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28,593 Article Results

Evaluation of Power Quality Issues in grid Connected PV Systems

10.11591/ijece.v6i4.pp1412-1420
Gunjan Varshney , D S Chauhan , M P Dave
This paper deals with the evaluation of power quality issues in grid connected PV systems. This paper also presents  complete simulation, modeling and control of three phase grid connected solar PV module with Maximum Power Point Tracking. Perturb and Observe (P&O) method has been used for Maximum Power Point Tracking. In the proposed model DC bus voltage control , harmonic mitigation and power factor control are discussed as power quality issues. The simulation results are shown in the graphical waveforms and simulation is performed in MATLAB using SIMULINK environment and PSB toolboxes.  
Volume: 6
Issue: 4
Page: 1412-1420
Publish at: 2016-08-01

Building Fault Tollrence within Clouds at Network Level

10.11591/ijece.v6i4.pp1560-1569
Sastry Kodanda Rama Jammalamadaka , Kamesh Bala Krishna Duvvuri , Devi Anusha CH , Padmini P , Siva Anjaneyulu G
Cloud computing technologies and infrastructure facilities are coming up in a big way making it cost effective for the users to implement their IT based solutions to run business in most cost-effective and economical way. Many intricate issues however, have cropped-up which must be addressed to be able to use clouds the purpose for which they are designed and implemented. Among all, fault tolerance and securing the data stored on the clouds takes most of the importance. Continuous availability of the services is dependent on many factors. Faults bound to happen within a network, software, and platform or within the infrastructure which are all used for establishing the cloud. The network that connects various servers, devices, peripherals etc., have to be fault tolerant to start-with so that intended and un-interrupted services to the user can be made available. A novel network design method that leads to achieve high availability of the network and thereby the cloud itself has been presented in this paper
Volume: 6
Issue: 4
Page: 1560-1569
Publish at: 2016-08-01

Critical Analysis of Data Forwarding Routing Protocols Based on Single path for UWSN

10.11591/ijece.v6i4.pp1695-1701
Mukhtiar Ahmed , Mazleena Salleh , Mohammad Ibrahim Channa
In Underwater Wireless Sensor Network (UWSN); the sensor node is responsible to extract the valuable application based information from underwater environment. The application based information covers the applications like: tactical surveillance, assisted navigation, disaster prevention, offshore exploration, pollution monitoring and oceanographic data collection. The design of routing protocol in underwater environment is one of the challenging issues for researchers. This research article focuses the designing issues of the data forwarding routing protocols based on single path. In this article the designing of 2D and 3D architecture of routing protocols are discussed with their different issues. This article also focuses the analytical approach of proposed routing protocols with different parameters, the simulation scenarios of the single path routing protocols with critical analysis; and the open research issues; will help the researchers to further research in the field of routing protocols for UWSN.
Volume: 6
Issue: 4
Page: 1695-1701
Publish at: 2016-08-01

A Fuzzy Logic Control Strategy for Buck PFC Converter Based 4- Switch VSI Fed BLDC Motor Drive

10.11591/ijece.v6i4.pp1470-1480
V. Ramesh , Y. Kusuma Latha
In this paper, a new Buck PFC dc–dc converter topology along with fuzzy logic control for a permanent magnet (PM) brushless dc motor (PMBLDCM) has been proposed. The proposed buck-PFC converter topology is on single stage power factor correction converter. A concept of dc link voltage control which is proportional to speed of the PMBLDCM is used in this paper. The stator currents of the PMBLDCM during step change in the reference speed are controlled within the specified limits by an addition of a rate limiter in the reference dc link voltage. The effectives of the proposed control strategy of PMBLDCM drive is validated through simulation results.
Volume: 6
Issue: 4
Page: 1470-1480
Publish at: 2016-08-01

Fast Obstacle Distance Estimation using Laser Line Imaging Technique for Smart Wheelchair

