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Article
Publication date: 8 September 2021

Yuezong Wang, Jinghui Liu, Mengfei Guo and LiuQIan Wang

A three-dimensional (3D) printing error simulation approach is proposed to analyze the influence of tilted vertical beams on the 3D printing accuracy. The purpose of this…

Abstract

Purpose

A three-dimensional (3D) printing error simulation approach is proposed to analyze the influence of tilted vertical beams on the 3D printing accuracy. The purpose of this study is to analyze the influence of such errors on printing accuracy and printing quality for delta-robot 3D printer.

Design/methodology/approach

First, the kinematic model of a delta-robot 3D printer with an ideal geometric structure is proposed by using vector analysis. Then, the normal kinematic model of a nonideal delta-robot 3D robot with tilted vertical beams is derived based on the above ideal kinematic model. Finally, a 3D printing error simulation approach is proposed to analyze the influence of tilted vertical beams on the 3D printing accuracy.

Findings

The results show that tilted vertical beams can indeed cause 3D printing errors and further influence the 3D printing quality of the final products and that the 3D printing errors of tilted vertical beams are related to the rotation angles of the tilted vertical beams. The larger the rotation angles of the tilted vertical beams are, the greater the geometric deformations of the printed structures.

Originality/value

Three vertical beams and six horizontal beams constitute the supporting parts of the frame of a delta-robot 3D printer. In this paper, the orientations of tilted vertical beams are shown to have a significant influence on 3D printing accuracy. However, the effect of tilted vertical beams on 3D printing accuracy is difficult to capture by instruments. To reveal the 3D printing error mechanisms under the condition of tilted vertical beams, the error generation mechanism and the quantitative influence of tilted vertical beams on 3D printing accuracy are studied by simulating the parallel motion mechanism of a delta-robot 3D printer with tilted vertical beams.

Details

Rapid Prototyping Journal, vol. 27 no. 9
Type: Research Article
ISSN: 1355-2546

Keywords

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Article
Publication date: 20 February 2008

Jinghui Liu and Dennis Taylor

The purpose of this paper is to provide Australian evidence on both the extent and key determinants of discretionary disclosure in company annual reports of information

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6746

Abstract

Purpose

The purpose of this paper is to provide Australian evidence on both the extent and key determinants of discretionary disclosure in company annual reports of information about top executives' share rights, options and termination entitlement. Such information has value‐relevance to shareholders and the public, but prior evidence is lacking about the factors that influence top managements' decisions to voluntarily disclose or withhold personally sensitive details about their own remuneration.

Design/methodology/approach

The extent and nature of executive remuneration disclosure are obtained from the content analysis of annual reports of 191 Australian listed companies for the years 2003 and 2004, prior to a more detailed prescriptive regulatory environment occurring in this area when international financial reporting standards became effective in 2005. To explain the factors that could influence managements' decisions about the extent of discretionary disclosure details concerning their own remuneration, the perspectives of legitimacy theory and corporate governance structures are invoked. Relationships are hypothesized and tested between the extent of remuneration disclosure and the following variables: shareholder activism, media attention, company size, board composition and existence of a remuneration committee.

Findings

Regression results reveal significant relationships between these determinants and the extent of disclosures of rights, options and termination benefits of executives. These results suggested that, under a relatively unregulated environment, corporate management will react to community and shareholders' expectations by revealing personally sensitive information when their company is placed in a situation of higher shareholder and public scrutiny and when it is structured to meet expectations of good corporate governance.

Originality/value

This study advances knowledge of the influence that companies' legitimation circumstances and corporate governance structures can have on public disclosure decisions by management about the level of detail of their remuneration – information that is of high interest to shareholders and personally sensitive to management.

