Abstract: A method of inspecting a component using an image retrieval module includes storing an inspection image file in a memory and identifying a region of interest in the inspection image file. The method further includes accessing a database storing image files and determining feature vectors associated with the image files. The method also includes determining a hash code for each image file based on the feature vectors and classifying a subset of image files as relevant based on the hash codes. The method further includes sorting the subset of image files based on the feature vectors and generating search results based on the sorted subset of image files. The image retrieval module includes a convolutional neural network configured to learn from the determination of the feature vectors and increase the accuracy of the image retrieval module in classifying the image files.

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: 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 a u-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 a m-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: Technologies are shown for storing sub-component state data for a resource on a blockchain involving generating a resource data block that corresponds to a resource that includes links that correspond to sub-components of the resource, generating a first sub-component state data block for a sub-component of the resource on a blockchain that includes first state data for the first sub-component, and setting the link for the sub-component to reference the first sub-component state data block. Subsequently, a second sub-component state data block can be generated for the sub-component with second state data and the second sub-component state data block linked to the first sub-component state data block.

Abstract: Technologies are shown for selecting a provider to service a client service request using a predictive metrics based consensus protocol to select a provider and create a service request transaction block to service the client service request. A client service request is received and forwarded to a set of providers. Proposed transactions are received from the providers and scored based on a predictive metric. A proposal transaction is selected based on the scoring and the selected transaction is written as a block on a service transaction blockchain. The provider for the selected transaction detects the block on the blockchain and performs the requested service. The client detects the block on the blockchain and transfers payment to the provider. Selection can be based on predictive metrics in the providers or macro metrics determined in miner nodes in combination with provider reputation, currency, load sharing, fairness, provisioning, and static and dynamic criteria.

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: 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: According to some embodiments, a system and method are provided comprising a vegetation management module to receive image data from an image source; a memory for storing program instructions; a vegetation management processor, coupled to the memory, and in communication with the vegetation module, and operative to execute program instructions to: receive first image data and second image data for an area of interest; overlay the first image data over the second image data to generate an overlaid image; receive feeder attribute data for at least one feeder in the overlaid image; generate a risk score for the at least one feeder based in part on the received feeder attribute data; and generate a visualization based on the at least one feeder and the generated risk score. Numerous other aspects are provided.

Abstract: Technologies are shown for HGM based control for smart contract execution. HGM control rules control function calls at a system level utilizing function boundary detection instrumentation in a kernel that executes smart contracts. The detection instrumentation generates a call stack that represents a chain of function calls in the kernel for a smart contract. The HGM control rules are applied to HGMs collected from the call stack to allow or prohibit specific HGMs observed in functions or function call chains. HGM control rules can use dynamic state data in the function call chain. If the dynamic state data observed in function call chains does not meet the requirements defined in the HGM control rules, then the function call can be blocked from executing or completing execution. The HGM control rules can be generated by executing known sets of acceptable or vulnerable smart contracts and collecting the resulting HGMs.

Abstract: Technologies are shown for HGM based control for smart contract execution. HGM control rules control function calls at a system level utilizing function boundary detection instrumentation in a kernel that executes smart contracts. The detection instrumentation generates a call stack that represents a chain of function calls in the kernel for a smart contract. The HGM control rules are applied to HGMs collected from the call stack to allow or prohibit specific HGMs observed in functions or function call chains. HGM control rules can use dynamic state data in the function call chain. If the dynamic state data observed in function call chains does not meet the requirements defined in the HGM control rules, then the function call can be blocked from executing or completing execution. The HGM control rules can be generated by executing known sets of acceptable or vulnerable smart contracts and collecting the resulting HGMs.

Abstract: Disclosed is technology for storing original work data on a derivative work data blockchain along with code for verifying that derivative work data is derivative of the original work data. The technology involves receiving derivative work data from a submitting entity along with proof data showing that the derivative work is derivative of the original work. If the derivative work data is verified as derivative, then the derivative work data is appended to the derivative work data blockchain.

