Abstract: Certain embodiments of the present invention provide techniques for lean level support for a trading strategy. According to certain embodiments, the support for a price level under consideration as a lean level is determined based at least in part on quantity available at the price level. According to certain embodiments, the support for a price level under consideration as a lean level is determined based at least in part on quantity available at one or more other price levels. According to certain embodiments, the support for a price level under consideration as a lean level is determined based at least in part on the number of orders at one or more price levels. A lean level may then be determined based on the determined support. According to certain embodiments, a lean multiplier and/or a lean base are determined dynamically based on the determined support.

Abstract: Various embodiments are directed to systems and methods for processing a discretion order in a dark pool matching environment. A first order to buy or sell a trading product is received from a computer of a first trader. The first order has a first price and a first size. A second order to buy or sell the trading product that is contra to the first order is received from a second trader. The second order defines a second quantity and a price range of possible prices at which the second order can be executed. The price range comprises at least a second price. The second quantity of the trading product is reserved in an OMS of the second trader such that the second quantity of the second order is permitted by the OMS to be executed at any price within the price range. The second order is received before or after the first order is received. A processor determines that the first price of the first order is within the price range of the second order.

Abstract: A method of modeling a financial instrument may include a step of receiving, using a communication device, at least one parameter associated with the financial instrument. Further, the method may include a step of analyzing, using a processing device, the at least one parameter. Further, the method may include a step of identifying, using the processing device, the physical model based on the analyzing. Further, the method may include a step of generating, using the processing device, the financial instrument model based on the identifying and the analyzing. Further, the method may include a step of receiving, using the communication device, a request from a user device. Further, the method may include a step of generating, using the processing device, a response based on the request and the financial instrument model. Further, the method may include a step of transmitting, using the communication device, the response to the user device.

Abstract: The disclosed embodiments relate to automated generation of objective data for use in computing a forward interest rate for a future time period subsequent to a current date, as well as post validation thereof. Periodic sample sets of the prices of actual completed trades between anonymized parties of each of a set of interest rate futures contracts having consecutive expiration months which collectively include the selected future time period are obtained from an anonymized electronic trading system. The prices of current best offers to buy/sell each of those contracts are also randomly obtained. Each sample set, along with the randomly selected prices, is then processed to identify a subset thereof which are consistent with a relationship between the underlying interest rate of the set of contracts and time period covered thereby.

Abstract: A method for determining present or future trends, and providing a recommendation based on those trends is provided. The method includes receiving raw data, where the raw data is data which has not been cleaned or normalized, cleaning and normalizing the raw data, creating historic data via machine learning, comparing the cleaned and normalized data with the historic data, generating a model based on the compared cleaned and normalized data and the historic data, wherein the model generates one or more determinations, and providing the one or more determinations for use by a recommendation engine or a user. Additionally, a method of collecting specific data is provided. The method includes receiving a survey and additional information provided by a panelist on a mobile application, filtering and organizing the panelists, storing the collected information, providing the stored data to a server for cleaning and normalizing, and providing the panelist with rewards.

Abstract: A system and method for rules-driven adjudication is disclosed. The system includes a storage includes a rule library having a plurality of rules, each rule being in a human-readable format and including a first data tag, a comparator, a comparison value, and a result. The system also includes a rules manager configured to receive and store a new rule. The system includes a rules evaluator configured to receive an adjudication request having a data object associated with a data tag, and evaluate the request and create a primary determination by applying a first rule to the request, and further applying a first subsequent rule and all logically adjacent rules until all logically adjacent rules have been exhausted and the primary determination is an indefinite outcome or the applying of a final rule returns an outcome that becomes the primary determination.

Abstract: A computer-implemented method includes creating a premiums escrow, with a zero balance, for a group of policyholders and managed using a distributed ledger and self-executing agreement. At a term beginning, the self-executing agreement receives premium payments sing cryptocurrency from each policyholder and allocates the premium payments to the premiums escrow. During the term the self-executing agreement receives a notification of an incident claim associated with a claimant policyholders. At a term end, the self-executing agreement receives payment instructions from the policyholders; pays, using cryptocurrency from the premiums escrow, the claimant an incident claim payment larger than the premium payment and determined according to the payment instructions; and distributes to the policyholders a rebate payment equal to or lower than the premium payment from the premiums escrow, which returns to a zero balance.

