Abstract: A display panel, including an active area and a peripheral area, which is located outside of the active area, wherein the active area comprises a base substrate, and a display structure layer and a touch structure layer sequentially arranged on the base substrate; the peripheral area includes an isolation dam, a first ground trace and a second ground trace arranged on the base substrate; and the first ground trace is located at a side of the isolation dam close to the active area, and the second ground trace is located at a side of the isolation dam away from the active area.

Abstract: This disclosure relates to techniques for providing channel state information reference signals for a reduced capability wireless device in a wireless communication system. A wireless device and a cellular base station may establish a wireless link. Channel state information acquisition for a bandwidth part may be configured for the wireless device. The wireless device may determine channel state information reference signal resources for the channel state information acquisition. The channel state information reference signal resources may include multiple resource elements per antenna port per physical resource block for the bandwidth part. The wireless device may perform channel state information acquisition using the channel state information reference signal resources.

Abstract: The present disclosure provides systems and methods that combine physics-based systems with machine learning to generate synthetic LiDAR data that accurately mimics a real-world LiDAR sensor system. In particular, aspects of the present disclosure combine physics-based rendering with machine-learned models such as deep neural networks to simulate both the geometry and intensity of the LiDAR sensor. As one example, a physics-based ray casting approach can be used on a three-dimensional map of an environment to generate an initial three-dimensional point cloud that mimics LiDAR data. According to an aspect of the present disclosure, a machine-learned model can predict one or more dropout probabilities for one or more of the points in the initial three-dimensional point cloud, thereby generating an adjusted three-dimensional point cloud which more realistically simulates real-world LiDAR data.

Abstract: Aspects herein relate to wireless devices, circuits, and methods for determining a PRACH resource mapping comprising a starting symbol position within a reference slot, wherein the starting symbol position is determined based, at least in part, on a subcarrier spacing configuration of PRACH resources of a wireless network that a wireless device is operating on; and using the radio to transmit a RACH preamble and an associated RA-RNTI via the determined PRACH resource mapping. Further aspects herein relate to devices, circuits, and methods for using a modified RA-RNTI for transmission or reception of data over a wireless network, wherein the wireless network has a subcarrier spacing configuration of PRACH resources, wherein a size of the subcarrier spacing configuration of the PRACH resources causes out-of-range RA-RNTI values to be calculated using a legacy RA-RNTI equation in an unmodified form, wherein the range of permissible RA-RNTI values is from 0 to 216?1.

Abstract: A self-propelled full-automatic dense-planting vegetable transplanter and control method thereof includes a seedling taking and throwing mechanism, a box moving device, a crawler-type walking chassis, a seedling guiding device, a soil covering mechanism, a planting mechanism, and a dispersing device. The box moving device is mounted on the crawler-type walking chassis. The dispersing device is located on one side of the box moving device. The seedling taking and throwing mechanism includes a seedling taking and throwing movement mechanism and a linear movement mechanism. The linear movement mechanism is arranged above the box moving device. The seedling taking and throwing movement mechanism is configured to reciprocate between the dispersing device and the box moving device through the linear movement mechanism. The dispersing device is connected to the seedling guiding device.

Abstract: A user equipment (UE) is configured to determine a repetition factor for physical uplink control channel (PUCCH) transmissions. The UE receives a first physical uplink control channel (PUCCH) repetition factor indication, wherein the first PUCCH repetition factor indication is a radio resource control (RRC)-based indication, receives a second PUCCH repetition factor indication, wherein the second PUCCH repetition factor is dynamically indicated via a downlink control information (DCI) transmission and determines a number of PUCCH repetitions based on at least one of the first and second PUCCH repetition factor indications.

Abstract: A method for domain name detection, a device and a storage medium are provided. The method includes: matching a to-be-detected domain name with a preset domain name set; in response to the to-be-detected domain name being not in the preset domain name set, calculating an edit distance between at least part of level domain names of the to-be-detected domain name and a preset domain name keyword in a domain name keyword set; in response to an edit distance between a target level domain name and a target preset domain name keyword being smaller than preset distance threshold, acquiring a character pair in which the target level domain name differs from the target preset domain name keyword, and matching with a similar character pair set; and in response to determining the character pair being in the similar character pair set, determining that the to-be-detected domain name has a security risk.

Abstract: A synchronization method includes obtaining a first timestamp difference of a packet on a target link. The first timestamp difference is a difference between a sending timestamp and a receiving timestamp of the packet at a first moment. The synchronization method further includes performing packet selection based on the first timestamp difference to obtain a second timestamp difference; obtaining a delay prediction value of the target link at the first moment, compensating for the second timestamp difference based on the delay prediction value to obtain a compensated timestamp difference; and performing time and/or clock synchronization based on the compensated timestamp difference. The second timestamp difference is compensated for based on the delay prediction value, that is, PDV noise introduced to the target link is compensated for. In this way, the PDV noise is reduced.

