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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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Weighted Null Vector Initialization and its Application to Phase Retrieval

Weighted Null Vector Initialization and its Application to P...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Kaihui Liu Lingling Li Liangtian Wan School of Electrical Engineering & Intelligentization DGUT State Key Lab. of Mechanical System & Vibration Shanghai Jiao Tong University School of Software Dalian University of Technology

ISBN: (数字)9781509066315

ISBN: (纸本)9781509066322

Phase retrieval problem is an nonlinear inverse problem of recovering real- or complex-valued signal from quadratic measurements, which arises in various applications. The best-known algorithms for solving this problem are non-convex methods starting with spectral initializers that provide an initial point within a local basin sufficiently close to the target signal. This paper introduces a simple method, called weighted null vector initialization (WNI), which can be used to compute accurate initialization vectors for solving non-convex phase retrieval. The introduced WNI method is more robust against measurement noise and outperforms the best spectral initializer, and null initializer. Simulation results are provided to illustrate the effectiveness of the proposed method.

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Exploring a Bayesian Optimization Framework Compatible with Digital Standard Flow for Soft-Error-Tolerant Circuit

Exploring a Bayesian Optimization Framework Compatible with ...

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Design Automation Conference

作者： Yan Li Xiaoyoung Zeng Zhengqi Gao Liyu Lin Jun Tao Jun Han Xu Cheng Mehdi Tahoori Xiaoyang Zeng State Key Lab. ASIC & System School of Microelectronics Fudan University Shanghai China Chair of Dependable Nano Computing Karlsruhe Institute of Technology Karlsruhe Germany

ISBN: (数字)9781728110851

ISBN: (纸本)9781728158020

Soft error is a major reliability concern in advanced technology nodes. Although mitigating Soft Error Rate (SER) will inevitably sacrifice area and power, few studies paid attention to optimization methods to explore trade-offs between area, power and SER. This paper proposes an optimization framework based on Bayesian approach for soft-error-tolerant circuit design. It comprises two steps:1) data preprocessing and 2) Bayesian optimization. In the preprocessing step, a strategy incorporating k-means algorithm and a novel sequencing algorithm is used to cluster Flip-Flops (FFs) with similar SER in order to reduce the dimensionality for the subsequent step. Bayesian Neural Network (BNN) is the applied surrogate model for acquiring the posterior distribution of three design metrics, while the Lower confidence bound (LCB) functions are employed as acquisition functions to select the next point based on BNN when optimizing. Finally, the non-dominated sorting genetic algorithm (NSGA-II) is used to search the Pareto Optimal Front (POF) solutions of three LCB functions. Experimental results demonstrate the proposed framework has a 1.4x improvement in accuracy and a 70% reduction in SER with acceptable increases in power and area.

关键词： Optical fibers Sequential analysis Neural networks Clustering algorithms Pareto optimization Bayes methods Circuit synthesis

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Radar Signal Recognition Based on Squeeze-and-Excitation Networks

Radar Signal Recognition Based on Squeeze-and-Excitation Net...

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2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019

作者： Qu, Qizhe Wei, Shunjun Su, Hao Wang, Mou Shi, Jun Hao, Xiaojun State Key Lab. of Complex Electromagnetic Environment Effects on Electronics and Information System Luoyang471003 China University of Electronic Science and Technology of China Chengdu611731 China

ISBN: (纸本)9781728123455

Classification and recognition of radar signals is an important part of modern warfare. Traditional radar signal recognition method based on the pulse description word may be not suitable for the complex electromagnetic environment. In this paper, a novel radar signal recognition method based on Squeeze-and-Excitation networks is proposed. Firstly, time-domain, frequency-domain and time-frequency-domain features of five kinds of radar signals are transformed into images. Then the images are classified by convolutional neural networks and output the result of each domain. Finally, the results of the three domains are combined to obtain the correct identification results. And the recognition effects of three different modules are compared. The experiments prove the efficiency of our method, especially on different SNR condition and center frequency. And confusion matrixes demonstrate that under the low SNR condition, our method still has a good recognition effect and are better than traditional radar signal recognition method based on PDW. © 2019 IEEE.

