• Korea Journal of Hospital Management
• /
• v.15 no.2
• /
• pp.1-14
• /
• 2010

This study tried to analyze about the investment effects on the spent capital and possessed tangible assets of some hospitals during their hospital management. For this analysis purpose, this study used the financial data of 100 hospitals which presented their financial statements to an finance-information company from 2004 to 2006. The analysis was done with PEFR(Percentage of External Funds Required) and Tangible Asset. The FEPR considered the retained interior fund relating to the investment types in the hospital industry. And the Tangible Asset was related to the possession condition of facilities and equipment. The EBIT rate(Earnings before interest and tax to sales) meaning the management performance and tangible asset turnover were used as the measured variables of investment effect. As the result of data analysis, it was identified that the tangible asset like the hospitals's facilities and equipment was not an agent significantly to influence on the management performance(EBIT rate), the eventual goal of hospital management. But, it was identified that there was some differences tangible asset turnover according to each hospital's main characteristics. And at targeting the all sample hospitals, it was found that the management performance(EBIT rate) had some significant effect on the retained earnings rate, a part of source of PEFR.

• Korean Journal of Occupational Health Nursing
• /
• v.24 no.3
• /
• pp.214-223
• /
• 2015

Purpose: This study was conducted to provide basic data for development of health care programs for cleaners working in hospitals by analyzing job-related injuries among them and related factors. Methods: The study surveyed cleaners working in 6 general hospitals in D metropolitan city. The questionnaire was structurally designed to include items about job-related injuries, working conditions, health related characteristics. For the analysis of the collected data, the SPSS/WIN 21.0 software was used, and t-test, ANOVA, correlation analysis, and regression analysis were conducted. Results: Factors that affect health damages were gender and income levels. Inadequate safety facilities and equipment, noise, and income levels were found to be the factors affecting accident injuries. Conclusion: In order to reduce the job-related injuries, efforts need to be made to improve working conditions to deal with inadequate safety facilities and equipment and control noise. To fulfill this need, not only employers of cleaners but also hospitals in which they work should make efforts to educate those cleaners who have little knowledge of health and medical care, and improve their working conditions.

• Journal of the Korean Institute of Gas
• /
• v.11 no.4
• /
• pp.98-103
• /
• 2007

Likelihood analysis was used for the revision of release probability/frequency in chlorine Injection facilities used in chlorine process. Typically these facilities consist of pressure cylinder, vaporizer, pipeline, measuring equipment and safety equipment. This paper described the incident scenarios considered, likelihood analysis procedure and the selection and application of basic events and for failure rates of mechanical components. Human errors were also considered. The major objective of this paper is to estimate the likelihood of each determined incident scenarios. We estimated failure rates of mechanical components based on likelihood analysis procedure. Human errors were also considered. It was estimated to have $5.73{\times}10^{-5}$ $Cl_2$ leak per year during the major $Cl_2$ handling process. The probability of failure in scrubber system was$4.11{\times}10^{-2}$/demand.

• Journal of the Korean Dietetic Association
• /
• v.18 no.4
• /
• pp.308-325
• /
• 2012

This research aimed to survey foodservice hygiene management practices performed by principals and teachers as well as examine foodservice employees' hygiene knowledge in kindergartens. Surveys were administered to principals, teachers, and foodservice employees at 392 kindergartens. The total average score of six categories was 4.28 out of 5.0. Average score of the production process management category was the lowest at 3.90 while safety management was the highest at 4.69. Other average scores were as follows: facilities and equipment 4.20, personal hygiene 4.14, food ingredient control 4.35, and environmental sanitation 4.39. Teachers' foodservice hygiene management practices scored 3.8 points out of 5 on average. Hygiene knowledge of foodservice employees was also tested. The mean score of foodservice hygiene knowledge was 76.29%. The lowest scoring category was personal hygiene, suggesting that foodservice employees require more knowledge on proper personal hygiene practices. Possession rates of dish sterilizer, ultraviolet sterilizer, and hand washing facilities in the kitchen were low. These equipment installation rates should be raised accordingly. To enhance control of foodservice hygiene, kindergarten management should pay more attention to education and training related to foodservice sanitation.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.43 no.2
• /
• pp.137-145
• /
• 2020

Various elements of Fabrication (FAB), mass production of existing products, new product development and process improvement evaluation might increase the complexity of production process when products are produced at the same time. As a result, complex production operation makes it difficult to predict production capacity of facilities. In this environment, production forecasting is the basic information used for production plan, preventive maintenance, yield management, and new product development. In this paper, we tried to develop a multiple linear regression analysis model in order to improve the existing production capacity forecasting method, which is to estimate production capacity by using a simple trend analysis during short time periods. Specifically, we defined overall equipment effectiveness of facility as a performance measure to represent production capacity. Then, we considered the production capacities of interrelated facilities in the FAB production process during past several weeks as independent regression variables in order to reflect the impact of facility maintenance cycles and production sequences. By applying variable selection methods and selecting only some significant variables, we developed a multiple linear regression forecasting model. Through a numerical experiment, we showed the superiority of the proposed method by obtaining the mean residual error of 3.98%, and improving the previous one by 7.9%.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
• /
• v.19 no.5
• /
• pp.103-108
• /
• 2005

