• Title/Summary/Keyword: service R&D

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Operation status of Agricultural Machinery Rental Service and its Improvement Plan (농업기계 임대사업 운영실태 및 개선방안)

  • Shin, Seung-Yeoub;Lee, Jung-Min;Kim, Yu-Yong;Noh, Jae-Seung
    • Journal of Korean Society of Rural Planning
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    • v.22 no.4
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    • pp.61-69
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    • 2016
  • In order to reduce the farmers' burden of purchasing agricultural machinery and address the shortage of farm workers, the government have been promoting agricultural machinery rental service since 2003. Despite of political purpose, the outcome of agricultural machinery rental service turned out to be adverse, high cost and low efficiency, by the pork barrel projects operated from some municipalities. Therefore, this study was aimed to improve the efficiency of agricultural machinery rental service by analyzing the operation status of agricultural machinery in local government. A questionnaire survey was conducted at 134 cities and counties in terms of rent type, management personnel, business budget, agricultural machinery ownership, rental performance, use rates, operational problems, and improvement plan. This study found that some agricultural machinery rental offices were only focused on the short-term rental service, which caused the increasing number of operating personnel, required facilities/equipment. The short-term rental service has a limitation for promoting the mechanization rate in dry-field farming. Therefore, it should be carried out along with the long-term rental service which a lessee maintains and manages agricultural machinery directly. Furthermore, the reasonable number of agricultural machinery based on regional circumstances should be considered to meet rental demand and collect the minimal rental fee for purchasing new agricultural machinery and replacing old ones.

A Study on Ontology and Topic Modeling-based Multi-dimensional Knowledge Map Services (온톨로지와 토픽모델링 기반 다차원 연계 지식맵 서비스 연구)

  • Jeong, Hanjo
    • Journal of Intelligence and Information Systems
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    • v.21 no.4
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    • pp.79-92
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    • 2015
  • Knowledge map is widely used to represent knowledge in many domains. This paper presents a method of integrating the national R&D data and assists of users to navigate the integrated data via using a knowledge map service. The knowledge map service is built by using a lightweight ontology and a topic modeling method. The national R&D data is integrated with the research project as its center, i.e., the other R&D data such as research papers, patents, and reports are connected with the research project as its outputs. The lightweight ontology is used to represent the simple relationships between the integrated data such as project-outputs relationships, document-author relationships, and document-topic relationships. Knowledge map enables us to infer further relationships such as co-author and co-topic relationships. To extract the relationships between the integrated data, a Relational Data-to-Triples transformer is implemented. Also, a topic modeling approach is introduced to extract the document-topic relationships. A triple store is used to manage and process the ontology data while preserving the network characteristics of knowledge map service. Knowledge map can be divided into two types: one is a knowledge map used in the area of knowledge management to store, manage and process the organizations' data as knowledge, the other is a knowledge map for analyzing and representing knowledge extracted from the science & technology documents. This research focuses on the latter one. In this research, a knowledge map service is introduced for integrating the national R&D data obtained from National Digital Science Library (NDSL) and National Science & Technology Information Service (NTIS), which are two major repository and service of national R&D data servicing in Korea. A lightweight ontology is used to design and build a knowledge map. Using the lightweight ontology enables us to represent and process knowledge as a simple network and it fits in with the knowledge navigation and visualization characteristics of the knowledge map. The lightweight ontology is used to represent the entities and their relationships in the knowledge maps, and an ontology repository is created to store and process the ontology. In the ontologies, researchers are implicitly connected by the national R&D data as the author relationships and the performer relationships. A knowledge map for displaying researchers' network is created, and the researchers' network is created by the co-authoring relationships of the national R&D documents and the co-participation relationships of the national R&D projects. To sum up, a knowledge map-service system based on topic modeling and ontology is introduced for processing knowledge about the national R&D data such as research projects, papers, patent, project reports, and Global Trends Briefing (GTB) data. The system has goals 1) to integrate the national R&D data obtained from NDSL and NTIS, 2) to provide a semantic & topic based information search on the integrated data, and 3) to provide a knowledge map services based on the semantic analysis and knowledge processing. The S&T information such as research papers, research reports, patents and GTB are daily updated from NDSL, and the R&D projects information including their participants and output information are updated from the NTIS. The S&T information and the national R&D information are obtained and integrated to the integrated database. Knowledge base is constructed by transforming the relational data into triples referencing R&D ontology. In addition, a topic modeling method is employed to extract the relationships between the S&T documents and topic keyword/s representing the documents. The topic modeling approach enables us to extract the relationships and topic keyword/s based on the semantics, not based on the simple keyword/s. Lastly, we show an experiment on the construction of the integrated knowledge base using the lightweight ontology and topic modeling, and the knowledge map services created based on the knowledge base are also introduced.

Performance Evaluation of National R&D Investment in Information Technology Areas

  • Kim, Heung-Kyu
    • Journal of the Korea Society of Computer and Information
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    • v.22 no.2
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    • pp.119-125
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    • 2017
  • In this paper, we propose an approach to evaluating the performance of the national R&D investment in IT(Information Technology) areas in terms of paper, patent and commercialization, and seeking ways to improve the efficiency of the national R&D investment. This is because the government has focused the national R&D investment on IT areas for some time. For that purpose, we gather data on investments, papers, patents, and commercializations for the government sponsored R&D projects in IT areas through National Science & Technology Information Service. From which, we summarize the investment and performance in terms of papers, patents, and commercializations for each IT area, evaluate efficiency per R&D investment for each IT area, and compare the efficiencies among IT areas. Finally, we drive implications for efficiency enhancement and strategic R&D budget allocation for each IT area.

