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28,451 Article Results

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

Power System Oscillation Damping Using New Facts Device

10.11591/ijece.v5i2.pp198-204
D. Narasimha Rao , V. Saritha
This paper presents about improving stability of the system which can be possible with new FACTS device with more convenient. FACTS devices come under the influence of power electronics equipment. Distributed Power Flow Controller is a FACTS device used for damping low frequency oscillation with new controlling approach. It is valid for a wide range of the operating condition. In this work explain the basic model and its steady state operation, mathematical analysis injection of current control model of the DPFC. Using damping controller used in DPFC facts device as input to implement the task of power oscillation damping .Here this work had a brief study on damping, terminal voltage and excitation voltage at different load conditions, simulation results demonstrate damping low frequency oscillation at nominal, light and heavy loading conditions
Volume: 5
Issue: 2
Page: 198-204
Publish at: 2015-04-01

Discrete Markov Chain Based Spectrum Sensing for Cognitive Radio

10.11591/ijece.v5i2.pp297-303
Mohammadreza Amini , Asra Mirzavandi , Mosrafa Rezaei
Spectrum sensing is one of the functionalities of cognitive radios to exploit spectrum holes without interrupting primary users transmission. The more efficient of the spectrum sensing, the highest the throughput of secondary and primary network. This paper presents spectrum sensing method based on phase type modelling that is simple to do for secondary users to conclude about the channel state (idle or busy) under collision constraint. The parameters of phase type model can be adjusted based on desired operating point of the receiver sensor in its ROC curve. The presented approach can run a trade off between sensing time and the two error probabilities of sensor false alarm and miss-detection.
Volume: 5
Issue: 2
Page: 297-303
Publish at: 2015-04-01

Three-Dimensional Devices Transport Simulation Lifetime and Relaxation Semiconductor

10.11591/ijece.v5i2.pp243-250
Nouar Fadila Souad , Mansouri Seddik , Amrani Mohamed , Marie Pierre , Massoum Ahmed
Our work is to create a three-dimensional Simulator (3D) used for the study of the components to low geometry of design, and to determine in the volume structure  the  potential distributions and densities of free carriers in bias voltage given by solving the system of Poisson  and two  continuities equations. The initial version can simulate components of lifetime semiconductor.  In this study, we make a comparison between the lifetime and relaxation semiconductor in the conduction mode. In order to create a larger Simulator, we'll perform a calculation by varying am bipolar lifetime way to move from lifetime semiconductor to relaxation semiconductor. We consider the case corresponding at two different values of diffusion lifetime τ0 which is corresponding to a measured lifetime in current transport. The method of resolution consists to linearization of the equations transport by the finite differences method. The algorithm for solving linear and strongly coupled equations deduced from the physical model is the Newton-Raphson. However, in order to allow a better convergence and consequently an improvement of time computing 3D, a method combined, incorporating the Newton algorithm and the Gummel method was developed. PIN diodes are used for test of the simulation model
Volume: 5
Issue: 2
Page: 243-250
Publish at: 2015-04-01

Adaptive Fuzzy Integral Sliding-Mode Regulator for Induction Motor Using Nonlinear Sliding Surface

10.11591/ijpeds.v5.i4.pp512-519
Yong-Kun Lu
An adaptive fuzzy integral sliding-mode controller using nonlinear sliding surface is designed for the speed regulator of a field-oriented induction motor drive in this paper. Combining the conventional integral sliding surface with fractional-order integral, a nonlinear sliding surface is proposed for the integral sliding-mode speed control, which can overcome the windup problem and the convergence speed problem. An adaptive fuzzy control term is utilized to approximate the uncertainty. The stability of the controller is analyzed by Lyapunov stability theory. The effectiveness of the proposed speed regulator is demonstrated by the simulation results in comparison with the conventional integral sliding-mode controller based on boundary layer.
Volume: 5
Issue: 4
Page: 512-519
Publish at: 2015-04-01

Single Phase Z-Source Inverter with Differential Evolution (DE) based Maximum Power Point Tracker

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1451
M.F.N. Tajuddin , B. Ismail , A. Azmi , S. M. Ayob , Z. Salam
This paper presents an efficient power conditioning system for PV power system generation. The proposed Photovoltaic Power Conditioning System (PVPCS) used a single-stage single-phase Z-Source Inverter (ZSI) integrate with a relatively new evolutionary optimization algorithm known as the Differential Evolution (DE) as the Maximum Power Point (MPP) Tracker. Utilization of single-stage power conditioner overcomes several drawback of the two-stage configuration namely a higher part count, lower efficiency, lower reliability, higher cost and larger size. Furthermore, with a highly effective Differential Evolution (DE) based MPPT technique, the maximum power extraction from PV power generator is always at the optimum value. The proposed technique can track the true global MPP in most environmental circumstances particularly during the occurrence of partial shading condition. The proposed PVPCS is developed using MATLAB/Simulink. Simulation results show that the proposed PVPCS is able to realize inversion and boost function in single processing stage as well as dealing with partial shading condition. DOI: http://dx.doi.org/10.11591/telkomnika.v14i1.7454
Volume: 14
Issue: 1
Page: 80-89
Publish at: 2015-04-01

