Abstract: Provided is a method for detecting ammonia nitrogen content by using a nitrification biological reaction. In the present disclosure, the nitrifying microorganisms have high specificity for ammonia nitrogen, a metabolism and oxygen consumption capacity closely related to the ammonia nitrogen concentration, high accuracy and high sensitivity of ammonia nitrogen detection, and are not easily disturbed by water body chromaticity, suspended matters, and the like. In addition, the activity of the nitrification microorganism membrane reactor can be kept stable for a long term, and the stability of a sensor is good for long-term use. In the present disclosure, with a mono-component or multi-component solution containing inorganic nitrogen and inorganic carbon as a nitrification nutrient solution, a nitrification microorganism membrane with strong adaptability to the environment, a stable structure, a high selectivity for ammonia nitrogen, and an ability of efficiently degrading ammonia nitrogen can be obtained.

Abstract: The disclosure herein describes generating an inpainted image from a masked image using a patch-based encoder and an unquantized transformer. An image including a masked region and an unmasked region is received, and the received image is divided into a plurality of patches including masked patches. The plurality of patches is encoded into a plurality of feature vectors, wherein each patch is encoded to a feature vector. Using a transformer, a predicted token is generated for each masked patch using a feature vector encoded from the masked patch, and a quantized vector of the masked patch is determined using generated predicted token and a masked patch-specific codebook. The determined quantized vector of the masked patch is included into a set of quantized vectors associated with the plurality of patches, and an output image is generated from the set of quantized vectors using a decoder.

Abstract: Various lithium cobalt oxides materials doped with one or more metal dopants having a chemical formula of LixCoyOz (doped Me1a Me2b Me3c . . . MeNn), and method and apparatus of producing the various lithium cobalt oxides materials are provided. The method includes adjusting a molar ratio MLiSalt:MCoSalt:MMe1Salt:MMe2Salt:MMe3Salt:. . . MMeNSalt of a lithium-containing salt, a cobalt-containing salt and one or more metal-dopant-containing salts within a liquid mixture to be equivalent to a ratio of x:y:a:b:c: . . . n , drying a mist of the liquid mixture in the presence of a gas to form a gas-solid mixture, separating the gas-solid mixture into one or more solid particles of an oxide material, and annealing the solid particles of the oxide material in the presence of another gas flow to obtain crystalized particles of the lithium cobalt oxide material. The process system has a mist generator, a drying chamber, one or more gas-solid separator, and one or more reactors.

Abstract: Various lithium cobalt oxides materials having a chemical formula of LixCoyOz, and method and apparatus of producing the various lithium cobalt oxides materials are provided. The method includes adjusting a molar ratio MLiSalt:MCoSalt of a lithium-containing salt, and a cobalt-containing salt within a liquid mixture to be equivalent to a ratio of x:y, drying a mist of the liquid mixture in the presence of a gas to form a gas-solid mixture, separating the gas-solid mixture into one or more solid particles of an oxide material, and annealing the solid particles of the oxide material in the presence of another gas flow to obtain crystallized particles of the lithium cobalt oxide material. The process system has a mist generator, a drying chamber, one or more gas-solid separator, and one or more reactors.

Abstract: Systems and methods for object detection generate a feature pyramid corresponding to image data, and rescaling the feature pyramid to a scale corresponding to a median level of the feature pyramid, wherein the rescaled feature pyramid is a four-dimensional (4D) tensor. The 4D tensor is reshaped into a three-dimensional (3D) tensor having individual perspectives including scale features, spatial features, and task features corresponding to different dimensions of the 3D tensor. The 3D tensor is used with a plurality of attention layers to update a plurality of feature maps associated with the image data. Object detection is performed on the image data using the updated plurality of feature maps.

Abstract: A sampling robot, a robot system for goods sampling and detection and a detection method are disclosed. The image collection unit takes photos of a sample. The refrigeration unit stores the sample at a preset temperature. The biometric information collection unit collects the biometric information of the operator. The intelligent mobile unit moves according to a planned path. The control unit provides destination information to the intelligent mobile unit and judges whether the current sample is a sample to be detected, and judges the biometric information of the operator.

Abstract: A computer device for automatic feature detection comprises a processor, a communication device, and a memory configured to hold instructions executable by the processor to instantiate a dynamic convolution neural network, receive input data via the communication network, and execute the dynamic convolution neural network to automatically detect features in the input data. The dynamic convolution neural network compresses the input data from an input space having a dimensionality equal to a predetermined number of channels into an intermediate space having a dimensionality less than the number of channels. The dynamic convolution neural network dynamically fuses the channels into an intermediate representation within the intermediate space and expands the intermediate representation from the intermediate space to an expanded representation in an output space having a higher dimensionality than the dimensionality of the intermediate space.

Abstract: A neural architecture search (NAS) with a weak predictor comprises: receiving network architecture scoring information; iteratively sampling a search space, wherein the sampling comprises: generating a set of candidate architectures within the search space; learning a first predictor; evaluating performance of the candidate architectures; and based on at least the performance of the set of candidate architectures and the network architecture scoring information, refining the search space to a smaller search space; based on at least the network architecture scoring information, thresholding the performance of candidate architectures to determine scored output candidate architectures; and reporting the scored output candidate architectures. In some examples, the candidate architectures each comprise a machine learning (ML) model, for example a neural network (NN).

Abstract: Various lithium cobalt oxides materials doped with one or more metal dopants having a chemical formula of Lix Coy Oz (doped Me1a Me2b Me3c . . . MeNn), and method and apparatus of producing the various lithium cobalt oxides materials are provided. The method includes adjusting a molar ratio MLiSalt:MCoSalt:MMe1Salt:MMe2Salt:MMe3Salt: . . . MMeNSalt of a lithium-containing salt, a cobalt-containing salt and one or more metal-dopant-containing salts within a liquid mixture to be equivalent to a ratio of x:y:a:b:c: . . . n, drying a mist of the liquid mixture in the presence of a gas to form a gas-solid mixture, separating the gas-solid mixture into one or more solid particles of an oxide material, and annealing the solid particles of the oxide material in the presence of another gas flow to obtain crystalized particles of the lithium cobalt oxide material. The process system has a mist generator, a drying chamber, one or more gas-solid separator, and one or more reactors.

Abstract: Various lithium cobalt oxides materials having a chemical formula of Lix Coy Oz, and method and apparatus of producing the various lithium cobalt oxides materials are provided. The method includes adjusting a molar ratio MLiSalt:MCoSalt of a lithium-containing salt, and a cobalt-containing salt within a liquid mixture to be equivalent to a ratio of x:y, drying a mist of the liquid mixture in the presence of a gas to form a gas-solid mixture, separating the gas-solid mixture into one or more solid particles of an oxide material, and annealing the solid particles of the oxide material in the presence of another gas flow to obtain crystalized particles of the lithium cobalt oxide material. The process system has a mist generator, a drying chamber, one or more gas-solid separator, and one or more reactors.