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Article
Publication date: 1 February 2004

Pietro Giorgio Lovaglio

In this paper we propose a methodology for the estimation of customer satisfaction conceived as a latent variable specified in the American Customer Satisfaction Index…

Abstract

In this paper we propose a methodology for the estimation of customer satisfaction conceived as a latent variable specified in the American Customer Satisfaction Index (ACSI) structural model. The current proposal puts forward: the approaches of structural equations, since it involves the dual problem of indeterminacy of the latent scores and the normality assumed; the PLS approach, because of its drawbacks (shown in depth in the paper). The ACSI model will be estimated in a reduced rank regression (RRR) framework, showing that under a non restrictive hypothesis, shared by PLS, the structural model can be viewed as a RRR model between two blocks of manifest variables. Finally, in the paper an application is shown to assess the students’ satisfaction in respect to the service of a big real estate agency, operating in the houses‐to‐let market, in Bologna (Italy) for 2002.

Details

The TQM Magazine, vol. 16 no. 1
Type: Research Article
ISSN: 0954-478X

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Article
Publication date: 16 August 2019

Shuangshuang Liu and Xiaoling Li

Conventional image super-resolution reconstruction by the conventional deep learning architectures suffers from the problems of hard training and gradient disappearing. In…

Abstract

Purpose

Conventional image super-resolution reconstruction by the conventional deep learning architectures suffers from the problems of hard training and gradient disappearing. In order to solve such problems, the purpose of this paper is to propose a novel image super-resolution algorithm based on improved generative adversarial networks (GANs) with Wasserstein distance and gradient penalty.

Design/methodology/approach

The proposed algorithm first introduces the conventional GANs architecture, the Wasserstein distance and the gradient penalty for the task of image super-resolution reconstruction (SRWGANs-GP). In addition, a novel perceptual loss function is designed for the SRWGANs-GP to meet the task of image super-resolution reconstruction. The content loss is extracted from the deep model’s feature maps, and such features are introduced to calculate mean square error (MSE) for the loss calculation of generators.

Findings

To validate the effectiveness and feasibility of the proposed algorithm, a lot of compared experiments are applied on three common data sets, i.e. Set5, Set14 and BSD100. Experimental results have shown that the proposed SRWGANs-GP architecture has a stable error gradient and iteratively convergence. Compared with the baseline deep models, the proposed GANs models have a significant improvement on performance and efficiency for image super-resolution reconstruction. The MSE calculated by the deep model’s feature maps gives more advantages for constructing contour and texture.

Originality/value

Compared with the state-of-the-art algorithms, the proposed algorithm obtains a better performance on image super-resolution and better reconstruction results on contour and texture.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 12 no. 3
Type: Research Article
ISSN: 1756-378X

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Article
Publication date: 2 August 2019

X.G. Han, J.F. Lv, Y.Z. Chen, Y.C. Shan and J.J. Xu

The purpose of this paper is to investigate the effect of high-intensity pulsed ion beam (HIPIB) intensity on the structure and corrosive properties of microarc oxidation…

Abstract

Purpose

The purpose of this paper is to investigate the effect of high-intensity pulsed ion beam (HIPIB) intensity on the structure and corrosive properties of microarc oxidation (MAO) films on AZ31 magnesium alloy and explore the mechanism for modified anti-corrosion properties of irradiated films.

Design/methodology/approach

The energy deposited on the coating surface influences the remelting process of the MAO coatings significantly, which was closely related to the intensity of HIPIB; therefore, HIPIB with various intensities of 100-350 A/cm2, was selected to modify the MAO films on AZ31 magnesium alloy. The changes in film structure and phase structure of modified films were characterized by scanning electron microscopy and X-ray diffractometry (XRD) with CuKα, respectively. The corrosive behavior of the MAO films was featured with polarization curves and electrochemical impedance spectrum in 3.5 per cent NaCl solution on a PAR 2273 electrochemical workstation.

