Genlong Chen

FPGA Implementation of High-Speed LDPC Decoder with Cross-Layer Scheduling for CV-QKD

Hao Cheng, Weicheng Yu, Yong Chen, Genlong Chen et autres

This paper addresses the high-throughput requirements of information reconciliation in continuous-variable quantum key distribution (CV-QKD) systems by proposing an FPGA-based quasi-cyclic low-density parity-check (QC-LDPC) decoder implementation utilizing cross-layer scheduling. Through a preprocessing approach involving base matrix row reordering and data merging, the …

cn (code pays fourni par la source)

Prior-Guided Augmented Lagrangian Multiplier Algorithm for Image Extrapolation

Hao Liu, Dingke Luo, Jinhao Su, Genlong Chen et autres

cn (code pays fourni par la source)

DR-RQL: A Sustainable Demand Response-Based Learning System for Energy Scheduling and Battery Health Estimation

Kailian Deng, Hongtao Zhang, Zihao Cui, Zhongyi Zha et autres

Given the uncertainty from renewable production, local loads and battery operating states in microgrid, it is vital to develop an efficient energy management scheme to improve system economics and enhance grid reliability. In this paper, we consider a renewable integrated microgrid scenario …

cn, nl (code pays fourni par la source)

High-Speed Privacy Amplification Algorithm Based on Two-Dimensional Cellular Automata in Quantum Key Distribution

Han Hai, Enjian Bai, Genlong Chen, Peng Huang et autres

Privacy amplification is a critical component in quantum key distribution (QKD) to eliminate eavesdropper information and distill unconditionally secure keys. While conventional Toeplitz hash privacy amplification algorithms face challenges in computational complexity and hardware resource demands, existing one-dimensional cellular automata (1D CAs) …

cn (code pays fourni par la source)

An Improved UNet++ Approach in Non-Intrusive Load Monitoring

Jiangliang Jin, Ming Tang, Gui Gu, Xue-Qin Jiang et autres

Non-intrusive load monitoring aims to identify individual appliance operational states and energy consumption from aggregated power signals, serving as a critical technique for enhancing energy management efficiency. To address decomposition requirements in low-frequency power data scenarios, this study develops a deep learning …

cn (code pays fourni par la source)

Efficient FPGA Implementation of Syndrome-Assisted Layered Belief Propagation Decoder for CV-QKD Systems

Yong Chen, Xueqin Jiang, Genlong Chen, Peng Huang et autres

In this paper, we propose a QC-LDPC decoder architecture with low complexity as well as excellent decoding performance in CV-QKD systems, which employs the syndrome-assisted layered belief propagation decoding algorithm. To minimize the complexity of hardware implementation and resource consumption in iterative …

cn (code pays fourni par la source)

FPGA Implementation of QC-LDPC Decoder with Rapid Cyclic Shifter for CV-QKD Systems

Yinghua Xie, Xueqin Jiang, Genlong Chen

In continuous variable quantum key distribution (CV-QKD) systems, low-density parity check (LDPC) decoders have gained widespread adoption due to their robust error correction capabilities and good adaptability to parallel processing hardware designs. We introduce a syndrome-based normalized min-sum algorithm (S-NMSA) and implement …

cn (code pays fourni par la source)

A High-Speed FPGA Implementation of the Multidimensional Reconciliation for Continuous Variables Quantum Key Distribution

Jialu Sun, Hao Cheng, Yong Chen, Genlong Chen et autres

For continuous variable quantum key distribution (CV-QKD) protocol, information reconciliation (IR) is a key step that can significantly affect the performance of CV-QKD. Because of multidimensional reconciliation suitable for low signal-to-noise ratio (SNR) and long transmission distance scenario, a parallel architecture for …

cn (code pays fourni par la source)

Feature Adaptation Predictive Coding for Quantized Block Compressive Sensing of COVID-19 X-Ray Images

Haoran Zheng, Hao Liu, Genlong Chen

cn (code pays fourni par la source)

Authors' Reply

Genlong Chen, Hengliang Zhu, Tao Cui, Zhiming Chen et autres

The authors appreciate the comments by O. Ozgun et al. with respect to our recent paper. The description about the experiment of the characteristic basis finite-element method (CBFEM) approach in the paper may not be clear enough, which may probably lead to …

cn, us (code pays fourni par la source)

ParAFEMCap: A Parallel Adaptive Finite-Element Method for 3-D VLSI Interconnect Capacitance Extraction

Genlong Chen, Hengliang Zhu, Tao Cui, Zhiming Chen et autres

Parasitic extraction is one of the key techniques in very large scale integration design that has been widely used to build the equivalent-circuit model of interconnects. In this paper, a parallel adaptive finite-element method (AFEM) for capacitance extraction of large-scale interconnects (ParAFEMCap) …

cn, us (code pays fourni par la source)