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29,922 Article Results

A compact graphene based nano-antenna for communication in nano-network

10.11591/ijres.v9.i1.pp12-18
M. Saravanan , V.R. Prakash
Due to recent advances in nanotechnology, the use of nano-devices and its network becomes more popular in the field of medical, commercial and military applications. One of the major issues in designing nano-network is miniaturization of nano-devices which are limited due to communication antenna used in that device and its power constraints. At 1000nm size, an antenna resonates at around 100 THz which suffers from greater propagation loss and provides signal coverage of micrometer distances. Hence there is a need for nano-antenna with reduced size and also operating at mid infrared frequencies to provide a good signal coverage. In this paper, graphene-based nano-antenna is presented. The model resonates at 55THz frequency with a peak gain of 5.47 dB in the propagation direction. The model exploits the principle of surface plasma polarition waves for miniaturization and achieves 50% size reduction when compared to conventional nano-antenna and best suitable for nano-network communications.
Volume: 9
Issue: 1
Page: 12-18
Publish at: 2020-03-01

Qualitative doctoral research in educational settings: Reflecting on meaningful encounters

10.11591/ijere.v9i1.20360
Myria Pieridou , Maria Kambouri-Danos
In qualitative doctoral research the methodological approach, and the research design are extremely important when ensuring the rigorousness of the work. This is particularly significant for all researchers, and even more for doctoral students who are still developing their research and analytical skills. This paper aims to support doctoral students in their research journey by highlighting some of the tensions involved in conducting qualitative research by unpicking the experiences of two doctoral students to learn from the concerns, questions and reflections on the use of qualitative methodology in their doctoral research projects. The findings reveal challenges and insights with regards to reflection, educational research and the developing identity of being a researcher. The paper discusses these reflections to support and guide doctoral students as early career researchers when planning and conducting qualitative research in educational settings. 
Volume: 9
Issue: 1
Page: 21-31
Publish at: 2020-03-01

Low power 11T adder comparator design

10.11591/ijres.v9.i1.pp28-33
C.M.R. Prabhu , Tan Wee Xin Wilson , T. Bhuvaneswari
Comparator is a basic arithmetic component in a digital system and adders are the basic block of processor unit, the performance of adder will improve the system performance. The proposed 11T adder comparator is consists of three main components, namely XOR, inverter, and MUX logic. The circuit is designed and implemented based on top-down approach with 11 transistors. The proposed cell can be used at higher temperature with minimal power loss. It also gives faster response for the carry output. The proposed comparator circuit shows 63.80% improvement in power consumption than other circuits.
Volume: 9
Issue: 1
Page: 28-33
Publish at: 2020-03-01

A novel approach to assess radial distribution system for optimal sizing of microgrid

10.11591/ijeecs.v17.i3.pp1618-1625
Shalaka Chaphekar , Anjali A. Dharme
The performance of Radial Distribution System (RDS) is enhanced by maintaining the appropriate Penetration Ratio (PR) of Distributed generation.  However, it has been observed that Penetration Ratio cannot be useful to analyze the impact of a Microgrid on performance of RDS. Hence a new index ‘Relief Factor’ (RF) is defined in this paper and the impact of Microgrid at different RF is studied. This paper presents an approach to compute daily energy losses variation when Microgrids of varying RF are connected to RDS having different maximum demands.  A methodology has been proposed for finding optimal RF and location of Microgrid.  In addition, the impact of maximum demand of RDS on optimum RF is analyzed. This paper gives the novel concept of assessing the RDS for integration of Microgrid based on maximum demand of RDS as well as Microgrid and sizing of Microgrid based on optimum Relief Factor.
Volume: 17
Issue: 3
Page: 1618-1625
Publish at: 2020-03-01

Internet data traffic analysis for identifying usage trends on each day of the week in a university

