52nd week of 2018 patent applcation highlights part 57 |
Patent application number | Title | Published |
20180373916 | FINGERPRINT IDENTIFICATION DEVICE WITH SUPPLEMENTARY LIGHT SOURCE AND MOBILE DEVICE USING THE SAME - A fingerprint identification device with supplementary light source and a mobile device using the same are provided in the present invention. The fingerprint identification device includes a substrate, an image sensing integrated circuit and a specific wavelength light-emitting diode (LED). The image sensing integrated circuit disposed on the substrate receives a fingerprint image. The specific wavelength LED is disposed on the substrate in a form of a side view LED package, is coupled to the image sensing integrated circuit, and emits specific wavelength light. A specific wavelength penetrable package mold has a specific angle bevel relative to a horizontal surface of the substrate and reflects the specific wavelength light emitted from a specific wavelength LED die, such that the specific wavelength light is reflected to an upper side relative to the substrate. | 2018-12-27 |
20180373917 | BIOMETRIC ENROLLMENT USING A DISPLAY - A method, system, and non-transitory computer readable medium for in-display fingerprint enrollment that may include receiving an indication to begin a fingerprint enrollment process on an electronic device with an in-display fingerprint sensor; displaying a first fingerprint enrollment shape over the in-display fingerprint sensor; and receiving, in response to displaying the first fingerprint enrollment shape and via a first user interaction, a first portion of fingerprint data. Embodiments may also include generating, in part, a fingerprint coverage map corresponding to the fingerprint using the first portion of the fingerprint data; displaying a second fingerprint enrollment shape over the in-display fingerprint sensor; receiving, in response to displaying the second fingerprint enrollment shape and via a second user interaction, a second portion of fingerprint data; and updating the fingerprint coverage map corresponding to the fingerprint using the second portion of the fingerprint data. | 2018-12-27 |
20180373918 | FINGERPRINT IDENTIFICATION APPARATUS AND MANUFACTURING METHOD THEREOF, DISPLAY DEVICE - The present disclosure provides a fingerprint identification apparatus and a manufacturing method thereof, as well as a display device comprising the fingerprint identification apparatus. The fingerprint identification apparatus comprises a plurality of identification elements, each comprising a first identification unit. The first identification unit comprises a first temperature sensitive hydrophilic/hydrophobic conversion layer, a lower electrode, a sealing layer, an electrically conductive droplet sandwiched between the first temperature sensitive hydrophilic-hydrophobic conversion layer and the lower electrode and enclosed by the sealing layer, and an upper electrode that is at least partially immersed in the electrically conductive droplet and is not in direct contact with the lower electrode. | 2018-12-27 |
20180373919 | Fingerprint Lock Control Method and Fingerprint Lock System - The invention provides a fingerprint lock control method and a fingerprint lock system. The system at least comprises a fingerprint lock, a server and an electronic device. The method comprises: scanning an identification code of a current fingerprint lock and uploading the identification code of the current fingerprint lock by the electronic device to the server, such that the current fingerprint lock is bound to account information of a user; collecting current fingerprint information of the user by a fingerprint reader on the current fingerprint lock; receiving a fingerprint information template of the user transmitted by the server by the electronic device; determining if the current fingerprint information matches the fingerprint information template; controlling and opening the current fingerprint lock, if yes. In the invention, the user don't need register repeatedly on the fingerprint locks, the unlocking procedure can be simplified and unlocking time can be saved significantly. | 2018-12-27 |
20180373920 | CONTROLLING METHOD AND ELECTRONIC DEVICE - A controlling method includes acquiring induction information of an operation body at a fingerprint collection region, determining, based on the induction information, a target collection region for collecting fingerprint corresponding to the operation body, and enabling sensors corresponding to the target collection region. The target collection region is a sub-region of the fingerprint collection region. | 2018-12-27 |
20180373921 | LABEL-FREE DIGITAL BRIGHTFIELD ANALYSIS OF NUCLEIC ACID AMPLIFICATION - An optical readout method for detecting a precipitate (e.g., a precipitate generated from the LAMP reaction) contained within a droplet includes generating a plurality of droplets, at least some which have a precipitate contained therein. The droplets are imaged using a brightfield imaging device. The image is subject to image processing using image processing software executed on a computing device. Image processing isolates individual droplets in the image and performs feature detection within the isolated droplets. Keypoints and information related thereto are extracted from the detected features within the isolated droplets. The keypoints are subject to a clustering operation to generate a plurality of visual “words.” The word frequency obtained for each droplet is input into a trained machine learning droplet classifier, wherein the trained machine learning droplet classifier classifies each droplet as positive for the precipitate or negative for the precipitate. | 2018-12-27 |
20180373922 | FACIAL GESTURE CAPTCHA - Various systems and methods for implementing a facial gesture-based CAPTCHA are described herein. A system for securing a resource comprises a presentation module to present on a display of the system, a facial gesture challenge prompt to a user; an image processor to: obtain an image from a camera coupled to the compute device, the image including a facial expression of the user; and obtain analysis of the image, the analysis to determine whether the facial expression matches the facial gesture challenge prompt; and wherein the presentation module is to provide an indication to the user of whether the facial expression matches the facial gesture challenge prompt. | 2018-12-27 |
20180373923 | SPOOFING DETECTION IN IMAGE BIOMETRICS - System and techniques for spoofing detection in image biometrics are described herein. A sequence of images may be obtained from a camera; a first plurality of images in the sequence of images including a representation of a user body part, and a second plurality of images in the sequence of images including a representation of an environment of the user. A marker may be created for the representation of the body part. A feature of the environment of the user present during the second plurality of images may be identified in the sequence of images using a third group of circuits. A correlation between the marker and the feature of the environment in the sequence of images may be quantified to produce a synchronicity metric of the degree to which the marker and the feature of the environment correlate. | 2018-12-27 |
20180373924 | FACIAL VERIFICATION METHOD AND APPARATUS - Disclosed is a facial verification apparatus and method. The facial verification apparatus is configured to detect a face area of a user from an obtained input image, generate a plurality of image patches, differently including respective portions of the detected face area, based on a consideration of an image patch set determination criterion with respect to the detected face area, extract a feature value corresponding to a face of the user based on an image patch set including the generated plurality of image patches, determine whether a facial verification is successful based on the extracted feature value, and indicate a result of the determination of whether the facial verification is successful. | 2018-12-27 |
20180373925 | SUBJECT IDENTIFICATION SYSTEMS AND METHODS - Disclosed techniques relate to identifying subjects in digital images. In various embodiments, digital image(s) that depict a subject in an area may be acquired. Portion(s) of the digital image(s) that depict a face of the subject may be detected as detected face image(s). Features of each of the detected face image(s) may be compared with features of each of a set of subject reference templates associated with a given subject in a subject reference database. Based on the comparing, a subject reference template may be selected from the set of subject reference templates associated with the given subject. Similarity measure(s) may then be determined between a given detected face image of the detected face image(s) and the selected subject reference template. An identity of the subject may be determined based on the similarity measure(s). | 2018-12-27 |
20180373926 | EXERCISE ANALYSIS APPARATUS, EXERCISE ANALYSIS METHOD, EXERCISE ANALYSIS PROGRAM, AND EXERCISE ANALYSIS SYSTEM - An exercise analysis apparatus includes a feature point detection unit that detects a feature point in a user's running by using a detection result from an inertial sensor, and an exercise information generation unit that analyzes the user's running with a timing at which the feature point detection unit detects the feature point as a reference by using the detection result from the inertial sensor, so as to generate exercise information of the user. | 2018-12-27 |
20180373927 | ELECTRONIC DEVICE AND GESTURE RECOGNITION METHOD APPLIED THEREIN - An electronic device, which can recognize and be controlled by a gesture of a hand, obtains an image that comprises the hand and image depth levels of objects within the image. Static objects are filtered from the image. A first establishing module obtains hand coordinate information and establishes a first block comprising the hand. Modules further obtain a depth level of each pixel of the first block and counts the number of pixels of each depth level. A second establishing module obtains hand depth information according to the counting result and establishes a second block including the hand. A recognizing module detects a moving track of the hand in the second block and recognizes a gesture of the hand according to a library of gestures. A gesture recognition method is also provided. | 2018-12-27 |
20180373928 | LINKED OBSERVED HUMAN ACTIVITY ON VIDEO TO A USER ACCOUNT - A system and method for linking observed human activity on video to a user account of a preferred embodiment that includes: through a computer vision monitoring system, detecting and tracking a human as a computer vision modeled person within an environment, the computer vision monitoring system being part of a computing platform managing a user interaction experience; through at least one associative mechanism, establishing an association between the computer vision modeled person and at least one associative element and thereby associating the computer vision modeled person and a user-record linked through the associative element; and directing the user interaction experience at least in part based on the combination of the modeled person and at least the user-record. | 2018-12-27 |
