• Journal of Global Scholars of Marketing Science
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• v.16 no.4
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• pp.55-73
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• 2006

Inter-Korean cooperative tourism business has turned mutual confrontation and tension between two Koreas for the past 50 years to a peace, stability, mutual understanding and co-prosperity. Currently, with a million tourists visiting Mt. Kumgang, a new chapter for reconciliation and peace opened in inter-Korean cooperation. This study was initiated as an attempt to discern how inter-korean cooperative tourism business can effectively promote local tourism and economy. The purposes of this study are (1) to explore the present tourism situation of Goseong in Gangwon province such as tourism policy, tourism ressources and infrastructure, tourism products and tourist arrivals; (2) to examine the effect of Mt. Kumgang Tourism Business on the tourism development of Goseong; and (3) to investigate any significant relationship among its factors. This study examines the experiences of 189 Goseong resident groups. The findings of this study will provide future policy makers with useful implications in tourism planning and management.

• Journal of Digital Convergence
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• v.14 no.7
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• pp.155-166
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• 2016

In accordance with the increase of the importance of information security, organizations are making continuous investments to develop policies and adapt technology for information security. Organization should provide systemized support to enhance employees' security compliance intention in order to increase the degree of organization's internal security. This research suggests security policy goal setting and sanction enforcement as a method to improve employees' security compliance in planning and enforcing organization's security policy, and verifies the influencing relationship of Theory of Planned Behavior which explains employee's security compliance intention. We use structural equation modeling to verify the research hypotheses, and conducted a survey on the employees of organization with information security policy. We verified the hypotheses based on 346 responses. The result shows that the degree of goal setting and sanction enforcement has positive influence on self-efficacy and coping efficacy which are antecedents that influence employees' compliance intention. As a result, this research suggested directions for strategic approach for enhancing employee's compliance intention on organization's security policy.

• CRM연구
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• v.2 no.2
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• pp.53-70
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• 2009

Understanding consumer behavior based on the analysis of the customer data is one essential part of analytic CRM. To do this, the analytic skills for data extraction and data processing are required to users. As a user has various kinds of questions for the consumer data analysis, the user should use database language such as SQL. However, for the firm's user, to generate SQL statements is not easy because the accuracy of the query result is hugely influenced by the knowledge of work-site operation and the firm's database. This paper proposes a natural language based database search framework finding relevant database elements. Specifically, we describe how our TableRank method can understand the user's natural query language and provide proper relations and attributes of data records to the user. Through several experiments, it is supported that the TableRank provides accurate database elements related to the user's natural query. We also show that the close distance among relations in the database represents the high data connectivity which guarantees matching with a search query from a user.

• Journal of the Korean Institute of Landscape Architecture
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• v.45 no.6
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• pp.171-184
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• 2017

The designers pursue the thoughtful and wide thinking through the accumulation of knowledge and cultivation of insights for making use of high-level design philosophy and language. The purpose of this study is to investigate characteristics of concept figuration types based on designer's 'memory' in landscape design. The results of this study are as follows. First, the design idea starts to be based on the language and image memory of the designer. The figuration types are composed of the verbal and visual view which are representative communication means. Second, the verbal concept figuration of landscape design consists of two types. The symbolic language of the title as a design theme can be a 'phrase', and it should have a hierarchial balance between the master and the sub. 'Descriptive shape of conceptual scenario' is a text that expresses the concept narratively in order that the reader virtually experiences designed landscapes. Third, visual concept figuration of landscape design is divided into three types. 'Simple visualization of a diagram' is easily embodied through a simple graphic using symbols, comments, images and key words. 'Concept sketch and shape of core idea' is useful to grasp the core of the idea such as physical element, form attribute of space and spatial relation at the initial phase of the concept. 'A collage and montage that create a new shape with a combination of images' are a collection of materials and images that provide a new perspective. These are tools to depict them in a compressed way after recording landscapes phenomenon.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.5
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• pp.1066-1072
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• 2011

In the method to analyze the relationship in the system call orders, the normal system call orders are divided into a certain size of system call orders to generates gene and use them as the detectors. In the method to consider the system call parameters, the mean and standard deviation of the parameter lengths are used as the detectors. The attack of which system call order is normal but the parameter values are changed, such as the format string attack, cannot be detected by the method that considers only the system call orders, whereas the model that considers only the system call parameters has the drawback of high positive defect rate because of the information obtained from the interval where the attack has not been initiated, since the parameters are considered individually. To solve these problems, it is necessary to develop a more efficient learning and detecting method that groups the continuous system call orders and parameters as the approach that considers various characteristics of system call related to attacking simultaneously. In this article, we detected the anomaly of the system call orders and parameters by applying the temporal concept to the system call orders and parameters in order to improve the rate of positive defect, that is, the misjudgment of anomaly as normality. The result of the experiment where the DARPA data set was employed showed that the proposed method improved the positive defect rate by 13% in the system call order model where time was considered in comparison with that of the model where time was not considered.

