• Title/Summary/Keyword: 협업 유도

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A Study on the Induction Procedure of PLM in the Multi-Item Product Business : Benchmarking Method (다품종 사업환경에서의 PLM 적용에 대한 연구 : Benchmarking 기법)

  • Ahn, Yong-Ho;Jeong, Woo-Cheol;Kim, Tae-Sung
    • Journal of Digital Convergence
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    • v.10 no.5
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    • pp.125-133
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    • 2012
  • To make maximum benefit through the R&D investment, various methods is presented to support cooperating company in managing product information which reaches to conceptual design, detail design, production and a service from planning phase of production. Recently, the induction of PLM (Product Lifecycle Management) is being accelerated to design the enterprising system which is various from the idea phase for a product plan to the elimination through the life cycle of the product by the major companies. This study is focused on the research and development of the major companies which is producing products like sets, parts and equipment. This study proposes the process of product strategy, goods planning, development, information and the renovation of decision-making system.

A Study on the Development of BIM Guideline (BIM 가이드라인 개발에 관한 연구)

  • Seong, Joon-Ho;Kim, Ghil-Chae
    • Journal of KIBIM
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    • v.1 no.2
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    • pp.1-5
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    • 2011
  • A recent introduction of BIM has raised a necessity for BIM guidelines and guidelines following the decision about the BIM introduction are being present both home and abroad. This study hereby intended to develop BIM guidelines to the architectural field, for which the role and development directives of BIM guidelines were set up based on BIM concepts and examples of foreign guidelines. As a result, the role of guideline in (1)Activation of BIM (2)Support BIM process (3)Support and enhance collaboration (4)Standardized implementation of construction information (5)Technical support for BIM utilizing technology. It also classified the role of each guideline, standard and manual to establish detailed development directives. Besides, regarding the BIM process to clarify the goal to share among participants, information levels per stage and applicable scopes, for the sake of when to introduce BIM and how to use it properly, their contents were suggested in consideration of applicable BIM technologies based on business for each design stage at home.

Activation of Knowledge Exchange in the Researcher Community (과학기술자 지식 교류 서비스 활성화 요소 비교 연구)

  • Kim, Jay-Hoon;Yoon, Jung-Sun
    • The Journal of the Korea Contents Association
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    • v.11 no.12
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    • pp.950-957
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    • 2011
  • With the convergence of disciplines in progress and Web 2.0 online collaborative environment, online knowledge exchange activities of researchers are increasing. Quickness of acquiring knowledge highly impacts on research productivity in the global era. Online knowledge exchange is critical service for researchers. In this study, knowledge exchange service model was presented from the perspective of activate participation, knowledge quality improvement, quickness of exchanges. A variety of domestic and international knowledge exchange services were analyzed, particularly Korean domestic service KOSEN What is? as for operational practice. It is confirmed that in order to stimulate researcher knowledge exchange the quality of the knowledges exchanged is essential and variety of operating activities are needed such as expert matching systems, enhancement of speed in knowledge exchange, ease of usability, and elements of fun.

The Effect of Influencer Factors in Personal Media Contents on Purchase Intention (1인 미디어 콘텐츠의 인플루언서 요인이 상품 구매 의도에 미치는 영향: 브랜드 진정성의 매개효과를 중심으로)

  • Yu, Ines Hyunju;Kim, Hun
    • The Journal of the Korea Contents Association
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    • v.20 no.1
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    • pp.45-59
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    • 2020
  • This study is to examine the effects of personal media influencer's source credibility (attractiveness, trustworthiness, expertise) and content authenticity on brand authenticity and product purchase intention. An online survey was conducted, on which the respondents were asked to watch the embedded contents of the influencer provided on YouTube before answering the questionnaire. The results of the regression analysis showed that both influencer expertise and content authenticity had a positive effect on brand authenticity. Moreover, brand authenticity had a positive effect on purchase intention and had a mediating effect between purchase intention and content authenticity. The findings are meaningful in that they not only analyze empirical advertising effects of personal media and media contents but also expand the scope of research on authenticity. This study also provides strategic implications for personal media influencers and companies which want to collaborate with influencers.

