• The Journal of Asian Finance, Economics and Business
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• v.6 no.1
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• pp.315-319
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• 2019

The paper aims to investigate empirical causes of poverty of the Khmer ethnic people and suggest policy implication to help the Khmer ethnic people escape poverty in Tra Vinh province and the Mekong Delta. The study has been conducted with direct interviews with 300 Khmer households living in seven districts and cities in Tra Vinh province and with the use of multivariate regression. The research results show that a number of causes that affect poverty of poor households include lack of capital for production, lack of means of production, poor health and lack of labor, large families, lack of job opportunities or unemployment, and lack of willingness to escape poverty and education. Thus, there should be poverty reduction policy for the poor househlods in the coming time. Based on the current situation and regression results, the authors propose a number of recommendations: 1) Focus on preferential loan policies for poor people 2) Provide occupational training programs for improving incomes for the Khmer ethnic households 3) Build up special infrastructure in the Khmer ethnic areas 4) Focus on promoting cultural and belief institutions in areas of the Khmer ethnic people and 5) Improve and build up healthcare clinics services and facilities.

• Proceedings of the KSR Conference
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• 2008.11b
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• pp.698-705
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• 2008

Under the rapid change in environment of our society and culture, it is also called for a reform in railway management that has traditionally focused on transportation service. Thus developing a business model to use station buildings as a new source of profit has become a promising core business of railway companies. This study aims to find a way to maximize profits by strategically utilizing station buildings and thereby increasing accessibility to customers and consolidating facilities as a key service point. The subjects of this study include eight station buildings that can represent three types of railway stations including departure stations, junction stations, and metro stations. The researcher conducted an analysis on moving lines for examining user distribution and facility utilization within the selected buildings, a survey for collecting basic information on usage and measuring customer satisfaction of facility in the buildings, and a sight analysis to examine accessibility to the station buildings. On the basis of these analyses, the researcher examined the correlations between convenience, visibility, recognizability and functionality with regard to commerce, amenities, couches, direction boards, etc. within station waiting rooms. On the basis of the above analyses, the researcher provides a scheme to increase profitability in railway operation business and customer benefits of using station buildings by drawing up a plan to improve usage of station buildings and maximize profit-making potential for each category of station buildings.

• Proceedings of the SAREK Conference
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• 2006.06a
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• pp.872-878
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• 2006

In recent years the importance of the preservation of cultural artefacts like ancient tombs has been widely accepted domestically and internationally as the quality of life improves. However not much technical attention has been paid for the facilities and systems to preserve those artefacts. Even the general understanding of the preservatory environment of the underground space as tombs is poor. As a part of the present study, the temperature and relative humidity inside a selected artefact, Shinkwan-ri tomb, have been monitored for a year round by the present author to improve the understanding of the indoor thermal environment, is pursued to provide a predictive tool of numerical modelling of Shinkwan-ri tomb the opened underground space thermal environment. In this study, predictive numerical modelling of Shinkwan-ri tomb using the Computational Fluid Dynamics, calculate the velocity and temperature distribution and offer basic data which are necessary for the best fitted design of tomb air-conditioning device.

• Journal of Environmental Health Sciences
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• v.44 no.6
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• pp.591-598
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• 2018

Objectives: Radiologists are the service worker with emotional labor who works within a relatively small space of the hospital, dealing with multiple patients. The purposes of this study were to search the turnover intention and job satisfaction through the work of emotional labor of radiologists. Methods: A questionnaire survey was conducted on 109 radiologists working at university hospitals, general hospitals, clinics and other facilities across the domestic. The regions were aggregated according to Quality Function Deployment (QFD) method, which was applied in proportion to the population distribution. A questionnaire was composed of 26 questions which were used in Korean Emotional Laboratory Scale (K-ELS). Results: The overall emotional labor score was $48.3{\pm}15.8$. The most pressing requirement of radiologists to improve emotional labor was the topic about the exchange of colleagues ($75.8{\pm}15.6$ score, ${\beta}=0.78$, p<0.001). Conclusions: In order to resolve the emotional labor of radiologists, it could be necessary to have a meeting through training and workshops where the exchange of colleagues can take place.

• Journal of Korean Public Health Nursing
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• v.33 no.1
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• pp.59-72
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• 2019

Purpose: Nursing homes are a type of residential care that provide diverse services such as planned activities, convalescent care, skilled nursing and memory care. Nursing homes are good facilities for old people with dementia to improve their quality of life. On the other hand, the subjectivity toward nursing homes can vary to greater or lesser degrees. The purpose of this study was to identify the subjective attitudes and viewpoints toward nursing homes in undergraduate nursing students. Methods: The Q methodology, which is a research method to study the people's subjectivity, was used. The 40 Q-statements selected from each of 43 participants were classified into the shape of a normal distribution. The data collected were analyzed using the QUANL program. Results: Three types of subjectivity toward nursing homes emerged: 'Type I, in terms of usage of nursing homes-hesitative perspectives;', 'Type II, in terms of running of nursing homes-progressive perspectives;', and 'Type III, in terms of admission to nursing homes-constructive perspectives'. Conclusion: The findings of this study suggest that nursing intervention programs should be developed for the three types. The study results will lead to further research.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.807-815
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• 2021

