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

31,456 Article Results

Electronic properties of zigzag silicene nanoribbons with single vacancy defect

10.11591/ijeecs.v19.i1.pp76-84
Mu Wen Chuan , Kien Liong Wong , Afiq Hamzah , Nurul Ezaila Alias , Cheng Siong Lim , Michael Loong Peng Tan
Silicene is envisaged as one of the two-dimensional (2D) materials for future nanoelectronic applications. In addition to its extraordinary electronic properties, it is predicted to be compatible with the silicon (Si) fabrication technology. By using nearest neighbour tight-binding (NNTB) approach, the electronic properties of zigzag silicene nanoribbons (ZSiNRs) with single vacancy (SV) defects are modelled and simulated. For 4-ZSiNR with L=2, the band structures and density of states (DOS) are computed based on SV incorporated ZSiNRs at varying defect locations. The results show that the SV defect will shift the band structure and increase the peak of DOS while the bandgap remain zero. This work provides a theoretical framework to understand the impact of SV defect which is an inevitable non-ideal effect during the fabrication of silicene nanoribbons (SiNRs).
Volume: 19
Issue: 1
Page: 76-84
Publish at: 2020-07-01

Enhancing load frequency control of multi-area multi-sources power system including conventional and renewable energy units with nonlinearities

10.11591/ijeecs.v19.i1.pp108-118
Mohamed Abdul Raouf Shafei , Ahmed Nabil Abd Alzaher , Doaa Khalil Ibrahim
The foremost aims the Load Frequency Control (LFC) is to maintain the frequency at nominal value and minimize the unscheduled tie line power flow between different control areas. The penetration of renewable energy sources into the grid is a recent challenge to the power system operators due to their different modelling rather than conventional units. In this paper, enhancing load frequency control of multi-area multi-sources power system including renewable units system with nonlinearities is proposed using a new application of proportional–integral–derivative controller with proportional controller in the inner feedback loop, which is called as PID-P controller. To investigate the performance of the proposed controller, a thermal with reheater, hydro, wind and diesel power generation units with physical constraints such as governor dead band, generation rate constraint, time delay and boiler dynamics are considered. The proposed controller parameters are optimized using different heuristic optimization techniques such: Linearized Biogeography-Based Optimization technique, Biogeography-Based Optimization technique and Genetic Algorithm. The ability of the system to handle the large variation in load conditions, time delay, participation factors, and system parameters has been verified comprehensively.
Volume: 19
Issue: 1
Page: 108-118
Publish at: 2020-07-01

The effectiveness of using deep learning algorithms in predicting students achievements

10.11591/ijeecs.v19.i1.pp388-394
Mohammed Akour , Hiba Al Sghaier , Osama Al Qasem
Educational Data Mining (EDM)  research has taking an important place as it helps in exposing useful knowledge from educational data sets to be employed and serve several purposes such as predicting students’ achievements. Predicting student’s achievements might be useful for building and adopting several changes in the educational environments as a re-action in the current educational systems. Most of the existing research have used machine learning to predict students’ achievements by using diverse attributes such as family income, students gender, students absence and level etc.  In this paper, the effort is made to explore the effectiveness of using the deep learning algorithm more precisely CNN to predict students’ achievements which could hlp in predicting if student will be able to finish their degree or not.  The experimental results reveal how the proposed model outperformed the existing approaches in terms of prediction accuracy.
Volume: 19
Issue: 1
Page: 388-394
Publish at: 2020-07-01

Dynamic feature for an effective elbow-joint angle estimation based on electromyography signals

10.11591/ijeecs.v19.i1.pp178-187
Triwiyanto Triwiyanto , Triana Rahmawati , Endro Yulianto , Muhammad Ridha Mak'ruf , Priyambada Cahya Nugraha
Some physical parameters influence the electromyography signal (EMG). when the EMG signal is used to estimate the position of the elbow. An adaptable feature was important to reduce a variation on the parameters. The aim of this paper is to estimate the joint position of the elbow using EMG signal based on a dynamic function. The major contribution of this work is that the method proposed is capable of determining the elbow position using the non-pattern (NPR) recognition (PR) method. A Wilson amplitude (WAMP) which used a dynamic threshold was used to reduce the EMG signal. The dynamic threshold was generated from the root mean square (RMS) processor. With the dynamic threshold, the model could adapt to any variations on the independent variables. In order to confirm this opportunity, this work involved ten healthy male subjects to perform an experimental protocol. After a tuning and calibration process, the mean of RMS error and correlation coefficient are 9.83º±1.69º and 0.98±0.01 for a single cycle of motion, 10.39º±1.82º and 0.97±0.01 for a continuous cycle of motion and 15.19º±1.92º and 0.94±0.02 for the arbitrary gesture. For conclusion, the performance of the prediction did not significantly depend on the varying cycle of gesture (p-value>0.05). This study has confirmed that the success of the non-pattern recognition-based prediction of elbow position is adaptable to any different subjects, loads, and speed of motion.
Volume: 19
Issue: 1
Page: 178-187
Publish at: 2020-07-01

