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27,404 Article Results

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

A Novel Path Planning for Robots Based on Rapidly-Exploring Random Tree and Particle Swarm Optimizer Algorithm

10.11591/ijra.v3i2.pp107-111
Zhou Feng
A based on Rapidly-exploring Random Tree(RRT) and Particle Swarm Optimizer (PSO) for path planning of the robot is proposed.First the grid method is built to describe the working space of the mobile robot,then the Rapidly-exploring Random Tree algorithm is used to obtain the global navigation path,and the Particle Swarm Optimizer algorithm is adopted to get the better path.Computer experiment results demonstrate that this novel algorithm can plan an optimal path rapidly in a cluttered environment.The successful obstacle avoidance is achieved,and the model is robust and performs reliably.
Volume: 3
Issue: 2
Page: 107-111
Publish at: 2014-06-01

An Improved NSGA-II Algorithm for Multi-objective Traveling Salesman Problem

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3520
Yabo Luo , Min Liu , Zhongxiao Hao , Dongbo Liu
Multi-objective traveling salesman problem (MOTSP) is an extended instance of traveling salesman problem (TSP), which is a well-known NP hard problem. In this paper, an improved NSGA-II algorithm (denoted by INSGA-II-MOTSP) is proposed to solve the MOTSP. Specifically, a layer strategy according to need is proposed to avoid generating unnecessary non-dominated fronts. The arena’s principle is also adopted to construct non-dominated set, so as to reduce the count of dominance comparison. In addition, an order crossover like operator and an inversion mutation operator are adopted for MOTSP. The experiment results show that the proposed INSGA-II-MOTSP algorithm is able to find better spread of solutions compared to other three algorithms. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5476
Volume: 12
Issue: 6
Page: 4413-4418
Publish at: 2014-06-01

A Preprocessing and Analyzing Method of Images in PDF Documents for Mathematical Expression Retrieval

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3543
Xuedong Tian , Botao Yu , Jing Sun
PDF documents are the important information resources for a mathematical expression retrieval system. As a major component of PDF documents, the image objects must be converted to coded form with the help of character recognition and document analysis technology firstly for content based searching. Therefore, the quality of these images becomes the key factor which decides the correctness in this conversion process. Considering the characteristics of PDF images and mathematical expressions, a preprocessing and analyzing method was proposed which includes the modules of PDF image extraction, graying, binarization, denoising, skew correction and layout parameter detection. The features of mathematical expressions were adequately considered to avoid the information loss in image converting process and the adverse interference both to the analysis and correction process resulted from formulas. The experimental results show that the method is effective in improving the accuracy and efficiency of document image recognition, analysis and retrieval. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5440
Volume: 12
Issue: 6
Page: 4579-4588
Publish at: 2014-06-01

System Analysis of a Hybrid Renewable Energy System

https://ijece.iaescore.com/index.php/IJECE/article/view/5580
Mohamed Najeh Lakhoua , Naoueli Walid , Chakroun Atef
Renewable energies are important components of sustainable development. Indeed, coupled with a rational use of energy, they reduce the use of conventional energy systems based on resources of fossil and fissile origin, and so therefore the pressures environmental and socio-economic use. Renewable energy aims to offer an energy service to our society at an acceptable price. But on the other hand, the cost of this service has an impact on the local economy, the environment and society in general. Compared to conventional solutions, enhancement of renewable energy creates more jobs, strengthens the local economy, reduces the environmental impact and reduces the lust on the stocks of energy and therefore it is a source of peace. In this paper, we are interested in the study of a hybrid renewable energy system: wind – photovoltaic – accumulator. The objective of this paper is to propose a novel approach of system analysis based on the OOPP method (Objective Oriented Project Planning) of a hybrid renewable energy system.DOI:http://dx.doi.org/10.11591/ijece.v4i3.5880
Volume: 4
Issue: 3
Page: 343-350
Publish at: 2014-06-01

