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Article
Publication date: 23 August 2021

Lifang Wu, Zechao Liu, Yupeng Guan, Kejian Cui, Meng Jian, Yuanyuan Qin, Yandong Li, Feng Yang and Tianqin Yang

This paper aims to address the problem of uncertain product quality in digital light processing (DLP) three-dimensional (3D) printing, a scheme is proposed to qualitatively…

372

Abstract

Purpose

This paper aims to address the problem of uncertain product quality in digital light processing (DLP) three-dimensional (3D) printing, a scheme is proposed to qualitatively estimate whether a layer is printed with the qualified quality or not cured .

Design/methodology/approach

A thermochromic pigment whose color fades at 45°C is prepared as the indicator and it is mixed with the resin. A visual surveillance framework is proposed to monitor the visual variation in a period of the entire curing process. The exposure region is divided into 30 × 30 sub-regions; gray-level variation curves (curing curves) in all sub-regions are classified as normal or abnormal and a corresponding printing control strategy is designed to improve the percentage of qualified printed objects.

Findings

The temperature variation caused by the releasing reaction heat on the exposure surface is consistent in different regions under the homogenized light intensity. The temperature in depth begins to rise at different times. The temperature in the regions near the light source rises earlier, and that far from the light source rises later. Thus, the color of resin mixed with the thermochromic pigment fades gradually over a period of the entire solidification process. The color variation in the regions with defects of bubbles, insufficient material filling, etc., is much different from that in the normal curing regions.

Originality/value

A temperature-sensitive organic chromatic chemical pigment is prepared to present the visual variation over a period of the entire curing process. A novel 3D printing scheme with visual surveillance is proposed to monitor the layer-wise curing quality and to timely stop the possible unqualified printing resulted from bubbles, insufficient material filling, etc.

Details

Rapid Prototyping Journal, vol. 27 no. 10
Type: Research Article
ISSN: 1355-2546

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Article
Publication date: 1 September 2019

Yandong Yuan, Zhen Li and Huawei Liang

In order to explore the theory of the spatial layout of urban sports facilities, starting with the analysis of theoretical knowledge, the current situation of public sports…

987

Abstract

In order to explore the theory of the spatial layout of urban sports facilities, starting with the analysis of theoretical knowledge, the current situation of public sports facilities in the central urban area of Jinan is analyzed, the various factors affecting the planning layout are discussed, and the strategies and methods of the layout planning of public sports facilities in Jinan are summarized. The results show that the layout planning of public sports facilities should follow the corresponding patterns and principles. The layout of public sports facilities at all levels should fully consider the factors of urban public transport, urban management system, urban public functions, and reasonable service radius of public sports facilities. It can be seen that excessive pursuit of efficiency will lead to excessive service radius and poor accessibility of urban public sports facilities; excessive pursuit of fairness will result in a small and scattered layout pattern, which easily leads to idle waste.

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Open House International, vol. 44 no. 3
Type: Research Article
ISSN: 0168-2601

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Article
Publication date: 4 January 2013

Su‐Yan Pan

The purpose of this paper is to apply the theory of cultural diplomacy to explore and explain the role and function of the Confucius Institution project and its implications for…

6072

Abstract

Purpose

The purpose of this paper is to apply the theory of cultural diplomacy to explore and explain the role and function of the Confucius Institution project and its implications for understanding of China's soft power projection.

Design/methodology/approach

This paper first presents the theories of soft power and cultural diplomacy as an analytic framework. It then delineates an interpretative illustration of the CI project as a platform for China's cultural diplomacy. The paper concludes with a discussion of the CI project's implications for understanding of China's soft power projection.

Findings

The paper argues that the Confucius Institute project can be understood as a form of cultural diplomacy that is state‐sponsored and university‐piloted, a joint effort to gain China a more sympathetic global reception. As such, the Confucius Institution project involves a complex of soft power techniques. However, it is not entirely representative of soft power capability, because the problems embedded in the project and in the wider society run counter to the Chinese government's efforts to increase the Confucius Institutions’ attractiveness and popularity.

