• Title/Summary/Keyword: 특허 데이터

Search Result 344, Processing Time 0.029 seconds

Hardware Design of AES Cryptography Module Operating as Coprocessor of Core-A Microprocessor (Core-A 마이크로프로세서의 코프로세서로 동작하는 AES 암호모듈의 하드웨어 설계)

  • Ha, Chang-Soo;Choi, Byeong-Yoon
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.13 no.12
    • /
    • pp.2569-2578
    • /
    • 2009
  • Core-A microprocessor is the all-Korean product designed as 32-bit embedded RISC microprocessor developed by KAIST and supported by the Industrial Property Office. This paper analyze Core-A microprocessor architecture and proposes efficient method to interface Core-A microprocessor with coprocessor. To verify proposed interfacing method, the AES cryptography processor that has 128-bit key and block size is used as a coprocessor. Coprocessor and AES are written in Verilog-HDL and verified using Modelsim simulator. It except AES module consists of about 3,743 gates and its maximum operating frequency is about 90Mhz under 0.35um CMOS technology. The proposed coprocessor interface architecture is efficiency to send data or to receive data from Core-A to coprocessor.

The Study on the Analysis of Efficiency of Governmental R&D Programs Regarding to the S&T Outcomes (과학기술적 성과 관점에서 정부 R&D사업 효율성 분석에 관한 연구)

  • Park, Seok-Jong;Kim, Kyung-Hwa;Jeong, Sang-Ki
    • Journal of Korea Technology Innovation Society
    • /
    • v.14 no.2
    • /
    • pp.205-222
    • /
    • 2011
  • The Korean government continuously increases the R&D investment in order to pursue an economic growth through technological innovation. Hence, the intensity of governmental R&D has increased rapidly. However, the whole amount of the R&D investment is still small compared to developed countries. And the type of R&D policies is more and more changing from the catch-up model to the technology-driven model. Therefore, there is a growing interest in the efficiency of public R&D investment. Hence, many studies on the efficiency of R&D investment have been researched. This study estimated the efficiency of governmental R&D programs considering the technological outcomes, e.g. theses, patents and so on, using DEA(Data Envelopment Analysis) with data of S&T investment and outcomes from NTIS(National S&D Information Service). In addition, we used the Mann-Whitney Test to investigate the characteristics of governmental R&D investment.

  • PDF

The Effect of R&D Investment on Local Economies Using Dynamic Panel Estimator in Korea (동태적 Panel 분석을 통한 R&D투자의 지역효과 분석)

  • Yang, Ji-Chung
    • International Area Studies Review
    • /
    • v.18 no.3
    • /
    • pp.175-201
    • /
    • 2014
  • This paper analyses the effect of R&D investment on local economies. R&D investment contributes to the regional local economy by increasing employment and production activity of the investees. The investees may end up with increased productivity, sales and employment. At the regional R&D level, the central government R&D fund and firm self R&D budget will be the source of R&D investment. Further positive effects are inter-related with local industries. This study carried out an empirical analysis on the effect of R&D investment on local economies using Korean panel data after comparing international literatures. The dynamic panel estimator is used to estimate an autoregressive model with lagged dependent variable. Using the Da Silva method, mixed variance-component moving-average error process is estimated and selected. R&D investment is very important factor to improve the productivity of a region and the size of the effect is dependent on the time periods within the Korean economic history.

An Improvement study in Keyword-centralized academic information service - Based on Recommendation and Classification in NDSL - (키워드 중심 학술정보서비스 개선 연구 - NDSL 추천 및 분류를 중심으로 -)

  • Kim, Sun-Kyum;Kim, Wan-Jong;Lee, Tae-Seok;Bae, Su-Yeong
    • Journal of Korean Library and Information Science Society
    • /
    • v.49 no.4
    • /
    • pp.265-294
    • /
    • 2018
  • Nowadays, due to an explosive increase in information, information filtering is very important to provide proper information for users. Users hardly obtain scholarly information from a huge amount of information in NDSL of KISTI, except for simple search. In this paper, we propose the service, PIN to solve this problem. Pin provides the word cloud including analyzed users' and others' interesting, co-occurence, and searched keywords, rather than the existing word cloud simply consisting of all keywords and so offers user-customized papers, reports, patents, and trends. In addition, PIN gives the paper classification in NDSL according to keyword matching based classification with the overlapping classification enabled-academic classification system for better search and access to solve this problem. In this paper, Keywords are extracted according to the classification from papers published in Korean journals in 2016 to design classification model and we verify this model.

