Wenchao Zhang, Enming Cui, Cheng Wang, Baoquan Zhang, Jiwei Jin, Pengfei Zhang, Wending Wu and Mingwei Wang
An investigation was conducted into the impact of various process parameters on the surface and subsurface quality of glass-ceramic materials, as well as the mechanism of material…
Abstract
Purpose
An investigation was conducted into the impact of various process parameters on the surface and subsurface quality of glass-ceramic materials, as well as the mechanism of material removal and crack formation, through the use of ultrasonic-assisted grinding.
Design/methodology/approach
A mathematical model of crack propagation in ultrasonic-assisted grinding was established, and the mechanism of crack formation was described through the model. A series of simulations and experiments were conducted to investigate the impact of process parameters on crack depth, surface roughness, and surface topography during ultrasonic-assisted surface and axial grinding. Additionally, the mechanism of crack formation was explored.
Findings
During ultrasonic-assisted grinding, the average grinding forces are between 0.4–1.0 N, which is much smaller than that of ordinary grinding (1.0–3.5 N). In surface grinding, the maximum surface stresses between the workpiece and the tool gradually decrease with the tool speed. The surface stresses of the workpiece increase with the grinding depth, and the depth of subsurface cracks increases with the grinding depth. With the increase of the axial grinding speed, the subsurface damage depth increases. The roughness increases from 0.780um/1.433um.
Originality/value
A mathematical model of crack propagation in ultrasonic-assisted grinding was established, and the mechanism of crack formation was described through the model. The deformation involved in the grinding process is large, and the FEM-SPH modeling method is used to solve the problem that the results of the traditional finite element method are not convergent and the calculation efficiency is low.
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Keywords
Md. Abu Saeed Palash, Md. Shamim Talukder, A.K.M. Najmul Islam and Yukun Bao
Facial recognition payment (FRP) has been attracting attention as an alternative payment mode. This research aims to investigate the future use of FRP for both mobile payment and…
Abstract
Purpose
Facial recognition payment (FRP) has been attracting attention as an alternative payment mode. This research aims to investigate the future use of FRP for both mobile payment and point of sale payment.
Design/methodology/approach
The body of information on this topic is promoted by proposing the valence framework, where the authors used relative advantage, initial trust, perceived playfulness and need for uniqueness as positive valence, and perceived risk, technophobia and perceived complexity as negative valence. This study also investigated the moderating effect of personal innovativeness on consumers' behavioral intention to use FRP-based payments. The authors collected data from 392 FRP users from China to test the model. The authors used structural equation modeling (SEM) to evaluate the significant determinants influencing FRP use.
Findings
The authors found that relative advantage and privacy risk are the two most influential predictors of FRP use. The findings indicate that personal innovativeness acts as a moderator between negative valence and behavioral intention. This study provides valuable policy guidelines for the mobile or point of sale (POS) payment companies for adding FRP service into their default payment method.
Originality/value
FRP is a relatively new technology that has not received much research attention in information system (IS) literature. Most studies on payment investigated enablers, and less effort has been given to study both enablers and inhibitors together. Furthermore, the authors employed SEM-based analysis to identify the most important factors influencing consumers' future use decisions.
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Mingwei Tian, Zongqian Wang, Lijun Qu, Ke Wang, Shifeng Zhu, Xiansheng Zhang and Ruichao Liu
Nylon 6 filaments have weak light and heat resistance in terms of stability, which restrict its application in engineering field. The purpose of this paper is to prepare a new…
Abstract
Purpose
Nylon 6 filaments have weak light and heat resistance in terms of stability, which restrict its application in engineering field. The purpose of this paper is to prepare a new photo-stabilization functional nanocomposite inks by using graphene nanosheet as UV light-resisting functional materials incorporated with polyurethane.
Design/methodology/approach
Sunlight-resisting functional nylon filaments were produced by the continuous solution dip coating technology, through which the functional inks was coated on the surface of nylon 6 filament. The surface morphology of the coated filaments was characterized by scanning electron microscopy and the graphene/polyurethane nanocomposite inks as the coating agent was confirmed and well dispersed on the fiber’s surface.
Findings
Under UV exposure, the strength loss rate of the graphene-modified nylon filaments was less than 50 percent, while that of the control nylon filament was over 85 percent, which indicated that graphene remarkably enhanced the light-resistant property of nylon. Besides, graphene/polyurethane-coated Nylon 6 filaments exhibited reasonable electrical properties and the electrical conductivity could reach 10–4 S/cm.
Originality/value
Graphene inks was first proposed as the UV photo-stabilization in this paper.
