• Title/Summary/Keyword: Multi-Variate Data Analysis

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Temporal Fusion Transformers and Deep Learning Methods for Multi-Horizon Time Series Forecasting (Temporal Fusion Transformers와 심층 학습 방법을 사용한 다층 수평 시계열 데이터 분석)

  • Kim, InKyung;Kim, DaeHee;Lee, Jaekoo
    • KIPS Transactions on Software and Data Engineering
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    • v.11 no.2
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    • pp.81-86
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    • 2022
  • Given that time series are used in various fields, such as finance, IoT, and manufacturing, data analytical methods for accurate time-series forecasting can serve to increase operational efficiency. Among time-series analysis methods, multi-horizon forecasting provides a better understanding of data because it can extract meaningful statistics and other characteristics of the entire time-series. Furthermore, time-series data with exogenous information can be accurately predicted by using multi-horizon forecasting methods. However, traditional deep learning-based models for time-series do not account for the heterogeneity of inputs. We proposed an improved time-series predicting method, called the temporal fusion transformer method, which combines multi-horizon forecasting with interpretable insights into temporal dynamics. Various real-world data such as stock prices, fine dust concentrates and electricity consumption were considered in experiments. Experimental results showed that our temporal fusion transformer method has better time-series forecasting performance than existing models.

A Study on the Analysis of Engine Accidents on Fishing Vessels (어선 기관손상 사고 분석에 관한 연구)

  • Kim, K.J.;Koh, D.K.;Kim, Y.S.;Kim, J.H.;Ahn, S.H.
    • Journal of Power System Engineering
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    • v.5 no.3
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    • pp.25-30
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    • 2001
  • The basis of all approaches to improve reliability of marine engines exists in analyzing the field data of troubles and failures in marine engines. In this paper, we analyzed the engine accidents of Korean fishing vessels for five years from 1995 to 1999, firstly according to engine systems, type of fishing vessels, engine makers, cylinder number, engine power and tonnage, secondly by using of principal component analysis method, one of multi-variate data analysis method. Finally, we proposed the measures to reduce engine accidents of fishing vessels for improvement of an environment in fishing industry.

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Analysis of Multi-variate Recurrent Fall Risk Factors in Elderly People Using Residential Assessment Instrument-Home Care - Comparisons between Single and Recurrent Fallers - (RAI-HC를 이용한 노인의 다면적 재낙상 위험요인 분석 -1회 낙상자와 재낙상자 비교-)

  • Yoo, In-Young
    • Journal of Korean Academy of Nursing
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    • v.41 no.1
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    • pp.119-128
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    • 2011
  • Purpose: This study was done to determine the risk factors for recurrent fallers (2+falls) compared to single fallers. Methods: Participants were 104 community-dwelling people 65 yr of age or older. The data were collected from June 1, 2008 to June 30, 2009 using the Residential Assessment Instrument-Home Care. Results: Over the past 90 days, 55.7% of the 104 participants fell once, and 44.2% experienced recurrent falls (2+falls). In comparison of recurrent fallers with single fallers, there were significant differences in scores on the following factors: gender ($X^2$=4.22, p=.040), age ($X^2$=5.74, p=.017), educational level ($X^2$=5.22, p=.022), living arrangements ($X^2$=35.02, p<.001), cardiovascular diseases ($X^2$=17.10, p<.001), hypertension ($X^2$=4.43, p=.035), diabetes mellitus ($X^2$=4.44, p=.035), glaucoma ($X^2$=13.95, p<.001), Minimal Data Set (MDS)-Pain (t=-2.56, p=.012), fear of falling ($X^2$=4.08, p=.034), reduced vision (t=-3.06, p=.003), MDS-activity of daily living (t=3.46, p=.001), MDS-Instrumental Activities of daily living (t=3.24, p=.002), cognition (MDS-Cognition Performance Scale) (t=3.40, p=.001), and 'difficulties entering and leaving the house' ($X^2$=4.53, p=.033). Conclusion: It is important to assess the risk factors for recurrent falls and develop differentiated strategies that will help prevent recurrent falls. Additionally, utilizing a standardized tool, such as RAI-HC, would help health professionals assess multi-variate fall risk factors to facilitate comparisons of different community care settings.

