Pengcheng Yan, Dongqing Liu and Bo Zheng
The purpose of this paper is to forecast the reliable storage life of a certain kind of equipment under the normal stress level.
Abstract
Purpose
The purpose of this paper is to forecast the reliable storage life of a certain kind of equipment under the normal stress level.
Design/methodology/approach
Through the stepping stress acceleration life test and the failure mechanism analysis, this paper aims to confirm the stress level for the stepping stress acceleration life test of a certain kind of equipment and establish the data processing mathematical model and storage life forecasting method.
Findings
The stress level for the stepping stress acceleration life test of a certain kind of equipment is confirmed and the data processing mathematical model and storage life forecasting method is established.
Research limitations/implications
Availability of data is the main limitation affecting which model will be applied.
Practical implications
Useful advice for products' storage life forecasting.
Originality/value
The paper presents a new approach to product storage life estimation.
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Dongqing Liu, Bo Zheng and Pengcheng Yan
The purpose of this paper is to put forward a method which uses a computer to make a large number of simulated tests and determine the reference value of a system reliability…
Abstract
Purpose
The purpose of this paper is to put forward a method which uses a computer to make a large number of simulated tests and determine the reference value of a system reliability index according to a unit reliability index.
Design/methodology/approach
At the beginning of conducting an index demonstration and development on a new system, its unit reliability index can already reflect the unit reliability level accurately. Based on this characteristic, this index is used as the confidence lower limit of single side estimated in the unit reliability interval to find the failure distribution law of the unit. On this basis, a great number of simulated tests are made by a computer to calculate the unit failure number and reliability point estimated value every test.
Findings
The confidence lower limit of single side estimated in the system reliability interval is found by counting up the simulated test data of these units.
Research limitations/implications
Availability of data is the main limitation regarding which model will be applied.
Practical implications
A useful advice for system reliability analysis and calculation.
Originality/value
This paper presents a new approach of system reliability analysis.
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Pengcheng Xiang, Simai Yang, Yongqi Yuan and Ranyang Li
The purpose of this paper is to develop a comprehensive understanding of the public safety risks of international construction projects (ICPs) from the perspective of threat and…
Abstract
Purpose
The purpose of this paper is to develop a comprehensive understanding of the public safety risks of international construction projects (ICPs) from the perspective of threat and vulnerability. A novel and comprehensive risk assessment approach is developed from a systemic perspective and applied to the Belt and Road Initiative (BRI) to improve the public safety risk management strategy for ICPs in BRI.
Design/methodology/approach
First, a public safety risk indicator system was constructed from the two dimensions, namely threat and vulnerability. Next, an integrated measurement model was constructed by combining the Genetic Algorithm-Backpropagation (GA-BP) neural network, fuzzy comprehensive evaluation method and matter-element extension (MME) method. Data from 49 countries involved in the BRI, as well as five typical projects, were used to validate the model. Finally, targeted risk prevention measures were identified for use at the national, enterprise and project levels.
Findings
The findings indicate that while the vulnerability risks of typical projects in each region of the BRI were generally low, threat risks were high in West Asia and North Africa, Commonwealth of Independent States (CIS) countries and South Asia.
Originality/value
First, the structure of the public safety risk system of ICPs was analyzed using vulnerability and system theories. The connotation of public safety risk was defined based on two dimensions, namely threat and vulnerability. The idea of measuring threat risk with public data and measuring vulnerability risk with project data was clarified, and the risk measurement was integrated into the measurement results to help researchers and managers understand and systematically consider the public safety risks of ICPs. Second, a public safety risk indicator system was constructed, including 18 threat risk indicators and 14 vulnerability risk indicators to address the gaps in the existing research. The MEE model was employed to overcome the problem of incompatible indicator systems and provide stable and credible integrated measurement results. Finally, the whole-process public safety risk management scheme designed in this study can help to both provide a reference point for the Chinese enterprises and oversea contractors in market selection as well as improve ICP public safety risk management.
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Pengcheng Li, Qikai Liu, Qikai Cheng and Wei Lu
This paper aims to identify data set entities in scientific literature. To address poor recognition caused by a lack of training corpora in existing studies, a distant supervised…
Abstract
Purpose
This paper aims to identify data set entities in scientific literature. To address poor recognition caused by a lack of training corpora in existing studies, a distant supervised learning-based approach is proposed to identify data set entities automatically from large-scale scientific literature in an open domain.
Design/methodology/approach
Firstly, the authors use a dictionary combined with a bootstrapping strategy to create a labelled corpus to apply supervised learning. Secondly, a bidirectional encoder representation from transformers (BERT)-based neural model was applied to identify data set entities in the scientific literature automatically. Finally, two data augmentation techniques, entity replacement and entity masking, were introduced to enhance the model generalisability and improve the recognition of data set entities.
