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Bulletin of Electrical Engineering and Informatics
Published by Universitas Ahmad Dahlan
ISSN : -     EISSN : -     DOI : -
Core Subject : Engineering,
Electrical & Electronics 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.
Arjuna Subject : -
Articles 2,901 Documents
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Design of substrate integrated waveguide withMinkowski-Sierpinski fractal antenna for WBAN applications Mustafa Mohammed Jawad; Nik Noordini Nik Abd Malik; Noor Asniza Murad; Mohd Riduan Ahmad; Mona Riza Mohd Esa; Yaqdhan Mahmood Hussein
Bulletin of Electrical Engineering and Informatics Vol 9, No 6: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v9i6.2194

Abstract

This paper presents a new design of patch antenna using Minkowski-Sierpinski fractal technique with substrate integrated waveguide (SIW) to resonate at 60 GHz. The antenna is proposed to be used for wireless body area network applications (WBAN). The proposed antenna is implemented using Rogers 5880 substrate with permittivity of (εr) of 2.2 and loss tangent is 0.0004, height of the substrate is 0.381 mm. Computer simulation technology-Microwave Studio (CST-MW) is used to simulate the proposed antenna. The simulated results show a wide bandwidth of 3.5 GHz between the ranges of (58.3-61.7) GHz, with a good return loss of more than -10 dB. A simulated gain of 7.9 dB is achieved with a linear antenna efficiency of 91%. This proposed antenna is used to improve the quality of radiation pattern, bandwidth, and gain at millimetre wave (mm-Wave) band for WBAN applications. 
Dielectrophoresis-based microfluidic device for separation of potential cancer cells Nur Fatien Najwa Mohamad Narji; Mohd Ridzuan Ahmad
Bulletin of Electrical Engineering and Informatics Vol 9, No 6: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v9i6.2224

Abstract

Cancer is a leading cause of death that adversely affects all ages and genders around the world. There is a range of approaches such as CT scanning and mammography to diagnose cancer. Although the current method has many benefits, most of it share similar drawbacks as the result of detection takes long time and can lead to over diagnosis. Dielectrophoresis (DEP) is a method that can be used to obtain the cell electrical properties such as capacitance, conductivity, and permittivity. A device was designed in this study using a pair of electrodes and main channel with two inlets and two outlets. COMSOL software is adopted to analyze channel particle flow. Results show the configuration of microfluidic device and its dimensions. For potential application, DEP may be used as a non-invasive technique to distinguish normal cell from cancerous cell, which can lead to early detection as it offers a real-time warning. The simulations reveal that the electrodes captured the particles successfully and sorted them within specific time. The chance of cell capture and the ability of the electrodes to sort the cells is around 80%. In addition, an ideal design of the microfluidic chip was established, incorporating the cell and dielectric properties.
A fast specular reflection removal based on pixels properties method Shahrizan Jamaludin; Nasharuddin Zainal; W. Mimi Diyana W. Zaki
Bulletin of Electrical Engineering and Informatics Vol 9, No 6: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v9i6.2524

Abstract

Iris recognition has been around for many years due to an extensive research on the uniqueness of human iris. It is well known that the iris is not similar to each other which means every human in the planet has their own iris pattern and cannot be shared. One of the main issues in iris recognition is iris segmentation. One element that can reduce the accuracy of iris segmentation is the presence of specular reflection. Another issue is the speed of specular reflection removal since the iris recognition system needs to process a lot of irises. In this paper, a specular reflection removal method was proposed to achieve a fast and accurate specular reflection removal. Some modifications were implemented on the existing pixels properties method. Based on the results, the proposed method achieved the fastest execution time, the highest segmentation accuracy and the highest SSIM compared to the other methods. This proves that the proposed method is fast and accurate to be implemented in the iris recognition systems.
A low complexity partial transmit sequence approach based on hybrid segmentation scheme Ali Hussein Fadel; Hasanain H. Razzaq; Salama A. Mostafa
Bulletin of Electrical Engineering and Informatics Vol 9, No 6: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v9i6.2520

