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23,598 Article Results

Development of Wireless Smart Sensor for Structure and Machine Monitoring

10.12928/telkomnika.v11i2.944
Achmad; Diponegoro University Widodo , Latief; Diponegoro University Rozaqi , Ismoyo; Diponegoro University Haryanto , Djoeli; Diponegoro University Satrijo
Vibration based condition monitoring is a method used for determining the condition of a system. The condition of mechanical or a structural system can be determined from the vibration. The vibration that is produced by the system indicates the condition of a system and possibly used to calculate the lifetime of a system or even used to take early action before fatal failure occurred. This paper explains how the wireless smart sensor can be used to identify the health condition of a system by monitoring the vibration parameters. The wireless smart sensor would continuously  senses the vibration parameters of the system in a real-time systems and then data will be transmitted wirelessly  to a base station which is a host PC used for digital signal processing, from there the vibration will be plotted as a graph which used to analyzed the condition of the system. Finally, several tested performed to the real system to verify the accuracy of a smart sensor and the method of condition based monitoring. 
Volume: 11
Issue: 2
Page: 417-424
Publish at: 2013-06-01

Machine Learning to Design Full-reference Image Quality Assessment Algorithm

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2380
Wang Yu Ling , Yang Hu
A crucial step in image compression is the evaluation of its performance, and more precisely, available ways to measure the quality of compressed images. In this paper, based on a learned classification process in order to respect human observers， a method namely Machine Learning-based Image Quality Measure (MLIQM) is proposed，which classifies the quality using multi-Support Vector Machine (SVM) classification according to the quality scale recommended by the ITU. Then, the classification process is performed to provide the final quality class of the considered image. Finally, once a quality class is associated to the considered image, a specific SVM regression is performed to score its quality. Obtained results are compared with the one obtained applying classical Full-Reference Image Quality Assessment (FR-IQA) algorithms to judge the efficiency of the proposed method. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2716
Volume: 11
Issue: 6
Page: 3439-3444
Publish at: 2013-06-01

Curve Fitting And Interpolation Model Applied In Nonel Dosage Detection

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2375
Jiuling Li , Quanjie Gao , Lei Peng , Liping Song
The Curve Fitting and Interpolation Model are applied in Nonel dosage detection in this paper firstly, and the gray of continuous explosive in the Nonel has been forecasted. Although the traditional infrared equipment establishes the relationship of explosive dosage and light intensity, but the forecast accuracy is very low. Therefore, gray prediction models based on curve fitting and interpolation are framed separately, and the deviations from the different models are compared. Simultaneously, combining on the sample library features, the cubic polynomial fitting curve of the higher precision is used to predict grays, and 5mg-28mg Nonel gray values are calculated by MATLAB. Through the predictive values, the dosage detection operations are simplified, and the defect missing rate of the Nonel are reduced. Finally, the quality of Nonel is improved. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2706
Volume: 11
Issue: 6
Page: 3407-3413
Publish at: 2013-06-01

Modeling And Control Of Excitation And Governor Based On Particle Swarm Optimization For Micro Hydro Power Plant

10.12928/telkomnika.v11i2.929
Muhamad; Universitas Islam Sultan Agung (UNISSULA), Institut Teknologi Sepuluh Nopember (ITS) Haddin , Soebagio; Institut Teknologi Sepuluh Nopember (ITS) Soebagio , Adi; Institut Teknologi Sepuluh Nopember (ITS) Soeprijanto , Mauridhi Hery; Institut Teknologi Sepuluh Nopember (ITS) Purnomo
This paper presents the modeling and control of the excitation system via the automatic voltage regulator (AVR) and governor system through the automatic generation control (AGC) or frequency load control (FLC) to improve stability on a micro hydro power plant (MHPP). Three main parts of the generation system are synchronous generator, AVR-excitation, AGC modelled linearly. Generator is modelled by a single machine connected to infinite bus (SMIB) which is equipped by AVR and excitation linear model. Excitation control system made by optimizing the gain of the AVR (KA) and the governor with the gain of the AGC (Ki). Optimization is done using the method improved particle swarm optimization (IPSO). The main purpose of setting the gain of the AVR-AGC is to stabilize the oscillation frequency of the MHPP which is connected to an infinite bus. Simulations are conducted by inputting step function with 5% load fluctuations as a representation of dynamic load. The simulation results show that the proposed method effectively raises the level  of electromechanical damping oscillations the SMIB by generating the comprehensive damping index (CDI) is minimum. 
Volume: 11
Issue: 2
Page: 297-304
Publish at: 2013-06-01

Using the Reputation Score Management for Constructing Fair P2P File Sharing System

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2346
Jun Han , Shufang Zhang
This paper has used the reputation score management for constructing a fair P2P file sharing system, the system design principle is simple and easy to realize, and every node entering into the P2P network obtains a certain reputation score, and obtains the corresponding resources reward according to the score. This paper has described the fair sharing strategies facing node network bandwidth and TTL, and these strategies can be used independently or be combined with other reputation score managements of P2P network. These two strategies have been discussed in the specific reputation score management system of P2P network Eigen Trust, and the test results indicate that: compared with a common P2P network, the fair sharing strategies of this paper have faster file download speed and can decrease the network message communication amount during the process looking for resources. It can also be combined with another reputation management system. it is simple and easy to be realized, its main purposes are to fairly share network bandwidth and to decrease information communication volume, and it can suppress the free riding behavior to some extent. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2669
Volume: 11
Issue: 6
Page: 3200-3205
Publish at: 2013-06-01

