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期刊论文 25

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关键词

不经意传输；后量子；格公钥；带差错学习；通用可复合 1

人为操作失误 1

人的信息处理模型 1

分级身份加密；格密码；标准模型；差错学习问题；高斯 1

动态状态估计器；卡尔曼滤波；测试误差；支路参数误差；负荷突变 1

协同控制 1

合成孔径雷达（SAR）；顺轨干涉；运动补偿；残余误差；干涉相位 1

四元数傅里叶变换；四元数线性正则变换；采样定理；部分和总体四元数希尔伯特变换；部分和总体广义四元数希尔伯特变换；截断误差 1

大幅面 1

头部姿势估计，密集的多变量标签分布，采样间隔，标签不一致， 1

容错；延时补偿；CAN总线；通信错误；混合动力挖掘机电动回转系统 1

差错 1

差错管理文化 1

并网逆变器；模型预测控制；直接功率控制；三矢量；恒定开关频率；功率误差 1

心理状态 1

拼接误差 1

控制器局域网；报文延时；概率分布；错误 1

施工 1

无线射频感知；人体姿态估计；最优传输；深度学习 1

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Kinematic calibration of precise 6-DOF stewart platform-type positioning systems for radio telescope applications

Juan Carlos JáUREGUI, Eusebio E. HERNáNDEZ, Marco CECCARELLI, Carlos LóPEZ-CAJúN, Alejandro GARCíA

《机械工程前沿（英文）》 2013年第8卷第3期页码 252-260 doi: 10.1007/s11465-013-0249-7

摘要：

The pose accuracy of a parallel robot is a function of the mobile platform posture. Thus, there is no a single value of the robot’s accuracy. In this paper, two novel methods for estimating the accuracy of parallel robots are presented. In the first method, the pose accuracy estimation is calculated by considering the propagation of each error, i.e., error variations are considered as a function of the actuator’s stroke. In the second method, it is considered that each actuator has a constant error at any stroke. Both methods can predict pose accuracy of precise robots at design stages, and/or can reduce calibration time of existing robots. An example of a six degree-of-freedom parallel manipulator is included to show the application of the proposed methods.

关键词： pose errors error estimation parallel robot radio telescopes

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Modeling and simulating the impact of forgetting and communication errors on delays in civil infrastructure

Zhe SUN, Cheng ZHANG, Pingbo TANG

《工程管理前沿（英文）》 2021年第8卷第1期页码 109-121 doi: 10.1007/s42524-019-0084-6

摘要： Handoff processes during civil infrastructure operations are transitions between sequential tasks. Typical handoffs constantly involve cognitive and communication activities among operations personnel, as well as traveling activities. Large civil infrastructures, such as nuclear power plants (NPPs), provide critical services to modern cities but require regular or unexpected shutdowns (i.e., outage) for maintenance. Handoffs during such an outage contain interwoven workflows and communication activities that pose challenges to the cognitive and communication skills of handoff participants and constantly result in delays. Traveling time and changing field conditions bring additional challenges to effective coordination among multiple groups of people. Historical NPP records studied in this research indicate that even meticulous planning that takes six months before each outage could hardly guarantee sufficient back-up plans for handling various unexpected events. Consequently, delays frequently occur in NPP outages and bring significant socioeconomic losses. A synthesis of previous studies on the delay analysis of accelerated maintenance schedules revealed the importance and challenges of handoff modeling. However, existing schedule representation methods could hardly represent the interwoven communication, cognitive, traveling, and working processes of multiple participants collaborating on completing scheduled tasks. Moreover, the lack of formal models that capture how cognitive, waiting, traveling, and communication issues affect outage workflows force managers to rely on personal experiences in diagnosing delays and coordinating multiple teams involved in outages. This study aims to establish formal models through agent-based simulation to support the analytical assessment of outage schedules with full consideration of cognitive and communication factors involved in handoffs within the NPP outage workflows. Simulation results indicate that the proposed handoff modeling can help predict the impact of cognitive and communication issues on delays propagating throughout outage schedules. Moreover, various activities are fully considered, including traveling between workspaces and waiting. Such delay prediction capability paves the path toward predictive and resilience outage control of NPPs.

