Lyophilization Process Design and Development Using QbD Principles

Author(s):  
Sajal M. Patel ◽  
Feroz Jameel ◽  
Samir U. Sane ◽  
Madhav Kamat
2014 ◽  
Vol 18 (11) ◽  
pp. 1391-1399 ◽  
Author(s):  
Sze-Wing Wong ◽  
K. Derek Berglund ◽  
Shekhar K. Viswanath

Author(s):  
Edward B. Magrab ◽  
Satyandra K. Gupta ◽  
F. Patrick McCluskey ◽  
Peter Sandborn

2020 ◽  
Author(s):  
Timokleia Togkalidou ◽  
Rudiyanto Gunawan ◽  
Mitsuko Fujiwara ◽  
Jr., J. Carl Pirkle ◽  
Eric Hukkanen ◽  
...  

Author(s):  
Sergey Lebedev ◽  
Michail Panteleyev

An ontology-driven approach to software design and development of situation assessment systems (SAS) for IoT applications is considered. As SAS is used to build the situational model for the external environment, it highly depends on the operational domain. To simplify the transition from the domain description to SAS dataflow process the ontology-driven approach is proposed. The main idea of the approach is to explicitly formalize SAS dataflow process in an ontological form. For this purpose, a domain-independent SAS ontology is proposed that allows automation of the dataflow process design. The dataflow process ontology is used to automate development and runtime stages of SAS lifecycle. The proposed ontology is included into the proposed instrument set. The set can be used to build SAS systems for different domains described with OWL ontology. The set is evaluated on a traffic control scenario.


2016 ◽  
Vol 11 (3) ◽  
pp. 200-213 ◽  
Author(s):  
Wei Chen ◽  
Xiaodong Chen ◽  
Rajesh Gandhi ◽  
Rao V. Mantri ◽  
Vikram Sadineni ◽  
...  

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