International Business Machines Corporation

Scott William Pollyea

Grant Douglas Miller

Vikas Krishna

Savitha Srinivasan

Hamza Yaswi

Jennifer Joy Kissner

Alan Lee Kohlscheen

Detecting crowds is provided. A location is selected in a set of locations a user of a client device wants to go to based on data within a profile associated with the user. A set of data inputs is monitored to determine a number of people currently at the selected location. Then, in response to determining that the number of people currently at the selected location is not greater than a user-defined threshold level of people for the selected location, a mapped route to the selected location is sent to the client device of the user.

Detecting relative crowd density via client devices

A computer implemented method, data processing system, computer usable program code, and apparatus are provided for dynamically configuring a document sharing system. A document sharing system receives a first request to add a new image file type to the document sharing system. A configuration file is identified for the new image file type to form an identified configuration file. The new image file type is added to the identified configuration file and the identified configuration file is saved as a new configuration file. The new configuration file is used to access files without restarting or recoding the document sharing system.

Dynamic configuration of multiple sources and source types in a business process

A validation matrix computation system automatically computes a validation matrix to analyze performance and efficiency of a global logistics process. The present system comprises identifying metrics and automatically computing the metrics to derive a validation matrix from the metrics. The system comprises a metric capture module installed at all participant locations in the global logistics process. The metric capture module captures, from logs generated at a node, metrics that measure performance at the node. The system generates the validation matrix from the captured metrics and uses the validation matrix to evaluate performance. The metrics comprise quantitative and qualitative metrics; quantitative metrics are automatically computed by correlating logs generated at the nodes and qualitative metrics are computed using surveys completed by participants in the global logistics process.

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Loveland, CO, United States of America

Scott William Pollyea