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Model of fractured medium and nondestructive control of composite materials

Chinese Journal of Aeronautics 2024年第2期37卷 93-99页

作者： Vasily GOLUBEV Ilia NIKITIN Katerina BEKLEMYSHEVA Department of Computers Science and Numerical Mathematics Moscow Institute of Physics and TechnologyDolgoprudny 141700Russia Mathematical Modeling and Management Department of InformatizationInstitute of Computer Aided Design RASMoscow 123056Russia

Non-destructive testing of composites is an important issue in the modern aircraft *** are susceptible to the barely visible impact damage which can affect the residual strength of the material and occurs both during production and *** continuum model for describing the damaged zone is *** slip theory relations used for a continuous distribution of slip planes are *** the initial stage,the isotropic background model is *** model allows the material slippage along the fractures based on the Coulomb friction law with the small viscous *** this regime,the govern system of equations becomes *** overcome this difficulty,the explicit-implicit grid-characteristic scheme is *** standard ultrasound diagnostic procedure of damaged composite materials is successfully *** with the trivial free-surface fracture model,different reactions on the compression and stretch waves are *** approach provided an effective way for the simulation of complex dynamic behavior of damage zones.

关键词： Non-destructive testing Composite materials Numerical modeling Continuum model Grid-characteristic method

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Drone Image Reconstruction Using Autoencoder Architecture 5

Drone Image Reconstruction Using Autoencoder Architecture

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5th IEEE KhPI Week on Advanced Technology, KhPIWeek 2024

作者： Vlasenko, Vitalii Dashkevych, Andrii Geometric Modeling and Computer Graphics National Technical University"Kharkiv Polytechnic Institute" Kharkiv Ukraine

ISBN: (纸本)9798350384499

The work is devoted to the process of investigation and development of the approach to the reconstruction of images taken from unmanned aerial vehicles (drones) for further work with them. Proposal of the approach is based on using neural networks with an autoencoder architecture, which allows us to reconstruct images with high accuracy. Experiments have shown that the mapped architecture demonstrates a high level of accuracy and brightness of the updated image. The results of the work can be used for developing processing systems for drones or other applications. ©2024 IEEE.

关键词： Drones

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Two kinds of average approximation accuracy

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CAAI Transactions on Intelligence Technology 2024年第2期9卷 481-490页

作者： Qingzhao Kong Wanting Wang Dongxiao Zhang Wenbin Zhang Department of Science Jimei UniversityXiamenChina Digital Fujian Big Data Modeling and Intelligent Computing Institute Jimei UniversityXiamenChina Department of Computer Science Michigan Technological UniversityHoughtonMichiganUSA

Rough set theory places great importance on approximation accuracy,which is used to gauge how well a rough set model describes a target ***,traditional approximation accuracy has limitations since it varies with changes in the target concept and cannot evaluate the overall descriptive ability of a rough set *** overcome this,two types of average approximation accuracy that objectively assess a rough set model’s ability to approximate all information granules is *** first is the relative average approximation accuracy,which is based on all sets in the universe and has several basic *** second is the absolute average approximation accuracy,which is based on undefinable sets and has yielded significant *** also explore the relationship between these two types of average approximation ***,the average approximation accuracy has practical applications in addressing missing attribute values in incomplete information tables.

关键词： rough sets rough set theory

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On the Solvability of the Generalized Neumann Problem for a Higher-Order Elliptic Equation in an Infinite Domain

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Journal of Mathematical Sciences (United States) 2024年第2期278卷 342-353页

作者： Koshanov, B.D. Soldatov, A.P. Institute of Mathematics and Mathematical Modeling Almaty Kazakhstan Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences Moscow Russian Federation

We consider the generalized Neumann problem for a 2lth-order elliptic equation with constant real higher-order coefficients in an infinite domain containing the exterior of some circle and bounded by a sufficiently smooth contour. It consists in specifying of the (k_j − 1)th-order normal derivatives where 1 ≤ k ₁ <.. < k_l ≤ 2l;for k_j = j it turns into the Dirichlet problem, and for k_j = j + 1 into the Neumann problem. Under certain assumptions about the coefficients of the equation at infinity, a necessary and sufficient condition for the Fredholm property of this problem is obtained and a formula for its index in Hölder spaces is given. © 2024, Springer Nature Switzerland AG.

关键词： 2lth-order elliptic equation Fredholm property generalized Neumann problem Hölder space index infinite domain

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An Application for Research of Object Selection and Tracking in Images 4

An Application for Research of Object Selection and Tracking...

