Based on QoS (quality of service) parameters: time delay, jitter, bandwidth and package loss. As time delay in the Internet is variable, it is hard to compensate it by traditional methods. Event synchronization commun...Based on QoS (quality of service) parameters: time delay, jitter, bandwidth and package loss. As time delay in the Internet is variable, it is hard to compensate it by traditional methods. Event synchronization communication driven method is proposed to overcome the negative effects induced by time delay. This method is a non-time based method and it can get rid of the effects of time in the control loop of telerobotics. Stability, transparency and synchronization can be maintained in it by event-driven method. Multimodal enhanced telerobotics is put forward with its feedback including force, video, audio and temperature etc. The use of multimodal feedback improves the efficiency and safety of the whole system. Synchronization in multimodal feedback is hard to ensure and event-driven method is also good for it. Experiments on an Internet-based shaft-hole assemblage system show good results by using event synchronization communication driven method and UDP protocol.展开更多
In the analysis of power electronics system,it is necessary to simulate ordinary differential equations(ODEs)with discontinuities and stiffness.However,there are many difficulties in using traditional discrete-time al...In the analysis of power electronics system,it is necessary to simulate ordinary differential equations(ODEs)with discontinuities and stiffness.However,there are many difficulties in using traditional discrete-time algorithms to solve such equations.Kofman and others presented the quantized state systems(QSS)algorithm in the discrete event system specification(DEVS)formalism.The discretization is applied to the state variables instead of time range in QSS.QSS is efficient to solve ODEs,but it is difficulty to be used when simulating actual power electronics systems with controller’s and other events.Based on the idea of this numerical algorithm and discrete event,a Discrete State Event Driven(DSED)simulation method is presented in this paper,which is fit for simulation of power electronics system.The method is developed to deal with non-linearity,stiffness and multi-time scale of power electronics systems.The DSED simulation method includes event definition,module seperation and modeling,event-driven mechanisms,numerical computation based on QSS,and some other operations.Simulation results verified the effectiveness and validity of the proposed method.展开更多
During the last few years, attention in the manufacturing cycle has shifted towards concurrent engineering (CE). With this, the integration of the different product life cycle processes has become a focus in both rese...During the last few years, attention in the manufacturing cycle has shifted towards concurrent engineering (CE). With this, the integration of the different product life cycle processes has become a focus in both research and industry. However, it is obvious that the integration of all manufacturing processes, taking into account all life cycle aspects from initial functional requirements to final disposal, is hardly feasible in the traditional way. In this paper, an agent based model is proposed for the automatic computer aided process planning (CAPP)integration. The autonomy, flexibility, interoperability, modularity and scalability of agent are made use of to cooperate the whole process planning and achieve the full share of resource and information. Thus,the unnecessary waste on human, time and work quantity is reduced. On the basis of the model, an agent based automatic process implementation system of CAPP is developed for demonstration in purpose.展开更多
A new model of event and message driven Petri network(EMDPN) based on the characteristic of class interaction for messages passing between two objects was extended. Using EMDPN interaction graph, a class hierarchical ...A new model of event and message driven Petri network(EMDPN) based on the characteristic of class interaction for messages passing between two objects was extended. Using EMDPN interaction graph, a class hierarchical test-case generation algorithm with cooperated paths (copaths) was proposed, which can be used to solve the problems resulting from the class inheritance mechanism encountered in object-oriented software testing such as oracle, message transfer errors, and unreachable statement. Finally, the testing sufficiency was analyzed with the ordered sequence testing criterion(OSC). The results indicate that the test cases stemmed from newly proposed automatic algorithm of copaths generation satisfies synchronization message sequences testing criteria, therefore the proposed new algorithm of copaths generation has a good coverage rate.展开更多
Tactile perception in artificial systems remains constrained by the von Neumann architecture,where the separation ofmemory and computation leads to significant latency and energy inefficiency.Neuromorphic engineering ...Tactile perception in artificial systems remains constrained by the von Neumann architecture,where the separation ofmemory and computation leads to significant latency and energy inefficiency.Neuromorphic engineering provides abiologically inspired alternative by adopting event-driven,spike-based coding,akin to neural signaling in humansomatosensory systems.This review systematically examines spike-based neural coding techniques for tactileperception,focusing on three key aspects:encoding strategies,neuromorphic hardware implementations,anddecoding methodologies.It compares rate coding and temporal coding in terms of biological plausibility andcomputational efficiency,particularly in dynamic and high-speed tactile tasks.A range of hardware platforms isevaluated,including oscillator-based encoding circuits,CMOS and memristor-based spiking neurons,and self-poweredtactile sensors using triboelectric nanogenerators.On the decoding side,mechanisms such as spike-timing-dependentplasticity and spiking neural networks are analyzed for their potential to support adaptive,online learning in tactilesystems.The review emphasizes co-design approaches that integrate sensing,encoding,and processing within aunified framework to achieve system-level efficiency.By bridging advances in functional materials,low-powerhardware,and brain-inspired computation,this work outlines a roadmap toward artificial tactile systems withmillisecond-level latency,sub-milliwatt power consumption,and high perceptual fidelity.These capabilities areessential for future applications in robotics,prosthetics,and wearable electronics.展开更多
文摘Based on QoS (quality of service) parameters: time delay, jitter, bandwidth and package loss. As time delay in the Internet is variable, it is hard to compensate it by traditional methods. Event synchronization communication driven method is proposed to overcome the negative effects induced by time delay. This method is a non-time based method and it can get rid of the effects of time in the control loop of telerobotics. Stability, transparency and synchronization can be maintained in it by event-driven method. Multimodal enhanced telerobotics is put forward with its feedback including force, video, audio and temperature etc. The use of multimodal feedback improves the efficiency and safety of the whole system. Synchronization in multimodal feedback is hard to ensure and event-driven method is also good for it. Experiments on an Internet-based shaft-hole assemblage system show good results by using event synchronization communication driven method and UDP protocol.
