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29,922 Article Results

Relationship between social media addiction, game addiction and family functions

10.11591/ijere.v9i4.20680
Ebru Yayman , Okan Bilgin
This study examined the relationship between social media addiction, game addiction and family functions in adolescents. Respondent of this study is 762 students studying at four different high schools of the province of İstanbul. In the study, Pearson Moment Correlation Coefficient was found to determine the level of relationships between social media addiction, game addiction and family functions in adolescents. The effects of social media addiction and game addiction in adolescents on family functions were examined with regression analysis technique. When the relationships between social media addiction, game addiction and family functions in adolescents were examined, a positive relationship was found between social media and game addiction, while a positive significant relationship was found between both social media and game addiction and unhealthy family functions. In addition, it was also concluded that social media addiction and game addiction in adolescents were significant predictors of all subdimensions of family functions.
Volume: 9
Issue: 4
Page: 979-986
Publish at: 2020-12-01

Calculating algorithm of service quality statistical parameters for asynchronous network subscribers

10.11591/ijeecs.v20.i3.pp1485-1494
Kemelbekova Zh. S. , Sembiyev O. Z. , Umarova Zh. R
It is often necessary to determine statistical parameters that characterize the quality of service on the network by managing when designing computer networks using the concept of virtual connections with bypass directions. In many ways, the attainable level of quality of the services provided is determined at the stage of network design, when decisions was made regarding the subscriber capacity of stations, the capacity of bundles of trunk lines, the composition and volume of telecommunication services provided. Despite constant progress in the field of network technologies, the problem of determining the necessary amount of network resources and ensuring the quality of user service remains relevant. In this regard, this article discusses a broadband digital network with service integration, based on an asynchronous network in which an iterative method implemented. Here the flow distribution is determined by the route matrix, and the load distribution between the nodes of each pair of nodes made through the path tree obtained on the matrix of routes when calculating this pair. At the same time, an algorithm has been built for allow optimal allocation of channel resources between circuit switching and packet switching subnets within an asynchronous network.
Volume: 20
Issue: 3
Page: 1485-1494
Publish at: 2020-12-01

Video content analysis and retrieval system using video storytelling and indexing techniques

10.11591/ijece.v10i6.pp6019-6025
Jaimon Jacob , M. Sudheep Elayidom , V. P. Devassia
Videos are used often for communicating ideas, concepts, experience, and situations, because of the significant advances made in video communication technology. The social media platforms enhanced the video usage expeditiously. At, present, recognition of a video is done, using the metadata like video title, video descriptions, and video thumbnails. There are situations like video searcher requires only a video clip on a specific topic from a long video. This paper proposes a novel methodology for the analysis of video content and using video storytelling and indexing techniques for the retrieval of the intended video clip from a long duration video. Video storytelling technique is used for video content analysis and to produce a description of the video. The video description thus created is used for preparation of an index using wormhole algorithm, guarantying the search of a keyword of definite length L, within the minimum worst-case time. This video index can be used by video searching algorithm to retrieve the relevant part of the video by virtue of the frequency of the word in the keyword search of the video index. Instead of downloading and transferring a whole video, the user can download or transfer the specifically necessary video clip. The network constraints associated with the transfer of videos are considerably addressed.
Volume: 10
Issue: 6
Page: 6019-6025
Publish at: 2020-12-01

Improving the initial values of VFactor suitable for balanced modulus

10.11591/ijece.v10i6.pp6446-6452
Kritsanapong Somsuk
The aim of this study is to estimate the new initial values of VFactor. In general, this algorithm is one of the members in a group of special proposed integer factorization algorithm. It has very high performance whenever the result of the difference between two prime factors of the modulus is a little, it is also called as balanced modulus. In fact, if this situation is occurred, RSA which is a type of public key cryptosystem will be broken easily. In addition, the main process of VFactor is to increase and decrease two odd integers in order to compute the multiplication until the targets are found. However, the initial values are far from the targets especially that the large value of the difference between two prime factors that is not suitable for VFactor. Therefore, the new initial values which are closer to the targets than the traditional values are proposed to decrease loops of the computation. In experimental results, it is shown that the loops can be decreased about 26% for the example of 256 bits-length of modulus that is from the small result of the difference between prime factors.
Volume: 10
Issue: 6
Page: 6446-6452
Publish at: 2020-12-01

