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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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Quadratic Programming Thrust Allocation and Management for Dynamic Positioning Ships Yushi Wei; Mingyu Fu; Jipeng Ning; Xingyan Sun
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: March 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

To solve the complex thrust allocation problems of dynamic positioning ship with azimuth thrusters, the quadratic programming thrust allocation and management system was built. The power optimal thrust allocation was formulated as a quadratic programming problem by the linear treatments of inequality constraints and the optimal solution could be found in a finite amount of time. And some influence factors of thruster allocation were separated from algorithms and treated as a superstratum management module. In this system, online adjustment of input constraints and singularity avoidance could be realized, and the reliability and adaptability of thrust allocation were improved consequently. Finally, the validity and excellent performance of this method was proved by the simulation. DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2318
Comparison of malware detection techniques using machine learning algorithm Nur Syuhada Selamat; Fakariah Hani Mohd Ali
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.pp435-440

Abstract

Currently, the volume of malware grows faster each year and poses a thoughtful global security threat. The number of malware developed increases as computers became interconnected, at an alarming rate in the 1990s. This scenario resulted the increment of malware. It also caused many protections are built to fight the malware. Unfortunately, the current technology is no longer effective to handle more advanced malware. Malware authors have created them to become more difficult to be evaded from anti-virus detection. In the current research, Machine Learning (ML) algorithm techniques became more popular to the researchers to analyze malware detection. In this paper, researchers proposed a defense system which uses three ML algorithm techniques comparison and select them based on the high accuracy malware detection. The result indicates that Decision Tree algorithm is the best detection accuracy compares to others classifier with 99% and 0.021% False Positive Rate (FPR) on a relatively small dataset.
Cooperative and fresher encounter algorithm for reducing delay in MANET Noor Alleema; D. Siva Kumar
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.pp1258-1265

Abstract

In Mobile Ad-hoc Networks (MANET), the route discovery is the chief problem for the nodes. In this paper Cooperative and Fresher Encounter Algorithm (CFEA) for Reducing Delay in MANET is proposed. The route discovery problem has been overcome by FResher Encounter algorithm. It is a simple algorithm for discovery the routes in efficient manner in the MANET. The node has the memory of past route details that communicate with remaining nodes. The node prefers to find the intermediate node instead of finding the destination node, that intermediate node keeps the knowledge of recently encounter the destination node. Then the intermediate node communicates with the node which is encountered the destination node recently, and the process is continued until the destination is attained. The main advantage of the scheme is reducing the process time.
Architecting Virality: Information Sharing from Government FB Page to Netizens Afdallyna Fathiyah Harun; Siti Nuradzarul Aqmaar Adzman; Fauzi Mohd Saman; Saiful Izwan Suliman
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 3: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i3.pp660-666

Abstract

In accordance with e-government initiatives, many ministries in Malaysia have engaged content to public using social media for better two-way communications. However, creating an online presence is not necessarily easy as digital content consumers are often bombarded with information and those that fail to capture information will be rendered uninteresting and irrelevant. This is imperative as for most part, users are in control of where they allocate attention and what they share. Using virality as a context, it is opined that information content that are well-designed will trigger specific information and propel the sharing of that information over the Internet. A study employing FB post categorization and sharing motivations survey was carried out in the context of Ministry of Health Malaysia Facebook page. The findings show that users are inclined towards Infographics with various sharing motivations. The results can be used by Malaysian ministries on how best to design and disseminate information for the benefit of the netizens on social media sites.
Gap analysis business process model by using structural similarity Afrianda Cahyapratama; Kelly Rosa Sungkono; Riyanarto Sarno
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 1: April 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i1.pp124-134

Abstract

Gap analysis process model is a study that can help an institution to determine differences between business process models, such as a model of Standard Operating Procedure and a model of activities in an event log. Gap analysis is used for finding incomplete processes and can be obtained by using structural similarity. Structural similarity measures the similarity of activities and relationships depicting in the models.  This research introduces a graph-matching algorithm as the structural similarity algorithm and compares it with dice coefficient algorithms. Graph-matching algorithm notices parallel relationships and invisible tasks, on the contrary dice coefficient algorithms only measure closeness between activities and relationships. The evaluation shows that the graph-matching algorithm produces 76.76 percent similarity between an SOP model and a process model generating from an event log; while, dice coefficient algorithms produces 70 percent similarity. The ability in detecting parallel relationships and invisible tasks causes the graph-matching algorithm produces a higher similarity value than dice coefficient algorithms.
Study of Economical-Technical Impacts of Distributed Generation on Medium-Voltage Grid Thi Dieu Thuy Nguyen; Jiangjun Ruan; Quan Nhu Nguyen; Ngoc Giang Le; Dan Tan; Longfei Hu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

