Now showing items 1522-1541 of 1916

    • Resting state functional MRI reveals abnormal network connectivity in neurofibromatosis 1 

      Tomson, Steffie N.; Schreiner, Matthew J.; Narayan, Manjari; Rosser, Tena; Enrique, Nicole; Silva, Alcino J.; Allen, Genevera I.; Bookheimer, Susan Y.; Bearden, Carrie E. (2015)
      Neurofibromatosis type I (NF1) is a genetic disorder caused by mutations in the neurofibromin 1 gene at locus 17q11.2. Individuals with NF1 have an increased incidence of learning disabilities, attention deficits, and ...
    • RESTORATION AND FUNCTIONAL ANALYSIS OF NUCLEAR MEDICINE IMAGES 

      WENDT, RICHARD ERNEST, III (1982)
      The nuclear medicine physician uses visual interpretation of a movie-like display of the beating human heart to detect wall motion abnormalities which might be related to impaired cardiac function. The present work is ...
    • Results on Distributed Processor Scheduling with Limited Memory 

      Gonsalves, Timothy (1978-06-20)
      This paper is a study of scheduling on a 2-processor distributed system when one processor has a limited memory. A program is assumed to consist of a set of sequentially executing modules and is represented by Stone's ...
    • Rethinking Image Compression for the Object Detection Task 

      Barua, Souptik (2015-12-03)
      Traditionally, image compression algorithms, such as JPEG, have been designed for human viewers' satisfaction. Increasingly however, more and more images are being viewed by computers, for performing computer vision tasks ...
    • Review of Incoherent Broadband Cavity-Enhanced Absorption Spectroscopy (IBBCEAS) for Gas Sensing 

      Zheng, Kaiyuan; Zheng, Chuantao; Zhang, Yu; Wang, Yiding; Tittel, Frank K. (2018)
      Incoherent broadband cavity-enhanced absorption spectroscopy (IBBCEAS) is of importance for gas detection in environmental monitoring. This review summarizes the unique properties, development and recent progress of the ...
    • Reward Scheduling for QoS in Cloud Applications 

      Elnably, Ahmed (2012-09-05)
      The growing popularity of multi-tenant, cloud-based computing platforms is increasing interest in resource allocation models that permit flexible sharing of the underlying infrastructure. This thesis introduces a novel ...
    • Rice University NanoJapan Program: Connecting US Undergraduates with Leading Japanese Nanotechnology Research Laboratories: National Science Foundation, Tokyo Regional Office 

      Kono, J.; Phillips, S.R.; Matherly, C.A. (2008-04-17)
      National Science Foundation, Tokyo Regional Office: Special Scientific Report #08-01. As international partnerships are becoming increasingly indispensible to solving major science and engineering problems, U.S. researchers ...
    • Risk and Fault Tolerance Analysis for Robotics and Manufacturing 

      Hamilton, Deirdre L.; Cavallaro, Joseph R.; Walker, Ian D. (1996-05-01)
      This paper describes a novel method for analyzing, within one framework, several important types of risk associated with robotics and manufacturing applications. We will build on the established technique of Fault Tree ...
    • Robot Fault Detection and Fault Tolerance: A Survey 

      Visinsky, Monica L.; Cavallaro, Joseph R.; Walker, Ian D. (1994-01-01)
      Fault tolerance is increasingly important for robots, especially those in remote or hazardous environments. Robots need the ability to effectively detect and tolerate internal failures in order to continue performing their ...
    • Robot Reliability Estimation Using Interval Methods 

      Carreras, Carlos; Walker, Ian D.; Nieto, Octavio; Cavallaro, Joseph R. (1999-02-24)
      Reliability is a critical issue for many robotic applications, where failures can be disastrous. Traditional reliability analysis algorithms depend on the algebraic manipulation of given input data (representing subsystem ...
    • Robot reliability through fuzzy Markov models 

      Leuschen, Martin Leslie (1997)
      In the past few years, new applications of robots have increased the importance of robotic reliability and fault tolerance. Standard approaches of reliability engineering rely on the probability model, which is often ...
    • Robot Reliability Through Fuzzy Markov Models 

      Leuschen, Martin L.; Walker, Ian D.; Cavallaro, Joseph R. (1998-01-01)
      In the past few years, new applications of robots have increased the importance of robotic reliability and fault tolerance. Standard approaches of reliability engineering rely on the probability model, which is often ...
    • Robot Reliability Through Fuzzy Markov Models 

      Leuschen, Martin L. (1997-04-20)
      In the past few years, new applications of robots have increased the importance of robotic reliability and fault tolerance. Standard approaches of reliability engineering rely on the probability model, which is often ...
    • Robot Reliability Using Fuzzy Fault Trees and Markov Models 

      Leuschen, Martin L.; Walker, Ian D.; Cavallaro, Joseph R. (1996-11-01)
      Robot reliability has become an increasingly important issue in the last few years, in part due to the increased application of robots in hazardous and unstructured environments. However, much of this work leads to complex ...
    • Robotic Fault Detection Using Nonlinear Analytical Redundancy 

      Leuschen, Martin L.; Cavallaro, Joseph R.; Walker, Ian D. (2002-05-01)
      In this paper we discuss the application of our recently developed nonlinear analytical redundancy (NLAR) fault detection technique to a two-degree of freedom robot manipulator. NLAR extends the traditional linear AR ...
    • Robotic Fault Tolerance: Algorithms and Architectures 

      Visinsky, Monica L.; Cavallaro, Joseph R.; Walker, Ian D. (1993-04-01)
      Fault tolerance is an essential factor in ensuring successful autonomous systems, especially for robots working in remote or hazardous environments. To avoid the cost and risk involved in sending humans into these environs ...
    • Robust continuous-time detection in linear process noise 

      Rao, Srinivasa Patibandla (1992)
      Linear processes are suitable for modeling the random received waveforms in a scattering channel, which represents radar, sonar and multipath communication channels. We address the continuous-time detection problem where ...
    • ROBUST CONTROL OF LINEAR SYSTEMS 

      STAATS, PRESTON WILLIAM, JR. (1974)
    • Robust Distributed Estimation in Sensor Networks using the Embedded Polygons Algorithm 

      Delouille, Veronique; Neelamani, Ramesh; Baraniuk, Richard G. (2004-04-01)
      We propose a new iterative distributed algorithm for linear minimum mean-squared-error (LMMSE) estimation in sensor networks whose measurements follow a Gaussian hidden Markov graphical model with cycles. The <i>embedded ...
    • Robust Distributed Estimation Using the Embedded Subgraphs Algorithm 

      Delouille, Veronique; Neelamani, Ramesh; Baraniuk, Richard G. (2006-08-01)
      We propose a new iterative, distributed approach for linear minimum mean-square-error (LMMSE) estimation in graphical models with cycles. The embedded subgraphs algorithm (ESA) decomposes a loopy graphical model into a ...