Abstract: A method and system for generating a description of live video captured by at least one camera is disclosed. The method includes actuating an automatic incident description mode in a Land Mobile Radio (LMR)-enabled system in response to a system user, attending at an incident, having inputted a corresponding initiation request in respect of the automatic incident description mode. The method also includes employing machine learning-based analytics to generate a textual description of live video captured by at least one camera located at a geographic area of the incident. The method also includes converting the textual description into at least one audio signal that matches at least a portion of content of the textual description. The method also includes transmitting the at least one audio signal, via LMR equipment of the LMR-enabled system and while the incident remains in progress, over at least one LMR communications channel.

Abstract: A computer-implemented method and system for observation management of a drone is disclosed. The computer-implemented method includes generating suitability scores for at least first and second of potential drone flight paths that correspond to first and second out-of-Line Of Sight (LOS) time intervals. The computer-implemented method also includes generating a recommendation message that recommends one of the first and second potential drone flight paths as more suitable than one or more others of a plurality of potential flight paths for the drone.

Abstract: A method for unifying risks and remediations associated with entities in application and infrastructure code, including the steps of: defining governance rules; fetching data from more than one source; extracting features from the data in a unified manner; formalizing sub-entities from the extracted features, the formalized sub-entities representing the extracted features in a formal and unified manner; providing a plurality of entities from the formalized sub-entities, matching and unifying sub-entities having common extracted features into single entities of the plurality of entities; aggregating risks and remediations of each of the same sub-entities and assigning the aggregated risks and remediations to the corresponding single entity; and computing risk priority and triggering workflows based on the matched governance rules.

Abstract: A computer-implemented method and system for observation management of a drone is disclosed. The computer-implemented method includes generating suitability scores for at least first and second of potential drone flight paths that correspond to first and second out-of-Line Of Sight (LOS) time intervals. The computer-implemented method also includes generating a recommendation message that recommends one of the first and second potential drone flight paths as more suitable than one or more others of a plurality of potential flight paths for the drone.

Abstract: A method for mapping source code to computation resource, the method including the steps of: determining computation resources of a cloud provider used by an application; identifying executable artifacts that are deployed on the computation resources; and matching executable artifacts to source-code and configuration content to provide artifact to code or configuration matches.

Abstract: A method for unifying risks and remediations associated with entities in application and infrastructure code, including the steps of: defining governance rules; fetching data from more than one source; extracting features from the data in a unified manner; formalizing sub-entities from the extracted features, the formalized sub-entities representing the extracted features in a formal and unified manner; providing a plurality of entities from the formalized sub-entities, matching and unifying sub-entities having common extracted features into single entities of the plurality of entities; aggregating risks and remediations of each of the same sub-entities and assigning the aggregated risks and remediations to the corresponding single entity; and computing risk priority and triggering workflows based on the matched governance rules.

Abstract: A method for detecting undesired activity prior to performing a code build, the method including: (a) learning behaviors of each of a plurality of entities so as to train unique models for each of the plurality of entities; (b) monitoring new events of the plurality of entities to detect anomalous behavior relative to corresponding models of the unique models; and (c) executing a workflow for remediation of a detected anomalous behavior. A method for monitoring and protecting a deployment process post build, the method including: receiving source code and a corresponding binary resulting from the build of the source code; comparing the source code to the binary for at least one discrepancy there-between; and halting the deployment process if the at least one discrepancy is detected.

Abstract: A multiunit charging device and method for preemptive data upload is provided. A multiunit charging device controls a first mobile device, received at a plurality of charging stations of the multiunit charging device, to upload first data via a communication unit. After upload of the first data has begun, the multiunit charging device detects that a second mobile device is received at the plurality of charging stations. When an amount of second data for upload at the second mobile device is smaller than a remaining amount of the first data for upload at the first mobile device, the multiunit charging device: preempts uploading of the first data at the first mobile device; and controls the second mobile device to upload the second data via the communication unit.

Abstract: A multiunit charging device and method for preemptive data upload is provided. A multiunit charging device controls a first mobile device, received at a plurality of charging stations of the multiunit charging device, to upload first data via a communication unit. After upload of the first data has begun, the multiunit charging device detects that a second mobile device is received at the plurality of charging stations. When an amount of second data for upload at the second mobile device is smaller than a remaining amount of the first data for upload at the first mobile device, the multiunit charging device: preempts uploading of the first data at the first mobile device; and controls the second mobile device to upload the second data via the communication unit.