Abstract: A method for manufacturing a semiconductor device and a semiconductor device produced thereby. For example and without limitation, various aspects of this disclosure provide methods for manufacturing a semiconductor device, and semiconductor devices produced thereby, that comprise forming an interposer including a reinforcement layer.

Abstract: An apparatus for predicting performance of a wheel in a vehicle: includes a learning device that generates a latent space for a plurality of two-dimensional (2D) wheel images based on a convolutional autoencoder (CAE), extracts a predetermined number of the plurality of 2D wheel images from the latent space, and learns a dataset having the plurality of 2D wheel images and performance values corresponding to the plurality of 2D wheel images; and a controller that predicts performance for the plurality of 2D wheel images based on a performance prediction model obtained by the learning device.

Abstract: A manufacturing method for a semiconductor device, includes: forming a first gate structure and a second gate structure on a substrate; forming a deep trench isolation (DTI) hard mask on the first and second gate structures; forming a deep trench isolation disposed between the first gate structure and the second gate structure; depositing a first undoped oxide layer in the deep trench isolation; performing a first etch-back process on the first undoped oxide layer to remove a portion of the undoped oxide layer; depositing a first deep trench isolation (DTI) gap-fill layer on a remaining portion of the undoped oxide layer, and performing a second etch-back process on the first DTI gap-fill layer; depositing a second DTI gap-fill layer to seal the deep trench isolation, and forming a planarized second DTI gap-fill layer by a planarization process; and depositing a second undoped layer on the planarized second DTI gap-fill layer.

Abstract: A method of manufacturing a monolayer-structured ultra-thin antireflection sticker through a soft lithography process and an ultra-thin antireflection sticker, includes: a master mold manufacturing step in which a master mold having a plurality of semi-spherical mold structures on an upper surface thereof is manufactured; a sticker material coating step in which a sticker material is coated onto the upper surface of the master mold; a cured film covering step in which a cured film is disposed to cover an upper surface of the sticker material; a curing step in which the sticker material is cured; a cured film removal step in which the cured film is removed from the sticker material; and a sticker peeling step in which the cured sticker material is peeled off the master mold, the peeled-off sticker material forming a monolayer-structured ultra-thin antireflection sticker having a plurality of antireflective structures on an upper surface thereof.

Abstract: An example device for correcting an image includes a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory, wherein the processor, by executing the one or more instructions, is further configured to obtain an image including a plurality of objects, identify the plurality of objects in the image based on a result of using one or more neural networks, determine a plurality of correction filters respectively corresponding to the plurality of identified objects, and correct the plurality of objects in the image, respectively, by using the plurality of determined correction filters.

Abstract: A user terminal apparatus is provided. The user terminal apparatus includes a camera configured to obtain a captured image; a storage configured to store a food intake history; a processor configured to extract a food image from the captured image and determine a food type of a food item included in the captured image based on feature information of the extracted food image and the previously stored food intake history; and a display configured to display relevant information about the determined food type.

Abstract: Disclosed is an oil drain plug apparatus, wherein the oil drain plug apparatus is mounted on an automobile component containing a fluid including oil, and the oil drain plug apparatus includes a mounting portion provided on the automobile component and having a fastening hole penetrating the mounting portion; a plug portion configured to be inserted into the fastening hole and mounted on the mounting portion; and a sealing portion for sealing a gap between the mounting portion and the plug portion, wherein the sealing portion is mounted on the mounting portion while being coupled to the plug portion, wherein the plug portion includes a plug configured to be inserted into the automobile component through the fastening hole when coupled to the mounting portion; and a cap extending from the plug so as to be exposed to the outside of the automobile component through the fastening hole when coupled to the mounting portion, and the plug portion is rotated after being inserted into the fastening hole, and is fixed t

Abstract: A system for experience educating vital signals and cardiopulmonary according to the present disclosure may include: a vital signal measurement unit having a vital signal measurement probe; a human body model formed in the shape of a human body; and a processor setting a vital signal output mode on the basis of the vital signal recognition information when the vital signal measurement data and the vital signal recognition information are input, checking output forma information corresponding to the vital signal output mode, and controlling an output unit and a display unit respectively to output and display the vital signal measurement data in correspondence to the output format information.

Abstract: An example device for correcting an image includes a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory, wherein the processor, by executing the one or more instructions, is further configured to obtain an image including a plurality of objects, identify the plurality of objects in the image based on a result of using one or more neural networks, determine a plurality of correction filters respectively corresponding to the plurality of identified objects, and correct the plurality of objects in the image, respectively, by using the plurality of determined correction filters.

Abstract: Disclosed is an invention related to a wavelength selective switch for multiple units.

Abstract: Provided is an adduct represented by Formula 1: A.PbY2.Q??(1) wherein A is an organic or inorganic halide, Y is F?, Cl?, Br? or I? as a halogen ion, and Q is a Lewis base including a functional group containing a nitrogen (N), oxygen (O) or sulfur (S) atom with an unshared pair of electrons as an electron pair donor. The Lewis base is maintained more stable in the lead halide adduct. Therefore, the use of the adduct enables the fabrication of a perovskite solar cell with high conversion efficiency.

