Abstract: A method includes obtaining device usage log data associated with multiple user devices. The device usage log data is related to device settings associated with the user devices, where each device setting associated with the user devices is adjustable by users of the user devices. The method also includes obtaining one or more metrics representing each user's activeness in customizing one or more device settings of the user device associated with the user based on the device usage log data. The method further includes clustering the users into multiple groups based on the metric(s) and identifying at least one of the groups as being at least one valid user group. In addition, the method includes providing one or more recommendations of at least one customized device setting to one or more of the user devices based on the device usage log data associated with the valid user group(s).

Abstract: One embodiment provides a method comprising collecting ambient light sensing (ALS) data indicative of one or more ambient lighting conditions of a user within proximity of a display device, and collecting user preferences and characteristics (UPC) of the user. The UPC include a user-preferred display correlated color temperature (CCT). The user-preferred display CCT represents a CCT the user prefers for the display device. The method further comprises transmitting to a remote server the ALS data and the UPC, and receiving from the remote server one or more models constructed based in part on some of the ALS data and some of the UPC. The method further comprises automatically adjusting one or more color temperature settings of the display device based on the one or more models.

Abstract: One embodiment provides a method comprising receiving device setting behavioral data collected from one or more consumer electronic (CE) devices, and generating one or more machine learning (ML) models based on a portion of the device setting behavioral data. In one embodiment, the method comprises predicting, via the one or more ML models, a device setting suitable for a CE device based on a current user context, and providing a recommendation comprising the predicted device setting to the CE device. In another embodiment, the method comprises clustering, via the one or more ML models, at least one user associated with the one or more user-initiated adjustments into at least one user group, and determining one or more user-preferred device settings that the user group prefers most. The one or more user-preferred device settings are provided to a CE device as one or more new device settings available for user selection.

Abstract: Disclosed is a method for manufacturing a secondary battery. According to the present invention, a problem of weakening durability of a pouch, which may occur in a process of forming cups having different depths in the pouch may be solved.

Abstract: One embodiment provides a method comprising receiving device setting behavioral data collected from one or more consumer electronic (CE) devices, and generating one or more machine learning (ML) models based on a portion of the device setting behavioral data. In one embodiment, the method comprises predicting, via the one or more ML models, a device setting suitable for a CE device based on a current user context, and providing a recommendation comprising the predicted device setting to the CE device. In another embodiment, the method comprises clustering, via the one or more ML models, at least one user associated with the one or more user-initiated adjustments into at least one user group, and determining one or more user-preferred device settings that the user group prefers most. The one or more user-preferred device settings are provided to a CE device as one or more new device settings available for user selection.

Abstract: An apparatus for determining a user's mental state in a terminal is provided. The apparatus includes a data collector configured to collect sensor data; a data processor configured to extract feature data from the sensor data; and a mental state determiner configured to provide the feature data to an inference model to determine the user's mental state.

Abstract: Disclosed is a method for manufacturing a secondary battery. According to the present invention, a problem of weakening durability of a pouch, which may occur in a process of forming cups having different depths in the pouch may be solved.

Abstract: Disclosed herein are an electrode assembly including a plurality of unit cells arranged in a height direction on the basis of a plane, at least two of the unit cells having different planar sizes, and a space portion defined by the difference in planar size between the arranged unit cells, wherein each of the unit cells includes at least one electrode plate, electrode tabs protruding from the electrode plates of the unit cells are electrically connected to an electrode lead via a tab-lead coupling part, and the tab-lead coupling part is located in the space portion, and a battery cell including the same.

Abstract: Disclosed is a fluid accelerator provided on a fluid flow path so as to improve the fluid flow velocity. To this end, provided is a fluid accelerator comprising: a body formed in a cylindrical structure so as to be provided on a fluid flow path; a center hole forming a venturi passage in the vertical direction in the center of the body and having a helical guide groove provided on the inner circumferential surface of the venturi passage; and a plurality of middle holes formed in the vertical direction of the body along the edge of the center hole around the center hole. The fluid accelerator of the present invention can be easily provided in conventional device using fluid, thereby improving the fluid velocity.

Abstract: An apparatus for determining a user's mental state in a terminal is provided. The apparatus includes a data collector configured to collect sensor data; a data processor configured to extract feature data from the sensor data; and a mental state determiner configured to provide the feature data to an inference model to determine the user's mental state.

