Jens Eklinder-Frick, Andrea Perna and Vincent Hocine Jean Fremont
Effective rail surface defects detection method is the basic guarantee to manufacture high-quality rail. However, the existed visual inspection methods have disadvantages such as…
Abstract
Purpose
Effective rail surface defects detection method is the basic guarantee to manufacture high-quality rail. However, the existed visual inspection methods have disadvantages such as poor ability to locate the rail surface region and high sensitivity to uneven reflection. This study aims to propose a bionic rail surface defect detection method to obtain the high detection accuracy of rail surface defects under uneven reflection environments.
Design/methodology/approach
Through this bionic rail surface defect detection algorithm, the positioning and correction of the rail surface region can be computed from maximum run-length smearing (MRLS) and background difference. A saliency image can be generated to simulate the human visual system through some features including local grayscale, local contrast and edge corner effect. Finally, the meanshift algorithm and adaptive threshold are developed to cluster and segment the saliency image.
Findings
On the constructed rail defect data set, the bionic rail surface defect detection algorithm shows good recognition ability on the surface defects of the rail. Pixel- and defect-level index in the experimental results demonstrate that the detection algorithm is better than three advanced rail defect detection algorithms and five saliency models.
Originality/value
The bionic rail surface defect detection algorithm in the production process is proposed. Particularly, a method based on MRLS is introduced to extract the rail surface region and a multifeature saliency fusion model is presented to identify rail surface defects.
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Dharen Kumar Pandey, Vineeta Kumari and Brajesh Kumar Tiwari
The authors examine the impacts of corporate announcements on stock returns during the pandemic stress.
Abstract
Purpose
The authors examine the impacts of corporate announcements on stock returns during the pandemic stress.
Design/methodology/approach
The authors employ the event study methodology with the market model on a sample of 90 events (announcement and ex-date).
Findings
The authors find that all the corporate announcements do not impact the stock returns in a similar pattern. While the bonus announcement, ex-bonus and ex-split events led to positive significant abnormal returns on the event date, the rights issue and stock-split announcements failed to influence the stock returns. The findings suggest that before making such announcements, the corporates should wait until the market recovers because even the positively impacting events result in negative market responses during pandemic stress.
Practical implications
This study will guide the policymakers to stimulate share prices during such pandemics with the help of various corporate announcements. The investors will be assisted in understanding the stock market mechanism and making wise decisions before reacting to corporate actions during a pandemic or emergency period. While the policymakers are concerned with influencing the share prices, the investors are concerned with the composition of the risk-return parameters in their portfolio. This study will act as an essential investment tool for both.
Originality/value
To the best of the authors’ knowledge, the authors conduct the first-ever study to examine the impacts of corporate announcements during a pandemic stress period that significantly contributes to the literature. The authors examine the announcement effects in India and accurately anticipate that this study will be a pioneer in this field. This study also paves the way for future researches in this area.
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Sang-Seok Moon and Miriam Sang-Ah Park
Higher education institutions must keep up to date with the changing needs and situations of students, addressing societal issues affecting young people’s lives and learning…
Abstract
Higher education institutions must keep up to date with the changing needs and situations of students, addressing societal issues affecting young people’s lives and learning. Among the crises that higher education institutions in South Korea are facing, population decline and a lack of sustainable development present a significant threat to these institutions’ existence as well as student satisfaction and learning experience. By relying on a review of relevant literature, this chapter will discuss each of these challenges and potential solutions. We hope that our discussion of the challenges in South Korea will also highlight that many of the ‘crises’ for higher education and ways to tackle them can be both localised and globally applicable. What is significant here is that higher education has a key role to play in preparing the young generation of Koreans to embrace sustainability and to foster resilience in them – for preparedness for future crises. We propose that a focus on community identity strength and education for sustainable development (ESD) can work as a solution for improving students’ learning and global citizenship in these areas. Furthermore, we argue that this is especially important for preserving local and regional strengths and, ultimately, mutual development between the region and universities. Sustainable development depends on building a stronger and positive personal and collective identity, and students’ active participation in sustainable development transcends the localised challenges. Such outcomes are also important for the sustainable future of higher education in South Korea and continuous development in the higher education scholarship.
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Liyao Song, Bai Chen, Bo Li, Rupeng Zhu and Dan Wang
The supercritical design of tail rotor drive shaft has attracted more attention in helicopter design due to its high power–weight ratio and low maintenance cost. However, there…
Abstract
Purpose
The supercritical design of tail rotor drive shaft has attracted more attention in helicopter design due to its high power–weight ratio and low maintenance cost. However, there exists excessive vibration when the shaft passes through the critical frequency. Dry friction damper is the equipment applied to the drive shaft to suppress the excessive vibration. In order to figure out the damping mechanism of the dry friction damper and improve the damping efficiency, the dynamic model of the shaft/damper system is established based on the Jeffcott rotor model.
Design/methodology/approach
The typical frequency response of the system is studied through bifurcation diagrams, amplitude-frequency characteristic curves and waterfall frequency response spectrum. The typical transient responses under frequency sweeps are also obtained.
Findings
The results show that the response of the system changes from periodic no-rub motion to quasi-periodic rub-impact motion, and then to synchronous full annular rub-impact, and finally, back to periodic no-rub motion. The slip of the rub-impact ring improves the stability of the system. Besides, the effects of the system parameters including critical dry friction force, rub-impact friction coefficient, initial clearance on the stability and the vibration damping capacity are studied. It is observed that the stability changes significantly varying the three parameters respectively. The vibration damping capacity is mainly affected by the critical dry friction force and the initial clearance.
Originality/value
Presented results provide guidance for the design of the dry friction damper.
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Yui-yip Lau, Zhang Jiamian, K. Y. Ng Adolf and Roozbeh Panahi
Emergency logistics is an important means to deal with disasters and public crises. Since the outbreak of the severe acute respiratory syndrome (SARS) virus in 2003, China has…
Abstract
Emergency logistics is an important means to deal with disasters and public crises. Since the outbreak of the severe acute respiratory syndrome (SARS) virus in 2003, China has established and developed an emergency logistics management system. With the outbreak of coronavirus disease (COVID-19) in China, its emergency logistics system is facing unfolded challenges. The main purposes of this study are to explore the development of China’s emergency logistics system in this context and identify the critical success factors for such systems. A series of focus groups are organized to collect the opinions of 24 interviewees from three Chinese cities, namely Wuhan, Shanghai, and Xi’an. Through the analysis, a framework of the critical success factors for emergency logistics in China is recreated. The key elements are demand forecasting and planning, inventory management, distribution network, and systematic information management. Findings suggest critical points on the design and imple-mentation of the emergency logistics operations during a chaotic period.