检索结果-内蒙古大学图书馆

arXiv 2019年

作者： Dholakiya, Dhaivat Bhattacharya, Shounak Gunalan, Ajay Singla, Abhik Bhatnagar, Shalabh Amrutur, Bharadwaj Ghosal, Ashitava Kolathaya, Shishir Robert Bosch Centre for Cyber-Physical Systems IISc Bangalore India Faculty of Mechanical Engineering Faculty of Electrical & Computer Engineering Computer Science & Automation INSPIRE Faculty Fellow Robert Bosch Center for Cyber Physical Systems IISc Bengaluru India

In this paper, we present a complete description of the hardware design and control architecture of our custom built quadruped robot, called the Stoch. Our goal is to realize a robust, modular, and a reliable quadrupedal platform, using which various locomotion behaviors are explored. This platform enables us to explore different research problems in legged locomotion, which use both traditional and learning based techniques. We discuss the merits and limitations of the platform in terms of exploitation of available behaviours, fast rapid prototyping, reproduction and repair. Towards the end, we will demonstrate trotting, bounding behaviors, and preliminary results in turning. In addition, we will also show various gait transitions i.e., trot-to-turn and trot-to-bound behaviors. Copyright © 2019, The Authors. All rights reserved.

关键词： Machine design

来源：评论

学校读者我要写书评

暂无评论

Geometric algebras for uniform colour spaces

Geometric algebras for uniform colour spaces

引用

作者： Hrdina, Jaroslav Vašík, Petr Matoušek, Radomil Návrat, Aleš Institute of Mathematics Institute of Automation and Computer Science Faculty of Mechanical Engineering Brno University of Technology Brno Czech Republic

We show the advantages and disadvantages of specific geometric algebras and propose practical implementations in colorimetry. The colour space CIEL∗a∗b∗ is endowed by an Euclidean metric;the neighbourhood of a point is therefore a sphere, and the choice of a conformal geometric algebra is thus obvious. For the colour space CMC(l:c), the neighbourhood is an ellipsoid and thus we choose the quadric geometric algebra to linearize the metric by means of the scalar product. We discuss the distance problems in colour spaces with these particular geometric algebras applied. Copyright © 2017 John Wiley & Sons, Ltd.

关键词： Colorimetry

来源：评论

学校读者我要写书评

暂无评论

Rectenna Design Optimized by Binary Genetic Algorithm for Hybrid Energy Harvesting Applications Across 5G Sub-6 GHz Band

引用

Radio science 2025年第6期60卷

作者： Ahmed Rifaat Hamad Ammar Al-Adhami Nouf Abd Elmunim Mohammad Alibakhshikenari Bal Virdee Hasan Salman Hamad Renu Jayanthi Dion Mariyanayagam Innocent Lubangakene Sunil Kumar Salahuddin Khan Yi Tang Lida Kouhalvandi Taha A. Elwi Mohsin Ali Ahmed Nasr Rashid Electric Department Institution of Technology Middle Technical University Baghdad Iraq Electronic Computer Center Al-Karkh University of Science Baghdad Iraq Department of Electrical Engineering College of Engineering Princess Nourah Bint Abdulrahman University Riyadh Saudi Arabia Electronics Engineering Department University of Rome “Tor Vergata” Rome Italy Center for Communications Technology London Metropolitan University London UK Technical College of Engineering Al-Bayan University Baghdad Iraq Sustainable Energy Technologies Center College of Engineering King Saud University Riyadh Saudi Arabia School of Electromechanical and Automotive Engineering Yantai University Yantai China Department of Electrical and Electronics Engineering Dogus University Istanbul Turkey Department of Automation and Artificial Intelligence Engineering College of Information Engineering at Al-Nahrain University Baghdad Iraq International Applied and Theoretical Research Center (IATRC) Baghdad Iraq Electrical Engineering Department College of Engineering Jouf University Sakaka Saudi Arabia Department of Electrical Engineering Faculty of Engineering Al-Azhar University Nasr City Egypt

