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Taking a 1000MW ultra-supercritical once-through boiler as an example for research, two kinds of soft measurement methods of once-through boiler water-coal ratio is studied: With Auto Regressive Integrated Moving Average (ARIMA) time series method, water-coal ratio data after filtering is processed with parameter estimation and dynamic prediction, then the error analysis verified the model can accurately...
Tunable circuit has emerged as a promising methodology to address the grand challenge posed by process variations. Efficient high-dimensional performance modeling of tunable analog/RF circuits is an important yet challenging task. In this paper, we propose a novel performance modeling approach for tunable circuits, referred to as Correlated Bayesian Model Fusion (C-BMF). The key idea is to encode...
Atrial regions hosting dominant frequency (DF) may represent potential drivers of persistent atrial fibrillation (persAF). Previous work showed that DF can exhibit cyclic behaviour. This study aims to better understand the spatiotemporal behaviours of persAF over longer time periods. 10 patients undergoing persAF ablation targeted at DF were included. Left atrial (LA) non-contact virtual electrograms...
In this paper, we propose a novel multi-mode/multi-corner sparse regression (MSR) algorithm to build large-scale performance models of integrated circuits at multiple working modes and environmental corners. Our goal is to efficiently extract multiple performance models to cover different modes/corners with a small number of simulation samples. To this end, an efficient Bayesian inference with shared...
This paper proposes a new approach to analyze crosstalk of coupled interconnects in the presence of process variations. The suggested method translates correlated process variations into orthogonal random variables by principle component analysis (PCA). combined with polynomial chaos expression (PCE), the technique utilizes Stochastic Collocation Method (SCM) to analyze the system response of coupled...
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