Findings

The results clearly show that a dense, continual and remelted layer with a few micrometers in thickness was obtained on the irradiated surface at 200 A/cm2, which are mainly responsible for the modified and optimal anti-corrosion property of MAO films by suppressing/retarding the process of the corrosive electrolyte infiltration into magnesium substrate surface.

Originality/value

The paper reveals that HIPIB irradiation could modify the corrosion resistance by producing a remelted compact layer on the MAO film surface at a suitable irradiation parameter and explored the modified mechanism of MAO films.

Details

Anti-Corrosion Methods and Materials, vol. 66 no. 4
Type: Research Article
ISSN: 0003-5599

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Article
Publication date: 3 November 2014

R. Chen, J. Lv, J. Feng, Y. Liu and W. Zhang

The purpose of this paper is to introduce an effective method to discriminate seal inks with Raman microscopy.

Abstract

Purpose

The purpose of this paper is to introduce an effective method to discriminate seal inks with Raman microscopy.

Design/methodology/approach

Raman spectra could effectively avoid interference from the paper and give extra peak information in the inks discrimination and identification. Thus, a Renishaw invia confocal Raman microscope system was employed for ink analysis in this study. A total of 12 representative seal ink samples, widely used in seven Chinese provinces, were investigated using the latest model of Renishaw Raman microscope.

Findings

Four types of inks were identified and discriminated successfully. Popular pigments such as Pigment Scarlet Powder, Pigment Yellow 55, phthalocyanine blue, Bronze red C and PbCrO3 were all identified in these seal ink samples. The indicative peaks to identify and discriminate the inks were also summarised and tentatively interpreted.

Research limitations/implications

More ink samples were needed to establish a useful library. Many other pigments used in inks were still unknown.

Practical implications

This method was proved to be fast, accurate and non-destructive, and it could be more easily applied in real cases than Fourier transform infrared spectroscopy.

Originality/value

This method can help scientists discriminate some inks, which can hardly be discriminated by other techniques. The results are useful for the ink analysis and discrimination in forensic (document examination and file source identification), polymer and pigment fields.

Details

Pigment & Resin Technology, vol. 43 no. 6
Type: Research Article
ISSN: 0369-9420

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Article
Publication date: 4 July 2016

J.G. Lv, S. Liu, J.M. Feng, Y. Liu, S.D. Zhou and R. Chen

The purpose of this paper is to identify different automotive coatings using Confocal Raman microscope which could hardly be differentiated with Fourier transform infrared…

Abstract

Purpose

The purpose of this paper is to identify different automotive coatings using Confocal Raman microscope which could hardly be differentiated with Fourier transform infrared microscope (FTIR).

Design/methodology/approach

Raman spectroscopy was used to provide extra vibration information to infrared spectroscopy. Paints preparation was not necessary, and only 30 s was needed for each sample in an optimised method. Paints were first analysed by FTIR and then compared with Raman microscope.

Findings

Raman microscope was used to address the lack of ability of FTIR in discriminating four groups of paints in same colours. This study indicated that Raman microscopy is especially effective in sensing pigments and could successfully identify all pigments in the paints.

Research limitations/implications

The two instruments in combination produce accurate results than when used individually, especially in complex and multi-layered paints analysis.

Practical implications

The method proved to be fast, accurate and non-destructive, and it could be easily applied to real cases.

Originality/value

With this method, scientists could discriminate some coating types which were hard to be discriminated by other techniques.

Details

Pigment & Resin Technology, vol. 45 no. 4
Type: Research Article
ISSN: 0369-9420

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Article
Publication date: 5 December 2016

Evangelia K. Karaxi, Ioannis A. Kartsonakis and Costas A. Charitidis

Magnesium-aluminum layered double hydroxides (LDH) with a platelet-like morphology were synthesized through a modified co-precipitation method. The purpose of this paper…

Abstract

Purpose

Magnesium-aluminum layered double hydroxides (LDH) with a platelet-like morphology were synthesized through a modified co-precipitation method. The purpose of this paper is to investigate calcined Mg-Al-CO3 LDH (CLDH) as chloride ion traps.

