Abstract: Distributed ledger-based networks (DLNs) employ self-executing codes, also known as smart contracts, to manage interactions occurring on the networks, which may result in the generation of a massive amount of DLN state data representing the interactions and participants thereof. The instant disclosure discloses systems, apparatus and methods that allow interactions to occur on the DLNs without modification to stored data, thereby improving the storage capabilities of the networks.

Abstract: In some embodiments, a method includes identifying a set of word bounding boxes in a first electronic document, and identifying locations of horizontal white space between two adjacent rows from a set of rows in a table. The method includes determining, using a Natural Language Processing algorithm, an entity name from a set of entity names for each table cell from a set of table cells in the table. The method includes determining, using a machine learning algorithm a class from a set of classes for each row from the set of rows. The method includes extracting a set of table cell values associated with the set of table cells, and generating a second electronic document including the set of table cell values arranged in the set of rows and the set of columns such that the set of words in the table are computer-readable in the second electronic document.

Abstract: In some embodiments, a method includes generating, based on distributed ledger data associated with a first distributed ledger-based network (DLN), distributed ledger data associated with a second DLN. The first DLN and the second DLN each is a fork and the distributed ledger data associated with the first DLN include account data associated with a set of accounts. The method includes generating a request to initiate a transaction between a first account and a second account. The method includes authenticating the transaction based on a protocol associated with the second DLN and without using a private cryptographic key of the first account. The method includes sending a signal indicating the transaction was authenticated and storing information associated with the transaction in the distributed ledger data associated with the second DLN.

Abstract: A node is provided for implementing an asset sharing scheme in which the asset is mobile. The node being is to determine a location of the mobile asset in dependence on data, relating to the mobile asset, that is recorded in a data corpus authenticated by a distributed authentication protocol. The node may be configured to interact with other nodes to implement the distributed authentication protocol.

Abstract: A method includes generating, via a processor, a bill of materials (BOM) representation associated with a BOM indicating at least one good and including a representation of a plurality of dependencies to qualify the at least one good for at least one of a regulatory claim, a duty benefit claim or an admissibility claim. A smart contract code for a compliance declaration smart contrast that references the BOM representation is transmitted via the processor and to a distributed ledger. A representation of the plurality of assertion token is received, via the processor, from a plurality of remote compute devices, and in response to deploying the compliance declaration smart contract. A compliance declaration token is minted, via the processor, in response to receiving the representation of a plurality of assertion tokens and based on the compliance declaration smart contract.

Abstract: Methods and apparatus for end-to-end document image quality assessment without having ground truth for characters. An image quality assessment device integrates end-to-end machine learning without using ground truth to automatically predict an overall quality scores for images of documents. The image quality assessment device augments the size of individual image patches extracted from the images based on the contents and size of the images to maintain sufficient size of training data without compromising the reliability of the predicted scores for the images.

Abstract: A method for extracting data from lineless tables includes storing an image including a table in a memory. A processor operably coupled to the memory identifies a plurality of text-based characters in the image, and defines multiple bounding boxes based on the characters. Each of the bounding boxes is uniquely associated with at least one of the text-based characters. A graph including multiple nodes and multiple edges is generated based on the bounding boxes, using a graph construction algorithm. At least one of the edges is identified for removal from the graph, and removed from the graph to produce a reduced graph. The reduced graph can be sent to a neural network to predict row labels and column labels for the table.

Abstract: In some embodiments, a method includes identifying a set of word bounding boxes in a first electronic document, and identifying locations of horizontal white space between two adjacent rows from a set of rows in a table. The method includes determining, using a Natural Language Processing algorithm, an entity name from a set of entity names for each table cell from a set of table cells in the table. The method includes determining, using a machine learning algorithm a class from a set of classes for each row from the set of rows. The method includes extracting a set of table cell values associated with the set of table cells, and generating a second electronic document including the set of table cell values arranged in the set of rows and the set of columns such that the set of words in the table are computer-readable in the second electronic document.

Abstract: Distributed ledger-based networks (DLNs) employ self-executing codes, also known as smart contracts, to manage interactions occurring on the networks, which may result in the generation of a massive amount of DLN state data representing the interactions and participants thereof. The instant disclosure discloses systems, apparatus and methods that allow interactions to occur on the DLNs without modification to stored data, thereby improving the storage capabilities of the networks.

Abstract: In some embodiments, a method includes generating, based on distributed ledger data associated with a first distributed ledger-based network (DLN), distributed ledger data associated with a second DLN. The first DLN and the second DLN each is a fork and the distributed ledger data associated with the first DLN include account data associated with a set of accounts. The method includes generating a request to initiate a transaction between a first account and a second account. The method includes authenticating the transaction based on a protocol associated with the second DLN and without using a private cryptographic key of the first account. The method includes sending a signal indicating the transaction was authenticated and storing information associated with the transaction in the distributed ledger data associated with the second DLN.

Abstract: Distributed ledger-based networks (DLNs) employ self-executing codes, also known as smart contracts, to manage interactions occurring on the networks, which may result in the generation of a massive amount of DLN state data representing the interactions and participants thereof. The instant disclosure discloses systems, apparatus and methods that allow interactions to occur on the DLNs without modification to stored data, thereby improving the storage capabilities of the networks.

