Crude oil blending is an important unit operation in petroleum refining industry. A good model for the blending system is beneficial for supervision operation, prediction of the export petroleum quality and realizing model-based optimal control. Since the blending cannot follow the ideal mixing rule in practice, we propose a static neural network to approximate the blending properties. By the d...

This paper proposes a new approach to style, arising from our work on computational media using structural blending, which enriches the conceptual blending of cognitive linguistics with structure building operations in order to encompass syntax and narrative as well as metaphor. We have implemented both conceptual and structural blending, and conducted initial experiments with poetry, including...

UNLABELLED A treatment with differential or noncontingent reinforcement and nonremoval of the spoon increased the acceptance of one or two of 16 foods for 2 participants with severe food refusal. These differential levels of acceptance were demonstrated empirically in an ABAB design in which A was the presentation of the accepted (preferred) foods and B was the presentation of foods the partici...

This chapter proposes a new approach to style, arising from our work on computational media using structural blending, which enriches the conceptual blending of cognitive linguistics with structure building operations in order to encompass syntax and narrative as well as metaphor. We have implemented both conceptual and structural blending, and conducted initial experiments with poetry, includi...

Crude oil blending is an important unit operation in petroleum refining industry. A good model for the blending system is beneficial for supervision operation, prediction of the export petroleum quality and realizing model-based optimal control. Since the blending cannot follow the ideal mixing rule in practice, we propose a static neural network to approximate the blending properties. By the d...

Crude oil blending is an important unit operation in petroleum re…ning industry. A good model for the blending system is bene…cial for supervision operation, prediction of the export petroleum quality and realizing model-based optimal control. Since the blending cannot follow the ideal mixing rule in practice, we propose a static neural network to approximate the blending properties. By input-t...

Blending sharp edges in solid models is an important task of Computeraided design. The prominent algorithms for producing blending fillet surfaces relay mostly on the rolling-ball method. These algorithms are applied on B-Rep solid models that are used in many CAD/CAM systems. Such solid models allow for a hierarchical approach of modeling which can incorporate blending operations within its st...

We compared two edge-blending methods for multiprojection displays, elliptic and rectangular blending, by simulating three common situations: (1) an inaccurately estimated calibration parameter, (2) a worn projector lamp, and (3) a shifted viewpoint. We used a twolevel-of-detail display including a high-gain rear-projection screen in the simulation to demonstrate an extreme case. The comparison...

Executive summary Task 3.2 is concerned with the development of computational methods for concept blending and their implementation in a Concept Generator prototype. In this deliverable, we present a review of existing computational approaches to conceptual blending used in the development of creative systems. Besides providing an overview of state-of-the-art methods, this study aims (a) to emp...