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27,438 Article Results

A Simple Three-term Conjugate Gradient Algorithm for Solving Symmetric Systems of Nonlinear Equations

10.11591/ijaas.v5.i3.pp118-127
M. Y. Waziri , L. Muhammad , J. Sabi’u
This paper presents a simple three-terms Conjugate Gradient algorithm for solving Large-Scale systems of nonlinear equations without computing Jacobian and gradient via the special structure of the underlying function. This three term CG of the proposed method has an advantage of solving relatively large-scale problems, with lower storage requirement compared to some existing methods. By incoporating the Powel restart approach in to the algorithm, we prove the global convergence of the proposed method with a derivative free line search under suitable assumtions. The numerical results are presented which show that the proposed method is promising.
Volume: 5
Issue: 3
Page: 118-127
Publish at: 2016-09-01

Optimum Software Aging Prediction and Rejuvenation Model for Virtualized Environment

10.11591/ijeecs.v3.i3.pp572-578
I M Umesh , G N Srinivasan
Advancement in electronics and hardware has resulted in multiple softwares running on the same hardware. The result is multiuser, multitasking and virtualized environments.  However, reliability of such high performance computing systems depends both on hardware and software.  For hardware, aging can be dealt with replacement. But, software aging needs to be dealt with software only. For aging detection, a new approach using machine learning framework has been proposed in this paper. For rejuvenation, Adaptive Genetic Algorithm (A-GA) has been developed to perform live migration to avoid downtime and SLA violation. The proposed A-GA based rejuvenation controller (A-GARC) has outperformed other heuristic techniques such as Ant Colony Optimization (ACO) and best fit decreasing (BFD) for migration. Results reveal that the proposed aging forecasting method and A-GA based rejuvenation outperforms other approaches to ensure optimal system availability, minimum task migration, performance degradation and SLA violation.
Volume: 3
Issue: 3
Page: 572-578
Publish at: 2016-09-01

IRAMY Inverter Control for Solar Electric Vehicle

10.11591/ijpeds.v7.i3.pp1012-1022
Rachid Taleb , Hemza Saidi
Solar Electric Vehicles (SEV) are considered the future vehicles to solve the issues of air pollution, global warming, and the rapid decreases of the petroleum resources facing the current transportation technology. However, SEV are still facing important technical obstacles to overcome. They include batteries energy storage capacity, charging times, efficiency of the solar panels and electrical propulsion systems. Solving any of those problems and electric vehicles will compete-complement the internal combustion engines vehicles. In the present work, we propose an electrical propulsion system based on three phase induction motor in order to obtain the desired speed and torque with less power loss. Because of the need to lightweight nature, small volume, low cost, less maintenance and high efficiency system, a three phase squirrel cage induction motor (IM) is selected in the electrical propulsion system. The IM is fed from three phase inverter operated by a constant V/F control method and Space Vector Pulse Width Modulation (SVPWM) algorithm. The proposed control strategy has been implemented on the texas instruments TM320F2812 Digital Signal Processor (DSP) to generate SVPWM signal needed to trigger the gates of IGBT based inverter. The inverter used in this work is a three phase inverter IRAMY20UP60B type. The experimental results show the ability of the proposed control strategy to generate a three-phase sine wave signal with desired frequency. The proposed control strategy is experimented on a locally manufactured EV prototype. The results show that the EV prototype can be propelled to speed up to 60km/h under different road conditions.
Volume: 7
Issue: 3
Page: 1012-1022
Publish at: 2016-09-01

Influence of Web Based Cooperative Learning Strategy and Achiever Motivation on Student Study Outcome

10.11591/ijere.v5i3.4538
Bambang Hariadi , Tutut Wurijanto
The research aimed at examining the effect of instructional strategy (web-based STAD and text-based STAD) and achiever motivation toward student learning outcomes. The research implied quasi-experimental design with nonequivalen control group factorial version. The subjects were undergraduated students of Information Systems of academic year 2014/2015 at STIKOM Surabaya. Two groups were involved in the investigation with which amounts to 67 students, comprised of 34 students for the experimental class and 33 students for grade control. The collected data were statistically processed using analysis of variance techniques (ANOVA) two paths using a significance level of 0,05. The results of this research indicate that there is a difference in outcome study of Organization Behavior courses is significant between groups of students who studied with a web-based STAD type cooperative instrutional strategies and textual STAD type cooperative strategies. Based on the findings of this research, researchers suggest implementing STAD tipe cooperative of instructional strategy, with simultaneously (complementary) between the web-based and text-based in the form of blended learning.
Volume: 5
Issue: 3
Page: 189-199
Publish at: 2016-09-01

