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arXiv 2024年

作者： Liang, Xudong Ding, Yimiao Yuan, Zihao Jiang, Junqi Xie, Zongling Fei, Peng Sun, Yixuan Gu, Guoying Zhong, Zheng Chen, Feifei Si, Guangwei Gong, Zhefeng School of Science Harbin Institute of Technology Shenzhen518055 China Department of Neurology The Fourth Hospital and School of Brain Science and Brain Medicine Zhejiang University School of Medicine Hangzhou310058 China Liangzhu Laboratory MOE Frontier Science Center for Brain Science and Brain-Machine Integration State Key Laboratory of Brain-Machine Intelligence Zhejiang University 1369 West Wenyi Road Hangzhou311121 China NHC and CAMS Key Laboratory of Medical Neurobiology Zhejiang University Hangzhou310058 China State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong University Shanghai200240 China Robotics Institute School of Mechanical Engineering Shanghai Jiao Tong University Shanghai200240 China State Key Laboratory of Brain and Cognitive Science Institute of Biophysics Chinese Academy of Sciences 15 Datun Road Beijing100101 China University of Chinese Academy of Sciences 19A Yuquan Road Beijing100049 China Huazhong University of Science and Technology Optical and Electronic Information Wuhan430074 China Zhejiang Lab. Hangzhou311121 China

The Drosophila larva, a soft-body animal, can bend its body and roll efficiently to escape danger. However, contrary to common belief, this rolling motion is not driven by the imbalance of gravity and ground reaction forces. Through functional imaging and ablation experiments, we demonstrate that the sequential actuation of axial muscles within an appropriate range of angles is critical for generating rolling. We model the interplay between muscle contraction, hydrostatic skeleton deformation, and body-environment interactions, and systematically explain how sequential muscle actuation generates the rolling motion. Additionally, we constructed a pneumatic soft robot to mimic the larval rolling strategy, successfully validating our model. This mechanics model of soft-body rolling motion not only advances the study of related neural circuits, but also holds potential for applications in soft robotics. © 2024, CC BY.

关键词： Pneumatics

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Evaluation of Simulated SAR Images Created by Generative Models Based on Pixel-wise Similarity 6

Evaluation of Simulated SAR Images Created by Generative Mod...

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6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019

作者： Zhao, Yan Zhao, Lingjun Ji, Kefeng Kuang, Gangyao State Key Lab. of Complex Electromagnetic Environment Effects on Electronics and Information System National University of Defense Technology Changsha410073 China

ISBN: (纸本)9781728129129

In recent years, deep learning has become a research hotspot when processing Synthetic Aperture Radar(SAR) data. Due to high cost of SAR image acquisition, many generative models are proposed to simulate SAR images. However, it's still hard to assess which algorithm performs better. We conduct a multi-faced large-scale empirical study on generative models including Generative Adversarial Nets(GANs) and Encoder-Decoder based models for simulating SAR images and evaluate performance of these models using pixel-wise similarity. Results show that the difference is small in contour similarity for generated SAR images produced by various of networks, however, there exists sharp difference in terms of pixel correlation and Fréchet Inception Distance(FID). The Variant Autoencoder network has certain advantages in many indicators under limited training data. Pixel correlation is rather accurate taking into account multi-features of SAR images in low level dimension and provides meaningful guidance in evaluating quality of SAR images. © 2019 IEEE.

关键词： Generative adversarial networks

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A two-stage airport detection model on large scale SAR images based on faster R-CNN 11

A two-stage airport detection model on large scale SAR image...

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11th International Conference on Digital Image Processing, ICDIP 2019

作者： Li, Chuyin Zhao, Lingjun Kuang, Gangyao State Key Lab. of Complex Electromagnetic Environment Effects on Electronics and Information System National University of Defense Technology Changsha410073 China

