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arXiv 2021年

作者： Mascolini, Alessio Cardamone, Dario Ponzio, Francesco Cataldo, Santa Di Ficarra, Elisa Politecnico di Torino Dept. of Control and Computer Engineering Torino Italy Università degli Studi di Torino Dept. of Physics Torino Italy Lab Fondazione Toscana Life Sciences Siena Italy Università di Modena and Reggio Emilia Dept. of Engineering Enzo Ferrari Modena Italy These authors contributed equally to this work

computer-aided analysis of biological images typically requires extensive training on large-scale annotated datasets, which is not viable in many situations. In this paper we present GAN-DL, a Discriminator Learner based on the StyleGAN2 architecture, which we employ for self-supervised image representation learning in the case of fluorescent biological images. We show that Wasserstein Generative Adversarial Networks combined with linear Support Vector Machines enable high-throughput compound screening based on raw images. We demonstrate this by classifying active and inactive compounds tested for the inhibition of SARS-CoV-2 infection in VERO and HRCE cell lines. In contrast to previous methods, our deep learning based approach does not require any annotation besides the one that is normally collected during the sample preparation process. We test our technique on the RxRx19a Sars-CoV-2 image collection. The dataset consists of fluorescent images that were generated to assess the ability of regulatory-approved or in late-stage clinical trials compound to modulate the in vitro infection from SARS-CoV-2 in both VERO and HRCE cell lines. We show that our technique can be exploited not only for classification tasks, but also to effectively derive a dose response curve for the tested treatments, in a self-supervised manner. Lastly, we demonstrate its generalization capabilities by successfully addressing a zero-shot learning task, consisting in the categorization of four different cell types of the RxRx1 fluorescent images collection. © 2021, CC BY-NC-ND.

关键词： Coronavirus

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Distinguishing between Fault and Inrush Current in Presence of the CT Saturation: A New Method Based on Gravity Center in Time 19

Distinguishing between Fault and Inrush Current in Presence ...

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19th IEEE International Conference on Environment and Electrical engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019

作者： Bagheri, Alireza Allahbakhshi, Mehdi Samet, Haidar Tajdinian, Mohsen Seifi, Alireza Dept. of Power Control Engineering Shiraz University School of Electrical and Computer Engineering Shiraz Iran

ISBN: (纸本)9781728106526

Failure in distinguishing between the internal fault and inrush phenomena in transformer especially in the presence of saturation in current transformer, may lead to mal-operation of the differential relays. This paper introduces a novel index that distinguishes inrush current from fault current even in the presence of saturation. This index utilizes the concept of gravity center mass (GCM) on the current signal and it is called gravity center in time (GCT). GCT is defined as a point that the energy of signal before and after of GCT is equal. Utilizing the concept of GCM on current signals it can be mathematically proven the proposed algorithm based on the GCT categorizes normal operation, fault condition and inrush current from each other in one cycle. The application of GCT in discrimination of internal fault and inrush current is investigated and further demonstrated for some simulation and experimental inrush and internal fault signals. The results show that proposed method classifies the disturbances quickly with notable accuracy under different conditions. © 2019 IEEE.

关键词： Gravitation

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Enhancing Immunity of Full-Cycle Discrete Fourier Transform Against Decaying DC Components: A Comparative Analysis 19

Enhancing Immunity of Full-Cycle Discrete Fourier Transform ...

