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- 2018
- Conditional Random Fields (CRF)
- Convolutional Neural Network (CNN)
- Fine Classification
- Airborne hyperspectral
- green tide
- Elegant End-to-End Fully Convolutional Network (E3FCN)
- deep learning
- remote sensing
- Moderate Resolution Imaging Spectroradiometer (MODIS)
- Optoelectronic Information Science and Engineering
- Ocean University of China
- Wuhan University
- Central South University
- Hubei University
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Technological development of multi-energy complementary system based on solar PVs and MGT
摘要： The complementary micro-energy network system consisting of solar photovoltaic power generation (solar PVs) and micro-gas turbine (MGT), which not only improves the absorption rate and reliability of photovoltaic power, but also has the advantages of low emission, high efficiency, and good fuel adaptability, has become one of the most promising distributed power systems in the field of micro grid. According to the development of current technology and the demand of actual work, this research described the domestic and foreign development of micro-energy network system based on solar PVs and MGT. Moreover, it analyzed the challenges and future development regarding the micro-energy network system in planning and design, energy utilization optimization and dispatching management, and system maintenance, respectively. Furthermore, it predicted the future development of the key technology of the multi-energy complementary system. These results will be beneficial for the progress of this field both in theory and practice.
关键词： solar photovoltaic power generation,micro gas turbine,micro-energy network,multi-energy complementary system,renewable energy
更新于2025-09-23 15:21:21
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Modeling and Simulation of Comprehensive Diode Behavior under Electrostatic Discharge Stresses
摘要： Diodes are effective devices for Electrostatic Discharge (ESD) protection. To accurately predict ESD robustness through circuit simulation of protection architectures in integrated circuits that use diodes, an enhanced model is proposed. This model is constructed with several compact model elements to simulate all physical device behaviors under high current transient ESD conditions, namely voltage overshoot, on-resistance variation, and thermal failure. The proposed model implements a thermal monitor, which can not only correlate current – voltage characteristics with the self-heating effect, but accurately predicts thermal failure under different pulse width conditions. The simulation results of this comprehensive diode model benchmarked against measurements are also reported.
关键词： junction thermal failure,Electrostatic discharge (ESD),thermal network,transmission line pulse (TLP),on-resistance variation,overshoot
更新于2025-09-23 15:21:21
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[IEEE 2018 IEEE International Conference on Computational Electromagnetics (ICCEM) - Chengdu, China (2018.3.26-2018.3.28)] 2018 IEEE International Conference on Computational Electromagnetics (ICCEM) - Noniterative Solution to Electromegnetic Inverse Scattering via Complex-Valued CNN
摘要： This work presents a non-iterative approach to nonlinear electromagnetic inverse scattering by extending the conventional real-valued CNN technique to the complex-valued one. The approach can realize the very high quality image in a real-time way, leading to a very helpful tool of addressing the large-scale inverse scattering problem.
关键词： Deep learning,Convolutional Neural network,Electromagnetic inverse scattering problem
更新于2025-09-23 15:21:21
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[IEEE 2018 IEEE International Conference on Computational Electromagnetics (ICCEM) - Chengdu (2018.3.26-2018.3.28)] 2018 IEEE International Conference on Computational Electromagnetics (ICCEM) - Complex-Valued Deep Convolutional Networks for Nonlinear Electromagnetic Inverse Scattering
摘要： Electromagnetic inverse scattering problem is a typical complex problem while traditional deep convolutional neural network can only be applied to real problem. Motivated by this, this paper presents a new approach for electromagnetic inverse problem with complex convolutional neural network. In this way, several cascaded convolutional neural network modules are introduced to learn a model to realize super-resolution for electromagnetic imaging. The simulation and experimental results show that the proposed method paves a new way addressing real-time practical large-scale electromagnetic inverse scattering problems.
关键词： super-resolution,electromagnetic imaging,convolutional neural network,electromagnetic inverse problem
更新于2025-09-23 15:21:21
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Multi-View Bistatic Synthetic Aperture Radar Target Recognition Based on Multi-Input Deep Convolutional Neural Network
摘要： Bistatic synthetic aperture radar (SAR) can provide additional observables and scattering information of the target from multiple views. In this paper, a new bistatic SAR automatic target recognition (ATR) method based on multi-input deep convolutional neural network is proposed. The geometry of the multi-view bistatic SAR ATR is modeled, and an electromagnetic simulation approach is utilized as an alternative to generate enough bistatic SAR images for network training. Then a deep convolutional neural network with multiple inputs is designed, and the features of the multi-view bistatic SAR images will be effectively learned by the proposed network. Therefore, the proposed method can achieve a superior recognition performance. Experimental results have shown the superiority of the proposed method based on the electromagnetic simulation bistatic SAR data.
关键词： multi-view,deep convolutional neural network,automatic target recognition,Bistatic synthetic aperture radar
更新于2025-09-23 15:21:21
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Alien Wavelengths Over Optical Transport Networks
摘要： To reduce network infrastructure cost, network operators want to integrate interoperable and open transponders, since these transponders allow application of the latest technologies over legacy networks at a competitive price. This process of using third-party transponders in a given network is commonly called “alien wavelength” support. Yet, moving toward interoperability raises several challenges: incompatible physical parameters, vendor lock-in, and proprietary software. Manual set up of alien wavelengths has been demonstrated, but automating this process is essential to enable alien wavelength operation in the field. This paper sheds light on the prevailing literature on the concept of alien wavelengths, taking into account many challenges that accompany the concept on its various levels. We particularly focus on several approaches proposed in the literature: protocol message translation, controller cooperation, and open line systems, including our own proposals, an OpenROADM-based approach and a RSVP-TE-based approach. We analyze these approaches with respect to several criteria: applicability to legacy equipment, added operational cost, and the offered level of interoperability and openness. According to these characteristics, we note that, even though some non-interoperable approaches might be applicable to legacy equipment and easy to maintain, they remain infeasible with advanced alien scenarios (high level of interoperability). Finally, a combination has to be made between at least two of the given approaches in order to get the optimal solution.
