Search results for: KONTENERYZACJA, DOCKER, SWARM, KUBERNETES, GITLAB, CQRS, MESH - Bridge of Knowledge

Search

Search results for: KONTENERYZACJA, DOCKER, SWARM, KUBERNETES, GITLAB, CQRS, MESH
Przykład wyników znalezionych w innych katalogach

Search results for: KONTENERYZACJA, DOCKER, SWARM, KUBERNETES, GITLAB, CQRS, MESH

  • Exhaust Emission from Passenger Cars During Engine Cold Start and Warm-Up

    Publication

    - Year 1997

    Full text to download in external service

  • Swarm Intelligence

    Journals

    ISSN: 1935-3812 , eISSN: 1935-3820

  • KYBERNETES

    Journals

    ISSN: 0368-492X , eISSN: 1758-7883

  • A Nonlinear Model of a Mesh Shell

    Publication

    For a certain class of elastic lattice shells experiencing finite deformations, a continual model using the equations of the so-called six-parameter shell theory has been proposed. Within this model, the kinematics of the shell is described using six kinematically independent scalar degrees of freedom — the field of displacements and turns, as in the case of the Cosserat continuum, which gives reason to call the model under consideration...

    Full text available to download

  • Swarm Algorithms in Modern Engineering Optimization Problems

    Publication

    Complexity of today engineering problems is constantly increasing. Scientists no longer are facing issues, for which simple, mathematical programming methods are sufficient. Issues like autonomic vehicle navigation or classification are considered to be challenging, and although there exist valid means to solve them, in some cases there still is some place for improvement. With emergence of a new type of optimization techniques...

    Full text to download in external service

  • Modal parameters identification with Particle Swarm Optimization

    Publication

    The paper presents method of the modal parameters identification based on the Particle Swarm Optimization (PSO) algorithm [1]. The basic PSO algorithm is modified in order to achieve fast convergence and low estimation error of identified parameters values. The procedure of identification as well as algorithm modifications are presented and some simple examples for the SISO systems are provided. Results are compared with the results...

    Full text to download in external service

  • Swarm-Assisted Investment Planning of a Bioethanol Plant

    Publication

    Bioethanol is a liquid fuel for which a significant increase in the share of energy sources has been observed in the economies of many countries. The most significant factor in popularizing bioethanol is the profitability of investments in construction of facilities producing this energy source, as well as the profitability of its supply chain. With the market filled with a large amount of equipment used in the bioethanol production...

    Full text available to download

  • Estimation of structural stiffness with the use of Particle Swarm Optimization

    The paper presents the theoretical background and four applications examples of the new method for the estimation of support stiffness coefficients of complex structures modelled discretely (e.g. with the use of the Finite Element Model (FEM) method based on the modified Particle Swarm Optimization (PSO) algorithm. In real-life cases, exact values of the supports’ stiffness coefficients may change for various reasons...

    Full text available to download

  • Optimization of quadrilateral mesh for ship hull modelling

    Publication

    Artykuł przedstawia metodę poprawy jakości czworokątnej siatki elementów skończonych, które najlepiej nadają się do modelowania kadłuba statku dla potrzeb analizy MES. W metodzie zakłada się poprawną topologię siatki i stosuje gradient funkcji celu do poszukiwania optymalnego rozwiązania. Funkcja celu może być dowolną funkcją, opisująca jakość elementu (metryka), odpowiednią dla wymagań metody elementów skończonych. W artykule...

    Full text available to download

  • Spectrum-based modal parameters identification with Particle Swarm Optimization

    Publication

    - MECHATRONICS - Year 2016

    The paper presents the new method of the natural frequencies and damping identification based on the Artificial Intelligence (AI) Particle Swarm Optimization (PSO) algorithm. The identification is performed in the frequency domain. The algorithm performs two PSO-based steps and introduces some modifications in order to achieve quick convergence and low estimation error of the identified parameters’ values for multi-mode systems....

    Full text to download in external service