International Business Machines Corporation

Kyndryl, Inc.

Michael Boone

Evelyn R Anderson

Michael Bender

Rhonda L Childress

Natalie Brooks Powell

Sarbajit Kumar Rakshit

Jeremy R Fox

Tushar Agrawal

Atul Mene

Martin G Keen

Hardware and software on a computing device is analyzed based on a regulatory profile for the computing device and regulatory compliance for an entity associated with the computing device. A determination is made whether at least one of the hardware and software on the computing device includes at least one regulatory non-compliance issue. In response to determining that at least one of the hardware and software on the computing device includes at least one regulatory non-compliance issue, one or more scripts are executed on the hardware and software on the computing device to cause the hardware and software to resolve the at least one regulatory non-compliance issue based on the regulatory profile for the computing device.

Remediation of regulatory non-compliance

Embodiments provide predictive dynamic caching in edge devices when connectivity may be potentially lost. A technique includes registering devices that require a connectivity to a cloud server via a network and predicting a likelihood of a network outage of the connectivity to the network for the devices having been registered. The technique includes determining data to cache for each of the devices by analyzing traffic for each of the devices to the cloud server, at least one piece of the data being currently in use by at least one of the devices. The technique includes responsive to predicting the likelihood of the network outage, caching the data to edge devices, and responsive to the connectivity to the network being restored, removing the data cached on the edge devices.

Predictive dynamic caching in edge devices when connectivity may be potentially lost

A computer-implemented method, a computer program product, and a computer system for dynamically altering a code execution workflow using augmented reality (AR). A computer receives, from an AR device of a user, virtual modification of a source code, where the user virtually alters the source code on the augmented realty device. A computer generates an altered execution workflow, based on a virtually altered source code created in the virtual modification. A computer overlays the altered execution workflow on the AR device. A computer executes the altered execution workflow, in response to receiving from the AR device a user request for testing the virtually altered source code. A computer displays on the augmented realty device a result of executing the altered execution workflow. A computer physically alters the source code according to the virtually altered source code, in response to receiving from the AR device satisfactory user feedback about the result.

Dynamically altering a code execution workflow during development using augmented reality

Real-time detection and alerting for swimming pool safety includes obtaining signals from sensor devices installed in a swimming pool area having a swimming pool, ascertaining, based on the obtained signals, that an individual has entered the swimming pool and identifying, based on the obtained signals, characteristics of the individual who has entered the swimming pool, determining whether to raise an alert about the individual having entered the swimming pool, the determining being based at least in part on location of one or more other individuals relative to the swimming pool area and on checking pre-configured parameters for alerting, and performing processing based on the determining whether to raise an alert.

Real-time safety detection and alerting

A method, system, and/or computer program product controls positioning of cargo being loaded onto a cargo vehicle based on sensor readings from another cargo vehicle. One or more processors receive output from a cargo sensor that describes shifting experienced by a first cargo while being transported by a first cargo vehicle, and based on the output, determine that the first cargo has shifted beyond a predetermined amount. The processor(s) transmit instructions to a robotic cargo loader of second cargo being loaded onto a second cargo vehicle to adjust a positioning of the second cargo while being loaded onto the second cargo vehicle based on the first cargo shifting beyond the predetermined amount while being transported by the first cargo vehicle, where the positioning of the second cargo in the second cargo vehicle is different from a positioning of the first cargo on the first cargo vehicle.

Cargo vehicle loading control

A method directs a self-driving cargo vehicle to take an alternate route based on cargo sensor readings from another cargo vehicle. One or more processors receive output from a cargo sensor and a camera, which describe an amount of movement of first cargo being transported by a first cargo vehicle on a first cargo vehicle. The processor(s) evaluate a profile of a controller on a second cargo vehicle, which is a self-driving vehicle, and which is transporting second cargo that is a same type of cargo as the first cargo. The processor(s) determine an alternate route for the second cargo vehicle, and then transmit instructions to the controller to take the second cargo vehicle on the alternate route.

Controller profile based control of a cargo vehicle

A method, system, and/or computer program product controls operations of a vehicle based on a condition of cargo being transported. One or more processors receive output from a camera on a first cargo vehicle, wherein the output from the camera describes a movement of cargo caused by movement of the first cargo vehicle. The processor(s) determine, based on the output from the camera, that the movement of the first cargo vehicle has caused cargo in the first cargo vehicle to shift beyond a predetermined amount, and transmit instructions to a second cargo vehicle to adjust initial cargo loading operations on the second cargo vehicle based on determining that the movement of the first cargo vehicle has caused the cargo to shift beyond the predetermined amount in the first cargo vehicle.

