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Article
Publication date: 20 September 2019

Hongmei Liu and Tat Leung Chan

The purpose of this paper is to study the evolution and growth of aerosol particles in a turbulent planar jet by using the newly developed large eddy simulation…

191

Abstract

Purpose

The purpose of this paper is to study the evolution and growth of aerosol particles in a turbulent planar jet by using the newly developed large eddy simulation (LES)-differentially weighted operator splitting Monte Carlo (DWOSMC) method.

Design/methodology/approach

The DWOSMC method is coupled with LES for the numerical simulation of aerosol dynamics in turbulent flows.

Findings

Firstly, the newly developed and coupled LES-DWOSMC method is verified by the results obtained from a direct numerical simulation-sectional method (DNS-SM) for coagulation occurring in a turbulent planar jet from available literature. Then, the effects of jet temperature and Reynolds number on the evolution of time-averaged mean particle diameter, normalized particle number concentration and particle size distributions (PSDs) are studied numerically on both coagulation and condensation processes. The jet temperature and Reynolds number are shown to be two important parameters that can be used to control the evolution and pattern of PSD in an aerosol reactor.

Originality/value

The coupling between the Monte Carlo method and turbulent flow still encounters many technical difficulties. In addition, the relationship between turbulence, particle properties and collision kernels of aerosol dynamics is not yet well understood due to the theoretical limitations and experimental difficulties. In the present study, the developed and coupled LES-DWOSMC method is capable of solving the aerosol dynamics in turbulent flows.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 30 no. 2
Type: Research Article
ISSN: 0961-5539

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Article
Publication date: 6 March 2017

Yujie Cheng, Hang Yuan, Hongmei Liu and Chen Lu

The purpose of this paper is to propose a fault diagnosis method for rolling bearings, in which the fault feature extraction is realized in a two-dimensional domain using scale…

380

Abstract

Purpose

The purpose of this paper is to propose a fault diagnosis method for rolling bearings, in which the fault feature extraction is realized in a two-dimensional domain using scale invariant feature transform (SIFT) algorithm. This method is different from those methods extracting fault feature directly from the traditional one-dimensional domain.

Design/methodology/approach

The vibration signal of rolling bearings is first transformed into a two-dimensional image. Then, the SIFT algorithm is applied to the image to extract the scale invariant feature vector which is highly distinctive and insensitive to noises and working condition variation. As the extracted feature vector is high-dimensional, kernel principal component analysis (KPCA) algorithm is utilized to reduce the dimension of the feature vector, and singular value decomposition technique is used to extract the singular values of the reduced feature vector. Finally, these singular values are introduced into a support vector machine (SVM) classifier to realize fault classification.

Findings

The experiment results show a high fault classification accuracy based on the proposed method.

Originality/value

The proposed approach for rolling bearing fault diagnosis based on SIFT-KPCA and SVM is highly effective in the experiment. The practical value in engineering application of this method can be researched in the future.

Details

Engineering Computations, vol. 34 no. 1
Type: Research Article
ISSN: 0264-4401

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Article
Publication date: 13 December 2021

Hongmei Liu, Guoxiang Li and Keqiang Wang

The contradiction of construction land in economically developed regions is becoming more prominent, and the scale of construction land in some large cities is close to the…

506

Abstract

Purpose

The contradiction of construction land in economically developed regions is becoming more prominent, and the scale of construction land in some large cities is close to the ceiling. Therefore, China implemented the policy of construction land reduction in 2014. The main objective is to optimize the stock of homesteads and then help to realize rural revitalization by transferring land indexes across regions. Shanghai took the lead in implementing the reduction policy in 2014, for which reduction acceptance data are available. Thus, this paper evaluates the impact of homestead reduction on rural economic development based on data from towns in Shanghai.

Design/methodology/approach

This paper uses the difference-in-difference (DID) model to analyze the policy effects of homestead reduction on rural residents' income and industrial integration development. Using economic agglomeration (EA) as a mediating variable, the authors explore how homestead reduction (HR) promotes EA to drive rural economic development and analyze the impact of geographic location and government investment.

