• Title/Summary/Keyword: Structural Model Analysis

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Factors Affecting the Awareness of Elderly Support - Focusing on the Comparison of Young and Middle Age generation - (노인 부양의식에 영향을 미치는 요인: 청년세대와 중년세대 비교를 중심으로)

  • Lim, Jeungsuk;Chung, Soondool
    • Korean Journal of Family Social Work
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    • no.58
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    • pp.37-66
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    • 2017
  • The purpose of this study was to investigate the effects of elderly generation sympathy, family intimacy and age-friendly environment of young and middle-aged generations on supporting the older adults, and to identify differences of influencing factors among generations. With these purpose, we used data of the '2017 Age Integration Survey' provided by the Humanities and Social Capacity Enhancement Project in Korea Research Foundation. The analysis of the data was performed on 640 participants who were between 18 and 64 years old, and they were selected from total 1017 study population. The analysis method was the Structural Equation Model(SEM). The results of this study were as follow. Firstly, elderly generation sympathy and family intimacy were significant statistically significant effect on the notion of supporting the older adults positively to all generations. Secondly, the relationship between the notion of supporting the older adults and the influential factors suggested in this study was found to be significant among the generations. Thirdly, the young generation showed a statistically significant effect on the notion of supporting the older elderly generation sympathy and family intimacy. Elderly generation sympathy and family intimacy had a significant statistical impact in the middle aged generation, however, age-friendly environment significant statistically significant effect on notion of supporting the older adults negatively. With these results, we presented practical and policy suggestions to enhance the notion of supporting the older adults.

A Study on the Element Technologies in Flame Arrester of End Line (선박의 엔드라인 폭연방지기의 요소기술에 관한 연구)

  • Pham, Minh-Ngoc;Choi, Min-Seon;Kim, Bu-Gi
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.25 no.4
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    • pp.468-475
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    • 2019
  • An end-line flame arrester allows free venting in combination with flame protection for vertical vent applications. End-line flame arresters are employed in various fields, especially in shipping. In flame arresters, springs are essential parts because the spring load and the spring's elasticity determine the hood opening moment. In addition, the spring has to work under a high-temperature condition because of the burning gas flame. Therefore, it is necessary to analyze the mechanical load and elasticity of the spring when the flame starts to appear. Based on simulations of the working process of a specific end-line flame arrester, a thermal and structural analysis of the spring is performed. A three-dimensional model of a burned spring is built using computational fluid dynamics (CFD) simulation. Results of the CFD analysis are input into a finite element method simulation to analyze the spring structure. The research team focused on three cases of spring loads: 43, 93, and 56 kg, correspondingly, at 150 mm of spring deflection. Consequently, the spring load was reduced by 10 kg after 5 min under a $1,000^{\circ}C$ heat condition. The simulation results can be used to predict and estimate the spring's load and elasticity at the burning time variation. Moreover, the obtained outcome can provide the industry with references to optimize the design of the spring as well as that of the flame arrester.

Stiffness Enhancement of Piecewise Integrated Composite Robot Arm using Machine Learning (머신 러닝을 이용한 PIC 로봇 암 강성 향상에 대한 연구)

  • Ji, Seungmin;Ham, Seokwoo;Cheon, Seong S.
    • Composites Research
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    • v.35 no.5
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    • pp.303-308
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    • 2022
  • PIC (Piecewise Integrated Composite) is a new concept for designing a composite structure with mosaically assigning various types of stacking sequences in order to improve mechanical properties of laminated composites. Also, machine learning is a sub-category of artificial intelligence, that refers to the process by which computers develop the ability to continuously learn from and make predictions based on data, then make adjustments without further programming. In the present study, the tapered box beam type PIC robot arm for carrying and transferring wide and thin LCD display was designed based on the machine learning in order to increase structural stiffness. Essential training data were collected from the reference elements, which were intentionally designated elements among finite element models, during preliminary FE analysis. Additionally, triaxiality values for each finite element were obtained for judging the dominant external loading type, such as tensile, compressive or shear. Training and evaluating machine learning model were conducted using the training data and loading types of elements were predicted in case the level accuracy was fulfilled. Three types of stacking sequences, which were to be known as robust toward specific loading types, were mosaically assigned to the PIC robot arm. Henceforth, the bending type FE analysis was carried out and its result claimed that the PIC robot arm showed increased stiffness compared to conventional uni-stacking sequence type composite robot arm.

