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Audio-visual media to improve sexual-reproduction health knowledge among adolescent

10.11591/ijere.v9i1.20410
Sitti Nur Djannah , Sulistyawati Sulistyawati , Tri Wahyuni Sukesi , Surahma Asti Mulasari , Fatwa Tentama
Lacking knowledge among adolescents affects their understanding of some problems related to sexual-reproduction health. Electronic media recognized as the favored source of information for adolescents. This research aimed to assess the effect of audio-visual media to the increasing of sexual-reproduction knowledge. We conducted a before and after without control informal experimental study design into 153 students in the 1st-3rd grade of junior high school. The effect of the intervention was assessed through the difference between pre- and post-intervention by using the Wilcoxon test. The mean score of the respondent pre and post-intervention was significantly increasing. The audiovisual increased the knowledge of the adolescent regarding sexual-reproduction health
Volume: 9
Issue: 1
Page: 138-143
Publish at: 2020-03-01

Quadratic tuned kernel parameter in Non-linear support vector machine (SVM) for agarwood oil compounds quality classification

10.11591/ijeecs.v17.i3.pp1371-1376
Muhamad Addin Akmal Bin Mohd Raif , Nurlaila Ismail , Nor Azah Mohd Ali , Mohd Hezri Fazalul Rahiman , Saiful Nizam Tajuddin , Mohd Nasir Taib
This paper presents the analysis of agarwood oil compounds quality classification by tuning quadratic kernel parameter in Support Vector Machine (SVM). The experimental work involved of agarwood oil samples from low and high qualities. The input is abundances (%) of the agarwood oil compounds and the output is the quality of the oil either high or low. The input and output data were processed by following tasks; i) data processing which covers normalization, randomization and data splitting into two parts in which training and testing database (ratio of 80%:20%), and ii) data analysis which covers SVM development by tuning quadratic kernel parameter. The training dataset was used to be train the SVM model and the testing dataset was used to test the developed SVM model. All the analytical works are performed via MATLAB software version R2013a. The result showed that, quadratic tuned kernel parameter in SVM model was successful since it passed all the performance criteria’s in which accuracy, precision, confusion matrix, sensitivity and specificity. The finding obtained in this paper is vital to the agarwood oil and its research area especially to the agarwood oil compounds classification system.
Volume: 17
Issue: 3
Page: 1371-1376
Publish at: 2020-03-01

Top-K search scheme on encrypted data in cloud

10.11591/ijaas.v9.i1.pp67-69
Katari Pushpa Rani , L. Lakshmi , Ch. Sabitha , B. Dhana Lakshmi , S. Sreeja
A Secure and Effective Multi-keyword Ranked Search Scheme on Encrypted Cloud Data. Cloud computing is providing people a very good knowledge on all the popular and relevant domains which they need in their daily life. For this, all the people who act as Data Owners must possess some knowledge on Cloud should be provided with more information so that it will help them to make the cloud maintenance and administration easy. And most important concern these days is privacy. Some sensitive data exposed in the cloud these days have security issues. So, sensitive information ought to be encrypted earlier before making the data externalized for confidentiality, which makes some keyword-based information retrieval methods outdated. But this has some other problems like the usage of this information becomes difficult and also all the ancient algorithms developed for performing search on these data are not so efficient now because of the encryption done to help data from breaches. In this project, we try to investigate the multi- keyword top-k search problem for encryption against privacy breaks and to establish an economical and secure resolution to the present drawback. we have a tendency to construct a special tree-based index structure and style a random traversal formula, which makes even identical question to supply totally different visiting ways on the index, and may additionally maintain the accuracy of queries unchanged below stronger privacy. For this purpose, we take the help of vector area models and TFIDF. The KNN set of rules are used to develop this approach.
Volume: 9
Issue: 1
Page: 67-69
Publish at: 2020-03-01

Using wireless and mobile technologies to enhance teaching and learning strategies

