LQG control policy design against agent identity privacy problem

This thesis project studies the agent identity privacy problem in the scalar linear quadratic Gaussian (LQG) control system. For the agent identity privacy problem in the LQG control, privacy models and privacy measures have to be established first. It depends on a trajectory of correlated data rather than a single observation. I propose here privacy models and the corresponding privacy measures by taking into account the two characteristics. The agent identity is a binary hypothesis: Agent A or Agent B. An eavesdropper is assumed to make a hypothesis testing on the agent identity based on the intercepted environment state sequence. The privacy risk is measured by the Kullback-Leibler divergence between the probability distributions of state sequences under two hypotheses. By taking into account both the accumulative control reward and privacy risk, an optimization problem of the policy of Agent B is formulated. The optimal deterministic privacy-preserving LQG policy of Agent B is a linear mapping. A sufficient condition is given to guarantee that the optimal deterministic privacy-preserving policy is time-invariant in the asymptotic regime. An independent Gaussian random variable cannot improve the performance of Agent B. The numerical experiments justify the theoretic results and illustrate the reward-privacy trade-off. Based on the privacy model and the LQG control model, I have formulated the mathematical problems for the agent identity privacy problem in LQG. The formulated problems address the two design objectives: to maximize the control reward and to minimize the privacy risk. I have conducted theoretic analysis on the LQG control policy in the agent identity privacy problem and the trade-off between the control reward and the privacy risk.Finally, the theoretic results are justified by numerical experiments. From the numerical results, I expected to have some interesting observations and insights, which are explained in the last chapter.

Recupero e riutilizzo di uno scarpone da sci a fine vita. Ottimizzazione del processo di Design for Recycling con simulazione agli elementi finiti validata tramite correlazione di immagini digitale

Il presente elaborato di tesi è parte di un ampio progetto finalizzato alla realizzazione di uno scarpone da sci ottenuto per il 90% di materiale da riciclo di scarponi da sci a fine vita. L’obiettivo è di realizzare la progettazione del nuovo scarpone, e caratterizzarne le proprietà flessionali avvalendosi ti tecniche di simulazione numerica FEM validata attraverso Correlazione di Immagini Digitale. La caratterizzazione flessionale è realizzata con la prova del Flex Test, che consiste nell’imporre una flessione dorsale ad una protesi di gamba. Le prime simulazioni FEM di questo complesso modello hanno evidenziato delle criticità. La presente ricerca, si pone l’obiettivo di risolvere singolarmente questi problemi. Inizialmente, si è realizzata la blend polimerica dei materiali dello scafo e del gambetto dello scarpone. Si è effettuata la caratterizzazione meccanica del materiale, confrontandolo con il materiale vergine. Si è poi ricercato il modello costitutivo più adeguato di materiale iperelastico per il FEM. Successivamente, si è ottenuto il modello CAD della scarpetta attraverso l’approccio reverse engineering, con la tecnica della scansione 3D, la quale ha consentito di ottenere il file. STEP da aggiungere al modello FEM. La conoscenza della geometria effettiva ha consentito di realizzare il design della nuova scarpetta ottenuta da materiale riciclato. Infine, si è utilizzata la Correlazione di Immagini Digitali per studiare la cinematica della chiusura dei ganci dello scafo, e per studiare lo stato di deformazione residua a chiusura effettuata. Si è valutata l’influenza del piede della protesi, e della scarpetta, durante la chiusura dei ganci. In seguito, si è confrontato quanto ottenuto dalle evidenze sperimentali della DIC, con la simulazione agli elementi finiti. Si tratta di un approccio innovativo, che vede per la prima volta implementata la Correlazione di Immagini Digitali per realizzare la caratterizzazione meccanica di uno scarpone da sci.

