• Journal of the Health Care and Life Science
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• v.8 no.2
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• pp.83-93
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• 2020

In this study, a practical model for health information management education using the EMR education system at universities for nurturing health care information managers was studied. Currently, there is no practical training course for health care information management in the standards for evaluation and certification of health care information management education introduced to strengthen the job competency of health care information managers. Accordingly, the program was constructed so that the practice program suggested as an educational environment in the Health and Medical Information Management Education Evaluation and Certification Manual can be practiced in the EMR education system. In addition, a practical model that can be performed according to the on-site practice guidelines for health and medical information management for each program was studied. Using the health care information management education EMR system, master data management, patient registration, doctor prescription, medical cost calculation, health insurance claim management, form management, discharge registration, cancer registration, unrecorded management, health care data management, health care statistics, A practice model was studied so that practice on information protection/security management can be performed. It will be possible to play a role as a health care information management expert by raising the quality level of health care information management education through systematic and standardized health care information management practice courses at universities. Accordingly, it is necessary to cultivate health care information management experts who develop and manage medical services based on medical data analysis through practical training of health care information managers.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.701-715
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• 2021

The drastic advance of recent deep learning technologies is heavily dependent on training datasets which are essential to train models by themselves with less human efforts. In comparison with the work to design deep learning models, preparing datasets is a long haul; at the moment, in the domain of vision intelligent, datasets are still being made by handwork requiring a lot of time and efforts, where workers need to directly make labels on each image usually with GUI-based labeling tools. In this paper, we overview the current status of vision datasets focusing on what datasets are being shared and how they are prepared with various labeling tools. Particularly, in order to relieve the repetitive and tiring labeling work, we present an interactive smart image annotating system with which the annotation work can be transformed from the direct human-only manual labeling to a correction-after-checking by means of a support of automatic labeling. In an experiment, we show that automatic labeling can greatly improve the productivity of datasets especially reducing time and efforts to specify regions of objects found in images. Finally, we discuss critical issues that we faced in the experiment to our annotation system and describe future work to raise the productivity of image datasets creation for accelerating AI technology.

• Journal of Korean Tunnelling and Underground Space Association
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• v.23 no.6
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• pp.549-558
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• 2021

In order to keep infrastructures such as tunnels and underground facilities safe, cracks of concrete lining in tunnel should be detected by regular inspections. Since regular inspections are accomplished through manual efforts using maintenance lift vehicles, it brings about traffic jam, exposes works to dangerous circumstances, and deteriorates consistency of crack inspection data. This study aims to provide methodology to automatically extract cracks from tunnel concrete lining images generated by the existing tunnel image acquisition system. Specifically, we train a deep learning based semantic segmentation model with open dataset, and evaluate its performance with the dataset from the existing tunnel image acquisition system. In particular, we compare the model performance in case of using all of a public dataset, subset of the public dataset which are related to tunnel surfaces, and the tunnel-related subset with negative examples. As a result, the model trained using the tunnel-related subset with negative examples reached the best performance. In the future, we expect that this research can be used for planning efficient model training strategy for crack detection.

• Journal of the Korean Society of Earth Science Education
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• v.15 no.3
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• pp.373-390
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• 2022

Science museums are platforms of PUS (public understanding of science). The purpose of this study was to explore the science communicators' competencies critical in interacting with visitors from the comparison of their training and professional development programs nationally and internationally. The managers running science communicators' programs and communicators themselves from six different national science museums and those from five different international ones participated in the structured survey. The data from surveys were compared among respondents to draw common and specific descriptions for communicators' competencies. In addition, the experienced exemplary science communicator, Ms. Park, participated in this study and the data from her observation field notes, her own developed science communicators' manual, and interviews were used to support the result. The contextual model of learning in science museums (Falk, 2006) was used to illustrate science communicators' expertise. National managers and science communicators showed difference in their perception about science communicators' roles, difficulties, and improvement for their competencies. Internationally, the managers and science communicators showed similar perception about communicators' competencies in terms of the contextual model of learning. It is highly suggested that practice-based science communicators' training and professional development programs must be offered on the basis of interaction between experienced and novice communicators as mentors and mentees systems.

• Journal of the Society of Disaster Information
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• v.17 no.4
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• pp.710-721
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• 2021

Purpose: The purpose of this study is to prepare an environment that can provide high-quality 119 rescue services by analyzing the causes of casualties at the water rescue and suggesting improvement plans to prevent them. Method: 5 major cases were analyzed among firefighters' casualty accidents during rescue activities related to the water over the past 10 years for case study. And the causes of the accidents were analyzed in terms of 4 values (Man, Machine, Media, Management) through the 4M analysis technique. Result: ① man: the main causes are lack of awareness of on-site safety, etc ② machine: the problem of the absence of the equipment itself, etc ③ media: the lack of information on the rescue site and the poor rescue environment conditions, ④ management : the main causes were the absence and inadequacy of the response manual for each rescue site, Conclusion: ① man: knowledge of SOP and reinforcement of education and training, etc. ② machine: there are measures such as the introduction of equipment suitable for the changing rescue site, ③media: providing sufficient information about the rescue activity environment and conducting regular road training, ④ management: policy suggestions such as establishment and dissemination of on-site safety management plans and manuals were derived.

