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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: 3 October 2018

Xiwei Wang, Jiaxing Li, Mengqing Yang, Yong Chen and Xiaobo Xu

The purpose of this paper is to construct an information ecology factor-TAM model to explore how information, people, and information environment impact mobile library…

Abstract

Purpose

The purpose of this paper is to construct an information ecology factor-TAM model to explore how information, people, and information environment impact mobile library users’ behavioral intention.

Design/methodology/approach

An empirical study based on an information ecology factor-TAM model.

Findings

The results of model test indicate that information, people, and information environment affect users’ behavioral intention to use mobile library in the information ecology environment. This paper provides a new theoretical perspective to understand users’ behavior of mobile library. It also provides practical guidelines to promote the usage of mobile library.

Originality/value

Internet of Things makes digital library one important channel for people to obtain information. Mobile internet makes it possible to access a variety of information anytime and anywhere. With the rapid grow of the number of mobile internet users, the usage of mobile library does not grow correspondingly. This paper explores the reasons.

Details

Library Hi Tech, vol. 36 no. 4
Type: Research Article
ISSN: 0737-8831

Keywords

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Article
Publication date: 9 August 2019

Jiaxing Cai, Xuequn Cheng, Baijie Zhao, Linheng Chen, Yi Fan, Qinqin Dai, Hongchi Ma and Xiaogang Li

The purpose of this paper is to understand the process of failure of scale and the corrosion resistance of scale to the substrate in an atmospheric environment.

Abstract

Purpose

The purpose of this paper is to understand the process of failure of scale and the corrosion resistance of scale to the substrate in an atmospheric environment.

Design/methodology/approach

The corrosion behaviour of X65 pipeline steel with different types of oxide scale was analysed using the natural environment exposure corrosion test, scanning electron microscopy analysis, electrochemical corrosion polarization curve test and other methods in a warehouse environment.

Findings

The results of this research show that one type of oxide scale, which is rough, has an uneven microstructure, and exhibits weak adhesion to the matrix, does not protect the substrate from corrosion. Conversely, the uniform, dense oxide scale, which exhibits strong adhesion to the matrix, provides effective protection to the steel. However, as the corrosion develops, the corrosion rate of the substrate tends to accelerate, especially when the structure of the oxide scale is damaged to a certain extent.

Originality/value

The corrosion mechanism of the oxide scale on hot rolled steel in an atmospheric environment has been proposed.

Details

Anti-Corrosion Methods and Materials, vol. 66 no. 5
Type: Research Article
ISSN: 0003-5599

Keywords

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Article
Publication date: 27 July 2012

Zheng Liu, Jin Wang, Qijin Chen and Guodong Lu

To enhance the pleasure experience of clothes shopping online, finding satisfactory clothing and similar clothing recommendations to customers should be available and…

Abstract

Purpose

To enhance the pleasure experience of clothes shopping online, finding satisfactory clothing and similar clothing recommendations to customers should be available and accurate. The purpose of this paper is to present a method for automatically computing the similarity between two apparels and giving an effective recommendation.

Design/methodology/approach

Based on a tabular layout of article characteristics the authors built a clothing information model to describe clothing. The clothing attributes are classified according to excavating features of the model. After the proposal of the computation algorithm for various attributes, an efficient similarity computation method is developed to obtain similar clothes with the given cloth. To prevent error and information omission during the computation, the analytic hierarchy process method and entropy method are adopted by the integrated weights as a control.

Findings

Clothing is a non‐rigid product which has a lot of crossover and complicated attributes and features. This paper found a tabular layout of article characteristics can explain the clothing clearly. Through experiments the authors found the weight of attributes to have a great influence on similar results during the similarity computation.

Originality/value

This paper presents a new way to describe clothing information, and present the algorithm for attributes computation.

Details

International Journal of Clothing Science and Technology, vol. 24 no. 4
Type: Research Article
ISSN: 0955-6222

Keywords

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Article
Publication date: 8 January 2018

Xiao Jia, Jin Chen, Liang Mei and Qian Wu

The purpose of this paper is to answer the following two questions: What are the influences of the top managers’ different leadership styles on organizational innovation…

Abstract

Purpose

The purpose of this paper is to answer the following two questions: What are the influences of the top managers’ different leadership styles on organizational innovation? What is the mechanism by which the different leaderships exert different effects on organizational innovation?