• The KIPS Transactions:PartB
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• v.10B no.3
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• pp.287-296
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• 2003

There has been much research focused on collaborative filtering technique in Recommender System. However, these studies have shown the First-Rater Problem and the Sparsity Problem. The main purpose of this Paper is to solve these Problems. In this Paper, we suggest the user's predicting preference method using Bayesian estimated value and the associative user clustering for the recalculation of preference. In addition to this method, to complement a shortcoming, which doesn't regard the attribution of item, we use Representative Attribute-Neighborhood method that is used for the prediction when we find the similar neighborhood through extracting the representative attribution, which most affect the preference. We improved the efficiency by using the associative user's clustering analysis in order to calculate the preference of specific item within the cluster item vector to the collaborative filtering algorithm. Besides, for the problem of the Sparsity and First-Rater, through using Association Rule Hypergraph Partitioning algorithm associative users are clustered according to the genre. New users are classified into one of these genres by Naive Bayes classifier. In addition, in order to get the similarity value between users belonged to the classified genre and new users, and this paper allows the different estimated value to item which user evaluated through Naive Bayes learning. As applying the preference granted the estimated value to Pearson correlation coefficient, it can make the higher accuracy because the errors that cause the missing value come less. We evaluate our method on a large collaborative filtering database of user rating and it significantly outperforms previous proposed method.

• Archives of design research
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• v.17 no.1
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• pp.163-178
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• 2004

In this study, in order to achieve the before-mentioned study purpose, the importance of developing the new product, the relationship with the design, and the design element for developing the new product were considered. In order to extract the importance of the design element which is applied to the development of the new product design, the research model about the induction of the priority was created, the evaluation items were instituted, and the demonstrative research approach was performed in order to recognize the relationship among those elements. Firstly, in the process of selecting the items for the application, 14 evaluation elements which were extracted through the advanced study data were grouped in 4 kinds of dimensions, and the properties which are related with the Digital TV product were composed up of 36 items. Through the factor analysis, by decreasing the detailed standard for the evaluation of 36 items, the parsimony was secured, and the characteristics which the various items contain induced into one factor. Secondly, the detailed factors which were united into one factor went under the paired comparison as one by one through AHP again, and then the importance degree was generated. First of all, as the first stage of AHP, the decision making factors which affect the whole achievement of purpose of the decision making were classified as in a hierarchical style. From these research results, it was known that the functional factor and esthetic factor in the process of designing the new product are the major affecting variables, and it was confirmed that in case of the Digital TV products group, the factors such as the high quality of picture, big screen, user interface, sound, product reliability, style, size, indoor reproduction, and guarantee are the main factors which influence the need of the consumers in purchasing products.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.10
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• pp.6004-6013
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• 2014

The research on resource sharing in the diversification field is concerned mainly with sharing, but there has been little interest in resources. This research examined resource sharing with the main variables and logics of resource-based view. Based on a survey of 263 affiliates of 35 diversified firms, the impacts of resource quantity, resource quality, and resource exploitability on inter-affiliate resource sharing were hypothesized and verified. To confirm the performance implications of resource sharing, the impacts of the combination of resource quantity and resource sharing, the combination of resource quality and resource sharing, and the combination of resource exploitability and resource sharing on the affiliate performance were also hypothesized and verified. According to the empirical results from multiple regression analyses, resource sharing increases in the order of low resource quantity, high resource quality, and high resource exploitability. The performance was advanced in resource sharing under a low resource quantity and resource sharing under high resource exploitability, but it was not advanced in resource sharing under high resource quality. The results highlight the need for a further study on why the resource quality and resource exploitability affect resource sharing in the opposite directions, as expected in the hypotheses, why resource sharing under high resource quality does not lead to high performance, even though resource quality increases resource sharing, and what they would be if resources are subdivided by the types.

• Journal of Information Management
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• v.42 no.1
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• pp.113-135
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• 2011

The final report of the Functional Requirement of Subject Authority Data(FRSAD), the 3rd report of the FRBR family model, is announced by IFLA in June, 2010. This model represents the international trends of subject authority control and suggests a direction to the future subject authority record suitable for the FRBR system. Therefore aims of this study are to analysis the FRSAD model in context of the FRBR family and apply the model to the subject headings and bibliographic records of Korean National Library. For these aims, we analyse the model focused on the entities, attributes, and relationships between entities. From this analysis, we have found the openness of the FRSAD, which does not force a certain entity types and has focus on the conceptual aspects of the entity not only the form of the headings. Moreover, we suggest examples by applying the FRSAD frame and facets of the FAST to the Headings of the NLSH and related KORMARC fields. The scope of this study is the additional entities of the FRBR groups, so personal names, corporate names, family names and titles are not included. As a result, it is necessary to determine the criteria for the types of thema and to apply the types consistently in bibliographic records. A follow up research will be needed to suggest more detailed examples.

• Journal of Korean Society of Transportation
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• v.26 no.4
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• pp.195-204
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• 2008

Multi-Criteria Analysis is one method for optimizing decisions that include numerous characteristics and objective functions. The Analytic Hierarchy Process (AHP) is used as a general Multi-Criteria Analysis considering many critical issues. However, since validation procedures for the decision reliability of AHP valuers had been left off existing methodologies, a new methodology including such validation procedures is required to make more reliable decisions. In this research, idea decision results are derived using Monte Carlo Simulation in cases where AHP valuers do not have expertise in the specific project, and these results are compared with the results derived from experts to develop a new analysis model to make more reliable decisions. Finally, this new analysis is applied to various field case studies of road and rail carried out by the Korea Development Institute (KDI) between 2003 and 2006 to validate the new analysis model. The study found that approximately 20% of decisions resulting from the existing methodology are considered prudent. In future studies, the authors suggest analyzing the correlation between initial weights and final results since final results are enormously influenced by the initial weight.