关键词： NPP outage human error team cognition handoff modeling

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The dynamic correction of collimation errors of CT slicing pictures

LIU Ya-xiong, Sekou Sing-are, LI Di-chen, LU Bing-heng

《机械工程前沿（英文）》 2006年第1卷第2期页码 168-172 doi: 10.1007/s11465-006-0016-0

摘要： To eliminate the motion artifacts of CT images caused by patient motions and other related errors, two kinds of correctors (A type and U type) are proposed to monitor the scanning process and correct the motion artifacts of the original images via reverse geometrical transformation such as reverse scaling, moving, rotating and offsetting. The results confirm that the correction method with any of the correctors can improve the accuracy and reliability of CT images, which facilitates in eliminating or decreasing the motion artifacts and correcting other static errors and image processing errors. This provides a foundation for the 3D reconstruction and accurate fabrication of the customized implants.

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Rotation errors in numerical manifold method and a correction based on large deformation theory

Ning ZHANG, Xu LI, Qinghui JIANG, Xingchao LIN

《结构与土木工程前沿（英文）》 2019年第13卷第5期页码 1036-1053 doi: 10.1007/s11709-019-0535-5

摘要： Numerical manifold method (NMM) is an effective method for simulating block system, however, significant errors are found in its simulation of rotation problems. Three kinds of errors, as volume expansion, stress vibration, and attenuation of angular velocity, were observed in the original NMM. The first two kind errors are owing to the small deformation assumption and the last one is due to the numerical damping. A large deformation NMM is proposed based on large deformation theory. In this method, the governing equation is derived using Green strain, the large deformation iteration and the open-close iteration are combined, and an updating strategy is proposed. The proposed method is used to analyze block rotation, beam bending, and rock falling problems and the results prove that all three kinds of errors are eliminated in this method.

关键词： numerical manifold method rotation large deformation Green strain open-close iteration

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Multiclass classification based on a deep convolutional

Ying CAI,Meng-long YANG,Jun LI

《信息与电子工程前沿（英文）》 2015年第16卷第11期页码 930-939 doi: 10.1631/FITEE.1500125

摘要： Head pose estimation has been considered an important and challenging task in computer vision. In this paper we propose a novel method to estimate head pose based on a deep convolutional neural network (DCNN) for 2D face images. We design an effective and simple method to roughly crop the face from the input image, maintaining the individual-relative facial features ratio. The method can be used in various poses. Then two convolutional neural networks are set up to train the head pose classifier and then compared with each other. The simpler one has six layers. It performs well on seven yaw poses but is somewhat unsatisfactory when mixed in two pitch poses. The other has eight layers and more pixels in input layers. It has better performance on more poses and more training samples. Before training the network, two reasonable strategies including shift and zoom are executed to prepare training samples. Finally, feature extraction filters are optimized together with the weight of the classification component through training, to minimize the classification error. Our method has been evaluated on the CAS-PEAL-R1, CMU PIE, and CUBIC FacePix databases. It has better performance than state-of-the-art methods for head pose estimation.

关键词： Head pose estimation Deep convolutional neural network Multiclass classification

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Understanding the demand predictability of bike share systems: A station-level analysis

《工程管理前沿（英文）》页码 551-565 doi: 10.1007/s42524-023-0279-8

摘要： Predicting demand for bike share systems (BSSs) is critical for both the management of an existing BSS and the planning for a new BSS. While researchers have mainly focused on improving prediction accuracy and analysing demand-influencing factors, there are few studies examining the inherent randomness of stations’ observed demands and to what degree the demands at individual stations are predictable. Using Divvy bike-share one-year data from Chicago, USA, we measured demand entropy and quantified the station-level predictability. Additionally, to verify that these predictability measures could represent the performance of prediction models, we implemented two commonly used demand prediction models to compare the empirical prediction accuracy with the calculated entropy and predictability. Furthermore, we explored how city- and system-specific temporally-constant features would impact entropy and predictability to inform estimating these measures when historical demand data are unavailable. Our results show that entropy of demands across stations is polarized as some stations exhibit high uncertainty (a low entropy of 0.65) and others have almost no check-out demand uncertainty (a high entropy of around 1.0). We also validated that the entropy and predictability are a priori model-free indicators for prediction error, given a sequence of bike usage demands. Lastly, we identified that key factors contributing to station-level entropy and predictability include per capita income, spatial eccentricity, and the number of parking lots near the station. Findings from this study provide more fundamental understanding of BSS demand prediction, which can help decision makers and system operators anticipate diverse station-level prediction errors from their prediction models both for existing stations and for new ones.

