To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
With this groundbreaking text, discover how wireless artificial intelligence (AI) can be used to determine position at centimeter level, sense motion and vital signs, and identify events and people. Using a highly innovative approach that employs existing wireless equipment and signal processing techniques to turn multipaths into virtual antennas, combined with the physical principle of time reversal and machine learning, it covers fundamental theory, extensive experimental results, and real practical use cases developed for products and applications. Topics explored include indoor positioning and tracking, wireless sensing and analytics, wireless power transfer and energy efficiency, 5G and next-generation communications, and the connection of large numbers of heterogeneous IoT devices of various bandwidths and capabilities. Demo videos accompanying the book online enhance understanding of these topics. Providing a unified framework for wireless AI, this is an excellent text for graduate students, researchers, and professionals working in wireless sensing, positioning, IoT, machine learning, signal processing and wireless communications.
Research Data Management (RDM) has become a professional topic of great importance internationally following changes in scholarship and government policies about the sharing of research data. Exploring Research Data Management provides an accessible introduction and guide to RDM with engaging tasks for the reader to follow and develop their knowledge. Starting by exploring the world of research and the importance and complexity of data in the research process, the book considers how a multi-professional support service can be created then examines the decisions that need to be made in designing different types of research data service from local policy creation, training, through to creating a data repository.
Chapter 7 describes how 3D printing technology will disrupt trademark law’s core function of indicating the source or origin of manufactured goods. The technology dissociates product design from product manufacturing. Design is embodied in a 3D printable file, while manufacturing is commoditized and democratized. When 3D printable files, as opposed to manufactured goods, are offered for sale, symbols appearing “inside” of the digital files (i.e., on the digital object) do not indicate the source of the file. Rather, source indicators are found “outside” of the file, on the websites that offer the files for sale. 3D printing technology will also radically disrupt the doctrine of post-sale confusion. At the same time, current, expanded theories of trademark law condemn uses of symbols that might dilute a trademark or suggest a connection to a trademark owner. These stronger versions of trademark protection, which are widely criticized, would give trademark owners to the right to control most uses of their marks “inside” of files. This would inhibit innovation and creative expression without a clear benefit to the public. Therefore, I recommend against these stronger protections for DMFs.