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Safety

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Robotic Dispersal Technique for 35 GBq of 140La in an L-polygon Pattern.

Health physics
In 2018, Defence Research and Development Canada, in partnership with Natural Resources Canada, led a field trial of survey and mapping of a large dispersion of radioactivity using Unmanned Aerial Vehicles (UAVs). The intent was to disperse La materi...

Evaluation and Verification of A Novel Wrist Rehabilitation Robot employing Safety-related Mechanism.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
In this paper, we propose a wrist rehabilitation robot employing a novel actuation mechanism composed of electromagnetic clutch, brake, and motor and a safe-related mechanism. The actuation mechanism of the robot can perform both passive and active r...

A trial of retrofitted advisory collision avoidance technology in government fleet vehicles.

Accident; analysis and prevention
In-vehicle collision avoidance technology (CAT) has the potential to prevent crash involvement. In 2015, Transport for New South Wales undertook a trial of a Mobileye 560 CAT system that was installed in 34 government fleet vehicles for a period of s...

Applying Machine Learning to Workers' Compensation Data to Identify Industry-Specific Ergonomic and Safety Prevention Priorities: Ohio, 2001 to 2011.

Journal of occupational and environmental medicine
OBJECTIVE: This study leveraged a state workers' compensation claims database and machine learning techniques to target prevention efforts by injury causation and industry.

Construction accident narrative classification: An evaluation of text mining techniques.

Accident; analysis and prevention
Learning from past accidents is fundamental to accident prevention. Thus, accident and near miss reporting are encouraged by organizations and regulators. However, for organizations managing large safety databases, the time taken to accurately classi...

Hazard Detection for Motorcycles via Accelerometers: A Self-Organizing Map Approach.

IEEE transactions on cybernetics
This paper deals with collision and hazard detection for motorcycles via inertial measurements. For this kind of vehicles, the most difficult challenge is to distinguish road's anomalies from real hazards. This is usually done by setting absolute thr...

On the Safety of Machine Learning: Cyber-Physical Systems, Decision Sciences, and Data Products.

Big data
Machine learning algorithms increasingly influence our decisions and interact with us in all parts of our daily lives. Therefore, just as we consider the safety of power plants, highways, and a variety of other engineered socio-technical systems, we ...