Articles

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Advanced Search
Filter Icon

Filters article

Years

FAQ Arrow
Single Year
Range Year
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

30,411 Article Results

A Comparative Analysis on the Evaluation of Classification Algorithms in the Prediction of Diabetes

10.11591/ijece.v8i5.pp3966-3975
Ratna Patil , Sharavari Tamane
Data mining techniques are applied in many applications as a standard procedure for analyzing the large volume of available data, extracting useful information and knowledge to support the major decision-making processes. Diabetes mellitus is a continuing, general, deadly syndrome occurring all around the world. It is characterized by hyperglycemia occurring due to abnormalities in insulin secretion which would in turn result in irregular rise of glucose level. In recent years, the impact of Diabetes mellitus has increased to a great extent especially in developing countries like India. This is mainly due to the irregularities in the food habits and life style. Thus, early diagnosis and classification of this deadly disease has become an active area of research in the last decade. Numerous clustering and classifications techniques are available in the literature to visualize temporal data to identify trends for controlling diabetes mellitus. This work presents an experimental study of several algorithms which classifies Diabetes Mellitus data effectively. The existing algorithms are analyzed thoroughly to identify their advantages and limitations. The performance assessment of the existing algorithms is carried out to determine the best approach.
Volume: 8
Issue: 5
Page: 3966-3975
Publish at: 2018-10-01

Performance Analysis of Hashing Methods on the Employment of App

10.11591/ijece.v8i5.pp3512-3522
Anton Yudhana , Abdul Fadlil , Eko Prianto
The administrative process carried out continuously produces large data. So the search process takes a long time. The search process by hashing methods can save time faster. Hashing is methods that directly access data in a table by making references to the key that hashing becomes the address in the table. The performance analysis of the hashing method is done by the number of 18 digit character values. The process of analysis is done on applications that have been implemented in the application. The algorithm of hashing method analyzed is progressive overflow (PO) and linear quotient (LQ). The main purpose of performance analysis of hashing method is to know how gig the performance of each method. The results analyzed showed the average value of collision with 15 keys in the analysis of 53.3% yield the same value, while 46.7% showed the linear quotient has better performance.
Volume: 8
Issue: 5
Page: 3512-3522
Publish at: 2018-10-01

Motorcycle Movement Model Based on Markov Chain Process in Mixed Traffic

10.11591/ijece.v8i5.pp3149-3157
Rina Mardiati , Bambang R Trilaksono , Yudi S Gondokaryono , Sony S Wibowo
Mixed traffic systems are dynamically complex since there are many parameters and variables that influence the interactions between the different kinds of vehicles. Modeling the behavior of vehicles, especially motorcycle which has erratic behavior is still being developed continuously, especially in developing countries which have heterogeneous traffic. To get a better understanding of motorcycle behavior, one can look at maneuvers performed by drivers. In this research, we tried to build a model of motorcycle movement which only focused on maneuver action to avoid the obstacle along with the trajectories using a Markov Chain approach. In Markov Chain, the maneuver of motorcycle will described by state transition. The state transition model is depend on probability function which will use for determine what action will be executed next. The maneuver of motorcycle using Markov Chain model was validated by comparing the analytical result with the naturalistic data, with similarity is calculated using MSE. In order to know how good our proposed method can describe the maneuver of motorcycle, we try to compare the MSE of the trajectory based on Markov Chain model with those using polynomial approach. The MSE results showed the performance of Markov Chain Model give the smallest MSE which 0.7666 about 0.24 better than 4th order polynomial.
Volume: 8
Issue: 5
Page: 3149-3157
Publish at: 2018-10-01

