Abstract: The present application relates to the field of error detection technology. An error detection method is provided. The error detection method includes: obtaining a target pose of an end of an operating arm; acquiring a positioning image; recognizing, in the positioning image, a plurality of pose identifications located on the end of the operating arm, the plurality of pose identifications including different pose identification patterns; determining an actual pose of the end of the operating arm based on the plurality of pose identifications; and generating a control signal related to a fault in response to the target pose and the actual pose meeting an error detection condition.

Abstract: The present application relates to the field of error detection technology. An error detection method and a robot system are provided. The error detection method includes: obtaining a target pose of an end of an operating arm; acquiring a positioning image; recognizing, in the positioning image, a plurality of pose identifications located on the end of the operating arm; recognizing, based on the plurality of pose identifications, an angle identification located on the end of the operating arm, the angle identification having a position association relationship with a first pose identification of the plurality of pose identifications; determining, based on the angle identification and the plurality of pose identifications, an actual pose of the end of the operating arm; and generating, in response to the target pose and the actual pose meeting an error detection condition, a control signal related to a fault.

Abstract: An information processing apparatus includes a requester that requests a user to perform an action in response to the user seeking permission, an obtainer that obtains user information about the user in response to the user being requested to perform the action, a determiner that determines whether to provide the permission to the user based on the user information, and a controller that performs control to repeatedly cause, in response to the determiner determining that the permission is not to be provided to the user, the requester to request the user to perform a new action not previously requested by the requester, the obtainer to obtain new user information about the user, and the determiner to determine whether to provide the permission based on the new user information.

Abstract: A testing system of a perimeter intrusion detection system established in relation to a barrier comprises a mobile base; a member extendable from the mobile base towards a subject portion of the barrier; and a sensor for determining when the member contacts the barrier.

Abstract: Aspects of this disclosure relate to selective removal of material of a layer, such as a carbon-containing layer. The layer can be over a patterned structure of two different materials. Treating the layer to cause the removal agent to be catalytically activated by a first area of the patterned structure to remove material of the organic material over the first area at a greater rate than over a second area of the patterned structure having a different composition from the first area.

Abstract: A memory device is provided. The memory device comprises a first plane and a second plane. The memory device further comprises a control circuit coupled to the first plane and the second plane. The control circuit is configured to: simultaneously initiate programming the first plane and the second plane; and in response to the first plane being successfully programmed, the second plane being unsuccessfully programmed, and a programming pulse count of the second plane being less than a predetermined programming pulse count value, keep programming the second plane and disable the first plane.

Abstract: In some examples, a touch screen includes resistors between the touch electrodes and routing traces. In some examples, the resistors can include a transparent conductive material included in the touch electrodes of the touch screen. The resistors can be located in a border region of the touch screen that can surround an active area of the touch screen that can include the touch electrodes and display pixels of the touch screen, for example. In some examples, the resistors included in the touch screen can have different resistances from each other and the same outer dimensions as one another. The resistors can reduce the variation in resistance from channel to channel in the touch screen, which can improve touch screen performance, for example.

Abstract: The present disclosure provides a method for preparing a multi-layer hexagonal boron nitride film, including: preparing a substrate; preparing a boron-containing solid catalyst, and disposing the boron-containing solid catalyst on the substrate; annealing the boron-containing solid catalyst to melt the boron-containing solid catalyst; feeding a nitrogen-containing gas and a protecting gas to an atmosphere in which the melted boron-containing solid catalyst resides, the nitrogen-containing gas reacts with the boron-containing solid catalyst to form the multi-layer hexagonal boron nitride film on a surface of the substrate. The method for preparing a multi-layer hexagonal boron nitride film can prepare a hexagonal boron nitride film having a lateral size in the order of inches and a thickness from several nanometers to several hundred nanometers on the surface of the substrate, providing a favorable basis for the application of hexagonal boron nitride in the field of two-dimensional material devices.

Abstract: A liveness test method and apparatus is disclosed. The liveness test method includes detecting a face region in an input image for a test target, implementing a first liveness test to determine a first liveness value based on a first image corresponding to the detected face region, implementing a second liveness test to determine a second liveness value based on a second image corresponding to a partial face region of the detected face region, implementing a third liveness test to determine a third liveness value based on an entirety of the input image or a full region of the input image that includes the detected face region and a region beyond the detected face region, and determining a result of the liveness test based on the first liveness value, the second liveness value, and the third liveness value.

Abstract: A growable continuum instrument includes a growable tube and one or more serially connected continuum structures. The growable tube includes an inner layer, an outer layer, and a fluid chamber between the inner and outer layers. The growable tube includes a turnable region where the inner and outer layers are connected and turnable. The continuum structure is located in the growable tube. The continuum structure includes a plurality of spacer discs and a plurality of connecting structures. The connecting structure includes one or more flexible structural bones, the two ends of which are respectively fixedly connected with the adjacent spacer discs, and are distributed along the circumferential direction of the spacer discs. The plurality of connecting structures include at least a first and second connecting structures, and the flexible structural bones of the first and second connecting structures are distributed differently along the circumferential direction of the spacer disc.

