Abstract: A system and method for performing structural health monitoring on a structural element while it remains in service and experiences normal loading. The energy input to the element will be the normal and random energy inputs the element sees in service. The inventive system places an intelligent module at one or more points along the length of the structural element. The inventive system collects mass data from multiple modules on multiple elements. The system then applies machine learning or artificial intelligence techniques to detect changes in the measurements received from one or more modules. This approach reduces or eliminates the need to provide calibrated input energy. The invention preferably provides the ability to determine the condition of one element or sub-element under measurement relative to other elements.

Abstract: A system to allocate resources via information technology infrastructure is described. A server includes processors to provide to a plurality of devices, an electronic benefits account transaction application programming interface (“API”) configured to receive transaction requests from a plurality of heterogeneous electronic funding sources. The server can receive a request to initiate a single transaction to fund an electronics benefit account. The server can transmit data in an alert format indicating a denial of the single request responsive to a comparison of a value to one or more threshold limits.

Abstract: The present invention provides a system comprising PoE apparatus including midspans, switches and routers that can provide high powered PoE connections that enable the recovery of DC power in sufficient quantities that allow it to be converted to AC power by way of an inverter. The invention also provides a method for providing AC power, data and light to office workstations using a single PoE connection. The invention further comprises a common mode signalling system that operates independently of any TCP/IP signal transmitted through an Ethernet connection wherein said signalling system is adapted to communicate with and control PoE powered devices.

Abstract: The present solution is generally directed to dynamic state-driven centralized processing that manages remote procedure calls. In particular, the present solution can reduce the number of remote procedure calls by selecting and applying multiple processing scripts for a single electronic transaction based on a real-time condition, and provide dynamic-state-driven processing.

Abstract: A system to allocate resources via information technology infrastructure is described. A server includes processors to provide to a plurality of devices, an electronic benefits account transaction application programming interface (“API”) configured to receive transaction requests from a plurality of heterogeneous electronic funding sources. The server can receive a request to initiate a single transaction to fund an electronics benefit account. The server can transmit data in an alert format indicating a denial of the single request responsive to a comparison of a value to one or more threshold limits.

Abstract: The present solution is generally directed to managing remote procedure calls in centralized processing. In particular, the present solution can reduce the number of remote procedure calls by selecting and applying multiple processing scripts for a single electronic transaction based on a real-time condition.

Abstract: The present disclosure is directed to conducting electronic transactions via a computer network. A server receives data packets carrying data identifying a merchant category, an electronic account maintained and configured on the server, and a first monetary amount of a first electronic transaction. A first device generates the data packets at the merchant to conduct the electronic transaction. A policy engine selects a first purse of a plurality of purses allocated to the electronic account based on a policy applied to the data. The first purse may be configured as a benefits purse. The server obtains the first monetary amount of the electronic transaction from the first purse. The policy engine applies a second policy to the data to determine a reimbursement amount based on the first monetary amount of the transaction, and electronically provides the reimbursement amount to a different second purse of the electronic account.

Abstract: Provided is a system to allocate resources using an information technology infrastructure. The system receives financial and health data of a participant. The system identifies a healthcare expense prediction model to predict the future healthcare expenses of the participant. The system determines from the prediction model using the multi-dimensional feature vector of the participant, the predicted lifetime healthcare expenses of the participant. The system identifies lifetime non-healthcare expenses of the participant. The system identifies a healthcare tax benefit account to provide funds towards the predicted lifetime healthcare expenses and a non-healthcare tax benefit account to provide funds towards lifetime non-healthcare expenses. The system determines a first amount of funds to allocate to the healthcare tax benefit account and a second amount of funds to allocate to the non-healthcare tax benefit account. The system provides the first and second amount of funds to an interactive user interface.

Abstract: The present disclosure is directed to conducting electronic transactions via a computer network. A server receives data packets carrying data identifying a merchant category, an electronic account maintained and configured on the server, and a first monetary amount of a first electronic transaction. A first device generates the data packets at the merchant to conduct the electronic transaction. A policy engine selects a first purse of a plurality of purses allocated to the electronic account based on a policy applied to the data. The first purse may be configured as a benefits purse. The server obtains the first monetary amount of the electronic transaction from the first purse. The policy engine applies a second policy to the data to determine a reimbursement amount based on the first monetary amount of the transaction, and electronically provides the reimbursement amount to a different second purse of the electronic account.

Abstract: A system to allocate resources via information technology infrastructure is described. A server includes processors to provide to a plurality of devices, an electronic benefits account transaction application programming interface (“API”) configured to receive transaction requests from a plurality of heterogeneous electronic funding sources. The server can receive a request to initiate a single transaction to fund an electronics benefit account. The server can transmit data in an alert format indicating a denial of the single request responsive to a comparison of a value to one or more threshold limits.

Abstract: Detecting and controlling fraud in centralized processing is provided. A system receives data packets carrying electronic transactions, and clusters the electronic transactions based on an intermediary identifier of each of the electronic transactions to identify a first cluster and a second cluster. The system generates a first model for the first cluster and a second model for the second cluster. The system detects a fraudulent electronic transaction having a first source identifier. The system locks a first data structure to prevent transfer of a first resource in electronic transactions associated with the first source identifier. The system identifies source identifiers associated with the first cluster in a first tier. The system locks absent detection of the fraudulent electronic transaction in one or more electronic transaction associated with the source identifiers, the data structure corresponding to each of the source identifiers in the first cluster.

