• 제목/요약/키워드: knowledge and Information resource

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대덕 바이오클러스터의 기술현황: 특허 분석을 중심으로 (Technological status of Biocluster in Daedeok Innopolis: With the focused on the patent analysis)

  • 김윤동;최종인
    • 기술혁신연구
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    • 제16권1호
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    • pp.215-237
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    • 2008
  • KIPRIS patent database was analyzed for identifying the technological status of Daedeok Innopolis Biocluster. It was found that the pattern of activities among various technological areas in Daedeok Biocluster is similar to that of an advanced country rather than those of other cities in Korea. The technological growth in Daedeok Innopolis Biocluster is in the progressive stage, which may be due to the innovative activities rather than the rise in the number of new firms or institutes. The concentration of technology in Daedeok Innopolis Biocluster is a favorable condition for the innovation activities. The trend for the technological concentration was remarkably consistent with the growth curve that a population increases according to the logistic equation. The logistic growth may be represented by the result of competition due to the limited resource allocation and then innovation cluster is corresponding to the ecosystem composed by biological individuals. There is strong competition in Daedeok Innopolis Biocluster in around 2009, so the government might make a policy to encourage the technological diversity for healthy knowledge ecosystem.

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성장판의 성장에 저단계 레이저가 미치는 영향에 대한 고찰 (Review of Low Level Laser Therapy on The Growth of Epiphyseal Plate)

  • 최지원;장인수;정민정
    • 대한한방소아과학회지
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    • 제29권4호
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    • pp.29-38
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    • 2015
  • Objectives We aimed to identify the effectiveness of photobiomodulation using low level laser therapy (LLLT), light emitting diode (LED) and others on the growth of the length of the growth plate by reviewing literatures. Methods We searched literatures using PubMed, Science Direct, CINAHL, Korea Traditional Knowledge Portal (KTKP), Oriental Medicine Advanced Searching Integrated System (OASIS), China Knowledge Resource Integrated Database (CNKI), Japan Science and Technology Information Aggregator, Electronic (J STAGE), and Japan National Institute of Informatics Scholarly and Academic Information Navigator (CiNii) using the keywords "Growth plate" "Epiphyseal growth" "Epiphyseal plate" and "Laser", "light emitting diode (LED)", "near-infrared light", and "photobiomodulation". Search range included only original article which provided English abstract were selected. The search strategy contained no language limitation. Results A total 556 studies were found. Then, 551 were excluded by scanning titles and abstracts and finally 5 articles were selected. Five articles were RCTs using rodents. Two of the 5 articles used InGaAlP Laser (630-685 nm), and the other 3 articles used GaAlAs Laser (780, 820, and 870 nm) to investigated the effects of LLLT on the growth of the length of the epiphyseal cartilage and the number of chondrocytes and thickness of each zone of the epiphyseal cartilage. Two articles concluded that LLLT had a beneficial effect on the longitudinal growth of the growth plate. In growth of the epiphyseal plate, there were no significant differences in others. Conclusions It is might that LLLT influenced on the growth of epiphyseal plate by positive affect. However, further rigorous RCTs are warranted.

데이터베이스 시스템에서 디지털 포렌식 조사를 위한 체계적인 데이터 추출 기법 연구 (Research of organized data extraction method for digital investigation in relational database system)

  • 이동찬;이상진
    • 정보보호학회논문지
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    • 제22권3호
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    • pp.565-573
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    • 2012
  • 기업의 탈법, 비리 등 부정행위를 조사할 경우 인사, 회계, 물류, 생산 등의 업무데이터(Business Data)의 확보가 필요하다. 다수의 기업들은 분산된 업무 데이터를 데이터베이스(Database)화하여 통합적으로 관리하고 있기 때문에 디지털 포렌식 조사를 위하여 데이터베이스에 대한 체계적인 업무데이터 추출기법 연구가 중요하다. 일반적인 정보체계 환경에서 데이터베이스는 상위 어플리케이션 및 대용량 파일 서버와 통합된 정보체계 내의 부분적 형태로 존재한다. 또한 사용자가 입력한 원시 업무 데이터는 정규화 과정을 거친 테이블 설계에 의해 하나 이상의 테이블에 분산되어 저장된다. 기존 데이터베이스 구조 분석에 관한 연구들은 데이터베이스의 최적화와 시각화를 위하여 테이블 간 연관관계 분석이 가장 중요한 연구대상이었다. 그러나 원시 업무데이터를 획득해야 하는 디지털 포렌식 관점의 연구는 테이블 간 연관관계 시각화보다 데이터의 해석이 더 중요한 연구대상이다. 본 논문에서는 데이터베이스 내부에서 미리 정의된 테이블 간 연관관계 분석기술뿐만 아니라 도메인 전문 지식(domain knowledge)을 활용한 체계화된 분석절차를 제시하여 데이터베이스에 저장된 원시 업무 데이터 구조를 분석하고 사건관련 데이터를 추출할 수 있는 분석방안을 제안한다.

