Bulletin of Electrical Engineering and Informatics
Bulletin of Electrical Engineering and Informatics ISSN: 2302-9285 is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication, computer engineering, computer science, information technology and informatics from the global world. The journal publishes original papers in the field of electrical (power), electronics, instrumentation & control, telecommunication and computer engineering; computer science; information technology and informatics. Authors must strictly follow the guide for authors. Please read these instructions carefully and follow them strictly. In this way you will help ensure that the review and publication of your paper is as efficient and quick as possible. The editors reserve the right to reject manuscripts that are not in accordance with these instructions.
Articles
539 Documents
<![CDATA[Extracting Double Diode Model Parameters Based on Cross Entropy Optimization Algorithm ]]>
<![CDATA[Latifa Sabri]]>;
<![CDATA[Mohammed Benzirar]]>;
<![CDATA[Mimoun Zazoui]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 5, No 4: December 2016 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v5i4.571
<![CDATA[A Cross Entropy (CE) optimization technique is suggested in this study in order to extract the optimal parameters of solar cell model. The solar cell model namely Double diode model, is used in this paper in the purpose to verify the proposed method. The seven unknown parameters of double diode model are: the photo-generated current, the diffusion current, saturation current, the series resistance, the shunt resistance, the diffusion ideality factor and recombination diode ideality factor. These parameters were used to determine the corresponding maximum power point (MPP) from the illuminated current–voltage (I–V) characteristic. The metaheuristic algorithms have created a center of attention due to the non-linearity of the solar cell models and the incapability of traditional optimization methods to precisely extract the parameters. Different cases and studies have been done to identify the unknown parameters of the solar cell double model. The efficiency of CE algorithm is investigated by comparing this method with various and different other techniques. This comparison is done using statistical indicators and analysis such as: mean absolute bias error, root mean square error and coefficient of determination. The results show that CE is a very efficient technique to identify the electrical parameters of the PV solar cells and modules.]]>
<![CDATA[DFPI-based Control of the DC-bus Voltage and the AC-side Current of a Shunt Active Power Filter ]]>
<![CDATA[Nabil Elhaj]]>;
<![CDATA[M. Brahim Sedra]]>;
<![CDATA[Hind Djeghloud]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 5, No 4: December 2016 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v5i4.572
<![CDATA[The current paper presents a continuation of an earlier research and purposes to enhance the performances of the studied system. While the double fuzzy PI (DFPI) control was applied only on the DC capacitor bus in a previous work it is applied here also on the output current of shunt active power filter (SAPF). The nonlinear load disrupts the electrical distribution system by the generation of harmonics, which requires an efficient SAPF intervention to minimize the effects of harmonics on the network and provide electrical energy conforms to international standards. The design and simulation of this work were performed under MATLAB/Simulink environment. The carried-out simulation results demonstrate a satisfactory regulation both for the output current of the SAPF and the DC bus voltage. Furthermore the power quality is improved since a near-unity power factor and very low rates of imbalance of both source voltages and currents are obtained.]]>
<![CDATA[Routing in Networks using Genetic Algorithm ]]>
<![CDATA[Meenakshi Moza]]>;
<![CDATA[Suresh Kumar]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 6, No 1: March 2017 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v6i1.574
<![CDATA[With the increase in traffic, internet service providers are trying their best to provide maximum utilization of resources available. The current traffic load has to be taken into account for computation of paths in routing protocols. Network applications; require the shortest paths to be used for communication purposes. Addressing the selection of path, from a known source to destination is the basic aim of this paper. This paper proposes a method of calculating the shortest path for a network using a combination of Open shortest path first and Genetic Algorithm (OSGA). Genetic Algorithm is used in this paper for optimization of routing. It helps in enhancing the performance of the routers.]]>
<![CDATA[Comparison of PID Controller with Model Predictive Controller for Milk Pasteurization Process ]]>
<![CDATA[Tesfaye Alamirew]]>;
<![CDATA[V. Balaji]]>;
<![CDATA[Nigus Gabbeye]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 6, No 1: March 2017 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v6i1.575
<![CDATA[Proportional–Integral–Derivative (PID) controllers are used in many of the Industries for various process control applications. PID controller yields a long settling time and overshoot which is not good for the process control applications. PID is not suitable for many of the complex process control applications. This research paper is about developing a better type of controller, known as MPC (Model Predictive Control). The aim of the paper is to design MPC and PID for a pasteurization process. In this manuscript comparison of PID controller with MPC is made and the responses are presented. MPC is an advanced control strategy that uses the internal dynamic model of the process and a history of past control moves and a combination of many different technologies to predict the future plant output. The dynamics of the pasteurization process was estimated by using system identification from the experimental data. The quality of different model structures was checked using best fit with data validation, residual and stability analysis. Auto-regressive with exogenous input (ARX322) model was chosen as a model structure of the pasteurization process and fits about 80.37% with datavalidation. MPC and PID control strategies were designed using ARX322 model structure. The controller performance was compared based on settling time, percent of overshoot and stability analysis and the results are presented.]]>
<![CDATA[Adaptive Fuzzy Gain of Power System Stabilizer to Improve the Global Stability ]]>
<![CDATA[Mohammed Mekhanet]]>;
<![CDATA[Lakhdar Mokrani]]>;
<![CDATA[Aissa Ameur]]>;
<![CDATA[Yacine Attia]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 5, No 4: December 2016 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v5i4.576
