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arXiv 2020年

作者： Kästner, Linh Ahmadi, Samim Jonietz, Florian Ziegler, Mathias Jung, Peter Caire, Giuseppe Lambrecht, Jens Chair Industry Grade Networks and Clouds Faculty of Electrical Engineering and Computer Science Berlin Institute of Technology Berlin Germany Bundesanstalt für Materialforschung Berlin Germany Chair Communication and Information Theory Berlin Institute of Technology Berlin Germany

Spot welding is a crucial process step in various industries. However, classification of spot welding quality is still a tedious process due to the complexity and sensitivity of the test material, which drain conventional approaches to its limits. In this paper, we propose an approach for quality inspection of spot weldings using images from laser thermography data. We propose data preparation approaches based on the underlying physics of spot welded joints, heated with pulsed laser thermography by analyzing the intensity over time and derive dedicated data filters to generate training datasets. Subsequently, we utilize convolutional neural networks to classify weld quality and compare the performance of different models against each other. We achieve competitive results in terms of classifying the different welding quality classes compared to traditional approaches, reaching an accuracy of more than 95 percent. Finally, we explore the effect of different augmentation methods. Copyright © 2020, The Authors. All rights reserved.

关键词： Spot welding

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Detection of Unoccupied Areas of the Road in Images from Mono Camera with Use of Multilevel Image Decomposition

Detection of Unoccupied Areas of the Road in Images from Mon...

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International Conference on Mixed Design of Integrated Circuits and Systems (MIXDES)

作者： Piotr Bogacki Zofia Długosz Marzena Banach Tomasz Talaska Rafał Długosz Aptiv Services Poland Kraków Poland Faculty of Telecommunication Computer Science and Electrical Engineering Bydgoszcz University of Science and Technology Bydgoszcz Poland Institute of Architecture and Spatial Planning Poznan University of Technology Poznań Poland

The problem of detecting not occupied areas of the road is useful in many ADAS functions that include Lane Departure Warning (LDW), Lateral Control (LC), Adaptive Cruise Control (ACC). The problem may be in general defined as the ability to distinguish such areas from those that are occupied by other traffic members. The objective here is to provide data useful, for example, in planning vehicle's maneuvers. In this work, we propose a solution that supports the recognition of such areas. The proposed method is based on a procedure similar to the one used in Discrete Wavelet Transform (DWT) used in image decomposition. One of the introduced modifications relies on using simpler filters, whose structure facilitates their hardware implementation.

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A Comprehensive Review on Big Data Challenges 2

A Comprehensive Review on Big Data Challenges

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2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023

作者： Bharany, Salil Taleb, Nasser Sadiq, M. Tariq Kanwal, Nayab Abdelhakim, Mohamed Ghazal, Taher M. Pradhan, Manas Rehman, Ateeq Ur Tech Amritsar India CET Department United Kingdom Canadian University Dubai Faculty of Management Dubai United Arab Emirates University of Brighton School of Architecture Engineering United Kingdom NCBA&E School of Computer Science Lahore Pakistan Applied Science Private University Applied Science Research Center Amman11937 Jordan University of Dubai College of Engineering and IT United Arab Emirates Skyline University College School of Information Technology Sharjah United Arab Emirates Department of Electrical Engineering GCU Lahore Pakistan

ISBN: (纸本)9798350335644

Increased hardware capability has allowed many businesses to store massive amounts of data in the previous few years. Streams of data may go on forever, so they are used in so many different applications. Analyzing and querying these streams is challenging for a stream of dynamic information. The term "big data"refers to a collection of methods and tools that must be combined in novel ways to unearth the vast amounts of previously unseen information buried within vast, diverse, and intricate databases. There are several ways to obtain, organize and analyze data in the big data world. In order to deal with streaming data, efficient data mining procedures must be in place. In this article, we examine a variety of Big Data-related concerns and challenges. This paper introduces the features, and challenges of managing big data. © 2023 IEEE.

关键词： Big data

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Solutions for Creating Virtual Tracks for Autonomous Vehicles, Based on Vehicle-to-Infrastructure Technology

Solutions for Creating Virtual Tracks for Autonomous Vehicle...

