• International Journal of Computer Science & Network Security
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• v.23 no.10
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• pp.81-88
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• 2023

In the present scenario, enormous amounts of data are produced every second. These data also contain private information from sources including media platforms, the banking sector, finance, healthcare, and criminal histories. Data mining is a method for looking through and analyzing massive volumes of data to find usable information. Preserving personal data during data mining has become difficult, thus privacy-preserving data mining (PPDM) is used to do so. Data perturbation is one of the several tactics used by the PPDM data privacy protection mechanism. In Perturbation, datasets are perturbed in order to preserve personal information. Both data accuracy and data privacy are addressed by it. This paper will explore and compare several perturbation strategies that may be used to protect data privacy. For this experiment, two perturbation techniques based on random projection and principal component analysis were used. These techniques include Improved Random Projection Perturbation (IRPP) and Enhanced Principal Component Analysis based Technique (EPCAT). The Naive Bayes classification algorithm is used for data mining approaches. These methods are employed to assess the precision, run time, and accuracy of the experimental results. The best perturbation method in the Nave-Bayes classification is determined to be a random projection-based technique (IRPP) for both the cardiovascular and hypothyroid datasets.

• Journal of the Korean Home Economics Association
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• v.42 no.4
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• pp.99-118
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• 2004

This study examined different individual and environmental factors that affect children's game addiction tendency. As individual variables, game user' motivation, self-control, and self-esteem were included in the analysis. As family variables, communications with mothers, parental control of children's computer use and parental internet use were examined, as school variables, school adjustment and teacher's supervision of children's computer use, and as peer variables, peer group's attitude toward computer games were used. The sample consisted of 994 fifth and sixth grade children. Statistics and methods used for the data analysis were Cronbach's alpha, frequency, percentage, two way ANOVA, Pearson's correlation and Hierarchical Regression. Several major results were found from the analysis. First, boys were addicted more than girls. No difference was found in the addiction tendency between the 5th graders and the 6th graders. Second, game users' motivation, that is, their interest-amusement motive, avoidance motive and aggressive motive, had a positive correlation with their game addiction tendency. However, self-control and self-esteem had a negative correlation with children's game addiction tendency. Third, problematic communications with mothers and parental control of children's computer use had a positive correlation with children's game addiction tendency. Open communications with mothers had a negative correlation with children's game addiction tendency. Fourth, school adjusaent had a negative correlation with children's game addiction tendency. And peer group's attitude towards computer games had a positive correlation with children's game addiction tendency. Fifth, low self-control, peer group's attitude towards computer games, children's interest-amusement motive, avoidance motive, aggressive motive, school lesson adjustment, parental control of children's computer use and school nile adjustment were important predicting variables of boy's game addiction tendency. Avoidance motive, low self-control, interest-amusement motive, peer group's attitude towards computer games, and parental control of children's computer use were important predicting variables of girl's game addiction tendency.

• Journal of The Korean Association of Information Education
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• v.22 no.1
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• pp.113-122
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• 2018

Collaboration and assistance among peer learners are essential factors for successful learning outcomes. However it is important to investigate students' preferences for computer problem solving methods and interrelationships, since students tend to solve problems more and more by themselves. This is because of the importance of giving appropriate instructions to students. In this context, this paper shows the analysis of the preferred methods and interrelationships of studnets' preferences upon encountering difficulties during computer usage by collecting data from 231 students in K national university of education. As a result, the result shows that students tend to solve problems without asking as they have higher abilities in computer usage, which was also shown to increase along with their grade levels. Furthermore, it showed that students who have family members and relatives, and who are using the internet are more satisfied with their problem solving. Lastly, it is possible to grasp the computer problem solving network within the department by using social network analysis, so it can be used as reference data for selecting the peer learners, which will help to operate the customized computer education practice.

• The Journal of Korean Association of Computer Education
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• v.22 no.4
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• pp.11-20
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• 2019

This research aims to investigate elementary school teacher's perception and needs of computer and information literacy education to provide basic materials so that computer and information literacy education converges with related subject and can be done in various educational contexts. In order to achieve the goal for this research, we conducted an online questionnaire survey on the current status of teachers, the perception and status of convergence education for computer and information literacy, and the needs for convergence education for computer and information literacy. As a result of the analysis, when the teacher majored in computer and information education or had experience in software education, the percentage of respondents who said that it is possible to converge for computer and information literacy is high. Also, It was found that the burden of following the class progress according to the curriculum was high. In the school environment, preparation for software tool was found to be insufficient. we suggested the strategic implications in terms of education direction, teacher training, education program, and learning tool based on the analysis results.

