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28,451 Article Results

Online Prediction of Transient Instability by Wide Area Measurement System

10.11591/ijeecs.v1.i1.pp31-37
Farhad Namdari , Maryam Nourizadeh , Mahmoodreza Shakarami
In this paper an online accurate prediction method is proposed to enhance the speed of Transactionient stability assessment. This method is the measurement basis technique resulted from wide area measurement systems (WAMS). In the proposed method, the generators with same dynamic behavior, referred as to coherent generators, are clustered as a same group and they can be considered as an equivalent bus. So the system will be reduced into a small scale system. The admittance matrix parameters of the reduced system can be identified with the least square algorithm. Then the trajectory prediction is performed by real-time simulations. Obtained results from simulations on New England test system show the high noticeable efficiency for performance of the proposed method, capable in predicting of the disturbed trajectory under existence of unknown parameters in grid structure.. 
Volume: 1
Issue: 1
Page: 31-37
Publish at: 2016-01-01

Big Data Platforms and Techniques

10.11591/ijeecs.v1.i1.pp191-200
Salisu Musa Borodo , Siti Mariyam Shamsuddin , Shafaatunnur Hasan
Data is growing at unprecedented rate and has led to huge volume generated; the data sources include mobile, internet and sensors. This voluminous data is generated and updated at high velocity by batch and streaming platforms. This data is also varied along structured and unstructured types. This volume, velocity and variety of data led to the term big data. Big data has been premised to contain untapped knowledge, its exploration and exploitation is termed big data analytics. This literature reviewed platforms such as batch processing, real time processing and interactive analytics used in big data environments. Techniques used for big data are machine learning, Data Mining, Neural Network and Deep Learning. There are big data architecture offerings from Microsoft, IBM and National Institute of Standards and Technology. Big data potentials can transform economies and reduce running cost of institutions. Big data has challenges such as storage, computation, security and privacy
Volume: 1
Issue: 1
Page: 191-200
Publish at: 2016-01-01

An Adaptive Adjustment Mechanism for Carriage in ATTN Network

10.11591/ijeecs.v1.i1.pp207-214
Yongju Xian , Huailiang Yi , Qili Zhang
Internet based on TCP/IP is now faced with the problem of scalability, security, management and energy consumption, while the patch to Internet doesn’t solve the drawback of IP network essentially, which further intensifies the complexity of the network. In this paper, based on the research of ATTN network, an adaptive adjustment mechanism is proposed aiming at the problem of data retention and low resource utilization rate in the automatic configuration of the carriages. In which by the forecast of data retention and resource utilization, the carrier routes are dynamically adjusted. Finally, the scheme is further optimized, and tested on ATTN simulation platform, which shows the performance of ATTN network is improved.
Volume: 1
Issue: 1
Page: 207-214
Publish at: 2016-01-01

Fairness Evaluation and Comparison of Current Congestion Control Techniques.

10.11591/ijeecs.v1.i1.pp176-181
Usman Ahmad , Md Asri Bin Ngadi , Ismail Fauzi Bin Isnin
Transmission Control Protocol (TCP) is used by many applications on the Internet for the reliable data transmission. TCP does not able to utilize the available link bandwidth quickly and efficiently in High bandwidth short distance (HBSD) and high bandwidth long distance (HBLD) networks. Many congestion control techniques also known as TCP variants are developed to solve these problems in different network environments. In this paper an experimental analysis is done for the performance evaluation of TCP CUBIC, TCP Compound, TCP Reno and High speed TCP in term of Inter and Intra Protocol fairness by using Network Simulator 2 (NS-2). Results show that the performance of TCP CUBIC pathetically down and TCP Compound and TCP Reno shows good performance in term of protocol fairness. However, these congestion control techniques still need more improvement for the utilization of available link bandwidth in HBLD networks and other network resources.
Volume: 1
Issue: 1
Page: 176-181
Publish at: 2016-01-01

A New Approach of Detection Algorithm for Reducing Computation Complexity of MIMO systems

