This paper designs a mathematical model for supply chain network design problem including plants, distributors and customers in fuzzy environment. Each plant and distributor has several levels capacities. A multi-mode demand strategy is considered for the customers where only one of the modes is to be selected for each customer. Considering the acceptance degree of fuzzy constraints violated, a...

In 1986, Tanner and Mead [1] implemented an interesting constraint satisfaction circuit for global motion sensing in aVLSI. We report here a new and improved aVLSI implementation that provides smooth optical flow as well as global motion in a two dimensional visual field. The computation of optical flow is an ill-posed problem, which expresses itself as the aperture problem. However, the optica...

planning for urban density is one of the most important problems facing contemporary urban planning at both national and universal. urbanized world - that is changing permanently - needs an optimum extent of urban density which can consider both quantitative (efficient use of land and urban infrastructures, reducing energy consumption, etc.) and qualitative requirements (such as providing desir...

UCTTP is a NP-hard problem, which must be performed for each semester frequently. The major technique in the presented approach would be analyzing data to resolve uncertainties of lecturers’ preferences and constraints within a department in order to obtain a ranking for each lecturer based on their requirements within a department where it is attempted to increase their satisfaction and develo...

This work addresses the problem of relaxing spatial constraints for pictorial queries having null answers in geographical databases. It focuses on the polygon-polyline topological relationship and proposes a computational model which is based on the notions of Operator Conceptual Neighborhood (OCN) graph and the relative 16-intersection matrix. The former is addressed to represent the conceptua...

In this paper Ransac algorithm is used to detect the motion is happened or not and this is by finding out the matching features between the two images. And then finding out the motion using optical flow algorithm. A common problem of optical flow judgment is fine motion structures cannot always be correctly estimated, especially for regions with significant and abrupt displacement variation. To...