Abstract: Appearance data associated with a target commodity is collected by a blockchain node device, where original appearance data associated with the target commodity is registered with a distributed database associated with a blockchain in advance. Whether a damage event occurs on the target commodity is determined by the blockchain node device based on the appearance data and the original appearance data. In response to a determination that the damage event occurs on the target commodity, a smart contract corresponding to the target commodity is invoked by the blockchain node device. Commodity damage claim logic stated in the smart contract is executed by the blockchain node device to complete a commodity damage claim for the target commodity.

Abstract: Provided is a method, apparatus, system and electronic device for credit tax refundment. The method for credit tax refundment comprises receiving a request for credit tax refundment and a refund amount; parsing the request for credit tax refundment to obtain identity information of a user applying for refundment; determining whether or not a user corresponding to the request is eligible for credit tax refundment based on the identity information of the user; obtaining an associated account based on the identity information of the user and remitting a tax refund of an equivalent amount into the associated account, in the case that the user corresponding to the request is eligible for credit tax refundment.

Abstract: Various embodiments are related to apparatuses and methods related to payroll processing. An employee can designate a customized payroll pay period, and each employee can designate a different payroll pay period. For example, the employee can designate to receive payroll payments on any frequency supported by the employer, including receiving a daily payroll payment on each day that the employee works. The employee's employer can make payroll payments according to the employee's designation. Further, when the employer is a merchant that makes sales each day using, for example, a point of sale system, the employer can electronically pay the employee using funds from the day's sales. For example, the employee can work on a selected day, and can receive an electronic payroll payment at the end of the shift. The employee can immediately use the just received electronic payment funds to purchase a good from a second merchant.

Abstract: A social media service and platform generates an improved measure of influence based on measures of purchases of fans made in response to content appearing on an influencer's channel. The improved influence score addresses the problem that conventional influence scores are often unreliable due to the use of bots and other techniques to artificially increase the number of fans and likes of an influencer's channel. Additional measures to ensure integrity of channels and support privacy and security may also be supported by the social network service.

Abstract: A social network service (SNS)-based recommendation information providing method in a first user terminal including one or more processors including executing an instant messaging application to establish a chat room between user terminals, which include the first user terminal and a second user terminal, receiving a message from the second user terminal, determining whether at least one piece of financial transaction information among an amount of money, an account number, and an account holder is included in the message, determining whether the message is a suspected phishing message, based on a history of chatting between the first user terminal and the second user terminal, generating a notification message notifying that it is determined that the message is the suspected phishing message, and displaying recommendation information including the notification message via an output interface may be provided.

Abstract: A system that includes a fuel dispenser terminal and a remote controller. The fuel dispenser terminal is configured to send a service request for a fuel purchase to the remote controller and receive a personalized offer in response to sending the service request. The fuel dispenser terminal is further configured to display the personalized offer, receive a user response indicating the personalized offer was accepted, and send the user response to the remote controller. The fuel dispenser terminal is further configured to receive an authorization token for retrieving the personalized offer and output the authorization token to the customer. The remote controller is configured to update the service request by adding a purchase associated with the personized offer to the fuel purchase, send an encrypted service request to a service processor, generate the authorization token, and send the authorization token to the fuel dispenser terminal.

Abstract: Systems and processes are described for improved management and operation of a commercial kitchen, for example, in a quick-serve restaurant. A communication hub may interconnect a production client comprising a digital device arranged to execute a production application; a preparation/cook client comprising a digital device arranged to execute an ingredient preparation application; and one or more connected kitchen appliances. A broker (hub) provides communications among the production client, the preparation client, the connected kitchen appliance and an orchestrator application. A database may be coupled to the orchestrator for storing a set of prescribed workflows and ingredients parameters for ingredients to make menu items.

Abstract: A system and method for transitioning a distributed ledger network according to a legal contract that includes: establishing a contract, which comprises generating a set of programmable clauses for the contract by implementing a templating system comprised of a template model that contains the logic of each programmable clause of the set of programmable clauses; operating a distributed ledger network between participants, wherein the distributed ledger network is configured with an application model that maps to the template model; updating the contract state; updating the distributed ledger network according to the application model; in response to at least one update to the contract state, recording an update to the distributed ledger network; and in response to at least one contract-associated update in the distributed ledger network, initiating execution of at least one programmable clause of the contract and recording a subsequent update to the distributed ledger network.

