• Journal of Korean Library and Information Science Society
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• v.39 no.3
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• pp.3-26
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• 2008

In most countries the public library run as a public institution and a symbolic icon for a democratic society. Therefore public library's publicity is absolutely essential value and profit should not be made on their maintenance. More recently, as the government's budget spending increase, however, many local governments contract out to manage an entire library or new library system. Three main reasons could be identified. Firstly, alternative solutions for maintenance were supposed to save money. Secondly, contracting out provides an opportunity to improve the quality of service delivery. Thirdly, central government and some local authorities had very strong ideological reasons for contracting out of the public libraries. However, nothing proved that alternative maintenance had caused lower cost and better services in Korea. In this paper, the reasoning of a move from the traditional form of public library governance is discussed, as well as the advantages and disadvantages contracting out of the public libraries, and suggested various practical solutions in Korea.

• Korean System Dynamics Review
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• v.5 no.2
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• pp.67-88
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• 2004

This paper attempts to explore the generic pitfalls of the traditional number-crunching methods adopted thus far for the forecast of newly emerging market trends, and present an alternative by introducingsystems thinking to the portable Internet service market as an example, followed by its rationale as a new tool for forecasting and some reasoning about why traditional methods are no longer appropriate. Most adoption models in general to forecast market trends have several limitations due to theirbasic assumptions and prospective. First, they fail to capture dynamic interactions among the factors involved over time, with implicit assumptions of 'unilateral causality' in that each factor contributes as a cause to the effect, i.e., causality runs one way; each factor acts independently the weighting factor of each is fixed, etc. Second, the number-crunching models have no way of taking into account the impact of delayed feedback often caused by introducing new policies and legislative changes on the whole system under investigation. Third, there is not a way to reflect the effect of competition by players.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2004.11a
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• pp.147-150
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• 2004

기존의 방송환경은 시청자에게 단 방향의 서비스를 제공하며, 시청자 각자의 취향에 상관없이 소극적인 자세를 요구한다. 이러한 일방적인 사용자 시청환경에서는 대개의 프로그램들은 방송사에 의해 다수 사용자의 대표적인 시간대에 적절하게 배치되고, 적절하게 배분된 프로그램의 인기도 혹은 시청률, 시청 연령, 시간대에 따른 광고가 그 프로그램을 지원하게 된다. 시청자의 적극적 선별 노력에 의해 선택된 프로그램과 달리 방송 프로그램 콘텐츠와 같이 전송되는 광고는 사용자가 원하는 대개의 프로그램을 지원하는 중요한 수단이지만, 정작 시청자의 관심과는 상관없이 제공된다. 또한, 디지털 방송의 시작과 함께 양방향 서비스 환경에서도 사용자를 고려한 광고의 적절한 분배가 이루어지지 않고 있다. 이러한 일률적인 광고 콘텐츠의 제공은 시청자의 무관심을 초래할 수 있으며, 이러한 경향이 높을수록 효율적인 정보 제공에 많은 제한을 받을 수 있다. 본 논문에서는, 제한적 정보 제공의 해소와 새로운 시청 환경 제안을 위한, 시청자의 성별 및 연령 대를 추론하는 알고리즘을 제안하고 이를 맞춤형 광고, 즉 표적 광고 서비스(Target Advertisement Service) 기법을 제안한다.

• Journal of Internet Computing and Services
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• v.11 no.4
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• pp.85-94
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• 2010

In this paper, we propose a location-prediction structure that can provide user service in advance. It consists of seven steps and supplies intelligent services which can forecast user's location. Context information collected from physical sensors and a history database is so difficult that it can't present importance of data and abstraction of data because of heterogeneous data type. Hence, we offer the location-prediction that change data type from heterogeneous data to homogeneous data. Extracted data is clustered by SOFM, then it gets user's location information by ARIMA and realizes the services by a reasoning engine. In order to validate the proposed location-prediction, we built a test-bed and test it by the scenario.

• Journal of Distribution Science
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• v.15 no.3
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• pp.27-37
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• 2017

Purpose - The current study analyzes the effect of business startup education on business startup education satisfaction and entrepreneurial intention. Also, it attempts to discover if business startup confidence plays a moderating role between business startup education satisfaction and entrepreneurial intention. Research design, data, and methodology - The survey was conducted for approximately 60 days, from July 20, 2016 to September 20, 2016, and distributed to 300 restaurant founders who started their business through business startup education provided by Korea Food Service Industry Association in Seoul, Kyungki and Incheon or existing business founders. Results - Per multiple regression analysis of business startup education and business startup education satisfaction, among business startup education, all law, entrepreneurship, commercial power analysis, and practical education have significantly positive effect. Per simple regression analysis of business startup education satisfaction and entrepreneurial intention, business startup education has significantly positive effects on entrepreneurial intention. Business startup education satisfaction and business startup confidence interaction show that they do not have a moderating role between business startup education satisfaction and entrepreneurial intention. Conclusions - Setting up theoretical reasoning, this study supports conclusions drawn by prior studies: business startup education has significantly positive effects on business startup education satisfaction and entrepreneurial intention.

