• Journal of the Society of Disaster Information
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• v.15 no.2
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• pp.223-238
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• 2019

Purpose: This study aims at exploring implications of discourse and social practice produced by various stakeholders in politics, economy and society to provide useful material for effective disaster response in South Korea. Method: Applying the Critical Discourse Analysis model of Fairclough, this study analyzes the newspaper articles of three domestic press companies mainly about the November 2017 Pohang earthquake. Results: As a result, first, the three media companies point out the low effectiveness of disaster response manuals and evacuation training. Second, strengthening shelter services and expanding support for the victims are important for recovery from the earthquake. Third, to prevent the future damages, they suggest the implementation efforts to improve the seismic design and short message service based disaster alert system. Conclusion: Based on the findings, this study suggests to improve the practicality and effectiveness of disaster prevention measures, establish an organic and integrated disaster response system, emphasize the roles and participation of citizens, check the responsibility of experts, and make the media to form sound discourse on disaster response.

• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.63-71
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• 2020

In this paper, we propose a fire detection technology using YOLOv3 and EfficientDet, the most reliable artificial intelligence detection algorithm recently, an alert service that simultaneously transmits four kinds of notifications: text, web, app and e-mail, and an AWS system that links fire detection and notification service. There are two types of our highly accurate fire detection algorithms; the fire detection model based on YOLOv3, which operates locally, used more than 2000 fire data and learned through data augmentation, and the EfficientDet, which operates in the cloud, has conducted transfer learning on the pretrained model. Four types of notification services were established using AWS service and FCM service; in the case of the web, app, and mail, notifications were received immediately after notification transmission, and in the case of the text messaging system through the base station, the delay time was fast enough within one second. We proved the accuracy of our fire detection technology through fire detection experiments using the fire video, and we also measured the time of fire detection and notification service to check detecting time and notification time. Our AI fire detection and notification service system in this paper is expected to be more accurate and faster than past fire detection systems, which will greatly help secure golden time in the event of fire accidents.

• Journal of Hospice and Palliative Care
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• v.13 no.4
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• pp.216-224
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• 2010

Purpose: The purpose of this study was to evaluate a community-based cancer patient management program (CBPCMP) which was collaborated between a hospice center and public health centers. Methods: The CBPCMP proceeded on four steps; 1) Signing agreements with three public health centers, 2) Enrolling the domiciliary terminal cancer patients, 3) Providing home hospice service, and 4) Inquiring patient's level of satisfaction. From February 1 to December 31 in 2009, 43 terminal cancer patients were referred and provided with home hospice service. The hospice team made a total of 605 visits. Medical records for each visit and data from satisfaction surveys were analyzed. Results: 76.7% of patients were older than 60 years, and 90.7% of the patients were alert. The level of functional status for 76.7% of patients rated as lower than ECOG grade 1. 62.8% of the patients or their caregivers signed hospice service agreements. On the initial evaluation, the most frequent reasons for referral were general weakness (86.0%), followed by anorexia (72.1%). Nurses visited the patients' most frequently (371 visits), followed by volunteers (216 visits). Nurses provided emotional support and health promotion counseling on 95.1% and 22.9% of visits, respectively. The mean satisfaction score rated by patients and their family was 4.45 out of 5. Conclusion: This study tested CBPCMP in collaboration with hospice centers and public health centers. CBPCMP showed a possibility to improve the quality of end of life care. To insure the quality care, however, the guidelines for home hospice service should be developed.