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: 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: 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: 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: Performance based delivery of content to an audience member. A network of audience member information collection domains provide information about audience members. A profiled audience member may belong to a network segment. Delivery of an advertisement to the profiled audience member is accommodated based upon membership in the network segment and performance criteria. The performance criteria may be configured to benefit a publisher, such as by maximizing revenue. Allocating revenue based upon the collection of data used to target audience members is also provided.

Abstract: Systems and methods validate the operation of a component of an executable model without inadvertently altering the behavior of the component. The model may be partitioned into a design space and a verification space. The component may be placed in the design space, while an observer for validating the component may be placed in the verification space, and linked to the component. During execution of the model, input or output values for the component may be computed and buffered. Execution of the observer may follow execution of the component. The input or output values may be read out of the buffer, and utilized during execution of validation functionality defined for the observer. Model compilation operations that may inadvertently alter the behavior of the component, such as back propagation of attributes, are blocked between the observer and the component.

Abstract: Systems and methods validate the operation of a component of an executable model without inadvertently altering the behavior of the component. The model may be partitioned into a design space and a verification space. The component may be placed in the design space, while an observer for validating the component may be placed in the verification space, and linked to the component. During execution of the model, input or output values for the component may be computed and buffered. Execution of the observer may follow execution of the component. The input or output values may be read out of the buffer, and utilized during execution of validation functionality defined for the observer. Model compilation operations that may inadvertently alter the behavior of the component, such as back propagation of attributes, are blocked between the observer and the component.

Abstract: Systems and methods validate the operation of a component of an executable model without inadvertently altering the behavior of the component. The model may be partitioned into a design space and a verification space. The component may be placed in the design space, while an observer for validating the component may be placed in the verification space, and linked to the component. During execution of the model, input or output values for the component may be computed and buffered. Execution of the observer may follow execution of the component. The input or output values may be read out of the buffer, and utilized during execution of validation functionality defined for the observer. Model compilation operations that may inadvertently alter the behavior of the component, such as back propagation of attributes, are blocked between the observer and the component.

Abstract: Systems and methods validate the operation of a component of an executable model without inadvertently altering the behavior of the component. The model may be partitioned into a design space and a verification space. The component may be placed in the design space, while an observer for validating the component may be placed in the verification space, and linked to the component. During execution of the model, input or output values for the component may be computed and buffered. Execution of the observer may follow execution of the component. The input or output values may be read out of the buffer, and utilized during execution of validation functionality defined for the observer. Model compilation operations that may inadvertently alter the behavior of the component, such as back propagation of attributes, are blocked between the observer and the component.

Abstract: Performance based delivery of content to an audience member. A network of audience member information collection domains provide information about audience members. A profiled audience member may belong to a network segment. Delivery of an advertisement to the profiled audience member is accommodated based upon membership in the network segment and performance criteria. The performance criteria may be configured to benefit a publisher, such as by maximizing revenue. Allocating revenue based upon the collection of data used to target audience members is also provided.

Abstract: Systems and methods automatically construct a harness model having a selected component from source model. The systems and methods determine an execution context of the component in the source model, and construct and configure the harness model to provide the same or an equivalent execution context in the harness model. Model elements may be added to the harness model, and the model elements may be configured to replicate the execution context. The harness model may be executed, and the operation of the component evaluated. Changes to the component are synchronized between the source model and the harness model, as are changes to the component's execution context. Assessment operations may be included in the harness model, and these assessment operations may be evaluated when the harness model is executed. A verification report that includes the results of the assessments may be generated.

Abstract: Performance based delivery of content to an audience member. A network of audience member information collection domains provide information about audience members. A profiled audience member may belong to a network segment. Delivery of an advertisement to the profiled audience member is accommodated based upon membership in the network segment and performance criteria. The performance criteria may be configured to benefit a publisher, such as by maximizing revenue. Allocating revenue based upon the collection of data used to target audience members is also provided.

Abstract: Performance based delivery of content to an audience member. A network of audience member information collection domains provide information about audience members. A profiled audience member may belong to a network segment. Delivery of an advertisement to the profiled audience member is accommodated based upon membership in the network segment and performance criteria. The performance criteria may be configured to benefit a publisher, such as by maximizing revenue. Allocating revenue based upon the collection of data used to target audience members is also provided.

Abstract: A device may receive a chart generated via a technical computing environment, where the chart includes a textual portion and a graphical portion, and the graphical portion includes state information. The device may parse the chart into the textual portion and the graphical portion, and may process the textual portion with a textual engine of the technical computing environment to generate textual results. The device may process the graphical portion with a graphical engine of the technical computing environment to generate graphical results, and may combine the textual results with the graphical results to generate chart results. The device may output or store the chart results.

Abstract: Future media viewership is forecast based on time ordered analysis of historical viewership information from an individual or combination of a plurality of data sets. Forecast models having coefficients derived from comparisons of time series representations of data sets across a plurality of time periods and data sources join together disparate data sets. Individual data sets from disparate data sources may be compared to identify possible untrustworthy data or data that requires further investigation. Organizing viewership information in a time series allows for imputing missing data in a respective data set.

Abstract: Currency data regarding the monitored media network including a first viewership count indicating a first number of viewers viewing the monitored media network during a first series of time intervals and demographic information regarding the first number of viewers may be received. Set-top-box viewership data regarding the monitored media network may also be received from a set top box. The set-top-box viewership data may include a second viewership count indicating a second number of viewers viewing the monitored media network during a second series of time intervals. The first and second viewership counts may be transformed into first and second series of data, respectively. The first and second series of data may be compared to with one another determine factors and/or coefficients, which may be applied to the second viewership count to infer and/or forecast demographic information for the second viewership count. The method is generalized to unmonitored networks.

Abstract: Performance based delivery of content to an audience member. A network of audience member information collection domains provide information about audience members. A profiled audience member may belong to a network segment. Delivery of an advertisement to the profiled audience member is accommodated based upon membership in the network segment and performance criteria. The performance criteria may be configured to benefit a publisher, such as by maximizing revenue. Allocating revenue based upon the collection of data used to target audience members is also provided.

Abstract: A device may receive a chart generated via a technical computing environment, where the chart includes a textual portion and a graphical portion, and the graphical portion includes state information. The device may parse the chart into the textual portion and the graphical portion, and may process the textual portion with a textual engine of the technical computing environment to generate textual results. The device may process the graphical portion with a graphical engine of the technical computing environment to generate graphical results, and may combine the textual results with the graphical results to generate chart results. The device may output or store the chart results.

Abstract: In an embodiment, a computer readable medium that stores computer executable instructions is provided. The computer readable medium includes instructions for displaying a graphical model representing a modeled system, the graphical model having a first element and a second element. The computer readable medium includes instructions for identifying, in response to a request to connect at least one of the first element and the second element with a signal, a routing path within the graphical model. The routing path can be mapped through at least one subsystem of the modeled system and configured to logically connect the first element with the second element. The computer readable medium includes instructions for logically connecting, in the graphical model, the first element and the second element via the routing path.

Abstract: Future media viewership is forecast based on time ordered analysis of historical viewership information from an individual or combination of a plurality of data sets. Forecast models having coefficients derived from comparisons of time series representations of data sets across a plurality of time periods and data sources join together disparate data sets. Individual data sets from disparate data sources may be compared to identify possible untrustworthy data or data that requires further investigation. Organizing viewership information in a time series allows for imputing missing data in a respective data set.