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Near-Field Communications: A Comprehensive Survey

IEEE Communications Surveys and Tutorials 2024年

作者： Liu, Yuanwei Ouyang, Chongjun Wang, Zhaolin Xu, Jiaqi Mu, Xidong Swindlehurst, A. Lee School of Electronic Engineering and Computer Science LondonE1 4NS United Kingdom Kyung Hee University Department of Electronic Engineering Gyeonggi-do Yongin-si17104 Korea Republic of University College Dublin School of Electrical and Electronic Engineering College of Engineering and Architecture DublinD04 V1W8 Ireland Queen Mary University of London School of Electronic Engineering and Computer Science LondonE1 4NS United Kingdom University of California Department of Electrical Engineering and Computer Science IrvineCA92697 United States BelfastBT3 9DT United Kingdom

Multiple-antenna technologies are evolving towards larger aperture sizes, extremely high frequencies, and innovative antenna types. This evolution is fostering the emergence of near-field communications (NFC) in future wireless systems. Considerable attention has been directed towards this cutting-edge technology due to its potential to enhance the capacity of wireless networks by introducing increased spatial degrees of freedom (DoFs) in the range domain. Within this context, a comprehensive review of the state of the art on NFC is presented, with a specific focus on its 1) fundamental operating principles, 2) channel modeling, 3) performance analysis, 4) signal processing techniques, and 5) integration with other emerging applications. Specifically, 1) the basic principles of NFC are characterized from both physics and communications perspectives, unveiling its unique properties in contrast to far-field communications. 2) Building on these principles, deterministic and stochastic near-field channel models are explored for spatially-discrete (SPD) and continuous-aperture (CAP) arrays. 3) Based on these models, existing contributions to near-field performance analysis are reviewed in terms of DoFs/effective DoFs (EDoFs), the power scaling law, and transmission rate. 4) Existing signal processing techniques for NFC are systematically surveyed, which include channel estimation, beamforming design, and low-complexity beam training. 5) Major issues and research opportunities in incorporating near-field models into other promising technologies are identified to advance NFC's deployment in next-generation networks. Throughout this paper, promising directions are highlighted to inspire future research endeavors in the realm of NFC, underscoring its significance in the advancement of wireless communication technologies. © 1998-2012 IEEE.

关键词： Near field communication

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The ANTARES detector: Two decades of neutrino searches in the Mediterranean Sea

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Physics Reports 2025年 1121-1124卷 1-46页

