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Journal Article 5

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2023 3

2003 1

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Intellectualization 2

intellectualization 2

Automatic construction 1

Data mining 1

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Knowledge guide 1

Optimal design 1

Structural elimination 1

Structural health monitoring 1

Tax risk detection 1

Transportation infrastructures 1

coalmine intellectualization 1

computer simulation 1

deep-sea equipment 1

equipment development 1

heat treatment 1

human‒physical‒information space 1

marine observation system 1

marine scientific research 1

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Advances in Intellectualization of Transportation Infrastructures Review

Yanliang Du, Tinghua Yi, Xiaojun Li, Xiaoli Rong, Longjun Dong, Dawei Wang, Yang Gao, Zhen Leng

Engineering 2023, Volume 24, Issue 5, Pages 240-253 doi: 10.1016/j.eng.2023.01.011

Abstract: a brief discussion on the basic definition, scientific foundation, and development process for the intellectualizationoperational maintenance, and elimination, the current research status and major challenges presented by intellectualizationFinally, a discussion on the future development of the intellectualization of transportation infrastructures

Keywords： Intellectualization Transportation infrastructures Optimal design Automatic construction Structural

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Reconstructing Human‒Coal Space Relationship Through Coalmine Intellectualization

Fan Jingdao, Jin Zhixin, Wang Guofa, Li Chuan, Liu Wei, Yan Zhenguo

Strategic Study of CAE 2023, Volume 25, Issue 2, Pages 243-253 doi: 10.15302/J-SSCAE-2023.07.014

Abstract: We find that coalmine intellectualization can change the physical locations and relative motions of coalmineintelligent coal-mining and intelligent well-construction cases and reveals the practical values of coal mine intellectualization

Keywords： coalmine intellectualization spatial relationship human‒physical‒information space virtual‒real fusion

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A Survey of Tax Risk Detection Using Data Mining Techniques

Qinghua Zheng,Yiming Xu,Huixiang Liu,Bin Shi,Jiaxiang Wang,Bo Dong,

Engineering doi: 10.1016/j.eng.2023.07.014

Abstract: Tax risk behavior causes serious loss of fiscal revenue, damages the country’s public infrastructure, and disturbs the market economic order of fair competition. In recent years, tax risk detection, driven by information technology such as data mining and artificial intelligence, has received extensive attention. To promote the high-quality development of tax risk detection methods, this paper provides the first comprehensive overview and summary of existing tax risk detection methods worldwide. More specifically, it first discusses the causes and negative impacts of tax risk behavior, along with the development of tax risk detection. It then focuses on data-mining-based tax risk detection methods utilized around the world. Based on the different principles employed by the algorithms, existing risk detection methods can be divided into two categories: relationship-based and non-relationship-based. A total of 14 risk detection methods are identified, and each method is thoroughly explored and analyzed. Finally, four major technical bottlenecks of current data-driven tax risk detection methods are analyzed and discussed, including the difficulty of integrating and using fiscal and tax fragmented knowledge, unexplainable risk detection results, the high cost of risk detection algorithms, and the reliance of existing algorithms on labeled information. After investigating these issues, it is concluded that knowledge-guided and data-driven big data knowledge engineering will be the development trend in the field of tax risk in the future; that is, the gradual transition of tax risk detection from informatization to intelligence is the future development direction.

Keywords： Tax risk detection Data mining Knowledge guide Informatization Intellectualization

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Mathematical Model of Heat Treatment and Its Computer Simulation

Pan Jiansheng,Zhan Weimin,Tian Dong,Gu Jianfeng,Hu Mingjuan

Strategic Study of CAE 2003, Volume 5, Issue 5, Pages 47-54

Abstract:

Computer simulation on heat treatment is the foundation of intelligent heat treatment. The simulation of temperature field, phase transformation, stress/strain in complicate quenching operation has been realized with the three dimensional non-linear finite element method model and the methods of treating for abruptly changed interface conditions. The simulation results basically fit those measured in experiments. A production line with intelligent sealed multipurpose furnace has been developed based on the combination of computer simulation on gaseous carburizing and computer control technology. More than 3 000 batches of workpieces have been processed, and all are up to standard. The application of computer simulation technology can significantly improve the load-carrying ability and reliability of the nitriding and carburizing workpieces, reduce heat treatment distortion, and shorten carburizing duration. It is recommended that the reliable product design without redundancy be performed with the combination between the CAD of mechanical products, the CAE of materials selection and heat treatment, and the dynamic evaluation technology of product reliability.

Keywords： heat treatment mathematical model computer simulation intellectualization

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Development Strategy for Marine Scientific Equipment and Technologies

Dong Sheng, Liao Zhenkun, Yu Liwei, Li Huajun

Strategic Study of CAE 2023, Volume 25, Issue 3, Pages 33-41 doi: 10.15302/J-SSCAE-2023.03.004

Abstract:

Marine research equipment is critical for the development of marine science. In recent years, China has made breakthroughs regarding the independent research and development of marine research equipment, and some types of the equipment have reached the advanced international level; however, technologies for the equipment still face various challenges. In this paper, the current status of the marine research equipment is reviewed, including research vessels, underwater vehicles, buoys, marine sensors, and marine observation networks. The problems encountered in the technical development of China’s marine research equipment are analyzed from the aspects of key components, technology research and development, data management, basic support, and demand matching. The future development trends are summarized, namely, green, unmanned, intelligent, and collaborative development for deep sea and polar sea research needs. Meanwhile, the key and core technologies for the overall and each category of marine research equipment are analyzed. To provide references for further promoting the rapid development of marine research equipment, the following development suggestions are proposed: sorting out the technical shortcomings, strengthening the coordination of resources to improve supporting capacity, improving the innovation mechanism to promote interdisciplinarity, strengthening the role of the market to promote the industrialization process, and relying on advanced scientific research platforms to expand international cooperation.

Keywords： marine scientific research deep-sea equipment polar marine equipment marine observation system intellectualization