• Journal of Internet of Things and Convergence
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• v.5 no.2
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• pp.21-26
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• 2019

Wisdom contents is made by an ordinary person and contains life tips helpful in general. As the existing copyright management systems are designed for the corporate or professional authors, it's not easy to use and requires high cost for the ordinary person to get the copyright. Blockchain based system can notarize the block of transactions without help of trustful third party such as existing copyright protection center. Thus, blockchain based copyright protection model is needed to protect the ordinary author's copyright. In this study, we propose the smart contract based copyright protection model which run on the blockchain network. The proposed model consists of smart contract creation, contents purchase and profit sharing stages. The digital signature scheme is used to get the contract agreed by the seller and the author. The smart contract stores the author information, contents information and the percentage of the share as states. If the contents is sold, the sales tokens are redistributed to the author and the seller according to the share. The proposed model can be applied to the ordinary person's copyright registration and management for Wisdom contents distributed in cafe, blog, YouTube, etc.

• Journal of Convergence for Information Technology
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• v.9 no.3
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• pp.16-21
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• 2019

Small and medium-sized Korean companies are currently changing their industrial structure faster than in the past due to various environmental factors (such as securing competitiveness and developing excellent products). In particular, the importance of collecting and utilizing data produced in smart factory environments is increasing as diverse devices related to artificial intelligence are put into manufacturing sites. This paper proposes an artificial intelligence-based smart factory model to improve the process of products produced at the manufacturing site with the recent smart factory. The proposed model aims to ensure the increasingly competitive manufacturing environment and minimize production costs. The proposed model is managed by considering not only information on products produced at the site of smart factory based on artificial intelligence, but also labour force consumed in the production of products, working hours and operating plant machinery. In addition, data produced in the proposed model can be linked with similar companies and share information, enabling strategic cooperation between enterprises in manufacturing site operations.

• The Journal of the Korea Contents Association
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• v.20 no.4
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• pp.284-294
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• 2020

As a solution to local and social problems, the active use of smart city living labs is becoming increasingly important. The answer to solving local and social problems lies in the citizen and the field. The purpose of this study is to establish a smart city living lab model based on citizen participation. In this study, smart city living lab model(4P-SCLLM) based on citizen participation was established through domestic and overseas living lab methodology and case analysis. In order to evaluate the systemicity and specificity of the 4P-SCLLM, a smart city living lab model, we recently compared it with the living lab process in Busan where smart city living lab is applied. As a result of analyzing, the analysis shows similar trends in each stage, and Busan's private sector showed a similar process to 4P-SCLLM On the other hand, public and private sector cooperation and support systems were found to be less than the 4P-SCLLM model And In technology and methodology, the 4P-SCLLM model is analyzed to have a living lab process that incorporates new technologies. In order to maintain the 4P-SCLLM continuously, first, participants and stakeholders need to participate actively and communicate while collaborating on the whole process from start to finish. Second, public awareness needs to be improved. Third, continuous citizenship verification of services is needed. Fourth, citizens' constant participation is needed. Through these implications, this study proposed 4P-SCLLM as a smart city living lab model suitable for the domestic situation.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2012.07a
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• pp.246-249
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• 2012

스마트 미디어 시대에 이용자들의 미디어 이용행태 조사 결과, 미디어의 이용시간이 증가하고 이용하는 매체수도 증가하고 있는데, 기존 매체와 달리 스마트 미디어간에는 보완적인 활용이 증가할 것으로 분석된다. 스마트 미디어는 플랫폼을 중심으로 판매자와 구매자가 거래를 하는 전형적인 양측시장에 속한다. 양측시장의 사업자들은 구매자와 판매자를 모두 자사의 플랫폼으로 끌어들이기 위해, 구매자와 판매자의 수요 탄력성을 고려하여 손해를 감수하고 투자를 하는 부분과 실질적으로 수익을 창출하는 전략을 취하지만 아직 스마트미디어에서는 이러한 비즈니스 모델이 본격적으로 출현하지 않은 것으로 보인다. 특히 제조사들의 경우는 TV 판매만으로도 충분한 수익원이 될 수 있어 콘텐츠의 공급자와 구매자 네트워크를 키우기 위한 비즈니스 모델을 선택하는 데에 소극적일 유인이 높다. 유료방송사업자와 인터넷 포털의 스마트STB 도입은 이러한 제조사에 대한 견제 주체가 될 수 있으나 이러한 견제가 유효하기 위해서는 플랫폼간의 표준화 및 호환성이 보장되어야 할 것이다.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.894-896
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• 2011

