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27,404 Article Results

Generalized Transformed Hough: Segmentation of Contours in Angiographic Images

10.11591/ijeecs.v5.i2.pp345-351
Oscar Eduardo Gualdron
The morphologic and functional study of cardiovascular system is of vital importance because problems related to this system are one of the main causes of   mortality in the world. It is important to mention that the left ventricle (VI) is the most susceptible to suffer severe damage, in diseases, such as arterial hypertension, mellitus diabetes or arteriosclerosis. This article presents a new methodology directed to segmentation of left ventricular contours, in angiographic images by using Generalized Hough Transform (TGH). It is important to obtain the ventricular edge, because analyzing processes of systole and diastole end, it is possible to calculate parameters of the cardiac functionality as the end-diastolic volume, end systolic volume, ejection fraction, cardiac output, Hyperkinéticos, Hypokinéticos segments, and normal; in this work we focus only on the removal of the same.
Volume: 5
Issue: 2
Page: 345-351
Publish at: 2017-02-01

An Improved Detection and Classification Technique of Harmonic Signals in Power Distribution by Utilizing Spectrogram

10.11591/ijece.v7i1.pp12-20
M.H. Jopri , A.R. Abdullah , M. Manap , M.R. Yusoff , T. Sutikno , M.F. Habban
This paper introduces an improved detection and classification technique of harmonic signals in power distribution using time-frequency distribution (TFD) analysis which is spectrogram.  The spectrogram is an appropriate approach to signify signals in jointly time-frequency domain and known as time frequency representation (TFR). The spectral information of signals can be observed and estimated plainly from TFR due to identify the characteristics of the signals. Based on rule-based classifier and the threshold settings that referred to IEEE Standard 1159 2009, the detection and classification of harmonic signals for 100 unique signals consist of various characteristic of harmonics are carried out successfully. The accuracy of proposed method is examined by using MAPE and the result show that the technique provides high accuracy. In addition, spectrogram also gives 100 percent correct classification of harmonic signals. It is proven that the proposed method is accurate, fast and cost efficient for detecting and classifying harmonic signals in distribution system.
Volume: 7
Issue: 1
Page: 12-20
Publish at: 2017-02-01

Effect of Mobility on (I-V) Characteristics of Gaas MESFET

10.11591/ijece.v7i1.pp169-175
M Azizi , C Azizi
We present in this paper an analytical model of the current–voltage (I-V) characteristics for submicron GaAs MESFET transistors. This model takes into account the analysis of the charge distribution in the active region and incorporate a field depended electron mobility, velocity saturation and charge build-up in the channel. We propose in this frame work an algorithm of simulation based on mathematical expressions obtained previously. We propose a new mobility model describing the electric field-dependent. The predictions of the simulator are compared with the experimental data [01] and have been shown to be good.
Volume: 7
Issue: 1
Page: 169-175
Publish at: 2017-02-01

CSIS: Cloud Service Identification System

10.11591/ijece.v7i1.pp513-520
Siddharth Arun , Aakash Chandrasekaran , Prakash P
To meet the need of the computational power, most of the users may go for a cloud based services for its scalability, flexibility and reliability. Cloud services have become an integral part of IT and analytical enterprises. Owing to increase in necessity of commercial cloud products being readily available, it has become extremely difficult for users to identify suitable cloud services. This paper proposes the recommender system precisely designed for the discovery of cloud services. Though there is an exponential increase in demand for cloud services, the amount of research done in this particular field is abysmal. Cloud Service Identification System (CSIS) crawls through Internet, identifies cloud services and stores them in a database. The user’s search query is processed and recommends cloud services accurately.
Volume: 7
Issue: 1
Page: 513-520
Publish at: 2017-02-01

Symmetric Key based Encryption and Decryption using Lissajous Curve Equations

10.11591/ijece.v7i1.pp285-288
Santhosh Kumar B.J. , Kruthika Vijay
Sender and receiver both uses two large similar prime numbers and uses parametric equations for swapping values of kx and by product of kx and ky is the common secret key. Generated secret key is used for encryption and decryption using ASCII key matrix of order 16X16. Applying playfair rules for encryption and decryption. Playfair is a digraph substitution cipher. Playfair makes use of pairs of letters for encryption and decryption. This application makes use of all ASCII characters which makes brute force attack impossible.
Volume: 7
Issue: 1
Page: 285-288
Publish at: 2017-02-01

New Heuristic Model for Optimal CRC Polynomial

10.11591/ijece.v7i1.pp521-525
Ahmed Salih Khirbeet , Ravie Chandren Muniyandi
Cyclic Redundancy Codes (CRCs) are important for maintaining integrity in data transmissions. CRC performance is mainly affected by the polynomial chosen. Recent increases in data throughput require a foray into determining optimal polynomials through software or hardware implementations. Most CRC implementations in use, offer less than optimal performance or are inferior to their newer published counterparts. Classical approaches to determining optimal polynomials involve brute force based searching a population set of all possible polynomials in that set. This paper evaluates performance of CRC-polynomials generated with Genetic Algorithms. It then compares the resultant polynomials, both with and without encryption headers against a benchmark polynomial.
Volume: 7
Issue: 1
Page: 521-525
Publish at: 2017-02-01

