• Animal cells and systems
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• v.16 no.1
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• pp.34-40
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• 2012

Seven species of the genus $Melanaphis$ van der Goot are recognized in Korea, including $M.$ $sorini$ Halbert and Remaudi$\grave{e}$re new to Korea. Morphometric analysis is performed based on 27 major characteristics to determine the morphometric correlation between species and to suggest useful diagnostic characters in this species complex. We provide the identification key based on the results of the morphometric analysis.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.24 no.67
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• pp.37-48
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• 2001

Information Systems Planning(ISP) has gained considerable interest among researchers and practioners in recent years because of the large investments that firms have made in IS and the increasingly strategic nature of the impact of information systems on organization performance. This study aims at analyzing IS process factors influencing ISP's effectiveness. The data collected were analyzed using statistical techniques if canonical correlation analysis. The following results were obtained. There was significant relationship between ISP process and ISP's effectiveness. Specially, business-led approach affects ISP problems. To conclude, the result of this study have practical implications that CEO or IS manager must consider IS process factors to improve ISP's effectiveness.

• Korean Journal of Child Studies
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• v.17 no.2
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• pp.19-32
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• 1996

The purpose of this study was to investigate the relationship between adjustment, temperament, and mothers' childrearing behavior. The subjects were 132 three to five-year old children. The research instruments included TRS(Temperament Rating Scale), the modified IPBI(Iowa Parent Behavior Inventory), and PAQ (Preschool Adjustment Questionnaire). The data were analyzed by percentiles and canonical correlation analysis. The results were as follows : Among the five temperament factors and four childrearing factors, the best predictor of children's adjustment was activity temperament. The next one was Limit Setting of childrearing behavior. Among the five adjustment measures, the one predicted best by children's temperament and mothers' childrearing behavior was Adjustment to Preschool Routines.

• Journal of the Korean Home Economics Association
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• v.29 no.1
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• pp.125-137
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• 1991

This study aims to offer basic data for development of the three generations sharing house plan, through finding out the relationship between family characteristics and the housing needs of the middle aged living in the middle and small cities. The 1029 questionnaires were used for this study, and data were analysed by canonical correlation analysis, factor analysis and multiple regression. The results are as follows. Their family characteristics influence housing needs for the three generations sharing house. Especially groups of female, neuclear family, family of higher S.E.S., less number of children. family living in the apartment houses and owner occupied house prefer more privacy between generations in the three generations sharing house.

• Communications for Statistical Applications and Methods
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• v.22 no.5
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• pp.415-434
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• 2015

In this paper we overview the literature on common features analysis of economic time series. Starting from the seminal contributions by Engle and Kozicki (1993) and Vahid and Engle (1993), we present and discuss the various notions that have been proposed to detect and model common cyclical features in macroeconometrics. In particular, we analyze in details the link between common cyclical features and the reduced-rank regression model. We also illustrate similarities and differences between the common features methodology and other popular types of multivariate time series modelling. Finally, we discuss some recent developments in this area, such as the implications of common features for univariate time series models and the analysis of common autocorrelation in medium-large dimensional systems.

• Communications for Statistical Applications and Methods
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• v.30 no.6
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• pp.561-575
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• 2023

Brain network analysis has attracted the interest of neuroscience researchers in studying brain diseases. Magnetoencephalography (MEG) is especially proper for analyzing functional connectivity due to high temporal and spatial resolution. The application of graph theory for functional connectivity analysis has been studied widely, but research on network modeling for MEG still needs more. Temporal exponential random graph model (TERGM) considers temporal dependencies of networks. We performed the brain network analysis, including static/temporal network statistics, on two groups of epilepsy patients who removed the left (LT) or right (RT) part of the brain and healthy controls. We investigate network differences using Multiset canonical correlation analysis (MCCA) and TERGM between epilepsy patients and healthy controls (HC). The brain network of healthy controls had fewer temporal changes than patient groups. As a result of TERGM, on the simulation networks, LT and RT had less stable state than HC in the network connectivity structure. HC had a stable state of the brain network.

• Communications for Statistical Applications and Methods
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• v.31 no.2
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• pp.247-262
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• 2024

In this paper, we explore nonlinear sufficient dimension reduction (SDR) methods, with a primary focus on establishing a foundational framework that integrates various nonlinear SDR methods. We illustrate the generalized sliced inverse regression (GSIR) and the generalized sliced average variance estimation (GSAVE) which are fitted by the framework. Further, we delve into nonlinear extensions of inverse moments through the kernel trick, specifically examining the kernel sliced inverse regression (KSIR) and kernel canonical correlation analysis (KCCA), and explore their relationships within the established framework. We also briefly explain the nonlinear SDR for functional data. In addition, we present practical aspects such as algorithmic implementations. This paper concludes with remarks on the dimensionality problem of the target function class.

