Abstract: A method including: capturing or receiving data associated with behavior of a user of a virtual reality device during a session in a virtual environment, wherein the data includes sensory inputs associated with the user from one or more sensors and information associated with user parameters; initiating authentication of the user in the virtual environment; comparing the captured or received data with historic data of the user, wherein the historic data is associated with behavior of the user monitored for a plurality of sessions over a period of time in the virtual environment; determining a score based on the comparison; comparing the score with a predefined threshold score; and in response to determining that the score is above the predefined threshold score, authenticating the user.

Abstract: Methods and computer systems for processing bulk transfer files are described. In an aspect, a transfer processing system is configured for: receiving a bulk transfer file from a remote device, the bulk transfer file defining a plurality of requested transfers associated with a database; classifying one or more of the requested transfers defined in the bulk transfer file as being likely to fail processing by passing the requested transfers defined in the bulk transfer file to a classifier trained to identify transfers likely to fail processing based on training data, the training data including a plurality of prior requested transfers and associated completion indicators indicating the prior requested transfers that failed processing; and providing, in real time or near real time, a notification to the remote device of the requested transfers identified as likely to fail processing.

Abstract: Aspects of the present disclosure provide systems, methods, and computer-readable storage media that support automated account maintenance and fraud mitigation for secure accounts such as vendor master accounts or client master accounts. To illustrate, a system receives a request from a user to update an account. The system extracts request data from the request, for example using natural language processing and optical character recognition. The system performs validation operation(s) (e.g., entry validation, location validation, domain validation, etc.), in some implementations using one or more machine learning models. Upon successful validation, if the user is an authorized contact for the account, the system authenticates the request (e.g., via request of an authorization code) and updates the account.

Abstract: An electronic device includes a communication interface and at least one processor configured for: transmitting to or receiving from a second electronic device over proximity-based communication channel an introduction message including a first encryption key; receiving, from a server via the at least one communication interface, a challenge notification providing notification of a challenge to be completed to initiate a data process, the challenge notification including or providing access to at least one data field associated with a verification challenge; identifying, from the at least one data field, an encrypted challenge response value; decrypting the encrypted challenge response value with a key corresponding to the first encryption key; and transmitting the decrypted challenge response value to the server to complete the challenge to initiate the data process.

Abstract: Methods and computer systems for processing bulk transfer files are described. In an aspect, a transfer processing system is configured for: receiving a bulk transfer file from a remote device, the bulk transfer file defining a plurality of requested transfers associated with a database; classifying one or more of the requested transfers defined in the bulk transfer file as being likely to fail processing by passing the requested transfers defined in the bulk transfer file to a classifier trained to identify transfers likely to fail processing based on training data, the training data including a plurality of prior requested transfers and associated completion indicators indicating the prior requested transfers that failed processing; and providing, in real time or near real time, a notification to the remote device of the requested transfers identified as likely to fail processing.

Abstract: An air filtering and treatment apparatus (10), the apparatus (10) including: a housing (12) having an air inlet (14), an air outlet (16), an air passageway (24) between the inlet (14) and outlet (16), and a fan (18) arranged to urge air through the air passageway (24) between the air inlet (14) and the air outlet (16), wherein the housing (12) includes filter (20) arranged to filter air passing through the air passageway (24), and a receptacle (26) located toward the air outlet (16) relative to filter (20). The receptacle (26) is adapted to hold treatment composition (22) such that an evaporable vapour associated with the treatment composition (22) is able to accumulate in a headspace (41) of the receptacle (26), the headspace (41) including at least one aperture (36).

Abstract: An electronic device includes a communication interface and at least one processor configured for: transmitting to or receiving from a second electronic device over proximity-based communication channel an introduction message including a first encryption key; receiving, from a server via the at least one communication interface, a challenge notification providing notification of a challenge to be completed to initiate a data process, the challenge notification including or providing access to at least one data field associated with a verification challenge; identifying, from the at least one data field, an encrypted challenge response value; decrypting the encrypted challenge response value with a key corresponding to the first encryption key; and transmitting the decrypted challenge response value to the server to complete the challenge to initiate the data process.

Abstract: An air filtering and treatment apparatus (10), the apparatus (10) including: a housing (12) having an air inlet (14), an air outlet (16), an air passageway (24) between the inlet (14) and outlet (16), and a fan (18) arranged to urge air through the air passageway (24) between the air inlet (14) and the air outlet (16), wherein the housing (12) includes filter (20) arranged to filter air passing through the air passageway (24), and a receptacle (26) located toward the air outlet (16) relative to filter (20). The receptacle (26) is adapted to hold treatment composition (22) such that an evaporable vapour associated with the treatment composition (22) is able to accumulate in a headspace (41) of the receptacle (26), the headspace (41) including at least one aperture (36).

Abstract: A system includes a frequency-locked loop (FLL) circuit, a sensor-hub circuit and a processor. The FLL circuit is used to generate a low-frequency clock. The sensor-hub circuit is coupled to a number of sensors and is configured to periodically poll the sensors during polling periods and to detect sensor activities. The processor is coupled to the sensor-hub circuit and can process sensor signals from one or more active sensors. The processor is off during polling periods and is turned on when a sensor activity is detected. The polling periods are based on the low-frequency clock generated by the FLL circuit.

