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2018 Eighth International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC)最新文献

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Technology Close-Loop Modeling Based on the Combination of the UML and B Method 基于UML和B方法相结合的技术闭环建模
Fengsheng Jia, Hongtao Yao, Yuming Wang
In order to make software developers understand the object responsibility and operation process of technology close-loop, we study the modeling methods about quality problem technology close-loop. Based on the analysis of key activities, extracting the close-loop class and operation activity, we study the extracted rules of class and activity. To effectively describe the detail of close-loop activity, the extracted close-loop class and operation activities are formalized by B method. The translated rules are studied from close-loop class and operation activity to B abstract machine. An example is given to demonstrate the proposed methods, which provides an effective model with clear object and explicit process about technology close-loop
为了使软件开发人员了解技术闭环的对象责任和运行过程,研究了质量问题技术闭环的建模方法。在分析关键活动、提取闭环类和操作活动的基础上,研究了类和活动的提取规则。为了有效地描述闭环活动的细节,采用B方法对提取的闭环类和操作活动进行形式化。研究了从闭环类和操作活动到B抽象机的转换规则。通过实例验证了该方法的有效性,为技术闭环提供了一个目标明确、过程明确的有效模型
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引用次数: 0
Intelligent Verification System Based on RFID Smart Electricity Meter 基于RFID智能电表的智能检定系统
Bo Du, Qiong Wu, Q. Su, Dixing Li, Jingzhi Qu, Jue Wang, Yang Yang
With the centralization of measurement assets, standardized management and the launch of a new generation of RFID smart electricity meters, the traditional methods of man-machine verification of electricity meters have been unable to meet the demand. In order to realize the verification of RFID smart electricity meters and improve the verification efficiency and the informatization management level, and liberate the labor force of inspectors, on the basis of existing smart meter detection system, this paper designed a new intelligent detection system based on RFID smart electricity meter. RFID technology is applied to the smart electricity meter verification system. The system can meet fully automatic verification of RFID smart meters, and effectively track and record the verification data of RFID smart meters, which greatly improves the verification efficiency.
随着计量资产集中化、规范化管理以及新一代RFID智能电表的推出,传统的电表人机检定方法已经无法满足需求。为了实现对RFID智能电表的验证,提高验证效率和信息化管理水平,解放检验人员的劳动力,本文在现有智能电表检测系统的基础上,设计了一种基于RFID智能电表的新型智能检测系统。将RFID技术应用于智能电表检定系统。该系统可以满足RFID智能电表的全自动验证,并有效地跟踪和记录RFID智能电表的验证数据,大大提高了验证效率。
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引用次数: 0
Low-Complexity Iterative Block Decision Feedback Equalization for SC-FDE System SC-FDE系统的低复杂度迭代分块决策反馈均衡
Henghao Liang, Yongkui Ma
The Single Carrier Frequency Domain Equalization (SC-FDE) system can effectively work in frequency selective fading channels. The Iterative Block Decision Feedback Equalization (IBDFE) is efficient nonlinear equalization in SC-FDE systems. However, the computational complexity is high and the complexity is proportional to the number of iterations. In this paper, a low-complexity IB-DFE is proposed. The transmitted symbols go through a linear equalizer based on the minimum-mean-square-error (MMSE) criterion and the estimated symbols is as the output of the conventional feedback equalizer. The feedforward equalizer structure remains the same. Compared with the conventional IBDFE, the iteration is cancelled and the implementation complexity is reduced. Simulation results show that the performance of the proposed simplified design is similar to the traditional iterative IBDFE under frequency selective fading channels, but it imposes a lower complexity than the conventional IBDFE.
单载波频域均衡(SC-FDE)系统可以有效地工作在频率选择性衰落信道中。迭代块决策反馈均衡(IBDFE)是SC-FDE系统中一种有效的非线性均衡方法。但计算复杂度较高,且复杂度与迭代次数成正比。本文提出了一种低复杂度的IB-DFE。传输的信号经过基于最小均方误差(MMSE)准则的线性均衡器,估计的信号作为传统反馈均衡器的输出。前馈均衡器结构保持不变。与传统的IBDFE相比,省去了迭代,降低了实现复杂度。仿真结果表明,在频率选择性衰落信道下,简化设计的性能与传统迭代IBDFE相似,但复杂度低于传统IBDFE。
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引用次数: 0
Design and Simulation of a Micromechanical Silicon Resonant Accelerometer with Low Temperature Sensitivity 低温灵敏度微机械硅谐振加速度计的设计与仿真
Yang Gao, Hongsheng Li, Libin Huang, Songli Wang
Because of the mismatch of material properties between silicon and glass, especially the mismatching thermal expansion coefficients, the Micromechanical Silicon Resonant Accelerometer based on the Deep Dry Silicon On Glass (DDSOG) technique is seriously affected by the temperature during the fabrication, packaging and use processes. Based on the working principle and temperature characteristics of Micromechanical Silicon Resonant Accelerometer, the effect of the mismatching thermal expansion coefficients of silicon and glass is analyzed, and a Single-Anchor-Supported accelerometer structure with low temperature sensitivity is designed. Simulation results show that the structure can effectively reduce the effect of mismatching thermal expansion coefficients of silicon and glass.
