KAIST

A method of fabricating a physically unclonable function (PUF) device includes fabricating a PUF device including a structure in which a ferromagnetic layer and a nonmagnetic layer are disposed, and controlling magnetic anisotropy of the ferromagnetic layer and forming a random magnetic domain in the ferromagnetic layer, based on application of a voltage to the PUF device.

A spike signal generation device according to one embodiment of the present disclosure includes a signal input unit, an artificial neuron, and a signal output unit. The signal input unit includes a signal input electrode, and an input signal conversion unit. The signal input electrode is configured to transmit an input spike signal output from a signal output neuron. The input spike signal is input from the input signal conversion unit, and an input signal different from the input spike signal is output. The artificial neuron includes an input semiconductor unit, an output semiconductor unit, and a floating semiconductor unit. The input semiconductor unit is configured to receive the input signal. In case that a voltage applied to the input semiconductor unit is greater than or equal to a reference voltage, an output spike signal is output from the output semiconductor unit. The signal output unit includes an output signal conversion unit, and a signal output electrode. The output signal conversion unit receives the output spike signal to output an output signal different from the output spike signal. The signal output electrode is configured to transmit the output signal to the signal input neuron.

The present invention relates to systems (1) and method for temperature prediction for secondary battery. A system (1) may include: a storage device (11, 21, 25) configured to store a plurality of first data sets related to heat transfer of at least one battery; and a control device (13, 24, 27) configured to generate a plurality of second data sets by performing dimensionless conversion on the plurality of first data sets, and train an artificial neural network-based temperature prediction model based on the plurality of second data sets, wherein temperature of a target battery is predicted based on the artificial neural network-based temperature prediction model, and an aspect of the target battery is modified based on the temperature.

The present disclosure relates to a three-dimensional memory device and a method of manufacturing the same. The three-dimensional memory device includes a substrate, a capping layer, a fluorine-doped layer, a channel layer, a memory layer, and a gate electrode layer. The capping layer extends on the substrate in a vertical direction. The fluorine-doped layer surrounds side surfaces of the capping layer, extends in the vertical direction, and includes a fluorine-containing polymer. The channel layer surrounds side surfaces of the fluorine-doped layer, extends in the vertical direction, and includes polycrystalline silicon in which fluorine is diffused. The memory layer surrounds side surfaces of the channel layer and extends in the vertical direction. The gate electrode layer surrounds side surfaces of the memory layer.

The present disclosure relates to a bidirectional actuator having curvature in the width direction and a method for manufacturing the bidirectional actuator.

The present invention relates to a method and an apparatus for quantitatively estimating biological pigments for static or dynamic measurement of biological pigments such as melanin and hemoglobin using polarization images captured for a dynamic biological object, and includes deriving polarization data using polarization images captured for the dynamic biological object, optimizing biological pigment parameters based on the polarization data, and quantitatively estimating biological pigments in a static state or a dynamic state based on the biological pigment parameters optimized on a per-frame basis.

A federated learning method includes sampling at least one edge device to perform a federated learning based on a local data of each of edge devices, aggregating a result of a local learning by performing the local learning of the edge device which is sampled, generating a global weight based on the result of the local learning which is aggregated, and broadcasting to each of the edge devices.

The present disclosure relates to a composition for underfill and a method for manufacturing the same, in which spherically and temporarily fixed high-thermal-conductivity shape-memory polymer composite particles are applied to the underfill, maintaining low viscosity during the filling process, and, at curing temperature, the particles are restored to a high aspect ratio shape to form a thermally conductive network between ceramics, thereby simultaneously achieving low filling viscosity and high heat dissipation performance.

Disclosed are a method for transmission waveform design for an orthogonal time frequency space (OTFS)-based integrated sensing and communication (ISAC) system, and sensing technology. A sensing method for an OTFS-based ISAC system may include generating a time-frequency domain sample including a delay pilot and a Doppler pilot each that is designed in the time-frequency domain based on data to be transmitted; generating an integrated sensing and communication (ISAC) signal through an orthogonal frequency division multiplexing (OFDM) modulation technique for the generated time-frequency domain sample; and acquiring a sensing parameter through a reflected signal received from a sensing target as the generated ISAC signal is transmitted.

An embodiment of the disclosure provides a magnetic device capable of field-free spin-orbit torque, including: a fixed ferromagnetic layer; a free ferromagnetic layer; and an insulating layer positioned between the fixed ferromagnetic layer and the free ferromagnetic layer, wherein the free ferromagnetic layer includes: an in-plane magnetic anisotropy ferrimagnetic layer; a perpendicular magnetic anisotropy free ferromagnetic layer; and a non-magnetic layer positioned between the in-plane magnetic anisotropy ferrimagnetic layer and the perpendicular magnetic anisotropy free ferromagnetic layer.