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公开(公告)号：US11636262B2
公开(公告)日：2023-04-25
申请号：US16741992
申请日：2020-01-14
Applicant: Wipro Limited
IPC: G06F40/242 , G06F40/56 , G16H70/00
Abstract: This disclosure relates to method and system for providing user-specific explanations for an output generated by an Artificial Neural Network (ANN) model. The method may include receiving a training dataset, and identifying one or more relevant features from the training dataset. The method may further include distributing the one or more relevant features into a plurality of groups. The plurality of groups may correspond to a plurality of levels of domain knowledge of users. The method may further include generating a plurality of vocabularies of explanations for an output generated by the ANN model for the training dataset corresponding to the plurality of groups, using the one or more relevant features.
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公开(公告)号：US11586841B2
公开(公告)日：2023-02-21
申请号：US17011084
申请日：2020-09-03
Applicant: Wipro Limited
Abstract: A method and system for generating user driven adaptive object visualizations using Generative Adversarial Network (GAN) models is disclosed. The method includes the steps of generating a first set of object vectors for an object based on at least one input received from a user. The first set of vectors corresponds to a first set of visualizations for the object The method further includes capturing at least one tacit reaction type of the user in response to user interaction with each of the first set of visualizations, computing a score for each portion of each of the first set of visualizations, identifying a plurality of portions from at least one of the first set of object visualizations, generating a second set of object vectors, and processing the second set of object vectors sequentially through a plurality of GAN models to generate a final object visualization of the object.
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公开(公告)号：US11562475B2
公开(公告)日：2023-01-24
申请号：US17169713
申请日：2021-02-08
Applicant: Wipro Limited
Abstract: Disclosed herein is method and fault detection system for detecting faults in one or more products. In an embodiment, method comprises generating plurality of wavelet coefficients corresponding to transformed images of each of the one or more products and determining a set of invariant features from the plurality of wavelet coefficients. Further, a dynamic set of invariant features is generated by grouping invariant features into a set of groups based on type of the one or more products. Subsequently, the dynamic set of invariant features is quantized based on a predetermined quantization threshold and a representative coefficient signature is associated for each group in the dynamic set of invariant features. Finally, faults in the one or more products are detected by comparing coefficient signatures associated with the one or more products with the representative coefficient signature of each group in the dynamic set of invariant features. In an embodiment, the present disclosure helps in accurate detection of faults in one or more products irrespective of type and characteristics of one or more products.
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4.发明授权公开(公告)号：US11537883B2
公开(公告)日：2022-12-27
申请号：US16732449
申请日：2020-01-02
Applicant: Wipro Limited
Inventor： Manjunath Ramachandra Iyer
Abstract: A technique is provided for minimizing impact of a faulty node associated with an artificial network. The technique includes detecting a faulty node associated with the artificial neural network. The faulty node causes a faulty path in the artificial neural network. Further, a plurality of alternate paths are identified to reroute the faulty path. Based on the identified plurality of alternate paths, the faulty path is rerouted by assigning one or more weights associated with the faulty node to one or more nodes associated with the plurality of alternate paths.
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公开(公告)号：US11462033B2
公开(公告)日：2022-10-04
申请号：US17109189
申请日：2020-12-02
Applicant: Wipro Limited
Inventor： Manjunath Ramachandra Iyer
IPC: G06V30/194 , G06K9/62 , G06V30/19
Abstract: The present disclosure relates to method and system for performing classification of real-time input sample using compressed classification model. Classification system receives classification model configured to classify training input sample. Relevant neurons are identified from neurons of the classification model. Classification error is identified for each class. Reward value is determined for the relevant neurons based on relevance score of each neuron and the classification error. Optimal image is generated for each class based on the reward value of the relevant neurons. The optimal image is provided to the classification model for generating classification error vector for each class. The classification error vector is used for identifying pure neurons from the relevant neurons. A compressed classification model comprising the pure neurons is generated. The generated compressed classification model is used for performing the classification of real-time input sample.
