You probably created your business because you wanted to solve real-world problems, and in the process achieve wealth and freedom. However, running your own show is often tougher than expected - you find yourself hustling with pure grit, making mistake after mistake, until you are frustrated and burnt out, especially if you are trying to scale up the company. If this sounds like where you are now, then this book is for you. Dive in and learn from the author's own experience of how he scaled up his own company, achieved success and wealth, and broke free from the everyday grind. His methodology - the 5E Scale Engine - consists of practical steps that you can immediately take action on to systematically scale up your business and get to 7 figures and beyond, consistently and comfortably. Immerse yourself in the 5E Scale Engine and discover: - What entrepreneurs need to focus on in order to scale up properly; - How to incorporate systems that free up your time and cut down your effort; - What sequence to do things in so that you don't waste time spinning your wheels; - How to recruit and retain A-star players on your team; - How to feel happy and in control of your business.

This book presents the author's view of how the global semiconductor industry will evolve, based on recent megatrends not only in the industry but also in society, including the rapid proliferation of AI, the global semiconductor shortage, the rising importance of semiconductors in the value chain, and the movement to democratize semiconductors. It describes and explains major transformations taking place in the industry as a result, which necessitate significant changes not only to its technology but also its economic model and industrial structure. Finally, the book elaborates on the author's theory of super-evolution of semiconductors that will lead to the success of the industry in the emerging knowledge-based digital society. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com).

Super-Resolution Imaging serves as an essential reference for both academicians and practicing engineers. It can be used both as a text for advanced courses in imaging and as a desk reference for those working in multimedia, electrical engineering, computer science, and mathematics. The first book to cover the new research area of super-resolution imaging, this text includes work on the following groundbreaking topics: Image zooming based on wavelets and generalized interpolation; Super-resolution from sub-pixel shifts; Use of blur as a cue; Use of warping in super-resolution; Resolution enhancement using multiple apertures; Super-resolution from motion data; Super-resolution from compressed video; Limits in super-resolution imaging. Written by the leading experts in the field, Super-Resolution Imaging presents a comprehensive analysis of current technology, along with new research findings and directions for future work.

The definitive guide to "state-of-the-art" black & white scanning from the company that makes the bestselling scanners. Written for the HP owner, it explains how to get the most out of an HP scanner and use it in new and unexpected ways. Includes scanning tips for numerous software applications and "how-tos" for scanning clip art, physical objects, transparent objects, and more.

With the exponential increase in computing power and broad proliferation of digital cameras, super-resolution imaging is poised to become the next "killer app." The growing interest in this technology has manifested itself in an explosion of literature on the subject. Super-Resolution Imaging consolidates key recent research contributions from eminent scholars and practitioners in this area and serves as a starting point for exploration into the state of the art in the field. It describes the latest in both theoretical and practical aspects of direct relevance to academia and industry, providing a base of understanding for future progress. Features downloadable tools to supplement material found in the book Recent advances in camera sensor technology have led to an increasingly larger number of pixels being crammed into ever-smaller spaces. This has resulted in an overall decline in the visual quality of recorded content, necessitating improvement of images through the use of post-processing. Providing a snapshot of the cutting edge in super-resolution imaging, this book focuses on methods and techniques to improve images and video beyond the capabilities of the sensors that acquired them. It covers: History and future directions of super-resolution imaging Locally adaptive processing methods versus globally optimal methods Modern techniques for motion estimation How to integrate robustness Bayesian statistical approaches Learning-based methods Applications in remote sensing and medicine Practical implementations and commercial products based on super-resolution The book concludes by concentrating on multidisciplinary applications of super-resolution for a variety of fields. It covers a wide range of super-resolution imaging implementation techniques, including variational, feature-based, multi-channel, learning-based, locally adaptive, and nonparametric methods. This versatile book can be used as the basis for short courses for engineers and scientists, or as part of graduate-level courses in image processing.

This text presents an engaging exposition of the active field of high-dimensional percolation that will likely provide an impetus for future work. With over 90 exercises designed to enhance the reader’s understanding of the material, as well as many open problems, the book is aimed at graduate students and researchers who wish to enter the world of this rich topic. The text may also be useful in advanced courses and seminars, as well as for reference and individual study. Part I, consisting of 3 chapters, presents a general introduction to percolation, stating the main results, defining the central objects, and proving its main properties. No prior knowledge of percolation is assumed. Part II, consisting of Chapters 4–9, discusses mean-field critical behavior by describing the two main techniques used, namely, differential inequalities and the lace expansion. In Parts I and II, all results are proved, making this the first self-contained text discussing high-dime nsional percolation. Part III, consisting of Chapters 10–13, describes recent progress in high-dimensional percolation. Partial proofs and substantial overviews of how the proofs are obtained are given. In many of these results, the lace expansion and differential inequalities or their discrete analogues are central. Part IV, consisting of Chapters 14–16, features related models and further open problems, with a focus on the big picture.

This book constitutes the refereed proceedings of the 36th International Conference on High Performance Computing, ISC High Performance 2021, held virtually in June/July 2021. The 24 full papers presented were carefully reviewed and selected from 74 submissions. The papers cover a broad range of topics such as architecture, networks, and storage; machine learning, AI, and emerging technologies; HPC algorithms and applications; performance modeling, evaluation, and analysis; and programming environments and systems software.

The sixteen-volume set comprising the LNCS volumes 11205-11220 constitutes the refereed proceedings of the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.The 776 revised papers presented were carefully reviewed and selected from 2439 submissions. The papers are organized in topical sections on learning for vision; computational photography; human analysis; human sensing; stereo and reconstruction; optimization; matching and recognition; video attention; and poster sessions.