Uncertain Systems Order Reduction by Aggregation Method

10.11591/ijece.v7i1.pp244-252
Bogapurapu Gayatri , Kalyana Kiran Kumar , Akella Venkata Santosh Lakshmi , Vyakaranam Sai Karteek
In the field of control engineering, approximating the higher-order system with its reduced model copes with more intricate problems. These complex problems are addressed due to the usage of computing technologies and advanced algorithms. Reduction techniques enable the system from higher-order to lower-order form retaining the properties of former even after reduction. This document renders a method for demotion of uncertain systems based on State Space Analysis. Numerical examples are illustrated to show the accuracy of the proposed method.
Volume: 7
Issue: 1
Page: 244-252
Publish at: 2017-02-01

Decision-Making Model for Student Assessment by Unifying Numerical and Linguistic Data

10.11591/ijece.v7i1.pp363-373
Sri Andayani , Sri Hartati , Retantyo Wardoyo , Djemari Mardapi
Learning assessment deals with the process of making a decision on the quality or performance of student achievement in a number of competency standards. In the process, teacher’s preferences are provided through both test and non-test, generally in a numeric value, from which the final results are then converted into letters or linguistic value. In the proposed model, linguistic variables are exploited as a form of teacher’s preferences in non-test techniques. Consequently, the assessment data set will consist of numerical and linguistic information, so it requires a method to unify them to obtain the final value. A model that uses the 2-tuple linguistic approach and based on matrix operations is proposed to solve the problem. This study proposed a new procedure that consists of four stages: preprocessing, transformation, aggregation and exploitation. The final result is presented in 2-tuple linguistic representation and its equivalent number, accompanied by a description of the achievement of each competency. The α value of 2-tuple linguistic in the final result and in the description of each competency becomes meaningful information that can be interpreted as a comparative ability one student has related to other students, and shows how much potential is achieved to reach higher ranks. The proposed model contributes to enrich the learning assessment techniques, since the exploitation of linguistic variable as representation preferences provides flexible space for teachers in their assessments. Moreover, using the result with respect to students’ levels of each competency, students’ mastery of each attribute can be diagnosed and their progress of learning can be estimated.
Volume: 7
Issue: 1
Page: 363-373
Publish at: 2017-02-01

The Instructional Thematic Game for Children with Mild Mental Retardation: For Enhancement of Left-Right Recognition Skill

10.11591/ijece.v7i1.pp469-478
Dandhi Kuswardhana , Shinobu Hasegawa , Juhanaini Juhanaini
Children with mild mental retardation had several difficulties with interaction, remembering information, problem-solving, physic-motoric, learning problem, etc. Therefore, we proposed a novel framework to increase their learning skill using instructional thematic game rehabilitation framework based on Kinect sensor as the solution. Basically, the framework had three components. First, intellectual functions, which implied to the competencies reached through the game by the student. Second, instructional thematic game model, which was the concept to learn everything from the real single topic of the subject by associating to the abstract objects. Three, computer sensor device, which was the equipment as the bridge between the children and the program application. This research covered enhancement of right and left-hand recognition. We adopted Single Subject Research to evaluate the effectiveness of the system and to explore each of the individual’s progress. This process was divided into 2 steps. Namely, baseline stage and treatment stage. Apparently, from our finding, such framework gave the student an enhanced learning skill covering left-right recognition skill, decreasing the level of disturbance, and improving the level of learning independence.
Volume: 7
Issue: 1
Page: 469-478
Publish at: 2017-02-01

Reach and Operating Time Correction of Digital Distance Relay

10.11591/ijece.v7i1.pp58-67
A N Sarwade , P K Katti , J G Ghodekar
Current and voltage signals recieved from conventional iron core Current Transformer (CT) and Voltage Transformer plays very important role for correct operation of Distance Distance Relay (DDR). Increase in secondary burden connected to CT causes it to saturate at earlier stage. The saturated CT produces distorted secondary current, causing DDR to under reach and to operate by certain time delay. Rogowski Coils (RCs) are attaining increased acceptance and use in electrical power system due to their inherent linearity, greater accuracy and wide operating current range. This paper presents use of RC as an advanced measurement device suitable for DDR. Case study for validation of use of RC is carried out on low voltage system. The simulation results of Distance protection scheme used for protection of part of 220kV AC system shows excellent performance of RC over CT under abnormal conditions.
Volume: 7
Issue: 1
Page: 58-67
Publish at: 2017-02-01

