• 제목/요약/키워드: Learning Contract

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이더리움 네트워크 기반의 연합학습 (Federated Learning Based on Ethereum Network)

  • 황승연;김정준
    • 한국인터넷방송통신학회논문지
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    • 제24권2호
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    • pp.191-196
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    • 2024
  • 최근 여러 기업과 연구기관들이 IoT 장비에서 수집되는 다양한 데이터를 분석하고 실제 응용 서비스를 통해 제공하기 위한 지능형 IoT 기술에 관한 연구가 활발히 진행되고 있다. 하지만 IoT 기기에서 수집되는 데이터들을 연구 및 개발에 사용하기 위해 데이터를 송수신하는 과정에서 개인정보유출과 같은 보안상의 이슈가 발생할 수 있다. 그리고 여러 IoT 기기에서 수집되는 데이터가 증가할수록 데이터 관리에 어려움이 존재하며 데이터를 이동하는 데 큰 비용과 시간이 소요된다. 따라서 본 논문에서는 다양한 기기로 이루어진 연합학습 환경에서 보안상의 이슈와 비효율성을 개선하기 위해 신뢰성이 보장된 이더리움 네트워크 기반의 연합학습 시스템을 개발하고자 한다.

Social Business 참여에 영향을 주는 내.외재적 특성과 심리적 계약의 조절효과에 대한 실증연구 (An Empirical Study on the Influence of Internal and External Characteristics on the Social Business Participation and the Moderating Effects of Psychological Contract)

  • 김상현;김근아
    • 한국IT서비스학회지
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    • 제10권4호
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    • pp.1-19
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    • 2011
  • Following the growth of e-Business, there has been a recent increase of interest in promoting Social Business (s-Business) based on Social Network Service(SNS). As the introduction of the Internet brought about the increasing number of its users followed by the growing market of e-Commerce, online games, and e-Learning, the increasing number of SNS users has opened the new markets combining the existing industrial fields with SNS, and it developed into a revenue model beyond the mere sharing of information. Despite such industrial and social environments, understanding of new social business technology from the aspect of business has been insufficient, and the empirical study on participation in the social business has been scant as well. Thus, the main purpose of this study is to investigate the s-Business in detail and to study the factors giving influence to the users' participation in s-Business. This study proposes six variables(Self-Empowerment, Job Relevance, Formation of Social Capital, Relative Advantage, Shared Value, Relationship Specified Investment) and the moderating effects of Psychological Contract as influential factors closely related with s-Business. A total of 362 data from a survey were analyzed by using Structural Equation Modeling(SEM). Result showed that all factors with the exception of Job Relevance have meaningful influence on the intention to participate in s-Business. The implication of the findings suggests to compliment limitations of the existing researches, and to prepare the theoretical foundation for promoting s-Business participation in addition to further suggesting directionality from the view point of the users of the social business-relevant studies.

QFD 기법을 이용한 병원 위탁급식 운영전략 수립 (Strategic Planning for the Contract-Managed Hospital Foodservice Through QFD Methodology)

  • 양일선;박수연;김현아;박문경;신서영;이해영
    • 대한지역사회영양학회지
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    • 제8권5호
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    • pp.744-754
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    • 2003
  • At present, health care industries throughout the world are struggling with the challenges to set up financial structures as cost-effective ways and means of satisfying customer needs for health care services. Many hospitals consign foodservice management to foodservice companies for the purpose of efficiency. The companies taking charge of hospital foodservice are also striving to gain an advantage over keen competitions. This study applied Quality Function Deployment(QFD) to one hospital (which will be shown as $\ulcorner$A hospital$\lrcorner$ below) managed by a contract foodservice company for the purpose of strategy planning to provide sustainable competitive advantage. First of all, this study scanned internal and external environment of $\ulcorner$A hospital$\lrcorner$ by means of a Quality Measurement Tool and a fieldwork study. With the result of environment scanning, this study elicited 20 strategies through SWOT analysis, which were categorized by 4 perspectives such as financial, customer, internal process, learning and growth perspectives. Finally, the priorities of 20 strategies were extracted from QFD methodology. According to the results obtained by applying QFD to $\ulcorner$A hospital$\lrcorner$'s foodservice, the strategies which $\ulcorner$A hospital$\lrcorner$ foodservice was obliged to introduce and implement were : the specialization of Children's hospital foodservice, scientific foodservice management through the standardization of foodservice operations, the maintenance of sanitary quality through sanitary system, the remodeling of facilities, the introduction of new equipment, the prompt and accurate response to customer needs, the development of appropriate patient menus, the provision of competitively priced meals for patient selection, the development of a demand forecast model by considering the characteristics of a children's hospital, improvement of productivity and the reduction of labor costs through the employment of experienced employees based on their seniority.

