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28,451 Article Results

Blind Signal Processing Algorithmsbased based on Recursive Gradient Estimation

10.11591/ijece.v5i3.pp548-561
Namyong Kim , Mingoo Kang
Blind algorithms based on the Euclidean distance (ED) between the output distribution function and a set of Dirac delta functions have a heavy computational burden of  due to some double summation operations for the sample size and symbol points. In this paper, a recursive approach to the estimation of the ED and its gradient is proposed to reduce the computational complexity for efficient implementation of the algorithm. The ED of the algorithm is comprised of information potentials (IPs), and the IPs at the next iteration can be calculated recursively based on the currently obtained IPs. Utilizing the recursively estimated IPs, the next step gradient for the weight update of the algorithm can be estimated recursively with the present gradient. With this recursive approach, the computational complexity of gradient calculation has only . The simulation results show that the proposed gradient estimation method holds significantly reduced computational complexity keeping the same performance as the block processing method
Volume: 5
Issue: 3
Page: 548-561
Publish at: 2015-06-01

The Adaptive Federal Unscented Particle Filter Algorithm with Applications in All-Attitude Integrated BDS/INS Navigation System

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1507
Ping Luo , Li-jie Yuan , Liang-xue Huang , Xian-fei Li
In order to improve the attitude accuracy, the thesis establishes the all-attitude integrated BDS/INS navigation nonlinear system model based on the position, velocity, attitude by adding the BDS’s attitude measurement information into the measurement equation of the traditional BDS/INS integrated navigation nonlinear system model. Considering the problem that the dynamic navigation system model is difficult to accurately describe the complex navigation environment, the thesis improves the dynamic characteristics of the information distribution of the federal filter algorithm which could timely change based on the eigenvalues ratio of each subsystem’s error variance matrix. Then, the adaptive federal unscented particle filter (AFUPF) is proposed. The simulation shows that the proposed algorithm could effectively weaken the impact on the system accuracy of the inaccurate high-dynamic model, and improve the adaptability, the fault tolerance and the accuracy, especially the attitude accuracy. DOI: http://dx.doi.org/10.11591/telkomnika.v14i3.8069
Volume: 14
Issue: 3
Page: 543-556
Publish at: 2015-06-01

Logixpro Based Scada Simlations Model for Packaging System in Dry ICE Plant

10.11591/ijece.v5i3.pp443-453
Prashu Jain , K. Nithiyananthan , Raghuraman Raghuraman , Gowrishankar Kasilingam
Supervisory Control and Data Acquisition (SCADA) systems control and monitor industrial and critical infrastructure functions, such as electricity, gas, water, waste, railway, and traffic. The main objective of this work is to develop SCADA simulation model for packaging system in dry ice plant. Dry ice is an important refrigerant for keeping foods cold and preventing bacterial growth during shipment. Dry ice used for cooling or freezing foods must be very clean and considered food grade to ensure that food it may touch will not be contaminated. Some recent developments for its use include using the pellets in blasting or cleaning and its increasing use in transporting medical specimens, including hearts, limbs, and tissues, for reattachment and transplantation. The manufacturing process of dry ice has not changed significantly in many decades and is a relatively simple process of pressurizing and cooling gaseous carbon dioxide. But because of its growing demand, packaging becomes vital. An attempt has been made to develop and automate LOGIXPRO based SCADA simulations for dry ice plant to improve packaging and extensively reduce operating labor costs.
Volume: 5
Issue: 3
Page: 443-453
Publish at: 2015-06-01

