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Design and Implementation of a High-Speed Multi-Channel Data Acquisition System 被引量:1
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作者 黄默 龙腾 《Journal of Beijing Institute of Technology》 EI CAS 2006年第3期323-326,共4页
A data acquisition system (DAS) to implement high-speed, real-time and multi-channel data acquisition and store is presented. The control of the system is implemented by the combination of complex programable logic ... A data acquisition system (DAS) to implement high-speed, real-time and multi-channel data acquisition and store is presented. The control of the system is implemented by the combination of complex programable logic device (CPLD) and digital signal processing (DSP), the bulk buffer of the system is implemented by the combination of CPLD, DSP, and synchronous dynamic random access memory (SDRAM), and the data transfer is implemented by the combination of DSP, first in first out (FIFO), universal serial bus (USB) and USB hub. The system could not only work independently in single-channel mode, but also implement high-speed real-time multi-channel data acquisition system (MCDAS) by the combination of multiple single-channels. The sampling rate and data storage capacity of each channel could reach up to 100 million sampiing per second and 256 MB respectively. 展开更多
关键词 multi-channel data acquisition system (MCDAS) bulk buffer MULTI-channel
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The Interdisciplinary Research of Big Data and Wireless Channel: A Cluster-Nuclei Based Channel Model 被引量:24
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作者 Jianhua Zhang 《China Communications》 SCIE CSCD 2016年第S2期14-26,共13页
Recently,internet stimulates the explosive progress of knowledge discovery in big volume data resource,to dig the valuable and hidden rules by computing.Simultaneously,the wireless channel measurement data reveals big... Recently,internet stimulates the explosive progress of knowledge discovery in big volume data resource,to dig the valuable and hidden rules by computing.Simultaneously,the wireless channel measurement data reveals big volume feature,considering the massive antennas,huge bandwidth and versatile application scenarios.This article firstly presents a comprehensive survey of channel measurement and modeling research for mobile communication,especially for 5th Generation(5G) and beyond.Considering the big data research progress,then a cluster-nuclei based model is proposed,which takes advantages of both the stochastical model and deterministic model.The novel model has low complexity with the limited number of cluster-nuclei while the cluster-nuclei has the physical mapping to real propagation objects.Combining the channel properties variation principles with antenna size,frequency,mobility and scenario dug from the channel data,the proposed model can be expanded in versatile application to support future mobile research. 展开更多
关键词 channel model big data 5G massive MIMO machine learning CLUSTER
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Robust and Efficient Data Transmission over Noisy Communication Channels Using Stacked and Denoising Autoencoders 被引量:1
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作者 Faisal Nadeem Khan Alan Pak Tao Lau 《China Communications》 SCIE CSCD 2019年第8期82-92,共11页
