Common spatial pattern(CSP) has been one of the most popular methods for EEG feature extraction in brain-computer interface(BCI) application. Although the CSP usually provides good discriminant features for classifica...
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Common spatial pattern(CSP) has been one of the most popular methods for EEG feature extraction in brain-computer interface(BCI) application. Although the CSP usually provides good discriminant features for classification,it is also known to be sensitive to overfitting and *** study introduces a shrinkage technique to regularize estimation of the covariance matrices in the CSP and hence a novel shrinkage CSP(SCSP) method,which could effectively alleviate the effects of small training sample size and unbalanced data on classification. The proposed SCSP is validated on feature extraction of P300 that has been widely adopted for BCI *** accuracies are evaluated by using linear discriminant analysis(LDA) with experimental EEG data from seven *** results indicate that the proposed SCSP extracts more effective features that yield higher classification accuracy than that by the traditional CSP.
Intelligent procedure expert system was developed to select appropriate GTAW procedure in this ***,the function design and implementation methods of the welding procedure expert system were *** expert system can prese...
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Intelligent procedure expert system was developed to select appropriate GTAW procedure in this ***,the function design and implementation methods of the welding procedure expert system were *** expert system can present the welding procedure card,multimedia display of welding process,and output function to makes the data sharing more ***,the database design of the welding procedure expert system based on C/S mode was presented where the expert knowledge was *** last,the neural network model was established to realize procedure selection based on the neural network learning ability and the welding case from the *** the BPNN model,the welding parameters can be obtained based on the input welding conditions.
This paper studies the scheduling problem in a permutation flow shop with the objective of makespan, which is known as one of major problems in the field of scheduling. In order to solving the corresponding model, an ...
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This paper studies the scheduling problem in a permutation flow shop with the objective of makespan, which is known as one of major problems in the field of scheduling. In order to solving the corresponding model, an improved shuffled frog leaping algorithm(ISFLA) is put forward for this kind of scheduling problem. A new leaping rule based on the characteristic of the problem is devised to improve the performance of the ISFLA. And it can not only produce feasible solutions but also maintain the structure characteristic of the SFLA. Computational experiments on benchmark sets show that the proposed ISFLA is greatly effective to generate good solutions relative to the other two algorithms.
The Internet accelerates the communication and understandings between people, which make information unprecedented important. Furthermore, it changes the way that people book rooms, which makes rooms-booking diversifi...
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Genlstein,the major Isoflavone in soybean,was recently reported to exert beneficial effects in metabolic disorders and inflammatory *** the;present study,we investigated the effects arid mechanisms of a dietary concen...
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Genlstein,the major Isoflavone in soybean,was recently reported to exert beneficial effects in metabolic disorders and inflammatory *** the;present study,we investigated the effects arid mechanisms of a dietary concentration of genlstein on the inflammatory response In lipopofysaccharide(LPS)-treated RAW 264.7 *** results demonstrated that genistein effectively jnhibited the LPS-induced overproduction of tumor necrosis factor-alpha(TNF-α)and interleukin 6(IL-6),as well as LPS-induced nuclear factor kappa B(NF-κB) *** addition,the data also showed that genlstein prevented LPS-lnduced decrease In adenosine moriophosphate-activated protein kinase(AMPK)*** effects were opvj !ously attenuated by an AMPK *** together,our results suggest that the dietary concentration of genlstein is able to attenuate inflammatory responses via inhibition of NF-κB activation following AMPK stimulation:The data provide direct evidence for the potential application of low concentrations of genlstein in the prevention and treatment of Inflammatory diseases.
The prediction of financial distress for financial institutions has been extensively researched for a long time. Latest studies have shown that such ensemble techniques have performed better than single AI technique i...
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This paper investigates the problem of sliding mode control for a class of stochastic Markovian jumping systems with partially known transition rate.A key feature in this work is to relax the requirement that all the ...
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ISBN:
(纸本)9781479900305
This paper investigates the problem of sliding mode control for a class of stochastic Markovian jumping systems with partially known transition rate.A key feature in this work is to relax the requirement that all the elements in transition rate matrix are known,which is usually encountered in some existing *** is shown that the reachability of the specified sliding surface can be ensured by the designed sliding mode ***,the suffcient conditions for the stability of the sliding motion on the sliding surface are also derived.
Brain-Computer Interface (BCI) is a novel communication system without depending on conventional brain output paths (such as peripheral nerve and muscle tissue) of the brain. The evaluation of effective EEG patterns i...
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Brain-Computer Interface (BCI) is a novel communication system without depending on conventional brain output paths (such as peripheral nerve and muscle tissue) of the brain. The evaluation of effective EEG patterns is one of the crucial issues in the current research of BCI. Most of the traditional visual evoked paradigms only evoke one kind of EEG pattern for the subsequent feature classification. This study presents a new paradigm based on P300 and Steady-State Visual Evoked Potential (SSVEP) that involves event-related stimulation and frequency flashing stimulation. P300 and SSVEP patterns are evoked simultaneously to enhance the discriminability of features. Offline comparison is implemented among the proposed paradigm and the traditional P300 and SSVEP paradigms. The results show that the new paradigm evokes more significant P300 features while weaken SSVEP features a little without destroying the online feasibility of the BCI system. Therefore, the proposed paradigm can satisfy requirements from different subjects to enlarge the user of group.
This paper studies the state feedback stabilization of LTI plants over wireless block-fading channels. The packet-loss rate of each channel depends on power level and packet length used for transmission as well as cha...
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This paper studies the state feedback stabilization of LTI plants over wireless block-fading channels. The packet-loss rate of each channel depends on power level and packet length used for transmission as well as channel power gain. Different from the case of fixed packet-loss rate, the packet-loss rate considered in this paper is random and time-varying as the channel power gain is so for wireless communication. When power level and packet length are assumed to be time-invariant for every transmission at each channel, necessary and sufficient conditions for mean square stabilizability via state feedback are given in terms of the unstable poles of the plant. The performance defined as the asymptotic mean square norm of the system state is also discussed for the scalar case.
In order to solve the problem when monitoring and controlling penicillin fermentation processes,So an intelligent modeling method based on Quantum Particle Swarm optimization(QPSO) algorithm and Weighted Least Squares...
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In order to solve the problem when monitoring and controlling penicillin fermentation processes,So an intelligent modeling method based on Quantum Particle Swarm optimization(QPSO) algorithm and Weighted Least Squares Support Vector Machines(WLS-SVM) is presented,which can overcome the noise of sample data,the high *** the method in penicillin fermentation processes and compared with the Pensim simulation platform data,it obviously found that the WLS-SVM is superior to the unweighted LS-SVM modeling method that has a better estimation accuracy and robustness.
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