Review of local binary pattern operators in image feature extraction

10.11591/ijeecs.v19.i1.pp23-31
Shihab Hamad Khaleefah , Salama A. Mostafa , Aida Mustapha , Mohammad Faidzul Nasrudin
With the substantial expansion of image information, image processing and computer vision have significant roles in several applications, including image classification, image segmentation, pattern recognition, and image retrieval. An important feature that has been applied in many image applications is texture. Texture is the characteristic of a set of pixels that form an image. Therefore, analyzing texture has a significant impact on segmenting an image or detecting important portions of an image. This paper provides a review on LBP and its modifications. The aim of this review is to show the current trends for using, modifying and adapting LBP in the domain of image processing.
Volume: 19
Issue: 1
Page: 23-31
Publish at: 2020-07-01

Design and simulation of 20MW photovoltaic power plant using PVSyst

10.11591/ijeecs.v19.i1.pp58-65
Ashish Grover , Anita Khosla , Dheeraj Joshi
This   paper deeply explains the analysis through simulation and sizing of grid connected photovoltaic plant of 20MW for the site Devdurga, Karnataka India with use of PV syst software tool. Primarily, the trajectories the behavior of grid tied photovoltaic system at a particular location. It gives results for the geographical position taken by maps for avoiding the oversizing or under sizing of the systems which projects the installation with very much realistic conditions. The projected area is of about 110 acres would generate 44854 MWh/year for a 20MW PV system, with a performance ratio of 76.28%.Loss fraction taken for simulation and sizing is 2%.The paper also includes the study and behavior of the system   with tilt and orientation of the PV Panel which gives better simulation results at similar latitudes for any feasible sizing.
Volume: 19
Issue: 1
Page: 58-65
Publish at: 2020-07-01

Impact analysis of SYN flood DDOS attack on HAPROXY and NLB cluster-base web servers

10.11591/ijeecs.v19.i1.pp505-512
Subhi Rafeeq Zeebaree , Karwan Fahmi Jacksi , Rizgar Ramadhan Zebari
In recent, the high available internet service is main demand of the most people. However, online services occasionally become inaccessible due to various threats and attacks. Synchronization (SYN) flood Distributed Denial of Service (DDoS) is the most used and has a serious effect on the public network services. Hence, the outcome of this attack on the commonly utilized cluster-based web servers is systematically illustrated in this paper. Moreover, performance of Internet Information Service 10.0 (IIS 10.0) on Windows server 2016 and Apache 2 on Linux Ubuntu 16.04 server is evaluated efficiently. The performance measuring process is done on both Network Load Balancing (NLB) and High Available Proxy (HAProxy) in Windows and Linux environments respectively as methods for web server load balancing.  Furthermore, stability, efficiency and responsiveness of the web servers are depended as the study evaluation metrics. Additionally, average CPU usage and throughput of the both mechanisms are measured in the proposed system. The results show that the IIS 10.0 cluster-based web servers are more responsiveness, efficiency and stable with and without SYN flood DDoS attack. Also, the performance of IIS 10.0 web server is better than of the Apache 2 in term of the average CPU usage and throughput.
Volume: 19
Issue: 1
Page: 505-512
Publish at: 2020-07-01

Determination of the obesity prevalence and its associated factors among community in Selangor, Malaysia: an ordinal logistic regression approach

