• 지능정보연구
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• 제9권1호
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• pp.91-107
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• 2003

하이퍼링크 기반 추론은 웹의 하이퍼텍스트 기능을 이용함으로써 접근성, 멀티미디어 기능,빠른 응답 시간, 서버의 안정성, 사용 및 업그레이드의 용이성, 플랫폼 독립성 등을 갖는 의료 전문가시스템을 구현할 수 있도록 해 준다. 전문가의 규칙에 따라 서로 하이퍼링크된 HTML문서들은 웹 서버에 적재된 후 추론 기능을 제공하게 되는데, 이러한 HTML문서들은 자체 개발한 WeBIS (Web-based Inference System)라는 GUI 기반 의사결정 그래프 편집 도구에 의해 자동으로 관리된다. 그럼에도 불구하고, 의료분야 전문가시스템이 다루는 규칙베이스의 크기가 큰 경우에 지식공학자가 이들 규칙들을 수작업으로 입력, 관리하는 것이 매우 어렵게 된다. 따라서, 본 연구에서는 고혈압 관리를 위 한 의사결정 그래프 자동 생성 시스템을 개발하였다. 이러한 일련의 과정을 통하여 본 연구에서는 하이퍼링크 기반 추론 기법을 이용하여 웹 기반 의료 전문가 시스템을 개발하는 방법론을 제시하였고, 그 응용으로써 빠른 응답속도와 안정성을 보이는 웹기반 고혈압 관리 시스템을 구현하였다.

• 정보보호학회논문지
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• 제22권6호
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• pp.1293-1300
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• 2012

모바일 디바이스의 진화와 무선 네트워크의 발전으로 스마트폰 기반 모바일 소셜 네트워크 서비스의 사용자가 증가하고 있다. 또한 실시간 의사소통과 정보공유에 따른 개인정보 유출이 심각한 사회적 문제로 대두되고 있다. 이에 본 연구에서는 먼저 OpenAPI를 이용하여 소셜 네트워크 서비스 플랫폼에 연동 가능한 프레임워크를 설계하고, 개인정보보호 강화를 위해 구현된 프레임워크에 인증과 탐지 메커니즘을 제안하였다. 인증 방식으로는 아이디와 패스워드를 사용하고 탐지 방법은 사용자가 지정한 입력패턴을 분석하여 개인정보보호 가이드라인에 해당하는지 사전에 미리 검증함으로써 소셜 네트워크 서비스 환경에서의 개인정보보안을 강화하였다. 마지막으로 성능 평가를 수행하여 본 연구의 효율성 및 타당성을 입증하였다.

• 한국과학예술포럼
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• 제20권
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• pp.409-419
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• 2015

서비스디자인 플랫폼(Service Design Platform)은 지식경제부에서 시행하고 있는 '서비스 융합형 디자인 컨설팅 지원기술 개발사업'의 일환으로 서비스디자인 기업들이 온라인에서 서비스디자인 과제를 원활하게 할 수 있도록 하기 위한 목적으로 개발되었다. 서비스디자인 플랫폼 개발과정에서 플랫폼의 사용성을 검증하고 개선시키기 위해서는 사용자의 참여에 의한 사용성 테스트(Usability Test)와 더불어 전문가에 의한 휴리스틱 평가(Heuristic Evaluation)가 요구된다. 본 연구는 전문가에 의한 휴리스틱 평가를 실시하기에 앞서 평가대상에 적합한 평가영역과 세부 평가항목을 도출하기 위한 목적으로 진행되었다. 연구를 위해서 내부 연구자들이 사용성 영역과 평가대상인 서비스디자인 플랫폼의 특징요소, 설계요소, 커뮤니티 요소 등을 설정하였고, 이를 세부항목에 반영해서 평가지표를 분류하고 도출하였다. 이어서 평가지표에 대한 타당성과 신뢰성 검증을 위해 전문가를 대상으로 델파이 조사를 실시해서 4개의 평가영역과 44개의 세부항목으로 구성된 평가지표를 도출하였다. 도출된 평가지표는 체크리스트로 활용해서 향후 전문가에 의한 휴리스틱 평가 시 활용될 계획이다.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.437-443
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• 2013

