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The lion's share of smartphones, computers, televisions, semiconductor devices, and other electronics goods is made in East Asia. Final electronics goods are assembled in China, and sophisticated parts and components (P&C) such as semiconductor chips, image sensors, and ceramic filters in upstream Asian economies such as Japan, South Korea, and Taiwan. How did Asia become the center of electronics manufacturing? How did learning take place that allowed Asian workers to produce cutting-edge products? Are there lessons for countries like the US that seek to reshore manufacturing of semiconductors, flat-panel displays, and related products? This Element addresses these issues.

Electronic Industries --- Electronics industry --- Electric industries

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The DATE conference addresses all aspects of research into technologies for electronic and embedded system engineering It covers the design process, test, and automation tools for electronics ranging from integrated circuits to distributed embedded systems This includes both hardware and embedded software design issues The conference scope also includes the elaboration of design requirements and new architectures for challenging application fields such as telecoms, wireless communications, multimedia, healthcare, smart energy and automotive systems Companies also present innovative industrial designs to foster the feedback from realworld design to research DATE also hosts a number of special sessions, events within the main technical programme such as panels, hot topic sessions, tutorials and workshops.

Electronic systems --- Electronic industries --- Design and construction --- Automation

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The precarious reality of videogame production beyond the corporate blockbuster studios of North America. The videogame industry, we're invariably told, is a multibillion-dollar, high-tech business conducted by large corporations in certain North American, European, and East Asian cities. But most videogames today, in fact, are made by small clusters of people working on shoestring budgets, relying on existing, freely available software platforms, and hoping, often in vain, to rise to stardom -- in short, people working like artists. Aiming squarely at this disconnect between perception and reality, The Videogame Industry Does Not Exist presents a much more accurate and nuanced picture of how the vast majority of videogame-makers work -- a picture that reveals the diverse and precarious communities, identities, and approaches that make videogame production a significant cultural practice. Drawing on insights provided by over 400 game developers across Australia, North America, Europe, and Southeast Asia, Brendan Keogh develops a new framework for understanding videogame production as a cultural field in all its complexity. Part-time hobbyists, aspirational students, client-facing contractors, struggling independents, artist collectives, and tightly knit local scenes -- all have a place within this model. But proponents of non-commercial game making don't exist in isolation; Keogh shows how they and their commercial counterparts are deeply interconnected and codependent in the field of videogame production. A cultural intervention, The Videogame Industry Does Not Exist challenges core assumptions about videogame production--ideas about creativity, professionalism, labor, diversity, education, globalization, and community. Its in-depth, complex portrayal suggests new ways of seeing, and engaging in, the videogame industry that really does exist.

Video games industry. --- Computer games industry --- Electronic games industry --- Internet games industry --- Video game industry --- Electronic industries --- Toy industry

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In this book, innovative research using artificial neural networks (ANNs) is conducted to automate the sizing task of RF IC design, which is used in two different steps of the automatic design process. The advances in telecommunications, such as the 5th generation broadband or 5G for short, open doors to advances in areas such as health care, education, resource management, transportation, agriculture and many other areas. Consequently, there is high pressure in today’s market for significant communication rates, extensive bandwidths and ultralow-power consumption. This is where radiofrequency (RF) integrated circuits (ICs) come in hand, playing a crucial role. This demand stresses out the problem which resides in the remarkable difficulty of RF IC design in deep nanometric integration technologies due to their high complexity and stringent performances. Given the economic pressure for high quality yet cheap electronics and challenging time-to-market constraints, there is an urgent need for electronic design automation (EDA) tools to increase the RF designers’ productivity and improve the quality of resulting ICs. In the last years, the automatic sizing of RF IC blocks in deep nanometer technologies has moved toward process, voltage and temperature (PVT)-inclusive optimizations to ensure their robustness. Each sizing solution is exhaustively simulated in a set of PVT corners, thus pushing modern workstations’ capabilities to their limits. Standard ANNs applications usually exploit the model’s capability of describing a complex, harder to describe, relation between input and target data. For that purpose, ANNs are a mechanism to bypass the process of describing the complex underlying relations between data by feeding it a significant number of previously acquired input/output data pairs that the model attempts to copy. Here, and firstly, the ANNs disrupt from the most recent trials of replacing the simulator in the simulation-based sizing with a machine/deep learning model, by proposing two different ANNs, the first classifies the convergence of the circuit for nominal and PVT corners, and the second predicts the oscillating frequencies for each case. The convergence classifier (CCANN) and frequency guess predictor (FGPANN) are seamlessly integrated into the simulation-based sizing loop, accelerating the overall optimization process. Secondly, a PVT regressor that inputs the circuit’s sizing and the nominal performances to estimate the PVT corner performances via multiple parallel artificial neural networks is proposed. Two control phases prevent the optimization process from being misled by inaccurate performance estimates. As such, this book details the optimal description of the input/output data relation that should be fulfilled. The developed description is mainly reflected in two of the system’s characteristics, the shape of the input data and its incorporation in the sizing optimization loop. An optimal description of these components should be such that the model should produce output data that fulfills the desired relation for the given training data once fully trained. Additionally, the model should be capable of efficiently generalizing the acquired knowledge in newer examples, i.e., never-seen input circuit topologies.

Machine learning. --- Neural networks (Computer science). --- Mathematics—Data processing. --- Machine Learning. --- Mathematical Models of Cognitive Processes and Neural Networks. --- Computational Science and Engineering. --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Artificial intelligence --- Natural computation --- Soft computing --- Learning, Machine --- Machine theory --- Integrated circuits --- Integrated circuits industry. --- Neural networks (Computer science) --- Design and construction. --- Electronic industries

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This book systematically discusses the intelligent scheduling problem of complex semiconductor manufacturing systems from theory to method and then to application. The main contents include data-driven scheduling framework of semiconductor manufacturing system, data preprocessing of semiconductor manufacturing system, correlation analysis of performance index of semiconductor production line, intelligent release control strategy, dynamic dispatching rules simulating pheromone mechanism, and load balancing dynamic scheduling of semiconductor production line, performance index-driven dynamic scheduling method of semiconductor production line, scheduling trend of semi-conductor manufacturing system in big data environment. This book aims to provide readers with valuable reference and assistance in the theoretical methods, techniques, and application cases of semiconductor manufacturing systems and their intelligent scheduling. .

Production scheduling. --- Semiconductor industry. --- Electronic industries --- Job scheduling (Production control) --- Job-shop scheduling --- Project scheduling (Production control) --- Scheduling (Management) --- Production control --- Scheduling --- Electronics. --- Computational intelligence. --- Industrial engineering. --- Production engineering. --- Engineering—Data processing. --- Electronics and Microelectronics, Instrumentation. --- Computational Intelligence. --- Industrial and Production Engineering. --- Data Engineering. --- Manufacturing engineering --- Process engineering --- Industrial engineering --- Mechanical engineering --- Management engineering --- Simplification in industry --- Engineering --- Value analysis (Cost control) --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Electrical engineering --- Physical sciences --- Industrial Engineering --- Electronics --- Technology & Engineering