Originality/value

This article sheds light on Chinese universities in the role of “unofficial cultural diplomats.” On this topic, further research may need to explore more fundamental issues that bear far‐reaching significance and impact, i.e. the mechanics of Chinese university involvement in Confucius Institutes. Interesting questions arising from this study may help open up a wider spectrum of research topics for understanding the university‐state relationship, cross‐border higher education, as well as the possibilities and limits of educational globalization. At this stage, this article serves as a start to move scholarship in that direction.

Details

Asian Education and Development Studies, vol. 2 no. 1
Type: Research Article
ISSN: 2046-3162

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Article
Publication date: 4 May 2020

Shan Chen, Fuli Zhou, Jiafu Su, Longxiao Li, Biyu Yang and Yandong He

The paper investigates firms' optimal pricing policies and green strategies in a dynamic green supply chain with consideration of different retail service strategies. The purpose…

904

Abstract

Purpose

The paper investigates firms' optimal pricing policies and green strategies in a dynamic green supply chain with consideration of different retail service strategies. The purpose of the paper is to address the following research questions: (1) What are the optimal pricing policies and green strategies of the dynamic decentralized supply chain with the competitive or supportive retail service? (2) How does the dynamic consumer's perception of green product affect these equilibrium solutions?

Design/methodology/approach

The paper establishes the dynamic game models and then derives a firm's instantaneous and steady-state feedback equilibrium solutions in three scenarios as follows: (1) the integrated supply chain; (2) the decentralized supply chain with competitive retail service and (3) the decentralized supply chain with supportive retail service. Finally, we conduct numerical analyses to compare the firm's instantaneous and steady-state equilibrium solutions and profit in the three scenarios.

Findings

The theoretical and numerical analysis results suggest that the supportive retail service is less inefficient than the competitive retail service in the decentralized supply chain and that the types of retail service have no influence on the green strategy. Moreover, a firm's myopia leads to lowering the greenness degree, retail service level and severe price competition, resulting in economic losses. Consumers’ initial perception of greenness degree determines whether the retailer should adopt the skimming pricing strategy or penetration pricing strategy. Furthermore, only when consumers’ perception of greenness degree is higher than a threshold, will the manufacturer produce green product with positive greenness degree.

Originality/value

This is one of few studies on the effect of different types of retail service on horizontal competition in green supply chain. The extension of the static study by adopting differential game approaches provides researchers with a deeper understanding of the application of retail service in green supply chain.

Details

Asia Pacific Journal of Marketing and Logistics, vol. 33 no. 1
Type: Research Article
ISSN: 1355-5855

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Article
Publication date: 3 August 2023

Yandong Hou, Zhengbo Wu, Xinghua Ren, Kaiwen Liu and Zhengquan Chen

High-resolution remote sensing images possess a wealth of semantic information. However, these images often contain objects of different sizes and distributions, which make the…

186

Abstract

Purpose

High-resolution remote sensing images possess a wealth of semantic information. However, these images often contain objects of different sizes and distributions, which make the semantic segmentation task challenging. In this paper, a bidirectional feature fusion network (BFFNet) is designed to address this challenge, which aims at increasing the accurate recognition of surface objects in order to effectively classify special features.

Design/methodology/approach

There are two main crucial elements in BFFNet. Firstly, the mean-weighted module (MWM) is used to obtain the key features in the main network. Secondly, the proposed polarization enhanced branch network performs feature extraction simultaneously with the main network to obtain different feature information. The authors then fuse these two features in both directions while applying a cross-entropy loss function to monitor the network training process. Finally, BFFNet is validated on two publicly available datasets, Potsdam and Vaihingen.

Findings

In this paper, a quantitative analysis method is used to illustrate that the proposed network achieves superior performance of 2–6%, respectively, compared to other mainstream segmentation networks from experimental results on two datasets. Complete ablation experiments are also conducted to demonstrate the effectiveness of the elements in the network. In summary, BFFNet has proven to be effective in achieving accurate identification of small objects and in reducing the effect of shadows on the segmentation process.

