Academic literature on the topic 'Design analogico'

La tecnica acustica di verifica sperimentale del range di protoni (ionoacustica) si basa sul rilevamento del debole segnale termoacustico emesso dalla rapida deposizione di energia che avviene alla fine range del fascio, in corrispondenza del picco di Bragg. In questo contesto, questa tesi presenta le principali caratteristiche della strumentazione microelettronica utilizzata per i Proton Sound Detector introducendo specifiche tecniche di progettazione fortemente orientate sia alla massimizzazione del Rapporto Segnale Rumore SNR (a livello di sensore acustico) che minimizzazione della figura di rumore (a livello di amplificatore analogico). La prima parte di questa tesi tratta delle sfide strumentali relative agli esperimenti ionoacustici fornendo dettagli tecnici specifici riguardanti sia la progettazione del sensore acustico (ovvero come costruire il sensore massimizzando l'SNR) sia il design dell'amplificatore a basso rumore (LNA). Verranno presentati i risultati sperimentali di un primo esperimento effettuato presso il Laboratorio Maier-Leibniz di Garching, Monaco, con un fascio di protoni a 20 MeV (scenario preclinico) e verrà mostrato come una progettazione elettronica dedicata a segnali misti permetta di migliorare significativamente il rapporto segnale-rumore e l'accuratezza della localizzazione del picco di Bragg di 6 dB. In questo contesto, questo primo sviluppo del rivelatore raggiunge due importanti obiettivi: il miglioramento dell'SNR a parità di dose e una forte semplificazione della strumentazione del rivelatore rispetto allo stato dell'arte, consentendo una maggiore precisione della misurazione dell'impulso acustico, e allo stesso tempo incrementando la portabilità e la compattezza del dispositivo. Nelle applicazioni cliniche di adroterapia, l'energia del fascio (da 65 MeV fino a 200 MeV) e la dose vengono scelte in funzione dello specifico scenario clinico. Ciò comporta segnali acustici di ampiezza e larghezza di banda diverse, costringendo l’adozione di soluzioni tecnologiche avanzate in grado di gestire un ampio spettro di segnali in termini di larghezza di banda, ampiezza e rumore. Per questo motivo, la seconda parte di questa tesi propone un modello Matlab efficiente e innovativo del fenomeno fisico ionoacustico, che condensa in un unico sistema lineare tempo invariante tutti i processi di conversione dell'energia coinvolti. Il modello ionoacustico proposto sostituisce i complessi strumenti di simulazione classici (usati per caratterizzare il segnale acustico indotto dal fascio di protoni) e facilita lo sviluppo di rivelatori dedicati fornendo una descrizione precisa del segnale acustico nei diversi scenari. Infine, verrà presentato il progetto di una seconda versione del Proton Sound Detector che introduce il concetto di media nel dominio dello spazio (invece della media nel dominio del tempo, basata sull’elaborazione di più shot del fascio che comporta una significativa extra-dose). Questo rilevatore utilizza un sensore multicanale per eseguire una media spaziale dei segnali acquisiti e aumentare l'SNR di 18 dB a parità di dose rispetto al classico approccio monocanale. Questo approccio tuttavia richiede lo sviluppo di elettronica altamente miniaturizzata che non può essere implementata con componenti standard su circuiti stampati. Viene quindi presentato il progetto e la caratterizzazione di un front-end analogico multicanale implementato su un Application-Specified-Integrated-Circuit (ASIC) in tecnologia CMOS 28 nm che permette di elaborare in parallelo tutti i 64 canali del sensore acustico. Questo High-Resolution Proton Sound Detector (HR-ProSD) è completato da un circuito digitale dedicato implementato su FPGA (Field Programmable Gate Array) che consente di mappare in tempo reale e 2D la deposizione di dose nello spazio.<br>Acoustic proton range experimental verification technique (iono-acoustics) is based on sensing the weak thermoacoustic signal emitted by the fast energy deposition (and/or the heating process) at the end of the beam range (Bragg Peak). In this context, this thesis presents the main characteristics of the micro-electronics instrumentation used for proton sound detectors introducing specific design techniques strongly oriented to both maximization of the acoustic Signal-to-Noise-Ratio (at the Acoustic Sensor level) and Noise-Figure minimization (at analog amplifier level). The first part of this thesis addresses all the instrumentation challenges related to iono-acoustic experiments providing specific technical details regarding both acoustic sensor design (i.e. how to build the sensor while maximizing the SNR) and the LNA design. The experimental results of a first experiment carried out at Maier-Leibniz Laboratory in Garching, Munich, with a proton beam at 20 MeV (sub-clinical energy) will be presented and it will be shown how a dedicated mixed-signal electronics design allows to significantly improve the signal-to-noise ratio and the accuracy of the BP localization by 6 dB. In this context, this first detector development achieves two important objectives: the improvement of the acoustic SNR and a strong simplification of the detector instrumentation w.r.t. state-of-the-art, enabling increasing accuracy of the acoustic pulse measurement, and at the same time the portability and compactness of the device. In clinical hadron-therapy applications, variable beam energy (from 65 MeV up to 200 MeV) and variable doses are used as a function of the selected medical treatment. This induces different acoustic pulses amplitude and bandwidth, forcing advanced technological solutions capable of handling a wide spectrum of signals in terms of bandwidth, amplitude, and noise. For this reason, the second part of this thesis proposes an efficient and innovative Matlab Model of the ionoacoustic physical phenomenon, based on englobing in a single mathematical Linear-Time-Invariant-System all energy conversion processes involved in iono-acoustics. The proposed ionoacoustics model replaces classical and complex simulation tools (used to characterize the proton induced acoustic signal) and facilitates the development of dedicated detectors. Finally, the design of a second version of the Proton Sound Detector will be presented that introduces the concept of space-domain averaging (instead of time-domain averaging based on multiple beam shot processing for noise attenuation and thus extra-doses). This detector uses a multi-channel sensor to perform a spatial average of the acquired signals and increase the SNR by 18 dB at the same dose compared to the classic single channel approach. This approach however requires the development of highly miniaturized electronics that cannot be implemented with off-the-shelf components on Printed Circuit Boards. The design and characterization of a multichannel analog front-end implemented on a CMOS 28 nm Application-Specified-Integrated-Circuit (ASIC) which allows to process the 64 channels of the acoustic sensor in parallel is then presented. This High-Resolution Proton Sound Detector (HR-ProSD) is completed by digital circuits implemented on Field Programmable Gate Array (FPGA) that allow to locate in real time the deposition of energy in space.

