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Article

Zhifeng Liu, Junyuan Guo, Yumo Wang, Dong Xiangmin, Yue Wu, Zhijie Yan and Gong Jinlong

This paper aims to propose a method for finding the maximum rotational speed of an inclined turntable at which the stability of the bearing oil film is maintained.

Abstract

Purpose

This paper aims to propose a method for finding the maximum rotational speed of an inclined turntable at which the stability of the bearing oil film is maintained.

Design/methodology/approach

The finite difference method was used to solve the Reynolds equation. Variation of bearing capacity of a tilted hydrostatic turret over time was determined. The combined effect of tilt and rotational speed of the turret on the oil film stability was also analyzed.

Findings

When the turntable is operated at low speeds with only small angle of tilt, stability of the oil film is maintained. At lower rotational speeds, a smaller angle of tilt improves the bearing capacity and ensures stability of the oil film. Whereas, higher rotational speeds can have a considerable influence on the bearing capacity.

Originality/value

The results demonstrate that the inclination or tilt of the turntable significantly affects the stability of the oil film.

Details

Industrial Lubrication and Tribology, vol. 72 no. 5
Type: Research Article
ISSN: 0036-8792

Keywords

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Article

Zhijie Guan, Yan Xu, Hong Jiang and Guogang Jiang

The purpose of this paper is to analyze raw materials, labor, capital, demand, related industries, strategies and policies influencing international competitiveness of…

Abstract

Purpose

The purpose of this paper is to analyze raw materials, labor, capital, demand, related industries, strategies and policies influencing international competitiveness of Chinese textile and clothing industry.

Design/methodology/approach

The analysis is conducted using “Diamond Model”, in which raw materials, labor, capital, demand, related industries, strategies and policies are included as explanatory variables, and the impacts of international competitiveness on market share (MS), trade competitiveness(TC) and revealed comparative advantage(RCA) are examined based on the estimated coefficients of these variables.

Findings

These factors have different effects on TC, MS and RCA. While their effects on TC and MS are similar in sign even though their degree of significance differs, their effects on RCA are opposite to TC and MS except for capital. Raw materials and capital have negative effects on TC and MS, while the other factors have positive ones. Raw materials have positive effects on RCA, but all other factors have negative ones.

Practical/implications

The results from this study imply that it is necessary to increase investment in fixed assets of Chinese textile and clothing industry, speed up the pace of upgrading equipment, improve the level of industrialization, while strengthening the supply of textile raw materials, and lowering raw material prices, thereby reducing the cost of textile and clothing enterprises.

Originality/value

To the best of the authors’ knowledge, this is the first empirical research made using econometric model about the impact of the main factors of trade competitiveness in Chinese textile and clothing industry based on the “Diamond Model”.

Details

Journal of Chinese Economic and Foreign Trade Studies, vol. 12 no. 1
Type: Research Article
ISSN: 1754-4408

Keywords

Content available
Article

Nida Gull, Muhammad Asghar, Qader Aleem Ahmed, Asim Rafique Muhammad, Ahmed Syed Jameel and Shan-e Ali

This study aims to extend the understanding of entrepreneurial orientation (EO) by investigating the international EO (IEO) from the perspective of the international…

Abstract

Purpose

This study aims to extend the understanding of entrepreneurial orientation (EO) by investigating the international EO (IEO) from the perspective of the international performance of born global firms. The born global firm's EOs toward global firms led to innovation and dynamic organizational capabilities and to improve the firms' international performance and development.

Design/methodology/approach

It is a hypothesis that IEO predicted that utilization of export promotion programs (EPPs) would be positively associated with international performance. The samples of 405 respondents were collected from born global firms to acquire higher international performance of firms in China. Structural equation modeling (SEM) and mediation analysis are processed to test the proposed hypotheses empirically.

Findings

The results from the SEM test revealed that the network relationships and utilization of EPPs fully mediate the effect of IEO on international performance. These results indicate that not only IEO is an important factor of network relationships but also the utilization of EPPs and international performance for born global firms. IEO can motivate managers to find the right network relationships and ultimately improve company performance. The IEO of the initiative has strong impact on the performance of international firms.

Originality/value

There is a comprehensive view among the relationships of IEO, entrepreneurial competencies and the network utilization of government EPPs, international performance in the context of born global firms. Theoretical and practical implications are discussed in detail.

Details

Vilakshan - XIMB Journal of Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0973-1954

Keywords

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Article

Zhijie Wen, Qikun Zhao and Lining Tong

The purpose of this paper is to present a novel method for minor fabric defects detection.

Abstract

Purpose

The purpose of this paper is to present a novel method for minor fabric defects detection.

Design/methodology/approach

This paper proposes a PETM-CNN algorithm. PETM-CNN is designed based on self-similar estimation algorithm and Convolutional Neural Network. The PE (Patches Extractor) algorithm extracts patches that are possible to be defective patches to preprocess the fabric image. Then a TM-CNN (Triplet Metric CNN) method is designed to predict labels of the patches and the final label of the image. The TM-CNN can perform better than normal CNN.

Findings

This algorithm is superior to other algorithms on the data set of fabric images with minor defects. The proposed method achieves accurate classification of fabric images whether it has minor defects or not. The experimental results show that the approach is effective.

Originality/value

Traditional fabric defects detection is not effective as minor defects detection, so this paper develops a method of minor fabric images classification based on self-similar estimation and CNN. This paper offers the first investigation of minor fabric defects.

