DESIGN OF IMPROVED OPTIMAL AND SUBOPTIMAL DEADLOCK PREVENTION FOR FLEXIBLE MANUFACTURING SYSTEMS BASED ON PLACE INVARIANT AND REACHABILITY GRAPH ANALYSIS METHODS

Flexible manufacturing systems exhibit a high degree of resource sharing.Since the parts advancing through the system compete for a finite number of resources, a deadlock may occur.Accordingly, many pioneers make efforts in the issue.However, how to obtain maximally permissive supervisors in deadlock flexible manufacturing system SUPER ENZYMES is a

While humans can easily describe visual data at varying levels of detail, the same task presents a significant challenge for machines.This challenge becomes even more complex when dealing with video data.The process of understanding a video and generating descriptive text for it is known as video captioning.Video captioning requires not only unders

Abstract Background A plethora of prognostic biomarkers for esophageal squamous cell carcinoma (ESCC) that have hitherto been reported are challenged with low reproducibility due to high molecular heterogeneity of ESCC.The purpose of this study was to identify the optimal biomarkers for ESCC using machine learning algorithms.Methods Biomarkers rela

Effervescent atomization has established itself in the past decade as a promising alternative to conventional spray formation mechanisms.A great effort is currently being put into understanding Catch Can PCV the involved phenomena and developing numerical models to predict outcomes of processes relying on effervescent atomizers (i.e.spray combustio

Unsupervised Domain Adaptative Object Detection (UDAOD) Light Duty aims to alleviate the gap between the source domain and the target domain.Previous methods sought to plainly align global and local features across domains but adapted numerous pooled features and overlooked contextual information, which caused incorrect perceptions of foreground in