Search results for " Network"

showing 10 items of 6428 documents

A Knowledge Management System using Bayesian Network

2009

In today's world, decision support and knowledge management processes are strategic and interdependent activities in many organizations. The companies' interest on a correct knowledge management is grown, more than interest on the mere knowledge itself. This paper proposes a Knowledge Management System based on Bayesian networks. The system has been tested collecting and using data coming from projects and processes typical of ICT companies, and provides a Document Management System and a Decision Support system to share documents and to plan how to best use firms' knowledge.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniDecision support systemKnowledge managementbusiness.industryComputer scienceData managementKnowledge engineeringKnowledge value chainIntelligent decision support systemDocument management systemProcedural knowledgecomputer.software_genreClinical decision support systemKnowledge-based systemsKnowledge extractionKnowledge baseInformation and Communications TechnologyOrganizational learningPersonal knowledge managementOntologyDomain knowledgeKnowledge Management Bayesian Network Artificial Intelligencebusinesscomputer
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Towards a deep-learning-based methodology for supporting satire detection

2021

This paper describes an approach for supporting automatic satire detection through effective deep learning (DL) architecture that has been shown to be useful for addressing sarcasm/irony detection problems. We both trained and tested the system exploiting articles derived from two important satiric blogs, Lercio and IlFattoQuotidiano, and significant Italian newspapers.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniDeep Neural NetworksSettore INF/01 - InformaticaVisual languagesNatural Language processingDeep learningSatire Detection
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Path Modeling and Retrieval in Distributed Video Surveillance Databases

2012

We propose a framework for querying a distributed database of video surveillance data in order to retrieve a set of likely paths of a person moving in the area under surveillance. In our framework, each camera of the surveillance system locally pro- cesses the data and stores video sequences in a storage unit and the metadata for each detected person in the distributed database. A pedestrian’s path is formulated as a dynamic Bayesian network (DBN) to model the dependencies between subsequent observa- tions of the person as he makes his way through the camera net- work. We propose a tool by which the analyst can pose queries about where a certain person appeared while moving in the site duri…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniDistributed databaseDatabasebusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONcomputer.software_genreComputer Science ApplicationsData modelingMetadataSet (abstract data type)Beam search camera network dynamic Bayesian network (DBN) path modeling path retrievalSignal ProcessingPath (graph theory)Media TechnologyBeam searchComputer visionArtificial intelligenceData miningElectrical and Electronic EngineeringbusinessHidden Markov modelcomputerDynamic Bayesian network
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DC4CD

2017

In this article, we present Distributed Computing for Constrained Devices (DC4CD), a novel software architecture that supports symbolic distributed computing on wireless sensor networks. DC4CD integrates the functionalities of a high-level symbolic interpreter, a compiler, and an operating system, and includes networking abstractions to exchange high-level symbolic code among peer devices. Contrarily to other architectures proposed in the literature, DC4CD allows for changes at runtime, even on deployed nodes of both application and system code. Experimental results show that DC4CD is more efficient in terms of memory usage than existing architectures, with which it also compares well in te…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniDistributed symbolic processing Forth high-level event handling inter- pretation and compilation of symbolic code on resource-constrained devices wireless programming of sensor network nodesSystem codeComputer scienceDistributed computing020208 electrical & electronic engineering020206 networking & telecommunications02 engineering and technologySymbolic codecomputer.software_genreHardware and Architecture0202 electrical engineering electronic engineering information engineeringCompilerSoftware architectureWireless sensor networkcomputerSoftwareInterpreterACM Transactions on Embedded Computing Systems
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Multisensor Data Fusion in Pervasive Artificial Intelligence Systems

Intelligent systems designed to manage smart environments exploit numerous sensing and actuating devices, pervasively deployed so as to remain invisible to users and subtly learn their preferences and satisfy their needs. Nowadays, such systems are constantly evolving and becoming ever more complex, so it is increasingly difficult to develop them successfully. A possible solution to this problem might lie in delegating certain decisions to the machines themselves, making them more autonomous and able to self-configure and self-manage. This work presents a multi-tier architecture for a complete pervasive system capable of understanding the state of the surrounding environment, as well as usi…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniDynamic Bayesian NetworkMulti-sensor data fusionContext awareness; Dynamic Bayesian Networks; Multi-sensor data fusionContext awarene
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Robust Data Gathering for Wireless Sensor Networks