Details

Corporate Governance: The international journal of business in society, vol. 8 no. 1
Type: Research Article
ISSN: 1472-0701

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Article
Publication date: 16 January 2007

Jinghui Liu and Ian Alexander Eddie

This study attempts to examine the issues relating to corporate financial reporting of Chinese listed companies under specified institutional settings as companies with…

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1089

Abstract

Purpose

This study attempts to examine the issues relating to corporate financial reporting of Chinese listed companies under specified institutional settings as companies with different share‐categories are required to prepare annual reports under various General Accepted Accounting Principles (GAAP).

Design/methodology/approach

This study selects Chinese companies that issue negotiable shares to examine whether corporate disclosure patterns are different under various institutional settings. Negotiable shares can be traded on stock exchanges and are divided into A‐, B‐ and H‐shares. The extent of corporate disclosure is obtained from the content analysis of annual reports for 191 sampled Chinese listed companies with various share categories. The association are hypothesized and tested between the level of corporate disclosure and the following corporate determinants: company size, profitability, auditor, leverage, industry and ownership structure.

Findings

The extensive regulations and different standards influence on disclosures of companies with foreign investment participation and overseas listing status. By reconciliation of their annual reports according to the IFRSs or the GAAP of the listing country, these companies increased information disclosure voluntarily in order to enhance their reputation and credibility. Some corporate factors, such as company size, profitability and the size of auditor, have influenced the level of corporate disclosure in annual reports of domestic and foreign share‐based companies. Ownership structure has positive impact on the level of disclosure for companies with domestic investors.

Originality/value

This study advances knowledge of the influence that legislative circumstances and ownership structures can have on disclosure decisions made by management in their annual reports. This information is of high interest to domestic and foreign investors and regulators in understanding of financial reporting in Chinese listed companies.

Details

Asian Review of Accounting, vol. 15 no. 1
Type: Research Article
ISSN: 1321-7348

Keywords

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Article
Publication date: 4 November 2014

Yongqing Li, Ian Eddie and Jinghui Liu

The purpose of this paper is to investigate the potential impact of the approved Australian carbon emissions reduction plan on the cost of capital and the association…

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1742

Abstract

Purpose

The purpose of this paper is to investigate the potential impact of the approved Australian carbon emissions reduction plan on the cost of capital and the association between companies’ carbon emission intensity and the cost of capital.

Design/methodology/approach

A sample of Australian Stock Exchange 200 (ASX 200)-indexed companies from 2006 to 2010 is used. Hypotheses are tested based on Heckman’s two-stage approach. Three regression models are developed to examine the association between carbon emissions and the cost of capital.

Findings

Using a sample of ASX 200-indexed listed companies, the paper finds that the cost of capital, including the cost of debt and the cost of equity, will increase for emissions-liable companies. Results also show that the cost of debt is positively correlated with a company’s emission intensity. However, little evidence supports that the emission intensity affects the cost of equity.

Originality/value

As it is evident that the emissions reduction plan will adversely affect corporate entities’ cost of capital, this study suggests that companies, investors and lenders need to include carbon emission in risk analysis. An emissions-liable company should establish strategies to combat the impact of the Plan on rising cost that comes with the enforcement of the Plan. Government assistance is essential in the transitional period.

Details

Review of Accounting and Finance, vol. 13 no. 4
Type: Research Article
ISSN: 1475-7702

Keywords

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Book part
Publication date: 1 January 2008

Abstract

Details

Corporate Governance in Less Developed and Emerging Economies
Type: Book
ISBN: 978-1-84855-252-4

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Article
Publication date: 13 May 2021

Catherine Annis, Jinghui (Jove) Hou and Tian Tang

The purpose of this paper is to understand citizens' perceptions of smartphone-based city management apps and to identify facilitators and barriers that influence app…

Abstract

Purpose

The purpose of this paper is to understand citizens' perceptions of smartphone-based city management apps and to identify facilitators and barriers that influence app adoption and use. An aim is to identify how current technology adoption theories might be expanded and enriched for studying citizen adoption of city apps in the US.

