Adaptive Resampling for Emergency Rescue Location: An Initial Concept

2017 ◽  
pp. 269-273 ◽  
Author(s):  
Wan Mohd Yaakob Wan Bejuri ◽  
Mohd Murtadha Mohamad ◽  
Raja Zahilah Raja Mohd Radzi ◽  
Mazleena Salleh ◽  
Ahmad Fadhil Yusof
Keyword(s):  
Emergency Rescue ◽  
Initial Concept

Development of a retrograde flow inhibition device in continues flow VAD for emergency rescue

2014 ◽  
Vol 62 (S 01) ◽  
Author(s):  
Y. Yildirim ◽  
S. Pecha ◽  
Y. Alassar ◽  
S. Hakmi ◽  
T. Deuse ◽  
...  
Keyword(s):  
Retrograde Flow ◽  
Emergency Rescue

An Initial Concept for Intermediate-State, Passenger-Carrying Urban Air Mobility Operations

2021 ◽  
Author(s):  
Michael D. Patterson ◽  
Douglas R. Isaacson ◽  
Nancy L. Mendonca ◽  
Natasha A. Neogi ◽  
Kenneth H. Goodrich ◽  
...  
Keyword(s):  
Intermediate State ◽  
Urban Air ◽  
Initial Concept

Organization of emergency rescue works at the airport

2020 ◽  
Vol 88 ◽  
pp. 47-62
Author(s):  
V. A. Sednev ◽  
Keyword(s):  
Emergency Rescue

Emergency rescue and vascular reconstruction of carotid artery rupture:a report of 6 cases

2013 ◽  
Vol 32 (7) ◽  
pp. 738-741
Author(s):  
Min-hui ZHU ◽  
Hong-liang ZHENG ◽  
Shi-cai CHEN ◽  
Dong-hui CHEN
Keyword(s):  
Carotid Artery ◽  
Vascular Reconstruction ◽  
Emergency Rescue

Risk Prevention Measures for Three-Tower and Four-Span Suspension Bridge under Vehicle Fire

2014 ◽  
Vol 919-921 ◽  
pp. 590-597
Author(s):  
Mu Yu Liu ◽  
Wei Tian ◽  
Ying Wang ◽  
Wu Jing ◽  
Xi Chen
Keyword(s):  
Reporting System ◽  
Suspension Bridge ◽  
Risk Prevention ◽  
Public Security ◽  
Alarm System ◽  
Prevention Measures ◽  
Fire Control ◽  
Emergency Rescue ◽  
Report System ◽  
Set Up

Risk prevention measures were put forward about vehicle burning in operating periods for three-tower and four-span suspension bridge, combining with the characteristics of bridge vehicle burning accident. The article set up a traffic reporting system of the tankers for a bridge, and determined the report system of tankers across the bridge. Tankers should passed in the middle of the lane near the median under the guidance of bridge manager. Significant indicators were set on both ends of the bridge, so that vehicles could shunt rapidly in extreme fire conditions. Department of public security, fire control, transportation, bridges management center should get together to establish accident emergency rescue leading group, and formulated the security system of fire resistance and rescue organization for YingWuzhou Yangtze river bridge. Video monitoring alarm system and fire control facilities were set up in side pier, side tower, middle of the main span and the middle tower, which provided reliable and prevention measures for bridge operation.

scholarly journals A Research on Landslides Automatic Extraction Model Based on the Improved Mask R-CNN

2021 ◽  
Vol 10 (3) ◽  
pp. 168
Author(s):  
Peng Liu ◽  
Yongming Wei ◽  
Qinjun Wang ◽  
Jingjing Xie ◽  
Yu Chen ◽  
...  
Keyword(s):  
Remote Sensing Data ◽  
Extraction Methods ◽  
New Method ◽  
Detection Accuracy ◽  
Sufficient Information ◽  
Automatic Extraction ◽  
Emergency Rescue ◽  
Feature Pyramid ◽  
High Level ◽  
Extraction Model

Landslides are the most common and destructive secondary geological hazards caused by earthquakes. It is difficult to extract landslides automatically based on remote sensing data, which is import for the scenario of disaster emergency rescue. The literature review showed that the current landslides extraction methods mostly depend on expert interpretation which was low automation and thus was unable to provide sufficient information for earthquake rescue in time. To solve the above problem, an end-to-end improved Mask R-CNN model was proposed. The main innovations of this paper were (1) replacing the feature extraction layer with an effective ResNeXt module to extract the landslides. (2) Increasing the bottom-up channel in the feature pyramid network to make full use of low-level positioning and high-level semantic information. (3) Adding edge losses to the loss function to improve the accuracy of the landslide boundary detection accuracy. At the end of this paper, Jiuzhaigou County, Sichuan Province, was used as the study area to evaluate the new model. Results showed that the new method had a precision of 95.8%, a recall of 93.1%, and an overall accuracy (OA) of 94.7%. Compared with the traditional Mask R-CNN model, they have been significantly improved by 13.9%, 13.4%, and 9.9%, respectively. It was proved that the new method was effective in the landslides automatic extraction.

The optimization of warehouse location and resources distribution for emergency rescue under uncertainty

2021 ◽  
Vol 48 ◽  
pp. 101278
Author(s):  
Bo Chen Wang ◽  
Qi Yuan Qian ◽  
Jia Jing Gao ◽  
Zhe Yi Tan ◽  
Yi Zhou
Keyword(s):  
Emergency Rescue ◽  
Warehouse Location ◽  
Resources Distribution
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