Permanent monitoring of blood pressure helps in diagnosis and tracking progress of medical interventions. This dissertation details the design, fabrication and implementation of tiny wirelessly powered implant devices for detection of endoleaks and occlusion occurring in stent grafts used for treatment of Abdominal Aortic Aneurysm (AAA) and portal hypertension (due to liver cirrhosis). Custom fabricated low-power application-specific integrated circuit (ASIC) together with pressure sensors and telemetry units for wireless power reception and data transmission form an implant device. Using wireless inductive telemetry links, these devices achieved a wireless range of 20 cm.
Syntactic foams are particulate polymer matrix composite materials consisting of hollow microspheres dispersed in a matrix. The matrix used in syntactic foams can be polymer, metal, or ceramic. Polymer matrices, particularly the thermosetting polymers, have been the most widely accepted matrices in syntactic foams. From the processing and application point of view, thermosetting syntactic foams have many advantages compared to thermoplastic ones. This chapter deals with syntactic foams based on various thermosetting resins and the chemistry of the resin systems. The resin systems are mainly phenolic, epoxy, cyanate ester, siloxane, polybenzoxazine, bismaleimide, and their blends. Apart from a brief chemistry of the parent resin systems, their syntactic foams have been described in detail. The aspects discussed are their processing, physical, thermal, and mechanical properties, applications, and degradation. Their properties can be engineered by a choice of matrix, microcell structure and its concentration, reinforcement, toughners, etc. While the thermal and thermo-physical characteristics are dictated by resin, mechanical and fracture characteristics are decided by both components. While epoxy, cyanate ester, and other such compounds provide structural syntactic foams, phenolics and their new generation versions provide thermo-structural materials. Syntactic foam ablators have made possible interplanetary space missions. Novel engineering concepts like lightweight self-healing give scope for extended applications of these systems. The recent advances in these areas are also discussed. These special materials with high specific strength are slated to replace conventional structural and thermo-structural materials in related engineering applications ranging from domestic to aerospace and defense.
Tooth plays a major role in the beauty and personality of an individual. Achieving a pleasant smile that contributes much is nothing but the color of the teeth. Attractive teeth have always been the typical patients‟ primary concern. In the past, the dentist was often dismayed by a patient‟s disappointment in a perfect restoration. Today by taking full advantage of new materials and techniques, dentists can often meet or even exceed such expectations. What most people really want, however are teeth that make them look younger, healthier and more attractive. Color of the tooth is of particular importance to the patient because of social and psychological concern. In fact, matching the color of the teeth with the adjacent teeth is one of the major motivations of the patient to seek cosmetic dental treatment
Practical Design and Application of Model Predictive Control is a self-learning resource on how to design, tune and deploy an MPC using MATLAB® and Simulink®. This reference is one of the most detailed publications on how to design and tune MPC controllers. Examples presented range from double-Mass spring system, ship heading and speed control, robustness analysis through Monte-Carlo simulations, photovoltaic optimal control, and energy management of power-split and air-handling control. Readers will also learn how to embed the designed MPC controller in a real-time platform such as Arduino®. The selected problems are nonlinear and challenging, and thus serve as an excellent experimental, dynamic system to show the reader the capability of MPC. The step-by-step solutions of the problems are thoroughly documented to allow the reader to easily replicate the results. Furthermore, the MATLAB® and Simulink® codes for the solutions are available for free download. Readers can connect with the authors through the dedicated website which includes additional free resources at www.practicalmpc.com. - Illustrates how to design, tune and deploy MPC for projects in a quick manner - Demonstrates a variety of applications that are solved using MATLAB® and Simulink® - Bridges the gap in providing a number of realistic problems with very hands-on training - Provides MATLAB® and Simulink® code solutions. This includes nonlinear plant models that the reader can use for other projects and research work - Presents application problems with solutions to help reinforce the information learned
In a world where popular culture constantly shapes and reflects our collective values, norms, and aspirations, this edited volume delves into the intricate tapestry of dilemmas and dialogues that define our contemporary cultural landscape. From the intersection of technology and entertainment to the ever-evolving dynamics of identity and representation, this collection of essays brings together diverse voices to explore the multifaceted dimensions of popular culture. Navigating the paradoxes inherent in our favorite films, television shows, music, literature, and digital spaces, the contributors engage in a thoughtful dialogue that unravels the complexities of our cultural experiences. Each chapter grapples with the dilemmas embedded in the fabric of popular culture, probing questions that challenge our assumptions, spark critical reflection, and invite readers to reconsider the narratives that shape our lives. Dilemmas and Dialogues in Popular Culture is an indispensable resource for scholars, students, and enthusiasts seeking to understand the nuanced challenges and opportunities embedded in the entertainment, media, and cultural phenomena that shape our world.
