• Journal of Korean Library and Information Science Society
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• v.52 no.1
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• pp.155-178
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• 2021

In the era of the 4th industrial revolution, public libraries need a strategy for promoting intelligent library services in order to actively respond to changes in the external environment such as artificial intelligence. Therefore, in this study, based on the concept of artificial intelligence and analysis of domestic and foreign artificial intelligence related trends, policies, and cases, we proposed the future direction of introduction and development of artificial intelligence services in the library. Currently, the library operates a reference information service that automatically provides answers through the introduction of artificial intelligence technologies such as deep learning and natural language processing, and develops a big data-based AI book recommendation and automatic book inspection system to increase business utilization and provide customized services for users. Has been provided. In the field of companies and industries, regardless of domestic and overseas, we are developing and servicing technologies based on autonomous driving using artificial intelligence, personal customization, etc., and providing optimal results by self-learning information using deep learning. It is developed in the form of an equation. Accordingly, in the future, libraries will utilize artificial intelligence to recommend personalized books based on the user's usage records, recommend reading and culture programs, and introduce real-time delivery services through transport methods such as autonomous drones and cars in the case of book delivery service. Service development should be promoted.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06d
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• pp.100-102
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• 2006

본 논문에서는 분산응용 개발 및 관리에 대한 사용자의 요구사항을 만족시킬 수 있는 분산서비스 맞춤형 소프트웨어 아키텍쳐인 분산객체그룹 프레임워크를 제안한다. 분산객체그룹은 응용을 구성하는 분산객체들을 하나의 논리적인 그룹으로 관리하며, 분산객체그룹 프레임워크는 분산응용의 개발자 관점에서 응용의 범위를 효율적으로 정의할 수 있을 뿐 아니라, 프레임워크의 지원 분산서비스를 응용과 독립적으로 적용할 수 있다. 프레임워크의 컴포넌트로 그룹관리자와 보안모듈, 모바일프락시, 컨텍스트제공자 및 DPD-Tool을 포함하며, 실시간 서비스를 위한 실시간관리자, 스케쥴러를 갖는다. 본 프레임워크는 분산서비스 지원 컴포넌트들의 상호작용으로 적응성(adaptability), 확장성(scalability), 보안성(security), 이동성(mobility) 및 신뢰성(reliability)을 제공하며, 분산응용을 개발 시 필요한 분산서비스를 모듈 단위로 선택하여 실제 응용 수행 시 선택한 분산서비스를 통해 그 수행성이 보장되도록 한다.

• Korean Institute of Interior Design Journal
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• v.20 no.2
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• pp.72-84
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• 2011

In accordance with an active development, we now enjoy web 2.0 generation centering bilateral participation through the web 1.0 environment mainly providing the offering information and take a step web 3.0 understanding information by itself. The same time of digital technic development, consumption market arrived at market3.0 generation, also passed by market 1.0 and went via market 2.0 based on bilateral participation and understanding. This change have the marketing implement index changed as well. Nowadays, 7C is generalized of making up sensibility, emotion, communication, relationship, customization and interactive built as a major strategy from the day of 3p focused on customer environment, service process and 4P focused on physical quality of product. It isn't that brand and merchandise create life and experience like as past. It is focused on embodiment of a way of life, culture and creative experience from consumers' own. This treatise, therefore, fixes the object as flagship store positively reflecting the change and examine the change of a marketing code element and social factor stimulating customer behavior change. As a condition of this study, It fixes Maslow Motivation Theory as the main index of customer behavior, and 7C as the marketing code. This treatise ultimately studies the index of flagship store discussion based on domestic outdoor brand cases.

• Korean Management Science Review
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• v.17 no.3
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• pp.19-30
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• 2000

Customization and personalization services are considered as a critical success factor to be a successful Internet store or web service provider. As a representative personalization technique, personalized recommendation techniques are studied and commercialized to suggest products or services to a customer of Internet storefronts based on demographics of the customer or based on an analysis of the past purchasing behavior of the customer. The underlining theories of recommendation techniques are statistics, data mining, artificial intelligence, and/or rule-based matching. In the rule-based approach for personalized recommendation, marketing rules for personalization are usually collected from marketing experts and are used to inference with customers data. however, it is difficult to extract marketing rules from marketing experts, and also difficult to validate and to maintain the constructed knowledge base. In this paper, we proposed a marketing rule extraction technique for personalized recommendation on Internet storefronts using market basket analysis technique, a well-known data mining technique. Using marketing basket analysis technique, marketing rules for cross sales are extracted, and are used to provide personalized advertisement selection when a customer visits in an Internet store. An experiment has been performed to evaluate the effectiveness of proposed approach comparing with preference scoring approach and random selection.

