• 제목/요약/키워드: Integrated Methods of Data

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우주탐사에서의 가시광-근적외선 분광 자료 분석 기법 (Analysis Methods of Visible and Near-Infrared (VNIR) Spectrum Data in Space Exploration)

  • 이응석;김경자;홍익선;김수연
    • 우주기술과 응용
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    • 제3권2호
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    • pp.154-164
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    • 2023
  • 우주탐사에서 분광관측은 대상의 구성 성분과 물리적 특성을 이해하는 데 유용한 방법이다. 분광 자료 분석에는 여러 가지 방법이 있으며, 관측 대상과 파장대역에 따라 차이가 있다. 본 논문에서는 달 탐사에서 주로 적용하는 가시광-근적외선(visible & near-infrared, VNIR) 분광 자료 분석 방법에 대해 소개한다. 주요 분석 방법에는 가색상 비율(false color ratio) 영상 처리, 반사도 유형(reflectance pattern) 분석, 통합 대역 깊이(integrated band depth, IBD) 계산이 있으며, 분석 이전의 전처리로는 연속체 제거(continuum removal)가 있다. 이러한 분광 분석 방법들은 가시광-근적외선 영역에서 나타나는 달 표면의 광물 특성을 이해하는데 도움이 되며, 화성과 같은 다른 천체에도 적용할 수 있다.

Mineral Resources Potential Mapping using GIS-based Data Integration

  • Lee Hong-Jin;Chi Kwang-Hoon;Park Maeng-Eon
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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    • pp.662-663
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    • 2004
  • In general, mineral resources prospect is performed in several methods including geological survey, geological structure analysis, geochemical exploration, airborne geophysical exploration and remote sensing, but data collected through these methods are usually not integrated for analysis but used separately. Therefore we compared various data integration techniques and generated final mineral resources potentiality map.

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데이터 마이닝과 통계적 기법을 통합한 최적화 기법 (Optimization Methodology Integrated Data Mining and Statistical Method)

  • 송서일;신상문;정혜진
    • 품질경영학회지
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    • 제34권4호
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    • pp.33-39
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    • 2006
  • These days manufacture technology and manufacture environment are changing rapidly. By development of computer and enlargement of technique, most of manufacture field are computerized. In order to win international competition, it is important for companies how fast get the useful information from vast data. Statistical process control(SPC) techniques have been used as a problem solution tool at manufacturing process until present. However, these statistical methods are not applied more extensively because it has much restrictions in realistic problems. These statistical techniques have lots of problems when much data and factors are analyzed. In this paper, we proposed more practical and efficient a new statistical design technique which integrated data mining (DM) and statistical methods as alternative of problems. First step is selecting significant factor using DM feature selection algorithm from data of manufacturing process including many factors. Second step is finding optimum of process after estimating response function through response surface methodology(RSM) that is a statistical techniques

공간 데이터와 시계열 데이터로부터 유도된 공분산행렬을 결합한 강수량 결측값 추정 모형 (Development of a Model Combining Covariance Matrices Derived from Spatial and Temporal Data to Estimate Missing Rainfall Data)

  • 성찬용
    • 한국환경과학회지
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    • 제22권3호
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    • pp.303-308
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    • 2013
  • This paper proposed a new method for estimating missing values in time series rainfall data. The proposed method integrated the two most widely used estimation methods, general linear model(GLM) and ordinary kriging(OK), by taking a weighted average of covariance matrices derived from each of the two methods. The proposed method was cross-validated using daily rainfall data at thirteen rain gauges in the Hyeong-san River basin. The goodness-of-fit of the proposed method was higher than those of GLM and OK, which can be attributed to the weighting algorithm that was designed to minimize errors caused by violations of assumptions of the two existing methods. This result suggests that the proposed method is more accurate in missing values in time series rainfall data, especially in a region where the assumptions of existing methods are not met, i.e., rainfall varies by season and topography is heterogeneous.

Review on statistical methods for large spatial Gaussian data

  • Park, Jincheol
    • Journal of the Korean Data and Information Science Society
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    • 제26권2호
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    • pp.495-504
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    • 2015
  • The Gaussian geostatistical model has been widely used for modeling spatial data. However, this model suffers from a severe difficulty in computation because inference requires to invert a large covariance matrix in evaluating log-likelihood. In addressing this computational challenge, three strategies have been employed: likelihood approximation, lower dimensional space approximation, and Markov random field approximation. In this paper, we reviewed statistical approaches attacking the computational challenge. As an illustration, we also applied integrated nested Laplace approximation (INLA) technology, one of Markov approximation approach, to real data to provide an example of its use in practice dealing with large spatial data.

보육교사의 음악-수학 통합활동에 대한 인식과 실제 (Childcare Teachers' Perceptions and Practices on Integrating Music-Mathematics Activities)

  • 권수현;최정아
    • 한국보육지원학회지
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    • 제20권2호
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    • pp.17-37
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    • 2024
  • Objective: This study aimed to examine childcare teachers' perceptions and practice of music-math integrated activities, and their understanding of these activities. Methods: This study involved 201 childcare teachers from Seoul and surrounding areas. Surveys were employed to collect data on their background, implementation of music-math integrated activities, and the challenges they encountered. Additionally, a tool was also developed and utilized to measure the actual understanding of these activities. Data were analyzed using t-tests and ANOVA. Results: The results indicated that while teachers recognize the importance of integrated activities, they seldom implement them due to challenges related to resources and comprehension of concepts. Significant differences in the understanding of these activities were found based on teachers' experience, workplace type, age group of children under their care, and education level. Conclusion/Implications: In conclusion, the findings emphasize the necessity for the development and provision of pre-service and in-service training programs, along with support in educational materials for childcare teachers. These efforts are crucial to facilitate the effective implementation of music-math integrated activities.

