• The Journal of the Korea Contents Association
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• v.8 no.10
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• pp.351-360
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• 2008

The purpose of this study is to segment visitors for beer franchise restaurants. Total of 308 questionnaires were distributed to the beer franchise restaurant customers of Kangnam area, Seoul. To accomplish the aim of this study, author took the following three steps. Firstly, literature review was done to find out selective attributes for restaurant and bar and market segmentation. secondly, Selective attributes of beer franchise were analyzed and five factors, -'additional service', 'side dish quality', 'service class', 'accessibility' and 'outlet image'- were extracted. Lastly, customers of beer franchise shop were divided into two groups by the selective attributes, -'simple visiting group' and 'active lover group'. Those variables-loyalty, intent to recommend and overall satisfaction- have significant influence on 'active lover group'. Other than that, other variables -demographic characteristics and customer's behavior characteristics- didn't play important role to distinct two groups. As a result, only basic information for setting up marketing strategy of each market was provided.

• Journal of the Korean Society for Library and Information Science
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• v.30 no.3
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• pp.25-36
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• 1996

The purpose of the study is to identify what search options are used to decide how to search on the online catalog system, and to suggest a format of the initial screen NOTIS and Dynix systems were used. Data collection was conducted in accordance with a $'2\times2'$ design. The study shows the effect on user choices of the initial men formal especially where the arrangement and breadth of search options are concerned. The availability of search options provides various users' search option selection The results of the study suggest that users can input only search term(s) on the initial screen without choice of search option Then, users may select search fields depending upon the results of searching. This method can reduce the search fail when users select wrong search option on the online catalog.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.564-565
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• 2019

The Internet of Things technology is regarded as the next major technology that will be the driving force behind the fourth industrial revolution. The characteristics of entities for Internet of Things application are changing more actively and actively, requiring a more detailed approach, but existing access control technologies are designed around users, requiring access control techniques that maintain efficiency and security with less system load to apply complex and variable content. Therefore, research on role-based access controls that are appropriate for Internet of Things entities is essential. In this study, the relevant research for the study of access control of the Internet of Things entities and the RBAC and AC methods that can define the properties of the various entities within the Internet of Things.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.236-236
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• 2020

데이터마이닝은 빅데이터를 활용하는데 주로 활용되는 기술이다. 빅데이터 활용의 중요성이 증대됨에 따라 빅데이터를 기반으로 데이터마이닝을 활용한 생산, 금융, 통신 등의 성공적인 활용사례가 있지만 상수도 시설물에 적용한 사례는 드물다. 본 연구에서는 R프로그램을 기반으로 확보하기 어려운 데이터를 얻고자 관련 기사를 수집하고 데이터마이닝의 주요 기능인 분류, 군집(K-means)분석을 수행하였다. 예를들어, 상수관로의 정밀한 누수 분석을 위해서는 관경, 매설년도 등의 세분화된 자료가 필요하나 이러한 자료들은 쉽게 확보할 수 없다는 한계를 갖고 있다. 이러한 관점에서 상수관망 단수, 누수 등의 키워드를 통해 얻을 수 있는 기사를 기반으로 주요 키워드에 대한 군집분석을 수행하여 세분화된 상수관망 자료를 획득 및 분석하였다. 단수, 누수 키워드 기사에 의해 관경정보 등 파손된 관로의 정보를 확보할 수 있는 것으로 나타났으며 향후 확보하기 어려운 데이터를 보완할 수 있는 방법 중 하나로 활용될 수 있을것으로 기대된다. 그러나, 데이터의 양과 보다 정교한 군집분석을 위한 키워드설정 등의 추가연구가 필요할 것으로 판단된다.

• Journal of KIISE
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• v.43 no.8
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• pp.933-945
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• 2016

Sharing data by multiple users on the public storage, e.g., the cloud, is considered to be efficient because the cloud provides on-demand computing service at anytime and anywhere. Secure data sharing is achieved by fine-grained access control. Existing symmetric and public key encryption schemes are not suitable for secure data sharing because they support 1-to-1 relationship between a ciphertext and a secret key. Attribute based encryption supports fine-grained access control, however it incurs linearly increasing ciphertexts as the number of attributes increases. Additionally, the decryption process has high computational cost so that it is not applicable in case of resource-constrained environments. In this study, we propose an efficient attribute-based secure data sharing scheme with outsourceable decryption. The proposed scheme guarantees constant-size ciphertexts irrespective of the number of attributes. In case of static attributes, the computation cost to the user is reduced by delegating approximately 95.3% of decryption operations to the more powerful storage systems, whereas 72.3% of decryption operations are outsourced in terms of dynamic attributes.

• Korean Journal of Environment and Ecology
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• v.30 no.5
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• pp.915-921
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• 2016

This study aims at analysing the differences on visitors' satisfactory level based-on personal lifestyles in a Korean national park. The lifestyles were classified and differences of satisfaction level among the groups were verified from a questionnaire survey in Bukhansan National Park, Korea. Lifestyles by the factor analysis, 5 factors were sorted. 4 clusters classified as the suitable clusters by clustering analysis. As a result from differences of satisfaction level on the lifestyle types, satisfaction level for each cluster has been shown to be statistically meaningful difference. Satisfaction level in active tendency cluster was the highest among the 4 cluster types(Social>Individual>Passive cluster). Satisfaction differences according to the lifestyles suggests that a fragmented approach is needed rather than an integrated approach for managing facilities and programs in Korean national park system.