Probabilistic Road-Aware Geocast In VANETs

10.11591/ijece.v5i3.pp599-610
Zubair Amjad , Wang-Cheol Song
Geocast is a communication technique to disseminate information in specific geographic regions instead of node addresses. Traffic congestion, accidents, local hazards and digital content sharing are potential use cases of information sharing in VANETs. Recently, several approaches for geocast routing have been proposed to achieve high delivery ratios. These approaches consider a center point and radius to define the destination region also called geocast region. They focus only on routing scheme to enhance the delivery ratio and delays. However, these approaches do not consider the target region selection problem in the geocast routing. In this paper, we propose a novel application-level mechanism for sharing road conditions, such as accidents, detours and congestion in VANETs through probabilistic road-aware geocast routing. We assign probabilities to the roads around each intersection in the neighborhood road network of the source vehicle. We then build a spanning tree of roads (from graph representation of the road network) with information source as the root node. Nodes below the root represent junctions and edges represent inter-connecting road segments. Messages propagate along the branches of the spanning tree. The spanning tree represents the geocast region. As the information propagates down the branches, probability of road as geocast region decreases. Information is propagated until a threshold probability is reached. Our method also ensures that messages are not delivered to irrelevant vehicles irrespective of their proximity to the source. We evaluate our application through extensive and realistic simulations in ns-3 simulator using IDM car following and MOBIL lane change models for realistic modeling of vehicle mobility.
Volume: 5
Issue: 3
Page: 599-610
Publish at: 2015-06-01

Design and Implementation of Embedded Processor Based Brushless Motor Drive using Lead Acid Battery as Source with Lithium Ion Capacitor

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1498
Sathishkumar Shanmugam , Meenakumari Ramachandran
For the past two decades, Brushless DC motor has become more efficient and robust motor in industrial applications due to their simplicity in structure, reliability, good mechanical properties. The absence of brushes features these motors similar to AC motors whereas their speed performance is nearly equal to that of the DC motors. Thus the combined advantages of AC and DC motors make these motors more efficient in various applications. The design was based on the output equation similar to that of conventional dc machines. This generates high-resolution PWM outputs, used to control the switching pattern of the BLDC Inverter. By varying the PWM signal produced from the microcontroller, the speed of the motor can be varied. The Hall Effect sensing unit gives information about the rotor position and based on this rotor information, switching sequence of the MOSFET is decided. The firing pulses to the gate of the MOSFET are given by the Control Signal Generation Module. Based on the developed model simulation studies are performed in Matlab/Simulink environment and hardware implementation of BLDCM drive using Lead acid battery as source With Lithium ion capacitor   system is done and  results were analysed  using Digital Scope Oscilloscope (DSO) and output Carried Out Sucessfully.  DOI: http://dx.doi.org/10.11591/telkomnika.v14i3.7938
Volume: 14
Issue: 3
Page: 455-469
Publish at: 2015-06-01

An Advanced High Performance Maximum Power Point Tracking Method with Ant Colony and Particle Swarm Optimization Method Using Interleaved Boost Converter

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1488
Nivetha V , G. Vijaya Gowri , Elamathy A
To obtain efficient maximum power point tracking operation under varying and steady state environmental conditions which is based on Ant Colony Optimization (ACO) combined with Particle Swarm Optimization (PSO) that controls an interleaved DC-DC converter connected at the output of PV array and maintains a constant input-power load. The operation of maximum power point tracking is to adjust the power interfaces so that the operating characteristics of the load and the photovoltaic array match at the maximum power points. The simulation is based on the computed algorithms which show very good perspectives. The searching routine is done in less than 15 steps and takes less than 50ms. The tracking accuracy is better than those found in conventional methods. DOI: http://dx.doi.org/10.11591/telkomnika.v14i3.7900
Volume: 14
Issue: 3
Page: 376-380
Publish at: 2015-06-01

An Introduction to Journal Phishings and Their Detection Approach

10.12928/telkomnika.v13i2.1436
Mehdi; Foulad Institute of Technology Foulad shahr Dadkhah , Tole; Universitas Ahmad Dahlan Sutikno , Mohammad; Foulad Institute of Technology Foulad shahr Davarpanah Jazi , Deris; Universitas Sriwijaya Stiawan
Nowadays, the most important risk and challenge in online system are online scam and phishing attacks. Phishing attacks have been always used to steal important information of users. In this kind of scam, attacker direct victim to fake pages using social engineering techniques, then, starts stealing users` important information such as passwords. In order to confronting these attacks, numerous techniques have been invented which have the ability to confront different kinds of these attacks. Our goal in this paper is to introducing new kind of phishing attacks which are not identifiable by techniques and methods which have been invented to confronting phishing attacks. Unlike other kinds of phishing attacks which target all kinds of users, researchers are the victims of these kinds of journal phishing attacks. Finally, we`ll introduce an approach based on classification algorithms to identify these kind of journal phishing attacks and then we`ll check our suggested approach in error rate.
Volume: 13
Issue: 2
Page: 373-380
Publish at: 2015-06-01

