检索结果-内蒙古大学图书馆

MSDE-Net: A Multi-Scale Dual-Encoding Network for Surgical Instrument Segmentation

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS 2024年第7期28卷 4072-4083页

作者： Yang, Lei Gu, Yuge Bian, Guibin Liu, Yanhong Zhengzhou Univ Sch Elect & Informat Engn Zhengzhou 450001 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China

Minimally invasive surgery, which relies on surgical robots and microscopes, demands precise image segmentation to ensure safe and efficient procedures. Nevertheless, achieving accurate segmentation of surgical instruments remains challenging due to the complexity of the surgical environment. To tackle this issue, this paper introduces a novel multiscale dual-encoding segmentation network, termed MSDE-Net, designed to automatically and precisely segment surgical instruments. The proposed MSDE-Net leverages a dual-branch encoder comprising a convolutional neural network (CNN) branch and a transformer branch to effectively extract both local and global features. Moreover, an attention fusion block (AFB) is introduced to ensure effective information complementarity between the dual-branch encoding paths. Additionally, a multilayer context fusion block (MCF) is proposed to enhance the network's capacity to simultaneously extract global and local features. Finally, to extend the scope of global feature information under larger receptive fields, a multi-receptive field fusion (MRF) block is incorporated. Through comprehensive experimental evaluations on two publicly available datasets for surgical instrument segmentation, the proposed MSDE-Net demonstrates superior performance compared to existing methods.

关键词： Surgical instrument segmentation transformer dual-branch encoder feature fusion

来源：评论

学校读者我要写书评

暂无评论

A Survey of Vehicle Dynamics Modeling Methods for Autonomous Racing: Theoretical Models, Physical/Virtual Platforms, and Perspectives

IEEE TRANSACTIONS ON INTELLIGENT VEHICLES

引用

IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 2024年第3期9卷 4312-4334页

作者： Zhang, Tantan Sun, Yueshuo Wang, Yazhou Li, Bai Tian, Yonglin Wang, Fei-Yue Hunan Univ Coll Mech & Vehicle Engn Changsha 410082 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China

This paper presents the first survey of vehicle dynamics modeling methods for autonomous racing. Previous surveys have covered dynamics models for standard autonomous vehicles or, alternatively, concentrated on planning and control methods in autonomous racing with vehicle dynamics models briefly mentioned. However, previous surveys overlook the importance of vehicle dynamics under challenging conditions of top speeds and non-steady state driving, which are unique characteristics in autonomous racing. Recognizing the vital role of vehicle dynamics modeling in an autonomous racecar's prediction, planning, and control modules, this survey seeks to ascertain to what degree the nominal full-scale racecar dynamics can be streamlined without sacrificing accuracy for simplicity. Furthermore, this survey provides essential guidance for organizers of virtual autonomous races, helping them choose vehicle dynamics models that meet the required level of precision. This paper begins with a review of previous surveys on vehicle dynamics modeling, highlighting their limitations in the context of autonomous racing. Following this, it investigates the existing dynamics models for autonomous racing vehicles, along with a comprehensive examination of the existing physical/virtual testing platforms. The paper concludes by discussing emerging trends and offering perspectives in the field of vehicle dynamics modeling for autonomous racing, paving the way for groundbreaking research and innovations in autonomous racing.

关键词： Vehicle dynamics Surveys Tires Planning Aerodynamics Heuristic algorithms Computational modeling Autonomous racing chassis vehicle dynamics testing platform intelligent vehicles for education (IV4E)

来源：评论

学校读者我要写书评

暂无评论

A Stochastic Traffic Flow Model-Based Reinforcement Learning Framework For Advanced Traffic Signal control

引用

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 2025年第1期26卷 714-723页

作者： Zhu, Yifan Lv, Yisheng Lin, Shu Xu, Jungang Univ Chinese Acad Sci Sch Comp Sci & Technol Beijing 101408 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China

In addressing the complex challenge of Traffic Signal control (TSC), Deep Reinforcement Learning (DRL) has emerged as a popular solution. In traditional DRL methods applied to TSC problems, deep neural networks are sensitive to minor input changes, which complicates accurate predictions. This ambiguity hampers algorithm convergence, speed, and overall performance. Additionally, existing DRL methods for TSC employ high-dimensional state spaces, escalating computational complexity. This study addresses these challenges by introducing an innovative approach, SLFMLight, that integrates a stochastic traffic flow model with DRL algorithm for TSC. Our method employs an innovative network update algorithm that integrates traffic flow prediction in Q-value learning process to enhance interpretability and accelerate algorithm convergence. Utilizing mode-based multi-actor networks to handle diverse traffic conditions, SLFMLight excels in decision-making towards complex traffic scenarios, especially in congested ones. Concise state definition improves computational efficiency. SLFMLight contributes to the advancement of intelligent traffic management by providing an effective DRL solution that improves interpretability, efficiency, and adaptability in TSC.

