1,045 research outputs found
Scenario of Linguo – Cultural Essence of Verbs Expressing Behavior Peculiar to the Uzbeks
No full textThe author analyses lingua-cognitive and linguo-cultural essence of the verbs compiling the scenario of spiritual processes peculiar to the conduct of the Uzbeks. Here, the verbs compiling this scenario, based on systematic peculiarities in paradigmatic relations, go into syntagmatic relations, in expressing the very reality. The author also says that this condition creates instantaneous condition and this condition put them in order of a new system. In this order, the basis of verbs is stable lingua-cultural value. The author tries to prove that some verbs serve as direct unifiers of the events of a literary work
IBN SINO FALSAFIY QARASHLARINI O‘RGANILISH TARIXIDAN
No full textВ статье говорится о философских взглядах в творчестве Ибн Сины и истории их изучения. Автор Ибн Сина пытался осветить философскую суть своих произведений, написанных в области философии, природы, медицины и художественной литературы, а также музыки.The article talks about the philosophical views in the works of Ibn Sina and the history of their study. The author Ibn Sina tried to illuminate the philosophical essence of his works written in the fields of philosophy, nature, medicine and fiction, as well as music.Maqolada Ibn Sino ijodida falsafiy qarashlar va ularning o‘rganilish tarixi haqida so‘z borgan. Muallif Ibn Sino falsafa, tabiat, tibbiyot va badiiy adabiyotda, musiqa kabi boshqa fanlar sohasida yozgan asarlarini falsafiy mohiyatini yoritishga harakat qilgan
Исследование влияния парамeтров поездопотоков на показатели работы сортировочной станции методами имитационного моделирования
No full textMozolevych, G. The research of effect of train flows parameters and technical and technological parameters of marshalling yard on its indicators by simulation / Mozolevych G., Puhach O., Rustamov R. // Transport Problems (IV International Symposium of Young Researchers) / Silesian University of Technology. - Katowice, 2015. – P. 770 – 778EN: The structure of the functional simulation model of sorting station realized as a software product. Results of research of influence of parameters of train flows on the performance of the sorting station, made its use. Special attention was paid to the influence of the parameters of the train flows on the efficiency of the process of train making.UK: Приведена структура функціональної імітаційної моделі сортувальної станції, реалізованої в якості програмного продукту. Приведені результати дослідження впливу параметрів поїздопотоків на показники роботи сортувальної станції, виконаного з її використанням. Особливу увагу було приділено впливу параметрів поїздопотокв на ефективність процесу составоутворення.RU: Приведена структура функциональной имитационной модели сортировочной станции, реализованной в качестве программного продукта. Приведены результаты исследования влияния параметров поездопотоков на показатели работы сортировочной станции, выполненного с её использованием. Особое внимание было уделено влиянию параметров поездопотоков на эффективность процесса составообразования
ISSUES OF ENSURING THE OPENNESS OF ADMINISTRATIVE COURTS: PROBLEMS AND SOLUTIONS
No full textIn this article, the author from scientific and practical positions considers the processes of digitalization in administrative courts, which have recently become one of the most important participants in the process of protecting the rights and interests of citizens and legal entities from illegal decisions and actions of public authorities and administration in Uzbekistan. In particular, the current state of ensuring the openness of the activities of these courts, the work carried out in this direction and the problems that arise, the legal foundations of the digitalization process, and positive foreign experience in this area have been studied in detail. In the article, the author presents his scientific and practical proposals and recommendations for increasing the authority and openness of administrative courts and further improving the regulation of their activities
"Tibbiy tasvirlarini segmentatsiya qilishda yangi konvolyutsion nneyron tarmog\u27i: arxitekturasi, usullari va qo\u27llanilishi tahlillari: "Tibbiy tasvirlarini segmentatsiya qilishda yangi konvolyutsion nneyron tarmog\u27i: arxitekturasi, usullari va qo\u27llanilishi tahlillari
No full textAnnotatsiya. U-Net (U shaklidagi tarmoq) konvolyutsion neyron tarmog\u27i arxitekturasi tibbiy tasvirlarni tahlil qilish va samarali segmentatsiya qilishda inqilobiy ahamiyatga ega bo‘lgan uslub hisoblanadi. 2015 yilda Olaf Ronneberger va boshqalar tomonidan ishlab chiqilgan U-Net neyron tarmoqlaridan foydalanish tibbiy tasvirlar bilan ishlashda standart vositaga aylanib ulgurdi. Ushbu maqola uning ishlashi, samaradorligi va biotibbiy tasvirlarini segmentatsiya qilish muammolariga qo\u27llanilishi haqida ma\u27lumot beradi. Biz ushbu yangi tarmoq tarmoq qo\u27llaydigan usullarni, hal qiladigan muammolarini va yuqori segmentatsiya aniqligiga erishish yo‘llarini o\u27rganamiz. Shuningdek, uning yutuqlari va kelajakdagi istiqbollari haqida muhokama yuritamiz
Evaluation of the Impact of the Tax Legislation Reforms on the Tax Potential by Fuzzy Inference Method