With the current demand for mixed-signal SoCs, an increasing number of designers are looking for ADC architectures that can be easily implemented over digital substrates. Since ADC performance is strongly dependent upon physical and electrical features, it gets more difficult for them to benefit from more recent technologies, where these features are more variable. This way, analog signal acquisition is not allowed to follow an evolutionary trend compatible with Moore’s Law. In fact, such trend shall get worst, since newer technologies are expected to have more variable characteristics. Also, for a matter of economy of scale, many times a mixed-signal SoC presents a good amount of idle processing power. In such systems it is advantageous to employ more costly digital signal processing provided that it allows a reduction in the analog area demanded or the use of less expensive analog blocks, able to cope with process variations and uncertainty. Besides the technological concerns, other factors that impact the cost of the design also advise to transfer problems from the analog to the digital domain whenever possible: design automation and self-test requirements, for instance. Recent surveys indicate that the total cost in designer hours for the analog blocks of a mixed-signal system can be up to three times the cost of the digital ones. This manuscript explores the concept of bottom-up analog acquisition design, using statistical sampling as a way to reduce the analog area demanded in the design of ADCs within mixed-signal systems. More particularly, it investigates the possibility of using digital modeling and digital compensation of non-idealities to ease the design of ADCs. The work is developed around three axes: the definition of target applications, the development of digital compensation algorithms and the exploration of architectural possibilities. New methods and architectures are defined and validated. The main notions behind the proposal are analyzed and it is shown that the approach is feasible, opening new paths of future research. Keywords:

Ever since artifacts have been produced, improving them has been a common human activity. Improving an artifact refers to modifying it such that it will be either easier to produce, or easier to use, or easier to fix, or easier to maintain, and so on. In all of these cases, "easier" means fewer resources are required for those processes. While 'resources' is a general measure, which can ultimately be expressed by some measure of cost (such as time or money), we believe that at the core of many improvements is the notion of reduction of complexity, or in other words, simplification. This talk presents our research on performing design simplification using analogical reasoning. We first define the simplification problem as the problem of reducing the complexity of an artefact from a given point of view. We propose that a point of view from which the complexity of an artefact can be measured consists of a context, an aspect and a measure. Next, we describe an approach to solving simplification problems by goal-directed analogical reasoning, as our implementation of this approach. Finally, we present some experimental results obtained with the system. The research presented in this dissertation is significant as it focuses on the intersection of a number of important, active research areas - analogical reasoning, functional representation, functional reasoning, simplification, and the general area of AI in Design.

