scholarly journals Free Radicals: A Biocompatible Free Radical Nanogenerator with Real‐Time Monitoring Capability for High Performance Sequential Hypoxic Tumor Therapy (Adv. Funct. Mater. 39/2019)

2019 ◽  
Vol 29 (39) ◽  
pp. 1970266
Author(s):  
Yingpeng Wan ◽  
Guihong Lu ◽  
Jinfeng Zhang ◽  
Ziying Wang ◽  
Xiaozhen Li ◽  
...  
Keyword(s):  
Free Radicals ◽  
Free Radical ◽  
Real Time ◽  
High Performance ◽  
Tumor Therapy ◽  
Real Time Monitoring ◽  
Hypoxic Tumor

A Biocompatible Free Radical Nanogenerator with Real‐Time Monitoring Capability for High Performance Sequential Hypoxic Tumor Therapy

2019 ◽  
Vol 29 (39) ◽  
pp. 1903436 ◽  
Author(s):  
Yingpeng Wan ◽  
Guihong Lu ◽  
Jinfeng Zhang ◽  
Ziying Wang ◽  
Xiaozhen Li ◽  
...  
Keyword(s):  
Free Radical ◽  
Real Time ◽  
High Performance ◽  
Tumor Therapy ◽  
Real Time Monitoring ◽  
Hypoxic Tumor

Real-Time Imaging of Free Radicals for Mitochondria-Targeting Hypoxic Tumor Therapy

Nano Letters ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 6804-6811 ◽  
Author(s):  
Xiao-Qiang Wang ◽  
Mengyun Peng ◽  
Chu-Xin Li ◽  
Yu Zhang ◽  
Mingkang Zhang ◽  
...  
Keyword(s):  
Free Radicals ◽  
Real Time ◽  
Tumor Therapy ◽  
Real Time Imaging ◽  
Hypoxic Tumor ◽  
Mitochondria Targeting

Real-time monitoring of the oxidative response of a membrane–channel biomimetic system to free radicals

2013 ◽  
Vol 49 (59) ◽  
pp. 6584 ◽  
Author(s):  
Yu Liu ◽  
Yi-Lun Ying ◽  
Hai-Yan Wang ◽  
Chan Cao ◽  
Da-Wei Li ◽  
...  
Keyword(s):  
Free Radicals ◽  
Real Time ◽  
Real Time Monitoring ◽  
Membrane Channel ◽  
Oxidative Response

Telescope performance real-time monitoring based on machine learning

2020 ◽  
Vol 500 (1) ◽  
pp. 388-396
Author(s):  
Tian Z Hu ◽  
Yong Zhang ◽  
Xiang Q Cui ◽  
Qing Y Zhang ◽  
Ye P Li ◽  
...  
Keyword(s):  
Machine Learning ◽  
Real Time ◽  
System Performance ◽  
High Performance ◽  
High Efficiency ◽  
Peak Performance ◽  
Source Image ◽  
Detection Accuracy ◽  
Real Time Monitoring ◽  
Active Optics

ABSTRACT In astronomy, the demand for high-resolution imaging and high-efficiency observation requires telescopes that are maintained at peak performance. To improve telescope performance, it is useful to conduct real-time monitoring of the telescope status and detailed recordings of the operational data of the telescope. In this paper, we provide a method based on machine learning to monitor the telescope performance in real-time. First, we use picture features and the random forest algorithm to select normal pictures captured by the acquisition camera or science camera. Next, we cut out the source image of the picture and use convolutional neural networks to recognize star shapes. Finally, we monitor the telescope performance based on the relationship between the source image shape and telescope performance. Through this method, we achieve high-performance real-time monitoring with the Large Sky Area Multi-Object Fibre Spectroscopic Telescope, including guiding system performance, focal surface defocus, submirror performance, and active optics system performance. The ultimate performance detection accuracy can reach up to 96.7 per cent.

scholarly journals Author Correction: Carbon nanotube embedded adhesives for real-time monitoring of adhesion failure in high performance adhesively bonded joints

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Tadej Bregar ◽  
Donglan An ◽  
Somayeh Gharavian ◽  
Marek Burda ◽  
Isidro Durazo-Cardenas ◽  
...  
Keyword(s):  
Carbon Nanotube ◽  
Real Time ◽  
High Performance ◽  
Bonded Joints ◽  
Real Time Monitoring ◽  
Adhesively Bonded ◽  
Adhesively Bonded Joints ◽  
Adhesion Failure

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

scholarly journals Research on Real-Time Monitoring and Performance Optimization of Suspension System in Maglev Train

2021 ◽  
Vol 11 (24) ◽  
pp. 11952
Author(s):  
Xu Zhou ◽  
Tao Wen ◽  
Zhiqiang Long
Keyword(s):  
Real Time ◽  
Performance Optimization ◽  
High Performance ◽  
Suspension System ◽  
Control Performance ◽  
Real Time Monitoring ◽  
Maglev Train ◽  
Dynamic Compensator ◽  
And Performance ◽  
Residual Generator

With the success of the commercial operation of the maglev train, the demand for real-time monitoring and high-performance control of the maglev train suspension system is also increasing. Therefore, a framework for performance monitoring and performance optimization of the maglev train suspension system is proposed in this article. This framework consists of four parts: plant, feedback controller, residual generator, and dynamic compensator. Firstly, after the system model is established, the nominal controller is designed to ensure the stability of the system. Secondly, the observer-based residual generator is identified offline based on the input and output data without knowing the accurate model of the system, which avoids the interference of the unmodeled part. Thirdly, the control performance is monitored and evaluated in real time by analyzing the residual and executing the judgment logic. Fourthly, when the control performance of the system is degraded or not satisfactory, the dynamic compensator based on the residual is updated online iteratively to optimize the control performance. Finally, the proposed framework and theory are verified on the single suspension experimental platform and the results show the effectiveness.

High-performance transparent pressure sensors based on sea-urchin shaped metal nanoparticles and polyurethane microdome arrays for real-time monitoring

Nanoscale ◽  
2018 ◽  
Vol 10 (39) ◽  
pp. 18812-18820 ◽  
Author(s):  
Donghwa Lee ◽  
Jongyoun Kim ◽  
Honggi Kim ◽  
Hyojung Heo ◽  
Kyutae Park ◽  
...  
Keyword(s):  
Metal Nanoparticles ◽  
Real Time ◽  
Sea Urchin ◽  
High Performance ◽  
Pressure Sensors ◽  
Real Time Monitoring

High-performance transparent pressure sensors have been successfully fabricated using sea-urchin shaped metal nanoparticles and polyurethane microdome arrays for real-time monitoring.

Sign in / Sign up

Export Citation Format

Share Document