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Wyszukujesz frazę "Tong, Lin" wg kryterium: Autor

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    Wyświetlanie 1-6 z 6
    Tytuł:
    Adsorption Behavior of Glucuronic Acid on Pyrite Surface: an electrochemical and DFT Study
    Autorzy:
    Ning, Xu Jia
    Ying, Yang Hong
    Lin, Tong-Lin
    Powiązania:
    https://bibliotekanauki.pl/articles/355049.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    glucuronic acid
    pyrite
    adsorption
    Opis:
    Bacterial adsorption on mineral surface is one of the key steps in bioleaching process. The bacteria adsorb on the mineral surface via the extracellular polymeric substances (EPS) layer. In this paper, the behavior of glucuronic acid, one of the key substances in EPS layer, adsorbed on the pyrite surface is studied using DFT and electrochemical methods. Adsorption capacity of glucuronic acid is stronger than that of water. Glucuronic acid adsorbs on pyrite surfaces and it follows a mixed type of interactions (physisorption and chemisorption). Adsorption of glucuronic acid on pyrite surface followed Langmuir’s adsorption isotherm with adsorption standard free energy of –27.67kJ mol-1. The structural and electronic parameters were calculated and discussed.
    Źródło:
    Archives of Metallurgy and Materials; 2020, 65, 1; 433-440
    1733-3490
    Pojawia się w:
    Archives of Metallurgy and Materials
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Research on communication emitter identification based on semi-supervised dimensionality reduction in complex electromagnetic environment
    Autorzy:
    Ge, Wei
    Qi, Lin
    Tong, Lin
    Zhu, Jun
    Zhang, Jing
    Zhao, Dongyang
    Li, Ke
    Powiązania:
    https://bibliotekanauki.pl/articles/27311449.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    communication emitter identification
    feature extraction
    dimensionality reduction
    VMD
    ESDA
    variational mode decomposition
    exponential semi-supervised discriminant analysis
    identyfikacja emitera komunikacyjnego
    ekstrakcja cech
    redukcja wymiarowości
    rozkład w trybie wariacyjnym
    analiza dyskryminacyjna wykładnicza półnadzorowana
    Opis:
    The individual identification of communication emitters is a process of identifying different emitters based on the radio frequency fingerprint features extracted from the received signals. Due to the inherent non-linearity of the emitter power amplifier, the fingerprints provide distinguishing features for emitter identification. In this study, approximate entropy is introduced into variational mode decomposition, whose features performed in each mode which is decomposed from the reconstructed signal are extracted while the local minimum removal method is used to filter out the noise mode to improve SNR. We proposed a semi-supervised dimensionality reduction method named exponential semi-supervised discriminant analysis in order to reduce the high-dimensional feature vectors of the signals, and LightGBM is applied to build a classifier for communication emitter identification. The experimental results show that the method performs better than the state-of-the-art individual communication emitter identification technology for the steady signal data set of radio stations with the same plant, batch and model.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2023, 71, 4; art. no. e145766
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Theoretical Study on Nitroimine Derivatives of Azetidine as High-Energy-Density Compounds
    Autorzy:
    Li, Bu-tong
    Li, Lu-lin
    Powiązania:
    https://bibliotekanauki.pl/articles/358762.pdf
    Data publikacji:
    2020
    Wydawca:
    Sieć Badawcza Łukasiewicz - Instytut Przemysłu Organicznego
    Tematy:
    high-energy-density compounds
    Kamlet-Jacobs equations
    azetidin derivatives
    Opis:
    A series of derivatives of azetidine were designed by stepwise replacing the hydrogen atoms of azetidine with nitroimine groups. At the G3MP2 level, the heats of formation (HOFs), bond dissociation energies (BDEs), molecular densities (ρ0), detonation velocities (D), and detonation pressures (P) of the nitroimine-substituted azetidines were investigated to look for high-energy-density compounds (HEDCs). It was found that the nitroimine-substituted azetidines have high HOFs and large BDEs, and sufficient thermal and kinetic stability. Furthermore, the covalent bond strength in the four-membered ring, accompanied by intramolecular hydrogen bonds, are the determining factors for isomer stability. Based on our calculations, derivatives E and F have better detonation performance than RDX and can be regarded as potential high-energy-density compounds. This work may provide basic information for further study of the title compounds.
    Źródło:
    Central European Journal of Energetic Materials; 2020, 17, 1; 107-118
    1733-7178
    Pojawia się w:
    Central European Journal of Energetic Materials
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Computational Modeling of the Elastic Property of Three-Dimensional Open Cell Foams
    Autorzy:
    Nie, Z.
    Lin, Y.
    Tong, Q.