作者： Albert, A. Alves, S. André, M. Ardid, M. Ardid, S. Aubert, J.-J. Aublin, J. Baret, B. Basa, S. Becherini, Y. Belhorma, B. Benfenati, F. Bertin, V. Biagi, S. Boumaaza, J. Bouta, M. Bouwhuis, M.C. Brânzaş, H. Bruijn, R. Brunner, J. Busto, J. Caiffi, B. Calvo, D. Campion, S. Capone, A. Carenini, F. Carr, J. Carretero, V. Cartraud, T. Celli, S. Cerisy, L. Chabab, M. Moursli, R. Cherkaoui El Chiarusi, T. Circella, M. Coelho, J.A.B. Coleiro, A. Coniglione, R. Coyle, P. Creusot, A. Díaz, A.F. De Martino, B. Rosso, I. Del Distefano, C. Palma, I. Di Donzaud, C. Dornic, D. Drouhin, D. Eberl, T. Eddymaoui, A. van Eeden, T. van Eijk, D. Hedri, S. El Khayati, N. El Enzenhöfer, A. Fermani, P. Ferrara, G. Filippini, F. Fusco, L. Gagliardini, S. García-Méndez, J. Oliver, C. Gatius Gay, P. Geißelbrecht, N. Glotin, H. Gozzini, R. Ruiz, R. Gracia Graf, K. Guidi, C. Haegel, L. van Haren, H. Heijboer, A.J. Hello, Y. Hennig, L. Hernández-Rey, J.J. Hößl, J. Huang, F. Illuminati, G. Jisse-Jung, B. de Jong, M. de Jong, P. Kadler, M. Kalekin, O. Katz, U. Kouchner, A. Kreykenbohm, I. Kulikovskiy, V. Lahmann, R. Lamoureux, M. Lazo, A. Lefèvre, D. Leonora, E. Levi, G. Stum, S. Le Loucatos, S. Manczak, J. Marcelin, M. Margiotta, A. Marinelli, A. Martínez-Mora, J.A. Migliozzi, P. Moussa, A. Muller, R. Navas, S. Nezri, E. Fearraigh, B.Ó. Oukacha, E. Păun, A.M. Păvălaş, G.E. Peña-Martínez, S. Perrin-Terrin, M. Piattelli, P. Poirè, C. Popa, V. Pradier, T. Randazzo, N. Real, D. Riccobene, G. Romanov, A. Losa, A. Sánchez Saina, A. Greus, F. Salesa Samtleben, D.F.E. Sanguineti, M. Sapienza, P. Schüssler, F. Seneca, J. Spurio, M. Stolarczyk, Th. Taiuti, M. Tayalati, Y. Vallage, B. Vannoye, G. Van Elewyck, V. Viola, S. Vivolo, D. Wilms, J. Zavatarelli, S. Zegarelli, A. Zornoza, J.D. Zúñiga, J. Université de Strasbourg CNRS IPHC UMR 7178 Strasbourg F-67000 France Université de Haute Alsace Mulhouse F-68100 France IFIC - Instituto de Física Corpuscular (CSIC - Universitat de València) c/ Catedrático José Beltrán 2 E-46980 Paterna Valencia Spain Technical University of Catalonia Laboratory of Applied Bioacoustics Rambla Exposició Vilanova i la Geltrú Barcelona 08800 Spain Institut d'Investigació per a la Gestió Integrada de les Zones Costaneres (IGIC) - Universitat Politècnica de València. C/ Paranimf 1 Gandia 46730 Spain Aix Marseille Univ CNRS/IN2P3 CPPM Marseille France Université Paris Cité CNRS Astroparticule et Cosmologie Paris F-75013 France Aix Marseille Univ CNRS CNES LAM Marseille France National Center for Energy Sciences and Nuclear Techniques B.P.1382 R. P.10001 Rabat Morocco INFN - Sezione di Bologna Viale Berti-Pichat 6/2 Bologna 40127 Italy Dipartimento di Fisica e Astronomia dell'Università di Bologna Viale Berti-Pichat 6/2 Bologna 40127 Italy INFN - Laboratori Nazionali del Sud (LNS) Via S. Sofia 62 Catania 95123 Italy University Mohammed V in Rabat Faculty of Sciences 4 av. Ibn Battouta B.P. 1014 Rabat R.P. 10000 Morocco University Mohammed I Laboratory of Physics of Matter and Radiations B.P.717 Oujda 6000 Morocco Nikhef Science Park Amsterdam Netherlands Institute of Space Science - INFLPR subsidiary 409 Atomistilor Street Măgurele Ilfov 077125 Romania Universiteit van Amsterdam Instituut voor Hoge-Energie Fysica Science Park 105 Amsterdam 1098 XG Netherlands INFN - Sezione di Genova Via Dodecaneso 33 Genova 16146 Italy INFN - Sezione di Roma P.le Aldo Moro 2 Roma 00185 Italy Dipartimento di Fisica dell'Università La Sapienza P.le Aldo Moro 2 Roma 00185 Italy LPHEA Faculty of Science - Semlali Cadi Ayyad University P.O.B. 2390 Marrakech Morocco INFN - Sezione di Bari Via E. Orabona 4 Bari 70126 Italy Department of Computer Architecture and Technology/CITIC University of Granada Granada 18

Interest for studying cosmic neutrinos using deep-sea detectors has increased after the discovery of a diffuse flux of cosmic neutrinos by the IceCube collaboration and the possibility of wider multi-messenger studies with the observations of gravitational waves. The ANTARES detector was the first neutrino telescope in seawater, operating successfully in the Mediterranean Sea for more than a decade and a half. All challenges related to the operation in the deep sea were accurately addressed by the collaboration. Deployment and connection operations became smoother over time;data taking and constant re-calibration of the detector due to the variable environmental conditions were fully automated. A wealth of results on the subject of astroparticle physics, particle physics and multi-messenger astronomy have been obtained, despite the relative modest size of the detector, paving the way to a new generation of larger undersea detectors. This review summarizes the efforts by the ANTARES collaboration that made the possibility to operate neutrino telescopes in seawater a reality and the results obtained in this endeavor. © 2025 Elsevier B.V.

