• Journal of IKEEE
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• v.23 no.2
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• pp.743-746
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• 2019

In this paper we proposed a new ocean radiation automatic monitoring system. The proposed system has the following characteristics: First, using NaI + PVT mixed detectors, the response speed is fast and precision analysis is possible. Second, the application of temperature compensation algorithm to scintillator-type sensors does not require additional cooling devices and enables stable operation in the changing ocean environment. Third, since cooling system is not needed, electricity consumption is low, and electricity can be supplied reliably by utilizing solar energy, which can be installed at the observation deck of ocean environment. Fourth, using GPS and wireless communications, accurate location information and real-time data transmission function for measurement areas enables immediate warning response in the event of nuclear accidents such as those involving neighboring countries. The results tested by the authorized testing agency to assess the performance of the proposed system were measured in the range of $5{\mu}Sv/h$ to 15mSv/h, which is the highest level in the world, and the accuracy was determined to be ${\pm}8.1%$, making normal operation below the international standard ${\pm}15%$. The internal environmental grade (waterproof) was achieved, and the rate of variation was measured within 5% at operating temperature of $-20^{\circ}C$ to $50^{\circ}C$ and stability was verified. Since the measured value change rate was measured within 10% after the vibration test, it was confirmed that there will be no change in the measured value due to vibration in the ocean environment caused by waves.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.215-217
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• 2014

A system architecture design relying only on the experience of its designer varies in quality in line with the designer's personal experience and knowledge ability. Likewise, a wrong estimation of hardware capacity ends up in waste of resources. In practice, a range of post-hoc monitoring tools are in operation, without providing any method for estimating and reflecting the performance at an early stage of architecture design. Provided capacity requirement is estimated in advance with simulation at the stage of design, the system capacity ends up in waste of resources. In practice, a range of post-hoc monitoring tools are in operation, without providing any method for estimating and reflecting the performance at an early stage of architecture design. Provided capacity requirement is estimated in advance with simulation at the stage of design, the system performance requirement can be met with a minimal cost while the waste of resources can be reduced to a great extent. In this context, the present study develops a pilot simulation model for hardware architecture design and then verifies its validity in an experiment. If the error rate falls within a permissible range in the experiment, the simulation model may be considered to reflect well the characteristics of real-life information system architecture.

• The Korean Journal of Applied Statistics
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• v.32 no.1
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• pp.161-171
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• 2019

Varied methods have been researched continuously because the past as the daily maximum electricity demand expectation has been a crucial task in the nation's electrical supply and demand. Forecasting the daily peak electricity demand accurately can prepare the daily operating program about the generating unit, and contribute the reduction of the consumption of the unnecessary energy source through efficient operating facilities. This method also has the advantage that can prepare anticipatively in the reserve margin reduced problem due to the power consumption superabundant by heating and air conditioning that can estimate the daily peak load. This paper researched a model that can forecast the next day's daily peak load when considering the influence of temperature and weekday, weekend, and holidays in the Seasonal ARIMA, TBATS, Seasonal Reg-ARIMA, and NNETAR model. The results of the forecasting performance test on the model of this paper for a Seasonal Reg-ARIMA model and NNETAR model that can consider the day of the week, and temperature showed better forecasting performance than a model that cannot consider these factors. The forecasting performance of the NNETAR model that utilized the artificial neural network was most outstanding.

• Journal of Internet of Things and Convergence
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• v.8 no.6
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• pp.115-122
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• 2022

Recently, the importance of CPR training for the layperson has been emphasized to improve the survival rate of out-of-hospital cardiac arrest patients. An accurate and realistic training strategy is required for the CPR training effect for laypersons. In this study, we develop an extended reality (XR) based CPR training system and evaluate its usability. The XR based CPR training system consisted of three applications. First, a 3D heart anatomy image registered to the manikin is transmitted to the smart glasses to guide the chest compression point. The second application provides visual and auditory information about the CPR process through smart glasses. At the same time, the smartwatch sends a vibration notification to guide the compression rate. The 'Add-on-kit' is a device that detects the depth and speed of chest compression via sensors installed on the manikin and sends immediate feedback to the smartphone. One hundred laypersons who participated in this study agreed that the XR based CPR training system has realism and effectiveness. XR based registration technology will contribute to improving the efficiency of CPR training by enhancing realism, immersion, and self-directed learning.

• Journal of the Korea Convergence Society
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• v.12 no.3
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• pp.389-399
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• 2021

This study is the quasi-experimental research of nonequivalent groups and is designed to investigate the effects of an aquatic exercise program with diabetes self management education on the self care efficacy, self care behaviors in diabetic patients in community. The subjects of this study were 26 patients in the experimental group who participated in the aquatic exercise program and 25 patients in the control group who did not paricipated in. And they were registered at the W Health Clinic in D city. The aquatic exercise program was conducted twice a week for 80 minutes, and consisted of a 30 minutes diabetes self management education and a 50 minutes aquatic exercise. After this program, there were significant differences in FBS(p=.047), HbA1c(p<.001), diabetes self efficacy(p<.001), and self care behaviors(p<.001). In order to reduce the prevalence of diabetes and prevent complications in the community, it is believed that the constant operation of aquatic exercise programs including self management education is necessary.

