Title:	INTELLIGENT SENSING NETWORKS FOR MONITORING AND STABILIZING THE ENVIRONMENT
Author(s):	Syed V. Ahamed
ISBN:	972-98947-3-6
Editors:	Nuno Guimarães and Pedro Isaías
Year:	2004
Edition:	Single
Keywords:	Telemetering, Intelligent Networks, Monitoring Circuits, Pattern Recognition, Control and Adaptation .
Type:	Full Paper
First Page:	1492
Last Page:	1498
Language:	English
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Paper Abstract:	In this paper, we present a generic methodology for networks to sense, process the data scanned and thus monitor environments in which they exist. They are generic to the extent that they can be deployed for any application in which the underlying processes needs to be controlled for correctness and/or optimality. Scanning devices routinely sense the parameters that influence the correctness and/or optimality of results. Lexical analyzers in turn identify the objects whose parameters are being scanned. Pattern recognition (PR) programs recognize the entire scenario, from which the objects are drawn. Then the objects and processes are analyzed by a multiplicity of techniques encoded as Object Oriented Programs (OOP) to evaluate the optimality of the objects, blending of the objects, in context of that particular scenario that has been recognized and the underlying processes that are occurring within that scenario. Embedded models are invoked to check and monitor the overall efficacy in pursuing the objective functions. Adjustments and corrections are introduced through the network to ascertain the global optimality in realizing the objective function. Learning the behavior of the objects, their response to the OOP and the successful negotiation with the objects gives rise to the novel concept of “predictive programming” We assert that the approach is general enough to be used for any application that has a scientific and numerical rationale. We also disclose a methodology that unifies the aforementioned AI techniques within the Intelligent Network framework. Every minute or micro-step can be programmed in the network for every application by using the Intelligent Network Conceptual Model (INCM evolved by the Europe based International Telecommunications Union). This provides new dimensions of control and usage for the network much like the deployment of the new intelligent networks. New applications can thus be invoked like new network service within a few minutes. We also propose that the generic architecture of any basic switching system be deployed with one additional “knowledge module” for Intelligent Object Processing. Such intelligent objects (scanned and sensed within the environment) are the main players driving our society and are composed of numerous socio-economic variables such as the GNP, consumption, taxation, gross economic activity, the velocity of money, the interest rate, the employment level, educational level, etc. These variables are documented in econometric models for the economies of nations.
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