The following is a case study in contemporary cancel culture through three cases of it in the nineteenth century. Lord Byron, Lady Caroline Lamb, and Harriet Beecher Stowe serve as three prominent cases of cancel culture in their time period that are all closely linked to one another. Cancel culture changes the way that we study these figures and their writing in the modern day. This shows that although we believe that cancel culture is a new phenomenon with the rise of social media that is not the case. Cancel culture has been happening through time as a way for the public to enact social justice without getting the court involved. Cancel culture is a lesson in the public court of opinion. / Master of Arts / The following is a case study in contemporary cancel culture through three cases of it in the nineteenth century. Writers, Lord Byron, Lady Caroline Lamb, and Harriet Beecher Stowe serve as three prominent cases of cancel culture in their time period that are all closely linked to one another. Cancel culture changes the way that we study these figures and their writing in the modern day. It highlights how cancel culture is not as black and white as people initially believe while also showing an unbiased explanation of what transpires when a person is canceled. This shows that although we believe that cancel culture is a new phenomenon with the rise of social media that is not the case. Cancel culture has been happening through time as a way for the public to enact social justice without getting the court involved. Cancel culture is a lesson in the public court of opinion.

We describe a framework for global shipping container monitoring using machine learning with multi-sensor hubs and infrared catadioptric imaging. A wireless mesh radio satellite tag architecture provides connectivity anywhere in the world which is a significant improvement to legacy methods. We discuss the design and testing of a low-cost long-wave infrared catadioptric imaging device and multi-sensor hub combination as an intelligent edge computing system that, when equipped with physics-based machine learning algorithms, can interpret the scene inside a shipping container to make efficient use of expensive communications bandwidth. The histogram of oriented gradients and T-channel (HOG+) feature as introduced for human detection on low-resolution infrared catadioptric images is shown to be effective for various mirror shapes designed to give wide volume coverage with controlled distortion. Initial results for through-metal communication with ultrasonic guided waves show promise using the Dynamic Wavelet Fingerprint Technique (DWFT) to identify Lamb waves in a complicated ultrasonic signal.

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Damage detection in mechanical and aerospace structures is critical to maintaining safe and optimal performance. The early detection of damage increases safety and reduces cost of maintenance and repair. Structural Health Monitoring (SHM) integrates sensor networks and structures to autonomously interrogate the structure and detect damage. The development of robust SHM systems is becoming more vital as aerospace structures are becoming more complex. New SHM methods that can determine the health of the structure without using traditional non-destructive evaluation techniques will decrease the cost and time associated with these investigations. The primary SHM method uses the signals recorded on a pristine structure as a reference and compares operational signals to the baseline measurement. One of the current limitations of baseline SHM is that environmental factors, such as temperature and stress, can change the system response so the algorithm indicates damage when there is none. Many structures which can benefit from SHM have multiple components and often have connections and interfaces that also can change under environmental conditions, thus changing the dynamics of the system. This dissertation addresses some of the current limitations of SHM. First the changes that temperature variations and applied stress create on Lamb wave propagation velocity in plates is analytically modeled and validated. Two methods are developed for the analytical derivative of the Lamb wave velocity; the first uses assumes a thermoelastic material while the second expands thermoelastic theory to include thermal expansion and the associated stresses. A model is developed so the baseline measurement can be compensated to eliminate the false positives due to environmental conditions without storage of dispersion curves or baseline signals at each environmental state. Next, a wave based instantaneous baseline method is presented which uses the comparison of simultaneously captured real time signals and can be used to eliminate the influence of environmental effects on damage detection. Finally, wave transmission and conversion across interfaces in prestressed bars is modeled to provide a better understanding of how the coupled axial and flexural dynamics of a non-ideal preloaded interface change with applied load. / Ph. D.

M.S.

When a lamb named Bunny sees a young boy beaten by the sheep farm’s caretaker, he goes on a killing spree to stop the abuse. But as the body count rises, he grows a taste for human blood and is forced to confront the violence he’s brought into the world or feed on the young boy – the last source of human blood on the farm.

