• Title/Summary/Keyword: Patent trends analysis

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The Patent Analysis of the Treatment Technology of Asbestos Wastes (석면 폐기물 처리 특허기술 분석)

  • Kim, Jong-Heon;Cho, Jin-Dong;Lee, Sang-Kwon;Cha, Seong-Ki
    • Economic and Environmental Geology
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    • v.44 no.5
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    • pp.451-462
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    • 2011
  • Asbestos or its applications have been used for long times and for various purposes in our life because of their merits, namely fire resistance, electric insulation and chemical resistance capacity etc. Despite of theses many merits, one of the problems of asbestos is shown toxicity according to its fiber type. So we need data to solve about this problem. In this paper, we study on the technical method of asbestos waste treatment and on the trends of asbestos researches and developments by the analysis of its patents and DWPI database materials. As a result, the asbestos-waste treatment data in the its related patents is used 267 cases to analyze. These data are divided into 86(32.5%) cases of solid waste disposal(B09B). 41(16.6%) cases of separation(B01D) and 27(10.2%) of lime, magnesia, slag, cement and their composites(C04B).

Trend on Recycling Technologies of Tin Scrap by Material Flows and Patent Analysis (물질흐름 및 특허분석을 통한 주석 스크랩 재활용 기술 동향)

  • Kim, Yong Hwan;Son, Seong Ho;Choi, Han Shin;Han, Chul Woong;Kim, Tae Bum;Ahn, Jae Woo;Kim, Hong In;Lee, Ki Woong
    • Resources Recycling
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    • v.23 no.3
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    • pp.61-70
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    • 2014
  • Tin has been widely used to solder, tin plated steel, bronze alloy, sputtering target for transparent electrode and chemical additives. It has been widely reported to the recycling technologies for tin scraps because of the scarcity and economic efficiency of the reserve. This study was analyzed by using open/registered patents KR, US, CN, JP and EP related to recycling technologies for processing scrap, sludges, waste fluid for plating process and spent alloy containing tin in between 1970 and 2013. Patents were collected using key-words searching and filtered by filtering criteria. The trends of the patents were analyzed by year, country, appliant and technology.

Analysis on trends of moxibustion patents (뜸 특허기술 동향분석)

  • Shin, Mi-Suk;Han, Chang-Hyun;Park, Sun-Hee;Choi, Sun-Mi
    • Korean Journal of Oriental Medicine
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    • v.13 no.2 s.20
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    • pp.113-120
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    • 2007
  • Objectives : This study was conducted to collect the basic data for the developments of moxibustion related technique and the efficient promotion of moxibustion research. Methods : We have analysed the moxibustion associated patents application informations searching by WIPS company. We searched and analyzed the total of 1.770 data base from the year 1976 to July, 2006. Results : Korea is mostly superior compared to the others in number of domestic patents. Korean applicant was as frequent as 1066 subjects(80%) of nationality. The most common field of patents was 'moxibustion body' 587 subjects(26%), 'heating material' 495 subjects(23%), 'heating control' 96 subjects(4%). 'manufacture method' 78 subjects(3%), 'etc'(3%). The most common applicant of moxibustion patents was Yu Tae Woo(131subjects). Kim Geun Sik(50subjects), Most moxibustion material and device was wormwood, wormwood moxibustion device. Conclusion : Moxibustion technological development is being recognized as a core capability of competitive advantage for sustainable growth of international alternative medicine. We are in need of inspecting the patents. We will have to work up for strengthen the competitiveness of Korea moxibustion patents.

