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30,907 Article Results

A new formula for conjugate parameter computation based on the quadratic model

10.11591/ijeecs.v13.i3.pp954-961
Basim Abbas Hassan
The conjugancy coefficient is the very basis of a diversity of the conjugate gradient methods. In this research, we derivation a new formula of conjugate gradient methods based on the quadratic model. Our arithmetical findings have revealed that, our new method has the most excellent performance contrast to the other standard CG methods. Also give proof viewing that this method converges globally.
Volume: 13
Issue: 3
Page: 954-961
Publish at: 2019-03-01

Autonomous coop cooling system using renewable energy and water recycling

10.11591/ijeecs.v13.i3.pp1303-1310
Shamsul Kamal Ahmad Khalid , Nurul Shafiqah Che Dan , Noor Azah Samsudin , Muhammad Syariff Aripin , Nor Amirul Amri Nordin
Extreme temperature in a chicken coop can significantly affect the growth and productivity of poultry. Therefore, the temperature inside the chicken coop need to be controlled to protect it from extreme temperatures. Most of the technology use electrical energy supplied to an evaporative cooling system to control the temperature of a coop. This paper presents an autonomous chicken coop cooling system using renewable energy and water recycling (REMACT). In this study, a monitoring system with necessary hardware, control application, powered with solar power source and water recycling, has been developed. The proposed cooling system consists of hardware part such as an Internet of Things (IOT) controller platform, temperature sensor, solar panel, water pump, water storage, water drain and pipe. When the temperature sensor detects extreme temperature more than 28℃ in a chicken coop, the water in storage tank will flow throughout the pipe and pass into water pump before it irrigates the chicken coop roof. When the temperature is below 22℃, the bulb will light up to transfer heat to the chicken coop and cause the temperature drop back to a healthy range. The water drain that is attached to the roof will collect the water and return the water back to the water storage again. The software components required by the project are Arduino IDE, Thinger.io, and Android Studio Framework. Several experiments have been conducted with hot and cold scenarios. The system was able to stabilise the temperature back to a healthy range. A usability testing result demonstrates 80% satisfactory rate. The findings from the experiments show that IoT, renewable energy and water recycling have the potential for temperature control of a chicken coop.
Volume: 13
Issue: 3
Page: 1303-1310
Publish at: 2019-03-01

Investigation of the static current gain for InP/InGaAs single heterojunction bipolar transistor

10.11591/ijeecs.v13.i3.pp1345-1354
Jihane Ouchrif , Abdennaceur Baghdad , Aicha Sshel , Abdelmajid Badri , Abdelhakim Ballouk
Heterojunction Bipolar Transistors are being used increasingly in communication systems due to their electrical performances. They are considered as excellent electronic devices. This paper presents an investigation of the static current gain β based on two technological parameters related to the device geometry for InP/InGaAs Single Heterojunction Bipolar Transistor (SHBT). These parameters are the base width  and the emitter length . We used Silvaco’s TCAD tools to design the device structure, and to extract the static current gain β from I-V output characteristics figures. According to this investigation, we determined the optimal values of the examined parameters which allow obtaining the highest static current gain β.
Volume: 13
Issue: 3
Page: 1345-1354
Publish at: 2019-03-01

Jobseeker-industry matching system using automated keyword selection and visualization approach

10.11591/ijeecs.v13.i3.pp1124-1129
Norhaslinda Kamaruddin , Abdul Wahab Abdul Rahman , Ramizah Amirah Mohd Lawi
Learning opportunities are available with the accessibility of new learning technologies, discovery of untraditional learning pathways and awareness of the importance of connecting current knowledge with new learning. Such situation allows the expansion in the number of courses, programs and professional certifications offered to the students resulting to the increment of the number of graduates annually. The graduates then employed by the industry for executing the job. However, there is a growing concern about the increment of unemployed graduates in the job market. One of the reasons of the mismatch between graduates’ skills and employers’ needs is that the jobseekers tend to choose wrong job because they are overwhelmed by the choices and typically they just randomly send the application because it is time consuming to filter relevant advert. Such action may have repercussion to the industry because the employers need to select relevant candidates to fill up the post from the unfiltered pile of applications making the selection process lengthy and time consuming. In this paper we proposed an automated approach to match the graduates’ and employers’ needs using a hybrid of text mining and visualization approach to facilitate jobseekers’ task of relevant job application. The important keywords are automatically extracted based on the frequency of the word used in the adverts. Then, the graduates’ skills are matched from their personalized profile. Relevant visualization approaches are incorporated to facilitate the selection. It is practical and feasible for the proposed approach to be incorporated in job searching websites that can optimize jobseekers and employers time and effort for a suitable match.
Volume: 13
Issue: 3
Page: 1124-1129
Publish at: 2019-03-01

