Abstract: A radiation measurement device may be provided. The radiation measurement device may comprise a scattering component and a first detector. The scattering component may be located between a radiation source of an imaging device and the first detector, and configured to scatter first radiation rays emitted by the radiation source into scattering rays. The first detector may be configured to collect first measurement data by detecting at least a portion of the scattering rays, the first measurement data reflecting an operation status of the radiation source.

Abstract: A reinforcement learning algorithm-based predictive control method for lateral and longitudinal coupled vehicle formation includes S1, combining a 3-DOF vehicle dynamics model that takes into account a nonlinear magic formula tire model with a lane keeping model and establishing a vehicle formation model; S2, constructing a distributed control framework and designing a local predictive controller for each following vehicle based on the vehicle formation model under the control framework; S3, using a reinforcement learning algorithm to solve the optimal control strategy of the local predictive controller, and applying the optimal control strategy to the target following vehicle. The present application completes the lateral and longitudinal coupled modeling of vehicle formation and considers the nonlinear characteristics of tires. In addition, the present application also transforms the global optimization problem of vehicle formation into a local optimization problem of each following vehicle.

Abstract: In a grain sampling and imaging device, a grain bin (1) is located under a sampling body (5), a grain feed connector (4) is fixed to a top of the sampling body (5), an observation window (2) is installed on the sampling body (5), a camera (3) is installed above the observation window (2); grains fall to a grain feed connector (4), and then into the sampling body (5), and then are sieved by multiple passages of the sampling body (5), a part of the grains randomly enter the observation window (2) and photographed by the camera (3), and finally all of the grains enter the grain bin (1) through a discharge outlet (5.1) provided at a bottom of the sampling body (5).

Abstract: The present disclosure relates to a medical system. The medical system may determine a working phase of the medical system. The working phase of the medical system may include a positioning phase, a scanning phase, and/or a scanning completion phase. The medical system may determine a position of a target portion of an object in the medical system based on one or more images associated with the object captured by an imaging sensor. The medical system may further control an operation of a positioning lamp of the medical system based on the working phase of the medical system and the position of the target portion of the object in the medical system.

Abstract: A method for detecting a field navigation line after ridge sealing of crops includes the following steps. A field crop image is acquired. Image color space transformation, image binaryzation, longitudinal integration, neighborhood setting and region integration calculation are sequentially performed on the field crop image to obtain a crop row image. Detections of an initial middle ridge, a left ridge and a right ridge are performed on the crop row image to obtain center lines of the initial middle ridge, left ridge and right ridge. Center lines of a left (right) crop row are established by using an area 1 between the center lines of the left (right) ridge and the initial middle ridge. A center line model of a middle ridge is established by using an area 0 between the center lines of the left and right crop rows, namely a navigation line of a field operation machine.

Abstract: A method for detecting a field navigation line after ridge sealing of crops includes the following steps. A field crop image is acquired. Image color space transformation, image binaryzation, longitudinal integration, neighborhood setting and region integration calculation are sequentially performed on the field crop image to obtain a crop row image. Detections of an initial middle ridge, a left ridge and a right ridge are performed on the crop row image to obtain center lines of the initial middle ridge, left ridge and right ridge. Center lines of a left (right) crop row are established by using an area 1 between the center lines of the left (right) ridge and the initial middle ridge. A center line model of a middle ridge is established by using an area 0 between the center lines of the left and right crop rows, namely a navigation line of a field operation machine.

Abstract: A method for extracting Raman characteristic peaks employing improved principal component analysis comprising: using a confocal microscopic Raman-spectroscopic instrument to collect Raman spectroscopic data from surfaces of pork and beef samples; and performing preprocessing on the Raman spectroscopic data, performing principal component analysis, establishing a principal component loading scatter plot, extracting dot characteristics from the principal component loading scatter plot, analyzing same, and performing filtering on the dot characteristics to obtain Raman characteristic peaks. The method for extracting Raman characteristic peaks employing improved principal component analysis is used to extract Raman characteristic peaks from pork and beef samples, and then the Raman characteristic peaks are inputted into a classifier to undergo classification, thereby achieving high accuracy and quick classification.

