Abstract: Techniques regarding the management of computational resources based on clinical priority associated with one or more computing tasks are provided. For example, one or more embodiments described herein can regard a system comprising a memory that can store computer-executable components. The system can also comprise a processor, operably coupled to the memory, that executes the computer-executable components stored in the memory. The computer-executable components can include a prioritization component that can prioritize computer applications based on a clinical priority of tasks performed by the computer applications. The clinical priority can characterize a time sensitivity of the tasks. The computer-executable components can also include a resource pool component that can divide computational resources across a plurality of resource pools and can assign the computer applications to the plurality of resource pools based on the clinical priority.

Abstract: Availability of future capacity can be determined for various categories of resources. In some embodiments, logistic regression models are used to obtain binary predictions of availability. In this way, a customer or other entity can obtain a determination as to the availability of a specific number and category or resources, or resource instances, at a future period of time. In some embodiments alternatives may be provided, which may provide improved characteristics or may have a higher likelihood of availability. Such approaches can also be used to monitor current and future capacity demands and enable a provider to better plan appropriate adjustments to the physical resources that provide that capacity.

Abstract: Intelligent, distributed medical software management (e.g., using a computerized tool) is enabled. A system can comprise a processor, and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising determining requirement information representative of one or more requirements of a medical application off a group of medical applications, wherein the medical application is associated with a medical device, based on the requirement information, allocating elements of a cluster employable to host and run the medical application in a medical application container, wherein the elements of the cluster are determined to satisfy the requirement information, and in response to allocating the elements of the cluster, hosting the medical application in the medical application container, wherein hosting the medical application comprises communicatively coupling the medical application to the medical device.

Abstract: Techniques regarding the management of computational resources based on clinical priority associated with one or more computing tasks are provided. For example, one or more embodiments described herein can regard a system comprising a memory that can store computer-executable components. The system can also comprise a processor, operably coupled to the memory, that executes the computer-executable components stored in the memory. The computer-executable components can include a prioritization component that can prioritize computer applications based on a clinical priority of tasks performed by the computer applications. The clinical priority can characterize a time sensitivity of the tasks. The computer-executable components can also include a resource pool component that can divide computational resources across a plurality of resource pools and can assign the computer applications to the plurality of resource pools based on the clinical priority.

Abstract: A method is disclosed for calibrating a vehicle model used to autonomously control a machine on a worksite. The method may include measuring a first value indicative of an operating condition of the machine, predicting a second value, using the vehicle model, corresponding to the first value and indicative of the operating condition, and determining a difference between the first value and the second value. The method may also include autonomously directing the machine to a calibration site of the worksite in response to determining that the difference between the first value and the second value is greater than a predetermined threshold, wherein the calibration site is automatically selected from a plurality of locations at the worksite based on a suitability index of the calibration site.

Abstract: A method is disclosed of modifying a worksite for calibrating a vehicle model used to autonomously control a first machine on the worksite. The method may include receiving a signal from the first machine indicative of an aspect of the vehicle model in need of calibration. The method may also include determining, in response to receipt of the signal, that the worksite includes a calibration site having a characteristic corresponding to the aspect of the vehicle model, and that calibrating the aspect of the vehicle model requires modifying the characteristic of the calibration site. The method may further include modifying the characteristic of the calibration site with a second machine at the worksite, and directing the first machine to the modified calibration site for autonomous calibration of the aspect of the vehicle model.

Abstract: A method and system for providing remote vision to a remote operator with respect to a plurality of machines includes a remote vision system with one or more display screens and a receiver for receiving video information and machine information from each of the one or more machines. A controller console is linked to the remote vision system and the receiver, and is configured to calculate a priority ranking of the plurality of machines based on the received machine data and to display the video information from each machine as one or more video displays on a display screen wherein at least one of the one or more video displays is modified in appearance and/or position or duration of placement based on the priority ranking.

Abstract: A method is disclosed of modifying a worksite for calibrating a vehicle model used to autonomously control a first machine on the worksite. The method may include receiving a signal from the first machine indicative of an aspect of the vehicle model in need of calibration. The method may also include determining, in response to receipt of the signal, that the worksite includes a calibration site having a characteristic corresponding to the aspect of the vehicle model, and that calibrating the aspect of the vehicle model requires modifying the characteristic of the calibration site. The method may further include autonomously modifying the characteristic of the calibration site with a second machine at the worksite, and directing the first machine to the modified calibration site for autonomous calibration of the aspect of the vehicle model.