10.11591/ijeecs.v1.i1.pp159-167
Mohammed Qasim Sulttan
Multiple-Input Multiple-Output (MIMO) technique is a key technology to strengthen and achieve high-speed and high-throughput wireless communications. . In recent years, it was observed that frequent detecting techniques could improve the performance (e.g., symbol error rate ‘SER’) of different modern digital communication systems. But these systems faced a problem of high complexity for the practical implementation.  To solve the problem of high complexity, this work proposed Frequent Improve K-best Sphere Decoding (FIKSD) algorithm with stopping rule depending on the Manhattan metric. Manhattan metric is proposed to use with FIKSD in order to achieve the lowest complexity. FIKSD is a powerful tool to achieve a high performance close to the maximum likelihood (ML), with less complexity. The simulation results show a good reduction in computation complexity with a cost of slight performance degradation within 1dB; the proposed FIKSD requires 0% to 94% and 82% to 97% less complexity than Improved K-best Sphere Decoder (IKSD) and K-best Sphere Decoder (KSD) respectively. This makes the algorithm more suitable for implementation in wireless communication systems.
Volume: 1
Issue: 1
Page: 159-167
Publish at: 2016-01-01

Electrical Vehicle Modeling and Backstepping Control

10.11591/ijeecs.v1.i1.pp60-70
Mekkaoui Mohammed , Zemalache Meguenni Kada , Omari Abdel Hafid , Lotfi Motefai
Nowadays, the development of electric vehicles has become a general trend. Electrical vehicles have improved their performance, and have been made suitable for commercial and domestic use during the last decades. The proportional–integral–differential (PID) controller has been widely used in the industrial field. It has a simple structure, and can be easily realized. The recursive backstepping design methodology is originally introduced inadaptive control theory to systematically construct the feedback control law, the parameter adaptation law and the associated Lyapunov function for a class of nonlinear systems satisfying certain structured properties. the backstepping control (BKC)  is used to improve the robustness and real-time performance of the electrical vehicle system. Numerical simulation results show the effectiveness of this approach.
Volume: 1
Issue: 1
Page: 60-70
Publish at: 2016-01-01

Bit Error Rate Analysis of MC-CDMA Systems with Channel Identification Using Higher Order Cumulants

10.11591/ijeecs.v1.i1.pp138-152
Mohammed Zidane , Said Safi , Mohamed Sabri , Ahmed Boumezzough
The aim of this paper is to contribute to study the problems of the blind identification and equalization using Higher Order Cumulants (HOC) in downlink Multi-Carrier Code Division Multiple Access (MC-CDMA) systems. For this problem, two blind algorithms based on HOC for Broadband Radio Access Network (BRAN) channel are proposed. In the one hand, to assess the performance of these approaches to identify the parameters of non minimum phase channels, we have considered two theoretical channels, and one practical frequency selective fading channel called BRAN C, driven by non gaussian signal. In the other hand, we use the Minimum Mean Square Error (MMSE) equalizer technique after the channel identification to correct the channel distortion. Theoretical analysis and numerical simulation results, in noisy environment and for different signal to noise ratio (SNR), are presented to illustrate the performance of the proposed methods.
Volume: 1
Issue: 1
Page: 138-152
Publish at: 2016-01-01

Scattering Parameters prediction for 433MHz SAWR with Minimum Insertion loss

10.11591/ijeecs.v1.i1.pp78-87
M. M. Elsherbini , M. F. Elkordy , A. M. Gomaa
A proposed schematic design for surface acoustic wave resonator (SAWR) is introduced in this paper. A simplified equivalent model for both one and two port 433MHz SAWR is built. Scattering parameters of the proposed design is extracted and compared with a commercial one of the same resonant frequency. Advanced system design tool is nominated to give the main parameters like Impedance and Admittance with their real and imaginary response. The insertion loss predicted mathematically and recorded from simulation then compared with the measured value. The proposed design tool introduced adequate results with minimum hardware procedure specifications.
Volume: 1
Issue: 1
Page: 78-87
Publish at: 2016-01-01

