Samsung Electronics Co., Ltd.

International Business Machines Corporation

Microsoft Technology Licensing, LLC

Sap Se

Thomas Phan

Wen-Syan Li

Simon J Gibbs

Anugeetha Kunjithapatham

Jingren Zhou

Ramesh Natarajan

Priyang Rathod

Juhan Lee

Won J Jeon

Changha Lim

Satoki Mitsumori

A method of user evaluations includes transforming data from different data sources to preserve privacy of the data. The group of similar peers is created based on the data from the different data sources. The group of similar peers is optimized by selecting a combination of transformed data from the different data sources. An evaluation for a user against the group of similar peers is dynamically performed based on evaluation metrics. The evaluation is provided to an electronic device.

Peer-based user evaluation from multiple data sources

A mobile handset device determines a physical activity performed by a user based on local sensor data. The local sensor data can include sensors within the mobile handset device and local sensors in communication with the mobile handset device. The mobile handset device provides an indicator of the physical activity to a publisher. The publisher targets advertisements based on the current activity or activity pattern of the user.

Displaying mobile advertising based on determining user's physical activity from mobile device sensor data

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

A method and device for triggering acquisition of geolocation fix information. The method include determining activity state information based on information from one or more sensors. It is determined if an activity state has transitioned to a particular activity state based on the activity state information. Geolocation fix information is acquired if the activity state transitioned to the particular activity state.

Triggering geolocation fix acquisitions on transitions between physical states

A mobile handset device collects sensor data about the physiological state of the user of the handset. The mobile handset device receives multimedia content, which is consumed on the mobile handset. In a deployment phase, the sensor data is used to classify the user's emotional response to individual pieces of media content consumed on the mobile device. A classification model built in a training phase may be used to map sensor data to classification labels indicative of the user's emotional response to multimedia.

Using physical sensory input to determine human response to multimedia content displayed on a mobile device

A scheduler may receive a plurality of jobs for scheduling of execution thereof on a plurality of computing nodes. An evaluation module may provide a common interface for each of a plurality of scheduling algorithms. An algorithm selector may utilize the evaluation module in conjunction with benchmark data for a plurality of jobs of varying types to associate one of the plurality of scheduling algorithms with each job type. A job comparator may compare a current job for scheduling against the benchmark data to determine a current job type of the current job. The evaluation module may further schedule the current job for execution on the plurality of computing nodes, based on the current job type and the associated scheduling algorithm.

Heuristics-based scheduling for data analytics

The invention pertains to a system and method for a set of middleware components for supporting the execution of computational applications on high-performance computing platform. A specific embodiment of this invention was used to deploy a financial risk application on Blue Gene/L parallel supercomputer. The invention is relevant to any application where the input and output data are stored in external sources, such as SQL databases, where the automatic pre-staging and post-staging of the data between the external data sources and the computational platform is desirable. This middleware provides a number of core features to support these applications including for example, an automated data extraction and staging gateway, a standardized high-level job specification schema, a well-defined web services (SOAP) API for interoperability with other applications, and a secure HTML/JSP web-based interface suitable for non-expert and non-privileged users.

System and method for automating and scheduling remote data transfer and computation for high performance computing

A method of assigning web service requests to service providers includes searching for an optimal assignment from all possible assignments using a genetic algorithm (GA) that represents possible assignments as chromosomes, and converging towards an assignment of web service request to service providers that maximizes overall business value for all workflows to the service providers. An adaptive mutation scheme is used to introduce mutation into populations of chromosomes. The mutation scheme includes a mutation rate that increases when chromosomes under evaluation fail to improve its workload against the metric over a certain number of generations.

Quality of service aware scheduling for composite web service workflows

A distributed job-processing environment including a server, or servers, capable of receiving and processing user-submitted job queries for data sets on backend storage servers. The server identifies computational tasks to be completed on the job as well as a time frame to complete some of the computational tasks. Computational tasks may include, without limitation, preprocessing, parsing, importing, verifying dependencies, retrieving relevant metadata, checking syntax and semantics, optimizing, compiling, and running. The server performs the computational tasks, and once the time frame expires, a message is transmitted to the user indicating which tasks have been completed. The rest of the computational tasks are subsequently performed, and eventually, job results are transmitted to the user.

Distributed multi-phase batch job processing

In a first embodiment of the present invention, a method of interpreting a situation of a user of an electronic device is provided, comprising: gathering social data related to the user; monitoring one or more physical sensors on the electronic device in order to gather physical data related to the user; mapping structured data in the social data and the physical data to internal data types; extracting features from unstructured social data; identifying attributes related to the features; obtaining values for the identified attributes; interpreting movement of the user by examining the physical data; and detecting a situation of the user by fusing the movement of the user with the identified attributes of the features of the unstructured social data and features of structured social data.

Near real-time analysis of dynamic social and sensor data to interpret user situation

The embodiments of the invention provide a method, program storage device, etc. for automated and dynamic management of query views for database workloads. More specifically, a method begins by executing queries, which includes accessing a set of data tables for each of the queries. During the executing of the queries, the method accesses a required data table from a cache if the required data table is present in the cache and creates the required data table if the required data table is not present in the cache. The accessing of the required data table from the cache has a lower processing cost than accessing the required data table from a base table. Also during the executing of the queries, created data tables are stored in the cache, wherein one or more of the created data tables are removed from the cache when the cache becomes full.

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San Jose, CA, United States of America

Thomas Phan