• The Journal of Korean Academy of Prosthodontics
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• v.59 no.3
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• pp.299-304
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• 2021

Purpose. The purpose of the present study was to investigate the effects of image matching experience of operators on the accuracy and working time of image registration between radiographic and optical scan images. Materials and methods. Computed tomography and optical scan of a dentate dental arch were obtained. Image matching between the computed tomography and the optical scan (IDC S1, Amann Girrbach, Koblah, Austria) was performed using the point-based automatic registration method in planning software programs (Implant Studio, 3Shape, Copenhagen, Denmark) using two different experience conditions on image registration: experienced group and inexperienced group (n = 15 per group, N = 30). The accuracy of image registration in each group was evaluated by measuring linear discrepancies between matched images, and working time was recorded. Independent t test was used to statistically analyze the result data (α = .05). Results. In the linear deviation, no statistically significant difference was found between the experienced and inexperienced groups. Meanwhile, the working time for image registration was significantly shorter in the experienced group than in the inexperienced group (P = .007). Conclusion. Difference in the image matching experience may not influence the accuracy of image registration of optical scan to computed tomography when the point-based automatic registration was used, but affect the working time for the image registration.

• Journal of Life Science
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• v.30 no.12
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• pp.1101-1108
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• 2020

Tartary buckwheat is a grain with many flavonoids, such as rutin, quercetin, kaempferol, and myricetin. This study aimed to optimize extraction conditions to maximize the rutin, quercetin, and myricetin contents of tartary buckwheat sprout extracts using response surface methodology. A BoxBehnken design containing 15 experiments was employed to evaluate the effects of extraction conditions, such as temperature (X1, 50~70℃), extraction time (X2, 5~9 hr), and ethanol concentration (X3, 60~90%). The coefficients of determination (R2) for all the dependent variables (extraction temperature, extraction time, and extraction ethanol concentration) were determined to be over 0.95, indicating significance. The p-value of the model in lack of fit was over 0.1 than means, indicating that the model was well predicted. The optimal extraction conditions for rutin, quercetin, and myricetin contents were obtained at X1 = 51.03, X2 = 6.62, and X3 = 69.16, respectively. Under these optimal conditions, the predicted rutin, quercetin, and myricetin contents were 808.467 ㎍/ml, 193.296 ㎍/ml, and 37.360 ㎍/ml, respectively. For the validation of the model, ten experiments were performed and the experimental rutin and quercetin contents were measured at 802.84±8.49 ㎍/ml, 193.76±2.80 ㎍/ml, and 34.84±0.43 ㎍/ml, respectively. The experimental rutin and quercetin contents were similar to the predicted contents, but the experimental myricetin content was lower than predicted.

• KIPS Transactions on Computer and Communication Systems
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• v.10 no.3
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• pp.59-70
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• 2021

With the recent advancements in the Internet of Things, context-aware system that provides customized services become important to consider. The existing context-aware systems analyze data generated around the user and abstract the context information that expresses the state of situations. However, these datasets is mostly unstructured and have difficulty in processing with simple approaches. Therefore, providing context-aware services using the datasets should be managed in simplified method. One of examples that should be considered as the unstructured datasets is a deep learning application. Processes in deep learning applications have a strong coupling in a way of abstracting dataset from the acquisition to analysis phases, it has less flexible when the target analysis model or applications are modified in functional scalability. Therefore, an abstraction model that separates the phases and process the unstructured dataset for analysis is proposed. The proposed abstraction utilizes a description name Analysis Model Description Language(AMDL) to deploy the analysis phases by each fat client is a specifically designed instance for resource-oriented tasks in edge computing environments how to handle different analysis applications and its factors using the AMDL and Fat client profiles. The experiment shows functional scalability through examples of AMDL and Fat client profiles targeting a vehicle image recognition model for vehicle access control notification service, and conducts process-by-process monitoring for collection-preprocessing-analysis of unstructured data.