• Journal of the Economic Geographical Society of Korea
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• v.23 no.4
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• pp.425-437
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• 2020

In Korea, the proportion of self-employed and unpaid family workers is relatively higher than other OECD countries and the operation periods of their businesses are generally shorter than others. This indicates frequent startups and closures and thus unstable employment status and income, which inevitably generates huge social costs. Restaurants are a representative business that self-employed workers easily enter and their 5-year survival rate is found to be lower than 20%. This is shorter survival period than other business sectors. This study aims to examine the associations of transport accessibility with restaurants' survival in Gwangju metropolitan area. Convenient location has been known to be a crucial factor for sales improvements and longer operation and such location is closely linked with good transport accessibility. Results from survival analysis on empirical data show that better access to road networks is significantly associated with longer survival of restaurants though subway accessibility is not. This can be explained by low modal share of subway in the study area and at the same time, requires further case studies where more developed and matured subway systems are in operation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.6
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• pp.127-139
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• 2021

This study investigates business demands for firms operating in the Busan Sasang Industrial Area for the proposed knowledge-industry innovation base. Diverse improvement arrangements are proposed for revitalization of the industrial area. For these purposes, a questionnaire survey was conducted for the examination of physical conditions and enterprise demands among firms. The major findings are as follows. Firstly, judging from the examination of physical conditions, the study area has presented a lower rate of roads and smaller individual lots of land, which would contribute to a worsening business environment for small business owners. Secondly, business request for industrial-area innovation, pilot project needs, and expected impacts demonstrated higher scores. Thirdly, an absolute majority of firms strongly supported the proposed knowledge-industry innovation base and requested an R&D center as the first anchor facility. Based on these findings, guidelines are proposed for an institutional rearrangement plan. First of all, specific field surveys dealing with networking issues and industrial dominance should be immediately carried out. In addition, the proposed knowledge-industry innovation base should be equipped with significant power of influence for the adjacent industrial areas. Lastly, major stakeholders should upgrade the cooperative mechanism for innovative change in the regional industrial complex.

• Journal of the Korea Convergence Society
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• v.13 no.2
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• pp.67-75
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• 2022

The purpose of this study is to present an appropriate management plan as a supplement to the scientific evidence of the currently operated distancing system for preventing COVID-19. The currently being used mathematical models are expressed as simultaneous ordinary differential equations, there is a problem in that it is difficult to use them for the management of entry and exit of small business owners. In order to supplement this point, in this paper, a method for quantitatively expressing the risk of infection by people who gather is presented in consideration of the allowable risk given to the gathering space, the basic infection reproduction index, and the risk reduction rate due to vaccination. A simple quantitative model was developed that manages the probability of infection in a probabilistic level according to a set of visitors by considering both the degree of infection risk according to the vaccination status (non-vaccinated, primary inoculation, and complete vaccination) and the epidemic status of the virus. In a given example using the model, the risk was reduced to 55% when 20% of non-vaccinated people were converted to full vaccination. It was suggested that management in terms of quarantine can obtain a greater effect than medical treatment. Based on this, a generalized model that can be applied to various situations in consideration of the type of vaccination and the degree of occurrence of confirmed cases was also presented. This model can be used to manage the total risk of people gathered at a certain space in a real time, by calculating individual risk according to the type of vaccine, the degree of inoculation, and the lapse of time after inoculation.

• Journal of Appropriate Technology
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• v.7 no.1
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• pp.72-81
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• 2021

Gravity-driven membrane (GDM) filtration system based on the nanofiber membrane was investigated. This system can be operated with little energy demand due to a gravitational pressure-driven filtration and biological fouling control strategy. Moreover, the optimal module configuration based on the high permeance of nanofiber membrane can provide a significantly high water productivity. In order to evaluate its applicability potential, the pilot-scale (3000-5000 L/day) systems with nanofiber membranes were operated in developing countries (Kiribati and Tuvalu). Our results showed that the 14-92 L/(m²×h) of the permeate flux was determined indicating a stabilized water productivity. In addition, the permeate water indicated a high removal rate (more than 99.99%) of turbidity and bacteria. Consequently, the system can provide a stabilized water production with safe permeate water quality during long-term operation. These findings exemplify an effective approach to decentralized drinking water treatment for developing countries.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.4
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• pp.771-782
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• 2021

Regular or irregular situations such as traffic accidents, damage to road facilities, maintenance or repair work, and vehicle breakdowns occur frequently on highways. It is required to provide traffic services to drivers by promptly recognizing these regular or irregular situations, various techniques have been developed for rapidly collecting data and detecting abnormal traffic conditions to solve the problem. We propose a method that can be used for verification and demonstration of unexpected situation algorithms by establishing a system and developing algorithms for detecting unexpected situations on highways. For the detection of emergencies on expressways, a system was established by defining the expressway contingency and algorithm development, and a test bed was operated to suggest a method that can be used for verification and demonstration of contingency algorithms. In this study, a system was established by defining the unexpected situation and developing an algorithm to detect the unexpected situation on the highway, and a method that can be used verifying and demonstrating unexpected situations. It is expected to secure golden time for the injured by reducing the effectiveness of secondary accidents. Also predictable accidents can be reduced in case of unexpected situations and the detection time of unpredictable accidents.