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Users' Fingerprinting Techniques from TCP Traffic
Encryption at the application layer is often promoted to protect privacy, i.e., to prevent someone in the network from observing users' communications. In this work we explore how to build a profile for a target user by observing only the names of the services contacted during browsing, names that are still not encrypted and easily accessible from passive probes. Would it be possible to uniquely identify a target user from a large population that accesses the same network? Aiming at verifying if and how this is possible, we propose and compare three methodologies to compute similarities between users' profiles. We use real data collected in networks, evaluate and discuss performance and the impact of quality of data being used. To this end, we propose a machine learning methodology to extract the services intentionally requested by users, which turn out to be important for the profiling purpose. Results show that the classification problem can be solved with good accuracy (up to 94%), provided some ingenuity is used to build the model
Performance of machine learning classifiers for indoor person localization with capacitive sensors
A scenario-driven design method for Chinese children edutainment
This paper presents the use of design scenarios as a valid method for helping designers to face the challenges they are presented with when designing edutainment technologies for children. This tool is proposed as effective for exploring emerging design spaces and enables work oriented discussions among practitioners. In order to obtain data for identifying design drivers and variables that are used in developing the construction of the scenarios, a preliminary survey was conducted. This was meant as an investigation of parents' expectations towards the act of play and their children's play habits
Analysis of antennas for underwater applications
Underwater Communication has a wide range of applications. In the case of a short-range communication system, the use of electromagnetic waves has been recently proposed as an alternative to the mostly used acoustic waves. The design of the antennas to be used for underwater communication is strongly influenced by the electromagnetic properties of the water and therefore, after its design but before its experimental characterization, it is necessary to perform an accurate numerical analysis of its behavior. As a proof-of concept, here the results obtained with the full-wave numerical analysis of antennas designed for an underwater communication system between scuba divers are illustrated, considering two types of realistic water enviroment: seawater and freshwater
Fare architettura sulle Alpi italiane: un premio, una mostra e una rassegna
Articolo a firma di Valentina Silvestri sui progetti vincitori del Premio AAA - Architetti Arco Alpini con particolare evidenza al Progetto di recupero della borgata Paraloup. Sono citati gli architetti progettist
Carrozzina elettrica innovativa per il superamento delle barriere architettoniche
La presenza di barriere architettoniche in ambienti pubblici o privati rappresenta una forte limitazione per la mobilità di persone che utilizzano una carrozzina per gli spostamenti quotidiani. Nonostante l'introduzione di normative con lo scopo di promuovere l'abbattimento di queste barriere, non sempre la loro completa eliminazione è realizzata o realizzabile. In queste situazioni è necessario poter fornire all'utente disabile un ausilio in grado di superare autonomamente barriere architettoniche od ostacoli. Tale dispositivo dovrebbe poter essere utilizzato in autonomia, essere trasportabile ed integrato nella struttura della carrozzina, in maniera da essere attivabile all'occorrenza. L'obiettivo di questo lavoro di tesi è quindi l'ideazione di una carrozzina montascale che integri in un unico oggetto le abilità e le funzionalità di una tradizionale carrozzina elettrica e di un montascale. Attualmente, vista le complessità dell'obiettivo, esistono pochi dispositivi di questo tipo disponibili in commercio, mentre un numero più ampio di soluzioni è stato individuato nello stato dell'arte delle ricerche e dei brevetti. In ogni caso le soluzioni individuate presentano forti limitazioni per la diffusione della tecnologia, in quanto in generale risultano ingombranti, complesse, costose e non sembrano rispondere a criteri di accettabilità personale dell'utente. Per questi motivi la tesi di dottorato è stata indirizzata allo sviluppo di un'idea innovativa di carrozzina montascale, con l'obiettivo di ottenere prestazioni superiori rispetto alle soluzioni presentate nello stato dell'arte. In particolare, si è progettato un dispositivo in grado di superare con sicurezza e regolarità rampe di scale e singoli scalini, limitando però allo stesso tempo il peso, l'ingombro e la complessità del veicolo. Particolare attenzione è stata inoltre posta nel garantire un moto su scala con minime oscillazioni percepite dall'utente e nell'ottenere un dispositivo gradevole oltre che funzionale. Caratteristica principale della carrozzina è l'architettura ibrida del sistema di locomozione, composto da una coppia di unità di locomozione motorizzate poste anteriormente e da un cingolo non motorizzato né frenato che costituisce il punto di appoggio posteriore. Le unità di locomozione a zampe rotanti sono costituite da un telaio con tre bracci, ciascuno dei quali porta una ruota all'estremità. Le tre ruote sono ulteriormente collegate tra loro attraverso un rotismo epicicloidale interno all'unità. Questa