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Improved data analysis method of single-molecule experiments based on probability optimization
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作者 翟伟利 袁国华 +1 位作者 刘超 陈虎 《Chinese Physics B》 SCIE EI CAS CSCD 2018年第1期182-187,共6页
To extract the dynamic parameters from single molecule manipulation experiments, usually lots of data at different forces need to be recorded. But the measuring time of a single molecule is limited due to breakage of ... To extract the dynamic parameters from single molecule manipulation experiments, usually lots of data at different forces need to be recorded. But the measuring time of a single molecule is limited due to breakage of the tether or degradation of the molecule. Here we propose a data analysis method based on probability maximizalion of the recorded time trace to extract the dynamic parameters from a single measurement. The feasibility of this method was verified by dealing with the simulation data of a two-state system. We also applied this method to estimate the parameters of DNA hairpin folding and unfolding dynamics measured by a magnetic tweezers experiment. 展开更多
关键词 probability optimization Bell's model DNA hairpin single molecule manipulation
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Coordinated Controller Tuning of a Boiler Turbine Unit with New Binary Particle Swarm Optimization Algorithm 被引量:1
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作者 Muhammad Ilyas Menhas Ling Wang +1 位作者 Min-Rui Fei Cheng-Xi Ma 《International Journal of Automation and computing》 EI 2011年第2期185-192,共8页
Coordinated controller tuning of the boiler turbine unit is a challenging task due to the nonlinear and coupling characteristics of the system.In this paper,a new variant of binary particle swarm optimization (PSO) ... Coordinated controller tuning of the boiler turbine unit is a challenging task due to the nonlinear and coupling characteristics of the system.In this paper,a new variant of binary particle swarm optimization (PSO) algorithm,called probability based binary PSO (PBPSO),is presented to tune the parameters of a coordinated controller.The simulation results show that PBPSO can effectively optimize the control parameters and achieves better control performance than those based on standard discrete binary PSO,modified binary PSO,and standard continuous PSO. 展开更多
关键词 Coordinated control boiler turbine unit particle swarm optimization (PSO) probability based binary particle swarm optimization (PBPSO) controller tuning.
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Probabilistically implementing nonlocal operations between two distant qutrits
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作者 单永光 聂建军 曾浩生 《Chinese Physics B》 SCIE EI CAS CSCD 2006年第6期1177-1183,共7页
We propose a method to probabilistically implement a nonlocal operation, exp[iζUAUB], between two distant qutrits A and B, where ζ∈ C [0,2π] and UA, UB are local unitary and Hermitian operations for qutrits A and ... We propose a method to probabilistically implement a nonlocal operation, exp[iζUAUB], between two distant qutrits A and B, where ζ∈ C [0,2π] and UA, UB are local unitary and Hermitian operations for qutrits A and B respectively. The consumptions of resource for one performance of the method are a single non-maximally entangled qutrit state and 1-trit classical communication. For a given ζ, the successful probability of the method depends on the forms of both entanglement resource and Bob's partial-measurement basis. We systematically discuss the optimal successful probabilities and their corresponding conditions for three cases: adjustable entanglement resource, adjustable partial-measurement basis, adjustable entanglement resource and partial-measurement basis. It is straightforward to generalize the method for producing nonlocal unitary operations between any two N-level systems. 展开更多
关键词 nonlocal operation QUTRIT optimal successful probability
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