scholarly journals Toward Hybrid Teams: A Platform To Understand Human-Computer Collaboration During The Design of Complex Engineered Systems

2020 ◽  
Author(s):  
Christopher McComb ◽  
Binyang Song ◽  
Nicolas F. Soria Zurita ◽  
Guanglu Zhang ◽  
Gary Stump ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Design Research ◽  
Data Logging ◽  
Complex Engineered Systems ◽  
Aerial Vehicle ◽  
Engineered Systems ◽  
Multi Phase ◽  
Phase Design ◽  
Hybrid Teams

Human-computer hybrid teams can meet challenges in designing complex engineered systems. However, the understanding of interaction in the hybrid teams is lacking. We review the literature and identify four key attributes to construct design research platforms that support multi-phase design, hybrid teams, multiple design scenarios, and data logging. Then, we introduce a platform for unmanned aerial vehicle (UAV) design embodying these attributes. With the platform, experiments can be conducted to study how designers and intelligent computational agents interact, support, and impact each other.

scholarly journals TOWARD HYBRID TEAMS: A PLATFORM TO UNDERSTAND HUMAN-COMPUTER COLLABORATION DURING THE DESIGN OF COMPLEX ENGINEERED SYSTEMS

2020 ◽  
Vol 1 ◽  
pp. 1551-1560
Author(s):  
B. Song ◽  
N. F. Soria Zurita ◽  
G. Zhang ◽  
G. Stump ◽  
C. Balon ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Design Research ◽  
Data Logging ◽  
Complex Engineered Systems ◽  
Aerial Vehicle ◽  
Engineered Systems ◽  
Multi Phase ◽  
Phase Design ◽  
Hybrid Teams

AbstractHuman-computer hybrid teams can meet challenges in designing complex engineered systems. However, the understanding of interaction in the hybrid teams is lacking. We review the literature and identify four key attributes to construct design research platforms that support multi-phase design, hybrid teams, multiple design scenarios, and data logging. Then, we introduce a platform for unmanned aerial vehicle (UAV) design embodying these attributes. With the platform, experiments can be conducted to study how designers and intelligent computational agents interact, support, and impact each other.

scholarly journals Measurement of turbulent water vapor fluxes using a lightweight unmanned aerial vehicle system

2011 ◽  
Vol 4 (4) ◽  
pp. 5529-5568 ◽  
Author(s):  
R. M. Thomas ◽  
K. Lehmann ◽  
H. Nguyen ◽  
D. L. Jackson ◽  
D. Wolfe ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Water Vapor ◽  
Unmanned Aerial Vehicle ◽  
System Development ◽  
Spatial Scales ◽  
Ground Level ◽  
Heat Fluxes ◽  
Data Logging ◽  
Pass Filter ◽  
Aerial Vehicle

Abstract. We present here the first application of a lightweight unmanned aerial vehicle (UAV) system designed to measure turbulent properties and vertical latent heat fluxes (λE). Such measurements are crucial to improve our understanding of linkages between surface moisture supply and boundary layer clouds and phenomena such as atmospheric rivers. The application of UAVs allows for measurements on spatial scales complimentary to satellite, aircraft, and tower derived fluxes. Key system components are: a turbulent gust probe; a fast response water vapor sensor; an inertial navigation system (INS) coupled to global positioning system (GPS); and a 100 Hz data logging system. We present measurements made in the continental boundary layer at the National Aeronautics and Space Administration (NASA) Dryden Research Flight Facility located in the Mojave Desert. Two flights consisting of several horizontal straight flux run legs up to ten kilometers in length and between 330 and 930 m above ground level (m a.g.l.) are compared to measurement from a surface tower. Surface measured λE ranged from −53 W m−2 to 41 W m−2, and the application of a Butterworth High Pass Filter (HPF) to the datasets improved agreement to within ± 12 W m−2 for 86 % of flux runs, by removing improperly sampled low frequency flux contributions. This result, along with power and co-spectral comparisons and consideration of the differing spatial scales indicates the system is able to resolve vertical fluxes for the measurement conditions encountered. Challenges remain, and the outcome of these measurements will be used to inform future sampling strategies and further system development.

scholarly journals Object-based image analysis (OBIA) for mapping mangrove using Unmanned Aerial Vehicle (UAV) on Tidung Kecil Island, Kepulauan Seribu, DKI Jakarta Province

2021 ◽  
Vol 944 (1) ◽  
pp. 012037
Author(s):  
R A Pasaribu ◽  
F A Aditama ◽  
P Setyabudi
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Spatial Data ◽  
Design Research ◽  
Direct Role ◽  
Object Based Image Analysis ◽  
Mangrove Ecosystems ◽  
Sensing Technology ◽  
Object Based ◽  
Good Classification ◽  
Aerial Vehicle

