• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.5
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• pp.2067-2077
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• 2011

The recent trend in technology development is characterized as technology convergence, mainly between IT, BT and NT and also more and more industries are starting to use several technologies simultaneously or in a combined way theses days. As a result, the needs on technology interaction analysis is increasing for strategic technology management and policy-making. Responding to the needs, this research deals with technology innovation process in terms of technology competition, particularly focusing on the 17 new growth drivers in 3 areas, which has been announced by the Korean government as a new growth vision for Korean economy, and analyzing their co-evolutionary process. For the analysis, patent data, a representative data on technology innovation, is adopted. Then, Lotka-Volterra Competition model, a model frequently used to describe the dynamism of competitive innovation is applied to the data. The research results are expected to support strategic decision-makings such as effect policy-making or R&D priority-setting, by analyzing the relationship between the 3 areas, the 17 new growth drivers, or the particular technologies in the drivers.

• Resources Recycling
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• v.14 no.6 s.68
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• pp.44-59
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• 2005

In this paper the world wide patents on the recycling of used batteries were inspected. The trend and direction of on-going and future technologies on this matter were analyzed. The range of search was limited in the open patents and in DB of U.S.A.(USPTO, DLPHION), Japan(PAJ), Europe(EPO), and Korea(KIPRIS). For the search condition the keyword, battery, batteries, electric cell, patent, and recycling, and IPC classification were used. The total of 2,490 cases was found at the first search stage, then, through the 2 steps of filtering processes the total of 871 cases was selected for the final analysis. These 871 cases were classified by countries, companies, and technologies between the year 1971 and the you 2000.

• Journal of Korea Technology Innovation Society
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• v.22 no.3
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• pp.340-361
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• 2019

This study analyzes the technological structure of artificial intelligence (AI) and technological capabilities of AI companies based on patent information. 2589 AI patents registered in USPTO from 2007 to 2017 were collected and analyzed by the Latent Dirichlet Allocation (LDA) to derive 20 AI technology topics. Analysis of technology development trends by AI technology reveals that visual understanding, data analysis, motion control, and machine learning are growing, while language understanding and speech technology are sluggish. In addition, we also investigated leading companies in each sub-field of AI as well as core competencies of global IT companies. The findings of this study are expected to be fruitfully used for formulation and implementation of technology strategy of AI companies.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39C no.12
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• pp.1230-1242
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• 2014

There might be still weakness in domestic R&D of DIY based modular smart phone and device to cope effectively with post smartphone era. Currently, it is essential for us to provide technology development and countermeasure way against subversive influence that development and commercial release of Google's modular smartphone can cause in such ecology. This paper focused to suggest binding assignment and technology prospect required in promoting industrialization related with IoT and deducing the global countermeasure ways through investigation and analysis about advanced technology and patents of modular smart phone and devices. Description includes introduction, technology outline, technology and patent trend, conclusion.

• The KIPS Transactions:PartD
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• v.18D no.6
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• pp.493-500
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• 2011

The trends of technical terms express the changes of particular subjects in a specific research field over time. However, the amount of academic literature and patent data is too large to be analyzed by human resources. In this paper, we propose a method that can detect and analyze the trends of terms by modeling the life cycle of the terms. The proposed method is composed of the following steps. First, the technical terms are extracted from academic literature data, and the TDVs(Term Dominance Values) of terms are computed on a periodic basis. Based on the TDVs, the life cycles of terms are modeled, and technical terms with similar temporal patterns of the life cycles are classified into the same trends class. The experiments shown in this paper is performed by exploiting the NDSL academic literature data maintained by KISTI.

• Journal of the Korea Convergence Society
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• v.8 no.8
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• pp.1-8
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• 2017

Recently, the technological development in the Internet of Things(IoT) field has grown rapidly worldwide and China is also expected to show a noticeable growth trend in this field. Therefore, the aim of this research is to analyze the recent trend of Chinese patents in the IoT field. China has been very active between 2010 and 2014, surpassing USA, and the this trend will accelerate in the future. The results of the analysis are as follows. First, the number of IoT-related patents in China increased rapidly from 2010 to 2014. Second, the major actors that led this quantitative increase are firms including ZTE and higher education institutes such as Nanjing University of Posts and Telecommunications. Lastly, major technological fields and the convergence networks amongst those fields were analyzed. As a result, it was found that the patenting activity in H04L was the most active and this field has led the convergence among other technological fields.

