Anomaly detection is a popular problem in many fields. We investigate an anomaly detection method based on probability density function (PDF) of different status. The constructed PDF only require few training data based on Kullback–Leibler Divergence method and small signal assumption. The measurement matrix was deduced according to principal component analysis (PCA). And the statistical detect...

The purpose of this study is to utilize timber material enhance the in-plane shear strength and deformation capacity a brick wall. proposed strengthening method light-weight easy assemble includes frame, plywood panel, M12 threaded rod with chemical epoxy, hold-down anchor. To evaluate effectiveness reinforced wall, three walls were tested under cyclic horizontal load static compression stress:...

The classical "brick wall," which may, according to quantum mechanics, leak via tunneling, is here shown to be completely transparent when appropriate impedance matching media are placed both in front of and behind the "wall." Optical experiments involving beyond-critical-angle-tunnel barriers in the frustrated total internal reflection scheme which mimic quantum mechanical systems provide conv...

Buildings are the major energy users and by 2035, they will be fourth largest source of greenhouse gas emissions. Phase change materials (PCMs) applied to shift peak-load off-peak-load, positively effecting efficiency building. In this paper, an experimental embedding PCM (Paraffin) with bricks in conventional wall layers is carried out. The effect on thermal diffusion inner surface studied. Ca...

In this paper, a method for through-wall human detection based on the singular values decomposition of the measurement matrices is presented. After demonstrating the sparsity of the matrices using CLEAN algorithm, an SVD algorithm based on Lanczos process is applied to compute their singular values. We also analyze the singular values of matrices constructed by difference square techniques for ...