Abstract Tidung Kecil Island is a conservation and mangrove cultivation area. Therefore, the potential of mangrove ecosystems on Tidung Kecil Island will have a direct role in coastal ecosystems. Accurate mangrove mapping is necessary for the effective planning and management of ecosystems and resources because mangroves function as protectors of ecological systems. The utilization of remote sensing technology that is near real-time can be used as an alternative in providing spatial data effectively. Mapping earth’s surface objects method is growing especially after the development of design, research, and production of flexible Unmanned Aerial Vehicle (UAV) platforms. The use of object-based classification methods is currently an alternative in classifying an object of the Earth’s surface using both satellite and aerial photo imagery data (orthophoto) that has a high accuracy value. This research aim is to map object based mangrove ecosystems using UAV technology on Tidung Kecil Island, Kepulauan Seribu, DKI Jakarta. The K-NN algorithm result was a good classification with 81.081% overall accuracy (OA) at the optimum value of the MRS segmentation scale 300;0,1;0.7 and divided into two classes which are mangrove and non-mangrove for 0.381 ha and 20.912 ha respectively.

scholarly journals Measurement of turbulent water vapor fluxes using a lightweight unmanned aerial vehicle system

2012 ◽  
Vol 5 (1) ◽  
pp. 243-257 ◽  
Author(s):  
R. M. Thomas ◽  
K. Lehmann ◽  
H. Nguyen ◽  
D. L. Jackson ◽  
D. Wolfe ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Water Vapor ◽  
Unmanned Aerial Vehicle ◽  
System Development ◽  
Spatial Scales ◽  
Ground Level ◽  
Heat Fluxes ◽  
Data Logging ◽  
Pass Filter ◽  
Aerial Vehicle

Abstract. We present here the first application of a lightweight unmanned aerial vehicle (UAV) system designed to measure turbulent properties and vertical latent heat fluxes (λE). Such measurements are crucial to improve our understanding of linkages between surface moisture supply and boundary layer clouds and phenomena such as atmospheric rivers. The application of UAVs allows for measurements on spatial scales complimentary to satellite, aircraft, and tower derived fluxes. Key system components are: a turbulent gust probe; a fast response water vapor sensor; an inertial navigation system (INS) coupled to global positioning system (GPS); and a 100 Hz data logging system. We present measurements made in the continental boundary layer at the National Aeronautics and Space Administration (NASA) Dryden Research Flight Facility located in the Mojave Desert. Two flights consisting of several horizontal straight flux run legs up to ten kilometers in length and between 330 and 930 m above ground level (m a.g.l.) are compared to measurement from a surface tower. Surface measured λE ranged from −53 W m−2 to 41 W m−2, and the application of a Butterworth High Pass Filter (HPF) to the datasets improved agreement to within +/−12 W m−2 for 86% of flux runs, by removing improperly sampled low frequency flux contributions. This result, along with power and co-spectral comparisons and consideration of the differing spatial scales indicates the system is able to resolve vertical fluxes for the measurement conditions encountered. Challenges remain, and the outcome of these measurements will be used to inform future sampling strategies and further system development.

Study on Fault Diagnosis of Planetary Gearbox in Unmanned Aerial Vehicle Using Multi sensor Data

2020 ◽  
Vol 20 (4) ◽  
pp. 332-342
Author(s):  
Hyung Jun Park ◽  
Seong Hee Cho ◽  
Kyung-Hwan Jang ◽  
Jin-Woon Seol ◽  
Byung-Gi Kwon ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Unmanned Aerial Vehicle ◽  
Sensor Data ◽  
Planetary Gearbox ◽  
Aerial Vehicle

Results of Spatial Structure of Atmosphere Radiation in a Spectral Range (1.5–2) µm Research

2018 ◽  
pp. 7-13
Author(s):  
Anton M. Mishchenko ◽  
Sergei S. Rachkovsky ◽  
Vladimir A. Smolin ◽  
Igor V . Yakimenko
Keyword(s):  
Spatial Structure ◽  
Unmanned Aerial Vehicle ◽  
Wavelength Range ◽  
Spectral Range ◽  
Near Ir ◽  
Optoelectronic Systems ◽  
Aerial Vehicle

Results of experimental studying radiation spatial structure of atmosphere background nonuniformities and of an unmanned aerial vehicle being the detection object are presented. The question on a possibility of its detection using optoelectronic systems against the background of a cloudy field in the near IR wavelength range is also considered.

Positioning the Angle of Attack Sensor on an Unmanned Aerial Vehicle Wing

2016 ◽  
Vol 3 (1) ◽  
pp. 25-33
Author(s):  
Amir Birjandi ◽  
◽  
Valentin Guerry ◽  
Eric Bibeau ◽  
Hamidreza Bolandhemmat ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Angle Of Attack ◽  
Aerial Vehicle
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