Big Data: challenges, opportunities and Cloud based solutions

10.11591/ijece.v5i2.pp340-343
Hamid Bagheri , Abdusalam Abdullah Shaltooki
We are living in an era of information explosion. There are challenges with large and complex amount of data generated every day by social networks, wikis, blogs, emails, traffic system, bridges, airplanes and engine, satellites and weather sensors. 90% of current data in the world has been created in the last two years. Our smart planet becomes more and more intelligent. Besides the challenges posed by such vast amount of data including storage, search, sharing, analysis, and visualization, there are also much opportunities for the world as it becomes more and more digitalized. This study presents Big Data and highlights its key concepts and state-of-the-art implementation as well as research challenges and suggests research directions for future. IT log analytics, Fraud detection pattern, social media pattern and modeling and management patterns are some of opportunities. Hadoop is a cloud based and open source solution for Big Data Analytics which has been written by java. Hadoop solution is currently still immature. In this paper, three topics are suggested for research direction: Security issues in Big Data, context-aware information retrieval, and integrating ontology with Big Data.
Volume: 5
Issue: 2
Page: 340-343
Publish at: 2015-04-01

Power Quality Improvement in Distribution System using ANN Based Shunt Active Power Filter

10.11591/ijpeds.v5.i4.pp568-575
Somlal Jarupula , Narsimha Rao Vutlapalli , Narsimha Rao Vutlapalli
This paper focuses on an Artificial Neural Network (ANN) controller based Shunt Active Power Filter (SAPF) for mitigating the harmonics of the distribution system. To increase the performance of the conventional controller and take advantage of smart controllers, a feed forward-type (trained by a back propagation algorithm) ANN-based technique is implemented in shunt active power filters for producing the controlled pulses required for IGBT inverter. The proposed approach mainly work on the principle of capacitor energy to maintain the DC link voltage of a shunt connected filter and thus reduces the transient response time when there is abrupt variation in the load. The entire power system block set model of the proposed scheme has been developed in MATLAB environment. Simulations are carried out by using MATLAB, it is noticed that the %THD is reduced to 2.27% from 29.71% by ANN controlled filter. The simulated experimental results also show that the novel control method is not only easy to be computed and implemented, but also very successful in reducing harmonics. 
Volume: 5
Issue: 4
Page: 568-575
Publish at: 2015-04-01

FC/PV Fed SAF with Fuzzy Logic Control for Power Quality Enhancement

10.11591/ijpeds.v5.i4.pp470-476
R. Balamurugan , R. Nithya
In this paper, a Fuel cell (FC) / Photovoltaic cell (PV)/ Battery operated three phase Shunt Active power Filter (SAF) is proposed for improving the power quality at the utility side. Fuzzy based instantaneous p-q theory control is proposed for SAF. This SAF consists of Voltage Source PWM Converter (VSC) and a DC link capacitor supplied by a FC/PV/Battery. The filter provides harmonic mitigation with reactive power compensation and neutral compensation for loads at the Point of Common Coupling (PCC). A Single switch boost DC-DC converter connects the FC/PV/Battery with the VSC to maintain the load. The performance of the proposed SAF is tested in MATLAB / SIMULINK environment with Fuzzy logic controller (FLC). The controller maintains the DC link voltage based on the current reference generated by the p-q theory. The Hysteresis PWM current controller is employed to generate the gating pulses to the switches in VSC. The simulation results of the proposed SAF validate the effectiveness of FLC in power quality enhancement.
Volume: 5
Issue: 4
Page: 470-476
Publish at: 2015-04-01

Investigational Security Structural Design Using Client and Server Ambitious Protocols for WMN

10.11591/ijict.v4i1.pp13-22
Selvakani Kandeeban , N Suresh Kumar
Wireless mesh network plays an vital role in our day to day life, Networks are mainly used to deliver voice, video and data but using WMN’s we can communicate in outdoor environments without wired. A wireless mesh can deliver network capacity, reliability and security along with the flexibility. Nowadays the WMN’s are used by municipalities, public safety agencies, port authorities, and industrial organizations to connect to their workers and constituents. However, many technical issues still exist in this field. In order to provide a better understanding of the research challenges of WMNs,   In this paper we propose MobiSEC, a complete security architecture protocols and algorithms for WMNs that provides both access control for mesh users and routers as well as a key distribution schemes that supports layer-2 encryption to ensure security and data confidentiality of all communications that occur in the WMN.
Volume: 4
Issue: 1
Page: 13-22
Publish at: 2015-04-01
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