Findings
In the absence of training data, the proposed method can effectively identify data set entities in large-scale scientific papers. The BERT-based vectorised representation and data augmentation techniques enable significant improvements in the generality and robustness of named entity recognition models, especially in long-tailed data set entity recognition.
Originality/value
This paper provides a practical research method for automatically recognising data set entities in scientific literature. To the best of the authors’ knowledge, this is the first attempt to apply distant learning to the study of data set entity recognition. The authors introduce a robust vectorised representation and two data augmentation strategies (entity replacement and entity masking) to address the problem inherent in distant supervised learning methods, which the existing research has mostly ignored. The experimental results demonstrate that our approach effectively improves the recognition of data set entities, especially long-tailed data set entities.
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Shijun Huang, Pengcheng Du and Yu Hong
With the continuous deepening of China's mixed-ownership reform, the participants in the reform have gradually expanded from state-owned enterprises to private enterprises…
Abstract
Purpose
With the continuous deepening of China's mixed-ownership reform, the participants in the reform have gradually expanded from state-owned enterprises to private enterprises. Whether state-owned equity participation in private enterprises can facilitate the development of environmental, social and governance (ESG) performance in private enterprises is a question that needs urgent examination. This study aims to investigate the impact of state-owned equity participation on the ESG performance of private enterprises.
Design/methodology/approach
Using Chinese listed companies as the research sample, this study uses econometric methods such as multiple regression to analyze the relationship between state-owned equity and the ESG performance of private enterprises. Additionally, it explores the underlying mechanisms and influencing factors of this relationship.
Findings
There is a significant inverted U-shaped relationship between state-owned equity and the ESG performance of private enterprises. Mechanism analysis reveals that resource effects and governance effects play a mediating role in this nonlinear relationship. Furthermore, the authors find that environmental regulation and managers' attention to the environment positively moderate the relationship between state-owned equity participation and ESG performance.
Practical implications
A reasonable equity structure is crucial for enhancing corporate ESG performance. Moderate state-owned equity participation helps to leverage resource integration and governance advantages, which will assist private enterprises in maximizing ESG performance and achieving sustainable development.
Social implications
In advancing the process of mixed-ownership reform, the government should maintain an appropriate proportion of state-owned equity to avoid excessive intervention in enterprise decision-making. At the same time, it should ensure that enterprises can genuinely undertake their social and environmental responsibilities while pursuing economic benefits. This is of great significance for promoting sustainable economic and social development.
Originality/value
This study integrates state-owned equity, ESG and nonlinear relationships into a single research framework. It explores the internal mechanisms and influencing factors of their relationship, overcoming the limitations of previous studies and provides a new perspective for understanding the impact of state-owned equity on corporate ESG performance.
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Chunjiao Jiang and Pengcheng Mao
The purpose of this paper is to examine how Si-shu, a traditional form of local, private education grounded in classical instruction, responded to the rapid modernization of…
Abstract
Purpose:
The purpose of this paper is to examine how Si-shu, a traditional form of local, private education grounded in classical instruction, responded to the rapid modernization of education during the late Qing dynasty and early Republic of China and to explain why these schools, once extraordinarily adaptable, finally disappeared.
Design/methodology/approach:
The authors have examined both primary and secondary sources, including government reports, education yearbooks, professional annals, public archives, and published research to analyze the social, political and institutional changes that reshaped Si-shu in the context of China's late-19th- and early-20th-century educational modernization.
Findings:
Si-shu went through four stages of institutional change during the last century. First, they faced increased competition from new-style (westernized) schools during the late Qing dynasty. Second, they engaged in a process of intense self-reform, particularly after the Xinhai Revolution of 1911. Third, they were marginalized by the new educational systems of the Republic of China, especially the Renxu School System of 1922 and the Wuchen School System of 1928. Finally, after the foundation of the People's Republic of China in 1949, they were considered remnants of feudal culture and forcibly replaced by modern schools.
Originality/value:
This paper brings hitherto unexplored Chinese sources to an English-speaking audience in an effort to shed new light on the history of traditional Chinese education. The fate of Si-shu was part of the larger modernization of Chinese education – a development that had both advantages and disadvantages.
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Songbo Liu, Randall S. Schuler and Pengcheng Zhang
The purpose of this paper is to examine team external learning, particularly focusing on: how leader external learning behavior affects team external learning; how team external…
Abstract
Purpose
The purpose of this paper is to examine team external learning, particularly focusing on: how leader external learning behavior affects team external learning; how team external learning influences employee creativity; and whether team internal learning is a moderator between the cross‐level relationship of external learning and employee creativity in Chinese R&D teams.
