Abstract: An electronic camera comprising an image sensor configured to capture an electronic image and a shutter mechanism. The electronic camera further comprises a controller configured to control the shutter mechanism and the image sensor. The controller comprising a processor and a memory having computer-readable code embodied therein which, when executed by the processor, causes the controller to: open the shutter mechanism, allow light to reach the image sensor for an exposure, automatically cause the image sensor to capture a first digital image of a scene using a first capture setting and automatically cause the image sensor to capture a second digital image of the scene using a second capture setting. The first capture setting includes a first value and the second capture setting includes a second value respectively of at least one of an aperture parameter, a shutter speed parameter, an ISO sensor gain parameter.

Abstract: Embodiments herein provide a method for tracking a ROI in image frames using an electronic device (100). The method includes receiving the image frames from one or more cameras (150) of the electronic device (100). The method includes identifying the ROI in the image frames to be tracked. The method includes determining a distance of the ROI from each edge of the image frames. The method includes recognizing that the ROI is moving away from a position in the image frames based on the distance of the ROI from each edge of the image frames. The method includes automatically operating an actuator (151) of the one or more cameras (150) to vary the distance of the ROI from each edge of the image frames to maintain the position of the ROI in the image frames.

Abstract: The present invention relates to a lead free glossy finish hybrid radiation shielding composite panel comprising: a) 40-70% of industrial waste red mud and 30-60% of epoxy/polyester resin with or without glass fibre, wherein the composite panel has density in the range of 1.4-2.2 g/cc; water absorption in the range of 0.20-0.30%; tensile strength in the range of 12-120 MPa; tensile modulus in the range of 1.5-7.5 GPa; and half value layer in the range of 0.36-0.47 cm and 0.48-0.52 cm for X-ray beam energies of 60 and 100 kVp, respectively. The present invention also describes a low temperature process for manufacturing the composite panels. Moreover, the developed composite panel is a unique material and have multifunctional applications in wider spectrum as high energy electromagnetic radiation shielding doors, panels, partition panels and as roofing sheets.

Abstract: Provided are methods, apparatus, and system for policy based wide area network. A network of network appliances is configured with a policy configuration. Each network appliance is configured to validate each wide area network packet against the policy configuration. The validation can include verifying that the packets meet the SD-WAN network segment requirements and security rules including verifying that the source and destination address of the packet meet the firewall zone requirements. Each wide area network packet contains a policy header that is checked by the sending and receiving network appliance against the policy configuration.

Abstract: Methods of preventing or treating elevated pulmonary vascular pressure or exercise-induced pulmonary hemorrhage in mammals are provided, the methods comprise administering compositions comprising type V phosphodiesterase inhibitors and an organic base (e.g., meglumine) to the mammal. Compositions, kits and methods of making type V phosphodiesterase inhibitor are also provided. In one embodiment, the composition comprises E-4021, which is sodium 1-[6-chloro-4-(3,4-methylenedioxybenzyl)-aminoquinazolin-2-yl]piperidine-4-carboxylate sesquihydrate and meglumine.

Abstract: Memory usage can be optimized during an imaging process to enable larger-sized deployments and client servicing. A variety of components can be employed on a computing device to present a hybrid virtual volume to the operating system during an imaging process. The hybrid virtual volume will appear to the operating system as having a large size while consuming minimal amounts of memory and disk. As a result, the risk of the imaging process failing for lack of resources will be minimized even when the image is large.

Abstract: Systems and methods to select an object instance from a database storage to archive to an external storage based on an archiving configuration and attribute values of the object instance, transmit the selection to an application associated with the object instance, determine, based on a response received from the application, to archive the object instance, mark the object instance as ready for archiving, identify the object instance as ready for archiving, convert the object instance to an object notation format, transmit the converted object instance to a cloud application for storage in an external storage, in response to a determination that the storage in the external storage is successful, create an index object in the database storage including a subset of fields of the object instance and a link to the converted object instance stored in the external storage, and mark the object instance in the database storage as archived.

Abstract: A device may receive source code from a source data structure, and may receive information associated with a target data structure. The device may analyze the source code to extract statements, and may utilize natural language processing on the statements to identify functions and keywords associated with the source data structure. The device may train a machine learning model with the functions and the keywords to generate a trained machine learning model, and may process the information associated with the target data structure, with the trained machine learning model, to transform a source query to a target query compatible with the target data structure. The device may process the target query, with a neural network model, to generate an optimized target query, and may cause data from the source data structure to be migrated to the target data structure based on the optimized target query.

Abstract: A system for retrieving information from an instructional document, includes a processor configured to: receive a query from a user; compare the query with one or more text sections in the instructional document; obtain, from the one or more text sections, top x text sections relevant to the query using a pre-trained encoder; compare the query with one or more images in the instructional document; obtain, from the images, top y images relevant to the query; generate top y image-text sections based on the top y images; obtain top k sections from the top x text sections and the top y image-text sections; obtain one or more most relevant sections from the top k sections using a domain-specific pre-trained encoder and a sequential classification model; and generate an answer based on the one or more most relevant sections and device context information using the domain-specific pre-trained encoder.

Abstract: According to some embodiments, a system and method comprising a plurality of automation tools; and a shared automation module, coupled to the plurality of automation tools including: a computer processor; a computer memory, coupled to the computer processor, storing instructions that, when executed by the computer processor cause the shared automation module to: receive a selection of a first automation tool of the plurality of automation tools; receive a selection of a second automation tool of the plurality of automation tools; execute the first automation tool to generate a first automation tool output; and execute the second automation tool using the stored first automation tool output to generate a second automation tool output. Numerous other aspects are provided.