Exploring STEAM teaching in preschool using Fred Rogers approach

10.11591/ijere.v9i4.20674
Zahiroh Awang , Nooraida Yakob , Aswati Hamzah , Mohd Mernan Talling
The culture of Science, Technology, Engineering, Art and Mathematics (STEAM) teaching is still new among preschool teachers. Nevertheless, STEAM teaching is seen as challenging to be implemented if there is no clear guideline prepared by qualified experts. Therefore, a need analysis on STEAM teaching strategies ought to be conducted to ensure the implementation of STEAM teaching its related problems may be attended. This research aimed to explore experts’ perceptions about Fred Rogers’ STEAM as a STEAM teaching strategy approach as a considered method to be taught in preschools. This need analysis employed semi structured interviews with four experts. The obtained findings were categorized and analysed thematically. Five themes were identified: 1) features and needs of STEAM education, 2) inquiry-based learning 3) learning by doing activities, 4) interesting and systematic teaching strategies and 5) suitability with children’ development and practices. The research findings benefit preschool teachers in selecting and implementing STEAM teaching strategies based on experts’ opinion. Besides, it is anticipated to help teachers to conduct meaningful and effective STEAM teaching with preschool children.
Volume: 9
Issue: 4
Page: 1071-1078
Publish at: 2020-12-01

New voltage and temperature scalable gate delay model applied to a 14nm technology

10.11591/ijeecs.v20.i3.pp1210-1220
Kenza Charafeddine , Faissal Ouardi
The following work shows an innovative approach to model the timing of standard cells. By using mathematical models instead of the classical SPICE-based characterization, a high amount of CPU (Central Processing Unit) cores is saved and less amount of data is stored. In the present work, characterization of cells of a standard cell library is done in an hour whereas it is done in 650 hours with the classical method. Also, a method for validating and verification of the precision of the modelled data is resented by comparing them on a implemented circuit. The output of implementations shows less than 3% of error between the two methods.
Volume: 20
Issue: 3
Page: 1210-1220
Publish at: 2020-12-01

Prevalence of hypertension: predictive analytics review

10.11591/ijai.v9.i4.pp576-583
Nur Arifah Mohd Nor , Azlinah Mohamed , Sofianita Mutalib
Hypertension is one of the non-communicable disease (NCD) that is classify as a global health risk with many critical health cases. Malaysia raise the same concern of the increasing NCD health problem. This paper aims to study the techniques used in predictive analytics namely healthcare and identify the factors of prevalence on hypertension. This review would give a better understanding of proper techniques and suggest the technique commonly used in predictive analytics especially for medical data and at the same time provide significant factors of prevalence hypertension. A total of 27 papers reviewed, several techniques on predictive analytics in healthcare are neural network, decision tree, naïve bayes, regression and support vector machine. The rise of economic growth and correlated socio-demographic have cause rise in hypertension problem over past years. The factors of hypertension depicted in this review namely gender, age, locality, family history, physically inactive and unhealthy life style not conform to any boundaries thus far. Thus, the choice on the technique and hypertension factors for predictive analytics is significant to come out with the significant predictive model. The predictive model on prevalence of hypertension may predict the severity of adult having hypertension in future work.
Volume: 9
Issue: 4
Page: 576-583
Publish at: 2020-12-01

Q-Learning vertical handover scheme in two-tier LTE-A networks

10.11591/ijece.v10i6.pp5824-5831
Ammar Bathich , Mohd Asri Mansor , Saiful Izwan Suliman , Sinan Ghassan Abid Ali
Global mobile communication necessitates improved capacity and proper quality assurance for services. To achieve these requirements, small cells have been deployed intensively by long term evolution (LTE) networks operators beside conventional base station structure to provide customers with better service and capacity coverage. Accomplishment of seamless handover between Macrocell layer (first tier) and Femtocell layer (second tier) is one of the key challenges to attain the QoS requirements. Handover related information gathering becomes very hard in high dense femtocell networks, effective handover decision techniques are important to minimize unnecessary handovers occurred and avoid Ping-Pong effect. In this work, we proposed and implemented an efficient handover decision procedure based on users’ profiles using Q-learning technique in an LTE-A macrocell-femtocell networks. New multi-criterion handover decision parameters are proposed in typical/dense femtocells in microcells environment to estimate the target cell for handover. The proposed handover algorithms are validated using the LTE-Sim simulator under an urban environment. The simulation results showed noteworthy reduction in the average number of handovers.
Volume: 10
Issue: 6
Page: 5824-5831
Publish at: 2020-12-01

