cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
,
INDONESIA
Bulletin of Electrical Engineering and Informatics
Published by IAES Indonesia Section and Partners
ISSN : -     EISSN : -     DOI : -
Core Subject : Engineering,
Electrical & Electronics Engineering
Arjuna Subject : -
Articles 627 Documents
 2   3   4   5   6 
Semantic Constraints Satisfaction Based Improved Quality of Ontology Alignment Fatemeh Fakhar
Bulletin of Electrical Engineering and Informatics Vol 2, No 3: September 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v2i3.202

Abstract

Development of informative and telecommunication technologies have caused to create much dissimilar information. As well with growing different information resources in ontology designs, the importance of management these dissimilar resources has increased. In spite of most matchers use diverse measures for discovery the mappings, some semantic inconsistencies in final alignment are unavoidable. So it is essential to enhance a post-processing phase to training error patterns in the final alignment. The impartial of this research was refining the ontology semantic constraints over defining semantic constraints by a different measure for suitable weighting to the constraints. The outcomes indicated that the standard evaluation measures better in the suggestive method and comparing with other top ranked matchers the used method can create enhanced outcomes.
Neural Network Model of Estimation of Body Mass Index Based on Indirect Input Factors Seyed Hosein Hoseini; Meisam Pourahmadi-Nakhli; Ali Soltani
Bulletin of Electrical Engineering and Informatics Vol 2, No 3: September 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v2i3.207

Abstract

A well-prepared One of the main concerns of people in developing and developed societies is increasing the Body Mass Index (BMI) level. BMI, in fact can be considered as an indicator of overall health condition. Genetic aspects aside, the BMI level is affected by different factors, such as socio-economic, environmental, and physical activity level. This study investigated the effect of different factors on the BMI level of a sample population of 470 adults of three residential neighborhoods in Shiraz, Iran. The Pearson correlation coefficient, independent sample T-test and One Way ANOVA were used to extract the variables which significantly influenced the BMI. The statistical analysis showed that despite the apparent association of BMI with physical activity level, it is influenced by several factors such as age, residence record, number of children, distance to bus or taxi stop, indoor or sport exercise. Then, an Artificial Neural Network (ANN) was applied to predict the level of personal BMI. Artificial Neural Network-based methodology results showed that the generalized estimating ANN model was satisfactory in estimating the BMI based on the introduced pattern.
Naïve Bayes Decision Tree Hybrid Approach for Intrusion Detection System Bekti Maryuni Susanto
Bulletin of Electrical Engineering and Informatics Vol 2, No 3: September 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v2i3.208

Abstract

Internet is also increasing exponentially increasing intrusion or attacks by crackers exploit vulnerabilities in Internet protocols, operating systems and software applications. Intrusion or attacks against computer networks, especially the Internet has increased from year to year. Intrusion detection systems into the main stream in the information security. The main purpose of intrusion detection system is a computer system to help deal with the attack. This study presents a hybrid approach to decision tree algorithm and naïve Bayes to detect computer network intrusions. Performance is measured based on the level of accuracy, sensitivity, precision and spesificity. Dataset used in this study is a dataset KDD 99 intrusion detection system. Dataset is composed of two training data and testing data. The selection of attributes is done using the chi-square, selected the top ten attributes based on the calculation of chi-square. From the experimental results obtained by the accuracy of naïve Bayes decision tree algorithm was 99.82%.
Robust Coordinated Designing of PSS and UPFC Damping Controller Amin Safari
Bulletin of Electrical Engineering and Informatics Vol 2, No 3: September 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v2i3.204

