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Bulletin of Electrical Engineering and Informatics

EEI
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Published by Universitas Ahmad Dahlan

ISSN : - EISSN : - DOI : -

Core Subject : Engineering,

Electrical & Electronics Engineering

Bulletin of Electrical Engineering and Informatics (Buletin Teknik Elektro dan Informatika) ISSN: 2089-3191, e-ISSN: 2302-9285 is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication and computer engineering from the global world. The journal publishes original papers in the field of electrical, computer and informatics engineering.

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Articles 2,901 Documents

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Development of vocabulary learning application by using machine learning technique Noor Mohd Ariff Brahin; Haslinah Mohd Nasir; Aiman Zakwan Jidin; Mohd Faizal Zulkifli; Tole Sutikno
Bulletin of Electrical Engineering and Informatics Vol 9, No 1: February 2020
Publisher : Institute of Advanced Engineering and Science

Nowadays an educational mobile application has been widely accepted and opened new windows of opportunity to explore. With its flexibility and practicality, the mobile application can promote learning through playing with an interactive environment especially to the children. This paper describes the development of mobile learning to help children above 4 years old in learning English and Arabic language in a playful and fun way. The application is developed with a combination of Android Studio and the machine learning technique, TensorFlow object detection API in order to predict the output result. Developed application namely “LearnWithIman” has successfully been implemented and the results show the prediction of application is accurate based on the captured image with the list item. The inclusion of the user database for lesson tracking and new lesson will be added for improvement in the future.

Notice of Retraction: Experimental simulation analysis for single phase transformer tests Ali N. Hamoodi; Bashar A. Hammad; Fawaz S. Abdullah
Bulletin of Electrical Engineering and Informatics Vol 9, No 3: June 2020
Publisher : Institute of Advanced Engineering and Science

Notice of Retraction-----------------------------------------------------------------------This article has been retracted by the publisher.After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IAES's Publication Principles.We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.The presenting author of this paper has the option to appeal this decision by contacting info@iaesjournal.com.-----------------------------------------------------------------------Transformer is one of main components in electrical power system which role to increase or reduce voltage. Characteristics of transformer would be vital to ensure the voltage is fully transferred. A single-phase transformer is a type of power transformer that utilizes single-phase alternating current, meaning the transformer relies on a voltage cycle that operates in a unified time phase. This article describes a workflow executed with Mat lab simulation and practical measurements for single-phase power transformer, no-load, short-circuit test and load test are achieved in this work. The test procedures are implemented on areal transformer (terco-type) which has a specification (1 KVA, 220/110 V, 50 Hz). Finally, the simulation results are appeared a proximately seminar from the practical results. The results indicated that the the technique and manner which presented in the current study can be depended as a miniproject in electrical technology mater for undergraduate studies.

Review of Leaf Unhealthy Region Detection Using Image Processing Techniques S. A. Dhole; Rukaiyya Pyarelal Shaikh
Bulletin of Electrical Engineering and Informatics Vol 5, No 4: December 2016
Publisher : Institute of Advanced Engineering and Science

Abstract- In agricultural field the plants comes to an attack from the various pets bacterial and micro-organism diseases. This diseases attacks on the plant leaves, steams, and fruit part. This present review paper discussed the image processing techniques which is used in performing the early detection of plant diseases through leaf feature inspection. the basic objective of this work is to develop image analysis and classification techniques for extraction and finally classified the diseases present on leaf. Image of leaf is captured and the process is performed and to determine the status of each plant. Here proposed model divide into four parts. The image preprocessing including normalization and contrast adjustment; segment the region of interest determine by using color transform YCbCr and bi-level thresholding for statistical usage to determine the defect and severity area of plant leaves. The texture feature extraction using statistical GLCM (Gray Level Co-occurrences Matrix) and color feature by means values.[1] Finally classification achieved using random markov model.

Reliabilty and Cost Benefit Analysis of DG Integrated Distribution System Ch.V.S.S. Sailaja; P.V.N. Prasad
Bulletin of Electrical Engineering and Informatics Vol 5, No 4: December 2016
Publisher : Institute of Advanced Engineering and Science

Integration of Distributed generation (DG) results in a number of advantages ranging from reduction in losses to delayed generation and transmission capacities. In this paper the impact of DGs on reliability is considered and their effect on reliability in terms of number and location is evaluated. The integration of DG changes configuration of the radial system. This point is considered for evaluating the load point indices. The cost effectiveness of number of DGs is evaluated for the determining the returns on the DG investment cost. The above analysis is carried out on a RBTS Bus 2 system. The reliability indices are calculated using FMEA technique.

