SATELLITE PHOTOGRAPHY

1964 ◽  
Vol 18 (2) ◽  
pp. 105-112
Author(s):  
C. I. Taggart
Keyword(s):  
Water Resources ◽  
Real Time ◽  
Forest Fires ◽  
Flood Control ◽  
Automatic Transmission ◽  
Transmission System ◽  
Research Project ◽  
The Earth ◽  
Meteorological Satellite ◽  
Canadian Research

The first real-time satellite photography of the earth was taken on April 1, 1960, when TIROS I, an experimental meteorological satellite, was launched from Cape Canaveral and took photos of the Gulf of St. Lawrence on its first orbit. This paper describes the satellite and its TV camera, discusses the combined U.S.-Canadian research project TIREC associated with it, and lists some of the uses of the satellite photographs that have been obtained — ice reconnaissance; cloud identification and heighting; spotting forest fires; applications to water resources, flood control, and conservation programs; prediction of locust swarms; and satellite photogrammetry for meteorological uses. The paper concludes with a description of the APT (automatic transmission system) used in TIROS VIII to give the first direct reception of a space picture in Canada.

scholarly journals A Deep Learning Approach to Downscale Geostationary Satellite Imagery for Decision Support in High Impact Wildfires

Forests ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 294
Author(s):  
Nicholas F. McCarthy ◽  
Ali Tohidi ◽  
Yawar Aziz ◽  
Matt Dennie ◽  
Mario Miguel Valero ◽  
...  
Keyword(s):  
Deep Learning ◽  
Decision Support ◽  
Real Time ◽  
Forest Fires ◽  
Wildland Fire ◽  
Fire Spread ◽  
Low Earth Orbit ◽  
Practical Implementation ◽  
Spatiotemporal Resolution ◽  
Active Fire

Scarcity in wildland fire progression data as well as considerable uncertainties in forecasts demand improved methods to monitor fire spread in real time. However, there exists at present no scalable solution to acquire consistent information about active forest fires that is both spatially and temporally explicit. To overcome this limitation, we propose a statistical downscaling scheme based on deep learning that leverages multi-source Remote Sensing (RS) data. Our system relies on a U-Net Convolutional Neural Network (CNN) to downscale Geostationary (GEO) satellite multispectral imagery and continuously monitor active fire progression with a spatial resolution similar to Low Earth Orbit (LEO) sensors. In order to achieve this, the model trains on LEO RS products, land use information, vegetation properties, and terrain data. The practical implementation has been optimized to use cloud compute clusters, software containers and multi-step parallel pipelines in order to facilitate real time operational deployment. The performance of the model was validated in five wildfires selected from among the most destructive that occurred in California in 2017 and 2018. These results demonstrate the effectiveness of the proposed methodology in monitoring fire progression with high spatiotemporal resolution, which can be instrumental for decision support during the first hours of wildfires that may quickly become large and dangerous. Additionally, the proposed methodology can be leveraged to collect detailed quantitative data about real-scale wildfire behaviour, thus supporting the development and validation of fire spread models.

Design Scheme and Simulation on Automatic Transmission Travel System of Engineering Vehicles Hydraulic Chassis

2010 ◽  
Vol 156-157 ◽  
pp. 137-141 ◽  
Author(s):  
Hui Xian Han ◽  
Pi Shun Ren ◽  
Xian Li Cao ◽  
Mao Fu Liu
Keyword(s):  
Control Strategy ◽  
Hydraulic System ◽  
Automatic Transmission ◽  
Travel Speed ◽  
Transmission System ◽  
Control Effect ◽  
Actual System ◽  
Virtual Test ◽  
Design Scheme ◽  
Software And Hardware

This study analysis the use requirement of engineering vehicles travel system, introduces the hydraulic system and the design scheme of automatic transmission system, discusses the control strategy and method of engineering vehicles travel speed, modeling and simulating based on the actual system software and hardware and the control Strategy and method of automatic transmission system, verifies the vehicle control effect through virtual test, and draws the full-text conclusion at last.

Real-Time Hydro-Mechanical Transmission System Simulations for Model-Guided Assessment of Complex Shift Sequence

2021 ◽  
Author(s):  
Yifeng Tang ◽  
Jason Rodgers ◽  
James McCallum ◽  
Yijing Zhang ◽  
Yuji Fujii
Keyword(s):  
Real Time ◽  
Transmission System ◽  
Mechanical Transmission ◽  
Shift Sequence

Dynamic Temperature Testing and Modeling for an Automatic Transmission Clutch

2001 ◽  
Author(s):  
Thomas DeMurry ◽  
Yanying Wang
Keyword(s):  
Experimental Data ◽  
Real Time ◽  
Automatic Transmission ◽  
Thermal Characteristics ◽  
Torque Converter ◽  
Telemetry System ◽  
Temperature Model ◽  
And Control ◽  
Good Agreement ◽  
Dynamometer Test

Abstract The primary objectives of this study are (1) to validate the hardware design and control methodologies for preserving the thermo-mechanical integrity of a launch clutch emulating a torque converter and (2) to develop a simple, control oriented clutch-temperature model that may act as a virtual thermocouple in the processor of an automobile for real-time clutch-temperature predictions. In a dynamometer test cell, a Ford CD4E transaxle is instrumented with a thermocouple-based telemetry system to investigate clutch thermal characteristics during engagements, neutral idle, single and repeated launching, torsional isolation, and hill holding. A nonlinear, SIMULINK™-based model for estimating temperature is developed. The results from the simulations are in good agreement with the experimental data.

Real-time IBFD transmission system based on adaptive optical self-interference cancellation using the hybrid criteria regular triangle algorithm

2021 ◽  
Vol 46 (5) ◽  
pp. 1069
Author(s):  
Zhiyi Zhang ◽  
Lizhuo Zheng ◽  
Shilin Xiao ◽  
Zhiyang Liu ◽  
Jiafei Fang ◽  
...  
Keyword(s):  
Real Time ◽  
Interference Cancellation ◽  
Transmission System ◽  
Regular Triangle
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