Now showing items 1068-1087 of 2512

    • Learning rules for anomaly detection of hostile network traffic 

      Mahoney, Matthew V.; Chan, Philip K. (2003-06-10)
      We introduce an algorithm called LERAD that learns rules for finding rare events in nominal time-series data with long range dependencies. We use LERAD to find anomalies in network packets and TCP sessions to detect novel ...
    • Learning rules for time series anomaly detection 

      Mahoney, Matthew V.; Chan, Philip K. (2005-02-17)
      We describe a multi-dimensional time series anomaly detection method in which each point in a test series is required to match the value, slope, and curvature of a point seen in training (with an optional sequential ...
    • Learning rules from system call arguments and sequences for anomaly detection 

      Tandon, Gaurav; Chan, Philip K. (2003-06-11)
      Many approaches have been suggested and various systems have been modeled to detect intrusions from anomalous behavior of systems calls as a result of an attack. Though these techniques have been shown to be quite effective, ...
    • Learning states and rules for time series anomaly detection 

      Salvador, Stan; Chan, Philip K.; Brodie, John (2003-03-09)
      In this paper, we investigate machine learning techniques for discovering knowledge that can be used to monitor the operation of devices or systems. Specifically, we study methods for generating models that can detect ...
    • Learning states for detecting anomalies in time series 

      Salvador, Stan Weidner (2004-04-24)
      The normal operation of a device can be characterized in different operational states. To identify these states, we introduce a segmentation algorithm called Gecko that can determine a reasonable number of segments using ...
    • Light Exoskeleton Gear (L.E.G.) 

      Myers, Andy; Al Matouq, Ali; DeJesus-Banos, Kelsey; Vidmark, Jessica
      The L.E.G. combines the inherent mechanical support of a knee brace with extra assistance provided in a similar way as a robotic leg. Surface Electromyography (SEMG) sensors are connected to the user’s leg to assess ...
    • The lightning-TGF relationship on microsecond timescales 

      Cummer, Steven A.; Lu, Gaopeng; Briggs, Michael S.; Connaughton, Valerie; Xiong, Shaolin; Fisherman, Gerald Jerry; Dwyer, Joseph R. (2011-07-28)
      We analyze the count rates of two terrestrial gamma-ray flashes (TGFs) detected by the Fermi Gamma-ray Burst Monitor (GBM) with the broadband magnetic fields (1 to 300 kHz) produced by the simultaneous lightning processes. ...
    • Limits on spacetime foam 

      Christiansen, Wayne A.; Ng, Yeejack; Floyd, David J. E.; Perlman, Eric S. (2011-04-04)
      Plausibly spacetime is foamy on small distance scales, due to quantum fluctuations. We elaborate on the proposal to detect spacetime foam by looking for seeing disks in the images of distant quasars and active galactic ...
    • Line detection using Wavelet filters 

      Udomhunsakul, Somkait; Kozaitis, S.P.; Sritheeravirojana, Uthai Thai (2003-09-25)
      We proposed a new line detection method in noisy images using Mexican hat wavelet filters. In our approach, we applied the wavelet transform in a multiresolution sense by forming the products of wavelet coefficients at the ...
    • Lineal feature detection of rural imagery using multiresolution filters 

      Kozaitis, S.P.; Cofer, Rufus H. (2003-08-14)
      We detected roads in aerial imagery using a method based on lineal feature detection. Our method used the products of wavelet coefficients at several scales were to identify and locate lineal features. Using our approach ...
    • Linear feature detection using multiresolution wavelet filters 

      Kozaitis, S.P.; Udomhunsakul, Somkait; Cofer, Rufus H.; Agarawal, A.; Song, Shuwu (2002-08-06)
      We detected roads in aerial imagery based on multiresolution linear feature detection. Our method used the products of wavelet coefficients at several scales to identify and locate linear features. After detecting possible ...
    • Linear functional differential equations possessing solutions with a given growth rate 

      Agarwal, Ravi P.; Rontó, András (2005-02-01)
      We establish optimal, in a sense, conditions under which, for arbitrary forcing terms from a suitable class, a linear inhomogeneous functional differential equation in a preordered Banach space possesses solutions satisfying ...
    • Linear Inductive Position Sensor 

      Clark, Brittany; Vreeland, Erin
      The aim of this project is to create a linear position sensor with an accuracy of 1 μm. Two 'driving' inductors are powered by a frequency generator with a magnitude of 4.5 V and a frequency of 1.5 kHz. The inductors create ...
    • Link Foundation 2008‐2010 Energy Fellowship Report 

      Schweizer, Vanessa (2010)
      I completed my PhD in Engineering and Public Policy at Carnegie Mellon University in May of 2010. My dissertation, entitled Developing Useful Long-­term Energy Projections in the Face of Climate Change, seeks to identify ...
    • Link Foundation Fellowship Final Report 

      Duduta, Mihai (2017)
      Dielectric elastomers actuators are compliant capacitors which can convert electrical energy into mechanical energy [1]. The simplest device consists of a thin elastomer sheet sandwiched between two compliant electrodes. ...
    • Link Foundation Fellowship Report 

      Gilmore, Elisabeth A. (2008-09)
      Peak hour electricity demand is associated with wholesale electricity prices that are sometimes more than 10 times higher than in off-peak periods. During these high-demand periods congested transmission lines and insufficient ...
    • Lionsat 

      Guenther, Alec; Maldonado, Derek; Throne, James; Truszkowski, Adam
      In the previous semesters, a mission was designed for a cubesatellite to enter a low-earth orbit and take pictures of weather patterns. To overcome drag and provide essential correction maneuvers, a resistojet would be ...
    • Local adjustment of the background error correlation for surface analyses over complex terrain 

      Myrick, David T.; Horel, John D.; Lazarus, Steven M. (2005-04-01)
      The terrain between grid points is used to modify locally the background error correlation matrix in an objective analysis system. This modification helps to reduce the influence across mountain barriers of corrections to ...
    • A local search optimization algorithm based on natural principles of gravitation 

      Webster, Barry; Bernhard, Philip J. (2003-04-14)
      This paper discusses the concept of an algorithm designed to locate the optimal solution to a problem in a (presumably) very large solution space. The algorithm attempts to locate the optimal solution to the problem by ...
    • Locating Supernovae via Artificial Neural Networks 

      Shahady, Kristin
      The rate at which supernova occur at large distances with high redshifts is hard to obtain. New data collection would require several hundred orbits on the Hubble Space Telescope (HST). However, there are enough HST images ...