Abstract: Embodiments of the present disclosure relate to weight matrix prediction. In an embodiment, a computer-implemented method is disclosed. The method comprises sending a candidate weight matrix of a neural network to one of a plurality of computing nodes comprised in a computing system to perform a testing iteration. The method further comprises receiving a testing loss value from the one of the plurality of computing nodes based on the testing iteration. The method further comprises evaluating whether the testing loss value is applicable. The method further comprises determining that the candidate weight matrix is available to be employed in a new formal iteration in response to the testing loss value being applicable. In other embodiments, a system and a computer program product are disclosed.

Abstract: A method, system, and computer program product are provided for key performance indicator (KPI) extraction. A baseline value and times series data are received. The time series data includes logs, performance data, and operational data from one or more servers. The time series data is embedded to a vector. A multi-tier list of key KPI values is created. The key KPI value having a least cumulative absolute error is identified.

Abstract: A system and method are provided to determine equivalent isotropic radiated power (EIRP), effective isotropic sensitivity (EIS) and/or signal quality of a DUT in a test chamber, where the DUT has an AUT that has beam-forming capability and is offset from a center of a quiet zone of the test chamber. The method includes establishing a connection with the DUT using a far-field probe antenna in a far-field of the test chamber relative to the AUT so that the AUT forms a beam in a beam peak direction towards the far-field probe antenna; locking the beam of the AUT in the beam peak direction to prevent subsequent beam forming; and performing a near-field measurement of the EIRP, the EIS and/or the signal quality of the AUT with the beam locked in the beam peak direction using a near-field probe antenna in a near-field of the test chamber.

Abstract: A multi-layer language translator operating in conjunction with a syntax-based model, coupled with machine learning and artificial intelligence, performs language translations from a source language text to text expressed in a target language. A relevancy-based “chunking” module breaks a source text into smaller units and applies a part-of-speech tag to some or all of the units. A hierarchy-based structuring module determines grammatical structure of the source text based, at least in part, on the applied part-of-speech tags. The hierarchy-based structuring module recursively combines grammatically linked units into one or more phrases, and applies to the phrases higher-level tags. A syntax-based translating module translates the units and/or phrases into the target language, and based on syntax differences between the source and target languages, reconfigures the translated text, as needed, such that the translated text is expressed in the target language using target language syntax rules and conventions.

Abstract: Embodiments of the present application disclose a data writing and apparatus, a data reading method and apparatus, and a distributed object storage cluster. The data writing method includes: receiving to-be-written data sent by a client in a distributed object storage cluster (S101), and dividing the to-be-written data into a plurality of pieces of sub-data and determining a sequence number of each piece of sub-data (S102); and writing each piece of sub-data into a corresponding network hard disk (S103); for each piece of sub-data, sends a correspondence between the sequence number of the piece of sub-data and identification information of a network hard disk into which the piece of sub-data is written to the metadata server in the distributed object storage cluster (S104). Each of pieces of sub-data into which the to-be-written data is divided is written into a corresponding network hard disk.

Abstract: Aspects of the invention include a computer-implemented method that includes converting runtime data points that are indicative of an influence of the runtime data points on a robustness and performance of a computing system. The runtime data points are clustered, wherein each cluster respectively represents a temporal state of the computing system. Each cluster is translated into a three-dimensional representation based on a probability density of the runtime data points of each cluster. A time-based vector is generated, where the vector describes a transition from a first three-dimensional representation to a second three-dimensional representation. Each three-dimensional representation traversed by the time-based vector represents a respective state of the computing system. The time-based vector is compared with a baseline vector. An anomaly alert is issued based at least in part on the comparison.

Abstract: An image acquisition device includes a main body and a camera. A rotating portion is provided on the main body. The camera is arranged on the rotating portion. A knob portion is provided on the rotating portion at a lateral side of the camera in the axial direction. The knob portion can drive the rotating portion to rotate.

Abstract: A mobile terminal includes a main body and a flexible screen disposed on the main body. The main body includes an upper main body and a lower main body separately disposed. The mobile terminal includes a rotation shaft structure and a first support structure for supporting the flexible screen. The rotation shaft structure is located in the upper main body and the first support structure winds around the rotation shaft structure. One portion of the flexible screen is embedded in the lower main body and located on a surface facing a user. A back surface of the other portion is attached to a surface of the first support structure remote from the rotation shaft structure. When the upper main body is separated from or attached to the lower main body, deployment and retraction of the first support structure may be realized by rotating the rotation shaft structure.

Abstract: Aspects of the present disclosure involve, a customizable system and infrastructure which can receive privacy data from varying data sources for privacy scanning, containment, and reporting. In one embodiment, data received is scanned for privacy data extraction using various data connectors and decryption techniques. In another embodiment, the data extracted is transferred to a privacy scanning container where the data is analyzed by various deep learning models for the correct classification of the data. In some instances, the data extracted may be unstructured data deriving form emails, case memos, surveys, social media posts, and the like. Once the data is classified, the data may be stored or contained according to the classification of the data. Still in another embodiment, the classified data may be retrieved by an analytics container for use in reporting.

Abstract: Techniques for multistage process model training are described herein. Another aspect includes determining a first gray level histogram corresponding to a first input image. Another aspect includes determining a second gray level histogram corresponding to a second input image. Another aspect includes determining a set of change values, each change value corresponding to a change in a respective gray level from the first gray level histogram to the second gray level histogram. Another aspect includes comparing each change value of the set of change values to a threshold. Another aspect includes, based on determining that a first change value of the set of change values is higher than the threshold, adding a first gray level corresponding to the first change value to a hot zone of the second input image. Another aspect includes training a model using the hot zone of the second input image.

