4,030 research outputs found
Lumières Sonores
No full textChaque son donne vie à une lumière. Si la couleur et la dynamique du son varient, la teinte et l'intensité de la lumière varient aussi. De cette danse des sens est née l'idée d'une installation interactive pour restructurer un espace urbain sur la ligne des anciens remparts de Bologne.
Le projet est basé sur une idée simple – un jeu d'impulsions sonores et visuelles – résultant d'un processus de création qui, en l'espace de quelques minutes, est réalisé intuitivement: une installation interactive dans laquelle les gens participent activement en tant que musiciens, auditeurs et spectateurs d’une représentation sonore et visuelle créée par eux-mêmes.
Cette installation pourra redonner vie à la zone urbaine abandonnée dans laquelle elle viendra s'insérer en la repeuplant et en la requalifiant socialement, dans le respect du contexte et conformément aux principes de la réversibilité, la durabilité économique et environnementale.
Le projet a été créé pour la rénovation de l'espace vert situé à proximité du complexe artistique du Cinéma Lumière et du musée d'art moderne MAMBO de Bologne (Italie), qui représente actuellement un espace urbain vide dans le centre-ville. Ce lieu de la ville, situé sur la ligne des anciens remparts de Bologne qui sont connotés par de grands arcs, est particulièrement adapté pour devenir la toile de fond du spectacle créé par l'installation multimédia proposée.
Cependant, en respectant les mêmes principes de conception, il serait possible d'envisager une installation de ce type dans d'autres lieux présentant des problèmes sociaux et urbains similaires.
L'objectif consiste donc à réutiliser la zone grâce au phénomène social créé par ce lieu de rencontre et de possible développement commercial. A cet effet, il est prévu d’utiliser un microprocessuer (Arduino) qui analyse la bande-son importée par des périphériques extérieurs (microphones) et, grâce aux algorithmes, la reconstruit et la traduit sous la forme de signaux lumineux. Plus précisément, il s’agit d’un système d'éclairage qui, à travers l'analyse de la bande-son dérivant par des instruments ou bien émise par les gens de quelque autre manière, génèrera des créations lumineuses sous forme d'éclairage LED sur les arcs. Ce type d'éclairage, en plus d'une économie d'énergie, permettra la reproduction d'une très large gamme de nuances.
Le projet représente une réelle opportunité d'utilisation des nouvelles technologies numériques pour un renouveau urbain et social s'opposant à l'utilisation massive actuelle de ces outils numériques qui conduit souvent à une dépersonnalisation forte et à l'aliénation de l'individu.
Le projet a été développé en collaboration avec l’association italienne OCRA – Opera CReativa Artigianale, fondée par Federico La Piccirella, Cecilia Mazzoli et Costanza Tani. La petite association, formée par des jeunes ingénieurs et architectes, s’occupe de la conception et réalisation d’œuvres de design social, dans le sens plus ample: de l’objet de design et le mobilier, à l’œuvre architecturale et urbanistique
Devices, Techniques, and Algorithms for the Analysis of Dynamic Processes by means of Multivariable Motion Sensors
No full textQuesta tesi introduce dispositivi, tecniche e algoritmi innovativi progettati per l'analisi delle grandezze cinematiche di componenti meccanici appartenenti a processi industriali e a macchinari, mediante l’utilizzo di sensori di moto multivariabile. La ricerca oggetto della tesi si articola in tre attività: lo sviluppo di un algoritmo per la stima accurata della velocità mediante un sensore di moto multivariabile, lo sviluppo di tecniche di autodiagnosi e autocompensazione per sensori di spostamento potenziometrici resistivi, e la stima delle coordinate spaziali di un braccio di un escavatore mediante l’opportuna installazione di un sensore di moto multivariabile e la successiva elaborazione dei segnali forniti.
Dopo l’introduzione al lavoro di ricerca presentata nel primo capitolo, il secondo capitolo della tesi affronta la stima della velocità realizzata mediante l’utilizzo di un sensore di moto multivariabile, che in particolare è in grado di trasdurre simultaneamente sia la posizione che l'accelerazione lineare del componente meccanico a cui è connesso. I segnali di posizione e accelerazione trasdotti sono elaborati da un innovativo algoritmo di stima della velocità sviluppato con l'obiettivo di affrontare i limiti delle tecniche comunemente utilizzate in ambito industriale. L’efficacia dell’algoritmo proposto è stata valutata sperimentalmente sia in termini di errore di stima sia dal tempo computazionale richiesto. In aggiunta, le prestazioni ottenute sono state confrontate con quelle ottenute attraverso altri metodi di stima della velocità presenti in letteratura. I risultati ottenuti convalidano l’efficacia dell’algoritmo proposto.
