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23,675 Article Results

The Maintenance Strategy for Optimizing Distribution Transformer Life Cycle Cost

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2732
Bo Ye , Lei Xuan , Bo Xu , Gefei Qiu , Zhangzhou He , Ming Li
During the operation, the distribution transformer performance will deteriorate. The maintenance is an essential task in enhancing the safety of distribution transformer. Based on equal deterioration theory, the relationship among distribution transformer failure rate in each period of maintenance was deduced. After analyzing the maintenance costs and the failure costs in detail, the model of optimal life cycle costs for distribution transformer was established. Then the genetic algorithm was used to solve the model for obtaining the optimal maintenance strategy. Finally, the optimization results and the influence factors were analyzed. The results demonstrate the feasibility and validity of the proposed method. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3458
Volume: 11
Issue: 10
Page: 6001-6007
Publish at: 2013-10-01

An Approach for Displaying the Relations among Main Elements of Object-Oriented Programs

https://ijece.iaescore.com/index.php/IJECE/article/view/5423
Kayvan Kaseb , Mohammad Sayedi
An appropriate understanding of the source code is one of the necessary steps for resolving errors and improving code and design. Two fundamental aspects in Object-Oriented Programs are program elements including classes and packages, and the relations among them. In this paper, a multi-step approach has been presented and implemented for recovering and displaying main elements of an Object-Oriented Program including classes, packages, and the relations among them. This approach has been done through three steps; first, the set of classes, packages, and the relations among them are obtained automatically from the program source code. Second, a code is injected to the program source code to register the information needed during runtime. Finally, the information obtained from previous steps is displayed. The results of this approach can be used for automatic documentation, teaching programming, better understanding and evaluating Object-Oriented Programs, reverse engineering methods for detecting program strengths and weaknesses.DOI:http://dx.doi.org/10.11591/ijece.v3i5.4031
Volume: 3
Issue: 5
Page: 702-707
Publish at: 2013-10-01

Yard Bay Allocation Method for Twin 40ft Container Terminal-Oriented

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2726
Daofang Chang , Youfang Huang , Wei Yan , Yu Wang
The efficiency of container handling has got greatimprovement with the usage of the 40ft quay crane and the twin 40ft yardcrane.Reasonable bay planning strategies is necessary to reach the high handing efficiency by the twin 40ft yard crane. This paper studies both bay planning and row planning for yard bay allocation. The models of bay planning and row planning are created, and the discrete particle swarm optimization algorithm is used to obtain the optimum solution of the models. Finally, the numerical experiments show that the proposed approach can solve the yard bay allocation effectively. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3428  
Volume: 11
Issue: 10
Page: 5954-5964
Publish at: 2013-10-01

Field Monitoring of Treated Industrial Waste Water

https://ijece.iaescore.com/index.php/IJECE/article/view/5406
Vasudha Bhandari , Preeti Abrol
Discharge of untreated industrial water on land and in existing waterbodies has deteriorated the quality of these sources and has become harmful and disasterous for human as well as aquatic life..Many a times even treated industrial effluents are proved to be harmful. So in the project discussed below an effort has been made to test the treated industrial waste water and send the obtained results to the concerned industry as well as pollution control board. The sensor used to test the water were pH electrode (PE03), conductivity electrode (k=1), purity sensor, thermistor. The results obtained from the above sensors were then sent  to the industry control room as well as pollution control board.using GSM.DOI:http://dx.doi.org/10.11591/ijece.v3i5.3177
Volume: 3
Issue: 5
Page: 629-634
Publish at: 2013-10-01

A Gait Recognition System using GA-based C-SVC and Plantar Pressure

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2749
Yanbei Li , Lei Yan , Hua Qian
In order to conduct the gait recognition system, a wireless in-shoe wearable plantar pressure acquisition system based on ATmega16 and 8 FSR sensors was applied to data acquisition for the gaits which consist of standing, walking, jumping and going upstairs. And four volunteers (2 females and 2 males) were invited in this research to collect the pressure information. MATLAB and LIBSVM were applied to conduct all algorithms proposed by this study. Genetic Algorithm (GA) was used to set the best tuning (penalty) parameter  and the best  (gamma) of Gauss radial basis kernel (RBF) for C-support vector classification (C-SVC) model and the GA-based C-SVC was obtained. A dataset named ‘train-data’, containing 800 sets of pressure data was used to train the GA-based C-SVC as the algorithm of gait recognition. Finally a testing dataset containing 400 sets of pressure data was applied to test the algorithm of gait recognition called GA-based C-SVC. The accuracy of this GA-based C-SVC was 98% for standing, 91% for walking, 82% for going-upstairs and 97% for jumping. In generally speaking, a better GA-based C-SVC was obtained in this research. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.2962
Volume: 11
Issue: 10
Page: 6135-6142
Publish at: 2013-10-01

