Exactly Solvable Two-Parameter Models of Relativistic δ′s -Sphere Interactions in Quantum Mechanics

We make a systematic study of two-parameter models of δ ′ s -sphere interaction and δ ′ s -sphere plus a Coulomb interaction. Where δ ′ s interaction denotes the δ ′ -sphere interaction of the second kind. We provide the mathematical definitions of Hamiltonians and obtain new results for both models, in particular the resolvents equations, spectral properties and some scattering quantities.

“Eigen-Operator” Method of the Square of Schroedinger Operator in Interaction Picture and Its Application in Describing Parametric Amplifiers

We extend the method of searching “eigen-operator” of the square of the Schroedinger operator to the interaction picture, which not only helps to construct Hamiltonians of two kinds of parametric amplifiers but also leads to a new uncertainty relation regarding to the free Hamiltonian and the interacting Hamiltonian.

Dynamic interactive bitwise meta-holography with ultra-high computational and display frame rates

Interactive holography offers unmatched levels of immersion and user engagement in the field of future display.Despite of the substantial progress has been made in dynamic meta-holography,the realization of real-time,highly smooth interactive holography remains a significant challenge due to the computational and display frame rate limitations.In this study,we introduced a dynamic interactive bitwise meta-holography with ultra-high computational and display frame rates.To our knowledge,this is the first reported practical dynamic interactive metasurface holographic system.We spa-tially divided the metasurface device into multiple distinct channels,each projecting a reconstructed sub-pattern.The switching states of these channels were mapped to bitwise operations on a set of bit values,which avoids complex holo-gram computations,enabling an ultra-high computational frame rate.Our approach achieves a computational frame rate of 800 kHz and a display frame rate of 23 kHz on a low-power Raspberry Pi computational platform.According to this methodology,we demonstrated an interactive dynamic holographic Tetris game system that allows interactive gameplay,color display,and on-the-fly hologram creation.Our technology presents an inspiration for advanced dynamic meta-holography,which is promising for a broad range of applications including advanced human-computer interaction,real-time 3D visualization,and next-generation virtual and augmented reality systems.

Implementation of n-qubit Deutsch-Jozsa algorithm using resonant interaction in cavity QED

We propose a scheme to implement the n-qubit Deutsch-Jozsa algorithm based on resonant interaction between the atoms and a single-mode cavity. In the scheme, the resonant transitions between two ground states and one excited state of an atom are changed alternately by adjusting the cavity frequency appropriately, and the operations required to complete the algorithm can be significantly simplified following the increment of the number of qubits. The implementation of the scheme in experiment would show the full power of quantum algorithm and would be significative and important for more complicated quantum algorithm in cavity quantum electrodynamics.

Dual-Mode Terahertz Extended Interaction Oscillator Driven by a Pseudospark-Sourced Sheet Electron Beam

A terahertz dual-mode extended interaction oscillator (EIO) driven by a pseudospark-sourced sheet electron beam (SEB) was presented.The major advantages of the newly developed circuit include 1) high-density SEB interacting with the TM_(11) and TM_(31) modes,respectively,and 2) high output power of over 1 kW at the subterahertz frequency range.Two different types of 2π modes and their output characteristics were studied,and the circuit was optimized to ensure efficient outputs of two standing-wave modes.The three-dimensional (3D) particle-in-cell (PIC) simulation predicts the maximum output power of 1.3 kW with the 3-dB bandwidth of ~0.5 GHz at 303 GHz when operating at the TM_(11)mode,and 3.18 kW with the 3-dB bandwidth of ~0.85 GHz at 364 GHz when operating at the TM_(31)mode.

The Development and Operation Mechanism of the Colleges’E-class Network Ideological and Political Education Platform——Based on post-95 college students’social behavior characteristics

Based on the investigation and analysis of the social behavior characteristics of post-95undergraduates, this paper puts forward the principle of sharing and building e-class platform and analyzes thedevelopment of the functions of the four platforms such as the teacher-student service system, instant interactionsystem, SNS community system and vertical segmental pushing system and the realization of the function of modularoperation. Finally, in order to ensure the stable operation of the E-class platform, four measures are put forward suchas the systematic construction of the system, the innovation of team work, the assessment of key performances and thecomprehensive guarantee, thus providing an external guarantee for the stable operation of the E-class platform.

