Abstract: A noise filtering circuit, a digital to analog converter and an electronic device are provided. The noise filtering circuit comprises a first amplifier configured to receive a bias voltage at a first input terminal, receive a bias output voltage at a second input terminal though a feedback path, and compensate for a difference between the bias voltage and the bias output voltage; a first transistor connected to an output of the first amplifier and having a gate to which an off-voltage is applied; a first capacitor connected to the first transistor; a second capacitor connected to the output of the first amplifier; a second transistor connected to the second capacitor and having a gate to which an off-voltage is applied, and a second amplifier having an input terminal connected to the first capacitor and a second input terminal connected to the second transistor.

Abstract: A multilayer ceramic capacitor includes a body including a dielectric layer and first and second internal electrodes disposed with the dielectric layer interposed therebetween and disposed in point-symmetry with each other; first and second connection electrodes penetrating the body in a direction perpendicular to the dielectric layer and connected to the first internal electrode; third and fourth connection electrodes penetrating the body in a direction perpendicular to the dielectric layer and connected to the second internal electrode; first and second external electrodes disposed on both surfaces of the body and connected to the first and second connection electrodes; and third and fourth external electrodes spaced apart from the first and second external electrodes and connected to the third and fourth connection electrodes, and the first and second internal electrodes include a region in which an electrode is not disposed.

Abstract: A compression type ramen cooker according to an embodiment includes a main frame including side plates formed on both sides thereof, an upper main bar connecting the upper portions of the side plates, and a lower main bar connecting the lower portions of the side plates, a cooking vessel part rotatably mounted on the inner sides of the side plates, a compression chamber mounted above the upper main bar to seal or open the cooking vessel part by moving up and down, an induction heater rotatably mounted on the rear side of the cooking vessel part to heat the cooking vessel part, a ramen discharging part for discharging cooked ramen from the cooking vessel part, and a drain mounted in the lower end of the side plates on both sides to discard the water used for cleaning the cooking vessel part after cooking.

Abstract: The present invention relates to a neural network training method. The neural network training method using a de-identified image according to the present invention comprises the steps of: encoding a first image represented by a n-th dimensional vector into a predetermined p-th dimensional second image; decoding the second image into a q-th dimensional third image; inputting the third image to a neural network and extracting object information included in the third image; and training at least one parameter information used for computation in the neural network by using the extracted object information. According to the present invention, de-identified images are used for neural network training such that neural network training is made possible without using personal information included in images.

Abstract: An identification card authenticity determining method based on deep learning according to the disclosure for automatically checking authenticity of an identification card includes: inputting identification card data to a feature information extraction model to extract pieces of feature information, expressing an indicator for checking authenticity of the identification card, from the identification card data; inputting the extracted pieces of feature information to a classification model to determine authenticity of the identification card; and when it is determined that the identification card is falsified, extracting a class activation map, where a falsification region of the identification card data is activated, from the pieces of feature information.

Abstract: A method for recognizing an identification (ID) card of a user terminal using deep learning includes extracting an outline region of the ID card included in an input image using a first neural network model, modifying the ID card image of the image to a reference form using at least a partial value of the extracted outline region, and determining whether the modified ID card image is valid and recognizing text information in the valid ID card image. A recognition rate of the ID card may be increased by modifying an ID card image into a reference form using a trained neural network model.

Abstract: An identification card authenticity determining method based on deep learning according to the disclosure for automatically checking authenticity of an identification card includes: inputting identification card data to a feature information extraction model to extract pieces of feature information, expressing an indicator for checking authenticity of the identification card, from the identification card data; inputting the extracted pieces of feature information to a classification model to determine authenticity of the identification card; and when it is determined that the identification card is falsified, extracting a class activation map, where a falsification region of the identification card data is activated, from the pieces of feature information.

Abstract: Provided are an apparatus and method for providing a personal assistant service based on automatic translation. The apparatus for providing a personal assistant service based on automatic translation includes an input section configured to receive a command of a user, a memory in which a program for providing a personal assistant service according to the command of the user is stored, and a processor configured to execute the program. The processor updates at least one of a speech recognition model, an automatic interpretation model, and an automatic translation model on the basis of an intention of the command of the user using a recognition result of the command of the user and provides the personal assistant service on the basis of an automatic translation call.

Abstract: Disclosed is an airbag apparatus capable of safely protecting a passenger by increasing the width of an airbag cushion in a leftward-rightward direction when the passenger comes into contact with the airbag cushion. The airbag apparatus includes: a first tether disposed inside the airbag cushion in a forward-backward direction, and a second tether disposed inside the airbag cushion in the leftward-rightward direction and connected to the first tether. When the passenger comes into contact with the airbag cushion upon deployment of the airbag cushion, the width of the airbag cushion in the leftward-rightward direction is increased.

