• Journal of Information Technology Applications and Management
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• v.20 no.1
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• pp.43-51
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• 2013

Human being does work to live out and they have their private life because human has sociality. Both work and life are important to live out but they are on the trade-off relationship. Because keeping the balance between work and life is too hard, it has been interested by academic and practical areas. Definition of Work-life balance here is that balance or imbalance arising between work and life has no negative impact on their daily life. Above all, Work-life balance is important because it is strongly related to identity. Recently, the introduction of the mobile office system has emerged as a way to solve the problem of work-life balance. It is based on the teleworking which was formerly generated. Teleworking is to perform the work in the employee's home or office space set aside without going into the workplace. Concept of the mobile office system here is not only using portable devices during work for convenience but also the system which is designed for the performance. Thanks to the diffusion of smart devices(smart phone, tablet pc), mobile office system has been spread. Although the importance of mobile office systems is emerging, there are few researches about it. Even they mostly focus on the standpoint of performance of mobile office system. However, Quality of life is as important as the performance. As a part of Quality of Life field, Work-life balance is the closest to employee's quality of life. So this study aims to examine the effect of the use of mobile office systems on work-life balance. To do so, we try to find factors effecting Work-life balance from existing studies and then set a research model. We set the use of mobile office systems as independent variables which are divided by use of function, use by location and use by situation. There are four dependent variables - sense of self command, sense of balance, solving work problem, solving life problem. We collected data from employees who are using mobile office systems on their job. 215 people were participated in the survey and we used multiple regression analysis to verify our research model. Results show that every independent variable has no impact on solving work problem while they have slight impact on the other dependent variables. Especially use on the business trip has significant effect on dependent variables. It means that there is a possibility use of mobile office system could control the employee's quality of life and system should be evolved until it covers even critical tasks. Also, support for mobile office system -education, encouragement-should be provided. By mobile office system is maturing, future research would be done.

• Journal of Energy Engineering
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• v.8 no.4
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• pp.605-611
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• 1999

Conventional methods for assessing remaining life of critical high temperature components in fossil power plants rely on nondestructive inspection practices and accompanying life analysis based on fracture mechanics By using these conventional methods. It has been difficult to perform uninterrupted in-service inspection for life prediction. Thus, efforts have been made for developing on-line remaining life monitoring systems employing information on the shape of structures, operating variables and material properties. In thus study, a software for on-line life monitoring system which performs real-time life evaluation of a high temperature system headers was developed. The software is capable of evaluating creep and fatigue life usage from the real-time stress data calculated by using temperatures/stress transfer Green functions derived in advance for the specific headers. The major benefits of the developed software life in determining future operating schedule, inspection interval, and replacement plan by monitoring real-time life usage based on prior operating history.

• Journal of Korean Academy of Nursing Administration
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• v.8 no.2
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• pp.295-308
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• 2002

Purpose: The purpose of this quasi-experimental research is to develop the CP for primary THR patients and verify its effectiveness. Method: The CP is designed for both patients and medical employees to meet the 14-day-long hospitalization with an expert and clinical validity test, and the standardized orders are also created. 21 eligible subjects for the control group(with common care plan) and 27 subjects for the experimental group(with CP service) were assigned. Data were collected from questionnaires to evaluate patients' satisfaction level of nursing care and CP, investigation of physical complications, inspection of LOS(length of hospital stay) and hospital charges from April 2000 to February 2001 at K-hospital in Daegu. The collected data were analyzed by using the SAS program. Results: After implementation of CP, there was a statistically significant reduction in mean length of stay. The hospital charges have no considerable difference between two groups. Frequency of physical complications is reduced considerably. The experimental group scored much higher than the control group on the satisfaction level toward nursing care. And in the analysis of CP satisfaction questionnaires, many subjects have high satisfaction in items of 'I see the treatment process and hospital life', 'I feel that I am participating in my treatment process with health care staff'. The analysis of variances which cause a prolonged LOS supports that it's necessary to strengthen an evaluation of pre-operative outpatients' condition and link the home nursing care system in discharge for more shortening of LOS. Conclusion: The above results show that CP can have a positive impact on satisfaction level of inpatients with primary THR and the hospital.

• Journal of Digital Convergence
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• v.12 no.7
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• pp.379-387
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• 2014

This study aimed to explore the effects of married female immigrants' consciousness of later life and social and leisure activities on their preparation perception for their later life. We used data from 355 married female immigrants, residing in or nearby, Choongchungnam-do, Korea in 2013. Regressional analysis and SPSS 18.0 were conducted to prove the hypotheses. Consistent with previous studies, the findings of this study indicate that having more activities on leisure and social life and more planning on later life constitute critical factors for higher emotional, physical, and economical preparation perception for later life. Here we discussed strategies in planning social welfare policy for married female immigrants by providing basic information.

