公开(公告)号：US20240256607A1

公开(公告)日：2024-08-01

申请号：US18229607

申请日：2023-08-02

Applicant: INFOSYS LIMITED

Inventor： Steven SCHILDERS

IPC: G06F16/901

CPC classification number: G06F16/9024

Abstract: A method discloses obtaining a node template comprising a predetermined node structure and rules governing generation of node instances based on the node template. Data elements are received. A run-time node is generated in response to the reception of the data elements. The run-time node comprises the node template and a node instance. The node instance comprises the data elements mapped to the node template based on the rules of the node template. A run-time overlay comprising an overlay template and an overlay instance comprising processing logic implementing at least one generic rule of the overlay template are obtained. The executable run-time node is generated. It comprises a composition of the run-time node and the run-time overlay such that the processing logic of the run-time overlay is operable to interact with the run time node during execution of the executable run-time node.

公开(公告)号：US11983528B2

公开(公告)日：2024-05-14

申请号：US17394167

申请日：2021-08-04

Applicant: Infosys Limited

Inventor： Venkatachaliah Babu Kanamanapalli ,  Harish Koteshwar Narayan

IPC: G06F8/77 ,  G06F8/41 ,  G06F8/60

CPC classification number: G06F8/77 ,  G06F8/433 ,  G06F8/60

Abstract: A method and/or system for automated simulation of releases in Agile environments is disclosed. The system is an automated simulation engine comprising—release simulation engine to perform simulate at program or release level and sprint simulation engine to perform simulation at sprint level. The system enables user to simulate execution pattern of user stories, identify spillover user stories and risks in the execution pattern simulated by the system and re-run the simulation iteratively by modifying various project related parameters to arrive at an optimal release plan for projects in Agile environment before the actual allocation to project teams, thereby foreseeing the possible risks and mitigating them for efficient project delivery.

公开(公告)号：US11875141B2

公开(公告)日：2024-01-16

申请号：US17532948

申请日：2021-11-22

Applicant: INFOSYS LIMITED

Inventor： Kamalkumar Rathinasamy ,  Amanpreet Singh ,  Balaguru Sivasambagupta ,  Prajna Prasad Neerchal ,  Vani Sivasankaran

IPC: G06F8/51 ,  G06N3/08 ,  G06F8/41 ,  G06F40/40

CPC classification number: G06F8/51 ,  G06F8/447 ,  G06N3/08 ,  G06F40/40

Abstract: The system and method for training a neural machine translation (NMT) model is disclosed wherein training data in terms of source statements and equivalent targets statements may be received. The source statements and equivalent targets statements may be encoded using source and target vocabulary respectively. A source-target map containing relation between tokens is created. The source statements and equivalent target statements is split into multiple fragments using fragments generator based on the source-target map. Such generated multiple fragments are used to train NMT model. Whenever the trained NMT model receives a source codes as input, the source codes are transformed to target codes.

公开(公告)号：US20230319063A1

公开(公告)日：2023-10-05

申请号：US17707253

申请日：2022-03-29

Applicant: INFOSYS LIMITED

Inventor： Sreekanth SREEDEVI SASIDHARAN ,  Hariharan BALASUBRAMANIAN ,  Anuj TANEJA

IPC: H04L9/40

CPC classification number: H04L63/1416 ,  H04L63/1425 ,  H04L63/20 ,  H04L63/0236

Abstract: Embodiments of the present disclosure discloses a method, an apparatus and a system for securing Network Functions (NFs) in a disaggregated network. The apparatus receives metrics and events related to one or more Network functions from an agent deployed in a host system. The apparatus validates the metrics and events by comparing with reference metrics and events. Further, the apparatus detects a threat in the disaggregated network based on the validation and performs one or more actions. The proposed solution helps in detecting an attack that originates from within a host machine of the disaggregated network, isolate the rogue NF and perform actions to protect the rest of the disaggregated network.

公开(公告)号：US20230306771A1

公开(公告)日：2023-09-28

申请号：US17704611

申请日：2022-03-25

Applicant: INFOSYS LIMITED

Inventor： Kalyan BOOSETTY ,  Kosigamaani THIRUMOORTHY

IPC: G06V30/414 ,  G06V30/412 ,  G06V30/416

CPC classification number: G06V30/414 ,  G06V30/412 ,  G06V30/416

Abstract: A method and/or system for template agnostic document reader for automated extraction of data from documents is disclosed, wherein the kernel values are extracted from document image using which horizontal lines and vertical lines are determined in the document image. The horizontal lines are determined by extracting pixel values representing character width in the document image. The area of intersecting horizontal and vertical lines in the image is identified as tabular section and tabular data is extracted. The area in the document image with text and horizontal lines and absence of vertical lines are identified as forms section and forms data is extracted. The area in the document image without any horizontal lines and vertical lines and with similar line spacing are identified as paragraph section and paragraph data is extracted.

