Abstract: Provided is a method for sensing measurement. The method is applicable to a sensing initiator, and includes: transmitting a sensing request frame to at least one sensing responder using a first modulation and coding scheme (MCS) in a parallel coordinated monostatic measurement; and receiving a sensing response frame transmitted by the at least one sensing responder using the first MCS, wherein the first MCS is an MCS specified in a protocol.

Abstract: A sensing measurement method, applied to a sensing measurement device, includes: transmitting a frame carrying a first field; where the first field is a specific field of sequential coordinated monostatic or parallel coordinated monostatic, and/or the first field has a specific meaning in the sequential coordinated monostatic or the parallel coordinated monostatic.

Abstract: Provided is a device for sensing initiation. The device includes a processor; a transceiver connected to the processor; and a memory, configured to store one or more executable instructions of the processor; wherein the processor, when loading and executing the one or more executable instructions, causes the device for sensing initiation to: transmit and/or receive at least one frame carrying target information during a sensing measurement process, wherein the target information is related to at least one of a transmit power, a receive automatic gain control AGC gain, a transmit antenna radiation pattern, or a receive antenna radiation pattern.

Abstract: Provided is a method for sensing measurement. The method is applicable to a sensing participant, and includes: transmitting or receiving a frame carrying a first field in a sensing measurement process, wherein the first field indicates information related to coordinate system setting. The first field is a Coordinates field for indicating a type of a reference coordinate system.

Abstract: Provided is a method for coordinated sensing measurement. The method for coordinated sensing measurement is applicable to a sensing initiator and includes during a coordinated sensing measurement, triggering each group of or each of sensing responders that participate in the coordinated sensing measurement to execute all or a portion of stages in a sensing measurement process in a poll triggering mode.

Abstract: Provided is a method for transmitting capability information. The method includes: transmitting, by a first wireless device, capability information related to a sensing measurement to a second wireless device, wherein the capability information related to the sensing measurement comprises at least one of capability information of a first granularity or capability information of a second granularity, wherein the first granularity is greater than the second granularity.

Abstract: The present disclosure relates to a finite control set model predictive control method of an LLCL battery energy storage converter, wherein the method uses a finite control set model predictive control method to control an energy storage converter based on an LLCL filter, establishes and discretizes a state space mathematical model of the LLCL battery energy storage converter to obtain a discrete model, converts reference values of a current at a grid side into reference values of a current at a converter side and a capacitor voltage based on a phasor method at the same time, defines a cost function, compares an output result of a prediction model with the reference value, selects an optimal voltage vector and selects a most appropriate switching state to work.

Abstract: The communication method includes: assigning, by a first device, a beam/sector/channel that causes no interference to other devices to a second device, and scheduling the second device to transmit sensing information on the beam/sector/channel, wherein transmission of the sensing information causes no interference to the other devices.

Abstract: A method for determining the pose of a target object in an input image. The method includes: providing a set of reference images that contain the target object and are annotated with the respective pose of the target object; inputting the reference images to a segmentor that is configured to distinguish parts and/or features of an image belonging to different objects; determining a canonical object model that pools information from the reference images in one common coordinate system; determining a representation of the target object in the output space of the segmentor; inputting the input image to the segmentor, and determining which parts of a resulting output of the segmentor belong to the target object; combining the parts belonging to the target object into a local reconstruction of the target object; and evaluating the sought pose of the target object in the input image.

Abstract: A communication method includes: transmitting and/or receiving, by a communication device, a frame carrying sensing measurement reporting dependent information.

Abstract: A communication method includes: transmitting and/or receiving, by a communication device, a trigger frame carrying sensing measurement related information.

Abstract: A sensing method includes: sending, by an access point device, a first trigger frame to at least one sensing response device, where the first trigger frame includes sensing reporting setup information, and the sensing reporting setup information is used to determine a target sensing response device for sensing measurement reporting in the at least one sensing response device.

Abstract: A communication method includes: a first device sends and/or receives first information, the first information including sensing related information.

Abstract: A wireless communication method and a device, which can establish a measurement configuration. The method comprises: a first device receiving at least one measurement configuration identifier, which is sent by a second device, wherein each measurement configuration identifier corresponds to a group of operation parameters for perception measurement.

Abstract: This application discloses a packet transmission method, apparatus, and system, a network device, and a storage medium, and relates to the field of communication technologies. The method includes: A first network device receives an IP packet, and adds indication information to the IP packet and sends the IP packet. The indication information indicates to add processing information to an error packet corresponding to the IP packet. The processing information indicates a manner for processing the error packet. The error packet is generated by a second network device when the IP packet reaches a corresponding maximum hop count. According to the method, the processing information indicating the manner for processing the error packet can be carried in the error packet corresponding to the IP packet, so that the first network device can process the error packet based on the processing information.

Abstract: A device may receive parameters to test modifications to an application associated with a product and/or a service, and may process data identifying the parameters and the application, with a machine learning model, to generate test applications for testing corresponding modifications to the application. The device may define test group sizes of test groups for testing the test applications, and may receive, from user devices, requests for accessing the application. The device may assign, based on the test group sizes, sets of the user devices to the test groups for testing the test applications, and may provide the test applications concurrently to the corresponding sets of the user devices based on the test groups. The device may receive, from the corresponding sets of the user devices, feedback associated with the test applications, and may perform one or more actions based on the feedback.

Abstract: A method for training a conditional neural process for determining a position of an object from image data. The method includes: providing training data for training the conditional neural process, wherein the training data comprise labeled image data showing a particular object and labeled comparison image data regarding the particular object; and training the conditional neural process based on the provided training data, wherein the training of the conditional neural process comprises applying functional contrastive learning, and wherein the training of the conditional neural process comprises applying an end-to-end learning approach.

Abstract: A method for ascertaining a 6D pose of an object. The method includes the following steps: providing image data, wherein the image data include target image data showing the object and labeled comparison image data relating to the object, and ascertaining the 6D pose of the object based on the provided image data using a meta-learning algorithm.

Abstract: A device may receive parameters to test modifications to an application associated with a product and/or a service, and may process data identifying the parameters and the application, with a machine learning model, to generate test applications for testing corresponding modifications to the application. The device may define test group sizes of test groups for testing the test applications, and may receive, from user devices, requests for accessing the application. The device may assign, based on the test group sizes, sets of the user devices to the test groups for testing the test applications, and may provide the test applications concurrently to the corresponding sets of the user devices based on the test groups. The device may receive, from the corresponding sets of the user devices, feedback associated with the test applications, and may perform one or more actions based on the feedback.

Abstract: The present disclosure provides devices for processing, such as staining, a tissue sample on a microscope slide. In some embodiments, the tissue staining device described herein is capable of, e.g., automating, in whole or in part, a tissue staining protocol (including a chemical staining protocol and/or an immuno-based staining protocol) or a tissue dehydration protocol. Also provided in other aspects of the disclosure are components, methods of use, systems, and kits associated with the devices described herein.