Abstract: A method for monitoring a rotor assembly of a wind turbine includes receiving, via an imaging analytics module of a controller, thermal imaging data of the rotor assembly. The thermal imaging data includes a plurality of image frames. The method also includes automatically identifying, via a first machine learning model of the imaging analytics module, a plurality of sections of a rotor blade of the rotor assembly within the plurality of image frames until all sections of the rotor blade are identified. Further, the method includes selecting, via a function of the imaging analytics module, a subset of image frames from the plurality of image frames, the subset of image frames comprising a minimum number of the plurality of image frames required to represent all sections of the rotor blade. Moreover, the method includes generating, via a visualization module of the controller, an image of the rotor assembly using the subset of image frames.

Abstract: A system for monitoring at least one component is provided. The system includes at least one processor in communication with at least one memory device. The at least one processor is programmed to store a plurality of baseline information associated with the at least one component to be monitored and receive a plurality of current images of the at least one component to be monitored. The at least one processor is also programmed to detect a deviation from baseline based upon a comparison of the plurality of current images and the plurality of baseline information. The at least one processor is further programmed to classify the deviation and implement a corrective action based on the classification of deviation.

Abstract: An inspection system is disclosed. The inspection system includes an image capturing system oriented to capture at least one component image of a component from at least one viewing angle, the at least one component image including a set of features selected to enable features of the components and features of defects on surfaces of the component to be identified, and a processor. The processor is configured to classify a type of defect detected on surfaces of the component in the at least one component image and assign zones to surfaces of the component captured in the at least one component image.

Abstract: A wind turbine blade inspection system for inspecting a wind turbine blade part, such as a wind turbine blade shell part or a wind turbine blade spar cap, for defects, is described. The wind turbine blade shell part extends in a longitudinal direction, and wherein the system comprises: at least a first image capturing device; conveying means for moving the at least first image capturing device along the wind turbine blade part and configured so as to capture a plurality of acquired images comprising first images of parts of the wind turbine blade part along the wind turbine blade part; and an image processing unit configured to identify an anomaly in the plurality of acquired images and identify whether the anomaly relates to a defect in the wind turbine blade part.

Abstract: A Gaussian transfer function is applied to a profile of a feature on an image of a workpiece generated using an electron beam metrology tool. This generates an output profile. Non-linearity of the output profile is determined. Two threshold values can be selected and plotted on an XY plane. Proximity of a slope of the threshold values to a comparison value is determined.

Abstract: A method for monitoring a rotor assembly of a wind turbine includes receiving, via an imaging analytics module of a controller, thermal imaging data of the rotor assembly that includes a plurality of image frames. The method includes automatically identifying, via a first machine learning model of the imaging analytics module, a plurality of sections of a rotor blade of the rotor assembly within the plurality of image frames until all sections of the rotor blade are identified. Further, the method includes selecting, via a function of the imaging analytics module, a subset of image frames from the plurality of image frames, the subset of image frames comprising a minimum number of the plurality of image frames required to represent all sections of the rotor blade. Moreover, the method includes generating, via a visualization module of the controller, an image of the rotor assembly using the subset of image frames.

Abstract: A method for performing a maintenance or repair of a rotor blade of a wind turbine, the method comprising: planning and scheduling data acquisition; acquiring data of the at least one rotor blade based on the planning and scheduling; processing and analyzing the acquired data using artificial intelligence; identifying (108) defects of the one rotor; and tracking and visualizing the identified defects of the rotor blade; performing a maintenance or a repair of the rotor blade; wherein processing and analyzing the acquired data using artificial intelligence includes determining one or more artificial intelligence, and wherein the artificial intelligence is trained based on previously acquired data of one or more rotor blades and the previously acquired data is further augmented using blending to obtain augmented training data, and wherein the blending includes a random cut and paste and/or a Poisson blending/alpha blending and/or a GAN based blending.

Abstract: Boundary cells are used to abut two standard cell blocks. A standard cell block for an integrated circuit device includes a first standard cell, and a first boundary cell disposed adjacent to the first standard cell and along a boundary of the standard cell block. The first boundary cell includes a first region, a first dummy region, and a first layer extension region. The first region is abutted with the first standard cell and the first dummy region. The first dummy region is abutted with the first layer extension region. The first region and the first dummy region each include one or more non-functional layers. The first region, the first dummy region, and the first layer extension region are of a first semiconductor type.

Abstract: A method receiving a dataset including a plurality of images, executing an embedding model using the plurality of images to generate a plurality of image embeddings, clustering the plurality of image embeddings into a plurality of clusters based on similarities between the plurality of image embeddings, determining a density for each cluster based on an aggregate similarity of image embeddings of the cluster, based on the density for each of the plurality of clusters satisfying a criterion, for each cluster: receiving a first set of annotations for one or more pixels of each of a first subset of the images included in the cluster, inputting the annotated first subset of images into a vision transformer with a remaining unannotated subset of images not included in the annotated first subset, and generating a second plurality of annotations for the remaining unannotated subset of images not included in the annotated first subset.

Abstract: Technologies are shown for selecting a provider to service a client service request using a consensus protocol and creating a block on a blockchain to service the client service request. In accordance with some aspects, a first miner receives parameters of each proposal transaction from a plurality of proposal transactions for servicing a client service request. The parameters of at least one proposal transaction from the plurality of proposal transactions is received from a second miner. The first miner uses a selection algorithm to select a first proposal transaction from the plurality of proposal transactions based on the parameters of each proposal transaction. The first miner appends a block to a blockchain based on the first proposal transaction.