10.11591/ijece.v6i4.pp1602-1609
Fitri Utaminingrum , Hurriyatul Fitriyah , Randy Cahya Wihandika , M Ali Fauzi , Dahnial Syauqy , Rizal Maulana
This paper presents an approach of obstacle distance estimation for smart wheelchair. A smart wheelchair was equipped with a camera and a laser line. The camera was used to capture an image from the environment in order to sense the pathway condition. The laser line was used in combination with camera to recognize an obstacle in the pathway based on the shape of laser line image in certain angle. A blob method detection was then applied on the laser line image to separate and recognize the pattern of the detected obstacles. The laser line projector and camera which was mounted in fixed-certain position ensured a fixed relation between blobs-gap and obstacle-to-wheelchair distance. A simple linear regression from 16 obtained data was used to respresent this relation as the estimated obstacle distance. As a result, the average error between the estimation and the actual distance was 1.25 cm from 7 data testing experiments. Therefore, the experiment results show that the proposed method was able to estimate the distance between wheelchair and the obstacle.
Volume: 6
Issue: 4
Page: 1602-1609
Publish at: 2016-08-01

Efficient Feature Subset Selection Algorithm for High Dimensional Data

10.11591/ijece.v6i4.pp1880-1888
Smita Chormunge , Sudarson Jena
Feature selection approach solves the dimensionality problem by removing irrelevant and redundant features. Existing Feature selection algorithms take more time to obtain feature subset for high dimensional data. This paper proposes a feature selection algorithm based on Information gain measures for high dimensional data termed as IFSA (Information gain based Feature Selection Algorithm) to produce optimal feature subset in efficient time and improve the computational performance of learning algorithms. IFSA algorithm works in two folds: First apply filter on dataset. Second produce the small feature subset by using information gain measure. Extensive experiments are carried out to compare proposed algorithm and other methods with respect to two different classifiers (Naive bayes and IBK) on microarray and text data sets. The results demonstrate that IFSA not only produces the most select feature subset in efficient time but also improves the classifier performance.
Volume: 6
Issue: 4
Page: 1880-1888
Publish at: 2016-08-01

Coplanar Wave Guide Fed Dual Band Notched MIMO Antenna

10.11591/ijece.v6i4.pp1732-1741
D S Ramkiran , B T P Madhav , Kankara Narasimha Reddy , Shaik Shabbeer , Priyanshi Jain , Saggurthi Sowmya
A coplanar wave guide fed of semicircle monopole antenna is designed in this work to overcome polarization diversity mimo technique is implemented in this paper. The proposed antenna is designed to notch a particular band of frequencies in UWB range. The designed model is notching the first band from 2 to 5 GHz & the second band from 7 to 11 GHz. The proposed antenna has been fabricated on FR4 substrate with di electric constant 4.4 & tested for its reliability on ZNB20 vector network analyzer. The operating bands will come under WLAN, KU band, satellite communication applications. A peak realized gain of 4.3 dB with radiation efficiency 90% is attained at the operating bands of the designed antenna. At notch band significant gain reduction is observed from the current design. The antenna is showing omnidirectional radiation pattern in the pass band & disturbed radiation pattern in the notch band. Antenna is fabricated with dimensions of 40x68x1.6 mm & simulation works are carried with finite element method based HFSS tool.
Volume: 6
Issue: 4
Page: 1732-1741
Publish at: 2016-08-01

A Review of Wind Speed Estimation for Wind Turbine Systems Based on Kalman Filter Technique

10.11591/ijece.v6i4.pp1406-1411
M. Najafi Khoshrodi , Mohammad Jannati , Tole Sutikno
This paper presents a review of wind speed estimation based on Kalman filter technique applied to wind turbine systems. Generally, wind speed measurement is performed by anemometer. The wind speed provided by the anemometer is measured at a single point of the rotor plane which is not the accurate wind speed. Also, using anemometer increases the system cost, maintenance, complexity and reduces the reliability. For these reasons, estimation of wind speed is needed for wind turbine systems. In this paper, the several wind speed estimation methods based on Kalman filter method used for wind turbine systems are reviewed.
Volume: 6
Issue: 4
Page: 1406-1411
Publish at: 2016-08-01

