• Title/Summary/Keyword: Sensitivity Factors

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The Effects of the Gender Sensitivity, the Gender Role Conflict on Nursing Professionalism in Nursing Students (간호대학생의 성인지 감수성, 성역할 갈등이 간호전문직관에 미치는 영향)

  • Woo, Chung-Hee;Yoo, Seung-Yeon
    • The Journal of Korean Society for School & Community Health Education
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    • v.22 no.3
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    • pp.41-54
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    • 2021
  • Objectives: This study aimed to confirm the degree of gender sensitivity, gender role conflict, nursing professionalism of nursing students and the factors that affect nursing professionalism. Methods: During Jan. 19 to Feb. 5 in 2021, the structured questionnaire was used for 187 nursing students by on-line research methods. Data were analyzed by descriptive analysis, mean comparison(t-test, ANOVA), correlation analysis(Pearson's correlation coefficient) and multiple regression using SPSS/WIN 25.0. Results: The gender sensitivity had positive relationship with nursing professionalism, and gender role conflict had negative relationship with nursing professionalism. And the prediction factors influencing nursing professionalism were major satisfaction, gender sensitivity and gender role conflict. The total variance was 8.2% by predictors. Conclusions: In order to improve the nursing professionalism of nursing students, various ways to increase the satisfaction level of major should be sought, and program should be prepared to improve gender sensitivity and reduce gender role conflict.

Coprime factor reduction of plant in $H{\infty}$ mixed sensitivity problem ($H{\infty}$ 혼합감도문제에서 플랜트의 소인수요소줄임)

  • 음태호;오도창;박홍배;김수중
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.2
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    • pp.20-27
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    • 1996
  • In this paper, we propose a coprime factor model reduction method to get a reduced order controller in $H^{\infty}$ mixed sensitivity problem with frequency weighting functions. for this purpose, the given $H^{\infty}$ mixed sensitivity problem is transformed into robust stabilization problem with coprime factor uncertainty of given plant. This method is to define frequency weighted coprime factors of plant in CSD (chain scattering description) form and reduce the coprime factors using weighted balanced truncation. then a controller is designed to the reduced order coprime factors using J-lossless coprime factorization method. Using this approach, the robust stability condition is derived and good performance is preserved in closed loop system with the given plant and the reduced order controller. Also the order of reduced controller for guaranteeing the robust stability can be determined before designing the reduced controller. The proposed method behaves well in both stable and unstable plant.

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SENSITIVITY ANALYSIS IN FUZZY RELIABILITY ANALYSISA

  • Onisawa, Takehisa
    • 제어로봇시스템학회:학술대회논문집
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    • 1988.10b
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    • pp.764-769
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    • 1988
  • In this paper the failure possibility and the error possibility are used to represent reliability of a technical component and that of a human operator, respectively. The failure possibility and the error possibility are fuzzy sets on the interval [0,1]. In a man-machine system, reliability of the technical component and that of the human operator are usually affected by many factors, e.g., the environment in which a machine is operated, psychological stress of the human operator, etc. The possibility is derived from not only the failure or the error rate but also estimates of these factors. The fuzzy reasoning plays an important role in the derivation. The reliability analysis is performed by the use of the possibility obtained by the present method. Moreover this paper discusses the sensitivity analysis which evaluates what extent the change of the estimation of each factor has an influence on reliability of a man-machine system. The important factors to be ameliorated are shown through the sensitivity analysis.

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Sensitivity analysis of the influencing factors of slope stability based on LS-SVM

  • Xu, Juncai;Ren, Qingwen;Shen, Zhenzhong
    • Geomechanics and Engineering
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    • v.13 no.3
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    • pp.447-458
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    • 2017
  • This study proposes a sensitivity analysis method for slope stability based on the least squares support vector machine (LS-SVM) to examine the influencing factors of slope stability. The method uses LS-SVM as an algorithm for machine learning. An appropriate training dataset is established according to the slope characteristics, and a testing dataset is designed orthogonally. Results of the testing data in the experiment design are calculated after training using the LS-SVM model. The sensitivity of the slope stability of each factor is examined via gray correlation analysis. The results are consistent with those of the traditional Bishop analysis and can be used as a reference for optimizing slope design.

