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Article
Publication date: 11 August 2021

Bin Zheng, Yi Cai and Kelun Tang

The purpose of this paper is to realize the lightweight of connecting rod and meet the requirements of low energy consumption and vibration. Based on the structural design of the…

133

Abstract

Purpose

The purpose of this paper is to realize the lightweight of connecting rod and meet the requirements of low energy consumption and vibration. Based on the structural design of the original connecting rod, the finite element analysis was conducted to reduce the weight and increase the natural frequencies, so as to reduce materials consumption and improve the energy efficiency of internal combustion engine.

Design/methodology/approach

The finite element analysis, structural optimization design and topology optimization of the connecting rod are applied. Efficient hybrid method is deployed: static and modal analysis; and structure re-design of the connecting rod based on topology optimization.

Findings

After the optimization of the connecting rod, the weight is reduced from 1.7907 to 1.4875 kg, with a reduction of 16.93%. The maximum equivalent stress of the optimized connecting rod is 183.97 MPa and that of the original structure is 217.18 MPa, with the reduction of 15.62%. The first, second and third natural frequencies of the optimized connecting rod are increased by 8.89%, 8.85% and 11.09%, respectively. Through the finite element analysis and based on the lightweight, the maximum equivalent stress is reduced and the low-order natural frequency is increased.

Originality/value

This paper presents an optimization method on the connecting rod structure. Based on the statics and modal analysis of the connecting rod and combined with the topology optimization, the size of the connecting rod is improved, and the static and dynamic characteristics of the optimized connecting rod are improved.

Details

Journal of Engineering, Design and Technology , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1726-0531

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Article
Publication date: 1 July 2006

Qun‐Jie Xu, Guo‐Ding Zhou, Hui‐Feng Wang and Wen‐Bin Cai

The aim of this paper is to study the inhibition effect of environmentally friendly inhibitors; polyaspartic acid (PASP), Na2WO4 and the complex of PASP and Na2WO4 for brass and…

500

Abstract

Purpose

The aim of this paper is to study the inhibition effect of environmentally friendly inhibitors; polyaspartic acid (PASP), Na2WO4 and the complex of PASP and Na2WO4 for brass and Cu30Ni alloy (B30) corrosion in simulated cooled water solutions.

Design/methodology/approach

The inhibiting effect was investigated in simulated cooled water solutions by potentiodynamic polarization (DC) and electrochemical impedance spectroscopy.

Findings

The results indicated that PASP and Na2WO4 both had an inhibition effect. A desirable inhibition effect was shown for brass and B30 corrosion at a PASP concentration of 15 mg/L. The best inhibition effects for Na2WO4 appeared at 10 mg/L for B30 corrosion and at 20 mg/L for brass, respectively. The combination of PASP and Na2WO4 showed a synergistic effect. The optimum ratio of PASP to Na2WO4 was 6:1 at the total inhibitor concentration of 20 mg/L.

Originality/value

This paper has for the first time showed that the two environmentally friendly inhibitors PASP and Na2WO4 had an inhibition effect for brass and B30 corrosion and the complex of PASP and Na2WO4 had good synergistic effect for brass and B30 corrosion in simulated cooled water solutions.

Details

Anti-Corrosion Methods and Materials, vol. 53 no. 4
Type: Research Article
ISSN: 0003-5599

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Article
Publication date: 7 September 2015

Sheng Zhang, Bin Cai and Bo Xu

– The purpose of this paper is to analytically solve the (2+1)-dimensional nonlinear time fractional biological population model in the Caputo sense.

213

Abstract

Purpose

The purpose of this paper is to analytically solve the (2+1)-dimensional nonlinear time fractional biological population model in the Caputo sense.

Design/methodology/approach

The paper uses the variable separation method and the properties of Gamma function to construct exact solutions of the time fractional biological population model.

Findings

New variable separation solutions are obtained, from which some known solutions are recovered as special cases.

Originality/value

Solving fractional biological population model by the variable separation method and the properties of Gamma function is original. It is shown that the method presented in this paper can be also used for some other nonlinear fractional partial differential equations arising in sciences and engineering.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 25 no. 7
Type: Research Article
ISSN: 0961-5539

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Article
Publication date: 1 November 2002

Hokey Min, Hyesung Min and Ahmed Emam

To stay competitive, hotels need to develop a viable customer retention strategy. Since a key to the successful development of such a strategy rests with customer relationship…

9281

Abstract

To stay competitive, hotels need to develop a viable customer retention strategy. Since a key to the successful development of such a strategy rests with customer relationship management, hotels should identify the most profitable ways to build and maintain a loyal customer relationship. In an effort to help hotels understand their customers’ preferences and the ways to interact with the customers, we propose data mining techniques. Based on a case study of luxury hotels in South Korea, this paper demonstrates the usefulness and practicality of the proposed data mining techniques.

