Abstract: Disclosed is a noise detection circuit comprising: a control module configured to control a drive module such that a to-be-detected capacitor is charged with a first voltage in a first period, and the control module controls a cancellation module such that a cancellation capacitor is charged with the first voltage in the first period, or such that both terminals of the cancellation capacitor are connected to the first voltage; the control module controls the cancellation module such that a first terminal of the to-be-detected capacitor is connected to a first terminal of the cancellation capacitor in a second period; the control module controls a charge transfer module such that charges of the to-be-detected capacitor and charges of the cancellation capacitor are converted in a third period to generate an output voltage; and a processing module configured to determine a noise value at least based on the output voltage.

Abstract: A method and a control device for returning of command response information, and an electronic device are provided. The method includes: receiving response information for a command request, the response information carrying a status identification and a level identification of the command request; storing the response information in a corresponding level of a data queue in accordance with the level identification, where the data queue includes multiple levels, and each level of the data queue is used to store one or more pieces of response information; scanning all levels of the data queue, and determining, a level in which all parts of response information are collected, as a candidate level; determining a first piece of response information in accordance with a status identification of the response information stored in the candidate level; and outputting the first piece of response information.

Abstract: A computer system receives a first set of information that describes a set of transactions between pairs of user accounts of a service and a second set of information that specifies attribute values for user accounts of the service that are recipient user accounts within the set of transactions. Using the first set of information and the second set of information, the computer system generates an augmented graph model of the transactions and attribute values. By applying modularity maximization to the augmented graph model, the computer system determines a plurality of subsets of recipient user accounts.

Abstract: This disclosure provides a data sending method and apparatus, and a device, and pertains to the field of communications technologies. An example method includes: receiving an uplink data packet sent by UE; if a signaling message is carried in the uplink data packet, separating the signaling message from the uplink data packet, where the signaling message is used to request to establish a PDU session or request to activate an established PDU session; forwarding the signaling message to a control plane device; and before an available PDU session exists, forwarding, based on a data forwarding message carried in the uplink data packet sent by the UE, data in the uplink data packet sent by the UE.

Abstract: Systems and methods for emulator detection are disclosed. In one embodiment, a user agent string may be embedded into a first numerical data vector representation. Hardware characteristics of a client device corresponding to the user agent may be embedded into a second numerical data vector representation. Based on the first numerical data vector representation of the user agent and the second numerical data vector representation of the hardware characteristics, and their consistency, the client device may be determined to be an emulator or a non-emulator device.

Abstract: Systems and methods for detecting network anomalies are described. These may include determining burst scores for external network resources, determining burst scores for internal network resources, and using the burst scores to construct a burst graph where the edges are weighted by the number of connections between each resource. The graph is then analyzed by a graph convolutional neural network to identify patterns from which anomalous network traffic can be detected and from which corrective action can be taken. These techniques can allow for better detection and mitigation of abusive network traffic, improve computer network security, and provide more robust access to networked computer resources.

Abstract: Techniques are disclosed for determining predictions from a graph of a network dataset. The graph of the network dataset may include nodes describing entities and edges describing connections or links between the entities. Predictions may be made using a dual-path convolution network that considers both node connectivity and node topology. Node topology includes assessment of similarities in topology roles between nodes in the graph, even nodes that reside in different parts of the graph. The node connectivity and node topology in the dual-path convolution may be aligned using a multi-head attention network. Outputs from previous layers of the multi-head attention network may be provided as inputs to subsequent layers of the dual-path convolution to mutually reinforce the convolutions determining node connectivity and node topology toward alignment.

Abstract: A frame for constructing nerve tract is provided, including microcatheters, a support, and a shell. The shell is configured to contain a culture medium inside. The microcatheters are configured to culture nerve cells. The multiple microcatheters are suspended and fixed into the shell by the support, the microcatheters are arranged along a direction from one end to the other end of the shell, catheter walls of the microcatheters are provided with through holes, the nerve cells in the microcatheter cannot flow out through the through holes, and the culture medium enters the microcatheter through the through holes. A method for constructing nerve tract based on the frame described is provided, including: filling the nerve cells wrapped with a collagen hydrogel stock solution into the microcatheters, and after the collagen hydrogel stock solution is completely cross-linked, placing the frame loaded with the nerve cells in a culture device for perfusion culture.

Abstract: Systems and/or techniques for facilitating image forgery detection via pixel-metadata consistency analysis are provided. In various embodiments, a system can receive an electronic image from a client device. In various cases, the system can obtain a pixel vector and/or an image metadata vector that correspond to the electronic image. In various aspects, the system can determine whether the electronic image is authentic or forged, based on analyzing the pixel vector and the image metadata vector via at least one machine learning model.

Abstract: Downlink signal monitoring and transmitting method, and parameter configuration method and apparatus. The method includes: monitoring a downlink signal by a terminal equipment according to an antenna port quasi-co-location parameter; wherein the antenna port quasi-co-location parameter is related to a first cell and/or a second cell, or is related to a first reference signal index and a second reference signal index. Hence, even though a network device configures multiple carriers for the terminal equipment, the terminal equipment may be able to accurately determine an antenna port quasi-co-location parameter for receiving a downlink signal.