건설사업정보 표준 인증을 위한 운영방안 마련 -건설CALS 표준의 관점에서- (Operation Plan of the Certification System for the Construction Information Standard -From the Construction CALS Standard-)

  • 문진석;원지선
    • 한국콘텐츠학회논문지
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    • 제12권12호
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    • pp.459-470
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    • 2012
  • 건설정보의 크기와 복잡성이 증가하고 건설정보화 분야에서 정보기술 의존도가 높아짐에 따라 건설정보 관리를 위한 표준의 중요성이 부각되고 있다. 현재 국내에서 건설사업정보 표준에 관한 인증은 일부 시스템과 정보화 수준 등을 대상으로 시행되고 있으며, 건설사업정보 표준인증제도가 확립되어 있는 실정은 아니다. 이에 건설CALS 표준에 대한 인증 시스템의 도입과 건설정보표준의 실질적인 응용프로그램에 대한 확산전략을 추진한다. 인증시스템의 개발을 위하여 건설정보표준에 대한 현황과 특성을 분석하고 국내외 사례를 조사하였다. 이를 바탕으로 인증의 대상이 되는 건설CALS 표준에 대한 분류 및 분석을 통해 각 표준별 인증의 필요성을 도출하고 인증대상 도입시 우선 대상을 고려하여 인증대상을 선정하였다. 마지막으로 선정된 대상에 대한 인증제도 운영방안을 제시하고 전문 지식이나 기술이 요구되는 사항에 대해서는 자문회의를 개최하여 인증제도 운영방안에 대한 방향성을 확립하고 전문성을 확보하였다.

A study on the Robust and Systolic Topology for the Resilient Dynamic Multicasting Routing Protocol

  • Lee, Kang-Whan;Kim, Sung-Uk
    • Journal of information and communication convergence engineering
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    • 제6권3호
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    • pp.255-260
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    • 2008
  • In the recently years, there has been a big interest in ad hoc wireless network as they have tremendous military and commercial potential. An Ad hoc wireless network is composed of mobile computing devices that use having no fixed infrastructure of a multi-hop wireless network formed. So, the fact that limited resource could support the network of robust, simple framework and energy conserving etc. In this paper, we propose a new ad hoc multicast routing protocol for based on the ontology scheme called inference network. Ontology knowledge-based is one of the structure of context-aware. And the ontology clustering adopts a tree structure to enhance resilient against mobility and routing complexity. This proposed multicast routing protocol utilizes node locality to be improve the flexible connectivity and stable mobility on local discovery routing and flooding discovery routing. Also attempts to improve route recovery efficiency and reduce data transmissions of context-awareness. We also provide simulation results to validate the model complexity. We have developed that proposed an algorithm have design multi-hierarchy layered networks to simulate a desired system.

평균 단원 학습이 초등학교 5학년 학생의 대푯값에 대한 지식에 미치는 영향 (The Effect of Average Unit Learning on the Knowledge of the Representative Value of 5th Grade Elementary School Students)

  • 문은혜;이광호
    • 한국수학교육학회지시리즈C:초등수학교육
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    • 제23권3호
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    • pp.135-156
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    • 2020
  • 다양한 자료를 수집, 정리 및 해석하는 통계의 주요 과정에서 수집된 자료를 올바르게 해석하기 위해서는 자료의 요약이 중요하다. 대푯값은 통계 집단의 변량 전체를 대표하여 그 자료 전체의 특징을 하나의 수로 나타낸 값으로 자료를 조직하고 요약하기 위하여 사용된다. 대푯값에는 여러 가지 형태가 있으나, 우리나라 초등학교 수학과 교육과정에서는 대푯값으로 평균만을 다루고 있다. 따라서 본 연구에서는 초등학교 5학년 학생들이 평균 단원을 학습하기 전 대푯값에 대하여 갖는 비형식적 지식 유형을 알아보고, 평균 단원을 학습한 후와 비교하여 대푯값에 대한 지식의 변화를 살펴봄으로써 학교 수학에서 대푯값 지도에 대한 시사점을 제공하고자 하였다. 그 결과 형식적인 학습을 하기 전 학생들이 대푯값에 대해 풍부한 지식을 가지고 있었고, 이러한 비형식적 지식이 형식화된 개념 유형과 유사함을 알 수 있었다. 초등학생의 대푯값에 대한 비형식적 유형을 살펴보는 것은 초등학교에서 다루어야 하는 대푯값 개념 및 지도 방법에 대하여 시사점을 줄 수 있으며, 중·고등학교에서 대푯값 개념의 형식화를 위한 학습에 도움을 줄 수 있을 것이다.

