• The Journal of the Korea Contents Association
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• v.16 no.4
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• pp.675-690
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• 2016

The current study attempts to empirically identify a theoretical background that effectively explains Korean pop-culture consumption in the Asian Pacific region; particularly, in China. Specifically, this study investigates how globalism, proximity, and modernity, which have been suggested in literature as key theoretical backgrounds for the Korean wave, influence China's motivation to consume the Korean wave and its subsequent consumption of Korean TV programs (e.g., dramas, variety shows, etc.). The findings suggest that the motivation to consume the Korean wave is positively related to globalism and proximity. Modernity, however, is found to have a negative influence on the motivation to consume the Korean wave. That is, the more one holds international values, the more one perceives Korea as similar to China, and the more one holds traditional values, the more motivation one shows to consume the Korean wave. The study also finds that the motivation to consume the Korean wave has a significant impact on the consumption of Korean TV programs. In the revised model, the study suggests that proximity, followed by globalism, has the strongest positive relationship with motivation. Such a finding suggests that a proximity approach could serve as a better theoretical perspective to explain the phenomenon of the Korean wave in China. Regarding the relationships of the demographic/socio-economic variables and the motivation to consume the Korean wave, females, rather than males, the higher the family income one gains, and the lower education level one has had, the more motivation one will show to consume the Korean wave.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.1
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• pp.23-34
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• 2022

With the development of network technology, the application area has also been diversified, and protocols for various purposes have been developed and the amount of traffic has exploded. Therefore, it is difficult for the network administrator to meet the stability and security standards of the network with the existing traditional switching and routing methods. Software Defined Networking (SDN) is a new networking paradigm proposed to solve this problem. SDN enables efficient network management by programming network operations. This has the advantage that network administrators can flexibly respond to various types of attacks. In this paper, we design a threat level management module, an attack detection module, a packet statistics module, and a flow rule generator that collects attack information through the controller and switch, which are components of SDN, and detects attacks based on these attributes of SDN. It proposes a method to block denial of service attacks (DoS) of advanced attackers by programming and applying honeypot. In the proposed system, the attack packet can be quickly delivered to the honeypot according to the modifiable flow rule, and the honeypot that received the attack packets analyzed the intelligent attack pattern based on this. According to the analysis results, the attack detection module and the threat level management module are adjusted to respond to intelligent attacks. The performance and feasibility of the proposed system was shown by actually implementing the proposed system, performing intelligent attacks with various attack patterns and attack levels, and checking the attack detection rate compared to the existing system.

• Journal of Korea Port Economic Association
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• v.26 no.4
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• pp.63-87
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• 2010

The purpose of this paper is to measure the efficiency of Korean container terminals by using SFA(Stochastic Frontier Analysis). Inputs[Number of Employee, Quay Length, Container Terminal Area, Number of Gantry Crane], and output[TEU] are used for 3 years(2002,2003, and 2004) for 8 Korean container terminals by applying both SFA and DEA models. Empirical main results are as follows: First, Null hypothesis that technical inefficiency is not existed is rejected and in the trasnslog model, the estimate is significant. Second, time-series models show the significant results. Third, average technical efficiency of Korean container terminals are 73.49% in Cobb-Douglas model, and 79.04% in translog model. Fourth, to enhance the technical efficiency, Korean container terminals should increase the handling amount of TEUs. Fifth, both SFA and DEA models have the high Spearman ranking of correlation coefficients(84.45%). The main policy implication based on the findings of this study is that the manager of port investment and management of Ministry of Land, Transport and Maritime Affairs in Korea should introduce the SFA with DEA models for measuring the efficiency of Korean ports and terminals.