An Accurate Scheme for Distance Measurement using an Ordinary Webcam

10.11591/ijece.v7i1.pp209-215
Hossein Zivarian , Mohammad Hossein Doost Mohammadi
Nowadays, image processing has become one of the widely used computer aided science. Two major branches of this scientific field are image enhancement and machine vision. Machine vision has many applications and demands in robotic and defense industries. Detecting distance of objects is one of the extensive research in the defense industry and robotic industries that a lot of annual projects have been involved in this issue both inside and outside the country. So, in this paper, an accurate algorithm is presented for measuring the distance of the objects from a camera. In this method, a laser transmitter is used alongside a regular webcam. The laser light is transmitted to the desired object and then the distance of the object is calculated using image processing methods and mathematical and geometric relations. The performance of the proposed algorithm was evaluated using MATLAB software. The accuracy rate of distance detection is up to 99.62%. The results also has shown that the presented algorithms make the obstacle distance measurement more reliable. Finally, the performance of the proposed algorithm was compared with other methods from different literatures.
Volume: 7
Issue: 1
Page: 209-215
Publish at: 2017-02-01

A Real Time Application of Soft Set in Parameterization Reduction for Decision Making Problem

10.11591/ijece.v7i1.pp324-329
Janmejay Pant , Amit Juyal , Himanshu Pant , Akhilesh Dwivedi
In each and every field of science and technology Information science plays an important role. Sometimes information science is facing different types of problems to handle the data and information. Data Uncertainty is one of the challenging difficulties to handle. In past, there are several theories like fuzzy set, Rough set, Probability etc.to dealing with uncertainty. Soft set theory is the youngest theory to deal with uncertainty. In this paper we discussed how to find reducts. This paper focuses on how we can transform a sample data set to binary valued information system. We are also going to reduce the dimension of data set by using the binary valued information that results a better decision.
Volume: 7
Issue: 1
Page: 324-329
Publish at: 2017-02-01

Comparative Analysis of Metaheuristic Approaches for Makespan Minimization for No Wait Flow Shop Scheduling Problem

10.11591/ijece.v7i1.pp417-423
Laxmi A. Bewoor , V. Chandra Prakash , Sagar U. Sapkal
This paper provides comparative analysis of various metaheuristic approaches for m-machine no wait flow shop scheduling (NWFSS) problem with makespan as an optimality criterion. NWFSS problem is NP hard and brute force method unable to find the solutions so approximate solutions are found with metaheuristic algorithms. The objective is to find out the scheduling sequence of jobs to minimize total completion time. In order to meet the objective criterion, existing metaheuristic techniques viz. Tabu Search (TS), Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are implemented for small and large sized problems and effectiveness of these techniques are measured with statistical metric.
Volume: 7
Issue: 1
Page: 417-423
Publish at: 2017-02-01

Performance Analysis of Non-Renewable Energy in Bangladesh

10.11591/ijeecs.v5.i2.pp290-298
M. G. Rabbani , C. T. Sattary , M. R. A. Mamun , M. M. Rahman , M. N. H. Khan
The demand of energy is dramatically increased nowadays and the demand either can renewable or non renewable depends on the drawbacks. Hence, non renewable energies show the better performance where the limitations are comprisable very few and environmental friendly. Already developed countries are being used renewable energies as the main sources of energy to produce electricity where it proved the less easy and more benefits. However, non renewable energies such as natural gas, gas generator and so on  still have been  producing more and more electricity and this amount is around 10 times more than renewable energies especially developing countries like Bangladesh. This paper is being discussed the importance of renewable energies and non renewable energies to produce electricity, comparing the different countries electricity production and the using sources. Here analysis the data of different power plants in Bangladesh and the types of fuel, CO2 emission and electricity production. In additionally, Gazipur district has been selected to show the power consumption factories with the cost analysis in selected fuel types.
Volume: 5
Issue: 2
Page: 290-298
Publish at: 2017-02-01

A Hybrid Fuzzy Logic FOPID Position Controller for DC Motor Driving Tracking Systems System

10.11591/ijeecs.v5.i2.pp327-337
Mohamed M. Ismail , Ahmed F. Elbendary , Abdelghany M. Abdelghany
This paper presents a developed application for using Fraction Order PID controller (FOPID) in controlling of DC motors installed incelestron telescope, this is done through controlling the angles of two DC motors driven the telescope. The model of celestron telescope is mathematically represented by highly non linear differential equations, this types of nonlinear model is recommended to be controlled using Artificial Intelligent based controller. In this paper, optimal fuzzy FOPID is implemented instead of conventional PID controllers. Genetic Algorithm, fuzzy logic are used for  tuning the FOPID parameters.FOPID  controller is based on  position error and its rate of change as an input vector, the proposed controller set presents a complete precision in forcing the telescope motors to satisfy the predefined position. The simulation results show the dynamic response of the system and the enhancement achieved in rising time and settling time when using FOPID. The response of FOPID is compared with the conventional PID with the same input position reference.
Volume: 5
Issue: 2
Page: 327-337
Publish at: 2017-02-01
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