Comparison of Factors Associated with Intention to Receive Human Papillomavirus Vaccine Between Male and Female Undergraduate Students (남녀 대학생의 인유두종 바이러스 백신접종의도 영향요인 비교)

  • Kim, Hae-Won
    • Women's Health Nursing
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    • v.17 no.4
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    • pp.415-425
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    • 2011
  • Purpose: This study was done to identify and compare factors associated with intention to receive Human Papillomavirus (HPV) vaccine between male and female undergraduate students. Methods: In the fall of 2010, 479 students responded to self-administered questionnaires about their intention to receive HPV vaccine, HPV knowledges, HPV related involvements and optimistic bias, subject's characteristics including opinion about HPV vaccine. Mann-Whitney U test, uni-variate and multi-variate logistic regression were used for data analysis with SPSS/WIN. Results: Intention to receive vaccine were 22.0% of men and 25.0% of women. There were significantly different in HPV knowledge (Z=-2.74, p=.006), optimistic bias (Z=-4.60, p<.001), vaccine is necessary for women (Z=-4,30, p<.001), vaccine is necessary for men (Z=-4.37, p<.001), vaccine is necessary if only symptom exist (Z=-4.52, p<.001), but there were not different in intention to receive vaccine, involvement between men and women. Concern about vaccine safety (OR=3.19, 95% CI 1.63~6.23) was determinant of intention to receive HPV vaccine for men. Conclusion: This study showed gender differences in HPV knowledge, HPV related optimistic bias and opinion about HPV vaccine, which would be assessed and well managed in tailored HPV education for enhancing HPV vaccine acceptance.

A Simple Implementation of Dynamical Memory Allocation in Old-fashioned Singleton's Mixed-radix Fast Fourier Transformation Code (구식 싱글턴 혼합기수 고속푸리에변환 코드에 대한 간단한 동적메모리 할당방법 프로그래밍)

  • Kim, In-Gee
    • Journal of the Korean Magnetics Society
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    • v.22 no.2
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    • pp.33-36
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    • 2012
  • We propose a simple prescription for resolving the general-$N$ problem existing in the old-fashioned mixed-radix fast Fourier transformation FORTRAN subroutine by Singleton in 1968. After a brief investigation on the problem, we discuss our prescription with the worst case analysis within the dynamical allocation. The analysis reveals that our implementation is superior, at least for multi-variate data set, than previously proposed data copying methods.

Evaluation of Agricultural Drought Prevention Ability Based on EOF Analysis and Multi-variate Time Series Model (EOF 해석 및 다변량시계열 모형을 이용한 농업가뭄 대비능력의 평가)

  • Yoo Chul-Sang;Kim Dae-Ha;Kim Sang-Dan
    • Journal of Korea Water Resources Association
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    • v.39 no.7 s.168
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    • pp.617-626
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    • 2006
  • In this study 3-month SPI data from 59 stations over the Korean peninsula are analyzed by deriving and spatially characterizing the EOFs. Also, the coefficient time series of EOF are applied to the multi-variate time series model to generate the time series of 10,000 years, to average them to estimate the areal average, and to decide the maximum drought severity for given return periods. Finally, the drought prevention ability is evaluated by considering the effective storage of dam within the basin and the size of agricultural area. Especially for the return period of 30 years, only the Han river basin has the potential to overcome the drought. Other river basins like the Youngsan river basin, which has a large portion of agricultural area but less water storage, are found to be very vulnerable to the rainfall-sensitive agricultural drought.

