Abstract: In a crop identification method, multi-temporal sample remote sensing images labeled with first planting blocks of a specific crop are acquired. NDVI data of the sample remote sensing images are calculated. Noise of the NDVI data is reduced. A first multivariate Gaussian model is fitted based on de-noised NDVI data of the sample remote sensing image. Multi-temporal target remote sensing images are acquired. An NDVI time series of each pixel in the target remote sensing image is constructed. The NDVI time series is input to the first multivariate Gaussian model to obtain a likelihood value of each pixel displaying the specific crop in the remote sensing images. Second planting blocks of the specific crop in the target remote sensing images are determined accordingly. An accurate and robust identification result is thereby achieved.

Abstract: A method for generating a model for facial sculpture based on a generative adversarial network (GAN) includes training a predetermined GAN based on a three dimensional (3D) face dataset of multiple 3D face images to obtain an initial sculpture generation model. A curvature conversion on each of the multiple 3D face images is performed to obtain a distribution map of curvature value and the distribution map of curvature value of each of the multiple 3D face images is added as attention information to the initial sculpture generation model, to train and generate a face sculpture generation model. A target 3D face data and predetermined face curvature parameters are received, and the target 3D face data and the predetermined face curvature parameters are inputted into the face sculpture generation model to generate a face sculpture model. A computing device using the method is also provided.

Abstract: In a face swap method carried out by an electronic device, a first head image is segmented from a destination image. First facial landmarks and a first hair mask are obtained according to the first head image. A second head image is segmented from a source image. Second facial landmarks and a second hair mask are obtained according to the second head image. If at least one eye landmark in the second facial landmarks is covered by hair, the second head image and the second hair mask are processed and repaired so as to obtain a swapped-face image with eyes not covered by hair.

Abstract: A device providing intelligent assistance in mobility for disabled people and others includes a mobility device and a lifting device detachably mounted on the mobility device. The lifting device includes a base frame, a retractable bracket structure, several wheels, a sitting pad, and a backrest. The wheels are mounted on a lower surface of the base frame and drive the lifting device to move. The retractable bracket structure is mounted on an upper surface of the base frame. The sitting pad is detachably mounted on the retractable bracket structure, and the backrest is rotatably mounted on the retractable bracket structure.

Abstract: In a method for training an image generation model, a first generator generates a first sample matrix, a first converter generates a sample contour image, a first discriminator optimizes the first generator and the first converter, a second generator generates a second sample matrix according to the first sample matrix, a second converter generates a first sample grayscale image, a second discriminator optimizes the second generator and the second converter, a third generator generates a third sample matrix according to the second sample matrix, a third converter generates a second sample grayscale image, a third discriminator optimizes the third generator and the third converter, a fourth generator generates a fourth sample matrix according to the third sample matrix, a fourth converter generates a sample color image, and a fourth discriminator optimizes the fourth generator and the fourth converter. The image generation model can be trained easily.

Abstract: In a method for training an image generation model, a first generator generates a first sample matrix, a first converter generates a sample contour image, a first discriminator optimizes the first generator and the first converter, a second generator generates a second sample matrix according to the first sample matrix, a second converter generates a first sample grayscale image, a second discriminator optimizes the second generator and the second converter, a third generator generates a third sample matrix according to the second sample matrix, a third converter generates a second sample grayscale image, a third discriminator optimizes the third generator and the third converter, a fourth generator generates a fourth sample matrix according to the third sample matrix, a fourth converter generates a sample color image, and a fourth discriminator optimizes the fourth generator and the fourth converter. The image generation model can be trained easily.

Abstract: A method is described for training a model that refines estimated parameter values within core images is disclosed. The method includes receiving multiple training image pairs wherein each training image pair includes: (i) an unrefined core image of a rock sample to be used for estimating rock properties, and (ii) a refined core image of the same rock sample; generating a training dataset from the multiple training image pairs; receiving an initial core model; generating a conditioned core model by training, using the multiple training image pairs, the initial core model; and storing the conditioned core model in electronic storage. The conditioned core model may be applied to an initial target core image data set to generate a refined target sore image dataset. The method may be executed by a computer system.

Abstract: An image generation method and a computing device using the method, includes creating an image database with a plurality of original images, and obtaining a plurality of first outline images of an object by detecting an outline of the object in each of the original images. Numerous first feature matrixes are obtained by calculating a feature matrix of each of the first outline images. A second feature matrix of a second outline image input by a user is calculated. A target feature matrix is selected from the plurality of first feature matrixes, the target feature matrix has a minimum difference as the second feature matrix. A target image corresponding to the target feature matrix is matched and displayed from the image database. The method and device allow detection of an object outline in an image input by users and the generation of an image with the detected outline.

Abstract: In some examples, a method for conditioning a wafer processing chamber comprises setting a pressure in the chamber to a predetermined pressure range, setting a temperature of the chamber to a predetermined temperature, and supplying a process gas mixture to a gas distribution device within the chamber. A plasma is struck within the chamber and a condition in the chamber is monitored. Based on a detection of the monitored condition meeting or transgressing a threshold value, a chamber conditioning operation is implemented. The chamber conditioning operation may include depositing a preconditioning film onto an internal surface of the chamber, depositing a silicon oxycarbide (SiCO) film onto the preconditioning film, and depositing a protective layer onto the SiCO film.

Abstract: An image generation method and a computing device employing the method includes: acquiring a plurality of original images; and processing the plurality of original images to obtain a training data set. An anti-neural network model is trained according to the training data set. A candidate image is generated through the trained anti-neural network model. The candidate image is complemented through a detail completion network model to obtain a target image according to a comparison image. Thereby, a style of the generated image is the same as that of the comparison image. A more realistic image can be randomly generated saving the time and energy of artificially creating an image.

