Abstract: Disclosed are a [1,2,4]triazolo[1,5-a]pyridine compound as JAK inhibitor and an application thereof in preparing a drug for treating a disease related to JAK1 or/and TYK2. Specifically, the present invention relates to a compound represented by formula (I), or an isomer or pharmaceutically acceptable salt thereof.

Abstract: A system for determining corrosion under insulation of an industrial asset is provided. The system includes an infrared camera configured to acquire one or more time-series infrared images of an industrial asset. The system further includes a computing device configured to receive data characterizing the one or more time-series infrared images, and to identify an area of interest of the industrial asset within the one or more time-series infrared images. The computing device further configured to identify, by a machine learning algorithm, a plurality of defects within the area of interest based on pixel-wise assignment of at least one defect category selected from a plurality of defect categories associated with corrosion under insulation of the industrial asset, and to provide the plurality of defects within the area of interest of the industrial asset. Related methods, apparatuses, and computer-readable mediums are also provided.

Abstract: An apparatus, system and method of providing industrial analytics. The apparatus, system and method include at least a plurality of sensors sensing performance indicators for an industrial process across multiple nodes, wherein ones of the multiple nodes are remote from each other; at least one machine learning module comprising non-transitory computing code executed by a processor. When executed by the processor, the code causes the steps of: receiving user input regarding at least the industrial process and a data set; selecting a model based on at least the user input, wherein the selected model comprises a plurality of learnings based on the performance indicators sensed by multiple sensors across at least multiple ones of the multiple nodes; applying the selected model to the data set; assessing at least the performance indicators for the data set upon application of the selected model; and outputting the assessed performance indicator.

Abstract: In an embodiment, a volumetry method is provided. The method can include receiving one or more 2D images of a site including one or more containers configured to hold a liquid, the 2D images being acquired at a first time. The method can also include identifying a container within the 2D images. The method can further include selecting an identified container within the 2D images for volumetric analysis based upon a degree of occlusion of its front facing surface. The method can additionally include classifying a portion of the selected container containing the liquid. The method can further include determining the volume of liquid held within the container based upon the classified portion.

Abstract: A method of analyzing an asset is provided. The method can include receiving first data characterizing an industrial asset. The first data can be acquired via a sensor. The method can also include determining a condition of the industrial asset based on a 3D digital twin of the industrial asset. The 3D digital twin can be generated using second data acquired prior to the first data. The digital twin can include at least one 3D digital instance of at least one component of the industrial asset and a list of components of the industrial asset described according to a pre-defined taxonomy associated with the industrial asset. The method can also include providing the condition of the industrial asset. Related apparatuses, systems, and computer-readable mediums are also provided.

Abstract: An apparatus, system and method of providing industrial analytics. The apparatus, system and method include at least a plurality of sensors sensing performance indicators for an industrial process across multiple nodes, wherein ones of the multiple nodes are remote from each other; at least one machine learning module comprising non-transitory computing code executed by a processor. When executed by the processor, the code causes the steps of: receiving user input regarding at least the industrial process and a data set; selecting a model based on at least the user input, wherein the selected model comprises a plurality of learnings based on the performance indicators sensed by multiple sensors across at least multiple ones of the multiple nodes; applying the selected model to the data set; assessing at least the performance indicators for the data set upon application of the selected model; and outputting the assessed performance indicator.

Abstract: A method for determining a change in an asset and/or a characterization of an asset is provided. In an embodiment, the method can include receiving first data characterizing a target site including one or more assets. The method can also include generating a three-dimensional model of the target site based on the first data. The method can further include registering the first data with the three-dimensional model. The method can also include generating at least one three-dimensional projection onto at least one asset of the one or more assets included in the first data. The method can further include determining second data characterizing the at least one asset based on the at least on three-dimensional projection and providing the second data. In some embodiments, the method can be performed by systems or stored as instructions on computer readable mediums described herein.

Abstract: Computer vision based systems, and methods are provided for generating plume analysis data from a plurality of input image frames as captured by a camera. Image data associated with a plume of gas is received and provided as inputs to a predictive model used to determine plume analysis data including a plume prediction segmentation mask associated with the plume of gas. Other attributes of the plume are also estimated from the prediction segmentation mask such as cross-sectional area, cross-sectional velocity, leak source pixel and volumetric leak rates. The plume analysis data can be provided as an overlay atop the image data. The plume analysis data overlaid atop the image data can be transmitted by and/or to one or more computing devices.

Abstract: In an embodiment, a volumetry method is provided. The method can include receiving one or more 2D images of a site including one or more containers configured to hold a liquid, the 2D images being acquired at a first time. The method can also include identifying a container within the 2D images. The method can further include selecting an identified container within the 2D images for volumetric analysis based upon a degree of occlusion of its front facing surface. The method can additionally include classifying a portion of the selected container containing the liquid. The method can further include determining the volume of liquid held within the container based upon the classified portion.

Abstract: Embodiments of the present disclosure provide a method, a computer program product and a computing device for software test by wherein a computing device, wherein at least one virtual hardware component, each virtual hardware component simulating a behavior of a hardware component associated with a to-be-tested software, and testing the to-be-tested software based on the behavior simulated by the at least one virtual hardware component.

Abstract: Embodiments of the present disclosure provide a method, a computer program product and a computing device for software test by wherein a computing device, wherein at least one virtual hardware component, each virtual hardware component simulating a behavior of a hardware component associated with a to-be-tested software, and testing the to-be-tested software based on the behavior simulated by the at least one virtual hardware component.

Abstract: Techniques for secure voice authentication. In one example, a method includes the following steps. A first computing device initiates establishment of a secure channel between the first computing device and a second computing device. The first computing device includes a trusted device and the second computing device at least partially hosts a service that a user of the trusted device seeks to access. A prompt is received at the first computing device from the second computing device over the secure channel. The prompt requests a user voice response for use in making an authentication decision for the user based on the user voice response.