Abstract: A system and method for facilitating foreclosure on collateral is disclosed. An example system may include a lending agreement storage circuit structured to store a plurality of lending agreement data comprising at least one lending agreement, wherein the lending agreement comprises a lending condition data comprising terms and condition data of the at least one lending agreement related to a foreclosure condition on at least one asset that provides a collateral condition related to a collateral asset for securing a repayment obligation of the at least one lending agreement; a data collection services circuit structured to monitor the lending condition data and to detect a default condition based on a change to the lending condition data; and a smart contract services circuit structured to interpret the default condition and communicate a default condition indication that initiates a foreclosure procedure based on the collateral condition and the default condition.

Abstract: Received data messages are delayed for further processing based on a bypass condition. Data messages that conform to the bypass condition are not delayed. Data messages that do not conform to the bypass condition are delayed by a delay. Data messages can be representative of orders in an electronic marketplace or trading system. The bypass condition can include indication of a post-only order. The bypass condition can further include indication of a volume that meets or exceeds a minimum volume. The delay can be calculated from a base delay and a variance that modifies the base delay. The variance can be randomly or pseudo-randomly selected and can conform to a maximum variance.

Abstract: A computer method for establishing a commodity price index includes receiving, via a web server, transactions for a plurality of first electronic currency denominated commodity or commodity future contracts, and recording, with a server computer operatively coupled to the web server, settlement prices for the plurality of the first electronic currency denominated commodity or commodity future contracts on a distributed ledger. The computer method includes reading, with the server computer, from the distributed ledger, at least a portion of the first electronic currency denominated commodity or commodity future contracts settlement prices, and determining a current electronic currency index price from the at least a portion of the first electronic currency denominated commodity or commodity future contracts settlement prices. The computer method includes displaying the current electronic currency index price on an electronic display.

Abstract: Systems and methods are disclosed that provide real-time pre-trade risk assessments for multiple parties. In one embodiment, a Programmable Logic Device (PLD) may be embedded within an Automated Trading Systems (ATS) architecture by utilizing the Intel socket G or the PCIe interface to provide pre-trade risk functionality. The system may also provide a method for interacting with the ATS DRAM or L1 cache to provide faster access to orders in ATS memory for PLDs. The system may use the Quick Path Interconnect between an embedded processor and a PLD to transfer memory maps. The system may also add additional libraries to an ATS processor to accelerate the transfer or memory maps to a PLD. The system also may use system interrupts to cancel erroneous orders within an ATS processor from a PLD housed within the same physical architecture.

Abstract: A computer system uses risk-based principles to identify customers who have conducted money laundering activities. A money laundering risk score is derived from transactional information, background information, and/or due diligence information for each customer of a group of customers. Customers with higher money laundering risks are identified and monitored more closely. The computer system also assists a user to identify at least one transaction that has caused the identified customer to have a money laundering risk score that is in the higher percentiles of the customers.

Abstract: The current invention pertains to the novel, nonobvious, and applicable design and development of an algorithmic system for dynamic conditional asset pricing output and financial intelligence technology platform automation. Core technicality entails the consistent estimation of dynamic conditional alphas after one controls for myriad fundamental characteristics such as market risk, size, value, momentum, asset investment growth, and operating profitability through recursive multivariate filtration. Conditional specification test evidence supports the use of the dynamic conditional multifactor asset pricing model against the static alternatives. The fintech platform allows users to interact with one another by transmitting valuable units of financial intelligence and information in an online social network. The information units include dynamic conditional alpha rank order, key financial ratio summary, quadripartite visualization of financial data, and financial statement analysis.

Abstract: A personalized insurance (“PI”) computing device for determining an optimal insurance product for a driver operating a vehicle for a transportation network company (“TNC”) during a period of increased demand includes at least one processor in communication with at least one memory. The processor is configured to: (i) receive, from a TNC, data indicating increased demand for transportation services, (ii) retrieve driver data that includes the driver history, (iii) generate an optimal pricing model for the driver based upon the increased demand and the driver data, (iv) execute the model to determine an optimal insurance product having characteristics reflecting at least one risk factor associated with the increased demand for transportation services and a risk profile determined from analyzing the driver data, and (v) transmit an offer to the driver to provide transportation services at an increased earnings rate and with the determined optimal insurance product.