In this article, it has been shown that penises devices such as illumination facilities, heating/cooling systems and security equipment can be controlled even outside premises using UPnP (Universal Plug and Play) applicable to the Internet or cellular phone services. To load UPnP protocol into each device, current manufacturers will be required to port flexible OS (Operating System), that is, Windows or Linux to these premises devices. Furthermore, prospective users want to experience a variety of specific functions based on more standardized and stable network. This study aims to provide application by implementing these functions on the Linux system.

• Nuclear Engineering and Technology
• /
• v.52 no.5
• /
• pp.956-963
• /
• 2020

Dose optimization for Radioactive Occupational Personal (ROP) is an important subject in nuclear and radiation safety field. The geometric environment of a nuclear facility is complex and the work area is radioactive, so traditional navigation model and radioactive data field cannot form an effective environment model for dose assessment and dose optimization. The environment model directly affects dose assessment and indirectly affects dose optimization, this is an urgent problem needed to be solved. Therefore, this paper focuses on an environment model used for Dose Assessment and Dose Optimization (DA&DO). We designed a multi-layer radiation field coupling modeling method, and then explored the influence of the environment model to DA&DO by virtual simulation. Then, a simulation test is done, the multi-layer radiation field coupling model for nuclear facilities is demonstrated to be effective for dose assessment and dose optimization through the experiments and analysis.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.17 no.1
• /
• pp.35-44
• /
• 2021

With the development of information technology, the cybersecurity threat continues as digital-related technologies are applied to the instrumentation and control system of nuclear power plants. The malfunction of the instrumentation and control system can cause economic damage due to shutdown, and furthermore, it can lead to national disasters such as radioactive emissions, so countering cybersecurity threats is an important issue. In general, the study of cybersecurity in instrumentation and control systems is concentrated on safety systems, and diverse protection systems perform protection and reactor shutdown functions, leading to reactor shutdown or, in the worst case, non-stop situations. To accurately analyze cyber threats in the diverse protection system, its linked facilities should be analyzed together. Risk analysis should be conducted by analyzing the potential impact of inter-facility cyberattacks on related facilities and the impact of cybersecurity on each configuration module of the diverse protection system. In this paper, we analyze the linkage of the diverse protection system and discuss the cybersecurity linkage threat by analyzing the availability of equipment, the cyber threat impact of the linked equipment, and the configuration module's cybersecurity vulnerability.

• New & Renewable Energy
• /
• v.17 no.3
• /
• pp.16-23
• /
• 2021

Recently, the Korean government announced a plan to activate renewable energies, with focus on clean energy sources such as solar and wind power as the core and the goal of achieving carbon neutrality by 2050. Unlike other photovoltaic (PV) systems, offshore PV installations are advantageous for large-scale expansion because of the ease of securing sites; they also enable lowering the power generation costs based on construction of large-scale power facilities of megawatt class or higher owing to low noise and landscape damage. However, any power generation should proceed with consideration of the special environmental conditions of the ocean. Above all, when installing large-scale facilities, it is important to reduce fluctuations of the structure and secure stability to actively respond to waves. This study is concerned with the development of a floating body technology that actively responds to waves so as to enable commercialization of offshore solar power. A unit platform for research and development on offshore PV generation was installed in the Saemangeum sea, and the structural fluctuations and stability were analyzed to ensure conformity with the major performance indicators.

• Coupled systems mechanics
• /
• v.11 no.2
• /
• pp.121-132
• /
• 2022

Wastewater treatment plants (WWTPs) are designed and built to remove contaminants from wastewater. WWTPs are composed of various facilities equipped with hydro-mechanical and electrical equipment. This paper presents a comparison of two different approaches for WWTPs modelling. Static modelling is suitable for determining the dimensions of facilities and equipment capacity. The special significance of this approach is for the design of new plants, i.e., when a very small number of input data on the quantities and composition of the influent wastewater is available. Dynamic modelling is expensive, time consuming and requires great expertise in the use of simulators, models and very good understanding of the treatment processes. Also, dynamic modelling is very important to use for optimization, consideration of future scenarios and also possible scenarios on the plant. The comparison of two approaches was made on the input data from the biggest and most important plant in Bosnia and Herzegovina (B&H)-WWTP Butila (Sarajevo). The main idea is to show the differences between two demanding accesses. It is important to know how to apply an adequate approach to research and solve the set task. The II phase of the plant Butila, which includes the removal of nutrients, is planned in several years and therefore the importance of research has increased.