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IEEE Conference on Decision and Control

作者： Mark Jeeninga Juan E. Machado Michele Cucuzzella Giacomo Como Jacquelien Scherpen Department of Automatic Control Lund University Lund Sweden Chair of Control Systems and Network Control Technology Faculty 3 Mechanical Engineering Electrical and Energy Systems Brandenburg University of Technology Cottbus - Senftenberg Cottbus Germany Department of Electrical Computer Science and Biomedical Engineering Univeristy of Pavia Pavia Italy Department of Mathematical Science “G.L. Lagrange” Politecnico di Torino Torino Italy Department of Automatic Control Lund University Faculty of Science and Engineering Jan C. Willems Center for Systems and Control ENTEG University of Groningen Groningen the Netherlands

In this paper, using tools from graph theory we provide verifiable necessary and sufficient conditions for the existence of a unique hydraulic equilibrium in district heating systems of meshed topology and containing multiple heat sources. Even though numerous publications have addressed the design of efficient algorithms for numerically finding hydraulic equilibria in the general context of water distribution networks, this is not the case for the analysis of existence and uniqueness. Moreover, most of the existing work dealing with these aspects exploit the equivalence between the nonlinear algebraic equations describing the hydraulic equilibria and the KKT conditions of a suitably defined nonlinear convex optimization problem. Differently, this paper proposes necessary and sufficient graph-theoretic conditions on the actuator placement for the existence and uniqueness of a hydraulic equilibrium, independent of the actuators' control objective. An example based on a representative district heating network is considered to illustrate the key aspects of our contribution, and an explicit formulation of the steady state solution is given for the case in which pressure drops through pipes are linear with respect to the flow rate.

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High photocurrent in gated graphene-silicon hybrid photodiodes

arXiv

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arXiv 2017年

作者： Riazimehr, Sarah Kataria, Satender Bornemann, Rainer Bolivar, Peter Haring Ruiz, Francisco Javier Garcia Engström, Olof Godoy, Andres Lemme, Max C. University of Siegen School of Science and Technology Department of Electrical Engineering and Computer Science Hölderlinstr. 3 Siegen57076 Germany Dpto. de Electrónica y Tecnología de Computadores Facultad de Ciencias Universidad de Granada Av. Fuentenueva S/N Granada18071 Spain RWTH Aachen University Faculty of Electrical Engineering and Information Technology Chair for Electronic Devices Otto-Blumenthal-Str. 25 Aachen52074 Germany

Graphene/silicon (G/Si) heterojunction based devices have been demonstrated as high responsivity photodetectors that are potentially compatible with semiconductor technology. Such G/Si Schottky junction diodes are typically in parallel with gated G/silicon dioxide (SiO2)/Si areas, where the graphene is contacted. Here, we utilize scanning photocurrent measurements to investigate the spatial distribution and explain the physical origin of photocurrent generation in these devices. We observe distinctly higher photocurrents underneath the isolating region of graphene on SiO2 adjacent to the Schottky junction of G/Si. A certain threshold voltage (VT) is required before this can be observed, and its origins are similar to that of the threshold voltage in metal oxide semiconductor field effect transistors. A physical model serves to explain the large photocurrents underneath SiO2 by the formation of an inversion layer in Si. Our findings contribute to a basic understanding of graphene / semiconductor hybrid devices which, in turn, can help in designing efficient optoelectronic devices and systems based on such 2D/3D heterojunctions. Copyright © 2017, The Authors. All rights reserved.

关键词： Schottky barrier diodes

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Experimental Investigation of Variational Mode Decomposition and Deep Learning for Short-Term Multi-horizon Residential Electric Load Forecasting

arXiv

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arXiv 2022年

作者： Ahajjam, Mohamed Aymane Licea, Daniel Bonilla Ghogho, Mounir Kobbane, Abdellatif School of Electrical Engineering and Computer Science University of North Dakota Grand ForksND58202 United States College of Engineering Architecture - TICLab International University of Rabat Technopolis Rabat-Shore Morocco Ensias Mohammed v University in Rabat Rabat Morocco Czech Technical University in Prague Prague Czech Republic School of Eee Faculty of Engineering University of Leeds Leeds United Kingdom

