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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 19 Documents
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Search results for , issue "Vol 4, No 4: August 2014" : 19 Documents clear
Capacitive Interferences Modeling and Optimization between HV Power Lines and Aerial Pipelines Rabah Djekidel; Djillali Mahi
International Journal of Electrical and Computer Engineering (IJECE) Vol 4, No 4: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (216.042 KB)

Abstract

Metal pipelines are widely used for the transport of fluids and liquid and gaseous hydrocarbons. When these pipelines are installed near overhead power transmission lines, AC interference can occur between the high voltage power lines and pipelines. This interference can cause the appearance of induced voltages that present a risk of electric shock to the operator safety, direct effects on the pipeline, such as corrosion of the coating and steel. Evaluation of this coupling is necessary to ensure the safety of personnel and equipment connected to the pipeline. In this paper, an optimization method combining PSO with CSM is proposed to simulate the capacitive coupling between the HV power lines and aerial pipelines and analyze the different factors that affect the level of this coupling, the simulation results were compared with a previous study of specialty, the results are found in good agreement.DOI:http://dx.doi.org/10.11591/ijece.v4i4.6289
Video Summarization Based on a Fuzzy Based Incremental Clustering Monireh Pournazari; Fariborz Mahmoudi; Amir Masoud Eftekhari Moghadam
International Journal of Electrical and Computer Engineering (IJECE) Vol 4, No 4: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1245.107 KB)

Abstract

The significant development of multimedia and dijital video production in recent years has led to the mass production of personal and commerical video archives.Therefore, the need for efficient tools and methods of accessing video content and information rapidly is significantly increasing. Video summarization is the removal of visual redundancy and repetitive video frames,and obtaining a short summary of the whole video so that the summary obtained effectively reflects the whole video content. Examples of these summarizations in recent years include STIMO and VSUMM.According to users' comments, in the mentioned methods, the summarization has a high rate of error in a full report of summarization and a low accuracy in non-repetitive frames production, as well as a high computation time.In this paper.in order to solve these problems,we developed a system which modeled users' and supervisors' comments.We used a fuzzy based incremental clustering by which the selection and deselection of frames are done based on fuzzy rules. The extracted rules were determined based on users' comments on the video summarization.Finally, we performed our proposed method on the video clips used in the previous methodes.Produced summaries were evaluated by a qualitative method to minimize human interferences.The results obtained indicate the high accuracy of summarization and the less computation time.DOI:http://dx.doi.org/10.11591/ijece.v4i4.5836
ANFIS Based Approach to Estimate Remnant Life of Power Transformer by Predicting Furan Contents Priyesh Kumar Pandey; Zakir Husain; R K Jarial
International Journal of Electrical and Computer Engineering (IJECE) Vol 4, No 4: August 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Condition monitoring and diagnostic playing important role in estimating remnant Life of power transformer. Concentration of furan content in transformer oil can be a promising factor for indirect measurement of the aging of transformer insulation. The oil gets contaminated mainly due to prolonged operation and ageing. The present research paper introduces Adaptive Neuro Fuzzy inference system (ANFIS) technique to correlate furanic compounds obtained by High Performance Liquid Chromatography (HPLC) test to remnant life of the power transformer. The results are obtained by conducting HPLC test at TIFAC-CORE lab, NIT Hamirpur on thirteen samples of Power transformer oil taken from Himachal State Electricity Board Ltd, Shimla (India).DOI:http://dx.doi.org/10.11591/ijece.v4i4.5567
A CMOS-based Analog Function Generator: HSPICE Modeling and Simulation Madina Hamiane
International Journal of Electrical and Computer Engineering (IJECE) Vol 4, No 4: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (243.914 KB)

Abstract

In many Engineering applications, analog circuits present many advantagesover their digital counterparts and have recently been particularly used in awide range of signal processor circuits. In this paper, an analog non-linearfunction synthesizer is presented based on a polynomial expansion model.The proposed function synthesizer model is based on a 10th orderpolynomial approximation of any of the required non-linear functions. Thepolynomial approximations of these functions can then be implemented usingbasic CMOS circuit blocks. The proposed circuit model can simultaneouslysynthesize and generate many different mathematical functions. The circuitmodel is designed and simulated with HSPICE and its performance isdemonstrated through the simulation of a number of non-linear functions.DOI:http://dx.doi.org/10.11591/ijece.v4i4.5981
An Adaptive Steganography Scheme Based on Visual Quality and Embedding Capacity Improvement Mojtaba Bahmanzadegan Jahromi; Karim Faez
International Journal of Electrical and Computer Engineering (IJECE) Vol 4, No 4: August 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