A BIM-based Detailed Electrical Load Estimation, Costing and Code Checking

10.11591/ijece.v8i5.pp3484-3495
Jasim Farooq , Paawan Sharma , Sreerama Kumar R
Building Information Modeling (BIM) has established into a powerful solution for our construction requirements throughout its life cycle. Compared to conventional methods, BIM offers simple, faster and accurate methodology for modelling, estimation and analysis. In this paper, a novel Autodesk Revit add-in tool named as “Electrical System Estimation and Costing Tool”(ESECT) is proposed for the simultaneous estimation of electrical connected load, demand load, Volt Ampere per square meter, cost of electrical system construction and monthly bill from a residential building model and the add-in tool is developed by using Visual basic C# language.  Research results indicate that wide range of BIM automated tools are possible for code-checking and estimation for design analysis at all stages of electrical system development and eventually leads to better design and cost reduction.
Volume: 8
Issue: 5
Page: 3484-3495
Publish at: 2018-10-01

Star Coordinate Dimension Arrangement using Euclidean Distance and Pearson Correlation

10.11591/ijeecs.v12.i1.pp348-355
Noor Elaiza Abdul Khalid , Izyan Izzati Kamsani
Star Coordinate (SC) is a circular visualization technique that maps k-dimensional data. Its interactive features allow user to manipulate projections to search for hidden information. Without prior knowledge of relationship between dimensions users will be blindly searching for clusters. This paper proposes dimension rearrangement using Euclidean Distance and Pearson Correlations to reveal the clusters in SC. The methodology consists of four phases; Calculate the distance between individual attributes against a dependent attribute using Euclidean distance; Pearson correlation is used to obtain the correlation data attributes; Sort the correlation values in ascending order; finally, attributes table are reordered with the positive values to the right and negative values to the left according to the correlation value. The resulting tables are applied to produce the SC. This method is successful in producing clusters that makes it easier for the users to further manipulate the SC for their data analysis.
Volume: 12
Issue: 1
Page: 348-355
Publish at: 2018-10-01

Comparative Analysis of Various Testing Techniques used for Aspect-Oriented Software System

10.11591/ijeecs.v12.i1.pp51-60
Sandeep Dalal , Susheela Hooda
Nowadays, Aspect-Oriented Programming (AOP) paradigm is getting more popularity in the field of software development. But testing an Aspect-oriented software system (AOSS) is not well matured. Therefore, many researchers have been focusing on testing an AOSS. Moreover, the literature indicates that very few papers have devoted to literature survey but still there is need to study in depth of various testing techniques used for AOSS. Therefore, in this paper, a comprehensive study of existing various testing techniques for AOSS have been conducted and present a comparative analysis result of various testing techniques based on various parameters.
Volume: 12
Issue: 1
Page: 51-60
Publish at: 2018-10-01

A Comparative Analysis of Factor Effecting the Buying Judgement of Smart Phone

10.11591/ijece.v8i5.pp3057-3066
Rajni Bhalla , Amandeep Amandeep , Prateek Jain
Smart phone has various utilizations to various clients as per their necessities. With sensational rise in the usage of smart phone the individuals are considering different factors while purchasing a smart phone. This paper has put endeavor to reveal the fundamental factors which effect clients in picking up of the smart phone. A sample of 512 responses was taken through questionnaire. An organized questionnaire was planned with five point Likert scale was utilized to meeting respondent’s .Factor analysis and descriptive statistical tools were applied to extricate the basic variables influence cell phone acquiring choice. The result shows that the most important factors are physical attributes, apps and sounds while the less importance is given to other factors such as convenience, price which can also vary by age, service and gender. The future scope of this paper lies in the fact that whether age, occupation, gender makes any difference in purchasing decision of smart phone.
Volume: 8
Issue: 5
Page: 3057-3066
Publish at: 2018-10-01

Background Estimation Using Principal Component Analysis Based on Limited Memory Block Krylov Subspace Optimization

