Tanishqa Tyagi

Bio: Tanishqa Tyagi is an academic researcher from Shiv Nadar University. The author has contributed to research in topics: Dispersion (water waves) & Traveling-wave tube. The author has co-authored 1 publications.

Modified Dispersion Equation for Planar Open Tape Helix Travelling Wave Tube

Abstract: The dispersion equation for a planar traveling wave tube with anisotropically conducting open helix structure is derived. Using, the accurate boundary conditions along all the sides of the planar TWT and along the winding direction of the TWT using indicator function, the exact solution of a homogenous boundary value problem for Maxwell's equations is derived. A total number of six different complex constants are derived from a set of six boundary conditions for the proposed cold wave analysis. The presented theoretical analysis will be used in the design of the planar travelling wave tube amplifier (TWTA).

A testosterone pattern-based sEMG signal classification method using Singular Spectrum Analysis

Abstract: Electromyogram (EMG) signals are crucial to record muscle activity. Several papers have been proposed about EMG signals and mostly machine learning techniques have been used to extract information from EMG signals. In this paper, a molecular-based feature extractor model has been presented. This architecture uses Singular spectrum analysis (SSA) to form sub-bands which are then subjected to statistical feature extraction. The sub-bands are also used to generate textural features using the Local Graph Structure method described in this paper. The feature matrix generated using these methods has been reduced in dimensionality using the Neighborhood Component Analysis (NCA). Finally, an Extreme Learning Machine model for classification has been used for the classification of gestures into their respective classes. The model achieved an accuracy of >97% for 10 classes.

EMG-based Gesture Recognition using Extreme Learning Machine

Abstract: Electromyography (EMG) signals are crucial data to track muscle activities making them a key point for design of prosthetic devices. In order to classify the finger movements in upper limb prothesis, a recognition method based on an extreme learning machine (ELM) is studied in this paper. The target to be recognized is constructed by grouping two kinds of hand gestures, individual finger movements, and combined finger movements. The recognition feature matrix is established by decomposing the windowed signal using wavelet transform and extracting conventional time-domain features from that. These features are then fed to three different classifiers for recognition of binary class. Currently, the best accuracy achieved using ELM is above 95%, outperforming Support Vector Machine (SVM) and Fine Trees in this study

Modified Accurate Dispersion Characteristics with field restricted current density distribution for Open Rectangular Planar Tape Helix

Abstract: A rectangular open tape helix is analysed for its dispersion characteristics by deriving the dispersion equations that restrict the fields within the tape helix region by incorporating a confinement function. The dispersion equations are derived by applying the accurate boundary conditions to one-quarter of the structure in axial and transverse directions owing to the symmetricity of the rectangular helical waveguide. The dispersion characteristics are numerically computed from an infinite number of simultaneous equations. The computed characteristics is compared with the theoretical model of sheath helix consisting of only the fundamental harmonics. Plotted dispersion characteristics reveals the potential usability of such devices as compact traveling wave tubes by miniaturization and can be printed.

Modified Accurate Dispersion Characteristics with field restricted current density distribution for Open Rectangular Planar Tape Helix

Abstract: A rectangular open tape helix is analysed for its dispersion characteristics by deriving the dispersion equations that restrict the fields within the tape helix region by incorporating a confinement function. The dispersion equations are derived by applying the accurate boundary conditions to one-quarter of the structure in axial and transverse directions owing to the symmetricity of the rectangular helical waveguide. The dispersion characteristics are numerically computed from an infinite number of simultaneous equations. The computed characteristics is compared with the theoretical model of sheath helix consisting of only the fundamental harmonics. Plotted dispersion characteristics reveals the potential usability of such devices as compact traveling wave tubes by miniaturization and can be printed.