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Article
Publication date: 7 August 2017

Xuexin Xu, Xiaodong Yang, Junhua Lu, Ji Lan, Tai-Quan Peng, Yingcai Wu and Wei Chen

Massively multiplayer online role-playing games (MMORPGs) create quasi-real social systems in which players can interact with one another, and quasi-real economic systems…

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Abstract

Purpose

Massively multiplayer online role-playing games (MMORPGs) create quasi-real social systems in which players can interact with one another, and quasi-real economic systems where players can consume and trade in-game items with virtual currency. The in-game currency price, an important indicator of a virtual economy, is highly contingent on players’ behavioral interaction in MMORPGs. The purpose of this paper is to adopt a network perspective to examine how topological characteristics of social networks in an MMORPG, namely, network externalities, density, and closure, would exert impacts on the in-game currency price.

Design/methodology/approach

Players’ behavioral data were collected from a popular MMORPG in China on a weekly basis for 52 weeks. With a time series analytical approach, the empirical model for the price function of in-game currency was estimated with vector autoregression.

Findings

The results show that the number of core avatars and network density are positively associated with in-game currency price, while network closure has a negative effect on in-game currency price. However, in-game currency price is found to have no significant relationship with the trade volume of the currency.

Originality/value

This study fills in an important research gap by investigating factors influencing the in-game currency price of MMORPGs from a network perspective, which contributes to the existing literature of network effects and advances our understanding about how players’ interaction will influence the dynamics of a virtual economy. The findings could offer useful insights for online game companies to better understand their players’ social interaction and consumption behavior.

Details

Internet Research, vol. 27 no. 4
Type: Research Article
ISSN: 1066-2243

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Article
Publication date: 29 October 2018

Zebin Yang, Xi Chen, Xiaodong Sun, Chunfeng Bao and Jiang Lu

The purpose of this paper is to handle the problem of the radial disturbance caused by rotor mass unbalance and load change in a bearingless induction motor (BIM).

Abstract

Purpose

The purpose of this paper is to handle the problem of the radial disturbance caused by rotor mass unbalance and load change in a bearingless induction motor (BIM).

Design/methodology/approach

The active disturbance rejection controller (ADRC) is used to replace the traditional PI controller, and a cubic interpolation method is used to fit the nonlinear function of ADRC, so as to improve the control performance. Meanwhile, a disturbance observer is applied to the suspension system, and the observed disturbance acceleration is compensated to the suspension system in the form of current; thus, the suppression of the rotor radial disturbance is realized.

Findings

The proposed method can effectively suppress the radial disturbance of the rotor, meliorate the suspension performance of the motor and enhance the anti-interference ability of the system. Besides, it has excellent dynamic and static performance.

Originality/value

A radial disturbance control strategy of the BIM based on improved ADRC is proposed is to suppress the radial disturbance of the rotor. The improved ADRC is to enhance the control performance of the system, and the disturbance observer is designed to observe and compensate the disturbance.

Details

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, vol. 38 no. 1
Type: Research Article
ISSN: 0332-1649

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Article
Publication date: 30 November 2021

Jiajie Wu, Zebin Yang, Xiaodong Sun and Ding Wang

The purpose of the control method proposed in this paper is to address the problem of the poor anti-interference of the suspension winding current in the traditional…

Abstract

Purpose

The purpose of the control method proposed in this paper is to address the problem of the poor anti-interference of the suspension winding current in the traditional bearingless induction motor (BL-IM) direct suspension force control process.

Design/methodology/approach

A model predictive direct suspension force control of a BL-IM based on sliding mode observer is proposed in this paper. The model predictive control (MPC) is introduced to the traditional direct suspension force control to improve the anti-interference of the suspension current. A sliding mode flux linkage observer is designed and applied to the MPC system, which reduces the error of the parameter observation and improves the robustness of the system. The strategy is designed and implemented in the MATLAB/Simulink and the two-level AC speed regulation platform.

Findings

The simulation and experimental results show that the performance of the BL-IM under the control method proposed in this paper is better than that under the traditional direct suspension force control, and the suspension performance of the motor and the anti-interference of the control system are improved.

