Analysis of abnormal running behavior of mechanical operators based on sensor detection

2021 ◽  
Author(s):  
Hongqi Luo ◽  
Xia Liu ◽  
Yongbao Wei
Keyword(s):  
Sensor Detection

Sol-Gel Optical Sensors for Glutamate

2000 ◽  
Vol 662 ◽  
Author(s):  
Jenna L. Rickus ◽  
Esther Lan ◽  
Allan J. Tobin ◽  
Jeffery I. Zink ◽  
Bruce Dunn
Keyword(s):  
Optical Sensors ◽  
Sol Gel ◽  
Kinetic Studies ◽  
Excitatory Neurotransmitter ◽  
Nadh Fluorescence ◽  
Millisecond Time Scale ◽  
Temporal And Spatial ◽  
Sensor Detection ◽  
The Brain ◽  
Amino Acid Glutamate

AbstractThe amino acid glutamate is the major excitatory neurotransmitter used in the nervous system for interneuronal communication. It is used throughout the brain by various neuronal pathways including those involved in learning and memory, locomotion, and sensory perception. Because glutamate is released from neurons on a millisecond time scale into sub-micrometer spaces, the development of a glutamate biosensor with high temporal and spatial resolution is of great interest for the study of neurological function and disease. Here, we demonstrate the feasibility of an optical glutamate sensor based on the sol-gel encapsulation of the enzyme glutamate dehydrogenase (GDH). GDH catalyses the oxidative deamination of glutamate and the reduction of NAD+ to NADH. NADH fluorescence is the basis of the sensor detection. Thermodynamic and kinetic studies show that GDH remains active in the sol-gel matrix and that the reaction rate is correlated to the glutamate concentration.

A Kind of Environment Monitoring System Used for Aircraft Fire Training Simulator

2013 ◽  
Vol 760-762 ◽  
pp. 1250-1253
Author(s):  
Chun Guo Fei ◽  
Jin Long Zhang ◽  
Tian Hao Liu ◽  
Hai Zhong Xu
Keyword(s):  
Monitoring System ◽  
Pid Controller ◽  
Closed Loop ◽  
Real Time Control ◽  
Training Simulator ◽  
Training Environment ◽  
Time Control ◽  
Sensor Detection ◽  
Training Efficiency ◽  
Command Center

Aircraft fire training simulators are key facilities in airport used for firefighters to do firefighting trainings. In order to protect the safety of firefighters, the monitoring system should be applied to monitor the internal environment of the simulator. In accordance with the requirements of the training environment, a kind of monitoring system based on MCU and GPRS communication components are built. The parameterized PID controller, the sensor detection module, the fan and spray drive module are consisted of closed-loop to achieve real-time control and regulation on the smoke and temperature of the internal simulator. Using GPRS module, the internal scenes of the simulator are sent to the command center through the information transmission system. Based on the information transported from training site, command center can take the appropriate training programs to guide firefighters. Use this system, the training safety is ensured and the training efficiency is improved at the same time.

scholarly journals Phosphatase activity tunes two-component system sensor detection threshold

2018 ◽  
Vol 9 (1) ◽  
Author(s):  
Brian P. Landry ◽  
Rohan Palanki ◽  
Nikola Dyulgyarov ◽  
Lucas A. Hartsough ◽  
Jeffrey J. Tabor
Keyword(s):  
Phosphatase Activity ◽  
Detection Threshold ◽  
Two Component System ◽  
Component System ◽  
Two Component ◽  
Sensor Detection

scholarly journals Optical Parameters Optimization for All-Time Star Sensor

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 2960
Author(s):  
Wang ◽  
Wei ◽  
Li ◽  
Du ◽  
Zhang
Keyword(s):  
High Altitude ◽  
Background Radiation ◽  
Imaging System ◽  
Model Simulation ◽  
Parameters Optimization ◽  
Sensor Technology ◽  
Optical Parameters ◽  
Star Sensor ◽  
Cost Constraints ◽  
Sensor Detection

As an important development direction of star sensor technology, the All-Time star sensor technology can expand the application of star sensors to flight platforms inside the atmosphere. Due to intense atmospheric background radiation during the daytime, the commonly used star sensors operating in the visible wavelength range are significantly limited in their ability to detect stars, and hence the All-Time star sensor technology which is based on the shortwave infrared (SWIR) imaging system has become an effective research direction. All-Time star sensor detection capability is significantly affected by observation conditions and, therefore, an optimized selection of optical parameters, which mainly includes the field of view (FOV) and the detection wavelength band, can effectively improve the detection performance of All-Time star sensors under harsh observation conditions. This paper uses the model simulation method to analyze and optimize the optical parameters under various observation conditions in a high-altitude environment. A main parameter among those discussed is the analysis of detection band optimization based on the SWIR band. Due to the huge cost constraints of high-altitude experiments, we conducted experiments near the ground to verify the effectiveness of the detection band selection and the correctness of the SWIR star sensor detection model, which thereby proved that the optimization of the optical parameters for high altitudes was effective and could be used as a reference.

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