-
公开(公告)号：US20250045780A1
公开(公告)日：2025-02-06
申请号：US18371096
申请日：2023-09-21
Inventor： Prakhar CHAUDHARY , Robert RAJASEKAR FRANKLIN MERLIN , Romeel SEDANI , Susmita BARUAH , Babu CHINNIAH LAKSHMANAN , Srinivasan RENGACHARI
IPC: G06Q30/0201 , G06Q20/02 , G06Q50/06
Abstract: A system and method for developing unified digital platform based virtual power banks is provided. A second data type is derived by analyzing record types. The record types are obtained from the first data type received from multiple sources. Virtual power banks are generated by employing the first and second data types fetched from database. Dynamic actionable items relating to the virtual power banks are generated from the first data type and the second data type. One or more variables are identified that correspond to different types of dynamic actionable items for categorizing the dynamic actionable items based on the identified variables. Lastly, optimization operations are performed on values of each of the identified variables to obtain an optimized final weightage value of the virtual power banks, accessed via a unified digital platform, based on which one or more operational parameters associated with the virtual power banks are determined.
-
2.发明公开公开(公告)号：US20240281664A1
公开(公告)日：2024-08-22
申请号：US18136985
申请日：2023-04-20
Inventor： Saravanan Radhakrishnan , Rahul Agarwal
IPC: G06N3/09 , G06N3/0442
CPC classification number: G06N3/09 , G06N3/0442
Abstract: A system and method for optimized training of a neural network model for data extraction is provided. The present invention provides for generating a pre-determined format type of input document by extracting words from input document along with coordinates corresponding to each word. Further, N-grams are generated by analyzing neighboring words associated with entity text present in predetermined format type of document based on threshold measurement criterion and combining extracted neighboring words in pre-defined order. Further, generated N-grams are compared with coordinates corresponding to words for labelling N-grams with field name. Further, each word in N-gram identified by the field name is tokenized in accordance with location of each of the words relative to named entity (NE) for assigning token marker. Lastly, neural network model is trained based on tokenized words in N-gram identified by token marker. The trained neural network model is implemented for extracting data from documents.
-
公开(公告)号：US20240281238A1
公开(公告)日：2024-08-22
申请号：US18206130
申请日：2023-06-06
Inventor： Madhu RAJAGOPALAN , Surendranathan Ardhanari , Senthikumar Chinnusamy , Trichur Krishnan Narayanan
Abstract: A system and a method for optimally assembling application modernization solutions is provided. One or more direct inputs or indirect inputs relating to application modernization solution determination are received as a query to identify and analyze one or more parameters associated with the inputs. Application modernization solutions are determined based on the analyzed parameters by applying a pattern recognition technique. Proximity and similarity of the parameters is assessed with the determined application modernization solutions by applying a nearest search technique. Lastly, the application modernization solutions are assembled for generating one or more catalogue application modernization solutions.
-
4.发明公开公开(公告)号：US20240272874A1
公开(公告)日：2024-08-15
申请号：US18136930
申请日：2023-04-20
Inventor： Dattaprasad Kulkarni , Hemant Patil , Rajeswari Kumaran , Neya Renganathan , Radha Ponram , Komal Sinha
IPC: G06F8/10 , G06F40/295
CPC classification number: G06F8/10 , G06F40/295
Abstract: A system and method for optimized processing of requirements data in a software development life cycle is provided. The present invention provides for determining a first pre-defined parameter, a second pre-defined parameter, a third pre-defined parameter, a fourth pre-defined parameter, a fifth pre-defined parameter, a sixth pre-defined parameter, and a seventh pre-defined parameter associated with user story by applying pre-defined rules respectively. Further, an output is rendered as Requirement Completeness Index (RCI) for user story data, and corrective actions are automatically carried out on user story data based on the generated RCI.
-
公开(公告)号：US20240260162A1
公开(公告)日：2024-08-01
申请号：US18101739
申请日：2023-01-26
Inventor： Anand Singh , Anand Srivastava , Vivek Ashok Bohara , Anand Kumar Jagadeesan
IPC: H05B47/195 , H04B10/116 , H05B47/115
CPC classification number: H05B47/195 , H04B10/116 , H05B47/115
Abstract: A system 10 to optimize a light emitting diode (LED) power allocation framework within a room is disclosed. The system 10 includes a data receiving subsystem 20, configured to receive parameters corresponding to light emitting diodes (LED), visible light communication (VLC) transmitters and visible light communication (VLC) receivers. The system 10 includes a blockage generalization subsystem 22, configured to identify location and height of one or more detected blockages within the room from the received parameters. The system 10 includes an optimal power allocation subsystem 24, configured to compute a visible light communication (VLC) channel gain for each of the one or more light emitting diodes (LED) with reference to identified location and identified height and configured to optimize the power allocation framework to achieve maximized visible light communication (VLC) data rate based on the computed visible light communication (VLC) channel gain and one or more constraints.
