Experimental investigation of key parameters pertinent to multi-hole orifice throttling characteristic

This study firstly defines a set of arrangement rule for perforated holes of multi-hole orifice(MO), and then presents three critical geometrical parameters including total number of performated hole, equivalent diameter ratio and distribution density of perforated holes, which are to quantify MO structure. This paper built the throttling test apparatus for nice test MO plates, which were designed according to orthogonal theory. The experiments were conducted to investigate the effect of three critical geometerical parameters on the pressure loss coefficient of test MOs. Results show that equivalent diameter ratio is the dominant prameter affecting MO throttling characterstic.

Experimental study of a simple pressure loss coefficient model for multi-hole orifice

A throttling experiment for the multi-hole orifice (MO) using water was conducted based on the conclusion of key parameters affecting the MO throttling performance. Testing MOs and standard orifice plates (SOs) were designed for the throttling experiment to compare the throttling effect using the equivalent diameter ratio (RED) and diameter ratio (RD) as key parameters, respectively. Meanwhile, effective metrical conditions were provided for experimental accuracy. The throttling model form was determined according to the theoretical throttling model of SO. Then the unknown parameters involved were identified by experimental data. A good concordance between the modeling computation and experimental results shows a validation of the MO throtting model.

A branch-and-bound algorithm for multi-dimensional quadratic 0-1 knapsack problems

In this paper, a branch-and-bound method for solving multi-dimensional quadratic 0-1 knapsack problems was studied. The method was based on the Lagrangian relaxation and the surrogate constraint technique for finding feasible solutions. The Lagrangian relaxations were solved with the maximum-flow algorithm and the Lagrangian bounds was determined with the outer approximation method. Computational results show the efficiency of the proposed method for multi-dimensional quadratic 0-1 knapsack problems.

Single-mode low threshold current multi-hole vertical-cavity surface-emitting lasers

A multi-hole vertical-cavity surface-emitting laser （VCSEL） operating in stable single mode with a low threshold current was produced by introducing multi-leaf scallop holes on the top distributed Bragg-refleetor of an oxidation- confined 850 nm VCSEL. The single-mode output power of 2.6 mW, threshold current of 0.6 mA, full width of half maximum lasing spectrum of less than 0.1 nm, side mode suppression ratio of 28.4 dB, and far-field divergence angle of about 10% are obtained. The effects of different hole depths on the optical characteristics are simulated and analysed, including far-field divergence, spectrum and lateral cavity mode. The single-mode performance of this multi-hole device is attributed to the large radiation loss from the inter hole spacing and the scattering loss at the bottom of the holes, particularly for higher order modes.

A branch-and-bound algorithm for discrete multi-factor portfolio optimization model

In this paper, a new branch-and-bound algorithm based on the Lagrangian dual relaxation and continuous relaxation is proposed for discrete multi-factor portfolio selection model with roundlot restriction in financial optimization. This discrete portfolio model is of integer quadratic programming problems. The separable structure of the model is investigated by using Lagrangian relaxation and dual search. Computational results show that the algorithm is capable of solving real-world portfolio problems with data from US stock market and randomly generated test problems with up to 120 securities.

Parameters Optimization of Multi-Branch Horizontal Well Basing on Streamline Simulation

As a highly efficient production method, the technique of multi-branch horizontal well is widely used in low permeability reservoirs, heavy oil reservoirs, shallow layer reservoirs and multi-layer reservoirs, because it can significantly improve the productivity of a single well, inhibit coning and enhance oil recovery. Study on sweep efficiency and parameters optimization of multi-branch horizontal well is at the leading edge of research. Therefore, the study is important for enhancing oil recovery and integral exploitation benefit of oil fields. In many applications, streamline simulation shows particular advantages over finite-difference simulation. With the advantages of streamline simulation such as its ability to display paths of fluid flow and acceleration factor in simulation, the flooding process is more visual. The communication between wells and flooding area has been represented appropriately. This method has been applied to the XS9 reservoir in Daqing Oilfield. The production history of this reservoir is about 10 years. The reservoir is maintained above bubble point so that the simulation meets the slight compressibility assumption. New horizontal wells are drilled following this rule.

