• 한국주거학회논문집
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• 제20권1호
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• pp.59-70
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• 2009

The purpose of the study is to suggest the amount of space for each behavior according to the classification of behavior in the housing to plan the optimal floor space of the elderly housing. The method for calculating space for behavior begins with classifying behaviors, identifying them and then taking pictures of the model of elderly people who reproduce each behavior. Based on the pictures, body parts which are necessary for each behavior are assembled and the formula for behavioral space is created. The space for behavior is produced considering the body dimensions of Korean elderly in their sixty's as well as the furniture size and the psychological distance between people. 3D modeling is used to verify the result. Human behaviors can be classified into individual-related, housework-related, family-related, reception-related and other behaviors. These five behaviors are subdivided into more specific behaviors. The area for each specific behavior is calculated with the anthropometric data of the elderly, preferred furniture dimension and psychological area. As a result the required area for specific behaviors is as follows: the behavior of sleeping in a bed needs $4.3m^2$; the behavior of changing clothes on a chair, $1.7m^2$; the behavior of watching TV on the floor $1.3m^2$, the behavior of working and reading using a desk, $2.1m^2$, the behavior of exercise, $2.5m^2$; the behavior of showering on a chair, $1.3m^2$ and showering using a wheelchair, $1.9m^2$; the behavior of toileting using a wheelchair, $2.3m^2$; the behavior of washing up using a wheelchair, $1.9m^2$; the behavior of eating using a table for four persons, $4.4m^2$; the behavior of cooking and washing dishes, $0.9m^2$ per counter-top; the behavior of washing clothes using a washing machine, $0.9m^2$; the behavior of ironing on the floor $1.4m^2$; the behavior of reception(three persons) on the floor considering personal space, $4.0m^2$; the behavior of taking on and off shoes on a chair, $1.3m^2$. The result of the study is utilized as quantitative data to calculate optimal floor space for elderly housing. In addition, qualitative data such as characteristics of housing preference, spacial usage and storage capacity are necessary to produce the floor space which can provide convenient and safe living environment.

• Communications for Statistical Applications and Methods
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• 제24권2호
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• pp.173-191
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• 2017

This study develops a new type of latent class analysis (LCA) in order to explain the associations between one latent variable and several other categorical latent variables. Our model postulates that the prevalence of the latent variable of interest is affected by another latent variable composed of other several latent variables. For the parameter estimation, we propose deterministic annealing EM (DAEM) to deal with local maxima problem in the proposed model. We perform simulation study to demonstrate how DAEM can find the set of parameter estimates at the global maximum of the likelihood over the repeated samples. We apply the proposed LCA model in an investigation of the effect of and joint patterns for drug-using behavior to violent behavior among US high school male students using data from the Youth Risk Behavior Surveillance System 2015. Considering the age of male adolescents as a covariate influencing violent behavior, we identified three classes of violent behavior and three classes of drug-using behavior. We also discovered that the prevalence of violent behavior is affected by the type of drug used for drug-using behavior.

• 대한가정학회지
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• 제37권3호
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• pp.157-174
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• 1999

The purpose of this study is to investigate かe factors related to the environment-oriented consumer behavior, and to analyze the effects of environmental knowledge, perception of environmental problems, and environment-oriented attitude on the environment-oriented consumer behavior. The data used in this study were collected through questionnaires on 535 wives living in Cheju City. The data were analvzed by using SPSS WIN program. The summaries of this study are as follows. Using behaviors was influenced by age and family income, but buying and disposing behavior are not influenced by socio-economic variables of wives. Environmental knowledge only has effects on disposing behaviors, and environment-oriented attitude behavior has effects on buying, using, and disposing behavior. But the perception of environmental problems hasn't effects on them. Wives' environment-oriented behavior are more effected by environment-oriented attitude than perception of environmental problems. In buying behavior, environment-oriented attitude is the most influential factor, and the reference group is the second influential factor. But in disposing behavior, the reference group is the most influential factor, and environment-oriented attitude is かe second influential factor.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2000년도 가을 학술발표회 논문집
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• pp.319-326
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• 2000

It is investigated character of the dynamic behavior at over excavation zone of roadbed using crushed stone instead of lean concrete. It is considered that behavior of roadbed using PENTAGON-3D and Baber's equation. Typical load of sine wave type using impact factor is compared to moving load system to examine relationship in using PENTAGON-3D case. Variations of this paper are material properties of roadbed, train velocity, subgrade bearing capacity. Using variations, safety of roadbed is estimated by dynamic behavior character.

• 성인간호학회지
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• 제23권6호
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• pp.527-542
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• 2011

Purpose: This paper is a report of an analysis of the concept of pro-environmental health behavior. Methods: Rodgers' method of evolutionary concept analysis was used to analyze the concept. A literature search using keywords 'pro-environmental health behavior, 'environmental health behavior', and 'eco-friendly health behavior' was conducted using PubMed, CINAHL, PsychINFO, and RISS and utilizing the results published from 1983 to 2011. Database and bibliographic searches yielded 84 records. Results: Four critical attributes of pro-environmental health behavior were identified as 'prevention and protection', 'internal process', 'altruism', and 'alternative'. Antecedents to pro-environmental health behavior were climate change, environmental pollution, and health risk. The consequences of pro-environmental health behavior were individual and social behavioral changes. Conclusion: The concept of pro-environmental health behavior developed in this project may offer information to be considered as the concept is further develop and efforts are made to measure the attributes of pro-environmental health behavior.

