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29,734 Article Results

Simulation on microgrid connected PV system under balance and unbalance fault

10.11591/ijeecs.v13.i3.pp1332-1336
Ameerul A. J. Jeman , Naeem M. S. Hannoon , Nabil Hidayat , Mohamed M. H. Adam , Ismail Musirin , Vijayakumar V
This paper presents an analysis in Matlab/Simulink of a three-phase photovoltaic system under balance and unbalance faults in Matlab/Simulink. The aim of this paper is to investigate the performance of the system under various types of fault. The simulation involved various types of faults occurring at different distances from the point of common coupling of the PV system. This paper also aimed to identify what type of fault that may severely damage the system. The simulation results presented in this paper show that the three-phase fault in the microgrid was severely affecting the system since it involved all the three phases of the system while the distance of the fault occurrence is less influenced in the system. The purpose of this research is to observe the effect on the system based on the types of faults occur and the distance faults occur.
Volume: 13
Issue: 3
Page: 1332-1336
Publish at: 2019-03-01

Design of modified booth based multiplier with carry pre-computation

10.11591/ijeecs.v13.i3.pp1048-1055
Chaitanya CVS , Sundaresan C , P R Venkateswaran , Keerthana Prasad
Arithmetic unit is the most important component of modern embedded computer systems. Arithmetic unit generally includes floating point and fixed-point arithmetic operations and trigonometric functions. Multipliers units are the most important hardware structures in a complex arithmetic unit. With increase in chip frequency, the designer must be able to find the best set of trade-offs. The ability for faster computation is essential to achieve high performance in many DSP and Graphic processing algorithms and is why there is at least one dedicated Multiplier unit in all of the modern commercial DSP processors. Tremendous advances in VLSI technology over the past several years resulted in an increased need for high speed multipliers and compelled the designers to go for trade-offs among speed, power consumption and area. A novel modified booth multiplier design for high speed VLSI applications using pre-computation logic has been presented in this paper. The proposed architecture modeled using Verilog HDL, simulated using Cadence NCSIM and synthesized using Cadence RTL Compiler with 65nm TSMC library.The proposed multiplier architecture is compared with the existing multipliers and the results show significant improvement in speed and power dissipation.
Volume: 13
Issue: 3
Page: 1048-1055
Publish at: 2019-03-01

Development of a hybrid framework to characterize red lesions for early detection of diabetic retinopathy

10.11591/ijeecs.v13.i3.pp962-973
Deepashree Devaraj , Prasanna Kumar S.C.
Diabetic retinopathy (DR) is one of the driving reasons for visual deficiency, affecting people globally. Currently, the ophthalmologists need to inspect enormous number of images with a specific end goal to perform mass screening of Diabetic retinopathy. In this paper, an efficient Computer aided system based on a Hybrid framework is proposed for the early diagnosis of DR by extracting the early DR lesions such as microaneurysms and hemorrhages. The development of such a screening system would decrease the workload of the ophthalmologists, as they now need to look at those retinal images that are analyzed by the system, as irregularities. The retinal images obtained from standard retinal databases and Hospitals are pre-processed followed by the detection and elimination of blood vessels, optic disk and exudates. Quick propagation Neural Network is used for training and testing of the retinal fundus images since it has the fastest execution time. Linear Classification and Multi class classification of retinal fundus images are performed for the classification and grading of retinal fundus images into normal and abnormal using Alyuda Neuro-Intelligence software. A patient database is created using MySQL to store the required details of the patient and a graphical user interface is developed for an efficient usage of the system. The execution time of the system is found to be 7-9 seconds and is tested on 270 retinal fundus images. The precision and accuracy of the algorithm is 92.5% and 93.9%, respectively.
Volume: 13
Issue: 3
Page: 962-973
Publish at: 2019-03-01

Rectifier for RF energy harvesting using stub matching

10.11591/ijeecs.v13.i3.pp1007-1013
I. Adam , M.N. M. Yasin , M.E. A. Aziz , Sulaiman M.I.
One of challenge in rectenna design is the impedance matching of the antenna to the rectifier load. Rectifier exhibits complex impedance while antennas are normally designed to match either 50 Ω or 75 Ω loads. For the optimum power transfer between antenna and the rectifier circuit, both impedances should be matched. This paper presents the design and development of the 7-stages Dickson multiplier in energy harvesting. The objective of this paper is to analyze the performance of the designed multiplier together with matching circuit. An improvement of 60% output voltage is achieved by feeding -30dBm of low input power at the multiplier circuit.
Volume: 13
Issue: 3
Page: 1007-1013
Publish at: 2019-03-01

