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24,092 Article Results

An Improved Medical DR Image Enhancement Method

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3312
Bi Juntao
As a result of noise interference, improper exposure and thick human tissue, detail information of DR image will be buried, including unclear edge and contrast reduction. This paper proposes a medical DR image enhancement processing based on artificial fish-swarm algorithm. According to DR image contour model and DR image boundary, the enhancement processing segment DR image by artificial fish-swarm clustering method, then enhance DR classification image through adding GAG operator. Simulation results show that the method can effectively eliminate noise in DR image, and the detail information of enhanced DR image is clearer than before meanwhile with high effectiveness and robustness. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4305
Volume: 12
Issue: 4
Page: 2718-2723
Publish at: 2014-04-01

Dynamic Data Grid Replication Algorithm Based on Weight and Cost of Replica

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3329
Zhongping Zhang , Chao Zhang , Mengfei Zuo , Zhiping Wang
Data Grid is composed of a large number of distributed computation and storage resources to facilitate the management of the huge distributed and sharing data resources efficiently. Dynamic replication can reduce the file storage time and use the grid resources effectively in a Data Grid environment. The Data Grid topology is divided into three layers: Regional level, LAN level, the grid site level. We have improved DHRA algorithm in three areas: replica selection, replica placement, replica replacement. Considering the weight and cost of replica, we propose dynamic Data Grid replication algorithm LWLC Based on Weight and Cost of Replica. At last, we use the OptorSim to prove the effectiveness of the LWLC . DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4737
Volume: 12
Issue: 4
Page: 2860-2867
Publish at: 2014-04-01

Reliability and Cost Model of P.M. in A Component of an Electrical Distribution System Considering Ageing Mechanism

https://ijece.iaescore.com/index.php/IJECE/article/view/5560
Saeed Afshar , M Fotuhi Firuzabad
Application of Reliability Centered Maintenance (RCM) in a system results in a decrease in component failure rates and as such improvement in the system reliability. One of the major subjects of the RCM is focused on the Online and Offline Preventive Maintenance (OPM and FPM which together will be denoted by OFPM) of the components which repairing the component needs or doesn’t need to stop the mission carrying out by it. The RCM is classified as a preventive maintenance policy and has significant contribution in practical applications. However, little research has been devoted to modeling the online and offline Preventive Maintenance. This research assumes that the component failure rate will be improved if the OFPM is performed for a long period of time as a part of an RCM program. Application of an OFPM program could cause the component set at least to “as bad as old state but cannot reach the “as good as new” state. The emphasis of this research is to model the OFPM for critical components or any equipment with critical failure in a system. The proposed model is based on the concept of PM and improvement factor of reliability in a system with critical components which their failure could cause a failure in the system (first-order cut- sets).DOI:http://dx.doi.org/10.11591/ijece.v4i2.5514
Volume: 4
Issue: 2
Page: 193-199
Publish at: 2014-04-01

Metric suite to Evaluate Reusability of Software Product Line

https://ijece.iaescore.com/index.php/IJECE/article/view/5570
Mohammad Ali Torkamani
Metrics have long been used to measure and evaluate  software products and processes. Software product line architecture is a field in which few metrics have been applied, a surprising fact given the important role of software product line architecture in software product line development. Recently, Some metrics have been developed to assess software product line architecture. These metrics are useful but have not been widely used in industry. In this paper, some new metrics are provided to assess reusability of Software product line architecture. Our metrics are evaluated in action.DOI:http://dx.doi.org/10.11591/ijece.v4i2.5137
Volume: 4
Issue: 2
Page: 285-294
Publish at: 2014-04-01

Design of a Multi-parameter Measurement System

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3361
Yaoliang Shi , Guangyu Zheng , Li Wu , Shusheng Peng
This paper introduces a multi-parameter measurement system, which is used for recording the temperature and humidity, atmospheric pressure, rotation speed and acceleration, etc. The system uses a 32-bit RISC microprocessor of STM32F103ZET6 based on the core of ARM Coretex-M3 as master chip. Meanwhile, it writes the data recorded to NAND FLASH. After it is over, it copies the data to host-computer through SD card. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4782  
Volume: 12
Issue: 4
Page: 3118-3125
Publish at: 2014-04-01