Design/methodology/approach

To test the hypothesized model, a data set based on 133 MBA part-time students from Tsinghua University and Zhejiang University in China was built, after interviewing several top managers as a pilot study. With the help of SPSS macro, hierarchical regression and bootstrapping analysis, the paper analyzes the effects of two leadership styles on innovation performance, through the mediation mechanism of openness involving open breadth and open depth.

Findings

The results indicate that transformational leadership enhances, while transactional leadership reduces, the organizational innovation performance. The openness breadth and openness depth not only mediate the beneficial effect of transformational leadership on innovation, but also mediate the deleterious effect of transactional leadership on innovation.

Originality/value

This study empirically explores the different functions of transformational leadership and transactional leadership for leading organizational innovation performance. Furthermore, a new form of organization is an open design or strategy that allows more external knowledge and resources to be absorbed, which is claimed as a new paradigm for organization innovation. This study integrates the concepts of breadth of openness and depth of openness on the basis of open innovation literature, as an intermediate mechanism to explain the different effects of the two forms of top managers’ leadership.

Details

Management Decision, vol. 56 no. 1
Type: Research Article
ISSN: 0025-1747

Keywords

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Article
Publication date: 1 August 2012

Zhang Hong-jie, Chen Zhen, Zhu Yin-lin, Du Zhao-qun and Yu Wei-dong

Cold weather and the subsequent demand for lightweight apparel have prompted research work in the field of thermal insulation clothing. In addition to natural fibres, such…

Abstract

Cold weather and the subsequent demand for lightweight apparel have prompted research work in the field of thermal insulation clothing. In addition to natural fibres, such as wool and cashmere, hollow chemical fibres, such as polyester or polypropylene fibre, have been studied and used to make thermal-insulation clothing. Primarily, modifications are made to increase the hollow ratio; however, this results in the fibre becoming brittle and prone to collapse. Yet many animals survive in harsh and cold conditions, and their hair plays a key role in keeping the body warm.

In the research under discussion, 4 types of cold-resistant animals are selected for observation of their hair fibres based on optical and scanning electronic microscopies. The characteristics of the hair fibres of cold-resistant animals are examined, including colour, scale density, scale thickness, medullary distribution and morphology of cross sections. The conclusions show that there are some common characteristics among cold-resistant animals, i.e., the cross sections are circular or ellipse or anomaly ellipse, scale density ranges from 40 to 100 scales per 1 mm, scale styles vary, and scale angles are small. The experimental results may be used to provide a modification method for functional fibres, especially for thermal-insulation fibres.

Details

Research Journal of Textile and Apparel, vol. 16 no. 3
Type: Research Article
ISSN: 1560-6074

Keywords

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Article
Publication date: 12 March 2019

Kaidi Zhang, Xiao Jia and Jin Chen

The emerging natures of big data – volume, velocity, variety, value and veracity – exert higher stress on employees and demand greater creativity from them, causing…

Abstract

Purpose

The emerging natures of big data – volume, velocity, variety, value and veracity – exert higher stress on employees and demand greater creativity from them, causing extreme difficulties in the talent management of organizations in the big data era. The purpose of this paper is to explore the effect of challenge stressors on creativity and the boundary conditions of the relationship.

Design/methodology/approach

Multisource data were collected including 593 followers and their 98 supervisors from organizations that are confronting a big data induced management revolution. Hierarchical regression analysis and bootstrapping analysis were used to test the mediation and moderation mechanism.

Findings

The results showed that job burnout mediated the negative relationship between challenge stressors and creativity and that this indirect effect was attenuated by an employee’s core self-evaluation (CSE) and servant leadership. In contrast, whether work engagement mediated the relationship between challenge stressors and creativity was contingent on the level of an employee’s CSE and servant leadership. Specifically, the mediating effect was significant only when an employee’s CSE or servant leadership was high.

Originality/value

The results contribute to our understanding of the relationship between challenge stressor and creativity in the big data era. Specifically, relying on the job demands–resources model, this study empirically opens the “black box” between challenge stressors and creativity by exploring two opposing intermediate mechanisms. In addition, this study reveals boundary conditions by investigating dispositional and contextual factors that can accentuate the positive effect while attenuating the negative effect of challenge stressors on employee creativity.