Abstract

The partial transmit sequences (PTS) is regarded as a promising scheme for inhibiting ‎the high peak-to-average power ratio (PAPR) problem in the orthogonal frequency division ‎multiplexing (OFDM) systems. The PTS scheme relies on partitioning the ‎data sequence into subsets and weighting these subsets by a group of the phase rotation ‎factors. Although the PTS can efficiently reduce the high PAPR value, a great ‎computational complexity (CC) level restricts the utilization of the PTS scheme in practical ‎applications. In PTS, there are three common types of segmentation schemes; ‎interleaving (IL-PTS), pseudo-random (PR-PTS), and adjacent (Ad-PTS) schemes. This ‎paper presents a new algorithm named hybrid pseudo-random and interleaving cosine wave shape ‎‎(H-PRC-PTS) by combining the PR-PTS scheme and the symmetrical ‎interleaving cosine wave shape (S-IL-C-PTS) scheme which was proposed in our previous ‎work. The results indicate that the suggested algorithms can ‎diminish the PAPR value like the PR-PTS scheme, whereas the CC level is reduced significantly.
Architecture neural network deep optimizing based on self organizing feature map algorithm Muthna Jasim Fadhil; Majli Nema Hawas; Maitham Ali Naji
Bulletin of Electrical Engineering and Informatics Vol 9, No 6: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v9i6.1935

Abstract

Forward neural network (FNN) execution relying on the algorithm of training and architecture selection. Different parameters using for nip out the architecture of FNN such as the connections number among strata, neurons hidden number in each strata hidden and hidden strata number. Feature architectural combinations exponential could be uncontrollable manually so specific architecture can be design automatically by using special algorithm which build system with ability generalization better. Determination of architecture FNN can be done by using the algorithm of optimization numerous. In this paper methodology new proposes achievement where FNN neurons respective with hidden layers estimation work where in this work collect algorithm training self organizing feature map (SOFM) with advantages to explain how the best architectural selected automatically by SOFM from criteria error testing based on architecture populated. Different size of dataset benchmark of 4 classifications tested for approach proposed.
Lightweight hamming product code based multiple bit error correction coding scheme using shared resources for on chip interconnects Asaad Kadhum Chlaab; Wameedh Nazar Flayyih; Fakhrul Zaman Rokhani
Bulletin of Electrical Engineering and Informatics Vol 9, No 5: October 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1124.197 KB) | DOI: 10.11591/eei.v9i5.1876

Abstract

In this paper, we present multiple bit error correction coding scheme based on extended Hamming product code combined with type II HARQ using shared resources for on chip interconnect. The shared resources reduce the hardware complexity of the encoder and decoder compared to the existing three stages iterative decoding method for on chip interconnects. The proposed method of decoding achieves 20% and 28% reduction in area and power consumption respectively, with only small increase in decoder delay compared to the existing three stage iterative decoding scheme for multiple bit error correction. The proposed code also achieves excellent improvement in residual flit error rate and up to 58% of total power consumption compared to the other error control schemes. The low complexity and excellent residual flit error rate make the proposed code suitable for on chip interconnection links.
A comparative review on symmetric and asymmetric DNA-based cryptography Baraa Tareq Hammad; Ali Maki Sagheer; Ismail Taha Ahmed; Norziana Jamil
Bulletin of Electrical Engineering and Informatics Vol 9, No 6: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v9i6.2470

