• Proceedings of the Safety Management and Science Conference
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• 2013.11a
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• pp.393-400
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• 2013

Globally, smart phones have been rapidly distributed, which has led to changes in people's life cycle. Most people who are under 60 are supposed to use smart phones. Additionally, as the ratio of people who are interested in physical exercise is increasing, some applications for smart phones can manage dividual's exercise with the web servers. However, most of them can only check how much individual works out and cannot compare other's body type and life environment. Moreover, users cannot share their own data with others. This paper proposed the system which can resolve those kinds of problems through data mining techniques. The suggested model will have ability to figure out the relation between body type and the amount of exercise, find out if his work is proper from the result of classification and can pick out the features which is common to people who have similar body type and the amount of workout by applying data mining techiques. This model also will be able to recommend the proper amount of workout to each individual in order that they keep good health state efficiently.

• Journal of the Korea Safety Management & Science
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• v.10 no.4
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• pp.189-198
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• 2008

At present, companies write daily work record or use bar-code in order to collect distribution flow data in real time. However, it needs additional works to check the record or read the bar-code with a scanner. In this case, human error could decrease accuracy of data and it would cause problems in reliability. To solve this problem, RFID (Radio Frequency Identification) is introduced in many automatic recognition sector recently. RFID is a technology that identification data is inserted into micro-mini IC chip and recognize, trace, and manage object, animal, or person using wireless frequency. This is being emerged as the core technology in future ubiquitous environment. This study is intended to suggest RFID application method in franchise business. Traceability and visibility of individual product are supplied based on EPCglobal network. It includes DW system which supplies various assessment data about product in supply chain, financial transaction system which is based on product transaction and position information, and RFID middleware which refines and divides product data from RFID tag. With the suggested application methods, individual product's profile data are supplied in real time and it would boost reliability to customer and make effective cooperation with existing operation systems (SCM, CRM, and e-Business) possible.

• Journal of Korean Academy of Nursing Administration
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• v.15 no.1
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• pp.64-71
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• 2009

Purpose: This study shows the prehospital emergency nursing practices, and analyzes them associated with their individual characteristics and job conditions. Method: Based on a survey of the National Emergency Medical Center in Korea(2008), principal components were extracted from 7 prehospital emergency nursing practices by factor analysis, and some regression analyses of principal components(CPR-AED and V/S-I.V.) were executed on individual characteristics and job conditions. Results: The PENs gave themselves higher order ratings for vital sign check, airway management for loss of consciousness patients, CPR for suspicious cardiac arrest, keeping vein open for shock patients, AED for abnormal pulse rate, AED for suspicious cardiac arrest, and AED for loss of consciousness. Age and duty periods were statistically significant influential factors on the CPR-AED component. Conclusion: The results indicate that the PENs were competent in overall prehospital emergency activities and procedures even some weak self-evaluations, and that the standard curriculum and practice standard for prehospital nursing should be developed in order to increase nursing leadership in prehospital emergency settings.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.05a
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• pp.197-200
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• 2010

The development of service industries like more information on each individual's comments are provided only for wanting to receive services that do not like the prolonged waiting time. However, existing venues, theaters, libraries and seating management systems to suit the individual seating arrangements can not automatically provide information and give everyone the same. In this paper these issues to improve the fit of personal preference or personal inclination of the body in condition to meet intelligently deployed seats, and can provide information only preferred system is proposed. To verify the proposed system's performance using any of the theater seating chart for the experiments was to check to see better performance could be seen.

• Journal of the Optical Society of Korea
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• v.17 no.4
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• pp.328-335
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• 2013

Due to the rapid advancement of auto-refractor technology, most optometry shops provide refraction services. Despite their speed and convenience, the measurement values provided by auto-refractors include a significant degree of error due to psychological and physical factors. Therefore, there is a need for repetitive testing to obtain a smaller mean error value. However, even repetitive testing itself might not be sufficient to ensure accurate measurements. Therefore, research on a method of measurement that can complement auto-refractor measurements and provide confirmation of refraction results needs to be conducted. The customized optometry model described herein can satisfy the above requirements. With existing technologies, using human eye measurement devices to obtain relevant individual optical feature parameters is no longer difficult, and these parameters allow us to construct an optometry model for individual eyeballs. They also allow us to compute visual images produced from the optometry model using the CODE V macro programming language before recognizing the diffraction effects visual images with the neural network algorithm to obtain the accurate refractive diopter. This study attempts to combine the optometry model with the back-propagation neural network and achieve a double check recognition effect by complementing the auto-refractor. Results show that the accuracy achieved was above 98% and that this application could significantly enhance the service quality of refraction.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.7
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• pp.2414-2433
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• 2021

This article focuses on providing remedial solutions for COVID disease through the data collection process. Recently, In India, sudden human losses are happening due to the spread of infectious viruses. All people are not able to differentiate the number of affected people and their locations. Therefore, the proposed method integrates robotic technology for monitoring the health condition of different people. If any individual is affected by infectious disease, then data will be collected and within a short span of time, it will be reported to the control center. Once, the information is collected, then all individuals can access the same using an application platform. The application platform will be developed based on certain parametric values, where the location of each individual will be retained. For precise application development, the parametric values related to the identification process such as sub-interval points and intensity of detection should be established. Therefore, to check the effectiveness of the proposed robotic technology, an online monitoring system is employed where the output is realized using MATLAB. From simulated values, it is observed that the proposed method outperforms the existing method in terms of data quality with an observed percentage of 82.