Design for uncertainty of aerospace structures

The aim of this work is to present a general overview of state-of-the-art related to design for uncertainty with a focus on aerospace structures. In particular, a simulation on a FCCZ lattice cell and on the profile shape of a nozzle will be performed. Optimization under uncertainty is characterized by the need to make decisions without complete knowledge of the problem data. When dealing with a complex problem, non-linearity, or optimization, two main issues are raised: the uncertainty of the feasibility of the solution and the uncertainty of the objective value of the function. In the first part, the Design Of Experiments (DOE) methodologies, Uncertainty Quantification (UQ), and then Uncertainty optimization will be deepened. The second part will show an application of the previous theories on through a commercial software. Nowadays multiobjective optimization on high non-linear problem can be a powerful tool to approach new concept solutions or to develop cutting-edge design. In this thesis an effective improvement have been reached on a rocket nozzle. Future work could include the introduction of multi scale modelling, multiphysics approach and every strategy useful to simulate as much possible real operative condition of the studied design.

Upper-Limb Exoskeleton Design for Firefighter

Every day, firefighters are involved in emergency response tasks, which are both physically and psychologically exhausting. According to the National Fire Protection Association (NFPA), the number of firefighters who are injured or die while performing their job is incredibly high. When firefighters are injured, they must follow a rehabilitation therapy program to physically recover and depending on the severity of their injuries they may not fully recuperate at all. If they sustain a permanent injury that they cannot recover from, they may be out of work for the rest of their career. This research focuses on studying and developing a special device, known as an exoskeleton, aimed at assisting and preventing potential injuries among firefighters. Nowadays, the usage of human exoskeletons is becoming more common in a variety of fields. In fact, it is currently being researched and developed for soldiers, athletes, and critical care patients around the world. Most of the existing exoskeletons have been developed for the assistance of the lower human body. The research that I have done in my thesis instead relates to mobility of the upper body. Many of the existing exoskeletons have been analyzed and compared to each other and the human body, such as the study of human arm parts and their movements around three principal joints: shoulder, elbow, and wrist. The correct design of the shoulder exoskeleton join is still a big challenge for designers because of the complexity of biomechanical human movements. The exoskeleton must fit perfectly to the human body, otherwise it could be harmful for both the recovery and the safety of the user. The goal of this thesis is to design an upper-body arm exoskeleton worn by firefighters and develop and test a PID control system to prevent the risk of injuries while performing their job.

Computational design of a new type of sandwich cross-section for a defined solution of a tree-like column produced by wire-and-arc additive manufacturing

When it comes to designing a structure, architects and engineers want to join forces in order to create and build the most beautiful and efficient building. From finding new shapes and forms to optimizing the stability and the resistance, there is a constant link to be made between both professions. In architecture, there has always been a particular interest in creating new shapes and types of a structure inspired by many different fields, one of them being nature itself. In engineering, the selection of optimum has always dictated the way of thinking and designing structures. This mindset led through studies to the current best practices in construction. However, both disciplines were limited by the traditional manufacturing constraints at a certain point. Over the last decades, much progress was made from a technological point of view, allowing to go beyond today's manufacturing constraints. With the emergence of Wire-and-Arc Additive Manufacturing (WAAM) combined with Algorithmic-Aided Design (AAD), architects and engineers are offered new opportunities to merge architectural beauty and structural efficiency. Both technologies allow for exploring and building unusual and complex structural shapes in addition to a reduction of costs and environmental impacts. Through this study, the author wants to make use of previously mentioned technologies and assess their potential, first to design an aesthetically appreciated tree-like column with the idea of secondly proposing a new type of standardized and optimized sandwich cross-section to the construction industry. Parametric algorithms to model the dendriform column and the new sandwich cross-section are developed and presented in detail. A catalog draft of the latter and methods to establish it are then proposed and discussed. Finally, the buckling behavior of this latter is assessed considering standard steel and WAAM material properties.

GUI design for in-car message diagnosis

Electronics needs communication to serve the vehicular world, to let all ECUs to com- municate with each other are needed buses, each bus serves different stuffs and is able to communicate. In the evolution of automotive architecture, integration of multiple func- tionalities in a single ECU will be one of the key aspects. The analysis of in-vehicle data, both for diagnosis and study-case of a particular behaviour, is the basis for future’s technologies and applications. Starting from these ideas, the need of creating a correlation between the Vehicle state and the anomaly. In order to create a link among them, has been created an interface able to simplify the in-car diagnosis and creating a link among vehicle stateand anomaly, looking also to the study-case of the driver's behaviour.