关键词： bike share systems demand prediction prediction errors machine learning entropy

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Planet position errors in planetary transmission: Effect on load sharing and transmission error

Miguel IGLESIAS, Alfonso FERNáNDEZ, Ana DE-JUAN, Ramón SANCIBRIáN, Pablo GARCíA

《机械工程前沿（英文）》 2013年第8卷第1期页码 80-87 doi: 10.1007/s11465-013-0362-7

摘要：

In this paper an advanced model of spur gear transmissions developed by the authors is used to study the influence of carrier planet pin hole position errors on the behaviour of the transmission. The model, initially conceived for external gear modeling, has been extended with internal meshing features, and thus increasing its capabilities to include planetary transmission modeling. The new features are presented, along with the summary of the model general approach. The parameters and characteristics of the planetary transmission used in the paper are introduced. The influence of carrier planet pin hole position errors on the planet load sharing is studied, and several static cases are given as examples in order to show the ability of the model. Tangential and radial planet pin hole position errors are considered independently, and the effect of the load level is also taken into account. It is also given attention to the effect on the transmission error of the transmission. Two different configurations for the planetary transmission are used, attending to the fixed or floating condition of the sun, and the differences in terms of load sharing ratio are shown.

关键词： gear planetary epicyclic transmission load sharing transmission error

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一种针对测试误差、参数误差和负荷突变故障分析的多功能动态状态估计器 Article

Mehdi AHMADI JIRDEHI,Reza HEMMATI,Vahid ABBASI,Hedayat SABOORI

《信息与电子工程前沿（英文）》 2016年第17卷第11期页码 1218-1227 doi: 10.1631/FITEE.1500301

摘要：本文提出了一种基于卡尔曼滤波理论的动态状态估计新算法，可有效探测、识别并校正电力系统中的测试误差和支路参数误差。同时，该算法亦可成功探测和识别电力系统中的负荷突变。该方法在每段取样时间内，采用三种归一化向量对误差进行处理，包括归一化测量残差，归一化拉格朗日乘子，以及归一化新息向量。在IEEE14节点测试系统上对所提出的算法进行了可行性和效能验证，并通过对数值结果的呈示和讨论，说明了该方法的精确度。

关键词：动态状态估计器；卡尔曼滤波；测试误差；支路参数误差；负荷突变

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Postprocessor development for ultrasonic cutting of honeycomb core curved surface with a straight blade

《机械工程前沿（英文）》 2023年第18卷第1期 doi: 10.1007/s11465-022-0729-8

摘要： When ultrasonically cutting honeycomb core curved parts, the tool face of the straight blade must be along the curved surface’s tangent direction at all times to ensure high-quality machining of the curved surface. However, given that the straight blade is a nonstandard tool, the existing computer-aided manufacturing technology cannot directly realize the above action requirement. To solve this problem, this paper proposed an algorithm for extracting a straight blade real-time tool face vector from a 5-axis milling automatically programmed tool location file, which can realize the tool location point and tool axis vector conversion from the flat end mill to the straight blade. At the same time, for the multi-solution problem of the rotation axis, the dependent axis rotation minimization algorithm was introduced, and the spindle rotation algorithm was proposed for the tool edge orientation problem when the straight blade is used to machine the curved part. Finally, on the basis of the MATLAB platform, the dependent axis rotation minimization algorithm and spindle rotation algorithm were integrated and compiled, and the straight blade ultrasonic cutting honeycomb core postprocessor was then developed. The model of the machine tool and the definition of the straight blade were conducted in the VERICUT simulation software, and the simulation machining of the equivalent entity of the honeycomb core can then be realized. The correctness of the numerical control program generated by the postprocessor was verified by machining and accuracy testing of the two designed features. Observation and analysis of the simulation and experiment indicate that the tool pose is the same under each working condition, and the workpieces obtained by machining also meet the corresponding accuracy requirements. Therefore, the postprocessor developed in this paper can be well adapted to the honeycomb core ultrasonic cutting machine tool and realize high-quality and high-efficient machining of honeycomb core composites.

