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Name
COMPUTING AND INFORMATICS
Type
Journal
Items
956 Publications
Compatibility
OpenAIRE Basic (DRIVER OA)
OAI-PMH
http://www.cai.sk/ojs/index.php/cai/oai

 

  • Depth First Search and Location Based Localized Routing and QoS Routing in Wireless Networks

    In a localized routing algorithm, node A currently holding the message forwards it based on the location of itself, its neighboring nodes and destination. We propose to use depth first search (DFS) method for routing decisions. Each node A, upon receiving the message for the first time, sorts all its neighbors according to a criterion, such as their distance to destination, and uses that order in DFS algorithm. It is the first localized algorithm that guarantees delivery for (connected) wirel...

    Average Degree in the Interval Graph of a Random Boolean Function

    We consider an n-ary random Boolean function f such that for and study its geometric model, the so called interval graph. The interval graph of a Boolean function was introduced by Sapozhenko and has been used in construction of schemes realizing Boolean functions. Using this model, we estimate the number of maximal intervals intersecting a given maximal interval of a random Boolean function and prove that the asymptotic bound on the logarithm of the number is , where ?(n) ? 0 as .

    Genetic Algorithm Approach for Solving the Machine-Job Assignment with Controllable Processing Times

    This paper considers a genetic algorithm (GA) for a machine-job assignment with controllable processing times (MJACPT). Integer representation with standard genetic operators is used. In an objective function, a job assignment is obtained from genetic code and for this, fixed assignment processing times are calculated by solving a constrained nonlinear convex optimization problem. Additionally, the job assignment of each individual is improved by local search. Computational results are presen...

    An Efficient Visual Analysis Method for Cluster Tendency Evaluation, Data Partitioning and Internal Cluster Validation

    Visual methods have been extensively studied and performed in cluster data analysis. Given a pairwise dissimilarity matrix D of a set of n objects, visual methods such as Enhanced-Visual Assessment Tendency (E-VAT) algorithm generally represent D as an n times n image I( overlineD) where the objects are reordered to expose the hidden cluster structure as dark blocks along the diagonal of the image. A major constraint of such methods is their lack of ability to highlight cluster structure when...

    Exdasy - a user friendly and extendable data distribution system

    This paper introduces Exdasy - a user friendly and extendable software tool for partitioning unstructured meshes and mapping mesh partitions to parallel computers. Exdasy was designed to meet the increasing demands to today's  data distribution systems, which are posed by the variety of mesh computations, the ongoing development of distribution algorithms, and rapid changes in parallel hardware technology. For this, Exdasy offers third-party state-of-the-art distribution algorithms augme...
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