• Proceedings of the Korean Society of Computer Information Conference
• /
• 2022.07a
• /
• pp.307-310
• /
• 2022

4차 산업혁명의 기술이 발전함에 따라 세계는 눈부시게 발전하고 있다. 그러나 그와 동시에 어르신들의 치매로 인한 사회적 비용의 증가로 발생하는 문제점 또한 무시하지 못할 수준에 이르렀다. 이에 조기에 치매를 선별하여 예방하는 것이 중요시되었으며 다양한 연구기관에서는 빠르고 쉽게 치매의 전 단계인 경도인지장애를 선별하고자 여러 선별 검사지를 제작하여 경도인지장애 선별을 통한 치매를 예방하는 데 노력하는 중이다. 하지만 다양한 상황으로 각각의 효율성이 경도인지장애 선별에 대한 기대에 미치지 못하고 있다. 그리하여 본 연구는 기존에 개발된 경도인지장애 선별지 들을 비교 분석 및 코로나 상황에 적합하게 비대면 방식으로 경도인지장애 선별이 가능하도록 보다 효율적으로 개선하였으며 이를 IoT 기기에 접목하였다. 또한 IoT 기기는 어르신들의 경도인지장애 선별검사에 대한 부담감을 줄이고자 친근한 인형 형태로 개발하였으며 상호작용을 위한 기능 제작을 통하여 마음 돌봄 서비스를 구현하였다.

• Journal of Service Research and Studies
• /
• v.7 no.3
• /
• pp.93-104
• /
• 2017

The purpose of this study was to examine the effect of variables such as student participation and activities on university students' university satisfaction and loyalty. And the implications of this study are as follows. First, students' aptitude coincidence has a positive effect on students' activities in university. And also, the attitude of class is positively related to school activities, Second, the participation of college students in school events has a positive effect on friendship, job related behavior, and university satisfaction. The friendship of college students has a positive effect on the loyalty of university satisfaction university. and job related behavior also has positive effects on university satisfaction and university loyalty. Past marketing studies have proved that interactivity among consumers is an important factor for consumers to engage in service. In college, as well, it is found that positive interaction and friendship among students are important influences on school satisfaction. The higher satisfaction of the university, the higher the intention to recommend the school. Therefore, in order to enhance the recommendation of graduates or students, it is important to satisfy the students, and this can be accomplished by management of antecedent variables that this study suggested.

• Journal of Technology Innovation
• /
• v.17 no.1
• /
• pp.119-148
• /
• 2009

The paper presents and empirically tests a model of the digital contents(DC) innovation systems that enables us to study interactions between users, service providers, contents developers and network providers, and to examine the relationship between manufacturing innovation and service innovation as well as patterns of innovation in the DC industry. The framework of Gallouj and Weinstein(1997) and Gallouj(2002) is modified into the DC innovation model according to characteristics of the DC industry, that is, user involvement and network externalities. The model is applied to a case analysis that traces the growth of the online game industry in Korea since its introduction. The model offers several advantages over other approaches in understanding the dynamics in the DC industry. Most importantly, it provides a single unified basis within which both service innovation resulting from users and service providers and manufacturing innovation induced by contents developers, platform holders and network providers are analyzed. The distinction between service and manufacturing innovation is important in many ways, for instance in selecting proper government policy tools for promotion or regulation of the DC industry. Second, the Korean online game industry has experienced both radical innovation during the beginning period and non-radical innovation throughout the maturation period. The model developed herein helps to illustrate several types of non-radical innovations such as recombinative innovation that are crucial to sustainable development of the DC industry. Third, the model clarifies impacts of network externalities that are characteristics of the DC industry.

• Proceedings of the Korea Contents Association Conference
• /
• 2011.05a
• /
• pp.5-6
• /
• 2011

사용자 중심의 감성공학으로 다변화 되어가는 유비쿼터스환경에서 디자인 요소와 결합시키는 상호작용이 요구되고 있으며 많은 연구가 진행되어 왔다. IT융합기술을 이용하여 감성 디자인을 제공하는 것은 제품 서비스 전략의 중요한 요소이다. 본 논문에서는 정보 필터링을 이용한 감성공학적 자동차 디자인 지원 방법론을 제안하였다. 제안된 방법은 사용자에게 자신의 감성에 부합하는 자동차 디자인을 제공함으로써 이를 얻기 위한 시간과 비용을 줄여주고, 손쉽게 원하는 디자인 스타일에 접근하도록 한다. 현실의 상황을 활용하고 정보 필터링으로 디자인을 추천함으로써 사용자에게 지능화된 개인화 서비스를 제공할 수 있다. 이를 사용자 인터페이스로 구축하여 논리적 타당성과 유효성을 검증하기 위해 실험적인 적용을 시도하고자 한다.

