• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.13 no.2
• /
• pp.243-263
• /
• 2002

The Purpose of this study is to consider the characters of reading theory in the age of Yi dynasty. Accordingly It is analyzed to the reading theory in work materials of the intellects at the age of Yi dynasty that the purpose, process and methods of reading. We have to succeed traditional reading mind that reading(learning) is life namely. Moreover We have to enlighten as to proper reading theory today. Especially we have to develop a good book lists following a grade of development what grown up spiritual mature of life.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.47 no.3
• /
• pp.42-50
• /
• 2010

It is necessary to implementation of system contain intelligent decision making algorithm considering marine feature because existing vessel USN system is simply monitoring obtained data from vessel USN. In this paper, we designed inference system using case based reasoning method and implemented knowledge base that case for fire and demage of digital marine vessel. We used K-Nearest Neighbor algorithm for recommend best similar case and input 3.000 EA by case for fire and demage context case base. As a result, we obtained about 82.5% average accuracy for fire case and about 80.1% average accuracy for demage case. We implemented digital marine vessel monitoring system using inference result.

• Research in Plant Disease
• /
• v.12 no.2
• /
• pp.103-107
• /
• 2006

An array of surveys was designed to improve current Pesticide Management Law and Acts by investigating farmers' usage of pesticides and by assessing applicability of Plant Protection Certificate to register local pesticide markets or related businesses. This study indicates that most farmers choose pesticide recommended by local pesticide market dealers. This survey also indicates serious misuse or overuse of pesticides by farmers probably due to inappropriate recommendations. To guarantee rational use of pesticides by the end users, most experts in the plant protection areas have realized the importance of the Certificate as a license to register the local pesticide markets. To the end, current Pesticide Management Laws and Acts need to be revised to ask pesticide-dealing workers to take the Plant Protection Certificate.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2019.10a
• /
• pp.525-526
• /
• 2019

본 논문에서는 고객추천지수(NPS : Net Promoter Score)를 이용하여 2019년도 이용 고객의 서비스 만족 및 품질에 대하여 모니터링하고 기관의 고객만족 개선 활동에 대한 고객의 의견을 분석하기 위함이다. 한국과학기술정보연구원의 국가과학기술정보통합서비스(NDSL : National Digital Science Library)는 산학연 연구자들에게 고품질 정보를 제공하여 국가 과학기술 혁신에 기여하고자 개발된 과학기술정보 서비스 플랫폼으로, 논문·특허·보고서·동향·저널/프로시딩·연구자·연구기관 등 약 1억건 이상의 콘텐츠에 대한 검색 및 콘텐츠 유형별 전문검색 서비스를 제공합니다. NDSL은 과학기술 연구자를 위한 고품질 정보서비스를 지향합니다. 또한, 쉽게보는 검색결과, 오픈서비스 등을 제공함으로써 과학지식의 발견과 확장을 지원하고 있습니다. 이를 위해 서비스를 경험한 500여 명의 의사결정자를 대상으로 국가과학기술정보통합서비스에 대한 고객충성도를 분석하였다. 이와 같은 연구결과는 인터넷 등 정보의 발달로 고객의 긍정적 또는 부정적인 구전이 급속도로 노출되는 환경에서 고객의 만족도를 관리함으로써 핵심고객을 확보하는데 사전 예측자료로 활용될 수 있다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2013.11a
• /
• pp.532-534
• /
• 2013

스마트폰 앱은 다양한 목적을 가지고 개발되어 사용자에게 지식의 정보 제공뿐만 아니라 생활의 유용한 정보도 함께 제공해주고 있다. 본 논문에서는 스마트 기기의 자이로스코프 센서(Gyroscope Sensor), 마이크(Mike), 알람(Alarm) 등을 활용하여 수면건강 관리 앱을 설계 및 구현하였다. 사용자의 수면 데이터를 수집하여, 추천 수면시간을 제공 받고, 수면장애 여부 등을 판단할 수 있을 것으로 예상된다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2020.05a
• /
• pp.631-632
• /
• 2020

본 논문에서는 고객추천지수(NPS : Net Promoter Score)를 이용하여 2019년도 이용 고객의 서비스 만족 및 품질에 대하여 모니터링하고 기관의 고객만족 개선 활동에 대한 고객의 의견을 분석하기 위함이다. 한국과학기술정보연구원의 한민족과학기술자네트워크(KOSEN : The Global Network of Korean Scientists & Engineers)는 전 세계 한인 과학기술자들을 하나로 연결하는 네트워크 서비스로 2019년 현재 70여개국 14만여 회원들로 이루어진 거대한 네트워크로 성장하였습니다. 1999년 이래 과학기술부, 교육과학기술부, 미래창조과학부, 과학기술정보통신부 지원 사업으로 한국과학기술정보연구원에서 운영해오고 있습니다. 네트워크를 통한 한인 과학기술자들의 지식 공유가 주목적이며, 연구자들을 위한 다양한 서비스를 무상으로 제공하고 있습니다. 이를 위해 서비스를 경험한 262여 명의 의사결정자를 대상으로 한민족과학기술자네트워크에 대한 고객충성도를 분석하였다. 이와 같은 연구결과는 인터넷 등 정보의 발달로 고객의 긍정적 또는 부정적인 구전이 급속도로 노출되는 환경에서 고객의 만족도를 관리함으로써 핵심고객을 확보하는데 사전 예측자료로 활용될 수 있다.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.17 no.2
• /
• pp.244-251
• /
• 2007

