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An innovative test method for mechanical properties of sandstone under instantaneous unloading confining pressure

International Journal of Mining Science and Technology 2024年第12期34卷 1677-1692页

作者： Xuesheng Liu Shenglong Yang Yunliang Tan Jun Wang Xuebin Li Yu Zhang College of Energy and Mining Engineering Shandong University of Science and TechnologyQingdao 266590China State Key Laboratory of Mining Disaster Prevention and Control Shandong University of Science and TechnologyQingdao 266590China Geoscience Department Nuclear Waste Management OrganizationCanada

With the increase of underground engineering construction depth,the phenomenon of surrounding rock sudden failure caused by supporting structure failure occurs *** conventional unloading con-fining pressure(CUCP)test cannot simulate the plastic yielding and instantaneous unloading process of supporting structure to ***,a high stress loading-instantaneous unloading confining pressure(HSL-IUCP)test method was proposed and applied by considering bolt’s fracture under *** wall thickness of confining pressure plates and the material of bolts were changed to realize different confin-ing pressure loading stiffness(CPLS)and lateral maximum allowable deformation(LMAD).The superio-rity of HSL-ICPU method is verified compared with *** rock failure mechanism caused by sudden failure of supporting structure is *** results show that when CPLS increases from 1.35 to 2.33 GN/m,rock’s peak strength and elastic modulus increase by 25.18%and 23.70%,*** fracture characteristics change from tensile failure to tensile-shear mixed *** LMAD decreases from 0.40 to 0.16 mm,rock’s residual strength,peak strain,and residual strain decrease by 91.80%,16.94%,and 21.92%,respectively,and post-peak drop modulus increases by 140.47%.The test results obtained by this method are closer to rock’s real mechanical response characteristics compared with CUCP.

关键词： High stress Instantaneous unloading confining pressure Test method Confining pressure loading stiffness Lateral maximum allowable deformation Rock properties

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Skewed Pins Detection of Aviation Connectors Based on Multi-Modal Cooperative Perception

Skewed Pins Detection of Aviation Connectors Based on Multi-...

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2024 International Conference on Artificial Intelligence of Things and systems, AIoTSys 2024

作者： Li, Jiaming Ren, Cheng Xu, Jiaxin Wang, Yao Xu, Hanlin Guan, Xinping Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Engineering Research Center of Intelligent Control and Management Department of Automation Shanghai200240 China

ISBN: (纸本)9798331507886

Aviation electrical connectors are critically important components in electrical wiring interconnection systems. Currently, connector defect detection relies entirely on manual inspection, which is error-prone and time-consuming. Due to the unique structural characteristics of aviation connectors, single-modality sensors often struggle to simultaneously detect both pins and holes. To address this issue, we propose a 3D skewed pins detection (3D-SPD) algorithm that integrates both 2D and 3D modals features. Due to the low quality of the raw connector data, we propose a connector point cloud enhancement (CPCE) algorithm that combines multi-view point clouds for point cloud fusion enhancement. Based on enhanced data, we perform skewed pin detection. Experimental results indicate that CPCE and 3D-SPD are effective in detecting skewed pins, achieving an accuracy rate exceeding 99%. Our algorithm can be deployed as an AI assistant on the edge device for the skewed pin detection. © 2024 IEEE.

关键词： defect detection machine vision multi-modal cooperative perception skewed pin

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Fauno: The Italian Large Language Model that will leave you senza parole! 13

Fauno: The Italian Large Language Model that will leave you ...

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13th Italian Information Retrieval Workshop, IIR 2023

作者： Bacciu, Andrea Trappolini, Giovanni Santilli, Andrea Rodolà, Emanuele Silvestri, Fabrizio Sapienza University Department of Computer Control and Management Engineering Italy Sapienza University Computer Science Department Italy

This paper presents Fauno, the first and largest open-source Italian conversational Large Language Model (LLM). Our goal with Fauno is to democratize the study of LLMs in Italian, demonstrating that obtaining a fine-tuned conversational bot with a single GPU is possible. In addition, we release a collection of datasets for conversational AI in Italian. The datasets on which we fine-tuned Fauno include various topics such as general question answering, computer science, and medical questions. We release our code and datasets on https://***/RSTLess-research/Fauno-Italian-LLM. © 2023 Copyright for this paper by its authors.

关键词： Computational linguistics

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Performance Improvement control Strategy of Microgrid Multi-Inverter Parallel System 7

Performance Improvement Control Strategy of Microgrid Multi-...

