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Wyświetlanie 1-15 z 23
Tytuł:
Influence of NaCl Additive on the Reduction Process of MoO3 to Mo2C by High-Purity CO Gas
Autorzy:
Que, Biao-Hua
Wang, Lu
Wang, Bao
Chen, Yi
Xue, Zheng-Liang
Powiązania:
https://bibliotekanauki.pl/articles/2106609.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Mo2C
MoO3
CO
NaCl
Opis:
In this work, influence of NaCl additive on the transformation process of MoO3 to Mo2C under pure CO atmosphere in the range of room temperature to 1170 K was investigated. The results showed that transformation of MoO3 to Mo2C can be roughly divided into two stages: the reduction of MoO3 to MoO2 (the first stage) and the carburization of MoO2 to Mo2C (the second stage). As to the first stage, it was found that increasing the content of NaCl (from 0 to 0.5 wt.%) was beneficial for the increase of reaction rate due to the nucleation effect; while when the content of NaCl increased to 2 wt.%, the reaction rate will be decreased in turn. As to the second stage, the results showed that reaction rate was decreased with the increase of NaCl, which may be due to the formation of low-melting point eutectic. The work also found that morphology of as-prepared Mo2C was irregular and particle size of it was gradually increased with increasing the NaCl content. According to the results, the possible reaction mechanism was proposed.
Źródło:
Archives of Metallurgy and Materials; 2022, 67, 2; 787--796
1733-3490
Pojawia się w:
Archives of Metallurgy and Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Force mechanism and conceptual design of reinforced concrete short beam without web reinforcement
Autorzy:
Chen, Yi-Jun
Zhang, Hu-Zhi
Lu, Bei-Rong
Huang, Yao-Sen
Powiązania:
https://bibliotekanauki.pl/articles/2200825.pdf
Data publikacji:
2022
Wydawca:
Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:
reinforced concrete short beam
topology optimization
conceptual design
load-transfer path
Michell criterion
Opis:
Topology Optimization and Finite Element Analysis were carried out for reinforced concrete short beams to reveal the force mechanism. The results show that load-transfer paths for the beams can evolve from Bi-directional Evolutionary Structural Optimization and be mechanically supported by the Michell criterion. In the beams, the distribution of a high- -stress compression area appears as a truss under a concentrated load and a tie-arch under a uniform load. The beams do not have much higher bearing capacity but can consume many more materials. Consequently, new design ideas were recommended based on the load transfer paths obtained by Topology Optimization.
Źródło:
Journal of Theoretical and Applied Mechanics; 2022, 60, 4; 659--671
1429-2955
Pojawia się w:
Journal of Theoretical and Applied Mechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The effect of Al(III) and Fe(III) ions on the flotation behavior of Kfeldspar with sodium oleate as the collector
Autorzy:
Chen, Yi
Zhou, Jikui
He, Guichun
Hu, Hongxi
Liu, Chao
Yang, Jiping
Lyu, Xianjin
Powiązania:
https://bibliotekanauki.pl/articles/27323648.pdf
Data publikacji:
2023
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
K-feldspar flotation
aluminum ion
iron ion
sodium oleate
action mechanism
Opis:
The present study investigates the effects and mechanisms of aluminum (Al(III)) and iron (Fe(III)) ions on the flotation efficiency of potassium feldspar (K-feldspar) within oleate collector systems. The study employs micro-flotation experiments, solution chemistry calculations, zeta potential measurements, and FT-IR and XPS analyses to demonstrate that Al(III) and Fe(III) ions can significantly improve the flotation recovery of K-feldspar by altering its surface charge, bonding properties, and adsorption modes. The study also develops adsorption models for the flotation of K-feldspar activated by Al(III) and Fe(III), revealing the synergistic impacts of metal ion hydrolysis products and sodium oleate in the formation of hydrophobic complexes.
