Comprehensive Treatment Uncertainty Analysis and PTV Margin Estimation for Fiducial Tracking in Robotic Liver Stereotactic Body Radiation Therapy

Objective This study aims to quantify the uncertainties of CyberKnife Synchrony fiducial tracking for liver stereotactic body radiation therapy(SBRT)cases,and evaluate the required planning target volume(PTV)margins.Methods A total of 11 liver tumor patients with a total of 57 fractions,who underwent SBRT with synchronous fiducial tracking,were enrolled for the present study.The correlation/prediction model error,geometric error,and beam targeting error were quantified to determine the patient-level and fraction-level individual composite treatment uncertainties.The composite uncertainties and multiple margin recipes were compared for scenarios with and without rotation correction during treatment.Results The correlation model error-related uncertainty was 4.3±1.8,1.4±0.5 and 1.8±0.7 mm in the superior-inferior(SI),left-right,and anterior-posterior directions,respectively.These were the primary contributors among all uncertainty sources.The geometric error significantly increased for treatments without rotation correction.The fraction-level composite uncertainties had a long tail distribution.Furthermore,the generally used 5-mm isotropic margin covered all uncertainties in the left-right and anterior-posterior directions,and only 75%of uncertainties in the SI direction.In order to cover 90%of uncertainties in the SI direction,an 8-mm margin would be needed.For scenarios without rotation correction,additional safety margins should be added,especially in the superior-inferior and anterior-posterior directions.Conclusion The present study revealed that the correlation model error contributes to most of the uncertainties in the results.Most patients/fractions can be covered by a 5-mm margin.Patients with large treatment uncertainties might need a patient-specific margin.

An Analysis Model of Sports Human Body Based on Computer Vision Tracking Technology

This paper proposes the analysis model of sports human body based on computer vision tracking technology. Visual target tracking is an important research field of the computer vision, motion trajectory and it can provide not only the goal, to provide the initial data movement analysis, scene understanding, behavior or the event detection in intelligent surveillance, human-computer interaction, robot visual navigation and motion recognition based on field has a broad application prospect. For this reason, it is possible to consider the use of a large number of unlabeled samples to assist the training classifier to improve its performance. This type of machine learning method using both labeled and that unlabeled samples is called the semi-supervised learning. This paper proposes the novel idea of the related research topics to propose the new perspective of the model that will be later give us the novel idea of making it efficient for further development of sport science.

Human Body Tracking and Pose Estimation Using Modified Camshift Algorithm

In this paper, we propose multiple CAMShift Algorithm based on Kalman filter and weighted search windows that extracts skin color area and tracks several human body parts for real-time human tracking system. The CAMShift Algorithm we propose searches the skin color region by detecting the skin color area from background model. Kalman filter stabilizes the floated search area of CAMShift Algorithm. Each occlusion areas are avoided by using weighted window of non-search areas and main-search area. And shadows are eliminated from background model and intensity of shadow. The proposed modified Camshaft algorithm can estimate human pose in real-time and achieves 96.82% accuracy even in the case of occlusions.

Dynamic Analysis of the Seafloor Pilot Miner Based on Single-Body Vehicle Model and Discretized Track-Terrain Interaction Model

In order to achieve the complex dynamic analysis of the self-propelled seafloor pilot miner moving on the seafloor of extremely cohesive soft soil and further to make it possible to integrate the miner system with some subsystems to form the complete integrated deep ocean mining pilot system and perform dynamic analysis, a new method for the dynamic modeling and analysis of the miner is proposed and developed in this paper, resulting in a simplified 3D single-body vehicle model with three translational and three rotational degrees of freedom, while the track-terrain interaction model is built by partitioning the track-terrain interface into discrete elements with parameterized force dements built on the theory of terramechanics acting on each discrete dement. To evaluate and verify the correctness and effectiveness of this new modeling and analysis method, typical comparative studies with regard to computational efficiency and solution accuracy are carried out between the traditional modeling method of building the tracked vehicle as a multi-body model and the new modeling method. In full consideration of the particMar structure design of the pilot miner, the special characteristics of the seafioor soil and the hydrodynamic force of near-seafloor currnt, the dynamic simulation analysis of the miner is performed and discussed, which can provide useful guidance and reference for the practical miner system in design and operation. This new method can not only realize the rapid dynamic simulation analysis of the miner but also make possible the integration and rapid dynamic analysis of the complete integrated deep ocean mining pilot system in further researches.

