Figure 4 - uploaded by Andreas Heinemann
Content may be subject to copyright.
Download
View publication
Example for a VoiceXML based speech recognition grammar. (from: [ToberMarchand2002])

Example for a VoiceXML based speech recognition grammar. (from: [ToberMarchand2002])

Source publication
Figure 1: A ME device and its primary characteristics.
Figure 3: Interaction of local and server-based speech recognition 
Figure 4: Example for a VoiceXML based speech recognition grammar....
Towards Personalized Ubiquitous Computing Services
Article
Full-text available
  • Oct 2002
This technical report introduces goals and early findings of a multi-year multi-party project MUNDO. MUNDO is a pool of services and enablers for mobile and ubiquitous computing. It emphasizes easy global evolutionary deployment as a migra- tion path for the Internet as a whole towards a nomadic computing economy. The no- madic users access the net...
Cite
Download full-text

Context in source publication

Context 1
... most commonly known example for such a command recognition tech- nique is VoiceXML [W3C2001] While rules in such regular languages are simple to create and to edit, this approach severely restricts its users as inputs not conforming to the grammar are discarded (c.f. Figure 4). ...

Citations

... These two survey papers provide an overview over the existing middleware approaches in WSN, but to the best of our knowledge none of these is designed to work in MME with its different dimensions of heterogeneity. Mundo architecture [13] is an approach in Ubiquitous Computing which deals with heterogeneous devices. It classifies the devices into five groups, according to their roles. ...
Device-Agent Based Middleware Approach for Mixed Mode Environments.
Conference Paper
  • Jan 2010
In this paper we introduce a new agent-based approach for middleware in mixed mode environments. Mixed mode environments have different dimensions of heterogeneity: devices with widely differing capabilities, different soft- ware, and different communication technologies. To deal with these, each node in the network is seen as an inde- pendent entity: a device agent. These device agents are abstractions of the network nodes and they offer services corresponding to nodes' capabilities and also use services offered by other agents. Interoperability is achieved through an agent interaction interface. For the description of device types, capabilities and services a predefined but extensible ontology is used. This approach combines and adopts re- sults from the areas of multi agent systems and heteroge- neous ad hoc networks.
View
... The maximum hop count observed is 12. Deploying Information Sprinklers most users are reached with 4 hops. Starting from 3 hops, the number of hops increases slightly, extending the maximum hop count observed to 13. Different from this, connecting the Information Sprinklers to a backbone network significantly increases the number of users reached with 3,4, and 5 hops and reduces the maximal observed hop count to 9. The reason for a jump in reached users from 2 hops to 3 hops is as follows: User A i passes the information at a location loc l to an Information Sprinkler IS r (counts as 1 hop), next the information is synced to all other Information Sprinklers in the network (counts as 1 hop). ...
View
A3ME - An Agent-Based Middleware Approach for Mixed Mode Environments
Article
  • Sep 2008
In this paper we introduce a new agent-based approach for middleware in mixed mode environments. Mixed mode environments have different dimensions of heterogeneity: devices with widely differing capabilities, different software, and different communication technologies. To deal with these, each node in the network is seen as an independent entity: a device agent. These device agents are abstractions of the network nodes and they offer services corresponding to nodes' capabilities and also use services offered by other agents. Interoperability is achieved through an agent interaction interface. For the description of device types, capabilities and services a predefined but extensible ontology is used. This approach combines and adopts results from the areas of multi-agent systems and heterogeneous ad hoc networks.
View