• Title/Summary/Keyword: 융합적 관계

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Association Between Cognitive Impairment and Oral Health Related Quality of Life: Using Propensity Score Approaches (인지기능과 구강건강관련 삶의 질의 연관성에 대한 연구: 성향점수 분석과 회귀모델을 중심으로)

  • Cha, Suna;Bae, Suyeong;Nam, Sanghun;Hong, Ickpyo
    • 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.

Electric vehicle battery remaining capacity analysis method using cell-to-cell voltage deviation (셀간 전압 편차를 활용한 전기자동차 배터리 잔존용량 분석 기법)

  • Gab-Seong Cho;Dae-Sik Ko
    • Journal of Platform Technology
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    • v.11 no.2
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    • pp.54-65
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    • 2023
  • Due to the nature of electric vehicles, the batteries used for electric vehicles have a very large rated capacity. If an electric vehicle runs for a long time or an electric vehicle is abandoned due to a traffic accident, the electric vehicle battery becomes a waste battery. Even in vehicles that are being abandoned, the remaining capacity of waste batteries for electric vehicles is sufficient for other purposes. Waste batteries for automobiles are very expensive, so they need to be recycled and reused, but there was a problem that the standards for measuring the performance grade of waste batteries for recycling and reuse were insufficient. As a method for measuring the remaining capacity of waste battery, the most stable and reliable method is to measure the remaining capacity of battery using full charge and discharge. However, the inspection method by the full charging and discharging method varies depending on the capacity of the battery, but it takes more than a day to inspect, and many people are making great efforts to solve this problem. In this paper, an electric vehicle battery residual capacity analysis technique using voltage deviation between cells was studied and analyzed as a method to reduce inspection time for electric vehicle batteries. To this end, a full charging and discharging-based capacity measurement system was constructed, experimental data were collected using a nose or waste battery, and the correlation between the voltage deviation and the remaining capacity of the battery pack was analyzed to verify whether it can be used for battery inspection.

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A Study on the Improvement Direction of Selection Evaluation Indicators for the Land Transport Technology Commercialization Support Project: Focusing on the Follow-up Project Linkage Plan (국토교통기술사업화지원사업 선정평가 지표 개선방안 연구: 후속사업 연계 방안을 중심으로)

  • Hyung-Wook Shim;Seok-Ki Cha;Seung-Hee Back
    • Journal of Industrial Convergence
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    • v.20 no.12
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    • pp.87-96
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    • 2022
  • The Ministry of Land, Infrastructure and Transport has also been promoting the commercialization of land transport technology to commercialize the technologies owned by small and medium-sized venture companies, and to support the transfer and commercialization of public technologies. At this point, in order to improve the investment effect of subsequent new projects and to select excellent research institutes, it is necessary to establish a valid evaluation index system suitable for the purpose of the project. The evaluation index system for subsequent new projects should be linked to the project objectives and goals of the preceding project, and should be selected in consideration of existing evaluation indicators to prevent interruption of research results. Therefore, this thesis sets the evaluation index system into multiple scenarios through hierarchical cluster analysis using the evaluation result data for each evaluation committee for small and medium venture companies participating in the land transportation technology commercialization support project, and then analyzes the structural equation model. As a result of scenario analysis, considering the measurement effect of each path representing the causal relationship between evaluation indicators and the effect of each evaluation index on evaluation items, the scenario with the highest impact on the evaluation result was selected as an improvement plan.

The Effects of Pre-service Early Childhood Teachers' Teaching Ethics and Empathy on Awareness of Children's Rights (예비유아교사의 교직윤리와 공감능력이 아동권리인식에 미치는 영향)

  • Seung Hwa Jwa;Se Jin Eom
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.281-286
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    • 2023
  • We aimed to find out how teaching ethics and empathy affect the perception of children's rights with 297 pre-service early childhood teachers enrolled in the Department of Early Childhood Education at universities located in Busan. Through this, the purpose of this study was to present basic data for the development of a character development program for a high-quality early childhood teacher training institution. We derived the following research results. First, as a result of examining the degree of recognition of pre-service early childhood teachers' teaching ethics, empathy, and awareness of children's rights, the average value was high in the order of teaching ethics, awareness of children's rights, and empathy. Second, there was a positive correlation between pre-service early childhood teachers' empathy ability, teaching ethics and awareness of children's rights, and empathy ability and awareness of children's rights. Third, as a result of examining the relative effects of teaching ethics and empathy of pre-service early childhood teachers on the recognition of children's rights, social ethics was found to be the strongest predictor among teaching ethics. In this study, we identified that teaching ethics and empathy are effective in various approaches to promote awareness of children's rights in pre-service early childhood teachers. And the results of this study provides the basic data for the character development of desirable teachers that pre-service early childhood teachers should have.

