Abstract: The present disclosure relates to an organic electroluminescent compound, a plurality of host materials, and an organic electroluminescent device comprising the same. By comprising the organic electroluminescent compound according to the present disclosure or by comprising a specific combination of compounds according to the present disclosure as a plurality of host materials, it is possible to produce an organic electroluminescent device having improved luminous efficiency, and/or lifetime properties compared to the conventional organic electroluminescent devices.

Abstract: An embodiment fuel cell including a high temperature polymer electrolyte membrane includes an electrolyte membrane including a phosphoric acid-doped polymer of intrinsic microporosity, a cathode disposed on a first surface of the electrolyte membrane, and an anode disposed on a second surface of the electrolyte membrane, the second surface opposite the first surface.

Abstract: An embodiment collision avoidance control method with an autonomous driving control system includes generating a grid map by storing vehicle information including position and velocity vectors of a vehicle and object information including position and velocity vectors of an object sensed around the vehicle in a grid cell corresponding to an area occupied by the vehicle and the object and determining, as a collision risk area, an area where a grid cell occupied by the vehicle for each reference time set based on the vehicle information overlaps a grid cell occupied by the object for each reference time predicted based on the object information, to control avoidance of the collision risk area.

Abstract: The present invention relates to a multi-component host material and an organic electroluminescent device comprising the same. By comprising a specific combination of the multi-component host compounds, the organic electroluminescent device according to the present invention can provide high luminous efficiency and excellent lifespan characteristics.

Abstract: Disclosed herein are a neural network model deployment method and apparatus for providing a deep learning service. The neural network model deployment method may include providing a specification wizard to a user, searching for and training a neural network based on a user requirement specification that is input through the specification wizard, generating a neural network template code based on the user requirement specification and the trained neural network, converting the trained neural network into a deployment neural network that is usable in a target device based on the user requirement specification, and deploying the deployment neural network to the target device.

Abstract: A self-healing alloy contains 5 to 11% by weight of molybdenum (Mo), iron (Fe) as a remainder, and unavoidable impurities. A method for manufacturing the self-healing alloy includes heat treating the alloy or preparing an alloy raw material powder and sintering, homogenizing, and cooling the alloy raw material powder.

Abstract: A wireless local area network power saving method and an access point are provided. The access point implements a sleep mode regardless of whether the access point connects to a station. Furthermore, the access point sets different access point wake-up time period depending on the situation whether the access point connects to the base station or not such that power saving effect is enhanced.

Abstract: A wireless local area network power saving method and an access point are provided. The access point implements a sleep mode regardless of whether the access point connects to a station. Furthermore, the access point sets different access point wake-up time period depending on the situation whether the access point connects to the base station or not such that power saving effect is enhanced.