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7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023

作者： Lu, Heng Hu, Changbin Luo, Shanna Li, Xuecheng Huang, Haiyang Deng, Jufu University of Duisburg-Essen Department of Automatic Control and Complex Systems Duisburg Germany North China University of Technology College of Electrical and Control Engineering Beijing China

ISBN: (纸本)9798350345094

This paper develops a performance improvement control strategy based on residual generator to improve the control performance of the multi-inverter parallel system in the presence of load disturbances and line parameter perturbation. This study establishes the state space models of the electrical network and inverters to analyze the performance degradation issues. The model-match technique and multi-agent consistency algorithm are used to design the dynamic and steady-state performance improvement controllers, respectively. Experimental results validate the effectiveness of the proposed control method. © 2023 IEEE.

关键词： Electric loads

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Long-Range Vehicle Detection of LiDAR using Adaboost Classification

Long-Range Vehicle Detection of LiDAR using Adaboost Classif...

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2025 IEEE/SICE International Symposium on System Integration, SII 2025

作者： Lim, Na-Young Lee, Jeon-Hyeok Park, Tae-Hyoung Chungbuk National University Department of Intelligent Systems & Robotics Cheongju Korea Republic of Chungbuk National University Department of Control & Robot Engineering Cheongju Korea Republic of

ISBN: (纸本)9798331531614

In recent developments, autonomous racing has garnered attention as it aims to overcome the limitations of standard autonomous driving systems. Achieving safe racing conditions necessitates both fast and long-range perception. However, current 3D LiDAR object detection methods face challenges with high computational costs and limited detection ranges. These issues make them unsuitable for racing scenarios. To address these challenges, this paper proposes a clustering-based long-range vehicle detection method that relies solely on LiDAR. First, the method removes ground points and foreground points and clusters the remaining points. Subsequently, these clusters are classified as vehicles using AdaBoost, generating 2D bounding boxes in the range view. Experimental results demonstrate superior performance, achieving a computational efficiency of 53 Hz and a long-range detection accuracy of over 80%, compared to voxel-based and range-based methods. This approach offers a viable solution for autonomous racing environments. © 2025 IEEE.

关键词： Autonomous vehicles

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Uncertainty and its Effect on Optimal Multidrug control of Hemodynamic Variables

Uncertainty and its Effect on Optimal Multidrug Control of H...

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2024 American control Conference, ACC 2024

作者： Popescu, Teodora Birs, Isabela R. Othman, Ghada Ben Yumuk, Erhan Mihai, Marcian Hegedus, Erwin Copot, Dana De Keyser, Robin Ionescu, Clara M. Muresan, Cristina I. Technical University of Cluj-Napoca Department of Automation Cluj-Napoca Romania Ghent University Research Group on Dynamical Systems and Control Department of Electromechanics Systems and Metal Engineering Tech Lane Science Park 125 Gent9052 Belgium Istanbul Technical University Department of Control and Automation Engineering Maslak Istanbul34469 Turkey

ISBN: (纸本)9798350382655

Computer aided control in biomedical applications is gaining more and more popularity due to numerous research studies that have proven the efficiency of automatic control over manual dosing, which is highly susceptible to human errors. Optimal drug dosing is best achieved using automatic control, which triggers important benefits in terms of both costs and patient side-effects. However, mathematical models for patients are highly susceptible to large modeling uncertainty. A predictive control algorithm is designed in this paper for optimal multidrug control of hemodynamic variables. Improved closed loop performance is obtained compared to similar control strategies, for ± 30% modeling uncertainty. The simulation results demonstrate that predictive control is a feasible solution for optimal drug dosing. An analysis of the closed loop performance for significant patient variability shows that controllers tuned using a nominal patient model often fail to achieve desired robustness. To limit the effect of modeling uncertainty, the prediction model should be updated using an online identification tool to extract patient features. © 2024 AACC.