Abstract: Disclosed are a method and apparatus for identifying authenticity of two parties' evidence based on a blockchain ledger. For a certain case event that the accusant of the case claims to be real, the accusant's accusation evidence for supporting the case event is identified through the target procedure; in addition, the respondent's responding evidence for falsifying the case event is identified through the target procedure. The target procedure is: identifying target electronic evidence, providing a relatively high authenticity reference score for the target electronic evidence when it is determined that the target electronic evidence has been stored by at least one candidate blockchain ledger platform, and providing a relatively low authenticity reference score for the target electronic evidence when it is determined that the target electronic evidence is not stored by the at least one candidate blockchain ledger platform.

Abstract: Disclosed are a method and apparatus for determining evidence authenticity based on a blockchain ledger. The method includes: identifying target electronic evidence, providing a relatively high authenticity reference score for the target electronic evidence in response to that it is determined that the target electronic evidence is stored by at least one candidate blockchain ledger platform, and providing a relatively low authenticity reference score for the target electronic evidence in response to that it is determined that the target electronic evidence is not stored by at least one candidate blockchain ledger platform. If the target electronic evidence corresponds to a relatively high authenticity reference score, it indicates that the identified target electronic evidence has a relatively high degree of authenticity (possibility of being authentic) and a relatively low possibility of being tampered with.

Abstract: Methods and systems are presented herein for setting up, recording, remediating, and managing Service Level Agreements (SLA) between a financial institution, and one or more vendors providing services and/or other products to the financial institution.

Abstract: Embodiments of the present disclosure include a system and method of compartmentalizing some or all aspects of clinical trial data acquisition and management. Moreover, embodiments include aggregation of the compartmentalized trial data to perform business metrics, trial interaction studies, and the like.

Abstract: Methods, systems, apparatus, and computer program products are provided. In an example embodiment, a method is provided comprising receiving input identifying load information corresponding to a load to be inserted into a transportation plan. The transportation plan comprises a plurality of transportation schedules, each schedule comprising a plurality of transportation movements. The method further comprises identifying an available movement network comprising portions of transportation schedules having open capacity, each portion of a transportation schedule having open capacity being a potential leg of a path from the origin location to the destination location; determining potential solutions for transporting the load from the origin location to the destination location by combining one or more legs to determine a path of open capacity movements from the origin location to at least part way to the destination location; and providing one or more potential solutions for display via a user interface.

Abstract: Embodiments of the present disclosure relate to a computer-implemented method. The method may include receiving identification information of a vehicle and identification information of a parking space to bind the vehicle with the parking space and generate binding information, receiving a time when the vehicle enters the parking space and a time when the vehicle exits the parking space, calculating a parking fee of the vehicle according to the time when the vehicle enters the parking space and the time when the vehicle exits the parking space, determining identification information of a shopping cart that corresponds to the vehicle according to the identification information of the vehicle, the binding information of the vehicle and the parking space, and a correspondence between the parking space and the shopping cart, and sending the parking fee of the vehicle to the shopping cart that corresponds to the identification information of the shopping cart.

Abstract: The present invention makes it possible to supply transportation capacity suitable for movement demand in numerous circumstances.

Abstract: An embodiment of a graphics apparatus may include a mask buffer to store a mask, a shader communicatively coupled to the mask buffer to apply the mask to a first shader pass, and a resolver communicatively coupled to the mask buffer to apply the mask to a resolve pass. The resolver may be configured to exclude a sample location not covered by the mask in the resolve pass. Other embodiments are disclosed and claimed.

Abstract: Methods are provided for creating objects in a way that permits an API client to explicitly participate in memory management for an object created using the API. Methods for managing data object memory include requesting memory requirements for an object using an API and expressly allocating a memory location for the object based on the memory requirements. Methods are also provided for cloning objects such that a state of the object remains unchanged from the original object to the cloned object or can be explicitly specified.

