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28,451 Article Results

Sparsity Properties of Compressive Video Sampling Generated by Coefficient Thresholding

10.12928/telkomnika.v12i4.296
Ida Wahidah; Institut Teknologi Bandung Hamzah , Tati Latifah; Institut Teknologi Bandung R. Mengko , Andriyan; Institut Teknologi Bandung B. Suksmono , Hendrawan; Institut Teknologi Bandung Hendrawan
We study the compressive sampling (CS) and its application in video encoding framework. The video input is firstly transformed into suitable domain in order to achieve sparser configuration of coefficients. Then, we apply coefficient thresholding to classify which frames to be sampled compressively or conventionally. For frames chosen to undergo compressive sampling, the coefficient vectors will be projected into smaller vectors using random measurement matrix. As CS requires two main conditions, i.e. sparsity and matrix incoherence, this research is emphasized on the enhancement of sparsity property of the input signal. It was empirically proven that the sparsity enhancement could be reached by applying motion compensation and thresholding to the non-significant coefficient count. At the decoder side, the reconstruction algorithm can employ basis pursuit or L1 minimization algorithm.
Volume: 12
Issue: 4
Page: 897-904
Publish at: 2014-12-01

A Novel Technique for Vector Control of Single-Phase Induction Motors Based on Rotor Field-Oriented Control

10.11591/ijeecs.v12.i12.pp8104-8113
Mohammad Jannati , Sajad Abdollahzadeh Anbaran , Nik Rumzi Nik Idris , Mohd Junaidi Abdul Aziz
Due to asymmetrical characteristics of single-phase IMs, conventional vector control methods for three-phase IMs cannot be directly applied to single-phase IMs. This study aims to improve performance of the single-phase IMs drive system. Hence, a novel control approach based on Rotor Field-Oriented control (RFOC) was developed for single-phase IMs. For this purpose, transformation matrices are applied to the machine equations. It is shown by applying these transformation matrices to the unbalanced equations of single-phase IM results in set of balanced equations with backward and forward components. Therefore, by some modifications in the conventional RFOC method for three-phase IM, vector control of single-phase IM can be done. The proposed method demonstrates reasonably good speed and torque responses with satisfactory tracking capability. It is shown the effect of using this supposition is reflected on the motor torque and hence speed oscillations. Due to good tracking capability of proposed drive system, this control technique can be a well-suited candidate for application where precise move of IM in required such as cutting, knurling and deformation processes.
Volume: 12
Issue: 12
Page: 8104-8113
Publish at: 2014-12-01

Pre-Timed and Coordinated Traffic Controller Systems Based on AVR Microcontroller

10.12928/telkomnika.v12i4.497
Freddy; Department of Electrical Engineering, Sekolah Tinggi Teknologi Adisutjipto Kurniawan , Denny; Department of Electrical Engineering, Sekolah Tinggi Teknologi Adisutjipto Dermawan , Okto; Department of Mechanical Engineering, Sekolah Tinggi Teknologi Adisutjipto Dinaryanto , Mardiana; Department of Informatics Engineering, Sekolah Tinggi Teknologi Adisutjipto Irawati
The major weaknesses of traffic controllers in Indonesia are unable to accommodate the variety of traffic volume and unable to be coordinated. To solve the problem, a pre-timed and coordinated traffic controller system is build. The system consists of a master and a local controller. Each controller has a database containing signal-timing plans that would be allocated to manage vehicle flows. To synchronize the signal-timing, the master controller sends the synchronization data to the local controller wirelessly and the local controller shifts the end of a cycle by adding or subtracting the green interval of any phases. The transition time for synchronization only takes one to several cycles. The algorithm for controlling the traffic including coordination can be done by an AVR microcontroller. Memory usage of the microcontroller is lower than 10% meanwhile the CPU utilization is no more than 1%, thus the systems could be widely developed.
Volume: 12
Issue: 4
Page: 787-794
Publish at: 2014-12-01

A Design and Analysis of Voltage Source Inverters for Renewable Energy Applications