Abstract: Systems and methods are described herein for offering, providing, and charging for on-demand per-encounter liability coverage for healthcare practitioners engaged in telemedicine consultations in connection with a telemedicine platform. The per-encounter liability coverage may be provided to supplement an existing insurance policy of the healthcare practitioner that is, for example, limited to cover only in-person consultations. The on-demand per-encounter liability coverage may be offered in connection with enrollment by the healthcare practitioner in a telemedicine platform that facilitates various types of telemedicine consultations.

Abstract: Systems and methods provide for an automated system for analyzing damage and processing claims associated with an insured item, such as a vehicle. An enhanced claims processing server may analyze damage associated with the insured item using photos/video transmitted to the server from a user device (e.g., a mobile device). The mobile device may receive feedback from the server regarding the acceptability of submitted photos/video, and if the server determines that any of the submitted photos/video is unacceptable, the mobile device may capture additional photos/video until all of the data are deemed acceptable. To aid in damage analysis, the server may also interface with various internal and external databases storing reference images of undamaged items and cost estimate information for repairing previously analyzed damages to similar items. Further still, the server may generate a payment for compensating a claimant for repair of the insured item.

Abstract: A connectivity hub server detects the occurrence of a qualifying update event associated with a user and generates one or more recommended updates to the user's existing coverage based on the qualifying update event. Responsive to the user electing an adaptive coverage policy during an initial coverage binding process, the connectivity hub server periodically queries one or more third-party data sources for information associated with the user and analyzes the received information to detect the occurrence of a qualifying update event. Modules of the connectivity hub server determine one or more recommended coverage updates based on a stored mapping and implement one or more of the recommended coverage updates based on instructions from the user device.

Abstract: A method and system for associating information regarding an object with image objects is disclosed, wherein each image object is a visual data containers including an image associated with the object and data items relating to the object. A user may interact with a graphical user interface to create, modify, and associate image objects by means of the associated images. Information regarding the objects may be associated therewith by means of the image objects, and image objects may be associated with other image objects to generate associations between information regarding the underlying objects. Information regarding other image objects or the associated image may be used to determine information regarding the object, which may be associated with the image object. In some embodiments, associating two or more image objects may associate the underlying objects for purposes of insurance policies or may generate a new insurance policy based on the image objects.

Abstract: Techniques for providing improved rating interfaces and techniques as applied to providing and measuring dynamic self-awareness within human networks. A server transmits to a plurality of computing devices a first command for each respective device to display a self-rating user interface and receive a self-rating input from a respective user. The server receives the plurality of self-rating inputs from the plurality and transmits to the plurality a second command for each respective computing device to display a peer rating user interface and receive a peer rating input from a respective user. The server receives the plurality of peer rating inputs from the plurality and calculates statistics comparing the self-rating inputs and the peer rating inputs from the plurality of respective users. The server transmits to the plurality, a third command for each respective computing device to display, by the respective computing device, a summary of the calculated statistics.

Abstract: A system for managing in-person golf contests for use on a mobile device using a computing platform to provide a service by which an individual can participate in an in-person game of golf for prize money. The user downloads the application, creates a user account, chooses the location and opponents and submits a cash amount to be distributed to the winner. The system further allows for the creation of a profile, social networking between users, scheduling and booking of golf course facilities, gaming competitions, viewing local restaurants and bars and selling and buying of goods.

Abstract: To help find dates with real information and good qualification, a website and an APP for dating provide dates' certified information such as college degree, income, occupation, house and car. Dates' photo IDs or driver licenses will also be posted up after blocking personal information, to show original head pictures and to verify ages.

Abstract: The present invention comprises: a wearable sensor that is worn by a worker, the wearable sensor having a sensor that receives sensor data from a sensing object, and a transmitter that transmits to a terminal the sensor data received by the sensor; and a computer that determines operation content for the worker on the basis of the sensor data received from the wearable sensor, and outputs the result of the determination to a display unit.

