2,336 research outputs found

    CIFAR-10: KNN-based Ensemble of Classifiers

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    In this paper, we study the performance of different classifiers on the CIFAR-10 dataset, and build an ensemble of classifiers to reach a better performance. We show that, on CIFAR-10, K-Nearest Neighbors (KNN) and Convolutional Neural Network (CNN), on some classes, are mutually exclusive, thus yield in higher accuracy when combined. We reduce KNN overfitting using Principal Component Analysis (PCA), and ensemble it with a CNN to increase its accuracy. Our approach improves our best CNN model from 93.33% to 94.03%

    Numerical investigation of leakage behaviour in long radius elbows

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    This paper focuses on the relationship between leakage opening areas and pressure heads for 90° long radiuselbows under elastic limits using finite element analysis (SAP 2000). The results indicate that leakage opening areas grow linearly as the system pressure increases and the relation is described by the pressure–area slope (M). A sensitivity study was performed to show the effect of various parameters on M, as well as the leakage exponent (N). It was found that elbow internal diameter has the largest influence on the pressure–area slope, followed by the modulus of elasticity and finally elbow wall thickness. The longitudinal stress and Poisson’s ratio have a negligible effect on M. Furthermore, leak quantity is related to the pressure raised to a power ranging from 0.495 to 0.592. Regression analysis was used to derive an empirical equation to predict the pressure–area slope of round holes within elbows with different properties.Keywords: finite element analysis, leakage, leakage exponent, long radius elbows, pressur

    Značajke građe i optička svojstava otpuštenih tankih slojeva cdin2se4

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    CdIn2Se4 chalcogenides thin films were prepared by thermal evaporation process. The effect of thermal annealing in vacuum on the growth characteristics of the deposited films was studied using X-ray and transmission electron microscopy techniques. It was observed that the as deposited films (300 K) were poorly crystalline. The degree of crystallinity increases with increasing the annealing temperature from 300 to 500 K. The compositional elemental analysis of CdIn2Se4 thin films annealed at 500 K was found to be nearly stoichiometric, however, films annealed in vacuum at 575 K partially dissociated into two binary phases with CdIn2Se4 as the major phase. The effect of the annealing temperature on the dispersion of the refractive index of the deposited films was investigated and analyzed within the single effective-oscillator approach. Changes of the dispersion parameters were also investigated as a function of the annealing temperature. Analysis of the optical absorption data revealed the existence of allowed direct and indirect optical transitions, and both values of energy gaps decrease with increasing annealing temperature.Isparavanjem u vakuumu pripremali smo tanke slojeve halkogenida CdIn2Se4. Proučavali smo učinke toplinskog otpuštanja u vakuumu na strukturne značajke naparenih slojeva primjenom difrakcije X-zračenja i prolazne elektronske mikroskopije. Opaža se da su svježe (na 300 K) napareni slojevi slabo kristalinični. Stupanj kristaliničnosti povećava se s povišenjem temperature otpuštanja između 300 i 500 K. Analize elementalnog sastava tankih slojeva CdIn2Se4 otpuštenih do 500 K pokazale su gotovo točan stoihiometrijski sastav, međutim, slojevi otpušteni na 575 K djelomično se razlažu u dvije binarne faze, dok CdIn2Se4 ostaje glavna faza. Mjerili smo učinke otpuštanja na disperzivnost indeksa loma naparenih slojeva i analizirali ishode jedno-oscilatornim modelom. Promjene parametara disperzije također smo istraživali u ovisnosti o temperaturi otpuštanja. Analize podataka za optičku apsorpciju ukazuju na postojanje dozvoljenih izravnih i neizravnih optičkih prijelaza s padom širina procijepa za povećne temperature otpuštanja

