International Journal of Electrical and Computer Engineering
International Journal of Electrical and Computer Engineering (IJECE, ISSN: 2088-8708, a SCOPUS indexed Journal, SNIP: 1.001; SJR: 0.296; CiteScore: 0.99; SJR & CiteScore Q2 on both of the Electrical & Electronics Engineering, and Computer Science) is the official publication of the Institute of Advanced Engineering and Science (IAES). The journal is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication and computer engineering from the global world.
Articles
73 Documents
Search results for
, issue
"Vol 8, No 3: June 2018"
:
73 Documents
clear
The Fact-Finding Security Examination in NFC-enabled Mobile Payment System
Pinki Prakash Vishwakarma;
Amiya Kumar Tripathy;
Srikanth Vemuru
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 3: June 2018
Publisher : Institute of Advanced Engineering and Science
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (261.549 KB)
|
DOI: 10.11591/ijece.v8i3.pp1774-1780
Contactless payments devised for NFC technology are gaining popularity. Howbeit, with NFC technology permeating concerns about arising security threats and risks to lessen mobile payments is vital. The security analysis of NFC-enabled mobile payment system is precariously imperative due to its widespread ratification. In mobile payments security is a prevalent concern by virtue of the financial value at stave. This paper assays the security of NFC based mobile payment system. It discusses the security requirements, threats and attacks that could occur in mobile payment system and the countermeasures to be taken to secure pursuance suitability.
Design and Implementation of a Secure Communication Protocol
M. K. Viswanath;
M. Ranjith Kumar
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 3: June 2018
Publisher : Institute of Advanced Engineering and Science
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (545.071 KB)
|
DOI: 10.11591/ijece.v8i3.pp1814-1821
The main object of this paper is to present a mutual authentication protocol that guarantees security, integrity and authenticity of messages, transferred over a network system. In this paper a symmetric key cryptosystem, that satisfies all the above requirements, is developed using theorems of J.R. Chen, I.M. Vinogradov and Fermat and the decimal expansion of an irrational number.
Unbalanced Voltages Impacts on the Energy Performance of Induction Motors
Enrique C. Quispe;
Iván D. López;
Fernando J. T. E. Ferreira;
Vladimir Sousa
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 3: June 2018
Publisher : Institute of Advanced Engineering and Science
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (425.267 KB)
|
DOI: 10.11591/ijece.v8i3.pp1412-1422
This paper presents the results of a study about the effects of unbalanced voltages on the energy performance of three-phase induction motors. The principal contribution of this paper is that presents a detailed analysis of the influence of positive and negative sequence voltage components and the angle between them on several characteristics such as: line currents, losses, efficiency and power factor under different voltage unbalanced conditions. A three-phase induction motor of 3 HP was used as a case study. The results of the investigation show that the positive sequence voltage must be considered together with the voltage unbalance factor (VUF) or percent voltage unbalance (PVU) index to evaluate the performance of the induction motor. It is also shown that the behavior of the motor load influences on the positive sequence parameters next to the voltage, while in the case of negative sequence only influences the negative sequence voltage.
Fuzzy Logic based Edge Detection Method for Image Processing
Abdulrahman Moffaq Alawad;
Farah Diyana Abdul Rahman;
Othman O. Khalifa;
Norun Abdul Malek
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 3: June 2018
Publisher : Institute of Advanced Engineering and Science
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (585.043 KB)
|
DOI: 10.11591/ijece.v8i3.pp1863-1869
Edge detection is the first step in image recognition systems in a digital image processing. An effective way to resolve many information from an image such depth, curves and its surface is by analyzing its edges, because that can elucidate these characteristic when color, texture, shade or light changes slightly. Thiscan lead to misconception image or vision as it based on faulty method. This work presentsa new fuzzy logic method with an implemention. The objective of this method is to improve the edge detection task. The results are comparable to similar techniques in particular for medical images because it does not take the uncertain part into its account.
The Security Challenges of the Rhythmprint Authentication
Nakinthorn Wongnarukane;
Pramote Kuacharoen
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 3: June 2018
Publisher : Institute of Advanced Engineering and Science
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (646.99 KB)
|
DOI: 10.11591/ijece.v8i3.pp1281-1287
The Rhythmprint authentication combines an advantage of the traditional keystroke authentication and the multi-touch technology based on a touchable device such as touchpad on a laptop, a smartphone and a tablet. With the Rhythmprint authentication, the user is less likely to suffer from shoulder surfing and eavesdropping attacks. This research provides empirical evidence to verify the security performance of the Rhythmprint authentication comparing to the traditional keystroke authentication for shoulder surfing and eavesdropping attacks, when the user tries to login to a website on a laptop for 10 times in a public place while the attacker stands behind. The experimental results show that the Rhythmprint authentication provides higher security than the traditional keystroke authentication in both shoulder surfing and eavesdropping attacks.