• 한국노년학
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• v.40 no.1
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• pp.91-109
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• 2020

This study aims to investigate the interdependence of Korean middle and old-aged couples in the association between exercise and life satisfaction through grip strength trajectory. Data were drawn from the nationally representative Korea Longitudinal Study of Aging (KLoSA) collected from 2006 to 2016. The sample included couples over 45 years of age in the first wave and participated in all six waves of the survey (Ncouple=1,997). There were three steps for analyses: correlation, parallel latent growth curve model, tests of indirect effects of the mediation paths. Covariates included in the models were husbands and wives' characteristics (age, education, work status, chronic diseases, marital satisfaction, contact frequency with friends or neighbors) and couple's household income. Results showed husbands' and wives' life satisfaction and grip strength were interdependent upon each other. Also, exercise participation of both husbands and wives was associated with both husbands' and wives' life satisfaction via the initial level of grip strength of husbands. Moreover, exercise participation of only husbands was associated with wives' life satisfaction through the initial grip strength of husbands. These results suggest the aging processes of middle and old-aged couples need to be understood in the context of gender dynamics and couple interdependence.

• Journal of Korea Entertainment Industry Association
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• v.14 no.5
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• pp.131-146
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• 2020

This research is based on social flow that is in need of sports welfare that diagnoses the delivery system of sports program pass that is typical business of national sports welfare services and operation structure, and analyze the supplier, operator, beneficiary and all that is related to business from multilateral aspects, therefore seek for operation systems for provision systems of sports welfare services. To clearly grasp the operating mechanisms of service provision system that is happening in real field, there were in-depth interview done by the 18 people of suppliers, operators, and beneficiaries that are the main participants of business, and through which drew an ideal agreed point for sports welfare services to get in the right direction. The result of this study is as following: First, based on the limited government budget for the compilation of budget for the business of sports welfare services it is found that there is need of constructing a pragmatic service provision system that can bring maximum of efficiency. Second, voucher that was introduced for market logic application and greater transparency of the business of sports welfare services has a complex structure that it is in need of simplification of structure which that is well fit with its characteristics. Third, for convenience enlargement in administration and management, make management policy of provision system be reflected and therefore enlarge the independence of management and secure the power of negotiation regarding fee savings through centralized budget management.

• Journal of Internet Computing and Services
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• v.23 no.6
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• pp.59-69
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• 2022

For effective battlefield situation awareness and command resolution, information exchange without seams between systems is essential. However, since each system was developed independently for its own purposes, it is necessary to ensure interoperability between systems in order to effectively exchange information. In the case of our military, semantic interoperability is guaranteed by utilizing the common message format for data exchange. However, simply standardizing the data exchange format cannot sufficiently guarantee interoperability between systems. Currently, the U.S. and NATO are developing and utilizing information exchange models to achieve semantic interoperability further than guaranteeing a data exchange format. The information exchange models are the common vocabulary or reference model,which are used to ensure the exchange of information between systems at the content-meaning level. The information exchange models developed and utilized in the United States initially focused on exchanging information directly related to the battlefield situation, but it has developed into the universal form that can be used by whole government departments and related organizations. On the other hand, NATO focused on strictly expressing the concepts necessary to carry out joint military operations among the countries, and the scope of the models was also limited to the concepts related to command and control. In this paper, the background, purpose, and characteristics of the information exchange models developed and used in the United States and NATO were identified, and comparative analysis was performed. Through this, we intend to present implications when developing a Korean information exchange model in the future.

• Therapeutic Science for Rehabilitation
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• v.12 no.3
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• pp.61-77
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• 2023

Objective : This study analyzed the correlation between cognitive function and oral health-related quality of life (OHQoL). Methods : Demographic and clinical characteristics were extracted and utilized for subjects aged 45 years or older who participated in the 8th Korean Longitudinal Study on Aging in 2020. The dependent variable was the Geriatric Oral Health Assessment Index, and the independent variable was the level of cognitive function classified by the Mini-Mental State Examination scores. The analysis method used inverse probability of treatment weighting (IPTW). Then, the association between cognitive function and OHQoL was analyzed by multiple regression analysis. Results : Among the participants, 4,367 (71.40%) had normal cognition, 1,155 (18.89%) had moderate cognitive impairment, and 594 (9.71%) had severe cognitive impairment. As a result of analysis by applying IPTW, there was a negative correlation between the cognitive function group and OHQoL (normal vs. moderate: β = -2.534, p < .0001; normal vs. severe: β = -2.452, p < .0001). Conclusion : After propensity score matching, mild cognitive impairment showed a more negative association than severe cognitive impairment. Therefore, patients with cognitive impairment require oral health management education to improve OHQoL regardless of the level of cognitive impairment.

