Research on consistency measurement and weight estimation approach of hybrid uncertain comparison matrix

The consistency measurement and weight estimation approach of the hybrid uncertain comparison matrix in the analytic hierarchy process （AHP） are studied. First, the decision-making satisfaction membership function is defined based on the decision making＇s allowable error. Then, the weight model based on the maximal satisfactory consistency idea is suggested, and the consistency index is put forward. Moreover, the weight distributing value model is developed to solve the decision making misleading problem since the multioptimization solutions in the former model. Finally, the weights are ranked based on the possibility degree approach to obtain the ultimate order.     

Periodic performance of the chaotic spreadspectrum sequence on finite precision

It is well known that the periodic performance of spread spectrum sequence heavily affects the correlative and secure characteristics of communication systems. The chaotic binary sequence is paid more and more attention since it is one kind of applicable spread spectrum sequences. However, there are unavoidable short cyclic problems for chaotic binary sequences in finite precision. The chaotic binary sequence generating methods are studied first. Then the short cyclic behavior of the chaotic sequences is analyzed in detail, which are generated by quantification approaches with finite word-length. At the same time, a chaotic similar function is defined for presenting the cyclic characteristics of the sequences. Based on these efforts, an improved method with scrambling control for generating chaotic binary sequences is proposed. To quantitatively describe the improvement of periodic performance of the sequences, an orthogonal estimator is also defined. Some simulating results are provided. From the theoretical deduction and the experimental results, it is concluded that the proposed method can effectively increase the period and raise the complexity of the chaotic sequences to some extent.     

Directionality based fast fractional pel motion estimation for H.264

Motion estimation is an important and intensive task in video coding applications. Since the complex-ity of integer pixel search has been greatly reduced by the numerous fast ME algorithm, the computation overhead required by fractional pixel ME has become relatively significant. To reduce the complexity of the fractional pixel ME algorithm, a directionality-based fractional pixel ME algorithm is proposed. The proposed algorithm efficiently explores the neighborhood positions which with high probability to be the best matching around the minimum one and skips over other unlikely ones. Thus, the proposed algorithm can complete the search by examining only 3 points on appropriate condition instead of 17 search points in the search algorithm of reference software. The simulation results show that the proposed algorithm successfully optimizes the fractional-pixel motion search on both half and quarter-pixel accuracy and improves the processing speed with low PSNR penalty.     

复杂仿真系统重用模型可信度评估方法

在资源高度共享的今天,模型重用可增强仿真应用的灵活性和可扩展性,是复杂仿真系统构建的必然选择。然而,评估多模型组合仿真下的可信性是模型能否实现有效重用的基本问题。针对面向实物和面向数值解算两个不同应用环境的仿真模型重用,提出基于偏差传播的仿真重用模型可信度评估方法,详细介绍了各自建模方式及评估方法。以无人机复杂仿真系统为例,通过与经典可信度评估方法对比,说明了该方法可降低在重用模型可信度方面的评估难度,验证了方法的可行性。     

基于VR运动模拟器的体感模拟算法的研究

针对VR(Virtual Reality)运动模拟器使用的经典体感模拟控制算法存在相位延迟、虚假暗示的缺点导致虚实运动一致性不够,引发VR晕动症的问题,提出了一种改进体感模拟算法。改进体感模拟算法在经典模拟算法的基础上加入了前庭感知系统,对算法的输出误差进行反馈,采用模糊控制算法对输入加速度和角速度进行修正和预测,并且对虚拟现实中地形的起伏变化进行模拟。在MATLAB/Simulink中对改进体感模拟算法进行建模仿真,仿真结果表明改进体感模拟算法降低了相位延迟和虚假暗示,提高了虚实运动的一致性。     

基于改进神经网络的多AUV全覆盖路径规划

针对三维环境下的多自主水下机器人(Autonomous Underwater Vehicle,AUV)全覆盖路径规划问题,提出一种基于改进神经网络—Glasius生物启发神经网络（Glasius Bio-inspired Neural Network,GBNN）的全覆盖路径规划算法。对AUV的水下工作环境构建离散的三维栅格地图;根据栅格地图,建立相对应的三维GBNN模型;根据GBNN活性值的动态变化,AUV规划各自的搜索路径,对水下任务区域进行全覆盖搜索。仿真结果表示,多AUV可以协同完成覆盖搜索任务,能够自动避开各类静态和动态的障碍物,自动逃离路径的死锁区。     

一种激光驾束制导武器半实物仿真系统构建及试验方法

激光驾束制导武器半实物仿真必须借助二维平动系统,但由于二维平动系统受限于技术指标不高,无法满足弹目相对运动模拟速度和加速度要求较高的武器系统开展仿真试验的弊端,提出一种新的激光驾束制导武器半实物仿真系统构建及试验方法。采用“二轴转台+负载支架”的仿真系统构建方式,利用二轴转台的转动角运动代替二维平动系统的线运动来实现导弹在激光信息场中弹目相对运动和位置变化的模拟,很好地解决了传统方法存在的种种弊端,试验结果进一步验证了该方法具有很好的仿真效果。     

基于树型空间的三维树木模型匹配

为解决三维树木模型的检索具有正确率低、检索效率低、描述不匹配等问题,提出一种基于树型空间的三维树木模型匹配方法。该方法通过构建三维树木模型数据集的树型空间,辅以主轴匹配,轮廓匹配,枝干匹配等方式,经过树型空间中欧氏距离和测地线度量差异值,逐步匹配到相应的三维树木模型,该方法分别在通用模型数据集和自我设计的模型数据集进行了匹配性实现,结果表明可以较大幅度提升树木模型匹配的准确率,利于三维树木模型的大规模检索和重用。     

基于泊位坐标的无人船自主靠泊仿真研究

针对神经网络自主靠泊控制器只能完成特定港口的靠泊,而无法拓展到其他没有训练数据的泊位这一问题,提出一种以泊位顶点为原点,岸线为y轴的坐标系(泊位坐标系)。采用泊位坐标系中相对位置来训练神经网络控制器,在V.Dragon-5000航海模拟器中选取集装箱船“银河号”,在大连港进行靠泊训练后,成功将靠泊控制器拓展到没有训练数据的深圳蛇口港与新加波樟宜港。仿真验证了采用新建立的坐标系可以拓展神经网络自主靠泊控制器适用范围,减小训练数据所需的成本。     

基于博弈论的化工园区合作巡逻策略研究

化工园区的生产活动对周围的大气环境和居民健康构成了巨大威胁,需要园区管理团队对化学生产过程和气体排放进行严格监管以保证空气质量,对各化工厂进行巡逻是一种有效的方法。基于博弈论研究多辆巡逻车的合作巡逻策略,提出了贪婪部署算法确定巡逻车的初始部署,采取静态分区的合作方法将化工园区划分成多个小区域,在化工厂和巡逻车之间构建巡逻博弈模型,通过MultiLPs算法计算得到博弈的Stackelberg均衡解。选取Antwerp化工园区进行案例研究,结果表明巡逻车可以将收益提高8.08%~35.24%。