• 제목/요약/키워드: 다차원 자료 분석

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A Study on Multi-dimensional Poverty of Female Youth in Korea (우리나라 여성청년의 다차원적 빈곤에 관한 연구)

  • Yoo, Jiyoung
    • Journal of Digital Convergence
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    • v.17 no.10
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    • pp.85-91
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    • 2019
  • Present study notes that youth poverty is not only an income deficit, but also a deficit in various dimensions of life such as housing, work and health deficit. Multidimensional poverty is measured by four dimensions: income, work, housing and health. The sample is a 2630 one-person household female youth pooled from the Korea Welfare Panel 10-Year Data. The analysis tool used SPSS statistical program, and the analysis framework was the deficiency rate by dimension, the correlation analysis between deficiency dimension, and the overlapping rate of N dimension poverty. As a result, women's youth in Korea had higher deficit rate in terms of work and housing than other dimensions, and the proportion of women youth who were both poor in work and housing at the same time was also relatively higher than in other cases. Based on these results, this study proposes the construction of customized job services, job matching with small and medium-sized enterprises and allocation of one young woman's household among the targets of long-term chartered housing. Female youth's sharing-economy association should be considered as alternatives.

정서관련 어휘 분석을 통한 내적 상태의 차원 연구

  • 김영아;김진관;박수경;오경자
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 1997.11a
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    • pp.209-214
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    • 1997
  • 본 연구에서는 한국어의 정서관련 어휘분석을 통하여 내적체계의 차원을 알아보고자 하였다. 이를 위해, 연구1에서는 내적경험을표현하는 데 자주 쓰이는 어휘들을 자유연상을 통해 100개를 선정하고 유사성과 빈도평가작업을 통해 대표성을 갖는다고 판단되는 어휘22개를 선정하였다. 22개의 쌍별유사성을 7점척도로 평정한 자료를 다차원분석한 결과, 1차원(63%)은 쾌/불쾌, 2차원(25%)은 각성수준으로 해석될 수 있었고, 이는 기존의 차원모형의 주장과 거의 유사한 결과였다. 다른 어휘목록을 사용하였을 때의 결과와 비교하기 위해, 연구 2에서는 표정을 보고 정서를 추론하는 실험을 통해 자주 언급된 단어를 빈도순으로 22개 선정하였다. 이를 이용하여 같은 방법으로 다차원분석한 결과 연구 3에서는 연구 1,2의 어휘목록이 전체 내적체계의 차원 공간에서 차지하는 상대적인 위치를 비교하기 위해, 두 어휘목록을 포함한 83개 내적체계의 단어를 차원평정시켜 분석하였고, 연구결과가 차원모형에서 갖는 시사점이 논의 되었다.

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Dimension of the Emotion Structure through the Analysis of Emotion related terms in Korean Language (정서관련 어휘 분석을 통한 내적 상태의 차원 연구)

  • 김영아;김진관;박수경;오경자;정찬섭
    • Science of Emotion and Sensibility
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    • v.1 no.1
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    • pp.145-152
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    • 1998
  • 본 연구에서는 한국어의 정서관련 어휘분석을 통하여 내적체계의 차원을 알아보고자 하였다. 이를 위해 연구1에서는 내적경험을 표현하는 데 자주 쓰이는 어휘들을 자유연상을 통해 100개를 선정하고 유사성과 빈도평가 자료를 다차원분석한 결과, 1차원(63%)은 불쾌, 2차원(25%)은 각성수준으로 해석될 수 있었고, 이는 기존의 차원모형의 주장과 거의 유사한 결과였다. 다른 이휘목록을 사용하였을 때의 결과와 비교하기 위해, 연구 2에서는 표정을 보고 정서를 추론하는 실험을 통해 자주 언급된 단어를 빈도순으로 22개 선정하였다. 이를 이용하여 같은 방법으로 다차원 분석한 결과 역시 같은 차원들이 얻어졌으나, 1차원의 비중이 훨씬 커서(89%)각성수준의 설명력은 (6%)상대적으로 작았다. 연구 3에서는 연구 1,2의 이휘목록이 전체 재적체계의 차원 공간에서 차지하는 상대적인 위치를 비교하기 위해, 두 어휘목록을 포함한 83개 내적체계의 단어를 차원평정시켜 분석하였고, 연구결과가 차원모형에서 갖는 시사점이 논의되었다.