Abstract: Embodiments of this invention relate to a method of determining the risk of driving a vehicle on a road network as a function of, for example, location, time of driving, weather, road conditions, driver ability, and traffic density. Historical information for the above is statistically analyzed to come up with a predictive model. Results can be displayed or presented to a driver while driving or otherwise or another person.

Abstract: Systems and methods for multivariate Artificial Intelligence (AI) smart cards are provided. An AI smart card may include, for example, pre-stored policy data that may be utilized as a portion of multivariate input by a suite of AI modules to formulate and analyze a claim of loss.

Abstract: A structural analysis computing device for determining structural characteristics of an object pictured in a three-dimensional (3D) image may be provided. The structural analysis computing device may include a memory, a user interface, an object sensor configured to capture the 3D image of the object, and at least one processor in communication with the memory and the object sensor. The processor may be configured to access the 3D image including the object, automatically determine a first plurality of measurements of the object from the 3D image, and display the 3D image on the user interface. The processor may be further configured to generate a data file including the 3D image and the first plurality of measurements, and store the data file within the memory. The processor may also be configured to transmit the data file to an insurance server computing device for generation of an associated insurance claim form.

Abstract: An on-demand insurance (ODI) server for generating dynamic user offerings may be provided. The ODI server may include at least one processor in communication with a memory device. The at least one processor may be programmed to (i) receive, from a user computing device associated with a user, an insurance policy request for a trip from a start location to an end location, (ii) determine at least one transportation mode available for the trip, (iii) access contextual data associated with the trip, (iv) assess a risk associated with the at least one transportation mode, (v) calculate a risk score associated with the at least one transportation mode based upon at least the contextual data, (vi) generate an insurance offering associated with the at least one transportation mode, and/or (vii) transmit the insurance offering in real time to the user computing device for purchase by the user.

Abstract: According to some embodiments, a risk monitoring data store may contain a set of electronic data records, with each electronic data record being associated with a stream of sensor data received via a communication network from a remote set of sensor systems located at a risk monitoring site. A risk analytics platform computer may receive information associated with the sensor data in substantially real-time and analyze the received sensor data, using at least one risk analytics algorithm, to detect an abnormal pattern associated with a predicted elevated level of risk at the risk monitoring site. The risk analytics platform computer may also automatically transmit a result of the analysis to a risk operations platform. The risk operations platform may then implement an active risk mitigation adjustment at the risk monitoring site responsive to the result of the analysis.

Abstract: Systems and methods are provided for the problem of automatic, algorithm-guided estimation of insurance loss ratio, claims frequency, the probability of excess claims, and other insurance policy performance characteristics for an individual insured or for groups of insured individuals. A time-series-derived Bayesian power spectrum weight is calculated from the frequency of temporal pattern-specific values in terms of intensities at various frequencies of the power spectrum computed from credit utilization ratio (CUR; outstanding balance of debt, as a percentage of credit line available) time-series obtained by the insurer by ‘soft pull’ inquiries submitted periodically to credit-rating agencies, and provides an opportunity to capture and measure the relative magnitude of frequent or unexpected changes in consumer liquidity.

Abstract: Systems, apparatuses, and methods for the recognition and allocation of revenue generated by a subscription based pricing model or plan that is applied to a product or service. Embodiments respond to customer needs for a flexible and powerful revenue allocation engine to permit correct revenue distribution within a subscription economy and effectively trace changes to a revenue schedule and the resulting revenue recognition. Embodiments can efficiently react to changes to a subscription agreement and calculate a new distribution for a revenue schedule and its impact on revenue recognition and future revenue projections. In one embodiment, the systems and methods includes a revenue recognition/allocation engine that operates to evaluate the impact of “charge events” on revenue generation, taking into account relevant business rules and revenue recognition principles.

Abstract: In an example method, a system obtains first data indicating a plurality of properties of a wellbore, and determines a plurality of types of completion equipment available for deployment at the wellbore. Further, the system determines, using a computerized neural network, a plurality of quality metrics based on the first data. Each of the quality metrics represents an estimated likelihood of success of operating a respective one of the types of completion equipment at the wellbore. Further, the system causes a graphical user interface to be displayed to a user. The graphical user interface includes a concurrent presentation of an indication of each of the types of completion equipment, and an indication of each of the quality metrics.