Effect of Nursing Workplace Spirituality, Grateful Disposition, Hope on Nursing Performance among General Hospital Nurses (임상간호사의 간호일터영성, 감사성향, 희망이 간호업무성과에 미치는 영향)

  • Kim, Young Hee
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.257-266
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    • 2023
  • This descriptive research study investigates nursing Workplace spirituality, grateful disposition, hope, and nursing performance of clinical nurses to identify related factors. The study participants were 323 nurse working general hospitals K, P, and S cities. Data were collected during July and August 2022 using a structured questionnaire. The SPSS 25.0 program was used to analyze descriptive statistic, t-test, ANOVA, Pearson correlation coefficient, and hierarchical regression analysis. The study results indicated that nursing performance was 4.23 out of 7, nursing workplace spirituality was 4.48 out of 7, grateful disposition was 4.23 out of 7, and hope was 2.77 out of 4. Result showed that nursing performance is positive associated nursing workplace spirituality (r=.58, p<.001), grateful disposition (r=.41, p<.001), and hope (r=.47, p<.001). The result of hierarchical regression analysis that grateful disposition (β=.417, p<.001), hope (β=.357, p<.001), and nursing workplace spirituality (β=.235, p<.001), were predictive of nursing performance (R2=.301, p<.000). Therefore, educational programs and workforce management systems that can enhance nursing workplace spirituality, grateful disposition, and hope in the workplace are needed to improve nursing performance.

A Study on the Relationship between Virtual influencer Attributes, Imitation Intention, and Usage Intention (가상 인플루언서의 속성과 모방의도, 이용의도의 관계에 관한 연구)

  • Park, Jinwoo
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.3
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    • pp.245-251
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    • 2022
  • This study attempted to examine the effect of virtual influencer, which is highly interested in consumers, and has recently been increasing the frequency of use in corporate marketing activities. In particular, the purpose is to examine the effect of the attributes of virtual influencer on consumers as an information source for a product or brand. To this end, the effect of perceived attractiveness, trustworthiness, and expertise of virtual influencer on SNS usage intention and imitation intention consumers was examined. As a result of the study, it was found that attractiveness among the attributes of virtual influencer had a positive effect on the usage intention, and attractiveness and trustworthiness had a positive effect on imitation intention. In addition, it was found that imitation intention had a positive effect on usage intention. In other words, the perceived attractiveness of virtual influencer by consumers through SNS is the most important attribute. These findings imply that when virtual influencer is used in marketing, companies must perceive the attractiveness of virtual influencer through content posted on SNS as well as their attributes as information sources. We expect the results of this study to provide major implications for marketing activities such as companies and public institutions that consider using virtual influencer.

Study on the Concept of Gender Design in Product Design - Centered on analysing graphic element of refrigerator - (제품디자인에 있어서 젠더디자인 개념의 재정립에 관한 연구 - 냉장고의 그래픽 요소 분석을 중심으로 -)

  • Lee, Ju hyun;Lee, Yoo jin;Park, Seung ho
    • Design Convergence Study
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    • v.14 no.1
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    • pp.99-114
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    • 2015
  • This study aims to find a way to realize gender identity in product design. After reviewing the present research, it was found out that it is necessary to extend notion of gender and to redefine the concept of gender design. Specific products were selected in order to analyze the characteristics of femininity. Refrigerators, which represent the femininity the best, were chosen and analyzed based on the graphic elements. As a result, the concept of gender have been used quite limitedly in a refrigerator. Since the stereotype of women has already been implicit, it was considered difficult to propose an alternative plan for realizing the extended concept of gender. Therefore, digital devices have been proposed for a potential alternative group. This product group, of course, has a limitation like the refrigerators. However, when functions, frequency of use, and use of space are considered in depth, It can be a possible group that holds the meaning of gender in design. This study is significant that it attempted to examine the possibility of convergence in identity and usability when the graphic elements of a product are constructed by gender design that considers the identity of a user through redefining the concept of gender.

