Abstract: An all-solid-state battery for an ion-conducting binder evaluation system for a secondary battery may comprise: an electrode manufactured with an electrode composition, which includes electrode active materials and a binder, so that ion transport in the electrode is dependent on a mechanism of ion diffusion between the electrode active materials by excluding an electrolyte component from the electrode; a counter electrode disposed to face the electrode; and a solid electrolyte layer disposed between the electrode and the counter electrode, wherein a pore density of the electrode, which is an electrolyte-free electrode, is less than or equal to 15% of an electrode bulk density.

Abstract: Provided are an artificial intelligence (AI) learning method and system and an answer relay method and system using an AI. According to an AI learning method, an AI may transmit a question to users through a messaging service and may acquire learning data for the AI through reactions of the user to the transmitted question.

Abstract: Provided are an artificial intelligence (AI) learning method and system and an answer relay method and system using an AI. According to an AI learning method, an AI may transmit a question to users through a messaging service and may acquire learning data for the AI through reactions of the user to the transmitted question.

Abstract: Provided is a method for generating a one class model based on a data frequency. The method for generating a one class model based on a data frequency includes: generating, by a machine learning apparatus, a plurality of spatial coordinates by arranging a plurality of learning data in corresponding coordinates in a feature space; classifying, by the machine learning apparatus, the plurality of spatial coordinates into a plurality of internal coordinates PI and a plurality of external coordinates PO based on a frequency of the learning data arranged in the respective spatial coordinates which belong to the plurality of spatial coordinates; and generating, by the machine learning apparatus, a one class model based on the plurality of internal coordinates PI based on mutual spatial distances of the plurality of external coordinates PO and the plurality of internal coordinates PI.

Abstract: The present invention relates to a sensor for sensing hydrogen. The sensor of the present invention comprises: a core which reacts with hydrogen to change a resistance value; at least two electrodes connected to the core; and a variable resistor which is connected to at least one of the two electrodes and of which the resistance value changes in response to a control signal, wherein the core includes palladium having a thin film shape, and graphene which is applied on the palladium and has a thin film shape.

Abstract: Provided is a method for generating a one class model based on a data frequency. The method for generating a one class model based on a data frequency includes: generating, by a machine learning apparatus, a plurality of spatial coordinates by arranging a plurality of learning data in corresponding coordinates in a feature space; classifying, by the machine learning apparatus, the plurality of spatial coordinates into a plurality of internal coordinates PI and a plurality of external coordinates PO based on a frequency of the learning data arranged in the respective spatial coordinates which belong to the plurality of spatial coordinates; and generating, by the machine learning apparatus, a one class model based on the plurality of internal coordinates PI based on mutual spatial distances of the plurality of external coordinates PO and the plurality of internal coordinates PI.

Abstract: The present invention relates to a sensor for sensing hydrogen. The sensor of the present invention comprises: a core which reacts with hydrogen to change a resistance value; at least two electrodes connected to the core; and a variable resistor which is connected to at least one of the two electrodes and of which the resistance value changes in response to a control signal, wherein the core includes palladium having a thin film shape, and graphene which is applied on the palladium and has a thin film shape.