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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 :
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Articles 9,199 Documents
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Smart grid in the context of industry 4.0: an overview of communications technologies and challenges Noor Ahmed Qarabash; Sana Sabah Sabry; Haneen Ahmed Qarabash
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 2: May 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i2.pp656-665

Abstract

The recent advances in technology, the increased dependence on electrical energy and the emergence of the fourth industrial revolution (Industry 4.0) were all factors in the increased need for smart, efficient and reliable energy systems. This introduced the concept of the Smart Grid (SG). A SG is a potential replacement for older power grids, capable of adapting and distributing energy based on demand. SG systems are complex. They combine various components and have high requirements for real time reliable operation. This paper attempts to provide an overview of SG systems, by outlining SG architecture and various components. It also introduces communication technologies, integration and network management tools that are involved in SG systems. In addition, the paper highlights challenges and issues that need to be addressed for a successful implementation of SG. Finally, we provide suggestions for future research directions. 
Modeling and Simulation for the Drivetrain of Reversal Stubble-breaking Rototiller Based on SolidWorks and ADAMS Li Chao Xu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Rototiller was one kind of agriculture machinery which was widely used in the countryside, and traditional corotation stubble-breaking rototillers exsisted the deficiencies in narrow work width, high energy-consumption, poor vegetation coverage and soil-breaking performance. Aiming at the shortage of traditional rototillers, a reversal stubble-breaking rototiller was designed in this paper. On the basis of expounding the structure and working principle of the rototiller drivetrain, the virtual prototype model of the rototiller transmission was established by using SolidWorks, and its movement simulation was made by applying ADAMS, the simulation results in different engine speed of 65.685rad/s and 98.99rad/s showed that the rotating direction of each gear was in accordance with the real situation, the maximum rotational speed error between the simulation and theoretic calculation of the transmission was 1.02%, and the established virtual prototype had higher precision, which provided a prerequisite for dynamics analysis and optimization design of the drivetrain of reversal stubble-breaking rototiller. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4677
A Typical Simulation of a 3-KW Stirling Engine Ding Guozhong; Yan Jiwei; Shu Shuiming; Duan Chen
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 6: October 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

Stirling engine is being received more and more attention with the development of renewable energy utility. The paper described the design and simulation of a 3-KW Stirling engine based on a testing V-type machine while in the process of manufactured at the Huazhong University of Science and Technology. The engine was driven by solar energy. Based on the testing machine, the heater model of variable heat source, regenerator model and complete appliance model were built, and the thermal performance was simulated and shown under a typical sunlight in the area of Wuhan. The results suggested that the output power curve of Stirling engine appeared as the shape of a saddle in consideration that the radiant energy density of solar energy was non-constant, and electrical heating was employed to serve as the auxiliary heat source. There was about 1.83 KW output work of the manufactured engine during the simulation, and the effective efficiency was about 25.4%. DOI: http://dx.doi.org/10.11591/telkomnika.v10i6.1405
The Modeling of SVC for the Voltage Control in Power System Nor Adni Binti Mat Le; W Mohd Nazmi bin W Musa; Nurlida binti Ismail; Nurul Huda binti Ishak; Nur Ashida binti Salim
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.pp513-519

Abstract

One of the major causes of voltage instability in power system is the reactive power limit. Therefore, this paper aims to analyze the effect of Static Var Compensator (SVC) on voltage stability of a power system. There are many ways to control the voltage, but in this paper only focus on the SVC and IEEE-9 buses. The SVC circuit and IEEE-9 buses were designed and modelled in Power World. The Newton Raphson method was applied to compute the load flow solution. Then, the reactive power (Q) was injected to SVC and the effect of SVC on IEEE 9-buses were studied. The analysis of voltage control was considered the conditions of fault occurred at the bus. The simulation results obtained in Power World demonstrate that the improvement voltage in the IEEE 9-buses when the Q was injected into SVC circuit. Besides, the QV curve was plotted to show the sensitivity and variation bus voltages with respect to the Q injection.
Integration of Linux Containers in OpenStack: An Introspection Ashish Lingayat; Ranjana R. Badre; Anil Kumar Gupta
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.pp1094-1105

Abstract

In cloud computing, sharing of resources is supported using heavy weighted traditional virtualization techniques. Such techniques involve hypervisors to emulate hardware for creating virtual machines. The inclusion of an additional layer of hypervisor over host operating system depreciates the performance of the virtual machine. Recent evolution is a lightweight alternative to the virtual machine called containers which have gainedpopularity among developers and administrators. Container Based virtualization has proven very efficient regarding performance, and many industries are now migrating their virtualized environment to run on Linux containers. Containers use host operating systems kernel and isolate each container by encapsulating them with their required services and packages. Linux kernel is very beneficial in implementing containers, which is the reason for the existence of Linux containers. Linux containers utilize less storage space and consume optimal computational power, giving a hike in performance. Having them integrated into the cloud surely benefits consumer and cloud provider. Many projects have extended their support in incorporating containers in the cloud. In this paper, we will discuss various Linux containers and their management tools along with cloud computing software, OpenStack, including projects undertaken by OpenStack for integrating containers in the cloud.
Power system restoration in distribution network using minimum spanning tree - Kruskal’s algorithm Hasmaini Mohamad; Wan Iqmal Faezy Wan Zalnidzham; Nur Ashida Salim; Shahrani Shahbudin; Zuhaila Mat Yasin
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.pp1-8

