检索结果-内蒙古大学图书馆

Annual Conference of Industrial Electronics Society

作者： Yihang Wu Ziyao Qu Xiaocong Chang Zhijian Hu Rongni Yang Renjie Ma State Key Laboratory of Robotics and Systems Harbin Institute of Technology Harbin China School of Electrical and Electronic Engineering Nanyang Technological University Singapore School of Control Science and Engineering Shandong University Jinan China

Microrobots can work in small, enclosed spaces and complete complex tasks. It has potential applications in the field of biomedical and life sciences. This paper focuses on investigating robust dynamic tracking for electromagnetic-actuated microrobot via sliding mode control. First, we generalize the planar motion to the case of spatial trajectory tracking and then establish the three-dimensional tracking error model of microrobot. Then, we deploy a novel sliding control strategy and ensure the stability of sliding mode dynamics, once the robotic state reaches the sliding surface and sustains there in the sequel. Finally, the numerical simulation is conducted, compared to the traditional proportion-integration-differentiation control strategy, to verify the effectiveness and advantages of our proposed control scheme.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Multi-Band Compatible Camouflage Enabled by Phase Transition Modulation of Flexible Gst Films

SSRN

引用

SSRN 2024年

作者： Wang, Jian Wu, Zuoxu Sun, Xiaoyu Tang, Zunqian Wang, Chong Yu, Fangyuan Zhao, Zirui Mao, Jun Zhang, Qian Cao, Feng School of Science Ministry of Industry and Information Technology Key Lab of Micro-Nano Optoelectronic Information System Harbin Institute of Technology Shenzhen518055 China School of Materials Science and Engineering Institute of Materials Genome & Big Data Harbin Institute of Technology Shenzhen518055 China State Key Laboratory of Advanced Welding and Joining China Fuzhou University China

With the rapid development of detection technology, there is an urgent need for multi-band compatible camouflage technology, particularly in the visible-infrared band. However, the conflicting requirements between camouflage across different bands and surface thermal management pose significant challenges in achieving synchronized control for multiple bands in diverse application environments and targets. Herein, we propose a spectrally selective emitter leveraging phase-change modulation of Ge2Sb2Te5, capable of achieving effective camouflage in both the visible band and two atmospheric windows over a wide temperature range. The designed emitters exhibit colorful appearances, compatible with various background environments, thereby ensuring the visible camouflage. Meanwhile, the emitters demonstrate low emissivity values of 0.1 in the MWIR band and 0.08 in the LWIR band, effectively reducing the infrared emission through atmospheric *** radiative temperatures of the optimized emitters in the MWIR and LWIR bands are reduced by 105 °C and 140 °C relative to the target surface (200 °C), respectively, providing excellent radiative suppression compared to similar studies. Remarkably, the designed emitter still demonstrates robust flexibility, making it suitable for a variety of targets with complex curved surfaces. This work paves the way for designing the flexible visible-infrared compatible camouflage coatings with integrated thermal management functionality. © 2024, The Authors. All rights reserved.

关键词： Germanium alloys

来源：评论

学校读者我要写书评

暂无评论

Language-Assisted Human Part Motion Learning for Skeleton-Based Temporal Action Segmentation

arXiv

引用

arXiv 2024年

作者： Chen, Bowen Ji, Haoyu Wang, Zhiyong Filtjens, Benjamin Wang, Chunzhuo Ren, Weihong Vanrumste, Bart Liu, Honghai State Key Laboratory of Robotics and Systems Harbin Institute of Technology Shenzhen Shenzhen518055 China KU Leuven Leuven Belgium e-Media Research Lab KU Leuven Leuven Belgium Peng Cheng Laboratory Shenzhen518000 China

Skeleton-based Temporal Action Segmentation involves the dense action classification of variable-length skeleton sequences. Current approaches primarily apply graph-based networks to extract framewise, whole-body-level motion representations, and use one-hot encoded labels for model optimization. However, whole-body motion representations do not capture finegrained part-level motion representations and the one-hot encoded labels neglect the intrinsic semantic relationships within the language-based action definitions. To address these limitations, we propose a novel method named Language-assisted Human Part Motion Representation Learning (LPL), which contains a Disentangled Part Motion Encoder (DPE) to extract duallevel (i.e., part and whole-body) motion representations and a Language-assisted Distribution Alignment (LDA) strategy for optimizing spatial relations within representations. Specifically, after part-aware skeleton encoding via DPE, LDA generates dual-level action descriptions to construct a textual embedding space with the help of a large-scale language model. Then, LDA motivates the alignment of the embedding space between text descriptions and motions. This alignment allows LDA not only to enhance intra-class compactness but also to transfer the language-encoded semantic correlations among actions to skeleton-based motion learning. Moreover, we propose a simple yet efficient Semantic Offset Adapter to smooth the cross-domain misalignment. Our experiments indicate that LPL achieves stateof- the-art performance across various datasets (e.g., +4.4% Accuracy, +5.6% F1 on the PKU-MMD dataset). Moreover, LDA is compatible with existing methods and improves their performance (e.g., +4.8% Accuracy, +4.3% F1 on the LARa dataset) without additional inference costs. Copyright © 2024, The Authors. All rights reserved.