Originality/value

This study helps to improve the suspension performance of the motor and the anti-interference of the control system.

Details

Engineering Computations, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0264-4401

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Article
Publication date: 3 June 2021

Hao Wu, Quanquan Lv, Jiankang Yang, Xiaodong Yan and Xiangrong Xu

This paper aims to propose a deep learning model that can be used to expand the number of samples. In the process of manufacturing and assembling electronic components on…

Abstract

Purpose

This paper aims to propose a deep learning model that can be used to expand the number of samples. In the process of manufacturing and assembling electronic components on the printed circuit board in the surface mount technology production line, it is relatively easy to collect non-defective samples, but it is difficult to collect defective samples within a certain period of time. Therefore, the number of non-defective components is much greater than the number of defective components. In the process of training the defect detection method of electronic components based on deep learning, a large number of defective and non-defective samples need to be input at the same time.

Design/methodology/approach

To obtain enough electronic components samples required for training, a method based on the generative adversarial network (GAN) to generate training samples is proposed, and then the generated samples and real samples are used to train the convolutional neural networks (CNN) together to obtain the best detection results.

Findings

The experimental results show that the defect recognition method using GAN and CNN can not only expand the sample images of the electronic components required for the training model but also accurately classify the defect types.

Originality/value

To solve the problem of unbalanced sample types in component inspection, a GAN-based method is proposed to generate different types of training component samples and then the generated samples and real samples are used to train the CNN together to obtain the best detection results.

Details

Soldering & Surface Mount Technology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0954-0911

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Article
Publication date: 19 October 2018

Rui Liu, Xiaoping Su, Xiaodong Miao, Guang Yang, Xuefei Dong, Yongsheng Liang and Taiqi Huang

The purpose of this paper is to compare the combustion characteristics, including the combustion pressure, heat release rate (HRR), coefficient of variation (COV) of…

Abstract

Purpose

The purpose of this paper is to compare the combustion characteristics, including the combustion pressure, heat release rate (HRR), coefficient of variation (COV) of indicated mean effective pressure (IMEP), flame development period and combustion duration, of aviation kerosene fuel, namely, rocket propellant 3 (RP-3), and gasoline on a two-stoke spark ignition engine.

Design/methodology/approach

This paper is an experimental investigation using a bench test to reflect the combustion performance of two-stroke spark ignition unmanned aerial vehicle (UAV) engine on gasoline and RP-3 fuel.

Findings

Under low load conditions, the combustion performance and HRR of burning RP-3 fuel were shown to be worse than those of gasoline. Under high load conditions, the average IMEP and the COV of IMEP of burning RP-3 fuel were close to those of gasoline. The difference in the flame development period between gasoline and RP-3 fuel was similar.

Practical implications

Gasoline fuel has a low flash point, high-saturated vapour pressure and relatively high volatility and is a potential hazard near a naked flame at room temperature, which can create significant security risks for its storage, transport and use. Adopting a low volatility single RP-3 fuel of covering all vehicles and equipment to minimize the number of different devices with the use of a various fuels and improve the application safeties.

Originality/value

Most two-stroke spark ignition UAV engines continue to combust gasoline. A kerosene-based fuel operation can be applied to achieve a single-fuel policy.

Details

Aircraft Engineering and Aerospace Technology, vol. 91 no. 1
Type: Research Article
ISSN: 1748-8842

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Article
Publication date: 8 June 2020

Ziyang Song, Fan Yang, Edwin J. Boezeman and Xiaodong Li

The declining attractiveness of construction industry to the new-generation onsite construction professionals (OCPs) in China can be the result of insufficient supply of…

Abstract

Purpose

The declining attractiveness of construction industry to the new-generation onsite construction professionals (OCPs) in China can be the result of insufficient supply of what they desire at work. There is a lack of studies that make clear the work values of this cohort and the fit between their work value preferences and job supplies. Therefore, the purpose of this study is to address this issue.

Design/methodology/approach

This study focused on Chinese new-generation OCPs. Work values and job supplies were measured by two rounds of questionnaire surveys. Factor analysis was implemented to identify work value types. Paired samples t-test, independent samples t-test and one-way ANOVA were performed to figure out work value preferences and degree of supplies–values (S-V) fit and compare them across subgroups.

