Ting Li, Jinsheng Zhang, Shicheng Wang, Dongyu Li, Zhifeng Lv and Jiangjun Jiang
This study aims to find a novel solution to the calibration of three-axis magnetometers to suppress errors of sensors. The nature of the calibration process is parameter…
Abstract
Purpose
This study aims to find a novel solution to the calibration of three-axis magnetometers to suppress errors of sensors. The nature of the calibration process is parameter estimation and hence the purpose of the paper is to calculate the error parameters and eliminate sensor errors and obtain the true value of the pure magnetic field.
Design/methodology/approach
The paper puts forward a calibration method using an alternative iteration looping optimization (AILO) to estimate the parameters. The proposed method divided the parameters to be estimated into two parts: a portion less than one and the other greater than one. Parameters with different orders of magnitude are calculated respectively, which let one part to be a known quantity and the other part is derived by the known quantity; the derived quantity is used to calculate the known quantity again, and looping iteration multiple times until the iteration termination condition is satisfied.
Findings
The simulation and experimental results indicate that the calibration accuracy is improved at least by two orders by the proposed method compared to the two-step method and the linear decreasing weight particle swarm optimization (LDW-PSO) algorithm which proves the validity of the proposed method.
Practical implications
The proposed method can improve the calibration accuracy of total magnetic field, which provides a reference to the calibration of three-axis magnetometers.
Originality/value
A calibration method based on the AILO is proposed in this paper, which is used to improve the calibration accuracy of the three-axis magnetometer.
Details
Keywords
Wang Shicheng, Yang Dongfang, Liu Zhiguo, Luo Dacheng, Zhang Jinsheng and Liu Taiyang
The purpose of this paper is to present a novel scheme of high‐dynamic global positioning system (GPS) software receiver in order to improve the capturing speed and trading…
Abstract
Purpose
The purpose of this paper is to present a novel scheme of high‐dynamic global positioning system (GPS) software receiver in order to improve the capturing speed and trading accuracy of GPS receiver.
Design/methodology/approach
First, the beginning of C/A code can be found through the delay and multiply approach. To solve the problems of estimating a certain satellite's Doppler shift from the signals of several visible satellites, the “delay and accumulation unit” is put forward, and besides, performance of inertial navigation system‐assisted tracking loop in high‐dynamic circumstance is analysed by means of mathematical modelling and simulation experiments, whose results verified the validity of the proposed tracking scheme.
Findings
In this paper, the two‐dimension searching process in conventional acquisition scheme is transformed into two one‐dimension searching processes, thus improving the capturing speed.
Research limitations/implications
This software receiver has only been verified by means of mathematical simulation, and the validity in hardware receiver is still obscured.
Originality/value
This paper presents a novel high‐dynamic GPS software receiver scheme, which can be seen as a reference of engineering application and simulation research.
Details
Keywords
Gives a bibliographical review of the finite element analyses of sandwich structures from the theoretical as well as practical points of view. Both isotropic and composite…
Abstract
Gives a bibliographical review of the finite element analyses of sandwich structures from the theoretical as well as practical points of view. Both isotropic and composite materials are considered. Topics include: material and mechanical properties of sandwich structures; vibration, dynamic response and impact problems; heat transfer and thermomechanical responses; contact problems; fracture mechanics, fatigue and damage; stability problems; special finite elements developed for the analysis of sandwich structures; analysis of sandwich beams, plates, panels and shells; specific applications in various fields of engineering; other topics. The analysis of cellular solids is also included. The bibliography at the end of this paper contains 655 references to papers, conference proceedings and theses/dissertations dealing with presented subjects that were published between 1980 and 2001.
Details
Keywords
Jinsheng Cui, Mengwei Zhang and Jianan Zhong
This research aims to investigate the influence of consumers' anticipated trust in service providers on brand switching intention and its underlying psychological mechanism. More…
Abstract
Purpose
This research aims to investigate the influence of consumers' anticipated trust in service providers on brand switching intention and its underlying psychological mechanism. More importantly, this study explores the moderating role of type of service providers (human staff/humanoid robots/nonhumanoid robots).
Design/methodology/approach
This study adopted two single-factor between-subjects experimental designs and tested the hypotheses in two typical service failure scenarios: Study 1, a hotel scenario (N = 403); and Study 2, a restaurant scenario (N = 323).
Findings
The results suggest that there is an inverted U-shaped relationship between consumers' anticipated trust and tolerance of service failure and that such tolerance has a mediating effect on the relationship between anticipated trust and brand switching intention. Moreover, when service failure is caused by a humanoid service robot, a moderate anticipated trust level of consumers is most conducive to increasing tolerance, which in turn reduces their propensity to switch brands.
Originality/value
This study examines the nature of the relationship between anticipated trust and tolerance in a service failure context, revealing an inverted U-shaped relationship. More importantly, the boundary conditions under which different service provides have an influence on this relationship are incorporated. Finally, this study explores the influence of service failure tolerance on brand switching intentions in a technological context, enriching consumer–brand relationship research.
