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Article
Publication date: 13 November 2009

Haibin Duan and Haixia Zhang

The purpose of this paper is to design and implement a novel type of PCI eXtension for Instruments (PXI) bus‐based airborne data transfer equipment (DTE) test system.

231

Abstract

Purpose

The purpose of this paper is to design and implement a novel type of PCI eXtension for Instruments (PXI) bus‐based airborne data transfer equipment (DTE) test system.

Design/methodology/approach

First, the basic principle of PXI bus is introduced in detail. Then, the hardware and software are developed for the PXI bus‐based airborne DTE test system. Based on the description of the basic conceptions of rough set theory, a novel hybrid approach for fault diagnosis in PXI bus‐based airborne DTE test system is proposed, which is based on rough set theory, genetic algorithm and neural network. Combining with rough set theory, genetic algorithm is used to compute the reductions of the decision table. Subsequently, the condition attributes of decision table are regarded as the input nodes of neural network and the decision attributes are regarded as the output nodes of neural network correspondingly.

Findings

The exact application results are also presented to verify the feasibility and effectiveness of the developed PXI bus‐based airborne DTE test system, and the test results can also be saved automatically. The exact application results show that the various faults within the PXI bus‐based airborne DTE test system can be located on board level, and the newly developed airborne DTE test system is also easy to be extended and upgraded.

Practical implications

The proposed hybrid rough set theory, genetic algorithm and neural network approach could reduce the number of attributes in the decision table, simplify the structure of neural network and improve the ability of generality. The airborne DTE test system is also capable of different unit under test (UUT), which can be selected by the definite operators at the start of the test, to ensure that failures and problems are handled automatically and without intervention. This newly developed PXI bus‐based airborne DTE test system can be located on board level, and it is also very easy to be extended and upgraded. Practical implementations show that hidden errors can be effectively detected by the developed PXI bus‐based airborne DTE test system. The proposed methodology can help improve the general performance of the airborne DTE test system, and the faults can be checked with minimum time and effort. This system can enhance the army combat capability efficiently.

Originality/value

This paper develops a novel type of PXI bus‐based airborne DTE test system. In particular, a hybrid approach for fault diagnosis in PXI bus‐based airborne DTE test system is proposed, which is based on rough set theory, genetic algorithm and neural network. This approach provides an effective way to diagnosis the faults of the airborne DTE test system.

Details

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, vol. 28 no. 6
Type: Research Article
ISSN: 0332-1649

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Article
Publication date: 1 August 2005

Haixia Zhang, Yuan Xue and Shanyuan Wang

Spandex fibers have superior stretch and elastic recovery ability, which is why clothes containing spandex fibers fit well and are comfortable. The most common methods of…

85

Abstract

Spandex fibers have superior stretch and elastic recovery ability, which is why clothes containing spandex fibers fit well and are comfortable. The most common methods of producing elastic yarns are core-spun on a modified ring frame and hollow spindle technique. Rotor spinning has many advantages over ring spinning and has been adopted worldwide. In this paper, a method of producing the cotton/spandex composite yarns on a modified open-end rotor spinning is introduced. By changing the draft ratio and linear density of spandex filaments, different kinds of cotton/spandex composite yarns are produced on a modified rotor spinning frame, and their appearance and properties are tested and analyzed at the same time. The results show that the spandex draft ratio has great influence on the appearance and properties of rotor spun cotton/spandex composite yarns. The linear density of spandex filaments also has influence on the properties of composite yarns.

Details

Research Journal of Textile and Apparel, vol. 9 no. 3
Type: Research Article
ISSN: 1560-6074

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Article
Publication date: 6 August 2018

Haixia Wang, Xiao Lu, Wei Cui, Zhiguo Zhang, Yuxia Li and Chunyang Sheng

Developing general closed-form solutions for six-degrees-of-freedom (DOF) serial robots is a significant challenge. This paper thus aims to present a general solution for six-DOF…

210

Abstract

Purpose

Developing general closed-form solutions for six-degrees-of-freedom (DOF) serial robots is a significant challenge. This paper thus aims to present a general solution for six-DOF robots based on the product of exponentials model, which adapts to a class of robots satisfying the Pieper criterion with two parallel or intersecting axes among its first three axes.

