Abstract: A method for profiling sleep of an individual is provided. The method includes defining a sleep feature space for the individual, measuring a brain wave for the individual during the individual's sleep, and mapping the sleep feature space in response to a comparison of the brain wave and a previous brain wave measurement used to define the sleep feature space. The brain wave may comprise a brain wave spectrum. The sleep feature space may comprise, or be composed of, spectral power and envelope measures. The method also includes modelling the mapped sleep feature space in response to recognized neural network patterns corresponding to each of a plurality of sleep stages derived from recognizing the neural network patterns from the sleep feature space and deriving a sleep profile for the individual from sleep stages determined in response to the modelled mapped sleep feature space and the brain wave of the individual.

Abstract: A computer system for acquiring a control command. The system includes one or more processors in communication with non-transitory data storage media having instructions stored thereon that, when executed by the one or more processors, configure the one or more processors to perform particular steps. The steps include: receiving, at an electroencephalogram (EEG) receiver, baseline EEG data; and acquiring, using a normalisation module, one or more normalisation factors from the baseline EEG data. The steps further include: receiving, at the EEG receiver, stimulated EEG data sensed by one or more EEG sensors; and correlating the stimulated EEG data across the one or more EEG sensors, using a correlation module, to generate one or more correlation coefficients corresponding to one or more stimulation frequencies, each of the one or more stimulation frequencies corresponding to a respective candidate control command.

Abstract: A heat storage unit, at least comprises one single-layer closed case (2) that has at least one heat exchange surface (8, 9) and a non-heat exchange surface; the internal space of the closed housing (2) is filled with a foam skeleton (4); the phase change medium (6) is homogeneous distributed in the voids of the foam skeleton (4), and forms a composite material (02) together with the foam skeleton (4), the composite material has a higher thermal conductivity coefficient than that of the pure phase transition medium (6); vibration particles (3) are made of shape memory alloy, pressed into strips and then filled into the voids of the foam copper frame (4) by filtration; the ultrasonic generator (05) emits ultrasonic to induce the vibration particles (3) to generate vibration, the vibration converts the liquid phase transition medium (6) from natural convection or pure heat conduction to forced convection.

Abstract: The present application provides a flexible display device, including a housing, at least one winding mechanism, a flexible display screen and at least one stretching mechanism. When the flexible display screen is in a first state, the stretching mechanism pulls the winding mechanism to pull the flexible display screen out of the winding mechanism; when the flexible display screen is in a second state, the stretching mechanism pulls the winding mechanism to receive the flexible display screen into the winding mechanism. The flexible display device is smaller in size by winding the flexible display screen in the housing.

Abstract: Systems for providing a multi-tenant threat intelligence service are provided. The system receives threat information from a user including IP addresses, and universal threat information including IP addresses. Modify an in-memory IP address tree using IP addresses received from the user and included in the universal threat information. Compare IP addresses from logs of network activity associated with the user to the in-memory IP address tree, and identify IP addresses included in the IP address tree. Cause matching IP addresses to be sent to the user as representing potentially malicious network activity.

Abstract: The invention discloses an adjusting method and an adjusting device, server and storage medium for a scorecard model, comprising: determining at least one high cardinality variable from multiple candidate independent variables of the scorecard model; determining a rolling variable from the at least one high cardinality variable according to a preset rule, wherein the rolling variable is divided into at least one group; acquiring parameter information of various groups in the at least one group in a preset time and determining WOE values corresponding to the various groups according to the parameter information; and adjusting the scorecard model according to the WOE values corresponding to the various groups and the rolling variable. The rolling variable can be selected into the scorecard model, and the scorecard model can be adjusted by utilizing the rolling variable, so that the accuracy of risk prediction results of the scorecard model is advantageously improved.

Abstract: Systems, methods, and non-transitory computer readable media configured to generate enhanced training information. Training information may be obtained. The training information may characterize behaviors of moving objects. The training information may be determined based on observations of the behaviors of the moving objects. Behavior information may be obtained. The behavior information may characterize a behavior of a given object. Enhanced training information may be generated by inserting the behavior information into the training information.

Abstract: A flexible display panel and a display device are provided. The flexible display panel includes a flexible substrate and a backplate. The backplate includes a bending region and a non-bending region, wherein the bending region includes a plurality of first bending regions and a plurality of second bending regions. The first bending regions and the second bending regions are disposed in a staggered manner, and hardness of the first bending regions is greater than hardness of the second bending regions, which ensures that the backplate has a certain hardness to support the flexible display substrate to relieve stress concentration and reduce a generation rate of cracks.

Abstract: A flexible display device is provided, which includes a housing, a sliding assembly, and a flexible assembly. The flexible assembly includes a first section and a second section, and the second section is positioned in the housing. When the flexible display device is displayed on a small screen, the first section is in a display state, and the second section is in a non-display state. When the flexible display device is displayed on a large screen, the sliding assembly moves the second section from within the housing to a surface of the sliding assembly, the first section and the second section are in the display states.

Abstract: A flexible display device is provided, which includes a housing, a sliding assembly, and a flexible assembly. The flexible assembly includes a first section and a second section, and the second section is positioned in the housing. When the flexible display device is displayed on a small screen, the first section is in a display state, and the second section is in a non-display state. When the flexible display device is displayed on a large screen, the sliding assembly moves the second section from within the housing to a surface of the sliding assembly, the first section and the second section are in the display states.

