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Lecture Notes in Electrical engineering 2024年 1110 LNEE卷

作者： Bellotti, Francesco Grammatikakis, Miltos D. Mansour, Ali Roch, Massimo Ruo Seepold, Ralf Solanas, Agusti Berta, Riccardo University of Genoa Genoa Italy Department of Electrical and Computer Engineering Hellenic Mediterranean University Heraklion Greece Lab-STICC CNRS U MR 6285 École nationale supérieure de techniques avancées Bretagne Brest France Department of Electronics and Telecommunications Politecnico di Torino Turin Italy Department of Computer Science HTWG Konstanz-University of Applied Sciences Konstanz Germany Department of Computer Engineering and Mathematics Universitat Rovira i Virgili Tarragona Catalonia Spain

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Simulation of CO2 Storage using a Parameterization Method for Essential Trapping Physics: FluidFlower Benchmark Study

arXiv

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arXiv 2023年

作者： Wang, Yuhang Zhang, Ziliang Vuik, Cornelis Hajibeygi, Hadi School of Environmental Studies China University of Geosciences Wuhan430078 China Faculty of Electrical Engineering Mathematics and Computer Science Department of Applied Mathematics Delft University of Technology Delft2628XE Netherlands Faculty of Civil Engineering and Geosciences Department of Geoscience and Engineering Delft University of Technology Delft2628CV Netherlands

An efficient compositional framework is developed for simulation of CO2 storage in saline aquifers during a full-cycle injection, migration and post-migration processes. Essential trapping mechanisms, including structural, dissolution, and residual trapping, which operate at different time scales are accurately captured in the presented unified framework. In particular, a parameterization method is proposed to efficiently describe the relevant physical processes. The proposed framework is validated by comparing the dynamics of gravity-induced convective transport with that reported in the literature. Results show good agreement for both the characteristics of descending fingers and the associated dissolution rate. The developed simulator is then applied to study the FluidFlower benchmark model. An experimental setup with heterogeneous geological layers is discretized into a two-dimensional computational domain where numerical simulation is performed. Impacts of hysteresis and the diffusion of CO2 in liquid phase on the migration and trapping of CO2 plume are investigated. Inclusion of the hysteresis effect does not affect plume migration in this benchmark model, whereas diffusion plays an important role in promoting convective mixing. This work casts a promising approach to predict the migration of the CO2 plume, and to assess the amount of trapping from different mechanisms for long-term CO2 storage. © 2023, CC BY-NC-ND.

关键词： Porous materials

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A PRIORI AND A POSTERIORI ERROR ESTIMATES FOR DISCONTINUOUS GALERKIN TIME-DISCRETE METHODS VIA MAXIMAL REGULARITY

arXiv

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arXiv 2024年

作者： Akrivis, Georgios Larsson, Stig Department of Computer Science and Engineering University of Ioannina Ioannina451 10 Greece Institute of Applied and Computational Mathematics FORTH Crete Heraklion700 13 Greece Department of Mathematical Sciences Chalmers University of Technology University of Göteborg Göteborg Sweden

The maximal regularity property of discontinuous Galerkin methods for linear parabolic equations is used together with variational techniques to establish a priori and a posteriori error estimates of optimal order under optimal regularity assumptions. The analysis is set in the maximal regularity framework of UMD Banach spaces. Similar results were proved in an earlier work, based on the consistency analysis of Radau IIA methods. The present error analysis, which is based on variational techniques, is of independent interest, but the main motivation is that it extends to nonlinear parabolic equations;in contrast to the earlier work. Both autonomous and nonautonomous linear equations are *** Codes 65M12, 65M15 © 2024, CC BY.

关键词： Galerkin methods

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A theoretical framework for the assessment of water fraction-dependent longitudinal decay rates and magnetisation transfer in membrane lipid phantoms

arXiv

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arXiv 2024年

作者： Neeb, Heiko Schyboll, Felix Shaharabani, Rona Mezer, Aviv A. Shtangel, Oshrat Department of Mathematics Computer Science and Technology University of Applied Sciences Koblenz RheinAhrCampus Remagen Germany Institute for Medical Engineering and Information Processing - MTI Mittelrhein University of Koblenz Germany Edmond and Lily Safra Center for Brain Sciences Hebrew University of Jerusalem Israel

