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Article
Publication date: 13 February 2024

Wenzhen Yang, Shuo Shan, Mengting Jin, Yu Liu, Yang Zhang and Dongya Li

This paper aims to realize an in-situ quality inspection system rapidly for new injection molding (IM) tasks via transfer learning (TL) approach and automation technology.

Abstract

Purpose

This paper aims to realize an in-situ quality inspection system rapidly for new injection molding (IM) tasks via transfer learning (TL) approach and automation technology.

Design/methodology/approach

The proposed in-situ quality inspection system consists of an injection machine, USB camera, programmable logic controller and personal computer, interconnected via OPC or USB communication interfaces. This configuration enables seamless automation of the IM process, real-time quality inspection and automated decision-making. In addition, a MobileNet-based deep learning (DL) model is proposed for quality inspection of injection parts, fine-tuned using the TL approach.

Findings

Using the TL approach, the MobileNet-based DL model demonstrates exceptional performance, achieving validation accuracy of 99.1% with the utilization of merely 50 images per category. Its detection speed and accuracy surpass those of DenseNet121-based, VGG16-based, ResNet50-based and Xception-based convolutional neural networks. Further evaluation using a random data set of 120 images, as assessed through the confusion matrix, attests to an accuracy rate of 96.67%.

Originality/value

The proposed MobileNet-based DL model achieves higher accuracy with less resource consumption using the TL approach. It is integrated with automation technologies to build the in-situ quality inspection system of injection parts, which improves the cost-efficiency by facilitating the acquisition and labeling of task-specific images, enabling automatic defect detection and decision-making online, thus holding profound significance for the IM industry and its pursuit of enhanced quality inspection measures.

Details

Robotic Intelligence and Automation, vol. 44 no. 1
Type: Research Article
ISSN: 2754-6969

Keywords

Article
Publication date: 15 November 2023

Junaidi Junaidi

This study examines the role of ethical leadership in building employee trust, knowledge sharing (KS), job satisfaction and then influencing employee engagement in the workplace.

Abstract

Purpose

This study examines the role of ethical leadership in building employee trust, knowledge sharing (KS), job satisfaction and then influencing employee engagement in the workplace.

Design/methodology/approach

The sample included 610 employees of Indonesia Islamic Bank, obtained through an online survey. Structural equation modelling was used to test the research hypotheses.

Findings

Ethical leadership actively contributes to the growth of employee trust, exchange knowledge frequent and job satisfaction and then become key points to enhance employees’ engagement.

Research limitations/implications

Future research is required to validate across regions and organisations to in light of the findings of the topic study.

Practical implications

Organisational leaders and employees obtain a better understanding of ethics and organisation management field, hence employees and leaders must encourage ethical values as code of conduct in the workplace.

Originality/value

This study demonstrated the extent of the Khan concept for a combination of employee engagement, ethical leadership and KS. It also incorporates employee job satisfaction and the organisational engagement among employees.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-03-2023-0218

Details

International Journal of Social Economics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0306-8293

Keywords

Article
Publication date: 30 January 2024

Bohee So and Ki Han Kwon

This study, a narrative literature review, aims to examine the combined benefits of the active and passive use of social media (SM) for well-being (WB), physical and mental health…

Abstract

Purpose

This study, a narrative literature review, aims to examine the combined benefits of the active and passive use of social media (SM) for well-being (WB), physical and mental health during the COVID-19 pandemic.

Design/methodology/approach

A search strategy has been carried out in the databases: Riss, PubMed, Medline, Scopus and Google Scholar, including all the articles published until 19 October 2023.

Findings

SM offers various benefits, including global risk awareness, health information, social connections and support. With the natural increase in physical inactivity due to COVID-19 social restrictions, SM has been identified as an appropriate tool for promoting physical activity (PA) at home to improve health.

Research limitations/implications

It suggests that the combined use of active and passive benefits of SM could potentially play an important role in public health by increasing individuals’ health behaviours. In addition, dissemination, sharing and social interaction of information provided by YouTube can encourage healthy behaviours, contribute to WB, physical and mental health and raise public health awareness.

Originality/value

The findings presented in this study highlight the combined benefits of differentiating the features of SM use. Compared to other SM platforms, YouTube can be used as a useful tool for home-based PA that promotes health by enabling people to remain active and avoid barriers to PA due to social restrictions during the global crisis. In addition, some recommendations from the findings may help protect against potential risks and improve public health outcomes during global crises, such as the COVID-19 pandemic, among the general public using SM.

Details

Global Knowledge, Memory and Communication, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2514-9342

Keywords

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