• Journal of Biosystems Engineering
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• v.13 no.4
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• pp.46-55
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• 1988

The objective of this study was to develop a computer measurement and control system which enable it possible to manage the natural air rough rice drying and storage properly and safely. The following contents of work were taken in this study in order to fulfill the above goal: 1) Design and construction of measurement system which can measure the rough rice drying conditions automatically and transfer them to computer system for data processing. 2) Development of a management software which can determine the need of fan operation by the analysis of drying and/or storage conditions. 3) Design and construction of a control system which deliver the computer decision of fan operation and make it on and off. 4) Technical and economical analysis of the computer measurement and control system development by the comparison experiments of the computer management and of the manual.

• Journal of Educational Research in Mathematics
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• v.11 no.1
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• pp.51-66
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• 2001

In this paper, we tried to examine the didactical transpositions of the mathematical knowledges in the computer-based environment for mathematics learning and teaching, and also analyse the extreme didactical problems Computer has been regarded as an alterative that could overcome the difficulties in the teaching and learning of mathematics and many broad studies have been made to use computers in mathematics teaching and learning. But Any systematic analysis on the didactical problems of the computer-based environment for mathematics education has not been tried up to this time. In this paper, first of all, we analysed the didactical problems in the computer-based environment, and then, the mode of using computer for mathematics teaching and learning.

• Proceedings of the KIEE Conference
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• 1999.11d
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• pp.1034-1037
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• 1999

In this paper, we analyze the inductive interference in conductive material around power transmission line. To compute induced eddy currents as well as electromagnetic fields, finite element method(FEM) is used for numerical calculation. The characteristics of conductive material such as gas pipeline, overhead guide wires, conducting earth and so on are taken account of FEM analysis. This research also shows that mitigation wire reduces amount of eddy current in buried gas pipe line.

• Bulletin of the Korean Chemical Society
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• v.27 no.2
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• pp.273-276
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• 2006

Three dimensional quantitative structure-activity relationship studies for a series of isatin derivatives as a nonpeptidyl caspase-3 enzyme inhibitor were investigated using comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA). The first approach of non-peptidyl small molecules by 3D QSAR may be useful in guiding further development of potent caspase-3 inhibitors.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.01a
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• pp.69-72
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• 2012

영상처리 기법을 이용한 이미지 인식에 관한 콘텐츠들은 다양한 알고리즘을 사용하고 있다. 영상처리 기법 중 이미지 인식 기법에는 대표적으로 PCA(Principal Component Analysis)알고리즘이 있으며, 이 알고리즘에 적용된 대표적인 콘텐츠로 얼굴 문자인식이 있다. 이 알고리즘은 정확성을 위하여 학습을 통한 영상의 저장과 인식을 통한 복잡한 알고리즘을 사용한다. 복잡한 알고리즘의 사용으로 간단한 이미지 인식 콘텐츠의 경우 시스템 처리속도에 영향을 줄 수 있다. 따라서 이 논문에서는 색상의 분포를 통하여 그 수치를 이용한 이미지를 분석한 실험을 통하여 간단한 이미지인식 시스템을 위한 알고리즘을 제시하고, 이 알고리즘을 통해서 얻을 수 있는 장 단점을 분석하였다.

• Journal of the Korea Society of Computer and Information
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• v.21 no.8
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• pp.65-75
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• 2016

In this paper, we present a novel approach to help MSR researchers obtain necessary data with a tool, termed General Purpose Extractor for Source code (GPES). GPES has a single function extracts high-quality data, e.g., the version history, abstract syntax tree (AST), changed code diff, and software quality metrics. Moreover, features such as an AST of other languages or new software metrics can be extended easily given that GPES has a flexible data model and a component-based design. We conducted several case studies to evaluate the usefulness and effectiveness of our tool. Case studies show that researchers can reduce the overall cost of data analysis by transforming the data into the required formats.