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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 9,199 Documents
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Fitting statistical distribution of extreme rainfall data for the purpose of simulation S.M. Shaharudin; N Ahmad; N.S. Mohamed; Hairulnizam Mahdin
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 3: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i3.pp1367-1374

Abstract

In this study, several types of probability distributions were used to fit the daily torrential rainfall data from 15 monitoring stations of Peninsular Malaysia from the period of 1975 to 2007. The study of fitting statistical distribution is important to find the most suitable model that could anticipate extreme events of certain natural phenomena such as flood and tsunamis. The aim of the study is to determine which distribution fits well with the daily torrential Malaysian rainfall data. Generalized Pareto, Lognormal and Gamma distributions were the distributions that had been tested to fit the daily torrential rainfall amount in Peninsular Malaysia. First, the appropriate distribution of the daily torrential rainfall was identified within the selected distributions for rainfall stations. Then, data sets were generated based on probability distributions that mimic a daily torrential rainfall data. Graphical representation and goodness of fit tests were used in finding the best fit model. The Generalized Pareto was found to be the most appropriate distribution in describing the daily torrential rainfall amounts of Peninsular Malaysia. The outputs can be beneficial for the purpose of generating several sets of simulated data matrices that mimic the same characteristics of rainfall data in order to assess the performance of the modification method compared to classical method. 
Uncertain Environment of Enterprise Alliance in Supply Chain Network Optimization Sun Qiong; Long Runxiang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

According to the actual situation of the enterprise alliance of supply chain networks and considering the complexity of the various links in the supply chain of uncertain factors, it should be take a solution on decomposition strategy - coordination of the supply chain system optimization and focus on the supply cost analysis facility decision on supplier selection and cost, the two a problem of coordination through the integration of activity-based costing. Then establish the supply chain network design of robust model. Finally, using stochastic simulation method and the particle swarm algorithm based on hybrid intelligent algorithm for solving the robust optimal solutions of the model, and an example is used to demonstrate the feasibility and effectiveness of the model and algorithm. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4510
Application of RBAC Model in System Kernel Guan Keqing; Li Hongxin; Kong Xianli
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 7: November 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

In the process of development of some technologies about Ubiquitous computing, the application of embedded intelligent devices is booming. Meanwhile, information security will face more serious threats than before. To improve the security of information terminal’s operation system, this paper analyzed the threats to system’s information security which comes from the abnormal operation by processes, and applied RBAC model into the safety management mechanism of operation system’s kernel. We built an access control model of system’s process, and proposed an implement framework. And the methods of implementation of the model for operation systems were illustrated. DOI: http://dx.doi.org/10.11591/telkomnika.v10i7.1449
Immunized-Evolutionary Algorithm Based Technique for Loss Control in Transmission System with Multi-Load Increment Sharifah Azwa Shaaya; Ismail Musirin; Shahril Irwan Sulaiman; Mohd Helmi Mansor
Indonesian Journal of Electrical Engineering and Computer Science Vol 6, No 3: June 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v6.i3.pp737-748

Abstract

Loss issue is significant in power system since it affects the operation of power system, which ultimately can be translated to monetary effect. Incremental demand that explicitly adding the reactive load causes extra heating losses in the transmission circuit. Without appropriate remedial control, the temperature increase on transmission line cable would end with insulation failure. This phenomenon can be alleviated with a proper compensation scheme that provides optimal solution along with avoidance of under-compensation or over-compensation. Evolutionary Programming (EP) has been recognised as one of the powerful optimisation technique, applied in solving power system problems. Nevertheless, EP is an old technique that sometimes could reach to a settlement that is not fully satisfied. Thus, the need for a new approach to improve the setback is urgent. This paper presents immunized-evolutionary algorithm based technique for loss control in transmission system with multi-load increment. The classical EP was integrated with immune algorithm so as to reduce the computational burden experienced by the classical EP. The algorithm has been tested on a IEEE 12-Bus System and IEEE 14-Bus System. Comparative study was conducted between EP and IEP in terms of optimisation performance. The optimal size and location of PV determined by IEP was able to control the loss in transmission system when the load increases. Results obtained from the studies revealed the merit of the proposed IEP; indicating its feasibility for future implementation in practical system.
Optimal Grid-Connected PV System for a Campus Microgrid Mohammed Reyasudin Basir Khan; Jagadeesh Pasupuleti; Jabbar Al-Fattah; Mehrdad Tahmasebi
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i3.pp899-906

