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Anti-Interference High-Speed Modulation Decoder for Quantum Key Distribution 认领 引用 被引量：1
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作者 Hua-Xing Xu Shao-Hua Wang +1 位作者 Chang-Lei Wang Ping Zhang 《Chinese Physics Letters》 SCIE EI CAS CSCD 2025年第1期34-39,共6页
Quantum key distribution is increasingly transitioning toward network applications,necessitating advancements in system performance,including photonic integration for compact designs,enhanced stability against environ... Quantum key distribution is increasingly transitioning toward network applications,necessitating advancements in system performance,including photonic integration for compact designs,enhanced stability against environmental disturbances,higher key rates,and improved efficiency.In this letter,we propose an orthogonal polarization exchange reflector Michelson interferometer model to address quantum channel disturbances caused by environmental factors.Based on this model,we designed a Sagnac reflector-Michelson interferometer decoder and verified its performance through an interference system.The interference fringe visibility exceeded 98%across all four coding phases at 625 MHz.These results indicate that the decoder effectively mitigates environmental interference while supporting high-speed modulation frequencies.In addition,the proposed anti-interference decoder,which does not rely on magneto-optical devices,is well-suited for photonic integration,aligning with the development trajectory for next-generation quantum communication devices. 展开更多
关键词 decoder interferometer polarization
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Pyramid–MixNet: Integrate Attention into Encoder-Decoder Transformer Framework for Automatic Railway Surface Damage Segmentation 认领 引用
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作者 Hui Luo Wenqing Li Wei Zeng 《Computers, Materials & Continua》 SCIE EI 2025年第7期1567-1580,共14页
Rail surface damage is a critical component of high-speed railway infrastructure,directly affecting train operational stability and safety.Existing methods face limitations in accuracy and speed for small-sample,multi... Rail surface damage is a critical component of high-speed railway infrastructure,directly affecting train operational stability and safety.Existing methods face limitations in accuracy and speed for small-sample,multi-category,and multi-scale target segmentation tasks.To address these challenges,this paper proposes Pyramid-MixNet,an intelligent segmentation model for high-speed rail surface damage,leveraging dataset construction and expansion alongside a feature pyramid-based encoder-decoder network with multi-attention mechanisms.The encoding net-work integrates Spatial Reduction Masked Multi-Head Attention(SRMMHA)to enhance global feature extraction while reducing trainable parameters.The decoding network incorporates Mix-Attention(MA),enabling multi-scale structural understanding and cross-scale token group correlation learning.Experimental results demonstrate that the proposed method achieves 62.17%average segmentation accuracy,80.28%Damage Dice Coefficient,and 56.83 FPS,meeting real-time detection requirements.The model’s high accuracy and scene adaptability significantly improve the detection of small-scale and complex multi-scale rail damage,offering practical value for real-time monitoring in high-speed railway maintenance systems. 展开更多
关键词 Pyramid vision transformer encoder–decoder architecture railway damage segmentation masked multi-head attention mix-attention
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Global receptive field transformer decoder method on quantum surface code data and syndrome error correction 认领 引用 被引量：1
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作者 Ao-Qing Li Ce-Wen Tian +2 位作者 Xiao-Xuan Xu Hong-Yang Ma Jun-Qing Liang 《Chinese Physics B》 SCIE EI CAS CSCD 2025年第3期267-276,共10页
