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This paper presents an approach for controlling gene networks based on a Markov chain model, where the state of a gene network is represented as a probability distribution, while state transitions are considered to be probabilistic. An algorithm is proposed to determine a sequence of control actions that drives (without state feedback) the state of a given… (More)

We consider the problem of estimating the focal length of a camera from two views while the focal length is not varied during the motion of the camera. An approach based on Kru-ppaÕs equations is proposed. Specifically, we derive two linear and one quadratic equations to solve the problem. Although the three equations are interdependent in general, each one… (More)

This paper introduces the concepts of Dwell-Time invariance (DT-invariance) and maximal constraint admissible DT-invariant set for discrete-time switching systems under dwell-time switching. Main contributions of this paper include a characterization for DT-invariance; a numerical computation of the maximal CADT-invariant set; an algorithm for the… (More)

In this paper, we present an approach for modeling computational genetic regulatory networks with multi-threshold protein concentration and combinatorial gene-protein interactions. We first present a gene automata model that describes the activities of a single gene, and discuss the construction of a network automaton model that describes the complete… (More)

This paper presents a discrete-event approach to the synthesis of transcription control for a class of (computational) gene networks. Given a set of genes and protein-gene and/or protein-protein interaction patterns, this approach can be used to synthesize a transcription control induced by these interaction patterns, and as a consequence, determine the… (More)

- Guofeng Guan, Lidan Wu, Ali Asgar Bhagat, Zirui Li, Peter C. Y. Chen, Shuzhe Chao +2 others
- Scientific reports
- 2013

The paper reports a new method for three-dimensional observation of the location of focused particle streams along both the depth and width of the channel cross-section in spiral inertial microfluidic systems. The results confirm that particles are focused near the top and bottom walls of the microchannel cross-section, revealing clear insights on the… (More)