Computational Issues of a VDIM Based Multipurpose Modeling in Conceptual Design

2004 ◽  
Vol 4 (2) ◽  
pp. 140-149 ◽  
Author(s):  
Zolta´n Rusa´k

To be able to model industrial products in conceptual design, aspects such as function, structure, shape, behavior, sustainability and service are typically considered. Tools developed until now usually focus on individual aspects. The author proposes a new modeling approach called vague discrete interval modeling (VDIM) that integrates shape, structure and behavior modeling. The integration is achieved by the introduction of a multipurpose modeling entity called particle. VDIM offers three means for the representation of a cluster of shapes, for instances of shapes and for physically-based manipulation of shapes. Interval modeling allows representing uncertainty of shapes, which is a characteristic property in shape conceptualization. In addition, particle systems can be applied to model the mechanical behavior of the product. This constructive modeling approach makes it possible to describe the procedural model of incomplete geometries and to capture the structural relations between components. The paper reports on the computational issues related to VDIM.

1995 ◽  
pp. 205-215 ◽  
Author(s):  
Yi Wu ◽  
Daniel Thalmann ◽  
Nadia Magnenat Thalmann

2016 ◽  
Vol 24 (6) ◽  
pp. 428-445 ◽  
Author(s):  
Lynda Saifi ◽  
Abdelhak Boubetra ◽  
Farid Nouioua

A common phenomenon in everyday life is that, when a strange event occurs or is announced, a regular crowd can completely change, showing different intense emotions and sometimes uncontrollable and violent emerging behavior. These emotions and behaviors that disturb the organization of a crowd are of concern in our study, and we attempt to predict these suspicious circumstances and provide help in making the right decisions at the right time. Furthermore, most of the models that address crowd disasters belong to the physical or the cognitive approaches. They study pedestrian flow and collision avoidance, etc., and they use walking speed and angle of vision. However, in this work, based on a behavioral rules approach, we aim to model emergent emotion, behavior and influence in a crowd, taking into account particularly the personality of members of the crowd. For this purpose, we have combined the OCEAN (Openness, Consciousness, Extraversion, Agreeableness, and Neuroticism) personality model with the OCC (Ortony, Clore, and Collins) emotional model to indicate the susceptibility of each of the five personality factors to feeling every emotion. Then we proposed an approach that uses first fuzzy logic for the emotional modeling of critical emotions of members of the crowd at the announcement or the presence of unusual events, in order to quantify emotions. Then, we model the behavior and the tendency towards actions using probability theory. Finally, the influence among the members of the crowd is modeled using the neighborhood principle and cellular automata.


2014 ◽  
Author(s):  
Isaac W. Ekoto ◽  
Ethan Hecht ◽  
Christopher W. San Marchi ◽  
Katrina M. Groth ◽  
Angela Christine LaFleur ◽  
...  

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