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International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)

作者： A. A. Kornilova S. I. Mustafina D. A. Kornilov E. R. Gizzatova A.G. Mustafin R. N. Galiakhmetov Institute of Mathematics Computer Science and Robotics Ufa University of Science and Technology Ufa Russia Institute of Chemistry and Protection in Emergency Situations Ufa University of Science and Technology Ufa Russia Institute of Technologies and Materials Ufa University of Science and Technology Ufa Russia

ISBN: (数字)9798331532178

ISBN: (纸本)9798331532185

The work revealed that the destruction process occurs in three stages. Each stage is characterized by its own kinetic model. The values of the pre-exponential factor and the activation energy of the reaction rate constant were obtained. The calculation according to this method with the found values of the reaction rate constants showed a fairly good match with the experimental data.

关键词： Solid modeling Automation Solids Control systems Mathematical models Energy efficiency Kinetic theory

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The Method of Basic Functions in the Analysis of Monomer Conversion in Radical Polymerization

The Method of Basic Functions in the Analysis of Monomer Con...

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International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)

作者： D. R. Gizzatov A. A. Kornilova G. K. Khisametdinova E. R. Gizzatova Institute of Chemistry and Protection in Emergency Situations Ufa University of Science and Technology Ufa Russia Institute of Mathematics Computer Science and Robotics Ufa University of Science and Technology Ufa Russia

In this paper, for the process of radical polymerization, a method is used to obtain basic functions linking the kinetic constants of the process rates. It is shown that when analyzing the conversion curve, depending on different basic functions, the intervals of stationary and non-stationary modes of operation of the process are sufficiently well visualized and determined. At the same time, parametrizing the basic functions of the degrees of expenditure of the initiator and the monomer, it is possible to obtain monomodal curves, the peak values of which are analogs of the values of the velocity constants. The obtained graphical dependencies indicate the adequacy of the research.

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Brazilian Free-Energy Market Mid-and Long-Term Forecasting Using Multi-Source Ensemble Solution

Brazilian Free-Energy Market Mid-and Long-Term Forecasting U...

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International Conference on Machine Learning and Applications (ICMLA)

作者： Sérgio B. Júnior Saulo M. Mastelini Marcos B. S. Paula Moisés R. Santos Ewerton Guarnier Donato S. Filho Maria E. C. M. Santos Thaina R. Fernandes Victor C. V. Rosa Volt Robotics Brazil Institute of Mathematics and Computer Science - University of São Paulo Brazil Faculty of Engineering University of Porto Portugal Norte Energia S.A. Brazil

ISBN: (数字)9798350374889

ISBN: (纸本)9798350374896

With its vast territory and diverse population distribution, Brazil is undergoing significant developments in its energy sector as it transitions towards a liberalized market. By 2030, the country aims to open the market to all consumers, enhancing competition, and liquidity in energy contracts, and fostering a dynamic trading environment. Effective market price monitoring is essential for understanding its dynamics and guiding decision-making processes in engineering applications. This paper aims to predict medium and long-term price movements in the free energy market. Our analysis of market price curves for different time horizons offers insights into energy market dynamics, enabling energy companies to optimize portfolio strategies and mitigate risks effectively. We consider forecast horizons of one quarter and one semester ahead, providing valuable insights for stakeholders navigating Brazil's evolving energy landscape. We utilize a combination of Machine Learning (ML)-based forecasters enriched by a broad set of exogenous data sources to provide forecasts for energy contracts whose effective date is Y2, Y3, and Y4 years ahead. In this study, we explore a simple yet effective and explainable alternative to using all the exogenous time series directly as input for our models. Namely, multiple related time series are aggregated into a series of histograms. Our proposed ensemble outperforms traditional statistical-based forecasting models, other ML solutions, and strong baselines in terms of resulting financial returns, particularly in the one-quarter prediction horizon, while also achieving competitive results for one semester ahead.

关键词： Histograms Soft sensors Time series analysis Machine learning Companies Stakeholders Proposals Forecasting Portfolios Contracts

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Study on Autonomous Delivery of Guidewire Based on Improved YOLOV5s on Vascular Model Platform

Study on Autonomous Delivery of Guidewire Based on Improved ...