公开(公告)号：US20230306447A1

公开(公告)日：2023-09-28

申请号：US17704939

申请日：2022-03-25

Applicant: INFOSYS LIMITED

Inventor： Romi MALIK ,  Debamalya CHOUDHURY ,  Anshuman SHAROTRI ,  Prasad R S ,  Vinay Govindan MURALIDHARAN ,  Kanad BHOWMIK ,  Rashmikant MOHANTY ,  Bhagyashree Mathad S

IPC: G06Q30/02 ,  G06F40/30 ,  G06F40/279

CPC classification number: G06Q30/0201 ,  G06Q30/0282 ,  G06F40/30 ,  G06F40/279

Abstract: Disclosed herein is method and system for contextual sentiment analysis of competitor referenced texts. The method comprises obtaining, by a system a plurality of texts and a lexicon comprising keywords indicating a competitor entity and a target entity. Further, identifying texts from the plurality of texts including the keywords. Furthermore, determining a pattern from a plurality of patterns in the texts using Artificial Intelligence (AI) models. Furthermore, identifying a placement of the competitor entity and the target entity in the texts using the AI models. Furthermore, determining for each of the texts, a tonality score indicating a tone towards the target entity based on the placement of the target entity and the pattern. Furthermore, determining a sentiment for each of the texts based on the tonality score. Finally, notifying the sentiment towards the target entity on a notification unit.

公开(公告)号：US20230252953A1

公开(公告)日：2023-08-10

申请号：US17701914

申请日：2022-03-23

Applicant: INFOSYS LIMITED

Inventor： Bobin Johnson VIJAYAKUMARI

IPC: G09G5/00 ,  H04L65/60

CPC classification number: G09G5/003 ,  H04L65/604 ,  G09G2340/0442 ,  G09G2340/0407

Abstract: Provided is a method and system for placing one or more elements over a media artifact by identifying an adjustment requirement of the media artifact on a device, identifying a placeholder for each of the one or more elements on the media artifact, checking a position of the placeholder in an initial device; and identifying a relative position for the placeholder for each element, on the media artifact at a distance from the appropriate margins of the device based on the identified adjustment requirement and the checked position.

公开(公告)号：US11715266B2

公开(公告)日：2023-08-01

申请号：US17479675

申请日：2021-09-20

Applicant: Infosys Limited

Inventor： Sekar Karuppannan ,  Vaibhav Nighojkar ,  Adithya Kuppili ,  Yatish Siddagangaiah ,  Gaurav Ojha

IPC: G06T19/00 ,  G06Q30/0601

CPC classification number: G06T19/003 ,  G06Q30/0643 ,  G06T2210/16

Abstract: Provided is method and system for organizing a virtual showroom with one or more 3d images. Scripts are generated from the input images provided by the user, for generating 3D images of the products in the showroom. The generated 3D images can be in folded form, hanger display or mannequin.

公开(公告)号：US11663815B2

公开(公告)日：2023-05-30

申请号：US17191338

申请日：2021-03-03

Applicant: Infosys Limited

Inventor： Ujwal Bhate ,  Ninad Kulkarni ,  Shaurya Dwivedi

IPC: G06T7/00 ,  G06K9/62 ,  G06V10/94

CPC classification number: G06T7/0008 ,  G06K9/6257 ,  G06K9/6262 ,  G06K9/6269 ,  G06V10/95 ,  G06V10/955 ,  G06T2207/10016 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30136 ,  G06V2201/06

Abstract: Examples of the present invention provides a method and system for inspection of heat recovery steam generator (HRSG) equipment to identify defects and damages using computer vision and deep learning techniques. The method comprising capturing one or more input frames by one or more input devices, classifying the one or more input frames by a scenario classifier to identify a scenario type based on a first modelled data prepared by training one or more deep neural networks (DNN), selecting at least one damage detector based on the identified scenario type, identifying one or more damage types by the at least one damage detector based on second modelled data prepared by training the one or more DNN and displaying one or more output frame indicating the identified one or more damage types of the HRSG equipment.

公开(公告)号：US20230039566A1

公开(公告)日：2023-02-09

申请号：US17554107

申请日：2021-12-17

Applicant: INFOSYS LIMITED

Inventor： Sidharth Subhash GHAG ,  Amit Govind Gaonkar ,  Ananth Kumar Sadhanantham ,  Pradeep Kumar Kondagula Suryanarayana ,  Hasit Girish Trivedi

IPC: G06F11/34 ,  G06F11/07 ,  G06F11/30 ,  G06N20/00

Abstract: A method and/or system for automated detection and automated remediation of anomalies in Robotic Process Automation (RPA) environment is disclosed. The method comprises auto discovering resources (RPA components and its dependencies) in an RPA platform. The discovered resources are monitored though observation metrics whose values are obtained by executing pre-defined scripts. The obtained values are validated against threshold values to determine if there are any anomalies, wherein the threshold values may either be static values or dynamic values. If there is a breach of threshold, a remediation plan is automatically executed causing the remediation of anomalies. The system is trained to determine the dynamic threshold values through machine learning models which are developed and trained through metrics data and by determining error patterns from the historic unstructured log data.