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Signal Processing in Photonic Communications, SPPCom 2021 - Part of OSA Advanced Photonics Congress 2021

作者： Tan, M. Xu, X. Wu, J. Boes, A. Corcoran, B. Nguyen, T. Chu, S.T. Little, B.E. Morandotti, R. Lowery, A.J. Mitchell, A. Hicks, D. Moss, D.J. Optical Sciences Centre Swinburne University of Technology HawthornVIC3122 Australia Dept. of Electrical and Computer Systems Engineering Monash University ClaytonVIC3800 Australia School of Engineering Rmit University MelbourneVIC3001 Australia Department of Physics and Material Science City University of Hong Kong Tat Chee Avenue Hong Kong Xi'an Institute of Optics and Precision Mechanics Precision Mechanics of Cas Xi'an China INRS-Énergie Matériaux et Télécommunications 1650 Boulevard Lionel-Boulet VarennesQCJ3X 1S2 Canada Walter and Eliza Hall Institute of Medical Research Bioinformatics Division ParkvilleVIC3052 Australia

ISBN: (纸本)9781557528209

We report a new approach to ONNs based on integrated Kerr micro-combs that is programmable, highly scalable and capable of reaching ultra-high speeds. We demonstrate a single neuron perceptron at 11.9 Giga-OPS at 8 bits per OP, or 95.2 Gbps. We then demonstrate a convolutional accelerator operating beyond 11 TeraOPs/s. We test the perceptron on handwritten-digit recognition and cancer-cell detection - achieving over 90% and 85% accuracy, respectively. © 2021 OSA - The Optical Society. All rights reserved.

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Stochastic and mixed flower graphs

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Physical Review E 2020年第5期101卷 052315-052315页

作者： C. Tyler Diggans Erik M. Bollt Daniel ben-Avraham Clarkson Center for Complex Systems Science (C3S2) Clarkson University Potsdam New York 13699 USA Department of Physics Clarkson University Potsdam New York 13699 USA Air Force Research Laboratory: Information Directorate Rome New York 13441 USA Department of Electrical and Computer Engineering Clarkson University Potsdam New York 13699 USA

Stochasticity is introduced to a well studied class of recursively grown graphs: (u,v)-flower nets, which have power-law degree distributions as well as small-world properties (when u=1). The stochastic variant interpolates between different (deterministic) flower graphs thus adding flexibility to the model. The random multiplicative growth process involved, however, leads to a spread ensemble of networks with finite variance for the number of links, nodes, and loops. Nevertheless, the degree exponent and loopiness exponent attain unique values in the thermodynamic limit of infinitely large graphs. We also study a class of mixed flower networks, closely related to the stochastic flowers, but which are grown recursively in a deterministic way. The deterministic growth of mixed flower-nets eliminates ensemble spreads, and their recursive growth allows for exact analysis of their (uniquely defined) mixed properties.

关键词： Growth processes Networks & random structures Stochastic analysis methods

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Balanced-imbalanced transitions in indirect reciprocity dynamics on networks

arXiv

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arXiv 2021年

作者： Oishi, Koji Miyano, Shuhei Kaski, Kimmo Shimada, Takashi Department of International Politics Aoyama Gakuin University Tokyo Japan Japan Society for the Promotion of Science 5-3-1 Kojimachi Chiyoda-ku Tokyo102-8471 Japan Department of Applied Physics Graduate School of Engineering University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Japan Department of Computer Science Aalto University School of Science PO Box 15500 Espoo Finland Alan Turing Institute British Library 96 Euston Road LondonNW1 2DB United Kingdom Mathematics and Informatics Center Department of Systems Innovation Graduate School of Engineering University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Japan

Here we investigate the dynamics of indirect reciprocity on networks, a type of social dynamics in which the attitude of individuals, either cooperative or antagonistic, toward other individuals changes over time by their actions and mutual monitoring. We observe an absorbing state phase transition as we change the network's link or edge density. When the edge density is either small or large enough, opinions quickly reach an absorbing state, from which opinions never change anymore once reached. In contrast, if the edge density is in the middle range the absorbing state is not reached and the state keeps changing thus being active. The result shows a novel effect of social networks on spontaneous group formation. © 2021, CC BY.

