Causes and typical control model of wind-drift sandy lands in abandoned channel of the Yellow River

The historical formation and development of the abandoned channel of the Yellow River is reviewed and its causes of formation and present condition of prevention and control are analyzed in this paper. Based on this analysis, some ideas about control, critical problems and countermeasures in the next period are proposed with two typical control models as examples. We suggest that in preventing and controlling the wind-drift sandy lands in the region, the emphasis should be to develop, with a greatly expanded effort, a recycling economy. This should realize a combination of two ideas, i.e. integrate combating desertification with a structural adjustment of agricultural and an increase in the income of farmers.

Formation Mechanism and Sedimentary Pattern of Abandoned Channels

Accurately identifying and quantitatively describing abandoned channels in meandering rivers are of great significance for improving hydrocarbon recovery. By using modern deposition analogy, field outcrop analysis, a dense well spacing, core observations and a review of the literature, this paper studied the formation process and space–time amalgamation of abandoned channels in meandering river. The results reveal that formation mechanisms of abandoned channels include chute cutoff patterns(shoal-cutting, ditch-scouring and embayment-eroding patterns) and neck cutoff patterns. The chute cutoff pattern forms a gradually abandoned channel, while the neck cutoff pattern forms a suddenly abandoned channel. From upstream to downstream, the sedimentary pattern of the abandoned channel transforms from a chute cutoff pattern to a neck cutoff pattern, where the main controlling factors transition from the grain size and gradient to the flow and vegetation. An abandoned channel formed by a chute cutoff pattern consists mainly of siltstone, fine sandstone and thin gravel layers, which form a lithological-physical barrier. The abandoned channel formed by a neck cutoff pattern consists mainly of mudstone and argillaceous siltstone, forming a lithological barrier. Based on the amalgamation and structure of the reservoir architectural elements, the abandoned channel can be divided into three planar sedimentary patterns(crescent, semilune and horseshoe) for a single channel and five vertical sedimentary patterns for composite channels.

Case Study: Hydraulic Model Study for Abandoned Channel Restoration

Recently, a paradigm of river restoration is recognized as the importance of flood plan involving abandoned channel. Hence, effort which abandoned channel area by improvement project will become the territory of river area is trying. This study is a part of river restoration project. In this study, hydraulic model experiment and numerical simulation were performed to understand the flow characteristic and bed change for abandoned channel restoration. The target area of the hydraulic model was the midstream of the Hampyeong Stream (stream length: 1.3 km). Horizontal scale was 1/50 and vertical scale was 1/40. For numerical simulation, the FESWMS model was used. Cases of hydraulic and numerical models were frequency flood discharge (50 and 100 years) and channel formation discharge (100 m3/s and 120 m3/s). Flow characteristics were analyzed in fixed condition using hydraulic and numerical models. Bed change on abandoned channel restoration was analyzed on deposition trend using sediment supply from upstream in hydraulic model, and was compared with results of bed shear stress in numerical model. Results velocity profile and bed shear stress of numerical model were similar with trends of measured velocity and deposition of hydraulic model. The results of this study will be applied to restoration design of abandoned channels.

Channel Response Prediction for Abandoned Channel Restoration and Applicability Analysis

As channel evaluation for abandoned channel restoration design, this study sought to exam channel changes from the past to the present and predict subsequently occurring river responses. For the methodology, channel geomorphology changes were evaluated through image analyses of annual aerial photographs to complement the limited river data. Channel responses were predicted using an analytical stable channel model, the SAM (Stable Channel Analytical Model) program, based on a stability theory as well as empirical equations for equilibrium channel. The results of the geomorphological channel changes showed that channels became narrower and bed levels became lower, whereas vegetated bars expanded. The channel response prediction results, narrower channels with deeper depths and mild slopes, were expected compared with the current condition. The channel response, obtained by the field measurement data, image information, and stability theory, are in relatively good agreements showing the reliability of the application suggested in this study. Consequently, the comprehensive channel evaluation approach is expected to be applicable to abandoned channel restoration designs from the aspects of channel geomorphology and hydraulics.

