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29,939 Article Results

A novel fast time jamming analysis transmission selection technique for radar systems

10.11591/ijece.v11i4.pp3241-3254
Kamal Hussein , Mohamed Mabrouk , Bahaaeldin M. F. Elsor , Ahmed Alieldin , Walid M. Saad
The jamming analysis transmission selection (JATS) sub-system is used in radar systems to detect and avoid the jammed frequencies in the available operating bandwidth during signal transmission and reception. The available time to measure the desired frequency spectrum and select the non-jammed frequency for transmission is very limited. A novel fast time (FAT) technique that measures the channel spectrum, detects the jamming sub-band and selects the non-jammed frequency for radar system transmission in real time is proposed. A JATS sub-system has been designed, simulated, fabricated and implemented based on FAT technique to verify the idea. The novel FAT technique utilizes time-domain analysis instead of the well-known fast Fourier transform (FFT) used in conventional JATS sub-systems. Therefore, the proposed fast time jamming analysis transmission selection (FAT-JATS) sub-system outperforms other reported JATS sub-systems as it uses less FPGA resources, avoids time-delay occurred due to complex FFT calculations and enhances the real time operation. This makes the proposed technique an excellent candidate for JATS sub-systems.
Volume: 11
Issue: 4
Page: 3241-3254
Publish at: 2021-08-01

Evaluation of a wireless low-energy mote with fuzzy algorithms and neural networks for remote environmental monitoring

10.11591/ijeecs.v23.i2.pp717-724
Ricardo Yauri , Jinmi Lezama , Milton Rios
The devices developed for applications in the internet of things have evolved technologically in the improvement of hardware and software components, in the area of optimization of the life time and to increase the capacity to save energy. This paper shows the development of a fuzzy logic algorithm and a power propagation neural network algorithm in a wireless mote (IoT end device). The fuzzy algorithm changes the transmission frequency according to the battery voltage and solar cell voltage. Moreover,the implementation of algorithms based on neural networks, implied a challenge in the evaluation and study of the energy commitment for the implementation of the algorithm, memory space optimization and low energy consumption.
Volume: 23
Issue: 2
Page: 717-724
Publish at: 2021-08-01

A comparative analysis of metaheuristic algorithms in fuzzy modelling for phishing attack detection

10.11591/ijeecs.v23.i2.pp1146-1158
Noor Syahirah Nordin , Mohd Arfian Ismail , Tole Sutikno , Shahreen Kasim , Rohayanti Hassan , Zalmiyah Zakaria , Mohd Saberi Mohamad
Phishing attack is a well-known cyber security attack that happens to many people around the world. The increasing and never-ending case of phishing attack has led to more automated approaches in detecting phishing attack. One of the methods is applying fuzzy system. Fuzzy system is a rule-based system that utilize fuzzy sets and fuzzy logic concept to solve problems. However, it is hard to achieve optimal solution when applied to complex problem where the process of identify the fuzzy parameter becomes more complicated. To cater this issue, an optimization method is needed to identify the parameter of fuzzy automatically. The optimization method derives from the metaheuristic algorithm. Therefore, the aim of this study is to make a comparative analysis between the metaheuristic algorithms in fuzzy modelling. The study was conducted to analyse which algorithm performed better when applied in two datasets: website phishing dataset (WPD) and phishing websites dataset (PWD). Then the results were obtained to show the performance of every metaheuristic algorithm in terms of convergence speed and four metrics including accuracy, recall, precision, and f-measure. 
Volume: 23
Issue: 2
Page: 1146-1158
Publish at: 2021-08-01

Energy management in connected and disconnected mode of a photovoltaic system with a battery storage using an artificial neural network technique

10.11591/ijeecs.v23.i1.pp54-62
Ezzitouni Jarmouni , Ahmed Mouhsen , Mohammed Lamhammedi , Zakarya Benizza
In order to reduce the inconvenience resulting from the use of the traditional energy sources (oil, gas and coal), the integration of renewable energy sources is among the better solutions. With the integration of green energy sources, there are several strategies that can be adopted, including the combination of clean energy sources (solar, wind, and biomass) with each other, or the combination of renewable sources with conventional sources. In this article, we focus on a photovoltaic system allowing the storage of energy in a battery with a coupling to the electrical grid. In order to overcome the problems related to the random operation that accompanies the use of photovoltaic systems, we have developed a control technique based on the use of artificial neural network technology. The complete system was designed and simulated on MATLAB Simulink.
Volume: 23
Issue: 1
Page: 54-62
Publish at: 2021-07-01