10.11591/ijeecs.v17.i3.pp1442-1452
Aderibigbe Adekitan , Claudius Awosope
Internet data traffic monitoring and management are important requirements for ensuring top notch quality of service in a network. Data traffic logs contain useful hidden information that can be harnessed and interpreted as a resource for making informed network management decisions. In this study, logged internet data traffic for both the upload and download traffic in a university for one year was analysed using statistics and partial least squares approach to structural equation modelling (PLS-SEM). Time series plots, statistical properties and trends for each day of the week over a 51-week period were developed. The result shows that the most data was downloaded on Thursdays while the most upload occurred on Mondays. A path model was developed using Smart PLS3, and the performance of the model was evaluated using the construct reliability and validity of the model. The results reveal that the weekly variance is majorly accounted for by usage variations on Tuesdays, Fridays and Saturdays. An overall model R-square value of 0.876 was observed.
Volume: 17
Issue: 3
Page: 1442-1452
Publish at: 2020-03-01

Application of optimal artificial intelligence based tuned controllers to a class of embedded nonlinear power system

10.11591/ijres.v9.i1.pp83-92
Magdy A. S. Aboelela
This paper studies the implementation of the Bat Inspired Algorithm (BIA) as an optimization technique to find the optimal parameters of two classes of controllers. The first is the classical Proportional-Integral-Derivative (PID). The second is the hybrid fractional order and Brain Emotional Intelligent controller. The two controllers have been implemented, separately, for the load frequency control of a single area electric power system with three physical imbedded nonlinearities. The first nonlinearity represents the generation’s rate constraint (GRC). The second is owing to the governor dead band (GDB). The last is due to the time delay imposed by the governor-turbine link, the thermodynamic process, and the communication channels. These nonlinearities have been embedded in the simulation model of the system under study. Matlab/Simulink software has been applied to obtain the results of applying the two classes of controllers which have been, optimally, tuned using the BIA. The Integral of Square Error (ISE) criterion has been selected as an element of the objective function along with the percentage overshoot and settling time for the optimum tuning technique of the two controllers. The simulation results show that when using the hybrid fractional order and Brain Emotional Intelligent controller, it gives better response and performance indices than the conventional Proportional-Integral-Derivative (PID) controllers.
Volume: 9
Issue: 1
Page: 83-92
Publish at: 2020-03-01

A deep learning based technique for plagiarism detection: a comparative study

10.11591/ijai.v9.i1.pp81-90
Hambi El Mostafa , Faouzia Benabbou
The ease of access to the various resources on the web-enabled the democratization of access to information but at the same time allowed the appearance of enormous plagiarism problems. Many techniques of plagiarism were identified in the literature, but the plagiarism of idea steels the foremost troublesome to detect, because it uses different text manipulation at the same time. Indeed, a few strategies have been proposed to perform semantic plagiarism detection, but they are still numerous challenges to overcome. Unlike the existing states of the art, the purpose of this study is to give an overview of different propositions for plagiarism detection based on the deep learning algorithms. The main goal of these approaches is to provide a high quality of worlds or sentences vector representation. In this paper, we propose a comparative study based on a set of criterions like: Vector representation method, Level Treatment, Similarity Method and Dataset. One result of this study is that most of researches are based on world granularity and use the word2vec method for word vector representation, which sometimes is not suitable to keep the meaning of the whole sentences. Each technique has strengths and weaknesses; however, none is quite mature for semantic plagiarism detection.
Volume: 9
Issue: 1
Page: 81-90
Publish at: 2020-03-01

Literation movement for leading schools: Best practice and leadership power

10.11591/ijere.v9i1.20279
Zalik Nuryana , Agus Suroyo , Indah Nurcahyati , Farid Setiawan , Arif Rahman
The school literacy movement is the first step of scientific development, aimed at enhancing science education. It has an important role in encouraging every citizen to have basic knowledge of the nature of science through active participation. This study aims to analyze the implementation of the School Literacy Movement program designated by the Ministry of Education and Culture due to the poor reading interest Indonesia students from several international surveys. The study was conducted at Al Mujahidin Muhammadiyah Middle School in Yogyakarta, using the qualitative method of data collection. The results show that the school literacy program is not only specific for reading and writing but for also other academics as activities such as numerals, science, digitalization, finance, culture, and citizenship. In conclusion, the implementation of a structured and systematic program positive impacts on the growth of literacy achievement for all school members from students, teachers, down to employees in Indonesia.
Volume: 9
Issue: 1
Page: 227-233
Publish at: 2020-03-01