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Patent Agency Ranking
公开(公告)号：US11440193B2
公开(公告)日：2022-09-13
申请号：US16914553
申请日：2020-06-29
Applicant: Wipro Limited
Abstract: A method, device and system for managing collaboration amongst robots is disclosed. The method may include assigning a color tag from a set of predefined color tags to each of a plurality of robots, based on associated functional capabilities. The method may further include dynamically creating a plurality of groups for a plurality of tasks based on at least one attribute associated with each of the plurality of tasks and functional capabilities associated with the plurality of robots. The method may include electing a plurality of chief robots for the plurality of groups based on a first predefined logic. The method may include selecting a prime robot from the plurality of chief robots based on a second predefined logic and the selected prime robot may be configured to monitor activity of each of the plurality of groups and each robot in each of the plurality of groups.
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公开(公告)号：US11232132B2
公开(公告)日：2022-01-25
申请号：US16260212
申请日：2019-01-29
Applicant: WIPRO LIMITED
Inventor： Manjunath Ramachandra Iyer , Boby Chaitanya Villari , Rameshwar Pratap
IPC: G06F16/28 , G06F16/242 , G06F16/2457 , G06F16/22
Abstract: This disclosure relates to method, device, Wand system for clustering document objects based on information content. The method may include identifying a plurality of object chunks from at least one document based on semantic context of each of the plurality of object chunks, determining at least one document portion from the at least one document as a base document based on a plurality of parameters applied to the plurality of object chunks, determining a plurality of hierarchies within the base document, and categorizing the plurality of object chunks based on the plurality of hierarchies and information in each of the plurality of object chunks. It should be noted that each of the plurality of object chunks may include at least one object selected from the at least one document.
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公开(公告)号：US11206191B2
公开(公告)日：2021-12-21
申请号：US16988868
申请日：2020-08-10
Applicant: Wipro Limited
Abstract: Disclosed herein is a method and a data transfer system for providing seamless data transfer between communication devices. Properties of data to be transferred, status of network parameters and power associated with the communication devices are monitored in real time. Further, communication protocols available at the communication devices and a need to switch between the communication protocols are determined. Splitting of the data into subsets of data and sequencing the subsets of data are performed using a neural network, which is trained based on properties of the data, data storage space of the communication devices, speed of data transfer and a communication channel available for the data transfer. The optimum communication protocols are identified based on order of priority value and contention value. The subsets of data are transferred using identified optimum communication protocols, until a change in the monitored status is detected to switch the optimum communication protocols.
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公开(公告)号：US20210303328A1
公开(公告)日：2021-09-30
申请号：US16914571
申请日：2020-06-29
Applicant: Wipro Limited
Abstract: The disclosure relates to a method and system for allocating resources to containers. The method includes receiving a plurality of resource allocation requests from a plurality of containers, receiving a selection of a preferred container from each of the plurality of containers, determining a priority-sequence for the plurality of containers, allocating a first associated resource for an associated first time-period to each container of the plurality of containers, determining a current consumption of the first associated resource by each container of the plurality of containers during the associated first time-period, and allocating a second associated resource to each container of the plurality of containers based on the current consumption of the first associated resource by each container of the plurality of containers
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公开(公告)号：US11087183B2
公开(公告)日：2021-08-10
申请号：US16540255
申请日：2019-08-14
Applicant: Wipro Limited
Inventor： Manjunath Ramachandra Iyer , Sethuraman Ulaganathan
IPC: G06K9/00 , G06K9/62 , G06K9/46 , G06F40/205
Abstract: A method and system of multi-modality classification using augmented data is disclosed. The method includes generating a pattern for each of a plurality of augmented data associated with each of a plurality of object classes, based on at least one modality associated with each of the plurality of objects classes using a Long Term Short Memory (LSTM) classifier and a Layer-wise Relevance Propagation (LRP). The method further includes classifying an input image into a first object class of the plurality of object classes based on one or more objects within the input image using a Convolution Neural Network (CNN). The method further includes re-classifying the input image into one of the first object class or a second object class of the plurality of object classes when the accuracy of classification by the CNN into the first object class is below a matching threshold.
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