    Značajke građe i optička svojstava otpuštenih tankih slojeva cdin2se4

    Get PDF
    CdIn2Se4 chalcogenides thin films were prepared by thermal evaporation process. The effect of thermal annealing in vacuum on the growth characteristics of the deposited films was studied using X-ray and transmission electron microscopy techniques. It was observed that the as deposited films (300 K) were poorly crystalline. The degree of crystallinity increases with increasing the annealing temperature from 300 to 500 K. The compositional elemental analysis of CdIn2Se4 thin films annealed at 500 K was found to be nearly stoichiometric, however, films annealed in vacuum at 575 K partially dissociated into two binary phases with CdIn2Se4 as the major phase. The effect of the annealing temperature on the dispersion of the refractive index of the deposited films was investigated and analyzed within the single effective-oscillator approach. Changes of the dispersion parameters were also investigated as a function of the annealing temperature. Analysis of the optical absorption data revealed the existence of allowed direct and indirect optical transitions, and both values of energy gaps decrease with increasing annealing temperature.Isparavanjem u vakuumu pripremali smo tanke slojeve halkogenida CdIn2Se4. Proučavali smo učinke toplinskog otpuštanja u vakuumu na strukturne značajke naparenih slojeva primjenom difrakcije X-zračenja i prolazne elektronske mikroskopije. Opaža se da su svježe (na 300 K) napareni slojevi slabo kristalinični. Stupanj kristaliničnosti povećava se s povišenjem temperature otpuštanja između 300 i 500 K. Analize elementalnog sastava tankih slojeva CdIn2Se4 otpuštenih do 500 K pokazale su gotovo točan stoihiometrijski sastav, međutim, slojevi otpušteni na 575 K djelomično se razlažu u dvije binarne faze, dok CdIn2Se4 ostaje glavna faza. Mjerili smo učinke otpuštanja na disperzivnost indeksa loma naparenih slojeva i analizirali ishode jedno-oscilatornim modelom. Promjene parametara disperzije također smo istraživali u ovisnosti o temperaturi otpuštanja. Analize podataka za optičku apsorpciju ukazuju na postojanje dozvoljenih izravnih i neizravnih optičkih prijelaza s padom širina procijepa za povećne temperature otpuštanja

    Comprehensive thermal and structural characterization of antimony-phosphate glass

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    For the first time, we prepare new ternary glass systems of composition (95-x)Sb2O3-xP2O5-5MgO, where x = 45, 40, 35 mol%; (85-x)Sb2O3-xP2O5-15MgO, where x = 55, 35, 25 mol%; (75-x)Sb2O3-xP2O5-25MgO, where x = 45, 35, 25 mol%; and 60Sb2O3-(40-x)P2O5-xMgO, where x = 10, 20 mol% via melt-quenching method. Synthesized glasses are characterized using XRD, FESEM, EDX, and TG/DTA measurements. The influence of varying modifier concentrations on their thermal properties is evaluated. The XRD patterns confirmed the amorphous nature of samples. SEM images demonstrated interesting phase formation with ribbons-like texture. Five crystalline phases are evidenced in the ternary diagram which are antimony phosphate and antimony orthophosphate as major phases as well as magnesium phosphate, magnesium cyclo-tetraphosphate and cervantite as minor phases. EDX spectra detected the right elemental traces. Detailed thermal analysis of these glasses revealed their high-molecular polymer character for Sb2O3 content greater than 50 mol%. Three different glass transition temperatures are achieved around 276, 380–381 and 422–470 °C depending on the composition. Furthermore, the solidus and liquidus temperature are found to decrease with increasing Sb2O3 and increases for MgO contents till 15 mol% and then decrease, where the lowest recorded solidus temperature is 426 °C. This observation may open up new research avenues for antimony based ternary glasses and an exploitation of the derived results for optoelectronics applications, photonic devices and non-linear optical devices

    A Data-Driven Method for Selecting Optimal Models Based on Graphical Visualisation of Differences in Sequentially Fitted ROC Model Parameters

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    Differences in modelling techniques and model performance assessments typically impinge on the quality of knowledge extraction from data. We propose an algorithm for determining optimal patterns in data by separately training and testing three decision tree models in the Pima Indians Diabetes and the Bupa Liver Disorders datasets. Model performance is assessed using ROC curves and the Youden Index. Moving differences between sequential fitted parameters are then extracted, and their respective probability density estimations are used to track their variability using an iterative graphical data visualisation technique developed for this purpose. Our results show that the proposed strategy separates the groups more robustly than the plain ROC/Youden approach, eliminates obscurity, and minimizes over-fitting. Further, the algorithm can easily be understood by non-specialists and demonstrates multi-disciplinary compliance

    Thermal vibration analysis of cracked nanobeams submerged in elastic foundations by nonlocal continuum mechanics

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    Funding information The authors declare that they do not receive any funds from any organization for this research.Peer reviewe

    Effect of Tempering Temperatures on the Mechanical Properties of Cu-Al Alloy

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