Research on Co-simulation with ADAMS and MATLAB for Servo Tracking System Mounted with a Small Arm

Research on a servo tracking system mounted with a small arm for robot fighting platform based on multi-body system dynamics and intelligent control theory is presented.A multi-body dynamic model which can accurately express dynamic performances of the system is built in ADAMS.In addition,an intelligent PID control model is built with MATLAB/Simulink,and the two models are integrated and co-simulated by the interface of ADAMS/Controls.Simulation experiments indicate that co-simulation technique used for design of the servo tracking system mounted with a small arm can effectively improve its design efficiency,and can also provide theoretical bases for the motion control and performance improvement of the servo tracking system mounted with a small arm.

Robust attitude control for rapid multi-target tracking in spacecraft formation flying

A robust attitude tracking control scheme for spacecraft formation flying is presented. The leader spacecraft with a rapid mobile antenna and a camera is modeled. While the camera is tracking the ground target, the antenna is tracking the follower spacecraft. By an angular velocity constraint and an angular constraint, two methods are proposed to compute the reference attitude profiles of the camera and antenna, respectively. To simplify the control design problem, this paper first derives the desired inverse system （DIS）, which can convert the attitude tracking problem of 3D space into the regulator problem. Based on DIS and sliding mode control （SMC）, a robust attitude tracking controller is developed in the presence of mass parameter uncertainties and external disturbance. By Lyapunov stability theory, the closed loop system stability can be achieved. The numerical simulations show that the proposed robust control scheme exhibits significant advantages for the multi-target attitude tracking of a two-spacecraft formation.

Estimation of speed-related car body acceleration limits with quantile regression

Purpose–This study aimed to facilitate a rapid evaluation of track service status and vehicle ride comfort based on car body acceleration.Consequently,a low-cost,data-driven approach was proposed for analyzing speed-related acceleration limits in metro systems.Design/methodology/approach–A portable sensing terminal was developed to realize easy and efficient detection of car body acceleration.Further,field measurements were performed on a 51.95-km metro line.Data from 272 metro sections were tested as a case study,and a quantile regression method was proposed to fit the control limits of the car body acceleration at different speeds using the measured data.Findings–First,the frequency statistics of the measured data in the speed-acceleration dimension indicated that the car body acceleration was primarily concentrated within the constant speed stage,particularly at speeds of 15.4,18.3,and 20.9 m/s.Second,resampling was performed according to the probability density distribution of car body acceleration for different speed domains to achieve data balance.Finally,combined with the traditional linear relationship between speed and acceleration,the statistical relationships between the speed and car body acceleration under different quantiles were determined.We concluded the lateral/vertical quantiles of 0.8989/0.9895,0.9942/0.997,and 0.9998/0.993 as being excellent,good,and qualified control limits,respectively,for the lateral and vertical acceleration of the car body.In addition,regression lines for the speedrelated acceleration limits at other quantiles(0.5,0.75,2s,and 3s)were obtained.Originality/value–The proposed method is expected to serve as a reference for further studies on speedrelated acceleration limits in rail transit systems.

基于DF-Track的水下鱼体跟踪方法

鱼类跟踪是分析鱼类行为、评估其健康水平的关键步骤。然而,由于真实水下养殖鱼群具有运动非线性、高外观相似度、鱼体互相遮挡、特征信息损失严重等特点,多目标跟踪鱼类是一项非常具有挑战性的任务。针对水下鱼体反射产生的伪影以及鱼体运动非线性、相互遮挡导致跟踪轨迹碎片化的问题,提出一种水下多鱼跟踪模型DF-Track。该模型采用基于检测的跟踪(TBD)范式,首先在YOLOv8的C2f结构中引入聚合感知注意力机制(APFA),提高在前向过程中提取图像特征的能力;然后使用SDI多层次特征融合模块对YOLOv8中的feature fusion部分进行重设计,减少特征融合阶段不同层级特征信息的冲突问题;最后提出一种优化轨迹管理的跟踪模型DF-Track,并引入Focal-EIoU补偿匹配空间中的运动估计偏差,平衡几何一致性。实验结果表明:与原YOLOv8相比,所提算法的精确率提高了1.7%,平均精度均值提高了2.1%;DF-Track与其他MOT跟踪算法相比,HOTA达到70.9%,MOTA达到91.9%,IDF1达到80.4%。证明DF-Track模型在水下鱼类跟踪任务中具有较好的性能。

