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18th week of 2016 patent applcation highlights part 52
Patent application numberTitlePublished
20160125201HARDWARE-PROTECTIVE DATA PROCESSING SYSTEMS AND METHODS USING AN APPLICATION EXECUTING IN A SECURE DOMAIN - A data processing system supporting a secure domain and a non-secure domain comprises a hardware component, and a processor device having operating modes in the secure domain and non-secure domain, the processor device to execute a secure application in the secure domain. The hardware component has a property having a secure state. The property of the hardware component in the secure state may only be reconfigured responsive to instructions received from the secure domain. The secure application is operative to implement a configuration service to configure the property of the hardware component in the secure state, responsive to a request received from the non-secure domain according to an application programming interface associated with the secure application.2016-05-05
20160125202Method for operating a control device - A method for operating a control device having a system-on-a-chip having a processor unit and a security processor unit, the processor unit and the security processor unit each having at least one processor core, the processor unit instructing the security processor unit to execute security-critical processes, a priority being assigned, by the processor unit or by the security processor unit, to each of the security-critical processes that are to be executed in the security processor unit, and the security-critical processes being executed in the security processor unit as a function of the respective priority.2016-05-05
20160125203METHOD AND APPARATUS OF VERIFYING TERMINAL AND MEDIUM - A method and an apparatus of verifying a terminal are provided in the field of computer technology. In the method, the terminal establishes a secure channel with a server through a secure element in the terminal The terminal sends original terminal hardware parameters in the secure element to the server through the secure channel by using the secure element, where the server is configured to feed back identification information according to the terminal hardware parameters. The terminal then determines a verification result of an authenticity of the terminal according to the identification information fed back by the server. The apparatus includes: a channel establishing module, a parameter sending module and a result determining module. The present disclosure solves the problem that the verification application program cannot identify the authenticity of the terminal due to the degradation of the terminal performance, and achieves the effect that the accuracy of the authenticity of verifying the terminal is improved.2016-05-05
20160125204ELECTRONIC DEVICE AND METHOD FOR UNLOCKING TOUCH SCREEN - An unlocking method for a touch screen of an electronic device includes activating a color sensor of the electronic device when the touch screen of a locked electronic device is activated. RGB values of ambient light sensed by a color sensor are calculated, the calculated RGB values are changed into secondary RGB values, display a background of the touch screen with a color resolution defined by the calculated RGB values; and display an interface elements on the touch screen according to the secondary RGB values; wherein differences between the calculated RGB values and the secondary RGB values cause a visual contrast between the displayed background and the displayed interface elements.2016-05-05
20160125205SESSION-LEVEL-RESTRICTION FOR UNIVERSAL SERIAL BUS STORAGE DEVICES - A system and method of implementing SLR for a USB device of an information handling system is disclosed herein. An OS may load a disk driver stack and a volume driver stack for the USB device, where the USB device is being enumerated by a first driver. The OS may load a second driver on the disk driver stack. The OS may also load second driver on the volume driver stack. The OS may restrict an access to the USB device at the second driver as loaded on the disk driver stack. Furthermore, the OS may restrict an access to a volume of the USB device at the second driver as loaded on the volume driver stack.2016-05-05
20160125206SECURITY APPARATUS TO HOUSE A DEVICE - According to an example, a security apparatus to house a device may include a chassis, a front stop having a front stop wall and a front stop opening, a rear stop having a rear stop wall and a rear stop opening, a front cover to be positioned in front of the front stop having a front cover opening, in which the front stop wall blocks direct line of sight into the front opening of the chassis through the front cover opening when the front cover is positioned in front of the front stop, and a rear cover to be positioned behind the rear stop having a rear cover opening, in which the rear cover blocks direct line of sight into the rear opening of the chassis through the rear cover opening when the rear cover is positioned behind the rear stop wall.2016-05-05
20160125207CARD READER - A card reader may include a card passage, a magnetic head to abut with a magnetic stripe of the card, and an IC contact block having IC contact springs to contact with external connection terminals of an IC chip of the card. The magnetic head is disposed in a front side portion of the card reader so that a gap of the magnetic head faces the card passage from a lower side, and the IC contact block is disposed in a rear side portion of the card reader so that the IC contact springs face the card passage from an upper side. The card passage is formed in a straight shape but is inclined to a lower side as going to the rear side.2016-05-05
20160125208RFID PROTOCOL - A method of adding TTO functionality to an RTF RFID air protocol, such as ISO/IEC 18000-63 and EPC C1G2 protocol, Chinese GB/T 29768-2013. The starting wait state is changed after power-up of the RTF protocol to a TTO state where the tag automatically transmits an ID or an ID plus additional data at intervals to a reader while still waiting for possible RTF commands. A new command is added that enables the reader to obtain a handle from the tag directly from the TTO state to access the tag in an identical manner to the RTF access. The TTO functionality is as defined by the ISO/IEC 1800-64 protocol or IP-X protocol.2016-05-05
20160125209SYSTEM AND DEVICE FOR SAVING AND SHARING FILES - A scannable tag is provided having an inlay with an NFC chip and an antenna, and a memory element. When a user scans the tag using a scanning device, such as a mobile device, the user is granted access to content on a server associated with the tag. The user may then download onto the mobile device, stream or otherwise access the content from the server.2016-05-05
20160125210DISPOSABLE MULTIVARIABLE SENSING DEVICES HAVING RADIO FREQUENCY BASED SENSORS - A multivariable sensing device for sensing one or more parameters of a process fluid disposed in a container is provided. The multivariable sensing device includes a radio frequency based sensor configured to sense a physical parameter, a chemical parameter, a biological parameter, or combinations thereof, representative of the process fluid. The radio frequency based sensor includes a sensor substrate, a radio frequency coil disposed on at least a portion of the sensor substrate, and a support structure configured to be physically coupled to the container. Further, the support structure is configured to position the radio frequency based sensor in operative proximity to an inside of the container.2016-05-05
20160125211ARTICLE MANAGEMENT SYSTEM, ARTICLE MANAGEMENT METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM STORING ARTICLE MANAGEMENT PROGRAM - An article management system includes RFID tags (2016-05-05
20160125212Sensory Enhancement Systems and Methods in Personal Electronic Devices - Disclosed are personal electronic devices (PEDs) having a sensory enhancement (SE) system for monitoring environmental conditions and detecting environmental events, for example but not limited to, changes in acoustic, thermal, optical, electromagnetic, chemical, dynamic, wireless, atmospheric, or biometric conditions. The detection of such events can be used to invoke a notification, an alert, a corrective action, or some other action, depending upon the implementation to the PED user or another party.2016-05-05
20160125213STATIONARY-TYPE INFORMATION CODE READING APPARATUS - A stationary-type reading apparatus, which reads an information code, includes a case having a reading opening. An imaging unit, an image forming unit, and a reflecting unit are housed inside the case. The reflecting unit reflects light that has entered through the reading opening towards the image forming unit, the reflected light is led to a light receiving area of the imaging unit. The image forming unit prescribes a view area, which is configured by a first view area positioned between the image forming unit and the reflecting unit and a second view area positioned towards outside of the case, through the reading opening from the reflecting unit. A lower end of a reflection area of light from the reflecting unit is positioned at least at the lower end of the first view area. The image forming unit is disposed in a position off the second view area.2016-05-05