关键词： Dynamics

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Quantum Metamaterial for Broadband Detection of Single Microwave Photons

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Physical Review Applied 2021年第3期15卷 034074-034074页

作者： Arne L. Grimsmo Baptiste Royer John Mark Kreikebaum Yufeng Ye Kevin O’Brien Irfan Siddiqi Alexandre Blais Institut quantique and Départment de Physique Université de Sherbrooke Sherbrooke Québec J1K 2R1 Canada Centre for Engineered Quantum Systems School of Physics The University of Sydney Sydney Australia Department of Physics Yale University New Haven Connecticut 06520 USA Materials Science Division Lawrence Berkeley National Laboratory Berkeley California 94720 USA Quantum Nanoelectronics Laboratory Department of Physics University of California Berkeley California 94720 USA Research Laboratory of Electronics Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Computational Research Division Lawrence Berkeley National Laboratory Berkeley California 94720 USA Canadian Institute for Advanced Research Toronto Canada

Detecting traveling photons is an essential primitive for many quantum-information processing tasks. We introduce a single-photon detector design operating in the microwave domain, based on a weakly nonlinear metamaterial where the nonlinearity is provided by a large number of Josephson junctions. The combination of weak nonlinearity and large spatial extent circumvents well-known obstacles limiting approaches based on a localized Kerr medium. Using numerical many-body simulations we show that the single-photon detection fidelity increases with the length of the metamaterial to approach one at experimentally realistic lengths. A remarkable feature of the detector is that the metamaterial approach allows for a large detection bandwidth. The detector is nondestructive and the photon population wavepacket is minimally disturbed by the detection. This detector design offers promising possibilities for quantum information processing, quantum optics and metrology in the microwave frequency domain.

关键词： Josephson effect Quantum information architectures & platforms Quantum information with solid state qubits Quantum sensing Metamaterials Optical sources & detectors Superconducting devices Microwave techniques

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Gas–solid interface charge characterisation techniques for HVDC GIS/GIL insulators

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High Voltage 2020年第2期5卷 95-109页

作者： Lei Zhang Chuanjie Lin Chuanyang Li Simone Vincenzo Suraci Geng Chen Uwe Riechert Tohid Shahsavarian Masayuki Hikita Youping Tu Zhousheng Zhang Davide Fabiani Jinliang He School of Electrical Engineering Shanghai University of Electric PowerChangyang Road#2588Shanghai200090People's Republic of China State Key Laboratory of Power Systems Department of Electrical EngineeringTsinghua UniversityBeijing100084People's Republic of China Department of Electrical Electronicand Information Engineering‘Guglielmo Marconi’University of BolognaViale Risorgimento 2Bologna40136Italy Beijing Area Major Laboratory of High Voltage and Electromagnetic Compatibility North China Electric Power UniversityBeijing 102206People's Republic of China ABB Switzerland Ltd High Voltage ProductsZurichSwitzerland Electrical Insulation Research Center Institute of Materials ScienceElectrical and Computer EngineeringUniversity of ConnecticutStorrsCT 06269USA Kyushu Institute of Technology KitakyushuJapan

Surface charge accumulation on the spacers is one of the key issues restraining the development of HVDC GIS/*** precise measurement of surface charge properties provides the basis for further study of the surface charge transport mechanism as well as the charge-induced flashover mechanism under DC *** this study,the authors discuss their perspective on the current status,development needs and potential developing orientation of surface charge characterisation *** surface potential measurement methods and charge inversion algorithms are reviewed regarding the previous studies and future research *** and outlooks of surface charge measurement techniques are also discussed with the background of laboratory experiment results and on-site *** is hopefully that this study can serve as a useful guide reference for researchers within the same research *** importantly,it is authors’hope that this study can inspire some novel ideas for readers into developing of more accurate and scientific interface charge characterisation techniques.

