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28,593 Article Results

A Novel Wireless Sensor Network Node Localization Algorithm Based on BP Neural Network

10.11591/ijeecs.v12.i8.pp6254-6258
Cheng Li , Honglie Zhang , Guangjun Song , Yanjv Liu
The accurate localization of wireless sensor network node is one of the supporting technologies of network application. A novel localization algorithm of wireless sensor network node based on BP neural network is put forward in the paper. This localization algorithm constructs the BP neutral network model in accordance with the number of the anchor node firstly, and then trains the network by the anchor node and estimates the location of the unknown node. Moreover, the virtual anchor node is introduced into this algorithm in order to realize its optimization, which increases the anchor node scale in the network and improves the localization accuracy of the node. The simulation experiment results in two different conditions show that compared with Centroid algorithm and DV-Hop algorithm, the localization algorithm of this paper estimates the location of the unknown node more precisely and improves the location accuracy more effectively. This algorithm demonstrates its merits greatly.
Volume: 12
Issue: 8
Page: 6254-6258
Publish at: 2014-08-01

Simulink Based Multi Variable Solar Panel Modeling

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3691
Chandani Sharma , Anamika Jain
Solar Energy, the most abundant and widely used Renewable Energy is not only reliable, scalable but serves solution to global warming around the world. This energy is used for electricity generation using Photovoltaics (PV) converting Solar Energy into electricity. Photovoltaics (PV) play significant role for future Distributed and Renewable Energy Generation Systems (DG). This study is an effort to visualize simulation tool for solar cell array under rapidly changing solar radiation and temperature by inserting a test signal in the control input. The main objective is to find the parameters of the nonlinear I-V and P-V equation by locating the curve at three points: short circuit current, open circuit voltage and maximum power. Future Smart Grids can be optimized if computerized and designed using mathematical modeling and simulation system at STC. Case study relative to factors including weather and seasonal variations is tested through SIMULINK model. Predicted changes are configured for determination of MPP. The proposed model is based on variations by changing absorption of light with physical inspections for data corresponding to low and high temperatures. DOI: http://dx.doi.org/10.11591/telkomnika.v12i8.6071
Volume: 12
Issue: 8
Page: 5784-5792
Publish at: 2014-08-01

Analysis of T-Source Inverter with PWM Technique for High Voltage Gain Application

10.11591/ijeecs.v12.i8.pp5709-5719
K. Eswari , R. Dhanya
This  paper  deals  with  Analysis of T-Source inverter with PWM Technique for high voltage gain application. The T-source impedance network is newly introduced to overcome the problems of  Z-source inverter. This T-source inverter is similar to Z-source inverter except the use of high frequency low leakage inductance transformer. It has low reactive components in compare with conventional ZSI. This T-source inverter has an ability to perform dc to ac  power conversion and it provides buck -boost operation in a single stage. The traditional inverters cannot provide such feature. Operating principle of T-source inverter is almost same as that of ZSI. All traditional PWM methods can be used to control T-source inverter. The utilization of shoot-through switching state is enhanced in T-source inverter which helps in the unique usage of buck-boost feature to the inverter. It is recommended that to maintain the constant voltage in the input side to get the appropriate output voltage.
Volume: 12
Issue: 8
Page: 5709-5719
Publish at: 2014-08-01

An Improved Reconstruction Algorithm Based on Compressed Sensing for Power Quality Analysis in Wireless Sensor Networks of Smart Grid

10.11591/ijeecs.v12.i8.pp5985-5998
Yi Zhong , Jiahou Huang
In recent years, the growing power quality problems in smart grid cause widespread concern at home and abroad. Because the traditional power quality algorithms which are based on Nyquist sampling theory have the drawbacks of complicated, heavy computations and poor real-time performance when sampling and analyzing continuous massive signals in smart grid. This paper discussed an improved reconstruction algorithm based on compressed sensing due to the sparsity of power quality signals in frequency domain for power quality analysis .By using the ZigBee wireless gateway for wireless sensor networks and energy metering chip, we develop a single meter node to do relative experiments. In the condition of the real test-bed and several compared experiments, power quality information in the highly compression ratio has good performance according to CSR (Compression Sampling Ratio), SNR (Signal to Noise Ratio), MSE (Mean Squared Error) and ERP (Energy Recovery Percentage) , and will be widely used in power quality analysis.
Volume: 12
Issue: 8
Page: 5985-5998
Publish at: 2014-08-01