Źródło:
Physicochemical Problems of Mineral Processing; 2023, 59, 6; art. no. 174724
1643-1049
2084-4735
Pojawia się w:
Physicochemical Problems of Mineral Processing
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Noise robust illumination invariant face recognition via bivariate wavelet shrinkage in logarithm domain
Autorzy:
Chen, Guang Yi
Krzyżak, Adam
Duda, Piotr
Cader, Andrzej
Powiązania:
https://bibliotekanauki.pl/articles/2147140.pdf
Data publikacji:
2022
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
face recognition
dual-tree complex wavelet transforms
DTCWT
collaborative representation-based classifier
CRC
invariant features
pattern recognition
computer vision
Opis:
Recognizing faces under various lighting conditions is a challenging problem in artificial intelligence and applications. In this paper we describe a new face recognition algorithm which is invariant to illumination. We first convert image files to the logarithm domain and then we implement them using the dual-tree complex wavelet transform (DTCWT) which yields images approximately invariant to changes in illumination change. We classify the images by the collaborative representation-based classifier (CRC). We also perform the following sub-band transformations: (i) we set the approximation sub-band to zero if the noise standard deviation is greater than 5; (ii) we then threshold the two highest frequency wavelet sub-bands using bivariate wavelet shrinkage. (iii) otherwise, we set these two highest frequency wavelet sub-bands to zero. On obtained images we perform the inverse DTCWT which results in illumination invariant face images. The proposed method is strongly robust to Gaussian white noise. Experimental results show that our proposed algorithm outperforms several existing methods on the Extended Yale Face Database B and the CMU-PIE face database.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2022, 12, 3; 169--180
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Detecting anomalies in advertising web traffic with the use of the variational autoencoder
Autorzy:
Gabryel, Marcin
Lada, Dawid
Filutowicz, Zbigniew
Patora-Wysocka, Zofia
Kisiel-Dorohinicki, Marek
Chen, Guang Yi
Powiązania:
https://bibliotekanauki.pl/articles/2147149.pdf
Data publikacji:
2022
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
anomaly detection
web traffic
ad fraud
variational autoencoder
Opis:
This paper presents a neural network model for identifying non-human traffic to a website, which is significantly different from visits made by regular users. Such visits are undesirable from the point of view of the website owner as they are not human activity, and therefore do not bring any value, and, what is more, most often involve costs incurred in connection with the handling of advertising. They are made most often by dishonest publishers using special software (bots) to generate profits. Bots are also used in scraping, which is automatic scanning and downloading of website content, which actually is not in the interest of website authors. The model proposed in this work is learnt by data extracted directly from the web browser during website visits. This data is acquired by using a specially prepared JavaScript that monitors the behavior of the user or bot. The appearance of a bot on a website generates parameter values that are significantly different from those collected during typical visits made by human website users. It is not possible to learn more about the software controlling the bots and to know all the data generated by them. Therefore, this paper proposes a variational autoencoder (VAE) neural network model with modifications to detect the occurrence of abnormal parameter values that deviate from data obtained from human users’ Internet traffic. The algorithm works on the basis of a popular autoencoder method for detecting anomalies, however, a number of original improvements have been implemented. In the study we used authentic data extracted from several large online stores.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2022, 12, 4; 255--266
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Dynamic characteristic study of riser with complex pre-stress distribution
Autorzy:
Chen, Luyun
Yi, Hong
Powiązania:
https://bibliotekanauki.pl/articles/962695.pdf
Data publikacji:
2019
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
complex pre-stress
top-tensioned riser (TTR)
natural frequency
mode analysis
free vibration
Opis:
In this study, the dynamic characteristic problem of riser structure with complex pre-stress distribution is investigated. At first, the differential equation of the riser structure with complex pre-stress distribution is derived. The analytical expression of the free vibration of a riser structure with complex pre-stress distribution is discussed by using the orthogonal property of the trigonometric series. A top-tensioned riser (TTR) for example, the influences of the amplitude and direction of complex pre-stress on natural frequency and mode shape characteristics are compared. This study provides a new method for addressing the riser structure response problem with complex loading.
