• 제목/요약/키워드: correlation to state variables

검색결과 218건 처리시간 0.027초

사이버 마아켓에서의 소비자 충동구매성향 분석 (An Analysis of Consumer Instantly Impulse Purchasing Propensity in Cyber Market)

  • 김영숙
    • 대한가정학회지
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    • 제38권12호
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    • pp.111-129
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    • 2000
  • The purpose of this study is to investigate the level of consumer instantly impulse buying in cuber market user. Also this study analyzes causal effect on consumer instantly impulse purchasing by demographic and social, place and promotion, consumer emotion state, and consumer internal and psychological variables. The data had been collected from on-line research method with 1,034, as using cuber market. The major statistical methods used for data analysis are frequency, percentile, mean, factor analysis, multiple regression analysis, Pearson's correlation analysis, and path analysis. The result of causal effect analysis were as follows; First, the variables affecting possession oriented materialism were sex and age. Second, the variables affecting self-control were sex, income, account of credit card, and instantly state of mind. Third, variables directly affecting instantly impulse purchasing were serif employed, banner advertisement, experience of cuber shopping, shopping mall pattern, instantly state of mind, purpose of shopping, happiness and success oriented materialism, and self-control. Also sex, income account of credit card, and instantly state of mind emerge to indirectly effect via self-control. Especially, the variables of success oriented materialism and instantly state of mind influenced on the highest of relative variables in consumer instantly impulse purchasing.

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오르니틴 생산을 위한 회분식 배양에서 산화환원전위와 상태변수들간의 상관관계 (Correlation between Redox Potential and State Variables in Batch Cultures for Ornithine Production.)

  • 이태호;나정걸;장용근;정봉현
    • 한국미생물·생명공학회지
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    • 제26권2호
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    • pp.167-172
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    • 1998
  • 의료용 아미노산인 오르니틴을 생산하는, 용존산소농도와 pH가 일정하게 유지되는 회분식 배양에서 산화환원전위의 시간에 따른 변화를 주요 발효 상태변수들(균체, 포도당, 오르니틴 농도)과 함께 관찰하였다. 산화환원전위는 배양상태를 반영하는 네 개의 다른 구간을 나타내었으며 특히 균체농도의 변화와 밀접한 관계가 있으며 오르니틴 농도에 의해서도 영향을 받음을 알 수 있었다. 산화환원전위와 발효상태변수들과의 상관관계를 구하기 위해 먼저 오르니틴 및 포도당이 산화환원전위에 미치는 영향을 별도의 실험을 통해 알아보았다. 이들 실험 결과들을 바탕으로 하여 산화환원전위의 발효상태변수에 대한 상관관계를 제시하였다. 이 상관관계는 산화 환원전위, 포도당 농도, 균체농도의 on-line data로부터 오르니틴 농도를 on-line 추정하는데 이용될 수 있을 것으로 기대된다.

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정상인의 연식기능과 신경증경향에 관한 연구 (A Study of Cognitive Function and Psychiatric Disturbance in Normal Adults)

  • 정희숙
    • 대한간호학회지
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    • 제14권2호
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    • pp.47-54
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    • 1984
  • In an attempt to take Comprehensive nursing care the author tested cognitive function and psychiatric disturbance produced by normal adults. Mini-mental state and simple reaction time were tested and general health questionnaire was conducted two hundred subjects. The data were analyzed statistically and the results follow: 1. The score of mini-mental state of the elderly group was less significant than that of the younger group in the tests of cognitive dysfunction. The score of MMS of the female group, the illiteracy group less significant than that of other groups in the test of cogntive dysfunction. 2. Reaction time of the elderly group was slower than that of the younger group. Reaction time of the female group was slower than that of the male group. Reaction time of the illiteracy group was the slowest & the unskilled group was slower than that of the other groups. 3. As a result of the results of psychiatric disturbance the score of general health questionnaire of the elderly group was significantly higher than that of the younger group in the tests of psychiatric disturbance. The test of psychiatric disturbance sho-wed that the score of general health questionnaire of the female group was significantly higher than that of the male group in the tests of psychiatric disturbance. The illiteracy group was the highest in the psychiatric disturbance among other groups and the unskilled group was significantly higher than the other groups. 4. Education had higher correlation to mini-men-tat state, while age negative correlation in comparison with other variables age had higher correlation to reaction time, while education had negative correlation in comparison with other variables. Sex had low correlation in these tests.

