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International Winter Workshop on Brain-Computer Interface (BCI)

作者： Junkongshuai Wang Wei Mu Aiping Wang Lu Wang Jiaguan Han Pengchao Wang Lan Niu Jianxiong Bin Lihua Zhang Xiaoyang Kang Shanghai Engineering Research Center of AI & Robotics MOE Frontiers Center for Brain Science State Key Laboratory of Medical Neurobiology Laboratory for Neural Interface and Brain Computer Interface Engineering Research Center of AI & Robotics Ministry of Education Institute of AI & Robotics Institute of Meta-Medical Academy for Engineering & Technology Fudan University Shanghai China Ji Hua Laboratory Foshan Guangdong Province China Yiwu Research Institute of Fudan University Chengbei Road Yiwu City Zhejiang China Research Center for Intelligent Sensing Zhejiang Lab Hangzhou China

Brain-computer interface (BCI) technology based on electroencephalography (EEG) signals is growing rapidly and attracting widespread attention. However, due to the EEG acquisition methods, the quality and quantity of EEG signals are not able to be guaranteed. To alleviate the problems caused by the lack of data, in this paper, we introduce the applications of EEG signals using generative adversarial networks (GANs) which have shown great performance in image data augmentation and other time series data and then discuss their performance.

关键词： Time series analysis Generative adversarial networks Electroencephalography Brain-computer interfaces Signal analysis

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Contrasting lake changes in Tibet revealed by recent multi-modal satellite observations

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Science of the Total Environment 2024年 908卷 168342页

作者： Ran, Jiangjun Liu, Lin Zhang, Guoqing Shum, C.K. Qiu, Jiahui Hu, Ruigang Li, Jianping Peng, Junhuan Hwang, Cheinway Luan, Yi Sun, Yue Xu, Min Chen, Dingmei Ding, Jun Zhong, Yulong Department of Earth and Space Sciences Southern University of Science and Technology Shenzhen China Earth System Science Programme Faculty of Science The Chinese University of Hong Kong Hong Kong Institute of Tibetan Plateau Research Chinese Academy of Sciences Beijing China Division of Geodetic Science School of Earth Sciences Ohio State University ColumbusOH United States State Key Laboratory of Geodesy and Earth's Dynamics Innovation Academy for Precision Measurement Science and Technology Chinese Academy of Sciences Wuhan China Key Laboratory of Physical Oceanography Academy of the Future Ocean College of Oceanic and Atmospheric Science Ocean University of China Qingdao China Laboratory for Ocean Dynamics and Climate Pilot Qingdao National Laboratory for Marine Science and Technology Qingdao China School of Land Science and Technology China University of Geosciences Beijing China Department of Civil Engineering National Yang Ming Chiao Tung University Hsinchu Taiwan State Key Laboratory of Cryospheric Science Northwest Institute of Eco-Environment and Resources Chinese Academy of Sciences Lanzhou China Shannan Meteorological Service of Tibet Shannan China Wuhan China

The limited anthropogenic activities on the Tibetan Plateau make this an ideal natural laboratory to elucidate how climate change impacts lake changes. Previous studies have mainly focused on decadal lake changes, yet their rapid evolutions at short temporal intervals and the associated atmospheric origins remain elusive. Here, we produce a new lake area change dataset at monthly sampling over 2015–2020 from 16,801 satellite images. Our estimates achieve an accuracy of © 2023

关键词： Lakes

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Research on Change Path Optimization for Complex Mechanical Products Considering upgrade Risk

Research on Change Path Optimization for Complex Mechanical ...

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2021 International Conference on Digital Society and Intelligent systems, DSInS 2021

作者： Zhang, Qin Pan, Jinlong Chen, Hu Feng, Yixiong Hong, Zhaoxi Huzhou Vocatinal Technical College Key Laboratory of Robot System Integration and Intelligent Equipment of Huzhou Huzhou313000 China Shanghai Space Propulsion Technology Research Institute Shanghai201109 China Shanghai Institute of Special Equipment Inspection and Technical Research Shanghai200062 China Zhejiang University State Key Laboratory of Fluid Power and Mechatronic Systems Hangzhou310027 China Zhejiang University Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province Hangzhou310027 China

ISBN: (纸本)9781665406307

Affected by uncertain factors such as customer demand, product design process will face with varying degrees of upgrade risk. In order to response to change requirements and reduce the impact of component changes, change path optimization for complex products considering upgrade risk is proposed. The goal of this work is to optimize change paths with multi-objective programming. The optimization model is constructed with the goal of minimizing the change complexity, the minimizing change propagation intensity and minimizing the change time. The improved whale algorithm is proposed to solve the model. A set of non-dominated solutions is obtained which can guide decision makers to choose the appropriate scheme. Finally, a product change path optimization for an elevator is given to verify the effectiveness of the proposed method. © 2021 IEEE.

关键词： Multiobjective optimization

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MARS: Multi-Agent Deep Reinforcement Learning for Real-Time Workflow Scheduling in Hybrid Clouds with Privacy Protection

MARS: Multi-Agent Deep Reinforcement Learning for Real-Time ...

