Traditional vortex beam parameter determination methods are all designed for aberration-free vortex beams.In the case of aberrations and turbulence,they tend to struggle in mutual restraint between phase recovery and ...Traditional vortex beam parameter determination methods are all designed for aberration-free vortex beams.In the case of aberrations and turbulence,they tend to struggle in mutual restraint between phase recovery and topological charge(TC)detection.Most recent methods depend on complex interferometric setups and precise phase singularity localization.An iterative virtual Moiréreconstruction(IVMR)technique is proposed based on the blind conformal mapping,achieving simultaneous demodulation of TC and phase from a single-frame aberrated interferogram,not needing precise phase singularity positioning.展开更多
The factors like production accuracy and completion time are the determinants of the optimal scheduling of the complex products work-flow,so the main research direction of modern work-flow technology is how to assure ...The factors like production accuracy and completion time are the determinants of the optimal scheduling of the complex products work-flow,so the main research direction of modern work-flow technology is how to assure the dynamic balance between the factors.Based on the work-flow technology,restraining the completion time,and analyzing the deficiency of traditional minimum critical path algorithm,a virtual iterative reduction algorithm(VIRA)was proposed,which can improve production accuracy effectively with time constrain.The VIRA with simplification as the core abstracts a virtual task that can predigest the process by combining the complex structures which are cyclic or parallel,finally,by using the virtual task and the other task in the process which is the iterative reduction strategy,determines a path which can make the production accuracy and completion time more balanced than the minimum critical path algorithm.The deadline,the number of tasks,and the number of cyclic structures were used as the factors affecting the performance of the algorithm,changing the influence factors can improve the performance of the algorithm effectively through the analysis of detailed data.Consequently,comparison experiments proved the feasibility of the VIRA.展开更多
基金National Natural Science Foundation of China(52275515)National Key Research and Development Program of China(2024YFE03000200)Open Funding of Magnetic Confinement Fusion Laboratory of Modern Manufacturing Quality Engineering(K13092055)。
文摘Traditional vortex beam parameter determination methods are all designed for aberration-free vortex beams.In the case of aberrations and turbulence,they tend to struggle in mutual restraint between phase recovery and topological charge(TC)detection.Most recent methods depend on complex interferometric setups and precise phase singularity localization.An iterative virtual Moiréreconstruction(IVMR)technique is proposed based on the blind conformal mapping,achieving simultaneous demodulation of TC and phase from a single-frame aberrated interferogram,not needing precise phase singularity positioning.
基金supported by the Heilongjiang Provincial Natural Science Foundation of China(LH2021F030)。
文摘The factors like production accuracy and completion time are the determinants of the optimal scheduling of the complex products work-flow,so the main research direction of modern work-flow technology is how to assure the dynamic balance between the factors.Based on the work-flow technology,restraining the completion time,and analyzing the deficiency of traditional minimum critical path algorithm,a virtual iterative reduction algorithm(VIRA)was proposed,which can improve production accuracy effectively with time constrain.The VIRA with simplification as the core abstracts a virtual task that can predigest the process by combining the complex structures which are cyclic or parallel,finally,by using the virtual task and the other task in the process which is the iterative reduction strategy,determines a path which can make the production accuracy and completion time more balanced than the minimum critical path algorithm.The deadline,the number of tasks,and the number of cyclic structures were used as the factors affecting the performance of the algorithm,changing the influence factors can improve the performance of the algorithm effectively through the analysis of detailed data.Consequently,comparison experiments proved the feasibility of the VIRA.