We study the effects of quantization and additive white Gaussian noise(AWGN) in transmitting latent representations of images over a noisy communication channel. The latent representations are obtained using autoencod... We study the effects of quantization and additive white Gaussian noise(AWGN) in transmitting latent representations of images over a noisy communication channel. The latent representations are obtained using autoencoders(AEs). We analyze image reconstruction and classification performance for different channel noise powers, latent vector sizes, and number of quantization bits used for the latent variables as well as AEs’ parameters. The results show that the digital transmission of latent representations using conventional AEs alone is extremely vulnerable to channel noise and quantization effects. We then propose a combination of basic AE and a denoising autoencoder(DAE) to denoise the corrupted latent vectors at the receiver. This approach demonstrates robustness against channel noise and quantization effects and enables a significant improvement in image reconstruction and classification performance particularly in adverse scenarios with high noise powers and significant quantization effects. 展开更多
关键词 COMMUNICATION channelS data compression DEEP learning autoencoders DENOISING autoencoders
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Sampled-Data Consensus Control of MUSV Systems with Channel Fading and Transmission Delay
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作者 Liyuan Wang Wei Yue Rubo Zhang 《China Communications》 SCIE CSCD 2020年第3期36-45,共10页
This paper studies sampled-data consensus control of a collection of unmanned surface vehicles(USV)operating in network environments with fading channels and time-varying transmission delay.The channel fading is model... This paper studies sampled-data consensus control of a collection of unmanned surface vehicles(USV)operating in network environments with fading channels and time-varying transmission delay.The channel fading is modeled as each independent stochastic process whose probability distribution is known.By considering the effects of channel fading and transmission delay from sampler to the controller,a new MUSV system model is formulated in the framework of network.With the novel established model,stability analysis is given at first,then the sampled-data consensus controller is designed,which also extends to the robust control with wave-induced disturbance.The effectiveness of the presented method is demonstrated by numerical simulation. 展开更多
关键词 CONSENSUS SAMPLED-data unmanned surface VEHICLE FADING channel time DELAY
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Channel Estimation and Data Transmission in Massive MIMO TDD Systems 被引量:1
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作者 Youjie Kang Tianyang Lu 《International Journal of Communications, Network and System Sciences》 2019年第10期170-187,共18页
