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1 – 10 of over 2000
Article
Publication date: 1 August 2016

Hua Wang and Jun Liu

Tolerance simulation’s reliability depends on the concordance between the input probability distribution and the real variation. The prescribed clamp force introduced changes in…

Abstract

Purpose

Tolerance simulation’s reliability depends on the concordance between the input probability distribution and the real variation. The prescribed clamp force introduced changes in parts’ variation, which should be reflected in the input probability distribution for the tolerance simulation. The paper aims to present a tolerance analysis process of the composite wingbox assembly considering the preloading-modified distribution and especially focuses on the spring-in deviation of the thin-walled C-section composite beam (TC2B).

Design/methodology/approach

Based on finite element analysis model of TC2B, the preloading-modified probability distribution function (PDF) of the spring-in deviation is obtained. Thickness variations of the TC2B are obtained from the data of the downscaled composite wingbox. These variations are input to the computer-aided tolerance tools, and the final assembly variations are obtained. The assembly of the downscaled wingbox illustrates the effect of preloading on the probability distribution of the spring-in deviation.

Findings

The results have shown that the final assembly variations estimated with the modified probability distribution is more reliable than the variation of the initial normal distribution.

Originality/value

The tolerance simulation work presented in the paper will enhance the understanding of the composite parts assembling with spring-in deviations, improve the chance to choose assembling processes that allow specifications to be met and help with tolerance allocation in composites assembly.

Details

Assembly Automation, vol. 36 no. 3
Type: Research Article
ISSN: 0144-5154

Keywords

Article
Publication date: 22 January 2024

Jun Liu, Junyuan Dong, Mingming Hu and Xu Lu

Existing Simultaneous Localization and Mapping (SLAM) algorithms have been relatively well developed. However, when in complex dynamic environments, the movement of the dynamic…

Abstract

Purpose

Existing Simultaneous Localization and Mapping (SLAM) algorithms have been relatively well developed. However, when in complex dynamic environments, the movement of the dynamic points on the dynamic objects in the image in the mapping can have an impact on the observation of the system, and thus there will be biases and errors in the position estimation and the creation of map points. The aim of this paper is to achieve more accurate accuracy in SLAM algorithms compared to traditional methods through semantic approaches.

Design/methodology/approach

In this paper, the semantic segmentation of dynamic objects is realized based on U-Net semantic segmentation network, followed by motion consistency detection through motion detection method to determine whether the segmented objects are moving in the current scene or not, and combined with the motion compensation method to eliminate dynamic points and compensate for the current local image, so as to make the system robust.

Findings

Experiments comparing the effect of detecting dynamic points and removing outliers are conducted on a dynamic data set of Technische Universität München, and the results show that the absolute trajectory accuracy of this paper's method is significantly improved compared with ORB-SLAM3 and DS-SLAM.

Originality/value

In this paper, in the semantic segmentation network part, the segmentation mask is combined with the method of dynamic point detection, elimination and compensation, which reduces the influence of dynamic objects, thus effectively improving the accuracy of localization in dynamic environments.

Details

Industrial Robot: the international journal of robotics research and application, vol. 51 no. 2
Type: Research Article
ISSN: 0143-991X

Keywords

Article
Publication date: 28 March 2023

Jun Liu, Sike Hu, Fuad Mehraliyev and Haolong Liu

This study aims to investigate the current state of research using deep learning methods for text classification in the tourism and hospitality field and to propose specific…

Abstract

Purpose

This study aims to investigate the current state of research using deep learning methods for text classification in the tourism and hospitality field and to propose specific guidelines for future research.

Design/methodology/approach

This study undertakes a qualitative and critical review of studies that use deep learning methods for text classification in research fields of tourism and hospitality and computer science. The data was collected from the Web of Science database and included studies published until February 2022.

Findings

Findings show that current research has mainly focused on text feature classification, text rating classification and text sentiment classification. Most of the deep learning methods used are relatively old, proposed in the 20th century, including feed-forward neural networks and artificial neural networks, among others. Deep learning algorithms proposed in recent years in the field of computer science with better classification performance have not been introduced to tourism and hospitality for large-scale dissemination and use. In addition, most of the data the studies used were from publicly available rating data sets; only two studies manually annotated data collected from online tourism websites.

