Abstract:
A method, non-transitory computer readable medium, and anomaly detection computing apparatus that detects one or more of a plurality of symptoms associated with a device when the device is operating in a fault mode. One or more of a plurality of components of the device that are potentially faulty are identified based on the detected symptoms. One or more tests are performed on each of the one or more of the components to confirm that at least a subset of the one or more of the components is faulty. An optimal remedy pattern is determined for the subset of the one or more of the components based at least in part on historical data and cost data obtained from a database, and the optimal remedy pattern is output.
Abstract:
Embodiments of the present invention relate to an inventory management method and system. The present invention addresses the foregoing need of an inventory management system through which all size and shape of components can tracked before and after an assembly process in a manufacturing facility. The invention address the challenges faced by store keeping clerks in locating the position of excess components returned from assembly floor, which are taken in excess but not being utilized during assembly process. Since basic spare parts which are smaller in size but taken in large quantity from store room due to their frequent usage, excess components needs to be kept back in store keeping units for effective inventory management.
Abstract:
A method and system provisions a plurality of resources of a data center. A violation risk factor for a set of low priority requests can be computed. A utilization factor of a set of activated resources of the data center shall be evaluated. According to a predefined rule base, one or more of the plurality of resources, shall be provisioned for a received high priority request, whereby the predefined rule base defines performing one or more of; a) preempting a set of virtual machines utilizing a subset of the set of activated resources, whereby the set of virtual machines is associated with the set of low priority requests; b) activating a new set of resources; and c) consolidating a plurality of virtual machines, based on the computed violation risk factor and the evaluated utilization factor.
Abstract:
A method, non-transitory computer readable medium, and anomaly detection computing apparatus that detects one or more of a plurality of symptoms associated with a device when the device is operating in a fault mode. One or more of a plurality of components of the device that are potentially faulty are identified based on the detected symptoms. One or more tests are performed on each of the one or more of the components to confirm that at least a subset of the one or more of the components is faulty. An optimal remedy pattern is determined for the subset of the one or more of the components based at least in part on historical data and cost data obtained from a database, and the optimal remedy pattern is output.
Abstract:
Systems and methods for multi-dimensional object detection are described. Embodiments disclose receiving image frames, extracting image components in the image frame, identifying line segments in the extracted components, grouping the line segments into groups, based at least in part on one or more similarities between the slope associated with a line segment and the spatial proximity between the line segments, and merging each of the one or more identified line segments in a selected group into a single line segment. Embodiments additionally disclose detecting the position of one or more objects in the image frame by identifying objects in the image frame, producing a second version of the image frame, applying at least one image classifier to the image frame and the second version of the image frame, and identifying coordinates associated with at least one target object. Some embodiments additionally couple lane and object detection with alert generation.
Abstract:
A method and a system for registering multi-modal brain images includes registering two or more full volumes of brain images based on a projection based reference image. The registration is based on sharing of mass in a predetermined direction such as axial, sagittal and coronal direction. After the registration of two or more brain images, a two or more partial volumes in a region of interest is registered through a modified mutual information. The modified mutual information may be a factor of an overlap rate and a weight assigned to it.
Abstract:
A method, non-transitory computer readable medium, and device for clustering a network includes obtaining information regarding a network including relationship information for a plurality of nodes of the network. A weight value for each of a plurality of directly connected pairs of the plurality of nodes is determined, wherein the directly connected pair are identified based on the relationship information. At least one topology score is generated for each of the plurality of nodes. A plurality of clusters is generated using the topology scores and one of the plurality of nodes as a seed node for each of the clusters. At least the seed node used to generate at least a subset of the plurality of clusters is output.
Abstract:
Systems and methods for multi-dimensional object detection are described. Embodiments disclose receiving image frames, extracting image components in the image frame, identifying line segments in the extracted components, grouping the line segments into groups, based at least in part on one or more similarities between the slope associated with a line segment and the spatial proximity between the line segments, and merging each of the one or more identified line segments in a selected group into a single line segment. Embodiments additionally disclose detecting the position of one or more objects in the image frame by identifying objects in the image frame, producing a second version of the image frame, applying at least one image classifier to the image frame and the second version of the image frame, and identifying coordinates associated with at least one target object. Some embodiments additionally couple lane and object detection with alert generation.
Abstract:
A method and system masks sensitive fields on a cheque image based one or more access privileges assigned to a user. The method involves receiving a cheque image at a cheque masking engine. A cheque template from one or more cheque templates is selected based on metadata associated with the cheque image. One or more zones of sensitive information associated with the cheque image are identified based on the one or more access privileges assigned to the user and a comparison with the selected cheque template. One or more characters are extracted from the one or more zones of sensitive information. The extracted one or more characters are aliased based on an aliasing rule. Another cheque image is generated by overlaying the one or more zones of sensitive information with the aliased one or more characters.
Abstract:
Computer-implemented systems, methods, and computer-readable media electronic for detecting symptoms and determining an optimal remedy pattern for one or more faulty components of a device is disclosed. First the symptoms of the faulty device are detected and associated faulty components of the device are identified. Different tests are performed to confirm the status of the faulty components. Based on the historical data, cost information and remedy cost function an optimal remedy pattern is determined.