Ke Zhang, Hao Gui, Zhifeng Luo and Danyang Li
Laser navigation without a reflector does not require setup of reflector markers at the scene and thus has the advantages of free path setting and flexible change. This technology…
Abstract
Purpose
Laser navigation without a reflector does not require setup of reflector markers at the scene and thus has the advantages of free path setting and flexible change. This technology has attracted wide attention in recent years and shows great potential in the field of automatic logistics, including map building and locating in real-time according to the environment. This paper aims to focus on the application of feature matching for map building.
Design/methodology/approach
First, an improved linear binary relation algorithm was proposed to calculate the local similarity of the feature line segments, and the matching degree matrix of feature line segments between two adjacent maps was established. Further, rough matching for the two maps was performed, and both the initial rotation matrix and the translation vector for the adjacent map matching were obtained. Then, to improve the rotation matrix, a region search optimization algorithm was proposed, which took the initial rotation matrix as the starting point and searched gradually along a lower error-of-objective function until the error sequence was nonmonotonic. Finally, the random-walk method was proposed to optimize the translation vector by iterating until the error-objective function reached the minimum.
Findings
The experimental results show that the final matching error was controlled within 10 mm after both rotation and translation optimization. Also, the algorithm of map matching and optimization proposed in this paper can realize accurately the feature matching of a laser navigation map and basically meet the real-time navigation and positioning requirements for an automated-guided robot.
Originality/value
A linear binary relation algorithm was proposed, and the local similarity between line segments is calculated on the basis of the binary relation. The hill-climbing region search algorithm and the random-walk algorithm were proposed to optimize the rotation matrix and the translation vector, respectively. This algorithm has been applied to industrial production.
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Wenhuan Ai, Zheng Qing Lei, Li Danyang, Jingming Zeng and Dawei Liu
Highway traffic systems are complex and variable, and studying the bifurcation characteristics of traffic flow systems and designing control schemes for unstable bifurcation…
Abstract
Purpose
Highway traffic systems are complex and variable, and studying the bifurcation characteristics of traffic flow systems and designing control schemes for unstable bifurcation points can alleviate traffic congestion from a new perspective. Bifurcation analysis is used to explain the changes in system stability, identify the unstable bifurcation points of the system, and design feedback controllers to realize the control of the unstable bifurcation points of the traffic system. It helps to control the sudden changes in the stable behavior of the traffic system and helps to alleviate traffic congestion, which is of great practical significance.
Design/methodology/approach
In this paper, we improve the macroscopic traffic flow model by integrating severe weather factors such as rainfall, snowfall, and dust. We use traveling wave transform to convert it into a traffic flow stability model suitable for branching analysis, thus converting the traffic flow problem into a system stability analysis problem. First, this paper derives the existence conditions of the model Hopf bifurcation and saddle-node bifurcation for the improved macroscopic model, and finds the stability mutation point of the system. Secondly, the connection between the stability mutation points and bifurcation points of the traffic system is analyzed. Finally, for the unstable bifurcation point, a nonlinear system feedback controller is designed using Chebyshev polynomial approximation and stochastic feedback control method.
Findings
The Hopf bifurcation is delayed and completely eliminated without changing the equilibrium point of the system, thus controlling the abrupt behavior of the traffic system.
Originality/value
Currently there are fewer studies to explain the changes in the stability of the transportation system through bifurcation analysis, in this paper; we design a feedback controller for the unstable bifurcation point of the system to realize the control of the transportation system. It is a new research method that helps to control the sudden change of the stable behavior of the traffic system and helps to alleviate traffic congestion, which is of great practical significance.
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Chuanzhi Sun, Danyang Chen, Chengtian Li, Yongmeng Liu, Zewei Liu, Ming Hu and Jiubin Tan
This paper aims to provide a precision assembly method to improve the aircraft engine quality of initial unbalance with the purpose of founding the process for mass eccentricity…
Abstract
Purpose
This paper aims to provide a precision assembly method to improve the aircraft engine quality of initial unbalance with the purpose of founding the process for mass eccentricity propagation and demonstration of assembly process. The proposed method can be used for assembly guidance, tolerance allocation and so on, especially for the assembly with a large number of rotors and the assembly requirements of initial unbalance and coaxiality in high precision.
Design/methodology/approach
This paper proposes a constrained optimization-build method to minimize initial unbalance of aircraft engine assembly, which takes amount of unbalance and concentricity of each rotor into account. A constrained nonlinear programming model is extracted by choosing the initial unbalance as the objective function, and choosing the coaxiality and assembly orientations as the nonlinear constraints. The initial unbalance is reduced stage-by-stage by controlling the assembly angle of each rotor.
Findings
The validity and accuracy of the proposed method is verified by the multistage rotors assembly through experiments run with the measuring instruments. Compared with the direct-build method, the initial unbalance of final assembly using proposed method is reduced by 22.2% in four rotors assembly.
Originality/value
Different from the geometric eccentricity propagation control methods to reduce the initial unbalance indirectly, this paper establishes mass eccentric propagation model in multistage rotors assembly of aircraft engine for the first time. It provides a new idea to establish the relationship between the amount of unbalance of each rotor and the initial unbalance of multistage rotors.