요양보호사 교육기관 교육서비스 질 평가 도구개발 (Development of an Evaluation Instrument for Education Services Quality in Learning Facilities for Care Workers)

  • 진영란;이효영
    • 보건의료산업학회지
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    • 제7권4호
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    • pp.33-47
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    • 2013
  • The purpose of this study is to identify the important factors of education service quality and to develop the evaluation instrument in learning facilities for care workers. This study was processed as four steps. First, the important factors were confirmed through literature reviews and the expert board discussions. Second, the evaluation instrument was developed and validity & reliability of the instrument were checked by factor analysis and Cronbach's ${\alpha}$. Lastly, the instrument was rechecked by the expert board in language usages and importance of the items. The results indicated that the important quality factors were divided with infrastructure and service process. Especially, the process contained providing appropriate education information & counseling, providing appropriate contract & paying fees, keeping specified service principles and so on. The study instrument was developed with 28 items. This instrument will be helpful to improve the education service quality. Besides, the staffs must continuously try to improve and manage their education services using the results of this kind of evaluation instrument.

융자성 기금관리를 위한 블록체인, 머신러닝 설계 연구 (Design Research of Blockchain, Machine Learning for the management of financing fund)

  • 오락성;박대우
    • 한국정보통신학회논문지
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    • 제23권10호
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    • pp.1201-1208
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    • 2019
  • 정부는 국가정책사업의 원활한 수행을 위하여 국가재정법에 의거 융자성 기금을 운용하고 있다. 그러나, 기금운용절차와 기금관리 측면에서 기금의 오남용, 사후관리 미흡 등 문제점에 노출되어 있다. 본 논문 연구에서는 이러한 문제점을 해결하기 위해 Blockchain과 Machine Learning 등 Fintech 기술을 활용하였다. 기금운용절차는 Consortium Blockchain으로 설계하고, PBFT 협의 Algorithm과 Smart 계약을 적용하는 방안을 제시하였다. 기금관리는 Machine Learning의 Multilayer Artificial Neural Network Model을 활용하는 방안과 결과 값 해석모듈을 함께 제시하였다. 본 Fintech 기술 활용 방안을 도입하게 되면 기금대출의 투명성과 효율성 제고, 신뢰성 확보가 가능하고 정부의 기금제도 개선 및 기금정책 수립에도 기여 할 수 있을 것이다.

과채류 컨설팅에 대한 농가, 컨설턴트 및 컨설팅업체 간 견해 비교 분석 (Comparative Analysis of Opinions about Practicing Works among Farm, Consultant, and Consulting Company in Consulting Field of Fruits and Vegetables)

  • 김호철;최준혁;정석기;이용범;배종향
    • 생물환경조절학회지
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    • 제18권3호
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    • pp.266-272
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    • 2009
  • 국내 주요 과채류 농가, 국내외 컨설턴트 및 컨설팅 업체를 대상으로 하여 컨설팅 실태와 개선방향을 위한 설문조사를 수행하였다. 농가는 생산기술을 습득하기 위해서 컨설팅은 반드시 필요하며, 방문에 의한 컨설팅을 원하였다. 그러나 컨설턴트의 현장경험과 지식수준에 대하여는 신뢰성이 낮았다. 또한 컨설턴트의 과중한 업무로 방문 시 충분한 시간을 할여하지 않는다고 답하였다. 그리고 적합한 컨설팅을 위해서는 생산이력 관리시스템이 필요하다고 하였다. 3자간 공통 문항 결과에서는 계약기간(답변: 연간계약), 컨설팅 적정 수단(답변: 방문), 방문 시 컨설팅 시간(답변: $2{\sim}3$시간)등에 대하여는 대부분 공통적인 답변이었다. 그러나 일부 농가에서는 방문 시 컨설팅 시간을 연장하기를 원하였다. 컨설팅 공급자(컨설팅업체, 컨설턴트)와 수요자(농가) 간 가장 큰 차이를 나타낸 항목은 계약금 결정방법(답변 가계약 금액컨설팅 내용과 질)과 현재 정부 보조금 지원(답변: 적정확대)이었다.

기계학습을 활용한 이더리움 미확인 스마트 컨트랙트 자동 분류 방안 (Automated Classification of Unknown Smart Contracts of Ethereum Using Machine Learning)

  • 이동건;권태경
    • 정보보호학회논문지
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    • 제28권6호
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    • pp.1319-1328
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    • 2018
  • 암호화폐를 위해 개발된 블록체인 시스템은 탈중앙화, 분산원장 및 부분적 실명은닉성의 특징을 가지고 있어 최근 다양한 분야에서 적용이 시도되고 있다. 그 중 부분적 실명은닉성은 사용자 프라이버시를 강력히 보장하지만 범죄악용 등 부작용 또한 나타나고 있어 이를 공격하기 위한 방안들이 지속 연구되어 왔다. 본 연구에서는 2세대 암호화폐의 대표인 이더리움 블록체인 시스템에서의 사용자 행위 식별을 위해 기계학습을 활용한 미확인 스마트 컨트랙트 기능 및 디자인 패턴의 자동 분류 방안에 대하여 제안한다.

