• 한국콘텐츠학회논문지
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• 제14권9호
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• pp.428-436
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• 2014

농업과 ICT(Information & Communication Technology)의 융합기술은 미래농업의 주요 요인으로 지목되고 있는 가운데 식량부족 및 식품 안전성 문제의 대안 책으로 주목받고 있다. 최근 들어, 국내 및 국제 농업분야에서는 농작물 생육환경에 대해 ICT기술 중 빅데이터를 이용하여, 농업분야 환경을 개선하고자 한다. 그러나 아직까지 국내 농업분야에서는 빅데이터 활용도가 낮으며, 농가별로 폐쇄적으로 운영하여 생육환경 데이터가 공유되지 않고 있다. 따라서 세계 10대 유망상업 중 하나로 꼽히는 빅데이터 활용과 더불어 개방형 지식 서비스화 할 수 있는 LOK(Linked Open Knowledge) 시스템이 필요하다. 본 연구는 국내외 생육환경과 빅데이터의 연구현황을 분석하고 국내 농업의 선진화 방안으로 농업 내의 빅데이터 구축 및 활용을 통한 농작물에 대한 LOK의 필요성을 알아보고, 제언하고자 한다.

• Korean Journal of Acupuncture
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• 제28권3호
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• pp.53-62
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• 2011

Objectives : Burn is most common adverse events of moxibustion. Various kinds of components influence on the heat stimulation of commercial indirect moxa, but there are not enough investigation about the status. The purpose of this study is to investigate the 6 components to build a base data that is currently available to build a standard of an indirect moxibustion. Methods : The length and weight, density, thickness of the paper disk, diameter of the paper disk, and diameter in the paper disk hole were measured against 6 kinds of commercial indirect cautery. Results : 1. 'Seoam', 'Kihwang' and 'Taegeuk' shows uniform length than the other brands. 2. 'Dongbang', 'Kihwang' and 'Taegeuk' shows uniform weight than the other brands. 3. 'Dongbang', 'Kihwang' and 'Taegeuk' shows uniform density than the other brands. 4. 'Dongbang' and 'Kihwang' shows uniform thickness than the other brands. 5. 'Seoam', 'Dongbang' and 'Taegeuk' shows uniform diameter of disc hole than the other brands. Conclusions : As a result of investigation, 'Dongbang' and 'Kiwhang' indirect moxibustion was identified as a uniform product. This results are considered as an important base materials of the KS through commercial indirect moxibustion.

• Genomics & Informatics
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• 제15권1호
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• pp.51-53
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• 2017

High-throughput transcriptome sequencing, also known as RNA sequencing (RNA-Seq), is a standard technology for measuring gene expression with unprecedented accuracy. Numerous bioconductor packages have been developed for the statistical analysis of RNA-Seq data. However, these tools focus on specific aspects of the data analysis pipeline, and are difficult to appropriately integrate with one another due to their disparate data structures and processing methods. They also lack visualization methods to confirm the integrity of the data and the process. In this paper, we propose an R-based RNA-Seq analysis pipeline called TRAPR, an integrated tool that facilitates the statistical analysis and visualization of RNA-Seq expression data. TRAPR provides various functions for data management, the filtering of low-quality data, normalization, transformation, statistical analysis, data visualization, and result visualization that allow researchers to build customized analysis pipelines.

• 정보관리학회지
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• 제9권2호
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• pp.80-96
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• 1992

미술 정보 데이터베이스는 미술분야의 특성을 고려하고 정보 생산 환경을 감안하여, 작품 재현이 가능한 화상 정보 시스템(IMAGEBASE)의 구축이 선행되어야 하고, 문자 정보 는 화상 정보를 지원하기 위한 별도의 적정 수준을 형성한다. 본 연구는 미술 정보의 효율 적 생산 및 이용 측면을 고려하여, 미술 정보 취급자의 필수 정보 판단, 정보 취득 경혐과 난이도를 분석할 결과, 1) 필수적이고 취득이 용이한 최적 수준 데이터 요소는 물리적 기술 에 관련된 9종이며, 2) 최적 수준에서 배제되었으나 생산이 가능한 임의 수준 데이터 요소 는 16종이며 3) 향후 미술 정보 협력망 구성에 필요하다고 판단되어 생산의 필요성이 있는 다수의 데이터 요소는 연구 개발 수준으로 선정되었다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 제36회 하계학술대회 논문집 A
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• pp.592-596
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• 2005

