多用户协同手势下触摸点用户归属问题研究

随着多点触摸交互技术的发展,大尺寸交互区下的操作是触摸屏未来发展的一个趋势,多用户协同手势的识别是支持其发展的一个关键技术;针对多用户协同手势识别中触摸点用户归属问题,提出区域划分、直接对象、主点作用域三种归类模式,避免了多用户触摸点之间的交叉影响,将触摸点区分到不同的用户手势中,为后续根据手势信息进行下一步的手势识别提供了可靠的依据;最后给出三个实例验证方法的有效性,并采用用户问答方式对其交互性和效率进行了统计和分析。     

面向流场可视化的沉浸式虚拟现实交互系统研究

针对基于二维显示交互环境的流场可视化应用由于深度信息不足导致交互效率较低的问题,引入虚拟现实技术,提出具备多样化交互方式的沉浸式流场可视化系统。该系统基于凝视与手势交互技术,设计并实现了基于用户手势的导航方法与三维交互控件,基于用户凝视与手势的沉浸式交互面板,以及基于可视化场景的沉浸式交互管理方法与基于可视化算法树的可视化网络管理方法,对用户交互进行了系统化管理,能够在沉浸式环境提供对典型流场可视化操作的全流程支持。用户实验结果表明：该系统能够在典型流场可视化场景下为用户提供高效、自然的交互。     

虚拟手术中具备触觉功能的软组织交互技术

研究了虚拟手术中用户通过触觉设备与软组织进行交互操作的技术.所用触觉设备为Phantom Desktop,交互操作包括切割、触摸和抓取.为了克服用户手的颤抖产生的触觉反馈力振荡,切割中的反馈力使用代理的方法计算,反馈力由刀锋阻力和刀面约束力构成.触摸和抓取操作使用作用球的方法,根据作用球的入侵体积来计算作用力和反馈力,并使用力和力矩等效原则将作用力分解成顶点等效力.最后给出了使用虚拟肝脏模型进行交互操作的效果.     

基于手势的人机交互的研究

人机交互的本质是人的多维信息认知空间和计算机的信息表示空间之间的相互映射 。传统的用户界面范型遵循着一种基于命令的交互,交互的输入,输出是离散的事件流,交互中人的意图能自然、高效地表达,需要交互者较多的认知努力。基于手势的人机交互以手势表达交互意图,手势中含有大量的交互信息,同时又符合的人认知习惯。基于手势的交互具有非精确、多通道、连续等特点,能够实现人的认知空间和计算空间对间的平滑过渡,从而有效     

VRML场景中的智能替身研究

给出VRML场号中的智能替身模型，使得替身可以更好的理解用户的意图。首先，利用参数化的方法构造替身模型，使得用户可以更快捷的定制个性化的替身；在此基础上，分层次的动作模型实现了从高层的面向任务的动作到底层替身物理动作的高效分解与映射；最后，多通道的交互方式使得用户可以通过更自然的方式控制自己的替身。VRML场景中的智能替身研究为VRML多用户虚拟场景中替身交互，以及替身与场景交互的研究提供了基础。     

VGE多用户协作建模与虚拟演示

提出将多智能体技术集成到虚拟地理环境（VGE）中,以有效地虚拟表达面向“人”GIS。主要研究VGE中基于遗传算法（GA）和多智能体系统（MAS）的多用户之间的协作。分析和研究了基于GA的多用户集体操作行为学习的算法,建立多智能体与对象之间动态交互的动力学作用模型和运动策略;最后以进化的3个智能体如何协作完成群体推立方体箱任务为例,基于V-Realm Builder 2.0设计了VGE中3用户集体推箱的虚拟世界原型,并用Simulink 6.0进行建模与虚拟演示。     

基于HLA/RTI的维修保障仿真系统及势态显示实现

维修保障系统是由装备维修所需硬件、软件、人力以及管理组成的复杂系统，为了实现维修保障过程的协同和交互，提高维修保障仿真效率，在分析了其结构组成和特性的基础上，建立了基于HLA（High Level Architecture）／RTI（Run-Time Infrastructure）的堆修保障仿真系统及联邦成员组成，根据各成员的属性和交互关系设计和开发了联邦和仿真对象模型（FOM／SOM，Federation／Simulation Object Model），并完成了FOM中对象类、交互类及属性的映射，最后利用Vr—link和PVD（Plan View Display）等工具实现了维修保障仿真系统中各联邦成员的信息交互和势态显示。     

基于模型的虚拟人手势重构方法研究

虚拟人手操作的逼真性和准确性直接影响到仿真分析结果的可靠性.在虚拟维修作业过程中虚拟人需要不同的手势对各种工具进行灵活操作,针对该问题提出了从模型中重构手势的思想,并给出了一种新的关节角提取算法.首先,在人体建模软件中建造需要的目标手势并提取出骨架:然后用算法对原有手部模型各关节角进行迭代求解,直到该手部模型姿势与目标手势一致,实现对目标手势的重构.Jack平台上仿真结果表明,该算法可以快速有效地提取出手部模型的关节角.     

