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31,207 Article Results

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

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

Determination of pre-service science teachers’ attitudes towards reading science texts

10.11591/ijere.v8i1.16856
Şendil Can , Gülperi Öztürk
The purpose of the current study is to determine the effects of the variables such as gender, grade level, grade point average and book reading frequency on pre-service science teachers’ attitudes towards science texts. The sampling of the current study is comprised of 103 pre-service science teachers enrolled at the Education Faculty of Muğla Sıtkı Koçman University in the spring term of 2017-2018 academic year. In the current study, in order to determine the pre-service teachers’ attitudes towards reading science texts, “The Scale of Attitudes towards Reading Science Texts” was used. The effects of gender and grade level on the pre-service science teachers’ attitudes towards reading science texts were analyzed with independent samples t-test and the effects of academic achievement and book reading frequency were analyzed with one-way variance analysis (ANOVA). As a result of the study, it was concluded that the gender and grade level variables have significant effects on the pre-service teachers’ attitudes towards reading science texts in the sub-dimensions of making use of science texts when possible, denial and contribution of reading science texts to learning and skills and that the general grade point average and book reading frequency have significant effects on the pre-service teachers’ attitudes towards reading science texts in the sub-dimension of making use of science texts when possible.
Volume: 8
Issue: 1
Page: 181-188
Publish at: 2019-03-01

Misconceptions of primary school students about the subject of fractions: views of primary teachers and primary pre-service teachers

10.11591/ijere.v8i1.16290
Yasemin Deringöl
This study was conducted with the aim of investigating the current knowledge of Primary Teachers and Primary Pre-service Teachers on the misconceptions of primary school students about the subject of fractions. The qualitative research method of case study was used to conduct the research. The data were collected with semi-structured forms that were developed by the researcher to collect the views of Primary Teachers and Primary Pre-service Teachers on the topic. The participants stated that, regarding the subject of fractions, primary school students had difficulties the most in representing fractions by models, the concepts of denominator and numerator, when they need to rank fractions, when they need to solve problems, reading and writing concepts that express fractions, distinguishing types of fractions – converting these, showing a given fraction on number lines and operations on fractions, and they had misconceptions about these.
Volume: 8
Issue: 1
Page: 29-38
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

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

Development of software for Ku-Band signal availability due to rain attenuation

10.11591/ijeecs.v13.i3.pp1252-1258
Norsuzila Ya’acob , Noraisyah Tajudin , Muhammad Rezza Alui , Nani Fadzlina Naim , Murizah Kassim , Wan Norsyafizan Wan Muhamad
Ku-Band signal is often used for satellite communication mainly for direct to home (DTH) broadcasting. One of the major issues using this band is that the signal will be affected by raindrops. Raindrops absorb and scatter signal that operates at a frequency of more than 10 GHz. However, studies have been done to predict and measure the rainfall rate and rain attenuation. The rain attenuation in Ku-Band range and the rain rate were measured at satellite receiving dish, pointed towards the orbital slot 91.5 E over a one-year period in 2013. The cumulative distribution of rain rate obtained as well as a cumulative distribution of rain attenuation obtained are presented and compared with the rain prediction models. The aim is to get the best model to be used for the purpose of software development. It was found out that the DAH prediction model is fairly equitable when compared to direct satellite dish receiving measurements in Malaysia. The model provided a suitable baseline in developing a user interface software for weather prediction.
Volume: 13
Issue: 3
Page: 1252-1258
Publish at: 2019-03-01

The effect of personal health on the formation of human capital: a metasystem approach

10.11591/ijphs.v8i1.17837
M.V. Sokolskaya , A.G. Madzhuga , N.S. Babieva , K.O Khvostunov , A.V. Moskvina , L.B. Abdullina , R.V. Kanbekova , R.M. Salimova , E.V. Golovneva
In article the problem of influence of the personality’s health on formation of the human capital is considered. Authors have conducted theoretical researches of the existing knowledge of the human capital and justifications of influence of the personality’s health on its formation are given. On the basis of the carried-out analysis it is established that now the personality’s health is a significant factor of efficiency of any kind of activity and important quality of the personality, therefore, it can be considered as a factor of formation of the human capital. According to it need of determination of criteria, the indicators of health of the personality influencing formation and development of the human capital was designated.
Volume: 8
Issue: 1
Page: 135-142
Publish at: 2019-03-01

