used at transmission lines give different effects on charge and voltage distribution. It is also found that the amplitude of charge for a single porcelain insulator is much higher compared to a single glass insulator. Similarly for a string of 4-unit insulators, the voltage distribution along the creepage distance of porcelain insulators is much higher compared to glass insulators under all contamination levels.]]>
<![CDATA[Design, simulation and practical experimentation of miniaturized turbine flow sensor for flow meter assessment ]]>
<![CDATA[Salami Ifedapo Abdullahi]]>;
<![CDATA[Mohamed Hadi Habaebi]]>;
<![CDATA[Noreha Abd Malik]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 3: September 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v8i3.1501
<![CDATA[Flow sensors are very essential in many aspects of our daily lives. Many of the industrial processes need a very consistent flow sensor to monitor and check for irregularities in their system. Therefore, flow sensor is an important tool for advanced operation in industrial environment. In this paper, the design and development of a 3D fabricated flow sensor was carried out using SolidWork 3D CAD. SolidWork Flow Simulation was used to model the effect the turbine flow sensor would have on a constant flowing water while MATLAB Simulink flow graph was created to visualize the effect of turbine flow sensor response with voltage input. Afterwards, the design was 3D printed using UP Plus 2 3D printer. The experimentation involved selection of sensors, coding to control the turbine flow sensor and automatic data logging and storage. During the design phase, the sensors and actuators were assembled using locally sourced material. Subsequently, under controlled laboratory environment, the turbine flow sensor was tested using a DC motor which was programmed to control the revolution per minute(rpm) of the turbine flow sensor. The rpm and velocity of the turbine flow meter was measured and stored in a database via Microsoft Excel using Cool Term Software. A total number of 517 readings were analysed to evaluate the performance of the turbine flow sensor. The result shows that the turbine flow meter is responsive to the motor input voltage and yielded accurate measurement of rpm and velocity of turbine flow meter.]]>
<![CDATA[Frequency dependency analysis for differential capacitive sensor ]]>
<![CDATA[Nurul Arfah Che Mustapha]]>;
<![CDATA[A. H. M. Zahirul Alam]]>;
<![CDATA[Sheroz Khan]]>;
<![CDATA[Amelia Wong Azman]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 3: September 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v8i3.1524
<![CDATA[A differential capacitive sensing technique is discussed in this paper. The differential capacitive sensing circuit is making use of a single power supply. The design focus for this paper is on the excitation frequency dependency analysis to the circuit. Theory of the differential capacitive sensor under test is discussed and derivation is elaborated. Simulation results are shown and discussed. Next, results improvement has also been shown in this paper for comparison. Test was carried out using frequency from 40 kHz up to 400 kHz. Results have shown output voltage of Vout=0.07927 Cx+1.25205 and good linearity of R-squared value 0.99957 at 200 kHz. Potential application for this capacitive sensor is to be used for energy harvesting for its potential power supply.]]>