Detection of anthropogenic objects based on the spatial characteristics of their contour in aerial image

10.11591/ijeecs.v23.i1.pp206-215
Hayder Makki Hammed , Osama Majeed Hilal Almiahi , Oksana Shauchuk
In this paper, an analysis is performed for the spatial characteristics of the contours of aerial images that are homogeneous in brightness to determine the parameters that make it possible to identify anthropogenic objects with a higher probability. A complex criterion is proposed for the regions, which homogenous in brightness and an algorithm for detecting anthropogenic objects, which takes into account its area, the ratio of the total length of long contour fragments to the total length of the contour, the concentration of corners and endpoints of the contour. Also, when deciding on anthropogenicity, the particular characteristics of the contour of a homogeneous segment are used, depending on the number of long fragments of the contour. Using the proposed criterion, an algorithm of searching anthropogenic objects based on the analysis of contour elements (its shape, size and concentration) is developed. The proposed algorithm allows reducing the probability of skipping the anthropogenic object in comparison with the spatial anomaly search algorithm.
Volume: 23
Issue: 1
Page: 206-215
Publish at: 2021-07-01

Hardware implementation and performance evaluation of microcontroller-based 7-level inverter using POD-SPWM technique

10.11591/ijeecs.v23.i1.pp120-131
Hajar Chadli , Sara Chadli , Mohamed Boutouba , Mohammed Saber , Abdelwahed Tahani
Renewable energy sources are considered as inexhaustible sources for the very long-term, as they come from natural processes that are constantly replenished. However, there are a number of challenges facing renewable energy technology adoption, like the grid connecting problems. One of the main challenges relates to the grid connecting problem is the power quality issues for power converter, such as harmonics, voltage stability, and frequency fluctuation. Hence, the inverter remains the first element to be built because of its undeniable advantages in alternative continuous conversion. However, it has some disadvantages such as high component count and complex control method. This paper presents the design and implementation of a new 7-level inverter architecture with only six switches. This architecture requires fewer components compared to other 7-level inverter topologies therefore, the overall cost, control technique complexity, and conduction losses are highly reduced. A digital phase opposition disposition sinusoidal pulse width modulation (POD-SPWM) strategy using the Arduino is adopted to improve the performance of the proposed multilevel inverter (MLI) which leads to further reduction in total harmonic sistortion (THD). In this paper, the proposed inverter is tested using Proteus software and Matlab Simulink. Finally, a laboratory setup of the proposed inverter was built to validate its workability by the experimental results.
Volume: 23
Issue: 1
Page: 120-131
Publish at: 2021-07-01

Future smart grid communication-deployment of IoT: opportunities and challenges

10.11591/ijeecs.v23.i1.pp14-22
Payal Soni , J. Subhashini
India’s electrical power system grid also known as the power grid is serving us from a very long time. In this duration, there were no major developments or changes reported in the power grid system. Electrical power consumer demand is increasing drastically and the present grid system is not able to fulfil these emerging requirements. To fulfil the requirements of future power load, we need a modified system which has to be reliable, secure, intelligent and efficient. By converting the power grid into the smart grid will be a promising solution for adopting the above properties. Communication Infrastructure is a major part of the smart grid. The end-user can reduce their expenditure on electricity demand by using smart home appliance, to keep away from the rush hours and also make use of the renewable energy instead from utility, is a great example of deployment of internet of things (IoT) in grid communication. In this paper, we have provided a survey of different communication technology, applications, benefits and challenges in communication infrastructure, spatially IoT.
Volume: 23
Issue: 1
Page: 14-22
Publish at: 2021-07-01

Influence of loopback interference channel in energy harvesting full-duplex relaying network over block rayleigh fading channel: performance analysis

10.11591/ijeecs.v23.i1.pp302-307
Phu Tran Tin , Van-Duc Phan , Le Anh Vu
The main idea of this paper is to investigate the system performance (SP) ofenergy harvesting FD relaying network over block rayleigh fading channelunder the influence of the loopback interference channel. In the first stage,we proposed the system modeland analyzed the energy harvesting and theinformation transmission phases. Furthermore, the mathematical form for theoutage probability (OP) is analyzed and derived in two kinds of loopbackinterference: residual self-interference is modeled as AWGN vàresidual self-interference is still a random variable. All the mathematical, analyticalexpressions are verified using the Monte Carlo simulation.
Volume: 23
Issue: 1
Page: 302-307
Publish at: 2021-07-01