Abstract: A method is described for ways to generate a Fraction of Sand (Fsand) estimate and net-to-gross (NTG) estimate of sand in a formation using a machine-learning algorithm such as a neural network based on borehole image logs. The method may use the Fsand and other information to estimate hydrocarbons in place in a subsurface formation. The method may be executed by a computer system.

Abstract: A method for generating a model for facial sculpture based on a generative adversarial network (GAN) includes training a predetermined GAN based on a three-dimensional (3D) face dataset of multiple 3D face images to obtain a curvature map generation model and training a predetermined image translation model based on dataset of multiple image pairs to obtain a height map generation model. Target 3D face data is received, and the target 3D face data is inputted into the curvature map generation model to generate a target curvature map, and the target curvature map is inputted to the height map generation model to generate a target height map. The target height map is performed a 3D reconstruction to obtain a facial sculpture model corresponding to the target 3D face data. A computing device using the method is also provided.

Abstract: Forming a protective coating ex situ in an atomic layer deposition process to coat one or more chamber components subsequently installed in a reaction chamber provides a number of benefits over more conventional coating methods such as in situ deposition of an undercoat. In certain cases the protective coating may have a particular composition such as aluminum oxide, aluminum fluoride, aluminum nitride, yttrium oxide, and/or yttrium fluoride. The protective coating may help reduce contamination on wafers processed using the coated chamber component. Further, the protective coating may act to stabilize the processing conditions within the reaction chamber, thereby achieving very stable/uniform processing results over the course of processing many batches of wafers, and minimizing radical loss. Also described are a number of techniques that may be used to restore the protective coating after the coated chamber component is used to process semiconductor wafers.

Abstract: Forming a protective coating ex situ in an atomic layer deposition process to coat one or more chamber components subsequently installed in a reaction chamber provides a number of benefits over more conventional coating methods such as in situ deposition of an undercoat. In certain cases the protective coating may have a particular composition such as aluminum oxide, aluminum fluoride, aluminum nitride, yttrium oxide, and/or yttrium fluoride. The protective coating may help reduce contamination on wafers processed using the coated chamber component. Further, the protective coating may act to stabilize the processing conditions within the reaction chamber, thereby achieving very stable/uniform processing results over the course of processing many batches of wafers, and minimizing radical loss. Also described are a number of techniques that may be used to restore the protective coating after the coated chamber component is used to process semiconductor wafers.

Abstract: The present invention relates to the technical field of detection of the appearance of electronic components, and in particular to a method for detecting the appearance of six sides of a chip multi-layer ceramic capacitor based on artificial intelligence. In the method for detecting the appearance of six sides of a chip multi-layer ceramic capacitor based on artificial intelligence as provided by the present invention, a picture is automatically divided, by AI, into regions which are then classified, and extracted features are judged by conventional algorithms. It is more flexible to deal with various defects. Defect missing is avoided, and the false rate is reduced.

Abstract: A method is described for ways to generate a Fraction of Sand (Fsand) estimate and net-to-gross (NTG) estimate of sand in a formation using a machine-learning algorithm such as a neural network based on borehole image logs. The method may use the Fsand and other information to estimate hydrocarbons in place in a subsurface formation. The method may be executed by a computer system.

Abstract: A request is received at a virtual service simulating a particular data service. The request includes a uniform resource locator (URL) that includes a service root portion and a resource path portion identifying a particular resource of a data structure. Syntax of at least the resource path portion is verified based on a particular protocol. Consistency of the resource path portion with a structure of a data model corresponding to the particular data service is also verified. A query of a database is performed based on contents of at least the resource path portion and a simulated response of the particular data service to the request is generated using results of the query.

Abstract: A substrate processing system includes a first chamber including a substrate support. A showerhead is arranged above the first chamber and is configured to filter ions and deliver radicals from a plasma source to the first chamber. The showerhead includes a heat transfer fluid plenum including an inlet to receive heat transfer fluid and a plurality of flow channels to direct the heat transfer fluid through a center portion of the showerhead to an outlet to control a temperature of the showerhead, a secondary gas plenum including an inlet to receive secondary gas and a plurality of secondary gas injectors to inject the secondary gas into the first chamber, and a plurality of through holes passing through the showerhead. The through holes are not in fluid communication with the heat transfer fluid plenum or the secondary gas plenum.

Abstract: Disclosed are methods and systems for providing silicon carbide films. A layer of silicon carbide can be provided under process conditions that employ one or more silicon-containing precursors that have one or more silicon-hydrogen bonds and/or silicon-silicon bonds. The silicon-containing precursors may also have one or more silicon-oxygen bonds and/or silicon-carbon bonds. One or more radical species in a substantially low energy state can react with the silicon-containing precursors to form the silicon carbide film. The one or more radical species can be formed in a remote plasma source.

Abstract: Forming a protective coating ex situ in an atomic layer deposition process to coat one or more chamber components subsequently installed in a reaction chamber provides a number of benefits over more conventional coating methods such as in situ deposition of an undercoat. In certain cases the protective coating may have a particular composition such as aluminum oxide, aluminum fluoride, aluminum nitride, yttrium oxide, and/or yttrium fluoride. The protective coating may help reduce contamination on wafers processed using the coated chamber component. Further, the protective coating may act to stabilize the processing conditions within the reaction chamber, thereby achieving very stable/uniform processing results over the course of processing many batches of wafers, and minimizing radical loss. Also described are a number of techniques that may be used to restore the protective coating after the coated chamber component is used to process semiconductor wafers.