in the case of hazardous materials management, selected routes for carrying hazardous materials (i.e.,hazmat) have significant effects on locating hazmat distribution centers. since, risk and cost are usuallyconsidered as two main attributes to determine the best routes, optimized locations are sequentially outlineddepending on selected routes. in the present paper, two different approaches of ...

In the case of hazardous materials management, selected routes for carrying hazardous materials (i.e., hazmat) have significant effects on locating hazmat distribution centers. Since, risk and cost are usually considered as two main attributes to determine the best routes, optimized locations are sequentially outlined depending on selected routes. In the present paper, t...

Entorhinal cortex is implicated in coding the location of spatial cues: a new study has found that distinct regions of entorhinal cortex respond differentially to distal versus local cues when these cues are rotated in conflict with one another.

In this paper the conjugate gradient (CG) method is employed for identifying the parameters of crack in a functionally graded beam from natural frequency measurement. The crack is modeled as a massless rotational spring with sectional flexibility. By using the Euler-Bernoulli beam theory on two separate beams respectively and applying the compatibility requirements of the crack, the characteris...

When processing and storage are obtained as internet services, the actual location of the providing facility is undetermined. Factors like a robust and cheap power supply, cooling-relevant climate conditions as well as legal and risk-related considerations are important for selecting a facility’s site. As storage and processing facilities feature different economies of scale and location, their...

One of the important challenges in Graphical models is the problem of dealing with the uncertainties in the problem. Among graphical networks, fuzzy cognitive map is only capable of modeling fuzzy uncertainty and the Bayesian network is only capable of modeling probabilistic uncertainty. In many real issues, we are faced with both fuzzy and probabilistic uncertainties. In these cases, the propo...