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Federated Network Intelligence Orchestration for Scalable and Automated FL-Based Anomaly Detection in B5G Networks

Computers, Materials & Continua 2024年第7期80卷 163-193页

作者： Pablo Fernández Saura José M.Bernabé Murcia Emilio García de la Calera Molina Alejandro Molina Zarca Jorge Bernal Bernabé antonio F.skarmeta Gómez Department of Information and Communications Engineering University of MurciaMurcia30100Spain University Center of Defense Spanish Air Force AcademySan Javier30720Spain

The management of network intelligence in Beyond 5G(B5G)networks encompasses the complex challenges of scalability,dynamicity,interoperability,privacy,and *** are essential steps towards achieving the realization of truly ubiquitous Artificial Intelligence(AI)-based analytics,empowering seamless integration across the entire Continuum(Edge,Fog,Core,Cloud).This paper introduces a Federated Network Intelligence Orchestration approach aimed at scalable and automated Federated Learning(FL)-based anomaly detection in *** leveraging a horizontal Federated learning approach based on the FedAvg aggregation algorithm,which employs a deep autoencoder model trained on non-anomalous traffic samples to recognize normal behavior,the systemorchestrates network intelligence to detect and prevent *** into a B5G Zero-touch Service Management(ZSM)aligned Security Framework,the proposal utilizes multi-domain and multi-tenant orchestration to automate and scale the deployment of FL-agents and AI-based anomaly detectors,enhancing reaction capabilities against *** proposed FL architecture can be dynamically deployed across the B5G Continuum,utilizing a hierarchy of Network Intelligence orchestrators for real-time anomaly and security threat *** includes FL enforcement operations for interoperability and extensibility,enabling dynamic deployment,configuration,and reconfiguration on *** validation of the proposed solution was conducted through dynamic orchestration,FL,and real-time anomaly detection processes using a practical test *** of key performance metrics,leveraging the 5G-NIDD dataset,demonstrates the system’s capability for automatic and near real-time handling of anomalies and attacks,including real-time network monitoring and countermeasure implementation for mitigation.

关键词： Federated learning 6G orchestration anomaly detection security policy

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From Network Functions to NetApps: The 5GASP Methodology

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Computers, Materials & Continua 2022年第5期71卷 4115-4134页

作者： Jorge Gallego-Madrid Ramon Sanchez-Iborra antonio skarmeta University of Murcia Murcia30100Spain University Center of Defense General Air Force AcademySan Javier30720Spain

As the 5G ecosystem continues its consolidation,the testing and validation of the innovations achieved by integrators and verticals service providers is of preponderant *** this line,5GASP is a European H2020-funded project that aims at easing the idea-to-market process through the creation of an European testbed that is fully automated and self-service,in order to foster rapid development and testing of new and innovative 5G Network Applications(NetApps).The main objective of this paper is to present the 5GASP’s unified methodology to design,develop and onboard NetApps within the scope of different vertical services,letting them use specific 5G ***,we examine the whole 5GASP process in a tutorial fashion by adopting a specific use case focusing on the integration of a virtual On-Board Unit(vOBU)service that permits offloading processing from the attached vehicle and serving data-access *** demonstrated,the presented workflow permits the agile,rigorous,and safe development,testing and certification of NetApps,which will enable valuable in-network services for 5G and beyond infrastructures.

关键词： 5G NetApp 5GASP vOBU

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Parking Availability Prediction with Coarse-Grained Human Mobility Data

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Computers, Materials & Continua 2022年第6期71卷 4355-4375页

作者： Aurora Gonzalez-Vidal Fernando Terroso-Sáenz antonio skarmeta University of Murcia Murcia30003Spain Universidad Católica de Murcia(UCAM) Murcia30107Spain

Nowadays,the anticipation of parking-space demand is an instrumental service in order to reduce traffic congestion levels in urban *** purpose of our work is to study,design and develop a parking-availability predictor that extracts the knowledge from human mobility data,based on the anonymized human displacements of an urban area,and also from weather *** of the existing solutions for this prediction take as contextual data the current road-traffic state defined at very high temporal or spatial ***,access to this type of fine-grained location data is usually quite limited due to several economic or privacy-related *** overcome this limitation,our proposal uses urban areas that are defined at very low spatial and temporal *** conducted several experiments using three Artificial Neural Networks:Multilayer Perceptron,Gated Recurrent Units and bidirectional Long Short Term Memory networks and we tested their suitability using different combinations of *** metrics are provided for the sake of comparison within our study and between other *** solution has been evaluated in a real-world testbed in the city of Murcia(Spain)integrating an open human-mobility dataset showing high accuracy.A MAPE between 4%and 10%was reported in horizons of 1 to 3 h.

