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2023 IEEE International Conference on Big Data, BigData 2023

作者： Hanzel, Krzysztof Grzechca, Damian Ziebinski, Adam Chruszczyk, Lukas Janus, Artur Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Department of Telecommunications and Teleinformatics Gliwice Poland Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Department of Electronics Electrical Engineering and Microelectronics Gliwice Poland Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Department of Distributed Systems and Informatics Devices Gliwice Poland Silesian University of Technology Student of Electrical EngineeringFaculty of Electrical Engineering Gliwice Poland

ISBN: (纸本)9798350324457

The paper describes the energy consumption from the battery based on the current measurements for various cases, i.e., speed (PWL adjustment) and loads. The main purpose of the research is to have additional and reliable information about power consumption and battery life estimation for autonomous guided vehicles (AGV). The authors propose a two-step algorithm. In the first step, a linear classifier was proposed. Then, the KNN classifier was tested;however, it did not give satisfactory results, so it was finally decided to use the random forest to estimate the load and PWL. The time domain current measurement is evaluated, and the beforementioned algorithms process the selected statistical measures. It has been proven that a two-step algorithm allows for achieving high accuracy. Based on the current observation, the paper is a good starting point for further investigation of the AGV because it is usually implemented in the AGV - so it does not require additional hardware. Moreover, it can lead to better energy management and increase battery lifetime. © 2023 IEEE.

关键词： AGV load estimation machine learning Prediction of energy consumption random forest

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Usability Issues With Mobile Applications: Insights From Practitioners and Future Research Directions

arXiv

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arXiv 2025年

作者： Weichbroth, Pawel Gdansk University of Technology Faculty of Electronics Telecommunications and Informatics Department of Software Engineering Gdansk Poland

This study is motivated by two key considerations: the significant benefits mobile applications offer individuals and businesses, and the limited empirical research on usability challenges. To address this gap, we conducted structured interviews with twelve experts to identify common usability issues. Our findings highlight the top five concerns related to: information architecture, user interface design, performance, interaction patterns, and aesthetics. In addition, we identify five key directions for future research: usability in AI-powered mobile applications, augmented reality (AR) and virtual reality (VR), multimodal interactions, personalized mobile ecosystems, and accessibility. Our study provides insights into emerging usability challenges and trends, contributing to both the theory and practice of mobile human-computer interaction. © 2025, CC BY.

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A Markov Model for a Self-Powered Green IoT Device with State-Dependent Energy Consumption

A Markov Model for a Self-Powered Green IoT Device with Stat...

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2023 IEEE International Conference on Communications, Information, Electronic and Energy Systems, CIEES 2023

作者： Kuaban, Godlove Suila Czachorski, Tadeusz Gelenbe, Erol Sharma, Sapana Czekalski, Piotr Gliwice Poland Mmec Maharishi Markandeshwar Department of Mathematics Haryana Mullana133203 India Silesian University of Technology Faculty of Automatic Control Electronics and Informatics Gliwice Poland

ISBN: (纸本)9798350336917

The growing concerns about the resource sustainability and environmental impact of deploying billions or trillions of IoT devices in the various sectors of society or economy have given rise to an energy research field known as Green-IoT (G-IoT). G-IoT emphasises the need to prioritise energy efficiency and the reduction of pollution in the IoT ecosystem. This paper presents a Markov model for a self-powered Green IoT device with state-dependent energy consumption. The model evaluates the energy performance of a self-powered Green IoT device. We derive the probability distribution of the energy content of the battery, including the probability that the energy stored in the battery is completely depleted and the density of the lifetime of the IoT device. We investigate the influence of some design parameters on the results. Introducing the threshold at which the device is forced to enter an energy-saving regime significantly increases a G-IoT device's lifetime. Apart from deploying energy-efficient mechanisms to increase the lifetime of a G-IoT device, integrating an efficient energy harvesting system into the device will increase its lifetime and reduce the frequency of battery replacement. © 2023 IEEE.

关键词： Energy harvesting

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AI and the Law: Evaluating ChatGPT’s Performance in Legal Classification

arXiv

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arXiv 2025年

作者： Weichbroth, Pawel Gdansk University of Technology Faculty of Electronics Telecommunications and Informatics Department of Software Engineering Gdansk Poland

The use of ChatGPT to analyze and classify evidence in criminal proceedings has been a topic of ongoing discussion. However, to the best of our knowledge, this issue has not been studied in the context of the Polish language. This study addresses this research gap by evaluating the effectiveness of ChatGPT in classifying legal cases under the Polish Penal Code. The results show excellent binary classification accuracy, with all positive and negative cases correctly categorized. In addition, a qualitative evaluation confirms that the legal basis provided for each case, along with the relevant legal content, was appropriate. The results obtained suggest that ChatGPT can effectively analyze and classify evidence while applying the appropriate legal rules. In conclusion, ChatGPT has the potential to assist interested parties in the analysis of evidence and serve as a valuable legal resource for individuals with less experience or knowledge in this area. © 2025, CC BY.

