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2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)

作者： Wanli Lyu Jiahao Deng Yu Zhang Dongshuo Yin Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and TechnologyAnhui UniversityKey Lab of Industrial Image Processing and Analysis of Anhui Province

ISBN: (纸本)9781510871076

In this paper,our proposed scheme using two steganography *** other data hiding schemes,this scheme studies the characteristics of the Tangram puzzle model and the secret message bytes that make up the eight binary bits that are hidden into the two *** matrix M *,horizontal and vertical coordinate range from 0 to 255,and the pixel pairs in the cover image are used to help hide the secret message bytes in our *** paired pixel points into single and double number hidden in two *** show that the program can hide relatively more pixels in a cover image with less losing image quality.

关键词： steganography images Tangram puzzle matrix M hide relatively scenario

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A Reliable Data Hiding Scheme Using Jigsaw Sudoku

A Reliable Data Hiding Scheme Using Jigsaw Sudoku

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2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)

作者： Wanli Lyu Dongshuo Yin Yu Zhang Jiahao Deng Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and TechnologyAnhui UniversityKey Lab of Industrial Image Processing and Analysis of Anhui Province

ISBN: (纸本)9781510871076

A distinctive data hiding method based on Jigsaw Sudoku is proposed in this *** from other methods,the proposed method is based on Jigsaw Sudoku which is a kind of irregularly shaped *** to the novelty of Jigsaw Sudoku,the proposed method can provide a safer scheme for data hiding than that with pure *** proposed method can hide a certain number of 9-ary numbers in a steganographic image which has a corresponding *** a 256*256 key matrix stretched from a size 9*9 Jigsaw Sudoku,secret message can be hidden in a vector image byte by byte in the form of *** results show that,the proposed method has a better peaksignal-to-noise-ratio(PSNR) compared with some other data hiding methods.

关键词： Sudoku PSNR hiding methods irregularly shaped steganographic image corresponding specification

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Model Free Control Based Nonlinear Integral-backstepping Control for Blood Glucose Regulation 6

Model Free Control Based Nonlinear Integral-backstepping Con...

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2017 IEEE 6th Data Driven Control and Learning Systems Conference (DDCLS’17)

作者： Qi Wu Haoping Wang Yang Tian Sino-French International Joint Laboratory of Automatic Control and Signal Processing School of Automation Nanjing University of Science ＆ Technology

ISBN: (纸本)9781509054626

In this paper, a Model Free Control based Nonlinear Integral Backstepping Control（MFC-NIB） strategy is developed and applied to blood glucose regulation systems, which is a typical biological system with parameter variations, uncertainties and external disturbances. Firstly, an Intelligent Proportional controller（iP）, which is based on model-free theory and whose algebraic estimation technique is replaced by a Time-Delay Estimation（TDE） method is developed. Secondly, to improve the control convergence, the MFC-NIB is studied based on the proposed iP. Finally, to demonstrate the performance and effectiveness of the proposed method MFC-NIB, the simulations with comparisons with iP have been implemented on the referred glycemia regulation systems.

关键词： Glycemia regulation Model-free control Time-delay estimation Model-free control based nonlinear integral backstepping control

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Integral Backstepping Based Computed Torque Control for A 6 DOF Arm Robot 29

Integral Backstepping Based Computed Torque Control for A 6 ...

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第29届中国控制与决策会议

作者： Shuaishuai HAN Haoping WANG Yang TIAN Automation School Sino-French International Joint Laboratory of Automatic Control and Signal ProcessingNanjing University of Science and Technology

ISBN: (纸本)9781509046584

The focus of this survey is the modeling and control of a 6 DOF arm robot. Based on Lagrangian dynamics, a 6 DOF(degree of freedom) arm robot model is built. The computed torque control(CTC) is applied to the position tracking control and a planned trajectory is given. Furthermore, to improve the tracking speed and achieve the velocity tracking, a nonlinear integral backstepping(NIB) technique is combined with CTC. The final control scheme is proposed, in the name of CTC-NIB. Simulation results show the effectiveness of the proposed control method. Compared with traditional CTC, the CTC-NIB absolutely improve the tracking performance.

关键词： 6 DOF arm robot integral backstepping technique(IB) computed torque control(CTC) trajectory planning position tracking

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Mitigating Intentional Electromagnetic Interferences over the GSM-R System with Adaptive Filters

Mitigating Intentional Electromagnetic Interferences over th...

