scholarly journals Bioengineering of archaeal flagella

2020 ◽  
Author(s):  
M. G. Pyatibratov ◽  
A. S. Syutkin ◽  
S. N. Beznosov ◽  
A. V. Galeva ◽  
S. Yu. Shchyogolev
Keyword(s):  
Haloferax Volcanii ◽  
Assembly System ◽  
Multifunctional Nanomaterials ◽  
Flagella Assembly

It was shown that the Haloferax volcanii flagella assembly system can accept alien flagellins and build functional recombinant flagella. The results can be used for targeted flagella modification to create multifunctional nanomaterials.

Assembly system ‘designed to promote flexibility’

1985 ◽  
Vol 64 (2) ◽  
pp. 22
Keyword(s):  
Assembly System

Nomenclature Abstract for Haloferax volcanii (Mullakhanbhai and Larsen 1975) Torreblanca et al. 1986.

2003 ◽  
Author(s):  
Charles Thomas Parker ◽  
Sarah Wigley ◽  
George M Garrity
Keyword(s):  
Haloferax Volcanii

Automatic Assembly System of Strain Gauge Based on Deviation Model

ROBOT ◽  
2013 ◽  
Vol 35 (5) ◽  
pp. 589
Author(s):  
Dechun ZHENG ◽  
Yongping ZHANG ◽  
Guojun LI
Keyword(s):  
Strain Gauge ◽  
Assembly System ◽  
Automatic Assembly

Pose algorithm and assembly system development on complex joints of steel structure

2015 ◽  
Author(s):  
J.J. Shou ◽  
Z.P. Chen ◽  
Q.Q. Zhou ◽  
Z.Y. Zhou ◽  
S. Mou ◽  
...  
Keyword(s):  
System Development ◽  
Steel Structure ◽  
Assembly System

Study of self-assembly system of norfloxacin molecularly imprinted polymers based on simulated design

2021 ◽  
Vol 140 (1) ◽  
Author(s):  
Xiaoshuang Wang ◽  
Wensi Zhao ◽  
Junbo Liu ◽  
Shanshan Tang ◽  
Ruifa Jin
Keyword(s):  
Molecularly Imprinted Polymers ◽  
Self Assembly ◽  
Assembly System ◽  
Molecularly Imprinted ◽  
Imprinted Polymers

scholarly journals Exploring the application of machine learning to the assembly line feeding problem

2021 ◽  
Author(s):  
Moretti Emilio ◽  
Tappia Elena ◽  
Limère Veronique ◽  
Melacini Marco
Keyword(s):  
Machine Learning ◽  
Assembly Line ◽  
Optimal Solution ◽  
Product Variety ◽  
Supervised Machine Learning ◽  
Assembly System ◽  
Optimization Approach ◽  
Feeding Problem ◽  
Managerial Implications ◽  
Multiple Feeding

AbstractAs a large number of companies are resorting to increased product variety and customization, a growing attention is being put on the design and management of part feeding systems. Recent works have proved the effectiveness of hybrid feeding policies, which consist in using multiple feeding policies in the same assembly system. In this context, the assembly line feeding problem (ALFP) refers to the selection of a suitable feeding policy for each part. In literature, the ALFP is addressed either by developing optimization models or by categorizing the parts and assigning these categories to policies based on some characteristics of both the parts and the assembly system. This paper presents a new approach for selecting a suitable feeding policy for each part, based on supervised machine learning. The developed approach is applied to an industrial case and its performance is compared with the one resulting from an optimization approach. The application to the industrial case allows deepening the existing trade-off between efficiency (i.e., amount of data to be collected and dedicated resources) and quality of the ALFP solution (i.e., closeness to the optimal solution), discussing the managerial implications of different ALFP solution approaches and showing the potential value stemming from machine learning application.

Triple-Modulated Chiral Inversion of Co-Assembly System Based on Alanine Amphiphile and Cyanostilbene Derivative

2021 ◽  
Author(s):  
Penghua Qin ◽  
Zhen Wu ◽  
Pengyu Li ◽  
Dian Niu ◽  
Minghua Liu ◽  
...  
Keyword(s):  
Assembly System ◽  
Chiral Inversion

scholarly journals Assembly system design in captive offshoring – A semi-systematic review of literature

Procedia CIRP ◽  
2021 ◽  
Vol 97 ◽  
pp. 313-318
Author(s):  
Peter Burggräf ◽  
Matthias Dannapfel ◽  
Tobias Adlon ◽  
Katharina Müller
Keyword(s):  
Systematic Review ◽  
System Design ◽  
Assembly System ◽  
Review Of Literature ◽  
Assembly System Design ◽  
Captive Offshoring
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