Recently, sustainable building design, a growing field within architectural design, has been emerged in the construction industry as the practice of designing, constructing, and operating facilities in such a manner that their environmental impact, which has become a great concern of construction professionals, can be minimized. A number of different green rating systems have been developed to help assess that a building project is designed and built using strategies intended to minimize or eliminate its impact on the environment. In the United States, the widely accepted national standards for sustainable building design are known as the LEED (Leadership in Energy and Environmental Design) Green Building Rating System. The assessment of sustainability using the LEED green rating system is a challenging and time-consuming work due to its complicated process. In effect, the LEED green rating system awards points for satisfying specified green building criteria into five major categories: sustainable sites, water efficiency, energy and atmosphere, materials and resources, and indoor environmental quality; and sustainability of a project is rated by accumulating scores (100 points maximum) from these five major categories. The sustainability rating process could be accelerated and facilitated by using computer technology such as BIM (Building Information Modeling), an innovative new approach to building design, engineering, and construction management that has been widely used in the construction industry. BIM is defined as a model-based technology linked with a database of project information, which can be accessed, manipulated, and retrieved for construction estimating, scheduling, project management, as well as sustainability rating. This paper will present a framework representing the building knowledge contained in the LEED green building criteria. The proposed building knowledge framework will be implemented into a BIM platform (e.g. Autodesk Revit Architecture) in which sustainability rating of a building design can be automatically performed. The development of the automated sustainability rating system and the results of its implementation will be discussed.

• 한국빅데이터학회지
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• 제1권2호
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• pp.9-19
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• 2016

ICT 융합에 대한 관심이 높아진 가운데 독일의 Industry 4.0을 시작으로 제조업과 ICT 융합에 대한 연구가 활발하게 진행되고 있다. 이를 통해 전통적인 제조업의 제조단가를 낮추고 극적인 품질향상을 기대할 수 있게 되었다. 최근 정부의 제조업 3.0 전략 등에 힘입어 국내에서도 제조업에 대한 고도화가 진행되고 있으며, 이러한 추세에 발맞추어 제조업 운영에서 발생하는 빅데이터에 대한 주문맞춤형 분석 플랫폼을 개발하고 이를 통해 제조 현장의 경쟁력을 높이고자 한다. 주문맞춤형 분석 플랫폼은 확장성을 고려하여 스프링 프레임워크를 기반으로 웹에서 실행되도록 설계되었으며, 제조업 현장에서 발생하는 다량의 데이터를 빠르게 처리하기 위하여 스파크와 하둡 파일 시스템을 이용한다. 실시간으로 스트리밍 된 데이터를 프로세스 마이닝 기반 알고리즘을 통해 처리하고 공장의 현황을 분석하여 제조업 현장의 문제를 파악하고 신속한 의사결정을 지원할 수 있다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.1071-1076
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• 2003

In this work, we propose a new framework of robot control for a variety of applications to our unstructured everyday environments. Programming robots can be a very time-consuming process and seems almost impossible for ordinary end users. To cope with this, this work is to provide a software framework for building robot application programs automatically, where we have robots learn how to accomplish a commanded task from the object. An integrated sensing and computing tag is embedded into every single object in the environment. In the robot controller, only the basic software libraries for low-level robot motion control are provided from the robot manufacturer. The main contributions of this work is to develop a server platform that we call Omniscient Server that generates the application programs and send them to the robot controller through the network. The object-related information from the object server merges into robot control software to generate a detailed application program based on the task commands from the human. We have built a test bed and demonstrated that a robot can perform a common household task within the proposed framework.

• ETRI Journal
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• 제43권5호
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• pp.835-855
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• 2021

With the recent increase in data disclosure, the Comprehensive Knowledge Archive Network (CKAN), which is an open-source data distribution platform, is drawing much attention. CKAN is used together with additional extensions, such as Datastore and Datapusher for data management and Harvest and DCAT for data collection. This study derives the problems of CKAN itself and Harvest Extension. First, CKAN causes two problems of data inconsistency and storage space waste for data deletion. Second, Harvest Extension causes three additional problems, namely source deletion that deletes only sources without deleting data themselves, job stop that cannot delete job during data collection, and service interruption that cannot provide service, even if data exist. Based on these observations, we propose herein an improved CKAN that provides a new deletion function solving data inconsistency and storage space waste problems. In addition, we present an improved Harvest Extension solving three problems of the legacy Harvest Extension. We verify the correctness and the usefulness of the improved CKAN and Harvest Extension functions through actual implementation and extensive experiments.