Notice of Retraction Power Transformer Incipient Faults Diagnosis Based on Dissolved Gas Analysis

10.11591/ijeecs.v1.i1.pp10-16
Osama E. Gouda , Saber M. Saleh , Salah Hamdy El-hoshy
Notice of Retraction-----------------------------------------------------------------------After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IAES's Publication Principles.We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.The presenting author of this paper has the option to appeal this decision by contacting info@iaesjournal.com.-----------------------------------------------------------------------Incipient fault diagnosis of a power transformer is greatly influenced by the condition assessment of its insulation system oil and/or paper insulation. Dissolved gas-in-oil analysis (DGA) is one of the most powerfull techniques for the detection of incipient fault condition within oil-immersed transformers. The transformer data has been analyzed using key gases, Doernenburg, Roger, IEC and Duval triangle techniques. This paper introduce a MATLAB program to help in unification DGA interpretation techniques to investigate the accuracy of these techniques in interpreting the transformer condition and to provide the best suggestion for the type of the fault within the transformer based on fault percentage. It proposes a proper maintenance action based on DGA results which is useful for planning an appropriate maintenance strategy to keep the power transformer in acceptable condition. The evaluation is carried out on DGA data obtained from 352 oil samples has been summarized  into 46 samples that have been collected from a 38 different transformers of different rating and different life span.
Volume: 1
Issue: 1
Page: 10-16
Publish at: 2016-01-01

On the Impact of Timer Resolution in the Efficiency Optimization of Synchronous Buck Converters

10.11591/ijpeds.v6.i4.pp693-702
Pedro Amaral , Cândido Duarte , Pedro Costa
Excessive dead time in complementary switches causes significant energy losses in DC-DC power conversion. The optimization of dead time prevents the degradation of overall efficiency by minimizing the body diode conduction of power switches and, as a consequence, also reduces reverse recovery losses. The present work aims at analyzing the influence of one of the most important characteristics of a digital controller, the timer resolution, in the context of dead-time optimization for synchronous buck converters. In specific, the analysis quantifies the efficiency de-pendency on the timer resolution, in a parameter set that comprises duty-cycle and dead-time, and also converter frequency and analog-to-digital converter accuracy. Based on a sensorless optimization strategy, the relationship between all these limiting factors is described, such as the number of bits of timer and analog-to-digital converter. To validate our approach experimental results are provided using a 12-to-1.8V DC-DC converter, controlled by low- and high-resolution pulse-width modulation signals generated with an XMC4200 microcontroller from Infineon Technologies. The measured results are consistent with our analysis, which predicts the power efficiency improvements not only with a fixed dead time approach, but also with the increment of timer resolution.
Volume: 6
Issue: 4
Page: 693-702
Publish at: 2015-12-01

Performance Measurement of a Compact Generator - Hydro Turbine System

10.11591/ijece.v5i6.pp1252-1261
Pudji Irasari , Priyono Sutikno , Puji Widiyanto , Qidun Maulana
This study aims to investigate the characteristic of a compact generator – hydro turbine system. The generator is of permanent magnet type and the turbine operates in a very low head. The integration of the two components is conducted in such a way that simplifies the construction of the conventional turbine generator. The method is by mounting the generator stator to the turbine casing and the permanent magnets are assembled in the perimeter of the turbine blade rotor. This simple construction is approached by making the stator from individual teeth and yoke. The permanent magnet generator (PMG) is designed to produce the nominal power of 300 Watt 50 Hz at 83 rpm of turbine shaft. All components of the integrated turbine- generator are totally immersed in the water stream. The stator has to be hermitic to avoid water entering the spool. Another issue investigated is the influence of the type of the stator inner casing material to the generator performance. The results show, the PVC material for inner casing has a good influence to the generator performance compared with the mild steel material.
Volume: 5
Issue: 6
Page: 1252-1261
Publish at: 2015-12-01

