Abstract: Techniques are described for contextual annotation based on third party application programming interfaces. In an embodiment, metadata that represents a configuration of an organization-specific instance of a web application and comprising a plurality of objects pertaining to the configuration is received. The URL of a resource of the web-based application, i.e. the URL of a web page, is parsed to determine a particular object that is associated with the resource. The resource associated with the URL and the received metadata are used to determine text element(s) from the resource that correspond to one or more fields of the particular object. Annotation code is injected into the resource that is associated with the URL of the web-based application. A web page is displayed that includes a graphical display of the text element(s) annotated with selectable icons that correspond to the annotation code.

Abstract: Flare gas is recovered by varying a number of ejector legs that depends on a flare gas flowrate. The ejector legs include ejectors piped in parallel, each ejector has a flare gas inlet and a motive fluid inlet. Flare gas and motive fluid is provided to ejectors by selectively opening or closing valves. The number of ejector legs online is varied to accommodate the amount of flare gas. The controller is also programmed to direct signals to actuators attached to the valves to open or close the valves, or to change the capacity of the ejector legs so they can handle changing flowrates of the flare gas. Included is a flare gas storage system with vessels made with flexible material, when flare gas is evacuated from the vessels, pressure in the vessels is maintained by compressing the vessels with an external force.

Abstract: This disclosure relates generally to system and method for forecasting location of target in monocular first person view. Conventional systems for location forecasting utilizes complex neural networks and hence are computationally intensive and requires high compute power. The disclosed system includes an efficient and light-weight RNN based network model for predicting motion of targets in first person monocular videos. The network model includes an auto-encoder in the encoding phase and a regularizing layer in the end helps us get better accuracy. The disclosed method relies entirely just on detection bounding boxes for prediction as well as training of the network model and is still capable of transferring zero-shot on a different dataset.

Abstract: A thin film deposition method and a method of fabricating an electronic device using the same are disclosed. The thin film deposition method may include preparing a substrate structure having a pattern portion including a hole, adsorbing a reaction inhibitor to inside and outside of the hole in the substrate structure, wherein an adsorption density of the reaction inhibitor may be lower in the inside than the outside, and depositing a metal layer on the inside and outside the hole by an atomic layer deposition (ALD) process, wherein a deposition rate of the depositing may vary depending on regions by the reaction inhibitor, and wherein the reaction inhibitor may include a metal atom and a ligand for reaction inhibition bonded to the metal atom, and the metal atom may remain on the substrate structure in the depositing the metal layer.

Abstract: A mobile ticketing method and system for providing mobile ticketing services to users is provided. A user selects a mobile ticket and initiates payment by using a user device. In response to successful processing of the payment, the user device receives encrypted QR data from a server. The user device decrypts and format the encrypted QR data to display a QR code. The QR code is scanned at a gate terminal associated with an entry or exit gate. The gate terminal validates the QR code and broadcasts data pertaining to the QR code via a BLE network. The user device verifies the gate terminal on receiving the broadcasted data via the BLE network, and transmits a connection request to the gate terminal. The gate terminal further validates the connection request and decides whether to allow or disallow the user to pass through the entry or exit gate.

Abstract: A system for generating a 360-degree viewing experience may receive a plurality of images of an object from an image capture device, wherein each of the plurality of images corresponds to a different rotational orientation of the object relative to the image capture device. The system may detect, using a first machine learning model, the object in each of the plurality of images. The system may detect, using a second machine learning model, regions associated with identifiable object features in one or more images of the plurality of images. The system may assign feature metadata to the one or more images, the features metadata associated with one or more detected regions of the detected regions of the object in the one or more images. The system may publish, with an application programming interface, the plurality of images and the feature metadata for the 360-degree viewing experience.

Abstract: An approach to real-time multi-agent visual question answering in a decentralized environment. The approach can include initializing a plurality of agents based on data associated with an image and a question about the image. The approach can include identifying a first portion of the plurality of agents to construct a grid of agents based on similarity between the first portion of agents. The approach can include determining a second portion of agents of the first portion of agents with edges between agents allowing sharing of agent concepts and agent parameters. The approach can include generate training trajectories of the grid of agents based on executing a collaborative rollout. Additionally, the approach can include optimizing agent policies of the grid of agents.

Abstract: A system includes one or more memory devices storing instructions, and one or more processors configured to execute the instructions to perform the steps of a method to automatically crop images. The system may convert a raw image into a grayscale image before applying an edge detection operator to the grayscale image to create an edge image. The system may then create a binary image based on the edge image, identify one or more contours in the binary image, and determine one or more contour bounding image areas surrounding the contour(s). Upon identifying contour bounding image area(s) having user-specified dimensional criteria, the system may determine a minimum bounded image area including those area(s), pad the minimum bounded image area, and crop the raw image based on the padded bounded area.

Abstract: One embodiment provides a method, including: receiving, at an information handling device, drawing input; identifying, using a processor, at least one object in the drawing input; determining, based on the identifying, whether a factual anomaly exists in the drawing input with respect to the at least one object; and notifying, responsive to determining that a factual anomaly exists, a user of the factual anomaly.

