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Search Results: 1 - 10 of 37854 matches for " 屈剑锋 "
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传感器网络同步态的节点故障诊断算法
Nodes fault diagnosis algorithm based on sensor network synchronous state

张颖,,任浩
- , 2016, DOI: 10.11835/j.issn.1000-582X.2016.04.021
Abstract: 首先介绍了复杂网络同步态的概念,以传感器量测数据为节点,定义了随时间动态变化的传感器网络,采用数学分析方法定量描述了传感器网络的动力学机制,给出了传感器网络同步态的数学定义、计算方法及其实际的物理含义。理论推导表明,同步态从全局角度评价传感器网络的健康程度,以量测数据距离关联性定义复杂网络的耦合矩阵A=(aij)N×N,并以该耦合矩阵零特征值对应的左特征向量(ξ1,ξ2,...,ξN)来刻画传感器网络节点的局部细节信息,进而衍生出基于传感器网络同步态的节点故障诊断算法,实现传感器网络的故障诊断。实验仿真了由100个传感器组成的复杂网络,采集了在稳定运动60 s期间的的量测数据,每个量测数据长度为5 000,其中有3个传感器处于间歇增益故障状态,以此来验证基于传感器网络同步态的节点故障诊断算法的有效性。结果表明,该算法不仅可以很好地跟踪整个传感器网络的工作状态,实时监测每个传感器网络节点的故障,而且可以利用传感器网络节点故障之间的相关性有效地识别出传感器量测数据的异常是由外界量测对象的改变还是由传感器本身故障引起的。该算法为全局评估传感器网络的工作状态和监测网络节点的局部故障提供了一个新颖可行的研究思路,期望为相关领域的研究学者提供有益的参考。
First, the concept of complex network synchronous state was introduced in this paper. Then a sensor network varying with time was defined by taking the data measured by sensors as nodes, and the dynamic mechanics of the sensor network was quantitatively described with mathematical analysis method. Finally, the mathematical definition, the calculation method and the physical meaning of the sensor network synchronous state were given. The above theoretical derivation show synchronous state can globally assess the health of the sensor network. The couple matrix A=(aij)N×N of complex network was defined by the distance relevance of the measured data. And the left eigenvector (ξ1,ξ2,...,ξN)corresponding to the zero feature of the matrix was used to character the local details of sensor network nodes. Then, a node fault diagnosis algorithm was derived based on sensor network synchronous state. A complex network which consists of 100 sensors was experimentally simulated. We collected the measured data in 60 s during the stable operation with each length of 5000, and there were 3 sensors in intermittent gain fault state to verify the effectiveness of the proposed method. The simulation results show that the proposed method can not only track the work state of the whole sensor work and monitor the faults of each node in real-time, but also distinguish the abnormal data caused by the change of external objects or by sensor faults through combining the relevance between the node faults. The proposed algorithm can provide a feasible research idea of assessing the global state of the sensor network and monitoring the partial fault of network nodes, and it's hoped the algorithm can provide references to researchers in related fields
改进卡尔曼算法在电子鼻信号处理中的应用
,柴毅,郭茂耘,石为人
重庆大学学报 , 2009, DOI: 10.11835/j.issn.1000-582X.2009.12.017
Abstract: 为了降低的电子鼻测量过程中噪声信号对采样结果的影响,提出一种改进的自适应卡尔曼滤波算法,该方法能自适应调整测量方差以及能够滤除传感器本身具有的非高斯噪声信号。针对电子鼻测量过程中的信号特性,建立了测量数据处理的卡尔曼滤波模型,重点讨论改进卡尔曼滤波算法,并将该算法应用到电子鼻测量数据处理过程中,结果表明该方法能够拟制电子鼻测量过程中产生的噪声,提高电子鼻的测量精度。
一种嵌入式linux环境下图像压缩及传输的实现
杨天怡 刘宇 柴毅?
计算机科学 , 2006,
Abstract: 本文以s3c2410和armljnux操作系统下web服务器为基础,研究了视频图片压缩及其传输的实现方法。采用离散余弦变换jpg图像编码,应用于图像传输中以减小数据流量。实现了具有视频采集、软件图像压缩及网络传输的低成本模块,可以直接接入以太网,能满足工厂环境或一些实时性不高的监控应用需要。
人体腿部表面肌电信号特征提取方法
Feature extraction method of sEMG of human legs