Comparative between (LiNbO3) and (LiTaO3) in detecting acoustics microwaves using classification

10.11591/ijai.v8.i1.pp33-43
Hafdaoui Hichem , Benatia Djamel
Our work is mainly about detecting acoustics microwaves in the type of BAW (Bulk acoustic waves), where we compared between Lithium Niobate (LiNbO3) and Lithium Tantalate (LiTaO3), during the propagation of acoustic microwaves in a piezoelectric substrate. In this paper, We have used the classification by Probabilistic Neural Network (PNN) as a means of numerical analysis in which we classify all the values of the real part and the imaginary part of the coefficient attenuation with the acoustic velocity for conclude whichever is the best in utilization for generating bulk acoustic waves.This study will be very interesting in modeling and realization of acoustic microwaves devices (ultrasound) based on the propagation of acoustic microwaves.
Volume: 8
Issue: 1
Page: 33-43
Publish at: 2019-03-01

Designing lesson plan of integer number operation based on fun and easy math (FEM) approach

10.11591/ijere.v8i1.15514
Darin Fouryza , Siti Maghfirotun Amin , Rooselyna Ekawati
This paper dealt with the design of learning tools, that was the development of learning implementation plan or Rencana Pelaksanaan Pembelajaran (RPP) based on Fun and Easy Math (FEM) approach in the form of a number line model. FEM was an approach in order to teach mathematics effectively to students in a fun and easy way according to the patterns and rules, making it easier for students to understand mathematical concepts and driving them to actively participate in learning activity. Furthermore, the number line model based on the rules aimed to provide the real idea of mathematical concept and avoid the mathematical manipulation. The design of RPP development was intended to create a new RPP which was divided into three activities, namely introduction, core, and closing. The method of lesson plan development used a Plomp’s development model which was consisted of three phases, namely preliminary research, prototype, and evaluation. The results of this development were expected to help students in understanding the mathematical concepts, namely integer calculation operations especially addition and subtraction, increasing student activeness in learning process, and avoiding the existence of mathematical manipulation.
Volume: 8
Issue: 1
Page: 103-109
Publish at: 2019-03-01

A categorical data analysis of impact of biogas on women of rural households – with examples from Nepal

10.11591/ijaas.v8.i1.pp34-43
Jyoti U. Devkota
This paper is based on primary data collected from 400 households of biogas consumers. A detailed structured questionnaire was developed and pretested. Here response to each question was given as a multiple choice option resulting in more than 450 categorical data. These variables studied various aspects of households using biogas. The results focused on women of these households. Interrelationships between several other variables including the role of a woman in various decisions related to the plant were analyzed. Logistic regression of decision making of woman on several variables including asset index of the family was done. This asset index was calculated from the principle component analysis of socio-economic variables. The family dynamics in the choice of biogas as renewable energy source was quantified using odds ratio and regression coefficients. The interdependence between variables was tested using Chi square test of Independence of Attributes. A novel data based approach of generation and analysis of categorical data is demonstrated here. The suitability of generation of categorical data in the absence of accurate measurement instruments is highlighted. This method is also suitable for countries without a strong backbone of good quality official records, and provides a good backup data for official statistics.
Volume: 8
Issue: 1
Page: 34-43
Publish at: 2019-03-01