IDDQ Testing of Low Voltage CMOS Operational Transconductance Amplifier
Maninder Kaur;
Jasdeep Kaur
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 3: June 2018
Publisher : Institute of Advanced Engineering and Science
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (534.267 KB)
|
DOI: 10.11591/ijece.v8i3.pp1467-1477
The paper describes the design for testability (DFT) of low voltage two stage operational transconductance amplifiers based on quiescent power supply current (IDDQ) testing. IDDQ testing refers to the integral circuit testing method based upon measurement of steady state power supply current for testing both digital as well as analog VLSI circuit. A built in current sensor, which introduces insignificant performance degradation of the circuit-under-test, has been proposed to monitor the power supply quiescent current changes in the circuit under test. Moreover, the BICS requires neither an external voltage reference nor a current source and able to detect, identify and localize the circuit faults. Hence the BICS requires less area and is more efficient than the conventional current sensors. The testability has also been enhanced in the testing procedure using a simple fault-injection technique. Both bridging and open faults have been analyzed in proposed work by using n-well 0.18µm CMOS technology.
Operating Task Redistribution in Hyperconverged Networks
Mohammad Alhihi;
Mohammad Reza Khosravi
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 3: June 2018
Publisher : Institute of Advanced Engineering and Science
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (321.686 KB)
|
DOI: 10.11591/ijece.v8i3.pp1629-1635
In this article, a searching method for the rational task distribution through the nodes of a hyperconverged network is presented in which it provides the rational distribution of task sets towards a better performance. With using new subsettings related to distribution of nodes in the network based on distributed processing, we can minimize average packet delay. The distribution quality is provided with using a special objective function considering the penalties in the case of having delays. This process is considered in order to create the balanced delivery systems. The initial redistribution is determined based on the minimum penalty. After performing a cycle (iteration) of redistribution in order to have the appropriate task distribution, a potential system is formed for functional optimization. In each cycle of the redistribution, a rule for optimizing contour search is used. Thus, the obtained task distribution, including the appeared failure and success, will be rational and can decrease the average packet delay in the hyperconverged networks. The effectiveness of our proposed method is evaluated by using the model of hyperconverged support system of the university E-learning provided by V.N. Karazin Kharkiv National University. The simulation results based on the model clearly confirm the acceptable and better performance of our approach in comparison to the classical approach of task distribution.
A Study on PHERB Powertrain Modeling and Analysis
J. S. Norbakyah;
A. R. Salisa
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 3: June 2018
Publisher : Institute of Advanced Engineering and Science
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (810.61 KB)
|
DOI: 10.11591/ijece.v8i3.pp1822-1829
A study on plug-in hybrid electric recreational boat (PHERB) powertrain with a special energy management strategy modeling and analysis was presented in this paper. Firstly, the boat components are sized to meet the expected power and energy requirements through a power flow analysis. Then, the model is tested numerically in the MATLAB/SIMULINK environment using the existing driving cycle. The accuracy of the model is verified by a comparison of the component between the simulation results from PHERB and advanced vehicle simulator (ADVISOR) software. The simulation results of component, fuel economy and emission of PHERB and hybrid electric vehicle models in ADVISOR are compared.
CCCORE: Cloud Container for Collaborative Research
Salini Suresh;
L. Manjunatha Rao
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 3: June 2018
Publisher : Institute of Advanced Engineering and Science
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (574.488 KB)
|
DOI: 10.11591/ijece.v8i3.pp1659-1670
Cloud-based research collaboration platforms render scalable, secure and inventive environments that enabled academic and scientific researchers to share research data, applications and provide access to high- performance computing resources. Dynamic allocation of resources according to the unpredictable needs of applications used by researchers is a key challenge in collaborative research environments. We propose the design of Cloud Container based Collaborative Research (CCCORE) framework to address dynamic resource provisioning according to the variable workload of compute and data-intensive applications or analysis tools used by researchers. Our proposed approach relies on–demand, customized containerization and comprehensive assessment of resource requirements to achieve optimal resource allocation in a dynamic collaborative research environment. We propose algorithms for dynamic resource allocation problem in a collaborative research environment, which aim to minimize finish time, improve throughput and achieve optimal resource utilization by employing the underutilized residual resources.
Data Analysis for Solar Energy Generation in a University Microgrid
Junghoon Lee;
Seong Baeg Kim;
Gyung-Leen Park
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 3: June 2018
Publisher : Institute of Advanced Engineering and Science
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (859.326 KB)
|
DOI: 10.11591/ijece.v8i3.pp1324-1330
This paper presents a data acquisition process for solar energy generation and then analyzes the dynamics of its data stream, mainly employing open software solutions such as Python, MySQL, and R. For the sequence of hourly power generations during the period from January 2016 to March 2017, a variety of queries are issued to obtain the number of valid reports as well as the average, maximum, and total amount of electricity generation in 7 solar panels. The query result on all-time, monthly, and daily basis has found that the panel-by panel difference is not so significant in a university-scale microgrid, the maximum gap being 7.1% even in the exceptional case. In addition, for the time series of daily energy generations, we develop a neural network-based trace and prediction model. Due to the time lagging effect in forecasting, the average prediction error for the next hours or days reaches 27.6%. The data stream is still being accumulated and the accuracy will be enhanced by more intensive machine learning.