Sensor-based Human–Process Interaction in Discrete Manufacturing

Knoch, Sönke; Herbig, Nico; Ponpathirkoottam, Shreeraman; Kosmalla, Felix; Staudt, Philipp; Porta, Daniel; Fettke, Peter; Loos, Peter

doi:10.1007/s13740-019-00109-z

Cited by 8 publications

(4 citation statements)

References 25 publications

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“…e particles are tightly combined, and there are no defects such as delamination and large pores. In the finegrained matrix, the existence of large-size, parallel, and uniformly arranged flake-shaped microcrystalline templates can be clearly observed, indicating that the template has good orientation, which can lay a solid foundation for obtaining high-quality alumina textured ceramics [20,21]. Although the general isostatic press is equipped with a pressure gauge or pressure sensor, it can only observe each pressure process and cannot collect continuous pressure change data and the highest pressure and pressure holding time of each pressure process.…”

Section: Alumina Ceramic Tube and Its Quality Information Processingmentioning

confidence: 99%

Development of Quality Information Management System for Alumina Ceramic Tube Manufacturing Process

Huang

2022

Advances in Materials Science and Engineering

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This paper is based on the alumina ceramic manufacturing process and its quality to build a quality information management system to study alumina ceramics and its quality factors such as physical properties, chemical properties, and other pieces of related information to find a kind of alumina ceramics. The management of quality management brings efficiency and guarantee to the management system. Obviously, this research is based on the two parts of alumina ceramic tube and quality management information system for data acquisition and analysis. One part is based on the production and performance analysis of alumina ceramic tube and summarizes the quality problems that occurred in this process. This paper constructs an information management system to count these issues and conducts research on information dominance and management; among them, exponential smoothing calculation methods, linear trends, convolutional neural algorithms, and so on are applied for methodological analysis. The experimental results show that the lack of corners and uneven corners in alumina production has been greatly reduced, and the maximum probability of uneven corners has been reduced from 9.27 to 5.27. The scrap rate of ceramic tube quality decreased from the highest value of 5.82 to 3.17, and the maximum value of unqualified quality was changed from 5.76 to 3.03.

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Section: Alumina Ceramic Tube and Its Quality Information Processingmentioning

confidence: 99%

Development of Quality Information Management System for Alumina Ceramic Tube Manufacturing Process

Huang

2022

Advances in Materials Science and Engineering

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“…e overall accuracy of the model has been improved. e Center Loss function, the Softmax Loss function, and the improved mixed-function are calculated as shown in equations ( 10)- (12).…”

Section: Vgg Network Loss Functionmentioning

confidence: 99%

“…ey also used a lightweight CNN to recognise facial expressions. Knoch et al [12] proposed automatically detecting material picking and placement in the assembly workflow.…”

Section: Introductionmentioning

confidence: 99%

Theoretical Model and Implementation Path of Party Building Intelligent Networks in Colleges and Universities from the Perspective of Artificial Intelligence

Ji-wei

Dang

2022

Mobile Information Systems

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The paper aims to promote the growth of party building work in colleges and universities to improve school party organization, team management and strengthen party member ideological construction and overall party quality. We design intelligent party member business knowledge learning classrooms using deep learning to improve the quality of party members. First, we develop a convolutional neural network (CNN)-based classroom face recognition system and improve its loss function using the associated theory of the Visual Geometry Group 16 (VGG-16) model. Then, using the Single Shot Multi-Box Detector (SSD), we establish a classroom standing behavior identification system. The experimental results demonstrate that the accuracy rate of the conventional VGG-16 in the face recognition system is 93.5%, while the upgraded VGG-16 is 96.5%, with a 3.2% increase over the baseline models.

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“…rough the acquired images and travel notes, the routes within and between scenic spots are mined, so as to provide users with travel route planning [25,26]. A mobile travel search framework is proposed, which can display multiple perspectives of scenic spots based on image information to users through compression transmission technology [27,28]. Low resolution query images are processed by remote server, and then scenic spots are identified and searched, and the corresponding scenic spots are reconstructed from the 3d perspective based on the photo set [29].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Tourism Information Analysis System Based on Big Data Algorithm

Jing¹,

Zheng²,

Chen³

2020

Complexity

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On the basis of ecological footprint theory and tourism ecological footprint theory, the sustainable development indexes such as ecological footprint, ecological carrying capacity, ecological deficit, and ecological surplus of the research area were calculated and the long-term change pattern of each index was analyzed. This paper shows that the ecological footprint of the research area increases year by year, but the ecological footprint is always smaller than the ecological carrying capacity, indicating that the area is still in the state of sustainable development. However, the per capita ecological surplus shows a decreasing trend year by year, indicating that the sustainable development of the region is getting worse. This paper proposes a reordering method of tourist attractions based on heterogeneous information fusion, and realizes the retrieval and reordering of tourist attractions based on user query and fusion of heterogeneous information, so as to help users make travel decisions. In view of the shortage of tourism commercial websites to passively provide scenic spot information, this paper puts forward a scenic spot retrieval method based on query words to enable users to obtain scenic spot information according to their needs, and constructs a tourist consumer data analysis system. The preprocessing methods and methods adopted by the data preprocessing module are analyzed in detail, and the algorithms used in the travel route analysis and consumer spending ability analysis are described in detail. The data of tourism consumers are analyzed by this system, and the results are evaluated.

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Sensor-based Human–Process Interaction in Discrete Manufacturing

Cited by 8 publications

References 25 publications

Development of Quality Information Management System for Alumina Ceramic Tube Manufacturing Process

Development of Quality Information Management System for Alumina Ceramic Tube Manufacturing Process

Theoretical Model and Implementation Path of Party Building Intelligent Networks in Colleges and Universities from the Perspective of Artificial Intelligence

Optimization of Tourism Information Analysis System Based on Big Data Algorithm

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