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2023 International Conference on ENTERprise Information systems, CENTERIS 2023 - International Conference on Project MANagement, ProjMAN 2023 - International Conference on Health and Social Care Information systems and Technologies, HCist 2023

作者： Papco, Juraj Bakon, Matus Kubica, Lukas Belicova, Gabika Droscak, Branislav Ferianc, Martin Rovnak, Martin Ruiz, Antonio M. Sousa, Joaquim J. Department of Theoretical Geodesy and Geoinformatics Faculty of Civil Engineering Slovak University of Technology in Bratislava Radlinskeho 11 Bratislava813 62 Slovakia Insar.sk Ltd Konstantinova 3 Presov080 01 Slovakia Department of Finance Accounting and Mathematical Methods Faculty of Management and Business University of Presov Konstantinova 16 Presov080 01 Slovakia Department of Engineering School of Sciences and Technology Universidade de Tras-os-Montes e Alto Douro Quinta de Prados Vila Real5000-801 Portugal Geodetic and Cartographic Institute Bratislava Chlumeckeho 4 Bratislava827 45 Slovakia Department of Cartographic Geodetic and Photogrammetry Engineering University of Jaen Campus Las Lagunillas s/n Jaen23071 Spain University of Jaen Campus Las Lagunillas s/n Jaen23071 Spain Research Group RNM-282 Microgeodesia Jaen University of Jaen Campus Las Lagunillas s/n Jaen23071 Spain Institute for Systems and Computer Engineering Technology and Science INESC-TEC Porto4200-465 Portugal

Satellite radar interferometry (InSAR) enables large-scale monitoring of displacement with precision akin to ground-based methods. Using measurements from Sentinel-1 satellites, persistent scatterer networks cover areas up to hundreds of kilometers in size. One of the current challenges for the InSAR community is to tie these networks into a current and country-specific global terrestrial reference system through collocation with other geodetic techniques, especially Global Navigation Satellite systems (GNSS). In this work, an optimal procedure for assessing a suitable collocation properties for InSAR and GNSS techniques is discussed, along with the proposal for the methodology to determine the spatial relationship between the reference points of both techniques. The study analyzes three collocation stations in Slovakia using their radar backscattering characteristics. InSAR achieves an intrinsic accuracy of up to 1 mm but has uncertainties several orders of magnitude larger in 3D space. A collocation of InSAR measurements with GNSS can tie relative InSAR displacement estimates to an absolute reference frame. © 2024 The Author(s). Published by Elsevier B.V.

关键词： Geodesy

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Decentralized temperature and storage volume control in multi-producer district heating

arXiv

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arXiv 2022年

作者： Martinez, Juan Eduardo Machado Ferguson, Joel Cucuzzella, Michele Scherpen, Jacquelien M.A. The Jan C. Willems Center for Systems and Control ENTEG Faculty of Science and Engineering University of Groningen Nijenborgh 4 Groningen9747 AG Netherlands The School of Engineering The University of Newcastle Australia The Department of Electrical Computer and Biomedical Engineering University of Pavia via Ferrata 5 Pavia27100 Italy

Modern district heating technologies have a great potential to make the energy sector more flexible and sustainable due to their capabilities to use energy sources of varied nature and to efficiently store energy for subsequent use. Central control tasks within these systems for the efficient and safe distribution of heat refer to the stabilization of overall system temperatures and the regulation of storage units state of charge. These are challenging goals when the networked and nonlinear nature of district heating system models is taken into consideration. In this letter, for district heating systems with multiple, distributed heat producers, we propose a decentralized control scheme to provably meet said tasks stably. Copyright © 2022, The Authors. All rights reserved.

