Search results for "NETWORKS"

showing 10 items of 3260 documents

SURFACE ROUGHNESS PREDICTION OF ELECTRO-DISCHARGE MACHINED COMPONENTS USING ARTIFICIAL NEURAL NETWORKS

2016

Electro-Discharge machining (EDM) is a thermal process comprising a complex metal removal mechanism, which involves the formation of a plasma channel between the tool and the workpiece electrodes leading to the melting and evaporation of the material to be removed. EDM is considered especially suitable for machining complex contours with high accuracy, as well as for materials that are not amenable to conventional removal methods. However, several phenomena negatively affecting the surface integrity of EDMed workpieces need to be taken into account and studied in order to achieve the optimization of the process. Recently, artificial neural networks (ANN) have emerged as a novel modeling tec…

Settore ICAR/09 - Tecnica Delle CostruzioniArtificial neural networks (ANNs)electro-discharge machining (EDM)back propagation neural networks (BPNNs)Artificial neural networks (anns) back propagation neural networks (bpnns) mean surface roughness electro-discharge machining (edm)Artificial neural networks (ANNs); back propagation neural networks (BPNNs); mean surface roughness; electro-discharge machining (EDM)mean surface roughness
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Revealing the nature of metakaolin-based concrete materials using artificial intelligence techniques

2022

In this study, a model for the estimation of the compressive strength of concretes incorporating metakaolin is developed and parametrically evaluated, using soft computing techniques. Metakaolin is a component extensively employed in recent decades as a means to reduce the requirement for cement in concrete. For the proposed models, six parameters are accounted for as input data. These are the age at testing, the metakaolin percentage in relation to the total binder, the water-to-binder ratio, the percentage of superplasticizer, the binder to sand ratio and the coarse to fine aggregate ratio. For training and verification of the developed models a database of 867 experimental specimens has …

Settore ICAR/09 - Tecnica Delle CostruzioniGeneral Materials ScienceBuilding and ConstructionArtificial neural networks Compressive strength Concrete Machine learning Metakaolin Mix designCivil and Structural Engineering
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Palermo si cura. Pratiche culturali di mutuo soccorso come risposta alle fragilità della città (post)pandemica

2023

In un quadro di riferimento in cui la crisi è globalizzata ma diseguale e in mancanza di un sistema di welfare capace di rispondere alle urgenze dei contesti e dei gruppi sociali più marginalizzati, una risposta ai nuovi bisogni sociali ed individuali è stata offerta da reti solidali e da pratiche di mobilitazione dal basso che svolgono un ruolo di agency territoriale, spesso indipendentemente o in assenza di Istituzioni. Nel contesto palermitano un impegno agito da una pluralità di soggetti culturali già attivi sul territorio, riuniti in un’assemblea pubblica (Palermo si cura), durante il periodo del primo lockdown hanno dato vita ad azioni di mutuo soccorso per rispondere all’emergenza ec…

Settore ICAR/21 - UrbanisticaIn a framework in which the crisis is globalized but unequal and in the absence of a welfare system capable of responding to the urgencies of the most marginalized contexts and social groups a response to the new social and individual needs has been offered by networks of solidarity and from bottom-up mobilization practices that play a role of territorial agency often independently or in the absence of institutions. In the Palermo context a commitment made by a plurality of cultural subjects already active in the area gathered in a public assembly (Palermo si cura) during the period of the first lockdown gave rise to mutual aid actions to respond to the economic emergency and social and offer a proposal to cure the fragility of the city based not on charity but on the claim of a political dimension of collective action. Starting from the analysis of initiatives such as "Un sorriso per Ballarò" and "Abbiamo un (bi)sogno" the contribution analyzes the role the incidence and the fragility of these experiences in providing answers - often filling gaps - to a general interest and how these processes of value creation can hopefully contribute to the construction of local government policies capable of addressing emerging issues.
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Knowledge Extraction from Biological and Social Graphs

2022

Many problems from the real life deal with the generation of enormous, varied, dynamic, and interconnected datasets coming from different and heterogeneous sources. This PhD Thesis focuses on the proposal of novel knowledge extraction techniques from graphs, mainly based on Big Data methodologies. Two application contexts are considered: Biological and Medical data, with the final aim of identifying biomarkers for diagnosis, treatment, prognosis, and prevention of diseases. Social data, for the optimization of advertising campaigns, the comparison of user profiles, and neighborhood analysis.

Settore INF/01 - InformaticaBiological networks Social networks Big data
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A Quantum-Inspired Classifier for Early Web Bot Detection

2022

This paper introduces a novel approach, inspired by the principles of Quantum Computing, to address web bot detection in terms of real-time classification of an incoming data stream of HTTP request headers, in order to ensure the shortest decision time with the highest accuracy. The proposed approach exploits the analogy between the intrinsic correlation of two or more particles and the dependence of each HTTP request on the preceding ones. Starting from the a-posteriori probability of each request to belong to a particular class, it is possible to assign a Qubit state representing a combination of the aforementioned probabilities for all available observations of the time series. By levera…

