Pliocene fish species based on skeleton remains and associated teeth ever reported from the inner Carpathian area in Romania in the Braşov Basin (Baraolt sub-basin), which refers to a pike (Esox sp.). The fish fossils illustrating a large-sized specimen originate from the South Racoş coal open pit (Racoşu de Sus, Covasna County), in the so-called “Formation with Limnocardium” (Dacian, Lower Pliocene). Comparisons with osteological material of recent pikes originating from various localities in Romania are presented. The associated mollusc fauna known from the formation that yielded the pike remains suggests the presence of a lake with a stratified water column in the Baraolt sub-basin.
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Purpose: The goal of this work is to determine residual stresses of coats obtained in PVD process with the use of finite elements method and comparative analysis with results obtained by laboratory investigations. Design/methodology/approach: Article introduces the usage of finite elements method for simulation of stresses measurement process in TiN Ti(C,N) and TiC coats obtained in magnetron PVD process on high-speed steel PM HS6-5-3-8. Modelling of stresses was performed with the help of finite element method in MARC environment, and the experimental values of stresses were determined basing on the sin2ψ. Findings: The presented model meets the initial criteria, which gives ground to the assumption about its usability for determining the stresses in coatings, employing the finite element method using the MARC program. The computer simulation results correlate with the experimental results. Research limitations/implications: To evaluate with more detail the possibility of applying these coatings in tools, further computer simulation should be concentrated on the determination of other properties of the coatings for example- microhardness. Originality/value: From results of the simulation based on the finite element method is possible to compute the mechanical properties of coatings obtained in PVD process.
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The Fisher-Shannon information (FS) plane, defined by the Fisher information measure (FIM), and the Shannon entropy power, N x , is a robust tool for investigating the complex dynamics of time series. In the FS plane, earthquakes and quarry blasts measured in Vértes Hills (Hungary) are significantly discriminated from each other. Furthermore, the results of the receiving-operating characteristics (ROC) analysis reveal that FIM is a classifier more efficient than N x in discriminating earthquakes from quarry blasts.
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The currently dominant speech recognition technology, hidden Markov modeling, has long been criticized for its simplistic assumptions about speech, and especially for the naive Bayes combination rule inherent in it. Many sophisticated alternative models have been suggested over the last decade. These, however, have demonstrated only modest improvements and brought no paradigm shift in technology. The goal of this paper is to examine why HMM performs so well in spite of its incorrect bias due to the naive Bayes assumption. To do this we create an algorithmic framework that allows us to experiment with alternative combination schemes and helps us understand the factors that influence recognition performance. From the findings we argue that the bias peculiar to the naive Bayes rule is not really detrimental to phoneme classification performance. Furthermore, it ensures consistent behavior in outlier modeling, allowing efficient management of insertion and deletion errors.
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