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Bulletin of Electrical Engineering and Informatics
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Core Subject : Engineering,
Bulletin of Electrical Engineering and Informatics (Buletin Teknik Elektro dan Informatika) ISSN: 2089-3191, e-ISSN: 2302-9285 is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication and computer engineering from the global world. The journal publishes original papers in the field of electrical, computer and informatics engineering.
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Articles 2,901 Documents
A lightweight security scheme for advanced metering infrastructures in smart grid S. M. Salim Reza; Afida Ayob; Md Murshedul Arifeen; Nowshad Amin; Mohd Hanif Md Saad; Aini Hussain
Bulletin of Electrical Engineering and Informatics Vol 9, No 2: April 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (735.834 KB) | DOI: 10.11591/eei.v9i2.2086

Abstract

Smart Grid (SG) enlarges the traditional power grid into a new dimension where millions of electronic devices relate to each other through Advanced Metering Infrastructures (AMI) network using information and communication technology (ICT). The integration of ICT to the traditional power grid opens the path for the adversaries to invade through various cyber-attacks. Resource constrained electronic devices connected in AMI with the SG claims for faster, low power, less processing time and overall lightweight security schemes to prevent the cyber-attacks and to make the grid secure from adversaries. In this paper, a lightweight security scheme has been proposed consolidating ChaCha20 data encryption method, chaos based key generation and public key-based authentication scheme. Mathematical analysis shows that the proposed scheme is suitable to be used in SGs in terms of low power, less processing time and high throughput which makes it lightweight and faster. This scheme also prevents any kind of timing attacks such as replay attack.
Development of integrated loose fruit collector machine for oil palm plantations Mohd Zulfahmi Mohd Yusoff; A. Zamri; M. Z. A. Abd Kadir; W. Z. Wan Hassan; N. Azis
Bulletin of Electrical Engineering and Informatics Vol 9, No 2: April 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (446.701 KB) | DOI: 10.11591/eei.v9i2.2087

Abstract

Oil palm loose fruit have always been part of oil palm harvesting operation. The current manual loose fruit collection by hand picking or raking is contributing to the minimum productivity and large amounts of debris. Effort in future shall be explored for the potential machine or system to collect the loose fruit in the field with the result of clean loose fruit. A new machine for loose fruit collection is being developed and examined which knows as integrated oil palm loose fruit collection machine for collecting loose fruit from the palm base. Consist of three main integrated stages; the suction stage is used to collect the loose fruit, followed by segregating stage, which used to segregate the loose fruit from debris through double layer rotating drum and unloading stage of loose fruit to the 3-4 metric tons bin by using hydraulic tipping cylinder. Result indicates that at least more than 50% productivity of loose fruit collection were increased. In addition, the clean loose fruit collection resulted with the debris less than 10%. Hence, with this development, better quality loose fruits are collected with minimum debris for further processing in the palm oil mill, which will contribute to better oil extraction rate.
Need analysis for the development of a microcontroller instructional module programming literacy Yusriza Mohamd Yusof; Afida Ayob; Mohamad Hanif Md Saad; Haryanti Mohd Affandi; Aini Hussain
Bulletin of Electrical Engineering and Informatics Vol 9, No 2: April 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (364.805 KB) | DOI: 10.11591/eei.v9i2.2077

Abstract

In the era of the IR 4.0, the use of information technology among school students is widespread but students are not proficient in computer programming. To compete in the digital world, students need to be exposed to computer programming in order to produce computer programming experts. Integrating computer programming into the school curriculum can improve students literacy of computer programming but adequate computer programming skill among teachers are quite limited. Therefore, the development of microcontroller instructional teaching module which could address this problem is needed. This development aims to develop the module using design and developmental research (DDR) approach. Need Analysis phase in DDR is discussed in this article. The phase consists of identifying the level of knowledge, attitudes and practices of teachers about microcontroller and to obtain the views and opinions of the teachers on the developmental needs of microcontroller teaching modules. The type of microcontroller and the programming language to be used in the microcontroller module also identified.The results of this study are important to ensure that the design and development of an instructional module for microcontroller education are implemented and have a positive impact on increasing the programming literacy level among secondary school children.
City i-Tick: The android based mobile application for students’ attendance at a university S. R. Alimin; N. H. Abdul Hamid; Z. A. Nasruddin
Bulletin of Electrical Engineering and Informatics Vol 9, No 3: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (707.027 KB) | DOI: 10.11591/eei.v9i3.2078