20160125214METHOD AND DEVICE FOR PROCESSING VISUAL GRAPHIC CODES OF MOBILE TERMINAL - The invention discloses a method and device for processing visual graphics codes of mobile terminal. The method mainly includes: monitoring an action of shooting or recording digital images by the mobile terminal; identifying a focusing action during the process of shooting or recording the digital images by the mobile terminal; recording the digital images obtained after the mobile terminal finishes the focusing action; analyzing the digital images obtained after the focusing action is finished, and obtaining visual graphics codes in the digital images; decoding the visual graphics codes, and processing decoded information obtained after decoding. The invention can efficiently and conveniently obtain the visual graphics coding of the digital images caused by the focusing action, and avoid complicated operations of re-installing a visual graphics coding software, and opening the visual graphics coding software by the user.2016-05-05
20160125215CORD AND CABLE IDENTIFICATION AND TRACKING SYSTEM - A system for identifying and tracking components, including but not limited to cords, cables and connectors, that are associated with an electronic device or apparatus or that are part of a “set.” Devices include TVs, DVD players, VCRs, DVRs, computers, printers, camera, and the like. A plurality of self-adhesive stickers marked with a scannable code, each with a unique code in that set, are affixed to a device and its accessories. The codes are scanned by a mobile computing device for entry into the system. Subsequent identification of a particular accessory can be performed by using the system to scan the coded sticker on that accessory.2016-05-05
20160125216SCANNER WITH ILLUMINATION SYSTEM - The present disclosure relates to a scanner with an illumination system, including: a plurality of illumination devices in the illumination system, wherein the plurality of illumination devices illuminate a label; an imager, which captures an image signal reflected from the label and decodes the image signal; and a detector, which detects the intensity of light reflected from the label, wherein if the light intensity is higher than a predetermined threshold, an illumination status of one or more of the plurality of illumination devices is changed. The scanner with an illumination system according to the present disclosure can effectively avoid specular reflection when scanning a barcode on a smartphone screen.2016-05-05
20160125217BARCODE SCANNING SYSTEM USING WEARABLE DEVICE WITH EMBEDDED CAMERA - A smartwatch is provided with an embedded camera; barcode decoding software; a user interface system, the user interface system being provided with a visual display on the smartwatch; and a processor communicatively coupled to the camera, the user interface system, and the barcode decoding software. The processor is configured for a barcode scanning and decoding operation. The barcode scanning and decoding operation is configured for: triggering a view finder on the smartwatch, aligning a barcode in the view finder; capturing images of the barcode aligned in the view finder with the camera, feeding the barcode images to barcode decoding software; and sending the decoded barcode information to the visual display.2016-05-05
20160125218SYSTEMS, METHODS AND ARTICLES FOR READING HIGHLY BLURRED MACHINE-READABLE SYMBOLS - Systems and methods for robust recognition of machine-readable symbols from highly blurred or distorted images. An image signal representation of a machine-readable symbol element is transformed into a different space using one or more transform operations, which moves an n-dimensional vector of measured light intensities into another n-dimensional space. The types of transform operations may include blur robust orthonormal bases, such as the Discrete Sine Transform, the Discrete Cosine Transform, the Chebyshev Transform, and the Lagrange Transform. A trained classifier (e.g., an artificial intelligence machine learning algorithm) may be used to classify the transformed signal in the transformed space. The types of trainable classifiers that may be used include random forest classifiers, Mahalanobis classifiers, support vector machines, and classification or regression trees.2016-05-05
20160125219WRIST-WORN APPARATUS CONTROL WITH FINGERPRINT DATA - Wrist-worn apparatus control with fingerprint data is disclosed. The apparatus includes a physical activity-related measurement sensor interface, a fingerprint sensor, one or more processors, and one or more memories including computer program code. The one or more memories and the computer program code are configured to, with the one or more processors, cause the apparatus at least to receive fingerprint data from a user with the fingerprint sensor, identify the fingerprint data as matching with one finger of the user on the basis of a comparison between the fingerprint data and reference data of a plurality of fingers of the user stored in the memory, and select a function of a physical activity-related measurement on the basis of the identified finger.2016-05-05
20160125220FINGERPRINT SENSING DEVICE WITH PROTECTIVE COATING - A sensing device comprising a plurality of sensing elements, each of the sensing elements being configured to provide a signal indicative of an electromagnetic coupling between the sensing element and a finger placed on a surface of the sensing device, a first layer arranged to cover the plurality of sensing elements, the first layer comprising a plurality of recesses, and a second layer arranged to cover the first layer, the second layer having hydrophobic surface properties. There is also provided a method for manufacturing such a sensing device.2016-05-05
20160125221METHOD FOR RECOGNIZING IRIS AND ELECTRONIC DEVICE THEREOF - An electronic device, according to various embodiments of the present disclosure, may include: an image sensor that obtains the first image; an image processing unit that processes the obtained first image to thereby create the second image; an image quality inspecting unit that performs image quality inspection on the basis of the created second image; and an iris recognition unit that, if the image quality of the second image satisfies a predetermined condition, performs iris recognition on the basis of the obtained first image.2016-05-05
20160125222SYSTEM AND METHOD FOR IDENTIFYING TREES - A system and method of detecting trees in an image. A system and method may receive a dimension related to the trees in an input image. A two dimensional (2D) high pass filter may be applied to the input image to produce a high pass image. Objects may be marked in the high pass image based on the dimension. A processed image may be produced by associating a set of pixels in the high pass image with a respective set of grayscale values. A density operator may be applied to the processed image to identify locations with high frequency changes. Shapes may be defined to include the locations. Trees may be identified by grouping one or more shapes.2016-05-05
20160125223ELECTRONIC DEVICE INCLUDING MULTIPLE SPEED AND MULTIPLE ACCURACY FINGER BIOMETRIC MATCHING AND RELATED METHODS - An electronic device may include a finger biometric sensor and a processor and a memory coupled thereto. The processor is capable of performing a first matching to determine a first matching score of sensed finger biometric data against finger biometric template data stored in the memory, and indicating a match and updating the finger biometric template data when the first matching score exceeds a first threshold. The processor is also capable of performing a second matching of the sensed finger biometric data against the stored finger biometric template data to determine a second matching score when the first matching score does not exceed the first threshold and updating the finger biometric template data stored in the memory when the second matching score is above a second threshold. The second matching is slower but more accurate than the first matching.2016-05-05
20160125224CELL SIZE IMAGING - In the various embodiments, cell size imaging is performed using a method that relies upon the acquisition of gradient echo and spin echo data during contrast agent (CA) passage through tissue and estimation of “perturber” size using the ratio of ΔR2016-05-05
20160125225UNDERLAY BODY2016-05-05
20160125226METHOD AND SYSTEM FOR AUTOMATICALLY OPTIMIZING QUALITY OF POINT CLOUD DATA - Disclosed is a method for automatically optimizing point cloud data quality, including the following steps of: acquiring initial point cloud data for a target to be reconstructed, to obtain an initial discrete point cloud; performing preliminary data cleaning on the obtained initial discrete point cloud to obtain a Locally Optimal Projection operator (LOP) sampling model; obtaining a Possion reconstruction point cloud model by using a Possion surface reconstruction method on the obtained initial discrete point cloud; performing iterative closest point algorithm registration on the obtained Possion reconstruction point cloud model and the obtained initial discrete point cloud; and for each point on a currently registered model, calculating a weight of a surrounding point within a certain radius distance region of a position corresponding to the point for the point on the obtained LOP sampling model, and comparing the weight with a threshold, to determine whether a region where the point is located requires repeated scanning. Further disclosed is a system for automatically optimizing point cloud data quality.2016-05-05