Abstract: A microelectronic socket structure and a method of forming the same. The socket structure comprises: a socket structure housing defining a cavity therein; and an interconnection structure including: a contact element disposed at least in part within the cavity, and configured to be electrically coupled to a corresponding microelectronic package, the contact element corresponding to one of a signal contact element or a ground contact element; and a conductive structure disposed at least in part within the cavity, electrically coupled to the contact element, and having an outer contour that is non-conformal with respect to an outer contour of the contact element.

Abstract: A method for scheduling resources is disclosed herein. A terminal device receives a downlink control information (DCI) indication sent by a network device. The DCI is used to indicate a first resource, and the first resource is a time-frequency resource for a narrowband physical uplink shared channel (NPUSCH) format 2 transmission. The NPUSCH format 2 is used to bear downlink hybrid automatic repeat request-acknowledgment (HARQ-ACK) feedback information. The terminal device determines the first resource according to the DCI, and sends a scheduling request to the network device on the first resource.

Abstract: A method for executing a task by a scheduling device, belonging to the technical field of electronics. The method includes: acquiring a target algorithm corresponding to a target task to be executed; acquiring an execution environment condition for a target algorithm, and current execution environment information of various execution devices; in the execution devices, determining a target execution device of which the execution environment information satisfies the execution environment condition; and sending a control message for executing the target task to the target execution device.

Abstract: A wireless communication method and device and a communication system. The method includes: a terminal equipment receives a downlink data signal at a time unit n, the downlink data signal including activation/deactivation command acting on a secondary cell; and the terminal equipment performs at least one of the following processing: applying corresponding actions not earlier than a time unit n+k+1; applying actions related to a deactivation timer of the secondary cell at the time unit n+k+1; and applying actions related to CSI report after a time unit n+k, the CSI report being related to or corresponding to the activation/deactivation command, and the time unit referring to a time unit corresponding to transmission of an uplink control signal, the uplink control signal carrying HARQ-ACK information corresponding to the downlink data signal.

Abstract: Embodiments of the present disclosure provide a method. According to the method, a mark is added to a data packet. After user equipment is handed over from an original device to a target device, and before a user plane network element receives a handover notification, the user plane network element sends, through a path used before handover, a data packet that carries a first mark to the original device. The original device modifies the first mark in the data packet to a second mark, and then forwards, to the target device, a data packet whose mark is modified and that carries the second mark. After receiving the handover notification, the user plane network element sends, to the target device, a data packet that carries a fourth mark. The target device can distinguish between sources of the received data packets based on different marks in the received data packets.

Abstract: Systems and methods for user-agent anomaly detection are disclosed. In one embodiment, a user-agent string may be embedded into a numerical data vector representation using a sentence embedding algorithm (e.g., FastText). A predictive score may be calculated based on the numerical data vector representation and using a probability distribution function model that models a likelihood of occurrence of the observed user-agent based on patterns learned from historic payload data (e.g., a Gaussian Mixture Model). The predictive score may be compared to a threshold and, based on the comparison, it may be determined whether the user-agent is fraudulent.

Abstract: A method for constructing a prediction model of an auto trips quantity and a prediction method and system are disclosed. The prediction model construction method designs a deep neural network Multitask GCN-LSTM based on GCN and LSTM for predicting the auto trips quantity. The deep neural network comprises three modules, wherein the three modules are respectively used for extracting a spatial correlation, a temporal correlation and a feature fusion. The prediction method and system predict the auto trips quantity based on a model constructed. By considering a road segment local relationship and a road segment global relationship and taking an auto arrival quantity as a related task in constructing the model, the prediction model construction method uses a multi-task learning method to avoid overfitting of the deep neural network and reduce a prediction error of the auto trips quantity effectively.

Abstract: A method for performing an action associated with a motion based input. the method comprises: measuring, using a motion sensor of a computing device, motion data representing a detected motion of the computing device; measuring, using a proximity sensor of the computing device, proximity data representing a proximity of the computing device to an object over a duration of the detected motion; matching the measured motion data and measured proximity data to a gesture based on the detected motion and the proximity of the computing device to the object over the duration of the detected motion; and in response to matching the measured motion data and measured proximity data to the gesture, performing an action associated with the gesture.

Abstract: A capacitance detection apparatus and earphone. The capacitance detection apparatus includes a front housing and a rear housing, where the capacitance detection apparatus includes: a circuit board, a sensing electrode and a processing unit which are provided at the front housing, where the circuit board, the sensing electrode and the processing unit are integrated together; the sensing electrode is arranged in a first area of the circuit board, the processing unit is arranged in a second area of the circuit board, and the sensing electrode and the processing unit are electrically connected through a metal wiring layer in the circuit board; the sensing electrode is configured to sense a to-be-measured object and form a capacitance detection signal, the capacitance detection signal is transmitted to the processing unit through the metal wiring layer, and the processing unit is configured to process the capacitance detection signal to detect the to-be-measured object.

Abstract: An arrival reminding method includes: a processor receiving an arrival reminding request; putting the processor to sleep after determining a target public traffic station which needs to be subjected to arrival reminding; a low-power-consumption chip acquiring the number of target stations that need to be passed in order to reach the target public traffic station; and when the number of the stations that have been passed is identified, by means of a collected audio signal, and found to be consistent with the number of the target stations, waking the processor to execute a preset arrival reminding operation.