Abstract: Systems and methods of monitoring technology infrastructure using alerts indicative service events and tickets indicative of incidents reported to the support system, including transmitting, to a client via a network, structured support data including issue data and correlation data. The issue data represents issues, which are fewer than the number of tickets, generated by processing textual data of the tickets through a clustering engine implementing a generative probabilistic model and generating the correlation data by associating alerts and tickets by correlating alert-specific identifiers and ticket-specific identifiers. The identifiers are of least one of identifier times, locations, names, or descriptions. A prioritization engine is also disclosed.

Abstract: A method, computer program product and computer system to generate safety alerts is provided. A processor retrieves a plurality of measurements associated with a location. A processor determines a set of features based on the plurality of measurements. A processor identifies a set of membership functions for the set of features. A processor determines a safety index for the body of water based on the set of membership functions and one or more input value ranges for the set of features. In response to the safety index being above a threshold value, a processor sends an alert to one or more users regarding the location.

Abstract: Techniques are provided for identifying and monitoring connections in an optical system. A plurality of optical ports is configured to receive a plurality of optical links that couple with one or more remote optical devices. At least one light source generates identification (ID) signals. At least one optical element configured to direct the ID signals into transmission paths from the source optical device to the remote optical device/s over the plurality of optical links. The remote optical device/s include one or more optical elements that direct the ID signals through a set of WDM filters and returns the ID signals. At least one optical element directs returned ID signals to an optical channel monitor. At least one microprocessor configured to execute control instructions to generate the ID signals and process one or more outputs of the optical channel monitor in response to the returned ID signals to identify the plurality of optical links.

Abstract: Techniques are provided for identifying and monitoring connections in an optical system. A plurality of optical ports is configured to receive a plurality of optical links that couple with one or more remote optical devices. At least one light source generates identification (ID) signals. At least one optical element configured to direct the ID signals into transmission paths from the source optical device to the remote optical device/s over the plurality of optical links. The remote optical device/s include one or more optical elements that direct the ID signals through a set of WDM filters and returns the ID signals. At least one optical element directs returned ID signals to an optical channel monitor. At least one microprocessor configured to execute control instructions to generate the ID signals and process one or more outputs of the optical channel monitor in response to the returned ID signals to identify the plurality of optical links.

Abstract: An example operation may include one or more of receiving an example in a blockchain network, distributing the example to a plurality of endorsing peers of the blockchain network, performing, by one or more of the endorsing peers, automated analysis of the example to determine an inference for the example, determining if there is a consensus of inference amongst the plurality of endorsing peers, and committing the example to a blockchain of the blockchain network when there is a consensus of inference.

Abstract: A method and system for outputting a state of a physical system using a calibrated model of the physical system, where the calibrated model is used to generate a model prediction. The system includes a plurality of sensors connected to a routing node are used to monitor measured data of the physical system. A first sensor of the plurality of sensors includes a logic module configured to determine an uncertainty quantification, and to combine the uncertainty quantification with the model prediction to output the state of the physical system.

Abstract: Methods, systems and computer program products for determining an accurate flow rate based on limited observations are provided. Aspects include receiving a limited sample of flow rate data associated with a test site of a test river. Aspects also include determining topographical characteristics of the test site. Aspects also include determining a plurality of similar tested sites and generating a test site rating curve based on a combination of the limited sample of flow rate data and sufficient flow rate data associated with one or more of the plurality of similar tested sites. Aspects also include obtaining a stage reading associated with the test site from a sensor disposed at the test site. Aspects also include determining a flow rate of the test site based on the stage reading and the test site rating curve.

Abstract: Techniques are provided for identifying and monitoring connections in an optical system. A plurality of optical ports is configured to receive a plurality of optical links that couple with one or more remote optical devices. At least one light source generates identification (ID) signals. At least one optical element configured to direct the ID signals into transmission paths from the source optical device to the remote optical device/s over the plurality of optical links. The remote optical device/s include one or more optical elements that direct the ID signals through a set of WDM filters and returns the ID signals. At least one optical element directs returned ID signals to an optical channel monitor. At least one microprocessor configured to execute control instructions to generate the ID signals and process one or more outputs of the optical channel monitor in response to the returned ID signals to identify the plurality of optical links.

Abstract: Aspects of the present disclosure provide a computer-implemented method that includes providing a layered index to variable length data, the layered index comprising a plurality of layers. Each layer of the plurality of layers has an index array, a block offset array, and a per-block size array. The index array identifies a next level index of a plurality of indices or data. The indices represent a delta value from a first index of a block. The block offset array identifies a starting location of the index array. The per-block array identifies a shared integer size of a block of indices. The method further includes performing a random access read of the variable length data using the layered index.

Abstract: Methods, computer program products, computer systems, and the like are disclosed that provide for task management using syntactic markers in messaging communications in an efficient and effective manner. For example, such methods, computer program products, and computer systems can include creating a syntactic marker in a messaging system and associating the syntactic marker and a messaging communication with one another. The messaging system comprises a program management database. The messaging communication is sent via the messaging system. The messaging communication is related to a task of a program. The associating comprises updating program management information for the program. The program management information is maintained in the program management database.