Abstract: An energy efficiency data collection system architecture may be configured to enable efficient and accurate collection of energy efficiency data associated with users and/or sites associated with users and generation of profiles associated with the users based on the energy efficiency data. An energy efficiency data collection service may receive location information, image data, and user-input data from an application operating on a mobile device associated with a user. The energy efficiency data collection service may generate profiles based on the information received from the application and may provide incentives to the users in response to participating in an energy efficiency data collection survey.

Abstract: The work state identifying unit identifies a work state of a work machine disposed in a construction site at each time point and a work state of a transport vehicle traveling at the construction site at each time point. The time chart generation unit that generates a time chart representing the work state of the work machine at each time point and a time chart representing the work state of the transport vehicle at each time point on the basis of the identified work states. The output control unit that outputs the time charts on an identical screen with a time axis as a common axis.

Abstract: A method incrementally solves a current journey planning request from a user. The solving step performs a current search for at least one journey plan that satisfies the request by accessing a database storing journey planning information derived from results to a plurality of previous requests. The solving step stores, in the database, information discovered during the current search for responding to a subsequent request. The information discovered during the current search for responding to the request includes a reusable portion of a search graph, pairs of a state and a lower bound on a best arrival time and pairs of a state and an exact value for the arrival time. The lower bound is employed to increase an accuracy of a pre-computer heuristic function which guides the search based on state dominance in search spaces in which heuristic values are back propagated and stored in the database.

Abstract: A transaction system has Internet-connected partner platforms which display webpages with an Offer-Now button initiating coded instructions to display an electronic input form enabling a person to configure a transaction offer, and an Internet-connected service enterprise providing the coded instructions to the partners, configured specifically to partner requirements. Upon the person activating the Offer Now button from a mobile device, a verification code is sent to the device, to be returned to verify the device, and offer input provided through the device and the electronic form is tracked to be saved as an offer for the transaction.

Abstract: An automated system tracks digital service providers (DSP) data management agreements, DSP behavior, and user behavior, individually and in aggregate, to determine recommended alternatives for content/service sites/providers than those used by a user. The alternatives are selected based on their scoring and congruency or compliance with a user's target privacy data treatment parameters.

Abstract: A estate planning and beneficiary management system according to an embodiment includes a system controller which may prompt and receive from a user information which may be necessary to create and estate planning model. The system may provide for traditional assets and digital assets, such as cryptocurrency and NFTs. The system may provide for distribution of the digital assets using smart contracts and blockchain wallets. The system may provide access by beneficiaries and trusted contacts to the user selected documents at different user defined permission levels. Upon the user's death, the system may automatically notify the beneficiaries and trusted contacts, execute block transactions between the user's wallets and beneficiaries' wallets according to the smart contracts, and notify outside world platforms of the user's death and the user's directives for the particular platforms as laid out in the user's will.

Abstract: In one embodiment, a computer-implemented method that comprises receiving, a user request from a first system user of a plurality of system users for a communication of health data with a health information system. The health information system includes a data store that stores health data related to the plurality of system users.

Abstract: A transport service system receives a ride request from a user device of the transport service, the ride request specifying information about a trip and selecting a direct dispatch pairing mode. The transport service system receives from the user device an input animation, the input animation acquired by the user device from a driver device. In one embodiment the input animation is a sequence of flashing colors. Based on the input animation, the transport service system identifies the driver device and transmits the received ride request to the identified driver device. The transport service system receives an acceptance from the driver device and pairs the driver device and the user device for the ride.

Abstract: A method and system for filtering service requests by destination and deadline are described. A network computer system receives provider data corresponding to a specified destination and a deadline from a service provider. The network computer system tracks a current location of the service provider through a device equipped with one or more location-based resources and receives request data corresponding to requests for service from users. The network computer system analyzes the request data for each of the requests for service to identify a subset of the requests that are assignable to the service provider based on whether the service provider is able to fulfill the request and travel to the desired destination before the deadline. The network computer system transmits a message to the service provider's device requesting that the service provider fulfill one of the requests for service from the identified subset.

