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Wyświetlanie 1-4 z 4
Tytuł:
Compressed optical image encryption in the diffractive-imaging-based scheme by input plane and output plane random sampling
Autorzy:
Wan, Shujia
Gong, Qiong
Wang, Hongjuan
Ma, Shibang
Qin, Yi
Powiązania:
https://bibliotekanauki.pl/articles/2060687.pdf
Data publikacji:
2022
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
diffractive-imaging-based encryption
compressive sensing
random sampling
Opis:
The successful recovery of the plaintext in the simplified diffractive-imaging-based encryption (S-DIBE) scheme needs to record one intact axial intensity map as the ciphertext. By aid of compressive sensing, we propose here a new image encryption approach, referred to as compressed DIBE (C-DIBE), which allows further compression of the intensity map. The plaintext is sampled before being sent to DIBE. Afterwards, the intensity map recorded by the CCD camera is also processed by such sampling operation to generate the ciphertext. For decryption, we first obtain the sparse plaintext using the proposed phase retrieval algorithm, and then reobtain the primary plaintext from it via compressive sensing. Numerical results show that a proper proportion of the intensity map (e.g. 50%) is enough to totally recover a grayscale image. We achieve multiple-image encryption by space multiplexing without enlarging the size of the ciphertext. The robustness of C-DIBE against brute-force attack evidently outperforms S-DIBE due to the extended key space. Numerical simulation has been presented to confirm the proposal.
Źródło:
Optica Applicata; 2022, 52, 1; 51--66
0078-5466
1899-7015
Pojawia się w:
Optica Applicata
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Underground mine gas explosion accidents and prevention techniques – an overview
Autorzy:
Song, Wanting
Cheng, Jianwei
Wang, Wenhe
Qin, Yi
Wang, Zui
Borowski, Marek
Wang, Yue
Tukkaraja, Purushotham
Powiązania:
https://bibliotekanauki.pl/articles/1853866.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
kopalnia węgla
zabezpieczenie przeciwwybuchowe
bezpieczeństwo kopalni
coal mine explosion
explosion protection
control
overview
Opis:
Mine gas explosions present a serious safety threat in the worldwide coal mining industry. It has been considered the No.1 killer for underground coal mining workers. The formation of an explosive atmosphere involves various factors. Due to complicated stratified geology and the coal production process, geological conditions and coal production process reasons and particular working sections underground present a high risk of an explosion that would most likely cause casualties and property loss. In this study, the basic conditions, propagation law and hazards analysis of gas explosions are reviewed, followed by a review of the typical locations where an explosion would occur. Finally, current technologies used in the mining industry for preventing gas explosions and suppressing the associated dangers were studied. Preventive gas explosion technologies mainly include gas drainage, gas accumulation prevention and gas and fire source monitoring technologies. The technologies often used to control or mitigate gas explosion hazards are usually divided into active and passive, and the advantages and disadvantages of each method are discussed and compared. This paper aims to summarise the latest technologies for controlling and suppressing gas explosion and guides mining engineers to design risk mitigation strategies.
Źródło:
Archives of Mining Sciences; 2021, 66, 2; 297-312
0860-7001
Pojawia się w:
Archives of Mining Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Deep learning classification and recognition method for milling surface roughness combined with simulation data
Autorzy:
Lu, Lingli
Yi, Huaian
Shu, Aihua
Qin, Jianhua
Lu, Enhui
Powiązania:
https://bibliotekanauki.pl/articles/2203367.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
milling surface
classification
deep neural network
simulation
Opis:
To address the problem that a deep neural network needs a sufficient number of training samples to have a good prediction performance, this paper firstly used the Z-Map algorithm to generate a simulated profile of the milling surface and construct an optical simulation model of surface imaging to supplement the training sample size of the neural network. Then the Deep CORAL model was used to match the textures of the simulated samples and the actual samples across domains to solve the problem that the simulated samples were not in the same domain as the actual milling samples. Experimental results have shown that high texture matching could be achieved between optical simulation images and actual images, laying the foundation for expanding the actual milled workpiece images with the simulation images. The deep convolutional neural model Xception was used to predict the classification of six classes of data sets with the inclusion of simulation images, and the accuracy was improved from 86.48% to 92.79% compared with the model without the inclusion of simulation images. The proposed method solves the problem of the need for a large number of samples for deep neural networks and lays the foundation for similar methods to predict surface roughness for different machining processes.
Źródło:
Metrology and Measurement Systems; 2023, 30, 1; 117--138
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Preparation Process of Coating Interlayer and the Performance of EH40/2205-Clad Plate with Interlayer
Autorzy:
Feng, K.K.
Yi, Yali
Qin, Y.
Jin, Herong R.
Powiązania:
https://bibliotekanauki.pl/articles/27765059.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
element diffusion
interlayer coating
mechanical properties
numerical simulation
stainless steel-clad plate
Opis:
This study aimed to investigate the effect of different coating processes on interlayer coating using ProCAST software and identify the preferred coating process so as to prepare an EH40/2205 composite plate with a coating interlayer of Ni-5 Fe-15 Co (wt.%) displaying good performance. The preparation and characterization tests were conducted to analyze the interlayer coating, the diffusion of elements at the bonding interface and the mechanical properties of the hot-rolled composite plate. The results showed that the coating rate increased linearly with an increase in the initial coating temperature, pressure difference and the width ratio of the suction layer. The interlayer coating was complete under the guidance of optimized process parameters, and the test results and simulations confirmed each other. The coated interlayer successfully blocked the diffusion of elements between the bonding surfaces. The tensile strength of the rolled composite plate was 580 MPa, which met the needs of the project. The tensile shear fracture occurred at EH40, which proved that the plate was well bonded.
Źródło:
Archives of Metallurgy and Materials; 2023, 68, 2; 591--598
1733-3490
Pojawia się w:
Archives of Metallurgy and Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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