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The nuclear purpose of this research paper is to analyse representative bridges around the world as a tourist attraction and iconic element through destination marketing…
Abstract
Purpose
The nuclear purpose of this research paper is to analyse representative bridges around the world as a tourist attraction and iconic element through destination marketing organisations’ (DMOs’) tourism official websites where these are localised and three online travel agencies’ (OTAs’) websites.
Design/methodology/approach
This research used a mixed method. The author carried out Google research (13 March 2023) that included the following search word string “iconic bridges around the world” and “the most famous bridges worldwide” to select the most relevant bridges around the globe. Moreover, this research used a content analysis to examine how Expedia, Booking and Orbitz OTAs promote the bridges through their websites in terms of a tourist attraction, iconic element, tourist package, images and information.
Findings
Findings suggest that the most representative bridges analysed in this study are promoted as iconic element and tourist attraction through DMOs’ websites. Nevertheless, Booking, Expedia and Orbitz OTAs promote and sell products and services related to bridges selected, except in the case of the Millau Viaduct in France, the Si-O-Se-Pol bridge in Iran, the Danyang Kunshan Grand bridge in China and the Royal Gorge in the USA. Furthermore, results support that OTAs need to enhance the quality and variety of products and services that are linked to iconic bridges sightseeing tours because at the moment, there is a great uniformity in the promotion of products and services provided.
Originality/value
This paper contributes to broader debates in the importance of bridges as a tourist attraction and iconic element to attract tourists through tourism promotion websites.
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Abstract
Purpose
This paper aims to forecast the future development of UIC technology according to the changes of IPC in different time periods. The findings also provide a theoretical basis for the UIC policymakers of energy-saving environmental protection industry.
Design/methodology/approach
The present study will take energy-saving technology as an example, through using a two-mode network analysis method to build the four-stage IPC code UIC innovation-technology network, researching UIC innovation network applicant heterogeneity, UIC technology network and technology relevance.
Findings
Through the establishment of UIC innovation-technology two-mode network, namely, applicant node CN and IPC node TN, this paper analyzes the important applicants, focal technologies, correlation of focal technologies and the development trends of energy saving technology in the future by using the related theories and methods of two-mode network.
Originality/value
At present, only about 11% of energy-saving enterprises in China have R&D activities. The government needs to implement top-level design, improve industrial policies, strengthen investment in technology R&D and build a platform for technological innovation in energy-saving industries to support the R&D of common and key technologies in energy-saving industries.
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Meng Wang, Danyang Zhao and Flora F. Gu
This study aims to differentiate two types of relationship exploration – substitute relationship exploration (SRE) and complementary relationship exploration (CRE) – and examine…
Abstract
Purpose
This study aims to differentiate two types of relationship exploration – substitute relationship exploration (SRE) and complementary relationship exploration (CRE) – and examine their effects on a distributor’s detection capability in relationship governance with upstream suppliers and innovation capability in services to downstream customers.
Design/methodology/approach
The authors obtained 176 responses from distributors in the semiconductor industry in China. Structural equation modeling and hierarchical moderated regressions are used to test the hypotheses.
Findings
CRE increases both detection and innovation capability, whereas SRE reduces detection capability and increases innovation capability. Market uncertainty weakens the effect of detection capability but strengthens that of innovation capability on distributor performance.
Research limitations/implications
First, to the best of the authors’ knowledge, this study is among the first to differentiate SRE and CRE, thus enriching the relationship marketing literature. Second, drawing on information economics, the authors uncovered the differential effects of SRE and CRE on detection and innovation capabilities. Third, market uncertainty moderates the effects of the two capabilities on distributor performance.
Practical implications
Distributors should be aware that there are different types of relationship exploration and, for that reason, should explore potential suppliers based on their business needs and firm conditions. The results of this study show that both SRE and CRE are beneficial for distributors’ innovation capability, but SRE reduces their detection capability. Practically, firms need to be aware of the trade-offs associated with different types of relationship exploration. Moreover, when market uncertainty is high, distributors should pay more attention to innovation than to detection capability building.
Originality/value
This study conceptualizes and differentiates between two forms of relationship exploration. By linking them with distributors’ capability building and performance, the authors provide theoretical and practical implications.
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Ruibin Geng, Shichao Wang, Xi Chen, Danyang Song and Jie Yu
With the popularity of social media and, recently, live streaming, internet celebrity endorsements have become a prevalent approach to content marketing for e-commerce sellers…
Abstract
Purpose
With the popularity of social media and, recently, live streaming, internet celebrity endorsements have become a prevalent approach to content marketing for e-commerce sellers. Despite the widespread use of social media and online communities, empirical studies investigating the economic value of user-generated content (UGC) and marketer-generated content (MGC) still lag behind. The purpose of this paper is to contribute both theoretically and practically to capture both first-order effects and second-order effects of internet celebrity endorsements on marketing outcomes in an e-commerce context.
