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公开(公告)号：US11074162B2
公开(公告)日：2021-07-27
申请号：US16435859
申请日：2019-06-10
IPC: G06F11/36
Abstract: A computer-implemented method for automated test script generation for application testing, more particularly for testing one or more functions of Application Under Test (AUT) where, in operation, a test case flow sequence is ascertained, including a data list defining one or more methods, where each method is further representative of an automation code corresponding to a manual step of the test case, and a test class for testing a function of AUT is generated using the test case flow sequence if each of the one or more methods are available in the framework, such that the disclosure provides for generating a test class for testing the function of AUT by automatically generating the one or methods if the methods are not available in the framework.
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公开(公告)号：US20210143975A1
公开(公告)日：2021-05-13
申请号：US16740550
申请日：2020-01-13
Inventor： Babu Chinniah Lakshmanan , Prasad Soundararajan , Velayudhaperumal Tamilarasi Karthik Kumar , Semeerali Koniyath
Abstract: A system and method for converting an input dataset based on a query received via a user interface into one or more defined range values is provided wherein the input dataset is converted into one or more defined range values based on a conversion value matrix. The present invention provides for encrypting the defined range values of the input dataset into a first cipher text matrix. Further, the present invention provides for encrypting the conversion value matrix into second cipher text matrix. The present invention provides for performing a computation operation between the first cipher text matrix and the second cipher text matrix to generate an aggregated cipher text matrix. The present invention provides for decrypting the aggregated cipher text matrix into a decrypted result matrix. The present invention provides for performing an aggregation operation by counting pre-defined digit in each column of the decrypted result matrix.
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公开(公告)号：US20210134062A1
公开(公告)日：2021-05-06
申请号：US16744781
申请日：2020-01-16
Inventor： Rajkumar Joseph , Safuvan Puthan Peedika , Arun Muthuraj Vedamanickam , Rajgopal Appakutty , Purwa Rathi
Abstract: The present invention relates to an artificial intelligence based system and method for moderating interaction between interacting users. The attempt is to improve emotional intelligence of users so that a seasoned response and reaction is observed during interaction, even if situations of conflict arise. The disclosure, thus, provides for a mixed reality glass powered assistant that displays the moderated expressions of a customer to the service provider. For the same, the analytical engine upon determining the negative emotions of customer, transforms the image of customer and adds smile to his face, which is presented to the service provider via a mixed reality glass so that he responds back to the customer in a positive manner.
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公开(公告)号：US20210126931A1
公开(公告)日：2021-04-29
申请号：US16727012
申请日：2019-12-26
Inventor： Lakshmanan Babu , Vinoth Selvaraj , Srihari Viswanathan , Rohith Cheriakallil , Keerthika Dasarathan
Abstract: The present invention discloses a system and a method for detecting anomalous patterns in a network such as a LAN, WAN, MAN, internet of things (Iot), cloud networks, or any other network. In operation, the system and method of the present invention determines a generic pattern of behavior associated with a plurality of anomaly classes based on a plurality of feature values using reinforcement learning technique. The generic pattern is fixed as a boundary for each of the plurality of anomaly classes and is representative of behavior which substantially simulates the network behavior on attack by any of the plurality of anomaly classes. Further, the present invention, provides for updating the generic pattern using reinforcement learning. The updated generic pattern is implemented to analyze and detect anomalous behavior in the incoming network traffic in real time.
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公开(公告)号：US20210103869A1
公开(公告)日：2021-04-08
申请号：US16695579
申请日：2019-11-26
Inventor： Hari Saravanabhavan , Chandrasekhar Balasubramanyam
Abstract: A system and method for optimizing solution identification for a data analytics problem is provided. The present invention provides for rendering multiple standard use cases associated with one or more data analytics problems. Standard use case is flagged from amongst the multiple standard use cases for analysis. Further, analyzing the flagged standard use case based on corresponding set of algorithms from pre-defined set of algorithms for determining sub-category of standard use case. Further, performing check to determine availability of in-built solution for solving one or more data analytics problems of the determined sub-category of standard use case based on corresponding set of algorithms from pre-defined set of algorithms. Finally, generating alert for development of one or more solutions to the problems related to determined sub-category of standard use case if built-in solution is not found. A solution is received from external developed solutions in response to alert.