Cargo-based vehicle control

A method, system, and/or computer program product determines an alternate route for a cargo vehicle based on driving profiles of vehicle controllers and sensor readings from another cargo vehicle. One or more processors receive output from a cargo sensor and a camera, on a first cargo vehicle that is controlled by a first controller. The output from the cargo sensor and the camera describe an amount of movement of first cargo being transported by the first cargo vehicle. The processor(s) evaluate a profile of a second controller of a second cargo vehicle that is transporting second cargo similar in type to the first cargo, and determine an alternate route for the second cargo vehicle based on the profile of the second controller. The processor(s) then transmit instructions to the second controller to take the second cargo vehicle on the alternate route.

A method, system, and/or computer program product controls operations of a vehicle based on a condition of cargo being transported. One or more processors receive output from vehicle sensors on a first cargo vehicle, where the output from the vehicle sensors describes a movement of the first cargo vehicle. The processor(s) determine that the movement of the first cargo vehicle has caused cargo in the first cargo vehicle to shift beyond a predetermined amount, and transmit instructions to a second cargo vehicle to adjust initial cargo loading operations on the second cargo vehicle based on determining that the movement of the first cargo vehicle has caused the cargo to shift beyond the predetermined amount in the first cargo vehicle.

A method, system, and/or computer program product controls positioning of cargo being loaded onto a cargo vehicle based on sensor readings from another cargo vehicle. One or more processors receive output from a cargo sensor that describes shifting experienced by a first cargo while being transported by a first cargo vehicle and based on the output, determine that the first cargo has shifted beyond a predetermined amount. The processor(s) receive output from vehicle sensors that describe movement of the first cargo vehicle and then determine that the movement has caused the first cargo to shift beyond the predetermined amount. The processor(s) transmit instructions to a robotic cargo loader of second cargo being loaded onto a second cargo vehicle to adjust positioning of the second cargo, where the positioning of the second cargo in the second cargo vehicle is different from positioning of the first cargo on the first cargo vehicle.

A method, system, and/or computer program product controls operations of a vehicle based on a condition of cargo being transported. One or more processors receive output from vehicle sensors on a first cargo vehicle, wherein the output from the vehicle sensors describes a movement of the first cargo vehicle. The processor(s) determine that the movement of the first cargo vehicle has caused cargo in the first cargo vehicle to shift beyond a predetermined amount, and instruct a second cargo vehicle to adjust operations of the second cargo vehicle based on determining that the movement of the first cargo vehicle has caused the cargo to shift beyond the predetermined amount in the first cargo vehicle.

A method, system, and/or computer program product controls positioning of cargo being loaded onto a cargo vehicle based on sensor readings from another cargo vehicle. One or more processors receive output from a cargo sensor and a camera, on a first cargo vehicle, that describe an amount of movement of first cargo being transported by the first cargo vehicle. The processor(s) then transmit instructions to a loader of second cargo being loaded onto a second cargo vehicle to adjust a positioning of the second cargo while being loaded onto the second cargo vehicle, where the positioning of the second cargo in the second cargo vehicle is different from a positioning of the first cargo on the first cargo vehicle, in order to minimize damage exposure to the second cargo.

A method, system, and/or computer program product controls operations of a vehicle based on a condition of cargo being transported. One or more processors receive output from cargo sensors and cameras on a first cargo vehicle. The processor(s) determine that the cargo has shifted beyond a calculated risk amount in the first cargo vehicle based on the output from the cargo sensors and cameras based on historical trips. The processor(s) determine that the movement of the first cargo vehicle has caused the cargo to shift beyond the calculated risk amount in the first cargo vehicle, and instructs a second cargo vehicle to adjust operations of the second cargo vehicle based on determining that the movement of the first cargo vehicle has caused the cargo to shift beyond the calculated risk amount in the first cargo vehicle.

A method, executed by one or more processors, includes determining a geofence by receiving an indication to determine a first location. The method includes determining a second location. Furthermore, the method includes connecting sequentially each of a set of sequentially determined locations to determine a geofence, wherein the set of sequentially determined locations includes at least the first location and the second location.

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Lutz, FL, United States of America

Michael Boone