• Journal of The Korean Association of Information Education
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• v.20 no.2
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• pp.109-120
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• 2016

The purpose of this paper is to develop and apply instructional model to improve awareness of information accessibility for gifted students in computer science. The model applied to class is designed based on Problem-Based Learning(PBL). The class was for 42 students(22 elementary school students, 20 middle school students), and the questions, cognition of the necessity for accessibility, behavior intent for accessibility were given before and after class. Additionally, interest, satisfaction and flow were given after the class. The results of this study are as follows. Firstly, it shows a difference on the changes of cognition on the necessity and behavior intent. As a gender difference, specifically, it shows a difference on the cognition of female students's necessity and behavior intent of male students. As a class level difference, specifically, it statistically shows a meaningful difference on cognitive of the necessity of elementary school students and behavior intent of middle school students. Secondly, after class, it shows a high level of interest, satisfaction. But it shows a general level of flow, so various strategies should be developed for covering the flow level.

• The Bulletin of The Korean Astronomical Society
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• v.40 no.1
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• pp.56.2-56.2
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• 2015

The KMTNet Supernovae Project utilizes the large $2^{\circ}{\times}2^{\circ}$ field of view of the three KMTNet telescopes to search and monitor supernovae, especially early ones, and other optical transients. A key component of the project is to build a data pipeline with a descent latency and an early alerting system that can handle the large volume of the data in an efficient and a prompt way, while minimizing false alarms, which casts a significant challenge to the software development. Here we present the current status of their development. The pipeline utilizes a difference image analysis technique to discover candidate transient sources after making correction of image distortion. In the early phase of the program, final selection of transient sources from candidates will mainly rely on multi-filter, multi-epoch and multi-site screening as well as human inspection, and an interactive web-based system is being developed for this purpose. Eventually, machine learning algorithms, based on the training set collected in the early phase, will be used to select true transient sources from candidates.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.6
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• pp.2996-3011
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• 2017

With rapid growth of web technology and dissemination of smart devices, social networking service(SNS) is widely used. As a result, huge amount of data are generated from SNS such as Twitter, and sentiment analysis of SNS data is very important for various applications and services. In the existing sentiment analysis based on the $Na{\ddot{i}}ve$ Bayes algorithm, a same number of attributes is usually employed to estimate the weight of each class. Moreover, uncountable and meaningless attributes are included. This results in decreased accuracy of sentiment analysis. In this paper two methods are proposed to resolve these issues, which reflect the difference of the number of positive words and negative words in calculating the weights, and eliminate insignificant words in the feature selection step using Multinomial $Na{\ddot{i}}ve$ Bayes(MNB) algorithm. Performance comparison demonstrates that the proposed scheme significantly increases the accuracy compared to the existing Multivariate Bernoulli $Na{\ddot{i}}ve$ Bayes(BNB) algorithm and MNB scheme.

• Journal of Nutrition and Health
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• v.35 no.7
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• pp.791-799
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• 2002

The performance of educational program for preventive nutrition is more beneficial for children than for the adults based on the cost reduction and the effect of this education. Also children's education helps them to grow and to live as a healthy adult. The purpose of this study is to solve the nutritional problem in children by developing nutrition education program for children and correct their nutritional problems. The characteristics of this program (www.food79.net) are the customized program for grade level based on the level of learning ability, the various education method such as game, cooking practice, and quiz, animation, and the self educated method by managing children's meal management as the result. The contents of this site are constructed not only for children but also for parents, the teachers and the school dietitians to increasing educational effect. The children room consists of food tower, nutrition kingdom, calculation of obesity index, food information, nutrient exploration, cooking world, and evaluation of dietary life. In the room for dietitian and teachers include the contents of the easy gymnastics, nutrition counseling methods, the teaching plans for nutrition education, and the information interchange corner. The third room for parents is constructed of nutrition evaluation, food 114, correction of living habits, and free discussion. Through this site, we are expecting to contribute to national health promotion by correcting the food habits of children.

• The Journal of Korean Association of Computer Education
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• v.4 no.1
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• pp.153-160
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• 2001

Various computer-based learning programs have been developed in recent year. However, their quality has not been improved significantly. One major reason for little improvement on the quality is that most programs did not use an evaluation method to improve the quality of a programs. This paper is to introduce various evaluation methods such as evaluating a program by one expert, by a team of several experts, by a learner, by a small group of learners, by several learners and experts, by a focus group, and etc... These methods could improve the quality as well as increase the effectiveness of a programs. The effectiveness of each program will be increased by applying an appropriate evaluation method according to various factors such as time, cost. or learners.

