• 한국IT서비스학회지
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• 제8권4호
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• pp.151-163
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• 2009

In this paper, we design and develop a personalized advertisement and information services system based on mobile RFID using RFID virtual tag. It is a system to perform the use of the contents information or the commercial transaction on the contents products through internet server connection by using RFID tag information with a mobile according as transmitting immediately to a cell phone after a tag generator derived RFID tag information to be substituted for the contents information being output at present, after being transmitted from a cell phone the information request signal on the contents information being output from video media. This service system provides a mechanism for gathering advertisement information left behind by many clients visiting advertisement sites for analysis of customers property, service model for selecting personalized services, and mechanism for providing them to customers who visited in a advertisement mall joined to the shopping site.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2002년도 춘계학술대회 논문집
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• pp.342-351
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• 2002

A personalized product recommendation is an enabling mechanism to overcome information overload occurred when shopping in an Internet marketplace. Collaborative filtering has been known to be one of the most successful recommendation methods, but its application to e-commerce has exposed well-known limitations such as sparsity and scalability, which would lead to poor recommendations. This paper suggests a personalized recommendation methodology by which we are able to get further effectiveness and quality of recommendations when applied to an Internet shopping mall. The suggested methodology is based on a variety of data mining techniques such as web usage mining, decision tree induction, association rule mining and the product taxonomy. For the evaluation of the methodology, we implement a recommender system using intelligent agent and data warehousing technologies.

• Genomics & Informatics
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• 제18권4호
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• pp.46.1-46.4
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• 2020

We developed the BaSDAS (Barcode-Seq Data Analysis System), a GUI-based pooled knockout screening data analysis system, to facilitate the analysis of pooled knockout screen data easily and effectively by researchers with limited bioinformatics skills. The BaSDAS supports the analysis of various pooled screening libraries, including yeast, human, and mouse libraries, and provides many useful statistical and visualization functions with a user-friendly web interface for convenience. We expect that BaSDAS will be a useful tool for the analysis of genome-wide screening data and will support the development of novel drugs based on functional genomics information.

• 산업경영시스템학회지
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• 제44권4호
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• pp.23-31
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• 2021

Treatment and management of chronic low back pain (CLBP) should be tailored to the patient's individual context. However, there are limited resources available in which to find and manage the causes and mechanisms for each patient. In this study, we designed and developed a personalized context awareness system that uses machine learning techniques to understand the relationship between a patient's lower back pain and the surrounding environment. A pilot study was conducted to verify the context awareness model. The performance of the lower back pain prediction model was successful enough to be practically usable. It was possible to use the information from the model to understand how the variables influence the occurrence of lower back pain.

• 스마트미디어저널
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• 제5권2호
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• pp.42-50
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• 2016

In case of a emergency situation or a natural disaster, a warning notification system is an essential tool to notify at-risk people in advance and provide them useful information to survive the event. Although some systems have been proposed such as emergency alert system using android, SMS, or P2P overlay network, these works mainly focus on a reliable message distribution methods. In this paper, we proposed a novel design and implementation of a personalized warning notification system to help inform not only the at-risk people but also their family and friends about the coming disaster as well as escape plan and survival information. The system consists of three main modules: the user selection module, the knowledge based message generator, and message distribution modules. The user selection module collects the list of people involved in the event and sorts them based on their level of involvement (their location, working position and social relationships). The knowledge based message generator provides each person with a personalized message that is concise and contains only the necessary information for the particular person based on their working position and their involvement in the event. The message distribution module will then find a best path for sending the personalized messages based on trustiness of locations since network failures may exist in a disaster event. Additionally, the system also have a comprehensive database and an interactive web interface for both user and system administrator. For evaluation, the system was implemented and demonstrated successfully with a building on fire scenario.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2006년도 춘계종합학술대회
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• pp.804-806
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• 2006

인터넷상의 정보량이 폭발적으로 증가하면서 웹 활용성 향상을 위한 많은 방법들이 제시되고 있다. 북마크 시스템의 유용성은 북마크에 수록되는 정보의 양이 증가할수록 북마크를 제대로 사용하려면 사용자의 관리가 필요하지만 등록된 북마크가 늘어날수록 관리가 어려워지고 본래의 목적인 즐겨찾기 효과가 떨어진다. 따라서 본 연구에서는 개인화된 북마크 시스템을 제안하였다. 제안된 시스템은 사용자의 웹 탐색 선호도를 반영하여 자동적으로 북마크의 내용을 수정할 수 있게 하였다. 또한 북마크의 내용을 서버상에서 관리하도록 함으로서 장소에 관계없이 북마크의 내용을 접근할 수 있게 하였다.

