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[An improvised similarity measure for generalized fuzzy numbers ]]>
<![CDATA[Daud Mohamad]]>;
<![CDATA[Noorlisa Sara Adlene Ramlan]]>;
<![CDATA[Sharifah Aniza Sayed Ahmad]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 4: December 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (654.038 KB)
|
DOI: 10.11591/eei.v8i4.1629
<![CDATA[Similarity measure between two fuzzy sets is an important tool for comparing various characteristics of the fuzzy sets. It is a preferred approach as compared to distance methods as the defuzzification process in obtaining the distance between fuzzy sets will incur loss of information. Many similarity measures have been introduced but most of them are not capable to discriminate certain type of fuzzy numbers. In this paper, an improvised similarity measure for generalized fuzzy numbers that incorporate several essential features is proposed. The features under consideration are geometric mean averaging, Hausdorff distance, distance between elements, distance between center of gravity and the Jaccard index. The new similarity measure is validated using some benchmark sample sets. The proposed similarity measure is found to be consistent with other existing methods with an advantage of able to solve some discriminant problems that other methods cannot. Analysis of the advantages of the improvised similarity measure is presented and discussed. The proposed similarity measure can be incorporated in decision making procedure with fuzzy environment for ranking purposes.]]>
<![CDATA[Comparative performance evaluation of routing algorithm and topology size for wireless network-on-chip ]]>
<![CDATA[Asrani Lit]]>;
<![CDATA[M. S. Rusli]]>;
<![CDATA[M. N. Marsono]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 4: December 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (1175.122 KB)
|
DOI: 10.11591/eei.v8i4.1588
<![CDATA[Wireless Network-on-Chip or WiNoC is an alternative to traditional planar on-chip networks. On-chip wireless links are utilized to reduce latency between distant nodes due to its capability to communicate with far-away node within a single hop. This paper analyzes the impact of various routing schemes and the effect of WiNoC sizes on network traffic distributions compared to conventional mesh NoC. Radio hubs (4×4) are evenly placed on WiNoC to analyze global average delay, throughput, energy consumption and wireless utilization. For validation, three various network sizes (8×8, 16×16 and 32×32) of mesh NoC and WiNoC architectures are simulated on cycle-accurate Noxim simulator under numerous traffic load distributions. Simulation results show that WiNoC architecture with the 16×16 network size has better average speedup (∼1.2×) and improved network throughputs by 6.36% in non-uniform transpose traffic distribution. As the trade-off, WiNoC requires 63% higher energy consumption compared to the classical wired NoC mesh.]]>
<![CDATA[Device simulation of perovskite solar cells with molybdenum disulfide as active buffer layer ]]>
<![CDATA[Ainon Shakila Shamsuddin]]>;
<![CDATA[Puteri Nor Aznie Fahsyar]]>;
<![CDATA[Norashikin Ahmad Ludin]]>;
<![CDATA[Ibrahim Burhan]]>;
<![CDATA[Salina Mohamad]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 4: December 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (807.745 KB)
|
DOI: 10.11591/eei.v8i4.1596
<![CDATA[Organo-halide Perovskite Solar Cells (PSC) have been reported to achieve remarkably high power conversion efficiency (PCE). A thorough understanding of the role of each component in solar cells and their effect as a whole is still required for further improvement in PCE. In this paper, the effect of Molybdenum Disulfide (MoS2) in PSC with mesoporous structure configuration was analyzed using Solar Cell Capacitance Simulator (SCAPS). With the MoS2 layer which having two-fold function, acting as a protective layer, by preventing the formation of shunt contacts between perovskite and Au electrode, and as a hole transport material (HTM) from the perovskite to the Spiro-OMETAD. As simulated, PSC demonstrates a PCE, ŋ of 13.1%, along with stability compared to typical structure of PSC without MoS2 (Δ ŋ/ŋ=-9% vs. Δ ŋ/ŋ=-6%). The results pave the way towards the implementation of MoS2 as a material able to boost shelf life which very useful for new material choice and optimization of HTMs.]]>
<![CDATA[Simulation study of single event effects sensitivity on commercial power MOSFET with single heavy ion radiation ]]>
<![CDATA[Erman Azwan Yahya]]>;
<![CDATA[Ramani Kannan]]>;
<![CDATA[Lini Lee]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 4: December 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (561.148 KB)
|
DOI: 10.11591/eei.v8i4.1611