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간호원의 근무성적 예측변인의 효율성에 관한 연구 (A Study on the Efficiency of Predicting Variables of Nurses ′ Clinical Performance flow College Achievements)

  • 정현숙
    • 대한간호학회지
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    • 제7권1호
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    • pp.112-120
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    • 1977
  • This study attempts to predict nurses'clinical performance from entrance examination of university and college achievements after graduation. This is based upon a survey study, 49 nurses in Yon Sei Medical Center after graduation of college of nursing. Correlation of college achievements, clinical performance and variables of nurses'clinical performance are produced using Pearson's Product moment correlation coefficient significance of correlation tested by T- test. The result of the study were as follows; 1. Clinical performance of the college achievements is the best efficient variables in predicting the nurses'clinical performance after graduation and next theory scholastic total achievements and entrance examination the last. 2. There are significant correlation among nurses'clinical performance rating variables as nursing ethics, nursing skills, achievements, attitude, the state of health.

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ADAMS/Insight를 이용한 1톤 상용트럭의 동역학 해석 및 최적화 (Dynamic Analysis and Optimization of 1ton Commercial Truck Using ADAMS/Insight)

  • 전형호;탁태오
    • 산업기술연구
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    • 제23권A호
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    • pp.15-20
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    • 2003
  • Stochastic simulation technique has advantages over deterministic simulation in various engineering analysis, since stochastic simulation can take into consideration of scattering of various design variables, which is inherent characteristics of physical world. In this work, Monte-Carlo simulation mothod in ADAMS/Insight for steady-state cornering and J-turn behavior of a truck with design variables like hard points and busing stiffnesses have performed to achieve better dynamic performance. The main purpose is to improve understeer gradient at steady-state cornering and minimize peak lateral acceleration and peak yaw rate at J-turn. Through correlation analysis, design variables that have high impacts on the cornering behavior were selected, and significant performance improvement has been achieved by appropriately changing the high impact design variables.

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간호대학생의 대학생활스트레스와 대학생활적응 (A Study on the Stress and Adjustment to College Life among Nursing Students)

  • 유경희
    • 한국간호교육학회지
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    • 제24권3호
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    • pp.269-278
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    • 2018
  • Purpose: This study was conducted to investigate the correlation between stress and adjustment to college life among nursing students. Methods: The sample consisted of 183 university students in C & S cities. Self-report questionnaires were used to measure the variables. In data analysis, SPSSWIN 23.0 program was utilized for descriptive statistics, Pearson's correlation coefficients, and regression analysis. Results: The mean scores of stress and adjustment to college life were 2.55 and 3.24. Stress was significantly different according to grade (F=7.30, p<.001), economic state (F=14.39, p<.001), perceived health state (F=6.66, p<.001). In regression analysis, stress for college life, perceived health state, and college life satisfaction were significant predictors of adjustment to college life explaining 68%. Conclusion: This study suggests that perceived health state was a significant factor on adjustment to college life among nursing students. Therefore, the strategies of nursing intervention which improve perceived health state must be developed for college students.

Canonical Correlation of 3D Visual Fatigue between Subjective and Physiological Measures

  • Won, Myeung Ju;Park, Sang In;Whang, Mincheol
    • 대한인간공학회지
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    • 제31권6호
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    • pp.785-791
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    • 2012
  • Objective: The aim of this study was to investigate the correlation between 3D visual fatigue and physiological measures by canonical correlation analysis enabling to categorical correlation. Background: Few studies have been conducted to investigate the physiological mechanism underlying the visual fatigue caused by processing 3D information which may make the cognitive mechanism overloaded. However, even the previous studies lack validation in terms of the correlation between physiological variables and the visual fatigue. Method: 9 Female and 6 male subjects with a mean age of $22.53{\pm}2.55$ voluntarily participated in this experiment. All participants were asked to report how they felt about their health sate at after viewing 3D. In addition, Low & Hybrid measurement test(Event Related Potential, Steady-state Visual Evoked Potential) and for evaluating cognitive fatigue before and after viewing 3D were performed. The physiological signal were measured with subjective fatigue evaluation before and after in watching the 3D content. For this study suggesting categorical correlation, all measures were categorized into three sets such as included Visual Fatigue set(response time, subjective evaluation), Autonomic Nervous System set(PPG frequency, PPG amplitude, HF/LF ratio), Central Nervous System set(ERP amplitude P4, O1, O2, ERP latency P4, O1, O2, SSVEP S/N ratio P4, O1, O2). Then the correlation of three variables sets, canonical correlation analysis was conducted. Results: The results showed a significant correlation between visual fatigue and physiological measures. However, different variables of visual fatigue were highly correlated to respective HF/LF ratio and to ERP latency(O2). Conclusion: Response time was highly correlated to ERP latency(O2) while the subjective evaluation was to HF/LF ratio. Application: This study may provide the most significant variables for the quantitative evaluation of visual fatigue using HF/LF ratio and ERP latency based human performance and subjective fatigue.

