Abstract: Disclosed in the present invention is a dual-rotor microfluidic energy capturing and power generating device based on a piezoelectric effect. An inner ring of blades and an outer ring of blades are coaxially and movably sleeved, and rotate relatively. Sheet-like magnetic piezoelectric components and steel magnets are provided in an annular gap between the inner ring of blades and the outer ring of blades. Magnetic piezoelectric components are connected to an inner peripheral surface of the outer ring of blades, the magnetic piezoelectric components are magnetically repulsive to the steel magnets, and the outer sides of the magnetic piezoelectric components are axially arranged. The inner ring of blades and the outer ring of blades rotate relatively to drive the magnetic piezoelectric components and the steel magnets to rotate relatively, and further drive the magnetic piezoelectric components to oscillate to generate mechanical energy which is then converted into electric energy.

Abstract: Disclosed is a method for repairing a null pointer exception performed by a computing device including a processor, which includes: obtaining an original program; and obtaining, by using a classification model, a patch program from the original program by repairing an error of the original program; and, in which the classification model may be trained in advance by using a null processing pattern dataset obtained from at least one program.

Abstract: Disclosed is a secondary battery separator including a cellulose coating layer containing cellulose nanofibers and cellulose nanocrystals on a porous support. The secondary battery separator has a light weight, excellent air permeability and excellent puncture strength, and thus can provide a lithium secondary battery with excellent physical properties, including ion conductivity, wettability with an electrolyte and heat stability.

Abstract: Disclosed herein is a system providing a mixed reality combination system that pairs augmented reality technology and an inertial measurement unit sensor with 3D printed objects such that user motions tracked by the inertial measurement unit as the user interacts with the 3D printed object is reflected in a virtual environment display of dynamic 3D imagery and augmented reality imagery.

Abstract: In analog-to-digital conversion, a plurality of stages configured in a sequence to sequentially decide a plurality of bits in successive-approximation, each of the plurality of stages configured to operate in response to a corresponding clock among a plurality of clocks, and decide a corresponding bit among the plurality of bits from a corresponding positive pulse among a plurality of positive pulses and a corresponding negative pulse among a plurality of negative pulses; and a plurality of clock generating circuits respectively corresponding to a plurality of first stages among the plurality of stages, each of the plurality of clock generating circuit configured to generate the corresponding clock of a corresponding stage among the plurality of first stages based on an operation of a previous stage among the plurality of stages, the previous stage being before the corresponding stage in the sequence.

Abstract: A method of determining a predicted trajectory of a moving object.

Abstract: The present invention relates to a pixel circuit, a display device using the same, and a method of manufacturing the same. A pixel circuit according to the present technology is a pixel circuit including a light-emitting diode and can include a light-emitting diode, the pixel circuit including a switching transistor connected to a node at which a scan line and a signal line intersect each other, a driving transistor which receives a data voltage in the signal line through the switching transistor and converts the data voltage to a current to be supplied to the light-emitting diode, and a storage capacitor which maintains a voltage applied by the switching transistor, wherein at least one of the driving transistor and the storage capacitor includes a layer formed of a ferroelectric.

Abstract: The present invention relates to a quantum federated learning system that performs federated learning on the basis of at least one observation value input from a single-hop offloading environment, and the system includes: a global server for initializing parameters of a quantum slimmable neural network (QSNN) model and transmitting the initialized quantum slimmable neural network model to at least one local device; and the at least one local device for inputting the at least one observation value into the initialized quantum slimmable neural network model to train the quantum slimmable neural network model, and transmitting the parameters of the trained quantum slimmable neural network model to the global server side. Through the system, the environmental epidemiology problems of the federated learning performed in conventional computing, such as communication channel conditions and energy limitations over time can be solved.

Abstract: A computer-implemented method of training a neural network to improve a characteristic of a protein comprises collecting a set of amino acid sequences from a database, compiling each amino acid sequence into a three-dimensional crystallographic structure of a folded protein, training a neural network with a subset of the three-dimensional crystallographic structures, identifying, with the neural network, a candidate residue to mutate in a target protein, and identifying, with the neural network, a predicted amino acid residue to substitute for the candidate residue, to produce a mutated protein, wherein the mutated protein demonstrates an improvement in a characteristic over the target protein. A system for improving a characteristic of a protein is also described. Improved blue fluorescent proteins generated using the system are also described.

Abstract: Vertically integrated superconductor/semiconductor heterostructures that comprise the necessary components of a quantum computer, which could enable integrated on-chip quantum computing at millikelvin temperatures, are disclosed.

Abstract: An intelligent detection system includes an image module, a target detection module, and a physical model processing module. The target detection module runs a scanning mode on the target object and controls the image module to capture target images of the target object with different physical properties under the scanning mode. The scanning mode is allowed to be based on luminescence or thermal radiation emitted by variation of time, voltage, current, or illumination. The physical model processing module receives the target images and carries out an image stacking process with each target image based on different physical properties, generating a detection result image through physical formula of electronic circuit in cooperation with a chromaticity coordinate diagram.

