67 results (0,25569 seconds)

Brand

Merchant

Price (EUR)

Reset filter

Products
From
Shops

Silicon Photonics for High-Performance Computing and Beyond

Silicon Photonics for High-Performance Computing and Beyond

Silicon photonics is beginning to play an important role in driving innovations in communication and computation for an increasing number of applications from health care and biomedical sensors to autonomous driving datacenter networking and security. In recent years there has been a significant amount of effort in industry and academia to innovate design develop analyze optimize and fabricate systems employing silicon photonics shaping the future of not only Datacom and telecom technology but also high-performance computing and emerging computing paradigms such as optical computing and artificial intelligence. Different from existing books in this area Silicon Photonics for High-Performance Computing and Beyond presents a comprehensive overview of the current state-of-the-art technology and research achievements in applying silicon photonics for communication and computation. It focuses on various design development and integration challenges reviews the latest advances spanning materials devices circuits systems and applications. Technical topics discussed in the book include: • Requirements and the latest advances in high-performance computing systems• Device- and system-level challenges and latest improvements to deploy silicon photonics in computing systems• Novel design solutions and design automation techniques for silicon photonic integrated circuits• Novel materials devices and photonic integrated circuits on silicon• Emerging computing technologies and applications based on silicon photonics Silicon Photonics for High-Performance Computing and Beyond presents a compilation of 19 outstanding contributions from academic and industry pioneers in the field. The selected contributions present insightful discussions and innovative approaches to understand current and future bottlenecks in high-performance computing systems and traditional computing platforms and the promise of silicon photonics to address those challenges. It is ideal for researchers and engineers working in the photonics electrical and computer engineering industries as well as academic researchers and graduate students (M. S. and Ph. D. ) in computer science and engineering electronic and electrical engineering applied physics photonics and optics.

GBP 150.00
1

E. M. Forster’s Material Humanism Queer Matters

Pro Tools LE and M-Powered The complete guide

Spintronics Handbook Second Edition: Spin Transport and Magnetism Three Volume Set

Re-imagining Democracy Legacy Impact and Lessons of Spain's 15-M Movement

Re-imagining Democracy Legacy Impact and Lessons of Spain's 15-M Movement

This interdisciplinary book draws on leading scholarship on one of the most influential and consequential social movements of the past decades: Spain’s 15-M movement. The volume explores the legacy impact and outcomes of the movement and the lessons it offers for understanding mobilization in times of crisis. The book opens with a theoretical reconsideration of the positive ways social movements can impact democracy moving the field forward significantly. It also offers rich case studies to explore a range of areas of interest to social movement scholars. Chapters explore the biographical consequences of participation in social movements; how memories of the movement inspired new mobilizations; the reciprocal influence between the 15-M movement and feminist economics; how urban democracy was transformed by municipalism arising from the movement; how the movement generated a “Caring democracy” in the face of the Covid pandemic; and how it gave rise to a new radical democratic media ecosystem. The book explores the movement’s political economy as well as reflects on one of its unintended consequences: the rise of the penalization of counter-hegemonic protest in contemporary Spain. Although focused on a single emblematic movement it offers significant insights and lessons for scholarship on contemporary politics and movements. Re-imagining Democracy provides a valuable resource for scholars and students interested in the challenges faced by contemporary democracies the dynamics of social movements in times of crisis and the profound impact of social movements on contemporary democracy. The chapters in this book were originally published as a peer-reviewed special issue of Social Movement Studies. | Re-imagining Democracy Legacy Impact and Lessons of Spain's 15-M Movement

GBP 130.00
1

Structure and Properties of Clusters: from a few Atoms to Nanoparticles

Theorizing and Applying Systemic Functional Linguistics Developments by Christian M.I.M. Matthiessen

Community Economic Development

(M)Other Perspectives Staging Motherhood in 21st Century North American Theatre & Performance

Femtosecond Laser-Matter Interactions Solid-Plasma-Solid Transformations at the Extreme Energy Density

