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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 23 Documents
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Search results for , issue "Vol 14, No 1: April 2015" : 23 Documents clear
Forecasting of Utility Cost in a Deregulated Electricity Market by Using Locational Marginal Pricing T. Mohanapriya; T.R. Manikandan; T. Venkatesan
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 1: April 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

In the deregulated electricity market bidding contest is the major operation. Prices obtained from the result of bidding strategy is essential, since all market participants do not be familiar with the accurate assessment of future prices in their decision-making process. Locational Marginal Pricing obtains from the Optimal Power Flow problem gives the economic value of electrical energy at each location. Proposed method is based on lossless DC Optimal Power Flow. To solve this LMP problem optimization based Linear Programming (LP) approach has been implemented. In this paper LMP values with transmission, line outage and generator outage constraints are studied. DOI: http://dx.doi.org/10.11591/telkomnika.v14i1.7713
Near Optimal Convergence of Back-Propagation Method using Harmony Search Algorithm Abdirashid Salad Nur; Nor Haizan Mohd Radzi; Siti Mariyam Shamsuddin
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 1: April 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

Training Artificial Neural Networks (ANNs) is of great significanceand a difficult task in the field of supervised learning as its performance depends on underlying training algorithm as well as the achievement of the training process. In this paper, three training algorithms namely Back-Propagation Algorithm, Harmony Search Algorithm (HSA) and hybrid BP and HSA called BPHSA are employed for the supervised training of Multi-Layer Perceptron feed  forward type of Neural Networks (NNs)  by giving special attention to hybrid BPHSA. A suitable structure for data representation of NNs is implemented to BPHSA-MLP, HSA-MLP and BP-MLP. The proposed method is empirically tested and verified using five benchmark classification problemswhich are Iris, Glass, Cancer, Wine and Thyroid dataset on training NNs. The MSE, training time, and classification accuracy of hybrid BPHSA are compared with the standard BP and meta-heuristic HSA. The experiments showed that proposed method has better results in terms of convergence error and classification accuracy compared to BP-MLP and HSA-MLPmaking the BPHSA-MLPa promising algorithm for neural network training. DOI: http://dx.doi.org/10.11591/telkomnika.v14i1.7233
Investigation of Neem Fatty Acid Ethyl Ester for Electric Power Generation G. Vijaya Gowri; N. Kanagaraj; C. Muniraj
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 1: April 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

This paper presents biodiesel as an emerging renewable energy source which could meet substantially the very large growing electric energy demand maintaining the ecological balance. Biodiesel is a sustainable energy source which makes the environment out of pollution. The simplest process for biodiesel production called transesterification was carried out to produce biodiesel from neem oil. The output parameters such as speed, voltage, current and power are of the alternator are analysed for different loads using pure diesel, different biodiesel-diesel blends (80% biodiesel & 20% diesel, 60% biodiesel  & 40% diesel, 40% biodiesel & 60% diesel, 20% biodiesel  & 80% diesel) to an I.C engine. Results show that 20% biodiesel & 80% diesel blend (B20) produces the output with better efficiency. DOI: http://dx.doi.org/10.11591/telkomnika.v14i1.6978 
Evaluation of Moving Object Detection Methods based on General Purpose Single Board Computer Agung Nugroho Jati; Ledya Novamizanti; Mirsa Bayu Prasetyo; Andy Ruhendy Putra
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 1: April 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

RGA and SKDA are two different methods which can be used to detect the object in image based processing. In order to support the moving surveillance camera system which proposed in Telkom University, RGA and SKDA have tested to be reviewed which more reliable to be implemented in a single board computer. In this paper, will be discussed about implementation and testing of two different methods of object detection using backgrounds subtraction. For implementation, each of them will be combined with Extended Kalman Filter in a Raspberry Pi. The parameter which have tested are memory and CPU usage, and system utilization.   The result shows that RGA is more reliable than SKDA to implemented in SBC because of less CPU usage and system utilization. DOI: http://dx.doi.org/10.11591/telkomnika.v14i1.7257
Study in Step by Step Electric Energy Meter Connection Detection Method Qing Zhiming; Fu Wang; Fei Wenli
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 1: April 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

Electric energy meter wiring error variety, detection method and circuit can only detect some kinds of wrong wiring at present, as the current transformer and current detection unit terminal short-circuit characteristics of conventional methods in existence, not take out stitches under the premise of not achieving detection. Based on this, this paper puts forward a step detection method, detection circuit of voltage and current lines one by one through right off and polarity of current, gradually show every junction point junction and the fault point. Through the Multisim software simulation, and developed a set of wire detecting device, simulation and experimental results prove that the method is correct. Compared with conventional methods, can be more comprehensive and faster connection detection fault location. DOI: http://dx.doi.org/10.11591/telkomnika.v14i1.7662 
Building Integrated Photovoltaic is a Cost Effective and Environmental friendly Solution M T ripathy; P K Sadhu
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 1: April 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

