Fluorescence has been proved to be a versatile and useful tool for animal in vivo imaging. It has been used widely in biomedical research and drug discoveries. With the recent development of the technology and instrum...
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As a large-capacity public transport tool, the railway system needs high stability and reliability. In order to reduce cost and satisfy the safety requirements of train control system, a novel safety-related digital i...
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As a large-capacity public transport tool, the railway system needs high stability and reliability. In order to reduce cost and satisfy the safety requirements of train control system, a novel safety-related digital input system is designed and implemented based on architectural constraints of safety-related systems and the analysis of the working principle of the specific digital input system. This system is designed as 2-out-of-3 architecture on the basis of vital computer. The method of fault diagnosis has been improved after the analysis of the practical situation. That is, the detection signal sent by the external pulse transmitter module contains the circuit fault information after the signal pass through the input circuit, and the real-time self-diagnosis will be done after using the supporting software to deal with timing diagram. The system uses less CPU resources to achieve the high diagnostic efficiency, which improves safety failure rate. And its failure analysis is discussed. The Markov Model is used to verify the Safety Integrity Level (SIL) of the safety-related system. The analysis shows that this design, with easy implementation and low cost, meets the requirements of SIL4 in railway and is more reliable.
A recent development in molecular imaging is in vivo fluorescence molecular imaging with near-infrared light, which has extraordinary significance in early diagnosis of the disease. This paper presents a method of rec...
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ISBN:
(纸本)9781457705359
A recent development in molecular imaging is in vivo fluorescence molecular imaging with near-infrared light, which has extraordinary significance in early diagnosis of the disease. This paper presents a method of recovering high dynamic range radiance maps at in vivo fluorescence molecular imaging technology. Use differently exposed photographs to recover the response curve of the imaging process, with the known curve, can fuse a single, high dynamic range radiance map whose pixel values are proportional to the true fluorescence signal values in the scene. Will contribute to quilitative and quatitative analysis, offer better observation, and get information much more accurate and true. Have great significance for analysis and diagnosis.
This paper is concerned with the identification of multiple model process with transition using the output error (OE) method. Local multiple linear models with output error model structure are identified at fixed oper...
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The robust D stability analysis problem for a class of singular systems is considered in this paper. With the introduction of some free matrices, a new necessary and sufficient condition for a singular system to be D ...
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A method is proposed for performance assessment of PID control loops subject to time-varying disturbance dynamics, which is often observed in industrial processes. The proposed method optimizes overall performance of ...
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A method is proposed for performance assessment of PID control loops subject to time-varying disturbance dynamics, which is often observed in industrial processes. The proposed method optimizes overall performance of the processes and presents a PID tradeoff curve which provides a useful lower bound on the achievable performance of the PID controller in terms of both the most significant disturbance rejection and the representative disturbance rejection. One can choose an optional benchmark to assess the PID control performance according to the tradeoff curve. The developed performance assessment technique is illustrated by simulation and industrial examples.
In terms of the difficulty of vehicle tracking in complex environment of the visual surveillance system, an object tracking algorithm is proposed for the applications in practical visual surveillance systems for intel...
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In terms of the difficulty of vehicle tracking in complex environment of the visual surveillance system, an object tracking algorithm is proposed for the applications in practical visual surveillance systems for intelligent traffic. A block-based Gaussian mixture background modeling method for object detection is presented to reduce the computational complexity of moving vehicle object abstraction. An adaptive tracking algorithm fused with color features and texture features is described to better adapt the traffic scene variation. The experimental results show that the proposed algorithm can effectively deal with the complex urban traffic conditions and the tracking performance is better than the conventional particle filter method and single feature based non-adaptive object tracking method.
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