J
James M. Landwehr
Researcher at Avaya
Publications - 14
Citations - 329
James M. Landwehr is an academic researcher from Avaya. The author has contributed to research in topics: Network tomography & Network topology. The author has an hindex of 7, co-authored 14 publications receiving 327 citations.
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Patent
Automated workflow method for assigning work items to resources
Didina Burok,Andrew D. Flockhart,James M. Landwehr,Colin L. Mallows,Sami Qutub,Rafal Sitkowski,Leta G. Herman,Peter J. Matteo,Larry John Roybal,Robert C. Steiner,Wen-Hua Ju,Gail Levenelm +11 more
TL;DR: In this paper, an automated method for servicing a plurality of work items within committed times is proposed, where a workflow including two or more work activities is assigned for each of the plurality of tasks and a commitment is assigned either to each workflow or to each work item in each workflow.
Patent
Estimating the location of inexpensive wireless terminals by using signal strength measurements
TL;DR: In this paper, a system is described that enables the estimation of the location of a wireless terminal in a wireless network without requiring modifications to be made to the wireless terminal, and the hardware of some embodiments of the present invention can be inexpensively deployed indoors.
Journal ArticleDOI
Statistical Aspects of the Analysis of Data Networks
Lorraine Denby,James M. Landwehr,Colin L. Mallows,Jean Meloche,John R. Tuck,Bowei Xi,George Michailidis,Vijayan N. Nair +7 more
TL;DR: Methods for estimating edge-level parameters from end-to-end path-level measurements are discussed, an important engineering problem that raises interesting statistical modeling issues.
Patent
System and Method for Displaying Call Flows and Call Statistics
TL;DR: In this article, the authors identify a plurality of call flow events in a call analysis system and associated call statistics are associated with the call flow event, and then organize these events into event groups.
Patent
System and method for software immunization based on static and dynamic analysis
TL;DR: In this article, the authors present systems, methods, and non-transitory computer-readable storage media for analyzing source code and identifying potential defects using static analysis and dynamic testing.