20160125227FACIAL STRUCTURAL SHAPING - An eyebrow shaping method includes providing an image of a face. Multiple guidelines are determined on the image and points and areas are located via the guidelines. A face is shaped with contouring and lightening to have Golden Ratio proportions via the different points and zones.2016-05-05
20160125228ELECTRONIC DEVICE, AND METHOD FOR ANALYZING FACE INFORMATION IN ELECTRONIC DEVICE - A method for analyzing face information in an electronic device is provided. The method includes detecting at least one face region from an image that is being captured by a camera module, zooming in the at least one detected face region, and analyzing the at least one detected and zoomed in face region according to at least one analysis item.2016-05-05
20160125229FACIAL STRUCTURAL SHAPING - An eyebrow shaping method includes providing an image of a face. Multiple guidelines are determined on the image and points and areas are located via the guidelines. A face is shaped with contouring and lightening to have Golden Ratio proportions via the different points and zones.2016-05-05
20160125230METHOD AND DEVICE FOR RECOGNIZING IMAGE - An image recognition method and device are disclosed. The disclosed device may include: a reference image storage unit configured to convert reference images into 1-dimensional vectors and store the converted 1-dimensional vectors; an image acquisition unit configured to obtain an input image; an image converter unit configured to convert the input image into a 1-dimensional vector, apply dimension reduction, and calculate coefficients for expressing the input image as a linear sum of vectors forming a reference image for each of the reference images; and a determiner unit configured to determine a reference image corresponding to the input image by performing a subtraction computation of subtracting a value obtained by applying the coefficients calculated for each reference image to a relevant reference image from the converted input image. The invention makes it possible to perform image recognition at a fast speed and lower the likelihood of the users' privacy being invaded.2016-05-05
20160125231Systems and Methods for Enhanced Document Recognition and Security - A system for enhanced document recognition and security is provided. The system includes an identification document reader configured to read an identification document and to obtain information containing a plurality of data fields from the identification document, and a processor. The processor is configured to receive the information, determine a relationship between the plurality of data fields and one or more required security information fields, link the one or more security information fields to a registration, determine acceptability of the identification document, and electronically transmit the registration and information related to the required security information registration fields to a central repository.2016-05-05
20160125232DYNAMIC FACE IDENTIFICATION - Systems and methods associated with dynamic face identification are disclosed. One example method includes matching a query face against a set of clusters in a dynamic collection. Matching the query face against the set of clusters may facilitate identifying a person associated with the query face. The example method also includes matching the query face against a set of images in a static gallery to identify the person. Matching the query face against the static gallery may be performed when matching the query face against the set of clusters fails to identify the person. The example method also includes updating the set of clusters in the dynamic collection using the query face.2016-05-05
20160125233SEMANTIC REPRESENTATION MODULE OF A MACHINE-LEARNING ENGINE IN A VIDEO ANALYSIS SYSTEM - A machine-learning engine is disclosed that is configured to recognize and learn behaviors, as well as to identify and distinguish between normal and abnormal behavior within a scene, by analyzing movements and/or activities (or absence of such) over time. The machine-learning engine may be configured to evaluate a sequence of primitive events and associated kinematic data generated for an object depicted in a sequence of video frames and a related vector representation. The vector representation is generated from a primitive event symbol stream and a phase space symbol stream, and the streams describe actions of the objects depicted in the sequence of video frames.2016-05-05
20160125234Athletic Attribute Determinations from Image Data - Systems and methods for determining athletic attributes are disclosed. Aspects of this disclosure relate to determining athletic attributes of an athlete from image data. One or more determinations may be based alterations of image data between different images, such as alterations in pixels representing objects or portions of objects. Image data may be utilized to determine whether certain thresholds are met. Various threshold levels may be applied to one or more objects represented in the image data. Landmarks/distance calibrations may be utilized from time-stamped image data to allow for precise measuring of performance (including, but not limited to: sprint or agility times, flight time for vertical jump, distance for throws). Data retrieved or derived from the image data may be used in scoring and/or ranking athletes. Such data may be used to provide training advice or regimes to the athletes or other individuals, such as coaches or trainers.2016-05-05
20160125235IMAGE SEGMENTATION METHOD AND IMAGE SEGMENTATION DEVICE - An image segmentation method and an image segmentation device are provided. The method comprises receiving a video image of a dynamic movement of a target object, acquiring a full-image optical flow of the video image to estimate a first displacement of each pixel therein, acquiring a background optical flow of the video image to estimate a second displacement of a background pixel therein; comparing the first displacement with the second displacement to obtain a foreground region of the target object; extracting feature points in the video image in the foreground region, calculating a probability density of the feature points to determine a number of the target objects; performing visual tracking and movement trajectory analysis on the target object to track the same; performing stationary judgment and image segmentation on the target object according to an interframe displacement of the feature points, an interframe cutting window similarity and tracking box scaling.2016-05-05
20160125236IMAGE IDENTIFICATION METHOD AND IMAGE IDENTIFICATION DEVICE - An image identification method and an image identification device are provided. The method comprises acquiring a hand feature region within a sight from a first view by skin color detection; acquiring a feature and a position of a tip of a finger from the hand feature region by performing a pattern recognition for a morphological feature of a stretched hand; recording an interframe displacement of a feature point of the tip of the finger when the tip of the finger delimits a periphery of a target object to obtain a delimiting trajectory from the interframe displacement, closing the delimiting trajectory to form a full-perimeter geometry; projecting the full-perimeter geometry on a plane where a direction of the sight is perpendicular to a plane where the target object is located to obtain a projection region, performing an image identification using the projection region as an identification region of the target object.2016-05-05
20160125237CAPTURING SPECIFIC INFORMATION BASED ON FIELD INFORMATION ASSOCIATED WITH A DOCUMENT CLASS - A device may obtain a document, of a document type, from which specific information is to be captured. The specific information to be captured may depend on a document class associated with the document. The device may identify the document class, associated with the document, based on a characteristic of the document. The document class may identify a category of document in which the document is included, and may be associated with multiple document types. The device may determine field information associated with the document class. The field information may include information that identifies a portion of the document where the specific information is located, or may include information that identifies a manner in which the specific information can be identified within the document. The device may analyze the document, based on the field information, in order to capture the specific information. The device may provide the captured specific information.2016-05-05
20160125238METHOD AND APPARATUS FOR DETECTION OF A PRINT MARK - Apparatus for the detection of print marks (2016-05-05
20160125239Systems And Methods For Secure Iris Imaging - The invention provides methods, systems and computer program products for secure iris image processing. The invention involves acquiring a first image of a first field of view corresponding to an iris camera. A first set of image information defining the first image is received at a processor implemented first high security operating environment, which first set of image information includes a second sub-set of image information relevant for iris feature extraction and/or comparison. A second image of the first field of view corresponding to the iris camera is rendered on a display, which second image is defined by a third set of image information such that the third set of information excludes the second sub-set of image information.2016-05-05
