Abstract: An apparatus for diagnosing a battery located in a battery system including one or more batteries, the apparatus may include: at least one processor; and a memory configured to store instructions executed by the at least one processor to collect state of charge information of the battery when the battery system is in a standby mode; calculate an amount of power change of the battery during a maintaining period of the standby mode based on the collected state of charge information and pre-stored initial state of charge information; and compare the calculated amount of power change with an expected amount of discharge power of the battery and to determine whether a leakage current occurs in the battery system based on the comparison.

Abstract: The present exemplary embodiments provide a reinforcement learning based signal detection apparatus and method for vehicular MIMO communication which flexibly adjust the performance and the complexity by applying the reinforcement learning during the MIMO signal detecting process, improving a trade-off relationship between the performance and the complexity of the MIMO signal detection, and controlling the number of episodes of the reinforcement learning in accordance with the speed of the vehicle.

Abstract: An apparatus for diagnosing a battery located in a battery system including one or more batteries, the apparatus may include: at least one processor; and a memory configured to store instructions executed by the at least one processor to collect state of charge information of the battery when the battery system is in a standby mode; calculate an amount of power change of the battery during a maintaining period of the standby mode based on the collected state of charge information and pre-stored initial state of charge information; and compare the calculated amount of power change with an expected amount of discharge power of the battery and to determine whether a leakage current occurs in the battery system based on the comparison.

Abstract: The present exemplary embodiments provide a reinforcement learning based signal detection apparatus and method for vehicular MIMO communication which flexibly adjust the performance and the complexity by applying the reinforcement learning during the MIMO signal detecting process, improving a trade-off relationship between the performance and the complexity of the MIMO signal detection, and controlling the number of episodes of the reinforcement learning in accordance with the speed of the vehicle.

Abstract: A battery data management apparatus according to an example embodiment disclosed herein includes a plurality of functional modules configured to perform a defined function based on a preset algorithm, a first broker configured to relay linked operations among the plurality of functional modules based on battery data of at least any one functional module among the plurality of functional modules, and a first controller configured to control operations of the plurality of functional modules and the first broker.

Abstract: A method of a first communication node may comprise: transmitting, to a second communication node, an initiation signal indicating to initiate a collection procedure of training data for a neural network; transmitting, to the second communication node, an information signal including network parameters of the first communication node; receiving, from the second communication node, the training data in response to the information signal; training the neural network using the training data; determining optimal network parameters using the trained neural network; and performing communication with the second communication node using the optimal network parameters.

Abstract: According to the present exemplary embodiments, provided are a traffic signal system and a vehicle which estimate a position and a moving direction of a vehicle in accordance with a driving status of the vehicle at an intersection and improve a positioning accuracy based on wired or wireless communication.

Abstract: Disclosed is a system and method for estimating a residual capacity of an Energy Storage System (ESS). The system includes an ESS controller operably coupled to the ESS including a plurality of battery racks and rack controllers. The ESS controller acquires a state of charge (SOC) of the battery racks from the rack controllers, determines an actual usage pattern of the ESS indicating a change in SOC of the ESS for each reference time period, determines a first ESS residual capacity at End of Life (EOL) by applying an average of the actual usage patterns over a whole period of an EOL lifespan, and records a first deviation between the first ESS residual capacity and a reference residual capacity.

Abstract: Disclosed is a power control apparatus, which may effectively prevent a specific battery rack from being damaged due to power imbalance between battery racks in a battery bank including a plurality of battery racks. The battery bank power control apparatus controls a power of a battery bank having a plurality of battery racks, and includes a power adjusting unit configured to adjust a magnitude of a bank power amount input to or output from all of the plurality of battery racks based on a preset bank power limit; a power measuring unit configured to measure a rack power amount for each of the plurality of battery racks; and a bank control unit configured to set the bank power limit based on the rack power measurement value of each battery rack measured by the power measuring unit.

Abstract: According to the exemplary embodiment of the present disclosure, the method and the device for adapting a link of a V2X communication system acquires an appropriate parameter value to efficiently perform the link adaptation in the V2X communication system, thereby improving an average data transfer rate, determines an MCS level based on the state value (effective SNR) acquired in consideration of the device movement speed to build a V2X communication system which adaptively operates according to the state of the device.

Abstract: A wireless power transmission system includes a receiver position identifier unit configured to determine the positions of receiver apparatuses; a signal transmitter unit comprising antennas arrayed in a pre-designated pattern and configured to radiate wireless power signals by forming a beam in a pattern corresponding to signals supplied respectively to the antennas; and a beamforming unit configured to improve a wireless power transmission efficiency by temporarily setting a frequency vector, which is for designating frequencies of the signals supplied to the antennas, and a beamforming vector, which is for designating phases and gains of the signals, based on the positions of the receiver apparatuses and alternatingly iteratively estimating the other vector to enhance power transmission efficiency such that a multi-lobe beam pattern radiated simultaneously in the directions of the receiver apparatuses is formed in the antennas.

