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2023 International Symposium on Electromagnetic Compatibility - EMC Europe, EMC Europe 2023

作者： Pinter, Balint Bingler, Arnold Csornyei, Mark Budapest University of Technology and Economics Faculty of Electrical Engineering and Informatics Department of Broadband Infocommunications and Electromagnetic Theory Budapest1111 Hungary Powertrain Solution-Power Electronics Robert Bosch Kft. Budapest1103 Hungary

ISBN: (纸本)9798350324006

The aim of this paper is to improve the circuit modeling of electromagnetic interference (EMI) filters by taking into account near-field inductive couplings using additional 3D modeling. In this work a method is described with which the equivalent circuit model of an EMI filter - given its components have already been selected - can be specified using measurement setups, where only an impedance analyzer is *** is also demonstrated, how the couplings between the components (mainly mutual inductances) are extracted from 3D electromagnetic simulations. Furthermore, the additional couplings caused by the leads and wires are also considered in the model. This technique can be utilized to tune the circuit model of the filter for the changing topology, which is a common problem, for instance in the automotive industry. © 2023 IEEE.

关键词： Electromagnetic simulation

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Lateral window technique: A focus review

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Oral Surgery 2022年第3期15卷 421-430页

作者： Correia, Francisco Gouveia, Sónia Pozza, Daniel H. Campos Felino, António Faria-Almeida, Ricardo Faculty of Dental Medicine Department of Oral Surgery and Periodontology University of Porto Porto Portugal Department of Electronics Telecommunications and Informatics (DETI) Institute of Electronics and Informatics Engineering of Aveiro (IEETA) University of Aveiro Aveiro Portugal Faculty of Medicine Department of Biomedicine University of Porto Porto Portugal Faculty of Nutrition and Food Sciences Department of Histology University of Porto Porto Portugal Institute for Research and Innovation in Health - I3s University of Porto Porto Portugal

The posterior alveolar bone region of the maxilla has, in more than 40% of the cases, a height inferior to 4 mm, thus making rehabilitation with implants a clinical challenge. This focus literature review was carried out through an exhaustive literature search in PubMed, ScienceDirect, LILACS, Web of Science, Scielo and Cochrane Library. The aim was to illustrate and analyse various factors that should be accounted for while applying the maxillary sinus elevation technique. The lateral osteotomy technique is carefully described including its indications, complications, contraindications, as well as, different factors to take into account, such as the use of electric piezo, graft materials, membranes and the expected success rates. © 2021 The British Association of Oral Surgeons and John Wiley & Sons Ltd.

关键词： bone regeneration bone substitutes maxillary sinus sinus augmentation sinus floor elevation sinus lift

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Comparison of Two 3D Printing Technologies for Microfluidic Applications 46

Comparison of Two 3D Printing Technologies for Microfluidic ...

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46th International Spring Seminar on electronics Technology, ISSE 2023

作者： Borók, Alexandra Kovágó, Lili Mária Bonyár, Attila Budapest University of Technology and Economics Faculty of Electrical Engineering and Informatics Department of Electronics Technology Budapest Hungary Institute for Solid State Physics and Optics Wigner Research Centre for Physics The Hungarian Academy of Sciences Budapest Hungary

ISBN: (纸本)9798350334845

In this work, a 3D model was designed that has the negative of several widely used microfluidic mixers and channel patterns, and which could be used to cast polymers, e.g. PDMS (polydimethylsiloxane). This model was printed by using two of the most common 3D printing technologies, namely fused deposition modeling (FDM) and stereolithography (SLA), and the precision of the fabricated models was measured and compared in order to find out which printing technology could be applied more effectively for microfluidic applications. © 2023 IEEE.

关键词： Microfluidics

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Finite Element Investigation of the Plasmonic Properties of Hexagonally Arranged Gold Nanoparticles 46

Finite Element Investigation of the Plasmonic Properties of ...

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46th International Spring Seminar on electronics Technology, ISSE 2023

作者： Kovács, Rebeka Bonyár, Attila Budapest University of Technology and Economics Faculty of Electrical Engineering and Informatics Department of Electronics Technology Budapest Hungary Institute for Solid State Physics and Optics Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary

ISBN: (纸本)9798350334845

In this work, a localized surface plasmon resonance (LSPR) sensor based on hexagonally arranged ellipsoidal gold nanoparticles is designed and investigated by finite element method (FEM) via COMSOL Multiphysics. The wave optics module was used to investigate the relationship between the geometrical properties of the nanoparticle arrangement and their refractive index sensitivity. Three different particle arrangements with different interparticle distances between the hexagonally arranged ellipsoidal nanoparticles were investigated, all with periodic and nonperiodic boundary conditions as well. The latter results were compared with boundary element method (BEM) simulations, performed with the MNPBEM Matlab Toolbox. Although the FEM and BEM approaches resulted in well-comparable extinction spectra and bulk refractive index sensitivity values for the non-periodic conditions, applying periodic boundary conditions in the FEM model resulted in consistently lower sensitivities for the investigated arrangements. © 2023 IEEE.

