• Journal of Technologic Dentistry
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• v.33 no.4
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• pp.391-402
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• 2011

Purpose: The purpose of this study was to investigate the factors affecting oral health impact profile. Methods: Subjects included elderly in the metropolitan areas of the cities of Daegu and Gyeong-buk. Statistical analysis was done using the Statistical Package for Social Sciences version 19.0 for Windows. We determined frequencies and percentage, calculating means, and standard deviations, and determining statistical significance using T-tests, analysis of variance, multiple regression analysis. Results: The results of multiple regression analysis between the oral health impact profile and the related factors indicated that Occupation, Economic status are the major component oral health impact profile in general characteristics and the Impediment of oral health promotion behavior is the major component that contribute the oral health impact profile in oral health belief. Conclusion: The comprehensive and reliable research which measures oral health impact profile of elderly is necessary.

• The Transactions of the Korean Institute of Power Electronics
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• v.25 no.5
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• pp.376-384
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• 2020

An energy storage system is composed of lithium-ion batteries in modern applications. Batteries are regarded as storage devices for renewable and residual energy. The failure of batteries can cause the performance reduction and explosion of battery systems. High maintenance cost is essential when dealing with the problem of battery safety. Therefore an accurate health diagnosis is required to ensure the high reliability of battery systems. A battery pack is a combination of single cells in series and parallel connections. A battery pack has to consider various factors to assess battery health. Battery health involves conventional factors and additional factors, such as cell-to-cell imbalance. For large applications, state-of-health (SOH) can be inaccurate because of the lack of factors that indicate the state of the battery pack. In this study, six characterization factors are proposed for improving the SOH estimation of battery packs. The six proposed characterization factors can be regarded as health indicators (HIs). The six HIs are applied to the principal component analysis (PCA) algorithm. To reflect information regarding capacity, voltage, and temperature, the PCA algorithm extracts new degradation factors by using the six HIs. The new degradation factors are applied to a multiple regression model. Results show the advancement and improvement of SOH estimation.

• The Korean Journal of Pesticide Science
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• v.9 no.4
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• pp.287-291
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• 2005

The development of agricultural technology makes the increasement of pesticide usage. The results of pesticide usage were the increment of agricultural outcomes, but the health hazard was increasing also. Especially, alpine agriculture needs more pesticide than general agriculture and they suffered from more pesticide induced health symptoms. There were no study about the pesticide usage and subjective health status. So, this study was performed to investigate the relationship between pesticide usage and health status. The health status was measured by SF-12. SF-12 was well known health status measurement tool. SF-12 have two components, which were mental component score and physical component score. As a results of analysis, the alpine agricultural workers had higher pesticide exposure index and acute symptom score. As the results of multivariate analysis, physical component score was affected by pesticide exposure, but mental component score was not. Although, this study has many limitations, the result of this study can suggest the need of political advise and the further study.

• Smart Structures and Systems
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• v.15 no.5
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• pp.1329-1344
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• 2015

The stiffness of a structure is one of several structural signals that are useful indicators of the amount of damage that has been done to the structure. To accurately estimate the stiffness, an equation of motion containing a stiffness parameter must first be established by expansion as a linear series model, a Taylor series model, or a power series model. The model is then used in multivariate autoregressive modeling to estimate the structural stiffness and compare it to the theoretical value. Stiffness assessment for modeling purposes typically involves the use of one of three statistical model refinement approaches, one of which is the efficient Akaike information criterion (AIC) proposed in this paper. If a newly added component of the model results in a decrease in the AIC value, compared to the value obtained with the previously added component(s), it is statistically justifiable to retain this new component; otherwise, it should be removed. This model refinement process is repeated until all of the components of the model are shown to be statistically justifiable. In this study, this model refinement approach was compared with the two other commonly used refinement approaches: principal component analysis (PCA) and principal component regression (PCR) combined with the AIC. The results indicate that the proposed AIC approach produces more accurate structural stiffness estimates than the other two approaches.