• Journal of Smart Tourism
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• 제1권1호
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• pp.41-52
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• 2021

This paper explored the digital application of intangible cultural heritage from the perspective of cultural ecology. Through field investigations, combined with cultural ecology theory, an ontology-based semantic web technology was proposed, and Nanjing "Yunjin" brocade weaving technique was selected as the research object. The specific steps were as follows: First, based on the field surveys and cultural ecology theory, the intangible cultural ecological environment was divided into natural and social environments. Next, constructing the intangible cultural heritage ontology was constructed, including the collection and collation of Nanjing Yunjin weaving technique knowledge corpus, based on user needs analysis and corpus analysis, CIDOC CRM was used to create rules to build the ontology. Finally, based on the MediaWiki platform and Semantic MediaWiki, the semantic web model of the intangible cultural heritage was designed, and its semantic retrieval function was realized, thereby achieving the practical application of intangible cultural heritage digitization. Based on the perspective of cultural ecology, a set of intangible digital application models was proposed, which expanded the digital application of the cultural ecology theory, verified the application of this model in the sustainable development of cultural tourism, and provided reference for the sustainable development of cultural tourism.

• 패션비즈니스
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• 제27권3호
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• pp.50-62
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• 2023

The e-commerce fashion market has experienced a remarkable growth, leading to an overwhelming availability of shared information and numerous choices for users. In light of this, chatbots have emerged as a promising technological solution to enhance personalized services in this context. This study aimed to develop user-product attributes for a chatbot-based personalized fashion recommendation service using big data text mining techniques. To accomplish this, over one million consumer reviews from Coupang, an e-commerce platform, were collected and analyzed using frequency analyses to identify the upper-level attributes of users and products. Attribute terms were then assigned to each user-product attribute, including user body shape (body proportion, BMI), user needs (functional, expressive, aesthetic), user TPO (time, place, occasion), product design elements (fit, color, material, detail), product size (label, measurement), and product care (laundry, maintenance). The classification of user-product attributes was found to be applicable to the knowledge graph of the Conversational Path Reasoning model. A testing environment was established to evaluate the usefulness of attributes based on real e-commerce users and purchased product information. This study is significant in proposing a new research methodology in the field of Fashion Informatics for constructing the knowledge base of a chatbot based on text mining analysis. The proposed research methodology is expected to enhance fashion technology and improve personalized fashion recommendation service and user experience with a chatbot in the e-commerce market.

• 산경연구논집
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• 제10권3호
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• pp.59-72
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• 2019

Purpose - Blockchain technology, which has the characteristics of credibility, security, integrity and decentralization, has brought innovation to internet platforms that mediate peer to peer transactions, as well as changes to the contents distribution services. Blockchain-based copyright distribution platforms can solve problems which have been articulated on prior internet social networks: increased market dominance of platform business because of centralization with no reward to creators who upload on platforms, and lack of fairness, such as unfair profit distribution between the copyright holder and businesses. With this background, the current research confirmed the factors that affect the intention of usage and behaviors, targeting potential users of blockchain-based copyright distribution platforms. Research design, data, and methodology - Centered around the UTAUT2 Model, the research model was designed with 'Perceived Security' added as Construct, and 'Age' and 'Knowledge Level' added as moderating variables. For data, 607 responses were collected by an online survey, and 601 responses were included in the final analysis. We analyzed the research model and sample by using SPSS 23.0 and AMOS 23.0 on the collected responses. Results - First, results of research on whether Constructs make positive effects on Intention of use is: social influence, facilitating conditions, habit, and perceived security had positive effects on intention of use, and performance expectancy, effort expectancy, hedonic motivation, and economic value did not. Second, results of the research on whether facilitating condition, habit, and intention of use made an impact on using behaviors, it was shown that only habit and intention of use made positive effects. Third, in two groups divided by age above or under 40, group effort expectancy, intention of use, habit, and intention of use had controlling effects, and facilitating condition, intention of use, perceived security, and intention of use had effects in both groups. Conclusions - The research shows that no matter how great a blockchain-based platform is, if advantages of blockchain are not proved in various industries and utilized in real life like the internet, blockchain-based distribution systems will develop slowly. Rather than a short-term inducement emphasizing technology, there is a need for a strategic approach that can foster the environment.