Abstract: Some embodiments provide a method for generating microsegmentation recommendations, performed by a network monitoring service implemented in a public cloud to monitor data flows for a group of datacenters. The method receives a selection of a set of logical network compute nodes (LNCNs) located at a particular datacenter for which to generate recommended rules. The method analyzes flows collected by the network monitoring service in order to generate a set of recommended rules relating to the set of LNCNs. The method provides the set of rules to a local manager at the particular datacenter for the local manager to configure network elements at the particular datacenter to enforce the set of rules. The rules use compute node identifiers for LNCNs located at the particular datacenter and network addresses for LNCNs located at other datacenters as the local manager does not store data regarding compute nodes located at the other datacenters.

Abstract: Described are a system, method, and computer program product for state compression in stateful machine learning models. The method includes receiving a transaction authorization request for a transaction and loading at least one encoded state of a recurrent neural network (RNN) model from a memory. The method further includes decoding the at least one encoded state by passing each encoded state through a decoder network to provide at least one decoded state. The method further includes generating at least one updated state and an output for the transaction by inputting at least a portion of the transaction authorization request and the at least one decoded state into the RNN model. The method further includes encoding the at least one updated state by passing each updated state through an encoder network to provide at least one encoded updated state, and storing the at least one encoded updated state in the memory.

Abstract: The present disclosure relates to a liquid-cooling radiating pipe and a vacuum interrupter with a built-in liquid-cooling radiating pipe, belonging to the field of vacuum circuit breakers. Based on an original structure of an vacuum interrupter, a liquid-cooling radiating pipe of a Tesla valve structure is arranged in a conductive rod of the vacuum interrupter with the built-in liquid-cooling radiating pipe, and liquid metal is used as a circulating coolant in the liquid-cooling radiating pipe, and by using the self-circulating flow of the liquid metal in the pipeline, the capacity of the conductive rod to dissipate heat to the outside is significantly increased, and the problem of excessive internal temperature rise of a vacuum circuit breaker is effectively solved.

Abstract: A bracket, a module assembly, and an electronic device, so as to improve position stability of the module in the electronic device. Two first limiting parts arranged opposite to each other are arranged at two ends of the bracket, a second limiting part is arranged on at least one side of the bracket, and the two first limiting parts and the second limiting part are enclosed to form a mounting position for mounting the module. Both the first limiting parts and the second limiting part may limit the module, so as to limit in all directions and ensure position stability of the module in the bracket. The bracket is further fixed to the electronic device through fixing parts, so that the position stability of the module in the electronic device may be improved.

Abstract: A method for cutting or extracting video clips from a video, including the audio content relevant to points of particular interest, and combining the same for instruction or training on particular points; a computing device applying the method extracts text information from the spoken audio content of a video to be cut and obtains multiple paragraph segmentation positions as candidates for inclusion in a desired and finished presentation by analyzing the information from text representing the spoken audio content, the analysis being carried out by a semantic segmentation model. Candidate items of text are obtained by isolating pieces of text according to the paragraph segmentation positions. Time stamps of the candidate text segments are acquired, and candidate video clips are obtained by cutting the video according to the acquired time stamps.

Abstract: Methods, systems, and computer program products are provided for cleaning noisy data from unlabeled datasets using autoencoders. A method includes receiving training data including noisy samples and other samples. An autoencoder network is trained based on the training data to increase a first metric based on the noisy samples and to reduce a second metric based on the other samples. Unlabeled data including unlabeled samples is received. A plurality of third outputs is generated by the autoencoder network based on the plurality of unlabeled samples. For each respective unlabeled sample, a respective third metric is determined based on the respective unlabeled sample and a respective third output, and whether to label the respective unlabeled sample as noisy or clean is determined based on the respective third metric and a threshold. Each respective unlabeled sample determined to be labeled as noisy is cleaned.

Abstract: In one aspect, a computerized method for detecting reconnaissance and infiltration in data lakes and cloud warehouses, comprising: monitoring a SaaS data store or a cloud-native data store from inside the data store; examining the attack and automatically identifies how far the attack has progressed in the attack lifecycle; identifying the target and scope of the attack evaluates how far the attackers have penetrated the system and what is their target; and establishing the value of the asset subject to the attackers' attack and maps the impact of the attack on the CIA (confidentiality, integrity and availability) triad.

Abstract: Disclosed is a method and device for processing data, and the method includes generating a target augmentation task sequence by processing the target data with a trained first model that performs inference on the target data to generate the target data augmentation task sequence, generate augmented target data by performing data augmentation on the target data according to the target augmentation task sequence, and obtaining a prediction result corresponding to the target data by inputting the augmented target data to a trained second model and performing a corresponding processing on the augmented target data by the trained second model.

Abstract: The disclosure provides a kit for detecting microsatellite instability and a method therefor. The kit includes a negative control, a plurality of qPCR reaction solutions, a qPCR premix and a sterile enzyme-free water; the plurality of qPCR reaction solutions includes 6 pairs of upstream primers and downstream primers of which the MSI mutation site is amplified, and a reference probe for the internal reference and a detection probe for the mutation site. The difference between the amplification of the gene and the gene at the mutation site of the samples and the negative control is used to detect the microsatellite instability. The method and kit as provided is easy and simple without the need of normal tissues being a control, and the need to open the cap. By doing so, aerosol pollution is avoided and sample supplies are conserved.

Abstract: A radio frequency (RF) connector includes an insulating portion configured in a cylindrical shape; an outer conducting portion configured in a cylindrical shape and disposed to surround an outer circumferential surface of the insulating portion; and an inner conducting portion disposed inside the insulating portion in a hollow shape and having both ends protruding from the insulating portion, the insulating portion electrically separating the outer conducting portion from the inner conducting portion.

