检索结果-内蒙古大学图书馆

作者： Málek, Martin Šomplák, Radovan Popela, Pavel Kůdela, Jakub Institute of Mathematics Brno University of Technology Faculty of Mechanical Engineering Czech Republic Institute of Process Engineering Brno University of Technology Faculty of Mechanical Engineering Czech Republic Institute of Automation and Computer Science Brno University of Technology Faculty of Mechanical Engineering Czech Republic

In this paper we describe a real-world large-scale stochastic integer waste-management decision making problem. The problem consists of choosing the optimal locations and capacities of new incineration plants, that will be used for the disposal of waste. To solve this problem, we implement a modified version of the progressive hedging algorithm. The presented case study with real-world data concerns the situation in the Czech Republic. © 2018, Brno University of Technology. All rights reserved.

关键词： Stochastic programming

来源：评论

学校读者我要写书评

暂无评论

A survey on set similarity search and join

引用

International Journal of Performability engineering 2018年第2期14卷 245-258页

作者： Jia, Lianyin Zhang, Lulu Yu, Guoxian You, Jinguo Ding, Jiaman Li, Mengjuan Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming650500 China College of Computer and Information Science Southwest University Chongqing400715 China Library Yunnan Normal University Kunming650500 China

Set similarity search and join operations have a wide range of applications, including e-commerce, information retrieval, bioinformatics, and so on. Although extensive techniques have been suggested for set similarity search and join, there is literature on systematically categorizing these techniques and comprehensively comparing them. To bridge this gap, this paper provides a comprehensive survey of set similarity search and join. The survey starts from the basic definitions, framework, ordering and similarity functions of set similarity search and join. Next, it discusses the main filtering techniques used in the state-of-the-art algorithms, and analyses the pros and cons of these algorithms in detail. For set similarity join algorithms, we divide them into 2 main categories based on the key underlying techniques they use: Prefix filtering based algorithms and partition based algorithms. Prefix filtering is the most dominant technique, so algorithms based on prefix filtering and their recent variants are analyzed thoroughly. Partition is also a promising technique as it can exploit comparisons between multiple partitions. Furthermore, some efforts on MapReduce based set similarity join algorithms are also discussed briefly. In the end, the open challenges and questions are presented for future pursue. © 2018 Totem Publisher, Inc. All rights reserved.

关键词： Surveys

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

Analysis and modeling of 6DOF docking without compliance using nonlinear contact dynamics

Analysis and modeling of 6DOF docking without compliance usi...

引用

AIAA Space and Astronautics Forum and Exposition, 2018

作者： Bondoky, Karim Janschek, Klaus Rathke, Andreas Schwarz, Sebastian Institute of Automation Faculty of Electrical and Computer Engineering Technical University of Dresden Dresden01062 Germany Automation Engineering Faculty of Electrical and Computer Engineering Technical University of Dresden Dresden01062 Germany Department for Radars and Microwave Payloads Airbus Defence and Space GmbH Friedrichshafen88039 Germany Mechanisms Department Airbus Defence and Space GmbH Friedrichshafen88039 Germany

ISBN: (数字)9781624105753

ISBN: (纸本)9781624105753

The interest to research docking mechanisms has been increasing in the recent years, due to various reasons, e.g., On-Orbit Servicing (OOS), autonomous docking. OOS is concerned with extension of the life-time of the already flying in-orbit satellites, as well as the de-orbiting of the dead satellites, to decrease space debris. In this paper, we study a docking mechanism of a probe-drogue (cone-shaped), without any compliances between two small ( © 2018, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： End effectors

来源：评论

学校读者我要写书评

暂无评论

Using artificial intelligence to determine the type of rotary machine fault

Using artificial intelligence to determine the type of rotar...

引用

作者： Zuth, Daniel Marada, Tomáš Brno University of Technology Faculty of Mechanical Engineering Institute of Automation and Computer Science Technická 2896/2 Brno616 69 Czech Republic

The article deals with the possibility of using machine learning in vibrodiagnostics to determine the type of fault of rotating machine. The data source is real measured data from the vibrodiagnostic model. This model allows simulation of some types of faults. The data is then processed and reduced for the use of the Matlab Classification learner app, which creates a model for recognizing faults. The model is ultimately tested on new samples of data. The aim of the article is to verify the ability to recognize similarly rotary machine faults from real measurements in the time domain. © 2018, Brno University of Technology. All rights reserved.

关键词： Industry 4.0

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

OTHR multitarget tracking with a GMRF model of ionospheric parameters

arXiv

引用

arXiv 2020年

作者： Guo, Zhen Wang, Zengfu Lan, Hua Pan, Quan Lu, Kun School of Automation Northwestern Polytechnical University Xi'an Shaanxi710072 China Key Laboratory of Information Fusion Technology Ministry of Education Xi'an Shaanxi710072 China Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology DelftCD2826 Netherlands Nanjing Research Institute of Electronics Technology Nanjing Jiangsu210039 China

The ionosphere is the propagation medium for radio waves transmitted by an over-The-horizon radar (OTHR). Ionospheric parameters, typically, virtual ionospheric heights (VIHs), are required to perform coordinate registration for OTHR multitarget tracking and localization. The inaccuracy of ionospheric parameters has a significant deleterious effect on the target localization of OTHR. Therefore, to improve the localization accuracy of OTHR, it is important to develop accurate models and estimation methods of ionospheric parameters and the corresponding target tracking algorithms. In this paper, we consider the variation of the ionosphere with location and the spatial correlation of the ionosphere in OTHR target tracking. We use a Gaussian Markov random field (GMRF) to model the VIHs, providing a more accurate representation of the VIHs for OTHR target tracking. Based on expectation-conditional maximization and GMRF modeling of the VIHs, we propose a novel joint optimization solution, called ECM-GMRF, to perform target state estimation, multipath data association and VIHs estimation simultaneously. In ECM-GMRF, the measurements from both ionosondes and OTHR are exploited to estimate the VIHs, leading to a better estimation of the VIHs which improves the accuracy of data association and target state estimation, and vice versa. The simulation indicates the effectiveness of the proposed algorithm. 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

PID2018 Benchmark Challenge: learning feedforward control

引用

IFAC-PapersOnLine 2018年第4期51卷 663-668页

作者： Zhao, Yang Dehghan, Sina Ates, Abdullah Yuan, Jie Zhou, Fengyu Li, Yan Chen, YangQuan School of Control Science and Engineering Center for Robotics Shandong University JinanShandong250061 China University of California Merced MercedCA95340 United States School of Automation Southeast University Nanjing210096 China Engineering Faculty Computer Engineering Department Inonu University Malatya44280 Turkey

The design and application of learning feedforward controllers (LFFC) for the one-staged refrigeration cycle model described in the PID2018 Benchmark Challenge is presented, and its effectiveness is evaluated. The control system consists of two components: 1) a preset PID component and 2) a learning feedforward component which is a function approximator that is adapted on the basis of the feedback signal. A B-spline network based LFFC and a low-pass filter based LFFC are designed to track the desired outlet temperature of evaporator secondary flux and the superheating degree of refrigerant at evaporator outlet. Encouraging simulation results are included. Qualitative and quantitative comparison results evaluations show that, with little effort, a high-performance control system can be obtained with this approach. Our initial simple attempt of low-pass filter based LFFC and B-spline network based LFFC give J=0.4902 and J=0.6536 relative to the decentralized PID controller, respectively. Besides, the initial attempt of a combination controller of our optimized PI controller and low-pass filter LFFC gives J=0.6947 relative to the multi-variable PID controller. © 2018

关键词： Controllers Benchmarking Electric control equipment Evaporators Feedforward control Interpolation Learning systems Low pass filters Proportional control systems Refrigeration Three term control systems Combination controllers Conditional integrations Decentralized PID controller Feed forward controllers High performance control systems PID 2018 Benchmark Challenge Quantitative comparison Vapour compression refrigeration systems

来源：评论

学校读者我要写书评

暂无评论

Multi-person remote heart-rate measurement from human faces - a CNN based approach

Multi-person remote heart-rate measurement from human faces ...

引用

IEEE International Conference on Consumer Electronics - Berlin (ICCE-Berlin)

作者： Thomas Pursche Marcel Walz Roland Clauß Robert Roth Bernd Tibken Reinhard Möller School of Electrical Information and Media Engineering Automatic Control University of Wuppertal Wuppertal Germany Faculty of Electrical Information and Media Engineering Automatic Control University of Wuppertal Wuppertal Germany Faculty of Electrical Information and Media Engineering Automation/Computer Science University of Wuppertal Wuppertal Germany

The conventional heart rate measurement techniques using electrocardiogram, wrist belts and so on, are attached with some disadvantages like discomfort, irritation of the skin and even more. From this starting point various video based heart rate measurement techniques were developed in the last years. All of these techniques use video data of the human faces to extract information to estimate the heart rate of the person in front of the camera. Most of them work with the detection of minimal changes in the color spectrum of the recorded video data. With these extracted information and multiple concluding steps, they are able to estimate the heart rate of the person sitting in front of the camera. All of these approaches have some big disadvantages, they are only able to measure the heart rate of one person - and in a small number of cases up to three persons. So the main objective of this work is to adapt and enhance existing research approaches of processing visual biological signals. The focus is set on the design and deployment of a new system, which is able to process visual data as well as detect and localize human faces by using artificial neural networks and calculate each individuals heart rate from the processed data's information. For the first time in this research area, different scenarios with more than three observed participants are being analyzed to calculate the heart rate for each of them separately. It will be shown that by using the applied technical architecture and technologies, it is possible to deploy a comparable and qualitatively competitive system. In addition, the implemented system proves the feasibility of processing various faces' signals and calculating the respective heart rates simultaneously within an acceptable range of tolerance.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Multi-criteria decision model for multicircular flight control of unmanned aerial vehicles through a hybrid approach

引用

Scientific reports 2025年第1期15卷 18962页

作者： Noorulden Basil Hamzah M Marhoon Bayan Mahdi Sabbar Abdullah Fadhil Mohammed Osamah Albahri Ahmed Albahri Abdullah Alamoodi Iman Mohamad Sharaf Amare Merfo Amsal Mahrous Ahmed Enas Ali Sherif S M Ghoneim Department of Electrical Engineering College of Engineering Mustansiriyah University Baghdad Iraq. noorulden@uomustansiriyah.edu.iq. Department of Automation Engineering and Artificial Intelligence College of Information Engineering Al-Nahrain University Jadriya Baghdad Iraq. College of Engineering and Engineering Techniques Al-Mustaqbal University Babylon Iraq. Department of Electrical Engineering College of Engineering Mustansiriyah University Baghdad Iraq. Computer Techniques Engineering Department Mazaya University College Nasiriyah Iraq. Victorian Institute of Technology Melbourne Australia. Technical Engineering College Imam Ja'afar Al-Sadiq University (IJSU) Baghdad Iraq. University of Information Technology and Communications (UOITC) Baghdad Iraq. Applied Science Research Center Applied Science Private University Amman Jordan. GUST Engineering and Applied Innovation Research Center (GEAR) Gulf University for Scienceand Technology Mishref Kuwait. Department of Basic Sciences Higher Technological Institute 10th of Ramadan City Egypt. Department of Mechanical Engineering Faculty of Technology Debre Markos University P. O. Box 269 Debre Markos Ethiopia. amare_merfo@dmu.edu.et. Department of Electrical Engineering College of Engineering Taif University 21944 Taif Saudi Arabia. Centre for Research Impact and Outcome Chitkara University Institute of Engineering and Technology Chitkara University Rajpura Punjab 140401 India.

This study presents a novel approach for optimizing UAV (unmanned aerial vehicle) Multicircular flight control by developing a fractional order proportional integral derivative (FOPID)-based hybrid Eagle strategy particle swarm optimization ant lion optimizer (HESPSOALO). The proposed algorithm combines the strengths of particle swarm optimization (PSO) and the ant lion optimizer (ALO), which are enhanced by the Eagle strategy to systematically fine-tune the FOPID controller parameters. This hybrid optimization method aims to improve system stability, responsiveness, and disturbance rejection in UAVs, particularly in challenging dynamic flight conditions. The proposed approach was validated against traditional control methods that utilize FOPID (Base), the Base HESPSOALO algorithm, the FOPID-based HPSOGWO (Hybrid Particle Swarm Optimization-Gray Wolf Optimizer), and the FOPID-based HGWOALO (Hybrid Gray Wolf Optimization-Ant Lion Optimizer) with a set of benchmark functions used in the analysis. The results demonstrate a minimization of position and angular errors, reduced oscillations, and overall improved control stability for the FOPID-based HESPSOALO compared with the other methods. Furthermore, a multicriteria decision-making (MCDM) framework is applied to evaluate the overall performance of alternative control strategies utilizing the CRiteria importance through intercriteria correlation (CRITIC) and technique of order preference by similarity to ideal solution (TOPSIS) techniques. The MCDM analysis demonstrates that among the evaluated criteria, [Formula: see text] has the highest importance, with a weight of 0.244019, whereas [Formula: see text] is deemed the least significant, with a weight of 0.161023. The ranking results reveal that the HESPSOALO algorithm (Base) is the best-performing controller method, with a ranking score of 0.571161, indicating its superior control performance across major metrics. In contrast, the FOPID + HPSOGWO controller method ran

关键词： CRITIC FOPID Hybrid optimization TOPSIS UAV multicircular flight control

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：