Abstract: The disclosure relates to systems and methods for iterative reconstruction. Raw data detected from a plurality of angles by an imaging device may be obtained. A first seed image may be generated by performing a filtered back projection on the raw data. A first air mask may be determined by performing a minimum value back projection (BP) on the raw data. One or more images may be reconstructed by performing an iterative reconstruction based on the first seed image, the first air mask, and the raw data.

Abstract: Systems and methods for generating synthesized images are provided. An input medical image of a patient in a first domain is received. A synthesized image in a second domain is generated from the input medical image of the patient in the first domain using a first generator. The first generator is trained based on a comparison between segmentation results of a training image in the first domain from a first segmentor and segmentation results of a synthesized training image in the second domain from a second segmentor. The synthesized training image in the second domain is generated by the first generator from the training image in the first domain. The synthesized image in the second domain is output.

Abstract: A method of obtaining and geo-registering an aerial image of an object of interest is provided. The method includes obtaining an aerial image and accessing an object detection model trained using a machine learning algorithm. The method includes training set of aerial images of an object of interest, and using the object detection model to detect the object of interest in the aerial image. The object detection includes a prediction of a boundary of the object of interest depicted in the aerial image based on the defined boundary of the object of interest. And the method includes geo-registering the aerial image including the prediction of the boundary of the object of interest with a geographic location of the object of interest.

Abstract: An object recognition apparatus of a vehicle includes a communication device receiving information of an object from the object, a camera capturing an image of the object, and a controller that recognizes the image of the object based on a deep learning network, and, when information from recognizing the image of the object is compared with the information of the object and then the comparison result is determined as a recognition error, transmits the image of the object and an error determination result to a server.

Abstract: A burning device for burning multiple tire pressure sensors includes the multiple tire pressure sensors and a burning tool. Each of the multiple tire pressure sensors includes a unique identification code and a common identification code. The burning tool sends a conversion command to the multiple tire pressure sensors, so that each of the multiple tire pressure sensors is changed from a mode of the unique identification code to a mode of the common identification code. In the mode of the common identification code, a communication protocol is sent to the multiple tire pressure sensors via the burning tool, and then the communication protocol is burned into the multiple tire pressure sensors to complete a burning operation.

Abstract: A system is comprised of one or more processors coupled to memory. The one or more processors are configured to receive image data based on an image captured using a camera of a vehicle and to utilize the image data as a basis of an input to a trained machine learning model to at least in part identify a distance of an object from the vehicle. The trained machine learning model has been trained using a training image and a correlated output of an emitting distance sensor.

Abstract: System and methods for solder void analysis with an optical inspection component are described, including a plurality of optical fibers longitudinally disposed through a glass tube such that ends of the optical fibers are exposed from corresponding ends of the glass tube. A solderable fill encompassing each of the optical fibers by filling spaces between each of the optical fibers and between the optical fibers and the glass tube such that the ends of the glass tube include the ends of the optical fibers surrounded by the solderable fill to form an interface around the optical fibers for soldering one of the ends of the glass tube to a solder pad.

Abstract: There is provided a method for determining transmission power for uplink signal, the method performed by a user equipment (UE) and comprising: determining a total transmission power for E-UTRA uplink signal and NR uplink signal, when the E-UTRA uplink signal and the NR uplink signal overlap in time, wherein the total transmission power satisfies a condition including on PCMAX_L and PCMAX_H, wherein PCMAX_L is a lower limit for the total transmission power and PCMAX_H is a higher limit for the total transmission power, wherein when the E-UTRA uplink signal is transmitted on a scheduling unit p, when the NR uplink signal is transmitted on a scheduling unit q, the scheduling unit p is taken as a reference for the determination; and transmitting the E-UTRA uplink signal and the NR uplink signal based on the determined total transmission power.

Abstract: A method, a device, and a non-transitory computer-readable storage medium are described in which a Listen Before Talk-based dynamic energy detection service is provided. The dynamic energy detection service includes provisioning a dynamic threshold value that is used during a clear channel assessment procedure. The dynamic threshold value may be increased or decreased by an adjustment value depending on the success or failure of a data transmission indicated by an end device.

Abstract: A method for regrouping multiple groups and a device are provided. The method includes: receiving, by a first group management functional entity, a group regrouping creation message sent by first UE, where the group regrouping creation message includes identifiers of N MCPTT groups, and the group regrouping creation message is used to request the first group management functional entity to create, according to the identifiers of the N MCPTT groups, a temporary group which is initiated by a first MCPTT user and into which the N MCPTT groups are regrouped; and the first MCPTT user belongs to at least one MCPTT group of the N MCPTT groups; and configuring information about the temporary group, where the information about the temporary group includes an identifier of the temporary group into which the N MCPTT groups are regrouped, and the identifiers of the N MCPTT groups.

Abstract: Embodiments of this application disclose a signal transmission method, a terminal device, and a network device. The method includes: determining, by a terminal device, information indicating a channel state information-reference signal (CSI-RS) resource, the information corresponding to a target uplink signal; determining, by the terminal device, a power control parameter of the target uplink signal according to the information indicating the CSI-RS resource; determining, by the terminal device, a transmit power of the target uplink signal according to the power control parameter; and sending, by the terminal device, the target uplink signal to the network device according to the transmit power. The method, the terminal device, and the network device in the embodiments of this application help improve the accuracy of power control, so that system transmission performance can be improved.

