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30,547 Article Results

An Agent Architecture for Qos-Based Web Service Composition Using the Skyline Algorithm

10.11591/ijict.v6i3.pp179-188
El-Alami Ayoub , Hair Abdellatif
Web service composition is a concept based on the built of an abstract process, by combining multiple existing class instances, where during the execution, each service class is replaced by a concrete service, selected from several web service candidates. This approach has as an advantage generating flexible and low coupling applications, based on its conception on many elementary modules available on the web. The process of service selection during the composition is based on several axes, one of these axes is the QoS-based web service selection. The Qos or Quality of Service represent a set of parameters that characterize the non-functional web service aspect (execution time, cost, etc...). The composition of web services based on Qos, is the process which allows the selection of the web services that fulfill the user need, based on its qualities. Selected services should optimize the global QoS of the composed process, while satisfying all the constraints specified by the client in all QoS parameters. In this paper, we propose an approach based on the concept of agent system and Skyline approach to effectively select services for composition, and reducing the number of candidate services to be generated and considered in treatment. To evaluate our approach experimentally, we use a several random datasets of services with random values of qualities.
Volume: 6
Issue: 3
Page: 179-188
Publish at: 2017-12-01

Comparison of Modeling and Simulation results Management Micro Climate of the Greenhouse by Fuzzy Logic between a Wetland and Arid region

10.11591/ijaas.v6.i4.pp335-342
Didi Faouzi , N. Bibi-Triki , B. Draoui , A. Abène
Currently the climate computer offers many benefits and solves problems related to the regulation, monitoring and controls. Greenhouse growers remain vigilant and attentive, facing this technological development. they ensure competitiveness and optimize their investments / production cost which continues to grow. The application of artificial intelligence in the industry known for considerable growth, which is not the case in the field of agricultural greenhouses, where enforcement remains timid. it is from this fact, we undertake research work in this area and conduct a simulation based on meteorological data through MATLAB Simulink to finally analyze the thermal behavior -greenhouse microclimate energy . In this paper we present comparison of modeling and simulation management of the greenhouse microclimate by fuzzy logic between a wetland  (Dar El Beida Algeria) and the other arid (Biskra Algeria).
Volume: 6
Issue: 4
Page: 335-342
Publish at: 2017-12-01

A Novel Approach for Space Vector Based PWM Algorithm for Diode Clamped Three level VSI Fed Induction Motor Drive

10.11591/ijpeds.v8.i4.pp1534-1547
Debanjan Roy , Madhu Singh , Tapas Roy
Performance of a voltage source inverter depends on pulse width modulation algorithms. Various algorithms exist for conventional space vector as well as space vector based bus clamped pulse width modulation for multilevel inverter in the literature. In this paper appropriate region selection algorithm for conventional space vector pulse width modulation (CSVPWM) and bus clamped pulse width modulation (BCPWM) techniques are proposed for diode clamped three level voltage source inverter. The proposed techniques are implemented on a three level voltage source inverter fed induction motor drive for open loop operation. The schemes are simulated in MATLAB/SIMULINK environments. The merit of proposed region selection algorithm is tested and verified through simulation result. Further performance comparisons between SVPWM and BCPWM for different modulation index are discussed. 
Volume: 8
Issue: 4
Page: 1534-1547
Publish at: 2017-12-01

Review of Machine Vision Based Insulator Inspection Systems for Overhead Power Distribution System

10.11591/ijaas.v6.i4.pp303-312
P. Surya Prasad , B. Prabhakara Rao
The necessity to have reliable and quality power distribution is increasing, and hence there is great scope for research on automation of distribution system. There are signs of increased research in the work on condition monitoring of insulators during the last few decades. The possible failures can be predicted before they actually occur by using the condition monitoring of cables or any electrical equipment on-line. Those assets such as towers, conductors and insulators which are on the threshold of failure have to be replaced or repaired, so that forced outages reduce. Traditionally the workers who inspect these lines check them in close proximity by going for foot-patrolling and pole-climbing. With an incredible expansion of power distribution network even to remote areas, previously mentioned methods do not seem to be viable. In developed countries aerial patrolling has been adopted to monitor the insulators as an alternative. The development of an efficient method of condition monitoring by using image processing followed by machine learning techniques is found to be a suitable method and thus emerging as a feasible option for real-time implementation. This review paper covers overall aspects of automatic detection of defects of insulator systems of electric power lines and classification into different classes by using vision-based techniques.
Volume: 6
Issue: 4
Page: 303-312
Publish at: 2017-12-01

