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IEEE Symposium on Nuclear science (NSS/MIC)

作者： K. Witek M. Caccia W. Kucewicz Ł. Mik Faculty Of Computer Science Electronics And Telecommunications AGH University of Krakow Krakow Poland Department of Science and High Technology Università degli Studi dell'Insubria Como Italy Faculty Of Electronics Telecommunications and Mechatronics University of Applied Sciences in Tarnow Tarnow Poland

ISBN: (数字)9798350388152

ISBN: (纸本)9798350388169

Time-to-Digital Converters (TDCs) play a critical role in numerous high-precision applications across the fields of nuclear science, biomedical engineering, and digital communication systems, including Time-of-Flight (ToF) ranging, Positron Emission Tomography (PET), and All-Digital Phase-Locked Loops (ADPLLs). The demand for flexible architectures providing higher timing precision for an increased number of channels has become a focal point due to the limitations of traditional single-channel TDCs which suffer from low bitrate and resolution. This paper presents the design, implementation and commissioning of a 64-channel TDC using the latest Xilinx Field-Programmable Gate Array (FPGA) technology, aimed at overcoming these challenges and significantly enhancing measurement capabilities. The design is based on a combination of Tapped Delay Line (TDL) and Coarse Counter techniques to optimize both precision and dynamic range. The implementation achieved a remarkable temporal resolution of 18 picoseconds in an exemplary multi-stop implementation providing a sequence of nine time stamps in each cycle. This paper details the system architecture, the implementation challenges and the performance evaluation.

关键词： Performance evaluation Semiconductor device measurement Microwave integrated circuits Image resolution Semiconductor detectors Systems architecture Dynamic range

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

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

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International Conference on applied and Theoretical Electricity (ICATE)

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

ISBN: (数字)9798350388107

ISBN: (纸本)9798350388114

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.

关键词： Photovoltaic systems Renewable energy sources Costs Power system dynamics Generators Hybrid power systems Batteries Energy management Optimization Load flow

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Neutrosophic Fuzzy Boundary Value Problem under Generalized Hukuhara Differentiability

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Neutrosophic Sets and Systems 2021年 47卷 179-200页

作者： Kamal, Bassem A. Salama, A.A. shokry, M. El-Azab, Magdi S. El-Baghdady, Galal I. Department of Mathematics and Engineering Physics Faculty of Engineering Delta University for science and technology Egypt Department of Mathematics and Computer Science Faculty of Science Port Saied University Egypt Physics and engineering mathematics department Faculty of engineering Tanta university Egypt Department of Mathematics and Engineering Physics Faculty of Engineering Ma n soura University Egypt

In this article, the main definitions and differentiation concepts of neutrosophic fuzzy environment will be reviewed. This article will introduce an analytical methodology for solvingthe second-order linear ordinary differential problem with neutrosophic fuzzy boundary values,this analysis will be under generalized Hukuhara differentiability to show the analytical solutionsfrom a different point of view for the uncertain system, some of these solutions may be decreasingin uncertainty or maybe reflecting the behavior of some real-world systems better. Someapplications and numeral examples will be solved to show the behavior of the solution © 2021, Neutrosophic Sets and Systems. All Rights Reserved.

关键词： Uncertainty analysis

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Nitinol Based heat Engine for Solar Energy Harvesting

Nitinol Based heat Engine for Solar Energy Harvesting

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International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH)

作者： Shivam Nitin Satpute Sameer Ajay Sake Pavitra Praveen Sardesai Parth Sandip Sawant Apurv Vaibhav Sarode Varad Gangadharrao Sadegaonkar Marek Iwaniec Ramesh Narina Anita Dombale Nishant S. Kulkarni Mechanical Engineering Department Vishwakarma Institute of Technology Pune India Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering AGH University of Science & Technology Krakow Poland

ISBN: (数字)9798350378627

ISBN: (纸本)9798350378634

The most abundantly available renewable energy source on the earth is solar energy. Conventionally, this energy is converted into electric energy with the help of photovoltaic cells. The efficiency of this commercially available technology is around 5-25%. This article deals with the investigation of an innovative energy harvesting system that uses a Shape Memory Alloy (SMA) to utilize solar heat for generating electric power. SMA shows significant deflection when heated and this characteristic is used to develop a SMA based heat engine. This work proposes a heat engine where a SMA wire is used to convert solar radiation to perform mechanical work. Further, the mechanical work is used to drive a rotary electric generator to produce electric energy. The SMA used for this purpose is Nitinol wire, which absorbs heat from the solar radiation and transforms the same initially to mechanical motion, which later is used to produce electric power. Initially, the SMA element is curved in shape, and it shows a significant deflection when it receives the heat from solar radiation. This deflection of the SMA element is used to operate a rotary electric generator to produce electric energy. The theoretical calculations for balance of the energy flow from incident solar radiations to output electric energy is discussed. The developed prototype shows around 4.5% efficiency with an average power of 2.4 mW.