Husband’s knowledge, characteristics and participation in family planning

10.11591/ijphs.v8i1.12962
Suci Musvita Ayu , Liena Sofiana , Khafidhotul Amaliah
Family planning is an attempt to measure the number and spacing of children. Thus, several ways or alternatives are taken to prevent or postpone pregnancy to Couple of Productive Age. The purpose of the study is to determine the relationship between husband’s knowledge and characteristics and their participation in Family Planning in Randusanga Kulon Village, Brebes District, Central Java. Observasional analytic study was conducted with Cross-sectional design, employed 94 respondents. Results of study revealed that there is a relationship between husbands’ knowledge and their participation in family planning. Similarly, there is also relationship between education and husband’s participation in family planning. However, there found no relationship between the number of children and husband's participation in family planning.
Volume: 8
Issue: 1
Page: 31-35
Publish at: 2019-03-01

Body mass index, sleep quality, stress conditions determine menstrual cycles among female adolescents

10.11591/ijphs.v8i1.16419
Rosmauli Jerimia Fitriani , Ari Probandari , Budiyanti Wiboworini
Menstrual cycles are an important indicator of women's health. Menstrual cycles can be affected by body mass index (BMI), sleep quality, and stress. This study aimed to analyse the relationship between BMI, sleep quality, stress and the menstrual cycle. The subjects of this research were the female adolescents at the age of at least 15 years old that had experienced menstruation for at least 2 years. The dependent variable is the menstrual cycle while the independent variables are BMI, sleep quality, and stress conditions. Observational analytic research method with Cross sectional design was used in this research. The subjects were 148 female students. The BMI data were obtained through the anthropometric measurement. The sleep quality data were taken with PSQI questionnaire, and the stress condition data obtained from PSS-10 questionnaire which were then analysed using Chi-Square test and Logistic Regression. Results of study showed that there is a significant relationship between BMI, sleep quality, stress conditions and the adolescent menstrual cycle. The results of the multivariate analysis showed that the female adolescents with abnormal BMI are at risk of having menstrual cycle disorders 1.91 times. The adolescents with poor sleep quality are at risk experiencing menstrual cycle disorders 2.05 times, and the adolescents with stress conditions at risk of the menstrual cycle disorders 2.26 times. There is a relationship between BMI, sleep quality, stress conditions and the menstrual cycle. Stress conditions most influence the regularity of the menstrual cycle.
Volume: 8
Issue: 1
Page: 101-105
Publish at: 2019-03-01

Protein intake and daily activities influence to infant birth weight

10.11591/ijphs.v8i1.16305
Rossa Kurnia Ethasari , Sapja Anantanyu , Kusnandar Kusnandar
Pregnancy is a crucial period time of life. One of the contributing factors in pregnancy is mother’s nutritional need, one of which is protein intake. A pregnant woman’s protein need must be fulfilled for the health of both mother and baby. A more active lifestyle of a pregnant woman will also induce more baby’s brain development than a less active one. To analyze the correlation between protein intake and daily activity with infant birth weight in third trimester pregnant women. Analytic observational using prospective cohort design.Independent variables are protein intake and daily activities.Protein intake data is acquired from 2x24 hours food recall, daily activity is measured using Baecke questionnaire and infant birth weight is measured using a baby scale.Sample size of this study is 109 women achieved using simple random sampling. Statistic test used was chi square test.Mean number of pregnant women’s protein intake per day is 0,68±0,469gr.Bivariate test result shows a significant correlation between protein intake and infant birth weight(p=0,000) and a sighificant correlation between daily activities and infant birth weight(p=0,000). There is a correlation between protein intake with infant birth weight in third trimester pregnant women; and there is a correlation between daily activity with infant birth weight in third trimester pregnant women.
Volume: 8
Issue: 1
Page: 65-69
Publish at: 2019-03-01