Fighting child marriage in developing countries: design and development of a mobile application

Child marriage is still a great issue in developing countries and even if the interventions to prevent it are having results, they are not enough to eliminate the problem. Among the strategies that seem to work most to fight child marriage, there is the empowerment of girls with information combined with education of parents and community. As smartphones are more accessible year after year in developing countries, this thesis wants to investigate if a mobile app could be effective in fighting child marriage and which characteristics such an app should have. The research was organized in four phases and used design and creation and case study methodologies. Firstly, the literature was analyzed and an initial design was proposed. Secondly, expert interviews were performed to gain feedback on the proposed design, and afterwards prototype was built. Thirdly, a case study in the Democratic Republic of Congo (DRC) was performed to test the prototype, gaining insights and improvements through group interviews with 26 girls aged 15-19. Finally, a first version of the app was developed and a second phase of the case study was run in the DRC to understand if the girls were able to use the app. This phase included 14 girls of which 6 had participated in the prototype testing and used questionnaires as a data generation method. The app was built following the Principles for Digital Development. Even if this app is built based on the case study in DRC is modular and easily adaptable to other contexts as it is not content-specific. It was shown that is worth continuing to study this topic and it was defined a conceptual framework for designing learning apps for developing countries, in particular, to fight child, early, and forced marriage.

Progetto LetsBox!: definizione del ciclo di vita del prodotto, design, sviluppo e validazione dell’UX

Questo volume di tesi ha l'obiettivo di descrivere l'intero processo di progettazione, sviluppo e rilascio di un'applicazione mobile, coinvolgendo anche gli end-user nella fase finale di valutazione. In particolare, il volume di tesi si sviluppa su quattro capitoli che descrivono 1) l'analisi dei requisiti, seguendo un approccio AGILE, 2) l'analisi del ciclo di vita del prodotto (inclusi business model e business plan), 3) l'architettura del sistema, e, infine, 4) la valutazione dell’usabilità e della UX. L'applicazione usata come caso di studio è "LetsBox!", un'applicazione mobile della categoria puzzle game, sviluppata sfruttando il framework di sviluppo di app ibride IONIC 5, con l’obiettivo di creare un gioco che coinvolgesse il giocatore tanto da farlo giocare nei suoi momenti di svago e indurlo a sfidare i record esistenti ma, nello stesso tempo creare un gioco originale e non esistente sul mercato.

"Assisted factorial experimental design" per l'ottimizzazione della determinazione di benzene ematico in gc-fid

La quantificazione del benzene ematico è un tema di grande interesse nell'ambito della tossicologia occupazionale. La determinazione dell'analita, estratto nello spazio di testa di un vial, è eseguita mediante l'utilizzo di un gascromatografo con rilevatore a ionizzazione di fiamma (GC-FID). Si è cercato di ottimizzare il processo di estrazione del benzene dal sangue allo spazio di testa ed il successivo trasferimento dell'analita nella colonna cromatografica, mediante l'applicazione di un disegno sperimentale fattoriale a tre fattori e due livelli (DoE). I fattori individuati per impostare il piano sperimentale sono stati: variazione della temperatura di incubazione (A) del vial contenente il campione di sangue, pH del campione (B), modulato mediante aggiunta di una soluzione di H2SO4 e forza ionica (C), regolata mediante una soluzione acquosa di NaCl. I livelli scelti per ciascuna variabile sono stati: per A 40 e 60 °C; per B pH naturale del campione e pH a seguito dell'aggiunta di 1 mL di H2SO4 1.8 M; per C FI naturale del campione e FI dovuta all'aggiunta di una soluzione acquosa di sodio cloruro (5 g/L). Dall'analisi dei risultati forniti dal DoE, si è osservato che A, B e C hanno effetti tra loro contrastanti, per questo motivo non sembra essere vantaggioso combinare variabili differenti. In compenso, sia l'aumento di temperatura che l'aggiunta di acido solforico portano a significativi miglioramenti nell'estrazione di benzene dal sangue. Tra i tre trattamenti risulta essere B quello più efficace, motivo per il quale si ritiene che l'aggiunta di una soluzione acquosa di H2SO4 al campione di sangue porti ad una maggiore sensibilità e risoluzione strumentale. Sicuramente la sensibilità del metodo elaborato non può essere paragonata alle tradizionali determinazioni con spettrometro di massa, ma si ritiene possa essere sufficientemente soddisfacente per valutare l'esposizione a benzene dei lavoratori a rischio e come analisi di screening rapida ed economica.

