• Korean Journal of Adult Nursing
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• v.22 no.4
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• pp.375-383
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• 2010

Purpose: The purpose of this study was to examine if simulation training affects new graduate critical care nurses' knowledge, self-efficacy, and performance ability in emergency situations. Methods: Forty new graduate critical care nurses were randomly assigned to either an experimental or a control group. The experimental group had didactic with simulation. The control group received only didactic without simulation about emergency situations. The data were collected before and after the training interventions. An independent t-test used for difference among variables. Results: There were no significant demographic differences between the two groups or any differences on data collected knowledge, self-efficacy and performance ability. Following the training, there were significant performance ability scores (p<.001) among the nurses receiving didactic with simulation. There were no significant difference between the two groups relative to knowledge scores (p=.117), or the self-efficacy scores (p=.100). Conclusion: This study showed that simulation training for new graduate critical care nurses is useful to improve performance ability on emergency situations. Hence, providing simulation training to critical care nurses during an orientation period would improve quality of critical care nursing and help the new graduates nurse's adaptation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.6
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• pp.275-279
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• 2018

A brain abscess is caused by an infection in the central nervous system and leads to significant neurological sequelae. Despite advances in neurocritical care, high morbidity and mortality rates are still associated with brain abscess, especially in certain high-risk patients. Thus, a brain abscess is a medical emergency requiring prompt diagnosis and treatment with antibacterial therapy. However, the recurrence of brain abscess is rare. A 59-year-old man presented at our neurology clinic with a headache and was found to have chronic otitis media. Serial brain magnetic resonance imaging (MRI) scans of the patient demonstrated a brain abscess in the right frontal lobe. Following stereotactic aspiration of the brain abscess and proper antimicrobial treatment, the patient recovered completely. Five months after discharge, the patient revisited our clinic with a headache and seizure symptoms, and recurrence of the brain abscess was confirmed by brain MRI. Recurrent brain abscess has been documented in patients with predisposing conditions such as retained foreign bodies, chronic sinusitis, arteriovenous fistula, and right-to-left shunt.

• Journal of KIISE:Software and Applications
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• v.34 no.5
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• pp.407-418
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• 2007

Service science is a new application area that implements services in an interdisciplinary area of management, economics, and engineering. Service systems provide functionalities of traditional software systems, moreover the functionalities are more intellectual in that they require dynamic context awareness, analysis, and decision making based on the recognized and analyzed contexts. However, conventional software development approaches do not sufficiently provide methods to model the service requirements and to design service-intensive systems. Therefore, there is a great demand on effective methodologies for developing service systems. In this paper, we compare traditional software systems with service-intensive systems in order to identify characteristics of the service systems. And, we propose a step-wise process to model service systems, in terms of architecture, components, and workflows. Then, we show a case study on an emergency handling system which is a type of living assistant systems. We believe that the proposed approach can be used in developing high-quality service systems effectively.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.12A
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• pp.1113-1121
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• 2010

The Vehicle Safety Communications (VSC) is one of VANET applications for preventing vehicle accidents, and it utilizes vehicle-to-vehicle communication to exchange emergency messages. To propagate such messages in VSC, several schemes based on selective flooding have been proposed. Their common idea is that an emergency message is relayed by one of vehicles receiving the message. However, the schemes do not consider the transmission errors and duplications of an emergency event. In the schemes, if there are transmission errors and a vehicle detects a hazard, there may be vehicles which fail to receive an emergency message. If k vehicles detect a hazard, k emergency messages are created and propagated. The duplications of an event increase reliability of the message delivery but decrease efficiency. In this paper, we propose an emergency message delivery scheme which is efficient and robust to transmission errors. Our proposed scheme utilizes clustering for massage aggregation and retransmissions in a cluster. It also uses an acknowledgment mechanism for reliable inter-cluster communication. Our simulation results show that the proposed scheme outperforms Least Common Neighbor Flooding which is one of the selective flooding schemes.

• Phonetics and Speech Sciences
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• v.8 no.2
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• pp.31-39
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• 2016

In emergency dispatching at 119 Command & Dispatch Center, some inconsistencies between the 'standard emergency aid system' and 'dispatch protocol,' which are both mandatory to follow, cause inefficiency in the dispatcher's performance. If an emergency dispatch system uses automatic speech recognition (ASR) to process the dispatcher's protocol speech during the case registration, it instantly extracts and provides the required information specified in the 'standard emergency aid system,' making the rescue command more efficient. For this purpose, we have developed a Korean large vocabulary continuous speech recognition system for 400,000 words to be used for the emergency dispatch system. The 400,000 words include vocabulary from news, SNS, blogs and emergency rescue domains. Acoustic model is constructed by using 1,300 hours of telephone call (8 kHz) speech, whereas language model is constructed by using 13 GB text corpus. From the transcribed corpus of 6,600 real telephone calls, call logs with emergency rescue command class and identified major symptom are extracted in connection with the rescue activity log and National Emergency Department Information System (NEDIS). ASR is applied to emergency dispatcher's repetition utterances about the patient information. Based on the Levenshtein distance between the ASR result and the template information, the emergency patient information is extracted. Experimental results show that 9.15% Word Error Rate of the speech recognition performance and 95.8% of emergency response detection performance are obtained for the emergency dispatch system.