Abstract: Techniques are discussed for segmenting sensor data captured by a sensor to remove a ground surface from the sensor data. A first technique includes capturing sensor data represented as multichannel image and segmenting the image according to image processing techniques. The ground surface can be removed from the sensor data, and a subset of the sensor data can be associated with a voxel space. A second technique includes capturing sensor data and unprojecting the sensor data to generate three dimensional data, which can be associated with a voxel space. Ground plane data associated with a location can be accessed or determined and voxel data that is within a threshold height of the ground plane data can be removed from the voxel space. Clustering techniques can determine objects represented in the data, and a vehicle can be controlled based on the objects.

Abstract: A radiofrequency (RF) power regulator includes a forward RF power detection circuit to detect forward RF power supplied by an RF transmitter circuit to an RF transmitting antenna. An RF power sampler is coupled to the forward RF power detector circuit and provides RF power samples of the supplied forward RF power. Multiple filters are coupled to receive the RF power samples. Each filter differently filters the received forward power samples to apply a different average power period. Each filter activates an RF power adjustment trigger signal while a time-averaged forward RF power supplied to the RF transmitting antenna satisfies a forward RF power adjustment condition for the average power period of the filter. Forward RF power adjustment logic is coupled to filters and operable to adjust the forward RF power supplied by the RF transmitter circuit to the RF transmitting antenna based on the RF power adjustment trigger signal.

Abstract: Systems and methods for estimating arterial flow information can include a processor generating a time attenuation sequence for each point of a pair of points along a segment of a coronary artery structure. The processor can determine the arterial flow velocity between the pair of points using the distance between the pair of points and the difference between average transit times associated with the pair of points. The one or more processors can determine the average transit times across the same time window. The processor can determine the arterial flow velocity between the pair of points using the distance between the pair of points and the difference between a first time duration that a number of particles take to pass by a first point of the pair of points and a second time duration that the number of particles take to pass by the other point.

Abstract: The present invention relates to an apparatus and a method for performing measurement reporting considering in-device coexistence interference. The present invention provide a user equipment transmitting a measurement report in a wireless communication system, comprising an interference detection unit, an assistant information generation unit, a measurement controller and a transmitter. According to the present invention, a measurement procedure can be clearly defined in an interference delicate band where in-device coexistence interference occurs and scheduling restrictions on an eNodeB due to measurement reporting about an interference delicate band can be reduced.

Abstract: A method is disclosed for determining an appropriate transmit power of a cell based on a desired coverage distance, comprising: initializing, at a cell, a cell reference signal transmit power at a high power level; broadcasting a cell signal power measure to require a high signal power level for user devices attempting to connect to the cell; progressively lowering the cell signal power measure at the cell; broadcasting the lowered cell signal power measure; deriving a plurality of user equipment (UE) attach request distances based on a plurality of propagation delay statistics derived from UE attach requests received at the cell; comparing the plurality of UE attach request distances against a maximum distance to obtain a number of UE attach requests received from UEs physically located beyond the maximum distance; and setting the cell reference signal transmit power based on the number of UE attach requests received from beyond the maximum distance, thereby iteratively determining an appropriate cell refere

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training and using machine learning models to detect problems in a satellite communication system. In some implementations, one or more feature vectors that respectively correspond to different times are obtained. The feature vector(s) are provided as input to one or more machine learning models trained to receive at least one feature vector that includes feature values representing properties of the satellite communication system and output an indication of potential causes of a condition of the satellite communication system based on the properties of the satellite communication system. A particular cause that is indicated as being a most likely cause of the condition of the satellite communication system is determined based on one or more machine learning model outputs received from each of the one or more machine learning models.

Abstract: A method for calibrating a camera of a vehicle is provided. The method comprises: generating a camera calibration matrix comprising a first, a second and a third column, wherein the first column of the camera calibration matrix is obtained based on the obtained focus of expansion points, the third column of the camera calibration matrix is obtained based on the obtained plane normal vectors and a second column of the camera calibration matrix corresponding to the cross-product of the first and the third column of the camera calibration matrix is obtained. Then, the camera is calibrated using the obtained camera calibration matrix.

Abstract: One disclosure of the present specification provides a method for simultaneously transmitting, by user equipment (UE), a cellular uplink signal and a proximity service (ProSe) signal. The method may comprise a step of determining the total transmission power PCMAX of the cellular uplink signal and the ProSe signal. Here, the total transmission power PCMAX may satisfy PCMAX L?PCMAX?PCMAX H. At this time, PCMAX L may be a lower limit value and PCMAX_H may be an upper limit value. The cellular uplink signal is transmitted in a subframe n, the ProSe signal is transmitted in a subframe m, and subframe n may be considered as a reference subframe if subframe n and subframe m are time asynchronous.

Abstract: A method for non-invasive video oculographic measurement of eye movements as diagnostic support for (early) detection of neuropsychiatric diseases, using an indicator for a visual stimulus and a camera for video recording. A position of the camera is kept constant in relation to the display and a face of a test person is continuously recorded, at least in parts. A recognition algorithm is started which creates an eye template in which an absolute position of the eye and a pupil of the eye are continuously recorded in the image. Furthermore, a reference range, especially around the eye, is defined and, after selecting a predefined measurement paradigm of the pupil are continuously recorded and analyzed at the end of the stimulus.