矩形明渠消力池水跃的水头损失研究

为了研究沿程水头损失与局部水头损失的变化规律,根据沿程水头损失的基本定义,推求矩形明渠消力池水跃区沿程水头损失与床面阻力系数、水跃共轭水深比、跃前断面宽高比及跃前断面水深的理论关系,提出了矩形明渠水跃区沿程水头损失及其系数和局部水头损失系数的理论公式,给出了沿程水头损失系数、局部水头损失系数和总水头损失系数的简单拟合公式。研究表明:沿程水头损失随着跃前断面水深和床面阻力系数的增大而增大,随着水跃共轭水深比和跃前断面宽高比的增大而减小;局部水头损失系数随着跃前断面弗劳德数的增大而增大;水跃区局部水头损失占比随着弗劳德数的增加而增加,弗劳德数为3时的局部水头损失占比达到90%,弗劳德数为6时的局部水头损失占比已达到95%以上。研究成果可进一步完善并丰富水跃理论体系。     

城市水土保持区划及功能性评价研究——以宜昌市为例

目前全国地级市水土保持区划工作滞后,宜昌市作为湖北省域副中心城市,城市水土流失严重。为突出地方特色、因地制宜地指导地方水土保持区划工作的落地实施,以宜昌市为例,在国家、省级水土保持区划成果的基础上,紧密结合宜昌市地方特点,逐步进行细化,形成宜昌市水土保持四级区划,并对区划成果进行基本功能分析评价。 宜昌市水土保持区划使用四级分区体系,前三级区划沿用国家水土保持区划中一级、二级、三级分区范围;四级区被分为6个水土保持片区:沿江平原丘陵农田防护区、香溪河山地生态维护区、三峡库区山地丘陵保土区、沮漳河山地丘陵保土区、清江山地水源涵养保土区以及中心城区人居环境维护区。全市共涉及5个水土保持基本功能,分别为农田防护、生态维护、土壤保持、水源涵养和人居环境维护。地级市水土保持区划分区既要在国家、省级水土保持区划基础上进行,同时还需突出地方特点,因地制宜。宜昌市水土流失治理应坚持预防为主,保护水源,并加强水土保持重点监管。     

模型桥墩局部冲刷瞬时地形数据自动获取装备研制

模型试验中冲刷地形测绘装备相对落后,致使桥墩周围局部冲刷瞬时地形数据无法实时获取,冲刷动态发展过程及机理的模型试验研究工作难以开展。研制了一种模型桥墩局部冲刷瞬时地形数据等值线自动绘制装备,并利用室内水工模型试验优化了各组成的性能指标,量化了绘制装备的设计参数,分析了监测系统在模型应用中的测绘精度及在工程原型中的适用性。模型试验研究表明,该装备结构简单,操作方便,加工制作成本较低,精度及灵敏性较高,能够快速获取动态过程中局部冲刷瞬时地形等值线,适用于局部冲刷发展影响流场特性研究中的水下地形快速测绘,也可按放大比尺制作成型后应用于涉水建筑物周围水下地形监测。     

Prediction of scouring around an arch-shaped bed sill using Neuro-Fuzzy model

In this study, Adaptive Neuro-Fuzzy Inference System (ANFIS) has been used to model local scouring depth and pattern scouring around concave and convex arch shaped circular bed sills. The experimental part of this research study includes seven sets of laboratory test cases which were performed in an experimental flume under different flow conditions. A data set consists of 2754 data points of scouring depth were collected to use in the ANFIS model. The ratio of arch diameter, D, to flume width, W, is used as a non dimensional variables in all test cases. The results from ANFIS model were compared with the results of ANN model obtained by Homayoon et al. [24] and previously presented models. The results indicated that for D/W equal to 1 and 1.2, the ANFIS models produced a good performance for convex and concave bed sills. As a result, the ANFIS models can be used as an alternative to ANN for estimation of scour depth and scour pattern around a concave bed sill installed with a bridge pier.     