Quantum computing has the potential to solve complex problems that are inefficiently handled by classical computation.However,the high sensitivity of qubits to environmental interference and the high error rates in cu... Quantum computing has the potential to solve complex problems that are inefficiently handled by classical computation.However,the high sensitivity of qubits to environmental interference and the high error rates in current quantum devices exceed the error correction thresholds required for effective algorithm execution.Therefore,quantum error correction technology is crucial to achieving reliable quantum computing.In this work,we study a topological surface code with a two-dimensional lattice structure that protects quantum information by introducing redundancy across multiple qubits and using syndrome qubits to detect and correct errors.However,errors can occur not only in data qubits but also in syndrome qubits,and different types of errors may generate the same syndromes,complicating the decoding task and creating a need for more efficient decoding methods.To address this challenge,we used a transformer decoder based on an attention mechanism.By mapping the surface code lattice,the decoder performs a self-attention process on all input syndromes,thereby obtaining a global receptive field.The performance of the decoder was evaluated under a phenomenological error model.Numerical results demonstrate that the decoder achieved a decoding accuracy of 93.8%.Additionally,we obtained decoding thresholds of 5%and 6.05%at maximum code distances of 7 and 9,respectively.These results indicate that the decoder used demonstrates a certain capability in correcting noise errors in surface codes. 展开更多
关键词 quantum error correction surface code transformer decoder
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Immune decoding from a multi-omics perspective:Redefining pancreatic cancer tumor microenvironment 认领 引用
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作者 Enkui Zhang Yinmo Yang 《Chinese Journal of Cancer Research》 SCIE CAS CSCD 2026年第3期311-314,共4页
Pancreatic ductal adenocarcinoma(PDAC)has long been regarded as a prototypical immune-cold tumor because of its dense desmoplastic stroma,limited cytotoxic lymphocyte infiltration,and poor response to immunotherapy.Ho... Pancreatic ductal adenocarcinoma(PDAC)has long been regarded as a prototypical immune-cold tumor because of its dense desmoplastic stroma,limited cytotoxic lymphocyte infiltration,and poor response to immunotherapy.However,this definition is increasingly insufficient.Recent advances in single-cell sequencing,T-cell receptor(TCR)and B-cell receptor(BCR)repertoire profiling,single-cell immune receptor sequencing,three-dimensional(3D)genome technologies,spatial transcriptomics,spatial proteomics,and artificial intelligence(AI)-assisted data integration suggest that immune failure in PDAC is not merely a consequence of reduced immune effector cell abundance(1,2). 展开更多
关键词 transcriptomicsspatial proteomicsand cytotoxic lymphocyte immune decoding multi omics pancreatic ductal adenocarcinoma pdac pancreatic ductal adenocarcinoma artificial i desmoplastic stromalimited
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Study on the aided PC-ASCL decoding algorithm based on optimized parity check codes 认领 引用
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作者 Jianguo YUAN Deyi YANG +1 位作者 Ziliang ZHU Jinneng XIANG 《Optoelectronics Letters》 EI 2026年第2期87-91,共5页
Aiming at the poor performance of the parity check(PC) aided adaptive successive cancellation list(PC-ASCL) decoding algorithm because the PC code in the polar code can only verify odd errors, an optimized parity chec... Aiming at the poor performance of the parity check(PC) aided adaptive successive cancellation list(PC-ASCL) decoding algorithm because the PC code in the polar code can only verify odd errors, an optimized parity check(OPC) code which can verify all odd errors as well as the half even errors is proposed. The OPC code is used to improve the PC-ASCL decoding algorithm, thus an OPC aided ASCL(OPC-ASCL) decoding algorithm is proposed. In the coding stage, the algorithm divides the information sequence into multiple segments, and places an OPC code at the end of each segment to verify the current information sequence, and places a cyclic redundancy check code at the end of the entire information sequence to verify the entire information sequence. In the decoding stage, the algorithm uses the OPC-ASCL decoder to decode. Simulation results show that compared to the PC-ASCL decoding algorithm, the OPC-ASCL decoding algorithm can reduce the complexity and obtain the certain performance gain. 展开更多
