Autor: Yang, Xin - Prolib Integro

Skocz do pozycji: 1.

Tytuł:: New far-field extrapolation method for the computation of electric fields
Autorzy:: Yang, Xin
Tematy:: far-field extrapolation
Stratton-Chu formula
Gauss's law; Pokaż więcej
Wydawca:: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Powiązania:: https://bibliotekanauki.pl/articles/2033961.pdf Link otwiera się w nowym oknie
Opis:: The extrapolation of the electric field is studied theoretically both in frequency domain and time domain. Combining Gauss’s law with the approximation method in engineering, two new formulas for the scattering field calculation are derived from different logical ideas based on Stratton-Chu formula. The consistency property of the derived formulas is investigated, and the third formula for the scattering field calculation is further obtained. Finally, the time-domain extrapolation is discussed based on the formulas, followed by a simple numerical example. The results obtained are characterized by a simple form and intuitive physical meaning, and are helpful to calculate certain engineering problems.
Dostawca treści:: Biblioteka Nauki

Artykuł

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Skocz do pozycji: 2.

Tytuł:: Deep networks for image super-resolution using hierarchical features
Autorzy:: Yang, Xin
Zhang, Yifan
Zhou, Dake
Tematy:: super-resolution
convolutional neural network
sub-pixel convolutional neural network
densely connected neural networks
super rozdzielczość
splotowa sieć neuronowa
subpikselowa splotowa sieć neuronowa
gęsto połączone sieci neuronowe; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:: https://bibliotekanauki.pl/articles/2173634.pdf Link otwiera się w nowym oknie
Opis:: To better extract feature maps from low-resolution (LR) images and recover high-frequency information in the high-resolution (HR) images in image super-resolution (SR), we propose in this paper a new SR algorithm based on a deep convolutional neural network (CNN). The network structure is composed of the feature extraction part and the reconstruction part. The extraction network extracts the feature maps of LR images and uses the sub-pixel convolutional neural network as the up-sampling operator. Skip connection, densely connected neural networks and feature map fusion are used to extract information from hierarchical feature maps at the end of the network, which can effectively reduce the dimension of the feature maps. In the reconstruction network, we add a 3×3 convolution layer based on the original sub-pixel convolution layer, which can allow the reconstruction network to have better nonlinear mapping ability. The experiments show that the algorithm results in a significant improvement in PSNR, SSIM, and human visual effects as compared with some state-of-the-art algorithms based on deep learning.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Ultrafiltration treatment of wastewater contained heavy metals complexed with palygorskite
Autorzy:: Ren, Jun
Cao, Tiany
Yang, Xin
Tao, Ling
Tematy:: palygorskite
heavy metals
ultraﬁltration
complexation
pH
ionic strength; Pokaż więcej
Wydawca:: Zachodniopomorski Uniwersytet Technologiczny w Szczecinie. Wydawnictwo Uczelniane ZUT w Szczecinie
Powiązania:: https://bibliotekanauki.pl/articles/778555.pdf Link otwiera się w nowym oknie
Opis:: Palygorskite was applied in complexation-ultrafiltration treatment of heavy metals in wastewater under different pH and ionic strength. The results indicated that the rejection of heavy metals increased significantly with pH value, and decreased slightly with an increase of ionic strength of Na⁺ and Cl^-. A certain concentration of NaCl significantly reduced the rejection rate of Cu²⁺. The rejection of Cu²⁺, Zn²⁺ and Cd²⁺ could reach over 86.8%, 93.6% and 93.7% at pH of 7 and 0.1 mol/L NaCl. The rejection of heavy metals was severely affected by low molecular weight competing complexing agents and the effect of sodium tartrate was greater than triethanolamine. In the presence of sodium tartrate, the rejection of Cu²⁺, Zn²⁺ and Cd²⁺ could arrive over 81.4%, 57.6% and 60.5% at pH of 7 in 20 min. Palygorskite was offered a potential complexing agent for the removal of heavy metals in wastewater at the complexation-ultrafiltration process.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Dynamic grouping maintenance optimization by considering the probabilistic remaining useful life prediction of multiple equipment
Autorzy:: Cao, Xiangang
Shi, Xinyu
Zhao, Jiangbin
Duan, Yong
Yang, Xin
Tematy:: long short term memory
probabilistic remaining useful life prediction
Variational Auto-Encoder
Dynamic grouping maintenance
gazelle optimization algorithm; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Powiązania:: https://bibliotekanauki.pl/articles/59112766.pdf Link otwiera się w nowym oknie
Opis:: For multi-equipment maintenance of modern production equipment, the economic correlation and degradation uncertainty may lead to insufficient or excessive maintenance, increasing maintenance costs. This paper proposes a dynamic grouping maintenance method based on probabilistic remaining useful life (RUL) prediction for multiple equipment. Long short term memory (LSTM) is developed to predict the equipment probability RUL by the Variational Auto-Encoder (VAE) resampling. Then, the dynamic grouping maintenance model is constructed to minimize the maintenance cost rate under the known probabilistic RUL information. The gazelle optimization algorithm (GOA) is used to determine the optimal maintenance time for each equipment. To better verify the effectiveness of the proposed method, a numerical case with six wind turbines is introduced to analyse the performance of GOA. Moreover, the advantages of dynamic grouping maintenance is verified by comparing with independent maintenance, whose maintenance cost rate is reduced by 10.01%.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Simulation Evaluation Method for Fusion Characteristics of the Optical Camouflage Pattern
Metoda oceny symulacji charakterystyk wzoru kamuflażu optycznego
Autorzy:: Yang, Xin
Xu, Wei-Dong
Liu, Jun
Jia, Qi
Zhu, Wan-Nian
Tematy:: camouflage pattern evaluation
effect evaluation
sampling statistics
visual feature
kamuflaż
efekt oddziaływania
próbkowanie
funkcja wizualna; Pokaż więcej
Wydawca:: Sieć Badawcza Łukasiewicz - Instytut Biopolimerów i Włókien Chemicznych
Powiązania:: https://bibliotekanauki.pl/articles/1419455.pdf Link otwiera się w nowym oknie
