• 제목/요약/키워드: R&D Trends

Search Result 590, Processing Time 0.024 seconds

Review on Characterization Method and Recent Research Trend about Metal Powder for Powder Bed Fusion (PBF) Process (금속 Powder Bed Fusion(PBF) 공정용 분말의 특성평가 방법 및 관련 연구 동향)

  • Lee, Bin;Kim, Dae-Kyeom;Kim, Young Il;Kim, Do Hoon;Son, Yong;Park, Kyoung-Tae;Kim, Taek-Soo
    • Journal of Powder Materials
    • /
    • v.27 no.6
    • /
    • pp.509-519
    • /
    • 2020
  • A well-established characterization method is required in powder bed fusion (PBF) metal additive manufacturing, where metal powder is used. The characterization methods from the traditional powder metallurgy process are still being used. However, it is necessary to develop advanced methods of property evaluation with the advances in additive manufacturing technology. In this article, the characterization methods of powders for metal PBF are reviewed, and the recent research trends are introduced. Standardization status and specifications for metal powder for the PBF process which published by the ISO, ASTM, and MPIF are also covered. The establishment of powder characterization methods are expected to contribute to the metal powder industry and the advancement of additive manufacturing technology through the creation of related databases.

Research Trends and Future Directions for R&D Vitalization of Domestic Dairy Industry (국내 유가공산업의 R&D활성화를 위한 연구 동향과 방향)

  • Yoon, Sung-Sik
    • Journal of Dairy Science and Biotechnology
    • /
    • v.29 no.1
    • /
    • pp.23-31
    • /
    • 2011
  • Domestic dairy industry is now standing at the crossroad for planning next fifty years, mainly because economic and environmental situations surrounding Korean peninsula are fast changing. For the aspects of dairy consumption, fresh milk consumed less, while consumption of the other milk and dairy products is slightly increasing every year. In 2010, it is approximately estimated that 1,939,000 tons of raw milk was used and the supply would be short by about 35,000 tons, based on the amounts in the previous year. Currently, multilateral negotiations against US and EU are underway. When it will be in effect in the future, significant damage would be expected in the dairy and livestock sectors, leading to cut domestic milk supply. Quality of farm-gate milk is graded as 1A on average 90% or more, loaded with very low in microbial and somatic cell counts. Therefore, policy implications have to be placed toward switch currently the UHT processing method to Pasteurization or the LTLT technology, by which natural flavors and nutrients in milk mostly remain after heat treatment. Domestic cheese products comprise only 10% and the rest is occupied by the various kinds of imported natural products. The market size keeps increasing up to 65,423,000 tons last year. When it comes to vitalization of our natural cheese industry, cheese whey, which is a main by-product in cheese manufacture, is a critical issue to be solved and also "On-Farm Processing" would be combined with a growth of big dairy companies when few immediate issues among the relevant regulations will be eased and alleviated in the near future. Fermented milk market is recorded as a single area of gradual increase in the past 10 years, Korea. Fermented yogurts with health claims targeted stomach, liver, and intestine are popular and has grown fast in sales amounts. In this context, researches on beneficial probiotic lactic acid bacteria are one of the important projects for domestic milk and dairy industries. Labelling regulations on efficacy or health-promoting effects of functional dairy products, which is the most important issue facing domestic dairy processors, should be urgently examined toward commercial expression of the functionality by lawful means. Colostrum, a nutrition-rich yellowish fluid, is roaded with immune, growth and tissue repair factors. Bovine colostrum, a raw material for immune milk preparations and infant formula, can be used to treat or prevent infections of the gastrointestinal tract. Nanotechnology can be applied to develop new milk and dairy products such as micro-encapsulated lactase milk for consumers suffering lactose intolerance. Raw milk is suggested to be managed by its usage in the processing line because imbalance of supply and demand is structural problem in every country and thus the usage systems as in the advanced dairy countries is worth of bench-marking to stabilize milk supply and demand. Raw milk produced is desirable to divide into the three parts; domestic, import, and buffering purposes. It is strongly recommended that a domestic dairy control center as an institutional framework should be urgently established as is Dairy Board in New Zealand and Australia. Lastly, government policy should be directed to foster the highly-educated people who are majoring in Dairy Sciences or working in the dairy industry by means of financial support in studying and training abroad as well.

