Abstract: Incremental data processing at a computerized device includes determining a number of data sets from a plurality of data sets, each comprising values in at least two dimensions. The device accesses priority lists for a subset of the data sets. The priority lists specify data values for an ordered number of dimension value sets. Each priority list is sequentially processed to determine the specified data values for combinations of dimension values that apply to device requirements. Processing is aborted when a data value is determined for each combination of the dimension values that apply to the device requirements. A data value is selected among the determined data values. A number of data sets is determined based on the selected data values. A network route from a source device to a target device can be determined in this manner.

Abstract: The present invention discloses a space allocation system and a method for allocating space to objects with multi-variate characteristics. In the present invention, intra-container allocation and/or inter-container allocation is performed to generate a combination in which the objects can be placed in one or more pre-defined storage spaces in a plurality of storage containers. The generated combination is further optimized for efficient space allocation to objects with multi-variate characteristics.

Abstract: The document describes systems and methods for handling local (legacy) devices. A local cloud gateway comprises a plurality of interface connectors of different types to physically connect a plurality of these legacy devices to the cloud, comprising a plurality of distant servers. Developments describe the step of extracting the functional messages out of messages stemming from local legacy devices (e.g. protocol translators), secure communications, logical representations of legacy devices in the cloud (“twins”), administration options, various user interfaces (e.g. buzzer) for seamless configuration and use, the use of one or more actuators (retroactions on the physical world), etc. Software and/or hardware embodiments are described.

Abstract: A method of integrating data objects includes: storing (i) an originating record containing a first unique identifier and a first set of data fields defining a first item supplied by a first provider, and (ii) a destination record containing a second unique identifier and a second set of data fields defining a second item supplied by a second provider; receiving an instruction to merge the originating record into the destination record, the request containing the first and second unique identifiers; in response to receiving the instruction, updating the destination record by: comparing the first set of data fields with the second set of data fields; and for each data field of the first set that matches a corresponding data field of the second set, marking the corresponding data field of the second set as a shared field; and sending the updated destination record to a client device for display.

Abstract: Database requests are processed in a distributed database system comprising a central database subsystem and a plurality of local database subsystems comprising a first local database subsystem. The central database subsystem receives a second database request indicating at least one unique identifier of at least one database result of a plurality of database results which have been stored with corresponding unique identifiers by the first local database subsystem in response to a first database request received at the first local database subsystem. The at least one database result identified by the at least one unique identifier is retrieved from the first local database subsystem, processed and stored persistently in a database of the central database subsystem. At least the first local database subsystem and the central database subsystem may operate according to the New Distribution Capability (NDC) standard.

Abstract: Systems and methods for managing an airport passenger processing system. The system includes a computing device and a peripheral device at an airport, a peripherals interface in communicative connection with the peripheral device and operable to execute a second client application, and a network outside the airport. The network includes a virtualization server for virtualizing an application for a first client application executed by the computing device and a peripherals manager in communication with the virtualization server. The first client application is configured to establish a first communication channel with the virtualization server for communication with an application virtualized on the virtualization server. The second client application is configured to establish a second communication channel with the peripherals manager.

Abstract: Authentication method and system using biometric data of a person. The method is flexibly usable on a plurality of distinct verification and authentication devices and comprises a verification process and an authentication process. First biometric data is captured by the verification device and compared to official biometric data. Captured and inputted data is certified and stored. At time of a required authentication of the person, live biometric data of the person is captured and compared to first biometric data. If the data is similar, the person is automatically authenticated.

Abstract: A method of optimizing transmission of requests for updated content from external data sources includes: storing a data object containing initial content received from at least one of the external data sources and associated with an expiry time; storing a set of optimization parameters; obtaining an instruction to request updated content corresponding to the data object; in response to obtaining the instruction, determining, based on the optimization parameters and the expiry time, whether to request updated content from the external data sources; when the determination is affirmative, transmitting at least one update request to at least one of the external data sources based on the initial content and the optimization parameters; and in response to transmitting the at least one update request, receiving and storing respective sets of updated content from the external data sources.

Abstract: Systems and methods for processing tokenization requests to facilitate safe storage of tokens. An epoch is identified as a current epoch based on a current system time of a node. A seed value is computed by the node based on a start time of the epoch and a secret. A plurality of ephemeral tokens is generated by a randomization service of the node for a set of sensitive data based on the seed value. Each ephemeral token of the plurality of ephemeral tokens has a usable life defined by the epoch. Each sensitive data instance in the set of sensitive data is associated with a particular ephemeral token of the plurality of ephemeral tokens to create a mapping structure in a main memory of the node. A tokenization service of the node is configured to process tokenization requests using the mapping structure.

Abstract: Database queries are processed by a first client storing cached data. The first client and a second client host a probabilistic model yielding validity values associating with the cached data indicating a probability that the cached data stored coincides with corresponding original data. The first client randomly selects queries at the time the respective query is received from one of the plurality of clients. For each of the queries randomly selected, a first piece of the cached data stored at the first client and matching the randomly selected query is retrieved, and a first piece of the original data matching the randomly selected query from the at least one original data source is retrieved. The probabilistic model is adapted using a machine learning algorithm based on the retrieved first piece of the cached data and the retrieved first piece of the original data and made available to the second client.

