Abstract: Embodiments of the present invention provide an image super-resolution method, a device, a storage medium, and a program product. The method includes: acquiring an image to be processed, wherein display content of the image to be processed comprises a text; according to a first super-resolution model, processing the image to be processed to obtain a first super-resolution image corresponding to the image to be processed; according to a second super-resolution model, processing the image to be processed to obtain a second super-resolution image corresponding to a text area of the text within the image to be processed, wherein a super-resolution effect of the second super-resolution model on the text area is superior to that of the first super-resolution model on the text area; and fusing the first super-resolution image and the second super-resolution image to obtain a target super-resolution image corresponding to the image to be processed.

Abstract: Provided in the embodiments of the present disclosure are a video variable-speed playback method and apparatus, and an electronic device and a storage medium. The method includes: obtaining a target video, which at least includes a first video segment; recognizing the first video segment to obtain at least one target object; obtaining an action feature of the target object, and obtaining a target playback speed of the target video according to the action feature; and playing the target video on the basis of the target playback speed.

Abstract: In certain embodiments, a time series-based anomaly detection method is provided, which is able to identify anomalous user accounts highly effectively. An activity predictor is used to model normal behaviors of individual accounts and to assess an extent to which a current behavior associated with differs from its past normal behavior. Part of an activity sequence is inputted to the activity predictor, and a resulting activity prediction (the activity predictor's prediction of normal behavior) is compared with the remaining part of the sequence. In preferred embodiments, a multi-stage approach is used, with a more lightweight form of anomaly detection applied in a first stage, and the time-series based detection performed in a second stage only on a subset of activity sequences escalated from the first stage.

Abstract: A sensor for gas species in water includes two membranes separating first, second and third chambers. The first and second chambers are separated by an ion exchange membrane, and the second and third chambers are separated by a gas permeable membrane. Water electrolysis in the first and second chambers provides analyte-ions corresponding to an analyte being detected that pass through the ion exchange membrane from the first chamber to the second chamber. Within the second chamber, these analyte-ions generate analyte via the electrolysis. Analyte in the second chamber passes through the gas permeable membrane to arrive at the third chamber. Within the third chamber, the analyte-ion is generated chemically from the analyte. Electrical detection of the analyte-ion in the third chamber provides sensing of the analyte present in the first chamber.

Abstract: Battery depletion can be avoided and the supply of grid power is stabilized while enhancing a renewable energy utilization rate. A charge/discharge planning apparatus creates a renewable energy power generation amount fluctuation scenario with a changed power generation amount of renewable energy, and a grid power fluctuation scenario with a changed demand for grid power on the basis of at least one of weather forecast information and grid power demand prediction information; executes a simulation regarding each of the plurality of proposed charge/discharge plans under at least one of the renewable energy power generation amount fluctuation scenario and the grid power fluctuation scenario and calculates a charge/discharge plan evaluation value based on an execution result of the simulation; and adopts any one of the plurality of proposed charge/discharge plans on the basis of the calculated charge/discharge plan evaluation value so that a preset constraint condition will be satisfied.

Abstract: To suppress concentration of charging for a plurality of electric vehicles (EV) and achieve leveling. An electric vehicle charging management device 10 that manages charging for a plurality of EVs 40, the electric vehicle charging management device including: a charging time zone information creation unit 121 that creates charging time zone information 1007 indicating a charging schedule for each of the plurality of EVs 40 by using delivery course information 1001 and vehicle information 1003; a power consumption amount calculation unit 122 that calculates time zone-based power consumption amount information 1008 indicating a power consumption amount including an execution charging amount in each of the plurality of time zones; and a charging time zone information change unit 123 that changes the charging time zone information 1007 by changing charging for a changing target electric EV in a maximum time zone that is a time zone having the largest power consumption amount among the plurality of time zones.

Abstract: An image alignment method and device, relating to the technical field of image processing. The method comprises: obtaining a target feature comprising feature points corresponding to pixel points in a target image and a reference feature comprising feature points corresponding to pixel points in a reference image; obtaining a similarity feature according to the target feature and the reference feature, the similarity feature comprising the similarity between the feature points in the target feature and a corresponding related feature point; predicting a convolutional layer according to the similarity feature, the target feature, and an offset, and obtaining an offset of the target feature and the reference feature; and aligning the reference feature with the target feature according to the offset and the deformable convolutional layer.

Abstract: Embodiments of the present disclosure relate to a method and apparatus for generating an image, an electronic device, and a product. The method includes: determining super-resolution parameters for a first image based on image parameters, and output resolution that is specified by a user, where the image parameters are determined based on the first image. The method further includes: generating, by a generative super-resolution model, a second image based on the super-resolution parameters. The method further includes: generating a third image based on the output resolution and the second image, where resolution of the third image is greater than resolution of the first image.

Abstract: A scan circuit having a plurality of stages is provided. A respective scan unit of the scan circuit in the respective stage of the plurality of stages includes an input subcircuit, an output subcircuit, a first processing subcircuit, a second processing subcircuit, and a third processing subcircuit. The respective scan unit includes a first capacitor in the second processing subcircuit; a third capacitor in the third processing subcircuit; an eighth transistor in the first processing subcircuit; and a ninth transistor and a tenth transistor in the output subcircuit. Along the first direction, the eighth transistor is on a side of the ninth transistor and the tenth transistor away from the first capacitor, the third capacitor, and other transistors of the respective scan unit.

Abstract: A computing system including one or more processing devices that train an oversubscription reinforcement learner at least in part by receiving computing resource usage trajectories. At the oversubscription reinforcement learner, the training further includes generating prototypes based at least in part on the computing resource usage trajectories. The training further includes, based at least in part on the prototypes, generating an oversubscription rate. The training further includes outputting a prototype feedback query and/or an oversubscription rate feedback query. The training further includes receiving a prototype feedback input and/or an oversubscription rate feedback input.

