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2023 European Data Handling and Data Processing Conference for Space, EDHPC 2023

作者： Goczkowski, J. Kocman, T. Kolenderski, P. Sieminski, R. Gdańsk University of Technology AROBS Polska Faculty of Electronics Telecommunications and Informatics Gdańsk Poland AROBS Polska Gdańsk Poland Nicolaus Copernicus University Faculty of Physics Astronomy and Informatics Toruń Poland

ISBN: (纸本)9789090379241

Due to the rapid growth of interest related to Quantum Key Distribution (QKD) for secure communication applications, the importance of entangled photon source control and read-out electronics increases. In most cases dedicated laboratory equipment are used to generate, collect and store Quantum Keys for encryption purposes. Reliable and effective quantum key generation at long distances requires an entangled photon pair generator, which is a precise optical device requiring alignment and calibration. Calibration can be performed on the ground before a flight, as well as in-orbit, during a flight. In many cases, this process needs to be performed periodically - once a month or even once a week. An approach with calibration on the ground requires a more sophisticated mechanical design that prevents the decalibration. However, in many cases preventing the decalibration by the mechanical design might not be possible. This paper shows the results of development in the scope of hardware, Field Programmable Gate Arrays (FPGA) and software under Self-Calibrating Electronic Controller for Satellite Quantum Entanglement Source (SECSQES) project. © 2023 ESA.

关键词： Calibration

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The Idea of a Student Research Project as a Method of Preparing a Student for Professional and Scientific Work 1

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23rd International Conference on Computational Science, ICCS 2023

作者： Nowicki, Krzysztof Kaczmarek, Mariusz Czarnul, Pawel Faculty of Electronics Telecommunications and Informatics Gdansk University of Technology Narutowicza 11/12 Gdańsk80-233 Poland

ISBN: (数字)9783031360305

ISBN: (纸本)9783031360299

In the paper we present the idea and implementation of a student research project course within the master’s program at the faculty of electronics, Telecommunications and informatics, Gdańsk Tech. It aims at preparing students for performing research and scientific tasks in future professional work. We outline the evolution from group projects into research project and the current deployment of both at bachelor’s and master’s levels respectively, management of projects i.e. steps, reporting and monitoring at both faculty and individual project’s levels within our custom-built Research Project System (RPS). We further elaborate on adopted formal settings and agreements especially considering the possibility of external clients taking part in the projects. Methodology of conducting and several examples of awarded projects are presented along with statistics on the number of submitted/conducted projects as well as those finalized with actual submitted/published research papers/patents proving actual (inter)national impact of the course. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Students

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Hydrodynamic function and spring constant calibration of FluidFM micropipette cantilevers

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Microsystems & Nanoengineering 2024年第1期10卷 277-286页

作者： Attila Bonyár Ágoston G.Nagy Hans Gunstheimer Gotthold Fläschner Robert Horvath Department of Electronics Technology Faculty of Electrical Engineering and InformaticsBudapest University of Technology and EconomicsBudapestHungary Nanobiosensorics Laboratory Institute of Technical Physics and Materials ScienceCentre for Energy ResearchHUN-RENBudapestHungary Nanosurf AG Gräubernstrasse 12CH-4410 LiestalSwitzerland

Fluidic force microscopy(FluidFM)fuses the force sensitivity of atomic force microscopy with the manipulation capabilities of microfluidics by using microfabricated cantilevers with embedded fluidic *** innovation initiated new research and development directions in biology,biophysics,and material *** acquire reliable and reproducible data,the calibration of the force sensor is ***,the hollow FluidFM cantilevers contain a row of parallel pillars inside a rectangular *** precise spring constant calibration of the internally structured cantilever is far from trivial,and existing methods generally assume simplifications that are not applicable to these special types of *** addition,the Sader method,which is currently implemented by the FluidFM community,relies on the precise measurement of the quality factor,which renders the calibration of the spring constant sensitive to *** this study,the hydrodynamic function of these special types of hollow cantilevers was experimentally determined with different *** on the hydrodynamic function,a novel spring constant calibration method was adapted,which relied only on the two resonance frequencies of the cantilever,measured in air and in a *** on these results,our proposed method can be successfully used for the reliable,noise-free calibration of hollow FluidFM cantilevers.

关键词： spring cantilever function

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Audio-Visual Broadcast Transcription System in the Era of Covid-19 46

Audio-Visual Broadcast Transcription System in the Era of Co...

