直流±250 kV海底电缆J型管段载流量提升研究北大核心CSCD

J型管作为新型电力系统中新能源海上风电送出系统海底电缆的保护装置,其存在会阻碍海缆对外散热,制约整条风电送出线路的载流量。为了提高J型管段海缆载流量,文中建立了典型J型管段流体—温度耦合数值模型,仿真分析了环境风速、太阳辐射、环境温度对直流±250 kV海底电缆封闭J型管系统温度场的影响规律,确定J型管载流量瓶颈位置,提出了一种J型管外壁开孔配合平台开孔引入外界风的J型管载流量提升方法,验证了仿真模型与算法的正确性。结果表明与全封闭J型管系统相比,J型管外壁开孔配合平台开孔能有效降低海缆温度,环境风速较低为1 m/s时载流量可有效提升13.98%。研究结果为指导J型管设计提升J型管段海缆载流量提供了新的解决方案。     

Goaling recognition based on intelligent analysis of real-time basketball image of Internet of Things

The Journal of Supercomputing - This research aims to study the goaling recognition methods based on the intelligent analysis of real-time basketball images of the Internet of Things, so as to...     

Biosynthesis of γ ‐Fe2 O3 @CuO core–shell nanoclusters using aqueous extract of Sesbania grandiflora Linn fresh leaves,its characterisation,and antimicrobial activity studies against Staphylococcus aureus strains

The present study reports an eco‐friendly and rapid method for the synthesis of core–shell nanoclusters using the modified reverse micelle method. It is a green synthetic method which uses Sesbania grandiflora Linn extract which acts as a reducing and capping agent. It is observed that this method is very fast and convenient and the nanoclusters are formed with 5–10 min of the reaction time without using harsh conditions. The core–shell nanoclusters so prepared were characterised using UV–Vis spectroscopy, scanning electron microscopy, transmission electron microscopy, X‐ray diffraction, and X‐ray photoelectron spectroscopy. Further, their effective antibacterial activity towards the gram‐positive bacteria Staphylococcus aureus was found to be due to their smaller particle size.Inspec keywords: iron compounds, copper compounds, nanoparticles, particle size, nanofabrication, nanomedicine, biomedical materials, core‐shell nanostructures, antibacterial activity, ultraviolet spectra, visible spectra, microorganisms, reduction (chemical), scanning electron microscopy, transmission electron microscopy, X‐ray diffraction, X‐ray photoelectron spectraOther keywords: biosynthesis, γ‐Fe₂ O₃ ‐CuO core‐shell nanoclusters, aqueous extract, Sesbania grandiflora Linn fresh leaves, antimicrobial activity, Staphylococcus aureus strains, eco‐friendly method, modified reverse micelle method, green synthetic method, reducing agent, capping agent, UV‐visible spectroscopy, scanning electron microscopy, transmission electron microscopy, X‐ray diffraction, X‐ray photoelectron spectroscopy, antibacterial activity, gram‐positive bacteria Staphylococcus aureus, particle size, time 5 min to 10 min, Fe₂ O₃ ‐CuO     

Adaptive thresholding algorithm: Efficient computation technique based on intelligent block detection for degraded document images

Document image binarization involves converting gray level images into binary images, which is a feature that has significantly impacted many portable devices in recent years, including PDAs and mobile camera phones. Given the limited memory space and the computational power of portable devices, reducing the computational complexity of an embedded system is of priority concern. This work presents an efficient document image binarization algorithm with low computational complexity and high performance. Integrating the advantages of global and local methods allows the proposed algorithm to divide the document image into several regions. A threshold surface is then constructed based on the diversity and the intensity of each region to derive the binary image. Experimental results demonstrate the effectiveness of the proposed method in providing a promising binarization outcome and low computational cost.     

基于多统计模型和人耳听觉特性的麦克风阵列后滤波语音增强算法

针对麦克风阵列后滤波语音增强算法的不足, 结合人耳的听觉掩蔽效应, 提出了改进的后滤波语音增强算法. 提出了最大化目标语音存在概率来确定信号子空间维度的方法, 在噪声子空间上, 利用条件概率估计出噪声功率谱. 基于人耳的听觉掩蔽效应, 提出了后滤波器的一种合理的设计方法. 实验证明, 所提的噪声估计方法比传统方法更加准确, 所提的后滤波算法比传统的后滤波算法更好, 在多项语音评价指标上, 都取得了更好的实验效果.     

基于FPGA的1553B通信模块的设计

提出一种将FPGA与PowerPC芯片结合,实现MIL-STD-1553B通信模块的技术方案。详细讨论了该系统的结构、1553B总线协议在FPGA上的实现以及系统的软件结构等关键技术。该系统方案与采用专用的协议芯片实现1553总线接口的方法相比,具有更灵活、成本更低、可移植性好等特点。     

基于计算听觉场景分析和语者模型信息的语音识别鲁棒前端研究

传统抗噪算法无法解决人声背景下语音识别(Automatic speech recognition, ASR)系统的鲁棒性问题. 本文提出了一种基于计算听觉场景分析(Computational auditory scene analysis, CASA)和语者模型信息的混合语音分离系统. 该系统在CASA框架下, 利用语者模型信息和因子最大矢量量化(Factorial-max vector quantization, MAXVQ)方法进行实值掩码估计, 实现了两语者混合语音中有效地分离出目标说话人语音的目标, 从而为ASR系统提供了鲁棒的识别前端. 在语音分离挑战(Speech separation challenge, SSC)数据集上的评估表明, 相比基线系统, 本文所提出的系统的语音识别正确率提高了15.68%. 相关的实验结果也验证了本文提出的多语者识别和实值掩码估计的有效性.     

On-line SPC with consideration of learning curve

This work identifies a link between on-line statistical process control (SPC) and the learning effect for the process standard deviation (PSD) caused by the quality improvement (QI) program. The learning curve (LC) is used to describe and forecast, and the exponentially weighted root mean square control chart is used to monitor the progress in reducing PSD. A modification of the quality control chart (QCC) that considers LC of PSD is proposed. The reduction rate of PSD may be large during the initial stage of the QI program, and influences QCC construction. Simulation is used to compare the shift-detecting ability of the Shewhart- control chart and EWMA- control chart, without- and with- consideration of LC. The EWMA- chart with consideration of LC performs best. In comparison, the Shewhart- chart without LC consideration has almost no shift-detecting ability when the shift magnitude of the process mean is small, leading to rendering quality control ineffective.