Yanni Zhang

Northwestern Polytechnical University

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Jun Deng

Xi'an University of Science and Technology

Tingli Lu

Northwestern Polytechnical University

Que Bai

Northwestern Polytechnical University

Chi‐Min Shu

National Yunlin University of Science and Technology

Caiyun Zheng

Northwestern Polytechnical University

Xiaoting Rui

Nanjing University of Science and Technology

Jinxi Liu

Hebei Medical University

Qian Gao

Northwestern Polytechnical University

Kai Dong

Chinese Academy of Sciences

Jie Pan

Tongji University

Cooperative Institutions

Northwestern Polytechnical University

Chinese Academy of Sciences

Xi'an University of Science and Technology

Zhejiang University

Shanghai Jiao Tong University

Ministry of Agriculture and Rural Affairs

Xi'an Jiaotong University

Chinese Academy of Medical Sciences & Peking Union Medical College

University of Chinese Academy of Sciences

Sun Yat-sen University

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Intelligent Mining Method of Massive Digital Archives Based on Artificial Intelligence

Yanni Zhang

With the rapid development of artificial intelligence, a series of changes have taken place in the development practice of archives department, which provides an implementation path for the effective development of massive digital archives resources. Therefore, the research on the development of digital archives resources has practical significance for modern archives management. The wide application of artificial intelligence has brought great opportunities and challenges to the development of digital archives resources. How to use artificial intelligence to make digital archives resources "live" has become an urgent task for archives departments. Based on the intelligent mining method of massive digital archives based on artificial intelligence, this paper starts from a multidisciplinary perspective, draws lessons from the existing theories, analyzes the key elements of the development of digital archives resources, combs the characteristics of China's digital archives resources and the problems existing in the mining process, and puts forward the intelligent mining method of massive digital archives based on artificial intelligence.

Digital Archives

National archives

10.1109/icenit57306.2022.00053

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Citations (0)

Vibration isolation by a periodic beam with embedded acoustic black holes based on a hybrid dynamics method

Journal of low frequency noise, vibration and active control (2023)

Bowen Yao Yanni Zhang Qinbo Zhou Bin He Xiaoting Rui

The acoustic black hole (ABH) has been proved to reduce broadband vibration response in beams and plates. While the traditional analytical and semi-analytical methods can only deal with the response of simple ABH structures; for complex ABH structures, the numerical methods such as the finite element method (FEM) have to be resorted and these methods are too often time-consuming. In this work, the vibration isolation by a beam structure embedded with periodic embedded symmetric ABHs is investigated. The vibration transmission of a single embedded symmetric ABH beam unit is first studied by the Riccati transfer matrix method (RTMM). A comparative analysis of the convergence speed and the computation efficiency of the unit by the RTMM and the FEM demonstrates the computation time using the RTMM increases linearly with the number of segments while that using the FEM increases exponentially and quickly exceeds the former as the number of segments increases. The computation time is consistent with the computational complexity associated with their respective algorithms. A hybrid dynamics method (HDM) is then proposed to derive for the vibration transmission solution of the beam with single and multiple periodically embedded symmetric ABHs. A comparison of the responses with those calculated by the RTMM demonstrates that the proposed HDM provides an efficient tool for solving the vibration response of the finite beam with periodic embedded ABHs, leading to much improved computational efficiency with ensured numerical stability and accuracy. This advantage in computation efficiency becomes even more obvious for larger structures when the number of the ABH units increased considerably. The proposed hybrid dynamic approach provides a basis for solving the vibration transmission/isolation problems of more complex ABH structures.

10.1177/14613484231163997

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Experimental study of TiO 2 –water nanofluid flow and heat transfer characteristics in a multiport minichannel flat tube

International Journal of Heat and Mass Transfer (2014)

Ji Zhang Yanhua Diao Yaohua Zhao Yanni Zhang

Heat transfer enhancement

10.1016/j.ijheatmasstransfer.2014.08.071

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Citations (50)

Degradable and self-luminescence porous silicon particles as tissue adhesive for wound closure, monitoring and accelerating wound healing

Journal of Colloid and Interface Science (2021)

Qingyan Zeng Kai Han Caiyun Zheng Que Bai Wendong Wu

Biocompatibility

10.1016/j.jcis.2021.09.092

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Citations (14)

A Novel Efficient Multi-View Traffic-Related Object Detection Framework

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023)

Kun Yang Jing Liu Dingkang Yang Hanqi Wang Peng Sun

With the rapid development of intelligent transportation system applications, a tremendous amount of multi-view video data has emerged to enhance vehicle perception. However, performing video analytics efficiently by exploiting the spatial-temporal redundancy from video data remains challenging. Accordingly, we propose a novel traffic-related framework named CEVAS to achieve efficient object detection using multi-view video data. Briefly, a fine-grained input filtering policy is introduced to produce a reasonable region of interest from the captured images. Also, we design a sharing object manager to manage the information of objects with spatial redundancy and share their results with other vehicles. We further derive a content-aware model selection policy to select detection methods adaptively. Experimental results show that our framework significantly reduces response latency while achieving the same detection accuracy as the state-of-the-art methods.

Data redundancy

10.1109/icassp49357.2023.10095027

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Citations (9)

The dual function of Cu-doped TiO₂coatings on titanium for application in percutaneous implants

Journal of Materials Chemistry B (2016)

Lan Zhang Jiaqi Guo Xiaoyan Huang Yanni Zhang Yong Han

Compared with Ti, a microporous TiO₂coating doped with 0.67 wt% Cu²⁺can improve the behaviors of fibroblasts and inhibit the adhesion and colonization ofS. aureus, simultaneously.

Dual function

10.1039/c6tb00563b

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Citations (91)

Sound absorption characteristics of loose bituminous coal porous media with different metamorphic degrees

Fuel (2022)

Shuaijing Ren Teng Ma Yanni Zhang Jun Deng Yang Xiao

Bituminous coal

Acoustic Emission

Noise reduction coefficient

10.1016/j.fuel.2022.126091

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Citations (23)

Experimental and numerical investigation of the influence of laterally sprayed water mist on a methane-air jet flame

Chemical Engineering Journal (2018)

Haitao Li Xiaokun Chen Chi‐Min Shu Qiuhong Wang Yanni Zhang

Mist

10.1016/j.cej.2018.09.051

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Citations (20)

Limestone water mixing process and hydrogen and oxygen stable isotope fractionation response under mining action

Environmental Research (2024)

Pinghua Huang Mengke Cui Shuangwei Chai Yuanmeng Li Yanni Zhang

10.1016/j.envres.2024.119208

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Citations (1)

Ruthenium(II)-Catalyzed [4 + 2] Electro-Oxidative Annulation of C⁶-Arylpurines/Purine Nucleosides

Organic Letters (2023)

Qi‐Liang Yang Yi-Rui Luo Rong-Yi Xu Beining Zhang Yanni Zhang

A sustainable pathway for the synthesis of tetracyclic purinium salts via ruthenium-catalyzed electro-oxidative annulation of C6-arylpurine nucleosides with alkynes without a stoichiometric metal oxidant has been developed. The protocol described herein exhibits high regioselectivity, broad scope, and wide functional group tolerance, allowing efficient coupling of various biologically important molecules including acyclic, ribosyl, arabinosyl, and deoxyribosyl purine nucleoside derivatives. A novel purinoisoquinolinium-coordinated ruthenium(0) sandwich intermediate has been isolated, crystallographically characterized, and electrochemically analyzed, offering direct mechanistic insight.

Annulation

10.1021/acs.orglett.3c02208

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Citations (4)