<![CDATA[High-frequency semiconductor devices are key components for advanced power electronic system that require fast switching speed. Power Metal Oxide Semiconductor Field Effect Transistor (MOSFET) is the most famous electronic device that are used in much power electronic system. However, the application such as space borne, military and communication system needs Power MOSFET to withstand in radiation environments. This is very challenging for the engineer to develop a device that continuously operated without changing its electrical behavior due to radiation. Therefore, the main objective of this study is to investigate the Single Event Effect (SEE) sensitivity by using Heavy Ion Radiation on the commercial Power MOSFET. A simulation study using Sentaurus Synopsys TCAD software for process simulation and device simulation was done. The simulation results reveal that single heavy ion radiation has affected the device structure and fluctuate the I-V characteristic of commercial Power MOSFET.]]>
<![CDATA[Performance analysis of ultrathin junctionless double gate vertical MOSFETs ]]>
<![CDATA[K. E. Kaharudin]]>;
<![CDATA[Z. A. F. M. Napiah]]>;
<![CDATA[F. Salehuddin]]>;
<![CDATA[A. S. M. Zain]]>;
<![CDATA[Ameer F. Roslan]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 4: December 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (665.525 KB)
|
DOI: 10.11591/eei.v8i4.1615
<![CDATA[The main challenge in MOSFET minituarization is to form an ultra-shallow source/drain (S/D) junction with high doping concentration gradient, which requires an intricate S/D and channel engineering. Junctionless MOSFET configuration is an alternative solution for this issue as the junction and doping gradients is totally eliminated. A process simulation has been developed to investigate the impact of junctionless configuration on the double-gate vertical MOSFET. The result proves that the performance of junctionless double-gate vertical MOSFETs (JLDGVM) are superior to the conventional junctioned double-gate vertical MOSFETs (JDGVM). The results reveal that the drain current (ID) of the n-JLVDGM and p-JLVDGM could be tremendously enhanced by 57% and 60% respectively as the junctionless configuration was applied to the double-gate vertical MOSFET. In addition, junctionless devices also exhibit larger ION/IOFF ratio and smaller subthreshold slope compared to the junction devices, implying that the junctionless devices have better power consumption and faster switching capability.]]>
<![CDATA[A simulation study of excitation coil design in single-sided mpi scanner for human body application ]]>
<![CDATA[Nurmiza Othman]]>;
<![CDATA[Muhamad Fikri Shahkhirin Birahim]]>;
<![CDATA[Wan Nurshazwani Wan Zakaria]]>;
<![CDATA[Mohd Razali Md Tomari]]>;
<![CDATA[Md Nor Ramdon Baharom]]>;
<![CDATA[Luqman Hakim]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 4: December 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (826.837 KB)
|
DOI: 10.11591/eei.v8i4.1597
<![CDATA[Magnetic particle imaging (MPI), a tomographic imaging method has been introduced for 3D imaging of human body with some potential applications such as magnetic hyperthermia and cancer imaging. It involves three important elements: tracer development using magnetic nanoparticles (MNPs), hardware realization (scanner using excitation and pickup coils), and image reconstruction optimization. Their combination will produce a high quality of image taken from any biological tissue in the human body based on the secondary magnetic field signal from the magnetized MNPs that are injected into human body. A homogeneous and adequate magnetic field strength from an excitation coil is needed to enhance the quality of the secondary signal. However, the complex surface topography of human body and physical properties of an excitation coil influence the strength and the homogeneity of the magnetic field generation at the MNPs. Therefore, this work focused on finding alternative design of excitation coil used in single sided MPI to produce up to 2 mT with high homogeneity of field distribution in the MNPs at the varied depth of 10 to 30 mm under the excitation coil. We proposed several designs with variation in physical properties and coil arrangement based on simulation study carried out by using Ansys Maxwell.]]>
<![CDATA[A hybrid predictive technique for lossless image compression ]]>
<![CDATA[N. A. N. Azman]]>;
<![CDATA[Samura Ali]]>;
<![CDATA[Rozeha A. Rashid]]>;
<![CDATA[Faiz Asraf Saparudin]]>;
<![CDATA[Mohd Adib Sarijari]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 4: December 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (544.942 KB)
|
DOI: 10.11591/eei.v8i4.1612