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International Conference on Parallel and Distributed systems (ICPADS)

作者： Long Cheng Haoyang He Yan Gu Qingzhi Liu Zhiming Zhao Fang Fang State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control and Computer Engineering North China Electric Power University Beijing China Information Technology Group Wageningen University and Research Netherlands Research Group of Multi-Scale Networked Systems University of Amsterdam Netherlands

ISBN: (数字)9798331515966

ISBN: (纸本)9798331515973

Scheduling workflows in hybrid cloud environments presents significant challenges due to the inherent complexity of workflows and the dynamic nature of cloud resources. This complexity is further increased when attempting to balance workflow performance with privacy protection. Recent efforts have leveraged deep reinforcement learning (DRL) to address these challenges. However, most of these approaches rely on single-agent models, which can lead to security issues and scalability problems due to their centralized processing. Specifically, the properties of workflows are transferred to the single agent, which risks leaking privacy information. Our paper addresses these issues by introducing MARS, a real-time workflow scheduling method that prioritizes privacy protection in hybrid clouds. MARS leverages multi-agent deep reinforcement learning (MADRL) to optimize the workflow scheduling of cloud virtual machines (VMs). The benefit of our solution is that it relies on the collaborative learning of multi-agents on multiple VMs, which could assign user data to specific cloud servers for privacy protection while sharing training experiences between agents. In our implementation, MARS aims to reduce workflow completion time and operational costs while complying with strict privacy protection guidelines. The experimental results demonstrate that MARS can significantly surpass existing methods, reducing makespan by an average of $53.18 \%$ and costs by $61.98 \%$ compared to basic techniques, and achieving $20.26 \%$ and $25.71 \%$ improvements over the latest advanced methods, respectively.

关键词： Training Cloud computing Privacy Costs Scalability Deep reinforcement learning Dynamic scheduling Real-time systems Complexity theory Protection

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Hierarchical Micro/Nano Structures with Anti-Reflection and Superhydrophobicity on the Silicon Surface Fabricated by Femtosecond Laser

SSRN

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SSRN 2024年

作者： Duan, Junyu Long, Gui Xu, Xu Liu, Weiming Li, Chuankun Zhang, Jianguo Xu, Jianfeng Xiao, Junfeng State Key Laboratory of Intelligent Manufacturing Equipment and Technology School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan430074 China Hubei Jiuzhiyang Infrared System Co. Ltd. Wuhan430223 China Huazhong Institute of Electro-Optics Wuhan National Laboratory for Optoelectronics Wuhan430223 China China Ship Development and Design Center Wuhan43006 China Hunan University China

In this paper, hierarchical micro/nano structures composed of periodic microstructures, LIPSS, and nanoparticles were fabricated by femtosecond laser processing. A layer of hydrophobic species was formed on the micro/nano structures through perfluorosilane modification. The reflectivity and hydrophobicity’s influence mechanisms of structural height, duty cycle, and size are experimentally elucidated. The average reflectivity of the silicon surface in the visible light band is reduced to 3.0% under the optimal parameters, and the surface exhibits a large contact angle of 172.3 ± 0.8 ° and a low sliding angle of 4.2 ± 1.4 °. Finally, the durability of anti-reflection and superhydrophobicity is also confirmed. This study deepens the understanding of the principles of anti-reflection and superhydrophobicity and expands the design and preparation methods for self-cleaning and anti-reflective surfaces. © 2024, The Authors. All rights reserved.

关键词： Femtosecond lasers

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Research on the Calibration Method of Space Humanoid Manipulator Based on Configuration Perturbation

Research on the Calibration Method of Space Humanoid Manipul...

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IEEE International Conference on Real-time Computing and robotics (RCAR)

作者： Chunguang Fan Zongwu Xie Chongyang Li Yiwei Liu State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin Heilong Jiang China

ISBN: (数字)9781728172934

ISBN: (纸本)9781728172941

In order to realize the fast and accurate kinematic calibration of the space humanoid manipulator, this paper applies the theory of matrix perturbation to the robot kinematics. First of all, the model has been built in accordance with the dynamic error. According to the matrix perturbation theory, the recognizable Jacobian matrix between the measurement error and the calibration error is extended to the perturbation recognizable Jacobian matrix with perturbation expression. The recognizable of the configuration perturbation is analyzed based on the influence of Jacobian matrix and observability index, and the relationship between Jacobian and observability index of perturbation recognizable is derived. On this basis, the closed mapping from configuration perturbation to singular value change is established by combining detmax algorithm. Based on this mapping, an effective configuration searching method is proposed. Experiments are carried out on the Tiangong-2 humanoid manipulator, and the results are compared with other three common search algorithms, which prove the effectiveness of the method.

