Computer Engineering category: 1617 books

Computational Methods in Engineering brings to light the numerous uses of numerical methods in engineering. It clearly explains the application of these methods mathematically and practically, emphasizing programming aspects when appropriate. By approaching the cross-disciplinary topic of numerical...

The casual users Survival Guide! Written for people who understand the basics and want a brief text to demonstrate some of the less intuitive functions. Quickly gets down to the issues that many people grapple with when trying to use some of the more advanced features of the software and enlightens readers...

If you’ve ever read about computer hacking, you might be surprised to learn that companies actually pay people to try to hack into their systems. It’s called “ethical hacking”. Should you decide to learn to conduct ethical hacking, you will be responsible for helping organizations to protect...

“Ultimately, this is a remarkable book, a practical testimonial, and a comprehensive bibliography rolled into one. It is a single, bright sword cut across the various murky green IT topics. And if my mistakes and lessons learned through the green IT journey are any indication, this book will be...

Biometric indicators, such as the subject's photograph have been used by border control for decades to manually identify travelers. However security now requires more stringent tests, so passport control are experimenting with other biometric indicators, such as voice, ear and facial recognition....

Want to build your own robots, turn your ideas into prototypes, control devices with a computer, or make your own cell phone applications? It's a snap with this book and the Arduino open source electronic prototyping platform. Get started with six fun projects and achieve impressive results quickly. Gain...

The Design of Future Educational Interfaces provides a new multidisciplinary synthesis of educational interface research. It explains how computer interfaces can be redesigned to better support our ability to produce ideas, think, and solve problems successfully in national priority areas such as...

Learning how to build and program your own robots with the most popular open source robotics programming framework About This Book Get to know the fundamentals of ROS and apply its concepts to real examples Learn how to write robotics applications without getting bogged down in hardware problems ...

Along with the increasingly important runtime engines pervasive in our daily-life computing, there is a strong demand from the software community for a solid presentation on the design and implementation of modern virtual machines, including the Java virtual machine, JavaScript engine and Android...

Computational Materials Science provides the theoretical basis necessary for understanding atomic surface phenomena and processes of phase transitions, especially crystallization, is given. The most important information concerning computer simulation by different methods and simulation techniques...

Obtain better system performance, lower energy consumption, and avoid hand-coding arithmetic functions with this concise guide to automated optimization techniques for hardware and software design. High-level compiler optimizations and high-speed architectures for implementing FIR filters are covered,...

Modern optimization approaches have attracted an increasing number of scientists, decision makers, and researchers. As new issues in this field emerge, different optimization methodologies must be developed and implemented. Exploring Critical Approaches of Evolutionary Computation is a vital scholarly...

Many techniques have been developed to control the variety of dynamic systems. To develop those control techniques, it is fundamental to know the mathematical relations between the system inputs and outputs. Incorporating Nature-Inspired Paradigms in Computational Applications is a critical scholarly...

The present work provides a platform for leading Data designers whose vision and creativity help us to anticipate major changes occurring in the Data Design field, and pre-empt the future. Each of them strives to provide new answers to the question, “What challenges await Data Design?” To avoid...