Linear and Nonlinear Optical Properties of Novel Multi-branched Oligomers

我们调查统一多分叉的 truxene 的依赖相片物理的性质的 fluorene-vinylene 基于的 oligomers (Tr-OFVn， n=14 ) 采用的不变的吸收和排放光谱学，短暂吸收光谱学，二光子的荧光，和 z 扫描技术。增加 fluorene-vinylene 联合起来导致的结果表演一在吸收和荧光的系列红移动，并且弄短激动的州的一生。同时，二光子的荧光效率和 truxene 的二光子的吸收十字节逐渐地基于 oligomers 与结合的长度的延期在同伴提高。另外，十字节在 sum-over-state 上建模的二光子的吸收的价值来临与试验性的同意很好。结果显示多分叉的 truxene 基于忍受手臂为二光子的应用正在答应器官的材料的 oligo (fluorene-vinylene ) 的 oligomers。

Optimization for Hydroforming Loading Paths of Parallel Multi-branch Tubes Based on Grey System Theory

According to characteristic of hydroforming of parallel multi-branch tubes,multi-objective problems were transformed to single objective problem of relational grade comparison by grey system theory.Two different objectives were selected,according to the principle that process parameters were optimal which of grey relational grade were maximum,the optimal loading parameters under different objective condition were obtained,and loading paths were optimized.The results indicated that parallel multi-branch tubes hydroformed under loading paths optimized by grey system theory could meet with the requirement that objective was optimal.And the optimal loading paths under different objectives were different,and the appropriate objective should be selected according to forming characteristic.

Optimization Design of Multi-hole and Varied Diameter Pipe Based on RAGA

Combining real accelerating genetic algorithm(RAGA) with the optimization design of multi-hole and varied diameter pipe, the authors solved the problem of optimizing multi-dimensional parameters at the same time. In which the advanced convergence and easily to run into partial optimization were avoid. Applied the RAGA to solving the problem in the optimization design of fixed piping sprinkler irrigation system. The optimized parameters, such as diameters and the length of pipe were calculated and the result was reasonable, which provides as a reference to readers who work at related research.

Development of a biliary multi-hole self-expandable metallic stent for bile tract diseases: A case report

BACKGROUND Uncovered stents used for malignant obstructions in the biliary tree, especially in the hilar area, are prone to obstruction by tumor ingrowths. In comparison, however, covered stents may block bile duct branches and are at risk of migration. We have developed a multi-hole self-expandable metallic stent (MHSEMS), with a hole in each cell, to prevent the obstruction of bile duct branches. In addition, the holes may prevent migration due to small ingrowths by reducing the tension of the membrane. CASE SUMMARY MHSEMS were placed in five patients with a malignant obstruction and one with post-endoscopic sphincterotomy bleeding. Each MHSEMS was successfully deployed in all cases. Patients showed no complications. Two cases were reviewed. Case 1: A 74-year-old male presented with jaundice and was diagnosed with a sigmoid colon cancer and giant liver metastases in the right liver lobe. A MHSEMS was placed in the left bile duct. The jaundice improved and peroral cholangioscopy was performed. Case 2: A 90-year-old female was admitted to hospital for jaundice and diagnosed with cholangiocarcinoma. A MHSEMS was placed in the left bile duct but after 8 months the stent became obstructed by tumor ingrowth. We treated the patient by ablation therapy. A silicone cover separated the internal bile duct from the surrounding tissue, protecting the latter from thermal injury during treatment by endobiliary ablation of the reobstruction. CONCLUSION A MHSEMS is a new choice of stent for biliary tract diseases.

Stability Analysis of a Multi-holes Shell Under Axial Compression

The paper presents a multi-holes shell with one hundred and eighty circular holes which has been used in engineering. Using a buckling module of the finite element analysis software, stability behavior and destroy mode along geometry parameters are studied. Results show the destroy mode depends on the geometry parameter greatly. Curves of buckling critical load and strength limited load along geometry parameters have a point of intersection. The point implies the multi-holes shell has different destroy mode and the value of point is change in geometry parameters.