Design of 8-point DFT based on Rademacher Functions

10.11591/ijece.v6i4.pp1551-1559
Zulfikar Zulfikar , Hubbul Walidainy
This paper presents a new circuit design for 8-point DFT algorithm based on product of Rademacher functions. The design has been adopted from the famous 8-point DFT decimation in time which is mainly constructs of two 4-point and four 2-point DFTs. However, the operation of the design circuit is different. It utilized the advantage of Rademacher functions simplicity. Therefore, the proposed design is constructed form the previous design 4-point DFT which is based on product of Rademacher functions [6]. Some analysis upon number types and internal connections to achieve a more efficient circuit have been conducted. As a result, instead of four, the proposed design requires only three 2-point DFT. Several output results of the design DFT have been removed since they are equal in terms of magnitude, two negative circuit are required as a compensation. Moreover, the previous 4-point DFT has been replaced to the efficient one. This circuit is special designed for non stand alone used, the circuit must be integrated inside the proposed 8-point DFT.
Volume: 6
Issue: 4
Page: 1551-1559
Publish at: 2016-08-01

Using A Fuzzy Number Error Correction Approach to Improve Algorithms in Blind Identification

10.11591/ijeecs.v3.i2.pp410-419
Elmostafa ATIFY , Cherki DAOUI , Ahmed BOUMEZZOUGH
As part of a detailed study on blind identification of Gaussian channels, the main  purpose was  to propose an algorithm based on cumulants and  fuzzy number approach  involved throughout the whole process of identification. Our objective was to compare the new design of the algorithm to the old one using the  higher order cumulants, namely  Alg1, Algat  and the Giannakis  algorithm. We were  able to demonstrate that the proposed method -fuzzy number error correction- increases the performance of the algorithm by calculating the ratio of squared errors of ALGaT and  AlgatF. The method can be applied to any algorithm for more improvement and effinciency.
Volume: 3
Issue: 2
Page: 410-419
Publish at: 2016-08-01

Feasibility of Power Control for Multi-Channel User in Inter-Femtocell Network

10.11591/ijece.v6i4.pp1685-1694
Anggun Fitrian Isnawati , Risanuri Hidayat , Selo Sulistyo , I Wayan Mustika
The importance of power control feasibility is closely related to the direct implementation of the system, which is related to interference between users in the femtocell network and also related to the optimal use of power transmit that can create a long-lasting battery. Implementation of the feasibility of power control in this study is focused on the centralized femtocell network with a multi-channel user. The research method in this study is based on the use of feasible solution algorithms in power control by observing the output of power vector that should be valued non-negative, which means that it can be implemented. This result indicates that all of user can reach the specified target SINR. SINR users will increase when there are additional channels for user groups. The average power of user will also decrease while increasing the amount of provided channels. The greater number of users in a user group, the less value SINR can be obtained
Volume: 6
Issue: 4
Page: 1685-1694
Publish at: 2016-08-01

On the DIBL Reduction Effect of Short Channel Carbon Nanotube Field Effect Transistors