Źródło:
Polish Maritime Research; 2019, 3; 87-97
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Peer tutoring for EFL learning: a multidimensional analysis of elementary school students
Autorzy:
Tzu-Ching Chen, Kate
Yi-Chen Tsai, Alison
Powiązania:
https://bibliotekanauki.pl/articles/2012203.pdf
Data publikacji:
2015-06-30
Wydawca:
Wydawnictwo Adam Marszałek
Tematy:
peer tutoring
EFL academic achievement
learning motivation
attitude
elementary school students
Taiwan
Opis:
This study investigated dimensions of academic performance, learning motivation and learning attitudes by adapting peer tutoring as the major EFL classroom activities in an elementary school classroom. Exams, classroom observation, exit survey and comments after each class were administered as the source of research data. Results indicated that peer tutoring has a positive effect on tutors’ and tutees’ academic performance due to the increase in students’ grades. Students’ learning motivation and attitudes toward EFL learning also increased significantly. On the whole, the use of peer tutoring significantly contributed to better English ability, motivation and attitude.
Źródło:
The New Educational Review; 2015, 40; 189-200
1732-6729
Pojawia się w:
The New Educational Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of response surface methodology to improve methane production from jerusalem artichoke straw
Autorzy:
Meng, Yan
Li, Yi
Chen, Laisheng
Han, Rui
Powiązania:
https://bibliotekanauki.pl/articles/2203117.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Jerusalem artichoke straw
anaerobic digestion
response surface methodology
methane production
topinambur
słonecznik bulwiasty
fermentacja beztlenowa
produkcja metanu
RSM
Opis:
Anaerobic digestion (AD) converts organic matter and biomass waste into biogas, making it an environmentally friendly technology to improve energy resources for a wide range of applications. Jerusalem artichoke straw (JAS) has an enriched content of cellulose and exhibits a high potential for methane production. AD-based production of methane can eff ectively utilize waste JAS. This study investigated the AD performance of JAS to explore the enhancement of methane yields by employing a Box-Behnken experimental design (BBD) of response surface methodology (RSM). The overall goal was to identify the optimal levels of pretreatment factors, including HCl concentration, pretreatment time, and pretreatment temperature, for producing optimal biomethane yields from JAS. The highest value of methane production achieved was 256.33 mL g-1VS by using an optimal concentration of HCl as 0.25 M, a pretreatment time of 10 h, and a pretreatment temperature of 25°C. These results inform the future application of JAS in enhanced methane production.
Źródło:
Archives of Environmental Protection; 2022, 48, 3; 70--79
2083-4772
2083-4810
Pojawia się w:
Archives of Environmental Protection
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Interval Prediction of Remaining Useful Life based on Convolutional Auto-Encode and Lower Upper Bound Estimation
Autorzy:
Lyu, Yi
Zhang, Qichen
Chen, Aiguo
Wen, Zhenfei
Powiązania:
https://bibliotekanauki.pl/articles/24200839.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
remaining useful life
lower upper bound estimation
Long Short-Term Memory
prediction interval
Opis:
Deep learning is widely used in remaining useful life (RUL) prediction because it does not require prior knowledge and has strong nonlinear fitting ability. However, most of the existing prediction methods are point prediction. In practical engineering applications, confidence interval of RUL prediction is more important for maintenance strategies. This paper proposes an interval prediction model based on Long Short-Term Memory (LSTM) and lower upper bound estimation (LUBE) for RUL prediction. First, convolutional auto-encode network is used to encode the multi-dimensional sensor data into one-dimensional features, which can well represent the main degradation trend. Then, the features are input into the prediction framework composed of LSTM and LUBE for RUL interval prediction, which effectively solves the defect that the traditional LUBE network cannot analyze the internal time dependence of time series. In the experiment section, a case study is conducted using the turbofan engine data set CMAPSS, and the advantage is validated by carrying out a comparison with other methods.
