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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 22 Documents
Search results for , issue "Vol 7, No 4: December 2018" : 22 Documents clear
Number of Iteration Analysis for Complex FSS Shape Using GA for Efficient ESG Nornikman Hassan; Zahriladha Zakaria; Badrul Hisham Ahmad; Naim Che Pee; Siti Nadzirah Salleh; Mohamad Zoinol Abidin Abd Aziz; Mohd Fareq Abdul Malek; Mohd Khairy Ismail
Bulletin of Electrical Engineering and Informatics Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (506.558 KB) | DOI: 10.11591/eei.v7i4.1354

Abstract

ESG stand for Energy-Saving Glass is a special shielded glass with a metallic oxide layer to abuse undesirable of infrared and ultraviolet radiation into construction assemblies like our home. Firstly, different number of the iteration is the main thing to study a performance of the frequency selective surface shape using genetic algorithm (GA) for efficient energy saving glass (ESG). Three different values for the number of iterations were taken that is 1500, 2000 1nd 5000. Before that, the response of this complex FSS shape on incident electromagnetic wave with different symmetry shape are investigating. Three of them are no symmetrical shape, ¼ symmetrical shape, and 1/8 symmetrical shape. The 1500 number simulation considered about 89.000 per second, compared with 2000 iteration and 5000 iterations had consumed 105.09 per second and 196.00 per second, respectively. For 1/8 symmetry complex FSS shape, it demonstrations the improved performance of transmission loss at 1.2 GHz with - 40 dB. A 2 dB of transmission loss is achieved at WLAN application of 2.45 GHz with 0°, 30°, and 45° incidence angle shows.
Synthesis of (Poly-methyl Methacrylate-lead Oxide) Nanocomposites and Studying their A.C Electrical Properties for Piezoelectric Applications Dalal Hassan; Ahmed Hashim
Bulletin of Electrical Engineering and Informatics Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (544.965 KB) | DOI: 10.11591/eei.v7i4.969

Abstract

Piezoelectric materials have been prepared from (poly-methyl methacrylate-lead oxide) nanocomposites for electronic applications. The lead oxide nanoparticles were added to poly-methyl methacrylate by different concentrations are (4, 8, and 12) wt%. The structural and dielectric properties of nanocomposites were studied. The results showed that the dielectric constant and dielectric loss of nanocomposites decrease with increase in frequency of applied electric field. The A.C electrical conductivity increases with increase in frequency. The dielectric constant, dielectric loss and A.C electrical conductivity of poly-methyl methacrylate increase with increase in lead oxide nanoparticles concentrations. The results of pressure sensor showed that the electrical resistance of (PMMA-PbO2) nanocomposites decreases with increase in pressure.
Local Entropy and Standard Deviation for Facial Expressions Recognition in Thermal Imaging Yomna M. Elbarawy; Rania S. El-Sayed; Neveen I. Ghali
Bulletin of Electrical Engineering and Informatics Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (468.654 KB) | DOI: 10.11591/eei.v7i4.1230

Abstract

Emotional reactions are the best way to express human attitude and thermal imaging mainly used to utilize detection of temperature variations as in detecting spatial and temporal variation in the water status of grapevine. By merging the two facts this paper presents the Discrete Cosine Transform (DCT) with Local Entropy (LE) and Local Standard Deviation (LSD) features as an efficient filters for investigating human emotional state in thermal images. Two well known classifiers, K-Nearest Neighbor (KNN) and Support Vector Machine (SVM) were combined with the earlier features and applied over a database with variant illumination, as well as occlusion by glasses and poses to generate a recognition model of facial expressions in thermal images. KNN based on DCT and LE gives the best accuracy compared with other classifier and features results.
Objective and Subjective Evaluations of Adaptive Noise Cancellation Systems with Selectable Algorithms for Speech Intelligibility Roshahliza M. Ramil; Salina Abdul Samad; Ali O. Abid Noor
Bulletin of Electrical Engineering and Informatics Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (953.913 KB) | DOI: 10.11591/eei.v7i4.1183

