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    Wyświetlanie 1-9 z 9
    Tytuł:
    ANFIS based prediction of the aluminum extraction from boehmite bauxite in the Bayer process
    Autorzy:
    Mihajlović, I.
    Đurić, I.
    Živković, Ž.
    Powiązania:
    https://bibliotekanauki.pl/articles/779072.pdf
    Data publikacji:
    2014
    Wydawca:
    Zachodniopomorski Uniwersytet Technologiczny w Szczecinie. Wydawnictwo Uczelniane ZUT w Szczecinie
    Tematy:
    leaching
    bauxite
    Bayer process
    statistical modeling
    ANFIS
    Opis:
    This paper presents the results of nonlinear statistical modeling of the bauxite leaching process, as part of Bayer technology for alumina production. Based on the data, collected during the year 2011 from the industrial production in the alumina factory Birač, Zvornik (Bosnia and Herzegovina), nonlinear statistical modeling of the industrial process was performed. The model was developed as an attempt to define the dependence of the Al2O3 degree of recovery as a function of input parameters of the leaching process: content of Al2O3, SiO2 and Fe2O3 in the bauxite, as well as content of Na2Ocaustic and Al2O3 in the starting sodium aluminate solution. As the statistical modeling tool, Adaptive Network Based Fuzzy Inference System (ANFIS) was used. The model, defined by the ANFIS methodology, expressed a high fitting level and accordingly can be used for the efficient prediction of the Al2O3 degree of recovery, as a function of the process inputs under the industrial conditions.
    Źródło:
    Polish Journal of Chemical Technology; 2014, 16, 1; 103-109
    1509-8117
    1899-4741
    Pojawia się w:
    Polish Journal of Chemical Technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Stochastic Models of Progression of Cancer and Their Use in Controlling Cancer-Related Mortality
    Autorzy:
    Kimmel, M.
    Gorlova, O. Y.
    Powiązania:
    https://bibliotekanauki.pl/articles/908159.pdf
    Data publikacji:
    2003
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    medycyna
    statystyka
    lung cancer
    genetic susceptibility
    environmental exposure
    tumor growth
    statistical modeling
    simulation
    Opis:
    A construction of a realistic statistical model of lung cancer risk and progression is proposed. The essential elements of the model are genetic and behavioral determinants of susceptibility, progression of the disease from precursor lesions through early (localized) tumors to disseminated disease, detection by various modalities, and medical intervention. Using model estimates as a foundation, mortality reduction caused by early-detection and intervention programs can be predicted under different scenarios. Genetic indicators of susceptibility to lung cancer should be used to define the highest-risk subgroups of the high-risk behavior population (smokers). The calibration and validation of the model requires applying our techniques to a variety of data sets available, including public registry data of the SEER type, data from the NCI lung cancer chest X-ray screening studies, and the recent ELCAP CT-scan screening study.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2003, 13, 3; 279-287
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A hybrid statistical approach for texture images classification based on scale invariant features and mixture gamma distribution
    Autorzy:
    Benlakhdar, Said
    Rziza, Mohammed
    Thami, Rachid Oulad Haj
    Powiązania:
    https://bibliotekanauki.pl/articles/29520269.pdf
    Data publikacji:
    2020
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    statistical image modeling
    SIFT
    mixture gamma distribution
    uniform discrete curvelet transform
    classification
    Opis:
    Image classification refers to an important process in computer vision. The purpose of this paper is to propose a novel approach named GGD-GMM and based on statistical modeling in wavelet domain to describe textured images and rely on number of principles which give its internal coherence and originality. Firstly, we propose a robust algorithm based on the combination of the wavelet transform and Scale Invariant Feature Transform. Secondly, we implement the aforementioned algorithm and fit the result using the finite mixture gamma distribution (GMM). The results, obtained for two benchmark datasets, show that the proposed algorithm has a good relevance as it provides higher classification accuracy compared to some other well known models see (Kohavi, 1995). Moreover, it shows other advantages relied to Noise-resistant and rotation invariant.
