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
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
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
Mobile Cloud Computing(MCC)becomes an emerging computing paradigm,where Mobile Devices(MDs)are in the place for offloading task to the nearest resource-rich cloud servers.To promote the system’s performance,the MCC i...Mobile Cloud Computing(MCC)becomes an emerging computing paradigm,where Mobile Devices(MDs)are in the place for offloading task to the nearest resource-rich cloud servers.To promote the system’s performance,the MCC is performed.However,it holds with more overhead complexity in storage and energy,which degrades the network efficiency.Hence the scholar concentrates on decreasing the overhead issue by applying the task offloading process.The major issue in this mechanism is having most cost-effective communication among the devices.This research paper suggests a new optimization strategy for performing the offloading task in MCC.The developed hybrid approach offloads the task to the nearby server to enhance the performance of the MCC by finishing the task within the deadline.A new cost function is derived with the adoption of the average delay of tasks,the energy consumption level,battery lifetime,processing capabilities,storage capacity,response time,communication cost,etc for optimizing the task offloading.Thus,a new task offloading is optimized via a newly recommended hybrid optimizer with the adoption of Probability Condition of Satin Bowerbird Forensic Optimization(PCSBFO),which is developed with the combination of Satin Bowerbird Optimization(SBO)and Forensic-Based Investigation(FBI)to achieve optimal solutions.Additionally,the developed PCSBFO considers the multi-objective constraints such as average delay,energy consumption,and offloading expenditure for ensuring the quality of service,and satisfactory level of the end user in the MCC.This suggested lightweight paradigm addresses the difficulties and minimizes the efforts while developing,deploying,and managing to offload using optimization algorithms to help better available frameworks.Further,the creation of APAs is done to enable the mobile applications to extract maximum utility out of the volumes of available resources.The experiment results show that the suggested hybrid optimization-based task…展开更多
基金Project supported by the National Natural Science Foundation of China(Grant Nos.11474237 and 11574310)the 111 Project,China(Grant No.B16029)
文摘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.
基金supported by Projects of Shanghai Science and Technology Community (No. 10ZR1411800,No. 08160705900,No. 08160512100)Shanghai University "the 11th Five-Year Plan"+1 种基金211 Construction ProjectMechatronics Engineering Innovation Group Project from Shanghai Education Commission
文摘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.
基金Project supported by the National Major Fundamental Research Project, China （Grant No 2001CB309310）, the National Natural Science Foundation of China （Grant Nos 10347128, 10325523 and 90203018）, the Natural Science Foundation of Hunan Province （Grant No 04JJ3017）, the Science Foundation for Post Doctorate of China （Grant No 2005037695）, and the Scientific Research Fund of Hunan Provincial Education Bureau.
文摘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.
文摘Mobile Cloud Computing(MCC)becomes an emerging computing paradigm,where Mobile Devices(MDs)are in the place for offloading task to the nearest resource-rich cloud servers.To promote the system’s performance,the MCC is performed.However,it holds with more overhead complexity in storage and energy,which degrades the network efficiency.Hence the scholar concentrates on decreasing the overhead issue by applying the task offloading process.The major issue in this mechanism is having most cost-effective communication among the devices.This research paper suggests a new optimization strategy for performing the offloading task in MCC.The developed hybrid approach offloads the task to the nearby server to enhance the performance of the MCC by finishing the task within the deadline.A new cost function is derived with the adoption of the average delay of tasks,the energy consumption level,battery lifetime,processing capabilities,storage capacity,response time,communication cost,etc for optimizing the task offloading.Thus,a new task offloading is optimized via a newly recommended hybrid optimizer with the adoption of Probability Condition of Satin Bowerbird Forensic Optimization(PCSBFO),which is developed with the combination of Satin Bowerbird Optimization(SBO)and Forensic-Based Investigation(FBI)to achieve optimal solutions.Additionally,the developed PCSBFO considers the multi-objective constraints such as average delay,energy consumption,and offloading expenditure for ensuring the quality of service,and satisfactory level of the end user in the MCC.This suggested lightweight paradigm addresses the difficulties and minimizes the efforts while developing,deploying,and managing to offload using optimization algorithms to help better available frameworks.Further,the creation of APAs is done to enable the mobile applications to extract maximum utility out of the volumes of available resources.The experiment results show that the suggested hybrid optimization-based task…
