Abstract: A computing device trains a fair machine learning model. A prediction model is trained to predict a target value. For a number of iterations, a weight vector is computed using the bound value based on fairness constraints defined for a fairness measure type; a weight value is assigned to each observation vector based on the target value and a sensitive attribute value; the prediction model is trained with each weighted observation vector to predict the target value; and a conditional moments vector is computed based on the fairness constraints and the target and sensitive attribute values. Conditional moments difference values are computed. When the conditional moments difference values indicate to adjust the bound value, the bound value is updated and the process is repeated with the bound value replaced with the updated bound value until the conditional moments difference values indicate no further adjustment of the bound value is needed.

Abstract: A conductive material composition and a conductive material prepared therefrom are provided. The conductive material composition includes 40-80 parts by weight of disulfide resin having at least one terminal reactive functional group and 20-60 parts by weight of metal material. The terminal reactive functional group is independently acrylate group, methacrylate group, glycidyl group, oxiranyl group, oxetanyl group, or 3,4-epoxycyclohexyl group.

Abstract: A neural architecture search system for generating a neural network includes one or more processors and a memory. The memory includes a generator module, a self-supervised training module, and an output module. The modules cause the one or more processors to generate a candidate neural network by a controller neural network, obtain training data, generate an output by the candidate neural network performing a specific task using the training data as an input, determine a loss value using a loss function that considers the output of the candidate neural network and at least a portion of the training data, adjust the one or more model weights of the controller neural network based on the loss value, and output the candidate neural network. The candidate neural network may be derived from the controller neural network and one or more model weights of the controller neural network.

Abstract: Provided are a system and method for automatically translating characters in an image. In the system for automatically translating characters in an image, a processor determines, after a translation request is input, whether a signal input through an input and output interface is a character region selection signal or an autofocus request signal by analyzing the input signal, acquires a translation target region on the basis of a determination result, recognizes characters in the acquired translation target region, and then translates the recognized characters.

Abstract: The present invention relates to a stacking structure of a superconducting wire. The present invention provides a superconducting wire in which a metal substrate, a buffer layer, a superconducting layer, and a stabilizing layer are stacked, the superconducting wire including: a plurality of wedges which penetrates through the superconducting layer and the buffer layer to connect the stabilizing layer and the metal substrate. According to the present invention, it is possible to provide the superconducting wire of which mechanical strength is improved to have high resistance against to deterioration or delamination. Further, the present invention may provide the superconducting wire which is self-protectable against a quench phenomenon. Further, the present invention may provide the superconducting wire which is suitable for application of a high magnetic field.

Abstract: The present invention discloses a method for determining a content of lost gas in a shale gas content test. The method includes: acquiring a shale core and recording the time required for acquiring the shale core; carrying out a desorption experiment on the shale core to obtain desorption data; acquiring a fitting objective function; fitting the desorption data by using the fitting objective function to obtain fitted desorption data; determining fitting parameters according to the desorption data and the fitted desorption data; correcting the time required for acquiring the shale core according to the fitting parameters; and obtaining the content of lost gas according to the fitting parameters and the corrected time required for acquiring the shale core. The present invention can improve the determining precision of the content of the lost gas.

Abstract: Provided are a high-capacity secondary battery including a cathode including an over-lithiated oxide cathode material or a Ni-rich cathode material; a lithium anode (Li anode); and an electrolyte including a superoxide dismutase mimic catalyst (SODm).

Abstract: A method of forming a structural honeycomb includes cutting and folding a substrate sheet according to predetermined cutting and folding patterns and fold angles that cause the sheet to form a honeycomb having cells that each have at least one face abutting, or nearly abutting, the face of another cell. The honeycomb is then stabilized by joining abutting, or nearly abutting, faces to hold the honeycomb together. The honeycomb may have a prespecified three-dimensional shape. The folding pattern may include corrugation, canted corrugation, or zig-zag folds. Joining may employ fixed and/or reversible joinery, including slotted cross section, tabbed strip, angled strip, integral skin, sewn, or laced. At least some folds may be partially-closed to create bends and twists in the honeycomb structure. Some surfaces of the honeycomb may be covered with a skin or face sheet. The substrate sheet may have flexible electronic traces.

Abstract: Disclosed are methods and apparatuses for image data encoding/decoding. A method for decoding a 360-degree image includes the steps of: receiving a bitstream obtained by encoding a 360-degree image; generating a prediction image by making reference to syntax information obtained from the received bitstream; adding the generated prediction image to a residual image obtained by dequantizing and inverse-transforming the bitstream, so as to obtain a decoded image; and reconstructing the decoded image into a 360-degree image according to a projection format. Therefore, the performance of image data compression can be improved.

Abstract: A system and method for controlling the delivery of ultrasound energy to a subject is provided. In particular, such a system and method are capable of safely disrupting the blood-brain barrier. Ultrasound energy is delivered to produce cavitation of an ultrasound contrast agent at a selected pressure value. An acoustic signal is acquired following cavitation, from which a signal spectrum is produced. The signal spectrum is analyzed for the presence of harmonics, such as subharmonics or ultraharmonics. When subharmonics or ultraharmonics are present, the pressure value is decreased for subsequent sonications. If a previous sonication resulted in no subharmonics or ultraharmonics being generated, then the pressure value may be increased. In this manner, the blood-brain barrier can be advantageously disrupted while mitigating potentially injurious effects of the sonication.