Details
Keywords
Mengwei Zhang, Jinsheng Cui and Jianan Zhong
With the increasing use of robots in service scenarios in hospitality industries, service failure frequently occurs during the service process, and consumers may react differently…
Abstract
Purpose
With the increasing use of robots in service scenarios in hospitality industries, service failure frequently occurs during the service process, and consumers may react differently toward humanoid vs. nonhumanoid robots due to different performance expectancies. This study focuses on consumers' reactions to service failures by humanoid vs. nonhumanoid robots and the different impacts on brand forgiveness and revisit intentions through performance expectancy for different genders.
Design/methodology/approach
The study used a sample of 280 participants to test the moderated chain mediation model. The participants were instructed to report their performance expectancies for humanoid/nonhumanoid robots and imagine a hotel check-in scenario in which a service failure occurs. Brand forgiveness, brand revisit intention and other demographic information were assessed.
Findings
The results show that consumers have higher performance expectancy for nonhumanoid robots. This performance expectancy generates brand forgiveness and revisit intentions for male consumers but does not affect female consumers' forgiveness and revisit behaviors.
Originality/value
This study contributes to the literature by taking a long-term perspective to investigate the outcomes after service failure, providing evidence for pending questions in previous studies and enriching studies of gender differences. Additionally, this study provides practical implications to consider the use of anthropomorphism in robots, advocate for functional confidence in robots and target consumers across genders.
Details
Keywords
Jinsheng Cui, Mengwei Zhang, Chaonan Yin, Li Li and Jianan Zhong
This paper aimed to explore the influence of envy on impulsive consumption from aspects of the internal psychological mechanism and boundary conditions.
Abstract
Purpose
This paper aimed to explore the influence of envy on impulsive consumption from aspects of the internal psychological mechanism and boundary conditions.
Design/methodology/approach
Based on social comparison theory, four studies were conducted in this research: The first study explored the effect of envy on impulsive consumption; the second study explored the moderating effect of self-monitoring and the mediating effect of materialism; the third study explored the moderating effect of product type and the fourth study explored the effectiveness of social comparison contexts on the arousal of envy.
Findings
Study 1 showed that envy could significantly trigger consumers' impulsive consumption. Study 2 indicated that participants experiencing self-monitoring had a higher level of materialism and a stronger propensity to consume impulsively once the emotion of envy emerged. Study 3 suggested that when participants were more envious, their levels of materialism increased with more impulsivity to buy material products. Study 4 revealed that upward comparisons led to a higher level of envy and re-validated the mediating role of materialism between envy and impulsive consumption.
Research limitations/implications
This study provides evidence for the association between envy and consumer behaviour and clarifies the underlying mechanisms of the relationship between envy and impulsive consumption.
Practical implications
Marketers could take advantage of consumers' envy after social comparisons without damaging brand image.
Originality/value
First, this study extended the effects of envy on consumer decisions, suggesting that envy stimulates impulsive consumption by increasing consumers' materialism. Second, this study revealed the boundary condition of product type, namely, material and experiential.
Details
Keywords
Jinsheng Wang, Lei Luo, Lei Wang, Bengt Ake Sunden and Songtao Wang
The fluid flow in a rotating channel is obviously different from that in a stationary channel due to the existence of Coriolis force, which, in turn, enhances the heat transfer on…
Abstract
Purpose
The fluid flow in a rotating channel is obviously different from that in a stationary channel due to the existence of Coriolis force, which, in turn, enhances the heat transfer on the trailing side and reduces the heat transfer on the leading side. The purpose of this paper is to study various rib configurations combined with channel orientation on heat transfer and frictional loss in a rotating channel.
Design/methodology/approach
In the present study, the k-ω SST model was used as the turbulence model. The fluid flow direction in the channel is radially outward. The angle between the rotation axis and leading side is 45°. The channel aspect ratio (W/H) is 2, the blockage ratio (e/Dn ) is 0.1 and the pitch ratio (P/e) is 10. The Reynolds number is fixed at 10,000 and the rotation number varies from 0 to 0.7. Angled ribs, reversed angled ribs, standard V-shaped ribs and outer-leaning V-shaped ribs, are examined.
Findings
It is found that the reversed angled rib configuration and the outer-leaning V-shaped rib configuration display better heat transfer performance than the V-shaped ribs in rotating condition, which is in contrast to stationary condition. At the leading side, the reversed angled rib and the outer-leaning V-shaped rib show better performance in recovering the heat transfer recession due to the negative effects of the Coriolis force.
Research limitations/implications
In the present study, the fluid is incompressible with constant thermophysical properties and the flow is steady.
Practical implications
The results of this study will be helpful in design of ribbed channels internal cooling for turbine blade.
Originality/value
The results imply that the rib configuration combined with channel orientation significantly impacts the heat transfer performance in a rotating channel. The reversed angled rib and the outer-leaning V-shaped rib show better heat transfer performance than standard V-shaped ribs, especially at high Rotating numbers, which is in contrast to stationary condition. The outer-leaning V-shaped rib has a relatively good heat transfer uniformity along the widthwise direction.