基金This work was supported by a grant from the National Nature Science Foundation of China(No 51490680,No 51490683)。
文摘In the analysis of power electronics system,it is necessary to simulate ordinary differential equations(ODEs)with discontinuities and stiffness.However,there are many difficulties in using traditional discrete-time algorithms to solve such equations.Kofman and others presented the quantized state systems(QSS)algorithm in the discrete event system specification(DEVS)formalism.The discretization is applied to the state variables instead of time range in QSS.QSS is efficient to solve ODEs,but it is difficulty to be used when simulating actual power electronics systems with controller’s and other events.Based on the idea of this numerical algorithm and discrete event,a Discrete State Event Driven(DSED)simulation method is presented in this paper,which is fit for simulation of power electronics system.The method is developed to deal with non-linearity,stiffness and multi-time scale of power electronics systems.The DSED simulation method includes event definition,module seperation and modeling,event-driven mechanisms,numerical computation based on QSS,and some other operations.Simulation results verified the effectiveness and validity of the proposed method.
文摘During the last few years, attention in the manufacturing cycle has shifted towards concurrent engineering (CE). With this, the integration of the different product life cycle processes has become a focus in both research and industry. However, it is obvious that the integration of all manufacturing processes, taking into account all life cycle aspects from initial functional requirements to final disposal, is hardly feasible in the traditional way. In this paper, an agent based model is proposed for the automatic computer aided process planning (CAPP)integration. The autonomy, flexibility, interoperability, modularity and scalability of agent are made use of to cooperate the whole process planning and achieve the full share of resource and information. Thus,the unnecessary waste on human, time and work quantity is reduced. On the basis of the model, an agent based automatic process implementation system of CAPP is developed for demonstration in purpose.
基金Project(05JT1035) supported by the Science and Technology Plan of Hunan Province
文摘A new model of event and message driven Petri network(EMDPN) based on the characteristic of class interaction for messages passing between two objects was extended. Using EMDPN interaction graph, a class hierarchical test-case generation algorithm with cooperated paths (copaths) was proposed, which can be used to solve the problems resulting from the class inheritance mechanism encountered in object-oriented software testing such as oracle, message transfer errors, and unreachable statement. Finally, the testing sufficiency was analyzed with the ordered sequence testing criterion(OSC). The results indicate that the test cases stemmed from newly proposed automatic algorithm of copaths generation satisfies synchronization message sequences testing criteria, therefore the proposed new algorithm of copaths generation has a good coverage rate.
基金supported by the Stable Support Plan Program of Shenzhen Natural Science Fund[grant number 20231120204356001]the Guangdong Basic and Applied Basic Research Foundation[grant number 2024A1515030156]the funding from Tencent Robotics X.
文摘Tactile perception in artificial systems remains constrained by the von Neumann architecture,where the separation ofmemory and computation leads to significant latency and energy inefficiency.Neuromorphic engineering provides abiologically inspired alternative by adopting event-driven,spike-based coding,akin to neural signaling in humansomatosensory systems.This review systematically examines spike-based neural coding techniques for tactileperception,focusing on three key aspects:encoding strategies,neuromorphic hardware implementations,anddecoding methodologies.It compares rate coding and temporal coding in terms of biological plausibility andcomputational efficiency,particularly in dynamic and high-speed tactile tasks.A range of hardware platforms isevaluated,including oscillator-based encoding circuits,CMOS and memristor-based spiking neurons,and self-poweredtactile sensors using triboelectric nanogenerators.On the decoding side,mechanisms such as spike-timing-dependentplasticity and spiking neural networks are analyzed for their potential to support adaptive,online learning in tactilesystems.The review emphasizes co-design approaches that integrate sensing,encoding,and processing within aunified framework to achieve system-level efficiency.By bridging advances in functional materials,low-powerhardware,and brain-inspired computation,this work outlines a roadmap toward artificial tactile systems withmillisecond-level latency,sub-milliwatt power consumption,and high perceptual fidelity.These capabilities areessential for future applications in robotics,prosthetics,and wearable electronics.