Abstract

This paper discusses on the implementation of a grid-connected PV system for university campus in Malaysia. The primary goal of this study is to develop a grid-connected microgrid comprises of Photovoltaic (PV) and a battery storage system to meet the campus load demand and minimize grid dependency. The microgrid modeled and simulated in Hybrid Optimization Model for Electrical Renewable (HOMER) software. Actual load profile and renewable resources were used as an input parameter for the hybrid system. The campus selected is Universiti Kuala Lumpur, British Malaysian Institute as it represents typical load profile for a small campus. Therefore, the results can be used to represent hybrid system development for other small campuses in Malaysia as well. Firstly, optimal sizing of renewable energy (RE) were simulated with respect to total Net Present Cost (NPC) and Cost of Energy (COE). Then, sensitivity analysis conducted to determine the system performance based on changes of load growth, and renewable resources. The results demonstrate optimal HRES combinations for the campus microgrid comprises of 50 kWp of PV generations with 50 kW inverter. However, inclusion of 576 kWh battery storage system will increase the NPC but has higher RE penetration.
Theoretical Study of Multiple Solar Cells System as a Function of Temperature Ben Slimane Hassane; Ben Moussa Dennai; Helmaoui Abderrachid
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp4928-4933

Abstract

A simulation model has been performed on materials as Ge, Si, GaAs, AlGaAs and the values of gaps Egk of hypothetical materials, the calculation of the corresponding maximum efficiency was carried out for multigap solar cells systems coupled in splitting mode. The effects of an optical coupling by a dichroic mirror between independent solar cells, and solar cells coupled in series has been analysed. One particular result of our study is that the coupling by a dichroic mirror between an independent cell gives an interesting efficiency.
Wavelength Demultiplexer using Heterostructure Ring Resonators in Triangular Photonic Crystals Mohammad Reza Rakhshani; Moahmmad Ali Mansouri-Birjandi
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 4: April 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

In this Paper a new type of wavelength demultiplexer using ring resonators in 2D triangular photonic crystal is presented. The designed demultiplexer contents two regions which each own a resonator. Two dielectric constants are used in this demultiplexer. These structures which are called hetero have the capability to be used in wavelength division multiplexing (WDM) systems. The average transferred power for the two output channels is about 93%. The crosstalk between output channels was more than -18.5dB, also the overall size of the structure was about 144µm2 which is so appropriate for fabrication and integration. DOI: http://dx.doi.org/10.11591/telkomnika.v11i4.2331
Heartbeats: music recommendation system with fuzzy inference engine Vinothini Kasinathan; Aida Mustapha; Tan Sau Tong; Mohamad Firdaus Che Abdul Rani; Nor Azlina Abd Rahman
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp275-282

Abstract

In developing a music recommendation system, there are several factors that can contribute to the inefficiency in music selection. One of the problems persists during the music listening is that common music playing application lacks the ability to acquire context of the user. Another problem that common music recommendation system fails to address the is emotional impact of the recommended song. To address this gap, this paper presents a music recommendation system based on fuzzy inference engine that considers user activities and emotion as part of the recommendation parameters. The system includes building a smart music recommendation system that has user profiling capabilities to recommend correct songs based on the user’s preferences, mood and time. Findings of the this paper have shown that Heartbeats’s fuzzy inference engine has successfully achieved its aim, which is to improve users’ music listening experience by giving suitable song recommendation based on user context situation.
Study of multiple-source data collection in wireless sensor networks Radhi Sehen Issa
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 3: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i3.pp1479-1483

Abstract

A detailed survey on the process of data collection from multiple sources in Wireless Sensor Networks (WSNs) is introduced. The topologies that determine the location of the network components with respect to each other are presented. These topologies are often referred to as Mobility topologies. The performance of the overall WSN architecture significantly depends on these topologies. As a consequence, these topologies are elaborately compared and discussed. The most common network components that efficiently collaborate in data collection process are explained. To highlight the data collection process as a subject of our concern, the phases that describe the stages of the data collection are illustrated. These phases consist of three successive stages: discovery, data transfer, and routing. To sum up, the most recent approaches for developing the process of data collection in multiple-source WSNs are also presented.
Study of Different Parametric Variations of MOSFET Pressure Sensor Shruti Bhargava; Spv Subbarao
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 1: April 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v10.i1.pp19-26

Abstract

There is a growing demand of miniaturization of the electronics world. A brief discussion for simulating and fabrication of the MOSFET based pressure sensor in nanoscale is being reviewed in this paper. Aim of this paper is to collect all the scaling challenges and their solutions together to make understanding the facts of the MOSFET based sensor. As the MOSFET move from micro scale to nanoscale the functioning changes dramatically. The Silicon oxide material fails when scale down to nano region. However, many issues such as electrical quality , thermodynamic stability, Kinetic stability, gate compatibility and process compatibility were being solved in the process of integration and implementation.

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