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3926
M. Murali , Arulmozhiyal Arulmozhiyal , P Sundaramoorthy
The paper proposes design of voltage source inverters for renewable energy applications such as HEV. The wind and solar are growing energy sources to world this sources to be converted alternating one for grid interfacing.  Conventional inverters are electronic thyristor which has some drawbacks.  To improve its efficiency and performance MOSFET based inverters using controllers has been designedusing PIC controllers. In this project the hardware details of three phases, 50Hz, 60W, 180 degree conduction mode of VSI output waveforms under various load conditions were presented and discussed. This paper will be a significant contributes for   forthcoming development of Hybrid Electric Vehicle (HEV).In which Voltage source inverters is operation is performed in Single PIC microcontroller.  http://dx.doi.org/10.11591/telkomnika.v12i12.6893 
Volume: 12
Issue: 12
Page: 8114-8119
Publish at: 2014-12-01

Performance Indicators for Wireless Intelligent Sensors Applications

10.11591/ijict.v3i3.pp129-143
Saad Chakkor
The metrology technology has been evolved so much with the wireless sensor intelligent systems providing more capabilities in term of processing, remote multi-sensing fusion and storage. This kind of systems can be used in many types of environments. The monitoring is one of the most used.  However, various design challenges for wireless intelligent sensors systems are imposed to overcome the physical limitations. Communication in sensor network should be as efficient as possible, especially for applications requiring specific performances. This paper analyzes the performance indicators of the sensing devices systems which stand for superior measurement, more accuracy and reliability. Study findings prescribe researchers, developers/ engineers and users to realizing an enhanced sensing motes design strategy that offers operational advantages which can give cost-effective solutions for an application.
Volume: 3
Issue: 3
Page: 129-143
Publish at: 2014-12-01

Fast Data Acquisition of Aerial Images Using Unmanned Aerial Vehicle System

10.11591/ijict.v3i3.pp162-170
Norhadija Darwin , Anuar Ahmad
The present work discusses the technique and methodology of analysing the potential of fast data acquisition of aerial images using unmanned aerial vehicle system. This study utilizes UAV system for large scale mapping by using digital camera attached to the UAV. UAV is developed from the low-altitude photogrammetric mapping to perform the accuracy of the aerial photography and the resolution of the image. The Ground Control Points (GCPs) and Check Points (CPs) are established using Rapid Static techniques through GPS observation for registration purpose in photogrammetric process. The GCPs is used in the photogrammetric processes to produce photogrammetric output while the CP is employed for accuracy assessment. A Pentax Optio W90 consumer digital camera is also used in image acquisition of the aerial photograph. Besides, this study also involves image processing and map production using Erdas Imagine 8.6 software. The accuracy of the orthophoto is determined using the equation of Root Mean Square Error (RMSE). The final result from orthophoto is compared to the ground survey using total station to show the different accuracy of DEM and planimetric survey. It is discovered that root mean square errors obtained from UAV system are ± 0.510, ± 0.564 and ± 0.622 for coordinate x, y and z respectively. Hence, it can be concluded that the accuracy obtained from UAV system is achieved in sub meter. In a nutshell, UAV system has potential use for large scale mapping in field of surveying and other diversified environmental applications especially for small area which has limited time and less man power.
Volume: 3
Issue: 3
Page: 162-170
Publish at: 2014-12-01

Modeling and Simulation of Grid Interfaced Synchronous Generator with Controller

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3924
S. Sridharan , N. Manonmani
The increasing demand of electric power necessitates the establishment of new generating stations. Wind energy conversion system (WECS) is more attractive due to its mature and clean aspects. The wind turbine driven with permanent magnet synchronous generator (PMSG) feeds ac power to utility grid. For this purpose two voltage source converters are connected back to back between rotor terminals and grid via common dc link. In order to satisfy the grid code requirements such as grid stability, power quality improvement, and power control this machine is usually used. In this paper the complete mathematical modelling and simulation of wind turbine driven PMSG has been done. The stator and rotor of PMSG is connected to the grid  through back to back connected two voltage source converters with a common DC link. The total system is modeled and simulated for better power quality and is capable of harnessing maximum power at various wind speeds. A new control strategy known as perturb and observation (P&O) controller is introduced in WECS for maximum power point tracking (MPPT) to improve the system operation. The simulation is done in MATLAB Simulink environment.  http://dx.doi.org/10.11591/telkomnika.v12i12.6884 
Volume: 12
Issue: 12
Page: 8098-8103
Publish at: 2014-12-01

