W-F STRUCTURE: A NEW ALGORITHM ON WIRE-FRAME MODELING

This paper advances a new algorithm oriented to geometry modeling (GM) by using frame model. The elemental data structure of frame model is the vertex. This afeoithm provides a general and rapid method. By this way,we can link the vertices to construct the elemental frame and need not consider the topological relation among vertices which consist of the concrete entity. Then, we can combine the elemental frames to complete frame modeling by using aided-line method referring to concrete entity. We will discuss two keystones in the paper. Then we give a 3D geometry modeling example based on wire-frame model using the new algorithm.

An Improved Functional Hierarchy Frame Model for System Maintainability

By means of analogy, this paper analyses the present functional hierarchyframe model for system maintainability, and presents an improved model. Practical applicationindicates that the improved model is visualized, more convenient and perfected over the perviousmodels.

Quantum Realities and Observer-Dependent Universes: An Advanced Observer Model

This paper presents a novel observer model that integrates quantum mechanics, relativity, idealism, and the simulation hypothesis to explain the quantum nature of the universe. The model posits a central server transmitting multi-media frames to create observer-dependent realities. Key aspects include deriving frame rates, defining quantum reality, and establishing hierarchical observer structures. The model’s impact on quantum information theory and philosophical interpretations of reality are examined, with detailed discussions on information loss and recursive frame transmission in the appendices.

MRF model and FRAME model-based unsupervised image segmentation

This paper presents a method for unsupervised segmentation of images consisting of multiple textures. The images under study are modeled by a proposed hierarchical random field model, which has two layers. The first layer is modeled as a Markov Random Field (MRF) representing an unobservable region image and the second layer uses 'Filters, Random and Maximum Entropy (Abb. FRAME)' model to represent multiple textures which cover each region. Compared with the traditional Hierarchical Markov Random Field (HMRF), the FRAME can use a bigger neighborhood system and model more complex patterns. The segmentation problem is formulated as Maximum a Posteriori (MAP) estimation according to the Bayesian rule. The iterated conditional modes (ICM) algorithm is carried out to find the solution of the MAP estimation. An algorithm based on the local entropy rate is proposed to simplify the estimation of the parameters of MRF. The parameters of FRAME are estimated by the ExpectationMaximum (EM) algorithm. Finally, an experiment with synthesized and real images is given, which shows that the method can segment images with complex textures efficiently and is robust to noise.

PHYSICAL MODELLING OF ISOTHERMAL DIE FORGING PROCESS OF Ti-ALLOY STRUCTURAL AIR-FRAME PART WITH ETYPE CROSS-SECTION AND VARYING THICKNESS RIB

Isothermal flashless die forging process of Ti - alloy structural air - frame part with varying thickness rib has been modelled in this paper.The results of present study show that a upside - down trapezoid rib would be formed and buckling would occure as blank is reduced,if the thickness of billet is maller than or equal to the thickness of rib. During modelling process of structural air frame part with E type cross - section rib, the saddle or lap would be formed finally at the middle of transverse rib between ribs with increase in deformation.If metal is allowed to flow out at confluence of longitudinal and transverse rib, the lop defect would be eliminated,, but a pipe cavity is obvious on corresponding loca- tion of blank. of defect formation depends on distance of metal flow ,friction,temperature homoge- neity of the blank and complexity of the part.

A MULTIPLE STRUCTURE RECONSTRUCTION ALGORITHM BASED ON WIRE FRAME MODEL

A “LAG & RLC” visualization algorithm has been presented to display a clear three dimensional structure from stereo slice data which has the characteristics of multiple layer structure. This algorithm is based on wire frame model which can do multiple logical operations and has multiple display effects. It has wide use in biomedical science and computer graphics. The practical system is based on PC with a TVGA adapter at least 512k byte display memory and 2M byte extended memory.

Evaluation of the fishbone model in simulating the seismic response of multistory reinforced concrete moment-resisting frames

The fishbone model is a simplified numerical model for moment-resisting frames that is capable of modelling the effects of column-beam strength and stiffness ratios. The applicability of the fishbone model in simulating the seismic responses of reinforced concrete moment-resisting frames of different sets of column-beam strength and stiffness ratios are evaluated through nonlinear static, dynamic and incremental dynamic analysis on six prototype buildings of 4-, 8-and 12-stories. The results show that the fishbone model is practically accurate enough for reinforced concrete frames, although the assumption of equal joint rotation does not hold in all cases. In addition to the ground motion characteristics and the number of stories in the structures, the accuracy of the model also varies with the column-beam stiffness and strength ratios. The model performs better for strong column-weak beam frames, in which the lateral drift patterns are better controlled by the continuous stiffness provided by the strong columns. When the inelastic deformation is large, the accuracy of the model may be subjected to large record-to-record variability. This is especially the case for frames of weak columns.

