This paper presents the sliding mode control (SMC) of the Hes1-dimer biochemical reaction system, which regulates the concentration of reactants and products at a desired value. A sliding surface function and a contro...
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This paper presents the sliding mode control (SMC) of the Hes1-dimer biochemical reaction system, which regulates the concentration of reactants and products at a desired value. A sliding surface function and a controller with variable structure are proposed. By introducing some specified matrices, a linear matrix inequality (LMI) condition for the stability of the Hes1-dimer biochemical reaction system is derived, that is, the stability of the sliding mode dynamics is guaranteed. Moreover, a SMC law is designed, and forced the trajectories of the Hes1-dimer biochemical reaction system onto the designed sliding surface and remain slid thereon. The devised control strategy can ensure the rapid convergence of state response and the insensitivity to external disturbances. Finally, a simulation is given to demonstrate the validity of the proposed scheme.
Many machine learning algorithms have been applied to the problem of automatic emotion detection from speech. The k-nearest neighbor (KNN) is a popular learning algorithm for solving pattern recognition problem. Howev...
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The construction of DNA logic gates plays a very significant role in solving NP-complete problems, because DNA computer applied to solving NP-complete problems consists of DNA logic gates. Although AND Gate module and...
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Nowadays, gene chip technology has rapidly produced a wealth of information about gene expression activities. But the time-series expression data present a phenomenon that the number of genes is in thousands and the n...
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Nowadays, gene chip technology has rapidly produced a wealth of information about gene expression activities. But the time-series expression data present a phenomenon that the number of genes is in thousands and the number of experimental data is only a few dozen. For such cases, it is difficult to learn network structure from such data. And the result is not ideal. So it needs to take measures to expand the capacity of the sample. In this paper, the Block bootstrap re-sampling method is utilized to enlarge the small expression data. At the same time, we apply "K2+T" algorithm to Yeast cell cycle gene expression data. Seeing from the experimental results and comparing with the semi-fixed structure EM learning algorithm, our proposed method is successful in constructing gene networks that capture much more known relationships as well as several unknown relationships which are likely to be novel.
The prediction of protein structure that attracts many researchers to study is an NP-hard problem. In recent year, numerous algorithms are proposed. Although particle swarm optimizer has many advantages, the disadvant...
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This paper presents an analysis method to the global exponential stability for the delayed genetic regulatory networks with SUM regulatory functions. By transforming the kinetics of networks into a single delay differ...
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DNA sequence encoding is significant for the improvement of reliability and validity of DNA computing. The hybridization reaction between DNA molecules is the most important and core reaction in the field of DNA compu...
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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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A kind of scale invariant features transformation (SIFT for short) operators on DWT domain are proposed for watermarking algorithm. Firstly, the low frequency of the image is obtained by DWT. And then the SIFT transfo...
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A kind of scale invariant features transformation (SIFT for short) operators on DWT domain are proposed for watermarking algorithm. Firstly, the low frequency of the image is obtained by DWT. And then the SIFT transformation is used to calculate the key feature points for the low frequency sub-image. Based on the chosen space's key points with moderate scale, a circular area as watermark embedding area is constructed. According to the research and final results, the novel digital watermark algorithm is proposed benefiting from the characteristics of SIFT's key points and local time-frequency of DWT. The algorithm not only has good robustness to resist on such operations as compression, shearing, noise addition, median filtering and scaling, but also has good inhibition to possible watermark fake verification.
A new image fusion encryption algorithm based on image fusion and DNA sequence operation and hyper-chaotic system is presented. Firstly, two DNA sequences matrices are obtained by encoding the original image and the k...
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A new image fusion encryption algorithm based on image fusion and DNA sequence operation and hyper-chaotic system is presented. Firstly, two DNA sequences matrices are obtained by encoding the original image and the key image. Secondly, using the chaotic sequences generated by Chen's hyper-chaotic maps to scramble the locations of elements from the DNA sequence matrix which generated form original image. Thirdly, XOR the scrambled DNA matrix and the random DNA matrix by using DNA sequence addition operation. At last, decoding the DNA sequence matrix, we will get the encrypted image. The simulation experimental results and security analysis show that our algorithm not only has good encryption effect, but also has the ability of resisting exhaustive attack and statistical attack.
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