Abstract: An image acquisition device includes a main body and a camera. A rotating portion is provided on the main body. The camera is arranged on the rotating portion. A knob portion is provided on the rotating portion at a lateral side of the camera in the axial direction. The knob portion can drive the rotating portion to rotate.

Abstract: Aspects of the present disclosure involve, a customizable system and infrastructure which can receive privacy data from varying data sources for privacy scanning, containment, and reporting. In one embodiment, data received is scanned for privacy data extraction using various data connectors and decryption techniques. In another embodiment, the data extracted is transferred to a privacy scanning container where the data is analyzed by various deep learning models for the correct classification of the data. In some instances, the data extracted may be unstructured data deriving form emails, case memos, surveys, social media posts, and the like. Once the data is classified, the data may be stored or contained according to the classification of the data. Still in another embodiment, the classified data may be retrieved by an analytics container for use in reporting.

Abstract: A method, computer system and computer program product for processing configuration after a cluster migration are provided. In this method, a network booting program is received at a computing node from a management node for a cluster. The cluster includes at least one computing node. An operating system is booted in a memory of the computing node with the received network booting program. Configuration changes are received from the management node, and the configurations in a local storage of the computing node are updated according to the received configuration changes.

Abstract: Disclosed are a computer-implemented method, a system, and a computer program product for system-level tunable parameter identification. Performance characteristic data for an application to be tuned can be obtained by one or more processing units. At least one system-level tunable parameter for the application to be tuned can be identified by one or more processing units based on the obtained performance characteristic data for the application to be tuned and a pattern between training performance characteristic data and a set of training system-level parameter-related correlation coefficients. The set of training system-level parameter-related correlation coefficients can be respective correlation coefficients of system-level tunable parameters with respect to at least one performance metric.

Abstract: A microporous atomizing plate, including a vibration slice having a water immersion surface and a backwater surface; the vibration slice with a microporous area, and the microporous area is distributed with a plurality of atomizing holes: the backwater surface of the vibration slice has a surface roughness less than 150 nano. In this microporous atomizing plate, the surface roughness of the vibration slice is optimized, making the distribution of the atomizing holes in the vibration slicet more uniform, such that the particle size distribution of the sprayed droplets after atomization is narrower and more uniform, and the atomization effect of quantitative positioning dosing is realized.

Abstract: An atomization apparatus includes: an atomization sheet for atomizing a drug and having a rated voltage; and a voltage control element, electrically connected to the atomization sheet, for providing a operating voltage for the atomization sheet, wherein the operating voltage is not less than 70 V, and the operating voltage is 60% to 150% of the rated voltage of the atomization sheet, or the ratio of the operating voltage to the rated voltage of the atomization sheet is greater than 100% and not greater than 150%. A quick atomization method includes: providing an operating voltage to an atomization sheet, wherein the operating voltage is not less than 70 V, and the operating voltage is 60% to 150% of a rated voltage of the atomization sheet, or the ratio of the operating voltage to the rated voltage of the atomization sheet is greater than 100% and not greater than 150%.

Abstract: An image processing method and apparatus, and a storage medium are provided. The method includes: obtaining a first image and a second image of a to-be-authenticated object, where the first image is captured by a first camera module, and the second image is captured by at least one second camera module; comparing the first image with image data in a target library for identity authentication, to obtain a first authentication result; and in response to that the first authentication result is authentication failure, performing joint authentication on the first image and the second image, and determining the identity of the to-be-authenticated object according to a second authentication result of the joint authentication.

Abstract: Embodiments of the present application provide a method for reading and writing video data in a NAS device. The NAS device is mounted to a block interface of a storage server and includes a plurality of data files, and the correspondence between disk block numbers of block devices and filenames of the data files in the NAS device is stored in the index server. In the present application, a reading or writing request sent by the client device is received, a filename of a data file which data is to be read from or written into is located, and then a reading or writing operation is performed in the data file corresponding to the determined filename in the NAS device. In the present application, a reading or writing operation on a block device is transformed into a reading or writing operation on a data file in a NAS device so that a video cloud storage system can support the NAS device.

Abstract: A mobile terminal includes a main body and a flexible screen disposed on the main body. The main body includes an upper main body and a lower main body separately disposed. The mobile terminal includes a rotation shaft structure and a first support structure for supporting the flexible screen. The rotation shaft structure is located in the upper main body and the first support structure winds around the rotation shaft structure. One portion of the flexible screen is embedded in the lower main body and located on a surface facing a user. A back surface of the other portion is attached to a surface of the first support structure remote from the rotation shaft structure. When the upper main body is separated from or attached to the lower main body, deployment and retraction of the first support structure may be realized by rotating the rotation shaft structure.

Abstract: A file storage method and device are provided. The method includes: receiving a storage request for a to-be-stored file (S101); determining a target key for storing the to-be-stored file (S102); obtaining to-be-stored metadata of the to-be-stored file according to the determined target key (S103), wherein the to-be-stored metadata includes: fixed sub-metadata and variable sub-metadata; and storing the to-be-stored metadata in a metadata database, storing the fixed sub-metadata in a name of the determined target key, storing the variable sub-metadata in a preset storage area corresponding to the determined target key, and storing the to-be-stored file in a value of the determined target key (S104). By applying the file storage and device, the recovery of metadata is effectively ensured, while a storage space of a storage terminal is saved.