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This book introduces basic machine learning concepts and applications for a broad audience that includes students, faculty, and industry practitioners. We begin by describing how machine learning provides capabilities to computers and embedded systems to learn from data. A typical machine learning algorithm involves training, and generally the performance of a machine learning model improves with more training data. Deep learning is a sub-area of machine learning that involves extensive use of layers of artificial neural networks typically trained on massive amounts of data. Machine and deep learning methods are often used in contemporary data science tasks to address the growing data sets a...
While it may be attractive to view sensors as simple transducers which convert physical quantities into electrical signals, the truth of the matter is more complex. The engineer should have a proper understanding of the physics involved in the conversion process, including interactions with other measurable quantities. A deep understanding of these interactions can be leveraged to apply sensor fusion techniques to minimize noise and/or extract additional information from sensor signals. Advances in microcontroller and MEMS manufacturing, along with improved internet connectivity, have enabled cost-effective wearable and Internet of Things sensor applications. At the same time, machine learning techniques have gone mainstream, so that those same applications can now be more intelligent than ever before. This book explores these topics in the context of a small set of sensor types. We provide some basic understanding of sensor operation for accelerometers, magnetometers, gyroscopes, and pressure sensors. We show how information from these can be fused to provide estimates of orientation. Then we explore the topics of machine learning and sensor data analytics.
Why language ability remains resilient and how it shapes our lives. We acquire our native language, seemingly without effort, in infancy and early childhood. Language is our constant companion throughout our lifetime, even as we age. Indeed, compared with other aspects of cognition, language seems to be fairly resilient through the process of aging. In Changing Minds, Roger Kreuz and Richard Roberts examine how aging affects language—and how language affects aging. Kreuz and Roberts report that what appear to be changes in an older person's language ability are actually produced by declines in such other cognitive processes as memory and perception. Some language abilities, including vocab...
This book constitutes the refereed post-conference proceedings of the 9th International Conference on Mobile Communication and Healthcare, MobiHealth 2020, held in December 2020. Due to Covid-19 pandemic the conference was held virtually. The book contains 13 full papers selected from the main conference and 10 full papers from two workshops on medical artificial intelligence and on digital healthcare technologies. The conference papers are organized in topical sections on wearable technologies; health telemetry; mobile sensing and assessment; machine learning in eHealth applications.
The availability of inexpensive, custom, highly integrated circuits is enabling some very powerful systems that bring together sensors, smart phones, wearables, cloud computing, and other technologies. To design these types of complex systems we are advocating a top-down simulation methodology to identify problems early. This approach enables software development to start prior to expensive chip and hardware development. We call the overall approach virtual design. This book explains why simulation has become important for chip design and provides an introduction to some of the simulation methods used. The audio lifelogging research project demonstrates the virtual design process in practice. The goals of this book are to: explain how silicon design has become more closely involved with system design; show how virtual design enables top down design; explain the utility of simulation at different abstraction levels; show how open source simulation software was used in audio lifelogging. The target audience for this book are faculty, engineers, and students who are interested in developing digital devices for Internet of Things (IoT) types of products.
Blurring is almost an omnipresent effect on natural images. The main causes of blurring in images include: (a) the existence of objects at different depths within the scene which is known as defocus blur; (b) blurring due to motion either of objects in the scene or the imaging device; and (c) blurring due to atmospheric turbulence. Automatic estimation of spatially varying sharpness/blurriness has several applications including depth estimation, image quality assessment, information retrieval, image restoration, among others. There are some cases in which blur is intentionally introduced or enhanced; for example, in artistic photography and cinematography in which blur is intentionally intro...
"This monograph presents a new history of early American literature that traces the diverse forms of fiction circulating in the early United States (1789-1861) and how they shaped the way Americans thought and argued about political and cultural issues of their age"--
This is a book about the multi-faceted notion of gender. Gender differences form the basis for family life, patterns of socialization, distribution of tasks, and spheres of responsibilities. The way gender is articulated shapes the world of individuals, and of the societies they live in. Gender has three faces: Linguistic Gender-the original sense of 'gender'-is a feature of many languages and reflects the division of nouns into grammatical classes or genders (feminine, masculine, This is a book about the multi-faceted notion of gender. Gender differences form the basis for family life, patterns of socialization, distribution of tasks, and spheres of responsibilities. The way gender is artic...
The adaptive configuration of nodes in a sensor network has the potential to improve sequential estimation performance by intelligently allocating limited sensor network resources. In addition, the use of heterogeneous sensing nodes provides a diversity of information that also enhances estimation performance. This work reviews cognitive systems and presents a cognitive fusion framework for sequential state estimation using adaptive configuration of heterogeneous sensing nodes and heterogeneous data fusion. This work also provides an application of cognitive fusion to the sequential estimation problem of target tracking using foveal and radar sensors.
"Busing, in which students were transported by school buses to achieve court ordered or voluntary school desegregation, became one of the nation's most controversial civil rights issues in the decades after Brown v. Board of Education (1954). Examining battles over school desegregation in cities like Boston, Chicago, New York, and Pontiac, Why Busing Failed shows how school officials, politicians, courts, and the news media valued the desires of white parents more than the rights of black students, and how antibusing parents and politicians borrowed media strategies from the civil rights movement to thwart busing for school desegregation. This national history of busing brings together well-...