Showing 1,481 - 1,500 results of 124,197 for search '"Research"', query time: 0.17s Refine Results
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    RESEARCH ON SIZE EFFECT ON FRACTURE TOUGHNESS OF PIPELINE STEEL by ZHEN Ying, YI HaiJiao, CAO YuGuang, ZHANG ShiHua, SHI YongJin

    Published 2019-01-01
    “…It is of both scientific and engineering significance to carry out a thorough study on its size effect.At present,the research on size effect of fracture toughness of metal materials is mainly focused on the linear elastic fracture parameter stress intensity factor K,and mostly only the influence of specimen thickness is considered. …”
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    Research of the Nutrition Problem: Methodological Approaches and Daily Practices by A. V. Noskova

    Published 2014-12-01
    “…The article analyzes some scientific approaches to nutrition research and current nutrition practices for students of two Moscow Universities. …”
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    RESEARCH ON DYNAMIC CHARACTERISTIC AND RELIABILITY OF SHEARER CUTTING UNIT by MAO Jun, MIAO LiYe, XIE Miao

    Published 2015-01-01
    “…Based on the coal rock cutting theory,simulated the load characteristic of the roller in the process of during coal rock; with the flexible-body dynamics as the theoretical basis to establish rigid-flexible coupling model of cutting unit,simulate the process of height adjustment by ADAMS and get the load response of link point; used Workbench to get the stress distribution of ranging arm when the link point force is maximum during the process of height adjustment; with linear cumulative damage rule as the theoretical basis,used Workbench to estimate the fatigue life of the ranging arm to verify the results of the reliability analysis and load response analysis.This paper provides a new method to research on dynamic characteristic and reliability of shearer cutting unit.…”
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  11. 1491

    Research status and development trend of optical communication technology by Xiangdong LV, Xuerui LIANG, Qianchen YU, Weidong MA

    Published 2019-02-01
    “…With the rapid growth of network bandwidth demand and the development of new applications and network services,the development of optical networks is facing a huge bottleneck of transmission capacity,switching granularity and network control.In order to solve these problems,researchers around the world have put forward new solutions.The technological innovation in optical networks in recent years was discussed,the development of dynamic reconfigurable optical network,integrated optoelectronics and optical fiber transmission technology was mainly discussed,and the future development trend of optical networks was analyzed in order to provide reference for related research.…”
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  12. 1492

    Research Status of CPM for Satellite-Terrestrial Integrated Network by Zihao PAN, Chen XIE, Heng WANG, Daoxing GUO

    Published 2023-03-01
    “…Around the vision of "full coverage" of the new generation of mobile communication system (6G), satelliteterrestrial integration, as one of the key technologies, is the development direction of the future wireless communication system.The construction of satellite-terrestrial integration network and deep integration need reasonable waveforms at physical layer.In view of the problems of transmission in satellite-terrestrial integration, the signifi cant advantages and practicability of continuous phase modulation (CPM) signal in spectral effi ciency and energy effi ciency were analyzed.The research progress of CPM signal at receiver in mobile communication system from the time and frequency domain were discussed, which provided support for CPM related research in satellite-terrestrial integration in the future.…”
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  13. 1493

    Summary of N, P, and K Research with Eggplant in Florida by George Hochmuth, Ed Hanlon

    Published 2010-10-01
    “…SL 330/CV228: Summary of N, P, and K Research with Eggplant in Florida (ufl.edu)   …”
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  14. 1494

    Research on the robustness of convolutional neural networks in image recognition by Dian LIN, Li PAN, Ping YI

    Published 2022-06-01
    “…Convolutional neural network is one of the key technologies in the application of image recognition and processing in artificial intelligence.Its wide application makes researches on its robustness more and more important.Previous researches on robustness of neural networks were too sweeping and most of them focused on adversarial robustness, which causes difficulty in further study in the mechanism of neural network robustness.The related researches of neuroscience were introduced and the concept of visual robustness was put forward.By studying the similarity and difference between neural network models and human visual system, the internal mechanism and faults of neural network robustness were revealed.The researches of neural network robustness in recent years were reviewed, and the reasons for the lack of robustness of neural network models were analyzed.The lack of robustness of neural networks is reflected in their sensitivity to small perturbations.The reason is that neural networks tend to learn high-frequency information for calculation and inference, which is difficult for humans to recognize.High-frequency information is easily affected by perturbations, and eventually causes mistakes of models.Previous researches on robustness mostly focused on mathematical properties of models, and were limited in the natural faults of neural networks.Visual robustness extends the traditional concept of robustness.The traditional concept of robustness measures the discrimination ability of models for distorted image examples.Distorted examples and clean examples can get correct outputs through robust models.Visual robustness measures the consistency between models and humans in discrimination ability.Visual robustness combines the research methods and achievements of neuroscience and psychology with artificial intelligence.The development of neuroscience in the field of vision were reviewed, and the application of research methods of cognitive psychology in neural network robustness were discussed.Human visual system has advantages in learning and abstract ability, whill neural network models have better performance in calculation speed and memory.The difference between the physiological structure of human brain and the logical structure of neural network models is the key factor leading to the problem of robustness of neural networks.The research of visual robustness requires deeper understanding of human visual system.Revealing the differences in cognitive mechanism between human visual system and neural network models and effectively improving the algorithm are the development trends of neural network robustness and even artificial intelligence.…”
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    Good Practices in Empirical Corporate Finance and Accounting Research by Marek Gruszczyński

    Published 2018-08-01
    “…This paper presents the risks of quantitative research pertaining to corporate finance and accounting. …”
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