An AI-ESTATE conformant interface for net-centric diagnostic and prognostic reasoning

Abstract

IEEE Std 1232-2010 Standard for Artificial Intelligence Exchange and Service Tie to All Test Environments (AI-ESTATE) provides a standardized approach to modeling and control of a data-driven diagnostic and prognostic reasoning environment. This work continues a previous effort to build wider acceptance and extension of this standard through development of the SAPPHIRE TM tool. Previously, SAPPHIRE TM was extended to contain a complete implementation of all required Reasoner Manipulation Services listed by the AI-ESTATE standard. In this paper, we report the results of abstracting this services API, allowing the tool to be run as distinct client and server processes that may communicate over a networked connection. We describe the architecture underlying this client-server interface and the XML protocol constructed to facilitate communication between the client and server.

Neurocontrolled Car Speed System

“…These possibilities come up during the design, simulation, and testing processes [13][14][15][16] as well as in the ordinary exploitation period of a concrete product [17][18][19][20][21][22][23]. Controllers that use neural network systems achieve an effective speed control in both electric and traditional cars [24][25][26][27][28][29][30].…”