Abstract: We present an innovative method for characterizing the distributive elastic properties in nonlinear membranes. The method hinges on an inverse elastostatic approach of stress analysis that can ...

Abstract: The action analysis and semantic interpretation of images have recently attracted increased attention in the field of computer vision. However, it is difficult for an intelligent monitoring method based on computer vision ...

Abstract: Developing deep learning network models for computer vision applications in concrete damage detection is a challenging task due to the shortage of training images. To address this issue, this study proposes a novel ...

Abstract: Following the theoretical and computational developments of the pointwise membrane identification method reported in the first part of this paper, we perform a finite inflation test on a rubber ...

Abstract: Knowledge of elastic properties of cerebral aneurysms is crucial for understanding the biomechanical behavior of the lesion. However, characterizing tissue properties using in vivo motion data ...

Abstract: In certain circumstances, near-miss falls can evolve into fall accidents in construction sites. Insight into near-miss falls offers an efficient way to better understand fall accidents. In this context, this paper explores ...

Abstract: The construction industry is facing unique problems in accident prevention. The existing management method for detecting workers’ unsafe behaviors and unsafe states of objects relies primarily on manual monitoring, which ...

Abstract: Rapid investigation and damage assessment are crucial for cultural heritage conservation. At present, mobile crowd sensing (MCS) techniques are very effective for cultural heritage investigation and data collection. ...

Abstract: Construction jobs are more labor intensive than other industrial jobs. Safety problems caused by overworked bodies are common, and the supervision of construction workers is always flawed. In China, piecework has long been ...