Design/methodology/approach
Survey questionnaire were administered to a sample of 80 R&D teams comprising 331 employees from three medium‐sized Chinese high‐tech companies. HLM was used to test cross‐level relationships.
Findings
The paper hypothesizes that: leader external learning positively influences team external learning; team external learning leads to employee creativity; and team internal learning moderates the relationship between team external learning and employee creativity. Results support hypotheses 2 and 3, but not hypothesis 1. In addition, leader external learning is found to positively influence employee creativity.
Practical implications
This study has implications for both team leaders and top management. Although the context of this study is in Chinese R&D teams, all those teams facing similar environment to R&D teams can also learn from this study. There are several interesting implications for scholars who are studying teams, creativity and innovation.
Originality/value
Combining fields of team learning, boundary spanning, creativity and leadership, the paper addresses the following four questions, and provides further insights to the area of team external learning: First, what is the cross level relationship between team external learning and employee creativity? Second, is internal learning a moderator on the relationship between team external learning and employee creativity in R&D project teams? Third, is leader external learning behavior one of antecedents of team external learning? Fourth, is there anything unique about team external learning in Chinese culture? The paper provides research evidence for each of these questions.
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Yuanzhen Chu, Weipeng Sun, Pengcheng Mou, Qiuyu Lin, Yong Jiang and Shuangxi Wang
Steel structures are easily corroded under coastal atmospheric environment due to high humidity and high saltwater spray. To extend service life of steel structure infrastructure…
Abstract
Purpose
Steel structures are easily corroded under coastal atmospheric environment due to high humidity and high saltwater spray. To extend service life of steel structure infrastructure, it is necessary to remove rust and apply paint on the steel structure once a year. However, existing wall-climbing sandblasting robots are difficult to work on narrow steel beams and cause serious environmental pollution. The purpose of this study is to design a robot that can effectively remove rust from narrow steel beams and reduce environmental impact to extend the service life of steel structure infrastructure.
Design/methodology/approach
The heavy-duty wall-climbing robot designed in this study can effectively solve the above problems. The robot achieves adjustable magnetic adsorption force of the permanent magnet adsorption through a novel switch design and can work flexibly and stably on narrow steel beams through a worm-like internal and external alternating motion structure. In addition, it is equipped with a sandblasting recovery device to reduce environmental pollution.
Findings
The on-site test results on steel beams show that trust removal level can reach Sa2.0. The recovery rate of sandblasting and rust removal is close to 95%. The robot can carry a 40 kg sandblasting equipment and move at a speed greater than 40 cm/min, indicating that it can efficiently complete the rust removal work of narrow steel structures.
Originality/value
The originality lies in the design of the robot with features such as adjustable magnetic adsorption, special motion structure for narrow beams and a sandblasting recovery device. The value is that it can solve the problems of existing robots in working on narrow steel beams and environmental pollution and effectively extend the service life of steel structure infrastructure by efficiently removing rust.
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Mingxiao Dai, Xu Peng, Xiao Liang, Xinyu Zhu, Xiaohan Liu, Xijun Liu, Pengcheng Han and Chao Wu
The purpose of this paper is to propose a DC-port voltage balance strategy realizing it by logic combination modulation (LCM). This voltage balance strategy is brief and high…
Abstract
Purpose
The purpose of this paper is to propose a DC-port voltage balance strategy realizing it by logic combination modulation (LCM). This voltage balance strategy is brief and high efficient, which can be used in many power electronic devices adopting the cascaded H-bridge rectifier (CHBR) such as power electronic transformer (PET).
Design/methodology/approach
The CHBR is typically as a core component in the power electronic devices to implement the voltage or current conversion. The modulation method presented here is aiming to solve the voltage imbalance problem occurred in the CHBR with more stable work station and higher reliability in ordinary operating conditions. In particular, by changing the switch states smoothly and quickly, the DC-port voltage can be controlled as the ideal value even one of the modules in CHBR is facing the load-removed problem.
Findings
By using the voltage balance strategy of LCM, the problem of voltage imbalance occurring in three-phase cascaded rectifiers has been solved properly. With the lower modulation depth, the efficiency of the strategy is shown to be better and stronger. The strategy can work reliably and quickly no matter facing the problem as load-removed change or the ordinary operating conditions.
Research limitations/implications
The limitation of the proposed DC-port voltage balance strategy is calculated and proved, in a three-module CHBR, the LCM could balance the DC-port voltage while one module facing the load-removed situation under 0.83 modulation depth.
Originality/value
This paper provides a useful and particular voltage balance strategy which can be used in the topology of three-phase cascaded rectifier. The value of the strategy is that a brief and reliable voltage balance method in the power electronic devices can be achieved. What is more, facing the problem, such as load-removed, in outport, the strategy can response quickly with no switch jump and switch frequency rising.
Details
Keywords
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.