Details

International Journal of Contemporary Hospitality Management, vol. 14 no. 6
Type: Research Article
ISSN: 0959-6119

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Article
Publication date: 1 July 2002

Hokey Min, Hyesung Min and Kyooyup Chung

Total customer satisfaction is one of the most important strategic weapons of best‐practice hotel organizations. However, hotel organizations cannot achieve total customer…

16200

Abstract

Total customer satisfaction is one of the most important strategic weapons of best‐practice hotel organizations. However, hotel organizations cannot achieve total customer satisfaction without gaining the knowledge of a hotel’s competitive position in the changing marketplace and realizing the opportunity of continuous service improvement. With this in mind, this paper develops a set of service benchmarks that help hotel managers monitor their service delivery process, identify performance gaps, and take corrective action. In particular, we propose dynamic benchmarking based on the analytic hierarchy process (AHP) that goes beyond traditional service performance measures. Based on the longitudinal surveys of customers who have stayed at first‐class hotels in Korea, this paper illustrates the usefulness of dynamic benchmarking for continuous service improvement.

Details

Journal of Services Marketing, vol. 16 no. 4
Type: Research Article
ISSN: 0887-6045

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Article
Publication date: 20 February 2025

Ting Cai, Bin Yang and Jiandu He

On the premise of verifying whether the platformization organization of DEEs is born, this work aims to explore the evolutionary process of the organizational structure of digital…

7

Abstract

Purpose

On the premise of verifying whether the platformization organization of DEEs is born, this work aims to explore the evolutionary process of the organizational structure of digital entrepreneurial enterprises (DEEs) and to further reveal the drivers of organizational structure evolution from the perspective of data resources.

Design/methodology/approach

The authors use a longitudinal two-case approach to analyze rich archival and interview data from two DEEs in China.

Findings

The findings reveal that the organizational structure of DEEs evolves from hierarchy, network and flatlization to platformization, that the drivers of evolution include building data flow channels, removing barriers of data flow and forming data rules. Meanwhile, the coordination devices in this process have gradually evolved from hierarchy to standard operating procedures, shared culture, norms, etc. to achieve a balance between commercial and creative success.

Originality/value

This work develops a framework for the evolution of organizational structure of DEEs from organization design theory lens and provide some management insights into the development of DEEs.

Details

Management Decision, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0025-1747

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Article
Publication date: 22 November 2011

Bailing Zhang

Content‐based image retrieval (CBIR) is an important research area for automatically retrieving images of user interest from a large database. Due to many potential applications…

319

Abstract

Purpose

Content‐based image retrieval (CBIR) is an important research area for automatically retrieving images of user interest from a large database. Due to many potential applications, facial image retrieval has received much attention in recent years. Similar to face recognition, finding appropriate image representation is a vital step for a successful facial image retrieval system. Recently, many efficient image feature descriptors have been proposed and some of them have been applied to face recognition. It is valuable to have comparative studies of different feature descriptors in facial image retrieval. And more importantly, how to fuse multiple features is a significant task which can have a substantial impact on the overall performance of the CBIR system. The purpose of this paper is to propose an efficient face image retrieval strategy.

Design/methodology/approach

In this paper, three different feature description methods have been investigated for facial image retrieval, including local binary pattern, curvelet transform and pyramid histogram of oriented gradient. The problem of large dimensionalities of the extracted features is addressed by employing a manifold learning method called spectral regression. A decision level fusion scheme fuzzy aggregation is applied by combining the distance metrics from the respective dimension reduced feature spaces.

Findings

Empirical evaluations on several face databases illustrate that dimension reduced features are more efficient for facial retrieval and the fuzzy aggregation fusion scheme can offer much enhanced performance. A 98 per cent rank 1 retrieval accuracy was obtained for the AR faces and 91 per cent for the FERET faces, showing that the method is robust against different variations like pose and occlusion.

Originality/value

The proposed method for facial image retrieval has a promising potential of designing a real‐world system for many applications, particularly in forensics and biometrics.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 4 no. 4
Type: Research Article
ISSN: 1756-378X

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Article
Publication date: 23 November 2023

Bin Li, Zhao Qizi, Yasir Shahab, Xun Wu and Collins G. Ntim

This study aims to investigate the impact of the development of high-speed rail (HSR) network on earnings management, especially on the trade-off between the usage of…

246

Abstract

Purpose

This study aims to investigate the impact of the development of high-speed rail (HSR) network on earnings management, especially on the trade-off between the usage of accruals-based earnings management (AM) and real earnings management (RM) techniques, and consequently, examines the extent to which the HSR network–earnings management nexus is moderated by governance and religion factors.

