Microsoft Technology Licensing, LLC

Samsung Electronics Co., Ltd.

Juhan Lee

Chad E Verbowski

Roussi A Roussev

John David Dunagan

Jeffrey P Snover

Casey Kiernan

Paul B Darcy

Steve A DeLuca

Kevin Hodge

Sally J Martin

Shan Lu

Arunvijay Kumar

Brad Daniels

Jong Hoon Ahnn

Yi-Min Wang

Thomas Phan

Arun S Jagatheesan

Xiaogang Liu

A method is implemented by at least one server. The method includes obtaining a set of users as a function of profile records regarding a plurality of users. The method includes defining a subset of the users as a peer group based on peer group formation features by applying a clustering algorithm to profile records of the set of users. The method includes calculating a peer group metric value for the peer group based on behaviors of the subset of users in the peer group. The method includes calculating a user metric value for a target-user included in the subset based on behavior of the target-user. The method includes constructing a message relating the patient metric value to the peer group metric value.

Automatic construction of personalized, peer-derived messages for mobile health applications

An electronic system includes: a storage unit configured to store a usage profile; a control unit, coupled to the storage unit, configured to retrieve the usage profile for a profile period, prepare an application during the profile period, and determine a power level from the usage profile for executing or offloading the application during the profile period.

Electronic system with offloading mechanism and method of operation thereof

A method and device for recognizing an utterance. The method includes transmitting context data associated with a first device to a second device. A first speech recognition model is received from the second device. The first speech recognition model is a subset of a second speech recognition model present at the second device. The first speech recognition model is based on the context data. It is determined whether the utterance can be recognized at the first device based on the first speech recognition model. If the utterance cannot be recognized at the first device, then at least a portion of the utterance is sent to the second device. If the utterance can be recognized at the first device, then an action associated with the recognized utterance is performed.

Multi-level speech recognition

Apparatus and methods for intercepting and analyzing threads are disclosed. In one embodiment, a thread data recorder is configured to instrument one or more existing functions by modifying computer executable instructions in the functions to intercept threads calling the functions. In one possible implementation, the number of existing functions instrumented can be reduced by instrumenting choke point functions. The instrumented functions can also capture data associated with the threads as the threads execute at the function. This data can be saved to memory and compressed into logs. In one aspect, the data can be saved and/or compressed at a time when processor resources are being used at or below a predetermined level. The captured data can be used to analyze a functioning of a computer system in which the threads were produced.

Thread interception and analysis

Apparatus and methods for intercepting and analyzing threads are disclosed. In one embodiment, a thread data recorder is configured to instrument one or more existing functions by modifying computer executable instructions in the functions to intercept threads calling the functions. In one possible implementation, the number of existing functions instrumented can be reduced by instrumenting choke point functions. The instrumented functions can also capture data associated with the threads as the threads execute at the function. This data can be saved to memory and compressed into logs. In one aspect, the data can be saved and/or compressed at a time when processor resources are being used at or below predetermined level. The captured data can be used to analyze a functioning of a computer system in which the threads were produced.

Systems and methods for implementing system management which are based on reviewing of the interactions between one or more programs and the persistent state they tend to represent. The system provides for detection of modifications that occur within a system, verifying whether the modifications are approved or not and generating notifications on detecting unknown modifications.

Program modification and loading times in computing devices

A method and system for providing a computing device control interface are provided. A system administrator accesses a graphical user interface and selects a group of actions that are to be executed by a number of computing devices. The actions selected by the system administrator are embodied in a graphical action icon and displayed on the graphical user interface. The system administrator initiates the actions by manipulating the action icon such that it overlaps a computer icon, which embodies one or more computing devices within the network that will execute the selected actions. The computing device icon is also displayed on the user interface. The user interface executes the selected action on the selected computer and then generates an archive file embodying the execution of the selected actions on the selected group of computing devices.

Growing community of inventors

Issaquah, WA, United States of America

Juhan Lee