Yu Luo, Xiangdong Jiao, Zewei Fang, Shuxin Zhang, Xuan Wu, Dongyao Wang and Qin Chu
This paper aims to propose a diverless weld bead maintenance welding technology to prevent the leakage of subsea oil and gas pipeline and solve the key problems in the maintenance…
Abstract
Purpose
This paper aims to propose a diverless weld bead maintenance welding technology to prevent the leakage of subsea oil and gas pipeline and solve the key problems in the maintenance of subsea pipeline.
Design/methodology/approach
Based on the analysis of the cross-section of the fillet weld, the multi-layer and multi-pass welding path planning of the submarine pipeline sleeve fillet weld is studied, and thus a multi-layer and multi-pass welding path planning strategy is proposed. A welding seam filling method is designed, and the end position of the welding gun is planned, which provides a theoretical basis for the motion control of the maintenance system.
Findings
The trajectory planning and adjustment of multi-layer and multi-pass fillet welding and the motion stability control of the rotating mechanism are realized.
Research limitations/implications
It provides the basis for the prototype design of the submarine pipeline maintenance and welding robot system, and also lays the foundation for the in-depth research on the intelligent maintenance system of submarine pipeline.
Originality/value
The maintenance of diverless subsea pipeline is a new type of maintenance method, which can solve the problem of large amount of subsea maintenance work with high efficiency.
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This chapter critically examines the impact of Web3 technologies on financial, digital, and future-focused inclusion through three case studies: El Salvador’s adoption of Bitcoin…
Abstract
This chapter critically examines the impact of Web3 technologies on financial, digital, and future-focused inclusion through three case studies: El Salvador’s adoption of Bitcoin, Soulbound tokens for digital identity, and the Helium network for decentralised wireless infrastructure and environmental monitoring. By applying an insider–outsider lens, the chapter reveals the complex dynamics of inclusion and exclusion in Web3 initiatives, highlighting the gap between decentralisation promises and real-world implementation. The analysis demonstrates how top-down technological solutions can create new forms of exclusion, particularly when they fail to consider local needs and practices. The chapter also explores the potential of Web3 to transcend human-centric paradigms and include non-human actors in digital ecosystems. Policy recommendations provided address the identified challenges, emphasising the need for context-sensitive implementation and careful regulation. The chapter concludes by advocating for a nuanced understanding of Web3 technologies that recognises both their transformative potential and limitations. It sets the stage for discussing the future of Web3 in creating a more inclusive digital landscape that not only expands human access but also fosters sustainable coexistence with our planet’s ecosystems, challenging us to reimagine digital infrastructure beyond purely human interests.
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This study traces the growth of Dragon Boat racing from humble beginnings in 1976 as part of a local tourism strategy by the Hong Kong Tourist Association (HKTA) to position Hong…
Abstract
Purpose
This study traces the growth of Dragon Boat racing from humble beginnings in 1976 as part of a local tourism strategy by the Hong Kong Tourist Association (HKTA) to position Hong Kong as more distinctive than a destination for shopping or with British colonial history appeal. Dragon Boat racing is now a recognized world sport requiring a global strategy of co-operative alliances and is close to becoming an official sport in the Olympic Games. Emergent strategy and symbolic authenticity of intangible cultural heritage are key concerns for integrating special events as a central tourism experience.
Methodology/approach
This chapter presents three trends emerging from a review of the literature: concern with balancing authenticity and profit-chasing; the phenomenal fast growth of the sport and the challenge to develop and maintain international control and governance; and seeking evidence of health and well-being benefits of Dragon Boat racing for breast cancer survivors.
Findings
Survivors and élite athletes represent a symbolic authenticity connected to ancient Chinese intangible cultural heritage. Chasing profits by including cultural heritage as part of a particular tourism strategy has strengthened and protected the legacy of that heritage in unexpected ways. There are lessons for those charged with designing quality events and tourism experiences linked with intangible culture.
Research limitations/implications
Based on literature review only, but sets a framework for research in several directions.
Originality/value
Demonstrates the blurring of boundaries between tourism, events and sports, and how managers must be adept to shift strategy according to changing unexpected dynamics of threats and opportunities, yet still can adhere to symbolic authenticity to maintain integrity of intangible cultural heritage as a tourism experience.
