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| 1 | Mechanical movement data acquisition method based on the multilayer neural networks and machine vision in a digital twin environment[version 1;peer review:2 approved]显示文摘Background:Digital twin requires virtual reality mapping and optimization iteration between physical devices and virtual models.The mechanical movement data collection of physical equipment is essential for the implementation of accurate virtual and physical synchronization in a digital twin environment.However,the traditional approach relying on PLC(programmable logic control)fails to collect various mechanical motion state data.Additionally,few investigations have used machine visions for the virtual and physical synchronization of equipment.Thus,this paper presents a mechanical movement data acquisition method based on multilayer neural networks and machine vision.Methods:Firstly,various visual marks with different colors and shapes are designed for marking physical devices.Secondly,a recognition method based on the Hough transform and histogram feature is proposed to realize the recognition of shape and color features respectively.Then,the multilayer neural network model is introduced in the visual mark location.The neural network is trained by the dropout algorithm to realize the tracking and location of the visual mark.To test the proposed method,1000 samples were selected.Results:The experiment results shows that when the size of the visual mark is larger than 6mm,the recognition success rate of the recognition algorithm can reach more than 95%.In the actual operation environment with multiple cameras,the identification points can be located more accurately.Moreover,the camera calibration process of binocular and multi-eye vision can be simplified by the multilayer neural networks.Conclusions:This study proposes an effective method in the collection of mechanical motion data of physical equipment in a digital twin environment. Further studies are needed to perceive posture and shape data of physical entities under the multi-camera redundant shooting. | Hao Li Gen Liu Haoqi Wang Xiaoyu Wen Guizhong Xie Guofu Luo Shuai Zhang Miying Yang | 2021 | Digital Twin2021，1，1： | 0 |
| 2 | Development Trends of Key Technologies for IPTV Systems显示文摘Fast growing IPTV services have become a major concern in China’s information industry. However,the IPTV service model has not been perfected yet after long-time trial made in a couple of Chinese cities. Selecting optimum technologies for IPTV is difficult to solve in the short term. So far most trial IPTV services in China are designed to provide a small number of local viewers with television and recorded programs. Accordingly,the technology used for the available IPTV services can hardly become a paradigm for future IPTV technology development. Therefore,with the ultimate goal of constructing a countrywide IPTV service network that can meet the requirements of commercial operation,it is necessary to conduct research into the design of countrywide IPTV network architecture,improvement of the bearer network,selection of video encoding technology,terminal structure,building of the Content Distribution Network (CDN),establishment of the open Digital Rights Management (DRM) platform,and construction of Media Asset Management (MAM) system. | Yang Kun (The Communications Standard Research Institute,CATR,MII,Beijing 100083,China) | 2006 | ZTE Communications2006，4，3： | 0 |
| 3 | From total quality management to Quality 4.0:A systematic literature review and future research agenda显示文摘Quality 4.0 is an emerging concept that has been increasingly appreciated because of the intensification of competition,continually changing customer requirements and technological evolution.It deals with aligning quality management practices with the emergent capabilities of Industry 4.0 to improve cost,time,and efficiency and increase product quality.This article aims to comprehensively review extant studies related to Quality 4.0 to uncover current research trends,distil key research topics,and identify areas for future research.Thus,46 journal articles extracted from the Scopus database from 2017 to 2022 were collected and reviewed.A descriptive analysis was first performed according to the year-wise publication,sources of publication,and research methods.Then,the selected articles were analyzed and classified according to four research themes:Quality 4.0 concept,Quality 4.0 implementation,quality management in Quality 4.0,and Quality 4.0 model and application.By extracting the literature review findings,we identify the Quality 4.0 definitions and features,develop the quality curve theory,and highlight future research opportunities.This study supports practitioners,managers,and academicians in effectively recognizing and applying Quality 4.0 to enhance customer satisfaction,achieve innovation enterprise efficiency,and increase organizational competitiveness in the era of Industry 4.0. | Hu-Chen LIU Ran LIU Xiuzhu GU Miying YANG | 2023 | Frontiers of Engineering Management2023，10，2： | 0 |
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