10.11591/ijeecs.v19.i1.pp428-434
Noraznie Nordin , Zalina Zahid , Zaliha Ismail , Siti Munira Yassin , Hapizah Mohd Nawawi , Siti Aida Sheikh Hussin
Obesity is becoming an epidemic globally as it has been closely linked with a wide variety of chronic diseases. The identification of associated factors for obesity occurrences is still the main interest of many researchers. However, there has been extensive disagreement among researchers over possible factors associated with obesity which commonly involve the demographic factors, socioeconomic status (SES) and environmental factors. Biomarkers are also considered as important possible factors linked with the prevalence of obesity but investigations looking into their associations are still lacking. Therefore, it is important to examine factors that are associated with obesity using biomarkers and common factors to get detailed perspectives on obesity prevalence. The objectives of this study are to determine the prevalence of obesity and to examine the association between the common factors and biomarkers with obesity among community in Selangor, Malaysia. The results showed that the prevalence of obesity among participants was 49% (N=498) and Ordinal regression model with Cauchit built-in link function was the best fitted model to predict obesity. Meanwhile, three types of common factors (i.e. older age, being female and Malay ethnic) and one type of biomarker (i.e. high glucose level) were found to be significantly associated with obesity.
Volume: 19
Issue: 1
Page: 428-434
Publish at: 2020-07-01

The influence of iron losses on selecting the minimum excitation capacitance for self-excited induction generator (SEIG) with wind turbine

10.11591/ijeecs.v19.i1.pp11-22
Hayder Hussein Kadhum , Ahmed Samawi Alkhafaji , Hayder H.Emawi H. Emawi
The capacitance selection of the three-phase self-excited induction generators (SEIG) driven by wind energy is influences by the iron losses. This paper is dealing with this problem by constructing a steady state model of the generator supplying an induction oil pump. No previous literature studying the requirements of selecting the minimum excitation capacitance under the iron loss impact is found. This work is focusing on: (i) a novel evaluation of the characteristics of the induction generator taking iron loss into account. (ii) the errors caused by neglecting the iron loss. (iii) the importance of including the iron-loss in any accurate analysis. (iv) the errors occurred in the selection of the precise excitation capacitance (Cexct) when the iron-loss neglected. Nodal analysis is suggested to describe the study-state performance of the proposed model. A Matlab/simulation is established to validate the proposed model.
Volume: 19
Issue: 1
Page: 11-22
Publish at: 2020-07-01

Improving spam email detection using hybrid feature selection and sequential minimal optimisation

10.11591/ijeecs.v19.i1.pp535-542
Ahmed Al-Ajeli , Raaid Alubady , Eman S. Al-Shamery
Communication by email is counted as a popular manner through which users can exchange information. The email could be abused by spammers to spread suspicious content to the Internet users. Thus, the need to an effective way to detect spam emails are becoming clear to keep this information safe from malicious access. Many methods have been developed to address such a problem. In this paper, a machine learning technique is applied to detect spam emails. In this technique, a detection system based on sequential minimal optimization (SMO) is built to classify emails into two categories: spam and non-spam (ham). Each email is represented by a set of features extracted from its textual content. A hybrid feature selection is developed to choose a subset of these features based on their importance in process of the detection. This subset is then input into the SMO algorithm to make the detection decision. The use of such a technique provides an efficient protective mechanism to control spams. The experimental results show that the performance of the proposed method is promising compared with the existing methods.
Volume: 19
Issue: 1
Page: 535-542
Publish at: 2020-07-01

Acceptance of mobile payments by retailers using UTAUT model

10.11591/ijeecs.v19.i1.pp149-155
Nor Hapiza Mohd Ariffin , Fauziah Ahmad , Umar Mohd Haneef
Mobile payment is a form of payment transaction processing where the payer utilizes mobile communication methods together with mobile devices to initiate, authorize or complete payment. Hence, with the huge increase in mobile device usage, the retail sector will be able to collect large volumes of data. Unfortunately, most Malaysians still do not make full use of digital payments or cashless payments. Consumers in South East Asia still tend to use money or bank cards, and companies have been "limitedly effective" in encouraging a cashless revolution. The objective of this study was to identify the acceptance of mobile payment by retailers, the factors that contribute to the acceptance of mobile payment and the relationship between the factors were also the aim of this research. Several factors were contributing to mobile payments such as performance expectancy, effort expectancy, social influence, facilitating conditions, habit, privacy, perceived security and intentions which was based on the UTAUT model. This study used questionnaires to collect data and the data analysis was carried out using SPSS software. Based on the analysis that has been conducted, it can be seen that all the hypotheses of this research have a significant relationship except for the relationship between privacy and intentions that has a negative linear relationship. It is hoped that this research will give values to retailers with an understanding of the contributing factors that affect their acceptance of mobile payment technology in the retailing business.
Volume: 19
Issue: 1
Page: 149-155
Publish at: 2020-07-01