Wireless Sensor Based Hybrid Architecture for Vehicular Ad hoc Networks

10.12928/telkomnika.v12i4.537
Kashif Naseer; Universiti Teknologi Malaysia Qureshi , Abdul Hanan; Universiti Teknologi Malaysia Abdullah , Raja Waseem; Universiti Teknologi Malaysia Anwar
A vehicular Ad hoc network is an emerging and widely adopted technology because of their potentiality for innovative applications in transportation sector. Recently, the technology has been faced various challenges and rely on expensive architecture. The implementation of Wireless Sensor Network (WSN) in vehicular networks reduces the required investment and improves intelligent applications performance for driving safety and traffic efficiency. In this paper, we propose a wireless sensor based hybrid architecture for navigation systems for vehicular Ad hoc networks. The architecture is suitable for mountain range roads, where vehicles cannot communication properly. The propose architecture is used to exchange and perceive roadside information and helpful in navigation decision process and for alert messages.
Volume: 12
Issue: 4
Page: 942-949
Publish at: 2014-12-01

Diagnostic Study Based on Wavelet Packet Entropy and Wear Loss of Support Vector Machine

10.12928/telkomnika.v12i4.305
Yunjie; Zhejiang Agricultural & Forestry University Xu , Shudong; Zhejiang Agricultural & Forestry University Xiu
Against the problems, the ratio of signal to noise of bearing wear is low, the feature extraction is difficult, there are few fault samples and it is difficult to establish the reliable fault recognition model, the diagnostic method is put forward based on wavelet packet features and bearing wear loss of SVM. Firstly, choose comentropy with strong fault tolerance as characteristic parameter, then through wavelet packet decomposition, extract feature entropy of wavelet packet in fault sensitivity band as input vector and finally, apply the Wrapper method of least square SVM to choose optimal character subset. The application in actual bearing fault diagnosis indicates the effectiveness of the proposed method in the article.
Volume: 12
Issue: 4
Page: 847-854
Publish at: 2014-12-01

Single Axis Automatic Solar Tracking System Using Microcontroller

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3915
Soumya Das , Pradip Sadhu , Nitai Pal , Suprotim Mukherjee
Solar power generation had been employed as a renewable energy for years ago. Residents that uses solar power as their alternative power supply will bring benefits to them. The main objective of this paper is to develop a microcontroller-based solar panel tracking system which will keep the solar panels aligned with the Sun in order to maximize in harvesting solar power. When the intensity of light is decreasing, this system automatically changes its direction to get maximum intensity of light.Light dependent photo  resistors are used as the sensors of the solar tracker. For rotating the appropriate position of the panel, a steper motor is used. This design is covered for a single axis and is designed for residential use. Finally, the project is able to track and follow the Sun intensity in order to get maximum power at the output regardless motor speed. http://dx.doi.org/10.11591/telkomnika.v12i12.6742 
Volume: 12
Issue: 12
Page: 8028-8032
Publish at: 2014-12-01

A Novel Intrusion Detection Approach using Multi-Kernel Functions

10.12928/telkomnika.v12i4.889
Lijiao; Yiwu Industrial & Commercial College Pan , Weijian; Yiwu Industrial & Commercial College Jin , Jun; Yiwu Industrial & Commercial College Wu
Network intrusion detection finds variant applications in computer and network industry. How to achieve high intrusion detection accuracy and speed is still received considerable attentions in this field. To address this issue, this work presents a novel method that takes advantages of multi-kernel computation technique to realize speedy and precise network intrusion detection and isolation. In this new development the multi-kernel function based kernel direct discriminant analysis (MKDDA) and quantum particle swarm optimization (QPSO) optimized kernel extreme learning machine (KELM) were appropriately integrated and thus form a novel method with strong intrusion detection ability. The MKDDA herein was firstly employed to extract distinct features by projecting the original high dimensionality of the intrusion features into a low dimensionality space. A few distinct and efficient features were then selected out from the low dimensionality space. Secondly, the KELM was proposed to provide quick and accurate intrusion recognition on the extracted features. The only parameter need be determined in KELM is the neuron number of hidden layer. Literature review indicates that very limited work has addressed the optimization of this parameter. Hence, the QPSO was used for the first time to optimize the KELM parameter in this paper. Lastly, experiments have been implemented to verify the performance of the proposed method. The test results indicate that the proposed LLE-PSO-KELM method outperforms its rivals in terms of both recognition accuracy and speed. Thus, the proposed intrusion detection method has great practical importance.
Volume: 12
Issue: 4
Page: 1088-1095
Publish at: 2014-12-01

Guidelines to Establish Secure Structure in Communication Networks used in the Smart Grid