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46th International Conference on Telecommunications and Signal Processing, TSP 2023

作者： Chaloupka, Josef Palecek, Karel Technical University of Liberec Institute of Information Technology and Electronics Faculty of Mechatronics Informatics and Interdisciplinary Studies Liberec Czech Republic

ISBN: (纸本)9798350303964

This paper deals with the methods and algorithms for face (mask) detection and recognition in the system for automatic audio-visual TV broadcast transcription. In the era of Covid-19, traditional methods for face detection and recognition were failing as large numbers of people wearing face masks began to appear in television video recordings. Therefore, we focused our work on finding a sufficiently robust detector and classifier for face (masked/unmasked) detection and recognition. As part of this work, a face mask detector and a face recognizer were trained. © 2023 IEEE.

关键词： Face recognition

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Addressing the Skills Gap in Microelectronics-Development and Validation of Reactive Response in the Project European Chips Skills Academy 30

Addressing the Skills Gap in Microelectronics-Development an...

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30th IEEE International Symposium for Design and Technology in Electronic Packaging, SIITME 2024

作者： Gharaibeh, Ali Krammer, Oliver Cummings, Victoria Budapest University of Technology and Economics Faculty of Electrical Engineering and Informatics Department of Electronics Technology Budapest Hungary Brussels Office SEMI Europe Brussels Belgium

ISBN: (纸本)9798331539511

The European Chips Skills Academy (ECSA), funded by the European Union, began in October 2023 to address the skills and workforce gap in the microelectronics sector. Work Package 5 (WP5) focuses on creating specialised training content for the ECSA, targeting the current and future workforce in Europe's electronics and microelectronics industries. Initially, WP5 is producing training materials on soft skills, such as agile management and digital competences, to support remote workforce development in response to COVID19. Later, the project will expand to include curricula on digital skills, entrepreneurship, green initiatives, and specific microelectronics topics. The developed content will be tested and validated through a Test and Validation Plan, which details activities, timelines, and feedback tools. This plan ensures standardised training and visiting activities, along with uniform reporting by partners, facilitating the final Validation Report and recommendations for improving ECSA training. © 2024 IEEE.

关键词： Microelectronics

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A Generalized Parallel Prefix Sums Algorithm for Arbitrary Size Arrays 14th

A Generalized Parallel Prefix Sums Algorithm for Arbitrary ...

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14th International Conference on Parallel Processing and Applied Mathematics, PPAM 2022

作者： Sikorski, Andrzej Wrosz, Izajasz Lewandowski, Michal Intel Gdańsk Poland Faculty of Electronics Telecommunications and Informatics Gdańsk University of Technology Gdańsk Poland

ISBN: (纸本)9783031304415

The prefix sums algorithm is a fundamental parallel programming building block used to solve significant problems in engineering, mathematical software, and big data analytics. In this paper, we present a generalization of the work-efficient prefix sums algorithm introduced by Blelloch, which in its original form is particularly well-performing on highly parallel architectures. However, the algorithm works only with arrays whose size is a power of 2. While various solutions have been developed to alleviate this limitation, we propose a canonical extension of the classical algorithm, which preserves its original form and maintains the performance characteristics of the work-efficient algorithm. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Parallel programming

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Comparison of Sentiment Classifiers on Slovak Datasets: Original versus Machine Translated 21

Comparison of Sentiment Classifiers on Slovak Datasets: Orig...

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21st International Conference on Emerging eLearning Technologies and Applications, ICETA 2023

作者： Sokolova, Zuzana Harahus, Maros Juhar, Jozef Pleva, Matus Hladek, Daniel Stas, Jan Technical University of Košice Faculty of Electrical Engineering and Informatics Department of Electronics and Multimedia Communications Košice Slovakia

ISBN: (纸本)9798350370690

In this article, we focus on the comparison of classifiers on datasets in the Slovak language. In order to compare the effectiveness of the classifiers, we used two groups of data: the first group was obtained from the Internet and translated into the Slovak language, while the second group was originally in the Slovak language. Our goal was to find out how the translation of datasets affects the performance of classifiers and to identify the most suitable models for the Slovak language. © 2023 IEEE.