• Journal of Korean Medical classics
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• v.20 no.4
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• pp.171-186
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• 2007

The fusion research subjects of Oriental medicine and Bio-Technology are actively advanced. Development of information analysis algorithm for constitution diagnosis using clinical and biological information is started recently. In addition, the research for providing personal oriented treatment information with Diagnosis result is to in the process of advancing. This paper considers the inside and outside of the country technical development trend of research for using clinical and biological information by analyzing patents and papers. It executed information analysis about changes to number of research papers and patents, present state and star higher officer of research facility from the dissertation which it sees. It is known that our country research result is slight so far in quantity and quality as result of analysis. But hereafter it contains a many developmental possibility. Also it reflects the appearance and a growth of new field like bioinformatics from constitution and bio information application field. The combination of bio information similar to constitution and heredity and computing technology to control those information efficiently comes to think with core technique.

• Electronics and Telecommunications Trends
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• v.29 no.2
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• pp.33-41
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• 2014

본고에서는 한국을 비롯하여 미국, 일본, 유럽의 최근 빅데이터 특허시장을 분석하였다. 분석결과 빅데이터 특허시장은 미국이 세계시장을 독과점하는 구조로 나타났다. 전 세계적으로 가장 활발한 특허 활동을 전개하고 있는 미국 특허를 대상으로 빅데이터 연구개발 트렌드를 조망해 보면 과거에는 다수 기업들에 의하여 많은 특허출원이 이루어지는 경향을 보였으나, 최근 들어 기존 기업들 간의 경쟁이 심화되면서 대기업 위주로 특허출원시장이 재편되어 가는 경향을 보이고 있다. 한편 과거에는 데이터 분석 및 처리기술에 많은 특허출원이 이루어졌으나 최근에는 데이터 운영 및 관리기술로 옮겨가는 것으로 조사되었으며, 특허출원 건수도 과거에 비하여 대폭 증가하고 있는 경향을 보이고 있다. 우리나라의 경우 실시간 처리기술, 저장기술, 표현기술은 상대적으로 높은 출원 점유율을 보이고 있으나, 데이터 수집 및 분석기술은 상대적으로 점유율이 낮게 나타나 관련 기술 강화를 위한 대책 마련이 시급한 것으로 조사되었다. 정부는 이를 위하여 데이터 사이언티스트 양성을 위한 정책적 지원을 확대할 필요가 있다.

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.333-334
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• 2011

연료전지 자동차 기술 분야에서 한국의 현대자동차가 243건으로 가장 많은 등록특허를 보유한 것으로 나타났으며, 일본의 HONDA MOTOR가 220건, TOYOTA MOTOR가 153건의 특허를 보유하고 있는 것으로 나타났다. 주요출원인별 IPC 분포를 통해 연구개발 역점분야를 살펴보면, 주요 상위 출원인은 전지(H01M), 전기장치 또는 추진장치의 배치(B60L), 동력 전달 장치의 배치(B60K) 분야에 연구개발이 집중되었으며, 현대자동차는 전지(H01M), 전기장치 또는 추진장치의 배치(B60L) 분야 이외에 운전제어시스템(B60W), 냉각(F01P) 분야의 연구가 다른 업체에 비해 활발한 것으로 나타났다.

• International Journal of Contents
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• v.12 no.3
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• pp.54-58
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• 2016

In this study, articles of the science and technology field that had been monitored for the period from 2002 to 2013 using GTB (Global Trends Briefing) were analyzed. Specifically, the VOSviewer was used to analyze the annual science and technology trends by keyword and the science and technology standard-classification information indicated in the GTB articles, and the convergence trends were therefore monitored. The findings of this study show that active studies were under way in the fields of material science and new and renewable energy, and that convergence has progressed. This result indicates that the information of the articles on papers and patents is more reliable, as it can reflect the current trends more rapidly in the science and technology field than the paper information or the patent information that is traditionally used in analyses of science and technology information.