20180373929 | Method and apparatus for comparing objects in images - A method of comparing objects in images. A dictionary determined from a plurality of feature vectors formed from a test image and codes formed by applying the dictionary to the feature vectors is received, the dictionary being based on a difference in mean values between the codes. Comparison codes are determined for the objects in the images by applying the dictionary to feature vectors of the objects in the images. The objects in the images are compared based on the comparison codes of the objects. | 2018-12-27 |
20180373930 | METHOD FOR ELECTRONIC DEVICE ACQUIRING IRIS AND ELECTRONIC DEVICE - An iris acquisition method for an electronic device is provided. The electronic device includes an iris camera and a proximity sensor. The proximity sensor includes an infrared ray emitter and an infrared ray receiver. The iris acquisition method includes: emitting a proximity infrared ray for detecting a proximity state by the infrared ray emitter; receiving the proximity infrared ray reflected from an external object by the infrared ray receiver; and upon the reception of the reflected proximity infrared ray by the infrared ray receiver, changing a transmitting power of the infrared ray emitter, so that the iris camera acquires iris information of an user. | 2018-12-27 |
20180373931 | IMAGE RECOGNITION SYSTEM FOR ROOF DAMAGE DETECTION AND MANAGEMENT - Certain aspects of the present disclosure relate to methods and apparatus for applying image analysis and machine learning algorithms to a collection of 2-D aerial images into one or more of a claims report. For example, a method may include generating an insurance analytics project based on a user input, acquiring image data of the structure based on the insurance analytics project, generating a 3-D model of the structure based on the image data, calculating measurements of the structure based on the 3-D model and image data, detecting one or more features of the structure using one or more of the measurements, the 3-D model, and the image data, and generating a report based on one or more of the user input, the image data, the 3-D model, the measurements, and the one or more features. | 2018-12-27 |
20180373932 | METHOD AND SYSTEM FOR CROP RECOGNITION AND BOUNDARY DELINEATION - A computer-implemented method for determining farm boundary delineations within a target geographic area, comprising extracting data from pixels of a satellite image of the target geographic area, evaluating the data using a classification algorithm to generate one or more line segments between adjacent pixels, the one or more line segments being representative of a portion of a boundary delineation, connecting the one or more line segments to an adjacent line segment to form a boundary delineation defining at least one parcel of land within the target geographic area, and generating a boundary delineation map including the boundary delineation. | 2018-12-27 |
20180373933 | SYSTEM FOR GENERATING 3D IMAGES FOR IMAGE RECOGNITION BASED POSITIONING - A method positioning user equipment including a camera for acquiring digital images, including: defining a three-dimensional model of an environment through points defined by a set of coordinates and a color information; the user equipment acquiring a query image by capturing, by the camera, a portion of the environment; estimating an initial camera parameters configuration of the camera; evaluating a similarity between the query image and an initial three-dimensional image obtained from the three-dimensional model of the environment as seen by a virtual camera having the initial camera parameters configuration; modifying a camera parameters configuration of the virtual camera to increase similarity between the initial three-dimensional image and the query image up to a predetermined value; and generating an additional three-dimensional image based on the three-dimensional model of the environment, obtained from the three-dimensional model of the environment as seen by a modified virtual camera having the modified camera parameters configuration. | 2018-12-27 |
20180373934 | EFFICIENT IMAGE ANALYSIS - Methods, systems, and apparatus for efficient image analysis. In some aspects, a system includes a camera configured to capture images, one or more environment sensors configured to detect movement of the camera, a data processing apparatus, and a memory storage apparatus in data communication with the data processing apparatus. The data processing apparatus can access, for each of a multitude of images captured by a mobile device camera, data indicative of movement of the camera at a time at which the camera captured the image. The data processing apparatus can also select, from the images, a particular image for analysis based on the data indicative of the movement of the camera for each image, analyze the particular image to recognize one or more objects depicted in the particular image, and present content related to the one or more recognized objects. | 2018-12-27 |
20180373935 | IMAGE CAPTURING SYSTEM - An image capturing system includes: an information processing apparatus that includes a display-board-image generator | 2018-12-27 |
20180373936 | MOBILE TERMINAL AND METHOD FOR CONTROLLING THE SAME - The present disclosure may include a mobile terminal and a control method thereof, and the mobile terminal may include a display unit configured to display a map image in a predetermined range around a predetermined point; a wireless communication unit configured to receive at least one carsharing schedule set within the predetermined range from a server; and a controller configured to control the display unit so that a graphic object corresponding to the carsharing schedule is displayed on the map image when the carsharing schedule is received, wherein the controller controls the display unit so that the graphic object disappears when a predetermined time is left from a departure time of the carsharing schedule. | 2018-12-27 |
20180373937 | METHODS AND SYSTEMS FOR AUTOMATED MICRO FARMING - System and methods for farming of crops on a plant-by-plant basis are disclosed. Plants are imaged and data is acquired on a plant-by-plant basis, which enables the visual micro management of a crop field on a plant-by-plant basis. Past and current images of a plant may be displayed in a manner that allows plants to be diagnosed and maintained. In some embodiments, images of an individual plant and instructions for maintenance are automatically displayed to a field work in real-time as the worker is in the proximity of the plant. Techniques described herein can be used in the field or during the harvest process including sorting tables or sorting conveyor belts. This can be done via signage, bar codes or RFID tags or other unique plant identifier technique. This approach compresses the acquired data and automatically selects and displays relevant information to a specific fruit or plant. | 2018-12-27 |
20180373938 | METHOD AND SYSTEM FOR LIVE DETERMINING OF A SPORTS DEVICE - A method for live determining of a sports device by a system with a position monitoring system, a user device, and a central server device. The method has the following steps: determining a live position of a sports device in the region of a sports arena during a competition by the position monitoring system; during the competition, the sports device moves in the area of the sports arena according to the competition; detecting a user input via the user device; and, in the central server device; providing live position data for the sports device, providing position data for the sports device; providing test data indicating a test criterion assigned to the user-defined position selection; and determining whether the test criterion is satisfied, wherein the live position data and position data for the sports device are compared. Furthermore, the invention relates to a system for live determining of a sports device. | 2018-12-27 |
20180373939 | GENERATION OF VIDEO HASH - To generate a hash in video, a sample series of temporal difference samples is forming image order. A temporal averaging is performed and a rate of change detected to identify as distinctive events regions of high rate of change. Images having a distinctive event are labelled as distinctive images. For each image, the temporal spacing in images is calculated between that image other distinctive images to provide a set of temporal spacings for that image; and a hash is derived for that image from that set of temporal spacings. | 2018-12-27 |
20180373940 | Image Location Through Large Object Detection - Camera pose optimization, which includes determining the position and orientation of a camera in three-dimensional space at different times, is improved by detecting a higher-confidence reference object in the photographs captured by the camera and using the object to increase consistency and accuracy of pose data. Higher-confidence reference objects include objects that are stationary, fixed, easily recognized, and relatively large. In one embodiment, street level photographs of a geographic area are collected by a vehicle with a camera. The captured images are geo-coded using GPS data, which may be inaccurate. The vehicle drives in a loop and captures the same reference object multiple times from the substantially same position. The trajectory of the vehicle is then closed by aligning the points of multiple images where the trajectory crosses itself. This creates an additional constraint on the pose data, which in turn improves the data's consistency and accuracy. | 2018-12-27 |
20180373941 | METHOD, APPARATUS, AND SYSTEM FOR ESTIMATING A QUALITY OF LANE FEATURES OF A ROADWAY - An approach is provided for estimating a quality of lane features of a roadway. The approach involves processing, by a computer vision system, an input image to detect the lane features of the roadway. The approach also involves determining respective confidence values associated with a plurality of regions of the input image used to detect the lane features. The respective confidence values represent a probability of predicting the lane features from each of the plurality of regions. The approach further involves performing a classification of the plurality of regions into a plurality of confidence levels based on the respective confidence values. The approach further involves determining the estimated quality of the lane features based on the classification of the plurality of regions. | 2018-12-27 |
