Wells Fargo Bank, N.A.

Oracle International Corporation

Global Life Sciences Solutions USA LLC

Intel Corporation

Pradeep R Kumar

Ramanathan Ramanathan

Rameshchandra Bhaskar Ketharaju

Rahul N Jain

Sudheendranath R Bhatt

Sai Krishna Madhavi Chitta

Mushnuri Veera Venkata Kiran Kumar

Manoj Kumar Ramakrishna

Manish Uddhaorao Choudhary

Haresh Digambar Patil

Praveen Paul

Anoop Bhargav

Sebastian John

Abhijit Bhattacharjee

Nivedita Phadke

Patrik Eder

Helmut Reinig

Vladimir Todorov

Abhiram Anantharamu

Arumugam Vijayaraman

Amit Badole

Sai Krishna Madavi Chitta

The innovation discloses systems, methods and computer program products that reduce complexity and associated measures that are taken to ensure trust in secured transactions as necessitated by requirements present only in an ecommerce environment that do not have a parallel with traditional bricks and mortar commercial transactions. The innovation enables a multitude of mobile wallet applications to engage and obtain services from ecommerce applications wherein backend processing by a mobile wallet server obtains and delivers funds to ecommerce applications without sharing a subset of sensitive data, associated with a mobile wallet application user for the secured transactions. The innovation further provides for a wallet network to be initiated and engaged in which the secured transactions can take place, adopting and adapting social network application connectivity.

Trust-based application to application connectivity

Systems and methods that can verify transactions based upon location disparity between an account holder and POS (point of sale) as well as identity of a customer are provided. The system can employ camera-equipped drones or other image capture mechanisms to perform identity verification on behalf of a financial entity, cardholder or merchant. Further, the innovation provides systems and methodologies by which allegedly fraudulent or suspect transactions can be blocked or further investigated in real- or near real-time so as to assist in loss mitigation and potentially identification of fraudsters.

Transaction validation and fraud mitigation

The innovation discloses systems, methods and computer program products that reduce complexity and associated measures that are taken to ensure trust in secured transactions as necessitated by requirements present only in an ecommerce environment that do not have a parallel with traditional bricks and mortar commercial transactions. The innovation enables a multitude of mobile wallet applications to engage and obtain services from ecommerce applications wherein backend processing by a mobile wallet server obtains and delivers funds to ecommerce applications without sharing a subset of sensitive data, associated with a mobile wallet application user for the secured transactions.

An apparatus is provided which comprises: a first network interface (NI) to receive data from a source; a second NI coupled to a target; and a circuitry to generate a sequence of source timestamps and a sequence of target timestamps, wherein the first NI is to receive the sequence of source timestamps, and associate a first source timestamp of the sequence of source timestamps with the data, and wherein the second NI is to receive: the data with the first source timestamp from the first NI and the sequence of target timestamps from the circuitry, the second NI to generate a timestamp for the data, based at least in part on the first source timestamp and a first target timestamp of the sequence of target timestamps.

Distributed timestamping in networks

Disclosed is biomanufacturing apparatuscomprising a housingincluding topand bottomfaces which allow stacking of plural housings, an access doorat a front side of the housing, a substantially enclosed bioreactor chamberinside the housing accessible via the door, and a further substantially enclosed regioninside the housing containing electrical parts and/or electronic control components, the chamberincluding: a trayfor supporting a bioreactor, a tray supportincluding a mechanismfor rocking the tray in use; the tray support further including a load cell () to determine changes in the mass load on the tray.

Biomanufacturing apparatus

Disclosed is biomanufacturing apparatuscomprising a housingincluding topand bottomfaces which allow stacking of plural housings, an access doorat a front side of the housing, a substantially enclosed bioreactor chamberinside the housing accessible via the door, and a further substantially enclosed regioninside the housing containing electrical parts and/or electronic control components, the chamberincluding: a trayfor supporting a bioreactor, a tray supportincluding a mechanismfor rocking the tray in use; at least a fluid handling portionof at least one fluid pump device; and at least one connectionfor connecting to a conduit and/or path for carrying fluids, gas and/or electricity.

A method of identifying substantially similar data fields may include accessing a first/second text strings, performing an approximate string-matching algorithm that generates a first score, and comparing the first score to a first threshold. The method also includes performing an exact string-matching algorithm that generates a second score and comparing the second score to a second threshold. The method further includes generating a third score by combining a weighted first score with a weighted second score and comparing the third score to a third threshold. The method also includes determining whether the first text string is substantially similar to the second text string based on the three score comparisons.

Multidimensional spatial searching for identifying substantially similar data fields

A method of identifying duplicate crash dumps in a computer system may include receiving a first crash dump caused by an application crash, extracting a first function signature of a function that caused the first crash dump, and searching a datastore of crash dumps for function signatures that substantially match the first function signature. The searching may include performing an approximate string-match between each of the function signatures the first function signature and performing an exact string match between each of the function signatures and the first function signature. The searching may also include combining weighted results of the approximate string-match with weighted results of the exact string match to generate match scores for each of the function signatures, and identifying the function signatures that substantially match the first function signature based on the match scores.

Multidimensional spatial searching for identifying duplicate crash dumps

Growing community of inventors

Bengaluru, India

Pradeep R Kumar