关键词： Parking space human mobility mining recurrent neural networks prediction

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Building an interoperable space for smart agriculture

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Digital Communications and Networks 2023年第1期9卷 183-193页

作者： Ioanna Roussaki Kevin Doolin antonio skarmeta George Routis Juan antonio Lopez-Morales Ethel Claffey Manuel Mora Juan antonio Martinez Institute of Communications and Computer Systems AthensGreece Walton Institute WaterfordIreland Department of Information and Communications Engineering University of MurciaMurciaSpain School of Business Waterford Institute of TechnologyWaterfordIreland R&D Department Odin SolutionsMurciaSpain

The digital transformation in agriculture introduces new challenges in terms of data,knowledge and technology adoption due to critical interoperability issues,and also challenges regarding the identification of the most suitable data sources to be exploited and the information models that must be ***(Building an Interoperable,Data-Driven,Innovative and Sustainable European Agri-Food Sector)addresses these challenges by providing an overarching solution that integrates various heterogeneous hardware and software resources(e.g.,devices,networks,platforms)and enables the seamless sharing of data and knowledge throughout the agri-food *** paper introduces the main concepts of DEMETER and its reference architecture to address the data sharing and interoperability needs of farmers,which is validated via two rounds of 20 large-scale pilots along the DEMETER *** paper elaborates on the two pilots carried out in region of Murcia in Spain,which target the arable crops sector and demonstrate the benefits of the deployed DEMETER reference architecture.

关键词： Smart agriculture Internet of things(IoT) DEMETER Reference architecture Interoperability Agricultural information model(AIM) Pilot validation

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TinyML-Based Fall Detection for Connected Personal Mobility Vehicles

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Computers, Materials & Continua 2022年第5期71卷 3869-3885页

作者： Ramon Sanchez-Iborra Luis Bernal-Escobedo Jose Santa antonio skarmeta University Center of Defense General Air Force AcademySan Javier30720Spain University of Murcia Murcia30100Spain Technical University of Cartagena Cartagena30202Spain

A new wave of electric vehicles for personal mobility is currently crowding public *** offer a sustainable and efficient way of getting around in urban environments,however,these devices bring additional safety issues,including serious accidents for ***,taking advantage of a connected personal mobility vehicle,we present a novel on-device Machine Learning(ML)-based fall detection system that analyzes data captured from a range of sensors integrated on an on-board unit(OBU)*** the typical processing limitations of these elements,we exploit the potential of the TinyML paradigm,which enables embedding powerful ML algorithms in constrained *** have generated and publicly released a large dataset,including real riding measurements and realistically simulated falling events,which has been employed to produce different TinyML *** attained results show the good operation of the system to detect falls efficiently using embedded *** considered algorithms have been successfully tested on mass-market low-power units,implying reduced energy consumption,flash footprints and running times,enabling new possibilities for this kind of vehicles.

关键词： Personal mobility machine learning on-board unit C-ITS IoT

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Machine learning-based zero-touch network and service management:a survey

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Digital Communications and Networks 2022年第2期8卷 105-123页

作者： Jorge Gallego-Madrid Ramon Sanchez-Iborra Pedro M.Ruiz antonio F.skarmeta Department of Information and Communication Engineering University of Murcia30100MurciaSpain Department of Engineering and Applied Techniques University Center of Defense30729San Javier Air Force BaseSpain

The exponential growth of mobile applications and services during the last years has challenged the existing network ***,the arrival of multiple management solutions to cope with this explosion along the end-to-end network chain has increased the complexity in the coordinated orchestration of different segments composing the whole *** Zero-touch Network and Service Management(ZSM)concept has recently emerged to automatically orchestrate and manage network resources while assuring the Quality of Experience(QoE)demanded by *** Learning(ML)is one of the key enabling technologies that many ZSM frameworks are adopting to bring intelligent decision making to the network management *** paper presents a comprehensive survey of the state-of-the-art application of ML-based techniques to improve ZSM *** this end,the main related standardization activities and the aligned international projects and research efforts are deeply *** this dissection,the skyrocketing growth of the ZSM paradigm can be ***,different standardization bodies have already designed reference architectures to set the foundations of novel automatic network management functions and resource *** with these advances,diverse ML techniques are being currently exploited to build further ZSM developments in different aspects,including multi-tenancy management,traffic monitoring,and architecture coordination,among ***,different challenges,such as the complexity,scalability,and security of ML mechanisms,are also identified,and future research guidelines are provided to accomplish a firm development of the ZSM ecosystem.

