Given the substantial computational requirements of stochastic simulation, approximation is essential for efficient analysis of any realistic biochemical system. This paper introduces a new approximation method to reduce the computational cost of …
Synthetic biology uses engineering principles to design circuits out of genetic materials that are inserted into bacteria to perform various tasks. While synthetic combinational Boolean logic gates have been constructed, there are many open issues in …
Abstract — With the aid of model abstractions, biochemical networks can be analyzed at different levels of resolution: from low-level quantitative models to high-level qualitative ones. Furthermore, an ability to change the level of abstraction can …
This paper presents a technique to estimate the stochastic cycle period (SCP), a performance metric for timed asynchronous circuits. This technique uses timed stochastic Petri nets (TSPN) which support choice and arbitrary delay distributions. The …
This paper presents a technique to estimate the stochastic cycle period (SCP), a performance metric for timed asynchronous circuits. This technique uses timed stochastic Petri nets (TSPN) which support choice and arbitrary delay distributions. The …
This thesis presents a method of deriving a performance metric for timed asynchronous circuits called a stochastic cycle period, which uses analytical techniques combined with simulation to capture the stochastic profile of the system. The stochastic …