Abstract: A method by an electronic device is provided. The method includes identifying, by the electronic device, brightness information corresponding to each of a plurality of Internet of Things (IoT) light devices, categorizing, by the electronic device, the plurality of IoT light devices into at least one category based on the brightness information of each IoT light device of the plurality of IoT light devices and location information of each IoT light device of the plurality of IoT light devices, receiving, by the electronic device, a user input selecting a lighting effect from a plurality of lighting effects and an effect level, and updating, by the electronic device, information on the at least one category of the plurality of IoT light devices based on the lighting effect, the effect level and the brightness information.

Abstract: A storage device may include storage for data. A host interface may receive a write request from a host at the storage device. The write request may include a data chunk and a data identifier (ID). A class ID determiner circuitry may determine a class ID for the data chunk. A mapping table may map the data ID to the class ID.

Abstract: System, methods, and other embodiments described herein relate to improving latency when establishing peer-to-peer connections between devices. In one embodiment, a method includes, responsive to determining that a connection is to be established with at least one remote vehicle by a subject vehicle, acquiring parameters, from a remote server, that define characteristics of the connection. The method includes performing device discovery and service discovery simultaneously by embedding information about available services within a communication for device discovery. The method includes establishing the connection between the subject vehicle and the at least one remote vehicle according to the parameters.

Abstract: Systems and methods for finding nearest neighbors. In some embodiments, the system includes a processing circuit. The processing circuit may be configured to perform a method, the method including: selecting, based on a first query vector, a selected method, the selected method being a nearest neighbor selection method; and performing the selected method to select a first nearest neighbor from a data set, based on the first query vector.

Abstract: System, methods, and other embodiments described herein relate to improving latency when establishing peer-to-peer connections between devices. In one embodiment, a method includes, responsive to determining that a connection is to be established with at least one remote vehicle by a subject vehicle, acquiring parameters, from a remote server, that define characteristics of the connection. The method includes performing device discovery and service discovery simultaneously by embedding information about available services within a communication for device discovery. The method includes establishing the connection between the subject vehicle and the at least one remote vehicle according to the parameters.

Abstract: According to one general aspect, an apparatus may include a host interface circuit configured to receive a memory access request, wherein the memory access request is associated with a data set. The apparatus may include a non-volatile memory storage circuit configured to create and store a transformed data set. The apparatus may include a translation circuit comprising at least one machine learning circuit. The translation circuit may be configured to: in response to a write memory access, convert an original version of the data set to the transformed data set, and in response to a read memory access, convert the transformed data set to a reconstructed data set.

Abstract: A programmable data storage device configured to process images via an embedded processor is disclosed. The processor identifies luminance and chrominance data of a received image, and retrieves a first machine learning model stored in the storage device. The first model is applied for making a first prediction about the image based on luminance data, and a first determination is made in regards to a criterion. In response to making the first determination, a first label associated with the first prediction is returned. A second determination is also made in regards to the criterion. In response to making the second determination, a second machine learning model stored in the storage device is retrieved. The second machine learning model is applied for making a second prediction about the image based on the color data associated with the image, and a second label associated with the second prediction is determined.

Abstract: A method for processing a priority for transmission by a user equipment (UE) in a device-to-device (D2D) communication system are provided. The method includes receiving a priority for a packet to be transmitted from a higher layer, mapping the packet to a logical channel based on the priority and a destination to which the packet is to be transmitted, receiving a grant for the transmission of the packet from a base station, and transmitting the packet.

Abstract: A storage device is disclosed. The storage device may include storage for data. A host interface may receive a write request from a host at the storage device. The write request may include a data chunk and a data identifier (ID). A class ID determiner circuitry may determine a class ID for the data chunk. A mapping table may map the data ID to the class ID.