Abstract: A wavelength selective switch (WSS) apparatus. The WSS apparatus includes: a plurality of input/output port groups; a plurality of switching lens parts; a plurality of wedge prism parts; a beam expansion part; a wavelength dispersion part; a path combining part configured to combine the groups of the plurality of light beams transmitted from the switching lens parts on the dispersion axis; an imaging optic part; and a switching unit including a plurality of surface areas corresponding to the plurality of input/output port groups, the switching unit being configured to angular displace an angle of a selected wavelength on the switching axis such that the wavelength selected from multiple wavelength channels of an input port selected independently for each of the plurality of input/output port groups is transmitted to an output port of the plurality of input/output port groups selected independently.

Abstract: Disclosed is an oil drain plug apparatus, wherein the oil drain plug apparatus is mounted on an automobile component containing a fluid including oil, and the oil drain plug apparatus includes a mounting portion provided on the automobile component and having a fastening hole penetrating the mounting portion; a plug portion configured to be inserted into the fastening hole and mounted on the mounting portion; and a sealing portion for sealing a gap between the mounting portion and the plug portion, wherein the sealing portion is mounted on the mounting portion while being coupled to the plug portion, wherein the plug portion includes a plug configured to be inserted into the automobile component through the fastening hole when coupled to the mounting portion; and a cap extending from the plug so as to be exposed to the outside of the automobile component through the fastening hole when coupled to the mounting portion, and the plug portion is rotated after being inserted into the fastening hole, and is fixed t

Abstract: An electronic apparatus is provided. The electronic apparatus includes a camera configured to obtain a user image by capturing an image of a user, a memory configured to store one or more instructions, and a processor configured to execute the one or more instructions stored in the memory, wherein the processor is further configured to, by executing the one or more instructions, recognize the user from a face region of the user image by using a first recognition model learned based on face information of a plurality of users, extract additional feature information regarding the recognized user from the user image, allow the first recognition model to additionally learn based on the extracted additional feature information, recognize the user from a person region of the user image by using an additionally learned second recognition model, and output a recognition result of the second recognition model.

Abstract: A method for controlling an electronic device including at least one processor configured to encrypt an image and upload the encrypted image to an external server by using an artificial intelligence neural network model is provided. The method includes receiving a command to upload an image to the external server; acquiring, based on the command, a characteristic value corresponding to the image by inputting the image and a key of the electronic device into a neural network model trained to identify characteristic values based on an input image and an input key; and transmitting identification information of the image and the characteristic value to the external server.

Abstract: A wavelength selective switch (WSS) apparatus. The WSS apparatus includes: a plurality of input/output port groups; a plurality of switching lens parts; a plurality of wedge prism parts; a beam expansion part; a wavelength dispersion part; a path combining part configured to combine the groups of the plurality of light beams transmitted from the switching lens parts on the dispersion axis; an imaging optic part; and a switching unit including a plurality of surface areas corresponding to the plurality of input/output port groups, the switching unit being configured to angular displace an angle of a selected wavelength on the switching axis such that the wavelength selected from multiple wavelength channels of an input port selected independently for each of the plurality of input/output port groups is transmitted to an output port of the plurality of input/output port groups selected independently.

Abstract: An electronic apparatus includes a processor configured to obtain a plurality of images, extract deep features with respect to the plurality of images using a feature extraction model, classify the plurality of images into certain groups using the extracted deep features and a classification model, display a result of the classification on the display, determine whether the feature extraction model and/or the classification model need to be updated using the result of the classification, and train and update at least one of the feature extraction model and the classification model based on a result of the determination. The electronic apparatus may estimate a deep feature of an image using a rule-based or artificial intelligence (AI) algorithm. When the deep feature of the image is estimated using the AI algorithm, the electronic apparatus may use a machine learning, neural network, or deep learning algorithm, or the like.

Abstract: A user terminal apparatus is provided. The user terminal apparatus includes a camera configured to obtain a captured image; a storage configured to store a food intake history; a processor configured to extract a food image from the captured image and determine a food type of a food item included in the captured image based on feature information of the extracted food image and the previously stored food intake history; and a display configured to display relevant information about the determined food type.

Abstract: A user terminal apparatus is provided. The user terminal apparatus includes a camera configured to obtain a captured image; a storage configured to store a food intake history; a processor configured to extract a food image from the captured image and determine a food type of a food item included in the captured image based on feature information of the extracted food image and the previously stored food intake history; and a display configured to display relevant information about the determined food type.

Abstract: A method for controlling an electronic device including at least one processor configured to encrypt an image and upload the encrypted image to an external server by using an artificial intelligence neural network model is provided. The method includes receiving a command to upload an image to the external server; acquiring, based on the command, a characteristic value corresponding to the image by inputting the image and a key of the electronic device into a neural network model trained to identify characteristic values based on an input image and an input key; and transmitting identification information of the image and the characteristic value to the external server.