Kyarash Shahriari

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Spatial information for coastal risk assessment is inherently uncertain. This uncertainty may be due to different spatial and temporal components of geospatial data and to their semantics. The spatial uncertainty can be expressed either quantitatively or qualitatively. Spatial uncertainty in coastal risk assessment itself arises from poor spatial(More)
A strategy is proposed to model the complex industrial systems using linear time-varying system (LT V S). The proposed methodology is independent of model structure and the model may take any classic linear structure such as finite impulse response, input-output relation structures etc. To take into account the error between system and model due to model(More)
The objective of this work is to scrutinize the impact of wood chips properties (WCP) variation on process variability in a thermo-mechanical pulping process in pulp and paper industry. The starting hypothesis states that by reducing WCP variation, process variability is mitigated that results in energy efficiency and product quality enhancements. Process(More)
In this paper, the correlation between process variability attenuation and efficiency enhancement in industrial processes is studied. The starting hypothesis of this work states that process variability attenuation brings about efficiency enhancements in both energy and productivity aspects. To test the hypothesis, a multi-variable statistical approach(More)
— A strategy is proposed to model the complex industrial systems using linear time-varying system (LT V S). The proposed methodology is independent of model structure and the model may take any classic linear structure such as finite impulse response, input-output relation structures etc. To take into account the error between system and model due to model(More)
In this paper, a method is proposed to predict n-step response of linear time-varying systems (LTVS). To take into account the modeling error in set-membership approach, adjustable parameters are characterized by intervals. To increase modeling precision, piecewise parameters are used and the validity domain of any set of parameters is determined in(More)
Wood chips properties variation is known as a source to provoke variability in thermo-mechamical pulping processes. This mainly includes density, moisture content and brightness of the chips as the raw materials that result in consuming more refining energy and bleaching agent as well as degrading product quality. To date, no concrete control strategy has(More)
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