ANN Based Modeling and Optimization of Large Pumped Storage Station

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3285
Hongtao Zeng , Linlin Lin , Zhixin Wang , Wengang Tian , Cong Feng , Zhihuai Xiao
Modeling of regulating system of large pumped storage power station with long pipeline and parameters optimization in transient processes are studied in this paper. According to the actual parameters of a certain pumped storage power station, MATLAB/Simulink toolbox is utilized for modeling and simulation of its subsystems. Friction resistance coefficient and water elasticity are taken into consideration in modeling of pressure diversion syste。As to simulate hydraulic vibration characters, BP neural network and RBF neural network are adopted in modeling of pump turbine. Based on the established regulating system simulation model, improved orthogonal experiment method is applied in parameters optimization of no-load frequency disturbance, load disturbance and load shedding transient processes. According to the results, the proposed model reflect the actual characteristics of pumped storage units, and improved orthogonal experiment method is effective in figuring out the optimal parameters group within the given range. This paper provides guidance for modeling of regulating system of large pumped storage units, and set references and theoretical basis for actual optimal control of transient processes in pumped storage units. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4730
Volume: 12
Issue: 4
Page: 2497-2505
Publish at: 2014-04-01

Field Monitoring of Treated Industrial Waste Water

https://ijece.iaescore.com/index.php/IJECE/article/view/5565
Vasudha Bhandari , Preeti Abrol
Discharge of untreated industrial water on land and in existing waterbodies has deteriorated the quality of these sources and has become harmful and disasterous for human as well as aquatic life..Many a times even treated industrial effluents are proved to be harmful. So in the project discussed below an effort has been made to test the treated industrial waste water and send the obtained results to the concerned industry as well as pollution control board. The sensor used to test the water were pH electrode (PE03), conductivity electrode (k=1),purity sensor, thermistor. The results obtained from the above sensors were then sent  to the industry control room as well as pollution control board.using ZigBee.DOI:http://dx.doi.org/10.11591/ijece.v4i2.5876
Volume: 4
Issue: 2
Page: 237-242
Publish at: 2014-04-01

Pitch Channel Control of Airship with Adaptive Sliding Mode

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3301
Xinli Zhang , Yunan Hu , Baoliang Geng
Based on the nonlinear model of airship pitch channel, a kind of sliding mode control method is designed without any prior information about airship parameters. The adaptive turning law is adopted to solve the unknown information of airship in model. So the whole information for controller can used are only the measurement of pith angle and its angle speed. Detailed simulation are done for two situations such as airship flying with big trust and small trust Numerical simulation results shows that the airship can fly smooth and safe. Especially, the controller can use the same group of parameters during all kinds of above flying conditions. So it shows that the proposed method is reasonable and effective. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4754
Volume: 12
Issue: 4
Page: 2628-2635
Publish at: 2014-04-01

New Techniques for Disconnector Switching VFT Mitigation in GIS

https://ijece.iaescore.com/index.php/IJECE/article/view/5559
Abdelrahman Said Abdelrahman , Mousa Awad Allah Abd-Allah , Ebrahim A Badran
Switching operations in a Gas Insulated Substations (GIS) generate very fast transient over voltages (VFTO) which are dangerous for the transformer and the system insulation because of their short rise time. Under special circumstances the overvoltages can arise close to the transformer Basic Insulation Level (BIL). The reduction of VFTO amplitudes is considered main challenges. Therefore, VFTO in the 220 kV Wadi-Hoff GIS is analyzed and the worst case for disconnector switching is predicted using EMTP/ATP in this paper. VFTO mitigation techniques are studied in this work. Furthermore, proposed techniques are presented for mitigating the VFTO. The proposed techniques can be used by the maintenance engineers, transformer designers, and GIS insulation manufactures. The results show that the proposed techniques highly reduce the VFTO in a simple manner.DOI:http://dx.doi.org/10.11591/ijece.v4i2.5186
Volume: 4
Issue: 2
Page: 179-192
Publish at: 2014-04-01

Comparision of Several Preprocessing Algorithms based on Near Infrared Spectroscopic Measurement of Glucose in Aqueous Glucose Solutions

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3308
Yan Zhang , Yawen Deng , Jinwei Sun , Chunling Yang , Guoliang Zhang , Dan Liu
Glucose concentration measurement is the basis of noninvasive detection of blood glucose concentration. It is significant in scientific research. In this study, Near Infrared Spectrum (NIRS) and regression analysis methodology were combined to measure the glucose concentration. The spectrum of glucose solutions was obtained with the Fourier Transformed Infrared Spectrometer, and then the data was used for regression analysis. In addition, the method of Paritial Least Squares (PLS) was used to achieve principle components and various spectral preprocessing methods were discussed. During PLS modeling, the Savitzky-Golay could improve the Prediction Residual Error Sum of Squares (PRESS) within 6%. The experiment results demonstrate that NIRS has the potential for the measurement of glucose solution. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4060
Volume: 12
Issue: 4
Page: 2683-2689
Publish at: 2014-04-01

