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EFaR 2023: Efficient Face Recognition Competition

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EFaR 2023: Efficient Face Recognition Competition

IEEE International Joint Conference on Biometrics (IJCB)

作者： Jan Niklas Kolf Fadi Boutros Jurek Elliesen Markus Theuerkauf Naser Damer Mohamad Alansari Oussama Abdul Hay Sara Alansari Sajid Javed Naoufel Werghi Klemen Grm Vitomir Štruc Fernando Alonso-Fernandez Kevin Hernandez Diaz Josef Bigun Anjith George Christophe Ecabert Hatef Otroshi Shahreza Ketan Kotwal Sébastien Marcel Iurii Medvedev Bo Jin Diogo Nunes Ahmad Hassanpour Pankaj Khatiwada Aafan Ahmad Toor Bian Yang Fraunhofer Institute for Computer Graphics Research IGD Germany TU Darmstadt Germany Department of Electrical and Computer Engineering Khalifa University Abu Dhabi United Arab Emirates Laboratory for Machine Intelligence Faculty of Electrical Engineering University of Ljubljana Slovenia Halmstad University Sweden Idiap Research Institute Martigny Switzerland École Polytechnique Fédérale de Lausanne (EPFL) Lausanne Switzerland Université de Lausanne (UNIL) Lausanne Switzerland Institute of Systems and Robotics University of Coimbra Coimbra Portugal Department of Information Security and Communication Technology eHealth and Welfare Security Group Norwegian University of Science and Technology Norway

This paper presents the summary of the Efficient Face Recognition Competition (EFaR) held at the 2023 International Joint Conference on Biometrics (IJCB 2023). The competition received 17 submissions from 6 different teams. To drive further development of efficient face recognition models, the submitted solutions are ranked based on a weighted score of the achieved verification accuracies on a diverse set of benchmarks, as well as the deployability given by the number of floating-point operations and model size. The evaluation of submissions is extended to bias, cross-quality, and large-scale recognition benchmarks. Overall, the paper gives an overview of the achieved performance values of the submitted solutions as well as a diverse set of baselines. The submitted solutions use small, efficient network architectures to reduce the computational cost, some solutions apply model quantization. An outlook on possible techniques that are underrepresented in current solutions is given as well.

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On the use of the Smith-McMillan form in decoupling system dynamics

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arXiv 2021年

作者： Barros, Clarisse Pétua Bosman Butler, Hans Tóth, Roland The Eindhoven University of Technology Department of Electrical Engineering Control Systems Group Eindhoven Netherlands The Systems and Control Laboratory Institute for Computer Science and Control Kende u. 13-17 BudapestH-1111 Hungary ASML Veldhoven5504 DR Netherlands

In this paper, the use of the Smith-McMillan form in decoupling multiple-input multiple-output system dynamics is analyzed. In short, from a transfer matrix plant model one can obtain a decoupling compensator which leads to a decoupled plant that contains the same transmission poles and zeros of the transfer matrix of the original system. As a result, full decoupling of the plant transfer matrix is obtained for all frequencies, which can be individually addressed by single-input single-output control. The aim of this paper is to present conditions for the decoupled system that guarantee internal stability and performance requirements for the overall control system. Performance specifications are defined in terms of magnitude limits for the maximum singular value of the closed-loop transfer matrices. The potential of the decoupling procedure is shown in a simulation study of a mechanical system. © 2021, CC BY.