改良Z-Track肌内注射法在体外受精-胚胎移植病人黄体酮注射中的应用

[目的]探讨改良Z-Track肌内注射法在体外受精-胚胎移植(IVF-ET)病人黄体酮注射中的应用效果。[方法]采用前瞻性随机对照研究方法,将纳入研究的122例IVF-ET病人按照随机数字表法分为观察组和对照组各61例。对照组采用常规肌内注射法,观察组根据病人不同体质指数,采用改良Z-Track肌内注射法。比较两组给药7 d内注射部位不良反应发生情况。[结果]观察组局部硬结发生率显著低于对照组,组间比较差异有统计学意义(χ 2=6.917, P <0.05);观察组疼痛程度显著低于对照组,组间比较差异有统计学意义( Z =6.622, P <0.05)。[结论]根据病人不同体质指数,采用改良Z-Track肌内注射法进行黄体酮臀部肌内注射,可有效减少局部不良反应,确保用药安全。

The two-way feedback and passing-way of human body

Two-way feedback of human body was published in 1992. The sensation of two-way feedback of body is a special system of human reaction, which maintains and regulates symmetry and balance of human body. The human two-way feedback reacts to human health. For human overall health and delay decrepitude, it is necessary to pay attention to the stimulations (passive acceptance and initiative interventions) and relevant influences in human body and the stimulative effect. In this paper, the experimental research of stimulation and an example of two-way feedback in human body are given. And lay a foundation of prevention, medical treatment and hygiene of human overall health.

Application of Particle Filter for Vertebral body Extraction: A Simulation Study

Lumbar vertebra motion analysis provides objective measurement of lumbar disorder. The automatic tracking algorithm has been applied to Digitalized Video Fluoroscopy (DVF) sequence. This paper proposes a new Auto-Tracking System (ATS) with a guide device and a motion analysis to automatically measure human lumbar motion. Digitalized Video Fluoroscopy (DVF) sequence was obtained during flexion-extension lumbar movement under guide device. An extraction of human vertebral body and its motion tracking were developed by particle filter. The results showed a good repeatability, reliability and robustness. In model test, the maximum fiducial error is 3.7% and the repeatability error is 1.2% in translation and the maximal repeatability error is 2.6% in rotation angle. In this simulation study, we employed a lumbar model to simulate the motion of lumber flexion- extension with the stepping translation of 1.3 mm and rotation angle of 1&deg;. Results showed that the fiducial error was measured as 1.0%, while the repeatability error was 0.7%. The sequence can be detected even noise contamination as more as 0.5 of the density. The result demonstrates that the data from the auto-tracking algorithm shows a strong correlation with the actual measurement and that the Vertebral Auto-Tracking System (VATS) is highly repetitive. In the human lumbar spine evaluation, the study not only shows the reliability of Auto-Tracking Analysis System (ATAS), but also reveals that it is robust and variable in vivo. The VATS is evaluated by the model, the simulated sequence and the human subject. It could be concluded that the developed system could provide a reliable and robust system to detect spinal motion in future medical application.

带辅助轮摆臂的履带式机器人越障能力分析

履带式移动机器人因具有良好的环境适应性被广泛应用于军事和安全领域。为了改善现有摆臂履带式机器人结构复杂、重量和体积较大等不足,进一步提高其越障能力,提出一种带辅助轮摆臂的履带式移动机器人,设计该机器人的几何模型,分析其越障机理,推导摆臂的正逆运动学方程,分别建立有/无滑移条件下机器人的运动学模型。采用柔性体有限段模型法建立履带的多体动力学仿真模型。通过履带滑转率、机器人主体质心高度,履带与地面接触力及摆轮受力的变化,综合分析该机器人越障时的动力性能。在越阶、爬坡和越沟壑不同工况下,提出的带辅助轮摆臂的履带式机器人表现出良好的越障性能。

差动转向无人车轨迹跟踪和车身姿态控制研究

针对分布式驱动无人车转向时车身在离心力作用下外倾,引起内侧车轮载荷减小,严重时会导致差动转向失效乃至车辆侧翻等问题,提出了一种差动转向无人车的轨迹跟踪和车身姿态控制方法;该控制方法可通过差动转向实现无人车轨迹跟踪,同时通过主动悬架实现转向时车身主动内倾来保证差动转向有效性,提高了无人车的操纵稳定性。建立考虑侧倾因素的车辆模型及参考模型,通过分数阶单点预瞄驾驶员模型得到了参考模型跟踪期望路径所需的参考前轮转角;基于此,设计了H_(∞)鲁棒控制器,通过控制差动转向无人车的横摆角速度和车身内倾角,分别跟踪参考模型提供的参考值,得到了所需的差动力矩及左右侧主动悬架控制力。研究结果表明:所设计的分数阶单点预瞄驾驶员模型和H_(∞)鲁棒控制器能有效保证差动转向无人车实现轨迹跟踪,同时实现了车身姿态控制。