关键词 pc ascl decoding pc code adaptive successive cancellation list pc ascl divides information sequence multip parity check polar code optimized parity check coding stage
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A Comparative Study of Optimized-LSTM Models Using Tree-Structured Parzen Estimator for Traffic Flow Forecasting in Intelligent Transportation 认领 引用 被引量：1
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作者 Hamza Murad Khan Anwar Khan +3 位作者 Santos Gracia Villar Luis Alonso DzulLopez Abdulaziz Almaleh Abdullah M.Al-Qahtani 《Computers, Materials & Continua》 SCIE EI 2025年第5期3369-3388,共20页
Traffic forecasting with high precision aids Intelligent Transport Systems(ITS)in formulating and optimizing traffic management strategies.The algorithms used for tuning the hyperparameters of the deep learning models... Traffic forecasting with high precision aids Intelligent Transport Systems(ITS)in formulating and optimizing traffic management strategies.The algorithms used for tuning the hyperparameters of the deep learning models often have accurate results at the expense of high computational complexity.To address this problem,this paper uses the Tree-structured Parzen Estimator(TPE)to tune the hyperparameters of the Long Short-term Memory(LSTM)deep learning framework.The Tree-structured Parzen Estimator(TPE)uses a probabilistic approach with an adaptive searching mechanism by classifying the objective function values into good and bad samples.This ensures fast convergence in tuning the hyperparameter values in the deep learning model for performing prediction while still maintaining a certain degree of accuracy.It also overcomes the problem of converging to local optima and avoids timeconsuming random search and,therefore,avoids high computational complexity in prediction accuracy.The proposed scheme first performs data smoothing and normalization on the input data,which is then fed to the input of the TPE for tuning the hyperparameters.The traffic data is then input to the LSTM model with tuned parameters to perform the traffic prediction.The three optimizers:Adaptive Moment Estimation(Adam),Root Mean Square Propagation(RMSProp),and Stochastic Gradient Descend with Momentum(SGDM)are also evaluated for accuracy prediction and the best optimizer is then chosen for final traffic prediction in TPE-LSTM model.Simulation results verify the effectiveness of the proposed model in terms of accuracy of prediction over the benchmark schemes. 展开更多
关键词 Short-term traffic prediction sequential time series prediction TPE tree-structured parzen estimator LSTM hyperparameter tuning hybrid prediction model
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The Next Chapter of Human‐Like Tactile Perception:Neural Decoding to Embodied Intelligence 认领 引用
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作者 Longwei Li Hao Sun +3 位作者 Jing Wang Zi Hao Guo Xiong Pu Fuchun Sun 《SmartSys》 2026年第2期9-19,共11页
The field of tactile perception is transitioning from phenomenological analysis to integrated application and creation.To develop intelligent and embodied tactile capabilities,it is necessary to move beyond the tradit... The field of tactile perception is transitioning from phenomenological analysis to integrated application and creation.To develop intelligent and embodied tactile capabilities,it is necessary to move beyond the traditional view of touch as a passive input channel and instead understand it as an active closed‐loop computational process.This requires the convergence of multiple disciplines,including materials science,neuroscience,robotics,and computer science,to establish a unified framework centered on active perception,predictive processing,and sensorimotor integration.This framework will guide the co‐design of intelligent devices,brain‐like algorithms,and scalable systems.Such advancements will drive the transformation of human–digital interaction,physical environment manipulation,and interpersonal connectivity,thereby enabling more natural and efficient human–machine collaboration. 展开更多