-
Patent Agency Ranking
6.发明公开公开(公告)号：US20240168744A1
公开(公告)日：2024-05-23
申请号：US18095565
申请日：2023-01-11
Inventor： Karthikeyan Mohan , Duraivel Kalyanasundaram , Rangarajan Ramadass
Abstract: A system and a method for managing cloud deployment configuration files and container base images for applications is provided. One or more application source code associated with configuration files and container images of applications are analyzed based on one or more pre-defined rule sets for determining cloud platform best-practice violations associated with the application source code. Further, impact on the application source code due to cloud platform changes is identified based on one or more search sets. Further, one or more remediation actions are executed for rectifying the determined cloud platform best-practice violations associated with the impacted application source code based on one or more remediation types. Base images of the container images are validated to be secure and without vulnerabilities. Lastly, a test run is triggered to determine that the remediation actions have not removed functionalities associated with the application source code.
-
公开(公告)号：US11954503B2
公开(公告)日：2024-04-09
申请号：US17742542
申请日：2022-05-12
Inventor： Rohit Prakash , Rohan Prakash , Yogesh Sosale Gundurao , Ambarish Poojari , Ragini Suresh , Pooja Jagadish
CPC classification number: G06F9/44505 , G06F9/3838
Abstract: The present invention provides for building a knowledgebase of dependencies between Configuration Items(CIs) associated with IT computing environment. In operation, the present invention provides for mapping a plurality of Configuration Items(CI) with respective one or more actions. The present invention further provides for tracking and capturing of one or more actions performed on one or more CIs in relation to resolving an activity related to a reported CI. Further, the present invention provides for identifying dependencies between one or more CIs and the reported CI based on the captured one or more actions. Furthermore, the present invention provides for building a knowledgebase of dependencies between CIs of the computing environment based on the identified dependencies between one or more CIs and the reported CI. Yet further, the present invention provides for generating visual representations of dependencies between CIs.
-
8.发明授权公开(公告)号：US11652636B2
公开(公告)日：2023-05-16
申请号：US17154057
申请日：2021-01-21
Inventor： Nishkarsh Tomar , Shubam Gupta , Pooja Gupta
CPC classification number: H04L9/3226 , G06Q50/28 , H04L9/0866 , H04L9/3236 , H04L63/20 , H04L9/50
Abstract: A system and a method for securing and authenticating serialized data associated with a product across a supply chain is disclosed. In operation, the present invention provides for generating a Hash ID by associating serialised data and serialisation ID of the product with a blockchain platform. Further, a set of authentication rules are generated for validating access to the serialised data based on the Hash ID. Furthermore, a plurality of identifier elements are generated for integration with one or more levels of product packaging. Yet further, access to the serialized data across the supply chain is authorized on determination of the authenticity of the supply chain participants based on the identifier elements using a decryption technique and the set of authentication rules. A result representative of authentication success or failure is stored in the blockchain platform.
-
公开(公告)号：US20220309247A1
公开(公告)日：2022-09-29
申请号：US17347773
申请日：2021-06-15
Inventor： Jithu R. Jacob , Siddhartha Das
IPC: G06F40/30 , G06N20/00 , G06N7/00 , G06F40/117 , G06F40/232
Abstract: The present invention provides for improving training dataset by identifying errors in training dataset and generating improvement recommendations. In operation, the present invention provides for identifying and correcting duplicate utterances in training dataset comprising utterances-intent pairs. Further, a plurality of Natural Language ML models are trained with the corrected training dataset to obtain diverse set of trained ML models. Each utterance of training dataset are fed as input to trained ML models, and a probability of error associated with each utterances-intent pairs of training dataset are evaluated based on analysis of respective intent predictions received from each of the trained ML models. Furthermore, spelling errors in the dataset are identified and data-imbalances in the training dataset are evaluated. Finally, a set of improvement recommendations for each utterances-intent pair is generated based on evaluated probability of errors, spelling errors, duplicate utterances and data imbalances.
-
公开(公告)号：US11449791B2
公开(公告)日：2022-09-20
申请号：US16244236
申请日：2019-01-10
Inventor： Arvind Naganathan Ramakrishnan
Abstract: A system for monitoring one or more lab processes and predicting their outcomes is provided. The system comprises a data acquisition module configured to acquire at least one of: ambient data and experimental data in real time from one or more lab resources and instruments. The system further comprises a process setup and monitoring module configured to receive the acquired data and facilitate setting-up and monitoring of one or more processes in real time utilizing the received data. The system furthermore comprises an experiment prediction module that is configured to obtain data from the data acquisition module and process setup and monitoring module. The experiment prediction module is further configured to employ one or more machine learning techniques on the obtained data to generate one or more patterns to predict outcomes of the one or more processes conducted in the lab in real time.
-
-
-
-
-
-
-
-
-
Search Results
218
records
(took 0.034 seconds)