20180373942 | OBJECT DETECTING APPARATUS, OBJECT DETECTING METHOD, AND COMPUTER PROGRAM PRODUCT - According to an embodiment, an object detecting apparatus includes a detecting unit and a non-linear processing unit. The detecting unit is configured to detect one or more object-candidate regions from a captured image. The non-linear processing unit is configured to input the entire captured image or a part of the captured image at least including the object-candidate region to a neural network having been trained to estimate the posture of an object in the object-candidate region and the distance to the object simultaneously, and output object information at least including information on the distance to the object, using an output from the neural network. | 2018-12-27 |
20180373943 | COMPUTER IMPLEMENTED DETECTING METHOD, COMPUTER IMPLEMENTED LEARNING METHOD, DETECTING APPARATUS, LEARNING APPARATUS, DETECTING SYSTEM, AND RECORDING MEDIUM - A moving body detecting method for, by means of at least one computer, detecting a target moving body that is a moving body which possibly constitutes an obstacle to running of a target vehicle includes acquiring a photographed image that is generated by photographing with a camera situated on board the target vehicle. Next, the photographed image is inputted as input data into a recognition model for recognizing a moving body in an image taken of the moving body, type information indicating a type of the moving body, and position information indicating that one of a plurality of positions including a sidewalk and a roadway in which the moving body is present. Then, the target moving body in the photographed image is detected by acquiring the type information and position information of the moving body in the photographed image as outputted from the recognition model. | 2018-12-27 |
20180373944 | OPTICAL TEST DEVICE FOR A VEHICLE CAMERA AND TESTING METHOD - A system for testing a camera for vision system for a vehicle includes providing a camera having a field of view and providing and disposing a test structure in the field of view of the camera and between the camera and a target. The test structure includes at least one optic and is capable of directing a principal axis of the at least one optic toward multiple respective regions of the target. The camera views the target via the at least one optic. Image data is captured with the camera. The captured image data is representative of images of the target including the multiple regions of the target as captured when the at least one optic has its principal axis directed toward the respective regions of the target. The image data captured by the camera is processed to determine the focus at each of the multiple regions of the target. | 2018-12-27 |
20180373945 | BIO-SENSING APPARATUS - A bio-sensing apparatus is used to sense a biopolymer. The bio-sensing apparatus includes a sensing element, a light-transmitting element and a surface plasma resonance layer. The bio-sensing apparatus is disposed on the sensing element. The surface plasma resonance layer is disposed on the light-transmitting element, and is used to receive the biopolymer. The light-transmitting element is disposed between the surface plasma resonance layer and the sensing element. | 2018-12-27 |
20180373946 | MULTI-STAGE TATTOO MATCHING TECHNIQUES - In some implementations, systems and techniques are capable of performing a multi-stage tattoo matching operation to improve matching accuracy for various tattoo images—namely small tattoo images, distorted tattoo images, low-quality tattoo images. The multi-stage tattoo matching operation described throughout includes two matching stages that compare a search tattoo image against a set of reference tattoo images. In the first matching stage, the system can use scale invariant feature transform (SIFT) descriptors, or other similar types of local descriptors, to identify a list of best-matched reference tattoo images from among the set of reference tattoo images. In the second matching stage, the system uses enhanced tattoo matching techniques to verify the non-matched points and determine whether their associated areas are matched or not. | 2018-12-27 |
20180373947 | METHOD FOR LEARNING TEXT RECOGNITION, METHOD FOR RECOGNIZING TEXT USING THE SAME, AND APPARATUS FOR LEARNING TEXT RECOGNITION, APPARATUS FOR RECOGNIZING TEXT USING THE SAME - A method for learning parameters used to recognize characters included in a text in a scene text image of training set is provided. The method includes steps of: (a) a training apparatus generating each feature vector corresponding to each of the segmented character images; (b) the training apparatus processing feature vectors c | 2018-12-27 |
20180373948 | IMAGE CAPTURING DEVICE AND IMAGE CAPTURING METHOD - An image capturing device includes an image capturing unit, a light filter module, a light sensing unit, an infrared light source and a processing unit. The light filter module includes a first light filter and a second light filter. The first light filter filters an infrared and allows a visible light to pass. The second light filter filters a visible light and allows an infrared to pass. The light sensing unit senses an environmental light. When the processing unit determines that an intensity of the environmental light is higher than a threshold, the processing unit alternately switches the first light filter and the second light filter to a front of the image capturing unit, controls the image capturing unit to capture a visible light image through the first light filter, and controls the image capturing unit to capture an infrared image through the second light filter. | 2018-12-27 |
20180373949 | IDENTIFICATION METHOD AND ELECTRONIC DEVICE - An identification method and an electronic device are provided. The identification method comprises: detecting at least one object using the electronic device; providing an identification box having a first appearance which corresponds with the at least one object as detected; and displaying the identification box having the first appearance via the electronic device. | 2018-12-27 |
20180373950 | Systems and Methods for Fast Identification and Processing of an Image Area of Interest - Systems and methods are provided for a data acquisition system. An image capture device is configured to capture image data, where the captured image includes data associated with the image, where the pixel data includes visible light pixel data and non-visible light pixel data. A fiducial locator is configured to identify an area of interest of the image based on fiducials in the image detected through analysis of the non-visible light pixel data. An image processor is configured to extract data from the area of interest of the image based on the visible light pixel data while ignoring other portions of the image. | 2018-12-27 |
20180373951 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM - The image processing apparatus includes: a format conversion unit configured to convert an image in a first format into an image in a second format whose amount of information indicating image quality characteristics is reduced compared to that of the image in the first format; a detection unit configured to detect a partial region in the image in the second format; an inverse conversion unit configured to inversely convert region information representing the detected partial region into region information corresponding to the first format; and an extraction unit configured to extract a partial image in the first format by using the inversely converted region information. | 2018-12-27 |
20180373952 | AUTOMATED WORKFLOWS FOR IDENTIFICATION OF READING ORDER FROM TEXT SEGMENTS USING PROBABILISTIC LANGUAGE MODELS - The present invention is directed towards providing automated workflows for the identification of a reading order from text segments extracted from a document. Ordering the text segments is based on trained natural language models. In some embodiments, the workflows are enabled to perform a method for identifying a sequence associated with a portable document. The methods includes iteratively generating a probabilistic language model, receiving the portable document, and selectively extracting features (such as but not limited to text segments) from the document. The method may generate pairs of features (or feature pair from the extracted features). The method may further generate a score for each of the pairs based on the probabilistic language model and determine an order to features based on the scores. The method may provide the extracted features in the determined order. | 2018-12-27 |
20180373953 | OBJECT RECOGNITION BASED ON HIERARCHICAL DOMAIN-BASED MODELS - A method, a device, and a non-transitory storage medium each provide an object recognition service that identifies an object within an image or a video. An object is identified according to a general classification based on a domain-based inference model, and is subsequently further identified according to a sub-classification of the general classification based on another domain-based inference model. The domain-based inference models are hierarchical. The object recognition of the object may be used in support of end user services. | 2018-12-27 |
20180373954 | Intelligent whiteboard collaboratio systems and methods - Systems and methods are provided for capturing time-stamped data from whiteboard video signals and producing high-resolution whiteboard images. Local patches around a multitude of pixels in the whiteboard are used in classifying background white pixels and foreground color pixels for each foreground marker color. Clustering is performed in alternative color spaces globally and locally in defining background white and each foreground marker color. Color normalization is performed for each foreground pixel classified as a foreground marker color and for each image sensor color plane separately utilizing the maximum local background white and the darkest pixel intensities in local patches. Strokes are reconstructed based on spline interpolation of inflection points of cross sections along the length of each stroke for a foreground marker color with a predetermined width. Also provided is an intelligent whiteboard collaboration system including a messaging utility whereby participants based on relevant biometrics information are enabled to access time-lapse whiteboard data and communicate with the system and other participants. | 2018-12-27 |
20180373955 | LEVERAGING CAPTIONS TO LEARN A GLOBAL VISUAL REPRESENTATION FOR SEMANTIC RETRIEVAL - Similar images are identified by semantically matching human-supplied text captions accompanying training images. An image representation function is trained to produce similar vectors for similar images according to this similarity. The trained function is applied to non-training second images in a different database to produce second vectors. This trained function does not require the second images to contain captions. A query image is matched to the second images by applying the trained function to the query image to produce a query vector, and the second images are ranked based on how closely the second vectors match the query vector, and the top ranking ones of the second images are output as a response to the query image. | 2018-12-27 |