基于深度学习的鱼类跟踪技术研究进展

近年来,水产养殖和渔业资源保护的智能化发展迅速,对鱼类跟踪技术的需求也随之增加。传统的鱼类跟踪方法主要依赖于目视观察和标签追踪,存在效率低、应用范围有限、准确率不高等问题,限制了其推广应用。随着深度学习技术在计算机视觉领域的快速发展,基于深度学习的鱼类跟踪技术能够提供准确、客观、可扩展和自动化的跟踪方法。首先,介绍了鱼类跟踪技术的跟踪对象和4种深度学习鱼类追踪方法,分别是语义分割、实例分割、目标检测和目标分类。其次,介绍了鱼类跟踪技术如何获取鱼类轨迹与姿态、鱼类数量以及鱼类体长等鱼类目标跟踪信息。接着,介绍了基于深度学习的鱼类跟踪技术在鱼类疾病、鱼类摄食行为以及鱼类健康状态方面的应用,并从低对比度和纹理模糊、图像颜色失真以及遮挡和变形等3个方面,探讨了目前基于深度学习的鱼类跟踪技术的主要问题和一些相应的解决方法。最后,对基于深度学习的鱼类跟踪技术的发展前景进行了总结和展望。研究认为:基于深度学习的鱼类跟踪技术具有更高的准确度和客观性,为不同场景下的实际应用提供了更多解决方案,该技术有望在水产养殖管理、鱼类科学研究以及海洋环境保护等领域发挥更重要的作用,为相关领域提供更多的数据和支持。

基于天棚-PID算法的履带车体振动控制研究

随着履带式高炮的快速发展,对行进间车体平稳性提出了更高的要求,因此研究在不同路面下如何减小履带车体振动具有重要意义。在对履带车体进行合理简化的基础,建立拉格朗日运动方程,并引入状态方程进行计算。其次,利用Simulink搭建了履带车体模型,分析了车体在B、D、F级路面下以25 km/h速度行驶时的车体振动情况。然后采用PID控制和天棚-PID控制对模型进行优化。仿真结果表明:从B级、D级到F级路面,传统、PID和天棚-PID控制方式下车体振动的平均增幅分别为5倍、4倍和2倍,天棚-PID控制算法的稳定性较好;在相同等级路面时,采用天棚-PID控制的减振效果明显,车体垂向位移和俯仰角的减缓程度比PID控制提升接近40%,车体横滚角的减缓程度比PID控制提升50%以上。因此,采用天棚-PID控制的履带车体在颠簸路面行驶更加平稳。

视觉跟踪多转子位移测量

针对当前传统振动传感器在测量旋转体位移时受限于安装和测点数量等问题,将高速工业相机作为采集媒介,在转子振动试验台上进行转子振动视频的采集,并利用基于多目标跟踪的视觉振动测量方法跟踪多个转子目标的全场振动位移。将注意力机制引入残差神经网络,结合特征金字塔网络结构建立改进的特征提取骨干网络,并利用身份重新识别方法来强化相邻帧间目标位移的关联性,跟踪旋转体全场振动位移信号。在转子振动位移测量数据集上对不同网络模型进行定性和定量的比较。结果表明,本文构建的网络模型在边界框回归时能够获取更为紧密的贴合度;将采集的电涡流位移信号作为标准量进行两个转子位移信号的对比实验,结果表明,本文多目标跟踪算法拟合的波形和频谱噪声最小,且能与电涡流信号相匹配;在目标对象模糊情况下的实验也证明本文算法所具有的泛化性能,这也体现出视觉测量在旋转体振动位移跟踪领域的工程应用价值。

