Abstract: An unmanned device control method and apparatus, a storage medium, and an electronic device. An unmanned device is controlled to move according to a preplanned target path; current environment information of the unmanned device is obtained; according to the current environment information of the unmanned device, a target subpath on which the unmanned device is located is determined, from target subpaths included in the target path, as a designated subpath; and a control strategy is then determined according to a scenario type corresponding to the designated subpath, and a determined control strategy is used to control the unmanned device.

Abstract: Disclosed is a moisture reactive hot melt adhesive composition prepared from a combination comprising a polyisocyanate, at least one polyether polyol polymer, an acrylic polymer, an inorganic filler and a polyester diol having a structure of Formula 1 or of Formula 2. Formula 1 is: H-[O(CH2)mOOC(CH2)nCO]k-O(CH2)m-OH; m and n are each an even integer; m+n=8; m and n are each independently selected from 2, 4 or 6; k is an integer from 9 to 55; and the polyol of Formula 1 has a number average molecular weight of about 2,000 to about 11,000. Formula 2, a polycaprolactone polyol, is: HO-[(CH2)5COO]pR1-[OOC(CH2)5]q-OH; R1 is an initiator such as 1,4?-butanediaol, 1,6?-hexanediol, or ethylene glycol; p is an integer from 0 to 96; q is an integer from 0 to 96; p+q=16 to 96; and the polyol has a number average molecular weight of about 2,000 to about 11,000 or less.

Abstract: A voice interaction method, system, terminal device and medium comprises a terminal device for performing voice recognition on collected voice signals to acquire an input sentence; semantically matching the input sentence with cached sample sentences to determine whether there is a sample sentence having the same or similar semantics as the input sentence; if yes, acquiring cached response content corresponding to the sample sentence having the same or similar semantics as the input sentence; if not, sending at least one of the input sentence or the collected voice signals to a server; receiving from the server response content of the least one of the input sentence or the collected voice signals, acquired by the server through semantic understanding according to a knowledge base on the server, responding to the input sentence according to the response content, and updating the cached sample sentences or the response content.

Abstract: A mobile device comprises an AR display, an image capture device that generates image data of a face of a viewer of the AR display, and a processing device. The processing device receives the image data and sends the image data to a computing device. The computing device processes the image data to identify a position of a dental arch in the image data; determines a treatment outcome for the dental arch; generates a post-treatment image of the dental arch that shows the treatment outcome; generates updated image data comprising a superimposition of the post-treatment image of the dental arch over the received image data; and sends the updated image data to the mobile device. The mobile device outputs the updated image data to the AR display, wherein the post-treatment image of the dental arch is superimposed over the dental arch in the received image data such that the post-treatment image is visible in the AR display rather than a true depiction of the dental arch.

Abstract: Tabular data is accessed that contains multiple entries of alphanumeric data. Multiple tokens are generated of the multiple entries of alphanumeric data using a tokenization process. The tokenization process maintains jargon-specific features of the alphanumeric data. Multiple embeddings of the multiple entries of alphanumeric data are generated using the tokens. The embeddings capture similarity of the multiple entries considering all of global features, column features, and row features in the tokens of the tabular data. A neural network is used to predict probabilities for pre-defined classes for the tabular data using the generated embeddings.

Abstract: Methods for visualizing treatment outcomes are provided. In some embodiments, a method includes obtaining a first 2D image of a patient's teeth from a mobile device, and obtaining an arch model representing an outcome for the patient's teeth after orthodontic treatment. The method can include matching the patient's teeth in the first 2D image to corresponding teeth in the arch model, using a parametric model. The method can also include determining a target position for the patient's teeth, based on a position of the matched corresponding teeth in the arch model. The method can further include generating a second 2D image depicting the patient's teeth in the target position.

Abstract: Various propulsion motor topologies are provided. In particular, a propulsion motor is provided which includes: at least one ferromagnetic core having opposite ends joined by a body forming a magnetic flux pathway between the opposite ends; a magnetic flux inducing device to induce a first magnetic flux in the at least one ferromagnetic core along the magnetic flux pathway; and armature coils to induce a varying second magnetic flux in the at least one ferromagnetic core perpendicular to the magnetic flux pathway, to assist inducing a propulsion force perpendicular to the magnetic flux pathway. The at least one ferromagnetic core is shaped to form one or more total forces perpendicular to the propulsion force due to the first magnetic flux.

Abstract: Various topologies to reduce force ripple for propulsion motors are provided. A propulsion motor comprises: ferro-magnetic cores arranged along a movement axis, the ferromagnetic cores including one or more end ferromagnetic cores located at an end of the movement axis, the one or more end ferromagnetic cores shaped to provide one or more of increasing magnetic permeance or decreasing magnetic reluctance from the end of the movement axis towards a center of the movement axis; armature coils located around the ferromagnetic cores; and at least one field coil around one or more of the armature coils and the ferromagnetic cores.

Abstract: A vehicle with offset propulsion motors is provided. The vehicle comprises: a body; and a plurality of propulsion motors at a side of the body, arranged in a line about parallel to a movement axis of the body. Displacements between adjacent propulsion motors along the movement axis are selected according to an electrical period of poles of the plurality of propulsion motors, and an offset distance. The offset distance is determined by dividing the electrical period into the offset distance to determine a remainder. The electrical period divided by the remainder is about equal to a number of the plurality of propulsion motors divided by a given integer value that is less than the number of the plurality of propulsion motors, and produces a largest common divider between the given integer value and the number of the plurality of propulsion motors of “1”.