A Study on the AI Analysis of Crop Area Data in Aquaponics (아쿠아포닉스 환경에서의 작물 면적 데이터 AI 분석 연구)

  • Eun-Young Choi;Hyoun-Sup Lee;Joo Hyoung Cha;Lim-Gun Lee
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.3
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    • pp.861-866
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    • 2023
  • Unlike conventional smart farms that require chemical fertilizers and large spaces, aquaponics farming, which utilizes the symbiotic relationship between aquatic organisms and crops to grow crops even in abnormal environments such as environmental pollution and climate change, is being actively researched. Different crops require different environments and nutrients for growth, so it is necessary to configure the ratio of aquatic organisms optimized for crop growth. This study proposes a method to measure the degree of growth based on area and volume using image processing techniques in an aquaponics environment. Tilapia, carp, catfish, and lettuce crops, which are aquatic organisms that produce organic matter through excrement, were tested in an aquaponics environment. Through 2D and 3D image analysis of lettuce and real-time data analysis, the growth degree was evaluated using the area and volume information of lettuce. The results of the experiment proved that it is possible to manage cultivation by utilizing the area and volume information of lettuce. It is expected that it will be possible to provide production prediction services to farmers by utilizing aquatic life and growth information. It will also be a starting point for solving problems in the changing agricultural environment.

An Analysis of Safety Zone Appropriateness of Urban Railway Box Structures by Adjacent Excavation Using Machine Learning Technique (머신러닝 기법을 적용한 인접굴착에 따른 도시철도 박스구조물의 안전영역 적정성 분석)

  • Jung-Youl Choi;Jae-Seung Lee;Jee-Seung Chung
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.3
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    • pp.669-676
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    • 2023
  • This study analyzed the relationship between major parameters and numerical analysis results according to various excavations conducted around the urban railway, application of machine learning techniques and verified the scope of influence of the adjacent excavation on the existing urban railway box structure and the appropriateness of the safety area. This study targeted the actual negotiated adjacent excavation works and box structures around the urban railway, and the analysis was conducted on the most representative two-line box structures. The analysis confirmed that the difference in depth of urban railway, excavation depth of adjacent excavation, and depth of underground water level are important parameters, and the difference in excavation depth of adjacent excavation is the parameter that affects the behavior of underground box structures and is an important requirement for setting safety areas. In particular, the deeper the depth of the adjacent excavation work, the greater the effect on the deflection of the underground box structure, and the horizontal separation distance, one of the important requirements for determining the management grade of the existing adjacent excavation work, is relatively small.

Effect of Learning Flow and Problem Solving Ability, Professor-student Interaction on Academic Achievement of Nursing Students in Untact Lecture (비대면 수업에서 간호대학생의 학습몰입, 문제해결능력, 교수-학생 상호작용이 학업성취도에 미치는 영향)

  • Sook Hee Choi
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.3
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    • pp.271-279
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    • 2023
  • The purpose of this study was to investigate the effect of learning flow, problem solving ability, professor-student interaction of academic achievement in nursing students. Data were collected from 274 nursing students in B city and analyzed by t-test, ANOVA, Pearson correlation coefficient, and hierarchial multiple regression using SPSS/WIN 22.0. The degree of academic achievement in nursing students was 3.70±0.70. There were significant differences in academic achievement with grade(F=4.755, p=.003), campus life satisfaction(F=5.643, p=.004), major satisfaction(t=5.794, p=.003), adapting to COVID-19(F=7.961, p<.001), satisfaction to non-face-to-face environment class(F=18.353, p<.001). There was positive correlation between academic achievement and learning flow(r=.649, p<.001), problem solving ability(r=.333, p<.001), professor-student interaction(r=.479, p<.001). The factors affecting academic achievement of the study subjects were learning flow(β=.563, p<.001), professor-student interaction(β=.280, p<.001), with an explanatory power of 52.0%. Therefore, strategies increase the academic achievement of nursing students in untact lecture, and environment improvement to increase learning flow and professor-student interaction are needed.