20160125240SYSTEMS AND METHODS FOR SECURE BIOMETRIC PROCESSING - The invention provides methods, systems and computer program products for secure biometric image processing. The invention involves acquiring a first image of a first field of view corresponding to a biometric camera. A first set of image information defining the first image is received at a processor implemented first high security operating environment, which first set of image information includes a second sub-set of image information relevant for biometric feature extraction or comparison. A second image of the first field of view corresponding to the biometric camera is rendered on a display, which second image is defined by a third set of image information such that the third set of information excludes the second sub-set of image information.2016-05-05
20160125241PUPIL DETECTION LIGHT SOURCE DEVICE, PUPIL DETECTION DEVICE AND PUPIL DETECTION METHOD - A pupil detection light source device includes an aperture disposed to face a subject to allow light from a pupil of the subject to pass therethrough, an illumination light for obtaining a light pupil image toward the subject from the inside or the vicinity of the aperture when seen from the subject, and an illumination light for forming a reflection image with glasses obtained by canceling a reflection image with glasses of the light pupil image using an image difference toward the subject from the inside or the vicinity of the aperture when seen from the subject.2016-05-05
20160125242METHOD, SYSTEM AND APPARATUS FOR PROVIDING IMPROVED AUDIENCE PARTICIPATION - The present disclosure provides an apparatus for detecting placards in a captured image, comprising: input circuitry operable to receive the captured image; detector circuitry operable to detect placards in the captured image on a basis of a predetermined shape and/or colour of the placards, the detector circuitry being operable to detect placards of a plurality of different shapes and/or colours; and counter circuitry operable to count a number of detected placards of each different shape and/or colour.2016-05-05
20160125243HUMAN BODY PART DETECTION SYSTEM AND HUMAN BODY PART DETECTION METHOD - A human body part detection system includes: a learning mode storing unit storing a learning model; a depth image acquisition unit acquiring a depth image; a foreground human extraction unit extracting a human area; and a human body part detection unit detecting the human body part based on the human area and the learning model. The detection unit calculates a direction of a geodesic path at a first point based on a shortest geodesic path from a base point to a first point, selects a pixel pair at positions obtained after rotating positions of a pixel pair for calculation of the feature in the learning model in accordance with the direction, calculates a feature at the first point based on depth of the selected pair, and determines a label corresponding to the human body part based on the feature at the first point and learning model.2016-05-05
20160125244SYSTEMS AND METHODS FOR PROVIDING PIXELATION AND DEPIXELATION ANIMATIONS FOR MEDIA CONTENT - Systems, methods, and non-transitory computer-readable media can detect a trigger to initiate at least one of a pixelation animation or a depixelation animation for a media content item. A set of pixelated images can be generated based on a source image associated with the media content item. Variable durations for presenting the set of pixelated images can be determined. The set of pixelated images can be presented, based on the variable durations, to produce the at least one of the pixelation animation or the depixelation animation.2016-05-05
20160125245FOREGROUND DETECTOR FOR VIDEO ANALYTICS SYSTEM - Techniques are disclosed for creating a background model of a scene using both a pixel based approach and a context based approach. The combined approach provides an effective technique for segmenting scene foreground from background in frames of a video stream. Further, this approach can scale to process large numbers of camera feeds simultaneously, e.g., using parallel processing architectures, while still generating an accurate background model. Further, using both a pixel based approach and context based approach ensures that the video analytics system can effectively and efficiently respond to changes in a scene, without overly increasing computational complexity. In addition, techniques are disclosed for updating the background model, from frame-to-frame, by absorbing foreground pixels into the background model via an absorption window, and dynamically updating background/foreground thresholds.2016-05-05
20160125246SYSTEM AND METHOD FOR PARKING AND TRAFFIC ANALYSIS - In various example embodiments, a system and method for parking and traffic analysis are presented. A video processing system includes a pair of cameras coupled to a light pole and configured to face downward toward a street or roadway. The pair of cameras is configurable to provide a combined FOV to capture video data of an area beneath the light pole or across a street from the light pole. The video processing system also includes a computing device for processing the video data captured by the pair of cameras. The computing device analyzes the raw video data to identify relevant scenes for an application. The computing devices determines to report a relevant scene identified to authorized users of the application. The video processing system transmits information related to the identified relevant scene, via the network, to at least one of a service platform or a user device for utilization by the application.2016-05-05
20160125247SURVEILLANCE SYSTEM AND SURVEILLANCE METHOD - A surveillance system including at least one image capture device and a processor, and a surveillance method are provided. The image capture device is coupled to the processor and captures surveillance images. The processor analyzes the correlation between multiple on site data corresponding to the surveillance images and event information. Each on site data includes time information and detail information. Therefore, the processor determines that the event information is more relevant to the surveillance image corresponding to the detail information having a higher occurrence frequency in the duration of the event information.2016-05-05
20160125248METHOD AND SERVICE SERVER FOR PROVIDING PASSENGER DENSITY INFORMATION - A method and service server for providing passenger density information are provided. The service server for providing passenger density information of a car according to an embodiment of the invention may include: a motion vector detection unit that detects motion vectors generated by the movements of passengers from a captured image of the inside of the car; a head recognition unit that recognizes the heads of passengers from the image; and a density information generation unit that generates the passenger density information of the car by using one or more of the motion vectors, a result of head recognition of the passengers, and tag sensor information received from sensors installed in the car.2016-05-05
20160125249BLUR OBJECT TRACKER USING GROUP LASSO METHOD AND APPARATUS - A method and apparatus for tracking an object across a plurality of sequential images, where certain of the images contain motion blur. A plurality of normal templates of a clear target object image and a plurality of blur templates of the target object are generated. In the next subsequent image frame, a plurality of bounding boxes are generated of potential object tracking positions about the target object location in the preceding image frame. For each bounding box image frame, a reconstruction error is generated that one bounding box has a maximum probability that it is the object tracking result in the subsequent image frame.2016-05-05
20160125250APPARATUS AND METHOD FOR CONNECTING A MOBILE DEVICE CAMERA - An apparatus and a method for connecting a mobile camera device to a vehicle-mounted display apparatus, wherein the mobile camera device is controlled both by the driver operating the mobile camera device as well as by additional information regarding the state of the vehicle, wherein the additional information is provided by vehicle sensors. The information from the driver and the vehicle is processed by an application program on the mobile camera device and the mobile camera device is controlled. The mobile camera device can display images and/or videos and process the images and/or videos by way of the application program. The information to be processed can be displayed on the display of the vehicle-mounted display apparatus.2016-05-05
20160125251EXTRACTING CARD DATA WITH CARD MODELS - Embodiments herein provide computer-implemented techniques for allowing a user computing device to extract financial card information using optical character recognition (“OCR”). Extracting financial card information may be improved by applying various classifiers and other transformations to the image data. For example, applying a linear classifier to the image to determine digit locations before applying the OCR algorithm allows the user computing device to use less processing capacity to extract accurate card data. The OCR application may train a classifier to use the wear patterns of a card to improve OCR algorithm performance. The OCR application may apply a linear classifier and then a nonlinear classifier to improve the performance and the accuracy of the OCR algorithm. The OCR application uses the known digit patterns used by typical credit and debit cards to improve the accuracy of the OCR algorithm.2016-05-05