• The Journal of the Korea Contents Association
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• v.18 no.1
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• pp.210-221
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• 2018

The purpose of this study was to analyze how much demographic and disability-related characteristics influence the quality of life that employed and unemployed disabled people, and determine difference in the influence of those factors between the two disabled groups. For this purpose, the study utilized 1st-year(2016) data from the 2nd wave of the Korean Panel Study on Employment for the Disabled. The findings of this study can be summarized as follows. First, employment is a critical factor that influences the disabled's quality of life. Besides, there are some financial, socio-relational and physical factors on which that quality is heavily dependent. Second, employed disabled people's quality of life is even more influenced by financial factors, socio-relational factors and health state than demographic factors. Third, unemployed disabled people's quality of life is significantly influenced by some demographic factors like gender and age and some physical factors like disability grade and disability period as well as by factors found influencing employed disabled people's quality of life. Thus, the two disabled groups are different from each other in which factors influence their quality of life. Based on these findings, this study made suggestions for the disabled's better quality of life.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.30 no.5 s.248
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• pp.520-527
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• 2006

The design of major industrial facilities for the prevention of fatigue failure is customarily done by defining a set of transients and performing a calculation of cumulative usage factor. However, sometimes, the inherent conservatism or lack of details as well as unanticipated transients in old plant may cause maintenance problems. Even though several famous on-line monitoring and diagnosis systems have been developed world-widely, in this paper, a new system fur fatigue monitoring and life evaluation of crane is proposed to reduce customizing effort and purchasing cost. With regard to the system, at first, comprehensive operating transient data has been acquired at critical locations of crane. The real-time data were classified, by using adaptive resonance theory that is one of typical artificial neural network, into representative stress groups. Then the each classified stress pattern was mapped to calculated cumulative usage factor in accordance with ASME procedure. Thereby, promising results were obtained fur the crane and it is believed that the developed system can be applicable to other major facilities extensively.

• Journal of Korean Society of Rural Planning
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• v.24 no.2
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• pp.79-89
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• 2018

The main purpose of this study is to explore the factors that affect the transformation of over-depopulated rural villages. Specifically, we investigated the reasons of the rapid decrease in the number of over-populated rural villages shown by recent census data in spite of the continuing decrease of population in rural area. We used a binary-logit model and the Census of Agriculture, Forestry and Fisheries data(2010, 2015). The main results are summarized as followed: First, the over-depopulated rural villages with strong agronomic base are more likely to exit from over-depopulation. Second, returners from urban to rural have a positive impacts on the revival of over-depopulated rural areas. Thirds, improving the basic services accessibility of rural residents is also critical for keeping rural community more sustainable. These findings can be used to make effective strategies to revive the depopulated rural villages.

• Journal of muscle and joint health
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• v.26 no.2
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• pp.90-101
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• 2019

Purpose: This study was aimed to describe older adults' experiences of living with urinary incontinence and using diapers for its management in long-term care facilities. Methods: Qualitative data were collected through in-depth interviews with 22 participants in long-term care facilities. Content analysis was used to analyze the data. Results: Three themes and six categories were emerged. Participants navigated through those three categories as stages, including the initial stage of confronting the unacceptable reality, transitional stage of physical and emotional suffering, and adaptive stage of accepting the diaper usage as a part of life and hoping improvement. Six categories were feeling terrible with unavoidable use of diapers, being frustrated by nursing staff shortage and unsatisfactory care for urinary incontinence, physical discomfort from of wearing diapers and remaining unchanged, emotional difficulties due to using diapers, accepting and adapting to diaper usage as a part of life, hope for gender-specific quality care for urinary incontinence. Conclusion: The findings suggest that using diapers should not be mandatory to manage older adults' urinary incontinence in long-term care facilities. It is also critical to establish policies to address issues of nursing shortage and financial support for qualitative care to manage urinary incontinence in long-term care settings.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.225-234
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• 2021

This research aimed to investigate the key factors affecting student satisfaction and loyalty in selected private universities in Cambodia. The study implemented a quantitative survey designed and guided by seven hypotheses to test the causal relationships among variables, such as academic experience, faculty services, campus life, social integration, student support facilities, student satisfaction, university image, and student loyalty. The research applied a multi-stage sampling technique of probability procedures to guarantee the presence of the research population. Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) were applied for data analysis to test the hypotheses model. The collected survey totaled 543 from three universities. The purposive sampling methods were used to select the three target universities, based on their reputation, the number of students, year of establishment, and the recognition from the Ministry of Education, Youth, and Sport. The stratified random sampling method was employed to select target respondents for data collection by dividing the population into subgroups to ensure a random sample. The results showed that student support facilities, campus life, and social integration, faculty services, and university image play very important roles in the satisfaction and loyalty of the students in three universities.

• Journal of Korea Artificial Intelligence Association
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• v.2 no.1
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• pp.7-14
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• 2024

In this paper, we explore the application of RNA-sequencing data and ensemble machine learning to predict lung cancer and treatment strategies for lung cancer, a leading cause of cancer mortality worldwide. The research utilizes Random Forest, XGBoost, and LightGBM models to analyze gene expression profiles from extensive datasets, aiming to enhance predictive accuracy for lung cancer prognosis. The methodology focuses on preprocessing RNA-seq data to standardize expression levels across samples and applying ensemble algorithms to maximize prediction stability and reduce model overfitting. Key findings indicate that ensemble models, especially XGBoost, substantially outperform traditional predictive models. Significant genetic markers such as ADGRF5 is identified as crucial for predicting lung cancer outcomes. In conclusion, ensemble learning using RNA-seq data proves highly effective in predicting lung cancer, suggesting a potential shift towards more precise and personalized treatment approaches. The results advocate for further integration of molecular and clinical data to refine diagnostic models and improve clinical outcomes, underscoring the critical role of advanced molecular diagnostics in enhancing patient survival rates and quality of life. This study lays the groundwork for future research in the application of RNA-sequencing data and ensemble machine learning techniques in clinical settings.