王坤朋,庞杰,石磊,
- , 2017, DOI: 10.11835/j.issn.1000-582X.2017.11.010
Abstract: 表面肌电信号(sEMG,surface electromyography)作为人体运动检测的主要信息源之一,已被广泛应用于康复训练福祉机器人领域。针对人体下肢动作识别的问题,提出了一种针对表面肌电信号进行小波变换的特征提取方法。在肌电信号的频域分布中,该方法选取小波子空间中活动段的平均功率组成特征向量。为验证所提出方法的有效性,设计实现了一种微型便携式多通道sEMG信号采集系统,并利用支持向量机(SVM,support vector machine)构建分类器对腿部动作进行识别。实验结果表明:该方法能有效识别腿部常见的4种动作,同一个体动作识别率能达到95%以上,不同个体识别率平均能达到85%,能够较好地应用于下肢运动障碍患者的日常康复训练。
Surface electromyography(sEMG) is one of the main information sources of human motion detection and has been widely used in the field of well-being of robots. We present a feature extraction method based on wavelet transform power for identifying the movement of human legs. The average power of the active segment in wavelet subspace is used to make up the feature vector according to the frequency domain distribution of the sEMG signal. In order to verify the effectiveness of the proposed method, we design and implement a small portable multi-channel sEMG signal acquisition system, and construct a classifier with support vector machine (SVM) to identify the leg movements. The results of the study show that the method can distinguish four kinds of common actions of the leg, the recognition rate of the same individual can reach more than 95%, and the recognition rate of different individuals can reach 85%, which can be applied to daily rehabilitation training of patients with lower limb movement disorders
Node localization method based on anchor clustering in wireless sensor networks
一种基于锚节点分簇的传感器网络节点定位方法*

QU Jian-feng,GUO Mao-yun,
,郭茂耘

计算机应用研究 , 2011,
Abstract: This paper proposed a method of nodes localization based on anchor clustering(LAC),improved the localization accuracy by using this method in the wireless sensor networks.All the nodes was divided into many clusters which anchor as a center autonomously and the fake anchor defined as the node located on margins of clusters.Built the distance matrix between the nodes by using measuring methods,obtained a local relative map of a cluster by using multi-dimensional scaling(MDS) algorithm and anchor positional i...
深度学习在故障诊断领域中的研究现状与挑战
任浩,,柴毅,唐秋,叶欣
- , 2017, DOI: 10.13195/j.kzyjc.2016.1625
Abstract: 现代工业系统已呈现出向大型化、复杂化的方向发展,使得针对工业系统的故障诊断方法遇到一系列的技术难题.近年来,深度学习(deep learning)在特征提取与模式识别方面显示出独特的优势与潜力,将深度学习应用于解决复杂工业系统故障诊断的研究已初现端倪.为此,首先介绍几种典型的基于深度学习方法实现工业系统故障诊断方法;然后对基于深度学习实现故障诊断的主要思想和建模方法进行描述;最后总结和讨论了复杂工业系统故障的特点,并探讨了深度学习在实现复杂工业系统故障诊断方面所面临的挑战,展望了未来值得继续研究的方向.
A Method of Image Compressing and Transmitting Based on Embedded Linux
一种嵌入式Linux环境下图像压缩及传输的实现