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4th IEEE KhPI Week on Advanced Technology, KhPI Week 2023

作者： Vlasenko, Vitalii Dashkevych, Andrii Vorontsova, Darya Okhotska, Olena Geometric Modeling and Computer Graphics National Technical University Kharkiv Polytechnic Institute Kharkiv Ukraine

ISBN: (纸本)9798350395532

The work is devoted to the process of research and development of an object selection and tracking in images. The article offers a solution to the problem of crossing the bounding frames that arises in the operation of YOLO and R-CNN type neural networks by developing a method for estimating the optimal size of the search area, which will allow finding the appropriate object and its bounding frame, and offer a generalized approach to the visualization of the research process, which will allow to visually represent the overlap of the bounding frames and will facilitate the selection of the optimal object. To confirm the effectiveness of the proposed method, there conduct experiments on the appropriate data set. © 2023 IEEE.

关键词： Drones

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Unsupervised Meteorological Downscaling Based on Dual Learning and Subgrid-scale Auxiliary Information

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Advances in Atmospheric Sciences 2025年第1期42卷 53-66页

作者： Jing HU Jialing MU Xiaomeng HUANG Xi WU Department of Computer Science Chengdu University of Information TechnologyChengdu 610225China Department of Earth System Science Ministry of Education Key Laboratory for Earth System ModelingInstitute for Global Change StudiesTsinghua UniversityBeijing 100084China

Climate downscaling is used to transform large-scale meteorological data into small-scale data with enhanced detail,which finds wide applications in climate modeling,numerical weather forecasting,and renewable *** deeplearning-based downscaling methods effectively capture the complex nonlinear mapping between meteorological data of varying scales,the supervised deep-learning-based downscaling methods suffer from insufficient high-resolution data in practice,and unsupervised methods struggle with accurately inferring small-scale specifics from limited large-scale inputs due to small-scale *** article presents DualDS,a dual-learning framework utilizing a Generative Adversarial Network–based neural network and subgrid-scale auxiliary information for climate *** a learning method is unified in a two-stream framework through up-and downsamplers,where the downsampler is used to simulate the information loss process during the upscaling,and the upsampler is used to reconstruct lost details and correct errors incurred during the *** dual learning strategy can eliminate the dependence on high-resolution ground truth data in the training process and refine the downscaling results by constraining the mapping *** findings demonstrate that DualDS is comparable to several state-of-the-art deep learning downscaling approaches,both qualitatively and ***,for a single surface-temperature data downscaling task,our method is comparable with other unsupervised algorithms with the same dataset,and we can achieve a 0.469 dB higher peak signal-to-noise ratio,0.017 higher structural similarity,0.08 lower RMSE,and the best correlation *** summary,this paper presents a novel approach to addressing small-scale uncertainty issues in unsupervised downscaling processes.

关键词： downscaling unsupervised deep learning dual learning auxiliary information

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DeepSurNet-NSGA II:Deep Surrogate Model-Assisted Multi-Objective Evolutionary Algorithm for Enhancing Leg Linkage in Walking Robots

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computers, Materials & Continua 2024年第10期81卷 229-249页

作者： Sayat Ibrayev Batyrkhan Omarov Arman Ibrayeva Zeinel Momynkulov Joldasbekov Institute of Mechanics and Engineering Almaty050000Kazakhstan Department of Mathematical and Computer Modeling International Information Technology UniversityAlmaty050000Kazakhstan Department of Information Systems Al-Farabi Kazakh National UniversityAlmaty050000Kazakhstan

This research paper presents a comprehensive investigation into the effectiveness of the DeepSurNet-NSGA II(Deep Surrogate Model-Assisted Non-dominated Sorting Genetic Algorithm II)for solving complex multiobjective optimization problems,with a particular focus on robotic leg-linkage *** study introduces an innovative approach that integrates deep learning-based surrogate models with the robust Non-dominated Sorting Genetic Algorithm II,aiming to enhance the efficiency and precision of the optimization *** a series of empirical experiments and algorithmic analyses,the paper demonstrates a high degree of correlation between solutions generated by the DeepSurNet-NSGA II and those obtained from direct experimental methods,underscoring the algorithm’s capability to accurately approximate the Pareto-optimal frontier while significantly reducing computational *** methodology encompasses a detailed exploration of the algorithm’s configuration,the experimental setup,and the criteria for performance evaluation,ensuring the reproducibility of results and facilitating future advancements in the *** findings of this study not only confirm the practical applicability and theoretical soundness of the DeepSurNet-NSGA II in navigating the intricacies of multi-objective optimization but also highlight its potential as a transformative tool in engineering and design *** bridging the gap between complex optimization challenges and achievable solutions,this research contributes valuable insights into the optimization domain,offering a promising direction for future inquiries and technological innovations.

关键词： Multi-objective optimization genetic algorithm surrogate model deep learning walking robots

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On a General Method for modeling the Controlled Dynamics of Manipulators with Parallel Kinematics as Systems with Geometrical Constraints 10

On a General Method for Modeling the Controlled Dynamics of ...