Development of Near miss Assessment Model Using Bayesian Network and Derivation of Major Causes (베이지안 네트워크를 이용한 아차사고 평가 모델 개발 및 주요 원인 도출)

  • Seon Yeong Ha;Mi Jeong Lee;Jong-Bae Baek
    • Journal of the Korean Society of Safety
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    • v.38 no.4
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    • pp.54-59
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    • 2023
  • The relationship between near misses and major accidents can be confirmed using the ratios proposed by Heinrich and Bird. Systematic reviews of previous national and international studies did not reveal the assessment process used in near-miss management systems. In this study, a model was developed for assessing near misses and major factors were derived through case application. By reviewing national and international literature, 14 factors were selected for each dimension of the P2T (people, procedure, technology) model. To identify the causal relationship between accidents and these factors, a near-miss assessment model was developed using a Bayesian network. In addition, a sensitivity analysis was conducted to derive the major factors. To verify the validity of the model, near-miss data obtained from the ethylene production process were applied. As a result, "PE2 (education)," "PR1 (procedure)," and "TE1 (equipment and facility not installed)" were derived as the major factors causing near misses in this process. If actual workplace data are applied to the near-miss assessment model developed in this study, results that are unique to the workplace can be confirmed. In addition, scientific safety management is possible only when priority is given through sensitivity analysis.

The Effects of Personality Factors of the Prep Entrepreneurs in Food Service Industry on Entrepreneurial Intention: Focusing on the Risk Sensitivity

  • Park, Cheol-Woo;Bae, Gumkwang
    • Culinary science and hospitality research
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    • v.23 no.6
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    • pp.118-126
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    • 2017
  • The purposes of this study were to estimate the relationship between Big 5 personality factors of prep-entrepreneur and entrepreneurial intention, and to identify the moderating effects of risk sensitivity on the relationship. There is a total of 181 questionnaire surveys distributed and 152 data were used for analysis with erasing incomplete responses. The data analysis was conducted to utilize frequency analysis and regression analysis with SPSS WIN 22.0. The results of this study demonstrated that there are only 2 factors, neuroticism and extraversion, significantly influence on entrepreneurial intention, while conscientiousness, agreeableness and openness to experience do not have significant impacts on entrepreneurial intention. Furthermore, risk sensitivity effects on the relationship between Big-5 personality factor and entrepreneurial intention. This study may contribute to help prep-entrepreneur by using baseline data. Prep- entrepreneur could know their personality factor and confirm their consideration about entrepreneurial intention. Meanwhile, for the market-oriented implication, this study suggested that it is instrumental and significant for knowing prep-entrepreneur's personality factor and their entrepreneurial intention before starting foodservice business.

Sensitivity Analysis of Indoor Environment Factors along with Changes of Outdoor Air Condition (외기상태의 변화에 따른 실내 환경인자의 민감도 분석)

  • Cho, Seok-Ho
    • Journal of Environmental Science International
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    • v.19 no.2
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    • pp.125-136
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    • 2010
  • The most important factors relating to the indoor air environment are temperature, airflow, humidity, and contaminant concentration. A sensitivity analysis of indoor environment factors was carried out to grasp influences along with changes of atmospheric conditions. An integrated multizone model was used to predict these sensitivities. This model was applied to an apartment with six zones. Airflow rates are influenced very seriously by changes of wind direct or wind velocity, but are influenced very slightly by changes of outdoor air temperature and are not influenced at all by changes of outdoor air humidity or contaminant concentration. Indoor air temperatures are influenced very directly by changes of outdoor air temperature, but are influenced very slightly by wind direction or wind velocity and are not influenced at all by changes of outdoor air humidity or contaminant concentration. Indoor air humidities are influenced very directly by changes of outdoor air humidity, but are not influenced at all by changes of outdoor air contaminant concentration and have little or no influence by changes of wind direction, wind velocity, or outdoor air temperature. Indoor air contaminant concentrations are influenced very seriously by changes of wind direct or wind velocity, but are influenced somewhat by changes of outdoor air contaminant concentration and are influenced very slightly by changes of outdoor air temperature and are not influenced at all by changes of outdoor air humidity.