一种基于手势的虚拟场景交互方法

手势作为一种自然的交互方式,不但方便了人与计算机的交互,而且也是对传统鼠标和键盘交互方式的一种有益补充。提出一种基于手势的虚拟环境交互方法,首先对视频采集到的手势图像进行预处理,获得手势二值图像,根据二值图像计算Zernike归一化矩,以获得手势的特征信息;然后利用BP神经网络对手势进行识别;最后根据识别的结果,驱动视点运动,实现虚拟场景的漫游。实验结果表明,该方法具有识别率高和稳定性好的优点。     

视频点播系统用户行为仿真平台

大型VOD（Video On Demand)系统需要设计用户许可控制、流调度等一系列算法,然而为研究此类算法而建立大型系统并不现实。本文提出VOD系统用户行为仿真平台,模拟大型VOD系统的用户行为并为各类算法提供仿真运行的平台。该平台描述了VOD系统用户行为的一般数学模型,刻划了典型用户进入系统行为分布、节目选择分布和VCR操作分布,设计了用户行为仿真平台结构,并完成了该平台,此平台提出的变强度用户流的概念,使对实际用户行为的仿真更加真实。实验表明,VOD系统用户行为仿真平台客观的反映了VOD系统的用户行为,同时还为其他算法研究和算法验证提供方便易用的基础。     

Novel approach for identifying Z-axis drift of RLG based on GA-SVR model

This paper describes a novel approach for identifying the Z-axis drift of the ring laser gyroscope （RLG） based on ge-netic algorithm （GA） and support vector regression （SVR） in the single-axis rotation inertial navigation system （SRINS）. GA is used for selecting the optimal parameters of SVR. The latitude error and the temperature variation during the identification stage are adopted as inputs of GA-SVR. The navigation results show that the proposed GA-SVR model can reach an identification accuracy of 0.000 2 （？）/h for the Z-axis drift of RLG. Compared with the ra-dial basis function-neural network （RBF-NN） model, the GA-SVR model is more effective in identification of the Z-axis drift of RLG.     

Survey on nonlinear reconfigurable flight control

An overview on nonlinear reconfigurable flight control approaches that have been demonstrated in flight-test or highfidelity simulation is presented. Various approaches for reconfigurable flight control systems are considered, including nonlinear dynamic inversion, parameter identification and neural network technologies, backstepping and model predictive control approaches. The recent research work, flight tests, and potential strength and weakness of each approach are discussed objectively in order to give readers and researchers some reference. Finally, possible future directions and open problems in this area are addressed.     

ECCM scheme against interrupted sampling repeater jammer based on time-frequency analysis

The interrupted sampling repeater jamming（ISRJ） is an effective deception jamming method for coherent radar, especially for the wideband linear frequency modulation（LFM） radar. An electronic counter-countermeasure（ECCM） scheme is proposed to remove the ISRJ-based false targets from the pulse compression result of the de-chirping radar. Through the time-frequency（TF） analysis of the radar echo signal, it can be found that the TF characteristics of the ISRJ signal are discontinuous in the pulse duration because the ISRJ jammer needs short durations to receive the radar signal. Based on the discontinuous characteristics a particular band-pass filter can be generated by two alternative approaches to retain the true target signal and suppress the ISRJ signal. The simulation results prove the validity of the proposed ECCM scheme for the ISRJ.     

电动汽车用开关磁阻电机有限元分析及仿真

开关磁阻电机（SRM）广泛应用于电动车驱动系统。建立SRM数学模型,对其做深入的仿真分析,对电动车用SRM的设计、控制有着重要的指导意义。SRM具有非线性的工作特征,无法得到统一的数学模型与解析式,利用ANSYS对电动汽车用开关磁阻电机进行有限元分析,得到电机静特性,计算出样机的磁链特性曲线。然后通过ANSYS与SIMULINK之间的数据传递,将有限元分析的数据导入SIMULINK中,以磁链函数为基础建立相对应的SRM驱动系统模型,并对该系统进行动态仿真。通过分析三组不同导通角和关断角组合条件下仿真系统的绕组电流、转矩和转速的仿真曲线,验证SRM的有限元分析结果及所建立的仿真模型的正确性及合理性。     

