지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2024.10
- 수록면
- 595 - 602 (8page)
이용수
초록· 키워드
오류제보하기
In the aftermath of earthquakes, both living and non-living structures often suffer extensive damage, making rescue operations challenging and critical. The deployment of drones in earthquake disaster
management has emerged as a valuable innovation, offering real-time aerial imagery that can significantly enhance rescue efforts. This research focuses on the application of drone-captured images to identify and prioritize affected individuals using advanced machine-learning (ML) techniques. Specifically, we are developing a model utilizing You Only Look Once (YOLO) and Convolutional Neural Networks (CNN) to analyze drone images for detecting injured or distressed individuals. The primary objective of this model is to ensure the safety and well-being of individuals impacted by the earthquake. In addition to
prioritizing human safety, the research aims to facilitate the restoration of essential services such as electricity, which is critical for effective rescue operations and the overall comfort of affected individuals. The study will also explore the creation of a strategic plan that outlines a clear and actionable pathway for search and rescue teams (SAR). This plan will guide the teams in efficiently navigating the disaster area and executing their rescue operations systematically. By integrating these technological advancements with strategic planning, the research aims to enhance the efficiency and effectiveness of earthquake
disaster response, ultimately improving outcomes for those affected by such catastrophic events.
management has emerged as a valuable innovation, offering real-time aerial imagery that can significantly enhance rescue efforts. This research focuses on the application of drone-captured images to identify and prioritize affected individuals using advanced machine-learning (ML) techniques. Specifically, we are developing a model utilizing You Only Look Once (YOLO) and Convolutional Neural Networks (CNN) to analyze drone images for detecting injured or distressed individuals. The primary objective of this model is to ensure the safety and well-being of individuals impacted by the earthquake. In addition to
prioritizing human safety, the research aims to facilitate the restoration of essential services such as electricity, which is critical for effective rescue operations and the overall comfort of affected individuals. The study will also explore the creation of a strategic plan that outlines a clear and actionable pathway for search and rescue teams (SAR). This plan will guide the teams in efficiently navigating the disaster area and executing their rescue operations systematically. By integrating these technological advancements with strategic planning, the research aims to enhance the efficiency and effectiveness of earthquake
disaster response, ultimately improving outcomes for those affected by such catastrophic events.
목차
Abstract
1. Introduction
2. Literature Review
3. Proposed Model
4. Results
5. Conclusion
References
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
MR-Drone: Mixed Reality-Based Drone-Assisted Search and Rescue System
한국통신학회 학술대회논문집
2020 .02
-
포항 지진과 일본 지진관리 업무 비교·분석
한국지진공학회 논문집
2018 .01
-
Development of Multi-purpose Disaster Rescue Drone
대한전기학회 학술대회 논문집
2019 .07
-
소방분야의 드론 활용방안 연구 경향 분석
한국산학기술학회 논문지
2021 .04
-
구조용 드론의 구조요청 신호 식별을 위한 실시간 객체 인식
한국항공우주학회 학술발표회 초록집
2019 .11
-
해양수색구조 방식의 비용분석
한국해양환경·에너지학회 학술대회논문집
2024 .11
-
Remote Monitoring System with Multi Sensors on Mobile Communication for Rescue Operations
제어로봇시스템학회 국제학술대회 논문집
2015 .10
-
드론 기반 조난자 위치추적 시스템에 대한 사례연구
한국통신학회 학술대회논문집
2019 .01
-
튜브형 해양 구조 드론
한국기계가공학회 춘추계학술대회 논문집
2017 .10
-
Earthquake Disaster Simulation of Civil Infrastructures
대한토목학회지
2018 .02
-
A Mobile Robot Framework in Industrial Disaster for Human Rescue
제어로봇시스템학회 국제학술대회 논문집
2022 .11
-
실종자 수색 드론을 위한 탐지 알고리즘 일반화 성능 분석
한국항공우주학회 학술발표회 초록집
2022 .11
-
지진 재난 대응 중요도/위험도 및 지반정보 기반 재난의사결정지원 시스템
대한설비관리학회지
2020 .01
-
A Study on the Factors Affecting Drone Use Intention - Comparative analysis of Korea and United Kingdom
항공우주시스템공학회지
2021 .12
-
Analysis of Drone Target Sear ch Per formance According to Environment Change
멀티미디어학회논문지
2019 .10
-
세계유산의 지진 피해 대응 및 복원 과정 분석 - 네팔 카트만두 밸리를 중심으로 -
대한건축학회논문집
2024 .10
-
실시간 드론 영상 기반 지리적 위치 추정을 통한 실종자 수색
제어로봇시스템학회 논문지
2024 .08
-
기계학습 기반의 충청남도 소방본부 구조현황 분석에 관한 연구
한국산학기술학회 논문지
2025 .03
-
Behavior of the Rescue Robot to Reduce Fire Damage
ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications
2015 .06
이 논문과 함께 이용한 논문
컨볼루션 오토인코더와 다층 퍼셉트론을 이용한 냉장고 사이클 진공도 시계열 이상 패턴 탐지 및 분류
정재현
,
노유정
,
강영진
외 2명
대한산업공학회지
2025
.02
로봇 조립 특징 형상 분류를 위한 3D CNN 개발
도남철
,
한효녕
,
조준면
대한산업공학회지
2024
.12
SYnet: 4D Convolutional Neural Network-Based Maintenance Lift Vehicle Demand Prediction Model for a Large Shipyard
Kyuheon Jung
,
Sungchul Choi
,
Sion Jang
외 1명
Industrial Engineering & Management Systems
2024
.06
상관관계 분석 및 데이터 증강을 활용한 반도체 설비 고장 감지
백민재
,
김성범
대한산업공학회지
2024
.06
Self-Assured Deep Learning with Minimum Pre-Labeled Data for Wafer Pattern Classification
Shu-Kai S. Fan
,
Du-Ming Tsai
,
Ya-Fang Shih
대한산업공학회 춘계공동학술대회 논문집
2024
.05
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-151-25-02-091163128