Abstract

This paper presents the simultaneous coordinated designing of the UPFC robust power oscillation damping controller and the conventional power system stabilizer. On the basis of the linearized Phillips-Herffron model, the coordinated design problem of PSS and UPFC damping controllers over a wide range of loading conditions and system configurations is formulated as an optimization problem with the eigenvalue-based multiobjective function which is solved by a particle swarm optimization algorithm (PSO) that has a strong ability to find the most optimistic results. The stabilizers are tuned to simultaneously shift the undamped electromechanical modes to a prescribed zone in the s-plane. To ensure the robustness of the proposed simultaneous coordinated controllers tuning, the design process takes into account a wide range of operating conditions and system configurations. The effectiveness of the proposed method is demonstrated through eigenvalue analysis, nonlinear time-domain simulation and some performance indices studies under various disturbance conditions of over a wide range of loading conditions. The results of these studies show that the PSO based simultaneous coordinated controller has an excellent capability in damping power system oscillations and enhance greatly the dynamic stability of the power system.
On the Investigation of a Novel Dual-Control-Gate Floating Gate Transistor for VCO Applications Abderrezak Marzaki; V. Bidal; R. Laffont; W. Rahajandraibe; J-M. Portal; E. Bergeret; R. Bouchakour
Bulletin of Electrical Engineering and Informatics Vol 2, No 3: September 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v2i3.206

Abstract

A new MOS device called Dual-Control Gate Floating Gate Transistor (DCG-FGT) is used as a building block in analog design. This device offers new approaches in circuit design and allows developing new functionalities through two operating modes: Threshold Voltage Adjustable Mode, where the DCG-FGT behaves like a MOS transistor with an electrically adjustable threshold voltage. Mixer Signal Mode where the DCG-FGT can mix two independent signals on its floating gate. This device is developed to be fully compliant with CMOS Non Volatile Memory (NVM) process. An electrical model of the DCG-FGT has been implemented in an electrical simulator to be available for analog design. A DCG-FGT based ring oscillator is studied in this paper.
Off-Grid Energy Technologies used in Rural Areas of India Krishan Arora; Amardeep Singh Virdi
Bulletin of Electrical Engineering and Informatics Vol 2, No 3: September 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v2i3.203

Abstract

Energy scenario in India is changing with a greater pace. Growth rate of villages has increased, likewise their energy demand. With the awareness of the decreasing natural resources, non conventional energy resources are gaining lots of interest in sparsely separated areas. The rural areas of India are having the huge scarcity of energy because of limited energy resources and Grid connectivity is not feasible due to economic factors and geographical situations. So we require to establish the off grid system for the benefit of the mass. Off-grid System’s commissioning and operation done as indigenous unit, and free from grid related problems like frequency and voltage regulations and they provides flexible operation because their emphasis is on extraction of energy and conversion into useful work. This paper discusses the potential use of off-grid energy technologies as an alternative for grid extension. Off-grid Energy systems provide the solutions to the basic energy needs in the rural areas of India. These indigenously build plants are not connected to any electrical utility and can be connected with the micro grid for the better reliable operation. Due to small size their demand and load management would be easy. Off-grid system utilizes the solar thermal radiation, wind energy, geothermal energy, tidal wave, Biomass etc. There is numerous numbers of applications where we can use this energy and decrease the dependence on conventional grid.
Adaptive Mobile E-Learning Environment for Improving Educational Process Ahmed A. Saleh; Hazem M. El-Bakry
Bulletin of Electrical Engineering and Informatics Vol 2, No 2: June 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v2i2.217

Abstract

Over the last decade, the concept of e-learning has become an important topic. E-Learning today gives the student a central role in his/her own learning process. It allows students to try things out, participate in courses, tests and simulations like never before, and get more out of learning than before. On the other hand, mobile E-learning has many advantages that contribute in enhancing and facilitating the learning process. In this paper, an adaptive mobile E-Learning (AME-Learning) environment for logic gates, simplification of Boolean functions and related fields is presented. The presented model generates suitable courses for each student in a dynamic form. The proposed environment is designed by integrating visual basic, flash and other effective tools. The contributions of this paper are supporting AME-Learning environment to improve learning and an evaluation of its use in context. 
Fuzzy Logic in Human Reasoning Michael Gr. Voskoglou
Bulletin of Electrical Engineering and Informatics Vol 2, No 2: June 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v2i2.218

