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Bulletin of Electrical Engineering and Informatics
ISSN : -     EISSN : -     DOI : -
Core Subject : Engineering,
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Articles 76 Documents
Search results for , issue "Vol 8, No 3: September 2019" : 76 Documents clear
A comparative study of PSO, GSA and SCA in parameters optimization of surface grinding process Teh Muy Shin; Asrul Adam; Amar Faiz Zainal Abidin
Bulletin of Electrical Engineering and Informatics Vol 8, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (746.308 KB) | DOI: 10.11591/eei.v8i3.1586

Abstract

The selection of parameters in grinding process remains as a crucial role to guarantee that the machined product quality is at the minimum production cost and maximum production rate. Therefore, it is required to utilize more advance and effective optimization methods to obtain the optimum parameters and resulting an improvement on the grinding performance. In this paper, three optimization algorithms which are particle swarm optimization (PSO), gravitational search, and Sine Cosine algorithms are employed to optimize the grinding process parameters that may either reduce the cost, increase the productivity or obtain the finest surface finish and resulting a higher grinding process performance. The efficiency of the three algorithms are evaluated and comparedwith previous results obtained by other optimization methods on similar studies.The experimental results showed that PSO algorithm achieves better optimization performance in the aspect of convergence rate and accuracy of best solution.Whereas in the comparison of results of previous researchers, the obtained result of PSO proves that it is efficient in solving the complicated mathematical model of surface grinding process with different conditions.
Histogram-based multilayer reversible data hiding method for securing secret data Chaidir Chalaf Islamy; Tohari Ahmad
Bulletin of Electrical Engineering and Informatics Vol 8, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (694.063 KB) | DOI: 10.11591/eei.v8i3.1321

Abstract

In this modern age, data can be easily transferred within networks. This condition has brought the data vulnerable; so they need protection at all times. To minimize this threat, data hiding appears as one of the potential methods to secure data. This protection is done by embedding the secret into various types of data, such as an image. In this case, histogram shifting has been proposed; however, the amount of secret and the respective stego image are still challenging. In this research, we offer a method to improve its performance by performing some steps, for example removing the shifting process and employing multilayer embedding. Here, the embedding is done directly to the peak of the histogram which has been generated by the cover. The experimental results show that this proposed method has a better quality of stego image than existing ones. So, it can be one of possible solutions to protect sensitive data.
Solar irradiance uncertainty management based on Monte Carlo-beta probability density function: case in Malaysian tropical climate N. Md. Saad; M. Z. Sujod; M. I. M. Ridzuan; M. F. Abas; M. S. Jadin; M. S. Bakar; A. Z. Ahmad
Bulletin of Electrical Engineering and Informatics Vol 8, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1812.039 KB) | DOI: 10.11591/eei.v8i4.1581

Abstract

In recent years, solar PV power generation has seen a rapid growth due to environmental benefits and zero fuel costs. In Malaysia, due to its location near the equator, makes solar energy the most utilized renewable energy resources. Unlike conventional power generation, solar energy is considered as uncertain generation sources which will cause unstable energy supplied. The uncertainty of solar resource needs to be managed for the planning of the PV system to produce its maximum power. The statistical method is the most prominent to manage and model the solar irradiance uncertainty patterns. Based on one-minute time interval meteorological data taken in Pekan, Pahang, West Malaysia, the Monte Carlo-Beta probability density function (Beta PDF) is performed to model continuous random variable of solar irradiance. The uncertainty studies are needed to optimally plan the photovoltaic system for the development of solar PV technologies in generating electricity and enhance the utilization of renewable energy; especially in tropical climate region.
Time series data measurement on electricity consumption for selected domestic appliances in typical terrace house of Malaysia Naja Aqilah; Sheikh Ahmad Zaki Shaikh Salim; Aya Hagishima; Nelidya Md Yusoff; Fitri Yakub
Bulletin of Electrical Engineering and Informatics Vol 8, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1840.736 KB) | DOI: 10.11591/eei.v8i4.1601

Abstract

This paper describes the pattern of electricity consumption from total and selected domestic appliances at a typical terrace house in Malaysia. The measured appliances can be classified into four groups on the basis of pattern of use which are ‘standby’ (TV), ‘active’ (massage chair, charger of hand phone, laptop and power bank, washing machine, air-conditioners, iron, standing fan, shower heaters, rice cooker, toaster, microwave), ‘cold’ (refrigerator) and ‘cold and hot’ (water dispenser). The major contribution of monthly electricity consumption comes from ‘cold’ appliances that consume 118.8 kWh/month followed by ‘active’ appliances that consume 87.8 kWh/month and ‘cold and hot’ appliance with 52.5 kWh/month. ‘Standby’ appliances shown a small contribution to the total electricity with 0.9 kWh/month. The amount of energy consumed depends on time-of-use, power characteristics of particular appliances as well as occupancy period.
Virgin coconut oil dielectrical properties as electrical insulation material Siti Syafiqah Mat Sauki; Nor Asiah Muhamad; Zawani Amirah Rasid
Bulletin of Electrical Engineering and Informatics Vol 8, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (403.025 KB) | DOI: 10.11591/eei.v8i4.1603

Abstract

Mineral oil played an important role as insulating liquid such as to reduce failure, ageing effect, increase the life span and heat transfer agent. Mineral oil had a good dielectric strength and cooling performance but it had serious negative environmental impact like non-biodegradable, non-renewable resource and difficult to dispose when it deteriorates completely. Hence, virgin coconut oil (VCO) was chosen as alternative to replace mineral oil since it biodegrades completely without toxic and easy to get in the tropical country. Three dielectric tests were conducted to investigate the dielectric properties of VCO. Those were breakdown voltage, water content and kinematic viscosity. A study about the effect of the moisture level of VCO on the breakdown voltage and kinematic viscosity was also presented. VCO and mineral oil also undergone heating process to reduce moisture in sample. The study showed that VCO has good potential breakdown voltage with the ability to absorb a lot of moisture keeping the KRAFT paper dry. However, VCO had very high kinematic viscosity compared to mineral oil. Further, the rate of breakdown voltage decreases with increasing of moisture of VCO was lower than mineral oil.
Analysis on the voltage stability on transmission network with PV interconnection Karmila Kamil; Muhammad Amirul Ashraf Ab Rahman; Chong Kok Hen; Halimatun Hashim; Mohd Helmi Mansor
Bulletin of Electrical Engineering and Informatics Vol 8, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (436.406 KB) | DOI: 10.11591/eei.v8i4.1632

Abstract

Voltage stability means the ability of the power system network to maintain steady-state voltage value at all buses in the system under normal condition and after being subjected to a disturbance. This research highlights the effect of solar photovoltaic (PV) as the subject of disturbance to the network system as this kind of energy source has emerged towards higher level of integration into the national grid. High penetration of solar PV into the grid may cause several issues of stability and security to the system particularly effecting the normal voltage and line overloading. This research is focused on the simulation of power flow to study the transmission network behavior with and without the solar PV interconnection. To accomplish the research objectives, the network system will be modelled in a software known as Power System Simulator for Engineering (PSSE). The simulation result will be discussed and analyzed using Voltage Stability Indices (VSI) to prove and strengthen the theory behind the literature review.