Search results for " Network"

showing 10 items of 6428 documents

A data association approach to detect and organize people in personal photo collections

2011

In this paper we present a method to automatically segment a photo sequence in groups containing the same persons. Many methods in literature accom- plish to this task by adopting clustering techniques. We model the problem as the search for probable associations between faces detected in subsequent photos con- sidering the mutual exclusivity constraint: a person can not be in a photo two times, nor two faces in the same photo can be assigned to the same group. Associations have been found considering face and clothing descriptions. In particular, a two level architecture has been adopted: at the first level, associations are computed within meaningful temporal windows (situations); at the …

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSequenceDigital library Personal photo album Data association Re-identificationInformation retrievalComputer Networks and CommunicationsComputer scienceDigital librarycomputer.software_genreTask (project management)Constraint (information theory)Hardware and ArchitectureData associationFace (geometry)Media TechnologyData miningCluster analysiscomputerSoftware
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Concurrent photo sequence organization

2012

Personal photo album organization is a highly demanding domain where advanced tools are required to manage large photo collections. In contrast to many previous works, that try to solve the problem of organizing a single user photo sequence, we present a new technique to account for the concurrent photo sequence organization problem, that is the problem of organizing multiple photo sequences taken during the same event. Given a set of sequences acquired at the same place during the same temporal window by several users using different cameras, our framework is intended to capture the evolution of the event and groups photos based on temporal proximity and visual content. The method automati…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSequenceInformation retrievalPersonal photo albumComputer Networks and CommunicationsEvent (computing)Computer sciencebusiness.industryWindow (computing)Digital libraryHidden Markov ModelDomain (software engineering)Set (abstract data type)Tree (data structure)Hardware and ArchitectureMedia TechnologyConcurrent photoContent analysiComputer visionArtificial intelligencebusinessSoftwareCo-organization
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An extended JADE-S based framework for developing secure Multi-Agent Systems

2009

Agent communities are self-organized virtual spaces consisting of a large number of agents and their dynamic environments. Within a community, agents group together offering special e-services for effective, reliable, and mutual benefits. Usually, an agent community is composed of specialized agents performing one or more tasks in a single domain/sub-domain, or in highly intersecting domains. However, secure Multi- Agent Systems require severe mechanisms in order to prevent malicious attacks. Several limits affect exiting secure agents platform, such as the lack of a strong authentication system, the lack of a flexible distributed mechanism for access control and the lack of a system for st…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniService (systems architecture)AuthenticationPublic key certificateComputer sciencebusiness.industryMulti-agent systemmedia_common.quotation_subjectJADE (programming language)Access controlMulti-Agent Systems Security Biometric Authentication SystemsComputer securitycomputer.software_genreHardware and ArchitectureStrong authenticationbusinessLawcomputerSoftwareComputer networkReputationmedia_commoncomputer.programming_languageComputer Standards & Interfaces
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Reputation Management for Distributed Service-Oriented Architectures

2010

Nowadays, several network applications require that consumer nodes acquire distributed services from unknown service providers on the Internet. The main goal of consumer nodes is the selection of the best services among the huge multitude provided by the network. As basic criteria for this choice, service cost and Quality-of-Service (QoS) can be considered, provided that the underlying Service-Oriented Architecture (SOA) be augmented in order to support the declaration of this information. The correct behavior of such new SOA platforms, however, will depend on the presence of some mechanisms that allow consumer nodes to evaluate trustworthiness of service providers. This work proposes a new…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniService (systems architecture)Distributed SOAbusiness.industryComputer sciencecomputer.internet_protocolQuality of servicemedia_common.quotation_subjectMobile QoSService-oriented architectureService providercomputer.software_genreComputer securityQoS-based Service SelectionThe InternetReputation ManagementWeb servicebusinesscomputerComputer networkReputationmedia_common2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshop
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Wi-Dia: Data-Driven Wireless Diagnostic Using Context Recognition

2018

The recent densification of Wi-Fi networks is exacerbating the effects of well-known pathologies including hidden nodes and flow starvation. This paper provides an automatic diagnostic tool for detecting the source roots of performance impairments by recognizing the wireless operating context. Our tool for Wi-Fi diagnostic, named Wi-Dia, exploits machine learning methods and uses features related to network topology and channel utilization, without impact on regular network operations and working in real-time. Real-time per-link Wi-Fi diagnosis enables recovering actions for context-specific treatments. Wi-Dia classifier recognizes different classes of interference; it is jointly trained us…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - InformaticaExploitRenewable Energy Sustainability and the EnvironmentComputer sciencebusiness.industryReal-time computingEnergy Engineering and Power TechnologyExperimental dataContext recognitionComputer Science Applications1707 Computer Vision and Pattern RecognitionNetwork topologyIndustrial and Manufacturing EngineeringData modelingData-drivenComputer Networks and CommunicationArtificial IntelligenceWirelessbusinessInstrumentationClassifier (UML)2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)
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A Low Cost Solution for NOAA Remote Sensing