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International Conference on Mixed Design of Integrated Circuits and Systems (MIXDES)

作者： Marzena Banach Piotr Bogacki Zofia Długosz Tomasz Talaska Rafał Długosz Institute of Architecture and Spatial Planning Poznan University of Technology Poznan Poland Aptiv Services Poland Kraków Poland Faculty of Telecommunication Computer Science and Electrical Engineering Bydgoszcz University of Science and Technology Bydgoszcz Poland

In this work, we propose a solution in which vehicle-to-infrastructure (V2I) technology could be used to provide virtual regular tracks, which would allow the vehicle to be kept on a specific lane with a specific accuracy for a longer stretch of road or in specific points/areas, e.g. in cities, at intersections or roundabouts. The proposed methods may in the future support selected functions belonging to advanced driver assistance system (ADAS), the operation of which requires precise determination of the position of the vehicle on the road. In this work, we focus on solutions that can be cheap to produce, assemble the elements of the system, and then maintain it in operation. One of the key aspects is to achieve small sizes and low energy consumption of the wireless sensors which will form the basis of its operation. The solutions proposed in this work can be treated as theoretical considerations, as so far there is no global V2I system in which they could be fully verified.

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An Analytical Study on Functional Split in Martian 3D Networks

arXiv

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arXiv 2022年

作者： Bonafini, Stefano Sacchi, Claudio Bassoli, Riccardo Granelli, Fabrizio Kondepu, Koteswararao Fitzek, Frank H.P. University of Trento Trento Italy The Department of Computer Science and Engineering Indian Institute of Technology Dharwad Dharwad India The Deutsche Telekom Chair of Communication Networks Institute of Communication Technology Faculty of Electrical and Computer Engineering Technische Universität Dresden Dresden Germany Cluster of Excellence Dresden Germany

As space agencies are planning manned missions to reach Mars, researchers need to pave the way for supporting astronauts during their sojourn. This will also be achieved by providing broadband and low-latency connectivity through wireless network infrastructures. In such a framework, we propose a Martian deployment of a 3-Dimensional (3D) network acting as Cloud Radio Access Network (C-RAN). The scenario consists, mostly, of unmanned aerial vehicles (UAVs) and nanosatellites. Thanks to the thin Martian atmosphere, CubeSats can stably orbit at very-low-altitude. This allows to meet strict delay requirements to split functions of the baseband processing between drones and CubeSats. The detailed analytical study, presented in this paper, confirmed the viability of the proposed 3D architecture, under some constraints and trade-off concerning the involved Space communication infrastructures, that are discussed in detail. © 2022, CC BY-NC-ND.

关键词： Antennas

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On SNR Degradation in OFDM Systems with Aliasing and a Frequency Offset

On SNR Degradation in OFDM Systems with Aliasing and a Frequ...

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3rd International Symposium on Communications, Control, and Signal Processing (ISCCSP 2008), vol.3

作者： Ilias Trachanas Markus Gaida Norbert J. Fliege Chair of Electrical Engineering Faculty of Mathematics & Computer Science University of Mannheim Mannheim Germany

In this work the effects caused by aliasing and a frequency offset in orthogonal frequency division multiplexing (OFDM) systems will be analysed. Specifically, scope of this paper is to provide an exact analysis of the disturbances originating from aliasing in combination with a frequency offset that cause a degradation in the signal to noise ratio (SNR). In OFDM systems due to the narrow frequency spacing of the utilized carriers it is difficult to practically avoid aliasing because the transition bandwidth, which is available for the anti-aliasing low-pass filter is quite small for a given sampling frequency and large FFT-lengths. We separately discuss the SNR degradation caused by aliasing and the effects caused by a tolerated clock frequency offset. The combined case is investigated and the reaction of the different effects is explained. Finally, exact formulas that give the SNR degradation according to the low-pass filter's characteristics are given, which provides an additional tool that should simplify the work of system design engineers while helping them to choose the appropriate low-pass filter and frequency oscillators as well as system parameters related to the SNR estimation such as the length of the measurement interval.

关键词： OFDM Aliasing Frequency Offset SNR estimation SNR degradation

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Control of Autonomous Solid Oxide Fuel Cells Subject to Sudden Load Variations

Control of Autonomous Solid Oxide Fuel Cells Subject to Sudd...

