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arXiv 2023年

作者： Cychnerski, Jan Mróz, Bartlomiej Faculty of Electronics Telecommunications and Informatics Gdańsk University of Technology Poland

This paper describes an architecture design process for Networked Music Performance (NMP) platform for medium-sized conducted music ensembles, based on remote rehearsals of Academic Choir of Gdańsk University of Technology. The issues of real-time remote communication, in-person music performance, and NMP are described. Three iterative steps defining and extending the architecture of the NMP platform with additional features to enhance its utility in remote rehearsals are presented. The first iteration uses a regular video conferencing platform, the second iteration uses dedicated NMP devices and tools, and the third iteration adds video transmission and utilizes professional low-latency audio and video workstations. For each iteration, the platform architecture is defined and deployed with simultaneous usability tests. Its strengths and weaknesses are identified through qualitative and quantitative measurements - statistical analysis shows a significant improvement in rehearsal quality after each iteration. The final optimal architecture is described and concluded with guidelines for creating NMP systems for said music ensembles. © 2023, CC BY-SA.

关键词： Real time systems

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Evaluation of ChatGPT Applicability to Learning Quantum Physics

Evaluation of ChatGPT Applicability to Learning Quantum Phys...

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International Conference on Signal Processing and Communication Systems, ICSPCS

作者： Agata Stefańska Tomasz P. Stefański Michał Czubenko Faculty of Electronics Telecommunications and Informatics Gdansk University of Technology Gdansk Poland

ChatGPT is an application that uses a large language model. Its purpose is to generate answers to various questions as well as provide information, help solve problems and participate in conversations on a wide range of topics. This application is also widely used by students for the purposes of learning or cheating (e.g., writing essays or programming codes). Therefore, in this contribution, we evaluate the ability of ChatGPT to answer questions in quantum physics. That is, we develop a benchmark consisting of ten questions, whose difficulty is measured on a ten-grade scale. Then ChatGPT answers are evaluated and discussed. In this way, we can measure how well quantum-physics information is processed by this application. Our results demonstrate that ChatGPT does not notice subtle differences between physical terms, and can provide wrong answers to quantum-physics-related questions. It can also provide false mathematical formulas, claim that they are correct and confirm its answers. Note that this AI application is not sure of its answers, and in seven cases it apologizes for the first answer when a user has negated it. To sum up, AI represented by ChatGPT is only able to support students in the process of learning quantum physics at the fundamental level. Moreover, during collective exams in the future, where cheating and the use of AI by students may occur, exam questions should not be descriptive, but should be focused on solving computational problems.

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Comparative Analysis of Intrusion Detection Systems and Neural Networks for Anomaly Detection in Network Security

Comparative Analysis of Intrusion Detection Systems and Neur...

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International Conference on Emerging eLearning Technologies and Applications (ICETA)

作者： Jozef Badár Ján Papaj Martin Chovanec Matúš Cavojský Department of Electronics and Multimedia Telecommunications Department of Computers and Informatics Faculty of Electrical Engineering and Informatics Technical University of Košice Košice Slovakia

ISBN: (数字)9798331527716

ISBN: (纸本)9798331527723

The aim of this work is to compare the effectiveness of neural networks, specifically autoencoders, with traditional IDS/IPS systems, particularly the Suricata tool, in detecting security anomalies in the network. We analyze their functionality, adaptability, and ability to detect and respond to various security threats. We propose and test an experimental neural network architecture on selected data to evaluate their performance. Our focus is on the accuracy and efficiency of anomaly detection, highlighting key benefits and challenges in integrating machine learning into network security systems.

关键词： Electronic learning Accuracy Neural networks Autoencoders Intrusion detection Machine learning Network security Anomaly detection

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Mobile Educational Application for Keystroke Dynamics Identification Systems 21

Mobile Educational Application for Keystroke Dynamics Identi...