The Effect of Job Environmental Factors on Job Satisfaction and Turnover Intention of Container Shipping Workers -Focused on the Difference between Land and Maritime Workers of 'H' Liner Shipping Company- (컨테이너 선사 종사자의 직무환경 요인이 직무만족도와 이직의도에 미치는 영향 - H사의 육상직과 해상직간 차이를 중심으로-)

  • Lee, Won-woo;Ryu, Hee-chan;Lee, Choong-bae
    • Journal of Korea Port Economic Association
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    • v.38 no.1
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    • pp.143-158
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    • 2022
  • The shipping industry has experienced significantly fluctuated while decline in long-term and boom in short-term period due to the continuous recession of the shipping industry since the 2010s and during the recent COVID-19 pandemic. This study aims to suggest implications for securing manpower and personnel policy by analyzing the effects of job environmental factors of a liner shipping company on job satisfaction and turnover intention and differences between land and marine workers. For the analysis, the job environmental factors of a liner shipping company were divided into work character, relational factors, personnel characters, and remuneration factors, and then structural equation model and t-test were conducted to test the relationship between job satisfaction and turnover intention. As a result of the study, it was found that job environmental factors, such as work, relationship, personnel, and remuneration, had a positive (+) effect on job satisfaction, and job satisfaction had a negative (-) effect on turnover intention. In a comparative analysis between groups such as land and sea workers, it was found that the maritime workers group had higher job satisfaction and lower turnover intention than the land workers.

The Mediated Effects of Ego-Resilience and Countertransference Management Ability in the Relationship Between Counselor's Adult Attachment and Development Levels of Counselors (상담자의 성인애착과 상담자 발달수준의 관계에서 자아탄력성, 역전이 관리 능력의 매개효과)

  • Jeong, Jae-Sun;Hong, Hye-Young
    • The Journal of the Korea Contents Association
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    • v.21 no.12
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    • pp.632-644
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    • 2021
  • The purpose of this study was to examine the mediating effect of ego-resilience and countertransference management ability in the relationship between counselor's adult attachment and development levels of counselors. For this purpose, 389 counselors who conducted more than 5 times of verbal counseling per case were surveyed for 3 weeks using the online questionnaire function. Data were analyzed using SPSS 21 and AMOS 21, reliability analysis was conducted, and constructed structural equation model(SEM) and to verify validity, fitness, and mediating effects. The results of the analysis are as follows: First, counselor's attachment anxiety and attachment avoidance had indirect effects on the ability to manage countertransference through the medium of ego-resilience(p<.001). Second, counselor's attachment avoidance had an indirect effect on counselor's developmental level through countertransference management ability(p<.05). Third, it was confirmed that counselor's attachment anxiety and attachment avoidance had an effect on counselor's development level through double mediation of ego-resilience and countertransference management ability(p<.001). The significance and limitations of these results and suggestions for follow-up studies were discussed.

Relationship between Employment Perception of the Disabled and Employment Satisfaction of the Disabled: The Mediating Effect of Employment Assistance for the Disabled and the Moderating Effect of Education and Training Support

  • Hyung-Hee, Kim;Chang-Suek, Choi;Yong-Seob, Kim
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.2
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    • pp.161-170
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    • 2023
  • This study aims to verify the relationship between employer's perception of employment for the disabled and employment satisfaction, and the mediating effect of perception of employment assistance for the disabled and the moderating effect of education and training support. For the purpose of this study, 4,332 companies were reorganized among the data of the 2021 Survey on Employment of Persons with Disabilities conducted by the Korea Employment Agency for the Disabled. Data analysis used SPSS 23.0 and AMOS 23.0, and structural equation model analysis was performed to understand the relationship between variables. As a result of the study, there was a significant influence between employer's perception of employment for the disabled and employment satisfaction, and the partial mediating effect of employment company contribution was confirmed. In addition, it was found that there was a moderating effect according to the presence or absence of education and training support. Through the results of this study, it is significant that factors that can affect environmental composition were considered in various ways to increase the employment rate of the disabled, and based on these results, implications for increasing the employment rate of the disabled were presented.

The Relationship between Exercise Emotion, Leisure Satisfaction and Psychological Well-being of Participants in Life Sports in the COVID 19 (코로나 19상황에서 생활체육 참여자들의 운동정서, 여가만족, 심리적 웰빙의 관계)

  • Jung, Joo-Hyug;Kim, Keum-Ja;Yoo, Jung-In
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.6
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    • pp.81-92
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    • 2021
  • The purpose of this study is to provide basic information to help improve the quality of life by identifying the relationship between exercise emotion, leisure satisfaction, and psychological well-being for subjects who are participating in physical sports on a limited condition in a pandemic situation caused by COVID-19. To achieve the purpose of this study, Statistical analysis was performed accordingly, after data were collected through the significance sampling method using the sports emotion, leisure satisfaction, and psychological well-being scales from members who participate in physical sports at a sports facility located in Gyeonggi-do. As a result of the analysis, first, it was found that there were no significant differences in exercise emotion, leisure satisfaction, and psychological well-being by the gender of the participants. Second, there was a significant difference in exercise emotion, leisure satisfaction, and psychological well-being by the careers of them. Third, there was a significant positive correlation between exercise emotion, leisure satisfaction, and psychological well-being. Fourth, exercise emotion affected psychological well-being, having a positive effect on leisure satisfaction. Finally, exercise emotion had a positive effect on psychological happiness. In conclusion, the exercise emotion had a positive and close correlation between leisure satisfaction and psychological well-being of the participants in Life Sports.

