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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
Published by Institute of Advanced Engineering and Science
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 9,174 Documents
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Performance Enhancement of Bidirectional NOC Router With and Without Contention for Reconfigurable Coarse Grained Architecture Yazhinian Sougoumar; Tamilselvan Sadasivam
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i3.pp1068-1074

Abstract

Network on Chip (NoC) router plays a vital role in System on Chip (SoC) applications. Routing operation is difficult to perform inside the SoC chip. Because it contains millions of chips in one single Integrated Circuit (IC), in which every chip consists of millions of transistors. Hence NoC router is designed to enable efficient routing operation in the SoC board.  NoC router consists of Network Interconnects (NI), Crossbar Switches, arbiters, a routing logic and buffers. Conventional unidirectional router is designed by priority based Round Robin Arbiter (RRA). It produces more delay to find the priority, which comes from various input channels and more area is consumed in unidirectional router. Also if any path failure occurs, it cannot route the data through other output channel. To overcome this problem, a novel bidirectional NoC router with and without contention is proposed, which offers less area and high speed than the existing unidirectional router. A novel bidirectional NoC router consists of round robin arbiter, Static RAM, switch allocator, virtual channel allocator and crossbar switch. The proposed bidirectional router can route the data from any input channel to each and every output channel. So it avoids conflict situation and path failure problems. If any path fails, immediately it will take the alternative path through the switch allocator. The proposed routing scheme is applied into the coarse grained architecture for improving the speed of the interconnection link between two processing elements. Simulation is performed by ModelSim6.3c and synthesis is carried out by Xilinx10.1.
Mitigation of magnetising inrush current in three–phase power transformer Mudita Banerjee; Anita Khosla
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 1: October 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i1.pp39-45

Abstract

During energization of no – load transformers, a high and peaky current flow on the primary side which has rich second harmonics. This current is magnetising inrush current and it is generated when transformer core is driven deep into saturation. This current has various disturbances on transformer attribute; reduced life-span, major voltage drop, insulation weakening, electrical and mechanical vibrations in coils, difficulties in protecting relays and all leads to poor power quality of the electric system. This paper presents the analysis and comparison of recent techniques to reduce the magnitude of inrush current during energization of power transformer. The simulation results are provided for Pre – insertion of resistors, Controlled swithing and Pre – fluxing method. The best method is suggested for mitigating inrush current by simulating in MATLAB/SIMULINK environment.
Design of amplitude and phase modulated pulse trains with good auttocorrelation properties for radar communications S.J Rosli; H.A. Rahim; K.N. Abdul Rani
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 3: March 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i3.pp990-998

Abstract

Development of technique for synthesizing multilevel sequences with good correlation properties is very useful for several radar applications where as a set of phase and amplitude coded sequences will be synthesized directly for compression technique. In reality, the signal processing also been significant to transmit or store signals, to enhance desired signal component and to extract useful information carried by signals. Consequently, this paper describes affectively methods to generating the finite length multilevel sequence of any length that have low side lobe energy (SLE) and improved energy ratio (ER) in their autocorrelation function (ACF). Testing for the stability and the analyzing of systems zero pattern using z-transform for the generating sequence indicates a possible position of roots in the radius of circle lies. This is illustrated by application of 13-element Huffman code as a starting sequence, this technique more low complexity and compatible compared inverse filtering technique.
Enhanced BFGS Quasi-Newton Backpropagation Models on MCCI Data Nor Azura Md. Ghani; Saadi Ahmad Kamaruddin; Norazan Mohammed Ramli; Ismail Musirin; Hishamuddin Hashim
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 1: October 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i1.pp101-106

Abstract

Neurocomputing is widely implemented in time series area, however the nearness of exceptions that for the most part happen in information time arrangement might be hurtful to the information organize preparing. This is on the grounds that the capacity to consequently discover any examples without earlier suppositions and loss of all-inclusive statement. In principle, the most well-known preparing calculation for Backpropagation calculations inclines toward lessening ordinary least squares estimator (OLS) or all the more particularly, the mean squared error (MSE). In any case, this calculation is not completely hearty when exceptions exist in preparing information, and it will prompt false estimate future esteem. Along these lines, in this paper, we show another calculation that control calculations firefly on slightest middle squares estimator (FFA-LMedS) for BFGS quasi-newton backpropagation neural network nonlinear autoregressive moving (BPNN-NARMA) model to lessen the effect of exceptions in time arrangement information. In the in the mean time, the monthly data of Malaysian Roof Materials cost index from January 1980 to December 2012 (base year 1980=100) with various level of exceptions issue is adjusted in this examination. Toward the finish of this paper, it was found that the upgraded BPNN-NARMA models utilizing FFA-LMedS performed extremely well with RMSE values just about zero errors. It is expected that the finding would help the specialists in Malaysian development activities to handle cost indices data accordingly.
Security of a New Cryptographic Hash Function - Titanium Abdullah Nazeeh Saleh; Mohammad A. Al-Ahmad
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 3: June 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v10.i3.pp1244-1250