关键词： Transfer matrix method

Locked entropy in partially coherent optical fields

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arXiv 2023年

作者： Harling, Mitchell Kelkar, Varun A. Toussaint, Kimani C. Abouraddy, Ayman F. PROBE Lab School of Engineering Brown University ProvidenceRI02912 United States Department of Electrical and Computer Eng. University of Illinois at Urbana-Champaign UrbanaIL61801 United States Algorithmic Systems Group Analog Garage Analog Devices Inc. BostonMA02110 United States CREOL The College of Optics & Photonics University of Central Florida OrlandoFL32816 United States

We introduce a taxonomy for partially coherent optical fields spanning multiple degrees of freedom (DoFs) based on the rank of the associated coherence matrix (the number of non-zero eigenvalues). When DoFs comprise two spatial modes and polarization, a fourfold classification emerges, with rank-1 fields corresponding to fully coherent fields. We demonstrate theoretically and confirm experimentally that these classes have heretofore unrecognized different properties. Specifically, whereas rank-2 fields can always be rendered separable with respect to its DoFs via a unitary transformation, rank-3 fields are always non-separable. Consequently, the entropy for a rank-2 field can always be concentrated into a single DoF (thus ridding the other DoF of statistical fluctuations), whereas some entropy is always 'locked' in one DoF of a rank-3 field. © 2023, CC BY.

关键词： Entropy

Using Simulation and Digital Twins to Innovate: Are we Getting Smarter?

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Using Simulation and Digital Twins to Innovate: Are we Getti...

2021 Winter Simulation Conference, WSC 2021

作者： Taylor, Simon J E Johansson, Bjorn Jeon, Sumin Lee, Loo Hay Lendermann, Peter Shao, Guodong Brunel University London Modelling Simulation Group Department of Computer Science Uxbridge United Kingdom Chalmers University of Technology Department of Industrial and Materials Science Gothenburg41296 Sweden Digital Industries Customer Services Siemens Pte Ltd Singapore National University of Singapore Department of Industrial Systems Engineering Management Singapore D-SIMLAB Technologies Pte Ltd Singapore National Institute of Standards and Technology Engineering Laboratory GaithersburgMD20899 United States

ISBN: (纸本)9781665433112

Digital Twins have recently emerged as a major new area of innovation. Digital Twins are often found at the core of 'smart' solutions that have also emerged as major areas of innovation. Modeling and Simulation (MS) approaches create a model of a real-world system that is linked to data sources and is used to simulate and predict the behavior of its real-world counterpart. On the face of it Digital Twins and MS appear to be similar, if not the same. Is this actually the case? Are the two fields really separate or is Digital Twin research re-inventing the 'MS wheel'? To investigate these relationships, in this panel we will explore some contemporary innovations with Digital Twins and discuss whether or not Digital Twins is a contemporary 'refresh' or 'rebranding' of MS or if there are exciting new synergies. © 2021 IEEE.

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SiNED-ancillary services for reliable power grids in times of progressive German energiewende and digital transformation

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SiNED-ancillary services for reliable power grids in times o...

ETG-Kongress 2021: Von Komponenten bis zum Gesamtsystem fur die Energiewende - ETG Congress 2021: From Components to the Overall System for the Energy Turnaround

作者： Wussow, Jonas Babazadeh, Davood Beutel, Vanessa Buchholz, Sebastian Geissendörfer, Stefan Gerlach, Jana Majumdar, Neelopal von Maydell, Karsten Narayan, Anand Hoffmann, Melanie Kahl, Lily Leveringhaus, Thomas Lotz, Marc René Scheunert, Alexandra Baboli, Payam Teimourzadeh Tiemann, Paul Hendrik Huxoll, Nils Werth, Oliver Agert, Carsten Breitner, Michael H. Engel, Bernd Hofmann, Lutz Könemund, Martin Kurrat, Michael Lehnhoff, Sebastian Nieße, Astrid Weyer, Hartmut Technische Universität Braunschweig Elenia Institute for High Voltage Technology and Power Systems Braunschweig Germany Carl von Ossietzky Universität Oldenburg Department of Computing Science Digitalized Energy Systems Group Oldenburg Germany German Aerospace Center Institute of Networked Energy Systems Oldenburg Germany Leibniz Universität Hannover Institute of Computer Science for Business Administration Hannover Germany Leibniz Universität Hannover Institute of Electric Power Systems Electric Power Engineering Section Hannover Germany OFFIS Institute for Information Technology Oldenburg Germany Ostfalia - University of Applied Science Institute of Electrical Systems and Automation Technology Wolfenbüttel Germany Technische Universität Clausthal Institute of German and International Mining and Energy Law Clausthal-Zellerfeld Germany

