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2023 International Conference on Pattern Recognition, Machine Vision and Intelligent Algorithms, PRMVIA 2023

作者： Li, Jianqi Liang, Yincong Du, Rui Wan, Jingying Cao, Binfang Liu, Huiting Hunan University of Arts and Sciences Hunan Provincial Key Laboratory for Control Technology of Distributed Electric Propulsion Aircraft Changde China Jishou University Hunan Provincial Key Laboratory for Control Technology of Distributed Electric Propulsion Aircraft Changde China Hunan University of Arts and Sciences College of Computer and Electrical Engineering Changde China

ISBN: (纸本)9798350346596

Aiming at the problem that the defects generated in the production and transportation of punched nickel-plated steel strips are not easy to be detected by deep learning methods, a lightweight, low-redundancy, and high-precision detection method is proposed in this paper. Firstly, a feature extraction network based on GhostNet is constructed, which reduces the amount of computation and feature redundancy while ensuring accuracy. Then the ECA module is applied to the detection head to perform weighted fusion of the features of different channels for better differentiation. Finally, the YOLO detection head is used for multi-scale detection. In the experiment, the mAP of 84.86% was obtained by this method, which proves that this method can be applied to the actual steel strip defect: detection. © 2023 IEEE.

关键词： Redundancy

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Multi-Blockchain Based Data Trading Markets With Novel Pricing Mechanisms

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IEEE/CAA Journal of automatica Sinica 2023年第12期10卷 2222-2232页

作者： Juanjuan Li Junqing Li Xiao Wang Rui Qin Yong Yuan Fei-Yue Wang IEEE the State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China the College of Computer Science and Engineering Shandong University of Science and TechnologyQingdao 266590China the School of Artificial Intelligence Anhui UniversityHefei 266114 the Qingdao Academy of Intelligent Industries Qingdao 230031China the School of Mathematics Renmin University of ChinaBeijing 100872China the State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 the Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China

In the era of big data,there is an urgent need to establish data trading markets for effectively releasing the tremendous value of the drastically explosive *** security and data pricing,however,are still widely regarded as major challenges in this respect,which motivate this research on the novel multi-blockchain based framework for data trading markets and their associated pricing *** this context,data recording and trading are conducted separately within two separate blockchains:the data blockchain(DChain) and the value blockchain(VChain).This enables the establishment of two-layer data trading markets to manage initial data trading in the primary market and subsequent data resales in the secondary ***,pricing mechanisms are then proposed to protect these markets against strategic trading behaviors and balance the payoffs of both suppliers and ***,in regular data trading on VChain-S2D,two auction models are employed according to the demand scale,for dealing with users’ strategic *** incentive-compatible Vickrey-Clarke-Groves(VCG)model is deployed to the low-demand trading scenario,while the nearly incentive-compatible monopolistic price(MP) model is utilized for the high-demand trading *** temporary data trading on VChain-D2S,a reverse auction mechanism namely two-stage obscure selection(TSOS) is designed to regulate both suppliers’ quoting and users’ valuation ***,experiments are carried out to demonstrate the strength of this research in enhancing data security and trading efficiency.

关键词： Auction data trading markets multi-blockchain pricing mechanisms

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Identification of coexistence of biological and non-biological aerosol particles with DAPI (4′,6-diamidino-2-phenylindole) stain

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Particuology 2023年第1期72卷 49-57页

作者： Ting Liu Jiaquan Zhang Junji Cao Han Zheng Changlin Zhan Hongxia Liu Lili Zhang Kai Xiao Shan Liu Dong Xiang Daizhou Zhang School of Environmental Science and Engineering Hubei Polytechnic UniversityHubei Key Laboratory of Mine Environmental Pollution Control and RemediationHuangshi 435003China Institute of Atmospheric Physics Chinese Academy of SciencesBeijing 100029China School of Computer Science and Artificial Intelligence Wuhan University of TechnologyWuhan 430063China Faculty of Environmental and Symbiotic Sciences Prefectural University of KumamotoKumamoto 862-8502Japan