No full textAbstractIn the paper the Mamdani-Type Fuzzy inference method is applied for the expert evaluation of the impact of the tax legislation reforms on the tax potential. The model being investigated includes 4 inputs, 8 IF-THEN rules and a single-output. Triangle, trapezoid, Gaussian and Bell-shaped membership functions are used for the fuzzification of input data and output of the system is evaluated by Gaussian curve membership function. For the investigated year the laws made reforms in the Azerbaijan tax legislation are classified and evaluated on the base of fuzzy inference system
Experiment with Machine Learning on Hierarchical Multi-Modal Astronomical Data
No full textTato bakalářská práce představuje komplexní studii predikce rychlosti tvorby hvězd (SFR) v galaxiích pomocí multimodálních data získaných z přehlídky oblohy Sloan Digital Sky Survey (SDSS, DR7). Nejprve filtrujeme počáteční katalog SFR, abychom vytvořili vysoce kvalitní, vyčištěnou podmnožinu 11,179 galaxií, které mají platná jednorozměrná spektra a fotometrii (fotografie) v pěti pásmech. Tato práce využívá obrazy s různým rozlišením (64×64 až 8×8 px) a spektra s různým vzorkováním (4620 až 577 binů), včetně jejich měřicích nejistot, přímo z již existujícího HiSS-Cube datasetu. V této práci jsou použity tři skupiny regresních modelů: rozhodovací strom, konvoluční neuronová síť VGGNet12 a gradientní boosting LightGBM, pro tři různé modality: pouze fotometrie, pouze spektroskopie a multimodální fúze, včetně časné a pozdní fúze. Hledání hyperparametrů je prováděno pomocí metody grid search s pětinásobnou křížovou validací a hodnocení výkonu modelu je provedeno pomocí různých metrik, jako jsou R2 , MAE, RMSE a NMAD. Nejlepšího výkonu dosahuje model LightGBM s časnou fúzí s hodnotami R2 = 0,308, MAE=0,19, RMSE=0,32, což ilustruje sílu stromových algoritmů při slučování vizuálních a spektrálních znaků. VGGNet12 trénovaná pouze na fotometrických obrazech také dosahuje dobrých výsledků (R2 = 0,262), což ukazuje sílu hlubokých CNN pro učení morfologických rysů. Zajímavé je, že nižší spektrální rozlišení generalizuje lépe díky implicitnímu vyhlazování šumu. Naše výsledky potvrzují, že multimodální strojové učení dokáže přesně zachytit komplementární astrofyzikální příznaky pro odhad SFR. Metodologický základ položený v této práci umožňuje v budoucnu zkoumat sofistikovanější metody fúze a využívat další datové modality zahrnující informaci o okolním prostředí či kinematice dané galaxie.This thesis presents a comprehensive study of the prediction of star formation rates (SFR) in galaxies using multimodal data acquired from the Sloan Digital Sky Survey (SDSS, DR7). We first filter the initial SFR catalogue to produce a high-quality, cleaned subset of 11,179 galaxies that have valid one-dimensional spectra and five-band photometry. This thesis uses the multiresolution images (64×64 to 8×8 px) and spectral samplings (4620 to 577 bins), along with their measurement uncertainties, directly from the pre-existing HiSS-Cube dataset. Three groups of regression models were considered in this thesis: Decision Tree (DT), the VGGNet12 convolutional neural network, and LightGBM gradient boosting, for three different modalities: photometry-only, spectroscopy-only, and multimodal fusion, including both early and late fusion. The hyperparameter search is conducted via grid search with five-fold cross-validation, and model performance assessment is done via a range of metrics, such as R2 , MAE, RMSE a NMAD. The top performance is obtained by the early-fusion LightGBM model with R2 = 0.308, MAE=0.19, RMSE=0.32, illustrating the power of tree-based learners for fusing visual and spectral features. VGGNet12 trained on photometric images alone also performs well (R2 = 0.262), illustrating the power of deep CNNs for morphological feature learning. Interestingly, the lowest spectral resolution generalizes better because of implicit noise smoothing. Our results validate that multimodal machine learning can record complementary astrophysical features for SFR estimation accurately. Methodological groundwork laid here allows for the exploration of more sophisticated fusion methods and utilization of other data modalities incorporating the information about the circumgalactic environment or galaxy kinematics in the future
SIMULTANEOUS TRANSITIONS IN IR ABSORPTION SPECTRA OF SYSTEM CAPABLE TO THE COMPLEX FORMATION
No full textAuthor Institution: Samarkand State UniversityWe observed a number of simultaneous vibrational transitions in the absorption spectra of gas and liquid mixtures with HCl, CHCl3, CDCl3, H2O and some alcohols. Frequencies, widths and integral band intensities of the IR spectra have been measured. In approximation of pair electrostatic induction mechanism the absolute intensities of observed IR absorption band were calculated. In these calculations the models of intermolecular potentials of the Lennard-Johns (12:6) and Kihara were used. Important role of complex formation on intensity of simultaneous transitions bands was demonstrated
MAKTAB DARSLIKLARIDA FAZOVIY SHAKLLARNI O'RGANISHDA KASBIY KONTEKSTDAGI MASALALAR
No full text<p><i>Ushbu maqolada maktab darsliklarida fazoviy shakllarni o`rganishda kasbiy kontekstdagi masalar haqida misollar yordamida yoritib o`tilgan.</i></p>
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