Initial-phase Sensitivity Analysis of Harmonic Measurements via Windowed DFT

  • Song, Shuping;Wang, Fuzong;Cheng, Guozhu
    • Transactions on Electrical and Electronic Materials
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    • v.15 no.4
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    • pp.182-188
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    • 2014
  • When the windowed DFT algorithm is applied in harmonic measurements, the problem of initial-phase sensitivity will be encountered, this has an effect on harmonic amplitude accuracy. In this paper, the origin of initial-phase sensitivity is analyzed and the main factors that influence the level of initial-phase sensitivity are demonstrated. A method of reducing initial-phase sensitivity is proposed to increase the stability of harmonic measurements. We found that initial-phase sensitivity is determined by the side lobe peak level of the window functions when synchronous deviation is fixed. In addition, increasing the length of the time recorded can be used to remove initial-phase sensitivity. The correctness and validity of our conclusions have been confirmed through numerical results and field tests.

The Effect of Clinical Dental Hygienist's Moral Sensitivity and Psychological Well-Being on Job Engagement

  • Han, Ye-Seul;Kim, Young-Im
    • Journal of dental hygiene science
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    • v.20 no.1
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    • pp.51-58
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    • 2020
  • Background: The present study aimed to provide basic data to establish a foundation for efficient operation of the organization by identifying the effects of factors related to moral sensitivity and psychological well-being on job engagement of clinical dental hygienists. Methods: This cross-sectional survey consisted of self-administration questionnaires. After the approval by the Institutional Review Board, a survey was conducted from September 2019 to November 2019, targeting dental hygienists with clinical experience of 1 year or more. A total of 189 questionnaires were analyzed using SPSS 18.0 for Windows. The data were analyzed using average standard deviation, t-test, one-way analysis of variance, Scheffe test, Pearson's correlation analysis, and multiple regression analysis. Results: According to job-related characteristics, higher job engagement was associated with more amount of clinical experience, less turnover intention, higher positions, and occasional job fatigue. Job engagement was improved by increasing moral sensitivity and psychological well-being of clinical dental hygienists. The factors affecting job engagement revealed that along with clinical career, the sub-areas of job engagement, namely turnover intention, moral sensitivity, and psychological well-being had statistically significant influence on job engagement and the explanatory power of the model was approximately 44.8%. Conclusion: Joy of working as a clinical dental hygienist, clinical career, turnover intention, moral sensitivity, and psychological well-being were confirmed as influencing factors that affected job engagement of clinical dental hygienists. It is necessary to establish an effective plan to improve job engagement by increasing moral sensitivity and psychological well-being of clinical dental hygienists.

The Effect of Quality Factors of Overseas Direct Purchase on Perceived Value and Purchase Intention: The Moderating Effect of Price Sensitivity

  • Jung, Ji-Hee;Shin, Jae-Ik
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.3
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    • pp.173-180
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    • 2021
  • In this study, variables were constructed based on previous studies to examine the effects of overseas direct purchase quality factors(information quality, system quality, and service quality), perceived value, and purchase intention. In addition, differences between groups were examined through the moderating effect of price sensitivity. A survey was conducted on overseas direct purchase users, and 178 questionnaires were used for empirical analysis. The collected data was analyzed by SPSS 25.0 and AMOS 21.0. The results are as follows: First, it was found that the quality factors of overseas direct purchase had a positive effect on perceived value. Second, it was found that the quality factors of overseas direct purchase had a positive effect on purchase intention. Third, as a result of testing the moderating effect of price sensitivity in the relationship between the quality factors of overseas direct purchase, perceived value, and purchase intention, there was no difference between groups. In conclusion, the implications and limitations of this study are presented.