Andrew Zimdars

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Timothy Jordan

Canadian University of Dubai

Joelle Adams

Bath Spa University

sahra kunz

Universidade Católica Portuguesa

Shirley Bennett

University of Northampton

David Seamon

Kansas State University

Gerardo L Blanco

Boston College

Adam M Croom

Case Western Reserve University

Gwynne Ellen Ash

Texas State University

Jo Iacovides

University of York

Theresa J Tanenbaum

University of California, Irvine

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Papers by Andrew Zimdars

Automated Clustering of Win32 Applications Based on Failure Behavior

We present a preliminary exploration of application crash events in Win32 systems by automatic cl... more We present a preliminary exploration of application crash events in Win32 systems by automatic clustering. The crash events, collected from workstations in the UC Berkeley electrical engineering and computer science department, identify the crashed application and DLL, and the time of the crash event. We use these identifying features to augment the crash data with information about usage patterns and

Using Temporal Data for Making Recommendations

We treat collaborative filtering as a univariate time series estimation problem: given a user&#39... more We treat collaborative filtering as a univariate time series estimation problem: given a user's previous votes, predict the next vote. We describe two families of methods for transforming data to encode time order in ways amenable to off-the-shelf classification and density estimation tools, and examine the results of using these approaches on several real-world data sets. The improvements in predictive accuracy we realize recommend the use of other predictive algorithms that exploit the temporal order of data.

End-to-end prototyping and validation for health management sensor networks

2005 IEEE Aerospace Conference, 2005

The cost and complexity of aerospace platforms currently under development, from the Joint Strike... more The cost and complexity of aerospace platforms currently under development, from the Joint Strike Fighter (JSF) to NASA&amp;#x27;s Crew Exploration Vehicle (CEV), requires integrated systems that monitor system state, diagnose failures, and correct faults with minimal intervention. Embedded sensor networks with large numbers of integrated low-power processors, sensors, and network transceivers suggest one approach. As sensor technology matures, tighter integration

Real-time indoor mapping for mobile robots with limited sensing

by Mark Quilling, Prasanta Bose, and Andrew Zimdars

The 7th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (IEEE MASS 2010), 2010

Mapping and localization for indoor robotic navigation is a well-studied field. However, existing... more Mapping and localization for indoor robotic navigation is a well-studied field. However, existing work largely relies on long range perceptive sensors in addition to the robot's odometry, and little has been done with short range sensors. In this paper, we propose a method for real-time indoor mapping using only short range sensors such as bumpers and/or wall sensors that enable wall-following. The method uses odometry data from the robot's wall-following trajectory, together with readings from bumpers and wall sensors. The method first performs trace segmentation by fitting line segments to the noisy trajectory. Given the assumption of approximately rectilinear structure in the floor plans, typical for most indoor environments, a probabilistic rectification process is then applied to the segmented traces to obtain the orthogonal wall outlines. Both segmentation and rectification are performed on-line onboard the robot during its navigation through the environment. The resulting map is a set of line segments that represents the wall outline. The method has been tested in office buildings. Experimental results have shown that the method is robust to noisy odometry and non-rectilinear obstacles along the walls.

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Consequence analysis of complex events on critical U.S. infrastructure

by Andrew Zimdars, Nabil Adam, Ryan Timmons, and Jackie Leung

Communications of the ACM, 2013

ABSTRACT How to mitigate a cyber-physical attack that disables the transportation network and rel... more

Network utility maximization-based Mobile Ad hoc Networking: A reality check

by Mark Quilling, Andrew Zimdars, and Julee Pandya

MILCOM 2008 - 2008 IEEE Military Communications Conference, 2008

In this paper we present a network utility maximization (NUM)-based architecture developed under ... more In this paper we present a network utility maximization (NUM)-based architecture developed under the Defense Advanced Research Projects Agency (DARPA) Control-Based Mobile Ad hoc Networking (CBMANET) program, namely Mobility-Aware Resource Coordination for Optimization of Networking Infrastructure (MARCONI). MARCONI plays a fundamental role not only in advancing NUM theory to address tactical communication requirements but also in developing and integrating the algorithms and decision rules into a software stack. NUM theory was originally limited to unicast, elastic, long-lived flows. Therefore, it was imperative to extend it to inelastic flows with strict deadlines (e.g.