Abstract: Methods, apparatuses, devices and storage media for decoding and encoding are provided. In one aspect, a decoding method includes: obtaining a value of an Enhanced Temporal Motion Vector Prediction (ETMVP) mode flag and an ETMVP mode index value for a current coding unit (CU); when the value of the ETMVP mode flag is a first value, determining coordinate information of an initial matching CU of the current CU according to coordinate information of the current CU; constructing an enhanced temporal candidate list based on the coordinate information of the initial matching CU; determining coordinate information of a target matching CU according to the ETMVP mode index value; and determining motion information of a subblock at a corresponding position in the current CU according to the motion information of the target matching CU.

Abstract: A performance prediction method and system for a whole atomization process of an aeroengine fuel. The method includes: establishing a physical fuel-gas-droplet multiphase flow model; obtaining a central velocity field and a fluid volume fraction distribution of meshes with a finite volume method (FVM) based on the physical fuel-gas-droplet multiphase flow model; defining a gas and a liquid according to the central velocity field and the fluid volume fraction distribution; performing mesh refinement on the gas-liquid two-phase interface with an orthogonal adaptive Cartesian mesh method; transforming droplets less than a specified size in the atomization process into Lagrangian particle points; and performing calculation on different volume fractions for the Lagrangian particles included in the meshes to obtain flow field data and droplet data on different time nodes.

Abstract: This invention is an extension adaptive lane keeping control method with variable vehicle speed, which is composed of the following steps: S1, establishing a three-degree-of-freedom dynamic model and a preview deviation expression; S2, performing the lane line fitting equation; S3, designing the upper layer ISTE extension controller; including: S3.1, establishing the control index (ISTE) extension sets; S3.2, dividing the control index (ISTE) domain boundaries; S3.3, calculating the control index (ISTE) association function; S3.4, establishing the upper layer extension controller decision; S4, designing the lower layer speed extension controller; S5, designing the lower layer deviation tracking extension controller; including: S5.1, extracting the lower layer deviation tracking extension feature quantity and dividing domain boundaries; S5.2, designing the lower layer extension controller correlation function; S5.3, performing the lower layer measurement mode identification; S5.

Abstract: Provided are a fully homomorphic encryption method and device and a computer readable storage medium capable of enhancing efficiency of a homomorphic multiplication operation in a fully homomorphic encryption method. The method comprises: Step S1: generating a prime modulus qj=qj(?, L), according to an input security parameter ? and a number of encryption layers L, wherein qj mod n?1, n is an integer power of 2, j=0, 1, . . . , L?1, and q0<q1< . . . <qL-1; Step S2: generating a private key sk and a public key pk according to the prime modulus qj; Step S3: encrypting plaintext m according to the public key pk; and Step S4: performing a homomorphic operation on two ciphertexts associated with the same private key, the homomorphic operation includes a homomorphic addition operation FHE.Add(c?, c?) and a homomorphic multiplication operation FHE.Mul(c?, c?).

Abstract: The present invention belongs to the field of machine vision. A saliency-based method for extracting a road target from a night vision infrared image is disclosed. The method combines saliencies of the time domain and the frequency domain, global contrast and local contrast, and low level features and high level features, and energy radiation is also considered to be a saliency factor; thus, the object of processing is an infrared image and not the usual natural image. The extraction of a salient region is performed on the raw natural image on the basis of energy radiation, and the obtained extraction result if the salient region is more accurate and thorough, and the contour of a target in the salient region is clearer.

Abstract: The present invention belongs to the field of machine vision. A saliency-based method for extracting a road target from a night vision infrared image is disclosed. The method combines saliencies of the time domain and the frequency domain, global contrast and local contrast, and low level features and high level features, and energy radiation is also considered to be a saliency factor; thus, the object of processing is an infrared image and not the usual natural image. The extraction of a salient region is performed on the raw natural image on the basis of energy radiation, and the obtained extraction result if the salient region is more accurate and thorough, and the contour of a target in the salient region is clearer.

Abstract: A method for providing communication in a communication device is disclosed. The method may include receiving a control instruction for a call session via the communication device, and assessing a quality of service of at least one of a default Wi-Fi network and a radio network. The method may also include selectively recommending to a user of the communication device the radio network for the call session based on the quality of service, and initiating the call session using the default Wi-Fi network or the radio network based on a selection made by the user.

Abstract: A method for providing communication in a communication device is disclosed. The method may include receiving a control instruction for a call session via the communication device, and assessing a quality of service of at least one of a default Wi-Fi network and a radio network. The method may also include selectively recommending to a user of the communication device the radio network for the call session based on the quality of service, and initiating the call session using the default Wi-Fi network or the radio network based on a selection made by the user.

Abstract: A hybrid communication system estimates a quality of service (QoS) for a plurality of session channels available to couple a first device on a first network with a second device on a second network. A first session channel is selected, from the plurality of session channels, that has a highest estimated QoS of all the plurality of session channels over a first time interval. The devices are instructed to establish a hybrid media session using the first session channel. During the hybrid media session the estimated QoS for the plurality of session channels is monitored. Responsive to the monitoring, a second session channel is selected, from the plurality of session channels, that has a highest estimated QoS of all the plurality of session channels over a second time interval. Responsive to the selecting, the devices are instructed establish the hybrid media session using the second session channel.

Abstract: A hybrid communication system estimates a quality of service (QoS) for a plurality of session channels available to couple a first device on a first network with a second device on a second network. A first session channel is selected, from the plurality of session channels, that has a highest estimated QoS of all the plurality of session channels over a first time interval. The devices are instructed to establish a hybrid media session using the first session channel. During the hybrid media session the estimated QoS for the plurality of session channels is monitored. Responsive to the monitoring, a second session channel is selected, from the plurality of session channels, that has a highest estimated QoS of all the plurality of session channels over a second time interval. Responsive to the selecting, the devices are instructed establish the hybrid media session using the second session channel.

Abstract: A hybrid communication system estimates a quality of service (QoS) for a plurality of session channels available to couple a first device on a first network with a second device on a second network. A first session channel is selected, from the plurality of session channels, that has a highest estimated QoS of all the plurality of session channels over a first time interval. The devices are instructed to establish a hybrid media session using the first session channel. During the hybrid media session the estimated QoS for the plurality of session channels is monitored. Responsive to the monitoring, a second session channel is selected, from the plurality of session channels, that has a highest estimated QoS of all the plurality of session channels over a second time interval. Responsive to the selecting, the devices are instructed establish the hybrid media session using the second session channel.