关键词： honeycomb core straight blade ultrasonic cutting tool pose postprocessor

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Construction Activity Analysis of Workers Based on Human Posture Estimation Information

Xuhong Zhou,Shuai Li,Jiepeng Liu,Zhou Wu,Yohchia Frank Chen,

《工程（英文）》 doi: 10.1016/j.eng.2023.10.004

摘要： Identifying workers’ construction activities or behaviors can enable managers to better monitor labor efficiency and construction progress. However, current activity analysis methods for construction workers rely solely on manual observations and recordings, which consumes considerable time and has high labor costs. Researchers have focused on monitoring on-site construction activities of workers. However, when multiple workers are working together, current research cannot accurately and automatically identify the construction activity. This research proposes a deep learning framework for the automated analysis of the construction activities of multiple workers. In this framework, multiple deep neural network models are designed and used to complete worker key point extraction, worker tracking, and worker construction activity analysis. The designed framework was tested at an actual construction site, and activity recognition for multiple workers was performed, indicating the feasibility of the framework for the automated monitoring of work efficiency.

关键词： Pose estimation Activity analysis Object tracking Construction workers Automatic systems

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RFPose-OT：基于最优传输理论的无线三维人体姿态估计 Research Article

俞聪1,张东恒2,武治2,卢智2,解春阳1,胡洋3,陈彦2

《信息与电子工程前沿（英文）》 2023年第24卷第10期页码 1445-1457 doi: 10.1631/FITEE.2200550

摘要：本文提出一个新颖的RFPose-OT模型框架以实现从无线射频信号中估计三维人体姿态。与现有直接从射频信号中预测人体姿态方法不同，本文考虑射频信号与人体姿态之间的结构特征差异，提出基于最优传输理论在特征空间上将射频信号变换到人体姿态域，再根据变换后的特征预测人体姿态。为评估RFPose-OT模型，本文构建了一个无线电系统和一个多视角相机系统获取无线信号数据以及真实的人体姿态标签。在室内基本环境、室内遮挡环境以及室外环境中的实验结果表明，RFPose-OT模型能精确地估计三维人体姿态，优于现有方法。

关键词：无线射频感知；人体姿态估计；最优传输；深度学习

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使用稠密多元标签分布的看不见的头部姿势预测，国家重点科学仪器设备开发项目（No.2013YQ49087903）和国家自然科学基金（No.61202160）支持的项目

Gao-li SANG,Hu CHEN,Ge HUANG,Qi-jun ZHAO

《信息与电子工程前沿（英文）》 2016年第17卷第6期页码 516-526 doi: 10.1631/FITEE.1500235

摘要：准确的头部姿势对于许多与面部相关的任务很有用，例如面部识别，注视估计和情绪分析。大多数现有方法估计训练数据中包括的头部姿势（即先前看到的头部姿势）。为了预测在训练数据中看不到的头部姿势，已经提出了一些基于回归的方法。但是，他们专注于估计连续的头部姿势角度，因此没有系统地评估预测看不见的头部姿势的性能。在本文中，我们使用密集的多元标签分布（MLD）来表示人脸图像的姿势角度。通过将可见和看不见的姿势角度都合并到MLD中，头部姿势预测器可以以与估计所见的头部姿势相当的精度估计看不见的头部姿势。在Pointing’04数据库中，偏航和俯仰结果的平均绝对误差分别为4.01和2.13。此外，在CAS-PEAL和CMU Multi-PIE数据库上进行的实验表明，与某些现有方法相比，所提出的基于MLD的密集头部姿态估计方法可以获得最先进的性能。

关键词：头部姿势估计，密集的多变量标签分布，采样间隔，标签不一致，

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基于路径引导的果蝇幼虫运动合成 Research Article