Abstract: According to the present exemplary embodiments, provided are a traffic signal system and a vehicle which estimate a position and a moving direction of a vehicle in accordance with a driving status of the vehicle at an intersection and improve a positioning accuracy based on wired or wireless communication.

Abstract: Provided are a method and apparatus for transmitting and receiving channel information in a wireless communication system. The method for transmitting and receiving channel information in a wireless communication system includes: receiving information about a channel information providing method from a base station; receiving, from the base station, a reference signal for measuring a channel status between the base station and the terminal; determining channel information for a plurality of services, based on the information about the channel information providing method and the reference signal; and transmitting, to the base station, the channel information for the plurality of services.

Abstract: According to the present exemplary embodiments, provided are a traffic signal system and a vehicle which estimate a position and a moving direction of a vehicle in accordance with a driving status of the vehicle at an intersection and improve a positioning accuracy based on wired or wireless communication.

Abstract: According to the present exemplary embodiments, provided are a traffic signal system and a vehicle which estimate a position and a moving direction of a vehicle in accordance with a driving status of the vehicle at an intersection and improve a positioning accuracy based on wired or wireless communication.

Abstract: The present exemplary embodiments provide a reinforcement learning based signal detection apparatus and method for vehicular MIMO communication which flexibly adjust the performance and the complexity by applying the reinforcement learning during the MIMO signal detecting process, improving a trade-off relationship between the performance and the complexity of the MIMO signal detection, and controlling the number of episodes of the reinforcement learning in accordance with the speed of the vehicle.

Abstract: A wireless power transmission system includes a receiver position identifier unit configured to determine the positions of receiver apparatuses; a signal transmitter unit comprising antennas arrayed in a pre-designated pattern and configured to radiate wireless power signals by forming a beam in a pattern corresponding to signals supplied respectively to the antennas; and a beamforming unit configured to improve a wireless power transmission efficiency by temporarily setting a frequency vector, which is for designating frequencies of the signals supplied to the antennas, and a beamforming vector, which is for designating phases and gains of the signals, based on the positions of the receiver apparatuses and alternatingly iteratively estimating the other vector to enhance power transmission efficiency such that a multi-lobe beam pattern radiated simultaneously in the directions of the receiver apparatuses is formed in the antennas.

Abstract: A method of manufacturing a zirconium alloy for a nuclear fuel cladding tube includes melting a mixture of 0.5 wt % of Nb, 0.4 wt % of Mo, 0.1 to 0.15 wt % of Cu, 0.15 to 0.2 wt % of Fe, and a balance of zirconium to prepare a melted ingot; heat treating the melted ingot at 1,000 to 1,050° C. for 30 to 40 min. followed by quenching in water to prepare a heat-treated ingot; preheating the heat-treated ingot at 630 to 650° C. for 20 to 30 min. to prepare a preheated ingot followed by hot rolling the preheated ingot at a reduction ratio of 60 to 65% to provide a hot-rolled material; thrice performing vacuum annealing followed by cold-rolling; and vacuum annealing a third cold-rolled material in a final vacuum annealing at 510 to 520° C. for 7 to 9 hrs. to provide the zirconium alloy as a cold-rolled material.

Abstract: Provided are a method and apparatus for transmitting and receiving channel information in a wireless communication system. The method for transmitting and receiving channel information in a wireless communication system includes: receiving information about a channel information providing method from a base station; receiving, from the base station, a reference signal for measuring a channel status between the base station and the terminal; determining channel information for a plurality of services, based on the information about the channel information providing method and the reference signal; and transmitting, to the base station, the channel information for the plurality of services.

Abstract: The present invention relates to a recrystallization rate measurement method of zirconium alloy cladding of a nuclear fuel rod, the method including: step 1 of irradiating SEM electron beams at a given scanning interval onto a first specimen to a third specimen which were electrolytically polished and obtaining electron backscattered signals therefrom by an EBSD camera; step 2 of converting electron backscattered signals obtained in step 1 into pattern quality values, respectively, and generating the pattern quality values as frequencies by a specified interval; step 3 of obtaining pattern quality frequencies (B+D) which are a portion of a whole frequency distribution of the second specimen, and pattern quality frequencies (D+E) which are a portion of a whole frequency distribution of the first specimen; and step 4 of obtaining the recrystallization rate of the second specimen with an equation of X ? = ( B + D ) ( D + E ) × 100 , % .