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31,456 Article Results

Optimal Selection of UPFC Parameters and Input Controlling Signal for Damping Power System Oscillations

10.11591/ijeecs.v2.i1.pp61-68
Moslem Salehi , Ali Akbar Motie Birjandi
 Unified power flow controller (UPFC), as one of the most important FACTS devices, can be used to increase the damping of power system oscillation. The effect rate of this controller on increasing oscillation damping depends on the appropriate selection of input controlling signal, optimal selection of UPFC controlling parameters, and its proper position in power system. In this paper, the capability of different UPFC inputs is studied by utilizing singular value decomposition (SVD) method and the best UPFC input controlling signal is selected. Supplementary control parameters are also optimally selected by PSO algorithm. This method's accuracy is simulated on a single-machine system connected to infinite bus.
Volume: 2
Issue: 1
Page: 61-68
Publish at: 2016-04-01

Audio Watermarking Based on Hybrid Low and High Wavelet Frequencies

10.11591/ijict.v5i1.pp28-35
Aree Ali Mohammed
Transform-domain digital audio watermarking has a performance advantage over time-domain watermarking by virtue of the fact that frequency  transforms offer better exploitation of the human auditory system (HAS). In this research paper an adaptive audio watermarking is proposed based on the low and high wavelet frequencies band (LF, HF). The embedded watermark can be of any types of signal (text, audio and image). The insertion of the watermark data is performing in a frequency domain after applying discrete wavelet transformation on the cover audio segments. The normalize correlation and the signal to noise ratio metrics are used to test the performance of the proposed method in terms of the robustness and imperceptibility. Test results show that an improvement of the robustness against some type of attacks when the watermark is adaptively embedded in a different wavelet bands.
Volume: 5
Issue: 1
Page: 28-35
Publish at: 2016-04-01

Perform Measuring by Using Image Processing

10.11591/ijict.v5i1.pp36-44
Sundus Khaleel Ebraheem
The development of ability of the computer leads to improve the abilities of digital image processing, because of the traditional measuring work needs much effort in the site for different fields, and has its difficulties and shortcoming points; therefore this paper introduces improvement for the method to solve the measuring problem, by using digital image processing. This paper improved the system of perform measuring of material for buildings by calculating the volume furthermore the area and dimensions for any position was pointed by the user. The improvement involved in addition to that correction the position of pointed point in case of zooming. The system was designed by using MATLAB R2012b language. The system has implemented on different images and different dimensions as well as on video, it showed accurate results in calculating specific dimensions, areas and volume which defined by the user in the image.
Volume: 5
Issue: 1
Page: 36-44
Publish at: 2016-04-01

Transient Analysis of a Multi-phase Induction Machine Operating as Generator

10.11591/ijeecs.v2.i1.pp79-87
Alok Kumar Mohanty , K B Yadav
Multi-phase machines are considered serious contenders as compared to the three phase machines for variable applications in generating mode. This paper presents the transient performance analysis of a multi-phase induction machine operating in six-phase mode for power generation. In this paper the simulation and experimental analysis of a six-phase machine in generating mode have been made. The simulations are made and the machine functionality was investigated during no-load and when subjected to different types of loads. Experimental results are provided to confirm the ability of these models to represent during no load as well as during load period and the result were found to be satisfactory for power generation.
Volume: 2
Issue: 1
Page: 79-87
Publish at: 2016-04-01

Applications and Design for a Cloud of Virtual Sensors

10.11591/ijeecs.v2.i1.pp229-240
Ammar Jameel Hussein , Ammar Riadh , Mohammed Alsultan , Abd Al-razak Tareq
The use of sensors in our daily lives is a growing demand with the large number of electronic devices around us. These sensors will be included in our daily life requirements soon and they will affect our lives in both positive and negative ways. In this paper, we discuss the manner, applications and design issues for a cloud of virtual sensors, and we introduce a distributed system design to deal with physical sensors that reside in diverse locations and operate in different environments. This design operates in a cloud computing vision and can make virtual sensors in upper of physical one available from anywhere using ICT structure. Then, we negotiated the future of this technology, i.e., the Internet of Things (IoT). Additionally, we go over the strengths and weaknesses of using this technology. Our test lab shows high performance and good total cost of ownership and effective response time.
Volume: 2
Issue: 1
Page: 229-240
Publish at: 2016-04-01

