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Social and Behavioral Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

James Madison University

Journal

2021

Journal of CWD

Articles 1 - 3 of 3

Full-Text Articles in Social and Behavioral Sciences

First Steps To Limiting Conflict Pollution In Central Vietnam, Allan R. Vosburgh Sep 2021

First Steps To Limiting Conflict Pollution In Central Vietnam, Allan R. Vosburgh

The Journal of Conventional Weapons Destruction

Awareness and concern are growing worldwide regarding pollution resulting from conflicts. In Vietnam, decades of wars have left a legacy of contaminated land and increasingly polluted water. Golden West Humanitarian Foundation (Golden West) believes future success in eliminating explosive remnants of war (ERW) will depend on highly-skilled, dedicated Vietnamese technicians who can apply training, tools, and techniques that mitigate ERW without unnecessarily adding new contaminants to the environment. Open detonations always contribute steel fragments and particles of explosive residue in the ground along with smoke and detonation products in the air. Golden West is helping to develop facilities, technology, and …


Remote Sensing And Artificial Intelligence In The Mine Action Sector, Martin Jebens, Rob White Sep 2021

Remote Sensing And Artificial Intelligence In The Mine Action Sector, Martin Jebens, Rob White

The Journal of Conventional Weapons Destruction

Remote sensing and artificial intelligence (AI) technologies are included in discussions of how technology and innovation can improve humanitarian action and international peacekeeping. These technologies have the potential to improve the capacity to assess needs and to monitor changes on the ground and can be useful for both the mine action (MA) and broader humanitarian sectors. Even though remote sensing and AI are not the silver bullet in MA and come with several challenges (e.g., operational and data protection), the International Committee of the Red Cross (ICRC) and the Geneva International Centre for Humanitarian Demining (GICHD) believe that the integration …


How To Implement Drones And Machine Learning To Reduce Time, Costs, And Dangers Associated With Landmine Detection, Jasper Baur, Gabriel Steinberg, Alex Nikulin Ph.D., Kenneth Chiu Ph.D., Timothy De Smet Ph.D. Sep 2021

How To Implement Drones And Machine Learning To Reduce Time, Costs, And Dangers Associated With Landmine Detection, Jasper Baur, Gabriel Steinberg, Alex Nikulin Ph.D., Kenneth Chiu Ph.D., Timothy De Smet Ph.D.

The Journal of Conventional Weapons Destruction

Two rapidly emerging technologies revolutionizing scientific problem solving are unpiloted aerial systems (UAS), commonly referred to as drones, and deep learning algorithms.1 Our study combines these two technologies to provide a powerful auxiliary tool for scatterable landmine detection. These munitions are traditionally challenging for clearance operations due to their wide area of impact upon deployment, small size, and random minefield orientation. Our past work focused on developing a reliable UAS capable of detecting and identifying individual elements of PFM-1 minefields to rapidly assess wide areas for landmine contamination, minefield orientation, and possible minefield overlap. In our most recent proof-of-concept …