关键词： District heating

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Numerical simulation of heat pipes in different applications

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International Journal of Thermofluids 2022年 16卷

作者： Maghrabie, Hussein M. Olabi, A.G. Alami, Abdul Hai Radi, Muaz Al Zwayyed, Firas salamah, Tareq Wilberforce, Tabbi Abdelkareem, Mohammad Ali Department of Mechanical Engineering Faculty of Engineering South Valley University Qena83521 Egypt Sustainable Energy & Power Systems Research Centre RISE University of Sharjah P.O. Box 27272 Sharjah United Arab Emirates Mechanical Engineering and Design Aston University School of Engineering and Applied Science Aston Triangle BirminghamB4 7ET United Kingdom Department of Electrical Engineering and Computer Science Khalifa University Abu Dhabi United Arab Emirates Faculty of Engineering Minia University Elminia Egypt

Nowadays heat pipes are considered to be popular passive heat transfer technologies due to their high thermal performance. The heat pipe is a superior heat transfer apparatus in which latent heat of vaporization is employed to transfer heat for an extended distance under a limited operating temperature difference. Numerical simulation of heat transfer devices is a principal step before implementing in real-life applications as many parameters can be tested in cost-and time-effective behaviors. The present study provides a review of the numerical simulations of various heat pipes in different applications such as cooling of electronic components, heating, ventilation, and air conditioning (HVAC), nuclear reactors, solar energy systems, electric vehicles, waste heat recovery systems, cryogenic, etc. Firstly, this work introduces a background about the main components of heat pipes such as an evacuated tube, wick, and working fluid. The fluid flow and thermal performance characteristics of heat pips are discussed, considering the optimum parameters. Finally, the critical challenges and recommendations for future work encountering the broad application of heat pipes are thoroughly studied. © 2022

关键词： Heat pipes

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New antenna selection schemes for full-duplex cooperative MIMO-NOMA systems

arXiv

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arXiv 2022年

作者： Mobini, Zahra Mohammadi, Mohammadali Tsiftsis, Theodoros A. Ding, Zhiguo Tellambura, Chintha Faculty of Engineering Shahrekord University Shahrekord115 Iran School of Intelligent Systems Science and Engineering Jinan University Zhuhai519070 China Department of Computer Science and Telecommunications University of Thessaly Lamia35131 Greece School of Electrical and Electronic Engineering The University of Manchester Manchester United Kingdom Department of Electrical and Computer Engineering University of Alberta EdmontonABT6G 2V4 Canada

In this paper, we address the antenna selection (AS) problem in full-duplex (FD) cooperative non-orthogonal multiple access (NOMA) systems, where a multi-antenna FD relay bridges the connection between the multiantenna base station and NOMA far user. Specifically, two AS schemes, namely max-U1 and max-U2, are proposed to maximize the end-to-end signal-to-interference-plus-noise ratio at either or both near and far users, respectively. Moreover, a two-stage AS scheme, namely quality-of-service (QoS) provisioning scheme, is designed to realize a specific rate at the far user while improving the near user's rate. To enhance the performance of the QoS provisioning AS scheme, the idea of dynamic antenna clustering is applied at the relay to adaptively partition the relay's antennas into transmit and receive subsets. The proposed AS schemes' exact outage probability and achievable rate expressions are derived. To provide more insight, closed-form asymptotic outage probability expressions for the max-U1 and max-U2 AS schemes are obtained. Our results show that while the QoS provisioning AS scheme can deliver a near-optimal performance for static antenna setup at the relay, it provides up to 12% average sum rate gain over the optimum AS selection with fixed antenna setup. © 2022, CC BY.

关键词： Antennas

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Data-driven derivation of partial differential equations using neural network model

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International Journal of Modeling, Simulation, and Scientific Computing 2021年第2期12卷 1-19页

作者： Koji Koyamada Yu Long Graduate Takuma Kawamura Katsumi Konishi Academic Center for Computing and Media Studies Kyoto University Yoshida-honnmachi Sakyo-kuKyoto 606-8501Japan School of Engineering Kyoto University Yoshida-honnmachi Sakyo-kuKyoto 606-8501Japan Center for Computational Science and e-Systems Japan Atomic Energy Research Institute 148-4 Kashiwanoha Campus 178-4 WakashibaKashiwa-CityChiba 277-0871Japan Faculty of Computer and Information Sciences Hosei University 3-7-2Tajino-cho Koganei-shiTokyo 184-8584Japan