关键词： Musculoskeletal system

来源：评论

学校读者我要写书评

暂无评论

Proton Exchange-Enhanced Surface Activated Bonding for Facile Fabrication of Monolithic Lithium Niobate Microfluidic Chips

SSRN

引用

SSRN 2024年

作者： Du, Yu Pang, Zirui Zou, Yuanshu Zhu, Bingxuan Liu, Linjie Zhang, Xuming Wang, Chenxi State Key Laboratory of Precision Welding Joining of Materials and Structures Harbin Institute of Technology Harbin150001 China Photonics Research Institute Department of Applied Physics The Hong Kong Polytechnic University Hong Kong Key Laboratory of Laser & Infrared System Ministry of Education Shandong University Qingdao266237 China Shenzhen518055 China

In the quest to enhance the functionality and efficiency of lab-on-a-chip systems, integrating diverse physical phenomena such as acoustics, optics, and electronics into a single platform has emerged as a pivotal strategy. Lithium niobate (LiNbO3, or LN) stands out for its exceptional piezoelectric and electro-optic properties, making it an ideal candidate for such integrated systems. However, the full exploitation of LN in microfluidic applications has been hindered by the complex challenges associated with its fabrication. Addressing this gap, our research introduces a facile fabrication method for creating monolithic LN microfluidic chips. By employing a proton exchange-assisted surface-activated bonding technique, we achieve high-strength, flawless bonding at lower temperatures, overcoming the traditional barriers of LN machining. This method eliminates the chemical stability of LN by removing lithium ions and significantly enriches the surface with functional groups, leading to a bonding strength exceeding 10 MPa after annealing at 150°C. Additionally, we have optimized an argon plasma etching process to ensure the creation of smooth LN channels at room temperature. The development of a fully integrated LN chip through this approach demonstrates superior performance, especially in surface acoustic wave (SAW) applications, compared to conventional PDMS/LN hybrids. This breakthrough not only realizes the fabrication process of LN microfluidic devices but also opens new avenues for the advancement of integrated microsystems across various scientific and technological domains. © 2024, The Authors. All rights reserved.

关键词： Microfluidic chips

来源：评论

学校读者我要写书评

暂无评论

基于自解耦三明治结构的横向运动栅场效应晶体管MEMS微力传感器

引用

Engineering 2023年第2期21卷 61-74,M0004页

作者：高文迪乔智霞韩香广王小章 Adnan Shakoor 刘存朗卢德江杨萍赵立波王永录王久洪蒋庄德孙东 State Key Laboratory for Manufacturing Systems Engineering International Joint Laboratory for Micro/Nano Manufacturing and Measurement TechnologiesOverseas Expertise Introduction Center for Micro/Nano Manufacturing and Nano Measurement Technologies Discipline InnovationXi’an Jiaotong University(Yantai)Research Institute for Intelligent Sensing Technology and SystemSchool of Mechanical EngineeringXi’an Jiaotong UniversityXi’an 710049China Shandong Laboratory of Yantai Advanced Materials and Green Manufacturing Yantai 265503China Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of TechnologyBeijing 100081China State Key Laboratory of Robotics and Systems Harbin Institute of TechnologyHarbin 150006China Eleventh Research Institute Sixth Academy of China Aerospace Science and Technology Co.Xi’an 710100China Department of Control and Instrumentation Engineering King Fahd University of Petroleum and MineralsDhahran 31261Saudi Arabia Department of Biomedical Engineering City University of Hong KongHong Kong 999077China

本文介绍了一种基于横向可移动栅极场效应晶体管(LMGFET)的新型微型力传感器的开发。提出了一种精确的电气模型,用于小型LMGFET器件的性能评估,与以前的模型相比,其精度有所提高。采用了一种新型三明治结构,该结构由一个金交叉解耦栅阵... 详细信息