Fault Identification in Sub-Station by Using Neuro-Fuzzy Technique

10.11591/ijaas.v6.i4.pp343-350
Anirudh Yadav , Vinay Kumar Harit
Fault identification and its diagnosis is an important issue in present scenario of power system, as huge amount of electric power is utilized. Random types of faults occur in substation, which leads to irregular and discontinue supply of power from generating to consumer point. Fault detection is an important concept of power system which is to be studied and new method has to develop for fault detection and removal of it. This paper proposed on-line fault detection and identification of fault-type by using Neuro-Fuzzy method in substation. Combination of Artificial Neural Network (ANN) and Fuzzy Logic (FL), results in gaining learning capabilities of fuzzy logic. Variation of current according to fault is used for identification. Fuzzy controller display output condition in form of (0,1).Here, single line-to ground (LG) fault, line-to-line (LL) fault, double line-to ground (LLG)/ LLL fault are considered.
Volume: 6
Issue: 4
Page: 343-350
Publish at: 2017-12-01

Dynamic Key Matrix of Hill Cipher Using Genetic Algorithm

10.11591/ijaas.v6.i4.pp313-318
Andysah Putera Utama Siahaan
The matrix in Hill Cipher was designed to perform encryption and decryption. Every column and row must be inserted by integer numbers. But, not any key that can be given to the matrix used for the process. The wrong determinant result cannot be used in the process because it produces the incorrect plaintext when doing the decryption after the encryption. Genetic algorithms offer the optimized way to determine the key used for encryption and decryption on the Hill Cipher. By determining the evaluation function in the genetic algorithm, the key that fits the composition will be obtained. By implementing this algorithm, the search of the key on the Hill Cipher will be easily done without spending too much time. Genetic algorithms do well if it is combined with Hill Cipher.
Volume: 6
Issue: 4
Page: 313-318
Publish at: 2017-12-01

Classification of Road Damage from Digital Image Using Backpropagation Neural Network

10.11591/ijai.v6.i4.pp159-165
Sutikno Sutikno , Helmie Arif Wibawa , Prima Yusuf Budiarto
One of the biggest causes of death in the world is a traffic accident. Road damage is one of the cause factors from the traffic accident. To reduce this problem is required an early detection against road damage. This paper describes how to classify road damage using image processing and backpropagation neural network. Image processing is used to obtain binary image consists of a normalization, grayscaling, edge detection and thresholding, while the backpropagation neural network algorithm is used for classifying. The conclusion of this test that the algorithm is able to provide the accuracy rate of 83%. The results of this research may contribute to the development of road damage detection system based on the digital image so that the traffic accidents caused by road damage can be reduced.
Volume: 6
Issue: 4
Page: 159-165
Publish at: 2017-12-01

Advances in Application of Fuzzy sets in electrical engineering

10.11591/ijaas.v6.i4.pp351-358
Aditya Jain , Balakrushna Tripathy
Initially a theory, today fuzzy logic has become an operational technique. Used alongside other advanced control techniques, it is making a discrete but appreciated appearance in various electric systems. In the majority of present-day applications, fuzzy logic allows many kinds of designer and operator qualitative knowledge in electrical automation to be taken into account. Fuzzy logic began to interest the media at the beginning of the nineties. The numerous applications in electrical and electronic household appliances, particularly in Japan, were mainly responsible for such interest. Washing machines not requiring adjustment, camcorders with Steadyshot (TM) image stabilization and many other innovations brought the term “fuzzy logic” to the attention of a wide public.
Volume: 6
Issue: 4
Page: 351-358
Publish at: 2017-12-01

Simulation and Analysis of Multiphase Boost Converter with Soft-Switching for Renewable Energy Application