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Keywords
Mingwei Hu, Hongguang Wang, Xinan Pan and Yong Tian
The purpose of this paper is to search the optimal arrangement scheme of random motion accuracy of joints for optimal synthesis of pose repeatability which can make robot design…
Abstract
Purpose
The purpose of this paper is to search the optimal arrangement scheme of random motion accuracy of joints for optimal synthesis of pose repeatability which can make robot design more reasonable and reduce the development cost of robots.
Design/methodology/approach
In this paper, a mathematical model of pose repeatability, which includes positioning repeatability and orientation repeatability of robots, is established. According to the ISO 9283 standard, an optimal synthesis method of pose repeatability for collaborative robots is introduced, and three optimization objective functions are proposed. The optimization model is solved by using numerical analysis software, and the optimal arrangement scheme of random motion accuracy of joints is obtained which meets the requirements of pose repeatability of robot.
Findings
It is found that, in three optimization objective functions, the single-objective evaluation function of maximization of joint motion error is more suitable for optimal synthesis of pose repeatability. In practice, due to the safety factor, the test results of pose repeatability are better than the results of optimal synthesis of pose repeatability.
Practical implications
This method makes robot design more reasonable and reduces the development cost of robots.
Originality/value
This work is the first time to optimize the orientation repeatability of collaborative robots. Because the pose repeatability of most robots is tested by the ISO 9283 standard, so this method which is based on this standard is more suitable for the performance requirements of robot products.
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Keywords
Jiaojiao Qu, Mingwei Liu, Shuming Zhao, Yixuan Zhao and Xia Cao
The function of cognitive diversity has not yet been studied to a sufficient degree. To address this gap, the current study aims to answer the questions of how and when team…
Abstract
Purpose
The function of cognitive diversity has not yet been studied to a sufficient degree. To address this gap, the current study aims to answer the questions of how and when team cognitive diversity fosters individual creativity by integrating the intellectual capital view and the inclusion literature.
Design/methodology/approach
With a paired and time-lagged sample consisting of 368 members and 46 leaders from Chinese high-tech organizations, a multilevel moderated mediation model was developed to test the hypothesized relationships using structural equation modeling.
Findings
Team cognitive diversity is positively related to individual creativity via team intellectual capital, but this positive indirect effect is obtained only when the inclusive team climate is high.
Research limitations/implications
Team intellectual capital serves as an alternative mechanism for translating team cognitive diversity into favorable outcomes, and an inclusive team climate plays a pivotal role in harvesting the benefits of team cognitive diversity. Future research could extend our study by adopting a multiwave longitudinal or experimental design, examining the possibility of curvilinearity, considering the changes in patterns over time, and conducting cross-cultural studies.
Practical implications
Managers should take the initiative to assemble a team featuring cognitive diversity when facing creative tasks, and should proactively cultivate an inclusive culture when leading such a team.
Originality/value
This study is among the first to consider the mediating role of team intellectual capital in the cross-level effect of team cognitive diversity on individual creativity and to examine the boundary role of an inclusive team climate with respect to this indirect effect.
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Keywords
Tingxi Wang, Boming Yu, Mingwei Liu and Yue Zhou
The primary purpose of this study is to investigate the relationship between leader bottom-line mentality (BLM) and employee innovative behavior, which may be interpreted by…
Abstract
Purpose
The primary purpose of this study is to investigate the relationship between leader bottom-line mentality (BLM) and employee innovative behavior, which may be interpreted by employees’ perceived creativity expectations and moderated by employee time orientation.
Design/methodology/approach
A multi-wave and multi-source questionnaire survey with 259 paired Chinese employee–leader dyads provided data to test the theoretical model. Hypotheses were tested with Statistical Package for the Social Sciences (SPSS).
Findings
Consistent with hypotheses, leader BLM reduces employees’ perceived creativity expectations and thus inhibits employees’ innovative behavior, and this effect is stronger for employees with short-term orientation.
Practical implications
Our findings highlight the negative influences of leader BLM on innovative behavior and the buffering role of employees’ long-term orientation. Organizations may incorporate BLM in leadership promotion and evaluation and provide corresponding training for leaders to overcome BLM. In addition, long-term orientation can be a valuable indicator in employee recruitment and selection.
Originality/value
This study contributes to a new theoretical perspective of the Pygmalion effects for understanding leader BLM’s influence on employee innovative behavior.
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Keywords
Weixing Wang, Yixia Chen and Mingwei Lin
Based on the strong feature representation ability of the convolutional neural network (CNN), generous object detection methods in remote sensing (RS) have been proposed one after…
Abstract
Purpose
Based on the strong feature representation ability of the convolutional neural network (CNN), generous object detection methods in remote sensing (RS) have been proposed one after another. However, due to the large variation in scale and the omission of relevant relationships between objects, there are still great challenges for object detection in RS. Most object detection methods fail to take the difficulties of detecting small and medium-sized objects and global context into account. Moreover, inference time and lightness are also major pain points in the field of RS.