多阶段堆叠融合下的敦煌壁画修复

为解决敦煌破损壁画修复难的问题,提出一种多阶段堆叠融合下的壁画修复模型,在第一阶段进行粗修复以及最大化地进行所需特征信息的提取时采用Unet结构,为增强该阶段的修复效果,又加入对抗网络(LsGan);在第二阶段进行精细化修复,主要修复纹理以及细化遮挡区域,引入多头连接和多尺度分支堆叠模块并对其进行改进,对壁画进行多阶段信息提取并对其进行融合;最后为了修复全局细节,采用大感受野的编解码器结构并且引入轻量级通用可视化(Mobile ViT)模块,同时分离了壁画图像的通道并进行分析,引入对通道不敏感的极化注意力。实验结果表明,该模型很好地解决了壁画纹理以及细节修复的难题,相较于所选修复算法最优数据,在掩码面积为5%~20%时,峰值信噪比提高了3.312,在掩码面积为5%~80%时,平均峰值信噪比提高了1.02。

基于“大数据+人工智能”的多院区医院行政管理工具探索

公立医院大多自有大数据平台和办公自动化系统,但两个系统独立提供服务,且缺乏使用指南和智能查询等功能,造成职工办事效率和平台使用率双低的局面;在多院区医院管理中,跨院区业务办理存在诸多不便,亟须升级行政公共服务能力,改革创新管理模式。在智慧医疗发展的大背景下,多数医院医疗服务的智慧化程度较高而行政办公的信息化程度不足。本研究拟构建基于“大数据+人工智能”的医院行政助手,以期利用信息化手段提升管理效率、便捷职工办事,推动医院精细化管理和决策。同时为多院区医院的行政办公服务提供经验参考。

双注意力随机选择全局上下文细粒度识别网络

针对细粒度图像识别任务中易忽视微小潜在性特征且外观差异细微等问题,提出一种基于双注意力随机选择全局上下文细粒度识别网络。首先,使用ConvNeXt作为主干网络,提出双注意力随机选择模块,对不同阶段提取到的特征进行通道随机选择和空间随机选择,使网络能够关注到其他潜在微小判别性特征;其次,利用全局上下文注意力模块将深层特征的语义信息融合到中间层,增强中间层定位微小特征的能力;最后,提出一种多分支损失,对中间层、深层和拼接层特征引入分类损失,结合不同分支提取到的特征,诱导网络获得多样性的判别特征。所提网络在Stanford-cars、CUB-200-2011、FGVC-Aircraft 3个公开细粒度数据集和真实场景下车型数据集VMRURS上分别达到了95.2%、92.1%、94.0%和97.0%的识别准确率,其性能相比其他对比方法有较大幅度提升。

联合多连接特征编解码与小波池化的轻量级语义分割

语义分割是当前场景理解领域的基础技术之一。现存的语义分割网络通常结构复杂、参数量大、图像特征信息损失过多和计算效率低。针对以上问题,基于编-解码器框架和离散小波变换,设计了一个联合多连接特征编解码与小波池化的轻量级语义分割网络MLWP-Net(Multi-Link Wavelet-Pooled Network),在编码阶段利用多连接策略并结合深度可分离卷积、空洞卷积和通道压缩设计了轻量级特征提取瓶颈结构,并设计了低频混合小波池化操作替代传统的下采样操作,有效降低编码过程造成的信息丢失;在解码阶段,设计了多分支并行空洞卷积解码器以融合多级特征并行实现图像分辨率的恢复。实验结果表明,MLWP-Net仅以0.74 MB的参数量在数据集Cityscapes和CamVid上分别达到74.1%和68.2%mIoU的分割精度,验证了该算法的有效性。

加强筋位置对半穿甲战斗部侵彻多层钢靶性能影响研究

为了研究加强筋位置对半穿甲战斗部侵彻多层钢靶性能的影响,通过试验及数值仿真,研究了加强筋在弹体轴向不同位置处的2种半穿甲战斗部,以一定速度(710 m/s)、着角(20°)侵彻8层钢靶的弹道偏转、弹孔尺寸、余速的差异。研究结果表明:加强筋位置由弹尖向质心位置逼近时弹道偏转角减小、弹孔长轴减小、穿甲能力提升;弹道偏转角增量与靶间距呈正相关关系;弹道偏转角、侵彻余速、弹头侵蚀量及弹孔仿真结果与试验实测值最大偏差为8.82%,仿真与试验结果符合较好。研究结果可为半穿甲战斗部方案设计提供参考。