Two-Staged Method for Ice Channel Identification Based on Image Segmentation and Corner Point Regression

Identification of the ice channel is the basic technology for developing intelligent ships in ice-covered waters,which is important to ensure the safety and economy of navigation.In the Arctic,merchant ships with low ice class often navigate in channels opened up by icebreakers.Navigation in the ice channel often depends on good maneuverability skills and abundant experience from the captain to a large extent.The ship may get stuck if steered into ice fields off the channel.Under this circumstance,it is very important to study how to identify the boundary lines of ice channels with a reliable method.In this paper,a two-staged ice channel identification method is developed based on image segmentation and corner point regression.The first stage employs the image segmentation method to extract channel regions.In the second stage,an intelligent corner regression network is proposed to extract the channel boundary lines from the channel region.A non-intelligent angle-based filtering and clustering method is proposed and compared with corner point regression network.The training and evaluation of the segmentation method and corner regression network are carried out on the synthetic and real ice channel dataset.The evaluation results show that the accuracy of the method using the corner point regression network in the second stage is achieved as high as 73.33%on the synthetic ice channel dataset and 70.66%on the real ice channel dataset,and the processing speed can reach up to 14.58frames per second.

Shot Noise Suppression in a Quantum Point Contact with Short Channel Length

An experimental study on the current shot noise of a quantum point contact with short channel length is reported. The experimentally measured maximum energy level spacing between the ground and the first excited state of the device reached up to 7.5meV, probably due to the hard wall confinement by using shallow electron gas and sharp point contact geometry. The two-dimensionM non-equilibrium shot noise contour map shows noise suppression characteristics in a wide range of bias voltage. Fano factor analysis indicates spin-polarized transport through a short quantum point contact.

Check Point总裁Amnon Bar-Lev荣获CRN杂志2012年度最佳渠道主管

全球首屈一指的互联网安全解决方案厂商Check Point软件技术有限公司日前宣布,其总裁Amnon Bar-Lev被Everything Channel公司旗下的CRN杂志编辑团队评为2012年度最佳渠道主管,他已经连续五年获此殊荣。

FIXED-POINT BLIND ADAPTIVE MULTIUSER DETECTION ALGORITHM FOR IR UWB SYSTEMS IN MULTIPATH CHANNEL

Using the hypothesis that data transmitted by different users are statistically independent of each other,this paper proposes a fixed-point blind adaptive multiuser detection algorithm for Time-Hopping (TH) Impulse Radio (IR) Ultra Wide Band (UWB) systems in multipath channel,which is based on Independent Component Analysis (ICA) idea. The proposed algorithm employs maximizing negentropy criterion to separate the data packets of different users. Then the user characteristic se-quences are utilized to identify the data packet order of the desired user. This algorithm only needs the desired user’s characteristic sequence instead of channel information,power information and time-hoping code of any user. Due to using hypothesis of statistical independence among users,the proposed algorithm has the outstanding Bit Error Rate (BER) performance and the excellent ability of near-far resistance. Simulation results demonstrate that this algorithm has the performance close to that of Maximum-Likelihood (ML) algorithm and is a suboptimum blind adaptive multiuser detection algorithm of excellent near-far resistance and low complexity.

图像引导和点云空间约束的公路洒落物检测定位方法

公路洒落物是影响交通安全的重要因素之一,为了解决中小尺度公路洒落物检测中的漏检、误检以及难以定位等问题,本文提出了一种图像引导和点云空间约束的公路洒落物检测定位方法。该方法使用改进的YOLOv7-OD网络处理图像数据获取二维目标预测框信息,将目标预测框投影到激光雷达坐标系下得到锥形感兴趣区域(region of interest,ROI)。在ROI区域内的点云空间约束下,联合点云聚类和点云生成算法获得不同尺度的洒落物在三维空间中的检测定位结果。实验表明:改进的YOLOv7-OD网络在中尺度目标上的召回率和平均精度分别为85.4%和82.0%,相比YOLOv7网络分别提升6.6和8.0个百分点;在小尺度目标上的召回率和平均精度分别为66.8%和57.3%,均提升5.3个百分点;洒落物定位方面,对于距离检测车辆30~40 m处的目标,深度定位误差为0.19 m,角度定位误差为0.082°,实现了多尺度公路洒落物的检测和定位。

Three-dimensional analysis of pedicle screw channel,screw entry point and lateral surface of cervical vertebral body

Objective To explore three-dimensional relations of pedicle screw channel (PSC) ,screw entry point and lateral surface of cervical vertebral body by digital techniques. Methods CT scan images of cervical

