• International Journal of Computer Science & Network Security
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• v.24 no.1
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• pp.107-118
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• 2024

With the seamless growth of the technology, network usage requirements are expanding day by day. The majority of electronic devices are capable of communication, which strongly requires a secure and reliable network. Network-based intrusion detection systems (NIDS) is a new method for preventing and alerting computers and networks from attacks. Machine Learning is an emerging field that provides a variety of ways to implement effective network intrusion detection systems (NIDS). Bagging and Boosting are two ensemble ML techniques, renowned for better performance in the learning and classification process. In this paper, the study provides a detailed literature review of the past work done and proposed a novel ensemble approach to develop a NIDS system based on the voting method using bagging and boosting ensemble techniques. The test results demonstrate that the ensemble of bagging and boosting through voting exhibits the highest classification accuracy of 99.98% and a minimum false positive rate (FPR) on both datasets. Although the model building time is average which can be a tradeoff by processor speed.

• Journal of The Korean Association of Information Education
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• v.11 no.4
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• pp.497-504
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• 2007

This study proposed the unplugged learning strategy of computer science that makes more easily to understand learning contents and to improve logical thinking of learners in elementary school. We reorganized the contents of data structure in computer science. The students write project papers from their own experiences and daily lives in the classroom, not in the computer room as applying unplugged learning methods. The result of this study shows that students can better understand computer through a study method of computer science on their step of growth. Through this study, the learners can be the abilities of organizing digital data and increasing the logical thinking, based on information education.

• Genomics & Informatics
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• v.15 no.4
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• pp.162-169
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• 2017

Metal binding proteins or metallo-proteins are important for the stability of the protein and also serve as co-factors in various functions like controlling metabolism, regulating signal transport, and metal homeostasis. In structural genomics, prediction of metal binding proteins help in the selection of suitable growth medium for overexpression's studies and also help in obtaining the functional protein. Computational prediction using machine learning approach has been widely used in various fields of bioinformatics based on the fact all the information contains in amino acid sequence. In this study, random forest machine learning prediction systems were deployed with simplified amino acid for prediction of individual major metal ion binding sites like copper, calcium, cobalt, iron, magnesium, manganese, nickel, and zinc.

• Journal of Korea Society of Industrial Information Systems
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• v.22 no.2
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• pp.91-106
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• 2017

In This Study, we Analyze how the Market Orientation and Learning Orientation that can be Regarded as the Two core Factors of Small Business, Necessary for Companies to Grow Continuously Influence on Corporate Performance. This is an Empirical Study on the Influence of them. Small Companies have a Greater Impact on the Survival and Growth of Organization Commitment I Experienced that. In this Study, we Focused on the Mediating Effect of Organization Commitment when the Company's Market Orientation and Learning Orientation Influenced on the Corporate Performance as a Differentiated Element of Research. Research results have Revealed that Surprisingly, Small Companies Market Orientation and Influence on Corporate Performance. This is an Empirical Study on the Influence of them. Small Companies have a Greater Impact on the Survival and Growth of Organization Commitment I Experienced that. In this Study, we Focused on the Mediating effect of Organization Commitment when the Company's Market Orientation and Learning Orientation Influenced on the Corporate Performance as a Differentiated Element of Research. Research results have Revealed that Surprisingly, Small Companies Market Orientation and Learning Orientation had a Significant Influence on Corporate Performance. It was also Verified that Organization Commitment had Partially Mediated Effects. In Conclusion, as a Prerequisite for Small Enterprises to grow, we have to Create Market Oriented and Learning Oriented Organization and at the same time we should Strive to Ensure that all Organization Members have Attachment Relationships with their Organization. It is Understood that it must be. The Results of these Studies will be Helpful for not only Individuals who Prepare for Founding and Founded but also Start-up Related Officials.

• Journal of The Korean Association of Information Education
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• v.13 no.4
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• pp.451-459
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• 2009

With the development of the Information and Communication Technology(ICT), this society is changing rapidly to information based society. Also, the amount of new information and knowledge are increased quickly. Today, the traditional teaching-learning method based on teaching and learning of simple knowledge is not supported to problem solving any more. Because the learning and practice of ICT is affected not only personal growth but also the right to live. Due to this reason, it is important to teach and study using PBL(Problem Based Learning) in future. This paper proposes on-line based e-PBL which is combined e-learning with PBL. The e-PBL will be able to overcome the problem of traditional teaching-learnign method. Therefore, this paper developed the e-PBL teaching model for information literacy education of computer in elementary schools and inspected its effectiveness and validity. In addition, this paper built and utilized the e-PBL on-line learning support system including e-Mentoring which was defined as e-PAS system. It is effective for learners to improve the ability of self-leading, the accomplishment and satisfaction of studying.