Robotics and neurodevelopmental disorder: design and implementation of a system of engagement metrics in human-robot interactions.

In the recent decades, robotics has become firmly embedded in areas such as education, teaching, medicine, psychology and many others. We focus here on social robotics; social robots are designed to interact with people in a natural and interpersonal way, often to achieve positive results in different applications. To interact and cooperate with humans in their daily-life activities, robots should exhibit human-like intelligence. The rapid expansion of social robotics and the existence of various kinds of robots on the market have allowed research groups to carry out multiple experiments. The experiments carried out have led to the collections of various kinds of data, which can be used or processed for psychological studies, and studies in other fields. However, there are no tools available in which data can be stored, processed and shared with other research groups. This thesis proposes the design and implementation of visual tool for organizing dataflows in Human Robot Interaction (HRI).

Structural steel design with BIM technology - interventions on a three buildings block in Deruta (PG)

The aim of this thesis is to use the developments, advantages and applications of "Building Information Modelling" (BIM) with emphasis on the discipline of structural design for steel building located in Perugia. BIM was mainly considered as a new way of planning, constructing and operating buildings or infrastructures. It has been found to offer greater opportunities for increased efficiency, optimization of resources and generally better management throughout the life cycle of a facility. BIM increases the digitalization of processes and offers integrated and collaborative technologies for design, construction and operation. To understand BIM and its benefits, one must consider all phases of a project. Higher initial design costs often lead to lower construction and operation costs. Creating data-rich digital models helps to better predict and coordinate the construction phases and operation of a building. One of the main limitations identified in the implementation of BIM is the lack of knowledge and qualified professionals. Certain disciplines such as structural and mechanical design depend on whether the main contractor, owner, general contractor or architect need to use or apply BIM to their projects. The existence of a supporting or mandatory BIM guideline may then eventually lead to its adoption. To test the potential of the BIM adoption in the steel design process, some models were developed taking advantage of a largely diffuse authoring software (Autodesk Revit), to produce construction drawings and also material schedule that were needed in order to estimate quantities and features of a real steel building. Once the model has been built the whole process has been analyzed and then compared with the traditional design process of steel structure. Many relevant aspect in term of clearness and also in time spent were shown and lead to final conclusions about the benefits from BIM methodology.

Design of a wearable platform for PPG analysis with multicore low-power processor

Photoplethysmography (PPG) sensors allow for noninvasive and comfortable heart-rate (HR) monitoring, suitable for compact wearable devices. However, PPG signals collected from such devices often suffer from corruption caused by motion artifacts. This is typically addressed by combining the PPG signal with acceleration measurements from an inertial sensor. Recently, different energy-efficient deep learning approaches for heart rate estimation have been proposed. To test these new solutions, in this work, we developed a highly wearable platform (42mm x 48 mm x 1.2mm) for PPG signal acquisition and processing, based on GAP9, a parallel ultra low power system-on-chip featuring nine cores RISC-V compute cluster with neural network accelerator and 1 core RISC-V controller. The hardware platform also integrates a commercial complete Optical Biosensing Module and an ARM-Cortex M4 microcontroller unit (MCU) with Bluetooth low-energy connectivity. To demonstrate the capabilities of the system, a deep learning-based approach for PPG-based HR estimation has been deployed. Thanks to the reduced power consumption of the digital computational platform, the total power budget is just 2.67 mW providing up to 5 days of operation (105 mAh battery).

