Abstract
This paper adopts technologies such as 3D virtual simulation technology and human–computer interaction technology to develop the foods safety standards interactive question–answering system and intelligent scene-specific foods safety standards training and implementation evaluation platform with regard to different subjects, realizing the diversified training on foods safety standards.
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References
Hong, Y., Zhou, K.P., Liang, Z.P., et al.: Development of non-coal mine fire emergency training system based on VR technology. Gold Sci. Technol. 27(04), 629–636 (2019) (In Chinese)
Liu, D.W., Jia, H.R., Jian, Y.H., et al.: Construction and research of emergency training system for tunnel fire based on virtual reality technology. J. Saf. Sci. Technol. 15(02), 131–137 (2019) (In Chinese)
Yang, K.N., Zhang, J.K., Ye, Z.W., et al.: External fire-fighting training simulation system of rescue ships based on virtual reality technology. J. Shanghai Marit. Univ. 40(02), 95–100+108 (2019) (In Chinese)
Zhu, L., Yang, P., Lu, J.J., et al.: Effects observation of application of virtual reality technology to first aid operation training of fractured patient. People’s Mil. Surg. 64(12), 1198–1203 (2021) (In Chinese)
Yan, Y., Yang, Y.H., Song, Y., et al.: Application research of virtual reality mapping and visual tactile perception in calibration of virtual electrical equipment tester. Eng. J. Wuhan Univ. 54(12), 1159–1165 (2021) (In Chinese)
Terry, L.T., Steve, Z., Sean, J., et al.: Mobile gyro control for intuitive manipulation of virtual anatomy specimens. FASEB J. 36 (2022)
Liu, Z., Gu, X., Dong, Q., Tu, S., Li, S.: 3D visualization of airport pavement quality based on BIM and WebGL integration. J. Transp. Eng., Part B: Pavements 147(3), 04021024 (2021)
Liu, Y.: Research on robust sentiment classification for text-mining-based online shopping product comments. Jiangxi University of Finance and Economics (2021) (In Chinese)
Yu, B.H.: Research on key technology for application of semantic internet of things. Chinese Academy of Sciences (Shenyang institute of computing technology, Chinese academy of sciences) (2021) (In Chinese)
Meng, L.S.: Research on user’s product comments based on text mining technology. Hebei University of Economics and Business (2022) (In Chinese)
Hu, Y., Zhang, T.: Land engineering fund project text mining data collection and preprocessing method. Int. Core J. Eng. 8(6), 42–46 (2022)
Xia, C.Y.: Emotional analysis on COVID-19 MicroBlog opinions based on computer learning and depth learning. Jiangxi University of Finance and Economics (2021) (In Chinese)
Patel, A., Jain, S.: Present and future of semantic web technologies: a research statement. Int. J. Comput. Appl. 1–10 (2019)
Zhang, P.P.: Research on impacts of online public opinions on fluctuations of stock price of listed companies, Donghua University (2020) (In Chinese)
Cheng, S.J.: Research on and realization of Thangka characters Q&A system based on knowledge mapping, Northwest Minzu University (2022) (In Chinese)
Fan, Q., Tan, G.X., Zhang, W.Y.: The description and application of digital cultural resources based on metadata-a case study of Hubei Digital Cultural Museum. Res. Libr. Sci. 02, 48–59 (2022). (In Chinese)
Tang, L., Guo, C.H., Chen, J.F.: Review of Chinese word segmentation studies. Data Anal. Knowl. Discov. 4(Z1), 1–17 (2020) (In Chinese)
Zhao, S., Luo, R., Cai, Z.P.: Survey of Chinese named entity recognition. J. Front. Comput. Sci. Technol. 16(02), 296–304 (2022) (In Chinese)
Hang, T.T., Feng, J., Lu, J.M.: Knowledge graph construction techniques: taxonomy, survey and future directions. Comput. Sci. 48(02), 175–189 (2021) (In Chinese)
An, Y., Xia, X.Y., Chen, X.L., et al.: Chinese clinical named entity recognition via multi-head self-attention based BiLSTM-CRF. Artif. Intell. Med. 127, 102282 (2022)
Zhu, Y., Ling, Z.G., Zhang, Y.Q.: Research progress and prospect of machine vision technology. J. Graphics 41(06), 871–890 (2020) (In Chinese)
Hong, E.H., Zhang, W.J., Xiao, S.Q., et al.: Survey of entity relationship extraction based on deep learning. J. Softw. 30(06), 1793–1818 (2019) (In Chinese)
Zhu, L.Y., Zhang, J., Hong, L., et al.: Knowledge graph in the field of digital humanities: research progress and future trends. Knowl. Manage. Forum 7(01), 87–100 (2022) (In Chinese)
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National Key R&D Program of P. R. China (2019YFC1605201) is gratefully acknowledged.
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Liu, P. et al. (2023). Research on the Construction of Food Safety Standards Training System Based on 3D Virtual Reality Technology. In: Patnaik, S., Kountchev, R., Tai, Y., Kountcheva, R. (eds) 3D Imaging—Multidimensional Signal Processing and Deep Learning. Smart Innovation, Systems and Technologies, vol 348. Springer, Singapore. https://doi.org/10.1007/978-981-99-1145-5_16
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DOI: https://doi.org/10.1007/978-981-99-1145-5_16
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