20160125252IMAGE RECOGNITION APPARATUS, PROCESSING METHOD THEREOF, AND PROGRAM - An image recognition apparatus (2016-05-05
20160125253METHOD AND APPARATUS FOR IMAGE MATCHING - Disclosed is a method and apparatus for computation and processing of an image for image matching. The apparatus here is configured to pre-process plurality of images for creating an image template. Next, the test image is extracted and pre-processed for assessing the degree of match between the test image components and the image components of the images in the image template, based a position based matching score, a feature based matching score or both.2016-05-05
20160125254USING EXTRACTED IMAGE TEXT - Methods, systems, and apparatus including computer program products for using extracted image text are provided. In one implementation, a computer-implemented method is provided. The method includes receiving an input of one or more image search terms and identifying keywords from the received one or more image search terms. The method also includes searching a collection of keywords including keywords extracted from image text, retrieving an image associated with extracted image text corresponding to one or more of the image search terms, and presenting the image.2016-05-05
20160125255DYNAMIC ABSORPTION WINDOW FOR FOREGROUND BACKGROUND DETECTOR - Techniques are disclosed for creating a background model of a scene using both a pixel based approach and a context based approach. The combined approach provides an effective technique for segmenting scene foreground from background in frames of a video stream. Further, this approach can scale to process large numbers of camera feeds simultaneously, e.g., using parallel processing architectures, while still generating an accurate background model. Further, using both a pixel based approach and context based approach ensures that the video analytics system can effectively and efficiently respond to changes in a scene, without overly increasing computational complexity. In addition, techniques are disclosed for updating the background model, from frame-to-frame, by absorbing foreground pixels into the background model via an absorption window, and dynamically updating background/foreground thresholds.2016-05-05
20160125256CONTENT EXTRACTING DEVICE, CONTENT EXTRACTING METHOD AND PROGRAM - An information processing apparatus that obtains intimacy degree information corresponding to identification information of a first person, specifies an extraction period based on the intimacy degree information, and extracts content in the extraction period.2016-05-05
20160125257Optimized Fast Feature Detection for Vector Processors - This invention enables effective corner detection of pixels of an image using the FAST algorithm using a vector SIMD processor. This invention loads an 8×8 pixel block that includes four 7×7 pixel blocks including the 16 peripheral pixels to be tested for each of four center pixels. This invention rearranges the 64 pixels of the 8×8 block to form a 16 element array for each center pixel preferably using a vector permutation instruction. This invention uses vector SIMD subtraction and compare and vector SIMD addition and compare to make the FAST algorithm comparisons. The N consecutive pixels determinations of the FAST algorithm are made from the results of plural shift and AND operations. The corresponding center pixel is marked a corner or not a corner dependent upon of the results of plural shift and AND operations.2016-05-05
20160125258STEREO IMAGE PROCESSING USING CONTOURS - A computer-implemented stereo image processing method which uses contours is described. In an embodiment, contours are extracted from two silhouette images captured at substantially the same time by a stereo camera of at least part of an object in a scene. Stereo correspondences between contour points on corresponding scanlines in the two contour images (one corresponding to each silhouette image in the stereo pair) are calculated on the basis of contour point comparison metrics, such as the compatibility of the normal of the contours and/or a distance along the scanline between the point and a centroid of the contour. A corresponding system is also described.2016-05-05
20160125259SMART FEELING SENSING TAG FOR PICTURES - The invention is directed to systems, methods and computer program products for determining a mood and a strength of an image. An exemplary method comprises: determining a mood of an image based on a color tone and a color saturation of the image; determining a strength of an image based on a brightness of the image; determining a mood-strength distribution of the image based on the mood of the image and the strength of the image; and selecting a music piece based on the mood-strength distribution of the image.2016-05-05
20160125260SELECTING FEATURES FROM IMAGE DATA - SIFT features are selected from an input image. A SIFT procedure is applied to the input image to obtain candidate keypoints. For each candidate keypoint, there is calculation of a first Laplacian value (L2016-05-05
20160125261IMAGE ANALYSIS - A method for processing an image is proposed. The method comprises identifying a first group of keypoints in the image. For each keypoint of the first group, the method provides for identifying at least one corresponding keypoint local feature related to said each keypoint; for said at least one keypoint local feature, calculating a corresponding local feature relevance probability; calculating a keypoint relevance probability based on the local feature relevance probabilities of said at least one local feature. The method further comprises selecting keypoints, among the keypoints of the first group, having the highest keypoint relevance probabilities to form a second group of keypoints, and exploiting the keypoints of the second group for analysing the image. The local feature relevance probability calculated for a local feature of a keypoint is obtained by comparing the value assumed by said local feature with a corresponding reference statistical distribution of values of said local feature.2016-05-05
20160125262IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing apparatus receives an input specifying a target in a first captured image group that is obtained by slicing a three-dimensional body into captured images at a first point in time, extracts feature points surrounding the specified target from the captured images of the first captured image group, specifies slice positions of each of the feature points that are extracted in captured images of a second captured image group that is obtained by slicing the three-dimensional body into the captured images at a second point in time, and outputs an image corresponding to a slice position range specified based on the specified slice positions of each of the extracted feature points, and corresponding to a range on a first plane specified based on positions of each of the extracted feature points on a second plane.2016-05-05
20160125263METHOD TO COMPUTE SLIDING WINDOW BLOCK SUM USING INSTRUCTION BASED SELECTIVE HORIZONTAL ADDITION IN VECTOR PROCESSOR - This invention forms a block sum of picture elements employing a vector dot product instruction to sum packed picture elements and the mask producing a vector of masked horizontal picture element. The block sum is formed from plural horizontal sums via vector single instruction multiple data (SIMD) addition.2016-05-05
20160125264Visually Highlighting Spatial Structures - A method for improving visual highlighting of spatial structures in a volume data record includes providing a first transfer function for mapping data values of the volume data record to color values of a visual representation, and providing a selection option for a user to select a parameter set. A second transfer function is generated based on the first transfer function and the selected parameter set. The volume data record is represented by the second transfer function.2016-05-05
20160125265CONTEXT-BASED IMAGE RECOGNITION FOR CONSUMER MARKET RESEARCH - Example methods, apparatus, systems to perform context-based image recognition for consumer market research are disclosed. Disclosed example methods include comparing a first subset of feature points in a first region of interest of a reference image with a first subset of feature points of a first image residing within a first region corresponding spatially to the first region of interest and located at a first location in the first image to determine a first match value. Disclosed example methods also include, in response to determining the first match value satisfies a first threshold, comparing a second subset of feature points in a second region of interest of the reference image with a second subset of the feature points of the first image residing within a second region of the first image corresponding spatially to the second region of interest to determine a second match value.2016-05-05