Opis:: A comprehensive evaluation system for a camouflage design combining local effect evaluation and global sampling is developed. Different from previous models, this method can sample and evaluate target camouflage in a wide range of combat areas, thereby obtaining a comprehensive evaluation effect. In evaluating local effects, the Gaussian pyramid model is adopted to decompose the image on a multi-scale so that it can conform to the multi-resolution property of human eyes. The Universal Image Quality Index (UIQI) conforming to features of eye movements is then adopted to measure the similarities between multi-scale targeted and background brightness, color and textural features. In terms of the imitation camouflage pattern design algorithm, uniform sampling is used to obtain the evaluation distribution in the background; while for the deformation camouflage pattern, the sampling distribution is improved to make it conform to the movement rule of the target in the background. The evaluation results of the model for different designs were investigated. It is suggested by the experimental results that the model can compare and evaluate the indicators involved in the process of camouflage design, including integration, polychromatic adaptability and algorithm stability. This method can be applied in the evaluation and contrast of camouflage pattern design algorithms, in parameter optimisation of camouflage design and in scheme comparison in engineering practice, and can provide support of evaluation methodology for camouflage design theories.
W pracy opracowano kompleksowy system oceny projektu kamuflażu, łączący ocenę efektu lokalnego i próbkowanie globalne. W odróżnieniu od poprzednich modeli, ta metoda może próbkować i oceniać kamuflaż celu w szerokim zakresie obszarów walki, uzyskując w ten sposób kompleksowy efekt oceny. Oceniając efekty lokalne, przyjęto model piramidy Gaussa w celu dekompozycji obrazu w wielu skalach, tak aby mógł on być zgodny z właściwościami i rozdzielczością ludzkiego oka. Następnie przyjęto uniwersalny wskaźnik jakości obrazu (UIQI) zgodny z cechami ruchów oczu, tak aby zmierzyć podobieństwa między celowaniem w wielu skalach a jasnością tła, kolorem i cechami tekstury. Jeśli chodzi o algorytm projektowania imitacji wzoru kamuflażu, w celu uzyskania rozkładu oceny w tle zastosowano jednolite próbkowanie; podczas gdy w przypadku wzoru kamuflażu deformacji poprawiono rozkład próbkowania, tak aby był zgodny z regułą ruchu celu w tle. Zbadano wyniki oceny modelu dla różnych projektów. Wyniki eksperymentów wykazały, że model może służyć do porównania i oceny wskaźników procesu projektowania kamuflażu, w tym integrację, polichromatyczną adaptowalność i stabilność algorytmu. Metoda przedstawiona w pracy może znaleźć zastosowanie w ocenie algorytmów projektowania wzorów kamuflażu, w optymalizacji parametrów projektowania kamuflażu i przy porównywaniu schematów w praktyce inżynierskiej, a także może stanowić wsparcie dla metodologii oceny teorii projektowania kamuflażu.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Camouflage Assessments with Digital Pattern Painting Based on the Multi-Scale Pattern-in-Picture Evaluation Model
Autorzy:: Jia, Qi
Xu, Weidong
Yi, Yang
Liu, Jun
Hu, Jianghua
Zhu, Liyan
Yang, Xin
Tematy:: computer-aided
camouflage assessment
pattern painting
evaluation
simulation
military camouflage; Pokaż więcej
Wydawca:: Sieć Badawcza Łukasiewicz - Instytut Biopolimerów i Włókien Chemicznych
Powiązania:: https://bibliotekanauki.pl/articles/24200962.pdf Link otwiera się w nowym oknie
Opis:: In general, traditional evaluations of target camouflage effects are usually conducted based on observational data and general results of statistical analysis. This widely applied methodology quantifies the detection and identification probabilities of camouflage objects but has considerable shortcomings. This data evaluation process is laborious and time-consuming and very low in reproducibility, which sheds light on the necessity of developing a more efficient method in this study field. The growth of computeraided image processing technology provides technical support for camouflage effect evaluation based on digital image processing. Digital pattern painting, which has been previously applied to combat utility uniforms, is a new methodology full of potential due to its broad geographical adaptability. This study proposes a multi-scale pattern-in-picture method to evaluate camouflage effects at different distances. We also established a computer-aided background image library and camouflage assessments with digital simulation and created an evaluation system that could be effectively applied to combat utility uniforms. More than 40 testers participated in this study, who were asked to score the designed camouflage schemes using the evaluation system proposed. The data from simulation assessments and individual evaluations show that the computer-aided simulation assessments conducted as part of this research can efficiently and objectively evaluate the camouflage effect on military objects.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: Camouflage Assessments with Digital Pattern Painting Based on the Multi-Scale Pattern-in-Picture Evaluation Model
Autorzy:: Yi ,Yang
Hu, Jianghua
Liu, Jun
Yang, Xin
Zhu, Liyan
Xu, Weidong
Jia, Qi
Wydawca:: Sciendo
Cytata wydawnicza:: Jia Q, Xu W, Yi Y, Liu J, Hu J, Zhu L, Yang X. Camouflage Assessments with Digital Pattern Painting Based on the Multi-Scale Pattern-in-Picture Evaluation Model. Fibres & Textiles in Eastern Europe. Sciendo, 2023;31}(2): 39-50. https://doi.org/10.2478/ftee-2023-0014
Opis:: This research is supported by Jiangsu Provincial Natural Science Foundation (Grant No.BK20180579), Equipment Pre-research Key Laboratory Fund (Grant No.614220602010517).
In general, traditional evaluations of target camouflage effects are usually conducted based on observational data and general results of statistical analysis. This widely applied methodology quantifies the detection and identification probabilities of camouflage objects but has considerable shortcomings. This data evaluation process is laborious and time-consuming and very low in reproducibility, which sheds light on the necessity of developing a more efficient method in this study field. The growth of computer-aided image processing technology provides technical support for camouflage effect evaluation based on digital image processing. Digital pattern painting, which has been previously applied to combat utility uniforms, is a new methodology full of potential due to its broad geographical adaptability. This study proposes a multi-scale pattern-in-picture method to evaluate camouflage effects at different distances. We also established a computer-aided background image library and camouflage assessments with digital simulation and created an evaluation system that could be effectively applied to combat utility uniforms. More than 40 testers participated in this study, who were asked to score the designed camouflage schemes using the evaluation system proposed. The data from simulation assessments and individual evaluations show that the computer-aided simulation assessments conducted as part of this research can efficiently and objectively evaluate the camouflage effect on military objects.
Dostawca treści:: Repozytorium Centrum Otwartej Nauki