Abstract: Provided herein are orthodontic systems and methods for automatically segmenting a person's teeth. Systems, methods and processes are provided to properly segment the teeth of a person's teeth from an image of the person's face showing at least some of the person's teeth (e.g., dental arch). Methods and systems are provided to automatically detect dental edges after a dental scan. Also described herein are methods and systems for generating a simulated image of the person's face from the final segmentation of the person's teeth in which the segmented teeth have been moved from their original position, including a new position based on an orthodontic treatment plan.

Abstract: The present disclosure discloses a voice interaction method, system, terminal device and medium, with operations performing voice recognition on collected voice signals to acquire an input sentence; semantically matching the input sentence with cached sample sentences, determining whether there is a sample sentence having same or similar semantics as the input sentence among the cached sample sentences; if yes, acquiring cached response content having the same or similar semantics as the input sentence; if not, sending at least one of the input sentence or the collected voice signals to a server; receiving response content or the collected voice signals, as response content of the input sentence, acquired through semantic understanding according to a knowledge base, responding to the input sentence according to the response content of the input sentence, and updating at least one of the cached sample sentences or the response content of the cached sample sentences.

Abstract: A computing device comprises a memory to store instructions and one or more processors operatively coupled to the memory. Execution of the instructions causes the one or more processors to calculate a quality metric for a region of interest in a received image of a face of a person that comprises a current dentition of the person, wherein data for pixels inside of the region of interest is used to calculate the quality metric, and wherein data for pixels of a second region that is outside of the region of interest is not used to calculate the quality metric; determine whether the quality metric satisfies a criterion; and responsive to determining that the quality metric satisfies the criterion, generate a modified version of the image, wherein the current dentition of the person is replaced with a post-treatment dentition of the person in the modified version of the image.

Abstract: Embodiments include receiving image data comprising a representation of teeth, wherein the image data comprises a set of pixel locations for the teeth and depth values associated with the pixel locations in the set of pixel locations. The method further includes generating new image based on applying one or more functions to the image data, wherein the one or more functions adjust one or more color channels of the set of pixel locations based at least in part on the depth values.

Abstract: A communication methods, including: receiving first information by a first control panel of a plurality of control panels; determining one or more target control panels from the plurality of control panels (S101), where the plurality of control panels are disposed in different rooms, or at least partially at different locations in a same room; for each of the one or more target control panels, detecting whether a room where the target control panel is located is occupied (S102); in response to determining that there is an occupant, sending the first information to the target control panel by the first control panel (S103), and outputting the first information from the target control panel (S104); and in response to determining that there is no occupant, generating first prompt information by the first control panel (S105).

Abstract: An unmanned aerial vehicle (UAV) return method and apparatus and a UAV. The method includes: performing real-time fusion to generate velocity information of the UAV; determining, through integrating the velocity information, displacement information of a current location of the UAV relative to a takeoff location; determining a return starting point location of the UAV according to the displacement information; obtaining a return instruction, and determining a return mode; and controlling, according to the return mode, the UAV to return from the return starting point location to the takeoff location. In the foregoing manner, the present invention resolves the technical problem of poor accuracy that a current UAV returns by relying on GPS location information, and improves the returning accuracy of the UAV.

Abstract: Provided herein are orthodontic systems and methods for automatically segmenting a person's teeth. Systems, methods and processes are provided to properly segment the teeth of a person's teeth from an image of the person's face showing at least some of the person's teeth (e.g., dental arch). Methods and systems are provided to automatically detect dental edges after a dental scan. Also described herein are methods and systems for generating a simulated image of the person's face from the final segmentation of the person's teeth in which the segmented teeth have been moved from their original position, including a new position based on an orthodontic treatment plan.

Abstract: Systems and methods of simulating dental treatments are disclosed. A method may include capturing a first 2D image of a patient's face, including the patient's teeth, building a parametric 3D model of the patient's teeth and gingiva based on the first 2D image, developing a simulated outcome of a dental treatment of the patient's teeth by rendering the parametric 3D model with the patient's teeth in one or more positions and/or orientations corresponding to the treatment goals of the dental treatment plan, and rendering a second 2D image of the patient's face with gingiva and teeth according to a simulated outcome of the dental treatment plan. As noted herein, the dental treatment plan may include orthodontic and/or restorative elements. The simulated outcome may correspond to estimated outcomes and/or intended outcomes of the dental treatment plan.

Abstract: Detecting and mitigating anomalous system behavior by providing a machine learning model comprising a knowledge graph depicting system entity relationships, and modeling behavioral correlations among system entities according to historical time-series data, receiving real-time time-series data for the system, detecting an anomalous system behavior in a system locale, according to the real-time time-series data, according to the machine learning model and multivariate sensor metrics, diagnosing the anomalous system behavior according to an upstream portion of the knowledge graph and a statistical behavior model for the system locale, and mitigating the anomalous behavior by deriving a recommended action according to the anomalous behavior and generating a work order to implement the recommended action.

Abstract: A processing device receives an image and calculates a sharpness metric for a region of interest of the image. The processing device determines whether the sharpness metric satisfies a sharpness criterion, and one or more additional operations are performed responsive to determining that the sharpness metric satisfies the sharpness criterion.

Abstract: Disclosed is a one component, liquid, moisture curable polyurethane adhesive composition comprising the reaction products of a mixture including at least one polyol with an excess of one or more polyisocyanates and an acid component. In one embodiment some or all of the acid component is applied separately from the adhesive composition. The adhesive composition has enhanced bond strength to metals such as aluminum compared to currently available adhesives. The composition finds special use in panel lamination applications.