Abstract: The present invention discloses a multi-energy complementary system for a co-associated abandoned mine and a use method. The multi-energy complementary system for a co-associated abandoned mine includes a mining mechanism, a grouting mechanism and an energy mechanism. In the present invention, the mining of coal and uranium resources is realized through the mining mechanism, the subsidence and seepage reduction of the stratum is realized through the grouting mechanism, and the effective utilization of waste resources is realized through the energy mechanism. Finally, with the efficient cooperation of the three mechanisms, safe and efficient development and utilization of co-associated resources in the full life cycle are realized, and the purposes of green and efficient mining of coal and uranium resources and secondary development of a coal seam goaf are achieved, thereby facilitating the realization of dual-carbon goals and the development of low-carbon green energy.

Abstract: The present invention provides a method for determining hydrogen sulfide (H2S) by headspace single-drop liquid phase microextraction and intelligent device colorimetry, which comprises: taking a silver-gold core-shell triangular nanosheet (Ag@Au TNS) as a nanodetection probe, in combination with an analysis method of headspace single-drop microextraction (HS-SDME), specifically extracting H2S volatilized from a sample to be detected by the nanodetection probe, and detecting H2S in the extracted sample with the help of the photographing function of an intelligent device and a color picking software. Compared with the prior art, the present invention adopts intelligent device colorimetry, with the limit of detection of about 65 nM and the linear range of 0.1-100 ?M, and the established method can be applied to the determination of H2S in actual samples such as egg white, milk and other opaque samples, and has the advantages of few procedures, simple operation, high detection efficiency and the like.

Abstract: A shift-register unit, a grid driving circuit and a displaying device, which relates to the technical field of displaying. In the present disclosure, the oxide-semiconductor layers of the oxide thin-film transistors may be delimited into regions according to the total channel widths and the channel lengths required by the oxide thin-film transistors in the shift-register unit, wherein the sum of the widths of the independent semiconductor branches obtained by the delimitation is equal to the required total channel width. Accordingly, one oxide thin-film transistor can realize the required total channel width by using the one or more semiconductor branches, to ensure the normal operation of the oxide thin-film transistor, whereby the oxide-semiconductor layers of the different oxide thin-film transistors can be configured differently, to realize the purpose of reducing the border frame of the displaying device.

Abstract: Certain aspects of the present disclosure provide techniques and apparatus for improved machine learning. Voice data from a first user is received. In response to determining that the voice data includes an utterance of a defined keyword, a user verification score is generated by processing the voice data using a first user verification machine learning (ML) model, and a quality of the voice data is determined. In response to determining that the user verification score and determined quality satisfy one or more defined criteria, a second user verification ML model is updated based on the voice data.

Abstract: Certain aspects of the present disclosure provide techniques for training and using machine learning models to predict locations of stationary and non-stationary objects in a spatial environment. An example method generally includes measuring, by a device, a plurality of signals within a spatial environment. Timing information is extracted from the measured plurality of signals. Based on a machine learning model, the measured plurality of signals within the spatial environment, and the extracted timing information, locations of stationary reflection points and locations of non-stationary reflection points in the spatial environment are predicted. One or more actions are taken by the device based on predicting the locations of stationary reflection points and non-stationary reflection points in the spatial environment.

Abstract: Certain aspects of the present disclosure provide techniques and apparatus for a training and using machine learning models in multi-device network environments. An example computer-implemented method for network communications performed by a host device includes extracting a feature set from a data set associated with a client device using a client-device-specific feature extractor, wherein the feature set comprises a subset of features in a common feature space, training a task-specific model based on the extracted feature set and one or more other feature sets associated with other client devices, wherein the feature sets associated with the other client devices comprise one or more subsets of features in the common feature space, and deploying, to each respective client device of a plurality of client devices, a respective version of the task-specific model.

Abstract: A method for interaction between devices based on a pointing operation and an electronic device. The electronic device may be a mobile phone or the like. In the method, a pointing operation performed by a user from a handheld device to a target device is detected via an acceleration sensor, a gyroscope, an IMU, a camera, or the like of the handheld device, and a wireless positioning function of the handheld device is triggered. When it is identified that an axis of the handheld device intersects or approximately intersects with the target device, at least one type of feedback such as visual feedback, sound feedback, and vibration may be provided on the handheld device and/or the target device, login account information and device information of the target device are transmitted to the handheld device, and a target device control window is displayed on the handheld device.