Background Modeling to Detect Foreground Objects Based on ANN and Spatio-Temporal Analysis

10.11591/ijeecs.v2.i1.pp151-160
N. Satish Kumar , Shobha G
This paper presented an approach to building background model for moving object detection using unsupervised Artificial Neural Network (ANN) without any prior knowledge about foreground objects. First, using Local Binary Pattern (LBP) which is texture feature, builds a statistical Background Model using ANN, then, comparing the behavior of next incoming frame with model and decide each pixel whether is deviating from a model or not. And based on if method detects foreground objects then background model is updated to make this model adaptive. Also, spatial-temporal information has been exploited in this method to suppress sudden illumination variation and to suppress false foreground pixels.  It was demonstrated and proved, by qualitative and quantitative metrics that the newly presented approach is adaptive, generic and can address all issues and challenges for background subtraction. To evaluate the performance of the presented approach this paper compared with recent approaches by using standard metrics and proved that presented method outperforms many existing recent approaches.
Volume: 2
Issue: 1
Page: 151-160
Publish at: 2016-04-01

A New All-Optical Signal Regeneration Technique for 10 GB/S DPSK Transmission System

10.11591/ijece.v6i2.pp859-869
Bhagwan Das , Mohammad Faiz Liew Abdullah , Nor Shahida Mohd Shah
The transmission of high power inside the optical fiber, produce amplitude noise, phase noise and other transmission impairments that degrade the performance of optical communication system. The signal regeneration techniques are used to mitigate these nonlinear impairments in the electrical or in the optical domain. All-optical signal regeneration techniques are one of the solutions to mitigate these nonlinear transmission impairments in the optical domain without converting the signal from optical to electrical domain. The existing techniques are not capable enough to attain the Bit Error Rate (BER) less than 10-10 with the power penalty less than – 9dBm. In this paper, a new all-optical signal regeneration technique is developed that mitigate amplitude and phase noises in the optical domain. The new optical signal regeneration technique is developed by combining the two existing technique one is 3R (Reshaping, Reamplification and Retiming) regeneration and other is Phase Sensitive Amplification (PSA). The 10Gb/s Differential Phase shift Keying (DPSK) noisy transmission system is used to verify the features of developed technique. The developed technique successfully mitigates the nonlinear impairments from the noisy DPSK system with significant improvement in BER at low power penalty with the additional feature of high Q-factor and an eye open response for the regenerated signal. It is determined that BER of 10-12 is achieved at the power penalty of -14 dBm with Q-factor of 42 and an eye opened response. The developed technique in the DPSK system is realized using commercial software package Optisystem. The designed technique will be helpful to enhance the performance existing high-speed optical communication by achieving the minimum BER at low power penalty.
Volume: 6
Issue: 2
Page: 859-869
Publish at: 2016-04-01

High Performance Vector Control of 3-Phase IM Drives under Open-Phase Fault Based on EKF for Rotor Flux Estimation

10.11591/ijece.v6i2.pp458-467
Mohammad Jannati , Tole Sutikno , Nik Rumzi Nik Idris , Mohd Junaidi Abdul Aziz
This paper proposes a novel flux observer based on Extended Kalman Filter (EKF) for high performance vector control of 3-phase Induction Motor (IM) drives under stator winding open-phase fault. The presented flux estimation combines the Indirect Rotor Field-Oriented Control (IRFOC) method. The rotor flux is obtained from two modified EKF with two different stator currents (forward and backward stator currents). The proposed technique can significantly reduce the DC-offset problem on the pure integrator associated with the basic IRFOC method. The Matlab simulation results confirm the validity of the proposed strategy.
Volume: 6
Issue: 2
Page: 458-467
Publish at: 2016-04-01