안전한 스마트폰 사용 환경을 위해 스마트폰 애플리케이션 콘텐츠의 검증 및 운영은 필수적이다. 기존 스마트폰 환경에서의 스마트폰 애플리케이션 콘텐츠 등록 및 관리는 애플리케이션 콘텐츠 등록 시에만 수행되어 지속적인 관리가 수행되지 않았기 때문에 사용자가 직접 관리해야하는 문제점이 있었다. 하지만 이러한 애플리케이션 콘텐츠 관리는 다양한 보안 취약점이 내포되어 있다. 따라서 본 논문에서는 기존 방식에서의 보안 취약점을 분석하고 이를 기반으로 스마트폰 애플리케이션 콘텐츠 통합 관리 모델을 제안한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.718-720
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• 2017

IT convergence with agriculture and livestock farming are expected to bring more efficiency and quality improvement in producing, distributing, consuming of agricultural products with the aid of information processing and autonomous control technologies of the IT area. In this paper, it is analyzed reference model and consider the actualized IT convergence case for agriculture and livestock, namely Smart Farming and Smart livestock Farming as a solution to cope the presented problems.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.284-285
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• 2023

항로표지 관련기업은 장비 및 유지보수 기업 중심으로 구성되어져 있었으나, 최근 스마트 항로표지 현장시설 고도화 R&D 추진에 따라 항로표지의 핵심장치라고 볼 수 있는 전원시스템과 통신단말 개발 기업이 참여하고 있으며, 이 두 기업들의 향후 R&D 종료 시점에 개발 제품이 최종 상용화되어 판매될 수 있도록 다양한 형태의 비즈니스 모델 발굴 추진이 필요하다. 동 연구에서는 참여기업의 성장과 신사업 추진이 가능하도록 개발 제품 및 서비스에 대한 수요 시장의 요구와 제공 가능한 수준의 단계에서부터 전략계획 및 목표관리, 비용관리 및 시스템과 같은 툴을 활용하여 체계적이고 구체적인 접근이 가능할 수 있도록 다양하게 고려하여 B2G, B2B까지 발굴에 대해 연구해보고자 한다.

• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.185-189
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• 2023

Text to SPARQL은 지식 그래프 기반 질의응답의 한 형태로 자연어 질문을 지식 그래프 검색 쿼리로 변환하는 태스크이다. SPARQL 쿼리는 지식 그래프의 정보를 기반으로 작성되어야 하기 때문에 기존 언어 모델을 통한 코드 생성방법으로는 잘 동작하지 않는다. 이에 우리는 거대 언어 모델을 활용하여 Text to SPARQL를 해결하기 위해 프롬프트에 지식 그래프의 정보를 증강시켜주는 방법론을 제안한다. 이에 더하여 다국어 정보 활용에 대한 영향을 검증하기 위해 한국어, 영어 각각의 레이블을 교차적으로 실험하였다. 추가로 한국어 Text to SPARQL 실험을 위하여 대표적인 Text to SPARQL 벤치마크 데이터셋 QALD-10을 한국어로 번역하여 공개하였다. 위 데이터를 이용해 지식 증강 프롬프팅의 효과를 실험적으로 입증하였다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.6
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• pp.1243-1252
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• 2012

Due to the widespread use of smart devices, threats of direct observation attacks such as shoulder surfing and recording attacks, by which user secrets can be stolen at user interfaces, are increasing greatly. Although formal security models are necessary to evaluate the possibility of and security against those attacks, such a model does not exist. In this paper, based on the previous work in which a HCI cognitive model was firstly utilized for analyzing security, we propose STM-GOMS model as an improvement of GOMS-based model with regard to memory limitations. We then apply STM-GOMS model for analyzing usability and security of a password entry scheme commonly used in smart devices and show the scheme is vulnerable to the shoulder-surfing attack. We finally conduct user experiments to show the results that support the validity of STM-GOMS modeling and analysis.

• Journal of the Korea Convergence Society
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• v.8 no.1
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• pp.25-34
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• 2017

With the recent spread of smartphones and the introduction of web services, online users can access large-scale content regardless of time or place. However, users have had trouble finding the content they wanted among large-scale content. To solve this problem, user modeling and content recommendation system have been actively studied in various fields. However, in spite of active changes in senior groups according to the changes in information environment, research on user modeling and content recommendation system focused on senior groups are insufficient. In this paper, we propose a method of modeling smart senior based on their preference, and further develop a smart senior classification model using machine learning methods. As a result, we can not only grasp the preferences of smart seniors, but also develop a smart senior classification model, which is the foundation for the research of a recommendation system which will provide the activities and contents most suitable for senior groups.