Application of time series modeling to a national reference frame realization

This paper presents an option for modern dynamic terrestrial reference system realization in Uzbekistan for user needs. An additive model is explored to predict patterns of time series and investigate means of constructing forecast time series models in the future. The main components(trend, periodical, and irregular) of the KIUB(DORIS) and KIT3, TASH, MADK, and MTAL(GNSS) international stations coordinate time series were investigated. It was shown that seasonal nonlinear trends occurred both in the height(U) component of all stations and the east(E) component of high mountainous stations such as MTAL and MADK. The seasonal periodical portion of the time series determined from the additive model has a complicated pattern for all sites and can be explained as both hydrological signals in the region and improvement of observational quality. Amplitudes of the best-fitting sinusoids in the North component ranged between 1.73 and 8.76 mm; the East component ranged between 0.82 and 11.92 mm; and the Up component ranged between 3.11 and 40.81 mm. Regression analysis of the irregular portion of the height component of the two techniques at the Kitab station using tropospheric parameters(pressure and temperature) was confirmed as only 57% of the stochastic portion of the time series.

Extended intrinsic mean spin tensor for turbulence modelling in non-inertial frame of reference

We investigate the role of extended intrinsic mean spin tensor introduced in this work for turbulence modelling in a non-inertial frame of reference. It is described by the Euclidean group of transformations and, in particular, its significance and importance in the approach of the algebraic Reynolds stress modelling, such as in a nonlinear K-ε model. To this end and for illustration of the effect of extended intrinsic spin tensor on turbulence modelling, we examine several recently developed nonlinear K-ε models and compare their performance in predicting the homogeneous turbulent shear flow in a rotating frame of reference with LES data. Our results and analysis indicate that, only if the deficiencies of these models and the like be well understood and properly corrected, may in the near future, more sophisticated nonlinear K-ε models be developed to better predict complex turbulent flows in a non-inertial frame of reference.

基于特性的牵引车-半挂车刚柔组合车架动力学模型研究

商用车较大的车架柔性会影响到整车的操纵稳定性和乘坐舒适性,尤其是在共振时车架柔性会放大对车辆运动品质的影响。为实时模拟牵引车-半挂车的车架运动,采用基于总成特性的建模技术路线,根据运动响应频域将车架运动解耦为低频刚体运动和高频柔体运动,并将车架模型模块化划分为基于多体动力学的刚体车架模块、基于模态综合法的柔体车架模块,然后将两模块求解结果叠加形成刚柔组合车架模型。最后,将车架模型嵌入牵引车89DOF-半挂车73DOF整车模型中,针对某款商用车进行仿真,通过对比实车场地试验结果,验证了模型的有效性。

新型分层装配式节点钢框架地震易损性分析

为提高装配式钢框架的装配效率,结合节点抗震性能要求,提出一种新型全螺栓分层装配式节点。对新型和传统两类节点进行抗震性能试验研究,并把节点参数引入整体框架模型中,采用SAP2000建立两类框架模型并进行增量动力分析。考虑基于层间位移角的单参数损伤模型和基于变形与累积耗能的双参数损伤模型,定义结构性能水准限值并划分破坏等级,对结构进行地震易损性分析。结果表明:在单、双参数损伤指标下,新型节点框架的易损性曲线都包络于传统节点钢框架的易损性曲线内,且新型节点框架的抗倒塌储备系数更大,说明采用新型节点能降低结构在各破坏状态下的失效概率,提高框架的抗倒塌能力;在LS1、LS2极限状态下结构基于单参数损伤指标的峰值加速度中位值比基于双参数损伤指标下的峰值加速度中位值小,在LS3、LS4极限状态下则相反,说明累积耗能对结构抗震性能评估影响明显,结合双参数损伤指标能更好地预测结构的损伤程度;新型节点框架在单、双参数损伤模型下的倒塌储备系数均高于传统框架,说明新型框架的抗倒塌储备能力更高,有利于结构抗震。

基于虚拟增强现实交互技术的茶疗养生文旅产业研究

以茶疗养生为主题,以虚拟增强现实交互(augmented reality,AR)技术为科技手段和技术优势,通过创新驱动发展实现茶疗养生文旅场景设计应用的新突破。在现实场景下,用户可使用具备AR功能的各种智能设备,通过识别物理空间中的标识物触发AR应用,从而实现茶疗养生信息及时推送,实现现实场景与虚拟信息之间的交互,从而达到信息补充连贯及情景增强效果,使用户构建起茶疗养生的整体观念。通过解析茶疗养生文旅产业的研发思路,丰富茶疗养生信息体系的承载维度,探索实现茶疗养生文旅产业迭代的新途径。

