• Korean Journal of Health Education and Promotion
• /
• v.30 no.5
• /
• pp.177-188
• /
• 2013

Objectives: The purpose of this study was to evaluate the feeling of distance of social work practitioners for people living with HIV/AIDS(PLWHA) and to identify related factors. Methods: A total of 409 data were collected as convenience sampling from social welfare service providers. Independent variables were socio-demographic data, AIDS related knowledge, authoritarian personality, prejudice for minority(handicapped, women, foreigner, old aged), cultural competency. Data were analyzed by t-test, ANOVA, multiple regression analysis were conducted. Results: Multiple regression model was developed by integrating the significant variables from univariate analysis. Significant factors of physical distance were social prejudice against handicapped, knowledge about AIDS and critical awareness/knowledge about other culture. And significant factors of social distance were social prejudice against handicapped, knowledge about AIDS, authoritarian personality, critical awareness/knowledge about other culture. At last, we found that social prejudice against handicapped was the biggest factor for physical distance and authoritarian personality was the biggest factor for social distance of social work practitioners. Conclusions: The area of social services for PLWHA have to be expanded. Physical and social distance of professionals to provide services to PLWHA and factors affecting it is necessary to continue research. In addition, on the basis of these findings, specific training programs is need to be developed.

• The Korean Journal of Franchise Management
• /
• v.9 no.4
• /
• pp.33-43
• /
• 2018

Purpose - In hotel industry, quality of leader-member exchange(LMX) relationship is very critical, because it impacts on the employee's work attitude and behaviors. Thus, this research examines the effect of LMX on employee loyalty in the context of hotel business and identifies mediating roles of work stressors, work role performance in the relationship between LMX and employee loyalty. This research suggests the guidelines for how hotel leaders should manage their employees and build employee loyalty that improve management and business performance. Research design, data, and methodology - This study tests the structural relationship between LMX, work stressors, work role performance, and employee loyalty. Work role performance divide into three sub-dimensions such as individual task proficiency, individual task adaptivity, and individual task proactivity. In order to examine the purposes of this research, research model and hypotheses were developed. All constructs were measured with multiple items developed and tested in the previous studies. The data were collected from 113 franchise hotel employees and were analyzed using SPSS 22.0 and SmartPLS 3 program. Result - The findings of this research are as follows. First, leader-member exchange(LMX) have significant positive impacts on work stressors, work role performance, and employee loyalty. Second, work stressors have significant negative impacts on work role performance and employee loyalty. Third, work role performance has significant positive impact on employee loyalty. Conclusions - The outcomes of this research indicate that hotel leaders should focus on the dyadic relationship with their employees how to improve employee productivity through LMX relationship. In turn, the quality of this relationship influences employees's work attitudes and behaviors. As a result of increasing job demands in hotel business which relies heavily on human resources, the hotel leader must find ways to prevent or reduce stressors and associated strains. If hotel employees perceive the high quality of LMX relationship, they improve their work role performance which influences loyalty. Therefore, the hotel leaders should develop monetary or non-monetary reward system for the employees and, make an efforts to have unique social exchange relationships with employees.

• Journal of the Korean Society for Railway
• /
• v.13 no.3
• /
• pp.245-250
• /
• 2010

In this work, the stability and safety analysis are carried out to predict the performance of a next generation high-speed railway vehicle (HEMU-400X). Since the safety of the high-speed railway vehicles is very important, it is meaningful to predict the dynamic performance and stability of the railway vehicles using a numerical model at a railway vehicle design step. The critical speed of the dynamic model depending on the conicity of the wheel is calculated in the stability analysis. The critical speed calculated in this analysis is over 400km/h for the conicity value of 0.15, which is determined on the basis of representative international standard, UIC 518. Also, the lateral and vertical accelerations at several points of the same dynamic model are calculated for the safety analysis. In the simulation, the dynamic model runs at the test speed of 440km/h, which is determined considering a maximum target speed, and the total driving distance is 30km. And those estimated values are less than the allowed maximum acceleration values of UIC 518.

• Safety and Health at Work
• /
• v.8 no.3
• /
• pp.267-275
• /
• 2017

Background: The mining industry is known worldwide for its highly risky and hazardous working environment. Technological advancement in ore extraction techniques for proliferation of production levels has caused further concern for safety in this industry. Research so far in the area of safety has revealed that the majority of incidents in hazardous industry take place because of human error, the control of which would enhance safety levels in working sites to a considerable extent. Methods: The present work focuses upon the analysis of human factors such as unsafe acts, preconditions for unsafe acts, unsafe leadership, and organizational influences. A modified human factor analysis and classification system (HFACS) was adopted and an accident predictive fuzzy reasoning approach (FRA)-based system was developed to predict the likelihood of accidents for manganese mines in India, using analysis of factors such as age, experience of worker, shift of work, etc. Results: The outcome of the analysis indicated that skill-based errors are most critical and require immediate attention for mitigation. The FRA-based accident prediction system developed gives an outcome as an indicative risk score associated with the identified accident-prone situation, based upon which a suitable plan for mitigation can be developed. Conclusion: Unsafe acts of the worker are the most critical human factors identified to be controlled on priority basis. A significant association of factors (namely age, experience of the worker, and shift of work) with unsafe acts performed by the operator is identified based upon which the FRA-based accident prediction model is proposed.

