• The Korean Journal of Applied Statistics
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• v.9 no.1
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• pp.45-52
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• 1996

In this paper, we describe the basic properties of the parallel coordinate plots and propose a dynamic parallel coordinate plot. This dynamic parallel coordinate plot can be used as a dynamic graphics tool for multivariate data analysis.

• The Korean Journal of Applied Statistics
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• v.16 no.1
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• pp.55-69
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• 2003

In this article, we propose the weighted LAD (least absolute deviations) estimators for multi-dimensional contingency tables and drive an estimation method to estimate the proposed estimators. To illustrate the robustness of the estimators, simulation results are presented for several models Including log-linear models and models for ordinal variables in multidimensional contingency tables. Examples were also introduced.

• Journal of Korean Society for Geospatial Information Science
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• v.19 no.4
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• pp.71-80
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• 2011

A simple and an improved methods for the assessment of flood damage were used in previous studies, and the Multi-Dimensional Flood Damage Assessment (MD-FDA) has been applied since 2004 in Korea. This study evaluated flood damage of dam downstream using considering MD-FDA method based on GIS data. Firstly, flood water level with FLDWAV (Flood Wave routing) model was input into cross section layer based on enforcement drainage algorithm, water depth grid data were created through spatial calculation with DEM data. The value of asset of building and agricultural land according to local government was evaluated using building layer from digital map and agricultural land map from landcover map. Also, itemized flood damage was calculated by unit price to building shape, evaluated value of housewares to urban type, unit cost to crop, tangible and inventory asset of company connected with building, agricultural land, flooding depth layer. Flood damage in rainfall frequency of 200 year showed 1.19, 1.30 and 1.96 times to flood damage in rainfall frequency of 100 year, 50 year and 10 year respectively by flood damage analysis.

• The Journal of the Korea Contents Association
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• v.19 no.6
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• pp.58-71
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• 2019

The purpose of this study is to explore the multi-dimensionality and the differences of the career success that is revealed by the employee's perception. In order to fulfill the research purpose, LDA topic modeling has applied to extract latent topics of career success from 126 Korean employees' open-end survey questionnaires. The extracted latent topics are social recognition, continuing service within an organization, expertise, financial rewards, and pursuing personal meaning. The occurrence probability of each topic was different by individual characteristics such as gender, education, position. Study findings showed there is multi-dimensionality in career success, and there are differences of topic occurrence probability by demographic characteristics. Additionally, this study showed how to apply the recently developed machine learning approach in order to reduce the researcher's bias by adapting the LDA topic modeling to the qualitative open-ended survey data.

• Journal of the Korea Society of Computer and Information
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• v.5 no.2
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• pp.158-164
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• 2000

The purpose of this study is concerned with evaluating management performance in electronics and communication companies using DEA(Data Envelopment Analysis) DEA is a linear programming based technique for measuring the relative performance of organizational units where the Presence of multiple inputs and outputs makes comparisons difficult. In this research. input variables are raw-material costs, number of employees, and production capacity Real production, sales revenue and net earning are suggested as output variables. Management performance of most companies are increased or equal during 97 and 98 fiscal year and input & output variables show high correlation.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.05a
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• pp.423-426
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• 2008

한국증권선물거래소의 유가증권 매매체결시스템은 안정적이고 신속한 데이터 처리에 초점을 둔 시스템이다. 인터넷과 HTS(Home Trading System)의 대중화로 인해 대량의 데이터로부터 적시에 정보를 추출하고 분석하고자 하는 요구가 증가하고 있다. 그러나 현재의 통계정보시스템은 이와 같은 요구를 수용하기 어려우며 개발자의 별도 노력이 요구된다. 또한 목표성능에 대한 요구가 매우 높아짐에 따라 시스템 및 어플리케이션의 증설과 개선작업이 빈번하지만 그 효과를 예측하기 어려우며 정량화 된 근거자료의 부재로 의사결정을 지연시킨다. 따라서 이와 같은 요구사항들을 해결하기 위해 기존의 통계정보시스템을 활용하고 추가적인 데이터들을 다양한 차원에서 분석 가능하도록 웨어하우스 데이터베이스를 구축하며 성능예측을 위한 요소들을 추출하고 데이터마이닝을 수행하여 의사결정에 도움을 줄 수 있는 다차원 모델링 기반의 거래분석 시스템을 제안한다. 거래분석 시스템의 구축으로 사용자는 웹상에서 적시에 다차원 분석보고서를 생성할 수 있다. 또한 관리자는 외부적 환경변화에 따른 향후 시스템 성능 감소를 예측할 수 있으며 내부적 요인을 제어하여 이를 상쇄할 수 있는 방안을 찾을 수 있게 된다.

