Abstract: The present disclosure relates to a method that includes acquiring a use status of a storage space of the virtual storage system. The method further includes determining whether to upgrade the virtual storage system based on the use status. The method further includes determining a targeted instant based on the workload of the virtual storage system in response to the determination to upgrade the virtual storage system. The method further includes upgrading the virtual storage system at the targeted instant. In this way, it can be accurately determined whether to upgrade the virtual storage system based on the storage status of the virtual storage system, and when upgrade is needed, the optimum upgrade time is selected for upgrade of the system based on the workload of the virtual storage system, thereby effectively ensuring normal use of the virtual storage system.

Abstract: Upgrade of a virtual system is described. An example method includes recording access data of the virtual system that uses a cloud service, and in response to receiving an attribute set of a group of candidate cloud services, determining a predicted mode of the workload of the virtual system based on the access data. An upgrade preference is determined for the virtual system based on the access data and/or user settings of the virtual system. A cloud service for upgrading the virtual system is selected from the group of candidate cloud services based on the predicted mode and the upgrade preference, and a recommendation report is generated indicating the cloud service. Personalized cloud service recommendations can be created according to access habits of a user for the virtual system and other, user desired performance aspects so that upgrading the virtual system with the recommended cloud service improves user experience.

Abstract: The present disclosure relates to a method, a device, and a computer program product for upgrading a virtual storage system. The method for upgrading the virtual storage system is applied to a serverless platform, and includes receiving an upgrading instruction for the virtual storage system. The method further includes determining an upgrading type corresponding to the upgrading instruction and a preset execution file matched with the upgrading type, the preset execution file being pre-deployed in the serverless platform. The method further includes upgrading the virtual storage system by running the preset execution file in the serverless platform. In this way, a preset execution function is run in the serverless platform to upgrade the virtual storage system, which can save resource costs and operational costs for users. In addition, because the task processing efficiency of the serverless platform is high, the upgrading efficiency of the virtual storage system can further be improved.

Abstract: Embodiments relate to a method, a device, and a computer program product for upgrading a virtual system. The method includes: monitoring usage of system resources by the virtual system to acquire resource usage data indicating a system resource usage state of the virtual system, the virtual system using cloud services that provide the system resources. The method further includes: in response to acquiring attribute sets of a set of candidate cloud services, determining, based on the resource usage data, whether the virtual system needs to be upgraded; in response to determining that the virtual system needs to be upgraded, determining, based on the attribute sets, that the virtual system can be upgraded; and recommending, in response to determining that the virtual system can be upgraded, a candidate cloud service from the set of candidate cloud services based on the resource usage data and the attribute sets.

Abstract: The present disclosure provides an image denoising method, a device, an electronic equipment, and computer-readable storage medium, wherein the method comprises performing a variance-stabilizing transform on the to-be-denoised image based on preset noise model parameters to obtain a first intermediate image; denoising the first intermediate image based on a preset signal-to-noise fluctuation curve and a preset denoising algorithm to obtain a second intermediate image, wherein the signal-to-noise fluctuation curve is used to characterize differential information in the noise variance corresponding to the to-be-denoised image at different exposure gains; and performing a variance-stabilizing inverse transform on the second intermediate image based on the noise model parameters to obtain a denoised image.

Abstract: Embodiments of the present disclosure relate to a method, a device, and a computer program product for upgrading a virtual system. The method includes: monitoring usage of system resources by the virtual system to acquire resource usage data indicating a system resource usage state of the virtual system, the virtual system using cloud services that provide the system resources. The method further includes: in response to acquiring attribute sets of a set of candidate cloud services, determining, based on the resource usage data, whether the virtual system needs to be upgraded; in response to determining that the virtual system needs to be upgraded, determining, based on the attribute sets, that the virtual system can be upgraded; and recommending, in response to determining that the virtual system can be upgraded, a candidate cloud service from the set of candidate cloud services based on the resource usage data and the attribute sets.

