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27,404 Article Results

Load Balancing Algorithm of GPU Based on Genetic Algorithm

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3513
Zhang Xiang Yang
As the development of GPU/CPU parallel computing in recent years, load balance of GPU server has been more and more important, so we promote a genetic algorithm-based load balancing algorithm for GPU RTM. The algorithm takes the server status and job assignment into account, and design a coding mechanism and genetic manipulation, as well as fitness function. The experiments show that,the algorithm can reach a better effect of efficiency and load-balancing. It can hidden data transmission in the parallel computing, and during server downtime, it can prevent the idle of other computing resources. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.4531
Volume: 12
Issue: 6
Page: 4361-4367
Publish at: 2014-06-01

Automatic Selection for Optimal Calibration Model of Camera

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3552
Xuecong Li , Yonghua Wang , Qinruo Wang
When calibration model express camera status well, calibration result will be accurate. How to select optimal calibration model for different camera by program is significant to calibrate automatically. A method of selecting optimal calibration model was proposed in this paper. First, the models including enough possible status were selected from physical models and Chebyshev models. These models would be taken as the input of our method. Second, candidate calibration models were obtained by variance detection. Third, optimal calibration model was extracted by utilizing detection of minimum description length. Experimental results show that calibration residuals is lowest via optimal model, computation error of principle distance is no more than 0.2 pixels and variance lies in the bounds of 0.5 pixels. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5447
Volume: 12
Issue: 6
Page: 4648-4653
Publish at: 2014-06-01

Locating Liver Lesion with Local C-V Level Set and Image Registration

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3541
Zhaohui Luo , Xi Zaifang , Wang Junnian
In this paper, we proposed comprehensive methods to locate the liver lesion in multi-phase CT images. It first construct a local liver lesion image from the image in which liver lesion differs from liver tissue most markedly, then pre-segment the lesion with OTSU method to get the initial contour, and evolve the active contour with local C-V level set method to get the final contour of lesion in the CT image. Finally locate the liver lesion in CT images of other phases by image registration. Experiments showed this method can extract liver tumor efficiently.A well-prepared abstract enables the reader to identify the basic content of a document quickly and accurately, to determine its relevance to their interests, and thus to decide whether to read the document in its entirety. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5393 
Volume: 12
Issue: 6
Page: 4563-4571
Publish at: 2014-06-01

Rolling Path Plan of Mobile Robot Based on Automatic Diffluent Ant Algorithm

10.11591/ijra.v3i2.pp112-117
Zhou Feng
This paper proposes a new rolling algorithm for path plan of mobile robot based on automatically shunt the ant algorithm.The goal node is mapped to the node nearby the boundary in the eyeshot of the robot, and make out the best partial path, which the robot goes ahead for a step. The algorithm will iterate one time when the robot arrives at the goal node. The robot will reach the destination along the optimal path. Simulation experiments illustrate that the algorithm can be used to plan the optimal path for mobile robot even in the complex and unknown static environment.
Volume: 3
Issue: 2
Page: 112-117
Publish at: 2014-06-01

Optimal Vibration Controller for Vehicle Active Suspension System under Road Roughness Disturbances

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3491
Shi-Yuan Han , Gong-You Tang , Yue-Hui Chen , Guang-Peng Li , Xi-Xin Yang
The problem of optimal vibration control for vehicle active suspension systems under road rough-ness disturbance is considered. First, the models for two-degree-freedom quarter-car suspension systemunder road roughness disturbance are presented, and road disturbances are considered as the output of anexosystem. Then, the feedforward and feedback optimal vibration control (FFOVC) law for vehicle active sus-pension systems is obtained and the existence and uniqueness of the FFOVC is proved. A state observeris designed to solve the problem of the physically realizable for the feedforward compensator. Numericalsimulations illustrate the effectiveness of the FFOVC law. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.4380
Volume: 12
Issue: 6
Page: 4190-4199
Publish at: 2014-06-01