Comparison of online video(OTT) content production technology based on artificial intelligence customized recommendation service (인공지능 맞춤 추천서비스 기반 온라인 동영상(OTT) 콘텐츠 제작 기술 비교)

  • CHUN, Sanghun;SHIN, Seoung-Jung
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.3
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    • pp.99-105
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    • 2021
  • In addition to the OTT video production service represented by Nexflix and YouTube, a personalized recommendation system for content with artificial intelligence has become common. YouTube's personalized recommendation service system consists of two neural networks, one neural network consisting of a recommendation candidate generation model and the other consisting of a ranking network. Netflix's video recommendation system consists of two data classification systems, divided into content-based filtering and collaborative filtering. As the online platform-led content production is activated by the Corona Pandemic, the field of virtual influencers using artificial intelligence is emerging. Virtual influencers are produced with GAN (Generative Adversarial Networks) artificial intelligence, and are unsupervised learning algorithms in which two opposing systems compete with each other. This study also researched the possibility of developing AI platform based on individual recommendation and virtual influencer (metabus) as a core content of OTT in the future.

How to Select Art Collaboration Artists? (아트 콜라보레이션의 협력 작가 선택 요인)

  • Lee, Eunea;Shin, Hyung Deok;Yu, Gun Jea
    • The Journal of the Korea Contents Association
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    • v.14 no.8
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    • pp.374-381
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    • 2014
  • We investigated what target (a nationality of an artist) firms select when they are engaged in art collaboration. We identified 137 cases of art collaboration between 2005 and 2013 through the analysis of news contents and we found that Korean firms prefer to artists whose nationality is same with that of those firms. In addition, such preferences disappear when the target of art collaboration is durable goods. This implies that Korean firms prefer to artists whose nationality is different from them in art collaboration because the collaboration with those artists help firms increase product reputation although a collaboration process is not favorable to those firms.

Keyword-Based Contents Recommendation Web Service (키워드 기반 콘텐츠 추천 웹서비스)

  • Park, Dong-Jin;Kim, Min-Geun;Song, Hyeon-Seop;Yoon, Seok-Min;Kim, Youngjong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.05a
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    • pp.346-348
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    • 2022
  • Media Contents Recommendation Web Service (service name 'mobodra') is a web service that analyzes media types and genre tastes for each user and recommends content accordingly. Users select some of the works randomly provided on the web when signing up for membership and analyze their tastes based on this. Based on this analysis, preferred content for each user is recommended. In this paper, we implement a content recommendation algorithm through item-based collaborative filtering. When the user's activity data or preference is re-examined, the above process is executed again to update the user's taste.

Strategies for Autonomous MUM-T Defense Industry (자율화 MUM-T 국방산업 전략)

  • Byungwoon Kim
    • Journal of Aerospace System Engineering
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    • v.17 no.2
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    • pp.56-61
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    • 2023
  • Recently, advancement of AI-enabled autonomous MUM-T combat system and industrial revitalization are rapidly emerging as global issues. However, the Defense Business Act of the Ministry of National Defense in Korea is judged to be somewhat insufficient compared to NATO leading countries in advancement of operation part of a weapon system as MUM-T is centered on a weapon system's own device. We established the concept of AI-enabled autonomous MUM-T to strengthen international competitiveness of complex combat systems such as future global UGV, UAV, and UMS. In addition, NATO and US-centered autonomy, interoperability, and data standardization-based defense AI MUM-T top-level platform construction and operation plan, establishment of a national defense innovation committee such as the National Science and Technology Advisory Council, review and advisory function reinforcement, and additional governance measures are proposed.

Usefulness of Virtual Fluoroscopy in Emergency Interventional Radiology (응급 인터벤션 영상의학에서 가상 투시영상 검사의 유용성)

  • Yoshihiro Tanaka;Akitoshi Oosone;Asuka Tsuchiya
    • Journal of the Korean Society of Radiology
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    • v.81 no.4
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    • pp.852-862
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    • 2020
  • Interventional radiology (IR) embolization requires image guidance to steer catheters to the site of bleeding, where embolic agents such as Gelfoam or coils are administered to stem blood flow. In addition to treating iatrogenic trauma, embolization is suitable for injuries precluding surgery such as blush-bleeding of the liver or kidney and for locating and treating intimal blood vessel tears. However, during hospital off-hours (such as nights and holidays), experienced IR personnel are not always available. In such situations, there is a dire need to build a coordinated IR team to treat seriously injured patients rapidly and reliably. This article reviews the current principles and techniques used in IR such as virtual fluoroscopy and their usefulness, and makes a convincing case for emergency IR.