Realization of Programmable BPSK Demodulator-Bit Synchronizer using Multirate Processing

https://ijece.iaescore.com/index.php/IJECE/article/view/5596
Anshuman Sharma , Abdul Hafeez Syed , Midhun M , M R Raghavendra
This paper presents the design and implementation of programmable BPSK demodulator and bit synchronizer. The demodulator is based on the Costas loop design whereas the bit synchronizer is based on Gardner timing error detector. The advantage of this design is that it offers programmability using multi-rate processing and does not rely on computation of filter coefficients, NCO angle input for each specific data rate and thus avoids computational complexities. The algorithm and its application were verified on Matlab-Simulink and was implemented on ALTERA platform. A 32 kHz BPSK demodulator–bit synchronizer pair catering for data rates from 1 kbps to 8 kbps was implemented.DOI:http://dx.doi.org/10.11591/ijece.v4i3.5561
Volume: 4
Issue: 3
Page: 433-440
Publish at: 2014-06-01

Design of Fuzzy Optimized Controller for Satellite Attitude Control by Two State actuator to reduce Limit Cycle based on Takagi-Sugeno Method

https://ijece.iaescore.com/index.php/IJECE/article/view/5574
Sobutyeh Rezanezhad
In this paper, an algorithm was presented to control the satellite attitude in orbit in order to reduce the fuel consumption and increase longevity of satellite. Because of proper operation and simplicity, fuzzy controller was used to save fuel and analyze the uncertainty and nonlinearities of satellite control system. The presented control algorithm has a high level of reliability facing unwanted disturbances considering the satellite limitations. The controller was designed based on Takagi-Sugeno satellite dynamic model, a powerful tool for modeling nonlinear systems. Inherent chattering related to on-off controller produces limit cycles with low frequency amplitude. This increases the system error and maximizes the satellite fuel consumption. Particle Swarm Optimization (PSO) algorithm was used to minimize the system error. The satellite simulation results show the high performance of fuzzy on-off controller with the presented algorithm.DOI:http://dx.doi.org/10.11591/ijece.v4i3.5831
Volume: 4
Issue: 3
Page: 303-313
Publish at: 2014-06-01

Two Novel Retinal Blood Vessel Segmentation Algorithms

https://ijece.iaescore.com/index.php/IJECE/article/view/5590
Razieh Akhavan , Karim Faez
Assessment of blood vessels in retinal images is an important factor for many medical disorders. The changes in the retinal vessels due to the pathologies can be easily identified by segmenting the retinal vessels. Segmentation of retinal vessels is done to identify the early diagnosis of the disease like glaucoma, diabetic retinopathy, macular degeneration, hypertensive retinopathy and arteriosclerosis. In this paper, we propose two automatic blood vessel segmentation methods. The first proposed algorithm starts with the extraction of blood vessel centerline pixels. The final segmentation is obtained using an iterative region growing method that merges the contents of several binary images resulting from vessel width dependent modified morphological filters on normalized retinal images. In the second proposed algorithm the blood vessel is segmented using normalized modified morphological operations and neuro fuzzy classifier. Normalized morphological operations are used to enhance the vessels and neuro fuzzy classifier is used to segment retinal blood vessels. These methods are applied on the publicly available DRIVE database and the experimental results obtained by using green channel images have been presented and their results are compared with recently published methods. The results demonstrate that our algorithms are very effective methods to detect retinal blood vessels.DOI:http://dx.doi.org/10.11591/ijece.v4i3.5829
Volume: 4
Issue: 3
Page: 398-410
Publish at: 2014-06-01