Practical implications

The applications of deep learning algorithms and data in the tourism and hospitality field are discussed, laying the foundation for future text mining research. The findings also hold implications for managers regarding the use of deep learning in tourism and hospitality. Researchers and practitioners can use methodological frameworks and recommendations proposed in this study to perform more effective classifications such as for quality assessment or service feature extraction purposes.

Originality/value

The paper provides an integrative review of research in text classification using deep learning methods in the tourism and hospitality field, points out newer deep learning methods that are suitable for classification and identifies how to develop different annotated data sets applicable to the field. Furthermore, foundations and directions for future text classification research are set.

Details

International Journal of Contemporary Hospitality Management, vol. 35 no. 12
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 7 June 2018

Fu Yang, Jing Qian and Jun Liu

The purpose of this paper is to examine the relationship between servant leadership and customer service behaviors by probing the mediating role of promotion focus and the…

1738

Abstract

Purpose

The purpose of this paper is to examine the relationship between servant leadership and customer service behaviors by probing the mediating role of promotion focus and the moderating role of internal locus of control.

Design/methodology/approach

The authors hypothesized an indirect relationship between servant leadership and customer service behaviors through promotion focus. Also, the authors predicted that the positive relationship between servant leadership and promotion focus would be stronger for employees with low internal locus of control. The authors tested the theoretical model with data gathered across two phases over three months from 280 supervisor-subordinate dyads.

Findings

Results indicated that servant leadership was positively related to customer service behaviors via promotion focus. Results also showed that internal locus of control moderated the relationship between servant leadership and promotion focus, such that the relationship was stronger for employees low on internal locus of control. Furthermore, this moderated mediated model was supported. As predicted, the indirect effect was stronger when internal locus of control was low.

Research limitations/implications

This study extends the regulatory focus theory to the service context to investigate how and when servant leadership enhances customer service behaviors. The authors suggested promotion focus as a key mediating mechanism and revealed internal locus of control as a boundary condition for the effectiveness of servant leadership.

Originality/value

This study highlights the importance role of promotion focus in fostering customer service behaviors and provides novel theoretical insight regarding when servant leadership enhances customer service behaviors.

Details

Management Decision, vol. 56 no. 11
Type: Research Article
ISSN: 0025-1747

Keywords

Article
Publication date: 5 April 2022

Yuquan Ni, Nannan Sun, Guixiang Zhu, Shujie Liu, Jun Liu and Guangneng Dong

This paper aims to study different morphology Cu6Sn5 effect on Babbitt alloy tribological properties.

Abstract

Purpose

This paper aims to study different morphology Cu6Sn5 effect on Babbitt alloy tribological properties.

Design/methodology/approach

Different morphology Cu6Sn5 of Babbitt was conducted by different cooling modes. Bare Babbitt was marked by Babbitt-0, Babbitt modified by first cooling mode (marked by Babbitt-1) and Babbitt modified by second cooling mode (marked by Babbitt-2). The microstructure and microhardness of specimens were tested. Then, tribological properties of Babbitt-0, Babbitt-1 and Babbitt-2 were performed by reciprocating mode under lubricated condition.

Findings

The results showed that shape Cu6Sn5 of Babbitt was changed from mixed needle and star-like shape to short rod-like or granular shape. The microhardness of Babbitt-1 was highest than that of Babbitt-0 and Babbitt-2. Compared with Babbitt-0 and Babbitt-2, tribological properties of Babbitt-1 were better under lubricated condition due to short rod-like and sparse distribution of Cu6Sn5. Moreover, the simulation result of strain and stress of Babbitt-1 was lowest than that of Babbitt-0 and Babbitt-2.

Originality/value

Different morphology (shape and distributed) of Cu6Sn5 was obtained by different cooling modes. Modulated different forms of Cu6Sn5 around SnSb was beneficial to improve Babbitt alloy tribological properties.