20160125266Image Processing Method, Image Processing Device, And Image Processing Program - There are provided an image processing method, an image processing device, and an image processing program for speeding up a template matching process by performing template matching based on an image size in which the amount of operation in the template matching becomes small. The image processing method includes: accepting (2016-05-05
20160125267METHOD AND SYSTEM FOR COORDINATING BETWEEN IMAGE SENSORS - Method and system for coordinating between separate image sensors imaging a mutual area of interest at different imaging perspectives. A target point is designated on a first image acquired by a first image sensor. Feature points are defined and characterized on the first image and transmitted over a data communication link to a second image sensor. The target point is identified in a second image acquired by the second image sensor using an iterative convergence operation. The first iteration involves locating feature points in the second image corresponding to the defined first image feature points. Subsequent iterations involve locating feature points in a subregion of the second image corresponding to decreasing subsets of first image feature points, the subregion defined by the feature point cluster located in the previous iteration. When a termination condition is reached, the remaining cluster of located feature points is established to represent the target point.2016-05-05
20160125268IMAGE PROCESSING SYSTEM, IMAGE PROCESSING METHOD, AND RECORDING MEDIUM - An image processing system includes: a first identification unit that identifies a static area from an input image captured at each of a plurality of time points; an image generation unit that generates a first image by using the static areas of respective input images captured in a first time span from a processing time point and generates a second image by using the static areas of respective images captured in a second time span from the processing time point; and a second identification unit that compares the first image and the second image and identifies an area having a difference.2016-05-05
20160125269Systems and Methods for Identifying Anomalous Test Item Renderings - Systems and methods are provided for determining a test item rendering anomaly. A test item is provided to a first test item rendering system that is configured to generate a first graphical representation of the test item. The test item is provided to a second test item rendering system that is configured to generate a second graphical representation of the test item. A first digital pixel image of the first graphical representation is captured, and a second digital pixel image of the second graphical representation is captured. Pixels of the digital pixel images are processed, where the processing includes comparing the digital pixel images to determine an extent to which the second digital pixel image differs from the first digital pixel image. An indication for the test item is provided when the second digital pixel image differs from the first digital pixel image by more than a threshold amount.2016-05-05
20160125270System And Method For Providing Objectified Image Renderings Using Recognition Information From Images - An embodiment provides for enabling retrieval of a collection of captured images that form at least a portion of a library of images. For each image in the collection, a captured image may be analyzed to recognize information from image data contained in the captured image, and an index may be generated, where the index data is based on the recognized information. Using the index, functionality such as search and retrieval is enabled. Various recognition techniques, including those that use the face, clothing, apparel, and combinations of characteristics may be utilized. Recognition may be performed on, among other things, persons and text carried on objects.2016-05-05
20160125271FEATURE AMOUNT CONVERSION APPARATUS, LEARNING APPARATUS, RECOGNITION APPARATUS, AND FEATURE AMOUNT CONVERSION PROGRAM PRODUCT - A feature amount conversion apparatus includes a plurality of bit rearrangement units, a plurality of logical operation units, and a feature integration unit. The bit rearrangement units generate rearranged bit strings by rearranging elements of an inputted binary feature vector into diverse arrangements. The logical operation units generate logically-operated bit strings by performing a logical operation on the inputted feature vector and each of the rearranged bit strings. The feature integration unit generates a nonlinearly converted feature vector by integrating the generated logically-operated bit strings.2016-05-05
20160125272OBJECT RECOGNIZER AND DETECTOR FOR TWO-DIMENSIONAL IMAGES USING BAYESIAN NETWORK BASED CLASSIFIER - System and method for determining a classifier to discriminate between two classes—object or non-object. The classifier may be used by an object detection program to detect presence of a 3D object in a 2D image. The overall classifier is constructed of a sequence of classifiers, where each such classifier is based on a ratio of two graphical probability models. A discreet-valued variable representation at each node in a Bayesian network by a two-stage process of tree-structured vector quantization is discussed. The overall classifier may be part of an object detector program that is trained to automatically detect different types of 3D objects. Computationally efficient statistical methods to evaluate overall classifiers are disclosed. The Bayesian network-based classifier may also be used to determine if two observations belong to the same category.2016-05-05
20160125273MACHINE LEARNING DEVICE AND CLASSIFICATION DEVICE FOR ACCURATELY CLASSIFYING INTO CATEGORY TO WHICH CONTENT BELONGS - An image acquisition unit of a machine learning device acquires n learning images assigned with labels to be used for categorization (n is a natural number larger than or equal to 2). A feature vector acquisition unit acquires a feature vector representing a feature from each of the n learning images. A vector conversion unit converts the feature vector for each of the n learning images to a similarity feature vector based on a similarity degree between the learning images. A classification condition learning unit learns a classification condition for categorizing the n learning images, based on the similarity feature vector converted by the vector conversion unit and the label assigned to each of the n learning images. A classification unit categorizes unlabeled testing images in accordance with the classification condition learned by the classification condition learning unit.2016-05-05
20160125274DISCOVERING VISUAL CONCEPTS FROM WEAKLY LABELED IMAGE COLLECTIONS - Images uploaded to photo sharing websites often include some tags or sentence descriptions. In an example embodiment, these tags or descriptions, which might be relevant to the image contents, become the weak labels of these images. The weak labels can be used to identify concepts for the images using an iterative hard instance learning algorithm to discover visual concepts from the label and visual feature representations in the weakly labeled images. The visual concept detectors can be directly applied to concept recognition and detection.2016-05-05
20160125275CHARACTER RECOGNITION DEVICE, IMAGE DISPLAY DEVICE, IMAGE RETRIEVAL DEVICE, CHARACTER RECOGNITION METHOD, AND COMPUTER PROGRAM PRODUCT - According to an embodiment, a device includes a detector, first and second recognizers, an estimator, a second recognizer, and an output unit. The detector is configured to detect a visible text area including a visible character from an image. The first recognizer is configured to perform character pattern recognition on the visible text area, and calculate a recognition cost according to a likelihood of a character pattern. The estimator is configured to estimate a partially-hidden text area into which a hidden text area estimated to have a hidden character and the visible text area are integrated. The second recognizer is configured to calculate an integrated cost into which the calculated cost and a linguistic cost corresponding to a linguistic likelihood of a text that fits in the entire partially-hidden text area are integrated. The output unit is configured to output a text selected or ranked based on the integrated cost.2016-05-05
20160125276METHODS AND SYSTEMS FOR MARKING ANIMALS - The invention provides, in one aspect, a computerized method for graphically marking an animal for display to a user. The method includes retrieving, with a first computing device (e.g., a smartphone), one or more animal metrics (e.g., weight) from a data store, and capturing, with a second computing device (e.g., Google Glass or similar device) coupled to the first computing device, an image of an animal. The method further includes transmitting, from the second computing device to the first computing device, the captured image of the animal, and identifying, with the first computing device, an animal in the captured image. The method associates, with the first computing device, the identified animal with one or more of the metrics retrieved from the data store, and displays, with the second computing device, one or more visual cues (e.g., colors) based upon the associated one or more metrics retrieved from the data store.2016-05-05