• International Journal of Computer Science & Network Security
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• v.21 no.7
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• pp.365-373
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• 2021

Covid-19 posed a serious threat to public health worldwide, especially in the absence of vaccines or medicines. The only viable strategies to combat a virus with a high infection rate were to apply lock-down strategies, transport ban, social and physical distancing. In this work, we provide a domain-specific component model for crisis management. The model allows for building a plan for managing Covid-19 crisis and use the plan as a template to generate a system specific for managing that crisis. The crisis component model is derived from X-MAN II, a generic component model that we have developed for the aircraft industry

• Journal of Environmental Health Sciences
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• v.30 no.5 s.81
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• pp.455-468
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• 2004

The purpose of this paper is to understand the time series and origin of a chemical component and to compare the difference during yellow sand episodes for analysis $PM_{10}$ chemical components in the region of west in Korean Peninsula, 1999-2001. An annual mean concentration of $PM_{10}$ is $29.1\;{\mu}g/m^3$. A monthly mean and standard deviation of $PM_{10}$ concentration are very high in spring but there is no remarkably seasonal variation. Also, water soluble ionic component of $PM_{10}$ be influenced by double more total anion than total cation, be included $NO_{3}^-\;and\;SO_{4}^{2-}$ for the source of acidity and $NH_{4}^+$ to neutralize. Tracer metals of $PM_{10}$ slowly increases caused by emitted for soil and ocean (Fe, Al, Ca, Mg, Na) and Zn, Pb, Cu, Mn for anthropogenic source. According to method of enrichment factor (E.F) and statistics, assuming that the origin of metal component in $PM_{10}$ most of element in the Earth's crust e.g. Mg, Ca, Fe originates soil and Cu, Zn, Cd, Pb derives from anthropogenic sources. The ionic component for $Na^{+}\;Cl^-,\;Mg^{2+}\;and\;Ca^{2+}$ and Mg, Al, Ca, Fe originated by soil component largely increase during yellow sand period and then tracer metal component as Pb, Cd, Zn decrease. According to factor analysis, the first group is ionic component ($Na^+,\;Mg^{2+},\;Ca^{2+}$) and metal component (Na, Fe, Mn and Ni) be influenced by soil. The second group, Mg, Cr also be influenced by soil particle.

• Research in Community and Public Health Nursing
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• v.26 no.4
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• pp.355-363
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• 2015

Purpose: This study identified the relationships among subjective health status, wisdom, and self-care agency of Korean older adults. Methods: The participants were 274 older adults from Daegu, aged over 65 years. Data were collected by visiting two social welfare centers, two senior welfare centers, and nine senior centers in Daegu from January 18 to February 5, 2013. Data were analyzed through one-way ANOVA, independent t-test, Pearson's correlation, and stepwise multiple linear regression using the IBM SPSS/WIN 19.0 statistical program. Results: A significant positive correlation was found among older adults' subjective health status, wisdom, and self-care agency. Self-care agency was affected by wisdom (47%, ${\beta}=.55$), the physical component summary (18%, ${\beta}=.31$) and mental component summary (1%, ${\beta}=.12$) of subjective health status, and the absence of disease (2%, ${\beta}=.13$). Conclusion: This study suggests that nursing interventions to promote self-care agency in older adults should be developed based on the characteristics of their subjective health status and wisdom.