用于多通道单分子定位的高精度图像配准方法

单分子定位技术可以绕过光学系统的衍射限制,在生物样品的单粒子追踪和超分辨显微成像中得到了广泛应用.多通道单分子定位采用多个成像通道,可以实现对不同目标的同时追踪或多色超分辨成像,也可以提升单粒子追踪的轴向深度或实现更高的定位精度和密度.但各通道图像间的差异会影响协同定位或定量分析,因此图像配准是其图像数据预处理的关键环节;且由于单分子定位精度高,其对多通道图像配准精度的要求也很高.现有技术一般采用基于控制点的配准方法,且多采用复杂而精密的方式来获取基准物网格图像用于定位得到控制点对,以实现高精度图像配准,对样品或实验设备要求高,难以直接推广.为此,本文基于局部非线性变换和误匹配点剔除,发展了一种可以直接采用随机分布荧光珠样品作为基准物的高精度图像配准方法,通过在特征匹配和变换模型参数估计的过程中对控制点进行监测和迭代筛选,以剔除因单分子定位不准确或精度差而导致未精确匹配的控制点对,从而消除以随机分布荧光珠样品作为基准物时对于控制点准确获取和精确匹配所带来的不良影响,同时采用基于局部加权平均的二阶多项式拟合进行变换模型参数估计,以更好地适用于不同通道间存在局部非线性形变的情形.结果表明,采用该方法只需要3次迭代,就可以将未准确定位和精确匹配的控制点对找到并剔除,从而实现更准确的变换模型参数估计,将配准精度提高一个数量级,在图像局部非线性形变情况严重的正交像散双通道单分子定位成像系统中实现了约6 nm的配准精度.

双通道特征融合的真实场景点云语义分割方法

真实场景点云不仅具有点云的空间几何信息,还具有三维物体的颜色信息,现有的网络无法有效利用真实场景的局部特征以及空间几何特征信息,因此提出了一种双通道特征融合的真实场景点云语义分割方法DCFNet(dual-channel feature fusion of real scene for point cloud semantic segmentation)可用于不同场景下的室内外场景语义分割。更具体地说,为了解决不能充分提取真实场景点云颜色信息的问题,该方法采用上下两个输入通道,通道均采用相同的特征提取网络结构,其中上通道的输入是完整RGB颜色和点云坐标信息,该通道主要关注于复杂物体对象场景特征,下通道仅输入点云坐标信息,该通道主要关注于点云的空间几何特征;在每个通道中为了更好地提取局部与全局信息,改善网络性能,引入了层间融合模块和Transformer通道特征扩充模块;同时,针对现有的三维点云语义分割方法缺乏关注局部特征与全局特征的联系,导致对复杂场景的分割效果不佳的问题,对上下两个通道所提取的特征通过DCFFS(dual-channel feature fusion segmentation)模块进行融合,并对真实场景进行语义分割。对室内复杂场景和大规模室内外场景点云分割基准进行了实验,实验结果表明,提出的DCFNet分割方法在S3DIS Area5室内场景数据集以及STPLS3D室外场景数据集上,平均交并比(MIOU)分别达到71.18%和48.87%,平均准确率(MACC)和整体准确率(OACC)分别达到77.01%与86.91%,实现了真实场景的高精度点云语义分割。

经络腧穴学课程“三段四相”创新教学改革

针对经络腧穴学课程的学习内容庞杂、基础知识缺乏临床应用、考核形式单一,以及学生的专业学习能力急需培养等问题,教学团队积极开展以学生为中心的“三段四相”课程教学改革设计与实践。“三段实施”即线上自主探索、线下任务驱动、课后交流应用;“四相整合”为线上与线下混合式教学、课程思政融入日常教学、基础课程渗透临床应用、课堂学习延伸与课外拓展。“三段四相”模式结合了丰富的线上学习资源、通畅的讨论答疑渠道、多维的评价体系,促成经络腧穴学的教学改革进一步深化。

针刀五脏夹脊穴配合拔罐调理亚健康临床观察

目的在针刀医学理论的指导下,运用中医脏腑、经络理论结合脊柱相关源性亚健康的调理机制,观察针刀五脏夹脊穴配合拔罐调理亚健康的临床效果。方法60例亚健康状态者随机分为两组,针刀组(观察组)与针刺组(对照组),两组均采用五脏夹脊穴调理。观察组用针刀刺松穴位后,分别向督脉及膀胱经透刺,然后选取五脏夹脊穴进行拔罐;对照组取五脏夹脊穴针刺,得气后运用平补平泻的手法,留针20 min,出针后进行拔罐。21 d后观察两组的调理效果。结果调理后显示观察组总有效率为96.4%(27/28),高于对照组的77.8%(21/27)(P<0.05);观察组痊愈率为39.3%(11/28),高于对照组的22.2%(6/27)(P<0.01)。结论针刀五脏夹脊穴配合拔罐调理亚健康效果显著,并具有很好的发展前景,值得在临床上推广。