The fluorescent dye 4′,6-diamidino-2-phenylindole (DAPI) has been widely used to stain microorganisms in various environment media. We applied DAPI fluorescence enumeration to airborne microorganisms and found that non-biological particles, including organic compounds, minerals, and soot, were also visible upon exposure to UV excitation under fluorescence microscope. Using laboratory-prepared biological particles as the control, we investigated the feasibility of identifying both biological and non-biological particles in the same sample with DAPI staining. We prepared biological (bacterial, fungi, and plant detritus) and non-biological (biochar, soot, mineral, metal, fly ash, salt) particles in the laboratory and enumerated the particles and their mixture with DAPI. We found that mineral particles were transparent, and biochar, soot, metals and fly ash particles were black under a filter set at excitation 350/50 nm and emission 460/50 nm bandpass (DAPI-BP), while biological particles were blue, as expected. Particles of the water-soluble salts NaCl and (NH_(4))_(2)SO_(4) were yellow under a filter set at excitation 340–380 nm and emission 425 nm long pass (DAPI-LP). Case studies with samples of dustfall, atmospheric aerosols and surface soils could allow for the quantification of the relative number of different types of particles and particles with organic matter or salt coating as well. Fluorescence enumeration with DAPI stain is thus able to identify the co-existence of biological and non-biological particles in the air, at least to the extent of those examined in this study.

关键词： 4',6-diamidino-2-phenylindole(DAPI) Biological particles Nonbiological particles Atmospheric aerosols

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Adaptive control, Filtering, and Signal Processing 1

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丛书名： The IMA Volumes in Mathematics and its Applications

1000年

作者： K. J. Åström G. C. Goodwin P. R. Kumar

ISBN: (数字)9781441985682

ISBN: (纸本)9780387979885;9781461264392

The area of adaptive systems, which encompasses recursive identification, adaptive control, filtering, and signal processing, has been one of the most active areas of the past decade. Since adaptive controllers are fundamentally nonlinear controllers which are applied to nominally linear, possibly stochastic and time-varying systems, their theoretical analysis is usually very difficult. Nevertheless, over the past decade much fundamental progress has been made on some key questions concerning their stability, convergence, performance, and robustness. Moreover, adaptive controllers have been successfully employed in numerous practical applications, and have even entered the marketplace.

关键词： Systems Theory, control Calculus of Variations and Optimal control Optimization control, Robotics, Mechatronics

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Attenuation of ultrasound pressure fields described via contrast source formulation

Attenuation of ultrasound pressure fields described via cont...

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2009 IEEE International Ultrasonics Symposium, IUS 2009

作者： Demi, L. Verweij, M.D. Huijssen, J. De Jong, N. Van Dongen, K.W.A. Laboratory of Acoustical Imaging and Sound Control Faculty of Applied Sciences Delft University of Technology Netherlands Laboratory of Electromagnetic Research Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Netherlands Laboratory of Experimental Echocardiography Erasmus Medical Center Rotterdam Netherlands

ISBN: (纸本)9781424443895

Experimental data reveal that attenuation is an important phenomenon in medical ultrasound. The phenomenon is of particular importance for applications based on nonlinear propagation, as the higher frequency components of the pressure field generally experience greater attenuation. Therefore a method that is capable of modeling attenuation accurately is essential. In this paper we present a method to model attenuation via a contrast source formulation. We compare the obtained results with a version of the INCS method in which the attenuation is included in the Green's function. Both results are in excellent agreement with each other. ©2009 IEEE.