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Influencing Factors Evaluation of Flood Damage to Residential Building by Survey Data (설문조사 자료를 활용한 주거건물 홍수피해 영향인자 평가)

  • Choi, Cheon Kyu;Kim, Gil Ho;Kim, Kyung Tak;Choi, Yun Seok
    • Proceedings of the Korea Water Resources Association Conference
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    • 2016.05a
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    • pp.575-575
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    • 2016
  • 홍수로 인한 주거건물의 경제적 피해는 침수심, 침수기간, 유속 등의 재난인자와 제내지에 노출된 사회 경제적 인자들 간의 복합적인 작용으로 발생하지만, 다차원홍수피해산정법을 비롯한 대부분의 모형에서는 침수심 만을 고려하고 있다. 최근 국외에서는 홍수피해와 영향인자 간의 관계를 규명하여 홍수피해액 평가 시 침수심 외 중요한 기타 인자를 고려하는 연구가 시도된 바 있으나, 국내에서는 이것과 관련한 연구가 그동안 거의 진행된 바 없다. 이에 본 연구에서는 주거건물을 대상으로 홍수피해 영향인자를 규명하고자 과거 피해지역을 대상으로 설문조사를 시행하여 자료를 수집하였으며, 설문조사에 앞서 사전 문헌연구를 바탕으로 수리/수문학적 인자, 건물특성인자, 예방인자, 조기경보/조치인자, 사회 경제적인자, 피해인자로 설문항목을 크게 구분하여 설문지를 설계하였다. 설문조사는 2014년 8월에 광범위하게 피해가 발생한 부산광역시를 대상으로 1대1면접조사 방식으로 진행하였으며, 수집된 자료로부터 상관분석, 데이터마이닝 등의 통계적 분석을 통해 침수심 외 몇몇 중요한 피해액 영향인자를 확인할 수 있었다. 본 연구를 통해 평가된 홍수피해 영향인자는 향후 홍수피해평가 모델을 개발하거나 홍수피해저감을 위한 세부적인 계획에 기여할 것으로 기대된다.

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A review on the t-distributed stochastic neighbors embedding (t-SNE에 대한 요약)

  • Kipoong Kim;Choongrak Kim
    • The Korean Journal of Applied Statistics
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    • v.36 no.2
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    • pp.167-173
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    • 2023
  • This paper investigates several methods of visualizing high-dimensional data in a low-dimensional space. At first, principal component analysis and multidimensional scaling are briefly introduced as linear approaches, and then kernel principal component analysis, self-organizing map, locally linear embedding, Isomap, Laplacian Eigenmaps, and local multidimensional scaling are introduced as nonlinear approaches. In particular, t-SNE, which is widely used but relatively unfamiliar in the field of statistics, is described in more detail. We also present a simple example for several methods, including t-SNE. Finally, we provide a review of several recent studies pointing out the limitations of t-SNE and discuss the future research problems presented.

GIS Based Distributed Flood Damage Assessment (GIS기반의 분포형 홍수피해산정 기법)

  • Yi, Choong Sung;Choi, Seung An;Shim, Myung Pil;Kim, Hung Soo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.3B
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    • pp.301-310
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    • 2006
  • Typically, we needs enormous national budget for the flood control project and so the project usually has big influence on the national economy. Therefore, the reliable estimation of flood damage is the key issue for the economic analysis of the flood control project. This study aims to provide a GIS based technique for distributed flood damage estimation. We consider two aspects of engineering and economic sides, which are the inundation analysis and MD-FDA (Multi-Dimensional Flood Damage Analysis), for the flood damage assessment. We propose the analysis framework and data processing using GIS for assessing flood damages. The proposed methodology is applied to the flood control channel project for flood disaster prevention in Mokgamcheon/Dorimcheon streams and this study presents the detailed GIS database and the assessment results of flood damages. This study may have the worth in improving practical usability of MD-FDA and also providing research direction for combining economic side with the engineering aspect. Also this distributed technique will help decision-making in evaluating the feasibility of flood damage reduction programs for structural and nonstructural measures.