关键词： Zero-touch network and service management(ZSM) Next generation networks(NGN) Artificial intelligence(AI) Machine learning(ML)

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Cost-effective synthesis of giant molecule acceptors(GMAs)for stable polymer solar cells

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Science China Chemistry 2024年第4期67卷 1041-1043页

作者： antonio Facchetti Department of Chemistry and the Materials Research Center Northwestern University2145 Sheridan Road60208 EvanstonIllinoisUSA School of Materials Science and Engineering Georgia Institute of Technology771 Ferst Drive30332 AtlantaGeorgiaUSA

Polymer solar cells(PSCs)have emerged as a disruptive energy technology due to simple device architecture,earthabundant elemental composition,lightweight nature,and inherent mechanical flexibility[1,2].Via a strategic acceptordonor-acceptor(A-D-A)design of small-molecule acceptors(SMAs),device power conversion efficiency(PCE)has now increased>19%.

关键词： acceptor synthesis donor

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Integrating Levels of Hierarchical Organization in Porous Organic Molecular Materials

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Nano-Micro Letters 2024年第5期16卷 134-153页

作者： Jesus Ferrando‑Soria antonio Fernandez Instituto de Ciencia Molecular(ICMol) Universidad de Valencia46980 ValenciaSpain School of Science Loughborough UniversityLoughborough LE113TUUK

Porous organic molecular materials(POMMs)are an emergent class of molecular-based materials characterized by the formation of extended porous frameworks,mainly held by non-covalent *** represent a variety of chemical families,such as hydrogen-bonded organic frameworks,porous organic salts,porous organic cages,C-H···πmicroporous crystals,supramolecular organic frameworks,π-organic frameworks,halogen-bonded organic framework,and intrinsically porous molecular *** some porous materials such as zeolites and metal organic frameworks,the integration of multiscale has been adopted to build materials with multifunctionality and optimized ***,considering the significant role of hierarchy in porous materials and the growing importance of POMMs in the realm of synthetic porous materials,we consider it appropriate to dedicate for the first time a critical review covering both ***,we will provide a summary of literature examples showcasing hierarchical POMMs,with a focus on their main synthetic approaches,applications,and the advantages brought forth by introducing hierarchy.

关键词： Porous organic molecular materials Hierarchy Hydrogen-bonded organic frameworks Porous cages Fullerene

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Litter production and leaf nutrient concentration and remobilization in response to climate seasonality in the central Amazon

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Journal of Forestry Research 2024年第3期35卷 131-141页

作者： Ricardo antonio Marenco Saul Alfredo Antezana-Vera Daniela Pereira Dias Luiz antonio Candido Instituto Nacional de Pesquisas da Amazonia Coordenagao de Uso da Terra e Mudanca ClimaticaAv.Andre Araujo 2936ManausAM69067-375Brazil Programa de pos-Graduagao em Agricultura no Tropico Umido Instituto Nacional de Pesquisas da Amazonia-INPAManausAMBrazil Unidade Academica de Ciencias Agrarias Universidade Federal de JataiBR 364km 195JataiGO 75801-615Brazil

Litterfall is the largest source of nutrients to for-est soils of tropical ***,variability in lit-terfall production,nutrient remobilization,and changes in leaf nutrient concentration with climate seasonality remain largely unknown for the central *** study meas-ured litterfall production,leaf nutrient remobilization,and leaf area index on a forest plateau in the central *** was measured at monthly intervals during 2014,while nitrogen,phosphorus,potassium,calcium and mag-nesium concentrations of leaf litter and canopy leaves were measured in the dry and rainy seasons,and remobilization rates *** area index was also recorded in the dry and rainy *** litterfall varied from 33.2(in the rainy season)to 87.6 g m^(-2) in the dry season,while leaf area index increased slightly in the rainy *** seasonality had no effect on concentrations of nitrogen,calcium,and magnesium,whereas phosphorous and potassium responded to rainfall seasonality *** phosphorous increased,potassium decreased during the dry *** seasons,nitrogen,potassium,and phosphorous decreased in leaf litter;calcium increased in leaf litter,while magnesium remained unaffected with leaf ***,the five nutrients had similar remobilization rates over the *** absence of climate seasonality on nutrient remobilization suggests that the current length of the dry season does not alter nutrient remobilization rates but this may change as dry periods become more prolonged in the future due to climate change.

关键词： Throughfall Nutrient cycling Climatic seasonality Leaf mass per area

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SARS-CoV-2 immunity

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Cellular & Molecular Immunology 2024年第2期21卷 101-102页

作者： antonio Bertoleti Program in Emerging Infectious Diseases Duke-NUS Medical SchoolSingaporeSingapore

Four years have swiftly passed since the identification of a novel coronavirus from patients with pneumonia that signs the start of the COVID-19 pandemic[1].The world's social and economic landscape has largely reverted to its prepandemic state,and different issues unrelated to the pandemic are currently impacting various regions *** scientific community,which quickly modified its research focus during the initial years of the pandemic to generate a wealth of scientific data that helped in understanding and controlling SARS-CoV-2 infection,is also facing a new phase in the study of virus-host interactions.

关键词： immunity globally landscape

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