Abstract: A user equipment (UE) monitoring for a page in a 5G network. The UE monitoring a paging occasion corresponding to the UE in a Physical Downlink Control Channel (PDCCH) to determine whether the paging occasion includes paging downlink control information (DCI), when the PDCCH includes the paging DCI, decoding the paging DCI to determine whether the paging DCI includes scheduling information for a Physical Downlink Shared Channel (PDSCH), determining, based on at least the scheduling information, whether to receive the PDSCH in a scheduled slot that is offset N slots from a scheduled slot in which the paging DCI is received and when it is determined to receive the PDSCH, decoding the PDSCH.

Abstract: An exhaust pipe, a method for optimizing and designing an exhaust pipe, and an engine are provided. The exhaust pipe includes a first exhaust pipeline arranged in a first direction, an EGR pipeline arranged in a second direction, and a pre-turbine pipeline arranged in a third direction. An input end of the EGR pipeline is communicated with an output end of the first exhaust pipeline, and an included angle ?1 between the first direction and the second direction is smaller than 60°. The pre-turbine pipeline, the EGR pipeline and the first exhaust pipeline are located in a first plane; the pre-turbine pipeline is communicated with the EGR pipeline, an included angle ?2 between the third direction and the second direction is smaller than or equal to 90°, and a cross-sectional diameter D of the pre-turbine pipeline is 0.2-1 times the diameter H of the first exhaust pipeline.

Abstract: Systems, apparatus, methods, and computer programs for coordination of communications between user equipment (UE). In aspect, a method can include receiving, by UE-B, data transmitted by UE-A, the received data comprising stage 2 sidelink control information (SCI) and an inter-UE coordination (IUC) message, determining, by the UE-B, a number of N combinations of TRIV, FRIV, and periodicity in the stage 2 SCI based on at least a portion of the received data, determining, by the UE-B, a payload size of the stage 2 SCI based on the determined number of N combinations, and decoding, by the UE-B, inter-UE coordination (IUC) message comprising stage 2 SCI based on the determined payload size.

Abstract: This disclosure relates to techniques for improving capability signaling and performing search space set switching, particularly with large sub-carrier spacings, as in high frequency ranges. In various scenarios, a user equipment (UE) device may signal its capability to perform multi-slot PDCCH monitoring and/or single-slot PDCCH monitoring, e.g., at various sub-carrier spacings, for various PDCCH/DCI types, etc. Various technical difficulties in this area are addressed, including increasing flexibility and versatility in capability signaling, overbooking, signaling and timing of search space set switching, and beam sweeping transmission of DCI Format 2_0, among others.

Abstract: This disclosure relates to techniques for performing wireless communications including determination of actual time windows for maintaining power consistency and/or phase continuity associated with transmission between a user equipment (UE) and a base station. Techniques for determining the length, begging, and end of such windows are disclosed. A UE and/or base station may use various rules to determine the window(s).

Abstract: A vertebral body distraction support nail, including a support nail body including an inner core, an outer sleeve and a distraction ball, and a support nail cap including a cylindrical upper support nail cap and a pressure cap. The inner core is threadedly connected inside the outer sleeve, and has upper and lower ends both extending out of the outer sleeve. The lower end of the inner core is provided with a tapered stapling head. The distraction ball is fitted over the inner core between the tapered stapling head and the outer sleeve. An upper support nail cap cavity has a lower end connected to an upper end of the outer sleeve and an upper end into which the upper end of the inner core extends. The pressure cap is engaged with and slidably connected to the upper end of the inner core and the upper support nail cap.

Abstract: A base station that determines a slot for uplink reception for a non-terrestrial network link between a base station and a user equipment is described. In exemplary embodiments, the base station determines a timing advance based on at least a random access preamble reception and determines an uplink offset based on the timing advance. The base station may further determine a candidate slot for an uplink reception based on at least the offset. In addition, the base station may determine if the candidate slot is available for the uplink reception. The base station may use the candidate slot for the uplink reception when the candidate uplink slot is available and may use the next available slot for the uplink reception when the candidate uplink slot is not available.

Abstract: Apparatuses, systems, and methods for downlink control resources sets and RACH procedures during initial access in wireless communication, e.g., in 5G NR systems and beyond, including methods for CORESET#0 configuration, SSB/CORESET #0 multiplexing pattern 1 for mixed SCS, time-domain ROs determination for 480 kHz/960 kHz SCSs, and RA-RNTI determination for 480 kHz/960 kHz SCSs.

Abstract: A machine learning power consumption model and process are provided for determining power consumption of computing environment resources in handling requests of an application. The process includes training the machine learning power consumption model to estimate power consumption of computing environment resources in handling requests. The training uses a training dataset derived from historical request-related data, and the training dataset includes request-related data and resource power consumption data. In addition, the process includes analyzing the requests. The analyzing includes, for a particular request of the requests, obtaining a common pattern of resource use and collecting real-time trace metrics to facilitate allocating resource use to the particular request.

Abstract: The present disclosure proposes configuration for TB processing over multi-slot, particularly Transmission Block over multi-slot (TBoMS) transmission. Specifically, such configuration for TBoMS may relate to at least one of size determination for TBoMS, scheduling for TBoMS transmission, resources determination and allocation for TBoMS transmission, and so on, and corresponding information related to such configuration can be acquired, set or determined appropriately, so that the TB processing over multi-slot can be performed accordingly.