Findings

Intrinsic, “good time”, work-team-related, altruistic/prestigious and extrinsic work value types were identified. Chinese new-generation OCPs most valued work-team-related and intrinsic work aspects, while significant insufficient supply was relevant to intrinsic, extrinsic and “good time” aspects. Work value preferences and S-V fit showed significant differences among subgroups of gender, growth background, work rank and project type.

Practical implications

The results provide insights for construction companies to practice work-value-based human resource management toward new-generation OCPs and make targeted measures to address the misfit between supplies and values experienced by these OCPs.

Originality/value

This study for the first time examined work values of Chinese new-generation OCPs. It opens a new perspective for research based on S-V fit theory that focused on industry level. The effects of demographic and professional variables on the work values and the degree of S-V fit were revealed. This study thus contributes to the extant literature of work values and S-V fit.

Details

Engineering, Construction and Architectural Management, vol. 27 no. 10
Type: Research Article
ISSN: 0969-9988

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Article
Publication date: 23 August 2019

Xiaodong Sun, Jiangling Wu, Shaohua Wang, Kaikai Diao and Zebin Yang

The torque ripple and fault-tolerant capability are the two main problems for the switched reluctance motors (SRMs) in applications. The purpose of this paper, therefore…

Abstract

Purpose

The torque ripple and fault-tolerant capability are the two main problems for the switched reluctance motors (SRMs) in applications. The purpose of this paper, therefore, is to propose a novel 16/10 segmented SRM (SSRM) to reduce the torque ripple and improve the fault-tolerant capability in this work.

Design/methodology/approach

The stator of the proposed SSRM is composed of exciting and auxiliary stator poles, while the rotor consists of a series of discrete segments. The fault-tolerant and torque ripple characteristics of the proposed SSRM are studied by the finite element analysis (FEA) method. Meanwhile, the characteristics of the SSRM are compared with those of a conventional SRM with 8/6 stator/rotor poles. Finally, FEA and experimental results are provided to validate the static and dynamic characteristics of the proposed SSRM.

Findings

It is found that the proposed novel 16/10 SSRM for the application in the belt-driven starter generator (BSG) possesses these functions: less mutual inductance and high fault-tolerant capability. It is also found that the proposed SSRM provides lower torque ripple and higher output torque. Finally, the experimental results validate that the proposed SSRM runs with lower torque ripple, better output torque and fault-tolerant characteristics, making it an ideal candidate for the BSG and similar systems.

Originality/value

This paper presents the analysis of torque ripple and fault-tolerant capability for a 16/10 segmented switched reluctance motor in hybrid electric vehicles. Using FEA simulation and building a test bench to verify the proposed SSRM’s superiority in both torque ripple and fault-tolerant capability.

Details

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering , vol. 38 no. 6
Type: Research Article
ISSN: 0332-1649

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Article
Publication date: 8 May 2018

Xiaodong Sun, Zhuicai Zhou, Long Chen, Zebin Yang and Shouyi Han

Inductance, torque and iron loss are the key parameters of switched reluctance motors for belt-driven starter generators. This paper aims to present the analysis of a…

Abstract

Purpose

Inductance, torque and iron loss are the key parameters of switched reluctance motors for belt-driven starter generators. This paper aims to present the analysis of a segmented rotor switched reluctance motor (SSRM) with three types of winding connections for hybrid electric vehicle applications by using a two-dimensional finite element method.

Design/methodology/approach

The rotor of the studied SSRM consists of a series of discrete segments, while the stator is made up of exciting and auxiliary teeth. First, the concept and structures of the different winding connections are introduced. Then, the magnetic flux path of the three types of winding connections for the SSRM is described. Second, the magnetic flux distributions in the three parts, i.e. the stator yoke, the stator tooth and the rotor segment, are described in detail to calculate the iron losses. Third, three SSRMs with the different winding arrangements are analyzed and compared to evaluate the distinct features of the studied SSRM. The analysis and comparison mainly include self-inductances, mutual inductances, phase currents, output torque and iron loss.