• Journal of Intelligence and Information Systems
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• v.24 no.2
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• pp.85-109
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• 2018

Recommender system recommends the items expected to be purchased by a customer in the future according to his or her previous purchase behaviors. It has been served as a tool for realizing one-to-one personalization for an e-commerce service company. Traditional recommender systems, especially the recommender systems based on collaborative filtering (CF), which is the most popular recommendation algorithm in both academy and industry, are designed to generate the items list for recommendation by using 'overall rating' - a single criterion. However, it has critical limitations in understanding the customers' preferences in detail. Recently, to mitigate these limitations, some leading e-commerce companies have begun to get feedback from their customers in a form of 'multicritera ratings'. Multicriteria ratings enable the companies to understand their customers' preferences from the multidimensional viewpoints. Moreover, it is easy to handle and analyze the multidimensional ratings because they are quantitative. But, the recommendation using multicritera ratings also has limitation that it may omit detail information on a user's preference because it only considers three-to-five predetermined criteria in most cases. Under this background, this study proposes a novel hybrid recommendation system, which selectively uses the results from 'traditional CF' and 'CF using multicriteria ratings'. Our proposed system is based on the premise that some people have holistic preference scheme, whereas others have composite preference scheme. Thus, our system is designed to use traditional CF using overall rating for the users with holistic preference, and to use CF using multicriteria ratings for the users with composite preference. To validate the usefulness of the proposed system, we applied it to a real-world dataset regarding the recommendation for POI (point-of-interests). Providing personalized POI recommendation is getting more attentions as the popularity of the location-based services such as Yelp and Foursquare increases. The dataset was collected from university students via a Web-based online survey system. Using the survey system, we collected the overall ratings as well as the ratings for each criterion for 48 POIs that are located near K university in Seoul, South Korea. The criteria include 'food or taste', 'price' and 'service or mood'. As a result, we obtain 2,878 valid ratings from 112 users. Among 48 items, 38 items (80%) are used as training dataset, and the remaining 10 items (20%) are used as validation dataset. To examine the effectiveness of the proposed system (i.e. hybrid selective model), we compared its performance to the performances of two comparison models - the traditional CF and the CF with multicriteria ratings. The performances of recommender systems were evaluated by using two metrics - average MAE(mean absolute error) and precision-in-top-N. Precision-in-top-N represents the percentage of truly high overall ratings among those that the model predicted would be the N most relevant items for each user. The experimental system was developed using Microsoft Visual Basic for Applications (VBA). The experimental results showed that our proposed system (avg. MAE = 0.584) outperformed traditional CF (avg. MAE = 0.591) as well as multicriteria CF (avg. AVE = 0.608). We also found that multicriteria CF showed worse performance compared to traditional CF in our data set, which is contradictory to the results in the most previous studies. This result supports the premise of our study that people have two different types of preference schemes - holistic and composite. Besides MAE, the proposed system outperformed all the comparison models in precision-in-top-3, precision-in-top-5, and precision-in-top-7. The results from the paired samples t-test presented that our proposed system outperformed traditional CF with 10% statistical significance level, and multicriteria CF with 1% statistical significance level from the perspective of average MAE. The proposed system sheds light on how to understand and utilize user's preference schemes in recommender systems domain.

• Journal of the Korean earth science society
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• v.34 no.4
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• pp.345-355
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• 2013

While virtual field trips (VFT) are considered as an attractive alternative to traditional field experience, it is unclear how VFT are best used in Earth Science curriculum. In this study, we investigated the effects of flash panorama-based VFT on students' spatial visualization ability and their understanding of volcanic concept in high school Earth Science class. To investigate the effects of instructional treatment, we conducted pre and post-test on participants' spatial visualization ability and their understanding of volcanic concept, and analyzed using analysis of covariance (ANCOVA) and linear regression. Findings are as follows: First, the change in students' spatial visualization ability in experimental group was significantly higher than that of control group, especially in spatial manipulation category. Second, the change in students' understanding of volcanic concept in experimental group was higher than that of control group in most of the categories, but it is statistically not significant. Last, the change in correlation between spatial visualization ability and understanding of volcanic concept in experimental group was remarkably high compared to control group.