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10th International Conference on Advances in Machinery, Material Science and Engineering Application, MMSE 2024

作者： Krasinskiy, Aleksandr Ya Dept. of Computer Modeling and Probability Theory Moscow Aviation Institute National Research UniversityInformation and Computing Center Rosbiotech Moscow Russia

ISBN: (纸本)9781643685465

An adequate mathematical model including all components of an automatic system is a prerequisite for the most cost-effective implementation of the device's potential capabilities. Such a strict nonlinear mathematical model must make it possibility to minimize the actuator drives number, reduce the measurement information amount (the number of measuring sensors) and analyze transient processes in actuator drives. The traditional application of Lagrange equations with constraint multipliers in dynamics models of non-free systems leads to an increase in their dimensionality. The variables of such models are all coordinates, all (including dependent) velocities and also constraint multipliers. The article develops the application of the theoretical mechanics rigorous methods non-free systems to minimize the dimensionality of nonlinear mathematical models of parallel manipulators as the systems with geometric constraints, taking into account the dynamics of actuator electric drives. The transition to equations in redundant coordinates, free from constraint multipliers, excludes from consideration not only multipliers, but also dependent velocities. The application of the proposed approach to modeling the stand Ball and Beam dynamics is considered. © 2024 The Authors.

关键词： Manipulators

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Finite Difference Scheme for a Parabolic Variational Inequality with Time-fractional Derivative

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Lobachevskii Journal of Mathematics 2024年第6期45卷 2865-2874页

作者： Lapin, A. Institute of Computer Sciences and Mathematical Modeling Sechenov First Moscow State Medical University Moscow 119991 Russian Federation Marchuk Institute of Numerical Mathematics of Russian Academy of Sciences Moscow 119991 Russian Federation

Abstract: The ‘‘obstacle problem’’ is posed for a one-dimensional equationwith a monotone quasilinear diffusion operator and a materialfractional derivative of variable order in time (fractionalderivative with respect to the characteristics of the convectionoperator). An implicit finite-difference scheme is constructed andinvestigated. The grid scheme is formulated on the current timelayer in two forms: as a complementarity problem and as aninclusion containing a diagonal multivalued maximal monotoneoperator. The inclusion formulation is used to obtain a prioriestimates of the solution in the maximum norm with a maximum-normor grid -norm for the right-hand side. Inturn, the formulation in the form of a complementarity problemallows us to construct a grid scheme for projecting onto the gridthe exact solution of the differential problem. The error ofapproximation of the grid scheme on the assumed smooth solution ofthe differential problem is studied. The obtained stability andapproximation estimates imply the accuracy estimate, which turnsout to be the same as in the case of the corresponding equationwith a smooth solution. © Pleiades Publishing, Ltd. 2024.

关键词： constraints on solution diffusion-convection operator finite difference scheme stability estimates variable order time-fractional derivative

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Imp: Highly Capable Large Multimodal Models for Mobile Devices

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IEEE Transactions on Multimedia 2025年 27卷 2961-2974页

作者： Shao, Zhenwei Yu, Zhou Yu, Jun Ouyang, Xuecheng Zheng, Lihao Gai, Zhenbiao Wang, Mingyang Kuang, Zhenzhong Ding, Jiajun Hangzhou Dianzi University Key Laboratory of Complex Systems Modeling and Simulation School of Computer Science Hangzhou310005 China Harbin Institute of Technology Shenzhen School of Intelligence Science and Engineering Shenzhen518057 China Hangzhou Dianzi University HDU-ITMO Joint Institute Hangzhou310005 China

By harnessing the capabilities of large language models (LLMs), recent large multimodal models (LMMs) have shown remarkable versatility in open-world multimodal understanding. Nevertheless, they are usually parameter-heavy and computation-intensive, thus hindering their applicability in resource-constrained scenarios. To this end, several lightweight LMMs have been proposed successively to maximize the capabilities under constrained scale (e.g., 3B). Despite the encouraging results achieved by these methods, most of them only focus on one or two aspects of the design space, and the key design choices that influence model capability have not yet been thoroughly investigated. In this paper, we conduct a systematic study for lightweight LMMs from the aspects of model architecture, training strategy, and training data. Based on our findings, we obtain Imp - a family of highly capable LMMs at the 2B ∼ 4B scales. Notably, our Imp-3B model steadily outperforms all the existing lightweight LMMs of similar size, and even surpasses the state-of-the-art LMMs at the 13B scale. With low-bit quantization and resolution reduction techniques, our Imp model can be deployed on a Qualcomm Snapdragon 8Gen3 mobile chip with a high inference speed of about 13 tokens/s. © 1999-2012 IEEE.

关键词： Visual languages

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