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    Wyświetlanie 1-4 z 4
    Tytuł:
    Selection of Wavelet Video Codec Parameters to Optimize Coding Time
    Autorzy:
    Popławski, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/226134.pdf
    Data publikacji:
    2013
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    optimization
    wavelet video coding
    scalability
    Opis:
    In the paper, results of experimental research on wavelet video codec are presented. The author has put emphasis on the optimal selection of the coder parameters to optimize the coding time. The author has used six test sequences (Basket, City, Crew, Harbour, Ice and Soccer in 352x288, 30 fps) for the experiments. The sequences used in the research are commonly used to assess the effectiveness of video sequence compression. The measurement of the image quality is based on the PSNR. The results of optimal selection of wavelet video codec parameters due to the coding time are presented. The main goal of the paper is to show the coder parameters that provide the best values of the PSNR for a reduced coding time.
    Źródło:
    International Journal of Electronics and Telecommunications; 2013, 59, 4; 341-349
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Parallel Computation Approaches to Optimize Learning Systems
    Autorzy:
    Czyż, T.
    Rudek, R.
    Selvaraj, H.
    Powiązania:
    https://bibliotekanauki.pl/articles/226487.pdf
    Data publikacji:
    2011
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    parallel computation
    metaheuristic
    scheduling
    learning
    Opis:
    This paper is devoted to the total tardiness minimization scheduling problem, where the efficiency of a processor increases due to its learning. Such problems model real-life settings that occur in the presence of a human learning (industry, manufacturing, management) and in some computer systems. However, the increasing growth of significant achievements in the field of artificial intelligence and machine learning is a premise that the human-like learning will be present in mechanized industrial processes that are controlled or performed by machines as well as in the greater number of multi-agent computer systems. Therefore, the optimization algorithms dedicated in this paper for scheduling problems with learning are not only the answer for present day scheduling problems (where human plays important role), but they are also a step forward to the improvement of self-learning and adapting systems that undeniably will occur in a new future. To solve the analysed problem, we propose parallel computation approaches that are based on NEH, tabu search and simulated annealing algorithms. The numerical analysis confirm high accuracy of these methods and show that the presented approaches significantly decrease running times of simulated annealing and tabu search and also reduce the running times of NEH.
    Źródło:
    International Journal of Electronics and Telecommunications; 2011, 57, 2; 223-228
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The Use of Heuristic Algorithms to Optimize the Transport Issues on the Example of Municipal Services Companies
    Autorzy:
    Izdebski, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/223579.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    municipal services companies
    transport
    optimization
    genetic algorithm
    ant algorithm
    usługi komunalne
    optymalizacja
    algorytm genetyczny
    Opis:
    In this article the main optimization problems in the municipal services companies were presented. These problems concern the issue of vehicle routing. The mathematical models of these problems were described. The function of criterion and the conditions on designating the vehicle routing were defined. In this paper the hybrid algorithm solving the presented problems was proposed. The hybrid algorithm consists of two heuristic algorithms: the ant and the genetic algorithm. In this paper the stages of constructing of the hybrid algorithm were presented. A structure of the data processed by the algorithm, a function of adaptation, a selection of chromosomes, a crossover, a mutation and an inversion were characterized. A structure of the data was presented as string of natural numbers. In selection process the roulette method was used and in the crossover process the operator PMX was presented. This algorithm was verified in programming language C #. The process of verification was divided into two stages. In the first stage the best parameters of the hybrid algorithm were designated. In the second stage the algorithm was started with these parameters and the result was compared with the random search algorithm. The random search algorithm generates 2000 routes and the best result is compared with the hybrid algorithm.
    Źródło:
    Archives of Transport; 2014, 29, 1; 27-36
    0866-9546
    2300-8830
    Pojawia się w:
    Archives of Transport
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The Use of Modern Statistical Methods to Optimize Production Systems in Foundries
    Autorzy:
    Szymszal, J.
    Gajdzik, B.
    Kaczmarczyk, G.
    Powiązania:
    https://bibliotekanauki.pl/articles/379769.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    production of computer-aided
    foundry production
    quality of castings
    statistical methods
    forecasting
    wytwarzanie wspomagane komputerem
    produkcja w odlewni
    jakość odlewów
    metody statystyczne
    prognozowanie
    Opis:
    Conducting reliable and credible evaluation and statistical interpretation of empirical results related to the operation of production systems in foundries is for most managers complicated and labour-intensive. Additionally, in many cases, statistical evaluation is either ignored and considered a necessary evil, or is completely useless because of improper selection of methods and subsequent misinterpretation of the results. In this article, after discussing the key elements necessary for the proper selection of statistical methods, a wide spectrum of these methods has been presented, including regression analysis, uni- and multivariate correlation, one-way analysis of variance for factorial designs, and selected forecasting methods. Each statistical method has been illustrated with numerous examples related to the foundry practice.
    Źródło:
    Archives of Foundry Engineering; 2016, 16, 3; 115-120
    1897-3310
    2299-2944
    Pojawia się w:
    Archives of Foundry Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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