• Korean Security Journal
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• no.3
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• pp.273-305
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• 2000

The knowledge substitutes the traditional factors of production - land, labor, and capital - and has become one of the most important new resources. The Internet Knowledge Society is where the knowledge is the major source of development and competition. Now more than 350mi11ion computers are connected to internet servers and the internet users are more than 250mi11ion. The purpose of this paper is to propose some key factors for implementing the Police Knowledge Management System(PKMS) based on Intranet. With Information Technology(IT), the police administrative system will be much more efficient. Introducing the If into the system is critical for restructuring the police administrative system. This paper concludes as follows : ■ Knowledge is divided into tacit and explicit one. Knowledge process is divided into acquisition, accumulation, distribution and creation of knowledge. ■ The IntraNet is composed of Web server, FTP server, electric-mail server, and is constructed security system to safety. ■ All policemen are bound to serve as a new knowledge worker. ■ Police organization needs to operate data management system. The organization also needs to the Police Knowledge Management Center(PKMC). And the Police Chief Knowledge Officers(PCKO) needs to be appointed to manage the PKMC. ■ An information and knowledge infrastructure(various databases are the most important factor) should be established within the organization to promote the self-directed management, the interactive communication, and the learning ability of the members.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.578-580
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• 2013

In order to provide the virtual desktop service for computer programing training, User group to use the service should be created for each subject. And the management program to manage development tools, disk images, user account information, log data is required. In this study, we implemented the web-based operation management system to manage the virtual desktop service for computer programming training. We can provide rapid provisioning for the virtual desktop service by using the implemented system.

• Proceedings of the Korean Geotechical Society Conference
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• 2002.03a
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• pp.445-452
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• 2002

In the field of civil and geotechnical engineering, students conduct a variety of soil tests to fulfill undergraduate soil mechanics course requirement. There is a range of problems in soil laboratory instruction, such as, some students not getting hands on experience of conducting tests because of inadequate number of apparatus, time constraints and inability in exciting students to seriously conduit the experiments, However when these laboratory soil tests are simulated with multimedia interaction ann visualization techniques, the students conceptual understanding of soil mechanics is enhanced. The simulation program for website teaching is a computer based instructional package intended to complement, and potentially replace, some physical testing in a real soil laboratory. The overall aim of this project is to develop an experimental simulation program toward active learning and development of critical thinking skills, including data interpretation, understanding of the precesses and influential factors, and problem solving. Therefore enable students to access website to team experimental procedure at any time or place.

• Proceedings of the KIEE Conference
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• 2004.05a
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• pp.126-128
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• 2004

As e-mail is becoming increasingly important in every day life activity, mail users spend more and more time organizing and classifying the e-mails they receive into folder. Many existing recommendation systems or text classification are mostly focused on recommending the products for the commercial purposes or web documents. So this study aims to apply these application to e-mail more necessary to users. This paper suggests a dynamic recommendation agent system based on Rule Filtering Component recommending the relevant category to enable users directly to manage the optimum classification when a new e-mail is received as the effective method for E-Mail Management. Moreover we try to improve the accuracy as eliminating the limits of misclassification that can be key in classifying e-mails by category. While the existing Bayesian Learning Algorithm mostly uses the fixed threshold, we prove to improve the satisfaction of users as increasing the accuracy by changing the fixed threshold to the dynamic threshold. We designed main modules by rule filtering component for enhanced scalability and reusability of our system.

• International Journal of Advanced Culture Technology
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• v.10 no.2
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• pp.201-212
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• 2022

With the development of sequencing technology, there is a need for technology to predict the function of the protein sequence. Enzyme Commission (EC) numbers are becoming markers that distinguish the function of the sequence. In particular, many researchers are researching various methods of predicting the EC numbers of protein sequences based on deep learning. However, as studies using various methods exist, a problem arises, in which the exact prediction result of the sequence is unknown. To solve this problem, this paper proposes an All Enzyme Commission (AEC) algorithm. The proposed AEC is an algorithm that executes various prediction methods and integrates the results when predicting sequences. This algorithm uses duplicates to give more weights when duplicate values are obtained from multiple methods. The largest value, among the final prediction result values for each method to which the weight is applied, is the final prediction result. Moreover, for the convenience of researchers, the proposed algorithm is provided through the AllEC web services. They can use the algorithms regardless of the operating systems, installation, or operating environment.