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Hasan Callioglu, Said Muftu and Candaş Nuri Koplay
Rotating functionally graded (FG) disks of variable thickness generates vibration. This study aims to analyze the vibration generated by the rotating disks using a finite element…
Abstract
Purpose
Rotating functionally graded (FG) disks of variable thickness generates vibration. This study aims to analyze the vibration generated by the rotating disks using a finite element program and compare the results obtained with the regression methods.
Design/methodology/approach
Transverse vibration values of rotating FG disks with variable thickness were modeled using different regression methods. The accuracies of the obtained models are compared. In the context of comparing regression methods, multiple linear regression (MLR), extreme learning machine (ELM), artificial neural networks (ANNs) and radial basis function (RBF) were used in this study. The error graph between the observed value and the predicted value of each regression method was obtained. The error values of the regression methods used with scientific error measures were calculated.
Findings
The analysis of the transverse vibration of rotating FG disks with the finite element program is consistent with the studies in the literature. When the variables and vibration value determined on the disk are modeled with ELM, MLR, ANN and RBF regression methods, it is concluded that the most accurate model order is RBF, ANN, MLR and ELM.
Originality/value
There are studies on the vibration value of rotating discs in the literature, but there are very few studies on modeling. This study shows that ELM, MLR, ANN and RBF, which are machine learning methods, can be used in modeling the vibration value of rotating discs.
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This study aims to explore the relationships between career competencies and job search self-efficacy via the serial multiple mediation effect of career adaptability and…
Abstract
Purpose
This study aims to explore the relationships between career competencies and job search self-efficacy via the serial multiple mediation effect of career adaptability and self-perceived employability within multiple theoretical frameworks.
Design/methodology/approach
This study adopts a cross-sectional design to collect data at a specific point in time and employs self-report questionnaires to collect data from participants. In total, 302 students from the “management and organization department” in a vocational school of a public university completed the survey forms. To test the hypothesized model, a serial multiple mediation analysis was performed using structural equation modeling (SEM) via SPSS (Statistical Package for Social Sciences) AMOS (Analysis of Moment Structures).
Findings
The results indicated that career competencies, career adaptability, job search self-efficacy and self-perceived employability all had significant and positive relationships. Additionally, the relationship between career competencies and job search self-efficacy was serially mediated by career adaptability and self-perceived employability as anticipated.
Practical implications
Considering the growing importance of the subject of how universities might better prepare their graduates for the job market, the study's findings have important policy implications. University students should also be provided with career management resources, specifically adaptation resources, to help them navigate their individual characteristics and transfer more successfully into the existing job market. This is the cause of the need for constant planning, adaptation, assessment and evaluation of career competencies in current labor markets.
Originality/value
The study contributes to international career development and vocational education research by filling a gap in the literature by demonstrating that job search self-efficacy, which is a predictor of job search behavior, can be promoted by career competencies, career adaptability and self-perceived employability. These findings are particularly significant because they highlight the importance of career-related knowledge, skills and abilities in engaging university students seeking employment in a developing country with a highly competitive labor market.
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Wujiu Pan, Heng Ma, Jian Li, Qilong Wu, Junyi Wang, Jianwen Bao, Lele Sun and Peng Gao
Aero-engine casings commonly use composite cylindrical shell structures with excellent properties such as corrosion resistance and fatigue resistance. Still, their vibration…
Abstract
Purpose
Aero-engine casings commonly use composite cylindrical shell structures with excellent properties such as corrosion resistance and fatigue resistance. Still, their vibration behavior is relatively complex and may cause fatigue vibration damage, so it is essential to analyze the vibration characteristics of composite cylindrical shells. The purpose of this paper is to analyze the vibration characteristics of multilayer composite cylindrical shells subjected to external pressures and having different interlayer thickness ratios and provide some theoretical basis for the fatigue damage prediction of cylindrical shell casing to ensure the safety and stability of the engine during flight.