关键词： Multimessenger astrophysics Neutrino astrophysics Neutrino detectors Neutrino physics

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Application deployment on catallactic grid middleware

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IEEE Distributed Systems Online 2006年第12期7卷 1-1页

作者： Joita, Liviu Rana, Omer F. Chacín, Pablo Chao, Isaac Freitag, Felix Navarro, Leandro Ardaiz, Oscar Cardiff University United Kingdom Technical University of Catalonia Spain Public University of Navarra Spain School of Computer Science Welsh eScience Centre Cardiff Univ. 5 The Parade Roath Cardiff CF24 3AA United Kingdom Computer Architecture Dept. Technical Univ. of Catalonia Campus Nord D6 Jordi Girona 1-3 Barcelona 08035 Spain Dept. of Mathematics and Informatics Public Univ. of Navarra Campus de Arrosadia Pamplona 31006 Spain

An architecture integrating Grid applications with a Catallactic middleware, which can be applied to computational and data grids to host the dynamic interrelated resource and service markets, is discussed. The layered middleware architecture provides a clear separation of concern among five layers, in which the catallactic middleware comprising economic algorithms, economic framework, and peer agent layers is sandwitched between the application layer and the base platform. Applications interact with Grid market middleware to obtain the necessary services to fulfill a particular function, while the base platform supports the applications that provide the Grid services' hosting environment. Economics algorithms layer implements domain-and platform-independent economics algorithms for resource allocation, economic framework layer furnish the primitives to support catallactic algorithm implementation, and peer agent layer is responsible for interfacing with the underlying platform.

关键词： Middleware

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NOMA: A Novel Reliability Improvement Methodology for 3-D IC-based Neuromorphic Systems

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IEEE Transactions on Components, Packaging and Manufacturing Technology 2024年

作者： Nguyen, Ngo-Doanh Dang, Khanh N. Ahmed, Akram Ben Abdallah, Abderazek Ben Tran, Xuan-Tu The University of Aizu The Graduate School of Computer Science and Engineering Fukushima Aizu-Wakamatsu965-8580 Japan Vietnam National University The Information Technology Institute Hanoi10000 Viet Nam National Institute of Advanced Industrial Sciences and Technology The Digital Architecture Research Center 2-3-26 Aomi Koto-ku Tokyo Japan

Hardware is the foundation of trust for all real-time applications and is especially crucial in Artificial Intelligence (AI). The growing reliance on AI for various tasks has raised concerns about the reliability of the hardware. Extensive research has shown that hardware faults arising from the manufacturing process or device variation can significantly impact the precision and accuracy of AI applications. This also applies to 3-D IC (Three-Dimensional Integrated Circuit)-based Spiking Neural Networks (SNNs), despite their noise resilience, low-power, and low memory footprint advantages. This is because, in addition to the mentioned hardware faults, thermal dissipation on 3-D ICs can negatively affect the memory stacked on upper dies. Hence, this article proposes a methodology called NOMA (Network-of-Memory architecture) to enhance the reliability of 3-D IC-based SNNs by replacing the defective critical synaptic weights in high-priority layers with lower-priority ones. The method is assessed on multiple memory-on-logic architectures with various memory technologies such as SRAM, eDRAM, STT-RAM, and RRAM. As a result, for the 45nm SRAM library, the accuracy degradation improves by roughly 56% at a BER of 0.05 with a timing overhead of 3.538μs and a power overhead of 390.796nJ. © 2011-2012 IEEE.

关键词： Memory architecture

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Improving Semantic Relatedness Assessments: Ontologies Meet Textual Corpora

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Procedia computer science 2016年 96卷 365-374页

作者： Montserrat Batet David Sánchez Internet Interdisciplinary Institute (IN3) Universitat Oberta de Catalunya Av. Carl Friedrich Gauss 5 Parc Mediterrani de la Tecnologia 08860 Castelldefels Catalonia Spain UNESCO Chair in Data Privacy Department of Computer Science and Mathematics Universitat Rovira i Virgili Av. Països Catalans 26 43007 Tarragona Catalonia Spain

Even though the calculation of the semantic similarity between textual entities has received a lot of attention by the research community, the more general notion of semantic relatedness (which considers both taxonomic and non-taxonomic knowledge) has been significantly less studied and, in general, stays one step behind in terms of accuracy. In this paper, we improve semantic relatedness assessments by aggregating the highly-accurate ontology-based estimation of semantic similarity with the distributional resemblance of textual terms computed from large textual corpora. As a result, our approach is able to improve the accuracy of related works on a standard benchmark.