Modified framework for sarcasm detection and classification in sentiment analysis

10.11591/ijeecs.v13.i3.pp1175-1183
Mohd Suhairi Md Suhaimin , Mohd Hanafi Ahmad Hijazi , Rayner Alfred , Frans Coenen
Sentiment analysis is directed at identifying people's opinions, beliefs, views and emotions in the context of the entities and attributes that appear in text. The presence of sarcasm, however, can significantly hamper sentiment analysis. In this paper a sentiment classification framework is presented that incorporates sarcasm detection. The framework was evaluated using a non-linear Support Vector Machine and Malay social media data. The results obtained demonstrated that the proposed sarcasm detection process could successfully detect the presence of sarcasm in that better sentiment classification performance was recorded. A best average F-measure score of 0.905 was recorded using the framework; a significantly better result than when sentiment classification was performed without sarcasm detection.
Volume: 13
Issue: 3
Page: 1175-1183
Publish at: 2019-03-01

Hunger and stress monitoring system using galvanic skin response

10.11591/ijeecs.v13.i3.pp861-865
Uttara Dhananjay Gogate , Dr. Jagdish Wasudeorao Bakal
In the world, roughly more than 3 million people are affected by muscle power loss diseases which cause lack of communication. Further, this lack of communication is a severe problem with hunger and stress, which sometimes proves to be fatal. It is essential to monitor physical parameters such as hunger and mental stress of the patient. To observe hunger and stress, galvanic skin response (GSR) sensor is a most preferred method because it measures the conductance of skin due to sweating. We have designed new hunger and stress monitoring system (HS-MS) that helps patients and their caretakers to monitor stress and hunger level. HS-MS is two electrodes system that attaches to two fingers (index and middle) of the patient and monitors starvation and tension. According to the response of the sensor, caretakers can identify hunger and even the mental stress conditions of the patient. In all, 35 patients were examined using HS-MS system and 20 of them were used as a control. Overall system accuracy was found out to be 86.6% and response time of HS-MS 5 seconds. Sensitivity with respect to hunger and stress was about 99.9% and 73.3% respectively. Thus HS-MS can be identified as a helpful tool to provide comfort to the patient easily and can be used in hospitals or homes with lonely elderly people.
Volume: 13
Issue: 3
Page: 861-865
Publish at: 2019-03-01

The home and school environments, physical activity levels, and adiposity indices of school-age children

10.11591/ijphs.v8i1.16601
Patience K Gaa , Charles Apprey , Reginald Annan , Victor Mogre , Victoria P Dzogbefia
The home and school environments as well as physical activity may be linked to the development of childhood obesity. We evaluated the home and school environments (HSEs), physical activity levels (PAL), television viewing (TVV) and their associations with adiposity indices of school-age children. This cross-sectional study included children aged 6-12 years and their parents from Tamale, Ghana. HSEs and TVV were assessed using questionnaires. The physical activity questionnaire for children (PAQ-C) was used to assess children’s PALs. Weight, height and waist circumferences were measured using standard tools. About 45% of children lived within a walking distance to parks or outdoor recreation centres. Majority of the parents considered their neighbourhoods to be safe for children to engage in physical activity. Only 27% of the schools had a food and nutrition policy, and more than 70% had a field for outdoor activities. Children watched TV for an average of 1.7 hours/day. Mean physical activity scores was 2.51. The school-age children had mean (SD) BMI-for-age z-scores was -0.23(1.47). Time spent watching TV or playing video games was associated with children’s BMI-for-age z-scores (β=0.48, p=0.043), BMI (β=2.28 p=0.005), and % body fat (β=3.80, p=0.005). Child’s level of activity was negatively associated with waist circumference (β =-0.65, p<0.001). Lack of nutrition policy in schools was common. TVV hours predisposed children to excess weight whiles physical activity decreased the likelihood of being obese. 
Volume: 8
Issue: 1
Page: 82-92
Publish at: 2019-03-01
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