Verification of Real-Time Microbial Monitoring Technology Based on the Principle of Laser-Induced Fluorescence Under USP  Standard and Prospective Application in Our Hospital PIVAS Clean Room

2021 ◽  
Vol 28 (1) ◽  
Author(s):  
Zhou Geng ◽  
Wenbin Yang ◽  
Shubo Wei ◽  
Lin Wang ◽  
Jie Pan
Keyword(s):  
Real Time ◽  
Laser Induced Fluorescence ◽  
Clean Room ◽  
Monitoring Technology ◽  
Microbial Monitoring ◽  
Prospective Application

Research on Video Encryption and Privacy Protection in Cloud Monitoring System Based on H.264

2019 ◽  
Vol 12 ◽  
Author(s):  
Qingtao Wu ◽  
Zaihui Cao
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Video Data ◽  
Encryption Algorithm ◽  
Management Tool ◽  
Video Encryption ◽  
Wireless Multimedia ◽  
Monitoring Technology ◽  
Security Issues ◽  
Cloud Monitoring

: Cloud monitoring technology is an important maintenance and management tool for cloud platforms.Cloud monitoring system is a kind of network monitoring service, monitoring technology and monitoring platform based on Internet. At present, the monitoring system is changed from the local monitoring to cloud monitoring, with the flexibility and convenience improved, but also exposed more security issues. Cloud video may be intercepted or changed in the transmission process. Most of the existing encryption algorithms have defects in real-time and security. Aiming at the current security problems of cloud video surveillance, this paper proposes a new video encryption algorithm based on H.264 standard. By using the advanced FMO mechanism, the related macro blocks can be driven into different Slice. The encryption algorithm proposed in this paper can encrypt the whole video content by encrypting the FMO sub images. The method has high real-time performance, and the encryption process can be executed in parallel with the coding process. The algorithm can also be combined with traditional scrambling algorithm, further improve the video encryption effect. The algorithm selects the encrypted part of the video data, which reducing the amount of data to be encrypted. Thus reducing the computational complexity of the encryption system, with faster encryption speed, improve real-time and security, suitable for transfer through mobile multimedia and wireless multimedia network.

A novel FPGA-based system for real-time calculation of the Spectral Kurtosis: A prospective application to harmonic detection

Measurement ◽  
2016 ◽  
Vol 86 ◽  
pp. 101-113 ◽  
Author(s):  
Ángel Quirós-Olozábal ◽  
Juan-José González-de-la-Rosa ◽  
María-Ángeles Cifredo-Chacón ◽  
José-María Sierra-Fernández
Keyword(s):  
Real Time ◽  
Harmonic Detection ◽  
Spectral Kurtosis ◽  
Time Calculation ◽  
Prospective Application

Real-time monitoring technology in single-case experimental design research: Opportunities and challenges

2019 ◽  
Vol 117 ◽  
pp. 87-96 ◽  
Author(s):  
Kate H. Bentley ◽  
Evan M. Kleiman ◽  
Grace Elliott ◽  
Jeffery C. Huffman ◽  
Matthew K. Nock
Keyword(s):  
Experimental Design ◽  
Real Time ◽  
Design Research ◽  
Single Case ◽  
Real Time Monitoring ◽  
Monitoring Technology ◽  
Research Opportunities

Real-Time Monitoring Technology for Center Frequency of Single-Frequency Nanosecond Pulse Laser

2017 ◽  
Vol 44 (11) ◽  
pp. 1101003
Author(s):  
陈 晓 Chen Xiao ◽  
谢小兵 Xie Xiaobing ◽  
谢 伟 Xie Wei ◽  
李世光 Li Shiguang ◽  
马秀华 Ma Xiuhua ◽  
...  
Keyword(s):  
Real Time ◽  
Pulse Laser ◽  
Nanosecond Pulse ◽  
Single Frequency ◽  
Center Frequency ◽  
Real Time Monitoring ◽  
Monitoring Technology ◽  
Nanosecond Pulse Laser

scholarly journals Lag Time Remains with Newer Real-Time Continuous Glucose Monitoring Technology During Aerobic Exercise in Adults Living with Type 1 Diabetes

2019 ◽  
Vol 21 (6) ◽  
pp. 313-321 ◽  
Author(s):  
Dessi P. Zaharieva ◽  
Kamuran Turksoy ◽  
Sarah M. McGaugh ◽  
Rubin Pooni ◽  
Todd Vienneau ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Aerobic Exercise ◽  
Real Time ◽  
Continuous Glucose Monitoring ◽  
Glucose Monitoring ◽  
Lag Time ◽  
Monitoring Technology

Advances in Scientific Possibilities Offered by Real-Time Monitoring Technology

Psychiatry ◽  
2017 ◽  
Vol 80 (2) ◽  
pp. 118-124 ◽  
Author(s):  
Evan M. Kleiman ◽  
Matthew K. Nock
Keyword(s):  
Real Time ◽  
Real Time Monitoring ◽  
Monitoring Technology
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