Quantitative measurement of disturbances based on optical-fibre multiparameter optimization method

Measurement ◽  
2021 ◽  
pp. 110279
Author(s):  
Tianjiao Ma ◽  
Qian Feng ◽  
Zuocai Zhang ◽  
Yabin Liang ◽  
Ming Tang
1988 ◽  
Vol 26 (2) ◽  
pp. 225-227 ◽  
Author(s):  
V. Barbaro ◽  
P. Bartolini ◽  
M. del Guercio ◽  
E. Rispoli

2020 ◽  
Vol 36 (13) ◽  
pp. 4093-4094
Author(s):  
Robin Winter ◽  
Joren Retel ◽  
Frank Noé ◽  
Djork-Arné Clevert ◽  
Andreas Steffen

Abstract Summary Optimizing small molecules in a drug discovery project is a notoriously difficult task as multiple molecular properties have to be considered and balanced at the same time. In this work, we present our novel interactive in silico compound optimization platform termed grünifai to support the ideation of the next generation of compounds under the constraints of a multiparameter objective. grünifai integrates adjustable in silico models, a continuous representation of the chemical space, a scalable particle swarm optimization algorithm and the possibility to actively steer the compound optimization through providing feedback on generated intermediate structures. Availability and implementation Source code and documentation are freely available under an MIT license and are openly available on GitHub (https://github.com/jrwnter/gruenifai). The backend, including the optimization method and distribution on multiple GPU nodes is written in Python 3. The frontend is written in ReactJS.


2014 ◽  
Vol 852 ◽  
pp. 735-739
Author(s):  
Rong Zhang

This paper focuses on the frame optimization method for evaluation of the hole group position error principle, a detailed description of the hole group position error the importance of theory in practical applications, mathematical model established the assessment hole group position error, and the preparation for solving the hole group position error C language program, computer measurement data processing and optimization.The proposed method to solve the quantitative measurement and evaluation of the position error, should be widely applied.


Author(s):  
William A. Heeschen

Two new morphological measurements based on digital image analysis, CoContinuity and CoContinuity Balance, have been developed and implemented for quantitative measurement of morphology in polymer blends. The morphology of polymer blends varies with phase ratio, composition and processing. A typical morphological evolution for increasing phase ratio of polymer A to polymer B starts with discrete domains of A in a matrix of B (A/B < 1), moves through a cocontinuous distribution of A and B (A/B ≈ 1) and finishes with discrete domains of B in a matrix of A (A/B > 1). For low phase ratios, A is often seen as solid convex particles embedded in the continuous B phase. As the ratio increases, A domains begin to evolve into irregular shapes, though still recognizable as separate domains. Further increase in the phase ratio leads to A domains which extend into and surround the B phase while the B phase simultaneously extends into and surrounds the A phase.


2005 ◽  
Vol 25 (1_suppl) ◽  
pp. S670-S670
Author(s):  
Katsufumi Kajimoto ◽  
Naohiko Oku ◽  
Yasuyuki Kimura ◽  
Makiko Tanaka ◽  
Hiroki Kato ◽  
...  

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