Study on Application of Quantum BP Neural Network to Curve Fitting

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2687
Zhixia Zhang , Yanchang Liu , Jianping Xie
Based on the Quantum mechanics in a Quantum phase-shifted door and two negates controlled both general door, using them as the basic unit composed of activation function neural Network, this paper puts forward a Quantum state with input and output of the Quantum neuron Quantum state model and three layers of Quantum BP neural Network model of Network learning algorithm and performance to carry on the thorough study. Experimental results show that compared with BP neural Network, QBP appears quickly learn and convergent effect, with better fitting ability than the BP neural Network. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3388 
Volume: 11
Issue: 10
Page: 5636-5643
Publish at: 2013-10-01

Optimal Power Flow using Ant Colony Search Algorithm to Evaluate Load Curtailment Incorporating Voltage Stability Margin Criterion

https://ijece.iaescore.com/index.php/IJECE/article/view/5401
Lenin Kanagasabai , B. Ravindranath Reddy , M. Surya Kalavathi
This paper proposes a method to compute load curtailment evaluation using ACSA based optimal power flow incorporating voltage stability margin criterion. . In a deregulated environment, congestion alleviation could mean load curtailment in certain situations.  The utilities would definitely prefer to curtail a load as lower as possible during a viability crisis situation. A criterion based on the voltage stability indicator is them incorporated as an additional constraint into the optimal power flow using ACSA algorithm and it is evaluated in a WSCC 9-bus test system.DOI:http://dx.doi.org/10.11591/ijece.v3i5.2738   
Volume: 3
Issue: 5
Page: 603-611
Publish at: 2013-10-01

An Infrared-Aided Lighting Control System For Physically Impaired

https://ijece.iaescore.com/index.php/IJECE/article/view/5417
Omotosho Oludayo Hannah , Michael O. Kolawole
In recent years the need to provide greater convenience for the physically impaired community is a challenging issue: the reason being that more reliable and cost effective system are required. This paper proposes a cost effective infrared-based solution for automatic control of electrical circuitry and systems in a residential building to aid easy access for physically impaired and/or elderly people. This electronic system has been designed to meet the need of users such that it switches ON the lighting circuits on the detection of entry into a room and switches OFF the circuit as soon as the room is empty. One of the most important features of this design is the ability to automatically adjust the power consumption on the basis of human presence in a room. The device is simple both in its functionality and implementation.DOI:http://dx.doi.org/10.11591/ijece.v3i5.3627
Volume: 3
Issue: 5
Page: 683-687
Publish at: 2013-10-01

Designing and Simulation for Vertical Moving Control of UAV System using PID, LQR and Fuzzy logic

https://ijece.iaescore.com/index.php/IJECE/article/view/5411
Mohamad Reza Rahimi , Saeide Hajighasemi , Davoud Sanaei
This paper presents the designing and simulation for vertical moving controlof Unmanned Air Vehicles (UAV) system using Proportional IntegralDerivative (PID) control method, Linear Quadratic Regulator (LQR) controlmethod and fuzzy logic control technique.The UAV system pose a challengercontrol problem that in it precise model of system is non-linear. Theconventional PID controller, the LQR controller, Fuzzy Logic Controller(FLC) and Self-Tuning Fuzzy PID controller are designned based on thedynamic modeling of the system is derived from a suitable mathematicalmodel to describe the vertical motion of a UAV. Simulation results in Matlaband Simulink show that by using self-tuning Fuzzy PID, the performance ofvertical moving control system is improved significantly compared to Othercontrollers.DOI:http://dx.doi.org/10.11591/ijece.v3i5.3440
Volume: 3
Issue: 5
Page: 651-659
Publish at: 2013-10-01

Feature Extraction of Turing Tool Wear Based on J-EEMD

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2721
Hongtao Chen , Pan Fu , Xiaohui Li
In the monitoring of cutting tool state, a large number of redundant information is contained in the sensor signal. Therefore, it is obviously not conducive to pattern recognition, and difficult to classify the tool wear state correctly from the available sensors. The test platform that had real-time information collection of the vibration and acoustic emission signals in turning was built. Observed signals were adaptively processed using the method of ensemble empirical mode decomposition introduced joint approximate diagonalization of eigenmatrices (J-EEMD). This method is based on the characteristics of the signal itself decomposed into several intrinsic mode functions (IMF), and then transforms the energy ratio between the IMF. The white noise of each IMF component has been eliminated by introducing JADE algorithm during the signal decomposition. Compared with the EEMD algorithm, the decomposition efficiency is significantly improved. The experiments showed that the method could identify the different states of tool wear, if applied to feature extraction of vibration and acoustic emission signal in the cutting process.  DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3423 
Volume: 11
Issue: 10
Page: 5911-5916
Publish at: 2013-10-01

