Abstract: A system for extended time scale event detection includes a data storage device and a processor. The data storage device is configured to store sensor data associated with a vehicle. The processor is configured to analyze an extended time period of the sensor data to identify minor events. The minor events are detected using a minor event threshold. The processor is further configured to determine whether there are more than a threshold number of the minor events and, in the event there are more than a threshold number of the minor events, flag the minor events.

Abstract: The invention provides a vending machine for dispensing hot packaged food. The vending machine includes a storage and dispenser unit comprising plural dispensing trays arranged in an array for storing one or more packaged foods, a frame, and a carrier structure. Each individual dispensing tray includes a pivotable gate and a slideway inclined by a tilting angle from a horizontal axis. The carrier structure comprises a carrying arm having an engaging feature; and an engaging mechanism for actuating the pivotable gate. The engaging mechanism is configured to move the carrying arm towards the individual dispensing tray such that the engaging feature actuates the pivotable gate from a locked position to an unlocked position. The packaged food is prevented from sliding down when the pivotable gate is at the locked position. The packaged food is slidable relative to the individual dispensing tray when the pivotable gate is at the unlocked position.

Abstract: The present invention provides a dithering and directional modulation-based frame rate conversion apparatus comprising: a directional delta modulation generator configured to receive a plurality of input color data representing a plurality of input color components of an input pixel color and generate a plurality of modulated data for the plurality of input color data respectively; and a plurality of dithering modules configured to perform K-bit dithering conversion on the plurality of input color data respectively to generate a plurality of output color data for representing a plurality of output color components of an output pixel color with a color depth of K bits per component, where K is an integer equal to or great than 1. The present invention can allow display to support frame rates higher than its standard configuration without observable color depth degradation.

Abstract: A GAN is trained to process input images and produce a synthetic dental image. The GAN further takes masks as inputs with each image, the masks labeling pixels of the image corresponding to dental features (anatomy and/or treatments). The GAN includes an encoder-decoder with normalization between stages of the decoder according to the masks. A synthetic image and an unpaired dental image is evaluated by a first discriminator of the GAN to obtain a realism estimate. The synthetic image and an unpaired dental image may be processed using a pretrained dental encoder to obtain a perceptual loss. The GAN is trained with the realism estimate and perceptual loss. Utilization may include modifying a mask for an input image to include or exclude a shape of a feature such that the synthetic image includes or excludes a dental feature.

Abstract: A passive matrix LED display driving scheme based on subframe pulse width modulation (PWM) to increase frame scan rate and further with channel-to-channel compensation is provided. The scheme may comprise: dividing each frame of the display video into T number of subframes; converting a driving signal for a pixel into a N-bit driving data, compensating the driving data with a compensation value; mapping the compensated driving data into the T number of subframes respectively.

Abstract: Dental images are processed according to a first machine learning model to determine teeth labels. The teeth labels and image are concatenated and processed using a second machine learning model to label anatomy including CEJ, JE, GM, and Bone. The anatomy labels, teeth labels, and image are concatenated and processed using a third machine learning model to obtain feature measurements, such as pocket depth and clinical attachment level. The feature measurements, anatomy labels, teeth labels, and image may be concatenated and input to a fourth machine learning model to obtain a diagnosis for a periodontal condition. Feature measurements and/or the diagnosis may be processed according to a diagnosis hierarchy to determine whether a treatment is appropriate. Machine learning models may further be used to reorient, decontaminate, and restore the image prior to processing. Machine learning models may be embodied as CNN, GAN, and cyclic GAN.

Abstract: In a liquid crystal display (LCD), a liquid crystal (LC) panel has a display area of arbitrary shape. A light-emitting area of a backlight panel is partitioned into zones for providing local dimming to the LC panel. The LC panel is partitioned into display regions. An apparatus for controlling the LC panel and the backlight panel has zone registers each recording a proportion of area of a zone covered by a corresponding display region. The apparatus computes a dimming factor for the zone according to its recorded proportion and pixel data of a portion of image located on the zone, allowing local dimming to be provided without requiring boundary information of the display area. A two-phase arrangement is used to calculate the dimming factor, achieving local dimming to save power in backlight generation while reducing a potential loss of image brightness in high-brightness part of the image portion.

Abstract: A method is provided for driving an active matrix display device comprising a matrix of pixels configured to display an n-bit image data in an image frame by dividing the image frame for each pixel into n subframes; defining the n-bit image data to have n1 number of greater significant bits and n2 number of lesser significant bits, where n1+n2=n; and selecting the rows of pixels non-sequentially in the subframes corresponding to the n2 number of lesser significant bits such that there is no more than one row of pixel being selected in each subframe. The provided method can utilize the scan sequence in a more flexible way to make better use of the available scan time such that a higher display resolution or dynamic range can be achieved without increasing the scanning frequency.

Abstract: A passive matrix LED display driving scheme based on subframe pulse width modulation (PWM) to increase frame scan rate and further with channel-to-channel compensation is provided. The scheme may comprise: dividing each frame of the display video into T number of subframes; converting a driving signal for a pixel into a N-bit driving data, compensating the driving data with a compensation value; mapping the compensated driving data into the T number of subframes respectively.