Design/methodology/approach

Using a sample of Chinese A-listed firms over an 11-year period, this study uses regression techniques as the baseline methodology while controlling for industry and year-fixed effects. The authors also use endogeneity tests (including instrumental variable method, Generalized Methods of Moments estimation and difference-in-difference) and different robustness checks.

Findings

The key findings are threefold. First, the HSR network development reduces AM. This suggests that the presence of HSR network is effective in reducing information asymmetry. Second, the use of RM technique increases with the HSR network development. This indicates that managers do not seem to engage in less earnings management with the HSR network development but instead appear to switch from the easy-to-detect AM to the more costly RM approach. Finally, the HSR network and earnings management nexus is moderated by governance and religion factors.

Originality/value

This study provides new evidence on the trade-off between AM and RM by managers and pioneers in examining the impacts of governance and religion factors on the relationship between the HSR network and the trade-off of earnings management techniques.

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Article
Publication date: 1 October 2024

Martini Dwi Pusparini, Dahlia Bonang, Rheyza Virgiawan, Raditya Sukmana, Setiawan bin Lahuri and Alfarid Fedro

This study aims to examine various factors influencing the inclination of students toward Green Entrepreneurial Intention (GEI), including University Support (USP), Family Support…

190

Abstract

Purpose

This study aims to examine various factors influencing the inclination of students toward Green Entrepreneurial Intention (GEI), including University Support (USP), Family Support (FSP), Religiosity (REL), Commitment to Environment (CEN) and Green Entrepreneurial Motivation (GEM), as well as Attitude towards Green Entrepreneurship (AGM).

Design/methodology/approach

Data were collected through an online survey of Muslim students at Indonesian Islamic universities. A five-point Likert scale was used in the online questionnaire, with 419 processed data. Partial least squares structural equation modeling was used to analyze the data and test the relationship between the variables.

Findings

The results showed that AGM, CEN and REL impacted GEM. AGM was influenced by FSP but not by USP while GEI was significantly influenced by AGM, FSP and USP.

Research limitations/implications

The limitation of the study is the composition of the sample, consisting solely of Islamic university students. Another limitation is the variables used. Future studies should analyze other factors, such as role models, green knowledge or family background.

Practical implications

This study provided fresh perspectives by empirically establishing a framework for assessing GEI, considering REL variables, an unexplored area conceptually. Practically, it helped to advance sustainable entrepreneurship education, particularly in Islamic universities. Accordingly, it provided several practical contributions for universities to develop curricula that better support green entrepreneurship among students.

Originality/value

This study represented the first investigation into the influence of REL on GEI, specifically among university students. Furthermore, Stimuli, Organism and Response theory was used as a foundation for the development of the diverse variables under investigation.

Details

Journal of Islamic Marketing, vol. 16 no. 2
Type: Research Article
ISSN: 1759-0833

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Article
Publication date: 27 August 2019

Min Hao, Guangyuan Liu, Desheng Xie, Ming Ye and Jing Cai

Happiness is an important mental emotion and yet becoming a major health concern nowadays. For this reason, better recognizing the objective understanding of how humans respond to…

147

Abstract

Purpose

Happiness is an important mental emotion and yet becoming a major health concern nowadays. For this reason, better recognizing the objective understanding of how humans respond to event-related observations in their daily lives is especially important.

Design/methodology/approach

This paper uses non-intrusive technology (hyperspectral imaging [HSI]) for happiness recognition. Experimental setup is conducted for data collection in real-life environments where observers are showing spontaneous expressions of emotions (calm, happy, unhappy: angry) during the experimental process. Based on facial imaging captured from HSI, this work collects our emotional database defined as SWU Happiness DB and studies whether the physiological signal (i.e. tissue oxygen saturation [StO2], obtained by an optical absorption model) can be used to recognize observer happiness automatically. It proposes a novel method to capture local dynamic patterns (LDP) in facial regions, introducing local variations in facial StO2 to fully use physiological characteristics with regard to hyperspectral patterns. Further, it applies a linear discriminant analysis-based support vector machine to recognize happiness patterns.

Findings

The results show that the best classification accuracy is 97.89 per cent, objectively demonstrating a feasible application of LDP features on happiness recognition.

Originality/value

This paper proposes a novel feature (i.e. LDP) to represent the local variations in facial StO2 for modeling the active happiness. It provides a possible extension to the promising practical application.

Details

Engineering Computations, vol. 37 no. 1
Type: Research Article
ISSN: 0264-4401

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