Abstract: A computer implemented method for warping multi-field color virtual content for sequential projection includes obtaining first and second color fields having different first and second colors. The method also includes determining a first time for projection of a warped first color field. The method further includes determining a second time for projection of a warped second color field. Moreover, the method includes predicting a first pose at the first time and predicting a second pose at the second time. In addition, the method includes generating the warped first color field by warping the first color field based on the first pose. The method also includes generating the warped second color field by warping the second color field based on the second pose.

Abstract: The present disclosure provides an image processing method applied to a displaying terminal. The method includes: receiving a to-be-processed layer image delivered by the displaying terminal; querying a high resolution layer image matched with the to-be-processed layer image in a preset database based on the to-be-processed layer image; and delivering the high resolution layer image to the displaying terminal, thereby the displaying terminal processes the to-be-processed layer image based on the high resolution layer image. The present disclosure further discloses an image processing device, system and computer readable storage medium. According to the disclosure, an image resolution is improved.

Abstract: A method for structure simulation for super-resolution fluorescence microscopy, the method including receiving a first image having a first resolution, which is indicative of a distribution of fluorophores; applying a Markov model to the fluorophores to indicate an emission state of the fluorophores; generating a plurality of second images, having the first resolution, based on the first image and the Markov model; adding DC background to the plurality of second images to generate a plurality of third images, having the first resolution; downsampling the plurality of third images to obtain a plurality of fourth images, which have a second resolution, lower than the first resolution; and generating a time-series, low-resolution images by adding noise to the plurality of fourth images. The time-series, low-resolution images have the second resolution.

Abstract: Methods and systems for neural network based image restoration are disclosed herein. An example method at least includes acquiring a plurality of training image pairs of a sample, where each training image of each of the plurality of training image pairs are images of a same location of a sample, and where each image of the plurality of training image pairs are acquired using same acquisition parameters, updating an artificial neural network based on the plurality of training image pairs, and denoising a plurality of sample images using the updated artificial neural network, where the plurality of sample images are acquired using the same acquisition parameters as used to acquire the plurality of training image pairs.

Abstract: A discrete wavelet transform-based noise removal apparatus and a remote medical diagnosis system using the same. The discrete wavelet transform-based noise removal apparatus can effectively remove noise from various medical images including ultrasound images, images indicative of results of biological or chemical reaction on a bio-disc, images obtained by medical devices, and images for telemedicine.

Abstract: Techniques of inpainting video content include training a neural network to perform an inpainting operation on a video using only content from that video. For example, upon receiving video content including a sequence of initial frames, a computer generates a sequence of inputs corresponding to at least some of the sequence of initial frames and each input including, for example, a uniform noise map. The computer then generates a convolutional neural network (CNN) using the sequence of input as the initial layer. The parameters of the CNN are adjusted according to a cost function, which has components including a flow generation loss component and a consistency loss component. The CNN then outputs, on a final layer, estimated image values in a sequence of final frames.

Abstract: To allow a better determination of an image of a different luminance dynamic range (in particular as characterised by a different maximum luminance a.k.a.

Abstract: Apparatus for binning an input value into one of a plurality of bins which collectively represent a histogram of input values, each of the plurality of bins representing a corresponding range of input values, the apparatus comprising: an input for receiving an input value; a noise source configured to generate an error value according to a predetermined noise distribution; and a binning controller configured to mix the received input value with the error value so as to generate a modified input value and to allocate the modified input value to the bin corresponding to that modified input value.

Abstract: A method for multi-frame blending includes obtaining at least two image frames of a scene. One of the image frames is associated with a shorter exposure time and a higher sensitivity and representing a reference image frame. At least one other of the image frames is associated with a longer exposure time and a lower sensitivity and representing at least one non-reference image frame. The method also includes blending the reference and non-reference image frames into a blended image such that (i) one or more motion regions of the blended image are based more on the reference image frame and (ii) one or more stationary regions of the blended image are based more on the at least one non-reference image frame.

Abstract: A multi-aperture imaging device that is, on the one hand, able to provide image information on a scene and, on the other hand, allows obtaining high lateral resolution and/or a wide total field of view, is described. The multi-aperture imaging device is provided with a first plurality of optical channels for projecting overlapping first partial fields of view of a total field of view on first image sensor areas of an image sensor of the multi-aperture imaging device, as well as with a second arrangement of optical channels for projecting at least a part of of the total field of view on a second image sensor area of the image sensor.

