• Journal of Industrial Convergence
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• v.20 no.3
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• pp.81-87
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• 2022

The purpose of this study is to investigate the actual conditions of students before and after acquiring national technical qualifications for nail cosmetologists, and to provide basic data for building systematic data according to students' competency and effective educational methods for acquiring qualifications. The statistical package program SPSS v 18.0 was used for the trend of acquiring national technical qualifications for nail cosmetologists among each variable according to careers in the nail beauty industry for nail beauty students residing in Gwangju. As a result of using the statistical package program SPSS v 18.0, the analysis showed that the proportion of women (80.8%), single (70.8%), 20s (47.7%), college or university graduates (26.2%), and students (42.3%) was high. In addition, as a result of cross-analysis of the period and cost according to gender for obtaining the national technical license of the nail beautician, it was concluded that the Pearson chi-square significant probability (p) was .416 and .899, respectively, and there was a difference between men and women. The field experience of the nail beauty industry was found to have a significant positive (+) effect on the training period, course cost, educational institution, and exam experience (p <.001) for obtaining a certificate. Based on the results of this study, it is necessary to promote the development of nail beauty marketing and to present a constructive vision of the nail beauty industry to be pursued in the future.

• Korean Journal of Construction Engineering and Management
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• v.10 no.3
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• pp.139-147
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• 2009

Accurate construction cost estimation in the initial stage of building project plays a key role for project success and for mitigation of disputes. Total construction cost(TCC) estimation of apartment projects in Vietnam has become more important because those projects increasingly rise in quantity with the urbanization and population growth. This paper presents the application of artificial neural networks(ANNs) in estimating TCC of apartment projects. Ninety-one questionnaires were collected to identify input variables. Fourteen data sets of completed apartment projects were obtained and processed for training and generalizing the neural network(NN). MATLAB software was used to train the NN. A program was constructed using Visual C++ in order to apply the neural network to realistic projects. The results suggest that this model is reasonable in predicting TCCs for apartment projects and reinforce the reliability of using neural networks to cost models. Although the proposed model is not validated in a rigorous way, the ANN-based model may be useful for both practitioners and researchers. It facilitates systematic predictions in early phases of construction projects. Practitioners are more proactive in estimating construction costs and making consistent decisions in initial phases of apartment projects. Researchers should benefit from exploring insights into its implementation in the real world. The findings are useful not only to researchers and practitioners in the Vietnam Construction Industry(VCI) but also to participants in other developing countries in South East Asia. Since Korea has emerged as the first largest foreign investor in Vietnam, the results of this study may be also useful to participants in Korea.

• Journal of Korean Society for Geospatial Information Science
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• v.12 no.1 s.28
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• pp.79-85
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• 2004

The GIS(Geographic Information System) projects require big initial investment and cost of maintenance. Decision makers would not launch GIS projects unless they are convinced of the benefits of the projects. Therefore the purpose of this paper is to develop an appropriate model for GIS project evaluation. We proposed a GIS project evaluation model and summarize the steps involved in Cost-Benefit Analysis(CBA). The costs of a GIS implementation include hardware and software cost, costs of database development, training expenses, annual maintenance expenses, and other annual expenses. The benefit by using GIS has been assessed into Type I(direct benefits), Type II(indirect benefits), Type III(benefits that result from the sale of information services), Type IV(intangible benefits).

• Health Policy and Management
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• v.4 no.1
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• pp.107-122
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• 1994

Many alternatives have been discussed to reduce the medical expenditure and to use the medical resources effectively. Many studies about the economies of scale have been done for the last several decades. This study has analyzed the relationship between the number of beds and the mean expense per hospitalization day in Korea. A Cost Function Model was identified and we wanted to see the minimum optimal size with the cheapest mean expense per hospitalization day. The result is as follows; 1. In the Cost Function Mode, (the number of beds)$^{2}$, the number of personnel, productivity and training institutions are the factors that statisticaly influence the mean expenses. 2. By the univariate analysis the mean expense proved to be the smallest as the level of 150-200bed, The breaked down of the components of expenses shows that the mean labor cost is much different from the mean value of material and administration costs, and that hospital with 150-200 beds also have the minimal expense. The mean expense goes up dramatically in hospitals of 450 beds or more. 3. When the other conditions are constant, according to the multiple regression analysis of the mean expense per adjusted hospitalization day the minimum optimal size with the cheapest expense is a hospital with 191 beds and the hospital with 230 beds takes the lowest mean labor cost. The material or administration costs are not influenced by hospital size. This research has limitation in measuring the variables that influence hospital xpenses, in estimating hospital output by the number of beds in considering outpatient cost and in securing representativeness of hospitals because many hospitals made no responses to the research questionnare. But it is valuable and helpful for development of health policy to figure out the number of beds with the cheapest expense per hospitalization day.