关键词： Laws and legislation

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Fluctuation-Enhanced Gas Sensing by Two-Dimensional Materials

Fluctuation-Enhanced Gas Sensing by Two-Dimensional Material...

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IEEE Instrumentation and Measurement Technology Conference

作者： Janusz Smulko Faculty of Electronics Telecommunications and Informatics Gdańsk University of Technology Gdańsk Poland

ISBN: (数字)9798350380903

ISBN: (纸本)9798350380910

The perspectives of gas sensing by flicker noise measurements have been presented for two-dimensional materials characterized by a high surface-to-volume ratio. These materials exhibit a wide range of electrical properties, from almost metallic (e.g., graphene) to semiconducting (e.g., MoS 2 , WS 2 , ZrS 3 , etc.) of various energy bandgaps. Two-dimensional materials exhibit imperfections, partially responsible for the flicker noise generated in their structures. Recent results show how these imperfections can be modulated to advance gas selectivity. Some materials exhibit photocatalytic phenomena induced by irradiation of multiple wavelengths. This effect can adjust the gas sensor to improve its selectivity and sensitivity. Low-frequency noise mechanisms in two-dimensional materials at different operating conditions will be presented, focusing on possible practical applications. The problems of noise measurements will also be enclosed.

关键词： Temperature sensors Temperature Photonic band gap Graphene Iron Sensors 1/f noise

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Detecting Objects of Various Categories in Optical Remote Sensing Imagery Using Neural Networks

Detecting Objects of Various Categories in Optical Remote Se...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Aleksander Madajczak Marcin Ciecholewski Faculty of Electronics Telecommunications and Informatics Gdańsk University of Technology Gdańsk Poland

ISBN: (数字)9798350360325

ISBN: (纸本)9798350360332

The effective detection of objects in remote sensing images is of great research importance, so recent years have seen a significant progress in deep learning techniques in this field. However, despite much valuable research being conducted, many challenges still remain. A lot of research projects focus on detecting objects of a single category (class), while correctly detecting objects of different categories is much harder. The recognition of small and overlapping objects is often very problematic. The highest valued classifiers are universal ones that help accurately detect objects of various categories. This research project compared the efficiency of detecting objects of various categories, such as airports, helicopters, planes, fuel tanks and warships, using various modern neural network architectures in the public remote-sensing dataset for geospatial object detection (RSD-GOD). The results presented in this paper are better than the results of detecting objects of the same categories in the RSD-GOD dataset produced by previous studies.

关键词： YOLO Training Visualization Neural networks Pipelines Optical computing Optical fiber networks

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Correction to: Review of Segmentation Methods for Coastline Detection in SAR Images (Archives of Computational Methods in Engineering, (2024), 31, 2, (839-869), 10.1007/s11831-023-10000-7)

引用

Archives of Computational Methods in Engineering 2024年 1-1页

作者： Ciecholewski, Marcin Department of Geoinformatics Faculty of Electronics Telecommunications and Informatics Gdansk University of Technology Gdansk Poland

Archives of Computational Methods in Engineering (2023) 31:839-869 In this article the author discovered an error that affects the interpretation and conclusion of the article. In order to correct this the numbering of subsection 8.1.3 has been updated. The incorrect numbering on page 14 read "8.1.3 Region Based". Incorrect footnote 2 on page 13 read "Region-based ACM is presented in Subsection 8.1.3". The corrected numbering on page 14 reads "8.2 Region Based". Corrected footnote 2 on page 13 reads "Region-based ACM is presented in Subsection 8.2". The original article has been updated. © The Author(s) 2024.

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RFI measurements at Bosscha observatory to prepare a new VGOS station

RFI measurements at Bosscha observatory to prepare a new VGO...

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2023 International Symposium From the Universe Back to Earth: Developing Astronomy to Meet Today's Natural Challenges

作者： Ramadhan, S. Hidayat, T. Suryana, J. Romadhoni, A. Kurniasari, M. Bosscha Observatory Faculty of Mathematics and Natural Sciences Institut Teknologi Bandung Indonesia Astronomy Study Program Faculty of Mathematics and Natural Sciences Institut Teknologi Bandung Indonesia Laboratory of Radio and Microwave Telecommunication School of Electronics and Informatics Engineering Institut Teknologi Bandung Indonesia

A new VGOS (VLBI Global Observing System) radio telescope will be constructed at Bosscha Observatory Lembang, West Java, in cooperation between Shanghai Astronomical Observatory (SHAO) and Institut Teknologi Bandung. One of the preparation steps is to conduct RFI (Radio Frequency Interference) measurements to obtain the RFI environment from the vicinity of the observatory. In this work, we report preliminary measurements of the RFIs that were done for several days in August and September 2023. Instruments used includes: A-INFOTM LB-20180 horn antenna, Wright TechnologiesTM low noise amplifier, and AaroniaTM Spectran V5 80200 OEM spectrum analyzer. The frequency range of 2.0 - 18.0 GHz is targeted referring to VGOS frequencies. Measurements in one day are carried out for about 24 hours in eight cardinal directions and two polarizations. The results and analysis are presented in spectral power flux density plots. © Published under licence by IOP Publishing Ltd.

