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  1. 1601

    Development research of terminal evaluation system of internet of things by Jinfeng XIE, Hanqi YAN, Bingguang DENG, Yan ZHANG

    Published 2021-02-01
    “…Under the large-scale commercial application of internet of things technology, the existing terminal evaluation system can not meet the new requirements of massive, multi-type and multi-form internet of things terminal evaluation.The research on the development of evaluation system for internet of things terminal was carried out, and the suggestions and methods of evaluation system for internet of things terminal were put forward from three dimensions of foundation, application and security, combined with the development trend of testing means, so as to provide reference for future development, promote the quality of IoT terminals, ensure the good interoperability between terminals and networks, and improve the end-to-end service quality.…”
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  2. 1602
  3. 1603

    Research on Improved YOLOv7 for Traffic Obstacle Detection by Yifan Yang, Song Cui, Xuan Xiang, Yuxing Bai, Liguo Zang, Hongshan Ding

    Published 2024-12-01
    “…However, there is limited research on traffic obstacle detection in complex scenarios involving road construction and sudden accidents. …”
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  4. 1604

    Research on test strategy for randomness based on deep learning by Dongyu CHEN, Hua CHEN, Limin FAN, Yifang FU, Jian WANG

    Published 2023-06-01
    “…In order to achieve better test performance, researches on the randomness test strategies based on deep learning were conducted, including the batch average strategy proposed by EUROCRYPT 2021 and the selection strategy for data unit size.By introducing the randomness statistical test model based on deep learning methods, the statistical distribution and test power expression of two test strategies were theoretically derived, and it was pointed out that: (i) the batch average strategy could amplify the prediction accuracy of the model, but it was prone to an increase in the probability of the second type of error in statistics, instead reducing the statistical test power; (ii) the smaller data units of the deep model generally obtained the more powerful statistical tests.Based on the above understanding, a new bit-level deep learning model was proposed for randomness statistical tests, which gained the advantage of prediction with 80 times fewer parameters and 50% samples, compared with the previous work on linear congruent generator (LCG) algorithm, and achieved significant prediction advantages with 10~20 times fewer parameters by extending the model to apply to 5~7 rounds of Speck, compared with the model proposed by Gohr.…”
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    Research progress on thunderstorm asthma and its susceptibility factors by NAO Min, SHAN Hongwei

    Published 2025-01-01
    “…This study reviews the pathogenesis of thunderstorm asthma, environmental triggers (pollen particles and air pollutants), meteorological triggers (relative humidity and temperature), individual susceptibility factors, as well as preventive and control measures, to provide references for related research on thunderstorm asthma and the development of public health policies.…”
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  8. 1608

    Review of Educational Management: Theory, Research and Practice Book by Naser Shirbagi

    Published 2020-12-01
    “…The book “Educational Management: Theory, Research, and Practice”, authored by  Ali Shirazi, has been an attempt to address the lack of educational management resources. …”
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  9. 1609

    Research on Modification of Bending Machine Sprockets and Its Influence by Xia Zhongrui, Wang Huipeng, Ou Jianbin

    Published 2024-01-01
    “…Finally, by using the method of tooth tip circle modification, the simulation models of short-modification and long-modification are established, and the variation curves of force, meshing force, transmission error and static strength of sprocket teeth are obtained. The research results show that the short-modification effectively reduces the meshing impact force in the meshing process of the bending machine chain transmission, the peak meshing force between the sprocket chains is reduced by 43.64%, and the maximum equivalent stress of the gear teeth is reduced by 14.69%. …”
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    Research on intelligent modeling and policy making of CNC brain by Jun ZHOU, Keqing LIU, Shikui WANG, Ling YANG

    Published 2023-08-01
    “…As a future-oriented new network architecture, the core idea of computing and network convergence is to manage cloud-edge-end computing network resources in a centralized or distributed way by centering on the deep integration of computing force and network resources, so as to provide computing service for users’ needs.Although the CNC has made some progress in standard setting and industrial promotion, the overall development still faces many challenges, and there are still many scientific and engineering problems to be broken through.Research on CNC and its brain was carried out, the latest progress in related fields in the industry was analyzed, and the idea of building intelligent CNC brain was put forward, hoping to throw a brick at the table, jointly promote the implementation of AI in CNC, and truly realize intelligent CNC.…”
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    Study on Status and Problem Research of Harmonic Gear Drive by Xiang Zhenlin, Li Ting, Yang Lin, Shang Yingrong

    Published 2020-07-01
    “…In recent years,thin wall and long life are the focus of research,and a large number of researches focus on stress research of cylinder,gear tooth and wave generator. …”
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