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27,404 Article Results

Incremental Learning on Non-stationary Data Stream using Ensemble Approach

10.11591/ijece.v6i4.pp1811-1817
Meenakshi Anurag Thalor , Shrishailapa Patil
Incremental Learning on non stationary distribution has been shown to be a very challenging problem in machine learning and data mining, because the joint probability distribution between the data and classes changes over time. Many real time problems suffer concept drift as they changes with time. For example, an advertisement recommendation system, in which customer’s behavior may change depending on the season of the year, on the inflation and on new products made available. An extra challenge arises when the classes to be learned are not represented equally in the training data i.e. classes are imbalanced, as most machine learning algorithms work well only when the training data  is balanced. The objective of this paper is to develop an ensemble based classification algorithm for non-stationary data stream (ENSDS) with focus on two-class problems. In addition, we are presenting here an exhaustive comparison of purposed algorithms with state-of-the-art classification approaches using different evaluation measures like recall, f-measure and g-mean
Volume: 6
Issue: 4
Page: 1811-1817
Publish at: 2016-08-01

Cooperative Improved Target Localization in harsh Environments using Direction of Arrival

10.11591/ijeecs.v3.i2.pp420-427
Alireza Safaie , Reza Shahbazian , Seyed Ali Ghorashi
Target localization is an important issue for many applications in wireless sensor networks. However, it is rather difficult to maintain the localization accuracy in mixed line-of-sight (LOS) and non-line-of-sight (NLOS) environments as NLOS propagation leads to larger error than what LOS does. In this paper, we propose a new target localization method in mixed environments where NLOS is dominant and only one base node might be in LOS toward target. We use the cooperation between receiver nodes and the direction of arrival (DOA) of received signals to estimate the target’s location. The proposed cooperative target localization method tries to identify a base node that has LOS with respect to target node and use the LOS information for precise positioning of target node. We simulate the proposed method to analyze its performance. Simulation results confirm that our proposed method improves the localization accuracy on average by 20 percent in comparison with traditional cooperative methods.
Volume: 3
Issue: 2
Page: 420-427
Publish at: 2016-08-01

Disaster Recovery Services in Intercloud using Genetic Algorithm Load Balancer

10.11591/ijece.v6i4.pp1828-1838
Tamanna Jena , J.R. Mohanty
Paradigm need to shifts from cloud computing to intercloud for disaster recoveries, which can outbreak anytime and anywhere. Natural disaster treatment includes radically high voluminous impatient job request demanding immediate attention. Under the disequilibrium circumstance, intercloud is more practical and functional option. There are need of protocols like quality of services, service level agreement and disaster recovery pacts to be discussed and clarified during the initial setup to fast track the distress scenario. Orchestration of resources in large scale distributed system having muli-objective optimization of resources, minimum energy consumption, maximum throughput, load balancing, minimum carbon footprint altogether is quite challenging. Intercloud where resources of different clouds are in align, plays crucial role in resource mapping. The objective of this paper is to improvise and fast track the mapping procedures in cloud platform and addressing impatient job requests in balanced and efficient manner. Genetic algorithm based resource allocation is proposed using pareto optimal mapping of resources to keep high utilization rate of processors, high througput and low carbon footprint.  Decision variables include utilization of processors, throughput, locality cost and real time deadline. Simulation results of load balancer using first in first out and genetic algorithm are compared under similar circumstances.
Volume: 6
Issue: 4
Page: 1828-1838
Publish at: 2016-08-01

MOCCCDTA-based Current Mode Tunable Universal Biquad Filter for Bluetooth Applications