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International Conference on Applied Electromagnetics and Communications (ICECom)

作者： Artur N. de São José Virginie Deniau Úrsula do C. Resende Ricardo Adriano Graduate Program in Electrical Engineering Federal University of Minas Gerais French Institute of Science and Technology for Transport France Laboratory on Electronics Waves and Signal Processing for Transport French Institute of Science and Technology for Transport Development and Networks Villeneuve d’Ascq France Eletrical Engineering Department Federal Center for Technological Education of Minas Gerais Belo Horizonte Brazil Eletrical Engineering Department Federal University of Minas Gerais Belo Horizonte Brazil

ISBN: (数字)9781728155142

ISBN: (纸本)9781728155159

Intentional electromagnetic interference is a potential issue for railway networks based on ground-to-train communications. Reported mitigation techniques usually rely on electromagnetic compatibility classical procedures, which are not always the best option for such an unpredictable event. In this work, offline adaptive filtering is used to recover global system for mobile communications - railway damaged data.

关键词： Jamming Rail transportation Base stations Time-frequency analysis Downlink Noise measurement Convergence

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Why is the Winner the Best?

Why is the Winner the Best?

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Conference on Computer Vision and Pattern Recognition (CVPR)

作者： M. Eisenmann A. Reinke V. Weru M. D. Tizabi F. Isensee T. J. Adler S. Ali V. Andrearczyk M. Aubreville U. Baid S. Bakas N. Balu S. Bano J. Bernal S. Bodenstedt A. Casella V. Cheplygina M. Daum M. De Bruijne A. Depeursinge R. Dorent J. Egger D. G. Ellis S. Engelhardt M. Ganz N. Ghatwary G. Girard P. Godau A. Gupta L. Hansen K. Harada M. Heinrich N. Heller A. Hering A. Huaulmé P. Jannin A. E. Kavur O. Kodym M. Kozubek J. Li H. Li J. Ma C. Martín-Isla B. Menze A. Noble V. Oreiller N. Padoy S. Pati K. Payette T. Rädsch J. Rafael-Patiño V. Singh Bawa S. Speidel C. H. Sudre K. Van Wijnen M. Wagner D. Wei A. Yamlahi M. H. Yap C. Yuan M. Zenk A. Zia D. Zimmerer D. Aydogan B. Bhattarai L. Bloch R. Brüngel J. Cho C. Choi Q. Dou I. Ezhov C. M. Friedrich C. Fuller R. R. Gaire A. Galdran Á. García Faura M. Grammatikopoulou S. Hong M. Jahanifar I. Jang A. Kadkhodamohammadi I. Kang F. Kofler S. Kondo H. Kuijf M. Li M. Luu T. Martinčič P. Morais M. A. Naser B. Oliveira D. Owen S. Pang J. Park S. Park S. Płotka E. Puybareau N. Rajpoot K. Ryu N. Saeed A. Shephard P. Shi D. Štepec R. Subedi G. Tochon H. R. Torres H. Urien J. L. Vilaça K. A. Wahid H. Wang J. Wang L. Wang X. Wang B. Wiestler M. Wodzinski F. Xia J. Xie Z. Xiong S. Yang Y. Yang Z. Zhao K. Maier-Hein P. F. Jäger A. Kopp-Schneider L. Maier-Hein Division of Intelligent Medical Systems German Cancer Research Center (DKFZ) Heidelberg Germany Helmholtz Imaging German Cancer Research Center (DKFZ) Heidelberg Germany Faculty of Mathematics and Computer Science Heidelberg University Heidelberg Germany Division of Biostatistics German Cancer Research Center (DKFZ) Heidelberg Germany Division of Medical Image Computing German Cancer Research Center (DKFZ) Heidelberg Germany Faculty of Engineering and Physical Sciences School of Computing University of Leeds Leeds UK Institute of Informatics School of Management HES-SO Valais-Wallis University of Applied Sciences and Arts Western Switzerland Sierre Switzerland Department of Nuclear Medicine and Molecular Imaging Lausanne University Hospital Lausanne Switzerland Technische Hochschule Ingolstadt Ingolstadt Germany Center for Artificial Intelligence and Data Science for Integrated Diagnostics (AI2D) and Center for Biomedical Image Computing and Analytics (CBICA) University of Pennsylvania Philadelphia PA USA Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Department of Radiology Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Department of Radiology University of Washington Seattle WA USA Department of Computer Science Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS) University College London London UK Universitat Autònoma de Barcelona & Computer Vision Center Barcelona Spain Division of Translational Surgical Oncology National Center for Tumor Diseases (NCT/UCC) Dresden Dresden Germany Department of Advanced Robotics Istituto Italiano di Tecnologia Italy Department of Electronics Information and Bioengineering Politecnico di Milano Milan Italy IT University of Copenhagen Copenhagen Denmark Department of General Visceral and Transplantation Surgery Heidelberg University Hospital Heidelberg Germany Department of Radiology and Nuc

