• Journal of Digital Convergence
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• v.12 no.5
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• pp.239-247
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• 2014

Ubiquitous computing environment, as a new paradigm of the digital information era, has been introduced to respond to rapid changes in society and culture. Today, technology research around the world competes for the preoccupancy of the core technology as well as the development of technology for providing context aware system more intelligent, more sophisticated. Research in recent is underway the implementation of intelligent provisioning system using the ontology. Erstwhile provisioning system did not providing a personalized service that provides the service after context aware. Accordingly, there is a need for studies of intelligent context aware provisioning technique considering environments and context necessary to user. In this paper, in order to provide a service that is optimized for the needs of the user, propose an ontology-based intelligent provisioning service method taking into account the usage patterns and the context of the user. The proposed system is recognized the status of the user and demonstrated a process of reasoning techniques for fit service. And it is possible to the expansion of intelligence.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.1
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• pp.53-59
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• 2008

Recently, vision-based hand gesture recognition techniques have been developed for assisting elderly and disabled people to control home appliances. Frequently occurred problems which lower the hand gesture recognition rate are due to the inter-person variation and intra-person variation. The recognition difficulty caused by inter-person variation can be handled by using user dependent model and model selection technique. And the recognition difficulty caused by intra-person variation can be handled by using fuzzy logic. In this paper, we propose multivariate fuzzy decision tree learning and classification method for a hand motion recognition system for multiple users. When a user starts to use the system, the most appropriate recognition model is selected and used for the user.

• Journal of the Korea Society of Computer and Information
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• v.15 no.8
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• pp.51-58
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• 2010

Programming education needs learning which is adjusted individual learners' level of their learning abilities. Recommendation system is one way of implementing personalized service. In this research, we propose recommendation method which learning items are recommended for individual learners' learning in web-based programming education environment by. Our proposed system for leveled programming education provides appropriate programming problems for a certain learner in his learning level and learning scope employing collaborative filtering method using learners' profile of their level and correlation profile between learning topics. As a result, it resolves a problem that providing appropriate programming problems in learner's level, and we get a result that improving leaner's programming ability. Furthermore, when we compared our proposed method and original collaborative filtering method, our proposed method provides the ways to solve the scalability which is one of the limitations in recommendation systems by improving recommendation performance and reducing analysis time.

• Journal of Intelligence and Information Systems
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• v.8 no.2
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• pp.139-157
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• 2002

The rapid growth of e-commerce has made both companies and customers face a new situation. Whereas companies have become to be harder to survive due to more and more competitions, the opportunity for customers to choose among more and more products has increased. So, the recommender systems that recommend suitable products to the customer have an important position in E-commerce. This research introduces collaborative filtering based recommender system which helps customers find the products they would like to purchase by producing a list of top-N recommended products. The suggested methodology is based on decision tree, product taxonomy, and association rule mining. Decision tree is used to select target customers, who have high possibility of purchasing recommended products. We applied the recommender system to a Korean department store. The methodology is evaluated with the analysis of a real department store case and is compared with other methodologies.

• Journal of the Korea Society of Computer and Information
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• v.15 no.1
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• pp.23-30
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• 2010

With the advancement of information technology and increasing diversity in medical field, there are ongoing researches on ontology based intelligent medical system in Oriental medicine field. Intelligent diagnostic support system uses ontology to give a structure to complex medical knowledge and personal medical history so that we can make diagnosis more scientific, and provide better medical services. In this paper, we suggest an ontology that structuralize three knowledge types basic medical data, clinical trial data, and personal health information, which can be used as important information for individually tailored diagnosis. Especially in Oriental medicine diagnosis, both patient's symptoms of illness and physical constitution play a great role; it can lead to distinct diagnosis depending on their combination. Thus, it is much needed to have a diagnostic support system that uses personal health history and physical constitution along with basic medical data and clinical trial data in the field. In this paper, we implemented an Oriental medicine diagnostic support system that provides individualized diagnosis service to each patient by building an ontology on Oriental medicine focused on individual physical constitution and disease information.

• The Journal of Korean Institute of Information Technology
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• v.16 no.12
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• pp.115-125
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• 2018

The one of goals of the 2015 revised national curriculum is the successful application of achievement standards-based assessment, which assesses both the results and process of learning, ensuring that all students have achieved the educational objectives, to schools. Therefore, an achievement standards and evaluation support system is required to manage a whole process of teaching and learning based on achievement standards and provide the personalized assessment feedback to students to improve their achievement levels. In this paper, we perform a design of integrated data model and system of teaching plan, subject content, assessment plan, assessment result, and feedback data is required based on an achievement standards repository. In addition, we create a student's dashboard webpage, which representing different types of achievement of the student, and perform the comparative analysis of data models to evaluate the quality of the proposed model.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06a
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• pp.224-226
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• 2012