With the booming growth of advanced digital technologies, it has become possible for users as well as distributors of energy to obtain detailed and timely information about the electricity consumption of households. These technologies can also be used to forecast the household's electricity consumption (a.k.a. the load). In this paper, Variational Mode Decomposition and deep learning techniques are investigated as a way to improve the accuracy of the load forecasting problem. Although this problem has been studied in the literature, selecting an appropriate decomposition level and a deep learning technique providing better forecasting performance have garnered comparatively less attention. This study bridges this gap by studying the effect of six decomposition levels and five distinct deep learning networks. The raw load profiles are first decomposed into intrinsic mode functions using the Variational Mode Decomposition in order to mitigate their non-stationary aspect. Then, day, hour, and past electricity consumption data are fed as a three-dimensional input sequence to a four-level Wavelet Decomposition Network model. Finally, the forecast sequences related to the different intrinsic mode functions are combined to form the aggregate forecast sequence. The proposed method was assessed using load profiles of five Moroccan households from the Moroccan buildings' electricity consumption dataset (MORED) and was benchmarked against state-of-the-art time-series models and a baseline persistence model. © 2022, CC BY.

关键词： Variational mode decomposition

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Italian-Croatian Remote Laboratory Distributed on Geographical Network

Italian-Croatian Remote Laboratory Distributed on Geographic...

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International Conference on Software, Telecommunications and computer Networks (SoftCOM)

作者： Mladen Borsic Drago Cmuk Pasquale Daponte Claudio De Capua Domenico Grimaldi Tomislav Kilic Tarik Mutapcic Maria Riccio Faculty of Electrical Engineering and Computing Zagreb Croatia Department of Engineering University of Sannio Benevento Italy Dipartimento Informatica Matematica Elettronica e Trasporti University E2809CMediterraneaE2809D Reggio Calabria Italy Department of Electronics Computer and System Science University of Calabria Rende Cosenza Italy Faculty of Electrical Engineering Mechanical Engineering and Naval Architecture University of Split FESB Split Croatia Tarmel d. o. o Zagreb Croatia Didagroup S.p.A. San Giorgio del Sannio Italy

The paper presents the e-learning project and the work until now developed for extending the features of the Italian remote laboratory "G. Savastano" to the academic circles of East Europe, Western Balkan and Mediterranean area. In particular, in the framework of the project "Italian-Croatian remote laboratory distributed on geographic network", the Italian-Croatian collaboration is highlighted. The proposed approach follows EU efforts to implement internal lifelong learning program and influence educational systems of EU partners and neighbor Countries while helping them to overcome problems with their own educational systems and lack of resources. Developed experiments, included in the remote laboratory, give the possibility of achieving practical experience on several fields, while multilingual approach gives the access to such facility to the students coming from different countries. Moreover, the idea of interactively controlled transfer of knowledge and experience offers new opportunities to the remote experiments enabling them to be executed without supervising necessity

关键词： Remote laboratories Educational programs Education Europe Internet Electronic learning Vocational training Instruments Collaborative software computer networks

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Graphene ribbons with suspended masses as transducers in ultra-small nanoelectromechanical accelerometers

arXiv

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arXiv 2020年

作者： Fan, Xuge Forsberg, Fredrik Smith, Anderson D. Schröder, Stephan Wagner, Stefan Rödjegård, Henrik Fischer, Andreas C. Östling, Mikael Lemme, Max C. Niklaus, Frank Department of Micro and Nanosystems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology StockholmSE-10044 Sweden Scania Technical Centre Södertälje15148 Sweden Department of Integrated Devices and Circuits School of Electrical Engineering and Computer Science KTH Royal Institute of Technology KistaSE-164 40 Sweden Senseair AB Delsbo820 60 Sweden AMO GmbH Otto-Blumenthal-Str. 25 Aachen52074 Germany Silex Microsystems AB Järfälla175 26 Sweden Chair of Electronic Devices Faculty of Electrical Engineering and Information Technology RWTH Aachen University Otto-Blumenthal-Str. 25 Aachen52074 Germany

Nanoelectromechanical system (NEMS) sensors and actuators could be of use in the development of next generation mobile, wearable, and implantable devices. However, these NEMS devices require transducers that are ultra-small, sensitive and can be fabricated at low cost. Here, we show that suspended double-layer graphene ribbons with attached silicon proof masses can be used as combined spring-mass and piezoresistive transducers. The transducers, which are realized using processes that are compatible with large-scale semiconductor manufacturing technologies, can yield NEMS accelerometers that occupy at least two orders of magnitude smaller die area than conventional state-of-the-art silicon accelerometers. With our devices, we also extract the Young's modulus values of double-layer graphene and show that the graphene ribbons have significant built-in stresses. Copyright © 2020, The Authors. All rights reserved.

