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11th Annual Conference on Large Hadron Collider physics, LHCP 2023

作者： Domijan, Karolina AGH University of Kraków al. Adama Mickiewicza 30 Kraków30-059 Poland Faculty of Physics and Applied Computer Science AGH ul. Reymonta 19 Kraków30-059 Poland

Light-by-light scattering (LbyL, γγ → γγ) is a very rare and interesting phenomenon, impossible to measure in standard hadronic lead-lead collisions. Its final state consists of a low-energetic pair of photons with the absence of any other activity in the detector. These di-photon events proved to be a powerful tool for new physics searches involving axion-like particles. A new large sample of lead-lead data is collected in the fall of 2023 as part of Run-3 operations at the LHC. It will provide access to more exclusive events including the LbyL process. Trigger preparations are an important aspect of each data-taking campaign. In particular, small rates of the LbyL process in comparison with the huge activity in the detector from other processes imply the development of special triggering techniques. In this document, some ideas for efficient triggering of events with low-pT electrons and photons are discussed. The first approach involves studies with a dedicated set of triggers deployed in the lead-lead pilot run recorded in November 2022 by the ATLAS experiment. In particular, the estimation of the trigger efficiency for selections based on the hardware-level trigger (so-called level 1) from the pilot run is discussed. © Copyright owned by the author(s).

关键词： Photons

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Classification of Functions Using Machine Learning

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International Journal of Unconventional Computing 2023年第2-3期18卷 217-247页

作者： Lukac, Martin Yessenbayeva, Aigerim Lewis, Michael Podlaski, Krzysztof Nazarbayev University Department of Computer Science Astana01000 Kazakhstan University of Lodz Faculty of Physics and Applied Informatics Lodz Poland

We study the approximation of function classification by machine learn-ing. We first determine all the NPN and NPNP classes of three-bit reversible and one to five-bits irreversible functions. Then we apply machine learning to learn the labels for each set of functions. We then search the parameter space for several optimization criteria, such as the size of the neural network, the architecture, and learning parameters that would allow the network under training to learn the NPN classification problem with up to 100% accuracy. We also determine if, for n-bit functions, a classification can be performed using two smaller net-works, each classifying n-1-bit functions. Additionally, we discuss the logic solvability of all four-bit functions using the game of Nono-grams. We determine a relation between the learnability of the classification and logic solvability. We determined that while there is a set of functions that can be classified by representing a function as a prod-uct of two subfunctions, a more complex model is needed to classify a n-bit NPN functions as a function of n-1-bit NPN functions. In addi-tion, we determine that approximate classification is always possible, with certain NPN classes being perfectly classified while others are not. Moreover, we can observe a direct relationship between the learnability of certain classes and the speed of finding a solution for these classes when used in a logic game. Finally, we show that the approximation of the classification using machine learning can replace standard database-based classification. The advantages of machine learning methods are end-to-end learning, the lack of circuit design requirements for classifi-cation, and the ability to easily learn the class distinction problem. © 2023 Old City Publishing, Inc.

关键词： Classification (of information)

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In Search for Model-Driven eXplainable Artificial Intelligence 1

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10th IFIP International Workshop on Artificial Intelligence for Knowledge Management, AI4KMES 2023

作者： Ligęza, Antoni Sepiolo, Dominik Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering Department of Applied Computer Science AGH University of Krakow al. Mickiewicza 30 Krakow30-059 Poland

ISBN: (数字)9783031610691

ISBN: (纸本)9783031610684

This paper reports on ongoing and innovative research in the area of eXplainable Artificial Intelligence (XAI). A classical XAI task is considered as finding an explanation of the model generated via Machine Learning by identifying the most influential variables for local decision-making. Such an approach suffers from severe limitations. The proposed approach moves the explanatory process to a new, knowledge-level dimension. It is oriented towards Model Discovery, i.e. the internal structure and functions of the components. The concept of Model-Driven XAI is put forward and explained with examples. An experiment on Function Discovery via Grammatical Evolution is reported in brief. © IFIP International Federation for Information Processing 2024.

