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25,002 Article Results

Real Coded Genetic Algorithm Based Improvement of Efficiency in Interleaved Boost Converter

10.11591/ijpeds.v5.i4.pp529-540
M Arundevi , K Valarmathi , R Mahendran
 The reliability, efficiency, and controllability of Photo Voltaic power systems can be increased by embedding the components of a Boost Converter. Currently, the converter technology overcomes the main problems of manufacturing cost, efficiency and mass production. Issue to limit the life span of a Photo Voltaic inverter is the huge electrolytic capacitor across the Direct Current bus for energy decoupling. This paper presents a two-phase interleaved boost converter which ensures 180 angle phase shift between the two interleaved converters. The Proportional Integral controller is used to reshape that the controller attempts to minimize the error by adjusting the control inputs and also real coded genetic algorithm is proposed for tuning of controlling parameters of Proportional Integral controller. The real coded genetic algorithm is applied in the Interleaved Boost Converter with Advanced Pulse Width Modulation Techniques for improving the results of efficiency and reduction of ripple current. Simulation results illustrate the improvement of efficiency and the diminution of ripple current.
Volume: 5
Issue: 4
Page: 529-540
Publish at: 2015-04-01

Measurement of Information System Project Success Based on Perceptions of the Internal Stakeholders

10.11591/ijece.v5i2.pp271-279
A'ang Subiyakto , Abd. Rahman Ahlan , Mira Kartiwi , Husni Teja Sukmana
In this research, adoption of the DeLone and McLean (D&M) information system (IS) success model and its adaptation with the project success theories were used to explore state of IS project success and to examine factors which affect its success. A survey towards the internal project stakeholder in an univerity with response rate 48% was carried out to collect the raw data for Partial Least Squares Structural Equation Modeling (PLS-SEM) analysis. Majority of the participants (80.7%) stated that level of the project success is more than 50% where information quality, system quality, service quality, system use, and user satisfaction substantially explain 64.5% of variance in the success variable. The three quality factors together explain 43.2% of the variance of system use and 70.4% of the variance of user satisfaction. Although, a number of the findings were consistent with the prior studies, these findings also presented inconsistencies especially related to aspects of information quality and system use. Accordingly, researchers and practitioners will be stand to benefit from the information provided in this study and it is hoped that future research will build upon the findings reported herein as efforts are made to attain the IS project success especially in the sampled institution.
Volume: 5
Issue: 2
Page: 271-279
Publish at: 2015-04-01

Multiple Processes for Least Mean Square Adaptive Algorithm on Roadway Noise Cancelling

10.11591/ijece.v5i2.pp355-360
Sri Arttini Dwi Prasetyowati , Adhi Susanto
Noise is a problem often found in daily life. Noise also make people could not concentrate to do their work. Efforts to reduce noise have been proposed, but, due to variety of the noise’s characteristics, every noise problem requires different solution. This research aim to cancel  the vehicle’s noise while maintaining the information heard. These conditions happened in the hospitals classrooms, or work room near the roadway. The vehicle’s noise change very fast, so the adaptive system is the good solution candidate for solving this problem. On the beginning, the simulation process had the trouble with the iterations. Matlab software only can execute the certain range of iteration. It could not cancel the noise, even the information becomes criptic. The problem is how to cancell the vehicle’s noise with the restriction software and still manage the important information. This research will modify the LMS adaptive algorithm so that the iteration could be done by the system and the main goal of the research could be reached. The modification of the algorithm is based on the filter length (L) used to adapt with the noise. Therefore, this research conducted simulation of the Adaptive Noise Cancelling with two process steps. The output of the first adaptive process have the.same characteristics with the noise that would be cancelled, thus the first adaptive process have the error near to zero.  The second adaptive process changes the input by the output of the first process and mix the information into the noise. Error occured in the final process is the information heard as the dominant output.
Volume: 5
Issue: 2
Page: 355-360
Publish at: 2015-04-01