Abstract: An automated calibration system for a workpiece coordinate frame of a robot includes a physical image sensor having a first image central axis, and a controller for controlling the physical image sensor adapted on a robot to rotate by an angle to set up a virtual image sensor having a second image central axis. The first and the second image central axes are intersected at an intersection point. The controller controls the robot to repeatedly move back and forth a characteristic point on the workpiece between these two axes until the characteristic point overlaps the intersection point. The controller records a calibration point including coordinates of joints of the robot, then the controller moves another characteristic point and repeats the foregoing movement to generate several other calibration points. According to the calibration points, the controller calculates relative coordinates of a virtual tool center point and the workpiece to the robot.

Abstract: The present invention discloses a Lung condition monitoring device for performing ultrafast detection of humidity level in exhaled air while breathing out and therefrom detect condition of the human lungs in real time. The Lung 5 condition monitoring device comprises a mouthpiece for forcibly exhaling air there through, one or more humidity sensor to measure the variable electrical resistance based on level of adsorption of water molecules thereon of the humidity content of exhaled air and real time monitoring unit operatively connected to said humidity sensor and having correlating means for correlating 10 the change in humidity level and related variation in the electrical resistance due to exhalation to peak flow rate of the exhaled air for monitoring lung condition.

Abstract: Human speech signals that are uttered within an environment are transcribed; the environment includes one or more avatars representing one or more software agents; the human speech signals are directed to at least one of the avatars. At least one non-speech behavioral trace is obtained within the environment; the trace is representative of non-speech behavior directed to the at least one of the avatars. The transcribed human speech signals and the at least one non-speech behavioral trace are forwarded to the one or more software agents. A proposed act is obtained from at least one of the agents; responsive thereto, a command is issued to cause the avatar corresponding to the software agent from which the proposed act is obtained to emit synthesized speech and to act visually in accordance with the proposed act.

Abstract: This application relates to a method and apparatus for processing a new read-write-operation instruction added to an instruction set to maximize the performance of processing-in-memory (PIM). The read-write-operation instruction performs reading and writing on an operation result of the PIM by returning the operation result of the PIM to a computer system and, at the same time, writing the operation result to a destination address. An instruction processor in PIM includes a response data selector and a finite state machine to process the read-write-operation instruction. The response data selector includes a selector configured to select one of a response data signal and an operation result, and a three-phase buffer configured to allow or disallow response data. The finite state machine of the instruction processor outputs a response permission signal and a response selection signal for controlling the buffer and the selector.

Abstract: The present invention can synthesize lobaric acid and four analogues thereof, which are five phenolic lichen metabolites isolated from an extract of the Antarctic lichen Stereocaulon alpinum and selectively inhibit PTP1B, by a simple, economic and efficient chemical synthesis method.

Abstract: Provided are an intermetallic compound having high stability and high activity, and a catalyst using the same. A hydrogen storage/release material containing an intermetallic compound represented by formula (1): RTX . . . (1) wherein R represents a lanthanoid element, T represents a transition metal in period 4 or period 5 in the periodic table, and X represents Si, Al or Ge.

Abstract: This application relates to manufacturing of vacuum chambers of nuclear fusion reactors, and more particularly to a method, device and apparatus for machining grooves of poloidal segments of a vacuum chamber of a nuclear fusion reactor, and a computer-readable storage medium. The method includes: collecting three-dimensional (3D) point cloud data of surfaces of individual poloidal segments of the vacuum chamber; performing reverse model reconstruction, based on the three-dimensional point cloud data, to generate an actual 3D model to acquire a sectional view of the vacuum chamber; extracting a cross-reconstruction region between two adjacent poloidal segments; and calculating a target machining allowance of individual poloidal segments according to the cross-reconstruction region and a preset segment boundary to generate a machining strategy for the groove of individual poloidal segments.

Abstract: The present disclosure provides systems and methods to detect occluded objects using shadow information to anticipate moving obstacles that are occluded behind a corner or other obstacle. The system may perform a dynamic threshold analysis on enhanced images allowing the detection of even weakly visible shadows. The system may classify an image sequence as either “dynamic” or “static”, enabling an autonomous vehicle, or other moving platform, to react and respond to a moving, yet occluded object by slowing down or stopping.

Abstract: An image encoding/decoding method and apparatus are provided. An image decoding method performed by an image decoding apparatus of the present invention may comprise decoding an indicator indicating whether or not partition information of a current block is derived from partition information of a corresponding block of the current block, obtaining the partition information of the current block based on the decoded indicator, and partitioning the current block based on the obtained partition information.

Abstract: An image prediction method according to the present invention may comprise: identifying a reference pixel region designated for obtaining correlation information; determining a reference pixel processing configuration on the basis of determination of the availability of the reference pixel region; and performing intra prediction according to the determined reference pixel processing. As described above, performing intra prediction on the basis of the availability of a reference pixel according to the present invention can improve encoding performance.