Convolutional neural networks(CNNs)require a lot of multiplication and addition operations completed by traditional electrical multipliers,leading to high power consumption and limited speed.Here,a silicon waveguide-b...Convolutional neural networks(CNNs)require a lot of multiplication and addition operations completed by traditional electrical multipliers,leading to high power consumption and limited speed.Here,a silicon waveguide-based wavelength division multiplexing(WDM)architecture for CNN is optimized with high energy efficiency Fano resonator.Coupling of T-waveguide and micro-ring resonator generates Fano resonance with small half-width,which can significantly reduce the modulator power consumption.Insulator dataset from state grid is used to test Fano resonance modulator-based CNNs.The results show that accuracy for insulator defect recognition reaches 99.27%with much lower power consumption.Obviously,our optimized photonic integration architecture for CNNs has broad potential for the artificial intelligence hardware platform.展开更多
A compact Fano resonant temperature sensor composed of a micro-ring resonator(MRR)coupled double-T-shaped waveguide is developed.The coupling gap and coefficient of the device are optimized by the finite difference ti...A compact Fano resonant temperature sensor composed of a micro-ring resonator(MRR)coupled double-T-shaped waveguide is developed.The coupling gap and coefficient of the device are optimized by the finite difference time domain(FDTD)method.The maximum slope ratio(SR)of the MRR-coupled single-T-shaped waveguide is-2.13 d B/nm.The SR of the double-T-shaped waveguide is-49.69 d B/nm which is 23 times that of the single-T-shaped waveguide.The simulation results show that the temperature sensitivity of optical intensity decreases with increasing temperature in the range from 303.6 K to 343.8 K.The wavelength-temperature sensitivity of the double-T-shaped waveguide microring is 76.5 pm/K.After introducing the double-T-shaped waveguide structure,the device’s performance is greatly improved,and the double-T-shaped waveguide has a good application prospect as a temperature sensor.展开更多
To address the driving power and density of wavelength-division-multiplexing(WDM)computing architectures,a Fano resonator based on a photonic crystal nanobeam is proposed.The Fano resonator comprises a T-shaped wavegu...To address the driving power and density of wavelength-division-multiplexing(WDM)computing architectures,a Fano resonator based on a photonic crystal nanobeam is proposed.The Fano resonator comprises a T-shaped waveguide,introducing an additional phase shift in the continuous propagation mode,and a photonic crystal nanobeam with a discrete mode.The device has one resonance peak within wavelength ranging from 1500 nm to 1600 nm,with a maximum extinction ratio of 8.7 dB and a transmission spectrum slope of up to 11.30 dB/nm.The device has good reusability,extinction ratio,and spectral resolution.It is expected to provide essential photonic components for low-energy consumption and high-density photonic computing to meet the requirements of future convolutional neural network(CNN)acceleration computing.展开更多
The power communication network can be abstracted as a graph based on its topology. In this paper, we propose an approach to conduct simulations of power communication network based on its graph representation. In par...The power communication network can be abstracted as a graph based on its topology. In this paper, we propose an approach to conduct simulations of power communication network based on its graph representation. In particular, the nodes and edges in the graph refer to the ports and channels in the grid topology. Different applications on the grid can be transformed into queries over the graph. Hence, in this paper, we build our grid simulation model based on the Neo4 j graph database. We also propose a fault extension algorithm based on predicate calculus. Our experiment evaluations show that the proposed approach can effectively improve the efficiency of the power grid.展开更多
基金supported by the Science and Technology Project of the State Grid Zhejiang Electric Power Company Limited(No.B311XT21004G)。
文摘Convolutional neural networks(CNNs)require a lot of multiplication and addition operations completed by traditional electrical multipliers,leading to high power consumption and limited speed.Here,a silicon waveguide-based wavelength division multiplexing(WDM)architecture for CNN is optimized with high energy efficiency Fano resonator.Coupling of T-waveguide and micro-ring resonator generates Fano resonance with small half-width,which can significantly reduce the modulator power consumption.Insulator dataset from state grid is used to test Fano resonance modulator-based CNNs.The results show that accuracy for insulator defect recognition reaches 99.27%with much lower power consumption.Obviously,our optimized photonic integration architecture for CNNs has broad potential for the artificial intelligence hardware platform.
基金supported by the National Natural Science Foundation of China(No.62205029)the State Grid Zhejiang Electric Power Corporation Information&Telecommunication Branch(No.B311XT21004G).
文摘A compact Fano resonant temperature sensor composed of a micro-ring resonator(MRR)coupled double-T-shaped waveguide is developed.The coupling gap and coefficient of the device are optimized by the finite difference time domain(FDTD)method.The maximum slope ratio(SR)of the MRR-coupled single-T-shaped waveguide is-2.13 d B/nm.The SR of the double-T-shaped waveguide is-49.69 d B/nm which is 23 times that of the single-T-shaped waveguide.The simulation results show that the temperature sensitivity of optical intensity decreases with increasing temperature in the range from 303.6 K to 343.8 K.The wavelength-temperature sensitivity of the double-T-shaped waveguide microring is 76.5 pm/K.After introducing the double-T-shaped waveguide structure,the device’s performance is greatly improved,and the double-T-shaped waveguide has a good application prospect as a temperature sensor.
基金supported by the Science and Technology Project of the State Grid Zhejiang Electric Power Company Limited(No.B311XT21004G).
文摘To address the driving power and density of wavelength-division-multiplexing(WDM)computing architectures,a Fano resonator based on a photonic crystal nanobeam is proposed.The Fano resonator comprises a T-shaped waveguide,introducing an additional phase shift in the continuous propagation mode,and a photonic crystal nanobeam with a discrete mode.The device has one resonance peak within wavelength ranging from 1500 nm to 1600 nm,with a maximum extinction ratio of 8.7 dB and a transmission spectrum slope of up to 11.30 dB/nm.The device has good reusability,extinction ratio,and spectral resolution.It is expected to provide essential photonic components for low-energy consumption and high-density photonic computing to meet the requirements of future convolutional neural network(CNN)acceleration computing.
基金supported by the Science and Technology Project of State Grid Corporation of China(Grant No.5211XT17001N)
文摘The power communication network can be abstracted as a graph based on its topology. In this paper, we propose an approach to conduct simulations of power communication network based on its graph representation. In particular, the nodes and edges in the graph refer to the ports and channels in the grid topology. Different applications on the grid can be transformed into queries over the graph. Hence, in this paper, we build our grid simulation model based on the Neo4 j graph database. We also propose a fault extension algorithm based on predicate calculus. Our experiment evaluations show that the proposed approach can effectively improve the efficiency of the power grid.