Aero-Hydro-Elastic-Servo Modeling and Dynamic Response Analysis of A Monopile Offshore Wind Turbine Under Different Operating Scenarios

This paper constructs a coupled aero-hydro-elastic-servo simulation framework for a monopile offshore wind turbine(OWT).In this framework,a detailed multi-body dynamics model of the monopile OWT including the gearbox,blades,tower and other components(nacelle,hub,bedplate,etc.)has been explicitly established.The effects of pile−soil interaction,controller and operational conditions on the turbine dynamic responses are studied systematically in time domain and frequency domain.The results show that(1)a comprehensive drivetrain model has the capability to provide a more precise representation of the complex dynamic characteristics exhibited by drivetrain components,which can be used as the basis for further study on the dynamic characteristics of the drivetrain.(2)The pile−soil interaction can influence the wind turbine dynamic responses,particularly under the parked condition.(3)The effect of the pile−soil interaction on tower responses is more significant than that on blade responses.(4)The use of the controller can substantially affect the rotor characteristics,which in turn influences the turbine dynamic responses.(5)The tower and blade displacements under the operational condition are much larger than those under the parked condition.The model and methodology presented in this study demonstrate potential for examining complex dynamic behaviors of the monopile OWTs.To ensure accuracy and precision,it is imperative to construct a detailed model of the wind turbine system,while also taking into account simulation efficiency.

Research on fault time prediction method for high speed rail BTM unit based on multi method interactive validation

The Balise Transmission Module(BTM)unit of the on-board train control system is a crucial component.Due to its unique installation position and complex environment,this unit has a higher fault rate within the on-board train control system.To conduct fault prediction for the BTM unit based on actual fault data,this study proposes a prediction method combining reliability statistics and machine learning,and achieves the fusion of prediction results from different dimensions through multi-method interactive validation.Firstly,a method for predicting equipment fault time targeting batch equipment is introduced.This method utilizes reliability statistics to construct a model of the remaining faultless operating time distribution considering uncertainty,thereby predicting the remaining faultless operating probability of the BTM unit.Secondly,considering the complexity of the BTM unit’s fault mechanism,the small sample size of fault cases,and the potential presence of multiple fault features in fault text records,an individual-oriented fault prediction method based on Bayesian-optimized Gradient Boosting Regression Tree(Bayes-GBRT)is proposed.This method achieves better prediction results compared to linear regression algorithms and random forest regression algorithms,with an average absolute error of only 0.224 years for predicting the fault time of this type of equipment.Finally,a multi-method interactive validation approach is proposed,enabling the fusion and validation of multi-dimensional results.The results indicate that the predicted fault time and the actual fault time conform to a log-normal distribution,and the parameter estimation results are basically consistent,verifying the accuracy and effectiveness of the prediction results.The above research findings can provide technical support for the maintenance and modification of BTM units,effectively reducing maintenance costs and ensuring the safe operation of high-speed railway,thus having practical engineering value for preventive maintenance.

基于视觉传达设计的农机操作界面优化研究

近年来,随着农业机械智能化的不断发展与应用,农户对农业机械操控功能性、便捷性、易学性和人机交互的良好体验等提出了更高的要求;但是,目前市场上各类农业机械APP界面出现大量“雷同化”特点,难以满足不同农业机械的田间使用要求。为此,将“人机交互行为”作为设计目标,基于视觉传达技术,以谷物联合收获机操作界面为研究对象开展相关设计。同时,对谷物联合收获机操作界面图形、文字、色彩和设计风格进行分析,结果表明:优化后的农机操作界面能够显著提高操作员的操作效率和工作体验,降低操作错误率和疲劳程度。研究结果可为农业机械智能化操作界面的设计提供可参考的过程设计模型。

Electricity-Carbon Interactive Optimal Dispatch of Multi-Virtual Power Plant Considering Integrated Demand Response