• Journal of Digital Contents Society
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• v.9 no.4
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• pp.617-624
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• 2008

Global economy is moving to digital economy accelerated by the rapid development of ICT (information and communication technology). However, the progress in e-business in developing countries has been slow due to the lack of experience, technology, and basic infra structure. One way to solve this problem is to provide them with customized e-business solution, training, and contents service. In this paper, we design an E-business Training Supporting System (E-TSS) for developing countries. It consists of a simple business blog to support business web page and a customized e-business solution. The E-TSS is customized for individual country. This customization becomes more effective utilizing an intelligent agent based upon recognizing unique characteristics such as language and time. The E-TSS is implemented and utilized by APEC (Asia-Pacific Economic Cooperation) Women's e-Biz Center.

• Fashion & Textile Research Journal
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• v.11 no.3
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• pp.437-444
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• 2009

According to the activation of the fashion electronic commerce, this research investigated the merits and demerits and improvement plan of the 3D virtual try-on technology using the qualitative research method. This research was performed by interview with 70 evaluation group. The evaluation group of 3D virtual try-on was organized and the fit evaluation process by 3D human body scan and the 3D virtual try-on of the i-Fashion technology center were experienced. This study was performed by interview after the actual and virtual try-on about the casual shirt. The convenience and accuracy of measurement, usability in online shopping, body evaluation, complement of sizing system, and body shape management were discovered as merits. The requirement of high accuracy in sizing and avatar, limits of fabric expression, practical limitation by cost, vexatious of measurement garment, differences between real and virtual fittings, personal information leakage risk, and etc were pointed out as demerits. The mass customization, customized garment connected with medical service, humanized avatar, improved fitting report, entertainment, coordination, wardrobe manager were proposed as improvement plan.

• The Journal of the Korea Contents Association
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• v.2 no.4
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• pp.30-39
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• 2002

The need for customized website design has been increased these days. There are two approaches for customizing website design. A Static/Selective approach is easily applied to website design, but is hard to provide a more refined customized service due to its lack of accumulation of customer data. In the Transparent/Adaptive approach, it is easy to apply an intrinsic value of customer, but without sufficient customer data, inappropriate customization is liable to occur. In this paper, directions such as "control of customer participation level", "collection of contextual information" and "development of filtering methods for design elements are suggested for the integrated use of these approaches. use of these approaches.

• Journal of the Korean Association of Geographic Information Studies
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• v.6 no.4
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• pp.71-84
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• 2003

This paper designs and implements an integrated map server to produce an integrated map. Two requirements for the proposed map server are as follows. First, the system should support a customization of metadata to meet user's requirements. The map server designed here will predefine information such as representations, regions required for client-side processing in the metadata. This will allow users easily acquire an integrated map in the required form of clients. Second, the system should be able to support not only the integration of spatial data but also their non-spatial data. Fusion service is realized by using the concept of linking. The integrated map server suggested in this paper can improve the quality of the fusion service by integrating the results of the map servers according to user's requests. Our experiments shows that the integrated map server reduces the response time in web mapping environments.

• The Journal of the Korea Contents Association
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• v.16 no.2
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• pp.277-286
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• 2016

This study proposes customized design process and methodology for wordpress web service based on structural analysis of wordpress theme components to enhance design quality of wordpress sites and increase designer's role in wordpress service domain. Firstly, we have identified problems of wordpress theme information through exploring theme search and theme information analysis in main wordpress theme markets. Secondly, we set up case study to experiment full process of wordpress theme based web design, then found unique problems in each design phases. As a result, customized design process and methodology are proposed for wordpress theme based web design.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.10 no.3
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• pp.95-100
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• 2011

Due to rapid growth and development of telecommunication information technology, interest has been amplified regarding ubiquitous network computing and user-oriented service. Also, the rapid development of related technologies has been a big spotlight. Smart phone, with features such as a PC with advanced features is a mobile phone. According to environment and infrastructure development, a variety of mobile-based application software to provide various kinds of information and services has been released. However, most of them are provider-driven information systems and aim to provide large amounts of information simply to an unspecified number of users. Therefore, customized or personalized provision of information and service explained earlier for individual users has been hardly come true. According to background and need, this study wants to design and implement recommendations system for personalization and customization in mobile environments. To acquire more accurate recommendation results, recommendation system shall be composed using the Hybrid Filtering. Effective information recommendation according to user's situation by using user's context-information of purpose and location that are available in mobile devices before running the filtering of the information to improve the quality of recommendations.