关键词： Boundary element method

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EMG Data Collection for Multimodal Keystroke Analysis 12

EMG Data Collection for Multimodal Keystroke Analysis

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12th International Conference on Advanced Computer Information Technologies, ACIT 2022

作者： Korecko, Stefan Haluska, Matus Pleva, Matus Skudal, Markus Hoff Bours, Patrick Technical University of Kosice Faculty of Electrical Engineering and Informatics Department of Computers and Informatics Kosice Slovakia Technical University of Kosice Faculty of Electrical Engineering and Informatics Department of Electronics and Multimedia Communications Kosice Slovakia Norwegian University of Scence and Technology Faculty of Economics and Management Department of Industrial Economics and Technology Management Trondheim Norway Norwegian University of Science and Technology Faculty of Information Technology and Electrical Engineering Department of Information Security and Communication Technology Gjovik Norway

ISBN: (数字)9781665410502

ISBN: (纸本)9781665466479

User authentication based on muscle tension manifested during password typing seems to be an interesting additional layer of security. It represents another way of verifying a person's identity, for example in the context of continuous verification. In order to explore the possibilities of such authentication method, it was necessary to create a capturing software that records and stores data from EMG (electromyography) sensors, enabling a subsequent analysis of the recorded data to verify the relevance of the method. The work presented here is devoted to the design, implementation and evaluation of such a solution. The solution consists of a protocol and a software application for collecting multimodal data when typing on a keyboard. Myo armbands on both forearms are used to capture EMG and inertial data while additional modalities are collected from a keyboard and a camera. The user experience evaluation of the solution is presented, too. © 2022 IEEE.

关键词： Application programs

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High-Performance Flow Classification of Big Data Using Hybrid CPU-GPU Clusters of Cloud Environments

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Tsinghua Science and Technology 2024年第4期29卷 1118-1137页

作者： Azam Fazel-Najafabadi Mahdi Abbasi Hani H.Attar Ayman Amer Amir Taherkordi Azad Shokrollahi Mohammad R.Khosravi Ahmed A.Solyman Department of Computer Engineering Faculty of EngineeringBu-Ali Sina UniversityHamedan ***Iran Department of Energy Engineering Zarqa UniversityZarqa 13132Jordan Department of Informatics University of OsloOslo 0316Norway Department of Computer Science MalmöUniversityMalmö20506Sweden Shandong Provincial University Laboratory for Protected Horticulture Weifang University of Science and TechnologyWeifang 261100China Department of Electrical and Electronics Engineering NişantaşıUniversityIstanbul 34481742Türkiye

The network switches in the data plane of Software Defined Networking (SDN) are empowered by an elementary process, in which enormous number of packets which resemble big volumes of data are classified into specific flows by matching them against a set of dynamic rules. This basic process accelerates the processing of data, so that instead of processing singular packets repeatedly, corresponding actions are performed on corresponding flows of packets. In this paper, first, we address limitations on a typical packet classification algorithm like Tuple Space Search (TSS). Then, we present a set of different scenarios to parallelize it on different parallel processing platforms, including Graphics Processing Units (GPUs), clusters of Central Processing Units (CPUs), and hybrid clusters. Experimental results show that the hybrid cluster provides the best platform for parallelizing packet classification algorithms, which promises the average throughput rate of 4.2 Million packets per second (Mpps). That is, the hybrid cluster produced by the integration of Compute Unified Device Architecture (CUDA), Message Passing Interface (MPI), and OpenMP programming model could classify 0.24 million packets per second more than the GPU cluster scheme. Such a packet classifier satisfies the required processing speed in the programmable network systems that would be used to communicate big medical data.

关键词： OpenMP Compute Unified Device Architecture(CUDA) Message Passing Interface(MPI) packet classification medical data tuple space algorithm Graphics Processing Unit(GPU)cluster

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Urban Scene Semantic Segmentation Using the U-Net Model

Urban Scene Semantic Segmentation Using the U-Net Model

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Federated Conference on Computer Science and Information Systems (FedCSIS)

作者： Marcin Ciecholewski Department of Geoinformatics Faculty of Electronics Telecommunication and Informatics Gdańsk University of Technology Gdansk Poland

Vision-based semantic segmentation of complex urban street scenes is a very important function during autonomous driving (AD), which will become an important technology in industrialized countries in the near future. Today, advanced driver assistance systems (ADAS) improve traffic safety thanks to the application of solutions that enable detecting objects, recognising road signs, segmenting the road, etc. The basis for these functionalities is the adoption of various classifiers. This publication presents solutions utilising convolutional neural networks, such as MobileNet and ResNet50, which were used as encoders in the U-Net model to semantically segment images of complex urban scenes taken from the publicly available Cityscapes dataset. Some modifications of the encoder/decoder architecture of the U-Net model were also proposed and the result was named the MU-Net. During tests carried out on 500 images, the MU-Net model produced slightly better segmentation results than the universal MobileNet and ResNet networks, as measured by the Jaccard index, which amounted to 88.85%. The experiments showed that the MobileNet network had the best ratio of accuracy to the number of parameters used and at the same time was the least sensitive to unusual phenomena occurring in images.

