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Article
Publication date: 26 September 2019

Qinxiang Xia, Xinjian Ming, Jinchuan Long and Xiujuan Liu

The purpose of this paper is to design the whole structure of high-speed automatic casing system (HSACS) for lithium-ion battery (LIB), and verify its rationality and…

Abstract

Purpose

The purpose of this paper is to design the whole structure of high-speed automatic casing system (HSACS) for lithium-ion battery (LIB), and verify its rationality and reliability by kinematic simulation and casing test.

Design/methodology/approach

Based on the software of SolidWorks and ADAMS, the structure of working mechanisms for HSACS was designed, and virtual prototype models of HSACS and main turntable were established to realize the kinematic analysis. The HSACS casing test was also carried out and compared with simulation.

Findings

Simulation results for the designed HSACS were presented graphically and analyzed. The graphical results indicate that the coordination motions among the working mechanisms of HSACS are reasonable and no interference occurs. Casing test results show that the casing quality and production efficiency of HSACS equipment are satisfying.

Originality/value

In the present work, the developed virtual prototype models of HSACS provide reliable kinematic analysis results for the structural design of HSACS, and reasonable motion relations are realized in the designed structure of HSACS. Furthermore, not only the casing quality requirements can be met, but also the production efficiency of high-speed automatic casing machine for LIB is greatly improved via this kind of new HSACS structure.

Details

Multidiscipline Modeling in Materials and Structures, vol. 16 no. 2
Type: Research Article
ISSN: 1573-6105

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Article
Publication date: 6 November 2017

Shi-quan Jiang, Si-feng Liu, Zhi-geng Fang and Zhong-xia Liu

The purpose of this paper is to study distance measuring and sorting method of general grey number.

Abstract

Purpose

The purpose of this paper is to study distance measuring and sorting method of general grey number.

Design/methodology/approach

First, the concept of generalised grey number based on grey system theory is given in this paper. Second, from the perspective of kernel and degree of greyness of general grey number, the method of measuring the distance of general grey number and its properties are given. At the same time, the concepts of the kernel expectation and the kernel variance of the general grey number are proposed.

Findings

Up to now, the method of measuring the distance and sorting of general grey number is established. Thus, the difficult problem for set up sorting of general grey number has been solved to a certain degree.

Research limitations/implications

The method exposed in this paper can be used to integrate information form a different source. Distance measuring and sorting method of general grey number could be extended to the case of grey algebraic equation, grey differential equation and grey matrix which includes general grey numbers, etc.

Originality/value

The concepts of the kernel expectation and the kernel variance of the general grey number are proposed for the first time in this paper; the novel sorting rules of general grey numbers were also constructed.

Details

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

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Article
Publication date: 12 August 2019

Xia Liu

Social bots are prevalent on social media. Malicious bots can severely distort the true voices of customers. This paper aims to examine social bots in the context of big…

Abstract

Purpose

Social bots are prevalent on social media. Malicious bots can severely distort the true voices of customers. This paper aims to examine social bots in the context of big data of user-generated content. In particular, the author investigates the scope of information distortion for 24 brands across seven industries. Furthermore, the author studies the mechanisms that make social bots viral. Last, approaches to detecting and preventing malicious bots are recommended.

Design/methodology/approach

A Twitter data set of 29 million tweets was collected. Latent Dirichlet allocation and word cloud were used to visualize unstructured big data of textual content. Sentiment analysis was used to automatically classify 29 million tweets. A fixed-effects model was run on the final panel data.

Findings

The findings demonstrate that social bots significantly distort brand-related information across all industries and among all brands under study. Moreover, Twitter social bots are significantly more effective at spreading word of mouth. In addition, social bots use volumes and emotions as major effective mechanisms to influence and manipulate the spread of information about brands. Finally, the bot detection approaches are effective at identifying bots.

Research limitations/implications

As brand companies use social networks to monitor brand reputation and engage customers, it is critical for them to distinguish true consumer opinions from fake ones which are artificially created by social bots.

Originality/value

This is the first big data examination of social bots in the context of brand-related user-generated content.

Details

Journal of Services Marketing, vol. 33 no. 4
Type: Research Article
ISSN: 0887-6045

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Book part
Publication date: 10 July 2019

Xujian Zhao, Hui Zhang, Chunming Yang and Bo Li

In recent years, a great number of top conferences and workshops on artificial intelligence (AI) were held in China, showing Chinese AI plays an important role in the…

Abstract

In recent years, a great number of top conferences and workshops on artificial intelligence (AI) were held in China, showing Chinese AI plays an important role in the world. Meanwhile, Chinese government announced an ambitious scheme, “New Generation Artificial Intelligence Development Plan,” for the country to become a world leader in AI technologies by 2030. The AI research in China has covered various aspects, ranging from chips to algorithms. This chapter attempts to give an overview of the recent advances of AI research and development in China, as well as some perspectives on the future development of AI in China.

