Abstract: A semiconductor device is provided. The semiconductor device includes a first stacked structure including a plurality of first insulating patterns and a plurality of first semiconductor patterns alternately stacked on a substrate, the first stacked structure extending in a first direction parallel to an upper surface of the substrate, a first conductive pattern on one side surface of the first stacked structure, the first conductive pattern extending in a second direction crossing the upper surface of the substrate, and a first ferroelectric layer between the first stacked structure and the first conductive pattern, the first ferroelectric layer extending in the second direction, wherein each of the first semiconductor patterns includes a first impurity region, a first channel region and a second impurity region which are sequentially arranged along the first direction.

Abstract: The present invention relates to a network packet relay device including a time synchronization module for synchronizing a time of a packet with a timestamp value of a network device, and a packet timestamp assigning method thereof, wherein a timestamp having accuracy of a UTC-format nanosecond level can be assigned to the packet at a hardware level by correcting overflow of a register of an elapsed-time counter of a processor of a switch even when the overflow occurs.

Abstract: Disclosed are a method and apparatus for reusing wastewater. The method for reusing wastewater disclosed herein includes: generating a mixed wastewater by mixing multiple types of wastewater (S20); performing a first purification by passing the mixed wastewater through a flocculation-sedimentation unit (S40); performing a second purification by passing an effluent of the flocculation-sedimentation unit through a membrane bioreactor (MBR) (S60); performing a third purification by passing an effluent of the MBR through a reverse-osmosis membrane unit (S80); and reusing an effluent of the reverse-osmosis membrane unit as cooling water or industrial water (S100).

Abstract: The present disclosure discloses beamforming methods and apparatuses. According to an exemplary embodiment of the present disclosure, an antenna message generation deep neural network (DNN) and a beam characteristic generation DNN of a bipartite graph neural network (BGNN) having terminals as vertices on one side and APs as vertices on another side may be constructed.

Abstract: Discussed is a bolting device that effectively protects an internal configuration of a battery pack and increases manufacturing efficiency during a bolting operation. The bolting device for manufacturing a battery pack includes an electric screwdriver provided with a rotation motor; a driver bit connected to the rotation motor to enable a rotation movement and configured to rotate a bolt; a bit guide member provided with a hollow tube such that the driver bit is inserted into an inside of the hollow tube to be movable; and a guide jig provided with a main body configured to be mounted on an upper portion of a pack housing, the main body having a plate shape and having at least one through hole, and a fixing member inserted into the through hole and mounted therein, and having an insertion hole.

Abstract: Disclosed is a beamforming method using a deep neural network. The deep neural network may include an input layer, L hidden layers, and an output layer, and the beamforming method may include: obtaining channel information h between a base station and K terminals and a transmit power limit value P of the base station, and inputting h and P into the input layer; and performing beamforming on signals to be transmitted to the K terminals using beamforming vectors derived using the output layer and at least one activation function, wherein the base station transmits the signals to the K terminals using M transmit antennas. Here, the output layer may be configured in a direct beamforming learning (DBL) scheme, a feature learning (FL) scheme, or a simplified feature learning (SFL) scheme.

Abstract: Provided is a method of preparing a sparsely pillared organic-inorganic hybrid compound. The method of preparing an organic-inorganic hybrid compound includes: preparing a compound having a gibbsite structure by a method other than a hydrothermal synthesis method, using a trivalent metal cation source, an alkali imparting agent, and a first solvent (S10); and preparing an organic-inorganic hybrid compound by a method other than a hydrothermal synthesis method, using the compound of the gibbsite structure, a divalent metal cation source, dicarboxylic acid, and a second solvent (S20).

Abstract: A sparsely pillared organic-inorganic hybrid compound is provided. The sparsely pillared organic-inorganic hybrid compound includes: two inorganic material layers, each extending in one direction and facing each other; and an organic material layer disposed between the two inorganic material layers, wherein each of the inorganic material layers has a gibbsite structure in which a divalent metal cation is doped to an octahedral site, and the organic material layer includes a plurality of pillar portions, each of which is chemically bound to each of the two inorganic material layers such that the two inorganic material layers are connected to each other.

Abstract: Disclosed is a beamforming method using a deep neural network. The deep neural network may include an input layer, L hidden layers, and an output layer, and the beamforming method may include: obtaining channel information h between a base station and K terminals and a transmit power limit value P of the base station, and inputting h and P into the input layer; and performing beamforming on signals to be transmitted to the K terminals using beamforming vectors derived using the output layer and at least one activation function, wherein the base station transmits the signals to the K terminals using M transmit antennas. Here, the output layer may be configured in a direct beamforming learning (DBL) scheme, a feature learning (FL) scheme, or a simplified feature learning (SFL) scheme.