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19th IEEE International Conference on Environment and Electrical engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019

作者： Tajdinian, Mohsen Samet, Haidar Hamedi, Alireza Hadaeghi, Arsalan Bagheri, Alireza Allahbakhshi, Mehdi Seifi, Alireza School of Electrical and Computer Engineering Shiraz University Dept. of Power and Control Engineering Shiraz Iran

ISBN: (纸本)9781728106526

Decaying DC terms of the fault current signal indisputably affect the accuracy of the discrete Fourier transform (DFT) based fundamental phasor estimators of digital relays. This effects will lead to delay in the best case and mal operation in the worst case of the protective relays and it may threat the reliability and security of the power system. This paper aims to conduct a comparative analysis between some decaying DC removal filters for enhancing the immunity if full-cycle DFT against decaying DC components. This paper mainly discusses the effects of DC offsets in the fault current and CT transient responses, harmonics and off-nominal frequency on the performance of DFT. Applying different test signals and also simulated fault current, the effectiveness of the different DC removal filters in combination with DFT is investigated. Analyzing simulation results, it is observed that the DFT phasor estimator should be provided with an algorithm that removes DC offsets due to fault current and CT transient responses under harmonic, noisy and off-nominal frequency conditions. © 2019 IEEE.

关键词： Discrete Fourier transforms

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Resource-Efficient Real-Time Polarization Compensation for MDI-QKD with Rejected Data

arXiv

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arXiv 2022年

作者： Bedroya, Olinka Li, Chenyang Wang, Wenyuan Hu, Jianyong Lo, Hoi-Kwong Qian, Li Centre for Quantum Information and Quantum Control Dept. of Physics University of Toronto TorontoONM5S 1A7 Canada Centre for Quantum Information and Quantum Control Dept. of Electrical & Computer Engineering University of Toronto TorontoONM5S 3G4 Canada Department of Physics University of Hong Kong Pokfulam Hong Kong 100 College St TorontoONM5G 1L5 Canada

Measurement-device-independent quantum key distribution (MDI-QKD) closes all the security loopholes in the detection system and is a promising solution for secret key sharing. Polarization encoding is the most common QKD encoding scheme, as it is straightforward to prepare and measure. However, implementing polarization encoding in MDI QKD imposes extra challenges, as polarization alignment must be maintained over both mutually unbiased bases and be maintained for both paths (Alice-Charlie and Bob-Charlie). Polarization alignment is usually done by interrupting the QKD process (reducing overall key generation rates) or using additional classical laser sources multiplexed with quantum channels for polarization alignment. Since low key rates and cost are the two most pressing challenges preventing wide adoption of QKD systems, using additional resources or reducing key rates runs contrary to making QKD commercially viable. Therefore, we propose and implement a novel polarization compensation scheme in the MDI-QKD system that avoids the aforementioned drawbacks by recycling part of discarded detection events. Our scheme evaluates the polarization drift in real-time based on single measurements corresponding to decoy intensities. Our fully automated experimental demonstration maintains the average polarization drift below 0.13 rad over 40 km of spooled fibre (without an insulating jacket) for at least four hours. The average quantum bit error rate is 3.8%, and we achieved an average key rate of 7.45 × 10−6 bits per pulse. © 2022, CC BY.

关键词： Polarization

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The Use of Symmetrical Angle Switched Single- & 3-Phase Rectifiers in Micro Hydro Power Plants

The Use of Symmetrical Angle Switched Single- & 3-Phase Rect...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Henry Bory-Prevez Herminio Martínez-García Luís Vázquez-Seisdedos Encarna García-Vílchez Antoni Grau-Saldes Automatic Control Dept. Electrical Engineering Faculty University of Oriente Santiago de Cuba Cuba Electronics Engineering Department Eastern Barcelona School of Engineering (EEBE) Tech. University of Catalonia (UPC) BarcelonaTech Barcelona Spain Automatic Control Dept. Tech. University of Catalonia (UPC) BarcelonaTech Barcelona Spain

ISBN: (数字)9781728189567

ISBN: (纸本)9781728189574

Micro-size hydro power plants (μHPPs) are commonly used at remote areas to supply islanded AC micro-grids. A typical way to control grid frequency is to manipulate active power dissipated in ballast loads by AC/AC converters. However, these asymmetrically switched thyristor controlled converters consume reactive power degrading the power factor at the generator output. In this paper the operation of a symmetric angle switched, bridged three-phase rectifier and three single-phase rectifiers connected in series with ballast load, are studied to improve the power factor of the system. As a consequence, the objective is to evaluated the use of the three and single-phase rectifiers switched with symmetrical angle to improve the power factor, by reactive power compensation, at the output terminal of the electric generator of μHPPs that use ballast load to regulate frequency.

