A modern definition of self-defense is in order. One way of defining self-defense is to explain what it is not. Personal self-defense is not warfare; it is not vengeance; it is not an art; it is not a sporting event; it is not a movie or television fight scene.
Self-defense is preparation to minimize the possibility of assault. It is training to learn and use appropriate and effective physical actions if there is no practical available alternative.
Self-defense instruction is the beginning of a process of learning how to avoid becoming a victim.
Many victims of assault are victims not because they lack the capacity to win fights but because they have been given absolutely no preparation to cope with this special kind of emergency.
Mobile Authentication: Problems and Solutions looks at human-to-machine authentication, with a keen focus on the mobile scenario. Human-to-machine authentication is a startlingly complex issue. In the old days of computer security-before 2000, the human component was all but disregarded. It was either assumed that people should and...
This volume constitutes the proceedings of the 9th International Workshop on
Groupware (CRIWG 2003). The conference was held in the city of Autrans, on
the spectacular Vercors plateau in the foothills of the French Alps. The organizing
committee could not have thought of a better setting to inspire lively
discussions and reflection on...
Harness the Power of Your Most Valuable Resource—Your Workforce!
Process improvement approaches like Six Sigma and Lean Enterprise have worked wonders for countless organizations, but in the drive for true excellence, these approaches are only one important part of the formula.
As I wrote this book, I had in mind Web designers with at least a little experience building sites, who are curious about how CSS can help them become more effective designers. It is, then, aimed at a beginner to intermediate designer. I shall assume a strong grasp of HTML, but that's about it.
Software systems that used to be relatively autonomous entities such as e.g. accounting systems, order-entry systems etc. are now interlinked in large networks comprising extensive information infrastructures. What earlier used to be stand-alone proprietary systems are now for the most part replaced by more or less standardized interdependent...
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...