Fault diagnosis of HV circuit break has been investigated extensively as an important device in the field of power system. In view of the shortcoming of the traditional neural network, such as the slow convergence rate and the local minimum easy to form, fault diagnosis method of HV circuit breaker is proposed to remedy the defects of traditional neural network based on wavelets neural. This me...

We propose a circuit QED platform and protocol to generate microwave photonic tensor network states deterministically. first show that using cavity as ancilla transmon qubit emitter is good produce matrix product states. The combines large controllable Hilbert space with long coherence time, which we predict translates into high number of entangled photons bond dimension. Going beyond this para...

In this paper, a neural network model reference adaptive system speed observer is designed, which can be used in speed control of linear induction motors (LIMs). Dynamical equations of LIM have been considered accurate. In other words, the end effect and the electrical losses of the motor have been included in the motor equivalent circuit. Then equations of the reference model and adaptive mode...

It has become clear that widespread collaboration in the scientific community, which can increasingly be characterized by geographically distributed and large-scale projects, requires predictable network service [1]. Predictable network service needed by applications such as large file transfers, remote visualization, and remote instrumentation can only be offered on connection-oriented network...

We present how software-defined circuit-switched networking (SDCN) should be realized on an autonomous-distributed controlled optical packet and circuit integrated (OPCI) network. We introduce a basic architecture suited for SDCN on the OPCI network. For OCS network virtualization, we propose to establish multi-wavelength logical paths as a C-plane slice. After creating a C-plane slice, unique ...