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Live Demo: E2P–Events to Polarization Reconstruction from PDAVIS Events

Live Demo: E2P–Events to Polarization Reconstruction from P...

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IEEE computer Society Conference on computer Vision and Pattern Recognition Workshops (CVPRW)

作者： Tobi Delbruck Zuowen Wang Haiyang Mei Germain Haessig Damien Joubert Justin Haque Yingkai Chen Moritz B. Milde Viktor Gruev Sensors Group Institute of Neuroinformatics Univ. of Zurich and ETH Zurich Switzerland AIT Austrian Institute of Technology Center for Vision Automation & Control High-Performance Vision Systems Vienna Austria Intl. Centre for Neuromorphic Systems The MARCS Institute Western Sydney University Sydney Australia Dept. of Electrical and Computer Engineering University of Illinois at Urbana-Champaign Urbana IL USA

This demonstration shows live operation of of PDAVIS polarization event camera reconstruction by the E2P DNN reported in the main CVPR conference paper Deep Polarization Reconstruction with PDAVIS Events (paper 9149 [...

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Visualisation of the Maturity of Future Electrical Engineers Professional Competencies 20

Visualisation of the Maturity of Future Electrical Engineers...

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20th IEEE International Conference on Modern Electrical and Energy Systems, MEES 2021

作者： Chornyi, Oleksii Herasymenko, Larysa Tytiuk, Valerii Bigdan, Maryna Busher, Victor Kremenchuk Mykhailo Ostrohradskyi National University Institute of Electromechanics Energy Saving and Automatic Control Systems Kremenchuk Ukraine Pedagogy and Philosophy Kremenchuk Mykhailo Ostrohradskyi National University Department of Psychology Kremenchuk Ukraine Kryvyi Rih National University Department of Electromechanics Kryvyi Rih Ukraine Kremenchuk Mykhailo Ostrohradskyi National University Department of Branch Legal Sciences Kremenchuk Ukraine National University 'Odessa Maritime Academy' Dept. of Electrical Engineering and Electronics Odessa Ukraine

ISBN: (纸本)9781665423663

the article considers the actual problem of pedagogical diagnostics of the professional competencies' maturity on the example of students of engineering specialties. The initial data were obtained as a result of experimental studies while which various diagnostic tools for the assessment of students training quality were used. The authors have suggested a method for the diagnostics of professional competencies which is based on the principle of tasks being differentiated in accordance with the defined competencies, and which allows us to obtain more reliable information about the level of their maturity. Also, there have been presented the code fragments of the developed modelling software aimed at the creation of a visual image being the result of the competencies diagnostics. © 2021 IEEE.

关键词： Visualization

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Automated segmentation of microtomography imaging of Egyptian mummies

arXiv

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arXiv 2021年

作者： Tanti, Marc Berruyer, Camille Tafforeau, Paul Muscat, Adrian Farrugia, Reuben Scerri, Kenneth Valentino, Gianluca Solé, V. Armando Briffa, Johann A. Dept. of Comm. & Computer Engineering University of Malta Msida MSD 2080 Malta European Synchrotron Radiation Facility 71 Avenue des Martyrs CS-40220 Cedex 09 Grenoble38043 France Dept. of Systems & Control Engineering University of Malta Msida MSD 2080 Malta