This paper presents a novel rectenna design for hybrid energy harvesting, optimized using a binary genetic algorithm (BGA) with binary coding to improve geometry, impedance matching, and radiation efficiency. The fabricated rectenna achieves reflection coefficients below −40 dB at 2.45 and 5.8 GHz, demonstrating excellent impedance matching. A commercial rectifier (Powercast P21XXCSR-EVB), employing a voltage doubler topology and Schottky diodes (Skyworks SMS7630 and Avago HSMS 285B), is integrated for RF-to-DC conversion. Peak efficiencies of 90% at 2.45 GHz and 52% at 5.8 GHz are recorded at 11 dBm input power, while efficiencies above 80% and 50%, respectively, are maintained at 0 dBm. The rectifier also exhibits wide impedance bandwidths, with reflection coefficients of −23 dB and −18 dB at the respective frequencies. Outdoor testing yields DC output voltages of 92.6 mV (2.45 GHz) and 64 mV (5.8 GHz). The system's efficiency and adaptability under variable conditions make it ideal for low-power applications such as wireless sensor networks, Internet of Things devices, and remote monitoring. Its robust performance across environments highlights its potential for autonomous energy harvesting in 5G and sub-6 GHz networks. Artificial intelligence is employed in rectenna design for hybrid energy harvesting A dual-band rectifier (2.45 and 5.8 GHz) with voltage doubler topology and Schottky diodes is developed Applications include wireless sensor networks, Internet of Things, smart city infrastructures, wearable technology, biomedical implants, and emergency power systems

关键词： rectenna design binary coding energy harvesting binary genetic algorithm (BGA) artificial intelligence (AI) 5G and sub-6 GHz

来源：评论

学校读者我要写书评

暂无评论

Modal regression based structured low-rank matrix recovery for multi-view learning

arXiv

引用

arXiv 2020年

作者： Xu, Jiamiao Wang, Fangzhao Peng, Qinmu You, Xinge Wang, Shuo Jing, Xiao-Yuan Philip Chen, C.L. School of Electronic Information and Communications Huazhong University of Science and Technology Wuhan430074 China Shenzhen Huazhong University of Science and Technology Research Institute China State Key Laboratory of Software Engineering School of Computer Wuhan University China Department of Computer and Information Science Faculty of Science and Technology University of Macau 99999 China Dalian Maritime University Dalian116026 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100080 China

Low-rank Multi-view Subspace Learning (LMvSL) has shown great potential in cross-view classification in recent years. Despite their empirical success, existing LMvSL based methods are incapable of well handling view discrepancy and discriminancy simultaneously, which thus leads to the performance degradation when there is a large discrepancy among multi-view data. To circumvent this drawback, motivated by the block-diagonal representation learning, we propose Structured Low-rank Matrix Recovery (SLMR), a unique method of effectively removing view discrepancy and improving discriminancy through the recovery of structured low-rank matrix. Furthermore, recent low-rank modeling provides a satisfactory solution to address data contaminated by predefined assumptions of noise distribution, such as Gaussian or Laplacian distribution. However, these models are not practical since complicated noise in practice may violate those assumptions and the distribution is generally unknown in advance. To alleviate such limitation, modal regression is elegantly incorporated into the framework of SLMR (term it MR-SLMR). Different from previous LMvSL based methods, our MR-SLMR can handle any zero-mode noise variable that contains a wide range of noise, such as Gaussian noise, random noise and outliers. The alternating direction method of multipliers (ADMM) framework and half-quadratic theory are used to efficiently optimize MR-SLMR. Experimental results on four public databases demonstrate the superiority of MR-SLMR and its robustness to complicated noise. Copyright © 2020, The Authors. All rights reserved.

关键词： Gaussian noise (electronic)

来源：评论

学校读者我要写书评

暂无评论

Bebop 2 Quadrotor as a Platform for Research and Education in Robotics and Control engineering

Bebop 2 Quadrotor as a Platform for Research and Education i...

引用

International Conference on Unmanned Aircraft Systems (ICUAS)

作者： Wojciech Giernacki Piotr Kozierski Jacek Michalski Marek Retinger Rafal Madonski Pascual Campoy Institute of Robotics and Machine Intelligence Faculty of Control Robotics and Electrical Engineering of Poznan University of Technology Poznań Poland Institute of Computing Science (Faculty of Computing and Telecommunications) and with the Institute of Robotics and Machine Intelligence (Faculty of Control Robotics and Electrical Engineering) Poznan University of Technology Poznań Poland International Energy College Energy Electricity Research Center Jinan University Zhuhai China Computer Vision and Aerial Robotics (CVAR) Centre for Automation and Robotics Technical University of Madrid (UPM) Madrid Spain

ISBN: (数字)9781728142784

ISBN: (纸本)9781728142791

In conducting research and teaching in fields related to unmanned aerial vehicles (UAVs), it is particularly important to select a universal, safe, open research platform and tools for rapid prototyping. Ready-to-use, low-cost micro-class UAVs such as Bebop 2 are successfully used in that regard. This article presents how to use the potential of this flying robot with Robot Operating System (ROS). The most important software solutions for the developed experimental testbed FlyBebop are characterized here. Their capabilities in research and education are exemplified using three distinct cases: 1) research results on the method of optimal, in-flight, iterative self-tuning of UAV position controller parameters (based only on current measurements), 2) the use of the reinforcement learning method in the autonomous landing of a single drone on a moving vehicle, 3) planning the movement of UAVs for autonomous video recording along the planned path in the arrangement: "cameraman drone" and "lighting technician drones".