Design/methodology/approach

This paper presents a qualitative exploratory case study of citizen perceptions of city management apps in Tallahassee, a top-ranked digital city in the southeastern United States. The authors derive empirical data from focus group discussions with citizens using thematic analysis.

Findings

Overall, the findings suggest that city management apps are primarily perceived and used by citizens as handy and efficient tools for the provision of information and public services. The findings suggest that current technology adoption and use models applied to citizen adoption of m-government may benefit by being expanded for the US context.

Originality/value

This paper highlights what factors of m-government technology are effective, useful or inhibiting in citizens' lives from the perspective of a group of citizens in the southeastern US. Implications that might be learned for researchers and practitioners are discussed.

Details

Information Technology & People, vol. 34 no. 4
Type: Research Article
ISSN: 0959-3845

Keywords

Content available
Article
Publication date: 25 October 2021

Cong Li, YunFeng Xie, Gang Wang, XianFeng Zeng and Hui Jing

This paper studies the lateral stability regulation of intelligent electric vehicle (EV) based on model predictive control (MPC) algorithm.

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61

Abstract

Purpose

This paper studies the lateral stability regulation of intelligent electric vehicle (EV) based on model predictive control (MPC) algorithm.

Design/methodology/approach

Firstly, the bicycle model is adopted in the system modelling process. To improve the accuracy, the lateral stiffness of front and rear tire is estimated using the real-time yaw rate acceleration and lateral acceleration of the vehicle based on the vehicle dynamics. Then the constraint of input and output in the model predictive controller is designed. Soft constraints on the lateral speed of the vehicle are designed to guarantee the solved persistent feasibility and enforce the vehicle’s sideslip angle within a safety range.

Findings

The simulation results show that the proposed lateral stability controller based on the MPC algorithm can improve the handling and stability performance of the vehicle under complex working conditions.

Originality/value

The MPC schema and the objective function are established. The integrated active front steering/direct yaw moments control strategy is simultaneously adopted in the model. The vehicle’s sideslip angle is chosen as the constraint and is controlled in stable range. The online estimation of tire stiffness is performed. The vehicle’s lateral acceleration and the yaw rate acceleration are modelled into the two-degree-of-freedom equation to solve the tire cornering stiffness in real time. This can ensure the accuracy of model.

Details

Journal of Intelligent and Connected Vehicles, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2399-9802

Keywords

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Article
Publication date: 1 June 2021

Na Li and Kai Ren

Automatic segmentation of brain tumor from medical images is a challenging task because of tumor's uneven and irregular shapes. In this paper, the authors propose an…

Abstract

Purpose

Automatic segmentation of brain tumor from medical images is a challenging task because of tumor's uneven and irregular shapes. In this paper, the authors propose an attention-based nested segmentation network, named DAU-Net. In total, two types of attention mechanisms are introduced to make the U-Net network focus on the key feature regions. The proposed network has a deep supervised encoder–decoder architecture and a redesigned dense skip connection. DAU-Net introduces an attention mechanism between convolutional blocks so that the features extracted at different levels can be merged with a task-related selection.

Design/methodology/approach

In the coding layer, the authors designed a channel attention module. It marks the importance of each feature graph in the segmentation task. In the decoding layer, the authors designed a spatial attention module. It marks the importance of different regional features. And by fusing features at different scales in the same coding layer, the network can fully extract the detailed information of the original image and learn more tumor boundary information.

Findings

To verify the effectiveness of the DAU-Net, experiments were carried out on the BRATS 2018 brain tumor magnetic resonance imaging (MRI) database. The segmentation results show that the proposed method has a high accuracy, with a Dice similarity coefficient (DSC) of 89% in the complete tumor, which is an improvement of 8.04 and 4.02%, compared with fully convolutional network (FCN) and U-Net, respectively.

Originality/value

The experimental results show that the proposed method has good performance in the segmentation of brain tumors. The proposed method has potential clinical applicability.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 14 no. 3
Type: Research Article
ISSN: 1756-378X

Keywords

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