This paper mainly elaborates the studies of channel estimation and downlink data transmission in Massive MIMO. As there are different types of interference in single-cell and multi-cell systems, this paper establishes... This paper mainly elaborates the studies of channel estimation and downlink data transmission in Massive MIMO. As there are different types of interference in single-cell and multi-cell systems, this paper establishes different models for them separately. In terms of uplink training, for getting channel state information, we introduce LS and MMSE channel estimation algorithms and make a comparison between them. At the same time, the problem of pilot contamination is solved by cell classification and pilot identification. Next, this paper defines mathematical models for downlink data transmission. We use pre-coding methods (including Zero-forcing and Maximal Ratio Combining schemes) and optimize power distribution to improve channel capacity and transmission rate. Furthermore, this paper provides numerical results to show the simulation performance in both single-cell and multi-cell systems and extends to prospects in the future. 展开更多
关键词 channel Estimation PILOT CONTAMINATION DOWNLINK data Transmission Pre-Coding Schemes Power Distribution
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中国数字地震台网数据管理中心Y2K问题的解决方法及getdata_new软件 被引量:1
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作者 邹立晔 郭燕平 张德存 《地震地磁观测与研究》 2000年第5期43-51,共9页
叙述了中国数字地震台网 (CDSN)数据管理中心 (DMC)的计算机 2 0 0 0年问题 (Y2 K)的解决情况 ,着重介绍了为解决 Y2 K问题而编制的 getdata new软件的功能 ,特点 ,结构和工作原理 ,并结合几个典型实例 ,对用法和应用情况进行说明。另... 叙述了中国数字地震台网 (CDSN)数据管理中心 (DMC)的计算机 2 0 0 0年问题 (Y2 K)的解决情况 ,着重介绍了为解决 Y2 K问题而编制的 getdata new软件的功能 ,特点 ,结构和工作原理 ,并结合几个典型实例 ,对用法和应用情况进行说明。另外 ,本文对 getdata new所涉及的部分 ASL的程序也作了简介。 展开更多
关键词 CDSNDMC 数据提取 数据转储 计算机2000年问题
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数据驱动的四辊卷板多道次滚弯成形曲率预测方法
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作者 钟冠华 吕佑龙 左丽玲 《塑性工程学报》 北大核心 2026年第1期86-97,共12页
针对板材滚弯成形工艺存在多影响因素复杂关联以及多道次时序演化规律的特性,导致现有的方法难以实现对板材滚弯成形曲率的快速、准确预测的问题,提出一种数据驱动的方法,用于提高板材滚弯成形曲率的预测性能。首先,基于多道次滚弯成形... 针对板材滚弯成形工艺存在多影响因素复杂关联以及多道次时序演化规律的特性,导致现有的方法难以实现对板材滚弯成形曲率的快速、准确预测的问题,提出一种数据驱动的方法,用于提高板材滚弯成形曲率的预测性能。首先,基于多道次滚弯成形数据,设计多尺度通道注意力机制,学习各影响因素对成形曲率贡献的差异性,以获取自适应加权融合的关键特征;其次,基于时间卷积网络对各道次间的时序关系进行建模,以实现多道次滚弯成形曲率预测。实验结果表明,相较于传统的机器学习模型,所提方法的滚弯成形曲率预测误差较小,平均绝对误差下降至7.4424 mm,平均绝对百分比误差下降至0.5593%,均方根误差下降至13.8689 mm。 展开更多
关键词 四辊卷板 数据驱动 通道注意力机制 时间卷积网络 曲率预测
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融合数据增强和多通道解码的中文多标签文本分类方法
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作者 黄荣达 彭若馨 杨英勃 《网络新媒体技术》 2026年第1期57-65,共9页
中文多标签文本分类是自然语言处理领域的重要任务之一,广泛应用于情感分析、舆情监测、文本标注等多个领域。然而,中文文本的复杂性以及多标签数据集的特殊性(如数据量少、标签不平衡、复合标签等)给分类任务带来诸多挑战。本文提出一... 中文多标签文本分类是自然语言处理领域的重要任务之一,广泛应用于情感分析、舆情监测、文本标注等多个领域。然而,中文文本的复杂性以及多标签数据集的特殊性(如数据量少、标签不平衡、复合标签等)给分类任务带来诸多挑战。本文提出一种基于数据增强和多通道解码的中文多标签文本分类模型,通过大模型增强平衡不同类型的标签数据,同时利用多通道解码改善单通道解码不能充分区分不同维度语义差别的问题。实验结果表明,所提出的方法在多个数据集上平均F1值从69提升至79,为中文多标签文本分类任务提供新的解决方案。 展开更多
关键词 中文数据集 多标签文本分类 数据增强 多通道解码
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融合通道注意力与SDFFT的同质多变量时序预测模型
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作者 王凯欣 杨磊 +3 位作者 赵品杰 江宇函 李康顺 刘启健 《软件导刊》 2026年第1期83-94,共12页
在同质多变量时间序列长期预测任务中,现有模型大多存在着特征提取时未充分利用变量间内在关联信息、对数据的时效性考虑不足、季节性和随机波动信息提取不到位等问题。为此,提出了一种融合多阶段跨时间依赖和拐点信息的同质多变量时间... 在同质多变量时间序列长期预测任务中,现有模型大多存在着特征提取时未充分利用变量间内在关联信息、对数据的时效性考虑不足、季节性和随机波动信息提取不到位等问题。为此,提出了一种融合多阶段跨时间依赖和拐点信息的同质多变量时间序列预测模型(HMTS-TI),设计了RGCA模块,在变量间通道注意力中引入分组排序的策略,将学习到的关联信息转化为注意权重,增强对多变量时间序列变量间相关信息的提取;构建了SDFFT模块,通过子序列分解与快速傅里叶变换,挖掘长期趋势、短期季节模式及随机波动信息,加强跨时间维度依赖特征提取;将拐点数量统计值作为预测调整因子,提取不同时间序列变量中的波动信息,对模型拟合产生正向调节作用。在Traffic、Solar、PeMS04 3个公共同质多变量时间序列数据集上的实验结果表明,相较于对比实验中的最优模型,HMTS-TI在96、192、336和720共4个预测长度上整体均方误差、平均绝对误差分别下降了12.1%和6.8%,决定系数提升了4.1%,具有较高的预测准确率。此外,在具体应用案例中,该模型对广东省内92个观测点的臭氧数据预测长度为336个时间单位任务上的均方误差相比最优对比模型下降了19.0%。 展开更多
