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Attacks of Denial-of-Service on Networks Layer of OSI Model and Maintaining of Security
Azeem Mohammed Abdul;
Syed Umar
Indonesian Journal of Electrical Engineering and Computer Science Vol 5, No 1: January 2017
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v5.i1.pp181-186
The emergence of wireless sensor networks as one of the technology trends in the coming years, and some special tests of safety. The event will be thousands of tiny sensors that cheap devices, memory, radio and make, in most cases, no access to the production and energy. Some great challenges of sensor networks are different; we focus on security in the form of wireless sensor networks. To some network wireless sensor network in order to optimize use of the sensor, so that the network can be as long as possible. But the management of the important mission of the sensor network, denial of service (DoS) attacks against the destruction of the efficient use of network resources and the vital functions of the network. DoS attacks can be one of the greatest threats to security threats be considered. In fact, there are many different layers of the OSI-DOS.
Global Convergence of a New Coefficient Nonlinear Conjugate Gradient Method
Nur Syarafina Mohamed;
Mustafa Mamat;
Mohd Rivaie;
Shazlyn Milleana Shaharuddin
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v11.i3.pp1188-1193
Nonlinear conjugate gradient (CG) methods are widely used in optimization field due to its efficiency for solving a large scale unconstrained optimization problems. Many studies and modifications have been developed in order to improve the method. The method is known to possess sufficient descend condition and its global convergence properties under strong Wolfe-Powell search direction. In this paper, the new coefficient of CG method is presented. The global convergence and sufficient descend properties of the new coefficient are established by using strong Wolfe-Powell line search direction. Results show that the new coefficient is able to globally converge under certain assumptions and theories.
Decentralize power sharing control strategy in islanded microgridsDecentralize power sharing control strategy in islanded microgrids
Mubashir Hayat Khan;
Shamsul Aizam Zulkifli;
Erum Pathan;
Elhassan Garba;
Ronald Jackson;
Haider Arshad
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 2: November 2020
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v20.i2.pp752-760
Droop control technique is one of the renowned techniques which does not need any communication connection between distibuted generations (DG), hence the cost, as well as the reliability of the microgrid (MG) system can be reduced. MG is operated in two modes as their functionality and structure is concern. These are the grid connected or islanded (stand-alone) mode. DGs operating values may have different ratings of voltage, power and line impedance. The power sharing in these operatng conditions is not shared equally by all DGs connected in the system and also during load changes conditions power sharing accuracy is difficult to achieve. In this paper, a droop power control is used to balance the power sharing in islanded mode. As from the results, the active power sharing is equally shared from all DGs connected in the microgrid system. However, reactive power sharing accuracy always disturbed when there is impedance mismatch among the different DG feeders. The accuracy is done by monitoring the effects when load changes for low load to high load or vice versa. The proportional integral (PI) controller has been used to minimize the reactive power errors. At the end, the power droop is capable to share power accurately and results prove the stability and reliability of the proposed technique.
Performance of Parallel Computing in Bubble Sort Algorithm
Rihartanto Rihartanto;
Arief Susanto;
Ansar Rizal
Indonesian Journal of Electrical Engineering and Computer Science Vol 7, No 3: September 2017
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v7.i3.pp861-866
The performance of an algorithm can be improved by using a parallel computing programming approach. In this study, the performance of bubble sort algorithm on various computer specifications has been applied. Experimental results have shown that parallel computing programming can save significant time performance by 61%-65% compared to serial computing programming.
Extracting acoustic shadowing from ultrasound image using local difference
Hyun Jun Park;
Kwang Baek Kim
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 1: January 2019
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v13.i1.pp205-209
We propose a method for extracting acoustic shadowing from ultrasound image. If we locate the acoustic shadowing exactly then we can also extract the hyperechoic substances with a high probability. The proposed method reconstitutes an original ultrasound image to simplify calculations and uses the locally horizontal difference to extract shadow candidates. The shadow candidates are classified into start and finish point, and shadow regions are extracted by using them. The experiment results show the proposed method extracts 23 of 27 acoustic shadows from ultrasonogram efficiently and it can be used in wide applications.
Performance of Cuk-KY Converter Fed Multilevel Inverter for Hybrid Sources
V. Vasudevan;
K. Balaji
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 2: May 2018
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v10.i2.pp436-445
Distributed energy source based electricity generation is an essential factor for the economic growth and development of a country. The photovoltaic, fuel cell and battery based power generation offer a high voltage gain. The DC-DC CUK converter based on both buck and boost mode of operation is proposed for high gain dc link voltage. The hybrid CUK –KY Converter based multilevel inverter is designed and implemented. Here, the main advantages of hybrid boost mode operation of Cuk converter, step up configuration is used which will result in improve conversion voltage ratio and better damping of oscillations. The DC-DC converter voltage has regulated by the maximum power point tracking and PI control based method is used. The cascaded multilevel inverter in hybrid renewable energy production integrating with switched capacitor method is designed. The proposed converter is designed and implemented in MATLAB/SIMULINK environment.