Abstract: A method for multi-dimensional identification of flexible load demand response effects, including: step 1. determining a target object, a target area and a demand response project that participate in the multi-dimensional identification of flexible load demand response effects; step 2. acquiring flexible load evaluation data of the target area and the target object; step 3. performing data cleaning; step 4. preprocessing the flexible load evaluation data; step 5. constructing four characteristic extraction indicators, a peak load reduction rate, a peak-to-valley difference ratio, a load factor ratio and a response status, inputting a predicted value and an actual collected value of maximum and minimum daily loads before and after the flexible load demand response that are obtained from the prepossessing, to generate a matrix for clustering; step 6. clustering the matrix for clustering generated in step 5; step 7. guiding a more targeted development of demand response projects.

Abstract: Smart meal preparation can be performed where a consumer order for a food item and a consumer request related to the food item are received. One or more recipes for the food item are received. The one or more recipes are analyzed to determine a conflict with the consumer request. The consumer request and the determined conflict are transmitted to a wearable device worn by a cook who will prepare the food item. Alerts related to the conflict are provided to the cook via the wearable device during preparation of the food item. Preparation of the food item is monitored for compliance with the consumer request.

Abstract: A system for connecting market participants is disclosed. The system may receive a first user data comprising a market participant type. The system may receive a first metadata set associated with the first user data and a second metadata set associated with a second user data, wherein the second metadata set comprises the market participant type. The system may generate a match data based on the first metadata set, the second metadata set, and the market participant type, wherein the match data defines an association between the first user data and the second user data. The system may generate a communication channel between a first user device and a second user device based on the match data.

Abstract: An education management system and an education management method that enable credits to be admitted based on at least one of talents and carriers and a talent donation bank service provision system using the same is disclosed. The education management method comprises acquiring information on talent, career or talent career degree and talent donation-related information for talent, career or talent career degree; monitoring the status of talent or career donation of the talent, career or talent career degree based on the talent donation-related information; checking accumulated talent, career or talent career donation score for a degree student during a set period according to the pre-set donation conditions for the degree or the credits after conferring the degree; and canceling the credit or degree, when the donation score of the degree person is less than the reference score within the donation condition, as a result of the check.

Abstract: The present disclosure relates to a system, computer readable medium, and method for training workers in occupational skills. The disclosure provides highly automated, artificial intelligence driven, ways of improving human capital through the acquisition, development, and verification of multiple career related proficiencies. Generally, the disclosure provides an integrated digital platform that allows workers to (1) receive training on their existing job skills, (2) verify mastery of the existing job skills through various assessments, and (3) receive recommendations regarding which job skills may be useful to acquire.

Abstract: A child services platform is provided which may be utilized by one or more caregivers in electronic data communication with one or more child welfare entities. The one or more caregivers may determine a set of at least one first parameters associated with one or more minor children and may record the set of at least one first parameters into an electronic database. Responsive to determining the set of at least one first parameters, the one or more child welfare entities may determine a set of at least one second parameters associated with the one or more caregivers and may record the set of at least one second parameters into the electronic database. The set of at least one first parameters and the set of at least one second parameters may characterize a relationship between the one or more minor children and the one or more caregivers.

Abstract: A cooperative environmental and life benefit exchange system is presented. The system includes a grid for transmitting available electrical energy, a plurality of rate payers using energy generated from renewable energy sources, a plurality of utility companies providing the grid, a plurality of credits redeemable for acquiring one or more of a plurality of life benefits, and an administrator overseeing a redemption process. In one embodiment, credits are accumulated by the rate payers based on either a predetermined amount of electrical energy purchased from or sold back to the grid. In the redemption process the credits accumulated by the rate payers are redeemed at a redemption rate to provide a redemption value. The redemption value is remitted by the rate payers to satisfy benefit cost for acquiring the life benefits, or portions thereof.

Abstract: The present invention relates to a method and apparatus for making a work safe using at least one electronic beacon and an electronic tag carried by an operator. The beacon and the tag are capable of communicating with one another using a communication scheduler implementing a communication management algorithm. The work environment includes at least one exclusion zone for the operator.