Abstract: A programmable data storage device configured to process images via an embedded processor is disclosed. The processor identifies luminance and chrominance data of a received image, and retrieves a first machine learning model stored in the storage device. The first model is applied for making a first prediction about the image based on luminance data, and a first determination is made in regards to a criterion. In response to making the first determination, a first label associated with the first prediction is returned. A second determination is also made in regards to the criterion. In response to making the second determination, a second machine learning model stored in the storage device is retrieved. The second machine learning model is applied for making a second prediction about the image based on the color data associated with the image, and a second label associated with the second prediction is determined.

Abstract: A method for processing a priority for transmission by a user equipment (UE) in a device-to-device (D2D) communication system are provided. The method includes receiving a priority for a packet to be transmitted from a higher layer, mapping the packet to a logical channel based on the priority and a destination to which the packet is to be transmitted, receiving a grant for the transmission of the packet from a base station, and transmitting the packet.

Abstract: The present disclosure relates to a pre-5th-generation (5G) or 5G communication system to be provided for supporting higher data rates beyond 4th-generation (4G) communication system such as a long term evolution (LTE). The various embodiments of the present disclosure disclose a method for selecting a relay in a source user equipment (UE) in a device-to-device (D2D) communication system. The method includes receiving a relay discovery message from one or more user equipment-network (UE-NW) relays; measuring a radio link quality of a wireless link between the source UE and a UE-NW relay for each of the one or more UE-NW relays discovered by the source UE; and selecting a UE-NW relay using information included in the relay discovery message, the radio link quality of the wireless link between the source UE and the UE-NW relay and a radio link quality of the wireless link between the UE-NW relay and a base station (BS).

Abstract: According to one general aspect, an apparatus may include a host interface circuit configured to receive a memory access request, wherein the memory access request is associated with a data set. The apparatus may include a non-volatile memory storage circuit configured to create and store a transformed data set. The apparatus may include a translation circuit comprising at least one machine learning circuit. The translation circuit may be configured to: in response to a write memory access, convert an original version of the data set to the transformed data set, and in response to a read memory access, convert the transformed data set to a reconstructed data set.

Abstract: A resource allocation method and device capable of preventing resource conflict in a wireless communication system supporting device-to-device (D2D) communication is provided. The resource allocation method includes transmitting to a base station, by a relay user equipment (UE) located within a coverage of the base station, a message comprising indication information related to the relay UE, and performing, by the relay UE, D2D communication with a remote UE located out of the coverage by using a first resource, the first resource being allocated by the base station based on the indication information.

Abstract: The present disclosure relates to a pre-5th-generation (5G) or 5G communication system to be provided for supporting higher data rates beyond 4th-generation (4G) communication system such as a long term evolution (LTE). The various embodiments of the present disclosure disclose a method for selecting a relay in a source user equipment (UE) in a device-to-device (D2D) communication system. The method includes receiving a relay discovery message from one or more user equipment-network (UE-NW) relays; measuring a radio link quality of a wireless link between the source UE and a UE-NW relay for each of the one or more UE-NW relays discovered by the source UE; and selecting a UE-NW relay using information included in the relay discovery message, the radio link quality of the wireless link between the source UE and the UE-NW relay and a radio link quality of the wireless link between the UE-NW relay and a base station (BS).

Abstract: A method for processing a priority for transmission by a user equipment (UE) in a device-to-device (D2D) communication system are provided. The method includes receiving a priority for a packet to be transmitted from a higher layer, mapping the packet to a logical channel based on the priority and a destination to which the packet is to be transmitted, receiving a grant for the transmission of the packet from a base station, and transmitting the packet.

Abstract: A resource allocation method and device capable of preventing resource conflict in a wireless communication system supporting device-to-device (D2D) communication is provided. The resource allocation method includes transmitting to a base station, by a relay user equipment (UE) located within a coverage of the base station, a message comprising indication information related to the relay UE, and performing, by the relay UE, D2D communication with a remote UE located out of the coverage by using a first resource, the first resource being allocated by the base station based on the indication information.