Abstract: A technique includes displaying, by a computer using a graphical interface, a map of a geographical area, where the map includes political boundaries. The technique includes displaying, by the computer, graphical images on the map representing a plurality of aspects that are associated with the management of a plurality of projects as corresponding geographical features on the map. The technique includes graphically segregating, by the computer, the plurality of projects on the map using the political boundaries; receiving input, via interaction with the displayed map; and changing, by the computer, in response to the interaction, how a given aspect of the plurality of aspects of a given project of the plurality of projects is represented on the map.

Abstract: A package structure and a method of forming the same are provided. The package structure includes a first die, a second die, a first encapsulant, and a buffer layer. The first die and the second die are disposed side by side. The first encapsulant encapsulates the first die and the second die. The second die includes a die stack encapsulated by a second encapsulant encapsulating a die stack. The buffer layer is disposed between the first encapsulant and the second encapsulant and covers at least a sidewall of the second die and disposed between the first encapsulant and the second encapsulant. The buffer layer has a Young's modulus less than a Young's modulus of the first encapsulant and a Young's modulus of the second encapsulant.

Abstract: A method and apparatus for neural network based cross component prediction with scaling factors during encoding or decoding of an image frame or a video sequence, which may include training a deep neural network (DNN) cross component prediction (CCP) model with at least one or more scaling factors, wherein the at least one or more scaling factors are learned by optimizing a rate-distortion loss based on an input video sequence comprising a luma component, and reconstructing a chroma component based on the luma component using the trained DNN CCP model with the at least one or more scaling factors for chroma prediction. The trained DNN CCP may be updated for chroma prediction of the input video sequence using the one or more scaling factors, and performing chroma prediction of the input video sequence using the updated DNN CCP model with the one or more scaling factors.

Abstract: An embodiment of the present application discloses a pixel unit of a display panel and a display panel, wherein data lines are covered with a light shielding matrix element, two light shielding strips of the light shielding matrix element shield the two data lines respectively. Each light shielding strip comprises a first light shielding section and a second light shielding section in different widths overlap side edges of the main pixel electrode portion and side edges of the sub-pixel electrode portion respectively to effectively shield light leakage regions between the data lines and the pixel electrode, which solves the technical issue of the conventional pixel unit of a display panel forming light leakage regions between data lines and the pixel electrode, causing light leakage in a dark state, and resulting lowered display quality of the display panel and improves display quality.

Abstract: Disclosed is a folding seat which comprises a chair pocket, a first supporting assembly, and a second supporting assembly, the chair pocket is sheathed on the first supporting assembly and the second supporting assembly. The first supporting assembly comprises a supporting rod and a supporting base, the supporting rod is hinged in the supporting base and rotates in a preset range. The second supporting assembly and the first supporting assembly have the same structure and arranged opposite to each other detachably. By arranging the first supporting assembly and the second supporting assembly detachably to support the chair pocket, the folding seat can be fixed. By dissembling the first supporting assembly and the second supporting assembly, then rotating and adjusting the supporting rods in the first supporting assembly and the second supporting assembly, the folding seat can be folded and stored.

Abstract: Embodiments of the disclosure provide a method and a device for processing a portrait image, the method includes: acquiring a to-be-processed portrait image; inputting the to-be-processed portrait image into an image processing model, and acquiring a head smear image output by the image processing model, where the image processing model is configured to smear a hair area of a portrait located above a preset boundary in the portrait image, and the image processing model is generated by training a sample data set of a sample portrait image and a sample head smear image corresponding to the sample portrait image; rendering the head smear image with a head effect material to obtain a portrait image added with an effect; and displaying the portrait image added with the effect.

Abstract: The present disclosure provides a microfluidic substrate, a microfluidic chip, a method for preparing the microfluidic chip, and a method for using the microfluidic chip. The microfluidic substrate includes a substrate including a plurality of microcavity regions arranged m an array, each of the plurality of microcavity regions includes a first portion and a second portion that are stacked, and the depth of the first portion is x, and the first portion includes a top opening that is circular in shape and has a diameter D, the relationship between the diameter D of the top opening and the depth x is approximately D=2x+y, where the range of x is from 20 microns to 400 microns, and the range of y is from 5 microns to 30 microns.

Abstract: The present disclosure provides a digital immunochip and a manufacture method thereof. The digital immunochip includes a first substrate and a second substrate which are opposite to each other. The first substrate includes: a first base substrate; at least one driving electrode on the first base substrate and configured to drive an object to be detected to move; a dielectric layer on a side of the at least one driving electrode away from the first base substrate and covering the at least one driving electrode; and a first hydrophobic layer on a side of the dielectric layer away from the first base substrate. The second substrate includes: a second base substrate; and an immunoassay substance on a side of the second base substrate proximal to the first hydrophobic layer of the first substrate and including an antigen or an antibody.

Abstract: In example implementations, a computing device is provided. The computing device includes an expansion interface, a first device, a second device, and a processor communicatively coupled to the expansion interface. The expansion interface includes a plurality of slots. Two slots of the plurality of slots are controlled by a single reset signal. The first device is connected to a first slot of the two slots and has a feature that is compatible with the single reset signal. The second device is connected to a second slot of the two slots and does not have the feature compatible with the single reset signal. The process is to detect the first device connected to the first slot and the second device connected to the second slot and disable the feature by preventing the first slot and the second slot from receiving the single reset signal.