关键词： Decision making

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A Comparison of Selected Agent-Based Modelling Frameworks 15th

A Comparison of Selected Agent-Based Modelling Frameworks

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15th International Conference on Parallel Processing and applied Mathematics, PPAM 2024

作者： Gacek, Paulina Bocheńczyk, Dominika Krajewski, Maciej Kruczek, Bartosz Lazarz, Krzysztof Magnuszewski, Pawel Zięciak, Antoni Kamiński, Filip Wąs, Jaroslaw Department of Applied Computer Science Faculty of Electrical Engineering Automatics IT and Biomedical Engineering AGH University of Krakow Mickiewicza 30 Krakow30-059 Poland

ISBN: (纸本)9783031857027

In recent years, a variety of new frameworks streamlining the process of agent-based modeling has emerged. These frameworks serve different purposes and each offers a unique set of features. In this practical comparative study, we evaluate the performance of various ABM frameworks through a series of benchmark simulations. By comparing the distinct functionalities offered by these tools, we aim to assist in the selection of an appropriate ABM toolkit for developing system models. This review presents a concise overview of seven popular agent-based modeling tools aiming to inspire further exploration and investigation into this subject. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Digital elevation model

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Universality of random-site percolation thresholds for two-dimensional complex noncompact neighborhoods

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Physical Review E 2024年第3期109卷 034108-034108页

作者： Krzysztof Malarz AGH University Faculty of Physics and Applied Computer Science al. Mickiewicza 30 30-059 Kraków Poland

The phenomenon of percolation is one of the core topics in statistical mechanics. It allows one to study the phase transition known in real physical systems only in a purely geometrical way. In this paper, we determine thresholds pc for random-site percolation in triangular and honeycomb lattices for all available neighborhoods containing sites from the sixth coordination zone. The results obtained (together with the percolation thresholds gathered from the literature also for other complex neighborhoods and also for a square lattice) show the power-law dependence pc∝(ζ/K)−γ with γ=0.526(11), 0.5439(63), and 0.5932(47), for a honeycomb, square, and triangular lattice, respectively, and pc∝ζ−γ with γ=0.5546(67) independently on the underlying lattice. The index ζ=∑iziri stands for an average coordination number weighted by distance, that is, depending on the coordination zone number i, the neighborhood coordination number zi, and the distance ri to sites in the ith coordination zone from the central site. The number K indicates lattice connectivity, that is, K=3, 4, and 6 for the honeycomb, square, and triangular lattice, respectively.

关键词： Percolation Phase transitions Finite-size scaling Monte Carlo methods

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Permanent Magnet Cogging Motor, from Concept to Prototype

Permanent Magnet Cogging Motor, from Concept to Prototype

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2024 International Conference on Electrical Machines, ICEM 2024

作者： Lerch, Tomasz Milewski, Szczepan Drewniak, Michal Lukawski, Krzysztof Kolacz, Tomasz AGH University of Krakow Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering Krakow Poland University of Applied Sciences in Tarnow Polytechnic Faculty Tarnów Poland

ISBN: (纸本)9798350370607

This article presents a description of research that has led to the development of a new design permanent magnet machine. The machine is based on the operational principle of the transverse-flux machine (TFM). In the proposed solution, a core commonly used in radial flux machines was employed, significantly simplifying the construction of the TFM machine. This simultaneously reduces flux leakage and enhances the value of the developed electromagnetic torque. The article sequentially outlines the stages of research on the new design, ranging from analytical calculations through Finite Element Method (FEM) simulation to the construction of a machine prototype. © 2024 IEEE.

关键词： Permanent magnets

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Development of a distributed embedded apogee prediction and control system with sensor fusion for sounding rockets

Development of a distributed embedded apogee prediction and ...

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AIAA SciTech Forum and Exposition, 2024

作者： Slawęcki, Piotr Slonka, Piotr Żebrowski, Wojciech Wesolowska, Zuzanna AGH University of Kraków AGH Space Technology Centre Kraków30-059 Poland AGH University of Kraków Faculty of Computer Science Electronics and Telecommunications Kraków30-059 Poland AGH University of Kraków Faculty of Applied Mathematics Kraków30-059 Poland AGH University of Kraków Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering Kraków30-059 Poland

ISBN: (数字)9781624107115

ISBN: (纸本)9781624107115

This paper presents the development process of a distributed embedded system, designed by the members of agh Space Systems student team with the aim of predicting the optimal engine cut-off time mid-flight to precisely reach a target apogee, with the use of a Pitot tube, inertial measurement units and barometric data. The authors evaluate various analytical approaches to determine the predicted apogee based on the vehicle’s momentary altitude and vertical velocity. © 2024 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

关键词： Embedded systems

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Energy Management Strategy with a Hybrid Renewable Energy System for a Standalone House 16

Energy Management Strategy with a Hybrid Renewable Energy Sy...