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A Study on the Structure of the Front Middle Part of Men's Underwear - Focusing on Analysis of Patents for Men's Underwear - (남성 팬티 전면 중앙부의 구조에 대한 연구 - 남성 팬티의 특허 분석을 중심으로 -)

  • Lee, Jung-Soon
    • Journal of the Korea Fashion and Costume Design Association
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    • v.18 no.3
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    • pp.71-83
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    • 2016
  • This study attempted to analyze trends of structural changes in the front middle part of men's underwear and get basic data for the development of men's underwear patterns. In terms of a research method, the structure and pattern of the front middle part of men's underwear were analyzed by referring to the design and description of the drawing, focusing on men's underwear which targeted to isolate penis from scrotum among the 'men's underwear' or 'functional men's underwear'-related patents. According to the study, three topics were obtained as follows: a support attached to the inside of the front middle part; inner cloth attached to the inside of the front middle part; change in the structure of the front middle panel. The aspects by the specific topic targeted to isolate penis from scrotum and prevent the scrotum from adhered to a thigh are as follows: 1) When a support is attached to the inside of the front middle part, the following three methods are proposed: Penis isolated from scrotum by a rest which is designed using the band; penis and scrotum rested in the band and in a pocket respectively; protruded rest inside the front middle part of the underwear. 2) When an inner cloth is attached to the inside of the front middle part, the following methods are designed: A pocket-type inner cloth is attached; isolation of penis hole from the scrotum pocket using a rectangular separator; U-shaped pocket designed to rest penis and scrotum is attached. 3) Regarding change in the structure of the front middle panel, the integration of penis and scrotum resting parts can be divided into two cases: Securing a space using wrinkles; keeping it voluminous using the vertical line. In this all-in-one penis and scrotum-holding type, in addition, different front panel patterns were applied.

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Trend on Recycling Technologies for Display Wastes analysed by the Patents and Literature Review (특허(特許)와 논문(論文)으로 본 폐(廢) 디스플레이 재활용(再活用) 기술(技術) 동향(動向))

  • Lee, Sung-Kyu;Lee, Chan-Gi;Hong, Hyun-Seon;Cho, Young-Ju;Cho, Bong-Gyoo
    • Resources Recycling
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    • v.21 no.3
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    • pp.65-73
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    • 2012
  • There are several kinds of displays such as liquid crystal display (LCD), cathode ray tube (CRT), plasma display panel(PDP), light emitting diode (LED), organic light emitting diode (OLED), etc. Nowadays, recycling technologies of waste displays have been widely studied from economy and efficiency points of view. In this paper, patents and literature on the recycling technologies of the waste displays have been comprehensively analyzed. The search was limited to the open patents of USA (US), European Union (EU), Japan (JP), and Korea (KR) and SCI journals published from 1980 to 2011. Patents and journals were systematically compiled and collected using key-words search and filtered by pre-set filtering criteria. The trends of the patents and journals were thus analyzed according to the years, countries, companies, and technologies.

A Study on the Development Trends of Wastewater Sludge Treatment Technology (하·폐수 슬러지 처리기술의 개발 동향에 관한 연구)

  • Lee, Chaeyoung;Chung, Woojin;Kim, Jitae
    • Journal of the Korean GEO-environmental Society
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    • v.17 no.8
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    • pp.5-15
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    • 2016
  • As the increase of domestic sewage treatment plant and reinforcement of the standard of effluent water quality continues, the volumes of sewage sludge are consistently increasing. Existing treatment of sewage sludge, such as incineration and ocean dumping has been prohibited because of air pollution and prohibitions towards ocean dumping, and in turn, recycling and energy recovery from waste methods have being studied recently. However, the lack of technical level and systematic analyses of application technique are problems, that future analysis of such relative technique would be required. The present study has been investigated as follows, management technique of sludge, patent on refuse-derived fuel and increase biogas production and utilizable technology, trend of research paper. Furthermore, research development from five developed nations (Korea, Japan, China, United States, and United Kingdom), domestic and foreign have been investigated and analyzed by section. In this study, the future technical field which is required for effective management of sludge has been suggested.

