Current Issue : October - December Volume : 2012 Issue Number : 4 Articles : 5 Articles
In this paper a method for extraction and measurement of harmonic components in the signal strength is introduced. The\r\nproposed method is based on parallel structure adaptive notch filter (ANF). Simulation results is confirmed the desirable transient\r\nand steady-state performances of the proposed method....
This paper gives a novel traffic feature for identifying abnormal variation of traffic under DDOS\r\nflood attacks. It is the histogram of the maxima of the bounded traffic rate on an interval-byinterval\r\nbasis. We use it to experiment on the traffic data provided by MIT Lincoln Laboratory\r\nunder Defense Advanced Research Projects Agency DARPA in 1999. The experimental results\r\nprofitably enhance the evidences that traffic rate under DDOS attacks is statistically higher than\r\nthat of normal traffic considerably. They show that the pattern of the histogram of the maxima of\r\nbounded rate of attack-contained traffic greatly differs from that of attack-free traffic. Besides, the\r\npresent traffic feature is simple in mathematics and easy to use in practice....
In the present manuscript, we effort to developed a maple code that enables us computing Orthogonal-upper or right triangular factorization (QR), lower-upper triangular factorization (LU) and Singular value decomposition (SVD) of the known elasticity constant data of Olivine (Fo90Fa10). We assert that such a maple code can handle all the elastic constant data simultaneously and is capable to perform matrix algebra not only for 6x6 elasticity matrix, but also able to perform matrix algebra for a 100x100 matrix whose entries are either fixed or vary with respect to some parameter....
We will constructively prove the existence of a Nash equilibrium in a finite strategic game with sequentially locally nonconstant\r\npayoff functions. The proof is based on the existence of approximate Nash equilibria which is proved by Sperner�s lemma. We\r\nfollow the Bishop-style constructive mathematics....
A novel method for predicting maximum recommended therapeutic dose (MRTD) is presented using quantitative structure\r\nproperty relationships (QSPRs) and artificial neural networks (ANNs). MRTD data of 31 structurally diverse Antiretroviral drugs\r\n(ARVs) were collected from FDA MRTD Database or package inserts. Molecular property descriptors of each compound, that is,\r\nmolecular mass, aqueous solubility, lipophilicity, biotransformation half life, oxidation half life, and biodegradation probability\r\nwere calculated from their SMILES codes. A training set (n = 23) was used to construct multiple linear regression and back\r\npropagation neural network models. The models were validated using an external test set (n = 8) which demonstrated that MRTD\r\nvalues may be predicted with reasonable accuracy. Model predictability was described by root mean squared errors (RMSEs),\r\nKendall�s correlation coefficients (tau), P-values, and Bland Altman plots for method comparisons. MRTD was predicted by a\r\n6-3-1 neural network model (RMSE = 13.67, tau = 0.643, P = 0.035) more accurately than by the multiple linear regression\r\n(RMSE = 27.27, tau = 0.714, P = 0.019) model. Both models illustrated a moderate correlation between aqueous solubility of\r\nantiretroviral drugs and maximum therapeutic dose. MRTD prediction may assist in the design of safer, more effective treatments\r\nfor HIV infection....
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