Design/methodology/approach
This study conducts a cross-sectional regression to evaluate the economic value of internet celebrity endorsement, and a panel vector autoregressive model is adopted to examine the relationship between celebrities’ and consumers’ content marketing behaviors and e-commerce sales performance. The authors also adopt look-ahead propensity-score matching technique to correct for selection bias.
Findings
The empirical results show that the content generation efforts of marketers and the interaction behaviors between marketers and consumers will significantly influence the e-commerce sales, which refers to the first-order effects of internet celebrity endorsement. Moreover, interactions within the fan community exert second-order effects of content marketing on sales performance.
Originality/value
This paper provides new insights for e-commerce retailers to evaluate the economic values of internet celebrity endorsement, a new content marketing practice in e-commerce platform.
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Amber L. Cushing and Giulia Osti
This study aims to explore the implementation of artificial intelligence (AI) in archival practice by presenting the thoughts and opinions of working archival practitioners. It…
Abstract
Purpose
This study aims to explore the implementation of artificial intelligence (AI) in archival practice by presenting the thoughts and opinions of working archival practitioners. It contributes to the extant literature with a fresh perspective, expanding the discussion on AI adoption by investigating how it influences the perceptions of digital archival expertise.
Design/methodology/approach
In this study a two-phase data collection consisting of four online focus groups was held to gather the opinions of international archives and digital preservation professionals (n = 16), that participated on a volunteer basis. The qualitative analysis of the transcripts was performed using template analysis, a style of thematic analysis.
Findings
Four main themes were identified: fitting AI into day to day practice; the responsible use of (AI) technology; managing expectations (about AI adoption) and bias associated with the use of AI. The analysis suggests that AI adoption combined with hindsight about digitisation as a disruptive technology might provide archival practitioners with a framework for re-defining, advocating and outlining digital archival expertise.
Research limitations/implications
The volunteer basis of this study meant that the sample was not representative or generalisable.
Originality/value
Although the results of this research are not generalisable, they shed light on the challenges prospected by the implementation of AI in the archives and for the digital curation professionals dealing with this change. The evolution of the characterisation of digital archival expertise is a topic reserved for future research.
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Ming Qi, Jiawei Zhang, Jing Xiao, Pei Wang, Danyang Shi and Amuji Bridget Nnenna
In this paper the interconnectedness among financial institutions and the level of systemic risks of four types of Chinese financial institutions are investigated.
Abstract
Purpose
In this paper the interconnectedness among financial institutions and the level of systemic risks of four types of Chinese financial institutions are investigated.
Design/methodology/approach
By the means of RAS algorithm, the interconnection among financial institutions are illustrated. Different methods, including Linear Granger, Systemic impact index (SII), vulnerability index (VI), CoVaR, and MES are used to measure the systemic risk exposures across different institutions.
Findings
The results illustrate that big banks are more interconnected and hold the biggest scales of inter-bank transactions in the financial network. The institutions which have larger size tend to have more connection with others. Insurance and security companies contribute more to the systemic risk where as other institutions, such as trusts, financial companies, etc. may bring about severe loss and endanger the financial system as a whole.
Practical implications
Since other institutions with low levels of regulation may bring about higher extreme loss and suffer the whole system, it deserves more attention by regulators considering the contagion of potential risks in the financial system.
Originality/value
This study builds a valuable contribution by examine the systemic risks from the perspectives of both interconnection and tail risk measures. Furthermore; Four types financial institutions are investigated in this paper.
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Ming Qi, Danyang Shi, Shaoyi Feng, Pei Wang and Amuji Bridget Nnenna
In this paper, the authors use the balance sheet data to investigate the interconnectedness and risk contagion effects in China's banking sector. They firstly study the network…
Abstract
Purpose
In this paper, the authors use the balance sheet data to investigate the interconnectedness and risk contagion effects in China's banking sector. They firstly study the network structure and centrality of the interbank network. Then, they investigate how and to what extent the credit shock and liquidity shock can lead to the risk propagation in the banking network.
Design/methodology/approach
Referring to the theoretical framework by Haldane and May (2011), this paper uses the network topology theory to analyze the contagion mechanism of credit shock and liquidity shock. Centrality measures and log-log plot are used to evaluate the interconnectedness of China's banking network.
Findings
The network topology has shown clustering effects of large banks in China's financial network. If the Industrial and Commercial Bank of China (ICBC) is in distress, the credit shock has little impact on the Chinese banking sector. However, the liquidity shock has shown more substantial effects than that of the credit shock. The discount rate and the rollover ratio play significant roles in determining the contagion effects. If the credit shock and liquidity shock coincide, the contagion effects will be amplified.
Research limitations/implications
The results of this paper reveal the network structure of China's interbank market and the resilience of banking system to the adverse shock. The findings are valuable for regulators to make policies and supervise the systemic important banks.
Originality/value
The balance sheet data of different types of banks are used to construct a bilateral exposure matrix. Based on the matrix, this paper investigates the knock-on effects of credit shock triggered by the debt default in the interbank market, the knock-on effects of liquidity effects, which is featured by “fire sale” of bank assets, and the contagion effects of combined shocks.