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Multimodal camera for pedestrian detection with deep learning models

Multimodal camera for pedestrian detection with deep learnin...

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IEEE International Conference on Industrial Technology (ICIT)

作者： Adam Dradrach Jakub Konert Jacek Ruminski Department of Biomedical Engineering Faculty of Electronics Telecommunications and Informatics Gdansk University of Technology Gdansk Poland

Road deaths are still alarmingly high. It also ranks first regarding causes of death unrelated to pre-existing health status. More than half of all road traffic deaths occur among vulnerable road users like pedestrians. The main purpose of the work was to design, implement, and evaluate pedestrian detection methods using multimodal imaging and machine learning meth-ods. Two cameras were co-calibrated using a specially designed reference chessboard. The method of superimposing multimodal images using thermal and RGB data was proposed to produce the final images. New datasets consisting of 8000 multimodal images were collected in good and limited visibility. The adapted YOLO models, which included edge device variants for TFLite, were proposed to detect pedestrians in a new representation of multimodal data. The models were trained to optimize the detection accuracy and speed performance for mobile devices compared to desktop computers in different lighting conditions. The best results obtained in tests for a subset of images related to good visibility were achieved by the adapted YOLOv5s model, reaching mAP:0.5 of 96.5% for CUDA architecture and 93.4% for edge devices. The same model achieved 87.8% and 86.8% for limited visibility. In both cases, the frame rate was approximately 7 FPS. The methods could be further improved for practical application in traditional or semi-autonomous car systems, drones, security cameras, etc.

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Machine Learning-Based Antenna Optimization with Multi-Fidelity EM Analysis and Dimensionality Reduction by Global Sensitivity Analysis

Machine Learning-Based Antenna Optimization with Multi-Fidel...

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European Conference on Antennas and Propagation, EuCAP

作者： Anna Pietrenko-Dabrowska Slawomir Koziel Faculty of Electronics Telecommunications and Informatics Gdansk University of Technology Gdansk Poland Engineering Optimization & Modeling Center Reykjavik University Reykjavik Iceland

ISBN: (数字)9788831299107

ISBN: (纸本)9798350366327

This work introduces a novel technique for cost-efficient antenna optimization. Our approach employs computational intelligence tools, including machine learning (ML) and bio-inspired algorithms. The ML process is conducted within a dimensionality-constrained parameter space established through global sensitivity analysis (GSA). The underlying surrogate model is kriging interpolation, whereas candidate designs are generated using the particle swarm optimizer (PSO). Further enhancement of the computational efficacy is obtained by employing multi-fidelity electromagnetic (EM) models, with majority of operations executed at low-fidelity antenna representation and final (gradient-based) tuning performed using the high-fidelity model. Extensive numerical experiments demonstrate the superiority of the introduced approach over several benchmark procedures regarding reliability, computational efficiency, and repeatability of results.

关键词： Machine learning algorithms Sensitivity analysis Computational modeling Biological system modeling Benchmark testing Numerical models Reliability Antennas Optimization Tuning

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Flexible Pyralux Based Ultra-Wideband Patch Antenna

Flexible Pyralux Based Ultra-Wideband Patch Antenna

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International Spring Seminar on electronics Technology

作者： Peter Lukacs Igor Vehec Peter Provazek Tomas Lenger Stefan Chmelicky Department of Technologies in Electronics Faculty of Electrical Engineering and Informatics Technical University of Kosice Kosice Slovakia

This paper describes the design, simulation, and fabrication of an ultra-wideband (UWB) antenna. A single-sided copper-clad laminate Pyralux with a copper layer’s thickness of 70 μm was used for these reasons. For the fabrication of the antenna, a conventional copper layer etching technique using hydrochloric acid was chosen. Using Ansys HFSS simulation software, the antenna was designed and simulated. The realized UWB antenna has a bandwidth of more than 11 GHz, from 1 GHz to 12 GHz, which exceeds the bandwidth of conventional antennas on rigid substrates. The impedance of the antenna’s feeding element is matched to 50 Ω. The SMA connector was soldered with hot air and SAC solder paste to the feeding element and ground patch. The scattering parameter of the produced antenna was measured with the Agilent N5421A PNA network analyzer at room temperature. The designed and realized antenna using the standard etching technique and Pyralux foil provides a cost-effective solution for the mass production of antennas while maintaining the antenna’s required characteristics.

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