Digital Fun Stuff
The new research presented in this volume suggests that general perceptions (cultural, psychological, geographical), allied to the customs and values of journalism, and underpinned by the uses of technology, significantly shape international news. This gives rise to a blend of the old and the new; traditions of cultural centredness and innovative practices; anchorages of place and the rootlessness of globalization. Technology per se has not swept all before it. On the other hand, its uses have altered the means and methods of international news sourcing, construction and dissemination. Consequently, the uptake of technology has contributed to fundamental changes in style and form, and has greatly facilitated cross-cultural exchanges. The category a international newsa (TM) is now more of a hybrid, as recognized by the BBC and others. The chapters in this book demonstrate that this hybridity is unevenly distributed across geo-political domains, and often across time. Nevertheless, as the contributors to this volume show, the concept of a international newsa (TM) relies on tightly interwoven elements of orthodox journalism, social media, civic expression and public assembly.
In this amazing title, readers will explore the possibilities new developments in technology are opening up for making maps. Mapmakers are using satellite data to map the locations of people and objects on Earth, making video maps using the Internet to show wind and weather systems, and creating specialized maps that show human behavior. Computer game technology, such as Minecraft, is even being used to map real places.
<p> This is an introductory to intermediate level text on the science of image processing, which employs the Matlab programming language to illustrate some of the elementary, key concepts in modern image processing and pattern recognition. The approach taken is essentially practical and the book offers a framework within which the concepts can be understood by a series of well chosen examples, exercises and computer experiments, drawing on specific examples from within science, medicine and engineering. <p> Clearly divided into eleven distinct chapters, the book begins with a <i>fast-start</i> introduction to image processing  to enhance the accessibility of later topics. Subsequent chapters offer increasingly advanced discussion of topics involving more challenging concepts, with  the final chapter  looking at the application of automated image classification (with Matlab examples) . <p> Matlab is frequently used in the book as a tool for demonstrations, conducting experiments and for solving problems, as it is both ideally suited to this role and is widely available. Prior experience of Matlab is not required and those without access to Matlab can still benefit from the independent presentation of topics and numerous examples. <ul> <li> <div>Features a companion website <a href="http://www.wiley.com/go/solomon/fundamentals">www.wiley.com/go/solomon/fundamentals</a> containing a Matlab <a name="_GoBack"><i>fast-start</i></a> primer, further  exercises, examples, instructor resources and accessibility to all files corresponding to the examples and exercises within the book itself.<br> </div> <li> <div>Includes numerous examples, graded exercises and computer experiments to support both students and instructors alike.</div> </ul> <p>
Digital Fun Stuff Articles
Digital Fun Stuff Books
Digital Fun Stuff