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arXiv 2024年

作者： Ma, Jun Li, Feifei Kim, Sumin Asakereh, Reza Le, Bao-Hiep Nguyen-Vu, Dang-Khoa Pfefferle, Alexander Wei, Muxin Gao, Ruochen Lyu, Donghang Yang, Songxiao Purucker, Lennart Marinov, Zdravko Staring, Marius Lu, Haisheng Dao, Thuy Thanh Ye, Xincheng Li, Zhi Brugnara, Gianluca Vollmuth, Philipp Foltyn-Dumitru, Martha Cho, Jaeyoung Mahmutoglu, Mustafa Ahmed Bendszus, Martin Pflüger, Irada Rastogi, Aditya Ni, Dong Yang, Xin Zhou, Guang-Quan Wang, Kaini Heller, Nicholas Papanikolopoulos, Nikolaos Weight, Christopher Tong, Yubing Udupa, Jayaram K. Patrick, Cahill J. Wang, Yaqi Zhang, Yifan Contijoch, Francisco McVeigh, Elliot Ye, Xin He, Shucheng Haase, Robert Pinetz, Thomas Radbruch, Alexander Krause, Inga Kobler, Erich He, Jian Tang, Yucheng Yang, Haichun Huo, Yuankai Luo, Gongning Kushibar, Kaisar Amankulov, Jandos Toleshbayev, Dias Mukhamejan, Amangeldi Egger, Jan Pepe, Antonio Gsaxner, Christina Luijten, Gijs Fujita, Shohei Kikuchi, Tomohiro Wiestler, Benedikt Kirschke, Jan S. de la Rosa, Ezequiel Bolelli, Federico Lumetti, Luca Grana, Costantino Xie, Kunpeng Wu, Guomin Puladi, Behrus Martín-Isla, Carlos Lekadir, Karim Campello, Victor M. Shao, Wei Brisbane, Wayne Jiang, Hongxu Wei, Hao Yuan, Wu Li, Shuangle Zhou, Yuyin Wang, Bo AI Collaborative Centre University Health Network Department of Laboratory Medicine and Pathobiology University of Toronto Vector Institute Toronto Canada Peter Munk Cardiac Centre University Health Network Toronto Canada Toronto General Hospital Research Institute University Health Network Department of Computer Science University of Toronto University Health Network Vector Institute Toronto Canada University of Science Vietnam National University Ho Chi Minh City Viet Nam Institute of Computer Science University of Freiburg Freiburg Germany School of Medicine and Health Harbin Institute of Technology Harbin China Division of Image Processing Department of Radiology Leiden University Medical Center Leiden Netherlands Department of System and Control Engineering School of Engineering Institute of Science Tokyo Formerly Tokyo Institute of Technology Tokyo Japan Institute for Anthropomatics and Robotics Karlsruhe Institute of Technology Karlsruhe Germany School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China School of Electrical Engineering and Computer Science University of Queensland Brisbane Australia School of Cyberspace Hangzhou Dianzi University Hangzhou China Division for Computational Radiology and Clinical AI The Department of Neuroradiology University Hospital Bonn Germany Division for Computational Radiology and Clinical AI The Department of Neuroradiology University Hospital Bonn Germany Department of Neuroradiology Heidelberg University Hospital Heidelberg Germany Division for Computational Radiology and Clinical AI Department of Neuroradiology University Hospital Bonn Germany School of Biomedical Engineering Shenzhen University Shenzhen China School of Biological Science and Medical Engineering Southeast University Nanjing China Department of Urology Cleveland Clinic Cleveland United States Department of Computer Science University of Minnesota Minneapolis United St

Promptable segmentation foundation models have emerged as a transformative approach to addressing the diverse needs in medical images, but most existing models require expensive computing, posing a big barrier to their adoption in clinical practice. In this work, we organized the first international competition dedicated to promptable medical image segmentation, featuring a large-scale dataset spanning nine common imaging modalities from over 20 different institutions. The top teams developed lightweight segmentation foundation models and implemented an efficient inference pipeline that substantially reduced computational requirements while maintaining state-of-the-art segmentation accuracy. Moreover, the post-challenge phase advanced the algorithms through the design of performance booster and reproducibility tasks, resulting in improved algorithms and validated reproducibility of the winning solution. Furthermore, the best-performing algorithms have been incorporated into the open-source software with a user-friendly interface to facilitate clinical adoption. The data and code are publicly available to foster the further development of medical image segmentation foundation models and pave the way for impactful real-world applications. © 2024, CC BY-NC-SA.