ISBN: (数字)9781510630765

ISBN: (纸本)9781510630758

In this paper, we proposed a novel two-stage model that works in a hierarchical architecture to detect airports on synthetic aperture radar (SAR) images. In the first rough stage, an improved line segment detector (LSD) which tackles the line segments disconnection problem in SAR images is used to extract candidate airport regions coarsely. In the second fine stage, a well-trained Faster R-CNN with residual networks (ResNet) implementation (called ResFaster RCNN) is applied to each candidate regions to discriminate airport and non-airport regions and locate the airport much more precisely. Transfer learning and some improvement measures are applied to the networks. With this two-stage model, we can not only use both low-level and high-level features of airports synthetically but also avoid the information loss problem caused by resizing when large scene images are input into the networks. Experiments on large-scale SAR images have proved that the proposed method can reach a detection rate of 95% with low false alarm rate and show a great enhancement over other existing methods. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Synthetic aperture radar

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A Polyimide Diaphragm-Based Extrinsic Optical Fiber Fabry-Perot Acoustic Sensor for the Detection of High-Frequency Ultrasonic Signals in Transformer Oil 7

A Polyimide Diaphragm-Based Extrinsic Optical Fiber Fabry-Pe...

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7th IEEE International Conference on High Voltage Engineering and Application, ICHVE 2020

作者： Qian, Guochao Peng, Qingjun Peng, Hui Wang, Shuchao Zhang, Zhixian Lei, Jiali Electric Power Research Institute Yunnan Power Grid Limited Company Kunming China Yunnan Transformer Electric Limited Company Kunming China State Key Lab. of Transmission Distribution Equipment and Power System Safety and New Technology School of Electrical Engineering Chongqing University Chongqing China

ISBN: (纸本)9781728155111

This article shows an extrinsic optical fiber Fabry-Perot (F-P) acoustic sensor based on a polyimide diaphragm whose effective vibration area and thickness respectively are approximate 4.906 mm2 and 8.5\ \mu \mathrm{m} for the high-quality detection of high-frequency ultrasonic signals in transformer oil. Directional test indicates this proposed sensor is an omnidirectional sensor. And experimental results of the detection for high-frequency ultrasonic signals in transformer oil indicate this proposed sensor has a flat frequency response, which demonstrates this proposed sensor can achieve the high-quality detection for high-frequency ultrasonic signals in transformer oil. Therefore, this proposed sensor also has excellent potential for the detection of partial discharges occurring in transformer oil in any direction. © 2020 IEEE.

关键词： Frequency response

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Room-temperature waveguide integrated quantum register in a semiconductor photonic platform

arXiv

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arXiv 2023年

作者： Hu, Haibo Zhou, Yu Yi, Ailun Bao, Tongyuan Liu, Chengying Luo, Qi Zhang, Yao Wang, Zi Li, Qiang Lu, Dawei Liu, Zhengtong Xiao, Shumin Ou, Xin Song, Qinghai Ministry of Industry and Information Technology Key Lab of Micro-Nano Optoelectronic Information System Guangdong Provincial Key Laboratory of Semiconductor Optoelectronic Materials and Intelligent Photonic Systems Harbin Institute of Technology Shenzhen518055 China Pengcheng Laboratory Shenzhen518055 China Shenzhen518045 China National Key Laboratory of Materials for Integrated Circuits Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai200050 China The Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing100049 China Institute of Advanced Semiconductors Zhejiang Provincial Key Laboratory of Power Semiconductor Materials and Devices ZJU-Hangzhou Global Scientific and Technological Innovation Center Zhejiang Hangzhou311200 China State Key Laboratory of Silicon Materials and Advanced Semiconductors School of Materials Science and Engineering Zhejiang University Hangzhou310027 China Shenzhen Institute for Quantum Science and Engineering Department of Physics Southern University of Science and Technology Shenzhen518055 China Collaborative Innovation Center of Extreme Optics Shanxi University Shanxi Taiyuan030006 China

Quantum photonic integrated circuits are reshaping quantum networks and sensing by providing compact, efficient platforms for practical quantum applications. Despite continuous breakthroughs, integrating entangled registers into photonic devices on a CMOS-compatible platform presents significant challenges. Herein, we present single electron-nuclear spin entanglement and its integration into a silicon-carbide-on-insulator (SiCOI) waveguide. We demonstrate the successful generation of single divacancy electron spins and near-unity spin initialization of single 13C nuclear spins. Both single nuclear and electron spin can be coherently controlled and a maximally entangled state with a fidelity of 0.89 has been prepared under ambient conditions. Based on the nanoscale positioning techniques, the entangled quantum register has been further integrated into SiC photonic waveguides for the first time. We find that the intrinsic optical and spin characteristics of the register are well preserved and the fidelity of the entangled state remains as high as 0.88. Our findings highlight the promising prospects of the SiCOI platform as a compelling candidate for future scalab.e quantum photonic applications. Copyright © 2023, The Authors. All rights reserved.

