Abstract: A method, a computer program product, and a computer system guide a user through dimensional relationships. The method includes receiving a plurality of images of a unit of a perspective of a user. When a number of corresponding three-dimensional points between a current image and a previous image is less than a registration threshold to perform a three-dimensional registration operation, the method includes performing a three-dimensional data augmentation operation based on two-dimensional data from the current image and the previous image to generate extended corresponding three-dimensional points. The method includes determining a three-dimensional transform function between the current image and the previous image based on the extended corresponding three-dimensional points.

Abstract: A method, computer system, and a computer program product for AR guidance is provided. The present invention may include detecting a plurality of objects in a video recording associated with completing a task. The present invention may include generating a plurality of three-dimensional (3D) object models based on scanning a plurality of real objects in a task space. The present invention may include matching the detected plurality of objects in the video recording with the generated plurality of 3D object models representing the plurality of real objects in the task space. The present invention may include generating, based on the video recording, an augmented reality (AR) guidance model for completing the task, wherein the generated AR guidance model replaces the detected plurality of objects in the video recording with the generated plurality of 3D object models representing the plurality of real objects in the task space.

Abstract: A method, computer system, and a computer program product for AR guidance is provided. The present invention may include detecting a plurality of objects in a video recording associated with completing a task. The present invention may include generating a plurality of three-dimensional (3D) object models based on scanning a plurality of real objects in a task space. The present invention may include matching the detected plurality of objects in the video recording with the generated plurality of 3D object models representing the plurality of real objects in the task space. The present invention may include generating, based on the video recording, an augmented reality (AR) guidance model for completing the task, wherein the generated AR guidance model replaces the detected plurality of objects in the video recording with the generated plurality of 3D object models representing the plurality of real objects in the task space.

Abstract: Embodiments of the present disclosure provide a cone-rod dual-modality neuromorphic vision sensor, including: a first preset quantity of voltage-mode active pixel sensor (APS) circuits and a second preset quantity of current-mode APS circuits, where each of the voltage-mode APS circuits includes a first-type photosensitive device, and each of the current-mode APS circuits includes a second-type photosensitive device. The voltage-mode APS can output a target voltage signal representing light intensity information in a target light signal. The obtained target voltage signal represents the light intensity information with a higher precision, and therefore an image with higher quality can be obtained, that is, the image has a higher signal-noise ratio.

Abstract: A medical image segmentation method based on a U-Net, including: sending real segmentation image and original image to a generative adversarial network for data enhancement to generate a composite image with a label; then putting the composite image into original data set to obtain an expanded data set, and sending the expanded data set to improved multi-feature fusion segmentation network for training. A Dilated Convolution Module is added between the shallow and deep feature skip connections of the segmentation network to obtain receptive fields with different sizes, which enhances the fusion of detail information and deep semantics, improves the adaptability to the size of the segmentation target, and improves the medical image segmentation accuracy. The over-fitting problem that occurs when training the segmentation network is alleviated by using the expanded data set of the generative adversarial network.

Abstract: Embodiments of the present disclosure provide a dual-modality neuromorphic vision sensor. A first-type current-mode active pixel sensor (APS) circuit can mimic excitatory rod cells, to perceive light intensity gradient information in a target light signal, thereby improving a dynamic arrange of an image sensed by a neuromorphic, vision sensor and its shooting speed. In addition, a first-type control switch is introduced for each of non-target first-type photosensitive devices, to control the obtained light intensity gradient information, and adjust the dynamic arrange of the image sensed by the neuromorphic vision sensor, thereby adjusting the shooting speed, and realizing a reconfigurable effect A voltage-mode APS can mimic cone cells, to output a target voltage signal representing light intensity information in the target light signal, and perceive the light intensity information in the target light signal.

Abstract: Using machine learning to help identify and assess threats in an information technology (IT) computing environment. Machine learning type training is used to train both a threat model and a set of data model(s).

Abstract: The present disclosure provides a mask device and a manufacturing method thereof, and an evaporation system. The mask device includes a frame, strip alignment plates and a strip support plate, hollow portions are provided in the strip alignment plates, and the strip alignment plates are fixed on the frame; the strip support plate and the strip alignment plates cross each other, a plurality of welding spots are provided on the surface of the strip support plate proximal to the frame, and are welded and fixed to the frame, and the plurality of welding spots are provided in the region of the strip support plate corresponding to the hollow portions.

Abstract: A method, a computer program product, and a computer system guide a user through dimensional relationships. The method includes receiving a plurality of images of a unit of a perspective of a user. When a number of corresponding three-dimensional points between a current image and a previous image is less than a registration threshold to perform a three-dimensional registration operation, the method includes performing a three-dimensional data augmentation operation based on two-dimensional data from the current image and the previous image to generate extended corresponding three-dimensional points. The method includes determining a three-dimensional transform function between the current image and the previous image based on the extended corresponding three-dimensional points.

