Abstract: A method of a communication node may comprise: transmitting required network configurations for applying each of artificial neural network models to a network node; and transmitting a status report of the first model including a model identifier field and a model information field for each of the artificial neural network models to the network node to activate at least one artificial neural network model among the artificial neural network models, wherein each of the required network configurations includes a configuration identifier and network configuration information.

Abstract: A method of a terminal may comprise: receiving a channel state information (CSI) request message from a base station, the CSI request message including first indication information indicating one of quantization configuration information of a first artificial intelligence (AI) model configured in the terminal to encode and transmit CSI; quantizing generated CSI feedback information based on the first indication information; and transmitting a CSI report message including the quantized CSI feedback information to the base station.

Abstract: A method of a terminal may comprise: transmitting channel state prediction-related information to a base station; receiving a channel prediction request signal for a first time instance from the base station; receiving auxiliary reference signal(s) (RS(s)) and a first RS from the base station based on the channel state prediction-related information; and transmitting channel prediction information for the first time instance to the base station, wherein the channel state prediction-related information includes information indicating that channel state information prediction of the terminal is possible, and the channel prediction request signal includes configuration information of the auxiliary RS(s) and configuration information of the first RS.

Abstract: A method of a terminal may comprise: receiving, from a CU of a base station, configuration information of one or more candidate cells and configuration information for measurement; performing L1 measurement on the candidate cells based on the configuration information for measurement; acquiring uplink synchronization for the candidate cells by performing an uplink synchronization management procedure for the candidate cells based on the configuration information of the candidate cells; reporting a result of the L1 measurement to a DU of the base station; receiving, from the DU of the base station, information on a target cell, being the target cell to switch among the candidate cells, based on the result of the L1 measurement; and applying the uplink synchronization acquired through the uplink synchronization management procedure to the target cell.

Abstract: A liquefied gas storage tank includes a corner block disposed on a corner portion, wherein the corner block includes a lower block, an upper block and an upper connecting block, the upper block includes a first inner fixing unit and a second inner fixing unit respectively provided inside a first surface and a second surface, bonded and connected to a secondary barrier, and each having a structure in which a primary inner plywood, a primary corner insulating material, and a primary outer plywood are stacked, and an inner bent portion installed at a corner spatial portion between the first inner fixing unit and the second inner fixing unit, and both side surfaces of the inner bent portion that are perpendicular to the secondary barrier each have a height reduced from a total height of each of the first and second inner fixing units.

Abstract: A method of monitoring and managing performance of an artificial neural network model for an air interface may comprise: receiving, by a network (NW) including a communication node performing a function of monitoring and managing performance of an artificial neural network model, a performance metric of the artificial neural network model from a user equipment (UE); and controlling, by the communication node, activation or deactivation of the artificial neural network model according to the performance metric, wherein the artificial neural network model is activated to improve a main performance metric of a mobile communication system including the communication node and the UE connected through an air interface.

Abstract: A method of a terminal may comprise: receiving a first message including state information of a base station from the base station; identifying preliminary inactive state information included in the first message when the state information of the base station indicates a preliminary inactive state; and performing a cell selection based on the preliminary inactive state information.

Abstract: A method of a terminal may comprise: receiving a reference signal from a base station; generating channel information based on the reference signal; generating wavelet-transformed channel information by applying wavelet transform to the channel information; generating compressed channel information by compressing the wavelet-transformed channel information; and transmitting the compressed channel information to the base station.

Abstract: The liquefied gas storage tank includes a primary barrier, a primary insulation wall, a secondary barrier, and a secondary insulation wall. In a state where unit elements are arranged adjacent to each other, each of the unit elements being formed by stacking the secondary insulation wall, the secondary barrier, and a fixed insulation wall which is a part of the primary insulation wall, the primary insulation wall may comprise: a connection insulation wall provided in the space between the adjacent fixed insulation walls; first slits formed between the fixed insulation walls and the connection insulation wall when the connection insulation wall is inserted and installed between the adjacent fixed insulation walls; a plurality of second slits formed in a lengthwise direction and a widthwise direction of the fixed insulation walls; and a first insulating filler material for filling the first slits.

Abstract: A battery pack according to the present disclosure includes a battery cell including at least one unit cell, a first connector which is electrically connected to the battery cell, and a second connector which is electrically connected to the battery cell and the first connector, the second connector having a corresponding shape to the first connector to be coupled with the first connector. According to the present disclosure, a plurality of battery packs may be concurrently charged, and when needed, a battery capacity may be increased by easily connecting a plurality of battery packs, thereby ensuring a sufficient usage time of an electronic appliance.

Abstract: A battery pack according to the present disclosure includes a battery cell including at least one unit cell, a first connector which is electrically connected to the battery cell, and a second connector which is electrically connected to the battery cell and the first connector, the second connector having a corresponding shape to the first connector to be coupled with the first connector. According to the present disclosure, a plurality of battery packs may be concurrently charged, and when needed, a battery capacity may be increased by easily connecting a plurality of battery packs, thereby ensuring a sufficient usage time of an electronic appliance.