This useful monograph presents a total of seven prototypes: two double-sampled S/H circuits, a time-interleaved ADC, an IF-sampling self-calibrated pipelined ADC, a current steering DAC with a deglitcher, and two pipelined ADCs employing the SO techniques.
How would you like to have the ability to be the most charismatic and influential person in the company? The ultimate people person who can empathize, get along, communicate and persuade anyone! Whether peers, subordinates, bosses even clients just feel good around you! You just totally understand them! It's almost like you have a super power that makes you irresistibly charismatic to EVERYONE! Interpersonal relationships are crucial elements to leaders as they deal with different types of individuals in the organization. These relationships can either make or break people depending on how they are used. Leaders need to develop the essential "peoples skills" which they will use in bringing out the best in people. These skills are important in their daily interaction with various folks of different backgrounds, nature and characteristics and also helps in understanding them better.
1. 1 Background The basis for the material in this book centers around research done in an ongoing long-term project which focuses on the development of highly au- 1 tonomousunmannedaerialvehiclesystems. Theactualplatformwhichserves as a case study for the research in this book will be described in detail later in this chapter. Before doing that, a brief background of the motivations - hind this research will be provided. One of the main research topics in the project is knowledge representation and reasoning and its use in Uav pl- forms. A very strong constraint has been placed on the nature of research done in the project where theoretical results, to the greatest extent possible, should serve as a basis for tractable reasoning mechanisms for use in a fully deployed autonomous Uav operating under soft real-time constraints asso- ated with the types of mission scenarios envisioned. Considering that much of the work with knowledge representation in this context focuses on application domains where one can only hope for an incomplete characterization of such domains, this methodological constraint has proven to be quite challenging since, in essence, the focus is on tractable approximate and nonmonotonic reasoning systems. As is well known, until recently, nonmonotonic formalisms have had a notorious reputation for lack of tractable and scalable reasoning systems.
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