Abstract: Disclosed herein are multimodal indoor positioning systems and methods that include: one or more Bluetooth low energy beacons; one or more smartphones, where the smartphone captures one or more Bluetooth low energy signals from the one or more Bluetooth low energy beacons, where the smartphone generates a fingerprint and a location estimate from the relative signal strength indicator signal; one or more cameras, where the one or more cameras capture 2D video frames; and one or more edge devices, where the one or more edge devices receive the fingerprint and the location estimate from the one or more smartphones, where the one or more edge devices receive the 2D video frames from the one or more cameras, where the edge device generates 2D position coordinates from the 2D video frames; and where the one or more edge devices assigns a tracklet-ID to each smartphone in the 2D video frames.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis with respect to structured data objects. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis with respect to structured data objects by utilizing at least one of cross-table data similarity score generation machine learning models and various machine learning frameworks for cross-database similarity determination.

Abstract: A cyber-resilient consensus based distributed control systems for islanded AC microgrids to enhance the resilience of distributed control in the secondary layer comprising a modified sliding surface benefits from the presence of a cyber-resilient offset compensation term as it ensures retaining the minimum levels of deviations under both normal and cyber-corrupted conditions in the secondary layer. The system includes a hysteresis-based communication link quality observer, which ensures that the cyber intrusion levels are bounded to specific levels. Using this approach along with offset compensation term on the surface as well as the boundary layered based switching function, a chattering free steady state performance is ensured.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis with respect to structured data objects. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis with respect to structured data objects by utilizing at least one of cross-table data similarity score generation machine learning models and various machine learning frameworks for cross-database similarity determination.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis with respect to structured data objects. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis with respect to structured data objects by utilizing at least one of cross-table data similarity score generation machine learning models and unsupervised anomalous table row detection machine learning models.

Abstract: There is a need for more effective and efficient performing classification-based predictive data analysis on named data collections. This need can be addressed by, for example, solutions for performing classification-based predictive data analysis on named data collections that utilize at least one of techniques for generating column classification machine learning models to perform column classification, techniques for generating column classification machine learning models to perform anomaly detection, techniques for utilizing trained column classification machine learning models to perform column classification, and techniques for utilizing trained column classification machine learning models to perform anomaly detection.

Abstract: There is a need for more effective and efficient performing classification-based predictive data analysis on named data collections. This need can be addressed by, for example, solutions for performing classification-based predictive data analysis on named data collections that utilize at least one of techniques for generating column classification machine learning models to perform column classification, techniques for generating column classification machine learning models to perform anomaly detection, techniques for utilizing trained column classification machine learning models to perform column classification, and techniques for utilizing trained column classification machine learning models to perform anomaly detection.

Abstract: There is a need for more effective and efficient anomalous text detection.

Abstract: Curable compositions containing a compound comprising a conjugated diene group and a 1,1-di-activated vinyl compound are described. The curable compositions can cure by pericyclic reaction mechanisms.

Abstract: An intumescent coating composition includes a binder resin, an acid-generating agent, and an expansion agent. The expansion agent can be meso-lactide, a polylactide or other polyester, a polysulfone, a polycarbonate, a 1,1-di-activated vinyl compound, or an addition polymer of a 1,1-di-activated vinyl compound, or a combination of any thereof.

Abstract: Curable compositions containing a compound comprising a conjugated diene group and a 1,1-di-activated vinyl compound are described. The curable compositions can cure by pericyclic reaction mechanisms.

Abstract: The invention relates to the field of carbohydrate chemistry. Provided is a process for the regioselective oxidation of a single secondary hydroxy function of a carbohydrate substrate comprising two or more secondary hydroxy functions, comprising contacting the carbohydrate substrate in a solvent in the presence of a transition metal catalyst complex with an oxidizing agent to yield a mono-oxidized carbohydrate.

Abstract: The invention relates to the field of carbohydrate chemistry. Provided is a process for the regioselective oxidation of a single secondary hydroxy function of a carbohydrate substrate comprising two or more secondary hydroxy functions, comprising contacting the carbohydrate substrate in a solvent in the presence of a transition metal catalyst complex with an oxidizing agent to yield a mono-oxidized carbohydrate.

Abstract: Provided herein are, inter alia, methods of diagnosing myocardial autoimmunity in subjects by detecting the presence of autoantibodies to cardiac antigens in the subjects.

Abstract: Provided herein are, inter alia, methods of diagnosing myocardial autoimmunity in subjects by detecting the presence of autoantibodies to cardiac antigens in the subjects.

Abstract: A system and method of modeling and evaluating workflows that provides workflow auto generation and Hierarchical Dependence Graphs for workflows. Modeling and evaluation of workflows is accomplished by accessing a knowledge database containing service descriptions, generating valid workflows models, simulating workflow and obtaining customer requirements through a Graphical User Interface. This system and method generate and display workflows that satisfy a users requirements. In addition, Hierarchical Dependence Graphs provide abstract views that provide additional analysis and control of workflow.

Abstract: A system and method of automatically generating workflows. Generating the workflows is accomplished by obtaining customer requirements, providing a knowledge base including at least one service description and selecting at least one combination of service descriptions from the at least one service description based on satisfaction of the customer requirements and satisfaction of determination of connectivity between service descriptions for each combination of the at least one combination. At least one valid workflow model is generated by inference, each workflow model including a combination of the at least one combination.

Abstract: A method and system for translating a JDF workflow into a colored Petri net representation. Once the workflow has been converted, the colored Petri net is validated and analyzed. This provides the ability to identify potential deadlock conditions within a JDF workflow. In addition, the model network can be used to simulate throughput and turnaround time of a workflow and the effects of resources arriving at various times.