International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to investigating what can be learnt from these competitions. Do they really generate scientific progress? What are common and successful participation strategies? What makes a solution superior to a competing method? To address this gap in the literature, we performed a multicenter study with all 80 competitions that were conducted in the scope of IEEE ISBI 2021 and MICCAI 2021. Statistical analyses performed based on comprehensive descriptions of the submitted algorithms linked to their rank as well as the underlying participation strategies revealed common characteristics of winning solutions. These typically include the use of multi-task learning (63%) and/or multi-stage pipelines (61%), and a focus on augmentation (100%), image preprocessing (97%), data curation (79%), and post-processing (66%). The “typical” lead of a winning team is a computer scientist with a doctoral degree, five years of experience in biomedical image analysis, and four years of experience in deep learning. Two core general development strategies stood out for highly-ranked teams: the reflection of the metrics in the method design and the focus on analyzing and handling failure cases. According to the organizers, 43% of the winning algorithms exceeded the state of the art but only 11% completely solved the respective domain problem. The insights of our study could help researchers (1) improve algorithm development strategies when approaching new problems, and (2) focus on open research questions revealed by this work.

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Statistical models for earthquakes: A Bayesian analysis

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Physica A: Statistical Mechanics and its Applications 2025年 674卷

作者： Costa, M.O. da Silva, S.L.E.F. Silva, R. França, G.S. Vilar, C.S. Alcaniz, J.S. Departamento de Física Universidade Federal do Rio Grande do Norte RN Natal59072-970 Brazil Laboratory of Parallel Architectures for Signal Processing Universidade Federal do Rio Grande do Norte RN Natal59078-900 Brazil Institute for Complex Systems of the National Research Council c/o Politecnico di Torino TO Turin10129 Italy Universidade do Estado do Rio Grande do Norte RN Mossoró59610-210 Brazil National Institute of Science and Technology of Complex Systems Brazilian Center for Physics Research RJ Rio de Janeiro22290-180 Brazil Instituto de Astronomia e Geofísica Cidade Universitária SP São Paulo05508-090 Brazil Instituto de Física Universidade Federal da Bahia BA Salvador40210-340 Brazil Observatório Nacional RJ Rio de Janeiro20921-40 Brazil

The Gutenberg–Richter (GR) relation is an exponential law widely used for describing earthquakes’ statistical magnitude distributions. Using statistical physics approaches, we present robust models based on the Tsallis q- and Kaniadakis κ-entropies, aiming to capture the influence of irregular fragments occupying space between two tectonic plates with irregular surfaces. The proposed models are called q-GR and κ-GR laws, respectively. Using Bayesian statistical analysis, we examined a large dataset of over 450,000 seismic events recorded along the San Andreas Fault between 2000 and 2023. Our findings reveal that the q-GR and κ-GR models outperform the classical GR law. The results show the κ-GR model exhibits particularly strong empirical support, with optimal performance occurring when κ≈1. © 2025

关键词： Higher order statistics

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A Novel Multiple-traces Electric Field/Combined Field Integral Equation for Electromagnetic Modeling of Microstrip Objects

A Novel Multiple-traces Electric Field/Combined Field Integr...

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International Applied Computational Electromagnetics Society Symposium (ACES)

作者： Yv Long Wang Ran Zhao Zhi Xiang Huang Jun Hu Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University School of Electronic Engineering University of Electronic Science and Technology of China (UESTC)

In this paper, a new multiple-traces electric field/combined field integral equation (MT-EF/CFIE) is proposed for the electromagnetic modeling of microstrip objects. Different from traditional EFIE-PMCHWT method, this new multiple-traces method decomposes the original microstrip object into two independent domains i.e., the exterior region (free space) and interior region (microstrip), and enforces the Robin transmission conditions (TCs) on the interface between exterior and interior regions to ensure the continuity of fields. In comparison to the traditional EFIE-PMCHWT, this new MT-EF/CFIE has a better convergence property. Because the continuity of fields is ensured by TCs, the exterior and interior regions can be discretized by non-conformal meshes, which improves the flexibility and efficiency of the proposed methods substantially.

