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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 63 Documents
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Search results for , issue "Vol 12, No 3: December 2018" : 63 Documents clear
Optimization Learning Vector Quantization Using Genetic Algorithm for Detection of Diabetics Inggih Permana; Nesdi Evrilyan Rozanda; Fadhilah Syafria; Febi Nur Salisah
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.pp1111-1116

Abstract

This study proposed the method to improve the result of Learning Vector Quantization (LVQ) by optimizing the weight vectors using a genetic algorithm (GA) to detect the diabetics. Initial value of individuals for GA is taken from weight vectors which come from the last m iterations of LVQ training result. The result of experiment showed that there is a significant increase in sensitivity level, however there is a significant decrease in specificity level. It means the proposed method success in improving the LVQ ability to recognized the diabetics, but it lowers the ability of LVQ to recognize the people unaffected by diabetes.This study proposed the method to improve the result of Learning Vector Quantization (LVQ) by optimizing the weight vectors using a genetic algorithm (GA) to detect the diabetics. Initial value of individuals for GA is taken from weight vectors which come from the last m iterations of LVQ training result. The result of experiment showed that there is a significant increase in sensitivity level, however there is a significant decrease in specificity level. It means the proposed method success in improving the LVQ ability to recognized the diabetics, but it lowers the ability of LVQ to recognize the people unaffected by diabetes.
Develop and Implementation of Solar Powered Ventilation System Hairol Nizam Mohd Shah; Zalina Kamis; Mohd Fairus Abdollah; Mohd Khairi Mohd Zambri; Faizil Wasbari; Nursabillilah Mohd Ali; Amirul Anwar Mat Shah
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.pp1211-1221

Abstract

A ventilation system comprising a ventilator or fan to inhale fresh air from environment surrounding enters the cabin of a car where at the same time exhale the hot air to the outside. This invention system is using solar power integrate with the ventilation system in order to stabilize the thermal condition inside the car during sunny day. The solar power is chosen as it is reasonable due to its limitless and environmental friendly source just like mentioned in the previous objective of the project. In addition, a rechargeable battery is used to power the ventilator in the absence of the alternative energy during cloudy day or has obstacle like being shaded by buildings, trees and others. It is just like an extra supply during emergency case. This may prevent the lack of power energy supply for the system. A heat sensor is used as to detect targeted (high temperature) and desired temperature (drop temperature) inside the car. It is operatively connected to a logic circuit to measure environmental factor, wherein the controller (PIC Microcontroller) utilizes the measured environmental condition to allow the power supply to activate or deactivate the ventilator.
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.
A Conceptual Model of Role Based Access Control Using Role Mining Algorithm Nazirah Abd Hamid; Rabiah Ahmad; Siti Rahayu Selamat
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.pp1394-1400

Abstract

Numerous studies have shown that currently, role-based access control has becoming one of the successful access control model because of its principle that could simplifies the work of security administrators. However, to construct a concise, role-based access control system, a good role mining algorithm structure is needed therefore the objectives of this paper are firstly, to provide a general overview on phases that involved in designing and developing the algorithm and secondly, to introduce a conceptual model that constructed based on the analysis and this model represents a general process in role mining model. This model involved series of phases that begin with the input of data, pre-processing stage, candidate role generation phase, role selection and role assignment process and lastly number of roles as generated output.
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.
An Efficient Framework to Improve QoS of CSP using Enhanced Minimal Resource Optimization based Scheduling Algorithm Ravi Mahadevan; Neelamegam Anbazhagan
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.pp1179-1186

Abstract

Online Nowadays, the enterprises & individuals are contributing their workloads on cloud service providers which are going to increase on daily basis. There are   large amount CSP are available to offer virtualized and dynamic resource on pay and use basis. However, there are almost CSP failed to maintain quality of service (QOS) and minimal resource optimization. Some of the existing approaches are highly dedicated on scheduling policy but, it does not considered reliable services with optimized QOS. To offer best solution of above problem, the framework proposes Enhanced Minimal Resource Optimization based Scheduling Algorithm to minimize the resources and maintain the QOS.  The method avoids delay in Request-Response model in cloud environment. To avoid overload for resource allocation, the proposed design utilized optimized scheduling policy.  Proposed mechanisms utilized optimized service brokering policy to reduce the delay response in cloud environment. The framework also help cloud user to prefer best CSP according to their prior services. The method offers rising trend of resource based structure to reduce the placement churn extensively. Proposed system utilized efficient scheduling policy to transmit data request to CSP with minimal data processing time. The entire utilization is to improve the QOS of cloud service provider in the features of multi-dimensional resource. Based on experimental evaluations, proposed technique improves the CPT (Computation Processing Time) 301.72 milliseconds, BU (Bandwidth Utilization) 20 Mbps, CPUU (CPU Utilization) 5% & MRU (Memory Resource Utilization) 3% on given input parameters compare than existing methodology.
Five-Level Single Source Voltage Converter Controlled Using Selective Harmonic Elimination Ibrahim Haruna Shanono; Nor Rul Hasma Abdullah; Aisha Muhammad
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.pp924-932