Home training trend analysis using newspaper big data and keyword analysis (신문 빅데이터와 키워드 분석을 이용한 홈트레이닝 트렌드 분석)

  • Chi, Dong-Cheol;Kim, Sang-Ho
    • Journal of the Korea Convergence Society
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    • v.12 no.6
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    • pp.233-239
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    • 2021
  • Recently, the COVID-19 virus has caused people to stay indoors longer without going out. As a result of this, people's activity decreased sharply, and their weight gained. So people became more interested in health. Home training can be an alternative method to solve this problem. Accordingly, To find out the trends of home training, we collected articles from December 1, 2019, to November 30, 2020, using the news provided by BIG KINDS, a news analysis system. We analyzed frequency analysis, relational analysis according to weighting, and related word analysis with the program using the algorithm developed by BIG KINDS. In conclusion, first, it was found that home training is led by technology and the emergence of artificial intelligence. Second, it can be assumed that people mainly do home training using content and video services related to mobile carriers. Third, people had a high preference for Pilates in the sports category. It can be seen that the number of patent applications increased as the demand for exercise products related to Pilates increased. In the next study, we expect that this study will be used as primary data for various big data studies by supplementing the research methodology and conducting various analyses.

A Study on AI Evolution Trend based on Topic Frame Modeling (인공지능발달 토픽 프레임 연구 -계열화(seriation)와 통합화(skeumorph)의 사회구성주의 중심으로-)

  • Kweon, Sang-Hee;Cha, Hyeon-Ju
    • The Journal of the Korea Contents Association
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    • v.20 no.7
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    • pp.66-85
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    • 2020
  • The purpose of this study is to explain and predict trends the AI development process based on AI technology patents (total) and AI reporting frames in major newspapers. To that end, a summary of South Korean and U.S. technology patents filed over the past nine years and the AI (Artificial Intelligence) news text of major domestic newspapers were analyzed. In this study, Topic Modeling and Time Series Return Analysis using Big Data were used, and additional network agenda correlation and regression analysis techniques were used. First, the results of this study were confirmed in the order of artificial intelligence and algorithm 5G (hot AI technology) in the AI technical patent summary, and in the news report, AI industrial application and data analysis market application were confirmed in the order, indicating the trend of reporting on AI's social culture. Second, as a result of the time series regression analysis, the social and cultural use of AI and the start of industrial application were derived from the rising trend topics. The downward trend was centered on system and hardware technology. Third, QAP analysis using correlation and regression relationship showed a high correlation between AI technology patents and news reporting frames. Through this, AI technology patents and news reporting frames have tended to be socially constructed by the determinants of media discourse in AI development.

Development of the KnowledgeMatrix as an Informetric Analysis System (계량정보분석시스템으로서의 KnowledgeMatrix 개발)

  • Lee, Bang-Rae;Yeo, Woon-Dong;Lee, June-Young;Lee, Chang-Hoan;Kwon, Oh-Jin;Moon, Yeong-Ho
    • The Journal of the Korea Contents Association
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    • v.8 no.1
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    • pp.68-74
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    • 2008
  • Application areas of Knowledge Discovery in Database(KDD) have been expanded to many R&D management processes including technology trends analysis, forecasting and evaluation etc. Established research field such as informetrics (or scientometrics) has utilized techniques or methods of KDD. Various systems have been developed to support works of analyzing large-scale R&D related databases such as patent DB or bibliographic DB by a few researchers or institutions. But extant systems have some problems for korean users to use. Their prices is not moderate, korean language processing is impossible, and user's demands not reflected. To solve these problems, Korea Institute of Science and Technology Information(KISTI) developed stand-alone type information analysis system named as KnowledgeMatrix. KnowledgeMatrix system offer various functions to analyze retrieved data set from databases. KnowledgeMatrix's main operation unit is composed of user-defined lists and matrix generation, cluster analysis, visualization, data pre-processing. Matrix generation unit help extract information items which will be analyzed, and calculate occurrence, co-occurrence, proximity of the items. Cluster analysis unit enable matrix data to be clustered by hierarchical or non-hierarchical clustering methods and present tree-type structure of clustered data. Visualization unit offer various methods such as chart, FDP, strategic diagram and PFNet. Data pre-processing unit consists of data import editor, string editor, thesaurus editor, grouping method, field-refining methods and sub-dataset generation methods. KnowledgeMatrix show better performances and offer more various functions than extant systems.