Speed Control of a Single Taipei Mass Rapid Transit System Train by Using a Single Input Fuzzy Logic Controller

10.11591/ijece.v6i2.pp621-629
Hari Maghfiroh , Oyas Wahyunggoro , Adha Imam Cahyadi , Kuo Lung Lian , Bwo Ren Ke
The purpose of this study was to design a speed controller for mass rapid transit (MRT) train by using a single input fuzzy logic controller (SIFLC). A complete train model, which was designed according to the design of a Taipei MRT train was used for analyzing both mechanical and electrical parts. The SIFLC was used for improving a fuzzy logic controller (FLC) by reducing its number of control rules. The results indicated that the SIFLC exhibited more favorable performance than the FLC did and a substantial reduction in the number of fuzzy rules and processing time. Therefore, tuning the SIFLC was easier compared with tuning the FLC; furthermore, the simulation time of the SIFLC was shorter than that of the FLC, exhibiting reductions of up to 17.3% in a constant track (track without gradient and curvature) and up to 12.27% in a variable track (track with gradient and curvature).
Volume: 6
Issue: 2
Page: 621-629
Publish at: 2016-04-01

HASBE access control model with Secure Key Distribution and Efficient Domain Hierarchy for cloud computing

10.11591/ijece.v6i2.pp770-777
RajaniKanth Aluvalu , Vanraj Kamliya , Lakshmi Muddana
Cloud computing refers to the application and service that run on a distributed system using virtualized resources and access by common internet protocol and networking standard. Cloud computing virtualizes system by pooling and sharing resources. System and resources can be monitored from central infrastructure as needed. It requires high security because now day’s companies are placing more essential and huge amount of data on cloud. Hence traditional access control models are not sufficient for cloud computing applications. So encryption based on Attribute (“ABE”-“Attribute based encryption”) has been offered for access control of subcontracted data in cloud computing with complex access control policies. Traditional HASBE provides Flexibility, scalability and fine-grained access control but does not support hierarchical domain structure. In this paper, we had enhanced “Hierarchical attribute-set-based encryption” (“HASBE”) access control with a hierarchical assembly of users, with flexible domain Hierarchy structure and Secure key distribution with predefined policy
Volume: 6
Issue: 2
Page: 770-777
Publish at: 2016-04-01

Robust Backstepping Tracking Control of Mobile Robot Based on Nonlinear Disturbance Observer

10.11591/ijece.v6i2.pp901-908
Mahmood Ali Moqbel Obaid , Abdul Rashid Husain , Ali Abdo Mohammed Al-kubati
This paper presents a robust backstepping control (BC) method based on nonlinear disturbance observer (NDOB) for trajectory tracking of the nonholonomic wheeled mobile robot (WMR) in the presence of external disturbances and parameters uncertainties. At first, a bounded Fuzzy logic based backstepping controller (BFLBC) is designed to control the WMR without considering the effects of the external disturbances and the parameters uncertainties. Typically, the conventional BC controller depends upon the state tracking errors analysis, where unbounded velocity signal is produced for the applications that have huge tracking errors. Therefore, a fuzzy logic controller (FLC) is introduced in this research in order to normalize the state tracking errors, so that the input errors to the BC are bounded to a finite interval. Finally, the designed BFLBC is integrated with the nonlinear disturbance observer in order to attenuate the external disturbances and model uncertainties. The simulation results show the effectiveness of the proposed controller to generate a bounded velocity signal as well as to stabilize the tracking errors to zero. In addition, the results prove that the proposed controller provide an excellent disturbance attenuation as well as robustness against the parameters uncertainties.
Volume: 6
Issue: 2
Page: 901-908
Publish at: 2016-04-01

