Abstract: The present application provides a model training method, a channel adjustment method, an electronic device, and a computer readable storage medium, the model training method includes: collecting historical samples, with the historical samples including first scheduling information and first information corresponding to a historical data transmission, the first information representing a result of cyclic redundancy check, and the first scheduling information including first intermediate variable information in an adaptive modulation and coding process; and performing model training according to the historical samples to obtain a first prediction model, and during the model training, the first scheduling information is used as an input of the first prediction model, the first information is converted into second information corresponding to the historical data transmission to be used as an output of the first prediction model, and the second information represents a probability value of the result of the cycli

Abstract: A computer readable storage medium is provided. When contents of the computer readable storage medium are executed by a processor, multi-photon imaging may be performed on a histopathological section containing tumor environment information, and pathological partitioning of a tumor microenvironment may be further performed through image processing. A value of each collagen feature parameters, such as a morphological feature parameter, an energy feature parameter and a texture feature parameter, may be extracted from a tumor tissue region, an invasive margin (IM) region and a normal tissue (N) region. An inter-region difference and a variation may be calculated according to feature parameters of regions. A collagen feature scoring model may be established. A collagen feature score may be calculated with the collagen feature parameters input to the model.

Abstract: A computer readable storage medium is provided. When contents of the computer readable storage medium are executed by a processor, multi-photon imaging may be performed on a histopathological section containing tumor environment information, and pathological partitioning of a tumor microenvironment may be further performed through image processing. A value of each collagen feature parameters, such as a morphological feature parameter, an energy feature parameter and a texture feature parameter, may be extracted from a tumor tissue region, an invasive margin (IM) region and a normal tissue (N) region. An inter-region difference and a variation may be calculated according to feature parameters of regions. A collagen feature scoring model may be established. A collagen feature score may be calculated with the collagen feature parameters input to the model.

Abstract: A semiconductor device with resistive memory includes a bottom electrode disposed on a base structure, the bottom electrode having a structure that tapers up from the base structure to a tip of the bottom electrode. The semiconductor device also includes sidewall spacers on the sides of the bottom electrode, an interlayer dielectric deposition (ILD) outside the sidewall spacers, and a top dielectric layer disposed over the bottom electrode, and the sidewall spacers. The semiconductor device further includes a top electrode deposited over the bottom electrode within the sidewall spacers. A filament formation region is formed at the tip of the bottom electrode.

Abstract: The present invention discloses fiducial marker systems or tag systems and methods to detect and decode a tag. In one aspect, a tag comprises four corners. Two upper corners are interconnected to form a detection area. Two lower corners are interconnected to form another detection area. The detection areas are interconnected by a path. The path divides the space between the detection areas into two coding areas. In another aspect, a tag comprises four corners. The four corners are interconnected by multiple paths. The multiple paths divide the space defined by the four corners into multiple coding areas.

Abstract: The present disclosure provides a method and device for forwarding a priority tag across network segments. The method includes the following steps: performing networking by using a Virtual Local Area Network (VLAN) interface to form a network; enabling a VLAN Class Of Service (COS) and differentiated service code point in a priority tag of a message transmitted in the network to correspond to each other; in response to layer-3 forwarding of the message, using the differentiated service code point priority tag for the message, and copying a VLAN COS value of the message at an entry of a switch to a VLAN COS value of the message at an exit; and in response to subsequent layer-2 forwarding of the message, using the VLAN COS priority tag for the message to distinguish a priority of the message.

Abstract: The present invention discloses fiducial marker systems or tag systems and methods to detect and decode a tag. The tag comprises a plurality of cells arranged in a grid pattern. The plurality of cells forms a square or rectangular shape. Each cell is in square or rectangular shape and has either black, white, or gray grayscale. Any two cells that share a common borderline should have different grayscales; and the four corner cells of the tag are all in black.

Abstract: The present invention discloses fiducial marker systems or tag systems and methods to detect and decode a tag. The tag comprises a plurality of cells arranged in a grid pattern. The plurality of cells forms a square or rectangular shape. Each cell is in square or rectangular shape and has either black, white, or gray grayscale. Any two cells that share a common borderline should have different grayscales; and the four corner cells of the tag are all in black.

Abstract: The present invention discloses fiducial marker systems or tag systems and methods to detect and decode a tag. In one aspect, a tag comprises four corners. Two upper corners are interconnected to form a detection area. Two lower corners are interconnected to form another detection area. The detection areas are interconnected by a path. The path divides the space between the detection areas into two coding areas. In another aspect, a tag comprises four corners. The four corners are interconnected by multiple paths. The multiple paths divide the space defined by the four corners into multiple coding areas.

Abstract: A delayed direction change mechanism is used for implementing the follow-me function of a mobile robot. The mobile robot intentionally avoids following or reacting to a user's abrupt change of direction that exceeds a first threshold. Instead, the robot waits until the user's moving direction stabilizes and then determines its moving direction based on the user's then moving speed, direction, and/or position. A user's moving direction may be considered as stabilized if its change has always been less than or equal to a second threshold during a predetermined timeframe (e.g., 3 seconds).

Abstract: A double-threshold mechanism is used for implementing the follow-me function of a mobile robot. Initially, a user comes to a mobile robot and turns on its follow-me function. Then, the mobile robot is in the follow-me mode or can simply be described as following the user. When the user moves away from the robot, the robot determines whether the distance between itself and the user exceeds a first distance threshold. If so, the robot starts moving to follow the user. Otherwise, the robot stays put. While following the user's movement, the robot continues to monitor the distance between itself and the user. When the robot determines that the distance between them is less than a second distance threshold—because the user has slowed down or stopped, for example—the robot stops moving. The second distance threshold is lower than the first distance threshold.