KMi Seminars
Context Computing Based on Wireless Features
This event took place on Wednesday 04 July 2012 at 11:30

 
Dr. Stephan Sigg National Institute of Informatics


We are surrounded by sensing and actuating wireless devices. This environment is characterised by a high number of devices which can be reportedly explored as atypical ubiquitous sensing devices such as the power supply system, light bulbs or electromagnetic noise. A further ubiquitous sensing source,   incorporated by nearly all electronic devices, and presumably present in all devices that will constitute the Internet of Things, is the RF-interface. The RF-interface is a rich communication medium but also a rich sensing device. Its physical layer capabilities for the description of information and as a fingerprint of environmental situation are only partially explored currently. Environmental changes and situations alter the propagation path of electromagnetic waves and therefore channel characteristics at an RF-receiver, which can, in turn, be utilised for ubiquitous applications. Although this rich context source can support applications in a multitude of ways, its potential is seldom fully exploited. We explore the RF-channel for 1/ the detection of actions and environmental situations from RF features 2/ the reduction of computational load in a distributed context computation 3/ spontaneous, unattended secure device interaction.



 
KMi Seminars
 

Knowledge Management is...


Knowledge Management
Creating learning organisations hinges on managing knowledge at many levels. Knowledge can be provided by individuals or it can be created as a collective effort of a group working together towards a common goal, it can be situated as "war stories" or it can be generalised as guidelines, it can be described informally as comments in a natural language, pictures and technical drawings or it can be formalised as mathematical formulae and rules, it can be expressed explicitly or it can be tacit, embedded in the work product. The recipient of knowledge - the learner - can be an individual or a work group, professionals, university students, schoolchildren or informal communities of interest.
Our aim is to capture, analyse and organise knowledge, regardless of its origin and form and make it available to the learner when needed presented with the necessary context and in a form supporting the learning processes.