• Journal of Information Technology Applications and Management
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• v.23 no.1
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• pp.33-43
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• 2016

Along with the spread of digital music and recent growth in the digital music industry, the demands for music recommender are increasing. These days, listeners have increasingly preferred to digital real-time streamlining and downloading to listen to music because it is convenient and affordable for the listeners to do that. We use Bayesian learning through weight of listener's prefered music site such as Melon, Billboard, Bugs Music, Soribada, and Gini. We reflect most popular current songs across all genres and styles for music recommender system using user profile. It is necessary for us to make the task of preprocessing of clustering the preference with weight of listener's preferred music site with popular music charts. We evaluated the proposed system on the data set of music sites to measure its performance. We reported some of the experimental result, which is better performance than the previous system.

• Journal of Industrial Convergence
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• v.19 no.3
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• pp.51-60
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• 2021

This study aims to do in-depth exploration of the meaning of learning village activists' work, focusing on job crafting. A qualitative case study was conducted through participant observation and in-depth interview from March 23, 2020 to March 05, 2021. As a result of the analysis, a task crafting showed 'task performance using one's own strengths and resources', 'executing additional tasks other than the specified tasks', and 'changes in work methods for efficient task performance'. In a cognitive crafting, 'recognition of the importance of work and sense of vocation', 'recognition of happiness and pleasure in work', and 'recognition of roles to expand work expertise' appeared. In a relation crafting, 'building a community of practical learning with colleagues', 'a mediator of the growth and change of village residents', and 'coexistence of conflict and cooperation with business associates' were shown. In conclusion, learning village activists were actively changing their work through the job crafting and this can be used as basic data to improve the satisfaction with their work. A follow-up study was proposed for activists in learning villages in other regions.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.6
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• pp.275-285
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• 2020

This study aimed to track changes in students' perception about schools over time, to analyze how participation in the Education Welfare Priority Support Project(hereafter "the Project") explains the changes, and to determine how the results of changes affect students' learning engagement, self-confidence, and peer relationship. Data were collected from 103 schools nation-wide(51 elementary and 52 middle schools) from 2015, 2016 and 2017 from 820, 911, and 837 students, respectively. The data were analyzed by applying a latent growth model with two stages: unconditional and conditional. The findings are that first, the perception about schools by the students who participated in the Project increased over time; and second, that the improvement of students' perception of schools has a positive influence on their learning engagement, self-confidence, and peer relationship. In the future, it was suggested that programs aimed at improving positive perception about schools should be provided to all students led by teachers, and a customized integrated support program should be arranged to students in need of intensive support by the educational welfare specialists.

• Journal of the Korean Society of Earth Science Education
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• v.11 no.2
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• pp.90-106
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• 2018

The purpose of this study is to examine the effect of the backward design reflecting the process-focused assessment on science learning achievement and science learning motivation in elementary science class. The process-focused assessment to support the growth and development of learners and the backward design that seeks a learner's complete understanding can be of great help to science learning. The results of study are as follows. First, we conducted the backward design reflecting the process-focused assessment centering on 'Earth and Moon's movement' unit, and reflecting various process-focused assessment to help achieve achievement standards. Second, as a result of science learning achievement test and science learning motivation test, there were statistically significant differences in the experimental group. It is expected that the process-focused assessment reflecting the characteristics of science subject will be utilized in the school field in conjunction with the backward design.

• Research in Mathematical Education
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• v.12 no.1
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• pp.1-26
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• 2008

The concept field is defined as the schema of all equivalent definitions of a mathematics concept. Concept system is defined as the schema of a group concept network where there are mathematics relations. Proposition field is defined as the schema of all equivalent proposition sets. Proposition system is defined as a schema of proposition sets where one mathematics proposition at least is "derived" from the other proposition. CPFS structure that consists of concept field, concept system proposition field, proposition system describes more precisely mathematics cognitive structure, and reveals the unique psychological phenomena and laws in mathematics learning.