As new power systems and dual carbon policies develop,virtual power plant cluster(VPPC)provides another reliable way to promote the efficient utilization of energy and solve environmental pollution problems.To solve the coordinated optimal operation and low-carbon economic operation problem in multi-virtual power plant,a multi-virtual power plant(VPP)electricity-carbon interaction optimal scheduling model considering integrated demand response(IDR)is proposed.Firstly,a multi-VPP electricity-carbon interaction framework is established.The interaction of electric energy and carbon quotas can realize energy complementarity,reduce energy waste and promote low-carbon operation.Secondly,in order to coordinate the multiple types of energy and load in VPPC to further achieve low-carbon operation,the IDR mechanism based on the user comprehensive satisfaction(UCS)of electricity,heat as well as hydrogen is designed,which can effectively maintain the UCS in the cluster within a relatively high range.Finally,the unit output scheme is formulated to minimize the total cost of VPPC and the model is solved using theCPLEX solver.The simulation results showthat the proposed method effectively promotes the coordinated operation among multi-VPP,increases the consumption rate of renewable energy sources and the economics of VPPC and reduces carbon emissions.

改进贝叶斯网络模型在起重作业人机交互差错风险分析中的应用

为量化分析起重作业人机交互差错风险,根据安全工效学原理及安全技术规范将起重作业人、机、环相关影响因素作为根节点,按照事故致因层次关联关系确定子节点,构建起重作业人机交互差错的3层级贝叶斯网络模型(Bayesian Network, BN);基于模糊集理论,采用认知可靠性与失误分析方法(Cognitive Reliability and Error Analysis Method, CREAM),厘定贝叶斯网络父节点失效概率以及中间节点条件概率;利用逆向推理仿真技术分析起重作业人机交互差错发生的因果链,探究起重伤害事故发生的人机交互差错风险。结果表明:起重作业人机交互差错最可能致因链为起重设备安全检查不到位→管理人员失误→人员操作失误→起重伤害事故发生;单因素失效条件下,起重作业人机交互差错风险概率呈线性增长趋势;在多因素失效条件下,一级节点因素失效概率愈大则人机交互差错效应愈显著,且呈现非线性增长态势。

“智慧城市”虚拟仿真实验平台设计与实现

为解决“物联网组网技术”课程在实验教学中的不足,提高实验教学效果,提出了虚拟仿真实验教学平台,构建了包含智能小区、无人超市、车联网、城市之郊等模块的智慧城市。详细阐述了虚拟仿真实验平台的特点、细节和功能。利用三维虚拟仿真和VR教学资源,通过交互式操作使学生直观地学习该门课程中所涉及的专业知识。

玉米收获机虚拟样机的仿真作业研究

为了实现玉米收获机在虚拟环境中的工况仿真与性能测试,设计了虚拟仿真系统。首先,建立VR工况环境,采用数字函数建立地形模型和地高模型,采用外部引用、实例化和布告板技术实现地物模型;其次,建立收获机运行模型,其中发动机有效功率与转速呈线性分布,有效扭矩与转速成二次关系,建立转向控制模型和制动模型;基于ODE物理引擎建立收获机自身部件相对运动建模,进而完成收获机模型和VR工况模型的交互系统;最后,在虚拟环境中对收获机进行测试,指导改进收获机设计。

3D及VR视频互动教学法在临床操作技能训练教学中的应用

选取2022年9月—2023年2月进入三峡大学附属仁和医院进行临床操作技能学习的64名学生,随机分为实验组和对照组。实验组在正常教学的基础上再进行3D及VR视频互动学习,对照组采用传统的教学模式。结果表明,实验组的理论知识和实践操作技能成绩、运用综合知识能力成绩及教学满意度高于对照组(P<0.05)。为此,3D及VR视频互动教学法应用于临床操作技能训练教学能取得良好的教学效果,可提升学生对知识的掌握及应用能力及对教学模式的满意度。

