A novel Bi-based crystalline molecular material: fluorescence response of the high efficient detection and recognition of the organic amines and white luminescence tuning

2021 ◽  
Vol 1228 ◽  
pp. 129723
Author(s):  
Rong Huo ◽  
Ying Sun ◽  
Yong Heng Xing ◽  
Feng Ying Bai ◽  
Li Xian Sun
2020 ◽  
Vol 16 (10) ◽  
pp. 155014772096133
Author(s):  
Jianhua Wang ◽  
Bang Ji ◽  
Feng Lin ◽  
Shilei Lu ◽  
Yubin Lan ◽  
...  

Quickly detecting related primitive events for multiple complex events from massive event stream usually faces with a great challenge due to their single pattern characteristic of the existing complex event detection methods. Aiming to solve the problem, a multiple pattern complex event detection scheme based on decomposition and merge sharing is proposed in this article. The achievement of this article lies that we successfully use decomposition and merge sharing technology to realize the high-efficient detection for multiple complex events from massive event streams. Specially, in our scheme, we first use decomposition sharing technology to decompose pattern expressions into multiple subexpressions, which can provide many sharing opportunities for subexpressions. We then use merge sharing technology to construct a multiple pattern complex events by merging sharing all the same prefix, suffix, or subpattern into one based on the above decomposition results. As a result, our proposed detection method in this article can effectively solve the above problem. The experimental results show that the proposed detection method in this article outperforms some general detection methods in detection model and detection algorithm in multiple pattern complex event detection as a whole.


2020 ◽  
Vol 16 ◽  
Author(s):  
Vallidevi Krishnamurthy ◽  
Kannappan Panchamoorthy Gopinath ◽  
Ganeshraj Vanathi ◽  
Suresh Ganapathy Shivanirudh

Background: Nanoparticle has become an important part of many modern scientific technologies. Also, there are many naturally occurring nanoparticle that play important role in various natural and synthetic processes. Detection of these nanoparticles is expensive and challenging. This review paper explains in detail about various sensor based methods used in detection of nanoparticles. Methodology: Sensor based analytical techniques are more accurate than other techniques. Nanoparticles may occur in air, water, solid surface and human or other living organisms’ physical environments. The detection methods include spectroscopic techniques, electrochemical methods, microcativities and microlasers based detection, optical techniques and many other high sensitive methods. All these methods and their principles are explained in this study. The importance and the ill effects of the nano particles are explained in this article. Further, the detection of a particular single nano particle is also discussed. Conclusions: The detailed comparative analysis of these methods showed that sensor based methods is highly efficient in detection of nanoparticles. The further research in this field may introduce many cost effective and high efficient detection techniques that would revolutionize the medical and other application fields.


RSC Advances ◽  
2017 ◽  
Vol 7 (17) ◽  
pp. 10592-10600 ◽  
Author(s):  
Yoodae Song ◽  
Damsol Cho ◽  
Sada Venkateswarlu ◽  
Minyoung Yoon

A new Cu nanoparticles embedded porous carbon composite was prepared by simple pyrolysis of HKUST-1, which shows high efficient (detection limit: 3.2 × 10−9 M) glucose sensing ability with high selectivity.


2012 ◽  
Vol 733 ◽  
pp. 330-333
Author(s):  
Xiao Pan Jiang ◽  
Xing Zhong Cao ◽  
Run Sheng Yu ◽  
Zhuo Xin Li ◽  
Peng Zhang ◽  
...  

The positronium time of flight (Ps-TOF) spectroscopy is a novel technique for studying the microstructure in porous materials, in which the high-efficient detection of γ rays generated from ortho-positronium annihilation is the key point for the apparatus setup. In this paper, a new geometry of the scintillator was proposed to improve the γ ray detection efficiency which was indicated by the 22.1% promotion using the simulation results.


2011 ◽  
Vol 95 (1) ◽  
pp. 52-73 ◽  
Author(s):  
Syed M. S. Islam ◽  
Rowan Davies ◽  
Mohammed Bennamoun ◽  
Ajmal S. Mian

2020 ◽  
Vol 531 ◽  
pp. 147342 ◽  
Author(s):  
Hongming He ◽  
Shu-Qi Wang ◽  
Zhang-Ye Han ◽  
Xin-Hua Tian ◽  
Wen-Wen Zhang ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document