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Skocz do pozycji: 8.

Tytuł:: Improved Prediction of Polar Motions by Piecewise Parameterization
Autorzy:: Wu, Yuanwei
Zhao, Xin
Yang, Xinyu
Tematy:: earth rotation prediction
effective angular momentum functions
AAM
OAM; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Centrum Badań Kosmicznych PAN
Powiązania:: https://bibliotekanauki.pl/articles/2174948.pdf Link otwiera się w nowym oknie
Opis:: Natioinal Time Service Center of Chinese Academy of Sciences, Lintong, Shaanxi, China e-mail: yuanwei.wu@ntsc.ac.cn ABSTRACT. On seanonal timescale, the variation of Earth rotation is mainly regulated by angular momentum exchanges between the solid Earth and the fluidal atmosphere, ocean and hydrosphere. In the 2nd EOP PCC, we developed Dill2019’s method for polar motion prediction, using piecewise autoagressive parameters. The maximum prediction errors within 90 days are 36 and 16 mas for polar motion x and y components, respectively. Compared with Bulletin A, the mean absolute error of polar motion y prediction is improved by 20% in all timescale, and with a maximum improvement of 49% on the 5th day. Whereas, for polar motion x, the performance is slightly better (2% - 8%) within 30 days but worse (−7%∼ −19%) within 30∼90 days. We found that the prediction accuracy is very sensitive to the quality of the angular momentum data. For example, on average, the prediction of polar motion y is around 2 times better than polar motion x. In addition, we found the accuracy of 30-90 days prediction is dramatically decreased in the year 2020. We suspect that such deterioration might be due to the pandemic of coronavirus COVID-19, which suppressed global airline activities by more than 60%, then result in a lose of air-borne meteorological data, which are important for weather forecast.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 9.

