Abstract: The present application relates to a method for indoor positioning, and an apparatus, an electronic device and a storage medium, which relates to the fields of positioning technologies and deep learning technologies. A specific implementation solution is: extracting descriptors of structure lines in a specified image collected by a terminal indoors; based on the descriptors of the structure lines in the specified image and descriptors of structure lines of images included in a pre-established indoor image database, acquiring, from the indoor image database, target structure line descriptors closest to the descriptors of the structure lines in the specified image; and acquiring pose information of the terminal based on a pre-established indoor 3D structure line map and the target structure line descriptors corresponding to the descriptors of the structure lines in the specified image.

Abstract: A method and system for controlling connectivity of a user equipment device (UE), the UE being dual-connectivity capable. The UE detects that the UE has ping-ponged at a threshold high rate between standalone connectivity and dual connectivity. And responsive to at least detecting that the UE has ping-ponged at the threshold high rate between standalone connectivity and dual connectivity, the UE transmits, to an access node serving the UE, a report including an indication that the UE is not dual-connectivity capable, even though the UE is dual-connectivity capable. The access node could then use the indication in the report as a basis to forgo configuring of dual connectivity for the UE, which could thereby help discontinue the ping-ponging.

Abstract: A method for determining respiratory induced blood mass change from a four-dimensional computed tomography (4D CT) includes receiving a 4D CT image set which contains a first three-dimensional computed tomographic image (3D CT) and a second 3D CT image. The method includes executing a deformable image registration (DIR) function on the received 4D CT image set, and determining a displacement vector field indicative of the lung motion induced by patient respiration. The method further includes segmenting the received 3D CT images into a first segmented image and a second segmented. The method includes determining the change in blood mass between the first 3D CT image and the second 3D CT image from the DIR solution, the segmented images, and measured CT densities.

Abstract: Circuit board inspection by receiving a near infrared (NIR) image of at least a portion of a circuit board, analyzing the NIR image using a machine learning model, and detecting anomalous circuit board portions according to the analysis.

Abstract: The present disclosure provides a method and an apparatus for determining an attitude angle of a camera, capable of improving the accuracy of the attitude angle of the camera, and in turn the accuracy of the attitude of the camera that is obtained based on the attitude angle of the camera. The present disclosure can also improve the accuracy of object distance measurement and vehicle positioning based on the attitude angle of the camera. In the method for determining an attitude angle of a camera, the camera is fixed to one and the same rigid object in a vehicle along with an Inertial Measurement Unit (IMU).

Abstract: In example implementations, a method is provided. The method includes printing a three-dimensional (3D) object that includes a secondary structure. The secondary structure is removed. A representation of a surface of the 3D object where the secondary structure was removed is captured. The 3D object is authenticated based on the representation of the surface.

Abstract: Techniques are provided for determining a location of a mobile device based on visual positioning solution (VPS). An example method for determining a position estimate of a mobile device includes obtaining sensor information, detecting one or more identifiable features in the sensor information, determining a range to at least one of the one or more identifiable features, obtaining coarse map information, determining a location of the at least one of the one or more identifiable features based on the coarse map information, and determining the position estimate for the mobile device based at least in part on the range to the at least one of the one or more identifiable features.

Abstract: A defect inspection device includes an ultrasonic probe, an image acquirer, a calculator, and a corrector. The ultrasonic probe acquires an ultrasonic image of an inspection object or a simulated inspection object. The image acquirer acquires an infrared image including a first region of the simulated inspection object or a second region of the inspection object. The calculator calculates a first correction value for correcting a coordinate deviation of the first region in the ultrasonic image and the infrared image with respect to a designed coordinate of the first region, or calculate a second correction value for correcting a coordinate deviation of the second region in the infrared image with respect to a designed coordinate of the second region. The corrector performs coordinate correction with the calculated first or second correction value for the ultrasonic image of the inspection object.

Abstract: Aspects of the subject disclosure may include, for example, a system that manages utilization of mobile subscriber identity information including enabling reuse of such information by a different communication device and/or re-authorizing use by a communication device that previously was authorized to utilize the information. Other embodiments are disclosed.

Abstract: A system can include a computer including a processor and a memory, the memory storing instructions executable by the processor to receive point cloud data. The instructions further include instructions to generate a plurality of feature maps based on the point cloud data, each feature map of the plurality of feature maps corresponding to a parameter of the point cloud data. The instructions further include instructions to aggregate the plurality of feature maps into an aggregated feature map. The instructions further include instructions to generate, via a feedforward neural network, at least one of a segmentation output or a classification output based on the aggregated feature map.