Backstepping Control of Wind and Photovoltaic Hybrid Renewable Energy System

10.11591/ijpeds.v7.i3.pp677-687
Marouane El Azzaoui , Hassane Mahmoudi , Karima Boudaraia
This paper deals with the interconnected grid hybrid renewable energy system (HRES). The wind energy conversion system (WECS), is built around a wind turbine coupled to a doubly fed induction generator (DFIG). The stator of DFIG is directly related to the grid and the rotor is connected to the grid through back-to-back power converters. The proposed algorithm combines the nonlinear Backstepping approach and the eld orientation applied to control the DFIG. In a rst step, this technique is applied to the side converter rotor (RSC), to control the electromagnetic torque and reactive power, and secondly, it is applied to the grid side converter (GSC) to control the power exchanged with the grid and regulate the DC bus voltage. The PV energy system is composed by the PV array and the DC-DC boost converter which controlled by the MPPT method to extract the optimal power. Simulations results present the performances in terms of set point tracking, stability, and robustness with respect to the variation in wind speed and irradiation.
Volume: 7
Issue: 3
Page: 677-687
Publish at: 2016-09-01

A Novel Control Strategy of Indirect Matrix Converter Using Space Vector Modulation

10.11591/ijpeds.v7.i3.pp926-935
Kuldeep Behera , Subrat Behera
This paper introduces a control scheme of Indirect Matrix Converter which includes space vector modulation to stabilize the frequency variations. The terminal voltage and frequency of any synchronous machine can be controlled easily with this scheme. Further the control strategy is proposed and implemented in Matlab/Simulink Embedded system which gives significant better performance compared to conventional control technique like better Total Harmonic Distortion (THD), more output voltage with same Modulation Index, less switching stress and less switching loss. This method might prove effective for wind energy conversion system using DFIG as the DFIG speed is close to synchronous speed. The complete control strategy is verified using MATLAB/Simulink.
Volume: 7
Issue: 3
Page: 926-935
Publish at: 2016-09-01

Mathematical Model for Mapping Students’ Cognitive Capability

10.11591/ijere.v5i3.4543
Hardi Tambunan
The quality mapping of educational unit program is important issue in education in Indonesia today in an effort to improve the quality of education. The objective of this study is to make a mathematical model to find out the map of students’ capability in mathematics. It has been made a mathematical model to be used in the mapping of students’ capability. Demonstration of the use of models performed in accordance with the data of the results from the math test given to 147 students in grade XII, state senior high school, science program, and academic year 2015-2016. The map of students’ capability can be known that 48 test items are derived from 16 sub topics of three cognitive domain, only 19 test items are achieved. The achieved map lies in 8 sub topics for knowledge domain and 6 sub topics for comprehension domain and application domain has 5 sub topics. So that sub topic and cognitive domain which can not be achieved can be done further corrective action to obtain the maximum results. This paper demonstrates how operational research techniques can be applied for problem solving in education.
Volume: 5
Issue: 3
Page: 221-226
Publish at: 2016-09-01

Interleaved Boost Converter Fed with PV for Induction Motor/Agricultural Applications

10.11591/ijpeds.v7.i3.pp835-853
Adireddy Ramesh , M. Siva Kumar , O. Chandra Sekhar
In present Electricity market Renewable Energy Sources (RES) are gaining much importance. The most common Renewable Energy Sources are Photo voltaic (PV), fuel cell (FC) and wind energy systems, out of these three PV systems PV system can implemented in most of the locations. Due to the power cuts and power disturbances in Distribution systems agriculture application is concentrated on PV based Energy system. The use of PV system is increasing day by day in agriculture application, due to their ease of control and flexibility. PV Electrification schemes also involves various subsidies in government national and international donors. Especially in Agriculture field by use of PV one can achieve higher subsidy. The output of PV system is low voltage DC to have high efficiency. The motors used in agriculture field are Induction Motors (IM) fed from Three phase AC supply, to boost the PV output we need a high voltage gain boost converter along with PWM inverter to Induction motor drive. Out of various DC-DC converter configurations interleaved boost converter is gaining much attention, due to its reduction in size and Electromagnetic Interference (EMI). In this work we are proposing a PV fed interleaved boost converter with PWM inverter for agriculture applications. The design process of interleaved boost converter is explain detail and compared with existing boost converter. A 10KW Power rating is choosing for the Induction motor drive and design calculations are carried out. A MATLAB/SIMULINK based model is developed for boost and interleaved boost converter and simulation results are presented, finally a scaled down hardware circuit design for interleaved boost converter and results are presented.
Volume: 7
Issue: 3
Page: 835-853
Publish at: 2016-09-01