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16th International Conference on applied and Theoretical Electricity, ICATE 2024

作者： Mustata, Laurentiu-Alex Sorea, Gheorghe-Dan Helerea, Elena Transilvania University Electrical Engineering and Computer Science Faculty Electrical Engineering and Applied Physics Department Brasov Romania

ISBN: (纸本)9798350388107

In the case of standalone houses, ensuring a continuous and regulated power supply from renewable sources is crucial. To address their unpredictable nature, an environmentally conscious hybrid renewable energy system combining photovoltaic panels, a battery, and a Diesel generator is considered. A software application simulates the power flow in a standalone house with common AC loads, analysing summer and winter scenarios over 24 hours. The strategy employed provides an optimal energy management by using the Diesel generator only during peak demand when PV is available and to cover loads and maintain battery life when PV is not in operation. The simulation results provide valuable insights for designing such hybrid energy systems and for enhancing system responsiveness to dynamic energy demands. © 2024 IEEE.

关键词： Hybrid power

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Titania coating formation on hydrostatically extruded pure titanium by micro-arc oxidation method

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Journal of Materials science & Technology 2022年第16期111卷 224-235页

作者： Ł.Maj D.Wojtas A.Jarz˛ebska M.Bieda K.Trembecka-Wójciga R.Chulist W.Kozioł A.Góral A.Trelka K.Janus J.Kawałko M.Kulczyk F.Muhaffel H.Çimeno˘glu K.Sztwiertnia Institute of Metallurgy and Materials Science Polish Academy of SciencesReymonta 25Krakow 30-059Poland Faculty of Physics and Applied Computer Science AGH University of Science and TechnologyKrakowPoland Academic Centre of Materials and Nanotechnology AGH University of Science and TechnologyKrakowPoland Institute of High Pressure Physics Polish Academy of SciencesWarsawPoland Department of Metallurgical and Materials Engineering Istanbul Technical UniversityIstanbulTurkey

In this work,the microstructure of titania coating fabricated on the surface of hydrostatically extruded titanium grade 4 with the use of the micro-arc oxidation method was *** surface topography and microstructure investigations performed with atomic force microscopy and scanning and transmission electron microscopy revealed that,by using an Na_(2)HPO_(4)electrolyte,a well-adherent porous coating is produced on the top surface and side walls of the extruded *** distribution of chemical elements was analyzed by using energy dispersive X-ray *** chemical elements dissolved in the electrolyte(Na,P and O)incorporated into the *** locates preferentially in the outer part of the coating,while phosphorus and oxygen are distributed throughout the whole *** most relevant finding shows that a grain refinement caused by a hydrostatic extrusion provoked an increase in density of high-angle grain boundaries(HAGB),which in turn secured the formation of a continuous amorphous layer close to the *** presence of this layer compensates for the effect of anisotropic substrate,producing a comparable and homogenous microstructure with a large number of micropores.

关键词： Micro-arc oxidation Titanium of commercial purity Hydrostatic extrusion Surface topography Microstructure

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Emotion-based Dynamic Difficulty Adjustment in Video Games 10

Emotion-based Dynamic Difficulty Adjustment in Video Games

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10th IEEE International Conference on Data science and Advanced Analytics, DSAA 2023

作者： Kutt, Krzysztof Sciga, Lukasz Nalepa, Grzegorz J. Jagiellonian University Faculty of Physics Astronomy and Applied Computer Science Kraków Poland

ISBN: (纸本)9798350345032

Current review papers in the area of Affective Computing and Affective Gaming point to a number of issues with using their methods in out-of-the-lab scenarios, making them virtually impossible to be deployed. On the contrary, we present a game that serves as a proof-of-concept designed to demonstrate that - being aware of all the limitations and addressing them accordingly - it is possible to create a product that works in-the-wild. A key contribution is the development of a dynamic game adaptation algorithm based on the real-time analysis of emotions from facial expressions. The obtained results are promising, indicating the success in delivering a good game experience. © 2023 IEEE.

关键词： Human computer interaction

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