It has become critical to develop explanatory models using partial differential equations(PDEs)for big data from interesting scientific phenomena,e.g.,fluids,atmosphere,and cosmic *** data are often measured at discrete spatiotemporal *** this paper,we assume a PDE and consider a set of the PDE solution data at multiple discrete points as pseudo-measurement *** a data-driven PDE derivation,it is assumed that the PDE is a linear regression model comprising partial temporal and spatial differential terms,where the coefficients are estimated using regression analysis techniques,and the PDE derivation accuracy is defined as the difference(i.e.,error)between the exact and estimated coefficients.A spatiotemporal model is required to calculate the partial temporal and spatial differential terms;thus,we employ a spatiotemporal model based on a neural network(NN)obtained from big *** develop the data-driven PDE derivation technique,we employ PDEs with exact solutions such that we can calculate the differential terms by differentiating them analytically at multiple discrete *** we assume an activation function in the NN model,the partial differential term can be derived using a chain *** NN model accuracy is measured by the loss function and error between the exact and estimated partial differential *** addition,we clarify a requirement for an NN structure that can maximize the PDE derivation and NN model accuracy by varying the NN meta-parameters,i.e.,the numbers of NN layers and neurons.

关键词： Neural network partial differential equation regression analysis

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Development of heterogeneous database synchronization algorithm based on entity relationship model approach

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AIP Conference Proceedings 2023年第1期2484卷

作者： Ayu Helinda Zuhar Musliyana Teuku Yuliar Arif Zalfie Ardian Zuriana Abu Bakar Zulaida Rahmi Mutiawati 1Informatic Engineering Department Faculty of Computer Science Ubudiyah Indonesia University Indonesia 2Information System Department Faculty of Computer Science Ubudiyah Indonesia University Indonesia 3Electrical and Computer Engineering Department Faculty of Engineering Syiah Kuala University Indonesia 4Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu Malaysia 5Faculty of Education Science Ubudiyah Indonesia University Indonesia

Nowadays, database technology keeps evolving and available on various platforms. However, the use of heterogeneous database had a limitation because each database only provides a synchronization method for similar types of databases. Therefore, the utilization of various types of databases becoming a problem since the entire data among the databases need to be integrated. Previous research had examined heterogeneous database synchronization algorithms on mobile devices using message digest. Nevertheless, this algorithm requires a longer synchronization time because necessity to check the hash value of each data record. Thus, this study investigates the development of a multi-platform database synchronization algorithm using the Entity Relationship (ER) model. This model is based on the data relationships in each table. ER model implementation is executed by creating a temporary table that stores the primary key of each data record in a table that has changed or consist new data. The synchronization process flow is determined based on the type of transaction by selecting data from the source table based on the relationship from the temporary table data to the destination database. The results of this study indicates that the proposed ER model could be a new method in the heterogeneous database synchronization process and is able to shorten the synchronization process time.

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Exploring Contextual Representation and Multi-Modality for End-to-End Autonomous Driving

arXiv

引用

arXiv 2022年

作者： Azam, Shoaib Munir, Farzeen Kyrki, Ville Jeon, Moongu Pedrycz, Witold Department of Electrical Engineering and Automation Aalto University Espoo Finland Finnish Center for Artificial Intelligence Finland School of Electrical Engineering and Computer Science Gwangju Institute of Science and Technology Gwangju61005 Korea Republic of Department of Electrical and Computer Engineering University of Alberta EdmontonABT6R 2V4 Canada Department of Electrical and Computer Engineering Faculty of Engineering King Abdulaziz University Jeddah21589 Saudi Arabia Systems Research Institute Polish Academy of Sciences Warsaw01-447 Poland

