Abstract: Disclosed is an electronic device. The electronic device comprises: a display and a processor, wherein, when at least one condition among the time required to treat an object and an object treatment completion time is input, the processor identifies a plurality of object treatment courses that comply with the condition, identifies the order of priority of the plurality of object treatment courses according to predetermined criteria, and controls the display to provide a list listing information about the plurality of object treatment courses on the basis of the identified order of priority, wherein the object treatment is a process in which an object is cleaned or dried by means of at least one among a cleaning operation and a drying operation.

Abstract: Disclosed are a washer for adjusting an amount of detergent and a method of driving the same, which controls an automatic detergent dispenser to decide the amount of detergent on an amount of contamination of laundry by using artificial intelligence or machine learning, and to input the determined amount of detergent to washing water.

Abstract: The present invention discloses a copolymer for a polymer electrolyte, and a gel polymer electrolyte and a lithium secondary battery which include the same. Specifically, the present invention discloses a copolymer for a polymer electrolyte, which includes (A) a fluorine-based polymer, and (B) a unit derived from an acrylate-based monomer or an acrylate-based polymer, wherein the unit derived from the acrylate-based monomer or the acrylate-based polymer is grafted on the fluorine-based polymer, and a weight ratio of the fluorine-based polymer to the unit derived from the acrylate-based monomer or the acrylate-based polymer is in a range of 1:99 to 40:60, and a gel polymer electrolyte in which lithium ion transfer capability is improved by including the same. Also, the present invention may prepare a lithium secondary battery in which high-temperature safety is improved by including the gel polymer electrolyte.

Abstract: The present specification relates to a heterocyclic compound represented by Chemical Formula 1, and an organic light emitting device including the same.

Abstract: A patient-specific artificial temporomandibular joint is proposed. The patient-specific artificial temporomandibular joint includes: a temporal bone coupling part including a fixing body that is fixed to the temporal bone of a patient and a head receiver that is detachably coupled to the fixing body and provides a close-contact curved surface being open downward; and a mandible coupling part including a coupling body that is fixed to the mandible of a patient and a head that has a spherical shape and is supported by the coupling body in contact with the close-contact curved surface of the head receiver. The patient-specific artificial temporomandibular joint is manufactured by 3-D printing on the basis of shape data of the temporal bone or the mandible of a patient, so a good implanting effect is provided and the patient quickly recovers. Further, worn parts can be partially replaced, thus there is a little burden of maintenance.

Abstract: Disclosed is a washing system capable of detecting a level of contamination of a laundry tub by executing a big data, an artificial intelligence (AI) algorithm and/or a machine learning algorithm in a 5G environment connected for things Internet. The washing system capable of detecting a level of contamination of a laundry tub according to one embodiment of the present disclosure includes a composite sensor for detecting a level of contamination of a laundry tub, a washing machine controller that receives a digital signal from the composite sensor to determine a level of contamination of the laundry tub, and a server communicating with the washing machine. The washing machine controller or the server learns AI model with the training data set through a machine learning algorithm in order to predict a progressing degree of contamination of the laundry tub.

Abstract: The present specification relates to a heterocyclic compound represented by Chemical Formula 1, and an organic light emitting device including the same.

Abstract: A lithium metal secondary battery including a positive electrode, a negative electrode, a separator interposed between the positive electrode and the negative electrode, and a protective layer interposed between the negative electrode and the separator. The protective layer includes an additive, wherein the additive comprises a mixture of hexagonal boron nitride (BN) flakes with an ionomer having a sulfur (S)-containing anionic group and fluorine (F).

Abstract: The present invention relates to a composition for a gel polymer electrolyte, a gel polymer electrolyte prepared using the same and an electrochemical device including the same, and specifically provides a composition for a gel polymer electrolyte including an oligomer which includes a compound represented by Formula 1 and a compound represented by Formula 2, provides a gel polymer electrolyte prepared using the same, and provides an electrochemical device including the same.

Abstract: A method of estimating curvature of a lane in front of a vehicle includes obtaining a reference distance, a reference angle, a reference curvature, and a reference change-rate, based on an image captured by a front camera of the vehicle; calculating respective estimation distances, by which the specific portion of the vehicle will be estimated to be spaced apart from the first extension line, at a plurality of target distances, on a transverse straight-line of the vehicle spaced apart from the vehicle by a predetermined target distance in the forward direction along a second extension line extending from the specific portion of the vehicle in the forward direction of the vehicle, based on the reference distance, the reference angle, the reference curvature, and the reference change-rate; and calculating the curvature of the lane in front of the vehicle based on the respective estimation distances at the plurality of target distances.

Abstract: An electrolyte for a lithium secondary battery and a lithium secondary battery including the same are disclosed herein. In some embodiments, an electrolyte for a lithium secondary battery includes a lithium salt, a non-aqueous solvent containing a fluorine-based organic solvent, and a fluorine-based compound represented by Formula 1. In some embodiments, a lithium secondary battery includes a positive electrode, a negative electrode, a separator disposed therebetween, and the electrolyte.