Abstract: Technologies are shown for system level function based access control for smart contract execution on a blockchain. Access control rules control function calls at a system level by utilizing function boundary detection instrumentation in a kernel that executes smart contracts. The detection instrumentation generates a call stack that represents a chain of function calls in the kernel for execution of a smart contract. The access control rules are applied to the function call stack to allow or prohibit specific functions or function call chains. Access control rules can also define allowed or prohibited parameter data in the function call chain. If the function call chain or parameters do not meet the requirements defined in the access control rules, then the function call can be blocked from executing or completing execution. The access control rules can produce sophisticated access control policies based on complex function call chains.

Abstract: The present approach relates to an automatic and efficient motion plan for a drone to collect and save a qualified dataset that may be used to improve reconstruction of 3D models using the acquired data. The present architecture provides an automatic image processing context, eliminating low quality images and providing improved image data for point cloud generation and texture mapping.

Abstract: Disclosed is technology for storing original work data on a derivative work data blockchain along with code for verifying that derivative work data is derivative of the original work data. The technology involves receiving derivative work data from a submitting entity along with proof data showing that the derivative work is derivative of the original work. If the derivative work data is verified as derivative, then the derivative work data is appended to the derivative work data blockchain.

Abstract: Technologies are shown for function level permissions control for smart contract execution to implement permissions policy on a blockchain. Permissions control rules control function calls at a system level utilizing function boundary detection instrumentation in a kernel that executes smart contracts. The detection instrumentation generates a call stack that represents a chain of function calls in the kernel for a smart contract. The permissions control rules are applied to the call stack to implement permissions control policy. Permissions control rules can use dynamic state data in the function call chain. If the dynamic state data observed in function call chains does not meet the requirements defined in the permissions control rules, then the function call can be blocked from executing or completing execution. The permissions control rules can be generated for a variety of different entities, such as a domain, user or resource.

Abstract: A method of inspecting a component using an image retrieval module includes storing an inspection image file in a memory and identifying a region of interest in the inspection image file. The method further includes accessing a database storing image files and determining feature vectors associated with the image files. The method also includes determining a hash code for each image file based on the feature vectors and classifying a subset of image files as relevant based on the hash codes. The method further includes sorting the subset of image files based on the feature vectors and generating search results based on the sorted subset of image files. The image retrieval module includes a convolutional neural network configured to learn from the determination of the feature vectors and increase the accuracy of the image retrieval module in classifying the image files.

Abstract: Technologies are shown for system level function based access control for smart contract execution on a blockchain. Access control rules control function calls at a system level by utilizing function boundary detection instrumentation in a kernel that executes smart contracts. The detection instrumentation generates a call stack that represents a chain of function calls in the kernel for execution of a smart contract. The access control rules are applied to the function call stack to allow or prohibit specific functions or function call chains. Access control rules can also define allowed or prohibited parameter data in the function call chain. If the function call chain or parameters do not meet the requirements defined in the access control rules, then the function call can be blocked from executing or completing execution. The access control rules can produce sophisticated access control policies based on complex function call chains.

Abstract: Technologies are shown for function level permissions control for smart contract execution to implement permissions policy on a blockchain. Permissions control rules control function calls at a system level utilizing function boundary detection instrumentation in a kernel that executes smart contracts. The detection instrumentation generates a call stack that represents a chain of function calls in the kernel for a smart contract. The permissions control rules are applied to the call stack to implement permissions control policy. Permissions control rules can use dynamic state data in the function call chain. If the dynamic state data observed in function call chains does not meet the requirements defined in the permissions control rules, then the function call can be blocked from executing or completing execution. The permissions control rules can be generated for a variety of different entities, such as a domain, user or resource.

Abstract: Technologies are shown for storing sub-component state data for a resource on a blockchain involving generating a resource data block that corresponds to a resource that includes links that correspond to sub-components of the resource, generating a first sub-component state data block for a sub-component of the resource on a blockchain that includes first state data for the first sub-component, and setting the link for the sub-component to reference the first sub-component state data block. Subsequently, a second sub-component state data block can be generated for the sub-component with second state data and the second sub-component state data block linked to the first sub-component state data block.

Abstract: Technologies are shown for storing component state data for a resource on a blockchain involving generating a resource data block that corresponds to a resource that includes links that correspond to components of the resource, generating a first component state data block for a component of the resource on a blockchain that includes first state data for the first component, and setting the link for the component to reference the first component state data block. Subsequently, a second component state data block can be generated for the component with second state data and the second component state data block linked to the first component state data block.