关键词： Silicon on insulator technology

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Semidiscrete optical vortex droplets in quasi-phase-matched photonic crystals

arXiv

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arXiv 2023年

作者： Xu, Xiaoxi Zhao, Feiyan Huang, Jiayao He, Hexiang Zhang, Li Chen, Zhaopin Nie, Zhongquan Malomed, Boris A. Li, Yongyao School of Physics and Optoelectronic Engineering Foshan University Foshan528000 China School of Electronic and Computer Engineering Peking University Shenzhen518055 China Physics Department Solid-State Institute Technion Haifa32000 Israel Key Lab of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province College of Electronic Information and Optical Engineering Taiyuan University of Technology Taiyuan030024 China Department of Physical Electronics School of Electrical Engineering Faculty of Engineering Tel Aviv University Tel Aviv69978 Israel Instituto de Alta Investigación Universidad de Tarapacá Casilla 7D Arica Chile Guangdong-Hong Kong-Macao Joint Laboratory for Intelligent Micro-Nano Optoelectronic Technology Foshan University Foshan528000 China

A new scheme for producing semidiscrete self-trapped vortices ("swirling photon droplets") in photonic crystals with competing quadratic (χ(2)) and self-defocusing cubic (χ(3)) nonlinearities is proposed. The photonic crystal is designed with a striped structure, in the form of spatially periodic modulation of the χ(2) susceptibility, which is imposed by the quasi-phase-matching technique. Unlike previous realizations of semidiscrete optical modes in composite media, built as combinations of continuous and arrayed discrete waveguides, the semidiscrete vortex "droplets" are produced here in the fully continuous medium. This work reveals that the system supports two types of semidiscrete vortex droplets, viz., onsite- and intersite-centered ones, which feature, respectively, odd and even numbers of stripes, N. Stability areas for the states with different values of N are identified in the system's parameter space. Some stability areas overlap with each other, giving rise to the multistability of states with different N. The coexisting states are mutually degenerate, featuring equal values of the Hamiltonian and propagation constant. An experimental scheme to realize the droplets is outlined, suggesting new possibilities for the long-distance transmission of nontrivial vortex beams in nonlinear media. © 2023, CC BY.

关键词： Photonic crystals

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Tolerance analysis of an assembly by considering part deformation 16

Tolerance analysis of an assembly by considering part deform...

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16th CIRP Conference on Computer Aided Tolerancing, CIRP CAT 2020

作者： Junnan, Zhi Yanlong, Cao Fan, Liu Ting, Liu Jiangxin, Yang State Key Laboratory of Fluid Power and Mechatronic Systems College of Mechanical Engineering Zhejiang University Hangzhou310027 China Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province College of Mechanical Engineering Zhejiang University Hangzhou310027 China Key Lab. of Digit. Des. and Intelligent Mfg. for Creative Cultural Products of Zhejiang Province Lishui323000 China

Part error will cause the assembly contact state between parts to deviate from the nominal state, resulting in error accumulation and propagation. Therefore, reasonable tolerance has to be applied to control the corresponding errors. Currently there are a number of tolerance analysis methods, however, most of them typically only consider dimensional and geometrical tolerances in the design phase. Analysis results without considering part deformation which was commonly observed in the realistic working conditions could lead to possible assembly failures. In this paper, both manufacturing and deformation errors are taken into account to establish a more comprehensive deviation calculation model based on Polytope-Skin Model Shape method. The total assembly error can be determined by calculating the Minkowski sum. The effectiveness of the proposed method is verified in a case study about an assembly of one-joint manipulator in which the external force is the cause of the change on part shape and size. © 2020 The Authors. Published by Elsevier B.V.

关键词： Deformation

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An algorithm based on ABNL-MRF model for SAR image segmentation 2

An algorithm based on ABNL-MRF model for SAR image segmentat...

