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1.
为了解决EMD方法存在的模态混叠的问题,更加精确有效的利用振动信号进行齿轮的故障识别和诊断,提出一种将总体平均经验模态分解(EEMD)和隐马尔科夫模型(HMM)结合的齿轮故障诊断方法。首先对采集到的原始齿轮振动信号进行EEMD处理,获得包含主要故障信息的各阶固有模态函数(IMF)分量,以能量为元素,提取并构造特征向量,对特征向量进行HMM模型训练和诊断测试,来识别齿轮的工作状态和故障类型,实验结果表明,该方法可以有效提高齿轮的故障诊断准确率和精度。  相似文献   
2.
基于隐马尔科夫模型的DNA序列分类方法   总被引:1,自引:0,他引:1  
DNA序列分类是生物信息学的一项基础任务,目的是根据结构或功能的相似性预测DNA序列所属的类别。为进行有效分类,如何将序列映射到特征向量空间并最大程度地保留序列中蕴含的碱基间顺序关系是一项困难的任务。为克服现有方法容易导致因DNA序列碱基残缺而影响分类精度等问题,提出一种新的DNA序列特征表示方法。新方法首先为每条序列训练一个隐马尔科夫模型(HMM),然后将DNA序列投影到由HMM状态转移概率矩阵的特征向量构成的向量空间中。基于这种新的特征表示法,构造了一种 K-NN分类器对DNA序列进行分类。实验结果表明,新型特征表示方法可以较为完整地保留 DNA 序列中不同碱基间的关系,充分反映序列的结构信息,从而有效提高了序列的分类精度。  相似文献   
3.
为了解决传统安全评估方法不能详细刻画安全态势变化以及安全指标确定不够科学、全面的问题,提出了基于隐马尔可夫模型(HMM)的主机系统安全态势实时评估方法,从攻击的可信度、严重度、资产值和敏感度方面分析影响攻击威胁度等因素,利用HMM模型计算主机系统处于不同安全状态的概率.通过实例表明,该方法能对IDS的报警信息进行科学响应,动态获取主机系统安全态势变化曲线,为管理员了解和防范主机系统安全风险提供指导,具有一定的科学性和实用性.  相似文献   
4.
对嵌入式语音识别系统所涉及的硬件、外围接口电路作了分析比较,重点分析了S3C2410和存储模块;对嵌入式操作系统Windows CE和Linux作了介绍,重点分析了Linux及其引导程序BootLoader;对嵌入式系统识别算法的选取作了分析研究。  相似文献   
5.
In this article, we present an efficient two‐pass search strategy for the implementation of a Hidden Markov Model (HMM)‐based music identification system. In our previous work, we demonstrated a single‐pass HMM‐based music identification system, considering its application to music copyright protection. This conventional system showed very robust performance to signal‐level variations between perceptually identical music files. However, it requires heavy computation for search. In the proposed two‐pass search system, the conventional single‐pass search is extended to two‐pass. In pass 1 of the proposed method, a queried music produces an accumulated band energy histogram which is a set of normalized sums of band energies for each frequency bin. This histogram is compared to all of the histograms for the registered music files. The system generates a list of small number of most probable music files among the all of the registered music files. In pass 2, HMM‐based search is applied only to candidate music files selected in pass 1. Using the proposed two‐pass strategy, we successfully implemented a HMM‐based music identification system, which maintains the same level robustness to signal level variations between perceptually identical music files but also produces the identification result very quickly. © 2013 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 23, 127–132, 2013  相似文献   
6.
Reliable and high-performance resource scheduling for Virtual Machines (VMs) in cloud can guarantee the efficiency of remote rescue with telehealth system. When a local disaster, e.g. earthquake and tsunami, happens in a densely populated area, the surging health care demand leads to the increasing workload in Data Centers (DCs) by storing and delivering a mass of patients’ information and real-time physiology signals. However, the current self-adaptive scheduling methods cannot provide a high-accuracy recognizing of the two conditions: urgency or normal, which would procrastinate the system into a high-performance status, while the best rescue time is lost. In this paper, we propose a Primary Node-based architecture for typical telehealth service on cloud, which takes into account both storage and delivery efficiency. We also design a novel algorithm to predicting and allocating the future bandwidth of all VMs in the telehealth service context. This method is able to dynamically adjust each parameter of a Hidden Markov Model (HMM) through collecting the historical information of the bandwidth workload. After we predict the future bandwidth consumption of VMs, a high-performance scheduling method is used to adjust the bandwidth to each VM for health care service. The simulation results prove that this algorithm provides a high-accurate prediction, which guides the allocating module to make decision before the request burst comes. Nevertheless, our algorithm improves the reliability of telehealth services for storing and delivering patients’ information among DCs.  相似文献   
7.
This paper presents a segment-based probabilistic approach to robustly recognize continuous sign language sentences. The recognition strategy is based on a two-layer conditional random field (CRF) model, where the lower layer processes the component channels and provides outputs to the upper layer for sign recognition. The continuously signed sentences are first segmented, and the sub-segments are labeled SIGN or ME (movement epenthesis) by a Bayesian network (BN) which fuses the outputs of independent CRF and support vector machine (SVM) classifiers. The sub-segments labeled as ME are discarded and the remaining SIGN sub-segments are merged and recognized by the two-layer CRF classifier; for this we have proposed a new algorithm based on the semi-Markov CRF decoding scheme. With eight signers, we obtained a recall rate of 95.7% and a precision of 96.6% for unseen samples from seen signers, and a recall rate of 86.6% and a precision of 89.9% for unseen signers.  相似文献   
8.
The new Polaroid ® instant colour print system, SX-70, uses metallized dyes, cyan, magenta, and yellow, which have superior light fastness properties. Structures for the dye developers are given, and also comparative fading data for the colour prints and a high quality commercial chromogenic colour print material. A further step of improvement has been achieved in another experimental colour print material using the same dyes. In the SX-70 print the processing chemicals remain with the picture.  相似文献   
9.
为实现便捷高效的人机交互,提高交互能力,在基于隐马尔可夫模型(HMM)的基础上,提出了一种新的3D手写识别方法。该方法使用带有三轴加速度传感器的手持设备去采集各种手写数据;使用插值及快速傅里叶变换(FFT)滤波等方法对采集的数据进行预处理;使用隐马尔可夫模型对每个手写动作进行模型训练;使用训练过的手写模型对采集的数据进行手写识别。数据测试结果表明,该方法在手持移动设备上数据分类的准确性可达到84.5%。  相似文献   
10.
结合语音识别技术、嵌入式技术设计了智能家居语音控制系统,根据智能家居控制的特点以及人机自然交互的理念,设计了一种利用S3C2410设计的智能家居语音控制器,给出了整体设计框图、硬件电路的各部分具体构成以及相应的软件设计思想。该方案设计并研制出的语音控制器具有成本低,且既能进行本地控制又能通过PSTN实现远程控制的特点。实验表明,该语音控制系统的语音识别效率高,可靠性强。  相似文献   
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