关键词： GIL charge interface

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Embedded system environment self-awareness using LIDAR technologies for robotics applications

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IOP Conference Series: Materials science and Engineering 2021年第1期1031卷

作者： S G Bogdanov D S Chikurtev N R Spasova Technical University of Sofia Faculty of Computer Systems and Technologies Department of Computer Systems Bulgaria Institute of Information and Communication Technologies Bulgarian Academy of Science acad. G Bonchev str. block 2 Bulgaria Technical University of Sofia Department of Microelectronics Faculty of Electronic Engineering and Technologies

LIDAR technology is a major part of autonomous robots. That technology provides the necessary data for autonomous navigation, localization, surface scanning and obstacle detection. This paper presents a modular embedded system architecture, which is a part of a self-sufficient AI. The LIDAR software module of the proposed system is described. That module will provide 2D information about the surrounding environment. It is developed like a loadable module with options for self-compiling in the system. This research is the first step of self-awareness embedded system. In addition, we illustrate the application of the module in localization and navigation of mobile robots. The results achieved show that the developed software module is applicable for robotics localization and navigation.

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5G Internet of Radio Light Positioning System for Indoor Broadcasting Service

5G Internet of Radio Light Positioning System for Indoor Bro...

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作者： Shi, Lina Shi, Dayu Zhang, Xun Meunier, Benjamin Zhang, Hequn Wang, Zhan Vladimirescu, Andrei Li, Wei Zhang, Yue Cosmas, John Ali, Kareem Jawad, Nawar Zetik, Rudolf Legale, Eric Satta, Matteo Wang, Jintao Song, Jian Department of Electronic and Computer Engineering Institute Supérieur d'Electronique de Paris Paris75006 France Department of Electronic and Computer Engineering Brunel University UxbridgeUB8 3PH United Kingdom Department of Engineering University of Leicester LeicesterLE1 7RH United Kingdom Department of Engineering Viavi Solutions StevenageSG1 2AN United Kingdom Department Wireless Distribution Systems Fraunhofer Institute for Integrated Circuits IIS Fraunhofer-Gesellschaft Zur Foerderung der Angewandten Forschung E.V. Erlangen91058 Germany Research and Development Department Issy Média Issy-Les-Moulineaux92130 France Department of Electronic Engineering Research Institute of Information Technology Tsinghua National Laboratory of Information Science and Technology Tsinghua University Beijing100084 China

Many features of 5G are definitely important to the broadcasting service, including diverse content services such as follow-me TV, video-on-demand, but also gaming, Virtual reality (VR) and Augmented reality (AR) and many others. Meanwhile, those services depend more and more on the user's position accuracy, especially in indoor environment. With the increase of broadcasting data traffic indoors, to obtain a highly accurate position is becoming a challenge because of the impact of radio interference. In order to support a high-quality indoor broadcasting service, a high-accuracy positioning, radiation-free, and high-capacity communication system is urgently needed. In this paper, a 5G indoor positioning system is proposed for museums. It utilizes unlicensed visible light of the electromagnetic spectrum to provide museum visitors with high-accuracy positioning, multiple forms of interaction services, and high-resolution multimedia delivery on a mobile device. The geographic data and the location-related data integrated into the 5G New Radio (NR) waveform are detailed. A general-purpose system architecture is provided and some basic techniques to enhance system performance are also investigated. A preliminary demonstration is built in the laboratory environment. It supports over 45.25 Mbps data rate and a mean positioning error of 0.18 m. © 1963-12012 IEEE.

关键词： Location based services

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Developments and applications of the OPTIMADE API for materials discovery, design, and data exchange