Secure Routing Protocol for Integrated UMTS and WLAN Ad Hoc Networks Shashank Tripathi; A. K. Jain
Bulletin of Electrical Engineering and Informatics Vol 5, No 4: December 2016
Publisher : Institute of Advanced Engineering and Science

The integrated UMTS and WLAN ad hoc networks are getting more and more popular as they hold substantial advantages by next generation networks. We introduce a new secure, robust routing protocol specifically designed for next generation technologies and evaluated its performance. The design of the SNAuth_SPERIPv2 secure routing protocol takes advantage to the integrated network, maintaining Quality of Service (QoS) under Wormhole Attack (WHA). This paper compares performance of newly developed secure routing protocol with other security schemes for CBR video streaming service under WHA.

Modeling of Power Losses Caused by Hidden Tree-Related High Impedance Faults Nooshin Bahador; A.H. Lotfi
Bulletin of Electrical Engineering and Informatics Vol 5, No 4: December 2016
Publisher : Institute of Advanced Engineering and Science

The great majority of overhead distribution systems in urban and rural areas of countries such as Australia, Iran and etc., are in interfering with vegetation. This phenomena leads to high impedance faults (HIFs) which not produce enough fault current to be detectable and consequently causes electrical energy losses. In this paper, according to experimental data obtained from measurements, the effective factors in power losses caused by trees are studied and a new numerical model of power loss is presented so as to reflect the effects of environmental conditions and biological classification. The base of this method is according to Samuelson theory. In proposed algorithm, the impacts of species, short-term environmental conditions (temperature and humidity) and long-term environmental conditions (Seasonal variations in physiology) on the power loss estimation are fully considered. Experimental investigations on a real low voltage (380 V) and medium voltage (20 kV) distribution network verify the algorithm’s operation.

Dual Axis Solar Tracking System for Solar Panel Purnima Singh; Roop Pahuja; Meghavi Karwasra; Sunita Beniwal; Meenakshi Bansal; Anamika Dadhich
Bulletin of Electrical Engineering and Informatics Vol 5, No 4: December 2016
Publisher : Institute of Advanced Engineering and Science

Sustainable energy systems are necessary for the economic growth and a healthy environment. India is currently suffering from an economic slump and acute fuel shortage. To overcome these issues the use of renewable energy resources needs to be enhanced manifold. The main purpose of this paper is to present a tracking system which will cause better alignment of solar panel with sunlight and to harvest solar power. The proposed system changes its direction in two axis to trace the coordinate of sunlight by detecting change in light intensity through light dependent resistors. Hardware testing of the proposed system is done for checking the system ability to track and follow the sunlight in an efficient way. Dual axis solar tracking system superiority over stationary solar panel is also presented.

A Improved Particle Swarm Optimization Algorithm with Dynamic Acceleration Coefficients Gang Ma; Renbin Gong; Qun Li; Gang Yao
Bulletin of Electrical Engineering and Informatics Vol 5, No 4: December 2016
Publisher : Institute of Advanced Engineering and Science

Particle swarm optimization (PSO) is one of the famous heuristic methods. However, this method may suffer to trap at local minima especially for multimodal problem. This paper proposes a modified particle swarm optimization with dynamic acceleration coefficients (ACPSO). To efficiently control the local search and convergence to the global optimum solution, dynamic acceleration coefficients are introduced to PSO. To improve the solution quality and robustness of PSO algorithm, a new best mutation method is proposed to enhance the diversity of particle swarm and avoid premature convergence. The effectiveness of ACPSO algorithm is tested on different benchmarks. Simulation results found that the proposed ACPSO algorithm has good solution quality and more robust than other methods reported in previous work.

Extracting Double Diode Model Parameters Based on Cross Entropy Optimization Algorithm Latifa Sabri; Mohammed Benzirar; Mimoun Zazoui
Bulletin of Electrical Engineering and Informatics Vol 5, No 4: December 2016
Publisher : Institute of Advanced Engineering and Science

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.

DFPI-based Control of the DC-bus Voltage and the AC-side Current of a Shunt Active Power Filter Nabil Elhaj; M. Brahim Sedra; Hind Djeghloud
Bulletin of Electrical Engineering and Informatics Vol 5, No 4: December 2016
Publisher : Institute of Advanced Engineering and Science

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.

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