Mapping Fuzzy Petri Net to Fuzzy Extended Markup Language

https://ijece.iaescore.com/index.php/IJECE/article/view/5421
Zahra Masoudinezad , Ali Haroon Abadi , Mohammad Teshnehlab
Use of model gives the knowledge and information about the phenomenon also eradicates the cost, the effort and the hazard of using the real phenomenon. Characteristics and concepts of Petri nets are in a way that makes it simple and strong to describe and study the information processing system; especially it is shown in those which are dealing with discrete, concurrent, distributed, parallel and indecisive events. Yet, due to Petri nets inability to face with systems working on obscure data and continues events, the interest to develop fundamental concept of Petri nets has been raised which is led to new style of presented model named "fuzzy Petri nets". The difference in Petri nets is in the elements that have been fuzzed. Transitions, places, signs and arcs can be fuzzed. PMNL, on the other hand as a markup language has been engaged in uttering Petri nets in previous researches. Fuzzy markup nets can model the uncertainty of concurrent scenarios different from a dynamic system by a board of parameters and use of fuzzy membership dependencies. Therefore, in order to define these uncertain data, it is vital to use a formal language to describe fuzzy Petri nets. To support this version in this thesis, a markup language will be presented stating the structure and grammar of markup language and covering fuzzy concepts in Petri nets as well. Presenting the suggested grammar accommodates the support of fuzzy develope.DOI:http://dx.doi.org/10.11591/ijece.v3i5.4035
Volume: 3
Issue: 5
Page: 696-701
Publish at: 2013-10-01

MATLAB Based PCM Modeling and Simulation

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2728
Yongchao Jin , Hong Liang , Weiwei Feng , Qiong Wang
PCM is the key technology of digital communication, and has especially been widely used in the optical fiber communication, digital microwave communication, satellite communication. Modeling PCM communication systems with the pulse code system by programming, and conduct computer simulation by MATLAB, to analysis performance of the linear PCM and logarithmic PCM. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3430 
Volume: 11
Issue: 10
Page: 5973-5979
Publish at: 2013-10-01

Assessment study of STATCOM's effectiveness in improving transient stability for power system

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2744
Le Ngoc Giang , Nguyen Thi Dieu Thuy , Tran Thi Ngoat
Many of papers refers to study of application for FACTS. Especially for using reactive compensators for  500KV power system in order to increase the static voltage stability margin and transient stability enhancement have considered. However the  selection of suitable Var source (STATCOM or SVC)  also need to be considered. The purpose of this paper is to solve the above problems in order to suggest a olution of the appropriate shunt compensator for a reality 500KV power system. All the simulations for the above work have been carried out using MATLAB-SIMULINK environment. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.2766
Volume: 11
Issue: 10
Page: 6095-6104
Publish at: 2013-10-01

An Hybrid Coding Technique for Efficient Bandwidth Usage in conformity with IEEE 802.11 WLAN Standard

https://ijece.iaescore.com/index.php/IJECE/article/view/5400
Isiaka Ajewale Alimi , Kayode Francis Akingbad , Jide Julius Popoolae , Michael O. Kolawole
The contemporary Wireless Local Area Networks (WLANs) systems like IEEE 802.11a/g standards use Coded Orthogonal Frequency Division Multiplexing (COFDM) and offer data rates of up to 54 Mbps at 2.4 GHz or 5 GHz. IEEE 802.11n is a recent WLAN standard capable of not only providing increased data rate and improved range but also reduced signal fading. These benefits are achieved through the use of space-time coded Multiple-Input, Multiple-Output with Orthogonal Frequency Division Multiplexing (MIMO-OFDM) technique which provides the possibility of increased signal strength at the receiver with optimal bandwidth and power efficiency. In this paper, a novel hybrid space-time block coding (HSTBC) scheme is proposed for mitigating signal fading as well as enhancing the performance of MIMO–OFDM based WLANs. The signal to be transmitted is first pre-coded and the resulting output is then coded using space-time block code to form a HSTBC. Simulation results show that the HSTBC scheme considerably reduced the effect of multipath fading in wireless communication systems with improved bit error rate. Our proposed HSTBC improves the performance of the system in terms of data transmission as the capacity of the system almost doubled the capacity of a conventional STBC system.DOI:http://dx.doi.org/10.11591/ijece.v3i5.3668
Volume: 3
Issue: 5
Page: 593-602
Publish at: 2013-10-01

The Design and Verification of Disaster Recovery Strategies in Cloud Disaster Recovery Center

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2755
Gang Li , Qingpu Zhang , Wang Li , Zhengqian Feng
Disaster recovery is an important means to ensure business continuity. However, the disaster recovery investment is so huge that the cloud disaster recovery becomes a best choice for enterprises, especially for SMEs. This paper discusses the necessity and importance of the cloud disaster recovery center and the vital indicators of disaster recovery by analyzing the classification and selecting principle of cloud disaster recovery strategy, developing disaster recovery strategy based on major disaster recovery strategy finally. In the end, this paper verifies the feasibility of the disaster recovery strategy by two specific cases of disaster recovery implementation. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.2945
Volume: 11
Issue: 10
Page: 6179-6186
Publish at: 2013-10-01
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