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Parametric yield estimation is a critical task for design and validation of analog and mixed-signal (AMS) circuits. However, the computational cost for yield estimation based on Monte Carlo (MC) analysis is often prohibitively high, especially when multiple circuit performances and/or environmental corners (e.g., voltage and temperature corners) are considered. In this paper, a novel statistical method...
With the aggressive scaling of integrated circuit technology, analog performance modeling is facing enormous challenges due to high-dimensional variation space and expensive transistor-level simulation. In this paper, we propose a kernel density based sparse regression algorithm (KDSR) to accurately fit analog performance models where the modeling error is not simply Gaussian due to strong nonlinearity...
A mobile ad hoc network (MANET) is a self-organized system comprised by multiple mobile wireless nodes. Due to the openness in network topology and the absence of centralized administration in management, MANET is vulnerable to attacks from malicious nodes. In order to reduce the hazards from these malicious nodes, we incorporate the concept of trust into the MANET, and build a subjective trust management...
In the algorithms of setting checkpoint intervals, it is significant to minimize the time and space overhead for enhancing computational efficiency. Under the existence of dynamic checkpoint intervals, a novel dynamic checkpoint intervals algorithm, named MDCI, based on hidden semi-Markov model has been proposed, which adopts random time series analysis method. The method not only decreases the computing...
In order to reuse mechanism model of thermodynamic equipment in power plant simulator and decrease the dependence on personpsilas experience during the modeling and parameter optimization, a novel integrated and intelligent model structure was put forward based on the feedback theory in automatic control principle. The mathematics modeling process was compared with closed loop control system, their...
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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