基于关键帧与时空特征融合的人脸伪造检测

基于深度学习的人脸真伪检测是一个典型的二分类问题,模型训练结果的精度不仅受到训练数据质和量的影响,还与训练策略、网络架构设计等有关。以光流法为基础,提出了一种基于关键帧与时空特征融合的人脸伪造检测方法。首先,采用加权光流能量阈值分析法筛选出视频中能量较大的关键帧,将关键帧的光流和LBP纹理特征进行融合,构成具有时间和空间特性的融合特征图,经过增强处理后输入CNN模型进行学习。在FaceForensics++和Celeb-df数据集上的测试表明,所提算法的检测率较传统算法均有明显提升。跨库实验中,所提算法采用Efficientnet-V2结构在FaceForensics++数据集上表现出最优的跨库检测性能,准确率达到90.1%,XceptionNet结构的整体性能优于其他方法,准确率均达到80%以上,具有优越的泛化性能。

增层框架-摇摆墙体系抗震性能研究

目的基于既有建筑的结构无法满足使用需求现状,通过质量调节及变形模式控制实现结构自振周期延长与损伤可控。方法提出增层框架-摇摆墙体系,对该结构进行理论分析,研究增层对整体结构地震效应的影响机理;利用SAP2000平台建立五个有限元模型,基于规范反应谱开展参数敏感性、静力弹塑性和动力弹塑性分析;并在此基础上,提出摇摆墙简化力学模型。结果增层的质量及高度对整体结构地震作用影响显著;与原框架相比,增层后结构基本自振周期最大延长31.7%,最大弹塑性极限位移响应降低11.5%,最大位移角响应降低20.2%,结构变形不均匀性降低22.0%;与框架-摇摆墙相比,增层后摇摆墙弯矩在弹塑性极限状态下降低33.9%。结论合理设置增层框架-摇摆墙可以小幅降低结构整体地震作用,减小结构地震响应,对结构变形模式可实现有效控制;所建立的摇摆墙简化力学模型可合理反应地震作用下墙体弯矩分布,并使设计偏于安全。

既有框架结构的新型等效简化动力模型构建方法

为了实现对长期服役后的结构在地震、风等动荷载作用下安全性和舒适性的评估,利用监/检测数据建立一个能准确反映实际建筑在地震、风等动荷载作用下动力响应的结构动力学模型至关重要。本文针对非常普遍的框架建筑结构,提出了一种基于少量移动传感器的框架结构等效简化动力学模型构建方法。首先,提出建筑结构等效简化模型构建的层间剪力等效原理,证明了以该原理构建的简化模型具备准确模拟实际建筑结构动力响应的能力。其次,推导了框架结构简化模型形式,并研究了简化模型参数特点。然后,提出了一种框架结构简化模型参数的迭代识别方法,实现了仅使用少量无线移动传感器的简化模型参数识别。最后,通过一个12层3跨钢框架结构数值模拟算例,研究了在不预知结构刚度退化的具体形式和仅使用少量移动加速度传感器的条件下,由本文所提方法构建的等效简化模型对实际框架结构在不同水平动荷载作用下结构动力响应的预测能力。数值试验结果表明,等效简化模型能准确模拟不同荷载工况下框架结构加速度和位移响应。因此,本文提出的框架结构等效简化模型构建方法将在评估既有框架结构在风、地震等动荷载作用下的结构安全性和舒适性方面具有重要的应用前景。

某斜置尾翼弹箭气动特性数值仿真分析

运用CFD软件对某斜置尾翼弹箭的气动特性进行了数值模拟,采用分区划分网格方式,选用Realizable k-ε湍流模型,采用基于动参考系模型的准定常方法求解旋转域流场,得到弹箭的气动特性参数。计算结果表明,滚转状态下弹箭的阻力系数、升力系数、俯仰力矩系数小于非滚转下求解的值,但受转速大小影响较小,而侧向力系数正好相反;在滚转状态下,阻力系数、升力系数、俯仰力矩系数、导转力矩系数、极阻尼力矩系数导数等随攻角绝对值增大而增大,而侧向力系数和滚转力矩系数受攻角影响较小。通过弹道分析和实测结果对比可知,新型斜置尾翼弹箭气动特性数值模拟方法合理可行,具有一定的参考价值。

