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

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.

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

Aquatic Conservation Marine and Freshwater Ecosystems ◽

10.1002/aqc.3357 ◽

2020 ◽

Vol 30 (8) ◽

pp. 1595-1612 ◽

Cited By ~ 1

Author(s):

Thomas Rossiter ◽

Thomas Furey ◽

Timothy McCarthy ◽

Dagmar B. Stengel

Keyword(s):

Comparative Approach ◽

Remote Sensors

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

Sensors ◽

10.3390/s21030704 ◽

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.

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