检索结果-内蒙古大学图书馆

IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Elahe Rahimian Soheil Zabihi Seyed Farokh Atashzar Amir Asif Arash Mohammadi Concordia Institute for Information System Engineering Concordia University Montreal QC Canada Electrical and Computer Engineering Concordia University Montreal QC Canada Electrical & Computer Engineering Mechanical & Aerospace Engineering New York University USA

ISBN: (数字)9781509066315

ISBN: (纸本)9781509066322

Capitalizing on the goal of addressing identified shortcomings of recent solutions developed for recognition tasks via sparse multichannel surface Electromyography (sEMG) signals, the paper proposes a novel deep learning model, referred to as the XceptionTime architecture. The proposed innovative XceptionTime architecture is designed by integration of depthwise separable convolutions, adaptive average pooling, and a novel no-linear normalization technique. At the hearth of the proposed architecture is several XceptionTime modules concatenated in series fashion designed to captures both temporal and spatial information-bearing contents of the sparse multichannel sEMG signals without the need for data augmentation and manual design of feature extraction. In addition to instruction of the new XceptionTime module, by integration of adaptive average pooling, instead of fully connected layers, and utilization of a novel non-linear normalization approach, the proposed architecture is less prone to overfitting, more robust to temporal translation of the input, and more importantly is independent from the input window size, i.e., there is no need to change/reconfigure the architecture by changing the size of the input sequence. Finally, by utilizing the depthwise separable convolutions, the XceptionTime network has far less parameters resulting in less complex network.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Disassociation of Visual-proprioception Feedback to Enhance Endotracheal Intubation

Disassociation of Visual-proprioception Feedback to Enhance ...

引用

Future Trends in Smart Communities (ICFTSC), International Conference on

作者： Mahdiyeh Sadat Moosavi Jacob Williams Christophe Guillet Frédéric Merienne J. Cecil Michael Pickett Arts et Metiers Institute of Technology LISPEN HESAM Université Chalon-Sur-Saone France Department of Computer Science Oklahoma State University Stillwater Oklahoma United States of America LISPEN UBFC Université de Bourgogne Chalon-Sur-Saone Department of Computer Science Center for Cyber-Physical system Oklahoma State University Stillwater Oklahoma United States of America Department of Mechanical Engineering Oklahoma State University Stillwater Oklahoma United States of America

ISBN: (纸本)9798350334555

This paper discusses the key elements of a research study that focused on training an important procedure called “Endotracheal intubation” to novice students. Such a procedure is a virtual part of treating patients who are infected with the covid-19 virus. A virtual reality environment was created to facilitate the training of novice nurses (or nurse trainees) using the HTC Vive platform. The primary interaction with the virtual objects inside this simulation-based training environment was using the hand controller. However, the small mouth of the virtual patient and the necessity of utilizing both hands to pick up the laryngoscope and endotracheal tube at the same time (during training), led to collisions involving the hand controllers and hampered the immersive experience of the participants. A multi-sensory conflict notion-based approach was proposed to address this problem. We used “Haptic retargeting” method to solve this issue. And we compared the result of the haptic retargeting method with reference condtion. Initial Results (through a questionnaire) suggest that this Haptic retargeting approach increases the participants’ sense of presence in the virtual environment.

关键词： Training Smart cities Virtual environments Mouth Immersive experience Robot sensing systems Market research

来源：评论

学校读者我要写书评

暂无评论

Ptychographic lens-less polarization microscopy

arXiv

引用

arXiv 2022年

作者： Kim, Jeongsoo Song, Seungri Kim, Bora Park, Mirae Oh, Seung Jae Kim, Daesuk Cense, Barry Huh, Yong-Min Lee, Joo Yong Joo, Chulmin Department of Mechanical Engineering Yonsei University Seoul03722 Korea Republic of Department of Ophthalmology Asan Medical Center University of Ulsan College of Medicine Seoul05505 Korea Republic of Department of Radiology College of Medicine Yonsei University Seoul03722 Korea Republic of YUHS-KRIBB Medical Convergence Research Institute Seoul03722 Korea Republic of Department of Mechanical System Engineering Jeonbuk National University Jeonju54896 Korea Republic of Optical and Biomedical Engineering Laboratory Department of Electrical Electronic & Computer Engineering The University of Western Australia PerthWA6009 Australia Department of Biochemistry & Molecular Biology College of Medicine Yonsei University Seoul03722 Korea Republic of