Abstract

Adaptive Noise Cancellation (ANC) systems with selectable algorithms refer to ANC systems that are able to change the adaptation algorithm based on the eigenvalue spread of the noise. These systems can have dual inputs based on the conventional ANC structure or a single input based on the Adaptive Line Enhancer (ALE) structure. This paper presents a comparison of the performance of these two systems using objective and subjective measurements for speech intelligibility. The parameters used to objectively compare the systems are the Mean Square Error (MSE) and the output Signal to Noise Ratio (SNR). For subjective evaluation, listening tests were evaluated using the Mean Opinion Score (MOS) technique. The outcomes demonstrate that for both objective and subjection evaluations, the single input ALE with selectable algorithms (S-ALE) system outperforms that of the dual input ANC with selectable algorithm (S-ANC) in terms of better steady-state MSE by 10%, higher SNR values for most types of noise, higher scores in most of the questions in the MOS questionnaire and a higher acceptance rate for speech quality.
Curtain Control Systems Development on Mesh Wireless Network of the Smart Home Trio Adiono; Sinantya Feranti Anindya; Syifaul Fuada; Maulana Yusuf Fathany
Bulletin of Electrical Engineering and Informatics Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (702.323 KB) | DOI: 10.11591/eei.v7i4.1199

Abstract

In this paper, a curtain controller for smart home is presented. The aim of this work is to develop an end device in smart home system that will support power conservation function indirectly, specifically a curtain open/close controller. To achieve this, the 28BYJ-48 stepper motor is used as actuator with the assistance of ULN2003A driver. The motor is controlled using STM32L100RCT6 microcontroller, which is chosen due to its low power consumption. The microcontroller controls the motor’s direction by using a pulse width modulation logic signals emitted from four GPIO pins, which works based on data transmitted from central host through ZigBee protocol on Mesh network. Meanwhile, from the user’s side, the control is done by using Android-based application, which is connected to central host through Bluetooth. Based on the testing conducted on a miniature curtain, the curtain can be controlled wirelessly through the Android application. Furthermore, the device consumes power 210.5 mW for idle condition and 1,586 mW for process condition. The amount of the consumed power makes it suitable for low-power operation and in alignment with the smart home system’s overall aim for power conservation in the wireless sensor network-based smart home system.
Robust Watermarking through Dual Band IWT and Chinese Remainder Theorem Prajanto Wahyu Adi; Farah Zakiyah Rahmanti; Edy Winarno
Bulletin of Electrical Engineering and Informatics Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v7i4.690

Abstract

CRT was a widely used algorithm in the development of watermarking methods. The algorithm produced good image quality but it had low robustness against compression and filtering. This paper proposed a new watermarking scheme through dual band IWT to improve the robustness and preserving the image quality. The high frequency sub band was used to index the embedding location on the low frequency sub band. In robustness test, the CRT method resulted average NC value of 0.7129, 0.4846, and 0.6768 while the proposed method had higher NC value of 0.7902, 0.7473, and 0.8163 in corresponding Gaussian filter, JPEG, and JPEG2000 compression test. Meanwhile the both CRT and proposed method had similar average SSIM value of 0.9979 and 0.9960 respectively in term of image quality. The result showed that the proposed method was able to improve the robustness and maintaining the image quality.
Python Application: Visual Approach of Hopfield Discrete Method for Hiragana Images Recognition Dicky Nofriansyah; Hendriktio Freizello
Bulletin of Electrical Engineering and Informatics Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (492.996 KB) | DOI: 10.11591/eei.v7i4.691

