A new prototype of self-validating pressure sensor is described. The elastic body of the transducer is based on circular-flat diaphragm structure. Eight groups of strain gauges are distributed on the diaphragm. One gr...
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A new prototype of self-validating pressure sensor is described. The elastic body of the transducer is based on circular-flat diaphragm structure. Eight groups of strain gauges are distributed on the diaphragm. One group of metal strain gauge with little temperature drift is used as primary pressure sensor, the other seven groups of semiconductor strain gauges with high sensitivity are used as calibration references. Consistency checking is used to detect sensor fault. The outputs of self-validating pressure sensor including validated measurement value (VMV) of pressure, validated uncertainty (VU) of pressure and measurement value status (MVS) of pressure are calculated using the high consistency data. A new fault diagnosis method based on wavelet packet decomposition feature extraction and support vector machine multi-classification is used to identify six sensor fault status. A double DSPs system is implemented to acquire the output signal and complete self-validating methods. The experiment results show that the designed pressure sensor prototype implements the self-validating function. It can detect fault in real-time and identify sensor status with high accuracy.
The main goal of this study was to develop an apparatus that makes it possible to measure both, color, refractive index and light scattering (turbidity) of red wines using a single device only. Typically such measurem...
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Two image sensors simulate directly the way of disposing images with the humanpsilas two eyes, so it has important value to apply to many domains, such as object identify, UAV detection, robot navigation, and so on. T...
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Two image sensors simulate directly the way of disposing images with the humanpsilas two eyes, so it has important value to apply to many domains, such as object identify, UAV detection, robot navigation, and so on. This paper focus on the object localization and distance detection based on two image sensors. It concentrates on how to apply two CCD image sensors to object localization of a sphere in complex environments. A space model of the two image sensors was set up, then an experiment platform was built in order to prove the correctness and feasibility of that localization algorithm, and the relationship between the coordinate localization accuracy and the sensor structural parameters was analyzed.
Wireless sensor networks distributed signal processing has to operate under stringent energy and bandwidth limitations. Usually, the observations need to be quantized before they are sent to fusion center (FC). This p...
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Wireless sensor networks distributed signal processing has to operate under stringent energy and bandwidth limitations. Usually, the observations need to be quantized before they are sent to fusion center (FC). This paper we introduce a multiple bits distributed moving Horizon state estimation approach based on a multiple state single output Gaussian-Markov model. Each sensor node has a thresholds book, then the sensors quantize their measurements to several bits by using the thresholds book which are sent to fusion center. After receiving these information, fusion center make final estimation for system states. Compared with single bit distributed moving horizon state estimation (DMHE), this method ensures that FC need not to send the estimate information back to sensor nodes and provides higher precision of state estimation.
A distributed state estimation scheme based on quantized observations in wireless sensor network (WSN) is proposed. Unlike the SOI-KF approach, we address the state estimation problem in two steps: firstly, local sens...
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A distributed state estimation scheme based on quantized observations in wireless sensor network (WSN) is proposed. Unlike the SOI-KF approach, we address the state estimation problem in two steps: firstly, local sensors and the fusion center apply the decentralized estimation scheme (DES) to design the quantized message function and the fusion function; secondly, the fusion center constructs a linear filter to obtain the state estimation by minimizing an upper bound of the error power norm. The optimal filter is computed by the linear matrix inequality (LMI) solver. An example is presented to demonstrate the efficiency of our method.
Recently, in the smart-card based authentication system, there is an increasing trend of using fingerprint for the card holder verification, instead of passwords. However, the security of the fingerprint data is parti...
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Recently, in the smart-card based authentication system, there is an increasing trend of using fingerprint for the card holder verification, instead of passwords. However, the security of the fingerprint data is particularly important as the possible compromise of the data will be permanent. In this paper, we propose an approach for secure fingerprint verification by distributing both the secret and the computation based on the fuzzy vault (a cryptographic construct which has been proposed for crypto-biometric systems). That is, a user fingerprint template which is applied to the fuzzy vault is divided into two parts, and each part is stored into a smart-card and a server, respectively. At distributing the fingerprint template, we consider both the security level and the verification accuracy. Then, the geometric hashing technique is applied to solve the fingerprint alignment problem, and this computation is also distributed over the combination of the smart-card and the server in the form of the challenge-response. Finally, the polynomial can be reconstructed from the accumulated real points from both the smart-card and the server. Based on the experimental results, we confirm that our proposed approach can perform the fuzzy vault-based fingerprint verification more securely on a combination of a smart-card and a server without significant degradation of the verification accuracy.
In this paper, the mechanical construction, thermal regulator design and temperature measurement system of a local area were set up for large-scale linear measurement. Numerical analysis based on temperature correlate...
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In this paper, the mechanical construction, thermal regulator design and temperature measurement system of a local area were set up for large-scale linear measurement. Numerical analysis based on temperature correlated characteristic is discussed to obtain optimal observation points for the measurements. The horizontal temperature distribution of the measured area is compared with the measurement of the variation of temperature at 15℃ and 20℃ over time, and characteristic of dynamic response is also discussed. In addition, the long-time stability of measured temperature is analyzed by means of using the standard deviation. It characterizes the temperature distribution performance of a large area and how it may impact the measurement of a large-scale object.
annular beam tri-heterodyne confocal microscope has been proposed to improve the anti-environmental interference capability and the resolution of a eonfoeal microscope. It simultaneously detects far-, on-, and near-fo...
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annular beam tri-heterodyne confocal microscope has been proposed to improve the anti-environmental interference capability and the resolution of a eonfoeal microscope. It simultaneously detects far-, on-, and near-focus signals with given phase differences by dividing the measured light path of the eonfoeal microscope into three sub-paths (signals). Pair-wise real-time heterodyne subtraction of the three signals is used to improve the anti-environmental interference capability, axial resolution, and linearity; and a shaped annular beam super-resolution technique is used to improve lateral resolution. Theoretical analyses and preliminary experiments indicate that an axial resolution of about 1 nm can be achieved with a shaped annular beam tri-heterodyne confoeal microscope and its lateral resolution can be better than 0.2 um for A = 632.8 nm, the numerical aperture of the lens of the microscope is NA = 0.85, and the normalized radius e = 0.5.
A new method is presented to solve the mode mixing problem, which caused by intermittency signal of sifting process of Empirical mode decomposition (EMD). For achieving exact location of intermittency signal, the time...
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ISBN:
(纸本)0980326702
A new method is presented to solve the mode mixing problem, which caused by intermittency signal of sifting process of Empirical mode decomposition (EMD). For achieving exact location of intermittency signal, the time scale difference between intermittency signal and normal background signal, as well as instantaneous frequency characteristic of intrinsic mode function (IMF) are both used in this method. Depending on the located intermittency signal segment, by boundary extending, redo EMD to separate intermittency signal, accordingly removing the influence of intermittency signal in the following EMD. Compare the results of removing intermittency signal using this method with using wavelet method, results indicate that, using this method, the signal distortion is less than wavelet method. And intermittency signal can be decomposed into one FMF.
To resolve the problem of the missile detection in the space early-warning process, an efficient method based on nonlinear adaptive filtering is proposed to detect the small IR target of low SNR under the complex back...
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