Findings

HR significantly promotes rural economic development and shows a significant cumulative effect. In the long run, HR can improve rural residents' income and promote industrial integration by promoting EA. The positive effect of HR and EA in suburban regions on industrial integration development is gradually increasing. However, the incentive effect on rural residents' income is weakening. The positive mediating effect of EA is significantly higher in regions with low government investment than in regions with high government investment.

Originality/value

This paper contributes to testing the impact of HR policy on rural economic development and can provide a reference for other regions aiming to implement reduction policy.

Details

China Agricultural Economic Review, vol. 14 no. 2
Type: Research Article
ISSN: 1756-137X

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Article
Publication date: 6 June 2016

Keqiang Wang, Hongmei Liu, Wuyang Hu and Linda Cox

Dolphin excursions have become increasingly popular worldwide. Many past studies assessing the value of dolphin excursions use choice-based methods such as the conjoint analysis…

480

Abstract

Purpose

Dolphin excursions have become increasingly popular worldwide. Many past studies assessing the value of dolphin excursions use choice-based methods such as the conjoint analysis. However, this method is often criticized as being hypothetical. The purpose of this paper is to describe a relatively low cost but effective approach to enhance understanding of consumer preference obtained by conjoint analysis. The method relies heavily on using internet-based survey tools.

Design/methodology/approach

Enabled by an online tool, individuals are asked to self-explicate their preferred alternatives using the same attributes as are found in the conjoint design. The difference between the self-constructed, preferred alternatives and those offered in conjoint experiment are incorporated into choice models. Unlike previous research where only rough estimates can be provided, the proposed method allows precise capture of respondents’ preferred alternative through the automated online survey design.

Findings

Results show that although the extra effort involved in data collection is small, the gain in model fit, choice interpretation, and the value (welfare) estimation is sizeable. Evidence indicates that consumers would be willing to pay up to $50 more for adventurous excursions and guarantees that they will interact with dolphins could worth up to $70 per trip. The approach presented in this paper can also serve as a method to test for preference consistency.

Originality/value

This study is the first using an online survey to assess values associated with dolphin excursion. It describes the benefit of involving online tools to enhance modeling and interpretation of consumer behavior. Applications of internet-based surveys on household consumer products are abundant (such as food and electronics) but this study offers a much less discussed application in environmental service.

Details

Internet Research, vol. 26 no. 3
Type: Research Article
ISSN: 1066-2243

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Article
Publication date: 9 September 2013

Hongmei Liu, Kah-Hin Chai and James F. Nebus

This paper aims to provide a systematic framework for organizations to analyze their knowledge reuse processes, and balance codification and personalization within their knowledge

1636

Abstract

Purpose

This paper aims to provide a systematic framework for organizations to analyze their knowledge reuse processes, and balance codification and personalization within their knowledge strategy according to cost/benefit analysis.

Design/methodology/approach

This paper divides knowledge reuse process into a sequence of five stages, and accordingly analyzes costs/benefits under codification and personalization strategies. Markov decision process, a mathematical framework for multi-stage decision-making, is employed to optimize a mixed strategy for knowledge reuse processes within an organization.

Findings

Organizations need to consider factors such as the number of reusable knowledge items, reuse patterns, and intra-organizational interest alignment which are critical to determine their optimal mix between codification and personalization. Companies should determine a knowledge strategy based on their knowledge reuse contexts instead of following success cases blindly.

Research limitations/implications

This paper presents an illustrative example to show how this framework might be applied by an organization. However, the validity and reliability of strategic decision-making also depends on the accuracy of the model's parameter values. Firms can adopt many methods as surveys, Delphi method, to determine the parameter values.

Practical implications

The proposed framework offers an opportunity for firms to gain insights by setting the model's parameters to their own reuse contexts/characteristics and conducting what-if analysis.

Originality/value

This paper proposes a formal framework for analyzing knowledge reuse processes and offers organizations guidelines about decision-making of knowledge strategies.

Details

Journal of Knowledge Management, vol. 17 no. 5
Type: Research Article
ISSN: 1367-3270

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Article
Publication date: 3 February 2021

Hongmei Zhang, Shanshan Liu and Billy Bai

The primary purpose of this study is to investigate the image transfer and its effects on exhibitors’ behavioral intention. Specifically, the study attempted to examine the effect…

890

Abstract

Purpose

The primary purpose of this study is to investigate the image transfer and its effects on exhibitors’ behavioral intention. Specifically, the study attempted to examine the effect of mega business event image on destination and country image from exhibitors’ perspective and the effect of mega business event image on exhibitors’ behavioral intention toward the event.