关键词 cross‐modal algorithms embodied intelligence neural decoding tactile perception tactile sensors
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Non-Invasive Brain-Computer Interfaces:Converging Frontiers in Neural Signal Decoding and Flexible Bioelectronics Integration 认领 引用 被引量：3
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作者 Sheng Wang Xiaobin Song +4 位作者 Xiaopan Song Yang Gu Zhuangzhuang Cong Yi Shen Linwei Yu 《Nano-Micro Letters》 SCIE EI CAS CSCD 2026年第6期399-447,共49页
The development of non-invasive brain-computer interfaces(BCIs)relies on multidisciplinary integration across neuroscience,artificial intelligence,flexible electronics,and systems engineering.Recent advances in deep l... The development of non-invasive brain-computer interfaces(BCIs)relies on multidisciplinary integration across neuroscience,artificial intelligence,flexible electronics,and systems engineering.Recent advances in deep learning have significantly improved the accuracy and robustness of neural signal decoding.Parallel progress in electrode design—particularly through the use of flexible and stretchable materials like nanostructured conductors and novel fabrication strategies—has enhanced wearability and operational stability.Nevertheless,key challenges persist,including individual variability,biocompatibility limitations,and susceptibility to interference in complex environments.Further validation and optimization are needed to address gaps in generalization capability,long-term reliability,and real-world operational robustness.This review systematically examines the representative progress in neural decoding algorithms and flexible bioelectronic platforms over the past decade,highlighting key design principles,material innovations,and integration strategies that are poised to advance non-invasive BCI capabilities.It also discusses the importance of multimodal data fusion,hardware-software co-optimization,and closed-loop control strategies.Furthermore,the review discusses the application potential and associated engineering challenges of this technology in clinical rehabilitation and industrial translation,aiming to provide a reference for advancing non-invasive BCIs toward practical and scalable deployment. 展开更多
关键词 Non-invasive BCIs Deep learning Neural signal decoding Nanowires Flexible bioelectronics
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Design of improved error-rate sliding window decoder for SC-LDPC codes: reliable termination and channel value reuse 认领 引用
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作者 JIA Xishan LI Jining +3 位作者 YAO Yuan WANG Yifan LIU Bo XU Degang 《Optoelectronics Letters》 EI 2025年第4期212-217,共6页
In this paper,an improved error-rate sliding window decoder is proposed for spatially coupled low-density parity-check(SC-LDPC)codes.For the conventional sliding window decoder,the message retention mechanism causes u... In this paper,an improved error-rate sliding window decoder is proposed for spatially coupled low-density parity-check(SC-LDPC)codes.For the conventional sliding window decoder,the message retention mechanism causes unreliable messages along the edges of belief propagation(BP)decoding in the current window to be kept for subsequent window decoding.To improve the reliability of the retained messages during the window transition,a reliable termination method is embedded,where the retained messages undergo more reliable parity checks.Additionally,decoding failure is unavoidable and even causes error propagation when the number of errors exceeds the error-correcting capability of the window.To mitigate this problem,a channel value reuse mechanism is designed,where the received channel values are utilized to reinitialize the window.Furthermore,considering the complexity and performance of decoding,a feasible sliding optimized window decoding(SOWD)scheme is introduced.Finally,simulation results confirm the superior performance of the proposed SOWD scheme in both the waterfall and error floor regions.This work has great potential in the applications of wireless optical communication and fiber optic communication. 展开更多
关键词 reliable termination message retention mechanism reliable termination method sliding window decoderthe error rate sliding window decoder belief propagation bp decoding retained messages