关键词： Microstrip Microstrip antenna arrays Dielectrics Integral equations Electromagnetic scattering Convergence

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A review of uncertainty quantification in deep learning: Techniques, applications and challenges

arXiv

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arXiv 2020年

作者： Abdar, Moloud Pourpanah, Farhad Hussain, Sadiq Rezazadegan, Dana Liu, Li Ghavamzadeh, Mohammad Fieguth, Paul Cao, Xiaochun Khosravi, Abbas Rajendra Acharya, U. Makarenkov, Vladimir Nahavandi, Saeid Deakin University Australia College of Mathematics and Statistics Guangdong Key Lab. of Intelligent Information Processing Shenzhen University Shenzhen518060 China Dibrugarh University Dibrugarh India Department of Computer Science and Software Engineering Swinburne University of Technology Melbourne Australia Center for Machine Vision and Signal Analysis University of Oulu Oulu Finland Google research United States Department of Systems Design Engineering University of Waterloo Waterloo Canada State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing China Department of Electronics and Computer Engineering Ngee Ann Polytechnic Clementi Singapore Department of Computer Science University of Quebec in Montreal MontrealQC Canada

—Uncertainty quantification (UQ) plays a pivotal role in the reduction of uncertainties during both optimization and decision making, applied to solve a variety of real-world applications in science and engineering. Bayesian approximation and ensemble learning techniques are two of the most widely-used UQ methods in the literature. In this regard, researchers have proposed different UQ methods and examined their performance in a variety of applications such as computer vision (e.g., self-driving cars and object detection), image processing (e.g., image restoration), medical image analysis (e.g., medical image classification and segmentation), natural language processing (e.g., text classification, social media texts and recidivism risk-scoring), bioinformatics, etc. This study reviews recent advances in UQ methods used in deep learning, investigates the application of these methods in reinforcement learning, and highlight the fundamental research challenges and directions associated with the UQ field. Copyright © 2020, The Authors. All rights reserved.

关键词： Image segmentation

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A Fast Proportionate RLS Adaptive Equalization for Underwater Acoustic Communications

A Fast Proportionate RLS Adaptive Equalization for Underwate...

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OCEANS - Europe

作者： Zhen Qin Jun Tao Feng Tong Hongtao Zhang Fengzhong Qu Xiao Han Key Laboratory of Underwater Acoustic Signal Processing of the Ministry of Education School of Information Science and Engineering Southeast University Nanjing China State Key Lab. of Acoustics Institute of Acoustics Chinese Academy of Sciences Beijing China College of Ocean and Earth Sciences Xiamen University Xiamen China Hangzhou Appiled Acoustics Research Institute Hangzhou China Key Laboratory of Ocean Observation-Imaging Testbed of Zhejiang Province Zhejiang University Zhoushan China Acoustic Science and Technology Laboratory Harbin Engineering University Harbin China

In this paper, a low-complexity recursive least squares (RLS) type sparse direct adaptive equalizer (DAE) is proposed for multiple-input multiple-output (MIMO) underwater acoustic (UWA) communications. The underlying proportionate RLS (PRLS) adaptive filter algorithm is motivated by the idea of proportionate updating (PU) originated in the improved proportionate normalized least mean squares (IPNLMS) adaptive filter scheme. To overcome the high complexity of the PRLS that is quadratic in the filter size, a fast implementation is developed in a way similar to the design of the stable fast transversal filter (SFTF) as a low-complexity approximation of the standard RLS adaptive filter algorithm. The resulting fast version of the PRLS is named the proportionate SFTF (PSFTF). The PSFTF is then adopted to update coefficients of a linear equalizer (LE), which was tested by experimental data collected in at-sea UWA communication trials. Experimental results showed the PSFTFDAE achieves faster convergence and better performance than existing SFTF-DAE and RLS-DAE.

关键词： Complexity theory MIMO communication Standards Equalizers Channel estimation Underwater acoustics signal processing algorithms

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