Abstract: Disclosed are a carrier data processing method and apparatus, a network device, and a storage medium. The carrier data processing method includes: acquiring multiple groups of carrier data and a carrier aggregation configuration parameter corresponding to the multiple groups of carrier data (S100); performing first processing on the multiple groups of carrier data according to the carrier aggregation configuration parameter to obtain frequency-domain carrier aggregation data (S200); performing second processing on the frequency-domain carrier aggregation data to obtain time-domain carrier aggregation data (S300); and performing third processing on the time-domain carrier aggregation data to obtain multiple groups of time-domain carrier data (S400).

Abstract: Provided are computer-implemented systems and methods for providing explainable predictions, including receiving a prediction objective from a user; providing at least one data set from at least one data source; determining, at a processor, at least one activity from the at least one data set, the at least one activity comprising a feature of the corresponding data set; generating, at the processor, at least one attribution model from the at least one feature, the at least one attribution model operative to provide a prediction and an associated explanation; generating an explainable prediction comprising a prediction rationale based on the prediction objective received from the user and the at least one attribution model.

Abstract: Techniques are disclosed relating to sharing data. A first computer system may receive data shared by a second computer system to permit the first computer system to perform processing of the data according to a set of policies. The first computer system may instantiate a verification environment in which to process the shared data. The first computer system may process a portion of the shared data by executing a set of processing routines to generate a result based on the shared data. The verification environment may verify whether the result is in accordance with the set of policies. The verification environment may determine whether to output the result based on the verifying and may send an indication of an outcome of the determining to the second computer system. The indication may be usable to determine whether to provide the first computer system with continued access to the shared data.

Abstract: Techniques are disclosed relating to data discovery. A control program that is executing on a computer system may receiving a request to locate instances of data on a computer network having a plurality of computer systems that are managed by an orchestration program. The control program may perform multiple, limited-time-period deployments of a sniffer program to different portions of the computer network in order to sample network traffic from the different portions to determine whether instances of the data appear in the network traffic. The control program may receive, from the sniffer program, information that identifies one or more of the different portions of the computer network whose network traffic included instances of the data.

Abstract: Techniques are disclosed relating to the management of data. A data provider computer system may store particular data of a user. The data provider computer system may commence sharing of a portion of the particular data with a data consumer computer system. The data provider computer system may continue sharing additional portions of the particular data with the data consumer computer system in response to receiving a report from a verification environment indicating that the particular data is being utilized by the data consumer computer system in accordance with a specified usage policy.

Abstract: Systems, methods, and computer readable media for data augmentation are described. The system comprises a network device, a memory comprising a data augmentation model and a plurality of seed entries, and a processor in communication with the network device and the memory. The processor is configured to receive a candidate data item in a second data set, generate a candidate seed corresponding to the candidate data item, and determine a data feature, based on the data augmentation model, for the candidate seed. Additionally, the processor is configured to generate at least one matching seed in the plurality of seed entries, the at least one matching seed based on the data feature. The processor is further configured to augment the candidate data item with data corresponding to the at least one matching seed.

Abstract: Techniques are disclosed relating to sharing data. A first computer system may receive data shared by a second computer system to permit the first computer system to perform processing of the data according to a set of policies. The first computer system may instantiate a verification environment in which to process the shared data. The first computer system may process a portion of the shared data by executing a set of processing routines to generate a result based on the shared data. The verification environment may verify whether the result is in accordance with the set of policies. The verification environment may determine whether to output the result based on the verifying and may send an indication of an outcome of the determining to the second computer system. The indication may be usable to determine whether to provide the first computer system with continued access to the shared data.

Abstract: Techniques are disclosed relating to data management. A computer system may evaluate network traffic to extract and group data objects based on their content satisfying similarity criteria, and to identify baseline behavior with respect to those data objects. The computer system may generate data-defined network (DDN) data structures that include a content class and one or more behavioral classes. The content class may be indicative of one or more of the data objects that have been grouped based on them satisfying the similarity criteria. The one or more behavioral classes may indicate baseline behavior of those data objects within the content class as determined from evaluation of the network traffic. The computer system may detect, using the DDN data structures, anomalous data behavior within network traffic. In response to detecting anomalous data behavior, the computer system may prevent network traffic corresponding to the anomalous data behavior from being communicated.

Abstract: Techniques are disclosed relating to data management. A computer system may evaluate network traffic to extract and group data objects based on their content satisfying similarity criteria, and to identify baseline behavior with respect to those data objects. The computer system may generate data-defined network (DDN) data structures that include a content class and one or more behavioral classes. The content class may be indicative of one or more of the data objects that have been grouped based on them satisfying the similarity criteria. The one or more behavioral classes may indicate baseline behavior of those data objects within the content class as determined from evaluation of the network traffic. The computer system may detect, using the DDN data structures, anomalous data behavior within network traffic. In response to detecting anomalous data behavior, the computer system may prevent network traffic corresponding to the anomalous data behavior from being communicated.

Abstract: Techniques are disclosed relating to sharing data. A first computer system may receive data shared by a second computer system to permit the first computer system to perform processing of the data according to a set of policies. The first computer system may instantiate a verification environment in which to process the shared data. The first computer system may process a portion of the shared data by executing a set of processing routines to generate a result based on the shared data. The verification environment may verify whether the result is in accordance with the set of policies. The verification environment may determine whether to output the result based on the verifying and may send an indication of an outcome of the determining to the second computer system. The indication may be usable to determine whether to provide the first computer system with continued access to the shared data.

Abstract: Techniques are disclosed relating to data discovery. A control program that is executing on a computer system may receiving a request to locate instances of data on a computer network having a plurality of computer systems that are managed by an orchestration program. The control program may perform multiple, limited-time-period deployments of a sniffer program to different portions of the computer network in order to sample network traffic from the different portions to determine whether instances of the data appear in the network traffic. The control program may receive, from the sniffer program, information that identifies one or more of the different portions of the computer network whose network traffic included instances of the data.

Abstract: The present invention discloses a micro gradient filter material of high-efficiency low-resistance micron-nano fibers and a preparation method therefor. The material comprises a nano fine filter layer, a micron support primary filter layer, and a protective surface layer; the micron support primary filter layer and the nano fine filter layer are alternately superimposed, and arranged between the two protective surface layers; the nano fine filter layer has a grid structure composed of a plane matrix fiber layer and cones, wherein the fibers between the point of the cone and the grid matrix fiber layer form a structure oriented from the point to the plane matrix fiber layer. In the present invention, the uncharged filter material of has a filtration efficiency of 99.9% to 99.999% and a pressure drop of 130-300 Pa for the NaCl aerosol with a mass median diameter of 0.26 ?m, and the uncharged filter material has a filtration efficiency of 99.9% to 99.