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  • 1
    In: Nanotechnology, IOP Publishing, Vol. 29, No. 47 ( 2018-11-23), p. 474002-
    Type of Medium: Online Resource
    ISSN: 0957-4484 , 1361-6528
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2018
    detail.hit.zdb_id: 1362365-5
    SSG: 11
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  • 2
    Online Resource
    Online Resource
    IOP Publishing ; 2019
    In:  IOP Conference Series: Earth and Environmental Science Vol. 376, No. 1 ( 2019-11-01), p. 012049-
    In: IOP Conference Series: Earth and Environmental Science, IOP Publishing, Vol. 376, No. 1 ( 2019-11-01), p. 012049-
    Abstract: Box - type modular building with advantages of quick installation, good comfort, beautiful appearance and convenient turnover, is widely used in construction of temporary construction, business services, holiday villas and other projects. In this paper, a single span double - layer box - type modular building in Shenzhen was taken as an example, using modular building system with a special-shaped corner column and cold-formed thin-walled beam. The finite element software ANSYS was used to calculate the overall structural strength and stiffness, and the stress and displacement calculation results under the control of vertical load and horizontal wind load were respectively given. The results show that under the snow load, the maximum stress of the whole structure is 163.14MPa, which appears in the middle of the second layer top frame purlin. Under the horizontal wind load, the maximum stress of the whole structure appears at the beam-to-column connection panel, and the stress of the first story is more unfavourable than that of the second one. The maximum displacement in the horizontal direction is 10.37mm. The maximum displacement angle between layers is 1/278. The above calculation results all meet the requirements of “Standard for design of steel structures” (GB50017-2017), which can ensure the safety and reliability during normal use. Furthermore, it can provide reference for the design and optimization of multi-storey box buildings.
    Type of Medium: Online Resource
    ISSN: 1755-1307 , 1755-1315
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2019
    detail.hit.zdb_id: 2434538-6
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  • 3
    Online Resource
    Online Resource
    Association for the Advancement of Artificial Intelligence (AAAI) ; 2023
    In:  Proceedings of the AAAI Conference on Artificial Intelligence Vol. 37, No. 2 ( 2023-06-26), p. 2047-2055
    In: Proceedings of the AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence (AAAI), Vol. 37, No. 2 ( 2023-06-26), p. 2047-2055
    Abstract: Domain adaptation for Cross-LiDAR 3D detection is challenging due to the large gap on the raw data representation with disparate point densities and point arrangements. By exploring domain-invariant 3D geometric characteristics and motion patterns, we present an unsupervised domain adaptation method that overcomes above difficulties. First, we propose the Spatial Geometry Alignment module to extract similar 3D shape geometric features of the same object class to align two domains, while eliminating the effect of distinct point distributions. Second, we present Temporal Motion Alignment module to utilize motion features in sequential frames of data to match two domains. Prototypes generated from two modules are incorporated into the pseudo-label reweighting procedure and contribute to our effective self-training framework for the target domain. Extensive experiments show that our method achieves state-of-the-art performance on cross-device datasets, especially for the datasets with large gaps captured by mechanical scanning LiDARs and solid-state LiDARs in various scenes. Project homepage is at https://github.com/4DVLab/CL3D.git.
    Type of Medium: Online Resource
    ISSN: 2374-3468 , 2159-5399
    Language: Unknown
    Publisher: Association for the Advancement of Artificial Intelligence (AAAI)
    Publication Date: 2023
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