Finite Element Analysis of Influence of Non-homogenous Temperature Field on Designed Lifetime of Spatial Structural Elements under Creep Conditions

Pyskunov, Serhii; Maksimyk, Yu.V.; Валер, В В

doi:10.21042/amns.2016.1.00020

Cited by 13 publications

(5 citation statements)

References 14 publications

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“…The symmetrically encrypted digital watermarking image (RGBE coding) provided by Munsell Color Science Laboratory of Rochester Institute of Technology University and the symmetrically encrypted digital watermarking image provided by Industrial Light and Magie Company are used in the experiment [20]. The visual quality of symmetrically encrypted digital watermarking image after lossy compression is measured based on root-mean-square error.…”

Section: Digital Watermarking Image Compression Detection Based On Symentioning

confidence: 99%

Digital Watermarking Image Compression Method Based on Symmetric Encryption Algorithms

Tan

Zhao

2019

Symmetry

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A digital watermarking image compression method based on symmetrical encryption algorithm is proposed in this study. First, the original image and scrambled watermarking image are processed by wavelet transform, and then the watermarking image processed by the Arnold replacement method is transformed into a meaningless image in the time domain to achieve the effect of encryption. Watermarking is generated by embedding the watermarking image into the important coefficients of the wavelet transform. As an inverse process of watermarking embedding, watermarking extraction needs to be reconstructed by the wavelet transform. Finally, the watermarking is extracted from the inverse scrambled watermarking image, and a new symmetrically encrypted digital watermarking image is obtained. The compression method compresses the embedded digital watermarking image, so that the volume of the compressed watermarking image is greatly reduced when the visual difference is very small. The experimental results show that the watermarking image encrypted by this method not only has good transparency, but also has strong anti-brightness/contrast attack, anti-shearing, and anti-noise performance. When the volume of the compressed image is greatly reduced, the root mean square error and visual difference measurement of the watermarking image are very small.

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Section: Digital Watermarking Image Compression Detection Based On Symentioning

confidence: 99%

Digital Watermarking Image Compression Method Based on Symmetric Encryption Algorithms

Tan

Zhao

2019

Symmetry

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“…Each feature set is handled di erently. When the source network segment exit tra c is to be stored, the cosine is required to set the column number of each network segment in the matrix [15][16][17][18][19][20][21]. Let the network segments A, B, and C correspond to the rst, second and third column in the matrix respectively.…”

Section: Temporal Correlation Judgmentmentioning

confidence: 99%

Localization and recognition algorithm for fuzzy anomaly data in big data networks

Zhang¹,

Zhang²,

Hanafiah³

2018

Open Physics

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In order to accurately detect the fuzzy anomaly data existing in big data networks, it is necessary to study the localization and recognition algorithm. The current algorithms have problems related to poor noise reduction, low recognition efficiency, high energy consumption and low accuracy. A novel localization and recognition algorithm for fuzzy anomaly data in big data networks is proposed. The multi-wavelet denoising method is used to remove the noise signals existing in the network. The k-means algorithm is utilized for network clustering, and the association mode between nodes and the unitary linearity regression model is adopted to eliminate spatially and temporally redundant data that exist in big data networks. The similarity anomaly detection method based on multi-feature aggregation identifies fuzzy anomaly data existing in big data networks, establishes an anomaly data localization model, and completes the localization and recognition of fuzzy anomaly data. Experimental results show that the proposed method has good noise reduction, high recognition efficiency, low energy consumption and high accuracy of localization and recognition.

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“…As early as 1949, Kuznets pointed out that the growth of national income and industrial structure were related to each other [30][31][32]. Therefore, the adjustment for the national economy needs to be carried out from the two aspects of the total amount and structure.…”

Section: Suggestions For Tourism Developmentmentioning

confidence: 99%

Expanded Study on the accumulation effect of tourism under the constraint of structure

2017

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There is a mutual influence between departmental structure and accumulation and growth. Therefore, the accumulation and growth of the tourism industry will be subject to certain restrictions on the industrial structure, and, conversely, it will have an impact on the existing industrial structure. Li Jingyi reported special research in the paper called "Research on tourism growth based on structural constraints" about the relationship between the growth of tourism and the existing industrial structure. It pointed out the specific interdependence between tourism and other economic sectors in terms of accumulation and growth. However, the research of Li Jingyi is based on the trichotomy of social product value. It is too abstract, while the study is understandable in theory. In practice, it is difficult to use the model of the paper to deal with specific problems. Therefore, how to improve the industry association model in the paper of Li and make it more in line with the actual situation becomes our concern. In this paper, the author hopes to improve the model of Li's paper by simplifying the decomposition of social product value. At the same time, it makes a further study on accumulation elasticity and growth elasticity. On this basis, some suggestions are put forward to guide the development of other industries based on the tourism industry.

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Finite Element Analysis of Influence of Non-homogenous Temperature Field on Designed Lifetime of Spatial Structural Elements under Creep Conditions

Cited by 13 publications

References 14 publications

Digital Watermarking Image Compression Method Based on Symmetric Encryption Algorithms

Digital Watermarking Image Compression Method Based on Symmetric Encryption Algorithms

Localization and recognition algorithm for fuzzy anomaly data in big data networks

Expanded Study on the accumulation effect of tourism under the constraint of structure

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