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Article
Publication date: 19 June 2019

Shujing Zhang, Manyu Zhang, Yujie Cui, Xingyue Liu, Bo He and Jiaxing Chen

This paper aims to propose a fast machine compression scheme, which can solve the problem of low-bandwidth transmission for underwater images.

Abstract

Purpose

This paper aims to propose a fast machine compression scheme, which can solve the problem of low-bandwidth transmission for underwater images.

Design/methodology/approach

This fast machine compression scheme mainly consists of three stages. Firstly, raw images are fed into the image pre-processing module, which is specially designed for underwater color images. Secondly, a divide-and-conquer (D&C) image compression framework is developed to divide the problem of image compression into a manageable size. And extreme learning machine (ELM) is introduced to substitute for principal component analysis (PCA), which is a traditional transform-based lossy compression algorithm. The execution time of ELM is very short, thus the authors can compress the images at a much faster speed. Finally, underwater color images can be recovered from the compressed images.

Findings

Experiment results show that the proposed scheme can not only compress the images at a much faster speed but also maintain the acceptable perceptual quality of reconstructed images.

Originality/value

This paper proposes a fast machine compression scheme, which combines the traditional PCA compression algorithm with the ELM algorithm. Moreover, a pre-processing module and a D&C image compression framework are specially designed for underwater images.

Details

Sensor Review, vol. 39 no. 4
Type: Research Article
ISSN: 0260-2288

Keywords

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Article
Publication date: 28 December 2018

Shujing Li and Nan Gao

The purpose of this paper is to explore the influence of the rise in housing prices on enterprise financing and also the sustainability and heterogeneity of this effect.

Abstract

Purpose

The purpose of this paper is to explore the influence of the rise in housing prices on enterprise financing and also the sustainability and heterogeneity of this effect.

Design/methodology/approach

Empirical test, panel data, fixed-effect model, IV and 2SLS were used in this paper.

Findings

The empirical results indicate that the mortgage effect does exist, and the authors further analyze the heterogeneity of this effect by dividing the sample based on the degree of financial development and property rights; the empirical results reveal that the mortgage effect is significantly higher in places with the high level of financial development. Besides, compared to the SOE enterprise, the mortgage effect has more influence on non-SOE companies.

Research limitations/implications

The results indicate that the mortgage effect should be considered when regulating housing market, and in order to improve the financing capability of company, its profitability and financial market efficiency should be emphasized.

Originality/value

This paper not only confirms the existence of the mortgage effect, but also explores its sustainability and heterogeneity, which reveals the risk and bubble in the effect of house market on enterprise financing, and enlightens how to promote financing ability of company.

Details

China Finance Review International, vol. 9 no. 1
Type: Research Article
ISSN: 2044-1398

Keywords

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Article
Publication date: 29 June 2012

Shujing Zhou and Beibei Yang

To overcome the problems of premature convergence and lower local search ability of the Genetic Algorithm (GA), an improved GA based on the Fish Algorithm was proposed…

Abstract

To overcome the problems of premature convergence and lower local search ability of the Genetic Algorithm (GA), an improved GA based on the Fish Algorithm was proposed. The new algorithm can speed up the optimal and the cluster behavior of the GA with the ability to overcome the local maximum. Then the improved algorithm was applied to the optimization of the reinforced concrete frame structure. The optimization model was established with the objective of minimizing the cost of beams and columns. The total cost of the structure obtained from the algorithm was compared with that obtained using the fuzzy algorithm and found to be lower. Thus the improved GA is proven to be practical and efficient when used for the optimization of frame structures.

Details

World Journal of Engineering, vol. 9 no. 3
Type: Research Article
ISSN: 1708-5284

Keywords

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