Abstract: A digital technology transfer system transforms technology transfer documents to a set of digitized manufacturing procedures and operations documentation. The system can transform a technology transfer document to a hierarchical structured model representing a package, or product to be manufactured, and the process for manufacturing the product. The resulting package model can be integrated into a larger model representing an ecosystem of manufacturing entities and plant facilities by assigning steps of the manufacturing process to one or more selected production lines. To reduce dependency on custom-built parsers for each type of document format, the system integrating both custom and general parsing mechanisms into a scalable parser orchestration engine.

Abstract: A digital technology transfer system transforms technology transfer documents to a set of digitized manufacturing procedures and operations documentation. The system can transform a technology transfer document to a hierarchical structured model representing a package, or product to be manufactured, and the process for manufacturing the product. The resulting package model can be integrated into a larger model representing an ecosystem of manufacturing entities and plant facilities by assigning steps of the manufacturing process to one or more selected production lines. To reduce dependency on custom-built parsers for each type of document format, the system integrating both custom and general parsing mechanisms into a scalable parser orchestration engine.

Abstract: Various embodiments relate to systems and methods for providing machine learning of supervised and unsupervised data by: receiving a set of industrial data associated with one or more industrial components within an industrial system; generating a classification for each of the set of industrial data using each of a set of models; generating an evaluation value for each of the set of models based on the classifications for each industrial data; and selecting one or more models according to the evaluation values.

Abstract: The present disclosure provides a water storage tank and a gas water heater. The water storage tank includes: a tank body provided with an interface at one end; an adapter provided with a water inlet connector, a water outlet connector, and a waste discharge connector; and a connection pipe installed in the tank body, one end of the connection pipe communicating with the water outlet connector, another end of the connection pipe being spaced apart from an end of the tank body away from the interface.

Abstract: Various embodiments of the present technology generally relate to condition monitoring in industrial environments. More specifically, some embodiments relate to an embedded analytic engine for motor drives that monitors induction motor conditions for potential failures including rotor faults and stator faults. In an embodiment, a condition monitoring module is configured to obtain runtime signal data from a controller within a drive, derive runtime metrics from the runtime signal data based on an induction motor fault condition, provide the runtime metrics as input to a machine learning model constructed to identify a status of the induction motor based on the runtime metrics and output the status, and monitor the induction motor fault condition based on the status of the induction motor output by the machine learning model.

Abstract: The present disclosure provides a water storage tank and a gas water heater. The water storage tank includes: a tank body provided with an interface at one end; an adapter provided with a water inlet connector, a water outlet connector, and a waste discharge connector; and a connection pipe installed in the tank body, one end of the connection pipe communicating with the water outlet connector, another end of the connection pipe being spaced apart from an end of the tank body away from the interface.

Abstract: The present invention relates to use of an Anaplasma phagocytophilum protein APH1384 as diagnostic antigen for granulocytic anaplasmosis. The protein can remedy the drawback of missed detection of an existing diagnostic antigen P44 for granulocytic anaplasmosis, improve sensitivity of detection for granulocytic anaplasmosis, and facilitate rapid and accurate clinical diagnosis of granulocytic anaplasmosis.

Abstract: The present invention relates to use of an Anaplasma phagocytophilum protein APH1384 as diagnostic antigen for granulocytic anaplasmosis. The protein can remedy the drawback of missed detection of an existing diagnostic antigen P44 for granulocytic anaplasmosis, improve sensitivity of detection for granulocytic anaplasmosis, and facilitate rapid and accurate clinical diagnosis of granulocytic anaplasmosis.

Abstract: An objective assessment method for a stereoscopic image quality combined with manifold characteristics and binocular characteristics trains a matrix after dimensionality reduction and whitening obtained from natural scene plane images through an orthogonal locality preserving projection algorithm, for obtaining a best mapping matrix. Image blocks, not important for visual perception, are removed. After finishing selecting the image blocks, through the best mapping matrix, manifold characteristic vectors of the image blocks are extracted, and a structural distortion of a distorted image is measured according to a manifold characteristic similarity. Considering influences of an image luminance variation on human eyes, a luminance distortion of the distorted image is calculated according to a mean value of the image blocks.

Abstract: An objective assessment method for a color image quality based on online manifold learning considers a relationship between a saliency and an image quality objective assessment. Through a visual saliency detection algorithm, saliency maps of a reference image and a distorted image are obtained for further obtaining a maximum fusion saliency map. Based on maximum saliencies of image blocks in the maximum fusion saliency map, a saliency difference between each reference image block and a corresponding distorted image block is measured through an absolute difference, and thus reference visual important image blocks and distorted visual important image blocks are screened and extracted. Through manifold eigenvectors of the reference visual important image blocks and the distorted visual important image blocks, an objective quality assessment value of the distorted image is calculated.

Abstract: An objective assessment method for a color image quality based on online manifold learning considers a relationship between a saliency and an image quality objective assessment. Through a visual saliency detection algorithm, saliency maps of a reference image and a distorted image are obtained for further obtaining a maximum fusion saliency map. Based on maximum saliencies of image blocks in the maximum fusion saliency map, a saliency difference between each reference image block and a corresponding distorted image block is measured through an absolute difference, and thus reference visual important image blocks and distorted visual important image blocks are screened and extracted. Through manifold eigenvectors of the reference visual important image blocks and the distorted visual important image blocks, an objective quality assessment value of the distorted image is calculated.

Abstract: An objective assessment method for a stereoscopic image quality combined with manifold characteristics and binocular characteristics trains a matrix after dimensionality reduction and whitening obtained from natural scene plane images through an orthogonal locality preserving projection algorithm, for obtaining a best mapping matrix. Image blocks, not important for visual perception, are removed. After finishing selecting the image blocks, through the best mapping matrix, manifold characteristic vectors of the image blocks are extracted, and a structural distortion of a distorted image is measured according to a manifold characteristic similarity. Considering influences of an image luminance variation on human eyes, a luminance distortion of the distorted image is calculated according to a mean value of the image blocks.