• Science of Emotion and Sensibility
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• v.3 no.1
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• pp.33-40
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• 2000

감성공학과제에서는 연구보고서, 문헌, 지표, 생체데이터, 감성유발자극 등 많은 자료가 산출되고 있지만 단위연구과제에서 분산, 관리되고 있어 연구자원의 공유가 쉽지 않은 상황이다. 본 연구는 감성공학연구원과 감성응용제품 개발기업으로 사용자를 분류하고 요구분석, 설계 구축 단계를 거쳐 감성데이터베이스를 제작하여 연구자원을 공유할 수 있는 기반을 구축하였다. 데이터베이스 모델에는 연구보고서로부터 추출된 감성지표와 더불어 실험과 관련하여 독립변수, 종속변수, 실험자극, 생체데이터 등에 포함되었다. 이러한 데이터모델을 기초로 감성공학 데이터가 체계적으로 축적되면 사용자 웹에서 원하는 자료를 복합 검색할 수 있게 된다. 감성공학시스템은 사용하기 쉽도록 메뉴를 구성하였고 현재 한국표준과학연구원에서 운용하고 있다.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10c
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• pp.346-348
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• 2004

현재, 인터넷이 정보화 사회의 핵심 인프라로 자리를 매김에 따라 사용자가 폭발적으로 증가하게 되었고, 이로 인한 주소 부족 현상이 심화되고 있다. 한편, 국방정보통신망에서도 통신대상의 증가 및 서비스 품질보장, 전술통신체계의 이동성 및 생존성 보장을 요구하고 있다. 이러한 변화는 주소부족 문제 해결, 이동성, 보안성, QoS 보장 서비스 등 다양한 기능 지원이 가능한 IPv6의 도입이 요구된다. 이에 따라 국방정보통신망에서의 IPv6 도입 전략에 대한 연구가 진행되었다. 이미 시작된 IPv6 도입 전략과 연계하여 본 논문에서는 우리 군에 IPv6로의 전이를 효과적으로 지원하기 위해 웹 기반 IPv6 전이 지원 시스템을 설계하고자 한다. 그리고 설계된 체계를 활용하여 국방정보통신망 시스템 자원을 기반으로 IPv6 전이 지원 절차에 따라 점검 자원 DB를 구축한다. 웹 상에서 IPv6로의 전이 요청 부대 실무자가 전산자원에 대한 전이절차 정보 및 예산산출 정보를 지원 받음으로써 IPv6로의 전이를 체계적이고 신속하게 지원하게 된다.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.1445-1448
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• 2004

한국과학기술정보연구원 슈퍼컴퓨팅센터에서는 각종 시스템관련 통계정보를 각 시스템 관리자들이 작성한 후에 이를 취합하여 "월간 통계 보고서"로 문서파일로 작성 배포하고 있다. 시스템 로그의 DB 저장을 통한 편리한 로그 관리 및 기존 통계 작성 방식의 비능률적인 작업 반복 제거를 통한 업무 효율성 제고하기 웹 기반 자원활용 통계 시스템을 구현하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.531-534
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• 2009

본 연구에서는 공학교육인증에서 구성원의 의견이나 요구사항을 효과적으로 파악하기 위한 설문조사 수행 절차와 웹 기반 설문시스템의 기능 및 시스템 아키텍처를 제안하고 제안된 프레임워크에 따라 웹 기반 설문시스템을 개발한 방법을 소개한다. 본 설문시스템은 설문문항을 문항은행식으로 설문대상자별, 설문 영역별로 DB화하여 계층적으로 관리함으로써 체계적인 설문문항의 관리는 물론 웹 기반 설문지 작성의 노력을 줄일 수 있다. 그리고 웹상에서 전자메일을 통하여 설문조사를 수행하여 비용, 시간, 에러 발생을 줄일 수 있다는 면에서 큰 장점을 갖고 있으며, 설문조사 결과를 다양한 방식으로 분석하여 도식적 표현을 통한 보고서 작성 기능을 제공한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.11a
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• pp.264-267
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• 2007

인터넷 사이트가 증가하면서 서비스 제공자는 사용자의 요구나 행동패턴을 파악하기 위하여 웹 마이닝 기법을 활용한다. 하지만 서버에 저장된 웹 로그 정보를 활용한 마이닝 기법은 전처리 과정에 많은 노력이 필요하고 사용자의 행동패턴이나 요구를 정확하게 파악하는데 한계가 있다. 이를 극복하기 위해 본 논문에서는 사용자 생성 로그정보를 이용한 방법을 제안한다. 제안 방법은 기존 서버에 저장되는 로그파일이 아닌 사용자의 행동에 의해 웹 페이지가 로딩될 때 마다 웹 마이닝에 필요한 정보를 수집하여 DB 에 저장하는 방법을 사용하였다. 이때 기존 로그파일에 로딩시간과 조회시간, 파라메타 정보를 추가하여 보다 사실적으로 사용자의 행동패턴을 파악하고자 하였다. 이렇게 생성된 로그파일을 기 등록된 메뉴정보, 쿼리정보와 조합하면 웹 마이닝에 필수적인 데이터정제, 사용자식별, 세션식별, 트랜잭션 식별등 전처리 과정의 효율성을 향상시키고 사용자의 행동패턴파악을 위한 정보 수집을 용이하게 해준다.