由于硅与玻璃材料性能的不匹配,特别是热膨胀系数的不匹配,使得基于深干玻璃上硅(DDSOG)技术的微机械硅谐振加速度计在制作、封装和使用过程中受到温度的严重影响。基于微机械硅谐振加速度计的工作原理和温度特性,分析了硅与玻璃热膨胀系数不匹配对加速度计的影响,设计了一种低温度灵敏度的单锚支加速度计结构。仿真结果表明,该结构能有效降低硅与玻璃热膨胀系数不匹配的影响。
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引用次数: 1
Spacecraft Short-Term Fault Prediction Method Based on Echo State Network Time Series 基于回波状态网络时间序列的航天器短期故障预测方法
Dawei Wang, Zhiyun Tan, Naihai Li, Yifan Liu, Xiaojun Han, Jian Liang
In this paper, the fault prediction method of spacecraft electrical equipment is studied with telemetry data. After analyzing the pattern of object fault and the law of telemetry data change, the fault prediction method of spacecraft electrical equipment based on telemetry data is proposed, and the application of the prediction method is analyzed. The results show that for short-term fault prediction, the short-term fault prediction with echo state network time series is better, and the average relative error of the prediction results is small. It can predict the changing trend of satellite telemetry parameters, and provide an effective tool for the management and decision of spacecraft in orbit.
本文研究了利用遥测数据进行航天器电气设备故障预测的方法。在分析了物体故障模式和遥测数据变化规律的基础上,提出了基于遥测数据的航天器电气设备故障预测方法,并对该预测方法的应用进行了分析。结果表明,对于短期故障预测,回声状态网络时间序列的短期故障预测效果较好,预测结果的平均相对误差较小。它可以预测卫星遥测参数的变化趋势,为在轨航天器的管理和决策提供有效的工具。
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引用次数: 0
Hierarchical Quantitative Evaluation of Vulnerability Exploitability 漏洞可利用性的分层定量评价
Lu Yu, Yi Sheng, Zulie Pan
Vulnerabilities have become one of the most important factors thread network safety. Vulnerability evaluation can help to judge its exploitability. However, the Common Vulnerability soring System(CVSS)'s granularity is too coarse and it does not consider the different weight of factors. This paper select the special factors related to the vulnerability exploitability and uses hierarchical analysis, information entropy and fuzzy comprehensive evaluation to evaluate the vulnerability exploitability, which is proved to be more precise than the CVSS evaluation method.
漏洞已经成为影响线程网络安全的最重要因素之一。脆弱性评价有助于判断其可利用性。然而,通用漏洞审查系统(CVSS)的粒度太粗,没有考虑到因素的不同权重。选取与漏洞可利用性相关的特殊因素,采用层次分析法、信息熵法和模糊综合评价法对漏洞可利用性进行评价,结果表明,该方法比CVSS评价方法更精确。
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引用次数: 1
A Poisson-Disk Sampling Based Strategy for Node Placement in Wireless Sensor Network 基于泊松盘采样的无线传感器网络节点布局策略
Jianrong Wang, Wenkai Shi, Ru Wang, Ruiguo Yu, Mei Yu, Xiang Ying
Wireless Sensor Network (WSN) is a popular research field in recent years. This paper focuses on node placement of WSN applications, as monitoring physical value (e.g., temperature) or tracking paths of moving objects in surrounding environment. Inspired by anti-aliasing theory in sampling field, we present a Poisson-disk Sampling (PDS) based strategy for WSN node placement. With the theory of sampling, we study the spectral properties of node distribution, in order to reduce the deviation of data collection result. Simulation results show that PDS outperforms other placement methods, such as regular and random strategies, in terms of monitoring surrounding environment. In addition, we apply the PDS-based strategy to various WSN applications and design a simple energy-saving pattern with coverage and connectivity preserved.
