Abstract: A wireless communication apparatus includes processor circuitry configured to control to perform data communication when communication is implemented with another wireless communication apparatus, the data communication selectively using a multiple-cell group, the multiple-cell group being selected when communication with the other wireless communication apparatus in a non-communication mode is established and being able to perform data communication allowed even in the non-communication mode.

Abstract: Embodiments of this disclosure provide an inter-UE coordination apparatus and method, the method including: transmitting sidelink control information and sidelink data information by a terminal equipment, the sidelink control information indicating a reserved resource; performing preemption detection on the reserved resource; and determining whether to receive coordination information used to indicate that a conflict occurs in the reserved resource, and/or determining whether to perform resource reselection based on the received coordination information, according to whether the reserved resource is preempted. Hence, unnecessary resource reselection may be avoided, probabilities of occurrence of conflicts may be reduced, and transmission reliabilities may be improved.

Abstract: Embodiments of this disclosure provide a beam failure processing method and apparatus, an information transmitting method and apparatus. The processing apparatus includes: receive configuration information transmitted by a network device, the configuration information configuring TRP-specific beam failure detection (BFD) and/or TRP-specific beam failure recovery (BFR) related to at least two transmission/reception points (TRPs) for the terminal equipment; and a first processing unit configured to, when a beam failure is detected or beam failure recovery is triggered on the at least two TRPs and the at least two TRPs are associated with the same cell, or when a beam failure is detected or beam failure recovery is triggered on a designated TRP, trigger BFR of a cell or not to trigger BFR of a cell or initiate a random access procedure.

Abstract: An apparatus for receiving a common signal, applicable to a terminal equipment includes processor circuitry configured to perform: receiving master information block (MIB) information and/or system information block (SIB) information of one or more second cells transmitted by a first cell; detecting a reference signal of the second cell; and obtaining synchronization with the second cell via the detected reference signal of the second cell.

Abstract: A packet control apparatus includes a transmission source device configured to add processing wait information that indicates whether to permit immediate processing to a packet to be transmitted to a destination, and a transmission target device configured to, in a case where the processing wait information is added to the packet, wait for and receive a processing permission notification that indicates a completion of a preceding packet from the transmission source device, and process the packet, the transmission target device being a device of the destination, wherein the transmission source device and the transmission target device are coupled to each other through a bus.

Abstract: A transmission device includes a communication circuit configured to wirelessly communicate with a reception device, by using a plurality of wireless services including a first wireless service having a first priority and a second wireless service having a second priority that is a priority lower than the first priority, and a processing circuit configured to perform, in accordance with a first information element, allocating of an uplink radio resource to transmission data of the first wireless service, the allocating of the uplink radio resource being performed in a situation, the situation being a situation that a medium access control-protocol data unit (MAC-PDU) has been generated or can be generated in response to allocating the uplink radio resource to a transmission data of the second wireless service, the first information element indicating a value configured to control logical channel prioritization (LCP) procedure.

Abstract: A wireless communication device includes: a reception controller that receives a signal transmitted to a plurality of wireless communication devices including the wireless communication device, and acquires data included in a reception signal; a detector that detects a retransmission request for requesting retransmission of the data, the retransmission request being transmitted by another wireless communication device by using a channel in accordance with a position of the other wireless communication device, and that identifies the position of the other wireless communication device based on a channel in which the retransmission request has been detected; a determination unit that determines whether or not to relay data to the other wireless communication device in accordance with a distance to the position identified by the detector; and a transmitter that transmits the data acquired by the reception controller to the other wireless communication device when the determination unit determines to relay data.

Abstract: In an embodiment, operations include receiving first information associated with a first person and a first request of the first person to one or more institutions. A set of attributes of the first person is extracted and used to construct a causal model. The causal model represents causal relationships amongst attributes of the set of attributes. For the first person, a utility function associated with each of a plurality of AI models associated with the one or more institutions is determined. The utility function is determined based on the causal model, a first set of empathy criteria associated with the first person, and a second set of empathy criteria associated with each of the one or more institutions. For the utility function, optimin-point information is determined to reconcile a plurality of decisions taken by the plurality of AI models for the first request. The reconciled decision is rendered.

Abstract: Methods and apparatuses for transmitting and configuring sidelink data. The method includes: receiving by a terminal equipment control information including a sidelink grant and transmitted by a network device, the control information further indicating at least one piece of destination information to which the sidelink grant is directed; determining at least one destination and/or logical channel according to the destination information; and transmitting sidelink data of the at least one destination and/or logical channel according to the sidelink grant. Thus, the network device is enabled to schedule different resources for different destination terminal equipments.

Abstract: First transmission device includes a first counter that generates counter value incremented in a specified cycle. Second transmission device includes a second counter that generates counter value incremented in the specified cycle. Polarization variation monitoring device acquires a first counter value generated by the first counter and a second counter value extracted by the first transmission device from a received frame transmitted from the second transmission device when the first transmission device detects polarization variation, and a third counter value generated by the second counter and a fourth counter value extracted by the second transmission device from a frame transmitted from the first transmission device when the second detector detects the polarization variation. The polarization variation monitoring device determines an occurrence position of the polarization variation based on the first counter value, the second counter value, the third counter value and the fourth counter value.