arXiv

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arXiv 2024年

作者： Evans, Matthew L. Bergsma, Johan Merkys, Andrius Andersen, Casper W. Andersson, Oskar B. Beltrán, Daniel Blokhin, Evgeny Boland, Tara M. Balderas, Rubén Castañeda Choudhary, Kamal Díaz, Alberto Díaz García, Rodrigo Domínguez Eckert, Hagen Eimre, Kristjan Montero, María Elena Fuentes Krajewski, Adam M. Mortensen, Jens Jørgen Duarte, José Manuel Nápoles Pietryga, Jacob Qi, Ji de Jesús Trejo Carrillo, Felipe Vaitkus, Antanas Yu, Jusong Zettel, Adam de Castro, Pedro Baptista Carlsson, Johan Cerqueira, Tiago F.T. Divilov, Simon Hajiyani, Hamidreza Hanke, Felix Jose, Kevin Oses, Corey Riebesell, Janosh Schmidt, Jonathan Winston, Donald Xie, Christen Yang, Xiaoyu Bonella, Sara Botti, Silvana Curtarolo, Stefano Draxl, Claudia Cobas, Luis Edmundo Fuentes Hospital, Adam Liu, Zi-Kui Marques, Miguel A.L. Marzari, Nicola Morris, Andrew J. Ong, Shyue Ping Orozco, Modesto Persson, Kristin A. Thygesen, Kristian S. Wolverton, Chris Scheidgen, Markus Toher, Cormac Conduit, Gareth J. Pizzi, Giovanni Gražulis, Saulius Rignanese, Gian-Marco Armiento, Rickard Chemin des Étoiles 8 Louvain-la-Neuve1348 Belgium Matgenix SRL 185 Rue Armand Bury Gozée6534 Belgium École Polytechnique Fédérale de Lausanne Avenue de Forel 3 Lausanne1015 Switzerland Institute of Biotechnology Life Sciences Center Vilnius University Sauletekio av. 7 VilniusLT-10257 Lithuania SINTEF P.O. Box 4760 Torgarden TrondheimNO-7465 Norway Materials Design and Informatics unit Department of Physics Chemistry and Biology Linköping University Sweden Baldiri i Reixac 10-12 Barcelona08028 Spain Tilde Materials Informatics Straßmannstraße 25 Berlin10249 Germany Materials Platform for Data Science Sepapaja 6 Tallinn15551 Estonia Computational Atomic-Scale Materials Design Technical University of Denmark Kgs. Lyngby Denmark Av. Miguel de Cervantes 120 Complejo Industrial Chihuahua Chihuahua Chih. 31136 Mexico Material Measurement Laboratory National Institute of Standards and Technology GaithersburgMD20899 United States Department of Mechanical Engineering and Materials Science Duke University DurhamNC27708 United States Center for Extreme Materials Duke University DurhamNC27708 United States École Polytechnique Fédérale de Lausanne Lausanne1015 Switzerland Universidad Autónoma de Chihuahua Facultad de Ciencias Quimicas Chihuahua31125 Mexico Department of Materials Science and Engineering The Pennsylvania State University University ParkPA16802 United States Department of Materials Science and Engineering Northwestern University EvanstonIL60208 United States Department of NanoEngineering University of California 9500 Gilman Drive La Jolla San DiegoCA92093-0448 United States National Institute for Materials Science 1-2-1 Sengen Ibaraki Tsukuba305-0047 Japan Dassault Systèmes Germany GmbH Am Kabellager 11-13 Cologne51063 Germany CFisUC Department of Physics University of Coimbra Rua Larga Coimbra3004-516 Portugal Dassault Systèmes 22 Science Park CB4 0FJ United Kingdom Theory of Condensed Matter Cavendis

The Open Databases Integration for Materials Design (OPTIMADE) application programming interface (API) empowers users with holistic access to a growing federation of databases, enhancing the accessibility and discoverability of materials and chemical data. Since the first release of the OPTIMADE specification (v1.0), the API has undergone significant development, leading to the v1.2 release, and has underpinned multiple scientific studies. In this work, we highlight the latest features of the API format, accompanying software tools, and provide an update on the implementation of OPTIMADE in contributing materials databases. We end by providing several use cases that demonstrate the utility of the OPTIMADE API in materials research that continue to drive its ongoing development. © 2024, CC BY.