YANG Tian-Yi,LiU Yu,QU Jian-Feng,CHAI Yi,
杨天怡
,刘宇,,柴毅

计算机科学 , 2006,
Abstract: In nowadays surveillance system,it's a great trend that to use low cost and general-purposed network cam- era as it's image input device.And this trend helps the traditional surveillance system to be more convenient and pow- erful.The system that we discusses in this thesis,gives a solution for industry clients,is based on the platform which embedded Linux and Samsung S3C2410.The thesis discusses and realizes the DCT image compressing,which diminish the data flow in the image transmitting.
太阳能选择性涂层吸收光谱仪
The Spectrograph of Solar Selection Coatings
 [PDF]

ИвановататъянаСергеевна,,, 王德真
Instrumentation and Equipments (IaE) , 2015, DOI: 10.12677/IaE.2015.31003
Abstract:
本文介绍了太阳能选择性涂层光谱仪的设计原理、结构和光学测量系统,测量系统由试样加热系统、真空系统、光学系统、水冷系统、高精度积分球反射测量系统、温度检测与控制系统和计算机数据采集系统等组成。可用于室温至500℃和400~10,000 nm光谱范围内的光谱发射率特性精密测量,测量精度优于3%。为研究新型太阳能选择性涂层和制造高效率太阳能集热管,提供必要基础。
In this paper, the designing principal, the construction and the optical measurement system of the solar selective coatings spectrograph were introduced. The measurement system consists of sample heating system, vacuum system, optical system, water-cooling system, high-precision integrat- ing-sphere reflecting measurement system, temperature test and control system, computer data acquisition system and so on. The spectrograph can be used for critically measuring the spectral emissivity characteristics with wave of 300 nm - 10,000 nm from indoor temperature to 500?C and the measurement precision is better than 3%. It provides the necessary foundation for research of new solar selective coatings and manufacture of high-efficiency solar collector.
海阳市春播期间气候条件分析
The Haiyang Climatic Conditions Analysis in Spring Sowing Period
 [PDF]

, 孙英慧, 许云涛
Climate Change Research Letters (CCRL) , 2016, DOI: 10.12677/CCRL.2016.53021
Abstract:
海阳市是农业大市,主要春播作物有花生、春玉米、地瓜、芋头等,常年春播作物播种面积大约30,000 hm2。为合理利用气候资源,趋利避害,本文根据本站最近55a气象资料,对春播期间的气候条件进行了回归分析和Mann-Kendall检验分析,结果表明:1)海阳市春播期间平均气温年际序列变化呈增加趋势,气候倾向率为0.28℃/10a,春播适播期逐渐前移;2)春播期降水量年际序列变化呈减少趋势,但气候倾向率很小。降水偏少、春旱发生的机率大是影响春播的主要原因。
Haiyang City is an agricultural city. The main spring crops are peanuts, corn, sweet potatoes, taro and so on. Perennial sown area of spring crops is about 30,000 hm2. In order to utilize the climate resources rationally, while avoiding the disadvantages, this paper carried out the regression analysis and Mann-Kendall test analysis on the climate conditions during spring sowing period, according to the recent 55a meteorological data. The results show that: 1) The average yearly temperature sequence changes in Haiyang City during spring sowing period are tending to increase. The climate tendency rate is 0.28?C/10a, the spring sowing period gradually comes earlier. 2) The average yearly precipitation sequence changes are tending to decrease but the climate tendency rate is very low. Less precipitation and the high chance of spring drought are the main factors influencing the spring sowing.
Highlight on recent capillary electrophoresis research
毛细管电泳研究最新亮点

QU Feng,

色谱 , 2010,
Abstract: 1 无机多聚磷酸盐的毛细管凝胶电泳分析 多聚磷酸盐是一种由几个至数百个磷酸残基相互聚合形成的线性多聚体,广泛存在于自然界的无机环境和细菌、真菌等低等单细胞生物和高等哺乳动物等生命有机体中.多聚磷酸盐分析是探寻地球生命的化学和生物起源的基本研究内容.
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