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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
 548   549   550   551   552 
Optimization of energy consumption and thermal comfort for intelligent building management system using genetic algorithm Subhi Aswad Mohammed; Osama Ali Awad; Abdulkareem Merhej Radhi
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 3: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i3.pp1613-1625

Abstract

This paper presents a design, simulation and performance evaluation of an optimized model for the heating, ventilation and air-conditioning (HVAC) systems using intelligent control algorithm. Fanger’s comfort method and genetic algorithms were used to obtain the optimal and initial values. The heat transmission coefficient between internal and external environments were determined depending on several inputs and factors acquired via supervisory control and data acquisition (SCADA) system sensors. The main feature of the real-time model is the prediction of the internal buildings environment, in order to control HVAC system for indoor environment and to utilize the optimum power consumed depending on optimized air temperature value. The predicted air temperature value and predictive mean vote (PMV) value was applied using intelligent algorithm to obtain an optimal comfort level of the air temperature. The optimized air temperature value can be used in HVAC system controller to ensure that the temperature of indoor can reach a specific value after a known period of time. The use of genetic algorithm (GE) ensures that the used power is well below its peak value and maintains the comfort of the user’s environment.
A fuzzy-PID controller in shell and tube heat exchanger simulation modeled for temperature control C. Somasundar Reddy; K. Balaji
Indonesian Journal of Electrical Engineering and Computer Science Vol 21, No 3: March 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v21.i3.pp1364-1371

Abstract

Shell and tube heat exchanger is the most generally utilized types of heat exchanger for heat transfer in many industrial purposes. Shell and tube heat exchanger comprises a set of unit. One unit includes mechanical parts and another unit consists of controlling part. Both the unit has to be modelled to ensure the efficient operation of shell and tube heat exchanger. The mechanical modelling is completely established on the type of applications. The controller modelling is independent of the kind of applications. The controller only needs the input fluid and output fluid properties such as temperature and flow rate.  Hence the primary objective of the paper is to focus on the controller part for enhancing the heat exchanger performance. This paper proposes the novel fuzzy-PID controlling technique based on the multiplication operation to make the settling time and overshoot of setpoint temperature to be less to a greater extent and the results are compared with the conventional PI method with various tuning algorithms.
Optimized formation control of multi-agent system using PSO algorithm Ahmed M. Hasan; Safanah M. Raafat
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 3: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i3.pp1591-1600

Abstract

Formation Control (FC) is an important application for Multi-agent Systems (MASs) in coordinated control and especially for Unmanned Aerial Vehicle (UAV) which are widely used nowadays in military and civil sections. FC is mostly applied in conjunction with consensus algorithm. In this paper, a framework for an implementation of consensus FC that involves the decentralized type of network control is considered in order to achieve  formation keeping, where the control of each vehicle is calculated dependent upon locally existed facts. The dynamic behavior of each vehicle agent is governed by its second-order dynamic model, and the networked mobile vehicle system is modeled by a directed graph. Then, particle swarm optimization (PSO) is implemented for speeding up the convergence to the desired geometrical shape. Acceleration of the network while approaching the coveted shape is achieved and omissions of undesired swing that transpires through the acceleration is examined. The merits and effectiveness of the applied approach are demonstrated using two different examples.
A robust watermarking algorithm for medical images Ahmed Nagm; Mohammed Safy
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 3: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i3.pp1601-1612

Abstract

Integrated healthcare systems require the transmission of medical images between medical centres. The presence of watermarks in such images has become important for patient privacy protection. However, some important issues should be considered while watermarking an image. Among these issues, the watermark should be robust against attacks and does not affect the quality of the image. In this paper, a watermarking approach employing a robust dynamic secret code is proposed. This approach is to process every pixel of the digital image and not only the pixels of the regions of non-interest at the same time it preserves the image details. The performance of the proposed approach is evaluated using several performance measures such as the mean square error (MSE), the mean absolute error (MAE), the peak signal to noise ratio (PSNR), the universal image quality index (UIQI) and the structural similarity index (SSIM). The proposed approach has been tested and shown robustness in detecting the intentional attacks that change image, specifically the most important diagnostic information.
Hydrogen electrified railways based shunt hybrid filter Ibtissam Bessadet; Hamza Tédjini; Ismail Khalil Bousserhane
Indonesian Journal of Electrical Engineering and Computer Science Vol 21, No 3: March 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v21.i3.pp1291-1298

Abstract

This paper presents a proposal to keep the conventional railway system, by creating a secure external independent hydrogen station, with the integration of a parallel hybrid filter to isolate the propagation of harmonics, and the reduction of the current ripple. In modern applicactions hydrogen stations are one of the most important sources of sustainable energy; this has been considered one of the most significant sources of energy, as it has no pollution output. Most current research proposes to integrate the fuel cell into the railway, and this will make it face higher risks such as accidents and vibrations as well as the approach of the storage a system to different people. We research any aspect of the proposed method and we demonstrate the ffect of shunt hybrid filter (SHPF) uses in stopping the propagation of the harmonics to the hydrogen side.
A beamforming study of the linear antenna array using grey wolf optimization algorithm Asma Issa Mohsin; Asaad S. Daghal; Adheed Hasan Sallomi
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 3: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i3.pp1538-1546