10.11591/ijpeds.v8.i4.pp1894-1902
A. A. Bakar , M.U. Wahyu , A. Ponniran , T. Taufik
This paper presents the simulation design of dc/dc interleaved boost converter with zero-voltage switching (ZVS). By employin the interleaved structure, the input current stresses to switching devices were reduced and this signified to a switching conduction loss reduction. All the parameters had been calculated theoretically. The proposed converter circuit was simulated by using MATLAB/Simulink and PSpice software programmes. The converter circuit model, with specifications of output power of 200 W, input voltage range from 10~60 V, and operates at 100 kHz switching frequency was simulated to validate the designed parameters. The results showed that the main switches of the model converter circuit achieved ZVS conditions during the interleaving operation. Consequently, the switching losses in the main switching devices were reduced. Thus, the proposed converter circuit model offers advantages of input current stress and switching loss reductions. Hence, based on the designed parameters and results, the converter model can be extended for hardware implementation.
Volume: 8
Issue: 4
Page: 1894-1902
Publish at: 2017-12-01

An Open Source Contact-Free Palm Vein Recognition System

10.11591/ijaas.v6.i4.pp319-324
Ranjith Kumar M , Deepika G G , Meenakshi Krishnan , Karthikeyan B
In this document, we propose a novel palm vein recognition system using open source hardware and software. We have developed an alternative preprocessing and feature extraction technique. The proposed system is built on Raspberry Pi using OpenCV 2.4.12. The palm vein image is cropped to Region of Interest(ROI) to reduce the computational time in real time systems and then preprocessed to enhance the vein pattern visibility and to extract more number of key points using SIFT algorithm. Then the descriptors are stored in a dictionary like codebook file during training. Later the descriptors are tested with unknown patterns. The clustering is based on K-means algorithm and classification is done using Support Vector Machines (SVM).
Volume: 6
Issue: 4
Page: 319-324
Publish at: 2017-12-01

Fault Detection & Classification in UPFC Integrated Transmission Line Using DWT

10.11591/ijpeds.v8.i4.pp1793-1803
Sanjay Kumar Mishra , Sarat Chandra Swain , Loknath Tripathy
Fault detection and classification in UPFC (Unified Power Flow Controller) integrated transmission line using single terminal based DWT (Discrete Wavelet Transform) is proposed. The current is extracted from the sending end bus and processed through wavelet transform to evaluate the spectral energy (SE) using db4 mother wavelet. Three level decomposition is framed to extract the fundamental frequency component from non-stationary signal, considering sampling frequency of 2kHz system. The fundamental frequency component of respective phase currents are used to compute SE at sending end. The SE of individual phase current is the key factor for deciding the fault pattern detection and classification. The advantage of using this it requires less cost and protect entire transmission line with minimal fault detection time. The various types of fault (L-G, L-L, L-L-G, L-L-L) are simulated by considering the parameter like fault resistance, source impedance, fault inception angle, multi-location fault, reverse power flow and UPFC system parameter. The scheme works reliable and efficient to detect and classify the fault within a cycle of sample period 40 or a cycle of time period 20ms compared to other conventional relaying scheme.
Volume: 8
Issue: 4
Page: 1793-1803
Publish at: 2017-12-01

Smart Gas Outflow Detection and Safety Circumstance System Using Cloud Technology

10.11591/ijeecs.v8.i3.pp721-725
Srikanth Kottalanka , D. Arivazhagan
The project aim is to design and develop a cloud connected smart LPG gas cylinder platform, acting as a safety device for detecting LPG gas drip at minimum levels to avoid any credible incidents. It is also capable of detect fire exists in the area and level of the gas in order to provide real time monitoring and alert over Cloud server. If an aberrant condition is detected, the device gives an alert to the smartphone app of the user and also sends an alert e-mail to other authorities. In addition to this upon detecting a gas leakage or a fire breakout, the device automatically takes safety precautionary measures, like gas valve closing, ventilation opening, fire sprinkler activation and home electrical power supply cut-off. The device connects to the internet via Wi-Fi and thus increasing the mobility of the platform within the premises of the house. A Wi-Fi capable ARM Cortex-M4 Launchpad is used to execute the system. This device proposes a complete, low-cost, powerful and accessible way of real-time tracking and distant control of gas leakages and preventive mechanisms in household and industrial areas.
Volume: 8
Issue: 3
Page: 721-725
Publish at: 2017-12-01