Role of Teacher Education in the Achievement of MDGs

https://ijere.iaescore.com/index.php/IJERE/article/view/4470
Amardeep Kaur , Kulwinder Singh
The Millennium Development Goals (MDGs) which include eight goals have been framed to address the world's major development challenges by 2015. In India, considerable progress has been reported to be made in the field of basic universal education, gender equality in education, economic growth and other human development related aspects. Even though the government has implemented a wide array of programmes, policies, and various schemes to combat these challenges, further intensification of efforts and redesigning of outreach strategies are needed to give momentum to the progress toward achievement of the MDG-2 (Achieve Universal Primary Education) and MDG-3 (Promote Gender Equality).To universalize elementary education, Sarva Shiksha Abhiyan (SSA) is one of the major schemes introduced by the government in 2002. Education Guarantee Scheme (EGS) and Alternative and Innovative Education are the components of SSA. Universal enrolment is one of the specific objectives of SSA. The strategy of implementation of Mid-Day Meal Scheme has also played a role in enhancing the enrolment and retention of the students. To focus on girls’ education, several schemes have been incorporated within SSA. National Programmes for Education of Girls at Elementary Level (NPEGEL) and Kasturba Gandhi Balika Vidyalaya Scheme (KGBVS) focus on primary education for girls. In order to achieve this, there is need to ensure sufficient number of schools along with adequately trained teachers for quality instruction and effective functioning of primary education programmes. This is more true in the context of RTE- 2009. Achieving universal schooling requires cent percent enrolment and it also means ensuring that all children continue to attend classes till completion of eight years of schooling (6-14 years) in the near future. Education benefits not only at the individual level but also for the development of country as a whole.  Further gender inequality in education has a direct impact on economic growth through lower levels of quality of human capital. In the light of these emergent issues in school education there is need to develop a sense of higher levels of commitment and sincerity among the prospective teachers. The teacher education programmes need to be reoriented to look into the issues related to enrolment and retention of children along with ensuring quality inputs in teaching -learning process. Hence an effort has been made to address to these issues in school education for the effective designing of on-going teacher education programmes to enable the prospective teachers as well as those in schools for effective implementation of different interventionistic programmes.DOI: http://dx.doi.org/10.11591/ijere.v3i2.5652
Volume: 3
Issue: 2
Page: 125-132
Publish at: 2014-06-01

Design of Piano -playing Robotic Hand

10.11591/ijra.v3i2.pp118-130
Lin Jen-Chang , Hsin-Cheng Li , Kuo-Cheng Huang , Shu-Wei Lin
Unlike the market slowdown of industrial robots, service & entertainment robots have been highly regarded by most robotics reseach and market research agencies. In this study we developed a music playing robot (which can also work as a service robot) for public performance. The research is mainly focused on the mechanical and electrical control of piano-playing robot, the exploration of correlations among music theory, rhythm and piano keys, and eventually the research on playing skill of keyboard instrument. The piano-playing robot is capable of control linear motor, servo-motor and pneumatic devices in accordance with the notes and rhythm in order to drive the mechanical structure to proper positions for pressing the keys and generating music. The devices used for this robot are mainly crucial components produced by HIWIN Technology Corp. The design of robotic hand is based on the direction of anthropomorphic hand such that five fingers will be used for playing piano. The finger actuations include actions of finger rotation, finger pressing, and finger lifting; time required for these 3 stages must meet the requirement of rhythm. The purpose of entertainment robot can be achieved by playing electric piano with robotic hand, and we hope this research can contribute to the development of domestic entertainment music playing robots.
Volume: 3
Issue: 2
Page: 118-130
Publish at: 2014-06-01

Emotional Intelligence and Teacher Efficacy as Predictors of Teacher Effectiveness among Pre-Service Teachers in Some Nigerian Universities

https://ijere.iaescore.com/index.php/IJERE/article/view/4465
Agokei Roland-Alexander Chukwudi
 Evidence from teacher-effectiveness studies indicates that teacher effectiveness has yielded a wealth of understanding about the impact that teacher ability has on student growth. However, much is yet to be known on some psychological factors that could influence teaching effectiveness particularly among pre-service teachers. The purpose of the present study was to investigate the effect of emotional intelligence, and teacher efficacy, on the teacher effectiveness of pre-service teachers. Two validated instruments (Emotional intelligence scale; teacher efficacy scale) were administered on 300 students randomly selected from two Universities in the South-West region of Nigeria. Data were analysed using Pearson Product Moment Correlation and Multiple regression. The findings of this study demonstrated that emotional intelligence and teacher efficacy had predictive influence on teacher effectiveness. Based on these findings, it is suggested that appropriate strategies and policies for fostering teacher efficacy and emotional intelligence would go a long way in enhancing effective teaching among pre-service teachers.DOI: http://dx.doi.org/10.11591/ijere.v3i2.3858
Volume: 3
Issue: 2
Page: 85-90
Publish at: 2014-06-01

