Abstract: Methods and systems for energy efficient execution of voice commands are disclosed. On receiving a command, based on an action specified by, and the intent of, the command, IoT devices, in the IoT environment, capable of executing the command are determined. Various embodiments determine natural alternative(s) and combinations of natural alternative(s) and IoT devices for executing the command. Individual ranks are assigned to each of the IoT devices, the natural alternative(s), and combinations of natural alternative(s) and IoT devices, based on power consumption of the IoT devices and at least one ecological factor affecting the user experience when the IoT devices and/or the natural alternative(s) may be used in executing the command. An IoT device, a natural alternative, or a combination of an IoT device and a natural alternative may be selected to execute the command, based on the selected IoT device and/or the natural alternative having the highest rank.

Abstract: A method and electronic device for providing personalized health-related advice are provided. The method includes receiving, at the electronic device, a user input indicating a symptom related to the user, retrieving, from the electronic device, at least one medical information of the user, detecting a user activity prior to the symptom arising, correlating the user input indicating the symptom, the at least one medical information of the user and the user activity prior to the symptom arising, and displaying advice about the symptom based on the correlation.

Abstract: This disclosure relates generally to systems and methods of operating systems and more particularly to systems and methods for a smart operating system for integrating dynamic case management into a process management platform. In one embodiment, a computer-implemented dynamic case management method includes creating a plurality of lightweight stateless computing processes; placing the processes in a WAIT state; receiving a request to initiate a process instance corresponding to a lightweight stateless process; placing at least one of the processes in an EXECUTING state; processing the process instance by the processes placed in the EXECUTING state; determining a next process for the process instance; and routing the process instance to the next process.

Abstract: An embodiment of the present invention provides a system and method for medical image processing. The proposed system includes a grid computing framework adapted for receiving patient data including one or more patient-scan images from an end-user application, and for scheduling image processing tasks to a plurality of nodes of a grid computing network. Each of the nodes includes a central processing unit and at least one of the nodes includes programmable graphics processing unit hardware. The proposed system further includes a second framework for image processing using graphics processing unit that is operative on each node of the network. The second framework operative on any node is adapted to execute the image processing task scheduled to that node based upon the availability of graphics processing unit hardware in that node.