Abstract: Embodiments of the present disclosure provide a solution for multi-TRP transmissions. In a method for communication, a terminal device receives from a network device coupled with a plurality of TRPs, control information associated with a transmission of data from the network device to the terminal device. The terminal device determines, from the control information, a repetition scheme to be used by the network device to transmit the data to the terminal device via the plurality of TRPs. The terminal device receives the data from the network device based on the repetition scheme. With the embodiments of the present disclosure, only one DCI can schedule repeated data for multi-TRP transmission without increasing the DCI payload relative to a Rel.15 DCI. Also, the repetition scheme for transmitting data can be indicated by a same DCI more dynamically.

Abstract: Embodiments of the present disclosure relate to a method, terminal device and apparatus for beam report transmission and a method, network node and apparatus for a beam report receiving. In an embodiment of the present disclosure, the method for beam report transmission may include dropping, in response to a collision between a beam report and another uplink control information, a lower-priority one of the beam report and the other uplink control information based on a predetermined priority rule defining a transmission priority of the beam report and the other uplink control information. With embodiments of the present disclosure, it is possible to provide a simple but efficient solution for addressing the collision.

Abstract: Embodiments of the present disclosure relate to methods, devices and computer readable media for channel state information (CSI) feedback. A method comprises determining, at a terminal device, a reference signal resource for coherence measurement of a channel between the terminal device and a network device; performing the coherence measurement using the reference signal resource; and transmitting, to the network device, information indicating a result of the coherence measurement as a part of CSI for the channel.

Abstract: Inter-cell mobility across serving and non-serving cells based on layer 3 measurements is accomplished at the cost of increased delay. Inter-cell mobility across serving and non-serving cells based on layer 1 measurements minimized delay. A user equipment (UE) apparatus that is served by a serving cell of a base station receives, from the serving cell, a configuration to perform layer 1 (L1) measurements based on one or more reference signals from a non-serving cell. The UE also receives the one or more reference signals from the non-serving cell. The UE performs the L1 measurements on the one or more reference signals received from the non-serving cell based on the configuration received from the base station. The UE may perform the L1 measurements on a synchronization signal block (SSB), a channel state information reference signal (CSI-RS), or a positioning reference signal (PRS) from the non-serving cell.

Abstract: An approach for extracting non-textual data from an electronic document is disclosed. The approach includes receiving a request to extract a file and converting the file into pixels. The approach creates a pixel map of the converted file and determines one or more density clusters of the pixel map based on image clustering method. Furthermore, the approach determines one or more coordinates of the one or more density clusters and determines one or more candidate information regions based on the one or more coordinates, density of the one or more density clusters. Finally, the approach extracts one or more textual data based on the one or more candidate information regions and outputs the extracted one or more textual data.

Abstract: Described are techniques for determining statistical properties of time series data. The techniques include a method comprising graphing, from time series data, a time series data graph. The method further comprises iteratively segmenting the time series data graph into respective pluralities of subgraphs using respective segmentation schemes until a first plurality of subgraphs generated by a first segmentation scheme exhibits a similarity between respective subgraphs of the first plurality of subgraphs satisfying a similarity threshold. The first segmentation scheme can be selected from: an equidistant segmentation scheme, a local extrema segmentation scheme, and a windowed segmentation scheme. The method further comprises associating a classification to the time series data based on the first segmentation scheme. The classification can be indicative of one selected from: stationarity of the time series data, periodicity of the time series data, and trending of the time series data.

Abstract: Embodiments of the present disclosure relate to methods, devices and computer readable media for Channel State Information (CSI) transmission. In example embodiments, a method for communication includes determining a payload of channel state information for at least one transmission layer, the at least one transmission layer used for communication between a terminal device and a network device; in response to a determination that the payload exceeds a capacity of available uplink resources, discarding a portion of the channel state information, the discarded portion at least comprising an indication specific to one of the at least one transmission layer; and transmitting, to the network device, remaining portion of the channel state information.

Abstract: Disclosed herein, in some embodiments, are vectors encoding biosynthetic enzymes from gut microbiome-derived bacterium (e.g., Clostridia enzymes), engineered cells comprising the vectors, and methods of using biosynthetic enzymes from gut microbiome-derived bacterium (e.g., Clostridia enzymes) to produce fatty acid amides.

Abstract: A method, system, and computer program product for implementing automated cognitive software application error detection is provided. The method includes receiving data associated with model based self-learning software code. The annotated data is automatically divided with respect to specified categorization and grouping attributes and categorized groups comprising portions of the annotated data are generated and analyzed. At least one incorrect annotation associated a group of the categorized groups is detected and filtered. Likewise, a correct annotation for the group is detected and retrieved from a database. The correct annotation is appended to the group.

Abstract: Embodiments of the present disclosure relate to methods, devices and computer readable media for multi-TRP communication. A method comprises determining a first beam for a first physical shared channel which is scheduled by control information; determining a second beam for a second physical shared channel which is scheduled by the control information, the second beam being different from the first beam; and performing communication over the first physical shared channel via the first beam and over the second physical shared channel via the second beam.

