Material driven workability simulation by FEM including 3D processing maps for magnesium alloy

The three-dimensional （3D） processing maps considering strain based on the two-dimensional （2D） processing maps proposed by PRASAD can describe the distribution of the efficiency of power dissipation and flow instability regions at various temperatures, strain rates and strains, which exhibit intrinsic workability related to material itself. Finite element （FE） simulation can obtain the distribution of strain, strain rate, temperature and die filling status, which indicates state-of-stress （SOS） workability decided by die shape and different processing conditions. On the basis of this, a new material driven analysis method for hot deformation was put forward by the combination of FE simulation with 3D processing maps, which can demonstrate material workability of the entire hot deformation process including SOS workability and intrinsic workability. The hot forging process for hard-to-work metal magnesium alloy was studied, and the 3D thermomechanical FE simulation including 3D processing maps of complex hot forging spur bevel gear was first conducted. The hot forging experiments were carried out. The results show that the new method is reasonable and suitable to determine the aoorooriate nrocess narameters.

3DV quality model based depth maps for view synthesis in FTV system

Depth maps are used for synthesis virtual view in free-viewpoint television （FTV） systems. When depth maps are derived using existing depth estimation methods, the depth distortions will cause undesirable artifacts in the synthesized views. To solve this problem, a 3D video quality model base depth maps （D-3DV） for virtual view synthesis and depth map coding in the FTV applications is proposed. First, the relationships between distortions in coded depth map and rendered view are derived. Then, a precisely 3DV quality model based depth characteristics is develop for the synthesized virtual views. Finally, based on D-3DV model, a multilateral filtering is applied as a pre-processed filter to reduce rendering artifacts. The experimental results evaluated by objective and subjective methods indicate that the proposed D-3DV model can reduce bit-rate of depth coding and achieve better rendering quality.

An Improved High Precision 3D Semantic Mapping of Indoor Scenes from RGB-D Images

This paper proposes an improved high-precision 3D semantic mapping method for indoor scenes using RGB-D images.The current semantic mapping algorithms suffer from low semantic annotation accuracy and insufficient real-time performance.To address these issues,we first adopt the Elastic Fusion algorithm to select key frames from indoor environment image sequences captured by the Kinect sensor and construct the indoor environment space model.Then,an indoor RGB-D image semantic segmentation network is proposed,which uses multi-scale feature fusion to quickly and accurately obtain object labeling information at the pixel level of the spatial point cloud model.Finally,Bayesian updating is used to conduct incremental semantic label fusion on the established spatial point cloud model.We also employ dense conditional random fields(CRF)to optimize the 3D semantic map model,resulting in a high-precision spatial semantic map of indoor scenes.Experimental results show that the proposed semantic mapping system can process image sequences collected by RGB-D sensors in real-time and output accurate semantic segmentation results of indoor scene images and the current local spatial semantic map.Finally,it constructs a globally consistent high-precision indoor scenes 3D semantic map.

3D Mapping在媒体中的应用现状及发展趋势

3D Mapping是当今极具发展前景的裸眼3D表现形式之一,3D Mapping技术的运用,改变了传统二维艺术表现形式,它以新的视觉语言创造出不一样的动画视觉体验效果和艺术感受。本文通过分析目前3D Mapping技术在媒体中的应用现状、媒体应用中的突出特点与不足之处以及3DMapping在艺术创作中思维方式的转变,探讨了未来发展趋势。以求在未来应用中,为我们的艺术创作与发展有所启发。

基于某商业办公楼外立面户外投影(3D MAPPING)中的应用分析

城市亮化又叫城市光彩工程。可以极大地提高城市的整体形象,夜晚城市照亮了,很多人可以出来玩耍、购物、休闲,这也会拉动整个城市的经济发展。其目标在于解读城市与人文的关系,展现城市存在文化性的价值,创造一种形象,彰显城市的个性、利用灯光结合投影实现城市形象语言的吸引力。本文从某商业办公楼外立面户外投影工程项目实践中出发,去探析户外投影在未来智能建筑与智慧城市发展中的具体设计应用,以及户外建筑投影(3D MAPPING)未来的发展趋势。

Map3D在数字化瓦斯地质图中的应用研究

瓦斯地质图是指导煤矿瓦斯治理的最重要的基础和技术,它还是瓦斯地质成果的具体体现。编绘瓦斯地质图是一项很重要的工作,文章以AutoCAD Map3D软件在某煤矿数字化瓦斯地质图的应用为例,分别演示数据库、信息查询和缓冲区分析等方面功能,从而体现了Map3D在数字化瓦斯地质图方面的优势。

