scholarly journals Correction to: Multi-modal physiological sensing approach for distinguishing high workload events in remotely piloted aircraft simulation

2021 ◽  
Author(s):  
Denny Yu ◽  
Chantale Wilson Antonik ◽  
Frederick Webber ◽  
Eric Watz ◽  
Winston Bennett
Keyword(s):  
Remotely Piloted Aircraft ◽  
High Workload ◽  
Physiological Sensing

Multi-modal physiological sensing approach for distinguishing high workload events in remotely piloted aircraft simulation

2019 ◽  
Vol 1 (2-4) ◽  
pp. 89-99
Author(s):  
Denny Yu ◽  
Chantale Wilson Antonik ◽  
Frederick Webber ◽  
Eric Watz ◽  
Winston Bennett
Keyword(s):  
Remotely Piloted Aircraft ◽  
High Workload ◽  
Physiological Sensing

scholarly journals Speech Workload Estimation for Human-Machine Interaction

2019 ◽  
Vol 63 (1) ◽  
pp. 277-281
Author(s):  
Jamison Heard ◽  
Julian Fortune ◽  
Julie A. Adams
Keyword(s):  
Real Time ◽  
Task Performance ◽  
Visual Speech ◽  
Human Machine Interaction ◽  
Essential Component ◽  
Human Machine Interfaces ◽  
Remotely Piloted Aircraft ◽  
High Workload ◽  
Machine Interaction

Performing tasks quickly and accurately in dynamic and intense environments is critical, such as supervising a remotely piloted aircraft; however, these environments contain periods of low and high workload, which can decrease task performance. A system capable of intelligently adapting its interaction modality based on the human’s workload state may mitigate these undesirable workload states: underload and overload. Such a system requires mechanisms to determine accurately the human’s overall workload state and each workload component state (i.e., cognitive, physical, visual, speech, and auditory) in order to understand the current workload state’s underlying cause effectively. Existing work estimates multiple workload components, but no method estimates speech workload. This manuscript presents an algorithm for accurately estimating a human’s speech workload level using methods suitable for real-time workload assessment. The algorithm is an essential component to future adaptive human-machine interfaces.

Technical and economic analysis of certain types of service robots

2020 ◽  
Vol 19 (10) ◽  
pp. 1965-1986
Author(s):  
T.A. Komkina ◽  
M.A. Nikonova ◽  
M.G. Dubinina
Keyword(s):  
Dynamic Models ◽  
Unit Price ◽  
Service Robots ◽  
Technical Level ◽  
Positive Correlation ◽  
Technical Indicators ◽  
Technical Parameters ◽  
Prosthetic Hands ◽  
Remotely Piloted Aircraft ◽  
Aircraft System

Subject. The article analyzes development trends in certain types of service robots, namely, hybrid UAVs, bionic prosthetic hands, robotic vacuum cleaners. Objectives. We focus on identifying the main trends in the development of certain types of service robots, building dynamic models of their technical indicators and models of dependence of their price and weight on absolute characteristics and technical parameters. Methods. The study employs methods of correlation and multiple regression analysis. The data of the IFR, the Remotely Piloted Aircraft System, and websites of robot manufacturers serve as the informational basis of the paper. Results. The modeling unveils positive correlation between the integrated indicator of the technical level of hybrid UAVs of convertiplane type and the wingspan. The analysis of modern bionic prosthetic hands shows that the developers focus on optimizing the structure of the prosthetic, however, as the functions of the hand improve, the weight of bionic hand increases. The main factors influencing the price of robot vacuum cleaners are their power, weight, and operating hours. Conclusions. The unit price of a complex indicator of the technical level of hybrid UAVs is lower than the corresponding indicator of fixed-wing UAVs, reflecting a greater efficiency of hybrid UAVs. The analysis of technical indicators of robotic prosthetics (using the case of bionic hands) shows that any improvement of functional characteristics leads to deterioration of weight. The analysis of technical and economic indicators of robotic vacuum cleaners reveals a positive correlation between the price and weight, operating hours and power.