The Peach Potato Aphid (Myzus persicae) Ecology and Management

The Peach Potato Aphid (Myzus persicae) Ecology and Management

Considered as economically significant pests with worldwide distribution aphids feed on hundreds of cultivated and ornamental plants and cause considerable economic loss on a global scale. The peach-potato aphid Myzus persicae is one of the most severe model aphid pests and successfully colonizes hundreds of plant species from 40 different families. It is a complex aphid pest known for its high reproductive rate biotype formation suppression of plant defenses and wide range of host plants. This book covers ecological aspects - including life cycle damage and host range - which make aphids an economically important pest. A wide range of topics are covered including ecological aspects of M. persicae; challenges with management approaches; damage; suppression of plant defenses; evolution; the mechanism of resistance against major classes of insecticides; the potential of biological control and natural plant-derived compounds (plant defense elicitors) as an alternative to the use of synthetic chemical insecticides to control M. persicae; and integrated pest management for M. persicae. As the peach-potato aphid is a model aphid pest studying it helps to develop control strategies against the entire group of aphids. Written for professionals as well as students teachers and researchers in the fields of entomology ecology and bioscience this book is an enriching new addition to its field. | The Peach Potato Aphid (Myzus persicae) Ecology and Management

GBP 89.99
1

Political Psychology And Biopolitics Assessing And Predicting Elite Behavior In Foreign Policy Crises

Brain Computer Interface EEG Signal Processing

Producing Great Sound for Film and Video Expert Tips from Preproduction to Final Mix

Summability Theory and Its Applications

Key Themes and New Directions in Systemic Functional Translation Studies

Mass Spectrometry in Food Analysis

Mass Spectrometry in Food Analysis

The quality and safety of food are crucial for human nutrition. However evaluating the chemical composition of food is challenging for the analyst and requires powerful methods. Chromatography and mass spectrometry (MS) is the gold standard for analyzing complex food samples including raw materials and intermediate and finished products. Mass Spectrometry in Food Analysis covers the MS-based analysis of different aspects of food quality which include nutritional value profile of macronutrients (proteins lipids and carbohydrates) micronutrients (vitamins) and nutraceutical active compounds. Additionally sensory quality flavor food pigments safety and detection of pesticides contact materials veterinary drugs and pharmaceuticals organic pollutants and pathogens are covered. Key Features: Contains the basics of mass spectrometry and experimental strategies Explores determination of macro- and micronutrients Analyzes sensory and nutraceutical food quality Discusses detection of contaminants and proof of authenticity Presents emerging methods for food analysis This book contains an introductory section that explains the basics of MS and the difference between targeted and untargeted strategies for beginners. Further it points out new analytical challenges such as monitoring contaminants of emerging concern and presents innovative techniques (e. g. ambient ionization MS and data mining). Also available in the Food Analysis & Properties Series: Nanoemulsions in Food Technology: Development Characterization and Applications edited by Javed Ahmad and Leo M. L. Nollet (ISBN: 978-0-367-61492-8) Sequencing Technologies in Microbial Food Safety and Quality edited by Devarajan Thangadurai Leo M. L. Nollet Saher Islam and Jeyabalan Sangeetha (ISBN: 978-0-367-35118-2) Chiral Organic Pollutants: Monitoring and Characterization in Food and the Environment edited by Edmond Sanganyado Basil K. Munjanja and Leo M. L. Nollet (ISBN: 978-0-367-42923-2) For a complete list of books in this series please visit our website at: www. crcpress. com/Food-Analysis-Properties/book-series/CRCFOODANPRO

GBP 175.00
1

The Arctic Journal of Captain Henry Wemyss Feilden R. A. The Naturalist in H. M. S. Alert 1875-1876

The Arctic Journal of Captain Henry Wemyss Feilden R. A. The Naturalist in H. M. S. Alert 1875-1876

The British Arctic Expedition of 1875–6 was the first major British naval expedition to the high Arctic where science was almost as important as geographical exploration. There were hopes that the expedition might find the hypothetical open polar sea and with it the longed-for Northwest Passage and it did reach the highest northern latitude to date. The Royal Society compiled instructions for the expedition and selected two full-time naturalists (an unusual naval concession to science) of whom one Henry Wemyss Feilden proved a worthy choice. Feilden was a soldier who fought in most of the wars in his lifetime including the American Civil War on the Confederate side. On board HMS Alert he kept a daily journal a record important for its scientific content but also as a view of the expedition as seen by a soldier revealing admiration and appreciation for his naval colleagues; he performed whatever tasks were given to him including the rescue of returning sledge parties stricken by scurvy. He also did a remarkably comprehensive job in mapping the geology of Smith Sound; some of his work on the Cape Rawson Beds was the most reliable until the 1950s. He was an all-round naturalist and a particularly fine geologist and ornithologist. He was not just a collector; he pondered the significance of his findings within the context of the best modern science of his day: in zoology Charles Darwin on evolution; in botany Hooker on phytogeography and in geology Charles Lyell’s system. He illustrated his journal with his own sketches and also enclosed the printed programmes of popular entertainments held on the ship and verses for birthdays and sledging (there was a printing press onboard). The journal gives a vigorous impression of a ship’s company well occupied through the winter then increasingly active in sledging and geographical discovery in spring before the scurvy-induced decision to head home in the summer of 1876. After his return Feilden had dealings with many scientists and their institutions finding homes for and meaning in his collections. | The Arctic Journal of Captain Henry Wemyss Feilden R. A. The Naturalist in H. M. S. Alert 1875-1876