关键词： Observatories

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Development of Automotive-mobility Training in the TRIREME project 30

Development of Automotive-mobility Training in the TRIREME p...

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

作者： Medgyes, Balint Farkas, Csaba Spanyik, Marek Danieli, Stefano Cantiani, Elena Stolfa, Jakub Budapest University of Technology and Economics Faculty of Electrical Engineering and Informatics Department of Electronics Technology Budapest Hungary VSB-Technical University of Ostrava Faculty of Electrical Engineering and Computer Science Department of Computer Science Ostrava Czech Republic Mylia-Adecco Formazione Milan Italy

ISBN: (纸本)9798331539511

To achieve climate neutrality by 2050, the consistent transformation of the mobility sector is one of the most important pillars of the European Green deal. As a result of green and sustainable approaches, novel automotive concepts and massive digitalisation in the mobility ecosystem is undergoing a continuous development towards eco-friendly solutions and novel business models, and the changing landscape of automotive industry comes with a significant social impact as well. The overall horizontal collaboration on skills agenda in the Automotive-Mobility Ecosystem is assured throughout the Automotive Skills Alliance (ASA) [1], which is the Large-scale Pact for Skills Partnership. The latest strategic project of the partnership to support its activities is the Digital & Green Skills Towards Future of the Mobility Ecosystem (TRIREME) which promotes a collaboration between industry stakeholders and training providers including Vocational education Trainings (VETs), Higher Educations (HEs) and universities), moreover, also emphasizing the widespread public representation of different project segments and evaluating the social impacts and regional impact of the changes in the Automotive-Mobility Ecosystem. In parallel to the development of sectoral skills strategy, our department (Department of electronics Technology-ETT) is contributing to deliver specific training materials and courses within Work Package 4 (WP4), which is based on the gathered and processed intelligence from previous desk research, survey activity and participation in professional events. The methodology of course development relies on the concept of modularity, our professional competences in the field of Automotive-mobility, and the fulfillment of requirements to cover the needed skills, the competence and the occupational profile subsets. © 2024 IEEE.

关键词： Automotive Mobility Modular Courses Skills Training Development

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Development and Characterization of Sn99Ag0.3Cu0.7-(ZrO2/CuO/TiO2) Nano-Composite Solder Alloys

Development and Characterization of Sn99Ag0.3Cu0.7-(ZrO2/CuO...

引用

2024 Pan Pacific Strategic electronics Symposium, Pan Pacific 2024

作者： Illes, Balazs Choi, Halim Illes, Balazs Skwarek, Agata Budapest University of Technology and Economics Faculty of Electrical Engineering and Informatics Department of Electronics Technology Budapest Hungary Lukasiewicz Research Network Institute of Microelectronics and Photonics LTCC Technology Research Group Kraków Poland

ISBN: (纸本)9781944543204

The 'lead-free' change in the soldering technology caused the widespread application of the SnAgCu (SAC) solder alloys. The so-called low Ag content ones, like Sn99Ag0.3Cu0.7 (SAC0307) and Sn98.5Ag1Cu0.5 (SAC105), are more and more popular recently due to their good price and thermo-mechanical properties. The most novel solution to further improve the solder alloys' properties is adding nano-sized ceramic reinforcement particles into the solder alloys. This procedure results in, nano-composite'' solder joints. A wide range of ceramic nano-particles (NPs) was already tested, like Fe2O3, TiO2, Si3Ni4, ZrO2, Al2O3, SiC, La2O3, etc. The reinforcement particles improve the solder joints' mechanical properties (shear force, yield strength, microhardness, etc.), with some Kelvin of increase in the liquidus-Temperature of the alloy. It is generally accepted that mechanical improvement is caused by dispersion-strengthening mechanisms. The ceramic nano-particles are not soluble in the Sn, so they incorporate at the intermetallic (Cu6Sn5, CU3Sn, and Ag3Sn) grains and at the Sn grain boundaries, where they enhance heterogeneous nucleation. This effect suppresses the grain growth (all phases) and decreases dislocation motions. In the present study, the effect of three oxide ceramics (TiO2, ZrO2, and CuO) as reinforcements in 0.25wt% weight fraction was investigated on the quality and reliability of the composite SAC0307 solder alloy. The primary particle size of NPs was between 20-100nm. The NPs were mixed into the solder paste. Standard spread tests of the different alloys were done on FR4 laminates covered by Cu foil and imm-Ag surface finishing over on it. Solder joints were prepared from the alloys and 0603 chip resistors by convectional surface mounting technology on FR4-based printed circuit boards with imm-Ag surface finish. The shear strength of the chip resistors was measured. The solder joints were loaded with 4000 hours 85°C/85RH% climatic test to investigate their co

关键词： Titanium dioxide

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