‘No-one knows where you are’: Veterinary perceptions regarding safety and risk when alone and on-call

2019 ◽  
Author(s):  
Amy Irwin ◽  
Janika Vikman ◽  
Hannah Ellis
Keyword(s):  
Quantitative Data ◽  
Qualitative Data ◽  
Safety Climate ◽  
Potential Hazard ◽  
Personal Safety ◽  
Out Of Hours ◽  
Remote Locations ◽  
High Workload ◽  
Quantitative Results ◽  
Large Animals

Background: Veterinary work is considered high risk and involves working with a range of hazards including large animals, high workload and long hours. A key potential hazard is making home visits and providing out of hours emergency care where vets often work alone, without support, and must travel long distances. The current study aimed to examine UK veterinary perceptions of safety climate, lone working and on-call tasks to gain a deeper understanding of the risk and hazards involved. Method: An online mixed-methods survey was used to gather quantitative data relevant to practice safety climate, and qualitative data regarding veterinary perception of lone working and on-call work. A sample of 76 UK veterinarians were recruited.Results: The quantitative results suggest that there may be practice safety climate issues around a lack of communication and discussion pertaining to safety, particularly in terms of maintaining personal safety. Key themes within the qualitative data included feeling pressure to treat patients, dealing with difficult clients, travel concerns and feeling unsafe when meeting clients alone and in remote locations. Conclusion: These findings indicate that personal safety requires more attention and discussion within veterinary practices, and that safety protocols and requirements should be shared with clients.

scholarly journals Detailed Characterization and Monitoring of a Retrogressive Thaw Slump from Remotely Piloted Aircraft Systems and Identifying Associated Influence on Carbon and Nitrogen Export

2021 ◽  
Vol 13 (2) ◽  
pp. 171
Author(s):  
Kevin W. Turner ◽  
Michelle D. Pearce ◽  
Daniel D. Hughes
Keyword(s):  
Surface Model ◽  
Carbon And Nitrogen ◽  
Aircraft Systems ◽  
Detailed Classification ◽  
Fill Volume ◽  
Remotely Piloted Aircraft ◽  
Total Irradiance ◽  
Retrogressive Thaw Slump ◽  
Rain Events ◽  
Sediment Export

Ice-rich permafrost landscapes are sensitive to ongoing changes in climate. Permafrost retrogressive thaw slumps (RTSs) represent one of the more abrupt and prolonged disturbances, which occur along Arctic river and lake shorelines. These features impact local travel and infrastructure, and there are many questions regarding associated impacts on biogeochemical cycling. Predicting the duration and magnitude of impacts requires that we enhance our knowledge of RTS geomorphological drivers and rates of change. Here we demonstrate the utility of remotely piloted aircraft systems (RPAS) for documenting the volumetric change, associated drivers and potential impacts of the largest active RTS along the Old Crow River in Old Crow Flats, Yukon, Canada. RPAS surveys revealed that 29,174 m3 of sediment was exported during the initial evacuation in June 2016 and an additional 18,845 m3 continued to be exported until June 2019. More sediment export occurred during the warmer 2017 summer that experienced less cumulative rainfall than summer 2018. However, several rain events during 2017 were of higher intensity than during 2018. Overall mean soil organic carbon (SOC) and total nitrogen (TN) within sampled thaw slump sediment was 1.36% and 0.11%, respectively. A combination of multispectral, thermal and irradiance (derived from the RPAS digital surface model) data provided detailed classification of thaw slump floor terrain types including raised dry clay lobes, shaded and relatively stable, and low-lying evacuation-prone sediments. Notably, the path of evacuation-prone sediments extended to a series of ice wedges in the northern headwall, where total irradiance was highest. Using thaw slump floor mean SOC and TN values in conjunction with sediment bulk density and thaw slump fill volume, we estimated that 713 t SOC and 58 t TN were exported to the Old Crow River during the three-year study. Findings showcase the utility of high-resolution RPAS datasets for refining our knowledge of thaw slump geomorphology and associated impacts.

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