Biologically inspired design (BID) is a widespread and growing movement in modern design, pulled in part by the need for environmentally sustainable design and pushed partly by rapid advances in biology and the desire for creativity and innovation in design. Yet, our current understanding of cognition in BID is limited and at present there are few computational methods or tools available for supporting its practice. In this dissertation, I develop a cognitive model of BID, build computational methods and tools for supporting its practice, and describe results from deploying the methods and the tools in a Georgia Tech BID class. One key and novel finding in my cognitive study of BID is the surprisingly large degree to which biological analogues influence problem formulation and understanding in addition to generation of design solutions. I call the process by which a biological analogue influences the evolution of the problem formulation analogical problem evolution. I use the method of grounded theory to develop a knowledge schema called SR.BID (for structured representations for biologically inspired design) for representing design problem formulations. I show through case study analysis that SR.BID provides a useful analytic framework for understanding the two-way interaction between problems and solutions. I then develop two tools based on the SR.BID schema to scaffold the processes of problem formulation and analogue evaluation in BID. I deployed the two tools, the four-box method of problem specification and the T-chart method of analogical evaluation, in a Georgia Tech BID class. I show that with minimal training, the four-box method was used by students to complete design problem specifications in 2011 and 2012 with 75% of students achieving better than 80% accuracy. Finally I describe a web-based application for interactively supporting BID practice including problem formulation and analogue evaluation. Thus, my dissertation develops a cognitive model of analogical problem evolution in BID, a knowledge schema for representing problem formulations, a computational technique for evaluating biological analogues, and an interactive web-based tool for supporting BID practice. Through a better cognitive understanding of BID and computational methods and tools for supporting its practice, it also contributes to computational creativity.

This thesis examines the relationship between the practice of architectural design and the media through which it is represented. It makes a consistent critical appraisal of the philosophical presumptions under which architectural theory is made, in particular, the relationship between theories of expression and representation. The thesis presents seven distinct projects by the author which developmentally explore the degree to which architecture is able to represent the sublime - in particular through the concept of horror. In this instance horror emerges as a category of excess that supervenes the uses of the term in the genres of film and literary studies. Within the thesis horror describes an (impossible) objective for representation The thesis argues that the environment within which these philosophical questions of 'effect' may most resonantly be explored is, ultimately, digital media. The author draws on contemporary commentary by Jacques Derrida and Georges Bataille, in particular Derrida's discussion of the Parergon and contemporary discussion of l'informe, the informal to support these arguments. It is within the apparently 'real' environments of virtual reality that the presentation of the mise-en-scene of horror may be explored. Immersive digital environments, it is argued, provide an appropriate level of freedom and direction for the exploration of the spatial experience of the abyss. The thesis concludes by presenting observations on the antinomy of aspirations that any materialist theory of architectural practice must attend to when working within digital media.

Previous theories of design decision-making have discussed how designers use analogical reasoning to quickly scope the solution space down to one viable solution. This initial analogy forms the template of a possible action plan that is then modified to suit the unique properties of that particular problem. This use of analogical reasoning allows designers to quickly engage with the problem and generate a workable solution. Our findings indicate that this initial analogy actually persists across all stages of decision-making, and does not play a role solely during the first stage of scoping. This analogical persistence leads to poorer design decisions. This thesis presents a series of studies that adopt a mixed method approach to investigating the influence of analogies on the decision-making of Interaction Designers. We employed qualitative methods such as the Critical Decision Method for Eliciting Knowledge (Klein, 1989), which aided in identifying analogical persistence as a problem that leads to poorer quality decisions. We also employed quantitative methods such as the Design Fixation paradigm (Jansson & Smith, 1991) to investigate how different types of analogies (self-generated & provided Priming Analogies) can influence the expression of analogical persistence. Finally in an attempt to mitigate the potential pitfalls of analogical persistence, this thesis attempts to control it using principles from Design Rationale (Lee & Lai, 1991) and Reflection (Schon, 1983). Rather than seeing a decrease in analogical persistence, our manipulation actually increased fixation. A follow-up study identified that designers tend to poorly appraise the weaknesses in the initial analogy, which may have led to the aforementioned unexpected result. These findings challenge the notion that greater understanding of the design space will lead to higher quality design decisions.