Predicting the launch and on-orbit performance of a peripheral driven filter wheel for geosynchronous satellite remote sensors

2019 ◽  
Vol 90 (12) ◽  
pp. 124501
Author(s):  
Yue Wang ◽  
Shiqi Li ◽  
Heng Zhang
Keyword(s):  
Geosynchronous Satellite ◽  
Remote Sensors ◽  
Filter Wheel

Evaluation of Remote Sensors: Comparing and Contrasting Accuracies

2007 ◽  
Author(s):  
Lorin M. Mueller ◽  
Kathleen G. Perez-Lopez ◽  
Tracy E. Costigan ◽  
Jennifer King
Keyword(s):  
Remote Sensors

DC arcjet system for north-south station keeping of geosynchronous satellite

1987 ◽  
Author(s):  
HIROSHI SUZUKI ◽  
KOICHI MIYOSHI ◽  
TAKAO YOSHIKAWA ◽  
RYUICHI NAGASHIMA
Keyword(s):  
Station Keeping ◽  
Geosynchronous Satellite

Land evaluation studies with remote sensors in the infrared and radar regions

1968 ◽  
Author(s):  
David S. Simonett
Keyword(s):  
Evaluation Studies ◽  
Land Evaluation ◽  
Remote Sensors

scholarly journals DEVELOPMENT OF THE MONTHLY AVERAGE DAILY SOLAR RADIATION MAP USING A-CBR, FEM, AND KRIGING METHOD

2017 ◽  
Vol 24 (2) ◽  
pp. 489-512 ◽  
Author(s):  
Choongwan KOO ◽  
Taehoon HONG ◽  
Kwangbok JEONG ◽  
Jimin KIM
Keyword(s):  
Solar Radiation ◽  
Decision Makers ◽  
Estimation Accuracy ◽  
Case Based Reasoning ◽  
Final Decision ◽  
Kriging Method ◽  
Pv System ◽  
Fem Model ◽  
Remote Sensors ◽  
Monthly Average

Photovoltaic (PV) system could be implemented to mitigate global warming and lack of energy. To maximize its effectiveness, the monthly average daily solar radiation (MADSR) should be accurately estimated, and then an accurate MADSR map could be developed for final decision-makers. However, there is a limitation in improving the accuracy of the MADSR map due to the lack of weather stations. This is because it is too expensive to measure the actual MADSR data using the remote sensors in all the sites where the PV system would be installed. Thus, this study aimed to develop the MADSR map with improved estimation accuracy using the advanced case-based reasoning (A-CBR), finite element method (FEM), and kriging method. This study was conducted in four steps: (i) data collection; (ii) estimation of the MADSR data in the 54 unmeasured locations using the A-CBR model; (iii) estimation of the MADSR data in the 89 unmeasured locations using the FEM model; and (iv) development of the MADSR map using the kriging method. Compared to the previous MADSR map, the proposed MADSR map was determined to be improved in terms of its estimation accuracy and classification level.

Application of multiplatform, multispectral remote sensors for mapping intertidal macroalgae: A comparative approach

2020 ◽  
Vol 30 (8) ◽  
pp. 1595-1612 ◽  
Author(s):  
Thomas Rossiter ◽  
Thomas Furey ◽  
Timothy McCarthy ◽  
Dagmar B. Stengel
Keyword(s):  
Comparative Approach ◽  
Remote Sensors

scholarly journals Night-Time Monitoring System (eNightLog) for Elderly Wandering Behavior

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 704
Author(s):  
James Chung-Wai Cheung ◽  
Eric Wing-Cheong Tam ◽  
Alex Hing-Yin Mak ◽  
Tim Tin-Chun Chan ◽  
Will Po-Yan Lai ◽  
...  
Keyword(s):  
Monitoring System ◽  
Challenging Behavior ◽  
Physical Restraint ◽  
Psychological Impact ◽  
The Elderly ◽  
Community Dwelling ◽  
Behavioral Disorder ◽  
Night Time ◽  
Remote Sensors ◽  
Accuracy And Precision

Wandering is a common behavioral disorder in the community-dwelling elderly. More than two-thirds of caregivers believe that wandering would cause falls. While physical restraint is a common measure to address wandering, it could trigger challenging behavior in approximately 80% of the elderly with dementia. This study aims to develop a virtual restraint using a night monitoring system (eNightLog) to provide a safe environment for the elderly and mitigate the caregiver burden. The eNightLog system consisted of remote sensors, including a near infra-red 3D time-of-flight sensor and ultrawideband sensors. An alarm system was controlled by customized software and algorithm based on the respiration rate and body posture of the elderly. The performance of the eNightLog system was evaluated in both single and double bed settings by comparing to that of a pressure mat and an infrared fence system, under simulated bed-exiting scenarios. The accuracy and precision for the three systems were 99.0%, 98.8%, 85.9% and 99.2%, 97.8%, 78.6%, respectively. With higher accuracy, precision, and a lower false alarm rate, eNightLog demonstrated its potential as an alternative to physical restraint to remedy the workload of the caregivers and the psychological impact of the elderly.

scholarly journals Possibilities and Limitations for Quantitative Precipitation Forecasts Using Nowcasting Methods with Infrared Geosynchronous Satellite Imagery

2002 ◽  
Vol 41 (7) ◽  
pp. 763-785 ◽  
Author(s):  
Andrew M. E. Grose ◽  
Eric A. Smith ◽  
Hyo-Sang Chung ◽  
Mi-Lim Ou ◽  
Byung-Ju Sohn ◽  
...  
Keyword(s):  
Satellite Imagery ◽  
Geosynchronous Satellite ◽  
Quantitative Precipitation Forecasts

Remote sensors - A new data source for agricultural statistics

1970 ◽  
Author(s):  
E. HOUSEMAN
Keyword(s):  
Remote Sensors ◽  
Data Source
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