Abstract: Systems and methods for tokenization in a cloud-based environment. The disclosed systems and methods may perform operations including receiving input to be tokenized; obtaining a keyed hash function from a key management system; using the keyed hash function to generate a storage token for the input; creating an encrypted database entry linking the generated token to the received input; setting an expiry for the storage token; and when the storage token is received before the expiry, providing the linked input in response.

Abstract: Systems and methods of integrating message content into a target processing device configured to process input data having a predefined data structure. A messaging server is configured to receive a message from a messaging client device executing a messaging application. An orchestrator device is configured to integrate at least a part of the message content into a target data processing device, receive the part of the message content from the messaging server, and transmit a file derived from the part of the message content to a file processing device. The processing device is configured to transform each received file into a description file comprising a set of predefined keys. The orchestrator device is configured to derive an input file having the predefined data structure from the description file and transmit the input file to the target data processing device for processing of the input file by the target processing device.

Abstract: A first-to-second correlation engine determines correlations between first objects from a first object feed, and second objects from a second object storage, and generates first correlation messages indicative of the correlations for a first-to-second object direction and a second-to-first object direction. A second-to-first correlation engine determines respective correlations between the second objects from a second object feed and the first objects from a first object storage, and generates second correlation messages indicative of the respective correlations for the second-to-first object direction and the first-to-second object direction. A first-to-second correlation storage engine receives the first and second correlation messages for the first-to-second object direction and updates first-to-second correlation storage based on the received messages.

Abstract: A method of controlling generation of search results based on a plurality of search inputs includes, at a server: receiving an interim query containing a subset of interim search inputs; generating, based on the subset of interim search inputs: a subset of predicted search inputs; and a confidence level associated with the subset of predicted search inputs; when the confidence level exceeds a threshold, initiating a search operation to generate predicted search results based on a set of initial inputs including (i) the subset of interim search inputs and (ii) the subset of predicted search inputs; when the confidence level does not exceed the threshold, awaiting an additional query without initiating the search operation; and transmitting a search response based on at least one of the interim query and the additional query.

Abstract: A data aggregation system for aggregation of data from at least two data sources includes: a data aggregation unit configured to determine a data aggregation action to be executed by the system, in response to a message received by at least one data source device, each message comprising data; a consistency checking unit configured to check the consistency of each message received from a data source device using one or more consistency rules and determine an action to be executed by said data aggregation unit depending on the consistency checking; and an accuracy metric determination unit configured to determine an accuracy metric for the executed action based on feedback values received from a set of at least one user device, said data aggregation unit comprising a rule updating unit configured to update said consistency rules based on the accuracy metrics determined for the executed actions.

Abstract: The present invention relates to a method and a system for maintaining consistency of data between data-sets stored in a master database of a master computing node and corresponding data-sets stored in a replication database of at least one replication computing node. Each time an updated version of a stored data set is received, the master computing node is configured for updating a corresponding data-set stored in the master database and transmitting replication data relating to the updated data-set version to the at least one replication computing node for replication. The replication data comprising a bit-vector storing data values extracted from data fields of the data-set classified as volatile data fields. The data values stored in the bit-vector representing the changes in the data-set to be replicated in the at least one replication node.

Abstract: A computer system that is adapted for: (A) displaying a geographical map on a display screen; (B) displaying a plurality of icons on the geographical map, each of which generally represents the current location of at least one individual; (C) allowing a user to select a group of the icons; and (D) after the user selects the group of icons, providing messaging functionality for allowing the user to send a common message to the respective portable computing devices of at least substantially all of the individuals who correspond to the selected group of icons. In particular embodiments, the system allows the user to send the message by executing a single activity, such as selecting a single button. The system may also be configured to approximate the current location of an individual based on the individual's current travel itinerary.

Abstract: A device, system and method for training machine learning models using messages associated with provider objects is provided. One or more computing devices: receives messages associated with provider objects representing items provided by provider systems, the messages having more than one format; stores harmonized objects corresponding to the messages, the harmonized objects generated using mappings of harmonized data of the harmonized objects to message data of the messages, the harmonized objects having common formats for a harmonized object type; extracts, from the harmonized objects, for a given machine learning model, given machine learning training data; generates, for the given machine learning model, using the given machine learning training data, at least one machine learning classifier; and provides the at least one machine learning classifier to the given machine learning model at one or more servers configured to implement the given machine learning model on received provider objects.

Abstract: Methods of evaluating and deploying machine learning models for anomaly detection of a monitored system and related systems. Candidate machine learning algorithms are configured for anomaly detection of the monitored system. For each combination of candidate machine learning algorithm with type of anomalous activity, training and cross-validation sets are drawn from a benchmarking dataset. Using each of the training and cross-validation sets, a machine-learning model is trained and validated using the cross-validation set with average precision as a performance metric. A mean average precision value is then computed across these average precision performance metrics. A ranking value is computed for each candidate machine learning algorithm, and a machine learning algorithm is selected from the candidate machine learning algorithms based upon the computed ranking values.

Abstract: Method and system of automatically extracting information of a predefined type from a document is provided. The method comprises using an object detection algorithm to identify at least one segment of the document that is likely to comprise the information of the predefined type. The method further comprises building at least one bounding box corresponding to the at least one segment and if the bounding box is likely to comprise the information of the predefined type extracting the information comprised by the bounding box from the at least one bounding box.