Learning contextual and spatial environmental representations enhances autonomous vehicle’s hazard anticipation and decision-making in complex scenarios. Recent perception systems enhance spatial understanding with sensor fusion but often lack full environmental context. Humans, when driving, naturally employ neural maps that integrate various factors such as historical data, situational subtleties, and behavioral predictions of other road users to form a rich contextual understanding of their surroundings. This neural map-based comprehension is integral to making informed decisions on the road. In contrast, even with their significant advancements, autonomous systems have yet to fully harness this depth of human-like contextual understanding. Motivated by this, our work draws inspiration from human driving patterns and seeks to formalize the sensor fusion approach within an end-to-end autonomous driving framework. We introduce a framework that integrates three cameras (left, right, and center) to emulate the human field of view, coupled with top-down bird-eye-view semantic data to enhance contextual representation. The sensor data is fused and encoded using a self-attention mechanism, leading to an auto-regressive waypoint prediction module. We treat feature representation as a sequential problem, employing a vision transformer to distill the contextual interplay between sensor modalities. The efficacy of the proposed method is experimentally evaluated in both open and closed-loop settings. Our method achieves displacement error by 0.67m in open-loop settings, surpassing current methods by 6.9% on the nuScenes dataset. In closed-loop evaluations on CARLA’s Town05 Long and Longest6 benchmarks, the proposed method enhances driving performance, route completion, and reduces infractions. © 2022, CC BY.

关键词： Autonomous vehicles

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Learning Dictionaries from Physical-Based Interpolation for Water Network Leak Localization

arXiv

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arXiv 2023年

作者： Irofti, Paul Romero-Ben, Luis Stoican, Florin Puig, Vicenç Department of Computer Science Faculty of Mathematics and Computer Science University of Bucharest 010014 Romania The Institute for Logic and Data Science Popa Tatu 18 Bucharest010805 Romania The Institut de Robòtica i Informàtica Industrial CSIC-UPC Llorens i Artigas 4-6 Barcelona08028 Spain The Universitat Politècnica de Catalunya Campus de Terrassa Gaia Building Rambla Sant Nebridi 22 Terrassa Barcelona08222 Spain The Deptartment of Automation Control and Systems Engineering Politehnica University of Bucharest 060042 Romania

This article presents a leak localization methodology based on state estimation and learning. The first is handled by an interpolation scheme, whereas dictionary learning is considered for the second stage. The novel proposed interpolation technique exploits the physics of the interconnections between hydraulic heads of neighboring nodes in water distribution networks. Additionally, residuals are directly interpolated instead of hydraulic head values. The results of applying the proposed method to a well-known case study (Modena) demonstrated the improvements of the new interpolation method with respect to a state-of-the-art approach, both in terms of interpolation error (considering state and residual estimation) and posterior localization. Copyright © 2023, The Authors. All rights reserved.

关键词： Interpolation

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Optics for terawatt-scale photovoltaics: review and perspectives

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Advances in Optics and Photonics 2025年第1期17卷 185-294页

