Abstract: The present disclosure relates to a time-division multiplexing (TDM)-based multi-channel electrocardiogram measurement apparatus and method, which remove the influence of power line interference in a way to implement multiple channels by using a TDM method, remove an electrode DC offset (EDO) through a pre-charged capacitor, and periodically take a current out or supply a current. The TDM-based multi-channel electrocardiogram measurement apparatus and method robust against power line interference according to the present disclosure have advantages in that it can measure electrocardiogram by using multiple channels with low power and high integration based on TDM, can perform contactless measurement because an EDO is efficiently eliminated and high impedance is satisfied, and has a characteristic robust against power line interference.

Abstract: An electrolyte for a rechargeable lithium battery and a rechargeable lithium battery including the electrolyte, the electrolyte including a non-aqueous organic solvent; a lithium salt; and an additive, wherein the additive includes a compound represented by Chemical Formula 1: in Chemical Formula 1, R1 is a cyano group, a substituted or unsubstituted C2 to C10 alkenyl group, or a substituted or unsubstituted C2 to C10 alkynyl group.

Abstract: According to the present invention, an organic light-emitting composite and a method of manufacturing the organic light-emitting composite are provided. According to exemplary embodiments, an organic light-emitting composite includes a polymer matrix; a first light-emitting material provided in the polymer matrix; and a second light-emitting material provided in the polymer matrix and obtained by oxidizing the first light-emitting material, wherein the second light-emitting material may have the same molecular weight as that of the first light emitting-material.

Abstract: An electronic device is disclosed. The electronic device comprises: a first plate including a first planar region facing a first direction; a second plate comprising a second planar region facing a second direction opposite to the first direction; a housing including a side member surrounding an inner space between the first plate and the second plate; a display disposed between the first plate and the second plate and viewed through the first plate; and an antenna module disposed between the display and the second plate and configured to emit electromagnetic waves to the outside of the housing. The antenna module comprises: an antenna substrate including a first surface facing the first plate, a second surface facing the second plate, and a third surface facing the inner surface of the side member; and a wireless communication circuit disposed on the first surface of the antenna substrate.

Abstract: A polymer electrolyte is provided, which includes a polymer including an ethylene oxide unit; and a lithium salt, wherein the terminal of the polymer is substituted with one to four functional groups selected from the group consisting of a nitrogen compound functional group and phosphorus compound functional group, and the terminal of the polymer and the one to four functional groups are linked by one selected from the group consisting of a C2 to C20 alkylene linker, a C2 to C20 ether linker, and a C2 to C20 amine linker. A method for preparing the same is also provided.

Abstract: A photoacoustic detector system combined with transparent ultrasonic sensors may include: a light source from which an optical oscillation device generates light for generating a photoacoustic phenomenon; a light transmission system which transmits the generated light to a probe side; a probe which accommodates an optical system and the transparent ultrasonic sensor therein; the optical system which adjusts the size, focus, path, and other parameters of the generated light; the transparent ultrasonic sensor which detects an ultrasonic wave generated in an observation area in response to light irradiated to the observation area according to a photoacoustic effect, and is made of a light-transmitting material to transmit the generated light; a data collection device which collects photoacoustic data including the ultrasonic wave detected by the transparent ultrasonic sensor; and a data detection device which analyzes the photoacoustic data and determines whether a specific material is detected in the observatio

Abstract: The present disclosure relates to a method for searching for the shortest path having a minimum link between buildings in a rectilinear polygon obstacle environment, which has been implemented to calculate the shortest path having a minimum link, among the shortest paths based on a Manhattan distance from one building to another building, when buildings are given in a rectilinear polygon obstacle environment. According to the present disclosure, in searching for the shortest path having a minimum link between two buildings, a more efficient data structure can be used in terms of an execution time and memory. A building-building minimum link and shortest path search problem can be solved through only the addition of very small operations by using the segment-point minimum link and shortest path search algorithm which can be easily expanded to the building-building minimum link and shortest path search problem.

Abstract: The present disclosure relates to methods of promoting the mobilization of HSCs to the peripheral blood with an IL-7 protein. In some aspects, the method further comprises administering an additional agent, such as G-CSF and/or AMD3100. In some aspects, the methods disclosed herein are useful in treating a disease or disorder associated with an abnormality of a hematopoietic process.

Abstract: Disclosed are an apparatus for implementing hardware-based dropout for an artificial neural network using a selector element and a neural network circuit system using the same, and an apparatus for implementing hardware-based dropout for an artificial neural network using a selector element according to an exemplary embodiment of the present disclosure may include: a switch unit disposed on the bit line of a hardware-based artificial neural network, and provided to allow a target current which flows to the bit line to selectively flow to a predetermined neuron or ground node constituting the artificial neural network; and a driving unit which includes a selector element turned on or off according to a size relationship of an applied driving voltage and a threshold voltage, and controlling the switch unit.