关键词： Convolution

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Design and test of ceramic knife-edge seal for in-situ heating system of extracting volatile matter from lunar soil

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Advances in Space Research 2025年

作者： Yinchao Wang Yuanling Sun Jianbo Zhou Bowei Wang Junyue Tang Zixiao Lu Huazhi Chen Bo Wang Xiaobo Su Shengyuan Jiang School of Mechatronics and Engineering Shenyang Aerospace University Shenyang 110136 China Key Laboratory of Rapid Development & Manufacturing Technology for Aircraft (Shenyang Aerospace University) Ministry of Education Shenyang 110136 China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin 150001 China Nanometer Intelligent Sensor Lab National Center for Nanoscience and Technology Beijing 100190 China China Academy of Space Technology Beijing 100190 China Sichuan boffins robotic and robotizatian Co. LTD Chengdu 610052 China

In the pursuit of accurate lunar soil volatile exploration, in-situ deep space sampling analysis offers unparalleled preservation of sample integrity. A critical challenge lies in ensuring a secure sealing environment. This paper introduces an innovative sealing method utilising a ceramic blade to compress a non-metallic seal. Initially, following a comprehensive multidimensional evaluation of sealing configurations, the ceramic knife-edge compression non-metallic sealing ring solution was determined to be optimal. This approach involves positioning the sealing ring within a grooved cylindrical heating furnace body, where radial compression is achieved through an annular ceramic knife-edge interface, thereby ensuring hermetic integrity. Subsequently, a sealing leakage model grounded in Roth theory was developed to elucidate micro-leakage mechanisms. ANSYS simulation software was utilised to investigate the influence of blade tip radius and temperature, revealing correlations with average stress and contact width, as well as the impact of temperature extremes on sealing efficacy. These findings provided the theoretical underpinning for subsequent ground tests. A dedicated test platform was established, adhering to the industry standard QJ3089A-2018, to evaluate the sealing performance of various seal and blade tip radius combinations under diverse conditions. Results indicated that, under a force of 500N, PTFE seals compressed by an R0.5mm blade and PVMQ seals compressed by an R0.6mm blade achieved leakage rates on the order of 10 -8 Pa·m 3 ·s -1 , aligning with theoretical predictions and demonstrating repeatable sealing capability. This study presents a novel and reliable sealing solution for the precise exploration of lunar soil volatiles, offering a technical breakthrough and robust sealing strategy for future deep space missions.

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An Improved UAV Path Optimization Algorithm for Target Accurately and Quickly Localization

An Improved UAV Path Optimization Algorithm for Target Accur...

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International Conference on Informative and Cybernetics for Computational Social systems (ICCSS)

作者： Rui Liang Kai Wu Sheng Xu Tiantian Xu Xiaoyi Ma Lianyu Fu City West Power Supply Branch State Grid Tianjin Electric Power Company Tianjin China Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institute of Advanced Technology Shenzhen China Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institute of Advanced Technology Shenzhen China State Grid Tianjin Information & Telecommunication Company Tianjin China

ISBN: (纸本)9781665402460

Angle-of-arrival (AOA) target localization using the unmanned aerial vehicle (UAV) has been widely applied in many practical applications. To localize an invasive target quickly and accurately, both the estimation and UAV path optimization algorithms are required. This paper focuses on developing a path optimization method to improve the target estimation performance. Firstly, the problem formulation of AOA target localization is introduced. Secondly, the classical pseudolinear Kalman filter (PLKF) and the gradient-based path optimization are presented. Thirdly, we analyze the problems that existed in the previous methods and propose an improved gradient-descent path optimization algorithm combined with a simple grid search method. Finally, the simulation examples verify the effectiveness of the proposed methods.

