Ray Casting is a direct volume rendering technique for visualizing 3D arrays of sampled data. It has vital applications in medical and biological imaging. Nevertheless, it is inherently open to cluttered classification results. It suffers from overlapping transfer function values and lacks a sufficiently powerful voxel parsing mechanism for object distinction. In this work, we are proposing an ...

this article presents a unified approach to the abstract notions of partial convolution and involution in $l^p$-function spaces over semi-direct product of locally compact groups. let $h$ and $k$ be locally compact groups and $tau:hto aut(k)$ be a continuous homomorphism.  let $g_tau=hltimes_tau k$ be the semi-direct product of $h$ and $k$ with respect to $tau$. we define left and right $tau$-c...

migration of virtual machine (vm) is a critical challenge in cloud computing. the process to move vms or applications from one physical machine (pm) to another is known as vm migration. in vm migration several issues should be considered. one of the major issues in vm migration problem is selecting an appropriate pm as a destination for a migrating vm. to face this issue, several approaches are...

Finite model reasoning in expressive DLs such as ALCQI and SHIQ requires non-trivial algorithmic approaches that are substantially differerent from algorithms used for reasoning about unrestricted models. In contrast, finite model reasoning in the inexpressive fragment DL-LiteF of ALCQI and SHIQ is algorithmically rather simple: using a TBox completion procedure that reverses certain terminolog...

le mouvement transversal de la locomotive ou des wagons , appele ie lacet, provient de deux causes principales: -la conicite des bandages -les irregularites de la voie dans ie plan horizontal. on se propose ici d'etudier la premiere cause , ce qui nous conduit a une equation differentielle non lineaire du deuxieme ordre. • l'equation en question est etudiee dans plusieurs cas difftten...

in exploration seismology, migration refers to a multi-channel processing step that attempts to spatially re-position events and improve focusing. before migration, seismic data is usually displayed with traces plotted at the surface location of the receivers and with a vertical time axis. this means that dipping reflections are systematically mispositioned in the lateral coordinate and the ver...

Identifying clusters or clustering is an important aspect of data analysis. It is the task of grouping a set of objects in such a way those objects in the same group/cluster are more similar in some sense or another. It is a main task of exploratory data mining, and a common technique for statistical data analysis This paper proposed an improved version of K-Means algorithm, namely Persistent K...

We introduce a feature structure, corresponding to a timespan tree based on ‘A Generative Theory of Tonal Music’ (GTTM) for a music piece, and represent the reduction of the tree by the subsumption among these feature structures. As the collection of them forms a lattice, we can define the join and meet operations. We show a melodic morphing algorithm based on these simple operations.

Biogeography-Based Optimization (BBO) algorithm has recently been of great interest to researchers for simplicity of implementation, efficiency, and the low number of parameters. The BBO Algorithm in optimization problems is one of the new algorithms which have been developed based on the biogeography concept. This algorithm uses the idea of animal migration to find suitable habitats for solvin...