A faster numerical method based on FDTD for the four energy level atomic system is present here. The initial conditions for the electrons of each level are achieving while the fields are in steady state. Polarization ...
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A faster numerical method based on FDTD for the four energy level atomic system is present here. The initial conditions for the electrons of each level are achieving while the fields are in steady state. Polarization equation, rate equations of electronic population and Maxwell's equations were used to describe the coupling between the atoms and electromagnetic wave. Numerical simulations, based on a finite-difference time-domain (FDTD) method, were utilized to obtain the population inversion and lasing threshold. The validity of the model and its theory is confirmed. The time, which we can observe the lasing phenomenon, is much shorter in our new model. Our model can be put into using in large scale simulations in mutiphysics to reduce the total simulated time.
At present, the software's type forms present diversity, and how to automatically analyze the software's risk behaviors become an urgent problem. This paper used some software behavior crawlers and dynamic ana...
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At present, the software's type forms present diversity, and how to automatically analyze the software's risk behaviors become an urgent problem. This paper used some software behavior crawlers and dynamic analysis method, crawled many representative kinds of malware's behavior, then mapped the behavior as a training data, and combined with BP neural network, established an automated analysis system for risk behaviors. Experiment shows that the system can automatically analyze whether a software is malware, which has better results and a strong practical intelligence.
The weighted circle packing problem is a kind of important combination optimization problem and has the NP-hard property. Inspired by the No Free Lunch Theorem, a knowledge-based heuristic particle swarm optimization ...
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Time-consuming calculations of overlapping areas among objects have become a bottleneck that restricts further improvement of evolutionary algorithms for circle and rectangle packing problems. This paper proposes a he...
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Time-consuming calculations of overlapping areas among objects have become a bottleneck that restricts further improvement of evolutionary algorithms for circle and rectangle packing problems. This paper proposes a heuristic ant colony optimization (HACO) algorithm for the circle and rectangle packing problems with rotary inertia constraints (ICCRPP). The proposed heuristic method is used by artificial ants to construct the feasible layout schemes. Through the ant colony optimization, the optimal layout scheme can be gotten for ICCRPP. Because the introduction of the related layout knowledge in the ordering and positioning rules can make both the envelope radius and rotary inertia of the constructing layout scheme less. The numerical experimental results show that the computational efficiency and solution accuracy of HACO algorithm are satisfactory for ICCRPP.
The circle and rectangle orthogonal packing problem with equilibrium constraints (ECROPP) belongs to NP-hard problems. This paper proposes a divide-conquer QPQH (DCQPQH) algorithm for this problem. A mathematical mode...
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The circle and rectangle orthogonal packing problem with equilibrium constraints (ECROPP) belongs to NP-hard problems. This paper proposes a divide-conquer QPQH (DCQPQH) algorithm for this problem. A mathematical model is built for the divide-conquer solution of ECROPP. And then on the basis of the embedding depths between two rectangles and between the circle and rectangle, an elastic potential energy function of the system is given. Then, the DCQPQH algorithm is presented through a combination of the divide-conquer strategy and QPQH algorithm based on the elastic potential energy function. Because the combination makes the proposed DCQPQH algorithm inherit excellent properties of QPQH and the advantage of the divide-conquer solution, its solution accuracy and computational efficiency are improved. The numerical experiments show that performances of the proposed DCQPQH algorithm are superior to those of the existing algorithms.
This paper employs the variational iteration method to obtain analytical solutions of second-order delay differential equations. The corresponding convergence results are obtained, and an effective technique for choos...
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A heterogeneous-aware cooperative MIMO transmission scheme (HAMS) is proposed to optimize the network lifetime and save energy for energy heterogeneous wireless sensor networks (WSN). This scheme extends the tradition...
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This study aims at characterizing wheat canopies caused by powdery mildew (Blumeria graminis f. sp. tritici) with multi-angular hyperspectral data. The filling stage (23 May, 2012) was chosen to achieve such a goal, c...
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ISBN:
(纸本)9781479911127
This study aims at characterizing wheat canopies caused by powdery mildew (Blumeria graminis f. sp. tritici) with multi-angular hyperspectral data. The filling stage (23 May, 2012) was chosen to achieve such a goal, considering that the disease can show distinctive symptoms during the months of May and June. A total of 37 sample plots were selected including 32 normal canopies and 5 diseased canopies with varied severity. To minimizing the soil background influences, multi-angular hyperspectral data were acquired at different view angles (0°, 45° and 90°). The results showed that the proportion of wheat vegetation and soil changed greatly and the hyperspectral reflectance values correspondingly changed. Consequently, the reflectance at different viewing angles showed great differences, but the curves had the same change trends. The results showed that, to accurately identify the spectral differences caused by powdery mildew, the optimal angle or a combination of several angles must be firstly found from multi-angular hyperspectral measurements.
The theory of Schur complement is very important in many fields such as control theory and computational mathematics. In this paper, applying the properties of Schur complement, utilizing some inequality techniques, s...
The theory of Schur complement is very important in many fields such as control theory and computational mathematics. In this paper, applying the properties of Schur complement, utilizing some inequality techniques, some new estimates of diagonally dominant degree on the Schur complement of matrices are obtained, which improve some relative results. Further, as an application of these derived results, we present some distributions for the eigenvalues of the Schur complements. Finally, the numerical example is given to show the advantages of our derived results. MSC:15A45, 15A48.
In our study, support vector value contourlet transform is constructed by using support vector regression model and directional filter banks. The transform is then used to decompose source images at multi-scale, multi...
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In our study, support vector value contourlet transform is constructed by using support vector regression model and directional filter banks. The transform is then used to decompose source images at multi-scale, multi-direction and multi-resolution. After that, the super-resolved multi-spectral image is reconstructed by utilizing the strong learning ability of support vector regression and the correlation between multi-spectral image and panchromatic image. Finally, the super-resolved multi- spectral image and the panchromatic image are fused based on regions at different levels. Our experi- ments show that, the learning method based on support vector regression can improve the effect of super-resolution of multi-spectral image. The fused image preserves both high space resolution and spectrum information of multi-spectral image.
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