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2008 IEEE/PES Transmission & Distribution Conference & Exposition, part 1

作者： Dong-Jing Lee Li Wang Department of Electrical Engineering and Computer Science Chair for Computer Architecture and System Programming National Cheng Kung University Tainan Taiwan

This paper presents dynamic behaviors of autonomous solid oxide fuel cells (SOFC) with AC bus control. Both voltage and frequency control are utilized to achieve load-sharing of the studied SOFC feeding isolated loads. A DC-to-DC converter is connected to the output terminals of the studied SOFC for stabilizing output voltage and current fluctuations under different loading conditions. The PWM inverter connected to the output terminals of the DC-to-DC converter is operated under voltage-controlled mode to regulate the voltage profile across the connected loads. It can be concluded from the simulation results that the proposed voltage and frequency droop controllers of the PWM inverter may operate satisfactory under stand-alone mode.

关键词： Solid oxide fuel cells (SOFC) DC-to-DC converter PWM inverter Stand-alone mode

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Plenary speaker

Plenary speaker

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International Conference on Power Systems (ICPS)

作者： Anurag Srivastava Mohan Kolhe Alberto Borghetti Rajiv K. Varma Prasad Enjeti S. S. Mani Venkata Sushil K. Soonee Deepakraj M. Divan School of Electrical Engineering & Computer Science Washington State University USA Faculty of Engineering and Science University of Agder Norway Department of Electrical Electronic and Information Engineering “Guglielmo Marconi” University of Bologna Italy Electrical and Computer Engineering Department The University of Western Ontario London ON Canada Electrical and Computer Engineering Department Texas A & M University Texas USA Departmnet of Electrical Engineering University of Washington Seattle WA USA Power System Operation Corp. Ltd. New Delhi India John E Pippin Chair Director of the Center for Distributed Energy Georgia Institute of Technology Atlanta GA

Provides an abstract of the plenary presentation and may include a brief professional biography of the presenter. The complete presentation was not made available for publication as part of the conference proceedings.

关键词： Renewable energy sources Smart grids electrical engineering Power system stability Patents Education

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Pricing of multi-energy network flow

Pricing of multi-energy network flow

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IEEE International Energy Conference and Exhibition (EnergyCon)

作者： Matthias Schulze Goran Gašparović Jieun Lee High Voltage Laboratory Swiss Federal Institute of Technology Zurich Switzerland Faculty of Electrical Engineering and Naval Architecture Mechanical Engineering University of Split Split Croatia Department of Computer Science Korea Advanced Institute of Science and Technology Daejeon South Korea

The network model bases upon the energy hub concept, which was developed by the Vision of Future Energy Networks” (VoFEN) research group at ETH Zurich in the last years. Keynote of the concept is a combined optimization of different energy carrier. Synergetic effects are expected to give unusual optimization results, when allowing any possible energy conversion inside a specific area that constitute the hub. Costs for the energy consumption or production are generally used as the optimization criteria. Any technologies for conversion and storage are integrated in a coupling matrix, which links input and output. This paper deals with an extension to the optimization part by merging the network flows with the pricing of grid costs. The impact of network flow pricing is at first derived from theory, then translated into the energy hub concept and finally illustrated in an example.

关键词： Electricity Optimization Resistance heating Mathematical model Smart grids Equations

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Early Fault Detection in Rolling Element Bearings Using Signal Processing Techniques

Early Fault Detection in Rolling Element Bearings Using Sign...

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International Symposium on High Capacity Optical Networks and Enabling Technologies, HONET

作者： Ali Saeed M. Usman Akram Muazzam A. Khan M. Belal Afsar Department of Computer Science ICESCO Chair Big Data Analytics and Edge Computing Quaid-i-Azam University Islamabad Pakistan Department of Computer and Software Engineering National University of Sciences & Technology Islamabad Pakistan Faculty of Electrical Engineering and Information Technology Otto-von-Guericke University Maddeburg DE

ISBN: (数字)9798350378078

ISBN: (纸本)9798350378085

Many studies show that bearings are the most vulnerable components in low-voltage motors. While advanced bearing diagnostic systems exist, their cost can be a barrier for non-critical machinery due to the potential wait time to see a return on investment. This research explores the feasibility of using basic signal processing techniques on vibration data for bearing condition monitoring. The primary goal is to analyze benchmark data from the Case Western Reserve University (CWRU) dataset and establish a baseline performance for this data-driven approach. The results suggest that, with appropriate signal processing, it's possible to achieve early detection of bearing faults, leading to more efficient time-to-fault identification with higher detection accuracies ranging from 83 % to 100 % for each method.

关键词： Vibrations Fault diagnosis Low voltage Smart cities Rolling bearings Signal processing Motors Robots Monitoring Investment

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