关键词： knowledge semantics semantic relatednes semantic similarity ontologies textual information distribution.

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LLM-assisted Bug Identification and Correction for Verilog HDL

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ACM Transactions on Design Automation of Electronic Systems 1000年

作者： Khushboo Qayyum Chandan Kumar Jha Sallar Ahmadi-Pour Muhammad Hassan Rolf Drechsler Cyber Physical Systems DFKI Bremen Germany FB3 University of Bremen Bremen Germany Group of Computer Architecture University of Bremen Faculty 3 Mathematics and Computer Science Bremen Germany Faculty 03 Mathematics and Computer Science Computer Science University of Bremen Bremen Germany Computer Science University of Bremen Faculty 03 Mathematics and Computer Science Bremen Germany

As technology continues to advance, it becomes increasingly integrated into daily life facilitating complex tasks across a range of environments. While some applications such as smartphones and smartwatches are less critical, others like healthcare devices and autonomous vehicles demand bug-free performance to prevent financial loss or harm. Traditionally, simulation-based testing and formal verification played a major role in ensuring a bug-free device. However, the simulation of bigger systems is limited to a definite number of scenarios on the Design under Verification (DUV). Hence, it is unable to explore all possible inputs that can occur. Formal verification, on the other hand, offers a higher level of assurance through mathematical proofs but is both time-consuming and suffers from scalability issues, especially as designs grow in complexity. Recently, Large Language Models (LLMs) have shown promise in tasks previously limited to human expertise. Their natural language processing capabilities can assist in handling extensive specifications and source code, particularly in debugging hardware descriptions and analyzing security and functionality. The utilization of Retrieval Augmented Generation (RAG) has further enhanced LLMs by incorporating large specification or source code bases, thereby improving their bug-identification and correction capabilities. While recent advancements in LLMs, particularly with RAG, have yielded promising results in bug identification and correction for a small class of hardware bugs, significant gaps remain in their full potential for systematically addressing a wide range of hardware bugs. For instance, existing LLM methodologies struggle to detect bugs involving incorrect constant values, i.e., the use of wrong constants in source code. This limitation underscores the need for further exploration in utilizing LLMs to fully optimize the verification process. To bridge this gap, we propose a 3-phased 4-stage LLM-assisted systemati

关键词： Large Language Model Hardware Description Language Bug Identification Bug Fixing

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Ensuring privacy in a Distributed Video Coding surveillance scenario

Ensuring privacy in a Distributed Video Coding surveillance ...

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IEEE International Conference on Consumer Electronics - Berlin (ICCE-Berlin)

作者： J. L. Martínez J.M. Villalón J.H. Parreño P. Cuenca H. Kalva Architecture and Technology of Computing Systems Group Complutense University Ciudad Universitaria s/n Madrid SPAIN Instituto de Investigacion en Informatica de Albacete (I3A) Campus Universitario Albacete SPAIN Department of Computer Science and Engineering Florida Atlantic University FL USA

In this paper, a permutation scheme is introduced for Distributed Video Coding. The main goal is to preserve privacy and security in video surveillance video communications and can be adapted for other scenarios. The proposed approach consists to apply permutation based encryption to the DVC scenario. The permutation is defined by a secret key which is required at the decoder for decompression providing security. Simulation results show that the reference architecture and the permutation-based proposed have similar rate distortion performance.