关键词 同质多变量时间序列 长期预测 通道注意力 子序列划分 数据分解 快速傅里叶变换
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基于5G通信的车辆运行数据实时传输系统
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作者 韩勇 薛锦东 +1 位作者 庞亚军 石源 《电子设计工程》 2026年第1期181-186,191,共7页
车辆运行数据实时传输中存在时延,为降低时延,在保证数据传输质量的前提下提高传输稳定性,设计基于5G通信的车辆运行数据实时传输系统。通过车载终端和激光雷达等监测设备实时监测和收集车辆运行状态信息及周边环境信息,利用5G通信网络... 车辆运行数据实时传输中存在时延,为降低时延,在保证数据传输质量的前提下提高传输稳定性,设计基于5G通信的车辆运行数据实时传输系统。通过车载终端和激光雷达等监测设备实时监测和收集车辆运行状态信息及周边环境信息,利用5G通信网络层的5G通信模块将经过边缘计算预处理的信息发送给5G基站。基站以探测参考信号为依据,确定各收发节点的时延和多普勒频偏预估值,经校正处理和OFDM信号解调后,采用最小线性均方误差方法和时域维纳插值方法实现时、频域信道估计,再将OFDM符号检测后的车辆运行数据通过核心网安全传输至数据中心,完成异常数据检测和预警分析等处理。实验结果表明,与对比方法相比,该系统的BER指标降低至10-5量级,车辆运行数据流传输稳定性高。 展开更多
关键词 5G通信 车辆运行数据 5G基站 信道估计 多普勒频偏 时域维纳插值
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Static CSI Extraction and Application in the Tomographic Channel Model 被引量:3
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作者 Haihan Li Yunzhou Li +1 位作者 Shidong Zhou Jing Wang 《China Communications》 SCIE CSCD 2019年第12期132-144,共13页
In this paper, the statistical properties of parameters of each path in wireless channel models are analyzed to prove that there is the static part in channel state information(CSI) which can be extracted from huge am... In this paper, the statistical properties of parameters of each path in wireless channel models are analyzed to prove that there is the static part in channel state information(CSI) which can be extracted from huge amounts of CSI data. Based on the analysis, the concept of the Tomographic Channel Model(TCM) is presented. With cluster algorithms, the static CSI database can be built in an off-line manner. The static CSI database can provide prior information to help pilot design to reduce overhead and improve accuracy in channel estimation. A new CSI prediction method and a new channel estimation method between different frequency bands are introduced based on the static CSI database. Using measurement data, the performance of the new channel prediction method is compared with that of the Auto Regression(AR) predictor. The results indicate that the prediction range of the new method is better than that of the AR method and the new method can predict with fewer pilot symbols. Using measurement data, the new channel estimation method between different frequency bands can estimate the CSI of one frequency band based on known CSI of another frequency band without any feedback. 展开更多
关键词 big data tomographic channel model channel prediction channel estimation channel feedback K-means clustering
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面向远海场景的统计信道建模与性能分析
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作者 李瑞彤 林霏 +4 位作者 季翔 孙浩 张颖颖 李军 刘海英 《现代电子技术》 北大核心 2026年第1期15-20,共6页
目前对海洋通信的研究多集中于近海场景的信道建模,且较少考虑真实气象条件,针对远海场景的研究仍需进一步完善。为此,文中基于山东省黄海海域的实测气象数据,构建了利用海上蒸发波导现象的超视距统计信道模型,该模型采用有理数函数模... 目前对海洋通信的研究多集中于近海场景的信道建模,且较少考虑真实气象条件,针对远海场景的研究仍需进一步完善。为此,文中基于山东省黄海海域的实测气象数据,构建了利用海上蒸发波导现象的超视距统计信道模型,该模型采用有理数函数模型对海洋环境中电磁波的传播特性进行描述。同时,为提高模型的准确性,使用非线性最小二乘法对模型系数进行修正和优化。仿真分析表明,该信道模型在周边海域对电磁波传播路径损耗的预测更为精确,冬季和夏季的预测均方根误差均小于表面波导模型和自由空间模型,并在无人机辅助海上通信系统中表现出更为优异的性能。 展开更多
关键词 统计信道模型 海上通信 蒸发波导 实测气象数据 有理函数模型 超视距传输 抛物线方程 路径损耗
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万兆同轴宽带接入网HIMAC 3.0的拆帧重排序方法