20180373956 | DATAFLOW CONTROL APPARATUS AND DATAFLOW CONTROL METHOD - A dataflow control apparatus extracts a device capable of providing data that satisfies requirements of an application by matching device-side metadata and app-side metadata. The device-side metadata is capable of describing information indicating a history of data that a device provides, and the app-side metadata is capable of describing information indicating a history of data that an application requires. The dataflow control apparatus, in a case where the information indicating the history is described in the app-side metadata, extracts a device capable of providing data that satisfies at least both the specification and the history that the application requires from among a plurality of the devices. | 2018-12-27 |
20180373957 | METHOD FOR GENERATING A CUSTOMIZED/PERSONALIZED HEAD RELATED TRANSFER FUNCTION - There is provided a method for generating a personalized Head Related Transfer Function (HRTF). The method can include capturing an image of an ear using a portable device, auto-scaling the captured image to determine physical geometries of the ear and obtaining a personalized HRTF based on the determined physical geometries of the ear. | 2018-12-27 |
20180373958 | Method and System for Implementing Image Authentication for Authenticating Persons or Items - Novel tools and techniques are provided for implementing image authentication for authenticating persons or items. In various embodiments, a computing system might receive an image (or video stream) from an optical sensor device, might extract image regions from each received image (or each image frame from each image stream), might analyze each image region to identify one or more spatial relationships amongst pixels (and/or groups of pixels) in each image region, might compare each identified spatial relationship amongst (groups of) pixels in each image region with a plurality of spatial relationships amongst (groups of) pixels that are characteristic of particular image artifacts (whether known and/or machine-learned), and might generate authenticity values and/or results for the image based at least in part on results of the analysis and the comparison. The computing system might also analyze a plurality of authentic and inauthentic images to identify distinctions between authentic and inauthentic images. | 2018-12-27 |
20180373959 | METHODS FOR OBJECT RECOGNITION AND RELATED ARRANGEMENTS - Methods and arrangements involving portable user devices such smartphones and wearable electronic devices are disclosed, as well as other devices and sensors distributed within an ambient environment. Some arrangements enable a user to perform an object recognition process in a computationally- and time-efficient manner. Other arrangements enable users and other entities to, either individually or cooperatively, register or enroll physical objects into one or more object registries on which an object recognition process can be performed. Still other arrangements enable users and other entities to, either individually or cooperatively, associate registered or enrolled objects with one or more items of metadata. A great variety of other features and arrangements are also detailed. | 2018-12-27 |
20180373960 | TRADEMARK GRAPH ELEMENT IDENTIFICATION METHOD, APPARATUS AND SYSTEM, AND COMPUTER STORAGE MEDIUM - A method for trademark figurative element identification is disclosed, including: establishing a sample trademark library and establishing a corresponding relationship between sample trademarks and division data for figurative element codes of known filed/registered figurative trademarks; extracting and processing image feature information of the sample trademarks, and establishing a corresponding relationship between the sample trademarks and the extracted image feature information; extracting and processing image feature information of a trademark to be identified; performing a matching retrieval by taking the image feature information of the trademark to be identified as a retrieval condition, and finding out a sample trademark with a highest similarity degree to the image feature information of the trademark to be identified, and a corresponding trademark figurative element code; outputting the trademark figurative element code corresponding to the sample trademark as a figurative element code of the trademark to be identified. By means of the method, the trademark figurative element codes of a figurative trademark can be automatically divided. | 2018-12-27 |
20180373961 | SYSTEM AND METHOD FOR DEPLOYING GRAPHICAL DIAGRAM TOPOLOGIES - Techniques disclosed herein provide an approach for automatically importing graphical topologies and deploying the same. In one embodiment, a topology importer tool uses a trained machine learning model to detect and classify objects in an image depicting a topology. The topology importer distinguishes between software (or hardware) components in the detected objects and properties of those components. In particular, the topology importer may determine a property is associated with a component based on an overlap between objects representing the property and the component, a distance between the objects representing the property and the component, or a learned model. The topology importer determines relationships between components in a similar manner, as well as based on detected links represented by objects between components indicating those components are connected. The topology importer further converts the topology to a format understood by an application which may then deploy the topology. | 2018-12-27 |
20180373962 | method and apparatus for determining similarity of objects in images - A method of determining similarity of objects in images. Feature vectors are determined for objects in images captured by cameras operating in a training domain. Feature vectors are determined for the objects in images captured by cameras operating in a target domain, the cameras of the target domain operating with different environmental factors to the cameras of the training domain. A mapping is determined for a difference in the feature vectors of the training domain and the target domain. The difference in the feature vectors of the training domain and the target domain is converted to a matching space by applying the determined mapping to the feature vectors of the training domain and the target domain. A classifier is determined using data associated with the feature vectors of the training domain in the matching space. A similarity of the objects in the images captured in the target domain is determined using a difference of feature vectors for the objects by applying the classifier to the feature vectors of the objects in the matching space. | 2018-12-27 |
20180373963 | RARE INSTANCE CLASSIFIERS - In some implementations, an image classification system of an autonomous or semi-autonomous vehicle is capable of improving multi-object classification by reducing repeated incorrect classification of objects that are considered rarely occurring objects. The system can include a common instance classifier that is trained to identify and recognize general objects (e.g., commonly occurring objects and rarely occurring objects) as belonging to specified object categories, and a rare instance classifier that is trained to compute one or more rarity scores representing likelihoods that an input image is correctly classified by the common instance classifier. The output of the rare instance classifier can be used to adjust the classification output of the common instance classifier such that the likelihood of input images being incorrectly classified is reduced. | 2018-12-27 |
20180373964 | INFORMATION PROCESSING APPARATUS AND PROCESSING METHOD FOR IMAGE DATA - Provided is an information processing apparatus configured to convert image data that has been input into saved data to save in a storage unit and reproduce the image data from the saved data. The information processing apparatus includes: an encoder unit configured to convert the image data into the saved data; and a decoder unit configured to reproduce the saved data as the image data. The encoder unit includes: a recognition unit configured to generate class tag information from the image data that has been input; a segmentation unit configured to generate region information that distinguishes a recognition target region and a background region from the image data that has been input; and a region separation unit configured to generate a background image according to the background region from the image data that has been input based on the region information. | 2018-12-27 |
20180373965 | Method and Apparatus for Generating a Response Based on Artificial Intelligence, and Storage Medium - A method and apparatus for generating a response based on artificial intelligence, and a storage medium. The method comprises: generating a response forest which employs a multi-way tree data structure, the multi-way tree at least comprising three layers of nodes: a root node, domain nodes and role nodes arranged in a top-bottom order, each leaf node respectively corresponding to at least one response template corresponding to information on the leaf node path; obtaining a user question, searching the response forest according to the user question to obtain a leaf node corresponding to the user question, and regarding a response template corresponding to the obtained leaf node as a candidate response template; generating a to-be-broadcast response according to the user question and the candidate response template, and broadcasting the to-be-broadcast response to the user. The solution of the present disclosure exhibits wide applicability and can improve the response broadcasting effect. | 2018-12-27 |
