Abstract: A method of identifying call drop areas includes dividing a network cluster into a plurality of grids, determining a call drop percentage of at least one first grid of the plurality of grids, determining whether the call drop percentage of the at least one first grid is greater than a predetermined call drop percentage threshold, and generating at least one call drop polygon including at least a portion of the at least one first grid based on determining that the call drop percentage of the at least one first grid is greater than the predetermined call drop percentage threshold.

Abstract: A method may include determining an area of a service gap and an area of a candidate site; multiplying the candidate site area by a predetermined percentage to determine a threshold; when the service gap area is greater than or equal to the threshold, dividing the service gap area by the candidate site area to determine a number of recommended sites; determining a centroid and a perimeter of the service gap; determining a perimeter section distance by dividing the perimeter of the service gap by the number of recommended sites; generating a new site shape based on the service gap centroid, a point on the service gap boundary, and the perimeter section distance; and determining a recommended site location based on a centroid of the new site shape.

Abstract: A system and method for performing visual localization is disclosed. In aspects, the system implements methods to generate a global point cloud, the global point cloud representing a plurality of point clouds. The global point cloud can be mapped to a prior map information to locate a position of an autonomous vehicle, the prior map information representing pre-built geographic maps. The position of the autonomous vehicle can be estimated based on applying sensor information obtained from sensors and software of the autonomous vehicle to the mapped global point cloud.

Abstract: Disclosed concepts relate to presenting interconnected animations in an object display interface that indicate dynamic events for related objects. A platform presents an interface that includes tiles for objects that belong to object sets (e.g., a non-fungible token (NFT) collection, a set of numbered items, a limited sneaker line). Each tile includes information individually specific to a corresponding object. A platform monitors for event data that results in a change to an aggregate parameter (e.g., a floor price, an event rate) for a given object set or that specifies one or more individual events for objects belonging to the given object set. Based on detecting the event data, the platform dynamically presents animations on certain tiles corresponding to objects of the given object set, and the animations indicate the change to the aggregate parameter or indicate the individual events. Contextual and multi-level information is thus conveyed without significant visual clutter.

Abstract: Disclosed herein is a social media platform profile implementation that makes use of web3 objects. Social media profiles generate wishlists of digital objects. Those wishlists enable newsfeed population, social discovery and playing of platform games. The wishlists are verified by smart contract elements that limit players to the game and the conduct of those players in the wishlist game.

Abstract: A method, apparatus, and computer-readable recording medium for identifying new growth areas in a telecommunications network. The method includes obtaining first data from a first data source, obtaining second data from a second data source, combining the first data and the second data into third data, based on the third data, creating a grid including tiles having a first area and a first characteristic, and generating a new growth area polygon based on a number of the tiles having the first area and the first characteristic.

Abstract: A method of performing interested event based image capture by an electronic device includes receiving a plurality of image frames, storing the plurality of image frames in a high-resolution buffer, converting the plurality of image frames into a plurality of low-resolution image frames, detecting an interested event in at least one low-resolution image frame of the plurality of low-resolution image frames, determining a visual score of the interested event in the at least one detected low-resolution image frame, and obtaining at least one image frame corresponding to the at least one detected low-resolution image frame from the high-resolution buffer, based on the visual score.

Abstract: The present invention relates to a method for producing a cocoa and/or malt beverage product comprising: a) suspending cereal in an aqueous liquid to produce a mash; b) suspending adjunct in an aqueous liquid to produce a slurry; c) hydrolysing the slurries of steps a) with hydrolytic enzymes and b) with alpha-amylase; d) optionally adding transglucosidase to the mash and allowing the transglucosidase to react; c) inactivating the hydrolytic enzymes for example alpha amylase and the optional transglucosidase by increasing the temperature of the mash to a temperature above 90° C. and below 98° C. preferably above 92° C. and below 97° C. more preferably to 95° C.

Abstract: ROI (Region of Interest) detection is an important step in extracting relevant information from a document image. Such images are very high-resolution images in nature and size of images is in order of megabytes, which makes text detection pipeline very slow. Traditional methods detect and extract ROI from images, but these work only for specific image types. Other approaches include deep learning (DL) based methods for ROI detect which need intensive training and require high end computing infrastructure/resources with graphical processing unit (GPU) capabilities. Systems and methods of the present disclosure perform ROI extraction by partitioning input image into parts based on its visual perception and then classify the image in first or second category. Region of interest is extracted from a resized image based on the classification by applying image processing techniques. Further, the system determines whether the input image is a pre-cropped image or a normal scanned image.

Abstract: Systems and methods are provided for controlling a wake-up operation of a memory circuit. The memory circuit is configured to precharge the bit lines of a memory array sequentially during wakeup. A sleep signal is received by the first bit line of a memory cell and then a designed delay occurs prior to the precharge of a second complementary bit line. The sleep signal may then precharge the bit lines of a second memory cell with further delay between the precharge of each bit line. The memory circuit is configured to precharge both bit lines of a memory cell at the same time when an operation associated with that cell is designated.

Abstract: A solution for managing a video conference is provided. Multiple segmentation areas or shapes are stored and made transparent. The background is recorded continuously and simultaneously in a memory presented to a user for a second participant when they are participating in a video conference with a first participant. The segmentation or transparency of objects obstructing information in view of the video conference is selected based on attributes of the first or second participant, or attributes of the video conference. The segmentation may be utilized to provide a desired view, message, or information to individuals participating in, watching, or interacting with a first participant via video conferencing. The background includes static images, a live video feed, a recorded video feed, a static webpage, a non-static webpage, on any surface without obstruction when a first participant is in front of the surface sharing information due to segmentation/transparency of the first participant.

