Research on Colour Modelling and Detecting System Based on Computer Big Data

Pei, Xia; Zhang, Li

doi:10.1088/1742-6596/1952/2/022007

J. Phys.: Conf. Ser.

2021

DOI: 10.1088/1742-6596/1952/2/022007

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Research on Colour Modelling and Detecting System Based on Computer Big Data

Xia Pei

Li Zhang

Abstract: Through the statistics and analysis of the three colour components of dynamic background pixels in RGB space, the paper found that the difference between the three components fluctuates in a narrow area. Based on this fact, it proposes RGB colour based on computer big data Background modelling method of component statistics. This method fully considers the correlation of the three colour components of RGB, and the foreground detection process is faster. Experimental results show that compared with other colour… Show more

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Cited by 2 publications

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Research on computer static software defect detection system based on big data technology

Zhu

Arumugam

et al. 2022

Journal of Intelligent Systems

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To study the static software defect detection system, based on the traditional static software defect detection system design, a new static software defect detection system design based on big data technology is proposed. The proposed method can optimize the distribution of test resources and improve the quality of software products by predicting the potential defect program modules and design the software and hardware of the static software defect detection system of big data technology. It is found that the traditional static software defect detection system design based on code source data takes a long time, averaging 65 h /day. However, the traditional static software defect detection system based on deep learning has a short detection time, averaging 35 h/day. In this article, the detection time of the static software defect detection system based on big data is shorter than that of the other two traditional system designs, with an average of 15 h/day. Because the system design adjusts the operating state of the system, it improves the accuracy of data operation. On the premise of data collection, the system inspection research is completed, which ensures the operational safety of software data, alleviates the contradiction between system and data to a high degree, improves the efficiency of system operation, reduces unnecessary operations, further shortens the time required for inspection, improves the system performance, and has higher research and operation value.

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Research on computer static software defect detection system based on big data technology

Zhu

Arumugam

et al. 2022

Journal of Intelligent Systems

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On the improvement, innovation and inheritance of stage makeup styling in opera under the background of big data

Zhao

2023

Applied Mathematics and Nonlinear Sciences

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Character styling design can clearly show the background of story characters and the characteristics of the times in the performance of stage plays. Integrating traditional culture with the art of stage plays is important for developing theatrical communication. In this paper, we analyze the factors that impact theatrical communication in the context of big data. Based on the original innovation diffusion model, it analyzes the limitations of its application, analyzes the innovation characteristics of theatrical stage makeup modeling from a qualitative perspective, finds that its diffusion characteristics do not conform to the prerequisite assumptions of the original innovation diffusion model, and confirms the improvement direction of the innovation diffusion model. Based on the analysis of audience data by the full data analysis method, the main influencing factors affecting the diffusion of opera heritage are identified, and their practical significance in the improved model is analyzed. The original innovation diffusion model is improved quantitatively, and an iterative diffusion model is established. Empirical analysis of the iterative diffusion model was conducted using the actual diffusion data of opera stage makeup styling. The research results show that the initial diffusion rates of the products are, in descending order, Cheese Superman, TikTok, Watermelon Video, and Punchbowl. Among them, the cumulative diffusion of TikTok is the highest at 14, and the diffusion rate of Watermelon Video is 0.68. It indicates that the above products effectively spread opera culture and highlight the charm of opera stage makeup styling.

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Research on Colour Modelling and Detecting System Based on Computer Big Data

Cited by 2 publications

References 7 publications

Research on computer static software defect detection system based on big data technology

Research on computer static software defect detection system based on big data technology

On the improvement, innovation and inheritance of stage makeup styling in opera under the background of big data

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