Details
Keywords
Purpose: The purpose of this chapter is to scrutinize the apparent alliance between international and local disability rights movements by contextualizing the process in which the…
Abstract
Purpose: The purpose of this chapter is to scrutinize the apparent alliance between international and local disability rights movements by contextualizing the process in which the disability rights model is being diffused globally. It seeks to critically examine the transplantation and promotion of the international disability rights movement's rights-based model in China.
Approach: This chapter draws from 18 in-depth interviews with local and international disability rights activists through multisite ethnographic fieldwork in China in 2019.
Findings: This chapter finds that despite opening up spaces for resistance and emancipation locally, the international disability rights movement nevertheless constitutes what I call an enclave of rights that insulates the international rights model from the political, social, and economic realities on the ground. In the case of China, the authoritarian politics that define the relationship between the state and civil society, as well as the economic vulnerability of people with disabilities in the post-socialist market economy, limit, if not invalidate, the rights model espoused by the international disability rights movement.
Implications: The findings of this chapter challenge and complicate the current scholarship of the transnational disability rights movement beyond its normative claims of emancipation. They also explore potential spaces and direction for building a new transnational alliance that takes into account the local experience of disability in a rapidly globalized world.
Details
Keywords
Jinsheng Wang, Zhiyang Cao, Guoji Xu, Jian Yang and Ahsan Kareem
Assessing the failure probability of engineering structures is still a challenging task in the presence of various uncertainties due to the involvement of expensive-to-evaluate…
Abstract
Purpose
Assessing the failure probability of engineering structures is still a challenging task in the presence of various uncertainties due to the involvement of expensive-to-evaluate computational models. The traditional simulation-based approaches require tremendous computational effort, especially when the failure probability is small. Thus, the use of more efficient surrogate modeling techniques to emulate the true performance function has gained increasingly more attention and application in recent years. In this paper, an active learning method based on a Kriging model is proposed to estimate the failure probability with high efficiency and accuracy.
Design/methodology/approach
To effectively identify informative samples for the enrichment of the design of experiments, a set of new learning functions is proposed. These learning functions are successfully incorporated into a sampling scheme, where the candidate samples for the enrichment are uniformly distributed in the n-dimensional hypersphere with an iteratively updated radius. To further improve the computational efficiency, a parallelization strategy that enables the proposed algorithm to select multiple sample points in each iteration is presented by introducing the K-means clustering algorithm. Hence, the proposed method is referred to as the adaptive Kriging method based on K-means clustering and sampling in n-Ball (AK-KBn).
Findings
The performance of AK-KBn is evaluated through several numerical examples. According to the generated results, all the proposed learning functions are capable of guiding the search toward sample points close to the LSS in the critical region and result in a converged Kriging model that perfectly matches the true one in the regions of interest. The AK-KBn method is demonstrated to be well suited for structural reliability analysis and a very good performance is observed in the investigated examples.
Originality/value
In this study, the statistical information of Kriging prediction, the relative contribution of the sample points to the failure probability and the distances between the candidate samples and the existing ones are all integrated into the proposed learning functions, which enables effective selection of informative samples for updating the Kriging model. Moreover, the number of required iterations is reduced by introducing the parallel computing strategy, which can dramatically alleviate the computation cost when time demanding numerical models are involved in the analysis.
Details
Keywords
Jinsheng Wang, Muhannad Aldosary, Song Cen and Chenfeng Li
Normal transformation is often required in structural reliability analysis to convert the non-normal random variables into independent standard normal variables. The existing…
Abstract
Purpose
Normal transformation is often required in structural reliability analysis to convert the non-normal random variables into independent standard normal variables. The existing normal transformation techniques, for example, Rosenblatt transformation and Nataf transformation, usually require the joint probability density function (PDF) and/or marginal PDFs of non-normal random variables. In practical problems, however, the joint PDF and marginal PDFs are often unknown due to the lack of data while the statistical information is much easier to be expressed in terms of statistical moments and correlation coefficients. This study aims to address this issue, by presenting an alternative normal transformation method that does not require PDFs of the input random variables.
Design/methodology/approach
The new approach, namely, the Hermite polynomial normal transformation, expresses the normal transformation function in terms of Hermite polynomials and it works with both uncorrelated and correlated random variables. Its application in structural reliability analysis using different methods is thoroughly investigated via a number of carefully designed comparison studies.
Findings
Comprehensive comparisons are conducted to examine the performance of the proposed Hermite polynomial normal transformation scheme. The results show that the presented approach has comparable accuracy to previous methods and can be obtained in closed-form. Moreover, the new scheme only requires the first four statistical moments and/or the correlation coefficients between random variables, which greatly widen the applicability of normal transformations in practical problems.
Originality/value
This study interprets the classical polynomial normal transformation method in terms of Hermite polynomials, namely, Hermite polynomial normal transformation, to convert uncorrelated/correlated random variables into standard normal random variables. The new scheme only requires the first four statistical moments to operate, making it particularly suitable for problems that are constraint by limited data. Besides, the extension to correlated cases can easily be achieved with the introducing of the Hermite polynomials. Compared to existing methods, the new scheme is cheap to compute and delivers comparable accuracy.