Data loss for PLC of nonlinear systems Iterative Learning Control Algorithm

When we use power line as data carrier, due to the complexity of the PLC network environment, data packet loss frequently, so the paper deal with the iterative learning control for a class of nonlinear systems with measurement dropouts in the PLC, and studies the P-type iterative learning control algorithm convergence issues, the data packet loss is described as a stochastic Bernoulli process, on this basis we given convergence conditions for the P-type iterative learning control algorithm. The theoretically analysis is supported by the simulation of a numerical example; the convergence of ILC can be guaranteed when some output measurements are missing

An Intelligent Method for Detecting Surface Defects in Aluminium Profiles Based on the Improved YOLOv5 Algorithm

In response to problems such as low recognition rate, random distribution of defects and large-scale differences in the detection of surface defects of aluminum profiles by other state-of-the-art algorithms, this paper proposes an improved MS-YOLOv5 model based on the YOLOv5 algorithm. First, a PE-Neck structure is proposed to replace the neck part of the original algorithm in order to enhance the model’s ability to extract and locate defects at different scales. Secondly, a multi-streamnet is proposed as the first detection head of the algorithm to increase the model’s ability to identify distributed random defects. Meanwhile, to overcome the problem of inadequate industrial defect samples, the training set is enhanced by geometric variations and image-processing techniques. Experiments show that the proposed MS-YOLOv5 model has the best mean average precision (mAP) compared to the mainstream target-detection algorithm for detecting surface defects in aluminium profiles, whereas the average single image recognition time is within 19.1FPS, meeting the real-time requirements of industrial inspection

Data loss for PLC of nonlinear systems Iterative Learning Control Algorithm

When we use power line as data carrier, due to the complexity of the PLC network environment, data packet loss frequently, so the paper deal with the iterative learning control for a class of nonlinear systems with measurement dropouts in the PLC, and studies the P-type iterative learning control algorithm convergence issues, the data packet loss is described as a stochastic Bernoulli process, on this basis we given convergence conditions for the P-type iterative learning control algorithm. The theoretically analysis is supported by the simulation of a numerical example; the convergence of ILC can be guaranteed when some output measurements are missing

The Feasibility and Safety of No Placement of Urinary Catheter Following Lung Cancer Surgery: A Retrospective Cohort Study With 2,495 Cases

Objectives The study was aimed to investigate the safety and feasibility of avoiding urinary catheterization after surgery in patients undergoing lung cancer resection. Methods Between 1 January 2014 and 31 December 2017, the patients with primary lung cancer who received lobectomy or segmental resection via video-assisted thoracic surgery (VATS) in our department were screened. Based on whether a urinary catheter was inserted after surgery, patients were divided into urinary catheter (UC) group or non-UC group, and rates of postoperative urinary retention (POUR), urinary catheter re-insertion and urinary tract infection (UTI) were compared. Results There was no difference in International prostate symptom score (p = .268) between the groups, but a higher Sedation-Agitation Scale (SAS) score was found in UC group [4.0 (3.0 4.0) vs. 4.0 (2.0, 4.0); p  4; 17.3%, 317/1,835 vs. 12.9%, 86/660, p = .008). In contrast, a higher rate of POUR was observed in non-UC group (11.2%, 74/660 vs. 7.4%, 136/1,835, p = .003), whereas the rate of UTI was significantly lower in this group (5.8%, 38/660 vs. 8.3%, 153/1,835, p = .033). Multivariable analysis revealed the non-placement of UC as the independent factor for POUR (OR: 1.542, 95%CI: 1.135-2.095, p = .006) and UTI (OR: 0.664, 95%CI: 0.459–0.962, p = .031). Conclusion This retrospective study with large sample of 2,495 patients provided evidence to the hypothesis that avoiding urinary catheterization contributed to decrease in the incidence of UTI and was safe and feasible in patients undergoing lung cancer surgery