关键词： Location awareness Adaptation models Three-dimensional displays Target tracking Search methods Estimation Optimization methods

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N-Docker: A NVM-HDD Hybrid Docker Storage Framework to Improve Docker Performance 16th

N-Docker: A NVM-HDD Hybrid Docker Storage Framework to Impro...

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16th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2019

作者： Gu, Lin Tang, Qizhi Wu, Song Jin, Hai Zhang, Yingxi Shi, Guoqiang Lin, Tingyu Rao, Jia National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China State Key Laboratory of Intelligent Manufacturing System Technology Beijing100854 China The University of Texas at Arlington ArlingtonTX76019 United States

ISBN: (纸本)9783030307080

Docker has been widely adopted in production environment, but unfortunately deployment and cold-start of container are limited by the low speed of disk. The emerging non-volatile memory (NVM) technology, which has high speed and can store data permanently, brings a new chance to accelerate the deployment and cold-start of container. However, it is expensive to replace the whole hard disk driver (HDD) with NVM. To achieve the fastest deployment and cold-start with lowest cost, we conduct in-depth analysis on the Top-134 images in Docker Hub and obtain two main insights as: (1) the storing latency of layered image has become the bottleneck of container deployment;(2) only a few image layers are required for container cold-start. Based on these two findings, we propose a NVM-HDD hybrid docker storage framework as N-Docker. It can effectively accelerate container cold-start by detecting the bottleneck layers as well as cold-start required layers and storing them into NVM for faster container startup with limited NVM capacity. Experimental results show that N-Docker can accelerate the container deployment by 1.21X and cold-start by 2.96X. Compared to NVM-Docker, which stores all images into NVM, N-Docker achieves the same performance improvements while reducing the usage of NVM by 88.22%. © 2019, IFIP International Federation for Information Processing.

关键词： Containers

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Diffusive nonreciprocity and thermal diode

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Physical Review B 2021年第1期103卷 014307-014307页

作者： Ying Li Jiaxin Li Minghong Qi Cheng-Wei Qiu Hongsheng Chen Interdisciplinary Center for Quantum Information State Key Laboratory of Modern Optical Instrumentation College of Information Science and Electronic Engineering Zhejiang University Hangzhou 310027 China ZJU-Hangzhou Global Science and Technology Innovation Center Key Lab. of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang Zhejiang University Hangzhou 310027 China International Joint Innovation Center ZJU-UIUC Institute The Electromagnetics Academy at Zhejiang University Zhejiang University Haining 314400 China Department of Electrical and Computer Engineering National University of Singapore Singapore 117583 Singapore State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin 150001 China

Wave propagation and diffusion in linear materials preserve local reciprocity in terms of a symmetric Green's function. For wave propagations, the relation between the fields entering and leaving a system is more relevant than the detailed information about the fields inside it. In such cases, the global reciprocity of the scattering off a system through several ports is more important, which is defined as the symmetric transmission between the scattering channels. When a two-port system supports nonreciprocal (electromagnetic, acoustic) wave propagation, it is a (optical, phonon) diode directly following the definition. However, to date no concrete definition or discussion has been made on the global reciprocity of diffusive processes through a multiple-port system. It thus remains unclear what are the differences and relations between the three concepts, namely, local nonreciprocity, global nonreciprocity, and diode effect in diffusion. Here, we provide theoretical analysis on the frequency-domain Green's function and define the global reciprocity of heat diffusion through a two-port system, which has a different setup from that of a thermal diode. We further prove the equivalence between a heat transfer system with broken steady-state global reciprocity and a thermal diode, assuming no temperature-dependent heat generation. The validities of some typical mechanisms in breaking the diffusive reciprocity and making a thermal diode have been discussed. Our results set a general background for future studies on symmetric and asymmetric diffusive processes.

关键词： Diffusion Heat transfer Metamaterials Diodes Green's function methods

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