本文介绍了一种基于横向可移动栅极场效应晶体管(LMGFET)的新型微型力传感器的开发。提出了一种精确的电气模型,用于小型LMGFET器件的性能评估,与以前的模型相比,其精度有所提高。采用了一种新型三明治结构,该结构由一个金交叉解耦栅阵列层和两个软光阻层SU-8组成。通过所提出的双差分传感结构,LMGFET横向工作在垂直干扰下的输出电流被大大消除,所提出传感器的相对输出误差从4.53%(传统差分结构)降低到0.01%。提出了一种实用的传感器制造工艺,并对其进行了模拟。基于LMGFET的力传感器的灵敏度为4.65μA·nN^(-1),可与垂直可移动栅极场效应晶体管(VMGFET)器件相媲美,但非线性度提高了0.78%,测量范围扩大了±5.10μN。这些分析为LMGFET器件的电气和结构参数提供了全面的设计优化,并证明了所提出的传感器在生物医学显微操作应用中具有良好的力传感潜力。

关键词：力传感器场效应晶体管横向运动三明治结构电气模型显微操作非线性度双差分

来源：评论

学校读者我要写书评

暂无评论

WSCFER: Improving Facial Expression Representations by Weak Supervised Contrastive Learning

WSCFER: Improving Facial Expression Representations by Weak ...

引用

IEEE/RSJ International Conference on Intelligent Robots and systems (IROS)

作者： Wei Nie Bowen Chen Wenhao Wu Xiu Xu Weihong Ren Honghai Liu State Key Laboratory of Robotics and Systems Harbin Institute of Technology Shenzhen Shenzhen China Department of Child Health Care Children's Hospital of Fudan University Shanghai China

The major challenge of Facial Expression Recog-nition (FER) is to learn class discriminative representations, and the existing works mainly address it by designing various classification networks from class level. However, learning representations at class level is limited due to the inconspicuous class discrimination among different facial expressions. Thus, in this paper, we propose a Weak Supervised Contrastive learning FER (WSCFER) method to improve facial expression representations by simultaneously learning instance-level representations which are highly complementary to the general class-level representations. Specifically, our proposed WSCFER consists of three components: a major task for FER classification, an auxiliary task for Weak Supervised Contrastive (WSC) learning which pulls augmented samples of the same image together while pushing apart instance samples from different classes, and a Partial Consistency Loss (PCL) for optimizing the two embedding spaces from both the class level and the instance level. We compare WSC with some state-of-the-art contrastive methods and find that it can efficiently learn instance-level representations but avoid overemphasizing irrelevant parts, which is crucial for FER. WSCFER achieves superior performance on several in-the-wild databases, and it also shows the promising potential for learning representations under noisy annotations.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Research on Programmable Spatial Capture Mechanism and its Motion Characteristics Based on Origami Principle

SSRN

引用

SSRN 2022年

作者： Wang, Gang Wang, Jingtian Yao, Yimeng Yang, Fei Yue, Honghao Hebei Province Micro-nano Satellite Collaborative Innovation Center North China Institute Of Aerospace Engineering Langfang065000 China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China

In view of the capture requirements of non-cooperative targets in space debris removal tasks, this paper designs a programmable spatial capture mechanism by using the closed envelope characteristic of the origami mechanism. An enveloping origami mechanism was proposed and its programmable parametric design was carried out. Firstly, the kinematic model of the origami mechanism was established and the motion law of the axisymmetric folding state of the origami mechanism was analyzed. The folding performance of the origami mechanism under the three parameter characteristics of equal proportion crease length, equal proportion folding plate area and equal proportional configuration angle. The optimal parameters of the origami mechanism with closed edges, large envelope space, smooth envelope contour, small windup and smooth folding motion were obtained. The drive mechanism was designed for the motion characteristics of the axisymmetric folding origami mechanism. The simulation software was used to simulate the capture of space debris by origami mechanisms in a microgravity environment. The simulation results show that the origami mechanism can achieve the space debris capture task with highly reliable, large tolerance and enveloping. © 2022, The Authors. All rights reserved.

关键词： Space debris

来源：评论

学校读者我要写书评

暂无评论

BEE-Net: Bridging Semantic and Instance with Gated Encoding and Edge Constraint for Efficient Panoptic Segmentation

BEE-Net: Bridging Semantic and Instance with Gated Encoding ...

