• 제목/요약/키워드: Environment-related technologies

검색결과 528건 처리시간 0.03초

기업간 제품정보 공유를 위한 협업적 제품거래 프레임워크 (CPC Framework for Sharing Product Information Across Enterprises)

  • 김현;김형선;이주행;정진미;도남철;이재열
    • 한국CDE학회논문집
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    • 제8권4호
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    • pp.201-211
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    • 2003
  • Collaborative product commerce (CPC) is a newly emerging technology to support inter-enterprise collaboration through the product life-cycle. From the IT point of view, CPC is software technology to integrate product, process and resources of different enterprises using Web technologies. In this paper, we introduce a CPC framework for integrating product information across enterprises, which being developed as a part of the CPC project by ETRI. The product metadata represented by XML schema, which is compatible with ISO STEP PDM Schema standard, is presented to semantically and schematically integrate distributed product information. The web services technologies are discussed to support the interoperability of application systems related to the product development, such as CAD and PDM, where most of these applications run in a distributed environment. Finally, we implement the frame-work to integrate distributed product information.

긴급제언 - 원격감시제어시스템의(SCADA) 기술현황과 도시가스산업에서의 발전방안 (The Current technology state of "Supervisory Control And Data Acquisition System(SCADA)" and development plan in the city-gas industry)

  • 최인환
    • 기술사
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    • 제43권3호
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    • pp.28-33
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    • 2010
  • The related industrial technologies are also being developed in medicine, education, the military, transportation, process management, security management and information technology industries due to a rapid progress in telecommunications technology. The supervisory remote control system is based upon telecommunications technology. The supervisory remote control systems are used in various ways such as city gas, water supply and drainage, environment, power, communication and device control fields. The supervisory remort control system became a solution with complex systems and important technologies in electricity, city gas filed that require safety management skills. The supervisory remote control system as a special technology has a lot of practical applications. In this paper, Let me examine the present status of remort control system applications and present development plans and alternatives in city-gas industrial technology.

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Tor 사용자 추적 기술 동향에 관한 연구 (A Research on User Tracing Technologies in Tor)

  • 한경현;황성운
    • 사물인터넷융복합논문지
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    • 제8권5호
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    • pp.111-117
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    • 2022
  • 익명 네트워크는 감시나 트래픽 추적을 피하기 위한 정보통신 보호를 목적으로 설계된 네트워크이다. 그러나 최근에는 이러한 특성을 악용하여 사이버 범죄자들이 익명 네트워크를 활용하여 사이버 범죄를 일으키고, 사법 당국의 추적을 회피하고 있다. 본 논문에서는 익명 네트워크 중 하나인 Tor를 중심으로 관련 연구를 조사한다. 본 논문은 Tor가 어떻게 익명성을 제공하는지 소개하고, Tor를 대상으로 어떻게 사용자를 추적할 수 있는지 소개한다. 또한 각 추적 기술을 비교 분석하였으며, 연구자가 실험 환경을 어떻게 구축할 수 있는지 설명한다.

Production Equipment Monitoring System Based on Cloud Computing for Machine Manufacturing Tools

  • Kim, Sungun;Yu, Heung-Sik
    • 한국멀티미디어학회논문지
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    • 제25권2호
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    • pp.197-205
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    • 2022
  • The Cyber Physical System(CPS) is an important concept in achieving SMSs(Smart Manufacturing Systems). Generally, CPS consists of physical and virtual elements. The former involves manufacturing devices in the field space, whereas the latter includes the technologies such as network, data collection and analysis, security, and monitoring and control technologies in the cyber space. Currently, all these elements are being integrated for achieving SMSs in which we can control and analyze various kinds of producing and diagnostic issues in the cyber space without the need for human intervention. In this study, we focus on implementing a production equipment monitoring system related to building a SMS. First, we describe the development of a fog-based gateway system that links physical manufacturing devices with virtual elements. This system also interacts with the cloud server in a multimedia network environment. Second, we explain the proposed network infrastructure to implement a monitoring system operating on a cloud server. Then, we discuss our monitoring applications, and explain the experience of how to apply the ML(Machine Learning) method for predictive diagnostics.

Fuzzy AHP기법을 적용한 에너지기술개발전략 우선순위 연구 (A Fuzzy AHP Approach to Prioritize the Energy Technology Development Strategy and Policy)

  • 이성곤;겐토 모기;김종욱
    • 신재생에너지
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    • 제4권1호
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    • pp.19-24
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    • 2008
  • Energy environment has been changing rapidly such as high oil prices and the effectuation of UNFCCC. Oil prices have continued to rise and Dubai crude prices recorded about 90 dollars per barrel in 2007. In addition, the effectuation of UNFCCC will affect Korean economy and national energy security. Korea is the 9th $CO_2$ emissions country and takes the 1st place related to the increase rate of $CO_2$ emissions globally. Energy technology development is a key breakthrough and one of the optimal alternatives to cope with national energy security. In this study, we prioritize energy technologies in the sectors of high oil prices and UNFCCC related to ETRM for well focus R&D and efficiency of finite resources allocations. We applied to the extended method of AHP, fuzzy AHP reflecting the fuzziness of human thoughts and perception, for prioritizing the relative importance among energy technologies in ETRM for the first time as we make an energy policy in Korea.