20160125277IMAGE FORMING APPARATUS AND IMAGE FORMING METHOD - In an image forming apparatus: a report reading portion reads image data of a print report that has already been printed; a memory stores report data of a current time point; a format determining portion determines whether or not the read print report and the report data match in format; a change search portion, when the print report and the report data match in format, determines whether or not changed information is included in the report data by comparing the report data with the print report for each item, the changed information being information that has been changed from corresponding information in the print report; and a change output portion, when the changed information is included in the report data, re-prints the changed information in a vicinity of pre-change information on the print report, the pre-change information corresponding to the changed information.2016-05-05
20160125278Raster Image Processor With Printhead Profile Compensation for a Multi Level Digital Printing Machine - System and method of calibration, screening, and compensation for multiple gray-level digital presses. Unequal quantization of the input range is employed with compensated overlapping of sub-ranges. Multiple instances of bi-level screening algorithms, tone modification functions, and a recombination algorithm are employed to produce calibrated screening on individual tone ranges. The method works with any bi-level screening algorithm and devices with any number of gray-levels. Quality imaging results from high detail, high tonal accuracy, low screening noise, and lack of printed artifacts. Dynamic re-calibration is facilitated. The elimination of the constraint of evenly spaced gray-levels has advantages of cost and yield for print head fabricators and digital press manufacturers. Multiple implementations are given for hardware and software embodiments. The present invention, which comprises a print profile for each colorant, is extended to comprise additional print profiles, as needed, specifying the print characteristic of a single or group of aberrant nozzles.2016-05-05
20160125279IMAGE FORMING APPARATUS AND METHOD FOR CONTROLLING THE SAME - An image forming method according to the present invention includes obtaining a number of pixels in a sub-scanning direction of a white region in image data, the white region being adjacent to a region at a downstream side in the sub-scanning direction of the region and the region being in the image data and including, continuously in the sub-scanning direction, pixels with a density not smaller than a predetermined density, and correcting a pixel value for a unit region based on the number of pixels of the white region obtained by the obtaining so that a density of the unit region becomes low, the unit region being included in the region at the downstream side thereof in the sub-scanning direction.2016-05-05
20160125280IMAGE FORMING APPARATUS - Provided is an image forming apparatus configured to: set, when an error occurs, a user who has a shorter take-away time than a user of a data transmission source as an additional notification destination; and transmit an error occurrence notification to the additional notification destination as well, and further configured to, when the take-away time of the user of the additional notification destination has elapsed since the error occurrence notification is transmitted to the additional notification destination without an error elimination operation being conducted: set a user who has a shorter take-away time than a time obtained by subtracting the take-away time of the user of the additional notification destination from the take-away time of the user of the data transmission source, as a new additional notification destination; and transmit the error occurrence notification to the new additional notification destination.2016-05-05
20160125281Production Method for Portable Data Carriers - A method for producing a portable data carrier by means of a continuous production method, in particular a roll-to-roll method, includes the step of processing at least one foil in the form of roll goods. The unrolled foil is coated with an adhesive at least partially on at least one side. Subsequently, the foil is scored along at least one fold edge on at least one side of the foil. The foil is then folded along the scored fold edge in exact register and bonded. For this purpose the foil is folded in the direction of the side that is coated with adhesive, wherein the side coated with adhesive is arranged on the opposite side of the foil which has at least one scored fold edge, along which the folding is effected. Finally, data carriers are punched out in exact register from the at least one folded and bonded foil.2016-05-05
20160125282Analysis of Stimulus by RFID - The present invention is directed to a process for manufacturing a capacitor for an RFID device. The process utilizes stencils to spray-coat capacitor electrodes about a substrate, and in other embodiments, the process spray coats a first capacitor on a substrate, then an insulator on the first capacitor, and then a second capacitor on the insulator.2016-05-05
20160125283PRODUCT HOLDER - A holder for a product package includes a substrate having an inside surface, with opposing end portions of the substrate being folded upwards. The holder also includes a securing member disposed on at least one of the end portions, the securing member configured to secure the product package within the end portions of the substrate. The holder also includes a RFID tag disposed on the substrate.2016-05-05
20160125284METHOD FOR MAKING AN ANTI-CRACK ELECTRONIC DEVICE - A method for making an intermediate electronic device, wherein said device is coated or is to be coated with a cover sheet or layer, the method comprising the step of forming a carrier-body comprising: a cavity provided in the carrier-body; an electric circuit comprising at least one electric interconnection area inside the cavity; an electronic module comprising at least one connection pad connecting said interconnection area and arranged in the cavity; a space or gap provided at the interface between the module and the carrier-body, substantially perpendicular to a main surface of the carrier-body, in communication with the surface of the carrier-body, and intended to be covered with a cover sheet or layer; the method is characterized in that a flexible or elastic material is arranged in the device so as to fill the space or gap between the module and the body-carrier or at least partially cover same.2016-05-05
20160125285RADIO FREQUENCY IDENTIFICATION ENABLED MIRRORS - A radio frequency identification (RFID) enabled mirror includes a mirror comprising a reflective layer. The reflective layer comprises at least one layer of a metallic material. At least one portion of the reflective layer is removed to form a booster antenna from a remaining portion of the reflective layer. A dielectric coating is applied to the mirror where the reflective layer was removed. The RFID-enabled mirror further includes an RFID chip coupled to the booster antenna.2016-05-05
20160125286SEALING TAG WITH CONDUCTIVE FEATURES FOR PREVENTING THE COUNTERFEITING OF A PRODUCT AND A METHOD FOR MANUFACTURING SUCH - A sealing tag with conductive features, containing at least one conductive marking, pattern or surface, wherein each conductive marking, pattern, or surface and a substrate material are interconnected by an adhesive pattern or other bond. The sealing tag is characterized in that the size and shape of the adhesive pattern or other bond matches the main outlines of the conducting circuit pattern such that inside the area limited by the main outlines there is at least one area where the adhesion is strong and at least one area where the adhesion is weak. Additionally, a method for manufacturing such sealing tag is disclosed.2016-05-05
20160125287NEUROMORPHIC SYNAPSES - A neuromorphic synapse with a resistive memory cell connected in circuitry having first and second input terminals. The input terminals respectively receive pre-neuron and post-neuron action signals, each having a read portion and a write portion, in use. The circuitry includes an output terminal for providing a synaptic output signal which is dependent on resistance of the memory cell. The circuitry is configured such that the synaptic output signal is provided at the output terminal in response to application at the first input terminal of the read portion of the pre-neuron action signal, and such that a programming signal, for programming resistance of the memory cell, is applied to the cell in response to simultaneous application of the write portions of the pre-neuron and post-neuron action signals at the first and second input terminals respectively. The synapse can be adapted for operation with identical pre-neuron and post-neuron action signals.2016-05-05
20160125288Physically Unclonable Functions Using Neuromorphic Networks - The disclosure describes the use of a neural network circuit, such as an oscillatory neural network or cellular neural network, to serve as a physically unclonable function on an integrated circuit or within an electronic system. The manufacturing process variations that impact the initial state of the neural network parameters are used to provide the unique identification for the physically unclonable function. A challenge signal to the neural network results in a response that is unique to the circuits process variations. The neural network is designed such that there are random variations among manufactured circuits, but that the specific instance variations are sufficiently deterministic with respect to circuit aging and environmental conditions such as temperature and supply voltage.2016-05-05