10.11591/ijece.v8i5.pp2847-2856
Ilmiyati Sari , Asep Juarna , Suryadi Harmanto , Djati Kerami
Given a video of 𝑀 frames of size ℎ × 𝑤. Background components of a video are the elements matrix which relative constant over 𝑀 frames. In PCA (principal component analysis) method these elements are referred as “principal components”. In video processing, background subtraction means excision of background component from the video. PCA method is used to get the background component. This method transforms 3 dimensions video (ℎ × 𝑤 × 𝑀) into 2 dimensions one (𝑁 × 𝑀), where 𝑁 is a linear array of size ℎ × 𝑤. The principal components are the dominant eigenvectors which are the basis of an eigenspace. The limited memory block Krylov subspace optimization then is proposed to improve performance the computation. Background estimation is obtained as the projection each input image (the first frame at each sequence image) onto space expanded principal component. The procedure was run for the standard dataset namely SBI (Scene Background Initialization) dataset consisting of 8 videos with interval resolution [146 150, 352 240], total frame [258,500]. The performances are shown with 8 metrics, especially (in average for 8 videos) percentage of error pixels (0.24%), the percentage of clustered error pixels (0.21%), multiscale structural similarity index (0.88 form maximum 1), and running time (61.68 seconds). 
Volume: 8
Issue: 5
Page: 2847-2856
Publish at: 2018-10-01

Bypass Diodes for Improving Solar Panel Performance

10.11591/ijece.v8i5.pp2703-2708
Fadliondi Fadliondi , Haris Isyanto , Budiyanto Budiyanto
The ouput power of solar panel that decreased due to shading has been improved using bypass diode method. The placement of bypass diodes increased the output current and power. New peaks and maximum powerpoints on the current-svoltage characteristics and power-voltage characteristics were observed. Without bypass diodes, the maximum output power was only around 50 W. After placing bypass diodes, the first peak around 115 W and second peak around 150 W appeared at voltage of around 31 V and 40 V, respectively.
Volume: 8
Issue: 5
Page: 2703-2708
Publish at: 2018-10-01

The Impact of Social Media Technologies on Adult Learning

10.11591/ijece.v8i5.pp3747-3755
Khalil Alsaadat
Technology and social media have presented significant tools for adult learners to learn and advance continually. Fast technological advancements have enabled development of technologies used for learning. Expansion of various tools has given professors, educaters, trainers, instructers, many alternatives towards the implementation of the technology supported learning. The use of social media can improve adult learning outcomes and academic accomplishment. Social media is increasingly proven to be beneficial in adult learning and has a huge potential for adult education. This paper sheds some lights on benefits of social media for adult learners, this is incorporated through the review of previous work and some barriers that encounters social media for learning purposes. Also some social media models are reviewed to show the growth and effect of social media in adult learning context, and suggestions and recommendations are provided.
Volume: 8
Issue: 5
Page: 3747-3755
Publish at: 2018-10-01

Fuel Station Monitoring and Automation based on WSN

10.11591/ijece.v8i5.pp3647-3656
Ehab AbdulRazzaq Hussein , Mahran Obaid Waheed
The Iraqi fuel station still now uses old technologies to control its activities from filling tanks to the filling cars. Automate the activity of fuel station is the objective of this work. The aims of fuel station automation are to save the fuel quantities and qualities supplied in fuel station, and to keep the fuel station, the worker and its main parts safe. This work uses the national instrument wireless sensor network (NI WSN). The NI WSN used to automate the protection system and level controlling system which makes the fuel station work under normal ambient temperature, and normal protection conditions. Automation based on a wireless sensor network gives excellent capabilities to automate and monitor fuel station. Through the user interface window the user monitor the status of actuators, protection system controller messages, fuel levels, water level, environment temperature, power source and its quality. The soft controller developed was built within The LABVIEW environment. The results of controller give the desired action through "on" and “off” states of the actuators.
Volume: 8
Issue: 5
Page: 3647-3656
Publish at: 2018-10-01