architettura permette di gestire in maniera semplice e funzionale sia la marcia in piano che la marcia su scale, permettendo inoltre un'agevole transizione tra le due condizioni di impiego. Nel lavoro di tesi proposto verrà analizzata la progettazione cinematica e dinamica del dispositivo, analizzandone il comportamento e le prestazioni di funzionamento. I risultati ottenuti dimostrano l'efficacia della carrozzina proposta nel superare ostacoli in maniera sicura, regolare, adeguata agli obiettivi di progetto richiesti e in grado di rispondere ai requisiti di sicurezza imposti dalla normativa (ad esempio ISO 7176-28:2012, "Requirements and test methods for stair-climbing devices"). La soluzione proposta risulta quindi idonea per essere ulteriormente sviluppata attraverso la realizzazione di un prototipo in grado di validare attraverso una campagna di prove sperimentali l'efficacia dell'architettura di carrozzina montascale descritta in questo lavoro di tesi
Database on hypersonic transportation systems: A versatile support for the technology roadmap generation and conceptual design activities
Surface-admittance equivalence principle for nonradiating and cloaking problems
In this paper, we address nonradiating and cloaking problems exploiting the surface equivalence principle, by imposing at any arbitrary boundary the control of the admittance discontinuity between the overall object (with or without cloak) and the background. After a rigorous demonstration, we apply this model to a nonradiating problem, appealing for anapole modes and metamolecules modeling, and to a cloaking problem, appealing for non-Foster metasurface design. A straightforward analytical condition is obtained for controlling the scattering of a dielectric object over a surface boundary of interest. Previous quasistatic results are confirmed and a general closed-form solution beyond the subwavelength regime is provided. In addition, this formulation can be extended to other wave phenomena once the proper admittance function is defined (thermal, acoustics, elastomechanics, etc.)
Bioinformatics methods and tools for identifying disease-associated B-cell populations, miRNA patterns and gene fusions in RNA-Seq data
The advent of Next Generation Sequencing (NGS) technologies dramatically reshaped genomics by allowing to produce huge amounts of sequencing data with reduced per-base costs. The capability to determine Deoxyribonucleic Acid (DNA) and Ribonucleic Acid (RNA) sequences without any a priori knowledge on the cytogenetic profile of the host cell shed new light on several biological processes involving both coding and non-coding genes. NGS also revolutionised cancer genomics, where these techniques have been widely used to identify chromosomal aberrations such as gene fusions, Single Nucleotide Polymorphisms (SNPs) or Copy Number Variations (CNVs), responsible for cancer onset and progression. The possibility to recognize these alterations and to focus on those with higher driver impact in the pathology under investigation, accounted in the last decade for the implementation of a novel type of medical approach referred to as Personalized Medicine, where patient specific sequencing data are exploited to prevent, diagnose and treat, with tailored therapeutic procedures, the disease. The complexity and huge dimensions characterizing NGS datasets, make essential the constant interaction among several professions, such as biologists, biotechnologists, mathematicians, physicists, physicians and computer scientists to design opportune strategies for data storing, management, analysis and interpretation. This novel multidisciplinary research field in which computational methodologies and algorithms are applied to gain novel insights into living systems and pathologies is called Bioinformatics. The work proposed in this thesis fits one of bioinformatics objectives, that is the development of computational methods and tools for the identification of genomic alterations in sequencing data, specifically RNA Sequencing (RNA-Seq) data. The implemented methodologies and tools, namely VDJSeq-Solver, isomiR-SEA and FuGePrior, were designed to investigate three genomic aberrations (i.e., abnormal B cell clonal populations, deregulated miRNA and isomiR expression patterns, and gene fusion occurrence) known to be correlated to the onset progression and prognosis of multi-factorial diseases such as cancer. These tools implement a novel in silico approach for disease characterization from sequencing data and, even exploiting informatics algorithms, were designed considering latest biological knowledge. Their performance were assessed on both private and public datasets and the provided results validated by wet-lab experiments or, when not possible, evaluated by considering up-to-date scientific literature. The activities summarized in this manuscript arise from a productive interaction with different Universities, Hospitals and Research Institutes. Specifically, VDJSeq-Solver tool design and testing took advantage from sharing medical and molecular expertise with the Department of Diagnostics and Public Health of the University of Verona (Italy). The first release of isomiR-SEA benefited from my collaboration with the Laboratory of Oncogenomics of the Institute for Cancer Research (IRCC) in Candiolo (Italy). Finally, the concepts at the basis of FuGePrior tool stem from my research activity within the European Project Next Generation Sequencing for Targeted Personalized Therapy of Leukaemia (NGS-PTL). All the research proposed in this thesis was published in peer-reviewed scientific journals