• The Science & Technology
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• no.5 s.456
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• pp.88-93
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• 2007

• Science & Technology Policy
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• v.5 no.12 s.81
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• pp.4-8
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• 1995

• Science & Technology Policy
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• v.10 no.6 s.126
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• pp.118-130
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• 2000

• Journal of Korea Society of Industrial Information Systems
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• v.22 no.4
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• pp.19-28
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• 2017

Companies and Governments have Mainly used the Delphi Technique to Understand Research or Technology Trends. Because this Technique has the Disadvantage of Consuming a Large Amount of Time and Money, this Study Attempted to Understand and Predict Science and Technology Trends using the Topic Modeling Technique Latent Dirichlet Allocation (LDA). To this end, 20 Specific Artificial Intelligence (AI) Technologies were Extracted From the Abstracts of the US Patent Documents on AI. With Regard to the Extracted Specific Technologies, Core Technologies were Identified, and then these were Divided into Hot and Cold Technologies though a Trend Analysis on their Annual Proportions. Text/Word Searching, Computer Management, Programming Syntax, Network Administration, Multimedia, and Wireless Network Technology were Derived From Hot Technologies. These Technologies are Key Technologies that are Actively Studied in the Field of AI in Recent Years. The Methodology Suggested in this Study may be used to Analyze Trends, Derive Policies, or Predict Technical Demands in Various Fields such as Social Issues, Regional Innovation, and Management.

• The Journal of Society for e-Business Studies
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• v.11 no.1
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• pp.69-89
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• 2006

Due to the technological developments and industrial changes , studying for the future has been attached great importance. According to the forthcoming ubiquitous computing environment or smart environment, it is necessary for a country and an enterprise to forecast the future or foresight the future technologies . Although many countries have been doing the foresight, it is difficult for the enterprise to try future foresight activity, because the foresight activity needs lots of the costs and time for good results. Also, almost methodologies used in foresight are suitable for country level foresight projects. In this research, a methodology is developed for an enterprise to use easily, and a case based on the proposed methodology is presented. The proposed foresight methodology is developed based on the traditional forecasting methods, FAR, Future Wheel, and Scenario. Especially, the methodology focused on the customers of a company.

• The Science & Technology
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• v.33 no.2 s.369
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• pp.58-59
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• 2000

• Science & Technology Policy
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• v.3 no.7 s.52
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• pp.35-47
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• 1993

• Science & Technology Policy
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• v.1 no.1 s.1
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• pp.10-11
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• 1991

EC의 자동차 공동 연구 사업 "DRIVE" / 미·일 반도체 협정 체결과 그 파장 / 기술 예측 및 평가에 관한 관심 고조 /소프트웨어 무단 복제에 대한 미국 기업의 강력한 경고

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.372-372
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• 2020

사회가 다원화되고 발달하면서 생활환경과 행동양식에 따라 홍수 등의 수난(水難) 으로 인한 피해 정도와 양상은 크게 달라질 수 있으나, 수난으로 인한 체감 가능한 피해의 정도와 규모는 예측이 어려운 현실이다. 그리고, 최근 인터넷과 소셜 네트워크 서비스(SNS)의 급진적 발달은 재난 관리에 대중적 지식을 수집하여 활용하도록 촉진하고 있고, 이로 인해 재난 상황에서 '대중적인 정보가 기술자에 의해 어떻게 얼마나 신중하게 고려되어야 하는지와 어떻게 과학적으로 해석해야하는지'가 핵심 쟁점으로 부상하고 있다. 본 연구에서는 최근 널리 사용되는 인공지능 및 딥러닝 기법을 조사 분석하였다. 분석을 통해 수문 예측 분야에서 이러한 기술이 적용된 사례와 신기술을 조망해 보고 기존 기술이 인공지능 및 딥러닝 기법의 적용으로 대체 가능한 정도를 가늠해 보았다.

• 발명특허
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• v.29 no.10 s.340
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• pp.26-33
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• 2004