引用

IEEE International Conference on robotics and Automation (ICRA)

作者： Xinyang Huang Guanghui Zhang Dongchen Zhu Yunpeng Sun Wenjun Shi Gang Ye Yang Xiao Lei Wang Xiaolin Zhang Bo Li Jiamao Li Bionic Vision System Laboratory State Key Laboratory of Transducer Technology Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai China University of Chinese Academy of Sciences Beijing China Lotus Robotics Ltd. ShanghaiTech University Shanghai China

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

Panoptic segmentation is a challenging perception task, which can help robots to comprehensively perceive the surrounding environment. In the task, we notice that semantic, instance, and panoptic have rich relations, however, which are rarely explored. In this work, we propose a novel panoptic, instance, and semantic bridged network to delve into the reciprocal relation. To make semantic and instance benefit from each other, we design a novel Gated Encoding (GE) module, incorporating complementary cues between semantic and instance heads through the gated mechanism. In addition, a novel edge-aware consistency constraint among edges of each task is presented, which exhaustedly exploits geometric constraints, to boost the segmentation quality of challenging edges. Experimental results on the Cityscapes and MS-COCO datasets demonstrate that our approach achieves state-of-the-art performance in an efficient CNN-based paradigm, attaining a balance between accuracy and efficiency.

关键词： Bridges Accuracy Semantics Logic gates Germanium Encoding Task analysis

来源：评论

学校读者我要写书评

暂无评论

End-to-end Semantic Segmentation Network for Low-Light Scenes

End-to-end Semantic Segmentation Network for Low-Light Scene...

引用

IEEE International Conference on robotics and Automation (ICRA)

作者： Hongmin Mu Gang Zhang MengChu Zhou Zhengcai Cao College of Information Science and Technology Beijing University of Chemical Technology Beijing China Department of Macao Institute of Systems Engineering Macau University of Science and Technology Macao China Helen and John C. Hartmann Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA State Key Laboratory of Robotics and Systems Harbin Institute of Technology Harbin China

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

In the fields of robotic perception and computer vision, achieving accurate semantic segmentation of low-light or nighttime scenes is challenging. This is primarily due to the limited visibility of objects and the reduced texture and color contrasts among them. To address the issue of limited visibility, we propose a hierarchical gated convolution unit, which simultaneously expands the receptive field and restores edge texture. To address the issue of reduced texture among objects, we propose a dual closed-loop bipartite matching algorithm to establish a total loss function consisting of the unsupervised illumination enhancement loss and supervised intersection-over-union loss, thus enabling the joint minimization of both losses via the Hungarian algorithm. We thus achieve end-to-end training for a semantic segmentation network especially suitable for handling low-light scenes. Experimental results demonstrate that the proposed network surpasses existing methods on the Cityscapes dataset and notably outperforms state-of-the-art methods on both Dark Zurich and Nighttime Driving datasets.

关键词： Training Computer vision Accuracy Convolution Semantic segmentation Lighting Logic gates

来源：评论

学校读者我要写书评

暂无评论

Economic Dispatch Strategy for Virtual Power Plants Based on Distributed Multi-Agent Algorithms

Economic Dispatch Strategy for Virtual Power Plants Based on...

引用

Energy Engineering and Power systems (EEPS), International Conference on

作者： Dong Jiang Chenxia Wang Yali Xue Department of Energy and Power Engineering State Key Laboratory of Power System Operation and Control Tsinghua University Beijing China College of New Energy Harbin Institute of Technology at Weihai Weihai China Department of Energy and Power Engineering State Key Laboratory of Power System Operation and Control Tsinghua Shanxi Clean Energy Research Institute Tsinghua University Beijing China

ISBN: (数字)9798350375138

ISBN: (纸本)9798350375145

This paper proposes an economic dispatch strategy for virtual power plants(VPP) based on distributed multi-agent algorithms to optimize resource allocation and maximize the VPP economy, in response to the volatility and uncertainty associated with a significant amount of renewable energy. An economic dispatch model for VPP is established in which the coefficients of the cost function are time-varying to account for the effect of the renewable energy output variation. Then a distributed multi-agent algorithm based on graph theory and the Lagrange multiplier method is developed to facilitate communication among individual units and minimize the total operational cost of the system. The effectiveness of the proposed algorithm is validated through numerical examples, which demonstrate its capability to optimize resource allocation, achieve economic dispatch for the VPP, and exhibit a rapid rate of convergence.

关键词： Economics Renewable energy sources Uncertainty Virtual power plants Cost function Graph theory Scheduling Power systems Resource management Convergence

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：