Now showing items 245-264 of 597

    • Lajos Takács and his work 

      Dshalalow, Jewgeni H.; Syski, Ryszard (1994-10-01)
      This paper, written in honor of the 70th birthday of Lajos Takács, addresses his life and work, and includes some personal observations and appreciation of his contributions. In particular, it includes a short biography, ...
    • Learning implicit user interest hierarchy for web personalization 

      Kim, Hyoung-Rae (2005-04-19)
      Most web search engines are designed to serve all users in a general way, without considering the interests of individual users. In contrast, personalized web search engines incorporate an individual user's interests when ...
    • Learning models of network traffic for detecting novel attacks 

      Mahoney, Matthew V.; Chan, Philip K. (2002-05-24)
      Network intrusion detection systems often rely on matching patterns that are gleaned from known attacks. While this method is reliable and rarely produces false alarms, it has the obvious disadvantage that it cannot detect ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • Location-specific responses to thermal stress in larvae of the reef-building coral Montastraea faveolata 

      Polato, Nicholas R.; Voolstra, Christian; Schnetzer, Julia; DeSalvo, Michael K.; Randall, Carly J.; Szmant, Alina M.; Medina, Mónica; Baums, Iliana B. (2010-06-23)
      The potential to adapt to a changing climate depends in part upon the standing genetic variation present in wild populations. In corals, the dispersive larval phase is particularly vulnerable to the effects of environmental ...
    • Long-term Effects of Response Cards on Student Engagement and Academic Performance by Students with Disabilities 

      Shubert, Deidra Nicole (2015-05)
      This study examined the effects of response cards on student engagement and academic performance during math instruction. Students in a middle school classroom for students with emotional and behavior disorders (EBD) received ...
    • Low-energy electron production by relativistic runaway electron avalanches in air 

      Dwyer, Joseph R.; Babich, Leonid P. (2011-09-07)
      This paper investigates the production of low-energy (few eV) electrons by relativistic runaway electron avalanches. This work is motivated by a growing body of literature that claims that runaway electron avalanches produce ...
    • Low-energy electron production by relativistic runaway electron avalanches in air 

      Dwyer, Joseph R.; Babich, Leonid P. (2011-09-07)
      This paper investigates the production of low-energy (few eV) electrons by relativistic runaway electron avalanches. This work is motivated by a growing body of literature that claims that runaway electron avalanches produce ...
    • LP 400-22, a Very Low Mass and High-Velocity White Dwarf 

      Kawka, Adéla; Vennes, Stéphane; Oswalt, Terry D.; Smith, J. Allyn; Silvestri, Nicole M. (2006-03-08)
      We report the identification of LP 400-22 (WD 2234+222) as a very low mass and high-velocity white dwarf. The ultraviolet GALEX and optical photometric colors and a spectral line analysis of LP 400-22 show this star to ...
    • A machine learning approach to anomaly detection 

      Chan, Philip K.; Mahoney, Matthew V.; Arshad, Muhammad H. (2003-03-29)