• Science of Emotion and Sensibility
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• v.2 no.2
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• pp.53-66
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• 1999

현 연구에서는 음성합성의 기초자료 수집을 위하여 대화체 감정표현의 음성적인 패러미터를 찾아내려고 시도하였다. 이를 이하여 일단 가장 자주 사용되는 대화체 감정표현자료가 수집되었고 이들 표현을 발화할 때 가장 주의를 기울이는 발성의 특징들이 탐색되었다. 구어체적 감정표현의 타당한 데이터베이스를 작성하기 위하여 20대와 30대로 연령층을 구분하여 자료를 수집, 분석하였다. 그 결과 다양한 감정표현의 발화특성들은 음의 강도, 강도변화, 그리고 음색이 중요한 기준으로 작용하는 것으로 나타났다. 다차원분석 결과 산출된 20대와 30대의 음성표현이 도면은 개별정서들이 음성의 잠재차원 상에서 상당한 일관된 특징을 지님을 보여 주었다.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1999.11a
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• pp.277-291
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• 1999

현 연구에서는 음성합성의 기초자료 수집을 위하여 대화체 감정표현의 음성적인 패러미터를 찾아내려고 시도하였다. 이를 위하여 일단 가장 자주 사용되는 대화체 감정 표현자료가 수집되었고 이들 표현을 발화할 때 가장 주의를 기울이는 발성의 특징들이 탐색되었다. 구어체적 감정표현의 타당한 데이타베이스를 작성하기 위하여 20대와 30로 연령층을 구분하여 자료를 수집, 분석하였다. 그 결과 다양한 감정표현의 발화특성들은 음의 강도, 강도변화, 그리고 음색이 중요한 기준으로 작용하는 것으로 나타났다. 다차원 분석 결과 산출된 20대와 30대의 음성표현의 도면은 개별정서들이 음성의 잠재차원 상에서 상당한 일관된 특징을 지님을 보여 주었다.

• Science of Emotion and Sensibility
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• v.26 no.2
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• pp.25-38
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• 2023

Among the discussions on affective representation, the first is to explain the affective representation in the dimensions, and the second is to explain the affective representation according to the modality. In previous studies, to explain affective representation, valence models (signed valence, unsigned valence) and Modality-generality models (modality-general, modality-specific) were presented. In this study, we compared models presented in the previous study using the recently published ASMR to confirm which models explain affective representation well. The data used in this study were behavioral rating values collected by Kim & Kim (2022), and these were obtained for ASMR stimuli that were divided into three affective types (negative, neutral, and positive) and two modalities (auditory and audiovisual). Then, a multidimensional scaling, a representational similarity analysis with a two-way repeated measures ANOVA, and a multiple regression analysis with a two-way repeated measures ANOVA were performed. The results revealed that signed valence and modality-general distinguished between affective types of stimuli better than unsigned valence and modality-specific. Similar to the results of multidimensional scaling, the results of a representational similarity analysis and a multiple regression also showed that the signed valence and modality-general significantly explained affective representation better than the unsigned valence and the modality-specific. These results suggest that the model in which positive and negative are located at the opposite ends of the one dimension explains the affective representation of ASMR well, and that the affective representation was consistent regardless of modality.

• Journal of KIISE:Databases
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• v.29 no.6
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• pp.429-440
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• 2002

Temporal databases manage time-evolving data. They provide built-in supports for efficient recording and querying of temporal data. The temporal aggregate in temporal databases is an extension of the conventional aggregate to include time concept on the domain and range of aggregation. This paper focuses on multidimensional temporal aggregation. In a multidimensional temporal aggregate, we use one or more general attributes as well as a time attribute on the range of aggregation, thus it is a useful operation for historical data warehouse, Call Data Records(CDR), etc. In this paper, we propose a structure for multidimensional temporal aggregation, called PTA-tree, and an aggregate processing method based on the PTA-tree. Through analyses and performance experiments, we also compare the PTA-tree with the simple extension of SB-tree that was proposed for temporal aggregation.