Details

The New Silk Road Leads through the Arab Peninsula: Mastering Global Business and Innovation
Type: Book
ISBN: 978-1-78756-680-4

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Article
Publication date: 1 January 2016

Xia Liu and Ning Ding

Revealing research data’s production and use, the status of research data management (RDM) and researchers’ service requirements in universities of Central China; this…

Abstract

Purpose

Revealing research data’s production and use, the status of research data management (RDM) and researchers’ service requirements in universities of Central China; this study aims to investigate the feasibility of university libraries in providing RDM services without any supporting policies from governments or funding agencies.

Design/methodology/approach

Using a stratified sampling method, faculties and graduate students from 11 universities were investigated. Four pilot subjects at Wuhan University (WHU) were chosen for whom a pilot RDM platform was to be constructed.

Findings

Research data at Chinese universities are small, sporadic and discontinuous. Such data are intensively or dispersedly under researcher’s management, with some unresolved problems regarding data security, data sharing and utilisation efficiency. Researchers’ needs for data services are strong. University libraries in China can develop RDM systems and provide related services. To realise this, more work should be done on service mechanism, service promotion, software development and staff training.

Research limitations/implications

The user survey covered 11 universities in central China, which may not reveal the real RDM status of researcher in different areas of China.

Practical implications

The practice at WHU could provide reference to other university libraries in China or other developing countries.

Social implications

The practice at WHU could provide reference to other university libraries in China or other developing countries.

Originality/value

The user survey is designed to be as comprehensive as possible and cover 902 researchers from 11 different types of Chinese universities. The practice at WHU is one of the first RDM initiatives led by university library in China.

Details

The Electronic Library, vol. 34 no. 5
Type: Research Article
ISSN: 0264-0473

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Article
Publication date: 2 January 2018

Anoop Kumar Sahu, Nitin Kumar Sahu, Atul Kumar Sahu, Harendra Kumar Narang and Mridul Singh Rajput

In the presented research, the authors have conducted the literature review and organised real interviews of fruit retailers (FRs) to construct the advanced hierarchical…

Abstract

Purpose

In the presented research, the authors have conducted the literature review and organised real interviews of fruit retailers (FRs) to construct the advanced hierarchical structural (AHS) chain of macro-micro parameters for measuring the performances of defined fruit supply bazaars (FSBs). Apart from this, the purpose of this paper is to develop the grey set-based scorecard model for solving the proposed AHS chain of macro-micro parameters.

Design/methodology/approach

The performance of FSBs is linked with the supply of fruits towards clients under a feasible rate, which circuitously depends upon the evaluation of the economic locality of FSBs. The authors developed an advanced hierarchical structure of macro-micro parameters via a literature survey and considered these parameters based on the sampling score of FRs corresponding to select feasible FSBs/alternatives. Furthermore, the authors developed a grey set-based scorecard model for undertaking the incomplete information of FRs against the hierarchical structure.

Findings

It is found that the work is well suited for FRs as they can measure the performances of defined FSBs in accordance with their own opinions under the proposed AHS of macro-micro parameters. Apart from this, the work is useful for benchmarking the vegetable supply bazaars (VSBs) on the replacement of AHS. The proposed hierarchical structure with a grey-based scorecard model is flexible in its nature and can undertake more than 1,000 macro-micro parameters and FRs to access potential decision.

Originality/value

The conducted research work has a precise value for evaluating the economic FSB locality. The overall performance scores of considered FSB localities are computed as (∂1)=1.991, (∂2)=2.567 and (∂3)=2.855, where (∂3) is found to be more significant than available FSBs. This work can be used for opting the economic locality of VSB too.

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Article
Publication date: 21 November 2016

Yue-tang Bian, Lu Xu, Jin-Sheng Li and Xia-qun Liu

The purpose of this paper is to explore the evolvement of investors’ behavior in stock market dynamically on the basis of non-cooperative strategy applied by investors in…

Abstract

Purpose

The purpose of this paper is to explore the evolvement of investors’ behavior in stock market dynamically on the basis of non-cooperative strategy applied by investors in complex networks.

Design/methodology/approach

Using modeling and simulation research method, this study designs and conducts a mathematical modeling and its simulation experiment of financial market behavior according to research’s basic norms of complex system theory and methods. Thus the authors acquire needed and credible experimental data.

Findings

The conclusions drawn in this paper are as follows. The dynamical evolution of investors’ trading behavior is not only affected by the stock market network structure, but also by the risk dominance degree of certain behavior. The dynamics equilibrium of trading behavior’s evolvement is directly influenced by the risk dominance degree of certain behavior, connectivity degree and the heterogeneity of the stock market networks.

