This paper shows that, for any given T-spline, the linear independence of its blending functions can be determined by computing the nullity of the T-spline-to-NURBS transform matrix. The paper analyzes the class of Tsplines for which no perpendicular T-node extensions intersect, and shows that the blending functions for any such T-spline are linearly independent.

The main subject of this paper is to describe an experiment of blending two domains using our previous work, Blender (Pereira and Cardoso, 2001), a computational attempt to model Fauconnier and Turner’s (98) Conceptual Blending. In this experiment, we visualize the resulting instances using a logo-like language, allowing us to produce visual blends. We discuss the results and suggest further im...

In this paper, we describe results from a preliminary effort to better understand issues of attribution that arise from the application of knowledge-based systems to the blending of structured querying and document retrieval over disparate (heterogeneous, distributed) information sources. The term multimodal integration is introduced to refer to such a blending of structured querying and docume...

Monitoring the dynamics of surface water using remotely sensed data generally requires both high spatial and high temporal resolutions. One effective and popular approach for achieving this is image fusion. This study adopts a widely accepted fusion model, the Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM), for blending the newly available coarse-resolution Suomi NPP-...

In this paper, we propose an interactive motion synthesis technique that synthesizes a continuous motion sequence from given elementary motions. A user can either specify the execution timings of motions, or execute motions in a sequence with automatically determined execution timings. Our method is based on a previous approach that determined the appropriate synthesis method and blending range...

Conceptual integration—"blending"—is a general cognitive operation on a par with analogy, recursion, mental modeling, conceptual categorization, and framing. It serves a variety of cognitive purposes. It is dynamic, supple, and active in the moment of thinking. It yields products that frequently become entrenched in conceptual structure and grammar, and it often performs new work on its previou...

Conceptual blending (CB) is a basic mental operation that plays a fundamental role in the construction of meaning in our everyday life. The core of CB is the partial matching of two input mental spaces and the selective projection from those inputs into a novel ‘blended’ mental space, which then dynamically develops an emergent structure. Improvisational acting is one specialized domain in whic...

and ECA coal analysers have been used to control sorting and blending operations at coal mines, power plants and coal terminals. In sorting operations, the analyser results are used to sort coal into piles, bins or silos based on the measured quality. Coals can be sorted by the ash, sulphur, moisture, heating value, or by combinations of these. Sorting can be used to allow low-ash coals to bypa...

Visualization is a powerful way to convey data, showing a great potential for joining and interrelating different data items. Nevertheless, when dealing with large amounts of data, visually merging different classes of information poses several challenges. Color, however, due to its effectiveness for labeling and categorizing information, may be a solution to this shortcoming. Merging items wit...

Conceptual blending is a cognitive theory whereby elements from diverse, but structurally-related, mental spaces are ‘blended’ giving rise to new conceptual spaces. This study focuses on structural blending utilising an algorithmic formalisation for conceptual blending applied to harmonic concepts. More specifically, it investigates the ability of the system to produce meaningful blends between...