Abstract: A boron heterocyclic compound has a structure represented by Formula (I): in which L represents a single bond, a substituted or unsubstituted phenyl, a substituted or unsubstituted naphthyl, a substituted or unsubstituted anthryl, and D is mainly selected from carbazolyl and derivative groups thereof, acridinyl and derivative groups thereof, or diarylamino and derivative groups thereof. In the boron heterocyclic compound, an acceptor unit is bonded through a boron heterocyclic SP3 linking moiety, which shortens the conjugation length, increases the energy level, and also further improves the thermodynamic stability of the molecule. In addition, the short conjugate axis reduces intramolecular charge transfer and narrows luminescence spectrum to some extent. The compound can be used as a TADF material. Since the light-emitting layer of the light-emitting device does not contain noble metals, the cost thereof can be greatly reduced.

Abstract: Embodiments of the present disclosure relate to methods, devices and computer readable media for Uplink Control Information (UCI) transmission. In example embodiments, a method for communication includes determining, at a terminal device, a first part of a first codebook and a second part of a second codebook, the first part and the second part indicating presence or absence of gains for a plurality of pairs of spatial domain (SD) basis and frequency domain (FD) basis, the first codebook and the second codebook being used for different transmission layers between the terminal device and a network device; determining a bit sequence based on the first part and the second part, each bit in the bit sequence corresponding to one of the plurality of pairs of SD basis and FD basis; and transmitting, to the network device, uplink control information including the bit sequence.

Abstract: An approach is provided for improving a named entity recognition. Using a multi-label classification in a neural network, a sub-entity is identified in an original sentence. First and second labels are determined indicating first and second candidate types of the sub-entity. First and second replacement sentences are generated. The first replacement sentence replaces the sub-entity in the original sentence with a first sub-entity of the first candidate type. The second replacement sentence replaces the sub-entity in the original sentence with a second sub-entity of the second candidate type. First and second confidence scores for the first and second replacement sentences are determined. Based on the first confidence score exceeding the second confidence score by more than a threshold amount, the neural network is retrained by selecting the first instead of the second candidate type as the sub-entity type.

Abstract: This disclosure relates to a method for providing channel state information (CSI) from a remote radio unit (RRU) to a baseband unit (BBU), the method comprising: determining CSI for each user equipment (UE) of a plurality of UEs based on a reference signal received from the respective UE; generating a plurality of correlation coefficients based on the CSI; and providing the plurality of correlation coefficients to the BBU.

Abstract: Methods, systems, and devices for wireless communications are described. In some examples, a user equipment (UE) may transmit, to a base station, indications of capability levels of the UE. Each capability level of the UE may correspond to a respective beam group supported by the UE in a UE cooperation mode. The UE may include sets of antenna components at the UE or distributed across the UE and on or more other devices in the UE cooperation mode. Each set of antenna components may form the respective beam groups. The base station may receive the capability levels of the UE and select an activated capability level for the UE from the reported capability levels. The base station may signal the activated capability level to the UE and perform communications with the UE according to the activated capability level and the corresponding beam group.

Abstract: A data-driven model compression technique is introduced that only targets to provide same accuracy as the original (not compressed) model in certain areas by reducing compression parameters. A compression engine relies on backpropagation to determine an extent of parameter value changes and designate certain parameters as key parameters. The model matrix is reshaped according to importance of each neuron. Only randomly generated parameter values of the reshaped parameter matrix are fine tuned to create a reliable compressed neural network model.

Abstract: A method, system, and computer program product for segmenting and processing documents for optical character recognition is provided. The method includes receiving a document and detecting different types of text data. The document is divided into a plurality of text regions associated with the different types of said text data. Optical noise is removed from each text region and differing optical character recognition software code is selected for application to each text region. The differing optical character recognition software code is executed with respect to each text region resulting in extractable computer readable text located within each said text region.

Abstract: Label-based document classification using artificial intelligence includes collecting, by one or more processors, a plurality of pre-trained classification models into a model pool and a plurality of documents into a document pool. The collected plurality of pre-trained classification models are applied in parallel to the plurality of documents in the document pool to generate a list of labels. Based on the list of labels, a final label result is generated according to which a baseline algorithm for document classification is generated by the one or more processors.

Abstract: Logic may store data structures for two or more processors in memory such as cache, system management memory, protected memory, or other memory. Logic may compress the data structures to be stored in the memory. Logic may determine a reference data structure, store the reference data structure in the memory, determine a difference between a data structure for a second processor and the reference data structure, and store the difference in the memory. Logic may store the difference in the memory within a data structure such as a linked list or a bitmap. Logic may decompress the difference by combining the difference with the reference data structure. Logic may expand the useable data region to include cache in the two or more processors. Logic may instruct two or more processors to store their processor data structures in their respective caches and perform initialization with the processor data structures.

Abstract: Monitoring of an environmental location to detect waste disposal includes receiving, by a computer, a collection of images from aerial data acquisition sources, the collection of images corresponding to the environmental location and the waste disposed in the environmental location. The collection of images are processed by the computer to extract properties of the waste and first properties of the environmental location. Subsequently, the properties of the waste disposed in the environmental location are classified according to a class. Additional information from external data sources including second properties of the environmental location is received by the computer. The computer determines a behavior of waste disposal in the environmental location over a period of time based on the classified properties of the disposed waste and the first and second properties of the environmental location, and generated a remediation plan based on the determined behavior.