• 발명특허
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• v.30 no.3 s.345
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• pp.38-43
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• 2005

본 연구는 특허출원인을 출원 주체별로 구분하고 특허데이터의 특성을 고려함과 아울러 최근 연도의 특허활동을 대상으로 경제적 효과를 분석

• The Korean Journal of Applied Statistics
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• v.29 no.6
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• pp.1025-1039
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• 2016

We introduce various methods to investigate the relations between innovation of technology and social changes by analyzing more than 4 millions of patents registered at United States Patent and Trademark Office(USPTO) from year 1985 to 2015. First, we review the history of patent law and its relation with the quantitative changes of registered patents. Second, we investigate the differences of technical innovations of several countries by use of cluster analysis based on the numbers of registered patents at several technical sectors. Third, we introduce the PageRank algorithm to define important nodes in network type data and apply the PageRank algorithm to find important technical sectors based on citation information between registered patents. Finally, we explain how to use the canonical correlation analysis to study relationship between technical innovation and social changes.

• Journal of Digital Contents Society
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• v.19 no.3
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• pp.529-535
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• 2018

Data is explosively growing, but many companies are still using data analysis only for descriptive analysis or diagnostic analysis, and not appropriately for predictive analysis or enterprise technology strategy analysis. In this study, we analyze the structured & unstructured patent data such as IPC code, inventor, filing date and so on by using big data analysis techniques such as network analysis and TF-IDF. Through this analysis, we propose analysis process to understand the core technology and technology distribution of competitors and prove it through data analysis.

• Journal of Information Technology and Architecture
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• v.11 no.4
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• pp.495-504
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• 2014

This paper present a strategy of intellectual property acquisition and core technology development direction using analysis of 2D to 3D video conversion technology patent data. As a result of analysis of trends in patent 2D to 3D technology, it is very promising technology field. Using a strategic patent map using research of patent trend, you will keep ahead of the competition in 2D3D image data conversion market.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.165-172
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• 2017

In this paper, we analyze the research / technology trends of electric vehicles from 2001 to 2014, through keyword analysis using paper data published in SCIE or SSCI Journal on electric vehicles, time series analysis using patent data by IPC, and network analysis using nodeXL. also we predicted promising technologies of electric vehicles using one of the prediction methods, weighted moving average method. As a result of this study, battery technology among the electric vehicle component technologies appeared as a promising technology.

• Communications for Statistical Applications and Methods
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• v.17 no.2
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• pp.205-222
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• 2010

A patent is a right of intellectual properties to an inventor or its assignee for a limited period under an international law. Not only in an invention of new machines, but it is competitive for using and creating technology in the world based on the patents. Most of the business models are good examples for patented technology, however a statistical analyzing model could be another one. In this paper we study and analyze the patents for the statistical analyzing and data mining models which are currently applied and registered, and suggest a statistical tool for analyzing and categorizing patent data. For this study all the patents in Korea and U.S. are listed and searched to sample the only cases concerning statistics.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.9
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• pp.355-360
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• 2014

Forecasting of emerging technology plays important roles in business strategy and R&D investment. There are various ways for technology forecasting including patent analysis. Qualitative analysis methods through experts' evaluations and opinions have been mainly used for technology forecasting using patents. However qualitative methods do not assure objectivity of analysis results and requires high cost and long time. To make up for the weaknesses, we are able to analyze patent data quantitatively and statistically by using text mining technique. In this paper, we suggest a new method of technology forecasting using text mining and ARIMA analysis.

• Journal of Korea Technology Innovation Society
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• v.15 no.1
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• pp.105-128
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• 2012

This paper proposes the technological level assessment which improved reliability and the efficient noise elimination methods in the process of establishing patent map analysis data. In order to eliminate efficiently noise (removed by the manual process in the past), the paper applies the Logical Operator 'AND', makes it a program in excel VBA(Visual Basic Application), and obtains the valid data. For the improved reliability technological level assessment of the patents, the study calculates average number of claims, Patent Family Size(PFS), Cites Per Patent (CPP), Triad Patent Families, Standardization Patent Diversification Index (stdPCPI), and haF-index(Hirsch a Family index). The result which applied noise exclusion work showed less than 10% of acquired patent data ratio and confirmed high reliability. The result that apply proposed technological level assessment index makes sure that balanced technological level assessment which improved reliability by producing synthetic technological level assessment.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10a
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• pp.43-45
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• 2001

NCBI 의 GenBank 데이터베이스는 전세계에서 수집된 염기 서열 데이터들의 집합이며, 그 중 특허로 등록되어 있는 데이터들을 GenBank 특허 데이터라 부른다. 본 논문에서는 한국생명공학연구원의 유전체 사업단에서 개발해 오고 있는 웹기반 GenBank 특허 데이터 검색 시스템의 설계와 구현에 대해서 설명한다. 본 시스템은 일반 속성(attribute)을 저장하고 검색하기 위해 DBMS 를 사용하고, DNA 시퀸스 검색을 위해 BLAST를 사용한 약결합 아키텍쳐(loosely-coupled architecture)를 채택하고 있다. 즉, 일반 속성으로 저장될 수 있는 데이터들은 데이터베이스의 테이블들의 컬럼 값으로 저장하고 SQL 언어를 통해 검색할 수 있도록 하였으며, DNA 시퀸스 검색을 위해서는 BLAST 에서 제공하는 인덱스를 구축하고 BLAST 명령어를 사용하여 검색할 수 있도록 하였다. 또한, 검색 결과들이 기존의 외부 특허 시스템과 연동하도록 하기 위해, 결과 분석 모듈을 구현하여 검색 결과들이 다른 웹 사이트의 데이터를 가리키도록 하였다. 마지막으로, 이러한 DNA 검색 시스템을 구현할 때에 고려해 되야 되는 이슈들을 설명한다.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.1
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• pp.100-105
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• 2011

Needs of intelligent system has risen continuously to solve given problem optimally using learning and reasoning. This system has performed important roles in diverse fields for improving the human-life quality in past, present, and future. So, it is important to analyze the trend of technology forecasting for the intelligent system. In this paper, we propose a patent analysis method for technology forecasting of the intelligent system using objective patent data. To verify our study, we use the patent data applied and registered until now.