Abstract: The present disclosure provides a medical device. The medical device may include a gantry, a table, and one or more disinfection devices. The gantry may include a bore configured to accommodate an object for scan. The table may be configured to support the object and move the object into the bore. The one or more disinfection devices may be configured for disinfection.

Abstract: The present disclosure relates to systems and methods for configuring a medical device for a medical procedure. The systems may perform the method to acquire information relating to a target object through at least one of one or more sensors, one or more remote information devices, one or more human machine interaction devices, and software implemented by a processing device. The systems may perform the method to acquire determine, based on the information relating to the target object, that there is a scan to be performed on the target object. Before an appointment time of the scan, the systems may perform the method to acquire adjust the medical device from a standby mode to a work mode to perform the scan on the target object.

Abstract: The present disclosure relates to a medical system. The medical system may determine a working phase of the medical system. The working phase of the medical system may include a positioning phase, a scanning phase, and/or a scanning completion phase. The medical system may determine a position of a target portion of an object in the medical system based on one or more images associated with the object captured by an imaging sensor. The medical system may further control an operation of a positioning lamp of the medical system based on the working phase of the medical system and the position of the target portion of the object in the medical system.

Abstract: A movable medical device is provided. The movable medical device may include a medical cabin configured to accommodate medical resources for providing multiple types of medical services and a movable platform configured to move the medical cabin to a desired location. The medical cabin may include a radiation room configured to accommodate a radiation device for providing a medical imaging service; a sample processing room configured to accommodate medical resources for providing at least one of a sampling service or a sample detection service; and a control room configured to accommodate a control platform used to control the radiation device for providing the medical imaging service.

Abstract: The present disclosure relates to systems and methods for configuring a medical device for a medical procedure. The systems may perform the methods to initialize a gantry angle of a medical device of a new scan. The systems may also perform the methods to obtain a pre-set gantry angle associated with the new scan. The systems may also perform the methods to determine whether the initialized gantry angle is consistent with the pre-set gantry angle. The systems may also perform the methods to adjust the initialized gantry angle of the medical device to the pre-set gantry angle in response to a determination that the initialized gantry angle is inconsistent with the pre-set gantry angle.

Abstract: In a grain sampling and imaging device, a grain bin (1) is located under a sampling body (5), a grain feed connector (4) is fixed to a top of the sampling body (5), an observation window (2) is installed on the sampling body (5), a camera (3) is installed above the observation window (2); grains fall to a grain feed connector (4), and then into the sampling body (5), and then are sieved by multiple passages of the sampling body (5), a part of the grains randomly enter the observation window (2) and photographed by the camera (3), and finally all of the grains enter the grain bin (1) through a discharge outlet (5.1) provided at a bottom of the sampling body (5).

Abstract: The present disclosure relates to systems and methods for configuring a medical device for a medical procedure. The systems may perform the methods to initialize a gantry angle of a medical device of a new scan. The systems may also perform the methods to obtain a pre-set gantry angle associated with the new scan. The systems may also perform the methods to determine whether the initialized gantry angle is consistent with the pre-set gantry angle. The systems may also perform the methods to adjust the initialized gantry angle of the medical device to the pre-set gantry angle in response to a determination that the initialized gantry angle is inconsistent with the pre-set gantry angle.

Abstract: A method and a tool based on achievable bandwidth as a metric are provided for selecting paths for overlay construction in an application layer multicast system. An in-band bandwidth probing tool according to the invention can estimate achievable bandwidth, i.e., the data throughput that can be realized between two peers over the transport protocol employed. The tool can determine the amount of extra bandwidth available in the target network path so that excess data traffic can be diverted from congested path without causing new congestion in the target path.

Abstract: A method and a tool based on achievable bandwidth as a metric are provided for selecting paths for overlay construction in an application layer multicast system. An in-band bandwidth probing tool according to the invention can estimate achievable bandwidth, i.e., the data throughput that can be realized between two peers over the transport protocol employed. The tool can determine the amount of extra bandwidth available in the target network path so that excess data traffic can be diverted from congested path without causing new congestion in the target path.