• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.7
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• pp.1583-1588
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• 2013

According to 2008 statistics, there is a need for sailing lookout to minimize the ships collision that caused a secondary damage such as environment pollution and it happened 25 percentage rate. The aim of this study is to construct the object targeting system for notifying the sailing and ship information as monitoring the marine with CCTV having a zoom, rotation, and tile function. In this study we expected to induce the safety sailing by offering the CCTV automatic treatment.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.12 no.4
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• pp.285-289
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• 2012

In a coastal area, all of the vessels are always exposed to the potential risk, taking into the maritime accident statistics account over the last decades. To manage vessels underway safety, the characteristics of ship movements in a fairway should be recognized by VTS system or VTS operators. The IMO has already mandated the shipboard carriage of AIS since 2004, as stated in SOLAS Chapter V Regulation 19. As a result, the static and dynamic information of AIS data has been collected for vessel traffic management in the coastal areas and used for VTS. This research proposes a simple algorithm of recognizing potentially risky ships by observing their trajectories on the fairway. The static and dynamic information of AIS data are collected and the curvature for the ship trajectory is surveyed. The proposed algorithm finds out the irregularity of ship movement. The algorithm effectively monitors the change of navigation pattern from the curvature analysis of ship trajectory. Our method improves VTS functions in an intelligent way by analyzing the navigation pattern of vessels underway.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.17 no.1
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• pp.39-45
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• 2009

An Analysis of wind is essential for planning runway direction. As a general rule, the principal traffic runway at an airport should be oriented as closely as practicable in the direction of the prevailing wind. Aircraft are able to maneuver on a runway as long as the wind component at right angles to the direction of landing and taking-off, the cross wind component, is not excessive. ICAO recommends that runway be oriented so that aircraft may be landed at least 95% of the time with allowable cross wind components not exceeding specified limits based upon the airport reference field length. Based on the recommendation, the direction of the runway or runways at an airport can be determined through graphical vector analysis on wind rose. This study is to develop the wind-rose software for planning the optimum runway direction at an airport with the raw wind data based on reliable wind distribution statistics that extend over as long as a period as possible, preferably of not less than 5 years.

• The Korean Journal of Emergency Medical Services
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• v.19 no.1
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• pp.19-33
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• 2015

Purpose: The purpose of this study was to improve the quality of prehospital care provided to infants and toddlers (preschoolers) based on questionnaire findings. Methods: A total of 1,634 running sheets from 119 centers of D city from patients older than 1 month and less than 7 years of age from January 1, 2013 to December 31, 2013 were reviewed for 119 emergency medical technicians (EMTs) activity analysis. And a self-reported questionnaire about knowledge and competency in prehospital care of preschoolers was completed by 159 EMTs at fire stations in D city. Data were analyzed using IBM SPSS Statistics for Windows, Version 21.0. Results: Of 1,634 patients, 58.6% were call to 119 due to disease, 33.8% due to injuries and 7.5% due to traffic accident. Knowledge and confidence in treating preschoolers was significantly higher among paramedic EMTs than basic EMTs. The 119 EMTs surveyed indicated that training for preschooler prehospital care was most needed. Conclusion: In order to provide high quality prehospital care for preschoolers transported to emergency rooms, it is necessary to equip ambulances with the proper equipment. In addition, EMTs should be provided educational opportunities and clinical training.

• IEMEK Journal of Embedded Systems and Applications
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• v.4 no.1
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• pp.42-49
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• 2009

Most Vehicular Ad hoc Network (VANET) applications rely heavily on broadcast transmission of traffic related information to all reachable nodes within a certain geographical area. Among various broadcast approaches, flooding is the first broadcasting technique. Each node rebroadcasts the received message exactly once, which results in broadcast storm problems. Some mechanisms have been proposed to improve flooding in Mobile Ad hoc Networks (MANET), but they are not effective for VANET and only a few studies have addressed this issue. We propose two distance-based and timer-based broadcast suppression techniques: 15P(15percent) and slotted 15P. In the first (distance based) scheme, node's transmission range is divided into three ranges (80%,15%and5%). Only nodes within 15% range will rebroadcast received packet. Specific packet retransmission range (15%) is introduced to reduce the number of messages reforwarding nodes that will mitigate the broadcaststorm. In the second (timer-based) scheme, waiting time allocation for nodes within 15% range isused to significantly reduce the broadcaststorm. The proposed schemes are distributed and reliedon GPS information and do not requireany other prior knowledge about network topology. To analyze the performance of proposed schemes, statistics such as link load and the number of retransmitted nodes are presented. Our simulation results show that the proposed schemes can significantly reduce link load at high node densities up to 90 percent compared to a simple broadcast flooding technique.

