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This seminal compendium, available through open access, illuminates the forefront of digital collaboration in production. It introduces the visionary concept of the Internet of Production (IoP), an ambitious initiative by Germany's esteemed Cluster of Excellence at RWTH Aachen University. This handbook pioneers the integration of data, models, and knowledge across development, production, and user cycles, offering interdisciplinary insights into production technology's horizons with the overall objective to create a worldwide lab.The work is organized into seven key parts, each contributing to a comprehensive understanding of the IoP. Part I lays the foundation with interdisciplinary visions and concepts. Part II delves into IoP's infrastructure, encompassing digital shadows and actionable artificial intelligence. Part III examines materials within the digitalized production landscape. Part IV confronts the challenges and potentials of production processes under novel digitalization methods.Part V focuses on production management with data-driven decision support, while Part VI explores agile development processes. Finally, Part VII delves into the interplay between internal and external perspectives in the IoP, human-centered work design, and platform-based ecosystems.Supported by the German Research Foundation (DFG), this compendium redefines manufacturing through the transformative IoP lens. Embrace this scholarly endeavor to embrace technological advancement. This is an open access book.

Watching a game of baseball today means witnessing phenomena that would have been novel, if not completely unheard of, not so long ago. Starting pitchers sling 100 mile-per-hour heat for just four or five innings before departing; third basemen often station themselves much closer to second (to say nothing of the shortstop's whereabouts); home runs and strikeouts dominate at-bats; all while the length of contest tips toward the four-hour mark. There's no getting around it: the game looks different now. And as Major League Baseball scrambles with rule changes, equipment modifications, labor negotiations, and more, fans are left grasping for the true essence of this beloved pastime among the moving pieces. In The New Ballgame, Russell Carleton (The Shift) deftly indentifies and examines the many levers and inflection points that have shaped the game into what we see on the field today. Through a singular blend of statistical analysis, history, and cognitive science, readers will trace the rapid evolution of the modern game while contemplating the sport in an entirely new way. Blending incisive research with affable storytelling, Russell Carleton delivers a kaleidoscopic view on modern baseball in this welcome, revelatory work.

The 2022 edition of The New York Times Bestselling Guide.PLAY BALL! The 27th edition of this industry-leading baseball annual contains all of the important statistics, player predictions and insider-level commentary that readers have come to expect, along with significant improvements to several statistics that were created by, and are exclusive to, Baseball Prospectus, and an expanded focus on international players and teams.Baseball Prospectus 2022 provides fantasy players and insiders alike with prescient PECOTA projections, which The New York Times called “the überforecast of every player's performance.”With more than 50 Baseball Prospectus alumni currently working for major-league baseball teams, nearly every organization has sought the advice of current or former BP analysts, and readers of Baseball Prospectus 2022 will understand why!

The Washington Nationals entered the 2019 season with high hopes but an uncertain identity under second-year manager Dave Martinez. Gone was Bryce Harper. Still around were dominant starting pitchers in Max Scherzer and Stephen Strasburg, star third baseman Anthony Rendon, talented young outfielders Juan Soto and Victor Robles – and the specter of past playoff disappointments. A slow start dragged down by bullpen collapses saw the team 12 games below.500 and 10 games out of first place entering Memorial Day weekend. And then began a turnaround for the ages. Behind bedrock pitching from Strasburg and offseason acquisition Patrick Corbin, clutching hitting from Howie Kendrick and midseason signing Gerardo Parra, the Nationals played the final 112 games of the regular season as well as any team in baseball to capture a wild-card berth. Along the way, they discovered the camaraderie and joy that would propel them to a wild-card victory over Milwaukee, an upset of the Los Angeles Dodgers in the division round, a sweep of the St. Louis Cardinals in the National League Championship Series and, finally, a World Series victory over the Houston Astros. In Fight to the Finish, relive the Nationals'run through the images and words of The Washington Post photographers and reporters who followed the team every step of the way.

As industrial processes and their corresponding control models increase in complexity, the data provided by traditional point sensors is no longer adequate to ensure product quality and cost-effective operation. Process Imaging for Automatic Control demonstrates how in-process imaging technologies surpass the limitations of traditional monitoring systems by providing real-time multidimensional measurement and control data. Combined with suitable data extraction and control schemes, such systems can optimize the performance of a wide variety of industrial processes.Contributed by leading international experts, Process Imaging for Automatic Control offers authoritative, comprehensive coverage of this new area of process control technology, including:Basic goals of process modeling and their application to automatic control Direct imaging devices and applications, such as machine vision and spatial measurement of flow velocity, pressure, shear, pH, and temperature Various techniques, hardware implementations, and image reconstruction methods for process tomography Image enhancement and restoration State estimation methods State space control system models, control strategies, and implementation issues Five chapters devoted to case studies and advanced applicationsFrom theory to practical implementation, this book is the first to treat the entire range of imaging techniques and their application to process control. Supplying broad coverage with more than 270 illustrations and nearly 700 cited references, it presents an accessible introduction to this rapidly growing, interdisciplinary technology.