Motivation Phantom systems consisting of liposome suspensions are widely employed to investigate quantitative MRI parameters mimicking cellular membranes. The proper physical understanding of the measurement results, however, requires proper models for liposomes and their interaction with the surrounding water molecules. Molecular dynamics (MD) simulations allow for investigating the basic lipid-water interaction and determining quantitative MR parameters such as R1 = 1/T1. Here, we present an MD-based approach for the theoretical prediction of R1, the dependence of R1 on water concentration and the magnetization exchange between lipids and interacting water layer in lipids and lipid mixtures. Moreover, a new parameter is introduced which quantitatively measures the amount of hydration water based on conventional spoiled gradient echo MR acquisitions. Methods Molecular dynamics simulations were performed to determine the native R1 rates in three lipids and their interacting water pools. Employing a three-pool exchange model between lipid, hydration water and free water, the hydration water fraction, fHW, as a new parameter as well as the magnetization transfer rate between hydration water and lipids, kHW,L, were quantitatively determined, from which the water concentration dependence of R1 was predicted for all liposome systems investigated. Results Both fHW and kHW,L were determined quantitatively from spoiled gradient echo data by taking the MD-determined relaxation rates into account. Liposome systems behaved similarly, apart from PLPC which showed both lower hydration water fraction and lower exchange rate. The extracted parameters accurately predicted the measured water fraction-dependent R1 rates. Conclusion Hydration water fraction and magnetisation transfer between lipids and water can be determined by a combination of spoiled gradient echo acquisitions and MD-derived relaxation rates. The parameters enable a theoretical understanding of MR parameters in lip

关键词： Phantoms

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Incremental Reduction Methods Based on Granular Ball Neighborhood Rough Sets and Attribute Grouping

SSRN

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SSRN 2023年

作者： Li, Yan Wu, Xiaoxue Wang, Xizhao Research Center for Applied Mathematics and Interdisciplinary Sciences Beijing Normal University Zhuhai Campus Zhuhai519087 China College of Mathematics and Information Science Hebei University Baoding071002 China Big Data Institute College of Computer Science and Software Engineering Shenzhen University Guangdong Shenzhen518060 China

In the framework of rough sets, incremental algorithms can effectively reduce repetitive computations for dynamic datasets by discovering the update principles of relevant *** the variations in attribute sets, incremental methods based on neighborhood granulation provide fast updates to attribute reduction in continuous-valued information systems. However, most of these methods assume that the sample distribution and neighborhood radius remain fixed with changes in the attribute set, which may mislead the granulation process and affect the model’s classification ability. In this paper, a new incremental reduction method based on granular balls and attribute grouping is proposed for dynamic information systems with multiple attribute additions. Different neighborhood radii are adaptively determined when the attribute set changes, and the number of neighborhood granules can also be effectively ***, the attributes are grouped based on the k-means algorithm, and only attributes from different groups or with small relevance to those in the current reduction set are considered to be incorporated as a reduction attribute, thus reducing the computation time and simultaneously preserving informative *** and nonlinear correlation coefficients are used to measure attribute relevance based on which three corresponding incremental reduction algorithms are ***, extensive experimental results on 12 benchmark datasets are shown to compare the proposed method with non-incremental and typical incremental methods in terms of time cost, classification accuracy, the size of attribute reduction, and coverage of the reduction. © 2023, The Authors. All rights reserved.

关键词： Granulation

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Reinforcement learning helps slam: Learning to build maps 24

Reinforcement learning helps slam: Learning to build maps

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2020 24th ISPRS Congress - Technical Commission IV on Spatial Information science

作者： Botteghi, N. Sirmacek, B. Schulte, R. Poel, M. Brune, C. Robotics and Mechatronics Faculty of Electrical Engineering Mathematics and Computer Science University of Twente Netherlands School of Engineering Jönköping University Sweden Datamanagement and Biometrics Faculty of Electric Engineering Mathematics and Computer Science University of Twente Netherlands Applied Mathematics Faculty of Electric Engineering Mathematics and Computer Science University of Twente Netherlands

In this research, we investigate the use of Reinforcement Learning (RL) for an effective and robust solution for exploring unknown and indoor environments and reconstructing their maps. We benefit from a Simultaneous Localization and Mapping (SLAM) algorithm for real-time robot localization and mapping. Three different reward functions are compared and tested in different environments with growing complexity. The performances of the three different RL-based path planners are assessed not only on the training environments, but also on an a priori unseen environment to test the generalization properties of the policies. The results indicate that RL-based planners trained to maximize the coverage of the map are able to consistently explore and construct the maps of different indoor environments. © 2020 Authors.

关键词： Reinforcement learning

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Negative Binomial Regression Model for Predicting the Number of Tourists in National Parks of Thailand 10

Negative Binomial Regression Model for Predicting the Number...

引用

10th International Conference on Digital Arts, Media and Technology and 8th ECTI Northern Section Conference on Electrical, Electronics, computer and Telecommunications engineering, ECTI DAMT and NCON 2025

作者： Thepsumritporn, Sthaporn Jitpattanakul, Anuchit Mekruksavanich, Sakorn Phaphan, Wikanda King Mongkut's University of Technology North Bangkok Faculty of Applied Science Department of Applied Statistics Bangkok10800 Thailand King Mongkut's University of Technology North Bangkok Faculty of Applied Science Department of Mathematics Bangkok10800 Thailand Intelligent and Nonlinear Dynamic Innovations Research Center Thailand University of Phayao School of Information and Communication Department of Computer Engineering Phayao56000 Thailand Research Group in Statistical Learning and Inference Thailand

ISBN: (纸本)9798331543273

This article examines the use of count data models to predict the number of tourists visiting Thailand's national parks. The dataset, encompassing observations from 2016 to 2022 across 146 national parks, exhibits characteristics such as discreteness, over dispersion, and non-negative integer values. Two models - Poisson (POI), and Negative Binomial (NB) - were compared to identify the most effective approach for modeling and prediction. Model evaluation metrics, including the Akaike Information Criterion (AIC) and log-likelihood, were employed. Results demonstrate that the Negative Binomial regression model best captures the data's overdispersion compared to the POI model. The NB model achieved the lowest AIC and highest log-likelihood, affirming its superior performance for this application. Our findings underscore the NB model's utility in predicting tourism-related count data and suggest its broader applicability to other domains characterized by overdispersed count data. © 2025 IEEE.

