• Journal of KIISE:Information Networking
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• v.33 no.3
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• pp.201-217
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• 2006

In this paper, we collected the physical traces from high speed Internet backbone traffic and analyze the various characteristics of the underlying packet traces. Particularly, our work is focused on analyzing the characteristics of an anomalous traffic. It is found that in our data, the anomalous traffic is caused by UDP session traffic and we determined that it was one of the Denial of Service attacks. In this work, we adopted the unsupervised machine learning algorithm to classify the network flows. We apply the k-means clustering algorithm to train the learner. Via the Cramer-Yon-Misses test, we confirmed that the proposed classification method which is able to detect anomalous traffic within 1 second can accurately predict the class of a flow and can be effectively used in determining the anomalous flows.

• Journal of the Korean Society for Library and Information Science
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• v.48 no.3
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• pp.193-215
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• 2014

This study examines undergraduate nursing students' user satisfaction and affective experience of collaborative information behavior in a group-based learning through survey method to see the relationship between these factors. For this purpose, the affective experiences (positive and negative aspects) of collaborative information search were examined using the PANAS scale through the same questionnaire. Correlation between students' experiences of collaborative information search and affective aspects were examined, and statistical significance using the t-test were also conducted to measure the relationship among students' demographic factors, experiences of collaborative information search and affective aspects. The results revealed that there was a significant correlation between experiences of collaborative information search and affective aspects. Also, there were significant relationships among students' demographic factors, experiences of collaborative information search and affective aspects. In particular, there were signigicant differences in students' overall satisfaction of collaboration and positive aspects between male and female students who experienced collaborative information search. This study found out the possibilities for a follow-up study for affective aspects in collaborative information behavior.

• Journal of Practical Engineering Education
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• v.5 no.2
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• pp.177-183
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• 2013

In this paper we investigate the history of the education based on STEM which is one of the topics of teaching method of Mathematics and Science oriented to the student, Hand-on education be applying partly to college education and the case of the education of the subject "Mathematics and Science for Engineering" of Japan's college. The educational method based on STEM make the student to recognize by themselves the necessity of the mathematics in the study of the technological and engineering problem, and furthermore draw a conclusion which is the proper method to change from passive to positive the study attitude for the mathematics. But it is more or less unreasonable to apply directly to college education with not physical fusion but chemical fusion of S (science), T (technology), E (engineering) and M (mathematics). Therefore we make themselves to find T and E considered at graduation works. We propose Pseudo-STEM teaching method linking this recognition obtained through self-activity to the mathematics subject.

• Journal of The Korean Association of Information Education
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• v.12 no.3
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• pp.267-274
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• 2008

A neural network is a modeling technique useful for finding out hidden patterns from data through repetitive learning process and for predicting target values for new data. In this study, we built multilayer perceptron neural networks for prediction of the students' computer literacy based on their personal characteristics, home and social environment, and academic record of other subjects. Prediction performance of the network was compared with that of a widely used prediction method, the regression model. From our experiments, it was found that personal characteristic features best explained computer proficiency level of a student, whereas the features of home and social environment resulted in the worse prediction accuracy among all. Moreover, the developed neural network model produced far more accurate prediction than the regression model.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.399-406
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• 2016

As the paradigm of science education has been changing from offering scientific knowledge to 'Public Understanding', ways of communication through visual tools in science education has become increasingly important. In this study, I considered 'Pataphor' as a visual tool for scientific communication, and suggested its functions and forms. By studying the notion of pataphor, which was used an overlapped image of virtual reality and reality in literature, in the perspective of contents design, I defined 'Pataphor' as a visual way of deducing or making the metaphysical similarity with the reality based on scientific imagination. Also, I deduced the functions of pataphor as a visual mediacy and suggested its types as "Pataphor of duplicated reality", "Pataphor of reflected reality", "Pataphor of metamorphosed reality", and "Pataphor of artificial reality". Through this study, it was found to be necessary to study in detail the ways to use pataphor depending on contents producing media's and learners' awareness process of contents so there will be a follow-up study on the ways to use pataphor.

