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飞行动作识别是客观评估飞行训练质量的基础。复杂机动动作具有较强的随机性和模糊性,传统的飞行动作识别方法难以有效识别。为此,提出一种基于贝叶斯网络的飞行动作识别方法。根据飞行动作中参数曲线形态特征,采用基于DTW距离的时间序列层次聚类方法进行分类;通过依赖统计分析方法确定参数曲线的描述特征;根据形态特征和描述特征构建贝叶斯网络;利用贝叶斯网络进行推理。仿真实验结果表明,基于贝叶斯网络的飞行动作识别方法对复杂机动动作具有较高的识别率。 相似文献
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随着物联网技术的发展,物联网设备广泛应用于生产和生活的各个领域,但也为设备资产管理和安全管理带来了严峻的挑战.首先,由于物联网设备类型和接入方式的多样性,网络管理员通常难以得知网络中的物联网设备类型及运行状态.其次,物联网设备由于其计算、存储资源有限,难以部署传统防御措施,正逐渐成为网络攻击的焦点.因此,通过设备识别了解网络中的物联网设备并基于设备识别结果进行异常检测,以保证其正常运行尤为重要.近几年来,学术界围绕上述问题开展了大量的研究.系统地梳理物联网设备识别和异常检测方面的相关工作.在设备识别方面,根据是否向网络中发送数据包,现有研究可分为被动识别方法和主动识别方法.针对被动识别方法按照识别方法、识别粒度和应用场景进行进一步的调研,针对主动识别方法按照识别方法、识别粒度和探测粒度进行进一步的调研.在异常检测方面,按照基于机器学习算法的检测方法和基于行为规范的规则匹配方法进行梳理.在此基础上,总结物联网设备识别和异常检测领域的研究挑战并展望其未来发展方向. 相似文献
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基于BP神经网络的手写体数字识别 总被引:3,自引:1,他引:2
手写体数字识别是多年来的研究热点,也是字符识别中的一个特别问题.由于手写体数字字体变化很大,传统的识别方法很难达到高的识别率.针对传统的数字识别方法的复杂性和局限性,提出了一种基于BP神经网络的手写体数字的识别方法.该方法在提取手写体数字点特征、笔划密度特征基础上,利用改进的BP神经网络进行训练识别.经实验,识别率达94%.实验结果表明,该方法对手写体数字识别效果良好,不仅简化了传统识别的繁杂性,而且提高了识别的准确性. 相似文献
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Internet流量识别技术研究 总被引:4,自引:0,他引:4
流量识别是指根据网络流以及流中数据报文的某些信息将网络上的流分成若干既定的类别.随着网络的高速化,业务应用和协议日趋复杂,传统的基于端口的流量识别方法已经不够准确,因此各种新的识别方法成为研究热点.本文在介绍流量识别的基本概念、流量识别的评价指标的基础上,对目前正在使用或研究的流量识别方法进行了分析比较,指出了现有各种方法的优点和不足,最后给出未来流量识别技术的发展趋势和研究方向. 相似文献
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由于传统故障识别方法的特征提取精度较低,得出的线路巡检元件故障识别的误差较大.于是提出基于FasterR-CNN算法的线路巡检元件故障识别方法.根据线路巡检元件的运行规律划分其状态,并设置相应的状态特征,作为元件故障识别的比对标准.利用巡检机器人内置的硬件设备,实时收集线路巡检图像,并通过压缩和透视畸变校正两个步骤,实现对巡检图像的预处理.构建FasterR-CNN网络模型,并利用该模型提取巡检元件图像特征,并针对防震锤、间隔棒和绝缘子等元件得出最终的故障识别结果.经过仿真测试得出结论,与传统识别方法相比,设计识别方法的mAP指标值提高了0.316,即识别精度有所提升,且识别耗时较短,具有一定的有效性. 相似文献
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针对现有三维人耳提取与识别算法中存在处理时间长、识别率低的问题,提出一种快速三维人耳提取方法和2种三维人耳识别方法.三维人耳提取时,使用不变特征迭代最近点算法使人耳与平均耳对齐,完成位置和姿态的归一化,然后用掩膜提取出三维人耳.第一种=三维人耳识别方法结合人耳深度和曲率信息,采用主元分析算法进行降维.然后用最近邻分类完成识别;第二种三维人耳识别方法则使用不变特征迭代最近点算法对齐测试耳与原型耳,利用配准误差完成人耳识别.实验结果表明,第一种人耳识别方法识别率较高、计算速度很快,第二种人耳识别方法可达到很高的识别率. 相似文献
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Zelong Wang Author Vitae Fengxia Yan Author Vitae Author Vitae Jubo Zhu Author Vitae 《Pattern recognition》2010,43(6):2157-2164
As the development of the technology for radar target recognition, missile target automatic recognition has received considerable attention in recent years. Missile target, compared with the plane target, is hard to recognize for its smallness, feebleness and maneuver. In this paper, a new recognition method based on radar image time-series, which can significantly reduce the recognition time and classification error, is proposed. The image time-series are produced by range instantaneous Doppler imaging algorithm firstly, and then cross-range scaling of the images is processed. In particular, the inertia ratio, extracted from the obtained image time-series, is introduced to distinguish the missile from decoys. Furthermore, the effectiveness of this method is demonstrated by application to simulated data and it has been shown that this method has the potential to be used in a number of real-time applications. 相似文献
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Keisuke Yoneda Toshiki Iida TaeHyon Kim Ryo Yanase Mohammad Aldibaja Naoki Suganuma 《Artificial Life and Robotics》2018,23(4):474-480
