Abstract: Provided is a device for checking the insulation status of a photovoltaic module, the device including a photovoltaic module, a bridge circuit connected to the photovoltaic module and having two first resistors connected in series and two second resistors connected in series such that the two first resistors and the two second resistors are connected in parallel, a sensor unit detecting a PV voltage of the photovoltaic module and a bridge voltage between a first node as a contact of the two first resistors and a second node as a contact of the two second resistors, a relay connected between the first node or the second node and the ground, a controller closing or opening the relay, and an calculation unit calculating an insulation resistance between the photovoltaic module and the ground based on the PV voltage and the bridge voltage.

Abstract: Hollow spherical particles which include: an inorganic particle layer including ceramic particles and conductive carbon-based particles; and a polymer coating layer surrounding the inorganic particle layer, and in which the inorganic particle layer surrounds an empty inner space to form the hollow spherical particles. A method of manufacturing the hollow spherical particles and a heat-dissipating fluid composition including the hollow spherical particles.

Abstract: A lend moving apparatus includes a circuit board including a mounting groove, an image sensor arranged within the mounting groove of the circuit board, and a first epoxy arranged within the mounting groove. The mounting groove includes a first side surface and a second side surface that face each other, and a third side surface and a fourth side surface that face each other. The circuit board includes at least one application groove provided on the first side surface and/or the second side surface of the mounting groove. The at least one application groove includes an opening opened toward the upper surface of the circuit board. At least a portion of the first epoxy is arranged in the at least one application groove.

Abstract: One embodiment comprises a circuit board including a mounting groove, an image sensor arranged within the mounting groove of the circuit board, and a first epoxy arranged within the mounting groove, wherein the mounting groove comprises a first side surface and a second side surface that face each other, and a third side surface and a fourth side surface that face each other, the circuit board includes at least one application groove provided on the first side surface and/or the second side surface of the mounting groove, the at least one application groove includes an opening opened toward the upper surface of the circuit board, and at least a portion of the first epoxy is arranged in the at least one application groove.

Abstract: A signal simulator and a signal simulation method are provided. A radar signal (electromagnetic wave) is received. The received electromagnetic wave is converted and the converted electromagnetic wave is transmitted. The electromagnetic wave may be converted based on a respiratory cycle. A signal reflected by respiration of a living creature is simulated to easily verify the biosignal sensing performance of a radar device.

Abstract: An apparatus for evaluating radar performance according to the present disclosure includes a chamber part having a hollow shape having a space therein, a radar installed on a first inner surface of the chamber part, and at least one reflector part installed on a second inner surface of the chamber part and configured to reflect radio waves emitted from the radar.

Abstract: A signal simulator and a signal simulation method are provided. A radar signal (electromagnetic wave) is received. The received electromagnetic wave is converted and the converted electromagnetic wave is transmitted. The electromagnetic wave may be converted based on a respiratory cycle. An electromagnetic signal reflected by respiration of a living creature is simulated to easily verify the biosignal sensing performance of a radar device.

Abstract: Provided is an impedance spectroscopy analytical method for concrete using machine learning. The method comprises identifying electrical flow through moisture and a conductive ion present in concrete using a node that measures electricity based on electrochemical impedance spectroscopy (EIS); generating a theoretical equivalent circuit model comprising a conductive path reflecting the electrical flow: normalizing an equivalent circuit reflecting a concrete microstructure based on an impedance experiment using the theoretical equivalent circuit model; and generating a predictive model for estimating a water and cement ratio from a parameter value of the equivalent circuit through machine learning. Accordingly, the accuracy and reliability of estimating the microstructure and mixing ratio of the cement-based material can be increased.

Abstract: One embodiment of a camera module comprises: a lens barrel including at least one lens; a bobbin for accommodating the lens barrel; and a fixing part disposed between the lens barrel and the bobbin so as to inhibit the lens barrel from being separated from the bobbin, wherein one surface, which makes surface contact with the fixing part, of the bobbin can include a bobbin provided so as to protrude toward the lens barrel.

Abstract: An artificial neural network (ANN) quantization method for generating an output ANN by quantizing an input ANN includes: obtaining second parameters by quantizing first parameters of the input ANN; obtaining a sample distribution from an intermediate ANN in which the obtained second parameters have been applied to the input ANN; and obtaining a fractional length for the sample distribution by quantizing the obtained sample distribution.

Abstract: An exhaust gas treatment apparatus is disclosed. An exhaust gas treatment apparatus according to an embodiment of the present disclosure includes a gas/liquid reactor contacting a treatment liquid and an emission-regulated gas included in exhaust gas, to absorb and remove the emission-regulated gas; a treatment liquid supply tank supplying the treatment liquid to the gas/liquid reactor; and a gas/liquid separation treatment liquid regeneration unit regenerating a waste treatment liquid in which the emission-regulated gas is absorbed, into a treatment liquid in which the emission-regulated gas is not absorbed, and supplying the regenerated treatment liquid to the treatment liquid supply tank, wherein the gas/liquid separation treatment liquid regeneration unit includes a gas/liquid separation membrane through which a gas can pass but a liquid cannot pass.