20180373966 | SYSTEM AND METHOD FOR CONTROLLING MACHINE POSE USING SENSOR FUSION - A method of controlling machine pose using sensor fusion includes receiving, with at least one processor, from each of a plurality of Inertial Measurement Units (IMU's) mounted on different components of the machine, a time series of signals indicative of acceleration and angular rate of motion measurements for each of the components of the machine on which one or more of the plurality of IMU's are mounted, and from at least one non-IMU sensor, a signal indicative of at least one of position, velocity, or acceleration of at least one of the machine components, a position, velocity, or acceleration of any potential obstacles or other features at a job site where the machine is operating, or an operator input. For each one of the IMU's on a separate component of the machine, the signals received from the IMU are fused with a separate Kalman filter module by combining an acceleration measurement and an angular rate of motion measurement from the IMU to estimate an output joint angle for the component of the machine on which the IMU is mounted. Estimated and measured values of the output joint angle for the component in successive timesteps are combined, a kinematic equation is solved to determine a real time value for at least one of position, velocity, and acceleration of the machine component at successive timesteps, and the determined real time value is applied in an implementation of a controlled operational movement of the machine component in a successive time step to a position and orientation resulting in at least one of an improvement in machine footing, machine stability, productivity based on positioning of a machine component, reliability based on positioning of a machine component, and efficiency of the machine operations as compared to an operational movement of each machine component in a previous time step before the application of the determined real time value. | 2018-12-27 |
20180373967 | COLOR PATCH LAYOUT DETERMINATION - A color test pattern comprising color patches can be printed together with an image (text and/or a pictures, for example) of a print job. After printing, reflections, known as flare, from the image may adversely affect measurements taken of the color patches. To help reduce the effects of flare, a determination is made prior to printing as to the layout of the color patches. The determination involves comparing the color properties of the color patches with those of the image. | 2018-12-27 |
20180373968 | ROLL-FED PRINTING APPARATUS, SOFTWARE MEDIUM, AND METHOD FOR CONTROLLING A ROLL-FED PRINTING APPARATUS - A roll-fed printing apparatus for printing at least a first and a second image on a recording medium, a method for controlling such a printing apparatus and a software medium are disclosed. According to the method, each swath is printed by a print head that reciprocates in a scanning direction, the print head being controlled to apply marking material to the recording medium in accordance with a first set of image lines for each swath to be printed; the first set of image lines being provided to the print head from a swath buffer; wherein the first set of image lines are transmitted to the swath buffer out of a second set of image lines stored in a line buffer to be printed without interruption; wherein, when the line buffer comprises the final image lines of a first bitmap representing the first image while there are still empty data storage sections within the line buffer starting image lines of a second bitmap representing the second image are transferred to the empty data storage section of the line buffer. | 2018-12-27 |
20180373969 | METHODS AND SYSTEMS FOR HIGH DENSITY RFID PART SCANNING - A method for high density radio frequency identifier (RFID) scanning is provided. The method includes receiving a plurality of response signals from a plurality of RFID components. Where each of the plurality of response signals includes a part number and a serial number associated with the RFID component. The method also includes receiving, from a location device, a location of the scanning device. For each of the plurality of RFID components, the method includes determining a component location, the serial number, and the part number based on a corresponding response signal, comparing the component location to an expected location of the RFID component, determining a level of correlation between the serial number associated with the corresponding response signal and a stored serial number associated with the part number, and calculating a confidence score based on the corresponding comparison and the level of correlation. | 2018-12-27 |
20180373970 | RADIOFREQUENCY DEVICE WITH ADJUSTABLE LC CIRCUIT COMPRISING AN ELECTRICAL AND/OR ELECTRONIC MODULE - Radiofrequency device with adjustable LC circuit comprising an electrical and/or electronic module. The invention relates to a communication device with a radio-frequency chip, said device comprising -an insulating support layer, -an electrical and/or electronic radiofrequency circuit on said insulating layer, said circuit comprising plates of an adjustable capacitor and/or an antenna spiral with adjustable inductance, -at least one element for adjusting a tuning frequency of the radiofrequency circuit. The device is distinguished in that said plates and/or spiral are included in an electrical and/or electronic chip card module, and in that said adjusting element connects an intermediate point of the spiral so as to decrease the available inductance and/or splits or links the plates so as to adjust the capacitance. | 2018-12-27 |
20180373971 | METHOD FOR PROVIDING RANDOM COMBINATION STATUS CODE FOR COMMODITY - The present invention provides a method for providing a random combination status code for a commodity, comprising parts A and B provided on a commodity and corresponding circuit components. The parts A and B have particular joint surfaces, and their respective joint surfaces have conductive geometric patterns made of a conductive material; the combination of these patterns reflects the on/off of a circuit, thereby generating potential signals which record and transmit information by means of other circuit components. In this coding method, different storage statuses of a commodity can be distinguished according to status bit information sent by the commodity. The method can be widely used in commodity packaging, and can achieve good effects in managing commodity circulation, quality and safety. | 2018-12-27 |
20180373972 | ELECTRONIC LABEL - Systems and methods are disclosed for an electronic label system. An electronic label may include a reflective component configured to reflect light transmitted by a light source. The electronic label may also include a light blocking device configured. The light blocking device may prevent at least a portion of the light transmitted by the light source from reaching the reflective component when in a first configuration. The light blocking device may also allow the light transmitted by the light source to reach the reflective component when in a second configuration. The electronic label also includes a processing device configured to control operation of the light blocking device. The light blocking device further includes a power generation device configured to generate power for the light blocking device and the processing device. | 2018-12-27 |
20180373973 | MINIATURIZED RADIO FREQUENCY IDENTIFICATION TAG - The invention provides a miniaturized radio frequency identification tag, which comprises a radio frequency identification chip and an antenna. The antenna comprises a plurality of loop antenna line segments. Each of loop antenna line segments is disposed on a corresponding insulating layer, and electrically connected to the radio frequency identification chip or the other loop antenna line segment via a corresponding conductive through hole. Accordingly, the structure of the antenna is fabricated by multi-layer loop antenna line segments so as to reduce the size of the radio frequency identification tag, effectively. | 2018-12-27 |
20180373974 | ENHANCED VISUAL DIALOG SYSTEM FOR INTELLIGENT TUTORS - Systems, methods, and computer program products to perform an operation comprising receiving text input via a chat interface of a tutor application, identifying, by at least one classifier applied to the text input, a concept in the text input, mapping the concept in the text input to at least one of a visual action and a first visual object, generating, based on a first machine learning (ML) model, a first program code statement corresponding to the at least one of the visual action and the first visual object, and executing the first program code statement to modify a visualization interface of the tutor application based on the text input received via the chat interface. | 2018-12-27 |
20180373975 | SYSTEMS AND DEVICES FOR COMPRESSING NEURAL NETWORK PARAMETERS - Subject matter disclosed herein may relate to storage and/or processing of signals and/or states representative of neural network parameters in a computing device, and may relate more particularly to compressing signals and/or states representative of neural network nodes in a computing device. | 2018-12-27 |
20180373976 | SCHEDULING NEURAL NETWORK PROCESSING - A computer-implemented method includes receiving a batch of neural network inputs to be processed using a neural network on a hardware circuit. The neural network has multiple layers arranged in a directed graph and each layer has a respective set of parameters. The method includes determining a partitioning of the neural network layers into a sequence of superlayers. Each superlayer is a partition of the directed graph that includes one or more layers. The method includes processing the batch of inputs using the hardware circuit, which includes, for each superlayer in the sequence: i) loading the respective set of parameters for the layers in the superlayer into memory of the hardware circuit, and ii) for each input in the batch, processing the input through each of the layers in the superlayer using the parameters in the memory of the hardware circuit to generate a superlayer output for the input. | 2018-12-27 |
20180373977 | OPTIMIZED NEURON CIRCUIT, AND ARCHITECTURE AND METHOD FOR EXECUTING NEURAL NETWORKS - A neuron circuit is capable of producing a weighted sum of digitized input signals and applying an activation function to the weighted sum so as to produce a digitized activation signal as output. The circuit includes at least: one multiplier multiplying each input signal (x | 2018-12-27 |
20180373978 | SYSTEMS AND DEVICES FOR FORMATTING NEURAL NETWORK PARAMETERS - Subject matter disclosed herein may relate to storage of signals and/or states representative of parameters in a computing device, and may relate more particularly to storage of signals and/or states representative of neural network parameters in a computing device. | 2018-12-27 |
20180373979 | IMAGE CAPTIONING UTILIZING SEMANTIC TEXT MODELING AND ADVERSARIAL LEARNING - The present disclosure includes methods and systems for generating captions for digital images. In particular, the disclosed systems and methods can train an image encoder neural network and a sentence decoder neural network to generate a caption from an input digital image. For instance, in one or more embodiments, the disclosed systems and methods train an image encoder neural network (e.g., a character-level convolutional neural network) utilizing a semantic similarity constraint, training images, and training captions. Moreover, the disclosed systems and methods can train a sentence decoder neural network (e.g., a character-level recurrent neural network) utilizing training sentences and an adversarial classifier. | 2018-12-27 |