无线传感器网络(WSN)是近年来研究的一个热点。本文主要研究WSN应用中的节点放置,如监测物理值(如温度)或跟踪周围环境中运动物体的路径。受采样领域抗混叠理论的启发,我们提出了一种基于泊松盘采样(PDS)的WSN节点放置策略。利用采样理论,研究节点分布的谱特性,以减少数据采集结果的偏差。仿真结果表明,PDS在监测周围环境方面优于常规和随机策略等其他放置方法。此外,我们将基于pds的策略应用于各种WSN应用,并设计了一种简单的节能模式,同时保留了覆盖和连通性。
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引用次数: 0
Application of PSO-RBF Neural Network in MBR Membrane Pollution Prediction PSO-RBF神经网络在MBR膜污染预测中的应用
Yingxin Tao, Chunqing Li
In order to predict MBR fouling more accurately, based on the research of various forecasting models in the field of MBR, principal component analysis is used to determine the main factors influencing membrane fouling firstly, such as MLSS, operating pressure and temperature, and then the prediction model based on RBF neural network was established.Aiming at the existing problems of traditional radial basis function(RBF) neural network in MBR membrane pollution prediction, a new prediction model is proposed:Particle Swarm Optimization Based on RBF Neural Network.The global search ability of Particle Swarm Optimization(PSO) is used to optimize the three input parameters of RBF neural network and the optimized RBF network is applied to MBR membrane pollution prediction.The results show that PSO-RBF based fouling simulation simulator is better than pure RBF neural network prediction model in terms of convergence rate and prediction accuracy, which can predict MBR fouling better.
为了更准确地预测膜生物反应器的污染,在对MBR领域各种预测模型进行研究的基础上,采用主成分分析法确定了影响膜生物反应器污染的主要因素,如MLSS、操作压力和温度,然后建立了基于RBF神经网络的膜生物反应器污染预测模型。针对传统径向基函数(RBF)神经网络在MBR膜污染预测中存在的问题,提出了一种新的预测模型:基于RBF神经网络的粒子群优化。利用粒子群算法(PSO)的全局搜索能力对RBF神经网络的三个输入参数进行优化,并将优化后的RBF网络应用于MBR膜污染预测。结果表明,基于PSO-RBF的污垢仿真模拟器在收敛速度和预测精度方面都优于纯RBF神经网络预测模型,能够更好地预测MBR污垢。
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引用次数: 0
A Remote Ultra-Low-Power Data Supervisory System Based on Internet of Things 基于物联网的远程超低功耗数据监控系统
Zhanxiong Wu, Zhong Li, Yu Zeng, Mingyu Gao
This paper describes a remote ultra-low-power data supervisory system based on Internet of things (IoT). It can serve as a terminal for remote meter reading or a data supervisory system for various digital instruments. The whole system is made up of two units, namely data acquisition and saving, data uploading and parameter configuration. The system has two excellent features, namely ultra-low-power and diversity of data acquisition. Actual test results show the system runs stability in an ultra-low-power.
介绍了一种基于物联网的远程超低功耗数据监控系统。它可以作为远程抄表的终端,也可以作为各种数字仪表的数据监控系统。整个系统由数据采集与保存、数据上传和参数配置两个单元组成。该系统具有超低功耗和数据采集的多样性两大特点。实际测试结果表明,该系统在超低功耗下稳定运行。
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引用次数: 0
The Finite-Time Stability of a Class of Fractional Order Nonlinear Systems via Dynamic Sliding Mode 一类分数阶非线性系统的动态滑模有限时间稳定性
K. Shao, Y. Zhang
In this paper, the finite-time stability of a class of fractional order nonlinear systems is studied. By using the finite-time stability and the sliding mode control theory, a new dynamic sliding-mode controller is proposed, which will restrain the chattering and accelerated arrival at the sliding surface. The finite-time stability of the fractional-order nonlinear systems with external disturbances and uncertainties is achieved under the designed controller. Finally, one typical examples of three-dimensional fractional order Lorenz system are used to demonstrate the effectiveness and feasibility of the designed controller.
研究了一类分数阶非线性系统的有限时间稳定性问题。利用有限时间稳定性和滑模控制理论,提出了一种新的动态滑模控制器,可以抑制抖振和加速到达滑模表面。在所设计的控制器下,实现了具有外部干扰和不确定性的分数阶非线性系统的有限时间稳定性。最后,以三维分数阶洛伦兹系统为例,验证了所设计控制器的有效性和可行性。
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引用次数: 1
期刊
2018 Eighth International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC)
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