Microfinance is seen as a tool for poverty elimination by providing various services characterized as financial and non-financial to minority groups in the society to be included in the mainstream financial system. This paper seeks to examine the effect of microfinance institutions' (MFIs) financial and non-financial services on women's entrepreneurship and empowerment in Jordan as a developing country. To gain a deeper understanding of the effectiveness of microfinance services, the study is undertaken to address the question of what kinds of services are available and whether the MFI services are in line with the actual needs of women entrepreneurs to improve their performance. Hence, a qualitative approach was adopted in this study using semi-structured interview questions to collect data from twenty-four women entrepreneurs in Jordan. The results showed that, as regards financial services, the most important needs of women entrepreneurs include providing adequate financing with necessary financial facilities such as reducing interest, reducing monthly installments, and extending the grace period, while non-financial services should include holding specialized courses, accessing a counseling center, providing incentives and psychological support, marketing support, and monitoring and evaluation. This study concluded that factors associated with MFI play a crucial role to uplift women entrepreneurs and eliminate gender inequality.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.10
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• pp.243-249
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• 2022

Improving the quality of teaching staff in universities is an important goal of most universities. Therefore, it is necessary to evaluate the factors affecting the quality improvement of lecturers at universities. There are many factors affecting the improvement of this quality of human resources. This article uses the survey method to assess the factors affecting the improvement of the quality of lecturers in education and training institutions of the Ministry of Transport of Vietnam. Currently, the Ministry of Transport of Vietnam has 4 educational institutions. The research team has assessed the impact factors at these 4 facilities. The research team conducted a survey for faculty members of the Ministry of Transport. The result was 446 votes. The authors have performed factor evaluation by multivariate regression model. The influencing factors include Professional competence, the virtue of teaching staff, scientific research capacity, participating in building a democratic educational environment, Professional support policy, Instructor's income, and Information technology support. Research results show that most of the factors have a positive impact on improving the quality of lecturers. Based on the survey results, the authors also make policy suggestions to further improve the quality of teaching staff of the schools in the coming time.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.4
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• pp.143-152
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• 2022

The purpose of this paper is to investigate the impact of several factors on students' decisions to attend a public institution in Vietnam's North Central area. The enrollment issue toward regional institutions is particularly critical in the Vietnam Ministry of Education and Training reforming the university enrollment process and the complicated scenario of the Covid-19 pandemic. A total of 500 students were surveyed for research samples. Data is synthesized, validated, cleaned, and analyzed using SPSS and AMOS software using methods including reliability, EFA, CFA, and SEM. The findings suggest that the proposed independent components (individual factors, study fees, advertisement, infrastructure and facilities, local features, and lastly, training activities) have a beneficial impact on students' decision to attend a public university in the North Central region. The study also found that the graduation exam outcome had a moderating effect on the relationship between registration and students' decisions. These imply targeted solutions for regional public universities to diversify training majors, improve training quality, capitalize on local advantages, increase interaction, and promote training programs and image to be more effective in attracting students and maintaining competition in the current enrollment environment.

• Smart Structures and Systems
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• v.29 no.1
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• pp.153-166
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• 2022

Identifying fine cracks in steel bridge facilities is a challenging task of structural health monitoring (SHM). This study proposed an end-to-end crack image segmentation framework based on a one-step Convolutional Neural Network (CNN) for pixel-level object recognition with high accuracy. To particularly address the challenges arising from small object detection in complex background, efforts were made in loss function selection aiming at sample imbalance and module modification in order to improve the generalization ability on complicated images. Specifically, loss functions were compared among alternatives including the Binary Cross Entropy (BCE), Focal, Tversky and Dice loss, with the last three specialized for biased sample distribution. Structural modifications with dilated convolution, Spatial Pyramid Pooling (SPP) and Feature Pyramid Network (FPN) were also performed to form a new backbone termed CrackDet. Models of various loss functions and feature extraction modules were trained on crack images and tested on full-scale images collected on steel box girders. The CNN model incorporated the classic U-Net as its backbone, and Dice loss as its loss function achieved the highest mean Intersection-over-Union (mIoU) of 0.7571 on full-scale pictures. In contrast, the best performance on cropped crack images was achieved by integrating CrackDet with Dice loss at a mIoU of 0.7670.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.24 no.6
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• pp.52-59
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• 2010

As electric power demand of customers is constantly increasing, more bulk power systems are needed to install in a network. By development of renewable energies and high-efficient facilities and deregulated electricity market, moreover, the amount of distributed resource is considerably increasing in distribution network consequently. Also, distribution network has become more and more complex as mesh network to improve the distribution system reliability and increase the flexibility and agility of network operation. These changes make fault current increase. Therefore, the fault current will exceed a circuit breaker capacity. In order to solve this problem, replacing breaker, changing operation mode of system and rectifying transformer parameters can be taken into account. The SFCL(Superconducting Fault Current Limiter) is one of the most promising power apparatus. This paper proposes a methodology for on optimal location of SFCL. This place is defined as considering the decrement of fault current by component type and the increment of reliability by customer type according to an location of SFCL in a distribution network connected with DG(Distributed Generation). With case studies on method of determining optimal location for SFCL applied to a radial network and a mesh network respectively, we proved that the proposed method is feasible.