The automated driving is an emerging technology in which a car performs recognition, decision making, and control. The decision-making system consists of route planning and trajectory planning. The route planning optimizes the shortest path to the destination like an automotive navigation system. According to static and dynamic obstacles around the vehicle, the trajectory planning generates lateral and longitudinal profiles for vehicle maneuver to drive the given path. This study is focused on the trajectory planning for vehicle maneuver in urban traffic scenes. This paper proposes a trajectory generation method that extends the existing method to generate more natural behavior with small acceleration and deceleration. This paper introduces an intermediate behavior to gradually switch from the velocity keeping to the distance keeping. The proposed method can generate smooth trajectory with small acceleration/deceleration. Numerical experiments show that the vehicle generates smooth behaviors according to surrounding vehicles. 相似文献
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Although there is currently significant development in active vehicle safety (AVS) systems, the number of accidents, injury severity levels and fatalities has not reduced. In fact, human error, low performance, drowsiness and distraction may account for a majority in all the accident causation. Active safety systems are unaware of the context and driver status, so these systems cannot improve these figures. Therefore, this study proposes a ‘context and driver aware’ (CDA) AVS system structure as a first step in realizing robust, human-centric and intelligent active safety systems. This work develops, evaluates and combines three sub-modules all employing a Gaussian Mixture Model (GMM)/Universal Background Model (UBM) and likelihood maximization learning scheme: biometric driver identification, maneuver recognition, and distraction detection. The resultant combined system contributes in three areas: (1) robust identification: a speaker recognition system is developed in an audio modality to identify the driver in-vehicle conditions requiring robust operation; (2) narrow the available information space for fusion: maneuver recognition system uses estimated driver identification to prune the selection of models and further restrict search space in a novel distraction detection system; (3) response time and performance: the system quickly produces a prediction of driver’s distracted behaviour for possible use in accident prevention/avoidance. Overall system performance of the combined system is evaluated on the UTDrive Corpus, confirming the suitability of the proposed system for critical imminent accident cases with narrow time windows. 相似文献
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空战目标机规避仿真设计研究 总被引:1,自引:0,他引:1
针对传统对抗性空战模拟仿真中目标机不能根据战场态势和环境进行自身机动动作调整,缺乏自主智能性的缺陷,在分析机载雷达以及空空导弹的缺陷和不足的基础上,分别建立规避机载雷达机动数学模型及规避空空导弹机动数学模型.设计并建立机动规避专家控制规则库,仿真实现了具有智能机动决策机制的目标规避仿真机.仿真结果表明该智能目标机能够有效的选择自身机动方式,对雷达探测和导弹攻击进行规避躲闪,为模拟空战增添逼真的目标环境,对空战仿真训练具有实际意义. 相似文献
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讨论了空间飞行器大角度机动控制实验平台的实现方法,并给出了硬件系统原理框图和软件的设计流程图;采用变结构控制算法,设计了基于反作用飞轮的大角度姿态机动控制器,并进行了不同角度下的闭环姿态机动控制实验,实验结果验证了该实验平台设计的可行性,对空间飞行器大角度姿态机动的研究提供了一个较好的实验平台. 相似文献