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1 – 10 of 414Xue-Qin Li, Lu-Kai Song and Guang-Chen Bai
To provide valuable information for scholars to grasp the current situations, hotspots and future development trends of reliability analysis area.
Abstract
Purpose
To provide valuable information for scholars to grasp the current situations, hotspots and future development trends of reliability analysis area.
Design/methodology/approach
In this paper, recent researches on efficient reliability analysis and applications in complex engineering structures like aeroengine rotor systems are reviewd.
Findings
The recent reliability analysis advances of engineering application in aeroengine rotor system are highlighted, it is worth pointing out that the surrogate model methods hold great efficiency and accuracy advantages in the complex reliability analysis of aeroengine rotor system, since its strong computing power can effectively reduce the analysis time consumption and accelerate the development procedures of aeroengine. Moreover, considering the multi-objective, multi-disciplinary, high-dimensionality and time-varying problems are the common problems in various complex engineering fields, the surrogate model methods and its developed methods also have broad application prospects in the future.
Originality/value
For the strong demand for efficient reliability design technique, this review paper may help to highlights the benefits of reliability analysis methods not only in academia but also in practical engineering application like aeroengine rotor system.
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Congjing Ran, Kai Song and Le Yang
There is no proposed solution to address the unresolved issues of constructing the Chinese university intellectual property information service system (IPISS) to promote the whole…
Abstract
Purpose
There is no proposed solution to address the unresolved issues of constructing the Chinese university intellectual property information service system (IPISS) to promote the whole process service efficiency of IP creation, utilization, protection and management. The purpose of this paper is to propose a complete system, including theoretical framework and system development which addresses the existing difficulties to IP create, protect and transfer for researchers in universities. The paper shares the practice of utilizing the system developed by Wuhan University IP research team known as Wuhan University Intellectual Property Information Service System (WHU-IPISS).
Design/methodology/approach
First, the IPISS of 23 universities in China was investigated on the internet. Aiming at the deficiencies of the system, such as single service type, lack of patent display window, low management efficiency. This paper constructs the theoretical framework, proposes the IP ecological chain model, divides it into four sub-chains and carries on the functional design. Further, under the theoretical framework, the IPISS was developed, including the resource supply management system, user demand matching system, resource assessment system and expert support system. Finally, the system was applied to Wuhan University to provide IP services in the whole process for university researchers.
Findings
WHU-IPISS realizes the functions of IP resource supply, demand matching, value evaluation and expert support. It solves the IP needs of university researchers and provides a guarantee for their technology research, patent portfolio, patent transfer and patent rights protection. It also improves the efficiency of IP service and can construct the IP ecosphere in universities.
Originality/value
The WHU-IPISS solution resolves issues of “How to develop the university IP whole process service model, fulfilling the IP service needs for universities' researchers”. The software will be released as open-source for other universities' use. The publishing model is also useful for those universities that intend to implement the IPISS.
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Hong Zhang, Lu-Kai Song, Guang-Chen Bai and Xue-Qin Li
The purpose of this study is to improve the computational efficiency and accuracy of fatigue reliability analysis.
Abstract
Purpose
The purpose of this study is to improve the computational efficiency and accuracy of fatigue reliability analysis.
Design/methodology/approach
By absorbing the advantages of Markov chain and active Kriging model into the hierarchical collaborative strategy, an enhanced active Kriging-based hierarchical collaborative model (DCEAK) is proposed.
Findings
The analysis results show that the proposed DCEAK method holds high accuracy and efficiency in dealing with fatigue reliability analysis with high nonlinearity and small failure probability.
Research limitations/implications
The effectiveness of the presented method in more complex reliability analysis problems (i.e. noisy problems, high-dimensional issues etc.) should be further validated.
Practical implications
The current efforts can provide a feasible way to analyze the reliability performance and identify the sensitive variables in aeroengine mechanisms.
Originality/value
To improve the computational efficiency and accuracy of fatigue reliability analysis, an enhanced active DCEAK is proposed and the corresponding fatigue reliability framework is established for the first time.
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Shichao Jiang, Xinliang Lu, Hongliang Wang, Kai Song and Yuanyuan Jiang
Detection of hidden defects of aluminum alloy plate with damping coating is a challenging problem. At present, only a few non-destructive testing methods exist to address this…
Abstract
Purpose
Detection of hidden defects of aluminum alloy plate with damping coating is a challenging problem. At present, only a few non-destructive testing methods exist to address this engineering problem. Without the restriction of skin effect, remote field eddy current (RFEC) overcomes the interference caused by the damping coating. The RFEC, which has potential advantages for detecting the hidden defects of aluminum plate with damping coating, can penetrate the metal plate to detect buried depth defects. This study aims to test how thick the RFEC sensor can penetrate the metal plate to detect the buried defects.