Abstract

The paper presents a 5-level cascaded H-bridge voltage source inverter. The converter topology composed of two-cascaded H-bridge modules connected in parallel and powered by a single DC source. The benefit of this topology in comparison with the conventional H-Bridge configuration is that it uses single input DC source instead of two to achieve the same output steps/levels. Selective Harmonic Elimination (SHE) is the modulation technique employed. The generated non-linear transcendental equations are solved using an optimised Genetic algorithms to find the switching angles. This property makes the topology and the control function suitable for three phase applications where triplen harmonics are said to cancel out at the line-to-line voltages. This concept of SHE modulation extends the value of the filter cut-off frequency, which translates to smaller sized filter, compact cooling system and reduced system weight. This advantage makes the topology attractive to automotive and renewable energy applications. The topology was simulated using PSIM software.
Metrics and Benchmarks for Empirical and Comprehension Focused Visualization Research in the Sales Domain Loo Yew Jie; Doris Hooi-Ten Wong; Zarina Mat Zain; Nilam Nur Amir Sjarif; Roslina Ibrahim; Nurazean Maarop
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.pp1340-1348

Abstract

Data visualization is an effort which aims to communicate data effectively and clearly to the audience through graphicalrepresentation. Data visualization efforts must be coordinated with an understanding into the Cognitive Learning Theory (CLT). In the sales domain, sales data visualization are made possible with the available Business Intelligence (BI) tools such as Microsoft Power BI, Tableau, Plotly, and others. These tools allow seamless interaction for the top management as well as the sales force with regard to the data. Sales data visualization comes with an array of advantages such as self-service analysis by business users, rapidly adapt to changing business conditions, and enable continuous on-demand reporting among others. The advantages of sales data visualization also comes with the challenges such as difficulty in identifying visual noise, high rate of image change, and high performance requirements. In an effort to reduce cognitive activity that does not enhance learning, sales visualization dashboard must be designed in a way that is neithertoo simplistic nor too complex to ensure that the Intrinsic Cognitive Load (ICL), Extrinsic Cognitive Load (ECL), and Germane Cognitive Load (GCL) are in sync with the audience. With the combination of sales data visualization and CLT, understanding complex sales details quickly is made possible by not only the top management of the organization, but also the sales force of the organization.
Transient Stability Improvement of the Power Systems Zaid H. Al-Tameemi; Hayder H. Enawi; Karrar M. Al-Anbary; Hussam M. Almukhtar
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.pp916-923

Abstract

During the last few decades, electrical power demand enlarged significantly whereas power production and transmission expansions has been brutally restricted as a result of restricted resources as well as ecological constrains. Consequently, many transmission lines have been profoundly loading so the stability of power system became as Limiting factor for transferring electrical power. So, maintaining a secure and stable operation of the electric power networks is deemed an imporatant and challenge issue.transient stability of a power system has been gained a considerable attention from researchers dute to it importance . Therefore,this paper sheds light on A substantial number of the adopted techniques, including an inclease in  inertia constant of generator, shunt capacitor, reduction reactance of the transmission line to acheive this purpose. A 7-Machine CIGRE system has been considered a case study. Matlab package has been employed to implement this study. The simulation results show that the transient stability of the repective system enhanced considerably with these techniques.
A Novel Multipath Routing Ring Protocol Adapted for WMSN Bennani Mohamed Taj; Mhamed M. Ait Kbir
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.pp1045-1053

Abstract

In this paper an enhanced protocol of multipath routing ring that is suitable for transferring images by making many upgrades. First, instead of using propagation between the layers, we use certain parameters such distance and delay to pick the next node of the lower layer. Then, we used an heterogeneous network, including sensors (capture and send images) and connectors (serve as a bridge to the sink). Finally, we used  the pyramid decomposition technique. To avoid congestion, we adjust  the number of levels based on the state of the network. To verify our protocol, we used Castalia simulator to simulate the real transmission conditions. Then, we compared it with GPSR protocol and the original Multipath routing ring protocol. Our proposed protocol proves its efficiency by transferring more images with better quality (PSNR) and consuming less energy compared to other protocols.

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