• The Journal of the Korea Contents Association
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• v.19 no.11
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• pp.71-79
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• 2019

This study was conducted to examine the awareness and demands of parents and teachers on the use of IoT healthcare devices at daycare centers. A survey was conducted on 200 teachers and 200 parents. Collected data were analyzed by Frequency analysis, t-test, 𝑥2, using the SPSS WIN 22.0. The results of this study are as follows. First, teachers showed a higher level of preference for using IoT healthcare devices as they showed positive perception and support compared to parents, and showed higher recognition of information leakage than parents. Second, teachers and parents were most hoping to use IoT healthcare devices at emergency response in daycare-centers and had the highest demands for wearable devices. As a result of the both parents and teachers demand cost-sharing. Based on the results of this study, the possibility of utilizing IoT healthcare devices in daycare centers were discussed.

• Journal of Chest Surgery
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• v.36 no.8
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• pp.590-594
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• 2003

Vascular injury has been increased with popular outside activities. However there are only a few studies for vascular trauma. We intended to find out the relationships between the vascular trauma and its prognosis. Material and Method: Forty-four patients were diagnosed and operated on for vascular injury in the Gyeongsang National University Hospital from 1992. to 1999. We reviewed their chart and analysed their data retrospectively. We studied to causes, treatments, and prognoses of traumatic vascular injury. Result: The transfer time between accident place and emergency department was mean 3,5 hour, and the operation preparing time was 8.8 hours. Five cases required amputation of extremity. All amputation cases were combined with communited bony fractures. Thirty-eight cases had combined other injuries, and almost combined injuries were muscular and neurological damages, Conclusion: The optimal treatment plan for vascular trauma was prompt diagnosis and quick management. It may decrease amputation rate and post-traumatic complications. Therefore we must be carefully evaluated the multiple traumatic patients for early diagnosis of vascular injury and operate quickly in emergency status.

• Journal of the Korean Society of Hazard Mitigation
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• v.8 no.3
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• pp.95-103
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• 2008

Knowledge of expected losses in terms of physical, economic, and social damages due to a potential earthquake will be helpful in the effort to mitigate seismic hazards. In this study, losses due to a magnitude 6.7 scenario earthquake in the Gyeongju area have been estimated using the deterministic method in HAZUS. The attenuation relation proposed by Sadigh et al.(1997) for site classes B, C, and D, which are assumed to represent the characteristics of the strong-motion attenuation in the Korean Peninsula, has been applied. Losses due to the hypothetical earthquake have been also calculated using other attenuation relationships to examine their roles in the loss estimation. The findings indicate differences among the estimates based on various attenuation relationships. Estimated losses of the Gyeongju area by a scenario earthquake using HAZUS should be seriously considered in the planning of disaster response and hazard mitigation.

• Journal of Korean Society for Geospatial Information Science
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• v.20 no.4
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• pp.135-143
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• 2012

Remote sensing which observes repeatedly the whole Earth and GIS-based decision-making technology have been utilized widely in disaster management such as early warning monitoring, damage investigation, emergent rescue and response, rapid recovery etc. In addition, various countermeasures of national level to collect timely satellite imagery in emergency have been considered through the operation of a satellite with onboard multiple sensors as well as the practical joint use of satellite imagery by collaboration with space agencies of the world. In order to respond heavy snowfall disaster occurred on the east coast of the Korean Peninsula in February 2011, snow-covered regions were analyzed and detected in this study through NDSI(Normalized Difference Snow Index) considering reflectance of wavelength for MODIS sensor and change detection algorithm using satellite imagery collected from International Charter. We present the application case of National Disaster Management Institute(NDMI) which supported timely decision-making through GIS spatial analysis with various spatial data and snow cover map.

• Journal of the Korean Geographical Society
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• v.41 no.2 s.113
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• pp.188-194
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• 2006

Three-dimensional topological data is essential for 3D modeling and application such as emergency management and 3D network analysis. This paper reviewed current 3D topological data model and developed a method to construct 3D topological node-relation data structure from 2D computer aided design (CAD) data. The method needed two steps with medial axis-transformation and topological node-relation algorithms. Using a medial-axis transformation algorithm, the first step is to extract skeleton from wall data that was drawn polygon or double line in a CAD data. The second step is to build a topological node-relation structure by converting rooms to nodes and the relations between rooms to links. So, links represent adjacency and connectivity between nodes (rooms). As a result, with the conversion method 3D topological data for micro-level sub-unit of each building can be easily constructed from CAD data that are commonly used to design a building as a blueprint.