<![CDATA[Compression of images is of great interest in applications where efficiency with respect to data storage or transmission bandwidth is sought.The rapid growth of social media and digital networks have given rise to huge amount of image data being accessed and exchanged daily. However, the larger the image size, the longer it takes to transmit and archive. In other words, high quality images require huge amount of transmission bandwidth and storage space. Suitable image compression can help in reducing the image size and improving transmission speed. Lossless image compression is especially crucial in fields such as remote sensing healthcare network, security and military applications as the quality of images needs to be maintained to avoid any errors during analysis or diagnosis. In this paper, a hybrid prediction lossless image compression algorithm is proposed to address these issues. The algorithm is achieved by combining predictive Differential Pulse Code Modulation (DPCM) and Integer Wavelet Transform (IWT). Entropy and compression ratio calculation are used to analyze the performance of the designed coding. The analysis shows that the best hybrid predictive algorithm is the sequence of DPCM-IWT-Huffman which has bits sizes reduced by 36%, 48%, 34% and 13% for tested images of Lena, Cameraman, Pepper and Baboon, respectively.]]>
<![CDATA[Steganography analysis techniques applied to audio and image files ]]>
<![CDATA[Roshidi Din]]>;
<![CDATA[Alaa Jabbar Qasim]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 4: December 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (214.361 KB)
|
DOI: 10.11591/eei.v8i4.1626
<![CDATA[The present work carries out a descriptive analysis of the main steganography techniques used in specific digital media such as audio and image files. For this purpose, a literary review of the domains, methods, and techniques as part of this set was carried out and their functioning, qualities, and weaknesses are identified. Hence, it is concluded that there is a wide relationship between audio and image steganography techniques in their implementation form. Nevertheless, it is determined that LSB is one of the weakest techniques, but the safest and the most robust technique within each type of the presented medium.]]>
<![CDATA[Comparative analysis on bayesian classification for breast cancer problem ]]>
<![CDATA[Wan Nor Liyana Wan Hassan Ibeni]]>;
<![CDATA[Mohd Zaki Mohd Salikon]]>;
<![CDATA[Aida Mustapha]]>;
<![CDATA[Saiful Adli Daud]]>;
<![CDATA[Mohd Najib Mohd Salleh]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 4: December 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (585.991 KB)
|
DOI: 10.11591/eei.v8i4.1628
<![CDATA[The problem of imbalanced class distribution or small datasets is quite frequent in certain fields especially in medical domain. However, the classical Naive Bayes approach in dealing with uncertainties within medical datasets face with the difficulties in selecting prior distributions, whereby parameter estimation such as the maximum likelihood estimation (MLE) and maximum a posteriori (MAP) often hurt the accuracy of predictions. This paper presents the full Bayesian approach to assess the predictive distribution of all classes using three classifiers; naïve bayes (NB), bayesian networks (BN), and tree augmented naïve bayes (TAN) with three datasets; Breast cancer, breast cancer wisconsin, and breast tissue dataset. Next, the prediction accuracies of bayesian approaches are also compared with three standard machine learning algorithms from the literature; K-nearest neighbor (K-NN), support vector machine (SVM), and decision tree (DT). The results showed that the best performance was the bayesian networks (BN) algorithm with accuracy of 97.281%. The results are hoped to provide as base comparison for further research on breast cancer detection. All experiments are conducted in WEKA data mining tool.]]>
<![CDATA[A critical insight into multi-languages speech emotion databases ]]>
<![CDATA[Syed Asif Ahmad Qadri]]>;
<![CDATA[Teddy Surya Gunawan]]>;
<![CDATA[Muhammad Fahreza Alghifari]]>;
<![CDATA[Hasmah Mansor]]>;
<![CDATA[Mira Kartiwi]]>;
<![CDATA[Zuriati Janin]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 8, No 4: December 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (303.859 KB)
|
DOI: 10.11591/eei.v8i4.1645
<![CDATA[With increased interest of human-computer/human-human interactions, systems deducing and identifying emotional aspects of a speech signal has emerged as a hot research topic. Recent researches are directed towards the development of automated and intelligent analysis of human utterances. Although numerous researches have been put into place for designing systems, algorithms, classifiers in the related field; however the things are far from standardization yet. There still exists considerable amount of uncertainty with regard to aspects such as determining influencing features, better performing algorithms, number of emotion classification etc. Among the influencing factors, the uniqueness between speech databases such as data collection method is accepted to be significant among the research community. Speech emotion database is essentially a repository of varied human speech samples collected and sampled using a specified method. This paper reviews 34 `speech emotion databases for their characteristics and specifications. Furthermore critical insight into the imitational aspects for the same have also been highlighted.]]>