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

作者： Haluska, Renat Molcanyi, Dominik Pleva, Matus Hladek, Daniel Stas, Jan Su, Ming-Hsian Liao, Yuan-Fu Technical University of Košice Faculty of Electrical Engineering and Informatics Department of Electronics and Multimedia Communications Slovakia Soochow University Taiwan National Yang Ming Chiao Tung University Taiwan

ISBN: (纸本)9798350370690

This paper describes a chosen biometric method used in biometric systems to identify the user during online education interaction. The current demo page of the system is text-dependent, and it is planned to improve the identification and authentication mechanism to support continuous authentication and be able to detect cheating during online written exams. The article describes the keystroke dynamics method and informs the reader of current trends using this method and the implementation of keystroke dynamics within a web application used in an educational biometrics class. © 2023 IEEE.

关键词： Biometrics

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Low-Cost Open-Hardware System for Measurements of Antenna Far-Field Characteristics in Non-Anechoic Environments

Low-Cost Open-Hardware System for Measurements of Antenna Fa...

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International Conference on Radioelektronika

作者： Jan Olencki Vorya Waladi Adrian Bekasiewicz Faculty of Electronics Telecommunications and Informatics Gdansk University of Technology Gdansk Poland

Experimental validation belongs to the most important steps in the development of antenna structures. Measurements are normally performed in expensive, dedicated facilities such as anechoic chambers, or open-test sites. A high cost of their construction might not be justified when the main goal of antenna verification boils down to demonstration of the measurement procedure, or rough validation of the simulation models used for the development of the structure. Although solutions for far-field measurement of antennas in nonanechoic environments have been demonstrated in the literature, they utilize expensive equipment. In this work, a low-cost (around 3300 USD), system for experimental validation of antenna prototypes in non-anechoic conditions has been discussed. Its main components include the in-house developed heads and an open-hardware-based vector network analyzer. Performance of the system has been demonstrated using two antenna structures for which radiation patterns have been obtained. Comparisons against measurements performed in the anechoic chamber and using other expensive equipment have also been provided.

关键词： Antenna measurements Radio frequency Anechoic chambers Costs Gears Prototypes Network analyzers

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User Recognition in Mobile Applications Using Fingerprint Sensors 21

User Recognition in Mobile Applications Using Fingerprint Se...

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

作者： Haluska, Renat Svenk, Erik Pleva, Matus Ondas, Stanislav Su, Ming-Hsian Liao, Yuan-Fu Technical University of Košice Faculty of Electrical Engineering and Informatics Department of Electronics and Multimedia Communications Slovakia Soochow University Taiwan National Yang Ming Chiao Tung University Taiwan

ISBN: (纸本)9798350370690

With the widespread adoption of smartphones and the increasing need for secure and personalized user experiences, user recognition has become a crucial aspect of mobile application development. In remote audiometry mobile applications, it is requested to have a quick user identification or authentication feature for protecting the medical private data. Fingerprint sensors, now commonly integrated into mobile devices, offer a convenient and reliable biometric authentication method. This paper explores using full-sized external fingerprint sensors for user recognition in mobile applications. We discuss the underlying technology of fingerprint sensors, their integration into mobile devices, and the various algorithms and techniques used for user recognition. We also present a case study where we develop a mobile application that utilizes fingerprint sensors for user authentication and discuss the performance and usability of the system. © 2023 IEEE.

关键词： Biometrics

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Comparison of Nanocomposites based on PDMS and Conductive Nanomaterials for the realization of Supercapacitors 46

Comparison of Nanocomposites based on PDMS and Conductive Na...

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46th International Spring Seminar on electronics Technology, ISSE 2023

作者： Burcea, Irina Madalina Negroiu, Rodica Bonyár, Attila Huszánk, Róbert Ionescu, Ciprian Marghescu, Cristina Svasta, Paul University Politehnica of Bucharest Centre of Technological Electronics and Interconnection Techniques Romania Budapest University of Technology and Economics Faculty of Electrical Engineering and Informatics Department of Electronics Technology Budapest Hungary Institute for Nuclear Research Hungarian Academy of Sciences Debrecen Hungary

ISBN: (纸本)9798350334845

In recent times, the use of portable devices has gained widespread popularity, but one of the problems that arises in the development of these devices is their power supply source, which should be portable and, in most cases, made of flexible materials. Thus, this work aims to develop and study in detail materials based on polydimethylsiloxane (PDMS) and active conductive nanomaterials for the realization of supercapacitor electrodes. As a result, we aim to develop a series of PDMS-nanocomposites, such as carbon black, activated carbon, carbon nanotubes (CNTs), graphene in different ratios. We want to identify the variant with the best electrical conductivity, temperature variation, active surface area and flexibility after testing and interpreting the experimental data. Subsequently, the composite material with the best capabilities will be incorporated into the structure of a supercapacitor and will represent the material for the electrode development. © 2023 IEEE.