10.11591/ijeecs.v17.i3.pp1555-1561
Kahkashan Tabassum
The tremendous development and sensational popularity  of smart mobile devices that offer remarkable availability of seamless  and uninterrupted  communication services at anytime, anywhere,  to any content as well as any prospects represent a new cohort of technological tools that could be utilized for inculcating creative skills in young children. Now a days many companies are  manufacturing lot of apps that target children education and entertainment. Both the Parents and educators find a huge responsibility in evaluating and  selecting such devices and decide which of these offer potential educational benefits for their children. This decision is critical to them since they  restricted tools to evaluate the applications available in the market. Hence the development of an  interactive and multisensory component based mobile application environment with integrated physical and virtual reality scenario could solve the issue related to the children education and entertainment. This is not just  limited to education and the entertainment domain but will explore essential features of virtual reality environment and interactivity. Children with special education needs find it difficult to understand  new knowledge and concept but by the use of virtual reality worlds produced for children could enhance their level of understanding. Therefore this paper dscusses the development of  adaptable, customizable and virtual reality based compliant applications for children. These applications would be useful to enhance learning essentials and improve  diverse sensory and cognitive impairments in even children with special needs by resolving  mobility issues. This application could be made available on i-pads, tablets, etc  and will be intelligent to perform switch between the different intellectual ranges of children accessing it. In other words it will present self-adaptability feature. This research study also focuses on the activities that are suitable for learning purposes with students with impairments.
Volume: 17
Issue: 3
Page: 1555-1561
Publish at: 2020-03-01

Estimation of water quality index using artificial intelligence approaches and multi-linear regression

10.11591/ijai.v9.i1.pp126-134
Muhammad Sani Gaya , Sani Isah Abba , Aliyu Muhammad Abdu , Abubakar Ibrahim Tukur , Mubarak Auwal Saleh , Parvaneh Esmaili , Norhaliza Abdul Wahab
Water quality index is a measure of water quality at a certain location and over a period of time. High value indicates that the water is unsafe for drinking and inadequate in quality to meet the designated uses. Most of the classical models are unreliable producing unpromising forecasting results. This study presents Artificial Intelligence (AI) techniques and a Multi Linear Regression (MLR) as the classical linear model for estimating the Water Quality Index (WQI) of Palla station of Yamuna river, India. Full-scale data of the river were used in validating the models. Performance measures such as Mean Square Error (MSE), Root Mean Squared Error (RMSE) and Determination Coefficient (DC) were utilized in evaluating the accuracy and performance of the models. The obtained result depicted the superiority of AI models over the MLR model. The results also indicated that, the best model of both ANN and ANFIS proved high improvement in performance accuracy over MLR up to 10% in the verification phase. The difference between ANN and ANFIS accuracy is negligible due to a slight increment in performance accuracy indicating that both ANN and ANFIS could serve as reliable models for the estimation of WQI.
Volume: 9
Issue: 1
Page: 126-134
Publish at: 2020-03-01

Simplified down sampling factor based modified SVPWM technique for cascaded inverter fed induction motor drive

10.11591/ijaas.v9.i1.pp20-26
Ravi Kumar Bhukya , P. Satish Kumar
This paper presents a rivew, investigation and performance analysis of novel down samples factor based modified space vector PWM is called clamping SVPWM technique for cascaded Multilevel Invereter fed to Induction motor drive. In this paper the reference sine wave generated as in case of conventional off set injected SVPWM technique is modified by down sampling factor the reference wave by order of 10. The performance analyses of this modulation strategies are analyzed by apply for five level, seven level, nine level and eleven level inverter. The performance analysis of cascaded inverter interms of line voltage, stator current, speed, torque and total harmonic distortion. The results are depicting that PD PWM is more effective among the four proposed PWM technique. It is observed that the CSV Pulse width modulation ensures excellent, close to optimized pulse distribution results compared to SPWM technique and also 11-level inverter beter performance in case of low THD and better foundemental output voltages comapared to 5, 7, 9-level inverter. The proposed technique has been simulated using MATLAB/SIMULINK software. This proposed technique can be applied to N-level multilevel Inverter also.
Volume: 9
Issue: 1
Page: 20-26
Publish at: 2020-03-01

Calcification detection using convolutional neural network architectures in Intravascular ultrasound images