Tytuł:: To which world regions does the valence–dominance model of social perception apply?
Autorzy:: Chandel, Priyanka
Aczel, Balazs
Tamnes, Christian K.
Sverdrup, Therese E.
Álvarez-Solas, Sara
De La Rosa-Gómez, Anabel
Coetzee, Vinet
Stephen, Ian D.
Vadillo, Miguel A.
Kocsor, Ferenc
Pronizius, Ekaterina
Kačmár, Pavol
Stern, Julia
Leonis, Trinity
Polo, Pablo
Ścigała, Karolina A.
Borras-Guevara, Martha Lucia
Brandt, Mark J.
Cubillas, Carmelo P.
Owsley, Nicholas C.
Vanpaemel, Wolf
Hu, Chuan-Peng
Jones, Benedict C.
Turiegano, Enrique
Włodarczyk, Anna
Pinto, Isabel R.
Barzykowski, Krystian
Oh, Dong Won
Hsu, Tsuyueh
Parganiha, Arti
Hatami, Javad
Chevallier, Coralie
Tressoldi, Patrizio
Ferreira, Paulo
Baník, Gabriel
Vianello, Michelangelo
Uittenhove, Kim
Hoyer, Karlijn
Burin, Debora I.
Mac Giolla, Erik
Sirota, Miroslav
Vergauwe, Evie
Stieger, Stefan
Varella, Marco A. C.
Gilead, Michael
Schmid, Irina
Urry, Heather L.
Szecsi, Peter
Philipp, Michael C.
Dixson, Barnaby J. W.
Rule, Nicholas O.
Koehn, Monica A.
Parveen, Noorshama
Storage, Daniel
Munoz-Reyes, Jose Antonio
Gardiner, Gwendolyn
Batres, Carlota
Wang, Hsiao-Hsin
Protzko, John
Sleegers, Willem W. A.
Sarda, Elisa
Nielsen, Tonje K.
Dunham, Yarrow
Peters, Kim
Mburu, Georgina
Stolier, Ryan M.
Blake, Khandis R.
Carvalho, Lilian
Singh, Margaret M.
Monajem, Arash
Dalla Rosa, Anna
Tiantian, Dong
Wu, Qi
Jaworska, Katarzyna
Özdogru, Asil A.
Suchow, Jordan W.
Pati, Atanu Kumar
McCarthy, Randy J.
Wagemans, Fieke M. A.
Ropovik, Ivan
Lima, Tiago J. S.
Flake, Jessica K.
González-Santoyo, Isaac
Weissgerber, Sophia C.
Badidi, Touhami
Voracek, Martin
Okan, Ceylan
Qi, Yue
Karaaslan, Aslan
Golik, Karolina
Chen, Sau-Chin
Nicholas A. Coles
Arinze, Nwadiogo C.
Sloane, Guyan V.
Antfolk, Jan
Thorstenson, Christopher A.
Wilson, John P.
Flowe, Heather D.
Alaei, Ravin
Chartier, Christopher R.
Steffens, Niklas K.
Basnight-Brown, Dana M.
Jernsäther, Teodor
Valentova, Jaroslava V.
Santos, Diana
Lewis, Savannah C.
Ren, Dongning
Ndukaihe, Izuchukwu L. G.
Evans, Thomas R.
Olsen, Jerome
Kujur, Pratibha
Oldmeadow, Julian A.
Azouaghe, Soufian
Lamm, Claus
Manley, Harry
Lee, Ai-Suan
Belhaj, Abdelkarim
Fernandez, Ana Maria
DeBruine, Lisa M.
Inzlicht, Michael
Corral-Frías, Nadia S.
van Zyl, Casper J. J.
Schei, Vidar
Lin, Hause
Arnal, Jack D.
Chatard, Armand
Alper, Sinan
Lutz, Johannes
Ritchie, Kay L.
Pfuhl, Gerit
Bonick, Judson
Foroni, Francesco
Willis, Megan L.
Hahn, Amanda C.
Barba-Sánchez, Alan E.
Kruse, Elliott
Levitan, Carmel A.
Legate, Nicole
Papadatou-Pastou, Marietta
Liuzza, Marco Tullio
Thirkettle, Martin
Stevens, Laura M.
Taephant, Nattasuda
Pande, Babita
Anne, Michele
Ribeiro, Gianni
Marcu, Gabriela M.
Calvillo, Dustin P.
Miller, Jeremy K.
Pradhan, Sraddha
Sánchez, Oscar R.
White, David
Vaughn, Leigh Ann
Jaeger, Bastian
Danvers, Alexander F.
Tan, Kok Wei
Feinberg, David R.
Freeman, Jonathan B.
Armstrong, Marie M.
Jzerman, Hans I.
Kapucu, Aycan
Jiang, Zhongqing
Körner, Anita
Zettler, Ingo
Ashworth, Logan F.
Gordon-Finlayson, Alasdair R.
Adamkovic, Matus
Mues, Chiel
Kovic, Vanja
Frohlich, Brooke
Kaminski, Gwenaël
Irrazabal, Natalia
Hehman, Eric
Beaudry, Jennifer L.
Jang, Chaning
Christopherson, Cody D.
Bennett-Day, Brooke
Gilboa-Schechtman, Eva
Lee, Kean Mun
Sharifian, MohammadHasan
Jun Cai, Sun
Bavolar, Jozef
Akgoz, Aysegul
Putz, Ádám
Zakharov, Ilya
Gülgöz, Sami
Saunders, Blair
Frías-Armenta, Martha
Michalak, Nicholas M.
Baskin, Ernest
Andreychik, Michael
Musser, Erica D.
O’Mara Kunz, Erin M.
Tan, Chrystalle B. Y.
Zickfeld, Janis H.
Hsu, Rafael M. C. S.
Hajdu, Nandor
Artner, Richard
Valderrama, Eugenio
Lins, Samuel
Forscher, Patrick S.
Leongómez, Juan David
Bloxsom, Nicholas G.
Gogan, Taylor D.
Vásquez-Amézquita, Milena
Janssen, Steve M. J.
Shiramazu, Victor K. M.
Kozma, Luca
Chopik, William J.
Babincak, Peter
Liu, Qing-Lan
Saribay, S. Adil
Colloff, Melissa F.
Simchon, Almog
Lu, Jackson G.
Wissink, Joeri
Olofsson, Jonas K.
Ask, Karl
Lindemans, Jan W.
Gill, Tripat
Neyroud, Lison
Yan, Wen-Jing
Elouafa, Jamal
Schild, Christoph
Vally, Zahir
Ruiz-Dodobara, Fernando
Kung, Chun-Chia
Crawford, Matthew T.
Yang, Xin
Cook, Corey L.
Balas, Benjamin
Floerke, Victoria A.
Xie, Sally Y.
Van der Linden, Nicolas
Seehuus, Martin
Suavansri, Panita
Ariyabuddhiphongs, Kris
Schmidt, Kathleen
Boudesseul, Jordane
Sampaio, Waldir
Jarukasemthawee, Somboon
Dostawca treści:: Repozytorium Uniwersytetu Jagiellońskiego