Abstract: An information processing device includes a reception unit that receives moving process information indicating a moving process including a transportation and a commercial facility to be used by a user, and a generation unit that generates authentication information that is commonly usable at the transportation and the commercial facility to be used by the user in accordance with the moving process and is used for authenticating the user.

Abstract: A networked system includes an application that produces application frames at a first application frame rate, a graphics processing system that processes the application frames to produce graphics frames at a first graphics frame rate, a VDI system that processes the graphics frames to produce VDI frames at a first VDI frame rate, and an endpoint device that processes the VDI frames to produce endpoint frames at an endpoint frame rate. A frame rate optimization system monitors the application processing, the graphics processing, the VDI processing, and the endpoint processing and, based on the endpoint frame rate, reconfigures at least one of: the application to produce the application frames at a second application frame rate, the graphics processing system to produce the graphics frames at a second graphics frame rate, or the VDI system to produce the VDI frames at a second VDI frame rate.

Abstract: A method for graphics processing. The method including rendering graphics for an application using a plurality of graphics processing units (GPUs). The method including dividing responsibility for the rendering geometry of the graphics between the plurality of GPUs based on a plurality of screen regions, each GPU having a corresponding division of the responsibility which is known to the plurality of GPUs. The method including generating information regarding a piece of geometry with respect to a first screen region for which a first GPU has a first division of responsibility, while rendering the piece of geometry at a second GPU for an image. The method including rendering the piece of geometry at the first GPU using the information.

Abstract: Embodiments for volumetric video encoding and decoding relating to one or more three-dimensional objects are disclosed. In encoding, after mapping from 3D space to 2D plane (802) a point in the 2D plane is examined (805) to determine which points of the 3D object are mapped to the same point to obtain a set of candidate points. Candidate points belonging to a same surface can be used to determine a center of mass for the surface (807). A depth value of the centre of mass is mapped to a 2D projection depth plane (808). A colour value for the centre of mass is interpolated from colour values of points of the set of surface points which are nearest neighbours of the center of mass (810), and used as the colour of the surface in the texture plane (812). Corresponding embodiments for decoding are provided.

Abstract: An image processing apparatus includes a display section that displays a background image and a processing target image on a display screen, a receiving section that receives an input position on the display screen input by user, and a processing section that processes editing to the processing target image based on a relationship between the input position and a position of the processing target image.

Abstract: An image display method for a terminal device that includes a display section having an input section includes displaying a plurality of images including a first image, a second image adjacent to the first image, and a third image adjacent to the second image along a predetermined axis, receiving selection of the first image based on touch input, performing, when a first movement instruction to move the first image to a gap between the second image and the third image is received, display in a first display form indicating that the first image has been moved to the gap between the second image and the third image, and performing, when a second movement instruction to move the first image to a position different from the gap between the second image and the third image is received, display in a second display form different from the first display form.

Abstract: An image processing device includes a rotation processor, a parallax image generator, and a rotation controller. The rotation processor makes rotation processing including rotating first left and right images in a stereo image, to generate second left and right images. The parallax image generator calculates corresponding left and right image points in the second left and right images, to generate a parallax image. The rotation controller obtains a coordinate point to calculate an amount of angular change in a rotation angle in the rotation processing. The coordinate point indicates relation of a first positional difference in a horizontal direction and a second positional difference in a vertical direction, between first and second positions. The first and second positions are respective positions of the left and right image points in the second left and right images.

Abstract: There is provided a method for lossy image or video encoding and transmission, including the steps of receiving an input image at a first computer system, encoding the input image using a first trained neural network to produce a latent representation, performing a quantization process on the latent representation to produce a quantized latent, and transmitting the quantized latent to a second computer system.

Abstract: An image processing apparatus includes an information acquisition unit configured to acquire first optical information outside an image circle of an imaging optical system, and a processing unit configured to perform sharpening processing, based on the first optical information, for an input image generated by imaging using the imaging optical system. The first optical information is optical information generated based on second optical information within the image circle of the imaging optical system.