A Power System Stabilizer for Multi-Machine Power Based on Hybrid BF0A-PSO

10.11591/ijece.v5i2.pp213-220
Mary Saranya , Rajapandiyan A , Fathima K. , Hema S , GeethaPriya S , Saravanan S
Bacterial Swarm Optimization (BSO) is used to design Power System Stabilizers in a multi machine power system. In BSO, the search directions of tumble behavior for each bacterium are oriented by the individual’s best location and the global best location of PSO. The hybrid BFOA-PSO algorithm has been applied to IEEE 14 bus test system under normal, light and heavy load conditions. Simulations results have revealed the strength of the BSO in tuning Power System Stabilizers under normal, light and heavy load conditions. The results present the effectiveness of the controller to improve the power system stability over a different range of loading conditions.
Volume: 5
Issue: 2
Page: 213-220
Publish at: 2015-04-01

Coloring of Cervical Cancer’s Ct Images to Localize Cervical Cancer

10.11591/ijece.v5i2.pp304-310
Erlinda Ratnasari Putri , Amar Vijai Nasrulloh , Arfan Eko Fahrudin
Cervical cancer is the most common gynecologic cancer in women. Cervical cancer and the normal cervix usually have similar attenuations on CT images which are obtained. The normal cervix and the tumour cannot be distinguished on normal CT images. CT image of cervical cancer is used by the experts for the analysis of diseases. In this research study, CT image of cervical cancer is done with process of image segmentation and coloring. The process of image segmentation is done after the image sharpening process and the determination of cervical cancer’s area. Fuzzy C-Means is used as the algorithm for image segmentation. The colors of image segmentation result are changed by program module. The result is the colors of image segmentation uniform with the other results. The image is overlayed with image result of image sharpening process. Coloring image purposes are to distinguish between cervical cancer’s area and normal organ and to localize the existence of cervical cancer. Based on the doctor’s observation, the empirical rate of testing 20 samples on the program is 100%.
Volume: 5
Issue: 2
Page: 304-310
Publish at: 2015-04-01

Doubly-Fed Induction Generator Drive System Based on Maximum Power Curve Searching using Fuzzy Logic Controller

10.11591/ijpeds.v5.i4.pp583-594
Abdelhak Dida , Djilani Benattous
This paper proposes a novel variable speed control algorithm for a grid connected doubly-fed induction generator (DFIG) system. The main objective is to track the maximum power curve characteristic by using an adaptive fuzzy logic controller, and to compare it with the conventional optimal torque control method for large inertia wind turbines. The role of the FLC is to adapt the transfer function of the harvested mechanical power controller according to the operating point in variable wind speed.  The control system has two sub-systems for the rotor side and the grid side converters (RSC, GSC). Active and reactive power control of the back-to-back converters has been achieved indirectly by controlling q-axis and d-axis current components. The main function of the RSC controllers is to track the maximum power through controlling the electromagnetic torque of the wind turbine. The GSC controls the DC-link voltage, and guarantees unity power factor between the GSC and the grid. The proposed system is developed and tested in MATLAB/SimPowerSystem (SPS) environment.
Volume: 5
Issue: 4
Page: 583-594
Publish at: 2015-04-01

A Comparative Analysis of Integrated Boost Flyback Converter using PID and Fuzzy Controller

10.11591/ijpeds.v5.i4.pp486-501
R.Samuel Rajesh Babu
This paper presents a comparative analysis of Integrated boost flyback converter for Renewable energy System. IBFC is the combination of boost converter and fly back converter. The proposed converter is simulated in open and closed loop using PID and FUZZY controller. The Fuzzy Logic Controller (FLC) is used reduce the rise time, settling time to almost negligible and try to remove the delay time and inverted response. The performance of IBFC with fuzzy logic controller  is found better instead of PID controller. The simulation results are verified experimentally and  the output of converter is free from ripples and has regulated output voltage.
Volume: 5
Issue: 4
Page: 486-501
Publish at: 2015-04-01