Abstract: An image processing method and a related device are provided to obtain a target image wherein texture of the obtained image is clearer, the image processing method includes: obtaining a visible light image and an infrared light image; obtaining first luminance information of the visible light image and second luminance information of the infrared light image; fusing the first luminance information and the second luminance information, to obtain a contrast fusion image; obtaining first texture information of the visible light image and second texture information of the infrared light image; fusing the first texture information, the second texture information, and the contrast fusion image, to obtain a texture fusion image; obtaining a color fusion image based on the visible light image and the infrared light image; and fusing the texture fusion image and the color fusion image, to obtain a target image.

Abstract: A system includes a computer programmed to detect a first and a second object in received image data, determine a mesh of cells on each of the first and second object surface, upon identifying a cell of the mesh on the first object mismatched to a corresponding cell on the second object to refine the mismatched cell to a plurality of cells, wherein identifying the mismatch is based on a at least one of a mismatch in a color, texture, shape, and dimensions, stop refining the cell upon determining that a refinement of the refined cell of the first object results in a refined cell that is matched to a corresponding refined cell of the second object, and output location data of mismatched cells of the first and second objects. A mismatched cell has at least one of a color mismatch, texture mismatch, and shape mismatch.

Abstract: A method for detecting defects in manufactured objects includes acquiring a high-resolution image of an object for test, dividing the image into a plurality of smaller sub-images and determining, by a first model, whether each of the small sub-images is similar to a preset template image. The test object is determined to be flawless, when each of the sub-images is found to be similar to a template image. When sub-images are not found sufficiently similar to template images, determining, by a second model, whether a defect is shown to exist within each sub-image, and if so the test object is declared defective. The longer application of the second model is only applied if testing for defects is not resolved by the application of the first model. An electronic device and a computer readable storage medium are also provided.

Abstract: There are provided an automatic inspection system and an automatic inspection method capable of suppressing power consumption of a measurement device. A measurement device includes a sensor unit 11 that measures an inspection target 3, a parameter management unit 13 that determines a predetermined parameter set for the sensor unit based on parameter determination information received from a data collection device 2, and a measurement data generation unit 12 that generates measurement data by analyzing data obtained by the sensor unit measuring the inspection target by using the predetermined parameter. The data collection device includes a parameter determination information generation unit 23 that generates parameter determination information, and a measurement data acquisition unit 21 that specifies the parameter determination information for the measurement device, requests the measurement device to acquire the measurement data, and stores the measurement data acquired from the measurement device.

Abstract: A target detection method includes obtaining a depth image, performing detection on the depth image based on a detection algorithm, and, in response to obtaining a candidate region of a target object as a result of the detection, determining whether the candidate region of the target object is an effective region of the target object based on a verification algorithm.

Abstract: Provided are a method for detecting display screen quality, an apparatus, an electronic device and a storage medium. The method includes: receiving a quality detection request sent by a console deployed on a display screen production line, the quality detection request including a display screen image collected by an image collecting device on the display screen production line; inputting the display screen image into a defect detection model to obtain a defect detection result, the defect detection model being obtained by training historical defective display screen images using a structure of deep convolutional neural networks and an object detection algorithm; and determining, according to the defect detection result, a defect on a display screen corresponding to the display screen image, a defect category corresponding to the defect, and a position corresponding to the defect.

Abstract: A method of performing a structure data operation includes providing input data including a processing structure and an input solid structure including a plurality of solid units, converting the input solid structure to an input boundary surface structure including attribute information on input boundary surfaces of the plurality of solid units, performing a structure data operation on the input boundary surface structure to generate an output boundary surface structure, and providing output data based on the output boundary surface structure. The structure data operation includes applying the processing structure to the input boundary surface structure.

Abstract: Implementations of this specification provide for recognizing damage through image analysis. An example method includes obtaining a marked picture, the marked picture including one or more damage mark boxes, each damage mark box framing a respective portion of the marked picture depicting a damaged object; using a damage detection model to predict at least one damage prediction region in the marked picture, the at least one damage prediction region including a first damage prediction region; determining a location loss term related to a location deviation in a loss function for a current prediction, including determining whether any of the one or more damage mark boxes fully encompasses the first damage prediction region; and updating the damage detection model based on the loss function, such that the damage detection model is adjusted to reduce deviations between damage mark boxes and damage prediction regions.