• Journal of Integrative Natural Science
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• v.10 no.3
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• pp.162-170
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• 2017

In this paper, it is aim to implement a wheelchair monitoring system that provides users with customized medical services easily in everyday life, together with mobility guarantee, which is the most basic requirement of the elderly and disabled persons with physical disabilities. The case-based intelligent wheelchair monitoring system proposed in this study is based on a case-based k-NN algorithm, which implements a system for constructing and inferring examples of various biometric and environmental information of wheelchair users as a knowledge database and a monitoring interface for wheelchair users. In order to confirm the usefulness of the case-based k-NN algorithm, the SVM algorithm showed an average accuracy of 84.2% and the average accuracy of the proposed case-based k-NN algorithm was 86.2% And showed higher performance in terms of accuracy. The system implemented in this paper has the advantage of measuring biometric information and data communication regardless of time and place and it can provide customized service of wheelchair user through user friendly interface.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.4
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• pp.678-686
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• 2007

Ubiquitous services are high duality and differentiated services which are provided for users by recognizing the context of users and environmental conditions actively. In this case, context-aware middleware is one of the most important technologies required to implement the ubiquitous services. In this paper, we proposed a method for providing ubiquitous services in a specific user space effectively. That is, the design and implementation of intelligent home service middleware based on context awareness is discussed here. Context information from various sensors is gathered, and suitable services are inferred and provided to users by the middleware system.

• Journal of Information Technology Services
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• v.18 no.1
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• pp.27-44
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• 2019

The goal of this study is to find why the consumers are reacting slowly or negatively toward smartwatches. Even though, smartwatches provide useful information such as health care and text message, the market was not growing fast as expected, and seems to be stagnant at this point. Thus, the future market predictions are varied. To find out why this may have happened, a Q-method study using non-adopters was conducted. In order to find out depth explanations from each interviewers, the research team chose the Q method and Q sorting to classify the different reasons for non-adopters. Based on the interview, all participants were clustered with into groups with similar patterns of the answers. The research team classified the interview group to three categories 1) Technology Discontent 2) Service Discontent 3) Indifferent. The research team analyzed each category reasoning and logics. Also the team compared the result to the technology chasm as it was proposed by Rogers (1969) to measure the maturity of the consumers.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.4
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• pp.15-24
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• 2019

Currently, museums and architectural heritage provide augmented user experiences by incorporating various media technologies. They still, however, suffer from the limitation of entertainment-based and the provision of location-based simple and repetitive contents. In addition, while acting as a key medium of experience for architectural heritage, the concept of space is not properly reflected in current services. The purpose of this study is to design user space experience considering such characteristics of architectural heritage. The spatial experience content and content production platform are defined. This software platform creates content that enhances the experience of the place by giving a context-based digital data associated with space and objects. The spatial experience content is designed as a series of experience sequences. The composition of the sequence borrows the method of film and narrative which segment and connect consecutive experiences on a scene basis considering user's detailed spatial experience. Therefore, content components can be combined and reproduced in various types. Augmented contents were extracted by using rule-based reasoning function of ontology at the moment. As a practical example of architectural heritage, the Seokjojeon Hall is used to reveal a spatial experience scenario.

• International Journal of Computer Science & Network Security
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• v.22 no.1
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• pp.61-68
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• 2022

The present study was based on developing an AI based model to facilitate the academic registration needs of blind students. The model was developed to enable blind students to submit academic service requests and tasks with ease. The findings from previous studies formed the basis of the study where functionality gaps from the literary research identified by blind students were utilized when the system was devised. Primary simulation data were composed based on several thousand cases. As such, the current study develops a model based on archival insight. Given that the model is theoretical, it was partially applied to help determine how efficient the associated AI tools are and determine how effective they are in real-world settings by incorporating them into the portal that institutions currently use. In this paper, we argue that voice-activated personal assistant (VAPA), text mining, bag of words, and case-based reasoning (CBR) perform better together, compared with other classifiers for analyzing and classifying the text in academic request submission through the VAPA.