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Fuzzy AHP기법을 적용한 전략적 에너지기술정책 연구 (A study on the strategic energy technology policy;Fuzzy AHP approach)

  • 이성곤;;윤용진;김종욱
    • 한국신재생에너지학회:학술대회논문집
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    • 한국신재생에너지학회 2007년도 춘계학술대회
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    • pp.742-746
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    • 2007
  • Energy environment has been changing rapidly such as high oil prices and the effectuation of UNFCCC. Oil prices have continued to rise and Dubai crude prices recorded 60 or 70 dollars per barrel in 2006. In addition, the effectuation of UNFCCC will affect Korean economy and national energy security. Korea is the 9th $CO_2$ emissions country and takes the 1st place related to the increase rate of $CO_2$ emissions globally. Energy technology development is a key breakthrough and one of the optimal alternatives to cope with national energy security. In this study, we prioritize energy technologies in the sectors of high oil prices and UNFCCC related to ETRM for well focus R&D and efficiency of finite resources allocations. We applied to the extended method of AHP, fuzzy AHP reflecting the fuzziness of human thoughts and perception, for prioritizing the relative importance among energy technologies in ETRM for the first time as we make an energy policy in Korea.

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모바일 증강현실 기술 및 표준화 동향 (Trend of Technologies and Standardizations for Mobile Augmented Reality)

  • 이용환;이유경;박제호;윤경로;김정길;김영섭
    • 한국위성정보통신학회논문지
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    • 제8권1호
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    • pp.83-88
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    • 2013
  • 최근 스마트폰 사용자가 늘어나면서 증강현실 (Augmented Reality) 기술을 활용한 제품 소개 또는 광고 마케팅이 활발히 이뤄지고 있다. 이는 실제 환경에 가상 물체나 정보를 합성하여 원래의 실제 환경에 존재하는 사물처럼 보이게 하는 증강현실을 활용한 애플리케이션들이다. 본 논문에서는 모바일 환경에서 증강현실의 기술 요소 및 관련 표준화 동향을 살펴보고, 이미지 기반의 증강현실 기술에 대한 표준화 필요성에 대해 논의한다.

모바일 증권거래 시스템에 대한 사용자의 지속적 이용의도와 서비스 품질 측정요소 (Measuring Service Quality of Mobile Trading Systems and its Impact on the Intention to Continuous Use)

  • 최재원;장정희;김범수
    • 한국IT서비스학회지
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    • 제12권2호
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    • pp.301-319
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    • 2013
  • Wireless and mobile communication technologies enable individuals who trade stocks and bonds to use mobile-based trading services. Due to rapidly developing mobile technologies and adoption of the advanced/smart mobile devices such as smart phones and tablets, the use of mobile trading systems (MTS) have increased at an unexpected rate. Although many prior studies measured service quality on various service-related fields, there are few studies that is related to mobile trading systems compared to more traditional PC-based home trading systems. This research searches determinants of service quality for mobile trading systems and examines the effects of these factors on the intention to mobile trading systems' continuous use. Through an extensive literature review, this research finds three dimensions for mobile trading systems : interaction quality, service environment quality, and service outcome quality. The result of analysis shows that personalization, connectivity, ease of use, informativeness, and monetary value enhance the intention to continuous use. Considering environmental conditions such as the high rate of MTS adoption among individual users and stiffer competition among securities firms, these findings may help practically securities firms' shaping MTS system development strategies for individual users' continuous use and for increasing new users adoption.

Machine Learning Methodology for Management of Shipbuilding Master Data

  • Jeong, Ju Hyeon;Woo, Jong Hun;Park, JungGoo
    • International Journal of Naval Architecture and Ocean Engineering
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    • 제12권1호
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    • pp.428-439
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    • 2020
  • The continuous development of information and communication technologies has resulted in an exponential increase in data. Consequently, technologies related to data analysis are growing in importance. The shipbuilding industry has high production uncertainty and variability, which has created an urgent need for data analysis techniques, such as machine learning. In particular, the industry cannot effectively respond to changes in the production-related standard time information systems, such as the basic cycle time and lead time. Improvement measures are necessary to enable the industry to respond swiftly to changes in the production environment. In this study, the lead times for fabrication, assembly of ship block, spool fabrication and painting were predicted using machine learning technology to propose a new management method for the process lead time using a master data system for the time element in the production data. Data preprocessing was performed in various ways using R and Python, which are open source programming languages, and process variables were selected considering their relationships with the lead time through correlation analysis and analysis of variables. Various machine learning, deep learning, and ensemble learning algorithms were applied to create the lead time prediction models. In addition, the applicability of the proposed machine learning methodology to standard work hour prediction was verified by evaluating the prediction models using the evaluation criteria, such as the Mean Absolute Percentage Error (MAPE) and Root Mean Squared Logarithmic Error (RMSLE).

영상콘텐츠 제작을 위한 대학 교양 커리큘럼 개발 -영상콘텐츠의 이해와 제작- (Development of University Liberal Education Curriculum for Creating Video Content -Understanding and Production of Video Content-)

  • 박성대
    • 한국멀티미디어학회논문지
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    • 제23권6호
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    • pp.792-801
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    • 2020
  • Today, the media environment has changed dramatically with the development of Internet transmission technology, computer performance, and various media production technologies. In particular, video content is widely used every day through mobile device or computer connected to the Internet. In addition, the ability to produce video content today is more important than ever, as the use of video content is also increasing in the area of information delivery and communication over the Internet. In this study, it was developed a liberal education curriculum in universities for the production of video content. The developed curriculum was composed of a combination of an online curriculum for theory and an offline curriculum for practicum. In the online curriculum, a 54 DOOR contents were developed to allow students to learn the theoretical knowledge and basic making techniques related to the production of video content. In an offline 15-week practicum curriculum, it covered the practical training contents of video content production that should be acquired every week. This developed liberal education curriculum aims to give non-major students in universities the opportunity to learn the technology of producing video content and to foster the ability to communicate in the media environment by using the video content produced.