An Architecture for Real Time Data Acquisition and Online Signal Processing for High Throughput Tandem Mass Spectrometry

Author(s):  
Anuj R. Shah ◽  
Navdeep Jaitly ◽  
Nino Zuljevic ◽  
Matthew E. Monroe ◽  
Andrei Liyu ◽  
...  
2017 ◽  
Vol 35 (2) ◽  
pp. 185 ◽  
Author(s):  
Xiaoming GONG ◽  
Ronghui MA ◽  
Hongtao WANG ◽  
Liqiang GUO ◽  
Kai LI ◽  
...  

J ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 147-153
Author(s):  
Paula Morella ◽  
María Pilar Lambán ◽  
Jesús Antonio Royo ◽  
Juan Carlos Sánchez

Among the new trends in technology that have emerged through the Industry 4.0, Cyber Physical Systems (CPS) and Internet of Things (IoT) are crucial for the real-time data acquisition. This data acquisition, together with its transformation in valuable information, are indispensable for the development of real-time indicators. Moreover, real-time indicators provide companies with a competitive advantage over the competition since they enhance the calculus and speed up the decision-making and failure detection. Our research highlights the advantages of real-time data acquisition for supply chains, developing indicators that would be impossible to achieve with traditional systems, improving the accuracy of the existing ones and enhancing the real-time decision-making. Moreover, it brings out the importance of integrating technologies 4.0 in industry, in this case, CPS and IoT, and establishes the main points for a future research agenda of this topic.


2021 ◽  
pp. 130060
Author(s):  
Fabio Mazzotti ◽  
Lucia Bartella ◽  
Ines Rosita Talarico ◽  
Anna Napoli ◽  
Leonardo Di Donna

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