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1,223 results on '"Zhao, Yangyang"'

65. Flow Prediction of Aero Engine Driven Pump Based on QPSO-LightGBM

Author

Zhao, Yangyang, Niu, Wei, Wang, Meinan, Chinese Society of Aeronautics and Astronautics, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, and Zhang, Junjie James, Series Editor

Published
2022
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72. Lysobacter enzymogenes: a fully armed biocontrol warrior1

Author

Lin, Long, primary, Shao, Xiaolong, additional, Yang, Yicheng, additional, Murero, Aprodisia Kavutu, additional, Wang, Limin, additional, Xu, Gaoge, additional, Zhao, Yangyang, additional, Han, Sen, additional, Su, Zhenhe, additional, Xu, Kangwen, additional, Yang, Mingming, additional, Liao, Jinxing, additional, Li, Kaihuai, additional, Liu, Fengquan, additional, and Qian, Guoliang, additional

Published
2024
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77. PULP: Inner-process Isolation based on the Program Counter and Data Memory Address

Author

Zhu, Xiaojing, Chen, Mingyu, Zhao, Yangyang, Hong, Zonghui, and Guo, Yunge

Subjects
Computer Science - Cryptography and Security
Abstract

Plenty of in-process vulnerabilities are blamed on various out of bound memory accesses. Previous prevention methods are mainly based on software checking associated with performance overhead, while traditional hardware protection mechanisms only work for inter-process memory accesses. In this paper we propose a novel hardware based in-process isolation system called PULP (Protection by User Level Partition). PULP modifies processor core by associating program counter and virtual memory address to achieve in-process data isolation. PULP partitions the program into two distinct parts, one is reliable, called primary functions, and the other is unreliable, called secondary functions, the accessible memory range of which can be configured via APIs. PULP automatically checks the memory bound when executing load/store operations in secondary functions. A RISC-V based FPGA prototype is implementated and functional test shows that PULP can effectively prevent in-process bug, including the Heartbleed and other buffer overflow vulnerabilities, etc. The total runtime overhead of PULP is negligible, as there is no extra runtime overhead besides configuring the API. We run SPEC2006 to evaluate the average performance, considering the LIBC functions as secondary functions. Experimental timing results show that, running bzip2, mcf, and libquantum, PULP bears low runtime overhead (less than 0.1%). Analysis also shows that PULP can be used effectively to prevent the newest "Spectre" bug which threats nearly all out-of-order processors.

Published
2018

93. Adaptive neural network control of robotic manipulators with input constraints and without velocity measurements.

Author

Zhang, Heng, Zhao, Yangyang, Wang, Yang, and Liu, Lin

Abstract

This paper addresses the trajectory tracking problem for a class of uncertain manipulator systems under the effect of external disturbances. The main challenges lie in the input constraints and the lack of measurements of joint velocities. An extend‐state‐observer is utilized to estimate the velocity signals; then, a neural‐network‐based adaptive controller is proposed to solve the problem, where a term based on the nominal model is included to enhance the tracking ability, and the effect of uncertainties and disturbances are compensated by a neural‐network term. Compared with the existing methods, the main distinctive features of the presented approach are: (i) The control law is guaranteed to be bounded by design, instead of directly bounded by a saturation function. (ii) The trade‐off between the performance and robustness of the presented controller can be easily tuned by a parameter that depends on the size of model uncertainties and external disturbances. By virtue of the Lyapunov theorem, the convergence properties of the proposed controller are rigorously proved. The performance of the controller is validated via both simulations and experiments conducted on a two‐degree‐of‐freedom robot manipulator. [ABSTRACT FROM AUTHOR]

Published
2024
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96. Diabetes Advances Cardiomyocyte Senescence through miR-103a-3p/Rnd3/STAT3 Signaling

Author

Wu, Linxu, primary, Zhu, Xinglin, additional, Luo, Cai, additional, Chen, Yan, additional, Liu, Yin, additional, Zhao, Yangyang, additional, Pan, Shanshan, additional, Shi, Kaijia, additional, Xing, Jingci, additional, Lin, Xuebin, additional, Qiu, Jianmin, additional, Zhang, Shuya, additional, Chai, Jinxuan, additional, Shen, Zhihua, additional, Jie, Wei, additional, and Guo, Junli, additional

Published
2024
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