Abstract: Anode material, and battery. Anode material includes graphite and carbon layer located on at least part of surface of graphite. Particle surface and particle section of anode material are respectively tested by Raman spectroscopy, peak area ratio of D characteristic peak within range of 1300 cm?1 to 1350 cm?1 to G characteristic peak within range of 1500 cm?1 to 1580 cm-1 is ID/Ig, ratio of ID/IG measured on the particle surface is A, and ratio of ID/IG measured on particle section is B, and 1.22<A?B?2.10. Anode material improves lithium-ion transport kinetics, initial Coulombic efficiency, and cycle performance.

Abstract: Anode material, and battery. Anode material includes graphite and carbon layer located on at least part of surface of graphite. Particle surface and particle section of anode material are respectively tested by Raman spectroscopy, peak area ratio of D characteristic peak within range of 1300 cm?1 to 1350 cm?1 to G characteristic peak within range of 1500 cm?1 to 1580 cm?1 is ID/IG, ratio of ID/IG measured on the particle surface is A, and ratio of ID/IG measured on particle section is B, and 1.22<A-B?2.10. Anode material improves lithium-ion transport kinetics, initial Coulombic efficiency, and cycle performance.

Abstract: Embodiments include an image super-resolution method and apparatus.

Abstract: Provided are an anode material and a preparation method thereof, and a lithium ion battery. The anode material includes a core and a compound layer located on at least partial surface of the core; and the core includes graphite, and the compound layer includes a carbonaceous material and a non-carbonaceous material.

Abstract: Anode material, preparation method thereof, and battery. Anode material includes graphite and carbon layer located on at least part of surface of graphite. Particle surface and particle section of anode material are respectively tested by Raman spectroscopy, peak area ratio of D characteristic peak within range of 1300 cm?1 to 1350 cm?1 to G characteristic peak within range of 1500 cm?1 to 1580 cm?1 is ID/IG, ratio of ID/IG measured on the particle surface is A, and ratio of ID/IG measured on particle section is B, and 1.22<A-B?2.10. Particle surface of anode material is tested by adopting atomic force microscopy, 1 ?m×1 ?m test region is randomly selected on particle surface of anode material, arithmetic average value of height deviation absolute values relative to reference surface in test region is S nm, where 15 nm?S?60 nm. Anode material improves lithium-ion transport kinetics, initial Coulombic efficiency, and cycle performance.

Abstract: A negative electrode material, a negative electrode plate and a secondary battery are provided. The negative electrode material includes an inner core and a coating layer arranged on at least a part of a surface of the inner core, the coating layer includes a polymer, an infrared spectrum of the negative electrode material has a first characteristic peak, a second characteristic peak and a third characteristic peak in a wave number range of 1320±10 cm?1 to 1880±10 cm?1, a peak area ratio of the first characteristic peak to the third characteristic peak is Z, and the Z is 0.35 to 0.8.

Abstract: Anode material, preparation method thereof, and battery. Anode material includes graphite and carbon layer located on at least part of surface of graphite. Particle surface and particle section of anode material are respectively tested by Raman spectroscopy, peak area ratio of D characteristic peak within range of 1300 cm?1 to 1350 cm?1 to G characteristic peak within range of 1500 cm?1 to 1580 cm?1 is ID/IG, ratio of ID/IG measured on the particle surface is A, and ratio of ID/IG measured on particle section is B, and 1.22<A?B?2.10. Particle surface of anode material is tested by adopting atomic force microscopy, 1 ?m×1 ?m test region is randomly selected on particle surface of anode material, arithmetic average value of height deviation absolute values relative to reference surface in test region is S nm, where 15 nm?S?60 nm. Anode material improves lithium-ion transport kinetics, initial Coulombic efficiency, and cycle performance.

Abstract: There is provided a relay transportation planning apparatus and method capable of devising a relay transportation plan(s) which enhances package transportation efficiency. A transportation plan is created by forming one or a plurality of transportation groups by gathering packages which have an at least partly overlapping transportation route and share a common time slot for transportation via the transportation route, based on package information, vehicle information, and driver information and allocating a transportation vehicle and a driver to each of the created transportation groups, wherein the transportation planning apparatus is designed to allocate a plurality of transportation vehicles which perform platooning or a transportation vehicle for towing a plurality of towed vehicles to the transportation group(s) when necessary.

Abstract: In certain embodiments, a time series-based anomaly detection method is provided, which is able to identify anomalous user accounts highly effectively. An activity predictor is used to model normal behaviors of individual accounts and to assess an extent to which a current behavior associated with differs from its past normal behavior. Part of an activity sequence is inputted to the activity predictor, and a resulting activity prediction (the activity predictor's prediction of normal behavior) is compared with the remaining part of the sequence. In preferred embodiments, a multi-stage approach is used, with a more lightweight form of anomaly detection applied in a first stage, and the time-series based detection performed in a second stage only on a subset of activity sequences escalated from the first stage.

Abstract: The present disclosure relates to systems, methods, and computer readable media for predicting surplus capacity on a set of server nodes and determining a quantity of deferrable virtual machines (VMs) that may be scheduled over an upcoming period of time. This determination of VM quantity may be determined while minimizing risks associated with allocation failures on the set of server nodes. This disclosure described systems that facilitate features and functionality related to improving utilization of surplus resource capacity on a plurality of server nodes by implementing VMs having some flexibility in timing of deployment while also avoiding significant risk caused as a result of over-allocated storage and computing resources. In one or more embodiments, the quantity of deferrable VMs is determined and scheduled in accordance with rules of a scheduling policy.