Fuzzy Neural Network for Classification Fault In Protection System

10.11591/ijeecs.v12.i8.pp5969-5975
Azriyenni Azriyenni , Mohd Wazir Mustafa , Naila Zareen
Novel intelligent technique is a combination of fuzzy and neural network techniques that can be used to classify faults in electric power system protection. There have two problems in the protection system, which are: undesired tripping and fail to operate. Loss of power supply to relays and circuit breakers or failure in protective devices may cause failures in protection system. Construction of neural networks to explore fact to identify fault component is from control center. The objective of this paper is to develop novel concept for classification failures protection system are using Fuzzy Neural Network technique. Methodology consists of Neural Network and Fuzzy. The Neural network is also conscientious for estimating degree of membership in system components from corresponding area in classification of disorders. The input variables of neural network formed of binary numbers. Value of 1 indicates if fault occurs and value of 0 indicates no-fault occurs. Fuzzy relations will represent by fuzzy. These Fuzzy relations can be represented by fuzzy diagram consisting of three sets of node that would be considered to represent components, relays and circuit breakers.
Volume: 12
Issue: 8
Page: 5969-5975
Publish at: 2014-08-01

Optimized Power Allocation for Cooperative Amplify-and-Forward with Convolutional Codes

10.11591/ijeecs.v12.i8.pp6243-6253
N Nasaruddin , M Melinda , E Elizar
Future wireless communications technology should fulfill the demands of multimedia applications, interactive internet service, high data rates and power efficiency. However, wireless channel is affected by multipath fading that can degrade the system performance. To overcome the problem, cooperative communication has been introduced to be an efficient diversity technique to combat the multipath fading, to improve capacity and the system performance, and to reduce the energy comsumption by using power allocation technique in the network. This paper proposes an optimized power allocation (OPA) for cooperative amplify-and-forward (AF) protocol with convolutional codes (CC). A computer simulation model for the proposed system is developed using Matlab programming.  Then, performance of the system is evaluated in terms of the system throughput, bit error rate and amplification coeficient for power allocation. Furthermore, the different rates of CC are also considered in the network. Simulation results show that multi-relay AF network can provide a higher throughput and lower bit error rate. Moreover, the performance of OPA system is better than that of non-OPA system. The using lower rate of CC in the OPA system provides coding gain for multi-relay cooperative AF network. Finally, the different amplification coeficients among relays give a significant improvement to optimize the system performance.
Volume: 12
Issue: 8
Page: 6243-6253
Publish at: 2014-08-01

Performance Relay Assisted Wireless Communication Using VBLAST

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3748
M.M. Kamruzzaman
In this paper, performance of relay assisted wireless link is evaluated using VBLAST in the presence of rayleigh fading where source is equipped with two transmit antennas, relay is equipped with multiple transmit and multiple receive  antennas, and destination has multiple receive antennas. The input information are modulated using QPSK or 16 QAM or 64 QAM modulator and modulated information are encoded using VBLAST and then split into streams which are simultaneously transmitted through transmit antennas of source.Relay decodes the rayleigh fading effected signal and re-encodes using VBLAST and forwards for destination. It is observed that relay with 2 transmit antennas and 2/3/4/5/6 receive antennas provides 9-11.5 dB gains compared to direct link. And there are around 3 dB to 11 dB gains for increasing number of receiving antennas at relay and destination from 2 to 3/4/5/ 6. DOI:  http://dx.doi.org/10.11591/telkomnika.v12i8.6031 
Volume: 12
Issue: 8
Page: 6259-6266
Publish at: 2014-08-01