基于Map3D的规划图斑数据转换为系统数据的方法

规划数据中的图斑多是以Auto CAD中的填充对象(Hatch)来表示的,这些填充对象无法直接转换为shp数据。本文讨论了基于Map3D平台将规划图斑数据转换为shp的方法,并对转换过程中出现的各种问题提出了相应的解决办法。

基于Map 3D的洪水演进可视化系统设计与实现

以AutoCAD Map 3D2011为基础平台,选择面向对象的ActiveX/VBA接口编程技术进行二次开发,设计并实现了洪水演进可视化系统,取得了较好的可视化效果,文章主要介绍了可视化系统的三个主要组成部分,即Ribbon风格的菜单订制及交互窗体的设计;基于二维浅水方程,采用有限体积法的计算模块编程;利用GIS数据和CAD图元结合显示方法的显示模块编程。

Location estimation of autonomous driving robot and 3D tunnel mapping in underground mines using pattern matched LiDAR sequential images

In this study,a machine vision-based pattern matching technique was applied to estimate the location of an autonomous driving robot and perform 3D tunnel mapping in an underground mine environment.The autonomous driving robot continuously detects the wall of the tunnel in the horizontal direction using the light detection and ranging(Li DAR)sensor and performs pattern matching by recognizing the shape of the tunnel wall.The proposed method was designed to measure the heading of the robot by fusion with the inertial measurement units sensor according to the pattern matching accuracy;it is combined with the encoder sensor to estimate the location of the robot.In addition,when the robot is driving,the vertical direction of the underground mine is scanned through the vertical Li DAR sensor and stacked to create a 3D map of the underground mine.The performance of the proposed method was superior to that of previous studies;the mean absolute error achieved was 0.08 m for the X-Y axes.A root mean square error of 0.05 m^(2)was achieved by comparing the tunnel section maps that were created by the autonomous driving robot to those of manual surveying.

Three-dimensional diabetic macular edema thickness maps based on fluid segmentation and fovea detection using deep learning

AIM: To explore a more accurate quantifying diagnosis method of diabetic macular edema(DME) by displaying detailed 3D morphometry beyond the gold-standard quantification indicator-central retinal thickness(CRT) and apply it in follow-up of DME patients.METHODS: Optical coherence tomography(OCT) scans of 229 eyes from 160 patients were collected.We manually annotated cystoid macular edema(CME), subretinal fluid(SRF) and fovea as ground truths.Deep convolution neural networks(DCNNs) were constructed including U-Net, sASPP, HRNetV2-W48, and HRNetV2-W48+Object-Contextual Representation(OCR) for fluid(CME+SRF) segmentation and fovea detection respectively, based on which the thickness maps of CME, SRF and retina were generated and divided by Early Treatment Diabetic Retinopathy Study(ETDRS) grid.RESULTS: In fluid segmentation, with the best DCNN constructed and loss function, the dice similarity coefficients(DSC) of segmentation reached 0.78(CME), 0.82(SRF), and 0.95(retina).In fovea detection, the average deviation between the predicted fovea and the ground truth reached 145.7±117.8 μm.The generated macular edema thickness maps are able to discover center-involved DME by intuitive morphometry and fluid volume, which is ignored by the traditional definition of CRT>250 μm.Thickness maps could also help to discover fluid above or below the fovea center ignored or underestimated by a single OCT B-scan.CONCLUSION: Compared to the traditional unidimensional indicator-CRT, 3D macular edema thickness maps are able to display more intuitive morphometry and detailed statistics of DME, supporting more accurate diagnoses and follow-up of DME patients.

基于AutoCAD Map3D和FME图库一体化在地图制图职业技能竞赛中的应用

根据湖北省第三届测绘地理信息行业职业技能竞赛选拔赛的要求,利用武汉市测绘研究院基于AutoCAD Map3D开发的制图与符号化程序及FME组成的图库一体化作业平台,按照竞赛要求进行要素代码的整理与匹配,并对制图与符号化程序进行相应的修改和优化,使该作业平台符合竞赛要求,并顺利提交建库数据和制图数据成果,达到竞赛目标。

基于Autodesk Map3D土地勘测定界图库一体化系统的设计与实现

针对目前勘测定界数据处理自动化程度不高这一问题,在Autodesk Map3D平台下进行土地勘测定界图库一体系统的开发。创建了勘界图库一体化的数据组织形式,建立了勘界图库一体化数据处理流程,搭建了勘测定界智能化处理平台,实现了勘测定界土地分类面积自动统计、权属要素自动符号化、图廓自动整饰以及勘界报告自动输出等。