Abstract: An air filtering and treatment apparatus (10), the apparatus (10) including: a housing (12) having an air inlet (14), an air outlet (16), an air passageway (24) between the inlet (14) and outlet (16), and a fan (18) arranged to urge air through the air passageway (24) between the air inlet (14) and the air outlet (16), wherein the housing (12) includes filter (20) arranged to filter air passing through the air passageway (24), and a receptacle (26) located toward the air outlet (16) relative to filter (20). The receptacle (26) is adapted to hold treatment composition (22) such that an evaporable vapour associated with the treatment composition (22) is able to accumulate in a headspace (41) of the receptacle (26), the headspace (41) including at least one aperture (36).

Abstract: A system and method for data cleansing are disclosed. The method includes receiving by a data classifier, a data corpus comprising one or more words. The method further includes grouping the one or more words into a plurality of pre-defined categories and determining an overlap ratio between each pair of the plurality of pre-defined categories based on a comparison between each of the plurality of pre-defined categories. A normalized overlap ratio is computed for each of the plurality of pre-defined categories based on a combination of each overlap ratio. At least one of the plurality of pre-defined categories is determined based on a comparison between each of the normalized overlap ratio and an ideal overlap ratio. Finally, one or more common words from the selected at least one of the plurality of pre-defined categories is removed based on a frequency of occurrence of the one or more common words.

Abstract: A system includes a frequency-locked loop (FLL) circuit, a sensor-hub circuit and a processor. The FLL circuit is used to generate a low-frequency clock. The sensor-hub circuit is coupled to a number of sensors and is configured to periodically poll the sensors during polling periods and to detect sensor activities. The processor is coupled to the sensor-hub circuit and can process sensor signals from one or more active sensors. The processor is off during polling periods and is turned on when a sensor activity is detected. The polling periods are based on the low-frequency clock generated by the FLL circuit.

Abstract: This technology relates generally to data classification, and more particularly to system and method for classifying an input statement with respect to a small dataset. In one embodiment, a method is provided for classifying an input statement with respect to a small dataset. The method comprises receiving the input statement, extracting a plurality of input keywords from the input statement, computing a membership score for each of a plurality of category ontology trees based on the plurality of input keywords, and determining a classification of the input statement based on the membership score. The plurality of category ontology trees are derived from the small dataset and correspond to a plurality of classifications in the small dataset.

Abstract: A system and method for data cleansing are disclosed. The method includes receiving by a data classifier, a data corpus comprising one or more words. The method further includes grouping the one or more words into a plurality of pre-defined categories and determining an overlap ratio between each pair of the plurality of pre-defined categories based on a comparison between each of the plurality of pre-defined categories. A normalized overlap ratio is computed for each of the plurality of pre-defined categories based on a combination of each overlap ratio. At least one of the plurality of pre-defined categories is determined based on a comparison between each of the normalized overlap ratio and an ideal overlap ratio. Finally, one or more common words from the selected at least one of the plurality of pre-defined categories is removed based on a frequency of occurrence of the one or more common words.

Abstract: An electronic device includes a communication interface and at least one processor configured for: transmitting to or receiving from a second electronic device over proximity-based communication channel an introduction message including a first encryption key; receiving, from a server via the at least one communication interface, a challenge notification providing notification of a challenge to be completed to initiate a data process, the challenge notification including or providing access to at least one data field associated with a verification challenge; identifying, from the at least one data field, an encrypted challenge response value; decrypting the encrypted challenge response value with a key corresponding to the first encryption key; and transmitting the decrypted challenge response value to the server to complete the challenge to initiate the data process.

Abstract: A data classifier computing device, method, and non-transitory computer readable medium for data classification are disclosed. The method includes receiving by a data classifier, a data corpus comprising one or more words. The method further includes comparing the data corpus with at least one pre-classified category of words to determine an overlap ratio between the data corpus and each of the at least one pre-classified category of words. The method further includes computing a confidence score of the data corpus for each of the at least one pre-classified category of words based on the overlap ratio and a predefined confidence score associated with the data corpus for each of the at least one pre-classified category of words. Finally, the method includes classifying the data corpus based on the confidence score into the at least one pre-classified category.

Abstract: The present invention relates to a laminate for making a molded article comprising: (i) at least one reinforcement Iayer impregnated with a resin matrix; (ii) at least one deployable layer; and (iii) optionally, at least one material comprising at least one non-adhesive side, wherein the deployable layer are compactable, expandable or collapsible including Miura-Ori folds, honeycombs, foams or air mesh. The laminate may be used to form a molded article. The molded articles have uses in biomedical, health care and sport protective devices.

Abstract: This technology relates generally to data classification, and more particularly to system and method for classifying an input statement with respect to a small dataset. In one embodiment, a method is provided for classifying an input statement with respect to a small dataset. The method comprises receiving the input statement, extracting a plurality of input keywords from the input statement, computing a membership score for each of a plurality of category ontology trees based on the plurality of input keywords, and determining a classification of the input statement based on the membership score. The plurality of category ontology trees are derived from the small dataset and correspond to a plurality of classifications in the small dataset.

Abstract: The disclosure relates to a process for the preparation of a titanium foam through a powder metallurgy route using Acrawax particles as a space holder material. An open cellular titanium foam is provided, having desirable porosity and good mechanical properties. The titanium foam is useful as a bone implant material.