关键词： Ultrasonics

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Hybrid Ensemble-Learning Approach for Renewable Energy Resources Evaluation in Algeria

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computers, Materials & Continua 2022年第6期71卷 5837-5854页

作者： El-Sayed M.El-Kenawy Abdelhameed Ibrahim Nadjem Bailek Kada Bouchouicha Muhammed A.Hassan Basharat Jamil Nadhir Al-Ansari Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansouraEgypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura 35712Egypt Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansouraEgypt Energies and Materials Research Laboratory Faculty of Sciences and TechnologyUniversity of Tamanghasset10034TamanghassetAlgeria URERMS Centre de Developpement des Energies Renouvelables(CDER)01000AdrarAlgeria Mechanical Power Engineering Department Faculty of EngineeringCairo UniversityGiza12613GizaEgypt Department Computer Sciences Universidad Rey Juan CarlosMostoles28933MadridSpain Department of Civil Environmental and Natural Resources EngineeringLulea University of Technology97187LuleaSweden

In order to achieve a highly accurate estimation of solar energy resource potential,a novel hybrid ensemble-learning approach,hybridizing Advanced Squirrel-Search Optimization Algorithm(ASSOA)and support vector regression,is utilized to estimate the hourly tilted solar irradiation for selected arid regions in ***-term measured meteorological data,including mean-air temperature,relative humidity,wind speed,alongside global horizontal irradiation and extra-terrestrial horizontal irradiance,were obtained for the two cities of Tamanrasset-and-Adrar for two *** computational algorithms were considered and analyzed for the suitability of *** two new algorithms,namely Average Ensemble and Ensemble using support vector regression were developed using the hybridization *** accuracy of the developed models was analyzed in terms of five statistical error metrics,as well as theWilcoxon rank-sum and ANOVA *** the previously selected algorithms,K Neighbors Regressor and support vector regression exhibited good ***,the newly proposed ensemble algorithms exhibited even better *** proposed model showed relative root mean square errors lower than 1.448%and correlation coefficients higher than *** was further verified by benchmarking the new ensemble against several popular swarm intelligence *** is concluded that the proposed algorithms are far superior to the commonly adopted ones.

关键词： Renewable energy resources hybrid modeling tilted solar irradiation arid region

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Modeling nonlinear acoustic wave fields in media with inhomogeneity in theattenuation and in the nonlinearity

Modeling nonlinear acoustic wave fields in media with inhomo...

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IEEE International Ultrasonics Symposium

作者： Demi, L. Verweij, M.D. De Jong, N. Van Dongen, K.W.A. Laboratory of Acoustical Imaging and Sound Control Faculty of Applied Sciences Delft University of Technology Netherlands Laboratory of Electromagnetic Research Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Netherlands Laboratory of Experimental Echocardiography Erasmus Medical Center Rotterdam Netherlands

ISBN: (纸本)9781457703829

Biomedical tissues usually show inhomogeneity in their acoustic mediumparameters. These inhomogeneities cause refraction and scattering of diagnosticand therapeutic ultrasound waves. A method that is able to model the effects ofinhomogeneity in the attenuation and in the nonlinearity is essential for thedesign of transducers for new ultrasound modalities and the development of novelultrasound applications. The Iterative Nonlinear Contrast Source (INCS) methodhas originally been designed for the accurate modeling of nonlinear acousticwave fields in homogeneous media. It considers the nonlinear term from theWestervelt equation as a distributed contrast source, and the correspondingintegral equation is solved using an iterative Neumann scheme. This paperpresents an extension of the INCS method that can handle inhomogeneity in theattenuation and in the coefficient of nonlinearity. Results are presented forthe one-dimensional case. These show that in this case the presented methodcorrectly predicts the effects related to nonlinear propagation and scatteringby inhomogeneities in the attenuation and the coefficient of non-linearity.© 2010 IEEE.