关键词： Logistic regression

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Improvement of computer Recognition of Foam Layer Criteria

Improvement of Computer Recognition of Foam Layer Criteria

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2022 International Conference "Quality Management, Transport and Information Security, Information Technologies", IT and QM and IS 2022

作者： Zatonskiy, Andrey V. Bazhenov, Ruslan I. Orozobekova, Aida K. Beknazarova, Saida S. Gorbunova, Tatiana N. Ledovskikh, Irina A. Perm National Research Polytechnic University Automation of Technological Processes Perm Russia Sholom-Aleichem Priamursky State University Information Systems and Mathematics Birobidzhan Russia Kyrgyz State University of Construction Transport and Architecture Name of N.Isanov Applied Computer Science Bishkek Kyrgyzstan Tashkent University of Information Technologies Named by Muhammad Al-Khwarizmi Audiovisual Technologies Tashkent Uzbekistan Moscow State University of Civil Engineering Applied Mathematics Moscow Russia Pacific National University Mathematics and Information Technology Khabarovsk Russia

ISBN: (数字)9781665488709

ISBN: (纸本)9781665488709

Foam bed flotation processes are common in the poly metallic, potash and food industries. A worker who visually assesses the condition of the foam bed controls the process. This reduces process control and product quality because of the human factor. Using computer vision is based on bubble boundary recognition to control due to poor lighting, low foam contrast, and splash back. Recognition is possible by analyzing the glare from the foam surface. We attempt to improve recognition by accounting for the dark antiglare that takes place due to the bubble deformation. It improved recognition and reduced the noise of the method to a few percents. © 2022 IEEE.

关键词： Process control

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A NOTE ON MULTIPLICATIVE ROOTS OF MULTIVARIABLE FORMAL POWER SERIES

arXiv

引用

arXiv 2025年

作者： Maćkowiak, Piotr Mokatren, Motaz Department of Nonlinear Analysis and Applied Topology Faculty of Mathematics and Computer Science Adam Mickiewicz University Poznań Uniwersytetu Poznańskiego 4 Poznań61-614 Poland Department of Electrical and Electronics Engineering Kinneret College Emek HaYarden Mobile Post Zemach 15132 Israel

Suppose that we are given a formal power series of many variables with coefficients in R (or ℂ) and we want to compute its n-th (multiplicative) root. As can be expected coefficients of the root have to satisfy a system of infinitely many equations. We present such a system of equations that strictly corresponds with the system for n-th of a formal power series of one variable. With help of an example we show that the case of formal power series of many variables is very different from the one variable case with respect to the existence of *** Codes 13F25, 13J05 © 2025, CC BY-NC-ND.

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Deep Reinforcement Learning of Robotic Manipulation for Whip Targeting

Deep Reinforcement Learning of Robotic Manipulation for Whip...

引用

IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR)

作者： Xiang Bai Junyi Wang Xiaofeng Xiong Evangelos Boukas Applied Mathematics and Computer Science Technical University of Denmark Copenhagen Denmark Automation and Control Group Electrical and Photonics Engineering Technical University of Denmark Copenhagen Denmark SDU Biorobotics Mærsk Mc-Kinney Møller Institute University of Southern Denmark Odense Denmark

ISBN: (数字)9798331516857

ISBN: (纸本)9798331516864

This paper aims at a deep reinforcement learning (DRL) controller for fast (< 1.5s) manipulation of a flexible tool (i.e., whip) to hit a target in 3D space. The controller consists of a DRL algorithm for optimizing joint motions, and a proportional-derivative (PD) mechanism for tracking the optimized motions. Their objective is to minimize the distance between the whip-end-tip and the target. The proposed controller was validated in a 7-DOF robot arm by comparing four DRL algorithms in the physical simulator MuJoCo. It shows that the proximal policy optimization (PPO) outperforms others by obtaining the maximum average reward. Notably, PPO can still effectively interact with the environment under sparse or even unrewarding conditions, making it a robust choice for complex and dynamic tasks. Our work provides preliminary knowledge of DRL applications to fast robotic arm control in flexible object manipulation.

关键词： Three-dimensional displays Target tracking Heuristic algorithms Programming Aerospace electronics Deep reinforcement learning Manipulators Optimization Autonomous robots

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