    Powiązania:
    https://bibliotekanauki.pl/articles/355677.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    open cell foams
    Laguerre-Voronoi tessellation
    finite element method
    elastic property
    macrostructure
    Opis:
    The work reports on the development of random three-dimensional Laguerre-Voronoi computational models for open cell foams. The proposed method can accurately generate foam models having randomly distributed parameter values. A three-dimensional model of ceramic foams having pre-selected cell volumes distribution with stochastic coordinates and orientations was created in the software package ANSYSTM. Different groups of finite element models were then generated using the developed foam modeling procedure. The size sensitivity study shows that each of foam specimens at least contains 125 LV-cells. The developed foam models were used to simulate the macroscopic elastic properties of open cell foams under uni-axial and bi-axial loading and were compared with the existing open cell foam models in the literature. In the high porosity regime, it is found that the elastic properties predicted by random Laguerre-Voronoi foam models are almost the same as those predicted by the perfect Kelvin foam models. In the low porosity regime the results of the present work deviate significantly from those of other models in the literature. The results presented here are generally in better agreement with experimental data than other models. Thus, the Laguerre-Voronoi foam models generated in this work are quite close to real foam topology and yields more accurate results than other open cell foam models.
    Źródło:
    Archives of Metallurgy and Materials; 2018, 63, 3; 1153-1165
    1733-3490
    Pojawia się w:
    Archives of Metallurgy and Materials
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Study on separation of low-grade zinc oxide ore with sulfurization-amination flotation
    Autorzy:
    Feng, Dongxia
    Bai, Lin
    Xie, Haiyun
    Tong, Xiong
    Powiązania:
    https://bibliotekanauki.pl/articles/109605.pdf
    Data publikacji:
    2019
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    low-grade zinc oxide ore
    sulfurization-amination flotation
    grinding fineness
    Opis:
    With the continuous depletion of a large number of zinc sulphide ores that are easy to treat, the finely disseminated and refractory low-grade zinc oxide ores has become an important source for the production of zinc minerals. In this paper, a sulfurization-amination flotation process has been proposed for concentrating large amounts of low-grade zinc oxide ore in Lanping, Yunnan Province. Spectrum analysis, chemical analysis and element analysis was performed to provide research basis for process design and operational control. The main influencing factors during the process, including grinding fineness, reagent types and dosage, etc., have been studied through flotation tests. The results showed that the optimum grinding fineness was -0.074 mm accounting for 89.78% for the target run-of mine ore. Moreover, optimum dosages of sodium carbonate, sodium silicate, sodium hexametaphosphate, sodium sulphide and octadecylamine were determined as 1500 g/t, 500 g/t, 200g/t, 8000 g/t and 500 g/t, respectively. Under these conditions, an open circuit test and a closed circuit test with one stage rougher, two stage scavenger and three stage cleaner flotation were carried out with the run-of-mine ore with a zinc grade of 6.52% and the oxidation ratio of 94.62%. The zinc concentrate can be obtained with zinc grade of 44.09% at a zinc recovery of 66.35% with a 9.70% yield of zinc concentrate yield. The results confirmed the validity and practicability of the proposed process design and experimental operation. This study is of special value as it provides referencing significance for economically exploiting low-grade zinc oxide ore.
    Źródło:
    Physicochemical Problems of Mineral Processing; 2019, 55, 5; 1082-1090
    1643-1049
    2084-4735
    Pojawia się w:
    Physicochemical Problems of Mineral Processing
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A machine learning method for soil conditioning automated decision-making of EPBM : hybrid GBDT and Random Forest Algorithm
    Autorzy:
    Lin, Lin
    Guo, Hao
    Lv, Yancheng
    Liu, Jie
    Tong, Changsheng
    Yang, Shuqin
    Powiązania:
    https://bibliotekanauki.pl/articles/2087007.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
    Tematy:
    soil conditioning
    automated decision-making
    hybrid algorithm
    geological parameters
    drive parameters
    feature selection
    Opis:
    There lacks an automated decision-making method for soil conditioning of EPBM with high accuracy and efficiency that is applicable to changeable geological conditions and takes drive parameters into consideration. A hybrid method of Gradient Boosting Decision Tree (GBDT) and random forest algorithm to make decisions on soil conditioning using foam is proposed in this paper to realize automated decision-making. Relevant parameters include decision parameters (geological parameters and drive parameters) and target parameters (dosage of foam). GBDT, an efficient algorithm based on decision tree, is used to determine the weights of geological parameters, forming 3 parameters sets. Then 3 decision-making models are established using random forest, an algorithm with high accuracy based on decision tree. The optimal model is obtained by Bayesian optimization. It proves that the model has obvious advantages in accuracy compared with other methods. The model can realize real-time decision-making with high accuracy under changeable geological conditions and reduce the experiment cost.
    Źródło:
    Eksploatacja i Niezawodność; 2022, 24, 2; 237--247
    1507-2711
    Pojawia się w:
    Eksploatacja i Niezawodność
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-6 z 6

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