On-line microfluidic sensor integrated with a micro array electrode and enzyme-modified pre-reactor for the real-time monitoring of blood catecholamine

2003 ◽  
Vol 5 (12) ◽  
pp. 1037-1042 ◽  
Author(s):  
K Hayashi
Keyword(s):  
Real Time ◽  
Real Time Monitoring ◽  
The Real ◽  
Array Electrode ◽  
Micro Array ◽  
On Line

Optimisation of SFE method on-line coupled to FT-IR spectroscopy for the real-time monitoring of the extraction of tagitinin C in T. diversifolia

2007 ◽  
Vol 40 (3) ◽  
pp. 368-375 ◽  
Author(s):  
E. Ziemons ◽  
N. Wandji Mbakop ◽  
E. Rozet ◽  
R. Lejeune ◽  
L. Angenot ◽  
...  
Keyword(s):  
Ir Spectroscopy ◽  
Real Time ◽  
Real Time Monitoring ◽  
The Real ◽  
On Line ◽  
Ft Ir ◽  
Ft Ir Spectroscopy

On-line, real time monitoring of exhaled trace gases by SIFT-MS in the perioperative setting: a feasibility study

The Analyst ◽  
2011 ◽  
Vol 136 (16) ◽  
pp. 3233 ◽  
Author(s):  
Piers R. Boshier ◽  
Julia R. Cushnir ◽  
Vikash Mistry ◽  
Alison Knaggs ◽  
Patrik Španěl ◽  
...  
Keyword(s):  
Real Time ◽  
Feasibility Study ◽  
Trace Gases ◽  
Real Time Monitoring ◽  
On Line

The Real-Time Prediction of Surface Roughness Based on Genetic Wavelet Network

2010 ◽  
Vol 102-104 ◽  
pp. 610-614 ◽  
Author(s):  
Jun Chi ◽  
Lian Qing Chen
Keyword(s):  
Surface Roughness ◽  
Real Time ◽  
Back Propagation ◽  
Cutting Parameters ◽  
Wavelet Network ◽  
Back Propagation Algorithm ◽  
The Real ◽  
Roughness Model ◽  
On Line ◽  
Artificial Network

A methodology based on relax-type wavelet network was proposed for predicting surface roughness. After the influencing factors of roughness model were analyzed and the modified wavelet pack algorithm for signal filtering was discussed, the structure of artificial network for prediction was developed. The real-time forecast on line was achieved by the nonlinear mapping and learning mechanism in Elman algorithm based on the vibration acceleration and cutting parameters. The weights in network were optimized using genetic algorithm before back-propagation algorithm to reduce learning time.The validation of this methodology is carried out for turning aluminum and steel in the experiments and its prediction error is measured less than 3%.

scholarly journals Real-time monitoring of crystallization from solution by using an interdigitated array electrode sensor

2021 ◽  
Author(s):  
Jincheng Tong ◽  
Amadou Doumbia ◽  
Michael L. Turner ◽  
Cinzia Casiraghi
Keyword(s):  
Real Time ◽  
Temporal Resolution ◽  
Organic Molecules ◽  
Real Time Monitoring ◽  
Array Electrode ◽  
Electrode Sensor ◽  
Crystallization Dynamics ◽  
Interdigitated Array ◽  
Crystallization From Solution ◽  
Interdigitated Array Electrode

An Interdigitated array Electrode sensor (IES) is used for real-time monitoring of the crystallization dynamics of organic molecules, achieving a temporal resolution of 15 ms.

Observing the real time formation of phosphine-ligated gold clusters by electrospray ionization mass spectrometry

2017 ◽  
Vol 19 (26) ◽  
pp. 17187-17198 ◽  
Author(s):  
Marshall R. Ligare ◽  
Grant E. Johnson ◽  
Julia Laskin
Keyword(s):  
Mass Spectrometry ◽  
Electrospray Ionization ◽  
Real Time ◽  
Electrospray Ionization Mass Spectrometry ◽  
Gold Cluster ◽  
Gold Clusters ◽  
Ionization Mass Spectrometry ◽  
Ionization Mass ◽  
Real Time Monitoring ◽  
The Real

Real-time monitoring of the gold cluster synthesis by electrospray ionization mass spectrometry reveals distinct formation pathways for Au8, Au9 and Au10 clusters.

scholarly journals A Study of Detecting Broken Rail using the Real-time Monitoring System

2013 ◽  
Vol 28 (4) ◽  
pp. 1-7
Author(s):  
Tae Geon Kim ◽  
Beom Gyu Eom ◽  
Hi Sung Lee
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Real Time Monitoring ◽  
The Real

A Novel Hash Chain-Based Data Availability Monitoring Method for Off-site Disaster Recovery Architecture

2021 ◽  
pp. 2150294
Author(s):  
Neng Huang ◽  
Junxing Zhu ◽  
Chaonian Guo ◽  
Shuhan Cheng ◽  
Xiaoyong Li
Keyword(s):  
Information Systems ◽  
Real Time ◽  
Data Center ◽  
Disaster Recovery ◽  
Distributed Storage ◽  
Data Availability ◽  
Data Consistency ◽  
Real Time Monitoring ◽  
The Real ◽  
Hash Chain

With the rapid development of mobile Internet, there is a higher demand for the real-time, reliability and availability of information systems and to prevent the possible systemic risks of information systems, various business consistency standards and regulatory guidelines have been published, such as Recovery Time Object (RTO) and Recovery Point Object (RPO). Some of the current related researches focus on the standards, methods, management tools and technical frameworks of business consistency, while others study the data consistency algorithms in the cases of large data, cloud computing and distributed storage. However, few researchers have studied on how to monitor the data consistency and RPO of production-disaster recovery, and what architecture and technology should be applied in the monitoring. Moreover, in some information systems, due to the complex structures and distributions of data, it is difficult for traditional methods to quickly detect and accurately locate the first error data. Besides, due to the separation of production data center (PDC) and disaster recovery data center (DRDC), it is difficult to calculate the data difference and RPO between the two centers. This paper first discusses the architecture of remote distributed DRDCs. The architecture can make the disaster recovery (DR) system always online and the data always readable, and support the real-time monitoring of data availability, consistency as well as other related indicators, in this way to make DRDC out-of-the-box in disasters. Second, inspired by blockchain, this paper proposes a method to realize real-time monitoring of data consistency and RTO by building hash chains for PDC and DRDC. Third, this paper evaluates the hash chain operations from the algorithm time complexity, the data consistency, and the validity of RPO monitoring algorithms and since DR system is actually a kind of distributed system, the proposed approach can also be applied to the data consistency detection and data difference monitoring in other distributed systems.

An automated apparatus for the real-time monitoring of bioluminescence in plants

2005 ◽  
Vol 340 (2) ◽  
pp. 187-192 ◽  
Author(s):  
Kazuhisa Okamoto ◽  
Kiyoshi Onai ◽  
Norihiko Ezaki ◽  
Toru Ofuchi ◽  
Masahiro Ishiura
Keyword(s):  
Real Time ◽  
Real Time Monitoring ◽  
The Real
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