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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 88 Documents
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Search results for , issue "Vol 12, No 8: August 2014" : 88 Documents clear
A Complete Combinatorial Solution for a Coins Change Puzzle and Its Computer Implementation Daxin Zhu; Xiaodong Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp6338-6345

Abstract

In this paper, we study a combinatorial problem encountered in monetary systems. The problem concerned is to find an optimal solution R(k; n) of a combinatorial problem for some positive integers k and n. To the authors' knowledge, there is no eficient solutions for this problem in the literatures so far. We first show how to find an eficient recursive construction algorithm based on the backtracking search strategy. Furthermore, we can give an explicit formula for finding the maximal elements of the solution. Our new techniques have improved the time complexities of the search algorithm dramatically.
PLC SCADA Based Fault Identification and Protection for Three Phase Induction Motor Venkatesan Loganathan; S. Kanagavalli; P.R. Aarthi; K.S. Yamuna
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp5766-5773

Abstract

Today overvoltage, over current, overload, over temperature, and under voltage are the most commonly occurred problems in protection circuits of induction motor. We usually design Protection circuits with components such as timers, contactors and current relays. In order to reduce the mechanical components usage we prefer to use Personal Computer (PC) and Programmable Logic Controller (PLC). In this method Induction motors current, voltage, Speed, temperature values and fault occurred history are monitored in PC with an Alarm Message during fault occurrence. PLC-based protection methods are costs less, provides higher accuracy with safe mode of operation when compared with the other protection systems.
Estimation of Voltage Sag Loss Based on Blind Number Theory Fan Li-Guo; Zhang Yan-Xia
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp5932-5937

Abstract

Serious power quality issues and huge economic loss can be caused by voltage sag. It’s helpful for grid corporation to estimate voltage sag loss. Voltage sag and influence of sensitive equipment are analyzed in the paper. An estimation method of voltage sag loss based on blind number theory is proposed, which takes the sag magnitude and duration as its main characteristic parameters. First euclid distance and relative close degree between the sag magnitude and duration of voltage sag samples and threshold values is calculated based on TOPSIS. According to relative similarity degree，probable value, credibility and mean value of voltage sag loss are then calculated and influence of uncertainty factor can be considered. Example analysis shows that loss estimation method is a feasible and applicable for most sensitive equipments.
Embedded System Application for Blind People Navigation Tool Wakhyu Dwiono; Siska Novita Posma; Arif Gunawan
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp6083-6087

Abstract

The stick for blindman navigational aid can only provide information about the presence of objects that being touched. This navigational aid stick can not provide more information such as object distance and the name of the place. To overcome this problem, we realized a navigational tool that can provide information about the distance of objects around the user and the name of the places where being passed. The existing objects are detected using three sets of ultra sonic sensors. These sensors emit ultrasonic signals, when the signal collide the obstacle, then will be reflected back and being received by these sensors too. The time lag between the transmitting and receiving signals then will be converted into the distance. RFID reader is used to read the presence or absence of tags around the RFID reader. Identity tag emits a signal that will be used to mark the place name. The results of measuring distance and sequence voice database recorder gives a good yield. Voice database recorder circuit works as well as the detection of RFID tags.
A Novel Approach for Tumor Detection in Mammography Images Elahe Chaghari; Abbas Karimi
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp6211-6216

Abstract

Breast cancer is one of the major causes of death among women in recent decades. Screening mammography is currently the best available radiological technique for early detection of breast cancer. In recent years, several methods have been used for automated tumor detection in mammography images. In some methods, due to a variety of processing and multiple operations on images, there are many computational complexities and much time overhead. In other methods the recognition accuracy is relatively low. In this paper, a new method to detect cancerous lesions in mammography images is presented using cellular learning automata algorithm. Cellular learning automata algorithm is well suited for image processing, because it is cellular and belongs pixels like an image. Distributed performance and parallel processing properties of this method has optimal results in image processing. Experimental results show the effectiveness of the proposed method.
Peak Power Reduction Using Improved Selective Mapping Technique for OFDM Muhmmad Rizwan Anjum; Mussa A. Dida; M. A. Shaheen
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp6291-6296

