Now showing items 1-20 of 2038

    • 1-bit Phase Shifters for Large-Antenna Full-Duplex mmWave Communications 

      da Silva, José Mairton Barros Jr.; Sabharwal, Ashutosh; Fodor, Gábor; Fischione, Carlo (2020)
      Millimeter-wave using large-antenna arrays is a key technological component for the future cellular systems, where it is expected that hybrid beamforming along with quantized phase shifters will be used due to their implementation and cost efficiency. In this paper, we investigate the efficacy of full-duplex mmWave communication with hybrid beamforming ...
    • The 2nu-SVM: A Cost-Sensitive Extension of the nu-SVM 

      Davenport, Mark A. (2005-12-01)
      Standard classification algorithms aim to minimize the probability of making an incorrect classification. In many important applications, however, some kinds of errors are more important than others. In this report we review cost-sensitive extensions of standard support vector machines (SVMs). In particular, we describe cost-sensitive extensions of ...
    • 3-D Local Radon Power Spectra for Seismic Attribute Extraction 

      Steeghs, Philippe; Fokkema, Jacob T; Diephuis, Gerhard (1998-01-15)
      In this paper we discuss a method for volume attribute extraction that is based on a new type of local Radon power spectrum. The new algorithm results in robust and geologically meaningful volume attributes, such as volume dip and azimuth. Seismic volume attribute analysis greatly facilitates the interpretation of large 3-D seismic data volumes. ...
    • 3-D segmentation and volume estimation of radiologic images by a novel, feature driven, region growing technique 

      Agris, Jacob Martin (1992)
      Magnetic Resonance (MR) imaging is a 3-D, multi-slice, radiological technique that acquires multiple intensities corresponding to each voxel. The transverse relaxation time, T$\sb1$, and the axial relaxation time, T$\sb2$, are two commonly obtained intensities that tend to be orthogonal. Automated segmentation of 3-D regions is very difficult because ...
    • 3D Geometry Coding using Mixture Models and the Estimation Quantization Algorithm 

      Lavu, Sridhar (2002-09-01)
      3D surfaces are used in applications such as animations, 3D object modeling and visualization. The geometries of such surfaces are often approximated using polygonal meshes. This thesis aims to compress 3D geometry meshes by using an algorithm based on normal meshes and the Estimation-Quantization (EQ) algorithm. Normal meshes are multilevel ...
    • 3D microfabrication of single-wall carbon nanotube/polymer composites by two-photon polymerization lithography 

      Ushiba, Shota; Shoji, Satoru; Masui, Kyoko; Kuray, Preeya; Kono, Junichiro; (2013)
      We present a method to develop single-wall carbon nanotube (SWCNT)/polymer composites into arbitrary three-dimensional micro/nano structures. Our approach, based on two-photon polymerization lithography, allows one to fabricate three-dimensional SWCNT/polymer composites with a minimum spatial resolution of a few hundreds nm. A near-infrared ...
    • 3D printed fiber optic faceplates by custom controlled fused deposition modeling 

      Wang, Ye; Gawedzinski, John; Pawlowski, Michal E.; Tkaczyk, Tomasz S. (2018)
      A 3D printing technique for manufacturing air-clad coherent fiber optic faceplates is presented. The custom G-code programming is implemented on a fused deposition modeling (FDM) desktop printer to additively draw optical fibers using high-transparency thermoplastic filaments. The 3D printed faceplate consists of 20000 fibers and achieves spatial ...
    • 802.11b Operating in a Mobile Channel: Performance and Challenges 

      Steger, Christopher; Radosavljevic, Predrag; Frantz, Patrick (2003-09-20)
      In the past, the worlds of wireless voice and data transmission have been largely disjoint. Voice traffic has been carried over circuit-switched cellular links, and data has been largely restricted to packet-switched wireless LANs. Now, as consumers demand higher bandwidth connections without sacrificing mobility and traffic transitions from primarily ...
    • A behavioral approach to positive interpolation 

      Mayo, Andrew (2005)
      We study interpolation by positive functions from a behavioural point of view. In particular, by considering the notion of mirror image data, the interpolation problem with passivity constraint is transformed into an unconstrained behavioural modeling one. It will be shown that the generating system for this problem has to be unitary with respect to ...
    • A closed-loop model of the ovine cardiovascular system 

      Qian, Junhui (2003)
      The conscious sheep is an important large animal model for the study of human cardiovascular and cardiopulmonary system. In this study we develop a closed-loop mathematical model of its cardiovascular system. A distributed approach is taken in describing the systemic circulation, which is divided into cerebral, coronary, foreleg, thoracic, abdominal, ...
    • A coding theoretic approach to image segmentation 

      Ndili, Unoma Ifeyinwa (2001)
      Using a coding theoretic approach, we achieve unsupervised image segmentation by implementing Rissanen's concept of Minimum Description Length (MDL) for estimating piecewise homogeneous regions in images. MDL offers a mathematical foundation for balancing brevity of descriptions against their fidelity to the data by penalizing overly complex ...
    • A communications and interaction model for intelligent cooperating robots 

      Ciscon, Lawrence Albert (1993)
      In complex robotic operating environments in which robots must cooperate in a flexible and event-driven manner, a cooperative distributed environment for intelligent control is required. We develop a realistic technique for going beyond the model of a central controller for a multi-robot environment and replacing it with a schema of interacting, ...
    • A Compressive Phase-Locked Loop 

      Schnelle, Stephen (2011)
      We develop a new method for tracking narrowband signals acquired through compressive sensing, called the compressive sensing phase-locked loop (CS-PLL). The CS-PLL enables one to track oscillating signals in very large bandwidths using a small number of measurements. Not only does the CS-PLL potentially operate below the Nyquist rate, it can extract ...
    • A Context-Aware Trust Framework for Resilient Distributed Cooperative Spectrum Sensing in Dynamic Settings 

      Vosoughi, Aida; Cavallaro, Joseph R.; Marshall, Alan (2017)
      Cognitive radios enable dynamic spectrum access where secondary users (SUs) are allowed to operate on the licensed spectrum bands on an opportunistic noninterference basis. Cooperation among the SUs for spectrum sensing is essential for environments with deep shadows. In this paper, we study the adverse effect of insistent spectrum sensing data ...
    • A Data and Platform-Aware Framework For Large-Scale Machine Learning 

      Mirhoseini, Azalia (2015-04-24)
      This thesis introduces a novel framework for execution of a broad class of iterative machine learning algorithms on massive and dense (non-sparse) datasets. Several classes of critical and fast-growing data, including image and video content, contain dense dependencies. Current pursuits are overwhelmed by the excessive computation, memory access, and ...
    • A distinct population of heterogeneously color-tuned neurons in macaque visual cortex 

      Nigam, Sunny; Pojoga, Sorin; Dragoi, Valentin (2021)
      Color is a key feature of natural environments that higher mammals routinely use to detect food, avoid predators, and interpret social signals. The distribution of color signals in natural scenes is widely variable, ranging from uniform patches to highly nonuniform regions in which different colors lie in close proximity. Whether individual neurons ...