检索结果-内蒙古大学图书馆

The limits of unconscious semantic priming

Current Psychology 2023年第30期42卷 26824-26835页

作者： Chien, Sung-En Chang, Wei-Chen Chen, Yi-Chuan Huang, Shu-Lih Yeh, Su-Ling Department of Psychology National Taiwan University Taipei Taiwan Department of Psychology National Chengchi University Taipei Taiwan Department of Medicine Mackay Medical College New Taipei City Taiwan Graduate Institute of Brain and Mind Sciences National Taiwan University Taipei Taiwan Neurobiology and Cognitive Neuroscience Center National Taiwan University Taipei Taiwan Center for Artificial Intelligence and Advanced Robotics National Taiwan University Taipei Taiwan

Semantic information can be accessed unconsciously, yet it remains unclear to what extent unconscious semantic information spreads across association networks. We compared conscious and unconscious semantic priming among different levels of semantic associations: direct, cross-form, and metaphoric associations. Chinese words associated with thermal qualities (cold or warm) were adopted as the primes, followed by a discrimination task regarding the target being associated with coldness or warmth. The targets were (1) words with thermal qualities, (2) illustrations representing thermal qualities, or (3) words describing personality traits that are metaphorically associated with thermal qualities. We first demonstrated the typical semantic priming effect in the three types of semantic associations when the prime was visible (Experiment 1). We then rendered the primes invisible using the continuous flash suppression paradigm and found a reversed semantic priming effect for the direct association and yet no priming effects for the cross-form and metaphoric associations (Experiment 2). These results suggested that unconscious semantic priming only occurs between directly associated stimuli while consciousness is necessary for higher-level associations and facilitatory interactions, delineating the contrast between unconscious and conscious semantic processing. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

关键词： Consciousness Continuous flash suppression Semantic priming Thermal quality

来源：评论

学校读者我要写书评

暂无评论

Workspace analysis of a novel 5-SPS-UPU parallel robot manipulator

Workspace analysis of a novel 5-SPS-UPU parallel robot manip...

引用

2022 IEEE International Conference on robotics and Biomimetics, ROBIO 2022

作者： Jiang, Bingshan Kong, Lingyu Zhu, Shiqiang Fang, Hairong Huang, Guanyu Gu, Jianjun Research Center for Intelligent Robotics Research Institute of Interdisciplinary Innovation Zhejiang Lab Hangzhou311100 China Department of Engineering Mechanics Beijing Jiaotong University China

ISBN: (纸本)9781665481090

The purpose of the paper is to determine the importance of workspace and the relationship between workspace and geometry for the optimal design in parallel robot. In this paper, a new type of parallel robot is proposed, which can generate three degrees of freedom translation and two degrees of freedom rotation. The kinematics equations and mathematical model of 5-SPS-UPU parallel robot are derived. The inverse kinematics matrix and Jacobian matrix are derived by coordinate transformation theory and differential method. Using this software, the workspace of the new robot is analyzed by using boundary search method. The changes of robot attitude and position workspace are analyzed numerically. The analysis results show that the robot described in this paper has a large effective workspace and can be widely used in the field of industrial robots. © 2022 IEEE.

关键词： Industrial robots

来源：评论

学校读者我要写书评

暂无评论

MR Elastography with Optimization-Based Phase Unwrapping and Traveling Wave Expansion-Based Neural Network (TWENN)

引用

IEEE Transactions on Medical Imaging 2023年第9期42卷 2631-2642页

作者： Ma, Shengyuan Wang, Runke Qiu, Suhao Li, Ruokun Yue, Qi Sun, Qingfang Chen, Liang Yan, Fuhua Yang, Guang-Zhong Feng, Yuan Shanghai Jiao Tong University School of Biomedical Engineering Institute of Medical Robotics The Natl. Eng. Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy Shanghai200030 China Shanghai Jiao Tong University Ruijin Hospital School of Medicine Department of Radiology Shanghai200025 China Fudan University Huashan Hospital Department of Neurosurgery Shanghai200040 China Shanghai Jiao Tong University Ruijin Hospital School of Medicine Department of Neurosurgery Shanghai200020 China Shanghai Jiao Tong University Institute of Medical Robotics The School of Biomedical Engineering The Natl. Eng. Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy Shanghai200240 China

