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29,922 Article Results

Design and implementation of an effective web-based hybrid stemmer for Odia language

10.11591/ijaas.v9.i1.pp12-19
Gouranga Charan Jena , Siddharth Swarup Rautaray
Stemmer is used for reducing inflectional or derived word to its stem. This technique involves removing the suffix or prefix affixed in a word. It can be used for information retrieval system to refine the overall execution of the retrieval process. This process is not equivalent to morphological analysis. This process only finds the stem of a word. This technique decreases the number of terms in information retrieval system. There are various techniques exists for stemming. In this paper, a new web-based stemmer has been proposed named as “Mula” for Odia Language. It uses the Hybrid approach (i.e. combination of brute force and suffix removal approach) for Odia language. The new born stemmer is both computationally faster and domain independent. The results are favourable and indicate that the proposed stemmer can be used effectively in Odia Information Retrieval systems. This stemmer also handles the problem of over-stemming and under-stemming in some extend.
Volume: 9
Issue: 1
Page: 12-19
Publish at: 2020-03-01

Trilateration based localization method using mobile anchor in wireless sensor networks

10.11591/ijaas.v9.i1.pp34-42
M.G. Kavitha , Vinoth Kumar Kalimuthu , T. Jayasankar
Localization in wireless sensor networks (WSNs) is essential in many applications like target tracking, military applications and environmental monitoring. Anchors which are equipped with global positioning system (GPS) facility are useful for finding the location information of nodes. These anchor nodes may be static or dynamic in nature. In this paper, we propose mobile anchors assisted localization algorithm based on regular hexagons in two-dimensional WSNs. We draw a conclusion that the number of anchor nodes greatly affect the performance of localization in a WSN. An optimal number of anchor nodes significantly reduces the localization error of unknown nodes and also guarantees that unknown nodes can obtain high localization accuracy. Because of the mobility of anchor nodes high volume of sensing region is covered with less period of time and hence the coverage ratio of the proposed algorithm increases. Number of communications also decreases for the reason that the system contains loge (n) number of anchor nodes which leads to less energy consumption at nodes. Simulation results show that our LUMAT algorithm significantly outperforms the localization method containing single anchor node in the network. Movement trajectories of mobile anchors should be designed dynamically or partially according to the observable environment or deployment situations to make full use of real-time information during localization. This is the future research issue in the area of mobile anchor assisted localization algorithm.
Volume: 9
Issue: 1
Page: 34-42
Publish at: 2020-03-01

Energy saving control system development for external lighting

10.11591/ijeecs.v17.i3.pp1601-1606
A.A. Ashryatov , V.G. Kulikov , A.V. Panteleyev
Currently, energy saving requires the development of simple and efficient street lighting control systems. In order to create such a control system, it is necessary to develop an original principle of its operation. They considered the advantages of electronic starting devices in street lighting control systems. They performed the analysis of the existing state of street lighting means, their shortcomings and solutions have been determined, and they developed the method of lighting device automatic control. They performed the assessment of the economic effect from loss reduction associated with reactive power and due to power reduction during deep night. They presented the example of economic effect achievement from the use of an electronic starting device with automatic power reduction.
Volume: 17
Issue: 3
Page: 1601-1606
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

The multicultural experiences, attitudes and efficacy perceptions among prospective teachers

10.11591/ijere.v9i1.20412
Sıddık Bakır
The purpose of this study is to investigate the concepts of multiculturalism and multicultural education and the multicultural experiences, attitudes and efficacies of prospective teachers of Turkish based on different variables. The study was carried out with a total of 249 prospective teachers of which 77% were female, and 23% were male who were receiving education in the spring semester of the academic year of 2018-2019 at the department of Turkish education of a state university. The study utilized the Multicultural Efficacy Scale. The data were analyzed by utilizing statistics and statistical techniques such as percentages, frequencies, arithmetic means, standard deviations, t-test and one-way analysis of variance. The Cronbach’s Alpha reliability coefficient that was calculated for this study was .868. Based on the findings of the study, it was determined that the prospective Turkish teachers had above-average and positive efficacies towards multicultural education, the saw themselves capable in the “experience, attitude and self-efficacy” dimensions, their perception levels were high, and among different variables, there were significant differences in their multicultural efficacy levels based on the variables of class and place of residence.
Volume: 9
Issue: 1
Page: 212-220
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

