A new method for extrapolating the load-displacement response of drilled shaft foundations for interpretation of side capacity

In this study, the side capacity of drilled shaft foundations is estimated from partially-mobilized load–displacement field data using a new method in the extrapolation of load–displacement response. A dataset of 138 bi-directional load tests is used to evaluate the degree of mobilization of unit side resistance. A total of 612 unit side-resistance curves obtained from measured strain gauge recordings are utilized in this study. The proposed extrapolation approach is based on a new technique, the Double Tangent method, characterizing the extent of mobilization for each unit side-resistance curve. Roughly, 12% of the dataset exhibits a fully-mobilized load–displacement response, with the remainder exhibiting varying degrees of a partially-mobilized response. Fully-mobilized records are further characterized using the Double Tangent method over different ranges of mobilization, resulting in four regression models based on predominant soil types. Each model is assessed statistically, and a global regression model is found suitable to predict maximum unit side resistance. The global model is further validated using two independent load test datasets, comparing measured values of unit side resistance against predicted values. The model is then used to predict maximum unit side resistance for all partially-mobilized data within the dataset, and the results are compared to two extrapolation techniques currently used in practice. The corresponding resistance-displacement response is extrapolated using a proposed asymptotic curve-fitting function for side resistance, and an example extrapolation is illustrated to showcase how the proposed method can be used in engineering practice.     

Quality assessment for color correction-based stitched images via bi-directional matching

With the deepening of social information, the panoramic image has drawn a significant interest of viewers and researchers as it can provide a very wide field of view (FoV). Since panoramic images are usually obtained by capturing images with the overlapping regions and then stitching them together, image stitching plays an important role in generating panoramic images. In order to effectively evaluate the quality of stitched images, a novel quality assessment method based on bi-directional matching is proposed for stitched images. Specifically, dense correspondences between the testing and benchmark stitched images are first established by bi-directional SIFT-flow matching. Then, color-aware, geometric-aware and structure-aware features are respectively extracted and fused via support vector regression (SVR) to obtain the final quality score. Experiments on our newly constructed database and ISIQA database demonstrate that the proposed method can achieve comparable performance compared with the conventional blind quality metrics and the quality metrics specially designed for stitched images.     

超级UPS中锂电池功率变换单元设计

为了进一步提高供电电源的可靠性、安全性,超级UPS的概念应运而生。超级UPS包含电网、燃气发电机、锂离子电池、新能源等多种能源。除了作为后备储能外,在外部两种能源进行切换的间隙,锂电池功率变换单元需要紧急放电以支撑母线,直至两种能源完成切换。首先分析了超级UPS系统对锂电池功率变换单元的接入需求;然后为了提高电池充放电的控制精度,重点分析了检测通道的误差;最后,设计的锂电池功率变换单元方案在10 k W样机中进行了验证。     

基于HBP编码结构的MVC快速算法

针对MVC系统中运算量最大的矢量预测部分——单向搜索和双向搜索,该文提出一种快速算法。根据多视点视频的序列相关性,采用立体-运动约束模型在运动域和视差域进行联合迭代单向搜索,设计可信度因子来自适应地调整修正搜索窗口,同步搜索得到运动和视差矢量。此外,通过分析双向预测宏块的特性,提出一种双向搜索提前中止算法。实验结果证明该文算法的有效性,能在保持编码质量的同时极大减少算法复杂度。     

一种基于Wilkinson功率合成的双向放大器

本文提出了一种支持IEEE802.11n标准的高性能双向放大器设计方案,该放大器采用了基于微带线的Wilkinson功率分配/合成网络进行双路功率放大的合成.既保证了大的功率输出,而且解决了传统单功放结构下EVM指标差的问题.文章通过仿真验证了功率合成网络的可行性,并设计山了高输出功率高线性度的双向放大器.实验的测试结...     

凸轮分度工作台的结构与设计

介绍一种利用普通电机驱动的组合凸轮机构,实现双向连续、小角度分度定位的分度工作台,阐述了其结构原理与设计方法。     

基于深度学习的动态手势识别方法

为了提高动态手势的识别准确率,并避免动态手势的数据预分割和后输出处理过程,设计了一种融合卷积神经网络(CNN)和双向长短时记忆(BiLSTM),引入连接主义时间分类(CTC)作为损失函数的串联型网络模型。使用CTC训练网络来判断输入流中的类标签,以完成动态手势的识别工作。在公开视频手势数据集Jester和通过Kinect自建的包含9个动态手势的数据集上进行了实验验证,结果表明提出的串联型融合网络模型在Jester上能得到较高的识别率,并且引入CTC算法用于手势识别领域是可行的,该方法高效且具有很高的识别率,对9个动态手势最好识别正确率可达98.11%。     

液压支腿回路性能衰退预测方法研究

以某装备液压支腿回路为研究对象,分析回路常见故障机制,提取故障特征参数,基于无迹卡尔曼滤波算法,建立了双向液压锁性能衰退预测模型,构建工作指数指标,确定工作指数的异常阈值,估算双向液压锁工作寿命。基于MATLAB/Simulink模块,搭建双向液压锁仿真模型,设置装备相关作业参数,仿真双向液压锁在其寿命周期内性能随压力、温度的变化趋势。研究结果可为该元件的维修保障方案提供科学指导。     

Delay-Dependent Exponential Stability Criterion for BAM Neural Networks with Time-Varying Delays

By employing the Lyapunov stability theory and linear matrix inequality（LMI）technique,delay-dependent stability criterion is derived to ensure the exponential stability of bi-directional associative memory（BAM）neural networks with time-varying delays.The proposed condition can be checked easily by LMI control toolbox in Matlab.A numerical example is given to demonstrate the effectiveness of our results.     

汽车双电压系统中能量双向馈送DC-DC变换器的研究

随着汽车电气化和自动化的迅速发展，以14V电压为主的汽车电压系统已经不能满足日益增长的汽车电子设备的需要，汽车电压系统的升级被提上了日程。为了能够兼顾传统的14V汽车电气系统，而且不对现有的电气设备做大的改动，业界内提出了一个过渡方案：14V/42V双电压供电系统。 本文基于汽车14V/42V双电压电气系统的背景下提出一种非隔离型的双向DC-DC变换器，并且根据汽车车载电源的特殊要求设计出一台基于UC3525控制器的额定功率的变换器装置，针对双向DC-DC变换器的稳定性，可靠性，容量等方面进行了研究和试验。实验证明，装置在能量流向变化的情况下，闭环控制系统可根据电流方向实现模式切换，稳定输出，效果良好