Abstract: The present disclosure relates to an apparatus for controlling a side mirror of an autonomous vehicle and a method thereof. According to an embodiment of the present disclosure, it is possible to detect whether a vehicle is autonomously driven and to fold the side mirror such that a mirror surface is in close contact with a vehicle body surface or side window glass or to insert the side mirror into the inner space of the vehicle when the vehicle is autonomously driven. Through the present disclosure, it is possible to notify an external vehicle of information indicating that the vehicle is driven in an autonomous driving mode.

Abstract: An apparatus and a method are configured to control a steering wheel of an autonomous driving vehicle. A state of a driver may be monitored during autonomous driving, and at least one of an upward/downward location, a leftward/rightward tilting angle, or an axial movement of the steering wheel of the autonomous driving vehicle may be controlled based on the state of the driver. As a result, danger information may be delivered to the driver through a dual system during autonomous driving.

Abstract: A display device includes a first substrate including an open portion, a first barrier insulating layer disposed on the first substrate and including a first contact hole overlapping the open portion, a first fan-out line disposed on the first barrier insulating layer, a pad part integrally formed with the first fan-out line and exposed through the open portion, a second substrate disposed on the first fan-out line, a connection part disposed on the second substrate and connected to the first fan-out line, a second fan-out line disposed on a layer between the first fan-out line and the connection part and connected to the connection part, a data line disposed on the same layer as the connection part and electrically connected to the second fan-out line, a flexible film including a lead electrode, and a contact part electrically connecting the lead electrode and the pad part.

Abstract: A state score derivation system includes a normal-state matrix generation unit configured to receive process data in a normal state for a plurality of points in time and generate a two-dimensional (2D) normal-state matrix representative of the relationship between the data values of a current point in time and a previous point in time for each point in time; a process data reception unit configured to receive process data; a checking target matrix generation unit configured to periodically check the received process data and generate a 2D checking target matrix representative of the relationship between the data values of a current point in time and a previous point in time for each period; and a state score derivation unit configured to derive a state score.

Abstract: A composition for preparing a nonlinear optic material including an organic chromophore that is polarized by an electric field, a precursor that can form an inorganic material polymer by a sol-gel reaction, and a compatibilizer that can bind to both the organic chromophore and the inorganic material polymer, wherein the organic chromophore includes a functional group at a terminal end that can bind to both the inorganic material polymer and the compatibilizer, a nonlinear optic material prepared from the composition, a method of preparing the nonlinear optic material, and an electro-optic device including the nonlinear optic material are disclosed.

Abstract: A method for operating an electronic device, the method including: displacing a rollable touchscreen to a first position along a first direction, a first side of the rollable touchscreen being mounted in a housing, the rollable touchscreen being configured to be rolled into or unrolled out of the housing along the first direction, detecting an active electrode at a first location on the rollable touchscreen, the active electrode being mounted in the housing, and determining the first position of the rollable touchscreen based on the first location, the first positing being indicative of a fractional amount of the rollable touchscreen outside the housing.

Abstract: A learning system deploys, to one or more client devices, modules to be deployed in a learning environment of a respective client node. The learning environment of a respective client node may include modules for the client device (or client node) to collaborate with the central learning system and other client nodes via a distributed learning (e.g., federated learning, split learning) framework. In one embodiment, the learning system deploys an interoperable distributed learning environment for training a neural network encoder which can be used in heterogenous datasets to transform the heterogenous datasets across different institutions or entities into a common latent feature space. After training, the learning system receives data instances including a set of features and labels from different client nodes and trains a task neural network model configured to receive features in the latent space and generate an estimated label from the received data instances.

Abstract: A display device includes a substrate having a display area, in which an image is displayed, and a non-display area, in which no image is displayed. The non-display area is disposed on at least one side of the display area. A plurality of pixels is disposed in the display area. An encapsulation layer is disposed on the plurality of pixels. A dam unit is disposed in the non-display area. The dam unit includes a body part and a plurality of protrusions. Each of the plurality of protrusions protrudes from the body part.

Abstract: Data boundary deriving system and method include: a sample data reception unit configured to receive a plurality of pieces of sample data having a plurality of characteristic values; a cluster generation unit configured to generate a plurality of clusters by classifying the plurality of pieces of sample data; a probability density function derivation unit configured to derive a probability density function based on the characteristic values of data included in each of the plurality of generated clusters; and a learning data generation unit configured to generate learning data by calculating the values of the probability density function of a cluster including each piece of sample data for each of the plurality of sample data and labeling second sample data based on the calculated values, and an operating method thereof.

Abstract: In an embodiment, a method includes performing a calibration of a first touch cell of a touch screen, where performing the calibration includes: receiving a first code associated with the first touch cell; receiving a second code associated with the first touch cell; determining whether there is an indication of a touch of the touch screen based on the first and second codes; generating a raw code based on the first or second codes; receiving a third code associated with the first touch cell; determining whether the third code matches the raw code; and in response to determining that there is no indication of a touch of the touch screen based on the first and second codes, and that the third code matches the raw code, updating a calibration code associated with the first touch cell based on the raw code or the third code.