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作者 黄一明 潘伟涛 邱智亮 《电子科技》 2026年第1期25-31,共7页
高性能同轴电缆网络(High Performance Network Over Coax,HINOC)技术是一种光纤同轴混合接入技术,已发展至第3代。为了实现万兆以太网的接入速率,第3代HINOC引入了多信道绑定机制。但该机制在有效扩展HINOC网络信道带宽的同时易导致HIM... 高性能同轴电缆网络(High Performance Network Over Coax,HINOC)技术是一种光纤同轴混合接入技术,已发展至第3代。为了实现万兆以太网的接入速率,第3代HINOC引入了多信道绑定机制。但该机制在有效扩展HINOC网络信道带宽的同时易导致HIMAC(HINOC Medium Access Control)拆帧端接收的数据流失序。针对该问题,文中提出了一种拆帧重排序方法。通过重排序队列缓存管理、入队逻辑地址计算、超时判断及清空以及出队判断等关键技术的设计和实现来解决多信道绑定机制引起的拆帧乱序问题,并对其关键功能点进行仿真验证和板级验证。实验结果表明,所提方法能够有效处理多信道绑定导致的乱序问题,并且能够确保系统在遇到错误情况时稳定运行,具有较强的鲁棒性,满足万兆同轴宽带接入HIMAC 3.0的功能和性能要求。 展开更多
关键词 万兆同轴宽带接入 HIMAC 3.0 多信道绑定 数据帧乱序 拆帧 重排序 超时清空 队列缓存
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A New Infrared Atmospheric Sounding Interferometer Channel Selection and Assessment of Its Impact on Met Office NWP Forecasts 被引量:8
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作者 Young-Chan NOH Byung-Ju SOHN. +3 位作者 Yoonjae KIM Sangwon JOO William BELL Roger SAUNDERS 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2017年第11期1265-1281,共17页
A new set of Infrared Atmospheric Sounding Interferometer (IASI) channels was re-selected from 314 EUMETSAT channels. In selecting channels, we calculated the impact of the individually added channel on the improvem... A new set of Infrared Atmospheric Sounding Interferometer (IASI) channels was re-selected from 314 EUMETSAT channels. In selecting channels, we calculated the impact of the individually added channel on the improvement in the analysis outputs from a one-dimensional variational analysis (1D-Var) for the Unified Model (UM) data assimilation system at the Met Office, using the channel score index (CSI) as a figure of merit. Then, 200 channels were selected in order by counting each individual channel's CSI contribution. Compared with the operationally used 183 channels for the UM at the Met Office, the new set shares 149 channels, while the other 51 channels are new. Also examined is the selection from the entropy reduction method with the same 1D-Var approach, Results suggest that channel selection can be made in a more objective fashion using the proposed CSI method. This is because the most important channels can be selected across the whole IASI observation spectrum. In the experimental trial runs using the UM global assimilation system, the new channels had an overall neutral impact in terms of improvement in forecasts, as compared with results from the operational channels. However, upper-tropospheric moist biases shown in the control run with operational channels were significantly reduced in the experimental trial with the newly selected channels. The reduction of moist biases was mainly due to the additional water vapor channels, which are sensitive to the upper-tropospheric water vapor. 展开更多
关键词 Hyperspectral IR sounding channel selection 1D-Vat data assimilation
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Geologic-Geophysical Indicators of the Deep Structure of Zones of Geothermal Anomalies for Allocation of Channels of the Deep Heat and Mass Transfer 被引量:5
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作者 R. A. Umurzakov H. A. Abidov G. Yu. Yuldashev 《Open Journal of Geology》 2017年第9期1452-1463,共12页