Abstract: An additive compound for dyeing an aluminum or aluminum alloy substrate after anodic oxidation to provide better uniformity in dyeing and hence a better finished appearance includes a main agent, an auxiliary agent, a pH stabilizer, and an antibacterial agent. The antibacterial agent includes at least one of sorbic acid, fluconazole, itraconazole, Artemisia argyi, benzyl alcohol, benzoic acid, salicylic acid, and boric acid. An additive solution and a dyeing method are also provided, the use of the compound also allows for a more rapid dyeing process.

Abstract: The present application discloses a method for generating a network topology, which determines multiple designated devices in a network, wherein the multiple designated devices are directly or indirectly connected through ports. The accessible devices corresponding to the ports of the designated devices among the multiple designated devices are determined, wherein any accessible device corresponding to a port of a designated device is directly or indirectly connected to the designated device through the port. A root node device among the multiple designated devices is determined according to the number of accessible devices corresponding to the ports of the designated device(s). The designated devices that are directly connected among the multiple designated devices are determined according to the accessible devices corresponding to the ports of the designated devices.

Abstract: A method for reading a memory device is provided. The memory device includes a plurality of word lines and a plurality of multi-bit memory cells connected to the plurality of word lines, and each of the multi-bit memory cells is configured such that a stored value of the multi-bit memory cell is read through multi-level preset read voltages. The method includes: defining at least one read offset for each of the multi-level preset read voltages respectively, selecting at least one of the multi-level preset read voltages as at least one sampling voltage, reading a multi-bit memory cell on an adjacent word line of a to-be-read multi-bit memory cell, and setting at least one offset flag, each representing a size of a respective one of at least one read offset, according to a sampling reading value of each of the at least one sampling voltage.

Abstract: Implementations described and claimed herein provide systems and methods for dynamic waterflood forecast modeling utilizing deep thinking computational techniques to reduce the processing time for generating the forecast model and improving the accuracy of resulting forecasts. In one particular implementation, a dataset of a field may be restructured into the spatio-temporal framework and data driven deep neural networks may be utilized to learn the nuances of data interactions to make more accurate forecasts for each well in the field. Further, the generated model may forecast a single time segment and build the complete forecast through recursive prediction instances. The temporal component of the restructured data may include all or a portion of the production history of the field divided into spaced time intervals. The spatial component of the restructure data may include, within each epoch, a computed or estimated spatial relationships of all existing wells.

Abstract: Implementations described and claimed herein provide systems and methods for a framework to achieve completion optimization for waterflood field reservoirs. The proposed methodology leverages adequate data collection, preprocessing, subject matter expert knowledge-based feature engineering for geological, reservoir and completion inputs, and state-of-the-art machine-learning technologies, to indicate important production drivers, provide sensitivity analysis to quantify the impacts of the completion features, and ultimately achieve completion optimization. In this analytical framework, model-less feature ranking based on mutual information concept and model-dependent sensitivity analyses, in which a variety of machine-learning models are trained and validated, provides comprehensive multi-variant analyses that empower subject-matter experts to make a smarter decision in a timely manner.

Abstract: Systems and method for predicting production decline for a target well include generating a static model and a decline model to generate a well production profile. The static model is generated with supervised machine learning using an input data set including historical production data, and calculates an initial resource production rate for the target well. The decline model is generated with a neural network using the input data and dynamic data (e.g., an input time interval and pressure data of the target well), and calculates a plurality of resource production rates for a plurality of time intervals. The system can perform multiple recursive calculations to calculate the plurality of resource production rates, generating the well production profile. For instance, the predicted resource production rate of a first time interval is used as one of inputs for predicting the resource production rate for a second, subsequent time interval.

Abstract: An image processing apparatus and method are provided. The image processing apparatus acquires a target image including a depth image of a scene, determines three-dimensional (3D) point cloud data corresponding to the depth image based on the depth image, and extracts an object included in the scene to acquire an object extraction result based on the 3D point cloud data.

Abstract: A method performed by an image capture device. The method includes determining whether to send a notification or determining whether to open a door based at least in part on at least one image captured by the image capture device.

Abstract: A database management system for performing a graph query based on one or more graph views of a relational-graph database is disclosed. The database management system is configured to determine a plurality of graph views of the relational-graph database based on one or more previous graph queries of the relational-graph database to obtain a plurality of candidate graph views of the relational-graph database. Moreover, the database management system is configured to store a subset of the plurality of candidate graph views of the relational-graph database and perform a graph query of the relational-graph database based on the subset of the plurality of candidate graph views of the relational-graph database. By means of the selected subset of the plurality of candidate graph views of the relational-graph database, the database management system advantageously allows increasing the processing speed of graph queries.

Abstract: A computer-implemented method for place recognition including: obtaining information identifying an image of a first scene; identifying a plurality of pixel clusters in the image; generating a set of feature vectors associated with the pixel clusters; generating a graph of the scene; adding a first edge between a first node and a second node in response to determining that a first property associated with a first pixel cluster is similar to a second property associated with a second pixel cluster; generating a vector representation of the graph; calculating a measure of similarity between the vector representation of the graph and a reference vector representation associated with a second scene; and determining that the first scene and the second scene are associated with a same place in response to determining that the measure of similarity is less than a threshold.