A Survey on Industrial Information Integration 2016–2019

Chen, Yong

doi:10.1142/s2424862219500167

Cited by 98 publications

(12 citation statements)

References 503 publications

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“…Interesting content in multimedia courseware is designed with the initial intention of attracting students' attention in the hope that they can focus on classroom learning. After investigating the interesting but irrelevant content in multimedia courseware, it was found that 31.21% of the students in this study thought that there was no such irrelevant content that would disturb students' learning [21]. Based on the characteristics of the Internet itself, online network teaching has more information, richer learning resources, and stronger real-time interaction.…”

Section: Hybrid Multimedia Art and Design Teaching Mode Optimization Designmentioning

confidence: 85%

Optimization of Hybrid Multimedia Art and Design Teaching Mode in the Era of Big Data

Tian

2021

Scientific Programming

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In this paper, a 9-layer convolutional neural network with 4 convolutional layers, 4 pooling layers, and 1 fully connected layer is designed to recognize the emotions of digital learning images in the era of big data. The convolutional neural network is trained using digital learning images that have been labeled with emotions, and the final test shows that the network has good recognition results. This in turn causes the information overload problem to arise. And combined with the questionnaire results and interviews, it was found that there are problems of technology for technology’s sake, teaching for teaching’s sake, and in multimedia teaching, and these will add to the psychological and visual sensory burden of students and easily cause the information overload problem. The types of information overload problems in multimedia-assisted teaching are summarized as follows: unreasonable presentation of information, which causes audiovisual redundancy; too much teaching irrelevant information, which increases the external cognitive load; and an uncoordinated audiovisual environment, which increases the external cognitive load. Starting from the perspective of the integration of preservice to in-service art teachers’ new media art curriculum design and teaching ability development, three representative teacher education cases were studied using a combination of teaching practice and case tracking methods to summarize the successful experiences and effective ways of art teachers’ new media art curriculum development and teaching ability development, which will provide future art teacher training and in-service teachers’ professional development. Both are below 5%. The types of funny emotions are mainly distributed in animation teaching methods. Animation resources are generally well designed in color and layout and can convey good visual emotional characteristics. In other types of images, the emotional distribution level of funny is less than 10%. It is worthwhile to learn from this experience.

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Section: Hybrid Multimedia Art and Design Teaching Mode Optimization Designmentioning

confidence: 85%

Optimization of Hybrid Multimedia Art and Design Teaching Mode in the Era of Big Data

Tian

2021

Scientific Programming

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“…The questionnaires were sent to R&D managers or directors of technology center of firms in industrial parks, this study also reveals the importance of new technologies or emerging technologies that must be paid attention including enterprise systems (Wang et al 2007;Xu 2011;Xu et al , 2012Xu et al , 2013, industrial information integration (Chen 2016(Chen , 2020Xu 2016, 2019;Hou, Kataev et al 2015;Li and Burgueno 2019;Lu 2016;Xu 2013Xu , 2015Xu ,2016Xu , 2020aPeruzzini and Stjepandić 2018) (Li, Xu and Zhao 2018;Li, Li and Zhao 2014;Xu, He and Li 2014;Xu 2020b).…”

Section: Discussionmentioning

confidence: 99%

Technological Innovation Research

Sun

Ling

et al. 2021

Journal of Global Information Management

Self Cite

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The paper explores the relationship among technological innovation, technological trajectory transition, and firms’ innovation performance. Technological innovation is studied from the perspectives of innovation novelty and innovation openness. Technological trajectory transition is categorized into creative cumulative technological trajectory transition and creative disruptive technological trajectory transition. A structural equation model is developed and tested with data collected by surveying 366 Chinese firms. The results indicate that both innovation novelty and innovation openness positively affects creative cumulative technological trajectory transition as well as creative disruptive technological trajectory transition. Innovation openness and creative disruptive technological trajectory transition both positively affect firms’ innovation performance. However, neither innovation novelty nor creative cumulative technological trajectory transition positively affects firms’ innovation performance. Implications for managers and directions for future studies are discussed.

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“…Convolutional neural networks have gradually become a research hotspot in many fields in recent years. To achieve a better role in these fields and provide more convenience for people's daily life, it is necessary to get better training results [17]. is paper focuses on evaluating the classification of convolutional neural networks from a new perspective and improving the training method of convolutional neural networks after making relevant evaluations to make full use of the training data and obtain better classification results.…”

Section: Related Workmentioning

confidence: 99%

Analysis of Human Resource Allocation Model for Tourism Industry Based on Improved BP Neural Network

Zhu

Liu

2022

Journal of Mathematics

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This paper analyzes the deficiencies of human resource allocation in the tourism industry by investigating the human resource allocation in the tourism industry, puts forward corresponding improvement measures and suggestions, and strives to provide certain guidance and helpful effects for the construction of tourism resource informatization. In this paper, a modified BP neural network model is proposed by introducing random perturbation terms on the hidden layer in the BP neural network algorithm, and the weight matrix connecting the input values is added with the random perturbation matrix to obtain a new weight matrix so that the convergence effect of the improved BP neural network algorithm is improved. Then, to address the problem that the initial weights of the long and short-term memory neural network and gated BP unit neural network have a large impact on the convergence speed and prediction accuracy of the algorithm after the initial weight selection is determined, this paper introduces the random perturbation term into the gate structure of the long and short-term memory neural network and gated BP unit neural network and proposes and connects an improved long and short-term memory neural network and gated BP unit neural network. The weight matrix of the input values is added with the random perturbation matrix to obtain the new weight matrix so that the convergence effect of the improved long and short-term memory neural network algorithm and the gated BP unit neural network algorithm is improved. Constructing the human resource allocation model of the tourism industry and proposing coping strategies and countermeasures and taking the human resource allocation system of the tourism industry as the core, the human resource allocation model of the tourism industry is established by combining the network image crisis life cycle system of tourism scenic spots and the network public opinion dissemination model. From the perspective of managers, the human resource allocation management policy and management procedures of the tourism industry are proposed. Using the quantifiable and disenable characteristics of online text information, the response strategy of online monitoring and propaganda and offline management and enhancement is proposed, and innovative countermeasures to the human resource allocation of the tourism industry are proposed in three categories: network originated, reality coexisting, and reality originated. Through this paper, we propose a new approach to human resource allocation management and development in the tourism industry and improve the efficiency of human resource allocation in the tourism industry.

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A Survey on Industrial Information Integration 2016–2019

Cited by 98 publications

References 503 publications

Optimization of Hybrid Multimedia Art and Design Teaching Mode in the Era of Big Data

Optimization of Hybrid Multimedia Art and Design Teaching Mode in the Era of Big Data

Technological Innovation Research

Analysis of Human Resource Allocation Model for Tourism Industry Based on Improved BP Neural Network

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