A Concept of Virtual-Flux Direct Power Control of Three-Phase AC-DC Converter

10.11591/ijpeds.v8.i4.pp1776-1784
Nor Azizah Mohd Yusoff , Azziddin M. Razali , Kasrul Abdul Karim , Tole Sutikno , Auzani Jidin
This paper presents a proposed technique of virtual-flux direct power control (VF-DPC) as the improvement in control method from the basic of conventional direct power control (DPC) for front-end three-phase pulse width modulated (PWM) in ac-dc converter. Three sensors in order to measure the three phase input voltage have been eliminated in the proposed method of virtual flux (VF) regarding from the estimation technique. Theoritical principles of VF-DPC are discussed in this paper. The steady-state performance of VF-DPC and conventional DPC are evaluated and presented in this work to estinguish for the excellent performance. It is shown that the VF-DPC exhibits the several advantages, particularly in providing low total harmonic distortion with almost sinusoudal of input current and unity power factor (pf) operation under balanced three phase voltage supply. The simulation results from both methods through Matlab simulation have demonstrated the outstanding performance of the new proposed control technique from VF-DPC.
Volume: 8
Issue: 4
Page: 1776-1784
Publish at: 2017-12-01

A Study on 3-phase Interleaved DC-DC Boost Converter Structure and Operation for Input Current Stress Reduction

10.11591/ijpeds.v8.i4.pp1948-1953
M. A. Harimon , A. Ponniran , A. N. Kasiran , H. H. Hamzah
This paper analyses a 3-phase interleaved DC-DC boost converter for the conversion of low input voltage with high input current to higher DC output voltage. The operation of the 3-phase interleaved DC-DC boost converter with multi-parallel of boost converters is controlled by interleaved of switching signals with 120 degrees phase-shifted. Therefore, with this circuit configuraion, high input current is evenly shared among the parallel units and consequently the current stress is reduced on the circuit and semiconductor devices and contributes reduction of overall losses. The simulation and hardware results show that the current stress and the semiconductor conduction losses were reduced approximately 33% and 32%, respectively in the 3-phase interleaved DC-DC boost converter compared to the conventional DC-DC boost converters. Furthermore, the use of interleaving technique with continuous conduction mode on DC-DC boost converters is reducing input current and output voltage ripples to increase reliability and efficiency of boost converters.
Volume: 8
Issue: 4
Page: 1948-1953
Publish at: 2017-12-01

Adapting Sources of Middle School Mathematics Self-Efficacy Scale to Turkish Culture

10.11591/ijere.v6i4.10771
Hakkı Kontas , Bahadır Ozcan
The purpose of this study was to adapt the Sources of Middle School Mathematics Self-Efficacy Scale developed by Usher and Pajares to Turkish culture. This scale assesses Bandura’s theorized sources of self-efficacy among mathematics students in middle school. After the Turkish version of the scale was formed, it was applied 6th, 7th and 8th grades 282 middle school students (157 girls and 125 boys). Results of Confirmatory Factor Analysis (CFA) showed good fit indeces; χ2/sd= 2.25, RMSEA= .06, CFI= .98, NNFI= .97 and SRMR= .05. These values indicated that the proposed four factor model was acceptable for this Turkish sampling. The reliability coefficient estimated by Cronbach alpha was found; mastery experience α= .86, vicarious experience α= .75, social persuasions α= .94, physiological state α= .91. Also the reliability coefficient estimated by split-half was found; mastery experience α= .81, vicarious experience α= .73, social persuasions α= .92, physiological state α= .89. Deciding on stability of the scale test-retest applied to 36 studens for 16 days interval. Results showed that mastery experience r= .67, vicarious experience r= .48, social persuasions r= .63, physiological state r= .41. These values indicated that this scale is a reliable instrument for Turkish sampling. In conlusion, Sources of Mathematics Self-Efficacy Scale is a valid and reliable instrument to meeasure sources of mathematics self-efficacy for middle school students in Turkish culture.
Volume: 6
Issue: 4
Page: 288-294
Publish at: 2017-12-01
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