Abstract: According to one embodiment, a determination device includes a processor. The processor inputs a first image to a first model when the first image is input to the processor. The first image is of a welding spot when welding. The first model is for determining whether or not an image is appropriate. The processor determines an appropriateness of a weld by using the first image when the first image is determined to be appropriate by the first model, and outputs information for correcting an imaging condition of the welding spot when the first image is determined to be inappropriate by the first model.

Abstract: In an method for inspecting the coating of an electronic component, wherein the electronic component includes at least one electrical resistance element and wherein the layer thickness of at least one coating is determined thermographically, it is provided as essential to the invention that the electrical resistance element is contacted electrically, an electrical voltage is applied to the resistance element, the temperature of the electronic component in the area of the resistance element is captured as a function of time, and a conclusion is drawn about the layer thickness of the coating of the electronic component in the area of the resistance element based on the temperature variation over time.

Abstract: A microbe scanning device and methods are disclosed. The device includes a housing that includes a sensor(s), output device(s) that conveys text/audio/images, and control circuit(s) coupled to the sensor(s) and output device(s). the sensor captures first ASD and second ASD. The first and second ASD each includes an image of an appendage captured using one or more of radio waves, visible light (“VL”), and infrared light (“IR”). The control circuit is configured to determine, using ASD, whether a user is present; determine, using ASD, whether hands are present when the user is present; determine, using ASD, whether microbiol material is present on the hands; generate a notification when the microbial material is present on the hands; transmit, via the output device, the notification; generate a notification when the microbial material is not present on the hands; and transmit the second notification when generated.

Abstract: Metabolite profiles are generated from magnetic resonance images. These metabolite profiles indicate a topography of the metabolites in one or more anatomical regions. The magnetic resonance images can be metabolite images, such as those obtained using hyperpolarized 13C-MRI. The metabolite profiles can be generated by parcellating the magnetic resonance images into different regions, computing z-scores for those regions, and generating the metabolite profile based on the computed z-scores.

Abstract: A method for analyzing a quality of an orthodontic aligner is described. The method includes receiving, by a processor, a digital representation of a fabricated orthodontic aligner, the digital representation having been generated based on imaging of the fabricated orthodontic aligner. The method further includes analyzing, by the processor, the digital representation of the fabricated orthodontic aligner to identify a quality-related property of the fabricated orthodontic aligner. The method further includes determining, based on the quality-related property, that the fabricated orthodontic aligner comprises a manufacturing flaw. The method further includes classifying, by the processor, the fabricated orthodontic aligner as requiring further inspection by a technician based on determining that the fabricated orthodontic aligner comprises the manufacturing flaw.

Abstract: A multi-label heat map generating system is operable to receive a plurality of medical scans and a corresponding plurality of medical labels that each correspond to one of a set of abnormality classes. A computer vision model is generated by training on the medical scans and the medical labels. Probability matrix data, which includes a set of image patch probability values that each indicate a probability that a corresponding one of the set of abnormality classes is present in each of a set of image patches, is generated by performing an inference function that utilizes the computer vision model on a new medical scan. Preliminary heat map visualization data can be generated for transmission to a client device based on the probability matrix data. Heat map visualization data can be generated via a post-processing of the preliminary heat map visualization data to mitigate heat map artifacts.

Abstract: A multi-label generating system is configured to: store a first plurality of medical scans with corresponding global labels and a second plurality of medical scans with corresponding region labels, wherein the global labels each correspond to one of a set of abnormality classes and wherein each of the region labels correspond to one of the set of abnormality classes; generate a computer vision model by training on the first plurality of medical scans with the corresponding global labels and the second plurality of medical scans with the corresponding region labels; receive a new medical scan; generate global probability data based on the computer vision model, wherein the global probability data indicates a set of global probability values corresponding to the set of abnormality classes, and wherein each of the set of global probability values indicates a probability that a corresponding one of the set of abnormality classes is present in the new medical scan; and transmit the global probability data to a cli

Abstract: A method for determining a brain age, the method comprising the following: providing a brain age determining convolutional neural network (CNN) (200); training the CNN (200) to determine the brain age based on a plurality of sets of input data comprising magnetic resonance imaging (MRI) scans of a brain, the set comprising at least two types of MRI volumes, wherein the at least one type of brain tissue on the first type of the MRI volume is represented by a different contrast with respect to other tissues than on a second type of the MRI volume; and performing an inference process using the trained CNN (200) to determine the brain age based on the set of input data comprising magnetic resonance imaging (MRI) scans of a brain, the set comprising at least the two types of the MRI volumes as used for the training.

