Abstract: Provided herein are systems, methods and computer readable storage media for facilitating payments for consumer transactions and redemption of deal offerings. In providing such functionality, the system can be configured to, for example, receive payment for one or more products, determine a deal voucher's current value and cause the redemption of the deal voucher.

Abstract: The present invention relates to a catalyst for producing carbon nanotubes, a method for preparing the catalyst, and a method for producing carbon nanotubes using the catalyst which includes a support, and an active layer formed on a surface of the support, wherein the active layer contains CoO and Co3O4, and has, through XRD pattern measurement, one peak at 2?=35° to 38°, and one peak at 2?=41° to 44°, and a proportion of CoO among the CoO and Co3O4 is 55 at % or more. The catalyst according to the present invention can efficiently synthesize low-diameter carbon nanotubes.

Abstract: The present invention relates to a method for preparing a carbon nanotube-producing catalyst using chemical vapor deposition method. Using the above preparation method, a uniform and thin coating layer can be formed even on the surface of a support having a high-specific-surface-area having a 3D structure, and high-quality and low-diameter carbon nanotubes can be produced using the catalyst prepared through this method.

Abstract: The present invention relates to bundle-type carbon nanotubes having an average bundle thickness of 10 ?m or more, and a D50 of 10 ?m or more. The carbon nanotubes have excellent electrical conductivity and dispersibility and are particularly suitable for use as a conductive material.

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: In another exemplary embodiment of the present disclosure is an exemplary system, method and computer-accessible for determining a characteristic(s) of a tissue(s), that can include, for example, receiving magnetic resonance imaging information regarding the tissue(s) including a time-intensity curve(s) of the tissue(s) based on a contrast agent(s) concentration, actively encoding a part of the time-intensity curve(s) with a magnetic resonance relaxation property(s) of the tissue(s) by varying a magnetic resonance imaging scan parameter(s) to generate encoded data during magnetic resonance data acquisition, and determining the tissue characteristic(s) based on the encoded data.

Abstract: Methods, systems, and articles for receiving, by a monitor server, change data associated with a change captured on a target host, are described herein. In various embodiments, the target host may have provided the change data in response to detecting the change, and the change data may include one or more rules, settings, and/or parameters. Further, in some embodiments, the monitor server may then group the change data into clusters and may correlate the clusters with a change catalog in order to provide a possible reason or cause for the cluster of changes. Once the change data have been classified as clusters, a report may be generated providing classification or categorization and cluster information for the various changes. In various embodiments, the generating may comprise generating a report to the target host and/or to an administrative user. In various embodiments, a reason may be determined for causing a cluster of changes and the change catalog may updated with the reason.

Abstract: In another exemplary embodiment of the present disclosure is an exemplary system, method and computer-accessible for determining a characteristic(s) of a tissue(s), that can include, for example, receiving magnetic resonance imaging information regarding the tissue(s) including a time-intensity curve(s) of the tissue(s) based on a contrast agent(s) concentration, actively encoding a part of the time-intensity curve(s) with a magnetic resonance relaxation property(s) of the tissue(s) by varying a magnetic resonance imaging scan parameter(s) to generate encoded data during magnetic resonance data acquisition, and determining the tissue characteristic(s) based on the encoded data.

Abstract: Methods, systems, and articles for receiving, by a monitor server, change data associated with a change captured on a target host, are described herein. In various embodiments, the target host may have provided the change data in response to detecting the change, and the change data may include one or more rules, settings, and/or parameters. Further, in some embodiments, the monitor server may then group the change data into clusters and may correlate the clusters with a change catalog in order to provide a possible reason or cause for the cluster of changes. Once the change data have been classified as clusters, a report may be generated providing classification or categorization and cluster information for the various changes. In various embodiments, the generating may comprise generating a report to the target host and/or to an administrative user.

Abstract: Provided are a method and system for providing like or dislike information by using an address book. The like or dislike information providing system using an address book includes: a classification information receiving unit for receiving classification information, which is obtained when a first user selects a second user who is registered in an address book of a terminal of the first user into one of predetermined categories, from the terminal of the first user; a like or dislike information generating unit for generating like or dislike information that shows a like or a dislike which a third user, who registered the second user in an address book, has about the second user by using the classification information; and a like or dislike information providing unit for providing the generated like or dislike information to the terminal of the second user, and the like or dislike information providing method using the same.

Abstract: Methods, systems, and articles for receiving, by a monitor server, change data associated with a change captured on a target host, are described herein. In various embodiments, the target host may have provided the change data in response to detecting the change, and the change data may include one or more rules, settings, and/or parameters. Further, in some embodiments, the monitor server may analyze the change data in order to group the change data into clusters. Once the change data have been classified as clusters, a report may be generated providing classification or categorization and cluster information for the various changes. In various embodiments, the generating may comprise generating a report to the target host and/or to an administrative user.

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: This invention features a method of identifying a compound useful for enhancing efficacy of a therapeutic agent. The method includes incubating a compound in blood cells; separating immune cells from erythrocytic cells; and determining the ratio of the concentration of the compound in the immune cells to the concentration of the compound in the erythrocytic cells; wherein the compound comprises a transportophore and a therapeutic agent, in which the transportophore is covalently bonded to the therapeutic agent via a bond or a linker.