Abstract: Disclosed are systems and methods for improving interactions with and between computers in computerized security and content monitoring, hosting and providing devices, systems and/or platforms. The disclosed systems and methods provide a novel framework that adaptively distinguishes between known people versus unknown people based on a dynamically applied, anonymous facial recognition methodology. The disclosed framework provides such functionality by recognizing faces within captured images without storing any information or annotations regarding or revealing the captured person's identity. The framework is configured to adaptively learn to distinguish between faces seen for the first time and faces it has previously seen by locally processing a captured image and only sending face embeddings to a network location for future comparisons of subsequently, anonymously captured images.

Abstract: A folding stroller, including a frame capable of being unfolded and folded, and a front wheel and a rear wheel, wherein the frame including a push rod connected to the front wheel at a bottom, and a rear support connected to the rear wheel at a bottom, any two of the push rod, the front support and the rear support are rotatably connected with each other, the remaining one is rotatably connected to at least one of the two, and when the frame is in an unfolded state, the push rod, the front support and the rear support are unfolded with respect to one another, and when the frame is in a folded state, the push rod, the front support and the rear support are close to one another, and the front wheel and the rear wheel are turned so that axles thereof extend along a front-rear direction.

Abstract: The present disclosure relates to the field of optical lenses and provides a camera optical lens. The camera optical lens includes, from an object side to an image side: a first lens made of a plastic material; a second lens made of a plastic material; a third lens made of a plastic material; a fourth lens made of a plastic material; a fifth lens made of a glass material; a sixth lens made of a plastic material; and a seventh lens made of a plastic material. The camera optical lens satisfies following conditions: 1.51f1/f2.50; 1.70n52.20; ?2.00f3/f42.00; ?10.00(R13+R14)/(R13?R14)10.00; and 0.01d9/TTL0.20. The camera optical lens can achieve a high imaging performance while obtaining a low TTL.

Abstract: Systems and methods are provided for assigning and associating resources in a cloud computing environment. Virtual machines in the cloud computing environment can be assigned or associated with pools corresponding to users as dedicated, standby, or preemptible machines. The various states provide users with the ability to reserve a desired level of resources while also allowing the operator of the cloud computing environment to increase resource utilization.

Abstract: A touch sensing system is configured to determine a state of a paper material indicative of a touch input on the paper material. The actions include receiving one or more values of features representing physical properties of a paper material. The system generates, by a pair of electrodes in a conductive material that is electrically connected with the paper material, an electric field in the conductive material. The paper material is configured to shunt current from the conductive material when the paper material is touched. The system measures the electric field in the conductive material in the conductive material. The system generates an approximation of the electric field in the conductive material. The system determines with a classifier a state of the paper material indicative of a touch input on the paper material.

Abstract: A method accurately evaluates a corresponding operation capacity for an operating characteristic of a to-be-evaluated object in a to-be-evaluated time period in combination with already-operated historical data of the to-be-evaluated object, which specifically includes: for a capacity influence factor in an operating process of an airspace unit, constructing a capacity similarity characteristic model to form a capacity similarity characteristic index set; acquiring historical data of an evaluation object, on the basis of the capacity similarity characteristic index set, classifying historical data samples of different time periods by a clustering algorithm, and generating a capacity similarity time period sample set to which an evaluation time period of the current evaluation object belongs; and classifying historical capacity values of the capacity similarity time period sample set by a density clustering algorithm, and calculating a capacity reference value on the basis of a maximum class cluster.

Abstract: A housing of a device comprises a screw boss that extends outwardly from a first base plate proximate to a corner of the housing. Additionally, the housing of the device includes a force dissipation member. The force dissipation member includes a central portion that is sized to detachably attach around the screw boss. The force dissipation member further includes at least two arms that extend outwardly from the central portion, wherein each arm of the at least two arms is attached to a different side of the two walls of the housing.

Abstract: A method for transacting a resource flow is provided. The method is applied to a blockchain server, and includes: acquiring initial transaction information for associating a requester client with a provider client, and sending the initial transaction information to other blockchain servers, to store the initial transaction information in respective corresponding blockchain database; acquiring certificate information indicative of a status of a resource flow usage of the requester client; and determining a first value indicative of a value added by the requester client to an account of the provider client based on the initial transaction information and the certificate information, and sending the first value to the other blockchain servers. An apparatus for transacting a resource flow, a computer equipment, and a computer-readable medium are further provided.

Abstract: Techniques to ensemble machine learning (ML) models are provided. A plurality of residues is generated by processing a plurality of input records using a plurality of ML models. A plurality of data clusters is identified by evaluating, using a clustering model, the plurality of input records and the plurality of residues. A first ensemble is generated for a first data cluster of the plurality of data clusters, where the first ensemble comprises one or more of the plurality of ML models. Upon determining that a new input record corresponds to the first data cluster, the new input record is processed using the first ensemble.