In this paper, a steganography technique using LSB substitution and PVD method is presented as an adaptive scheme in the spatial domain. Our method partitions the grayscale image into several non-overlapping blocks with three consecutive pixels. The embedding algorithm can both replace the secret data with the LSBs of the middle pixel and embed it in the difference values between the middle pixel and its two neighboring pixels of the cover-block. The number of secret bits is determined adaptively based on the range divisions for embedding in the difference value. We define a new range division on gray level which takes into account a larger embedding capacity for bits. After the embedding, the proposed method detects the pixels which are sensitive to hyper distortion. Then, the embedding process will be repeated to produce insignificant visual distortion in those pixels. Our experimental results demonstrate that this iterative steganography scheme prevents significant visual distortion into stego-image. The generated PSNR values are higher than the corresponding values of the most commonly used methods, discussed in this study. Furthermore, the experimental results show that the hiding capacity increased enormously when the proposed range division is used. Finally, we illustrate that the method can pass RS and steganalysis detector attacks.DOI:http://dx.doi.org/10.11591/ijece.v4i4.6307
Determination of Volume of Capacitor Bank for Static VAR Compensator Md. Ruhul Amin; Rajib Baran Roy
International Journal of Electrical and Computer Engineering (IJECE) Vol 4, No 4: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (237.023 KB)

Abstract

In high voltage AC system, the system voltage and frequency change rapidly with the variation of load. The reactive power also changes with the variation of load which affects the system voltage therefore it is necessary to analyze the power system in order to determine system parameters and its variation under various load conditions. The capacitor bank size is determined by calculating existing reactive power and required reactive power in system for Static VAR Compensator (SVC) is focused in this paper. Base case load flow is used to analysis power system. After identifying low voltage buses, arbitrary caciptor back is imposed in bueses and results are checked whether it is met or not in the system demand level. Here MATLAB coding is used to find the low voltage affected bus and automated calculation of capacitor back size is done by MATLAB also. The proposed method of identification of low voltage buses and determination of capacitor bank are faster and easier than the conventional method.DOI:http://dx.doi.org/10.11591/ijece.v4i4.5803
A Novel Retinal Blood Vessel Segmentation Algorithm using Fuzzy segmentation Razieh Akhavan; Karim Faez
International Journal of Electrical and Computer Engineering (IJECE) Vol 4, No 4: August 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Assessment of blood vessels in retinal images is an important factor for many medical disorders. The changes in the retinal vessels due to the pathologies can be easily identified by segmenting the retinal vessels. Segmentation of retinal vessels is done to identify the early diagnosis of the disease like glaucoma, diabetic retinopathy, macular degeneration, hypertensive retinopathy and arteriosclerosis. In this paper, we propose an automatic blood vessel segmentation method. The proposed algorithm starts with the extraction of blood vessel centerline pixels. The final segmentation is obtained using an iterative region growing method that merges the binary images resulting from centerline detection part with the image resulting from fuzzy vessel segmentation part. In this proposed algorithm, the blood vessel is enhanced using modified morphological operations and the salt and pepper noises are removed from retinal images using Adaptive Fuzzy Switching Median filter. This method is applied on two publicly available databases, the DRIVE and the STARE and the experimental results obtained by using green channel images have been presented and compared with recently published methods. The results demonstrate that our algorithm is very effective method to detect retinal blood vessels.DOI:http://dx.doi.org/10.11591/ijece.v4i4.6253
Minimum Eigenvalue Detection for Spectrum Sensing in Cognitive Radio Syed Sajjad Ali; Chang Liu; Minglu Jin
International Journal of Electrical and Computer Engineering (IJECE) Vol 4, No 4: August 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Spectrum sensing is a key task for cognitive radio. Our motivation is to increase the probability of detection for spectrum sensing in cognitive radio. In this paper, we proposed a new semi blind method which is based on minimum Eigenvalue of a covariance matrix. The ratio of the minimum eigenvalue to noise power is used as the test statistic. The method does not need channel and signal information as prior knowledge. Eigenvalue based algorithm perform better than energy detection for correlated signal. Our proposed method is better than the maximum eigenvalue and energy detection for correlated signal. We perform Simulation which is based on digital TV signal. In all tests, our method performs better than maximum eigenvalue detection and energy detection.DOI:http://dx.doi.org/10.11591/ijece.v4i4.6226
Strategies for FPGA Implementation of Non-Restoring Square Root Algorithm Tole Sutikno; Aiman Zakwan Jidin; Auzani Jidin; Nik Rumzi Nik Idris
International Journal of Electrical and Computer Engineering (IJECE) Vol 4, No 4: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (94.039 KB)

Abstract

This paper presents three strategies to implement non restoring square root algorithm based on FPGA. A new basic building block is called controlled subtract-multiplex (CSM) is introduced in first strategy which use gate level abstraction. The main principle of the method is similar with conventional non-restoring algorithm, but it only uses subtract operation and append 01, while add operation and append 11 is not used. Second strategy presents the first strategy in register transfer level (RTL) abstraction. In third strategy, a modification for the implementation of conventional non-restoring algorithm is presented which also use RTL abstraction. The all above strategies is implemented in VHDL programming and adopt fully pipelined architecture. The strategies have conducted to implement successfully in FPGA hardware, and each of the strategies is offer an efficient in hardware resource. In generally, the third strategy is superior.DOI:http://dx.doi.org/10.11591/ijece.v4i4.6008

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