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International Journal of Electrical and Computer Engineering
Published by Institute of Advanced Engineering and Science
ISSN : 20888708     EISSN : 27222578     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
International Journal of Electrical and Computer Engineering (IJECE, ISSN: 2088-8708, a SCOPUS indexed Journal, SNIP: 1.001; SJR: 0.296; CiteScore: 0.99; SJR & CiteScore Q2 on both of the Electrical & Electronics Engineering, and Computer Science) is the official publication of the Institute of Advanced Engineering and Science (IAES). The journal 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.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 18 Documents
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Search results for , issue "Vol 3, No 3: June 2013" : 18 Documents clear
Curvelet Transform based Retinal Image Analysis Renoh C Johnson; Veena Paul; Naveen N; Padmagireesan S J
International Journal of Electrical and Computer Engineering (IJECE) Vol 3, No 3: June 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (319.614 KB)

Abstract

Edge detection is an important assignment in image processing, as it is used as a primary tool for pattern  recognition, image segmentation and scene analysis.  An edge detector is a high-pass filter that can be applied for extracting the edge points within an image. Edge detection in the spatial domain is  accomplished through convolution with a set of directional derivative masks in this domain. On the other hand, working in the  frequency domain has many advantages, starting from introducing an alternative description to the  spatial representation and providing more efficient and faster computational schemes with less sensitivity  to noise through high filtering, de-noising and compression algorithms. Fourier transforms, wavelet and  curvelet transform are among the most widely used frequency-domain edge detection from satellite  images. However, the Fourier transform is global and poorly adapted to local singularities. Some of  these draw backs are solved by the wavelet transforms especially for singularities detection and  computation. In this paper, the relatively new multi-resolution technique, curvelet transform, is assessed  and introduced to overcome the wavelet transform limitation in directionality and scaling.  In this research paper, the assessment of second generation curvelet transforms as an edge detection tool  will be introduced and compared with first generation cuevelet transform.DOI:http://dx.doi.org/10.11591/ijece.v3i3.2451
Nondestructive Determination Of Beans Water Absorption Capacity Using CFA Images Analysis For Hard-To-Cook Evaluation Boukar Ousman; Laurent Bitjokaa; Gamraïkréo Djaowéa
International Journal of Electrical and Computer Engineering (IJECE) Vol 3, No 3: June 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (529.068 KB) | DOI: 10.11591/ijece.v3i3.pp317-328

Abstract

Hard to cook (HTC) phenomenon is developed by storing bean grains under the adverse conditions of high temperature (≥ 25 °C ) and high humidity (≥ 65 %).  Bean grains that have undergone this HTC phenomenon are characterized by loss of color lightness, development of  browning and darkening,  and decrease of Water Absorption Capacity (WAC). The objective of this study was to develop a CFA (Color Filter Array) image processing system to measure Water Absorption Capacity (WAC) of bean grains with high precision in short time intervals (10 min). The relationships between the CFA image features, extracted from raw images captured by CCD (charge coupled device) camera, and the measured WAC were established. The calibration models using multiple linear regression (MLR) were developed to predict WAC. The MLR models for prediction samples resulted in correlation coefficient (R2) in the range of 0.811 to 0.947, standard error of prediction (SEP) in the range of 7.587 to 11.669, and Fisher variable value (F)  in the range of 52.300 to 221.690. Results indicate that computer vision system (CVS) based on CFA image analysis technique can provide an accurate, reliable and nondestructive measurement method of WAC to evaluate the hard to cook defect in bean grains.DOI:http://dx.doi.org/10.11591/ijece.v3i2.2149
Different Proposed Models to Mapping MDA to RUP Mehdi Yaghoubi; Mahmood Yaghoubi; Manoocher Babanezhad
International Journal of Electrical and Computer Engineering (IJECE) Vol 3, No 3: June 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (252.276 KB)

Abstract

Reducing of the production expenses and preventing software intricacies is one of the software engineering aims. So, many method and methodology such as object-oriented, component-oriented, aspect-oriented, and service-oriented are preferred for developing software engineering. Model driven development is one of the methodologies that had considered recently and is growing rapidly .modeling the program logic and then changing model to a practicable code by some tool automatically will be the aim of the model driven development. In this paper we investigate some model driven methodology and also we’ll preferred MDA mapping to RUP.DOI:http://dx.doi.org/10.11591/ijece.v3i3.2240
Adaptive Relaying of Radial Distribution System with Distributed Generation Murali Matcha; Sharath Kumar Papani; Vijetha Killamsetti
International Journal of Electrical and Computer Engineering (IJECE) Vol 3, No 3: June 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (285.254 KB)

Abstract

In this paper, the effect of DG penetration on the short circuit level has been studied in a distribution system.  The number of DG sources is increased to study the effect that these changes may have on the coordination of protective directional over-current relays (DOCR). The relays in the distribution system have to be coordinated so as to avoid mal-operation and unnecessary outage of healthy part of the system.  Results are compared to that of the normal case to investigate the impact of the DG on the short circuit currents of the network to deduce the effect on protective devices and some conclusions are documented. This paper presents the short circuit analysis of single phase to ground fault applied to simple radial distribution system and the corresponding Overcurrent relay coordination is presented using NEPLAN Software. Results obtained are verified by manual calculation.DOI:http://dx.doi.org/10.11591/ijece.v3i3.2578
Radio Frequency Propagation Mechanisms and Empirical Models for Hilly Areas Famoriji John O; Olasoji Yekeen O
International Journal of Electrical and Computer Engineering (IJECE) Vol 3, No 3: June 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (302.227 KB)