20180373980 | METHOD FOR TRAINING AND REFINING AN ARTIFICIAL INTELLIGENCE - One variation of a method for training and refining an artificial intelligence includes: training a neural network on a training set to identify objects in optical images; receiving a manual label attributed to an optical image—recorded by a road vehicle during its operation—by a human annotator; passing the optical image through the neural network to generate an automated label attributed to the optical image; in response to the manual label differing from the automated label, serving the optical image to a human annotator for manual confirmation of one of the manual label and the automated label; appending the training set with the optical image containing one of the manual label and the automated label based on confirmation received from the human annotator; and retraining the neural network, with the training set, to identify objects in optical images. | 2018-12-27 |
20180373981 | METHOD AND DEVICE FOR OPTIMIZING NEURAL NETWORK - The embodiments of this application provide a method and device for optimizing neural network. The method includes: binarizing and bit-packing input data of a convolution layer along a channel direction, and obtaining compressed input data; binarizing and bit-packing respectively each convolution kernel of the convolution layer along the channel direction, and obtaining each corresponding compressed convolution kernel; dividing the compressed input data sequentially in a convolutional computation order into blocks of the compressed input data with the same size of each compressed convolution kernel, wherein the data input to one time convolutional computation form a data block; and, taking a convolutional computation on each block of the compressed input data and each compressed convolution kernel sequentially, obtaining each convolutional result data, and obtaining multiple output data of the convolution layer according to each convolutional result data. | 2018-12-27 |
20180373982 | NEURAL MAP - A computer-implemented system and method for storing data associated with an agent in a multi-dimensional environment via a memory architecture. The memory architecture is structured so that each unique position in the environment corresponds to a unique position within the memory architecture, thereby allowing the memory architecture to store features located at a particular position in the environment in a memory location specific to that location. As the agent traverses the environment, the agent compares the features at the agent's particular position to a summary of the features stored throughout the memory architecture and writes the features that correspond to the summary to the coordinates in the memory architecture that correspond to the agent's position. The system and method allows agents to learn, using a reinforcement signal, how to behave when acting in an environment that requires storing information over long time steps. | 2018-12-27 |
20180373983 | ARCHITECTURES, SYSTEMS AND METHODS FOR PROGRAM DEFINED TRANSACTION SYSTEM AND DECENTRALIZED CRYPTOCURRENCY SYSTEM - In one aspect, the invention comprises a system for control of a transaction state system utilizing a distributed ledger. First, the system includes an application plane layer adapted to receive instructions regarding operation of the transaction state system. Preferably, the application plane layer is coupled to the application plane layer interface. Second, a control plane layer is provided, the control plane layer including an adaptive control unit, such as a cognitive computing unit, artificial intelligence unit or machine-learning unit. Third, a data plane layer includes an input interface to receive data input from one or more data sources and to provide output coupled to a decentralized distributed ledger, the data plane layer is coupled to the control plane layer. Optionally the decentralized distributed ledger stores data on cryptocurrency. | 2018-12-27 |
20180373984 | ARCHITECTURES, SYSTEMS AND METHODS HAVING SEGREGATED SECURE FUNCTIONS AND PUBLIC FUNCTIONS - A system is provided for control of an entertainment state system having segregated secure functions and public functions for use by one or more users of the system. First, a public interface portal receives instructions regarding operation of the entertainment state system from the one or more users. The interface portal includes a first interface, a processor, a graphical user interface (GUI) coupled to the processor, a control unit in operative communication with the processor and graphical user interface, and a second interface providing an application program interface (API). Secondly, a secure entity unit is provided, the secure entity unit including a receive interface, the receive interface adapted to receive a call from the application program interface (API) of the interface portal, a send interface, the send interface adapted to provide a response to the interface portal interface, a game engine, and a financial engine. | 2018-12-27 |
20180373985 | TRANSFORMING CONVOLUTIONAL NEURAL NETWORKS FOR VISUAL SEQUENCE LEARNING - A method, computer readable medium, and system are disclosed for visual sequence learning using neural networks. The method includes the steps of replacing a non-recurrent layer within a trained convolutional neural network model with a recurrent layer to produce a visual sequence learning neural network model and transforming feedforward weights for the non-recurrent layer into input-to-hidden weights of the recurrent layer to produce a transformed recurrent layer. The method also includes the steps of setting hidden-to-hidden weights of the recurrent layer to initial values and processing video image data by the visual sequence learning neural network model to generate classification or regression output data. | 2018-12-27 |
20180373986 | MACHINE LEARNING USING DYNAMIC MULTILAYER PERCEPTRONS - A system and method for implementing a machine learning system using dynamic multilayer perceptrons transforms input data into directed acyclic graphs. Dynamic multilayer perceptron network graphs are generated based at least in part on the directed acyclic graphs. During training of the machine learning system, a trained weight set is determined by transforming training data into directed acyclic graphs and dynamic multilayer perceptron network graphs and adjusting the weights of the dynamic multilayer perceptron network graphs. When using the machine learning system, an output value is determined by transforming subject data into a subject dynamic acyclic graph. The trained weight set and subject dynamic acyclic graph are applied to a dynamic multilayer perceptron network graph that was generated based on the subject data resulting in the output. | 2018-12-27 |
20180373987 | BLOCK-DIAGONAL HESSIAN-FREE OPTIMIZATION FOR RECURRENT AND CONVOLUTIONAL NEURAL NETWORKS - Embodiments for training a neural network are provided. A neural network is divided into a first block and a second block, and the parameters in the first block and second block are trained in parallel. To train the parameters, a gradient from a gradient mini-batch included in training data is generated. A curvature-vector product from a curvature mini-batch included in the training data is also generated. The gradient and the curvature-vector product generate a conjugate gradient. The conjugate gradient is used to determine a change in parameters in the first block in parallel with a change in parameters in the second block. The curvature matrix in the curvature-vector product includes zero values when the terms correspond to parameters from different blocks. | 2018-12-27 |
20180373988 | SYSTEM AND METHOD FOR TUNING AND DEPLOYING AN ANALYTICAL MODEL OVER A TARGET ECO-SYSTEM - The present disclosure relates to system(s) and method(s) for tuning an analytical model. The system builds a global analytical model based on modelling data received from a user. Further, the system analyses a target eco-system to identify a set of target eco-system parameters. The system further selects a sub-set of model parameters, corresponding to the set of target eco-system parameters, from a set of model parameters. Further, the system generates a local analytical model based on updating the global analytical model, based on the sub-set of model parameters and one or more PMML wrappers. The system further deploys the local analytical model at each node, from a set of nodes, associated with the target eco-system. Further, the system gathers test results from each node based on executing the local analytical model. The system further tunes the sub-set of model parameters associated with the local analytical model using federated learning algorithms. | 2018-12-27 |
20180373989 | RELATION EXTRACTION USING CO-TRAINING WITH DISTANT SUPERVISION - Generating, updating, and using a knowledge graph. Concepts in a knowledge graph can have relations to one another. These relations may be expressed as confidence values. A training data set may be split into two portions, with the first portion used to update confidence values for existing relations between concept pairs, using the knowledge graph. These confidence values can be used, together with the second portion used to update confidence values for known phrases that express known relations. These confidence values, in turn, can be used, together with the first portion, to increase the accuracy of the original confidence scores with respect to existing relations. The process may be iteratively employed, with each iteration increasing the accuracy of confidence scores. | 2018-12-27 |
20180373990 | RELATION EXTRACTION USING CO-TRAINING WITH DISTANT SUPERVISION - Generating, updating, and using a knowledge graph. Concepts in a knowledge graph can have relations to one another. These relations may be expressed as confidence values. A training data set may be split into two portions, with the first portion used to update confidence values for existing relations between concept pairs, using the knowledge graph. These confidence values can be used, together with the second portion used to update confidence values for known phrases that express known relations. These confidence values, in turn, can be used, together with the first portion, to increase the accuracy of the original confidence scores with respect to existing relations. The process may be iteratively employed, with each iteration increasing the accuracy of confidence scores. | 2018-12-27 |
