Abstract: The present disclosure discloses a battery monitoring data management system. According to an embodiment, the system may comprise charge-discharge apparatuses to be connected to batteries and to collect state information of the batteries; charge-discharge apparatus controllers to control the charge-discharge apparatuses and to generate monitoring data from the collected state information; and a monitoring data management device to receive monitoring data generated by the charge-discharge apparatus controllers, to create message groups based on the received monitoring data, to extract alarm data from the message groups, to generate alarm messages based the extracted alarm data, and to transmit the generated alarm messages to at least one of a monitoring server and an administrator terminal.

Abstract: A method of predicting crash performance based on deep learning from vehicle crash acceleration data includes performing, by an input unit, wavelet transform on vehicle crash acceleration data. The method also includes applying wavelet transform data to a pre-trained model. The method also includes concatenating a feature extracted from the pre-trained model with a vehicle crash performance index. The method also includes calculating a crash prediction result in a crash performance model through artificial neural network learning from concatenated data of the vehicle crash performance index and the extracted feature.

Abstract: Provided is a display device comprising a display panel, a metal plate on a bottom surface of the display panel, the metal plate including a first surface facing the bottom surface of the display panel and a second surface opposite to the one surface, and a fingerprint sensor overlappingly disposed on the second surface of the metal plate, wherein the metal plate includes an indentation groove recessed in a direction toward the first surface from the second surface of the metal plate, and the fingerprint sensor is disposed on the second surface of the metal plate on which the indentation groove is formed.

Abstract: A method for manufacturing a semiconductor package, for example a package-on-package type semiconductor device package. As non-limiting examples, various aspects of this disclosure provide high-yield methods for manufacturing a package-on-package type semiconductor package, or a portion thereof.

Abstract: A battery module which uses a flexible printed circuit board (FPCB) to provide a transmission path of information on the voltage or temperature thereof sensed by a bus bar. The battery module may have a smaller size in a height direction compared to a case of using a rigid printed circuit board (RPCB) or a wire instead of the FPCB to provide the transmission path of the information on the voltage or temperature, and may thus have improved energy efficiency per volume.

Abstract: A polarizing plate and an optical display apparatus including the same are provided. A polarizing plate includes a polarizer; and a first retardation layer and a second retardation layer sequentially stacked on a lower surface of the polarizer, and the first retardation layer has an in-plane retardation of about 180 nm to about 220 nm at a wavelength of about 550 nm; and the second retardation layer has an in-plane retardation of about 80 nm to about 100 nm at a wavelength of about 550 nm.

Abstract: A positive electrode active material includes a nickel-based lithium transition metal oxide containing nickel in an amount of 60 mol % or more based on a total number of moles of metals excluding lithium, wherein cobalt is included in an amount of greater than 0 ppm to 6,000 ppm or less on a surface of the nickel-based lithium transition metal oxide. A method of preparing the positive electrode active material, a positive electrode for a lithium secondary battery and a lithium secondary battery which includes the positive electrode active material are also provided.

Abstract: A printed circuit board includes a glass layer, a through-hole penetrating through the glass layer, a seed layer provided along an inner wall of the through-hole, and a through-via disposed on the seed layer and filling the through-hole. The seed layer includes a carbon-based conductive material.

Abstract: Disclosed are a method and apparatus for estimating a camera pose. The method includes dividing an input image received from a camera into a plurality of regions, dividing the plurality of regions into a first detection zone for detecting a vanishing point or a roll and a second detection zone for detecting the roll, extracting a representative feature from features of the input image by using a filter generated in advance for each of the plurality of regions based on a design value of the camera, calculating a feature error of each of the first detection zone and the second detection zone based on the representative feature, and estimating a pose of the camera based on the feature error.

Abstract: A substrate processing apparatus using plasma capable of efficiently controlling the selectivity ratio of a silicon layer and an oxide layer is provided. The substrate processing apparatus comprises a first space disposed between an electrode and an ion blocker; a second space disposed between the ion blocker and a shower head; a processing space under the shower head for processing a substrate; a first supply hole for providing a first gas for generating plasma to the first space; a second supply hole for providing a second gas to be mixed with an effluent of the plasma to the second space; and a first coating layer formed on a first surface of the shower head facing the second space, not formed on a second surface of the shower head facing the processing space, and containing nickel.

Abstract: In a driving video recording system and a manufacturing method of the same, the driving video recording system includes a camera module for monitoring the surroundings of a vehicle; then first memory for storing a video transmitted from the camera module; the second memory for storing a computer program for controlling the storage of the video; and a controller including a processor for executing the computer program, wherein the computer program includes a contamination classification deep training network model, and the processor is configured to determine whether video data obtained by the camera module through the deep-learning network model is contaminated through the execution of the computer program.

