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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 65 Documents
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Search results for , issue "Vol 16, No 3: December 2019" : 65 Documents clear
Performance comparison of java based parallel programming models Muhammad Na’im Fikri Jamaluddin; Azlan Ismail; Amir Abd Rashid; Talha Takleh Omar Takleh
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 3: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i3.pp1577-1583

Abstract

Parallel programming has been implemented in many areas to solve various computational problem with the aim, to improve the performance and scalability of the software application. There are a few parallel programming models commonly used, namely, threads, and message passing (distributed) models. Furthermore, various APIs have been proposed to implement these models based on two popular languages, notably, C/C++ and Java. A few studies have been done to compare the performance of parallel programming models, specifically, pure versus hybrid model. However, most of existing comparisons targeted on MPI/OpenMP based on C/C++ language. In this paper, our aim is to explore the performance comparison between threads, message passing and hybrid model in Java, specifically using Java multithreading and MPJ Express. For this reason, we have chosen a problem called word count occurrence which is significant in Natural Language Processing and use it to design and implement the parallel programs. We then present their performance and discuss the results.
Design and fault tolerant analysis of five-phase permanent magnet synchronous motor Ahmad Sofian Saari Saari; Dahaman Ishak
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 3: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i3.pp1115-1125

Abstract

This paper presents a design of 15-slot/12-pole, five-phase, surface-mounted permanent magnet synchronous motor (PMSM).  The five-phase PMSM can be an attractive solution to few applications that demand fault tolerant capability such as in aerospace engineering and electric propulsion. The motor model is first investigated based on the implementation of analytical method. The analytical method derived from the subdomain model of the permanent magnet machine is initially applied to estimate the magnetic flux density distributions for the radial component Br and the tangential component Bt in the machine air gap. Other important motor characteristics such as phase back-EMF, line back-EMF, cogging torque and electromagnetic torque are also calculated. The analytically calculated results are then compared with the numerical method in a 2D finite element analysis. Additionally, the capability of this PMSM model against faulty conditions are further investigated. The results show that the analytical model of the 15-slot/12-pole, five-phase PMSM provides very accurate motor performance within acceptable error margin. For instance, the average electromagnetic torques, inclusive of the cogging torque, as computed by the analytical and numerical methods are 5.53Nm and 5.33Nm respectively, yielding an error of 3.6%. During faulty conditions, the PMSM can possibly continue to operate with lower output torque, about 60% to 80% of its rated torque, when one-phase or two phase windings are out of service.
Optimization of house purchase recommendation system (HPRS) using genetic algorithm K.A.F.A. Samah; I.M. Badarudin; E.E. Odzaly; K.N. Ismail; N.I.S. Nasarudin; N.F. Tahar; M.H. Khairuddin
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 3: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i3.pp1530-1538

Abstract

This paper presents the optimization of house purchase recommendation system (HRPS) using Genetic Algorithm.  Everyone in this world has their own dream house and plan to purchase it depending on their budget and based on the house preferences. Homebuyers face problem in comparing the house property websites according to the factors during the house survey. Subsequently, it is time-consuming in making the decision and they need to bear the transportation cost as they will need to travel to one house developer office to another. In addition, some of the homebuyers felt disappointed when their expectations were not met. Thus, in order to optimize the preferences, in this paper, we present a web-based house purchase recommendation system (HPRS) using a genetic algorithm. Then, it follows by test the functionality and usability of the system. As a result, the system found to function accordingly and obtain more than the average score of system usability scale testing. For further research, it is recommended to add more data to the database and compare with other algorithms.
Evaluation of computer network security using attack undirected geography Chanintorn Jittawiriyanukoon
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 3: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i3.pp1508-1514

Abstract

To secure a wealth of data traversing the computer network at your fingertips is compulsory. But when attack arises at various parts of the network it is difficult to protect, especially when each incident is investigated separately. Geography is a necessary construct in computer networks. The analytics of geography algorithms and metrics to curate insight from a security problem are a critical method of analysis for computer systems. A geography based representation is employed to highlight aspects (on a local and global level) of a security problem which are Eigenvalue, eccentricity, clustering coefficient and cliques. Network security model based on attack undirected geography (AUG) is familiarized. First, analysis based upon association rules is presented then the attack threshold value is set from AUG. The probability of an individual attack edge and associated network nodes are computed in order to quantify the security threat. The simulation is exploited to validate that results are effective.
Ant colony optimization based energy efficiency for improving opportunistic routing in multimedia wireless mesh network S. Harikishore; V. Sumalatha
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 3: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i3.pp1371-1378

Abstract

Opportunistic Routing (OR) is developing as a favourable prototype to diminish performance deprivation in Wireless Mesh Networks (WMNs) owing to changing channel conditions and link breakages. When a flow of data is forwarded towards their destination, intermediate forwarders can attune the information of the route carried by the nodes. However, OR does not solve these problems such as routing efficiency and Energy Consumption. If the necessary energy is not presented, the packet is rejected and the delay occurs in the network. To overcome these problems, an Ant Colony Optimization based Energy Efficiency for improving opportunistic routing in Multimedia WMN (ACO-EE) is proposed. In this scheme, we develop the optimal energy strategy based on optimal transmission distance and remaining energy computation is saving node energy and enhancing the network lifetime. The ant colony optimization based route formation is to improve both the energy efficiency and opportunistic routing efficiency in WMN.Simulation results show that ACE-EE can effectively reduce the energy utilization of nodes and extend the network lifetime.
Development of four quadrant operation of DC to DC converter using single phase matrix converter Rahimi Baharom; Abdul Muin Awang
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 3: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i3.pp1249-1256