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 efficient quantum multiverse optimization algorithm for solving optimization problems

10.11591/ijaas.v9.i1.pp27-33
Samira Sarvari , Nor Fazlida Mohd. Sani , Zurina Mohd Hanapi , Mohd Taufik Abdullah
Due to the recent trend of technologies to use the network-based systems, detecting them from threats become a crucial issue. Detecting unknown or modified attacks is one of the recent challenges in the field of intrusion detection system (IDS). In this research, a new algorithm called quantum multiverse optimization (QMVO) is investigated and combined with an artificial neural network (ANN) to develop advanced detection approaches for an IDS. QMVO algorithm depends on adopting a quantum representation of the quantum interference and operators in the multiverse optimization to obtain the optimal solution. The QMVO algorithm determining the neural network weights based on the kernel function, which can improve the accuracy and then optimize the training part of the artificial neural network. It is demonstrated 99.98% accuracy with experimental results that the proposed QMVO is significantly improved optimization compared with multiverse optimizer (MVO) algorithms.
Volume: 9
Issue: 1
Page: 27-33
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

Evaluation of citizenship education and values education in the early years of the republic

10.11591/ijere.v9i1.20366
Sabri Becerikli , Sevda Gülşah Yıldırım
Many governments in history have always wanted to educate their citizens according to their own perceptions. In the early years of the Republic, the administrators of the Republic of Turkey intended to educate citizens concurrent with the republican regime. The present study aims to investigate and reveal what kind of a citizen was desired to be educated in the first years of the Republic. From this point of view, numerous views of the administrators in the first years of the Republic were revealed and the citizenship education courses (Musahabat-ı Ahlakiye and Malumat-ı Vataniye) which were included in the 1924 Primary Schools Program were addressed. In order for the course to be able to be evaluated in terms of aims and citizenship education, a sample book from the textbooks of Musahabat-ı Ahlakiye and Malumat-ı Vataniye, which were taught in fourth and fifth grades in primary schools, was examined. The present study was designed with document analysis method, one of the qualitative research methods.
Volume: 9
Issue: 1
Page: 45-53
Publish at: 2020-03-01

Preservice Turkish language teachers’ attitudes toward Anatolian dialects

10.11591/ijere.v9i1.20471
İzzet Şeref
This study aimed to reveal preservice Turkish Language teachers' attitudes toward the use of Anatolian dialects in education in terms of their genders and years at university. The participants of the study are 201 preservice teachers who are 1st, 2nd, 3rd and 4th-year students studying at Turkish Language Teaching undergraduate program at Tokat Gaziosmanpasa University in the 2017-2018 academic year. The study is a correlational survey employing a descriptive research method. The data of the study were collected employing a scale named Attitude Scale Toward Anatolian Dialects. Using SPSS 22.0, t-Test for independent samples and One-Way ANOVA for independent samples were employed to analyze the data.  As a result of the study, it is found out that there is a significant difference between the attitudes toward Anatolian dialects in favor of males; and being only between 2nd and 4th-year students, there is a significant difference between the attitudes in favor of 2nd-year students.
Volume: 9
Issue: 1
Page: 93-99
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

Lifelong learning tendencies of trainers in adult education

10.11591/ijere.v9i1.20365
Şener Şentürk , Volkan Duran
Life-long learning competencies, skills and attitudes are of having significance for education processes. The study was designed based on the correlational survey model. Population consists of 354 trainers in Public Education Centers in Samsun. In terms gender, there was a significant difference in lack of regulation and lack of curiosity dimension in favour of females in terms of lifelong learning tendencies. It was found that as the age level increases, the tendency to persistence which is the sub-factor of lifelong tendencies increases. It was found that as the level of education increases, persistence level decreases and regulation skill increases. No statistically significant difference was found between the mean scores of lifelong learning tendencies in terms of professional seniority variable and mode of their work. It was seen that the trainers who did not receive pedagodical formation had higher tendency in the fields of motivation and persistence. It was found that there was a significant difference in the sub-dimension of lack of regulation of learning according to the existance of any curriculum related to their field of study in favour of saying “no”.
Volume: 9
Issue: 1
Page: 1-9
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
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