Originality/value

The originality of the paper is the proposal of a BFFNet based on multi-scale and multi-attention strategies to improve the ability to accurately segment high-resolution and complex remote sensing images, especially for small objects and shadow-obscured objects.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 17 no. 1
Type: Research Article
ISSN: 1756-378X

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Article
Publication date: 2 December 2019

Fuli Zhou, Ming K. Lim, Yandong He and Saurabh Pratap

The increasingly booming e-commerce development has stimulated vehicle consumers to express individual reviews through online forum. The purpose of this paper is to probe into the…

714

Abstract

Purpose

The increasingly booming e-commerce development has stimulated vehicle consumers to express individual reviews through online forum. The purpose of this paper is to probe into the vehicle consumer consumption behavior and make recommendations for potential consumers from textual comments viewpoint.

Design/methodology/approach

A big data analytic-based approach is designed to discover vehicle consumer consumption behavior from online perspective. To reduce subjectivity of expert-based approaches, a parallel Naïve Bayes approach is designed to analyze the sentiment analysis, and the Saaty scale-based (SSC) scoring rule is employed to obtain specific sentimental value of attribute class, contributing to the multi-grade sentiment classification. To achieve the intelligent recommendation for potential vehicle customers, a novel SSC-VIKOR approach is developed to prioritize vehicle brand candidates from a big data analytical viewpoint.

Findings

The big data analytics argue that “cost-effectiveness” characteristic is the most important factor that vehicle consumers care, and the data mining results enable automakers to better understand consumer consumption behavior.

Research limitations/implications

The case study illustrates the effectiveness of the integrated method, contributing to much more precise operations management on marketing strategy, quality improvement and intelligent recommendation.

Originality/value

Researches of consumer consumption behavior are usually based on survey-based methods, and mostly previous studies about comments analysis focus on binary analysis. The hybrid SSC-VIKOR approach is developed to fill the gap from the big data perspective.

Details

Industrial Management & Data Systems, vol. 120 no. 1
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 29 September 2020

Fuli Zhou, Yandong He, Panpan Ma and Raj V. Mahto

The booming of the Internet of things (IoT) and artificial intelligence (AI) techniques contributes to knowledge adoption and management innovation for the healthcare industry. It…

787

Abstract

Purpose

The booming of the Internet of things (IoT) and artificial intelligence (AI) techniques contributes to knowledge adoption and management innovation for the healthcare industry. It is of great significance to transport the medical resources to required places in an efficient way. However, it is difficult to exactly discover matched transportation resources and deliver to its destination due to the heterogeneity. This paper studies the medical transportation resource discovery mechanism, leading to efficiency improvement and operational innovation.

Design/methodology/approach

To solve the transportation resource semantic discovery problem under the novel cloud environment, the ontology modelling approach is used for both transportation resources and tasks information modes. Besides, medical transportation resource discovery mechanism is proposed, and resource matching rules are designed including three stages: filtering reasoning, QoS-based matching and user preferences-based rank to satisfy personalized demands of users. Furthermore, description logic rules are built to express the developed matching rules.

Findings

An organizational transportation case is taken as an example to describe the medical transportation logistics resource semantic discovery process under cloud medical service scenario. Results derived from the proposed semantic discovery mechanism could assist operators to find the most suitable resources.

Research limitations/implications

The case study validates the effectiveness of the developed transportation resource semantic discovery mechanism, contributing to knowledge management innovation for the medical logistics industry.

Originality/value

To improve task-resource matching accuracy under cloud scenario, this study develops a transportation resource semantic discovery procedure from the viewpoint of knowledge management. The novel knowledge management practice contributes to operational management of the cloud medical logistics service by introducing ontology modelling and creative management.

Details

Journal of Intellectual Capital, vol. 22 no. 2
Type: Research Article
ISSN: 1469-1930

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Article
Publication date: 4 April 2023

Chenjing Gan, Chi-Ying Cheng, Yandong Chai and Linbo Yang

This study seeks to apply a dual-processing model to understand how ethical leadership prohibits employee unethical behavior through both employee deontic justice and distributive…

1284

Abstract

Purpose

This study seeks to apply a dual-processing model to understand how ethical leadership prohibits employee unethical behavior through both employee deontic justice and distributive justice.

Design/methodology/approach

A survey research was conducted with 62 supervisors and 244 subordinates of 17 firms collected at 2 time points separated by approximately 3 weeks in People's Republic of China.