Magnetic Resonance Elastography (MRE) can characterize biomechanical properties of soft tissue for disease diagnosis and treatment planning. However, complicated wavefields acquired from MRE coupled with noise pose challenges for accurate displacement extraction and modulus estimation. Using optimization-based displacement extraction and Traveling Wave Expansion-based Neural Network (TWENN) modulus estimation, we propose a new pipeline for processing MRE images. An objective function with Dual Data Consistency (Dual-DC) has been used to ensure accurate phase unwrapping and displacement extraction. For the estimation of complex wavenumbers, a complex-valued neural network with displacement covariance as an input has been developed. A model of traveling wave expansion is used to generate training datasets for the network with varying levels of noise. The complex shear modulus map is obtained through fusion of multifrequency and multidirectional data. Validation using brain and liver simulation images demonstrates the practical value of the proposed pipeline, which can estimate the biomechanical properties with minimal root-mean-square errors when compared to state-of-the-art methods. Applications of the proposed method for processing MRE images of phantom, brain, and liver reveal clear anatomical features, robustness to noise, and good generalizability of the pipeline. © 1982-2012 IEEE.

关键词： Data mining

来源：评论

学校读者我要写书评

暂无评论

Vehicle Trajectory Prediction with Soft Behavior Constraints

Vehicle Trajectory Prediction with Soft Behavior Constraints

引用

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

作者： Ke Ye Sanping Zhou Miao Kang Jingwen Fu Nanning Zheng National Key Laboratory of Human-Machine Hybrid Augmented Intelligence National Engineering Research Center for Visual Information and Applications and Institute of Artificial Intelligence and Robotics Xi’an Jiaotong University Shaanxi China

ISBN: (数字)9798350377705

ISBN: (纸本)9798350377712

Trajectory prediction plays a crucial role in autonomous driving, but it is challenging due to the multi-modal nature of future trajectories. Behavior information is frequently employed to capture more diverse modalities of future trajectories. Traditional behavior information is typically hard-encoded, which is often inaccurate and inadequate for reflecting future multimodality. Therefore, we introduce the concept of soft vehicle behavior, which is represented as a probability distribution over a predefined comprehensive set of behaviors. This approach allows for a more rational depiction of vehicle behavior and captures potential future driving modalities. Based on it, we propose a new soft-behavior-constrained vehicle trajectory prediction framework. The framework consists of a backbone and a lightweight and plug-and-play behavior prediction module, which is used to imbue soft behavior constraints to assist in representation learning. We integrated the behavior prediction module into five representative trajectory predictors and achieved improvements of at least 4.2% in minFDE(K=5) on the nuScenes dataset and 0.5% in minFDE(K=6) on the Argoverse 1 motion forecasting dataset. These universal increments prove the effectiveness and generalizability of soft behavior constraints in vehicle trajectory prediction.

关键词： Representation learning Space vehicles Philosophical considerations Pedestrians Buildings Predictive models Probability distribution Trajectory Forecasting Intelligent robots

来源：评论

学校读者我要写书评

暂无评论

A Client Selection Method Based on Loss Function Optimization for Federated Learning

引用

Computer Modeling in engineering & Sciences 2023年第10期137卷 1047-1064页

作者： Yan Zeng Siyuan Teng Tian Xiang Jilin Zhang Yuankai Mu Yongjian Ren Jian Wan School of Computer Science and Technology Hangzhou Dianzi UniversityHangzhou310018China Key Laboratory of Complex System Modeling and Simulation Ministry of EducationHangzhou310018China Zhejiang Engineering Research Center of Data Security Governance Hangzhou310018China Intelligent Robotics Research Center Zhejiang LabHangzhou311100China HDU-ITMO Joint Institute Hangzhou Dianzi UniversityHangzhou310018China