Abstract: A sparsely pillared organic-inorganic hybrid compound is provided. The sparsely pillared organic-inorganic hybrid compound includes: two inorganic material layers, each extending in one direction and facing each other; and an organic material layer disposed between the two inorganic material layers, wherein each of the inorganic material layers has a gibbsite structure in which a divalent metal cation is doped to an octahedral site, and the organic material layer includes a plurality of pillar portions, each of which is chemically bound to each of the two inorganic material layers such that the two inorganic material layers are connected to each other.

Abstract: Provided is a method of preparing a sparsely pillared organic-inorganic hybrid compound. The method of preparing an organic-inorganic hybrid compound includes: preparing a compound having a gibbsite structure by a method other than a hydrothermal synthesis method, using a trivalent metal cation source, an alkali imparting agent, and a first solvent (S10); and preparing an organic-inorganic hybrid compound by a method other than a hydrothermal synthesis method, using the compound of the gibbsite structure, a divalent metal cation source, dicarboxylic acid, and a second solvent (S20).

Abstract: A method for estimating location of an electronic device is provided. The method includes collecting from a transmitter, transmitter information including time information that is proportional to distance between the electronic device and the transmitter; obtaining location information of the electronic device at a point where the transmitter information is collected; and transmitting the transmitter information and the location information to a server to be used to estimate the location of the transmitter.

Abstract: A method and apparatus for hybrid multi-layer transmission includes receiving a multi-layer signal from a source device, wherein the multi-layer signal includes a plurality of sublayers. A quantity of the plurality of sublayers is decoded and partial information relating to the decoded sublayers is transmitted to a destination device.

Abstract: Signals transmitted on the backhaul links of a cloud radio access network may be compressed using joint compression encoding. Joint compression encoding may be performed using a successive estimation-compression architecture. Joint compression encoding may include designing preceding matrices that may be used with signal compression. Joint compression encoding may be applied to signals transmitted on the downlink of the cloud radio access network. One or more baseband signals to be delivered over the backhaul links may be jointly compressed using multivariate compression. Multivariate compression may be implemented using successive compression based on a sequence of minimum mean squared error (MMSE) estimations and per BS compression.

Abstract: A method for estimating location of an electronic device is provided. The method includes collecting from a transmitter, transmitter information including time information that is proportional to distance between the electronic device and the transmitter; obtaining location information of the electronic device at a point where the transmitter information is collected; and transmitting the transmitter information and the location information to a server to be used to estimate the location of the transmitter.

Abstract: Signals transmitted on the backhaul links of a cloud radio access network may be compressed using joint compression encoding. Joint compression encoding may be performed using a successive estimation-compression architecture. Joint compression encoding may include designing preceding matrices that may be used with signal compression. Joint compression encoding may be applied to signals transmitted on the downlink of the cloud radio access network. One or more baseband signals to be delivered over the backhaul links may be jointly compressed using multivariate compression. Multivariate compression may be implemented using successive compression based on a sequence of minimum mean squared error (MMSE) estimations and per BS compression.

Abstract: A method and apparatus for hybrid multi-layer transmission includes receiving a multi-layer signal from a source device, wherein the multi-layer signal includes a plurality of sublayers. A quantity of the plurality of sublayers is decoded and partial information relating to the decoded sublayers is transmitted to a destination device.

Abstract: An achievable sum data rate with respect to each of available candidate transmission/reception modes may be calculated to select a transmission/reception mode of transmission/reception pairs repeatedly using radio resources. A transmission/reception mode to be applied may be selected from the candidate transmission/reception modes based on the calculated sum data rate. Information associated with the selected transmission/reception mode may be shared by the transmission/reception pairs.

Abstract: Provided are a beamforming vector determining method and an apparatus which may compute a normalization factor of each of a plurality of terminals by normalizing a predetermined reference value using noise power occurring in each of the terminals. A leakage channel of each of the terminals may be estimated, and a beamforming vector for each of the terminals may be determined with respect to a plurality of base stations based on the leakage channel of each of the terminals.

Abstract: Provided is an apparatus and method for transmitting a channel sounding signal from a user terminal in a multiple antenna system. In the method, a channel for each of a plurality of antennas is estimated. The receiving signal power of each of the antennas is calculated using the channel information obtained through the channel estimation. The antenna with the highest RX signal power is selected. Therefore, it is possible to enhance the signal reception performance of the user terminal.