Patents by Inventor Vipin Tripathi

Vipin Tripathi has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20230274377
    Abstract: The present disclosure provides an end-to-end proctoring system and method for conducting a secure online examination. The system comprises an image capturing device and an audio recording device for capturing and recording a plurality of live face images and a plurality of audio files of one or more users respectively. A processor is programmed to execute one or more module(s) stored in a memory, including, but not limited to, a user face recognition module, an occlusion detection module, a user authentication module, an object detection module, and an audio analytics module. The processor is further configured to control a warning module that may output a notification signal for the one or more module(s) when at least one suspicious activity is determined during the secure online examination. Further, the system with the processor for executing the one or more module(s) is pre-trained on various deep learning-based approaches for conducting a secure online examination.
    Type: Application
    Filed: December 13, 2021
    Publication date: August 31, 2023
    Inventors: Ritvik Kulshrestha, Tanay Karve, Deep Dwivedi, Abhra Das, Suman Gadhawai, Vipin Tripathi, Gaurav Sharma
  • Publication number: 20230237273
    Abstract: The present disclosure provides system and method for identification and classification of multilingual messages that would be considered inappropriate in an online interactive portal. The system may include processors to generate a set of data of intended inappropriate multilingual messages to train classification model. The set of data with labels is classified by assigning unique identifiers. The system includes pre-processing module to eliminate unwanted characters from set of data to train classification model. The classification model may be trained by multilingual representation module based at least in part on set of data with labels. The classification model determines whether set of data with one or more labels includes intended inappropriate multilingual messages. Furthermore, feedback loop module is utilised to retrain classification model recurrently to update set of data.
    Type: Application
    Filed: January 25, 2022
    Publication date: July 27, 2023
    Inventors: Ritvik Kulshrestha, Gaurav Sharma, Deep Dwivedi, Abhra Das, Suman Gadhawal, Vipin Tripathi
  • Patent number: 8264174
    Abstract: A proton acceleration system is provided for accelerating protons within a target. The system includes a laser source generating a laser beam having a wavelength ?L and intensity and a target formed of foil having a selected thickness. The target is irradiated by the laser beam and transformed into a plasma that has a target density. This causes a treatment energy to be emitted from the foil due to the irradiation. The thickness of the foil of the target is selected so that the foil has a thickness within a range of optimal thickness ?s to 2×?s, wherein ?s is less than the laser wavelength and is a function of the laser intensity, laser wavelength, and target density sufficient to achieve radiation pressure acceleration (RPA).
    Type: Grant
    Filed: July 26, 2010
    Date of Patent: September 11, 2012
    Assignee: University of Maryland
    Inventors: Chuan Sheng Liu, Xi Shao, Vipin Tripathi, Jao-Jang Su, Tung-Chang Liu
  • Publication number: 20110273115
    Abstract: A proton acceleration system is provided for accelerating protons within a target. The system includes a laser source generating a laser beam having a wavelength ?L and intensity and a target formed of foil having a selected thickness. The target is irradiated by the laser beam and transformed into a plasma that has a target density. This causes a treatment energy to be emitted from the foil due to the irradiation. The thickness of the foil of the target is selected so that the foil has a thickness within a range of optimal thickness ?s to 2×?s, wherein ?s is less than the laser wavelength and is a function of the laser intensity, laser wavelength, and target density sufficient to achieve radiation pressure acceleration (RPA).
    Type: Application
    Filed: July 26, 2010
    Publication date: November 10, 2011
    Applicant: University of Maryland
    Inventors: Chuan Sheng Liu, Xi Shao, Vipin Tripathi, Jao Jang Su, Tung-Chang Liu