Research on the Public Transport Network Based on Complex Network

10.11591/ijeecs.v12.i6.pp4833-4839
Dan Wang , Beilei Li , Jiayang Li , Changtong Li , Liyong Wang
The public transport infrastructure of a city is one of the most important indicators of its economic growth and development. Here we investigate the statistical properties of the public transport network in Shenyang to explore its various properties based on complex network theory. The statistical properties of the public transport system consist of the degree of a node, the average shortest path length, the clustering coefficient of a node, the average clustering coefficient, and the degree distribution. In contrast with the small world evolution model, we find that the public transport system of Shenyang, a network of public transportation routes connected by bus links, is a small-world network characterized by a Poisson degree distribution. Simulation results show that the public transport network exhibits small world behavior with N=148.
Volume: 12
Issue: 6
Page: 4833-4839
Publish at: 2014-06-01

Underground Image Denoising

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3523
Zhang Ye , Jia Meng
A Mixed Window Shrink and BayesShrink Image Denoising Algorithm Based on Curve let Transform is proposed in this paper. Curve let transform is effective in presenting line and surface property of image. In the proposed algorithm, Curvelet transform is employed for the first stage, then according the theory of image demising method based on Wavelet transform, we combine Window Shrink and BayesShrink denoising algorithm to perform noise reduction. Experiment results show that the proposed algorithm is competitive to Wavelet transform in terms of Peak Signal to Noise Ratio (PSNR) and denoising image quality.  DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5479
Volume: 12
Issue: 6
Page: 4438-4443
Publish at: 2014-06-01

A Novel Clustering Routing Protocol in Wireless Sensor Network

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3503
Wu Rui
The phenomenon of network resource-constrained often appears in wireless sensor network (WSN) because of nodes with energy-limited, so it becomes a research topic to study on high-performance routing protocol in wireless sensor network. In accordance with the characteristic of quantum particle swarm optimization (QPSO), a novel clustering routing protocol with QPSO algorithm is proposed based on the low energy adaptive clustering hierarchy (LEACH), which includes several steps, such as determining the number of cluster-head, preliminary clustering, optimization on temporary cluster by QPSO algorithm, clustering after optimization, and so on. Comparative analysis on simulation experiments show that the proposed routing protocol is superior to that of LEACH, and saves energy consumption of network excellently and balances energy of nodes so as to prolong the life of the network.DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5533
Volume: 12
Issue: 6
Page: 4283-4289
Publish at: 2014-06-01

Availability Analysis of Predictive Hybrid M-Out-of-N Systems

10.12928/telkomnika.v12i2.60
Abbas; Islamic Azad University Karimi , Faraneh; Islamic Azad University Zarafshan , S.A.R; Universiti Putra Malaysia Al-Hadad
In m-out-of-n system, if m-out-of-n modules agree, system can report consensus; otherwise, the system fails. On the other hand, in predictive hybrid system if there is no agreement, a history record of previous successful result(s) is used to predict the output. In order to analyze the availability of predictive hybrid redundancy system, Markov modeling is utilized. By using Markov model of the system in steady state, the availability is derived and compared with m-out-of-n system. The results of simulation demonstrated that the availability of predictive hybrid system is higher than m-out-of-n system especially for large m.
Volume: 12
Issue: 2
Page: 437-446
Publish at: 2014-06-01

ARFMS: An AR-based WYSIWYG Filmmaking System

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3511
Chen Ling , Wenjun Zhang
This paper proposes a novel “What You See Is What You Get” filmmaking system, called as ARFMS. It provides users with a low cost and easy to use system to make movies. Users cannot only real-time visualize the performance with computer-generated objects, but also visual effects films will be finished without post-production. After finished the screenplay, the performance will be shot on-site using an ordinary camera. CG objects will be simply and effectively controlled by natural interaction. Then users can apply the DR-marker just like an actual scene element, because it takes the advantages of marker-based and markerless-based registration approaches. This paper implements ARFMS to achieve pre-visualization and real-time finish the film using augmented reality technology. The user can perform with the CG character and stage property just like real ones. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.4582
Volume: 12
Issue: 6
Page: 4345-4352
Publish at: 2014-06-01
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