Siamak Tavakoli

Learn More
This paper introduces a platform for online Sensitivity Analysis (SA) that is applicable in large scale real-time data acquisition (DAQ) systems. Here, we use the term real-time in the context of a system that has to respond to externally generated input stimuli within a finite and specified period. Complex industrial systems such as manufacturing,(More)
We describe our knowledge-based service architecture for multi-risk environmental decision-support, capable of handling geo-distributed heterogeneous real-time data sources. Data sources include tide gauges, buoys, seismic sensors, satellites, earthquake alerts, Web 2.0 feeds to crowd source 'unconventional' measurements and simulations of Tsunami wave(More)
This paper proposes the foundation for a flexible data input management system as a vital part of a generic solution for quick-response decision making. Lack of a comprehensive data input layer between data acquisition and processing systems has been realized and thought of. The proposed FDILA is applicable to a wide variety of volatile manufacturing(More)
This paper suggests a generic simulation platform that can be used for real-time discrete event simulation modeling. The architecture of the proposed system is based on a tested flexible input data architecture developed in Labview, a real-time inter-process communication module between the Labview application and a discrete event simulation software (in(More)
A flexible data input layer architecture (FDILA) has been designed and developed by Tavakoli et al. for providing a generic tool to transfer data from a wide series of data acquisition devices into higher levels of information processing systems. Data collected by mobile devices such as GPS and PDA applications are among important inputs for evaluating(More)
This paper introduces a new technology platform that improves the efficiency and effectiveness of simulation modelling projects. A recently developed platform that integrates data acquisition management platform (primary models) and post simulation performance analysis models (synthesis) is described. The use of real-time discrete event simulation modelers(More)
This paper introduces a new technology platform that improves the efficiency and effectiveness of simulation modelling projects. A recently developed platform that integrates data acquisition management platform (primary models) and post simulation performance analysis models (synthesis) is described. The use of real-time discrete event simulation modelers(More)
The purpose of this paper is in two folds; the first is to undertake a thorough appraisal of the existing input variable selection (IVS) methods in the context of time-critical and resource-limited dimensionality reduction problems. The second is to demonstrate further improvements and the application of a recently proposed time-critical sensitivity(More)