• Informatization Policy
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• v.22 no.3
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• pp.3-15
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• 2015

This study aims to examine the recent trend of domestic researches on the Internet of Things(IoT) which has drawn a lot of attention in the field of ICT. This meta-analysis analyzes 101 studies published in academic journals from 2010, focusing on research topics, methods and the fields of study. The results show that the research topics of most used studies were related to the technological and industrial issues, and especially in the technical field, the major topic was suggesting new IoT technology. The most research method was testing research followed by the literature review. Even though engineers are holding the mainstream of the IoT technology, some experts in the field of social science release their articles nowadays. These results indicate that the IoT has a great ripple effect both technologically and socioculturally, and researches need to be vitalized in the fields of industry, service, policy and institution as well as technological fields. In addition, the research for the future should extend methodological diversity and take more convergence approaches in a variety of fields.

• Journal of KIISE:Computing Practices and Letters
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• v.10 no.3
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• pp.282-291
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• 2004

There has been many researches in TopicMap and RDF which are approach to handle data efficiently with metadata. However, No researches has been performed to service and implement except for presentation and description. In this paper, We suggest the caching mechanism to support an efficient access of knowledgemap and practical knowledgemap service with implementation of TopicMap system. First, We propose a method to navigate Knowledgemap efficiently that includes advantage of former methods. Then, To transmit TopicMap efficiently, We suggest caching mechanism for knowledgemap. This method is that user will be able to navigate knowledgemap efficiently in the viewpoint of human, not application. Therefor the mechanism doesn't cash topics by logical or physical locality but clustering by information and characteristic value of TopicMap. Lastly, we suggest replace mechanism by using graph structure of TopicMap for efficiency of transmission.

• Proceedings of the Korea Contents Association Conference
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• 2005.11a
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• pp.442-445
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• 2005

It constructs a database generally and service it does, to use a commercial business DBMS that manages information and to use a retrieval system that supports a search, it adopts the gearing method of the DBMS and information retrieval system. But like this method is inconvenient must operate the DBMS and information retrieval system with duplication to be, there is a weak point where the data management and processing become accomplished with duplication. It presents the DB construction and information search and the management model of the KRISTAL-2002 information retrieval and management system base for the scientific and technical information data management and processing from the dissertation which it sees.

• Journal of the Korea Society of Computer and Information
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• v.14 no.9
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• pp.205-210
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• 2009

This paper proposes an ontology-based context aware system model for the purpose of storing and managing agricultural products using ubiquitous sensors to share and distribute information. In these days, according to penetrating ubiquitous technologies into our way of life, the importance of information is increasing gradually. The importance of ontology in a domain is getting as well. Therefore, this paper designs and build an ontology-based agricultural products warehouse model using context aware state information obtained by using wireless sensors. Also, it shows the result described by graphical ontology results to share common understanding on the structure of context information among users, devices and services to enable semantic interoperability owing to the information of the context aware state of the warehouse.

• Journal of Broadcast Engineering
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• v.24 no.4
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• pp.553-563
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• 2019

As the number of videos uploaded on live streaming platforms rapidly increases, the demand for providing highlight videos is increasing to promote viewer experiences. In this paper, we present novel methods for predicting highlights using chat logs and audio data in videos. The proposed models employ bi-directional LSTMs to understand the contextual flow of a video. We also propose to use the features over various time-intervals to understand the mid-to-long term flows. The proposed Our methods are demonstrated on e-Sports and baseball videos collected from personal broadcasting platforms such as Twitch and Kakao TV. The results show that the information from multiple time-intervals is useful in predicting video highlights.

• The Journal of the Korea Contents Association
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• v.22 no.7
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• pp.1-9
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• 2022

Today, artificial intelligence (AI) has emerged as a key driver of national competitiveness, but it is also causing unexpected side effects in society. This study intends to examine major social issues by collecting papers on AI targeting KCI journals in the field of social science. Therefore, we conducted keyword analysis of papers from 2016 to 2020. As a result of the analysis, the keywords for 'robot' and 'education' appeared the most, and the top six clusters (issues) were derived through the keyword network. The main issues are as follows: the background and/or basic concept of AI, AI education, side effects of AI, legal issues of AI-based creations, intention to use AI products/services, and AI ethics. The results of this study can be used to expand the discussion on the social aspects of AI and to find policy directions at the national level.