Design/methodology/approach

The morphology and chemical composition of the synthesized materials were studied through UHR-SEM, EDS, FT-IR and XRD. The chloride ion adsorption was confirmed by XRD; the characteristic diffraction peaks of the reconstructed LDH structure were revealed, similar to the one before the thermal treatment process. The effect of varying the experimental conditions on the chloride ion adsorption, such as the initial target-ion concentration, the adsorbent material dosage, the solution temperature and the solution pH was also investigated.

Findings

The experimental data fitting revealed that the Langmuir equation is a better model on the basis of correlation coefficients (R2) and that the pseudo-second kinetic model can satisfactorily describe the chloride ion uptake.

Originality/value

The ability of Mg-Al CLDH to recover their layered structure upon exposure to aqueous sodium chloride solutions with concentrations up to 0.3 M (10,636 mg/L) through the chloride adsorption and the simultaneous rehydration process is clearly demonstrated.

Details

International Journal of Structural Integrity, vol. 7 no. 6
Type: Research Article
ISSN: 1757-9864

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Article
Publication date: 9 September 2021

Jinlei Yang, Yuanjun Zhao, Chunjia Han, Yanghui Liu and Mu Yang

The purpose of the research is to assess the risk of the financial market in the digital economy through the quantitative analysis model in the big data era. It is a big…

Abstract

Purpose

The purpose of the research is to assess the risk of the financial market in the digital economy through the quantitative analysis model in the big data era. It is a big challenge for the government to carry out financial market risk management in the big data era.

Design/methodology/approach

In this study, a generalized autoregressive conditional heteroskedasticity-vector autoregression (GARCH-VaR) model is constructed to analyze the big data financial market in the digital economy. Additionally, the correlation test and stationarity test are carried out to construct the best fit model and get the corresponding VaR value.

Findings

Owing to the conditional heteroscedasticity, the index return series shows the leptokurtic and fat tail phenomenon. According to the AIC (Akaike information criterion), the fitting degree of the GARCH model is measured. The AIC value difference of the models under the three distributions is not obvious, and the differences between them can be ignored.

Originality/value

Using the GARCH-VaR model can better measure and predict the risk of the big data finance market and provide a reliable and quantitative basis for the current technology-driven regulation in the digital economy.

Details

Journal of Enterprise Information Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-0398

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Article
Publication date: 9 January 2020

Nan Xu, Hanyi Tian and Jing Cai

The purpose of this study is to investigate the impact of non-founder CEO succession on firms’ research and development (R&D) decision, and further explore its mechanism…

Abstract

Purpose

The purpose of this study is to investigate the impact of non-founder CEO succession on firms’ research and development (R&D) decision, and further explore its mechanism and economic consequences.

Design/methodology/approach

Using founders’ personal-level information of entrepreneurial firms in the Chinese growth enterprise market from 2009 to 2015, the authors empirically investigate whether firms can be motivated to launch more R&D activities as the result of switching to non-founder CEOs. The author’s further test the impact of non-founder CEOs on R&D output to distinguish their motivation. Moreover, the authors use stepwise regression to explore the mechanism and possible channels.

Findings

The authors find that R&D investment significantly increases in firms with non-founder CEOs and the R&D output that comes in the form of patent exhibits an upward trending in numbers, too, ruling out non-founder CEOs’ incentive to chase private benefits. Specifically, the authors find that non-founder CEOs can promote R&D investment through their more professional human capital and better internal control. The authors also show mitigating effects under different circumstances on the relationship between non-founder CEOs and R&D investment.

