Abstract: Provided are a blockchain-based payment control method, a payment control apparatus, a device and a medium. The method includes: verifying a payment request for a securities account initiated by a requester, where the payment request includes a payment amount and a payee; in response to the payment request passing the verification, performing fund deduction on the securities account based on the payment amount, deducting a quota corresponding to the payment amount from a payment quota corresponding to the requester, and instructing an auxiliary payment platform to transfer the payment amount to the payee; transferring funds corresponding to the payment quota to the auxiliary payment platform to generate a transaction result; and verifying the transaction result through a smart contract and uploading data generated during the payment to a blockchain in response to the transaction result passing the verification.

Abstract: The present disclosure provides a virtual machine management method and apparatus. The method includes: acquiring virtual machine information of each virtual machine in a virtualization platform, receiving a first onboarding operation instruction for a target virtual machine in the virtualization platform, configuring a network and a virtual network console VNC of the target virtual machine, and when the configuration succeeds, storing in an already-onboarded virtual machine list in a database table virtual machine information of the target virtual machine. With the application of examples of the present disclosure, a unified management and control of virtual machines in the virtualization platform by a cloud management platform can be realized.

Abstract: The present invention provides a MIMO transmission method for discrete modulated signals. The method is mainly characterized in maximizing the mutual information of symbol vectors of a transmitter and a receiver by joint optimization of a source distribution and a precoding matrix. When the current precoding matrix G is determined, the distribution of source multi-dimensional vectors x is maximized by a Lagrange multiplier method to maximize a source entropy; and when the distribution of the current source multi-dimensional vectors x is determined, the precoding matrix G is optimized by a gradient descent method to maximize the mutual information of the transmitted and received vectors. The transmission rate approximates the Shannon limit under a MIMO scenario by joint optimization of the source distribution and the precoding matrix. After the transmitter determines a marginal distribution of symbols of each channel, a non-uniform modulation is performed by using a probabilistic amplitude shaping technology.

Abstract: The present invention provides a MIMO transmission method for discrete modulated signals. The method is mainly characterized in maximizing the mutual information of symbol vectors of a transmitter and a receiver by joint optimization of a source distribution and a precoding matrix. When the current precoding matrix G is determined, the distribution of source multi-dimensional vectors x is maximized by a Lagrange multiplier method to maximize a source entropy; and when the distribution of the current source multi-dimensional vectors x is determined, the precoding matrix G is optimized by a gradient descent method to maximize the mutual information of the transmitted and received vectors. The transmission rate approximates the Shannon limit under a MIMO scenario by joint optimization of the source distribution and the precoding matrix.

Abstract: The invention discloses a method for three-dimensional human pose estimation, which can realize the real-time and high-precision 3D human pose estimation without high configuration hardware support and precise human body model. In this method for three-dimensional human pose estimation, including the following steps: (1) establishing a three-dimensional human body model matching the object, which is a cloud point human body model of visible spherical distribution constraint. (2) Matching and optimizing between human body model for human body pose tracking and depth point cloud. (3) Recovering for pose tracking error based on dynamic database retrieval.

Abstract: The invention discloses a method for three-dimensional human pose estimation, which can realize the real-time and high-precision 3D human pose estimation without high configuration hardware support and precise human body model. In this method for three-dimensional human pose estimation, including the following steps: (1) establishing a three-dimensional human body model matching the object, which is a cloud point human body model of visible spherical distribution constraint. (2) Matching and optimizing between human body model for human body pose tracking and depth point cloud. (3) Recovering for pose tracking error based on dynamic database retrieval.

Abstract: The present disclosure provides a virtual machine management method and apparatus. The method includes: acquiring virtual machine information of each virtual machine in a virtualization platform, receiving a first onboarding operation instruction for a target virtual machine in the virtualization platform, configuring a network and a virtual network console VNC of the target virtual machine, and when the configuration succeeds, storing in an already-onboarded virtual machine list in a database table virtual machine information of the target virtual machine. With the application of examples of the present disclosure, a unified management and control of virtual machines in the virtualization platform by a cloud management platform can be realized.