Abstract: An automated transaction machine (“ATM”) can include a note input/output port, an escrow unit, and an upper transport. The escrow unit can receive and hold currency notes. The upper transport can transport currency notes among the note input/output port and the escrow unit. The escrow unit can include a drum and first and second web-supply spool assemblies. The drum collects and releases currency notes relative to the upper transport, is rotatable about a first axis, and has a variable radius including minimum and maximum radii. Each web-supply spool assembly includes a spool and a web and can rotate about respective second and third axis parallel to and spaced from the first axis. A fourth axis can extend normal to and intersect both of the second and third axis and can be closer to the first axis than the maximum radius of the drum.

Abstract: A method for fraud modeling based on shared computing device usage includes: storing transaction data entries, each including a transaction date and/or time, account identifier, and device identifier associated with a computing device; receiving a transaction message for a payment transaction, the transaction message including a specific device identifier, primary account number, and additional transaction data; identifying transaction data entries where the included device identifier corresponds to the specific device identifier; determining a fraud risk rating based on a number of unique account identifiers included in the identified transaction data entries over a predetermined period of time; and transmitting the transaction message and the determined fraud risk rating to a financial institution associated with the primary account number.

Abstract: An automated transaction machine (ATM) can include a housing, a display, a cash recycler, and a check receiver. The display can be mounted to the housing and directed toward an exterior of the housing. The cash recycler can be configured to receive a first note of currency from a first user of the ATM and dispense the first note of currency to a subsequent, second user of the ATM. The check receiver can be positioned in the housing, an intake portion with an inlet communicating with the exterior of the housing, and a check reader portion configured to receive a check from the intake portion, scan data displayed on the check, and store the check. The intake portion can be positioned below the display and the check reader portion is positioned behind the display.

Abstract: A method for fraud modeling based on shared computing device usage includes: storing transaction data entries, each including a transaction date and/or time, account identifier, and device identifier associated with a computing device; receiving a transaction message for a payment transaction, the transaction message including a specific device identifier, primary account number, and additional transaction data; identifying transaction data entries where the included device identifier corresponds to the specific device identifier; determining a fraud risk rating based on a number of unique account identifiers included in the identified transaction data entries over a predetermined period of time; and transmitting the transaction message and the determined fraud risk rating to a financial institution associated with the primary account number.

Abstract: Systems and methods are provided for use in identifying an entity's location based on device-level location data. One example computer-implemented method includes, for an entity associated with an unconfirmed location, transmitting, to a mobile device, a request to identify a physical location of the entity and receiving, from the mobile device, a response including at least (i) an identifier associated with the entity and/or a user associated with the mobile device and (ii) a location of the mobile device at the physical location of the entity. The method also includes matching the location of the mobile device to a transaction record for a transaction at the entity based on the transaction record including the identifier from the response and, in response to a match, assigning the location to the entity and publishing the assigned location of the entity.

Abstract: An automated transaction machine includes upper and lower units. The lower unit has a chest with a main body. The main body of the lower unit forms a cavity and has interior and exterior walls, made of metal, metal alloys or composite metallic material. There is a non-metallic material layer disposed therebetween. There is opening for passage of documents or other items between the upper and lower units. The upper unit has a housing with a main body. The main body forms a cavity. The main body of the upper unit has an interior and an exterior wall. A transport system may be disposed in the housing to transport documents between the upper and lower units.

Abstract: An automated transaction machine includes upper and lower units. The lower unit has a chest with a main body. The main body of the lower unit forms a cavity and has interior and exterior walls, made of different metals, metal alloys or composite metallic material. There is a non-metallic material layer disposed therebetween. There is opening for passage of documents or other items between the upper and lower units. The upper unit has a housing with a main body. The main body forms a cavity. The main body of the upper unit has an interior and an exterior wall. A transport system may be disposed in the housing to transport documents between the upper and lower units.

Abstract: A method for fraud modeling based on shared computing device usage includes: storing transaction data entries, each including a transaction date and/or time, account identifier, and device identifier associated with a computing device; receiving a transaction message for a payment transaction, the transaction message including a specific device identifier, primary account number, and additional transaction data; identifying transaction data entries where the included device identifier corresponds to the specific device identifier; determining a fraud risk rating based on a number of unique account identifiers included in the identified transaction data entries over a predetermined period of time; and transmitting the transaction message and the determined fraud risk rating to a financial institution associated with the primary account number.

Abstract: A method for double anonymization of data includes: receiving, by a first computing system, a plurality of first data sets, each including a set identifier and personally identifiable information; anonymizing, by the first computing system, each of the first data sets, by hashing the set identifier included in each first data set to obtain a hashed identifier and deidentifying the personally identifiable information; transmitting, by the first computing system, the plurality of anonymized first data sets to a second computing system, wherein the second computing system is distinct and separate from the first computing system; anonymizing, by the second computing system, each of the anonymized first data sets, by hashing the hashed identifier to obtain a double-hashed identifier; and storing, in the second computing system or a third separate and distinct computing system, the plurality of double anonymized first data.

Abstract: A method for linking de-identified data identifiers to traceable data identifiers in compliance with applicable data privacy rules and regulations includes: receiving a plurality of first data identifiers from a first computing system; applying a one-way hashing algorithm and salt to the first data identifiers to generate second data identifiers; storing an association between each of the first data identifiers and the respective second data identifier; receiving one or more specific second data identifiers from a second computing system; identifying, for each of the one or more specific second data identifiers, the associated first data identifier; and transmitting each identified associated first data identifier to the first computing system.

