The article describes the development of data processing methods, specifically a method for processing binary gray code images. The results of processing binary gray code images are used to resolve phase ambiguity in ...
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The article describes the development of data processing methods, specifically a method for processing binary gray code images. The results of processing binary gray code images are used to resolve phase ambiguity in the phase triangulation method, which is a variation of the triangulation method using structured light. An image processing algorithm was developed to decode binary code generated by an optical source. The code takes the form of the dependence between the intensity distribution of the surface image of the analyzed object and the frame number. The proposed algorithm provides stable binarization of gray code images under the conditions of a limited dynamic range of the photodetector and arbitrary light-scattering surface properties of the analyzed object without the use of inverse projected images. The developed algorithm can be successfully applied in triangulation systems using structured light to measure the three-dimensional geometry of complex-shaped objects. It is shown that for all possible ratios between the recorded radiation intensity and the dynamic range of the photodetector, this algorithm can be used to correctly decodegray code (in the form of structured-light images). In this case, deviations in the results of gray code decoding can be attributed only to noise in the images and do not distort measurement results. The main advantage of the proposed algorithm consists in its ability to use almost half the number of structured light images to decode the gray code as compared to the algorithm using inverse code images.
A gray code based gradient-free optimization(GCO)algorithm is proposed to update the parameters of parameterized quantum circuits(PQCs)in this *** parameter of PQCs is encoded as a binary string,named as a gene,and a ...
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A gray code based gradient-free optimization(GCO)algorithm is proposed to update the parameters of parameterized quantum circuits(PQCs)in this *** parameter of PQCs is encoded as a binary string,named as a gene,and a genetic-based method is adopted to select the *** individuals in the offspring are decoded in gray code way to keep Hamming distance,and then are evaluated to obtain the best one with the lowest cost value in each *** algorithm is performed iteratively for all parameters one by one until the cost value satisfies the stop condition or the number of iterations is *** GCO algorithm is demonstrated for classification tasks in Iris and MNIST datasets,and their performance are compared by those with the Bayesian optimization algorithm and binary code based optimization *** simulation results show that the GCO algorithm can reach high accuracies steadily for quantum classification ***,the GCO algorithm has a robust performance in the noise environment.
We present a novel permutation algorithm for fast encryption of a large amount of data, such as 3D images and real-time videos. The proposed P-Box algorithm takes advantage of gray code properties and allows fast encr...
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We present a novel permutation algorithm for fast encryption of a large amount of data, such as 3D images and real-time videos. The proposed P-Box algorithm takes advantage of gray code properties and allows fast encryption with high information diffusion. The algorithm is optimized for integer q-bit operations (q=8, 16, 32,...), allowing a direct implementation in almost any hardware platform, while avoiding rounding errors of floating-point operations. By combining the P-Box with chaotic S-Box based on the logistic map, we design a complete, highly secure and fast cryptosystem. (C) 2014 Elsevier Inc. All rights reserved.
We visit generator matrices A(0), A(1), A(2), ... of all k-dimensional subspaces of the n-dimensional vector space over the field with two elements such that two consecutive matrices A(i) and A(i+1) differ in exactly ...
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We visit generator matrices A(0), A(1), A(2), ... of all k-dimensional subspaces of the n-dimensional vector space over the field with two elements such that two consecutive matrices A(i) and A(i+1) differ in exactly one bit.
To compress hyperspectral images, a low complexity discrete cosine transform (DCT)-based distributed source coding (DSC) scheme with gray code is proposed. Unlike most of the existing DSC schemes, which utilize tr...
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To compress hyperspectral images, a low complexity discrete cosine transform (DCT)-based distributed source coding (DSC) scheme with gray code is proposed. Unlike most of the existing DSC schemes, which utilize transform in spatial domain, the proposed algorithm applies transform in spectral domain. Set-partitioning-based approach is applied to reorganize DCT coefficients into waveletlike tree structure and extract the sign, refinement, and significance bitplanes. The extracted refinement bits are gray encoded. Because of the dependency along the line dimension of hyperspectral images, low density paritycheck-(LDPC)-based Slepian-Wolf coder is adopted to implement the DSC strategy. Experimental results on airborne visible/infrared imaging spectrometer (AVIRIS) dataset show that the proposed paradigm achieves up to 6 dB improvement over DSC-based coders which apply transform in spatial domain, with significantly reduced computational complexity and memory storage.
In this brief, a state-of-the-art source driver circuit is proposed for large-size organic light-emitting diode (OLED) display. The proposed source driver uses a three-stage digital to analog convertor (DAC) structure...