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.211-227
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• 2023

Personal service robots, a type of social robot that has emerged with the aging population and technological advancements, are undergoing a transformation centered around technologies that can extend independent living for older adults in their homes. For older adults to accept and use social robot innovations in their daily lives on a long-term basis, it is crucial to have a deeper understanding of user perspectives, contexts, and emotions. This research aims to comprehensively understand older adults by utilizing a mixed-method approach that integrates quantitative and qualitative data. Specifically, we employ the Van Kaam phenomenological methodology to group conversations into nine categories based on emotional cues and conversation participants as key variables, using voice conversation records between older adults and social robots. We then personalize the conversations based on frequency and weight, allowing for user segmentation. Additionally, we conduct profiling analysis using demographic data and health indicators obtained from pre-survey questionnaires. Furthermore, based on the analysis of conversations, we perform K-means cluster analysis to classify older adults into three groups and examine their respective characteristics. The proposed model in this study is expected to contribute to the growth of businesses related to understanding users and deriving insights by providing a methodology for segmenting older adult s, which is essential for the future provision of social robots with caregiving functions in everyday life.

• Journal of the Korean Applied Science and Technology
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• v.40 no.3
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• pp.412-424
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• 2023

The purpose of this study is to analyze how independent variables such as instructors' willingness to innovate, subjective norms, and self-efficacy affect technology acceptance intention through parameters such as ease of use and usefulness, and in what ways, and to suggest ways to revitalize new technology-related education in the beauty field. The results of the analysis of beauty major instructors' intention to adopt digital new technologies showed that innovation intention, subjective norms, and self-efficacy toward new technologies have a defining influence on the parameters of ease and usefulness. These results can be interpreted as a strong recognition of the need to apply new technologies in the beauty field and the need to improve the curriculum for this purpose, but the instructors' own fear of applying new technologies makes it difficult to apply new curriculum in reality. Therefore, the development of teaching materials related to digital technology education that can be easily understood by beauty instructors should be prioritized, and the development and use of related education programs should be expanded. In addition, we are confident that close collaboration with digital new technology and IT-related departments to understand the education of beauty majors and mutual research to develop education programs will help to develop digital new technology education programs tailored to the beauty field.

• Journal of Korean Dental Hygiene Science
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• v.6 no.1
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• pp.65-76
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• 2023

Background: The aim of this study was to examine the association between physical activity and periodontitis in the Korean population. Methods: This study utilized data from 9,191 participants of the Korea National Health and Nutrition Examination Survey. Periodontitis was defined as a CPI score of 3 or 4. Physical activity was assessed by the trained interviewer using the International Physical Activity Questionnaire-Short Form (IPAQ-SF). IPAQ-SF is composed of vigorous physical activity, moderate physical activity, and walking activity. Multivariable logistic regression analyses and stratified analyses by obesity were performed. All analyses were conducted separately for males and females. Results: Females who engaged in vigorous and moderate physical activity had a 28% (OR = 0.72, 95% CI = 0.54 - 0.95) and 34% (OR = 0.66, 95% CI = 0.44 - 0.98) lower risk of periodontitis, respectively. In obese females, moderate physical activity in obese had a 65% lower risk of periodontitis (OR = 0.35, 95% CI = 0.18 - 0.67). Conclusions: Our findings suggest that moderate-intensity physical activity was inversely associated with a lower risk of periodontitis. In obese females, moderate physical activity had an independent inverse association with periodontitis.