Abstract: The present invention discloses a method and a system for assisting user with product handling in a retail shopping. The method comprising identifying one or more products from a list of products that user intends to purchase, neighbouring products and orientations of the one or more products and the neighbouring products from a plurality of image frames and rack information, comparing the identified orientations with historic orientations of products and neighbouring products associated with the rack information, identifying at least one product from the one or more products and the neighbouring products that is improperly oriented based on comparison, determining product safety handling instructions of the identified at least one product and assisting the user in real-time with handling of the identified at least one product based on the product safety handling instructions.

Abstract: A method and a system of preserving perishable products during multi-modal transportation is disclosed. In an embodiment, the method may include configuring environmental parameters for the perishable products during transportation in a vehicle and a first set of control settings for control devices in the vehicle corresponding to the environmental parameters. The first set of control settings that correspond to the environmental parameters is verified using Internet of Things (IoT) sensors in the vehicle. A second set of control settings of the control devices is identified for a deviation in the first set of control settings, and during the multi-modal transportation. The second set of control settings that correspond to the environmental parameters is dynamically enforced thereby preserving the perishable products.

Abstract: A method and system for summarizing content based on user preferences is disclosed. The method includes identifying a set of relevant objects from a set of objects based on a relevancy score corresponding to each of the set of objects extracted from a plurality of sentences. The method further includes generating a link graph between each of the plurality of sentences. The method further includes assigning a weight to each of the plurality of sentences based on a retention probability. The method further includes generating a summarized content from the plurality of sentences based on the user preferences, the link graph, and the weight associated with each of the plurality of sentences.

Abstract: The disclosure relates to a method and system for allocating resources to containers.

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.

Abstract: The present invention relates to a method of purchasing one or more goods from a physical store through a virtual environment. The method includes obtaining one or more physical store details and one or more user details from a user device for authenticating a physical user. Further, a unique avatar indicative of a virtual user corresponding to the physical user is generated. Furthermore, the virtual environment comprising one or more virtual stores is generated from a real-time video. The virtual environment is provided to the user device. Subsequently, an optimal path for traversing the virtual user in the virtual environment is determined in real-time based on one or more shopping details and a time period associated with the one or more shopping details. Finally, the virtual user is navigated in the one or more virtual stores through the optimal path for purchasing the one or more goods.

Abstract: The disclosure relates to a system and method of configuring and validating multi-vendor and multi-region Internet-of-Things (IoT) devices using reinforcement learning. In some embodiments, the method includes generating a matching table for each of a plurality of IoT sensors based on a plurality of sensor attributes extracted from a product data associated with an IoT sensor; acquiring an identification information and operational information associated with the IoT sensor and a set of neighboring IoT sensors for each of the plurality of IoT sensors; identifying an appropriate set of IoT sensors from the plurality of IoT sensors, based on a user requirement, the matching table, the identification information and the operational information, using a Reinforcement Learning (RL) model; and dynamically configuring each of the appropriate set of IoT sensors based on a vendor type.

Abstract: The disclosure relates to method and system for performing optimized image search. The method includes receiving an input image and user requirements with respect to an image search, identifying a sub-section from various sub-sections of the input image based on semantic parameters corresponding to each sub-section and the user requirements, and determining an optimal resolution of the sub-section based on a pixel density of various image formats derived for the sub-section. The method further includes identifying an optimal set of layers from a plurality of layers of an Artificial Neural Network (ANN) based image search model for performing the image search based on the semantic parameters for the sub-section, the optimal resolution of the sub-section, and historical data, and performing the image search to identify a set of output images similar to the sub-section based on a modified ANN based image search model comprising the optimal set of layers.

Abstract: This disclosure relates to method and system for building ensemble models using competitive reinforcement learning (CRL). The method may include creating a plurality of clusters, each including a set of predictive models forming the ensemble model. For each of the plurality of clusters, the method may further include initializing each of the set of predictive models with random values for a set of first parameters to obtain a first accuracy score, categorizing each of the set of predictive models into a first associated category based on a first accuracy score, calculating a first reward for each of the set of predictive models based on the first associated category, and determining a set of second parameters for each of the set of predictive models using CRL to obtain a second accuracy score.

Abstract: The disclosure relates to method and system for training an artificial neural network (ANN) based image classifier using class-specific relevant features. The method includes receiving the ANN based image classifier, training image dataset, and various features of the training image dataset. The method further includes determining a relative relevance value of each of the features corresponding to each of the classes based on the ANN based image classifier, segregating co-occurring features from the features for each of the classes based on the training image dataset and the ANN based image classifier, identifying an imbalance in the class-specific relevant features for each of the classes based on the relative relevance value of each of the features corresponding to each of the classes, and updating the ANN based image classifier based on the imbalance in the class-specific relevant features and the co-occurring features for each of the classes.

Abstract: The present invention discloses a method and a system for assisting user with product handling in a retail shopping. The method comprising identifying one or more products from a list of products that user intends to purchase, neighbouring products and orientations of the one or more products and the neighbouring products from a plurality of image frames and rack information, comparing the identified orientations with historic orientations of products and neighbouring products associated with the rack information, identifying at least one product from the one or more products and the neighbouring products that is improperly oriented based on comparison, determining product safety handling instructions of the identified at least one product and assisting the user in real-time with handling of the identified at least one product based on the product safety handling instructions.