关键词： Encryption Privacy Decoding Correlation Bit rate

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Meta-Learning Based Infrared Ship Object Detection Model for Generalization to Unknown Domains

SSRN

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SSRN 2023年

作者： Feng, Hui Tang, Wei Xu, Haixiang Jiang, Chengxin Ge, Shuzhi Sam He, Jianhua Key Laboratory of High-Performance Ship Technology of Ministry of Education Wuhan University of Technology Wuhan430063 China School of Naval Architecture Ocean and Energy Power Engineering Wuhan University of Technology Wuhan430063 China Department of Electrical and Computer Engineering National University of Singapore Singapore117576 Singapore School of Computer Science and Electronic Engineering University of Essex CO4 3SQ United Kingdom

Infrared images exhibit considerable variations in probability distributions, stemming from the utilization of distinct infrared sensors and the influence of diverse environmental conditions. The variations pose great challenges for deep learning models to detect ship objects and adapt to unseen maritime environments. To address the domain shift problem, we propose an end-to-end infrared ship object detection model based on meta-learning neural network to improve domain adaptation for target domain where data is not available at training phase. Different from existing domain generalization methods, the novelty of our model lies in the effective exploition of meta-learning and domain adaptation, ensuring that the extracted domain-independent features are meaningful and domain-invariant at the semantic level. Firstly, a double gradient-based meta-learning algorithm is designed to solve the common optimal descent direction between different domains through two gradient updates in the inner and outer loops. The algorithm enables extraction of domain-invariant features from the pseudo-source and pseudo-target domain data. Secondly, a domain discriminator with dynamic-weighted gradient reversal layer (DWGRL) is designed to accurately classify domain-invariant features and provide additional global supervision information. Finally, a multi-scale feature aggregation method is proposed to improve the extraction of multi-scale domain-invariant features. It can effectively fuse local features at different scales and global features of targets. Extensive experimental results conducted in real nighttime water surface scenes demonstrate that the proposed model achieves very high detection accuracy on target domain data, even no target domain data was used during the training phase. Compared to the existing methods, our method not only improves the detection accuracy of infrared ships by 18%, but also exhibits the smallest standard deviation with a value of 0.93, indicating its su

关键词： Object detection

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Fruit Colour Evolution of Three Spanish Pomegranate Clones

Fruit Colour Evolution of Three Spanish Pomegranate Clones

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第三届国际石榴及地中海气候小水果学术研讨会

作者： J.J.Martínez P.Legua P.Melgarejo-Sánchez R.Martínez Fca.Hemández P.Melgarejo F.J.Manera Department of Plant Science and Microbiology Polytechnic School of Orihuela Miguel Hernández University Ctra.de Beniel km 32.03312 Orihuela Alicante Spain Department of Physics and Computer Architecture Polytechnic School of Orihuela Miguel Hernández University Ctra.de Beniel km 32.03312 OrihuelaAlicante Spain

In this work the evolution of the external colour of pomegranate during its ripening on the tree has been studied, in three cultivars of pomegranate cultivated in homogeneous conditions.

关键词： fruit chroma hue CIELAB pomegranate colour

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A Metadata-Based Ecosystem to Improve the FAIRness of Research Software

arXiv

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arXiv 2023年

作者： Kuckertz, Patrick Göpfert, Jan Karras, Oliver Neuroth, David Schönau, Julian Pueblas, Rodrigo Ferenz, Stephan Engel, Felix Pflugradt, Noah Weinand, Jann M. Nieße, Astrid Auer, Sören Stolten, Detlef Jülich52425 Germany TIB - Leibniz Information Centre for Science and Technology Hanover30167 Germany Department for Computer Science Carl von Ossietzky University of Oldenburg Oldenburg26129 Germany University of Hannover L3S Research Center Hannover30167 Germany RWTH Aachen University Chair for Fuel Cells Faculty of Mechanical Engineering Aachen52062 Germany

The reuse of research software is central to research efficiency and academic exchange. The application of software enables researchers with varied backgrounds to reproduce, validate, and expand upon study findings. Furthermore, the analysis of open source code aids in the comprehension, comparison, and integration of approaches. Often, however, no further use occurs because relevant software cannot be found or is incompatible with existing research processes. This results in repetitive software development, which impedes the advancement of individual researchers and entire research communities. In this article, the DataDesc ecosystem is presented – an approach to describing data models of software interfaces with detailed and machine-actionable metadata. In addition to a specialized metadata schema, an exchange format and support tools for easy collection and the automated publishing of software documentation are introduced. This approach practically increases the FAIRness, i.e., findability, accessibility, interoperability, and so the reusability of research software, as well as effectively promotes its impact on research. © 2023, CC BY.

关键词： computer software reusability

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