Abstract: A coacervate including a catechol-substituted anionic polymer; an adhesive including same; and a method for producing the coacervate are described. More specifically, a coacervate formed by mixing a catechol derivative of a mussel adhesive protein and a catechol-substituted anionic polymer; an adhesive including the coacervate; and a method for producing a coacervate are described. The method includes a step of obtaining a catechol-substituted anionic polymer through catechol substitution of an anionic polymer, and a step of mixing the catechol-substituted anionic polymer and a catechol derivative of a mussel adhesive protein.

Abstract: A deep learning-based cooling system temperature prediction apparatus has an artificial neural network modeled by connecting a plurality of artificial neural network submodels each including an input layer, a hidden layer, and an output layer is used. A pump flow speed, a cooling water flow rate, a battery inlet cooling water temperature, a motor inlet cooling water temperature, a radiator outlet cooling water temperature, a battery temperature, and a motor temperature are predicted by inputting at least one of a predetermined control variable, an environment variable, or a time variable to the plurality of artificial neural network submodels in accordance with a physical causality. A number of the plurality of artificial neural network submodels and the control variables or environment variables that are sequentially input to each submodel depend on divisional control and integral control of the cooling system.

Abstract: Proposed is a vibration sensor including: a substrate; a first electrode positioned on the substrate; a support positioned on the first electrode and including a cylindrical hollow hole; and a diaphragm including a thin film positioned on the support and a second electrode positioned on the thin film. According to the present disclosure, it is possible to manufacture a skin-attachable vibration sensor that is attached to a user's neck to detect vibration acceleration in user's neck skin, thus exhibiting a uniform and high sensitivity to a user's voice over the frequency range of the human voice. In addition, the sensor sensitively detects a user's voice through neck skin vibrations rather than through air, thus being free from the influence of external noise or wind, and can recognize the user's voice even in a situation where a user's mouth is covered.

Abstract: Provided is a neural processing device including a noise classifier configured to perform a preprocessing on input data to determine a noise characteristic of the input data, a network selector configured to select one of a plurality of neural networks based on the noise characteristic, and an operator configured to perform inference on the input data based on selected weights corresponding to the selected neural network.

Abstract: A photoacoustic, noninvasive, and continuous blood glucose measurement device includes: a diode laser for irradiating a living body with a pulsed laser signal having a specific wavelength; and an ultrasound transducer for measuring a photoacoustic signal in a form of ultrasonic waves generated by a reaction of the living body with the pulsed laser signal.

Abstract: A user authentication method performed by an authentication management server constituting a block chain network with a target device may comprise receiving, from the target device, a transaction including authentication information of a user and a unique value of the target device; determining a token of the user stored in a smart contract based on the authentication information; and authenticating the user based on validity information of the token, ownership information of the token, and the transaction.

Abstract: Porous carbon particles, and a positive electrode active material and a lithium secondary battery including the same. This may improve the energy density of the lithium secondary battery by applying a porous electrode containing micropores and mesopores and having a uniform size distribution and shape as a positive electrode material.

Abstract: Disclosed herein is a transparent ultrasonic sensor-based ultrasonic optical composite imaging system including at least one light source and a transparent ultrasonic sensor coaxially aligned with light emitted from the light source and allowing the light emitted from the light source to be transmitted therethrough, wherein the transparent ultrasonic sensor is disposed between the light source and a subject.

Abstract: The present disclosure relates to a GIS geographical information retrieval method using a dynamic k-nearest neighbor search algorithm in an obstacle environment, which has been devised to search for geographical information by using a dynamic k-nearest neighbor search algorithm in an obstacle environment. The GIS geographical information retrieval method using a dynamic k-nearest neighbor search algorithm in an obstacle environment has an effect in that it can optimize a search time by considering obstacles as a range of angles, not discrete objects, on the basis of a query point, using the shortest path characteristics at the same time, and assigning priority to neighbors based on the calculated range of angles.

Abstract: A method of implementing a neural network in a neuromorphic apparatus having a memory and processing circuitry, where the method includes dividing, by the processing circuitry, the neural network into a plurality of sub-networks based on a size of a core of the memory to implement the neural network, initializing, by the processing circuitry, a hyper-parameter used in the sub-networks, and training, by the processing circuitry, the sub-networks by using the hyper-parameter.

Abstract: A weight confirmation method for analog synaptic devices of an artificial neural network includes: learning artificial neural network hardware based on artificial analog memory devices using an artificial neural network learning algorithm; after the learning of the artificial neural network hardware, reading a total weight of a pair of synaptic devices; comparing the total weight of the pair of synaptic devices with 0; applying weights to a positive synaptic device and a negative synaptic device of the pair of synaptic devices, respectively; and confirming the total weight of the pair of synaptic devices in accordance with the weight of the positive synaptic device and the weight of the negative synaptic device. A retention problem of analog synaptic devices is overcome and thus the artificial neural network may stably operate.