Optimization of parameters of neuro-fuzzy model

10.11591/ijeecs.v17.i3.pp1206-1209
Lyalya Bakievna Khuzyatova , Lenar Ajratovich Galiullin
The questions and problems of the formation of knowledge bases of intelligent man-machine decision support systems are considered. The neuron-fuzzy model used in the work is described. The need for increasing the efficiency of the neuron-fuzzy model in the formation of knowledge bases is being updated. The task is to develop methods and algorithms for presetting and optimizing the parameters of a fuzzy neural network. To solve difficult formalized tasks, it is necessary to develop decision support systems - expert systems based on a knowledge base. ES developers are constantly faced with the problems of “extraction” and formalization of knowledge, as well as the search for new ways to obtain it. To do this, use the extraction, acquisition and formation of knowledge. Currently, the formation of knowledge bases is relevant for the creation of hybrid technologies - fuzzy neural networks that combine the advantages of neural network models and fuzzy systems. The analysis of the efficiency of the fuzzy neural network carried out in the work showed that the quality of training of the NN largely depends on the choice of the number of fuzzy granules for input drugs. In addition, to use fuzzy information formalized by the mathematical apparatus of fuzzy logic, procedures are required for selecting optimal forms and presetting the parameters of the corresponding membership functions (MF).
Volume: 17
Issue: 3
Page: 1206-1209
Publish at: 2020-03-01

Evaluation of Firewall and Load balance in Fat-Tree Topology Based on Floodlight Controller

10.11591/ijeecs.v17.i3.pp1157-1164
Sarah Hashim Mohammed , Ammar Dawood Jasim
Today it has become important to reconfigure the networks in to new form to be more manageable, scalable, dynamic and programmable. The networks recently are so inflexible and failing to deal with the required changes for the Information Technology. Software Defined Networking (SDN) is a modern paradigm that focused to change the main idea of current network infrastructure (traditional network) by breaking the chain between the data forwarding and the control planes to introduce flexible programmability network. This paper makes comparison between the performance of traditional fat-tree network and SDN fat-tree network, which found that average Round Tripe Time (RTT) in SDN fat-tree topology will decrease by 8.96% than traditional fat-tree topology. Then shows the basic operation of OpenFlow protocol that can be applied on fat-tree topology by using SDN technology and how that can be effect on the performance of network and make it more flexible to enable the SDN module applications, like load balancer and firewall for optimizing the SDN network. In this paper the physical switches are replaced by software switches in a virtual network environment and display the SDN structure in GUI, also Floodlight controller is chosen to use as the network operating system for SDN network.
Volume: 17
Issue: 3
Page: 1157-1164
Publish at: 2020-03-01

An improved ACS algorithm for data clustering

10.11591/ijeecs.v17.i3.pp1506-1515
Ayad Mohammed Jabbar , Ku Ruhana Ku-Mahamud , Rafid Sagban
Data clustering is a data mining technique that discovers hidden patterns by creating groups (clusters) of objects. Each object in every cluster exhibits sufficient similarity to its neighbourhood, whereas objects with insufficient similarity are found in other clusters. Data clustering techniques minimise intra-cluster similarity in each cluster and maximise inter-cluster dissimilarity amongst different clusters. Ant colony optimisation for clustering (ACOC) is a swarm algorithm inspired by the foraging behaviour of ants. This algorithm minimises deterministic imperfections in which clustering is considered an optimisation problem. However, ACOC suffers from high diversification in which the algorithm cannot search for best solutions in the local neighbourhood. To improve the ACOC, this study proposes a modified ACOC, called M-ACOC, which has a modification rate parameter that controls the convergence of the algorithm. Comparison of the performance of several common clustering algorithms using real-world datasets shows that the accuracy results of the proposed algorithm surpasses other algorithms. 
Volume: 17
Issue: 3
Page: 1506-1515
Publish at: 2020-03-01