Design/methodology/approach

The data for this study were collected through an on-site survey. Based on a sample of 393 respondents, structural equation modeling was used to test the proposed hypotheses.

Findings

The results showed that business event image has a stronger effect on country image than on destination image; event image has a significant effect on exhibitor’s behavioral intention toward the event directly and indirectly through the mediating role of country image; and country image has a significant influence on destination image.

Practical implications

The event organizer should improve the exhibitor’s perceptions of the event experience from providing a clear and attractive theme for the target audiences; exhibiting the products with the most cutting-edge technologies and offering various opportunities for forums and promotions; and planning and organizing the event in every detail carefully including the facilities, layout of booths, ambience and other related services.

Originality/value

The study expands the event type to business events, explores the image transfer process between event, destination and country and examines the effects of such image transfer on the exhibitors’ behavioral intention. The results confirm the explanatory power of image transfer theory. Attribution theory and halo effect are viewed as the mechanisms of image transfer.

研究目的

本研究的主要目的是考察形象迁移及其对参展商行为意向的影响。具体而言, 本研究(1)从参展商视角, 探讨大型商务活动形象对目的地和国家形象的影响; (2)探讨重大商务活动形象对参展商行为意向的影响。

研究设计/方法/途径

本研究的数据通过现场调查收集, 基于393份问卷, 使用结构方程模型检验研究假设。

研究发现

研究结果表明:(1)商务活动形象对国家形象的影响比对目的地形象的影响更大; (2)通过国家形象的中介作用, 大型商务活动形象直接或间接地影响了参展商的行为意图; (3)国家形象显著影响目的地形象。

实践意义

活动组织者应从以下方面改善参展商对活动体验的认识:(1)提供清晰且有吸引力的主题; (2)展示具有最前沿技术的产品, 并提供各种论坛和促销机会; (3)认真, 细致地筹划和组织活动, 包括设施, 摊位布置, 氛围和其他相关服务。

原创性/价值

本研究将活动类型延伸至商务活动, 探索活动、目的地和国家之间的形象迁移, 检验形象迁移对参展商行为意向的影响。结果证实了形象迁移理论的解释力。归因理论和晕轮效应是形象迁移的内在机制。

Transferencia de imágenes entre un megaevento empresarial, el destino y el país del alojamiento y sus efectos sobre la predisposición de los expositores hacía el evento

Propósito

el objetivo principal de este estudio es investigar la transferencia de imágenes y sus efectos sobre la predisposición de los expositores. Específicamente, el estudio intentó examinar (1) el efecto de la imagen de megaevento de negocios en la imagen del destino y del país desde la perspectiva de los expositores y (2) el efecto de la imagen de megaevento de negocios en la predisposición de los expositores hacia el evento.

Diseño/metodología/enfoque

los datos de este estudio se obtuvieron mediante una encuesta in situ. Sobre la base de una muestra de 393 encuestados, se utilizó el modelo de ecuaciones estructurales para probar las hipótesis propuestas.

Resultados

los resultados mostraron que: (1) la imagen del megaevento tiene un efecto más fuerte en la imagen del país que en la del destino; (2) la imagen del evento tiene un efecto significativo directo e indirecto sobre la predisposición del expositor hacia el evento a través del papel mediador de la imagen del país; (3) la imagen del país tiene una influencia significativa en la imagen de destino.

Implicaciones prácticas

el organizador del evento debe mejorar las percepciones del expositor sobre la experiencia del evento (1) proporcionando un tema claro y atractivo para el público objetivo; (2) exhibir los productos con las tecnologías más avanzadas y ofrecer diversas oportunidades para foros y promociones; y (3) planificar y organizar el evento cuidando los detalles, incluyendo las instalaciones, el diseño de las cabinas, el ambiente y otros servicios relacionados.