Details

International Journal of Clothing Science and Technology, vol. 33 no. 1
Type: Research Article
ISSN: 0955-6222

Keywords

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Article

Zhijie Tang, Qian Luo, Xinnan Leng, Pinglong Liu and Jun Luo

The purpose of this study is to design a spherical sensor which can detect the surge from various directions to lay the foundation of the research of surge.

Abstract

Purpose

The purpose of this study is to design a spherical sensor which can detect the surge from various directions to lay the foundation of the research of surge.

Design/methodology/approach

This paper designed a spherical sensor to detect the impact force generated by the surge. To realize the depth and stability control of the shallow underwater vehicles, it is necessary to do research and analysis on the surge in shallow waters. The spherical sensor with novel structure was skillfully composed of 24 cantilever beam pressure-type strain sensors. It is powerful to detect the surge from various directions simultaneously.

Findings

It is proved that the spherical sensor can accurately collect the surge data from multiple directions through experiments, which laid the foundation of the anti-surge study.

Research limitations/implications

Surge is not a new topic. But there is no effective tool to detect surge. The research of this paper is an attempt to provide an available tool to analyze surge. The research limitation is that the pool where the spherical sensor is installed is a little small. In the future, a bigger pool can be used.

Practical implications

A deep and comprehensive analysis of surge can be conducted according to the surge data detected by the spherical sensor to achieve the essential features of surge. This lays the foundation for the accurate control of Autonomous Underwater Vehicles (AUVs), especially fixed depth and stability control.

Social implications

As the control accuracy of AUVs increases, the AUVs can perform much more difficult tasks such as port monitoring, underwater salvaging, underwater pipeline maintenance and so on. These can be applied in commercial applications or in the national defense of many countries.

Originality/value

A novel spherical sensor using 24 cantilever beam pressure-type strain sensors to detect the surge was designed. The spherical sensor was installed in the physical surge simulator to collect surge data and conduct an analysis of the collected data.

Details

Sensor Review, vol. 36 no. 2
Type: Research Article
ISSN: 0260-2288

Keywords

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Article

Qi Wang, Pengcheng Zhang, Jianming Wang, Qingliang Chen, Zhijie Lian, Xiuyan Li, Yukuan Sun, Xiaojie Duan, Ziqiang Cui, Benyuan Sun and Huaxiang Wang

Electrical impedance tomography (EIT) is a technique for reconstructing the conductivity distribution by injecting currents at the boundary of a subject and measuring the…

Abstract

Purpose

Electrical impedance tomography (EIT) is a technique for reconstructing the conductivity distribution by injecting currents at the boundary of a subject and measuring the resulting changes in voltage. Image reconstruction for EIT is a nonlinear problem. A generalized inverse operator is usually ill-posed and ill-conditioned. Therefore, the solutions for EIT are not unique and highly sensitive to the measurement noise.

Design/methodology/approach

This paper develops a novel image reconstruction algorithm for EIT based on patch-based sparse representation. The sparsifying dictionary optimization and image reconstruction are performed alternately. Two patch-based sparsity, namely, square-patch sparsity and column-patch sparsity, are discussed and compared with the global sparsity.

Findings

Both simulation and experimental results indicate that the patch based sparsity method can improve the quality of image reconstruction and tolerate a relatively high level of noise in the measured voltages.

Originality/value

EIT image is reconstructed based on patch-based sparse representation. Square-patch sparsity and column-patch sparsity are proposed and compared. Sparse dictionary optimization and image reconstruction are performed alternately. The new method tolerates a relatively high level of noise in measured voltages.

Details

Sensor Review, vol. 37 no. 3
Type: Research Article
ISSN: 0260-2288

Keywords

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Book part

Yusheng Peng

Using the 1995 Third Industrial Census data in China, I explore the impact of inward FDI on the productivity performance of domestic SOEs. Multilevel analyses of city- and…

Abstract

Using the 1995 Third Industrial Census data in China, I explore the impact of inward FDI on the productivity performance of domestic SOEs. Multilevel analyses of city- and firm-level data show that presence of FDI-related firms (sanzi qiye) in a city significantly improves the total factor productivity of SOEs that are located in the same city but not affiliated with FDI. I interpret the effects as not only technology spillovers but also as FDI-induced institutional innovations and reforms.

Details

Work and Organizationsin China Afterthirty Years of Transition
Type: Book
ISBN: 978-1-84855-730-7

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Article

Dnyaneshwar Ghode, Vinod Yadav, Rakesh Jain and Gunjan Soni

Blockchain technology (BT) is setting world-shattering standard in all type of transactions in business. BT has the prospective to drastically transform supply chain (SC)…

Abstract

Purpose

Blockchain technology (BT) is setting world-shattering standard in all type of transactions in business. BT has the prospective to drastically transform supply chain (SC). The main challenge is to enhance trust among the SC stakeholders. This paper aims to identify and prioritize the factors and its challenges that influence the adoptability of BT in SC. The prioritization of these factors will be helpful to the practitioners to decide the strategy of implementing the BT in SC.

Design/methodology/approach

The factors influencing adoption of BT are identified from the review of literature and expert opinion is used to rank the factors influencing the adoptability of BT in SC using grey relational analysis (GRA).

Findings

We identified and prioritized key factors: inter-organizational trust and relational governance as organizational challenge, data transparency and data immutability as technological challenge, interoperability and product type as operational challenge and social influence and behavioral intention as social challenge that influences adoptability of BT in SC.

Originality/value

The priority of these factors will guide future researchers and industry practitioners to plan rational and financial strategy for implementing BT in SC.

Details

Journal of Enterprise Information Management, vol. 33 no. 3
Type: Research Article
ISSN: 1741-0398

Keywords

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