Abstract: A method for jointly removing rolling shutter (RS) distortions and blur artifacts in a single input RS and blurred image is presented. The method includes generating a plurality of RS blurred images from a camera, synthesizing RS blurred images from a set of GS sharp images, corresponding GS sharp depth maps, and synthesized RS camera motions by employing a structure-and-motion-aware RS distortion and blur rendering module to generate training data to train a single-view joint RS correction and deblurring convolutional neural network (CNN), and predicting an RS rectified and deblurred image from the single input RS and blurred image by employing the single-view joint RS correction and deblurring CNN.

Abstract: An apparatus and method for geometrically correcting a distorted input frame and generating an undistorted output frame. The apparatus includes an external memory block that stores the input frame, a counter block to compute output coordinates of the output frame for a region based on a block size of the region, a back mapping block to generate input coordinates corresponding to each of the output coordinates, a bounding module to compute input blocks corresponding to each of the input coordinates, a buffer module to fetch data corresponding to each of the input blocks, an interpolation module to interpolate data from the buffer module and a display module that receives the interpolated data for each of the regions and stitch an output image. The method includes determining the size of the output block based on a magnification data.

Abstract: A display apparatus switches to any one of a plurality of modes, generates a partial image, and controls a luminance of a black region. The plurality of modes includes a first mode capable of displaying an image of a first dynamic range on a display unit and a second mode capable of displaying an image of a second dynamic range wider than the first dynamic range on a display unit. The partial image includes at least a black region and is superimposed on an image displayed on the display unit. Controlling includes controlling a luminance of the black region of the partial image in the second mode to be less than a luminance of the black region of the partial image in the first mode.

Abstract: A method is provided for image-processing an image dataset acquired from a patient by a medical imaging apparatus, (e.g., an X-ray apparatus), wherein the image dataset includes image values associated with image points, and depicts an acquisition region of the patient containing at least one object, (e.g., a medical device), to be enhanced, which is represented by image values within an image-value interval. The method includes determining a non-linearly high-pass filtered enhancement dataset, which is confined to an image portion containing image values lying in the image-value interval. The method also includes determining a result dataset by adding to the image dataset the enhancement dataset weighted by a weighting value. The method further includes outputting the result dataset.

Abstract: This invention provides a system and method for finding multiple line features in an image. Two related steps are used to identify line features. First, the process computes x and y-components of the gradient field at each image location, projects the gradient field over a plurality subregions, and detects a plurality of gradient extrema, yielding a plurality of edge points with position and gradient. Next, the process iteratively chooses two edge points, fits a model line to them, and if edge point gradients are consistent with the model, computes the full set of inlier points whose position and gradient are consistent with that model. The candidate line with greatest inlier count is retained and the set of remaining outlier points is derived. The process then repeatedly applies the line fitting operation on this and subsequent outlier sets to find a plurality of line results. The process can be exhaustive RANSAC-based.

Abstract: A method and an apparatus are provided. The method includes receiving a video with a first plurality of frames having a first resolution; generating a plurality of warped frames from the first plurality of frames based on a first type of motion compensation; generating a second plurality of frames having a second resolution, wherein the second resolution is of higher resolution than the first resolution, wherein each of the second plurality of frames having the second resolution is derived from a subset of the plurality of warped frames using a convolutional network; and generating a third plurality of frames having the second resolution based on a second type of motion compensation, wherein each of the third plurality of frames having the second resolution is derived from a fusing a subset of the second plurality of frames.

Abstract: A computer-implemented method to perform image-to-image translation. The method can include obtaining one or more machine-learned generator models. The one or more machine-learned generator models can be configured to receive an input image and a user-specified conditioning vector that parameterizes one or more desired values for one or more defined characteristics of an output image. The one or more machine-learned generator models can be configured to perform, based at least in part on the user-specified conditioning vector, one or more transformations on the input image to generate the output image with the one or more desired values for the one or more defined characteristics. The method can include receiving the input image and the user-specified conditioning vector. The method can include generating, using the machine-learned generator model, an output image having the one or more desired values for the one or more characteristics.