关键词： Predictive control systems

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Comparative Study of Parametric Disturbances Effect on Cart-Inverted Pendulum System Stabilization 1

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International Conference on Modern Electronics Devices and Communication systems, MEDCOM 2021

作者： Verma, Neelam Valluru, Sudarshan K. Department of Electrical Engineering Center for Control of Dynamical Systems and Computation Delhi Technological University Delhi India

ISBN: (数字)9789811963834

ISBN: (纸本)9789811963827

The main motivation behind the present work was to validate the impact of pendulum mass, cart mass, and length of pendulum on stabilization and swing-up of cart-inverted pendulum. Inverted pendulum system is a classic benchmark example of underactuated electro-mechanical systems, where the degree of freedom is less than the number of inputs available. PID controller was designed for a set of parameter values of the system. MATLAB simulation was carried out for different values of pendulum mass (0.2–0.25 kg), pendulum length (0.3–0.34 m), and cart mass (2.3–2.45 kg). The performance of considered cart- inverted pendulum system is demonstrated with simulation results for a different set of results, and a comparative analysis was made to comment on their effects on swing-up and stabilization. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Stabilization

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Optimal Operation of Multi-Unit Diesel Power Plant

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Power Technology and engineering 2024年第4期58卷 592-597页

作者： Vasileva, A.A. Vaskov, A.G. Sigel, A.S. Shestopalova, T.A. Shurkalov, P.S. Laboratory of Control Systems for Solar-Diesel Plants National Research University "Moscow Power Engineering Institute" Moscow Russia Department of Hydraulic Power and Renewable Energy Sources National Research University "Moscow Power Engineering Institute" Moscow Russia

Methods of mathematical modeling of the dependence of fuel consumption on the load of diesel gensets are considered. Accounting for such dependence in simulating the operation of solar-diesel hybrid power systems can reduce the consumption of diesel fuel and the operating hours of diesel generators. © Springer Science+Business Media, LLC, part of Springer Nature 2025.

关键词： Diesel power plants

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Autonomous search of real-life environments combining dynamical system-based path planning and unsupervised learning

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IEEE Access 2025年 13卷 101274-101296页

作者： Amadasun, Uyiosa Philip McNamee, Patrick Ahmadabadi, Zahra Nili Naseradinmousavi, Peiman San Diego State University Department of Mechanical Engineering San Diego 92182 CA United States Dynamic Systems and Intelligent Machines Lab United States Dynamic Systems and Control Lab United States

In recent years, advances have been made in chaotic coverage path planning (CCPP) for autonomous search and traversal of spaces with limited environmental cues. However, the field remains unfit for practical application due to limited experimental work addressing three critical challenges: (1) an obstacle avoidance technique that reduces halts or disruptions in continuous chaotic trajectories, (2) a means to spread chaotic trajectories across the environment (especially crucial for large and/or complex-shaped environments) that need to be covered, and (3) a real-time coverage calculation technique that is accurate and independent of cell size. This study develops a novel framework implemented in ROS to address these challenges. We compare our Chaotic Coverage Path Planning (CCPP) approach against Boustrophedon Coverage Path Planning (BCPP) in both simulated and real-world environments. Across all three simulated environments of increasing complexity, BCPP consistently achieved shorter coverage times than our CCPP algorithm. However, an interesting pattern emerged when analyzing the relative performance degradation. When comparing coverage times across environments, CCPP showed less performance degradation than BCPP. Specifically, when normalizing coverage times against the simplest environment, BCPP’s performance degraded by factors of 3.31 and 3.59 for the medium and most complex environments, respectively, while CCPP showed lower degradation factors of 2.57 and 2.35. This suggests that CCPP may be more adaptive to increasing environmental size and complexity, despite having longer absolute coverage times. © 2013 IEEE.

关键词： Autonomous robot Nonlinear dynamical system Path planning Unpredictable search

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Improved Architecture and the Synthesis Algorithm for Bithreshold Neural Network Classifier 18

Improved Architecture and the Synthesis Algorithm for Bithre...

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18th IEEE International Conference on Computer Science and Information Technologies, CSIT 2023

作者： Kotsovsky, Vladyslav Batyuk, Anatoliy Uzhhorod National University Department of Information Management Systems and Technologies Uzhhorod Ukraine Lviv Polytechnic National University Department of Automated Control Systems Lviv Ukraine

ISBN: (纸本)9798350360462

The model of the 3-layer feed-forward neural network is introduced whose first hidden layer consists of bithreshold neurons and the other layers - of single-threshold ones. The proposed network is capable to recognize compact finite set of patterns using a union of hyperrectangular decision regions in n-dimensional space. We design a multiclass classifier on the base of such network, propose the synthesis algorithm for it and estimate the networks size as well as the time of computations. The simulation results demonstrate that the application of the additional hidden layer improves the accuracy of classification. © 2023 IEEE.

关键词： Multilayer neural networks

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