Design e simulazione di un convertitore DC-DC per applicazioni automotive implementato mediante tecnologia GaN

L’obiettivo dell’elaborato è quello di presentare una soluzione di collegamento ed interfacciamento tra il supercondensatore (SC) dell’HESS (sistema ibrido di accumulo dell’energia situato all’interno di un veicolo elettrico) e il DC-link (bus che fornisce la potenza necessaria all’inverter che pilota il motore elettrico) attraverso un convertitore DC-DC ad alta efficienza che utilizzi tecnologie di potenza al nitruro di gallio (GaN). Il convertitore presentato è un convertitore DC-DC bidirezionale in configurazione Half-Bridge, esso dovrà funzionare in modalità Boost, ogni qualvolta il motore richieda energia extra dal SC, in modalità Buck per ricaricare il SC durante la frenata rigenerativa. In seguito ad un’introduzione ai veicoli elettrici, alla loro architettura e al perché il SC è così fondamentale, verrà presentata una breve introduzione ai convertitori di potenza (Capitolo 1). Si passerà poi alla presentazione delle tecnologie GaN mostrando come esse rappresentino il futuro dell’elettronica di potenza grazie ai loro numerosi vantaggi (Capitolo 2). Nel capitolo 3 si entrerà nel vivo della progettazione, è qui che sarà progettata ed implementata la soluzione proposta. Verrà effettuata una prima simulazione del circuito, tenendo conto degli effetti parassiti dei soli componenti, attraverso l’ausilio del software LTSpice. Il Capitolo 4 prevede una breve introduzione alle tecniche di layout, utili nella costruzione del circuito stampato presentata all’interno del medesimo capitolo. Il PCB sarà modellato mediante un secondo software denominato KiCAD. Infine, nel Capitolo 5, si procederà con la simulazione elettromagnetica del circuito stampato, essa permetterà di individuare gli effetti parassiti dovuti alle non idealità del layout e di mostrare l’effettiva differenza di efficienza tra un caso semi-ideale e un caso semi-reale.

Modeling and Design of Phase Shifted Full Bridge Isolated DC-DC ZVS Converter with Peak Current Mode Control

Nowadays, there is a boom in the use of electrification. Electric vehicles are gaining interest worldwide due to various factors, including climate and environmental awareness. In this thesis, a step-down isolated power supply for electric tractors is investigated, specifically the phase-shifted full-bridge (PSFB) DC-DC with synchronous rectification and zero-voltage switching (ZVS). This converter was selected for its high-power capacity with high efficiency. A 3500 W PSFB converter with peak current control (PCCM) is designed and modeled in MATLAB. The input voltage range is from 550 V to 820 V and the output voltage range is limited to 9 V to 16 V with a maximum output current of 250 A. All components were commercially designed and selected, including magnetics for the high-frequency transformer and inductors, taking into account loss calculations. Zero voltage switching for the lagging leg is achieved at 13% to 100% load. The proven efficiency of the converter is around 90

Design and implementation of an optimal motion cueing algorithm for the Stuttgart Driving Simulator

Driving simulators emulate a real vehicle drive in a virtual environment. One of the most challenging problems in this field is to create a simulated drive as real as possible to deceive the driver's senses and cause the believing to be in a real vehicle. This thesis first provides an overview of the Stuttgart driving simulator with a description of the overall system, followed by a theoretical presentation of the commonly used motion cueing algorithms. The second and predominant part of the work presents the implementation of the classical and optimal washout algorithms in a Simulink environment. The project aims to create a new optimal washout algorithm and compare the obtained results with the results of the classical washout. The classical washout algorithm, already implemented in the Stuttgart driving simulator, is the most used in the motion control of the simulator. This classical algorithm is based on a sequence of filters in which each parameter has a clear physical meaning and a unique assignment to a single degree of freedom. However, the effects on human perception are not exploited, and each parameter must be tuned online by an engineer in the control room, depending on the driver's feeling. To overcome this problem and also consider the driver's sensations, the optimal washout motion cueing algorithm was implemented. This optimal control-base algorithm treats motion cueing as a tracking problem, forcing the accelerations perceived in the simulator to track the accelerations that would have been perceived in a real vehicle, by minimizing the perception error within the constraints of the motion platform. The last chapter presents a comparison between the two algorithms, based on the driver's feelings after the test drive. Firstly it was implemented an off-line test with a step signal as an input acceleration to verify the behaviour of the simulator. Secondly, the algorithms were executed in the simulator during a test drive on several tracks.