Multiple error correction towards optimisation of energy in sensor network

10.11591/ijeecs.v13.i3.pp1208-1220
Samirah Razali , Kamaruddin Mamat , Nor Shahniza Kamal Bashah
Hybrid ARQ (HARQ) is among the optimum error controls implemented in Wireless Sensor Network as it reduces the overhead from retransmission and error correcting codes. The advancement in WSN includes the usage of high number of nodes and the increase in traffic with large data transmitted among the nodes had concerned the need for a new approach in error control algorithm. This paper proposed the multiple error correction based on HARQ process to aid the changes in channel with proper error correction assignment towards optimising the performances of WSN in terms of bit error rates, remaining energy, and latency for different types of congestion and channel conditions. In this study, we have developed the channel adaptation algorithm that can adapt to sudden changes and demonstrated the optimal error correcting codes as well as adjustment on the transmit power for the given channel condition and congestion presented. From the result analysed, the optimisation between the remaining energy and Bit Error rates happened on the basis of adapting to these different channel condition and congestion to minimize redundancies appended. From the result obtained, we concluded that by using multiple error correction algorithm with the aid of adjustment on the transmit power, the remaining energy can be optimised together with Bit Error rates and the excessive redundancies can be reduced
Volume: 13
Issue: 3
Page: 1208-1220
Publish at: 2019-03-01

An improved hybrid feature selection method for huge dimensional datasets

10.11591/ijai.v8.i1.pp77-86
F. Rosita Kamala , P. Ranjit Jeba Thangaiah
High dimensions of data cause overfitting in machine learning models, can lead to reduction in accuracy during classification of instances. Variable selection is the most essential function in predictive analytics, that reduces the dimensionality, without losing an appropriate information by selecting a few significant features of machine learning problems. The major techniques involved in this process are filter and wrapper methodologies. While filters measure the weight of features based on the attribute weighting criterion, the wrapper approach computes the competence of the variable selection algorithms. The wrapper approach is achieved by the selection of feature subgroups by pruning the feature space in its search space. The objective of this paper is to choose the most favourable attribute subset from the novel set of features, by using the combination method that unites the merits of filters and wrappers. To achieve this objective, an Improved Hybrid Feature Selection (IHFS) method is performed to create well-organized learners. The results of this study shows that the IHFS algorithm can build competent business applications, which have got a better precision than that of the constructed which is stated by the previous hybrid variable selection algorithms. Experimentation with UCI (University of California, Irvine) repository datasets affirms that this method have got better prediction performance, more robust to input noise and outliers, balances well with the available features, when performed comparison with the present algorithms in the literature review.
Volume: 8
Issue: 1
Page: 77-86
Publish at: 2019-03-01

What are the dimensions of thinking skills in Turkish literature: a content analysis study?

10.11591/ijere.v8i1.17215
Yalçın Dilekli
New world needs thinking generation. However, growing thinking generation is very difficult because there are many discrepancies in defining of thinking and thinking skills. Without defining thinking and its dimensions, it is nearly impossible to grow such generation. For having thinking generation, thinking and its dimensions should be described. In the past 20 years, there have been many different definitions with regard to thinking and thinking skills. But, three different approaches for defining thinking skills and needed basic cognitive operations were commonly accepted. Aim of this study whether these three approaches for defining thinking skills were accepted in Turkish literature or not. For this aim, 14 studies, selected from Turkish database, related to thinking skills were analyzed. According the content analysis results, Turkish literature follows these three movements for defining thinking skills except for belonging to specific areas. 
Volume: 8
Issue: 1
Page: 110-118
Publish at: 2019-03-01

Comparative study of the most efficient maximum power point tracking techniques for a photovoltaic system

10.11591/ijaas.v8.i1.pp73-82
I. M. Abdel-Qawee , H. G. Hamed , Maged N. F. Nashed , Ayman Y. Yousef , Khaled M. Hasaneen
In Photovoltaic (PV) systems, maximum power point tracking (MPPT) is an important challenge which faces this system. In this paper, a comparative study between two high efficient MPPT control techniques is presented. These techniques are based on the incremental conductance (IC) method. The first technique is based on optimized PI-controller gains and the other is based on Fuzzy Logic Control (FLC). The comparison between the algorithms is investigated under different environmental conditions. The comparison criteria which are taken into consideration are: the percentage tracking factor (%TF), the tracking time, the ripple voltage in the steady-state, the dynamic response, and the complexity of implementation.
Volume: 8
Issue: 1
Page: 73-82
Publish at: 2019-03-01