Teacher's acceptance of digital games and related factors (학교 장면에서 디지털 게임 이용에 대한 교사의 수용도와 이에 영향을 미치는 요인)

  • Kim, Jee Yeon;Doh, Young Yim
    • Journal of Korea Game Society
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    • v.17 no.2
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    • pp.123-134
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    • 2017
  • The purpose of this study is to investigate how teachers' acceptance of digital games is constructed in the school context and what factors influence teachers' acceptance. To do this, we conducted a survey on teachers, school counselors, and professional counselors in August 2016. A total of 250 data were analyzed. As a result, it was confirmed that the teachers' acceptance of digital game is composed of 5 factors - need for supervision, willingness to use, concern & monitoring, acceptance as alternative activities, acceptance efficacy. As a result of multi-variate multiple regression analysis, it was found that the teacher's age, the 2 factors of digital media literacy, the teacher's attitude toward student's digital game usage, and teacher's evaluation of the impact of digital games on school achievement have different effects on the 5 factors of teachers' acceptance. This study is meaningful to identify how teachers' acceptance of digital games is constructed and to explore the main factors affecting teachers' acceptance of digital games.

A Study on the Relationship of Air Pollution and Meteorologic Factors in a Specific Site (서울 일부지점의 대기오염 농도와 기상인자의 관련성 연구)

  • 신찬기;김윤신
    • Journal of environmental and Sanitary engineering
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    • v.7 no.2
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    • pp.141-152
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    • 1992
  • Simple correlation analysis, factor analysis, and multi-verite analysis have been performed to analyze the relationship between air pollution and meteorological factors for air pollution and meteorological data measured at Kwanghwamun in Seoul during the period of one year (January 1990" December 1990). As a result of simple correlation and factor analysis, $SO_2$, TSP and CO concentrations have shown high negative correlation with temperature and among these indicating that these are related with pollutants emission trend based upon heating fuel usage. Ozone has a good correlation with solar radiation and relative humidity to have a closed relation with $0_3$ generation reaction mechanism. The result of multi-variate correlation analysis shows that the concentration of $SO_2$ and CO are adequate for correlation model with ambient temperature and wind speed and 0$_{3}$ concentrations are adequate for that with solar radiation and wind speed. $SO_2$ and CO levels are considered to be affected first of all by heating fuel usage as a emission source and wind speed as a dispersion effect. The $SO_2$ concentration in the condition that the temperature fall below zero is explained by multiplicative model with wind speed, only one variable.

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The Clothing Purchasing Behaviors between Korean and American College Women

  • Im, Sung-Kyung;Han, Myung-Sook
    • The International Journal of Costume Culture
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    • v.9 no.2
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    • pp.149-159
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    • 2006
  • The purpose of the study is to compare the clothing purchasing behaviors between Korean and American college women and to gather a basic data to establish a clothing marketing strategy and effective world marketing strategy in the fashion marketing. 1,150 questionaries were distributed to 3 universities in Korea and 3 universities America from March, 15 to 30 in 2006 and a total of 800 questionnaires, 466 from Korea and 334 from American, were utilized in the final analysis. The SPSS 12.0 was used to analyze the technical statistics like average and frequency, t-test, X$^2$, factor analysis and multi-variate analysis of variance.

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Investigation on Factors Affecting Adolescent Depression: Using Korean Children and Youth Panel Survey (청소년 우울증 영향요인에 관한 연구 : 아동·청소년 패널데이터 이용)

  • Choi, Young Jin;Gang, Hong Ik;Kim, Dong Wook;Seong, Gyu Hwan;Han, Whiejong M
    • The Journal of Korean Society for School & Community Health Education
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    • v.18 no.3
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    • pp.45-53
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    • 2017
  • Objectives: This study aimed to analyze the association between adolescent depression and personal factors such as interpersonal relationship and personal characteristics. Methods: The data used for this study was taken from the 2014 Korean Children and Youth Panel Survey. Of those 2,351 subjects in a data set, data of 1,938 subjects were analyzed after excluding 413 subjects with missing information. Hierarchical regression analysis was conducted for multi-variate analysis. In addition, controlling effects of ego-resiliency was analyzed. SPSS 22.0. was utilized for statistical analyses. Results: The study found that the depressive index was higher in women than men, and lower in adolescent who has a good relationship with parents and friends. This study also found that adolescents with high ego-resiliency are more vulnerable to depression. Conclusions: It is recommended to understand and to utilize ego-resiliency of adolescents, in order to reduce adolescents depression. Promoting good relationship with parents and friends will also positively impact to lower adolescents depression.

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