ERP Service for Small and Medium Enterprises in Saudi Arabia

10.11591/ijeecs.v12.i1.pp69-77
Arif Bramantoro
This paper aims to present the benefits of enterprise resource planning (ERP) service over traditional ERP through the development of ERP in the form of software-as-a-service(SaaS). This service is published in response to the fact that traditional ERP is rarely implemented in small and medium enterprises (SMEs) in Saudi Arabia due to the highcost and risk of implementation failure. This paper can be used to encourage SMEs in Saudi Arabia to exploit ERP service. ERP service can be accessed by client via anyprogramming interface over an Internet connection without special configuration, thus highlighting the core competencies of the SMEs. As a prove of concept, the stock serviceis published as a concrete ERP service. Two types of application were developed to access the service: desktop and smartphone based application. Based on a simple qualitativeassessment, it is acknowledged that ERP service is advantageous over traditional ERP systems in terms of its scalability, agile implementation, global accessibility,mobility, low operational costs, lack of upfront costs, best practices, rapid upgrading, and interoperability among other services.
Volume: 12
Issue: 1
Page: 69-77
Publish at: 2018-10-01

A New Approach to the Detection of Mammogram Boundary

10.11591/ijece.v8i5.pp3587-3593
Mohammed Rmili , Abdelmajid El Moutaouakkil , Mousatapha M. Saleck , Maksi Bouchaib , Fatiha Adnani , El Mehdi El Aroussi
Mammography is a method used for the detection of breast cancer. computer-aided diagnostic (CAD) systems help the radiologist in the detection and interpretation of mass in breast mammography. One of the important information of a mass is its contour and its form because it provides valuable information about the abnormality of a mass. The accuracy in the recognition of the shape of a mass is related to the accuracy of the detected mass contours. In this work we propose a new approach for detecting the boundaries of lesion in mammography images based on region growing algorithm without using the threshold, the proposed method requires an initial rectangle surrounding the lesion selected manually by the radiologist (Region Of Interest), where the region growing algorithm applies on lines segments that attach each pixel of this rectangle with the seed point, such as the ends (seeds) of each line segment grow in a direction towards one another. The proposed approach is evaluated on a set of data with 20 masses of the MIAS base whose contours are annotated manually by expert radiologists. The performance of the method is evaluated in terms of specificity, sensitivity, accuracy and overlap. All the findings and details of approach are presented in detail.
Volume: 8
Issue: 5
Page: 3587-3593
Publish at: 2018-10-01

Review on Security Aspects for Cloud Architecture

10.11591/ijece.v8i5.pp3129-3139
Shaz Alam , Mohd Muqeem , Suhel Ahmad Khan
Cloud computing is one of the fastest growing and popular technology in the field of computing. As the concept of cloud computing was introduced in 2006. Since then large number of IT industries join the queue to develop many cloud services and put sensitive information over cloud. In fact cloud computing is no doubt the great innovation in the field of computing but at the same time also poses many challenges. Since a large number of organizations migrate their business to cloud and hence it appears as an attractive target for the malicious attack. The purpose of the paper is to review the available literature for security concerns and highlight a relationship between vulnerabilities, attacks and threats in SaaS model. A mapping is being presented to highlight the impact of vulnerabilities and attacks.
Volume: 8
Issue: 5
Page: 3129-3139
Publish at: 2018-10-01

Galvanic Skin Response Data Classification for Emotion Detection

10.11591/ijece.v8i5.pp4004-4014
Djoko Budiyanto Setyohadi , Sri Kusrohmaniah , Sebastian Bagya Gunawan , Pranowo Pranowo , Anton Satria Prabuwono
Emotion detection is a very exhausting job and needs a complicated process; moreover, these processes also require the proper data training and appropriate algorithm. The process involves the experimental research in psychological experiment and classification methods. This paper describes a method on detection emotion using Galvanic Skin Response (GSR) data. We used the Positive and Negative Affect Schedule (PANAS) method to get a good data training. Furthermore, Support Vector Machine and a correct preprocessing are performed to classify the GSR data. To validate the proposed approach, Receiver Operating Characteristic (ROC) curve, and accuracy measurement are used. Our method shows that the accuracy is about 75.65% while ROC is about 0.8019. It means that the emotion detection can be done satisfactorily and well performed.
Volume: 8
Issue: 5
Page: 4004-4014
Publish at: 2018-10-01
1 2 3
...
2027 2028
Show 1427 of 2028

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration