检索结果-内蒙古大学图书馆

18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020

作者： Bustince, Humberto Mesiar, Radko Fernandez, Javier Galar, Mikel Paternain, Daniel Altalhi, Abdulrahman Dimuro, Graçaliz P. Bedregal, Benjamín Takáč, Zdenko Departamento de Estadistica Informatica y Matematicas Universidad Pública de Navarra Campus Arrosadía s/n P.O. Box 31006 Pamplona Spain Department of Mathematics and Descriptive Geometry Faculty of Civil Engineering Slovak University of Technology Bratislava Slovakia Faculty of Computing and Information Technology King Abdulaziz University Jeddah Saudi Arabia Centro de Ciências Computacionais Universidade Federal do Rio Grande Rio Grande96077540 Brazil Departamento de Informática e Matemática Aplicada Universidade Federal do Rio Grande do Norte Natal59078-970 Brazil Institute of Information Engineering Automation and Mathematics Faculty of Chemical and Food Technology Slovak University of Technology in Bratislava Radlinského 9 Bratislava Slovakia

ISBN: (纸本)9783030501426

In this paper, in order to generalize the Choquet integral, we replace the difference between inputs in its definition by a restricted dissimilarity function and refer to the obtained function as d-Choquet integral. For some particular restricted dissimilarity function the corresponding d-Choquet integral with respect to a fuzzy measure is just the ‘standard’ Choquet integral with respect to the same fuzzy measure. Hence, the class of all d-Choquet integrals encompasses the class of all ‘standard’ Choquet integrals. This approach allows us to construct a wide class of new functions, d-Choquet integrals, that are possibly, unlike the ’standard’ Choquet integral, outside of the scope of aggregation functions since the monotonicity is, for some restricted dissimilarity function, violated and also the range of such functions can be wider than [0, 1], in particular it can be [0, n]. © Springer Nature Switzerland AG 2020.

关键词： Integral equations

来源：评论

学校读者我要写书评

暂无评论

Preface

Communications in Computer and Information Science

引用

Communications in Computer and Information Science 2025年 2194 CCIS卷 v-vi页

作者： Singh, Mayank Tyagi, Vipin Gupta, P.K. Flusser, Jan Ören, Tuncer Cherif, Amar Ramdane Tomar, Ravi G.L. Bajaj Institute of Technology and Management Uttar Pradesh Greater Noida India Academics and Research Department Jaypee University of Engineering and Technology Madhya Pradesh Raghogarh India School of Computing Department of Data Science and Engineering Mohan Babu University Andhra Pradesh Tirupati India Institute of Information Theory and Automation Prague Czech Republic School of Electrical Engineering and Computer Science OttawaON Canada University of Paris-Saclay Paris France Persistent Systems Uttarakhand Dehradun India

来源：评论

学校读者我要写书评

暂无评论

An Amplitudes-Perturbation Data Augmentation Method in Convolutional Neural Networks for EEG Decoding 5

An Amplitudes-Perturbation Data Augmentation Method in Convo...

引用

5th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2018

作者： Zhang, Xian-Rui Lei, Meng-Ying Li, Yang Department of Automation Sciences and Electrical Engineering Beihang University Beijing China Department of Automation Sciences and Electrical Engineering Beijing Advanced Innovation Center for Big Data and Brain Computing Beijing Advanced Innovation Center for Big Date-based Precision Medicine Beihang University Beijing China

ISBN: (纸本)9781538670880

Brain-Computer Interface (BCI)system provides a pathway between humans and the outside world by analyzing brain signals which contain potential neural information. Electroencephalography (EEG)is one of most commonly used brain signals and EEG recognition is an important part of BCI system. Recently, convolutional neural networks (ConvNet)in deep learning are becoming the new cutting edge tools to tackle the problem of EEG recognition. However, training an effective deep learning model requires a big number of data, which limits the application of EEG datasets with a small number of samples. In order to solve the issue of data insufficiency in deep learning for EEG decoding, we propose a novel data augmentation method that add perturbations to amplitudes of EEG signals after transform them to frequency domain. In experiments, we explore the performance of signal recognition with the state-of-the-art models before and after data augmentation on BCI Competition IV dataset 2a and our local dataset. The results show that our data augmentation technique can improve the accuracy of EEG recognition effectively. © 2018 IEEE.

关键词： Electroencephalography

来源：评论

学校读者我要写书评

暂无评论

A novel detection approach for moving object with dynamic background 14

A novel detection approach for moving object with dynamic ba...

引用

14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2018

作者： Lu, Yuqiu Liu, Jingjing Ma, Shiwei Xiu, Xianchao Liu, Wanquan School of Mechatronical Engineering and Automation Shanghai University Shanghai China Department of Applied Mathematics Beijinz Jiaotong University Beijina China Department of Computing Curtin University PerthWA Australia

ISBN: (纸本)9781538680971

Moving object detection from video data is one of the most active research points in computer vision area. Recently the 2,0-norm has shown remarkable advantages in signal processing, and the total variation (TV) has been widely used in image processing due to its ability to preserve sharp edges, which are usually the most important for clear object extraction. In this paper, firstly, a unified regularization framework named 2,0 mixed norm and total variation regularized RPCA (MNTV-RPCA) is presented to extract the foreground, which is able to enhance the smoothness of boundary. Secondly, the alternating direction method of multipliers (ADMM) is employed to deal with the proposed constrained minimization problem. Experimental results show that our method have better performance than some state-of-the-art methods especially for the cases with dynamic backgrounds. © 2018 IEEE.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Roadmap on soft robotics: multifunctionality, adaptability and growth without borders

引用

Multifunctional Materials 2022年第3期5卷 032001-032001页

作者： Mazzolai, Barbara Mondini, Alessio Del Dottore, Emanuela Margheri, Laura Carpi, Federico Suzumori, Koichi Cianchetti, Matteo Speck, Thomas Smoukov, Stoyan K. Burgert, Ingo Keplinger, Tobias Siqueira, Gilberto De Freitas Vanneste, Felix Goury, Olivier Duriez, Christian Nanayakkara, Thrishantha Vanderborght, Bram Brancart, Joost Terryn, Seppe Rich, Steven I. Liu, Ruiyuan Fukuda, Kenjiro Someya, Takao Calisti, Marcello Laschi, Cecilia Sun, Wenguang Wang, Gang Wen, Li Baines, Robert Patiballa, Sree Kalyan Kramer-Bottiglio, Rebecca Rus, Daniela Fischer, Peer Simmel, Friedrich C Lendlein, Andreas Bioinspired Soft Robotics Laboratory Istituto Italiano di Tecnologia Italy Department of Industrial Engineering University of Florence Via di S. Marta 3 Florence50139 Italy Department of Mechanical Engineering Tokyo Institute of Technology Ookayama Meguro Tokyo152-8550 Japan The BioRobotics Institute Scuola Superiore Sant’Anna Pisa56025 Italy Department of Excellence in Robotics & AI Scuola Superiore Sant’Anna Pisa56025 Italy Plant Biomechanics Group & Botanic Garden and Cluster of Excellence livMatS @ FIT University of Freiburg Germany Active and Intelligent Materials Laboratory Queen Mary University of London LondonE1 4NS United Kingdom Wood Materials Science Institute for Building Materials ETH Zurich Zurich8093 Switzerland Cellulose and Wood Materials Laboratory Empa Swiss Federal Laboratories for Materials Science and Technology Dübendorf8600 Switzerland University of Lille Inria CNRS Centrale Lille UMR 9189 CRIStAL LilleF-59000 France Dyson School of Design Engineering Imperial College London United Kingdom Vrije Universiteit Brussel and imec Brussels Belgium Thin-Film Device Laboratory RIKEN 2-1 Hirosawa Saitama Wako351-0198 Japan Center for Emergent Matter Science RIKEN 2-1 Hirosawa Saitama Wako351-0198 Japan Electrical and Electronic Engineering and Information Systems The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Japan The BioRobotics Institute Scuola Superiore Sant’Anna Italy Lincoln Institute for Agri-food Technology University of Lincoln Lincoln United Kingdom Department of Mechanical Engineering National University of Singapore Singapore School of Mechanical Engineering and Automation Beihang University Beijing100191 China Department of Mechanical Engineering and Materials Science Yale University New HavenCT06511 United States CSAIL MIT Schwarzman College of Computing United States Max Planck Institute for Intelligent Systems Heisenbergstr. 3 Stuttgart70569 Germany Institute of Physical Chemistry

Soft robotics aims at creating systems with improved performance of movement and adaptability in unknown, challenging, environments and with higher level of safety during interactions with humans. This Roadmap on Soft Robotics covers selected aspects for the design of soft robots significantly linked to the area of multifunctional materials, as these are considered a fundamental component in the design of soft robots for an improvement of their peculiar abilities, such as morphing, adaptivity and growth. The roadmap includes different approaches for components and systems design, bioinspired materials, methodologies for building soft robots, strategies for the implementation and control of their functionalities and behavior, and examples of soft-bodied systems showing abilities across different environments. For each covered topic, the author(s) describe the current status and research directions, current and future challenges, and perspective advances in science and technology to meet the challenges. © 2022 The Author(s). Published by IOP Publishing Ltd.

关键词： Machine design

来源：评论

学校读者我要写书评

暂无评论

Radiology-GPT: A Large Language Model for Radiology

Meta-Radiology

引用

Meta-Radiology 2025年

作者： Zhengliang Liu Yiwei Li Peng Shu Aoxiao Zhong Hanqi Jiang Yi Pan Longtao Yang Chao Ju Zihao Wu Chong Ma Cheng Chen Sekeun Kim Haixing Dai Lin Zhao Lichao Sun Dajiang Zhu Jun Liu Wei Liu Dinggang Shen Quanzheng Li Xiang Li School of Computing University of Georgia 415 Boyd Graduate Studies Research Center Athens 30602 Georgia United States Department of Electrical Engineering Harvard University 33 Oxford Street Cambridge 02138 Massachusetts United States Department of Radiology Second Xiangya Hospital 139 Middle Renmin Road Changsha 410011 Hunan China School of Automation Northwestern Polytechnical University 127 West Youyi Road Xi’an 710072 Shaanxi China Department of Radiology Massachusetts General Hospital and Harvard Medical School 55 Fruit Street Boston 02114 Massachusetts United States Department of Computer Science and Engineering Lehigh University 19 Memorial Drive West Bethlehem 18015 Pennsylvania United States Department of Computer Science and Engineering University of Texas at Arlington 500 UTA Boulevard Arlington 76019 Texas United States Department of Radiation Oncology Mayo Clinic 5881 East Mayo Boulevard Phoenix 85054 Arizona United States School of Biomedical Engineering ShanghaiTech University 393 Middle Huaxia Road Shanghai 201210 Shanghai China Shanghai United Imaging Intelligence Co. Ltd. 2258 Chengbei Road Shanghai 201807 Shanghai China Shanghai Clinical Research and Trial Center 1599 Keyuan Road Pudong New Area (Temporary) Shanghai 201210 Shanghai China

We introduce Radiology-GPT, a large language model for radiology. Using an instruction tuning approach on an extensive dataset of radiology domain knowledge, Radiology-GPT demonstrates superior performance compared to general language models such as StableLM, Dolly and LLaMA. It exhibits significant versatility in radiological diagnosis, research, and communication. This work serves as a catalyst for future developments in clinical NLP. The suc- cessful implementation of Radiology-GPT is indicative of the potential of localizing generative large language models, specifically tailored for distinctive medical specialties, while ensuring adherence to privacy standards such as HIPAA. The prospect of developing individualized, large- scale language models that cater to specific needs of various hospitals presents a promising direction. The fusion of conversational competence and domain-specific knowledge in these models is set to foster future development in healthcare AI. A demo of Radiology-GPT is available at https://***/spaces/allen-eric/radiology-gpt .

关键词： Large language models Radiology Artificial intelligence Privacy

来源：评论

学校读者我要写书评

暂无评论

Modelling and estimation of the oxygen transfer function in a bioreactor with aeration driven by PWM signal 3

Modelling and estimation of the oxygen transfer function in ...

引用

3rd International Symposium on Instrumentation Systems, Circuits and Transducers: Chip in the Pampa, INSCIT 2018

作者： Silva, Francisco J.S. Catunda, Sebastian Y.C. Dorea, Carlos E.T. Van Haandel, Adrianus C. Department of Technical Education Federal Institute of Maranhão Alcantara Brazil Department of Computing Engineering and Automation Federal University of Rio Grande do Norte Natal Brazil Department of Civil Engineering Federal University of Campina Grande Campina Grande Brazil

ISBN: (纸本)9781538672983

The dissolved oxygen concentration is a critical variable to the aerobic biological processes and, hence, the rate of oxygen transfer from gas phase to the liquid phase, where the biological reactions are taking place, is an important issue. The gas-liquid oxygen transfer process is characterized by the volumetric mass transfer coefficient, or oxygen transfer function, which is a parameter that has been used in the design, operation and optimization of such processes. For practical purposes, the oxygen transfer function is considered to depend only on the aerators inlet airflow rate, which is typically nonlinear. In this paper, a linear model of the oxygen transfer function is proposed, where the aerators are driven in a PWM mode rather than in a variable flow rate. Results from experiments with clean water and activated sludge samples show the validity of the proposed linear model. © 2018 IEEE.

