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Showing 3 results for bahonar
Volume 10, Issue 4 (1-2011)
Abstract
The goal of facial animation is to synthesize realistic facial animated images using computer graphics. Because of its capability in creating facial animated images using a few amount of information, facial animation using feature vectors was extensively studied in recent years. In general, this method is considered as one of the performance-driven facial animation base methods. In this regard, facial feature vectors, which reflect rigid and non-rigid movements of the face, are extracted using facial analysis methods. These feature vectors are then used for transferring the facial movements to a graphical model. Our approach in this paper is merging keyframing and facial animation using feature vectors. Using this method, the amount of the submitted information is decreased to about 30%; while the synthesized sequences have 4.95% mean squared error and 0.000629 difference of correlation relative to input sequences. This error is negligible compared to the error of synthesized sequences without using interpolation.
Hamid Zare, Fatemeh bahonar,
Volume 14, Issue 1 (6-2024)
Abstract
Muda is essentially the antithesis of productivity, referring to anything that causes organizational resource wastage. Organizational resource wastage not only leads to inefficiencies within organizations but also imposes additional burdens and hinders organizational efforts towards productivity. The aim of this research has been to take a step towards reducing waste and resource loss by identifying and categorizing organizational muda. To achieve this, the meta-synthesis method was employed. The initial sample consisted of 90 relevant studies extracted from databases such as Emerald, Elsevier, sciencDirect, Springer, and Wiley. After screening the studies for various criteria including title, abstract, content, and quality, 26 studies remained, the results of which were synthesized. The outcome of this process yielded 65 components of organizational muda, categorized into four groups: individual, organizational, managerial, and occupational factors. Therefore, this study provides a classified understanding of organizational muda for managers to effectively manage these wasteful factors and enhance the productivity of their organizations.
Volume 17, Issue 10 (1-2018)
Abstract
Partial differential equations are needed in most of the engineering fields. Analytical solutions to these equations cannot be derived except in some very special cases, making numerical methods more important. Alongside advances in science and technology, new methods have been proposed for solution of partial differential equations, such as meshless methods. Recently, the generalized exponential basis function (GEBF) meshless method has been introduced. In this method the unknown function is approximated as a linear combination of exponential basis functions. In linear problems, the unknown coefficients are calculated such that the homogenous form of main differential equation is satisfied in all points of the grid. In order to solve nonlinear equations, Newton-Kantorovich scheme is first used to linearize them. The linearized equations are then solved iteratively to obtain the result. In this paper, time dependent problems in solid mechanics have been investigated. In order to examine performance of the proposed method, linear and non-linear problems in solid mechanics are considered and the results are compared with analytical solutions. The results show good accuracy (less than 1 percentage error) of the presented method.
