• Proceedings of the Korean Institute of Building Construction Conference
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• 2020.06a
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• pp.48-49
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• 2020

Recently the diversification of construction market and the continuous reduction of construction amount are raising the need of alternative delivery method in the construction industry. The foreign advanced companies actively adopted the CM at Risk delivery method where they perform the service of agent CM in the design phase, and agree GMP(Guaranteed Maximum Price) with the client at the time of 50~80% completion of design. Even in Korea they began to apply that method to pilot projects. In CM at Risk, through the early participation of builder, the level of design completion can be improved and the change order and construction period delay can be minimized. On the other hand, GMP is usually calculated when the design is about 80% complete, so there is uncertainty in the construction cost. Therefore, in this research, the increased amounts of construction cost are analyzed in a number of public construction projects, and GMP calculation process is proposed using the analysis results and CBR(Case-Based Reasoning) technique to reduce the construction cost increase in the construction phase.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.985-988
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• 2008

유비쿼터스 컴퓨팅 환경에서는 공유 가능한 자원들이 산재되어 존재하며 사용자는 이를 기반으로 최적의 서비스를 제공받기를 원한다. 그러나 환경 내에는 다양한 상황과 서비스들이 존재하며 사용자 개인의 선호 정보 역시 매우 다양한 것이 현실이다. 그러므로 사용자가 원하는 서비스의 제공을 위해서는 사용자가 어떠한 상황에서 어떠한 서비스를 요청했으며, 어떤 자원이 사용자의 현재 상황에 적절한지를 판단하여, 사용자 요구사항에 맞는 자원을 추론하는 과정이 반드시 필요하다. 본 논문에서는 사용자가 최적의 서비스를 제공받을 수 있도록 주변의 공유 가능한 자원들을 추론하고 이들을 추천하기 위한 방법을 제안한다. 이를 위하여 사용자의 상황을 인식하기 위한 방안으로 온톨로지를 이용한 상황추론 방법을 제안한다. 또한 사용자 선호 정보를 반영하여 개인 맞춤형 자원을 추천하기 위한 추론방법의 하나로 규칙을 이용한 추론방법을 제안한다.

• Journal of KIISE:Software and Applications
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• v.37 no.7
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• pp.548-557
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• 2010

In this paper, we propose a semi-automatic modeling approach of ontology to annotate VOD to realize the IPTV's intelligent searching. The ontology is made by combining partial tree that extracts hypernym, hyponym, and synonym of keywords related to a service domain from WordNet. Further, we add to the partial tree new keywords that are undefined in WordNet, such as foreign words and words written in Chinese characters. The ontology consists of two parts: generic hierarchy and specific hierarchy. The former is the semantic model of vocabularies such as keywords and contents of keywords. They are defined as classes including property restrictions in the ontology. The latter is generated using the reasoning technique by inferring contents of keywords based on the generic hierarchy. An annotation generates metadata (i.e., contents and genre) of VOD based on the specific hierarchy. The generic hierarchy can be applied to other domains, and the specific hierarchy helps modeling the ontology to fit the service domain. This approach is proved as good to generate metadata independent of any specific domain. As a result, the proposed method produced around 82% precision with 2,400 VOD annotation test data.

• Journal of Engineering Education Research
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• v.12 no.4
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• pp.93-101
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• 2009

Many engineering professors are forced to execute ABEEK activities. Engineering professors are evaluated by their educational, research and service activities, but are mainly by their research papers published in professional journals. The gap between the duties and the evaluation criteria exists among engineering professors. This paper deals with the possible ways of including the ABEEK activities in the engineering professor evaluation system. Among the five ways suggested for a simple survey, tenured professors prefer to reduce the lecture time but junior professors prefer to reduce the research burden for the benefit from executing ABEEK activities. Based on logical reasoning and the preference among the surveyed professors, ABEEK related activities may be included in the educational part for the professor evaluation system before the ABEEK system is matured. However, ABEEK related activities have to be converted to the duties of engineering professors in the long run as in the US universities.

• Journal of the Korea Society of Computer and Information
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• v.16 no.9
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• pp.19-26
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• 2011

Users want to receive customized service using users' personal device. To fulfill this requirement, the mobile device has to support a lot of functions. However, the mobile device has limitations such as tiny display screens. To solve this limitation problem and provide customized service to users, this paper proposes the environment to provide services by sharing resources and the method to recommend user-suitable resources among sharable resources. For the resource recommendation, This paper analyzes user's behavior pattern from usage history and proposes the method for recommending customized resources. This paper also shows that the approach is reasonable one for resource recommendation through the satisfaction evaluation.