• Journal of radiological science and technology
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• v.28 no.1
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• pp.19-24
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• 2005

The purpose of this study was to design and implement a useful annotation-based Radiological image retrieval system to accurately determine on education and image information for Radiological technologists. For better retrieval performance based on large image databases, we presented an indexing technique that integrated $B^+-tree$ proposed by Bayer for indexing simple attributes and inverted file structure for text medical keywords acquired from additional description information about Radiological images. In our results, we implemented proposed retrieval system with Delphi under Windows XP environment. End users, Radiological technologists, are able to store simple attributes information such as doctor name, operator name, body parts, disease and so on, additional text-based description information, and Radiological image itself as well as to retrieve wanted results by using simple attributes and text keywords from large image databases by graphic user interface. Consequently proposed system can be used for effective clinical decision on Radiological image, reduction of education time by organizing the knowledge, and well organized education in the clinical fields. In addition, It can be expected to develop as decision support system by constructing web-based integrated imaging system included general image and special contrast image for the future.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06c
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• pp.293-298
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• 2007

연구자의 R&D 전주기 과정을 지원하기 위해 KISTI에서 2006년 개발된 OntoFrame$^{(R)}$은 과학기술 온톨로지와 DBMS 기반 추론 시스템을 적용하여 추론 서비스를 제공하였다. 2007년 개발중인 OntoFrame$^{(R)}$의 추론 시스템은 대량의 인스턴스를 대상으로 빠른 추론 성능을 제공하기 위해서 저장 구조 변경 및 추론 프로세스 변경을 통해 추론 시스템의 성능을 개선하는데 중점을 두고 있다. 본 연구에서는 추론 시스템의 개선을 위해서 RDF 트리플의 데이터 구조 및 테이블 구조 변경, EMPV(Expanded Multiple Properties View) 개발 및 도입, 추론 서비스와 추론 시스템의 프로세스 변경, 저장 구조 관리기의 개발 연구를 수행하였다. 데이터 구조 및 테이블 구조 변경을 통해서 저장 공간의 오버헤드를 개선하였고, EMPV의 도입을 통해서 트리플 저장 구조의 비효율적인 자료 접근 방식을 개선하였으며, 프로세스 개선을 통해 추론에 소용되는 시간을 단축하였다. 또한 관리기 도입을 통해서 사용자 편의성 및 추론 시스템의 관리 기능을 제공하였다.

• KIISE Transactions on Computing Practices
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• v.21 no.2
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• pp.144-147
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• 2015

Question Answering (QA) services can provide exact answers to user questions written in natural language form. This research focuses on how to build a QA system for a specific domain area. Online and offline QA system architecture of targeted domain such as domain detection, question analysis, reasoning, information retrieval, filtering, answer extraction, re-ranking, and answer generation, as well as data preparation are presented herein. Test results with an official Frequently Asked Question (FAQ) set showed 68% accuracy of the top 1 and 77% accuracy of the top 5. The contribution of each part such as question analysis system, document search engine, knowledge graph engine and re-ranking module for achieving the final answer are also presented.

• Journal of KIISE:Computing Practices and Letters
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• v.5 no.3
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• pp.343-350
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• 1999

무선 ATM에서 단말의 이동성을 지원하기 위해서는 핸드오버 기법과 이에 따른 경로 재설정 및 자원재할당, 그리고 서비스 품질(Quality of Service : QoS) 및 트래픽 제어 기술의 구현이 필요하다. 이 문제를 해결하기 위해서 본 논문에서는 무선 ATM기능을 ATM망의 한요소로 보고 기존 ATM 스위치의 Q.2931 프로토콜을 별도의 수정없이 그대로수용하면서 ATM 스위치에 단말의 이동성을 지원하는 별도의 이동성 지원 서버를 두는 방안을 제시하고 구현하였다. 본 논문에서 구현한 이동성 지원 서버는 단말의 이동성 자원을 성공적으로 수행하면서 클러스터 단위로 단말의 이동성 서비스를 지원할 수 있음을 보였다.