Technology Commercialization and Management Performance Analysis of Smart farm Venture companies (스마트팜 벤처기업의 기술사업화와 경영성과 분석)

  • Dae-Yu, Kim;Taiheoun Park;Won-Shik Na
    • Advanced Industrial SCIence
    • /
    • v.2 no.2
    • /
    • pp.25-30
    • /
    • 2023
  • The purpose of this study is to empirically analyze the impact of corporate innovation activities on corporate innovation performance using data from companies participating in the smart farm project. A company's innovation activities were divided into planning capacity, R&D capacity, and commercialization capacity, and the impact of each innovation activity on the company's sales and patent creation was estimated. The moderating effect was also analyzed. Regression analysis was conducted as a research method, and as a result of the analysis, it was found that planning capacity, R&D capacity, and commercialization capacity related to innovation within a company have an impact on corporate performance creation. appeared to be In order to increase the business performance of technology commercialization, it was confirmed that planning and R&D capabilities as well as governmental technology policy support are needed.

Enhancing Existing Products and Services Through the Discovery of Applicable Technology: Use of Patents and Trademarks (제품 및 서비스 개선을 위한 기술기회 발굴: 특허와 상표 데이터 활용)

  • Seoin Park;Jiho Lee;Seunghyun Lee;Janghyeok Yoon;Changho Son
    • Journal of Korean Society of Industrial and Systems Engineering
    • /
    • v.46 no.4
    • /
    • pp.1-14
    • /
    • 2023
  • As markets and industries continue to evolve rapidly, technology opportunity discovery (TOD) has become critical to a firm's survival. From a common consensus that TOD based on a firm's capabilities is a valuable method for small and medium-sized enterprises (SMEs) and reduces the risk of failure in technology development, studies for TOD based on a firm's capabilities have been actively conducted. However, previous studies mainly focused on a firm's technological capabilities and rarely on business capabilities. Since discovered technologies can create market value when utilized in a firm's business, a firm's current business capabilities should be considered in discovering technology opportunities. In this context, this study proposes a TOD method that considers both a firm's business and technological capabilities. To this end, this study uses patent data, which represents the firm's technological capabilities, and trademark data, which represents the firm's business capabilities. The proposed method comprises four steps: 1) Constructing firm technology and business capability matrices using patent classification codes and trademark similarity group codes; 2) Transforming the capability matrices to preference matrices using the fuzzy function; 3) Identifying a target firm's candidate technology opportunities using the collaborative filtering algorithm; 4) Recommending technology opportunities using a portfolio map constructed based on technology similarity and applicability indices. A case study is conducted on a security firm to determine the validity of the proposed method. The proposed method can assist SMEs that face resource constraints in identifying technology opportunities. Further, it can be used by firms that do not possess patents since the proposed method uncovers technology opportunities based on business capabilities.

A Study on Big Data Analysis of Related Patents in Smart Factories Using Topic Models and ChatGPT (토픽 모형과 ChatGPT를 활용한 스마트팩토리 연관 특허 빅데이터 분석에 관한 연구)

  • Sang-Gook Kim;Minyoung Yun;Taehoon Kwon;Jung Sun Lim
    • Journal of Korean Society of Industrial and Systems Engineering
    • /
    • v.46 no.4
    • /
    • pp.15-31
    • /
    • 2023
  • In this study, we propose a novel approach to analyze big data related to patents in the field of smart factories, utilizing the Latent Dirichlet Allocation (LDA) topic modeling method and the generative artificial intelligence technology, ChatGPT. Our method includes extracting valuable insights from a large data-set of associated patents using LDA to identify latent topics and their corresponding patent documents. Additionally, we validate the suitability of the topics generated using generative AI technology and review the results with domain experts. We also employ the powerful big data analysis tool, KNIME, to preprocess and visualize the patent data, facilitating a better understanding of the global patent landscape and enabling a comparative analysis with the domestic patent environment. In order to explore quantitative and qualitative comparative advantages at this juncture, we have selected six indicators for conducting a quantitative analysis. Consequently, our approach allows us to explore the distinctive characteristics and investment directions of individual countries in the context of research and development and commercialization, based on a global-scale patent analysis in the field of smart factories. We anticipate that our findings, based on the analysis of global patent data in the field of smart factories, will serve as vital guidance for determining individual countries' directions in research and development investment. Furthermore, we propose a novel utilization of GhatGPT as a tool for validating the suitability of selected topics for policy makers who must choose topics across various scientific and technological domains.

