Although brain-computer interface (BCI) is considered a revolutionary advancement in human-computer interaction and has achieved significant progress, considerable gap remains between the current technological capabilities their practical applications. To promote translation of BCI into applications, gold standard for online evaluation classification algorithms been proposed some studies. However, few studies have more comprehensive method entire system, it not yet received sufficient...

Brain-computer interface (BCI) is a revolutionizing human-computer interaction, which has potential applications for specific individuals or groups in scenarios. Extensive research been conducted on the principles and implementation methods of BCI, efforts are currently being made to bridge gap from real-world applications. However, there inaccurate erroneous conceptions about BCI among some members public, certain media outlets, as well researchers, developers, manufacturers, regulators,...

Due to the epicyclic motion of planet gears, vibration picked up from planetary gearboxes is different that observed fixed-axis gearboxes. In particular, transfer path time-varying, which makes time synchronous averaging (TSA) not directly usable reduce nonsynchronous interferences for improving signal-noise ratio (SNR) vibration. Hence, it difficult detect teeth faults and sun gears. order address this issue, a novel scheme proposed in paper, combines separation, equi-angle resampling,...

Background: Monitoring and evaluating dynamic changes in brain states during electroencephalography (EEG) neurofeedback training (NFT) for post-traumatic stress disorder (PTSD) patients remains challenging when using traditional methods. Method: This study proposes a novel Process Noise Dynamic Adaptation-Mesoscale Mesonetwork Network (PNDA-MMNet) model, which improves upon conventional techniques by establishing discrete linear model of the NFT process. The utilizes mesoscale intermediate...

Objective: Tangent Space Mapping (TSM) using the geometric structure of covariance matrices is an effective method to recognize multiclass motor imagery (MI). Compared with traditional CSP method, Riemann based on TSM takes into account nonlinear information contained in matrix, and can extract more abundant features. Moreover, unsupervised operation, which reduce time feature extraction. However, EEG features induced by MI mental activities different subjects are not same, so selection...

Porous silicon (PS) layers were formed on textured crystalline by electrochemical etching in HF-based electrolyte. Optical and electrical properties of the TMAH surfaces with PS formation are studied. Moreover, influences initial structures anodizing time optical after investigated. The results show that present a dramatic decrease reflectance. longer is, lower an surface bigger pyramids achieved reflectance short wavelength range. A minimum 3.86% at 460 nm is for 2 min. Furthermore,...

Common spatial pattern (CSP) is an effective algorithm for extracting electroencephalogram (EEG) features of motor imagery (MI); however, CSP mainly aims at multichannel EEG signals, and its effect in with fewer channels poor—even worse than before using CSP. To solve the above problem, a new combined feature extraction method has been proposed this study. For signals from (three channels), wavelet packet transform, fast ensemble empirical mode decomposition, local mean decomposition were...

We observe a strong correlation between the ring oxidation-induced stack faults (OISF) formed in course of phosphor diffusion and efficiency Czochralski-grown silicon solar cells. The main reason for ring-OISF formation growth substrate is oxidation phosphorus process induced self-interstitial point defect during POCI3 diffusion. decreasing minority carrier length crystal cell by defects identified to be one major causes loss.

Aiming at the problem that transformer substation intelligent detection of vehicles in process moving away from planning path, based on four-wheel model vehicle, this paper proposes a fuzzy adaptive PID path tracking control method optimal lateral deviation. Firstly, kinematic and equation linear 2-DOF vehicle are established by taking front wheel steering angle as input system. Secondly, quadratic regulator (LQR) is introduced to minimize transverse error between expected path. Finally,...

Implantable brain-computer interfaces (BCIs) have potentially important clinical applications due to the high spatial resolution and signal-to-noise ratio of electrodes that are closer or implanted in cerebral cortex. However, surgery implantable BCIs carry safety risks brain tissue damage, their medical face ethical challenges, with little literature date systematically considering norms for BCIs. In order promote translation this type BCI, we considered ethics practice application BCIs,...

Objectives . Brain‐computer interface (BCI) based on functional near‐infrared spectroscopy (fNIRS) is expected to provide an optional active rehabilitation training method for patients with walking dysfunction, which will affect their quality of life seriously. Sparse representation classification (SRC) oxyhemoglobin (HbO) concentration was used decode imagery and idle state construct fNIRS‐BCI imagery. Methods 15 subjects were recruited fNIRS signals collected during state. Firstly,...

A strongly coupled oscillator can be used to detect weak pulse signals and recover waveforms, but its detection frequency of signal is limited by the system’s built-in frequency. With a fixed frequency, system only effectively in certain range, waveform distortion occurs when higher frequencies are detected. In this work, relationship between range analyzed, two kinds improved structures proposed extend signals. By introducing nonlinear restoring force coupling term, retain high-frequency...

At present, the detection technology of non-contact ultrasonic and transient earth voltage is widely used in partial discharge switchgear. The test result directly related to diagnosis evaluation insulation state electrical equipment. In order characterize accuracy PD detection, it proposed use terminal linearity calculation analyze detector frequency band. Finally, UltraTEV Plus carried out by setting up a dedicated performance platform laboratory, which verifies effectiveness method...

Due to the epicyclic motion of planet gears, vibration picked up from planetary gearboxes is significantly different that fixed-axis gearboxes. In particular, transmission path time-varying. Hence, it difficult detect localized gear faults order address this issue, a constructive method proposed in paper, which combines separation, tracking, and resonance demodulation analysis approaches. Firstly, complex envelope extracted by fast kurtogram algorithm. Then, equi-angle resampled eliminate...