10.11591/ijece.v6i4.pp1499-1505
Jyoti Sharma , Shantanu Chakraborty
In the last decade, there has been much effort to reduce the supply voltage of electronic circuits due to the demand for portable and battery-powered equipment. Since a low-voltage operating circuit becomes necessary, the current-mode technique is ideally suited for this purpose more than the voltage-mode one. In this paper, performance of multi output current controlled current differencing transconductance amplifier (MOCCCDTA) is evaluated using 180nm, 90nm and 45nm CMOS technology. It is found that the 45nm CMOS-basedMOCCCDTA provides highest frequency i.e. 33GHz. Further a Universal biquad filter has been designed using a single MOCCCDTA as an active element and two capacitors. Filter offers high frequency in GHz. Tunability of all the filter outputs with respect to a bias current has been analyzed. The tunability of the filter circuit for Bluetooth applications is also shown in this work. The performances of MOCCCDTA circuit and Universal biquad filter are illustrated by HSPICE. The simulation results are found to be in agreement with the theoretical predictions.
Volume: 6
Issue: 4
Page: 1499-1505
Publish at: 2016-08-01

A Secure ANFIS based Relay for Turbo-Generators Phase Backup Protection

10.11591/ijeecs.v3.i2.pp249-263
Mohamed Salah El-Din Abdel Aziz , Mohamed ElSamahy , Mohamed Moustafa , Fahmy ElBendary
This research work presents an advanced solution for the problem due to the current setting of Relay (21) when it is set to provide thermal backup protection for the generator during two common system disturbances, namely a system fault and a sudden application of a large system load. These investigations are carried out using Adaptive Neuro Fuzzy Inference System (ANFIS). The results of the investigations have shown that the ANFIS has a promising effect when applied for turbo-generators phase backup protection. Such an effect varies according to the type of data used for ANFIS testing and validating. The proposed method in this paper proposes the use of two different sets of inputs to the ANFIS, these inputs are the generator terminal impedance measurements (R and X) and the generator three phase terminal voltages and currents (V and I). The dynamic simulations of a test benchmark have been conducted using the PSCAD/EMTDC software. The results obtained from the ANFIS scheme are promising.
Volume: 3
Issue: 2
Page: 249-263
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

FPGA Based Control Method for Three Phase BLDC Motor

10.11591/ijece.v6i4.pp1434-1440
Suneeta Suneeta , R Srinivasan , Ram Sagar
This paper introduces a good method which is helpful to assist in the design and control of cost effective, efficient Brushless Direct Current (BLDC) motors. Speed Control of BLDC motor using PIC microcontrollers requires more hardware, and with the availability of FPGA versatile features motivated to develop a cost effective and reliable control with variable speed range. In this paper, an algorithm which uses the Resolver signals captured from the motor is developed with the help of Resolver to Digital converters. The program has been written using VHDL. This program generates the firing pulses required to drive the MOSFETs of three phase fully controlled bridge converter driven by drivers. Then the program has been loaded on the Spartan- 3 FPGA device and tested on the 30V, 2000 rpm BLDC motor which can make the motor run at constant speed ranging from 10 to 2000 rpm. The proposed hardware and the program are found to be very good and efficient. The results are good compare to PIC Microcontroller based design.
Volume: 6
Issue: 4
Page: 1434-1440
Publish at: 2016-08-01

Vision-based Crack Identification on the Concrete Slab Surface using Fuzzy Reasoning Rules and Self-Organizing

10.11591/ijece.v6i4.pp1577-1586
Kwang Baek Kim , Hyun Jun Park , Doo Heon Song
Identifying cracks on the surface of concrete slab structure is important for structure stability maintenance. In order to avoid subjective visual inspection, it is necessary to develop an automated identification and measuring system by vision based method. Although there have been some intelligent computerized inspection methods, they are sensitive to noise due to the brightness contrast and objects such as forms and joints of certain size often falsely classified as cracks. In this paper, we propose a new fuzzy logic based image processing method that extracts cracks from concrete slab structure including small cracks that were often neglected as noise. We extract candidate crack areas by applying fuzzy method with three color channel values of concrete slab structure. Then further refinement processes are performed with Self Organizing Map algorithm and density based noise removal process to obtain basic crack characteristic attributes for further analysis. Experimental result verifies that the proposed method is sufficiently identified cracks with various sizes with high accuracy (97.3%) among 1319 ground truth cracks from 30 images.
Volume: 6
Issue: 4
Page: 1577-1586
Publish at: 2016-08-01