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2019 2nd International Conference on Advanced Algorithms and Control Engineering, ICAACE 2019

作者： Qingping, Wang Tao, Xie Boyuan, Liu Chang, Wang Naichang, Yuan State Key Lab. of Complex Electromagnetic Environ. Effects on Electronics and Information System National University of Defense Technology Changsha410073 China

In this letter, a segmentation method is proposed based on an adaptive Bayesian non-local MRF (ABNL-MRF) model. Aimed at the multiplicative speckle existing in SAR images, a patch-similarity measure based on a ratio of probability is introduced firstly. Then non-local similar pixel-blocks are adopted to guide the segmentation of the noisy image. However, non-local method over-smoothes edge regions and makes them inaccurate though it is robust for speckle. A rectification index is designed according to the homogeneity degree of local window. Based on the value of rectification index, a non-local constraint term is adaptively integrated into the potential function. Thus a suitable prior is defined that guarantees both the smoothness of the denoised image and the preservation of its structure. Experimental results demonstrate the very good performance of the proposed method. © Published under licence by IOP Publishing Ltd.

关键词： Speckle

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A Sensitivity-Enhanced Fiber Grating Voltage Sensor Based on Giant Magnetostrictive Material Applied for Voltage Detection 7

A Sensitivity-Enhanced Fiber Grating Voltage Sensor Based on...

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7th IEEE International Conference on High Voltage Engineering and Application, ICHVE 2020

作者： Wang, Shuchao Yang, Wenlong Zhou, Quan Chen, Weigen Xiong, Yanling Liu, Fan State Key Lab. of Transmission Distribution Equipment and Power System Safety and New Technology School of Electrical Engineering Chongqing University Chongqing China Major of Optoelectronic Information and Science School of Science Harbin University of Science and Technology Department of Physics Harbin China Electric Power Research Institute Hubei Power Grid Limited Company Wuhan China

ISBN: (纸本)9781728155111

This article shows a sensitivity-enhanced fiber grating voltage sensor based on giant magnetostrictive material using the edge demodulation system of multiple coarse wavelength division multiplexers (CWDMs). We firstly verified any number of CWDMs in series within 19 can enhance the sensitivity of this proposed sensor in theory. And the experimental result of voltage detection indicates this sensitivity of the sensor by using two CWDMs randomly as the demodulation system is 1.54 times that of this sensor by using a CWDM as the demodulation system, namely, the sensitivity of the proposed sensor can indeed be enhanced by using any two CWDMs as the demodulation system. This work opens a door for the practical usage of this proposed sensor in high-voltage detection of power grids. © 2020 IEEE.

关键词： Fiber Bragg gratings

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Globally optimal consensus maximization for robust visual inertial localization in point and line map

arXiv

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arXiv 2020年

作者： Jiao, Yanmei Wang, Yue Fu, Bo Tan, Qimeng Chen, Lei Wang, Minhang Huang, Shoudong Xiong, Rong State Key Laboratory of Industrial Control and Technology Zhejiang University Hangzhou China Beijing Key Laboratory of Intelligent Space Robotic System Technology and Applications Beijing Institute of Spacecraft System Engineering Beijing China Application Lab Huawei Incorporated Company China University of Technology Sydney Australia

Map based visual inertial localization is a crucial step to reduce the drift in state estimation of mobile robots. The underlying problem for localization is to estimate the pose from a set of 3D-2D feature correspondences, of which the main challenge is the presence of outliers, especially in changing environment. In this paper, we propose a robust solution based on efficient global optimization of the consensus maximization problem, which is insensitive to high percentage of outliers. We first introduce translation invariant measurements (TIMs) for both points and lines to decouple the consensus maximization problem into rotation and translation subproblems, allowing for a two-stage solver with reduced search space. Then we show that (i) the rotation can be estimated by minimizing TIMs using only 1-dimensional branch-and-bound (BnB), (ii) the translation can be estimated by running 1-dimensional search for each of the three axes with prioritized progressive voting. Compared with the popular randomized solver, our solver achieves deterministic global convergence without requiring an initial value. Furthermore, ours is exponentially faster compared with existing BnB based methods. Finally, our experiments on both simulation and real-world datasets demonstrate that the proposed method gives accurate pose estimation even in the presence of 90% outliers (only 2 inliers). Copyright © 2020, The Authors. All rights reserved.

关键词： Statistics

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