Abstract: Disclosed are an electrical penetration assembly, a manufacturing method thereof, and an electrical penetration device, which relate to the technical field of electrical penetration.

Abstract: The present application relates to the field of mechanical engineering technologies, and particularly to an unloading device. The unloading device includes a power mechanism, a transmission mechanism, and an execution mechanism that are connected in sequence from top to bottom; wherein the execution mechanism includes a shafting assembly and a turntable assembly that are connected in sequence from top to bottom; wherein the turntable assembly includes an upper auxiliary fence, a middle main disturbance disk, and a lower reclaiming portion that are arranged in sequence from top to bottom. The unloading device provided by the present application is easy to control, and ensures the reclaiming reliability of the spherical materials and the stability of the sphere flow unloading, which can meet the requirements of long life and reliable operation of the unloading device under light load and low speed working conditions and achieve the convenient maintenance.

Abstract: Methods and systems for learnable defect detection for semiconductor applications are provided. One system includes a deep metric learning defect detection model configured for projecting a test image for a specimen and a corresponding reference image into latent space, determining a distance in the latent space between one or more different portions of the test image and corresponding portion(s) of the corresponding reference image, and detecting defects in the one or more different portions of the test image based on the determined distances. Another system includes a learnable low-rank reference image generator configured for removing noise from one or more test images for a specimen thereby generating one or more reference images corresponding to the one or more test images.

Abstract: Methods and systems for performing active learning for defect classifiers are provided. One system includes one or more computer subsystems configured for performing active learning for training a defect classifier. The active learning includes applying an acquisition function to data points for the specimen. The acquisition function selects one or more of the data points based on uncertainty estimations associated with the data points. The active learning also includes acquiring labels for the selected one or more data points and generating a set of labeled data that includes the selected one or more data points and the acquired labels. The computer subsystem(s) are also configured for training the defect classifier using the set of labeled data. The defect classifier is configured for classifying defects detected on the specimen using the images generated by the imaging subsystem.

Abstract: Methods and systems for performing active learning for defect classifiers are provided. One system includes one or more computer subsystems configured for performing active learning for training a defect classifier. The active learning includes applying an acquisition function to data points for the specimen. The acquisition function selects one or more of the data points based on uncertainty estimations associated with the data points. The active learning also includes acquiring labels for the selected one or more data points and generating a set of labeled data that includes the selected one or more data points and the acquired labels. The computer subsystem(s) are also configured for training the defect classifier using the set of labeled data. The defect classifier is configured for classifying defects detected on the specimen using the images generated by the imaging subsystem.

Abstract: Devices and methods for detecting an eating activity occurrence are provided. A device includes a sensor for monitoring movement of a portion of an arm of a subject, and a processor in communication with the sensor for collecting raw data associated with movement of the portion of the arm. The processor is configured to process the raw data and form processed data. The processed data includes a determination of whether an eating activity has occurred. A method includes sensing movement of a portion of an arm of a subject, and processing raw data associated with the movement of the portion of the arm of the subject to form processed data. The processed data includes a determination of whether an eating activity has occurred.

Abstract: A high-temperature gas-cooled reactor steam generating system comprises a plurality of nuclear steam supply systems, a high-pressure cylinder (21), a low-pressure cylinder (22), a condenser (23), a condensate pump (24), a low-pressure heater (25), a deaerator (26), a water supply pump (27), and a high-pressure heater (28) which are sequentially connected end to end to form a close steam loop. On one hand, the inherent safety of the reactor is guaranteed and the generating system is simplified with the inherent safety. On the other hand, the scale economy of the steam engine system and other systems of a whole power station is guaranteed through batch copy, a shared auxiliary system and a scale effect.

Abstract: Devices and methods for detecting an eating activity occurrence are provided. A device includes a sensor for monitoring movement of a portion of an arm of a subject, and a processor in communication with the sensor for collecting raw data associated with movement of the portion of the arm. The processor is configured to process the raw data and form processed data. The processed data includes a determination of whether an eating activity has occurred. A method includes sensing movement of a portion of an arm of a subject, and processing raw data associated with the movement of the portion of the arm of the subject to form processed data. The processed data includes a determination of whether an eating activity has occurred.

Abstract: The present invention relates to a device that can be used in individual weight control protocols that is capable of detecting in real time information with regard to number of bites taken, time between bites, and so forth. The weight control device can detect bites through motion detection via a sensor worn on the wrist or hand of a user. The device can include notification capabilities that can alert a user as to excessive eating speed, excessive amounts of food intake, and the like so as to provide immediate feedback for purposes of weight control.

Abstract: A high-temperature gas-cooled reactor steam generating system comprises a plurality of nuclear steam supply systems, a high-pressure cylinder (21), a low-pressure cylinder (22), a condenser (23), a condensate pump (24), a low-pressure heater (25), a deaerator (26), a water supply pump (27), and a high-pressure heater (28) which are sequentially connected end to end to form a close steam loop. On one hand, the inherent safety of the reactor is guaranteed and the generating system is simplified with the inherent safety. On the other hand, the scale economy of the steam engine system and other systems of a whole power station is guaranteed through batch copy, a shared auxiliary system and a scale effect.

Abstract: The present invention relates to a device that can be used in individual weight control protocols that is capable of detecting in real time information with regard to number of bites taken, time between bites, and so forth. The weight control device can detect bites through motion detection via a sensor worn on the wrist or hand of a user. The device can include notification capabilities that can alert a user as to excessive eating speed, excessive amounts of food intake, and the like so as to provide immediate feedback for purposes of weight control.