Design/methodology/approach
The magnetic field distribution characteristics are analyzed, the magnetic field intensity distribution is calculated, and the structure and parameters of the coil, magnetic circuit and shielding damping are determined through the two- and three-dimensional finite element simulation methods. Optimal excitation frequency is obtained, and the distance between the excitation coil and detection coil is determined by analyzing the relationship between excitation frequency and remote field points.
Findings
Simulation and experimental results verify the feasibility of applying the RFEC detection technology in detecting the hidden defects of aluminum alloy plate with damping coating.
Originality/value
In this paper, the RFEC testing model of hidden defects in aluminum plate sample with damping coating is established by using the finite element method.
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Chen-Yu Lin, Yun-Siou Chen and Yan-Shouh Chen
The purpose of this paper is to explore censorship on popular music in Taiwan and how the practices have influenced the consumption and production of music in the post-martial law…
Abstract
Purpose
The purpose of this paper is to explore censorship on popular music in Taiwan and how the practices have influenced the consumption and production of music in the post-martial law period.
Design/methodology/approach
Through adopting grounded theory with snowball sampling and ethnographic methods, this paper will interview music audiences and musicians as well as analyze recent censorship cases to develop a more comprehensive understanding of the topic.
Findings
Institutional and corporate self-censorship has a noteworthy influence on popular music in post-marital law Taiwan. Cross-strait relations still are a key tension that triggers censorship but the form has been shifting.
Originality/value
This study draws on both the complexity of censorship by case studies and the audience's perception of music in everyday life.
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Guotai Chi and Bin Meng
The purpose of this paper is to propose a debt rating index system for small industrial enterprises that significantly distinguishes the default state. This debt rating system is…
Abstract
Purpose
The purpose of this paper is to propose a debt rating index system for small industrial enterprises that significantly distinguishes the default state. This debt rating system is constructed using the F-test and correlation analysis method, with the small industrial enterprise loans of a Chinese commercial bank as the data sample. This study establishes the weighting principle for the debt scoring model: “the more significant the default state, the larger is the weight.” The debt rating system for small industrial enterprises is constructed based on the standard “the higher the debt rating, the lower is the loss given default.”
Design/methodology/approach
In this study, the authors selected indexes that pass the homogeneity of variance test based on the principle that a greater deviation of the default sample’s mean from the whole sample’s mean leads to greater significance in distinguishing the default samples from the non-default samples. The authors removed correlated indexes based on the results of the correlation analysis and constructed a debt rating index system for small industrial enterprises that included 23 indexes.
Findings
Among the 23 indexes, the weights of 12 quantitative indexes add up to 0.547, while the weights of the remaining 11 qualitative indexes add up to 0.453. That is, in the debt rating of the small industry enterprises, the financial indexes are not capable of reflecting all the debt situations, and the qualitative indexes play a more important role in debt rating. The weights of indexes “X17 Outstanding loans to all assets ratio” and “X59 Date of the enterprise establishment” are 0.146 and 0.133, respectively; both these are greater than 0.1, and the indexes are ranked first and second, respectively. The weights of indexes “X6 EBIT-to- current liabilities ratio,” “X13 Ratio of capital to fixed” and “X78 Legal dispute number” are between 0.07 and 0.09, these indexes are ranked third to fifth. The weights of indexes “X3 Quick ratio” and “X50 Per capital year-end savings balance of Urban and rural residents” are both 0.013, and these are the lowest ranked indexes.
Originality/value
The data of index i are divided into two categories: default and non-default. A greater deviation in the mean of the default sample from that of the whole sample leads to greater deviation from the non-default sample’s mean as well; thus, the index can easily distinguish the default and the non-default samples. Following this line of thought, the authors select indexes that pass the F-test for the debt rating system that identifies whether or not the sample is default. This avoids the disadvantages of the existing research in which the standard for selecting the index has nothing to do with the default state; further, this presents a new way of debt rating. When the correlation coefficient of two indexes is greater than 0.8, the index with the smaller F-value is removed because of its weaker prediction capacity. This avoids the mistake of eliminating an index that has strong ability to distinguish default and non-default samples. The greater the deviation of the default sample’s mean from the whole sample’s mean, the greater is the capability of the index to distinguish the default state. According to this rule, the authors assign a larger weight to the index that exhibits the ability to identify the default state. This is different from the existing index system, which does not take into account the ability to identify the default state.