Actual Flight Movements of Electric Helicopters for Making a Disaster Area Monitoring System

10.11591/ijra.v3i2.pp75-83
Takuya Saito , Kenichi Mase
This paper describes the actual flight movements of electric helicopters and how to implement a disaster area monitoring system using electric ground vehicles and electric helicopters. A quad-rotor helicopter and a hex-rotor helicopter were used in the proposed system, specifically, the AR.Drone 2.0 and the DJI Innovations frame kit with an auto pilot system, respectively. We developed a software framework for the AR.Drone 2.0, which makes it possible to obtain flight data and images and to control automatic flight operations by computer. The relationship between the flight parameters and the real flight movements of the AR.Drone 2.0 were experimentally investigated. In conclusion, we found that the AR.Drone 2.0 with a software framework and a developed hex-rotor helicopter are sufficiently effective in implementing a disaster area monitoring system using electric ground vehicles and electric helicopters.
Volume: 3
Issue: 2
Page: 75-83
Publish at: 2014-06-01

Multisensor Data Fusion and Integration for Mobile Robots: A Review

10.11591/ijra.v3i2.pp131-138
KS Nagla , Moin Uddin , Dilbag Singh
One of the most important and useful feature of autonomous mobile robots is their ability to adopt themselves to operate in unstructured environment. Today robots are performing autonomously in industrial floor, office environments, as well as in crowded public places where the robots need to maintain their localization and mapping parameters.The basic requirement of an intelligent mobile robot is to develop and maintain localization and mapping parameters to complete the complex missions. In such situations, several difficulties arise in due to the inaccuracies and uncertainties in sensor measurements. Various techniques are there to handle such noises where the multisensor data fusion is not the exceptional one.From the last two decades, multisensor data fusions in mobile robots become a dominant paradigm  due to its potential advantages like reduction in uncertainty, increase in accuracy and reliability and reduction of cost.This paper presents the reviews of autonomous mobile robots and role of multisenosr data fusion.
Volume: 3
Issue: 2
Page: 131-138
Publish at: 2014-06-01

Analysis of DFIG Wind Turbine During Steady-State and Transient Operation

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3488
Omer Elfaki Elbashir , Wang Zezhong , Liu Qihui
In recent years, there has been a worldwide growth in the exploitation of wind energy. In the wind power industry, the majority of grid-connected wind turbines are equipped with doubly fed induction generators (DFIGs) because of their advantages over other wind turbine generator (WTG) systems. Therefore, much research effort has gone into the issues of modeling, analysis, control and grid integration of DFIG wind turbines. This paper deals with the modeling, analysis, and simulation of a DFIG driven by a wind turbine. The grid connected wind energy conversion system (WECS) is composed of DFIG and two back to back PWM voltage source converters (VSCs) in the rotor circuit. A machine model is derived in an appropriate reference frame. The grid voltage oriented vector control is used for the grid side converter (GSC) in order to maintain a constant DC bus voltage, while the stator voltage oriented vector control is adopted in the rotor side converter (RSC) to control the active and reactive powers. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5205
Volume: 12
Issue: 6
Page: 4148-4156
Publish at: 2014-06-01