Improving Process Writing with the Use Authentic Assessment

10.11591/ijere.v5i3.4539
Muhammad Noor bin Abdul Aziz , Nurahimah Mohd Yusoff
The paper discusses on how process writing is improved with the use of authentic assessment in an English Language classroom. Eleven primary school children from Year 4 in a rural school in Sabah are the participants of the study. Data were collected by observing them during the English Language lessons and at the end of the series of observations, an interview session was conducted. The results of the study revealed thatusing authentic assessment to assess young learners’ writing skills is beneficial and effective in helping them to write better in the English Language classroom. The presentation will therefore provide suggestions for the use of more authentic assessment in the classroom, particularly in English Language teaching and learning.
Volume: 5
Issue: 3
Page: 200-204
Publish at: 2016-09-01

Mining Association Rules: A Case Study on Benchmark Dense Data

10.11591/ijeecs.v3.i3.pp546-553
Mustafa Bin Man , Wan Aezwani Wan Abu Bakar , Zailani Abdullah , Masita@Masila Abd Jalil , Tutut Herawan
Data mining is the process of discovering knowledge and previously unknown pattern from large amount of data. The association rule mining (ARM) has been in trend where a new pattern analysis can be discovered to project for an important prediction about any issues. Since the first introduction of frequent itemset mining, it has received a major attention among researchers and various efficient and sophisticated algorithms have been proposed to do frequent itemset mining. Among the best-known algorithms are Apriori and FP-Growth. In this paper, we explore these algorithms and comparing their results in generating association rules based on benchmark dense datasets. The datasets are taken from frequent itemset mining data repository. The two algorithms are implemented in Rapid Miner 5.3.007 and the performance results are shown as comparison. FP-Growth is found to be better algorithm when encountering the support-confidence framework.
Volume: 3
Issue: 3
Page: 546-553
Publish at: 2016-09-01

Small Scale Unmanned Underwater Remotely Operated Crawler (ROC)

10.11591/ijeecs.v3.i3.pp481-488
Mohd Shahrieel Mohd Aras , Muhammad Nizam Kamarudin , Muhammad Hanif Bin Che Rusli , Muhammad Iktisyam Mohd Zainal
This project is describes the development of underwater vehicle which is remotely operated crawler (ROC). The ROC is developed for the implementation of underwater surface floor and used as for rescuing application. This project is aim to reduce the risk the human life and to solve the disability of human to dive to the underwater for rescue and archeologist work in a longer period. Due to the underwater vehicle that can be operated in a larger depth and reducing the liability of the human life. Moreover, the main problem with this ROC application is to travelling under the uneven of the underwater floor and make sure it always have negative buoyant and a good stability to perform at uneven surface of underwater. Furthermore, the ROC need the overcome the obstacle of the underwater surface without any problem. Therefore, the design of ROC is based on four wheel mechanism to maneuver it at the uneven surface. Besides that, the ROC is tethered and control manually by using a joystick controller and the Peripheral Interface Controller (PIC) are used to control this ROC. This method is to fulfill the target of the project that are to develop and fabricate the ROC and to study the performance of the ROC in terms of controllability, stability and maneuverability. As a result, the movement of ROC is analyzing in order to gain the requirement of stability and the buoyancy in the water. Moreover, the development of the ROC can be tested in several experiments which includes overcome obstacle, controllability, and it performances to be operated on the surface floor of underwater. Hence, this project will gives the good impact and benefit related to the underwater industries and can be applied in the rescuing application in the future.
Volume: 3
Issue: 3
Page: 481-488
Publish at: 2016-09-01

Comparative Study between Drill Skill and Concept Attainment Model towards Physics Learning Achievement