The humidifier disinfectant case and the legislative challenges of the 20th Congress

  • Park, Taehyun
    • Environmental Analysis Health and Toxicology
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    • 제31권
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    • pp.15.1-15.6
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    • 2016
  • A number of absurdities surrounding the humidifier disinfectant (HD) incident may have occurred because 1) a judicial system operates on the underlying false assumption that the involved parties are equals in knowledge, information and resource mobilization capabilities, regardless of respective real status as company or individual; 2) there is a lack of a system that mandates a company to prevent and actively manage possible catastrophes; 3) the regulatory scheme makes companies believe that as long as they are complying with the existing regulations, they have satisfied all of their responsibilities. I believe that this issue is an opportunity to bring about changes in the judicial redress system, the system of internal management of manufacturers, and the regulatory system of the government. The following regulation amendments are needed to move towards the changes stated above. First, legislation relating to victim relief that is applicable to the HD incident must be established. Second, a risk management system must be formed within the manufacturing company and to this end an institutional environment for the system must be established within regulatory framework. Furthermore, legislation must be passed that could punish companies themselves that have caused severe damage to individuals because they had failed to take necessary actions to avoid foreseeable harm. Finally, the framework of regulation must be changed so that the company, who has the necessary information regarding the product and the component chemicals used in the product, must self-directed experiment and assessment of the safety of their own products.

Autonomic Self Healing-Based Load Assessment for Load Division in OKKAM Backbone Cluster

  • Chaudhry, Junaid Ahsenali
    • Journal of Information Processing Systems
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    • 제5권2호
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    • pp.69-76
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    • 2009
  • Self healing systems are considered as cognation-enabled sub form of fault tolerance system. But our experiments that we report in this paper show that self healing systems can be used for performance optimization, configuration management, access control management and bunch of other functions. The exponential complexity that results from interaction between autonomic systems and users (software and human users) has hindered the deployment and user of intelligent systems for a while now. We show that if that exceptional complexity is converted into self-growing knowledge (policies in our case), can make up for initial development cost of building an intelligent system. In this paper, we report the application of AHSEN (Autonomic Healing-based Self management Engine) to in OKKAM Project infrastructure backbone cluster that mimics the web service based architecture of u-Zone gateway infrastructure. The 'blind' load division on per-request bases is not optimal for distributed and performance hungry infrastructure such as OKKAM. The approach adopted assesses the active threads on the virtual machine and does resource estimates for active processes. The availability of a certain server is represented through worker modules at load server. Our simulation results on the OKKAM infrastructure show that the self healing significantly improves the performance and clearly demarcates the logical ambiguities in contemporary designs of self healing infrastructures proposed for large scale computing infrastructures.

Master Data Management API for Assembled ERP Tools

  • Park, Jin-Kyung;Gim, Mi-Su
    • 한국컴퓨터정보학회논문지
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    • 제21권11호
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    • pp.93-101
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    • 2016
  • In this paper, we propose a new model, assembled ERP, to analyze the reason why the small and medium sized companies have a low ERP implementation rate and to solve this. As a result of our analysis, the high initial costs and time required for implementing ERP keep such companies from implementing it as they have relatively limited resources. The assembled ERP model, however, reduces the scale of ERP by developing the ERP for the unique business of each and connecting a few 3rd-Party applications as a module to make ERP for common work. Also it enables easier data utilization by drawing up an API list that connects the 3rd-Party applications to the developed ERP when the user lacks knowledge in the master data of the 3rd-Party applications. Therefore it lets the small and medium sized companies introduce the ERP more easily by reducing the costs for ERP implementation and user training.

빅데이터 연구동향 분석: 토픽 모델링을 중심으로 (Research Trends Analysis of Big Data: Focused on the Topic Modeling)

  • 박종순;김창식
    • 디지털산업정보학회논문지
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    • 제15권1호
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    • pp.1-7
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    • 2019
  • The objective of this study is to examine the trends in big data. Research abstracts were extracted from 4,019 articles, published between 1995 and 2018, on Web of Science and were analyzed using topic modeling and time series analysis. The 20 single-term topics that appeared most frequently were as follows: model, technology, algorithm, problem, performance, network, framework, analytics, management, process, value, user, knowledge, dataset, resource, service, cloud, storage, business, and health. The 20 multi-term topics were as follows: sense technology architecture (T10), decision system (T18), classification algorithm (T03), data analytics (T17), system performance (T09), data science (T06), distribution method (T20), service dataset (T19), network communication (T05), customer & business (T16), cloud computing (T02), health care (T14), smart city (T11), patient & disease (T04), privacy & security (T08), research design (T01), social media (T12), student & education (T13), energy consumption (T07), supply chain management (T15). The time series data indicated that the 40 single-term topics and multi-term topics were hot topics. This study provides suggestions for future research.