关键词： Accelerometers

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A survey of limitations and enhancements of the ipv6 routing protocol for low-power and lossy networks: A focus on core operations

arXiv

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arXiv 2019年

作者： Ghaleb, Baraq Al-Dubai, Ahmed Ekonomou, Elias Alsarhan, Ayoub Nasser, Youssef MacKenzie, Lewis Boukerche, Azzedine School of Computing Edinburgh Napier University EdinburghEH10 5DT United Kingdom Department of Computer Information Systems Hashemite University Zarqa13133 Jordan ECE Department Faculty of Engineering and Architecture American University of Beirut Beirut1107 2020 Lebanon School of Computing Science GlasgowG12 8QQ United Kingdom School of Electrical Engineering and Computer Science University of Ottawa OttawaONK1N 6N5 Canada

Driven by the special requirements of the Low-power and Lossy Networks (LLNs), the IPv6 Routing Protocol for LLNs (RPL) was standardized by the IETF some six years ago to tackle the routing issue in such networks. Since its introduction, however, numerous studies have pointed out that, in its current form, RPL suffers from issues that limit its efficiency and domain of applicability. Thus, several solutions have been proposed in the literature in an attempt to overcome these identified limitations. In this survey, we aim mainly to provide a comprehensive review of these research proposals assessing whether such proposals have succeeded in overcoming the standard reported limitations related to its core operations. Although some of RPL's weaknesses have been addressed successfully, the study found that the proposed solutions remain deficient in overcoming several others. Hence, the study investigates where such proposals still fall short, the challenges and pitfalls to avoid, thus would help researchers formulate a clear foundation for the development of further successful extensions in future allowing the protocol to be applied more widely. Copyright © 2019, The Authors. All rights reserved.

关键词： Timing circuits

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Twin-Array Quasi FSS Reflector with Dual Band Cross-Dipole for 5G Base Station Antenna Application

Twin-Array Quasi FSS Reflector with Dual Band Cross-Dipole f...

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Conference on Power, Energy and Innovations (ICPEI)

作者： Ian Jerome Q. Santos Maleeya Tangjitjetsada Paitoon Rakluea Norakamon Wongsin Chawalit Rakluea Chatree Mahatthanajatuphat Nonchanutt Chudpooti Tawan Thianthong Department of Electronics and Telecommunication Engineering Faculty of Engineering Rajamangala University of Technology Thanyaburi Thanyaburi Pathum Thani Thailand Department of Electronics and Telecommunication Engineering Faculty of Engineering and Architecture Rajamangala University of Technology Suvarnabhumi Nonthaburi Thailand Department of Electrical and Computer Engineering Faculty of Engineering King Mongkut’s University of Technology North Bangkok Wongsawang Bangsue Bangkok Thailand Department of Industrial Physics and Medical Instrumentation Faculty of Applied Science King Mongkut’s University of Technology North Bnagkok Wongsawang Bangsue Bangkok Thailand Siam Airport Ground Service Co. Ltd. Don Mueang Bangkok Thailand

This article provides an explanation of the use of a Twin-Array Quasi Frequency Selective Surface (FSS) Reflector with Dual Band Cross-Dipole for antenna applications in 5G base stations. The base material employed in this study is FR4 sheet, which has a dielectric constant (ε r ) of 4.3. The antenna obtained has dimensions of 100x100 mm 2 and functions throughout the frequency spectrum spanning from 730 to 860 MHz, 1700 to 2130 MHz. The primary benefits of this antenna design are its lightweight structural composition, compatibility with the frequency range of 730–860 MHz, and discernible performance attributes. The CST Studio Suite software was used to conduct a simulation of the antenna’s performance. The antenna has an operating frequency range of 730–860 MHz and 1700–2130 MHz, enabling it to support a unidirectional wave propagation pattern that is suitable for the implementation of a 5G mobile communication base station.