关键词： Electronic data interchange

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ConsAMPHemo: A computational framework for predicting hemolysis of antimicrobial peptides based on machine learning approaches

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Protein science : a publication of the Protein Society 2025年第7期34卷 e70087页

作者： Peilin Xie Lantian Yao Jiahui Guan Chia-Ru Chung Zhihao Zhao Feiyu Long Zhenglong Sun Tzong-Yi Lee Ying-Chih Chiang Kobilka Institute of Innovative Drug Discovery School of Medicine The Chinese University of Hong Kong Shenzhen China. School of Science and Engineering The Chinese University of Hong Kong Shenzhen China. School of Medicine The Chinese University of Hong Kong Shenzhen China. Department of Computer Science and Information Engineering National Central University Taoyuan Taiwan. Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China Shenzhen China. Institute of Bioinformatics and Systems Biology National Yang Ming Chiao Tung University Hsinchu Taiwan. Center for Intelligent Drug Systems and Smart Bio-devices (IDS2B) National Yang Ming Chiao Tung University Hsinchu Taiwan.

Many antimicrobial peptides (AMPs) function by disrupting the cell membranes of microbes. While this ability is crucial for their efficacy, it also raises questions about their safety. Specifically, the membrane-disrupting ability could lead to hemolysis. Traditionally, the hemolytic activity of AMPs is evaluated through experiments. To reduce the cost of assessing the safety of an AMP as a drug, we introduce ConsAMPHemo, a two-stage framework based on deep learning. ConsAMPHemo performs conventional binary classification of the hemolytic activities of AMPs and predicts their hemolysis concentrations through regression. Our model demonstrates excellent classification performance, achieving an accuracy of 99.54%, 82.57%, and 88.04% on three distinct datasets, respectively. Regarding regression prediction, the model achieves a Pearson correlation coefficient of 0.809. Additionally, we identify the correlation between features and hemolytic activity. The insights gained from this work shed light on the underlying physics of the hemolytic nature of an AMP. Therefore, our study contributes to the development of safer AMPs through cost-effective hemolytic activity prediction and by revealing the design principles for AMPs with low hemolytic toxicity. The codes and datasets of ConsAMPHemo are available at https://***/Cpillar/ConsAMPHemo.

关键词： antimicrobial peptides bioinformatics contrastive learning drug discovery hemolytic activity machine learning sequence analysis

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STARdom: An architecture for trusted and secure human-centered manufacturing systems

arXiv

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arXiv 2021年

作者： Rožanec, Jože M. Zajec, Patrik Kenda, Klemen Mladenić, Dunja Cauli, Nino Soldatos, John Papamartzivanos, Dimitrios Alonso, Rubén Veliou, Entso Sofianidis, Georgios Menesidou, Sofia Anna Theodoropoulos, Spyros Kyriazis, Dimosthenis Fortuna, Blaž Novalija, Inna Giannetsos, Thanassis Recupero, Diego Reforgiato Jožef Stefan International Postgraduate School Jamova 39 Ljubljana1000 Slovenia Jožef Stefan Institute Jamova 39 Ljubljana1000 Slovenia Qlector d.o.o. Rovšnikova 7 Ljubljana1000 Slovenia Ubitech Ltd Digital Security & Trusted Computing Group Athens Greece Department of Informatics and Computer Engineering University of West Attica Agiou Spyridonos Street Egaleo Athens12243 Greece R2M Solution Srl Pavia Italy Department of Computer Science University of Cagliari Cagliari Italy Department of Digital Systems University of Piraeus Piraeus Greece Department of Electrical and Computer Engineering National Technical University of Athens Athens Greece INTRASOFT International 19.5 KM Markopoulou Ave. PeaniaGR 19002 Greece

There is a lack of a single architecture specification that addresses the needs of trusted and secure Artificial Intelligence systems with humans in the loop, such as human-centered manufacturing systems at the core of the evolution towards Industry 5.0. To realize this, we propose an architecture that integrates forecasts, Explainable Artificial Intelligence, supports collecting users' feedback and uses Active Learning and Simulated Reality to enhance forecasts and provide decision-making recommendations. The architecture security is addressed as a general concern. We align the proposed architecture with the Big Data Value Association Reference Architecture Model. We tailor it for the domain of demand forecasting and validate it on a real-world case study. Copyright © 2021, The Authors. All rights reserved.

关键词： Industry 4.0

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