• Journal of Korea Society of Industrial Information Systems
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• v.7 no.5
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• pp.175-182
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• 2002

The email system is one of the most popular internet applications used to transmit and exchange personal information. However, the pattern of existing email system is fixed, and the system cannot be expanded or re-used. This thesis has proposed the system which can provide the users with better e-mail data which is flexible, re-usable, and expandable XML data on the web-mail. The process of change is as follows: First, make the XML data to have a tree structure using DOM API and then bring the received messages of the users with the CDONTS. Last, transform the received messages into the element and element value. When the e-mail data is transformed t the XML data, 'the data' and 'the presentation' can be distinguished, which enables the users to see messages according to each individual's unique need. With this system, the user can not only convert data to XML, but also can combine the data segments to a form of letter box in order to manage data conveniently and search the data.

• Journal of The Korean Association of Information Education
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• v.8 no.2
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• pp.155-164
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• 2004

In the field of number and operation of mathematics, a learner's learning deficit in one year can disturb or obstruct his or her learning in the following year, which is an obvious characteristic in math education. But the problem doesn't stop here. It may increase poor learning in the related math field or, in a serious case, cause mathematical learning incompetence. In the other hand, a teacher must guide a class of about 40 students and take charge of overburdensome routine; it's really impossible for him or her to secure individual teaching time for poor learners and to give lessons considering their individual poor learning elements. In order to solve these problems, this study has found out some poor learning elements from poor learners in teaching mathematical number and operation, offered learning fit for them, and allowed them to approach a learning system regardless of time and space. And it has embodied a web-based learning system for operation field underachiever in elementary school, applied it to the scene of education, and analyzed the results so that a teacher may manage their learning results by DB and guide poor learners systematically. As a consequence, the study could reduce a teacher's teaching overburden and at the same time, raise the learning accomplishments of poor learners.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.709-713
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• 2009

Recently, a lot of research that applies data acquired from devices such as cameras and RFIDs to context aware services is being performed in the field on Life-Log and the sensor network. A variety of analytical techniques has been proposed to recognize various information from the raw data because video and audio data include a larger volume of information than other sensor data. However, manually watching a huge amount of media data again has been necessary to create supervised data for the update of a class or the addition of a new class because these techniques generally use supervised learning. Therefore, the problem was that applications were able to use only recognition function based on fixed supervised data in most cases. Then, we proposed a method of acquiring supervised data from a video sharing site where users give comments on any video scene because those sites are remarkably popular and, therefore, many comments are generated. In the first step of this method, words with a high utility value are extracted by filtering the comment about the video. Second, the set of feature data in the time series is calculated by applying functions, which extract various feature data, to media data. Finally, our learning system calculates the correlation coefficient by using the above-mentioned two kinds of data, and the correlation coefficient is stored in the DB of the system. Various other applications contain a recognition function that is used to generate collective intelligence based on Web comments, by applying this correlation coefficient to new media data. In addition, flexible recognition that adjusts to a new object becomes possible by regularly acquiring and learning both media data and comments from a video sharing site while reducing work by manual operation. As a result, recognition of not only the name of the seen object but also indirect information, e.g. the impression or the action toward the object, was enabled.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.3
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• pp.176-185
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• 2018

With the recent development of manufacturing technology and the diversification of consumer needs, not only the process and quality control of production have become more complicated but also the kinds of information that manufacturing facilities provide the user about process have been diversified. Therefore the importance of big data analysis also has been raised. However, most small and medium enterprises (SMEs) lack the systematic infrastructure of big data management and analysis. In particular, due to the nature of domestic manufacturing companies that rely on foreign manufacturers for most of their manufacturing facilities, the need for their own data analysis and manufacturing support applications is increasing and research has been conducted in Korea. This study proposes integrated analysis platform for process and quality analysis, considering manufacturing big data database (DB) and data characteristics. The platform is implemented in two versions, Web and C/S, to enhance accessibility which perform template based quality analysis and real-time monitoring. The user can upload data from their local PC or DB and run analysis by combining single analysis module in template in a way they want since the platform is not optimized for a particular manufacturing process. Also Java and R are used as the development language for ease of system supplementation. It is expected that the platform will be available at a low price and evolve the ability of quality analysis in SMEs.

• Journal of the Korea Institute of Building Construction
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• v.9 no.1
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• pp.95-101
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• 2009

Although the concept of RTLS is very unfamiliar to construction industry, recently it is popular in other industry, such as logistics, ship building, mobile telecommunication based on state-of-the-art information technology. Effective resource management using cutting-edge information technology makes it possible to succeed a project with saving the time and cost. And effective information management in construction project can be achieved by the new technologies such as RFID, WEB-based internet, DB technology, real-time monitoring technology, etc. This paper suggest the characteristics and applicability of the international standard electric waves to be used for the real-time locating system (RTLS) on the viewpoint of transmission loss in construction field to monitor and manage resources of construction project effectively The two types of electric waves based on the international standard is to be suggested after surveying the as-is technology in the related industries and then is analyzed to find out the characteristics of those by the concept of the electric wave transition loss in the several construction situations. Two main electric waves, the 2.4GHz and the 433MHz technologies as the international standard is researched on the applicability to the indoor environment of construction site.