With the transformation from an industrial to an information-based society, corporations are required more than ever to utilize all their employees' knowledge to keep up with market demands. Therefore, personal informal networks and communities are becoming the major information resource in addition to the classical handbooks and document management systems containing highly structured information objects. Many technically sophisticated systems for document and content management have been designed to assist knowledge workers in exchanging information and expertise, but in most cases they fail to meet expectations. This book presents one possible solution to assist network organizers in designing informal knowledge networks by introducing a model and a software toolset to improve decision support. The model, based on findings from computational organization theory and social network analysis, extends the existing explanatory research, and allows for developing appropriate strategies of community engineering and anticipating the potential impacts on organizational performance before taking action.
Utilizing magnetic induction for wireless communication, wireless powering, passive relaying, and localization could enable massive wireless sensor applications with tiny nodes in challenging media, foremost biomedical in-body sensor networks. This work investigates the performance limits of these unique wireless systems with hardly any assumptions. As a foundation, a general system model and an interface to communication theory are developed. A major part of this work identifies two crucial magneto-inductive fading channels: that between randomly oriented coils and that caused by a nearby swarm of resonant passive relay coils. The analysis yields important technological implications. Based thereon, an investigation of wirelessly-powered in-body sensors is conducted, revealing their active and passive data transmission capabilities. Finally, a treatise of magneto-inductive node localization develops algorithms that perform near identified accuracy limits in theory and practice.
With the transformation from an industrial to an information-based society, corporations are required more than ever to utilize all their employees' knowledge to keep up with market demands. Therefore, personal informal networks and communities are becoming the major information resource in addition to the classical handbooks and document management systems containing highly structured information objects. Many technically sophisticated systems for document and content management have been designed to assist knowledge workers in exchanging information and expertise, but in most cases they fail to meet expectations. This book presents one possible solution to assist network organizers in designing informal knowledge networks by introducing a model and a software toolset to improve decision support. The model, based on findings from computational organization theory and social network analysis, extends the existing explanatory research, and allows for developing appropriate strategies of community engineering and anticipating the potential impacts on organizational performance before taking action.
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