• Journal of Preventive Medicine and Public Health
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• v.57 no.4
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• pp.407-419
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• 2024

Objectives: This study was conducted to measure financial toxicity (FT) among patients with cancer in Vietnam using the COmprehensive Score for financial Toxicity (COST) and to describe the cost management strategies employed by these patients. Methods: This comprehensive cross-sectional study enrolled 634 patients from 2 specialized oncology hospitals in Vietnam. Using COST cut-off scores, FT was classified as none/mild (≥26), moderate (14-25), or severe (≤13). Cost management strategies, or coping mechanisms, were classified into 4 groups: lifestyle changes, financial resource strategies, treatment modifications, and support seeking. Results: The prevalence of FT was 91.8%, with 51.7% of participants demonstrating severe and 40.1% exhibiting moderate FT. Severe FT was significantly associated with female, low education level, unstable employment, low household economic status, and advanced cancer stage. The most common coping strategies were as follows: among lifestyle changes, reducing spending on basic items and leisure activities (78.7%) and cutting back on essential household expenses (66.4%); among financial resource strategies, borrowing money from relatives or friends (49.1%) and withdrawing funds from retirement or savings accounts (34.1%); within treatment modifications, switching treatment facilities or doctors due to cost concerns (9.3%); and within support seeking, obtaining help from welfare or community organizations (18.8%). All strategies were significantly more likely to be used by patients with severe FT. Conclusions: FT was highly prevalent among patients with cancer. Most patients relied on lifestyle adjustments and coping strategies, underscoring the need for improved financial support systems to alleviate the economic burden associated with cancer care.

• The Journal of Sustainable Design and Educational Environment Research
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• v.13 no.1
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• pp.24-31
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• 2014

This study is focused to find the ways to improve the effective BIM introduction plan on school building construction by Delphi Technique. For this, the questionnaire is made by in-depth interviews of 10 BIM specialists, the survey of other 30 experts was carried out. The results of 30 experts Delphi survey are as followed. (1) The haptic effect of BIM introduction is very rare as lack of awareness and information on BIM. (2) Problems are arising from deficiency of training and experience on BIM. (3) Practical utilizations of BIM are very useful. (4) Barriers of the spread of BIM are high cost and insufficient environments. (5) The development potential of BIM is high. In order to activate the BIM market, the introduction of an accurate evaluation criteria and rational cost calculation standard are needed.

• Journal of Korean Physical Therapy Science
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• v.7 no.1
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• pp.285-294
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• 2000

80 persons who don't have past history of cardiopulmonary and neuromuscular disease. The results were as follow; 1. PCI(Physiological Cost Index) value without loading to ankle were significantly increased compared to 1kg, and 2kg (p<0.01). 2. Female Subjects showed more increased PCI value in without loading and lkg, 2kg loading compared to male subjects (p<0.01). 3. In every PCI condition the difference among height groups was observed (p<0.01). 4. The difference among weight groups in each PCI condition was observed (p<0.01). These results showed that energy consumption was increased according to loading on the ankle during gait so weight of orthosis or prosthesis must be considered when choosing them and during gait training with these ones.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.3 no.4
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• pp.227-232
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• 2002

Electronic Travel Aids (ETA) developed for the blind such as sonicguide, mowat sensor and bionic C-5 laser cane have many problems like technical deficiency and high cost. Moreover, these systems have need for more training to perceive obstacle around. Therefore, In this study, we studied the blind's obstacle perception characteristics by human auditory sense, and development of ultrasonic ETA which have more simple usage, low cost and immediate usableness than present ETAs.

• Journal of the Korea Computer Industry Society
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• v.8 no.4
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• pp.221-228
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• 2007

Many kinds of microcontrollers such as 8051, PIC16 and Atmega series are used for the automatic control system, home appliances and communication equipments manufacturing. It is very important to understand the basic operational principles of microcontrollers and their design concepts. There are many kinds of educational microcontroller trainers and also they are designed and assembled very complicatedly. For the students or developers, it is very difficult to catch the basic operation schemes and apply the techniques to the control system. And also it requires much cost and time for the various kinds of trainers purchasing. In this paper, standardization of pins layout and peripheral modules for the general microcontroller usage was introduced and tested with 89C2051, 89C51, PIC16F84, PIC16F877, Atmega8535 and Atmega128, etc. As a result of test, it was found that saving the cost and time using this suggested device was possible. And also it was very effective way to understand microcontroller design and programming techniques.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06c
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• pp.393-396
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• 2011

In this paper, we propose a constrained alternating least squares nonnegative matrix factorization algorithm (cALSNMF) to detect active brain regions from single subject's task-related fMRI data. In cALSNMF, we define a new cost function which considers the uncorrelation and noisy problems of fMRI data by adding decorrelation and smoothing constraints in original Euclidean distance cost function. We also generate a novel training procedure by modifying the update rules and combining with optimal brain surgeon (OBS) algorithm. The experimental results on visuomotor task fMRI data show that our cALSNMF fits fMRI data better than original ALSNMF in detecting task-related brain activation from single subject's fMRI data.