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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 28 Documents
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Search results for , issue "Vol 4, No 2: November 2016" : 28 Documents clear
Significant Effect of Vital Rule of Simulators in Wireless Sensor Networks Muhammad Toufique; Hongbo Jiang
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 2: November 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v4.i2.pp424-428

Abstract

It is the requirement of the time, to simulate/emulate for analyzing the system. Therefore we must need some tools for this specific task. This paper is for encompassing the available tools for analyzing and evaluation purpose. Paper having all these exclusive information with detail are not available. We show ATEMU, Avrora, EmStar, J-Sim, NS-2, OMNeT++ and TOSSIM. We try to analyze the tools thoroughly. We define and discusss about the operation, functionality, advantages, disadvantages and constraints. These are the main stream superb simulation tools based on state of the art techniques. We explore on the basis of popularity, accessibility (open source), complexity, accuracy, scalability, extensibility and availability of various problems in homogenous and heterogenous WSN and other networks on different platforms and with or without using different scripting languages.
Learning Vector Quantization Image for Identification Adenium Resty Wulanningrum; Bagus Fadzerie Robby
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 2: November 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v4.i2.pp383-389

Abstract

Information and technology are two things that can not be separated and it has become a necessity for human life. Technology development at this time was not only used for intelligence purposes only, but has penetrated the world of holtikurtura. Adenium is one of the plants are much favored by ornamental plants lovers. Many of cultivation adenium who crosses that appear new varieties that have the color and shape are similar to each other. From this case, then made an application that can identify the type of adenium based on the image of that flower. Learning Vector quantization is one of the algorithm  that used for clustering. Based on test scenarios were performed, image identification applications Adenium petals produce an accuracy of 86.66% with a number of training dataset of 135 images and datasets with a test as many as 45 images max epoch 10 and learning rate between 0.01 to 0.05.
Low Power FGSRAM Cell Using Sleepy and LECTOR Technique Kanan Bala Ray; Sushanta Kumar Mandal; Shivalal Patro
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 2: November 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v4.i2.pp333-340

Abstract

In this paper floating gate MOS (FGMOS) along with sleep transistor technique and leakage control transistor (LECTOR) technique has been used to design low power SRAM cell. Detailed investigation on operation, analysis and result comparison of conventional 6T, FGSRAM, FGSLEEPY, FGLECTOR and FGSLEEPY LECTOR has been done. All the simulations are done in Cadence Virtuoso environment on 45 nm standard CMOS technology with 1 V power supply voltage. Simulation results show that FGSLEEPY LECTOR SRAM cell consumes very low power and achieves high stability compared to conventional FGSRAM Cell
A Study on Digital Forensics in Hadoop Sachin Arun Thanekar; K. Subrahmanyam; A.B. Bagwan
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 2: November 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v4.i2.pp473-478

Abstract

Nowadays we all are surrounded by Big data. The term ‘Big Data’ itself indicates huge volume, high velocity, variety and veracity i.e. uncertainty of data which gave rise to new difficulties and challenges. Hadoop is a framework which can be used for tremendous data storage and faster processing. It is freely available, easy to use and implement. Big data forensic is one of the challenges of big data. For this it is very important to know the internal details of the Hadoop. Different files are generated by Hadoop during its process. Same can be used for forensics. In our paper our focus is on digital forensics and different files generated during different processes. We have given the short description on different files generated in Hadoop. With the help of an open source tool ‘Autopsy’ we demonstrated that how we can perform digital forensics using automated tool and thus big data forensics can be done efficiently.
Analysis of Five-Level DSTATCOM for Harmonic Reduction in Power System Due To Non-Linear Loads N. Raveendra; V. Madhusudhan; A. Jayalaxmi
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 2: November 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v4.i2.pp286-297

Abstract

This paper deals with the elimination of harmonics at PCC in the presence of non-linear type of loads. Introduction of five-level DSTATCOM at PCC injects compensating currents for the minimization of harmonic content in the source currents. Non-linear loads when connected to the system draw non-linear components of current leaving undesired harmonics at the source side. DSTATCOM when connected to the system at the coupling point induces compensating currents to nullify harmonics. This paper introduces the simulation modelling of five-level DSTATCOM for harmonic elimination. Matlab/Simulink  modelling was done for the system without DSTATCOM and its harmonic contents were shown. The system without DSTATCOM is compared with the system with the presence of DSTATCOM showing their respective THD in the source current. Five level DSTATCOM was validated by considering fixed load and variable load. Simulation work was carried out for three types of systems and results were obtained using Matlab/Simulink.
Prediction Of College Student Achievement Based on Educational Background Using Decision Tree Methods Ratih Kumalasari Niswatin; Resty Wulanningrum
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 2: November 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v4.i2.pp429-438

Abstract

College student as a product can be used as a reference to show the success of education. This research will build a system prediction of college student achievement based on educational background using decision tree method.The research will be conducted on students of Informatics Engineering Department, Faculty of Engineering, University of Nusantara PGRI Kediri. The objective of this system is to help the new admissions process in the selection of students is based on the predicted results of student achievement and help the department to classify new students based on educational background. The method used to predict student achievement is the algorithm C4.5 decision tree method using several criteria based on the educational background of students before, they arethe uan mathematical value, the uan Indonesianvalue, theuan English value, the majors in the school, and the average report cards in the school of origin. This system will be made based on the web to be more effective, fast and easy to use. This system will produce predictions of student achievement information on Informatics Engineering
A Review on Model of Integrating Renewable Distributed Generation into Bali’s Power Distribution Systems: Issues, Challenges, and Possible Solutions Ngakan Putu Satriya Utama; Rukmi Sari Hartati; Wayan G. Ariastina; Ida Bagus A. Swamardika; Ontoseno Penangsang
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 2: November 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v4.i2.pp245-255

Abstract

Spurred by a global energy crisis, the use of renewable distributed generation (DG) with solar photovoltaic (PV) energy, micro-hydro power, and biomass power are gaining momentum and play major role in Bali’s distribution system as an alternative distribution system planning option. If distributed generation planning is optimal by selected optimization of multi-objective function under certain operating constraints and then their site and size are also selected optimally, the penetration of DGs is potentially beneficial. This paper would review techno-economic model objective, voltage profile improvement and power losses constraints as well as optimization based model using particle swarm optimization (PSO) algorithm application in Bali’s distributed generation planning.
Video Transmission using Combined Scalability Video Coding over MIMO-OFDM Systems Kalvein Rantelobo; Hendro Lami; Wirawan Wirawan
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 2: November 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v4.i2.pp390-396

Abstract

The needs of efficient bandwidth utilization and method to handle bandwidth fluctuation condition of wireless channel have become fundamental problems in video transmission. This research proposed Combined Scalable Video Coding (CSVC) that refers to Joint Scalable Video Model (JSVM), i.e. development of video coding H.264/AVC by exploiting scalable combination method using Medium Grain Scalability (MGS) on wireless channel of MIMO-OFDM (Multiple Input Multiple Output – Orthogonal Frequency Division Multiplexing) technology. The research shows that the scalable combination method can be implemented on the scenario for wireless transmission on multicast network. Experimental results show that the delivered quality is close to the alternative traditional simulcast delivery mechanism in MIMO-OFDM systems.

Page 3 of 3 | Total Record : 28

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