Abstract: This disclosure relates generally to system and method for forecasting location of target in monocular first person view. Conventional systems for location forecasting utilizes complex neural networks and hence are computationally intensive and requires high compute power. The disclosed system includes an efficient and light-weight RNN based network model for predicting motion of targets in first person monocular videos. The network model includes an auto-encoder in the encoding phase and a regularizing layer in the end helps us get better accuracy. The disclosed method relies entirely just on detection bounding boxes for prediction as well as training of the network model and is still capable of transferring zero-shot on a different dataset.

Abstract: The invention provides porous tea granules including leaf tea particles and binder, wherein at least 50% by weight of the leaf tea particles have a particle size of 100 ?m to 300 ?m; the binder is a tea-based binder including tea solids; the tea granules including binder in an amount of 1 to 40% by dry weight; and the porous tea granules have a D[4,3] of more than 350 ?m.

Abstract: One embodiment provides a method, including: receiving, from a user, input for manipulating an image, wherein the input (i) identifies a particular image element and (ii) identifies an operation a user wants to perform with respect to the image element; identifying a context of the image, wherein the identifying the context comprises identifying (i) existing image elements already included within the image and (ii) attributes of the existing image elements; determining, based upon the context, attributes for the image element utilizing a knowledge store comprising information regarding attributes for image elements in view of (i) contexts and (ii) operations; and thereafter, performing the operation utilizing the image element having the attributes.

Abstract: One embodiment provides a method, including: receiving, from a user, input for manipulating an image, wherein the input (i) identifies a particular image element and (ii) identifies an operation a user wants to perform with respect to the image element; identifying a context of the image, wherein the identifying the context comprises identifying (i) existing image elements already included within the image and (ii) attributes of the existing image elements; determining, based upon the context, attributes for the image element utilizing a knowledge store comprising information regarding attributes for image elements in view of (i) contexts and (ii) operations; and thereafter, performing the operation utilizing the image element having the attributes.

Abstract: One embodiment provides a method, including: receiving, at an information handling device, drawing input; identifying, using a processor, at least one object in the drawing input; determining, based on the identifying, whether a factual anomaly exists in the drawing input with respect to the at least one object; and notifying, responsive to determining that a factual anomaly exists, a user of the factual anomaly.

Abstract: A mobile ticketing method and system for providing mobile ticketing services to users is provided. A user selects a mobile ticket and initiates payment by using a user device. In response to successful processing of the payment, the user device receives encrypted QR data from a server. The user device decrypts and format the encrypted QR data to display a QR code. The QR code is scanned at a gate terminal associated with an entry or exit gate. The gate terminal validates the QR code and broadcasts data pertaining to the QR code via a BLE network. The user device verifies the gate terminal on receiving the broadcasted data via the BLE network, and transmits a connection request to the gate terminal. The gate terminal further validates the connection request and decides whether to allow or disallow the user to pass through the entry or exit gate.

Abstract: A system for generating a 360-degree viewing experience may receive a plurality of images of an object from an image capture device, wherein each of the plurality of images corresponds to a different rotational orientation of the object relative to the image capture device. The system may detect, using a first machine learning model, the object in each of the plurality of images. The system may detect, using a second machine learning model, regions associated with identifiable object features in one or more images of the plurality of images. The system may assign feature metadata to the one or more images, the features metadata associated with one or more detected regions of the detected regions of the object in the one or more images. The system may publish, with an application programming interface, the plurality of images and the feature metadata for the 360-degree viewing experience.

Abstract: A system includes one or more memory devices storing instructions, and one or more processors configured to execute the instructions to perform the steps of a method to automatically crop images. The system may convert a raw image into a grayscale image before applying an edge detection operator to the grayscale image to create an edge image. The system may then create a binary image based on the edge image, identify one or more contours in the binary image, and determine one or more contour bounding image areas surrounding the contour(s). Upon identifying contour bounding image area(s) having user-specified dimensional criteria, the system may determine a minimum bounded image area including those area(s), pad the minimum bounded image area, and crop the raw image based on the padded bounded area.

Abstract: The invention provides porous tea granules comprising leaf tea particles and binder, wherein at least 50% by weight of the leaf tea particles have a particle size of 100 ?m to 300 ?m; the binder is a tea-based binder comprising tea solids; the tea granules comprise binder in an amount of 1 to 40% by dry weight; and the porous tea granules have a D[4,3] of more than 350 ?m.

Abstract: Disclosed is a process for manufacturing a concentrate for making a premix for a frozen confection, wherein the concentrate is in the form of granules. The process comprises the steps of: (a) forming an oil-in-water emulsion wherein the fat droplets in the emulsion have an average particle size (D3,2) of less than 1 micron, the emulsion comprising fat in an amount of at least 65% by weight of the emulsion; (b) providing powder comprising saccharides, non-saccharide sweetener and/or protein; (c) combining, in a granulation step, the powder and the emulsion to form a mixture with a moisture content of less than 10% by weight of the mixture, wherein the emulsion binds the powder into granules; and (d) recovering the granules from step (c).

Abstract: Disclosed is a process for manufacturing a premix for a frozen confection, the process comprising the steps of: (i) forming an oil-in-water emulsion comprising fat in an amount of at least 45% by weight of the emulsion; (ii) providing an adjunct composition comprising saccharides, non-saccharide sweetener, protein or a combination thereof; (iii) providing an aqueous liquid; and (iv) combining the emulsion, adjunct composition and aqueous liquid.