关键词： Drones Robots Education Cameras Sensors Tools

来源：评论

学校读者我要写书评

暂无评论

A Novel Robust Attitude Control for Quadrotor Aircraft Subject to Actuator Faults and Wind Gusts

引用

IEEE/CAA Journal of Automatica Sinica 2018年第1期5卷 292-300页

作者： Yuying Guo Bin Jiang Youmin Zhang School of Information Engineering Southwest University of Science and Technology Mianyang 621010 China College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing 210016 China Department of Mechanical Industrial and Aerospace Engineering and the Concordia Institute of Aerospace Design and Innovation Faculty of Engineering and Computer Science Concordia University Montreal Quebec H3G 1M8 Canada IEEE

A novel robust fault tolerant controller is developed for the problem of attitude control of a quadrotor aircraft in the presence of actuator faults and wind gusts in this ***, a dynamical system of the quadrotor taking into account aerodynamical effects induced by lateral wind and actuator faults is considered using the Newton-Euler approach. Then,based on active disturbance rejection control(ADRC), the fault tolerant controller is proposed to recover faulty system and reject perturbations. The developed controller takes wind gusts,actuator faults and measurement noises as total perturbations which are estimated by improved extended state observer(ESO)and compensated by nonlinear feedback control law. So, the developed robust fault tolerant controller can successfully accomplish the tracking of the desired output values. Finally, some simulation studies are given to illustrate the effectiveness of fault recovery of the proposed scheme and also its ability to attenuate external disturbances that are introduced from environmental causes such as wind gusts and measurement noises.

关键词： Active disturbance rejection control(ADRC) attitude control actuator faults disturbances rejection quadrotor aircraft

来源：评论

学校读者我要写书评

暂无评论

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting

arXiv

引用

arXiv 2023年

作者： Graham, Simon Vu, Quoc Dang Jahanifar, Mostafa Weigert, Martin Schmidt, Uwe Zhang, Wenhua Zhang, Jun Yang, Sen Xiang, Jinxi Wang, Xiyue Rumberger, Josef Lorenz Baumann, Elias Hirsch, Peter Liu, Lihao Hong, Chenyang Aviles-Rivero, Angelica I. Jain, Ayushi Ahn, Heeyoung Hong, Yiyu Azzuni, Hussam Xu, Min Yaqub, Mohammad Blache, Marie-Claire Piégu, Benoît Vernay, Bertrand Scherr, Tim Böhland, Moritz Löffler, Katharina Li, Jiachen Ying, Weiqin Wang, Chixin Snead, David Raza, Shan E. Ahmed Minhas, Fayyaz Rajpoot, Nasir M. Tissue Image Analytics Centre University of Warwick Coventry United Kingdom Histofy Ltd Birmingham United Kingdom Institute of Bioengineering School of Life Sciences Epfl Lausanne Switzerland Dresden Germany The Department of Computer Science The University of Hong Kong Hong Kong Tencent Ai Lab Shenzhen China College of Biomedical Engineering Sichuan University Chengdu China Department of Precision Instruments Tsinghua University Beijing China College of Computer Science Sichuan University Chengdu China Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association Berlin Germany Humboldt University of Berlin Faculty of Mathematics and Natural Sciences Berlin Germany Charité University Medicine Berlin Germany University of Bern Bern Switzerland Department of Applied Mathematics and Theoretical Physics University of Cambridge United Kingdom Department of Computer Science and Engineering Chinese University of Hong Kong Hong Kong Softsensor.ai BridgewaterNJ United States PRR.ai TX United States Department of R&d Center Arontier Co. Ltd Seoul Korea Republic of Computer Vision Department Mohamed Bin Zayed University of Artificial Intelligence Abu Dhabi United Arab Emirates Cnrs Ifce Inrae Université de Tours Prc Nouzilly3780 France Institut de Génétique et de Biologie Moléculaire et Cellulaire Illkirch France Centre National de la Recherche Scientifique UMR7104 Illkirch France Institut National de la Santé et de la Recherche Médicale Inserm U1258 Illkirch France Université de Strasbourg Strasbourg France Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Eggenstein-Leopoldshafen Germany School of Software Engineering South China University of Technology Guangzhou China Department of Pathology University Hospitals Coventry Warwickshire Nhs Trust Coventry United Kingdom Division of Biomedical Sciences Warwick Medical School University of Warwick Coventry United Kingdom