Research of ELCV 3D Localization Algorithm in Ship Area Networks

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2373
Liu Yang , Xiao Hairong , Wu Hua , Wu Xiaoming , Zhong Linghui , Xing Jinaping , Zhang Hui
We propose a 3D localization algorithm used in ship area networks (SANs) in the literature before. In this paper in order to explore more performances of ELCV we made some other comprehensive simulations. In ELCV a classic noise model is introduced to characterize the acoustic background noise observed in SANs. Meanwhile random communication range nodes are placed in the SANs. ELCV is addressed to provide robust estimation of unknown nodes in the presence of outliers. In this algorithm sensor nodes are also equipped with random communication range that can be changed during a set scope. With ELCV, each individual unknown node will acquire data packages from anchors and then solve for a spatial node on some given point in cube space formed by eight neighbor anchors. With other three related anchor nodes around symmetric tetrahedron can be formed. Finally by centroid algorithm, in this symmetric tetrahedron, estimated node positions with accuracy and robustness are obtained. In this work more parameters are changed and different environment arguments are taken into account and then simulation results are given. By these simulation results we further prove the accuracy, efficiency and robustness in SANs. Meanwhile simulation processes are finished in MATLAB software. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2704
Volume: 11
Issue: 6
Page: 3391-3397
Publish at: 2013-06-01

Interference Potential of FSS and BWA on the Extended C-Band

10.12928/telkomnika.v11i2.939
Lydia; University of Indonesia Sari , V. Windha; University of Indonesia Mahyastuty
The Indonesian government has allocated the 3.3-3.4 GHz band, which is adjacent to the extended C-band 3.4-3.7 GHz, for Broadband Wireless Access (BWA) services. The country has been using the extended C-band for Fixed Satellite Service (FSS). This research shows the interference potential between the two systems if an adjacent band is allocated for them. Using a clutter loss of 10 dB and site shielding of 40 dB, a BWA network consisting of 57 base-stations will potentially intefere an FSS with probability 56.16% if the protection distance used is 1.55 km. The interference potential will decrease to 0% if the protection distance is increased to 3 km. With a BWA network consisting of 20 base-stations, the interference probability is 10.72% and 0% for a protection distance of 1.55 km and 2 km, respectively.  With this interference potential it is urgent that Indonesia enforces interference mitigation techniques to protect FSS from disruptive interference.
Volume: 11
Issue: 2
Page: 373-380
Publish at: 2013-06-01

Using Variable Perturbation Method to Study the Stability of Torsional Self-Excited Vibration in Main Drive System of Rolling Mill

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2368
Fenglan Wang
The self-excited vibration of blooming mill is a kind of torsional vibration, which occurs only when the rolling machine slips under appropriate conditions. Once in place, this may cause the larger peak pressure of each component in the main drive system; reduce the service life of the components, cause components′ damage directly. A large number of studies have shown that, at present there are not effective methods for diagnosis, monitoring of slipping and take proper measures in time to stop slipping so as to avoid the occurrence of malignant accidents. In this paper, author set out from another angle, take the main drive system of rolling mill as an example, to study stability of self-excited vibration. The conditions of the stable vibration are gained. By combining with the actual working conditions of blooming mill, author has put forward some effective measures to meet the stable conditions in order to make the blooming mill work in the stable state. Practice research has proved that the effective measures can contribute to reduce structural damage directly caused by the torsional vibration when “slipping” phenomenon occurred and to extend the service life of the components. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2699
Volume: 11
Issue: 6
Page: 3355-3360
Publish at: 2013-06-01

A New Hybrid Power Configuration In HEV and Its Driving BLDC Development

10.12928/telkomnika.v11i2.918
Yanliang Xu; Shandong University Yanliang Xu , Changfeng Li; Shandong University Changfeng Li
Hybrid electric vehicle (HEV) that has the advantages of high performance, high fuel efficiency, low emission, and long operating range is focused on nowadays. A new hybrid power configuration used in HEV is presented with different control strategies and HEV performances when equipping different weight of fuel power and battery one. In order to realize the new hybrid power configuration especially in the refitted HEV, fractional-slot concentrated-winding BLDC with higher rated spinning speed is given and the prototyped one is developed and fabricated which satisfies successfully the requirements of high performance and demission restriction for the refitted HEV.
Volume: 11
Issue: 2
Page: 257-264
Publish at: 2013-06-01

