42393300
Synchronization between Two Different Hyperchaotic Dynamical Systems Using Nonlinear Control
This paper presents synchronization between two different hyperchaotic systems by nonlinear control laws. First, we introduced hyperchaotic Rossler system and hyperchaotic Chen system, and then synchronization problem between hyperchaotic Rossler system and hyperchaotic Chen system has been investigated. We consider the hyperchaotic Rossler system as the drive system and hyperchaotic Chen system as the response system. Last, Numerical simulations are shown to verify the results.
20762776
A Symmetric Orthogonal FastICA Algorithm and Applications in EEG
Extracting a number of independent components,FastICA algorithm can ensure that, each component extracted has never been extracted by adding orthogonalization steps. However, Gram-Schmidt orthogonal method implemented itself that estimation error of the first vector has been accumulated in the subsequent vectors. In this paper, the square root of the classical matrix method is used to achieve symmetric orthogonal that parallel to estimate the source of variables and avoid the Gram-Schmidt orthogonal method of estimation error accumulation problem. The symmetric orthogonal FastICA algorithm is apply in removal EEG artifacts (including eye movement, blinking, ECG, EMG, etc). The experiment and simulation results demonstrate that the symmetry orthogonal FastICA algorithm removes the artifacts and has a better separation efficiency and fast convergence.
31999867
A Novel Classifier with the Immune-Training Based Wavelet Neural Network
After analyzing the classification and training ability of a wavelet neural network (WNN), a novel WNN learning scheme integrating immunity based evolutionary algorithm (IDEA) is proposed, in which, IDEA is an evolutionary algorithm with an embedded immune mechanism. When WNN is used as a classifier, the process of seeking the least mean-square error (LMS) of an optimal problem is equivalent to that of finding the wavelet feature with maximal separability, namely, maximizing its separable division. On the other hand, with the capability of robust learning of its evolutionary process, IDEA is able to eliminate local degenerative phenomenon due to blindfold behaviors of original operators in the existing evolutionary algorithms. In the case of the twin-spiral problem, experimental simulation shows the feasibility of WNN training with the IDEA based learning algorithm.
119668212
Impulsive optimal control model for the trajectory of horizontal wells
This paper presents an impulsive optimal control model for solving the optimal designing problem of the trajectory of horizontal wells. We take fully into account the effect of unknown disturbances in drilling. The optimal control problem can be converted into a nonlinear parametric optimization by integrating the state equation. We discuss here that the locally optimal solution depends in a continuous way on the parameters (disturbances) and utilize this property to propose a revised Hooke-Jeeves algorithm. The uniform design technique is incorporated into the revised Hooke-Jeeves algorithm to handle the multimodal objective function. The numerical simulation is in accordance with theoretical results. The numerical results illustrate the validity of the model and efficiency of the algorithm.
117675
Analysis of Deskew Signaling Via Adaptive Timing
This paper presents an adaptive timing method for analysis of deskew signaling in high-performance integrated systems. The proposed approach models the practical deskew schemes as an adaptive system to study the performance limit of deskew signaling. We investigate the statistical properties of optimal deskew, which can be considered as the theoretical limit of deskew signaling. This approach also allows us to study the related energy efficiency issues in deskew schemes. We determine the bound on energy efficiency subject to the performance constraint on deskew signaling. Simulation results show that the performance of practical deskew schemes in a 90-nm process is 23.2% away from the optimal deskew scheme, and the gap of energy efficiency is 51% above the bound.
45577558
MM-Correction: Meta-analysis-Based Multiple Hypotheses Correction in Omic Studies
The post-Genomic Era is characterized by the proliferation of high-throughput platforms that allow the parallel study of a complete body of molecules in one single run of experiments (omic approach). Analysis and integration of omic data represent one of the most challenging frontiers for all the disciplines related to Systems Biology. From the computational perspective this requires, among others, the massive use of automated approaches in several steps of the complex analysis pipeline, often consisting of cascades of statistical tests. In this frame, the identification of statistical significance has been one of the early challenges in the handling of omic data and remains a critical step due to the multiple hypotheses testing issue, given the large number of hypotheses examined at one time. Two main approaches are currently used: p-values based on random permutation approaches and the False Discovery Rate. Both give meaningful and important results, however they suffer respectively from being computationally heavy -due to the large number of data that has to be generated-, or extremely flexible with respect to the definition of the significance threshold, leading to difficulties in standardization. We present here a complementary/alternative approach to these current ones and discuss performances, properties and limitations.
15780361
The Real-Time Networked Data Gathering Systems Based on EtherCAT
Distributed control systems have been growing explosively and the Fieldbus technology has been widely employed for networked data gathering system. However, few Field-bus is real time down to the I(Input)/O(Output) level and most of them have a large number of sub-systems. In this paper we introduce a novel high-speed industry Ethernet bus known as EtherCAT into data gathering system. A networked data gathering system based on EtherCAT is achieved and the experimental results indicate the system can perform well in real-time data transmission.