• Journal of the Korean Association of Geographic Information Studies
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• v.26 no.3
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• pp.37-51
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• 2023

Spatial information is essential for interpreting urban phenomena. Methodologies for spatializing urban information, especially when it lacks location details, have been consistently developed. Typical methods include Geocoding using structured address information or place names, spatial integration with existing geospatial data, and manual tasks utilizing reference data. However, a vast number of documents produced by administrative agencies have not been deeply dealt with due to their unstructured nature, even when there's demand for spatialization. This research utilizes the natural language processing model BERT to spatialize public documents related to urban planning. It focuses on extracting sentence elements containing addresses from documents and converting them into structured data. The study used 18 years of urban planning public announcement documents as training data to train the BERT model and enhanced its performance by manually adjusting its hyperparameters. After training, the test results showed accuracy rates of 96.6% for classifying urban planning facilities, 98.5% for address recognition, and 93.1% for address cleaning. When mapping the result data on GIS, it was possible to effectively display the change history related to specific urban planning facilities. This research provides a deep understanding of the spatial context of urban planning documents, and it is hoped that through this, stakeholders can make more effective decisions.

• Journal of the HCI Society of Korea
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• v.2 no.2
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• pp.53-59
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• 2007

Several researches in 3D interaction have identified and extensively studied the four basic interaction tasks for 3D/VE applications, namely, navigation, selection, manipulation and system control. These interaction schemes in the real world or VE are generally suitable for interacting with small graspable objects. In some applications, it is important to duplicate real world behavior. For example, a training system for a manual assembly task and usability verification system benefits from a realistic system for object grasping and manipulation. However, it is not appropriate to instantly apply these interaction technologies to such applications, because the quality of simulated grasping and manipulation has been limited. Therefore, we introduce the intuitive and natural 3D interaction haptic interface supporting high-precision hand operations and realistic haptic feedback.

• The Journal of Korean Society for School & Community Health Education
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• v.8 no.1
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• pp.13-27
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• 2007

The role of school as a key setting for health promotion practices should be empathized. However, there were limitations for the effectiveness of school health promotion practices in Korea because of the lack of recognition about its importance, social support, guiding principles of the school health promotion services by the school health related law, and cooperation between school and community. The purpose of this study was to analyse the advanced cases from The United States, Japan, Europe and Australia, and to evaluate the applicability to school health promotion services in Korea for establishing the strategy for effective implementation of school health promotion program in Korea. Four cases of school health program were selected for analysis, including Coordinated School Health Program and National School Health Strategies in the USA, Healthy Japan21, National School Health Initiative in Australia and the European Network of Health Promoting Schools. Major conclusions were as follows: 1. Advanced cases of school health programs were comprehensive in nature. 2. Integrated school and community health promotion efforts was emphasized. mostly. 3. Governmental agencies played an active role in conducting surveillance activities to monitor priority health risk behaviors, developing school health program and training manual, providing periodic program evaluation. 4. Life skill focused health education was the key component for the comprehensive school health program. For the improvement of efficiency in school health promotion practices, above advanced strategies for school health promotion program would be necessary.

• Journal of the Society of Disaster Information
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• v.16 no.2
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• pp.331-342
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• 2020

Purpose: This study concerns the cost of safety management in order to prevent accidents and disabilities in the construction industry. The purpose of the Chapter is to draw up problems and improvement measures for these safety management costs. Method: A detailed questionnaire was developed for 20 construction safety managers for the research. This questionnaire was analyzed and implemented by the Expert Group Interview (FGI) analysis method. Results: In order to understand the safety management cost system, alternatives such as preparing a standard manual, implementing regular on-site training, and establishing a monitoring system for the safety management cost were derived. In addition, there is a need to ensure autonomy in the execution of flexible costs so that they can be deployed immediately in case of emergency to improve the 'efficiency and necessity of the safety negligence system'. And it was analyzed as items that should be improved due to excessive demand for documentation. Conclusion: Through this study, problems should be recognized for the improvement of the construction safety management cost system. And it will have to come up with policy-based and institutional-improvement measures for experts.

• Journal of Navigation and Port Research
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• v.31 no.8
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• pp.663-669
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• 2007

The purpose of this study is to investigate seafarers' attitude to casualty related safety onboard the ship. The subjects were 437 seafares' who took a safety education course in Korea Institute of Maritime and Fisheries Technology. This questionnaire was focused on finding the basic data for prevention of industrial accidents, and getting the public opinions and proposals of seafares'. The results obtained by this study are as follows : The average score of safety level for seafares' were 68.82. Current position, level of education, navigation area, classification of ships, ship size, ship age showed significant difference in statistics(p<0.01). Based on these results, this research pointed out the need to review the training manual, development of educational programs, improvement of facilities to improve safety education of ship, etc.