Abstract

This paper presents City i-Tick, the android based mobile application for students’ attendance at a university. In this study, we developed mobile application for lecturers to take students’ attendance in City University, Petaling Jaya. Managing students’ attendance during lecture periods has become a difficult challenge. The research objectives for this study are to identify user requirement for City i-Tick, to design and develop City i-Tick, and to demonstrate the prototype of City i-Tick. The study is a narrative participatory design and exploits Design Thinking as the research methodology. City i-Tick was successfully validated by 14 lecturers and System Usability Scale (SUS) was used to determine the findings of the study. We found that City i-Tick is effective for lecturers in taking attendance because it is easy to use, easy to learn, and the users feel confident when using this application.
Automated segmentation and detection of T1-weighted magnetic resonance imaging brain images of glioma brain tumor Nur Hanina Izani Muhammad Zaihani; Rosniza Roslan; Zaidah Ibrahim; Khyrina Airin Fariza Abu Samah
Bulletin of Electrical Engineering and Informatics Vol 9, No 3: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (527.118 KB) | DOI: 10.11591/eei.v9i3.2079

Abstract

There are numerous studies on brain imaging applications.  The statistics in Malaysia showed that glioma is one of the most common type disease in brain tumor.  Glioma brain tumor is an abnormal growth of glial cells inside the brain tissues which known as cerebral tissues.  Radiologist commonly used Magnetic Resonance Imaging (MRI) image sequences to diagnose the brain tumor.  However, manual examination of the brain tumor diagnosis by radiologist is difficult and time-consuming task as tumors are occurred in variability of shape and appearance.  They will also inject a gadolinium contrast agent to enhance the image modality which will give the side effects to the patients.  Therefore, this paper presents an automated segmentation and detection of MRI brain images using Sobel edge detection and mathematical morphology operations.  The total of 30 glioma T1-Weighted MRI brain images are obtained from Brain Tumor Image Segmentation Benchmark (BRATS).  The results of segmentation and detection are quantitatively evaluated by using Area Overlap which produced the accuracy rate of 80.2% and shows that the presented methods are promising.
Remote reading of electricity meters using PLC Negin Ahmadi; Zahra Khajenasir Jahromi
Bulletin of Electrical Engineering and Informatics Vol 9, No 2: April 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v9i2.1620

Abstract

The telecommunications platforms of the electricity industry, including optical fiber, wireless, radio and microwave, despite providing sufficient bandwidth to transmit power market data, have limitations and disadvantages that are particularly apparent in remote suburban areas. PLC technology provides such facilities relatively. So this paper aim is providing practical solutions for the transmission of electricity market meters data through this type of PLC. This paper examines how to transfer the data from the electricity market to the central server using a PLC telecommunications platform and a practical example at 132 kV. In this case, the appropriate option is PLC. In this paper, it has been shown that there is the possibility of sending market data onto the PLC platform in transient and over- voltage transmission lines, which so far seemed to be impractical. With the comprehensive implementation of this work in the country's electricity industry, especially regional electricity, a major step will be taken to create a smart grid for meter readings. Due to the successful outcome of the experiment, it is possible to easily connect the PLC, the availability of this platform in many posts, a large and new smart grid for reading electricity meter readings.
Approximate instantneous current in RLC circuit Saumya Ranjan Jena; Damayanti Nayak
Bulletin of Electrical Engineering and Informatics Vol 9, No 2: April 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (510.481 KB) | DOI: 10.11591/eei.v9i2.1641

