Why should you learn about Linux? It’s a fast-growing operating system, and it’s inexpensive and flexible. Linux is also a major player in the small and mid-sized server field, and it’s an increasingly viable platform for workstation and desktop use as well. By understanding Linux, you’ll...
Rewriting is a form of inference, and one that interacts in several ways
with other forms of inference such as decision procedures and proof search. We
discuss a range of issues at the intersection of rewriting and inference. How can
other inference procedures be combined with rewriting? Can rewriting be used to
describe...
Looking to port Android to other platforms such as embedded devices? This hands-on book shows you how Android works and how you can adapt it to fit your needs. You’ll delve into Android’s architecture and learn how to navigate its source code, modify its various components, and create your own version of Android for your...
The Linux TCP/IP Stack: Networking for Embedded Systems provides an in-depth guide to implementing and using the Linux TCP/IP stack in embedded systems projects. It begins with a general overview of TCP/IP networking, with background information on applicable networking standards. From there, it details the TCP/IP implementation in Linux 2.6...
Explore the multidisciplinary nature of complex networks through machine learning techniques
Statistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel approaches on graph classes and graph measures for...
*ISA System Architecture describes the hardware architecture of ISA (Industry Standard Architecture), providing a clear, concise explanation of an ISA system in detail. The authors provide a comprehensive treatment of the bus including: **-bus cycles *-addressing *-I/O *-RAM, ROM, and cache memory *-cache architectures *-decode and reset...
This accessible text/reference presents a coherent overview of the emerging field of non-Euclidean similarity learning. The book presents a broad range of perspectives on similarity-based pattern analysis and recognition methods, from purely theoretical challenges to practical, real-world applications. The coverage includes both supervised...
In open innovation scenarios, firms are able to profit from technological developments that take place beyond the legal boundaries. However, in the absence of contract-based vertical command chains, such as in the case of open source software (OSS), it is difficult for firms to obtain control over the innovation project's trajectory. In...
The hybrid/heterogeneous nature of future microprocessors and large high-performance computing systems will result in a reliance on two major types of components: multicore/manycore central processing units and special purpose hardware/massively parallel accelerators. While these technologies have numerous benefits, they also pose substantial...
Pervasive and networked computers have dramatically reduced the cost of collecting and distributing large datasets. In this context, machine learning algorithms that scale poorly could simply become irrelevant. We need learning algorithms that scale linearly with the volume of the data while maintaining enough statistical efficiency to...