ISBN: (纸本)9783800755493

Within SiNED research project, several members of the Energy Research Centre of Lower Saxony (Energieforschungszentrum Niedersachsen, EFZN) are working on various issues relating to the future provision of ancillary services and to future congestion management. The questions include energy technology, economic and energy law aspects as well as information and communications technology (ICT) and data. The investigations are based on Lower Saxony and the framework conditions there. The temporal focus of the investigations is the year 2030. © VDE VERLAG GMBH. Berlin. Offenbach

关键词： Electric power transmission networks

University digital transformation plan through the implementation of Digital Resources: The case of the Technological University of Panama

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University digital transformation plan through the implement...

Virtual Campus (JICV), X International Conference on

作者： Vladimir Villarreal Dafni Mora Fernando Merchan Aris Castillo Lineth Alaín Miguel Chavarría Research Group in Emerging Computational Technologies Technological University of Panama David Chiriquí Panamá Research Group in Energy and Comfort Bioclimatic Buildings Technological University of Panama Panamá Panamá Research Group in Advanced Digital Communications Systems Technological University of Panama Panamá Panamá Faculty of Computer Systems Engineering Technological University of Panama Panamá Panamá Research Group in the Field of Education and Disability Technological University of Panama La Chorrera Panamá

With the globalization and proliferation of COVID-19, new challenges have emerged in higher education regarding the use and integration of new technologies. In this context, the university is called upon to organize, distribute, and design the best strategies to overcome the challenge of distance education in times of pandemic. This document proposes elements that support the implementation of a Digital Transformation Plan of the Technological University of Panama. The digital resource platform developed for professors and researchers to share with their students, digital resources such as: manuals, tools, videos, webinars, podcasts, and various experiences that contribute to the support of the teaching-learning process is presented. The structure of the platform is presented, as well as an evaluation by registered users.

关键词： Pandemics Digital transformation Education Globalization Manuals Tools Webinars

A Secure and Trusted Mechanism for Industrial IoT Network using Blockchain

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arXiv 2022年

作者： Rathee, Geetanjali Ahmad, Farhan Jaglan, Naveen Konstantinou, Charalambos The Department of Computer Science and Engineering Netaji Subhas University of Technology Dwarka Sector-3 New Delhi India The Systems Security Group Centre for Future Transport and Cities Coventry University Warwickshire CV1 5FB United Kingdom The Department of Electronics and Communication Engineering Jaypee University of Technology Waknaghat 173234 India Thuwal 23955-6900 Saudi Arabia

Industrial Internet-of-Things (IIoT) is a powerful IoT application which remodels the growth of industries by ensuring transparent communication among various entities such as hubs, manufacturing places and packaging units. Introducing data science techniques within the IIoT improves the ability to analyze the collected data in a more efficient manner, which current IIoT architectures lack due to their distributed nature. From a security perspective, network anomalies/attackers pose high security risk in IIoT. In this paper, we have addressed this problem, where a coordinator IoT device is elected to compute the trust of IoT devices to prevent the malicious devices to be part of network. Further, the transparency of the data is ensured by integrating a blockchain-based data model. The performance of the proposed framework is validated extensively and rigorously via MATLAB against various security metrics such as attack strength, message alteration, and probability of false authentication. The simulation results suggest that the proposed solution increases IIoT network security by efficiently detecting malicious attacks in the network. Copyright © 2022, The Authors. All rights reserved.