Details

Management Decision, vol. 57 no. 8
Type: Research Article
ISSN: 0025-1747

Keywords

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Article
Publication date: 6 November 2017

Huibin Zhan, Sifeng Liu and Jielong Yu

Loyalty of customers is an essential factor influencing the development of geographical indication products industry. The purpose of this paper is to construct a model to…

Abstract

Purpose

Loyalty of customers is an essential factor influencing the development of geographical indication products industry. The purpose of this paper is to construct a model to detect factors influencing customers’ loyalty on geographical indication products. With analysing four teas, i.e., Lu’an Gua Pian, Huoshan Huangya, Huangshan tribute chrysanthemum and Yuexi Cuilan, this paper measures the factors strengthening consumers’ loyalty and examines how much impact these factors have.

Design/methodology/approach

This paper is characterised as an exploratory research using the grey incidence analysis model and data are obtained by questionnaire survey.

Findings

In general, result of the analysis indicates that customer’s attitude towards its producing areas, perceived quality and cognition of the protection of geographical indications are the important factors that influence their loyalty towards geographical indication products. Detailed rank of their power that goes from highest to lowest is: customer’s attitude towards its producing areas, perceived quality and cognition of the protection of geographical indications. It also shows that the method of grey incidence analysis is adaptable to evaluate factors affecting consumers’ loyalty, which can make the result more persuasive and objective.

Originality/value

The authors construct a model from three aspects: customer’s attitude towards the producing areas of geographical indication products, the perceived quality and cognition of the protection of geographical indications. On the basis of this model, the authors analyse the factors which influence customer’s loyalty with grey incidence analysis.

Details

Grey Systems: Theory and Application, vol. 7 no. 3
Type: Research Article
ISSN: 2043-9377

Keywords

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Article
Publication date: 26 January 2010

Yu Jie, Wang Xinlong and Ji Jiaxing

The purpose of this paper is to improve the tracking performance of the carrier phase lock loop (PLL) in the strapdown inertial navigation system/global positioning system…

Abstract

Purpose

The purpose of this paper is to improve the tracking performance of the carrier phase lock loop (PLL) in the strapdown inertial navigation system/global positioning system (SINS/GPS) integrated system with an innovative scheme of ultra‐tight integration.

Design/methodology/approach

First, providing the Doppler frequency for PLL using SINS velocity could enlarge the loop equivalent bandwidth and reduce the dynamic effect on the carrier loop. Meanwhile, lowering the filter bandwidth could increase the immunity to noise. Second, the relationships between the PLL and SINS errors have been analyzed, and then the PLL error model is established to eliminate the correlation between the pseudo‐range‐rate error and SINS velocity error. Third, the carrier frequency is regulated to improve the tracking accuracy, according to the error estimations of Kalman filter.

Findings

The innovative ultra‐tightly integrated system could not only enhance the anti‐jamming capability and the dynamic tracking performance of the tracking loops, but also improve the pseudo‐range‐rate measurements accuracy for the integrated filter.

Originality/value

This paper provides further study on the method of enhancing the carrier‐tracking performance and improving the integration mode in the ultra‐tightly integrated system based on the software‐defined GPS receiver.

Details

Aircraft Engineering and Aerospace Technology, vol. 82 no. 1
Type: Research Article
ISSN: 0002-2667

Keywords

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Article
Publication date: 3 April 2019

Jao Hong Cheng, Li Wei Lin and Liang Chien Lee

The purpose of this paper is to examine the factors influencing ambidextrous governance and risk management on repurchase intention in social commerce.

Abstract

Purpose

The purpose of this paper is to examine the factors influencing ambidextrous governance and risk management on repurchase intention in social commerce.

Design/methodology/approach

A novel research model comprises nine research hypotheses with six constructs, including three dimensions of social capital (structural, relational and cognitive), contracts, relational risk and repurchase intention. The hypotheses are tested on data collected from 395 usable responses in Taiwan, using structural equation modeling.

Findings

The findings of this study indicate that online merchants should reinforce their collaborative behavior and activities to improve ambidextrous governance mechanisms, and thus enhance repurchase intention.

Research limitations/implications

The resultant findings only reflect the setting of Taiwan’s social commerce marketplace. With the research model developed, future research on cross-country studies of various forms of social networking sites would be worth conducting to determine regional differences in the development of social commerce activities.

Originality/value

Ambidextrous governance mechanisms have been gaining attention in buyer–supplier relationships. Extending ambidexterity research to the social commerce domain, the authors focus on ambidextrous governance that can include social and contractual governance elements.

Details

Internet Research, vol. 29 no. 6
Type: Research Article
ISSN: 1066-2243

Keywords

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