The preventive diagnostic system prevents transformers from power failure by giving alarm and observing transformers in service. And it helps to establish the plan for optimum maintenance of transformer as well as to find location or cause of fault using accumulated data. KEPCO has adopted the preventive diagnostic system at nine 345kV substations since 1997. Techniques for component sensors of preventive diagnostic system were settled but diagnostic algorithm, diagnostic criteria and practical use of accumulated data are not yet established. This paper, to build up the base of preventive diagnostic algorithm for the power transformer, investigated the preventive diagnostic criteria for power transformer.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2003년도 추계학술대회
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• pp.242-247
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• 2003

An experimental study presents characteristics of combustion in a combustion chamber by port deactivation valve for economy and emissions standards. In order to use combustion properties data it is necessary to build some data base, which use cylinder pressure sensor, etc. Port deactivation valve has been developed to satisfy requirement of achieving sufficient swirl generation to improve the combustion. A feasibility and necessity of combustion pressure based cylinder spark timing control has been examined. So, this was obtained the Coefficient of Variation(COV) and the mass-burned(MFB). The characteristics of pressure ratio fraction is similar to that of mass-burned fraction. Using the results of the test, the effects of the combustion chamber can be improved combustion stability by port deactivation.

• 한국자동차공학회논문집
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• 제12권1호
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• pp.66-73
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• 2004

This paper presents characteristics of combustion and exhaust gas properties according to variation of the combustion chamber for economy and emissions standards. In order to use combustion and exhaust gas properties data, it is necessary to build some data base, which use cylinder pressure sensor and emission tester. A feasibility and necessity of combustion pressure based cylinder spark timing control has been examined. So, this was obtained the coefficient of variation(COV) and the specific fuel consumption(sfc). Using the results of the test, the effects of the variable combustion chamber can be improved combustion stability and be reduced exhaust emission.

• 한국산학기술학회:학술대회논문집
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• 한국산학기술학회 2003년도 Proceeding
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• pp.155-162
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• 2003

Today's network consists of a large number of routers and servers running a variety of applications. Policy-based network provides a means by which the management process can be simplified and largely automated. In this paper we build a foundation of policy-based network modeling and simulation environment. The procedure and structure for the induction of policy rules from vulnerabilities stored in SVDB (Simulation based Vulnerability Data Base) are developed. The structure also transforms the policy rules into PCIM (Policy Core Information Model). The effect on a particular policy can be tested and analyzed through the simulation with the PCIMs and SVDB.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2011년도 정기총회 및 추계학술대회 논문집
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• pp.172-180
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• 2011

When it essentially designs and develops the Railway Signal System H/W and S/W, It requires base to build an environment which the safety of the complete system can be certified objectively. It is not rational choice to progress the safety certification of each of the subsystems to ensure reliability from an economic point of view. Furthermore, Even though H/W and S/W already certificated the safety, In case of changing subsystem to comprise relevant system, The safety certification of its parts newly must proceed. This study to solve these problems covers safety H/W platform which is commonly applicable to composition plan at Ground railway signaling systems such as CBTC, ETCS, CBI and safety-based modeling approach with S/W development tools (SCADE) and certificated O/S (Pike) to build the development environment. In addition, When it designs and develops safety S/W, This study explains structure to separate the data section which for logical operations and logical operations itself and provides guideline to support the certification through minimizing changes to the software.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2022년도 가을 학술논문 발표대회
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• pp.57-58
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• 2022

Concrete mix design is used as essential data for the quality of concrete, analysis of structures, and stable use of sustainable structures. However, since most of the formulation design is established based on the experience of experts, there is a lack of data to base it on. are suffering Accordingly, in this study, the purpose of this study is to build a predictive model to use the concrete mixing factor as basic data for calculation using the DNN technique. As for the data set for DNN model learning, OPC and ternary concrete data were collected according to the presence or absence of admixture, respectively, and the model was separated for OPC and ternary concrete, and training was carried out. In addition, by varying the number of hidden layers of the DNN model, the prediction performance was evaluated according to the model structure. The higher the number of hidden layers in the model, the higher the predictive performance for the prediction of the mixing elements except for the compressive strength factor set as the output value, and the ternary concrete model showed higher performance than the OPC. This is expected because the data set used when training the model also affected the training.