关键词： Stochastic processes Prediction algorithms Green products Turning Convergence Vectors Computational modeling Artificial neural networks Signal to noise ratio Markov decision processes Traffic signal control traffic networks deep reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Trajectory Planning Based on Spatio-Temporal Map with Collision Avoidance Guaranteed by Safety Strip

引用

IEEE Transactions on Intelligent Transportation Systems 2022年第2期23卷 1030-1043页

作者： Zhang, Ting Fu, Mengyin Song, Wenjie Yang, Yi Wang, Meiling State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing China

Trajectory planning for the unmanned vehicle in the complex environment has always been a challenging task. Planned trajectory with the corresponding target velocity or acceleration sequence must be collision-free guaranteed and as comfortable as possible on the premise of obeying the traffic rules and interaction with other dynamic social vehicles. To meet this requirement, this paper proposes a framework for trajectory planning based on spatio-Temporal map. Due to the time layer architecture in the map, the trajectory can be generated with velocity and acceleration simultaneously, and the whole trajectory is constrained within a 'safety strip', resulting in an efficient and safety guaranteed trajectory. The framework is composed of three sections: rough search, fine optimization and safety strip-based collision avoidance. For rough search, we propose an improved A∗ algorithm implemented in the discrete time layer to find out the suboptimal states efficiently. In fine optimization, the B-spline curve is exploited to connect the searched states into a continuous trajectory. And the optimal control points of B-spline are further grouped into several segments, forming the safety strip which is actually the distribution space of the planned trajectory. If necessary, an adjustment will be applied to keep the strip away from the collision zone, making the entire trajectory completely collision-free. Experiments on both public dataset and self-driving simulator show that the proposed framework can adapt to different kinds of complex traffic scenes well. © 2000-2011 IEEE.

关键词： Collision avoidance

来源：评论

学校读者我要写书评

暂无评论

Impact of climate change shocks on health risks attributed to urban residential PM2.5 in China

引用

Science Bulletin 2025年第8期70卷 1230-1234页

作者： Hui Dai John S.Ji Shuxiao Wang Bin Zhao Department of Building Science School of ArchitectureTsinghua UniversityBeijing 100084China Beijing Key Laboratory of Indoor Air Quality Evaluation and Control Tsinghua UniversityBeijing 100084China Vanke School of Public Health Tsinghua UniversityBeijing 100084China State Key Joint Laboratory of Environmental Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex School of EnvironmentTsinghua UniversityBeijing 100084China

With the rapid global urbanization and increasing climate risks in urban environments,urban planning has emerged as a pivotal component of climate policy[1,2].Urban areas are significant contributors to greenhouse gas emissions and highly vulnerable to climate change *** planning crucially contributes to changing the behavior and dynamics of exposure to both indoor and outdoor air *** the 28th United Nations Climate Change Conference(COP28),a declaration on health was adopted globally.

关键词： greenhouse gas emissions declaration health PM health risks climate policy urban changing behavior dynamics urban planning climate change

来源：评论

学校读者我要写书评

暂无评论

Nitrogen-removed organic matters from cyanobacterial decomposition promote the release of nitrogen from lake sediment

引用

Environmental Science and Pollution Research 2025年第13期32卷 8219-8230页

作者： Wang, Mengmeng Zhan, Yixuan Wang, Chenyu Song, Xiaohua Gan, Lin Lu, Hao Yang, Liuyan Key Laboratory of Taihu Basin Water Resources Management Ministry of Water Resources Nanjing210012 China State Key Laboratory of Pollution Control and Resource Reuse Key Laboratory of Aquatic Ecosystem Health in the Middle and Lower Reaches of Yangtze River School of Environment Nanjing University Nanjing210023 China

Cyanobacterial blooms, which carry a lot of nitrogen (N) and phosphorus (P), have emerged as one of the most severe environmental issues in freshwater ecosystems. However, there are few studies on the effect of organic matters released during cyanobacterial decomposition in promoting N release from lake sediments that remain underexplored. An essential step is to eliminate the impact of the N contributions from cyanobacteria when evaluating sedimentary N release. The response surface methodology (RSM) was developed to optimize the struvite precipitation model, and the results indicated that 1.3 of Mg/N, 1.0 of P/N, and pH 9.5 were the optimum conditions for N removal from cyanobacterial pyrolysis liquid. Following this, calcium phosphate crystallization (at pH 10 and Ca/P = 4.98) removed residual P, and zeolite adsorption (at pH 8 and 10 g/L zeolite dosage) eliminated the remaining N. Ultimately, 99.3% of N was removed with the two methods in cyanobacterial pyrolysis liquid. The cyanobacterial pyrolysis liquid, stripped of N, was found to significantly enhance the release of N from lake sediment under anaerobic conditions, which can then be reutilized by cyanobacteria. These findings reveal that organic matter derived from cyanobacterial decomposition promotes sedimentary N release, creating a feedback loop that sustains cyanobacterial blooms in freshwater ecosystems. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