The Analysis of Learners' Perception of Mobile Learning Materials (모바일 학습 자료에 대한 학습자 인식 분석)

  • Han, Hyeong-Jong
    • The Journal of the Korea Contents Association
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    • v.20 no.3
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    • pp.452-461
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    • 2020
  • The purpose of this study is to identify how learners perceive mobile technology-based learning materials. For this purpose, two methods were utilized. Using multi-dimensional scale(MDS), it was identified that how learners perceive each type of learning materials using mobile technology. Through semantic differential scale(SDS), learners' perception of the difference between mobile learning materials and existing traditional learning materials was analyzed. As a result, learning materials using mobile technology were classified into as follows : the dimension of interaction with the content; the sense of presence. Learners perceived that mobile learning materials had characteristics of 'active', 'learner-centric', 'multi-sensory', and 'stimulating interest'. The significance of this study was to empirically and comprehensively investigate learners' perception for the characteristics of various mobile learning materials.

Visualizing multidimensional data in multiple groups (다그룹 다차원 데이터의 시각화)

  • Huh, Myung-Hoe
    • The Korean Journal of Applied Statistics
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    • v.30 no.1
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    • pp.83-93
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    • 2017
  • A typical approach to visualizing k (${\geq}2$)-group multidimensional data is to use Fisher's canonical discriminant analysis (CDA). CDA finds the best low-dimensional subspace that accommodates k group centroids in the Mahalanobis space. This paper proposes an alternative visualization procedure functioning in the Euclidean space, which finds the primary dimension with maximum discrimination of k group centroids and the secondary dimension with maximum dispersion of all observational units. This hybrid procedure is especially useful when the number of groups k is two.

Coupling Simulation with Multi-dimensional Models for River Flow (다차원 모형을 이용한 하천흐름 연계모의)

  • Ahn, Jung Min;Hur, Young Teck;Lyu, Siwan
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.33 no.1
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    • pp.137-147
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    • 2013
  • It is essential to understand the hydraulic characteristics of rivers for increasing flood-control capacity and operating hydraulic structures efficiently. Multi-dimensional models can be the proper measures to obtain the detailed information on the hydraulic characteristics of rivers. But huge amount of data and time-consuming work have been the obstacle for applying multi-dimensional models. In this study, simulation technique with multi-dimensional model(EFDC), coupled with COSFIM and FLDWAV, has been developed and applied to the real river system for verification. Developed technique can offers spatial and grid unit information as well as line and section unit information from 1-D modeling. It is considered that the coupling simulation technique can provide useful hydraulic information for river management and treatment.

Transport Efficiency Analysis of the Lines of Urban Railway using Data Envelopment Analysis (DEA를 활용한 도시철도 노선별 수송효율성 분석)

  • Kim, Soo Hyun;Jung, Hun Young;Lee, Won Gyu
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.34 no.2
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    • pp.605-616
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    • 2014
  • The purpose of this study is to analyze transport efficiency of each of the 17 urban railway lines being operated by national public agencies using Data Envelopment Analysis (DEA) and to seek strategies for improving efficiency of the urban railway system. The study identified the economies of scale derived from these values of efficiency and examined the effects on cost for free ride loss and profit of transport by the fare system as the external factor. At the time, Transport profits are estimated by two production factors such as the number of vehicles and service frequency derived from multiple regression. Finally, the measures to improve the efficiency were presented in terms of profitability in the national urban railway line by applying the values of efficiency derived from DEA to multidimensional scaling (MDS).