Principles of Forensic Engineering Applied to Industrial Accidents by
An introductory text on the investigation of industrial accidents Forensic engineering should be seen as a rigorous approach to the discovery of root causes that lead to an accident or near-miss. The approach should be suitable to identify both the immediate causes as well as the underlying factors that affected, amplified, or modified the events in terms of consequences, evolution, dynamics, etc., as well as the contribution of an eventual "human error". This book is a concise and introductory volume to the forensic engineering discipline which helps the reader to recognize the link among those important, very specialized aspects of the same problem in the global strategy of learning from accidents (or near-misses). The reader will benefit from a single point of access to this very large, technical literature that can be only correctly understood with the right terms, definitions, and links in mind. Keywords: Presents simple (real) cases, as well as giving an overview of more complex ones, each of them investigated within the same framework; Gives the readers the bibliography to access more in-depth specific aspects; Offers an overview of the most commonly used methodologies and techniques to investigate accidents, including the evidence that should be collected to define the cause, dynamics and responsibilities of an industrial accident, as well as the most appropriate methods to collect and preserve the evidence through an appropriate chain of security. Principles of Forensic Engineering Applied to Industrial Accidents is essential reading for researchers and practitioners in forensic engineering, as well as graduate students in forensic engineering departments and other professionals.
The Rise of Engineering Science by
The 18th and 19th centuries saw the emergence of new intermediary types of knowledge in areas such as applied mechanics, fluid mechanics and thermodynamics, which came to be labeled as engineering science, transforming technology into the scientific discipline that we know today. This book analyzes how the Scientific Revolution of the 16th and 17th centuries and the Industrial Revolution of the 18th and 19th centuries provided the intellectual, social, economic and institutional foundations for the emergence of engineering science. The book then traces the rise of engineering science from the 18th century through the 19th century and concludes by showing how it led to new technological developments in such areas as steel production, the invention of internal combustion engines, the creation of automobiles and airplanes, and the formulation of Mass Production and Scientific Management all of which brought about major transformations in the materials, power sources, transportation and production techniques that have come to shape our modern world.
Information Technology Innovation by
Information technology (IT) is widely understood to be the enabling technology of the 21st century. IT has transformed, and continues to transform, all aspects of our lives: commerce and finance, education, energy, health care, manufacturing, government, national security, transportation, communications, entertainment, science, and engineering. IT and its impact on the U.S. economy?both directly (the IT sector itself) and indirectly (other sectors that are powered by advances in IT)?continue to grow in size and importance. IT's impacts on the U.S. economy?both directly (the IT sector itself) and indirectly (other sectors that are powered by advances in IT)?continue to grow. IT enabled innovation and advances in IT products and services draw on a deep tradition of research and rely on sustained investment and a uniquely strong partnership in the United States among government, industry, and universities. Past returns on federal investments in IT research have been extraordinary for both U.S. society and the U.S. economy. This IT innovation ecosystem fuels a virtuous cycle of innovation with growing economic impact. Building on previous National Academies work, this report describes key features of the IT research ecosystem that fuel IT innovation and foster widespread and longstanding impact across the U.S. economy. In addition to presenting established computing research areas and industry sectors, it also considers emerging candidates in both categories.
Engineering Graphics by
This professionaltreatise on engineering graphics emphasizes engineering geometry as thetheoretical foundation for communication of design ideas with real worldstructures and products. It considers each theoretical notion of engineeringgeometry as a complex solution of direct- and inverse-problems of descriptivegeometry and each solution of basic engineering problems presented isaccompanied by construction of biunique two- and three-dimension models ofgeometrical images. The book explains the universal structure of formalalgorithms of the solutions of positional, metric, and axonometric problems, aswell as the solutions of problems of construction in developing a curvilinearsurface. The book further characterizes and explains the added laws ofprojective connections to facilitate construction of geometrical images in anyof eight octants. Laws of projective connections allow constructing the complexdrawing of a geometrical image in the American system of measurement and theEuropean system of measurement without errors and mistakes. The arrangement ofprojections of a geometrical image on the complex drawing corresponds to anarrangement of views of a product in the projective drawing for the Europeansystem of measurement. The volume is ideal for engineers working on a range ofdesign projects as well as for students of civil, structural, and industrialengineering and engineering design.
Savage Mind to Savage Machine by
An examination of how concepts of "the savage" facilitated technological approaches to modernist design Attempting to derive aesthetic systems from natural structures of human cognition, designers looked toward the "savage mind"--a way of thinking they associated with a racialized subaltern. In Savage Mind to Savage Machine, Ginger Nolan uncovers an enduring relationship between "the savage" and the development of technology and its wide-ranging impact on society, including in the fields of architecture and urbanism, the industrial arts, and digital design. Nolan focuses on the relationship between the applied arts and the structuralist social sciences, proposing that the late-nineteenth-century rise of Freudian psychology, ethnology, and structuralist linguistics offered innovations and new opportunities in studying human cognition. She looks at institutions ranging from the Public Industrial Arts School of Philadelphia and the Weimar Bauhaus to the MIT Media Lab and the Centre Mondial Informatique, revealing a persistent theme of twentieth-century design: to supplant language with more subliminal, aesthetic modes of communication, thereby inculcating a deep intimacy between human habit and new technologies of production, communication, and consumption. This book's ultimate critique is of the development of the ergonomics of the spirit--the design of the human cognitive apparatus in relation to new aesthetic technologies. Nolan sees these ergonomics as a means of depoliticizing societies through aesthetic technologies intended to seamlessly integrate humans into the programs of capitalist modernity. Revising key modernist design narratives, Savage Mind to Savage Machine provides a deep historical foundation for understanding our contemporary world.
Artificial Intelligence in Mechanical and Industrial Engineering by
Artificial Intelligence in Mechanical and Industrial Engineering offers a unified platform for the dissemination of basic and applied knowledge on the integration of artificial intelligence within the realm of mechanical and industrial engineering. The book covers the tools and information needed to build successful careers and a source of knowledge for those working with AI within these domains. The book offers a systematic approach to explicate fundamentals as well as recent advances. It incorporates various case studies for major topics as well as numerous examples. It will also include real-time intelligent automation and associated supporting methodologies and techniques, and cover decision-support systems, as well as applications of Chaos Theory and Fractals. The book will give scientists, researchers, instructors, students, and practitioners the tools and information needed to build successful careers and to be an impetus to advancements in next-generation mechanical and industrial engineering domains.