On the basis of the analysis of field thermogeochemical data along abnormal zones of a thermal stream in the Bukhara-Khiva, oil-and-gas region of the Turan (Tegermen, Chagakul, Shimoly Alat, Beshtepa) was succeeded to... On the basis of the analysis of field thermogeochemical data along abnormal zones of a thermal stream in the Bukhara-Khiva, oil-and-gas region of the Turan (Tegermen, Chagakul, Shimoly Alat, Beshtepa) was succeeded to obtain important data on a deep structure of sites. Data of gas-chemical and geothermal observations show about confinedness of abnormal concentration of methane to zones of the increased values of the temperature field the measured values of temperatures (Tegermen Square and others). On geoelectric section mines 2-D of inversion of the MT-field depth of 4000 m are lower, among very high-resistance the chemogenic and carbonate deposits of the Paleozoic is traced the subvertical carrying-out abnormal zone. This zone is identified as the channel of a deep heat and mass transfer with which hydrocarbon (HC) deposits are connected. It is shown that electro-investigation when using a geophysical complex can and has to become “advancing” at exploration by oil and gas. 展开更多
关键词 Anomaly of the Thermal Field Thermogeochemical data JUVENILE Gases channel Heat and Mass Transfer DEEP Structure GEOELECTRIC Section Deposits of Oil and Gas
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Establishment of the Secure Channel between Broker Nodes in Pub/Sub System
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作者 ZHU Shuren 《Wuhan University Journal of Natural Sciences》 CAS 2006年第6期1441-1444,共4页
The paper mainly discusses the integrity of the forwarded subscription message guaranteed by secure channel which encrypted in data communication by using data encryption standard (DES) algorithm and chaos code algo... The paper mainly discusses the integrity of the forwarded subscription message guaranteed by secure channel which encrypted in data communication by using data encryption standard (DES) algorithm and chaos code algorithm between broker nodes in the routing process of the contentbased publish/subscribe system. It analyzes the security of the secure channel encrypted with data communication by DES algorithm and chaos code algorithm, and finds out the secure channel can be easily attacked by known plain text. Therefore, the paper proposes the improved algorithm of message encryption and authentication, combining encryption and the generation of the message authentication code together to finish scanning at one time, which enhances both the secure degree and running efficiency. This secure channel system has a certain reference value to the pub/sub system requiring highly communication security. 展开更多
关键词 PUBLISH/SUBSCRIBE routing algorithm subscription message secure channel data encryption standard (DES)
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计及灰数据的知识-数据驱动低压有源配电网潮流计算 被引量:1
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作者 刘斯亮 郑泽南 +2 位作者 张勇军 羿应棋 池玉泉 《电测与仪表》 北大核心 2025年第6期2-10,共9页
低压配电网拓扑和线路参数不准确使得传统的潮流计算方法失效,采用数据驱动方法能减少对物理参数的依赖,但缺乏可解释性。为此,提出一种融合物理知识与数据驱动的潮流计算方法。基于DistFlow模型构造了深度学习模型的输入输出特征向量,... 低压配电网拓扑和线路参数不准确使得传统的潮流计算方法失效,采用数据驱动方法能减少对物理参数的依赖,但缺乏可解释性。为此,提出一种融合物理知识与数据驱动的潮流计算方法。基于DistFlow模型构造了深度学习模型的输入输出特征向量,以低压配电台区的首端节点电压、用户节点光伏出力及负荷功率作为输入特征,用户节点电压幅值作为输出特征。结合三相线性潮流模型设计多通道卷积网络,通过独立通道处理电压、有功功率和无功功率,并利用电阻、电抗参数初始化卷积核权重。最后,针对灰数据(含有量测误差和异常值的数据)用于训练会影响模型性能的问题,提出改进降噪自编码器筛选并剔除异常样本。实验表明,所提方法在准确性和泛化性能上优于传统数据驱动方法,同时显著降低了灰数据对模型的影响。 展开更多
