• Asian Journal of Innovation and Policy
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• 제9권2호
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• pp.164-186
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• 2020

It is generally known that a Science and Technology Park - as a representative example of an Innovation Cluster - produces network synergy among industry, university, research institutes, and other innovation actors in a specific area, so that it has a competitive edge over other regions in technological innovation. However, as the novel Coronavirus (COVID-19) pandemic unfolds, it has become necessary to reduce face-to-face contacts and this could lead to lesser network synergy being produced in an Innovation Cluster. With this background, this research was designed and conducted to evaluate how COVID-19 has changed the activities in Innovation Clusters and explore future development scenarios. In order to find out the changes occurring in an Innovation Cluster, a survey was conducted among the people in Science and Technology Parks. The survey result shows that people are experiencing difficulties in technological innovation and support activities, and face-to-face contacts have been reduced in the Innovation Cluster. A scenario planning sought to explore the future development of the Innovation Cluster. It suggests that the transformation into a Digital Innovation Cluster, which is less affected by physical distance, but can still maintain the effectiveness of the networks, can be the key strategy for the future Innovation Cluster.

• 한국콘텐츠학회논문지
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• 제10권1호
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• pp.372-380
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• 2010

본 연구는 시뮬레이션 기반의 중장기 기술예측 방법론에 대해서 다룬다. 먼저 전문가 집단을 상대로 한 델파이 조사를 통해 미래의 신기술들의 출현 시점과 기술들간의 영향 관계에 대한 데이터를 수집한 후, 취득한 데이터를 활용하여 미래에 개발되어야 하는 신기술들 중에서 핵심기술을 도출하는 새로운 방법론을 제시한다. 일반적인 델파이 조사가 기술 출현에 대한 일정 시점의 예측치만을 제공하는데 반해, 본 연구에서는 시뮬레이션 알고리즘을 통해 기술 출현 시기에 대한 범위를 도출하고, 이를 기초로 핵심기술을 정의한다. 미래에 개발될 기술들의 출현 시점 뿐 만 아니라 핵심 기술에 대한 정보도 함께 도출함으로써, 연구개발 담당자 및 중장기 프로젝트 관리자들에게 자원배분과 관련한 정보를 제공하여 그들의 의사결정을 도울 수 있을 것으로 기대된다.

• 대한안전경영과학회지
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• 제12권3호
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• pp.321-326
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• 2010

Government evaluate annually a performance of government's R&D(Research & Development) and decide a budget and progress. So, a performance target setting of R&D is very important at the planning, The basic performance target setting of railroad R&D is clear. However, a scientific and technological performance target setting of railroad R&D is very difficult and a reasonable level of it can not be judged. Therefore, this study will suggest a solution for a scientific and technological performance target setting of railroad R&D through regression analysis of successfully finished railroad R&D, after judging a reasonability of a scientific and technological performance through comparing railroad R&D with the other R&D.

• Advances in Energy Research
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• 제7권2호
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• pp.135-146
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• 2020

In developing countries especially in African continent, rapid population growth in cities is a major concern. Majority of governments in Africa have made more effort to develop urban areas as compared to the rural ones. Social and economic activities are more concentrated in urban areas. This is a pushing factor for the rapid population growth in cities as many people, especially young generation, tend to migrate from rural to urban. This growth leads to excessive exploitation of natural resources, environmental degradation and increased pressure on social services. Rapid increased population acts as an encouragement to construct smart cities for achieving needs for present and future generations. Tanzania as one of the developing countries in Africa has taken initiatives in establishing smart cities. The aim of this study therefore, is to examine opportunities and challenges in the development of Smart cities in Tanzania with a case study of Mbeya city. In addition, conceptualization about development of smart cities is proposed to prioritize the planning of smart grid among other smart city infrastructure systems. Conclusively, Mbeya city has a full potential of many strengths and opportunities for successful development as a smart city.

• 품질경영학회지
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• 제28권1호
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• pp.27-40
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• 2000

Technological forecasting for microprocessor market can provide timely insight into the prospects for significant technological changes in computer hardware as well as software. In this paper, we use bibliometrics to forecast R&D trend on microprocessor technology. Cumulative numbers of US Patents on several generations of microprocessor technology (pipeline, superpipeline, supersclar and VLIW) approved since 1980 are applied to fit diffusion models. Our study results provide both the maximum market potential and the maturity time for each generation of microprocessor technology. Such information is expected to make contribution on making better decisions with regard to strategic corporate planning, R&D management, product development and investment in new technology of microprocessor.