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Some fairy tale characters have transcended their original fairy tale genre and their influence can be perceived in other fictional genres. One illustration of this is the…
Abstract
Some fairy tale characters have transcended their original fairy tale genre and their influence can be perceived in other fictional genres. One illustration of this is the character of Blue Beard. This story, written by Charles Perrault, was first published in 1697 (Hermansson, 2010, p. 2). It moved through several themes or topics from anxiety to money to the right of the husband and wives (Warner, 2014, p. 82). In Perrault's story, Blue Beard is conceived as a serial killer and a jealous husband. ‘Whatever the medium, whatever the date: in opera, cartoon, X-rated film or graphic novel, he is an archetypal serial murderer, terrifying and yet alluring’ (2015, p. 76).
The influence of this character and examples that carry, at the very least, remnants of Blue Beard can be clearly identified in several contemporary narratives. In the BBC television series The Fall (Cubitt, 2013), Jamie Dornan portrays a serial killer named Paul Spector. Alternatively known as the Belfast Strangler, Spector, like Blue Beard, has a wife and children who are unaware of his murderous spree. Another example of the attempted enforcement of extreme patriarchy can be seen in Cult, the seventh season of Ryan Murphy's American Horror Story anthology series. The season is dedicated to the 2016 US election between Donald Trump and Hillary Clinton (Raddish, 2017). In this fictional narrative Kai Anderson (Evan Peters) symbolises toxic masculinity and models patriarchal archetypes to create a cult and become a senator.
Through a contextual post-structuralist analysis of the aforementioned characters, this chapter intends to examine the representation and evolution of male character under the umbrella of the fairy tale ‘man’.
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Antonia D'Amico, Annalisa De Boni, Giovanni Ottomano Palmisano, Enrica Morea, Claudio Acciani and Rocco Roma
The agricultural sector is facing pressure due to concerns about its impact on the environment. Farmers must adapt to ensure high-quality, sustainable production. This requires…
Abstract
Purpose
The agricultural sector is facing pressure due to concerns about its impact on the environment. Farmers must adapt to ensure high-quality, sustainable production. This requires efficient techniques such as soilless farming. The development of agricultural innovations depends on social acceptance; thus, it is crucial to identify the factors that influence consumers' purchasing decisions. The aim of this paper is to analyse consumers' perceptions of hydroponic cultivation techniques and their willingness to pay (WTP) a premium price for hydroponic tomatoes certified as “nickel-free” and “zero-residue”.
Design/methodology/approach
The survey was conducted in Italy using tomatoes as a case study. Data were collected through an online questionnaire from a convenience sample of 292 respondents and were analysed using statistical analysis and a multiple linear regression model.
Findings
The results showed that WTP was influenced by frequency of purchase, familiarity with soilless technology, environmental sustainability, income and education. Consumers place a high value on the sustainability of the hydroponic production process and their perception of increased safety positively influences WTP. It is therefore recommended that marketing strategies focus on the environmental sustainability and safety of hydroponic products. In addition, it may be beneficial to implement a certification system specific to hydroponic cultivation, in addition to the existing “nickel-free” and “zero-residue” certifications.
Originality/value
This study introduces several novel elements: it is the first to assess the Italian consumers’ perceptions and WTP for a hydroponic product. Secondly, it assesses WTP in relation to several aspects of increasing relevance related to health claims, namely “nickel-free” and “zero-residue”.
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Heesup Han, Kai-Sean Lee, HakJun Song, Sanghyeop Lee and Bee-Lia Chua
The purpose of this paper is to investigate the interrelationships among coffeehouse brand experiences, customer satisfaction and perceived value in generating patrons’ repeat…
Abstract
Purpose
The purpose of this paper is to investigate the interrelationships among coffeehouse brand experiences, customer satisfaction and perceived value in generating patrons’ repeat purchase intention.
Design/methodology/approach
The survey sample consisted of 379 coffeehouse patrons who visited an international chain coffeehouse in a metropolitan city of South Korea.
Findings
The results of the structural equation modeling revealed that a coffeehouse brand experience exerted a significant influence on customer satisfaction and perceived value. The repurchase intention was found to be a significant and positive function of customer satisfaction and perceived value. Moreover, the result of the metric invariance test demonstrated a significant moderating impact on the relationships between coffeehouse brand experiences and customer satisfaction, coffeehouse brand experiences and perceived value, and customer satisfaction and repurchase intention.
Research limitations/implications
An examination of the moderating role of switching costs demonstrated that the relationships between coffeehouse brand experiences and customer satisfaction, between coffeehouse brand experiences and perceived value and between customer satisfaction and repurchase intention differed across switching costs groups. More specifically, the relationship strength was greater for the high group of switching costs than for the low group.
Originality/value
The present study provides coffeehouse management with a better understanding of the underlying mechanism of patrons’ repurchase decision generation process.
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