2018

United States National Oceanic and Atmospheric Administration (NOAA) weather satellites adopt Advanced Very High Resolution Radiometer (AVHRR) sensors to acquire remote sensing data and broadcast Automatic Picture Transmission (APT) images. The orientation of the scan lines is perpendicular to the orbit of the satellite. In this paper we propose a new low cost solution for NOAA remote sensing. More in detail, our method focuses on the possibility of directly sampling the modulated signal and processing it entirely in software enabled by recent breakthroughs on Software Defined Radios (SDR) and CPU computational speed, while keeping the costs extremely low. We aim to achieve good results wit…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSignal processingComputer Networks and CommunicationsComputer science0211 other engineering and technologiesComputer Science Applications1707 Computer Vision and Pattern RecognitionInformation System02 engineering and technologyRemote SensingRemote sensing (archaeology)Signal ProcessingInformation systemCommunications satelliteSatellite CommunicationElectrical and Electronic Engineering021101 geological & geomatics engineeringRemote sensingProceedings of the 7th International Conference on Sensor Networks
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Evaluating Correlations in IoT Sensors for Smart Buildings

2021

International audience; In this paper we introduce a dataset of environmental information obtained via indoor and outdoor sensors deployed in the SMART Infrastructure Facility of the University of Wollongong (Australia). The acquired dataset is also made open-sourced along with this paper. We also propose a novel approach based on an evolutionary algorithm to determine pairs of correlated sensors. We compare our approach with three other standard techniques on the same dataset: on average, the accuracy of the evolutionary method is about 62,92%. We also evaluate the computational time, assessing the suitability of the proposed pipeline for real-time applications.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSmart BuildingSettore INF/01 - Informaticabusiness.industryComputer science020206 networking & telecommunications02 engineering and technology7. Clean energy[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation030218 nuclear medicine & medical imaging[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]03 medical and health sciences0302 clinical medicineEvolutionary ApproachSmart Cities[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Sensors Correlation0202 electrical engineering electronic engineering information engineeringSystems engineeringbusinessInternet of ThingsIoT SensorsBuilding automation
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SpADe: Multi-Stage Spam Account Detection for Online Social Networks

2022

In recent years, Online Social Networks (OSNs) have radically changed the way people communicate. The most widely used platforms, such as Facebook, Youtube, and Instagram, claim more than one billion monthly active users each. Beyond these, news-oriented micro-blogging services, e.g., Twitter, are daily accessed by more than 120 million users sharing contents from all over the world. Unfortunately, legitimate users of the OSNs are mixed with malicious ones, which are interested in spreading unwanted, misleading, harmful, or discriminatory content. Spam detection in OSNs is generally approached by considering the characteristics of the account under analysis, its connection with the rest of …

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSocial Network Security Spam Detection Artificial IntelligenceElectrical and Electronic EngineeringIEEE Transactions on Dependable and Secure Computing
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Twitter spam account detection by effective labeling

2019

In the last years, the widespread diffusion of Online Social Networks (OSNs) has enabled new forms of communications that make it easier for people to interact remotely. Unfortunately, one of the first consequences of such a popularity is the increasing number of malicious users who sign-up and use OSNs for non-legit activities. In this paper we focus on spam detection, and present some preliminary results of a system that aims at speeding up the creation of a large-scale annotated dataset for spam account detection on Twitter. To this aim, two different algorithms capable of capturing the spammer behaviors, i.e., to share malicious urls and recurrent contents, are exploited. Experimental r…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSocial Network Security Spam Detection Twitter Data Analysis
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WSNs for structural health monitoring of historical buildings

2009

Monitoring structural health of historical heritage buildings may be a daunting task for civil engineers due to the lack of a pre-existing model for the building stability, and to the presence of strict constraints on monitoring device deployment. This paper reports on the experience maturated during a project regarding the design and implementation of an innovative technological framework for monitoring critical structures in Sicily, Italy. The usage of wireless sensor networks allows for a pervasive observation over the sites of interest in order to minimize the potential damages that natural phenomena may cause to architectural or engineering works. Moreover, the system provides real-tim…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSoftware deploymentComputer scienceDamagesCondition monitoringstructural health monitoring wireless sensor networksStructural health monitoringWireless sensor networkConstruction engineeringNatural (archaeology)Data modelingTask (project management)2009 2nd Conference on Human System Interactions
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