Abstract: Aspects of the present disclosure provide techniques for application navigation recommendations using machine learning. Embodiments include determining one or more pages accessed by a user within an application. Embodiments include providing one or more inputs to a machine learning model based on the one or more pages accessed by the user. Embodiments include receiving, from the machine learning model based on the one or more inputs, one or more predicted pages. Embodiments include displaying, in a user interface, one or more elements recommending the one or more predicted pages to the user. Embodiments include receiving a selection of a given element of the one or more elements. Embodiments include navigating within the user interface, based on the selection, to a given page of the one or more predicted pages that corresponds to the given element.

Abstract: A User Interface (UI) interface object detection system employs an initial dataset comprising a set of images, that may include synthesized images, to train a Machine Learning (ML) engine to generate an initial trained model. A data point generator is employed to generate an updated synthesized image set which is used to further train the ML engine. The data point generator may employ images generated by an application program as a reference by which to generate the updated synthesized image set. The images generated by the application program may be tagged in advance. Alternatively, or in addition, the images generated by the application program may be captured dynamically by a user using the application program.

Abstract: One illustrative method disclosed herein includes forming at least one first layer of insulating material above an upper surface of a top electrode of a memory cell, forming a patterned etch stop layer above the at least one first layer of insulating material, wherein the patterned etch stop layer has an opening that is positioned vertically above at least a portion of the upper surface of the top electrode and forming at least one second layer of insulating material above an upper surface of the etch stop layer. The method also includes forming a conductive contact opening that extends through the etch stop layer to expose at least a portion of the upper surface of the top electrode and forming a conductive contact structure in the conductive contact opening, wherein the conductive contact structure is conductively coupled to the upper surface of the top electrode.

Abstract: An adjustable length strut includes two joints, a threaded rod extending between the joints, and a tube adapted to receive the threaded rod. An actuation mechanism with gear teeth extending radially outward of the strut axis is rotatably fixed to the threaded rod. A protrusion may be coupled to an end of the threaded rod by a rotatable collar, with the protrusion extending through a slot in the tube to mark the length of the strut. A modular attachment member may be adapted to be couple to the first joint and include a worm gear adapted to engage gear teeth of the actuation mechanism. The modular attachment member may include a radiofrequency identity tag mechanism adapted to be read by a tag reader of a tool, the tool adapted to couple to the attachment member to rotate the worm gear to increase or decrease the effective length of the strut.

Abstract: Image Retrieval is an application of computer vision that deals with searching images in large databases. Conventional methods utilize the entire image to perform the image retrieval task rather than considering specific features. The embodiments herein provide a method and system for feature based image retrieval. Initially, the system receives an input image and a query label. Further, a feature specific encoder is selected from a plurality of feature specific encoders based on the query label. A first set of feature vectors are computed from the input image using the selected feature specific encoder. Further, a Locality Sensitive Hashing (LSH) value is computed from the first set of feature vectors. Finally, a plurality of matching images is obtained from a plurality database images based on a comparison between the computed feature specific LSH value and a plurality of feature specific LSH values stored in a feature specific LSH database.

Abstract: Computer vision systems and methods for localizing image forgery are provided. The system generates a constrained convolution via a plurality of learned rich filters. The system trains a convolutional neural network with the constrained convolution and a plurality of images of a dataset to learn a low level representation of each image among the plurality of images. The low level representation is indicative of a statistical signature of at least one source camera model of each image. The system can determine a splicing manipulation localization by the trained convolutional neural network.

Abstract: Circuitry comprises processing circuitry to execute program instructions to access a secondary device in an execution mode selected from at least a first execution mode and a second execution mode; and control circuitry to indicate a current execution mode by which the processing circuitry currently accesses the secondary device in response to an access request initiated by the execution by the processing circuitry of program instructions, in which the control circuitry is configured to require the access request to indicate a given execution mode as the current execution mode to be initiated by program instructions executed in the given execution mode.

Abstract: A method of extruding filament comprises the steps of cutting a bulk source material into pieces having size S1, performing a first extrusion pass comprising the steps of melting the pieces in an extruding device at a temperature T1 and extruding a first filament at an extrusion speed V1, and performing at least one additional extrusion pass k comprising the steps of cutting the first filament into pieces having size Sk, melting the pieces in an extruding device at temperature Tk, and extruding a final filament at an extrusion speed Vk. A system for extruding filament is also described.

Abstract: Technologies are disclosed for enforcing access control to resources of an indexing system using resource paths. Before performing a search for resources, access control is performed. By determining the resource paths that the user is authorized and/or unauthorized to access before performing the search, the search engine returns resources that the user is authorized to access instead of returning resources that the user may not be authorized to access. Before submitting a search query to a search engine an augmented search query is generated. The augmented search query includes one or more filter rules (which may be referred to herein as “filters”) that specify the resource paths to include or exclude from the search. The augmented search query limits the search to resources that the user is authorized to access.

Abstract: The present subject matter relates to techniques of assigning a mobility factor to the user based on the spatial movement data. In one example, the technique may include four phases for assigning the mobility factors to the users. In a first phase, spatial movement data from a plurality of user devices assigned to a plurality of users may be received. In a second phase, spatial movement behavior for a set of user devices may be assessed using the received spatial movement data of the members of the set using machine learning techniques. In a third phase, user devices may be selected based on the assessed spatial movement behavior using machine learning techniques for reconfiguration. Finally, at a four phase, the selected user devices may be reconfigured.