Federated learning is a distributedmachine learningmethod that can solve the increasingly serious problemof data islands and user data privacy,as it allows training data to be kept locally and not shared with other *** trains a globalmodel by aggregating locally-computedmodels of clients rather than their ***,the divergence of local models caused by data heterogeneity of different clients may lead to slow convergence of the global *** this problem,we focus on the client selection with federated learning,which can affect the convergence performance of the global model with the selected local *** propose FedChoice,a client selection method based on loss function optimization,to select appropriate local models to improve the convergence of the global *** firstly sets selected probability for clients with the value of loss function,and the client with high loss will be set higher selected probability,which can make them more likely to participate in ***,it introduces a local control vector and a global control vector to predict the local gradient direction and global gradient direction,respectively,and calculates the gradient correction vector to correct the gradient direction to reduce the cumulative deviationof the local gradient causedby *** experiments to verify the validity of FedChoice on CIFAR-10,CINIC-10,MNIST,EMNITS,and FEMNIST datasets,and the results show that the convergence of FedChoice is significantly improved,compared with FedAvg,FedProx,and FedNova.

关键词： Federated learning model aggregation Non-IID

来源：评论

学校读者我要写书评

暂无评论

Neural P3M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs 38

Neural P3M: A Long-Range Interaction Modeling Enhancer for G...

引用

38th Conference on Neural Information Processing Systems, NeurIPS 2024

作者： Wang, Yusong Cheng, Chaoran Li, Shaoning Ren, Yuxuan Shao, Bin Liu, Ge Heng, Pheng-Ann Zheng, Nanning National Key Laboratory of Human-Machine Hybrid Augmented Intelligence National Engineering Research Center for Visual Information and Applications Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University China University of Illinois Urbana-Champaign United States Department of Computer Science and Engineering The Chinese University of Hong Kong Hong Kong University of Science and Technology of China China Microsoft Research AI4Science United States

Geometric graph neural networks (GNNs) have emerged as powerful tools for modeling molecular geometry. However, they encounter limitations in effectively capturing long-range interactions in large molecular systems due to the localization assumption of GNN. To address this challenge, we introduce Neural P3M, a versatile enhancer of geometric GNNs to expand the scope of their capabilities by incorporating mesh points alongside atoms and reimaging traditional mathematical operations in a trainable manner. Neural P3M exhibits flexibility across a wide range of molecular systems and demonstrates remarkable accuracy in predicting energies and forces, outperforming on benchmarks such as the MD22 dataset. It also achieves an average improvement of 22% on the OE62 dataset while integrating with various architectures. Codes are available at https://***/OnlyLoveKFC/Neural_P3M. © 2024 Neural information processing systems foundation. All rights reserved.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Key Technologies of Lower Limb Power-Assisted Exoskeleton Robots: A Review 6

Key Technologies of Lower Limb Power-Assisted Exoskeleton Ro...

引用

6th International Conference on Control, robotics and Cybernetics, CRC 2021

作者： Li, Yunji Sun, Haifeng Wang, Chunlei Yang, Ya Fan, Chunhui Zhang, Zhenyu Rui, Yuefeng The 21st Research Institute of CETC Shanghai Robotics Engineering Center China

ISBN: (纸本)9781665424370

Powered lower limb exoskeleton robots can be divided into 3 types according to their functions: rehabilitation exoskeleton, power-assisted exoskeleton and load-bearing exoskeleton. The lower limb power-assisted exoskeleton robot has broad application prospects due to its light weight, small size and good human-machine compatibility. The four key technologies including mechanical structure design, drive system design, human movement intention recognition, and control system design will be illustrated. For different technologies, a detailed comparison between existing solutions is provided. The remaining unresolved problems and future directions are also discussed in detail to further improve the efficiency, safety and usability of the technology. © 2021 IEEE.