Energy Efficient WSN by Optimizing the Packet Failure in Network
Madhu Patil;
Chirag Sharma
Indonesian Journal of Electrical Engineering and Computer Science Vol 7, No 2: August 2017
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v7.i2.pp415-425
Wireless sensor network (WSN) has attained enormous growth in recent times due to availability of tiny and low cost sensor devices. The sensor network is been adopted by various organization for various application services such environment monitoring, surveillance etc.. The WSN are powered by batteries and are deployed in non-rechargeable remote location. Preserving batteries of these devices is most desired. Many methodologies have been proposed in recent time to improve the lifespan of sensor network among them clustering technique is the most sorted out technique. The drawback of existing technique the cluster head energy degrades very fast due to long transmission which requires amplification as a result energy is lost to the node that is surrounding the cluster head. They did not consider the packet failure likelihood among inter and intra as a results there exist scheduling bottleneck and degrades the energy of sensor devices. To overcome this work present a packet failure estimation model and hop selection optimization model for inter cluster transmission. Experiments are conducted for lifetime efficiency for varied sensor devices for proposed and existing. The result shows that the proposed model performs better than existing in term of network lifetime and energy efficiency.
Impact of Inter-eNodeB Handover Pameters on Performance Optimization of LTE Networks
Mina Malekzadeh;
Fatemeh Rezaiee
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 1: January 2018
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v9.i1.pp212-220
Handover, as a resource consuming process, is an important issue in mobile communications which can highly affect the overall performance of the LTE networks. Since the handover process mainly relies on four main entry condition parameters, optimizing these parameters will in turn improve the handover process. In this work, we investigate the effectiveness of the four handover parameters by measuring the resulting downlink throughput and number of the required handovers. We furthermore determine the optimized values of the parameters through implementing different sets of experiments. Finally, by applying the obtained optimized parameters on two main LTE handover algorithms i.e. A3RSRP and A2A4RSRQ, their performance is compared regarding to different speeds of the mobile equipment. We determine how to accurately select the optimal settings for the parameters so that greater LTE performance can be achieved.
A symmetry based anomaly detection in brain using cellular automata for computer aided diagnosis
Nisha V M;
L Jeganathan
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 1: April 2019
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v14.i1.pp471-477
Computer aided diagnosis (CAD) is an advancing technology in medical imaging. CAD acts as an additional computing power for doctors to interpret the medical images which leads to a more accurate diagnosis of the disease.CAD system increases the chances of detection of brain lesions by assisting the physicians in decreasing the observational oversight in the early stage of diseases.This paper focuses on the development of a cellular automata based model to find the anomaly prone areas in human brains.Because of the bilateral symmetric nature of human brain, a symmetry based cellular automata model is proposed.An algorithm is designed based on the proposed model to detect the anomaly prone areas in brain images. The proposed model can be a standalone model or it can be incorporated to a sophisticated computer aided diagnosis system. By incorporating asymmetry information into a computer aided diagnosis system, enhances its performance in identifying the anomalies exists in bilaterally symmetrical brain images.
OFDM System Performance Evaluation under Different Fading Channels and Channel Coding using Matlab Simulink
Pratima Manhas;
M.K Soni
Indonesian Journal of Electrical Engineering and Computer Science Vol 5, No 2: February 2017
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v5.i2.pp260-266
Orthogonal Frequency Division Multiplexing (OFDM) is a form of Multicarrier Modulation (MCM) technique in which larger bandwidth is divided into parallel narrow bands each of which is modulated by different subcarriers. All the subcarriers are orthogonal to each other and hence it reduces the interference among various subcarriers. OFDM technique is an efficient modulation technique used in certain wired and wireless application. During transmission, the transmitted signal can travel from transmitter to receiver over multiple reflective paths in case of wireless communication system which results to multipath fading and produces variation in amplitude, phase and angle of the received signal. The signal which is transmitted from BTS (base transceiver station) may undergo multiple reflections from the buildings nearby, before reaching the mobile station. This paper discusses the performance of OFDM system using various fading channels and channel coding. The parameter which is known as Bit error rate (BER) is calculated for different fading channels (AWGN, Rayleigh and Rician) for different digital modulation (BPSK, QPSK and QAM) and Channel coding(linear/ Cyclic coding).The tool which is used to evaluate the BER parameter is Matlab Simulink.