Identification of plasmodium falciparum and plasmodium vivax on digital image of thin blood films gf

10.11591/ijeecs.v13.i3.pp933-944
Hanung Adi Nugroho , Made Satria Wibawa , Noor Akhmad Setiawan , E. Elsa Herdiana Murhandarwati , Ratna Lestari Budiani Buana
Observing presence of Plasmodium parasite of stained thick or thin blood films through microscopic examination is a gold standard for malaria diagnosis.  Although the microscopic examination has been extensively used, misidentification might occur caused by human factors.  In order to overcome misidentification problem, several studies have been conducted to develop a computer-aided malaria diagnosis (CADx) to assist paramedics in decision-making.  This study proposes an approach to identify species and stage of Plasmodium falciparum and Plasmodium vivax on thin blood films collected from the Laboratory of Parasitology, Faculty of Medicine, Universitas Gadjah Mada.  Adaptive k-means clustering is applied to segment Plasmodium parasites.  A total of 39 features consisting of shape and texture features are extracted and then selected by using wrapper-based forward and backward directions.  Classification is evaluated in two schemes.  The first scheme is to classify the species of parasite into two classes. The second scheme is to classify the species and stage of parasite into six classes.  Three classifiers applied are k-nearest neighbour (KNN), support vector machine (SVM) and multi-layer perceptron (MLP).  Furthermore, to facilitate the multiclass classification, one-versus-one (OVO) and one-versus-all (OVA) methods are implemented.  The first scheme achieves the accuracy of 88.70% based on MLP classifier using three selected features.  While the accuracy gained by the second scheme is 95.16% based on OVO and MLP classifier using 29 selected features.  These results indicate that the proposed approach successfully identifies the species and stage of parasite on thin blood films and has potential to be implemented in the CADx system for assisting paramedics in diagnosing malaria.
Volume: 13
Issue: 3
Page: 933-944
Publish at: 2019-03-01

An approach in creating positive emotion for children’s e-learning based on user interface design

10.11591/ijeecs.v13.i3.pp1267-1273
Magrizef Gasah , Nurul Hidayah Mat Zain , Aslina Baharum
This paper presents an approach in creating positive emotion for children’s e-learning using user interface design. The problems that this research aims to solve are the lack of children interest in school and early childhood school dropout. This research consists of three phases where each phase has its own research method. In this paper, the proposed research method aims to identify the user interface design that could trigger positive emotion and achieved using a qualitative method and quantitative method. The result shows a guideline for creating e-learning application that could help designer and developer to develop the application. Hopefully, the guideline of the positive emotion and the e-learning application could help the children more interested in school and learning in the future.
Volume: 13
Issue: 3
Page: 1267-1273
Publish at: 2019-03-01

Solving RFID mobile reader path problem with optimization algorithms

10.11591/ijeecs.v13.i3.pp1110-1116
M. Zaki Zakaria , Sofianita Mutalib , Shuzlina Abdul Rahman , Shamsul J Elias , A Zambri Shahuddin
Radio Frequency Identification (RFID) is a one of the fastest growing and most beneficial technologies being adopted by businesses today. One of the important issues is localization of items in a warehouse or business premise and to keep track of the said items, it requires devices which are costly to deploy. This is because many readers need to be placed in a search space. In detecting an object, a reader will only report the signal strength of the tag detected. Once the signal strength report is obtained, the system will compute the coordinates of the RFID tags based on each data grouping. In this paper, algorithms using genetic algorithm, particle swarm, ant colony optimization are proposed to achieve the shortest path for an RFID mobile reader, while covering full search area. In comparison, for path optimization, the mobile reader traverses from one node to the next, moving around encountered obstacles in its path.  The tag reading process is iterative, in which the reader arrives at its start point at the end of each round. Based on the shortest path, an algorithm that computes the location of items in the search area is used. The simulation results show that the ACO method works more effectively and efficiently compare to others when solving shortest path problems.
Volume: 13
Issue: 3
Page: 1110-1116
Publish at: 2019-03-01

Distance weighted K-Means algorithm for center selection in training radial basis function networks