• 산업경영시스템학회지
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• 제14권24호
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• pp.7-13
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• 1991

Recently, in FMS composing of various automatic equipments, the machines with lower operating costs, and with higher operating costs and replacement costs resulting from deterioration have been appearing successively as a result of rapidly advances in technology. "Control Limit Policy" [1] by using Markov decision policy, a kind of optimal economic replacement decision, well reflects and represents this environment. In this paper, it is reviewed that the decision method of the forecasted replacement alternatives in planning horizon under technological advances is derived. The proposed method is applied to a numerical example and some characteristics are examined by sensitivity. It is clarified that the method is relatively insensitive to changes of parameters at the present decision. decision.

• 한국컴퓨터정보학회논문지
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• 제20권2호
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• pp.113-120
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• 2015

Technology analysis is to analyze technological data such as patent and paper for a given technology field. From the results of technology analysis, we can get novel knowledge for R&D planing and management. For the technology analysis, we can use diverse methods of statistics. Time series analysis is one of efficient approaches for technology analysis, because most technologies have researched and developed depended on time. So many technological data are time series. Time series data are occurred through time. In this paper, we propose a methodology of technology forecasting using the dynamic time warping (DTW) of time series analysis. To illustrate how to apply our methodology to real problem, we perform a case study of patent documents in target technology field. This research will contribute to R&D planning and technology management.

• 기술혁신연구
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• 제12권3호
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• pp.135-157
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• 2004

As the speed of technological changes increase with the investment requirements steadily expanding, private firms and government-funded research institutes experience similar pressures with respect to the necessity of risk reduction and technological alliances in R&D activities. This paper first attempts to review previous research in managing R&D projects with large, risky, and long-term investment requirements. Our primary focus is placed on the "fuzzy front-end" (FFE) projects with uncertainties at the investigation and planning stages. We analyze various elements that create FFE conditions, classify them into basic constructs, and suggest tools and methods to deal with FFE conditions. The findings suggest that both initial FFE conditions and the effectiveness of FFE management affect the performance of the project later on, and thus, especially for large projects, we must deal with FFE seriously in a comprehensive manner. We utilize in-depth panel interviews and case studies to approach the research questions.

• 한국의학물리학회지:의학물리
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• 제31권3호
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• pp.71-80
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• 2020

This paper provides a brief review of the advanced technologies for carbon ion radiotherapy (CIRT), with a focus on current developments. Compared to photon beam therapy, treatment using heavy ions, especially a carbon beam, has potential advantages due to its physical and biological properties. Carbon ion beams with high linear energy transfer demonstrate high relative biological effectiveness in cell killing, particularly at the Bragg peak. With these unique properties, CIRT allows for accurate targeting and dose escalation for tumors with better sparing of adjacent normal tissues. Recently, the available CIRT technologies included fast pencil beam scanning, superconducting rotating gantry, respiratory motion management, and accurate beam modeling for the treatment planning system. These techniques provide precise treatment, operational efficiency, and patient comfort. Currently, there are 12 CIRT facilities worldwide; with technological improvements, they continue to grow in number. Ongoing technological developments include the use of multiple ion beams, effective beam delivery, accurate biological modeling, and downsizing the facility.

• 국제학술발표논문집
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• The 2th International Conference on Construction Engineering and Project Management
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• pp.729-738
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• 2007

The Public Private Partnership/Private Finance Initiative (PPP/PFI) schemes have made the private sector become a major participant involved in the development of infrastructure systems along with the government. Due to more integrated efforts among project participants and longer concession period, PPP/PFI projects are inherently more complex and risky. It is therefore very important to proactively manage the risks involved throughout the project life cycle. Conventional risk management strategies sometimes ignore managerial flexibility in the planning and execution process. This paper starts with a revised risk management framework which incorporates the real option concept. Following the presentation of the framework, a new risk classification is proposed which leads to different ways of structuring options in a project according to the stage of the project life cycle. Finally, the paper closes by discussing other issues concerning option modeling and negotiation.