• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
• /
• 2002.05a
• /
• pp.181-189
• /
• 2002

This research presents an analytical model to investigate the stability due to the ball bearing waviness in a rotating system supported by two ball bearings. The stiffness of a ball bearing changes periodically due to the waviness in the rolling elements as the rotor rotates, and it can be calculated by differentiating the nonlinear contact forces. The linearized equations of motion can be represented as a parametrically excited system in the form of Mathieu's equation, because the stiffness coefficients have time-varying components due to the waviness. Their solution can be assumed as a Fourier series expansion so that the equations of motion can be rewritten as the simultaneous algebraic equations with respect to the Fourier coefficients. Then, stability can be determined by solving the Hill's infinite determinant of these algebraic equations. The validity of this research is proved by comparing the stability chart with the time responses of the vibration model suggested by prior researches. This research shows that the waviness in the rolling elements of a ball bearing generates the time-varying component of the stiffness coefficient, whose frequency is called the frequency of the parametric excitation. It also shows that the instability takes place from the positions in which the ratio of the natural frequency to the frequency of the parametric excitation corresponds to i/2 (i= 1,2,3..).

• The Journal of Asian Finance, Economics and Business
• /
• v.6 no.1
• /
• pp.159-167
• /
• 2019

The current higher education in Vietnam demonstrates the intense competition among local universities. Undoubtedly, the issue of enhancing the brand value to attract students is now placed at the top to Vietnamese universities. The research aims to identify the objective and subjective factors affecting the brand value of private universities in Ho Chi Minh City, Vietnam as mediated by students' perceptions. This paper employs the mixed research methods and data were then analyzed by measuring Cronbach's Alpha coefficient for reliability, analyzing EFA, and using PATH model to test the experiment on the research model affecting HUTECH's brand value. Probability sampling used is Stratified sampling and 500 students of 8 faculties of HUTECH surveyed by convenience sampling. Additionally, this paper also proposes some managerial implications on enhancing the brand value of private universities in Ho Chi Minh City. The results indicate that the new factor, namely geographic location is the most influential factor to enhance the brand value of private universities in general and HUTECH in particular. Brand still plays a determinant role in students' trust when choosing a university. Finally, some implications proposed to enhance the brand value of private universities in Ho Chi Minh City in the context of fierce competition in attracting students.

• Journal of Biosystems Engineering
• /
• v.36 no.4
• /
• pp.285-289
• /
• 2011

Muscle fatigue is characterized as a progressive increase in discomfort arising from the active muscle at moderate load levels are maintained. The median frequency is the most commonly used as a parameter to describe muscle fatigue. However, the estimate of the median frequency is difficult to indicate muscle fatigue because of its high standard deviation and instability. This paper investigates the power changes of the appropriate low frequency band as a fatigue parameter in EMG during isotonic exercise. To select the appropriate band, linear regression lines are employed to calculate the slopes and the coefficient of determination. Three females and seven males volunteered to participate in surface EMG recordings placed on the biceps brachii and each recording experiment continued until their exhaustion. The results of experiment shows that the power changes of the selected low frequency band (15~45 Hz) have linear slopes and high determinant coefficients. Therefore, this fatiguing parameter using the power changes of the low frequency band is valid to measure the state of muscular fatigue.

• Journal of Korean Academy of Nursing
• /
• v.28 no.3
• /
• pp.583-590
• /
• 1998

This study was undertaken in order to examine the effect of hardiness on stress-causing factors, defined in this study as burnout in nursing. The subjects were 248 nurses working in three general hospitals in Taejon. The instruments used for this study were a survey of general characteristics, modified Health-Related Hardiness Scale(HRHS) (25 items), job stress scale (63 items), and burnout scale (20 items). Analysis of data was done through the mean, percentage, Pearson correlation coefficient, and stepwise multiple regression done with a SAS program. The results of this study are as follows. 1) The average item score for the job stress was high at 4.44. In the subcategories, the highest degree of stress was night duty(5.11), and work overload(4.70), responsibility for extra affairs(4.70), conflict in nurse-doctor relationships(4.69), and low reward(4.63) in that order. 2) In the stepwise multiple regression analysis, hardiness(11.55%) was a significant determinant of burnout along with job stress(17.24%) and job duration(12.94%). The results of this study show that hardiness has an effect on psychological distress caused by stress.

• KIEAE Journal
• /
• v.17 no.4
• /
• pp.83-88
• /
• 2017

Purpose: The objective of this study is to develop a predictive model for calculating the amount of cooling load for the different setback temperatures during the setback period. An artificial neural network (ANN) is applied as a predictive model. The predictive model is designed to be employed in the control algorithm, in which the amount of cooling load for the different setback temperature is compared and works as a determinant for finding the most energy-efficient optimal setback temperature. Method: Three major steps were conducted for proposing the ANN-based predictive model - i) initial model development, ii) model optimization, and iii) performance evaluation. Result:The proposed model proved its prediction accuracy with the lower coefficient of variation of the root mean square errors (CVRMSEs) of the simulated results (Mi) and the predicted results (Si) under generally accepted levels. In conclusion, the ANN model presented its applicability to the thermal control algorithm for setting up the most energy-efficient setback temperature.

