Most of existing navigation systems for the blind require a precise GPS maps. This makes them unusable in regions where there are no GPS maps, or they are not sufficiently accurate. Algorithm for GPS navigation for the visually impaired along a GPS ...

Protein secondary structure comparison combined with an alignment of backbone dihedral angles is proposed as an approach for protein structure similarity detection. The biological background of the method is presented. Rules for construction of the ...

The GRID infrastructure provides an aggregation of a wide variety of distributed resources for solving large-scale data intensive problems in various fields. The aim of this paper is to propose a method for grid resource management based on lottery ...

Bioniformatics is area, demanding knowledge and skills for acquisition, storing, management, analysis, interpretation and dissemination of biological information. This scientific area requires powerful computing resources for exploring large sets of ...

The paper presents parallel computational models of Smith-Waterman algorithm for CPU and GPU. An investigation is made of the performance parameters of computing similarity indexes between query sequences and a reference sequence using the suggested ...

The paper proposes and compares two parallel algorithms for GPU simulation of a mass-spring cloth model and image based collision detection and response approach. The algorithms are implemented using three different APIs for GPU programming: OpenGL plus ...

Evolutionary Computation (EC) is a recent and lively area of study. Some of the recent approaches within EC are particle Swarm Optimisation (PSO) and Differential Evolution (DE), while one of the latest to be developed is Firefly Algorithm (FA): all of ...

In this paper an approach is proposed for associating priorities to the data according to their actuality and using of local neural network forecasting method. For this purpose modified learning rules are derived that lead to shifting of the prototype ...

In this paper, we propose a method that, in contrast to traditional classification methods based on Hyper Surface Classification (HSC), uses two - one inner and one outer - classification hyper-surfaces (CHS). The outer CHS includes the inner CHS ...

The paper is dedicated to OWL ontology derivation from concept maps (CMs) which have been created using the intelligent knowledge assessment system (IKAS). Usage of IKAS allows capturing quite a lot of CMs of different topics covered in several study ...

This paper suggest a model of parallel computation based on Bacteria Foraging metaheuristics for Job Shop Scheduling optimization problem. The parallel model is verified experimentally by Hybrid (MPI + OpenMP) programming implementations, run on ...

An interactive evolutionary algorithm is presented in the paper, designed to solve integer multi-objective convex integer optimization problems. The algorithm is population-based. A heuristic procedure is used to accelerate the search process, so that ...