A Review on Photo Voltaic MPPT Algorithms

10.11591/ijece.v6i2.pp567-582
Saravana Selvan , Pratap Nair , Umayal Umayal
A photovoltaic generator exhibits nonlinear voltage-current characteristics and its maximum power point varies with solar radiation and cell temperature. A Dc/Dc power converter is used to match the photovoltaic system to the load and to operate the PV (photo voltaic) cell array at maximum power point. Maximum Power Point Tracking (MPPT) is a process which tracks one maximum power point from PV array input, varying the ratio between the voltage and current delivered to get the most power it can. There are different techniques proposed with lot of algorithms are being used in the MPPT controller to extract the maximum power. It is very difficult for the photo voltaic designers, researchers and academic experts to select a particular MPPT technique for a particular application which requires the background knowledge and comparative features of various MPPT algorithms. This paper will be avaluable source for those who work in the photo voltaic generation, so its objective is to review the main MPPT algorithms in practice and analyzes the merits and demerits with various factors.
Volume: 6
Issue: 2
Page: 567-582
Publish at: 2016-04-01

Resolving the Issues of Capon and APES Approach for Projecting Enhanced Spectral Estimation

10.11591/ijece.v6i2.pp725-734
Kantipudi MVV Prasad , H.N. Suresh
There are various applications on signal processing that is highly dependent on preciseness and accuracy of the outcomes in spectrum of signals. Hence, from the past two decades the research community has recognized the benefits, significance, as well as associated problems in carrying out a model for spectral estimation. While in-depth investigation of the existing literatures shows that there are various attempts by the researchers to solve the issues associated with spectral estimations, where majority of teh research work is inclined towards addressing problems associated with Capon and APES techniques of spectral analysis. Therefore, this paper introduces a very simple technique towards resolving the issues of Capon and APES techniques. The outcome of the study was analyzed using correlational factor and power spectral density to find the proposed system offers better spectral estimations compared to existing system.
Volume: 6
Issue: 2
Page: 725-734
Publish at: 2016-04-01

Optimal Location of Distributed Generation and its Impacts on Voltage Stability

10.11591/ijece.v6i2.pp504-511
Manoj Kumar Nigam , V.K. Sethi
Distributed generation (DG) technology is based on the renewable sources of energy. Now a day’s distributed generation plays an important role of power generation utilities to fulfill the increasing demand of power at the costumer’s site. A distributed generation is the small generation unit with capacity varying from kW (kilowatt) to few MW (megawatt). The main aim of this paper is to find the solution for optimal location of connecting DG and also the disturbances in the voltage fluctuations responds to imperfection of connecting DG. A test network of IEEE-30 bus system has been simulated using PSAT 2.1.7. The compensation methods have also been developed for filtering out the disturbances caused by the DG connection. The disturbance in the voltage profile is improved by minimizing the real and reactive power losses with the help of STATCOM. The proposed approach IEEE-30-bus system was tested and the result was discussed.
Volume: 6
Issue: 2
Page: 504-511
Publish at: 2016-04-01

A Hybrid Approach of Fuzzy C-means Clustering and Neural network to make Energy-Efficient heterogeneous Wireless Sensor network

10.11591/ijece.v6i2.pp674-681
Amit Kumar Kaushik
The Wireless sensor network has been highly focused research area in recent times due to its wide applications and adaptability to different environments. The energy-constrained sensor nodes are always under consideration to increase their lifetime. In this paper we have used the advantages of two approaches i.e. fuzzy c-means clustering and neural network to make an energy efficient network by prolonging the lifetime of network. The cluster formation is done using FCM to form equally sized clusters in network and the decision of choosing cluster head is done using neural network having input distance from basestation, heterogeneity and energy of the node. Our Approach has successfully increased the lifetime and data capacity of the network and outperformed different approaches applied to the network present in literature.
Volume: 6
Issue: 2
Page: 674-681
Publish at: 2016-04-01
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