Abstract: A base station device that allocates wireless resources to a terminal device and performs wireless communication with the terminal device using the allocated wireless resources, the base station device includes, deciding controller that decides, out of a plurality of retransmission patterns, a retransmission pattern for performing retransmission of data to the terminal device, in accordance with a communication state of wireless communication, and a transmitter that performs initial-time transmission processing of transmitting a control signal for wireless resource allocation control, and a data signal for data transmission including data to be transmitted to the terminal device, including retransmission pattern information relating to the retransmission pattern that has been decided, and retransmission processing of retransmitting the data signal including data to be transmitted to the terminal device, in accordance with the retransmission pattern that has been decided.

Abstract: A terminal device includes: a receiver configured to: receive RRC signaling for configuring one or a plurality of channel access types, the one or the plurality of channel access types including at least one of the following: a first channel access type not performing channel detection, a second channel access type containing a detection interval, a third channel access type containing a detection interval and a contention window, and receive downlink control information (DCI) indicating a channel access type of a Physical Uplink Control Channel (PUCCH) used for transmitting HARQ feedback information from the one or the plurality of channel access types; and a transmitter configured to transmit the PUCCH according to the channel access type of the PUCCH.

Abstract: Avoiding False Negatives in vision-based multi-view gymnast detection presents a significant challenge. Detection results with False Negatives can further impact subsequent processing, such as multi-view 3D pose estimation. Therefore, interpolating missing bounding boxes is a desirable solution. Assuming that calibrated camera parameters are known, our method interpolates missing bounding boxes when a gymnast's 2D bounding boxes are detected in more than two views but are absent in others. This method primarily involves three steps: 1) Inferring the vertical 3D body center line using detected cross-view 2D bounding boxes and camera parameters through 2D-to-3D projection; 2) Obtaining the average 3D gymnast scale from pre-acquired data, and then calculating the 3D horizontal scale based on the 3D vertical scale obtained in step 1; 3) Interpolating the missing 2D bounding boxes using the inferred 3D vertical line and horizontal scale through 3D-to-2D projection.

Abstract: A method may include obtaining a graph dataset that represents a social network and includes a plurality of nodes. The method may include partitioning the graph dataset into a first node cluster and a second node cluster in which the first node cluster and the second node cluster each include one or more nodes from the graph dataset. The method may include identifying one or more first candidate influential nodes included in the first node cluster and one or more second candidate influential nodes included in the second node cluster. The method may include selecting one or more of the first candidate influential nodes and the second candidate influential nodes as influencer nodes and identifying a respective object included in the social network corresponding to each of the influencer nodes.

Abstract: A non-transitory computer-readable recording medium stores an estimation program for causing a computer to execute processing including: specifying positions of a plurality of joints included in a face of a player by inputting an image in which a head of the player is in a predetermined state to a machine learning model; and estimating a position of a top of the head of the player using each of the positions of the plurality of joints.

Abstract: A processing method includes: calculating, when receiving a plurality of characters or a plurality of character strings to be registered in a database, a plurality of vectors corresponding to the plurality of characters or the plurality of character strings; classifying the plurality of vectors into a plurality of clusters according to inter-vector distances; acquiring, for each of the plurality of clusters, a representative vector which represents one or more vectors included in each cluster and a distance corresponding to a magnitude of the one or more vectors included in each cluster from the representative vector of each cluster; and storing, in a memory, dictionary information in which the representative vector and the distance are associated with cluster identification information which identifies each of the plurality of clusters.

Abstract: A non-transitory computer-readable recording medium stores a program for causing a computer to execute a process, the process includes identifying first named entities and first verbs in a dependent relationship respectively with the first named entities from each of a plurality of sentences, vectorizing each of the plurality of sentences based on the first named entities and the first verbs, identifying, out of the plurality of sentences, one or more sentences each having a similarity greater than or equal to a threshold with respect to a specific sentence based on a plurality of vectors generated by the vectorizing, the similarity between two sentences being defined as a similarity between vectors generated by vectorizing the two sentences, and executing training of a machine learning model based on the one or more sentences.

Abstract: According to one or more embodiments, operations may include normalizing machine learning (ML) pipelines of existing ML projects stored in a corpus of existing ML projects. The operations may also include extracting functional blocks from the normalized ML pipelines. In addition, the operations may include assigning a label to each of the functional blocks in the normalized ML pipelines. Moreover, the operations may include indexing each of the ML pipelines in the corpus based on the labels assigned to the functional blocks. In addition, the operations may include utilizing the labels assigned to the functional blocks in the corpus to generate a new pipeline to perform a new ML task on a new dataset of a new ML project.

Abstract: A data transmission apparatus, applicable to a UE, the apparatus includes a receiver configured to receive configuration information about data radio bearers (DRBs), the configuration information indicating TTI length to which each DRBs for the UE corresponds, the DRBs being configured by radio resource control (RRC), and receive one or more uplink grant, each of the uplink grants of the one or more uplink grants corresponding to a TTI length different from another TTI length of another uplink grant, a transmitted configured to transmit data using an uplink shared channel corresponding to each TTI length according to an uplink grant in the one or more uplink grants.

Abstract: A non-transitory computer-readable recording medium stores a program for causing a computer to execute a process, the process includes determining, for an n-dimensional array (n?3) included in an instruction code in an innermost loop of a multiple loop included in a source code, whether array sizes of a first argument and a second argument match numbers of rotations of a first index and a second index in the multiple loop, respectively, when the array sizes match the numbers of rotations and when each initial value and each increment value of the first and second indexes is 1, replacing the first argument and the second argument of the n-dimensional array included in the instruction code with a third argument and changing the n-dimensional array to an (n?1)-dimensional array, and integrating a loop that uses the first index and a loop that uses the second index.