Now showing items 658-677 of 918

    • Quadratic Interactions in Finite, One-Dimensional, Photonic Band Gap Structures with Deep Gratings: beyond the Undepleted Pump Regime 

      D'Aguanno, G.; Centini, M.; Scalora, M.; Sibilia, C.; Bertolotti, M.; Bowden, Ch.M.; Bloemer, M.J. (University of Warsaw, 2003)
      We theoretically study quadratic interactions in finite, one-dimensional, photonic band gap structures with deep gratings, under strong pumping and global phase matching conditions. For second harmonic generation, we find ...
    • Quantifying Network Denial of Service: A Location Service Case Study 

      Chen, Yan; Bargteil, Adam; Bindel, David; Katz, Randy H.; Kubiatowicz, John (Springer, Berlin, Heidelberg, 2001-10-24)
      Network Denial of Service (DoS) attacks are increasing in frequency, severity and sophistication, making it desirable to measure the resilience of systems to DoS attacks. In this paper, we propose a simulation-based ...
    • A Quantum Algorithm To Locate Unknown Hashes For Known N-Grams Within A Large Malware Corpus 

      Allgood, Nicholas R.; Nicholas, Charles K. (2020-05-07)
      Quantum computing has evolved quickly in recent years and is showing significant benefits in a variety of fields. Malware analysis is one of those fields that could also take advantage of quantum computing. The combination ...
    • Quantum Annealing Based Binary Compressive Sensing with Matrix Uncertainty 

      Ayanzadeh, Ramin; Mousavi, Seyedahmad; Halem, Milton; Finin, Tim (2019-01-01)
      Compressive sensing is a novel approach that linearly samples sparse or compressible signals at a rate much below the Nyquist-Shannon sampling rate and outperforms traditional signal processing techniques in acquiring and ...
    • Quantum Approximate Optimization for Hard Problems in Linear Algebra 

      Borle, Ajinkya; Elfving, Vincent E.; Lomonaco, Samuel J.
      The Quantum Approximate Optimization Algorithm (QAOA) by Farhi et al. is a quantum computational framework for solving quantum or classical optimization tasks. Here, we explore using QAOA for Binary Linear Least Squares ...
    • Quantum to classical transition in an information ratchet 

      Stevens, Josey; Deffner, Sebastian
      Recent years have seen a flurry of research activity in the study of minimal and autonomous information ratchets. However, the existing classical and quantum models are somewhat hard to compare, and, hence, quantifying ...
    • Quantum-Assisted Greedy Algorithms 

      Ayanzadeh, Ramin; Halem, Milton; Dorband, John; Finin, Tim (2019-12-08)
      We show how to leverage quantum annealers to better select candidates in greedy algorithms. Unlike conventional greedy algorithms that employ problem-specific heuristics for making locally optimal choices at each stage, ...
    • Quasi-normal modes description of waves in 1-D photonic crystal 

      Severini, Sergio; Settimi, A.; Mattiucci, N.; Sibilia, Concita; Centini, Marco; D'Aguanno, Giuseppe; Bertolotti, Mario; Scalora, Michael; Bloemer, Mark J.; Bowden, Charles M. (SPIE, 2003-07-08)
      For the first time the quasi normal mode treatment is used and extended to the description of the scalar field behaviour in one dimensional photonic crystals. A one-dimensional photonic crystal is a particular configuration ...
    • Quasinormal-mode description of waves in one-dimensional photonic crystals 

      Settimi, A.; Severini, S.; Mattiucci, N.; Sibilia, C.; Centini, M.; D’Aguanno, G.; Bertolotti, M.; Scalora, M.; Bloemer, M.; Bowden, C. M. (American Physical Society (APS), 2003-08-29)
      Quasinormal-mode treatment is extended to the description of scalar field behavior in one-dimensional photonic crystals. A one-dimensional photonic crystal is a particular configuration of an open cavity, where discontinuities ...
    • Quenched optical transmission in ultrathin subwavelength plasmonic gratings 

      D’Aguanno, G.; Mattiucci, N.; Alù, A.; Bloemer, M. J. (American Physical Society (APS), 2011-01-27)
      We discuss the optical properties of one-dimensional ultrathin subwavelength, metallic gratings under transverse magnetic excitation, with particular attention to the phenomenon of quenched transmission, recently highlighted ...
    • Query Distribution Estimation and Predictive Caching in Mobile Ad Hoc Networks 