<![CDATA[The lead-lag power system stabilizer has several parameters to be optimized.In fact, the number of these latter increases with the number of generators constituting the multi-machine system.In this work, we propose anew approach of an adaptive and robust PSS; it achieves encouraging results by adjusting the gain using fuzzy logic and in the same time we use the same PSSs for each machine. In the first place, we could check that the gain is among the most critical parameters of the lead lag PSS. The parameters are globally optimized by the genetic algorithm, after that an expertise on the speed and the gain variations allow the value prediction according to the velocity deviation. To validate our results, a robustness test was made on a multimachine system IEEE (3 machines 9 bus), for different loads and the results showed good performance and robustness of the presented PSS.]]>
<![CDATA[Data Flow in Wireless Sensor Network Protocol Stack by using Bellman-Ford Routing Algorithm ]]>
<![CDATA[Rakesh Kumar Saini]]>;
<![CDATA[Ritika Ritika]]>;
<![CDATA[Sandip Vijay]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 6, No 1: March 2017 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v6i1.577
<![CDATA[Wireless sensor network consists various sensor nodes that are used to monitor any target area like forest fire detection by our army person and monitoring any industrial activity by industry manager. Wireless sensor networks have been deployed in several cities to monitor the concentration of dangerous gases for citizens. In wireless sensor network when sensor nodes communicate from each other then routing protocol are used for communication between protocol layers. Wireless sensor network protocol stack consist five layers such as Application layer, Transport layer, Network layer, MAC Layer, Physical layer. In this paper we study and analysis Bellman-Ford routing algorithm and check the flow of data between these protocol layers. For simulation purpose we are using Qualnet 5.0.2 simulator tool.]]>
<![CDATA[Z Source Inverter Topologies-A Survey ]]>
<![CDATA[V. Saravanan]]>;
<![CDATA[M. Aravindan]]>;
<![CDATA[V. Balaji]]>;
<![CDATA[M. Arumugam]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 6, No 1: March 2017 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v6i1.579
<![CDATA[Need for alternative energy sources to satisfy the rising demand in energy consumption elicited the research in the area of power converters/inverters. An increasing interest of using Z source inverter/converter in power generation involving renewable energy sources like wind and solar energy for both off grid and grid tied schemes were originated from 2003. This paper surveys the literature of Z source inverters/converter topologies that were developed over the years.]]>
<![CDATA[Performance of OFDM System under Different Fading Channels and Channel Coding ]]>
<![CDATA[Pratima Manhas]]>;
<![CDATA[M. K. Soni]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 6, No 1: March 2017 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v6i1.591
<![CDATA[Orthogonal frequency division multiplexing (OFDM) is a type 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.In a wireless communication channel, the transmitted signal can travel from transmitter to receiver over multiple reflective paths. This results to multipath fading which causes fluctuations in amplitude, phase and angle of arrival of the received signal. For example, the signal which is transmitted from BTS (base transceiver station) may suffer multiple reflections from the buildings nearby, before reaching the mobile station. Such multipath fading channels are classified into slow fading/fast fading and frequency-selective/flat fading channels. 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 under different fading channels (AWGN, Rayleigh and Rician) for different digital modulation (BPSK, QPSK and QAM) and Channel coding (linear/Cyclic coding). Matlab Simulink tool is used to calculate the BER parameter.]]>
<![CDATA[Circuits for Optical Based Line of Sight Voice Communication ]]>
<![CDATA[Devasis Haldar]]>;
<![CDATA[Shagun Panwar]]>;
<![CDATA[Vipul Kumar]]>;
<![CDATA[Ayush Goswami]]>;
<![CDATA[Sakshi Dhawan]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 6, No 1: March 2017 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v6i1.592
<![CDATA[We present here line of sight communication between a person and his neighbour with the help of optical signal produced by a laser torch which act as a carrier. It is therefore a wireless communication and the transmission can go up to 500 meters. We used photodiode to receive the signal at the receiver. The transmitter circuit comprises condenser microphone transistor amplifier BC547 followed by an op-amp stage built around µA741. When we give a voice signal from the mike, it converts the voice signal into the electrical signal. This electrical signal is fed to IC741 (op-amp) for amplification. The gain of the op-amp can be controlled with the help of 1-mega-ohm potentiometer. The AF output from IC is coupled to the base of a class B amplifier which, in turn, modulates the signal. The transmitter uses 5V power supply. However, the 3-volt laser torch (after removal of its battery) can be directly connected to the circuit-with the body of the torch connected to the class B. The photodiode converts the optical signal into electrical signal and again this signal is amplified using IC741 and a combination of class B push pull amplifiers. The receiver circuit uses an NPN photodiode as the light sensor that is followed by a two-stage transistor preamplifier and IC741 based audio Power amplifier. The receiver does not need any complicated alignment. Just keep the photodiode oriented towards the remote transmitter’s laser point and adjust the volume control for a clear sound. The sensor must not directly face the sun.]]>
<![CDATA[Review of Detection DDOS Attack Detection Using Naive Bayes Classifier for Network Forensics ]]>
<![CDATA[Abdul Fadlil]]>;
<![CDATA[Imam Riadi]]>;
<![CDATA[Sukma Aji]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 6, No 2: June 2017 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v6i2.605
<![CDATA[Distributed Denial of Service (DDoS) is a type of attack using the volume, intensity, and more costs mitigation to increase in this era. Attackers used many zombie computers to exhaust the resources available to a network, application or service so that authorize users cannot gain access or the network service is down, and it is a great loss for Internet users in computer networks affected by DDoS attacks. In the Network Forensic, a crime that occurs in the system network services can be sued in the court and the attackers will be punished in accordance with law. This research has the goal to develop a new approach to detect DDoS attacks based on network traffic activity were statistically analyzed using Naive Bayes method. Data were taken from the training and testing of network traffic in a core router in Master of Information Technology Research Laboratory University of Ahmad Dahlan Yogyakarta. The new approach in detecting DDoS attacks is expected to be a relation with Intrusion Detection System (IDS) to predict the existence of DDoS attacks.]]>