关键词： Heat engines Solar energy Electric generators Voltage Transforms Power systems Wire

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Anisotropic, multiband, and strong-coupling superconductivity of the Pb0.64Bi0.36 alloy

arXiv

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arXiv 2024年

作者： Gutowska, Sylwia Górnicka, Karolina Wójcik, Pawel Klimczuk, Tomasz Wiendlocha, Bartlomiej University of Vienna Faculty of Physics Center for Computational Materials Science Kolingasse 14-16 ViennaA-1090 Austria AGH University of Krakow Faculty of Physics and Applied Computer Science Aleja Mickiewicza 30 Krakow30-059 Poland Materials Science and Technology Division Oak Ridge National Laboratory Oak RidgeTN United States Faculty of Applied Physics and Mathematics and Advanced Materials Centre Gdansk University of Technology ul. Narutowicza 11/12 Gdansk80-233 Poland

This paper presents theoretical and experimental studies on the superconductivity of Pb0.64Bi0.36 alloy, which is a prototype of strongly coupled superconductors and exhibits one of the strongest coupling under ambient pressure among the materials studied so far. The critical temperature, the specific heat in the superconducting state, and the magnetic critical fields are experimentally determined. Deviations from the single-gap s-wave BCS-like behavior are observed. The electronic structure, phonons and electron-phonon interactions are analyzed in relation to the metallic Pb, explaining why the Pb-Bi alloy exhibits such a large value of the electron-phonon coupling parameter λ 2. Superconductivity is studied using the isotropic Eliashberg formalism as well as the anisotropic density functional theory for superconductors. We find that while Pb is a two-gap superconductor with well-defined separate superconducting gaps, in the Pb-Bi alloy an overlapped three-gap-like structure is formed with a strong anisotropy. Furthermore, the chemical disorder, inherent to this alloy, leads to strong electron scattering, which is found to reduce the critical temperature. © 2024, CC BY.

关键词： Anisotropy

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Robust Operation of Energy Communities in the Italian Incentive System

Robust Operation of Energy Communities in the Italian Incent...

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2023 IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2023

作者： Nammouchi, Amal Stentati, Marta Paoletti, Simone Kassler, Andreas Theocharis, Andreas Computer Science Department Karlstad University Karlstad Sweden Dipartimento di Ingegneria dell’Informazione e Scienze Matematiche Università di Siena Siena Italy Faculty of Computer Science Deggendorf Institute of Technology Deggendorf Germany Engineering and Physics Department Karlstad University Karlstad Sweden

ISBN: (纸本)9798350396782

In this paper, we address the optimal operation of energy communities, under energy production and consumption uncertainties. In the nominal case, the operational problem is formulated as the maximization of the profit of the community over a given time horizon. Inspired by the regulation adopted in Italy since 2020, the profit includes an incentive for the self-consumption realized at the community level in each time period. In the presence of uncertainties, we use a robust formulation aiming at maximizing the worst profit achievable when energy production and consumption deviate from their nominal values. The model results in a robust scheduling policy of battery charging/discharging, guaranteeing feasible operation of the community in all scenarios of the uncertainty set. On the other hand, numerical results show that the nominal scheduling policy may suffer from a high constraint violation probability. © 2023 IEEE.

关键词： Energy community profit maximization robust optimization

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Random allocation models in the thermodynamic limit

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Physical Review E 2023年第6期108卷 064107-064107页

作者： Piotr Bialas Zdzislaw Burda Desmond A. Johnston Institute of Applied Computer Science Jagiellonian University Ulica Lojasiewicza 11 30-348 Kraków Poland Faculty of Physics and Applied Computer Science AGH University of Krakow Aleja Mickiewicza 30 30-059 Kraków Poland School of Mathematical and Computer Sciences Heriot-Watt University Riccarton Edinburgh EH14 4AS United Kingdom

We discuss the phase transition and critical exponents in the random allocation model (urn model) for different statistical ensembles. We provide a unified presentation of the statistical properties of the model in the thermodynamic limit, uncover relationships between the thermodynamic potentials, and fill some lacunae in previous results on the singularities of these potentials at the critical point and behavior in the thermodynamic limit. The presentation is intended to be self-contained, so we carefully derive all formulas step by step throughout. Additionally, we comment on a quasiprobabilistic normalization of configuration weights, which was considered in some recent studies.