Abstract: An interface enables a user to select a block type, place an instance of that block type in a schematic and connect the instance to other instances. Each block type defines processing of dental data, such as dental images according to any of a plurality of modalities and defines logic, such as if statements, to determine an output (positive/negative) for instances of that block type. Logic may include Boolean expressions relating to results of the inf statements. The logic may operate with respect to data derived from patient data using a machine learning model trained to measure dental anatomy, measure dental pathologies, or diagnose dental conditions. A workflow may be created with instances to determine the appropriateness of a dental treatment.

Abstract: This invention relates to a method for determining if a cancer of a subject is expected to respond to chemotherapy.

Abstract: A GAN is trained to process input images and produce a synthetic dental image. The GAN further takes masks as inputs with each image, the masks labeling pixels of the image corresponding to dental features (anatomy and/or treatments). The GAN includes an encoder-decoder with normalization between stages of the decoder according to the masks. A synthetic image and an unpaired dental image is evaluated by a first discriminator of the GAN to obtain a realism estimate. The synthetic image and an unpaired dental image may be processed using a pretrained dental encoder to obtain a perceptual loss. The GAN is trained with the realism estimate and perceptual loss. Utilization may include modifying a mask for an input image to include or exclude a shape of a feature such that the synthetic image includes or excludes a dental feature.

Abstract: In a display panel, drivers for driving LEDs of pixels are distributed over a substrate, and transceivers relay pixel data from a timing controller to the drivers. The drivers are divided into groups. Respective drivers in a group receive corresponding pixel data addressed thereto solely from one corresponding transceiver. The corresponding transceiver and the respective drivers are daisy-chained to form one first linear daisy chain, where each pair of immediately-adjacent first drivers are connected. Plural first linear daisy chains are formed for all groups. The transceivers are daisy-chained to form a second linear daisy chain by connecting each pair of immediately-adjacent transceivers. The first and second linear daisy chains form a fishbone topology network to enable transmission of pixel data from the timing controller to the drivers while reducing a data-line footprint on the substrate that mounts the pixels, driver and transceivers in comparison to a conventional star-topology network.

Abstract: A light-emitting diode (LED) includes a first electroluminescent (EL) component, a second EL component, a first segment electrode, a second segment electrode, and a first common electrode. The first segment electrode is electrically connected to the first EL component. The second segment electrode is electrically connected to the second EL component. The first common electrode has a first branch and a second branch which extend along a first direction and are arranged in a second direction different than the first direction. The first branch is located between the second branch and either of the first and second EL components, and the first and second branches are electrically connected to the first and second EL components, respectively.

Abstract: In a display panel, drivers for driving LEDs of pixels are distributed over a substrate, and transceivers relay pixel data from a timing controller to the drivers. The drivers are divided into groups. Respective drivers in a group receive corresponding pixel data addressed thereto solely from one corresponding transceiver. The corresponding transceiver and the respective drivers are daisy-chained to form one first linear daisy chain, where each pair of immediately-adjacent first drivers are connected. Plural first linear daisy chains are formed for all groups. The transceivers are daisy-chained to form a second linear daisy chain by connecting each pair of immediately-adjacent transceivers. The first and second linear daisy chains form a fishbone topology network to enable transmission of pixel data from the timing controller to the drivers while reducing a data-line footprint on the substrate that mounts the pixels, driver and transceivers in comparison to a conventional star-topology network.

Abstract: A computing device for interacting with a user, comprising: a touch-sensing enabled display panel comprising one or more touch sensors for sensing an on-screen touch and one or more physical keys being positioned adjacent to edges of the display panel and configured to serve as off-screen keys for sensing an off-screen touch. The touch-sensing functionality is extended by coupling the touch screen with proximally positioned physical keys for detecting touch gesture such that additional gestures can be detected and in turn enhancing the computing device's user experience.

Abstract: A computing device for interacting with a user, comprising: a touch-sensing enabled display panel comprising one or more touch sensors for sensing an on-screen touch and one or more physical keys being positioned adjacent to edges of the display panel and configured to serve as off-screen keys for sensing an off-screen touch. The touch-sensing functionality is extended by coupling the touch screen with proximally positioned physical keys for detecting touch gesture such that additional gestures can be detected and in turn enhancing the computing device's user experience.

Abstract: Dental images are processed according to a first machine learning model to determine teeth labels. The teeth labels and image are concatenated and processed using a second machine learning model to label anatomy including CEJ, JE, GM, and Bone. The anatomy labels, teeth labels, and image are concatenated and processed using a third machine learning model to obtain feature measurements, such as pocket depth and clinical attachment level. The feature measurements, anatomy labels, teeth labels, and image may be concatenated and input to a fourth machine learning model to obtain a diagnosis for a periodontal condition. Feature measurements and/or the diagnosis may be processed according to a diagnosis hierarchy to determine whether a treatment is appropriate. Machine learning models may further be used to reorient, decontaminate, and restore the image prior to processing. Machine learning models may be embodied as CNN, GAN, and cyclic GAN.

Abstract: A barrier latch assembly having a housing including a first locking element, a second locking element, a trigger and a swing plate. The swing plate is coupled to the trigger and to the first and second locking elements. When the trigger is depressed, the swing plate pivots from an unlock position to a lock position over a rear side of the first and second locking element thereby blocking and preventing the first and second locking elements from being depressed inward.