The Effect of Information Quality and Self-efficacy on Car-sharing Usage Intention (정보품질과 자기효능감이 카셰어링 재이용의도에 미치는 영향)

  • Liu, Bo;Byun, Sookeun
    • Journal of Service Research and Studies
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    • v.13 no.3
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    • pp.20-38
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    • 2023
  • Recently, car sharing has shown the most remarkable growth among sharing economy services. In the process of analyzing the intention to reuse the car sharing service, this study tried to reflect the unique characteristics of the service, which consists of non-face-to-face self-service, such as reservation, approval, handover, inspection, and return of the vehicle. Specifically, in addition to the perceived benefits and the perceived risks, we considered 'information quality' as a platform characteristic and 'self-efficacy' as a personal characteristic. To collect data, an online survey was conducted on adults with experience in car sharing, and a total of 320 responses were used for analysis. As a result of analyzing the structural equation model, it was found that information quality and self-efficacy increased the perceived benefits of services, and the higher the information quality, the higher the self-efficacy. On the other hand, the role of information quality and self-efficacy in lowering perceived risks was insignificant, and the intention to reuse services was more affected by perceived benefits than perceived risks. As a result of further analysis using Process Macro, it was found that the effect of self-efficacy on reuse intention was mediated by perceived benefits. It was analyzed that the indirect effects of information quality on reuse intention through perceived benefits or self-efficacy were all significant. These results suggest that providing timely, sufficient, and easy-to-understand information required by users on the platform improves self-efficacy and increases service reuse intention. In order to increase the number of service users, it is important for service providers not only to provide promotional activities such as offering attractive prices, but also to provide high-quality information so that users can use it more easily.

A Study on Machine Learning-Based Real-Time Automated Measurement Data Analysis Techniques (머신러닝 기반의 실시간 자동화계측 데이터 분석 기법 연구)

  • Jung-Youl Choi;Jae-Min Han;Dae-Hui Ahn;Jee-Seung Chung;Jung-Ho Kim;Sung-Jin Lee
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.685-690
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    • 2023
  • It was analyzed that the volume of deep excavation works adjacent to existing underground structures is increasing according to the population growth and density of cities. Currently, many underground structures and tracks are damaged by external factors, and the cause is analyzed based on the measurement results in the tunnel, and measurements are being made for post-processing, not for prevention. The purpose of this study is to analyze the effect on the deformation of the structure due to the excavation work adjacent to the urban railway track in use. In addition, the safety of structures is evaluated through machine learning techniques for displacement of structures before damage and destruction of underground structures and tracks due to external factors. As a result of the analysis, it was analyzed that the model suitable for predicting the structure management standard value time in the analyzed dataset was a polynomial regression machine. Since it may be limited to the data applied in this study, future research is needed to increase the diversity of structural conditions and the amount of data.

Reexamination of Coach-Athlete Relationship Maintenance Scale in Pro Baseball (프로야구 코치-선수관계 유지 척도 재검증)

  • Huh, Jin-Young;Choi, Hun-Hyuk
    • 한국체육학회지인문사회과학편
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    • v.55 no.1
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    • pp.221-233
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    • 2016
  • The purpose of this study was to prove a development and initial validation of the korean version of coach-athlete relationship maintenance scale that originated from the work of Rhind & Jowett(2012) in pro baseball. The items were then administered to 132 Participants(29 coaches and 103 athletes) completed the questionnaires of the coach-athlete relationship maintenance in First preliminary investigation. Maximum likelihood estimate was used to identify the latent underlying structure. In order to verify the validity of Korean version of coach-athlete relationship maintenance was administered to an independent sample of 273 coaches and athletes. Pro baseball coach-athlete relationship maintenance is consisted of six factors(25 items) with conflict management, motivational, preventative, openness/assurance, support, and social network. SPSS18.0 and AMOS16.0 were used to analyze the exploratory factor analysis, confirmatory factory analysis and internal consistency, test-retest with bootstrapping using of the data in this study. The results of the pro baseball coach-athlete relationship maintenance scale had six factors with 25 items, and each six factor was positively correlated. Overall, this study verified pro baseball coach-athlete relationship maintenance questionnaire. Thus, suggest that path of comparing the differences between the first division and farm team by using the test of the structural model invariance across the groups.