Findings

A multilevel modeling analysis was used to test the dual-processing model. The results showed that both employee deontic justice (moral intuition process) and distributive justice (deliberate reasoning process) significantly mediate the negative relationship between ethical leadership and employee unethical behavior.

Practical implications

As traditional ethics-training approaches mainly focus on developing the deliberate decision-making process driven by distributive justice, the authors' dual-processing model suggests that moral intuition led by deontic justice is equally important and could significantly inhibit employee unethical behavior. Applying the proposed dual-processing model in the ethics training can enhance the effectiveness of employee moral training.

Originality/value

Previous studies have studied the deliberate reasoning process and moral intuition on employee unethical behavior independently. This study contributes to the current literature by a comprehensive dual-processing model which demonstrates equal impact of employee deontic justice and distributive justice led by ethical leadership on the inhibition of employee unethical behavior.

Details

Management Decision, vol. 61 no. 6
Type: Research Article
ISSN: 0025-1747

Keywords

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Article
Publication date: 27 June 2020

Fuli Zhou, Panpan Ma, Yandong He, Saurabh Pratap, Peng Yu and Biyu Yang

With an increasingly fierce competition of the shipbuilding industry, advanced technologies and excellent management philosophies in the manufacturing industry are gradually…

427

Abstract

Purpose

With an increasingly fierce competition of the shipbuilding industry, advanced technologies and excellent management philosophies in the manufacturing industry are gradually introduced to domestic shipyards. The purpose of this study is to promote the lean management of Chinese ship outfitting plants by lean production strategy.

Design/methodology/approach

To promote the lean implementation of Chinese shipyards, the lean practice of ship-pipe part production is highlighted by lot-sizing optimization and strategic CONWIP (constant work-in-process) control. A nonlinear programming model is formulated to minimize the total cost of ship-pipe part manufacturing and the particle swarm optimization (PSO)-based algorithm is designed to resolve the established model. Besides, the pull-from-the-bottleneck (PFB) strategy is used to control ship-pipe part production, verified by Simulink simulation.

Findings

Results show that the proposed lean strategy of the programming model and strategic PFB control could assist Chinese ship outfitting plants to leverage competitive advantage by waste reduction and lean achievement. Specifically, the PFB double-loop control strategy shows better performance when there is high productivity and the PFB single-loop control outperforms at lower productivity scenarios.

Practical implications

To verify the effectiveness of the proposed lean strategy, a case study is performed to validate the formulated model. Also, simulation experiments realized by FlexSim software are conducted to testify results obtained by the constructed programming model.

Originality/value

Lean production management practice of the shipyard building industry is performed by the proposed lean production strategy through lot-sizing optimization and strategic PFB control in terms of ship-pipe part manufacturing.

Details

Kybernetes, vol. 50 no. 5
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 1 May 2009

Jing Sun, Jiandong Tian, Yingkui Du and Yandong Tang

Shadows, the common phenomena in most outdoor scenes, bring many problems in practical image processing. Shadow detection and removal, especial in uncalibrated outdoor image, is…

511

Abstract

Purpose

Shadows, the common phenomena in most outdoor scenes, bring many problems in practical image processing. Shadow detection and removal, especial in uncalibrated outdoor image, is still a difficult problem. The purpose of this paper is to detect and to remove shadows in single outdoor image based on retinex theory.

Design/methodology/approach

The shadow extraction algorithm originates from a simple idea that the human‐vision‐based retinex has the natural ability to enhance the shadow regions of an image no matter it is penumbrae or umbrae. Shadows are detected by comparing the retinex‐enhanced images with original images in the paper. The shadow removal algorithm in the paper deals with the shadow regions and non‐shadow regions in the images separately using the retinex enhancement algorithm. Through adding smooth light forcibly to shadow edges and introducing shadow edge masks, the authors reduce the effects of shadow edges in shadow removal processing.

Findings

Some real single outdoor images with the umbra regions and those with penumbra regions are both experimented in the paper. Experimental results validate the feasibility of the approach.

Originality/value

The approach proposed here does not use any special prior knowledge and assumptions. The feasibility of this method is testified for detecting and removing both penumbrae and umbrae in the outdoor images.

Details

Industrial Robot: An International Journal, vol. 36 no. 3
Type: Research Article
ISSN: 0143-991X

Keywords

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