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Developing Autonomic Properties for Distributed Pattern-Recognition Systems with ASSL: A Distributed MARF Case Study

Title:

Developing Autonomic Properties for Distributed Pattern-Recognition Systems with ASSL: A Distributed MARF Case Study

Vassev, Emil and Mokhov, Serguei A. (2010) Developing Autonomic Properties for Distributed Pattern-Recognition Systems with ASSL: A Distributed MARF Case Study. Transactions on Computational Science, Special Issue on Advances in Autonomic Computing: Formal Engineering Methods for Nature-Inspired Computing Systems, LNCS (7050). pp. 130-157. (In Press)

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Abstract

In this paper, we discuss our research towards developing special properties that introduce autonomic behavior in pattern-recognition systems. In our approach we use ASSL (Autonomic System Specification Language) to formally develop such properties for DMARF (Distributed Modular Audio Recognition Framework). These properties enhance DMARF with an autonomic middleware that manages the four stages of the framework's pattern-recognition pipeline. DMARF is a biologically inspired system employing pattern recognition, signal processing, and natural language processing helping us process audio, textual, or imagery data needed by a variety of scientific applications, e.g., biometric applications. In that context, the notion go autonomic DMARF (ADMARF) can be employed by autonomous and robotic systems that theoretically require less-to-none human intervention other than data collection for pattern analysis and observing the results. In this article, we explain the ASSL specification models for the autonomic properties of DMARF.

Divisions:Concordia University > Faculty of Engineering and Computer Science > Computer Science and Software Engineering
Concordia University > Research Units > Centre for Pattern Recognition and Machine Intelligence
Item Type:Article
Refereed:Yes
Authors:Vassev, Emil and Mokhov, Serguei A.
Journal or Publication:Transactions on Computational Science, Special Issue on Advances in Autonomic Computing: Formal Engineering Methods for Nature-Inspired Computing Systems
Date:2010
Projects:
  • Autonomic System Specification Language (ASSL)
  • Distributed Modular Audio Reconition Framework (DMARF)
Funders:
  • IRCSET postdoctoral fellowship grant (now termed as EMPOWER) at University College Dublin, Ireland
  • Science Foundation Ireland grant 03/CE2/I303 1 to Lero (the Irish Software Engineering Research Centre)
  • Faculty of Engineering and Computer Science of Concordia University, Montreal, Canada
Keywords:autonomic computing, formal methods, ASSL, DMARF
ID Code:36201
Deposited By:Serguei Mokhov
Deposited On:05 Jan 2012 12:15
Last Modified:05 Jan 2012 12:15
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