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Patent Agency Ranking
公开(公告)号：US10949702B2
公开(公告)日：2021-03-16
申请号：US16440136
申请日：2019-06-13
Inventor： Rajkumar Joseph , Venugopal Gundimeda , Jerubbaal John Luke , Mahesh Balaji
Abstract: A system and method for retrieval of similar images related to query images is provided. The query images are pre-processed for noise removal by selecting filtering technique based on noise variance estimation in each query image with respect to pre-set noise variance threshold value. The pre-processed query images are pre-classified for determining class one image identifier. Image types are generated from pre-processed query images for determining class two image identifier. Features are extracted from pre-classified query images based on class one image identifier and from generated images based on class two image identifier. The images similar to query images are retrieved which have features similar to extracted features of pre-classified query images and generated images. The retrieved similar images are ranked for determining most similar images with respect to query images. Similarity between query images and retrieved similar images is analyzed for re-ranking retrieved similar images.
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公开(公告)号：US20210019547A1
公开(公告)日：2021-01-21
申请号：US16569804
申请日：2019-09-13
Inventor： Kumar Vishal , Ritesh Mishra , Arvind Channarayapatna Srinivasa , Venugopal Gundimeda
IPC: G06K9/46 , G06K9/00 , G06F16/583
Abstract: A system and method for for grouping of similar image classes for image recognition is provided. The invention comprises extracting one or more features from multiple classes of images for determining a correlation value between each of the multiple classes of images based on assessment of the extracted features of each one of the classes of images with respect to other classes of images in the multiple classes of images. Further, the one class of image is grouped with the other class of image in the multiple classes of images to form one or more groups of super-classes of similar class of images based on analysis of the determined correlation values with respect to a pre-determined threshold value. An input image is recognized based on the formed groups of super-classes followed by sub-class classification of the images.
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58.发明申请公开(公告)号：US20200372371A1
公开(公告)日：2020-11-26
申请号：US16540219
申请日：2019-08-14
Inventor： Sakthivel Sabanayagam , Saroj Pradhan , Sougata Maitra , Angusamy Vimal Kumar , Sourav Chatterjee
Abstract: A system and method for optimizing solution identification for a problem is provided. The invention comprises generating multiple solutions for the problem by selecting population of datasets from a search space. Further, fitness of each generated solution is determined by utilizing a fitness approximation model for selecting solutions from the generated solutions for generating a next generation of solutions until the solutions converge based on a pre-determined convergence target. Further, solutions from the converged solutions are filtered by utilizing a filtering model for performing a concrete evaluation. The concrete evaluation is performed for identifying productive solutions and unproductive solutions from the solutions filtered from the converged solutions. Further, a feedback based on the concrete evaluation is provided. Furthermore, the solution identification for a problem is carried out iteratively until a termination condition is met.
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公开(公告)号：US20200334486A1
公开(公告)日：2020-10-22
申请号：US16440136
申请日：2019-06-13
Inventor： Rajkumar Joseph , Venugopal Gundimeda , Jerubbaal John Luke , Mahesh Balaji
IPC: G06K9/46 , G06F16/535 , G06T5/00 , G06T5/20 , G06N3/08
Abstract: A system and method for retrieval of similar images related to query images is provided. The query images are pre-processed for noise removal by selecting filtering technique based on noise variance estimation in each query image with respect to pre-set noise variance threshold value. The pre-processed query images are pre-classified for determining class one image identifier. Image types are generated from pre-processed query images for determining class two image identifier. Features are extracted from pre-classified query images based on class one image identifier and from generated images based on class two image identifier. The images similar to query images are retrieved which have features similar to extracted features of pre-classified query images and generated images. The retrieved similar images are ranked for determining most similar images with respect to query images. Similarity between query images and retrieved similar images is analyzed for re-ranking retrieved similar images.
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公开(公告)号：US10660576B2
公开(公告)日：2020-05-26
申请号：US15690662
申请日：2017-08-30
Inventor： Mahesh Balaji , Venugopal Gundimeda , Parthasarathi Jinka , Rajkumar Joseph , Sakthi Indra Sambandam , Ratan Sundarrajan Murali , Vinayaka Raj
Abstract: A system and computer-implemented method for detecting retinopathy is provided. The system comprises an image input module configured to receive one or more fundus images. Further, the system comprises a pre-processing module configured to apply one or more transformations to the one or more received fundus images. Furthermore, the system comprises a feature extraction module configured to extract one or more features from the one or more transformed images using one or more Convolutional Neural Networks (CNNs). Also, the system comprises a prediction module configured to determine stage of retinopathy by classifying the one or more extracted features using pre-stored features, wherein the pre-stored features are extracted from one or more training fundus images by the one or more CNNs and further wherein each pre-stored feature corresponds to a class which is associated with a predetermined stage of retinopathy.
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