Il terzo capitolo della tesi riguarda le tecniche di autodiagnosi e autocompensazione proposte per un generico sensore di posizione potenziometrico resistivo. Tali tecniche si basano sulla modellizzazione del sensore mediante due parametri: la resistenza di contatto tra il cursore mobile e la pista resistiva, e la resistenza per unità di lunghezza della pista resistiva. Questi parametri sono utilizzati per rilevare guasti e malfunzionamenti del sensore relativi ad usura, danneggiamento e invecchiamento. Al fine di ricavare informazioni sulle condizioni operative correnti del sensore è stato proposto un metodo per la stima continua dei parametri del modello che non richiede né lo scollegamento del sensore dal processo, né la conoscenza della posizione del cursore. Il rilevamento di un guasto si basa sulla definizione di soglie di allarme per entrambi i parametri del modello. I guasti sono rilevati confrontando le stime attuali dei parametri con i rispettivi valori iniziali, associati al sensore integro, segnalando una condizione di guasto qualora si riscontrino delle deviazioni significative. È inoltre proposto un metodo di autocompensazione che mira a ridurre l'impatto del deterioramento delle condizioni del sensore sull’accuratezza della misura di posizione. La validazione sperimentale delle tecniche proposte è stata condotta utilizzando un sensore sottoposto ad una condizione di usura nota. I risultati sperimentali dimostrano come le tecniche proposte rilevano efficacemente i guasti e riducono l'errore di stima della posizione.
Il quarto capitolo della tesi prevede l'utilizzo di un sensore di moto multivariabile per la stima delle coordinate spaziali relative al braccio di un escavatore su cui il sensore è installato. La stima di tali coordinate è realizzata a partire dall’elaborazione delle molteplici grandezze fisiche che il sensore è in grado di trasdurre: la posizione lineare e gli angoli di Eulero. L’elaborazione di questi dati si basa sulla cinematica della struttura dell’escavatore unitamente alle informazioni meccaniche relative all’installazione del sensore.
Infine, nel quinto capitolo le conclusioni danno evidenza del contributo apportato dall’attività al contesto della sensoristica per grandezze cinematiche.This thesis introduces devices, techniques and innovative algorithms designed for the analysis of kinematic quantities of mechanical components belonging to industrial processes and machinery using multivariable motion sensors. The research covered by this thesis consists of three activities: the development of an algorithm for the accurate velocity estimation using a multivariable motion sensor, the development of self-diagnostic and self-compensation techniques for resistive potentiometric displacement sensors, and the estimation of the spatial coordinates of an excavator arm by the appropriate installation of a multivariable motion sensor and the subsequent processing of the signals provided.
Following the introduction to the research work presented in the first chapter, the second chapter of the thesis addresses the estimation of velocity achieved through the use of a multivariable motion sensor, which in particular is capable of simultaneously transducing both position and linear acceleration of the mechanical component to which it is connected. The transduced position and acceleration signals are processed by an innovative velocity estimation algorithm developed with the aim of addressing the limitations of techniques commonly used in the industrial field. The effectiveness of the proposed algorithm has been experimentally evaluated both in terms of estimation error and computational time required. In addition, the performance obtained has been compared with that obtained through other velocity estimation methods existing in the literature. The results obtained validate the effectiveness of the proposed algorithm.
The third chapter of this thesis presents the self-diagnostic and self-compensation techniques proposed for a generic resistive potentiometric displacement sensor. These techniques are based on modeling the sensor using two parameters: the contact resistance between the sliding cursor and the resistive track, and the resistance per unit length of the resistive track. These parameters are used to detect sensor failures related to wear, damage and aging. In order to derive information about current sensor operating conditions, a method for the continuous estimation of model parameters has been proposed that requires neither disconnecting the sensor from the process nor knowledge of the cursor position. Fault detection is based on the definition of alarm thresholds for both model parameters. Faults are detected by comparing current parameter estimations with their respective initial values, associated with the undamaged sensor, identifying a fault condition if significant deviations are found. A self-compensation method is proposed to reduce the impact of deteriorating sensor conditions on the accuracy of the position measurement. The proposed techniques have been experimentally tested using a sensor subjected to a known wear condition. The experimental results show that the proposed techniques effectively detect faults and reduce the position estimation error.