Intention reading technique is essential to provide personalized services toward more convenient and human-friendly services in complex ubiquitous environment such as a smart home. If a system has knowledge about an user's intention of his/her behavioral pattern, the system can provide mote qualified and satisfactory services automatically in advance to the user's explicit command. In this sense, learning capability is considered as a key function for the intention reading technique in view of knowledge discovery. In this paper, ore introduce a personalized media control method for a possible application iii a smart home. Note that data pattern such as human behavior contains lots of inconsistent data due to limitation of feature extraction and insufficiently available features, where separable data groups are intermingled with inseparable data groups. To deal with such a data pattern, we introduce an effective engineering approach with the combination of fuzzy logic and probabilistic reasoning. The proposed learning system, which is based on IFCS (Iterative Fuzzy Clustering with Supervision) algorithm, extract probabilistic fuzzy rules effectively from the given numerical training data pattern. Furthermore, an extended architectural design methodology of the learning system incorporating with the IFCS algorithm are introduced. Finally, experimental results of the media contents recommendation system are given to show the effectiveness of the proposed system.

• Journal of KIISE:Databases
• /
• v.37 no.6
• /
• pp.343-350
• /
• 2010

We can get answers we want to know via questioning in Knowledge Search Service (KSS) based on Q&A Community. However, it is getting more difficult to find credible documents in enormous documents, since many anonymous users regardless of credibility are participate in answering on the question. In previous works in KSS, researchers evaluated the quality of documents based on textual information, e.g. recommendation count, click count and non-textual information, e.g. answer length, attached data, conjunction count. Then, the evaluation results are used for enhancing search performance. However, the non-textual information has a problem that it is difficult to get enough information by users in the early stage of Q&A. The textual information also has a limitation for evaluating quality because of judgement by partial factors such as answer length, conjunction counts. In this paper, we propose the QualityRank algorithm to improve the problem by textual and non-textual information. This algorithm ranks the relevant and credible answers by considering textual/non-textual information and user centrality based on Social Network Analysis(SNA). Based on experimental validation we can confirm that the results by our algorithm is improved than those of textual/non-textual in terms of ranking performance.

• Journal of Software Engineering Society
• /
• v.23 no.4
• /
• pp.151-163
• /
• 2010

In the defense software domain where large-scale software products in various application areas need to be built, reusing software is regarded as one of the important practices to build software products efficiently and economically. There have been many efforts to apply various methods to support software reuse in the defense software domain. However, developers in the defense software domain still experience many difficulties and face obstacles in reusing software assets. In this paper, we analyze practical problems of software reuse in the defense software domain, and define core requirements to solve those problems. To meet these requirements, we are currently developing the Component Grid system, a reuse-support system that provides a developer-centric software reuse environment. We have designed an architecture of Component Grid, and defined essential elements of the architecture. We have also developed the core approaches for developing the Component Grid system: a semantic-tagging-based requirement tracing method, a reuse-knowledge representation model, a social-network-based asset search method, a web-based asset management environment, and a wiki-based collaborative and participative knowledge construction and refinement method. We expect that the Component Grid system will contribute to increase the reusability of software assets in the defense software domain by providing the environment that supports transparent and efficient sharing and reuse of software assets.

• Knowledge Management Research
• /
• v.24 no.1
• /
• pp.147-172
• /
• 2023

This study aims to review the competitiveness of 'TVING', a Korean OTT player in Korean market. For this, this study extracts core business resources of TVING focusing on resource-based theory, and analyzes their competitiveness under VRIO framework. TVING has 4 tangible and intangible resources respectively and 1 human resource. Tangible resources of TVING are technology(recommendation, compression), content(original, exclusive, discriminative non-exclusive), production studio, and paid-subscribers. Intangible resources are content planing capability, distribution network(local, global), marketing promotion·PR, sales), brand preference. And human resource of TVING creates IP professionalism of the company. As a result of VRIO analysis, discriminative non-exclusive content, production studios, and domestic service channels are the most powerful resources of TVING to 'sustain competitive advantage'. Technology, original content, planning capability and IT professionalism bring 'temporary competitive advantage', while exclusive content, the number of paid-subscribers, global service network, and promotion capabilities are not core resources with staying in competitive rank stages. By the way, TVING has potential users for sales of KT and LGU+ thanks to partnership and M&A, but this is not effectively used at the organization level yet. The meaning of this study can be found in that this evaluated competitiveness by each resource of TVING and arranged its implications.