Technical Testing of the Wristwatch Size Automatic Physiological and Environmental Monitor (WAPEM): Laboratory and Outdoor Evaluations of Environmental Sensors Performance

2004 ◽  
Author(s):  
Daniel S. Moran ◽  
Richard R. Gonzalez ◽  
Larry G. Berglund ◽  
Margaret A. Kolka
Keyword(s):  
Environmental Sensors

scholarly journals Review on advances in microcrystalline, nanocrystalline and ultrananocrystalline diamond films-based micro/nano-electromechanical systems technologies

2021 ◽  
Vol 56 (12) ◽  
pp. 7171-7230
Author(s):  
Orlando Auciello ◽  
Dean M. Aslam
Keyword(s):  
Materials Science ◽  
Positive Impact ◽  
Diamond Films ◽  
Energy Generation ◽  
Nanoelectromechanical Systems ◽  
Environmental Sensors ◽  
Implantable Biosensors ◽  
Ultrananocrystalline Diamond ◽  
Film Synthesis ◽  
New Generation

AbstractA comprehensive review is presented on the advances achieved in past years on fundamental and applied materials science of diamond films and engineering to integrate them into new generations of microelectromechanical system (MEMS) and nanoelectromechanical systems (NEMS). Specifically, the review focuses on describing the fundamental science performed to develop thin film synthesis processes and the characterization of chemical, mechanical, tribological and electronic properties of microcrystalline diamond, nanocrystalline diamond and ultrananocrystalline diamond films technologies, and the research and development focused on the integration of the diamond films with other film-based materials. The review includes both theoretical and experimental work focused on optimizing the films synthesis and the resulting properties to achieve the best possible MEMS/NEMS devices performance to produce new generation of MEMS/NEMS external environmental sensors and energy generation devices, human body implantable biosensors and energy generation devices, electron field emission devices and many more MEMS/NEMS devices, to produce transformational positive impact on the way and quality of life of people worldwide.

A current meter with intelligent data system, environmental sensors and real-time telemetry

1990 ◽  
Author(s):  
J.D. Irish ◽  
G.J. Needell ◽  
K. Morey ◽  
J. Wood ◽  
K.C. Baldwin
Keyword(s):  
Real Time ◽  
Data System ◽  
Environmental Sensors ◽  
A Current

Plants and Environmental Sensors for Smart Agriculture, an Overview

2020 ◽  
Author(s):  
Umberto Garlando ◽  
Lee Bar-On ◽  
Adi Avni ◽  
Yosi Shacham-Diamand ◽  
Danilo Demarchi
Keyword(s):  
Environmental Sensors ◽  
Smart Agriculture

New perspectives on IL-33 and IL-1 family cytokines as innate environmental sensors

2018 ◽  
Vol 46 (5) ◽  
pp. 1345-1353 ◽  
Author(s):  
Ian C. Scott ◽  
D. Gareth Rees ◽  
E. Suzanne Cohen
Keyword(s):  
Immune Responses ◽  
Allergic Inflammation ◽  
Proteolytic Processing ◽  
Innate Immune ◽  
Environmental Sensors ◽  
Biological Functions ◽  
Soluble Receptors ◽  
Direct Sensing ◽  
Proteolytic Activities

Interleukin (IL)-1 family cytokines are important initiators of innate immunity and host defence; however, their uncontrolled activities can cause tissue-damaging inflammation. Consequently, IL-1 family cytokines have sophisticated regulatory mechanisms to control their activities including proteolytic processing for their activation and the deployment of soluble receptors and receptor antagonists to limit their activities. IL-33 is a promoter of type 2 immunity and allergic inflammation through its alarmin activity that can rapidly initiate local immune responses by stimulating innate immune cells following exposure to environmental insults, pathogens, or sterile injury. Recent publications have provided new insights into how the range and duration of IL-33 activity is regulated by direct sensing of host-derived and exogenous proteolytic activities as well as oxidative changes during tissue damage. Here, we discuss how this impacts our understanding of the roles of IL-33 in initiating immune responses and the evidence that these sensing mechanisms might regulate the activities of other IL-1 family cytokines and their biological functions. Finally, we discuss translational challenges these discoveries pose for the accurate detection of different forms of these cytokines.

scholarly journals Adaptive sensing scheme using naive Bayes classification for environment monitoring with drone

2018 ◽  
Vol 14 (1) ◽  
pp. 155014771875603 ◽  
Author(s):  
Yao-Hua Ho ◽  
Yu-Te Huang ◽  
Hao-Hua Chu ◽  
Ling-Jyh Chen
Keyword(s):  
Environmental Changes ◽  
Naive Bayes ◽  
Cost Effective ◽  
Parameter Tuning ◽  
Naïve Bayes ◽  
Spatial Distance ◽  
Environmental Sensors ◽  
Adaptive Sensing ◽  
Naive Bayes Classification ◽  
Naïve Bayes Classification

Environmental sensors are important for collecting data to understand environmental changes and analyze environmental issues. In order to effectively monitor environmental changes, high-density sensor deployment and evenly distributed spatial distance between sensors become the requirements and desired properties for such applications. In many applications, sensors are deployed in locations that are difficult and dangerous to reach (e.g. mountaintop or skyscraper roof). To collect data from those sensors, unmanned aerial vehicles are used to act as data mules to overcome the problem of collecting data in challenging environments. In this article, we extend the adaptive return-to-home sensing algorithm with a parameter-tuning algorithm that combines naive Bayes classification and binary search to adapt adaptive return-to-home sensing parameters effectively on the fly. The proposed approach is able to (1) optimize number of sensing attempts, (2) reduce oscillation of the distance for consecutive attempts, and (3) reserve enough power for drone to return-to-home. Our results show that the naive Bayes classification–enhanced adaptive return-to-home sensing scheme is able to avoid oscillation in sensing and guarantees return-to-home feature while behaving more cost-effective in parameter tuning than the other machine learning–based approaches.

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