Originalidad/valor

el estudio amplía el tipo de evento a eventos de negocios, explora el proceso de transferencia de imágenes entre evento, destino y país, y examina los efectos de dicha transferencia de imágenes en la predisposición de los expositors hacía el evento. Los resultados confirman el poder explicativo de la teoría de transferencia de imágenes. La teoría de la atribución y el efecto halo son vistos como los mecanismos de transferencia de imágenes.

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Article
Publication date: 2 June 2023

Chris Zhu, Lawrence Hoc Nang Fong, Christy Ying Ni Liu and Hongmei Song

This study aims to investigate the mediating role of attachment to social media influencer between authenticity and enjoyment and then travel intention while watching social media…

2036

Abstract

Purpose

This study aims to investigate the mediating role of attachment to social media influencer between authenticity and enjoyment and then travel intention while watching social media influencer video.

Design/methodology/approach

This study used the survey approach to collect responses from respondents who have watched the social media influencer video. Partial least squares structural equation modeling technique was applied for the data analysis.

Findings

The results indicated that authenticities positively impact tourist attachment to social media influencer, enjoyment and hence visit intention. Attachment to social media influencer mediates the relationships between authenticities and enjoyment.

Originality/value

This study proposes and examines the role of attachment to social media influencers as a mediator between authenticities and tourist responses, which provided meaningful theoretical and practical insights for the future research on social media influencers.

研究目的

本研究旨在调查网络红人依赖在真实性和享受之间的中介作用, 以及在观看网络红人视频时的旅行意愿。

设计/方法

本研究采用问卷调查方法, 收集观看网络红人视频的受访者的回答, 使用PLS结构方程模型技术进行数据分析。

研究结果

结果表明, 真实性对游客对网络红人的依赖、享受和参观意愿具有积极影响。网络红人依赖在真实性和享受之间起到中介作用。

创新性/价值

本研究提出并检验了网络红人依赖作为真实性和游客反应之间的中介角色, 为未来关于网络红人的研究提供了有意义的理论和实践基础。

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Article
Publication date: 11 July 2019

Eryong Liu, Yingxin Zhang, Xiang Wang, Zhixiang Zeng, Huiling Du and Hongmei Qin

This paper aims to improve the tribocorrosion properties of 316L, thus WC/Ni60 coated 316L was prepared by thermal spraying technique.

193

Abstract

Purpose

This paper aims to improve the tribocorrosion properties of 316L, thus WC/Ni60 coated 316L was prepared by thermal spraying technique.

Design/methodology/approach

Composition and microstructure of WC/Ni60 coating was investigated, and tribological properties of 316 L and WC/Ni60 coating were studied under dry sliding, deionized water and artificial seawater.

Findings

The results showed that WC/Ni60 coating was lamellar structure, and the phase composition consisted of γ-Ni solid solution, carbides and borides. Furthermore, the hardness and corrosion resistance of 316 L in static seawater and wear resistance in dry sliding were improved by WC reinforced nickel-based coating. Furthermore, tribocorrosion results demonstrated that wear resistance of WC/Ni60 coating was also significantly better than 316 L, especially for higher load at artificial seawater. The reason can be attributed to the fact that the passive film of WC/Ni60 coating consisted of tungsten carbide, Ni(OH)2 and FeOOH for WC/Ni60 coating and only FeOOH for 316 L.

Originality/value

According to this study, it can be concluded that WC phases acted as a role in resisting the wear damages. Meanwhile, Ni-based materials performed well in corrosion resistance. Thus, the combined-effect Ni-based alloys and WC phases in WC/Ni60 coating showed better tribocorrosion performance than 316 L.

Details

Industrial Lubrication and Tribology, vol. 71 no. 6
Type: Research Article
ISSN: 0036-8792

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Article
Publication date: 21 November 2024

Peng Huang, Hongmei Jiang, Shuxian Wang and Jiandeng Huang

Human behavior recognition poses a pivotal challenge in intelligent computing and cybernetics, significantly impacting engineering and management systems. With the rapid…

4

Abstract

Purpose

Human behavior recognition poses a pivotal challenge in intelligent computing and cybernetics, significantly impacting engineering and management systems. With the rapid advancement of autonomous systems and intelligent manufacturing, there is an increasing demand for precise and efficient human behavior recognition technologies. However, traditional methods often suffer from insufficient accuracy and limited generalization ability when dealing with complex and diverse human actions. Therefore, this study aims to enhance the precision of human behavior recognition by proposing an innovative framework, dynamic graph convolutional networks with multi-scale position attention (DGCN-MPA) to sup.