Abstract

OFDM has Major disadvantage is that  it leads to high Peak to Average Power Ratio (PAPR) which is consider to be as the main implementation drawback.  In this paper we are discussing about PAPR which affects the performance and efficiency of Power Amplifier (PA) and its influence by utilizing the Selective Mapping (SLM) technique in OFDM system for reduction of PAPR. the idea for improved SLM produces several independent signals based on converting the original data lock into many independent signal and then the signal has lowest PAPR that specific signal is  transmitted. Also data rate trade-off exist at the receiver end  when side information is detected for the  recovery of data block. which leads to the reduction of data rate. Improved SLM techniques for reducing the PAPR is the most promising reduction technique in its non-uniform phase factor for PAPR reduction in multicarrier OFDM system. Furthermore the estimate  expression by using Complementary Cumulative Distribution Function (CCDF) for PAPR has been discussed. Simulated results demonstrate that OFDMA signals using improved SLM technique carried significant effects in reduction of PAPR in OFDM system.
Downscaling Modeling Using Support Vector Regression for Rainfall Prediction Sanusi Sanusi; Agus Buono; Imas S Sitanggang; Akhmad Faqih
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp6423-6430

Abstract

Statistical downscaling is an effort to link global scale to local scale variable. It uses GCM model which usually used as a prime instrument in learning system of various climate. The purpose of this study is as a SD model by using SVR in order to predict the rainfall in dry season; a case study at Indramayu. Through the model of SD, SVR is created with linear kernel and RBF kernel. The results showed that the GCM models can be used to predict rainfall in the dry season. The best SVR model is obtained at Cikedung rain station in a linear kernel function with correlation 0.744 and RMSE 23.937, while the minimum prediction result is gained at Cidempet rain station with correlation 0.401 and RMSE 36.964. This accuracy is still not high, the selection of parameter values for each kernel function need to be done with other optimization techniques.
Harmonic Reduction in Variable Frequency Drives Using Active Power Filter M. Tamilvani; K. Nithya; M. Srinivasan
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp5758-5765

Abstract

In this paper Voltage Source Inverter (VSI) is used to supply a variable frequency variable voltage to a three phase induction motor drive in a variable speed application. One important complication is that, Voltage Source Inverter (VSI) used in VFD causes non-sinusoidal output voltage and current due to presence of harmonics. Shunt active filter with VSI topology is proposed for current harmonic elimination. The current control scheme proposed for SAPF is Synchronous Reference Frame theory applied to SVPWM. The reference current can be calculated by using Reference Frame Transformation, reference current are transformed from a−b−c stationary frame to d−q rotating frame. In SVPWM technique, the Active Power Filter reference voltage is generated and desired Active Power Filter output voltage is generated by SVPWM. The analysis of simulation results are carried out in MATLAB/SIMULINK model.
Comprehensive Evaluation to Distribution Network Planning Schemes Using Principal Component Analysis Method Wang Ruilian; Gao Shengjian
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp5897-5904

Abstract

Aiming to the complexity of vibration fault cause, the great many of fault parameters in hydroelectric generating set, and the superiority of grey relation analysis for its no strict requirement to fault sample capacity and regularity, the weighted grey relation model is built to look for the vibration fault type. The fuzzy matrix's transformation arithmetic is used to obtain the weight vectors of the grey relation coefficient, thus the weighted coefficient is the weighted grey relation model. The relation coefficient between reference sequence and compare sequence in vibration fault sample is provided by synthetic arithmetic of fuzzy weight to diagnose the vibration fault type. The grey relation coefficient weighted by fuzzy synthetic arithmetic, which is not only made the established weight be a scientific basis, but also can “sensitive” highlight the vibration fault type of hydroelectric generating set. Thus the problem of looking for every fault types is better resolved. By analyzing the practical example, it proved that the weighted grey relation model in the paper can effectively diagnose the vibration fault type of hydroelectric generating set and it has definite applicability.
Design of Temperature Measurement and Data Acquisition System based on Virtual Instrument LabVIEW Xingju Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp6027-6035

Abstract

The LabVIEW virtual instrument consists of three parts: data acquisition, data test and analysis, output display. System control part is realized on the LabVIEW platform, data collection, data processing, and data recording, alarm and historical data readback function. The system uses DSl8B20 to measure temperature. The paper present design of temperature measurement and data acquisition system based on virtual instrument LabVIEW. Finally, this paper realizes the temperature acquisition and detection system, which is a new type of intelligent. System hardware circuit design is using digital temperature sensor DS18B20, and experiments show that the proposed method has a good effect.

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