Abstract

This paper introduces the security analysis of Titanium hash function that uses SF block cipher and follows sponge construction. A brief description of the sponge function and the design choice of Titanium are introduced. Basic security criteria of random function have been presented and studied on Titanium and then, differential cryptanalysis on Titanium has been performed and showed the resistance of it on the most recent differential attacks. A table of security discussions finalizes the paper and describes the complexity of Titanium on brute force cryptanalysis.
Robust SINS/GNSS Integration Method for High Dynamic Applications Falin Wu; Hengyang Zhao; Yan Zhao; Haibo Zhong
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 2: February 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

As high dynamic movement is always accompanied by colored noise which lacks of mathematical model, traditional Kalman filtering based on an assumption of white Gaussian noise always faces serious divergence. To enhance the performance in high dynamic environment with uncertain colored noise, a kind of robust filtering based on H-infinity technology isdeveloped. State model of the algorithm is derived from SINS error propagation. Both position and velocity errorsare used as the measurements. A simulation system which includes a tri-axial turntable and a GNSS signal simulator is used to verify the integration design under high dynamic environment. Simulation results proved that both the accuracy and robustness of the integration design have been improved significantly.DOI: http://dx.doi.org/10.11591/telkomnika.v13i2.6876 
Investigation of iris segmentation techniques using active contours for non-cooperative iris recognition Akinola Samuel Akinfende; Agbotiname Lucky Imoize; Olumide Simeon Ajose
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 3: September 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i3.pp1275-1286

Abstract

Iris image segmentation process based on graphical user interface (GUI) to accurately localize the iris structure is presented in this paper. The major challenge confronting the precision of an iris recognition model is how to determine the accuracy of the iris segmentation and localization. There are varying parameters that introduce constraints during feature extraction and these greatly affect the matching performance during iris localization. To this end, the Integro-differential operator, which involves the detection of inner and outer regions of the iris, and the circular hough transform, which is capable of detecting the circular boundary from the edge mapping were investigated, and an active contour model was evolved. In the evolved model, an emerging curve mapped with the zeros of the data set function is experimentally exploited. To demonstrate the suitability of the model for precise iris recognition, its parameters were compared against other related models. Simulation results show that the model has higher flexibility of substitution of images, and the images could be analyzed more accurately with less false rejections (FR) and false acceptance (FA) in comparison with the integro-differential operator. This implies that images could be analyzed faster using the evolved model, and easily substituted especially in situations where the need to care for numerous eye patients occur.
A Multi Output Formulation for Analog Circuits using MOM-SVM Shivalal Patro; Sushanta Kumar Mandal
Indonesian Journal of Electrical Engineering and Computer Science Vol 7, No 1: July 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v7.i1.pp90-96

Abstract

This paper proposes performance based macro modeling of analog circuit using Multi Output Modeling (MOM) with the help of Support Vector Machine (SVM). SVM models the analog circuits and provides a relation between multi-input and multi-output parameters. In this work, Voltage Controlled Oscillator (VCO) is modeled as a test circuit which is designed in Cadence Virtuoso GPDK 45nm technology. From the Spice simulation results, the feasible dataset has been extracted from the complete dataset. Then, the VCO output frequency and phase noise is modeled by the width of the transistors which are the input parameters of the transistors. After tuning the model properly by k-cross validation method, the accuracy was found to be 96.1% which is good enough to make it use for the circuit synthesis purpose.
Resolution of economic dispatch problem of the morocco network using crow search algorithm Rachid HABACHI; Achraf Touil; Abdellah Boulal; Abdelkabir Charkaoui; Abdelwahed Echchatbi
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 1: January 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i1.pp347-353

Abstract

The economic dispatch problem of power plays a very important role in the exploitation of electro-energy systems to judiciously distribute power generated by all plants. This paper proposes use of Crow Search Algorithm (CSA), for solving the economic dispatch of two electricity networks: a testing system 6 units and the morocco network the crow search algorithm (CSA) is a recently developed metaheuristic search algorithm inspired by the intelligent behavior of crows..The results obtained by CSA are compared with various results obtained in the literature. Simulation results shows that using CSA can lead to finding stable and adequate power generated that can fulfill the need of both the civil and industrial areas.
Determination of favorable blood glucose target range for stochastic TARgeted (STAR) glycemic control in Malaysia A. Abu-Samah; N. N. A. Razak; A. A. Razak; U. K. Jamaludin; F. M. Suhaimi; A. M. Ralib
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 1: July 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i1.pp133-141

Abstract

Stress-induced hyperglycemia is common in critically ill patients, but there is uncertainty about what constitutes an optimal blood glucose target range for glycemic control. Furthermore, to reduce the rate of hyperglycemic and hypoglycemic events, model-based glycemic control protocols have been introduced, such as the stochastic targeted (STAR) glycemic control protocol. This protocol has been used in the intensive care units of Christchurch and Gyulà Hospital since 2010, and in Malaysia since 2017. In this study, we analyzed the adaptability of the protocol and identified the blood glucose target range most favorable for use in the Malaysian population. Virtual simulation results are presented for two clinical cohorts: one receiving treatment by the STAR protocol itself and the other receiving intensive insulin therapy by the sliding scale method. Performance and safety were analyzed using five clinical target ranges, and best control was simulated at a target range of 6.0–10.0 mmol/L. This target range had the best balance of performance, with the lowest risk of hypoglycemia and the lowest requirement for nursing interventions. The result is encouraging as the STAR protocol is suitable to provide better and safer glycemic control while using a target range that is already widely used in Malaysian intensive care units

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