Details

Industrial Lubrication and Tribology, vol. 74 no. 5
Type: Research Article
ISSN: 0036-8792

Keywords

Article
Publication date: 13 July 2023

Xiao-Ling Wang, Ming-Yue Wang and Jun-Na Liu

Employees’ bootlegging innovation behavior is common and plays an important role in enterprise management. Based on the resource conservation theory and self-regulation theory…

Abstract

Purpose

Employees’ bootlegging innovation behavior is common and plays an important role in enterprise management. Based on the resource conservation theory and self-regulation theory, the purpose of this study is to explore the influence mechanism of leaders’ abusive supervision on employees’ bootlegging innovation behavior, with psychological safety as a mediator and mindfulness at workplace as a moderator.

Design/methodology/approach

Survey data were gathered from 591 employees’ self-assessment questionnaires in China. Hierarchical regression analysis was used to test the research model through SPSS and AMOS.

Findings

This study found that the leaders’ abusive supervision negatively affects employees’ bootlegging innovation behavior; employees’ psychological safety completely mediates the negative effect of leaders’ abusive supervision on employees’ bootlegging innovation behavior; and mindfulness at work moderates the influence of leaders’ abusive supervision on employee’ bootlegging innovation behavior, as well as the influence of leaders’ abusive supervision on employees’ psychological safety.

Research limitations/implications

This study has significant implications in passive leadership that affect employees’ innovation. Authors found that leaders’ abusive supervise, mindfulness at workplace play a crucial role in employees’ bootleg innovation through psychological safety.

Originality/value

Theoretically, this study has enriched the antecedent research on employees’ bootlegging innovation behavior from the perspective of negative leadership behavior and employee psychology. And this study considered mindfulness at workplace as a boundary condition.

Details

International Journal of Conflict Management, vol. 34 no. 5
Type: Research Article
ISSN: 1044-4068

Keywords

Article
Publication date: 12 February 2019

Xingwen Chen, Jun Liu, Yiwei Yuan and Xun Cui

Previous research has yielded inconsistent findings of the effects that task conflict has on creative outcomes, with some research finding a negative relationship but others…

Abstract

Purpose

Previous research has yielded inconsistent findings of the effects that task conflict has on creative outcomes, with some research finding a negative relationship but others holding a positive or even no significant relationship. Drawing on the too-much-of-a-good-thing effect approach, this paper aims to investigate the curvilinear relations between task conflict and creative idea generation as well as the mediating role of task reflexivity and the moderating role of task complexity.

Design/methodology/approach

Two studies were carried out to test the proposed relationship. In Study 1, multisource and lagged data collected from 533 employees and 140 corresponding supervisors were used to test the curvilinear relationship between task conflict and creative idea generation as well as the moderating effect of task complexity. In Study 2, the authors extended the findings by exploring the mediating effect of task reflexivity using a matched sample of 350 employees and 99 corresponding supervisors.

Findings

Task conflict had an inverted U-shaped relationship with creative idea generation, and task reflexivity partially mediated this relationship. Besides, this association was moderated by task complexity such that the curvilinear relationship was more pronounced for tasks with lower complexity.

Research limitations/implications

This study was more or less contaminated by common method variance because some variables were derived from the same sources. Also, task conflict might be necessitated to differentiate and more situational variables should be considered to draw a complete picture.

Practical implications

Managers should undertake conflict management according to the levels of task conflict and task complexity. At a lower degree of task conflict, managers might motivate employees to think more about task-related issues; at higher levels of task conflict, managers should act as conflict mediators to reduce the underlying negative effects, especially for simple tasks.

Originality/value

These findings could help us understand the boundary conditions under, and the underlying mechanisms by, which task conflict has an impact on creative idea generation.

Details

International Journal of Conflict Management, vol. 30 no. 2
Type: Research Article
ISSN: 1044-4068

Keywords

Article
Publication date: 5 December 2023

Jun Liu, Sike Hu, Fuad Mehraliyev, Haiyue Zhou, Yunyun Yu and Luyu Yang

This study aims to establish a model for rapid and accurate emotion recognition in restaurant online reviews, thus advancing the literature and providing practical insights into…

Abstract

Purpose

This study aims to establish a model for rapid and accurate emotion recognition in restaurant online reviews, thus advancing the literature and providing practical insights into electronic word-of-mouth management for the industry.