Settore INF/01 - InformaticaComputer Networks and Communicationsbot detectionData modelsTime series analysisearly decisionquantum-inspired computingTime measurementCorrelationCostsmultinomial classificationPredictive modelsbot detection; Correlation; Costs; Data models; early decision; multinomial classification; multivariate sequence classification; Predictive models; quantum-inspired computing; sequential classification; Task analysis; Time measurement; Time series analysis;multivariate sequence classificationTask analysisSafety Risk Reliability and Qualitybot detection; Correlation; Costs; Data models; early decision; multinomial classification; multivariate sequence classification; Predictive models; quantum-inspired computing; sequential classification; Task analysis; Time measurement; Time series analysissequential classification
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The Whole Is Greater than the Sum of the Parts: A Multilayer Approach on Criminal Networks

2022

Traditional social network analysis can be generalized to model some networked systems by multilayer structures where the individual nodes develop relationships in multiple layers. A multilayer network is called multiplex if each layer shares at least one node with some other layer. In this paper, we built a unique criminal multiplex network from the pre-trial detention order by the Preliminary Investigation Judge of the Court of Messina (Sicily) issued at the end of the Montagna anti-mafia operation in 2007. Montagna focused on two families who infiltrated several economic activities through a cartel of entrepreneurs close to the Sicilian Mafia. Our network possesses three layers which sha…

Settore INF/01 - InformaticaComputer Networks and Communicationssocial networkcentralitycriminal networklayer similaritymultilayer network; social network; criminal network; layer similarity; centralitymultilayer networkFuture Internet; Volume 14; Issue 5; Pages: 123
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Analysis of Users Behaviour from a Movie Preferences Perspective

2018

Despite their tremendous popularity, Online Social Networks (OSNs) have several issues related to the privacy of social users. These issues have motivated researchers to develop OSN services that take advantage of the decentralized platforms (such as P2P systems or opportunistic networks). Decentralized Online Social Networks (DOSNs) need specific approaches to manage the decentralization of social data. In particular, data availability is one of the main issues and current proposals exploit properties of the social relationships to manage it. At the best of our knowledge, there are no proposals which exploit similarity between users, expressed with the term homophily. Homophily has been we…

Settore INF/01 - InformaticaExploitComputer Networks and CommunicationsPerspective (graphical)020206 networking & telecommunications02 engineering and technologyHomophilyDecentralizationPopularityData scienceDecentralized Online Social NetworksData availabilityHomophilyTerm (time)Data availabilitySimilarity (psychology)0202 electrical engineering electronic engineering information engineeringDecentralized Online Social Network020201 artificial intelligence & image processingData availability; Decentralized Online Social Networks; Homophily; Computer Networks and Communications
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Exploiting community detection to recommend privacy policies in decentralized online social networks

2018

The usage of Online Social Networks (OSNs) has become a daily activity for billions of people that share their contents and personal information with the other users. Regardless of the platform exploited to provide the OSNs’ services, these contents’ sharing could expose the OSNs’ users to a number of privacy risks if proper privacy-preserving mechanisms are not provided. Indeed, users must be able to define its own privacy policies that are exploited by the OSN to regulate access to the shared contents. To reduce such users’ privacy risks, we propose a Privacy Policies Recommended System (PPRS) that assists the users in defining their own privacy policies. Besides suggesting the most appro…

Settore INF/01 - InformaticaExploitbusiness.industryEnd userComputer sciencePrivacy policyInternet privacy020206 networking & telecommunications02 engineering and technologyPrivacy policiesRecommender systemTheoretical Computer ScienceRecommendation systemPrivacyComputer Science0202 electrical engineering electronic engineering information engineeringSecurityDecentralized online social network020201 artificial intelligence & image processingDecentralized online social networksPrivacy policiebusinessSet (psychology)Personally identifiable informationDecentralized online social networks; Privacy; Privacy policies; Recommendation system; Security
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Graph Comparison and Artificial Models for Simulating Real Criminal Networks

2021

Network Science is an active research field, with numerous applications in areas like computer science, economics, or sociology. Criminal networks, in particular, possess specific topologies which allow them to exhibit strong resilience to disruption. Starting from a dataset related to meetings between members of a Mafia organization which operated in Sicily during 2000s, we here aim to create artificial models with similar properties. To this end, we use specific tools of Social Network Analysis, including network models (Barabási-Albert identified to be the most promising) and metrics which allow us to quantify the similarity between two networks. To the best of our knowledge, the DeltaCo…

Settore INF/01 - Informaticabusiness.industryComplex networksContext (language use)Network scienceGraph theoryComplex networkGraph comparisonMachine learningcomputer.software_genreNetwork topologyCriminal networksGraph similarityGraph theorySocial network analysisGraph (abstract data type)Graph matchingArtificial intelligencebusinessResilience (network)Social network analysiscomputer
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Cancer cell(s) cycle sequencing reveals universal mechanisms of apoptosis

2010

In this paper, cell cycle in higher eukaryotes and their molecular networks signals both in G 1/S and G2/M transitions are replicated in silico. Biochemical kinetics, converted into a set of differential equations, and system control theory are employed to design multi-nested digital layers to simulate protein-to-protein activation and inhibition for cell cycle dynamics in the presence of damaged genomes. Sequencing and controlling the digital process of four micro-scale species networks (p53/Mdm2/DNA damage, p21mRNA/cyclin-CDK complex, CDK/CDC25/wee1/ SKP2/APC/CKI and apoptosis target genes system) not only allows the comprehension of the mechanisms of these molecule interactions but paves…

Settore ING-IND/06 - Fluidodinamicacell digital biotechnology cancer cell cycle control cell digital systems protein networks signalling apoptosis
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