卫星运行三维场景及星下点轨迹可视化研究

应用可视化技术构造卫星运行的虚拟场景,实时显示卫星运行状态及星下点轨迹,可为卫星轨道设计、卫星运行状态监控及卫星应用提供直观的分析和指导。通过对卫星轨道计算方法、几何建模、虚拟场景装配及虚拟场景驱动方法研究,本文开发了卫星运行三维场景及星下点轨迹可视化软件。本文详细给出了地球模型、卫星模型的建模及由此模型组装卫星运行场景的方法,卫星轨道计算及星下点轨迹可视化方法。该软件可实时模拟卫星在太空中的运行场景,给出卫星的即时经纬度坐标及星下点位置坐标。该软件已在实践中得到应用。     

立式钻铣床动力头设计与三维造型

多工位钻铣床实现了一台机床对一个零件做不同加工的功能,节省了机床,也缩小了占地面积,同时提高了加工精度和生产率,对工人劳动强度也降低很多。本设计中,钻头的固定采用拉杆式楔形固定,钻头采用套筒及主轴轴面为拉杆的结构,套筒外侧用绝缘胶固定了一个支撑架,钻头的动力由同步齿形带传递到钻头,比起万向轴传递动力要准确且刚性好。动力采用行星轮的传递方式,保证了各工位的同步工作,节省空间,本机构紧凑,各啮合齿轮之间中心距不超过100 mm,因而,用齿轮传动可以满足要求,这样可以用标准件对机床快速装配完工,对缩短加工周期有很大好处。     

强度传输方程和神经网络融合的三维重构算法

针对原有强度传输方程法所恢复的相位精度不够精确的缺点,提出强度传输方程和神经网络融合的三维重构算法. 利用强度传输方程求解出物体不同角度的初始相位,利用神经网络算法进行优化,根据不同角度的最终恢复相位结合乘法技术重构出三维体信息. 该算法具有精度高的特点,可以为三维成像技术的应用提供参考. 对于实验中的示例图像,该算法将强度传输方程得到的相位误差从21.40%降低为5.26%,重构三维物体与模拟真实物体的相关程度为显著相关.     

一种高动态范围图像可视化算法*

提出的自适应HDR图像可视化算法中,输入图像被分解为基本层和细节层.该算法将整体明暗效果的显示看做整体问题,对表示亮度的基本层采用基于整体统计信息的直方图调整算法处理;可视细节信息的保持作为局部问题,算法采用自适应细节增强算法处理细节层.通过定义映射图对细节增强后的图像进行最终映射,将两方面结合起来得到最终结果.实验结果表明,该算法能对HDR图像进行较高视觉质量的显示.     

基于GOS的远程实时可视化系统设计与实现*

提出了一个并行计算程序的远程实时可视化系统.通过实时可视化处理计算程序在计算过程中输出的数据文件,实现了对计算程序计算过程的可视化跟踪和实时分析;同时该系统采用GOS作为网格中间件,屏蔽了复杂的异构环境.     

脱硫废水旋转喷雾蒸发特性实验研究

脱硫废水旋转喷雾干燥技术是一种利用热烟气蒸发脱硫废水的零排放技术。开展了不同悬浮物（SS）含量的脱硫废水原水以及经浓缩的高盐废水的蒸发实验,采用可视化手段观察了脱硫废水在干燥塔内的蒸发特性,考察了脱硫废水喷雾蒸发过程中停留时间、进口烟气温度、气液比对蒸发特性的影响。结果表明,旋转喷雾蒸发工艺对高盐、高SS含量等复杂脱硫废水组分具有较佳的适应性;脱硫废水从旋转雾化器喷出后迅速蒸发,主蒸发区在雾化盘下方0.75~1.00 m区域内;随后是蒸发析出的未干盐分及未完全蒸发的废水液滴进一步蒸干至含水率低于2 %;烟气在喷雾干燥塔内的停留时间需要维持在20 s以上才能保证塔出口灰分含水率低于2 %;入口烟气温度越高,其塔底及塔出口的灰分含水率越低,在气液比为12 000 m³/m³（标准状态）的废水工况下,入口烟温为280 ℃时已经难以保证废水液滴良好蒸发;在入口烟气温度为340 ℃、气液比大于10 000 m³/m³（标准状态）时,塔底灰分含水率小于2%,蒸发效果良好。     