GBP 130.00
1

The War on Terrorism 21st-century Perspectives

Europe in the Fourteenth and Fifteenth Centuries

Introduction to Stochastic Level Crossing Techniques

Introduction to Stochastic Level Crossing Techniques

Introduction to Stochastic Level Crossing Techniques describes stochastic models and their analysis using the System Point Level Crossing method (abbreviated SPLC or LC). This involves deriving probability density functions (pdfs) or cumulative probability distribution functions (cdfs) of key random variables applying simple level-crossing limit theorems developed by the author. The pdfs and/or cdfs are used to specify operational characteristics about the stochastic model of interest. The chapters describe distinct stochastic models and associated key random variables in the models. For each model a figure of a typical sample path (realization i. e. tracing over time) of the key random variable is displayed. For each model an analytic (Volterra) integral equation for the stationary pdf of the key random variable is created−by inspection of the sample path using the simple LC limit theorems. This LC method bypasses a great deal of algebra usually required by other methods of analysis. The integral equations will be solved directly or computationally. This book is meant for students of mathematics management science engineering natural sciences and researchers who use applied probability. It will also be useful to technical workers in a range of professions. Key Features: A description of one representative stochastic model (e. g. a single-server M/G/1 queue; a multiple server M/M/c queue; an inventory system; etc. ) Construction of a typical sample path of the key random variable of interest (e. g. the virtual waiting time or workload in queues; the net on-hand inventory in inventory systems; etc. ) Statements of the simple LC theorems which connect the sample-path upcrossing and downcrossing rates across state-space levels to simple mathematical functions of the stationary pdf of the key random variable at those state-space levels Creation of (usually Volterra) integral equations for the stationary pdf of the key random variable by inspection of the sample path Direct analytic solution of the integral equations where feasible; or computational solutions of the integral equations Use of the derived stationary pdfs for obtaining operational characteristics of the model

GBP 120.00
1

Statistical Machine Learning A Unified Framework

Statistical Machine Learning A Unified Framework

The recent rapid growth in the variety and complexity of new machine learning architectures requires the development of improved methods for designing analyzing evaluating and communicating machine learning technologies. Statistical Machine Learning: A Unified Framework provides students engineers and scientists with tools from mathematical statistics and nonlinear optimization theory to become experts in the field of machine learning. In particular the material in this text directly supports the mathematical analysis and design of old new and not-yet-invented nonlinear high-dimensional machine learning algorithms. Features: Unified empirical risk minimization framework supports rigorous mathematical analyses of widely used supervised unsupervised and reinforcement machine learning algorithms Matrix calculus methods for supporting machine learning analysis and design applications Explicit conditions for ensuring convergence of adaptive batch minibatch MCEM and MCMC learning algorithms that minimize both unimodal and multimodal objective functions Explicit conditions for characterizing asymptotic properties of M-estimators and model selection criteria such as AIC and BIC in the presence of possible model misspecification This advanced text is suitable for graduate students or highly motivated undergraduate students in statistics computer science electrical engineering and applied mathematics. The text is self-contained and only assumes knowledge of lower-division linear algebra and upper-division probability theory. Students professional engineers and multidisciplinary scientists possessing these minimal prerequisites will find this text challenging yet accessible. About the Author: Richard M. Golden (Ph. D. M. S. E. E. B. S. E. E. ) is Professor of Cognitive Science and Participating Faculty Member in Electrical Engineering at the University of Texas at Dallas. Dr. Golden has published articles and given talks at scientific conferences on a wide range of topics in the fields of both statistics and machine learning over the past three decades. His long-term research interests include identifying conditions for the convergence of deterministic and stochastic machine learning algorithms and investigating estimation and inference in the presence of possibly misspecified probability models. | Statistical Machine Learning A Unified Framework

GBP 99.99
1

The World of Indigenous North America