关键词 低压配电网 潮流计算 知识-数据融合 多通道卷积 灰数据
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基于Sentence-MacBERT模型的同源录波数据匹配方法 被引量:1
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作者 戴志辉 张富泽 +1 位作者 韩笑 王冠南 《电力系统保护与控制》 北大核心 2025年第8期159-167,共9页
由于不同时期的录波数据记录标准有所不同,以及各个生产厂家对标准的解读存在偏差,造成同源录波数据的通道名称存在个性化差异,且通道索引号不同,难以进行录波数据的同源匹配。针对上述问题,提出基于句向量掩码纠错双向编码器表征语言模... 由于不同时期的录波数据记录标准有所不同,以及各个生产厂家对标准的解读存在偏差,造成同源录波数据的通道名称存在个性化差异,且通道索引号不同,难以进行录波数据的同源匹配。针对上述问题,提出基于句向量掩码纠错双向编码器表征语言模型(sentence-masked language model as correction bidirectional encoder representations from transformers,Sentence-MacBERT)的同源录波数据匹配方法。首先,分析录波文件的记录格式特点,根据录波文件的格式特点完成核查信息表的构建。然后,通过构建的核查信息表进行录波文件自动校核。最后,在双向编码器表征(bidirectional encoder representations from transformers,BERT)模型的基础上构建Sentence-MacBERT同源通道匹配模型,完成同源录波数据匹配。算例分析表明,根据核查信息表能够完成录波文件的自动校核,并对解析失败的录波文件发出告警信息。利用Sentence-MacBERT模型进行通道名称匹配的效果良好,能够有效地完成录波数据的同源匹配,帮助运行人员进行故障分析。 展开更多
关键词 录波数据 Sentence-MacBERT 自动校核 通道名称 同源匹配
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Study on Mandatory Access Control in a Secure Database Management System
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作者 ZHU Hong, FENG Yu cai School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China 《Journal of Shanghai University(English Edition)》 CAS 2001年第4期299-307,共9页
This paper proposes a security policy model for mandatory access control in class B1 database management system whose level of labeling is tuple. The relation hierarchical data model is extended to multilevel relatio... This paper proposes a security policy model for mandatory access control in class B1 database management system whose level of labeling is tuple. The relation hierarchical data model is extended to multilevel relation hierarchical data model. Based on the multilevel relation hierarchical data model, the concept of upper lower layer relational integrity is presented after we analyze and eliminate the covert channels caused by the database integrity. Two SQL statements are extended to process polyinstantiation in the multilevel secure environment. The system is based on the multilevel relation hierarchical data model and is capable of integratively storing and manipulating multilevel complicated objects ( e.g., multilevel spatial data) and multilevel conventional data ( e.g., integer, real number and character string). 展开更多
关键词 multilevel relation hierarchical data model covert channels mandatory access control POLYINSTANTIATION hierarchical classification non hierarchical category security level multilevel relation hierarchical instance integrity cluster
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基于MFI-MCP-ResNet18的滚动轴承故障诊断 被引量:4
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作者 汤伟 杨亦君 《轴承》 北大核心 2025年第3期70-78,共9页
针对传统滚动轴承故障诊断模型存在的特征提取不充分,故障诊断准确率低的问题,提出了一种基于多特征输入和多通道并行残差卷积网络(MFI-MCP-ResNet18)的滚动轴承故障诊断方法。将轴承振动信号分别转换为相应的格拉姆角场、马尔科夫变迁... 针对传统滚动轴承故障诊断模型存在的特征提取不充分,故障诊断准确率低的问题,提出了一种基于多特征输入和多通道并行残差卷积网络(MFI-MCP-ResNet18)的滚动轴承故障诊断方法。将轴承振动信号分别转换为相应的格拉姆角场、马尔科夫变迁场和欧氏距离矩阵,对这3种矩阵进行逐行交叉组合得到一个二维矩阵并作为神经网络的输入,通过多通道并行的ResNet18网络实现对轴承故障特征的自动提取和分类。借助公开数据集以及自建试验平台数据进行MFI-MCP-ResNet18模型的有效性和泛化性验证,结果表明MFI-MCPResNet18模型能够有效提取轴承振动信号中的故障特征,实现对轴承故障的高效诊断,具有比单输入单通道方法更高的判断精度以及更好的泛化性。 展开更多
关键词 滚动轴承 特征提取 卷积网络 数据转换 欧氏距离 多通道
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