Abstract: A system and method for adaptive color assignments to image labels during annotation of datasets includes preparing a dataset for image labeling by an annotator by: leveraging a global color analyzer to perform a global color distribution of a plurality of images to identify one or more overall colors present in the plurality of images, and a local color analyzer to perform a local color distribution for each image to identify one or more colors present in an area of interest of the image, and selecting a plurality of candidate colors to be used as image labels by the annotator, based on an output of the global color analyzer and an output of the local color analyzer.

Abstract: An approach is provided in which the approach receives an image that includes multiple image points and constructs a plane in the image based on a first subset of the plurality of image points. The approach identifies a second subset of the image points that belong to the plane and are not part of the first subset of image points, and removes the first subset of image points and the second subset of image points form the image points. The approach annotates the remaining subset of image points in the image.

Abstract: In an aspect for generating a 2-dimensional (2D) building mapping, a computer-implemented method may include one or more processors configured for receiving scanning data in a first file format corresponding to 3-dimensional (3D) aerial Light Detection and Ranging (LiDaR) images. Further, the method may include transforming the first file format to a second file format and transmitting the scanning data to a building semantic segmentation component. Further, the computer-implemented method may include generating semantic segmentation data corresponding to building structures defined by point clusters; generating instance segmentation data corresponding to top surfaces of the building structures; generating building boundary data for each one of the point clusters based on one or more of the semantic segmentation data and the instance segmentation data; and processing the building boundary data to generate a 2D building mapping comprising refined boundary lines for each of the point clusters.

Abstract: In its many embodiments, the present invention provides certain 7-, 8-, and 10-substituted amino triazolo quinazoline derivatives of Formula (I): or a pharmaceutically acceptable salt thereof, wherein ring A, R1, R2, and R4 are as defined herein, pharmaceutical compositions comprising one or more such compounds (alone and in combination with one or more other therapeutic agents), and methods for their preparation and use, alone and in combination with other therapeutic agents, as antagonists of A2a and/or A2b receptors, and their use in the treatment of a variety of diseases, conditions, or disorders that are mediated, at least in part, by the adenosine A2a receptor and/or the adenosine A2b receptor.

Abstract: The present disclosure discloses a copper-niobium alloy for a medical biopsy puncture needle. A needle core and/or needle tube of the puncture needle are/is made of the copper-niobium alloy. The copper-chromium alloy includes the following components by mass: 5?Nb?15 and the balance of Cu. According to the present disclosure, a copper alloy with designed components is obtained by combining a diamagnetic material Cu with paramagnetic Nb, and compared with existing medical stainless steel and titanium alloy, the copper alloy has greatly reduced magnetic susceptibility, and specifically, the artifact area and volume are also significantly reduced. In addition, the blank of use of the copper alloy in medical biopsy paracentesis is filled.

Abstract: A system, method, and computer program product for implementing deep learning software model modification is provided. The method includes monitoring operational performance of a software model. An expected confidence level associated with the operational performance is first determined and it is determined that an inference associated with the expected confidence level is below a selected range of inferences associated with assigning new feature data as candidate video data. A candidate sequence comprising video data associated with the candidate video data is received and a similarity between frames of the candidate sequence is determined. A frame comprising a highest similarity with respect to segments of candidate video data is selected and it is detected that the frame is not associated with additional frames stored within a full cache structure. The software model is retrained such that the operational performance is modified.

Abstract: A production system for insoluble sulfur includes a polymeric kettle having a first discharge port and a quench tower (200) having a feed port. The first discharge port is in communication with the feed port. The quench tower has a cylindrical housing, a granulation device and a shear pump. A solvent inlet and a quenching agent inlet, which are respectively used for providing a solvent and a quenching agent, are arranged on the side wall of the housing. The sulfur production method includes raising the temperature of liquid sulfur under the protection of an initiator and nitrogen to perform polymerization reaction; introducing the polymerized material into the quenching tower and sequentially carrying out granulation and quenching treatment; carrying out solvent curing and extraction integrated treatment on the quenched product; and carrying out liquid phase circulating crushing and extraction integrated treatment on the cured and extracted product.

Abstract: A master clock signal for an image capture device and a light emission device is accessed. The master clock signal is divided to generate a high frequency clock signal. A frame timer is used to measure a frame time of the image capture device based on cycles of the high frequency clock signal. Based on an exposure timing signal from the image capture device, estimating an exposure start time for the image capture device; is estimated. Based on the estimated starting time, the light emission device begins emission of a positional tracking pattern at the estimated starting time and for a duration determined by the measured frame time of the image capture device.

Abstract: Applications of butylidenephthalide (BP), comprising the use of BP in providing a kit for promoting differentiation of stem cells into brown adipose cells, and the use of BP in preparing a medicament, wherein the medicament is used for inhibiting the accumulation of white adipose cells, promoting the conversion of white adipose cells into brown adipose cells, inhibiting weight gain and/or reducing the content of triglycerides, glucose, and total cholesterol in blood.