20180373991 | ADAPTIVE POPULATION OPTIMIZATION FOR AMPLIFYING THE INTELLIGENCE OF CROWDS AND SWARMS - System and method amplifying the accuracy of forecasts generated by software systems that harness the collective intelligence of human populations by curating optimized sub-populations through an intelligent selection process. Participants predict event outcomes and/or provide evaluations of their confidence in their predictions. The system determines an outlier score for each participant based on the participant's responses and the relation of the participant's responses to the predictions of the population as a whole. Participants can then be selected from the population based on the participant outlier scores. | 2018-12-27 |
20180373992 | SYSTEM AND METHODS FOR OBJECT FILTERING AND UNIFORM REPRESENTATION FOR AUTONOMOUS SYSTEMS - A computer-implemented method of controlling an autonomous system comprises: accessing, by one or more processors, sensor data that includes information regarding an area; disregarding, by the one or more processors, a portion of the sensor data that corresponds to objects outside of a region of interest; identifying, by the one or more processors, a plurality of objects from the sensor data; assigning, by the one or more processors, a priority to each of the plurality of objects; based on the priorities of the objects, selecting, by the one or more processors, a subset of the plurality of objects; generating, by the one or more processors, a representation of the selected objects; providing, by the one or more processors, the representation to a machine learning system as an input; and based on an output from the machine learning system resulting from the input, controlling the autonomous system. | 2018-12-27 |
20180373993 | Method Of Predicting Streamflow Data - A system and method for generating synthetic streamflow data for a malfunctioning streamgage is provided. The method uses both classification and regression techniques to accurately predict streamflow data for the malfunctioning streamgage based on measured streamflow data from other streamgages and based on correlations between the streamgages. The system and method may also provide a method of improved flood forecasting, by updating flood forecasts using synthetic streamflow data when measured streamflow data from one or more streamgages are unavailable. The system may generate flood forecast information and/or flood warning messages. | 2018-12-27 |
20180373994 | PERSONALIZED CONTENT DISTRIBUTION - Systems and methods for content provisioning are disclosed herein. The method includes receiving content corresponding to at least one source document, parsing the content, identifying segments from the parsed content, generating a networked grouping of the segments, receiving historical user information about a plurality of users, training a model by using the historical user information, receiving activities of a user, parsing the activities of the user, identifying components from the parsed activities, correlating the components with the segments, extracting features from the activities of the user based on the correlation, and using the trained model to estimate a mastery level of the user based on the features. | 2018-12-27 |
20180373995 | COMPUTER - A computing apparatus that does not need quantum coherence or a cryogenic cooling apparatus is provided for assignments that need an exhaustive search. | 2018-12-27 |
20180373996 | SYSTEMS AND METHODS FOR OPERATING A QUANTUM PROCESSOR TO DETERMINE ENERGY EIGENVALUES OF A HAMILTONIAN - Systems and methods for employing macroscopic resonant tunneling operations in quantum processors are described. New modes of use for quantum processor architectures employ probe qubits to determine energy eigenvalues of a problem Hamiltonian through macroscopic resonant tunneling operations. A dedicated probe qubit design that may be added to quantum processor architectures is also described. The dedicated probe qubit enables improved performance of macroscopic resonant tunneling operations and, consequently, improved performance of the new modes of use described. | 2018-12-27 |
20180373997 | AUTOMATICALLY STATE ADJUSTMENT IN REINFORCEMENT LEARNING - A system, a computer program product, and method for automatic state adjustment in reinforcement learning is described. The method begins with operating a reinforcement learning model using a state-action table with a set of environment states, a set of software agent states of at least one software agent, a set of actions corresponding to the set of environmental states and software agent states, a plurality of policies of transitioning from the environmental states and software agent states to actions, rules that determine a scalar immediate reward based on the transitioning, and rules that describe what the at least one software agent observes. An unstable state is identified from a series of values of the set of actions in the state-action table in which the series of values differ from each other by a settable threshold. Policies or factors are selected to split the unstable state that has been identified. | 2018-12-27 |
20180373998 | NATURAL LANGUAGE INTERFACE TO INTERACTIVE, OPERATING-SYSTEM SHELL AND TECHNIQUES FOR CREATING TRAINING DATA FOR THE SAME - Systems and methods for creating training data for a software application that executes automated tasks such as operating system shell. One example provides a system that comprises at least one electronic processor configured to access a file repository that contains programming files. The electronic processor is also configured to extract data from documentation associated with at least one of the programming files to generate extracted data, extract attributes associated with at least one of the programming files to generate extracted attributes, convert the extracted data and the extracted attributes to training data, and store the training data in a training data repository. The electronic processor is also configured to update the documentation and attributes in the programming files (for example, by providing a user interface to allow a user to do so or in another fashion). | 2018-12-27 |
20180373999 | TARGETED DATA AUGMENTATION USING NEURAL STYLE TRANSFER - A method for training a deep neural network (DNN) to perform a specified task with respect to images captured by a target camera, including: using an image captured by the target camera as a style target image, training a style transformer network to perform a style transformation that transforms any photorealistic input image into a transformed image that has contents of the input image, maintains photorealistic quality of the input image, and has a style that matches a style of the style target image; using the trained style transformer network to transform training image of an original training dataset into transformed training images; labeling the transformed training images with the training labels of the corresponding training image of the original training dataset, to form an augmented training dataset; and using the augmented training dataset to train the DNN to perform the specified task. | 2018-12-27 |
20180374000 | OPTIMIZING PERSONALITY TRAITS OF VIRTUAL AGENTS - A method, computer system, and a computer program product for optimizing a plurality of personality traits of a virtual agent based on a predicted customer satisfaction value is provided. The present invention may include identifying a customer. The present invention may also include retrieving a plurality of data associated with the customer. The present invention may then include analyzing the received plurality of data using a customer satisfaction prediction model. The present invention may further include generating a plurality of analyzed data from the customer satisfaction prediction model based on the analyzed plurality of data. The present invention may also include generating a plurality of personality traits for a virtual agent from the generated plurality of analyzed data. | 2018-12-27 |
20180374001 | CONTROL DEVICE, RECORDING MEDIUM, AND CONTROL SYSTEM - A control device generates a second command value by compensating a first command value output at every control cycle according to a predetermined pattern with a correction amount output at every control cycle according to correction data, updates the correction data based on a deviation between the first command value and a feedback value from the control object, and determines an initial value of the correction data. The control device acquires a response characteristic indicating a relationship between an assigned command value and a feedback value shown in the control object in response to the command value, estimates a feedback value to be shown in the control object based on a value obtained by compensating the first command value with temporary correction data and the response characteristic, and updates the temporary correction data based on a deviation between the first command value and the estimated feedback value. | 2018-12-27 |
20180374002 | Autonomous Driving under User Instructions and Hailing Methods - System and method for implementing a user's commands to utilize and control an autonomous vehicle. In several aspects, certain rules are arranged for navigation and operation of autonomous vehicle. In one aspect, a vehicle is configured to show a message to a user who hails the vehicle with gestures. In another aspect, a one-tap hailing process is configured, wherein destination info is not required. | 2018-12-27 |
20180374003 | CROWD CONTROL AND CHECK-IN TIME RECOMMENDATION IN PUBLIC TRANSPORTATION STATIONS - Methods, systems, and computer-readable storage media for crowd control based on check-in time recommendations, including operations of receiving, from a plurality of users, travel information, the travel information including, for each of the plurality of users, a user identification, a departure location, and a departure time, determining a total number of passengers within a time interval associated to the departure time from the departure location, generating a recommended check-in time for each of the plurality of users based on the travel information and the total number of passengers, displaying for each of the plurality of users the recommended check-in time, and activating a setting of a ticket verification device to prevent access to a portion of the departure location for each of the plurality of users before the recommended check-in time. | 2018-12-27 |
20180374004 | PARKING INVENTORY AND RESERVATION MANAGEMENT SYSTEM FOR FLEXIBLE PARKING SUBSCRIPTIONS - Various methods and systems for implementing flexible parking subscriptions using a parking inventory and reservation management system are provided. A flexible parking subscription is a hybrid subscription that provides parking patrons with access to longer term parking plans (e.g. monthly) with the flexibility of daily parking options. Generally, a reservation engine manages an inventory pool of parking spaces from one or more participating parking lots using real-time inventory management and on-demand access to lot inventories. Patrons can request assignments from available inventory using a reservation application such as a mobile app or online portal. For example, patrons can request daily assignments for an upcoming week. The reservation engine assigns parking spaces from the inventory pool based on patron requests, available inventory and default assignments. In some embodiments, the system performs usage analytics to predict optimal occupancy levels and/or guaranteed minimum reservations from lots, and can automatically apply the predicted levels and/or guaranteed minimums, for example, on a monthly basis. | 2018-12-27 |