浅析3D Mapping动画的叙事空间设计语言特征

该文作者按照叙事空间的分类与定义,从语义分析到内涵解读,梳理并对3D Mapping动画中涉及的空间概念进行分类,从故事空间、存在空间、形式空间以及心理空间四个维度分析3D Mapping动画作品,得出对应的设计语言特征。梳理、研究3D Mapping动画的案例,不仅可以探究其叙事表象下的设计创作本质,而且可以为3D Mapping动画创作提供理论依据。

3D Non-Fluoroscopic Cryoablation of Right-Sided Accessory Pathways in Children:Monocentric Study and Literature Review

Background:Cryoablation of accessory pathways(APs)is effective and very safe in children,as previously reported by our group.The aim of this retrospective study was to evaluate the current efficacy of 3D non-fluoroscopic cryoablation of right sided APs in children,comparing results obtained with the Ensite VelocityTM and the more recent Ensite PrecisionTM 3D mapping systems.Methods and Results:From January 2016 to December 2019,102 pediatric patients[mean age 12.5±2.8,62 males(61%of total cohort)]with right APs underwent 3D non-fluoroscopic transcatheter cryoablation at our Institution.Fifteen(14.7%)patients had previously undergone catheter ablation.Acute procedural success rate was 95.1%(n=97).No significant differences were detected in acute success rates achieved with Ensite Velocity^(TM)or Ensite PrecisionTM systems nor between manifest(94%)and concealed APs(100%).No permanent complications occurred.During follow-up(428±286 days,median 396 days[interquartile range 179-713]),19 patients(19.6%)had recurrences.Recurrences were more frequent for parahissian/anterior APs compared to midseptal/posterior and lateral APs(p=0.043).Recurrences were not related to the Ensite system used.A redo ablation procedure was attempted in 13 cases,11 cryoablation and 2 radiofrequency ablations:the former was successful in 10 cases out of 11(90.9%).Conclusion:3D cryoablation of right-sided APs is associated with a very high acute success rate with limited use of fluoroscopy,resulting in great benefit to the children.Recurrence rates are not high and patients can be retreated with cryo-energy with higher success rates.

利用WGS84-AW3D30 DSM data map表面模型数据作西安80或国家2000大地坐标系统的地形图技术探讨

针对日常野外测绘及地形图绘制过程中存在的各种问题,本文提供了一种快速、简洁的地形图绘制方法,即利用现成的网络上得到的数据通过一系列的坐标系统转换过程得到工作所需的数据,并完成地形图绘制,为地形图绘制提供了一种新的思路。

基于AutoCAD Map3D的数据集查询方法的研究

在批量处理DWG数据文件的时候,有时我们需要按照一定的属性或空间位置提取分析部分要素,传统的方法一般采用通过脚本文本打开每幅图然后通过建立选择集进行处理,或者全图遍历,然后根据要素属性查找符合条件的要素。这两种方法在实际应用中都存在一定的弊端,本文讨论了基于Autodesk Map3D平台,通过数据集查询的方式快速获取目标数据的方法。

Civil 3D在水利水电工程施工总布置中的创新应用

水利水电工程施工总布置需全面系统的比较论证,统筹规划为工程服务的各项临建设施、场地和道路,基于Civil 3D软件的施工总布置设计创新型应用方案,可将跨专业、跨软件平台、跨领域的输入接口数据文件高度汇总集成于AutoCAD环境中,重叠比对、交叉分析,继而快速实现枢纽布置及施工规划。极大的降低了相关专业之间的协调难度,极大的提高了输出产品的质量与效率,有较大的实用意义与较广的应用前景。

ArthroNet:a monocular depth estimation technique with 3D segmented maps for knee arthroscopy