Distributed Receding Horizon Coverage Control by Multiple Mobile Robots

10.11591/ijra.v3i2.pp84-106
Fatemeh Mohseni , Ali Doustmohammadi , Mohammad Bagher Menhaj
This paper presents a distributed receding horizon coverage control algorithm to control a group of mobile robots having linear dynamics with the assumption that the robot dynamics are decoupled from each other. The objective of the coverage algorithm considered here is to maximize the detection of the occurrence of the events. First the authors introduce a centralized receding horizon coverage control and then they introduce a distributed version of it. To avoid the common disadvantages that are associated with the centralized approach, the problem is then decomposed into several RHCC problems, each associated with a particular robot, that are solved using distributed techniques. In order to solve each RHCC, each robot needs to know the trajectories of its neighbors during the optimization time interval. Since this information is not available, an algorithm is presented to estimate the trajectory of the neighboring robots. To minimize the estimation error, a compatibility constraint, which is also a key requirement in the closed-loop stability analysis, is considered. Moreover, the proof of the close-loop stability of this distributed version is provided and shows that the location of the robots will indeed converge to the centroids of a Voronoi partition. Simulation results validate the algorithm and the convergence of the robots to the centroidal Voronoi configuration.
Volume: 3
Issue: 2
Page: 84-106
Publish at: 2014-06-01

Design of Learning Model of Logic and Algorithms Based on APOS Theory

https://ijere.iaescore.com/index.php/IJERE/article/view/4468
Sulis Janu Hartati
This research questions are ‘how do the characteristics of learning model of logic & algorithm according to APOS theory’ and ‘whether or not these learning model can improve students learning outcomes‘.This research was conducted by exploration, and quantitative approach. Exploration used in constructing theory about the characteristic of the learning model of logic and algorithms based on APOS theory. The hypothesis tested was did the mean value of class by using learning model based on APOS theory greater than other class. The results showed that characteristics of learning model used APOS theory had achievement map of competency be classified into four levels. They are action; process; object; and scheme. Action is ability to understand concept by using external stimulus. Process is ability to think about the same action based on specific input and output. Object is ability to think about transformation on action and process, so that they can associate between action and process, process and process itself based on a specific output. Scheme is ability to construct relationship of action, process, object, and other concept to solve the problem in making business document. It is proven that mean value is greater than the other. Especially in lesson plan of action and process.DOI: http://dx.doi.org/10.11591/ijere.v3i2.5743
Volume: 3
Issue: 2
Page: 109-118
Publish at: 2014-06-01

Optimizing Hexapod Robot Reconfiguration using Hexa-Quad Transformation

10.11591/ijra.v3i2.pp139-150
Addie Irawan , Tan Yee Yin
This paper presents a leg reconfigurable technique to optimize the hexapod robot reconfiguration flexiblity. A hexapod-to-quadruped (Hexa-Quad) transformation technique is proposed to optimize hexapod legs on certain situation that need some legs to be disabled as a leg to do other tasks and operations. This proposed method used the factor of center of body (CoB) stability in the support polygon and its body shape. The reinitialized leg’s shoulder method is proposed to ensure the support polygon is balanced and confirmed the CoM nearly or at the center. This method is modeled and simulated in a real-time based model of hexapod robot with 4-DOF/leg control architecture. The model is verified in numerical model and presented using separated 3D simulators.
Volume: 3
Issue: 2
Page: 139-150
Publish at: 2014-06-01

Fuel Cell – Ultra Capacitor hybrid system for Grid Connected Applications

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3485
Vijaya Priya , D.P. Kothari , M. Kowsalya
Fuel cells are considered as one of the most promising devices for standalone/grid connected distributed generations due to its cleanliness, modularity and higher potential capability.  In the present energy scenario, Fuel cells combined with other renewable technologies are gaining attraction. This paper focuses on the combination of Fuel Cell (FC) and Ultra-Capacitor (UC) systems for sustained power generation.  Model of Proton Exchange Membrane (PEM) Fuel Cell have been developed in the MATLAB/Simulink Environment. To supply the required hydrogen moles, Electrolyzer model was developed.  Hydrogen storage tank was modeled such that the generated moles of hydrogen from the electrolyzer are stored in the storage tank and the fuel cell receives the required amount of hydrogen moles from the storage tank rather than the electrolyzer.  The combined system was synchronized to the grid and when the load demand exceeds the capacity of the fuel cell system, then the additional power is supplied by the grid thus ensuring continuity of supply to the load. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5052
Volume: 12
Issue: 6
Page: 4157-4165
Publish at: 2014-06-01
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