A Weighted Evidence Combination Method Based on Improved Conflict Measure Factor

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1505
Xiaochen Xing , Yuanwen Cai , Zhengyu Zhao , Long Cheng , Yan Li
D-S evidence theory is usually used for the fusion of multi-source information. But the fusion result is always against with general knowledge for the heavy conflict of evidence. Research on combination of conflict evidence at home and abroad is summarized and analyzed in detail. On the base of this, the conclusion that modified evidence combination method of conflict evidence is more useful can be dawn. Effective evidence conflict measure is the first step of conflict evidence combination. The existing conflict measure methods are summarized and the main problem of those methods is analyzed in detail. Based on previous research of conflict evidence combination, a modified measure factor of evidence conflict which is called Mconf is put forward. Mconf is mainly built up with modified distance of evidence named mdBPA and traditional evidence conflict factor named k. The examples in this paper show that Mconf can measure the evidence conflict correctly, both for general evidence and conflict evidence. DOI: http://dx.doi.org/10.11591/telkomnika.v14i3.7850
Volume: 14
Issue: 3
Page: 525-533
Publish at: 2015-06-01

A Power Factor Corrected Bridgeless Type III Cuk Derived Converter fed BLDC Motor Drive

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1493
J. Pearly Catherine , R. Balamurugan
This paper deals with the power factor correction in BLDC motor drive with different cuk derived converter topologies and the best one is simulated for power factor correction operation. Power quality issues is the major concern in the BLDC motor drive due to recommended limits of harmonics in the supply current. Conventionally the BLDC motors are powered with the help of diode bridge rectifiers which results in highly distorted supply current and poor power factor. So modification in converter topology is the research hotspot in recent years. Alternatively bridgeless converter topologies are used in place of diode bridge rectifiers (DBR). Among the bridgeless topologies cuk derived converters suited well for power factor correction. In this paper the different cuk topologies are investigated and the best one is simulated with the help of neuro-fuzzy controller in MATLAB/Simulink platform.DOI: http://dx.doi.org/10.11591/telkomnika.v14i3.7893
Volume: 14
Issue: 3
Page: 420-427
Publish at: 2015-06-01

A method of Trajectory Restoration at Intersection

10.12928/telkomnika.v13i2.980
Ke; School of Computer and Information Engineering, Nanyang Institute of Technology Zheng , Xiangbo; Wuhan KOTEI Informatics Co., LTD. Song , Dunyao; Wuhan KOTEI Informatics Co., LTD. Zhu
Floating car data (FCD) is vechiel’s position trace that is comes from Global Positioning System receivers.collected at the discrete time. FCD contains much information of traffic and road-network. But there are different level of trajectory shape damages because of the affection of sample frequency and running speed. So before the FCD mining, the first thing should be done is to restore track to make up for the loss. This paper analyzes the spatial-temporal characteristics of floating car trajectory at intersection, and build an error recognition model and a adjust algorithm. Experiments showed that this method can improve accuracy of trajectory restoration, and set a solid foundation for further data mining.
Volume: 13
Issue: 2
Page: 563-570
Publish at: 2015-06-01

Virtual Instrument of Harmonics Detection Based on Neural Network Adaptive Filters

10.12928/telkomnika.v13i2.1471
Xianfeng; Henan Mechanical and Electrical Engineering College Zheng , Zheng; Henan Mechanical and Electrical Engineering College Fan
This study investigated the adaptive detection principle based on a single artificial neuron, and constructed a method for detecting harmonics using the artificial neural network technique. Based on the established method, and by comprehensively processing the obtained harmonics data using the LabVIEW software-developing environment of the virtual instrument, the harmonic waves were detected and analyzed. Finally, the analysis of current ball crusher harmonics verified that the designed system was effective.
Volume: 13
Issue: 2
Page: 556-562
Publish at: 2015-06-01

Iris Image Recognition Based on Independent Component Analysis and Support Vector Machine