Abstract

Python is a dynamic object-oriented programming language. Python provides strong support for integration with other programming languages and other tools. Python programming is rarely used in the field of artificial intelligence, especially artificial neural networks. This research focuses on running Python programming to recognize hiragana letters. In learning the character of Hiragana, one can experience difficulties because of the many combinations of vowels that form new letters by different means of reading and meaning. Discrete Hopfield network is a fully connected, that every unit is attached to every other unit. This network has asymmetrical weights. At Hopfield Network, each unit has no relationship with itself. Therefore it is expected that a computer system that can help recognize the Hiragana Images. With this pattern recognition Application of Hiragana Images, it is expected the system can be developed further to recognize the Hiragana Images quickly and precisely.
Newly Developed Nonlinear Vehicle Model for an Active Anti-roll Bar System Noraishikin Binti Zulkarnain; Hairi Zamzuri; Sarah ’Atifah Saruchi; Mohd Marzuki Mustafa; Siti Salasiah Mokri; Nurbaiti Wahid; Siti Nor Zawani Ahmmad; Alias Jedi
Bulletin of Electrical Engineering and Informatics Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (349.242 KB) | DOI: 10.11591/eei.v7i4.1185

Abstract

This paper presents the development of a newly developed nonlinear vehicle model is used in the validation process of the vehicle model. The parameters chosen in a newly developed vehicle model is developed based on CARSIM vehicle model by using non-dominated sorting genetic algorithm version II (NSGA-II) optimization method. The ride comfort and handling performances have been one of the main objective to fulfil the expectation of customers in the vehicle development. Full nonlinear vehicle model which consists of ride, handling and Magic tyre subsystems has been derived and developed in MATLAB/Simulink. Then, optimum values of the full nonlinear vehicle parameters are investigated by using NSGA-II. The two objective functions are established based on RMS error between simulation and benchmark system. A stiffer suspension provides good stability and handling during manoeuvres while softer suspension gives better ride quality. The final results indicated that the newly developed nonlinear vehicle model is behaving accurately with input ride and manoeuvre. The outputs trend are successfully replicated.
Fabrication of New Nanocomposites (PMMA-SPO-PS-TiC) and Studying Their Structural and Electrical Properties for Humidity Sensors Bahaa Hussien Rabee; Idrees Oreibi
Bulletin of Electrical Engineering and Informatics Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1300.341 KB) | DOI: 10.11591/eei.v7i4.924

Abstract

Samples have been prepared by adding Titanium carbide nanoparticles to the Poly (methyl methacrylate) and Ethylene-alpha olefin co-polymer (SPO) and Polystyrene (PS) with different weight percentages (o, 2, 4, 6 and 8) wt%. The FTIR analysis, electrical, dielectric, and structural properties have been studied.The dielectric loss and The dielectric constant decrease with increasing of Titanium carbide (TiC) nanoparticles. The A.C electrical conductivity increases with increasing of Titanium carbide (TiC) concentrations and frequency. The D.C electrical conductivity increases with increasing of Titanium carbide (TiC) concentration and temperature. The Activation energy decreases with increasing of Titanium carbide (TiC) nanoparticles. The Humidity sensor application showed that the electrical resistance of (PMMA-SPO-PS-TiC) nanocomposites decreases with increase the Humidity.
Improving Consistency of UML Diagrams and Its Implementation Using Reverse Engineering Approach Vasanthi Kaliappan; Norhayati Mohd Ali
Bulletin of Electrical Engineering and Informatics Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (567.871 KB) | DOI: 10.11591/eei.v7i4.1358

Abstract

Software development deals with various changes and evolution that cannot be avoided due to the development processes which are vastly incremental and iterative. In Model Driven Engineering, inconsistency between model and its implementation has huge impact on the software development process in terms of added cost, time and effort. The later the inconsistencies are found, it could add more cost to the software project. Thus, this paper aims to describe the development of a tool that could improve the consistency between Unified Modeling Language (UML) design models and its C# implementation using reverse engineering approach. A list of consistency rules is defined to check vertical and horizontal consistencies between structural (class diagram) and behavioral (use case diagram and sequence diagram) UML diagrams against the implemented C# source code. The inconsistencies found between UML diagrams and source code are presented in a textual description and visualized in a tree view structure.

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