关键词： Blooms (metal)

来源：评论

学校读者我要写书评

暂无评论

Recent advancements of nonlinear dynamics in mode coupled microresonators:a review

引用

Applied Mathematics and Mechanics(English Edition) 2025年第2期46卷 209-232页

作者： Xuefeng WANG Zhan SHI Qiqi YANG Yuzhi CHEN Xueyong WEI Ronghua HUAN Department of Engineering Mechanics MIIT Key Laboratory of Dynamics and Control of Complex SystemsNorthwestern Polytechnical UniversityXi’an 710129China Department of Mechanics Key Laboratory of Soft Machines and Smart Devices of Zhejiang ProvinceZhejiang UniversityHangzhou 310027China State Key Laboratory for Manufacturing Systems Engineering Xi’an Jiaotong UniversityXi’an 710054China

Due to scale effects,micromechanical resonators offer an excellent platform for investigating the intrinsic mechanisms of nonlinear dynamical phenomena and their potential *** review focuses on mode-coupled micromechanical resonators,highlighting the latest advancements in four key areas:internal resonance,synchronization,frequency combs,and mode *** origin,development,and potential applications of each of these dynamic phenomena within mode-coupled micromechanical systems are investigated,with the goal of inspiring new ideas and directions for researchers in this field.

关键词： mode coupling micro-electro-mechanical system(MEMS)resonator nonlinear dynamics

来源：评论

学校读者我要写书评

暂无评论

Drive Like a Machine: A Green Reflection of Red Flag Acts for Intelligent Vehicles

引用

IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE 2024年第1期16卷 199-202页

作者： Wang, Fei-Yue Chinese Acad Sci State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Macau Univ Sci & Technol Macau Inst Syst Engn Macau Peoples R China

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Green manufacturing for achieving carbon neutrality goal requires innovative technologies:A bibliometric analysis from 1991 to 2022

引用

Journal of Environmental Sciences 2024年第6期140卷 255-269页

作者： Sheng Zhang Xintian Wang Jiayu Xu Qinqin Chen Meng Peng Jiming Hao School of Environment Tsinghua UniversityBeijing 100084China School of Environment&Natural Resources Renmin University of ChinaBeijing 100872China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084China

Recent years have seen a significant increase in interest in green manufacturing as a key driver of global carbon-neutral efforts and sustainable *** find the research hotspots of green manufacturing and reveal future research trends,this study reviewed and analyzed research articles from the Web of Science database on green manufacturing from1991 to 2022 using a bibliometric *** findings indicate a significant rise in the number of articles related to green manufacturing since the ***,there has been an increase in the involvement of scholars from developing countries such as China and India in this *** on the literature review and bibliometric cluster analysis on green manufacturing,we believed that future research may continue following the lines of intelligent technology integration,adoption of frontier engineering techniques,and industry development in line with carbon reduction targets.A framework for future green manufacturing development is proposed,with a focus on Chinese *** framework could provide policy implications for developing countries looking to pursue opportunities for development in green manufacturing.

关键词： Green manufacturing Carbon neutrality Sustainable development Innovative technologies China

来源：评论

学校读者我要写书评

暂无评论

VistaScenario: Interaction Scenario Engineering for Vehicles with Intelligent Systems for Transport Automation

IEEE Transactions on Intelligent Vehicles

引用

IEEE Transactions on Intelligent Vehicles 2024年 1-17页

作者： Chang, Cheng Zhang, Jiawei Ge, Jingwei Zhang, Zuo Wei, Junqing Li, Li Wang, Fei-Yue Department of Automation Tsinghua University Beijing China DiDi Autonomous Driving Company Beijing China Department of Automation BNRist Tsinghua University Beijing China State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

Intelligent vehicles and autonomous driving systems rely on scenario engineering for intelligence and index (I&I), calibration and certification (C&C), and verification and validation (V&V). To extract and index scenarios, various vehicle interactions are worthy of much attention, and deserve refined descriptions and labels. However, existing methods cannot cope well with the problem of scenario classification and labeling with vehicle interactions as the core. In this paper, we propose VistaScenario framework to conduct interaction scenario engineering for vehicles with intelligent systems for transport automation. Based on the summarized basic types of vehicle interactions, we slice scenario data stream into a series of segments via spatiotemporal scenario evolution tree. We also propose the scenario metric Graph-DTW based on Graph Computation Tree and Dynamic Time Warping to conduct refined scenario comparison and labeling. The extreme interaction scenarios and corner cases can be efficiently filtered and extracted. Moreover, with naturalistic scenario datasets, testing examples on trajectory prediction model demonstrate the effectiveness and advantages of our framework. VistaScenario can provide solid support for the usage and indexing of scenario data, further promote the development of intelligent vehicles and transport automation. IEEE

关键词： Automation

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：