Abstract: A sensor assembly has a housing for mounting on a shaft of an idler roller in a belt conveyor system. The housing has one or more sensors for detecting one or more parameters of the idler roller and a processor in communication with the sensors and a wireless communication device. The sensors transmit the detected parameter data to the processor, which causes the detected parameter data to be transmitted by the wireless communication device. A monitoring system is also provided.

Abstract: A system to allocate resources via information technology infrastructure is described. A server includes processors to provide to a plurality of devices, an electronic benefits account transaction application programming interface (“API”) configured to receive transaction requests from a plurality of heterogeneous electronic funding sources. The server can receive a request to initiate a single transaction to fund an electronics benefit account. The server can transmit data in an alert format indicating a denial of the single request responsive to a comparison of a value to one or more threshold limits.

Abstract: Detecting and controlling fraud in centralized processing is provided. A system receives data packets carrying electronic transactions, and clusters the electronic transactions based on an intermediary identifier of each of the electronic transactions to identify a first cluster and a second cluster. The system generates a first model for the first cluster and a second model for the second cluster. The system detects a fraudulent electronic transaction having a first source identifier. The system locks a first data structure to prevent transfer of a first resource in electronic transactions associated with the first source identifier. The system identifies source identifiers associated with the first cluster in a first tier. The system locks absent detection of the fraudulent electronic transaction in one or more electronic transaction associated with the source identifiers, the data structure corresponding to each of the source identifiers in the first cluster.

Abstract: Provided is a system to allocate resources using an information technology infrastructure. The system receives financial and health data of a participant. The system identifies a healthcare expense prediction model to predict the future healthcare expenses of the participant. The system determines from the prediction model using the multi-dimensional feature vector of the participant, the predicted lifetime healthcare expenses of the participant. The system identifies lifetime non-healthcare expenses of the participant. The system identifies a healthcare tax benefit account to provide funds towards the predicted lifetime healthcare expenses and a non-healthcare tax benefit account to provide funds towards lifetime non-healthcare expenses. The system determines a first amount of funds to allocate to the healthcare tax benefit account and a second amount of funds to allocate to the non-healthcare tax benefit account. The system provides the first and second amount of funds to an interactive user interface.

Abstract: The present disclosure is directed to conducting electronic transactions via a computer network. A server receives data packets carrying data identifying a merchant category, an electronic account maintained and configured on the server, and a first monetary amount of a first electronic transaction. A first device generates the data packets at the merchant to conduct the electronic transaction. A policy engine selects a first purse of a plurality of purses allocated to the electronic account based on a policy applied to the data. The first purse may be configured as a benefits purse. The server obtains the first monetary amount of the electronic transaction from the first purse. The policy engine applies a second policy to the data to determine a reimbursement amount based on the first monetary amount of the transaction, and electronically provides the reimbursement amount to a different second purse of the electronic account.

Abstract: A load control device for controlling the power delivered from an AC power source to an electrical load is able to receive radio-frequency (RF) signals from a Wi-Fi-enabled device, such as a smart phone, via a wireless local area network. The load control device comprises a controllably conductive device, a controller for rendering the controllably conductive device conductive and non-conductive, and a Wi-Fi module operable to receive the RF signals directly from the wireless network. The controller may cooperate with one or more other devices to synchronize in time the adjustments made by one or more load control devices that are operable to control the power delivered to one or more electrical loads. The one or more load control devices may also cooperate with one or more Internet based information providers to provide preconfigured and condition based adjustments of the one or more electrical loads.

Abstract: The present disclosure is directed to conducting electronic transactions via a computer network. A server receives data packets carrying data identifying a merchant category, an electronic account maintained and configured on the server, and a first monetary amount of a first electronic transaction. A first device generates the data packets at the merchant to conduct the electronic transaction. A policy engine selects a first purse of a plurality of purses allocated to the electronic account based on a policy applied to the data. The first purse may be configured as a benefits purse. The server obtains the first monetary amount of the electronic transaction from the first purse. The policy engine applies a second policy to the data to determine a reimbursement amount based on the first monetary amount of the transaction, and electronically provides the reimbursement amount to a different second purse of the electronic account.

Abstract: Provided is a system to allocate resources using an information technology infrastructure. The system receives financial and health data of a participant. The system identifies a healthcare expense prediction model to predict the future healthcare expenses of the participant. The system determines from the prediction model using the multi-dimensional feature vector of the participant, the predicted lifetime healthcare expenses of the participant. The system identifies lifetime non-healthcare expenses of the participant. The system identifies a healthcare tax benefit account to provide funds towards the predicted lifetime healthcare expenses and a non-healthcare tax benefit account to provide funds towards lifetime non-healthcare expenses. The system determines a first amount of funds to allocate to the healthcare tax benefit account and a second amount of funds to allocate to the non-healthcare tax benefit account. The system provides the first and second amount of funds to an interactive user interface.

Abstract: The present solution is generally directed to managing remote procedure calls in centralized processing. In particular, the present solution can reduce the number of remote procedure calls by selecting and applying multiple processing scripts for a single electronic transaction based on a real-time condition.