基于 SD 的 VMI 供需双方利润分配机制研 究简

针对解决实施VMI合作双方因订货主动权的转移所引的责任和利益不统一问题,运用系统动力学的原理和方法,分别构建了传统库存管理和VMI两种模式下的供应商和销售商利润分配系统动力学模型,并通过仿真模拟对实施VMI模式前后各企业的经济效益进行比较,探讨实施VMI且销售商销售价格不变时,供应商的销售价格调整对合作双方利润分配的影响。     

Reduced K-best sphere decoding algorithm based on minimum route distance and noise variance

This paper focuses on reducing the complexity of K-best sphere decoding （SD） algorithm for the detection of uncoded multi-ple input multiple output （MIMO） systems. The proposed algorithm utilizes the threshold-pruning method to cut nodes with partial Euclidean distances （PEDs） larger than the threshold. Both the known noise value and the unknown noise value are considered to generate the threshold, which is the sum of the two values. The known noise value is the smal est PED of signals in the detected layers. The unknown noise value is generated by the noise power, the quality of service （QoS） and the signal-to-noise ratio （SNR） bound. Simulation results show that by considering both two noise values, the proposed algorithm makes an efficient reduction while the performance drops little.     

Evaluation matrix with the speed feature based on double inspiriting control lines

Methods of the comprehensive evaluation have been studied for many years. However, the change speed of evaluated objects was rarely considered by the existing evaluation methods. An evaluation matrix is proposed to remedy this deficiency. Firstly, the change speed state （CSS） of the evaluated objects is analyzed based on double inspiriting control lines （DICLs）, and a matrix of the CSS is constructed. Then, 72 elements in the matrix are analyzed, and formulas describing each CSS are given. The efficiency of the proposed evaluation matrix is proved when the CSS merges with the change speed trend （CST） in the dynamic comprehensive evaluation. Finally, a computing example shows that the proposed evaluation matrix is feasible in the dynamic comprehensive evaluation with the speed feature.     

Human activity recognition based on HMM by improved PSO and event probability sequence

This paper proposes a hybrid approach for recognizing human activities from trajectories.First,an improved hidden Markov model(HMM) parameter learning algorithm,HMM-PSO,is proposed,which achieves a better balance between the global and local exploitation by the nonlinear update strategy and repulsion operation.Then,the event probability sequence(EPS) which consists of a series of events is computed to describe the unique characteristic of human activities.The analysis on EPS indicates that it is robust to the changes in viewing direction and contributes to improving the recognition rate.Finally,the effectiveness of the proposed approach is evaluated by data experiments on current popular datasets.     

New method for detection fusion of MAC based on DCM and NP rule

The problem of distributed detection fusion using multiple sensors for remote underwater target detection is studied. Considering that multiple access channel (MAC) schemes are able to offer high efficiency in bandwidth usage and consume less energy than the parallel access channel (PAC), the MAC scheme is introduced into the underwater target detection field. The model of underwater distributed detection fusion based on MAC schemes is established. A new method for detection fusion of MAC based on deflection coefficient maximization (DCM) and Neyman-Pearson (NP) rule is proposed. Under the power constraint of local sensors, this paper uses the DCM theory to derive the optimal weight coefficients and offsets. The closed-form expressions of detection probability and false alarm probability for fusion systems are obtained. The optimal detection performance of fusion systems is analyzed and deeply researched. Both the theory analysis and simulation experiments indicate that the proposed method could improve the detection performance and decrease the error probability effectively under power constraints of local sensors and low signal to noise ratio.     

Coordination Model Research Based on Command Decision Joint Intension

Command Decision Simulation （CDS） is not only an important and difficult issue in the field of simulation, but also a technique issue to be tackled in the course of collective Modeling and Simulation in Joint Operations Experiment Center. CDS can give support to all kinds of simulation. Using computer to realize the Blue side＇s command deci- sion automatic execution in the operation training simulation system can improve training effect. Using computer to realize the lower level command unit＇s automatic command deci- sion can help to reduce the number of controllers and release them from heavy work. It can also enlarge simulation scale and increase the freedom of the simulation entity especially the command entity, thus enhance the authenticity and credibility of the simulation. Ac- cording to the command decision structure and the Joint Intention Theory, the thesis puts forward the method of making use of Coordination Matrix （CM） to realizing cooperation among the entities in CDS and constructs the calculation sketch of Task Execution, Task Monitoring and Task Replanning. At the same time, the thesis brings forward the CDS structure vision based on Partial Global Planning（PGP）. As CM is an indispensable part of combat simulation, the theory and the method of CDS will become an important part for the theory of Combat Simulation.