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2022 IEEE International Conference on robotics and Biomimetics, ROBIO 2022

作者： Wang, Shuang Liu, Zheng Shu, Xiongpeng Cao, Yongfeng Zhang, Ling Xie, Le School of Materials Science and Engineering Shanghai Jiao Tong University Shanghai200240 China School of Mathematics and Computer Science Quanzhou Normal University Quanzhou362000 China Institute of Forming Technology and Equipment Institute of Medical Robotics Shanghai Jiao Tong University Shanghai200240 China

ISBN: (纸本)9781665481090

Cardiovascular interventional surgery robot is an effective means to solve the problem of X-ray radiation injury and physiological fatigue of surgeons. With the development of robotics, robotic autonomous surgery has become one of the research hotspots. However, the current intelligence level of cardiovascular interventional surgery robots is low. Aiming at the guidewire delivery process of the designed cardiovascular interventional surgery robot, this paper proposes a new control strategy based on improved YOLOV5s deep learning algorithm, which can realize the autonomous delivery of the guidewire under image navigation. The development of the vascular model platform experiment proved the feasibility of the scheme. © 2022 IEEE.

关键词： Image enhancement

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Modeling and analysis of a CT-guided lung puncture robot

Modeling and analysis of a CT-guided lung puncture robot

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2022 IEEE International Conference on robotics and Biomimetics, ROBIO 2022

作者： Zhang, Ling Wang, Shuang Shu, Xiongpeng Xie, Le Shanghai Jiao Tong University School of Materials Science and Engineering Shanghai200240 China Quanzhou Normal University School of Mathematics and Computer Science Quanzhou362000 China Institute of Forming Technology and Equipment Institute of Medical Robotics Shanghai Jiao Tong University Shanghai200240 China

ISBN: (纸本)9781665481090

In this paper, a five-degree-of-freedom lung puncture biopsy surgical robot system was proposed to solve the clinical problem of small CT aperture and limited puncture space, and the overall size of the robot is within 20∗20∗20 cm. By kinematic analysis of the robot configuration, a working space that can completely cover the patient's chest was obtained. The design of the parallel manipulators was characterized with higher accuracy and stiffer than the serial robots, making the robot end-effector meet the remote immobile puncture effect and reduce the damage to the patient's skin surface. The finite element model of the structure was constructed and statically simulated by Abaqus, and the deformation and strength of the mechanism met the requirements during the operation. © 2022 IEEE.

关键词： Degrees of freedom (mechanics)

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Learning-on-the-Drive: Self-supervised Adaptation of Visual Offroad Traversability Models

arXiv

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arXiv 2023年

作者： Chen, Eric Ho, Cherie Maulimov, Mukhtar Wang, Chen Scherer, Sebastian The Department of Computer Science and Mathematics Harvey Mudd College United States The Robotics Institute Carnegie Mellon University United States The Spatial AI & Robotics Lab University at Buffalo NY14260 United States

Autonomous offroad driving is essential for applications like emergency rescue, military operations, and agriculture. Despite progress, systems struggle with high-speed vehicles exceeding 10m/s due to the need for accurate long-range (> 50m) perception for safe navigation. Current approaches are limited by sensor constraints;LiDAR-based methods offer precise short-range data but are noisy beyond 30m, while visual models provide dense long-range measurements but falter with unseen scenarios. To overcome these issues, we introduce ALTER, a learning-on-the-drive perception framework that leverages both sensor types. ALTER uses a self-supervised visual model to learn and adapt from near-range LiDAR measurements, improving long-range prediction in new environments without manual labeling. It also includes a model selection module for better sensor failure response and adaptability to known environments. Testing in two real-world settings showed on average 43.4% better traversability prediction than LiDAR-only and 164% over non-adaptive state-of-the-art (SOTA) visual semantic methods after 45 seconds of online learning. © 2023, CC BY.

关键词： Optical radar

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Fabrication of Sensorsless Automated Guided Vehicle for Small Warehouse Rack Management

Fabrication of Sensorsless Automated Guided Vehicle for Smal...

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Computational, Communication and Information Technology (ICCCIT), International Conference on

作者： Neelesh Kumar Sahu Piyush Chaturvedi Vaishali Gupta Ruchi Patel Ashok Verma Megha Shrivastava Artificial Intelligence and Robotics Gyan Ganga Institute of Technology and Sciences Jabalpur MP India Department of Computer Sc. & Engg. IPS Academy Institute of Engineering & Science Indore MP India Computer Science and Engineering Gyan Ganga Institute of Technology and Sciences Jabalpur MP India Department of Mathematics Medicaps University Indore MP India

ISBN: (数字)9798331512965

ISBN: (纸本)9798331512972

Automated guided vehicles (AGVs) are an essential part of today's logistics networks because they save time, reduce wear and maintenance expenses, and maximize efficiency in route *** creation of AGVthat is capable of effectively managing warehouse racks without the utilization of sensors is the primary emphasis of this project. In order to travel and carry out duties, the AGVruns on predetermined pathways and makes use of a button-based interface. For the purpose of offering an efficient and costeffective solution for the automation of small warehouses, it is outfitted with a lever mechanism that is operated by a servo motor and features the ability to connect and move racks.