Abstract: Aspects of the disclosure provide a method and an apparatus for video encoding. The apparatus includes processing circuitry configured to generate an initial feature representation from an input image to be encoded and perform an iterative update of values of a plurality of elements in the initial feature representation. The iterative update includes generate a coded representation corresponding to a final feature representation based on the final feature representation that has been updated from the initial feature representation by a number of iterations of the iterative update. A reconstructed image corresponding to the final feature representation is generated based on the coded representation. An encoded image corresponding to the final feature representation having updated values of the plurality of elements is generated. One of (i) a rate-distortion loss corresponding to the final feature representation or (ii) the number of iterations of the iterative update satisfies a pre-determined condition.

Abstract: Example aspects include techniques for implementing a high-frequency attention network for single image super-resolution. These techniques may include extracting a plurality of features from an original image input into a CNN to generate a feature map, and restoring one or more high-frequency details of the original image via an efficient residual block (ERB) and a high-frequency attention block (HFAB) configured to assign a scaling factor to one or more high-frequency areas. In addition, the techniques may include generating reconstruction input information by performing an element-wise operation on the one or more high-frequency details and cross-connection information from the feature map and performing, by the CNN, an enhancement operation on the reconstruction input information to generate an enhanced image.

Abstract: Described are examples for detecting objects in an image on a device including setting, based on a condition, a number of sparse proposals to use in performing object detection in the image, performing object detection in the image based on providing the sparse proposals as input to an object detection process to infer object location and classification of one or more objects in the image, and indicating, to an application and based on an output of the object detection process, the object location and classification of the one or more objects.

Abstract: Systems and methods are directed to inpainting video. More specifically, initial video data including a sequence of image frames containing missing or corrupted pixel information may be received. Optical flow displacement values and optical flow validity masks may be generated for neighboring image frames of initial video data. Image features from image feature maps of one or more neighboring image frames may be warp-shifted to image feature maps of a current image frame using the optical flow displacement values and warp-shifted image features from the feature maps of the one or more neighboring image frames may be selected based on one or more of the optical flow validity masks. A sequence of complete image frames may be generated based on the selected warp-shifted image features from the feature maps of the one or more neighboring image frames and image features from the image feature maps of the current image frame.

Abstract: Systems and method directed to performing video object segmentation are provided. In examples, video data representing a sequence of image frames and video data representing an object mask may be received at a video object segmentation server. Image features may be generated based on a first image frame of the sequence of image frames, image features may be generated based on a second image frame of the sequence of image frames; and object features may be generated based on the object mask. A transform matrix may be computed based on the image features of the first image frame and image features of the second image frame; the transform matrix may be applied to the object features resulting in transformed object features. A predicted object mask associated with the second image frame may be obtained by decoding the transformed object features.

Abstract: Systems and method directed to performing video object segmentation are provided. In examples, video data representing a sequence of image frames and video data representing an object mask may be received at a video object segmentation server. Image features may be generated based on a first image frame of the sequence of image frames, image features may be generated based on a second image frame of the sequence of image frames; and object features may be generated based on the object mask. A transform matrix may be computed based on the image features of the first image frame and image features of the second image frame; the transform matrix may be applied to the object features resulting in transformed object features. A predicted object mask associated with the second image frame may be obtained by decoding the transformed object features.

Abstract: Systems and methods are directed to inpainting video. More specifically, initial video data including a sequence of image frames containing missing or corrupted pixel information may be received. Optical flow displacement values and optical flow validity masks may be generated for neighboring image frames of initial video data. Image features from image feature maps of one or more neighboring image frames may be warp-shifted to image feature maps of a current image frame using the optical flow displacement values and warp-shifted image features from the feature maps of the one or more neighboring image frames may be selected based on one or more of the optical flow validity masks. A sequence of complete image frames may be generated based on the selected warp-shifted image features from the feature maps of the one or more neighboring image frames and image features from the image feature maps of the current image frame.

Abstract: A functional regenerated cellulose fiber includes a graphene structure and non-carbon non-oxygen elements. The non-carbon non-oxygen elements includes elements of Fe, Si, and Al. The elements of Fe, Si, and Al account for 0.018 wt % to 0.8 wt % of the regenerated cellulose fiber.

Abstract: A method, computer program product, and computer system for predicting responses to at least one conversational phrase. At least one conversational phrase may be received. A first probability for a subset of candidate responses of a plurality of candidate responses may be determined based upon, at least in part, context associated with the at least one conversational phrase, the at least one conversational phrase, and each context associated with the plurality of candidate responses. A second probability for the subset of candidate responses may be determined based upon, at least in part, the subset of candidate responses, the at least one conversational phrase, and the context associated with the at least one conversational phrase. At least one candidate response for the at least one conversational phrase may be determined based upon, at least in part, the first probability and the second probability.

Abstract: A method, computer program product, and computer system for identifying, by a computing device, a model for predicting conversational phrases for a communication between at least a first user and a second user. The model may be trained based upon, at least in part, an attribute associated with the second user. At least one conversational phrase may be predicted for the communication between the first user and the second user. The at least one conversational phrase may be provided to the second user as an optional phrase to be sent to the first user.