Abstract: A printed circuit board includes an insulating layer, a circuit pattern on the insulating layer, and a surface treatment layer on the circuit pattern. The surface treatment layer includes a bottom surface having a width wider than a width of a top surface of the circuit pattern.

Abstract: The present technology includes a semiconductor memory device. The semiconductor memory device includes a first channel pattern and a second channel pattern each extending in a vertical direction and facing each other, a channel separation pattern formed between the first channel pattern and the second channel pattern and extending in the vertical direction, a stack including conductive patterns each surrounding the first channel pattern, the second channel pattern, and the channel separation pattern and stacked apart from each other in the vertical direction, a first memory pattern disposed between each of the conductive patterns and the first channel pattern, and a second memory pattern disposed between each of the conductive patterns and the second channel pattern.

Abstract: An apparatus and method for predicting a friction coefficient of a road surface are disclosed. The apparatus includes a microphone that obtains a sound signal around a tire mounted on a vehicle, and a controller that estimates a state and a type of the road surface and a degree of tire wear corresponding to the sound signal around the tire based on a first deep learning model, estimates a peak adjustment factor and an initial inclination adjustment factor of a friction coefficient curve corresponding to the state and the type of the road surface and the degree of tire wear based on a second deep learning model, and predicts the friction coefficient based on the peak adjustment factor and the initial inclination adjustment factor of the friction coefficient curve.

Abstract: A positive electrode active material for a secondary battery includes a lithium composite transition metal oxide comprising nickel (Ni), cobalt (Co), and manganese (Mn), and a coating layer formed on surfaces of the lithium composite transition metal oxide, wherein, in the lithium composite transition metal oxide, an amount of the nickel (Ni) in a total amount of transition metals is 60 mol % or more, and an amount of the manganese (Mn) is greater than an amount of the cobalt (Co), and the coating layer comprises a compound represented by Formula 1: LiaM1bOc ??[Formula 1] wherein, M1 includes aluminum (Al) and at least one selected from the group consisting of boron (B), silicon (Si), titanium (Ti), and phosphorus (P), and 1?a?4, 1?b?8, and 1?c?20.

Abstract: A non-contact interface device for a vehicle and a method for controlling the same, may display an operation system menu for a driver and passengers to operate various kinds of devices of the vehicle as a hologram, enable a user to operate the displayed operation system menu in a non-contact manner by use of the user's finger or the like, and provide the user with a tactile feedback for a non-contact operation, so that the user can recognize whether to have operated the menu.

Abstract: A method and an apparatus for estimating a vanishing point are provided. The method includes receiving an input image and estimating a vanishing point for the input image, using an artificial intelligence network pre-trained by vanishing point ground truth (GT) data generated based on real image data. Estimating the vanishing point includes estimating a depth map or an optical flow map for the input image, estimating a gradient map for the depth map or the optical flow map, and estimating the vanishing point for the input image based on the gradient map and a predetermined reference gradient map.

Abstract: Provided is a polarizing plate and an optical display device comprising same, the polarizing plate comprising: a polarizer; and a stack body of a first phase difference layer and a second phase difference layer stacked on a lower surface of the polarizer, wherein the first phase difference layer satisfies Equation 1, the second phase difference layer satisfies Equation 2, the sum of an in-plane phase difference at a wavelength of 550 nm between the first phase difference layer and the second phase difference layer is about 100 nm to about 110 nm, the sum of a thickness direction phase difference at a wavelength of 550 nm between the first phase difference layer and the second phase difference layer is about ?30 nm to about +10 nm, and the second phase difference layer comprises a fluorine-based phase difference layer.

Abstract: Provided is an apparatus and method for encoding/decoding a moving picture based on adaptive scanning. The moving picture apparatus and method can increase a compression rate based on adaptive scanning by performing intra prediction onto blocks of a predetermined size, and scanning coefficients acquired from Discrete Cosine Transform (DCT) of a residue signal and quantization differently according to the intra prediction mode. The moving picture encoding apparatus includes: a mode selector for selecting and outputting a prediction mode; a predictor for predicting pixel values of pixels to be encoded of an input video based on the prediction mode to thereby output a residue signal block; a transform/quantization unit for performing DCT onto the residue signal block and quantizing the transformed residue signal block; and an encoder for adaptively scanning and encoding the quantized residue signal block based on the prediction mode.

Abstract: A method is disclosed for predicting chroma components based on reconstructed luma information. In the disclosed embodiments, to intra-predict the current chroma block, the video decoding device decodes the prediction mode indicator of the current chroma block and checks whether the prediction mode indicator utilizes the Direct Mode_Intra Block Copy mode (DM_IBC mode) for the current chroma block. If the current chroma block utilizes DM_IBC mode, the video decoding device uses the block vector of the previously reconstructed corresponding luma block to generate the prediction block of the current chroma block.