关键词： Open source software

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Wavelength switchable bidirectional Q-switched fiber laser based on 45° tilted fiber grating and carbon nanotube

Wavelength switchable bidirectional Q-switched fiber laser b...

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Bragg Gratings, Photosensitivity and Poling in Glass Waveguides and Materials, BGPPM 2018

作者： Zou, Chuanhang Yan, Zhijun Huang, Qianqian Wang, Tianxing Mou, Chengbo AlAraimi, Mohammed Rozhin, Aleksey Key Laboratory of Specialty Fiber Optics and Optical Access Networks Shanghai Institute for Advanced Communication and Data Science Shanghai University Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication Shanghai200444 China School of Optical and Electronic Information National Engineering Laboratory for Next Generation Internet Access System Huazhong University of Science and Technology Wuhan430074 China Aston University BirminghamB4 7ET United Kingdom Nanoscience Research Group Aston University BirminghamB4 7ET United Kingdom Al Musanna College of Technology Muladdah Al Musanna P.O.Box 191 P.C.314 Oman

A wavelength switchable bidirectional Q-switched fiber laser based on carbon nanotube saturable absorber and 45° tilted fiber grating induced nonlinear polarization rotating filtering effect is demonstrated for t... 详细信息

ISBN: (纸本)9781943580439

关键词： Carbon nanotubes

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Fast signal recovery from saturated measurements by linear loss and nonconvex penalties

arXiv

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arXiv 2018年

作者： He, Fan Huang, Xiaolin Liu, Yipeng Yan, Ming Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University The MOE Key Laboratory of System Control and Information Processing Shanghai200240 China School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu611731 China The Department of Computational Mathematics Science and Engineering Michigan State University MI United States

Sign information is the key to overcoming the inevitable saturation error in compressive sensing systems, which causes information loss and results in bias. For sparse signal recovery from saturation, we propose to use a linear loss to improve the effectiveness from existing methods that utilize hard constraints/hinge loss for sign consistency. Due to the use of linear loss, an analytical solution in the update progress is obtained, and some nonconvex penalties are applicable, e.g., the minimax concave penalty, the 0 norm, and the sorted 1 norm. Theoretical analysis reveals that the estimation error can still be bounded. Generally, with linear loss and nonconvex penalties, the recovery performance is significantly improved, and the computational time is largely saved, which is verified by the numerical experiments. Copyright © 2018, The Authors. All rights reserved.

关键词： Compressed sensing

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Wavelength tunable carbon nanotube mode-locked fiber laser based on artificial all-fiber birefringent filter

Wavelength tunable carbon nanotube mode-locked fiber laser b...

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Conference on Lasers and Electro-Optics/Pacific Rim, CLEOPR 2018

作者： Lu, Bingbing Zou, Chuanhang Huang, Qianqian Yan, Zhijun AlAraimi, Mohammed Rozhin, Aleksey Mou, Chengbo Key Laboratory of Specialty Fiber Optics and Optical Access Networks Shanghai Institute for Advanced Communication and Data Science Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication Shanghai University Shanghai200444 China School of Optical and Electronic Information National Engineering Laboratory for Next Generation Internet Access System Huazhong University of Science and Technologies Wuhan430074 China Aston University BirminghamB4 7ET United Kingdom Nanoscience Research Group Aston University BirminghamB4 7ET United Kingdom Al Musanna College of Technology P.O.Box 191 Muladdah Al MusannaP.C.314 Oman

A carbon nanotube mode-locked fiber laser based on an all-fiber birefringent filter consisting of 45°tilted fiber grating and polarization maintaining fiber is demonstrated with a 30 nm tuning range. © OSA 2018

ISBN: (纸本)9781943580453

关键词： Mode-locked fiber lasers

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Exploiting Minipage-Level Mapping to Improve Write Efficiency of NAND Flash

Exploiting Minipage-Level Mapping to Improve Write Efficienc...

