NUMERICAL CHARACTERIZATION MODEL OF VECTOR HYSTERESIS FOR MAGNETIC MATERIALS
The paper presents a numerical method based on Preisach model for the characterization and modelling of hysteretic magnetic materials exhibiting vector hysteresis, with acceptable accuracy, based on minimal material measurement data. The identification approach based on the Everett distribution function is a way to obtain accurate numerical solutions when the experimental data of the magnetic material are scarce, for instance: there are known only the initial magnetization curve and the upward major branch for two directions (rolling and transverse ones). The comparison between the measured and simulated major loop curves for another magnetization direction shows good agreements.
A simplified vector Preisach model
Although scalar Preisach models have been increasingly accurate and efficient in describing material behavior, vector models, necessary to quantize complex magnetizing processes, are not as well developed. This paper presents a coupled vector model where the coupling is performed by a set of selection rules, after which the individual components can be calculated independently, This model reduces to a scalar model under appropriate conditions and the identification of its parameters is very straightforward.
Research on health and oral health status of elderly living alone compared to elderly living with their families - based on the data (2014) from the 6th two-year Korea national health and nutrition examination survey -
Objectives: I examined the health and oral health status of elderly people living alone compared to elderly people living with their families by using data (2014) from the 6th Two-Year Korea National Health and Nutrition Examination Survey. Methods: Among 1,454 health survey respondents aged 65 years and over who participated in the 6th Two-Year Korea National Health and Nutrition Examination Survey conducted in 2014, 311 were elderly people living alone and 1,143 were elderly people living with their families. Results: In terms of socio-demographic characteristics, the percentage of elderly people living alone was high especially in women and when the subjects’ age, education level, and income level were low. In terms of oral health status, the percentage of elderly people living alone was high when elderly people thought that their subjectively viewed health was poor and the frequency of drinking and exercise was low. In terms of oral health status, the percentage of elderly people living alone was high among elderly people who did not have good oral health in their subjective view and did not get oral examinations for a year and had a lot of difficulty chewing. Conclusions: Family support or additional social support for elderly people who live alone should be considered to promote the healthy lives of elderly people.