A unified multi-view multi-person tracking framework

Despite significant developments in 3D multi-view multi-person (3D MM) tracking, current frameworks separately target footprint tracking, or pose tracking. Frameworks designed for the former cannot be used for the latter, because they directly obtain 3D positions on the ground plane via a homography projection, which is inapplicable to 3D poses above the ground. In contrast, frameworks designed for pose tracking generally isolate multi-view and multi-frame associations and may not be sufficiently robust for footprint tracking, which utilizes fewer key points than pose tracking, weakening multi-view association cues in a single frame. This study presents a unified multi-view multi-person tracking framework to bridge the gap between footprint tracking and pose tracking. Without additional modifications, the framework can adopt monocular 2D bounding boxes and 2D poses as its input to produce robust 3D trajectories for multiple persons. Importantly, multi-frame and multi-view information are jointly employed to improve association and triangulation. Our framework is shown to provide state-of-the-art performance on the Campus and Shelf datasets for 3D pose tracking, with comparable results on the WILDTRACK and MMPTRACK datasets for 3D footprint tracking.

基于支重轮-履带-地面多体耦合的履带机器人振动响应研究

构建支重轮-履带-地面多体耦合系统是研究履带机器人行驶平顺性的重要环节。以单侧五支重轮履带机器人为研究对象,在非线性悬挂系统模型以及考虑履带滤波作用的路面激励的基础上,建立了履带机器人振动理论估算模型。然后,基于履带机器人在不同等级路面及不同行驶速度工况下的仿真实验,利用均方根值定量分析了行驶速度、路面激励对机器人车体及其支重轮垂向振动的影响。最后,通过开展外路实验来验证七自由度半车的振动理论估算模型和动力学仿真模型。结果表明:随着行驶速度和路面不平度的提高,履带机器人车体的垂向振动近似呈线性增大,履带对路面激励有滤波作用。履带机器人车体质心及支重轮1,3,5的垂向振动加速度对路面激励最为敏感,车体垂向振动加速度功率谱密度幅值在频率为19 Hz左右时最大。由于支重轮5靠近驱动段,履带与主动轮啮合产生的多边形效应使其垂向振动相对于其他支重轮偏大。理论建模、仿真分析及外路实验相结合的方法为履带机器人在不同路况下的振动响应特性研究提供了新思路。

基于实车试验的大跨度桥梁轨道静态长波高低不平顺验收标准验证

由于温度、施工偏差、二期恒载等因素影响,高速铁路大跨度桥梁成桥线形与设计线形存在较大差异,且矢距差法不适用于大跨度桥梁和地基大面积沉降等区域的轨道线形验收。针对速度为250 km/h的高速铁路有砟轨道大跨度桥梁,基于轨道高低不平顺不同弦测值与车体垂向振动加速度之间的相关性,提出高低不平顺60 m弦测值与车体垂向振动加速度之间的关联关系,进而给出桥上轨道静态高低长波不平顺60 m中点弦测值10 mm的验收限值建议,最后在某主跨为672 m的高速铁路斜拉桥上预设“四峰三谷”形式的轨道高低不平顺并进行实车验证,证明此限值建议的合理性。结果表明:对于速度为250 km/h的高速铁路,车体垂向振动加速度与不平顺60 m弦测值之间呈线性关系;大跨度桥梁温度变形显著,整体表现为桥面高程与温度成反相关关系,但桥梁温度变形主要表现为长波不平顺;预设的60 m余弦波形式的轨道高低不平顺主要影响行车舒适性,对安全性影响较小,且列车速度在275 km/h及以下时,产生的车体垂向振动加速度最大值为0.98 m/s2,舒适性指标最大为2.47,评价为“优秀”,接近优秀/良好分界线。

时速400 km高速列车通过隧道诱发车体横向振动的气动机制研究

为研究列车以更高速度通过双线隧道时,由于列车和隧道形成的几何空间为非对称空间,列车两侧空气非对称流动,隧道内复杂的压力环境作用至车体两侧和列车尾涡引起的车厢两侧压力变化、列车车体表面压力波动与气动力相互关系和车体振动频谱特征,采用三维非定常可压缩流动N-S方程和IDDES湍流模型,建立时速400 km高速列车1∶1的8节编组空气动力学仿真模型,使用重叠网格技术模拟列车与隧道之间的相对运动方法。研究结果表明:1)隧道内行驶的列车在隧道压力波作用下会使车厢两侧出现压差和侧向力幅值的大范围变化,且变化程度由头车向尾车逐渐增大;2)列车在隧道内运行时的尾流区存在1对反向涡旋;3)尾车明线段涡脱落主频率为2.002 Hz,隧道内运行时,涡脱落频率为3.003 Hz;4)列车在明线或隧道内运行,车体气动侧向力和摇头力矩引起的车体振动频率为2.002 Hz。