Brain is an organ that controls activities of all the parts of the body. Recognition of automated brain tumor in Magnetic resonance imaging (MRI) is a difficult task due to complexity of size and location variability. This automatic method detects all the type of cancer present in the body. Previous methods for tumor are time consuming and less accurate. In the present work, statistical analysi...

Convex hull of some given points is the intersection of all convex sets containing them. It is used as primary structure in many other problems in computational geometry and other areas like image processing, model identification, geographical data systems, and triangular computation of a set of points and so on. Computing the convex hull of a set of point is one of the most fundamental and imp...

We present a computational model of multiple object tracking that makes trial-level predictions about the allocation of visual attention and the resulting performance. This model follows the intuition of allocated resources modulating spatial resolution, but it implements it in a specific way that leads to accurate predictions in multiple task manipulations. Experiments on human subjects, guide...

Data Grid is an infrastructure that controls huge amount of data files, and provides intensive computational resources across geographically distributed collaboration. The heterogeneity and geographic dispersion of grid resources and applications place some complex problems such as job scheduling. Most existing scheduling algorithms in Grids only focus on one kind of Grid jobs which can be data...

Predicting the properties of materials like concrete has been proven a difficult task given the complex interactions among its components. Over the years, researchers have used Statistics, Machine Learning, and Evolutionary Computation to build models in an attempt to accurately predict such properties. Highquality models are often non-linear, justifying the study of nonlinear regression tools....

This paper studies decentralized event-triggering in networked control systems (NCSs), where all communication/computation tasks are executed asynchronously. A decentralized event-triggering scheme is proposed under this framework. We show that if the weighted sum of all minimal task periods and all types of delays is bounded, the resulting NCS is asymptotically stable. This condition suggests ...

in a logistic system, decisions on location of depot, vehicle routing and assignment of routes to vehicles should be considered simultaneously. the location-routing problems are defined to find the optimal number and locations of depots, and at the same time with the distribution routes for the vehicles. because of the complexity and the time consuming computation, this problem belongs to a cla...

– The preliminary design space exploration for large, interdisciplinary engineering problems is often a difficult and time-consuming task. General techniques are needed that efficiently and methodically search the design space. This work focuses on the use of parallel load balancing techniques integrated with a global optimizer to reduce the computational time of the design space exploration. T...

   In cross docking strategy, arrived products are immediately classified, sorted and organized with respect to their destination. Among all the problems related to this strategy, the vehicle routing problem (VRP) is very important and of special attention in modern technology. This paper addresses the particular type of VRP, called VRPCDTW, considering a time limitation for each customer/retai...

Many applications are today implemented by chains of tasks (called transactions) that require to execute on several computational nodes. When more than one task are allocated on the same node, it is necessary to assign properly the available computational resource to each task. In this paper we show that the rule of thumb of assigning an amount of resource proportional to the task computation t...