This study presents a developed ultrasonic water level detection (UWLD) system with an energy-efficient design and dual-target monitoring. The water level monitoring system with a non-contact sensor is one of the suitable methods since it is not directly exposed to water. In addition, a web-based monitoring system using a cloud computing platform is a well-known technique to provide real-time water level monitoring. However, the long-term stable operation of remotely communicating units is an issue for real-time water level monitoring. Therefore, this paper proposes a UWLD unit using a low-power consumption design for renewable energy harvesting (e.g., solar) by controlling the unit with dual microcontrollers (MCUs) to improve the energy efficiency of the system. In addition, dual targeting to the pavement and streamside is uniquely designed to monitor both the urban inundation and stream overflow. The real-time water level monitoring data obtained from the proposed UWLD system is analyzed with water level changing rate (WLCR) and water level index. The quantified WLCR and water level index with various sampling rates present a different sensitivity to heavy rain.
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http://dx.doi.org/10.3390/s21062241 | DOI Listing |
J Occup Environ Hyg
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Suganthi Devadason Marine Research Institute, Tuticorin, Tamil Nadu, India.
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Institute of Soil and Water Conservation, Northwest A&F University, Yangling 712100, China.
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National High Magnetic Field Laboratory Geochemistry Group and Department of Earth, Ocean, and Atmospheric Science, Florida State University, Tallahassee, Florida 32306, United States.
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Departments of Medicine, Stanford University and VA Palo Alto HCS, Palo Alto CA USA.
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College of Animal Sciences, Anhui Science and Technology University, Fengyang, 233100, China.
This study was aim to investigate the effects of lipoic acid (ALA) on performance, meat quality, serum biochemistry and antioxidant function of broilers under heat stress (HS). Two hundred1-day-old Cobb broilers were randomly divided into four treatment groups and each treatment consisted of 4 replicates of 10 broilers each. The treatment group adopts a 2 × 2 two-factor setting, which is divided into two diets (basic diet or 250 mg/kg ALA diet) and two temperatures (24 ± 1℃ or 33 ± 1℃).
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