Źródło:
Eksploatacja i Niezawodność; 2023, 25, 2; art. no. 165811
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Remaining useful life prediction with insufficient degradation data based on deep learning approach
Autorzy:
Lyu, Yi
Jiang, Yijie
Zhang, Qichen
Chen, Ci
Powiązania:
https://bibliotekanauki.pl/articles/2038109.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
deep learning
remaining useful life
degradation data
data amplification
cycle-consistent generative adversarial network
Opis:
Remaining useful life (RUL) prediction plays a crucial role in decision-making in conditionbased maintenance for preventing catastrophic field failure. For degradation-failed products, the data of performance deterioration process are the key for lifetime estimation. Deep learning has been proved to have excellent performance in RUL prediction given that the degradation data are sufficiently large. However, in some applications, the degradation data are insufficient, under which how to improve the prediction accuracy is yet a challenging problem. To tackle such a challenge, we propose a novel deep learning-based RUL prediction framework by amplifying the degradation dataset. Specifically, we leverage the cycle-consistent generative adversarial network to generate the synthetic data, based on which the original degradation dataset is amplified so that the data characteristics hidden in the sample space could be captured. Moreover, the sliding time window strategy and deep bidirectional long short-term memory network are employed to complete the RUL prediction framework. We show the effectiveness of the proposed method by running it on the turbine engine data set from the National Aeronautics and Space Administration. The comparative experiments show that our method outperforms a case without the use of the synthetically generated data.
Źródło:
Eksploatacja i Niezawodność; 2021, 23, 4; 745-756
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Comparison and Analysis of Magnetic-Geared Permanent Magnet Electrical Machine at No-Load
Autorzy:
Liu, X.
Chen, D.
Yi, L.
Zhang, Ch.
Wang, M.
Powiązania:
https://bibliotekanauki.pl/articles/140663.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
magnetic gear
MGPM electrical machine
quantitative comparison
finite element analysis
no load
Opis:
Magnetic-geared permanent magnet (MGPM) electrical machine is a new type of machine by incorporating magnetic gear into PM electrical machine, and it may be in operation with low-speed, high-torque and direct-driven. In this paper, three types of MGPM machines are present, and a quantitative comparison among them is performed by finite element analysis (FEA). The magnetic field distribution, stable torque and back EMF are obtained at no-load. The results show that three types of MGPM machine are suitable for different application fields respectively according to their own advantages, such as high torque and back EMF, which form an important foundation for MGPM electrical machine research.
Źródło:
Archives of Electrical Engineering; 2014, 63, 4; 683-692
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Non-contact harmonic detection of ferromagnetic material defects based on SQGSR and OPLTF
Autorzy:
Zhao, Yizhen
Wang, Xinhua
Chen, Yingchun
Ju, Haiyang
Shuai, Yi
Powiązania:
https://bibliotekanauki.pl/articles/1848986.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
harmonic detection
ferromagnetic materials defects
focusing vector array
signal extraction algorithm
Opis:
In order to find the defects in ferromagnetic materials, a non-contact harmonic detection method is proposed. According to the principle of frequency modulated carrier wave, a tunnel magneto resistance harmonic focusing vector array detector was designed which radiates lower and higher frequency electromagnetic waves through the coil array to the detection targets. We use bistable stochastic resonance to enhance the energy of collected weak target signal and apply quantum computation and a Sobol low deviation sequence to improve genetic algorithm performance. Then we use the orthogonal phase-locked loop to eliminate the intrinsic background excitation field and tensor calculations to fuse the vector array signal. The finite element model of array detector and the magnetic dipole harmonic numerical model were also established. The simulation results show that the target signal can be identified effectively, its focusing performance is improved by 2 times, and the average signal-to-noise ratio is improved by 9.6 times after the algorithm processing. For the experiments, we take Q235 steel pipeline as the object to realize the recognition of three defects. Compared with the traditional methods, the proposed method is more effective for ferromagnetic materials defects detection.
