Abstract: Embodiments relate to graph-based design mapping and function route generation. A computer-implemented method includes analyzing first user interfaces and second user interfaces to identify features of each user interface, where the second user interfaces include at least one change to the first user interfaces. A first graph representing the features of the first user interfaces and a second graph representing the features of the second user interfaces are generated. A function mapping is determined based on a similarity calculation between the first graph and the second graph. A node that satisfies an influence threshold is recommended to do limited manual labeling. The function mapping is updated based on the labeling. A visualization of the function mapping is created between the first user interfaces and the second user interfaces. Function route generation can be performed.

Abstract: According to one embodiment, a method, computer system, and computer program product for pollen prediction is provided. The present invention may include identifying, by a classification model, plant species within a plurality of locatable images taken at a plurality of locations; creating growth cycle prediction models for the plant species; modelling pollen count mappings for the plant species; predicting pollen yields at the locations for the plant species based on the growth cycle prediction models and the pollen count mappings; and calculating a pollen distribution at the locations based on the predicted pollen yields and aerodynamic models.

Abstract: Method and apparatus for video processing. A plurality of videos are accessed. An index is generated based on one or more key frames and one or more video features extracted from the plurality of video. A user input is processed to identify user intentions. The index is filtered to identify a plurality of candidate key frames based on the user intentions. A recommended video is generated based on the plurality of candidate key frames, further comprising selecting one or more additional frames based on processing the plurality of candidate key frames using one or more clustering operations, and aggregating the plurality of candidate key frames and the one or more additional frames.

Abstract: An embodiment for detecting anomalous data using dependency modeling. The embodiment may, within a target data environment, identify references between data contained in one or more data files. The embodiment may determine dependency relationships between data fields in the data contained in the one or more data files. The embodiment may construct computational graphs depicting the determined dependency relationships as series of related data fields. The embodiment may identify a series of associated computational graphs within the constructed computational graphs. The embodiment may calculate abnormality degree values for each of the data fields within the constructed computation graphs. The embodiment may, in response to detecting an anomalous data field having a calculated abnormality degree value above a threshold value, calculating contribution values for a series of associated component data fields to identify a root cause for the detected anomalous data field.

Abstract: Methods improving metal oxide deposition with nitrogen oxide, related devices, and related systems are provided herein. The method comprises flowing an ozone gas from an ozone generator to a deposition chamber. The method comprises flowing a nitrogen oxide gas from a first source to the deposition chamber. The method comprises flowing a first precursor gas from a second source to the deposition chamber. The method comprises exposing a substrate located in the deposition chamber to at least one of the ozone gas, the nitrogen oxide gas, the first precursor gas, or any combination thereof. The method step of exposing is sufficient to form a film having a step coverage of at least 50%. The substrate has at least one structure with an aspect ratio of at least 10:1.

Abstract: An embodiment for detecting anomalous data using dependency modeling. The embodiment may, within a target data environment, identify references between data contained in one or more data files. The embodiment may determine dependency relationships between data fields in the data contained in the one or more data files. The embodiment may construct computational graphs depicting the determined dependency relationships as series of related data fields. The embodiment may identify a series of associated computational graphs within the constructed computational graphs. The embodiment may calculate abnormality degree values for each of the data fields within the constructed computation graphs. The embodiment may, in response to detecting an anomalous data field having a calculated abnormality degree value above a threshold value, calculating contribution values for a series of associated component data fields to identify a root cause for the detected anomalous data field.

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: One or more systems, devices, computer program products and/or computer-implemented methods provided herein facilitate generation of an essentialized document that aids a technician in solving a problem with an asset. In an embodiment, the essentialized document is customizable based on technician skill. In another embodiment, the essentialized document is customizable based on the asset and asset components at issue.

Abstract: A computer hardware system includes a video analyzer configured to assist in a presentation of at least a portion of a video to a plurality of participants by a presenter on a presenter client and a hardware processor configured to perform the following executable operations. The video is analyzed to generate a plurality of segments. Presenter data is captured during the presentation, and presenter intent is determined based upon the presenter data. Based upon the presenter intent, forward-looking controls are presented only to the presenter client. One of the plurality of segments is identified using at least one of the presenter intent and the forward-looking controls. The identified one segment is presented to the plurality of participants.

Abstract: Embodiments relate to graph-based design mapping and function route generation. A computer-implemented method includes analyzing first user interfaces and second user interfaces to identify features of each user interface, where the second user interfaces include at least one change to the first user interfaces. A first graph representing the features of the first user interfaces and a second graph representing the features of the second user interfaces are generated. A function mapping is determined based on a similarity calculation between the first graph and the second graph. A node that satisfies an influence threshold is recommended to do limited manual labeling. The function mapping is updated based on the labeling. A visualization of the function mapping is created between the first user interfaces and the second user interfaces. Function route generation can be performed.

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: An approach for assisting software developers to fill the data gap and reproducing client application issue using reported reproducing steps is disclosed. The approach involves constructing service request/response sequence (from the developer's side based on the limited data) from customer's reproducing steps and developer's running inspection result and perform UI-service mapping, redirecting service call to data simulator which replay the service request and response, and adjusting service response with multiple data sources and policies. Lastly, the approach can transform the issue to an automatic test script with the service response in a mockup function (e.g., can be used to extend test data and enhance test cases).

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 process for forming multifunctional carbon nanotubes-glass fiber-epoxy composites with high density interfaces for microwave absorption and structural materials application useful as a multifunctional microwave absorption and low-weight structural material without a need of additional coating.

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: 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: An approach for assisting software developers to fill the data gap and reproducing client application issue using reported reproducing steps is disclosed. The approach involves constructing service request/response sequence (from the developer's side based on the limited data) from customer's reproducing steps and developer's running inspection result and perform UI-service mapping, redirecting service call to data simulator which replay the service request and response, and adjusting service response with multiple data sources and policies. Lastly, the approach can transform the issue to an automatic test script with the service response in a mockup function (e.g., can be used to extend test data and enhance test cases).

Abstract: A computer-implemented method includes: extracting, by one or more processors, media data from an information technology ticket; extracting, by one or more processors, a plurality of data elements from the media data; and generating, by one or more processors, a ticket knowledge graph based on the plurality of data elements, wherein a node of the ticket knowledge graph represents a data element, and an edge between a first node and a second node in the ticket knowledge graph represents a correlation between a first data element represented by the first node and a second data element represented by the second node.

Abstract: Aspects of the present disclosure relate to support content generation. An issue description is received from a user. A software feature associated with the issue description is identified using a trained classification model. A base image associated with the software feature is obtained. The base image is modified to add information indicated in the issue description, wherein the modified base image is generated support content. The generated support content is transmitted.

Abstract: Aspects of the present disclosure relate to support content generation. An issue description is received from a user. A software feature associated with the issue description is identified using a trained classification model. A base image associated with the software feature is obtained. The base image is modified to add information indicated in the issue description, wherein the modified base image is generated support content. The generated support content is transmitted.