10.11591/ijece.v6i4.pp1514-1521
Khial Aicha , Rechem Djamil , Azizi Chrifa , Zaabat Mourad
The Drain Induced Barrier Lowering (DIBL), in carbon Nanotubes-Fet (CNTFETS), is a challenging study that still needs investigation. Based on a numerical model, the Non-Equilibrium Green’s Function (NEGF) approach was applied to simulate the DIBL effect in CNTFETS. In this study,  the effect of the length gate ranging from 10 to 30 nm, for different temperatures (77K, 15K, 300K and 400K) on the DIBL was investigated. Then the variation of DIBL effect as a function of the nanotubes diameter varying over the following chiralities: (13, 0), (16, 0), (19, 0), (23, 0) and (25, 0) was undertaken. Afterworlds, we conducted the variation of DIBL impact as a function of the oxide thickness with the values: 1.5 nm, 3 nm, 4.5 nm, 6 nm and 7 nm. Moreover, the DIBL effect was carried at depending upon the high-k materials such as:  SiO_2, HfO_2, ZrO_2, 〖Ta〗_2 O_2 and TiO_2. Finally, a conclusion is made basing at the different findings which revealed that the best reduce of DIBL impact was recorded under a liquid Nitrogen temperature of 77 K.
Volume: 6
Issue: 4
Page: 1514-1521
Publish at: 2016-08-01

A Zone Based Approach for Classification and Recognition Of Telugu Handwritten Characters

10.11591/ijece.v6i4.pp1647-1653
N. Shobha Rani , Sanjay Kumar Verma , Anitta Joseph
Realization of high accuracies and efficiencies in South Indian character recognition systems is one of the principle goals to be attempted time after time so as to promote the usage of optical character recognition (OCR) for South Indian languages like Telugu. The process of character recognition comprises pre-processing, segmentation, feature extraction, classification and recognition. The feature extraction stage is meant for uniquely recognizing each character image for the purpose of classifying it. The selection of a feature extraction algorithm is very critical and important for any image processing application and mostly of the times it is directly proportional to the type of the image objects that we have to identify. For optical technologies like South Indian OCR, the feature extraction technique plays a very vital role in accuracy of recognition due to the huge character sets. In this work we mainly focus on evaluating the performance of various feature extraction techniques with respect to Telugu character recognition systems and analyze its efficiencies and accuracies in recognition of Telugu character set.
Volume: 6
Issue: 4
Page: 1647-1653
Publish at: 2016-08-01

Software Reliability Prediction using Fuzzy Min-Max Algorithm and Recurrent Neural Network Approach

10.11591/ijece.v6i4.pp1929-1938
Manmath Kumar Bhuyan , Durga Prasad Mohapatra , Srinivas Sethi
Fuzzy Logic (FL) together with Recurrent Neural Network (RNN) is used to predict the software reliability. Fuzzy Min-Max algorithm is used to optimize the number of the kgaussian nodes in the hidden layer and delayed input neurons. The optimized recurrentneural network is used to dynamically reconfigure in real-time as actual software failure. In this work, an enhanced fuzzy min-max algorithm together with recurrent neural network based machine learning technique is explored and a comparative analysis is performed for the modeling of reliability prediction in software systems. The model has been applied on data sets collected across several standard software projects during system testing phase with fault removal. The performance of our proposed approach has been tested using distributed system application failure data set.
Volume: 6
Issue: 4
Page: 1929-1938
Publish at: 2016-08-01

Wireless Indoor Localization Systems and Techniques: Survey and Comparative Study

10.11591/ijeecs.v3.i2.pp392-409
Ahmed Azeez Khudhair , Saba Qasim Jabbar , Mohammed Qasim Sulttan , Desheng Wang
The popularity, great influence and huge importance made wireless indoor localization has a unique touch, as well its wide successful on positioning and tracking systems for both human and assists also contributing to take the lead from outdoor systems in the scope of the recent research works. In this work, we will attempt to provide a survey of the existing indoor positioning solutions and attempt to classify different its techniques and systems. Five typical location predication approaches (triangulation, fingerprinting, proximity, vision analysis and trilateration) are considered here in order to analysis and provide the reader a review of the recent advances in wireless indoor localization techniques and systems to have a good understanding of state of the art technologies and motivate new research efforts in this promising direction. For these reasons, existing wireless localization position systems and location estimation schemes are reviewed. We also made a comparison among the related techniques and systems along with conclusions and future trends to identify some possible areas of enhancements. 
Volume: 3
Issue: 2
Page: 392-409
Publish at: 2016-08-01
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