Abstract

The grey wolf optimization (GWO) algorithm is considered an inspired meta-heuristic algorithm, which inspired by the social hierarchy and hunting behavior of the grey wolves. GWO has a high-performance capability of solving constrained, as well as unconstrained optimization problems. In this paper, the beamforming of smart antennas in a code division multiple access system based on the GWO algorithm is investigated. The sidelobe level (SLL) is minimized along with peak sidelobe level reduction, as well as an optimal beam pattern has been accomplished by using GWO to uniform linear antenna arrays. In this work, an amplitude is introduced as constant, while the interspacing distance between antenna array elements and the number of elements in a linear array are variables. The simulation results show that a faster convergence and likely high accurate beamforming are gained using GWO based method. Finally, it is shown that the GWO outperforms the genetic algorithm (GA) based method.
New voltage and temperature scalable gate delay model applied to a 14nm technology Kenza Charafeddine; Faissal Ouardi
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 3: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i3.pp1210-1220

Abstract

The following work shows an innovative approach to model the timing of standard cells. By using mathematical models instead of the classical SPICE-based characterization, a high amount of CPU (Central Processing Unit) cores is saved and less amount of data is stored. In the present work, characterization of cells of a standard cell library is done in an hour whereas it is done in 650 hours with the classical method. Also, a method for validating and verification of the precision of the modelled data is resented by comparing them on a implemented circuit. The output of implementations shows less than 3% of error between the two methods.
Performance evaluation of two models in the reactive routing protocol in manets Muthanna Jaafar Abbas; Haider Mohammed Turki Alhilfi; Tole Sutikno
Indonesian Journal of Electrical Engineering and Computer Science Vol 21, No 1: January 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v21.i1.pp391-397

Abstract

Due to the need for the multicast connection required by multimedia applications such as video conferencing and natural disaster management, it was necessary to use a set of portable and connected wireless peripheral devices without the need for infrastructure and without a central router, by use wireless network as "a mobile ad hoc network (MANET) " Despite the difficulties facing this technology in the process of effective guidance and the expansion of the use of such networks, in this type of network because of its applications in the fields of civil and military systems that do not need an infrastructure for the network to provide communication, the researchers specialized in this field have improved the current routing protocols and design new protocols that are appropriate to the challenges that Routing protocols face due to continuous change In network topology over time. In this paper we improved the current routing protocols and design new protocols that are appropriate to the challenges that Routing protocols face due to continuous change In network topology over time. The NS2 simulation environment was used for the purpose of a comprehensive evaluation of the performance of the TORA and AODV routing protocols By using properties of packet delivery fraction and end-to-end delay was calculated.
Numerous speeds-loads controller for DC-shunt motor based on PID controller with on-line parameters tuning supported by genetic algorithm Mazin Abdulelah Alawan; Oday Jasim Mohammed Al-Furaiji
Indonesian Journal of Electrical Engineering and Computer Science Vol 21, No 1: January 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v21.i1.pp64-73

Abstract

Direct-current (DC) motor is a commonly used motor; its speed is directly affected by applying mechanical load. This paper proposes the design of wide speed-load range controller for a direct-current (DC) shunt motor based on proportional–integral–derivative (PID controller) with genetic system for controller parameters adjusting. The genetic based PID controller is simulated by using Matlab software package and tested with different sudden load values and different working speeds. A present control loop contains the suggested PID controller also Pulse-Width-Modulation PWM generator and H-bridge inverter. With the genetic system enhancement to parameters of developed PID controller, the results demonstration that this controller has great impact to preserve the profiles of the motor speed and produced torque after applied sudden load, and its intensification the motor performance at different speed and load conditions.
A multi-objective optimization based model for the deployment of reclosers and remote-controlled switches using NSGA2 and entropy weighted TOPSIS method Anass Lekbich; Abdelaziz Belfqih; Tayeb Ouaderhman; Chaimae Zedak; Jamal Boukherouaa; Faissal El Mariami
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 3: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i3.pp1128-1139

Abstract

Since they are fast, remote controlled, automated and intelligent, reclosers and switches are an inevitable solution for improving the reliability of intelligent electrical distribution networks at optimal cost. However, their location and coordination have great effects on the protection and automation strategies of complex electrical distribution networks against multiple unpredictable faults. Which requires a flexible and multi-criteria optimization method. In this article, we propose a multi-objective method based on an analytical model by considering the fault rate, restoration times, outage cost and coordination between devices. The non-dominated genetic sorting algorithm II was proposed to obtain the optimal Pareto solutions, and a technique of performance control by similarity with the ideal solution was used to classify them. The objective criteria weights are based on the entropy method which allows solutions to be obtained and better classified with the minimum of subjectivity. The IEEE33 and IEEE13 bus test networks were used to verify the method. The results obtained are compared to a binary multi-objective particle swarm optimization method and the results show that the proposed method reduces the overall costs, reduces the undelivered energy of the system and improves the reliability of the service.

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