The fourth chapter of this thesis involves the use of a multivariable motion sensor to estimate spatial coordinates relative to an excavator arm on which the sensor is installed. The estimation of these coordinates is accomplished from the processing of the multiple physical quantities that the sensor is capable of transducing, i.e. linear position and Euler angles. The processing of these data is based on the kinematics of the excavator structure together with mechanical information about the sensor installation.
Finally, in the fifth chapter, the conclusions give evidence of the contribution brought by the activity to the context of kinematic quantities sensing
Structural control on karst collapse sinkhole formation
No full textGeophysical Research Abstracts Vol. 15, EGU2013-8197, 2013 EGU General Assembly 2013 © Author(s) 2013. CC Attribution 3.0 License.
Structuralcontrolonkarstcollapsesinkholeformation
Antonio Santo (1), Alessandra Ascione (2), Stefano Mazzoli (2), and Nicoletta Santangelo (2) (1) Dipartimento di Ingegneria Idraulica, Geotecnica e Ambientale, Università Federico II, Naples, Italy ([email protected]), (2) Dipartimento di Scienze della Terra, Università Federico II, Naples, Italy ([email protected])
Collapse sinkholes owing their formation to erosion and deformation phenomena caused by subsurface karstificationarewidespreadinthecarbonatemassifsofpeninsularItaly.Incontrastwithsolutiondolines,whicharedensely distributedonthesubplanartopsurfacesofthecarbonatemassifs,thecollapsesinkholes(hereinafterlabelledkarst collapse sinkholes) generally occur as isolated landforms and mostly affect the slopes and piedmont areas. In the latterinstances,thesinkholesalsoaffectalluvialfanconglomerates,orslopedebris,overlyingthecarbonaterocks. Weinvestigatedthekarstcollapsesinkholesofthesouthern-centralApenninesmountainbelt(Italy),whichisrepresentativeofayoungorogenicsystem,characterisedbyrecenttectonicactivityandstrongseismicity.Theaimofthe studyistheidentificationofthecausativefactorswhichcontroltheoccurrenceofsuchhazardousphenomena.The study was based on a regional scale analysis on sinkhole distribution in relation to the local geological-structural, geomorphological and hydrogeological contexts, and was paralleled with field analysis of some selected areas. The regional scale analysisindicates thatthe karstcollapse sinkholesare not the mere response tothe concurrence of the climatic and lithological conditions which commonly favour the development of karst processes, the occurrence of such landforms appearing strongly influenced by distinctive structural and hydrogeological conditions. In particular, a close relationship between the karst collapse sinkholes and the main extensional faults showing evidence of late Quaternary activity may be envisaged. This is inferred from the spatial distribution of the karst collapsesinkholes,whichisstrikinglyuneven,thesinkholesgenerallyoccurringinalignmentsfollowinglargelate Quaternary fault zones, or being clustered at the terminations of those faults. In addition, areas affected by the occurrence of groups of sinkholes, are also characterised by the presence of H2S and/or CO2 mineral springs, gas vents and of travertine deposits. Such co-presence points to interrelations linking dissolution phenomena, and carbonate precipitation, to the rise of aggressive fluids. In particular, this suggests enhanced deep-seated dissolution, and carbonate deposition at surface, in presence of ascending mineral waters. These evidences point to the important role played by extensional fault zones in the migration of deeply derived fluids, thus suggesting that active faults, in particular, represent preferential pathways for fluid rising and mixing with shallow groundwater. In addition, a focus on the relationships between karst collapse sinkholes and extensional fault zone properties has shown how the fault length and depth, and the dimension of the damage zone, influence the sinkhole formation and evolution
Deposito di prodotto di design industriale presso EUIPO Ufficio dell’Unione europea per la Proprietà intellettuale – Dipartimento Operazioni. Numero di registrazione dei disegni o modelli comunitari: 004372902 (26.09.2017)
No full textTavoletta di forma rettangolare riproducibile in diversi materiali e in diverse tonalità di colore, caratterizzata da bassorilievi raffiguranti note e scritte in Braille, in grado di rappresentare attraverso il linguaggio tattile l’aspetto grafico che assume uno spartito musicale. Il progetto si basa sullo sviluppo di un algoritmo per la trascrizione digitale di intere frasi musicali su pentagramma, riportate come insieme di linee vettoriali, all’interno di un software di disegno CAD, capace di interfacciarsi con macchine CNC per la riproduzione delle stesse in tre dimensioni, come fossero un basso rilievo. L’elaborazione di un algoritmo informatico consente di realizzare una tavoletta dotata di un elevato grado di flessibilità e versatilità, in termini di dimensioni e di contenuti, oltre che di una grande leggerezza, trasportabilità e resistenza all’usura nel tempo. La tavoletta si configura quindi come uno strumento per l’insegnamento “senza barriere” della musica, rendendo possibile un aspetto del tutto nuovo: la visualizzazione e la trasmissione grafica degli spartiti musicali, anche per i non vedenti.