Building integrated photovoltaic (BIPV) market is under developing stage with a relatively low number of installations worldwide. However, integrating photovoltaic technology into buildings is straight forward as no additional space is required and building materials are simply replaced by PV modules. Although BIPV is considered a promising technology, especially where land for large-scale PV plants is rare, several factors continue to constrain its wide-spread adoption BIPV thus promises to become an attractive alternative for both end users and for national policy makers. In this paper we analyse the investment of BIPV, benefits of BIPV power system and cost of BIPV power system. DOI: http://dx.doi.org/10.11591/telkomnika.v14i1.7729 
An Efficient Converging Snake Algorithm for Locating Object Boundaries Atiqur Rahman; Rashed Mustafa
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 1: April 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

Active contour are now established as a technique for extracting salient contours from an image. A snake is an active contour for representing object contour. Traditional snake algorithms are often used to represent the contour of a single object. A different contour search algorithm is presented in this paper that provides an efficient convergence to the object contours than both the kass et al and greedy snake algorithm (GSA).Our proposed algorithm provides a straightforward approach for snake contour rapid splitting and connection, which usually cannot be gracefully handle by traditional snakes. This  algorithm compares with other two conventional approaches is faster according to needed execution time. This paper tells us which one is better by comparing each other. The experimental results of various test sequence images with a single object shown good performance, which proved that the proposed algorithm is faster among those. DOI: http://dx.doi.org/10.11591/telkomnika.v14i1.7467
Detection of Power Quality Disturbances in Micro Grid Connected Power System Priyadharshini K.M; S. Srinivasan; C. Srinivasan
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 1: April 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

Micro Grid is a contracted distributed AC or DC network. Micro Grid resources are connected to the distributed linear as well as nonlinear loads through power electronics converter to provide an efficient, more reliable and quality power to the distributed loads with reduced co2 emission. Consequently makes full use of low cost generation resources and reduce waste. Interconnected Mode in the MG is connected to main grid either being absorbed by it or injecting some amount of power into the main system. Islanding Mode in the MG operates separately when upstream volt occurs in main grid network. Usage of power electronic interface converters, Integration of the renewable-resources based MG system to the main power system and nonlinear loads results in harmonics generation clutter the system reliability and other associated quality issues. Most of demanding users of electricity are suffering to a certain poor quality of electrical power. The excellent time-scaling resolution characteristic of WT used for detection of various power quality disturbances of integrating and islanding Micro Grid connected Distributed Generation systems. The WT plays important role in analysis, design and classification of discrete signal processing. The accuracy and reliability of classification techniques have assessed on signals contaminated with noise. DOI:  http://dx.doi.org/10.11591/telkomnika.v14i1.7232 
Hardware Implementation of FIR Neural Network for Applications in Time Series Data Prediction Kuldeep S. Rawat; G.H. Massiha
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 1: April 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

Time series data prediction is used in several applications in the area of science and engineering. Time series prediction models have been implemented using statistical approaches, but recently, neural networks are being applied for times series prediction due to their inherent properties and capabilities. A variation of a standard neural network called as finite impulse response (FIR) neural network has proven to be highly successful in achieving higher degree of prediction accuracy when used over various time series prediction applications. These applications are time critical and involve huge amounts of computation that are slower when run on a general purpose processor and hence, a dedicated hardware is required. In this paper, authors present hardware implementation of an FIR neural network for applications in times series data prediction. The implementation is divided into (i) off-board, where the training algorithm and neural network configuration is implemented in Matrix Laboratory (MATLAB) and simulated with various benchmark time series data set and (ii) on-board, where the entire system is modeled in a hardware description language (HDL). The simulation experiment, hardware building blocks, the implementation framework, and the hardware design flow are discussed in this paper. The hardware resource utilization and timing information are also reported in the paper. DOI: http://dx.doi.org/10.11591/telkomnika.v14i1.7272 
A New Approach of Localized Human Blood Reheating Using High Frequency Converter Pradip Kumar Sadhu; Palash Pal; Animesh Halder; Ankur Ganguly; Nitai Pal; Prabir Bhowmik
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 1: April 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

The paper presents the human blood reheating technique for medical purposes with high frequency induction heating system. The temperature is analyzed to determine the heat distribution in different positions of human blood within the non metallic tank. In the proposed induction heating system, the inductive applicator is a primary working coil of the modified half bridge high frequency inverter and the RBCs within the blood will be working as secondary element. The simulation shows that the heating area can be effectively controlled by using the cylindrical shield with adjustable space. However, the efficiency of heat can be increased by varying the radius size of cylinder thereby more flux appears and more eddy emf is induced. Hence the resulting eddy current increases the refrigerated blood of range 1ºC- 6ºC to 37ºC. DOI: http://dx.doi.org/10.11591/telkomnika.v14i1.7262

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