• Convergence Security Journal
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• v.9 no.1
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• pp.11-17
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• 2009

The object of this paper is to design a school-zone safety management system based on context-aware, integrated with computing technology. When it occurs to kidnap of elementary school students, the monitoring device creates context information through a combination object extraction and context-aware technology and alarm administrator about an emergency situation. In addition, the proposed system that requires a human perspective, a railroad crossing, statistics research of traffic, and a variety of applications such as factory automation systems can be used to be the best choice.

• The Korean Journal of Applied Statistics
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• v.20 no.3
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• pp.459-473
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• 2007

In this paper, we suggest a spatial regression model to predict AADT. Although Euclidian distances between one monitoring site and its neighboring sites were usually used in the many analysis, we consider the shortest travel path between monitoring sites to predict AADT for unmonitoring site using spatial regression model. We used universal Kriging method for prediction and found that the overall predictive capability of the spatial regression model based on shortest travel path is better than that of the model based on multiple regression by cross validation.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.44 no.6
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• pp.269-274
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• 2018

Objectives: The incidence and patterns of mandibular fractures vary by country and population age. This retrospective study evaluated the etiologies and patterns of mandibular fractures in children. Materials and Methods: The clinical records of 89 children (45 males and 44 females) aged 0 to 12 years who presented with mandibular fractures from July 2012 to June 2016 were retrospectively reviewed. The sex, patient age, site of fracture, etiology of trauma, and monthly variations of the fractures were recorded. Descriptive statistics, the z-test and chi-square test were used for statistical analysis and the P-value was set at <0.05. Results: Eighty-nine children (male-to-female ratio 1.02:1) sustained 131 mandibular fractures. Within the study sample, the 6 to 9 year age group most frequently experienced fractures (47.3%). Falls and road traffic accidents (RTA) were the two most common etiological factors that accounted for 44.9% and 24.7% of cases. The condylar fracture was the most common anatomical location (38.9%) followed by the angle (20.6%), parasymphysis (18.3%), body (15.3%), and symphysis (5.3%). A single fracture (51.7%) was more common than multiple fractures (48.3%). The month-wise distribution of mandibular fractures was fairly constant. Conclusion: The condylar region was the most common anatomic site for fractures; in addition, a fall and RTA were the major etiological factors for mandibular fractures. A single fracture was observed in 51.7% of patients while multiple fracture lines accounted for 48.3% of cases.

• Research in Community and Public Health Nursing
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• v.32 no.1
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• pp.64-72
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• 2021

Purpose: The purpose of this study is to analyze occupational accident compensation insurance coverage and occupational accidents incidence for special-type delivery workers. Methods: The data for occupational accident compensation insurance coverage and occupational accidents from 2012 to 2017 were analyzed through descriptive statistics. Results: Rates of occupational accident compensation insurance coverage of special-type delivery workers decreased gradually from 43.4% in 2012 to 28.5% in 2016, and 29.0% in 2017. Rates of occupational illnesses death per ten thousand workers increased gradually from 2.1‱ in 2013 to 3.1‱ in 2016, and 8.6‱ in 2017. All occupational illness deaths were due to cerebro-cardiovascular diseases. Road traffic accidents and slips accounted for the largest proportion of occupational accidents. Conclusion: Special-type delivery workers have a high risk of industrial accidents, so it is necessary to raise industrial accident insurance coverage and provide professional and systematic occupational safety and health services.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.701-702
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• 2020

본 논문에서는 Jetson-Nano와 데스크탑에서 OpenCV와 YOLOv3 실시간 객체 인식 알고리즘을 이용하여 웹캠을 통해 주차장 등의 출입 차량 인식 통계 시스템을 개발하였다. 최근 에지컴퓨팅에 관심이 증가하고 있는 시점에서 Nvidia사에서 개발하여 보급하고 있는 Jetson-Nano에 YOLOv3 tiny와 OpenCV를 이용하여 차량인식을 수행하고, 구글에서 개발한 오픈 소스 Tesseract-OCR을 이용해 차량번호인식하여 입출차 혹은 주차시 차량정보를 확인할 수 있다. 딥러닝 학습 알고리즘에서 전기차 번호판의 특징점을 인식하여 전기차를 판별하여 일반차량이 전기차 주차구역에 불법주차하는 것을 모니터링할 수도 있다. 출입한 차량 데이터 베이스에서 입출차 시각, 차량번호, 전기차여부등이 확인 가능하다.