Abstract

Current researchers have focused on DNA-based cryptography, in fact, DNA or deoxyribonucleic acid, has been applied in cryptography for performing computation as well as storing and transmitting information. In the present work, we made use of DNA in cryptographic, i.e. its storing capabilities (superior information density) and parallelism, in order to improve other classical cryptographic algorithms. Data encryption is made possible via DNA sequences. In this paper, two cases utilizing different DNA properties were studied by combining the DNA codes with those conventional cryptography algorithms. The first case concerned on symmetric cryptography that involved DNA coding with OTP (one time pad) algorithms. Asymmetric cryptography was considered in the second case by incorporating the DNA codes in RSA algorithm. The efficiencies of DNA coding in OTP, RSA, and other algorithms were given. As observed, the computational time of RSA algorithm combined with DNA coding was longer. In order to alleviate this problem, data redundancy was reduced by activating the GZIP compressed algorithm. The present experimental results showed that DNA symmetric cryptography worked quite well in both time and size analyses. Nevertheless, it was less efficient than the compressed DNA asymmetric cryptography.
Multi-dimensional cubic symmetric block cipher algorithm for encrypting big data Omar A. Dawood; Othman I. Hammadi; Khalid Shaker; Mohammed Khalaf
Bulletin of Electrical Engineering and Informatics Vol 9, No 6: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v9i6.2475

Abstract

The advanced technology in the internet and social media, communication companies, health care records and cloud computing applications made the data around us increase dramatically every minute and continuously. These renewals big data involve sensitive information such as password, PIN number, credential numbers, secret identifications and etc. which require maintaining with some high secret procedures. The present paper involves proposing a secret multi-dimensional symmetric cipher with six dimensions as a cubic algorithm. The proposed algorithm works with the substitution permutation network (SPN) structure and supports a high processing data rate in six directions. The introduced algorithm includes six symmetry rounds transformations for encryption the plaintext, where each dimension represents an independent algorithm for big data manipulation. The proposed cipher deals with parallel encryption structures of the 128-bit data block for each dimension in order to handle large volumes of data. The submitted cipher compensates for six algorithms working simultaneously each with 128-bit according to various irreducible polynomials of order eight. The round transformation includes four main encryption stages where each stage with a cubic form of six dimensions.
Jawi using multi-maker augmented reality Siti Hasnah Tanalol; Dinna N. Mohd Nizam; Zaidatol Haslinda Abdullah Sani; Aslina Baharum; Asni Tahir; Iznora Aini Zolkifly
Bulletin of Electrical Engineering and Informatics Vol 10, No 5: October 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i5.2464

Abstract

This paper discussed the development of multi-maker augmented reality for learning Jawi in order to complement the formal study in school. We conducted an experiment with N=10 participants from Pusat Minda Lestari, UMS age 5 and 6 years old, to study the effectiveness of learning Jawi using the developed mobile augmented reality application. We prepared a test environment comprising an electroencephalography (EEG) system and mobile augmented reality (AR) application for analysis and testing. Results found that the learn ability of the students was improved after they used the mobile application to learn basic Jawi. The methodology used was ADDIE model, which included the analysis, design, development, implementation, and evaluate phases. This project is an innovation in learning Jawi and hopefully can increase the children’s interest in learning Jawi.
Mobile augmented reality using 3D ruler in a robotic educational module to promote STEM learning Nur Amira Atika Nordin; Nazatul Aini Abd Majid; Noor Faridatul Ainun Zainal
Bulletin of Electrical Engineering and Informatics Vol 9, No 6: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v9i6.2235

Abstract

Robotics education is gaining popularity among school children in line with the government desire to promote creative thinking in students through STEM based activities. However, the robots for educational games are usually made up of components and its description is usually one-way and static. Additionally, students find it difficult to visualize distances from robot movements when playing educational robotic games. Augmented reality (AR) technology is a viable tool to connect between in-context information and physical activities. The objective of this research is to design and develop an AR based application that can visualize the distance between two robots for supporting learning process in a game-based module. The application consists of three parts; the first part use AR in identification of components related to robots, while the second part involves the addition of real-time visualization in the form of AR, enabling students to learn the distance from the robot's movements. The third part used AR in providing the description of the robotic games through videos. The development of the application is based on the Agile model. The results show that the application has received positive feedbacks from students as it can increase their interest in playing robotic educational games. 

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