关键词： Control systems

来源：评论

学校读者我要写书评

暂无评论

TReR: A Lightweight Transformer Re-Ranking Approach for 3D LiDAR Place Recognition

arXiv

引用

arXiv 2023年

作者： Barros, Tiago Garrote, Luís Aleksandrov, Martin Premebida, Cristiano Nunes, Urbano J. The University of Coimbra Institute of Systems and Robotics Department of Electrical and Computer Engineering Portugal Dahlem Center for Machine Learning and Robotics Freie Universität Berlin Berlin Germany

Autonomous driving systems often require reliable loop closure detection to guarantee reduced localization drift. Recently, 3D LiDAR-based localization methods have used retrieval-based place recognition to find revisited places efficiently. However, when deployed in challenging real-world scenarios, the place recognition models become more complex, which comes at the cost of high computational demand. This work tackles this problem from an information-retrieval perspective, adopting a first-retrieve-then-re-ranking paradigm, where an initial loop candidate ranking, generated from a 3D place recognition model, is re-ordered by a proposed lightweight transformer-based re-ranking approach (TReR). The proposed approach relies on global descriptors only, being agnostic to the place recognition model. The experimental evaluation, conducted on the KITTI Odometry dataset, where we compared TReR with s.o.t.a. re-ranking approaches such as αQE and SGV, indicate the robustness and efficiency when compared to αQE while offering a good trade-off between robustness and efficiency when compared to SGV. © 2023, CC BY.

关键词： Efficiency

来源：评论

学校读者我要写书评

暂无评论

A Multimodal Soft Gripper with Variable Stiffness and Variable Gripping Range Based on MASH Actuator

arXiv

引用

arXiv 2024年

作者： Li, Dannuo Zhou, Xuanyi Xiong, Quan Yeow, Chen-Hua The Department of Biomedical Engineering and Advanced Robotics Centre National University of Singapore Singapore117583 Singapore The Department of Biomedical Engineering National University of Singapore Singapore117583 Singapore The Department of Biomedical Engineering and Advanced Robotics Centre National University of Singapore Singapore117583 Singapore The Department of Biomedical Engineering and Advanced Robotics Centre National University of Singapore Singapore117583 Singapore Computer Science & Artificial Intelligence Laboratory Massachusetts Institute of Technology 02139 United States

Soft pneumatic actuators with integrated strain-limiting layers have emerged as predominant components in the field of soft gripper technology for several decades. However, owing to their intrinsic strain-limiting layer design, these soft grippers possess a singular gripping functionality, rendering them incapable of adapting to diverse gripping tasks with different strategies. Based on our previous work, we introduce a novel soft gripper that offers variable stiffness, an adjustable gripping range, and multifunctionality. The MASH actuator-based soft gripper can expand its gripping range up to threefold compared to the original configuration and ensures secure grip by enhancing stiffness when handling heavy objects. Moreover, it supports multitasking gripping through specific gripping strategy control. Copyright © 2024, The Authors. All rights reserved.

关键词： Pneumatic actuators

来源：评论

学校读者我要写书评

暂无评论

Influence of Centrodes Coefficient on the Characteristic of Gear Ratio Function of the Compound Non-circular Gear Train with Improved Cycloid Tooth Profile 6th

Influence of Centrodes Coefficient on the Characteristic of ...

引用

6th IFToMM Asian Mechanisms and Machine Science Conference, Asian MMS 2021

作者： Thai, Nguyen Hong Van Thom, Phung Trung, Nguyen Thanh Department of Mechanical Design and Robotics School of Mechanical Engineering Hanoi University of Science and Technology Hanoi Viet Nam Vietnam National Research Institute of Mechanical Engineering Hanoi Viet Nam

ISBN: (纸本)9783030918910

In this paper, the authors evaluate the influence of the centrodes coefficients on the gear ratio function characteristics of the compound non-circular gear (CNCG) train formed by two pairs of external non-circular gears (NCGs). First, a mathematical model describing the mating centrodes for the CNCG train has been establishing. From there, evaluate the influence of centrode coefficients μ1 and μ2 of NCGs in the CNCG train on the gear ratio function characteristic for the CNCG train. A design of a CNCG train with an improved cycloid tooth profile by a rack cutter. The evaluation results show that when increasing μ1, transmission size tends to decrease, but the speed and torque variation range rises to 54.31%. While reducing μ2, the speed variation and torque range increase, but the mating centrodes of NCGs 4 is a concave curve that cannot gear shaping by a rack cutter or hob cutter must be by shaper cutter. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Function evaluation

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：