Abstract: A base station (BS) and a method of operating the BS. The BS comprises a distributed unit (DU) and a radio unit (RU). The DU is configured to transmit control information to the RU using a control message. The DU is configured to transmit u-plane data to the RU using a u-plane message. The RU is configured to receive the u-plane message according to a semi persistent technique or a periodic technique. The control message comprises a c-plane message or an m-plane message. The control message comprises an indication to use the semi persistent technique or the periodic technique to receive the u-plane message. The indication is valid to be used by the RU to receive the u-plane message carrying the u-plane data and at least one u-plane message subsequently received by the RU, for a predetermined time period as indicated by the control message.

Abstract: Apparatuses, systems, and techniques to use a graphics processing unit are disclosed. In at least one embodiment, a length of a timeslice for executing work on a virtual machine is determined based, at least in part, on the amount of time prior work performed by a GPU exceeded a prior length of a timeslice. In some embodiments, a work portion and a preemption portion of a timeslice are changed or updated based on an amount of time spent performing prior work and an amount of time spent performing preemption of the prior work.

Abstract: A system for monitoring at least one component is provided. The system includes at least one processor in communication with at least one memory device. The at least one processor is programmed to store a plurality of baseline information associated with the at least one component to be monitored and receive a plurality of current images of the at least one component to be monitored. The at least one processor is also programmed to detect a deviation from baseline based upon a comparison of the plurality of current images and the plurality of baseline information. The at least one processor is further programmed to classify the deviation and implement a corrective action based on the classification of deviation.

Abstract: Embodiments of the present disclosure provide a method of communication in a base station (BS). The BS comprising a distributed unit (DU) and at least one radio unit (RU), said DU performs High-PHY processing and said RU performs low-PHY processing. The method comprises transmitting, by the DU, a control information to the at least one RU using at least one of a c-plane message and a m-plane message, and data using au-plane message. The u-plane message is transmitted in one of a semi persistent and periodic technique. The transmitting of the at least one of a c-plane message and am-plane message indicates the u-plane data as one of a semi persistent and a periodic, said transmitting is valid for the u-plane messages carrying the u-plane data for a predetermined time period.

Abstract: Embodiments of the present disclosure provide a method of communication in a base station (BS). The BS comprising a distributed unit (DU) and at least one radio unit (RU), said DU performs High-PHY processing and said RU performs low-PHY processing. The method comprises transmitting, by the DU, a control information to the at least one RU using at least one of a c-plane message and a m-plane message, and data using au-plane message. The u-plane message is transmitted in one of a semi persistent and periodic technique. The transmitting of the at least one of a c-plane message and am-plane message indicates the u-plane data as one of a semi persistent and a periodic, said transmitting is valid for the u-plane messages carrying the u-plane data for a predetermined time period.

Abstract: An inspection system is disclosed. The inspection system includes an image capturing system oriented to capture at least one component image of a component from at least one viewing angle, the at least one component image including a set of features selected to enable features of the components and features of defects on surfaces of the component to be identified, and a processor. The processor is configured to classify a type of defect detected on surfaces of the component in the at least one component image and assign zones to surfaces of the component captured in the at least one component image.

Abstract: Methods, systems, and apparatus are described for maintaining the interior cavities of pipes. In one aspect, a motorized apparatus includes a main body having a length extending along a longitudinal axis of the main body, where the main body comprises a first end and a second end opposite the first end. The motorized apparatus further includes at least one drive assembly coupled to at least one of the first end and the second end of the main body, where the at least one drive assembly comprises driven members that engage with an inner surface of the pipe and move the motorized apparatus through an interior cavity of the pipe. The motorized apparatus further includes a maintenance head movably coupled to the main body that moves along the length of the main body and rotates about the longitudinal axis of the main body, where the maintenance head comprises at least one tool configured to perform an action on the inner surface of the pipe.

Abstract: Systems and methods for device control using near real time learning are disclosed. For example, an automatic action is performed by a target device in response to a predefined condition being met. Thereafter, context data is gathered and utilized to determine whether a negative user reaction has been provided in response to performance of the automatic action. When a negative user reaction is determined, mitigating actions may be taken close in time to when the context data is received to prevent further negative user reactions.

Abstract: Technologies are shown for high granularity metric (HGM)-based control for smart contract execution. In accordance with some aspects, a function call associated with one or more methods of a smart contract on a blockchain is detected by identifying an entrance or exit of the function call in a kernel for smart contract execution on the blockchain. The function call is added to a function call stack, and one or more detected HGMs are identified in the function call stack. A comparison of the detected HGMs in the function call stack against one or more control rules is performed. Execution or completion of the function call is blocked based on the comparison.

Abstract: A method for controlling a robotic system includes determining a location and/or a pose of a power system component based on data received from one or more sensors, and determining a mapping of a location of a robotic system within a model of an external environment of the robotic system based on the data. The model of the external environment provides locations of objects external to the robotic system. A sequence of movements of components of the robotic system is determined to perform maintenance on the power system component based on the locations of the objects external to the robotic system and/or the location or pose of the power system component. One or more control signals are communicated to remotely control movement of the components of the robotic system based on the sequence or movements of the components to perform maintenance on the power system component.