关键词： Carbon black

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Optical Properties of Thin Tungsten Films 26

Optical Properties of Thin Tungsten Films

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26th International Conference on Circuits, Systems, Communications and Computers, CSCC 2022

作者： Martinek, Tomas Tomas Bata University in Zlín Faculty of Applied Informatics Dept. of Electronics and Measurements Zlín Czech Republic

ISBN: (纸本)9781665481861

In this work optical properties of thin tungsten films deposited by radiofrequency magnetron sputtering close to insulator-conductor transition were investigated for their potential use in optoelectronics. These films were deposited on a V1 mica substrate. An atomic force microscopy topographical maps, optical absorbance measured on a spectrophotometer, and optical transmittance results were reported. © 2022 IEEE.

关键词： Absorbance

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Collaborative learning-based inter-dependent task dispatching and co-location in an integrated edge computing system

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Digital Communications and Networks 2024年第6期10卷 1837-1850页

作者： Uchechukwu Awada Jiankang Zhang Sheng Chen Shuangzhi Li Shouyi Yang School of Software Henan Institute of Science and TechnologyXinxiang 453003China School of Electrical and Information Engineering Zhengzhou UniversityZhengzhou 450001China Department of Computing and Informatics Bournemouth UniversityPoole BH125BBUK School of Electronics and Computer Science University of SouthamptonSouthampton SO171BJUK Faculty of Information Science and Engineering Ocean University of ChinaQingdao 266100China

Recently,several edge deployment types,such as on-premise edge clusters,Unmanned Aerial Vehicles(UAV)-attached edge devices,telecommunication base stations installed with edge clusters,etc.,are being deployed to enable faster response time for latency-sensitive *** fundamental problem is where and how to offload and schedule multi-dependent tasks so as to minimize their collective execution time and to achieve high resource *** approaches randomly dispatch tasks naively to available edge nodes without considering the resource demands of tasks,inter-dependencies of tasks and edge resource *** approaches can result in the longer waiting time for tasks due to insufficient resource availability or dependency support,as well as provider ***,we present Edge Colla,which is based on the integration of edge resources running across multi-edge *** Colla leverages learning techniques to intelligently dispatch multidependent tasks,and a variant bin-packing optimization method to co-locate these tasks firmly on available nodes to optimally utilize *** experiments on real-world datasets from Alibaba on task dependencies show that our approach can achieve optimal performance than the baseline schemes.

关键词： Edge computing Collaborative learning Resource utilization Execution time Edge federation Gang scheduling

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Reinforcement Learning at Design of Electronic Circuits: Review and Analysis 22

Reinforcement Learning at Design of Electronic Circuits: Rev...

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Proceedings of the 2022 5th Artificial Intelligence and Cloud Computing Conference

作者： Malinka Ivanova Anna Rozeva Angel Ninov Miona Andrejevic Stosovic Department of Informatics Faculty of Applied Mathematics and Informatics Technical University of Sofia Bulgaria Department of Electronics Faculty of Electronic Engineering University of Nis Serbia

ISBN: (纸本)9781450398749

Electronic circuit design is a complex, complicated and iterative process, aiming to produce a suitable topology and output parameters considering a predefined specification. The designer has to consider a wide variety of possible choices to obtain the optimal circuit solution. Once the circuit is created, the designer has to figure out the floor plan of its blocks, the placing and wiring/routing the components on printed circuit board (PCB) or on chip by avoiding collisions and taking into account various constraints. Such a repetitive process without automated steps is time, effort and resources consuming. This is the reason for the recent research interest in applying new techniques and methods supporting decision making as reinforcement learning (RL) and deep reinforcement learning (deep RL). Thus, the aim of the current investigation is to summarize and analyze contemporary scientific achievements regarding the benefits of implementing RL and deep RL in the electronic circuit design process and highlighting emerging trends and future research directions.

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