• The Korean Journal of Applied Statistics
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• v.33 no.5
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• pp.615-625
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• 2020

The document-term frequency matrix is a term extracted from documents in which the group information exists in text mining. In this study, we generated the document-term frequency matrix for document classification according to research field. We applied the traditional term weighting function term frequency-inverse document frequency (TF-IDF) to the generated document-term frequency matrix. In addition, we applied term frequency-inverse gravity moment (TF-IGM). We also generated a document-keyword weighted matrix by extracting keywords to improve the document classification accuracy. Based on the keywords matrix extracted, we classify documents using a deep neural network. In order to find the optimal model in the deep neural network, the accuracy of document classification was verified by changing the number of hidden layers and hidden nodes. Consequently, the model with eight hidden layers showed the highest accuracy and all TF-IGM document classification accuracy (according to parameter changes) were higher than TF-IDF. In addition, the deep neural network was confirmed to have better accuracy than the support vector machine. Therefore, we propose a method to apply TF-IGM and a deep neural network in the document classification.

• Journal of Internet Computing and Services
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• v.10 no.1
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• pp.135-143
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• 2009

The purpose of this study was to explore factors that affected the satisfaction of students' experiences in an education course, with the educational method and educational technology designed with a blended learning strategy. Blended learning is currently recognized as a good solution for the problems posed by both online and face-to-face learning, because it has features like flexibility and accessibility by using tools supporting both individualization and socialization. This study is one case that illustrates how blended learning can be applied at the university level. Subjects were 56 students who had participated in the class and responded to the survey questions. The gathered data were analyzed by using Factor Analysis and the Structural Equation Model. Based on the results of Factor Analysis, data revealed 5 factors: learning motivation, previous experience, ability to use information & technology, capability of self-regulated learning, and learning satisfaction. The results of the Structural Equation Model revealed causal relationships among the aforementioned factors as follows: (a) there was a statistically meaningful causal relationship between "learning motivation" and "capability of self-regulated learning", (b) there was a statistically meaningful casual relationship between "previous experience" and "capability of self-regulated learning", and (c) "capability of self-regulated learning" directly affected "learning satisfaction".

• Management & Information Systems Review
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• v.29 no.3
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• pp.1-21
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• 2010

The two main purposes of this paper are to (1) identify factors that influence the safety of e-Business and (2) investigate the explanatory power of these factors on firm performance. Through an extensive literature review and expert panel reviews, a list of 9 factors consisting of 36 items was compiled. In the second stage, questionnaires were administered to managers of e-Business companies in the metropolitan area of Seoul, Korea. Respondents rate 'Information Management,' as the most influencing factor, and then in the order of 'Payment,' 'Security Programs,' and 'Intrusion.' And survey results show that factors have very significant explanatory power for firm performance. While 'Information Management,' 'Delivery,' 'Intrusion,' and 'Security Programs' are the most explanatory factors for Tobin's q, 'Government Policy,' 'Delivery,' 'Intrusion,' 'Awareness,' and 'Security Programs' show most explanatory power for ROA.

• Journal of the Korea Society of Computer and Information
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• v.20 no.2
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• pp.157-167
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• 2015

There is literature addressing to cultural aspects of alcohol and alcoholism. However, scholars have paid little attention to study what will happen to alcohol consumption behavior and alcoholism if there is a national government cultural intervention, so that the alcohol drinking culture would change in association with the change of internal institution in a society. This work attempted to study this research question. For this purpose, I selected Mongolia as a research case and examined survey data, statistical data, and data from research-based resources, referring to the last 70 years profile of Mongolian alcohol per capital consumption and alcoholism as well as studying Mongolian historical sources for measuring Mongolian traditional alcohol drinking customs. The data I gathered and observed during this research proved that there is a huge difference between the current drinking culture among younger generation and Mongolian traditional cultural context that was respected and strictly followed by their ancestors. Findings suggest that there has been a parallel increase between the change of alcohol drinking culture and alcohol consumption in connection with the modernization.

• Journal of the Korea Society of Computer and Information
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• v.12 no.1 s.45
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• pp.83-88
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• 2007

The goal of this research was to investigate the effect the computer game-based learning has on learning achievement in computer education for middle school students. To achieve this goal 74 middle schoolers were allocated into the experiment group(34 students) with the educational computer games class and the control group(34 students) with the traditional face-to-face class. After identifying the homogeneity of two groups through the pre-test, the experiment was carried out. As a result, the mean difference between the experiment group and the control group was statistically significant. That is, learning achievement of middle schoolers utilizing the computer games was higher than that of the face-to-face class. It is suggested that the game factors should be considered in designing the computer education.