Abstract: Provided is an information acquisition system, an information acquisition method, or the like that can realize smoother acquisition of biometric information. The information acquisition apparatus is arranged in a first section where a first subject stands by and has a first reading unit that reads and acquires identification information from a medium carried by the first subject in the first section, a biometric information acquisition unit that acquires biometric information on the first subject from the first subject, and a first information management unit that transmits, to the server, person information including the identification information and the biometric information associated with each other. The server has a second information management unit that registers, to a database, the person information transmitted from the information acquisition apparatus.

Abstract: A ride-sharing system may include a database configured to maintain a plurality of shuttle routes for ride-sharing and a server configured to receive a ride-sharing request indicating desire to join a ride-share and including a maximum walk distance to a pick-up or drop-off location of the desired route, and transmit, in response to the ride-sharing request, at least one selected route having a route walk distance to the pick-up or drop-off location not exceeding the maximum walk distance.

Abstract: A computer-implemented method includes receiving, from a passenger mobile device, a request message indicative of a passenger request for transportation services, determining, based on the request message, an updated estimated wait time (EWT) to accommodate the passenger, determining, based on the first EWT, a probability value indicative of whether the passenger mobile device will send an acceptance of a ride offer for passenger transport, generating, based on the probability value and a reference transportation mode, a price for the ride offer, and sending a proposal message to the passenger mobile device, the proposal message comprising the ride offer, the price for the ride offer, and an itinerary comprising pickup information, and distance information.

Abstract: A method, apparatus, and system for generating images. An imaging system comprises a computer system with a controller. The controller is configured to receive from a shearography camera system an unloaded visible light image generated of a coating in an area of a structure while the area is in an unloaded state and a loaded visible light image generated while the area is in a loaded state and receive from an infrared camera system an unloaded thermal image generated while the area is in the unloaded state and a loaded thermal image generated while the area is in the loaded state. The controller is configured to subtract the loaded visible light image from the unloaded visible light image to form a subtracted visible light image. The controller is configured to subtract the loaded thermal image from the unloaded thermal image to form a subtracted thermal image.

Abstract: The object detection device extracts a plurality of predetermined features from an image in which a target object is represented, calculates an entire coincidence degree between the plurality of predetermined features set for an entire model pattern of the target object and the plurality of predetermined features extracted from a corresponding region on the image while changing a relative positional relationship between the image and the model pattern, and calculates, for each partial region including a part of the model pattern, a partial coincidence degree between the predetermined features included in the partial region and the predetermined features extracted from a region corresponding to the partial region on the image. Then, the object detection device determines whether or not the target object is represented in the region on the image corresponding to the model pattern based on the entire coincidence degree and the partial coincidence degree.

Abstract: A machine vision system that uses an imager to capture an optical image of a target object that may contain a liquid. The target object is illuminated by an illumination source positioned oppositely from the imager and a predetermined pattern is positioned between the illumination source and the target object so that the imager will capture optical images of the background pattern through any liquid positioned in the target object. A processor is programmed to analyze captured images to detect any distortions of the pattern that are attributable to the presence of a liquid in the target object.

Abstract: The present disclosure relates to methods and apparatus for graphics processing. The apparatus can determine a motion estimation priority for one or more regions in a frame. In some aspects, each of the one or more regions can include a group of pixels. Additionally, the apparatus can adjust a quality of a motion estimation procedure for each group of pixels based on the motion estimation priority of the region including the group of pixels. The apparatus can also perform the motion estimation procedure for each of the at least one group of pixels to generate a motion vector for the at least one group of pixels based on the adjusted quality of the motion estimation procedure.

Abstract: An image processing apparatus comprises an image obtaining unit that obtains image data based on image capturing by a plurality of image capture apparatuses configured to capture images in an imaging area from different positions, and a panoramic image generation unit that generates, based on the image data obtained by the image obtaining unit, a panoramic image including images in directions within a predetermined range based on a specific position in the imaging area, the panoramic image having an enlargement rate of an image in a specific direction included in the predetermined range which is larger than the enlargement rates of images in other directions.

Abstract: A crop generation system determines multiple types of saliency data and multiple crop candidates for an image. Multiple region of interest (“ROI”) ensembles are generated, indicating locations of the salient content of the image. For each crop candidate, the crop generation system calculates an evaluation score. A set of crop candidates is selected based on the evaluation scores.