Technology Licensing Agreements from an Organizational Learning Perspective

  • Lee, JongKuk;Song, Sangyoung
    • Asia Marketing Journal
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    • 제15권3호
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    • pp.79-95
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    • 2013
  • New product innovation is a process of embodying new knowledge in a product and technology licensing is getting popular as a means to innovations and introduction of new product to the market in today's competitive global market environment. Incumbents often rely on technology licensing to access new product opportunities created by other firms. Prior research has examined various aspects of technology licensing agreements such as specific contract terms of licensing agreements, e.g., distribution of control rights, exclusivity of licensing agreements, cross-licensing, and the scope of licensing agreements. This study aims to provide answers to an important, but under-researched question: why do some incumbents initiate more licensing agreement for exploratory learning while others do it for exploitative learning along the innovation process? We attempt to extend our knowledge of licensing agreements from an organizational learning perspective. Technology licensing as a specific form of interfirm linkages can be initiated with different learning objectives along the process of new product innovation. The exploratory stages of the innovation process such as discovery or research stages involve extensive searches to create new knowledge or capabilities, whereas the exploitative stages of the innovation process such as application or test stages near the commercialization are more focused on developing specific applications or improving their efficiency or reliability. Thus, different stages of the innovation process generate different types of learning and the resulting technological resources. We examine when incumbents as licensees initiate more licensing agreements for exploratory learning objectives and when more for exploitative learning objectives, focusing on two factors that may influence a firm's formation of exploratory and exploitative licensing agreements: 1) its past radical and incremental innovation experience and 2) its internal investments in R&D and marketing. We develop and test our hypotheses regarding the relationship between a firm's radical and incremental new product experience, R&D investment intensity and marketing investment intensity, and the likelihood of engaging in exploratory and exploitive licensing agreements. Using data collected from various secondary sources (Recap database, Compustat database, and FDA website), we analyzed technology licensing agreements initiated in the biotechnology and pharmaceutical industries from 1988 to 2011. The results of this study show that incumbents initiate exploratory rather than exploitative licensing agreements when they have more radical innovation experience and when they invest in R&D activities more intensively; in contrast, they initiate exploitative rather than exploratory licensing agreements when they have more incremental innovation experience and when they invest in marketing activities more intensively. The findings of this study contribute to the licensing and interfirm cooperation studies. First, this study lays a foundation to understand the organizational learning aspect of technology licensing agreements. Second, this study sheds lights on how a firm's internal investments in R&D and marketing are linked to its tendency to initiate licensing agreements along the innovation process. Finally, the findings of this study provide important insight to managers regarding which technologies to gain via licensing agreements. This study suggests that firms need to consider their internal investments in R&D and marketing as well as their past innovation experiences when they initiate licensing agreements along the process of new product innovation.

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FORECASTING THE COST AND DURATION OF SCHOOL RECONSTRUCTION PROJECTS USING ARTIFICIAL NEURAL NETWORK

  • Ying-Hua Huang ;Wei Tong Chen;Shih-Chieh Chan
    • 국제학술발표논문집
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    • The 1th International Conference on Construction Engineering and Project Management
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    • pp.913-916
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    • 2005
  • This paper presents the development of Artificial Neural Network models for forecasting the cost and contract duration of school reconstruction projects to assist the planners' decision-making in the early stage of the projects. 132 schools reconstruction projects in central Taiwan, which received the most serious damage from the Chi-Chi Earthquake, were collected. The developed Artificial Neural Network prediction models demonstrate good prediction abilities with average error rates under 10% for school reconstruction projects. The analytical results indicate that the Artificial Neural Network model with back-propagation learning is a feasible method to produce accurate prediction results to assist planners' decision-making process.

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수평적 형평화 기금에 의한 지역균형발전전략 연구(II) (A Study on the Balanced Regional Development Strategy through the Horizontal Equalization Development Fund (II))

  • 김용창
    • 대한지리학회지
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    • 제43권6호
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    • pp.914-937
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    • 2008
  • 본 논문에서는 지금까지 대부분의 지방재정 논의가 중앙정부를 중심축으로 하는 지방재정의 재정분권과 형평화 효과를 중심으로 이루어지고 있다고 보고 대안적으로 수도권과 비수도권의 상생발전을 위한 수평적 형평화 기금 조성방안을 제시한다. 먼저 지역 간 재정기반의 불균등을 분석하고, 형평화 기금 조성을 위한 부동산관련 조세적 방법, 개발이익 및 개발부담금 등을 활용하는 비조세적 방법, 공동세 방법, 수도권 규제조정 및 용도지역 변경에 따른 이익활용방법을 분석한다. 마지막으로 형평화 기금의 운용을 위한 사회적 협약과 계약이론에 기반 하는 거버넌스 전략을 제시한다.