Ohmic Contact characterization Using Image Processing

10.11591/ijece.v5i6.pp1347-1353
Shashikala B.N. , Nagabhushana B.S.
The Ti/Al/Ni/Au films deposited by electron beam evaporation on n type GaN was demonstrated as a suitable solution for low resistive and thermally stable contact to n-type GaN. The surface morphology of Ti/Al/Ni/Au and Ti/Al contacts were studied as a function of the annealing process conditions using image processing techniques. The algorithm was implemented using the MATLAB software. Using the algorithm made, the area occupied by the pores and porosity in the ohmic contact structures were obtained.
Volume: 5
Issue: 6
Page: 1347-1353
Publish at: 2015-12-01

Dynamic Time Slice Calculation for Round Robin Process Scheduling Using NOC

10.11591/ijece.v5i6.pp1480-1485
G Siva Nageswara Rao , N. Srinivasu , S.V.N. Srinivasu , G. Rama Koteswara Rao
Process scheduling means allocating a certain amount of CPU time to each of the user processes.  One of the popular scheduling algorithms is the “Round Robin” algorithm, which allows each and every process to utilize the CPU for short time duration.  Processes which finish executing during the time slice are removed from the ready queue.  Processes which do not complete execution during the specified time slice are removed from the front of the queue, and placed at the rear end of the queue. This paper presents an improvisation to the traditional round robin scheduling algorithm, by proposing a new method. The new method represents the time slice as a function of the burst time of the waiting process in the ready queue. Fixing the time slice for a process is a crucial factor, because it subsequently influences many performance parameters like turnaround time, waiting time, response time and the frequency of context switches.  Though the time slot is fixed for each process, this paper explores the fine-tuning of the time slice for processes which do not complete in the stipulated time allotted to them.
Volume: 5
Issue: 6
Page: 1480-1485
Publish at: 2015-12-01

Comparing Performance of Data Mining Algorithms in Prediction Heart Diseases

10.11591/ijece.v5i6.pp1569-1576
Moloud Abdar , Sharareh R. Niakan Kalhori , Tole Sutikno , Imam Much Ibnu Subroto , Goli Arji
Heart diseases are among the nation’s leading couse of mortality and moribidity. Data mining teqniques can predict the likelihood of patients getting a heart disease. The purpose of this study is comparison of different data mining algorithm on prediction of heart diseases. This work applied and compared data mining techniques to predict the risk of heart diseases. After feature analysis, models by five algorithms including decision tree (C5.0), neural network, support vector machine (SVM), logistic regression and k-nearest neighborhood (KNN) were developed and validated. C5.0 Decision tree has been able to build a model with greatest accuracy 93.02%, KNN, SVM, Neural network have been 88.37%, 86.05% and 80.23% respectively. Produced results of decision tree can be simply interpretable and applicable; their rules can be understood easily by different clinical practitioner.
Volume: 5
Issue: 6
Page: 1569-1576
Publish at: 2015-12-01

Electromagnetic Performance due to Tooth-tip Design in Fractional-slot PM Brushless Machines

10.11591/ijpeds.v6.i4.pp860-868
Mohd Luqman Mohd Jamil , Zulfikri Zaki Zolkapli , Auzani Jidin , Raja Nor Firdaus Raja Othman , Tole Sutikno
Permanent Magnet (PM) machines are favorable as an alternative to other machine topologies due to simpler construction and high torque density. However, it may result hight torque ripple due to an influence of cogging torque and electronic commutation. In this paper, comparisons of phase back-emf, static torque and cogging torque due to influence of tooth-tip asymmetry in 12-slot/10-pole double-layer and 12-slot/10-pole single layer winding machines are carried out using 2D Finite-Element Analysis. At rated condition, the stator asymmetry has great influence on the torque performance as there is significant reduction of torque ripple in 12-slot/10-pole mahine equipped with single layer winding than one equipped with double layer winding machine. It si confirmed that an optimum torque performance is desirable via stator iron modification in PM machines.
Volume: 6
Issue: 4
Page: 860-868
Publish at: 2015-12-01
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