Abstract: Provided is a server including one or more processors configured to receive a chatroom generation request including subscription fee information for a chatroom usage pass from an operator terminal corresponding to an operator account, generate a chatroom set to be available to a subscriber account that subscribes to the chatroom usage pass in response to the chatroom generation request, receive a request to access the chatroom from a user terminal corresponding to a user account, and grant an access right for the chatroom to the user account based on the chatroom usage pass subscribed by the user account.

Abstract: Provided are a robot cleaner using an artificial intelligence (AI) and/or machine learning algorithm in a 5G environment connected for the Internet of Things and a method for determining a cleaning path of a robot cleaner. The method for determining a cleaning path includes detecting an obstacle, identifying a type of the obstacle based on the image signal, generating a cleaning map including information on the identified obstacle, providing the cleaning map to a user terminal, receiving an input of a cleaning pattern for an area of the obstacle from the user terminal, and determining a cleaning path including the cleaning pattern for the area of the obstacle.

Abstract: Provided is a robot cleaner using an artificial intelligence (AI) algorithm and/or a machine learning algorithm in a 5G environment connected for Internet of Things (IoT). The robot cleaner includes one or more sensors, a driving wheel, a suction blower, and a controller, and the controller defines a cleaning target area, identifies a user's location and a type of the user's behavior, collects life pattern information of the user including the user's location, the type of the user's behavior, and timestamps each associated therewith during the time period of one day or more, determines a cleaning schedule of the robot cleaner based on the collected life pattern information, and controls the driving wheel and the suction blower so as to perform cleaning in accordance with the determined cleaning schedule.

Abstract: An optical measurement device includes an optical sensor which measures an optical waveform of a reference object or a measurement object, a learner which receives a first optical waveform of the reference object from the optical sensor and learns frequency characteristics of the first optical waveform, a filter generator which analyzes the frequency characteristics of the first optical waveform and generates a frequency filter, a frequency modeling unit which receives a second optical waveform of the measurement object from the optical sensor and models frequency characteristics of the second optical waveform, and an optical characteristic detector which calculates an optical characteristic index of the second optical waveform based on an output value of the frequency modeling unit and the frequency filter.

Abstract: The electronic apparatus, according to various embodiments of the present disclosure, comprises a housing defining the exterior of the electronic apparatus, a cover which, with the housing, defines at least part of the exterior of the electronic apparatus, and a coupling structure arranged on the housing and configured to detachably couple the cover to the housing, wherein the coupling structure may comprise an opening, a screw coupling structure located inside the opening, a connection part for connecting the perimeters of the screw coupling structure and the opening, and one or more catching protrusions protruding from the perimeter of the opening towards the screw coupling structure, and wherein the cover may comprise a hook configured to be hooked to the one or more catching protrusions.

Abstract: An optical measurement device includes an optical sensor which measures an optical waveform of a reference object or a measurement object, a learner which receives a first optical waveform of the reference object from the optical sensor and learns frequency characteristics of the first optical waveform, a filter generator which analyzes the frequency characteristics of the first optical waveform and generates a frequency filter, a frequency modeling unit which receives a second optical waveform of the measurement object from the optical sensor and models frequency characteristics of the second optical waveform, and an optical characteristic detector which calculates an optical characteristic index of the second optical waveform based on an output value of the frequency modeling unit and the frequency filter.

Abstract: Provided are a robot cleaner using an artificial intelligence (AI) and/or machine learning algorithm in a 5G environment connected for the Internet of Things and a method for determining a cleaning path of a robot cleaner. The method for determining a cleaning path includes detecting an obstacle, identifying a type of the obstacle based on the image signal, generating a cleaning map including information on the identified obstacle, providing the cleaning map to a user terminal, receiving an input of a cleaning pattern for an area of the obstacle from the user terminal, and determining a cleaning path including the cleaning pattern for the area of the obstacle.

Abstract: Provided is a robot cleaner using an artificial intelligence (AI) algorithm and/or a machine learning algorithm in a 5G environment connected for Internet of Things (IoT). The robot cleaner includes one or more sensors, a driving wheel, a suction blower, and a controller, and the controller defines a cleaning target area, identifies a user's location and a type of the user's behavior, collects life pattern information of the user including the user's location, the type of the user's behavior, and timestamps each associated therewith during the time period of one day or more, determines a cleaning schedule of the robot cleaner based on the collected life pattern information, and controls the driving wheel and the suction blower so as to perform cleaning in accordance with the determined cleaning schedule.

Abstract: The electronic apparatus, according to various embodiments of the present disclosure, comprises a housing defining the exterior of the electronic apparatus, a cover which, with the housing, defines at least part of the exterior of the electronic apparatus, and a coupling structure arranged on the housing and configured to detachably couple the cover to the housing, wherein the coupling structure may comprise an opening, a screw coupling structure located inside the opening, a connection part for connecting the perimeters of the screw coupling structure and the opening, and one or more catching protrusions protruding from the perimeter of the opening towards the screw coupling structure, and wherein the cover may comprise a hook configured to be hooked to the one or more catching protrusions.

Abstract: The present invention provides a light emitting element, which includes a light emitting diode (LED) chip and a wavelength-converting layer arranged on a surface of the LED chip, the wavelength-converting layer to convert a wavelength of light emitted from the LED chip, wherein at least a portion of the wavelength-converting layer has a width greater than the width of the surface of the LED chip.

Abstract: The present invention provides a light emitting element, which includes a light emitting diode (LED) chip and a wavelength-converting layer arranged on a surface of the LED chip, the wavelength-converting layer to convert a wavelength of light emitted from the LED chip, wherein at least a portion of the wavelength-converting layer has a width greater than the width of the surface of the LED chip.

Abstract: The present disclosure provides a counterfeit detector which identifies whether a security document or the like is authentic by irradiating UV rays from UV LEDs onto fluorescent security marks formed on the security document. UV rays emitted from the UV LEDs are independently condensed and reflected, thus enabling a user to more effectively identify the fluorescent security marks that are formed in special shapes using UV fluorescent material.

Abstract: The present invention relates to a method for preparing a GI (graded index) plastic optical fiber preform having a radial refractive index gradient, the refractive index increasing gradually from the outer periphery of the preform toward the center thereof, comprising inserting a 1st plastic tube (inside diameter: d1i, outside diameter: d1o) (111) made of a first polymer (refractive index: n1) in a cylinder reactor (inside diameter: d0i, d1o?d0i) and inserting a 2nd plastic tube (inside diameter: d2i, outside diameter d2o, d2o?d1i) (112) made of a second polymer (refractive index: n2, n2?n1) in the 1st plastic tube, the reactor, the 1st and 2nd plastic tubes are positioned coaxially, injecting a precursor of a third polymer (refractive index: n?, n??n2) into the 2nd plastic tube, injecting a precursor of a fourth polymer (refractive index: n?, n1?n??n2) into the space between the 1st and 2nd plastic tubes.