Study on BSS Algorithm used on Fault Diagnosis of Gearbox

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2309
Yu Chen , Jintao Meng
The gearbox is a complicated rotating machinery equipment, in order to realize the gearbox fault early detection and prevention, it is the key to carry out the online diagnosis. This paper used the adaptive variable step-length natural gradient blind source separation algorithm to realize the helicopter gearbox meshing vibration signal and fault vibration signal effective separation. Through the algorithm simulation, the accuracy of the algorithm gained the verification and the separation error trended to zero, which has higher separation precision. This algorithm can realize the complicated mechanical vibration signal blind source separation and fault diagnosis, which has a broad application prospect. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2260
Volume: 11
Issue: 6
Page: 2942-2947
Publish at: 2013-06-01

An Intelligent Job Scheduling System for Web Service in Cloud Computing

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2311
Jing Liu , Xing Guo Luo , Bai Nan Li , Xing Ming Zhang , Fan Zhang
Cloud computing is a new computing and business paradigm with flexible and powerful computational architecture to offer universal services to users via Internet. Web service is one of the most active and widely adopted implementation in cloud computing. The performance of the scheduling system influences the benefits of both sides in this computing paradigm. In this paper, we present an intelligent scheduling system for web service, which considers both the requirements of different service requests and the circumstances of the computing infrastructure which consists of various resources. We have validated our hardware based server WSVP by conducting a performance comparison to the traditional Apache and Nginx servers. The results demonstrate that our WSVP equipped with intelligent scheduling system has immense potential as it offers better performance while consumes much lower energy.DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2118
Volume: 11
Issue: 6
Page: 2956-2961
Publish at: 2013-06-01

Guideline for the Graphic Design of Web Application for Children’s Interface

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2336
Tengku Siti Meriam Tengku Wook , Siti Salwah Salim
There have been numerous studies done on the guidelines of user interface, but only a number of them have considered specific guidelines for the design of children’s interface. This paper is about a research on the specific guidelines for children, focusing on the criteria of graphic design. The objective of this research is to study on the guidelines of user interface design and to develop specific guidelines on children’s graphic design. The criteria of graphic design are the priority of this research since previous research have proven that graphic design is the main factor which contributes to the problem of usability of web application interfaces, in terms of the overall graphic layout not being in a hierarchical order, not taken into concern the availability of space, inappropriate margin, improper type and font size selection, and less concentration on the use of the colours. The research methodology makes use of the comparison of and the coordination to the guidelines on children’s interface and the specific guidelines on the graphic design of web application interfaces. The contribution of this research is the guidelines on the design of web application graphics which are specifically for children. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2658
Volume: 11
Issue: 6
Page: 3130-3133
Publish at: 2013-06-01

Research on the Prediction of VNN Neural Network Traffic Flow Model Based on Chaotic Algorithm

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2341
Yin Lisheng , He Yigang , Dong Xueping , Lu Zhaoquan
This paperresearches on the prediction of traffic flow chaotic time series based on VNNTF neural network. First, the traffic flow time series chaotic feature is extracted by chaos theory. Pretreatment for traffic flow time series and the VNNTP neural networks model was build by this. Second, principles of neural network learning algorithm VNNTF is described. Based on chaotic learning algorithm, the neural network traffic Volterra learning algorithm isdesigned for fast learning algorithm. Last, a single-step prediction of traffic flow chaotic time series is researched by VNNTF network model based on chaotic algorithm. The results showed that the VNNTF network model predictive performance is better than the Volterra prediction filter and the BP neural network   by the simulation results and root-mean-square value. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2664
Volume: 11
Issue: 6
Page: 3165-3171
Publish at: 2013-06-01

Lung Nodule Detection in CT Images using Neuro Fuzzy Classifier

10.12928/telkomnika.v11i2.934
Anam; National University of sciences & Technology Tariq , M. Usman; Bahria University Akram
Automated lung cancer detection using computer aided diagnosis (CAD) is an important area in clinical applications. As the manual nodule detection is very time consuming and costly so computerized systems can be helpful for this purpose. In this paper, we propose a computerized system for lung nodule detection in CT scan images. The automated system consists of two stages i.e. lung segmentation and enhancement, feature extraction and classification. The segmentation process will result in separating lung tissue from rest of the image, and only the lung tissues under examination are considered as candidate regions for detecting malignant nodules in lung portion. A feature vector for possible abnormal regions is calculated and regions are classified using neuro fuzzy classifier. It is a fully automatic system that does not require any manual intervention and experimental results show the validity of our system.
Volume: 11
Issue: 2
Page: 331-336
Publish at: 2013-06-01

Hybrid Collision Culling by Bounding Volumes Manipulation in Massive Rigid Body Simulation

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2334
Norhaida Mohd Suaib , Abdullah Bade , Dzulkifli Mohamad
Collision detection is an important aspect in many real-time simulation environments.  Due to its nature of high Computation involved, collision detection can contribute to the bottleneck on the system involving large number of interacting objects.  This paper focuses on finding options to efficiently cull away object pairs that are not likely to collide in large-scale dynamic rigid-body simulations involving n-body objects.  The main idea is to perform time critical computing concept by manipulation of potential bounding volume techniques.  In order to take advantage of a fast collision test and a more accurate result, a hybrid collision culling approach based on sphere - or-Dops was used.  Based on initial results, this approach shows a potential adaptation to a massive rigid body simulation. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2656
Volume: 11
Issue: 6
Page: 3115-3122
Publish at: 2013-06-01
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