Abstract: A method for coaching an operator of a machine is disclosed. The method includes the controller collecting actual data related to an operation of the machine performed by the operator. The controller determines a type of operation being performed based on the actual data. The controller compares the actual data to expected data for the type of operation. The controller flags a coaching point based on the comparison of actual data to expected data, and the controller provides an image of the machine relating to the coaching point.

Abstract: A method is provided for coaching an operator of an earthmoving machine having a controller. The method may include the controller presenting a list of coaching points to the operator. The controller receives input to execute a coaching point selected by the operator. The controller accesses memory to retrieve a predetermined method for execution of the coaching point. The controller manipulates the machine to execute the coaching point according to the predetermined method.

Abstract: A method and system for providing remote vision to a remote operator with respect to a plurality of machines includes a remote vision system with one or more display screens and a receiver for receiving video information and machine information from each of the one or more machines. A controller console is linked to the remote vision system and the receiver, and is configured to calculate a priority ranking of the plurality of machines based on the received machine data and to display the video information from each machine as one or more video displays on a display screen wherein at least one of the one or more video displays is modified in appearance and/or position or duration of placement based on the priority ranking.

Abstract: A method is disclosed of modifying a worksite for calibrating a vehicle model used to autonomously control a first machine on the worksite. The method may include receiving a signal from the first machine indicative of an aspect of the vehicle model in need of calibration. The method may also include determining, in response to receipt of the signal, that the worksite includes a calibration site having a characteristic corresponding to the aspect of the vehicle model, and that calibrating the aspect of the vehicle model requires modifying the characteristic of the calibration site. The method may further include autonomously modifying the characteristic of the calibration site with a second machine at the worksite, and directing the first machine to the modified calibration site for autonomous calibration of the aspect of the vehicle model.

Abstract: A method is disclosed for calibrating a vehicle model used to autonomously control a machine on a worksite. The method may include measuring a first value indicative of an operating condition of the machine, predicting a second value, using the vehicle model, corresponding to the first value and indicative of the operating condition, and determining a difference between the first value and the second value. The method may also include autonomously directing the machine to a calibration site of the worksite in response to determining that the difference between the first value and the second value is greater than a predetermined threshold, wherein the calibration site is automatically selected from a plurality of locations at the worksite based on a suitability index of the calibration site.

Abstract: A method is disclosed for calibrating a vehicle model used to autonomously control a machine on a worksite. The method may include measuring a first value indicative of an operating condition of the machine, predicting a second value, using the vehicle model, corresponding to the first value and indicative of the operating condition, and determining a difference between the first value and the second value. The method may also include autonomously directing the machine to a calibration site of the worksite in response to determining that the difference between the first value and the second value is greater than a predetermined threshold, wherein the calibration site is automatically selected from a plurality of locations at the worksite based on a suitability index of the calibration site.

Abstract: A method, controller and system in accordance with various aspects of the present disclosure provide display-based control of a motor grader for grading near a curb or other roadway marker. A blade image is displayed to the operator on a display screen showing a portion of the blade and a portion of the curb or marker, and input is received from the operator to move the blade such that a gap between the portion of the blade and the portion of the curb conforms to a target distance. The gap between the portion of the blade and the portion of the curb is monitored as the motor grader moves along the curb and the location of the blade relative to the curb is automatically adjusted such that the gap remains at the target distance. The blade image may be updated as the motor grader proceeds along the curb.

Abstract: A method is provided for controlling a motor grader having a blade, a blade shift actuator, a sensor to detect a distance to a curb, one or more steerable wheels, a steering actuator, an articulated frame, and an articulation actuator. In one aspect, an object sensor is located and configured to determine a gap between the blade and the curb, and to maintain the gap at a predetermined value in the absence of user intervention by automatically manipulating one or more of the blade shift actuator, steering actuator, and articulation actuator. The determination as to which one or more of the actuators to use in maintaining the blade gap may be made based on a mode selection by an operator of the motor grader.

Abstract: The room 10 has a front wall 12 having at least one transparent window 22. The room 10 also has a ceiling 18 that slants from a high end 26 at or adjacent the front wall 12 to a low end 28 removed from the front wall 12. The ceiling 18 has an aperture 30 in it. There is a concave dome 32 on the outside of the ceiling 18 that covers the aperture, and the inside surface of the concave dome 32 is light reflecting. Lights 36 shine appropriate colors on the light reflecting inside surface 34 of the concave dome 32. The lights 36 are concealed from a viewer 24 located on the outside of the front wall 12.