Abstract: A tool posture control device includes a plurality of airbags, a gas supply module and a controller. A tool is allowed to be disposed among the airbags. A gas supply module connects the airbags. The controller is electrically connected to the gas supply module and configured to control the gas supply module to provide a plurality of gas to the airbags respectively according to a target bending angle value of the tool.

Abstract: Systems and methods are disclosed herein for governing memory allocation in response to job requests. In one embodiment, a job request may be received from a user, the job request specifying a data processing job to be completed. A memory usage limit and a quantity of memory needed for the data processing job may be determined. Upon determining that the quantity of memory needed for the data processing job exceeds the memory usage limit, instructions may be provided to cancel the data processing job. On the other hand, if the quantity of memory needed for the data processing job does not exceed the memory limit, execution of the data processing job may be allowed.

Abstract: Techniques for inferring whether an event is occurring in 3D space based on 2D image data and for maintaining a camera's calibration are disclosed. An image of an environment is accessed. Input is received, where the input includes a 2D rule imposed against a ground plane. The 2D rule includes conditions indicative of an event. A bounding box is generated and encompasses a detected object. A point within the bounding box is projected from a 2D-space image plane of the image into 3D space to generate a 3D-space point. Based on the 3D-space point, a 3D-space ground contact point is generated. That 3D-space ground contact point is reprojected onto the ground plane of the image to generate a synthesized 2D ground contact point. A location of the synthesized 2D ground contact point is determined to satisfy the conditions.

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 material completeness detection method configured to detect whether materials of a target object in a physical production line are complete, includes: inputting an image of the target object in the physical production line into a material completeness detection algorithm to acquire a first detection result; inputting a virtual model of the target object in a virtual production line into the material completeness detection algorithm to acquire a second detection result, where the virtual production line is a DT of the physical production line; and acquiring a material completeness detection result of the target object based on the first detection result and the second detection result. The embodiments of the present disclosure can realize efficient and accurate material completeness detection.

Abstract: A semiconductor device structure is provided. The semiconductor device structure includes a substrate including a base and a fin structure over the base. The fin structure includes a nanostructure. The semiconductor device structure includes a gate stack over the base and wrapped around the nanostructure. The gate stack has an upper portion and a sidewall portion, the upper portion is over the nanostructure, and the sidewall portion is over a first sidewall of the nanostructure. The semiconductor device structure includes a first inner spacer and a second inner spacer over opposite sides of the sidewall portion. A sum of a first width of the first inner spacer and a second width of the second inner spacer is greater than a third width of the sidewall portion as measured along a longitudinal axis of the fin structure.

Abstract: A method for quantifying a structural feature forecast error of a meteorological element based on a graphical similarity is based on the concept of graphical similarity to propose a normalized evaluation technique for a forecast error of a scalar meteorological element such as rainfall, radar reflectivity, temperature, visibility, or wind speed. The method can objectively and truly reflect the true capability of forecasting the meteorological element such as precipitation.

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: An identity recognition method, an apparatus, a computer device, and a storage medium are provided. The method includes: obtaining a signal to be identified which includes a millimeter wave signal and an audio signal; performing living feature detection based on the millimeter wave signal and the audio signal, and acquiring a living millimeter wave signal and a living audio signal; performing feature fusion of the living millimeter wave signal and the living audio signal, and acquiring a fusion response diagram of a living voice signal; and performing identity recognition based on the fusion response diagram of the living voice signal.

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: Described herein are compositions comprising RNA origami (RNAOG) which include 5-fluorouracil (5FU) or analogues thereof are described which can be used to both directly treat a cancer by inhibiting a biochemical pathway overexpressed in a cancer cell and indirectly treat a cancer by inducing an anti-cancer immune response. Also described herein are methods of using said compositions for treating cancer, inducing an anti-cancer immune response, and/or killing a cancer cell.

Abstract: A busbar assembly includes a first busbar configured to connect two adjacent battery units. The first busbar includes a first connection part and a second connection part. The first connection part is used to connect a first electrode terminal of one of the battery units. The second connection part is used to connect the second electrode terminal of the other one of the battery units, and the second connection part and the first connection part are in staggered arrangement. The first connection part and the second connection part of the first busbar are in staggered arrangement, to match a vertical distance between a lead surface of the second electrode terminal and a lead surface of the first electrode terminal on a same side of the battery units.

Abstract: Provided is a liquid crystal handwriting board. The liquid crystal handwriting board includes: a liquid crystal panel, a photosensitive assembly, and a control assembly; wherein the liquid crystal panel includes a first substrate and a second substrate that are opposite; the photosensitive assembly includes a plurality of photosensitive elements; and the control assembly is electrically connected to the liquid crystal panel and the photosensitive assembly, and is configured to determine position information of a pixel region for erasure by detecting position information of target light irradiated to the liquid crystal panel by the photosensitive assembly and supply a pixel voltage to the plurality of pixel electrodes in the pixel region for erasure, such that a voltage difference is present between the plurality of pixel electrodes in the pixel region for erasure and the common electrode.

Abstract: An instance segmentation method and apparatus are provided. A to-be-trained segmentation network performs the following processing on each instance group that is in a sample original image and that is of pixels of a marked instance, where each instance group includes at least one marked instance, and the processing includes: predicting at least two different first basic feature maps and a first attention feature map corresponding to each first basic feature map; performing weighted processing on the at least two first basic feature maps and pixel values of respective first attention feature maps corresponding to the at least two first basic feature maps, to obtain a first feature fusion map; and training the to-be-trained segmentation network based on the first feature fusion map and the sample original image. A segmentation model can precisely determine pixels of an instance in an original image.

Abstract: A filter includes an inductor and a capacitor. A first electrode of the capacitor is connected to a first terminal of the inductor. The filter further includes: a base substrate, having at least one functional hole; at least one heat dissipation column, arranged corresponding to the at least one functional hole, where the heat dissipation column is filled in the functional hole corresponding thereto; and a first conductive layer, located on a side of the base substrate. The first conductive layer includes a first conductive line, a first transfer line, and a second conductive layer. The second conductive layer includes a second conductive line and a third conductive line.

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: A method and device for configuring zones of a Zoned Namespace (ZNS) Solid State Drive (SSD) are provided. The method includes determining types of sizes of zones into which storage space of the ZNS SSD is to be divided and a number of zones having each type of size, and sending information indicating the types of the sizes of the zones and the number of zones having each type of size to the ZNS SSD such that the storage space of the ZNS SSD is divided into zones having different sizes.

Abstract: A storage device includes: a NAND chip array having a plurality of NAND chips; a ZONE switcher configured to control output of write data to a ZONE cache when a ZONE write command is received; the ZONE cache configured to cache the write data in a cache space corresponding to a ZONE among a plurality of zones; and a ZONE persistence controller configured to control storing, in parallel, the write data in at least two of the plurality of ZONEs cached in the ZONE cache in NAND chips of the NAND chip array corresponding to the plurality of ZONEs.

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: A health managing method, a computing device and a storage medium are disclosed. The health managing method includes: connecting to an object information database, and acquiring at least one piece of physical sign data of an object from the object information database, wherein the at least one piece of physical sign data includes an examination result of at least one physical sign examination item in which the object participates; automatically determining at least a health management influencing factor at least based on the at least one piece of physical sign data; and automatically generating a coping approach recommendation form at least based on the health management influencing factor, wherein the coping approach recommendation form is used to generate a coping approach suggestion form.