Źródło:
Metrology and Measurement Systems; 2021, 28, 1; 55-72
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Digital watermarking scheme based on curvelet transform and multiple chaotic maps
Autorzy:
Xiao, Yi
Xu, Ya-Chen
Zhou, Nan-Run
Lin, Zhen-Rong
Powiązania:
https://bibliotekanauki.pl/articles/27310097.pdf
Data publikacji:
2023
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
digital watermarking
curvelet transform
multiple chaotic map
Opis:
The rapid development of digital products brings security issues. Digital watermarking technology is an important means to handle these problems. To enhance the imperceptibility of watermark and locate the possible tampering as well, a digital watermarking scheme based on curvelet transform is presented by combining with multiple chaotic maps. The host image is decomposed into three parts, i.e., coarse layer, detail layer and fine layer, with curvelet transform, and a robust watermark is embedded into the coarse layer for copyright protection of digital products. In addition, an authentication watermark is embedded into the fine layer to detect and locate the illegal changes. Simulation results show that the proposed digital watermarking scheme possesses acceptable robustness and security.
Źródło:
Optica Applicata; 2023, 53, 2; 291--305
0078-5466
1899-7015
Pojawia się w:
Optica Applicata
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Characterization of Phyllosticta hostae causing Phyllosticta leaf spot on spider lily in China
Autorzy:
Yi, R.H.
Gan, L.J.
Chen, J.
Xu, X.L.
Powiązania:
https://bibliotekanauki.pl/articles/66837.pdf
Data publikacji:
2015
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Phyllosticta hostae
leaf spot
plant disease
spider lily
Hymenocallis littoralis
tropical plant
herb
China
Opis:
Leaf spot disease on the spider lily [Hymenocallis littoralis (Jacq.) Salisb.] continues to cause serious problems in China. To confirm the pathogen, the pathogenicity of isolates from diseased leaves was tested according to Koch’s postulates. The isolates were tentatively identified using morphological characteristics and confirmation was done by phylogenetic analysis of the translation elongation factor 1-alpha gene (TEF1), the actin gene (ACT), and internal transcibed spacer (ITS) sequences using neighbor-joining (NJ), maximum parsimony (MP), and Bayesian inference (BI) methods. The pathogen was identified as Phyllosticta hostae. Molecular analysis indicated very little diversity in the TEF1, ACT, and ITS gene. This is the first report of P. hostae causing leaf spot disease on spider lily in China.
Źródło:
Journal of Plant Protection Research; 2015, 55, 4
1427-4345
Pojawia się w:
Journal of Plant Protection Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Facile synthesis and characterization of zinc tetranitro phthalocyanine-MWCNTs nanocomposites with efficient visible-light-driven photocatalytic activity
Autorzy:
Wan, Yi
Chen, Shuang
Wang, Guanqiu
Liang, Qian
Li, Zhongyu
Xu, Song
Powiązania:
https://bibliotekanauki.pl/articles/1158623.pdf
Data publikacji:
2016-09
Wydawca:
Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:
78.67.Bf
81.05.Zx
81.07.Pr
Opis:
Novel zinc tetranitro-phthalocyanine (ZnTNPc) supported by multi-walled carbon nanotubes hybrid composites were facilely prepared by a method of ultrasonic impregnation and their photocatalysis behavior was studied. The as-prepared ZnTNPc-MWCNTs composites were characterized by scanning electron microscopy, X-ray diffraction, diffuse reflectance spectra, transmission electron microscopy, thermogravimetric analysis, and the Fourier transform infrared spectra. The results showed that the ZnTNPc was not only grown on the multi-walled carbon nanotubes but also uniformly disturbed without aggregation. Compared with pure ZnTNPc and MWCNTs, ZnTNPc-MWCNTs nanocomposites presented a significantly enhanced photocatalytic activity for the degradation of rhodamine B under visible-light irradiation. Furthermore, a possible mechanism for the photodegradation of rhodamine B was also proposed.
Źródło:
Acta Physica Polonica A; 2016, 130, 3; 785-790
0587-4246
1898-794X
Pojawia się w:
Acta Physica Polonica A
Dostawca treści:
Biblioteka Nauki
Artykuł
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