关键词： Perturbation methods Jacobian matrices Observability Calibration Indexes Kinematics Robots

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Prediction about residual stress and microhardness of material subjected to multiple overlap laser shock processing using artificial neural network

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Journal of Central South University 2022年第10期29卷 3346-3360页

作者： WU Jia-jun HUANG Zheng QIAO Hong-chao WEI Bo-xin ZHAO Yong-jie LI Jing-feng ZHAO Ji-bin State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of SciencesShenyang 110016China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of SciencesShenyang 110169China Institute of Metal Research Chinese Academy of SciencesShenyang 110016China School of Materials Science and Engineering University of Science and Technology of ChinaShenyang 110016China Faculty of Science and Engineering University of HullHull HU67RXUnited Kingdom Department of Chemistry Tsinghua UniversityBeijing 100084China

In this work,the nickel-based powder metallurgy superalloy FGH95 was selected as experimental material,and the experimental parameters in multiple overlap laser shock processing(LSP)treatment were selected based on orthogonal experimental *** experimental data of residual stress and microhardness were measured in the same *** residual stress and microhardness laws were investigated and *** neural network(ANN)with four layers(4-N-(N-1)-2)was applied to predict the residual stress and microhardness of FGH95 subjected to multiple overlap *** experimental data were divided as training-testing sets in *** energy,overlap rate,shocked times and depth were set as inputs,while residual stress and microhardness were set as *** prediction performances with different network configuration of developed ANN models were compared and *** developed ANN model with network configuration of 4-7-6-2 showed the best predict *** predicted values showed a good agreement with the experimental *** addition,the correlation coefficients among all the parameters and the effect of LSP parameters on materials response were *** can be concluded that ANN is a useful method to predict residual stress and microhardness of material subjected to LSP when with limited experimental data.

关键词： laser shock processing residual stress microhardness artificial neural network

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Mechanics of soft-body rolling motion without external torque

arXiv

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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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A compact control system and a myoelectric control method for multi-DOFs prosthetic hand

A compact control system and a myoelectric control method fo...

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2019 IEEE International Conference on Real-Time Computing and robotics, RCAR 2019

作者： Yang, Bin Jiang, Li Hu, Jianhao Li, Chongyang Liu, Hong State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin Heilong Jiang China

ISBN: (纸本)9781728137261

This paper introduces a compact control system for multi-DOFs prosthetic hand. Based on the optimization of sensors configuration and hardware structure of the control system, the power consumption and volume can meet the needs of the actual using. In addition, a myoelectric control method based on the principle of finite state machine (FSM) is integrated in the control system. The proposed method enables amputees to select one of the given gestures directly, and grasp objects. As the control method requires less electromyography electrodes comparing to the traditional myoelectric control method based on EMG pattern recognition, it's available for a wider range of amputees with less active muscles. To assess the performance of the proposed method, the experiments of grasping random objects by non-amputee subjects has been conducted with the 6-DOFs HIT-V prosthetic hand, and an amputee volunteer used this prosthetic hand for one day to demonstrate viability. The non-amputee experimental results indicate that subjects can select gesture correctly among seven gestures and accomplish the designed grasping tasks with a success rate up to 96.67% within a shorter time just using two electrodes, and amputee proved viability of proposed method in daily life. © 2019 IEEE.

关键词： Electrodes

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Distribution of Electrical Stimulation Current of a Minimally Invasive Endovascular Stent-Electrode

Distribution of Electrical Stimulation Current of a Minimall...

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International Winter Workshop on Brain-Computer Interface (BCI)

作者： Bo Wen Jing Zhang Minjie Wang Lusheng Liu Yuan Zhang Aiping Wang Lu Wang Lihua Zhang Xiaoyang Kang Shanghai Engineering Research Center of AI & Robotics MOE Frontiers Center for Brain Science State Key Laboratory of Medical Neurobiology Institute of AI & Robotics Laboratory for Neural Interface and Brain Computer Interface Engineering Research Center of AI & Robotics Ministry of Education Institute of Meta-Medical Academy for Engineering &Technology Fudan University Shanghai China Ji Hua Laboratory Foshan Guangdong Province China Yiwu Research Institute of Fudan University Chengbei Road Yiwu City Zhejiang China Research Center for Intelligent Sensing Zhejiang Lab Hangzhou China

The implantable brain-computer interface is a kind of brain-computer interaction device. The electrode array implanted in the deep surface of the brain is used to study neural function and medical rehabilitation. Nowadays, the implanted type usually has different degrees of damage to the brain, and the intravascular electrode, as the best technology, has the advantage of no need to drill holes in the brain, and the EEG signal collected is also strong, so it has become a very promising direction. This paper mainly discusses the intravascular use of vascular stent as a carrier, the attachment of the electrode array to the vascular stent, and the multi-physical field simulation of the array in the superior sagittal sinus. By discussing the layout of different electrode arrays and the discussion of grounding electrodes, this paper summarizes a relatively reasonable electrode array layout and a relatively reasonable selection of grounding electrodes.

关键词： Electrodes Electric potential Minimally invasive surgery Grounding Layout Interference Electrical stimulation

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