Recommender System using Association Rule and Collaborative Filtering (연관 규칙과 협력적 여과 방식을 이용한 추천 시스템)

  • 이기현;고병진;조근식
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2002.05a
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    • pp.265-272
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    • 2002
  • 기존의 인터넷 웹사이트에서는 사용자의 만족을 극대화시키기 위하여 사용자별로 개인화 된 서비스를 제공하는 협력적 필터링 방식을 적용하고 있다 협력적 여과 기술은 비슷한 선호도를 가지는 사용자들과의 상관관계를 기반으로 취향에 맞는 아이템을 예측하여 특정 사용자에게 추천하여준다. 그러나 협력적 필터링은 추천을 받기 위해서 특정 수 이상의 아이템에 대한 평가를 요구하며, 또한 전체 사용자에 대해 단지 비슷한 선호도를 가지는 일부 사용자 정보에 의지하여 추천함으로써 나머지 사용자 정보를 무시하는 경향이 있다. 그러나 나머지 사용자 정보에도 추천을 위한 유용한 정보가 숨겨져 있다. 우리는 이러한 숨겨진 유용한 추천 정보를 발견하기 위하여 본 논문에서는 협력적 여과 방식과 함께 데이터 마이닝(Data Mining)에서 사용되는 연관 규칙(Association Rule)을 추천에 사용한다. 연관 규칙은 한 항목 그룹과 다른 항목 그룹 사이에 존재하는 연관성을 규칙(Rule)의 형태로 표현한 것이다. 이와 같이 생성된 연관 규칙은 개인 구매도 분석, 상품의 교차 매매(Cross-Marketing), 카탈로그 디자인, 염가 매출품(Loss Leader)분석, 상품 진열, 구매 성향에 따른 고객 분류 다양하게 사용되고 있다. 그러나 이런 연관 규칙은 추천 시스템에서 잘 응용되지 못하고 있는 실정이다. 본 논문에서 우리는 연관 규칙을 추천 시스템에 적용해, 항목 그룹 사이에 연관성을 유도함으로써 추천에 효율적으로 사용할 수 있음을 보였다. 즉 전체 사용자의 히스토리(History) 정보를 기반으로 아이템 사이의 연관 규칙을 유도하고 협력적 여과 방식과 함께 보조적으로 연관 규칙을 추천을 위해 사용함으로써 추천 시스템에 효율성을 높였다. 구축, 각종 전자문서 생성, 전자 결제, 온라인 보험 가입, 해운 선용품 판매 및 관련 정보 제공 등 해운 거래를 위한 종합적인 서비스가 제공되어야 한다. 이를 위해, 본문에서는 e-Marketplace의 효율적인 연계 방안에 대해 해운 관련 업종별로 제시하고 있다. 리스트 제공형, 중개형, 협력형, 보완형, 정보 연계형 등이 있는데, 이는 해운 분야에서 사이버 해운 거래가 가지는 문제점들을 보완하고 업종간 협업체제를 이루어 원활한 거래를 유도할 것이다. 그리하여 우리나라가 동북아 지역뿐만 아니라 세계적인 해운 국가 및 물류 ·정보 중심지로 성장할 수 있는 여건을 구축하는데 기여할 것이다. 나타내었다.약 1주일간의 포르말린 고정이 끝난 소장 및 대장을 부위별, 별 종양개수 및 분포를 자동영상분석기(Kontron Co. Ltd., Germany)로 분석하였다. 체의 변화, 장기무게, 사료소비량 및 마리당 종양의 개수에 대한 통계학적 유의성 검증을 위하여 Duncan's t-test로 통계처리 하였고, 종양 발생빈도에 대하여는 Likelihood ration Chi-square test로 유의성을 검증하였다. C57BL/6J-Apc$^{min/+}$계 수컷 이형접합체 형질전환 마우스에 AIN-76A 정제사료만을 투여한 대조군의 대장선종의 발생률은 84%(Group 3; 21/25례)로써 I3C 100ppm 및 300ppm을 투여한 경우에 있어서는 각군 모두 60%(Group 1; 12/20 례, Group 2; 15/25 례)로 감소하는 경향을 나타내었다. 대장선종의 마리당 발생개수에 있어서는 C57BL/6J-Apc$^{min/+}$계 수컷 이형접합체 형질전환 마우스에 AIN-76A 정제사료

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