Design/methodology/approach

The proposed solution can be represented as uniform expressions by using geometrical properties and a modified Paden–Kahan sub-problem, which mainly adopts the screw theory.

Findings

A simulation and experiments validated the correctness and effectiveness of the proposed method (general resolution for six-DOF robots based on the product of exponentials model).

Originality/value

The Rodrigues rotation formula is additionally used to turn the complex problem into a solvable trigonometric function and uniformly express six solutions using two formulas.

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Article
Publication date: 24 May 2022

Aoyuan Zhang and Haixia Qi

This study aims to explore the factors whereby some international organizations (IOs) are more effective than others in international mediation and proposes three types of…

398

Abstract

Purpose

This study aims to explore the factors whereby some international organizations (IOs) are more effective than others in international mediation and proposes three types of hypotheses through combining quantitative and qualitative analysis. First, IOs with greater institutional capabilities for gathering, exchanging and disseminating conflict-related information are more likely to mediate effectively. IO bias is another factor of influence in this regard. Second, IOs with greater institutional capabilities for deploying field missions and guaranteeing agreement are more likely to mediate effectively and maintain durable peace. Third, IOs with higher amounts of leverage are more likely to mediate effectively.

Design/methodology/approach

The study establishes two data sets: one on interstate conflict; the other on intrastate conflict, thus to cover as many research samples as possible and avoid sampling bias.

Findings

Results of the statistical analysis indicate that no matter interstate or intrastate conflict, IOs with higher institutional capabilities for diplomatic interventions are more likely to bring conflict parties to an agreement and thereafter maintain short-term peace. IOs with higher institutional capabilities for economic sanctions are similarly effective. Furthermore, IOs with greater institutional capabilities for field mission deployment mediate more effectively, whether in facilitating peace agreements or maintaining short-term and long-term peace after the agreement. IO bias and preference, however, have no significant impact on mediation effectiveness.

Research limitations/implications

This study has made no in-depth explorations of such existing and important research areas as different third-party comparisons of the mediation effect.

Practical implications

This paper attempts to make some contributions to the topic of mediation effectiveness through applying a bargaining model to the research and performing a statistical analysis based on both an interstate conflict data set and an intrastate conflict data set.

Originality/value

This paper provides an in-depth causal analysis and thoroughgoing comparison of the effectiveness of IOs in both interstate conflicts and intrastate conflicts.

Details

International Journal of Conflict Management, vol. 33 no. 4
Type: Research Article
ISSN: 1044-4068

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Article
Publication date: 6 August 2024

Haixia Yuan, Kevin Lu, Ali Ausaf and Mohan Zhu

As an emerging video comment feature, danmaku is gaining more traction and increasing user interaction, thereby altering user engagement. However, existing research seldom…

242

Abstract

Purpose

As an emerging video comment feature, danmaku is gaining more traction and increasing user interaction, thereby altering user engagement. However, existing research seldom explores how the effectiveness of danmaku on user engagement varies over time. To address this research gap, this study proposes a comprehensive framework drawing on social presence theory and information overload theory. The framework aims to explain how the effectiveness of danmaku in increasing user engagement changes over shorter time intervals.

Design/methodology/approach

A research model was proposed and empirically tested using data collected from 1,019 movies via Bilibili.com, one of China’s most popular danmaku video platforms. A time-varying effect model (TVEM) was used to examine the proposed research model.

Findings

The study finds that the volume of danmaku and its valence exert a time-varying influence on user engagement. Notably, the study shows that danmaku volume plays a more substantial role in determining user engagement than danmaku valence.

Originality/value

This research offers theoretical insights into the dynamic impact of danmaku on user engagement. The innovative conceptualization and measurement of user engagement advance research on pseudo-synchronous communication engagement. Furthermore, this study offers practical guidelines for effectively managing danmaku comments on online video platforms.