Abstract: Described is a computer system for establishing an electroencephalogram (EEG) model for discriminating between alert and fatigue states. The computer system comprises a receiver module for receiving an alert state segment illustrative of an alert state of at least one subject, and one or more EEG fatigue data segments illustrative of a fatigue state of the at least one subject. The computer system further comprises a segment selector for selecting one of the one or more fatigue data segments and setting it to be an assumed maximum fatigue segment, an EEG classifier trainer for training an EEG classifier by extracting an EEG feature space from the alert state segment and assumed maximum fatigue segment, and a maximum fatigue identifier module for identifying a segment of maximum fatigue by applying the EEG classifier to each of the fatigue data segments.

Abstract: An adaptive filter system and a method for controlling the adaptive filter system are described herein. The system can includes one or more filters to attenuate incoming light. The one or more filters can be moved by one or more actuators. The method can capture image data from an imaging device through the one or more filters. Information can be determined from the captured image data. The one or more filters can be moved to a position for capturing image data based on the information.

Abstract: A backlight module suitable for thermal coupling with a display panel includes a light guide plate which has a light incident surface and a light exiting surface, a light source configured such that light emitted therefrom enters the light guide plate from the light incident surface and exits the light guide plate from the light exiting surface to irradiate onto the display panel, a heat sink configured to partially accommodate the light guide plate and the light source, and a heat conducting device disposed between the heat sink and the display panel to conduct heat generated from the display panel to the heat sink. The backlight module can quickly dissipate heat generated from a heat concentrated area of the display panel to the outside.

Abstract: A flexible display device is provided. The flexible display device includes a housing assembly, and a flexible display screen located in the housing assembly. The flexible display screen includes a backplate layer, a display panel located on the backplate layer, and a cover-plate layer located on the display panel. When the flexible display screen is curled, the backplate forms a first curling portion, the display panel forms a second curling portion, and the cover-plate layer forms a third curling portion. The first curling portion and the third curling portion are located inside the second curling portion.

Abstract: A flexible display device is provided. The flexible display device includes a housing assembly, and a flexible display screen located in the housing assembly. The flexible display screen includes a backplate layer, a display panel located on the backplate layer, and a cover-plate layer located on the display panel. When the flexible display screen is curled, the backplate forms a first curling portion, the display panel forms a second curling portion, and the cover-plate layer forms a third curling portion. The first curling portion and the third curling portion are located inside the second curling portion.

Abstract: A heat storage unit, at least comprises one single-layer closed case (2) that has at least one heat exchange surface (8, 9) and a non-heat exchange surface; the internal space of the closed housing (2) is filled with a foam skeleton (4); the phase change medium (6) is homogeneous distributed in the voids of the foam skeleton (4), and forms a composite material (02) together with the foam skeleton (4), the composite material has a higher thermal conductivity coefficient than that of the pure phase transition medium (6); vibration particles (3) are made of shape memory alloy, pressed into strips and then filled into the voids of the foam copper frame (4) by filtration; the ultrasonic generator (05) emits ultrasonic to induce the vibration particles (3) to generate vibration, the vibration converts the liquid phase transition medium (6) from natural convection or pure heat conduction to forced convection.

Abstract: Systems, methods, and non-transitory computer readable media configured to generate enhanced training information. Training information may be obtained. The training information may characterize behaviors of moving objects. The training information may be determined based on observations of the behaviors of the moving objects. Behavior information may be obtained. The behavior information may characterize a behavior of a given object. Enhanced training information may be generated by inserting the behavior information into the training information.

Abstract: Systems, methods, and non-transitory computer readable media configured to generate enhanced three-dimensional information. Three-dimensional information of a scene may be obtained. The three-dimensional information may define a three-dimensional point cloud model of the scene. The three-dimensional information may be determined based on distances of the scene from a location. Image information may be obtained. The image information may define one or more images of an object. The object may be identified based on the image information. A three-dimensional point cloud model of the object may be obtained. Enhanced three-dimensional information of the scene may be generated by inserting the three-dimensional point cloud model of the object into the three-dimensional point cloud model of the scene.

Abstract: A system included and a computer-implemented method performed in an autonomous-driving vehicle are described. The system performs: detecting one or more movable objects; determining a target movable object from the one or more detected objects; determining a manner of generating a directed alert notification selectively toward the target movable object; and causing a directed alert notification of the determined manner to be generated toward the target movable object.

Abstract: A computer system for acquiring a control command. The system includes one or more processors in communication with non-transitory data storage media having instructions stored thereon that, when executed by the one or more processors, configure the one or more processors to perform particular steps. The steps include: receiving, at an electroencephalogram (EEG) receiver, baseline EEG data; and acquiring, using a normalisation module, one or more normalisation factors from the baseline EEG data. The steps further include: receiving, at the EEG receiver, stimulated EEG data sensed by one or more EEG sensors; and correlating the stimulated EEG data across the one or more EEG sensors, using a correlation module, to generate one or more correlation coefficients corresponding to one or more stimulation frequencies, each of the one or more stimulation frequencies corresponding to a respective candidate control command.