Abstract: A position estimation method is performed by a position estimation apparatus, wherein the position estimation method includes switching from a UWB static domain to a UWB dynamic domain when a startup state of a vehicle is switched from OFF to ON; operating one or more anchors mounted on the vehicle; and estimating a position of a tag by performing at least one of an advanced trilateration measurement (ATM) algorithm and a smart anchor positioning (SAP) algorithm, wherein the one or more anchors and the tag transmit and receive ultra wideband (UWB) pulse waves.

Abstract: A method for forming a semiconductor die, includes forming an interlayer dielectric layer on a substrate having a semiconductor die region, a seal-ring region, and a scribe line region, forming a metal pad and a test pad on the interlayer dielectric layer, forming a passivation dielectric layer on the interlayer dielectric layer, the metal pad, and the test pad, first etching the passivation dielectric layer and the interlayer dielectric layer existing between the seal-ring region and the scribe line region to a predetermined depth using a plasma etching process, second etching the passivation dielectric layer to expose the metal pad and the test pad, forming a bump on the metal pad, and dicing the substrate while removing the scribe line region by mechanical sawing.

Abstract: An airbag system includes a seat belt; at least one airbag disposed in at least a portion of the seat belt; and an inflator connected to the at least one airbag and supplying gas to the airbag so that the airbag is inflatable.

Abstract: Disclosed is a battery module, which includes: a battery cell assembly having at least one battery cell; a module case configured to accommodate the battery cell assembly; and at least one injection hole provided in a bottom portion of the module case to inject a thermally conductive adhesive into the module case.

Abstract: A vehicle includes a user interface; and a controller configured to determine a predicted place where an image is predicted to have been captured according to an output of a place prediction neural network for the image selected by a user, and control the user interface to perform a route guide to the predicted place, wherein the place prediction neural network is learned from an image tagged with place information.

Abstract: Disclosed are an oral film and stick jelly containing glutathione and a milk thistle extract. Provided are an oral disintegrating film, an oral mucosal adhesive film, and a stick jelly that contain glutathione, a milk thistle extract, or the like as an active ingredient, and thus are highly efficacious in improving absorption in the oral mucosa, antioxidant activity, and anti-inflammatory activity, strengthening immunity, and enhancing liver function of humans and companion animals.

Abstract: In the case of a gas in which several gases are mixed, a type and concentration of the gas may be incorrectly measured when measured using only an optical band-pass filter. The invention of the present application is directed to providing a technology in which a plurality of broadband band-pass filters having overlapping regions are provided to calculate a magnitude of absorption for each wavelength band for light passing through each broadband band-pass filter, thereby identifying the presence of a gas of interest and the presence of a gas other than the gas of interest.

Abstract: Disclosed are a method and apparatus for reusing wastewater. The method for reusing wastewater disclosed herein includes: generating a mixed wastewater by mixing multiple types of wastewater (S20); performing a first purification by passing the mixed wastewater through a flocculation-sedimentation unit (S40); performing a second purification by passing an effluent of the flocculation-sedimentation unit through a membrane bioreactor (MBR) (S60); performing a third purification by passing an effluent of the MBR through a reverse-osmosis membrane unit (S80); and reusing an effluent of the reverse-osmosis membrane unit as cooling water or industrial water (S100).

Abstract: Provided is a device for ensembling data received from prediction devices and a method of operating the same. The device includes a data manager, a learner, and a predictor. The data manager receives first and second device prediction results from first and second prediction devices, respectively. The learner may adjust a weight group of a prediction model for generating first and second item weights, first and second device weights, based on the first and second device prediction results. The first and second item weights depend on first and second item values, respectively, of the first and second device prediction results. The first device weight corresponds to the first prediction device, and the second device weight corresponds to the second prediction device. The predictor generates an ensemble result of the first and second device prediction results, based on the first and second item weights and the first and second device weights.

Abstract: A smart anchor-based position estimation method and apparatus are disclosed. The position estimation method, performed by a position estimation apparatus, includes: identifying one or more line-of-sight (LOS) anchors from among one or more anchors mounted in a vehicle; selecting reference anchors from among the one or more LOS anchors; and estimating a position of a tag based on a number of the reference anchors. The reference anchors are selected based on a rate of formation of an ultra-wideband (UWB) link to the tag and accuracy of the estimated position of the tag.

Abstract: A method, apparatus, and system for supplying power during the takeoff and landing of an Urban Air Mobility (UAM) aircraft is disclosed herein. A power supplying method is performed by a power supply system comprising a drone and a hub.