Reduction of transients in switches using embedded machine learning

10.11591/ijpeds.v11.i1.pp235-241
P. Suresh , S. George Fernandez , S. Vidyasagar , V. Kalyanasundaram , K. Vijayakumar , Vaidheeswaran Archana , Soham Chatterjee
Non-linear loads can cause transients in electronic switches. They also result in a fluctuating output when the device is switched ON or OFF. These transients can harm not only the switches but also the devices that they are connected to, by passing excess currents or voltages to the devices. By applying machine learning, we can improve the gate drive voltages of the switches and thereby reduce switch transients. A feedback system is built that measures the output transients and then feeds it to a neural network algorithm that then gives a proper gate drive to the device. This will reduce transients and also improve performances of switch based devices like inverters and converters.
Volume: 11
Issue: 1
Page: 235-241
Publish at: 2020-03-01

Design and implementation speed control system of DC Motor based on PID control and matlab simulink

10.11591/ijpeds.v11.i1.pp127-134
Salman Jasim Hammoodi , Kareem Sayegh Flayyih , Ahmed Refaat Hamad
In this paper, we first write a description of the operation of DC motors taking into account which parameters the speed depends on thereof. The PID (Proportional-Integral-Derivative) controllers are then briefly described, and then applied to the motor speed control already described , that is, as an electronic controller (PID), which is often referred to as a DC motor. The closed loop speed control of a Brush DC motor is developed applying the well-known PID control algorithm. The objective of this work is to designed and simulate a new control system to keep the speed of the DC motor constant before variations of the load (disturbances), automatically depending to the PID controller. The system was designed and implementation by using MATLAB/SIMULINK and  DC motor.
Volume: 11
Issue: 1
Page: 127-134
Publish at: 2020-03-01

The effect of proficiency pairings on EFL students’ writing ability in genre-based approach context

10.11591/ijere.v9i1.20439
Ani Susanti , Utami Widiati , Bambang Yudi Cahyono
This study aimed to know if students who work in heterogeneous (HET) pairs have significantly better writing ability than those who experience working in homogenous (HOM) pairs. This study involved two intact classes that consist of 40 EFL students taking the Intermediate Reading and Writing course in the English Education Department in one of the large private universities in Indonesia. This study employed a causal-comparative design and lasted for twelve meetings including pretest and posttest. The two groups of HET pairs and HOM pairs experienced collaborative writing activities following the steps of the Genre-based Approach. The data were collected through writing pre-test and post-test. The data were analyzed using descriptive statistics and Mann Whitney to compare the students’ post-test scores. The findings show that both high and low proficiency students who experienced collaborative writing in homogenous proficiency pairings have better writing ability than those who experienced collaborative writing in heterogeneous proficiency pairings. This indicates that pair collaboration can support language learning more optimally when there are no large proficiency gaps among pairs.
Volume: 9
Issue: 1
Page: 245-251
Publish at: 2020-03-01

Review of multiport isolated bidirectional converter interfacing renewable and energy storage systems

10.11591/ijpeds.v11.i1.pp466-467
Arulmozhi Subramanian , Santha KR
Multi port converters increasingly gain prominance in the recent past to interface renewable energy sources like photovoltaic cells, fuel cells with the load. Energy storage elements like battery and supercapacitors nd major place as an additional and alternate sources in systems with primary renewable energy sources to overcome its intermittency issues. As these energy storage element's charging and discharging cycles are to be controlled, an isolated bidirectional converter topology with transformer is used. The galvanic isolation provided by the high frequency ac link transformers in partly isolated and fully isolated topologies makes these converters most preferrable in high power applications like electric vehicles. A comprehensive review is performed on various three port partly isolated and fully isolated topologies addressed by dierent research groups. The key contributions on soft switching for reducing switching losses and improving overall converter efficiency with help of resonant elements are discussed. In addition, control strategies for power ow control with enhanced soft switching of partly isolated converters are highlighted. A summary of converter topologies is provided comparing power rating, device count, soft switching resonant elements and efficiency which gives an idea for selection of suitable topology for the desired system requirement.
Volume: 11
Issue: 1
Page: 466-467
Publish at: 2020-03-01
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