Abstract: A method for predicting an air quality index (AQI) based on a fusion model proposes a differential fusion seasonal prediction model (DF-SPM) based on a random forest (RF) model and a convolutional neural network (CNN)-long short-term memory (LSTM)-attention (CLA) model. This method uses the optimal threshold interval (OTI) search algorithm to search and learn the OTI of four seasons during the prediction process, and obtains the final prediction results according to the predicted values of RF model and CLA model. The fusion model combines the prediction advantages of two independent models, and fully considers the seasonal and periodic characteristics of AQI, so as to accurately search OTI in different time periods with the seasonal scale, so as to achieve higher prediction accuracy. The OTI strategy of fusion model is superior to the single threshold strategy, which can extract the historical fluctuation characteristics of AQI and achieve higher prediction accuracy.

Abstract: A method to determine the types of optical fibers forming a link of an optical communication network. By scanning a signal's bit error rate at a receiver end, as a function of a pre-dispersion applied to a signal at a transmitter end, local minimums in the curve indicate the presence of amplifiers, and therefore fiber span extremities. By determining the accumulated dispersion at each fiber extremity, a ratio of dispersion per span length can be obtained and the span's coefficient of chromatic dispersion be inferred, thereby identifying the type of fiber. Alternatively, a signal's signal-to-noise ratio can be scanned, instead of its bit error rate. In a typical network, the required instrumentation is pre-existing.

Abstract: A method to determine the types of optical fibers forming a link of an optical communication network. By scanning a signal's bit error rate at a receiver end, as a function of a pre-dispersion applied to a signal at a transmitter end, local minimums in the curve indicate the presence of amplifiers, and therefore fiber span extremities. By determining the accumulated dispersion at each fiber extremity, a ratio of dispersion per span length can be obtained and the span's coefficient of chromatic dispersion be inferred, thereby identifying the type of fiber. Alternatively, a signal's signal-to-noise ratio can be scanned, instead of its bit error rate. In a typical network, the required instrumentation is pre-existing.

Abstract: This disclosure provides a chip structure, including a first chip and a first protective layer, where the first protective layer covers a first surface of the first chip; and a first conductive connector is vertically disposed in the first protective layer, the first conductive connector penetrates through an upper surface and a lower surface of the first protective layer, one end of the first conductive connector is electrically connected to the first surface of the first chip, the other end of the first conductive connector is exposed to the first protective layer, and the first protective layer is formed by a material whose modulus is greater than a preset value.

Abstract: A chip package on package structure includes a primary chip stack unit having pins insulated and spaced from each other on a first surface; a first bonding layer disposed on the first surface, where the first bonding layer includes bonding components insulated and spaced from each other, each bonding component includes a bonding part, and any two bonding parts are insulated and have a same cross-sectional area, and the bonding components are separately bonded to the pins; and secondary chip stack units, disposed on a surface of a side that is of the first bonding layer and that is away from the primary chip stack unit, where the secondary chip stack unit has micro bumps insulated and spaced from each other, and each of the micro bumps is bonded to one of the bonding components.

Abstract: Systems and methods are described that enable a user to: select a control with a handwritten stroke at least part of which resides outside of a selectable area of the control; use a moving-input control without having to make a selection other than handwriting on, over, or near the control; and/or delete text displayed on an electronic form by handwriting over that text.

Abstract: Systems and methods are described that enable a user to: select a control with a handwritten stroke at least part of which resides outside of a selectable area of the control; use a moving-input control without having to make a selection other than handwriting on, over, or near the control; and/or delete text displayed on an electronic form by handwriting over that text.

Abstract: Systems and methods are described that enable a user to: select a control with a handwritten stroke at least part of which resides outside of a selectable area of the control; use a moving-input control without having to make a selection other than handwriting on, over, or near the control; and/or delete text displayed on an electronic form by handwriting over that text.

Abstract: Systems and methods are described that enable handwriting into a data-entry field on a screen without independently selecting that data-entry field. These systems and methods can also provide a handwriting guide geographically associated with a data-entry field into which a user is intending to write that permits substantially all of a computing device's screen to be viewed.

Abstract: Systems and methods are described that enable a user to: select a control with a handwritten stroke at least part of which resides outside of a selectable area of the control; use a moving-input control without having to make a selection other than handwriting on, over, or near the control; and/or delete text displayed on an electronic form by handwriting over that text.

Abstract: Systems and methods are described that enable handwriting into a data-entry field on a screen without independently selecting that data-entry field. These systems and methods can also provide a handwriting guide geographically associated with a data-entry field into which a user is intending to write that permits substantially all of a computing device's screen to be viewed.