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Low power Viterbi decoder design for low altitude adhoc networks 认领 引用
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作者 FEI Yingying XIAO Chunlu +3 位作者 JING Wenhao MA Tianming WANG Jiahan JIN Jie 《High Technology Letters》 EI CAS 2025年第2期154-163,共10页
With the rapid development of low altitude economic industry,low altitude adhoc network technology has been getting more and more intensive attention.In the adhoc network protocol designed in this paper,the convolutio... With the rapid development of low altitude economic industry,low altitude adhoc network technology has been getting more and more intensive attention.In the adhoc network protocol designed in this paper,the convolutional code used is(3,1,7),and the design of a low power Viterbi decoder adapted to multi-rate variations is proposed.In the traditional Viterbi decoding method,the high complexity of path metric(PM)accumulation and Euclidean distance computation leads to the problems of low efficiency and large storage resources in the decoder.In this paper,an improved add compare select(ACS)algorithm,a generalized formula for branch metric(BM)based on Manhattan distance,and a method to reduce the accumulated PM for different Viterbi decoders are put forward.A simulation environment based on Vivado and Matlab to verify the accuracy and effectiveness of the proposed Viterbi decoder is also established.The experimental results show that the total power consumption is reduced by 15.58%while the decoding accuracy of the Viterbi decoder is guaranteed,which meets the design requirements of a low power Viterbi decoder. 展开更多
关键词 low altitude adhoc network Manhattan distance network protocol Viterbi decoder field programmable gate array(FPGA)
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Multi-Attempt List Decoding of Polar Codes 认领 引用
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作者 Yuan Peihong Chen Zhe +1 位作者 Wu Yongpeng Gao Yue 《China Communications》 SCIE EI CSCD 2026年第4期27-36,共10页
In this work,we propose a multi-attempt successive cancellation list(MA-SCL)decoder for polar codes that achieves identical error-correction performance to standard SCL decoding while reducing average complexity.Unlik... In this work,we propose a multi-attempt successive cancellation list(MA-SCL)decoder for polar codes that achieves identical error-correction performance to standard SCL decoding while reducing average complexity.Unlike CRC-aided SCL,the proposed MA-SCL progressively restarts decoding with increasing list sizes and reuses information from previous attempts.This design eliminates the need for outer CRC codes.The decoder features dynamic searchspace pruning and an early stopping criterion based on path metrics.Simulations show MA-SCL matches SCL performance with lower average complexity,particularly for short polar-like codes with reed-muller(RM)rate profiles and dynamic frozen constraints.Compared to existing adaptive decoders,MA-SCL offers implementation advantages by eliminating the need for stack-/heap management while providing relatively stable latency bounds(1×to|Λ|×SCL latency). 展开更多
关键词 complexity-adaptive decoding list decoding polar coding
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基于自注意力机制说话人编码器与SA-Decoder的语音克隆方法 认领 引用 被引量：1
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作者 焦乐岩 朱欣娟 《计算机与现代化》 2025年第7期69-76,共8页
FreeVC模型在语音克隆技术领域表现出色。但是由于语音序列中包含复杂的语音特征变化和信息,例如音色、风格等,FreeVC模型中的Speaker Encoder模块只使用单一的LSTM网络难以准确地提取和表示说话人信息,这会导致模型处理语音序列的性能... FreeVC模型在语音克隆技术领域表现出色。但是由于语音序列中包含复杂的语音特征变化和信息,例如音色、风格等,FreeVC模型中的Speaker Encoder模块只使用单一的LSTM网络难以准确地提取和表示说话人信息,这会导致模型处理语音序列的性能下降,影响声音转换质量和准确性。并且FreeVC模型使用传统的解码器,其中上采样(反卷积)操作细节丢失,导致重建还原的音频咬字细节会模糊不清,从而产生音频伪影。针对这些问题,本文提出一种基于自注意力机制的说话人编码器与SA-Decoder的语音克隆方法FreeVC-SA。该方法将说话人的梅尔谱作为输入,在LSTM网络上加入自注意力机制有助于模型更好地捕捉长距离依赖关系,更为准确地提取说话人的音色、风格等特征。使用SA-Decoder可以很好地解决局部感受野限制问题,使得重建生成的语音克隆效果更加真实、清晰。实验结果表明,与所有基线模型相比,FreeVC-SA语音克隆的自然度相似性和情感相似性均有明显提升,字错误率和字符错误率均有明显下降。 展开更多
关键词 语音克隆 说话人编码器 SA-Decoder 自注意力机制 FreeVC-SA
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AI-aided early sensing,decoding,and lab-to-field breeding for drought-resilient crops 认领 引用