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.

Abstract: A method and system of identifying misclassification in a neural network is disclosed. The method includes generating for an input image, an image heatmap associated with each of a plurality of layers of a neural network. The method further includes determining for the input image, an activation value at each of the plurality of layers based on the associated image heatmap. The method includes identifying for the input image, a first pattern of triggered neurons of the plurality of layers based on the activation value generated for the plurality of layers. The method further includes comparing for each of the plurality of classes, a second pattern of triggered neurons with the first pattern of triggered neurons identified at the at least one of the plurality of layers. The method includes identifying, misclassification of the input image in the neural network based on a result of the comparison.

Abstract: A gas turbine engine turbine blade comprising an airfoil section, a platform section, an under platform section, and a dovetail section, an exterior surface of the dovetail section comprising a shank exterior surface and a serrated exterior surface. The blade further comprises a silicon-modified diffusion aluminide layer a surface of a turbine blade section selected from the group consisting of an exterior surface of the under platform section, the exterior surface of the dovetail section, and combinations thereof, the silicon modified diffusion aluminide layer having a concentration of silicon at a surface of the silicon-modified diffusion aluminide layer in the range of about 1 weight percent to about 10 weight percent and a concentration of aluminum at the surface of the silicon modified diffusion aluminide layer in the range of about 5 weight percent to about 25 weight percent.

Abstract: Coating system for reducing CMAS infiltration of substrates includes at least an inner ceramic layer and an outer alumina-containing layer. The outer layer includes up to 50 percent by weight titania. Additional ceramic layers and alumina-containing layers may be provided. The coating may be used for gas turbine engine components. Deposition techniques for the coating layers may depend on the end use of the component. Coated articles include a substrate, an optional bond coat on the substrate and a coating over the bond coat or on at least a portion of the substrate in the absence of a bond coat. The inner ceramic layer(s) exhibit a microstructure indicative of a deposition technique selected from thermal spray, physical vapor deposition, and suspension plasma spray, whereas the outer alumina-containing layer exhibits a microstructure indicative of suspension plasma spray, solution plasma spray, and a high velocity oxygen fuel spray.

Abstract: Methods for providing a coating system for reducing CMAS infiltration of substrates exposed to hot and harsh climates. Exemplary methods include optionally disposing a bond coat on a substrate, disposing an inner ceramic layer over the bond coat, or on the substrate in the absence of a bond coat, and disposing an outer alumina-containing layer including up to 50 percent by weight titania, using a high velocity oxygen fuel (HVOF) technique. Additional ceramic layers and alumina-containing layers may be provided to achieve a CMAS resistant coating. One or more suitable heat treatments may be utilized to phase-stabilize the alumina. The coating may be used for gas turbine engine components. Deposition techniques for the ceramic layer(s) may depend on the end use of the component.

Abstract: A method for producing a thermal barrier coating/environmental barrier coating system on a silicon containing material substrate includes applying an environmental barrier coating (EBC) over the silicon containing material substrate; and applying a thermal barrier coating (TBC) over the EBC. The thermal barrier coating includes a compound having a primary constituent portion and a stabilizer portion stabilizing said primary constituent. The primary constituent portion of the thermal barrier coating includes hafnia present in an amount of at least about 5 mol % of the primary constituent and the stabilizer portion of said thermal barrier coating includes at least one metal oxide comprised of cations with a +2 or +3 valence present in the amount of about 10 to about 40 mol % of the thermal barrier coating.

Abstract: According to an embodiment of the invention, an article of manufacture for use in a gas turbine engine is disclosed. The article comprises a part having a surface covered with a ceramic thermal barrier coating. The thermal barrier coating has an outer surface covered with a sacrificial phosphate coating, wherein the sacrificial phosphate coating reacts with contaminant compositions to prevent contaminant infiltration into the thermal barrier coating.

Abstract: A gas turbine engine turbine blade comprising an airfoil section, a platform section, an under platform section, and a dovetail section, an exterior surface of the dovetail section comprising a shank exterior surface and a serrated exterior surface. The blade further comprises a silicon-modified diffusion aluminide layer a surface of a turbine blade section selected from the group consisting of an exterior surface of the under platform section, the exterior surface of the dovetail section, and combinations thereof, the silicon modified diffusion aluminide layer having a concentration of silicon at a surface of the silicon-modified diffusion aluminide layer in the range of about 1 weight percent to about 10 weight percent and a concentration of aluminum at the surface of the silicon modified diffusion aluminide layer in the range of about 5 weight percent to about 25 weight percent.

Abstract: According to an embodiment of the invention, an article of manufacture for use in a gas turbine engine is disclosed. The article comprises a part having a surface covered with a ceramic thermal barrier coating. The thermal barrier coating has an outer surface covered with a sacrificial phosphate coating, wherein the sacrificial phosphate coating reacts with contaminant compositions to prevent contaminant infiltration into the thermal barrier coating.