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International Conference on Networking, Architecture, and Storage (NAS)

作者： Hao Lv You Zhou Fei Wu Weijun Xiao Xubin He Zhonghai Lu Changsheng Xie Shenzhen research institute of Huazhong University of Science and Technology Shenzhen China Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Wuhan China Ministry of Education Key Laboratory of Data Storage System Wuhan China Department of Electrical and Computer Engineering Virginia Commonwealth University Richmond USA College of Science and Technology Temple University Philadelphia USA School of Information and Communication Technology KTH Royal Institute of Technology Stockholm Sweden

ISBN: (纸本)9781538683682

Pushing NAND flash memory to higher density, manufacturers are aggressively enlarging the flash page size. However, the sizes of I/O requests in a wide range of scenarios do not grow accordingly. Since a page is the unit of flash read/write operations, traditional flash translation layers (FTLs) maintain the page mapping regularity. Hence, small random write requests become common, leading to extensive partial logical page writes. This write inefficiency significantly degrades the performance and increases the write amplification of flash storage. In this paper, we first propose a configurable mapping layer, called minipage, whose size is set to match I/O request sizes. The minipage-level mapping provides better flexibility in handling small writes at the cost of sequential read performance degradation and a larger mapping table. Then, we propose a new FTL, called PM-FTL, that exploits the minipage-level mapping to improve write efficiency and utilizes the page-level mapping to reduce the costs caused by the minipage-level mapping. Finally, trace-driven simulation results show that compared to traditional FTLs, PM-FTL reduces the write amplification and flash storage response time by an average of 33.4% and 19.1%, up to 57.7% and 34%, respectively, under 16KB flash pages and 4KB minipages.

关键词： Flash memories Random access memory Metadata Electronic mail Time factors Memory management Market research

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Task-space cooperative tracking control of multi-robot systems with unknown parameters and time delays

Task-space cooperative tracking control of multi-robot syste...

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IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： Xinwu Liang Hesheng Wang Yun-Hui Liu Weidong Chen Le Xie The School of Aeronautics and Astronautics Shanghai Jiao Tong University Shanghai China Department of Automation Key Laboratory of System Control and Information Processing Shanghai China Department of Mechanical and Automation Engineering The Chinese University of Hong Kong Hong Kong China National Digital Manufacturing Technology Center Shanghai Jiao Tong University Shanghai China

In this paper, the task-space cooperative tracking control problem of multi-robot systems on strongly connected digraphs is studied. To solve such synchronization problem, a novel adaptive control approach is proposed by introducing task-space synchronization errors between neighboring robotic systems into the task-space reference velocity/acceleration. To cope with unknown kinematic and dynamic parameters, adaptive laws are developed without explicitly incorporating synchronization terms. Lyapunov stability theory is used to rigorously prove asymptotical convergence of the task-space synchronization and tracking errors by fully considering the time delays. Finally, simulation results are given to illustrate the performance of the proposed task-space cooperative tracking control approach.

关键词： Task analysis Robot kinematics Kinematics Multi-robot systems Synchronization Aerospace electronics

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Color-Guided Depth Recovery Based on ZED

Color-Guided Depth Recovery Based on ZED

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International Conference on Computer technology, Electronics and communication (ICCTEC)

作者： Hui Ren Nan Gao Zhibin Su School of Information Engineering Communication University of China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture Beijing Key Laboratory of Modern Entertainment Technology Beijing China

ISBN: (纸本)9781538657850

Depth maps obtained by RGB-D cameras such as ZED are noisy, and there are invalid areas where depth values absent in the maps, which will affect the subsequent improved processing. This paper investigates the restoration and optimization of degraded depth image method based on RGBD data captured by ZED by means of selective filtering and conditional auto-regressive model with edge constraints. Firstly, we divide invalid areas into two categories, including the internal invalid areas caused by reflection and invalid edge caused by occlusion. Then, we use corresponding median filter and mean filter in the different selective areas to obtain the initial restored depth map with no empty area. The edges of objects contain massive information, therefore, an adaptive auto-regressive (AR) model is used to further optimize the depth of the edge area. Additionally, we add the edge information to the sampled image to maintain local detail. Experiments show that with the proposed method we can recover the depth data with high accuracy and effectiveness.

关键词： Image edge detection Cameras information filters Microsoft Windows Maintenance engineering

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Effect of phase shifter quantization error on the performance of millimeterwave beam steering

Effect of phase shifter quantization error on the performanc...