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In this brief, a state-of-the-art source driver circuit is proposed for large-size organic light-emitting diode (OLED) display. The proposed source driver uses a three-stage digital to analog convertor (DAC) structure and the gray code to achieve low power consumption and high precision based on high-voltage technology. A 10-bit source driver is structured into a two-stage 7-bit voltage selector and a single-stage 3-bit buffer, which effectively reduces the number of transistors. The gray code is used instead of binary code to reduce the dynamic power consumption and minimize source driver output glitch. Compared with those of the traditional binary source driver, the dynamic and total power consumption of the proposed gray code source driver are reduced by 86.95% and 21.29%, respectively. The glitch amplitude of that of the proposed gray code source driver output is only 6.1% of the binary source driver. The size of the proposed source driver is 970 mu m x 28 mu m by 0.18 mu m BCD process.
The initialization of states is of importance in nuclear magnetic resonance quantum computing systems. In this article it is shown that the initialization of n-qubits states can be realized via a sequence of controlle...
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The initialization of states is of importance in nuclear magnetic resonance quantum computing systems. In this article it is shown that the initialization of n-qubits states can be realized via a sequence of controlled-not quantum gates from any mixed state. We present a general algorithm and its optimization to construct a circuit of controlled-not quantum gates that realizes the initialization using the concept of gray codes. (C) 2003 Wiley Periodicals, Inc.
Voltage stability constrained reactive power planning (RPP) or VAr planning is a very challenging issue in power systems. This paper proposes a new approach for modeling and solving VAr planning problem taking into ac...
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Voltage stability constrained reactive power planning (RPP) or VAr planning is a very challenging issue in power systems. This paper proposes a new approach for modeling and solving VAr planning problem taking into account the static voltage stability constraint. First, the fuzzy clustering method is employed to select new candidate VAr source locations. Then, modified gray code is proposed and used to represent a series of non-uniform VAr capacity intervals at different candidate buses. Under the new ordering of the VAr capacity intervals, a simplified piecewise linear function between the total transfer capability (TTC) and new VAr capacity is derived and applied as static voltage stability constraint in RPP. Finally, the RPP optimization model is solved by an enhanced simulated annealing (SA) algorithm taking advantage of the modified gray code. In the SA algorithm, a modified definition of the neighborhood selection and a novel approach to generate new random solutions are proposed. In the case study, fuzzy clustering method, the modified gray code, and the improved SA are applied to the IEEE 30-bus system. Test results conclude that the proposed method is a simplified and effective approach for voltage stability constrained VAr planning with contingency considered.
In recent years, the operation efficiency of chaos-based image cryptosystems has drawn much more concerns. However, the workload arised from floating point arithmetic in chaotic map iteration prevents the efficiency p...
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In recent years, the operation efficiency of chaos-based image cryptosystems has drawn much more concerns. However, the workload arised from floating point arithmetic in chaotic map iteration prevents the efficiency promotion of these cryptosystems. In this paper, we present a novel image encryption scheme using gray code based permutation approach. The new permutation strategy takes full advantage of (n, p, k)-gray-code achievements, and is performed with high efficiency. A plain pixel-related image diffusion scheme is introduced to compose a complete cryptosystem. Simulations and extensive security analyses have been carried out and the results demonstrate the high security and operation efficiency of the proposed scheme. (C) 2014 Elsevier Ltd. All rights reserved.
Combination of gray code and phase-shifting is the most practical and advanced approach for the structured light 3-D measurement so far, which is able to measure objects with complex and discontinuous surface. However...
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Combination of gray code and phase-shifting is the most practical and advanced approach for the structured light 3-D measurement so far, which is able to measure objects with complex and discontinuous surface. However, for the traditional combination of the gray code and phase-shifting, the captured gray code images are not always sharp cut-off in the black-white conversion boundaries, which may lead to wrong decoding analog code orders. Moreover, during the actual measurement, there also exists local decoding error for the wrapped analog code obtained with the phase-shifting approach. Therefore, for the traditional approach, the wrong analog code orders and the local decoding errors will consequently introduce the errors which are equivalent to a fringe period when the analog code is unwrapped. In order to avoid one-fringe period errors, we propose an approach which combines gray code with phase-shifting according to unequal period. With theoretical analysis, we build the measurement model of the proposed approach, determine the applicable condition and optimize the gray code encoding period and phase-shifting fringe period. The experimental results verify that the proposed approach can offer a reliable unwrapped analog code, which can be used in 3-D shape measurement. (C) 2016 Elsevier B.V. All rights reserved.
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