Recursive Least-Squares Estimation for the Joint Input-State Estimation of Linear Discrete Time Systems with Unknown Input

10.11591/ijece.v5i2.pp259-270
Talel Bessaoudi , Fayçal Ben Hmida
This paper presents a recursive least-squares approach to estimate simultaneously the state and the unknown input of linear time varying discrete time systems with unknown input. The method is based on the assumption that no prior knowledge about the dynamical evolution of the input is available. The joint input and state estimation are obtained by recursive least-squares formulation by applying the inversion lemmas. The proposed filter is equivalent to recursive three step filter. To illustrate the performance of the proposed filter an example is given.
Volume: 5
Issue: 2
Page: 259-270
Publish at: 2015-04-01

Towards a System of Guidance, Assistance and Learning Analytics Based on Multi Agent System Applied on Serious Games

10.11591/ijece.v5i2.pp344-354
Lotfi Elaachak , Amine Belahbibe , Mohammed Bouhorma
With the revolution that the education field has known concerning the methods of learning and especially the integration of new technology, several new tools have appeared to replace the tools already existing, and among them there are serious games, serious games as new tool dedicated to education have occupied an important place, and replaced other tools often used in the learning process. But in the order that serious games reach the intended objectives and help instructors to achieve their perspectives considered, they must be equipped with a guidance and assistance system that will assist the learners during the progression in the sequence of the video game, and in addition, they must be equipped with a system of learning analytics that will help instructors to improve the learning process and teaching methods according to the learning outcomes and feedbacks of their learners. In this perspective of research and development we will establish in this paper a new system of assistance, guidance and learning analytics based on a multi agent system that will work in tandem with a web-based serious game.
Volume: 5
Issue: 2
Page: 344-354
Publish at: 2015-04-01

Braking of Three Phase Induction Motors by Controlling Applied Voltage and Frequency Based on Particle Swarm Optimization Technique

10.11591/ijpeds.v5.i4.pp520-528
Mahmoud Mohamed Elkholy , Mohammed Abd Elhameed
Braking of three phase induction motors is required in many industrial applications. This paper introduces braking of three phase induction motors using particle swarm optimization (PSO) technique. The objective is to determine the optimum values of the applied voltage and frequency during braking to stop the motor in a certain time with minimum braking energy losses to limit any excessive thermal heating. The proposed technique is important and more useful in applications of repeated braking cycles. The results are compared with that obtained using plugging braking method and it's found that the proposed technique gives lower braking energy and shorter braking time. The braking energy losses with the proposed method are about 20% of the plugging braking energy losses with the same braking time. The proposed method determines the variation of optimal values of applied voltage and frequency to have a certain braking time of three phase induction motor at a certain load torque with minimum braking energy losses. The characteristics of the motor are simulated using SIMULINK/MATLAB.
Volume: 5
Issue: 4
Page: 520-528
Publish at: 2015-04-01

A Novel Method for Rotor Field-Oriented Control of Single-Phase Induction Motor

10.11591/ijece.v5i2.pp205-212
M. Jannati , T. Sutikno , N. R. N. Idris , M. J. A. Aziz
This paper presents a novel rotor field-oriented control (RFOC) method for asymmetrical single-phase induction motor (SPIM). It is shown in this paper that by using a suitable transformation matrix (TM) for stator current variables, the asymmetrical equations of SPIM are transformed into symmetrical equations. Based on this similarity, a novel vector conrol technique for SPIM is presented. Performance of the proposed method is assessed using MATLAB/SIMULINK software. Simulation results showed the excellence speed and torque responses obtained using the proposed technique.
Volume: 5
Issue: 2
Page: 205-212
Publish at: 2015-04-01

Classification of Emotional Speech of Children Using Probabilistic Neural Network