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DFGC-VRA: DeepFake Game Competition on Visual Realism Assessment

DFGC-VRA: DeepFake Game Competition on Visual Realism Assess...

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IEEE International Joint Conference on Biometrics (IJCB)

作者： Bo Peng Xianyun Sun Caiyong Wang Wei Wang Jing Dong Zhenan Sun Rongyu Zhang Heng Cong Lingzhi Fu Hao Wang Yusheng Zhang Hanyuan Zhang Xin Zhang Boyuan Liu Hefei Ling Luka Dragar Borut Batagelj Peter Peer Vitomir Štruc Xinghui Zhou Kunlin Liu Weitao Feng Weiming Zhang Haitao Wang Wenxiu Diao Center for Research on Intelligent Perception and Computing (CRIPAC) Institute of Automation Chinese Academy of Sciences (CASIA) Beijing China Beijing University of Civil Engineering and Architecture (BUCEA) China Interactive Entertainment Group of Netease Inc Guangzhou China Huazhong University of Science and Technology (HUST) China Faculty of Computer and Information Science University of Ljubljana (UNILJ) Slovenia Faculty of Electrical Engineering University of Ljubljana (UNILJ) Slovenia University of Science and Technology of China (USTC) China Institute of Network Technology (INT) Yantai China Nanjing University of Science and Technology (NUST) China

This paper presents the summary report on the DeepFake Game Competition on Visual Realism Assessment (DFGC-VRA). Deep-learning based face-swap videos, also known as deepfakes, are becoming more and more realistic and deceiving. The malicious usage of these face-swap videos has caused wide concerns. There is a ongoing deepfake game between its creators and detectors, with the human in the loop. The research community has been focusing on the automatic detection of these fake videos, but the assessment of their visual realism, as perceived by human eyes, is still an unexplored dimension. Visual realism assessment, or VRA, is essential for assessing the potential impact that may be brought by a specific face-swap video, and it is also useful as a quality metric to compare different face-swap methods. This is the third edition of DFGC competitions, which focuses on the new visual realism assessment topic, different from previous ones that compete creators versus detectors. With this competition, we conduct a comprehensive study of the SOTA performance on the new task. We also release our MindSpore codes to further facilitate research in this field (https://***/bomb2peng/DFGC-VRA-benckmark).

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Measurement of the double-differential inclusive jet cross section in proton-proton collisions at s = 5.02 TeV

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Journal of High Energy Physics 2025年第1期2025卷 1-49页

