• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.246-247
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• 2023

최근 문화 공연 수요의 증가에 따라 암표 거래도 증가하는 추세이다. 이를 해결하고자 본 논문은 블록체인 기반 티켓 거래 시스템을 제시한다. 메타마스크로 티켓 거래를 진행하며 블록체인에 거래 내역을 기록함으로써 악의적인 재판매 행위를 근절하는데 목적이 있다. 블록체인 기술을 활용해 티켓 거래 내역의 위변조 위험성을 낮추고 무결성을 보장하여 기존 티켓 거래 사이트보다 높은 신뢰성을 제공한다. 또한 티켓 재판매 시 가격을 원가 이하로 제한하고 양도자의 지갑 주소를 양수자에게 비공개하여 사이트 외 추가적인 불법 거래를 방지한다. 본 연구가 공정한 디지털 거래 환경을 조성할 것이라 기대한다.

• 프린팅코리아
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• s.27
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• pp.102-103
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• 2004

드루파 2004 이후 유럽의 인쇄 산업에서 우리는 기존 인쇄공정의 자동화와 새로운 디지털 인쇄공정으로 크게 2개의 발전 경향을 엿볼 수 있다. 기존 인쇄 공정의 자동화는 JDF(Job Definition Format) 포맷을 통해 가능해 졌다. JDF는 인쇄사에서 사용하는 있는 서로 다른 프로그램의 통합을 가능하도록 했다. 인터넷 등을 통하여 디지털 작업이 접수되면 견적 가격은 물론 서버에 저장된 데이터를 통하여 잡 티켓(Job Tickets)이 만들어지고 이러한 데이터는 프리프레스의 작업 공정과 연결은 물론 교정기(Proofer), CTP, 인쇄, 후가공으로 자동 전달, 사용하게 된다.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.50 no.8
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• pp.583-590
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• 2022

This paper presents a framework, MADAM(Multidisciplinary Analysis and Design for Advanced Mobility). For the actual UAM operation, not only aircraft performances but also demand, cost and flight scenarios are in connection; the overall framework is essential for the multidisciplinary design. In this study, the framework is developed and introduced. Demand and cost analysis of Gimpo-Samseong line in the Seoul area using the framework is conducted as an example result. Also, future ticket prices are estimated by applying changes in the aspects of major cost components and the price, ￦76,000, is calculated with the target for maximizing the total profit in the year 2035.

• Proceedings of the Korea Association of Information Systems Conference
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• 2000.05a
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• pp.99-105
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• 2000

현재 전자상거래는 하루가 다르게 발전하여 무한한 발전의 기회를 제공하고 있다. 그리하여 본 연구에서는 인터넷 비즈니스를 수행하여 성공한 해외 인터넷 비즈니스 사이트들을 쇼핑몰, 포탈, 커뮤니티/채팅, 경매, 게임, 자동차, 음악, 금융, 서적, 여행/티켓, 의류, 음식료, 잡화, 택배로 분류하여 32개 해외성공사이트의 분석을 통하여 주요성공요인을 도출하여 이를 국내 우수한 사이버 쇼핑몰로 선정된 삼성몰, 인터파크, 한솔CS, 롯데인터넷에 적용하여 10개의 주요성공요인을 제품, 고객, 서비스, 컨텐츠, 프로세스, 커뮤니티, 정보, 마케팅, 사이버몰, 가격의 대분류를 기반으로 하여 35개의 소분류로 다시 분석해 내었다. 그리하여 이를 기반으로 이론적 연구모형과 가설을 제시하고 추후 실증분석을 위한 토대를 마련하고자 한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.2
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• pp.229-238
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• 2015

This study is to look into importance and achievement on awareness of creative musical audiences, who use SNS, by the use of Importance Performance Analysis(IPA), and to find ways to improve the recognition of creative musical by performance enterprise. In other words, the study is to discover choice attributes, that need to be urgently improved, which importance is rated high but which achievement is rated low. As a result, it is learned that composition of content(memorable dialogue), admission fee(ticket prices, charges of using additional facilities), theater(parking), composition of stage(acoustics of the stage), staff services(ticket box staff, usher, and etc. are should be properly controlled by staff expertise) need to be consistently improved. In addition, it is learned for SNS non-user group that choice items such as creative musical choice attribute(admission fee), composition of stage(acoustics of the stage), production(overall music from a musical), admission fee(ticket prices, charges of using additional facilities), and theater(parking) need to be improved.

• The Journal of the Korea Contents Association
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• v.15 no.5
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• pp.66-77
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• 2015

The main objective of this study was to identify the difference in the perceptions of the product attributes and the expected benefits for consumers and professionals in the performing arts industry. First, the Delphi method by using email and telephone was used to explore the professionals' perceptions of the attributes of performing arts and the expected benefits. Second, on-line consumer survey was used to explore the consumer perceptions of the attributes of performing arts and the expected benefits. Finally, this study tried to draw some difference of perceptions from both professionals and consumers. Contents of the arts, location of a theater, ticket price, relief of stress, and improvement of lifestyle were found to be commonly important factors for both parties. Among them, statistical differences between two groups were confirmed in the factors such as the reputations of the cast members and theatres, locations of theatres, and time duration of a performance.

• Journal of the Korean Data and Information Science Society
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• v.27 no.5
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• pp.1273-1284
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• 2016

In this paper, we analyzed the patents on machine learning using keyword network analysis and clique analysis. To construct a keyword network, important keywords were extracted based on the TF-IDF weight and their association, and network structure analysis and clique analysis was performed. Density and clustering coefficient of the patent keyword network are low, which shows that patent keywords on machine learning are weakly connected with each other. It is because the important patents on machine learning are mainly registered in the application system of machine learning rather thant machine learning techniques. Also, our results of clique analysis showed that the keywords found by cliques in 2005 patents are the subjects such as newsmaker verification, product forecasting, virus detection, biomarkers, and workflow management, while those in 2015 patents contain the subjects such as digital imaging, payment card, calling system, mammogram system, price prediction, etc. The clique analysis can be used not only for identifying specialized subjects, but also for search keywords in patent search systems.