10.11591/ijeecs.v17.i3.pp1313-1321
Hannah Sofian , Joel Than Chia Ming , Suraya Muhammad , Norliza Mohd Noor
Cardiovascular disease is the highest leading to death for Non-Communicable disease. Coronary artery calcification disease is part of cardiovascular disease. The built-in of the plaques and the calcification in the coronary artery inner wall make the blood vessel cross-section area narrow. The standard practice by the radiologists and medical clinical are by visual inspection to detect the calcification in the intravascular ultrasound image. Deep learning is the current image processing methods that have high potential to detect calcification analysis using convolutional neural network architecture and classifiers. To detect the absence of calcification and presence calcification on the intravascular ultrasound image, using k-fold =10, we compared the three types of convolutional neural network architectures and the seven types of classifiers with the provided ground truth from MICCAI 2011. We used two types of images named as Cartesian Coordinates image and polar reconstructed coordinate image. The classifiers such as Support Vector Machine, Discriminant analysis, Ensembles and Error-Correcting Output Codes obtained the perfect result with value one for Area Under Curve and all the performance measure result, accuracy, sensitivity, specificity, positive predictive value and negative predictive value. Area Under Curve for Naïve Bayes classifier is 0.9967 and for Decision Tree classifier is 0.9994, obtained using the polar reconstructed coordinate image for InceptionresNet-V2 architecture.
Volume: 17
Issue: 3
Page: 1313-1321
Publish at: 2020-03-01

Social wellbeing among women living with cancer

10.11591/ijphs.v9i1.20414
Ni Putu Wulan Purnama Sari
Women living with cancer are gradually increases in number due to the increase prevalence of breast and cervical cancer worldwide. The social impact of cancer is underappreciated compared to physical and psychological impacts. This study aimed to: 1) compare and analyze the social wellbeing (SWB) between women living with breast and cervical cancer, and 2) determine the best predictor of SWB in both groups. This cross-sectional study involved 58 and 47 women living wih breast and cervical cancer (n=105). Questionnaire of QOL-CS part III was used in data collection. Various statistical tests were used in data analysis (α<0.05). Sufficient SWB was mostly found in both cases. Family stress, work life, home activities, worriness, social support, personal relation, sexuality, social isolation, and financial burden were significantly different between cases (p=0.021, p=0.027, p=0.004, p=0.022, p=0.000, p=0.000, p=0.000, p=0.000, and p=0.001 respectively), resulted in significant difference in overall SWB between cases (p=0.000). Home activities were the best predictor of SWB in both cases (R2=0.680 and R2=0.840 respectively) with more influences on cervical cancer (84% of influence). SWB was better in women living with breast cancer.
Volume: 9
Issue: 1
Page: 62-70
Publish at: 2020-03-01

Prevalence and associated factors of metabolic syndrome and its individual components among adolescents

10.11591/ijphs.v9i1.20383
Getabalew Endazenaw Bekel , Gloria Thupayagale-Tshweneagae
Metabolic syndrome is a growing health problem that affects the whole population including adolescents due to change in lifestyles. It is strongly associated with different lifestyle behavioral factors. The objective of the study was to investigate the magnitude and associated factors of metabolic syndrome in adolescents. School based cross-sectional study design was used. The sample size for this study was 844 and 8 high schools were randomly selected from Addis Ababa city Administration. Simple random sampling technique was used to select each participant. Data was analyzed using SPSS version 24 and descriptive summary statistics produced to present the findings. In this study among the components of metabolic syndrome, the highest prevalence was observed in high level of fasting blood glucose level 57.8%, followed by high waist circumference 32.2%. The overall prevalence of metabolic syndrome from the total study participants was 12.4%. Smoking, alcohol intake, performing vigorous or modern physical activity, body mass index and time spent for sedentary activities were factors which had significant association with individual metabolic abnormalities. In conclusions the magnitude of metabolic syndrome is common problem of adolescents in the study area.
Volume: 9
Issue: 1
Page: 46-56
Publish at: 2020-03-01

Prevalence of premenstrual syndrome and quality of life among health science college student

10.11591/ijphs.v9i1.20404
Dwi Kustriyanti , Hermeksi Rahayu
Premenstrual syndrome (PMS) is a set of affective, behavioral and physical symptoms with appear in the luteal phase that could affect productivity and quality of life. PMS in adolescents could affect academic performance, such as a decreasing in concentration, failed the exam and absenteeism in the class. The objective was to evaluate the prevalence of PMS and determine its effect on quality of life among female health science students. This cross-sectional study was conducted between July-September 2017 on nursing female students of Health Science Collage “Karya Husada Semarang”, Central a Java, Indonesia. Students were enrolled 207 from first to fourth grade using WHOQOL–BREF form to determine quality of life. Inclusion criteria were having regular menstrual cycles (21-35 days) at least three period. Descriptive analysis and Mann Whitney tests were used for statistical analyses. The prevalence of PMS was found to be 60.8%. Physical health, psychological, social relationship, and environment domain were significantly higher in females with PMS (for each one P < 0.05).
Volume: 9
Issue: 1
Page: 15-19
Publish at: 2020-03-01