Propagation Phase Contrast Synchrotron Microtomography (PPC-SRµCT) is the gold standard for non-invasive and non-destructive access to internal structures of archaeological remains. In this analysis, the virtual specimen needs to be segmented to separate different parts or materials, a process that normally requires considerable human effort. In the Automated SEgmentation of Microtomography Imaging (ASEMI) project, we developed a tool to automatically segment these volumetric images, using manually segmented samples to tune and train a machine learning model. For a set of four specimens of ancient Egyptian animal mummies we achieve an overall accuracy of 94-98% when compared with manually segmented slices, approaching the results of off-the-shelf commercial software using deep learning (97-99%) at much lower complexity. A qualitative analysis of the segmented output shows that our results are close in terms of usability to those from deep learning, justifying the use of these techniques. Copyright © 2021, The Authors. All rights reserved.

关键词： Tomography

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Identifiability issues in estimating the impact of interventions on Covid-19 spread

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IFAC-PapersOnLine 2020年第5期53卷 829-832页

作者： Fredrik Gustafsson Joakim Jaldén Bo Bernhardsson Kristian Soltesz Linköping University Div. of Automatic Control Linköping Sweden. KTH Royal Institute of Technology Div. Division of Information Science and Engineering Stockholm Sweden. Lund University Dept. Automatic Control Lund Sweden.

The Covid-19 pandemic has spawned numerous dynamic modeling attempts aimed at estimation, prediction, and ultimately control. The predictive power of these attempts has varied, and there remains a lack of consensus regarding the mechanisms of virus spread and the effectiveness of various non-pharmaceutical interventions that have been enforced regionally as well as nationally. Setting out in data available in the spring of 2020, and with a now-famous model by Imperial College researchers as example, we employ an information-theoretical approach to shed light on why the predictive power of early modeling approaches have remained disappointingly poor.

关键词： Bayesian methods Covid-19 Epidemiology Identifiability Sensitivity

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V-Edge: Virtual edge computing as an enabler for novel microservices and cooperative computing

arXiv

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arXiv 2021年

作者： Dressler, Falko Chiasserini, Carla Fabiana Fitzek, Frank H.P. Karl, Holger Cigno, Renato Lo Capone, Antonio Casetti, Claudio Malandrino, Francesco Mancuso, Vincenzo Klingler, Florian Rizzo, Gianluca The School of Electrical Engineering and Computer Science TU Berlin Berlin Germany The Dept. of Electronics and Telecommunications Politecnico di Torino Torino Italy The School of Engineering Sciences as well as the Excellence Cluster CeTI TU Dresden Dresden Germany The Hasso-Plattner-Institute Potsdam Germany The Dept. of Information Engineering University of Brescia Brescia Italy The Dept. of Electronics Information and Bioengineering Politecnico di Milano Milano Italy The Dept. of Control and Computer Engineering Politecnico di Torino Torino Italy The Institute of Electronics Computer and Communication Engineering of the National Research Council of Italy Torino Italy IMDEA Networks Madrid Spain The Dept. of Computer Science Paderborn University Paderborn Germany The Research Institute of Information Systems HES-SO Valais-Wallis Switzerland University of Foggia Italy

As we move from 5G to 6G, edge computing is one of the concepts that needs revisiting. Its core idea is still intriguing: instead of sending all data and tasks from an end user's device to the cloud, possibly covering thousands of kilometers and introducing delays that are just owed to limited propagation speed, edge servers deployed in close proximity to the user, e.g., at some 5G gNB, serve as proxy for the cloud. Yet this promising idea is hampered by the limited availability of such edge servers. In this paper, we discuss a way forward, namely the virtual edge computing (V-Edge) concept. V-Edge bridges the gap between cloud, edge, and fog by virtualizing all available resources including the end users' devices and making these resources widely available using well-defined interfaces. V-Edge also acts as an enabler for novel microservices as well as cooperative computing solutions. We introduce the general V-Edge architecture and we characterize some of the key research challenges to overcome, in order to enable wide-spread and even more powerful edge services. Copyright © 2021, The Authors. All rights reserved.

关键词： Edge computing

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