10.11591/ijere.v5i3.4541
Izaak Hendrik Wenno , Pieter Wattimena , Luky Maspaitela
Alternative learning model that can be used in teaching physics to overcome the problems of lack of student learning achievement is a model of skill training (drill skills, and the concept attainment model. Drill skill model is a teaching technique in which students carry out training activities on what they have learned, so that the material already taught more embedded in the minds of students, and students will have the dexterity or higher, while the concept attainment is a model of achievement of learning model that is designed to help students to be more easily learn a concept. The purpose of this study was to compare the results between student who was teached with drill skill model and concept attainment model. The quasi-experimental type was used. Sampling was done randomly in order to obtain two classes one for the first experimental group with drill skill, and the second one for the second experimental group with concept attainment model. These results suggest that the science-physics learning achievement of students with drill skill model is better than using a concept attainment model.
Volume: 5
Issue: 3
Page: 211-215
Publish at: 2016-09-01

Multi-objective Optimization Scheme for PID-Controlled DC Motor

10.11591/ijpeds.v7.i3.pp734-742
Gunawan Dewantoro
DC Motor is the most basic electro-mechanical equipment and well-known for its merit and simplicity. The performance of DC motor is assessed based on several qualities that are most-likely contradictory each other, i.e. settling time and overshoot percentage. Most of controllers optimization problems are multi-objective in nature since they normally have several conflicting objectives that must be met simultaneously. In this study, the grey relational analysis (GRA) was combined with Taguchi method to search the optimum PID parameter for multi-objective problem. First, a L9 (33) orthogonal array was used to plan out the processing parameters that would affect the DC motor’s speed. Then GRA was applied to overcome the drawback of single quality characteristics in the Taguchi method, and then the optimized PID parameter combination was obtained for multiple quality characteristics from the response table and the response graph from GRA. Signal-to-noise ratio (S/N ratio) calculation and analysis of variance (ANOVA) would be performed to find out the significant factors. Lastly, the reliability and reproducibility of the experiment was verified by confirming a confidence interval (CI) of 95%.
Volume: 7
Issue: 3
Page: 734-742
Publish at: 2016-09-01

Accelerometer Based Control of Robotic Arm

10.11591/ijra.v5i3.pp176-181
Yogita sawant
Abstract— Robots are very smart and interactive machines that can be programmed and used in many areas such as industry, manufacturing, production lines, household or health, etc. These robots can perform hard, dangerous, and accurate work to facilitate our life and to increase the production. Humans are trying to minimize the time required to do the similar kind of jobs. The task in which picking & placing of an object is to be done, can be carried out with the help of robots. These robots can minimize the human efforts. The robotic arms can be also used in the industries to assemble the small parts, in chemical industries to pick and place small types of object such as tablets. Artificial robotic arms thus can be used to control gestures. In this paper an  idea of controlling robotic arm is implemented using an accelerometer which is placed on the human hand, capturing its behavior (gestures and postures) which are then transmitted at some distance and the robotic arm assembly connected wirelessly moves accordingly.
Volume: 5
Issue: 3
Page: 176-181
Publish at: 2016-09-01

Improving Students’ Creative Thinking and Achievement through The Implementation of Multiple Intelligence Approach with Mind Mapping

10.11591/ijere.v5i3.4546
I Wayan Widiana , I Nyoman Jampel
This classroom action research aimed to improve the students’ creative thinking and achievement in learning science. It conducted through the implementation of multiple intelligences with mind mapping approach and describing the students’ responses. The subjects of this research were the fifth grade students of SD 8 Tianyar Barat, Kubu, and Karangasam. The objects of this research were multiple intelligence, achievement in science and students’ response. The research was conducted in two cycles and every cycle consisted of planning, action implementation, observation, and reflection. The data of students’ creative thinking were collected by performance test; the data of students’ achievement in learning science were collected through questionnaire. After the data were collected, then they were analyzed descriptively and quantitatively. The results of the study showed that (1) the implementation of multiple intelligence approach improved the students’ creative thinking and achievement in learning science. The improvement in the students’ creative thinking from cycle I to cycle II is 16.56%. (2) The improvement of the students’ achievement in learning science from cycle I to cycle II is 11.46%. (3) The students’ response to the implementation of multiple intelligence with mind mapping fell into category positive.The students felt happy in learning science through the implementation of multiple intelligences with mind mapping.
Volume: 5
Issue: 3
Page: 246-254
Publish at: 2016-09-01
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