Abstract: A method for predicting brain disease state change is disclosed. The method includes acquiring test images obtained by capturing a portion of a human brain at a time interval, performing a pre-processing procedure of converting the test images into test voxels configured to be processed for image analysis, wherein a respective test voxel of the test voxels is composed of three-dimensional voxel units, mapping first and second test voxels selected from the test voxels acquired from a patient, with each other on a three-dimensional voxel unit, wherein the first test voxel is acquired at a first time-point and the second test voxel is acquired at a second time-point, generating a voxel-based data-set based on the mapped first and second test voxels, extracting a change in the test voxels using a deep neural network, and generating a state change probability model based on the change in the test voxels.

Abstract: The image processing apparatus includes a reading unit configured to read a document and generate a scanned image, a dividing unit configured to analyze a distribution of constituent pixels of the scanned image and divide the scanned image based on a document component, an obtaining unit configured to obtain an inclination of a predetermined area among areas into which divided by the dividing unit, a classifying unit configured to classify the predetermined area into a predetermined area group based on the obtained inclination of the predetermined area, a setting unit configured to set a circumscribed rectangle encompassing the predetermined area included in the predetermined area group, a specifying unit configured to specify an area whose feature amount changes in the scanned image outward from the circumscribed rectangle as a document area, and a cropping unit configured to crop the specified document area as a document image.

Abstract: An image creation unit (46) creates a reference image such as a stained image on the basis of data read from a reference image data storage section (44), for example, and an image sending unit (40) sends the image to a sample provider terminal (7). A sample provider checks the image using commonly used image editing software, and adds, to the image, a frame representing an ROI required for a detailed analysis. In an imaging mass spectrometer (1), an image input unit (41) receives the image to which information on the ROI has been added, and a region information extraction unit (42) extracts the ROI and stores region information on the ROI in a storage section (43). The image creation unit (46) sets, on any MS image, the ROI on the basis of the region information stored in the storage section (43), and a display processing unit (47) displays the ROI on a screen of a display unit (6).

Abstract: A tracking device for tracking a target object includes an interface connectable to a camera configured to acquire an image and determine a location of the object within the image and a distance therefrom, a memory that stores first coordinates that indicate a location of the camera with respect to a reference point in the facility, and a first direction towards which the camera faces, and a processor configured to calculate a second direction from the camera to the object based on the first direction and the location of the object, based on the second direction and the distance, calculate second coordinates indicating a location of the target object with respect to the location of the camera, based on the first and second coordinates, calculate third coordinates indicating a location of the target object with respect to the reference point, and store the calculated third coordinates in the memory.

Abstract: An object tracking method and apparatus are provided. The object tracking method includes detecting a target object in a first-type input image that is based on light in a first wavelength band, tracking the target object in the first-type input image based on detection information of the target object, measuring a reliability of the first-type input image by comparing the first-type image to an image in a database, comparing the reliability of the first-type input image to a threshold, and tracking the target object in a second-type input image that is based on light in a second wavelength band.

Abstract: A system and method includes detecting motion in a space; capturing images of a scene in a direction of the motion within the space by peripheral image capturing devices and detecting a body of a person within the images of the scene; extracting an image of the body from the images of the scene; identifying a head of the body based on the extracted at least one image of the body and extracting an image of a head from the extracted the one image of the body; transmitting the one image of the body to a body tracking module; transmitting the extracted image of the head to a face detection module; in parallel, tracking the body within the space and performing by a facial recognition module facial recognition of the extracted image of the head of the body; and determining an identity of a user associated with the body.

Abstract: An imaging system includes a plurality of cameras capable of capturing actual images. Of the plurality of cameras, a first camera detects first motion information about a main object. The second camera detects second motion information about the main object. The first camera determines motion information to be used based on the first motion information and the second motion information.