최근 스마트폰의 대중화와 더불어 스마트폰 애플리케이션의 공급과 수요 또한 활성화 되고 있다. 이에 스마트폰의 애플리케이션 시장 또한 활성화 되었다. 하지만 기하급수적으로 증가한 애플리케이션에 사용자가 자신에게 적합한 애플리케이션을 선택하기가 용이하지 않다. 이에 본 논문에서는 사용자 개인 정보와 감정을 이용한 애플리케이션 추천 시스템을 제안한다. 사용자 정보와 감정을 k-means 알고리즘을 이용하여 군집화를 시켜주었으며 사용자가 평가한 애플리케이션에 대한 만족도를 이용하여 유사도를 검출 및 추천하기 위하여 피어슨 상관계수와 교차추천을 이용하였다. 또한 협업 필터링의 신규 사용자에 대한 초기 평가치 부재에 의한 콜드 스타트(cold-start) 문제를 해결하기 위해 신규 사용자의 개인정보와 감성정보를 활용하여 기존 사용자와의 유사도를 비교한다. 이웃사용자를 추출하고 이웃사용자로부터 추천을 받는다. 즉, 추천시스템 데이터베이스 내의 정보가 충분한 사용자에게는 협업필터링을 그렇지 않은 신규 사용자에게는 협업필터링 대신 제시한 방법을 적용하는 하이브리드 추천 방법을 제안하였다.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.1325-1330
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• 2006

유비쿼터스 켬퓨팅 환경에서는 디지털 멀티미디어 컨텐츠를 사용자가 언제 어디서나 컨텐츠를 소비할 수 있도록 다양한 환경에 맞게 능동적으로 적응변환 시켜주는 기술이 필요하다. 본 논문에서는 유비쿼터스 컴퓨팅 환경이 가능하도록 구성된 가정에서 여러 종류의 디스플레이에 색각인 사용자에게 필요한 서비스와 정보를 제공해 주는 시스템을 제안한다. 단순히 세션 정보를 이용하여서 다양한 위치의 디스플레이에 정보를 제공해주는 기능에 '사용자의 취향과 색각 유무에 따라 변형되어진 정보' 를 제공해주게 되는 시스템을 설계하였다. 제안한 시스템은 크게 사람의 위치 정보를 인지하는 센서 입력부, LCD 모니터나 TV 브라운관과 같이 영상 정보를 출력해 줄 수 있는 출력부, 사용자에 대한 세션 정보 관리와 스트리밍 서비스를 제공해주는 서버 부분으로 구성되어 있다. 사용자의 위치에 대한 정보는 유비쿼터스 컴퓨팅 환경으로 구성된 테스트 베드 내부 센서를 통해 각 디스플레이의 해당 서비스 지역에 사용자가 들어가게 되면 사용자를 인지하도록 하였다. 제공되는 영상은 인지된 사용자 정보를 통해, 색각자인 경우, 색각자를 위해서 변환 되어진 영상을 사용하며, 또한 미리 설정되어진 사용자의 취향에 관련되어진 장르로 구성되어진 메뉴를 통해서 제공된다. 제안한 시스템은 가정에서 유비쿼터스 컴퓨팅이 가능하도록 한 구성한 Active Home상에 구현하였다. Active Home에서는 서버에서부터 실시간으로 사용자의 위치 정보를 제공 받으며, 사용자의 색각 유무에 따라 색각자를 위해 변환된 영상 또는 원본 영상을 보여준다. Active Home에서의 실험을 통해, 제안한 시스템은 유비쿼터스 컴퓨터 환경에서 사용자의 취향에 따라 자연스러운 인터렉션과 세션 정보를 Seamless하게 제공해주는 도구로 사용 가능함을 보였다.

• ETRI Journal
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• v.37 no.2
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• pp.233-240
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• 2015

The novelty of this study resides in a 6"-wafer-level microfabrication protocol for a microdevice with a fluidic control system for the separation of circulating tumor cells (CTCs) from human whole blood cells. The microdevice utilizes a lateral magnetophoresis method based on immunomagnetic nanobeads with anti-epithelial cell adhesive molecule antibodies that selectively bind to epithelial cancer cells. The device consists of a top polydimethylsiloxane substrate for microfluidic control and a bottom substrate for lateral magnetophoretic force generation with embedded v-shaped soft magnetic microwires. The microdevice can isolate about 93% of the spiked cancer cells (MCF-7, a breast cancer cell line) at a flow rate of 40/100 mL/min with respect to a whole human blood/buffer solution. For all isolation, it takes only 10 min to process 400 mL of whole human blood. The fabrication method is sufficiently simple and easy, allowing the microdevice to be a mass-producible clinical tool for cancer diagnosis, prognosis, and personalized medicine.

• The Journal of Korean Association of Computer Education
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• v.6 no.3
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• pp.27-36
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• 2003

Rccommender systems are being used by an ever-increasing number of E-Commerce sites to help consumers find products to purchase. Recommender Systems offer a technology that allows personalized recommendations of items of potential interest to users based on information about similarities and dissimilarities among different user' tastes. However, despite enormous interest in recommender systems, both the number of available published techniques and information about their performance are limited. In this paper. we design and implement an M-Commerce recommendation systems using the past buying behavior of the consumer, consumer information, and association rule mining.