Modeling virus spread on a network using NetLogo for optimum network management

10.11591/ijeecs.v23.i1.pp370-377
Catherine R. Alimboyong
The infections in computer networks are complex. Its spread is analogous to a contagious disease which can cause destruction within a few seconds. Viruses in a computer or computer networks can spread rapidly by various means such as access to online social networking sites like twitter, Facebook, and opening of email attachments.  Thus, infections can go from being little dangerous to significantly harmful for a network. This paper proposed a simulation model that can predict the propagation of virus including the trend and the average infection rate using NetLogo software. Observed and simulated data sets were validated using chi-square tests. Results of the experiment have demonstrated accurate performance of the proposed model. The model could be very helpful for network administrators in mitigating the virus propagation and obstruct the spread of computer virus other than the usual prevention scheme particularly the use of antivirus software and inclusion of firewall security. 
Volume: 23
Issue: 1
Page: 370-377
Publish at: 2021-07-01

Dynamic response enhancement of BDFIG using vector control scheme based internal model c ontrol

10.11591/ijeecs.v23.i1.pp90-97
Ahsanullah Memon , Mohd Wazir Mustafa , Shadi Khan Baloch , Attaullah Khidrani , Touqeer Ahmed
Doublefed induction generator(DFIG) has shown tremendous success inwind turbines due to its flexibility and ability to regulate the active andreactive power. However, the presence of brushes and slip rings affects itsreliability, stability, and power quality. Furthermore, itdoes not providepromising outcomes in case of faults even in presence of the crowbar circuit.In contrast, thebrushless doubly fed induction generator(BDFIG) is a morereliable option for wind turbines than its mentioned counterpart due to theabsence of the brushes and slip rings. This research work as such attempts toimprove the dynamic performance of thevector control(VC)oriented powerwinding (PW) stator flux-based BDFIG by optimally selecting theproportional-integral(PI) gains throughinternalmodel control(IMC)approach. The proposed control scheme is utilized to regulate the speed,torque, and reactive power of the considered BDFIG independently. Contraryto the previous literature where the “trial and error method” is generallyutilized, the current research work uses the IMC for selecting the mostsuitable PI parameters, thus reduces the complexity, time consumption, anduncertainty in optimal selection. The considered BDFIG based wind turbinewith the proposed control scheme provides a better BDFIG control designwith an enhanced dynamic response as compared to that of the same withDFIG under identical operating conditions and system configurations.
Volume: 23
Issue: 1
Page: 90-97
Publish at: 2021-07-01

Geolocation based air pollution mobile monitoring system

10.11591/ijeecs.v23.i1.pp162-170
Aya Mazin Talib , Mahdi Nsaif Jasim
Air pollution is conducted to harmful substances like solid particles, gases or liquid droplets. More pollutants CO, SO2, NOx, CO2.This research is proposed the design and implementation of mobile, low cost and accurate air pollution monitoring system using Arduino microcontroller and gas sensor like MQ2, MQ131, MQ135, MQ136, DHT22, measuring materials mentioned above, smoke, Acetone, Alcohol, LPG, Toluene, temperature, humidity and GPS sensor”NEO-6M” that track the location of air pollution data, and display the analysis result on ESRI maps. The system also save the results on SQL server DB. The data is classified using data mining algorithms, presenting the result on a map helps governmental organizations, nature guards, and ecologists to analyze data in real time to simplify the decision making process. The proposed system uses J48 pruning tree classifier generated using cross validation of fold (10) with highest accuracy 100%, while IBK ≈99.67, Naïve bays ≈90.89, and SVM ≈81.4. It’s found that the common air quality for Baghdad (study area) is between (“Good”, “Satisfactory”, and “Moderately”) for 1835 records of air samples during (January and February 2021) time period.
Volume: 23
Issue: 1
Page: 162-170
Publish at: 2021-07-01

Software process improvement initiative in medium size IT organization: a case study