Birefringence, an inherent characteristic of optically anisotropic materials, is widely utilized in various imaging applications ranging from material characterizations to clinical diagnosis. Polarized light microscopy enables high-resolution, high-contrast imaging of optically anisotropic specimens, but it is associated with mechanical rotations of polarizer/analyzer and relatively complex optical designs. Here, we present a novel form of polarization-sensitive microscopy capable of birefringence imaging of transparent objects without an optical lens and any moving parts. Our method exploits an optical mask-modulated polarization image sensor and single-input-state LED illumination design to obtain complex and birefringence images of the object via ptychographic phase retrieval. Using a camera with a pixel resolution of 3.45 µm, the method achieves birefringence imaging with a half-pitch resolution of 2.46 µm over a 59.74 mm2 field-of-view, which corresponds to a space-bandwidth product of 9.9 megapixels. We demonstrate the high-resolution, large-area birefringence imaging capability of our method by presenting the birefringence images of various anisotropic objects, including a birefringent resolution target, liquid crystal polymer depolarizer, monosodium urate crystal, and excised mouse eye and heart tissues. © 2022, CC BY.

关键词： Birefringence

来源：评论

学校读者我要写书评

暂无评论

An Approximated Domination Relationship based on Binary Classifiers for Evolutionary Multiobjective Optimization

An Approximated Domination Relationship based on Binary Clas...

引用

Congress on Evolutionary Computation

作者： Hao Hao Aimin Zhou Hu Zhang Shanghai Key Laboratory of Multidimensional Information Processing School of Computer Science and Technology East China Normal University Shanghai China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing Electro-mechanical Engineering Institute Beijing China

Preselection is an important strategy to improve evolutionary algorithms’ performance by filtering out unpromising solutions before fitness evaluations. This paper introduces a pre-selection strategy based on an approximated Pareto domination relationship for multiobjective evolutionary optimization. For each objective, a binary relation between each pair of solutions is constructed based on the current population, and a binary classifier is built based on the binary relation pairs. In this way, an approximated Pareto domination relationship can be defined. When new trial solutions are generated, the approximated Pareto domination is used to select promising solutions, which shall be evaluated by the real objective functions. The new preselection is integrated into two algorithms. The experimental results on two benchmark test suites suggest that the algorithms with preselection outperform their original ones.

关键词： Filtering Computational modeling Sociology Training data Evolutionary computation Approximation algorithms Linear programming

来源：评论

学校读者我要写书评

暂无评论

The Interplay between Artificial Intelligence and Fog Radio Access Networks

引用

China Communications 2020年第8期17卷 1-13页

作者： Wenchao Xia Xinruo Zhang Gan Zheng Jun Zhang Shi Jin Hongbo Zhu Jiangsu Key Laboratory of Wireless Communications Nanjing University of Posts and TelecommunicationsNanjing 210003China Engineering Research Center of Health Service System Based on Ubiquitous Wireless Networks Ministry of EducationNanjing University of Posts and TelecommunicationsNanjing 210003China Department of Computer Science and Electronic Engineering University of EssexColchester CO43SQU.K. Wolfson School of Mechanical Electrical and Manufacturing Engineering Loughborough UniversityLeicestershire LE113TUU.K. National Mobile Communications Research Laboratory Southeast UniversityNanjing 210096China

The interplay between artificial intelligence(AI) and fog radio access networks(F-RANs) is investigated in this work from two perspectives: how F-RANs enable hierarchical AI to be deployed in wireless networks and how AI makes F-RANs smarter to better serve mobile devices. Due to the heterogeneity of processing capability, the cloud, fog, and device layers in F-RANs provide hierarchical intelligence via centralized, distributed, and federated learning. In addition, cross-layer learning is also introduced to further reduce the demand for the memory size of the mobile devices. On the other hand, AI provides F-RANs with technologies and methods to deal with massive data and make smarter decisions. Specifically, machine learning tools such as deep neural networks are introduced for data processing, while reinforcement learning(RL) algorithms are adopted for network optimization and decisions. Then, two examples of AI-based applications in F-RANs, i.e., health monitoring and intelligent transportation systems, are presented, followed by a case study of an RL-based caching application in the presence of spatio-temporal unknown content popularity to showcase the potential of applying AI to F-RANs.