• Proceedings of the Korea Technology Innovation Society Conference
• /
• 2017.05a
• /
• pp.623-643
• /
• 2017

최근 인공지능 기술이 발달하면서 챗봇이 글로벌 IT기업들에게 새로운 IoT플랫폼으로 주목받고 있다. 챗봇이란 대화형 인터페이스 상에서 규칙 또는 인공지능(AI)을 이용해 사용자와 상호작용(interaction)을 하는 서비스를 지칭한다. 챗봇은 현재 간단한 정보검색 및 가상비서 서비스를 제공하는 수준이지만, 향후 IoT와 O2O 영역의 핵심적인 인공지능 플랫폼으로 부상할 전망이다. 챗봇은 스마트폰 디바이스와 어플리케이션을 기반으로 빠르게 확산되어 핵심 플랫폼의 지위를 차지할 것으로 예상된다. 그러나 챗봇 사용자의 수용행태에 관한 학술적 연구는 미비한 상황이다. 이에 본 연구는 기존의 기술수용이론(TAM)보다 수용의도에 대한 설명력이 높다고 검증된 통합기술수용이론(UTAUT)을 적용하여 챗봇의 사용자 수용행동에 관한 모델을 구축하였다. 구체적으로, 수용의도의 결정요인인 성과기대, 예상노력, 사회적영향, 촉진조건이 수용의도에 긍정적인 영향을 미칠 것으로 예상하였다. 이 과정에서 수용의도 결정요인과 수용의도 간의 관계를 성별, 연령, 개인혁신성이 조절할 것으로 보았다. 본 연구는 챗봇의 수용에 영향을 미치는 결정요인과 조절변인의 효과를 검증하여 실무적 시사점을 제공하고자 한다.

• Journal of Korean Society of Transportation
• /
• v.20 no.4
• /
• pp.95-107
• /
• 2002

Congestion and increasing returns to scale in the use of and in the provision of transportation facilities have been biggest challenges to policy makers. In order to counter these problems and thereby to promote economic efficiency, optimal congestion tax and marginal cost pricing are separately and strongly recommended for each case. In this paper, however, we show that they are valid only in Partial equilibrium context in which only the corresponding market is considered. We set up a formal general equilibrium model and prove that the recommended policies are not in general effective. We continue to give particular examples which show the invalidity of each policy and continue to show that in the same examples, there exist better but unconventional policies. Based on these findings we strongly suggest to employ quantify restricting policy measure or to find second-best pricing policies.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.13 no.8
• /
• pp.3680-3686
• /
• 2012

This research suggests a monitoring method to support QoS of mobile multimedia services effectively based on information gathering. It means a method in which a subscriber's terminal collects information about its current condition and its surrounding base stations, and a base station, through the data collected by monitoring inner or adjacent base station, shares related data and converges, controlling QoS on its own. In other words, as context information of mobile terminal and base station changes, set-up of related functions and QoS mapping is adapted; each function fits into the change, exchanges the process of reorganization, and interacts; these actions go toward to satisfy service continuity.

• Journal of Intelligence and Information Systems
• /
• v.16 no.4
• /
• pp.173-193
• /
• 2010

The World Wide Web is transitioning from being a mere collection of documents that contain useful information toward providing a collection of services that perform useful tasks. The emerging Web service technology has been envisioned as the next technological wave and is expected to play an important role in this recent transformation of the Web. By providing interoperable interface standards for application-to-application communication, Web services can be combined with component-based software development to promote application interaction and integration within and across enterprises. To make Web services for service-oriented computing operational, it is important that Web services repositories not only be well-structured but also provide efficient tools for an environment supporting reusable software components for both service providers and consumers. As the potential of Web services for service-oriented computing is becoming widely recognized, the demand for an integrated framework that facilitates service discovery and publishing is concomitantly growing. In our research, we propose a framework that facilitates Web service discovery and publishing by combining clustering techniques and leveraging the semantics of the XML-based service specification in WSDL files. We believe that this is one of the first attempts at applying unsupervised artificial neural network-based machine-learning techniques in the Web service domain. We have developed a Web service discovery tool based on the proposed approach using an unsupervised artificial neural network and empirically evaluated the proposed approach and tool using real Web service descriptions drawn from operational Web services repositories. We believe that both service providers and consumers in a service-oriented computing environment can benefit from our Web service discovery approach.

• The KIPS Transactions:PartD
• /
• v.14D no.7
• /
• pp.829-840
• /
• 2007

Dirty Data Cleansing technique so far have aimed to integrate large amount of data from various sources and manage data quality resided in DB so that it enables to extract meaningful information. Prompt response to varying environment is required in order to persistently survive in rapidly changing business environment and the age of limitless competition. As system requirement is recently getting complexed, Service Oriented Architecture is proliferated for the purpose of integration and implementation of massive distributed system. Therefore, SOA necessarily needs Data Exchange among services through Data Cleansing Technique. In this paper, we executed quality management of XML data which is transmitted through events between services while they are integrated as a sole system. As a result, we developed Dirty Data Cleansing Service based on SOA as focusing on data cleansing between interactive services rather than cleansing based on detection of data error in DB already integrated.

• Journal of Internet Computing and Services
• /
• v.17 no.3
• /
• pp.67-73
• /
• 2016

With the rapid development of mobile services and the prevalence of education robots, robots are being developed to become a part of our lives and they can be utilized to assist teachers in giving education or learning to students. This standard has been proposed to define the degree of autonomy for education robot. The autonomy is an ability to perform a given work based on current state and sensor value without human intervention. The degree of autonomy is a scale indicating the extent of autonomy and it is determined in between 1 and 10 by considering the level of work and human intervention. It has been adapted as per standard and education robots can be utilized in teaching the students autonomously. Education robots can be beneficial in education and it is expected to contribute in assisting the teacher's education.