带有局部控制因子的图割光流估计

提出一种带有局部空间项控制因子的图割光流估计算法,能判断和处理光流场的平移遮挡现象。文中分析了平移遮挡的形成机理,构造了遮挡判别公式,基于本次的正向和反向光流场,依靠遮挡判别结果调节局部空间项控制因子,建立下次的能量泛函,加强背景区域对遮挡区域的平滑作用,隔绝运动区域对遮挡区域的平滑作用,从而构造出新结构的网络流图。另外,该算法被证明可以阻断遮挡误判在各次图割优化过程间的传递,从而使逐次α-扩散移动图割光流算法具有自适应处理遮挡的能力。通过与Ground-truth光流场的实验对比,表明该算法能较好地判断与处理遮挡导致的光流场无效区域。     

近邻自适应局部尺度的谱聚类算法

提出一种在LUV空间中基于多层次化结构Nystrm方法的自适应谱聚类算法。首先引入LUV色彩空间,避免了RGB色彩空间中色彩辨别阈对分割的影响,在纹理、边缘区域取得了更好的分割效果;其次将谱聚类算法中基于多层次化结构的方法和基于Nystrm采样的方法结合起来,有效减少了运算时间、解决了数据量较大时计算过程中内存溢出的问题;最后在K均值聚类中通过对特征间隙(eigengap)的分析,自适应地选择K值的大小,解决了自动确定聚类数目的问题。将提出的方法在LUV色彩空间中和RGB色彩空间中分别进行图像分割实验,结果表明在LUV色彩空间中取得效果更加理想。同时也将提出的算法与基于Nystrm方法的谱聚类算法(spectral clustering-Nystrm,SC-N)进行比较。实验结果表明,该算法在数据运算量、运行时间和分割结果上都优于SC-N方法。     

The pulse distributed file system

A network of powerful personal computers, linked by a high-speed local area network, is being seen increasingly as an alternative to a traditional centralized time-sharing operating system. The PULSE project is investigating how such a system may be constructed to give the benefits of a self-sufficient personal computer to each user without losing the facilities for communication and sharing of data inherent in centralized systems. In particular, a distributed file system has been built which provides a single global UNIX

1 UNIX is a trademark of Bell Laboratories.

-like hierarchy, with a consistent appearance when accessed from any machine. Replicated copies of files are maintained to improve reliability, increase performance, and enable each machine to run stand-alone, albeit with reduced facilities.     

用局部法评定焊接接头的疲劳性能

采用16Mn钢非承载十字焊接接头疲劳试验结果对使用Dang Van准则的疲劳评定局部方法进行了研究。结果表明，有限元分析中应力集中区单元尺寸对局部参量计算有明显影响，为获得比较合理的预测结果需对焊趾应力集中区所划分的单元尺寸限定，当接头焊趾半径在0．15-0．8mm变化时应选择最小单元尺寸0．32-0．62mm计算局部参量；在此基础上Dang Van准则可以对焊态接头做出合理的评定，但Dang Van建议的卢值偏安全。此外，通过计算发现焊趾半径只影响局部很小区域(约0．5mm内)的应力集中分布，在某一深度(约0．5mm)后存在稳定的应力集中，因而建议采用距应力集中区最大应力处某一深度的应力参数计算Dang Van局部参量可能更为合理，这将减小局部参数对焊趾半径及单元尺寸的依赖性。     

基于红外检测的变电站设备热状态诊断

提出了一种基于红外检测的变电站设备热状态诊断方案。首先基于变电站设备的红外图像,采用局部方差映射函数和遗传算法阈值提取了变电站设备的热状态数据,以用于对异常区域进行分割。然后构建了红外图像灰度数与变电站设备温度两者之间的关系。最后采用改进的相对温差法达到了对设备热状态进行分类和诊断的目标,并捕获定位了变电站设备的热状态异常区域。实验结果表明,该方法提高了异常热区提取的精度和效率,提升了变电站设备热状态诊断的容错能力,进一步保证了变电站和整个电力系统的运行稳定性。     

Local Protein Translation and RNA Processing of Synaptic Proteins in Autism Spectrum Disorder

Autism spectrum disorder (ASD) is a heritable neurodevelopmental condition associated with impairments in social interaction, communication and repetitive behaviors. While the underlying disease mechanisms remain to be fully elucidated, dysfunction of neuronal plasticity and local translation control have emerged as key points of interest. Translation of mRNAs for critical synaptic proteins are negatively regulated by Fragile X mental retardation protein (FMRP), which is lost in the most common single-gene disorder associated with ASD. Numerous studies have shown that mRNA transport, RNA metabolism, and translation of synaptic proteins are important for neuronal health, synaptic plasticity, and learning and memory. Accordingly, dysfunction of these mechanisms may contribute to the abnormal brain function observed in individuals with autism spectrum disorder (ASD). In this review, we summarize recent studies about local translation and mRNA processing of synaptic proteins and discuss how perturbations of these processes may be related to the pathophysiology of ASD.