Abstract: Systems and methods are disclosed for parallelizing service function chains.

Abstract: A composite photocatalyst, a method of producing said composite photocatalyst, a method of degrading an organic pollutant using the composite photocatalyst, and a method of producing hydrogen using the composite photocatalyst. The composite photocatalyst includes graphene, tungsten oxide, a metal boride, and a metal hydroxide. The photocatalyst is capable of degrading an organic pollutant when exposed to light. The photocatalyst is also capable of producing hydrogen from water when exposed to light under suitable conditions.

Abstract: The present invention discloses a power control apparatus and method in a wireless communication system. According to the present invention, among FUE units neighboring to an MUE unit of a victim cell, an FUE unit of an aggressor cell may be derived on the basis of information on RSRP of the FUE unit registered in a closed subscriber group, and a threshold interference value of the FUE unit. Also, power of the derived FUE unit of the aggressor cell may be gradually decreased until an interference of the MUE unit of the victim cell becomes greater than a predefined threshold interference value, and an SINR of the FUE unit of the aggressor cell becomes equal to or greater than a target SINR. Accordingly, CCI can be reduced in a heterogeneous network environment, data transmission speed can be improved, and latency time can be reduced by reducing feedback time.

Abstract: A system may assist with checking policy impact in a software-defined infrastructure environment. The system's data analysis may enable it to discover and quantify the impact of policies on software-defined infrastructure objects in the same or different layers.

Abstract: Disclosed herein are an in-network caching apparatus and method. The in-network caching method using the in-network caching apparatus includes receiving content from a second node in response to a request from a first node; checking a Conditional Leave Copy Everywhere (CLCE) replication condition depending on a number of requests for the content; checking a priority condition based on a result value of a priority function for the content; checking a partition depending on the number of requests for the content; performing a cache replacement operation for the content depending on a result of checking the partition for the content; and transmitting the content to the first node.

Abstract: A computer-implemented method for training a machine learning system to generate driving profiles of a vehicle. The method includes first travel routes are selected from a first database having travel routes, a generator of the machine learning system receives the first travel routes and generates first driving profiles for each of the first travel routes, travel routes and associated driving profiles determined during vehicle operation are stored in a second database, second travel routes and respective associated second driving profiles determined during vehicle operation are selected from the second database, a discriminator of the machine learning system receives pairs made up of one of the first travel routes with the respective associated first generated driving profile and pairs made up of second travel routes with the respective associated second driving profile determined during vehicle operation, as input variables.

Abstract: A computer-implemented method for training a machine learning system for generating driving profiles and/or driving routes of a vehicle including: a generator obtains first random vectors and generates first driving routes and associated first driving profiles related to the first random vectors, driving routes and respectively associated driving profiles recorded in driving mode are stored in a data base, second driving routes and respectively associated second driving profiles recorded in driving mode are selected from the database, a discriminator obtains first pairs made up of first generated driving routes and respectively associated first generated driving profiles and second pairs made up of second driving routes and respectively associated second driving profiles recorded in driving mode, the discriminator calculates outputs that characterize each pair, and a target function is optimized as a function of the outputs of the discriminator.

Abstract: A processing system having at least one processor may obtain a feature set from a camera frame of a client device, perform a feature reduction of the feature set to produce a reduced feature set, generate a compressed representation from the reduced feature set, compare the compressed representation of the reduced feature set to a plurality of compressed representations of known objects stored in one or more hash tables to identify an object in the camera frame, and provide an identification of the object to the client device.

Abstract: A system may assist with checking policy impact in a software-defined infrastructure environment. It may perform continuous learning of impact using emulations under varying conditions and may take a statistical and machine learning based analysis approach on the data obtained from emulations. The system's data analysis may enable it to discover and quantify the impact of policies on software-defined infrastructure objects in the same or different layers.

Abstract: Systems and methods are disclosed for parallelizing service function chains.

Abstract: A system may assist with checking policy impact in a software-defined infrastructure environment. The system's data analysis may enable it to discover and quantify the impact of policies on software-defined infrastructure objects in the same or different layers.

Abstract: The present disclosure relates to a cloud-based sensory data management technology. An apparatus for managing sensory data according to one embodiment may include a data collector for receiving user input data and collecting data sensed by a sensory device corresponding to the user input data among one or more sensory devices, a data synchronizer for synchronizing the collected data based on a time frame, and a data persistence part for mapping the synchronized data to a pre-stored data model.

Abstract: A processing system having at least one processor may obtain a feature set from a camera frame of a client device, perform a feature reduction of the feature set to produce a reduced feature set, generate a compressed representation from the reduced feature set, compare the compressed representation of the reduced feature set to a plurality of compressed representations of known objects stored in one or more hash tables to identify an object in the camera frame, and provide an identification of the object to the client device.

Abstract: Systems and methods are disclosed for parallelizing service function chains.

Abstract: Systems, computer-readable media, and methods are disclosed for parallel data processing for service function chains with network functions spanning multiple servers. An example system includes a first server hosting a first network function of a service function chain, a second server hosting a second network function of the service function chain, a mirror function deployed in a first switch to replicate a plurality of packets received by the system and to send respective copies of the plurality of packets to the first network function and to at least one of the second network function and a third network function of the service function chain, and a merge function deployed in a second switch to merge respective outputs of the first network function and the at least one of the second network function and the third network function.

Abstract: Disclosed is a user health status providing method in which a server provides a user health status, the method including: receiving user behavior data from a user device; extracting health data from the behavior data, and matching the health data to one or more health groups; generating first health indices associated with the health groups using healthcare models specified in advance for the health groups and the health data; generating a second health index by integrating the one or more first health indices, each of which is generated for one of the health groups; and determining the user health status on the basis of the second health index.

Abstract: A framework in a cloud network that may allow for debugging at multiple vantage points at different layers (e.g., layer 2, layer 3, etc.). The methods may provide tracer or measurement services that filter, capture, or forward flows that may include packets, calls, or protocols to look for particular signatures.

Abstract: The concepts and technologies disclosed herein are directed to parallelism for virtual network functions (“VNFs”) in service function chains (“SFCs”). According to one aspect, a packet processing system can receive instructions to process, in parallel, at least a portion of a plurality of data packets associated with an SFC including a plurality of VNFs. The system can create a copy of at least the portion of the data packets. The system can send the copy of at least the portion of the data packets to at least two VNFs. The at least two VNFs can process, in parallel, the copy of at least the portion of the data packets. The system can receive, from the at least two VNFs, processed packets including the copy of at least the portion of the data packets and processed, in parallel, by the at least two VNFs. The system can combine the processed packets.

Abstract: A low energy wireless communication beacon broadcasts an advertisement using a low energy wireless communication protocol. Information is communicated between the low energy wireless communication beacon and a server over a backhaul communication link using the low energy wireless communication protocol.

Abstract: Network function may be dissected and the common functions abstracted into inspection network function as the first hop, for example, of a service function chain. The inspection network function then inserts a value into the network service header (NSH) which may be used for the rest of the network functions of the service function chain.