Abstract: An electric power system emulator apparatus includes a plurality of nodes arrayed in first and second dimensions and a plurality of transmission path emulator circuits, respective ones of which are configured to be connected between adjacent ones of the nodes in the first and second dimensions. The apparatus further includes a control circuit configured to control the transmission path emulator circuits to emulate transmission paths of an electric power system. The control circuit may be configured to control the transmission path emulator circuits to emulate transmission lines and/or transformers. The transmission path emulator circuits may include respective power electronics converter circuits. The apparatus may further include source/load emulator circuits configured to be coupled to the nodes.

Abstract: Disclosed are a method and a system for forecasting an agricultural product price based on signal decomposition and deep learning. The method includes: S1, obtaining price subsequences by performing a complementary ensemble empirical mode decomposition (CEEMD) on an original price sequence of agricultural products; S2, obtaining a reconstructed sequence based on the price subsequences; S3, obtaining data features of the reconstructed sequence based on the reconstructed sequence; and S4, constructing a Bi-directional Sequence to Sequence (BiSeq2seq) model, and inputting the data features of the reconstructed sequence into a CCS-Bi-directional Sequence to Sequence (CCS-BiSeq2seq) model to obtain a forecasting result.

Abstract: Disclosed is a target tracking method and apparatus. The target tracking apparatus includes a processor configured to obtain a first depth feature from a target region image and obtain a second depth feature from a search region image, obtain a global response diagram between the first depth feature and the second depth feature, acquire temporary bounding box information based on the global response diagram, updated the second depth feature based on the temporary bounding box information, obtain local feature blocks based on the first depth feature, obtain a local response diagram based on the local feature blocks and the updated second depth feature, and determine output bounding box information based on the local response diagram.

Abstract: In one aspect, a computerized method for detecting data abuse and data exfiltration in a data store or a data lakes cloud warehouse, comprising: identifying a plurality of Command and control (CnC) channels in an enterprise data cloud infrastructure; identifying and detecting malicious compressed data transfers and encrypted data transfers; implementing a destination analysis from within the data store; and implementing data abuse detection and prevention operations.

Abstract: The technology relates to keeping sensors of a perception system optically clear and free from condensation. A transparent film, such as Indium Tin Oxide (ITO), acts as a moisture sensor that covers the optical area of interest. When a measured value of the moisture sensor meets a certain threshold that indicates the presence of condensate, power is applied to the sensor, turning it into a heater. When the measured value no longer meets the threshold, power is removed and heating ceases. The ITO layer may be lithographically applied to a glass sensor cover or other window, with interleaved sections of material that are spaced closely to detect a minimum amount of condensate. This arrangement enables the system to be employed in sensor assemblies at various locations along a self-driving vehicle, and can be used with different types of sensors such as lidar sensors, cameras and other imaging devices.

Abstract: In one aspect, a computerized system for securing data cloning and sharing options on data warehouses, comprising: a clone determiner engine that determines that a data asset is a primary data asset or a clone data asset, wherein the clone determiner engine comprises: a log data analyzer that obtains and analyzes a set of logs of the data asset from a specified log source, and wherein set of logs are used to determine that the data asset is the primary data asset or the clone data asset, a timestamp analyzer engine that obtains a timestamp data of the data asset and reviews the timestamp data to analyze ordering of the data asset, and wherein the timestamp analyzer engine determines the data asset is a primary asset or a secondary asset, and a fingerprints analyzer that obtains and reviews the data asset and any metadata of data asset, and wherein the fingerprints analyzer creates a fingerprint based on a content of the data asset and the metadata of the data asset, and wherein the fingerprints analyzer then

Abstract: A photographing method, including: obtaining a preview stream; detecting a movement speed of a photographed subject according to the preview stream; obtaining a first exposure time by shortening, according to the movement speed, an initial exposure time for preview frames in the preview stream, in response to determining that the movement speed is higher than a preset speed threshold; and capturing a picture based on the first exposure time.

Abstract: An ALD preparation method for eliminating camera module dot defects includes: placing a base substrate in a reaction chamber, and heating to 100-400° C.; introducing a first reaction precursor into the reaction chamber to chemically adsorb the first reaction precursor on the base substrate to form a first film layer; removing the excess first reaction precursor, and purging with inert gas; introducing a second reaction precursor into the reaction chamber to create a reaction between the second reaction precursor and the first reaction precursor to form a first refractive index layer; removing the excess second reaction precursor and a by-product of the reaction, and purging with inert gas; introducing a third reaction precursor into the reaction chamber to chemically adsorb the third reaction precursor on a surface of the first refractive index layer to form a second film layer; and removing the excess third reaction precursor, and purging with inert gas.

Abstract: In one aspect, a computerized method for minimizing a data governance in order to improve data security, comprising: providing and imposing a set of access rules to a set of data, wherein the set of data is stored in a data warehouse; measuring a level of over provisioning of the set of data; measuring a level of data abuse susceptibility of the set of data; implementing a dark data governance operation on the set of data; and identifying a set of infrequently used roles in the set of data.

Abstract: Disclosed is a video stabilization method including steps of selecting a first area in a first image; determining at least one first feature point based on the first area, and performing feature point matching on the first image and a second image so as to obtain at least one feature point matching pair between the first image and the second image, each feature point matching pair including a first feature point of the first image and a second feature point of the second image; conducting motion parameter estimation based on the at least one feature point matching pair so as to obtain a motion parameter; and carrying out motion compensation with respect to the first image based on the motion parameter so as to acquire a first stable image after compensation.