关键词： Blockchain

A Comparative Study of Machine Learning Modeling in Electricity Load Forecasting

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SSRN

SSRN 2022年

作者： Mohammadi, Sahar Nabavi, Seyed Azad Motlagh, Naser Hossein Anvari-Moghaddam, Amjad Tarkoma, Sasu Geyer, Philipp Department of Civil Water and Environmental Engineering Shahid Beheshti University Tehran Iran Sustainable Building Systems Group Faculty of Architecture and Landscape Leibniz University Hannover Germany Department of Computer Science University of Helsinki Helsinki00014 Finland Faculty of Science University of Helsinki Finland Aalborg University Aalborg9220 Denmark

Forecasting electricity load has a significant role in planning and management of sustainable power systems. In societies, the cumulative effects of social, economic, technical, environmental, and cultural factors on electricity consumption make forecasting electricity load a complex and demanding challenge. This necessitates developing robust models to deal with a high level of non-linearity and complexity. In this paper, we develop three machine learning-based methods to forecast short-term to long-term electricity load considering environmental factors including air temperature and solar irradiance, and social events such as vacations and festivals. The proposed methods include a Long Short-Term Memory (LSTM), a combination of LSTM and Discrete Wavelet Transformation (DWT), and Nonlinear Auto-Regressive with eXogenous inputs (NARX). We apply these methods to forecast electricity load in normal days and social events in Iran and Germany. Then, we evaluate these methods in terms of MSE, RMSE, and MAPE values in forecasting electricity load in Iran and Germany. The results show that the DWT-LSTM method has the highest accuracy in the long-term and short-term forecasting of electricity load. DWT-LSTM outperforms other developed methods in terms of MAPE, RMSE, and MSE. In addition, the results from electricity load forecasting for social events demonstrate the high precision of the DWT-LSTM methods in short-term to long-term prediction. As a result, our proposed electricity forecasting methods show a high performance in forecasting electricity load during normal days and special events in both countries. © 2022, The Authors. All rights reserved.

关键词： Long short-term memory

Fast Radix-32 Approximate DFTs for 1024-Beam Digital RF Beamforming

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arXiv 2022年

作者： Madanayake, A. Cintra, R.J. Akram, N. Ariyarathna, V. Mandal, S. Coutinho, V.A. Bayer, F.M. Coelho, D. Rappaport, T.S. Electrical and Computer Engineering Department Florida International University United States Signal Processing Group Ufpe Brazil School of Science and Mathematics Howard Payne University TX United States Electrical Computer and Systems Engineering Department Case Western Reserve University United States Universidade Federal Rural de Pernambuco Recife Brazil Department of Statistics Lacesm Federal University of Santa Maria Brazil AB Calgary Canada Nyu Wireless Department of Electrical Engineering Tandon School of Engineering New York University BrooklynNY11220 United States

The discrete Fourier transform (DFT) is widely employed for multi-beam digital beamforming. The DFT can be efficiently implemented through the use of fast Fourier transform (FFT) algorithms, thus reducing chip area, power consumption, processing time, and consumption of other hardware resources. This paper proposes three new hybrid DFT 1024-point DFT approximations and their respective fast algorithms. These approximate DFT (ADFT) algorithms have significantly reduced circuit complexity and power consumption compared to traditional FFT approaches while trading off a subtle loss in computational precision which is acceptable for digital beamforming applications in RF antenna implementations. ADFT algorithms have not been introduced for beamforming beyond N = 32, but this paper anticipates the need for massively large adaptive arrays for future 5G and 6G systems. Digital CMOS circuit designs for the ADFTs show the resulting improvements in both circuit complexity and power consumption metrics. Simulation results show similar or lower critical path delay with up to 48.5% lower chip area compared to a standard Cooley-Tukey FFT. The time-area and dynamic power metrics are reduced up to 66.0%. The 1024-point ADFT beamformers produce signal-to-noise ratio (SNR) gains between 29.2-30.1 dB, which is a loss of ≤ 0.9 dB SNR gain compared to exact 1024-point DFT beamformers (worst case) realizable at using an FFT. Copyright © 2022, The Authors. All rights reserved.

关键词： Beamforming