Abstract: A medical image segmentation method include: 1) acquiring a medical image data set; 2) acquiring, from the medical image data set, an original image and a real segmentation image of a target region in the original image in pair to serve as an input data set of a pre-built constant-scaling segmentation network, the input data set including a training set, a verification set, and a test set; 3) training the constant-scaling segmentation network by using the training set to obtain a trained segmentation network model, and verifying the constant-scaling segmentation network by using the verification set, the constant-scaling segmentation network including a feature extraction module and a resolution amplifying module; and 4) inputting the original image to be segmented into the segmentation network model for segmentation to obtain a real segmentation image.

Abstract: A method, computer system, and a computer program product for AR guidance is provided. The present invention may include detecting a plurality of objects in a video recording associated with completing a task. The present invention may include generating a plurality of three-dimensional (3D) object models based on scanning a plurality of real objects in a task space. The present invention may include matching the detected plurality of objects in the video recording with the generated plurality of 3D object models representing the plurality of real objects in the task space. The present invention may include generating, based on the video recording, an augmented reality (AR) guidance model for completing the task, wherein the generated AR guidance model replaces the detected plurality of objects in the video recording with the generated plurality of 3D object models representing the plurality of real objects in the task space.

Abstract: A method, computer system, and a computer program product for AR guidance is provided. The present invention may include detecting a plurality of objects in a video recording associated with completing a task. The present invention may include generating a plurality of three-dimensional (3D) object models based on scanning a plurality of real objects in a task space. The present invention may include matching the detected plurality of objects in the video recording with the generated plurality of 3D object models representing the plurality of real objects in the task space. The present invention may include generating, based on the video recording, an augmented reality (AR) guidance model for completing the task, wherein the generated AR guidance model replaces the detected plurality of objects in the video recording with the generated plurality of 3D object models representing the plurality of real objects in the task space.

Abstract: Some methods enable a first device to assist a second device in becoming authenticated with a content management system. The content management system can receive user credentials or an elevated access token from the first device. The content management system can respond to the first device with an access token for use by the second device. Alternatively, the content management system can send the access token directly to the second device. The second device can then use the access token for authenticated communications with the content management system.

Abstract: A medical image segmentation method based on a U-Net, including: sending real segmentation image and original image to a generative adversarial network for data enhancement to generate a composite image with a label; then putting the composite image into original data set to obtain an expanded data set, and sending the expanded data set to improved multi-feature fusion segmentation network for training. A Dilated Convolution Module is added between the shallow and deep feature skip connections of the segmentation network to obtain receptive fields with different sizes, which enhances the fusion of detail information and deep semantics, improves the adaptability to the size of the segmentation target, and improves the medical image segmentation accuracy. The over-fitting problem that occurs when training the segmentation network is alleviated by using the expanded data set of the generative adversarial network.

Abstract: Some methods enable a first device to assist a second device in becoming authenticated with a content management system. The content management system can receive user credentials or an elevated access token from the first device. The content management system can respond to the first device with an access token for use by the second device. Alternatively, the content management system can send the access token directly to the second device. The second device can then use the access token for authenticated communications with the content management system.

Abstract: The disclosure provides a method for detecting and defending a Distributed Denial of Service attack in an SDN environment. The method includes: building data messages acquired as feature messages by a proxy module; sending the feature messages to a pre-built detection model to obtain a detection result; making a decision instruction based on the detection result; and performing control operations by the proxy module based on the decision instruction.

Abstract: The present invention provides an array substrate and a display panel. The display panel includes the array substrate, a non-display region of the array substrate includes a fan-out region and a bonding pad region, and each fan-out lines of the fan-out region includes a first metal layer, a second metal layer, a third metal layer, and a fourth metal layer, which are arranged in a stack and are different materials.

Abstract: The present invention provides an array substrate and a display panel. The display panel includes the array substrate, a non-display region of the array substrate includes a fan-out region and a bonding pad region, and each fan-out lines of the fan-out region includes a first metal layer, a second metal layer, a third metal layer, and a fourth metal layer, which are arranged in a stack and are different materials.

Abstract: The present disclosure provides a mask device and a manufacturing method thereof, and an evaporation system. The mask device includes a frame, strip alignment plates and a strip support plate, hollow portions are provided in the strip alignment plates, and the strip alignment plates are fixed on the frame; the strip support plate and the strip alignment plates cross each other, a plurality of welding spots are provided on the surface of the strip support plate proximal to the frame, and are welded and fixed to the frame, and the plurality of welding spots are provided in the region of the strip support plate corresponding to the hollow portions.

Abstract: This disclosure provides a method, a computing system and a computer program product for optimizing computer-readable commands. The method includes detecting an intention of a set of commands based on a semantic model. The semantic model represents the set of commands and contexts of execution of the set of commands. The method further includes obtaining a predetermined semantic sub-model associated with the intention and updating the semantic model with the predetermined semantic sub-model. The method further includes generating a script of commands based on the updated semantic model.