Now showing items 1450-1469 of 3226

    • Learning nonstationary models of normal network traffic for detecting novel attacks 

      Mahoney, Matthew V.; Chan, Philip K. (2002-04-29)
      Traditional intrusion detection systems (IDS) detect attacks by comparing current behavior to signatures of known attacks. One main drawback is the inability of detecting new attacks which do not have known signatures. In ...
    • 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 ...
    • Leveraging Stimulus Equivalence to Teach Piano to Children with Autism 

      Hussain, Krystin Katherine (2018-12)
      Music-based interventions have been shown to benefit individuals diagnosed with autism spectrum disorder (ASD) by improving deficits such as social behaviors, communication, and vocalizations, as well as reducing behavioral ...
    • 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 ...
    • Lighting a Path to Biofouling Prevention: Investigating the Effect of Ultraviolet Light on Biofouling 

      Braga, Cierra Rose (2018-12)
      Ultraviolet light (UV) is considered an environmentally friendly antifouling method because it disrupts biological growth without the release of harmful toxins. The application of UV for the marine shipping industry is ...
    • 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 ...
    • Linear Theory of Alfvén Wave Reflections at a Density Discontinuity 

      Marcus, Shane (2019-04)
      One of the most important outstanding problems in solar physics is explaining why the corona is much hotter than the surrounding solar atmosphere, called the Coronal Heating Problem (CHP). There has been much work in ...
    • 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] 

      Martinson, Alex (2008)
      Efficient conversion of solar radiation into electricity is a compelling scientific and economic goal. As the world’s energy demands continue to grow it has become clear that burning fossil fuels for energy is unsustainable ...
    • [Link Foundation Fellowship Final Report] 

      Barradale, Merrill Jones (2007)
      My research seeks to understand investment decision making in the electric power sector as it relates to wind energy and, ultimately, other forms of renewable energy, by investigating investor attitudes, preferences, and ...