Details

Internet Research, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1066-2243

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Article
Publication date: 29 November 2024

Yannian Wu, Euisoo Kim, James J. Zhang, Fengyan Li and Haixia Duan

Grounded in social cognitive theory, social exchange theory and “cognition-emotion-behavior intention” analysis framework, a theoretical model of cause-related sport marketing…

142

Abstract

Purpose

Grounded in social cognitive theory, social exchange theory and “cognition-emotion-behavior intention” analysis framework, a theoretical model of cause-related sport marketing (CRSM) affecting consumers’ purchase intentions was constructed through a case study. This model was then empirically validated to confirm CRSM's impact on consumers' purchase intentions.

Design/methodology/approach

This study embraces a mixed-methods approach that combines both qualitative and quantitative research methodologies to investigate the mechanisms through which CRSM influences consumers' purchase intentions.

Findings

The results indicate that: (1) consumers’ perception of CRSM has no direct impact on purchase intentions; (2) consumers’ perception of CRSM directly affects gratitude; (3) consumer gratitude acts as a complete mediator between perceived CRSM and purchase intentions.

Originality/value

These findings shed light on the role of gratitude in CRSM and offer practical guidance for sports enterprises in improving their philanthropic marketing strategies.

Details

Asia Pacific Journal of Marketing and Logistics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1355-5855

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Article
Publication date: 3 December 2018

Qiuping Wang, Subing Liu and Haixia Yan

Due to high efficiency and low carbon of natural gas, the consumption of natural gas is increasing rapidly, and the prediction of natural gas consumption has become the focus. The…

164

Abstract

Purpose

Due to high efficiency and low carbon of natural gas, the consumption of natural gas is increasing rapidly, and the prediction of natural gas consumption has become the focus. The purpose of this paper is to employ a prediction technique by combining grey prediction model and trigonometric residual modification for predicting average per capita natural gas consumption of households in China.

Design/methodology/approach

The GM(1,1) model is utilised to obtain the tendency term, then the generalised trigonometric model is used to catch the periodic phenomenon from the residual data of GM(1,1) model for improving predicting accuracy.

Findings

The case verified the view of Xie and Liu: “When the value of a is less, DGM model and GM(1,1) model can substitute each other.” The combination of the GM(1,1) and the trigonometric residual modification technique can observably improve the predicting accuracy of average per capita natural gas consumption of households in China. The mean absolute percentage errors of GM(1,1) model, DGM(1,1), unbiased grey forecasting model, and TGM model in ex post testing stage (from 2013 to 2015) are 32.5510, 33.5985, 36.9980, and 5.2996 per cent, respectively. The TGM model is suitable for the prediction of average per capita natural gas consumption of households in China.

Practical implications

According to the historical data of average per capita natural gas consumption of households in China, the authors construct GM(1,1) model, DGM(1,1) model, unbiased grey forecasting model, and GM(1,1) model with trigonometric residual modification. The accuracy of TGM is the best. TGM helps to improve the accuracy of GM(1,1).

Originality/value

This paper gives a successful practical application of grey model GM(1,1) with the trigonometric residual modification, where the cyclic variations exist in the residual series. The case demonstrates the effectiveness of trigonometric grey prediction model, which is helpful to understand the modeling mechanism of trigonometric grey prediction model.

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Article
Publication date: 9 November 2023

Lubing Lyu and Haixia Zhao

This paper aims to study the interplay between a risk-averse national brand manufacturer's (NBM) selling mode decision and a risk-neutral e-platform's private brand (PB…

103

Abstract

Purpose

This paper aims to study the interplay between a risk-averse national brand manufacturer's (NBM) selling mode decision and a risk-neutral e-platform's private brand (PB) introduction decision.

Design/methodology/approach

A game theory model is used to solve selling mode decision, that is whether transform the selling mode from the wholesale mode to the marketplace mode, and PB introduction decision, that is, whether introduce the PB.