Formant characteristics of Malay vowels

10.11591/ijere.v9i1.20421
Izzad Ramli , Nursuriati Jamil , Norizah Ardi
The purpose of this study was to investigate and examined the eight vowels formant characteristic of Malay language. Previous research of Malay language only investigated six basic vowels /a/, /e/, /i/, /o/, /u/, /ə/. The vowels /ɔ/, /ε/ that usually exist in a dialect were not included in the previous investigations. In this study, the vowels sound were collected from five men and four women producing the vowels /a/, /e/, /i/, /o/, /u/, /ə/, /ɔ/, /ε/ from different regions and dialects in Malaysia. Formant contours, F1 until F4 of the vowels were measured using interactive editing tool called Praat. Analysis of the formant data showed numerous differences between vowels in terms of average frequencies of F1 and F2, and the degree of overlap among adjacent vowels. When compared with the International Phonetic Alphabet (IPA), most pronunciation of the Malay vowels were at the same position but the vowel /ε/ seen more likely to become a front vowel instead of a central vowel. Consequently, vowel features of the two Malay allophones /ɔ/ and /ε/ were documented and added to the IPA vowel chart. The findings form the fundamental basis for further research of speech synthesis, speech rehabilitation and speech reproduction of the Malay language.
Volume: 9
Issue: 1
Page: 144-152
Publish at: 2020-03-01

Partial discharge measurement in solid dielectric of H.V Cross-linked polyethylene (XLPE) submarine cable

10.11591/ijeecs.v17.i3.pp1578-1583
Rasha Abdul-nafaa Mohammed , Ali Nathem Hamoodi , Bashar M. Salih
A partial discharge described as anon-linear electrical break-down even that happened in a section of insulating area between two conduct which are at different potentials the damage of the insulating material, these conductors have a different insulating material potential of damage, under AC voltage discharge interval process. In this paper, we propose a Matlab /Simulation software. A detailed analysis of the partial discharge (PD) signal in the underground electric power conductor performed for monitoring, and investigation of numerous effects associated with the partial discharge event, such as heat ,phonic and electrical. Thus, to gain the important data of the insulating material status.
Volume: 17
Issue: 3
Page: 1578-1583
Publish at: 2020-03-01

Health seeking behavior in Bulak Banteng, Surabaya

10.11591/ijphs.v9i1.14896
Fatati Larasati
Infant and under-five mortality rate in the world is still a major health problem that must be resolved immediately. Mother’s health seeking behavior very important to manage the health of his children. Purpose of this study was to investigate health seeking behavior among mothers when their children were sick. This study was descriptive quantitative involved 50 respondents. The results show majority mothers choose to take action when their children are sick with most choosing to take them to health care facilities and do their own treatment. Mothers are expected to always care for their children well and not too late for giving treatment when their children are sick.
Volume: 9
Issue: 1
Page: 1-7
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

Recloser-Fuse settings in distribution systems with optimizing multiple distributed generation considering technical aspects

10.11591/ijeecs.v17.i3.pp1135-1149
Ahmed Mohamed Abdelbaset , AboulFotouh A. Mohamed , Essam Abou El-Zahab , M. A. Moustafa Hassan
With the widespread of using distributed generation, the connection of DGs in the distribution system causes miscoordination between protective devices. This paper introduces the problems associated with recloser fuse miscoordination (RFM) in the presence of single and multiple DG in a radial distribution system. Two Multi objective optimization problems are presented. The first is based on technical impacts to determine the optimal size and location of DG considering system power loss reduction and enhancement the voltage profile with a certain constraints and the second is used for minimizing the operating time of all fuses and recloser with obtaining the optimum settings of fuse recloser coordination characteristics. Whale Optimizer algorithm (WOA) emulated RFM as an optimization problem. The performance of the proposed methodology is applied to the standard IEEE 33 node test system. The results show the robustness of the proposed algorithm for solving the RFM problem with achieving system power loss reduction and voltage profile enhancement.
Volume: 17
Issue: 3
Page: 1135-1149
Publish at: 2020-03-01
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