The research presented in this thesis is based on improving current structural health monitoring (SHM) technology. Structural health monitoring is a damage detection technique that involves placing intelligent sensors on a structure, periodically recording data from the sensors, and using statistical methods to analyze the data in order to assess the condition of the structure. This work focuses on improving two areas of SHM; baseline management and energy supplies. Several successful SHM methods have been developed in which prerecorded baseline measurements are compared to current measurements in order to identify damage. The need to compare new data to a prerecorded baseline can present several complications including data management issues and difficulty in controlling the effects of varying environmental conditions on the data. Another potential area for improvement in SHM systems deals with their energy supplies. Many SHM systems currently require wired power supplies or batteries to operate. Practical SHM applications often require inexpensive, stand alone sensors, data acquisition, and processing hardware that does not require maintenance. To address the issue of baseline management, a novel SHM technique is developed. This new method accomplishes instantaneous baseline measurements by deploying an array of piezoelectric sensors/actuators used for Lamb wave propagation-based SHM such that data recorded from equidistant sensor-actuator paths can be used to instantaneously identify several common features of undamaged paths. Once identified, features from these undamaged paths can be used to form a baseline for real-time damage detection. This method utilizes the concept of sensor diagnostics, a recently developed technique that minimizes false damage identification and measurement distortion caused by faulty sensors. Several aspects of the instantaneous baseline damage detection method are explored in this work including the implementation of sensor diagnostics, determination of the features best used to identify damage, development of signal processing algorithms used to analyze data, and the comparison of two sensor/actuator deployment schemes. The ultimate goal in the development of practical SHM systems is to create autonomous damage detection systems. A limiting factor in current SHM technology is the energy supply required to operate the system. Many existing SHM systems utilize wired power supplies or batteries to power sensors, data transmission, data acquisition, and data processing hardware. Although batteries eliminate the need to run wires to SHM hardware, their periodic replacement requires components to be placed in easily accessible locations which is not always practical, especially in embedded applications. Additionally, there is a high cost associated with battery monitoring and replacement. In an effort to eliminate replaceable energy supplies in SHM systems, the concept of energy harvesting is investigated. Energy harvesting devices are designed to capture surrounding ambient energy and convert it into usable electrical energy. Several types of energy harvesting exist, including vibration, thermal, and solar harvesting. A solar energy harvesting system is developed for use in powering SHM hardware. Integrating energy harvesting technology into SHM systems can provide autonomous health monitoring of structures. / Master of Science

Le contrôle de la propagation des ondes élastiques repose principalement sur la conception de milieu artificiel à base de matériaux structurés pour obtenir une ingénierie avancée de la dispersion de la propagation. Au cours de la thèse, la dispersion du mode (S0) dans des membranes micro-structurées à base d’AlN a été numériquement investiguée et les applications qui en découlent explorées. Il est mis en évidence le lien fort entre la dispersion du mode et la sensibilité aux perturbations externes en combinant la membrane d’AlN avec une couche de SiO2 structurée en rubans. En particulier, il est montré qu’il est possible d’obtenir un TCF=0 pour les résonateurs sans presque aucune dégradation du coefficient K2. Il est montré qu’il est possible d’ouvrir des bandes interdites avec une largeur de l’ordre de 50% en structurant l’AlN sous forme de rubans ou en utilisant des piliers pour former un PhnC. Sur cette base, des designs de cavités et de guides d’ondes sont proposés et leurs performances sont étudiées en fonction des paramètres géométriques. Il est également proposé un nouveau design de cavité basé sur l’introduction d’un défaut résonant dans le PhnC sous forme de disque de dimension très petite par-rapport à la taille de la cellule élémentaire. Le défaut permet d’introduire des modes quasi-plats dans le diagramme de bande et permet en conséquence la conception d’une nouvelle génération de dispositifs phononiques robustes pour des applications en traitement du signal et capteurs. Les structures optimales sont utilisées pour la conception de capteur de champs magnétiques, une sensibilité de 5% est obtenue pour le mode localisé dans le cas d’un disque magnéto-élastique / The control of elastic wave propagation relies mainly on the design of artificial media based on structured materials to achieve advanced propagation dispersion engineering. During the thesis, the dispersion of the mode (S0) in micro-structured membranes based on AlN was numerically investigated and the resulting applications explored. The strong link between mode dispersion and sensitivity to external disturbances is highlighted by combining the AlN membrane with a layer of SiO2 structured into strips. In particular, it is shown that it is possible to obtain a TCF = 0 for the resonators without any degradation of the K2 coefficient. It is shown that it is possible to open wide band-gaps of 50% by structuring the AlN in the shape of strips or using pillars to form a PhnC. On this basis, designs of cavities and waveguides are proposed and their performances are studied according to the geometrical parameters. It is also proposed a new cavity design based on the introduction of a resonant defect with a disc shape in the PhnC and presenting very small size in comparison to the unit cell. The defect makes it possible to introduce quasi-flat modes in the band diagram and consequently allows the design of a new generation of phononic devices for signal processing and sensor applications. The optimal structures are used to design a magnetic field sensor design, a sensitivity of 5% is obtained for the localized mode in the case of defect based on magneto-elastic thin film.