Real power loss reduction by arctic char algorithm

10.11591/ijaas.v9.i4.pp261-264
Lenin Kanagasabai
This work presents Arctic Char Algorithm (ACA) for solving optimal reactive power problem. In North America movement of Arctic char phenomenon is one among the twelve-monthly innate actions. Deeds of Arctic char have been imitated to design the algorithm. In stochastic mode solutions are initialized with one segment on every side of to the route ascendancy; particularly in between lower bound and upper bounds. Previous to the movement, Arctic char come to a decision about the passageway based on their perception. This implies stochastic mix up of control parameters to push the Arctic char groups (preliminary solution) in mutual pathway (evolutionary operators). Projected Arctic Char Algorithm (ACA) has been tested in standard IEEE 14,300 bus test system and simulation results show the projected algorithm reduced the real power loss extensively.
Volume: 9
Issue: 4
Page: 261-264
Publish at: 2020-12-01

A risk and security assessment of VANET availability using attack tree concept

10.11591/ijece.v10i6.pp6039-6044
Meriem Houmer , Moulay Lahcen Hasnaoui
The challenging nature of insecure wireless channels and the open-access environment make the protection of vehicular ad hoc network (VANET) a particularly critical issue. Researchers and interested authorities have therefore paid more attention to this issue. Therefore, robust approaches to protect this network's security and privacy against adversaries and attacks need to be improved, trying to achieve an adequate level, to secure the confidential information of drivers and passengers. Accordingly, to improve the security of VANET, it is necessary to carry out a risk assessment, in order to evaluate the risk that faces this network. This paper focuses on the security threats in vehicular network especially on the availability of this network. We propose a novel risk assessment approach to evaluate the risk of the attack that the attacker can lead against the availability of VANET. We adopt a tree structure called attack tree to model the attacker's potential attack strategies. Based on this attack tree model, we can estimate the degree that a certain threat can lead to the VANET and identify possible attack sequences that an attacker may launch against the availability of this network. Then we utilize the multi-attribute utility theory to calculate the system’s total risk value also the probabilities of each attack sequence. The analysis results can provide support for decision-makers to make corresponding protection measures against the attack on the availability of this network.
Volume: 10
Issue: 6
Page: 6039-6044
Publish at: 2020-12-01

The impact of sociodemographic factors on academic achievements among high school students in Indonesia

10.11591/ijere.v9i4.20572
Deri Indrahadi , Amika Wardana
This study aimed to examine the effect of sociodemographic, student and school factors on the academic achievement of high school students in Indonesia. Using the cross-sectional survey data from the 2015 Indonesian Family Life Survey (IFLS) particularly involving 1,421 respondents (of the academic performances during their school years), the study run multiple regression analysis to examine the influences of their parents’ sociodemographic, students and other school-related factors on their academic achievements during their school years. As the results, it was revealed that the sociodemographic factors, students and schools predict significantly academic achievement of students in Indonesia. The results provided feedback to students and parents, schools and education policymakers in improving student academic achievement.
Volume: 9
Issue: 4
Page: 1114-1120
Publish at: 2020-12-01

Development of a photovoltaic characteristics generator based on mathematical models for four PV panel technologies

10.11591/ijece.v10i6.pp6101-6110
Samia Jenkal , Mustapha Kourchi , Driss Yousfi , Ahmed Benlarabi , Mohamed Larbi Elhafyani , Mohamed Ajaamoum , Mhand Oubella
A good study of photovoltaic system requests to have very precise current-voltage characteristic curves of photovoltaic modules for different technologies. The photovoltaic emulator provides an efficient solution to maintain the same current-voltage output of photovoltaic module. It includes three parts: the PV model, the control strategy, and the power converter. This paper provides three classes of modeling and simulation of photovoltaic arrays and presents the synthesis results of the current-voltage characteristic performances obtained by the modeling approaches. The models of the first class are based on electrical circuit model, those of the second class are based on multiple straight lines model, and for the third class, it is based on the look up table. The mathematical model is built using MATLAB/ Simulink, and an experimental bench was carried out to acquire an up-to-date and representative experimental database of four PV panels. This database is used for the validation of these models for the different PV panel technologies under Moroccan meteorological conditions. Following this comparative study, we came to a high agreement between the experimental and simulated current-voltage characteristics for the emulator under study.
Volume: 10
Issue: 6
Page: 6101-6110
Publish at: 2020-12-01