  • PDF

Changes Over Time in the Community Structure and Spatial Distribution of Forest Vegetation on Mt. Yeompo, Ulsan City, South Korea (염포산 산림식생의 군락 구조 및 공간 분포의 경시적 변화)

  • Oh, Jeong-Hak;Kim, Jun-Soo;Cho, Hyun-Je
    • Journal of Korean Society of Forest Science
    • /
    • v.109 no.2
    • /
    • pp.145-156
    • /
    • 2020
  • In 2000 and 2018, phytosociological surveys were carried out in the forest vegetation of Mt. Yeompo, a representative isolated urban forest in Ulsan city. The trends of change in forest structure, composition, and spatial distribution were compared between years. Total percent coverage per 100 squaremeters of forest vegetation was similar, but natural vegetation showed a 9% increase. The importance of constituent species changed slightly. Specifically, Lindera erythrocarpa and Styrax japonicus showed very high growth rates of 835% and 269%, respectively. Species richness (S) and diversity (H') decreased by about 22% and 8%, respectively. Both S and H' showed slightly higher rates of decrease in artificial compared with natural vegetation. The constituent species life form spectrums were the same in 2000 and 2018 as 'MM-R5-D4-e'. The similarity (Jaccard coefficient) in the species composition of the forest vegetation was almost homogeneous at approximately 75%. The number of indicator species decreased from 16 species in 2000 to 7 species in 2018. This decrease was mostly due to a decline in herbaceous plants, such as Hemicryptophytes, Geophytes, and Therophytes, which are sensitive to disturbances. The spatial distribution of forest vegetation did not change significantly. The number of forest landscape elements (patches) increased by approximately 25% from 537 in 2000 to 721 in 2018, while the average size decreased by about 20% from 1.28 ha in 2000 to 1.03 ha in 2018.

Analysis on Survey, Exploration and Development Policy and Technology of China : Focused on Shale Gas Resources (셰일가스 자원을 중심으로 한 중국의 에너지·광물자원 조사·탐사·개발 기술 정책분석)

  • Lee, Jae-Wook;Kim, Seong-Yong;Ahn, Eun-Young;Park, Jung-Kyu
    • Economic and Environmental Geology
    • /
    • v.47 no.3
    • /
    • pp.291-302
    • /
    • 2014
  • The Chinese government and its agencies were trying in order to solve the unstability of resource supply and demand. Ministry of Land and Resources of China(MLR) carried out a lot of national-level policy and planning for estimating the domestic mineral and energy resources potential and recoverable reserves, as the Chinese land and resources survey plan(1999~2010), the Chinese mineral resource survey and exploration plan(2008~2020), announcement for shale gas industry policies of China, the Chinese shale gas resources evaluation and selection project for its development priority areas(2012), and the plan for Chinese shale gas development(2011~2015). The two large sedimentary basins of Chinese shale gas reserves are Sichuan and Tarim basins with excellent potential, accounting for majority of the estimated national reserves. Recoverable gas-bearing shale of China was surveyed to be widespread. The volume of recoverable shale gas reservoirs in China has been estimated to be around 31 trillion cubic meters(1,115 trillion cubic feet). China is one of only three countries with the US and Canada to produce shale gas in commercial quantities. China is concentrating on technology development to enhance commercial production of shale gas, and on survey and exploration activities to increase its recoverable reserves. The trends related to shale gas development and R&D activities in China to respond to changes in international oil market should be actively monitored based on analysis of Chinese policies and technology.

A Study on the Introduction of Advanced Technology in the Realm of Defense (민간 신기술의 국방 분야 도입방안에 대한 연구)

  • Jeon, Suyeon
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.21 no.5
    • /
    • pp.249-256
    • /
    • 2020
  • It is expected that the technology of the fourth industrial revolution will increase the productivity and efficiency of the industrial world. Many countries are providing political and financial supports to make big advances in the technology. Especially, developed countries, such as USA, Germany and Japan, are trying to use the technology for manufacturing and finance industry, and to increase the opportunity of test-bed environment. However, many restrictions hinder adopting non-governmental technology in defense due to various limitations such as national security and protection of technology. In this study, we propose methods to adopt new and non-governmental technology in defense through by investigating internal and external policies related to technology and case studies. First, it is necessary to expand opportunities to let small and medium sized companies participate in defense R&D projects. Second, it is important to improve R&D systems for introducing new and non-governmental technology on the defense industry. Third, it is needed to increase test-bed environments for experimenting and evaluating new technologies in the defense industry. Thus, we expect that the proposed methods will help form strategies for small and medium sized companies, and analyze trends for introducing new technologies in the defense industry.

