Operator training without a process model is necessary in certain plant manufacturing industry's applications because the process models from the control theory perspective are still not available. This paper desc...
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Operator training without a process model is necessary in certain plant manufacturing industry's applications because the process models from the control theory perspective are still not available. This paper describes an experiment that analyzed the benefits of 3D data visualization integrated in HMI for process control in combination with different types of operator training to obtain process knowledge. The benefits of interactive 3D slider training in identifying errors during operation could be proven.
The chain-reaction collision caused by a sudden event such as deer-vehicle collision is a serious accident in highway traffic. By propagating the authenticated emergence message on deer-vehicle collision with vehicle-...
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ISBN:
(纸本)9781424443369
The chain-reaction collision caused by a sudden event such as deer-vehicle collision is a serious accident in highway traffic. By propagating the authenticated emergence message on deer-vehicle collision with vehicle-to-vehicle (V2V) communication, the chain-reaction accident could be mitigated. However, the long delay imposed by traditional signature based authentication may weaken the effectiveness of such message propagation. In this paper, in order to accelerate the propagation, we propose a new online/offline Rabin signature scheme integrated in an authenticated emergence message propagation model. With the proposed signature scheme, the emergence message can be quickly signed and verified, and thus the propagation is accelerated. Extensive simulation results also demonstrate the effectiveness of the proposed scheme.
This paper is concerned with a strictly positive real H 2 controller design problem using an observer-based controller with Kalman filter gain. In this paper, we propose a successive method with non-common Lyapunov v...
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ISBN:
(纸本)9781424454402
This paper is concerned with a strictly positive real H 2 controller design problem using an observer-based controller with Kalman filter gain. In this paper, we propose a successive method with non-common Lyapunov variables for this control problem. The feature of our method is to construct a controller sequence on which H 2 norm is monotonically non-increasingly while all controllers are strictly positive real. A numerical example shows the efficiency of our method.
In the past few years, semi-fragile watermarking has become increasingly important as it can be used to verify the content of images and to localise the tampered areas, while tolerating some non-malicious manipulation...
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In the past few years, semi-fragile watermarking has become increasingly important as it can be used to verify the content of images and to localise the tampered areas, while tolerating some non-malicious manipulations. In the literature, the majority of semi-fragile algorithms have applied a predetermined threshold to tolerate errors caused by JPEG compression. However, this predetermined threshold is typically fixed and cannot be easily adapted to different amounts of errors caused by unknown JPEG compression at different quality factors (QFs) applied to the watermarked images. In this paper, we analyse the relationship between QF and threshold, and propose the use of generalised Benford's Law as an image forensics technique for semi-fragile watermarking, to accurately detect the unknown QF of the images. The results obtained show an overall average QF correct detection rate of approximately 99% when 5% of the pixels are subjected to image content tampering, as well as compression using different QFs (ranging from 95 to 65). Consequently, our proposed image forensics method can adaptively adjust the threshold for images based on the estimated QF, therefore, improving the accuracy rates in authenticating and localising the tampered regions for semi-fragile watermarking.
Hydrogenated amorphous silicon (a-Si:H) has been extensively investigated experimentally in the infrared spectral region via techniques such as Fourier Transform Infrared (FTIR) and Raman spectroscopy. Although spectr...
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Hydrogenated amorphous silicon (a-Si:H) has been extensively investigated experimentally in the infrared spectral region via techniques such as Fourier Transform Infrared (FTIR) and Raman spectroscopy. Although spectroscopic ellipsometry has been proven to be an important tool for the determination of several parameters of a-Si:H films, including dielectric constant, surface roughness, doping concentration and layer thickness, the spectral range used in these studies has rarely covered the infrared region below 0.6 eV, and never over the complete spectral region of interest (0.04 – 0.3 eV). We have measured for the first time the dielectric function of a-Si:H films grown by the saddle field glow discharge technique by spectroscopic ellipsometry in the energy range from 0.04 eV to 6.5 eV, thus extending the analysis into the far infrared region. The a-Si:H films were deposited on germanium substrates for the ellipsometry studies, and on crystalline silicon substrates for the comparative FTIR analysis. Preparation parameters were chosen to obtain films with different hydrogen content. In this paper, we present the results of the ellipsometry analysis, evaluate different fitting techniques, and compare the results with the corresponding FTIR spectra. The similarities and differences between the spectra are discussed in terms of the a-Si:H properties.
Information retrieval systems should provide users quick access to desired information. There are no established ways for inexperienced users to explicitly express queries for retrieving images from ecological databas...
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Information retrieval systems should provide users quick access to desired information. There are no established ways for inexperienced users to explicitly express queries for retrieving images from ecological databases. This study proposes an entropy-based feature selection strategy for finding images of interest from databases. Six visual features are used to represent birds, and hence used to formulate search queries. The proposed method is tested on a real world bird database and the experimental results demonstrate the effectiveness of the presented work.
Aimed at a backlighting application, a multiple-input switched-capacitor (SC) DC-DC converter with battery charge process is proposed in this paper. Unlike conventional SC power converters such as a Dickson-type conve...
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Given a flight schedule, which is a set of non-stop flights, called legs, with specified departure and arrival times, and a set of aircraft types, called subfleets, the fleet assignment problem is to determine which a...
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To realize battery-free operation employing energy harvesting, a step-down switched-capacitor-based converter has been used as a vibration-to-electricity converter. In this paper, to improve power efficiency, a step-d...
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To realize battery-free operation employing energy harvesting, a step-down switched-capacitor-based converter has been used as a vibration-to-electricity converter. In this paper, to improve power efficiency, a step-down ACDC converter realizing 1/N (N=2,3,... ) conversion modes is designed by using switched-capacitor techniques. Although conventional converters offer an output by regulating the stored energy in a big capacitor, the proposed converter generates the output by performing AC-DC conversion. Thus, the proposed converter can improve power efficiency. Concerning the power efficiency, the effectiveness of the proposed converter is clarified by theoretical analysis. Furthermore, the validity of the circuit design is confirmed by simulations and experiments.
This paper presents despeckling and information extraction using non-quadratic regularization. The novelty of this paper is that instead of the Gaussian prior model a Gauss-Markov random field model is chosen, because...
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This paper presents despeckling and information extraction using non-quadratic regularization. The novelty of this paper is that instead of the Gaussian prior model a Gauss-Markov random field model is chosen, because it can efficiently model textures in the images. The iterative procedure consists of noise-free image and texture parameter. The experimental results show that the proposed method satisfactorily removes noise form synthetic and real SAR images and is comparable with the state of the art methods using objective measurements on synthetic SAR images.
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