10.11591/ijece.v5i2.pp311-317
Hemanta Kumar Palo , Mihir Narayan Mohanty
Child emotions are highly flexible and overlapping. The recognition is a difficult task when single emotion conveys multiple informations. We analyze the relevance and importance of these features and use that information to design classifier architecture. Designing of a system for recognition of children emotions with reasonable accuracy is still a challenge specifically with reduced feature set. In this paper, Probabilistic neural network (PNN) has been designed for such task of classification. PNN has faster training ability with continuous class probability density functions. It provides better classification even with reduced feature set. LP_VQC and pH vectors are used as the features for the classifier. It has been attempted to design the PNN classifier with these features. Various emotions like angry, bore, sad and happy have been considered for this piece of work. All these emotions have been collected from children in three different languages as English, Hindi, and Odia. Result shows remarkable classification accuracy for these classes of emotions. It has been verified in standard databse EMO-DB to validate the result.
Volume: 5
Issue: 2
Page: 311-317
Publish at: 2015-04-01

Design and Implementations of Control System Quadruped Robot Driver Application Based on Windows Platform

10.11591/ijece.v5i2.pp251-258
Made Sudarma , IBA Swamardika , IW Dani Pranata
Wireless remote device control system is a controlling method which is widely used in various fields. By using wireless communication media, remote control system becomes more efficient and flexible. Computer application is one of the devices which can be used to perform remote controlling. Computer application can be made in accordance with the need of its users in conducting device controlling from the distance. Remote controlling is also can be applied on the robotic field. One of the examples is wireless remote controlling of Quadruped Robot. By utilizing its Windows application such as Visual Basic in order to establish communication with wireless communication module such as Xbee-PRO, a control system can be designed which can be used to control the movement of Quadruped Robot wirelessly. Wireless communication module is also has to be installed and able to perform data communication with the device to be controlled that is Quadruped Robot. The addition of camera which is also using wireless communication system will be very helpful for the users in knowing the condition around Quadruped Robot.
Volume: 5
Issue: 2
Page: 251-258
Publish at: 2015-04-01

Design of Controllers for Continuous Stirred Tank Reactor

10.11591/ijpeds.v5.i4.pp576-582
Somasundaram Deepa , N. Anipriya , R. Subbulakshmy
The objective of the project is to design various controllers for temperature control in Continuous Stirred Tank Reactor (CSTR) systems. Initially Zeigler-Nichols, modified Zeigler-Nichols, Tyreus-Luyben, Shen-Yu and IMC based method of tuned Proportional Integral (PI) controller is designed and comparisons are made with Fuzzy Logic Controller. Simulations are carried out and responses are obtained for the above controllers. Maximum peak overshoot, Settling time, Rise time,  ISE, IAE  are chosen as performance index. From the analysis it is found that the Fuzzy Logic Controller  is a promising controller than the conventional controllers.
Volume: 5
Issue: 4
Page: 576-582
Publish at: 2015-04-01

Voltage Stability Analysis and Stability Improvement of Power System

10.11591/ijece.v5i2.pp189-197
Pavithren Pavithren , Raman Raghu Raman , Pratap Nair , K. Nithiyananthan
The main objective of this research work is to analysis the voltage stability of the power system network and its improvement in the network.voltage stability of a power system. A system enters a state of voltage instability when a disturbance, increase in load demand, or change in system condition causes a progressive and an uncontrollable drop in voltage or voltage collapse. The continuing increase in demand for electric power has resulted in an increasingly complex, interconnected system, forced to operate closer to the limits of the stability. This has necessitated the implementation of techniques for analyzing and detecting voltage collapse in bus bar or lines prior to its occurrence. Simple Newton Raphson algorithm based voltage stability analysis has been carried out. Matlab based simulations for all the factors that causes voltage instability has been implemented and analyzed for an IEEE 30 bus system. The proposed model is able to identify the behavior of the power systems, network under various voltage stability conditions and its possibility of recovery/stability improvement of the power system network has been discussed.
Volume: 5
Issue: 2
Page: 189-197
Publish at: 2015-04-01
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