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Journal Article 4

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Drone 1

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ambulance drone 1

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emergency medicine logistics 1

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Multi-stage emergency medicine logistics system optimization based on survival probability

Ke WANG, Yixin LIANG, Lindu ZHAO

Frontiers of Engineering Management 2017, Volume 4, Issue 2,   Pages 221-228 doi: 10.15302/J-FEM-2017020

Abstract: A distribution model of survival is built, drone and ambulance arrival probability over time are discussedResults show that compared to using current ambulance vehicles, ambulance drones delivering medical equipmentresults show that the medical rescue logistics service radius, speed, loading capacity and performance of ambulance

Keywords: emergency medicine logistics     ambulance drone     survival probability     critical illness    

Anewhierarchical software architecture towards safety-critical aspects of a drone system Special Feature on Intelligent Robats

Xiao-rui ZHU, Chen LIANG, Zhen-guo YIN, Zhong SHAO, Meng-qi LIU, Hao CHEN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 3,   Pages 353-362 doi: 10.1631/FITEE.1800636

Abstract: hierarchical software architecture is proposed to improve the safety and reliability of a safetycritical dronethe implementation of each module satisfies its expected design specification, so that it prevents a droneSince device drivers are considered the most important parts affecting the safety of the drone systemverifying bus drivers such as the serial peripheral interface and the inter-integrated circuit drivers in a drone

Keywords: Safety-critical     Drone     Software architecture     Formal verification    

Detection of the Pine Wilt Disease Tree Candidates for Drone Remote Sensing Using Artificial Intelligence Article

Mutiara Syifa, Sung-Jae Park, Chang-Wook Lee

Engineering 2020, Volume 6, Issue 8,   Pages 919-926 doi: 10.1016/j.eng.2020.07.001

Abstract: We used drone remote sensing techniques to detect trees with similar symptoms to trees infected withDrone remote sensing was employed because it yields high-quality images and can easily reach the locationsTo differentiate healthy pine trees from those with PWD, we produced a land cover (LC) map from droneWe then divided the drone images into six LC classes for each study area and found that the SVM was moreThere were some differences between the hand-held and drone GPS datasets from both areas.

Keywords: Pine wilt disease     Drone remote sensing     Artificial neural network     Support vector machine     Global positioning    

The Development and Research Synopsis of Large UAV in China

Zhao Xu

Strategic Study of CAE 2003, Volume 5, Issue 1,   Pages 38-41

Abstract: background of large UAV * s development in China, which includes the first developed simulated target drone, all kinds of substantial pilotless drone and the developing unmanned attack air vehicle.

Keywords: target drone     unmanned air vehicle (UAV)     unmanned combat air vehicle (UCAV)     development     application    

Title Author Date Type Operation

Multi-stage emergency medicine logistics system optimization based on survival probability

Ke WANG, Yixin LIANG, Lindu ZHAO

Journal Article

Anewhierarchical software architecture towards safety-critical aspects of a drone system

Xiao-rui ZHU, Chen LIANG, Zhen-guo YIN, Zhong SHAO, Meng-qi LIU, Hao CHEN

Journal Article

Detection of the Pine Wilt Disease Tree Candidates for Drone Remote Sensing Using Artificial Intelligence

Mutiara Syifa, Sung-Jae Park, Chang-Wook Lee

Journal Article

The Development and Research Synopsis of Large UAV in China

Zhao Xu

Journal Article