• 제목/요약/키워드: Knowledge based industry

검색결과 1,023건 처리시간 0.021초

벤처기업의 성장과 지식경영: 케이맥(주) 사례를 중심으로 (Growth of Venture Company and Knowledge Management: The Case of K-MAC(Korea Materials & Analysis Corp.))

  • 최종인;강석진
    • 지식경영연구
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    • 제14권5호
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    • pp.1-14
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    • 2013
  • This paper is aimed at investigating the factors to grow the new technology based firm(NTBF), K-MAC. NTBFs need an environment in which novelty is encouraged, employees find work meaningful and controllable, learning is incorporated into work, ideas and process improvements are implemented and a balanced focus of the internal and external to the company is fostered. With collaboration between industry and academia, Lynda Aiman-Smith made an instrument of VIQ(Value Innovation Quotient), which is consist of 9 factors, 33 items. VIQ Results can help the company to develop a better understanding of the organization's culture, and its formal subgroups. That is to identify subcultures in the organization, to diagnose potential problems or inhibitors of innovation, to identify organizational strengths for innovation and set a quantitative baseline. Using the VIQ,K-MAC analysed the subculture of innovation potential capability. K-MAC organized the COP(community of practice) with the young employees' participation and try to solve the real problem in the working place. This paper explained the diverse growing trajectory through the TPM concept and suggest for the future strategy.

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기업부설연구소에 종사하는 연구원의 산업보건에 대한 지식·태도·실천 관련 요인 (A Study of Related Factors to the Knowledge, Attitude, and Practices in the Occupational Health of Laboratory Workers)

  • 권윤정;정혜선
    • 한국산업보건학회지
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    • 제29권4호
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    • pp.571-581
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    • 2019
  • Objectives: This study was conducted to measure the knowledge, attitude, and practices on occupational health and the analysis factors influencing them among researchers working at corporate research centers. Methods: A total of 298 researchers working at corporate research centers participated in the study. After eliminating 12 insufficient responses, the responses of 286 participants were used for the final estimate. The questionnaire consisted of questions about general and occupational characteristics as well as knowledge, attitude, and practices on occupational health. Results: Factors influencing occupational health practices were type of business, job position, and attitude toward occupational health. Attitude toward occupational health was found to have the greatest influence. Conclusions: It is necessary to develop educational contents appropriate for each type of industry, implement educational programs for researchers working at corporate research centers, and take actions to prevent health problems among researchers through various health-care activities such as experience-based activities and discussions.

Knowledge Evolution in Construction Automation Research

  • Mun, Seong-Hwan;Kim, Taehoon;Lee, Ung-Kyun;Cho, Kyuman;Lim, Hyunsu
    • 한국건축시공학회지
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    • 제20권6호
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    • pp.577-584
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    • 2020
  • Construction automation and robotics have been widely adopted in the construction industry as a promising solution to such issues like a shortage of skilled labor and the difficulties workers face in harsh working environments. The analysis of the knowledge structure and its evolution from the existing articles helps identify essential knowledge elements and possible future research directions. This study attempts to (1) construct keyword networks from the papers published in the International Symposium on Automation and Robotics in Construction (ISARC), (2) investigate how keywords and keyword communities are associated with each other, and (3) examine the changes in the crucial keywords over time. Through cluster analysis, 79 keywords were categorized into four groups (BIM, Building construction, Sensing, and GPS as representative keywords) with similar structural positions. Research trends show that research themes related to Infrastructure, Construction equipment, and 3D have consistently received a large amount of attention, regardless of geographical region. Research on as-built status model utilization through BIM and Laser scanning and improving Energy performance is taking place more frequently. In contrast, research studies related to problem-solving based on Neural networks are not as common as previously. This study provides useful insights into the construction automation field, at both the macro and micro levels.

딥러닝 기반 이미지 자동 레이블링을 활용한 건축물 파사드 데이터세트 구축 기술 개발 (A Development of Façade Dataset Construction Technology Using Deep Learning-based Automatic Image Labeling)

  • 구형모;서지효;추승연
    • 대한건축학회논문집:계획계
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    • 제35권12호
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    • pp.43-53
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    • 2019
  • The construction industry has made great strides in the past decades by utilizing computer programs including CAD. However, compared to other manufacturing sectors, labor productivity is low due to the high proportion of workers' knowledge-based task in addition to simple repetitive task. Therefore, the knowledge-based task efficiency of workers should be improved by recognizing the visual information of computers. A computer needs a lot of training data, such as the ImageNet project, to recognize visual information. This study, aim at proposing building facade datasets that is efficiently constructed by quickly collecting building facade data through portal site road view and automatically labeling using deep learning as part of construction of image dataset for visual recognition construction by the computer. As a method proposed in this study, we constructed a dataset for a part of Dongseong-ro, Daegu Metropolitan City and analyzed the utility and reliability of the dataset. Through this, it was confirmed that the computer could extract the significant facade information of the portal site road view by recognizing the visual information of the building facade image. Additionally, In contribution to verifying the feasibility of building construction image datasets. this study suggests the possibility of securing quantitative and qualitative facade design knowledge by extracting the facade design knowledge from any facade all over the world.