The development of Science and Technology has spurred the development of distributed generation, as well as the application of new renewable energy sources. DG connected to the grid can alter the power flow on the grid, reduce voltage loss and grid capacity loss; and also enhance the incident and reliability of grid power supply. When the number of DG connected to the grid increases, capacity direction varies depending on the distribution and consumption at specific time. Consequently, capacity losses in the grid can be reduced. Besides, DG connected to the grid is closely linked to the matters of environmental pollution and degradation, economic growth and living standard. This paper will discuss the impacts of grid-distributed generation on economic and technical indicators, which mainly focus on the relationship between degree of penetration and location of DG connection to the grid, regarding voltage and capacity losses in the line. The proposed model is calculated and tested via a 56-bus radial distribution system in the DELPHI7 programming language. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3796
Bidirectional Luo Converter Fed Switched Reluctance Motor R. Balamurugan; M. Vishvanath
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 12: December 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

The present work aims at designing and modelling of a bidirectional DC-DC LUO converter for driving a Switched Reluctance Motor. LUO converters are new series of DC/DC Converters that have very low ripple of voltage and current and have output wave with high quality, high power density and high transfer voltage gain and don’t have circuit elements parasitic limits of traditional converters. LUO converters have very high voltage transfer gains in geometric progression on stage by-stage. A C- Dump converter is used to drive the SRM drive. The present design aims at improving the efficiency of the Switched Reluctance Motor drive system by the incorporation of the bidirectional DC-DC LUO converter between the electrical source and the drive system.  http://dx.doi.org/10.11591/telkomnika.v12i12.6883 
IR and Multi Scale Retinex image Enhancement for Concealed Weapon Detection Nashwan Jasim Hussein; Fei Hu; Hao Hu; Abdalrazak Tareq Rahem
Indonesian Journal of Electrical Engineering and Computer Science Vol 1, No 2: February 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v1.i2.pp399-405

Abstract

A Concealed Weapon Detection (CWD) had been developed by a large number of researchers and technologies. As a result of the weakness of the infrared images in unique altogether graphic items, infrared and MMW images become inaccurate and insufficient to obviously detectand deal withweaponry objectsin an invisible setting. This article uses Multi Scale Retinex and contrast stretching image processing enhancement techniques to improve the recognition of weapons concealed below attire. Specifically, the focus of the study is on detecting weapons and ammos by enhancing the IR pictures based on image processing techniques. Evaluation techniques were empirically proved to be able to show the enhancement percentage progress.
State Estimation for Electrolytic Capacitor with Parameter Fitting Wang Lei; Xu Chunmei; Du Huiqing; Meng Linghui
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 8: August 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Metro supply system composed of PWM rectifier, i.e. supply system with bi-directional power flow, contributes much to improve supply quality. However, the electrolytic capacitors, working as DC-side supporting capacitor, are relatively weakest in the whole system, so that state estimation for electrolytic capacitor should be taken into consideration. In view of the difficulty in application of conventional capacitor estimation approach with voltage and current ripples into PWM rectifier, this paper proposes a novel approach, which first searches into capacitor’s aging mechanism, presents approximate relation between capacitance and equivalent serial resistance of electrolytic capacitor through mathematical fitting, and then derives the discrete iterative equations of  capacitance and equivalent serial resistance from the analytical model of PWM rectifier. Finally, capacitor state estimation is combined with Miner criterion, which implies digital accumulated damage principle. DOI: http://dx.doi.org/10.11591/telkomnika.v11i8.3049 
Faults Signature Extraction in Wind Farm Integrated Transmission Line Topology Osaji Emmanuel; Mohammad Lutfi Othman; Hashim Hizam; Muhammad M. Othman; Elhad Akar E.; Okeke Chidiebere A.; Nwagbara Samuel O.
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: October 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i1.pp246-253

Abstract

The integration of Renewable Green Energy Sources (RGES) like Wind Farm Generators (WFG), and Photo Voltaic (PV) systems into convention power system as a future solution to the increase in global energy demands, generation cost reduction, and limited climate impact. The innovation introduced protection compromise challenges in power system due to in-feeds fault current penetration from RGES on existing system, leading to an undesired trip of the healthy section of TL, equipment damages, and safety failure. A comparison study of extracted faults signature from two proposed Transmission Line (TL) network topologies with and without WFG integration, for onward fault identification, and classification model design. Descrete wavelet multiresolution Analysis (DWMRA) of extracted one-cycle fault signal signatures from 11 faults type’s scenarios in Matlab. Result demonstrated a unique fault signatures across all simulated faults scenarios harness for future work of an adaptive unit protection model for this new area of DG integration.

Page 52 of 918 | Total Record : 9174

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