Study on 3D Printer Suitable for Character Merchandise Production Training (캐릭터 상품 제작 교육에 적합한 3D프린터 연구)

  • Kwon, Dong-Hyun
    • Cartoon and Animation Studies
    • /
    • s.41
    • /
    • pp.455-486
    • /
    • 2015
  • The 3D printing technology, which started from the patent registration in 1986, was a technology that did not attract attention other than from some companies, due to the lack of awareness at the time. However, today, as expiring patents are appearing after the passage of 20 years, the price of 3D printers have decreased to the level of allowing purchase by individuals and the technology is attracting attention from industries, in addition to the general public, such as by naturally accepting 3D and to share 3D data, based on the generalization of online information exchange and improvement of computer performance. The production capability of 3D printers, which is based on digital data enabling digital transmission and revision and supplementation or production manufacturing not requiring molding, may provide a groundbreaking change to the process of manufacturing, and may attain the same effect in the character merchandise sector. Using a 3D printer is becoming a necessity in various figure merchandise productions which are in the forefront of the kidult culture that is recently gaining attention, and when predicting the demand by the industrial sites related to such character merchandise and when considering the more inexpensive price due to the expiration of patents and sharing of technology, expanding opportunities and sectors of employment and cultivating manpower that are able to engage in further creative work seems as a must, by introducing education courses cultivating manpower that can utilize 3D printers at the education field. However, there are limits in the information that can be obtained when seeking to introduce 3D printers in school education. Because the press or information media only mentions general information, such as the growth of the industrial size or prosperous future value of 3D printers, the research level of the academic world also remains at the level of organizing contents in an introductory level, such as by analyzing data on industrial size, analyzing the applicable scope in the industry, or introducing the printing technology. Such lack of information gives rise to problems at the education site. There would be no choice but to incur temporal and opportunity expenses, since the technology would only be able to be used after going through trials and errors, by first introducing the technology without examining the actual information, such as through comparing the strengths and weaknesses. In particular, if an expensive equipment introduced does not suit the features of school education, the loss costs would be significant. This research targeted general users without a technology-related basis, instead of specialists. By comparing the strengths and weaknesses and analyzing the problems and matters requiring notice upon use, pursuant to the representative technologies, instead of merely introducing the 3D printer technology as had been done previously, this research sought to explain the types of features that a 3D printer should have, in particular, when required in education relating to the development of figure merchandise as an optional cultural contents at cartoon-related departments, and sought to provide information that can be of practical help when seeking to provide education using 3D printers in the future. In the main body, the technologies were explained by making a classification based on a new perspective, such as the buttress method, types of materials, two-dimensional printing method, and three-dimensional printing method. The reason for selecting such different classification method was to easily allow mutual comparison of the practical problems upon use. In conclusion, the most suitable 3D printer was selected as the printer in the FDM method, which is comparatively cheap and requires low repair and maintenance cost and low materials expenses, although rather insufficient in the quality of outputs, and a recommendation was made, in addition, to select an entity that is supportive in providing technical support.

A Study on the Research Trends in Fintech using Topic Modeling (토픽 모델링을 이용한 핀테크 기술 동향 분석)

  • Kim, TaeKyung;Choi, HoeRyeon;Lee, HongChul
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.17 no.11
    • /
    • pp.670-681
    • /
    • 2016
  • Recently, based on Internet and mobile environments, the Fintech industry that fuses finance and IT together has been rapidly growing and Fintech services armed with simplicity and convenience have been leading the conversion of all financial services into online and mobile services. However, despite the rapid growth of the Fintech industry, few studies have classified Fintech technologies into detailed technologies, analyzed the technology development trends of major market countries, and supported technology planning. In this respect, using Fintech technological data in the form of unstructured data, the present study extracts and defines detailed Fintech technologies through the topic modeling technique. Thereafter, hot and cold topics of the derived detailed Fintech technologies are identified to determine the trend of Fintech technologies. In addition, the trends of technology development in the USA, South Korea, and China, which are major market countries for major Fintech industrial technologies, are analyzed. Finally, through the analyses of networks between detailed Fintech technologies, linkages between the technologies are examined. The trends of Fintech industrial technologies identified in the present study are expected to be effectively utilized for the establishment of policies in the area of the Fintech industry and Fintech related enterprises' establishment of technology strategies.

Models of Database Assets Valuation and their Life-cycle Determination (데이터베이스 자산 가치평가 모형과 수명주기 결정)

  • Sung, Tae-Eung;Byun, Jeongeun;Park, Hyun-Woo
    • The Journal of the Korea Contents Association
    • /
    • v.16 no.3
    • /
    • pp.676-693
    • /
    • 2016
  • Although the methodology and models to assess the economic value of technology assets such as patents are being presented in various ways, there does not exist a structured assessment model which enables to objectively assess a database property's value, and thus there is a need to enhance the application feasibility of practical purposes such as licensing of DB assets, commercialization transfer, security, etc., through the establishment of the valuation model and the life-cycle decision logic. In this study, during the valuation process of DB assets, the size of customer demand group expected and the amount of demand, the size and importance of data sets, the approximate degree of database' contribution to the sales performance of a company, the life-cycle of database assets, etc. will be analyzed whether they are appropriate as input variables or not. As for most of DB assets, due to irregular updates there are hardly cases their life-cycle expires, and thus software package's persisting period, ie. 5 years, is often considered the standard. We herein propose the life-cycle estimation logic and valuation models of DB assets based on the concept of half life for DB usage frequency under the condition that DB assets' value decays and there occurs no data update over time.