Abstract: The present disclosure relates to an electric vehicle charging connector, in which a heat sink is provided to effectively cool the electric vehicle charging connector during charging of an electric vehicle, heat generated in an interface between an electric vehicle cable and a conductor of a connector connection unit is quickly absorbed by the heat sink, and a cooling fluid flows in the heat sink to cool an electric vehicle charging cable and is collected in an electric vehicle charger after cooling of the heat sink, and an electric vehicle charging assembly.

Abstract: The present disclosure relates to an electric vehicle charging connector, which includes a cooling chamber through a cooling fluid passes to cool an electric vehicle charging cable and is configured to connect in the cooling chamber a terminal of the electric vehicle charging connector and a conductor of the electric vehicle charging cable so as to quickly cool heat generated on the terminal of the electric vehicle charging connector and a conductor connection part of the electric vehicle charging cable in the cooling chamber, and to collect the cooling fluid from the cooling chamber to an electric vehicle charger, and an electric vehicle charging assembly.

Abstract: A multilayer ceramic electronic component includes: a ceramic body and first and second external electrodes on external surfaces of the ceramic body. The ceramic body includes first and second internal electrodes facing each other with dielectric layers interposed therebetween. The ceramic body includes an active portion in which capacitance is formed and cover portions on upper and lower surfaces of the active portion, respectively. The ratio of the thickness of the first and second external electrodes to the thickness of the cover portion is proportional to the inverse of the cube root of the ratio of the Young's Modulus of each of the first and second external electrodes to the Young's modulus of the cover portion.

Abstract: A multilayer ceramic electronic component includes: a ceramic body and first and second external electrodes on external surfaces of the ceramic body. The ceramic body includes first and second internal electrodes facing each other with dielectric layers interposed therebetween. The ceramic body includes an active portion in which capacitance is formed and cover portions on upper and lower surfaces of the active portion, respectively. The ratio of the thickness of the first and second external electrodes to the thickness of the cover portion is proportional to the inverse of the cube root of the ratio of the Young's Modulus of each of the first and second external electrodes to the Young's modulus of the cover portion.

Abstract: The present disclosure relates to an electric vehicle charging cable, in which a cooling fluid is used to efficiently cool heat generated during charging of an electric vehicle, a thermally conductive material is added as well as the cooling fluid to improve cooling performance, thereby preventing damage to inner components due to heat, safety accidents such as fire are prevented, and a diameter of the cable is minimized.

Abstract: A method for recognizing an identification (ID) card of a user terminal using deep learning includes extracting an outline region of the ID card included in an input image using a first neural network model, modifying the ID card image of the image to a reference form using at least a partial value of the extracted outline region, and determining whether the modified ID card image is valid and recognizing text information in the valid ID card image. A recognition rate of the ID card may be increased by modifying an ID card image into a reference form using a trained neural network model.

Abstract: A multilayer ceramic electronic component includes: a ceramic body and first and second external electrodes on external surfaces of the ceramic body. The ceramic body includes first and second internal electrodes facing each other with dielectric layers interposed therebetween. The ceramic body includes an active portion in which capacitance is formed and cover portions on upper and lower surfaces of the active portion, respectively. The ratio of the thickness of the first and second external electrodes to the thickness of the cover portion is proportional to the inverse of the cube root of the ratio of the Young's Modulus of each of the first and second external electrodes to the Young's modulus of the cover portion.

Abstract: A distributed learning method of a server managing an ID card recognition model includes releasing an ID card recognition model performing at least one convolution operation on an ID card image captured in a user terminal so that the user terminal uses the ID card recognition model, receiving update information of the ID card recognition model generated according to an ID card recognition result of the released ID card recognition model, and verifying the update information received from the user terminal and updating the ID card recognition model using the verified update information.

Abstract: The polyamide-imide copolymer according to the present disclosure makes it possible to provide a polyamide-imide film that is excellent in both thermal stability and mechanical properties, and is capable of realizing anisotropy.

Abstract: A superconductive cable including: a former; one or more superconductive conductor layers provided outside the former; an insulating layer configured to surround the superconductive conductor layers; and one or more superconductive shield layers provided on an exterior of the insulating layer. The superconductive conductor layers and the superconductive shield layers are formed of superconductive wire rods, and each superconductive wire rod includes a metal substrate layer and a plurality of superconducting layers deposited on the metal substrate layer using a superconductive material. In the superconductive wire rods of an outermost superconductive conductor layer among the superconductive conductor layers and an innermost superconductive shield layer among the superconductive shield layers, each of the metal substrate layers and the superconducting layers are disposed in opposite directions.

Abstract: The present disclosure relates to a polyimide-based block copolymer and a polyimide-based block copolymer film including the same. The polyimide-based block copolymer according to the present disclosure makes it possible to provide a polyimide-based film having low haze and yellow index value while exhibiting excellent transparency.