基于MBD的高层建筑施工工艺结构化表征

针对高层建筑施工过程中的庞大内容和复杂的组织关系,本文首先深入分析了二维纸质工艺图纸和文件作为技术交底形式所带来的抽象性、理解困难、规范性差及数据一致性难以保障等问题。基于对高层建筑施工工艺特性和信息集成需求的分析,本文规范化定义了施工工艺的要素和属性,提出了基于工艺结构树的施工工艺信息组织管理方法,并构建了多层级工艺信息模型以实现工艺信息的结构化表达。借鉴制造业的MBD理念,本文以工艺结构树为数据组织核心,结合BIM模型与工艺信息卡片,提出了集成几何设计与施工工艺信息的三维施工工艺结构化表征框架。最后,通过开发交互式作业指导系统并结合实际案例验证,完成了项目主体、工艺和各类资源的有序整合,为智能建造提供了理论与方法支持。

多模态数据融合的加工作业动态手势识别方法

为了解决单模态数据所提供的特征信息缺乏而导致的识别准确率难以提高、模型鲁棒性较低等问题,提出了面向人机交互的加工作业多模态数据融合动态手势识别策略。首先,采用C3D网络模型并在视频的空间维度和时间维度对深度图像和彩色图像两种模态数据进行特征提取;其次,将两种模态数据识别结果在决策层按最大值规则进行融合,同时,将原模型使用的Relu激活函数替换为Mish激活函数优化梯度特性;最后,通过3组对比实验得到6种动态手势的平均识别准确率为96.8%。结果表明:所提方法实现了加工作业中动态手势识别的高准确率和高鲁棒性的目标,对人机交互技术在实际生产场景中的应用起到推动作用。

极端运行阵风下风电叶片动力学响应特性流固耦合分析

基于CFD及有限单元法,利用ANSYS Workbench平台的Fluent与Transient Structural模块,对NREL 5 MW风电机组复合材料叶片在极端运行阵风下的气动特性及结构力学特性进行研究。结果表明:风轮气动载荷受极端运行阵风的影响较大,极端运行阵风作用下,风力机转矩及轴向推力等随风速的变化出现较大幅值的响应且响应峰值较阵风峰值均有所提前;叶片位移随风速的变化在峰值风速的前后出现大小两个峰值;在风速达到峰值时,与均匀来流阶段相比,叶片表面应力整体增幅较大。

摇摆、操作方式对数字化主控室操作员点击操作绩效的影响

目的了解摇摆、操作方式对数字化核电厂主控室操作员点击操作的影响,降低人因失误。方法设计并组织蒸汽发生器传热管道破裂事故下操作员点击操作实验,探究4种摇摆级别(静止、低、中和高)×2操作方式(鼠标和轨迹球)下操作员点击操作绩效。结果摇摆对反应时间和正确率影响均不显著,操作方式对正确率影响不显著,但显著影响反应时间。随着摇摆级别的增加,不适程度增加,但不同操作方式下,摇摆不适差异不显著。不同摇摆级别下,操作主观评分差异不显著,与鼠标相比,轨迹球较难操作,用力更大,指向准确性较差,操作速度相对较慢,整体舒适度较低,可用性相对较差。结论本研究中摇摆对数字化主控室操作员点击操作绩效影响小,操作方式影响操作绩效,且使用轨迹球时所需反应时间增加,约为鼠标的1.51倍。

考虑供需灵活性量化的源-荷-储多时间尺度协同优化

风电、光伏类新能源出力具有随机性和波动性,且随着新能源渗透率的增高,系统灵活性需求也激增。在此背景下,考虑源-荷-储灵活性资源互动,对新能源高渗透系统源-荷-储协同运行问题展开研究。首先,引入向上、向下裕度量化系统灵活性,并利用灵活性供需平衡机理动态评估灵活性需求;其次,提出一种考虑供需灵活性的多时间尺度协同运行方法,构建典型周、典型日、典型时段运行模拟模型,并将碳交易收益和灵活性不足惩罚成本纳入优化目标,考虑调峰需求和爬坡容量对典型时段灵活性的影响,采用多级优化、逐级细化的思路求解模型。算例分析表明,所提方法在保障系统环保性和经济性的基础上,提升了系统各个时间尺度上的灵活性容量,可以促进系统新能源消纳。