Gesture recognition vehicle using PIC microcontroller

10.11591/ijeecs.v19.i1.pp66-75
K. Selvakumar , Palanisamy R , M.Arun Noyal Doss , P. Gopi , A. Esakkipandi , L. Mathivadhanam , T. Abul Kalam Asath
In this paper we introduce a hand controlled robotic vehicle. Hand control robotic vehicle consists of a transmitter module and a receiver module. The transmitter will be placed on a hand glove and the receiver will be placed on the motor drive along with PIC microcontroller and motor driver IC. The RF transmitter sends commands to the IC which then forwards the commands to RF receiver. The RF receiver then sends the commands to PIC microcontroller on the vehicle which processes the commands so that the vehicle moves in the specified direction. It is having proposed utility in field ofconstruction, hazardous waste disposal and field  survey near borders etc. This project is developed as a travel buddy and industrial uses. Having future scope of advanced robotics that are designed and can be easily controlled using hand gesture only.
Volume: 19
Issue: 1
Page: 66-75
Publish at: 2020-07-01

Novel multiple access for cooperative networks with nakagami-m fading: system model and performance analysis

10.11591/ijeecs.v19.i1.pp233-240
Tu-Trinh Thi Nguyen , Dinh-Thuan Do
This study considers the performances of a downlink non-orthogonal multiple access (NOMA) network over Nakagami-m fading channels. This scheme employs two hop transmission. We first examine the analytical outage probability expression for each user and then these results are verified by Monte Carlo simulations. Based upon the outage probability, the maximal throughput are obtained and analyzed under different parameters. Furthermore, the effects of Nakagami-m channel fading on the probability and throughput are investigated. The results indicate that the performance of the NOMA system is excellent as appropriate selection of simulated parameters. This analysis can be recommended for designing the NOMA systems in the future fifth-generation wireless communication.
Volume: 19
Issue: 1
Page: 233-240
Publish at: 2020-07-01

Student online marketplace for university community

10.11591/ijeecs.v19.i1.pp420-427
Mohd Fahmi Ismail , Maslina Abdul Aziz , Fatin Nur Syuhada Mohd Nor , Syaripah Ruzaini Syed Aris , Suzana Zambri
This research presents student online marketplace for university community. In this study, we identify current issues faced by university students while starting their business. Based on the preliminary investigation, it was found out that there are a number of students doing part-time jobs and doing business to support their living expenses. There are varieties of businesses and services offered among students especially students staying in colleges. However, the main problem faced by students either as the buyer or the seller is there is no business platform to promote their products or services. Al-so, there is a lack of information regarding the business or services since most communications are done through h instant messaging apps such as WhatsApp and social media. By having a student online marketplace, the exchange of goods and services take place by having buyers and sellers being in contact with one another. This student online marketplace also helps small businesses to boost their sales, encourage new business start-up and inspire students who have business idea to help them to kick-start their business. Students are able to perform their business in a safe and secure environment.
Volume: 19
Issue: 1
Page: 420-427
Publish at: 2020-07-01

Design and implement a self-managed computer network for electronic exams and sharing

10.11591/ijeecs.v19.i1.pp466-475
Mokhaled N. Abdullah , Ihab A. Satam , Raid W Daoud , Suhail N. Shihab , Haider A. Kamel
To implement electronic exams and material resources sharing (which is usually limited), an operating base is must be available for trading information and correspondence management. In this paper, self-managed computer networks, no server was designed. This network aims to share information and correspondence management between the laboratory`s computers. A specific software called Packet tracer used for designing and simulating the network, also for choosing the right medium and install the IP address so that a maximum of data flowing with minimum time and no data loss can be achieved. A class-C IP address was selected since it is the famous class and it doesn`t need any special equipment. Also it has a wide range of of computers in case of expanding the network. We didn`t use a wireless medium to protect the network from hacking. The network was based on an Ethernet medium and a star-connection between the computers with an average signal distributer. An excellent result was achieved after testing the network with a low error percentage, as shown in the result section of this paper.
Volume: 19
Issue: 1
Page: 466-475
Publish at: 2020-07-01
1 2 3
...
2097 2098
Show 1218 of 2098

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