Network Intrusion Detection System Based on Optimized Fuzzy Rules Algorithm

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3324
Liang Lei
As computer networks and distributed applications more complex, diverse and intelligent, network behavior anomaly detection has gradually become the effective monitoring and system controlling technology. The paper established a network intrusion detection system and to investigate the data rules, sensors and abnormal behavior automatic identification in this system, a kind of algorithm based on fuzzy rules to describe the network abnormal behavior was introduced into this paper. It was used to describe the misclassification invasion rules effectively and then to convert the misclassification invasion rules to the issue of seeking optimal separating hyper plane. Subsequently, the double super ball membership function was introduced into the system to restrict the intrusion features, and to establish intrusion rule set which was used to make optimized description of the intrusion rule set and then complete intrusion detection. The experimental results showed that: in the context of different network attacks, the system can complete a variety of attacks and efficient detection. The detection error was not more than 1% which basically met the requirements of the reliable, high precision, anti-interference ability in automatic network intrusion detection and provided a reference to the future research on network intrusion detection. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4288
Volume: 12
Issue: 4
Page: 2816-2825
Publish at: 2014-04-01

Modeling and Simulation of NFC Logical Layer Peer-to-Peer Mode using CPN and TA

https://ijece.iaescore.com/index.php/IJECE/article/view/5575
Saeed Ghasemi , Leili Mohammad Khanli , Mina Zolfi , Ghader Tahmasebpour
Network communication technologies have been growing explosively due to the increasing demand on faster and simpler communication; hence, providing new communication technologies is a challenging task. To make this task easy, many researchers have developed different network modeling and simulation tools with different characteristics. In this paper, simulation of Near Field Communication (NFC) logical layer control protocol is proposed to investigate efficiency of NFC device in peer-to-peer mode. For this purpose, Colored Petri Net (CPN) and Timed Automata (TA) have been used for analyses. According to the results, CPN was better than TA for simulating NFC logical layer control protocol because it could provide more details on complex communication network.DOI:http://dx.doi.org/10.11591/ijece.v4i2.5154
Volume: 4
Issue: 2
Page: 162-168
Publish at: 2014-04-01

The Approach of Error Calibration for Three-axis Magnetic Heading Sensor

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3356
Miaoxin Xiao
The accuracy of magnetic heading sensor is reduced by the impact of manufacturing technology and local magnetic interferences. The singularity of constraint matrix in traditional calibration algorithm leads to unstable results. Therefore, an improved least-square ellipsoid fitting method is proposed in this paper. The error source and the deviation mathematical model are introduced. On the basis of the analysis on singularity of the constraints matrix, parameter extraction by the improved least-square ellipsoid fitting method is given. The new method successfully overcomes the instability of the traditional algorithm, and reduces the computation load. Simulation and experimental results show that this method is effective in calibrating magnetic heading sensor. The heading precision of the sensor acquired after calibration is better than 0.42º DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4837
Volume: 12
Issue: 4
Page: 3078-3084
Publish at: 2014-04-01

Fuzzy Rough Set Conditional Entropy Attribute Reduction Algorithm

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3340
Jinsheng Ren , Haitao Jia
Modern science is increasingly data-driven and collaborative in nature. Comparing to ordinary data processing, big data processing that is mixed with great missing date must be processed rapidly. The Rough Set was generated to deal with the large data. The QuickReduct is a popular attribute algorithm as the attribute reduction of big database. But less effort has been put on fuzziness and vagueness data. Considering this requirement this paper proposes an improved attribute reduction based on condition entropy of fuzzy rough sets (FRCE) which can deal with the continuous and fuzzy data. This algorithm rewrites the expression of condition entropy by using the information theory. Last this paper takes the UCI database to simulate the efficiency of this algorithm. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4795
Volume: 12
Issue: 4
Page: 2969-2976
Publish at: 2014-04-01

Semi-Supervised Affine Alignment of Manifolds

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3292
Rui Jia , Ting Lu
High dimensional data is usually produced by the source that only enjoys a limited number of degrees of freedom. Manifold leaning technique plays an important part in finding the correlation among the high dimensional data datasets. By making use of manifold alignment, the paired mapping relationship can be explored easily. However, the common manifold alignment algorithm can only give the mapping result of the training set, and cannot deal with a new coming point. A new manifold alignment algorithm is proposed in this paper. The benefit of our algorithm is two fold: First, the method is a semi-supervised approach, which makes better use of the local geometry information of the unpaired points and improves the learning effect when the labeled proportion is very low. Second, an extended spectral aggression trick is used in the algorithm, which can produce a linear mapping between the raw data space and the aligned space. The experiments result shows that, the correlation mapping can be precisely obtained, the hidden space can be aligned effectively, and the cost of mapping a coming point is very low. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4808
Volume: 12
Issue: 4
Page: 2559-2564
Publish at: 2014-04-01
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