The daily operation and maintenance work of railways are very dangerous. Railway employees often have safety accidents while working, the citizenship behavior (SCB) railway can effectively reduce accident rate. Therefore, it is great significance to identify main constructs affecting SCB minimize accidents. This paper puts forward a supposed model influence mechanism leadership (SL) on employee through mediation attitude (SA). A questionnaire was used with employees, 238 valid responses were...

In recent years, the safety issue of construction workers has become a research hotspot, and many researchers have achieved results in impact behavior regarding China's industry. However, existing about driving factors citizenship is insufficient. To fill this gap, paper explores factor from perspective social capital theory. A cross-sectional questionnaire survey, involving 311 Chinese workers, was conducted to verify influence Social Safety Capital on Citizenship Behavior. The showed that...

With the increasing use of composite materials, their adhesive joints are affected by different environmental factors. To investigate tensile performance material structures in complex environments, this paper conducted strength tests on four types structural adhesives using scanning electron microscopy (SEM) to analyze microstructure failure interface and have studied mechanism under conditions. Finally, finite element method (FEM) is used explain process typical environments. The results...

China's construction industry has experienced a long period of development and reform but compared to developed countries, safety on sites in China continues present serious problems. Safety consciousness citizenship behaviour are influential factors related issues the may play direct role improving personnel sites. However, recently no research been focused relationship between behaviour. Therefore, this paper aimed investigate for working by using questionnaire survey statistical analysis,...

Pavement crack detection on pixel-levels is a high-profile application of computer vision and semantic segmentation. In this paper, two-step convolutional neural network (CNN) method proposed to detect crack-pixels from pavement pictures reduce time consumption. The contains two main parts: CNN-1 for patch classification CNN-2 first part chooses regions with high probability contain cracks sends them get pixel-wise results. cancels down-sampling ensure the size feature map fixed, so it an...

Hot in-place recycling (HIR) of asphalt pavement is deemed as an environmental-friendly maintenance measure. Cost and construction quality were concerned conventionally in the HIR practice despite process itself producing substantial environmental burdens. In this study, a multi-objective optimisation model was therefore developed considering impact, cost for practice. Environmental impact quantified based on discrete-event simulation (DES), which can capture uncertainty activity idling...

(1) Background: The demand for electricity in rural and urban areas has given rise to numerous related industries, resulting perilous working conditions a significant number of safety accidents workers. In recent years, there been an increasing focus on improving occupational health the electric power industry. However, lack systematic review or integration disaggregated studies hindered our understanding state development this research field. This study aims provide bibliometric...

The construction industry has rapidly developed with continuous prosperity in Hong Kong and Mainland China, although accidents still occur unacceptable frequency severity. For promoting the safety issue of workers industry, citizenship behavior (SCB) consciousness (SC) were considered two influential constructs further studied integration sociodemographic theories by scholars. However, no study compared SC SCB terms demographic influence between China Kong. To fill this research gap,...

Considering the increasing number in construction accidents Mainland China and Hong Kong, research on improving safety performance of personnel is important, given essential role it plays occupational development industries. The present study aimed to assess channels through individual perception organizational collectivity a quantitative way by integrating motivation as transition between levels. questionnaire survey was conducted with 180 participants from Kong 197 responses China....

Aiming at the problems of poor signal quality, insufficient communication coverage and low intelligence in urban large-scale parking systems, a city space monitoring system based on power wide area network (LPWAN) is proposed. Taking STM32F103C8T6 microcontroller as core, combined with LoRa NB-IoT wireless technology, low-power long-distance terminal nodes gateway are designed. We also propose multi-priority mixed time slot allocation algorithm, improving throughput ad-hoc network,...

This study intends to use machine learning method solve the problem of predicting number word guessing and difficulty in natural language. Firstly, this smoothed data according COF method. According images sample autocorrelation function partial function, ARMA model is constructed coefficient AMRA calculated, contest people on March 1, 2023 predicted drop [18002,20622]. Second, based seven attributes word, XGBoost classification used predict value first attempt, then prediction results other...

Matchmaking is a critical part of online games which often related to player satisfaction. To pursue fair user experience, matchmaking mechanisms typically try put players with similar skill levels into the same game. The traditional process relies heavily on outcome game instead in-game performance players. This paper proposes new rating system represent level both and teams, along definition measure degree fairness result. Three clustering methods (K-means, AGG BKPP) are investigated...