10.12928/telkomnika.v13i2.1171
Muhammad; Sriwijaya University Fachrurrozi , Muhammad; Sriwijaya University Mujtahid
Iris has a very unique texture and pattern, different for each individual and the pattern will remain stable, making it possible as biometric technology called iris recognition. In this paper, 150 iris image from Dept. Computer Science, Palacky University in Olomouc iris database used for iris recognition based on independent component analysis and support vector machine. There are three steps for developing this research namely, image preprocessing, feature extraction and recognition. First step is image preprocessing in order to get the iris region from eye image. Second is feature extraction by using independent component analysis in order to get the feature from iris image. Support vector machine (SVM) is used for iris classification and recognition. In the end of this experimental, the implement method will evaluated based upon Genuine Acceptance Rate (GAR). Experimental result shown that the recognize rate from variation of training data is 52% with one data train, 73% with two data train and 90% three data train. From experimental result also shows that this technique produces good performance.  
Volume: 13
Issue: 2
Page: 597-603
Publish at: 2015-06-01

Optimal Two Dimensional Preventive Maintenance Policy Based on Asymmetric Copula Function

10.12928/telkomnika.v13i2.1455
Xinyue; Mechanical Engineering College, Shijiazhuang Li , Yunxian; Mechanical Engineering College, Shijiazhuang Jia , Zhen; Mechanical Engineering College, Shijiazhuang Li
For some kinds of products, the consumers have strict requirements to the reliability of these products in the based warranty period. Then the manufacturer is inclined to provide the two-dimensional preventive maintenance policy to take the usage degree of the product into account. As a result, two-dimensional preventive maintenance policy in the warranty period has recently obtained increasing attention from manufacturers and consumers. In this paper, we focused on the optimization of based warranty cost and proposed a new expected based warranty cost model considering the two-dimensional imperfect preventive maintenance policy from the perspective of the manufacture. Asymmetric copula function was applied to modeling the failure function of the product. And the optimal two-dimensional preventive maintenance period was obtained by minimizing based warranty cost. At last, numerical examples are given to illustrate the proposed models, of which the results prove the model effective and validate.
Volume: 13
Issue: 2
Page: 722-729
Publish at: 2015-06-01

The Implementation of One Opportunistic Routing in Wireless Networks

10.12928/telkomnika.v13i2.132
Han; Nanjing University of Science & Technology Li , Huan-yan; Nanjing University of Science & Technology Qian
In the paper, it proposes an optimization framework addressing fairness issues for opportunity routing in wireless mesh networks, where we use network coding to ease the routing problem. We propose a distributed heuristic algorithm in the case when scheduling is determined by MAC, and discuss the suitability of our algorithm through simulations. It is found that in most situations our algorithm has better performances than the single-path algorithm and the classical network coding which is based opportunity algorithm MORE.
Volume: 13
Issue: 2
Page: 460-468
Publish at: 2015-06-01

Mitigation of Voltage Fluctuations using fuzzy-based D-STATCOM in High Level Penetration of DG Systems

10.11591/ijai.v4.i2.pp72-80
M.Padma Lalitha , R.Madhan Mohan , B.Murali Mohan Babu
Voltage fluctuations mainly resulting from variable output power of renewable energy sources; these are strictly challenging power quality in distribution-generation systems. The paper presents a control method for fuzzy based D-STATCOM to relieve variation of positive-sequence and negative-sequence voltages. D-STATCOM continuously operates as fundamental positive–sequence admittance and negative-sequence conductance to restore the positive-sequence voltage to the nominal value and negative-sequence voltage to the allowable level. At transient period both admittance and conductance are dynamically tuned to improve the voltage regulation performance. The ability of fuzzy logic to handle rough and unpredictable real world data made it suitable for a wide variety of applications, especially, when the models are too complex to be analyzed by classical methods. This paper presents the computer simulation of fuzzy based D-STATCOM under steady and transient state condition. The reduction of total harmonic distortions (THD) and voltage imbalance factor %VUF is discussed at all buses and maintained in acceptable level.
Volume: 4
Issue: 2
Page: 72-80
Publish at: 2015-06-01
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