Abstract: A method of a near-real time controller may comprise: receiving, from a non-real time controller, information on an offline-trained artificial intelligence/machine learning (AI/ML) model; obtaining, from a base station, first data for beam management inference based on the offline-trained AI/ML model; performing beam management inference based on the offline-trained AI/ML model using the first data; and providing a control and policy according to a result of performing the beam management inference to the base station.

Abstract: A method of a second communication node may comprise: obtaining a compensated first reception signal by performing channel estimation between a first communication node and a second communication node for a first transmission signal received from the first communication node; obtaining an offset-demodulated signal and a first demodulated bit sequence by performing offset-demodulation on the first reception signal; obtaining a frequency-domain signal by performing time-to-frequency domain transform on the offset-demodulated signal; obtaining a complex signal sequence by performing subcarrier deallocation on the frequency-domain signal; obtaining a second demodulated bit sequence by performing QAM demodulation on the complex signal sequence according to the first demodulated bit sequence; and obtaining a final demodulated bit sequence by performing reassembly on the first demodulated bit sequence and the second demodulated bit sequence.

Abstract: Disclosed herein is an apparatus and method for searching for a neural network architecture. The apparatus calculates operator selection probability variables for respective layers based on candidate operators included in the respective layers in a supernet learning framework in which multiple layers are sequentially connected, calculates the result values of the multiple layers based on the operator selection probability variables, and selects any one of the candidate operators included in the multiple layers based on the result values.

Abstract: Disclosed herein is an apparatus and method for managing a giant model. The apparatus includes memory in which at least one program is recorded and a processor for executing the program. The program may perform lightweighting a first model into a second model in consideration of hardware resources, generating partitioning information of the first model based on a result of analysis of the second model, and performing training or inference for the first model based on the generated partitioning information.

Abstract: An operation method of a terminal in a communication system may comprise: receiving downlink control information (DCI) for scheduling uplink transmission from a base station; identifying a communication node initiating a channel occupancy time associated with the uplink transmission based on a channel access parameter included in the DCI; and performing the uplink transmission scheduled by the DCI within the channel occupancy time initiated by the communication node, wherein the communication node is the terminal or the base station.

Abstract: Disclosed herein is an apparatus and method for processing write-on-copy for supporting a fork in a memory disaggregation system. The method includes, when a child process is generated in the event of a fork, processing the fork by copying a page table for disaggregated memory of a parent process to the child process and setting write protection on a page of the disaggregated memory; and processing write access to the write-protected page. Processing the write access may use at least one of a first handler corresponding to access to the write-protected page mapped to the page table, or a second handler corresponding to the write access to the write-protected page that is not mapped to the page table, or a combination thereof.

Abstract: Parameter optimization method for nonlinear vibration model of complex device, comprising: 1) constructing various structures of complex device into tree structure, to form tree-shaped complex device model subsystem, and carrying out sign convention for dynamic analysis; 2) establishing complex device dynamic model to obtain dynamic relationships among all parts of complex device; 3) according to contact and collision conditions in advancing process of physical complex device, adding constraint relationships among parts in dynamic simulation software; 4) on basis of dynamic simulation software, establishing virtual prototype model of complex device, and determining target parameter and optimization target; 5) simulating vibration characteristics of complex device for different levels of pavement spectrums and different vehicle speeds; 6) adding required input point and output point for virtual prototype model; 7) on basis of optimization algorithm of numerical solution in small sample deep learning, obtaining

Abstract: A method for unrolling and rolling a rollable screen. The method includes: starting a rollable screen motor in a case where a target gesture for a display screen meets a preset gesture; and determining a motion parameter of the rollable screen motor according to the target gesture, wherein the motion parameter is configured for indicate that the rollable screen is unrolled to a first preset state, or is closed to a second preset state.

Abstract: An operation method of a terminal in a communication system may comprise: receiving, from a base station, a first SSB; determining a RACH occasion associated with the first SSB; transmitting, to the base station, a PRACH preamble in the RACH occasion within a first radio resource to which a first SCS is applied; determining a slot to which the RACH occasion belongs based on a reference radio resource to which a reference SCS is applied instead of the first SCS; determining an RNTI for a random access procedure based on a slot index for the slot; and performing a reception operation of a response for the PRACH preamble by using the RNTI in the first radio resource.

Abstract: According to an aspect of the present disclosure, there is provided a method for estimating a total link service rate using packet metadata, the method comprising: extracting a packet satisfying a predetermined condition from each flow; extracting a link service rate from metadata of the extracted packet; and estimating a total link service rate based on the extracted link service rate, wherein the packet satisfying the predetermined condition is determined based on an estimation reference time and finish times of consecutive packets, and wherein the finish times indicates ideal transmission finish times of the packets.