10.11591/ijai.v8.i1.pp54-62
Lim Eng Aik , Tan Wei Hong , Ahmad Kadri Junoh
The accuracies rates of the neural networks mainly depend on the selection of the correct data centers. The K-means algorithm is a widely used clustering algorithm in various disciplines for centers selection. However, the method is known for its sensitivity to initial centers selection. It suffers not only from a high dependency on the algorithm's initial centers selection but, also from data points. The performance of K-means has been enhanced from different perspectives, including centroid initialization problem over the years. Unfortunately, the solution does not provide a good trade-off between quality and efficiency of the centers produces by the algorithm. To solve this problem, a new method to find the initial centers and improve the sensitivity to the initial centers of K-means algorithm is proposed. This paper presented a training algorithm for the radial basis function network (RBFN) using improved K-means (KM) algorithm, which is the modified version of KM algorithm based on distance-weighted adjustment for each centers, known as distance-weighted K-means (DWKM) algorithm. The proposed training algorithm, which uses DWKM algorithm select centers for training RBFN obtained better accuracy in predictions and reduced network architecture compared to the standard RBFN. The proposed training algorithm was implemented in MATLAB environment; hence, the new network was undergoing a hybrid learning process. The network called DWKM-RBFN was tested against the standard RBFN in predictions. The experimental models were tested on four literatures nonlinear function and four real-world application problems, particularly in Air pollutant problem, Biochemical Oxygen Demand (BOD) problem, Phytoplankton problem, and forex pair EURUSD. The results are compared to proposed method for root mean square error (RMSE) in radial basis function network (RBFN). The proposed method yielded a promising result with an average improvement percentage more than 50 percent in RMSE.
Volume: 8
Issue: 1
Page: 54-62
Publish at: 2019-03-01

Internet of things (IoT) based I-V curve tracer for photovoltaic monitoring systems

10.11591/ijeecs.v13.i3.pp1022-1030
H. B. Chi , M. F. N. Tajuddin , N. H. Ghazali , A. Azmi , M. U. Maaz
This paper presents a low-cost PV current-voltage or I-V curve tracer that has the Internet of Things (IoT) capability. Single ended primary inductance converter (SEPIC) is used to develop the I-V tracer, which is able to cope with rapidly changing irradiation conditions. The I-V tracer control software also has the ability to automatically adapt to the varying irradiation conditions. The performance of the I-V curve tracer is evaluated and verified using simulation and experimental tests.
Volume: 13
Issue: 3
Page: 1022-1030
Publish at: 2019-03-01

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

The influence of proficiency level on the use and choice of L1/L2 communication strategies used by Iraqi EFL students

10.11591/ijere.v8i1.15179
Raed Latif Ugla , Mohamad Jafre Zainol Abidin , Mohammed Najim Abdullah
This study aimed at investigating the influence of language proficiency level on the frequency of the use and choice of L1/L2 communication strategies used by Iraqi EFL students. This study was qualitative in nature. The interactive task and speaking task were used to gather data regarding communication strategy use and choice from 52 second and third year English major students. Those participants were divided into two groups; low and high proficient students (n=27 low proficient students and n=25 high proficient students). A taxonomy of communication strategies was adopted to code the communication strategies used by low and high proficient Iraqi EFL students. The results revealed that low proficient students use communication strategies more frequently than high proficient students. Both low and high proficient students used communication strategies other than those included in selected taxonomy. This study showed that low proficient students use L1-based strategies more frequently, while high proficient students use L2-based strategies more frequently.
Volume: 8
Issue: 1
Page: 127-137
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

Vocabulary size, reading motivation, reading attitudes and reading comprehension performance among Filipino college learners of english

10.11591/ijere.v8i1.15335
Rosalyn Gunobgunob-Mirasol
Reading is an indispensable tool in the academic world. Most, if not all, activities in varied collegiate courses entail the act of reading. There are many contributing factors that affect one’s ability to read and comprehend text materials effectively. Two of the many factors are the reader’s vocabulary size and their reading motivation. This study examined the relationship of the vocabulary size, reading strategies and the reading comprehension performance of college learners in a comprehensive university in the Philippines. A correlational analysis was employed to ascertain the relationship between the scores in the reading comprehension component of the course and the vocabulary levels tests by Nation [1]. The findings of this study hope to provide useful insights into the prediction of college learners’ reading performance and the teaching of vocabulary in the ESL context as well as the integration of learners’ reading motivation in the curriculum.
Volume: 8
Issue: 1
Page: 64-70
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
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