2006

2005 13th IEEE International Conference on Networks jointly held with the 2005 7th IEEE Malaysia International Conference on Communications, Proceedings Volume 1, 2005, Article number 1635527, Pages 469-474 2005 13th IEEE International Conference on Networks jointly held with the 2005 7th IEEE Malaysia International Conference on Communications; Kuala Lumpur; Malaysia; 16 November 2005 through 18 November 2005; Category number05EX1235; Code 69262 Robust data gathering for wireless sensor networks (Conference Paper) Ortolani, M. , Gatani, L. , Lo Re, G. Dipartimento di Ingegneria Informatica, Università degli Studi di Palermo, Viale delle Scienze Parco d'Orleans, 90128 Palermo, Italy View re…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniDynamic Source RoutingStatic routingWi-Fi arrayNetwork packetVisual sensor networkWireless networkComputer scienceWireless ad hoc networkbusiness.industryRetransmissionRetransmissionDistributed computingWireless Routing ProtocolWireless WANGeographic routingKey distribution in wireless sensor networksLink-state routing protocolMobile wireless sensor networkRouting algorithmData gatheringbusinessWireless sensor networkWireless sensor networkComputer network2005 13th IEEE International Conference on Networks Jointly held with the 2005 IEEE 7th Malaysia International Conf on Communic
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DESIGN METHODOLOGIES TO ENABLE COLLECTIVE INTELLIGENCE IN PLATFORMS FOR HUMAN-HUMAN INTERACTION

2014

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniEmergent KnowledgeFLWORHuman to human interactionKnowledge DiscoveryCollaboration frameworkCollective IntelligenceXQuerySocial NetworkCollective Knowledge SystemQRouteMelinguistic researchdatabase XMLLinguistic Atlas of Sicilyexchange information
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Context-awareness for multi-sensor data fusion in smart environments

2016

Multi-sensor data fusion is extensively used to merge data collected by heterogeneous sensors deployed in smart environments. However, data coming from sensors are often noisy and inaccurate, and thus probabilistic techniques, such as Dynamic Bayesian Networks, are often adopted to explicitly model the noise and uncertainty of data. This work proposes to improve the accuracy of probabilistic inference systems by including context information, and proves the suitability of such an approach in the application scenario of user activity recognition in a smart home environment. However, the selection of the most convenient set of context information to be considered is not a trivial task. To thi…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniEngineeringMulti-sensor data fusionbusiness.industryProbabilistic logicContext awareneInferencecomputer.software_genreMachine learningSensor fusionTheoretical Computer ScienceActivity recognitionDynamic Bayesian NetworkHome automationComputer ScienceContext awarenessSmart environmentData miningArtificial intelligencebusinesscomputerDynamic Bayesian network
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Programming distributed applications with symbolic reasoning on WSNs

2015

Programming Wireless Sensor Networks (WSNs) is a complex task for which existing approaches adopt rigid architectures that are only suitable for specific application fields. In previous papers we introduced a programming methodology and a lightweight middleware based on high-level programming and executable code exchange for distributed processing on WSNs. In this paper, we show how high-level programming can be effectively used on WSNs to implement symbolic reasoning. In order to prove the feasibility of our approach, we present a Fuzzy Logic system where the value updates and the rule evaluations are performed in a distributed way. Through the proposed methodology, we discuss the developm…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniEvent-driven programmingEngineeringAmbient intelligenceWireless Sensor Networks (WSN)business.industryDistributed computingcomputer.file_formatcomputer.software_genreSoftware development processKey distribution in wireless sensor networksMiddleware (distributed applications)HVACExecutableDistributed ComputingbusinessSymbolic ReasoningcomputerWireless sensor network2015 International Conference on Computing, Networking and Communications (ICNC)
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A Fog-Based Application for Human Activity Recognition Using Personal Smart Devices

2019

The diffusion of heterogeneous smart devices capable of capturing and analysing data about users, and/or the environment, has encouraged the growth of novel sensing methodologies. One of the most attractive scenarios in which such devices, such as smartphones, tablet computers, or activity trackers, can be exploited to infer relevant information is human activity recognition (HAR). Even though some simple HAR techniques can be directly implemented on mobile devices, in some cases, such as when complex activities need to be analysed timely, users’ smart devices can operate as part of a more complex architecture. In this article, we propose a multi-device HAR framework that exploits the fog c…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniExploitComputer Networks and CommunicationsComputer sciencebusiness.industryBandwidth (signal processing)Activity tracker020206 networking & telecommunicationsCloud computing02 engineering and technologyActivity recognitionHuman–computer interactionHuman activity recognition mobile crowdsensing fog computing0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingSmart environmentbusinessMobile deviceWearable technologyACM Transactions on Internet Technology
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