Abstract: The present disclosure relates to an information processing apparatus and method, an electronic device and computer readable medium. According to an embodiment, an information processing apparatus includes processing circuitry configured to compare environment data acquired by a user equipment with reference data; determine, based on the comparison, an adjustment for an acquisition manner of the environment data; and perform a control to notify the user equipment of indication information related to the adjustment.

Abstract: A terminal for receiving streaming data may receive information of a plurality of different quality versions of an image content; request, based on the information, a server for a version of the image content from among the plurality of different quality versions of the image content; when the requested version of the image content and artificial intelligence (AI) data corresponding to the requested version of the image content are received, determines whether to perform AI upscaling on the received version of the image content, based on the AI data; and based on a result of the determining whether to perform AI upscaling, performs AI upscaling on the received version of the image content through a upscaling deep neural network (DNN) that is trained jointly with a downscaling DNN of the server.

Abstract: A terminal for receiving streaming data may receive information of a plurality of different quality versions of an image content; request, based on the information, a server for a version of the image content from among the plurality of different quality versions of the image content; when the requested version of the image content and artificial intelligence (AI) data corresponding to the requested version of the image content are received, determines whether to perform AI upscaling on the received version of the image content, based on the AI data; and based on a result of the determining whether to perform AI upscaling, performs AI upscaling on the received version of the image content through a upscaling deep neural network (DNN) that is trained jointly with a downscaling DNN of the server.

Abstract: An eye correction system and related techniques are described herein. The eye correction system can automatically detect and correct one or more misaligned eyes in an image. For example, an image of a person can be analyzed to determine whether one or both eyes of the person are misaligned with respect to each other and/or with respect to the entire face of the person. If an eye is determined to be misaligned, the image can be modified so that the eye is adjusted accordingly. For example, an iris of a misaligned eye can be adjusted to align with the face and/or the other eye.

Abstract: Techniques are disclosed for filling or otherwise replacing a target region of a primary image with a corresponding region of an auxiliary image. The filling or replacing can be done with an overlay (no subtractive process need be run on the primary image). Because the primary and auxiliary images may not be aligned, both geometric and photometric transformations are applied to the primary and/or auxiliary images. For instance, a geometric transformation of the auxiliary image is performed, to better align features of the auxiliary image with corresponding features of the primary image. Also, a photometric transformation of the auxiliary image is performed, to better match color of one or more pixels of the auxiliary image with color of corresponding one or more pixels of the primary image. The corresponding region of the transformed auxiliary image is then copied and overlaid on the target region of the primary image.

Abstract: A method for determining an optimality coefficient includes receiving an image including a plurality of pixels. A characteristic function is selected for analyzing the received image. Distribution of the plurality of pixels of the received image is analyzed using the selected characteristic function. The analyzed distribution of the plurality of pixels is compared with a normal probability distribution function. An optimality coefficient value for the received image is generated based on the results of the comparison.

Abstract: Systems and methods are provided for automatically creating combined images of a vehicle and a location. An example method may include determining a location; obtaining a stock image of an environment related to the location; obtaining an image of the vehicle; generating a combined image, comprising combining the stock image of the environment with the image of the vehicle; and displaying the combined image.

Abstract: An image processing apparatus includes one or more processors including hardware. The one or more processors are configured to: divide, regarding a plurality of images acquired by capturing images of an imaging subject over time, the respective images into a plurality of regions; calculate, for the respective divided regions, motion vectors by detecting movements of the imaging subject; detect luminances and contrasts of the respective regions and detect specific regions where the detected luminances and contrasts satisfy determination conditions, the determination conditions being that the luminances are equal to or greater than a first threshold and that the contrasts are equal to or less than a second threshold; select the motion vectors to be used by excluding the motion vectors of the detected specific regions from the calculated motion vectors; and generate a combined image by performing position alignment of the plurality of images by using the selected motion vectors.