Comprehensive Evaluation to Distribution Network Planning Schemes Using Principal Component Analysis Method

10.11591/ijeecs.v12.i8.pp5897-5904
Wang Ruilian , Gao Shengjian
Aiming to the complexity of vibration fault cause, the great many of fault parameters in hydroelectric generating set, and the superiority of grey relation analysis for its no strict requirement to fault sample capacity and regularity, the weighted grey relation model is built to look for the vibration fault type. The fuzzy matrix's transformation arithmetic is used to obtain the weight vectors of the grey relation coefficient, thus the weighted coefficient is the weighted grey relation model. The relation coefficient between reference sequence and compare sequence in vibration fault sample is provided by synthetic arithmetic of fuzzy weight to diagnose the vibration fault type. The grey relation coefficient weighted by fuzzy synthetic arithmetic, which is not only made the established weight be a scientific basis, but also can “sensitive” highlight the vibration fault type of hydroelectric generating set. Thus the problem of looking for every fault types is better resolved. By analyzing the practical example, it proved that the weighted grey relation model in the paper can effectively diagnose the vibration fault type of hydroelectric generating set and it has definite applicability.
Volume: 12
Issue: 8
Page: 5897-5904
Publish at: 2014-08-01

Brain Emotional Learning for Classification Problem

10.11591/ijeecs.v12.i8.pp5793-5800
Reza Mahdi Hadi , Saeed Shokri , Omid Sojodishijani
Emotional learning is new tool in the field of machine learning that the inspired from limbic system. The various models of emotional learning (BEL) have been successfully utilized in many learning problems. For example, control applications and prediction problems. In this paper a new architecture based on a brain emotional learning model that can be used in classification problem (BELC). This model is suitable for high dimensional classification applications. To evaluate the proposed method have been compare it with the Multilayer Perceptron (MLP), K-Nearest Neighbor (KNN), Naive Bayes classifier and Brain Emotional Learning-Based Pattern Recognizer (BELPR) methods. The obtained results show the effectiveness and efficiency of the proposed method for classification problems.
Volume: 12
Issue: 8
Page: 5793-5800
Publish at: 2014-08-01

Study on the Influence of Grid Voltage Quality

10.11591/ijeecs.v12.i8.pp5918-5925
Guiping Yi , Renjie Hu
Industrial Static Var Generator (SVG) is typically applied at or near the load center to mitigate voltage fluctuation, flicker, phase unbalance, non-sine distortion or other load-related disturbance. Special attention is paid to the influence of grid voltage quality on SVG current, the non-sine distortion and unbalance of grid voltage causes not only the AC current distortion and unbalance but also the DC voltage fluctuation. In order to let the inverter voltage contain the fundamental negative sequence and harmonic component corresponding to the grid voltage, a new dual-loop control scheme is proposed to suppress the influence in this paper. The harmonic and negative sequence voltage decomposition algorithm and DC voltage control are also introduced. All these analyses can guide the practical applications. The simulation results verify the feasibility and effectiveness of the present control strategy and analyses.
Volume: 12
Issue: 8
Page: 5918-5925
Publish at: 2014-08-01

Continuous Real-time Monitoring of Patient’s Vital Signs Based on ZigBee Standard

10.11591/ijict.v3i2.pp73-79
Saso Koceski , Olivera Kotevska , Elena Vlahu-Gjorgievska , Vladimir Trajkovik
This paper gives an understanding of what possibilities Wireless Body Area Network (WBAN) have when using shortrange wireless communications protocols. There advantages are used to facilitate versatility in the movements of health care patients. The paper investigates the feasibility of using the ZigBee protocol, givean analysis of methods for collection of received data from multi sensor environment, and mechanisms for privacy and data protection by using encryption techniques. This characteristics are applied on previously developed collaborative healthcare system model (COHESY).COHESY is aimed at continuous real time remote patients’ health monitoring.
Volume: 3
Issue: 2
Page: 73-79
Publish at: 2014-08-01