Occupational anxiety and self-efficacy levels among prospective teachers

10.11591/ijere.v8i1.18213
Şule Fırat Durdukoca , Tazegül Demir Atalay
This study examined the relationship between occupational anxiety and self-efficacy levels of prospective teachers enrolled in pedagogical formation training certificate program at the faculty of education in universities under the Council of Higher Education to teach in secondary schools and high schools in Turkey, and evaluated them based on diverse variables (gender, department, high school type, educational level of parents). It was a descriptive study using survey model. The study group comprised 236 prospective teachers. Research data were gathered through “Teaching Occupation Anxiety Scale” and “Teachers’ Sense of Efficacy Scale”. The study concluded that the prospective teachers’ anxiety about the teaching profession was low, whereas they had high occupational self-efficacy, and there was a moderate, negative relationship between the two variables. The study also found that occupational self-efficacy levels of the participants differed in relation to the educational level of father.
Volume: 8
Issue: 1
Page: 173-180
Publish at: 2019-03-01

Review of traffic control techniques for emergency vehicles

10.11591/ijeecs.v13.i3.pp1243-1251
Wan Mohd Hafiz bin Wan Hussin , Marshima Mohd Rosli , Rosmawati Nordin
Traffic control system play an important role to manage traffic congestion on the road especially during peak hours and peak seasons. One of the main challenges is to control the traffic when there are emergency cases at traffic light intersection especially peak hours. This could affect the route for emergency vehicles such as ambulance, fire brigade and police car to reach their destination. Due to the increase of traffic congestion during peak hours and peak seasons in Malaysia, there is a need for further evaluation of traffic control techniques. This paper reviewed and consolidated information on the different types of the existing traffic control system for road traffic management such as Radio Frequency Identification (RFID), wireless sensor network and image processing. This paper analysed and compared on the design, benefits and limitations of each technique. Through the reviews, this paper recommends the best traffic control technique for emergency vehicle that offers low price, low maintenance and can be used in various areas of applications.
Volume: 13
Issue: 3
Page: 1243-1251
Publish at: 2019-03-01

Optimisation of zinc oxide surge arrester design using gravitational search algorithm and imperialist competitive algorithm

10.11591/ijeecs.v13.i3.pp853-860
Syahirah Abd Halim , Azah Mohamed , Nor Azwan Mohamed Kamari , Afida Ayob , Ab Halim Abu Bakar , Hazlee Azil Illias
Reducing electric field stress near the energised end of surge arresters is very important because it may increase the lifetime of the highly stressed ZnO column in vicinity of the high voltage electrode. Most of previous works were based on manufacturers’ procedures and trial and error method to improve the surge arrester designs. In this work, optimisation of ZnO surge arrester design models using Gravitational Search Algorithm (GSA) and Imperialist Competitive Algorithm (ICA) is proposed. The surge arrester models were developed using finite element analysis (FEA) and used to determine the electric field distribution. The optimisation methods were used to determine the arrester design parameters which yield the minimum electric field stress surrounding the energized end of the surge arresters. GSA is less complex since it requires only two parameters to be adjusted i.e. mass and velocity while ICA demonstrates faster convergence and better achievement of global optimum. The performance of the proposed methods was then compared with the manufacturer’s test data and previously developed methods.
Volume: 13
Issue: 3
Page: 853-860
Publish at: 2019-03-01

An enhanced hybridized artificial bee colony algorithm for optimization problems

10.11591/ijai.v8.i1.pp87-94
Xingwang Huang , Xuewen Zeng , Rui Han , Xu Wang
Artificial bee colony (ABC) algorithm is a popular swarm intelligence based algorithm. Although it has been proven to be competitive to other population-based algorithms, there still exist some problems it cannot solve very well. This paper presents an Enhanced Hybridized Artificial Bee Colony (EHABC) algorithm for optimization problems. The incentive mechanism of EHABC includes enhancing the convergence speed with the information of the global best solution in the onlooker bee phase and enhancing the information exchange between bees by introducing the mutation operator of Genetic Algorithm to ABC in the mutation bee phase. In addition, to enhance the accuracy performance of ABC, the opposition-based learning method is employed to produce the initial population. Experiments are conducted on six standard benchmark functions. The results demonstrate good performance of the enhanced hybridized ABC in solving continuous numerical optimization problems over ABC GABC, HABC and EABC.
Volume: 8
Issue: 1
Page: 87-94
Publish at: 2019-03-01
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