Abstract: Systems and techniques that facilitate few-shot temporal action localization based on graph convolutional networks are provided. In one or more embodiments, a graph component can generate a graph that models a support set of temporal action classifications. Nodes of the graph can correspond to respective temporal action classifications in the support set. Edges of the graph can correspond to similarities between the respective temporal action classifications. In various embodiments, a convolution component can perform a convolution on the graph, such that the nodes of the graph output respective matching scores indicating levels of match between the respective temporal action classifications and an action to be classified. In various embodiments, an instantiation component can input into the nodes respective input vectors based on a proposed feature vector representing the action to be classified.

Abstract: The present utility model relates to a device for improving gas detection in a photoionization detector. A gas detector is provided. The device reduces interference of photoelectric noise on the reading of the gas detector for target gases such as volatile organic compounds.

Abstract: A quinoline derivative compound shown in formula (II), a pharmaceutically acceptable salt thereof, and an application of the same in preparing a drug for treating a disease related to a tyrosine kinase inhibitor.

Abstract: A process for transglucosylation of steviol glycosides. A sweetener composition comprises at least 95% total glycosylated steviol glycosides.

Abstract: A substrate for an electronic device includes an insulating layer; a via extending into the insulating layer; a light shielding layer in the via; and a thin film transistor comprising an active layer on the light shielding layer and in the via. The light shielding layer is configured to shield light from irradiating on the active layer.

Abstract: The present disclosure relates to a pixel structure. The pixel structure may include a base substrate; a first insulating island on a side of the base substrate; a first electrode on a side of the first insulating island opposite front the base substrate; a second electrode on the base substrate and at a peripheral area of the first insulating island; an active layer electrically connected to the first electrode and the second electrode; a second insulating layer on a side of the active layer opposite from the base substrate; a gate electrode on a side of the second insulating layer opposite from the base substrate; and a third insulating layer on a side of the gate electrode opposite from the base substrate.

Abstract: A method, system, and program product for generating and modifying a video response is provided. The method includes receiving an audio/video file. Parsed video features of the audio/video file are generated with respect to a first graph. Parsed audio features of the audio/video file are generated with respect to a second graph. The first graph is placed overlaying the second graph and at least one intersection point between the first graph and the second graph is determined. A natural language query is executed with respect to the audio/video file and a parsed query entity is generated from the natural language query. The parsed query entity is analyzed with respect to the intersection point and a node of the intersection point comprising similar features is determined with respect to the parsed query entity. A resulting natural language response with respect to the natural language query is generated.

Abstract: A method, a structure, and a computer system for decomposing speech. The exemplary embodiments may include one or more encoders for generating one or more encodings of a speech input comprising rhythm information, pitch information, timbre information, and content information, and a decoder for decoding the one or more encodings.

Abstract: Methods, systems, and computer programs encoded on a computer storage medium, for training and using machine learning models are disclosed. Methods include creating a model that represents relationships between user attributes, content exposures, and performance levels for a target action using organic exposure data specifying one or more organic exposures experienced by a particular user over a specified time prior to performance of a target action by the particular user and third party exposure data specifying third party exposures of a specified type of digital component to the particular user over the specified time period. Using the model, an incremental performance level attributable to each of the third party exposures at an action time when the target action was performed by the particular user is determined. Transmission criteria for at least some digital components to which the particular user was exposed are modified based on the incremental performance.

Abstract: Techniques of keyless authentication of computing services in distributed computing systems are disclosed herein. One example technique includes upon receiving a command to instantiate a computing service, transmitting a request to an authentication service for an identity assertion token corresponding to an application execution of which instantiates the computing service. The example technique can also include upon receiving the requested identity assertion token, storing the received identity assertion token in the container and modifying an entry of a configuration file in the container that allows the instantiated computing service to access the stored identity assertion token and authenticate to the authentication service using the identity assertion token.

Abstract: Provided are a method, an apparatus and an electronic device for determining a knowledge sample data set, the method includes: acquiring a preset number of SPO triplet formats and source texts; acquiring, according to the SPO triplet formats, n SPO entries corresponding to the SPO triplet formats; searching, in the source texts, m first texts that match the n SPO entries, and generating a first knowledge sample data set; determining k second texts that meet the SPO triplet formats from the m first texts and generating a second knowledge sample data set; generating a target knowledge sample data set according to the first knowledge sample data set and the second knowledge sample data set. In the embodiments, the knowledge sample data set is automatically generated, the volume generation speed is fast, the cost is low, and the data size that can be produced is large, thus meeting the training requirement.