Abstract: The present invention provides a shoestring tightening device characterized by comprising: a lower body, which has at least one semi-circular shoestring passing hole formed on the periphery thereof, and which has a protrusion hole formed on the bottom surface thereof; a cylindrical rotation guide, which has a shaft protrusion that is fitted to the protrusion hole, which has a shoestring passing groove formed on the periphery thereof so as to communicate with the shoestring passing hole, and which has at least two fixing grooves formed on the inner peripheral surface thereof; a disk-shaped rotor, which has at least two fixing members that are fitted to the fixing grooves, which has a cylindrical spring containing protrusion protruding from one-side surface thereof, which has rotor teeth formed on the other-side surface thereof and arranged in a circular shape, and which has a shaft protruding from the center of the other-side surface thereof; an upper cover, which is assembled correspondingly so as to seal the

Abstract: An apparatus that determines an immersion risk of a mobile terminal user, includes an immersion determination unit configured to determine whether the user is immersed in a mobile terminal based on data of the user, and calculate an immersion frequency based on a result of the determination. The apparatus further includes an immersion risk determination unit configured to calculate a degree of the immersion risk based on the immersion frequency, and determine whether the immersion risk is present based on the degree of the immersion risk.

Abstract: An apparatus for determining a user's mental state in a terminal is provided. The apparatus includes a data collector configured to collect sensor data; a data processor configured to extract feature data from the sensor data; and a mental state determiner configured to provide the feature data to an inference model to determine the user's mental state.

Abstract: Disclosed herein are an electrode assembly including a plurality of unit cells arranged in a height direction on the basis of a plane, at least two of the unit cells having different planar sizes, and a space portion defined by the difference in planar size between the arranged unit cells, wherein each of the unit cells includes at least one electrode plate, electrode tabs protruding from the electrode plates of the unit cells are electrically connected to an electrode lead via a tab-lead coupling part, and the tab-lead coupling part is located in the space portion, and a battery cell including the same.

Abstract: A user interface using an acoustic signal is provided. A device with the user interface includes a sensor to acquire a surface acoustic signal generated outside of the device, and at least one processor. The processor classifies patterns of the surface acoustic signal by analyzing features of the surface acoustic signal, and identifies a user's input signal corresponding to the surface acoustic signal based on the pattern of the surface acoustic signal.

Abstract: A detecting apparatus for a mobile terminal, including a determination unit configured to determine whether a user's attention is preoccupied, and a warning unit configured to provide an alert, in response to the determination unit determining that the user's attention is preoccupied.

Abstract: Disclosed are cognitive function test device and method, the cognitive function test device including a content information generator configured to generate content information from a content of a user, a question and answer data generator configured to generate at least one question and answer data based on the content information, and a question and answer executor configured to provide a question related to the content and to evaluate an answer to the question based on the at least one question and answer data.

Abstract: An apparatus and method for recognizing a speech, and an apparatus and method for generating a noise-speech recognition model are provided. The speech recognition apparatus includes a location determiner configured to determine a location of the apparatus, a noise model generator configured to generate a noise model corresponding to the location by collecting noise data related to the location, and a noise model transmitter configured to transmit the noise model to a server.

Abstract: A light-emitting diode having a multilayer bonding pad includes: a P1 layer disposed under a light-emitting structure and configured to improve ohmic contact and adhesion; a P3 layer disposed under the P1 layer and configured to prevent diffusion; a Sn-based metal layer disposed under the P1 layer and configured to enhance soldering weldability and prevent oxidation; a Cu-based P5 layer disposed on the Sn-based metal layer and configured to prevent the diffusion of Sn; and a P4 layer disposed between the P3 layer and the P5 layer and configured to suppress the reaction between the P5 layer and other layers.

Abstract: A diagnostic apparatus and a diagnosis management apparatus that utilizes habit data, and a diagnostic method using the same are provided. The diagnostic apparatus includes a habit analyzer configured to generate habit data of a user by analyzing sensor data detected from at least one sensor, and a diagnoser configured to determine whether the user is at risk of a disease, by comparing the generated habit data with diagnostic data including habit data of healthy people.