Research limitations/implications

This paper focuses on the dynamical evolvement of investors’ behavior on the basis of the hypothesis that common investors prefer to mimic their network neighbors’ behavior through different analysis by the strategy of anti-coordination game in complex network. While the investors’ preference and the beliefs among them are not easy to quantify, that is deterministic or stochastic as the environment changes, and is heterogeneous definitely. Thus, these limitations should be broken through in the future research.

Originality/value

This paper aims to address the dynamical evolvement of investors’ behavior in stock market networks on the principle of non-cooperative represented by anti-coordination game in networks for the first time, considering that investors prefer to mimic their network neighbors’ behavior through different analysis by the strategy of differential choosing in every time step. The methodology designed and used in this study is a pioneering and exploratory experiment.

Details

China Finance Review International, vol. 6 no. 4
Type: Research Article
ISSN: 2044-1398

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Book part
Publication date: 29 July 2019

Bruno S. Sergi, Elena G. Popkova, Aleksei V. Bogoviz and Julia V. Ragulina

This chapter analyzes the technological growth of the modern Russian economy through the prism of evaluating its effectiveness from the position of costs and profits. It…

Abstract

This chapter analyzes the technological growth of the modern Russian economy through the prism of evaluating its effectiveness from the position of costs and profits. It also determines the factors of this growth and develops recommendations for managing them in the interests of acceleration of rate and increase of effectiveness of technological growth of the modern Russian economy. While technological growth in Russia shows high effectiveness, the model of technological growth in Russia has its specifics, connected to the unconventional influence of a standard set of the factors on technological growth. The influence of the factor of the number of organizations that implement R&D is insignificant, and the influence of the number of personnel involved with R&D, volume of private expenditures for R&D, and the number of used leading production technologies is negative (reverse). We offer recommendations for increasing the effectiveness of technological growth of the modern Russian economy, which are connected to increase of the volume of state expenditures for R&D (recommended volume – USD 35.09, its growth as compared to 2018 constitutes 191.76%) and increase of the number of developed leading production technologies (recommended number of these technologies – 2350.05, its growth as compared to 2018 constitutes 62.34%).

Details

Tech, Smart Cities, and Regional Development in Contemporary Russia
Type: Book
ISBN: 978-1-78973-881-0

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Article
Publication date: 18 April 2020

Pengyang Li, Qiang Chen, Qingyu Peng and Xiaodong He

This paper aims to study the synergistic effect of graphene sponge on the thermal properties and shape stability of composite phase change material (PCM).

Abstract

Purpose

This paper aims to study the synergistic effect of graphene sponge on the thermal properties and shape stability of composite phase change material (PCM).

Design/methodology/approach

Graphene oxide sponge is first prepared from an aqueous solution of graphene oxide by freeze-drying method. The oxidized graphene sponge is reduced by hydrazine hydrate. Finally, use vacuum impregnation method to introduce paraffin into graphene sponge to prepare composite PCM.

Findings

Graphene sponge is used to improve the shape stability of paraffin wax and improves the thermal conductivity and latent heat of the composite PCM. The thermal conductivity increases by 200 per cent and the composite PCM has excellent reliability in 100 melt-freezing cycles.

Research limitations/implications

A simple way for fabricating composite PCM with high thermal conductivity and latent heat which has the potential to be used as thermal storage materials without container encapsulation has been developed by using graphene sponge and paraffin.

Originality/value

The materials and preparation methods with special structure and properties in this paper provide a new idea for the research of PCM, which can be widely used in the fields of energy conversion and storage.

Details

Pigment & Resin Technology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0369-9420

Keywords

Content available
Article
Publication date: 23 September 2020

Ariel Kwegyir Tsiboe

This study aims to describe the lived experiences among older persons with disability during the coronavirus pandemic in rural Ghana.

Abstract

Purpose

This study aims to describe the lived experiences among older persons with disability during the coronavirus pandemic in rural Ghana.

Design/methodology/approach

This study is based on a qualitative methodology consistent with a phenomenological approach. Semi-structured interviews were conducted with 20 participants. Thematic analysis was used for data analysis.

Findings

During the pandemic, care rendered to older persons with disabilities by their caregivers easily declined because of the lockdown measure. This made the participants suffer in profound loneliness and hunger, and forced some to generate suicidal thoughts. On the other hand, the participants who lived with their family members were also kept indoors for several weeks to reduce their chances of contracting the virus. This was because participants’ family members loosed confidence in the Ghanaian health-care system in protecting their older relatives.

Originality/value

To the best of the author’s knowledge, this is the first study to explore the experiences of older persons with disabilities during coronavirus disease 2019 in rural Ghana. The Ghanaian Government should consider formalized care to ensure continued care of older persons with disabilities especially during pandemics and future related uncertainties.

Details

The Journal of Adult Protection, vol. 22 no. 6
Type: Research Article
ISSN: 1466-8203

Keywords

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