关键词： artificial intelligence(AI) fog radio access network(F-RAN) machine learning network optimization

来源：评论

学校读者我要写书评

暂无评论

Weak chatter detection in milling based on sparse dictionary

引用

Procedia Manufacturing 2020年 48卷 839-843页

作者： Chenxi Wang Xingwu Zhang Xuefeng Chen Ruqiang Yan Peng Wang State Key Laboratory for Manufacturing System Engineering Xi’an Jiaotong University Xianning West Road 28 Xi’an 710049 China Department of Electrical and Computer Engineering: Department of Mechanical Engineering University of Kentucky Northern Kentucky 40506 US

As one of the most unfavorable factors in milling, chatter will lead to poor surface quality, low production efficiency and tool life reduction. Chatter detection, especially weak chatter detection, is an effective way to ensure stable cutting. In this work, the milling dynamic responses based weak chatter detection method is put forward using sparse dictionary. Based on the milling dynamic equations, chatter frequencies are calculated and verified, which are the bases for chatter detection. With the calculated chatter frequencies, the sparse dictionary matrix can be constructed and the orthogonal matching pursuit (OMP) algorithm is adopted for chatter frequencies reconstruction. The proposed method can extract weak chatter frequencies accurately. Experimental results shows that the proposed method can be successful in weak chatter identification.

关键词： Weak chatter identification Milling Sparse dictionary OMP algorithm

来源：评论

学校读者我要写书评

暂无评论

Enhancing wide-band trajectory tracking and finite-time control of Dielectric Elastomer Actuators using Nonsingular terminal sliding mode control scheme

引用

Mechatronics 2025年 109卷

作者： Kassim, Shakiru Olajide Zou, Jiang Behnamgol, Vahid Vaziri, Vahid Aphale, Sumeet S. Group School of Engineering University of Aberdeen ScotlandAB24 3UE United Kingdom The state Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong University Shanghai China The Robotics Institute School of Mechanical Engineering Shanghai Jiao Tong University Shanghai China Renewable Energy Research Centre Damavand Branch Islamic Azad University Tehran Iran Department of Electrical and Computer Engineering The Federal Polytechnic Damaturu Yobe State 620221 Nigeria

The utilization of Dielectric Elastomer Actuators (DEAs) in soft robotics is becoming increasingly popular due to their distinctive properties. However, controlling these actuators is challenging due to their nonlinear nature. This study addresses precise control of DEAs while minimizing nonlinear effects over a wide frequency range using a Sliding Mode Control (SMC) scheme. Traditional SMC approaches face two main issues: they do not ensure finite-time convergence during the sliding phase and compromise tracking accuracy due to approximations used to reduce chattering. This work presents a non-singular terminal sliding mode control combined with an enhanced boundary layer switching function to improve precision and finite-time stability. Using stability analysis, extensive MATLAB/SIMULINK simulations, and experimental validation on a conical DEA across diverse reference trajectories and its resilience against uncertainties, the proposed scheme demonstrates superior performance in trajectory tracking compared to PID-based and conventional SMC schemes. The results highlight the scheme's effectiveness in high-frequency trajectory tracking and its robustness to possible uncertainties and disturbances, offering a robust theoretical framework for dielectric elastomer actuator control and a promising approach for advancing soft robotic technologies. © 2025 The Authors

关键词： Intelligent robots

来源：评论

学校读者我要写书评

暂无评论

Demonstration Guided Actor-Critic Deep Reinforcement Learning for Fast Teaching of Robots in Dynamic Environments

引用

IFAC-PapersOnLine 2020年第5期53卷 271-278页

作者： Liang Gong Te Sun Xudong Li Ke Lin Natalia Díaz-Rodríguez David Filliat Zhengfeng Zhang Junping Zhang School of Mechanical Engineering Shanghai Jiao Tong University Shanghai China Computer Science and System Engineering Department and Inria Flowers Team ENSTA Institut Polytechnique Paris Palaiseau France Shanghai Key Laboratory of Intelligent Information Processing and School of Computer Science Fudan University Shanghai China

Using direct reinforcement learning (RL) to accomplish a task can be very inefficient, especially in robotic configurations where interactions with the environment are lengthy and costly. Instead, learning from expert demonstration (LfD) is an alternative approach to gain better performance in an RL setting, which also greatly improves sample efficiency. We propose a novel demonstration learning framework for actor-critic based algorithms. Firstly, we put forward an environment pre-training paradigm to initialize the model parameters without interacting with the target environment, which effectively avoids the cold start problem in deep RL scenarios. Secondly, we design a general-purpose LfD framework for most of the mainstream actor-critic RL algorithms that include a policy network and a value function like PPO, SAC, TRPO, A3C. Thirdly, we build a dedicated model training platform to perform the human-robot interaction and numerical experimentation. We evaluate the method in six Mujoco simulated locomotion environments and our robot control simulation platform. Results show that several epochs of pre-training can improve the agent’s performance over the early stage of training. Also, the final converged performance of the RL algorithm is also boosted by external demonstration. In general the sample efficiency is improved by 30% with the proposed method. Our demonstration pipeline makes full use of the exploration property of the RL algorithm, which is feasible for fast teaching robots in dynamic environments.