A Dynamic Selection Algorithm on Optimal Auto-Response for Network Survivability

10.11591/ijeecs.v12.i8.pp6354-6360
Jinhui Zhao , Yujia Sun , Liangxun Shuo
In the selection process of survival strategies, it is a challenging work to automatically choose the optimal measure for the survival event. A dynamic selection algorithm is proposed, based on feedback control. According to the feature of survival strategy, the strategy model is presented, which includes fuor specific attribute. The dynamic update process of attribute vector is described in detail. Combining the weight of preference and attributes of strategy, the TOPSIS evaluation is employed to select optimal measure. Experiments and analysis show that optimal measure selected by proposed algorithm is appropriate and wishful, which enriches the research content in this field.
Volume: 12
Issue: 8
Page: 6354-6360
Publish at: 2014-08-01

Gear Fault Diagnosis and Classification Based on Fisher Discriminant Analysis

10.11591/ijeecs.v12.i8.pp6198-6204
Haiping Li , Jianmin Zhao , Xinghui Zhang , Hongzhi Teng , Ruifeng Yang
Gears are the most essential parts in rotating machinery. So gear fault modes diagnosis and levels classification are very important in engineering practice. This paper present a novel method in gear fault recognition and identification using Fisher discriminant analysis (FDA) due to FDA can reduct dimension when analyse signal. The real data collected from a gearbox test rig is used to validate the method this paper proposed. And the effectiveness of the methodology was demonstrated by the results obtained from the analysis. Three kinds of fault modes and levels were identified. And energy was selected as feature parameter. The fault modes (normal, breaktooth and crack) were diagnosed at first, then the fault levels of breaktooth and crack are classified. The accurate rate of the method is approximate 89%.
Volume: 12
Issue: 8
Page: 6198-6204
Publish at: 2014-08-01

Image Segmentation of Adhering Bars Based on Improved Concavity Points Searching Method

10.11591/ijeecs.v12.i8.pp6173-6180
Liu Guohua , Liu Bingle , Yuan Qiujie , Huang Zhenhui
It is difficult to track, count and separate the bars moving at a high speed on production line for their overlap under occlusion. Therefore, it is necessary to establish a reliable, practical splitting mechanism for the adhered bars. This paper proposed a new solution to the problem of bars adhesion: the plane array camera was utilized to acquire the images of moving bars so as to recognize the centroid coordinates of the bars ends and compute their area with a Blob algorithm, two geometric parameters were utilized to detect adhered bars, and the presence of adhered bars was analyzed according to the convex hull. For the adhered bars, the segmentation points were searched using scanning method by a series of the rules to determine the optimal segmentation line. The proposed method can segment the adhered bars effectively with matched concavity points. The experimental results show that the method can well segment and count bars moving at a high speed on production line, with the counting accuracy near to 100% and the recognizing time in millisecond.
Volume: 12
Issue: 8
Page: 6173-6180
Publish at: 2014-08-01

Research of Reliability, Availability and Maintainability on the All-electronic Computer Interlocking System

10.11591/ijeecs.v12.i8.pp5877-5885
He Tao , Ren Jianxin
High levels of reliability and high security are the basic characteristics and requirements of railway signal systems. So, reliability, availability and maintainability (RAM) are necessarily analyzed before the computer interlocking system will be adopted. The All-electronic Computer Interlocking System, which is a new kind of interlocking system, still needs to analyze its RAM before being put to use. In this paper, the reliability methods and Markov model are adopted to analyze the RAM indexes of the All-electronic Computer Interlocking System when its execution layer equipped with the single configuration or the dual-redundant configuration, the paper also compares the indexes with that of the traditional computer-based interlocking system. Finally, the paper will briefly include suggestions on how the All-electronic Computer Interlocking System’s RAM indexes may be increased and also, how the system may be used practically.
Volume: 12
Issue: 8
Page: 5877-5885
Publish at: 2014-08-01
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