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Abstract: In this paper, quantum digital image processing algorithms based on quantum measurement are proposed, which consist of quantum image edge detection algorithm and quantum adaptive median filtering algorithm. These algorithms follow the quantum signal algorithm framework: First, the pixel of input image is transformed into qubit state representation. In this process, a pixel is transformed into single qubit state representation in quantum image edge detection algorithm, while in quantum adaptive median filtering algorithm a pixel is transformed into dual qubits state representation. Dual qubits state has four basis vectors, which can reflect more information of the represented pixel. Thus the represented pixel can be manipulated more accurately. Second, the quantum measurement outcomes are obtained based on quantum measurement postulate. Third, the quantum measurement outcomes are transformed into the algorithm outcomes. In the final part, experiments are performed to compare our method with conventional methods. [Copyright &y& Elsevier]

A novel approach for breath methane monitoring is presented, which employs an all-optical photoacoustic spectrometer based on a distributed feedback (DFB) laser diode and a fiber acoustic sensor. To avoid the interference of high concentration of CO 2 and H 2 O at atmospheric pressure, the 1650.96 nm absorption line for CH 4 is selected. The minimum detection limit of 64 ppb (signal-to-noise ratio = 3) in simulated breath samples (4% CO 2 and 6% H 2 O (100% relative humidity at 37 °C)) is achieved. [ABSTRACT FROM AUTHOR]

Diamond quantum dots (diamond QDs) have attracted great interest on account of their excellent physical and chemical properties. Here, we synthesized the diamond QDs 2–8 nm in diameter through alkaline assisted oxidation at room temperature. This composite method fairly original, simple, low-cost, and eco-friendly. High-resolution TEM, XRD and XPS confirm the diamond structure of the synthesized nanocrystals. The diamond QDs exhibit concurrent multiband luminescence across the whole visible region. The study based on the photoluminescence, UV–Vis absorption, and Fourier-transform infrared reveals that the fluorescence emission originates from the C–O–C and C(O)O related surface defects. [ABSTRACT FROM AUTHOR]

Normalized fatigue delamination models have been widely applied by researchers in the characterization of the fatigue delamination behavior of composite laminates. However, the inherent mechanism of this normalization method has not been explored. This study aims to present a physical understanding on the normalized fatigue delamination model from a viewpoint of energy. The fatigue delamination behavior is considered to be governed by the driving force and delamination resistance, and based on this principle the physical mechanism of the fatigue delamination is studied. A new physics-based normalized fatigue delamination model is proposed in this paper. In order to experimentally validate the proposed fatigue delamination model, mode I fatigue delamination tests are performed on double cantilever beam specimens to obtain the experimental data with different amounts of the fiber bridging. The results show that the normalized model is suitable to accurately characterize the fatigue delamination behavior of the composite laminates by using a single master curve. The master curve is finally employed as a standard approach to predict the fatigue results. Good agreement between the predicted and the experimental results is achieved, therefore it approves the applicability of the proposed fatigue delamination model in characterizing the fatigue delamination growth behavior. [ABSTRACT FROM AUTHOR]