Search

Your search keyword '"Shen, Zhaoyang"' showing total 132 results
Start Over Author "Shen, Zhaoyang"
132 results on '"Shen, Zhaoyang"'

6. Machine Learning for Electronic Design Automation: A Survey

Author

Huang, Guyue, Hu, Jingbo, He, Yifan, Liu, Jialong, Ma, Mingyuan, Shen, Zhaoyang, Wu, Juejian, Xu, Yuanfan, Zhang, Hengrui, Zhong, Kai, Ning, Xuefei, Ma, Yuzhe, Yang, Haoyu, Yu, Bei, Yang, Huazhong, and Wang, Yu

Subjects
Electrical Engineering and Systems Science - Signal Processing, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Systems and Control
Abstract

With the down-scaling of CMOS technology, the design complexity of very large-scale integrated (VLSI) is increasing. Although the application of machine learning (ML) techniques in electronic design automation (EDA) can trace its history back to the 90s, the recent breakthrough of ML and the increasing complexity of EDA tasks have aroused more interests in incorporating ML to solve EDA tasks. In this paper, we present a comprehensive review of existing ML for EDA studies, organized following the EDA hierarchy., Comment: Accepted by TODAES. The first 10 authors are ordered alphabetically

Published
2021

13. SCAN: Spatiotemporal Cloud Atlas for Neural cells

Author

Deng, Yushan, primary, Lu, Yubao, additional, Li, Mengrou, additional, Shen, Jiayi, additional, Qin, Siying, additional, Zhang, Wei, additional, Zhang, Qiang, additional, Shen, Zhaoyang, additional, Li, Changxiao, additional, Jia, Tengfei, additional, Chen, Peixin, additional, Peng, Lingmin, additional, Chen, Yangfeng, additional, Zhang, Wensheng, additional, Liu, Hebin, additional, Zhang, Liangming, additional, Rong, Limin, additional, Wang, Xiangdong, additional, and Chen, Dongsheng, additional

Published
2023
Full Text
View/download PDF

16. Analog of electromagnetically induced transparency from electric dipole and quadrupole excitation with a Reuleaux triangle split-ring resonator.

Author

Shen, Zhaoyang and Wu, Jiong

Subjects
*RESONATORS, *QUADRUPOLES, *BREWSTER'S angle, *TRIANGLES, *CURRENT distribution
Abstract

We simulate, measure, and analyze an electromagnetically induced transparency-like (EIT-like) metamaterial with a unit cell composed of a Reuleaux triangle split-ring resonator (RT-SRR) and a Y-type strip (YS). The transparency peak of the EIT-like metamaterial is located at 12.54 GHz, and the transmission coefficient is 91%. The electric field distributions indicate that the RT-SRR plays the role of the bright mode, and the YS plays the role of the dark mode. The coupling between the bright and dark modes leads to the EIT-like phenomenon. The surface current distributions and the calculated results for the radiated power of the electric multipoles are used to analyze the physical mechanism behind the transparency peak, which can be understood in terms of the electric dipole interacting with the electric quadrupole. As the polarization angle increases, the transmission coefficient of the transparency peak decreases, indicating polarization sensitivity. When the YS is rotated around the center and the RT-SRR is kept fixed, the EIT-like phenomenon appears and disappears. Therefore, the proposed metamaterial has potential applications in detectors and switches. The experimental results are well-matched with the simulation results. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

20. SCAN: Spatiotemporal Cloud Atlas for Neural cells.

Author

Deng, Yushan, Lu, Yubao, Li, Mengrou, Shen, Jiayi, Qin, Siying, Zhang, Wei, Zhang, Qiang, Shen, Zhaoyang, Li, Changxiao, Jia, Tengfei, Chen, Peixin, Peng, Lingmin, Chen, Yangfeng, Zhang, Wensheng, Liu, Hebin, Zhang, Liangming, Rong, Limin, Wang, Xiangdong, and Chen, Dongsheng