Abstract: An implementation method of an intelligent question-answering system for prostate cancer includes: acquiring lifestyle data for prostate cancer based on a preset first data source; using the lifestyle data for prostate cancer as metadata to construct a lifestyle knowledge base; constructing a lifestyle knowledge graph based on a preset second data source and the lifestyle knowledge base; and fusing the lifestyle knowledge base and the lifestyle knowledge graph to obtain the intelligent question-answering system for prostate cancer. The intelligent question-answering system for prostate cancer can help clinicians, medical staff, scientific researchers, and patients, as well as the general public, to acquire objective lifestyle data conveniently and efficiently, and accurately assess the impact on prostate cancer.

Abstract: A picture processing method and a video decoder are provided in the disclosure. In this disclosure, a joint asymptotic feature of a boundary to-be-filtered is determined according to sample values of samples at two sides of the boundary to-be-filtered. The joint asymptotic feature can truly reflect whether the boundary to-be-filtered is a real boundary. Whether to filter the boundary to-be-filtered is determined according to the joint asymptotic feature.

Abstract: The invention relates to a sensor system for checking a vein pattern. The sensor system comprises a first light source that is configured to emit during operation across the entire surface electromagnetic waves with wavelengths in the near infrared range, which are absorbed by hemoglobin. Furthermore, the sensor system comprises a second light source that is configured to emit during operation across the entire surface electromagnetic waves with wavelengths in the range of visible light. Furthermore, the sensor system comprises a camera with a first camera chip that is configured to record reflected electromagnetic waves with wavelengths in the near infrared range and to convert them into a corresponding infrared image, and with a second camera chip that is configured to record reflected electromagnetic waves with wavelengths in the range of visible light and to convert them into a corresponding photographic image.

Abstract: The invention relates to a sensor system for checking a vein pattern. The sensor system comprises a first light source that is configured to emit during operation across the entire surface electromagnetic waves with wavelengths in the near infrared range, which are absorbed by hemoglobin. Furthermore, the sensor system comprises a second light source that is configured to emit during operation across the entire surface electromagnetic waves with wavelengths in the range of visible light. Furthermore, the sensor system comprises a camera with a first camera chip that is configured to record reflected electromagnetic waves with wavelengths in the near infrared range and to convert them into a corresponding infrared image, and with a second camera chip that is configured to record reflected electrom agnetic waves with wavelengths in the range of visible light and to convert them into a corresponding photographic image.

Abstract: Systems and methods for fitting a wearable heads-up display (WHUD) to a subject are described. Imaging data representative of at least a portion of the subject's head with one or more gaze positions of the eyes is obtained from a plurality of cameras. One or more models representative of the subject's head are generated and a set of features is recognized in the one or more models. One or more models of the WHUD are also obtained based on WHUD data stored in memory. One or more simulations are performed positioning one or more WHUD models in proximity to at least one subject model based at least in part on the set of features recognized in the subject model. A fit of a WHUD to the subject is evaluated based at least in part on a determination regarding whether the simulation satisfies one or more of a set of criteria.

Abstract: Systems and methods for fitting a wearable heads-up display (WHUD) to a subject are described. Imaging data representative of at least a portion of the subject's head with one or more gaze positions of the eyes is obtained from a plurality of cameras. One or more models representative of the subject's head are generated and a set of features is recognized in the one or more models. One or more models of the WHUD are also obtained based on WHUD data stored in memory. One or more simulations are performed positioning one or more WHUD models in proximity to at least one subject model based at least in part on the set of features recognized in the subject model. A fit of a WHUD to the subject is evaluated based at least in part on a determination regarding whether the simulation satisfies one or more of a set of criteria.