Abstract: A method includes generating, via a processor, a bill of materials (BOM) representation associated with a BOM indicating at least one good and including a representation of a plurality of dependencies to qualify the at least one good for at least one of a regulatory claim, a duty benefit claim or an admissibility claim. A smart contract code for a compliance declaration smart contrast that references the BOM representation is transmitted via the processor and to a distributed ledger. A representation of the plurality of assertion token is received, via the processor, from a plurality of remote compute devices, and in response to deploying the compliance declaration smart contract. A compliance declaration token is minted, via the processor, in response to receiving the representation of a plurality of assertion tokens and based on the compliance declaration smart contract.

Abstract: In some embodiments, a method includes identifying a set of word bounding boxes in a first electronic document, and identifying locations of horizontal white space between two adjacent rows from a set of rows in a table. The method includes determining, using a Natural Language Processing algorithm, an entity name from a set of entity names for each table cell from a set of table cells in the table. The method includes determining, using a machine learning algorithm a class from a set of classes for each row from the set of rows. The method includes extracting a set of table cell values associated with the set of table cells, and generating a second electronic document including the set of table cell values arranged in the set of rows and the set of columns such that the set of words in the table are computer-readable in the second electronic document.

Abstract: In some embodiments, a method includes generating, based on distributed ledger data associated with a first distributed ledger-based network (DLN), distributed ledger data associated with a second DLN. The first DLN and the second DLN each is a fork and the distributed ledger data associated with the first DLN include account data associated with a set of accounts. The method includes generating a request to initiate a transaction between a first account and a second account. The method includes authenticating the transaction based on a protocol associated with the second DLN and without using a private cryptographic key of the first account. The method includes sending a signal indicating the transaction was authenticated and storing information associated with the transaction in the distributed ledger data associated with the second DLN.

Abstract: In some embodiments, a method includes storing data associated with fungible assets in a distributed ledger database. The method includes dividing fungible tokens into a first set of groups of fungible tokens based on the data and sending, via the distributed ledger-based network and based on an asymmetric cryptography key pair, each group of fungible tokens from the first set of groups of fungible tokens to a communication device from the first set of communication devices to cause the second plurality of communication devices to send, to a designated recipient communication device, non-fungible tokens for each group of fungible tokens from the second set of groups of fungible tokens. The first set of groups of fungible tokens is divided into a second set of groups of fungible tokens and received at a second set of communication devices.

Abstract: A method for generating and controlling intelligent assertion tokens includes generating a first assertion token, during a first step of a supply chain process. The first assertion token is inspected to determine validity. If the first assertion token is not valid, the receipt of the first assertion token is rejected. If the first assertion token is determined to be valid, the use of the first assertion token in further transmissions and/or transactions is authorized. The first assertion token can be passed to a second step of the supply chain process, and a second assertion token may be generated based on the first assertion token. Upon receipt of the second assertion token, it is inspected to determine validity. If not valid, the transmission and/or transfer of the second assertion token is rejected. If valid, the transmission and/or transfer of the second assertion token to a further step of the supply chain process or to a customer is authorized.

Abstract: In some embodiments, a method includes storing data associated with fungible assets in a distributed ledger database. The method includes dividing fungible tokens into a first set of groups of fungible tokens based on the data and sending, via the distributed ledger-based network and based on an asymmetric cryptography key pair, each group of fungible tokens from the first set of groups of fungible tokens to a communication device from the first set of communication devices to cause the second plurality of communication devices to send, to a designated recipient communication device, non-fungible tokens for each group of fungible tokens from the second set of groups of fungible tokens. The first set of groups of fungible tokens is divided into a second set of groups of fungible tokens and received at a second set of communication devices.

Abstract: A method for validating a current position of a first vehicle, the method comprising: receiving position data from the first vehicle, the position data providing the current position of the first vehicle; receiving position validation data associated with the first vehicle, the position validation data being generated by a source distinct from the first vehicle; and validating the current position of the first vehicle provided by the position data against the position validation data to determine an accuracy value for the current position.

Abstract: An apparatus includes a tester to detect a biological signature of a biological sample, a processor, and a memory operably coupled to the processor. The memory stores instructions to cause the processor to receive an indication of the biological signature from the tester, and to generate, using a smart contract and through communication with a distributed ledger, a cryptographic token including a digital identifier based on the biological signature. The cryptographic token is transmitted to a remote processor for verification of the biological sample, in response to receiving the cryptographic token. The tester can detect the biological signature within a predetermined test duration that is less than a DNA sequencing duration associated with the biological sample, and the biological signature has a data precision sufficient to uniquely identify the biological sample from a plurality of biological samples.

Abstract: In some embodiments, a method includes identifying a set of word bounding boxes in a first electronic document, and identifying locations of horizontal white space between two adjacent rows from a set of rows in a table. The method includes determining, using a Natural Language Processing algorithm, an entity name from a set of entity names for each table cell from a set of table cells in the table. The method includes determining, using a machine learning algorithm a class from a set of classes for each row from the set of rows. The method includes extracting a set of table cell values associated with the set of table cells, and generating a second electronic document including the set of table cell values arranged in the set of rows and the set of columns such that the set of words in the table are computer-readable in the second electronic document.