Published
2024
Full Text
View/download PDF

22. Ultrabroadband Absorbers and Bi-Functional Sensors for Water-Based Metamaterials

Author

Chen, Yan, Shen, Zhaoyang, Yang, Helin, and Zhang, Qinghe

Abstract

In this study, we designed and observed an ultrabroadband absorber and bi-functional sensor based on a water-based metamaterial (MM). The cavity material of the unit cell was photosensitive resin, the internal water layer was formed by connecting two opposite cross-types and rectangles, and the bottom layer was a copper backplate. Simulation results exhibited that the absorption rate for the water-based MM was above 90% in the frequency ranges of 3.01–3.12 and 13.31–57.75 GHz. Experimental results were in good agreement with the simulation results. We observed and analyzed the distribution of electric and magnetic fields at the absorption peaks and determined that the physical mechanism was the strong magnetic resonance between the water layer and the surrounding photosensitive resin. Owing to the irregular shape of the water layer, the absorption properties of the proposed MM were sensitive to incidence and polarization angles. At a higher polarization angle of 45°, the corresponding absorption band changed to 3.28–4.34 and 13.31–57.75 GHz, covering the operating bands for 5G communication. The proposed water-based MMs were also sensitive to the refractive index and have two detection frequencies. The amplitude and frequency variations with different cover materials can be sensed. The sensitivities corresponding to the two resonance points were 25.58 dB/RIU and 5.04 GHz/RIU and 27.85 dB/RIU and 4.09 GHz/RIU, respectively, exhibiting good sensing performance. Thus, the designed water-based MMs have potential applications in 5G signal shielding and biological detection.

Published
2024
Full Text
View/download PDF

25. Research of Optimal Arrangement of Sensor for Wind Turbine Gearbox based on Immune Algorithm

Author

Song Zhongyue, Li Haiyang, Ma Jiaojiao, Zhen Dong, Shi Zhanqun, and Shen Zhaoyang

Subjects
Immune algorithm, Measuring point of sensor, Arrangement optimization, Wind turbine, Mechanical engineering and machinery, TJ1-1570
Abstract

The signal acquisition is a prerequisite for fault analysis and diagnosis,but also the necessary condition in the fault diagnosis of wind turbine gearbox. At present,the most mature method is vibration signal analysis method,however,because the internal structure of the gearbox can not be destroyed,it can only lead to vibration sensor installed on the external wall of the gearbox. The sensors arrangement of gearbox will directly influence the quality of diagnostic accuracy. By using the immune algorithm to solve the problem of sensor arrangement in fault diagnosis of wind turbine,the gearbox vibration source coordinates is constructed,the optimal acquisition path of vibration transmission is calculated,the best measuring point is determined. The placement optimization of the measuring point for sensor is realized,an effective method for sensor arrangement is provided.

Published
2016
Full Text
View/download PDF

26. Sirt3 deficiency accelerates ovarian senescence without affecting spermatogenesis in aging mice

Author

Zhu, Jing, primary, Yang, Qingling, additional, Li, Hui, additional, Wang, Yujiao, additional, Jiang, Yuqing, additional, Wang, Huan, additional, Cong, Luping, additional, Xu, Jianmin, additional, Shen, Zhaoyang, additional, Chen, Wenhui, additional, Zeng, Xinxin, additional, Wang, Mengchen, additional, Lei, Min, additional, and Sun, Yingpu, additional

Published
2022
Full Text
View/download PDF

34. An electromagnetic parameter retrieval method based on deep learning.

Author

Huang, Siqi, Cao, Zilong, Yang, Helin, Shen, Zhaoyang, and Ding, Xiaoxia

Subjects
DEEP learning, INHOMOGENEOUS materials, RESONANCE
Abstract

The electromagnetic parameter retrieval method based on scattering (S) parameters is widely used because S parameters are easy to obtain. As a classic S parameters retrieval method, the Nicolson–Ross–Weir (NRW) algorithm has problems such as half-wave resonance, phase angle jump, and multivaluedness. In this work, an electromagnetic parameter retrieval method based on deep learning is proposed, which aims to solve the multivaluedness problem in the traditional NRW method. The method we proposed is suitable for retrieval of inhomogeneous medium that satisfies the theory of effective medium. The simulation shows that the electromagnetic parameter retrieval method based on deep learning has high calculation accuracy without the multivaluedness problem. [ABSTRACT FROM AUTHOR]

Published
2020
Full Text
View/download PDF

41. An ultra-wideband, polarization insensitive, and wide incident angle absorber based on an irregular metamaterial structure with layers of water.

