Visual examination of the workplace and in‐time reminder to failure wearing a safety helmet is particular importance avoid injuries workers at construction site. Video monitoring systems provide large amount unstructured image data on‐site for this purpose, however, requiring computer vision‐based automatic solution real‐time detection. Although growing body literature has developed many deep learning‐based models detect traffic surveillance aspect, an appropriate industry application less...

Construction and demolition waste (CDW) has caused resource waste, environmental pollution ecological damage, thus seriously threatening the construction industry's sustainable development. However, few studies provide a systematic framework for strategic analysis planning of CDW management (CDWM) at regional level, empirical in typical Chinese first-tier cities are unavailable. This study aims to develop analyze internal external conditions CDWM practices through Strength, Weakness,...

Accurate delineation of the volumetric motion left ventricle (LV) heart from tagged magnetic resonance imaging (MRI) is an important area research. The authors have built a system that takes extracted tag line features short axis (SA) and long (LA) image sequences as input fits four-dimensional (4-D) time-varying B-spline model to data by simultaneously fitting knot solids MRI frames via matching three solid planes LV for 4-D tracking. Important advantages are reconstruction surfaces,...

Onsite systematic monitoring benefits hazard prevention immensely. Hazard identification is usually limited due to the semantic gap. Previous studies that integrate computer vision and ontology can address gap detect onsite hazards. However, extracting encoding regulatory documents in a computer-processable format often requires manual work which costly time-consuming. A novel universally applicable framework proposed integrates vision, ontology, natural language processing improve safety...

The improvement of the landslide susceptibility mapping (LSM) is a long-standing problem, as it provides basics for hazard mitigation. Recently, hybrid ensemble deep learning (DL) techniques have witnessed potential this purpose. In paper, we proposed novel DL model, namely GL-ResNet, which employs conventional ResNet blocks feature extraction, long-short term memory (LSTM) structures information storage, and GoogLeNet block (GBlk) to broaden model perception ability. To validate...

Prefabricated construction is a state-of-the-art technology of both socio-economic and environmental benefits, but sometimes, it not welcome due to its high cost. Governments play an important role in deeply promoting prefabricated construction, effects are clear. This paper developed system dynamics model for investigating simulating the impacts government incentive strategies on by considering evolutionary game process between contractors. Data Shanghai, China, collected demonstration...

High-speed railway construction is extending to mountainous areas, and the harsh environment complex climate pose various risks slope construction. This seriously threatens human lives causes huge economic losses. The existing research results on safety of high cutting in HSRs are limited, a complete set risk assessment processes methods has not yet been formed. Therefore, this study, we aimed develop model, including factor identification classification data processing, help project...

Field uniformity is crucial to ensuring the validity of test results for electromagnetic field facilities. In this paper, a guided-wave pulse simulator directly assessed by numerical computational method based on finite integration technique. The simulation are compared with those corresponding experiment, and satisfactory agreement obtained.

Railway engineering generates large amounts of construction and demolition waste (CDW). To quantify the amount CDW generated from railway projects throughout whole life cycle, a process-based cycle assessment model is proposed in this paper. The life-cycle divided into four parts: off-site transportation materials (OSTCM), site operation wastage (SOWCM), discard ballast roadbeds, stationyard, bridges tunnels (DB), reparation renewal aging components (RRAC). Yun-Gui selected as case study to...

Landslides are one of the most widespread natural hazards that cause damage to both property and life every year. Therefore, landslide susceptibility evaluation is necessary for land hazard assessment mitigation landslide-related losses. Selecting an appropriate mapping unit essential step evaluation. This study tested back propagation (BP) neural network technique develop a map in Qingchuan County, Sichuan Province, China. It compared results applying six different slope scales maps...

The poor safety performance of the construction industry is a global concern. Workers’ unsafe behaviors (WUBs) are viewed as critical causes accidents. Thus, it has been leading research topic to identify antecedents WUBs and establish reliable models explain WUBs. Cognitive biases (CBs) salient However, relationships between CBs not further explored in management. As such, this study selected three prevalent CBs, i.e., availability bias (AB), confirmation (FB), overconfidence, investigated...

The behavior of construction workers has a significant impact on the overall safety climate project. purpose this paper is to figure out evolutionary pattern workers' unsafe and minimize its occurrence. We constructed two-sided game model consisting managers explore focal point interest, strategy equilibrium conditions, evolution process. experimental results stability analysis system dynamics show that there are two stable states in all four cases, (Safe behavior, Negative management) as...

Given their occupation’s inherent income instability, the promotion of endowment insurance among construction workers is essential. This research reports barriers and facilitators involved in promoting to workers, by contextualizing it China. It adopts a qualitative approach combining semi-structured interviews thematic analysis. discovered that include (1) workers’ low willingness participate insurance, caused level awareness understanding benefits income, unstable employment situation,...