Digital Twin Development and Deployment in the Cloud: Developing Cloud-Friendly Dynamic Models Using Simulink®/SimscapeTM and Amazon AWS promotes a physics-based approach to the field of digital twins. Through the use of multiphysics models running in the cloud, significant improvement to the diagnostics and prognostic of systems can be attained. The book draws a clear definition of digital twins, helping business leaders clearly identify the value it brings. In addition, it outlines the key elements needed for deployment, including the hardware and software tools needed. Special attention is paid to the process of developing and deploying the multi-physics models of the digital twins. - Provides a high-level overview of digital twins and their underutilization in the field of asset management and maintenance - Proposes a streamline process to create digital twins for a wide variety of applications using MATLAB® SimscapeTM - Deploys developed digital twins on Amazon Web Services - Includes MATLAB and Simulink codes available for free download on MATLAB central - Covers popular prototyping hardwares, such as Arduino and Raspberry Pi
The concept of fuzzy logic refers to a specific subset of many-valued logic. In this line of reasoning, the truth value of a variable can be any real integer, including any fraction that is between 0 and 1. This applies to all fractions as well. It achieves this by regulating the concept of partial truth, in which the truth value may switch between being entirely true and entirely false at any given moment. This objective may be accomplished by making use of the tool for managing concepts. In contrast, the truth values of variables in Boolean logic can never be anything other than the integer values 0 or 1, as there are only two alternatives that even have a remote chance of occurring. This is because there are only two options that are even remotely imaginable. It is common practice to consider the fuzzy set theory, which was created in 1965 by the Iranian-Azerbaijani mathematician Lotfi Zadeh, to be the basis for fuzzy logic. However, since the 1920s, scholars have been investigating fuzzy logic, which was also known as infinite-valued logic at the time. Most notably, Lukasiewicz and Tarski were the researchers that began this line of inquiry. This particular investigation didn't wrap up until the 1960s, but it began in the 1920s. The idea of fuzzy logic is based on the fact that decision-makers frequently rely on hazy and non-numerical information. In other words, this is the origin of fuzzy logic. The mathematical methods of fuzzy modeling and fuzzy set creation, both of which are used to describe ambiguous and imprecise information, are where the name "fuzzy" first appeared. These models are capable of recognizing, representing, manipulating, understanding, and using facts and information that are fundamentally hazy and ambiguous in nature. Fuzzy logic has been effectively applied in a variety of applications, from control theory to artificial intelligence. Conventional patterns of thinking can only ever lead to conclusions that are either correct or incorrect. However, there are other statements that may elicit a range of responses, such as the answers you could get if you asked a group of individuals to name a color. One that invites people to name a meal is another 1 | P a ge illustration of this kind of proposal. In situations like this, it is the application of reasoning based on incomplete or inaccurate information that leads to the finding of the truth. This argument entails plotting the sampled responses on a spectrum. Although degrees of truth and probabilities both range from 0 to 1, fuzzy logic employs degrees of truth as a mathematical model of ambiguity whereas probability is a mathematical model of ignorance, despite the fact that they may initially appear to be the same. Although they could at first glance appear to be the same because both probability and degrees of truth range from 0 to 1, this is only because they do.
Permanent monitoring of blood pressure helps in diagnosis and tracking progress of medical interventions. This dissertation details the design, fabrication and implementation of tiny wirelessly powered implant devices for detection of endoleaks and occlusion occurring in stent grafts used for treatment of Abdominal Aortic Aneurysm (AAA) and portal hypertension (due to liver cirrhosis). Custom fabricated low-power application-specific integrated circuit (ASIC) together with pressure sensors and telemetry units for wireless power reception and data transmission form an implant device. Using wireless inductive telemetry links, these devices achieved a wireless range of 20 cm.
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