关键词： Fabrication Remotely guided vehicles Automation Solids Sensors Maintenance Information and communication technology Servomotors Logistics

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Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning

arXiv

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arXiv 2024年

作者： Paolino, Raffaele Maskey, Sohir Welke, Pascal Kutyniok, Gitta Department of Mathematics LMU Munich Germany Germany Faculty of Computer Science TU Wien Austria Institute for Robotics and Mechatronics DLR-German Aerospace Center Germany Department of Physics and Technology University of Tromsø Norway

We introduce r-loopy Weisfeiler-Leman (r-WL), a novel hierarchy of graph isomorphism tests and a corresponding GNN framework, r-MPNN, that can count cycles up to length r+2. Most notably, we show that r-WL can count homomorphisms of cactus graphs. This extends 1-WL, which can only count homomorphisms of trees and, in fact, we prove that r-WL is incomparable to k-WL for any fixed k. We empirically validate the expressive and counting power of r-MPNN on several synthetic datasets and demonstrate the scalability and strong performance on various real-world datasets, particularly on sparse graphs. Our code is available on GitHub. © 2024, CC BY-NC-ND.

关键词： Contrastive Learning

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Allocation and Migration of Virtual Machines Using Machine Learning

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computers, Materials & Continua 2022年第2期70卷 3349-3364页

作者： Suruchi Talwani Khaled Alhazmi Jimmy Singla Hasan JAlyamani Ali Kashif Bashir School of Computer Science&Engg. Lovely Professional UniversityPunjabIndia National Center for Robotics and Internet of Things Technology Communication and Information Technology Research InstituteKing Abdulaziz City for Science and Technology(KACST)Riyadh11442Saudi Arabia Department of Information Systems Faculty of Computing and Information Technology in RabighKing Abdulaziz UniversityRabigh21911Saudi Arabia Department of Computing and Mathematics ManchesterMetropolitan UniversityManchesterM156BHUK

Cloud computing promises the advent of a new era of service boosted by means of virtualization *** process of virtualization means creation of virtual infrastructure,devices,servers and computing resources needed to deploy an application *** extensively practiced technology involves selecting an efficient Virtual Machine(VM)to complete the task by transferring applications from Physical Machines(PM)to VM or from VM to *** whole process is very challenging not only in terms of computation but also in terms of energy and *** research paper presents an energy aware VM allocation and migration approach to meet the challenges faced by the growing number of cloud data *** Learning(ML)based Artificial Bee Colony(ABC)is used to rank the VM with respect to the load while considering the energy efficiency as a crucial *** most efficient virtual machines are further selected and thus depending on the dynamics of the load and energy,applications are migrated fromoneVMto *** simulation analysis is performed inMatlab and it shows that this research work results in more reduction in energy consumption as compared to existing studies.

关键词： Cloud computing VM allocation VM migration machine learning

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Weisfeiler and leman go loopy: a new hierarchy for graph representational learning 24

Weisfeiler and leman go loopy: a new hierarchy for graph rep...

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Proceedings of the 38th International Conference on Neural Information Processing Systems

作者： Raffaele Paolino Sohir Maskey Pascal Welke Gitta Kutyniok Department of Mathematics LMU Munich and Munich Center for Machine Learning (MCML) Department of Mathematics LMU Munich Faculty of Computer Science TU Wien Department of Mathematics LMU Munich and Munich Center for Machine Learning (MCML) and Institute for Robotics and Mechatronics DLR-German Aerospace Center and Department of Physics and Technology University of Tromsø

ISBN: (纸本)9798331314385

We introduce r-loopy Weisfeiler-Leman (r-ℓWL), a novel hierarchy of graph isomorphism tests and a corresponding GNN framework, r-ℓMPNN, that can count cycles up to length r + 2. Most notably, we show that r-ℓWL can count homomorphisms of cactus graphs. This extends 1-WL, which can only count homomorphisms of trees and, in fact, we prove that r-ℓWL is incomparable to k-WL for any fixed k. We empirically validate the expressive and counting power of r-ℓMPNN on several synthetic datasets and demonstrate the scalability and strong performance on various real-world datasets, particularly on sparse graphs. Our code is available on https://***/RPaolino/loopy.

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