Abstract: A method of a terminal may comprise: obtaining information on a dedicated service area of a non-terrestrial base station from the non-terrestrial base station; receiving neighboring cell information from the non-terrestrial base station; identifying a measurement target neighboring cell based on the neighboring cell information; and determining whether to initiate cell measurement on the measurement target neighboring cell based on the information on the dedicated service area.

Abstract: An electronic device for managing a network device by using a digital twin and an operating method thereof are provided. The electronic device includes a processor and a memory configured to store instructions, wherein the instructions, when executed by the processor, cause the electronic device to obtain traffic information of a network device, generate digital twins respectively corresponding to the network device and the traffic information, synchronize current traffic information of the network device with the digital twins corresponding to the traffic information, and train a model that is configured to predict an abnormal situation of the network device, based on the synchronized digital twins.

Abstract: Methods for resource indication and a terminal device are provided in implementations of the disclosure. The method includes the following. A first terminal device transmits a shared resource set to a second terminal device through first signaling, where the shared resource set indicates transmission resources for sidelink (SL) communication.

Abstract: Embodiments of the present application provide a wireless communication method and a terminal device, in which cell reselection can be performed under a circumstance that the terminal device supports both LTE sidelink communication and NR sidelink communication. The wireless communication method includes: the terminal device determining a carrier priority order of multiple carriers used for cell reselection according to a carrier attribute, where the carrier attribute is for sidelink communication of at least two networks.

Abstract: A method for image search, an electronic device, and a non-transitory computer-readable storage medium are provided. The method includes the following. Receive a query text. Process the query text to obtain a first multi-dimensional word vector. Perform, with a text gated network in a dual gate network, a first weighted operation on the first multi-dimensional word vector to obtain a second multi-dimensional word vector. Search for at least one target image according to the second multi-dimensional word vector and a second multi-dimensional visual vector for each image in an image file. The second multi-dimensional visual vector for each image is obtained by performing, with a visual gated network in the dual gate network, a second weighted operation on a first multi-dimensional visual vector for each image, and the second multi-dimensional word vector and the second multi-dimensional visual vector for each image are in a same space.

Abstract: Disclosed are a method for adjusting an interface display state, and an electronic device. The method is performed by an electronic device with a display screen, and the method includes: in response to a zooming operation for a display interface of a target application, determining attribute information of the display interface during the zooming operation; and in response to the end of the zooming operation, adjusting a display state of the display interface when the attribute information satisfies a pre-set condition.

Abstract: Disclosed herein is a method for encoding an immersive image. The method includes detecting a non-diffuse surface in a first texture image of a first view, generating an additional texture image from the first texture image based on the detected non-diffuse surface, performing pruning on the additional texture image based on a second texture image of a second view, generating a texture atlas based on the pruned additional texture image, and encoding the texture atlas.

Abstract: A method for automatically recognizing a location of an object so that a robot can grasp and transfer the product in an apparatus for automatically recognizing a location of an object is provided. The method for automatically recognizing a location of an object obtains one frame from image data of the product produced by the manufacturing facility, detects location and shape information of the product based on a hue, saturation, value (HSV) color space using the frame, generates a recipe for the robot to grasp and transfer the product based on the location and shape information of the product, and transmits the recipe to the robot.

Abstract: The multi-turn dialogue system based on retrieval includes the following modules: a representation module, a matching module, an aggregation module and a prediction module; the multi-turn dialogue method based on retrieval includes the following steps: (1) by a representation module, converting each turn of dialogue into a cascade vector of the dialogue, and converting a candidate answer into a cascade vector of the candidate answer; (2) by a matching module, dynamically absorbing context information based on a global attention mechanism, and calculating a matching vector; (3) by aggregation module, obtaining a short-term dependence information sequence and a long-term dependence information sequence; (4) by a prediction module, calculating the matching score of the context and candidate answer involved in the matching; (5) selecting a candidate answer with the highest matching score as a correct answer.

Abstract: An image processing method and device, an equipment, and a computer-readable storage medium are provided. The method includes the following. An image is obtained. Object detection is performed on the image with an object detection network to obtain an object detection result. The object detection network is a network obtained by performing object detection on sample images in a sample image set based on at least one cluster center value with an initial object detection network and training iteratively the initial object detection network based on results of the object detection. The at least one cluster center value is obtained by clustering labeled regions in a labeled region set corresponding to the sample image set based on preset attribute information. The image is processed based on the object detection result.