Il prodotto è stato progettato e realizzato nell'ambito delle attività di ricerca svolte dall'Associazione di Promozione Sociale "OCRA - Opera CReativa Artigianale"
Media digitali, atteggiamenti e opinioni degli italiani su un sistema dell'informazione che cambia
No full textBased on telephone interviews with a representative sample of the Italian adult population (18 +), the survey NEWS-ITALY has investigated – since 2011 – the views and preferences of Italian news consumers. The article presents the results of a research that, drawing on the data of NEWS-ITALY 2014 survey (N = 1,013), has focused on the relationship between different ways of consuming news in digital format and the opinions and attitudes of respondents regarding their search and consumption of information. More specifically, through a comparison between different regression models, we were able to assess the role played by the use of internet, smartphone/tablet and social networking sites for getting information, in influencing Italians’ opinions regarding their experience with news. The analysis shows a significant effect of the use of the internet for getting news on respondents’ opinions regarding their experience of information overload, their encounter with news as a result of relatives and friends’ suggestions and their preference for getting news form sources contradicting their own opinions and views
Self-Diagnostic and Self-Compensation Methods for Resistive Displacement Sensors Tailored for In-Field Implementation
No full textThis paper presents a suitably general model for resistive displacement sensors where the model parameters depend on the current sensor conditions, thereby capturing wearout and failure, and proposes a novel fault detection method that can be seamlessly applied during sensor operation, providing self-diagnostic capabilities. On the basis of the estimation of model parameters, an innovative self-compensation method is derived to increase the accuracy of sensors subject to progressive wearout. The proposed model and methods have been validated by both numerical simulations and experimental tests on two real resistive displacement sensors, placed in undamaged and faulty conditions, respectively. The fault detection method has shown an accuracy of 97.2%. The position estimation error is < ±0.2% of the full-scale span for the undamaged sensor, while the self-compensation method successfully reduces the position estimation error from ±15% to approximately ±2% of the full-scale span for the faulty sensor
Self-Diagnostic Method for Resistive Displacement Sensors
No full textDisplacement sensors play a key role in the control of dynamic processes. Such sensors can be endowed with self-diagnostic capabilities to identify both the degradation of their conditions and the possible process anomalies that caused them, thus allowing researchers to monitor the process efficiency and therefore its sustainability. Within this scope, a self-diagnostic method is proposed to infer the conditions of a resistive displacement sensor by estimating its model parameters online during operation. Experimental results confirm the effectiveness of the presented method
A Multivariable Motion Sensor Embedding an Improved Velocity Estimation Algorithm
No full textA multivariable motion sensor is presented that embeds into its onboard microcontroller a tailored algorithm, referred to here as the double-path (DP) algorithm, which estimates velocity in real time from position and acceleration signals simultaneously measured by the sensor itself. The multivariable motion sensor consists of a contactless magnetic linear position digital sensor and a triaxial digital accelerometer. The proposed algorithm estimates velocity by suitably mixing the integration of the acceleration and the linear fitting of the position, and it can operate under both trapezoidal and S-curve motion profiles. The velocity estimation accuracy has been assessed through simulations and experimental tests, which involved performance evaluation and a comparative analysis between the proposed algorithm and a Kalman filter (KF) both embedded into the sensor microcontroller. The experimental results are obtained by operating the sensor with a reference trapezoidal motion profile with a maximum velocity of 50 mm/s. The two root-mean-square estimation errors calculated for the sensor moving at constant acceleration and velocity are 1.32% and 0.58% of the maximum velocity, respectively
Atti del convegno in memoria di Glauco Bonardi “La geologia del sistema Alpi-Appennino” Napoli, 29-30 Febbraio 2011
No full textSensore di posizione configurato per monitorare la condizione e/o il livello di usura di tale sensore di posizione durante il suo utilizzo
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