Wavelength-Tunable Monolithically Integrated Chaotic Semiconductor Laser
Chaos wavelength division multiplexing is a key technology to solve incompatibility between chaos secure communication and large capacity fiber data transmission. However, the existing integrated c…
Microwave Photonic Reconfigurable High Precision Instantaneous Frequency Meas…
This paper reports a microwave photonic reconfigurable high precision simple instantaneous frequency measurement system. With the first assistance of stacking ensemble learning method, it can achie…
All-Fiber High-Power 3 GHz Ultrafast Laser System At 2.0 μm
In this work, we report on a high-power all-fiber ultrafast laser system at 2.0 μm that delivers femtosecond pulses with a fundamental repetition rate of 3.0 GHz and a maximum output power of 33.1…
Fine-Grained Image Analysis With Deep Learning: A Survey
Fine-grained image analysis (FGIA) is a longstanding and fundamental problem in computer vision and pattern recognition, and underpins a diverse set of real-world applications. The task of FGIA tar…
A Review on Evolutionary Multitask Optimization: Trends and Challenges
Evolutionary algorithms (EAs) possess strong problem-solving abilities and have been applied in a wide range of applications. However, they still suffer from a high computational burden and poor ge…
Cognitive Stress and Learning Economic Order Quantity Inventory Management : …
We use laboratory experiments to evaluate the effects of cognitive stress on inventory management decisions in a finite horizon economic order quantity (EOQ) model. We manipulate two sources of cog…
Multi-Rate Nyquist-SCM for C-Band 100 Gbit/s Signal Over 50 km Dispersion-Unc…
In this paper, to the best of our knowledge, we propose the first multi-rate Nyquist-subcarriers modulation (SCM) for C-band 100 Gbit/s signal transmission over 50 km dispersion-uncompensated link.…
Towards Generalized Resource Allocation on Evolutionary Multitasking for Mult…
Evolutionary multitasking optimization (EMTO) is an emerging paradigm for solving several problems simultaneously. Due to the flexible framework, EMTO has been naturally applied to multi-objective …
Laser Performance of Active Segment Cladding Fiber Under Heat Load
An amplifier model based on the Yb-doped segment cladding fiber (SCF) is proposed in this paper. Three contributions to heat source are taken into account in the proposed model, including the quant…
Neural Network Based Perturbation-Location Fiber Specklegram Sensing System T…
Deep learning methods such as convolutional neural networks (CNN) have been shown to be highly effective in complex nonlinear modeling or classification in multimode fiber transmission systems with…
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