VOICE RECOGNIZATION FOR MOUSE CONTROL USING HCI

One  of  the  most  important  research  areas  in  the  field  of  Human -Computer-Interaction (HCI) is gesture  recognition as it provides a natural and intuitive  way  to  communicate  between  people  and  machines.  Voice-based HCI applications range from computer applications to virtual/augmented reality and is recently being explored in other fields. This work proposes the implementation of absolute virtual mouse based on the interpretation of voice reorganization control. The procedure is to control the mouse pointer as for the mouse movement to up/down/left/right, open the file, dragging the file. This  virtual  device  is designed  specifically  as  an  alternative non-contact  pointer  for  people  with mobility impairments in the upper extremities. The implementation of the virtual mouse by voice control is to make HCI simplification for disabled persons especially for the person who are not having the hands and arms, and Alternative mouse cursor positioning system for laptops

ANALYSIS OF OVARIAN DISEASES USING ULTRASOUND IMAGES

Ovarian disease is the most common disease occurring in female reproductive organs. The premature recognition and action needed for diagnosis the disease to avoid infertility or cancer to them. The reason behind infertility is Polycystic Ovary Syndrome (PCOS) and the Ovarian Regenerative Tissues Cells.  PCOS is the kind of endocrine disorder present in female’s ovary and creates problem with Irregular menstrual periods, skin diseases, excess hair growth in body and face, acne and finally infertility. For ovarian regenerative tissues cells histopathology slides can be well stored put away in digitized color image design. One of the well known determination inclinations to recognize ovarian tissues is ultrasound image scanner. In any case, because of various shape, size and color, distinguishing proof of ovarian tissues is a testing assignment for ultrasound scanners as it procedure dark scale images. In order to overcome these diseases, we proposed techniques for ultrasound images. By this techniques follicle in the ovary and the ovarian regenerative tissues cells is automatically detected

Design and Modelling of Tunnel Field Effect Transistor- using TCAD Modeling

The purpose of this research was to suggest a junction-less strategy for a vertical Tunnel Field Effect Transistor, which would increase the device's efficiency. In this study, we examine the similarities and differences between a negative capacitor TFET and a vertically generated TFET with a source pocket and a heterostructure-based nanowire gate. And how the channel transit impacts the output qualities of a sub-100 nanometer sized device. The Silvaco TCAD (a commercially available tool) was used to simulate a tri-layer high-K dielectric made of hafnium zirconium oxide (HZO) and titanium dioxide (TiO2) materials as gate stacking to the V-TFET and GAA-NC-TFET structures, and the tunnelling and transport parameters were calibrated experimentally. A short bandgap material, GaSb, in the home region to enhance carrier tunnelling via the mentioned three source (GaSb)-channel (Si) heterojunction at varying biases were utilized. Motion, tube length, and saturating velocity are only few of the transport channel characteristics that are investigated. As a result of the building's vertical orientation, the electric field is enhanced, allowing for an ION current of up to 104 Am2. The most unexpected result of this device is that a high ION/IOFF may increase mobility and reduce saturation velocity, perhaps reducing the drain voltage at saturation. The proposed biosensor's sensitivity was multiplied by 108 when vertical and lateral tunnelling were used in tandem. We apply a variety of optimisation strategies to deal with this problem, despite the fact that quantum confinement reduces the effect of mobility variations on device performance. When biomolecules were positively charged, the drain current increased, and when they were negatively charged, the drain current decreased