Abstract: An energy efficiency improvement learning apparatus includes a processor configured to perform learning for vehicle control to minimize vehicle energy consumption required for vehicle driving under random conditions based on a reinforcement learning algorithm, and provide learned parameters of the reinforcement learning algorithm to a vehicle. The energy efficiency improvement learning apparatus also includes a storage medium configured to store data and algorithms, and the reinforcement learning algorithm executable by the processor.

Abstract: An embodiment vehicle driving control apparatus includes a processor configured to determine an output torque of a driving source by using a driver driving propensity for each driver of a plurality of drivers or a driving situation based on a learning algorithm and a memory configured to store algorithms and data to be driven by the processor.

Abstract: An embodiment server includes a processor configured to collect driving data based on a driver driving propensity or a driving situation from a plurality of vehicles and to change information for determining an output torque suitable for each of the vehicles by analyzing the driving data and a communication device configured to transmit the changed information for determining the output torque to the vehicles by communicating with the vehicles.

Abstract: An apparatus and a method for predicting a speed of a vehicle. The apparatus includes storage that stores past driving information of the vehicle. The apparatus also includes a controller that extracts feature information about a current state of the vehicle from the past driving information of the vehicle. The controller also generates a query corresponding to each target time point based on the feature information. The controller also determines forward information corresponding to each target time point by using each query. The controller also predicts the speed of the vehicle at each target time point based on the query corresponding to each target time point and the forward information corresponding to each target time point.

Abstract: Disclosed are an apparatus for distributing power of an electric vehicle and a method thereof capable of optimally improving the energy consumption efficiency of the electric vehicle by predicting a vehicle speed for a predetermined time using a learned vehicle speed prediction model, determining wheel power based on the vehicle speed, and distributing the wheel power to a front wheel drive motor and a rear wheel drive motor. The apparatus includes a storage that stores a vehicle speed prediction model in which learning is completed, and a controller that predicts a vehicle speed for a preset time using the vehicle speed prediction model, determines wheel power based on the vehicle speed, and distributes the wheel power to a front wheel drive motor and a rear wheel drive motor.

Abstract: A system for modeling energy consumption efficiency of an electric vehicle and a method thereof are disclosed. The system includes a communication device that communicates with a plurality of electric vehicles and includes a controller that receives learning data from the plurality of electric vehicles, learns an energy consumption efficiency model based on the received learning data, and transmits the energy consumption efficiency model in which the learning is completed to the plurality of electric vehicles.

Abstract: Disclosed are a system for modeling energy consumption efficiency of an electric vehicle and a method thereof. The system includes: a communication device that communicates with a plurality of electric vehicles, and a controller that receives a parameter set of an energy consumption efficiency model from the plurality of electric vehicles. The controller determines an average of received parameter sets as an optimal parameter set, and transmits the determined optimal parameter set to the plurality of electric vehicles.

Abstract: Disclosed are a multi-agent-based reinforcement learning system and method therefor. The multi-agent-based reinforcement learning system includes: a slave agent configured to: store a data set collected in each state of a first environment in a first buffer, store a data set received from a master agent in the first buffer, and learn a Q-function based on the data set stored in the first buffer; and the master agent configured to store a data set collected in each state of a second environment in a second buffer; transmit the data set to the slave agent; update a Q-function matched with the slave agent among a plurality of Q-functions; and perform reinforcement learning based on the data set stored in the second buffer.

Abstract: A system for controlling a vehicle battery includes a vehicle which includes a motor that provides a driving force or generates power through regenerative braking and a battery that provides power to the motor and calculates a battery usage according to use of the battery, and a portable terminal which obtains location information of a user, generates a battery charge/discharge guide based on the location information of the user and the battery usage received from the vehicle, and transmits the battery charge/discharge guide to the vehicle, thus minimizing anxiety and inconvenience to users when charging and discharging an electric vehicle, and also minimizing the maintenance cost of the electric vehicle.

Abstract: A semiconductor package includes a substrate having a silicon crystal structure, and at least one semiconductor chip provided on the substrate and having an upper surface, a lower surface, and a plurality of side surfaces, wherein the plurality of side surfaces are different from cleavage planes of the substrate.

Abstract: The present invention relates to a phthalocyanine compound represented by Formula 1, a dye including the same, a photosensitive resin composition including the same, and a color filter prepared using the same. In Formula 1, Z1 to Z16 and M1 are the same as defined in the specification, wherein 1 to 8 of Z1 to Z16 are substituted with one of Formulae 2 to 5, as also defined in the specification. The phthalocyanine compound can have high luminance, high contrast, and excellent heat resistance.

Abstract: Disclosed are a photosensitive resin composition including (A) a binder resin represented by the following Chemical Formula 1; (B) a reactive unsaturated compound; (C) an initiator; (D) a pigment; and (E) a solvent, and a light blocking layer using the same, wherein, in the following Chemical Formula 1, each substituent is the same as defined in the detailed description.

Abstract: Disclosed are a photosensitive resin composition for a color filter that includes (A) a squaraine dye including at least one selected from compounds represented by the following Chemical Formulae 1 and 2, (B) an alkali soluble resin, (C) a photopolymerizable monomer, (D) a photopolymerization initiator, and (E) a solvent, and a color filter using the same.

Abstract: A photosensitive resin composition includes (A) a cardo-based resin including a repeating unit represented by the following Chemical Formula 1; (B) a reactive unsaturated compound; (C) a pigment; (D) an initiator; and (E) a solvent. A light blocking layer can be made using the same. In the above Chemical Formula 1, each substituent is the same as defined in the detailed description.

Abstract: A photosensitive resin composition includes (A) a cardo-based resin including a repeating unit represented by the following Chemical Formula 1; (B) a reactive unsaturated compound; (C) a pigment; (D) an initiator; and (E) a solvent. A light blocking layer can be made using the same. In the above Chemical Formula 1, each substituent is the same as defined in the detailed description.

Abstract: The present invention relates to a phthalocyanine compound represented by Formula 1, a dye including the same, a photosensitive resin composition including the same, and a color filter prepared using the same. In Formula 1, 1 to 8 of Z1 to Z16 are substituted with one of Formulae 2 to 5, as defined in the specification. The phthalocyanine compound can have high luminance, high contrast, and excellent heat resistance. wherein Z1 to Z16 and M1 are the same as in the detailed description of the invention.

Abstract: Disclosed are a photosensitive resin composition including (A) a binder resin represented by the following Chemical Formula 1; (B) a reactive unsaturated compound; (C) an initiator; (D) a pigment; and (E) a solvent, and a light blocking layer using the same, wherein, in the following Chemical Formula 1, each substituent is the same as defined in the detailed description.

Abstract: Disclosed are a photosensitive resin composition for a color filter and a color filter using the same. The photosensitive resin composition for a color filter includes (A) a dye represented by the following Chemical Formula 1, (B) an alkali soluble resin, (C) a photopolymerizable monomer, (D) a photopolymerization initiator, and (E) a solvent.

Abstract: Disclosed are a photosensitive resin composition for a color filter that includes (A) a squaraine dye including at least one selected from compounds represented by the following Chemical Formulae 1 and 2, (B) an alkali soluble resin, (C) a photopolymerizable monomer, (D) a photopolymerization initiator, and (E) a solvent, and a color filter using the same.

Abstract: Disclosed are a photosensitive resin composition for a color filter and a color filter using the same. The photosensitive resin composition for a color filter includes (A) a dye represented by the following Chemical Formula 1, (B) an alkali soluble resin, (C) a photopolymerizable monomer, (D) a photopolymerization initiator, and (E) a solvent.