Abstract: A method for operating a display includes receiving a horizontal synchronization (HSYNC) signal from a display driver of the display, the HSYNC signal including a plurality of pulses; measuring a parameter of the HSYNC signal within a frame; and initiating a touch scan on a touch sensing panel of the display based on the measured parameter.

Abstract: A learning system deploys a dynamic data conversion module (DDCM) that is customized to perform one or more extract, transform, and load (ETL) operations on the local client data that is used to train at least a portion of a master machine-learning model for the distributed learning framework. The DDCM envelopes a set of components including at least a pre-assessment toolkit and a ETL model. The pre-assessment toolkit is configured to collect statistics and abstract information from the client database of the client device and provide the statistics and abstract information to the learning system. Based on the statistics and abstract information of a respective client device, the learning system generates conversion logics and standardized vocabularies and provides them to the DDCM of the client device.

Abstract: A health technology system provides various applications for providing intelligent informatics on health and medical histories of subjects. In one embodiment, the health technology system includes a visualization system for providing an interactive user interface (UI) for displaying health and medical history for a subject. Specifically, the visualization system obtains health and medical information for a subject and generates various elements on the UI for visualizing the health and medical history of the subject.

Abstract: An artificial intelligence configuration system and an artificial intelligence configuration method include a device type information storage unit configured to store device type information for a plurality of device types to be monitored; an artificial intelligence configuration information storage unit configured to store one or more pieces of artificial intelligence configuration information for each of the device types; a device information storage unit configured to store device information for each actual device of each of the device types; an artificial intelligence configuration unit; a device configuration unit; and a sensing data analysis unit, and an artificial intelligence configuration method.

Abstract: A method for operating an electronic device, the method including: displacing a rollable touchscreen to a first position along a first direction, a first side of the rollable touchscreen being mounted in a housing, the rollable touchscreen being configured to be rolled into or unrolled out of the housing along the first direction, detecting an active electrode at a first location on the rollable touchscreen, the active electrode being mounted in the housing, and determining the first position of the rollable touchscreen based on the first location, the first positing being indicative of a fractional amount of the rollable touchscreen outside the housing.

Abstract: An apparatus for diagnosing an abnormality of a vehicle sensor is provided. The apparatus includes a sensor configured to measure an acceleration and an angular velocity of a vehicle, a camera configured to generate a front time series image frame of the vehicle, and a controller configured to estimate the acceleration and the angular velocity of the vehicle by using the front time series image frame generated by the camera and diagnose an abnormality in the sensor based on the acceleration and the angular velocity of the vehicle estimated by the controller.

Abstract: A method for operating an electronic device, the method including: displacing a rollable touchscreen to a first position along a first direction, a first side of the rollable touchscreen being mounted in a housing, the rollable touchscreen being configured to be rolled into or unrolled out of the housing along the first direction, detecting an active electrode at a first location on the rollable touchscreen, the active electrode being mounted in the housing, and determining the first position of the rollable touchscreen based on the first location, the first positing being indicative of a fractional amount of the rollable touchscreen outside the housing.

Abstract: A method for operating an electronic device includes rotating a first portion of a flexible touchscreen with respect to a second portion of the flexible touchscreen around a folding axis; detecting, self-capacitances sensed in a folding area of the flexible touchscreen using a self-sensing scan, where a first side of the folding area is on the first portion of the flexible touchscreen and a second side of the folding area is on the second portion of the flexible touchscreen, and the first side and the second side are separated by a folding axis; determining, a current strength sensed by the flexible touchscreen in the folding area based on the self-capacitances in the folding area; and determining, a folding angle of the first portion of the flexible touchscreen with the second portion of the flexible touchscreen around the folding axis based on the current strength in the folding area.

Abstract: A method for operating an electronic device, the method including: displacing a rollable touchscreen to a first position along a first direction, a first side of the rollable touchscreen being mounted in a housing, the rollable touchscreen being configured to be rolled into or unrolled out of the housing along the first direction, detecting an active electrode at a first location on the rollable touchscreen, the active electrode being mounted in the housing, and determining the first position of the rollable touchscreen based on the first location, the first positing being indicative of a fractional amount of the rollable touchscreen outside the housing.

Abstract: A device for identifying a road surface includes: storage for storing a deep learning-based road surface model; and a controller configured to identify a type of a road surface on which a vehicle is currently traveling, using the road surface model. The device for identifying a road surface can identify a type of a road surface on which the vehicle is traveling based on deep learning and control the terrain mode of the vehicle based on the identified type of the road surface. The type of the road surface on which the vehicle is traveling may be identified with a high accuracy and an optimal terrain mode may be set, thereby improving not only travel stability but also riding comfort of the vehicle.