Abstract: An artificial neural network (ANN) system includes a processor, a virtual overflow detection circuit and a data format controller. The processor performs node operations with respect to a plurality of nodes included in each layer of an ANN to obtain a plurality of result values of the node operations and performs a quantization operation on the obtained plurality of result values based on a k-th fixed-point format for a current quantization of the each layer to obtain a plurality of quantization values. The virtual overflow detection circuit generates a virtual overflow information indicating a distribution of valid bit numbers of the obtained plurality of quantization values. The data format controller determines a (k+1)-th fixed-point format for a next quantization of the each layer based on the generated virtual overflow information. An overflow and/or an underflow are prevented efficiently by controlling the fixed-point format using the virtual overflow.

Abstract: A method and apparatus for generating a fixed point neural network are provided. The method includes selecting at least one layer of a neural network as an object layer, wherein the neural network includes a plurality of layers, each of the plurality of layers corresponding to a respective one of plurality of quantization parameters; forming a candidate parameter set including candidate parameter values with respect to a quantization parameter of the plurality of quantization parameters corresponding to the object layer; determining an update parameter value from among the candidate parameter values based on levels of network performance of the neural network, wherein each of the levels of network performance correspond to a respective one of the candidate parameter values; and updating the quantization parameter with respect to the object layer based on the update parameter value.

Abstract: An exhaust gas treatment apparatus is disclosed. An exhaust gas treatment apparatus according to an embodiment of the present disclosure includes a gas/liquid reactor contacting a treatment liquid and an emission-regulated gas included in exhaust gas, to absorb and remove the emission-regulated gas; a treatment liquid supply tank supplying the treatment liquid to the gas/liquid reactor; and a gas/liquid separation treatment liquid regeneration unit regenerating a waste treatment liquid in which the emission-regulated gas is absorbed, into a treatment liquid in which the emission-regulated gas is not absorbed, and supplying the regenerated treatment liquid to the treatment liquid supply tank, wherein the gas/liquid separation treatment liquid regeneration unit includes a gas/liquid separation membrane through which a gas can pass but a liquid cannot pass.

Abstract: Hollow spherical particles which include: an inorganic particle layer including ceramic particles and conductive carbon-based particles; and a polymer coating layer surrounding the inorganic particle layer, and in which the inorganic particle layer surrounds an empty inner space to form the hollow spherical particles. A method of manufacturing the hollow spherical particles and a heat-dissipating fluid composition including the hollow spherical particles.

Abstract: Disclosed are an anti-PD-L1 antibody or an antigen-binding fragment thereof, a nucleic acid encoding the same, a vector including the nucleic acid, a cell transformed with the vector, a method for producing the antibody or an antigen-binding fragment thereof, a pharmaceutical composition for preventing or treating cancer containing the same, and a composition for co-administration with an antibody other than an antibody binding to PD-L1, containing the same.

Abstract: The present invention relates to an anti-VISTA antibody or an antigen binding fragment thereof, a nucleic acid coding for the same, a vector carrying the nucleic acid, a cell transformed with the vector, a method for preparing the antibody or an antigen binding fragment thereof, a composition for prevention or treatment of autoimmune disease, comprising the same antibody, and a composition for concurrent administration in combination with a PD-1 antibody or PD-L1 antibody.

Abstract: The present invention relates to an antibody, which specifically binds to tyrosine-protein kinase receptor TIE-2 (TIE2) so as to possess functions of blood vessel normalization and stabilization through receptor phosphorylation, and relates to: an anti-TIE2 antibody; a nucleic acid encoding same; a vector comprising the nucleic acid; a cell transformed with the vector; a method for preparing the antibody; an agent for stabilizing blood vessels and a composition for treating angiogenesis-associated diseases, both of which comprise the antibody; and a composition for co-administration with a pharmaceutical composition for tumor or cancer treatment and with a composition other than an antibody binding to TIE2.

Abstract: The present disclosure relates to an antibody to inhibit function of Angiopoietin-2 (Ang-2) by binding specifically to Ang-2, and directed to an anti-Ang2 antibody, a nucleic acid encoding the same, a vector comprising the nucleic acid, a cell transformed with the vector, a method of preparing the same, an angiogenesis inhibitor comprising the same, a composition for treating a disease related with Angiopoietin-2 activation and/or overproduction, a composition for diagnosing a disease related with Angiopoietin-2 activation and/or overproduction, a composition for treating eye disease or a composition for preventing or treating a cancer, and a composition for combining an antibody binding to Ang2 with a drug other than the antibody binding to Ang2.

Abstract: A method of generating a fixed-point type neural network by quantizing a floating-point type neural network, includes obtaining, by a device, a plurality of post-activation values by applying an activation function to a plurality of activation values that are received from a layer included in the floating-point type neural network, and deriving, by the device, a plurality of statistical characteristics for at least some of the plurality of post-activation values. The method further includes determining, by the device, a step size for the quantizing of the floating-point type neural network, based on the plurality of statistical characteristics, and determining, by the device, a final fraction length for the fixed-point type neural network, based on the step size.