Background Lack of depth perception from medical imaging systems is one of the long-standing technological limitations of minimally invasive surgeries.The ability to visualize anatomical structures in 3D can improve conventional arthroscopic surgeries,as a full 3D semantic representation of the surgical site can directly improve surgeons’ability.It also brings the possibility of intraoperative image registration with preoperative clinical records for the development of semi-autonomous,and fully autonomous platforms.This study aimed to present a novel monocular depth prediction model to infer depth maps from a single-color arthroscopic video frame.Methods We applied a novel technique that provides the ability to combine both supervised and self-supervised loss terms and thus eliminate the drawback of each technique.It enabled the estimation of edge-preserving depth maps from a single untextured arthroscopic frame.The proposed image acquisition technique projected artificial textures on the surface to improve the quality of disparity maps from stereo images.Moreover,following the integration of the attention-ware multi-scale feature extraction technique along with scene global contextual constraints and multiscale depth fusion,the model could predict reliable and accurate tissue depth of the surgical sites that complies with scene geometry.Results A total of 4,128 stereo frames from a knee phantom were used to train a network,and during the pre-trained stage,the network learned disparity maps from the stereo images.The fine-tuned training phase uses 12,695 knee arthroscopic stereo frames from cadaver experiments along with their corresponding coarse disparity maps obtained from the stereo matching technique.In a supervised fashion,the network learns the left image to the disparity map transformation process,whereas the self-supervised loss term refines the coarse depth map by minimizing reprojection,gradients,and structural dissimilarity loss.Together,our method produces high-quality 3D maps with minimum re-projection loss that are 0.0004132(structural similarity index),0.00036120156(L1 error distance)and 6.591908×10^(−5)(L1 gradient error distance).Conclusion Machine learning techniques for monocular depth prediction is studied to infer accurate depth maps from a single-color arthroscopic video frame.Moreover,the study integrates segmentation model hence,3D segmented maps are inferred that provides extended perception ability and tissue awareness.

MAP7D3在头颈部鳞状细胞癌中的作用探讨

目的:利用生物信息学方法探讨MAP7D3在头颈部鳞癌(HNSCC)中的表达水平、诊断及预测预后价值,初步探索MAP7D3表达水平改变对HNSCC细胞系生物学行为的影响。方法:利用生物信息学方法,在HNSCC中对MAP7D3进行表达分析、临床病理特征相关性分析、生存分析、Cox回归分析、ROC曲线分析及基因集富集分析。使用qRT-PCR、免疫组织化学染色法检测MAP7D3在HNSCC细胞系(WSU-HN6、CAL27)及癌组织中的表达。通过转染siRNA敲低MAP7D3的表达,利用qRT-PCR验证MAP7D3的敲低效果,应用CCK-8、流式凋亡实验、划痕实验、Transwell实验检测MAP7D3表达对WSU-HN6和CAL27增殖、凋亡、迁移、侵袭等生物学行为的影响。结果:生物信息学分析、qRT-PCR及免疫组织化学染色表明,在HNSCC中,MAP7D3 mRNA及蛋白质水平均呈高表达。临床相关性分析发现,MAP7D3的表达水平与病理分级相关。与MAP7D3低表达患者相比,MAP7D3高表达患者总体生存期、疾病别生存期及无进展间隔期均更短。单因素及多因素Cox回归分析显示,MAP7D3可作为HNSCC患者预后的独立危险因素。ROC曲线显示,MAP7D3在HNSCC的诊断中具有一定意义。根据GSEA分析结果,MAP7D3高表达组在包括局灶黏附、ECM-受体间相互作用的多条途径中富集。CCK-8、流式凋亡实验、划痕实验及Transwell侵袭实验表明,当MAP7D3表达下调时,细胞增殖、迁移和侵袭能力均受到抑制,细胞凋亡增加。结论:MAP7D3在头颈部鳞癌中高表达,可作为头颈部鳞癌潜在的诊断及预后生物标志物。敲低MAP7D3,能抑制头颈部鳞癌细胞增殖、迁移、侵袭,促进细胞凋亡。

Efficient Hardware Design of a Secure Cancellable Biometric Cryptosystem

Biometric security is a growing trend,as it supports the authentication of persons using confidential biometric data.Most of the transmitted data in multi-media systems are susceptible to attacks,which affect the security of these sys-tems.Biometric systems provide sufficient protection and privacy for users.The recently-introduced cancellable biometric recognition systems have not been investigated in the presence of different types of attacks.In addition,they have not been studied on different and large biometric datasets.Another point that deserves consideration is the hardware implementation of cancellable biometric recognition systems.This paper presents a suggested hybrid cancellable biometric recognition system based on a 3D chaotic cryptosystem.The rationale behind the utilization of the 3D chaotic cryptosystem is to guarantee strong encryption of biometric templates,and hence enhance the security and privacy of users.The suggested cryptosystem adds significant permutation and diffusion to the encrypted biometric templates.We introduce some sort of attack analysis in this paper to prove the robustness of the proposed cryptosystem against attacks.In addition,a Field Programmable Gate Array(FPGA)implementation of the pro-posed system is introduced.The obtained results with the proposed cryptosystem are compared with those of the traditional encryption schemes,such as Double Random Phase Encoding(DRPE)to reveal superiority,and hence high recogni-tion performance of the proposed cancellable biometric recognition system.The obtained results prove that the proposed cryptosystem enhances the security and leads to better efficiency of the cancellable biometric recognition system in the presence of different types of attacks.