Decomposing 3D building models into architectural elements is an essential step in understanding their 3D structure. Although we focus on landmark buildings, our approach generalizes to arbitrary 3D objects. We formulate the decomposition as a multi-label optimization that identifies individual elements of a landmark. This allows our system to cope with noisy, incomplete, outlier-contaminated 3...

Although it has been emphasized for years, there remains insufficient knowledge on how to decompose the driving forces of carbon emissions that fluctuate with time, especially when considering major natural or socio-economic events. To bridge gap, we use structural decomposition analysis method and select Japan a case study. The results show such events were followed by temporary emission incre...

Recently, a variety of wireless structural health monitoring systems have been demonstrated as viable substitutes for traditional high-cost tethered monitoring systems. In this study, a prototype wireless sensing system is deployed on the Voigt Bridge (La Jolla, CA) and a historical theatre (Detroit, MI) to validate its performance against cabled monitoring systems. Acceleration time history re...

Standard latent variable analysis in structural state space models decomposes variables into contributions of shocks (shock decomposition), or the observable (data decomposition). We propose to link shock decomposition and data what we call double decomposition. This allows us better gauge influence on by taking account transmission mechanism each type shock. show usefulness analyzing role esti...