Author

Shen, Zhaoyang, Huang, Xiaojun, Yang, Helin, Xiang, Tianyu, Wang, Chengwen, Yu, Zetai, and Wu, Jiong

Subjects
*METAMATERIALS, *OPTICAL properties, *DIELECTRIC properties of metamaterials, *ULTRA-wideband devices, *THREE-dimensional printing, *BANDWIDTHS, *POLARIZATION (Nuclear physics), *EQUIPMENT & supplies
Abstract

We present the design of a new type of irregular metamaterial structure that can achieve ultra-wideband absorption. The structure is created using 3D-printing to create a shell and contains multiple layers of water. The structure can achieve absorption levels greater than 0.9 in the 6.8–21.0 GHz range, with a relative bandwidth of 101.93%. The absorber also works in a wide range of incidence angles with different modes and is polarization insensitive. Measurement results obtained from a microwave experiment coincide well with the simulation results. The proposed metamaterial could be broadly applied in various civilian and military products in the future. [ABSTRACT FROM AUTHOR]

Published
2018
Full Text
View/download PDF

43. Machine Learning for Electronic Design Automation: A Survey

Author

Huang, Guyue, primary, Hu, Jingbo, additional, He, Yifan, additional, Liu, Jialong, additional, Ma, Mingyuan, additional, Shen, Zhaoyang, additional, Wu, Juejian, additional, Xu, Yuanfan, additional, Zhang, Hengrui, additional, Zhong, Kai, additional, Ning, Xuefei, additional, Ma, Yuzhe, additional, Yang, Haoyu, additional, Yu, Bei, additional, Yang, Huazhong, additional, and Wang, Yu, additional

Published
2021
Full Text
View/download PDF

44. Fault Diagnosis of Planetary Gearbox Based on Adaptive Order Bispectrum Slice and Fault Characteristics Energy Ratio Analysis

Author

Dong Zhen, Hao Zhang, Shen Zhaoyang, Fengshou Gu, and Zhanqun Shi

Subjects
0209 industrial biotechnology, Computer science, Feature extraction, 02 engineering and technology, Fault (power engineering), lcsh:Chemical technology, Biochemistry, Signal, Article, Analytical Chemistry, 020901 industrial engineering & automation, 0203 mechanical engineering, fault characteristics energy ratio, lcsh:TP1-1185, Electrical and Electronic Engineering, Instrumentation, Sideband, fault diagnosis, Atomic and Molecular Physics, and Optics, planetary gearbox, Vibration, 020303 mechanical engineering & transports, Modulation, adaptive order bispectrum slice, Bispectrum, Algorithm, Energy (signal processing)
Abstract

The vibration of a planetary gearbox (PG) is complex and mutually modulated, which makes the weak features of incipient fault difficult to detect. To target this problem, a novel method, based on an adaptive order bispectrum slice (AOBS) and the fault characteristics energy ratio (FCER), is proposed. The order bispectrum (OB) method has shown its effectiveness in the feature extraction of bearings and fixed-shaft gearboxes. However, the effectiveness of the PG still needs to be explored. The FCER is developed to sum up the fault information, which is scattered by mutual modulation. In this method, the raw vibration signal is firstly converted to that in the angle domain. Secondly, the characteristic slice of AOBS is extracted. Different from the conventional OB method, the AOBS is extracted by searching for a characteristic carrier frequency adaptively in the sensitive range of signal coupling. Finally, the FCER is summed up and calculated from the fault features that were dispersed in the characteristic slice. Experimental data was processed, using both the AOBS-FCER method, and the method that combines order spectrum analysis with sideband energy ratio (OSA-SER), respectively. Results indicated that the new method is effective in incipient fault feature extraction, compared with the methods of OB and OSA-SER.

Published
2020

Catalog

Books, media, physical & digital resources
See catalog results