Design/methodology/approach
Firstly, the vibration differential equation with external pressure is established based on Soedel theory considering nonlinear effects, while four symmetric boundary conditions are chosen to constrain the cylindrical shell. Then the Rayleigh–Ritz method, which is more efficient and accurate in calculating large structural systems, is applied to solve the problem, and the theoretical model of three-layer cylindrical shell under external pressure is established. The accuracy of the model is verified by comparing the data with the specialized literature. Subsequently, the effects of different external pressures and different thickness-to-diameter ratios, different length-to-diameter ratios and different interlayer thickness percentages on the natural frequency of multilayer composite cylindrical shells were investigated by control variable analysis.
Findings
The conclusions obtained show that the external pressure increases the natural frequency of the cylindrical shell and that the frequency characteristics of the cylindrical shell vary for different boundary conditions. The effect of length-to-diameter ratio, thickness-to-diameter ratio and the percentage of the thickness of the intermediate layer on the natural frequency of the cylindrical shell are significantly increased under external pressure. Because the presence of external pressure increases the frequency of the cylindrical shell by about 70%, it has almost no effect on the frequency at the minimum number of circumferential waves, and the effect on the frequency at the maximum number of circumferential waves is reduced to about 50%. The frequencies in the SL-SL boundary condition are all in perfect agreement with the S-S boundary condition under the influence of different influencing factors.
Originality/value
In this paper, the effect of external pressure and the natural properties of the cylindrical shell under external pressure on the cylindrical shell’s frequency is considered, emphasizing the effect of different layer thickness ratios on the frequency. This paper aims to summarize the changing law between the natural frequency of the cylindrical shell itself and different design parameters during the flight pressure process. Reliable theoretical predictions are provided for analyzing the vibrational behavior of shells subjected to external pressures in aerospace, as well as a database for the practical production of cylindrical shells.
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Fangmin Cheng, Chen Chen, Yuhong Zhang and Suihuai Yu
Cloud manufacturing platform has a high degree of openness, with a large variety of users having different needs. Designers on such platforms exhibit great differences in their…
Abstract
Purpose
Cloud manufacturing platform has a high degree of openness, with a large variety of users having different needs. Designers on such platforms exhibit great differences in their knowledge abilities and knowledge needs, necessitating the cloud platform to provide personalized knowledge recommendation. To satisfy the personalized knowledge needs of the designers in product design tasks and other manufacturing tasks on a cloud manufacturing platform and provide them with high-quality knowledge resources, a knowledge recommendation method based on designers’ knowledge ability is proposed. The proposed method, with appropriate adjustments, can also be used for personalized knowledge recommendation to other personnel or institutions in cloud manufacturing platforms.
Design/methodology/approach
A knowledge recommendation method model is developed. The method consists of three stages. First, a designer knowledge system is constructed based on customer reviews in historical tasks, and designer knowledge ability and knowledge demand degree are quantitatively evaluated by synthesizing customer reviews and expert evaluations. Subsequently, the design knowledge domain ontology is constructed, and knowledge resources and tasks are modeled based on the ontology. Finally, the semantic similarity between tasks and knowledge resources and the knowledge demand degree of designers are integrated to calculate the knowledge recommendation coefficient, which realizes the personalized knowledge recommendation of designers.
Findings
Two design tasks of a 3D printing cloud platform are taken as examples to verify the feasibility and effectiveness of the proposed method. Compared with other methods, it is proved that the method proposed in this paper can obtain more knowledge resources that meet the needs of designers and tasks.
Originality/value
The method proposed in this paper is important for the expansion of data applications of the cloud manufacturing platform and for enriching the knowledge recommendation method. The proposed method has two innovations. First, both designer needs and task needs are considered in knowledge recommendation. Compared with most of the existing methods, which only consider one factor, this method is more comprehensive. Second, the designer’s knowledge ability model is constructed by using customer reviews on the cloud manufacturing platform. This overcomes the defect of low accuracy of the interest model in existing methods and makes full use of the big data of the cloud manufacturing platform.
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Zulkaif Ahmed Saqib, Muhammad Ikram and Luo Qin
This research aims to explore how policymakers manage the information and communication of green behavior on social platforms to support their growth in corporate social…
Abstract
Purpose
This research aims to explore how policymakers manage the information and communication of green behavior on social platforms to support their growth in corporate social responsibility (CSR). Social platforms play a strategic and interactive role through electronic word-of-mouth (eWOM), which brings unprecedented green purchase opportunities.