Seasonal and Diurnal Variation on Tropospheric Scintillation at Ku-Band in Tropical Climate

10.11591/ijece.v6i4.pp1710-1716
Ibtihal Fawzi Elshami , Jafri Din
Tropospheric scintillation is a rapid fluctuation of the received signal amplitude which can cause propagation impairments that affect satellite communication systems operating above 10 GHz. Scintillation data was collected in Equatorial Johor Bahru, Malaysia, based on a one-year Ku-band propagation measurement campaign, utilizing MEASAT-1 Satellite with an antenna elevation angle of 75.61°. This work concentrates on the probability density function (PDF) of diurnal variations of clear sky scintillation variance analyzed on an hourly basis. Besides, seasonal variation of scintillation amplitude has been presented in this paper. From the results, it is concluded that clear sky scintillation variance is likely to occur during morning and afternoon periods. Moreover, clear sky scintillation amplitude of the South-West monsoon shows a relatively higher comparing with others monsoon seasons. Hence, signal attenuation based on seasonal and diurnal information is of great interest for the system designers to appropriately design fade margin.Tropospheric scintillation is a rapid fluctuation of the received signal amplitude which can cause propagation impairments that affect satellite communication systems operating above 10 GHz. Scintillation data was collected in Equatorial Johor Bahru, Malaysia, based on a one-year Ku-band propagation measurement campaign, utilizing MEASAT-1 Satellite with an antenna elevation angle of 75.61°. This work concentrates on the probability density function (PDF) of diurnal variations of clear sky scintillation variance analyzed on an hourly basis. Besides, seasonal variation of scintillation amplitude has been presented in this paper. From the results, it is concluded that clear sky scintillation variance is likely to occur during morning and afternoon periods. Moreover, clear sky scintillation amplitude of the South-West monsoon shows a relatively higher comparing with others monsoon seasons. Hence, signal attenuation based on seasonal and diurnal information is of great interest for the system designers to appropriately design fade margin.
Volume: 6
Issue: 4
Page: 1710-1716
Publish at: 2016-08-01

Face Recognition with Modular Two Dimensional PCA under Uncontrolled Illumination Variations

10.11591/ijece.v6i4.pp1610-1616
Venkatramaphanikumar S , K. V. Krishna Kishore
Person authenticaton using faces became one of the most popular security approaches for the last three decades.  From the literature it is found that perofrmance of most of the methods used in recognition was limited due to uncontrolled conditions like illumination and pose variations.  In this work, to address the limitations of uncontrolled environment, Modular two-dimensional Principle Component Analysis (M2D-PCA) is proposed.  In this approach, the input image is partitioned into four equal segments and then Histogram Equalization is applied to reduce illumination impact caused due to varying lightening conditions. Then M2D-PCA algorithm is applied parallel on each segment and then all features extracted from the segments are fused with wieghted summation. Experiments are carried out on bench mark datasets like extended Yale database B, ORL and AR database.   Results of the proposed approach produced good recognition rate with low computational time against various illumination environments.
Volume: 6
Issue: 4
Page: 1610-1616
Publish at: 2016-08-01

AnswerRank: Identifying Right Answers in QA system

10.11591/ijece.v6i4.pp1889-1896
Geerthik S , Venkatraman S , Rajiv Gandhi K
Ranking of answers in Community CQA (CQA) is most important task in finding best answer, which depends on type of question and relevance of answer to the question. If a question is posted in a CQA site it will get multiple answers in different views. It is the responsibility of a CQA system to identify best answers and make them display as top answers. For identifying the best answers different ranking techniques for finding the top answers are used. The main two problems we identify in the CQA sites are most of the best answers identified by CQA sites are from the users who had many followers. Also if a question is posted and if the best answer is written by a user late after many answers, the probability of the answer to be get ranked as top answer with highest upvotes is very less. This paper describes AnswerRank a method to rank the answers provided by the users in CQA sites. The AnswerRank method of ranking treats users with more followers and less followers equally. Also the answer written at various time intervals by different users are also treated equally. Only ranking is based on quality of answers. We compare AnswerRank method with existing ranking methods .The experimental results shows that our approach is best method in ranking Community CQA sites.
Volume: 6
Issue: 4
Page: 1889-1896
Publish at: 2016-08-01