20180374005 | OPERATING UNIT NUMBER DETERMINATION DEVICE, OPERATING UNIT NUMBER DETERMINING SYSTEM, OPERATING UNIT NUMBER DETERMINATION METHOD, AND RECORDING MEDIUM - An obtaining unit obtains store-visitor number information indicating a store-visitor number, which is a number of customers who visited a store, waiting customer number information indicating a waiting customer number, which is a number of customers waiting to be processed at a plurality of cash registers installed in the store, and influx number information indicating an influx number, which is a number of customers added to the waiting customer number. An influx number prediction unit calculates a predicted influx number, which is a number of customers who are expected to be added to the waiting customer number at the plurality of cash registers after a predetermined time from a current time point, based on the store-visitor number information and the influx number information. A storage unit stores processing capability information indicating a processable quantity that can be processed by each of the plurality of cash registers per a certain time and cost information about an operating cost of each of the plurality of cash registers. A congestion degree prediction unit calculates a plurality of values of a predicted waiting customer number, which is a number of customers who are expected to wait to be processed at the plurality of cash registers after the predetermined time, based on the waiting customer number information, the predicted influx number, and the processing capability information, where each of the plurality of values corresponds to each of a plurality of operating unit numbers of the plurality of cash registers. An operating unit number determination unit calculates an operating unit number of the plurality of cash registers based on the predicted waiting customer number and the cost information. | 2018-12-27 |
20180374006 | DETERMINING PATHS OF SHOPPERS IN A SHOPPING VENUE - A method, system and computer program product are disclosed for identifying related products and pathways in a venue. In one embodiment, the method comprises receiving input specifying one of the products; identifying one or more routes taken from the specified product by customers who purchased the product; identifying one or more other products on said one or more routes, having a defined relationship with the specified product and purchased by customers who purchased the specified product; and generating a display of the one or more routes. In an embodiment, the other products are determined as related based on a prediction that customers who purchase the specified product have a probability of purchasing the other products. In an embodiment, products are determined as related based on mining specified data to determine which products tend to be purchased with the specified product. | 2018-12-27 |
20180374007 | WORKFLOW GENERATION APPARATUS, WORKFLOW GENERATION METHOD, AND RECORDING MEDIUM - A workflow generation apparatus which generates a workflow in which a plurality of processes are combined displays a screen for editing a workflow in which a plurality of processes are combined and incorporates a log recording process of recording data processed in the workflow as a log after or before a process satisfying a designated condition among the plurality of processes constituting the displayed workflow. | 2018-12-27 |
20180374008 | COMPUTERIZED SIMULATION OF CROSS ELASTICITY BASED ACTIONABLE PRICING OUTPUTS FOR SINGLE BRAND MULTI-PRODUCT SELLERS - A computer based decision simulation tool system that includes data storage containing sales data for a plurality of products in a product line of a single brand. The sales data is organized to include quantity sold, selling price and sale date of a product over a period of time, at a predetermined level of temporal granularity. A processor is operatively coupled to the storage, and the processor is configured to execute instructions that when executed cause the processor to retrieve selected portions of the sales data. The processor operates to identify dependencies among products within the product line to generate a cross-product price elasticity that is indicative of percentage change in quantity sold of a focal product with respect to one percentage change in price of a different product in the product line. The process further operates to respond to user inputs to provide visual indications of the cross-product price elasticity. | 2018-12-27 |
20180374009 | COMPUTER PLATFORM FOR CONTROLLING AGRICULTURAL ASSETS - The present disclosure describes computer systems and computer-implemented methods for managing an agricultural operation. Vehicle location information for at least one agricultural vehicle is received, and the vehicle location information is used to determine a vehicle path. Vehicle state information is received from the vehicle and is used to determine whether the vehicle is in a working or non-working state. The vehicle path is then rendered on a map display, with the map display visually distinguishing between sections of the vehicle path traversed while the vehicle is in the working state and sections of the vehicle path traversed while the vehicle is in the non-working state. | 2018-12-27 |
20180374010 | PREDICTING EARLY WARNING SIGNALS IN PROJECT DELIVERY - The disclosure is directed to project management. A method for predicting early warning signals in project delivery according to embodiments includes classifying data related to a project into a plurality of classes of data, the data including unstructured data related to the project and structured data related to the project; inputting each of the plurality of classes of data into a cognitive engine for predictive analysis, the cognitive engine outputting a prediction value for each of the plurality of classes; applying a weighting to each of the prediction values outputted by the cognitive engine; combining the weighted prediction values; and predictively outputting an early warning signal based on the combination of weighted prediction values. | 2018-12-27 |
20180374011 | AGGREGATED ENTITY RESOURCE TOOL - Embodiments of the invention are directed to a system, method, or computer program product for creating a control dashboard for user interactions. The application may be utilized by a user in connection with a third party exchange system, small business, or individually. As such, the invention may extract data from multiple user and competitor locations. The invention coordinates the data and generates components for the dashboard that includes resource flows, outside entity user information, and aggregation integration in a customizable, real-time modified dashboard. Thus providing monitoring and alerts for inventorying, resources, and invoicing. Furthermore, the system may identify underpenetrated customer populations, perform trend analysis to identify potential customers, and the like. Finally, the system integrates an artificial intelligence engine for real-time data digestion and future predictions for resource flows. | 2018-12-27 |
20180374012 | Data Processing Inside Gaming Device - A computer-implemented method is disclosed that includes capturing data about motion of a sports object caused by one or more athletes manipulating the sports object, transmitting the captured data out of the sports object wirelessly in real time while the one or more athletes are still manipulating the sports object, and presenting information that incorporates the captured data about motion of the sports objects with one or more wearable devices. | 2018-12-27 |
20180374013 | SERVICE ARCHITECTURE FOR DYNAMIC BLOCK APPOINTMENT ORCHESTRATION AND DISPLAY - Methods, systems and media are provided for dynamic block appointment orchestration and display. One example method includes causing a display, in a first user interface of a first device connected to the network, of a time schedule including unrestricted user-selectable time slots. A selection by a user of at least one unrestricted time slot displayed in the schedule is received. A first booking in the schedule based on the selected time slot is created. The method includes contemporaneously causing a display, in a second user interface of a second device connected to the network, of the time schedule including at least one restricted time slot, the at least one restricted time slot corresponding to the first booking. | 2018-12-27 |
20180374014 | INFORMATION PROCESSING METHOD, INFORMATION PROCESSING SYSTEM, AND RECORDING MEDIUM STORING PROGRAM - An information processing method enhancing running efficiency of a passenger transportation vehicle is provided. The information processing method includes acquiring first stop position information indicating a first desired stop position of a first user riding a vehicle and tolerable range information indicating a gap range from the first desired stop position, which the first user tolerates, acquiring second stop position information indicating a second desired stop position of a second user riding the vehicle, deciding the second route based on the first stop position information, tolerable range information, and second stop position information, transmitting an inquiry of whether the second route is approved to an apparatus controlled by the first user, or assigning a benefit or the cost to the first user in a case of receiving a response indicating that the second route is approved or not approved from the apparatus. | 2018-12-27 |
20180374015 | SYSTEMS AND METHODS OF ACTIVITY FLOWS IN LIFECYCLE MODELS - A managerial-level user can add and specify tasks to define an activity flow using an interactive tool. The activity flow is stored as a building block that is accessible by a process application. A process administrator can insert the activity flow into a stage of a lifecycle of an entity using the process application. The process application may add a reference to the entity to an activity flow definition file associated with the building block stored in the database such that, at runtime of the lifecycle, the activity flow specified by the managerial-level user is automatically executed in the stage of the lifecycle. The process administrator does not need to know how the activity flow was built. The managerial-level user does not need to know how the activity flow is inserted into the lifecycle or how any of its stages work. The activity flows can be customized and reused. | 2018-12-27 |