关键词： Nonlinear equations

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PCB Defect Detection Method Based on Improved RetinaNet 1

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4th International Conference on Machine Learning for Cyber Security, ML4CS 2022

作者： Xu, Yusheng Cao, Xinrong Hu, Rong Keikhosrokiani, Pantea Li, Zuoyong College of Computer Science and Mathematics Fujian University of Technology Fuzhou350118 China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control College of Computer and Control Engineering Minjiang University Fuzhou350121 China School of Computer Sciences Universiti Sains Malaysia Penang11800 Malaysia

ISBN: (数字)9783031200991

ISBN: (纸本)9783031200984

In the electronic industry product quality control, PCB defect detection is a crucial part, which has the characteristics of small defect size and high similarity. The existing defect detection methods are still not good enough for detecting small target defects;therefore, the algorithm in this paper proposes an improved algorithm for PCB defect detection based on the RetinaNet model. The ResNet-D residual structure and efficient channel focus module are introduced in the model backbone network to enhance its feature extraction capability and achieve the purpose of improving the detection accuracy. At the same time, the method replaces the original multi-step learning decay strategy with a cosine annealing scheduling learning strategy, which optimizes the training process of the model. Finally, the performance of the method is verified on the publicly available PCB defect dataset from the Open laboratory of Intelligent Robotics, Peking University. The experimental results show that the algorithm improves the mAP value by 3.2% compared with the original algorithm, while the fastest detection speed reaches 36.9 FPS, which can effectively improve the defect detection performance of PCB. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Defects

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Modeling nonlinear medical ultrasound via a linearized contrast sourcemethod

Modeling nonlinear medical ultrasound via a linearized contr...

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IEEE International Ultrasonics Symposium

ISBN: (纸本)9781457703829

Research on nonlinear medical ultrasound has been increased over the lastdecade and has resulted in a wide range of numerical methods for the modeling ofthe nonlinear distortion of a propagating pressure wave. However, when appliedto realistic configurations, the majority of these methods are eithercomputationally expensive or limited by the applied approximations. TheIterative Nonlinear Contrast Source (INCS) method is able to accurately computethe pulsed nonlinear pressure wave field that is generated in a largethree-dimensional domain by an arbitrary transducer transmitting under a largesteering angle. The method is based on the Neumann iterative solution of anonlinear integral equation that is equivalent to the Westervelt equation. Toimprove the performance of the method, it would be beneficial to employiterative schemes (e.g. Conjugate Gradient based schemes) that are efficient forsolving linear integral equations. This motivates the development of alinearized version of the INCS method, as presented in this paper. To test thepresented approach, a Bi-CGSTAB scheme is used to solve the linearizedWestervelt equation. For the one-dimensional case, results are obtained andcompared with the solution obtained with the original INCS method, and theFubini solution. All the results have been obtained up to the third harmoniccomponent and are in agreement with each other. © 2010 IEEE.

关键词： Integral equations

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Hierarchical Parameter Estimation for Wiener-Hammerstein Systems

Hierarchical Parameter Estimation for Wiener-Hammerstein Sys...

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IEEE SSD International Multi-Conference on Systems, Signals and Devices

作者： Afef Ghanmi Houda Salhi Mourad Elloumi Samira Kamoun Laboratory of Sciences and Techniques of Automatic Control and computer engineering (Lab-STA) Higher School of Science and Technology of Tunis Tunis University Tunis Tunisia

ISBN: (数字)9781728110806

ISBN: (纸本)9781728110813

This paper proposes a new method to estimate the unknown parameters for stochastic nonlinear systems that can be described by Wiener-Hammerstein (W-H) mathematical models (L-N-L cascade). The key of this technique is to decompose the W-H structure into three sub-blocks. Afterwards, we apply the Recursive Extended Least Squares (RELS) estimator at each discrete-time in order to estimate the unknown parameters. Next, we put the output system under two matrix forms and from that, we determine the others parameters using the predicted intermediate variables. The convergence analysis of the W-H-RHPE algorithm is made using the differential equation approach and its performance is validated by treating a simulation example.

关键词： Analytical models Stochastic systems Estimation Stochastic processes Prediction algorithms Mathematical model Nonlinear systems

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