• 제목/요약/키워드: extensive data analysis

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R을 이용한 지진자료 처리 (Seismic Data Analysis using the R)

  • 정태웅;;윤숙영
    • 지구물리와물리탐사
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    • 제11권4호
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    • pp.379-384
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    • 2008
  • R언어는 통계적 계산과 그래픽을 위한 무료 소프트웨어로 유닉스 뿐 아니라 MS 윈도우상에서도 잘 구동되며, 명령어가 이해하기 쉽고 명령에 대한 Help 기능이 컴퓨터상에서 대화형으로 잘 구비되어 있다. 수많은 패키지에 의해 여러 분야에서 활용되고 있는데, 'RSEIS' 패키지를 사용하면 그래픽에 의한 지진자료처리 작업이 매우 수월하여 그 예를 소개한다.

Practical considerations for the study of the oral microbiome

  • Yu, Yeuni;Lee, Seo-young;Na, Hee Sam
    • International Journal of Oral Biology
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    • 제45권3호
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    • pp.77-83
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    • 2020
  • In the oral cavity, complex microbial community is shaped by various host and environmental factors. Extensive literature describing the oral microbiome in the context of oral health and disease is available. Advances in DNA sequencing technologies and data analysis have drastically improved the analysis of the oral microbiome. For microbiome study, bacterial 16S ribosomal RNA gene amplification and sequencing is often employed owing to the cost-effective and fast nature of the method. In this review, practical considerations for performing a microbiome study, including experimental design, molecular analysis technology, and general data analysis, will be discussed.

SI 프로젝트의 효율성 평가를 위해 자료포괄분석과 기계학습을 결합한 하이브리드 분석 (A Hybrid Approach Combining Data Envelopment Analysis and Machine Learning to Evaluate the Efficiency of System Integration Projects)

  • 홍한국;하성호;박상찬
    • Asia pacific journal of information systems
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    • 제10권1호
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    • pp.19-35
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    • 2000
  • Data Envelopment Analysis(DEA), a non-parametric productivity analysis tool, has become an accepted approach for assessing efficiency in a wide range of fields. Despite of its extensive applications, some features of DEA remain bothersome. DEA offers no guidelines to where relatively inefficient DMU(Decision Making Unit) improve since a reference set of an inefficient DMU consists of several efficient DMUs and it doesn't provide a stepwise path for improving the efficiency of each inefficient DMU considering the difference of efficiency. We aim to show that DEA can be used to evaluate the efficiency of System Integration Projects and suggest the methodology which overcomes the limitation of DEA through hybrid analysis utilizing DEA along with machine learning.

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건물용 태양광발전 시스템 성능 및 경제성 평가 프로그램 개발 연구 (Software Development on Power and Economic Analysis of Photovoltaic System for Building Application)

  • 윤종호;신우철;박재완
    • 한국태양에너지학회 논문집
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    • 제28권1호
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    • pp.1-8
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    • 2008
  • The aim of this study is to develop the photovoltaic simulation program, called SimPV, which can Predict hourly based power generation of various PV modules and conduct an intensive economic analysis with Korean situation. To establish the reliability of the PV simulation results, we adopt the PV calculation algorithm of TRNSYS program of which verification has already well approved. Extensive database for hourly weather data of Korean 16 cities, engineering data for PV system and building load profiles are established. Case study on the 2.5kW roof integrated PV system and economic analysis are presented with the developed program.

SI 프로젝트의 효율성 평가를 위해 자료포괄분석과 기계학습을 결합한 하이브리드 분석 (Hybrid approach combining Data Envelopment Analysis and Machine Learning to Evaluate the Efficiency of System Integration Projects)

  • 홍한국;김종원;서보라
    • 한국산업정보학회:학술대회논문집
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    • 한국산업정보학회 2006년도 춘계 국제학술대회 논문집
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    • pp.77-88
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    • 2006
  • Data Envelopment Analysis (DEA), a non-parametric productivity analysis tool, has become an accepted approach for assessing efficiency in a wide range of fields. Despite of its extensive applications, some features of DEA remain bothersome. DEA offers no guidelines to where relatively inefficient DMU(Decision Making Unit) improve since a reference set of an inefficient DMU consists of several efficient DMUs and it doesn't provide a stepwise path for improving the efficiency of each inefficient DMU considering the difference of efficiency. We aim to show that DEA can be used to evaluate the efficiency of System Integration Projects and suggest the methodology which overcomes the limitation of DEA through hybrid analysis utilizing DEA along with machine learning.

