Abstract: A clothes dryer including a cabinet, a drum rotatably supported in the cabinet, a supply port configured to guide air into the drum, an exhaust port configured to guide the air in the drum to an outside of the drum, and a lint removing apparatus configured to remove lint from the air passing through the exhaust port. Where the lint removing apparatus includes a lint filter configured to capture lint, a rotation member rotatably installed to scrape and collect the lint captured in the lint filer, a driving device configured to generate power, a first coupler connected to the driving device to receive the power from the driving device, and a second coupler coupled to the first coupler to transmit the power to the rotation member.

Abstract: A language correction system, a method therefor, and a language correction model learning method of the system are disclosed. The system comprises a correction model learning unit and a language correction unit. The correction model learning unit performs machine learning on a plurality of data sets consisting of ungrammatical sentence data and error-free grammatical sentence data respectively corresponding to the ungrammatical sentence data, so as to generate a correction mode for detecting grammatical sentence data corresponding to ungrammatical sentence data to be corrected. The language correction unit generates, for a sentence to be corrected, a corresponding corrected sentence by using the correction model generated by the correction model learning unit, and displays and outputs the corrected parts together with the generated corrected sentence.

Abstract: A shoe care apparatus includes: a chamber configured to accommodate a shoe; a fan configured to supply air to the chamber; a heat pump device comprising a condenser configured to heat the air and a compressor configured to discharge a refrigerant to the condenser; at least one holder in the chamber and comprising a nozzle configured to spray the air; at least one damper on a side of the chamber, the at least one damper corresponding to the at least one holder so as to adjust supply of the sprayed air; at least one detection sensor in the chamber, the at least one detection sensor being configured to detect the shoe accommodated in the chamber; and a controller configured to control the at least one damper based on a detection signal received from the at least one detection sensor.

Abstract: A clothes dryer including a cabinet, a drum rotatably supported in the cabinet, a supply port configured to guide air into the drum, an exhaust port configured to guide the air in the drum to an outside of the drum, and a lint removing apparatus configured to remove lint from the air passing through the exhaust port. Where the lint removing apparatus includes a lint filter configured to capture lint, a rotation member rotatably installed to scrape and collect the lint captured in the lint filer, a driving device configured to generate power, a first coupler connected to the driving device to receive the power from the driving device, and a second coupler coupled to the first coupler to transmit the power to the rotation member.

Abstract: A language correction system, a method therefor, and a language correction model learning method of the system are disclosed. The system comprises a correction model learning unit and a language correction unit. The correction model learning unit performs machine learning on a plurality of data sets consisting of ungrammatical sentence data and error-free grammatical sentence data respectively corresponding to the ungrammatical sentence data, so as to generate a correction mode for detecting grammatical sentence data corresponding to ungrammatical sentence data to be corrected. The language correction unit generates, for a sentence to be corrected, a corresponding corrected sentence by using the correction model generated by the correction model learning unit, and displays and outputs the corrected parts together with the generated corrected sentence.