Abstract: Authenticity of Artificial Intelligence (AI) results may be verified by creating, for an AI system, from a plurality of original inputs to form a plurality of original inference results, a plurality of original signatures of representative elements of an internal state of the AI system constructed from each individual original inference result of the plurality of original inference results. During deployment of the AI system, a matching of a plurality of deployment time inference results with a plurality of deployment time signatures, to the plurality of original signatures and the plurality of original inference results, may be verified.

Abstract: A computer-implemented method comprises: inputting into an autoencoder sets of input samples, each of the sets of input samples comprising: a reference input sample of a reference dataset and one or more target input samples of one or more target datasets, the autoencoder being trained using the reference dataset. The autoencoder generates a respective set of outputs for each set of the input samples to thereby form one or more respective sets of outputs, each of the one or more sets of outputs comprising the reference output and the one or more target outputs for a respective set of input samples; and determining the similarity of each of the one or more target datasets to the reference dataset by comparing each of the one or more target outputs to respective target input samples of each of the sets of input samples.

Abstract: Embodiments of the present invention provide a method of simulating a memory-based communication protocol for testing a simulated device. The method includes storing data in known locations of a host data buffer, where the host data buffer is implemented in a shared memory space, executing instructions of a first program to store a command in the shared memory space using a data structure including an index, an ID, and a memory location, executing instructions of a second program to read the command from the host data buffer, access the data in the shared memory space to perform an operation defined by the ID using the data, where a location of the data is indicated by the index, and send a completion indicator to the first program after the operation is complete.

Abstract: Systems and methods of monitoring technology infrastructure using alerts indicative service events and tickets indicative of incidents reported to the support system, including transmitting, to a client via a network, structured support data including issue data and correlation data. The issue data represents issues, which are fewer than the number of tickets, generated by processing textual data of the tickets through a clustering engine implementing a generative probabilistic model and generating the correlation data by associating alerts and tickets by correlating alert-specific identifiers and ticket-specific identifiers. The identifiers are of least one of identifier times, locations, names, or descriptions. A prioritization engine is also disclosed.

Abstract: A method, system, and computer-program product for identification of digital content using a meta-content identifier construct are disclosed. The method includes obtaining a meta-content identifier construct (where the meta-content identifier construct comprises information), identifying one or more digital content constructs, determining one or more parameters, and producing one or more results by retrieving digital content using the one or more digital content constructs. The one or more digital content constructs are identified, at least in part, using at least a portion of the information. The retrieving comprises filtering the digital content, and the filtering uses the one or more parameters.

Abstract: A simulation model recovery method, system, and computer program product include initiating a simulation model, during an operation of a model, periodically writing a solution space of the model to a checkpoint restart file, during an operation of the model, periodically writing diagnostic information on model progression to a log file, detecting a failure of the model, based on the log of the model, determining a time of the failure, based on the model outputs and restart files, determining a period of a numerical instability preceding the failure, selecting a checkpoint of the model preceding the period of the numerical instability, based on the numerical instability and diagnostic information in log files, modifying a configuration of the model, and restarting the model based on the selected checkpoint and the modified configuration.

Abstract: A method and system for outputting a state of a physical system using a calibrated model of the physical system, where the calibrated model is used to generate a model prediction. The system includes a plurality of sensors connected to a routing node are used to monitor measured data of the physical system. A first sensor of the plurality of sensors includes a logic module configured to determine an uncertainty quantification, and to combine the uncertainty quantification with the model prediction to output the state of the physical system.

Abstract: A method, system, and computer-program product for identification of digital content using a meta-content identifier construct are disclosed. The method includes obtaining a meta-content identifier construct (where the meta-content identifier construct comprises information), identifying one or more digital content constructs, determining one or more parameters, and producing one or more results by retrieving digital content using the one or more digital content constructs. The one or more digital content constructs are identified, at least in part, using at least a portion of the information. The retrieving comprises filtering the digital content, and the filtering uses the one or more parameters.

Abstract: Aspects of the present disclosure provide a computer-implemented method that includes providing a layered index to variable length data, the layered index comprising a plurality of layers. Each layer of the plurality of layers has an index array, a block offset array, and a per-block size array. The index array identifies a next level index of a plurality of indices or data. The indices represent a delta value from a first index of a block. The block offset array identifies a starting location of the index array. The per-block array identifies a shared integer size of a block of indices. The method further includes performing a random access read of the variable length data using the layered index.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in a content generating, hosting and/or providing system supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for automatic discovery of high quality digital content. According to embodiments, the present disclosure describes improved computer system and methods directed to analyzing raw image data, such as features and descriptors of images in order to identify a high quality image(s). Such images can be identified from a database of images, and such images can be identified in real-time, or near real-time during the capture of an image(s) by a camera.