Memory Equations for Kinetics of Diffusion-Influenced Reactions

  • Yang, Mino
    • Bulletin of the Korean Chemical Society
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    • 제27권10호
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    • pp.1659-1663
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    • 2006
  • A many-body master equation is constructed by incorporating stochastic terms responsible for chemical reactions into the many-body Smoluchowski equation. Two forms of Langevin-type of memory equations describing the time evolution of dynamical variables under the influence of time-independent perturbation with an arbitrary intensity are derived. One form is convenient in obtaining the dynamics approaching the steady-state attained by the perturbation and the other in describing the fluctuation dynamics at the steady-state and consequently in obtaining the linear response of the system at the steady-state to time-dependent perturbation. In both cases, the kinetics of statistical averages of variables is found to be obtained by analyzing the dynamics of time-correlation functions of the variables.

강우-유출 모형의 상태변수와 수문기상변량과의 상관성 분석 (A correlation analysis between state variables of rainfall-runoff model and hydrometeorological variables)

  • 심은증;오랑치맥 솜야;이예린;문영일;이주헌;권현한
    • 한국수자원학회논문집
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    • 제54권12호
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    • pp.1295-1304
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    • 2021
  • 수자원의 효율적인 이용과 관리를 위해서는 기본적으로 강우-유출에 대한 신뢰성 있는 해석이 필요하지만 이를 위한 연속적인 수문자료가 부족하고, 실측 및 모형 등을 통한 강우-유출자료의 확보는 여전히 요원한 실정이다. 특히 미계측 유역의 경우는 합리적인 강우-유출 모의 개선의 일환으로 모형 적용시 필요한 매개변수를 계측유역에서 미계측 유역으로 전이하는 지역화 방안이 활용되고 있다. 본 연구에서는 하천 내 미계측 유역 또는 가뭄모니터링이 필요한 지점에서 GR4J 모형을 선정하여 강우-유출과정의 상태변수를 추출하고 SCEM-UA 기법을 이용한 매개변수 최적화를 진행하였다. 모형을 통해 획득한 유역특성인자와 매개변수 상관성 분석을 위해 Copula 함수를 이용하여 지역화하였으며 미계측 유역에 대한 강우-유출 분석을 수행하였다. 분석과정에서 대상 유역의 중간상태변수를 추출하고 이를 수문변량 인자인 하천수위와 지하수위에 대해 각각의 상관성을 분석하였다. 나아가 강우-유출 모의 과정에서 GR4J 모형의 상태변수를 산출하고 지수화시켜 수문학적 가뭄지수(SSDI)를 산정하였으며 이를 대표 가뭄지수인 SPI와 비교분석하여 산정된 가뭄지수의 수문학적 적합성 평가를 수행하였으며 이를 토대로 미계측 유역에서의 가뭄 모니터링 및 가뭄정보제공 체계구축과 활용 가능성을 확인할 수 있었다.

스마트 마이크로그리드 실시간 상태 추정에 관한 연구 (A Study on Real-time State Estimation for Smart Microgrids)

  • 배준형;이상우;박태준;이동하;강진규
    • 한국태양에너지학회:학술대회논문집
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    • 한국태양에너지학회 2012년도 춘계학술발표대회 논문집
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    • pp.419-424
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    • 2012
  • This paper discusses the state-of-the-art techniques in real-time state estimation for the Smart Microgrids. The most popular method used in traditional power system state estimation is a Weighted Least Square(WLS) algorithm which is based on Maximum Likelihood(ML) estimation under the assumption of static system state being a set of deterministic variables. In this paper, we present a survey of dynamic state estimation techniques for Smart Microgrids based on Belief Propagation (BP) when the system state is a set of stochastic variables. The measurements are often too sparse to fulfill the system observability in the distribution network of microgrids. The BP algorithm calculates posterior distributions of the state variables for real-time sparse measurements. Smart Microgrids are modeled as a factor graph suitable for characterizing the linear correlations among the state variables. The state estimator performs the BP algorithm on the factor graph based the stochastic model. The factor graph model can integrate new models for solar and wind correlation. It provides the Smart Microgrids with a way of integrating the distributed renewable energy generation. Our study on Smart Microgrid state estimation can be extended to the estimation of unbalanced three phase distribution systems as well as the optimal placement of smart meters.

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