• Title/Summary/Keyword: Knowledge based industry

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

  • Choi, Jong-in;Kang, Seokjin
    • Knowledge Management Research
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    • v.14 no.5
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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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A Study of Related Factors to the Knowledge, Attitude, and Practices in the Occupational Health of Laboratory Workers (기업부설연구소에 종사하는 연구원의 산업보건에 대한 지식·태도·실천 관련 요인)

  • Kwon, Yoon-Jeong;Jung, Hye-Sun
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.29 no.4
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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
    • Journal of the Korea Institute of Building Construction
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    • v.20 no.6
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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.

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

  • Gu, Hyeong-Mo;Seo, Ji-Hyo;Choo, Seung-Yeon
    • Journal of the Architectural Institute of Korea Planning & Design
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    • v.35 no.12
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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.

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

  • Shin, Su-Yeon;Jung, Sang-Hoon
    • Journal of the Korean Regional Science Association
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    • v.39 no.2
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    • pp.31-46
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    • 2023
  • This study aims to analyze the spatial patterns of intellectual property across various regions through an in-depth analysis of intellectual property trends and their influential factors. While there's an overall upsurge in intellectual property applications in the Seoul metropolitan areas, a more detailed inspection reveals divergent patterns based on the type of intellectual property - with patent rights primarily increasing in certain non-Seoul areas and trademark rights seeing a rise predominantly within Seoul. Our findings also suggest that the growth in intellectual property applications correlates positively with improvements in public transportation accessibility, expansion of knowledge-based service industries, and a rise in large enterprises, although the relationships vary by intellectual property type. These results indicate the significant influence of geographical factors and industrial structures on knowledge-generation activities, thereby suggesting a need for region-specific policies to bolster these capacities.

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

  • Kim, Hyun-Woo;Shim, We;Kwon, Oh-Jin;Noh, Kyung-Ran
    • The Journal of the Korea institute of electronic communication sciences
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    • v.12 no.1
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    • pp.129-138
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    • 2017
  • The aim of this paper is to suggest methodology for local governments when discovering locally customized future promising industries with regard to policies of central government, regional competencies, and industrial promising. Firstly, key industries by region specified in '5-years regional industrial development master plan(2014)' were utilized. Secondly, science and technology competency by region was calculated with analyzing patent data in each key industries. Thirdly, industrial promising was verified by calculating Knowledge Stock and Activity Index based on measuring industry-IPC linkage. Based on the methodology proposed above, case study(case of Busan city) was done. Finally, 7 core industries and 94 candidates of future promising industries were extracted on the basis of 5 digit of KSIC subdivision. The methodology is expected to contribute local governments to establish evidence-based, efficient, and future-oriented local R&D roadmapping.

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

  • Chung, Young-Bae;Kim, Yon-Soo
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.36 no.2
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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.

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

  • Cho, Youngseok
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.13 no.4
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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.

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

  • Noh, Sang-Hyun;Lee, Sang-Gyu;Park, Un-Hwan;Lim, Yeun-Kyu
    • Journal of the Korean Society of Industry Convergence
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    • v.3 no.2
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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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Policy on Promoting Venture Business based on Patent and Technology in Metro Taejon and Chungcheong Area (대전 .충청지역 특허기술기반 벤처산업의 육성방안)

  • 이영덕
    • Journal of Korea Technology Innovation Society
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    • v.2 no.2
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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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