Design/methodology/approach

This study elaborates a hybrid model that integrates deep learning (DL) and a sentiment lexicon (SL) and compares it to five other models, including SL, random forest (RF), naïve Bayes, support vector machine (SVM) and a DL model, for the task of emotion recognition in restaurant online reviews. These models are trained and tested using 652,348 online reviews from 548 restaurants.

Findings

The hybrid approach performs well for valence-based emotion and discrete emotion recognition and is highly applicable for mining online reviews in a restaurant setting. The performances of SL and RF are inferior when it comes to recognizing discrete emotions. The DL method and SVM can perform satisfactorily in the valence-based emotion recognition.

Research limitations/implications

These findings provide methodological and theoretical implications; thus, they advance the current state of knowledge on emotion recognition in restaurant online reviews. The results also provide practical insights into intelligent service quality monitoring and electronic word-of-mouth management for the industry.

Originality/value

This study proposes a superior model for emotion recognition in restaurant online reviews. The methodological framework and steps are elucidated in detail for future research and practical application. This study also details the performances of other commonly used models to support the selection of methods in research and practical applications.

Details

International Journal of Contemporary Hospitality Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 27 September 2022

Mingyue Xie, Jun Liu, Shuyu Chen and Mingwei Lin

As the core technology of blockchain, various consensus mechanisms have emerged to satisfy the demands of different application scenarios. Since determining the security…

Abstract

Purpose

As the core technology of blockchain, various consensus mechanisms have emerged to satisfy the demands of different application scenarios. Since determining the security, scalability and other related performance of the blockchain, how to reach consensus efficiently of consensus mechanism is a critical issue in the blockchain.

Design/methodology/approach

The paper opted for a research overview on the blockchain consensus mechanism, including the consensus mechanisms' consensus progress, classification and comparison, which are complemented by documentary analysis.

Findings

This survey analyzes solutions for the improvement of consensus mechanisms in blockchain that have been proposed during the last few years and suggests future research directions around consensus mechanisms. First, the authors outline the consensus processes, the advantages and disadvantages of the mainstream consensus mechanisms. Additionally, the consensus mechanisms are subdivided into four types according to their characteristics. Then, the consensus mechanisms are compared and analyzed based on four evaluation criteria. Finally, the authors summarize the representative progress of consensus mechanisms and provide some suggestions on the design of consensus mechanisms to make further advances in this field.

Originality/value

This paper summarizes the future research development of the consensus mechanisms.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 16 no. 2
Type: Research Article
ISSN: 1756-378X

Keywords

Article
Publication date: 15 October 2020

Hangduo Gao, Zhao Yin, Jun Liu, Quansheng Zang and Gao Lin

The purpose of this paper is to analyze the liquid sloshing behaviors in two-dimensional tanks with various porous baffles under the external excitation.

Abstract

Purpose

The purpose of this paper is to analyze the liquid sloshing behaviors in two-dimensional tanks with various porous baffles under the external excitation.

Design/methodology/approach

Adopting the finite element method (FEM) and control variable method to study the impacts of the height, length, number, location, shape, porous-effect parameter of the porous baffle, the external load frequency and the shape of the tank on the liquid sloshing response.

Findings

The amplitude of the free surface can be reduced effectively when the baffle opening is appropriate. The anti-sway ability of the system increases in pace with the baffle’s height growing. Under the same conditions, the shapes of the baffles have an important effect on improving the anti-sway ability of the system.

Originality/value

As there exist the differences of the velocity potential between each side of the porous baffle, which means that there are two different velocity potentials at a point on the porous baffle, the conventional finite element modeling technologies are not suitable to be applied here. To deal with this problem, the points on the porous baffle are regarded as two nodes with the same coordinate to model and calculate.

Details

Engineering Computations, vol. 38 no. 5
Type: Research Article
ISSN: 0264-4401

Keywords

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