Design/methodology/approach
To alleviate the aforementioned problems, this study proposes a novel method for object detection in RS, which is called lightweight object detection with a multi-receptive field and long-range dependency in RS images (MFLD). The multi-receptive field extraction (MRFE) and long-range dependency information extraction (LDIE) modules are put forward.
Findings
To concentrate on the variability of objects in RS, MRFE effectively expands the receptive field by a combination of atrous separable convolutions with different dilated rates. Considering the shortcomings of CNN in extracting global information, LDIE is designed to capture the relationships between objects. Extensive experiments over public datasets in RS images demonstrate that our MFLD method surpasses the state-of-the-art methods. Most of all, on the NWPU VHR-10 dataset, our MFLD method achieves 94.6% mean average precision with 4.08 M model volume.
Originality/value
This paper proposed a method called lightweight object detection with multi-receptive field and long-range dependency in RS images.
Details
Keywords
Juan Chen, Mingwei Li and Chen Xie
A transportation connectivity strategy is a crucial part of an adaptive, congruent and sustainable tourism transportation system and is of concern to countries focusing on growing…
Abstract
Purpose
A transportation connectivity strategy is a crucial part of an adaptive, congruent and sustainable tourism transportation system and is of concern to countries focusing on growing their tourism economy. This study aims to gain a better understanding of the relationship between transportation connectivity and the tourism economy through a configuration analysis.
Design/methodology/approach
This study uses fuzzy-set qualitative comparative analysis on a sample of 153 cities in China to provide an understanding of the impacts of transportation connectivity strategies, with the co-effecting factors of socio-economic status, tourism resource endowment and hospitality capacity, on the development of regional tourism economies.
Findings
There are multiple paths that lead to regional tourism economic development (a high level of tourist arrivals or a high level of tourism revenue). High-speed rail can play a supportive role, while air travel or traditional rail remains central to the tourism economy. Socio-economic status (i.e. city size and city gross domestic product) and hospitality capacity are identified as crucial influencers for the development of the tourism economy.
Research limitations/implications
This study confirms the validity of deploying configuration analysis (based on the equifinality theory) to establish the relationship between transportation and the tourism economy. The finding of more than one configuration led to a new consensus on how multiple factors influence the tourism economy.
Practical implications
Suggestions on transportation connectivity strategies for different regions are provided.
Originality/value
This study demonstrates the need to place greater emphasis on configurations that lead to tourism economy development instead of the effect of a single transportation mode.
摘要
目的
交通连接策略, 作为打造具备适应性、一致性、可持续性的旅游交通系统的重要环节, 被重视旅游经济增长的国家密切关注。组态分析有助于更好地理解交通连接与旅游经济之间的关系。
设计/方法/方式
本研究以中国的153个城市为样本, 使用模糊集定性比较分析方法(fsQCA), 研究交通连接策略、社会经济水平、旅游资源禀赋、酒店接待能力等协同因素对区域旅游经济发展的影响。
研究结果
有多种组态可以导致区域旅游经济的发展(表现为高水平的游客人数或高水平的旅游收入)。航空旅行或传统铁路仍然是影响旅游经济发展的核心条件, 而高铁可以发挥支持作用。社会经济水平(即城市规模和城市生产总值)和酒店接待能力被认为是影响旅游经济发展的关键因素。
理论局限性/意义
本研究证实了应用组态分析(基于等效性理论)建立交通连接策略与旅游经济之间关系的有效性。不唯一的多组态的发现会推动关于多种因素如何影响旅游经济的新共识形成。
实践意义
本研究针对不同地区提出交通连通策略的建议。
原创性/价值
本研究表明, 比起考虑单一交通方式产生的影响, 探索旅游经济发展需要更加重视多种交通连接策略的配置。
Abstracto
Resumen
Propósito
Una estrategia de conectividad del transporte es una parte crucial de un sistema de transporte turístico adaptable, congruente y sostenible, y es de interés para los países que se centran en el crecimiento de su economía turística. Un análisis de la configuración puede ayudar a comprender mejor la relación entre la conectividad del transporte y la economía del turismo.
Diseño/metodología/enfoque
Este estudio utiliza el análisis comparativo cualitativo de conjuntos difusos (fsQCA) en una muestra de 153 ciudades de China para proporcionar una comprensión de los impactos de las estrategias de conectividad del transporte, con los factores coadyuvantes de la situación socioeconómica, la dotación de recursos turísticos y la capacidad de hospitalidad, en el desarrollo de las economías turísticas regionales.