      Gupta, Sheetal; Joshi, Anupam; Patwardhan, Anand; Santiago, Justin (ACM, 2008-06-13)
      The problem of data management has been studied widely in the field of mobile ad-hoc networks and pervasive computing. The issue addressed is that finding the data required by a device depends on chance encounter with the ...
    • Query Routing and Processing in Mobile Ad-Hoc Environments 

      Perich, Filip; Avancha, Sasikanth; Joshi, Anupam; Yesha, Yelena; Joshi, Karuna (2001-11-12)
      In existing mobile information access systems, mobile devices are typically viewed as consumers of information, with information providers resident on the wired network. With the advent of short-range ad-hoc connectivity ...
    • Querying in Packs: Trustworthy Data Management in Ad Hoc Networks 

      Patwardhan, Anand; Perich, Filip; Joshi, Anupam; Finin, Tim; Yesha, Yelena (Springer Nature Switzerland AG., 2006-06-09)
      We describe a trust-based data management framework enabling mobile devices to access the distributed computation, storage, and sensory resources available in pervasive computing environments. Available resources include ...
    • A Question and Answering System for Management of Cloud Service Level Agreements 

      Mittal, Sudip; Gupta, Aditi; Joshi, Karuna P.; Pearce, Claudia; Joshi, Anupam (IEEE, 2017-09-11)
      One of the key challenges faced by consumers is to efficiently manage and monitor the quality of cloud services. To manage service performance, consumers have to validate rules embedded in cloud legal contracts, such as ...
    • A Queueing Theoretic Model for Service Discovery in Ad-hoc Networks 

      Chakraborty, Dipanjan; Shenoi, Avinash; Yesha, Yelena; Yesha, Yaacov; Joshi, Anupam; Singhal, Mukesh (2004-01-31)
      This paper describes an analytical model for service discovery protocols in ad-hoc networks. We propose a bottom-up approach towards modeling various essential features of distributed service discovery protocols. More ...
    • Radiation pressure of light pulses and conservation of linear momentum in dispersive media 

      Scalora, Michael; D’Aguanno, Giuseppe; Mattiucci, Nadia; Bloemer, Mark J.; Centini, Marco; Sibilia, Concita; Haus, Joseph W. (American Physical Society (APS), 2006-05-16)
      We derive an expression for the Minkowski momentum under conditions of dispersive susceptibility and permeability, and compare it to the Abraham momentum in order to test the principle of conservation of linear momentum ...
    • RadSense: Enabling one hand and no hands interaction for sterile manipulation of medical images using Doppler radar 

      Miller, Elishiah; Li, Zheng; Mentis, Helena; Park, Adrian; Zhu, Ting; Banerjee, Nilanjan (Elsevier, 2019-11-15)
      In this paper, we show how surgeons can interact with medical images using finger and hand gestures in two situations: one hand-free and no hands-free interaction. We explain how interaction with only one hand or a couple ...
    • Rafiki: A Semantic and Collaborative Approach to Community Health-care in Underserved Areas 

      Pappachan, Primal; Yus, Roberto; Joshi, Anupam; Finin, Tim (IEEE, 2014-10-22)
      Community Health Workers (CHWs) act as liaisons between health-care providers and patients in underserved or un-served areas. However, the lack of information sharing and training support impedes the effectiveness of CHWs ...
    • RAM: Radar-based Activity Monitor 

      Khan, Md Abdullah Al Hafiz; Kukkapalli, Ruthvik; Waradpande, Piyush; Kulandaivel, Sekar; Banerjee, Nilanjan; Roy, Nirmalya; Robucc, Ryan (IEEE, 2016-07-20)
      Activity recognition has applications in a variety of human-in-the-loop settings such as smart home health monitoring, green building energy and occupancy management, intelligent transportation, and participatory sensing. ...
    • RBM Image Generation Using the D-Wave 2000Q 

      Sleeman, Jennifer; Halem, Milton; Dorband, John (UMBC, 2019-10-30)
      We describe a hybrid approach that combines a deep convolutional neural network autoencoder and a quantum Restricted Boltzmann Machine (RBM) for image generation using the D-Wave 2000Q. We compare the quantum learned ...