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Applied Computer Science Volume 9, Number 1, 2013

AUTOMATION OF ROOF AREA CALCULATION PROCESS

The paper presents approach that allows to automate roof area calculation process as well as other accompanying actions. These actions include: figure recognition, calculation of necessary dimensions, recognition of connections between roof surfaces, visualization of the roof in three-dimensional space and calculation of the roof area based on processed data. The aim of proposed approach is to automate as much actions as it is possible to reduce calculation errors and moreover increase the efficiency of whole process. Presented idea has been implemented and then tested for accuracy of calculations and capabilities. Performed tests showed that presented method is flexible and gives relatively small error in case of roof area calculation.

GENETIC-BASED APPROACH TO THE FUNCTIONAL-MODULAR STRUCTURE DESIGN OF PACKAGING MACHINES

The paper presents a method for decomposition of packaging machine structure in order to provide the designer with choices for feasible assemblies. The aim is at providing a systematic approach to explore a large number of decompositions prior to the detailed component design phase. The structure is transformed to a graph with equivalent topology by a genetic algorithm.

MODULAR TRAINING SYSTEM IN VIRTUAL REALITY ENVIRONMENT - MSEVR

MSEVR is a system created for teaching of automated and robotic systems by means of new advanced teaching aids, including virtual reality. One of its constituents is also virtual laboratory that has been created as a specialized website. The presented paper acquaints with structure and performance of the virtual laboratory created by a work team at KVTaR SjF TU at Košice. It is a laboratory that is segmented to a set of independent robots for learning basics of industrial robots and Modular system for experimentation in virtual reality. The Modular system has been designed for work with bigger, easily configurable workplaces.

THE USE OF SIMULATION AND GENETIC ALGORITHM WITH DIFFERENT GENETIC OPERATORS TO OPTIMIZE MANUFACTURING SYSTEM

The article depicts an evolutionary approach to simulation based optimization of a typical manufacturing system. Genetic algorithm with four different variants of genetic operators (crossover operator and type of selection) is compared to find the best optimization method. A comprehensive discussion of the genetic algorithm results obtained from the simulation model was also presented.

INFORMATION ASPECTS OF OPTIMIZATION SYNTHESIS OF FUNCTIONAL-MODULAR STRUCTURE OF TECHNOLOGICAL EQUIPMENT

The paper presents the information approach to the design of equipment with functional-modular structure. The advantages and drawbacks of various technologies of synthesis are shown.

FUZZY PROJECT SCHEDULING USING CONSTRAINT PROGRAMMING

The paper aims to present an application of constraint programming techniques for project portfolio scheduling taking into account the imprecision in activity duration and cost. Data specification in the form of discrete a-cuts allows combining distinct and imprecise data, and implementing a constraint satisfaction problem with the use of constraint programming. Moreover using a-cuts, optimistic, pessimistic, and several intermediate scenarios concerning the project scheduling and cash flows can be obtained and considered in terms of different risk levels.