    Źródło:
    Computer Methods in Materials Science; 2020, 20, 3; 95-106
    2720-4081
    2720-3948
    Pojawia się w:
    Computer Methods in Materials Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Hilberg’s Conjecture – a Challenge for Machine Learning
    Autorzy:
    Dębowski, Łukasz
    Powiązania:
    https://bibliotekanauki.pl/articles/1373619.pdf
    Data publikacji:
    2014
    Wydawca:
    Uniwersytet Jagielloński. Wydawnictwo Uniwersytetu Jagiellońskiego
    Tematy:
    statistical language modeling
    Hilberg’s conjecture
    maximal repetition
    grammar-based codes
    Santa Fe processes
    Opis:
    We review three mathematical developments linked with Hilberg’s conjecture – a hypothesis about the power-law growth of entropy of texts in natural language, which sets up a challenge for machine learning. First, considerations concerning maximal repetition indicate that universal codes such as the Lempel-Ziv code may fail to efficiently compress sources that satisfy Hilberg’s conjecture. Second, Hilberg’s conjecture implies the empirically observed power-law growth of vocabulary in texts. Third, Hilberg’s conjecture can be explained by a hypothesis that texts describe consistently an infinite random object.
    Źródło:
    Schedae Informaticae; 2014, 23; 33-44
    0860-0295
    2083-8476
    Pojawia się w:
    Schedae Informaticae
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Analysis of impact of residual component when forecasting the demand of passengers by means of unidimensional time sequences of additive type
    Analiza wpływu składowej rezydualnej przy prognozowaniu zapotrzebowania pasażerów za pomocą jednowymiarowych sekwencji czasowych typu addytywnego
    Autorzy:
    Liscak, S.
    Holeša, L.
    Caban, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/309827.pdf
    Data publikacji:
    2013
    Wydawca:
    Instytut Naukowo-Wydawniczy "SPATIUM"
    Tematy:
    residual component
    time sequences of the type of additive
    public transport
    suburban bus transport
    mathematical-statistical modeling
    składowa rezydualna
    sekwencje czasowe typu addytywnego
    transport autobusowy podmiejski
    modelowanie matematyczno-statystyczne
    Opis:
    The article deals with the issue of mathematical-statistical modelling of passengers demand for suburban bus transport. It is based on time sequences of additive type with linear trend component with monthly season rate. We have managed to create in the paper a short-term prognosis for the selected type of transport, with the aim to point out the justification of adding the random (residual) component into the model for creating the prognosis. For practical reasons a specific mass public transport provider has been selected to contribute necessary data in order to elaborate the study.
    Niniejszy artykuł przedstawia matematyczno-statystyczne modelowanie zapotrzebowania pasażerów na podmiejski transport autobusowy. Analiza jest oparta na sekwencjach czasowych typu addytywnego ze składową trendu liniowego w miesięcznym przedziale czasowym. W pracy stworzono krótkoterminową prognozę dla wybranego środka transportu w celu uzasadnienia dodania losowej (rezydualnej) składowej do modelu dla potrzeb tworzenia prognozy. Dla celów praktycznych, autorzy wybrali konkretnego dostawcę usług transportu zbiorowego, który zapewnił dane niezbędne do przeprowadzenia analizy.
    Źródło:
    Autobusy : technika, eksploatacja, systemy transportowe; 2013, 14, 3; 1139-1150
    1509-5878
    2450-7725
    Pojawia się w:
    Autobusy : technika, eksploatacja, systemy transportowe
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Analysis of a Simple Method of CMOS IC Design for Yield Optimization
    Autorzy:
    Tomaszewski, D.
    Yakupov, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/397989.pdf
    Data publikacji:
    2012
    Wydawca:
    Politechnika Łódzka. Wydział Mikroelektroniki i Informatyki
    Tematy:
    CMOS
    projektowanie pod kątem zysku
    funkcja gęstości prawdopodobieństwa
    dystrybuanta
    modelowanie statystyczne
    BPV
    symulacja SPICE
    design centering
    design for yield
    probability density function
    cumulative distribution function
    statistical modeling
    BPV method
    SPICE simulation
    Opis:
    A simple approach for CMOS integrated circuit (IC) design taking into account a process variability and oriented towards optimization of a parametric yield has been presented. Its concept is based on cumulative distribution functions of random variables representing IC performances subject to process variations. In the method it has been assumed that CMOS process statistical data are expressed in terms of so-called process parameter distributions. Thus the design centering is done via layout parameter tuning. The approach relies on maximizing the probability that random variables corresponding to IC performances remain within the performance boundaries. Also, a methodology for statistical characterization of CMOS process has been briefly described. Finally, the method operation has been illustrated using analytical and SPICE models of CMOS inverter, operational amplifier and ring oscillator.