Abstract

Single-Phase Matrix Converter (SPMC) is an advanced circuit topology that offer advantages such as the capability to regenerate energy back to the input, sinusoidal input and output current and a manageable input current displacement factor. By considering the opportunity of an advanced SPMC topology, further exploration on DC to DC operation is proposed. The four-quadrant operation of switching algorithm was developed to control the SPMC circuit. The voltage and current profile of each quadrant was investigated to validate the proposed switching control algorithm. As part of four quadrants DC to DC operation, the safe commutation switching algorithm was also developed in order to solve the commutation problem due to the used of an inductive load. The pulse width modulation (PWM) techniques was utilized to synthesize the output of the proposed converter. Results from MATLAB/Simulink are presented to validate the proposed circuit operation.
Optimal operation management of grid-connected microgrids under uncertainty Surender Reddy Salkuti
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 3: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i3.pp1163-1170

Abstract

This paper proposes a new optimal operation of Microgrids (MGs) in a distribution system with wind energy generators (WEGs), solar photovoltaic (PV) energy systems, battery energy storage (BES) systems, electric vehicles (EVs) and demand response (DR). To reduce the fluctuations of wind, solar PV powers and load demands, the BES systems and DR are utilized in the proposed hybrid system. The detailed modeling of WEGs, solar PV units, load demands, BES systems and EVs has been presented in this paper. The objective considered here is the minimization of total operating cost of microgrid, and it is formulated by considering the cost of power exchange between the main power grid and microgrid, cost of wind and solar PV energy systems, cost of BES systems, EVs and the cost due to the DR in the system. Simulations are performed on a test microgrid, and they are implemented using GAMS software. Various case studies are performed with and without considering the proposed hybrid system.
Optimal volt/var control of distribution system using MOPSO Ramesh Babu M; C. Venkatesh Kumar; R. Sreekanth
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 3: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i3.pp1088-1095

Abstract

This paper presents a novel method for solving multi-objective Volt/Var control of radial distribution system. The Volt/Var control is formulated as a multi-objective optimization problem which consists of the following objectives: minimization of real power loss, minimization of total voltage deviation and minimization of number of OLTC’s and capacitor operation and voltage fluctuations for a day-a-head in Distribution system.The Proposed MOPSO Algorithm is used to find the optimal settings of control variables such as On-Load tap changer (OLTC) and Shunt Capacitor. The proposed MOPSO algorithm is tested on a standard IEEE33-bus and 69-bus distribution system.
Implementation simulink modeling to analysis the transient cases and torque speed characteristic in a three phase induction motors Omar Al-barbarawi; Ghazi M. Qaryouti
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 3: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i3.pp1077-1087

Abstract

In this research, has been a developed  modular approach  for investigation of the dynamic behavior and analysis the steady -state and transient cases  for a three-phase induction motor when it is fed with a balanced and unbalanced voltage , and analysis the  behavior of the Torque-Speed characteristics at various conditions. This analysis is done systematically by development two mathematically models. Where the first model is proposed   to simulate the dynamic behavior of the motor when supplying it at balanced and unbalanced voltage in Matlab/Simulink by using d-q axis theory in the reference frame. This model can investigate and described in details the behavior of the induction motor  parameters, and enables the researcher to calculate or investigate any variable for an induction machine  parameter ; (e.g. The  voltage, current, flux, speed and torque as a function of time) in both cases  transient and steady state , when the motor in operation state  [11-16].  The other model is proposed to simulate in the Microsoft Excel program, by using  the ratio between the conventions  of the electromagnetic torque equation(Tem)  and maximum torque equation (Tmax) . To study and analysis the behavior of the Torque-Speed characteristics for a 3-phase induction motor. Where this models study's by using Excel program's and Matlab / Simulink to simulation the effect of the various parameters on the dynamic behavior of the motor such as  inserting variable external resistance in series with rotor circuit , and when supplying the stator by variable voltage. These Mathematical models could be   used for a wide range of motors which has a various horse powers , which needing it in a scientific research and practical applications.
Implementing bezier surface interpolation and N.N in shape reconstruction and depth estimation of a 2D image. Mohamed Ibrahim Shujaa; Ammar Alauldeen Abdulmajeed
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 3: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i3.pp1609-1616

Abstract

This paper considers a 2D image depth estimation of an object and reconstructed it into a 3D object image. The 2D image is defined by slices contains asset of points that are located along the object contours and within the object body. The depth of these slices are estimated using the neural network technique (N.N), where five factors (slice length, angle of incident light and illumination of some of point that located along the 2D object, namely control points)are used as inputs to the network the estimated depth of the slice are mapped into a 3D surface using the interpolation technique of the Bezier spleen surface. The experimental results showed an effective performance of the proposed approach.

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