Abstract: A pattern inspection apparatus includes an optical image acquisition mechanism to acquire an optical image of each of a plurality of regions on the inspection substrate where a pattern is formed, a plurality of comparison circuits to individually compare the optical image with a reference image corresponding to the optical image, an abnormality determination circuit to determine, based on comparison results, whether there is a region having an inspection abnormality in the plurality of regions, a malfunction diagnosis circuit to diagnose whether a comparison circuit that performed comparison for the region determined to have the inspection abnormality in the plurality of regions has a malfunction, and an assignment processing circuit to individually assign regions of the plurality of regions where comparison is to be performed to comparison circuits that are not diagnosed as malfunctions, and to exclude a comparison circuit diagnosed as a malfunction from the region assignment target.

Abstract: A method for determining the length of a line involves determining a length of a first electrical line, determining an identifier of the first electrical line, determining a length of a second electrical line, which is intended for installation in an electrical installation assembly, based on the length of the first electrical line and a starting length determined by means of the identifier.

Abstract: Defects of substrates are inspected when executing a job in which a treatment recipe for substrates and the substrates being treatment objects are designated to perform predetermined treatments on the substrates. An imaging step successively images substrates. A first determination step decomposes, in order from the substrate as head of the job, a planar distribution of pixel values in a substrate image captured at the imaging step into pixel value distribution components using a Zernike polynomial, calculates Zernike coefficients of the pixel value distribution components corresponding to defects to be detected, and determines presence or absence of a defect based on the calculated Zernike coefficients. A second determination step determines, from predetermined timing after one or more substrates is determined to have no defect at the first determination step, presence or absence of a defect based on the substrate image determined to have no defect at the first determination step.

Abstract: An observation platform comprises a computer system associated with an organization, a first communication device associated with a first user, a second communication device communicatively coupled with the computer system, and a plurality of additional communication devices associated with different users of a plurality of additional users. The computer system communicates with the first and additional communication devices via the second communication device. The computer system receives, via the second communication device, a signal from the first communication device. A characteristic of the signal corresponds to audible source which is a voice of the first user. The computer system derives context information from a speech to text analysis of the characteristic. The context information comprises a query about the organization.

Abstract: A system includes sensors and a tracking subsystem. The subsystem receives frames of top-view images generated by the sensors. The subsystem tracks a first and second object, based on received frames. The subsystem detects that the first object is within a threshold distance of the second object. In response, the subsystem determines a probability that the first object switched identifiers with the second object and updates candidate lists accordingly for the first and second objects. The updated first candidate list includes a probability that the first object is associated with a first identifier and a probability that the first object is associated with a second identifier.

Abstract: Various wireless power transmission systems are provided for sensing an environment, e.g., using a neural network. For instance, phase information corresponding to wireless power transmission is input into a neural network framework, and then, distance information representative of a distance from a wireless power transmitter to an object is obtained as output from the neural network framework. Based on the distance information, a power of a subsequent wireless power transmission can be modified, or an environment comprising the object can be mapped.

Abstract: A system and approach for remote reading, setting and control of devices such as thermostats. A phone, such as a smartphone, a gateway and a cloud may be incorporated relative to interaction with the device or devices. The gateway may have a hub that has bluetooth communication capabilities with the device. The hub may be connected to a router that in turn is connected to a cloud in a wireless or wired manner. The phone may communicate with the cloud to achieve interaction with the device. The hub may also handle WiFi communications. The gateway may instead be a phone that contains an app which lets operate as a gateway for communications with the cloud. There may be one or more devices that are a part of one or more home area networks that are connected to a gateway via bluetooth and WiFi, and in turn connected to the cloud.

Abstract: Selection of an evaluation index based upon statistical values of respective evaluation indices is disclosed. In one example, an information processing apparatus comprises an evaluation index unit that determines a plurality of evaluation indices on a basis of imaging data obtained by imaging a subject, wherein the evaluation indices are respectively based upon different wavelength component combinations of the imaging data. An evaluation value unit determines an evaluation value based on a statistical value of each of the evaluation indices, for each of the evaluation indices. A selection unit then determines a selected evaluation index from the evaluation indices on a basis of the evaluation values.

Abstract: A system uses range and Doppler velocity measurements from a lidar subsystem and images from a video subsystem to estimate a six degree-of-freedom trajectory of a target. The video subsystem and the lidar subsystem may be aligned with one another by mapping the measurements of various facial features obtained by each of the subsystems to one another.

Abstract: With rapid increases in the number and spatial density of wireless messages as 5G and 6G are rolled out, it is essential that improved methods for fault-tolerant demodulation and error mitigation be developed. Disclosed herein are methods for receiving a message concatenated with a demodulation reference, determining the predetermined modulation levels of a modulation scheme, and demodulating the message by measuring the amplitude mad/or phase modulation values of each message element. The measured modulation values are then compared with the predetermined modulation levels of the modulation scheme to demodulate the message. Importantly, the message can be demodulated by determining an amplitude and phase of the raw signal for each message element, or by separating the raw signal into two orthogonal “branches” and determining the amplitudes of the two branches. By demodulating the message both ways, message faults may be identified and mitigated, according to some embodiments.