• 가정과삶의질연구
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• 제27권3호
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• pp.129-143
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• 2009

The purpose of this study was to investigate influences on wives' financial management behavior economic instability and coping behavior of urban household. Economic instability was constructed with an objective economic status and perceived economic instability. And, Financial management behaviors were constructed with four dimensions : investment, income/expenditure, risk, and debt management behavior. The subjects of this study were 225 housewives. Factor analysis, Cronbach ${\alpha}$, and multiple regression were performed for data analysis. The results show that, coping behaviors of searching and using information and perceived economic hardship related to debt influenced housewives' investment management behaviors. The coping behaviors of searching and using information, expending in the range of planned budget, using debt, perceived economic hardship related to debt, income insufficiency, and selective expenditure influenced the consumption-expenditure management behaviors. Perceived economic hardship related to essential expenditures and coping behaviors of searching and using information influenced the risk management behaviors. Coping behaviors of searching and using information, using debts and purchasing and using economically, and perceived economic hardship related to essentials influenced debt management behaviors.

• International journal of advanced smart convergence
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• 제9권4호
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• pp.115-119
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• 2020

Recently, CCTV installations are rapidly increasing in the public and private sectors to prevent various crimes. In accordance with the increasing number of CCTVs, video-based abnormal behavior detection in control systems is one of the key technologies for safety. This is because it is difficult for the surveillance personnel who control multiple CCTVs to manually monitor all abnormal behaviors in the video. In order to solve this problem, research to recognize abnormal behavior using deep learning is being actively conducted. In this paper, we propose a model for detecting abnormal behavior based on the deep learning model that is currently widely used. Based on the abnormal behavior video data provided by AI Hub, we performed a comparative experiment to detect anomalous behavior through violence learning and fainting in videos using 2D CNN-LSTM, 3D CNN, and I3D models. We hope that the experimental results of this abnormal behavior learning model will be helpful in developing intelligent CCTV.

• 복식문화연구
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• 제27권3호
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• pp.274-284
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• 2019

Research on cosmetic behavior has developed significantly since the 2000s. Reviewing cosmetic behavior research can be meaningful because it can grasp trends in the domestic cosmetics market, and it can also illuminate how domestic consumers' interest in makeup has changed over time. The purpose of this study is to investigate the links between major keywords and the keywords which affect makeup behavior of different age groups through network analysis. In this study we analyzed thesis and journal data based on makeup behavior through network analysis using Nodexl. We analyzed 10 years of journals and theses - from 2000 to 2017, and investigated age-related differences in variables related to makeup behavior. Research subjects were divided into age-based groups: 10, 20-40, and over 50. The total number of theses collected was 82. In order to perform network analysis using the Nodexl program, we extracted the frequency of representative words using the KrKwic program. The extracted core words were analyzed for degree centrality, betweenness centrality and eigenvector centrality using Nodexl. The expected result is that the network analysis using keywords will lead to different variables depending on age and the main goal of the cosmetics market, and it is expected to be used as the basis for follow-up research related to cosmetic behavior.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2010년도 춘계 학술발표회
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• pp.825-831
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• 2010

In this study is stress behavior of steel support structure is to identify basic research. Steel stress due to load step to determine the behavior of steel using strain gauge steel loading test was performed. Numerical analysis and steel loading test using strain gauge on the actual steel stress behavior was analyzed. First, when tensile loading 3.5tonf load side of the plastic behavior appeared. Elastic model, using numerical analysis and comparison of results, the actual value is saved and you can see some difference. This repeated loading tests on steel can be seen from the results of the stress behavior of the steel rather than the elastic behavior of elastic-plastic behavior is because you can see. In addition, the upper and lower steel stress in compression and tension behavior represents the behavior was similar, but different. Steel loading test results, Y-axis get a compression if X-axis is tension. The future based on this study, the stress sensitivity curve of magnetic anisotropy sensor for non-destructive stress measurement technique for the study will be performed. And the behavior of plastic zone and residual stress to determine the numerical analysis using non-elastic model is needed.

• 대한간호학회지
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• 제41권2호
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• pp.236-244
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• 2011

Purpose: In this study the impact of pro-environmental behavior, well-being oriented behavior, and use of cloth menstrual pads on dysmenorrhea in Korean female adults was examined according to the theory of reasoned action. Methods: A cross-sectional study was conducted with 195 Korean female adults. Data were collected from June to August, 2010 using self-report questionnaires. Data were analyzed using t-test, one-way ANOVA, Pearson correlation coefficients, multiple regression, and logit regression with STATA 10.0. Results: Pro-environmental behavior explained 48% of well-being oriented behavior. Well-being oriented behavior explained 10% of cloth pad use. Use of cloth pad explained 4% of dysmenorrhea and 5% of menstrual pain. The path through well-being oriented behavior had a significant effect from pro-environmental behavior to cloth pad use. Conclusion: Use of cloth pad was significantly related with well-being oriented behavior, pro-environmental behavior, social influence, dysmenorrhea, and menstrual pain. The results of this study suggest that pro-environmental strategies can help health care providers diminish clients' menstrual symptoms. Nursing intervention can support pro-environmental behavioral strategies.