多层次特征融合与超图卷积的生成对抗壁画修复

针对现有壁画深度学习修复方法,存在上下文信息关注不足及结果欠佳的问题,提出了一种多层次特征融合与超图卷积的生成对抗修复模型。首先,利用金字塔特征分层对壁画进行多尺度层次特征提取,并采用混合空洞卷积单元扩大多层特征提取感受野,以克服单尺度卷积操作对于壁画特征提取能力不足的问题。然后,提出多分支短链融合层及门控机制融合多分支特征方法,将相邻分支间的特征信息进行融合,使融合后的壁画特征图中既有同分支的特征,又有相邻分支的特征,以提高特征信息的利用率;并引入门控机制对特征进行选择融合,以减少细节信息的丢失。接着,将融合特征通过卷积长短期记忆网络(ConvLSTM)特征注意力方法,增强对壁画上下文信息的关注。最后,设计超图卷积壁画长程特征增强模块,通过在编码器和解码器的跳跃连接之间建立超图卷积层,利用超图卷积捕获编码器的空间特征信息,并将其迁移到解码器中,有助于解码器更好地生成壁画图像,以加强特征的长程依赖关系,并与SN-PatchGAN判别器对抗博弈从而完成修复。通过敦煌壁画数字化修复实验,结果表明:所提方法客观评价优于对比算法,对于破损壁画修复结果更加清晰自然。

基于Wi-Fi感知的多用户身份识别研究

随着无线感知技术的发展,基于Wi-Fi的身份识别研究在人机交互和家居安防等领域备受关注。尽管基于Wi-Fi信号的身份识别已经取得了初步的成功,但是目前主要适用于用户独立行为场景,并发行为下的多用户身份识别仍然面临着一系列挑战,包括用户之间的相互干扰以及模型鲁棒性差等问题。因此,提出了一种并发行为下多用户身份识别系统Wiblack,其核心思想是训练一个多分支深度神经网络(Wiblack-Net)来提取每个单用户的独特特征。首先,利用主干网络提取多用户之间的共同特征;然后,为每个用户分配一个二分类器以此判断给定群体中是否存在目标用户,在此基础上基于并发行为实现多个用户身份识别。此外,将Wiblack与多个独立的二分类模型和单个多分类模型进行对比实验,对运行效率和系统性能进行分析。实验结果显示,在同时识别3个用户身份时,Wibalck平均准确率达到了92.97%,平均精确度为93.71%,平均召回率为93.24%,平均F1值为92.43%。

联合归一化模块和多分支特征的行人重识别

针对行人重识别技术中存在特征挖掘不充分的问题,提出一种联合归一化模块和多分支特征的行人重识别模型。在主干网络中嵌入注意力机制引导的实例归一化模块,减轻背景等杂波信息的影响。在双级特征融合模块对局部特征进行加权后再聚合形成对行人特征的更细节表达。联合平滑交叉熵损失、三元组损失以及跨分支特征蒸馏损失对网络进行优化。所提模型在Market-1501和DukeMTMC-ReID数据集上首位准确率分别达到了95.7%和89.2%。实验结果表明,该模型增强了对图像特征的提取。

基于多分支空谱特征增强的高光谱图像分类

为了解决高光谱图像自身及分类过程中噪声干扰大、空间-光谱特征信息提取不足以及有限样本下分类性能不佳等问题,提出一种基于多分支空谱特征增强的高光谱图像分类模型SSFE-MBACNN。首先,利用多分支特征提取模块分别提取浅层空谱特征和深层空间特征信息,并引入注意力机制抑制噪声干扰。其次,设计一种改进多尺度空谱特征提取融合模块及结合双池化和空洞卷积的空间特征增强模块实现空谱特征增强,减少模型参数量和提高分类性能。最后,用全局平均池化层代替全连接层,进一步降低参数量,缓解模型过拟合问题。实验结果表明,在Indian Pines(10%训练样本)、Pavia University (5%训练样本)和Salinas(1%训练样本)数据集分别取得了0.990 7、0.997 5和0.994 7的总体分类精度。SSFE-MBACNN不仅能充分利用空谱特征信息,而且在有限样本下也取得了优秀的分类性能,明显高于其他对比方法。