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28,451 Article Results

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

Effective Feature Set Selection and Centroid Classifier Algorithm for Web Services Discovery

10.11591/ijeecs.v5.i2.pp441-450
Venkatachalam K , Karthikeyan NK
Text preprocessing and document classification plays a vital role in web services discovery. Nearest centroid classifiers were mostly employed in high-dimensional application including genomics. Feature selection is a major problem in all classifiers and in this paper we propose to use an effective feature selection procedure followed by web services discovery through Centroid classifier algorithm. The task here in this problem statement is to effectively assign a document to one or more classes. Besides being simple and robust, the centroid classifier s not effectively used for document classification due to the computational complexity and larger memory requirements. We address these problems through dimensionality reduction and effective feature set selection before training and testing the classifier. Our preliminary experimentation and results shows that the proposed method outperforms other algorithms mentioned in the literature including K-Nearest neighbors, Naive Bayes classifier and Support Vector Machines.
Volume: 5
Issue: 2
Page: 441-450
Publish at: 2017-02-01

Comparative Study on the Effectiveness of UPFC and TCSC for Increasing Power Transfer Capability Applied to Non-linear Load Models

10.11591/ijeecs.v5.i2.pp309-316
S.Ali Abbas Al-Mawsawi
In recent years, studies have been investigated the effectiveness of UPFC and TCSC in increasing power transfer capability. However, the effectiveness of these FACTS devices in increasing power transfer capability when the load is non-linear has not been established in a comparative study yet. This paper will explore the steady-state performance of the UPFC and TCSC as impedance compensation models. The effectiveness of both FACTS devices are investigated when they are installed in multi-machine systems with different non-linear load models. Simulation results demonstrate that, upon installing UPFC, more active and reactive powers are received at the sending end bus for different types of non-linear load models. In addition, both active and reactive powers are more sensitive in changing the modulation index of the converters. Furthermore, both the active and reactive powers are less sensitive to the non-linearity of the load model type. However, active and reactive powers in case of installing TCSC are only sensitive in changing the firing angle (α) when it is between 90º to 110º. Therefore, results from this study clearly encourage the effectiveness of UPFC in comparison to TSCS in terms of increasing power transfer capability applied to non-linear load models. 
Volume: 5
Issue: 2
Page: 309-316
Publish at: 2017-02-01

Text Documents Plagiarism Detection using Rabin-Karp and Jaro-Winkler Distance Algorithms

10.11591/ijeecs.v5.i2.pp462-471
Brinardi Leonardo , Seng Hansun
Plagiarism is an act that is considered by the university as a fraud by taking someone ideas or writings without mentioning the references and claimed as his own. Plagiarism detection system is generally implement string matching algorithm in a text document to search for common words between documents. There are some algorithms used for string matching, two of them are Rabin-Karp and Jaro-Winkler Distance algorithms. Rabin-Karp algorithm is one of compatible algorithms to solve the problem of multiple string patterns, while, Jaro-Winkler Distance algorithm has advantages in terms of time. A plagiarism detection application is developed and tested on different types of documents, i.e. doc, docx, pdf and txt. From the experimental results, we obtained that both of these algorithms can be used to perform plagiarism detection of those documents, but in terms of their effectiveness, Rabin-Karp algorithm is much more effective and faster in the process of detecting the document with the size more than 1000 KB.
Volume: 5
Issue: 2
Page: 462-471
Publish at: 2017-02-01

Hardware Simulation of Active Lane Keeping Assist Based on Fuzzy Logic

10.11591/ijeecs.v5.i2.pp321-326
Noor Cholis Basjaruddin , Kuspriyanto Kuspriyanto , Didin Saefudin , Alditama Rachman
Accidents due to cross the lane (lane departure crash) of achieving 19% of all accidents. These accidents mostly caused because the driver is not concentrating or dozing. A device that can help the driver so that the vehicle does not exit lanes known as Active Lane Keeping Assist (ALKA). ALKA is a subsystem of Advanced Driver Assistance System (ADAS) and is now used in several brands of cars namely Audi, BMW, and Ford. ALKA useful to help the driver, especially on roads with monotonous situations such as toll roads. This paper presents the development of fuzzy logic-based algorithm for ALKA. A battery toy car is used as a hardware simulation to test the algorithm in real time situation. The test results at three different speeds are slow, medium,   and   high   indicate   that   the   algorithm   can   work according to design.
Volume: 5
Issue: 2
Page: 321-326
Publish at: 2017-02-01

Between Two Line Follower Stand Before the Barrier Mobile Robot-Design and Implementation

10.11591/ijeecs.v5.i2.pp433-440
Abdülkadir Çakir , Amal Ali Sreawi
A Between two line follower stand before the barrier mobile robot is a mobile machine that can detect and follow between two line drawn on the floor. Generally, the path can be white lines on a black surface or it can be black lines on a white surface. Today robot is very important in our life because it can do everything without human intervention, especially for difficult or danger works. Therefore in this research we will going to design robot that able to walk between two lines, and at the same time, this robot can pass the barriers that facing it. We conclude from this that this robot can help in many areas, such as to be a helper in hazardous work or in the transport of materials that are dangerous to human life, Or that this robot be helpful for people with disabilities where carts industry able to navigate seamlessly, also can use this robot in military actions.
Volume: 5
Issue: 2
Page: 433-440
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
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