Design/methodology/approach
Based on stakeholder theory, a conceptual framework is designed to investigate the influence of green behavior interactions (GBIs) on CSR under the mediating effects of eWOM subfactors (eWC = eWOM communication, eWIA = eWOM information adoption and eWSC = eWOM source credibility). Data from 414 regular stakeholders of logistics firms were analyzed via structural equation modeling.
Findings
The results reveal positive influences of the GBI on eWC, eWIA, eWSC and CSR, with path coefficients of 0.329, 0.713, 0.809 and 0.316, respectively. The mediating effects of eWC and eWSC from the GBI to CSR were discovered with path coefficients of 0.105 and 0.226, respectively. Coincidentally, the mediating role of eWIA was positive but not supported. The outcomes of this study indicate that the administration of GBI and eWOM from a green purchase perspective is essential for a firm. The CSR practices of green logistics firms can be successfully supported by the administration of the GBI and eWOM indicators.
Originality/value
This study develops a novel multidimensional framework that illustrates the impact of eWOM on reducing information asymmetry, enhancing credibility, supporting informed decision-making and improving green consumer behavior. By amplifying positive reviews, increasing engagement and establishing a feedback loop, this framework aims to provide comprehensive insights into the efficacy of eWOM for firms’ products and services.
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Chao Wang, Xiaoyan Jiang, Qing Li, Zijuan Hu and Jie Lin
Market evaluation of products is the basis for product innovation, yet traditional expert-based evaluation methods are highly dependent on the specialization of experts. There…
Abstract
Purpose
Market evaluation of products is the basis for product innovation, yet traditional expert-based evaluation methods are highly dependent on the specialization of experts. There exist a lot of weak expert-generated texts on the Internet of their own subjective evaluations of products. Analyzing these texts can indirectly extract the opinions of weak experts and transform them into decision-support information that assists product designers in understanding the market.
Design/methodology/approach
In social networks, a subset of users, termed “weak experts”, possess specialized knowledge and frequently share their product experiences online. This study introduces a comparative opinion mining framework that leverages the insights of “weak experts” to analyze user opinions.
Findings
An automotive product case study demonstrates that evaluations based on weak expert insights offer managerial insights with a 99.4% improvement in timeliness over traditional expert analyses. Furthermore, in the few-shot sentiment analysis module, with only 10% of the sample, the precision loss is just 1.59%. In addition, the quantitative module of specialization weighting balances low-specialization expert opinions and boosts the weight of high-specialization weak expert views. This new framework offers a valuable tool for companies in product innovation and market strategy development.
Originality/value
This study introduces a novel approach to opinion mining by focusing on the underutilized insights of weak experts. It combines few-shot sentiment analysis with specialization weighting and AHP, offering a comprehensive and efficient tool for product evaluation and market analysis.
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Subhashree Choudhury and Taraprasanna Dash
Static VAR compensators (SVC) have been recognized to be one of the most important flexible AC transmission systems devices used for mitigating the low-frequency electrochemical…
Abstract
Purpose
Static VAR compensators (SVC) have been recognized to be one of the most important flexible AC transmission systems devices used for mitigating the low-frequency electrochemical oscillations occurring in the system and for reactive power compensation, thereby improving the overall dynamic stability and efficiency of the system. The purpose of this paper is to optimize and dynamically tune the control parameters of the classical proportional integral and derivative (PID) controller of the SVC for a two-machine system by designing a new robust optimization technique.
Design/methodology/approach
The angular speed deviation between the two machines is used as an auxiliary signal to SVC for generation of the required damping output. To justify the efficacy of the system undertaken, a light load fault at time t =1 s is projected to the system. The simulation is carried out in MATLAB/Simulink architecture.
Findings
The proposed technique helps in the enhancement of system efficiency, reliability and controllability and by effectively responding to the non-linearities taking place in a power grid network. The results obtained are indicative of the fact that the proposed modified brain storming optimization (MBSO) technique reduces system disturbances very quickly, increases the system response in terms of better rise time, settling time and peak overshoot and improves the efficiency of the system.
Originality/value
A detailed comparison of the MBSO technique is compared with the conventional brain storming optimization (BSO) and PID technique. Total harmonic distortion through fast Fourier transform is also compiled to prove that the values of the proposed MBSO method found out to be confined well within the prescribed IEEE-514 boundaries.