关键词： Pulse width modulation

来源：评论

学校读者我要写书评

暂无评论

Software realization of network off-line scheduling with time-triggered ethernet on the basis of response constraint 13

Software realization of network off-line scheduling with tim...

引用

13th International Conference on Computer Science and Education, ICCSE 2018

作者： Wang, Qing Teng, Liping Yang, Yaotong Wu, Huimin Hong, Wenxing Li, Wenjian Tianjin University School of Electrical and Information Engineering Tianjin China Automation Department Xiamen University Xiamen China Tianjin Jinhang Computing Technology Research Institute Tianjin China

ISBN: (纸本)9781538654958

Time-Triggered Ethernet (TTE) is a new network communicational technic with Ethernet, which combines time service and event service. Reasonable time planning and schedule design enable three different types of traffic with various time-critical characteristics including Time-Triggered (TT) traffic, Rate-Constrained (RC) traffic and Best-Effort (BE) traffic to be transmitted regulated by their own rules and priority efficiently. This paper raises a method suited for generating TTE network off-line time schedule with response constraint. Also, this research introduces response constraint as an important consideration on the basis of existed hybrid traffic partitioning scheduling strategy. At the same time, the network schedule is used to form a composite schedule table strategy to simplify the schedule generation process. Furthermore, a software is designed to generate off-line schedule, and its rationality about generating schedule periodically is verified by practical examples. © 2018 IEEE.

关键词： Ethernet

来源：评论

学校读者我要写书评

暂无评论

Modelling of Cross Saturation Effect in Interior Permanent Magnet Synchronous Machines Using Magnetic Equivalent Circuits 23

Modelling of Cross Saturation Effect in Interior Permanent M...

引用

23rd International Conference on Electrical Machines, ICEM 2018

作者： Vuljaj, D. Hanic, Z. Hanic, A. Hanic, A. RIMAC AUTOMOBILI Sveta Nedelja Croatia University of Zagreb Faculty of Electrical Engineering and Computing Department of Electric Machines Drives and Automation Zagreb Croatia Geology and Petroleum Engineering University of Zagreb Faculty of Mining Croatia

ISBN: (纸本)9781538624777

This paper presents a method for calculation of flux linkages in the direct and quadrature axes of interior permanent magnet synchronous machines with a single U shaped barrier. The method is based on the magnetic equivalent circuit. For obtaining the correct results, it is essential to model the cross-saturation effect, especially for q axis current excitation due to magnetomotive force of the permanent magnets. The proposed method is fast and accurate. The paper describes modeling techniques and provides results as well as the comparisons with finite element method. © 2018 IEEE.

关键词： Flux linkage

来源：评论

学校读者我要写书评

暂无评论

A Hole Repairing Method Based on Edge-Preserving Projection 12th

A Hole Repairing Method Based on Edge-Preserving Projection

引用

12th International Conference on e-Learning and Games, Edutainment 2018

作者： Wang, Yinghui Zhao, Yanni Wang, Ningna Ning, Xiaojuan Shi, Zhenghao Zhao, Minghua Lv, Ke Huang, Liangyi Institute of Computer Science and Engineering Xi’an University of Technology Xi’an China Shaanxi Key Laboratory of Network Computing and Security Technology Xi’an China Department of Computer Science Shannxi Vocational and Technical College Xi’an China Booking B.V. Herengracht 597 Amsterdam1017 CE Netherlands Institute of Automation Chinese Academy of Sciences Beijing China School of Engineering and Applied Science George Washington University Washington D.C. United States

ISBN: (纸本)9783030237110

A point cloud hole repairing method based on edge-preserving projection is proposed in order to maintain sharp features of holes. First, the hole boundary points are acquired by quadrants and angles, then connections among 3D hole boundary points are projected onto the two-dimensional plane using the edge-preserving projection. Secondly, the two-dimensional region obtained from projection is subjected to point collectivization for obtaining filling points, at the same time, the radial-basis interpolation mapping technique is used to construct the hole surface according to the 3D hole boundary point. Finally, the two-dimensional filling points are reflected onto the surface of the constructed hole to complete hole repairing. Experimental results show that our method can effectively repair the hole of the point cloud and restore the sharp features of the hole. © 2019, Springer Nature Switzerland AG.

关键词： Repair

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：