Abstract: According to aspects of embodiments described herein, an optical computing device (100) comprises a plurality of input waveguides (101), a photonic meta-surface (103) in contact with the plurality of input waveguides, and a plurality of output waveguides (105) in contact with the transformational meta-surface. The optical computing device may be configured to perform a mathematical operation may be a matrix multiplication. A computer-implemented method (300) of designing an optical computing device includes a plurality of input waveguides, a photonic meta-surface, and a plurality of output waveguides, the method includes exciting each input waveguide one-by-one (303) and measuring the energy at the input region and the output region (305) to determine a contribution of the current input waveguide. The sum of contributions (307) of all input waveguides are compared to a target transformation (315) to determine a loss value used to update a set of design parameters (317).

Abstract: An electron beam modulation device according to the present disclosure includes a light source configured to emit laser light, a polarization conversion part including a modulation plane configured to modulate a direction of polarization and an intensity of the laser light emitted from the light source, and a condensing element configured to condense the laser light passing through the modulation plane. In a focal plane of the condensing element, a round light is generated that includes a trapping potential region in which electrons included in an electron beam incident on the focal plane are attracted and a repulsive potential region in which the electrons are repelled. The round light has rotational symmetry about an optical axis of the laser light when viewed along the optical axis.

Abstract: A method is provided, including: applying a magnetic field according to a two-qubit gate operation performed with a quantum device; transmitting a voltage signal to a gate structure, arranged above first and second quantum dots in the quantum device, to generate a coupling signal that includes a first sine squared wave; and performing, by the magnetic field and the coupling signal, the two-qubit gate operation to the first and second qubits in the first and second quantum dots.

Abstract: An apparatus for detecting defects using deep learning-based surface inspection, includes: a normal image-based unsupervised training unit configured to, based on a normal image, train a reconstructive sub-network which allows an original image to be obtained through an image with noise inserted, and a discriminative sub-network which allows detection of a noise area; and a defective image-based online supervised training unit configured to, based on a defective image, train a reconstructive sub-network which inputs an inspection target image to generate a flaw removal image, and a discriminative sub-network which extracts a flaw area image by comparing a difference between the inspection target image and the flaw removal image.

Abstract: The present disclosure relates to a method and apparatus for sharing driving intent between autonomous and manually driven vehicles. The method of sharing driving intent between autonomous and manually driven vehicles according to an embodiment of the present disclosure includes: (a) acquiring vehicle control information of a vehicle by a driver and driver behavior information of the driver, and creating a global path of the vehicle on the basis of input by the driver; (b) creating driving intent information of the driver about the vehicle on the basis of the global path, the vehicle control information, and the driver behavior information; (c) creating a local path of the vehicle on the basis of the driving intent information and driving intent information about a surrounding vehicle received from the surrounding vehicle; and (d) outputting the local path of the vehicle.

Abstract: A multi-view human action recognition method based on hypergraph learning, comprising acquiring video data from P views, and further comprising the following steps: pre-processing the video data; constructing spatial hypergraphs based on joint information; constructing temporal hypergraphs based on the joint information; performing feature learning of the spatial hypergraphs and the temporal hypergraphs using hypergraph neural networks; and extracting higher order information represented by the hypergraphs, and performing action recognition of human actions.

Abstract: Provided is a method for etching an atomic layer. The method for etching the atomic layer includes providing a substrate to a process chamber, wherein the process chamber comprises a first chamber part and a second chamber part, and the substrate is provided in the second chamber part, generating adsorption gas plasma in the first chamber part, adsorbing radicals of the adsorption gas plasma to the substrate so as to form a treatment layer, generating etching gas plasma in the first chamber part, and allowing electrons and ions of the etching gas plasma to be alternately incident into the treatment layer so as to perform desorption of the treatment layer.

Abstract: A system can apply a Global Reduced Order Modeling (ROM), a Zonal ROM, or a Layer-By-Layer analysis method to accelerate computations of a static displacement field of a substrate during modeling of thermo-compression bonding. The system fully takes into account a glass transition of dielectric substrates as well as nonhomogeneity of the various layers.

Abstract: The “Artificial Intelligence-Based Virtual Assistant for Hospital Management” is a transformative system revolutionizing healthcare administration. Employing adaptive machine learning algorithms, the virtual assistant dynamically optimizes appointment scheduling, considering historical data, real-time factors, and patient preferences. Natural language processing ensures seamless communication with patients and facilitates dynamic rescheduling. An intelligent patient record management module securely organizes unstructured data, enhancing access for healthcare professionals. The system automates billing and insurance processing with AI oversight, identifying discrepancies and ensuring regulatory compliance. Real-time resource allocation dynamics optimize bed utilization based on predictive analytics. An emergency response coordination module interprets and prioritizes messages, initiating protocols during critical events. The system offers an adaptable user interface with real-time analytics.