关键词： Optical networks,Network interoperability,Alien wavelength
更新于2025-09-23 15:21:21
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Bidirectional SMF and PF-POF transmission of 400 Gbps Nyquist shaped on DP-QPSK systems
摘要： This work experimentally shows a transmission path based on standard single-mode optical fiber and perfluorinated graded-index plastic optical fiber with the connections between distinct optical fibers being made by fiber collimators using free-space optical transmission. The data stream consists of a bidirectional 400 Gbps optical transmission using four wavelength channels with quadrature phase-shift keying modulation format, combined with dual-polarization and Nyquist pulse-shaped. The results obtained seeks to study the use of short-distance cables in plastic optical fiber as a flexible means of interconnection, when inserted between single-mode optical fibers or as a coupling medium between devices with single-mode optical inputs/outputs located in data centers/video headends.
关键词： bidirectional transmission,optical network convergence,free-space optical connection,Perfluorinated polymer optical fibers
更新于2025-09-23 15:21:21
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Weak coherent pulses for single-photon quantum memories
摘要： Attenuated laser pulses are often employed in place for single photons in order to test the efficiency of the elements of a quantum network. In this work we analyse theoretically the dynamics of storage of an attenuated light pulse (where the pulse intensity is at the single photon level) propagating along a transmission line and impinging on the mirror of a high finesse cavity. Storage is realised by the controlled transfer of the photonic excitations into a metastable state of an atom confined inside the cavity and occurs via a Raman transition with a suitably tailored laser pulse, which drives the atom and minimizes reflection at the cavity mirror. We determine the storage efficiency of the weak coherent pulse which is reached by protocols optimized for single-photon storage. We determine the figures of merit and we identify the conditions on an arbitrary pulse for which the storage dynamics approaches the one of a single photon. Our formalism can be extended to arbitrary types of input pulses and to quantum memories composed by spin ensembles, and serves as a basis for identifying the optimal protocols for storage and readout.
关键词： storage efficiency,single-photon,weak coherent pulse,quantum network,quantum memory
更新于2025-09-23 15:21:21
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LTspice Electro-Thermal Model of Joule Heating in High Density Polyethylene Optical Fiber Microducts
摘要： At present, optical fiber microducts are joined together by mechanical type joints. Mechanical joints are bulky, require more space in multiple duct installations, and have poor water sealing capability. Optical fiber microducts are made of high-density polyethylene which is considered best for welding by remelting. Mechanical joints can be replaced with welded joints if the outer surface layer of the optical fiber microduct is remelted within one second and without thermal damage to the inner surface of the optical fiber duct. To fulfill these requirements, an electro-thermal model of Joule heat generation using a copper coil and heat propagation inside different layers of optical fiber microducts was developed and validated. The electro-thermal model is based on electro-thermal analogy that uses the electrical equivalent to thermal parameters. Depending upon the geometric shape and material properties of the high-density polyethylene, low-density polyethylene, and copper coil, the thermal resistance and thermal capacitance values were calculated and connected to the Cauer RC-ladder configuration. The power input to Joule heating coil and thermal convection resistance to surrounding air were also calculated and modelled. The calculated thermal model was then simulated in LTspice, and real measurements with 50 μm K-type thermocouples were conducted to check the validity of the model. Due to the non-linear transient thermal behavior of polyethylene and variations in the convection resistance values, the calculated thermal model was then optimized for best curve fitting. Optimizations were conducted for convection resistance and the power input model only. The calculated thermal parameters of the polyethylene layers were kept intact to preserve the thermal model to physical structure relationship. Simulation of the optimized electro-thermal model and actual measurements showed to be in good agreement.
关键词： thermal capacitance,RC-ladder,electro-thermal model,thermal resistance,Cauer network,high-density polyethylene,Foster network
更新于2025-09-23 15:21:01
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Edge Computing Enabled Unmanned Module Defect Detection and Diagnosis System for Large-scale Photovoltaic Plants
摘要： The network connectivity of sel?sh wireless networks (SeWNs) constituted by sel?sh nodes (SeNs) is investigated. The SeN’s degree of node-sel?shness (DeNS) is used for characterizing the effects of its energy resources and the bene?ts of the incentives provided for enhancing its transmission willingness. Furthermore, the SeNs’ signal to interference plus noise ratios are de?ned in terms of both their DeNSs and their interference factors. We then continue by quantifying the effect of node-sel?shness on the grade of network connectivity and derive both the upper and lower bounds of the critical DeNS. Explicitly, the network is deemed to be connected when the DeNS is below the lower bound and unconnected for a DeNS above the upper bound. This allows us to quantify the asymptotic critical DeNSs for our SeWNs. In addition, we develop an energy-conscious node-sel?shness model for characterizing the relationship between the SeN’s residual energy and its DeNS. Based on this model and on the asymptotic critical DeNS derived, the critical amount of residual energy required for maintaining a speci?c grade of network connectivity is determined, which is veri?ed by our simulation results.
关键词： node-sel?shness,Network connectivity,energy resource,percolation theory,sel?sh wireless network
更新于2025-09-23 15:21:01