作者： Hayrapetyan, A. Tumasyan, A. Adam, W. Andrejkovic, J.W. Bergauer, T. Chatterjee, S. Damanakis, K. Dragicevic, M. Escalante Del Valle, A. Hussain, P.S. Jeitler, M. Krammer, N. Lechner, L. Liko, D. Mikulec, I. Schieck, J. Schöfbeck, R. Schwarz, D. Sonawane, M. Templ, S. Waltenberger, W. Wulz, C.-E. Darwish, M.R. Janssen, T. Kello, T. Van Mechelen, P. Bols, E.S. D’Hondt, J. De Moor, A. Delcourt, M. El Faham, H. Lowette, S. Makarenko, I. Morton, A. Müller, D. Sahasransu, A.R. Tavernier, S. Van Putte, S. Vannerom, D. Clerbaux, B. Dansana, S. De Lentdecker, G. Favart, L. Hohov, D. Jaramillo, J. Lee, K. Mahdavikhorrami, M. Malara, A. Paredes, S. Pétré, L. Postiau, N. Thomas, L. Vanden Bemden, M. Vander Velde, C. Vanlaer, P. De Coen, M. Dobur, D. Knolle, J. Lambrecht, L. Mestdach, G. Rendón, C. Samalan, A. Skovpen, K. Tytgat, M. Van Den Bossche, N. Vermassen, B. Wezenbeek, L. Benecke, A. Bruno, G. Bury, F. Caputo, C. Delaere, C. Donertas, I.S. Giammanco, A. Jaffel, K. Jain, Sa. Lemaitre, V. Lidrych, J. Mastrapasqua, P. Mondal, K. Tran, T.T. Vischia, P. Wertz, S. Alves, G.A. Coelho, E. Hensel, C. Moraes, A. Rebello Teles, P. Aldá Júnior, W.L. Alves Gallo Pereira, M. Barroso Ferreira Filho, M. Brandao Malbouisson, H. Carvalho, W. Chinellato, J. Da Costa, E.M. Da Silveira, G.G. De Jesus Damiao, D. Dos Santos Sousa, V. Fonseca De Souza, S. Martins, J. Mora Herrera, C. Mota Amarilo, K. Mundim, L. Nogima, H. Santoro, A. Silva Do Amaral, S.M. Sznajder, A. Thiel, M. Vilela Pereira, A. Bernardes, C.A. Calligaris, L. Fernandez Perez Tomei, T.R. Gregores, E.M. Mercadante, P.G. Novaes, S.F. Orzari, B. Padula, Sandra S. Aleksandrov, A. Antchev, G. Hadjiiska, R. Iaydjiev, P. Misheva, M. Shopova, M. Sultanov, G. Dimitrov, A. Ivanov, T. Litov, L. Pavlov, B. Petkov, P. Petrov, A. Shumka, E. Keshri, S. Thakur, S. Cheng, T. Guo, Q. Javaid, T. Mittal, M. Yuan, L. Bauer, G. Hu, Z. Lezki, S. Yi, K. Chen, G.M. Chen, H.S. Chen, M. Iemmi, F. Jiang, C.H. Kapoor, A. Liao, H. Liu, Z.-A. Monti, F. Sharma, R. Song, J.N. Tao, J. Wang, J. Zhang, H. Aga Yerevan Physics Institute Yerevan Armenia Institut für Hochenergiephysik Vienna Austria Universiteit Antwerpen Antwerpen Belgium Vrije Universiteit Brussel Brussel Belgium Université Libre de Bruxelles Bruxelles Belgium Ghent University Ghent Belgium Université Catholique de Louvain Louvain-la-Neuve Belgium Centro Brasileiro de Pesquisas Fisicas Rio de Janeiro Brazil Universidade do Estado do Rio de Janeiro Rio de Janeiro Brazil Universidade Estadual Paulista Universidade Federal do ABC São Paulo Brazil Institute for Nuclear Research and Nuclear Energy Bulgarian Academy of Sciences Sofia Bulgaria University of Sofia Sofia Bulgaria Instituto De Alta Investigación Universidad de Tarapacá Casilla 7 D Arica Chile Beihang University Beijing China Department of Physics Tsinghua University Beijing China Institute of High Energy Physics Beijing China State Key Laboratory of Nuclear Physics and Technology Peking University Beijing China Sun Yat-Sen University Guangzhou China University of Science and Technology of China Hefei China Institute of Modern Physics and Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) — Fudan University Shanghai China Zhejiang University Zhejiang Hangzhou China Universidad de Los Andes Bogota Venezuela Universidad de Antioquia Medellin Colombia University of Split Faculty of Electrical Engineering Mechanical Engineering and Naval Architecture Split Croatia University of Split Faculty of Science Split Croatia Institute Rudjer Boskovic Zagreb Croatia University of Cyprus Nicosia Cyprus Charles University Prague Czech Republic Escuela Politecnica Nacional Quito Ecuador Universidad San Francisco de Quito Quito Ecuador Academy of Scientific Research and Technology of the Arab Republic of Egypt Egyptian Network of High Energy Physics Cairo Egypt Center for High Energy Physics (CHEP-FU) Fayoum University El-Fayoum Egypt National Institute of Chemical Physics and Biophysics Tallinn Estonia Department of Physics

The inclusive jet cross section is measured as a function of jet transverse momentum pT and rapidity y. The measurement is performed using proton-proton collision data at s = 5.02 TeV, recorded by the CMS experiment a... 详细信息