Trace Identification and Visualization of Multiple Benzimidazole Pesticide Residues on Toona sinensis Leaves Using Terahertz Imaging Combined with Deep Learning

Molecular spectroscopy has been widely used to identify pesticides. The main limitation of this approach is the difficulty of identifying pesticides with similar molecular structures. When these pesticide residues are in trace and mixed states in plants, it poses great challenges for practical identification. This study proposed a state-of-the-art method for the rapid identification of trace (10 mg·L⁻¹) and multiple similar benzimidazole pesticide residues on the surface of Toona sinensis leaves, mainly including benzoyl (BNL), carbendazim (BCM), thiabendazole (TBZ), and their mixtures. The new method combines high-throughput terahertz (THz) imaging technology with a deep learning framework. To further improve the model reliability beyond the THz fingerprint peaks (BNL: 0.70, 1.07, 2.20 THz; BCM: 1.16, 1.35, 2.32 THz; TBZ: 0.92, 1.24, 1.66, 1.95, 2.58 THz), we extracted the absorption spectra in frequencies of 0.2–2.2 THz from images as the input to the deep convolution neural network (DCNN). Compared with fuzzy Sammon clustering and four back-propagation neural network (BPNN) models (TrainCGB, TrainCGF, TrainCGP, and TrainRP), DCNN achieved the highest prediction accuracies of 100%, 94.51%, 96.26%, 94.64%, 98.81%, 94.90%, 96.17%, and 96.99% for the control check group, BNL, BCM, TBZ, BNL + BCM, BNL + TBZ, BCM + TBZ, and BNL + BCM + TBZ, respectively. Taking advantage of THz imaging and DCNN, the image visualization of pesticide distribution and residue types on leaves was realized simultaneously. The results demonstrated that THz imaging and deep learning can be potentially adopted for rapid-sensing detection of trace multi-residues on leaf surfaces, which is of great significance for agriculture and food safety.     

Visualizing Extracellular Vesicles and Their Function in 3D Tumor Microenvironment Models

Extracellular vesicles (EVs) are cell-derived nanostructures that mediate intercellular communication by delivering complex signals in normal tissues and cancer. The cellular coordination required for tumor development and maintenance is mediated, in part, through EV transport of molecular cargo to resident and distant cells. Most studies on EV-mediated signaling have been performed in two-dimensional (2D) monolayer cell cultures, largely because of their simplicity and high-throughput screening capacity. Three-dimensional (3D) cell cultures can be used to study cell-to-cell and cell-to-matrix interactions, enabling the study of EV-mediated cellular communication. 3D cultures may best model the role of EVs in formation of the tumor microenvironment (TME) and cancer cell-stromal interactions that sustain tumor growth. In this review, we discuss EV biology in 3D culture correlates of the TME. This includes EV communication between cell types of the TME, differences in EV biogenesis and signaling associated with differing scaffold choices and in scaffold-free 3D cultures and cultivation of the premetastatic niche. An understanding of EV biogenesis and signaling within a 3D TME will improve culture correlates of oncogenesis, enable molecular control of the TME and aid development of drug delivery tools based on EV-mediated signaling.     

亚磷酸三苯酯在A3钢表面成膜特点和结构

用扫描电镜(SEM)分析了亚磷酸三苯酯在A3钢表面所 成膜的微观形貌特征.结果表明：亚磷酸三苯酯在A3钢表面所成的膜具有三维结构.经 红 外光谱(IR)指认亚磷酸三苯酯与铁离子在A3钢表面形成配合物，由此推断了配位化合物的可 能结构.     

铝液充型过程计算机可视化技术研究

采用透明的耐高温石英玻璃观察窗,观察和记录铝液充型过程的图像信息,分析铝液的充型过程;以图像处理技术和计算机技术为基础,通过充型过程铝液自由表面的边缘检测及提取技术,获取液体充型的自由表面曲线,定量分析铝液充型过程的自由表面变化;定量分析的试验结果表明,铝液实际充型过程自由表面的变化对浇注系统设计的合理性具有一定的指导意义.