Trend Analysis on Korea's National R&D in Logistics

  • Jeong, Jae Yun;Cho, Gyusung;Yoon, Jieon
    • Journal of Ocean Engineering and Technology
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    • v.34 no.6
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    • pp.461-468
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    • 2020
  • This study examined how national research and development (R&D) in the domain of logistics has changed recently in the Republic of Korea. We conducted basic statistical analysis and social network analysis on 5,327 logistics-related R&D projects undertaken during 2005-2019. Data for performing these analyses were collected from the R&D database of the National Science and Technology Information Service (NTIS). By constructing a co-occurrence matrix with keywords, we conducted degree and betweenness centrality analysis and visualized the network matrix to display a cluster map. This study presents our observations related to the following findings: (1) the chronical trends of logistics R&D, (2) focused fields of logistics R&D, (3) the relations among keywords, and (4) the characteristics of logistics R&D. Finally, we suggest policy implications to boost and diversify logistics R&D.

The Economic Effect of R&D Investment for the IT Green Growth Initiatives in Korea (IT분야의 신성장동력에 대한 연구개발(R&D)투자의 경제적 파급효과 분석)

  • Park, Chu-Hwan;Han, Seong-Soo
    • Journal of Korea Technology Innovation Society
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    • v.13 no.3
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    • pp.558-586
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    • 2010
  • This paper analyze the economic effect of R&D investment for the IT Green growth initiatives in Korea, relating to Green growth which is main force for activating in order to durable growth currently. The IT green growth initiatives can be grouped by IT manufacture, IT service, and S/W and computer-related services in the R&D investment and to be analyzed by the RAS forecasting methods. The results indicate that the production-inducing effect is about 31,853 billion won for the IT manufacture, and IT service is about 14,360 billion won, and the next is S/W and computer-related service whose effect is about 4,482 billion won. The import, value added, and employment effect of IT manufacture is also bigger than those of any other sectors in IT. This is because R&D investment in case of IT manufacture is more huge than IT service. Besides, employment-inducing effects show that IT manufacture is highest in 16,596 persons; IT service is secondly highest in 9,000 persons and S/W; lastly, computer-related service is much lower than those of any other sector. So we can conjecture that the long-term initiatives of IT green growth implementation lead to increasing size of benefits in the IT sectors.

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Analysis of Investment in Nanotechnology Using DEA (DEA를 활용한 나노기술의 투자분석)

  • Yoon, Seung-Chul;Kim, Heung-Kyu
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.41 no.4
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    • pp.101-110
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    • 2018
  • This study aims to objectively measure the efficiency of nanotechnology R&D programs by systematically evaluating the inputs and outputs of nanotechnology R&D activities and to find implications for improving the efficiency of nanotechnology R&D programs. Data on input factors such as R&D investment, R&D manpower, R&D period, and output factors such as paper, patent, and commercialization for R&D projects which started from 2008 or afterwards and ended by 2011 are gathered through National Science and Technology Knowledge Information Service, which are used for efficiency evaluation. In this study, we analyzed R&D efficiency in detailed technology units in depth. The process taken in this study is as follows. First, the basic statistics of input and output factors to compare and analyze R&D investment, R&D manpower, R&D period, paper, patent, and commercialization status by technology unit are analyzed. Next, DEA models are utilized to derive the overall efficiency, pure technology efficiency, and scale efficiency by conducting the efficiency evaluation for each technology unit, from which implications for strategic budget allocation are derived. In addition, partial efficiency evaluation is conducted to identify advantages and disadvantages of each technology unit. In turn, cluster analysis is performed to identify similar technology units, from which implications for efficiency improvement are derived.

Feature Analyze and Research of National Convergence R&D: With Focus on the Text Mining (국가 융합 R&D 특성 분석에 관한 연구: 텍스트분석을 중심으로)

  • Yoo, KiCheol;Lee, TaeHee;Choi, SangHyun;Lee, JungHwan
    • Journal of Information Technology Applications and Management
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    • v.27 no.1
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    • pp.59-73
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    • 2020
  • There is a growing interest in convergence. National R & D is also providing various policies and institutional support to promote convergence research. Convergence research, however, does not clearly specify its characteristics at the academic and government levels. This research proceeds with the process of collecting, refining, analyzing, modeling, verifying and visualizing national R & D data through the National Science and Technology Information Service (NTIS). The method is to derive the convergence research characteristics and to derive through text mining, focusing on the unstructured information of national R & D project data. The study confirmed that there was a difference in perception between the definition of converged research and the research site. In order to improve this, the research suggested that convergence among research subjects, collaboration among research topics reflecting various backgrounds and characteristics of researchers, and analysis of characteristics of convergence research using information were suggested in the process of establishing convergence policy.

Considering Service Factors in R&D Project Selection: An Application to Broadcasting and Telecommunications Convergence Sector (서비스 특성을 고려한 방송통신융합 분야 R&D 프로젝트 선정)

  • Jun, Hyo-Jung;Kim, Tae-Sung;Yeon, Seung-Jun;Ha, Won-Gyu
    • Proceedings of the Korea Database Society Conference
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    • 2008.05a
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    • pp.455-465
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    • 2008
  • Recently the discussion on broadcasting and telecommunications convergence has been actively advanced, the convergence service which pulls down the guard of broadcasting and telecommunications industries is already embodied from the market. We need to clearly define a broadcasting and telecommunications convergence in order to develop promising convergence technologies based on future demands for broadcasting and telecommunications convergence. In this study, we consider both broadcasting and telecommunications as 'services-centered industries' and suggest new R&D project selection criteria. This could be used to present a new direction in R&D project management.

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