    Źródło:
    International Journal of Microelectronics and Computer Science; 2012, 3, 3; 81-87
    2080-8755
    2353-9607
    Pojawia się w:
    International Journal of Microelectronics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Statistical analysis for modeling ship operation processes in ports
    Autorzy:
    Özkan, Emin Deniz
    Koçer, Umay Uzunoğlu
    Nas, Selçuk
    Powiązania:
    https://bibliotekanauki.pl/articles/906094.pdf
    Data publikacji:
    2020
    Wydawca:
    Akademia Morska w Szczecinie. Wydawnictwo AMSz
    Tematy:
    port
    ship
    ship operations
    statistical distributions
    goodness of fit
    modeling
    Opis:
    The proper selection of statistical distributions is important for modeling port operations using simulations or queuing theory. The aim of this study was to determine the appropriate statistical distributions for modeling random processes related to ship operations in ports, including ship arrivals, berthing maneuver processes, service processes, and unberthing maneuver processes. A literature review was performed on the statistical distributions used in these random processes. In addition, the port data on ship operations gathered from three different ports in Turkey were examined. Goodness of fit tests were conducted to determine the appropriate distribution for each process.
    Źródło:
    Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2020, 62 (134); 71-79
    1733-8670
    2392-0378
    Pojawia się w:
    Zeszyty Naukowe Akademii Morskiej w Szczecinie
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Statistical Analyses of Productivity Model Parameters for Process Improvement
    Autorzy:
    Hussain, Zahid
    Powiązania:
    https://bibliotekanauki.pl/articles/102354.pdf
    Data publikacji:
    2019
    Wydawca:
    Stowarzyszenie Inżynierów i Techników Mechaników Polskich
    Tematy:
    statistical analyses
    process modeling
    experimental design
    process improvement
    analizy statystyczne
    modelowanie procesów
    projektowanie eksperymentalne
    doskonalenie procesów
    Opis:
    Productivity modeling and validation is the assessment of data to establish scientific indications that a process is stable. The aim of this paper is to present a novel approach using statistical analyses for process improvement. This study highlights the process behavior of three different lathe machines unit with the intention to replace one of them. The research methodology has illustrated by producing a steel rod of 3.175 millimeter diameter based on 180 samples collected from each machine. For statistical data value analysis, MS Excel 2016 and Minitab 18 were utilized. The results showed that lathe machine 1 and 2 had an equivalent inconsistency, but significantly different data spreads. Similarly, the throughput for machine 2 was higher with greater variability as compared to machine 1 while machine 3 encountered a low rate of throughput. On the basis of the fallouts of the analysis, the research team has officially suggested to substitute lathe machine 3.
    Źródło:
    Advances in Science and Technology. Research Journal; 2019, 13, 2; 157-167
    2299-8624
    Pojawia się w:
    Advances in Science and Technology. Research Journal
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Production cost calculation approach based on data collected during manufacturing process
    Autorzy:
    Krześniak, Grzegorz
    Powiązania:
    https://bibliotekanauki.pl/articles/23944755.pdf
    Data publikacji:
    2022
    Wydawca:
    Stowarzyszenie Menedżerów Jakości i Produkcji
    Tematy:
    cost calculation
    cost modeling
    manufacturing costs
    control chart
    quality costs
    Statistical Process Control (SPC)
    kalkulacja kosztów
    modelowanie kosztów
    koszty produkcji
    wykres kontrolny
    koszty jakości
    statystyczna kontrola procesu
    Opis:
    The aim of the article is to present a proposal and discuss the production cost calculation procedures based on data collected during manufacturing process, according to standard SPC control chart evaluation. It is applied as a tool to support the process of continuous improvement of the manufacturing process and improve profitability by reducing the cost of production. Research methodology - the study uses the results of a literature review on the issue of cost analysis and their modeling. Key elements are the main cost components, but also those that are considered less important and may be overall decisive. Application of Statistical Process Control - as a method of data collection for cost modeling to improve overall cost structure is proposed. Originality/value - the considerations presented in the study may be the basis for determining the key components of the cost of production. The proposed simulation model allows for the determination of the main quality cost factors. This, in turn, should allow to define the main directions of searching for the optimization of the product cost in order to achieve the expected level of cost and quality.
    Źródło:
    System Safety : Human - Technical Facility - Environment; 2022, 4, 1; 19-27
    2657-5450
    Pojawia się w:
    System Safety : Human - Technical Facility - Environment
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-9 z 9

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