A Study on Intelligent Value Chain Network System based on Firms' Information (기업정보 기반 지능형 밸류체인 네트워크 시스템에 관한 연구)

  • Sung, Tae-Eung;Kim, Kang-Hoe;Moon, Young-Su;Lee, Ho-Shin
    • Journal of Intelligence and Information Systems
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    • v.24 no.3
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    • pp.67-88
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    • 2018
  • Until recently, as we recognize the significance of sustainable growth and competitiveness of small-and-medium sized enterprises (SMEs), governmental support for tangible resources such as R&D, manpower, funds, etc. has been mainly provided. However, it is also true that the inefficiency of support systems such as underestimated or redundant support has been raised because there exist conflicting policies in terms of appropriateness, effectiveness and efficiency of business support. From the perspective of the government or a company, we believe that due to limited resources of SMEs technology development and capacity enhancement through collaboration with external sources is the basis for creating competitive advantage for companies, and also emphasize value creation activities for it. This is why value chain network analysis is necessary in order to analyze inter-company deal relationships from a series of value chains and visualize results through establishing knowledge ecosystems at the corporate level. There exist Technology Opportunity Discovery (TOD) system that provides information on relevant products or technology status of companies with patents through retrievals over patent, product, or company name, CRETOP and KISLINE which both allow to view company (financial) information and credit information, but there exists no online system that provides a list of similar (competitive) companies based on the analysis of value chain network or information on potential clients or demanders that can have business deals in future. Therefore, we focus on the "Value Chain Network System (VCNS)", a support partner for planning the corporate business strategy developed and managed by KISTI, and investigate the types of embedded network-based analysis modules, databases (D/Bs) to support them, and how to utilize the system efficiently. Further we explore the function of network visualization in intelligent value chain analysis system which becomes the core information to understand industrial structure ystem and to develop a company's new product development. In order for a company to have the competitive superiority over other companies, it is necessary to identify who are the competitors with patents or products currently being produced, and searching for similar companies or competitors by each type of industry is the key to securing competitiveness in the commercialization of the target company. In addition, transaction information, which becomes business activity between companies, plays an important role in providing information regarding potential customers when both parties enter similar fields together. Identifying a competitor at the enterprise or industry level by using a network map based on such inter-company sales information can be implemented as a core module of value chain analysis. The Value Chain Network System (VCNS) combines the concepts of value chain and industrial structure analysis with corporate information simply collected to date, so that it can grasp not only the market competition situation of individual companies but also the value chain relationship of a specific industry. Especially, it can be useful as an information analysis tool at the corporate level such as identification of industry structure, identification of competitor trends, analysis of competitors, locating suppliers (sellers) and demanders (buyers), industry trends by item, finding promising items, finding new entrants, finding core companies and items by value chain, and recognizing the patents with corresponding companies, etc. In addition, based on the objectivity and reliability of the analysis results from transaction deals information and financial data, it is expected that value chain network system will be utilized for various purposes such as information support for business evaluation, R&D decision support and mid-term or short-term demand forecasting, in particular to more than 15,000 member companies in Korea, employees in R&D service sectors government-funded research institutes and public organizations. In order to strengthen business competitiveness of companies, technology, patent and market information have been provided so far mainly by government agencies and private research-and-development service companies. This service has been presented in frames of patent analysis (mainly for rating, quantitative analysis) or market analysis (for market prediction and demand forecasting based on market reports). However, there was a limitation to solving the lack of information, which is one of the difficulties that firms in Korea often face in the stage of commercialization. In particular, it is much more difficult to obtain information about competitors and potential candidates. In this study, the real-time value chain analysis and visualization service module based on the proposed network map and the data in hands is compared with the expected market share, estimated sales volume, contact information (which implies potential suppliers for raw material / parts, and potential demanders for complete products / modules). In future research, we intend to carry out the in-depth research for further investigating the indices of competitive factors through participation of research subjects and newly developing competitive indices for competitors or substitute items, and to additively promoting with data mining techniques and algorithms for improving the performance of VCNS.