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3914
Siamak Rezaei
Currently, an extensive worldwide movement to implement electrical Smart Grid and replacing traditional grids has been started. In the past, since each electrical grid was usually using its specific systems and protocols, the possibility of system penetration and consequently security concerns was in low levels. But in recent years, with implementation of electrical Smart Grid, using open standards and popular network protocols, such as the technology which is used in the Internet (Internet Protocol), in electrical Smart Grids has been considered. This is due to advantages like efficiency, accessibility and low cost of these technologies. But, on the other hand, this increases the security concerns. Thus, selecting the appropriate communication mechanism for Smart Grid, is one of the most important challenges. Therefore, in this paper we introduce and study traditional communication networks in Smart Grids and discuss security capabilities of them. http://dx.doi.org/10.11591/telkomnika.v12i12.6725 
Volume: 12
Issue: 12
Page: 8022-8027
Publish at: 2014-12-01

Prediction and Realization of DO in Sewage Treatment Based on Machine Vision and BP Neural Network

10.12928/telkomnika.v12i4.437
Liu; Hebei United University Liping , Sunjin; Hebei United University Sheng , Yin; Hebei Energy College of Vocation and Technology Jing-tao , Liang; Hebei United University Na
Dissolved Oxygen (DO) is one of the most important parameters describing biochemical process in wastewater treatment. It is usually measured with dissolved oxygen meters, and currently galvanic and polarographic electrodes are the predominant methods. Expensive, membrane surface inactivation, and especially need of cleaning and calibrating very frequently are common disadvantages of electrode-type measuring sensors. In our work, a novel method for Prediction and Realization dissolved oxygen based-on Machine Vision and BP Neural Network was researched. Pictures of the water-body surface in aeration basins are captured and transformed into HSI space data. These data plus the correspondent measured DO values are processed with a neural network. Using the well-trained neural network, a satisfied result for classifying dissolved oxygen according to the water-body pictures has been realized.
Volume: 12
Issue: 4
Page: 890-896
Publish at: 2014-12-01

Image Deblurring via an Adaptive Dictionary Learning Strategy

10.12928/telkomnika.v12i4.532
Lei; Beijing Forestry University Li , Ruiting; Beijing Technology and Business University Zhang , Jiangmin; Beijing Forestry University Kan , Wenbin; Beijing Forestry University Li
Recently, sparse representation has been applied to image deblurring. The dictionary is the fundamental part of it and the proper selection of dictionary is very important to achieve super performance. The global learned dictionary might achieve inferior performances since it could not mine the specific information such as the texture and edge which is contained in the blurred image. However, it is a computational burden to train a new dictionary for image deblurring which requires the whole image (or most parts) as input; training the dictionary on only a few patches would result in over-fitting. To address the problem, we instead propose an online adaption strategy to transfer the global learned dictionary to a specific image. In our deblurring algorithm, the sparse coefficients, latent image, blur kernel and the dictionary are updated alternatively. And in every step, the global learned dictionary is updated in an online form via sampling only a few training patches from the target noisy image. Since our adaptive dictionary exploits the specific information, our deblurring algorithm shows superior performance over other state-of-the-art algorithms. 
Volume: 12
Issue: 4
Page: 855-864
Publish at: 2014-12-01

Mitigation of SSR Oscillations in Series Compensated Line using LCAP Subsynchronous Damping Controller

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3917
Sanjiv Kumar , Narendra Kumar
Subsynchronous Resonance (SSR) is a growing problem in power systems having series compensated transmission lines. Subsynchronous resonance with low frequency that surpasses aggregate fatigue threshold of the generator shaft frequently could significantly reduce the shaft service life, which is a new problem that emerges in recent years. Flexible AC transmission systems (FACTS) controllers are widely applied to alleviate subsynchronous resonance. A line current and active power (LCAP) supplementary subsynchronous damping controller (SSDC) is proposed to damp subsynchronous resonance caused by series capacitors. Both eigenvalue investigation and time-domain simulation results verify that the proposed control strategy can effectively damping power system oscillations of the power system with SVS and SSDC. Time domain simulations using the nonlinear system model are also carried out to demonstrate the effectiveness of the proposed damping controller. The recommended control approach has been accumulated with the IEEE first benchmark model for SSR study.  The analysis indicates that SVS using the proposed control strategy has better alleviation effect and output characteristics. All the simulations are validated by using MATLAB/Simulink environment. http://dx.doi.org/10.11591/telkomnika.v12i12.6726 
Volume: 12
Issue: 12
Page: 8042-8050
Publish at: 2014-12-01
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