基于应变测试矿用汽车车架结构优化设计分析

矿用铰接车采用液压举升机构实现货物卸载,受力情况复杂,对车架结构影响大且要求高。针对某自卸车后车架和货箱在不同运行条件下的承载特性进行分析,获取各工况的载荷情况和边界条件;根据前述分析,建立后车架和货箱的有限元分析模型,选取多个典型工况开展分析,获取应力应变的分布情况;采用材料升级、圆角优化及焊接工艺提升等,针对应力集中和较大位置进行优化设计,降低应力值,保证安全裕度满足要求;采用直角应变测试法,针对实际自卸车车架开展应力测试,在分析的关键位置布置应变片,选取典型工况开展测试,并与仿真结果开展对比。结果可知:自卸车铰接点和液压举升缸鹅颈支撑处应力较大,并且出现了应力集中,但均在许可范围之内;采用厚度提升、直径增大及焊接工艺提升等方法,有效提升应力分布,最大值明显降低;实车测试和仿真分析,满载工况应力分布基本一致,最大值误差低于5.8%;优化后结果明显低于优化前;结果表明分析模型和优化方法的可靠性,为此类分析设计提供参考。

低可见度环境下基于改进YOLOv3的井下人员定位方法

煤矿井下光照不足、粉尘遮挡,井下视频监控系统采集的人员目标在二维图像中表现为小目标或低可见度目标时,原始YOLOv3网络的Darknet53特征金字塔结构无法充分提取和保留目标的细节信息,导致定位结果不准确。针对上述问题,提出了一种低可见度环境下基于改进YOLOv3的井下人员定位方法。首先,结合β函数映射和帧间信息增强技术,提升低可见度环境下煤矿井下监控视频的清晰度。然后,采用更轻量级的Darknet-19替代YOLOv3中的Darknet53,并引入CIoU作为损失函数,利用改进YOLOv3识别增强后视频中的井下人员目标。最后,基于映射模型将识别到的目标从二维空间投影至三维空间,结合三维定位结果完成井下人员定位。选用某煤矿一段低可见度环境下井下监控视频进行实验,结果表明:①经过基于改进YOLOv3的井下人员定位方法处理后的视频帧亮度、可见度和各项评价指标(平均灰度、平均对比度、信息熵与灰度谱带宽)较原始视频均有明显提升,整体光照条件得到显著改善,且处理后的视频帧对比度得到增强,目标和背景之间更易区分,证明了采用的图像增强技术的有效性。②改进YOLOv3模型能准确识别视频帧中的井下工作人员,不存在漏识别问题。③采用已知位置的标定物或人工标注的的真实三维位置作为基准,计算投影结果与真实位置之间的偏差(偏差计算涵盖X,Y,Z方向上的距离偏差),其中X方向和Y方向上的偏差均小于0.2 m,Z方向上的偏差小于0.002 m,表明构建的映射模型的映射效果好且定位精度较高。

“大学英语B”移动学习实证研究——基于FRAME模型的设计与开发

随着信息技术的发展,移动学习越来越受到各级各类教育和培训机构的青睐。众多机构和院校纷纷设立项目开展研究,但这些研究要么尚局限于大学的普适技术实验室,要么在学校中被看作是课堂学习的补充,即使是在电大系统中也大多当作信息交流和日常管理的平台。本研究以电大系统广泛采用的蓝卓校园网为平台,以北京广播电视大学五所分校的100名本科学生为研究对象,采用手机彩信(MMS)方式为试点学生发送教育部统考"大学英语B"微型课件。本研究以FRAME移动学习分析模型为出发点,在实验前期对学习对象、教学设计、内容呈现等方面做了充分调研。经过一个学期的试点后,从实验效果、学习者认可度和对下一步实验的意见、建议等方面实施了调查问卷和访谈。研究结果表明,与控制组学生相比,实验组学生考试通过率大幅度提升,绝大部分成人学习者对这种学习方式持欢迎态度,并对扩大试点范围和内容针对性等方面提出了建议。由于该研究是基于教学实践的实证研究,将对以后移动学习的普及乃至泛在学习的未来发展提供案例参考。

近海大气环境下RC框架结构时变地震易损性分析

由于近海大气环境中存在的氯离子会侵蚀RC框架结构,造成材料性能不断劣化,最终降低了RC框架结构的抗震性能。为研究近海大气环境下RC框架结构地震损伤风险变化规律,基于钢筋均匀锈蚀模型及混凝土开裂前后钢筋锈蚀速率的变化规律,提出了一种改进的钢筋锈蚀率概率模型,并构建材料性能劣化模型。在此基础上,根据解析易损性分析理论,建立考虑氯离子侵蚀的近海大气环境RC框架结构时变易损性分析方法,并构建典型结构,分析不同损伤状态下的时变易损性曲线,评估其时变易损性与损伤状态。研究结果表明:当地震动强度指标取值相同时,各损伤状态结构在服役龄期内的地震易损性呈现出非线性增大趋势,抗震性能不断退化;以易损性指数作为结构损伤指标时,按照我国规范设计的RC框架结构,在30 a服役龄期内能够满足我国三性能抗震设防水准。