• The KIPS Transactions:PartD
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• v.10D no.1
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• pp.125-132
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• 2003

The Internet reservation service is one of the most utilized internet services, specifically the agent efficiently supports this reservation services. The Agent will replace the repetitious reservation process and selectively offering the most proper service information. In this study, the user assisting agent system that can enable people to make reservation of public transportations through the internet is designed and implemented. This system consists of multiple agents that are Interface agent, 4ask agents and filtering agent. The interface agent is an arbitrator of this system that analyzes user's demand and integrate agent's result. And it has user-adaptive capability using case-based reasoning. There are three task agents if this system, it executes information gathering and information-change monitoring of each. Filtering agent extracts information only about reservation status in gathered information. Finally, this system is to offer integrated information of the reservation status about train and airplane and execute the simple-repetitious works for the reservation instead of user by agents.

• Journal of the Korea Society of Computer and Information
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• v.16 no.6
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• pp.99-109
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• 2011

Ubiquitous computing technology makes an impact on the appearance of u-learning and presents an advanced direction of futuristic school education. In ubiquitous learning environments, various embedded computational devices will be pervasive and interoperable across the network for supporting the learning, so users may utilize these devices anytime anywhere. An important next step for ubiquitous learning is the introduction of context-aware learning service that employing knowledge and reasoning to understand the local context and share this information in support of intelligent learning services. However, the existing studies on design and application of ontology context model to support context-aware service in actual school environments are incomplete state. This paper, therefore, suggests a scheme of constructing ubiquitous learning space for existing school network by introducing USN to support context-aware ubiquitous learning services. This paper, also, designs an ontology based context model for ubiquitous school environments which describes context information through OWL. To determine the suitability of proposed ubiquitous learning space and ontology context model, we implement some of context-aware learning services in the ubiquitous learning environments.

• Journal of Digital Contents Society
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• v.18 no.3
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• pp.535-542
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• 2017

The ubiquitous computing made it happen to easily take cognizance of context, which includes user's location, status, behavior patterns and surrounding places. And it allows providing the catered service, designed to improve the quality and the interaction between the provider and its customers. The personalized recommendation service needs to obtain logical reasoning to interpret the context information based on user's interests. We researched a model that connects to the practical value to users for their daily life; information about restaurants, based on several mobile contexts that conveys the weather, time, day and location information. We also have made various approaches including the accurate rating data review, the equation of Naïve Bayes to infer user's behavior-patterns, and the recommendable places pre-selected by preference predictive algorithm. This paper joins a vibrant conversation to demonstrate the excellence of this approach that may prevail other previous rating method systems.

• Journal of the Korean earth science society
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• v.41 no.2
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• pp.194-207
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• 2020

The purpose of this study is to identify the types and characteristics of elementary school pre-service teachers revealed in the process of resolving the change of lunar phases, which emphasizes the context of actual observation, and to provide suggestions for areas to be considered in the elementary school teacher training program. To this end, we analyzed the 30 pre-service teachers' explaining the observable lunar phases, and the main research results are as follows. First, the phase change of the moon was often explained by introducing the timetable for each phase of the moon rather than based on observation of the phenomenon and scientific reasoning. Second, an alternative concept of the type that the moon is invisible when the sun rises or that the moon can always be observed has been identified. Third, there was a case of explaining that the time and orientation for observing the moon can be observed regardless of the position of the sun or when observing the sun. Also, the date of observing the moon was assumed to be approached by assuming the lunar calendar. Based on the above results, pedagogical implications were discussed.

• Journal of Intelligence and Information Systems
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• v.12 no.2
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• pp.67-81
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• 2006

While the existing Web focuses on the interface with human users based on HTML, the next generation Web will focus on the interaction among software agents by using XML and XML-based standards and technologies. The inference engine, which will serve as brains of software agents in the next generation Web, should thoroughly understand the Semantic Web, the standard language of the next generation Web. As abasis for the service, the W3C (World Wide Web Consortium) has recommended SWRL (Semantic Web Rule Language) which had been made by compounding OWL (Web Ontology Language) and RuleML (Rule Markup Language). In this research, we develop a backward chaining inference engine SMART-B (SeMantic web Agent Reasoning Tools -Backward chaining inference engine), which uses SWRL and OWL to represent rules and facts respectively. We analyze the requirements for the SWRL-based backward chaining inference and design analgorithm for the backward chaining inference which reflects the traditional backward chaining inference algorithm and the requirements of the next generation Semantic Web. We also implement the backward chaining inference engine and the administrative tools for fact and rule bases into Java components to insure the independence and portability among different platforms under the environment of Ubiquitous Computing.