• Journal of the Korea Society of Computer and Information
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• v.17 no.2
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• pp.215-224
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• 2012

This study performs an exploratory investigation of the needs of the customers who use academic information service from a research institute, K, that provides information services for domestic academic institutions of natural science and technology. K institute is planning customized services in order to improve customer satisfaction on the academic information service And therefore, the institute begins the research on customer needs analysis and customer segmentation. The research is regarded as well-timed, because CRM implementation in public organizations has been activated recently. Data mining and data warehousing techniques were used for pilot analyses. For the purpose of customer segmentation, a mixed segmentation model, which adds product life cycle concept to the 'balanced customer segmentation' model, which in turn considers the value of customers from the organizational viewpoint and the value of organizations from the customer's viewpoint, simultaneously, was applied. The result of investigation indicated that, in the case of K, 'balanced customer segmentation' and 'contents reach approach' which uses data warehouse/OLAP, rather than those customer segmentation techniques that are often used within the industry, are the more potent ways of approach. This exploratory case study is expected to provide a useful guideline for 'deriving an organizationally unique CRM model' that recently is one of the hot topics in the CRM area.

• Korean Business Review
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• v.14
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• pp.129-148
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• 2001

The purpose of this study is to survey the LOV(List Of Values) composed with the consumer's psychographic variables and is to segment consumer's value system through the LOV. Referring to the previous studies such as Rokeach's RVS, Kahke's LOV, Razzaque's Asian values, and author's Korean values, this study conducted researches of consumer's value segmentation. The result of this study finds that the Korean consumer's value system is categorized into (1) value of influence, (2) value of mammonism, (3) value of latest, (4) value of venture, (5) value of salvation, (6) value of sociality, (7) value of curiosity, (8) spirituality, and (9) value of conservativeness in order. This results will help contribute toward segmentation of Korean consumer's value. Another result of this study shows by way of ANOVA(analysis of variance) that the Korean consumer's value dimensions are closely related to demographic variables: sex, marital status, education, occupation, total families income by monthly, family structure, and age.

• International Area Studies Review
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• v.13 no.2
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• pp.770-788
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• 2009

This paper attempts to develop STP Strategy of EXPO 2012 Yeosu for attracting tourists. STP in marketing strategy refers to the process of market segmentation, market targeting, and positioning. I tested four demographic variables(age, occupation, nationality, and sex) to segment the market or the visitors of EXPO 2012 Yeosu effectively. The statistical result shows that age, occupation, and nationality are significant. Based on the three demographic factors and the visitor's purpose, I classified the expected visitors of EXPO into 12 groups, and selected 6 targeted groups: a group of Korean students with the purpose of study, a group of Korean professionals with the purpose of business, a group of foreign students with the purpose of study, a group of foreign professionals with the purpose of business, a group of Korean people in general with the purpose of tourism, and a group of foreign people in general with the purpose of tourism. In this paper, I have suggested a differentiated marketing mix for six targeted groups each.

• Journal of Korean Society of Transportation
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• v.21 no.1
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• pp.147-156
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• 2003

교통문제는 사회시스템이 복잡해짐에 따라 더욱 대처하기 어려운 국면으로 가고 있다. 따라서 교통시스템의 변화 예측도 용이하지 않다. 복잡계(complex system)의 하나로 볼 수 있는 교통시스템을 대처하는데 있어 전통적인 상의하달(上意下達) 접근에 한계가 있음을 부인할 수 없다. 지난 10여년 동안 물리학, 시스템공학, 컴퓨터공학 분야 등 다양한 분야에서 복잡계에 대한 활발한 연구가 진행되고 있다. 복잡계의 해석을 위한 새로운 개념과 접근기법들이 도입되고 있는데, 그들 중 에이젠트기반모형(agent-based modelling)은 교통분야에 적용 가능한 매우 흥미를 있는 기법으로 보인다. 본 글에서는 에이젠트기반모형이 무엇이며, 어떻게 사용되고 있으며, 교통분야에서의 적용가능성을 검토하였다. 본 글에서 제시한 에이젠트기반접근은 기존 방법과는 다른 하의상달(下意上達) 방식의 기법이다. 이는 시스템의 개별 구성원인 에이젠트의 행태와 에이젠트간의 상호작응에 초점을 둔다. 에이젠트의 행태와 상호작용의 규칙이 변함에 따라 전 에이젠트시스템에 나타나는 변화를 추적할 수 있다. 오늘날 교통문제의 복잡성은 교통시스템의 더욱 세분화된 하부시스템의 다양화와 상호작용, 그리고 개별 차량 또는 운전자의 행태와 상호작용에서 기인된다고 볼 수 있다. 따라서 에이젠트기반의 접근은 아직 연구는 미흡하지만 복잡한 교통시스템의 운영과 분석에 적용잠재력이 큰 기법으로 판단된다.