• Agribusiness and Information Management
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• v.6 no.2
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• pp.40-48
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• 2014

As basic research to develop HEV and EV agricultural field machinery, the present study analyzes the technical trend of electric agricultural field machinery through product analysis, paper analysis, and patent analysis concerning HEV and EV in the automobile, construction machinery, and agricultural machinery sectors. For product analysis, the homepages of companies in these sectors were consulted to analyze the number of products of each company. For paper analysis, key words related to HEV and EV were selected, a search formula was drawn up, and articles search sites were consulted. And for patent analysis too, key words were selected and then a search formula was drawn up to examine published patent applications or registered patent applications, and trends were analyzed by structure, country, and year. The number of HEV and EV products were 17 in the automobile area, 8 in construction machinery, and 4 in agricultural machinery. Notably, in the agricultural machinery area, all HEV and EV products were from advanced companies overseas. In terms of papers, papers published in the past 5 years were searched and 33,195 papers were from the automobile area, 3,806 were from construction machinery, and 2,687, the fewest papers, were from the agricultural machinery area. A search of patents in the electric drive technology area in Korea, USA, and Japan, and Europe showed 1,927 valid patents, with 1,120 in Japan, 497 in USA, 193 in Korea, and 117 in Europe. Analysis of the trend of research on electric agricultural field machinery by product, paper, and patent shows the development of HEV and EV technology in Korea is insufficient compared to USA, Japan, and Europe, which means rapid technological development is needed.

• Journal of the Korea Society of Computer and Information
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• v.23 no.4
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• pp.9-16
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• 2018

In this paper, we propose wide range of categorizes Artificial Intelligence technology as Learning, Inference, and Cognitive. Also, it analyzes 758 cases of open patents. For an analysis, target technologies were selected and categorized into specific areas to collect information about the patents. After removing noise, the patent information for each technology such as patent assignees and IPC code, was analyzed to evaluate the maturity of technology, the way ahead for research and development and the trends in core technology. This research presents directions of Artificial intelligence technology research and trend analysis of core Artificial Intelligent technology using quantitative analysis of patent information. Also Artificial intelligence technology requires technological development necessity through close cooperation in diverse fields.

• Journal of Korean Society for Quality Management
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• v.50 no.1
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• pp.21-33
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• 2022

Purpose: As most defense technologies are classified as confidential, the corresponding International Patent Classifications (IPCs) require special attention. Consequently, the list of defense-related IPCs has been managed by the government. This paper aims to evaluate the defense-related IPCs and propose a methodology to revalidate and improve the IPC classification scheme. Methods: The patents in military technology and their corresponding IPCs during 2009~2020 were utilized in this paper. Prior to the analysis, patents are divided into private and public sectors. Social network analysis was used to analyze the convergence structure and central defense technology, and association rule mining analysis was used to analyze the convergence pattern. Results: While the public sector was highly cohesive, the private sector was characterized by easy convergence between technologies. In addition, narrow convergence was observed in the public sector, and wide convergence was observed in the private sector. As a result of analyzing the core technologies of defense technology, defense-related IPC candidates were identified. Conclusion: This paper presents a comprehensive perspective on the structure of convergence of defense technology and the pattern of convergence. It is also significant because it proposed a method for revising defense-related IPCs. The results of this study are expected to be used as guidelines for preparing amendments to the government's defense-related IPC.

• Journal of the Korea Safety Management & Science
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• v.15 no.4
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• pp.407-416
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• 2013

This paper proposes an approach to analyzing the relationship between technology and services, and to identifying promising service areas for technology-based firms with the analysis of business model (BM) patents. First, BM patents and technology patents are collected and classified into their relevant categories, respectively. Second, patent citation analysis is conducted to analyze the linkage and impacts between each technology and service field at macro level. Third, as a micro level analysis, patent co-classification analysis is employed to identify the interrelationships among specific technology and service areas. Finally, the promising service areas for technology-based firms seeking service areas for diversification is investigated with portfolio analysis. The working of the proposed approach is provided with the help of a case study of IT and mobile services. The proposed approach could guide and help managers of technology-based firms to discover the opportunity of the diversification to new areas in emerging service fields.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.10 no.1
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• pp.117-124
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• 2017

In this paper, we analyzed the technology competitiveness of main competitors based on the patent trend analysis for beauty instruments fields, and drew up the patent reserve strategy and patent portfolio for project related technologies according to technical trends analysis. Using the analysis result of patent portfolio to establish the strategic IP based research and development plans, the patent wall and gap areas are suggested, And, based on the basic information to set up the direction of research and development, we intend to provide objective patent information for the feasibility of conducting research and development tasks and for the avoidance of duplication research.

• 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 Institute of Information and Commucation Sciences Conference
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• 1999.11a
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• pp.53-59
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• 1999

A Patent Pool tends to be activated to establish the harmonization in recently standardization activities related to information and telecommunications with patent rights. Recent main examples of patent pool related to telecommunications standardization are concentrated in this paper. We seem to examine the practical meanings of patent pool from review the examples of utilizing patent pool. Those examples are analyzed and presented in this paper as typical construction cases of patent pool by characteristic of formation : The MPEG-2 patent pool which has become a pioneering precedence being managed by establishing MPEG LA as professional and administrative entity having organizied scalef; DVD patent pool which is a type of dividied case of a patent pool; the patent pool of IEEE1394 which was formed by surronding technology market effect outside the entrepreneur; finally the UMTS case in mobile telecommunications area.

• Biomedical Science Letters
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• v.17 no.2
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• pp.95-104
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• 2011

The development of a general appreciation for the central role of angiogenesis in cancer growth and metastasis and other disease status has led to a wide range of new therapeutic strategies. This paper reviews the domestic and international trends through technology, marketing and patent information analysis dealing with anti-angiogenic agents. This analytical research has led to the identification of new targets associated with angiogenesis, leading to the development of an extensive number of preclinical screening of antiangiogenetic agents.

• Journal of the Korea Society of Computer and Information
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• v.27 no.8
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• pp.143-149
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• 2022

Since patent documents contain detailed results of research and development technologies, many studies on various patent analysis methods for effective technology analysis have been conducted. In particular, research on quantitative patent analysis by statistics and machine learning algorithms has been actively conducted recently. The most used patent data in quantitative patent analysis is technology keywords. Most of the existing methods for analyzing the keyword data were models based on the Gaussian probability distribution with random variable on real space from negative infinity to positive infinity. In this paper, we propose a model using gamma probability distribution to analyze the frequency data of patent keywords that can theoretically have values from zero to positive infinity. In addition, in order to determine the regression equation of the gamma-based regression model, two-mode network is constructed to visualize the technological association between keywords. Practical patent data is collected and analyzed for performance evaluation between the proposed method and the existing Gaussian-based analysis models.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.15 no.5
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• pp.413-422
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• 2022

Smart farms are receiving a lot of attention as a way to solve the chronic labor shortage and aging problems in agriculture. The smart farm industry, called the 6th industrial revolution, needs to strengthen its competitiveness. In order to apply innovative IT technology to agriculture, it is important to collect and analyze information about prior research or patents. This paper examines smart farm patent trends through 5,789 patent data related to smart farm using the domestic patent information search service(KIPRIS). This paper examines the domestic patent trends of smart farm information through keyword network, ego network, simultaneous appearance network, and bigram network analysis. As a result of network analysis related to smart farm patents, patents related to smart farm systems and control technologies were the most common. This paper can provide help in setting the direction of future smart farm-related patent research.