• Structural Monitoring and Maintenance
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• v.5 no.1
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• pp.93-110
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• 2018

In order to provide a novel strategy for long-span bridge health monitoring system design, this paper proposes a novel ultimate bearing capacity ratios based bridge internal force monitoring design method. The bridge ultimate bearing capacity analysis theories are briefly described. Then, based on the ultimate bearing capacity of the structural component, the component ultimate bearing capacity ratio, the uniformity of ultimate bearing capacity ratio, and the reference of component ultimate bearing capacity ratio are defined. Based on the defined indices, the high bearing components can then be found, and the internal force monitoring system can be designed. Finally, the proposed method is applied to the bridge health monitoring system design of the second highway bridge of Wuhu Yangtze river. Through the ultimate bearing capacity analysis of the bridge in eight load conditions, the high bearing components are found based on the proposed method. The bridge internal force monitoring system is then preliminary designed. The results show that the proposed method can provide quantitative criteria for sensors layout. The monitoring components based on the proposed method are consistent with the actual failure process of the bridge, and can reduce the monitoring of low bearing components. For the second highway bridge of Wuhu Yangtze river, only 59 components are designed to be monitored their internal forces. Therefore, the bridge internal force monitoring system based on the ultimate bearing capacity ratio can decrease the number of monitored components and the cost of the whole monitoring system.

• Proceedings of the Korean Society of Medical Physics Conference
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• 2002.09a
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• pp.404-406
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• 2002

We have investigated the contribution of the scattered x rays to the signal imaging in the radiographs acquired with anti-scatter grids of several grid ratios by separating the line spread functions (LSFs) derived from the signal edge image into the primary and the scatter components. By using a 1.0-mm lead plate in the scattering material, the blurred signal edge images were acquired by use of an imaging plate at a tube voltage of 80 kV with the anti-scatter grids of grid ratios for 5:1, 6:1, 8:1, 10:1 and 12:1. The edge profiles of the signal images were scanned and those in relative exposure were differentiated to obtain the LSFs. To investigate the contribution of the scattered x rays to the signal imaging, we proposed a method for separating the LSFs derived from the signal images into the primary and the scatter components, where the scatter component was approximated with exponential function. Our basic approach is to separate the area of the LSFs by ratios of the scattered x-ray exposure to the primary x-ray exposure, which were obtained for the grid ratios by use of a lead disk method. The LSFs and the two components were Fourier transformed to obtain the modulation transfer functions (MTFs) and their two components. As the result, we found that, by using the anti-scatter grids, the scattered x rays were reduced, but the shape of the LSFs of the scatter component hardly changed. The contributions of the scatter component to the MTFs were not negligible (more than 10 %) for spatial frequencies lower than about 1.0 mm$\^$-l/ and that was greater as the grid ratio decreasing. On the other hand, for higher frequencies, the primary component was dominant compared with the scatter component.

• Korean Journal of Health Education and Promotion
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• v.9 no.2
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• pp.103-120
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• 1992

The purpose of this study was designed for the model development of curriculum of school health education including learning-teaching method, through analysis of results compared between a regular schedule health instruction and irregular health education. And this study is an attempt to give fundamental information for establishing of school health subject as the concept and scope of the school health subject is still not recognized and accepted satisfactorily in Korea. The data were collected by questionnaire from middle school girls and were carried out from 1989 to 1991. The major results obtained from this study were as follows: A Analysis of the case of school health. instruction 1. The responses of students about health eaducation : The positive rate of answers on the 'Health education is very important subject' was 91.2%, and on the 'I can maintain well healthful life : int of selfcare' was 87.1%. 2. The condition on knowledge, attitude and practice about health education: Education group had higher scores than comparison group about all most of questions, especially sex-education and drug abuse prevention education. 3. All the case of disease early founded out during the health instruction were children disease such as bone-tumor, lymphoma, hydrocephalus, and leukemia. B. Model development of school health education 1. Component of the health education subject (1) Healthful Life → Personal Health (2) Physical anatomy and Prevention of disease → Community Health (3) Growth and Development(sex education) → Community Health (4) Environment and Health → Community Health (5) Previntion of drug abuse → Human Health (6) Safety life → Human Health 2. Leanning - teaching method of health instruction (1) A Model of leaning-teaching method : A regular circulating health instruction by the component health subject for 2 hours a month. (2) B Model of leaning-teaching method : A regular schedule health education for hour a week.