Abstract: The present disclosure relates to a clothes treating apparatus that operates by executing an artificial intelligence (AI) algorithm and/or a machine learning algorithm in a 5G environment connected for Internet of Things, and a method for operating the clothes treating apparatus. The method for operating the clothes treating apparatus includes acquiring a clothing image by using a camera to photograph a user wearing clothes and standing in front of a mirror display placed on a front surface of the clothes treating apparatus, analyzing the clothing image, setting an operation mode of the clothes treating apparatus according to the result of analyzing the clothing image, and causing the clothes treating apparatus to operate according to the set operation mode. It is possible to improve user satisfaction by automatically setting and activating an operation mode of a clothes treating apparatus based on clothing image information.

Abstract: A refrigerator for controlling operations by executing artificial intelligence (AI) algorithms and/or machine learning algorithms in a 5G environment connected for Internet of Things, and a method of operating the refrigerator, are disclosed. A method for operating a refrigerator including performing by a controller, a first recognition of a first food being placed into the refrigerator, performing by the controller, a second recognition of a second food being taken out from the refrigerator, and displaying, on a display of the refrigerator, storage status information on remaining food in the refrigerator based on a result of the first recognition and a result of the second recognition is provided.

Abstract: The present disclosure relates to a clothes treating apparatus that operates by executing an artificial intelligence (AI) algorithm and/or a machine learning algorithm in a 5G environment connected for Internet of Things, and a method for operating the clothes treating apparatus. The method for operating the clothes treating apparatus includes acquiring a clothing image by using a camera to photograph a user wearing clothes and standing in front of a mirror display placed on a front surface of the clothes treating apparatus, analyzing the clothing image, setting an operation mode of the clothes treating apparatus according to the result of analyzing the clothing image, and causing the clothes treating apparatus to operate according to the set operation mode. It is possible to improve user satisfaction by automatically setting and activating an operation mode of a clothes treating apparatus based on clothing image information.

Abstract: A refrigerator for controlling operations by executing artificial intelligence (AI) algorithms and/or machine learning algorithms in a 5G environment connected for Internet of Things, and a method of operating the refrigerator, are disclosed. A method for operating a refrigerator including performing by a controller, a first recognition of a first food being placed into the refrigerator, performing by the controller, a second recognition of a second food being taken out from the refrigerator, and displaying, on a display of the refrigerator, storage status information on remaining food in the refrigerator based on a result of the first recognition and a result of the second recognition is provided.

Abstract: A manufacturing method of an amorphous soft magnetic core using a Fe-based amorphous metallic powder includes size-sorting an amorphous metallic powder obtained by pulverizing an amorphous ribbon prepared by a rapid solidification process (RSP) and then using the amorphous metallic powder having a particle size distribution so as to comprise 10 to 85 wt. % of powder having a particle size of 75 to 100 ?m, 10 to 70 wt. % of powder having a particle size of 50 to 75 ?m, and 5 to 20 wt. % of powder having a particle size of 5 to 50 ?m to manufacture an amorphous soft magnetic core with excellent high-current DC bias characteristic and good core loss characteristic.

Abstract: Provided are a soft magnetic core having an excellent high current DC biased characteristic and an excellent core loss characteristic and a manufacturing method thereof. The method includes the steps of: after classifying nanocrystalline grains obtained by grinding metal ribbons prepared by using a rapid solidification process (RSP), mixing alloy powders so that a particle size distribution is configured to have a particle size of 75˜100 ?m with 10˜85 wt %, a particle size of 50˜75 ?m with 10˜70 wt %, and a particle size 5˜50 ?m with 5˜20 wt %, to thus prepare the soft magnetic cores by using nanocrystalline alloy powders having an excellent high current DC biased characteristic and an excellent core loss characteristic.

Abstract: Provided are a soft magnetic core having an excellent high current DC biased characteristic and an excellent core loss characteristic and a manufacturing method thereof. The method includes the steps of: after classifying nanocrystalline grains obtained by grinding metal ribbons prepared by using a rapid solidification process (RSP), mixing alloy powders so that a particle size distribution is configured to have a particle size of 75˜100 ?m with 10˜85 wt %, a particle size of 50˜75 ?m with 10˜70 wt %, and a particle size 5˜50 ?m with 5˜20 wt %, to thus prepare the soft magnetic cores by using nanocrystalline alloy powders having an excellent high current DC biased characteristic and an excellent core loss characteristic.

Abstract: A manufacturing method of an amorphous soft magnetic core using a Fe-based amorphous metallic powder includes size-sorting an amorphous metallic powder obtained by pulverizing an amorphous ribbon prepared by a rapid solidification process (RSP) and then using the amorphous metallic powder having a particle size distribution so as to comprise 10 to 85 wt. % of powder having a particle size of 75 to 100 ?m, 10 to 70 wt. % of powder having a particle size of 50 to 75 ?m, and 5 to 20 wt. % of powder having a particle size of 5 to 50 ?m to manufacture an amorphous soft magnetic core with excellent high-current DC bias characteristic and good core loss characteristic.