• Journal of the Korean Society of Food Culture
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• v.38 no.2
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• pp.119-127
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• 2023

The labor environment in Korea has changed and problems related to employment types are treated as important issues. Especially, the ratio of irregular workers has not only increased relatively, but the labor conditions in Korea also have worsened in the current years. Studies have reported an association between temporary workers and the prevalence of diseases. However, there is insufficient research on chronic disease and employment types. Methods: The current study examines the prevalence rate of diseases and health behavior by categorizing employment types among Korean adults. Data were obtained from the 2016-2018 Korea National Health and Nutrition Examination Survey. Totally, the data of 2,366 workers (1,239 regular and 1,127 irregular) were analyzed in the study. The types of employment were classified by a questionnaire querying about working conditions. The results showed that irregular workers earned less than regular workers and had a significantly higher prevalence of diabetes mellitus and hypertension. We propose that if discrimination related to working conditions were relieved, irregular workers would be able to invest more time to exercise and doing check-ups regularly. In addition, individual nutrition consultations considering the knowledge and personal environmental factors of each individual are necessary for the improved health of all workers.

• Journal of Digital Convergence
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• v.10 no.3
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• pp.23-37
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• 2012

Illegal game players' hacking and propagation of malignant code in online game exposes privacy of online game customers. So, online game companies have to support the standardized systems and operations of customers' privacies. Since online game companies implement authentication of information protection, which focuses on assets or physical, systemic security, they need a more professional system that is related to protection of individual privacy. We analyzed the individual information protection system, which includes ISO27001, ISMS of KISA, GMITS, ePrivacy, online game privacy protection guide, and BS10012. Using the suggested systems, we proposed the systemic tools that measure the level of individual information protection, which includes process and check items of each phase.

• Korean Institute of Interior Design Journal
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• v.27 no.1
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• pp.58-67
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• 2018

This study aims to analyze the cases of storage space outside housing unit and propose the activation plan. The issue of storage in residential complex has continued to be reported. This is more salient due to the recent preference trend for small houses, the constant increase of living goods and the limitation of the available space inside housing unit. Although more apartment houses are trying to have individual storage in the exterior space to address these issues, there is still a paucity of the related studies and more studies are required. In this study, we conducted on-site investigation and user interview of each case to propose active usage of the storage space outside housing unit. Result of this study shows that the most crucial factor to improve is 'accessibility' in order to activate the storage space. Storage room should be located close to each household or the individual parking space. The second factor is the size and the structure of the storage room. The sufficient space for keeping and taking large objects out are required. The front of the storage room should have a clogged structure to insure privacy. The third is the provision of suitable support programs such as the system that occupants can check remotely what items are in their storage rooms, garage sale, laundry service, auto cleaning system and rental program. Those programs are required for efficient management and activation of space. Another requirement is to improve environmental factors which include maintenance of optimal temperature and humidity, automatic ventilation system, control of individual lights, and security enhancement. Based on the results of the survey, we provide basic data which can be used for practical space planning to activate exterior storage space of the housing unit. Further surveys are required to develop this study by obtaining more data for generalization.

• Korean Journal of Veterinary Research
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• v.42 no.4
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• pp.485-493
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• 2002

The purpose of this study was to develope a computer program to help with gross diagnosis of protein-energy balance and feeding management practice and with the prediction about the risk possibility of productive disease such as reproductive and metabolic disorders by evaluating fat, protein, and milk urea nitrogen (MUN) from individual cow milk in dairy herd Somatic cell counts also represent the condition of udder health. The principal flow charts of this program was to check on herd management, sampling the composite milk, analysis the milk composition, conversion of data from milking equipment to program, input and analysis of data in program, and report. This program is compatible with window 95/98 system. The major analytical elements of this program were presented as; the profile of herd lactation curve analysis of the test-day milk production level, the distribution of somatic cell count, the fat to protein ratio to evaluate body energy balance, and the interpretation of dietary protein-energy balance by milk protein and MUN contents for individual cows. This program using milk fat, protein, MUN, and somatic cell counts will serve as a monitoring tool for the protein-energy balance and the feeding management practice, and for distribution of mastitis in individual cows. It will also be used to manage the nutritional and reproductive disorders and mastitis at the farm level.