Abstract: A method of fingerprint recognition for a fingerprint sensing circuit includes steps of: performing a first fingerprint sensing process including a first exposure operation and a first readout operation under a first light spot setting; and performing a second fingerprint sensing process including a second exposure operation and a second readout operation under a second light spot setting. Wherein, a host performs a first fingerprint recognition in response to the first fingerprint sensing process; and wherein, the second light spot setting and the first fingerprint recognition are performed simultaneously.

Abstract: Techniques are described with respect to processing a federated query. An associated computer-implemented method includes compiling a query received from a client computing system to generate a query statement and a query access plan. The query access plan incorporates a modified database access application programming interface (API) that supports data serialization. The method further includes executing the query access plan to transmit the query statement to a remote database system. The method further includes fetching a query result set from the remote database system including serialized binary large object (BLOB) data. The method further includes deserializing the serialized BLOB data of the query result set and populating an in-memory data structure with deserialized query results. In an embodiment, the method further includes transmitting the deserialized query results to the client computing system.

Abstract: A micro core-drilling testing system for high-pressure environment, including: a pressure chamber, a micro core-drilling testing platform and a control device. The micro core-drilling testing platform includes a lower tray, a middle tray, a hydraulic system, a stroke cylinder, a rock sample plate, a rock sample block, a pressure compensation device and a drilling rig. The drilling rig is configured to carry out core-drilling operation. The hydraulic system is configured to provide power for the drilling rig. The pressure compensation device is configured to balance the pressure inside the pressure chamber and the hydraulic system.

Abstract: A system, method, and computer program product for implementing video action recognition is provided. The method includes receiving a video stream comprising user movement actions. Skeleton points associated with a video representation of a user executing the user movement actions are extracted and categorized with respect to multiple digital levels. Initial visual windows points are generated within video frames and an average movement distance for the group of skeleton points are determined with respect to the video frames. In response, sizes for the visual windows are adjusted and feature vectors are extracted from the group of skeleton points. Point coordinates of the skeleton points are extracted and linked with the feature vectors. A convolutional neural network associated with linking the feature vectors with the point coordinates is generated and the video stream is enabled with respect to video action recognition associated with accurate presentation of the video stream.

Abstract: Methods, systems, and devices for wireless communications are described. In some examples, a user equipment (UE) may communicate with a base station using multiple receivers and receive an indication from the base station to activate a second bandwidth part of a set of bandwidth parts configured for the UE. In response to the indication, the UE may switch from operating in a first bandwidth part to operating in the second bandwidth part and adjust a quantity of active receivers at the UE based on switching from operating in the first bandwidth part to operating in the second bandwidth part. Additionally or alternatively, the UE may adjust the quantity of active receivers at the UE based on monitoring for downlink grants from the base station.

Abstract: The present invention discloses an Al2O3-based ceramic welding sealing component and a preparation method thereof, and relates to the technical field of metalized ceramic processing. The Al2O3-based ceramic welding sealing component disclosed in the present invention comprises a ceramic matrix and a metallized layer. The ceramic matrix is made from raw materials such as an inorganic fiber-aluminum oxide 3D network matrix, yttrium oxide, silicon oxide, titanium oxide, an additive, a binder and a dispersant, through steps such as preparation of the inorganic fiber-aluminum oxide 3D network matrix, mixing, pelletizing, primary sintering and secondary sintering; and the raw materials of the metallized layer comprise titanium powder, tungsten powder, molybdenum oxide, boron oxide, yttrium oxide and an organic binder.

Abstract: Computer automated interactive activity recognition based on keypoint detection includes retrieving, by one or more processors, a temporal sequence of image frames from a video recording. The one or more processors identify first and second keypoints in each of the image frames in the temporal sequence using machine learning techniques. The first keypoints are associated with an object in the temporal sequence of image frames while the second keypoints are associated with an individual interacting with the object. The one or more processors combine the first keypoints with the second keypoints and extract spatial-temporal features from the combination that are used to train a classification model based on which interactive activities can be recognized.

Abstract: The present disclosure discloses a fan driving device, and the fan driving device comprises a sensing unit and a processing unit, wherein the sensing unit at least comprises a microwave sensing module; the sensing unit is at least used for sensing whether any human activity exists within the action range based on microwave sensing according to a certain microwave sensing cycle, and outputting a sensing signal to the processing unit periodically; and the processing unit is used for processing the sensing signal, so that the driving device can adaptively control the turn-on and turn-off of the fan and adaptively regulate the working power of the fan. Based on this, a dynamic intelligent fan driving device without a user's turn-on and turn-off action and based on environmental state sensing is realized.

Abstract: An InGaN solar photovoltaic device includes a base band, a light absorption layer, an n-type ZnO electron transport layer, and a p-type InN hole transport layer, the p-type InN hole transport layer is on a front side of the light absorption layer, and the base band and the n-type ZnO electron transport layer are on a back side of the light absorption layer, wherein the light absorption layer includes a p-type InxGa1-XN layer and an n-type InyGa1-yN layer which are superposed, where 0.2<x<0.4 and 0.2<y<0.4, and the p-type InxGa1-XN layer and the n-type InyGa1-yN layer are doped with Si and Mg. The InGaN solar photovoltaic device with a flexible multi-layer structure features high in energy conversion efficiency, low in cost, simple in manufacturing, and easy to implement, and thus has a broad prospect in application.