통합활동프로그램이 취약계층 여성독거노인의 자기효능감과 우울에 미치는 효과 (Effects of an Integrated Activity Program on the Self-Efficacy and Depression of Underprivileged Elderly Women Living Alone)

  • 오명수;김희숙
    • 한국보건간호학회지
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    • 제33권2호
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    • pp.258-269
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    • 2019
  • Purpose: This study examined the effects of an integrated activity program on the self-efficacy and depression of underprivileged elderly women living alone. Methods: The participants recruited were fifty underprivileged elderly women living alone in D city. Data were collected from September 1 to October 1, 2015. To test the effects of the integrated activity program, the participants were divided into two matched groups, an experimental group (N=25) and control group (N=25). The data were analyzed with a ${\chi}^2-test$, Fisher's exact probability test, and t-test using the SPSS/WIN 12.0 program. Results: After attending the integrated activity program, significant differences between the experimental group and control group were found for self-efficacy (t=9.19, p<.001) and depression (t=-18.31, p<.001). Conclusion: The results indicate that the integrated activity program enhances self-efficacy and reduces depression in underprivileged elderly women living alone. Therefore, this program is a good strategy that community mental health nurses can use to improve the mental health of underprivileged elderly women living alone.

통합적 미술감상활동이 유아의 그림표현능력에 미치는 영향 (Integrated Art Appreciation: Effects on Young Children's Drawing Expression)

  • 문은식;홍미숙
    • 아동학회지
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    • 제26권5호
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    • pp.233-244
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    • 2005
  • This study examined the effect of visual art appreciation integrated with expression(integrated art appreciation) upon young children's drawing expression. The pretest-posttest control group design was chosen for the study. Twenty kindergarten children assigned to the experimental group were exposed to a program of integrated appreciation activity for 10 sessions. Another group of 20 kindergarten children were assigned to the control group taught by the traditional art teaching methods. Analysis of Covariance was applied for data analysis. Children in the experimental group showed higher scores in such drawing expressions as line, color, shape, composition, and theme.

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A Universal Analysis Pipeline for Hybrid Capture-Based Targeted Sequencing Data with Unique Molecular Indexes

  • Kim, Min-Jung;Kim, Si-Cho;Kim, Young-Joon
    • Genomics & Informatics
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    • 제16권4호
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    • pp.29.1-29.5
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    • 2018
  • Hybrid capture-based targeted sequencing is being used increasingly for genomic variant profiling in tumor patients. Unique molecular index (UMI) technology has recently been developed and helps to increase the accuracy of variant calling by minimizing polymerase chain reaction biases and sequencing errors. However, UMI-adopted targeted sequencing data analysis is slightly different from the methods for other types of omics data, and its pipeline for variant calling is still being optimized in various study groups for their own purposes. Due to this provincial usage of tools, our group built an analysis pipeline for global application to many studies of targeted sequencing generated with different methods. First, we generated hybrid capture-based data using genomic DNA extracted from tumor tissues of colorectal cancer patients. Sequencing libraries were prepared and pooled together, and an 8-plexed capture library was processed to the enrichment step before 150-bp paired-end sequencing with Illumina HiSeq series. For the analysis, we evaluated several published tools. We focused mainly on the compatibility of the input and output of each tool. Finally, our laboratory built an analysis pipeline specialized for UMI-adopted data. Through this pipeline, we were able to estimate even on-target rates and filtered consensus reads for more accurate variant calling. These results suggest the potential of our analysis pipeline in the precise examination of the quality and efficiency of conducted experiments.

토지정보체계에서 지형 및 지적 정보의 공동 활용에 관한 연구 (Integrated Data Model of Topographic and Cadastral Information in LIS)

  • 이석군;김갑진
    • 대한토목학회논문집
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    • 제26권3D호
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    • pp.541-547
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    • 2006
  • 컴퓨팅 기술의 발전을 배경으로 유비쿼터스라는 새로운 패러다임에 따라 IT 기술과 밀접한 관계를 맺고 있는 GIS 분야가 유비쿼터스 환경의 주요기술인 위치추적기술을 중심으로 그 연구의 중요성이 증대되고 있다. 본 연구에서는 지적도와 지형도를 일치시킴으로써 지적도를 기본도로 사용하는 토지정보체계와 지형도를 기본도로 사용하는 지리정보체계, 도시정보체계, 시설물 관리체계 등이 통합자료모형을 가질 수 있는 가능성을 제시하였으며, 이를 위해 지적도를 지형도에 일치시키는 방법을 구현하여 공공부분의 GIS 구축시 자료의 공동 활용을 위한 표준화 방안을 제시하였다. 본 연구를 통하여, 자료의 일관성을 유지하고 자료의 공유를 통한 도로 및 지하매설물 관리 시스템과의 공동 운영 등 타정보화사업과 연계를 이루기 위한 데이터의 공동활용의 예를 제시할 수 있었다. 또한, 본 연구에서 수행한 지형 및 지적 정보의 공동 활용을 통해 공간적 정보통합 환경인 유비쿼터스 환경을 구축하기 위한 기반을 마련할 수 있었다.