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Skocz do pozycji: 10.

Tytuł:: Mission reliability–centered maintenance approach based on quality stochastic flow network for multistate manufacturing systems
Autorzy:: Yang, Xiuzhen
He, Yihai
Zhou, Di
Zheng, Xin
Tematy:: manufacturing system
reliability centered maintenance
RCM
mission reliability
maintenance quality
quality stochastic flow network; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Powiązania:: https://bibliotekanauki.pl/articles/2172030.pdf Link otwiera się w nowym oknie
Opis:: Previous studies of reliability centered maintenance (RCM) rarely consider the maintenance quality for the operation condition monitoring of manufacturing system. Therefore, a quality-oriented maintenance approach for the multistate manufacturing system with the aid of mission reliability is proposed. First, connotations of the mission reliability and maintenance quality of the multistate manufacturing system are expounded on the basis of the operational mechanism. Second, a quality stochastic flow network (QSFN) model of the multistate manufacturing system is established, and a novel mission reliability model is presented. Third, a quality-oriented mission reliability–centered maintenance framework for multistate manufacturing systems is proposed, and the optimal integrated maintenance strategy is obtained by minimizing the total cost. Finally, an industrial example of subway flow receiver is presented to verify the proposed method. Results show that the proposed method can simultaneously balance the maintenance cost and maintenance quality of the multistate manufacturing system.
Dostawca treści:: Biblioteka Nauki

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