• Journal of Science Education
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• v.39 no.3
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• pp.446-456
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• 2015

We have analyzed affecting factors of boiling point measurement and proposed to improve these after identifying errors of boiling point experiment in 7th grade science textbooks of 2009 revised curriculum. In the result of analyzing affecting factor of boiling point measurement for nine kinds of science textbooks, we have identified six affecting factors like as types of thermometer, heating instrument, sealing or not of stopper, position of thermometer, shape of container, and volume ratio of material and container. When performing experiment of boiling point measurement, we identified the best results when heating with a hot plate, positioning thermo sensor of MBL near neck branch after filling and sopping 10% volumes of material in round bottom flask. Based on this result, we have compared nine kinds of 7th grade science textbooks and found many errors that must be corrected in most of textbooks. Therefore it should be improved the experiment of science textbooks to enhance the understanding of students and to prevent from misconceptions for boiling point measurement.

• Journal of Korean Library and Information Science Society
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• v.50 no.4
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• pp.223-247
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• 2019

Makerspace is growing rapidly with government support and attention. The purpose of this study is to discuss how to operate makerspaces to meet the direction of university development and to support university education. To the end, this study focuses on (1) explored the concept of makerspace, (2) assessed the best practices for constructing and operating makerspaces among Korean and North American, and finally, (3) suggested the detail methods and precautions for constructing and operating makerspaces in Korean academic library. The data were collected from literature review, on site field survey, in-depth interviews with targeting librarians and telephone interviews, email surveys.

• Journal of The Korean Association of Information Education
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• v.9 no.3
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• pp.473-482
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• 2005

We think that the class homepage can be solution for the problems in the cyber space or on-line community because students can practice activities in the on-line community, communicate with teachers or colleague, exchange opinions with parents and use it for learning. However, students would lose interest easily in the existing class homepage for lack of its immersion elements as compared with the commercial on-line communities. The class homepage needs to have immersion elements to reach its purpose. It is one of the solutions to use the avatars. Therefore, we studied on the influence of the avatars as the immersion of the elementary class homepage and the students cyber-self. As a result, we knew that the avatars can act enough as immersion element to achieve construction purpose of the class homepage and that use avatar helps in affirmative cyber self formation of elementary students.

• Journal of the Korean Institute of Intelligent Systems
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• v.13 no.4
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• pp.386-390
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• 2003

Data mining is a process of discovering useful patterns for decision making from an amount of data. It has recently received much attention in a wide range of business and engineering fields. Classifying a group into subgroups is one of the most important subjects in data mining. Tree-based methods, known as decision trees, provide an efficient way to finding the classification model. The primary concern in tree learning is to minimize a node impurity, which is evaluated using a target variable in the data set. However, there are situations where multiple target variable should be taken into account, for example, such as manufacturing process monitoring, marketing science, and clinical and health analysis. The purpose of this article is to present some methods for measuring the node impurity, which are applicable to data sets with multivariate target variables. For illustration, a numerical cxample is given with discussion.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.4
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• pp.443-449
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• 2014

Preferences of users on movies are observables of various factors that are related with user attributes and movie features. For movie recommendation, analysis methods for relation among users, movies, and preference patterns are mandatory. As a relational analysis tool, we focus on the Infinite Relational Model (IRM) which was introduced as a tool for multiple concept search. We show that IRM-based co-clustering on preference patterns and movie descriptors can be used as the first tool for movie recommender methods, especially content-based filtering approaches. By introducing a set of well-defined tag sets for movies and doing three-way co-clustering on a movie-rating matrix and a movie-tag matrix, we discovered various explainable relations among users and movies. We suggest various usages of IRM-based co-clustering, espcially, for incremental and dynamic recommender systems.