Abstract

Events such as natural and manmade interference, line, transformer and feeder outages that occur in electric power distribution system negatively impact the continuity of power supply, thus affecting the power demand supply as well as customer’s satisfaction. In that cases, the restoration of power needs to be carried out immediately in order to guarantee the system’s reliability. The power flow path identification is considered as a difficult task especially in a huge system due to large number of switches. Kruskal’s algorithm is presented in this paper to find the minimum power flow path in a power distribution network. The comparison of performance between presented Kruskal’s algorithm and Binary Particle Swarm Optimization (BPSO) was made in solving a problem regarding network reconfiguration. The proposed load restoration approach is tested on IEEE 33-bus single feeder radial distribution system using MATLAB software. From the results, it is found that the presented Kruskal’s algorithm was able to search for the minimal power flow path that contribute to loss reduction for power restoration after the occurrence of fault.
Wireless network Risk Assessment Model and Application JianGang Tang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 6: June 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Wireless network makes up the wired network shortcomings. With the popularity of the WiFi terminal, the security threats are constantly upgrading, and the security issues have been plaguing the legitimate user. In this paper we had analyzed the risks mechanism of WLAN for network resources, and designed an assessment model of security risk. When the incidents of network security which caused for vulnerability factors had been occurred, the model can be used to assess the consequences and impact on WLAN. The model achieves the network security early warning and control by scientific measurement and evaluation of the WLAN security risks. Wireless network security is not only with authentication, encryption, integrity testing and other technology-related, but also need intrusion detection systems, firewalls and other technology cooperation, so it’s a multi-layered problem. DOI: http://dx.doi.org/10.11591/telkomnika.v12i6.5446 
Fault Detection in Complex Distribution Network Based on Hilbert-Huang Transform Zhongjian Kang; Aina Tian; Yanyan Feng
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

Traditional distribution network fault location methods often cannot be effectively applied for the structure of the branch in complex distribution network. A new accurate fault location for the single-phase-ground fault in complex distribution network with structure of the branch based on Hilbert-Huang transform was proposed in this paper. First, the distribution network was modeled. The faults on each branch were simulated. The energy characteristics under the branch in a particular frequency band were identified by HHT. Then these energy characteristics were used to train artificial neural networks (ANN).When the energy characteristics of actual fault are inputted, the trained neural network can output the malfunction branch. When the fault branch was determined, using the online fault feature matching method, combined with the genetic algorithm, the precise determination of the distance to fault location in the fault branch can be completed. With combinations of signal processing-Hilbert-Huang transform, artificial neural network and genetic algorithm, the entirely new method was proposed to deal with the problem of fault location in distribution network in this article. The results showed that the method has a good precision and apply to the small current grounding system. DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2220
Neural soft computing based secured transmission of intraoral gingivitis image in e-health care Arindam Sarkar; Joydeep Dey; Minakshi Chatterjee; Anirban Bhowmik; Sunil Karforma
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 1: April 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i1.pp178-184

Abstract

 In this paper, a key based soft computing transmission of intraoral gingivitis image has been proposed without the exchange of common key in between the nodes. Gingivitis has been a type of periodontal disease caused due to bacterial colonization inside the mouth, having the early signs of gum bleeding and inflammations in human beings. In E-health care strata, online transmission of such intraoral images with secured encryption technique is needed. Session key based neural soft computing transmission by the dentists has been proposed in this paper with an eye to preserve patients’ confidentiality factor. To resist the data distortion by the eavesdroppers while on the transmission path, secured transmission in a group of tree parity machines was carried out. Topologically same tree parity machines with equal seed values were used by all users of that specified group. A common session key synchronization method was applied in that group. Intraoral image has been encrypted to generate multiple secret shares. Multiple secrets were transmitted to individual nodes in that group. The original gingivitis image can only be reconstructed upon the merging of threshold number of shares. Regression statistics along with ANOVA analysis were carried out on the result set obtained from the proposed technique. The outcomes of such tests were satisfactory for acceptance.
Classification of The NTEV Problems on The Commercial Building Mohd Abdul Talib Mat Yusoh; Saidatul Habsah Asman; Zuhaila Mat Yasin; Ahmad Farid Abidin
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 2: February 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i2.pp380-386

Abstract

Neutral to Earth Voltage (NTEV) is one of power quality (PQ) problems in the commercial building that need to be resolved.  The classification of the NTEV problems is a method to identify the source types of disturbance in alleviating the problems.  This paper presents the classification of NTEV source in the commercial building which is known as the harmonic, loose termination, and lightning.  The Euclidean, City block, and Chebyshev variables for K-Nearest Neighbor (K-NN) classifying are being utilized in order to identify the best performance for classifying the NTEV problems.  Then, S-Transform (ST) is applied as a pre-processing signal to extract the desired features of NTEV problem for classifier input.  Furthermore, the performance of K-NN variables is validated by using the confusion matrix and linear regression.  The classification results show that all the K-NN variables capable to identify the NTEV problems. While the K-NN results show that the Euclidean and City block variables are well performed rather than the Chebyshev variable.  However, the Chebyshev variable is still reliable as the confusion matrix shows minor misclassification. Then, the linear regression outperformed the percentage close to a perfect value which is hundred percent.

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