关键词： Classical statistical mechanics Phase diagrams Phase transitions Phase transitions by order Specific phase transitions Zero-range process

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ON AUTOMATIC CALIBRATION OF THE SIRD EPIDEMIOLOGICAL MODEL FOR COVID-19 DATA IN POLAND

arXiv

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arXiv 2022年

作者： Laszczyk, Piotr B. Klimczak, Konrad Mahdi, Adam Oprocha, Piotr Potorski, Pawe L. Przyby Lowicz, Pawe L. Sobieraj, Micha L. Faculty of Computer Science Electronics and Telecommunications AGH University of Science and Technology Krakow Poland Faculty of Metals Engineering and Industrial Computer Science AGH University of Science and Technology Krakow Poland Faculty of Applied Mathematics AGH University of Science and Technology Kraków Poland Oxford Internet Institute University of Oxford Oxford United Kingdom

We propose a novel methodology for estimating the epidemiological parameters of a modified SIRD model (acronym of Susceptible, Infected, Recovered and Deceased individuals) and perform a short-term forecast of SARS-CoV-2 virus spread. We mainly focus on forecasting number of deceased. The procedure was tested on reported data for Poland. For some short-time intervals we performed numerical test investigating stability of parameter estimates in the proposed approach. Numerical experiments confirm the effectiveness of short-term forecasts (up to 2 weeks) and stability of the method. To improve their performance (i.e. computation time) GPU architecture was used in *** Codes 92-10, 92D30, 62F10, 65L05 Copyright © 2022, The Authors. All rights reserved.

关键词： Graphics processing unit

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Optimizing BI-RADS 4 Lesion Assessment Using Lightweight Convolutional Neural Network with CBAM in Contrast Enhanced Mammography 1st

Optimizing BI-RADS 4 Lesion Assessment Using Lightweight Con...

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1st Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in Breast Care, Deep-Breath 2024

作者： Oladimeji, Oladosu Ayaz, Hamail McLoughlin, Ian Unnikrishnan, Saritha Faculty of Engineering and Design Atlantic Technological University Sligo Ireland Health and Biomedical Strategic Research Centre Atlantic Technological University Sligo Ireland Faculty of Engineering and Design Atlantic Technological university SligoF91 YW50 Ireland Department of Computer Science and Applied Physics Atlantic Technological university Galway Ireland

ISBN: (纸本)9783031777882

Breast cancer is the leading cause of cancer-related mortality and morbidity among women worldwide. Early detection plays a crucial role in improving survival rates and BI-RADS classification is one of the effective ways of predicting breast cancer. However, BI-RADS Category 4 encompasses a broad spectrum of malignancy probabilities, ranging from over 2% to 95%. Due to the wide malignancy likelihood range and the ambiguous qualitative attributes of BI-RADS 4, patients are subjected to overdiagnosis and unnecessary procedures, such as biopsy, which entail a certain degree of physical trauma as well as financial strain. This study proposed a lightweight CNN where MobileNet serves as the backbone architecture, augmented with the Convolutional Block Attention Module (CBAM), resulting in the MobileNet-CBAM model. The model demonstrated good performance in discriminating BI-RADS 4 category malignant and benign cases in Contrast Enhanced Spectral Mammogram (CESM) with a prediction of 82%, 82% and 0.91 for accuracy, f1-score and roc-auc respectively. Additionally, for clinical friendliness, the model explanation was given using SHAP. Hence, the model presents potential utility in predicting breast cancer for lesions categorized as BI-RADS category 4 in breast imaging. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Convolution

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A new decision tree pre-pruning method based on nodes probabilities 5

A new decision tree pre-pruning method based on nodes probab...

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5th International Conference on Intelligent Systems and computer Vision, ISCV 2022

作者： Manzali, Youness Far, Pr. Mohamed El Sidi Mohammed Ben Abdellah University Applied Physics Computer Science and Statistics Laboratory Faculty of Sciences Dhar El Mehraz Fez Morocco

ISBN: (纸本)9781665495585

One of the most well-known and effective data mining approaches is the decision tree. Many researchers have established and thoroughly investigated this technique. On the other hand, some decision tree algorithms may yield a complex structure that is difficult to comprehend. In addition, data misclassification is common during the learning process. Pruning can be utilized as a fundamental procedure to solve this problem. To improve generalization, it eliminates the use of noisy, contradictory data. In this paper, we propose a new pre-pruning method that prunes weak nodes with a high probability. The experimental results are verified using 24 benchmark datasets from the UCI machine learning repository. The results indicate that our new tree pruning method is a feasible way of pruning decision trees. © 2022 IEEE.

关键词： Decision trees

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