20160125289MAPPING GRAPHS ONTO CORE-BASED NEUROMORPHIC ARCHITECTURES - Embodiments of the invention provide a method for mapping a bipartite graph onto a neuromorphic architecture comprising of a plurality of interconnected neuromorphic core circuits. The graph includes a set of source nodes and a set of target nodes. The method comprises, for each source node, creating a corresponding splitter construct configured to duplicate input. Each splitter construct comprises a first portion of a core circuit. The method further comprises, for each target node, creating a corresponding merger construct configured to combine input. Each merger construct comprises a second portion of a core circuit. Source nodes and target nodes are connected based on a permutation of an interconnect network interconnecting the core circuits.2016-05-05
20160125290COMBINED DISCRETE AND INCREMENTAL OPTIMIZATION IN GENERATING ACTIONABLE OUTPUTS - An optimization solver divides time-indexed historical data into intervals that have temporal boundaries. A discrete coefficient evaluator calculates coefficient values in a forecasting model at the temporal boundaries of the training data. An incremental parameter evaluator evaluates incremental parameter changes between the temporal boundaries in the training data. The incremental parameter evaluator updates the parameter values, based upon the incremental changes in the parameters, so that the updated parameter values can be used by the discrete coefficient evaluator for evaluating coefficient values at a next temporal boundary. The trained forecasting modes is deployed in a system to forecast phenomena.2016-05-05
20160125291ANSWER INTERACTIONS IN A QUESTION-ANSWERING ENVIRONMENT - In a question-answering (QA) environment, a first answer sequence is identified. As identified, the first answer sequence includes a first answer and a second answer. A corpus is analyzed using the first answer and the second answer. Based on the analysis, a set of influence factors corresponding to both the first answer and the second answer are identified. A first answer relationship between the first answer and the second answer is then generated based on the set of influence factors.2016-05-05
20160125292APPARATUS AND METHOD FOR GENERATING PREDICTION MODEL - Disclosed herein are an apparatus for generating a prediction model and a method thereof. The apparatus for generating a prediction model from data composed of a plurality of instances each including one or more predictor values and a target value includes a pre-processing module configured to generate pre-processed target values by calculating weighted averages of the target values for a predetermined prediction period and subtracting the weighted averages from the target values, a prediction model generation module configured to calculate prediction values of the target values of the respective instances from the plurality of instances including the pre-processed target values, and a post-processing module configured to add the weighted averages, which are subtracted in the pre-processing module, to the prediction values of the target values of the respective instances.2016-05-05
20160125293RULE-BASED ACTION TRIGGERING IN A PROVIDER NETWORK - Methods, systems, and computer-readable media for implementing rule-based triggering in a provider network are disclosed. When conditions are met for one or more triggers, one or more rules that comprise the one or more triggers are determined. The conditions are determined in a provider network comprising a plurality of resources. One or more actions are determined in the one or more rules that comprise the one or more triggers. The one or more actions are performed, comprising modifying one or more of the resources in the provider network.2016-05-05
20160125294METHOD FOR FORECASTING ENERGY DEMANDS THAT INCORPORATES URBAN HEAT ISLAND - A method for forecasting energy demand for a single building, a neighborhood or a city in an urban environment is disclosed. The method treats urban heat island (UHI) calculations as being dynamically impacted by predicted weather conditions to calculate a weather-adjusted UHI. Predicted energy consumption rates for weather conditions use the weather-adjusted UHI to increase accuracy of the prediction.2016-05-05
20160125295USER-INTERACTION TOY AND INTERACTION METHOD OF THE TOY - The present invention relates to a user-interaction toy and an interaction method of the toy, and more particularly, to a user-interaction toy and an interaction method of the toy that recognize an intention of a user's action and select a reaction thereto, and output the intention and the reaction to a user. According to embodiments of the present invention, there is a provided a user-interaction toy that can more accurately determine a user's intention by sensing means including two or more sensors, and as a result, an appropriate response is made to a user to 2016-05-05
20160125296System and Method for Securing an Architectural Environment Against Crime and Minimizing Criminal Elements - A computer-implemented method is provided for analysing and designing a physical environment for discouraging criminal activity within the physical environment. The physical environment is assessed and risk factors are identified that make the physical environment vulnerable to criminal activity. In one embodiment, risks posed by the nature and location of the physical environment within a spatial footprint are calculated. Further, the physical environment is evaluated to identify physical elements of the environment that could make the structure vulnerable to criminal attacks. Risk scores assigned to all of these factors are then analyzed to generate a recommendation report for at least one of the physical elements. Deploying at least one of the recommendations in the report aids in improving a deterrent rating assigned to that physical element and subsequently integrity of the physical environment against criminal attacks. 2016-05-05
20160125297SYSTEM AND METHOD FOR SOLVING SPATIOTEMPORAL-BASED PROBLEMS - A system for adaptive intelligent decision making includes circuitry that receives a spatiotemporal problem that includes at least one of a spatial dimension and a temporal dimension. Problem data is assigned to a relative problem space that affects decisions to the spatiotemporal problem. Weighting factors are assigned to the problem data that indicate an effect of the problem data on the decisions to the spatiotemporal problem in order to control relationships between the problem data in the relative problem space. Decisions are determined to the spatiotemporal problem based on decisions between the problem data. Feedback is provided that is related to the decisions and an associated decision confidence factor.2016-05-05
20160125298ANSWER SEQUENCE EVALUATION - Aspects of the present disclosure are directed toward evaluating an answer sequence. Aspects are directed toward receiving a set of answer sequences including a first answer sequence. The first answer sequence may have a first set of answers. Aspects are also directed toward identifying a set of scores coupled with the first set of answers. Aspects are also directed toward determining, based on a subject matter corresponding to the first answer sequence, a set of evaluation rules. Aspects are also directed toward generating, based on the set of scores and the set of evaluation rules, a sequence evaluation score for the first answer sequence.2016-05-05
20160125299APPARATUS FOR DATA ANALYSIS AND PREDICTION AND METHOD THEREOF - An apparatus and a method for data analysis and prediction, the apparatus including: a data collection unit configured to collect a prediction value derived through a machine learning of input data; a candidate prediction value generation unit configured to generate a candidate prediction value; a rule verification value configured to store one or more rules and verify whether the candidate prediction value violates the one or more rules; and an evaluation unit configured to calculate a fitness of the candidate prediction value according to an error rate of the candidate prediction value with respect to the prediction value and a verification result of the rule verification unit.2016-05-05
20160125300SYSTEM AND METHOD FOR GRAPH PATTERN ANALYSIS - In some example embodiments, a system and method are provided for graph pattern analysis. In example embodiments, pattern data of a primary network that includes data relating to relationships between entities are received. A reference matrix comprising a plurality of secondary network determined based on the pattern data of the primary network is generated A graphical display of the primary network and the reference matrix are displayed on a user interface. A selection of a secondary network from the plurality of secondary networks of the reference matrix is received. The selected secondary network has similar matching characteristics with at least a portion of the primary network. In response to the selection, the primary network is classified as a classification type related to the selected secondary network.2016-05-05
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