关键词： Classification (of information)

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Adaptive Image Enhancement Model for the Robot Vision System 14

Adaptive Image Enhancement Model for the Robot Vision System

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14th International Scientific and Practical Conference on Environment. Technology. Resources, ETR 2023

作者： Smelyakov, Kyrylo Savulioniene, Loreta Chupryna, Anastasiya Sakalys, Paulius Sandrkin, Denys Software engineering department Kharkiv National University of Radio Electronics Kharkiv Ukraine Faculty of electronics and informatics Vilniaus Kolegija/Higher Education Institution Vilnius Lithuania

ISBN: (纸本)9781713874881

Robotics is one of the important trends in the current development of science and technology. Most modern robots and drones have their own vision system, including a video camera, which they use to take digital photos and video streams. These data are used to analyze the situation in the robot's camera field of view, as well as to determine a real-time robot's behavior algorithm. In this regard, the novelty of the paper is special polynomial mathematical model and method for adaptive gradational correction of a digital image. The proposed model and method make it possible to independently adjust to brightness scales and image formats and optimally perform gradational image correction in various lighting conditions. Thus, ensuring the efficiency of the entire subsequent cycle of image analysis in the robot's vision system. In addition, the paper presents the results of numerous experiments of such gradational correction for images of various classes, as well as conditions of reduced and increased levels of illumination of the field of view objects. Conclusions and recommendations are given regarding the practical application of the proposed model and method. © 2023 Kyrylo Smelyakov, Anastasiya Chupryna, Denys Sandrkin, Loreta Savulioniene, Paulius Sakalys.

关键词： Image enhancement

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Comparison of Potential Road Accident Detection Algorithms for Modern Machine Vision System 14

Comparison of Potential Road Accident Detection Algorithms f...

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14th International Scientific and Practical Conference on Environment. Technology. Resources, ETR 2023

作者： Byzkrovnyi, Oleksandr Savulioniene, Loreta Smelyakov, Kyrylo Sakalys, Paulius Chupryna, Anastasiya Software engineering department Kharkiv National University of Radio Electronics Kharkiv Ukraine Faculty of electronics and informatics Vilniaus Kolegija/Higher Education Institution Vilnius Lithuania

ISBN: (纸本)9781713874881

Nowadays the robotics is relevant development industry. Robots are becoming more sophisticated, and this requires more sophisticated technologies. One of them is robot vision. This is needed for robots which communicate with the environment using vision instead of a batch of sensors. These data are utilized to analyze the situation at hand and develop a real-time action plan for the given scenario. This article explores the most suitable algorithm for detecting potential road accidents, specifically focusing on the scenario of turning left across one or more oncoming lanes. The selection of the optimal algorithm is based on a comparative analysis of evaluation and testing results, including metrics such as maximum frames per second for video processing during detection using robot’s hardware. The study categorises potential accidents into two classes: danger and not-danger. The Yolov7 and Detectron2 algorithms are compared, and the article aims to create simple models with the potential for future refinement. Also, this article provides conclusions and recommendations regarding the practical implementation of the proposed models and algorithm. © 2023 Oleksandr Byzkrovnyi, Kyrylo Smelyakov, Anastasiya Chupryna, Loreta Savulioniene, Paulius Sakalys.

关键词： Machine learning

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Positive Concave Deep Equilibrium Models 41

Positive Concave Deep Equilibrium Models

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41st International Conference on Machine Learning, ICML 2024

作者： Gabor, Mateusz Piotrowski, Tomasz Cavalcante, Renato L.G. Faculty of Electronics Photonics and Microsystems Wroclaw University of Science and Technology Wroclaw Poland Faculty of Physics Astronomy and Informatics Nicolaus Copernicus University Toruń Poland Fraunhofer Heinrich Hertz Institute Berlin Germany

Deep equilibrium (DEQ) models are widely recognized as a memory efficient alternative to standard neural networks, achieving state-of-the-art performance in language modeling and computer vision tasks. These models solve a fixed point equation instead of explicitly computing the output, which sets them apart from standard neural networks. However, existing DEQ models often lack formal guarantees of the existence and uniqueness of the fixed point, and the convergence of the numerical scheme used for computing the fixed point is not formally established. As a result, DEQ models are potentially unstable in practice. To address these drawbacks, we introduce a novel class of DEQ models called positive concave deep equilibrium (pcDEQ) models. Our approach, which is based on nonlinear Perron-Frobenius theory, enforces nonnegative weights and activation functions that are concave on the positive orthant. By imposing these constraints, we can easily ensure the existence and uniqueness of the fixed point without relying on additional complex assumptions commonly found in the DEQ literature, such as those based on monotone operator theory in convex analysis. Furthermore, the fixed point can be computed with the standard fixed point algorithm, and we provide theoretical guarantees of its geometric convergence, which, in particular, simplifies the training process. Experiments demonstrate the competitiveness of our pcDEQ models against other implicit models. Copyright 2024 by the author(s)

关键词： Fixed point arithmetic

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