10.11591/ijeecs.v23.i1.pp500-509
Mohammad Zarour , Mamdouh Alenezi
IT organizations are striving to develop software solutions that meet customer needs as well as their business goals. Software organization scontinuously improve their software development practices for faster time-to-market and better software quality. The success factors to conduct process improvement initiatives are documented in the literature, but their effect and existences differ from one place to another. Hence, as the culture and organizational behavior in developing software varies across the world, it becomes interesting to report and discuss local experiences in differentregions. The experience gained in this empirical study differs from that gained in the previous work in the sense that it was the organization that initiated this initiative and this ensures the top management commitment in conducting the process improvement initiative. We have used CMMI continuous representation and SCAMPI Class C appraisal method to conduct the appraisal. In this empirical study, most of the success factors are met toconduct the process improvement initiative, including: Staff involvement and high staff morale. Several process pitfalls have been identified; an interesting one is that adopting powerful case tools is not enough to control the development process if they are not fully used.
Volume: 23
Issue: 1
Page: 500-509
Publish at: 2021-07-01

Performance of similarity explicit group iteration for solving 2D unsteady convection-diffusion equation

10.11591/ijeecs.v23.i1.pp471-478
Nur Afza Mat Ali , Jumat Sulaiman , Azali Saudi , Nor Syahida Mohamad
In this paper, a similarity finite difference (SFD) solution is addressed for thetwo-dimensional (2D) parabolic partial differential equation (PDE), specifically on the unsteady convection-diffusion problem. Structuring the similarity transformation using wave variables, we reduce the parabolic PDE into elliptic PDE. The numerical solution of the corresponding similarity equation is obtained using a second-order central SFD discretization schemeto get the second-order SFD approximation equation. We propose a four-point similarity explicit group (4-point SEG) iterative methodasa numericalsolution of the large-scale and sparse linear systems derived from SFD discretization of 2D unsteady convection-diffusion equation (CDE). To showthe 4-point SEG iteration efficiency, two iterative methods, such as Jacobiand Gauss-Seidel (GS) iterations, are also considered. The numerical experiments are carried out using three different problems to illustrate our proposed iterative method's performance. Finally, the numerical results showed that our proposed iterative method is more efficient than the Jacobiand GS iterations in terms of iteration number and execution time.
Volume: 23
Issue: 1
Page: 471-478
Publish at: 2021-07-01

Design of circular inductive pad couple with magnetic flux density analysis for wireless power transfer in EV

10.11591/ijeecs.v23.i1.pp132-139
Syasya Azra Zaini , Mohd Shahrin Abu Hanifah , Siti Hajar Yusoff , Nadia Nazieha Nanda , Ahmed Samir Badawi
As the population grows, people will consume more natural resources. This issue will lead to a low petrol supply for all land transportation, especially supplies for car consumption. Therefore, the electric vehicle (EV) has been introduced to overcome this issue. Currently, wired charging of EVs has been implemented in most of the developed country, including Malaysia. However, some drawbacks have been found from this technology. Therefore, wireless charging comes into the picture to solve this issue. Charging pad on the road and at the car are required for both wired and wireless charging. Various designs of charging pad are available. However, this paper will only focus on the circular design. There is many software that can be used to design the coil pad. Each software has a different procedure and steps to design the coil pad. In this paper, JMAG Designer software will be used to design the circular coil pad. Then, three coil pair were simulated using JMAG Designer to investigate the magnetic flux density between primary and secondary coil when varying the misalignment of 0 cm, 4 cm and 8 cm. From the simulation, there is no specific trend in the relationship between magnetic flux density and misalignment.
Volume: 23
Issue: 1
Page: 132-139
Publish at: 2021-07-01

An ensemble feature selection approach using hybrid kernel based SVM for network intrusion detection system

10.11591/ijeecs.v23.i1.pp558-565
Gaddam Venu Gopal , Gatram Rama Mohan Babu
Feature selection is a process of identifying relevant feature subset that leads to the machine learning algorithm in a well-defined manner. In this paper, anovel ensemble feature selection approach that comprises of Relief  Attribute Evaluation and hybrid kernel-based support vector machine (HK-SVM) approach is proposed as a feature selection method for network intrusion detection system (NIDS). A Hybrid approach along with the combination of Gaussian and Polynomial methods is used as a kernel for support vector machine (SVM). The key issue is to select a feature subset that yields good accuracy at a minimal computational cost. The proposed approach is implemented and compared with classical SVM and simple kernel. Kyoto2006+, a bench mark intrusion detection dataset,is used for experimental evaluation and then observations are drawn.
Volume: 23
Issue: 1
Page: 558-565
Publish at: 2021-07-01
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