An efficient method to classify GI tract images from WCE using visual words

10.11591/ijece.v10i6.pp5678-5686
R. Ponnusamy , S. Sathiamoorthy , R. Visalakshi
The digital images made with the Wireless Capsule Endoscopy (WCE) from the patient's gastrointestinal tract are used to forecast abnormalities. The big amount of information from WCE pictures could take 2 hours to review GI tract illnesses per patient to research the digestive system and evaluate them. It is highly time consuming and increases healthcare costs considerably. In order to overcome this problem, the CS-LBP (Center Symmetric Local Binary Pattern) and the ACC (Auto Color Correlogram) were proposed to use a novel method based on a visual bag of features (VBOF). In order to solve this issue, we suggested a Visual Bag of Features(VBOF) method by incorporating Scale Invariant Feature Transform (SIFT), Center-Symmetric Local Binary Pattern (CS-LBP) and Auto Color Correlogram (ACC). This combination of features is able to detect the interest point, texture and color information in an image. Features for each image are calculated to create a descriptor with a large dimension. The proposed feature descriptors are clustered by K- means referred to as visual words, and the Support Vector Machine (SVM) method is used to automatically classify multiple disease abnormalities from the GI tract. Finally, post-processing scheme is applied to deal with final classification results i.e. validated the performance of multi-abnormal disease frame detection.
Volume: 10
Issue: 6
Page: 5678-5686
Publish at: 2020-12-01

Cuckoo search algorithm based for tunning both PI and FOPID controllers for the DFIG-Wind energy conversion system

10.11591/ijece.v10i6.pp6319-6329
Mostafa A. Al-Gabalawy , N. S. Hosny , Shimaa A. Hussien
Wind Energy has received great attention in this century. It influences the new power systems, adding new challenges to the power system expansion problem. Nowadays, double feed induction generator (DFIG) wind turbines are used majorly in wind farms, due to their advantages over other types. Therefore, the analysis of the system using this type has become very important. In this paper, a wind turbine modelling was introduced with suggested controllers, in order to enhance the system response, with respect to both pitch control and maximum output power. Cuckoo search algorithm (CSA), a meta-heuristic optimization technique, was implemented to determine the gains of a proportional-integral (PI) controller and fractional order proportional-integral-derivative (FOPID) controller to optimize the system, which considered three control loops: pitch, rotor-side converter, and grid-side converter control loop. Simulation results were determined using MATLAB/Simulink. The comparative analysis of the results showed that the PI Controller gave the simplest and the best response in case of the pitch and rotor-side control loops while the FOPID was the best when applied to the grid-side control loop. Based on the results and discussion, a suggestion of using a compination of each controller was introduced.
Volume: 10
Issue: 6
Page: 6319-6329
Publish at: 2020-12-01

Functional magnetic resonance imaging-based brain decoding with visual semantic model

10.11591/ijece.v10i6.pp6682-6690
Piyawat Saengpetch , Luepol Pipanmemekaporn , Suwatchai Kamolsantiroj
The activity pattern of the brain has been activated to identify a person in mind. Using the function magnetic resonance imaging (fMRI) to decipher brain decoding is the most accepted method. However, the accuracy of fMRI-based brain decoder is still restricted due to limited training samples. The limitations of the brain decoder using fMRI are passed through the design features proposed for many label coding and model training to predict these characteristics for a particular label. Moreover, what kind of semantic features for deciphering the neurological activity patterns are unclear. In current work, a new calculation model for learning decoding labels that is consistent with fMRI activity responses. The approach demonstrates the proposed corresponding label's success in terms of accuracy, which is decoded from brain activity patterns and compared with conventional text-derived feature technique. Besides, experimental studies present a training model based on multi-tasking to reduce the problems of limited training data sets. Therefore, the multi-task learning model is more efficient than modern methods of calculation, and decoding features may be easily obtained.
Volume: 10
Issue: 6
Page: 6682-6690
Publish at: 2020-12-01
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