• 제목/요약/키워드: Analysis of Using Behavior

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언어 네트워크 분석을 통한 화장행동 연구동향 분석 (Language network analysis of make-up behavior research)

  • 백경진
    • 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.

Latent class analysis with multiple latent group variables

  • Lee, Jung Wun;Chung, Hwan
    • 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.

친환경적 건강 행위(pro-environmental health behavior) 개념 분석 (Pro-environmental Health Behavior : A Concept Analysis)

  • 김현경
    • 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.

Behavior factor of vertically irregular RCMRFs based on incremental dynamic analysis

  • Habibi, Alireza;Gholami, Reza;Izadpanah, Mehdi
    • Earthquakes and Structures
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    • 제16권6호
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    • pp.655-664
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    • 2019
  • Behavior factor of a structure plays a crucial role in designing and predicting the inelastic responses of it. Recently, irregular buildings have been interested in many designers. To design irregular structures, recognizing the inelastic behavior of them is necessary. The main objective of this study is to determine the behavior factor of irregular Reinforced Concrete Moment Resisting Frames (RCMRFs) via nonlinear Incremental Dynamic Analysis (IDA). To do so, first, several frames are designed according to the regulations of the Iranian national building code. Then the nonlinear incremental dynamic analysis is performed on these structures and the behavior factors are achieved. The acquired results are compared with those obtained using pushover analysis and it is shown that the behavior factors acquired from the nonlinear incremental dynamic analysis are somewhat larger than those obtained from pushover analysis. Eventually, two practical relations are proposed to predict the behavior factor of irregular RCMRFs. Since these relations are based on the simple characteristics of frames such as: irregularity indices, the height and fundamental period, the behavior factor of irregular RCMRFs can be achieved efficiently using these relations. The proposed relations are applied to design of four new irregular RCMRFs and the outcomes confirm the accuracy of the aforementioned relations.

실내실험과 수치해석을 이용한 암반지보구조물의 응력거동 분석을 위한 기초 연구 (Preminary Study on Stress Analysis of Rock-mass Support Structure using Laboratory Test and Numerical Simulation)

  • 이재호;문홍득;유지형;김혁;손영주
    • 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.

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네트워크 트래픽 수집 및 복원을 통한 내부자 행위 분석 프레임워크 연구 (A Study on the Insider Behavior Analysis Framework for Detecting Information Leakage Using Network Traffic Collection and Restoration)

  • 고장혁;이동호
    • 디지털산업정보학회논문지
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    • 제13권4호
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    • pp.125-139
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    • 2017
  • In this paper, we developed a framework to detect and predict insider information leakage by collecting and restoring network traffic. For automated behavior analysis, many meta information and behavior information obtained using network traffic collection are used as machine learning features. By these features, we created and learned behavior model, network model and protocol-specific models. In addition, the ensemble model was developed by digitizing and summing the results of various models. We developed a function to present information leakage candidates and view meta information and behavior information from various perspectives using the visual analysis. This supports to rule-based threat detection and machine learning based threat detection. In the future, we plan to make an ensemble model that applies a regression model to the results of the models, and plan to develop a model with deep learning technology.

패스트 패션 브랜드에 대한 소비자 의사결정 연기의 선행변수 (Antecedents of consumers' decision postponement on purchasing fast fashion brands)

  • 박혜정
    • 복식문화연구
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    • 제22권5호
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    • pp.743-759
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    • 2014
  • The purpose of this study is to identify the antecedents of consumers' decision postponement on purchasing fast fashion brands. Ongoing search behavior, overchoice confusion, and similarity confusion were considered as antecedents. It was hypothesized that ongoing search behavior influences decision postponement both directly and indirectly through overchoice confusion and similarity confusion. Data were gathered by surveying university students in Seoul, using convenience sampling. Three hundred five questionnaires were used in the statistical analysis, which were exploratory factor analysis using SPSS and confirmatory factor analysis and path analysis using AMOS. Factor analysis proved that ongoing search behavior, overchoice confusion, similarity confusion, and decision postponement were uni-dimensions. Tests of the hypothesized path proved that ongoing search behavior influences decision postponement indirectly through overchoice confusion. In addition, similarity confusion influences decision postponement. The results suggest some confusion reduction strategies for marketers of fast fashion brands. Suggestions for future study are also discussed.

고속도로 위빙(Weaving) 구간의 교통행태에 대한 경험적 분석 (An Empirical Analysis of the Behavior of Weaving Traffic in a Freeway Weaving Section)

  • 유경수
    • 대한교통학회지
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    • 제6권1호
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    • pp.17-31
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    • 1988
  • In this research, the behavior of weaving traffic is studied in terms of lane-changing behavior and gap acceptance characteristics. General trends in lane-changing behavior and gap acceptance characteristics are investigated by analyzing descriptive statistics and the factors affecting weaving behavior are determined by means of the multiple linear regression analysis. The results of analysis show that the behavior of weaving traffic is generally similar to that in a basic freeway section and an on- or of- ramp section. Traffic density and speed appear to be better parameters than traffic volume for explaining the behavior of weaving traffic. For the same purpose, using the traffic conditions of the origin and the destination lanes are found to be more effective than using the average traffic conditions of the freeway. A detailed analysis of the gap acceptance characteristics of late merging vehicles shows that there is no significant difference between the size of gaps accepted by late merging vehicles and that accepted by early merging vehicles.

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The Effect of Behavior Attitude and Subjective Norms on Behavior Intention in Food Festival

  • Bok, Mi-Jung;Park, Na-Eun
    • 한국컴퓨터정보학회논문지
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    • 제24권4호
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    • pp.177-183
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    • 2019
  • The purpose of this study is to analyze the effect of behavior attitude and subjective norm on food festival behavior intention of married women living in Ulsan area. The data were analyed with PASW 18.0 using reliability analysis, frequency analysis, paired T-test, T-test, correlation analysis, one-way ANOVA and multiple regression analysis. The results were as follows. First, First, married women had a slightly higher passive behavior intention than aggressive behavior intentions on food festivals. Second, the more the experience of past food festivals, the higher the economic level, the higher the housewife's housewives, the higher the food festival behavior intention. Third, the behavioral intention of food festival increased with higher behavioral attitude and subjective norms. Fourth, subjective norms were the most influential variable for the behavioral intention of married women. Next, the behavior attitude for food festival was found.

Structural behavior of cable-stayed bridges after cable failure

  • Kim, Seungjun;Kang, Young Jong
    • Structural Engineering and Mechanics
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    • 제59권6호
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    • pp.1095-1120
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    • 2016
  • This paper investigates the change of structural characteristics of steel cable-stayed bridges after cable failure. Cables, considered as the intermediate supports of cable-stayed bridges, can break or fail for several reasons, such as fire, direct vehicle clash accident, extreme weather conditions, and fatigue of cable or anchorage. Also, the replacement of cables can cause temporary disconnection. Because of the structural characteristics with various geometric nonlinearities of cable-stayed bridges, cable failure may cause significant change to the structural state and ultimate behavior. Until now, the characteristics of structural behavior after cable failure have rarely been studied. In this study, rational cable failure analysis is suggested to trace the new equilibrium with structural configuration after the cable failure. Also, the sequence of ultimate analysis for the structure that suffers cable failure is suggested, to study the change of ultimate behavior and load carrying capacity under specific live load conditions. Using these analysis methods, the statical behavior after individual cable failure is studied based on the change of structural configuration, and distribution of internal forces. Also, the change of the ultimate behavior and load carrying capacity under specific live load conditions is investigated, using the proposed analysis method. According to the study, significant change of the statical behavior and ultimate capacity occurs although just one cable fails.