Recently, with the advent of diverse applications based on locations of moving objects, it has become crucial to develop efficient index schemes for spatio-temporal databases. The TPR*-tree is popularly accepted as an index structure for processing futuretime queries on such spatio-temporal databases. In the TPR*-tree, the future locations of moving objects are predicted based on the Conservati...

This paper develops an effective method for a probabilistic analysis of earthen slopes. Typically, the safety of a slope is assessed in terms of a factor of safety based on deterministic methods. However, these methods are unable to handle the uncertainties in the stability analysis. Therefore, the probabilistic approach is used for analyzing the safety of slopes, which is capable to take into ...

Abstract Most real-world optimization problems are subject to uncertainties in parameters. In many situations where the uncertainties can be estimated to a certain degree, various stochastic programming (SP) methodologies are used to identify robust plans. Despite substantial advances in SP, it is still a challenge to solve practical SP problems, partially due to the exponentially increasing nu...

Recently the camera resolution has been highly increased, and the registration between high-resolution images is computationally expensive even by using hierarchical block matching. This paper presents a novel optimized hierarchical block matching algorithm in which the computational cost is minimized for the scale factor and the number of levels in the hierarchy. The algorithm is based on a ge...

An enzymatic biotransformation process based on extracted pyruvate decarboxylase (PDC) overcomes the problem of by-product benzyl alcohol production. Seven methods of cells disruption which included application of glass beads, freezing/thawing sequence, silver nanoparticles, ultrasonication, freezing/thawing sequence with glass beads, freezing/thawing sequence with silver nanoparticles, and fre...

in this paper, a stochastic cell formation problem is studied using queuing theory framework and considering reliability. since cell formation problem is np-hard, two algorithms based on genetic and modified particle swarm optimization (mpso) algorithms are developed to solve the problem. for generating initial solutions in these algorithms, a new heuristic method is developed, which always cre...

Heretofore several position-based routing protocols have been developed for mobile ad hoc networks. Many of these protocols assume that a location service is available which provides location information on the nodes in the network.Our solutions decrease location update without loss of query success rate or throughput and even increase those.Simulation results show that our methods are effectiv...

Heretofore several position-based routing protocols have been developed for mobile ad hoc networks. Many of these protocols assume that a location service is available which provides location information on the nodes in the network.Our solutions decrease location update without loss of query success rate or throughput and even increase those.Simulation results show that our methods are effectiv...

nowadays network-on-chips is used instead of system-on-chips for better performance. this paper presents a new algorithm to find a shorter path, and shows that genetic algorithm is a potential technique for solving routing problem for mesh topology in on-chip-network.