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The paper presents an approach to design an intelligent information support system to be used as a human-operator assistant to control large complex industrial plants.
Tasks and structure of such an intelligent information support system (IISS), IISS design stages, methodology of IISS design, toolkits for IISS design are considered.
Within such a problem, a natural way out is to design an intelligent information support system (IISS) which would be able to assist the human-operator to implement the complex industrial plant control functions.
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To evade forensic investigation, intelligent information hiding techniques that support plausible deniability have been proposed as an alternative to encryption; plausible deniability allows an evader to hide data in a manner such that he/she can deny the very existence of the data.
With a novel hybrid-learning scheme involving structural and parametric optimization, we demonstrate how fuzzy neural networks are well suited in forming the adaptive logic-processing core of this platform, supporting intelligent information processing.
At the same time, this paper proposes an architecture design, including vehicle components, OBU (On-Board Unit) devices and roadside device components (Roadside Unit) with hybrid architecture, which is intended to establish intelligent diversified road services to provide information support and applications.
While existing tools facilitate and support such collaborative efforts (e.g., Dropbox, Google Docs), these tools lack intelligent information sharing mechanisms.
The Calais initiative supports the interoperability of content and advances Thomson Reuters mission to deliver intelligent information.
Intelligent information systems.
"We know enough intelligent semantics to guide intelligent information systems.
The event diagrams are useful for intelligent information system design.
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