Findings

The results show that for the NBM, under certain condition, the NBM's selling mode decision is not affected by the e-platform's PB introduction decision. High revenue-sharing rate is conducive only when the difference in consumer preference between the PB and the national brand (NB) is small. The NBM's risk aversion will improve the applicability of the marketplace mode. For the e-platform, high PB preference of consumers and risk-averse behavior of the NBM is not conducive to PB introduction. For the supply chain, scenarios that the NB monopolizes the market under the wholesale mode and PB introduction under the marketplace mode should be prevented. PB introduction under the wholesale mode will become the only equilibrium with the increase of risk aversion of the NBM. Finally, the authors extend the scenario that consumers prefer the PB and the e-platform is risk-averse enterprise and find that PB introduction under the wholesale mode is detrimental to the NBM but beneficial to the supply chain. The impact of consumers' PB preference on the e-platform's PB introduction is opposite to the basic model. The impact of the e-platform's risk aversion on game equilibrium is opposite to that of the NBM's risk aversion.

Originality/value

This paper is first to study selling mode decision and PB introduction decision when considering enterprises' risk-averse attitude.

Details

Kybernetes, vol. 54 no. 2
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 13 February 2024

Haixia Yang and Hongbo Pan

Given the significance of innovation in enabling firms to maintain a long-term competitive edge and secure excess profits, this paper aims to investigate whether and how…

107

Abstract

Purpose

Given the significance of innovation in enabling firms to maintain a long-term competitive edge and secure excess profits, this paper aims to investigate whether and how stakeholders’ attention to innovation (SATI) influences corporate innovation.

Design/methodology/approach

This paper introduces a novel variable, SATI, which is achieved by segmenting stakeholders’ attention into two categories: attention to innovation and attention to other facets, using textual analysis methods. Subsequently, this paper empirically examines the influence of SATI on corporate innovation.

Findings

This paper finds that SATI positively affects corporate innovation input, and the result remains true after addressing possible endogeneity issues using instrumental variable regression. Furthermore, the positive effect of SATI on corporate innovation is stronger in firms facing greater financing constraints, thus verifying the financing constraints hypothesis. The positive effect is also stronger in firms with lower risk-taking levels, thus confirming the innovation failure tolerance hypothesis. Further analysis suggests that SATI increases both corporate innovation output and efficiency, thus ruling out the catering hypothesis.

Originality/value

This paper highlights the importance of SATI in driving corporate innovation. It enriches the literature on the repercussions of stakeholders’ attention and determinants of corporate innovation. In addition, it provides practical suggestions for further implementing China’s national innovation-driven development strategy.

Details

Nankai Business Review International, vol. 15 no. 4
Type: Research Article
ISSN: 2040-8749

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Article
Publication date: 4 June 2021

Miao Tian, Ying Cui, Haixia Long and Junxia Li

In novelty detection, the autoencoder based image reconstruction strategy is one of the mainstream solutions. The basic idea is that once the autoencoder is trained on normal…

174

Abstract

Purpose

In novelty detection, the autoencoder based image reconstruction strategy is one of the mainstream solutions. The basic idea is that once the autoencoder is trained on normal data, it has a low reconstruction error on normal data. However, when faced with complex natural images, the conventional pixel-level reconstruction becomes poor and does not show the promising results. This paper aims to provide a new method for improving the performance of novelty detection based autoencoder.

Design/methodology/approach

To solve the problem that conventional pixel-level reconstruction cannot effectively extract the global semantic information of the image, a novel model with the combination of attention mechanism and self-supervised learning method is proposed. First, an auxiliary task, reconstruct rotated image, is set to enable the network to learn global semantic feature information. Then, the channel attention mechanism is introduced to perform adaptive feature refinement on the intermediate feature map to optimize the correspondingly passed feature map.

Findings

Experimental results on three public data sets show that the proposed method has potential performance for novelty detection.

Originality/value

This study explores the ability of self-supervised learning methods and attention mechanism to extract features on a single class of images. In this way, the performance of novelty detection can be improved.

Details

Industrial Robot: the international journal of robotics research and application, vol. 48 no. 5
Type: Research Article
ISSN: 0143-991X

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