关键词： deep learning deep reinforcement learning learning from demonstration (LfD) actor-critic framework robotics

来源：评论

学校读者我要写书评

暂无评论

Unified Selective Harmonic Elimination Control for Four-Level Hybrid-Clamped Inverters

Unified Selective Harmonic Elimination Control for Four-Leve...

引用

作者： Wu, Mingzhe Wang, Kui Yang, Kehu Konstantinou, Georgios Li, Yun Wei Li, Yongdong Department of Electrical and Computer Engineering University of Alberta EdmontonABT6G 1H9 Canada Department of Electrical Engineering State Key Laboratory of Power System Tsinghua University Beijing100084 China School of Mechanical Electronic and Information Engineering China University of Mining and Technology Beijing100083 China School of Electrical Engineering and Telecommunications University of New South Wales SydneyNSW2052 Australia

A unified selective harmonic elimination (SHE) control for four-level hybrid-clamped (4L-HC) inverters is presented in this article. With this unified strategy, all four-level switching patterns and the corresponding switching angles can be obtained simultaneously by solving one group of unified four-level SHE equations. Therefore, the optimal switching pattern of each modulation index with the designed optimization goal can be evaluated, and the best overall output performance is achieved. In order to ensure the proper operation of the 4L-HC inverter, the voltages across the three-phase flying capacitors and three dc-link capacitors must be controlled and balanced at one-third of the dc-link voltage. The proposed voltage control method is based on redundant switching states and introducing a slight variation to the precalculated switching angles, which extends or limits the conduction time of capacitors depending on voltage deviation and current direction. The effect of switching angle variations on the harmonic performance is also studied. Simulation and experimental results are presented to confirm the validity of the unified model and the proposed voltage-balancing strategy. Comparisons with phase-shifted pulsewidth modulation (PWM) are also presented to demonstrate that the implemented SHE-PWM could significantly reduce the switching frequency while keeping the capacitor voltages well balanced within the expected band limits. © 1986-2012 IEEE.

关键词： Harmonic analysis

来源：评论

学校读者我要写书评

暂无评论

Balancing Pragmatism and Values in Business Decision Making

Balancing Pragmatism and Values in Business Decision Making

引用

IEEE Conference on Aerospace

作者： Rahul Dixit Harpreet Singh Ratna Babu Chinnam Industrial & System Engineering College of Engineering Wayne State University Detroit MI Electrical & Computer Engineering College of Engineering Wayne State University Detroit MI Industrial & Mechanical Engineering College of Engineering Wayne State University Detroit MI

ISBN: (数字)9781728127347

ISBN: (纸本)9781728127354

Decision making is fundamental to every business. The questions that are key to any business are `what to do' and `how to accomplish purpose'. In recent years, in the defense & aerospace monopsony, there has been a sea-change reversal, where now, the commercial industry is leading technological innovation, and is executing agile-product development - enabling faster time to market, with more robust products. This paper uses a mixed-methods research approach to compare and contrast portfolio management (PM) and new product development (NPD) practices in the commercial industry with those practiced in the defense industry. There are many unique aspects to the defense industry that differentiate it from many other industries. Primary amongst these is secrecy - that is, much work in the industry is classified, and/or deliberately obfuscated. Thus there is scant published research on defense industry PM practices and NPD decision making processes. To address this, the researchers analyzed published studies on commercial industry to extract the PM and NPD decision-making factors used in large-sized commercial technology companies. And, then used peer-interviews and broad-area surveys to examine the applicability of these factors in the defense industry's PM and NPD practices. The initial conclusions are that PM and NPD decision-making processes, in both the commercial and in the defense industry share a common frame work. The factors include, market conditions, company's internal processes, and individual organization's assessment of the value-proposition. Often most decisions are made based on a combination of strategic intent and opportunistic reactions. A surprising finding is the unique role that middle managers play in the defense industry in shaping and in the outcome of PM and NPD decisions.

关键词：

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：