Abstract: Provided are a QT heat treated high carbon hot rolled steel sheet, a high carbon cold rolled steel sheet, a QT heat treated high carbon cold rolled steel sheet, and manufacturing methods thereof, wherein the QT heat treated high carbon hot rolled steel sheet comprises, in weight %, C: 1.0-1.4%, Si: 0.1-0.4%, Mn: 0.1-0.8%, Cr: 0.3-11%, W: 0.05-2.5%, P: 0.03% or less, S: 0.03% or less, Al: 0.02% or less, and the balance being Fe and other inevitable impurities, the average size of carbides being 0.1-20 ?m.

Abstract: A complementary thin film transistor (TFT) includes a substrate and a first TFT and a second TFT disposed on the substrate, wherein a first conductive semiconductor layer of the first TFT and a second gate electrode layer of the second TFT are disposed in the same layer and include the same material.

Abstract: An NFC device that receive a data frame with a start pattern including first and second pattern signals, and a data pattern corresponding to the start pattern. The NFC device comprising an analog-to-digital converter which generates first and second input signals based on the first and second pattern signals, respectively, a modem that includes a first sub-matched filter which multiplies a first match signal by the first and second input signals to respectively calculate first and second result values of the first match signal and multiplies a second match signal by the first and second input signals to respectively calculate first and second result values of the second match signal. The first sub-matched filter determines reception of the start pattern when the first and second result values of the first match signal or the first and second result values of the second match signal exceed a predetermined start pattern threshold.

Abstract: Disclosed herein a method and apparatus for learning a multi-label ensemble based on multi-center prediction accuracy. According to an embodiment of the present disclosure, there is provided a multi-label ensemble learning method comprising: collecting a prediction value for learning data for each of a plurality of prediction models; calculating a prediction error of each of the prediction models using the prediction value of each of the prediction models and a correct answer prediction value; generating a weight label for each of the prediction models based on the prediction error; and learning an ensemble weight prediction model for predicting a weight of each of the prediction models using the weight label.

Abstract: Disclosed are a method and apparatus for selective ensemble prediction based on dynamic model combination. The method of ensemble prediction according to an embodiment of the present disclosure includes: collecting prediction values for input data of each of the prediction models; calculating a model weight of each of the prediction models using a pre-trained ensemble model that uses the prediction value as an input; selecting at least some model weights from the model weights using a predetermined optimal model combination parameter; and calculating an ensemble prediction value for the input data based on the selected model weight and a prediction value of a prediction model corresponding to the selected model weight.

Abstract: Disclosed are a gas detection intelligence training system and an operating method thereof. The gas detection intelligence training system includes a mixing gas measuring device that collects an environmental gas from a surrounding environment, generates a mixing gas based on the collected environmental gas and a target gas, senses the mixing gas by using a first sensor array and a second sensor array under a first sensing condition and a second sensing condition, respectively, and generates measurement data based on the sensed results of the first sensor array and the second sensor array, and a detection intelligence training device including a processor that generates an ensemble prediction model based on the measurement data.

Abstract: Disclosed herein is a method and apparatus for predicting a future state and reliability based on time series data. In the method and the apparatus, a future state is predicted by preprocessing past state data and executing an algorithm based on the preprocessed past state data to generate a trained model, followed by preprocessing current state data and executing an algorithm based on the created trained model, the preprocessed current state data, and the preprocessed past state data.

Abstract: Disclosed is an artificial intelligence apparatus, which includes an episode conversion module that receives an electronic medical record (EMR) of a patient and converts the received EMR into an episode including a condition of the patient, a treatment method, and a treatment history, a patient condition predictive intelligence deep learning module that trains a patient condition predictive intelligence for predicting a following condition of the patient after applying the treatment method, a local policy intelligence reinforcement learning module that performs reinforcement learning of a policy intelligence for planning an optimized treatment path for the patient based on the episode, an optimized treatment path exploration module that plans the optimized treatment path for the patient by using the policy intelligence, and a global policy intelligence management module that updates a global policy intelligence for planning and exploring the optimized treatment path based on the policy intelligence.

Abstract: Provided is a multi-port gas flow rate control apparatus. The multi-port gas flow rate control apparatus includes a gas supply chamber configured to supply a measurement gas input through one gas inflow channel while allowing the measurement gas to diverge into a plurality of flows, a plurality of gas divergence flow channels each having one side connected to the gas supply chamber and configured to transfer the measurement gas flowing through the gas supply chamber to a plurality of gas sensors, respectively, and a gas measurement chamber configured to accommodate the plurality of gas sensors, including the plurality of gas divergence flow channels configured to connect to the gas supply chamber to the plurality of gas sensors to transfer a gas outflow diverging through the gas supply chamber to the plurality of accommodated gas sensors, and configured to discharge the gas outflow sensed by the plurality of gas sensors.