Abstract: A fracture detection method executed by an electronic device is provided. The fracture detection method includes obtaining a to-be-detected image; using a Fully Convolutional Networks (FCN) model to process the to-be-detected image to obtain a fracture probability map of the to-be-detected image; performing a maximum pooling process on the fracture probability map to obtain a first fracture probability; extracting Regions of Interests (ROIs) of the to-be-detected image based on the FCN model; inputting the ROIs into a classification model to obtain a second fracture probability; calculating a product of the first fracture probability and the second fracture probability as a probability of a fracture phenomenon in the to-be-detected image. The present disclosure combines the FCN model and the ROIs to realize an automatic fracture detection, and the accuracy is higher. A device employing the method is also disclosed.

Abstract: In a method for adapting a quality threshold for a fingerprint image, a fingerprint image is received. An image quality of the fingerprint image is determined. Provided the image quality of the fingerprint image does not satisfy a quality threshold, the quality threshold is decreased. Provided the image quality of the fingerprint image does satisfy a decreased quality threshold, the fingerprint image is forwarded to a matcher for fingerprint authentication.

Abstract: A method and a graphic user interface for displaying digital media objects and dynamically calculating their quality indicators. A first digital media object is displayed on a first computing device. A first user provides one of predefined inputs corresponding either to a positive or a negative response to the first digital media object. The quality indicator of the first digital media object is increased if the response is positive and decreased if the response is negative. The amount of increase or decrease is calculated based on a coefficient value associated with the first user. Subsequent responses to the first digital media object from other users impact the quality indicator of the first digital media object and, also, impact the coefficient value of the first user. Updated coefficient value of the first user is used to calculate impact of subsequent responses of the first user to other digital media objects.

Abstract: An image generation means 81 generates an image using a generator. A discrimination means 82 discriminates whether an object image includes a feature of a target image, using a discriminator. A first update means 83 updates the generator so as to minimize a first error representing a degree of divergence between a result of discriminating a generated image using the discriminator and a correct answer label associated with the generated image, the generated image being the image generated using the generator. A second update means 84 updates the discriminator so as to minimize a second error representing a degree of divergence between each of respective results of discriminating the generated image, a first actual image including the feature of the target image, and a second actual image not including the feature of the target image using the discriminator and a correct answer label associated with a corresponding image.

Abstract: Embodiments of the innovation relate to an emotional quality estimation device comprising a controller having a memory and a processor, the controller configured to execute a training engine with labelled training data to train a neural network and generate a classroom analysis machine, the labelled training data including historical video data and an associated classroom quality score table; receive a classroom observation video from a classroom environment; execute the classroom analysis machine relative to the classroom observation video from the classroom environment to generate an emotional quality score relating to the emotional quality of the classroom environment; and output the emotional quality score for the classroom environment.

Abstract: A computing-device implemented system and method for identifying an item in an x-ray image is described. The method includes training a machine learning algorithm with at least one training data set of x-ray images to generate at least one machine-learned model. The method further includes receiving at least one rendered x-ray image that includes an item, identifying the item using the at least one model, and generating an automated detection indication associated with the item.

Abstract: A technological solution for analyzing a sequence of electromagnetic spectrum image frames of a nonmetallic asset and detecting or predicting an aberration in the asset, including a detected or predicted location of the aberration.

Abstract: An inspection system for inspecting a target includes a first lighting device configured to irradiate light onto the target from a given direction; a second lighting device, provided between the target and the first lighting device, configured to irradiate light onto the target from an oblique direction with respect to the given direction; an image capture device, provided at a position opposite to a position of the target with respect to the first lighting device and the second lighting device in the given direction; and circuitry configured to acquire a first inspection target image of the target, captured by the image capture device by irradiating the light from the first lighting device, and a second inspection target image of the target, captured by the image capture device by irradiating the light from the second lighting device, to be used for inspecting the target.

Abstract: System and methods and computer program code are provided to perform a commissioning process comprising capturing, using an image capture device, an image of an area containing at least a first fixture, identifying location and positioning information associated with the image, performing image processing of the image to identify a location of the at least first fixture in the image, and converting the location of the at least first fixture in the image into physical coordinate information associated with the at least first fixture.

Abstract: An appliance and method for automated visual inspection of at least two items from different categories, on a production line, include automatically switching between an item profile of a first of the at least two items for inspection; and an item profile of a second of the at least two items for inspection, based on detection of the first item in an image of the production line.