• 대한지역사회영양학회지
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• 제21권1호
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• pp.25-36
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• 2016

Objectives: The purpose of this study was to investigate effects of nutrition education providing school lunch by personalized daily needed food exchange units using Food Exchange System for adolescent athletes. Methods: The subjects were 60 sports high school students (educated group, 30 vs. noneducated group 30). Nutrition education was provided for 4 weeks (40 min/lesson/week). In addition, personalized school lunch was served for 4 weeks, nutrition education period. The personalized lunch were provided Food Exchange Units according to personalized daily needed energy. The lessons were '5 Major nutrients, functions and foods', 'My daily needed energy and food exchange units by Food Exchange System', 'My meal plan by food exchange units according to my daily needed energy' and 'Smart choice of healthy snacks and eating outs'. After nutrition education, we examined the differences in anthropometric characteristics, nutrition knowledge, dietary attitude and dietary intake between the educated and the non-educated group. Results: We observed improvements in lean body mass in the educated group. With regard to nutrition knowledge, there were improvements in 'Functions of vitamins', 'Functions of minerals', 'Foods of fat', 'Foods of vitamin', and 'Foods of mineral' in the educated group. In relation to dietary attitude, there were improvements in 'Taking a meal with family and friend', 'Taking a meal at ease', 'Taking a meal with kimchi and vegetables', 'Taking a meal with three kinds of side dishes', 'Priority of choosing snacks' and 'Type of snacks' in the educated group. With regard to dietary intakes according to Dietary Reference Intakes for Koreans, there were improvements in intakes levels of fiber, vitamin A, vitamin C, folate, calcium, iron and zinc. The index of nutrition quality, as indicated by nutrition adequacy ratio also improved in the educated group. Conclusions: These results showed that a nutrition education program providing education lessons and personalized school lunch by food exchange units according to daily needed energy showed positive changes in nutrition knowledge, dietary attitude and dietary intake of adolescent athletes. Nutrition education program providing personalized school lunch by Food Exchange Units may improve dietary behaviors and dietary intakes of adolescents.

• 한국마린엔지니어링학회:학술대회논문집
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• 한국마린엔지니어링학회 2005년도 전기학술대회논문집
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• pp.246-250
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• 2005

Recommand Systems are being used by an ever-increasing number of E-Commerce to help customers find products to purchase. Recommend Systems offer a technology that allows personalized recommendations of items of potential interest to users based on information about similarities and dissimilarities among different customers tastes. In this paper, we design and build a Recommend System using the historical customer movie purchase transactions and extracts the knowledge needed to make association recommendations to new customers.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 춘계 학술대회 학술발표 논문집
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• pp.202-205
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• 2003

본 논문은 모바일 멀티 에이전트프레임워크를 이용한 분산환경에서의 개인 디지털 도서관 서비스(PLS) 시스템을 제안하였다. 기존의 에이전트 프레임워크와 차별적으로 모바일 시스템과 분산 처리 시스템을 조합한 시스템을 사용하였으며 멀티 에이전트간 협상 알고리즘과 스케줄링 방법을 개발함으로써 프레임워크가 효율적으로 동작하도록 하였다.

• 인터넷정보학회논문지
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• 제12권2호
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• pp.63-73
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• 2011

일반적으로 기존 검색엔진은 다수 사용자의 동일한 질의에 대하여 일률적으로 같은 검색 결과를 제공하는데, 이는 사용자 개인의 특성을 고려하지 않는 단점을 가진다. 이를 극복하기 위해서 사용자가 가지고 있는 검색 의도를 파악하여 그에 부합하는 결과를 제공하는 개인화 검색이 필요하다. 본 논문에서는 사용자 프로파일 기반 개인화 검색을 위한 시스템을 제안한다. 본 시스템에서는 개인화 검색을 이루기 위해 개념 네트워크 형태의 사용자 프로파일을 구성하며, 이는 사용자가 과거에 질의했던 질의어와 탐색했던 웹문서를 분석하여 자동 생성된다. 그리고 사용자가 웹문서에 대해 태그를 지정한 폭소노미 데이터를 이용하여, 개념 네트워크를 확장함으로써 개념 네트워크의 정확성을 더욱 높일 수 있다. 이 개념 네트워크를 이용하여 사용자가 부여한 질의어를 확장시킬 수 있을 뿐만 아니라, 검색결과의 중첩도를 고려하여 사용자별 검색 결과의 순위를 재산정 함으로써 개인의 특성을 반영한 검색 결과를 제공할 수 있다.