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作者 Muhammad Ahtasham Mushtaq Xia Tian +2 位作者 Cheng Dai Jiaming Zhang Chaozhi Ma 《Tropical Plants》 CSCD 2026年第1期9-26,共18页
Drought stands as the foremost abiotic constraint on global crop productivity.With climate change increasing the frequency and severity of drought events,a paradigm shift toward faster,more predictive,and mechanistica... Drought stands as the foremost abiotic constraint on global crop productivity.With climate change increasing the frequency and severity of drought events,a paradigm shift toward faster,more predictive,and mechanistically informed breeding is urgently required.This review synthesizes current advances to propose a connected'pixels-to-genes-to-fields'framework,integrating early drought phenotyping,causal gene discovery,AI-assisted laboratory engineering,and field-scale validation.We first examine how multimodal monitoring platforms,from satellites and UAVs to in-field sensors,coupled with advanced AI models,enable early stress detection and predictive risk mapping.We then distill the complex mechanistic pathways of drought response,spanning perception(e.g.,OSCA,MSL),signaling(ROS,CLE-ABA),stomatal regulation,and epigenetic memory,into structured biological priors.These priors,we argue,are crucial for guiding graph-based AI in identifying high-confidence genetic intervention points.At the field scale,we survey strategies where AI integrates genotype,environment,and phenomics data to model genotype-by-environment interactions and optimize trials via digital twins.At the laboratory scale,we summarize the role of AI in accelerating the design-build-test cycle through precision CRISPR design,synthetic expression engineering,and automated phenotyping.Finally,we highlight critical translational challenges,emphasizing the need for standardized data sharing,explainable AI,and responsible governance to bridge these innovations into the development of scalable,drought-resilient crop varieties. 展开更多
关键词 multimodal mo early sensing AI aided early drought phenotypingcausal gene discoveryai assisted lab field breeding phenotyping decoding climate change
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基于Encoder-Decoder结构和时间嵌入的光伏功率预测模型 认领 引用
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作者 利金生 朱炜义 +1 位作者 张彤 辛敏 《桂林电子科技大学学报》 2025年第5期459-465,共7页
针对光伏发电功率间歇性和波动性带来的电网安全运行问题,提出一种基于Encoder-Decoder结构和时间嵌入的短期单步光伏功率预测模型。在Encoder层利用LSTM(long short-term memory)单元提取光伏发电功率的特征,通过引入多头注意力机制来... 针对光伏发电功率间歇性和波动性带来的电网安全运行问题,提出一种基于Encoder-Decoder结构和时间嵌入的短期单步光伏功率预测模型。在Encoder层利用LSTM(long short-term memory)单元提取光伏发电功率的特征,通过引入多头注意力机制来加强对输入序列中重要信息的关注。在Decoder层加入差值嵌入和时间嵌入,结合Encoder层的输出进行单步预测。采用平均插值法、降采样和z-score标准化处理原始数据,在不同气象类型下对多个模型进行对比分析。实验结果表明,在均方误差(MSE)、平均绝对误差(MAE)和均方根误差(RMSE)三种评价指标上,本模型在不同的气象条件下均优于其他2种对比模型;并且在多云天气下,本模型与其他模型相比,MSE、MAE、RMSE分别降低了34.7%、27.5%、16.6%,具有更高的预测精度和较强的鲁棒性。 展开更多
关键词 光伏发电 短期功率预测 编解码 时间嵌入 注意力机制
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Genome-wide association studies in horticultural crops:decoding genetic diversity for precision breeding 认领 引用
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作者 Dandan Lou Yuyao Zhang +5 位作者 Pengchuan Wu Hui Xiao Fei Guo Xingtan Zhang Pu Wang Weilong Kong 《Horticulture Research》 SCIE CSCD 2026年第6期135-148,共14页
Horticultural crops,including fruits,vegetables,ornamental plants,and tea plants,are vital for economic and nutritional sustainability,yet their cultivation is severely hampered by abiotic stresses such as heat,cold,a... Horticultural crops,including fruits,vegetables,ornamental plants,and tea plants,are vital for economic and nutritional sustainability,yet their cultivation is severely hampered by abiotic stresses such as heat,cold,and salinity.The advent of the grapevine genome in 2oo7 initiated the genomic era for horticultural species.This milestone facilitated the use of genomewide association studies(GWAs)to decode the complex phenotypic diversity of these crops.Unlike traditional methods,GWAS utilizes natural genetic diversity to identify quantitative trait loci linked to key traits,offering a high-resolution approach for dissecting traits such as stress resistance,quality,and yield.This review highlights the