Abstract

Achieving better network performance is a paramount concern in wireless networks. This paper provides a survey of the basic mechanisms which influence the propagation of electromagnetic waves in hilly areas. Three empirical models: COST231-Hata, Okumura-Hata and Egli which are suitable for path loss prediction for such area are presented. By using these propagation models the broadcast signal strength are predicted for this type of environment. Measurement results of signal strength in UHF band obtained in Idanre Town of Ondo State Nigeria are presented and compared with the results predicted by using the propagation models. A modified COST231-Hata radiowave propagation model was developed and implemented with Matlab GUI (Graphical User Interface) for simulation. The model developed has 93.8% accuracy.DOI:http://dx.doi.org/10.11591/ijece.v3i3.2519
Goal-based hybrid filtering for user-to-user Personalized Recommendation Muhammad Waseem Chughtai; Ali Bin Selamat; Imran Ghani
International Journal of Electrical and Computer Engineering (IJECE) Vol 3, No 3: June 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (199.516 KB)

Abstract

Recommendation systems are gaining great importance with e-Learning and multimedia on the internet. It fails in some situations such as new-user profile (cold-start) issue. To overcome this issue, we propose a novel goalbased hybrid approach for user-to-user personalized similarity recommendation and present its performance accuracy. This work also helps to improve collaborative filtering using k-nearest neighbor as neighborhood collaborative filtering (NCF) and content-based filtering as content-based collaborative filtering (CBCF). The purpose of combining k-nn with recommendation approaches is to increase the relevant recommendation accuracy and decrease the new-user profile (cold-start) issue. The proposed goal-based approach associated with nearest neighbors, compare personalized profile preferences and get the similarities between users. The paper discussed research architecture, working of proposed goal-based approach, its experimental steps and initial results.DOI:http://dx.doi.org/10.11591/ijece.v3i3.2419
Investigation of electricity production feasibility in Tabriz using biomass resources Mahin Tahmasebpour; Abdollah Jafarian
International Journal of Electrical and Computer Engineering (IJECE) Vol 3, No 3: June 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (83.094 KB)

Abstract

In this research, the feasibility of biogas production using biomass in collected wastes is studied. In this paper, first the different methods of recycling energy and for most used algorithms are studied. Second, by analyzing daily collected wastes and considering the realistic obtained data from leachate of Tabriz waste landfills, the average amount of Chemical Oxygen Demand (COD) and Biochemical Oxygen Demand (BOD) are obtained. Then, an appropriate scenario is presented to get the maximum reachable biogas. Also, an economic model taking into account the effect of main variables of preparations such as the cost of waste transport vehicles, capacity of the purchased devices, special costs of biomass and distributed density are considered and the best and most economical method is utilized based on generated gas volume in biomass power plants. Finally, the shortterm and long-term models are presented for power generation and investment using biogas. The proposed method is applied for the wastes of Tabriz City, as one of the largest industrial metropolitan in Iran, with a daily waste more than 1200 tons.DOI:http://dx.doi.org/10.11591/ijece.v3i3.2622
Predictive Power Control of Grid and Rotor Side converters in Doubly Fed Induction Generators Based Wind Turbine Abdelmalek Boulahia; Mehdi Adel; Benalla Hocine
International Journal of Electrical and Computer Engineering (IJECE) Vol 3, No 3: June 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (176.102 KB)

Abstract

This paper presents a new control scheme for grid and rotor side for doubly fed induction generator (DFIG) using model based predictive control. The control strategy minimizes quality functions, which represent the desired behavior of the converter. The technique developed uses predictive direct power control to control the rotor and grid side converter. The main advantages of this method are no need of linear controllers, coordinates transformations or modulators for converter and inverter. Simulation results demonstrate robust, precise, and fast dynamic behavior of system.DOI:http://dx.doi.org/10.11591/ijece.v3i3.3474
Solving Economic Dispatch Problem with Valve-Point Effect using a Modified ABC Algorithm Hardiansyah Hardiansyah
International Journal of Electrical and Computer Engineering (IJECE) Vol 3, No 3: June 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (161.49 KB)

Abstract

This paper presents a new approach for solving economic dispatch (ED) problem with valve-point effect using a modified artificial bee colony (MABC) algorithm. Artificial bee colony algorithm is a recent population-based optimization method which has been successfully used in many complex problems. This paper proposes a novel best mechanism algorithm based on a modified ABC algorithm, in which a new mutation strategy inspired from the differential evolution (DE) is introduced in order to improve the exploitation process. To demonstrate the effectiveness of the proposed method, the numerical studies have been performed for two different sample systems. The results of the proposed method are compared with other techniques reported in recent literature. The results clearly show that the proposed MABC algorithm outperforms other state-of-the-art algorithms in solving ED problem with the valve-point effect.DOI:http://dx.doi.org/10.11591/ijece.v3i3.2518
Voltage Profile Improvement of Distribution System using Distributed Generating Units Gummadi Srinivasa Rao; Y.P Obulesh
International Journal of Electrical and Computer Engineering (IJECE) Vol 3, No 3: June 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (129.556 KB)

Abstract

The power system utilities are increasing everyday,to enhance the distribution power quality and maintains the voltage stability is a challenging tasks in the complex distribution This can be achieved through the Distributed Generation (DG).DGs are the final link between the high voltage transmission and the consumers,it is also known as Active Distribution networks(ADN).This will effectively improve the acive power loss reduction This paper represents technique to minimize power losses in a distribution feeder by optimizing DG model in terms of size, location and operating point of DG. Sensitivity analysis for power losses in terms of DG size and DG operating point has been performed. The proposed sensitivity indices can indicate the changes in power losses with respect to DG current injection. The proposed technique has been developed with considering load characteristics and representing constant current model. The effectiveness of the proposed technique is tested and verified using MATLAB software on long radial distribution system.DOI:http://dx.doi.org/10.11591/ijece.v3i3.2133

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