基于锚点的快速三维手部关键点检测算法

在人机协作任务中,手部关键点检测为机械臂提供目标点坐标,A2J(Anchor-to-Joint)是具有代表性的一种利用锚点进行关键点检测的方法。A2J以深度图为输入,可实现较好的检测效果,但对全局特征获取能力不足。文中设计了全局-局部特征融合模块(Global-Local Feature Fusion,GLFF)对骨干网络浅层和深层的特征进行融合。为了提升检测速度,文中将A2J的骨干网络替换为ShuffleNetv2并对其进行改造,用5×5深度可分离卷积替换3×3深度可分离卷积,增大感受野,有效提升了骨干网络对全局特征的提取能力。文中在锚点权重估计分支引入高效通道注意力模块(Efficient Channel Attention,ECA),提升了网络对重要锚点的关注度。在主流数据集ICVL和NYU上进行的训练和测试结果表明,相比于A2J,文中所提方法的平均误差分别降低了0.09 mm和0.15 mm。在GTX1080Ti显卡上实现了151 frame·s^(-1)的检测速率,满足人机协作任务对于实时性的要求。

无人平台人机交互视线追踪技术

设计了一种基于头戴式眼动仪的无人平台人机交互系统,重点分析了基于空间投射原理的二维视线估计算法,通过多相机配准将眼动仪输出的三维视线向量映射在已知坐标的二维界面中,利用双向识别,分别识别视线与屏幕交互界面,实现人眼注视点在人机交互软件界面中的坐标转换。将注视点转换为交互指令,实现眼动与平台的交互。通过设计无人平台目标跟踪交互实验,比较了视线追踪与触控交互在简单点击交互任务中的适用情况,结果表明对比触控交互,使用视线追踪能将简单点击交互事件时间缩短1~1.5s。

辫状河储集层隔夹层成因及其对剩余油的影响——以大港油田刘官庄地区馆陶组三段Ⅱ砂组为例

为明确辫状河储集层隔夹层对剩余油分布的控制作用,以大港油田刘官庄地区馆陶组三段Ⅱ砂组为例,利用岩心、测井、录井、开发生产等资料,建立了研究区目的层段隔夹层定量识别标准,确定了隔夹层层次结构、成因及对剩余油分布的影响。研究区隔夹层可划分为砂组间隔层、单砂体间夹层和单砂体内夹层,分别发育在7级、8级和9级砂体构型界面附近。砂组间隔层与泛滥平原泥岩和粉砂质泥岩有关,厚度多为几十厘米至数米,对油气的垂向分隔作用强,开发过程中边水沿着地层优先推进,导致边部水淹严重,剩余油多分布在远离注水井的复合心滩坝及辫状河道的上部。单砂体间夹层与废弃河道和冲沟中的细粒沉积有关,厚度一般为0~2 m,局部阻碍流体垂向运移,侧向上控制着不同砂体间的剩余油分布,主要形成废弃河道控制型和冲沟控制型2种剩余油分布模式。单砂体内夹层主要与侧积泥岩、落淤层和河道间泥质沉积有关,层内夹层厚度可达几十厘米,可形成侧积泥岩控制型、落淤层控制型及河道间泥岩控制型3种剩余油分布模式。

考虑具有营销努力的双渠道供应链动态均衡

营销努力是发现或研究潜在消费者需求的过程,营销努力可以使企业利润产生浮动。在此背景下,构建了考虑营销努力的双渠道供应链动态博弈模型,并分析了系统均衡点的稳定性条件。通过数值模拟的方法,研究了系统分岔图、以及共存吸引子的演化情况。研究结果表明,需求调整速度、消费者渠道偏好、制造商营销努力投入系数、制造商与零售商需求敏感系数等因素都对系统稳定性产生影响。较小的调整速度和中等程度的营销努力投入有利于供应链成员实现最优利润。同时,渠道偏好系数和营销努力程度需要保持在一定范围内,否则市场会失去稳定性并呈现混沌状态。