North Gulf is China’s important sea route to Asia and Europe, and the seabed is rich in resources. For various reasons, the detection and mapping of submarine terrain are blank. The traditional multi-beam measurement...
North Gulf is China’s important sea route to Asia and Europe, and the seabed is rich in resources. For various reasons, the detection and mapping of submarine terrain are blank. The traditional multi-beam measurement method has high accuracy but uneven spatial distribution. Although the detection line process has high sampling and measurement accuracy, there is a large blank area between adjacent routes, which is difficult to achieve full-scale large area measurement due to environmental, time and budget constraints. On the other hand, the accuracy of the remote sensing inversion depth method is not high, but it can achieve a wide range of coverage, which is characterized by low cost, short cycle and convenient dynamic monitoring. This paper takes North Gulf as the research area, uses remote sensing data to construct the seabed topography, uses multi-beam data for checksum correction and uses distributed computing technology to distribute bigdata in different computing nodes, and the data are refined and reconstructed in three dimensions to form a 3D seabed topography. The method improves the efficiency and accuracy of multi-beam dataprocessing and can construct a large area, high-resolution submarine DEM and realize database management.
As there exist many redundant genes and inferior genes in single-cell RNA-seq data, we introduce information gain (IG) and fruit fly optimization algorithm (FOA) to select the superior genes and improve the cluster pe...
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ISBN:
(数字)9781728160924
ISBN:
(纸本)9781728160931
As there exist many redundant genes and inferior genes in single-cell RNA-seq data, we introduce information gain (IG) and fruit fly optimization algorithm (FOA) to select the superior genes and improve the cluster performance. In the proposed gene selection method IGFOA, IG and FOA are integrated first for gene selection. Experimental results performing on several single-cell RNA-seq datasets demonstrate that IGFOA can efficiently select the most relevant genes and obtain the better cluster performance.
complex fuzzy sets have been successfully applied to many domains. In some applications, complex fuzzy operators play an vital role, especially those results depend on the particular choice of the conjunction, disjunc...
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A complex fuzzy set is a set whose membership grades are complex values in the unit circle in the complex plane. This paper introduces the concept of approximate parallelity between complex fuzzy sets based on the pha...
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This treatise proposes a new algorithm of encrypting images by combining Sine map with generalized Arnold transformation. The algorithm adds a shift transformation link to the common permutation-diffusion structure. F...
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Synchronization of networked phase oscillators depends essentially on the correlation between the topological structure of the graph and the dynamical property of the elements. We propose the concept of ＇reduced freq...
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Synchronization of networked phase oscillators depends essentially on the correlation between the topological structure of the graph and the dynamical property of the elements. We propose the concept of ＇reduced frequency＇, a measure which can quantify natural frequencies of each pair of oscillators. Then we introduce an evolving network whose linking rules are controlled by its own dynamical property. The simulation results indicate that when the linking probability positively correlates with the reduced frequency, the network undergoes a first-order phase transition. Meanwhile, we discuss the circumstance under which an explosive synchronization can be ignited. The numerical results show that the peculiar butterfly shape correlation between frequencies and degrees of the nodes contributes to an explosive synchronization transition.
This treatise proposes a new algorithm of encrypting images by combining Sine map with generalized Arnold transformation. The algorithm adds a shift transformation link to the common permutation-diffusion structure. F...
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This treatise proposes a new algorithm of encrypting images by combining Sine map with generalized Arnold transformation. The algorithm adds a shift transformation link to the common permutation-diffusion structure. Firstly,the plain-image is permutated in pixel positions by using the generalized Arnold transformation. Secondly,the permutated image is diffused by using the Sine map. Then,the diffused image is performed through the shifting process,which can avoid multiple encryption and shorten the encryption time. The results of analysis and experimental tests for the proposed algorithm have been given in detail,which showed that our new algorithm is highly secure. In conclusion,it has great application potential in Internet-based image secure communication.
This paper is concerned with a stochastic HBV infection model with logistic growth. First, by constructing suitable stochastic Lyapunov functions, we establish sufficient conditions for the existence of ergodic statio...
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This paper is concerned with a stochastic HBV infection model with logistic growth. First, by constructing suitable stochastic Lyapunov functions, we establish sufficient conditions for the existence of ergodic stationary distribution of the solution to the HBV infection model. Then we obtain sufficient conditions for extinction of the disease. The stationary distribution shows that the disease can become persistent in vivo.
In this paper, we establish fuzzy stability of the orthogonal Cauchy functional equations f(x + y) = f(x) + f(y), x ⊥ y and the orthogonal Cauchy functional of P exider type f(x + y) = g(x) + h(y), x ⊥ y in which ⊥...
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In this paper, we establish fuzzy stability of the orthogonal Cauchy functional equations f(x + y) = f(x) + f(y), x ⊥ y and the orthogonal Cauchy functional of P exider type f(x + y) = g(x) + h(y), x ⊥ y in which ⊥ is the orthogonality in the sense of Rtz.
Dynamic economic dispatch with valve-point effect (DED-VPE) is a non-convex and non-differentiable optimization problem which is difficult to solve efficiently. In this paper, a hybrid mixed integer linear programming...
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