Abstract: The present invention discloses a copolymer for a polymer electrolyte, and a gel polymer electrolyte and a lithium secondary battery which include the same. Specifically, the present invention discloses a copolymer for a polymer electrolyte, which includes a fluorine-based polymer main chain and a unit derived from an acrylate-based monomer or an acrylate-based polymer containing an ion conductive functional group grafted to the fluorine-based polymer main chain, and a gel polymer electrolyte in which lithium ion transfer capability is improved by including the same. Also, the present invention may prepare a lithium secondary battery with enhanced high-temperature safety by including the gel polymer electrolyte.

Abstract: A lithium secondary battery is disclosed herein. In some embodiments, a lithium secondary battery includes a positive electrode including a lithium transition metal oxide represented by Formula 1, a negative electrode, a non-aqueous electrolyte solution containing a lithium salt, a first non-aqueous solvent, and a second non-aqueous solvent, and a separator, wherein the first non-aqueous solvent is a carbonate-based organic solvent, the second non-aqueous solvent is a fluorine-based organic solvent, and a volume ratio of the first non-aqueous solvent to the second non-aqueous solvent is in a range of 5:5 to 9:1.

Abstract: The present invention relates to a composition for a polymer electrolyte and a lithium secondary battery using the same, and particularly, to a composition for a polymer electrolyte which includes a single ion-conductive polymer including a unit represented by Chemical Formula 1; and at least one additive selected from the group consisting of a ceramic electrolyte and inorganic particles, wherein a weight ratio of the single ion-conductive polymer:the additive(s) is 1:0.1 to 1:9, and a lithium secondary battery which exhibits an improvement in cell performance by including the same.

Abstract: An apparatus and a method for predicting freezing of a washing machine, which predicts freezing of the washing machine based on a change of air temperature through an artificial intelligence algorithm and provides a freeze prediction result to a user terminal associated with the washing machine in a 5G environment, thereby preventing freezing of the washing machine. The apparatus for predicting freezing of the washing machine determines, based on temperature data sensed by a temperature sensor disposed in the washing machine and air temperature data received from a meteorological administration server, an association of temperature change of the washing machine according to the air temperature data, through the freezing prediction algorithm, and predicts freezing of the washing machine based on the association of temperature change of the washing machine and an air temperature forecast received from the meteorological administration server.

Abstract: A dynamic imbalance detection system capable of whether a washing machine is in a dynamically imbalanced position by using big data and executing an AI algorithm or a machine learning algorithm in a 5G communications network environment built for IoT. The system includes a washing machine and a server communicating with the washing machine. The washing machine includes a vibration sensor attached to a washing machine cabinet and a controller receiving a vibration signal detected by the vibration sensor during the operation of the washing machine and processing the vibration signal into vibration data. The server receives the vibration data from the controller and trains a machine learning algorithm on a training dataset that is obtained by processing one or more features among a displacement magnitude, a displacement ratio, and a displacement phase, and determines result values of dynamic balance and dynamic imbalance labeled with the one or more features.

Abstract: A display device including a partition wall disposed on a substrate between a first electrode and a second electrode. The partition wall has an opening. A light emitting layer is disposed in the opening. An auxiliary layer having lyophobicity is disposed between the partition wall and the second electrode.

Abstract: The present application relates to a compound represented by Chemical Formula 1, an organic optoelectronic diode and a display device. In Chemical Formula 1, each substituent has the same definition as in the specification.

Abstract: Disclosed is an apparatus and method of preparing synthetic fuel using natural gas extracted from a stranded gas field on land or at sea as a raw material through a compact GTL process or a GTL-FPSO process. A parallel-type gas purification unit for controlling a molar ratio of synthetic gas and a concentration of carbon dioxide in the synthetic gas, in which a CO2 separation device and a bypass unit are disposed in parallel, is provided and, thus, the gas purification unit may prepare the synthetic gas by a steam carbon dioxide reforming (SCR) reaction using natural gas having different CO2 contents of various stranded gas fields and then supply the synthetic gas having an optimum composition suitable for a Fischer-Tropsch synthesis.

Abstract: A dynamic imbalance detection system capable of whether a washing machine is in a dynamically imbalanced position by using big data and executing an AI algorithm or a machine learning algorithm in a 5G communications network environment built for IoT. The system includes a washing machine and a server communicating with the washing machine. The washing machine includes a vibration sensor attached to a washing machine cabinet and a controller receiving a vibration signal detected by the vibration sensor during the operation of the washing machine and processing the vibration signal into vibration data. The server receives the vibration data from the controller and trains a machine learning algorithm on a training dataset that is obtained by processing one or more features among a displacement magnitude, a displacement ratio, and a displacement phase, and determines result values of dynamic balance and dynamic imbalance labeled with the one or more features.