지역별 지식재산 출원의 지리적 패턴 분석 (Analysis of Geographical Patterns of Intellectual Property Applications by Region)

  • 신수연;정상훈
    • 지역연구
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    • 제39권2호
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    • pp.31-46
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    • 2023
  • 본 연구는 지식재산 추세에 대한 공간적 분석을 통해 지역별 지식재산의 공간적 패턴을 분석하고, 이에 영향을 미치는 요인을 분석하는데 그 목적이 있다. 전체적으로 지식재산 출원은 수도권에서 더욱 증가하고 있지만, 세부적으로 살펴보면 특허권은 서울 외곽의 특정지역을 중심으로, 상표권은 서울 중심으로 증가하는 패턴을 보여 지식재산 특성별로 증가패턴의 차이를 보였다. 또한 지식재산 출원은 전체적으로 대중교통 접근성이 좋을수록, 지식기반서비스업이 성장할수록, 대기업 수가 많을수록 증가하는 경향을 보였지만 지식재산 특성별로 약간의 차이가 있었다. 이를 통해 지리적 요인 및 산업구조가 지식창출활동의 성장과 밀접한 관련이 있음을 알 수 있었으며, 이는 지식창출 역량 증진을 위해서는 지역별로 차별화된 육성정책이 필요함을 시사한다.

특허 분석을 통한 지역맞춤형 미래유망산업 발굴 및 도출에 관한 연구 : 부산 지역 사례를 중심으로 (Discovering locally customized and future promising industries using patent analysis : Centered on the Case of Busan city)

  • 김현우;심위;권오진;노경란
    • 한국전자통신학회논문지
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    • 제12권1호
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    • pp.129-138
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    • 2017
  • 본 연구에서는 지역자치단체의 관점에서 정부 정책, 지역 역량, 산업 유망성 등을 모두 고려한 지역 맞춤형 미래 유망 산업 발굴 방법을 제시하고자 한다. 이를 위하여 정부의 '5개년 지역산업발전 종합계획(2014)'에 명시된 지역별 주력/협력산업 자료를 활용하였으며, 해당 산업군의 특허 데이터를 분석하여 지역별 과학기술 역량을 측정하였다. 또한 산업별로 연결된 IPC(: International Patent Classification)를 토대로 지식스톡(Knowledge Stock')과 연구활동지수(Activity Index) 등을 산출하여 세부산업별 유망성을 확인하였다. 부산 지역을 대상으로 사례분석을 실시한 결과, 한국표준산업분류 세세분류(5자리)를 기준으로 부산의 유망산업 예비 후보군 94개 분야 및 유망산업 핵심 산업군 7개 세세분야를 도출하였다. 본 연구에서 제시하는 방법론은 지방자치단체가 근거기반의 효율적이고 미래지향적인 지역 개발 로드맵을 수립하는데 기여할 수 있을 것이다.

업종별 경영품질활동과 성과에 관한 연구 (A Comparative Study on Management Quality Activities and Performance by Industrial Classification)

  • 정영배;김연수
    • 산업경영시스템학회지
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    • 제36권2호
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    • pp.25-31
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    • 2013
  • This paper analyzed the management quality activities and performance based on industrial types. We divided the business into four industrial types, manufacturing industry, service industry, medical institution and public enterprise. We analyzed the differences of the elements of management quality in industrial types. The results show that leadership, measurement, analysis and knowledge management and workforce focus categories are not significant and strategic planning, customer and market focus, process management and performance categories are significant. This paper proposes the directions of management quality activities and performance according to industrial types based on these results.

IOT를 이용한 DB기반 농작물 자동재배에 관한 연구 (A Study on DB base Auto Cultivation of Crops Using IOT)

  • 조영석
    • 디지털산업정보학회논문지
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    • 제13권4호
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    • pp.25-31
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    • 2017
  • In this paper, we propose a study on DB-based automatic crop cultivation that obtains crop cultivation data using IOT and automatically controls the cultivation environment using it. A system for DB-based automatic crop cultivation that automatically controls the cultivation environment is composed of a management server and a local controller. The management server was implemented using the MySQL DB in the Linux server system, and the local controller was designed and manufactured using the WiFi module and ARM Coretax-3 series MCU and confirmed its operation in the laboratory. The purpose of this study is to provide the optimal cultivation data and to grasp the cultivation status in real time when the knowledge of professional cultivation is needed like the farmers of ear farm villages. Research should continue to enable the cultivation of crops to reflect the requirements of each user.

퍼지이론을 이용한 CNC 공작기계의 절삭력제어 (Cutting Force Control of a CNC Machine Using Fuzzy Theory)

  • 노상현;이상규;박운환;임윤규
    • 한국산업융합학회 논문집
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    • 제3권2호
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    • pp.123-130
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    • 2000
  • Fuzzy control is proposed to regulate cutting force in turning operations under varying cutting conditions. The traditional linear controllers based on crisp mathematical model cannot effectively control cutting force becasue of the nonlinear dynamics of turning operations. The proposed fuzzy controller is based on operator experience and expert knowledge. The membership functions for the inputs and the output of the controller are designed. Cutting force is regulated by adjusting feedrate according to the variation of cutting conditions. The performance of the proposed controller is evaluated by experiments. The results of experiments show that the proposed fuzzy controller has a good cutting force regulation over a wide range of cutting conditions.

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대전 .충청지역 특허기술기반 벤처산업의 육성방안 (Policy on Promoting Venture Business based on Patent and Technology in Metro Taejon and Chungcheong Area)

  • 이영덕
    • 기술혁신학회지
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    • 제2권2호
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    • pp.309-325
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    • 1999
  • If we want to overcome the current IMF-guarded economic situations as early as possible and to change the present industry structure to the new knowledge-based structure, it is a great necessity to increase the capability of technology innovation as a key factor of the international competitiveness, and to establish the infrastructure of venture business for increasing utilization of technologly and patent. Even though there has been a great increase in application and enrollment of the Industrial Property Rights (i.e. IPRs) including patent recently, the number of unused IPRs are increasing progressively every year (for example, the ratio of unused patent is about 60% in 1997), and illegal use of patent and dependance on the foreign patent are increasing sharply. This paper will suggest policy on nurturing venture business for increasing utilization of the unused IPRs, including technology transaction strategy and link strategy of the high-tech industries between metro Taejon and Chungcheong Area.

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