innovative workflows and technical advancements in GWAS applications for horticultural crops,covering aspects including population design,high-throughput phenotyping,sophisticated statistical modeling,and their applications in horticultural plants.Notably,the integration of multi-omics approaches has enhanced our understanding of the genetic mechanisms underlying critical horticultural traits.Future directions aim at harnessing technological innovations,cross-omics synthesis,and precision breeding strategies to optimize trait selection and expedite the development of resilient cultivars.Consequently,GWAS serves as a crucial bridge linking genomic variation to practical applications in horticultural improvement,enabling a paradigm shift toward predictive breeding and sustainable agricultural practices. 展开更多
关键词 traditional methodsgwas genomic era horticultural speciesthis decode complex phenotypic diversity genomewide association studies gwas horticultural cropsincluding genome wide association studies natural genetic d
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基于DCNv2和Transformer Decoder的隧道衬砌裂缝高效检测模型研究 认领 引用 被引量：10
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作者 孙己龙 刘勇 +4 位作者 周黎伟 路鑫 侯小龙 王亚琼 王志丰 《图学学报》 CSCD 北大核心 2024年第5期1050-1061,共12页
为解决因衬砌裂缝性状随机、分布密集、标注框分辨率低所导致的现有模型识别精度低、检测速度慢及参数量庞大等问题,以第2版可变形卷积网络(DCNv2)和端到端变换器解码器(Transformer Decoder)为基础对YOLOv8网络框架进行改进,提出了面... 为解决因衬砌裂缝性状随机、分布密集、标注框分辨率低所导致的现有模型识别精度低、检测速度慢及参数量庞大等问题,以第2版可变形卷积网络(DCNv2)和端到端变换器解码器(Transformer Decoder)为基础对YOLOv8网络框架进行改进,提出了面向衬砌裂缝的检测模型DTD-YOLOv8。首先,通过引入DCNv2对YOLOv8主干卷积网络C2f进行融合以实现模型对裂缝形变特征的准确快速感知,同时采用Transformer Decoder对YOLOv8检测头进行替换以实现端到端框架内完整目标检测流程,从而消除因Anchor-free处理模式所带来的计算消耗。采用自建裂缝数据集对SSD,Faster-RCNN,RT-DETR,YOLOv3,YOLOv5,YOLOv8和DTD-YOLOv8的7种检测模型进行对比验证。结果表明:改进模型F1分数和mAP@50值分别为87.05%和89.58%;其中F1分数相较其他6种模型分别提高了14.16%,7.68%,1.55%,41.36%,8.20%和7.40%;mAP@50分别提高了28.84%,15.47%,1.33%,47.65%,10.14%和10.84%。改进模型参数量仅为RT-DETR的三分之一,检测单张图片的速度为16.01 ms,FPS为65.46帧每秒,对比其他模型检测速度得到提升。该模型在面向运营隧道裂缝检测任务需求时能够表现出高效的性能。 展开更多
关键词 隧道工程 目标检测 第2版可变形卷积网络 Transformer Decoder 衬砌裂缝
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Real-Time Implementation for Reduced-Complexity LDPC Decoder in Satellite Communication 认领 引用 被引量：4
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作者 WANG Yongqing LIU Donglei +1 位作者 SUN Lida WU Siliang 《China Communications》 SCIE CSCD 2014年第12期94-104,共11页
In this paper,it has proposed a realtime implementation of low-density paritycheck(LDPC)decoder with less complexity used for satellite communication on FPGA platform.By adopting a(2048.4096)irregular quasi-cyclic(QC)... In this paper,it has proposed a realtime implementation of low-density paritycheck(LDPC)decoder with less complexity used for satellite communication on FPGA platform.By adopting a(2048.4096)irregular quasi-cyclic(QC)LDPC code,the proposed partly parallel decoding structure balances the complexity between the check node unit(CNU)and the variable node unit(VNU)based on min-sum(MS)algorithm,thereby achieving less Slice resources and superior clock performance.Moreover,as a lookup table(LUT)is utilized in this paper to search the node message stored in timeshare memory unit,it is simple to reuse and save large amount of storage resources.The implementation results on Xilinx FPGA chip illustrate that,compared with conventional structure,the proposed scheme can achieve at last 28.6%and 8%cost reduction in RAM and Slice respectively.The clock frequency is also increased to 280 MHz without decoding performance deterioration and convergence speed reduction. 展开更多
关键词 quasi—cyclic code LDPC decoder m in-sum algorithm partial parallel structure lookup table
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Determination of quantum toric error correction code threshold using convolutional neural network decoders 认领 引用 被引量：3
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作者 Hao-Wen Wang Yun-Jia Xue +2 位作者 Yu-Lin Ma Nan Hua Hong-Yang Ma 《Chinese Physics B》 SCIE EI CAS CSCD 2022年第1期136-142,共7页