Abstract

In this study, a mixed rule of degree of precision nine has been developed and implemented in the field of electrical sciences to obtain the instantaneous current in the RLC- circuit for particular value .The linearity has been performed with the Volterra’s  integral equation of second kind with particular kernel . Then the definite integral has been evaluated through the mixed quadrature to obtain the numerical result which is very effective. A polynomial has been used to evaluate Volterra’s integral equation in the place of unknown functions. The accuracy of the proposed method has been tested taking different electromotive force in the circuit and absolute error has been estimated.
A 2.45 GHz microstrip antenna with harmonics suppression capability by using defected ground structure Shaharil Mohd Shah; M. Mohamad; S. A. Hamzah; Z. Z. Abidin; F. C. Seman; N. Katiran; H. A. Majid; A. Ashyap; S. Mohamad
Bulletin of Electrical Engineering and Informatics Vol 9, No 1: February 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (667.203 KB) | DOI: 10.11591/eei.v9i1.1847

Abstract

In this work, a microstrip patch antenna with an inset feed and defected ground structure (DGS) is designed at the resonant frequency of 2.45 GHz. The antenna is designed on a FR-4 substrate with a dielectric constant, εr of 4.5, loss tangent, tan δ of 0.019 and thickness, h of 1.6 mm. The technique of DGS is used to avoid the use of additional circuits in the antenna to suppress the harmonics. By introducing a single and additional slots DGS at both ends on the antenna ground plane, the proposed microstrip patch antenna is able to suppress the higher order harmonics. The reflection coefficient, S11 is -38.75 dB at 2.45 GHz. The proposed antenna have suppressed the higher order harmonics effectively from -38.04 dB to -2.61 dB at 4.54 GHz and from -13.08 dB to -1.38 dB at 5.76 GHz. The prototype of the antenna is fabricated for the verification of the design. The simulated and measured results are found to be in a good agreement.
Ultra-low power 0.45 mW 2.4 GHz CMOS low noise amplifier for wireless sensor networks using 0.13-m technology S. A. Z. Murad; A. Azizan; A. F. Hasan
Bulletin of Electrical Engineering and Informatics Vol 9, No 1: February 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (488.183 KB) | DOI: 10.11591/eei.v9i1.1852

Abstract

This paper describes the design topology of a ultra-low power low noise amplifier (LNA) for wireless sensor network (WSN) application. The proposed design of ultra-low power 2.4 GHz CMOS LNA is implemented using 0.13-μm Silterra technology. The LNA benefits of low power from forward body bias technique for first and second stages. Two stages are implemented in order to enhance the gain while obtaining low power consumption for overall circuit. The simulation results show that the total power consumed is only 0.45 mW at low supply voltage of 0.55 V. The power consumption is decreased about 36% as compared with the previous work. A gain of 15.1 dB, noise figure (NF) of 5.9 dB and input third order intercept point (IIP3) of -2 dBm are achieved. The input return loss (S11) and the output return loss (S22) is -17.6 dB and -12.3 dB, respectively. Meanwhile, the calculated figure of merit (FOM) is 7.19 mW-1.
Analysis of minimum face video duration and the effect of video compression to image-based non-contact heart rate monitoring system Norwahidah Ibrahim; Mohd Razali Md Tomari; Wan Nurshazwani Wan Zakaria
Bulletin of Electrical Engineering and Informatics Vol 9, No 1: February 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (393.601 KB) | DOI: 10.11591/eei.v9i1.1855

Abstract

Heart rate (HR) is one of important indicator for human physiological diagnosis, and camera can be used to detect it via photoplethysmograph (PPG) signal extraction. In doing so, number of sample images required to measure the HR signal, and quality of the images itself are important to yield an accurate reading. This paper tackles such an issue by analyzing the effect of sampling interval to HR reading in compressed and original video format, obtained in various ranging locations. Technically, important facial points from video stream were estimated by using cascade regression facial tracker. Based on the facial points, region of interest (ROI) was constructed where non-rigid movement is minimal. Next, PPG signal was extracted by calculating the average value of green pixel intensity from the ROI. Following that, illumination variation was separated from the signal via independent component analysis (ICA). The PPG signal was further processed using series of signal filtering techniques to exclude frequencies beyond range of interest prior estimate the HR. From the experiment it can be observed that sampling time of 2 seconds in uncompressed video shows promising HR within the range of 1 to 5 meters.

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