• Journal of Korea Technology Innovation Society
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• v.19 no.3
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• pp.465-482
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• 2016

Previous researches have introduced various ways to analyze the impact of standardization on innovation while the works are not only small in number but based on interview or case study. This paper addresses the impact of standardization activities within South Korean industries on technological innovation applying an empirical analysis of standardization activities and technological innovation. Drawing on Korean Industrial Standards Classification from panel data of 2003 to 2012, we employed corresponding data of each industrial classification: Number of standards, Accumulated number of standards, Number of patents applied in Korea, Sales, Operational profit, Intangible asset, and R&D invest. In the first model, we run panel data models employing the number of patents applied in Korea as an independent variable, and the number of standards, accumulated number of standards, sales, and operational profit as dependent variables to observe industrial impacts upon the relationship between standards and patents, along with time lagged consideration. The result shows that number of standards are revealed to have a negative influence on patent applications in the year of research, and no significant effect appears for the next two years while positive effect shows up on the third year. Meanwhie, accumulated number of standards turned out to have positive effects on patent applications in Korea. This implies it takes time for innovation subjects to embrace newly established standards while having a significant amount of positive effect on technological innovation in the long term. In the second model, we use canonical correlation analysis to find industrial-wide characteristics. The result of this model is equivalent to the result of panel data analysis except in a few industries, where some industry specific characteristics appear. The implications of our results present that Korean policy makers have to take account of industrial effects on standardization to promote technological innovation.

• Korean Journal of Environment and Ecology
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• v.28 no.3
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• pp.314-325
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• 2014

We studied fish fauna at 10 study sites in Ungcheon stream for 4 times from April to October, 2011 to investigate the influence of artificial structures such as dam (with fish-way) and weir (without fish-way), and abandoned mine on fish community. A total of 12 families, 36 species of fishes were collected. Dominant species was Zacco platypus (23.4%) and subdominant species was Zacco koreanus (20.5%). Ten species (27.8%) of Korean endemic species and Micropterus salmoides, exotic species, were observed during the study period. Endangered species of Korea such as Pseudopungtungia nigra and Liobagrus obesus, and Korean endemic species, Coreoperca herzi, which are vulnurable for water quality and had been observed in previous study, were not identified in this study. According to the cluster analysis, Ungcheon stream were divided into three groups consisting upstream (St.1, St.2, St.3), midstream (St.4, St.5, St.6, St.7), downstream (St.8, St.9, St.10). Community structure similarity between upper and lower site of Boryeong dam with fish-way (St.6-St.7) was high, whereas that of weir, lack of fish-way (St.7-St.8) showed little similarity indicating that fish-way was required. According to the canonical correlation analysis, high level of conductivity and salinity at upstream was detected and Misgurnus mizolepis, and endemic species of Korea such as Silurus microdorsalis, Coreoleuciscus splendidus and Iksookimia koreensis were observed at this part of the stream. Since Korean endemic species, Squalidus gracilis majimae cohabit with exotic species, M. Salmoides at downstream whose width is wide and water velocity is low, protection was needed for these endemic species.

• Journal of Korean Public Health Nursing
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• v.3 no.1
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• pp.18-37
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• 1989

This study was done in order to analyze the factors which influenced the performance level of community health practitioners' task. Interview survey was done during the period from August to October, 1986. Interviewee were 166 CHPs among total of 217 CHPs in Kyonggi province area. Multiple stepwise regression and canonical correlation analysis were used to identify major factors influenced to perform community health practitioners' task. The results of this study were summarized as follows: 1. General characteristics of CHPs 1) Personal characteristics The average age of CHPs was 37.8 years and their marital status was $77.6\%$ of married, educational back-ground was $65.3\%$ of junior college graduation. Their job career was $38.6\%$ of between 1-3 years, $33.3\%$ of between 3-5 years, $22.2\%$ of less than 1 years. Most of CHPs$(62.8\%)$ were fully satisfied with their job, $33.3\%$ were moderately, and $3.8\%$ were not satisfied. 2) Working environmental condition Only $31.7%$ of CHPs were satisfied with their working condition of primary health post, $26.6\%$ were not satisfied. Half of CHPs$(52.5\%)$ replied having good cooperation with health center, $10.1\%$ replied bad. Cooperation with health subcenter was good in $32.9\%$, and bad in $21.9%$. Cooperation with private health institutions was good in $34.2\%$, bad in $21.6%$. 2. Performance level of community health practitioners' task Among a total of 52 contents of their functions medical history taking. physical examination, referral of diagnostic laboratory work-up($(86.4\%)$, health assessment of pregnant women$(82.1\%)$, development of health information system$(79.4\%)$, supervision of health workers $(78.4\%)$, follow-up of family planning acceptors$(77.3\%)$, and follow-up of family planning acceptors' side effects$(77.3\%)$ were actively performed. Diagnosis of pregnancy$(62.1\%)$, sampling of drinking water for quality test$(52.5\%)$, making list of equipment' & supplies $(51.5\%)$, evaluation of primary health post activities $(37.6\%)$, organization of village health workers$(32.4\%)$ and management of village health workers $(30.1\%)$ were poorly performed. 3. Stepwise multiple regression analysis of job function The factors which influenced the performance level of community health practitioners' function were age, marital status, educational level, job career, job satisfaction, satisfaction of working environment of primary health post, cooperation of health center, cooperation of health center, cooperation of private health instiutions in orders. These 9 variables were able to explain job function from $25.7\%$ of program planning to $6.7\%$ of management of common disease. 4. Canonical correlation analysis between the performance of function and general characteristics of CHPs. Cooperation of private health institutions was found to be the factor influencing task performance of community organization, management of primary health post, technical supervision of health personnels. Job satisfaction of CHPs was also found to be the factor influencing task performance of family planning, management of common disease and maintenance of health information system.