The inclusive jet cross section is measured as a function of jet transverse momentum p_T and rapidity y. The measurement is performed using proton-proton collision data at s = 5.02 TeV, recorded by the CMS experiment at the LHC, corresponding to an integrated luminosity of 27.4 pb⁻¹. The jets are reconstructed with the anti-k_T algorithm using a distance parameter of R = 0.4, within the rapidity interval |y| < 2, and across the kinematic range 0.06 < p_T< 1 TeV. The jet cross section is unfolded from detector to particle level using the determined jet response and resolution. The results are compared to predictions of perturbative quantum chromodynamics, calculated at both next-to-leading order and next-to-next-to-leading order. The predictions are corrected for nonperturbative effects, and presented for a variety of parton distribution functions and choices of the renormalization/factorization scales and the strong coupling α_S. © The Author(s) 2025.

关键词： Hadron-Hadron Scattering Jet Physics QCD

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European advances in digital rheumatology: explainable insights and personalized digital health tools for psoriatic arthritis

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eClinicalMedicine 2025年 84卷 103243-103243页

作者： Hadjileontiadis, Leontios J. Charisis, Vasileios Hadjidimitriou, Stelios Dias, Sofia B. Apostolidis, George Dimaridis, Giannis Kitsas, Ilias Karlas, Angelos Fasoula, Nikolina-Alexia Levi-Schaffer, Francesca Silva, Hugo Dimitroulas, Theodoros Rodrigues, Ana Maria Coates, Laura C. Luime, Jolanda Tchetverikov, Ilja Department of Biomedical Engineering & Biotechnology College of Medicine and Life Sciences Khalifa University of Science and Technology Abu Dhabi United Arab Emirates Department of Electrical & Computer Engineering College of Engineering Aristotle University of Thessaloniki Thessaloniki Greece Centro Interdisciplinar de Performance Humana (CIPER) Faculdade de Motricidade Humana Universidade de Lisboa Lisbon Portugal Clinic and Polyclinic for Vascular and Endovascular Surgery TUM University Hospital Hospital Rechts der Isar Technical University of Munich Munich Germany Chair for Computer Aided Medical Procedures & Augmented Reality Technical University of Munich Munich Germany DZHK (German Centre for Cardiovascular Research) Partner Site Munich Heart Alliance Munich Germany Institute for Drug Research School of Pharmacy Faculty of Medicine The Hebrew University of Jerusalem Jerusalem Israel Instituto de Telecomunicações (IT) Instituto Superior Técnico (IST) Universidade de Lisboa Lisbon Portugal PLUX Biosignals Lisbon Portugal 4th Department of Internal Medicine School of Medicine Aristotle University of Thessaloniki Thessaloniki Greece Comprehensive Health Research Centre (CHRC) Nova Medical School and Rheumatology Faculdade de Ciências Médicas Universidade de Lisboa Lisbon Portugal Sociedade Portuguesa De Reumatologia Portugal Nuffield Department of Orthopaedics Rheumatology and Musculoskeletal Sciences University of Oxford Oxford United Kingdom Department of Public Health Erasmus MC University Medical Center Rotterdam Netherlands Department of Rheumatology Albert Schweitzer Hospital Dordrecht Netherlands Stichting Cicero-Collectief Initiatief Voor Creatief En Educatief Reuma Onderzoek Netherlands

The shift from traditional to technology-based diagnosis and management of psoriatic arthritis (PsA) represents a significant evolution in patient care. Traditionally, PsA was diagnosed and managed through clinical evaluations, physical examinations, and basic imaging techniques. With the evolution of digital technologies, the PsA care is transforming, giving rise to the field of digital rheumatology. In this vein, Europe has invested in research initiatives, like iPROLEPSIS, that could accelerate this transformation and redefine PsA care within a digital world. In this Viewpoint we present the current clinical PsA landscape, highlight the PsA patients' interaction with the digital world, and showcase the novel iPROLEPSIS digital offerings. The latter scaffold digital rheumatology by identifying PsA key drivers. Moreover, they support personalized PsA risk prediction and improve early PsA detection. Furthermore, they enable precise PsA treatment strategies and digital therapeutics within a novel digital health ecosystem. © 2025 The Author(s)

关键词： Digital rheumatology Digital therapeutics Explainable AI models iPROLEPSIS European research initiative Novel digital biomarkers Psoriatic arthritis

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