Abstract: An image processing system includes: an image signal processor including a first neural network, and processing an input image by using the first neural network so as to generate a post-processed image; and a discriminator including a second neural network, and receiving a target image and the post-processed image, and discriminating the target image and the post-processed image into a real image and a fake image by using the second neural network, wherein the second neural network is trained to discriminate the target image as a real image and to discriminate the post-processed image as a fake image, and the first neural network is trained in such a manner that the post-processed image is discriminated as a real image by the second neural network.

Abstract: The present disclosure relates to systems and methods for image processing. The method may include receiving an original image including a plurality of pixels; determining a plurality of smoothed images by applying a plurality of filtering kernels to the plurality of pixels of the original image, wherein each of the plurality of filtering kernels may be associated with a respective kernel size; determining a plurality of enhanced images by comparing the original image with the plurality of smoothed images; and generating a target image based on at least one of the plurality of enhanced images and at least one of: the original image or at least one of the plurality of smoothed images.

Abstract: In various examples, a system receives image data characterizing an image of an item. Additionally, the system implements a first set of operations and a second set of operations. In some examples, the first set of operations includes performing a structural similarity analysis of the item, based on the image data, and determining a structural similarity score based on the structural similarity analysis of the item. In other examples, the second set of operations includes generating a plurality of derivative images by applying a plurality of distortions to the image of the item, extracting one or more features based at least on the plurality of derivative images, and determining the quality of the image based at least on the extracted one or more features and the structural similarity score.

Abstract: A system and method of inspecting a chicken piece comprising generating an image for the chicken piece, identifying a defect type, a defect location and an area of each defect on the chicken piece based on the image, and grading the chicken piece into one of a plurality of grades based on the defect type and the area.

Abstract: An automated analysis instrument operates to detect inadequate dispensation of a fluidic substance on a tray. The instrument includes an image capturing device to capture an image of at least a portion of the tray including a receptacle portion and a surrounding portion around the receptacle portion. The instrument then identifies the surrounding portion of the at least the portion of the tray in the image, evaluates color components of the image corresponding to the surrounding portion of the at least the portion of the tray, and determines whether the fluidic substance is present on the surrounding portion of the at least the portion of the tray based on at least one of the color components.

Abstract: Systems and methods for detecting surface anomalies are disclosed. For example, a computer-implemented method for detecting surface anomalies on an object comprises receiving measured electromagnetic radiation (EMR) profiles for the object, generating synthetic EMR profiles for the object based on the measured EMR profiles, determining whether the object contains a surface anomaly based on the measured EMR profiles and the synthetic EMR profiles, and indicating a surface anomaly to a user via a display when a surface anomaly is detected. In another example, a system comprises a computing device comprising non-transitory memory with computer-readable instructions for receiving unpaired image data of an object of two different image types, predicting missing image data to generate paired image data of the two different image types, and determining whether the object contains a surface anomaly based on the paired image data.

Abstract: A target image of a target circuit board and a gold image of a gold circuit board are taken by an image acquisition system. Fiducial points are located on the target image and on the gold image. Perspective transformation is performed on the target image using the fiducial points on the target image for reference and on the gold image using the fiducial points on the gold image for reference. After perspective transformation, an anomalous section of the target image is identified by identifying pixels that have different intensities between the target image and the gold image, the anomalous section being indicative of an unauthorized modification to the target circuit board.

Abstract: In an inspection method and apparatus, when thermal image data with respect to cap sealing of a particular container is analyzed and a low confidence score is obtained, products are classified into a user check product by a rejection-process of separating the products, without determining the products to be good products or not good products.

Abstract: A deterioration determination method in a deterioration determination device configured to determine deterioration of an X-ray detector of an industrial X-ray imaging apparatus, the deterioration determination method including: an acquisition step of acquiring a captured image generated by the X-ray detector; a statistical processing step of generating statistical processing information of the captured image; and a determination step of determining whether or not the X-ray detector has been deteriorated, based on the statistical processing information.

Abstract: Some embodiments are directed to a process for quantifying changes in the intestinal mucosa caused by a chronic inflammatory intestinal disease in individuals, an ex vivo process for diagnosing a chronic inflammatory intestinal disease in individuals, and an ex vivo process for the differential diagnosis of Crohn's disease versus ulcerative colitis in individuals.