作者： Jäger, Klaus Aeberhard, Urs Llado, Esther Alarcon Bläsi, Benedikt Burger, Sven Ehrler, Bruno Favre, Wilfried Fejfar, Antonín Gageot, Tristan Gordon, Ivan Helmers, Henning Höhn, Oliver Isabella, Olindo Jošt, Marko Ledinský, Martin Mandal, Jyotirmoy Manley, Phillip Muñoz, Delfina Omair, Zunaid Lizcano, Juan Camilo Ortiz Paetzold, Ulrich W. Raman, Aaswath P. Sai, Hitoshi Saive, Rebecca Schmid, Martina Yablonovitch, Eli Becker, Christiane Department Optics for Solar Energy Helmholtz-Zentrum Berlin für Materialien und Energie Kekuléstraße 5 Berlin12489 Germany Computational Nano Optics Zuse Institute Berlin Takustraße 7 Berlin14195 Germany Fluxim AG Katharina-Sulzer-Platz 2 Winterthur8400 Switzerland LMPV-Sustainable Energy Materials Department AMOLF Science Park 104 Amsterdam1098 XG Netherlands Fraunhofer Institute for Solar Energy Systems ISE Heidenhofstraße 2 Freiburg79100 Germany JCMwave GmbH Bolivarallee 22 Berlin14050 Germany Université Grenoble Alpes CEA LITEN Campus INES 50 avenue du Lac Léman Le Bourget-du-Lac73375 France FZU - Institute of Physics The Czech Academy of Sciences Na Slovance 1999/2 Prague 8182 00 Czech Republic IMEC/Energyville Thor Park 8320 Genk3600 Belgium Hasselt University Martelarenlaan 42 Hasselt3500 Belgium Photovoltaic Materials and Devices Laboratory Delft University of Technology Mekelweg 4 Delft2628 CD Netherlands University of Freiburg Emmy-Noether-Str.2 Freiburg79110 Germany Faculty of Electrical Engineering University of Ljubljana Tržaška 25 Ljubljana1000 Slovenia Department of Civil and Environmental Engineering Princeton University E209A Engineering Quadrangle PrincetonNJ08544 United States Department of Electrical Engineering and Computer Sciences University of California BerkeleyCA94720 United States Institute of Microstructure Technology Karlsruhe Institute of Technology Eggenstein-Leopoldshafen76344 Germany Light Technology Institute Karlsruhe Institute of Technology Karlsruhe76131 Germany Department of Materials Science and Engineering University of California Los AngelesCA90095 United States Ibaraki Tsukuba305-8568 Japan MESA+ Institute for Nanotechnology Inorganic Materials Science University of Twente NB Enschede7522 Netherlands University of Duisburg-Essen Forsthausweg 2 Duisburg47057 Germany Faculty 1 School of Engineering – Energy and Information Hochschule für Technik und Wirtschaft Berlin

In this section, we described the various device architectures in production for crystalline-silicon PV as well as the various absorber materials being used and developed for thin-film PV. We also explained why multijunction PV technology is considered the future of PV technology. We identified four major technological challenges (Fig. 1) for future mass production and deployment of PV technology in order to achieve the goal of climate neutrality and indicated how optics could help resolve these challenges. The four main challenges (Fig. 1) are: • Sustainable production of PV systems;• Higher energy conversion efficiencies;• Higher energy output and operational lifetime;• Integration of PV systems in their environment. © 2025 Optica Publishing Group (formerly OSA). All rights reserved.

关键词： Energy conversion efficiency

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Unconventional spin polarization at Argon ion milled SrTiO3 Interfaces.

arXiv

引用

arXiv 2023年

作者： Kumar, Amrendra Shashank, Utkarsh Maharana, Suman Kumar Mohan, John Rex Gupta, Surbhi Asada, Hironori Fukuma, Yasuhiro Medwal, Rohit Department of Physics Indian Institute of Technology Kanpur Kanpur208016 India Department of Physics and Information Technology Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology 680-4 Kawazu Iizuka820-8502 Japan Department of Physics Motilal Nehru National Institute of Technology Barrister Mullah Colony Uttar PradeshTeliarganj Prayagraj211004 India Department of Electronic Devices and Engineering Graduate School of Science and Engineering Yamaguchi University Japan Research Center for Neuromorphic AI hardware Kyushu Institute of Technology Kitakyushu808-0196 Japan

Interfacial two-dimensional electron gas (2DEG) formed at the perovskite-type oxide, such as SrTiO3, has attracted significant attention due to its properties of ferromagnetism, superconductivity, and its potential application in oxide-based low-power consumption electronics. Recent studies have investigated spin-to-charge conversion at the STO interface with different materials, which could affect the efficiency of this 2DEG interface. In this report, we presented a Ar+ ion milling method to create a 2DEG at STO directly by inducing oxygen vacancies. To quantify the spin-to-charge conversion of this interface, we measured the angular-dependent spin torque ferromagnetic resonance (ST-FMR) spectra, revealing an unconventional spin polarization at the interface of of Argon ion milled STO and NiFe . Furthermore, a micromagnetic simulation for angular dependent spin torque ferromagnetic resonance (ST-FMR) has been performed, confirming the large unconventional spin type spin polarization at the interface. Copyright © 2023, The Authors. All rights reserved.

关键词： Ferromagnetism

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