Abstract

Reasoning, the most important human brain operation, is characterized by a degree of fuzziness and uncertainty. In this paper we construct a fuzzy model for the reasoning process giving, through the calculation of probabilities and possibilities of all possible individuals’ profiles, a quantitative/qualitative view of their behaviour during the process. In this model the main stages of human reasoning (imagination, visualisation and generation of ideas) are represented as fuzzy subsets of   set of linguistic labels characterizing a person’s performance in each stage. Further, using the coordinates of the centre of mass of the graph of the corresponding membership function we develop a method of measuring the reasoning skills of a group of individuals. We also present a number of classroom experiments with student groups’ of our institution (T. E. I. of Patras, Greece) illustrating our results in practice.
A Study of image compression based transmission algorithm Using SPIHT for low bit rate application Ritu Chourasiya; Ajit Shrivastava
Bulletin of Electrical Engineering and Informatics Vol 2, No 2: June 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v2i2.214

Abstract

Image compression is internationally recognized up to the minute tools for decrease the communication bandwidth and save the transmitting power. It should reproduce a good quality image after compression at low bit rates. Set partitioning in hierarchical trees (SPIHT) is wavelet based computationally very fast and among the best image compression based transmission algorithm that offers good compression ratios, fast execution time and good image quality. Precise Rate Control (PRC) is the distinct characteristic of SPIHT. Image compression-based on Precise Rate Control and fast coding time are principally analyzed in this paper. Experimental result shows that, in the case of low bit-rate, the modified algorithm with fast Coding Time and Precise Rate Control can reduce the execution time and improves the quality of reconstructed image in both PSNR and perceptual when compare to at the same low bit rate.
Optimized Microstrip Antennas with Metamaterial Superstrates Using Particle Swarm Optimization Nooshin Feiz; Farzad Mohajeri; Anahita Ghaznavi
Bulletin of Electrical Engineering and Informatics Vol 2, No 2: June 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v2i2.215

Abstract

Two new designs of compact microstrip antennas, where metamaterials are placed on structure as superstrate, are proposed. The newly designed metamaterial unit cell and antenna feed position optimized by particle swarm optimization. It was found that the characteristics of novel microstrip antennas with designed metamaterials placed on the superstrate are comparable to the conventional patch antennas, while their gain, directivity and radiating efficiency are noticeably improved. Gain of microstrip antenna is increased 3dB to 4dB and level of back lobe is decresed.

Page 4 of 63 | Total Record : 627

 2   3   4   5   6 

Filter by Year

2012 2019


Reset
Filter By Issues
All Issue Vol 8, No 4: December 2019 Vol 8, No 3: September 2019 Vol 8, No 3: September 2019 Vol 8, No 2: June 2019 Vol 8, No 2: June 2019 Vol 8, No 1: March 2019 Vol 8, No 1: March 2019 Vol 7, No 4: December 2018 Vol 7, No 3: September 2018 Vol 7, No 3: September 2018 Vol 7, No 2: June 2018 Vol 7, No 1: March 2018 Vol 6, No 4: December 2017 Vol 6, No 3: September 2017 Vol 6, No 2: June 2017 Vol 6, No 1: March 2017 Vol 5, No 4: December 2016 Vol 5, No 4: December 2016 Vol 5, No 3: September 2016 Vol 5, No 2: June 2016 Vol 5, No 2: June 2016 Vol 5, No 1: March 2016 Vol 5, No 1: March 2016 Vol 4, No 4: December 2015 Vol 4, No 4: December 2015 Vol 4, No 3: September 2015 Vol 4, No 3: September 2015 Vol 4, No 2: June 2015 Vol 4, No 1: March 2015 Vol 4, No 1: March 2015 Vol 3, No 4: December 2014 Vol 3, No 4: December 2014 Vol 3, No 3: September 2014 Vol 3, No 2: June 2014 Vol 3, No 1: March 2014 Vol 2, No 4: December 2013 Vol 2, No 3: September 2013 Vol 2, No 2: June 2013 Vol 2, No 1: March 2013 Vol 1, No 4: December 2012 Vol 1, No 3: September 2012 Vol 1, No 2: June 2012 Vol 1, No 1: March 2012 More Issue