陈俊君1,2,王燚军1,孙艺璇1,余益飞1,刘子奥1,龚哲峰1,4,5,郑能干1,3

《信息与电子工程前沿（英文）》 2023年第24卷第10期页码 1482-1496 doi: 10.1631/FITEE.2200529

摘要：本文建立一个大规模果蝇幼虫动态姿态数据集，并提出一个运动合成模型（Path2Pose），通过给定一段幼虫初始运动姿态序列和引导路径生成后续运动姿态序列。进一步地，通过循环生成的方式，Path2Pose模型可以合成长时间、多模态的果蝇幼虫运动姿态序列。运动评估实验表明，Path2Pose模型可以生成高度真实的软体动物运动，并在现有同类型模型中取得最好生成效果。

关键词：软体动物运动合成；动态姿态数据集；形态学分析；长时间姿态序列生成

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面向大幅面金属增材抛光的激光扫描振镜与伺服台协同控制系统 Article

崔梦嘉, 卢立斌, 张震, 管迎春

《工程（英文）》 2021年第7卷第12期页码 1732-1740 doi: 10.1016/j.eng.2020.06.028

摘要：

为了满足高品质金属增材制造的迫切需求，本文创新地提出了一种以激光扫描振镜与精密伺服台协同控制为核心的大幅面激光精密抛光方法，以实现大幅面选区激光熔化（SLM）成形镍合金精密抛光。我们提出的协同控制系统主要包括主从式新型协同控制架构、运动矢量分解和误差合成等核心模块。研究实验结果表明，与传统步进-扫描方法相比，该协同控制系统实现了激光光斑连续运动，避免了拼接误差，加工效率提升了38.24%。由于激光扫描路径更流畅，相应能量分布更均匀，因此，大幅面抛光质量得到显著改善。本协同系统为大幅面、高精度、高效率的激光精密加工提供了重要途径，在航空航天、新能源、高端模具、医疗器械等精密制造领域具有广阔的应用前景。

关键词：协同控制激光制造拼接误差激光抛光大幅面

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一个格上不经意传输协议的量子安全性分析 Article

Mo-meng LIU, Juliane KRÄMER, Yu-pu HU, Johannes BUCHMANN

《信息与电子工程前沿（英文）》 2017年第18卷第9期页码 1348-1369 doi: 10.1631/FITEE.1700039

摘要：不经意传输协议（oblivious transfer, OT）因其简易的密码功能广泛应用于安全多方计算。以往OT协议都是基于传统数论问题（例如，离散对数，大数分解问题）所构造的，随着量子计算技术的发展，基于传统困难问题的OT协议安全性受到极大的威胁。因此，人们转而考虑使用后量子密码技术替代以往OT协议所依赖的传统困难问题。目前，已有一些基于后量子密码体制的OT协议被提出。然而，大多数后量子密码构造只在假设传统敌手存在的环境下证明其方案安全性。在本文中，我们在量子敌手存在的环境下，证明一个基于格公钥密码的OT协议（[PVW08]）的安全性。首先我们使用量子平移定理（[Unr10]）证明该协议的安全性可以完全平移到量子环境中，此外，我们还使用其他两个专用于分析后量子密码原语的分析模型（[HSS11]，[Son14]）从不同的角度对该协议进行安全性分析，从而保证我们给出的量子安全证明的正确性。我们的成果可以看作对后量子密码协议分析模型的一个实际应用实例。

关键词：不经意传输；后量子；格公钥；带差错学习；通用可复合

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标题作者时间类型操作

Kinematic calibration of precise 6-DOF stewart platform-type positioning systems for radio telescope applications

Juan Carlos JáUREGUI, Eusebio E. HERNáNDEZ, Marco CECCARELLI, Carlos LóPEZ-CAJúN, Alejandro GARCíA

期刊论文

Modeling and simulating the impact of forgetting and communication errors on delays in civil infrastructure

Zhe SUN, Cheng ZHANG, Pingbo TANG

期刊论文

The dynamic correction of collimation errors of CT slicing pictures

LIU Ya-xiong, Sekou Sing-are, LI Di-chen, LU Bing-heng

期刊论文