Findings

It is found that the self-inductances of the three types of winding connections are almost equal, and only the SSRM1 has a positive mutual inductance. In addition, the current waveforms of SSRM1 and SSRM2 are regular. However, it is irregular in SSRM3. It is shown that SSRM1 has better characteristics, such as higher output torque, high power density, lower torque ripple and iron loss.

Originality/value

This paper proposes and analyzes three novel winding connections for the SSRM to provide guidance for enhancing the output torque and reducing the iron loss to achieve high efficiency.

Details

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, vol. 37 no. 3
Type: Research Article
ISSN: 0332-1649

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Article
Publication date: 19 July 2021

Hafiz Syed Mohsin Abbas, Xiaodong Xu and Chunxia Sun

COVID-19 (C19) has been destroying the world's health and emergency response system for almost the past year. Policymakers and health practitioners are trying their best…

Abstract

Purpose

COVID-19 (C19) has been destroying the world's health and emergency response system for almost the past year. Policymakers and health practitioners are trying their best to save the public through various policy development and initiatives in this regard. This study aims to examine the containment measures and their impacts on Australia's C19 situation in Australia's COVIDsafe app background.

Design/methodology/approach

This study investigates the role of the Australian Government's (AG) Health Containment (HC) and Stringency response (SR) in combating the C19 situation in Australia. The time horizon has been taken from January to October 2020 and applied Linear Regression with graphical demonstration analysis by STATA-18 version and MS Word chart features.

Findings

By applying linear regression and graphical demonstration, statistics revealed that AG made various policy developments during the C19 pandemic. However, due to inconsistent and unsustainable measures, the second C19 wave hit Australia much harder than the first wave. COVIDsafe app has been a vital AG in this regard; however, it did not show its progress during the second wave due to privacy issues. After the more focused and aggressive research and development measures, AG overcame the App drawbacks and controlled the situation, demonstrating 92% recovered statistics from C19.

Practical implications

The study concludes that AG should enforce many prudent policy measures and distinct E-government features in the COVIDsafe app and make it secure so people will use it in probable forthcoming C19 waves.

Originality/value

This study has examined the Government of Australia's containment measures in the background discussion of the COVIDsafe app.

Details

Transforming Government: People, Process and Policy, vol. 15 no. 4
Type: Research Article
ISSN: 1750-6166

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Article
Publication date: 6 September 2019

Qun Wu, Kun Liao, Xiaodong Deng and Erika Marsillac

Previous literature tends to combine postponement and modularity or view them as parallel factors to achieve mass customization (MC) while ignoring the sequence of a firm…

Abstract

Purpose

Previous literature tends to combine postponement and modularity or view them as parallel factors to achieve mass customization (MC) while ignoring the sequence of a firm to design and implement operations and supply chain strategy. Based on a customer-oriented strategy and theories of organizational information processing theory, three-dimensional (3D) concurrent engineering and resource dependency, the purpose of this paper is to propose a sequential model reflecting the sequence of practices as well as an overview picture for a firm to achieve MC.

Design/methodology/approach

The model links three company antecedents – postponement orientation, operational alignment and information sharing, to three company supply chain practices – product and process modularity and supplier segmentation. These practices, in turn, lead to the company’s MC capabilities. The proposed model is tested with a data set collected from automotive suppliers in China and in the USA. Structural equation modeling is used to analyze the data and test the model.

Findings

The results suggest that, for suppliers to achieve MC, postponement orientation and operational alignment are vital antecedents. The results also reveal the important responsibility and role of information sharing practices in coordinating suppliers’ modularity practices.

Originality/value

This research provides three findings that are of value to both academicians and practitioners of supply chain management. First, this study originally proposed and empirically tested that a postponement orientation is an antecedent of product and process modularity and supplier segmentation to achieve MC in the automotive sector, contrary to the traditional view of parallel relationships for both. Second, it developed and verified measures of operational alignment and supplier segmentation for future research use. Third, the vital role of information sharing to coordinate internal and external supply chain practices to achieve MC is empirically supported.

Details

Journal of Manufacturing Technology Management, vol. 31 no. 2
Type: Research Article
ISSN: 1741-038X

Keywords

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