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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

Article
Publication date: 18 December 2024

Xiaobin Ren

This study aims to delve into the multidimensional structure of research motivation among master’s students in the humanities and social sciences and to develop an accurate tool…

Abstract

Purpose

This study aims to delve into the multidimensional structure of research motivation among master’s students in the humanities and social sciences and to develop an accurate tool for measuring their motivational levels.

Design/methodology/approach

This study used semistructured in-depth interviews with 21 master’s students from the humanities and social sciences. Grounded theory analysis was used to identify key dimensions of research motivation. An initial questionnaire with 24 items was developed based on the findings, which was then revised by experts and master’s students. The modified questionnaire was validated among 283 master’s students in Chinese universities. Further validation was conducted with 319 samples to assess reliability and model fit.

Findings

This study identified five key dimensions of research motivation: subjective norms, self-realization, emotional interest, social interaction and cognitive value. These dimensions were used to construct a research motivation model. The final validated questionnaire, containing 21 items, demonstrated good reliability and model fit, making it a robust tool for assessing research motivation in this specific group.

Originality/value

This study contributes to developing a tailored measurement tool of research motivation specifically for master’s students in the humanities and social sciences. It provides valuable insights for graduate education stakeholders, including educators, advisors and graduate management departments, by offering a deeper understanding of the motivational factors driving students’ research engagement and academic development.

Details

Studies in Graduate and Postdoctoral Education, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2398-4686

Keywords

Article
Publication date: 7 January 2019

Jiandong Wei, Manyu Guan, Qi Cao and Ruibin Wang

The purpose of this paper is to analyze the cable-supported bridges more efficiently by building the finite element model with the spatial combined cable element.

Abstract

Purpose

The purpose of this paper is to analyze the cable-supported bridges more efficiently by building the finite element model with the spatial combined cable element.

Design/methodology/approach

The spatial combined cable element with rigid arms and elastic segments was derived. By using the analytical solution of the elastic catenary to establish the flexibility matrix at the end of the cable segment and adding it to the flexibility matrix at the ends of the two elastic segments, the flexibility matrix at the end of the cable body is obtained. Then the stiffness matrix of the cable body is established and the end force vector of cable body is given. Using the displacement transformation relationship between the two ends of the rigid arm, the stiffness matrix of the combined cable element is derived. By assigning zero to the length of the elastic segment(s) or/and the rigid arm(s), many subdivisions of the combined cable element can be obtained, even the elastic catenary element.

Findings

The examples in this field and specially designed examples proved the correctness of the proposed spatial combined cable element.

Originality/value

The combined cable element proposed in this study can be used for the design and analysis of cable-stayed bridges. Case studies show that it is able to simulate cable accurately and could also be used to simulate the suspenders in arch bridges as well in suspension bridges.

Details

Engineering Computations, vol. 36 no. 1
Type: Research Article
ISSN: 0264-4401

Keywords

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