In this paper,the generalized Jacobian matrix and the improved Milne-Hamming linear multi-step prediction and correction algorithm are combined for solving the space manipulator trajectory tracking *** of all,controll...
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In this paper,the generalized Jacobian matrix and the improved Milne-Hamming linear multi-step prediction and correction algorithm are combined for solving the space manipulator trajectory tracking *** of all,controlling end-effector tracks a known trajectory by the method of pseudo inverse of generalized Jacobian ***,due to the accuracy of the solution of this approach inversely with the step-size of numerical integration,we need larger calculation to get more precise *** increase the accuracy in fixed step-size of calculation,Milne-Hamming linear multi-step prediction and correction algorithm is combined with the methods that mentioned ***,we utilize the RungeKutta method to evaluate the first four solutions of MilneHamming algorithm *** don't have enough parameters to initialize the algorithm until step ***,the validity of the algorithm is verified by computer simulation.
Due to the efficient and secure requirements of image transmission, a number of research works have been done to encrypt the compressed image. Inspired by the arithmetic coding and chaotic map which are used to compre...
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Due to the efficient and secure requirements of image transmission, a number of research works have been done to encrypt the compressed image. Inspired by the arithmetic coding and chaotic map which are used to compress and encrypt image, respectively. In this paper, a scheme is proposed to encrypt the compressed image by chaotic map and arithmetic coding. This scheme compresses the image row by row which is firstly permuted by two logistic maps before arithmetic coding. It not only enhances the security of arithmetic coding, but also improves the compression ratio. To further improve the security of binary data which has been compressed, we use the chaotic maps to encrypt the data, and set different parameters and initial value for chaotic maps. In order to possess high sensitivities of key and plain-image, the keys that are employed to determine the parameter and initial value of chaotic maps are related to the plain-image. The experimental results validate the effect of the proposed scheme and demonstrate that the compressed and encrypted image is secure and convenient for transmission.
New image encryption based on DNA encoding combined with chaotic system is proposed. The algorithm uses chaotic system to disturb the pixel locations and pixel values and then DNA encodings according to quaternary cod...
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New image encryption based on DNA encoding combined with chaotic system is proposed. The algorithm uses chaotic system to disturb the pixel locations and pixel values and then DNA encodings according to quaternary code rules are carried out. The pseudo DNA operations are controlled by the quaternary chaotic sequences. At last the image encryption through DNA decoding is achieved. The theoretical analysis and experimental results show that the algorithm improves the encoding efficiency, enhances the security of the ciphertext, has a large key space and a high key sensitivity, it is able to resist the statistical and exhaustive attacks.
In the field of virtual reality, Collision Detection Technology was widely developed for improving the performance of 3D Graphics. Following rapid growth of virtual objects with complex shapes, conventional methods pe...
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In the field of virtual reality, Collision Detection Technology was widely developed for improving the performance of 3D Graphics. Following rapid growth of virtual objects with complex shapes, conventional methods perform harder to effectively detect the collision. Facing the problem, we presented a collision detection algorithm based on improved quantum particle swarm optimization. Firstly, we converted the collision detection problem into nonlinear constrained optimization problem. Secondly, we employed the Euclidean distance to evaluate whether there was collision between two objects. Then, we improved the quantum particle swarm optimization (QPSO) algorithm by (1) using quantum HΕgate and quantum rotation gate in changing quantum probability amplitude, (2) changing the mutation operator with Quantum Hadamard Gate and (3) modifying constant Inertia Weight to random inertia weight. In the end, the results of numerical simulation and analysis were provided to verify the validity of our algorithm.
Plant growth simulation algorithm (PGSA) is a kind of bionic intelligent optimization algorithm. Based on the plant phototropism as heuristic criterion, this algorithm takes the feasible region of different optimizati...
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Face recognition is an important research hotspot. More and more new methods have been proposed in recent years. In this paper, we propose a novel face recognition method which is based on PCA and logistic regression....
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Face recognition is an important research hotspot. More and more new methods have been proposed in recent years. In this paper, we propose a novel face recognition method which is based on PCA and logistic regression. PCA is one of the most important methods in pattern recognition. Therefore, in our method, PCA is used to extract feature and reduce the dimensions of process data. Afterwards, we present a novel classification algorithm and use logistic regression as the classifier for face recognition. The experimental results on two different face databases are presented to illustrate the efficacy of our proposed method.
To reveal the inner control mechanism of organism is an important content in the research of bioinformatics. The proliferation of a variety of high-throughput biological data for the reconstruction of gene regulatory ...
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It has been proved that information encoding and processing in DNA is an important problem for biomolecular computing, including the encoding design problem. In recent years, there has been growing interest in the app...
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This paper proposes an approach about obstacle collision-free motion planning of space manipulator by utilizing a Configuration-Oriented Artificial Potential Field method in 3-D space environment. Firstly, the artific...
This paper proposes an approach about obstacle collision-free motion planning of space manipulator by utilizing a Configuration-Oriented Artificial Potential Field method in 3-D space environment. Firstly, the artificial potential field method, which is usually used in 2-D space, is extended to 3-D space. Secondly, improving the artificial potential field method enables to carry out obstacle avoidance planning for the configuration of entire space manipulator (including the end-effector and links). Finally, the approach is combined with the inverse kinematics calculation which is based on the Generalized Jacobian Matrix for planning a collision-free motion of space manipulator. At the end of the article, by simulating the method mentioned above, the validity of the proposed method is verified.
Influenza is an acute respiratory illness that occurs every year. Detection of Influenza in its earliest stage would reduce the spread of the illness. Sina microblog is a popular microblogging service, provides perfec...
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