Practical implications

This study helps the authors to understand the impact of non-founder CEO succession on R&D investment in emerging markets. It also indicates that human capital of non-founder CEOs is critical in driving firms’ innovation, proposing policy suggestions to improve formal intermediary labor market of professional CEOs.

Originality/value

This study provides elaborate theoretical analysis and empirical tests on the mechanism and economic consequences of (non-)founders’ impact on R&D activities.

Details

Nankai Business Review International, vol. 11 no. 2
Type: Research Article
ISSN: 2040-8749

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Article
Publication date: 11 January 2011

Zhang Yong‐de, Jiang Jin‐gang, Lv Pei‐jun and Wang Yong

It is not an easy and simple task to manufacture a complete denture with high quality. Traditionally, it often needs a medical expert with experience and hand‐on skill…

Abstract

Purpose

It is not an easy and simple task to manufacture a complete denture with high quality. Traditionally, it often needs a medical expert with experience and hand‐on skill, due to the manual way of denture manufacturing. The purpose of this paper is to implement the multi‐manipulator tooth‐arrangement robot system that can fully automate the denture manufacturing process.

Design/methodology/approach

A novel complete denture manufacturing mechanism is designed, which is based on the multi‐manipulator and dental arch generator. The visual tooth‐arrangement and robot control software is developed in VC++6.0. Preliminary experiments on tooth‐arrangement have been conducted using the proposed multi‐manipulator tooth‐arrangement robot prototype system.

Findings

The multi‐manipulator tooth‐arrangement robot prototype system can automatically design and manufacture a set of complete denture that fit a patient by visual tooth‐arrangement and robot control software according to the patient's jaw arch parameters.

Research limitations/implications

The implication of research is that it is feasible that the manufacture strategy of complete denture fulfilled by multi‐manipulator tooth‐arrangement robot. The limitation of research is that it is difficult to realize coordinate control.

Originality/value

The traditional manual method which makes complete denture by medical personal experience will be changed after the multi‐manipulator tooth‐arrangement robot system is manufactured, and adjustment to each tooth position and orientation will be realized by this system.

Details

Industrial Robot: An International Journal, vol. 38 no. 1
Type: Research Article
ISSN: 0143-991X

Keywords

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Article
Publication date: 12 July 2021

Farid Asgari, Fariborz Jolai and Farzad Movahedisobhani

Pumped-storage hydroelectricity (PSH) is considered as an effective method to moderate the difference in demand and supply of electricity. This study aims to understanding…

Abstract

Purpose

Pumped-storage hydroelectricity (PSH) is considered as an effective method to moderate the difference in demand and supply of electricity. This study aims to understanding of the high capacity of energy production, storage and permanent exploitation has been the prominent feature of pumped-storage hydroelectricity.

Design/methodology/approach

In this paper, the optimization of energy production and maintenance costs in one of the large Iranian PSH has been discussed. Hence, a mathematical model mixed integer nonlinear programming developed in this area. Minimizing the difference in supply and demand in the energy production network to multiple energies has been exploited to optimal attainment scheme. To evaluate the model, exact solution CPLEX and to solve the proposed programming model, the efficient metaheuristics are utilized by the tuned parameters achieved from the Taguchi approach. Further analysis of the parameters of the problem is conducted to verify the model behavior in various test problems.

Findings

The results of this paper have shown that the meta-heuristic algorithm has been done in a suitable time, despite the approximation of the optimal answer, and the consequences of research indicate that the model proposed in the studied power plant is applicable.

Originality/value

In pumped-storage hydroelectricity plants, one of the main challenges in energy production issues is the development of production, maintenance and repair scheduling concepts that improves plant efficiency. To evaluate the mathematical model presented, exact solution CPLEX and to solve the proposed bi-objective mixed-integer linear programming model, set of efficient metaheuristics are used. Therefore, according to the level of optimization performed in the case study, it has caused the improvement of planning by 7%–12% and effective optimization processes.

Details

Journal of Modelling in Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-5664

Keywords

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