Abstract: An automated transaction machine (ATM) can include a housing, a display, a cash recycler, and a check receiver. The display can be mounted to the housing and directed toward an exterior of the housing. The cash recycler can be configured to receive a first note of currency from a first user of the ATM and dispense the first note of currency to a subsequent, second user of the ATM. The check receiver can be positioned in the housing, an intake portion with an inlet communicating with the exterior of the housing, and a check reader portion configured to receive a check from the intake portion, scan data displayed on the check, and store the check. The intake portion can be positioned below the display and the check reader portion is positioned behind the display.

Abstract: A method for real-time measurement of campaign effectiveness includes: storing device profiles, each including a hashed device identifier, geographic location, and transaction entries including a transaction date and transaction data; receiving a data request including a start date, end date, merchant identifier, a plurality of device identifiers, and, for each device identifier, a category identifier of a set of category identifiers; generating a hashed identifier for each of the device identifiers; identifying, a device profile for each hashed device identifier; calculating purchase behaviors for each category based on transaction data in transaction data entries that include a transaction date between the start date and end date that are included in each identified device profile that is associated with the respective category and includes a geographic location corresponding to the merchant identifier; and transmitting at least one of: the calculated purchase behaviors and one or more metrics based thereon

Abstract: A method for linking de-identified data identifiers to traceable data identifiers in compliance with applicable data privacy rules and regulations includes: receiving a plurality of first data identifiers from a first computing system; applying a one-way hashing algorithm and salt to the first data identifiers to generate second data identifiers; storing an association between each of the first data identifiers and the respective second data identifier; receiving one or more specific second data identifiers from a second computing system; identifying, for each of the one or more specific second data identifiers, the associated first data identifier; and transmitting each identified associated first data identifier to the first computing system.

Abstract: A method for determining an economic impact of a candidate event includes receiving an event type identifier representing an event type of a candidate event to occur, and building a reference data store including historical transaction data records of payment transactions occurring in reference geographic areas associated with a reference event having the event type identifier. The method also includes generating a reference model from the historical transaction data records the models a reference number of active accounts and active merchants within a reference geographic area during a period of time associated with the reference event occurring in the geographic area. The method further includes determining a predicted number of active accounts and active merchants within the target geographic area using the reference model, and determining a predicted consumer spend using a predicted spend model. The method also includes generating an economic impact report including the consumer spend.

Abstract: A method for double anonymization of data includes: receiving, by a first computing system, a plurality of first data sets, each including a set identifier and personally identifiable information; anonymizing, by the first computing system, each of the first data sets, by hashing the set identifier included in each first data set to obtain a hashed identifier and deidentifying the personally identifiable information; transmitting, by the first computing system, the plurality of anonymized first data sets to a second computing system, wherein the second computing system is distinct and separate from the first computing system; anonymizing, by the second computing system, each of the anyonmized first data sets, by hashing the hashed identifier to obtain a double-hashed identifier; and storing, in the second computing system or a third separate and distinct computing system, the plurality of double anonymized first data.

Abstract: A method for double anonymization of data includes: receiving, by a first computing system, a plurality of first data sets, each including a set identifier and personally identifiable information; anonymizing, by the first computing system, each of the first data sets, by hashing the set identifier included in each first data set to obtain a hashed identifier and deidentifying the personally identifiable information; transmitting, by the first computing system, the plurality of anonymized first data sets to a second computing system, wherein the second computing system is distinct and separate from the first computing system; anonymizing, by the second computing system, each of the anonymized first data sets, by hashing the hashed identifier to obtain a double-hashed identifier; and storing, in the second computing system or a third separate and distinct computing system, the plurality of double anonymized first data.

Abstract: Systems, methods, and structures for overcoming Rayleigh backscatter in wavelength division multiplexed fiber optic systems and in particular fiber optic sensor systems along with method(s) for detecting faults in optical networks employing the intentional temporal separation of share wavelength noise and demarcation signals in conjunction with the use of accumulated Rayleigh noise signal(s) to detect a fault location.

Abstract: A method for fraud modeling based on shared computing device usage includes: storing transaction data entries, each including a transaction date and/or time, account identifier, and device identifier associated with a computing device; receiving a transaction message for a payment transaction, the transaction message including a specific device identifier, primary account number, and additional transaction data; identifying transaction data entries where the included device identifier corresponds to the specific device identifier; determining a fraud risk rating based on a number of unique account identifiers included in the identified transaction data entries over a predetermined period of time; and transmitting the transaction message and the determined fraud risk rating to a financial institution associated with the primary account number.

Abstract: A method for fraud modeling based on shared computing device usage includes: storing transaction data entries, each including a transaction date and/or time, account identifier, and device identifier associated with a computing device; receiving a transaction message for a payment transaction, the transaction message including a specific device identifier, primary account number, and additional transaction data; identifying transaction data entries where the included device identifier corresponds to the specific device identifier; determining a fraud risk rating based on a number of unique account identifiers included in the identified transaction data entries over a predetermined period of time; and transmitting the transaction message and the determined fraud risk rating to a financial institution associated with the primary account number.

Abstract: Systems, methods, and structures for overcoming Rayleigh backscatter in wavelength division multiplexed fiber optic systems and in particular fiber optic sensor systems along with method(s) for detecting faults in optical networks employing the intentional temporal separation of share wavelength noise and demarcation signals in conjunction with the use of accumulated Rayleigh noise signal(s) to detect a fault location.