17 research outputs found
New techniques for enhanced medial axis based decompositions in 2-D
AbstractNew techniques are presented for using the medial axis to generate high quality decompositions for generating block-structured meshes with well-placed mesh singularities away from the surface boundaries. Established medial axis based meshing algorithms are highly effective for some geometries, but in general, they do not produce the most favourable decompositions, particularly when there are geometry concavities. This new approach uses both the topological and geometric information in the medial axis to establish a valid and effective arrangement of mesh singularities for any 2-D surface. It deals with concavities effectively and finds solutions that are most appropriate to the geometric shapes. Methods for directly constructing the corresponding decompositions are also put forward
Common Themes in Multi-block Structured Quad/Hex Mesh Generation
AbstractThe automatic generation of structured multi-block quadrilateral (quad) and hexahedral (hex) meshes has been researched for many years without definitive success. The core problem in quad / hex mesh generation is the placement of mesh singularities to give the desired mesh orientation and distribution [1]. It is argued herein that existing approaches (medial axis, paving / plastering, cross / frame fields) are actually alternative views of the same concept. Using the information provided by the different approaches provides additional insight into the problem
Rationale behind socially influencing design choices for health behavior change
Abstract
Persuasive technologies for health behavior change often include social influence features. Social influence in the design of persuasive technology has been described as a black box. This case study sheds light on design practices by identifying factors that affect the design of social influence features in health behavior change applications and the designers’ understanding of the social influence aspects. Our findings are twofold: First, the two most positively inclined social influence features, namely cooperation and normative influence, were missing from the reviewed applications. Second, the medical condition — the persuasive technology targets — has a major influence on consideration and integration of social influence features in health behavior change applications. Our findings should be taken into account when frameworks and guidelines are created for the design of social influence features in health behavior change applications