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28,451 Article Results

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

An Image Processing Method to Convert RGB Image into Binary

10.11591/ijeecs.v3.i2.pp377-382
Ratri Dwi Atmaja , Muhammad Ary Murti , Junartho Halomoan , Fiky Yosef Suratman
It is important in image processing to extract objects from their background into binary image. Binary image is used as input to feature extraction process and have an important role in generating unique feature to distinguish several classes in pattern recognition. This paper propose an image processing algorithm to obtain a binary image from RGB. The results showed that the binary image of the proposed algorithm contained the desired object.
Volume: 3
Issue: 2
Page: 377-382
Publish at: 2016-08-01

A Novel Technique of Power Flow Control in Transmission Lines Using Interline Power Flow Control

10.11591/ijeecs.v3.i2.pp296-304
Pankaj Aswal , Suyash Kumar Singh , Apurv Thakur , Kshitij Gaur
The interline power flow control (IPFC) is the flexible AC transmission system controller (FACTS) came into accountability to control the flow of power in multiple line transmission system. The following paper demonstrates the IPFC modelling using Matlab Simulink. Power flow calculations has been made using Gauss-Seidel Method. Optimization of power in terms of real and reactive power flow is achieved by comparing the actual calculated term and the predicted value.
Volume: 3
Issue: 2
Page: 296-304
Publish at: 2016-08-01

Tele-immersion

10.11591/ijict.v5i2.pp73-78
Jayanthila Devi
Tele-immersion is an advanced form of virtual reality that will allow users in different places to interact in real time in a shared simulated environment. Tele-immersion is a technology to be implemented with Internet that will enable users in different geographic locations to come together in a simulated environment to interact. Users will feel like they are actually looking, talking, and meeting with each other face-to-face in the same room.This technology causes users to feel as if they were in the same room. The tele-immersion technology uses a "tele-cubicle" which is equipped with large screens, scanners, sensors, and cameras. The tele-cubicles are linked together in real-time so that they form one larger cubicle. Through the virtual environment, participants are able to interact with other group members. Also, virtual objects and data can be passed through the walls between participants, and placed on the shared table in the middle for viewing.
Volume: 5
Issue: 2
Page: 73-78
Publish at: 2016-08-01

VLSI Architectures for Lifting Based Discrete Wavelet Transform – A Survey

10.11591/ijeecs.v3.i2.pp323-330
M. Kalaiarasi , T. Vigneswaran
Image compression is a key technology in the development of various multimedia and communication applications. Perfect reconstruction of the image without any loss in picture quality and data is very important. This can be achieved with the Discrete Wavelet Transform (DWT), which is an efficient tool for image compression and video compression. The lifting based DWT architecture has the advantage of lower computational complexities and also requires less memory compared to the conventional convolution method. The existing DWT architectures are represented in terms of folded, flipping and recursive structures. The various architectures are discussed in terms of memory, power consumption and operating frequency involved with the given size of image and required levels of decomposition. This paper presents a survey of these architectures for 2-dimensional and 3-dimensional Discrete Wavelet Transform. This study is useful for deriving an efficient method for improving the speed and hardware complexities of existing architectures.
Volume: 3
Issue: 2
Page: 323-330
Publish at: 2016-08-01

Optimal Tuning and Placement of Power System Stabilizers Based Eigenvalue

10.11591/ijeecs.v3.i2.pp273-281
Lawrence Bibaya , Chongru Liu
In this paper, an eigenvalue assignment based Particle Swarm Optimization and Participation Factor for Optimal tuning and placement of power system stabilizers is proposed. The proposed approach presents a two-step methodology to find optimal location and parameters of PSS. The Participation Factor method is computed using the modal analysis toolbox from DIgSILENT, and used to determine the power system stabilizers optimal location. A Particle Swarm Optimization algorithm is written in MATLAB to search the power system stabilizers optimal parameters. Two eigenvalue-based objective functions to ensure a maximum damping of the inter-area modes as well as of the local modes by assigning them in a robust stability area are considered. The performance of the proposed approach is tested and examined on the four-machine two-area power system. Linear modal analysis and non-linear time domain simulations show the robustness of the proposed approach.
Volume: 3
Issue: 2
Page: 273-281
Publish at: 2016-08-01
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