Nuclear detection, segmentation and morphometric profiling are essential in helping us further understand the relationship between histology and patient outcome. To drive innovation in this area, we setup a community-wide challenge using the largest available dataset of its kind to assess nuclear segmentation and cellular composition. Our challenge, named CoNIC, stimulated the development of reproducible algorithms for cellular recognition with real-time result inspection on public leaderboards. We conducted an extensive post-challenge analysis based on the top-performing models using 1,658 whole-slide images of colon tissue. With around 700 million detected nuclei per model, associated features were used for dysplasia grading and survival analysis, where we demonstrated that the challenge's improvement over the previous state-of-the-art led to significant boosts in downstream performance. Our findings also suggest that eosinophils and neutrophils play an important role in the tumour microevironment. We release challenge models and WSI-level results to foster the development of further methods for biomarker discovery. © 2023, CC BY-NC-SA.

关键词： Grading

来源：评论

学校读者我要写书评

暂无评论

Measurement-level fusion for OTHR network using message passing

arXiv

引用

arXiv 2020年

作者： Lan, Hua Wang, Zengfu Bai, Xianglong Pan, Quan Lu, Kun School of Automation Northwestern Polytechnical University Key Laboratory of Information Fusion Technology Ministry of Education Xi’anShaanxi710072 China Nanjing Reasearch Insitute of Electronics Technology Nanjing Jiangsu210039 China Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Delft2826 CD Netherlands

Tracking an unknown number of targets based on multipath measurements provided by an over-the-horizon radar (OTHR) network with a statistical ionospheric model is complicated, which requires solving four subproblems: target detection, target tracking, multipath data association and ionospheric height identification. A joint solution is desired since the four subproblems are highly correlated, but suffering from the intractable inference problem of high-dimensional latent variables. In this paper, a unified message passing approach, combining belief propagation (BP) and mean-field (MF) approximation, is developed for simplifying the intractable inference. Based upon the factor graph corresponding to a factorization of the joint probability distribution function (PDF) of the latent variables and a choice for a separation of this factorization into BP region and MF region, the posterior PDFs of continuous latent variables including target kinematic state, target visibility state, and ionospheric height, are approximated by MF due to its simple MP update rules for conjugate-exponential models. With regard to discrete multipath data association which contains one-to-one frame (hard) constraints, its PDF is approximated by loopy BP. Finally, the approximated posterior PDFs are updated iteratively in a closed-loop manner, which is effective for dealing with the coupling issue among target detection, target tracking, multipath data association, and ionospheric height identification. Meanwhile, the proposed approach has the measurement-level fusion architecture due to the direct processing of the raw multipath measurements from an OTHR network, which is benefit to improving target tracking performance. Its performance is demonstrated on a simulated OTHR network multitarget tracking scenario. Copyright © 2020, The Authors. All rights reserved.

关键词： Target tracking

来源：评论

学校读者我要写书评

暂无评论

Implementation of the Concept of “Smart Laboratory” in the Framework of Digitization of the University

Implementation of the Concept of “Smart Laboratory” in the...

引用

International Conference on Control Systems, Mathematical Modelling, automation and Energy Efficiency (SUMMA)

作者： Inna Muzyleva Denis Shishlin Liubov Yazykova Pavel Dobrynin Sergey Ambrosimov Automation and computer science faculty Lipetsk State Technical University Lipetsk Russian Institute of Mechanical engineering Lipetsk State Technical University Lipetsk Russian

The structure of the “smart laboratory” as a complex of human interaction, laboratory equipment and information-measuring system using the Internet of things and cloud computing is considered.

ISBN: (纸本)9781728149127

The structure of the “smart laboratory” as a complex of human interaction, laboratory equipment and information-measuring system using the Internet of things and cloud computing is considered.

关键词： Temperature measurement Temperature sensors Service robots Robot kinematics Microcontrollers

来源：评论

学校读者我要写书评

暂无评论

Digitalization of the University - What is It?

Digitalization of the University - What is It?

引用

International Conference on Control Systems, Mathematical Modelling, automation and Energy Efficiency (SUMMA)

作者： Inna Muzyleva Liubov Yazykova Viktor Penkov Automation and computer science faculty Lipetsk State Technical University Lipetsk Russian Institute of Mechanical Engineering Lipetsk State Technical University Lipetsk Russian

ISBN: (纸本)9781728149127

The structure of a modern university as a social system is considered. The possibility of applying the technologies of the industrial revolution 4.0 for digitalization of the university is evaluated. In particular, the possibilities of cloud services for the digitalization of the educational process are considered. In addition, the application of big data technologies for digitalization and the organizational structure of the university, and project activities is considered. The possibilities of the Internet of things are used to organize “smart laboratories”.

关键词： Cloud computing Big Data Education Laboratories Internet of Things automation Artificial intelligence

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：