Conclusiones
Existen múltiples vías que conducen al desarrollo económico del turismo regional (un alto nivel de llegadas de turistas o un alto nivel de ingresos por turismo). El ferrocarril de alta velocidad puede desempeñar un papel de apoyo, mientras que el transporte aéreo o el ferrocarril tradicional siguen siendo fundamentales para la economía turística. El estatus socioeconómico (es decir, el tamaño de la ciudad y el PIB de la ciudad) y la capacidad de hospitalidad se identifican como factores de influencia cruciales para el desarrollo de la economía del turismo.
Limitaciones/implicaciones de la investigación
Este estudio confirma la validez de utilizar el análisis de configuración (basado en la teoría de la equifinalidad) para establecer la relación entre el transporte y la economía del turismo. El hallazgo de más de una configuración condujo a un nuevo consenso sobre cómo influyen los múltiples factores en la economía del turismo.
Implicaciones practices
Se proporciona una tipología de estrategias de conectividad del transporte para diferentes regiones.
Originalidad/valor
Este estudio demuestra la necesidad de poner mayor énfasis en las configuraciones que conducen al desarrollo de la economía turística en lugar del efecto de un único modo de transporte.
Details
Keywords
- Fuzzy-set qualitative comparative analysis
- Tourism revenue
- Tourist arrivals
- High-speed rail
- Tourism economy
- Transportation connectivity strategy
- 关键词:旅游经济
- 交通连接策略
- 高铁
- 游客人数
- 旅游收入
- 模糊集定性比较分析
- Palabras clave: Economía turística
- Estrategia de conectividad del transporte
- Ferrocarril de alta velocidad
- Llegadas de turistas
- Ingresos por turismo
- Análisis comparativo cualitativo de conjuntos difusos
Yuhan Luo and Mingwei Lin
The purpose of this paper is to make an overview of 474 publications and 512 patents of FTL from 1987 to 2020 in order to provide a conclusive and comprehensive analysis for…
Abstract
Purpose
The purpose of this paper is to make an overview of 474 publications and 512 patents of FTL from 1987 to 2020 in order to provide a conclusive and comprehensive analysis for researchers in this field, as well as a preliminary knowledge of FTL for interested researchers.
Design/methodology/approach
Firstly, the FTL algorithms are classified and its functions are introduced in detail. Secondly, the structures of the publications are analyzed in terms of the fundamental information and the publication of the most productive countries/regions, institutions and authors. After that, co-citation networks of institutions, authors and papers illustrated by VOS Viewer are given to show the relationship among those and the most influential of them is further analyzed. Then, the characteristics of the patent are analyzed based on the basic information and classification of the patent and the most productive inventors. In order to obtain research hotspots and trends in this field, the time-line review and citation burst detection of keywords carried out by Cite Space are made to be visual. Finally, based on the above analysis, it draws some other important conclusions and the development trend of this field.
Findings
The research on FTL algorithm is still the top priority in the future, and how to improve the performance of SSD in the era of big data is one of the research hotspots.
Research limitations/implications
This paper makes a comprehensive analysis of FTL with the method of bibliometrics, and it is valuable for researchers can quickly grasp the hotspots in this area.
Originality/value
This article draws the structural characteristics of the publications in this field and summarizes the research hotspots and trends in this field in recent years, aiming to inspire new ideas for researchers.
Details
Keywords
Mingwei Lin, Yanqiu Chen and Riqing Chen
The purpose of this paper is to make a comprehensive analysis of 354 publications about Pythagorean fuzzy sets (PFSs) from 2013 to 2020 in order to comprehensively understand…
Abstract
Purpose
The purpose of this paper is to make a comprehensive analysis of 354 publications about Pythagorean fuzzy sets (PFSs) from 2013 to 2020 in order to comprehensively understand their historical progress and current situation, as well as future development trend.
Design/methodology/approach
First, this paper describes the fundamental information of these publications on PFSs, including their data information, annual trend and prediction and basic features. Second, the most productive and influential authors, countries/regions, institutions and the most cited documents are presented in the form of evaluation indicators. Third, with the help of VOSviewer software, the visualization analysis is conducted to show the development status of PFSs publications at the level of authors, countries/regions, institutions and keywords. Finally, the burst detection of keywords, timezone review and timeline review are exported from CiteSpace software to analyze the hotspots and development trend on PFSs.
Findings
The annual PFSs publications present a quickly increasing trend. The most productive author is Wei Guiwu (China). Wei Guiwu and Wei Cun have the strongest cooperative relationship.
Research limitations/implications
The implication of this study is to provide a comprehensive perspective for the scholars who take a fancy to PFSs, and it is valuable for scholars to grasp the hotspots in this field in time.
Originality/value
It is the first paper that uses the bibliometric analysis to comprehensively analyze the publications on PFSs. It can help the scholars in the field of PFSs to quickly understand the development status and trend of PFSs.