• The Korean Journal of Emergency Medical Services
• /
• v.12 no.3
• /
• pp.129-135
• /
• 2008

Purpose : This study was to analyze the demand for emergency ambulance service and to characterize the factors associated with the demand. Method : The basis for the model was from the actual demand for public emergency ambulance and socioeconomic and geographic characteristics. Multiple regression analyses were done for the related characteristics of public ambulance service. Result : The model explained total demand with a high degree of accuracy : the coefficient of determination($R^2=0.96$). For the regression, the set of variables indicative of low socioeconomic status were all significant. It showed the inappropriate use of public ambulance system. Public ambulance demand increased in higher housing density, low income, male unemployment and female labor force. Conclusion : The demand for public ambulances appeared to be highly predictable, using a simple linear model employing socioeconomic variables, quality of service variables, and land use variables. Low-income families tended, to use the public ambulance system more often than higher income. Area having elderly people or children also made many calls. Estimated demand calls were stable and had a tendency to be similar incident types.

• KIEAE Journal
• /
• v.15 no.6
• /
• pp.63-68
• /
• 2015

Purpose: Most if buildings need various repair works for preventing or delaying the deterioration which gives rise to affect the living condition or function after constructed. Therefore, a long-term repair schedule should be planned and a repair cost is required. In this paper, it aimed at providing the statistical forecast model for a repair cost in roof water-proofing work and elevator work using statistical approach with three variables such as number of household, management area and a elapsed year. Data are collected in apartment housings which are located in Seoul area and conducted with interview and questionnaire sheet. Each analyzed work is divided into a partly work and fully work. Results of this study are shown that, first, the regression model takes a multiplying type like a Cobb-Douglas function and is changed into the log-linear type to include the three variable simultaneously. Second, the goodness-of-fit of the repair cost forecasting model has a good statistics in determinant's coefficient and Dubin-Watson value. Third, the management area is stronger factor than other the number of household and an elapsed year in roof water-proofing work and elevator work.

• Journal of Korean Society of Water and Wastewater
• /
• v.29 no.4
• /
• pp.447-457
• /
• 2015

Water cycle within the human civilization has become important with urbanization. To date, water cycle in the eco-system has been the focus in identifying the degree of water cycle in cities, but in practicality, water cycle within the human civilization system is taking on an increasing importance. While in recent years plans to reuse water have been implemented to restore water cycle in cities, the effect that such reuse has on the entire water cycle system has not been analyzed. The analysis on the effect that water reuse has on urban areas needs to be go beyond measuring the cost-savings and look at the changes brought about in the entire city's water cycle system. This study uses a SWAT model and water balance analysis to review the effects that water reuse has on changes occurring in the urban water cycle system by linking the water cycle within the eco-system with that within the human civilization system. The SWAT model to calculate the components of water cycle in the human civilization system showed that similar to measured data, the daily changes and accumulative data can be simulated. When the amount of water reuse increases in urban areas, the surface outflow, amount of sewer discharge and the discharged amount from sewage treatment plants decrease, leading to a change in water cycle within our human civilization system. The determinant coefficients for reduced surface outflow amount and reduced sewer discharge were 0.9164 and 0.9892, respectively, while the determinant coefficient for reduced discharge of sewage treatment plants was 0.9988. This indicates that with an increase in water reuse, surface flow, sewage and discharge from sewage treatment plants all saw a linear reduction.

• Journal of Convergence for Information Technology
• /
• v.9 no.6
• /
• pp.1-6
• /
• 2019

In this study, the development of a weight estimation model of electronic scale with nonlinear characteristics is presented using polynomial regression analysis. The output voltage of the load cell was measured directly using the reference mass. And a polynomial regression model was obtained using the matrix and curve fitting function of MS Office Excel. The weight was measured in 100g units using a load cell electronic scale measuring up to 5kg and the polynomial regression model was obtained. The error was calculated for simple($1^{st}$), $2^{nd}$ and $3^{rd}$ order polynomial regression. To analyze the suitability of the regression function for each model, the coefficient of determination was presented to indicate the correlation between the estimated mass and the measured data. Using the third order polynomial model proposed here, a very accurate model was obtained with a standard deviation of 10g and the determinant coefficient of 1.0. Based on the theory of multi regression model presented here, it can be used in various statistical researches such as weather forecast, new drug development and economic indicators analysis using logistic regression analysis, which has been widely used in artificial intelligence fields.

• Journal of Korean Academy of Fundamentals of Nursing
• /
• v.15 no.4
• /
• pp.566-577
• /
• 2008

Purpose: Developing a curriculum(DACUM) is a method of analyzing job focused competency, which is obtained from the data of an expert belonging to a certain career. In this study the DACUM method was used to analyze the jobs of operating room nurses. Method: Through the DACUM workshop which was arranged by two DACUM facillitators, a definition of the role of operating room nurses was developed and then duties and tasks of operating room nurses' were identified. For the workshop, a DACUM committee with 10 operating room nurses was organized. Finally, the duties and tasks which were identified were validated by 422 nurses for importance, difficulty and frequency. Results: Thirteen duties and 105 tasks were identified on the DACUM chart, where importance, difficulty, and frequency of tasks were represented by alphabet letters A, B, and C as higher degree of importance. The determinant coefficient(DC) showed that the most important duty was assisting with operations(DC=6.61), and the least, managing operating materials(DC=4.22). For tasks, the most important ones were assisting in orthostatic surgery(DC=7.60), and assisting in thoracic surgery(DC=7.38), and the least important making gauze ball(DC=2.39), and saving of operation site((DC=3.27). Conclusion: The results suggest a need to develop an education program using the DACUM chart as a basis for the development and as a clinical career ladder and for curriculum of operating room nursing.