Abstract: A memory circuit includes a global control circuit, a first local control circuit and a first set of word line post-decoder circuits. The global control circuit is configured to generate a first and second set of global pre-decoder signals and a first set of local address signals. The first local control circuit includes a first set of repeater circuits and a first clock pre-decoder circuit. The first set of repeater circuits is configured to generate a first set of local pre-decoder signals in response to the first set of global pre-decoder signals, and a second set of local pre-decoder signals in response to the second set of global pre-decoder signals. The first clock pre-decoder circuit is configured to generate a first and second set of clock signals. The first set of word line post-decoder circuits is configured to generate a first set of word line signals.

Abstract: An instrument for internal mapping includes a flexible elongated portion (702) and an expandable portion (710) coupled distally to the elongated portion, the expandable portion having one or more expandable loops. An array of sensors (706) and electrodes (708) is distributed on the expandable portion and is configured to concurrently register the instrument to real-time images of an anatomy using the sensors and measure electrical characteristics of the anatomy with the electrodes to generate an electro-physiology (EP) map having the anatomy and intensities of the electrical characteristics mapped together in the real-time images.

Abstract: Ultrasound image devices, systems, and methods are provided. An ultrasound imaging system comprising a processor circuit configured to receive, from an ultrasound imaging device, a sequence of input image frames of a moving object over a time period, wherein the moving object comprises at least one of an anatomy of a patient or a medical device traversing through the patient's anatomy, and wherein a portion of the moving object is at least partially invisible in a first input image frame of the sequence of input image frames; apply a recurrent predictive network to the sequence of input image frames to generate segmentation data; and output, to a display, a sequence of output image frames based on the segmentation data, wherein the portion of the moving object is fully visible in a first output image frame of the sequence of output image frames.

Abstract: Disclosed herein is a social media platform profile identification feature. Social media profiles are identified by digital objects instead of or in addition to more traditional indexing methods such as real names or screen names. Associating a digital object as a Social Media avatar, or as a profile detail enables the social media platform to index the digital object and enable users to search for the subject user with the digital object or descriptions thereof. A digital object generator builds unique digital objects based on the user specific input. The unique digital objects are part of a graphic presentation to users.

Abstract: An integrated circuit including a functional circuit, a tuning circuit, and a control circuit is provided. The functional and control circuits generate an output signal and a digital code, respectively. The tuning circuit tunes the functional circuit based on the digital code to control an attribute of the output signal. The digital code is iteratively adjusted such that the attribute of the output signal is maintained within a predefined range. When the digital code corresponds to a cliff value, the digital code for a subsequent iteration is adjusted by a non-unit offset value such that a difference between the attribute for the cliff value and for the subsequent digital code is within a tolerance limit. The digital code is indicative of coarse and fine parameters, and for each value of the coarse parameter, the cliff value corresponds to the lowest or highest value of the fine parameter.

Abstract: Partition-level compression of an m×n sparse matrix includes determining in each partition, row and column indices of elements having non-zero values. Each partition has s rows and t columns and s<m and t<n. A group of ordered sets of tuples is generated from the elements and row and column indices in each partition that has at least one non-zero element. Each ordered set includes s tuples, and positions of the s tuples in the ordered set correspond to the s rows of the partition, each tuple includes a value of an element of the partition and an associated column index, and the associated column index indicates, for an element of the partition having a non-zero value, a column index in the partition. A compression processor indicates for each group, a count of the one or more ordered sets, a partition row number, and a partition column number.

Abstract: Described herein are systems and methods for generating an embedding—a learned representation—for an image. The embedding for the image is derived to capture visual aspects, as well as textual aspects, of the image. An encoder-decoder is trained to generate the visual representation of the image. An optical character recognition (OCR) algorithm is used to identify text/words in the image. From these words, an embedding is derived by performing an average pooling operation on pre-trained embeddings that map to the identified words. Finally, the embedding representing the visual aspects of the image is combined with the embedding representing the textual aspects of the image to generate a final embedding for the image.

Abstract: Methods, computer systems, computer-storage media, and graphical user interfaces are provided for determining user affinities by tracking historical user interactions with tagged digital content and using the user affinities in content generation applications. Accordingly, the system may track user interactions with published digital content in order to generate user interaction reports whenever a user engages with the digital content. The system may aggregate the interaction reports to generate an affinity profile for a user or audience of users. A marketer may then generate digital content for a target user or audience of users and the system may process the digital content to generate a set of tags for the digital content. Based on the set of tags, the system may then evaluate the digital content in view of the affinity profile for the target user/audience to determine similarities or differences between the digital content and the affinity profile.

Abstract: Technologies for language agnostic OCR extraction include identifying a word region of an image using optical character recognition, applying a language agnostic machine learning model to the word region, where the language agnostic machine learning model is trained on training data including a set of image-text pairs and a set of multilingual text translation pairs, receiving, from the language agnostic machine learning model, a word region embedding that is associated with the word region, searching a multilingual index for a text embedding that matches the word region embedding, receiving, from the multilingual index, text associated with the text embedding; and outputting at least one of the text or the text embedding to at least one downstream process, application, system, component, or network.