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作者： Tang, Junlin Xu, Kaida Zeng, Yuan Yue, Guangrong Li, Shaoqian National Key Laboratory of Science and Technology on Communications University of Electronic Science and Technology of China 611731 China 54-Th Research Institute of China Electronics Technology Group Corporation Science and Technology on Information Transmission and Dissemination in Communication Networks Laboratory 050081 China Department of Electronic Science Xiamen University Xiamen361005 China Shanghai Institute of Aerospace System Engineering Shanghai201108 China

Beamforming technology is an effective method to build a robust link. The commonly used digital beamforming is an expensive and power consuming approach to realizing millimeter-wave transmission. This makes radio frequency(RF) beamforming, which has low cost and low power consumption due to its use of phase shifters the more feasible approach to creating stable links in the millimeter-wave band. Unfortunately, the performance of RF processing is degraded by the limited precision of digital phase shifters. In this paper, we analyze the gain loss caused by the limited precision of phase shifter in millimeter wave single stream beam steering. We deduce a theoretical relationship between the array gain loss and variance of phase error. The theoretical results are validated by the Monte Carlo simulations, which indicate that gain loss could be reduced by the increased precision of phase shifter. In practical applications, 4-bit phase shifters provide sufficient accuracy for single stream beam steering. © 2017 The Institute of Electronics, information and communication Engineers.

关键词： Beamforming

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A novel broadcasting MAC algorithm for ad hoc networks

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Procedia Computer Science 2017年 111卷 268-276页

作者： Chen Liang Yu Zhang Jian Song Tsinghua National Laboratory for Information Science and Technology (TNList) Tsinghua University Department of Electronics Engineering Tsinghua University Beijing 100084 China Science and Technology on Information Transmission and Dissemination in Communication Networks Laboratory Shenzhen City Key Laboratory of Digital TV System Shenzhen 518057 China

Wireless ad hoc networks with broadcasting are widely applied in IoT and emergency situations as the network can be set up without traditional infrastructures. In this paper, we propose a TDMA-based MAC algorithm which supports data transmission by broadcasting. The algorithm is similar with the mechanism in NbIA algorithm 1,2 in neighbour discovery, but differs a lot in collision detection and slot allocation. Our algorithm can dynamically allocate slots according to the demand of nodes and ensures every node get at least one slot a cycle. Based on spatial reuse, idle slots might be found and be used as extra slots of nodes which can promote throughput of our algorithm. After the network converges, only a few nodes need to adjust their slots to adapt to topology changes, while most of the nodes maintain their slots to transmit data. The performance of our algorithm and NbIA algorithm are compared with OPNET simulation. The results show that our algorithm outperforms NbIA especially in convergence time and average throughput of nodes.

关键词： Ad hoc network MAC algorithm Broadcast Slot assignment

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HRPGAN: A GAN-based Model to Generate High-resolution Remote Sensing Images

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IOP Conference Series: Earth and Environmental Science 2020年第1期428卷

作者： Hai Sun Ping Wang Yifan Chang Li Qi Hailei Wang Dan Xiao Cheng Zhong Xuelian Wu Wenbo Li Bingyu Sun China Telecom Shanghai Ideal Information Industry (Group) Co. Ltd Shanghai China Department of Airborne Remote Sensing National Disaster Reduction Center of China Beijing China Institute of Technology Innovation Hefei Institute of Physical Science Chinese Academy of Sciences Hefei China The Third Research Institute of the Ministry of Public Security Shanghai China Guizhou Key Laboratory of Economics System Simulation Guizhou University of Finance and Economics Guiyang China Beijing Aerospace Flight Control Center Beijing China Institute of Intelligent Machines Chinese Academy of Sciences Hefei China

Generative adversarial networks (GAN) has been mainly used in the generation of natural images such as MNIST, CIFAR10 as well as Imagenet datasets and achieves satisfying generation results. However, GAN always fails in generating high quality high-resolution remote sensing images because remote sensing images are large in size and have various ground objects. To address this issue, a novel framework called High-Resolution PatchGAN (HRPGAN) is introduced in this paper. The structure of HRPGAN follows PatchGAN, but the batch normalization layers are removed and the ReLU activation is replaced by the SELU activation. In addition, a new loss function consisting of the adversarial loss, perceptual reconstruction loss and regularization loss is used in HRPGAN. Experiment results show that the proposed HRPGAN model generates the more diverse and lifelike images in HR remote sensing generation than Bicubic method and TGAN model.

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