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연안어업 생산성에 관한 실증연구 (An Empirical Analysis on the Productivity of Coastal Fishery)

  • 어윤양;송동효;황선재;박보경
    • 수산경영론집
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    • 제51권1호
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    • pp.19-36
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    • 2020
  • The purpose of this paper is to analyze the productivity of the costal fisheries in Jeonnam Province. In this study, the operational characteristics and Cobb-Douglas production function of coastal fisheries were examined based on a research on the actual condition of costal fisheries (RACF). The statistical analysis of RACF data reveals that Cobb-Douglas production function consists of the three variables: fishing quantity per ton-age, the number of fisherman per ton-age and fishing equipment cost per ton-age. The results of this study show us that the relation and productivity between labor and capital of the operational equipment in the coastal fisheries. If extensive comparable biological and market data become available, analysis model can be widely applied to yield more accurate results.

이동통신 멀티미디어 데이터서비스의 트래픽 특성 모델링 및 성능분석 (Traffic Modeling and Performance Analysis of Mobile Multimedia Data Services)

  • 정용주;백천현;김후곤;최택진;양원석;황흥석
    • 한국경영과학회지
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    • 제28권2호
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    • pp.139-155
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    • 2003
  • The aim of this study is to identify the data traffic capacity of 3G mobile communication networks, especially of cdma2000-1X networks. Three-layered ON/OFF traffic model is used to describe the dynamics of data traffics and the process of data transmission such as packet scheduling. We construct a simulator fully incorporating packet handling process of cdma2000-lX data network as well as three-layered ON/OFF traffic model describing the behavior of source data traffics. To get influence of traffic parameters on performance measures, the extensive simulations were performed for several data sets which are obtained from real trace data or previous studies. The experimental results show that the engineered throughput satisfying QoS criteria is approximately 25% of total capacity. Finally, some proposals to improve the system capacity are followed.

Evaluation and interpretation of transcriptome data underlying heterogeneous chronic obstructive pulmonary disease

  • Ham, Seokjin;Oh, Yeon-Mok;Roh, Tae-Young
    • Genomics & Informatics
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    • 제17권1호
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    • pp.2.1-2.12
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    • 2019
  • Chronic obstructive pulmonary disease (COPD) is a type of progressive lung disease, featured by airflow obstruction. Recently, a comprehensive analysis of the transcriptome in lung tissue of COPD patients was performed, but the heterogeneity of the sample was not seriously considered in characterizing the mechanistic dysregulation of COPD. Here, we established a new transcriptome analysis pipeline using a deconvolution process to reduce the heterogeneity and clearly identified that these transcriptome data originated from the mild or moderate stage of COPD patients. Differentially expressed or co-expressed genes in the protein interaction subnetworks were linked with mitochondrial dysfunction and the immune response, as expected. Computational protein localization prediction revealed that 19 proteins showing changes in subcellular localization were mostly related to mitochondria, suggesting that mislocalization of mitochondria-targeting proteins plays an important role in COPD pathology. Our extensive evaluation of COPD transcriptome data could provide guidelines for analyzing heterogeneous gene expression profiles and classifying potential candidate genes that are responsible for the pathogenesis of COPD.

2-D & 3-D Calculations for the Effect of Guide Vane of Impulse Turbine

  • Hyun Beom-Soo;MOON Jae-Seung;Hong Sung-Won
    • 한국해양공학회:학술대회논문집
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    • 한국해양공학회 2004년도 학술대회지
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    • pp.235-240
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    • 2004
  • This paper deals with the performance analysis of impulse turbine for owe type wave energy conversion device. Numerical analysis was performed using a commercially-available software FLUENT. This parametric study includes the variation of the setting angle of guide vane. Since parametric study at various flaw coefficients requires tremendous amounts of computing time, two-dimensional cascade flaw approximation was employed to find out optimum principal particulars in rather simple manner. Full three-dimensional calculation was also performed for several cases to confirm the validity of two-dimensional approach. Results were compared to other experimental data, for instance Setoguchi et al (2001)'s extensive set of data, and found to be well demonstrating the usefulness of 2-D analysis. Advantages and disadvantages of each method were also evaluated.

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초음속 유도탄의 동체 와류 예측 및 공력 특성 분석 (PREDICTION OF AERODYNAMIC CHARACTERISTICS AND BODY VORTICES OVER SUPERSONIC MISSILES)

  • 윤성환;김종암;허기훈
    • 한국전산유체공학회:학술대회논문집
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    • 한국전산유체공학회 2010년 춘계학술대회논문집
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    • pp.308-314
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    • 2010
  • In this study, NASA test model with four cruciform fins is utilized to validate the in-house code. Sur face pressure distribution and aerodynamic coefficients are compared with experimental data. Through extensive validation work, it is verified that the code has capability to predict aerodynamic characteristics of missile configuration. In inviscid analysis through a relatively low computational time, analysis result close to experimental data can be confirmed. However, at high angle of attack more than 20 degree, the accuracy of analysis is gradually decreased due to massive separation. In addition, it has been seen that Reynolds number, turbulence model and numerical method have effects on body vortices and aerodynamic characteristics.

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