A Modular Approach and Simulation of an Asynchronous Machine

10.11591/ijece.v6i4.pp1385-1394
Zineb Mekrini , Seddik Bri
This article presents the modeling and simulation of the asynchronous machine. The aim of this research is the mastery of the electrical, mechanical and magnetic behaviors of this type of machine. The Matlab/Simulink is used for simulation two types of no-load and additional load services in transitional and permanent operation. The Analytical equations describing the two operating systems are evaluated and developed by a generalized model of a three-phase induction motor. The simulation results presented in this article confirms that the proposed model gave a satisfactory response in terms of torque characteristics and speed.
Volume: 6
Issue: 4
Page: 1385-1394
Publish at: 2016-08-01

How Reliable is the Cuprates System to Recent Technology?

10.11591/ijece.v6i4.pp1534-1540
Emetere M.E. , Awojoyogbe O.B. , Uno U.E. , Isah K.U. , Sanni E.S. , Akinyemi M.L.
The emergence of cuprates as a high Tc superconductor gave high hopes in the discovery of a room temperature superconductor. It is almost three decades and the highest critical temperature attained on the cuprates is about 135K. A brief overview was conducted on the progress made so far on the cuprates. A mathematical approach was used to design a formula which could determine the experimental results of critical temperature of versed cuprates superconductors. The result of our findings shows that the possibility of attaining the experimental room temperature cuprates superconductor seems very narrow. The study recommended an elaborate approach on the hybridization of cuprates for future research. Hence, there is possibility of having cuprates with wide engineering application.
Volume: 6
Issue: 4
Page: 1534-1540
Publish at: 2016-08-01

Performance Evaluation of Fractal Array Antenna for Small Satellite Applications

10.11591/ijeecs.v3.i2.pp356-368
Yemane Ghebremedhin Teklehaimanot , Sinshaw Bekelle , Mohammed Ismail
The possible antenna which can be integrated with relatively large flat structure of solar panel of small satellites is patch antenna. The main problem of common Microstrip patch antennas is that they only operate at one or two frequencies, restricting the number of bands that equipment is capable of supporting. Another issue is that, due to the very strict space that a solar panel has, setting up more antenna array is very difficult. To reduce these problems, the use of fractal shaped antennas integrated on solar cells will be analyzed. The small satellite applications demand a high efficient multi-band antenna with a very compact size. A 2x2 Sierpinski Fractal antenna array is modeled and simulated using HFSS. The proposed work has resulted in multiband operation 10.2 GHz and 18.3GHz with increased bandwidth and radiation characteristics betterment, with added advantage of light weight and smaller dimension which is important where cost to payload is a constraint in satellites.
Volume: 3
Issue: 2
Page: 356-368
Publish at: 2016-08-01

Performance Analysis of Preemptive Based Uniprocessor Scheduling

10.11591/ijece.v6i4.pp1489-1498
M Shanmugasundaram , R Kumar , Harish M Kittur
All the real-time systems are bound with response time constraints, or else, there is a risk of  severe consequences, which includes failure. The System will fail when not able to meet the requirements according to the specifications. The problem of real-time scheduling is very vast, ranging from uni-processor to complicated-multiprocessor. In this paper, we have compared the performance of real-time tasks that should be scheduled properly, to get optimum performance. Analysis methodology and the concept of optimization leads to the design of appropriate scheduling. We have done  the analysis among RM and EDF algorithm that are important for scheduling in uni-processor.
Volume: 6
Issue: 4
Page: 1489-1498
Publish at: 2016-08-01
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