• Proceedings of the Korean Society of Propulsion Engineers Conference
• /
• 1997.04a
• /
• pp.133-143
• /
• 1997

In this paper, some of the critical factors in Necking-In process are investigated using a numerical analysis. The optimal processing parameters are established and applied to the actual processes. FEM analysis is carried out based on elastic-plastic work hardening model using ABAQUS/Standard. The results obtained from the commercially available code ABAQUS/Standard are compared with the experimental data and shows a good agreement with experimental data. The purpose of this paper is to search for the relations among the roller angle, feed length, and working force. Stress, strain distribution, displacement and increase in the length of the workpiece are also investigated.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 1997.04a
• /
• pp.910-920
• /
• 1997

In this paper, some of the critical factors in Necking-In process are investigated using a numerical analysis. The optimal processing parameters are established and applied to the actual processes. FEM analysis is carried out based on elastic-plastic work hardening model using ABAQUS / Standard. The results obtained form the commercially available code ABAQUS / standard are compared with the experimental data and shows a good agreement with experimental data. The purpose of this paper is to search for the relations among the roller angel, feed length, and working force. Stress, strain distribution, displacement and increase in the length of the workpiece are also investigated.

• Korean Journal of Community Nutrition
• /
• v.3 no.1
• /
• pp.120-132
• /
• 1998

A major goal of the Community Plant Food Project is to develop partnerships between the Cornell Community Nutrition Program and Community-based organizations, including Cooperative Extension. A core principle behind this work is integrating research and intervention. Based on our work in Rochester, New York, we have developed a process and principles for effective partnerships. This new paradigm what we call the University-Community Partnership Model is a team effort that builds on the experiential literature in the fields of communication, leadership, community and team development, sociology, and participatory research and action. We have applied this model both to increase our understanding of Family Food Decision-making and to develop programs for families. In this project, we have used a variety of qualitative methods to understand food decisions from the perspectives of families and community stakeholders, including a group method for analyzing our qualitative interview data. For our survey of families, we developed the Enhanced Response Method, an approach for improving the validity and reliability of community surveys with families and, at the same time, building relationships with families and other stakeholders in the community for integrated and sustainable interventions. Because the knowledge we develop through the partnership and the interventions we seek to implement are products of the process, we are constantly seeking to refine this knowledge and to adapt emerging interventions through an ongoing evaluation process we call the Continuous Improvement Method.

• Proceedings of the Korean Society for Technology of Plasticity Conference
• /
• 2004.08a
• /
• pp.163-172
• /
• 2004

A fast, accurate model for calculating roll gap variables are critical to the implementation of computer based automation systems for cold rolling mills. Based on the work of Fleck and Johnson, rollgap simulator with non-circular arc model was developed using the influence function. This developed model is capable of predicting values of force, torque and slip which can be applied over the wide range of rolling conditions including cold rolling/DR/temper mill with high execution speed. Friction coefficient was obtained as a function of operation conditions through analyzing measured data. After combination of rollgap simulator with production strategy, draft schedule for No.3 RCM (Reversible Cold Rolling Mill) in Incheon works of Dongbu Steel was developed. This draft schedule will be installed in the setup computer of No.3 RCM replacing old Hitachi model.

• Proceedings of the Korean Society for Technology of Plasticity Conference
• /
• 2009.05a
• /
• pp.270-273
• /
• 2009

This work describes a method of determining material parameters included in recrystallization and grain growth models. Focus is on the recrystallization and grain growth models of Ni-Fe base superalloy, Alloy 718. High temperature compression tests at different strain, strain rate and temperature conditions were chosen to determine the material parameters of dynamic recrystallization model. The critical strain and dynamically recrystallized grain size and fraction at various process variables were quantitated with the microstructual analysis and strain-stress relationships of the compression tests. Besides, isothermal heat treatments were utilized to fit the material constants included in the grain growth model. Verification of the determined material parameters is carried out by comparing the measured data obtained from other compression tests.

• Nuclear Engineering and Technology
• /
• v.55 no.8
• /
• pp.3071-3079
• /
• 2023

Helium production in the nuclear fuel matrix during irradiation plays a critical role in the design and performance of Gen-IV reactor fuel, as it represents a life-limiting factor for the operation of fuel pins. In this work, a surrogate model for the helium production rate in fast reactor MOX fuels is developed, targeting its inclusion in engineering tools such as fuel performance codes. This surrogate model is based on synthetic datasets obtained via the SCIANTIX burnup module. Such datasets are generated using Latin hypercube sampling to cover the range of input parameters (e.g., fuel initial composition, fission rate density, and irradiation time) and exploiting the low computation requirement of the burnup module itself. The surrogate model is verified against the SCIANTIX burnup module results for helium production with satisfactory performance.