Quantum error correction technology is an important solution to solve the noise interference generated during the operation of quantum computers.In order to find the best syndrome of the stabilizer code in quantum err... Quantum error correction technology is an important solution to solve the noise interference generated during the operation of quantum computers.In order to find the best syndrome of the stabilizer code in quantum error correction,we need to find a fast and close to the optimal threshold decoder.In this work,we build a convolutional neural network(CNN)decoder to correct errors in the toric code based on the system research of machine learning.We analyze and optimize various conditions that affect CNN,and use the RestNet network architecture to reduce the running time.It is shortened by 30%-40%,and we finally design an optimized algorithm for CNN decoder.In this way,the threshold accuracy of the neural network decoder is made to reach 10.8%,which is closer to the optimal threshold of about 11%.The previous threshold of 8.9%-10.3%has been slightly improved,and there is no need to verify the basic noise. 展开更多
关键词 quantum error correction toric code convolutional neural network(CNN)decoder
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Image restoration of finger-vein networks based on encoder-decoder model 认领 引用 被引量：1
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作者 GUO Xiao-jing LI Dan +1 位作者 ZHANG Hai-gang YANG Jin-feng 《Optoelectronics Letters》 EI 2019年第6期463-467,共5页
Finger-vein recognition is widely applied on access control system due to the high user acceptance and convince. Improving the integrity of finger-vein is helpful for increasing the finger-vein recognition accuracy. D... Finger-vein recognition is widely applied on access control system due to the high user acceptance and convince. Improving the integrity of finger-vein is helpful for increasing the finger-vein recognition accuracy. During the process of finger-vein imaging, foreign objects may be attached on fingers, which directly affects the integrity of finger-vein images. In order to effectively extract finger-vein networks, the integrity of venous networks is still not ideal after preprocessing of finger vein images. In this paper, we propose a novel deep learning based image restoration method to improve the integrity of finger-vein networks. First, a region detecting method based on adaptive threshold is presented to locate the incomplete region. Next, an encoder-decoder model is used to restore the venous networks of the finger-vein images. Then we analyze the restoration results using several different methods. Experimental results show that the proposed method is effective to restore the venous networks of the finger-vein images. 展开更多
关键词 decoder networks incomplete
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Area optimization of parallel Chien search architecture for Reed-Solomon(255,239) decoder 认领 引用 被引量：2
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作者 胡庆生 王志功 +1 位作者 张军 肖洁 《Journal of Southeast University(English Edition)》 EI CAS 2006年第1期5-10,共6页
A global optimization algorithm （GOA） for parallel Chien search circuit in Reed-Solomon （RS） （255,239） decoder is presented. By finding out the common modulo 2 additions within groups of Galois field （GF） mult... A global optimization algorithm （GOA） for parallel Chien search circuit in Reed-Solomon （RS） （255,239） decoder is presented. By finding out the common modulo 2 additions within groups of Galois field （GF） multipliers and pre-computing the common items, the GOA can reduce the number of XOR gates efficiently and thus reduce the circuit area. Different from other local optimization algorithms, the GOA is a global one. When there are more than one maximum matches at a time, the best match choice in the GOA has the least impact on the final result by only choosing the pair with the smallest relational value instead of choosing a pair randomly. The results show that the area of parallel Chien search circuits can be reduced by 51% compared to the direct implementation when the group-based GOA is used for GF multipliers and by 26% if applying the GOA to GF multipliers separately. This optimization scheme can be widely used in general parallel architecture in which many GF multipliers are involved. 展开更多
关键词 RS decoder Chien search circuit area optimization Galois field multiplier
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