Development of an Informetric Analysis System KnowledgeMatrix (계량정보분석시스템 KnowledgeMatrix 개발)

  • Lee, Bangrae;Yeo, Woon Dong;Lee, June Young;Lee, Chang-Hoan;Kwon, Oh-Jin;Moon, Yeong-ho
    • Proceedings of the Korea Contents Association Conference
    • /
    • 2007.11a
    • /
    • pp.167-171
    • /
    • 2007
  • Application areas of Knowledge Discovery in Database (KDD) have been expanded into many R&D management processes including technology trends analysis, forecasting and evaluation etc. Established research field such as informetrics (or scientometrics) has recently fully 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 cheap, korean language process not available, 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. Knowledge Matrix main operation unit is composed of user-defined lists and matrix generation, cluster analysis, visualization, data pre-processing. KnowledgeMatrix show better performances and offer more various functions than extant systems.

  • PDF

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
    • /
    • v.8 no.1
    • /
    • pp.68-74
    • /
    • 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.

Technology Convergence & Trend Analysis of Biohealth Industry in 5 Countries : Using patent co-classification analysis and text mining (5개국 바이오헬스 산업의 기술융합과 트렌드 분석 : 특허 동시분류분석과 텍스트마이닝을 활용하여)

  • Park, Soo-Hyun;Yun, Young-Mi;Kim, Ho-Yong;Kim, Jae-Soo
    • Journal of the Korea Convergence Society
    • /
    • v.12 no.4
    • /
    • pp.9-21
    • /
    • 2021
  • The study aims to identify convergence and trends in technology-based patent data for the biohealth sector in IP5 countries (KR, EP, JP, US, CN) and present the direction of development in that industry. We used patent co-classification analysis-based network analysis and TF-IDF-based text mining as the principal methodology to understand the current state of technology convergence. As a result, the technology convergence cluster in the biohealth industry was derived in three forms: (A) Medical device for treatment, (B) Medical data processing, and (C) Medical device for biometrics. Besides, as a result of trend analysis based on technology convergence results, it is analyzed that Korea is likely to dominate the market with patents with high commercial value in the future as it is derived as a market leader in (B) medical data processing. In particular, the field is expected to require technology convergence activation policies and R&D support strategies for the technology as the possibility of medical data utilization by domestic bio-health companies expands, along with the policy conversion of the "Data 3 Act" passed by the National Assembly in January 2019.

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
    • /
    • v.24 no.3
    • /
    • pp.67-88
    • /
    • 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.

Digital Library Research : Major Issues and Trends (디지털도서관 연구 동향(2))

  • Ahn, Hyun-Soo
    • Journal of Information Management
    • /
    • v.31 no.1
    • /
    • pp.12-42
    • /
    • 2000
  • Digital library research has attracted much attention. While many research projects are funded by government agencies and national and international bodies, some are run by specific academic and research institutions and libraries. While some digital library projects, such as the ELINOR project in the UK, the first two phases of the eLib(Electronic Libraries) programme in the UK, and the first phase of the DLI(Digital Library Initiative) in the USA, are now over, a number of other projects are currently under-way in different parts of the world. Beginning with the definitions and characteristics of digital libraries proposed by various researchers, this paper provides brief accounts of some major digital library projects that are currently in progress, or are just completed, in different parts of the world. There follows a review of digital library research under 16 major headings. Literature for this review has been identified through a search on the LISA CD-ROM database and a Dialog search on library and information science databases, and the resulting output has been supplemented by a scan of the various issues of D-Lib Magazine and Ariadne, and the Web sites of various organizations and institutions engaged in digital library research. The review indicates that we have learned a lot through digital library research within a short span of time. However, a number of issues are yet to be resolved. The paper ends with an indication of the research issues that need to be addressed and resolved in the near future in order to bring the digital library from the researcher's laboratory to the real life environment.

  • PDF