Abstract: A camera unit and method of control are described. The camera unit has a camera flash sub-unit configurable to emit flash light having an adjustable characteristic. A camera sensor sub-unit generates raw color data when exposed to light for processing into a digital image. The camera unit also includes a camera controller for coordinating operation of the camera flash sub-unit and the camera sensor sub-unit. The camera controller monitors one or more ambient light characteristics in a vicinity of the camera unit. Prior to receiving a command instructing the camera unit to generate the digital image, the camera controller repeatedly configures the camera flash sub-unit based on the monitored ambient light characteristics to adjust the characteristics of the emitted flash light. Once the camera controller receives the command, the camera sensor sub-unit is instructed to expose an image sensor using the pre-adjusted camera flash light to increase illumination.

Abstract: A method for building a depth map is operable on a mobile device having a single camera integrated therewith. The method includes capturing a plurality of images of a given view using movement of the mobile device between images, capturing data regarding the movement of the mobile device during capture of the plurality of images, determining a relative position of the mobile device corresponding to each of the plurality of images, and building a depth map using the plurality of images and the relative position corresponding to each of the plurality of images.

Abstract: Image capture systems, devices, and methods that automatically focus on objects in the user's field of view based on where the user is looking/gazing are described. The image capture system includes an eye tracker subsystem in communication with an autofocus camera to facilitate effortless and precise focusing of the autofocus camera on objects of interest to the user. The autofocus camera automatically focuses on what the user is looking at based on gaze direction determined by the eye tracker subsystem and one or more focus property(ies) of the object, such as its physical distance or light characteristics such as contrast and/or phase. The image capture system is particularly well-suited for use in a wearable heads-up display to capture focused images of objects in the user's field of view with minimal intervention from the user.

Abstract: Image capture systems, devices, and methods that automatically focus on objects in the user's field of view based on where the user is looking/gazing are described. The image capture system includes an eye tracker subsystem in communication with an autofocus camera to facilitate effortless and precise focusing of the autofocus camera on objects of interest to the user. The autofocus camera automatically focuses on what the user is looking at based on gaze direction determined by the eye tracker subsystem and one or more focus property(ies) of the object, such as its physical distance or light characteristics such as contrast and/or phase. The image capture system is particularly well-suited for use in a wearable heads-up display to capture focused images of objects in the user's field of view with minimal intervention from the user.

Abstract: Image capture systems, devices, and methods that automatically focus on objects in the user's field of view based on where the user is looking/gazing are described. The image capture system includes an eye tracker subsystem in communication with an autofocus camera to facilitate effortless and precise focusing of the autofocus camera on objects of interest to the user. The autofocus camera automatically focuses on what the user is looking at based on gaze direction determined by the eye tracker subsystem and one or more focus property(ies) of the object, such as its physical distance or light characteristics such as contrast and/or phase. The image capture system is particularly well-suited for use in a wearable heads-up display to capture focused images of objects in the user's field of view with minimal intervention from the user.

Abstract: A device with a front facing camera having two discrete focus positions is provided. The device comprises: a chassis comprising a front side; a display and a camera each at least partially located on the front side; the camera adjacent the display, the camera facing in a same direction as the display, the camera configured to: acquire video in a video mode; acquire an image in a camera mode; and, discretely step between a first and second focus position, the first position comprising a depth of field (“DOF”) at a hyperfocal distance and the second position comprising a DOF in a range of about 20 cm to about 1 meter; and, a processor configured to: when the camera is in the camera mode, automatically control the camera to the first position; and, when the camera is in the video mode, automatically control the camera to the second position.

Abstract: A camera unit and method of control are described. The camera unit has a camera flash sub-unit configurable to emit flash light having an adjustable characteristic. A camera sensor sub-unit generates raw color data when exposed to light for processing into a digital image. The camera unit also includes a camera controller for coordinating operation of the camera flash sub-unit and the camera sensor sub-unit. The camera controller monitors one or more ambient light characteristics in a vicinity of the camera unit. Prior to receiving a command instructing the camera unit to generate the digital image, the camera controller repeatedly configures the camera flash sub-unit based on the monitored ambient light characteristics to adjust the characteristics of the emitted flash light. Once the camera controller receives the command, the camera sensor sub-unit is instructed to expose an image sensor using the pre-adjusted camera flash light to increase illumination.