Design/methodology/approach

The primary applications are in autonomous systems and intelligent manufacturing. The main objective of this study is to develop an efficient human behavior recognition framework that leverages advanced techniques to improve the prediction and interpretation of human actions. This framework aims to address the shortcomings of existing methods in handling the complexity and variability of human actions, providing more reliable and precise solutions for practical applications. The proposed DGCN-MPA framework integrates the strengths of convolutional neural networks and graph-based models. It innovatively incorporates wavelet packet transform to extract time-frequency characteristics and a MPA module to enhance the representation of skeletal node positions. The core innovation lies in the fusion of dynamic graph convolution with hierarchical attention mechanisms, which selectively attend to relevant features and spatial relationships, adjusting their importance across scales to address the variability in human actions.

Findings

To validate the effectiveness of the DGCN-MPA framework, rigorous evaluations were conducted on benchmark datasets such as NTU-RGB + D and Kinetics-Skeleton. The results demonstrate that the framework achieves an F1 score of 62.18% and an accuracy of 75.93% on NTU-RGB + D and an F1 score of 69.34% and an accuracy of 76.86% on Kinetics-Skeleton, outperforming existing models. These findings underscore the framework’s capability to capture complex behavior patterns with high precision.

Originality/value

By introducing a dynamic graph convolutional approach combined with multi-scale position attention mechanisms, this study represents a significant advancement in human behavior recognition technologies. The innovative design and superior performance of the DGCN-MPA framework contribute to its potential for real-world applications, particularly in integrating behavior recognition into engineering and autonomous systems. In the future, this framework has the potential to further propel the development of intelligent computing, cybernetics and related fields.

Details

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

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Article
Publication date: 6 November 2023

Zhiying Wang and Hongmei Jia

Forecasting demand of emergency supplies under major epidemics plays a vital role in improving rescue efficiency. Few studies have combined intuitionistic fuzzy set with…

165

Abstract

Purpose

Forecasting demand of emergency supplies under major epidemics plays a vital role in improving rescue efficiency. Few studies have combined intuitionistic fuzzy set with grey-Markov method and applied it to the prediction of emergency supplies demand. Therefore, this article aims to establish a novel method for emergency supplies demand forecasting under major epidemics.

Design/methodology/approach

Emergency supplies demand is correlated with the number of infected cases in need of relief services. First, a novel method called the Intuitionistic Fuzzy TPGM(1,1)-Markov Method (IFTPGMM) is proposed, and it is utilized for the purpose of forecasting the number of people. Then, the prediction of demand for emergency supplies is calculated using a method based on the safety inventory theory, according to numbers predicted by IFTPGMM. Finally, to demonstrate the effectiveness of the proposed method, a comparative analysis is conducted between IFTPGMM and four other methods.

Findings

The results show that IFTPGMM demonstrates superior predictive performance compared to four other methods. The integration of the grey method and intuitionistic fuzzy set has been shown to effectively handle uncertain information and enhance the accuracy of predictions.

Originality/value

The main contribution of this article is to propose a novel method for emergency supplies demand forecasting under major epidemics. The benefits of utilizing the grey method for handling small sample sizes and intuitionistic fuzzy set for handling uncertain information are considered in this proposed method. This method not only enhances existing grey method but also expands the methodologies used for forecasting demand for emergency supplies.

Highlights (for review)

  1. An intuitionistic fuzzy TPGM(1,1)-Markov method (IFTPGMM) is proposed.

  2. The safety inventory theory is combined with IFTPGMM to construct a prediction method.

  3. Asymptomatic infected cases are taken to forecast the demand for emergency supplies.

An intuitionistic fuzzy TPGM(1,1)-Markov method (IFTPGMM) is proposed.

The safety inventory theory is combined with IFTPGMM to construct a prediction method.

Asymptomatic infected cases are taken to forecast the demand for emergency supplies.

Details

Grey Systems: Theory and Application, vol. 14 no. 1
Type: Research Article
ISSN: 2043-9377

Keywords

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