Now showing items 475-494 of 1438

    • Factoring Integers Using Newton's Method in the Dyadics 

      McAdoo, Leslie Newton (2019-01-01)
      Here we expand upon the work done by Lomonaco (2013) for division of Generic Integers (an abstraction of Dyadic Integers), by extending Newton's Method for the Dyadics to find the roots of functions of Generic Integers, ...
    • Faking Sandy: Characterizing and Identifying Fake Images on Twitter during Hurricane Sandy 

      Gupta, Aditi; Lamba, Hemank; Kumaraguru, Ponnurangam; Joshi, Anupam (ACM, 2013-05-13)
      In today’s world, online social media plays a vital role during real world events, especially crisis events. There are both positive and negative effects of social media coverage of events -- it can be used by authorities ...
    • Fast estimation of genetic correlation for Biobank-scale data 

      Wu, Yue; Yaschenko, Anna; Heydary, Mohammadreza Hajy; Sankararaman, Sriram (Cold Spring Harbor Laboratory, 2019-01-20)
      Genetic correlation, i.e., the proportion of phenotypic correlation across a pair of traits that can be explained by genetic variation, is an important parameter in efforts to understand the relationships among complex ...
    • Fast estimation of genetic correlation for Biobank-scale data 

      Wu, Yue; Yaschenko, Anna; Heydary, Mohammadreza Hajy; Sankararaman, Sriram (Cold Spring Harbor Laboratory, 2019-01-20)
      Genetic correlation, i.e., the proportion of phenotypic correlation across a pair of traits that can be explained by genetic variation, is an important parameter in efforts to understand the relationships among complex ...
    • A Fast Method to Fine-Tune Neural Networks for the Least Energy Consumption on FPGAs 

      Hosseini, Morteza; Ebrahimabadi, Mohammad; Mazumder, Arnab Neelim; Homayoun, Houman; Mohsenin, Tinoosh (UMBC Energy Efficient High Performance Computing Lab, 2021)
      Because of their simple hardware requirements, low bitwidth neural networks (NNs) have gained significant attention over the recent years, and have been extensively employed in electronic devices that seek efficiency and ...
    • A Fast Network Exploration Strategy to Profile Low Energy Consumption for Keyword Spotting 

      Mazumder, Arnab; Mohsenin, Tinoosh (2022-02-04)
      Keyword Spotting nowadays is an integral part of speech-oriented user interaction targeted for smart devices. To this extent, neural networks are extensively used for their flexibility and high accuracy. However, coming ...
    • Fast simulation of mass-spring systems 

      Liu, Tiantian; Bargteil, Adam W.; O'Brien, James F.; Kavan, Ladislav (ACM, 2013-11)
      We describe a scheme for time integration of mass-spring systems that makes use of a solver based on block coordinate descent. This scheme provides a fast solution for classical linear (Hookean) springs. We express the ...
    • Fault Tolerant Variable Block Carry Skip Logic (VBCSL) using Parity Preserving Reversible Gates 

      Islam, Md. Saiful; Rahman, Muhammad Mahbubur; Begum, Zerina; Hafiz, Mohd. Zulfiquar (2010-09-20)
      Reversible logic design has become one of the promising research directions in low power dissipating circuit design in the past few years and has found its application in low power CMOS design, digital signal processing ...
    • Feasibility and mitigation of false data injection attacks in smart grid 

      Khanna, Kush; Joshi, Anupam (IEEE, 2016-10-06)
      The power grid is evolving rapidly. With the addition of micro-grids and renewable energy resources, and increasing automation in decision-making enabled by sensors, the grid has become very complex. Research in the area ...
    • Feasibility Prediction for Rapid IC Design Space Exploration 

      Islam, Riadul (MDPI, 2020-04-06)
      The DARPA POSH program echoes with the research community and identifies that engineering productivity has fallen behind Moore’s law, resulting in the prohibitive increase in IC design cost at leading technology nodes. ...
    • FEAT: A Fairness-Enhancing and Concept-Adapting Decision Tree Classifier 

      Zhang, Wenbin; Bifet, Albert (Springer, Cham, 2020-10-15)
      Fairness-aware learning is increasingly important in socially-sensitive applications for the sake of achieving optimal and non-discriminative decision-making. Most of the proposed fairness-aware learning algorithms process ...
    • Fed2: Feature-Aligned Federated Learning 

      Yu, Fuxun; Zhang, Weishan; Qin, Zhuwei; Xu, Zirui; Wang, Di; Liu, Chenchen; Tian, Zhi; Chen, Xiang (Association for Computing Machinery, 2021-08-14)
      Federated learning learns from scattered data by fusing collaborative models from local nodes. However, conventional coordinate-based model averaging by FedAvg ignored the random information encoded per parameter and may ...
    • Feeds That Matter: A Study of Bloglines Subscriptions 

      Java, Akshay; Kolari, Pranam; Finin, Tim; Joshi, Anupam; Oates, Tim (2007-03-25)
      David Sifry's latest quarterly report on the state of the Blogosphere states that ``the size of the Blogosphere continues to double every six months". According to this report there are 33.5 million weblogs and many of ...
    • Ferrites Embedded Nanocomposites for High-Q inductors 

      Singh, N. B.; Knight, Thomas; Choa, Fow-Sen; Arnold, Bradley; Loiacono, Julian; Betley, Jennifer (Gexin Publications, 2022-07-11)
      Polymer matrix based nano ferrite composites were prepared to achieve high inductance and hence to increase the performance of RF devices on chip inductors. A commercially suitable and scalable spin spray method was used ...
    • Field localization and enhancement near the Dirac point of a finite defectless photonic crystal 

      D’Aguanno, Giuseppe; Mattiucci, Nadia; Conti, Claudio; Bloemer, Mark J. (American Physical Society, 2013-02-26)
      We use a rigorous electromagnetic approach to show the existence of strongly localized modes in the stop band of a linear, two-dimensional, finite photonic crystal near its Dirac point. At normal incidence, the crystal ...
    • Field localization and enhancement of phase-locked second- and third-order harmonic generation in absorbing semiconductor cavities 

      Roppo, V.; Cojocaru, C.; Raineri, F.; D’Aguanno, G.; Trull, J.; Halioua, Y.; Raj, R.; Sagnes, I.; Vilaseca, R.; Scalora, M. (American Physical Society, 2009-10-26)
      We predict and experimentally observe the enhancement by three orders of magnitude of phase mismatched second and third harmonic generation in a GaAs cavity at 650 and 433 nm, respectively, well above the absorption edge. ...
    • Finding Appropriate Semantic Web Ontology Terms from Words 

      Han, Lushan; Yesha, Yelena; Salkeld, Robin; Martineau, Justin; Ding, Li; Joshi, Anupam (2009-05-01)
      The Semantic Web was designed to unambiguously define and use ontologies to encode data and knowledge on the Web. Many people find it difficult, however, to write complex RDF statements and queries because doing so requires ...
    • Finding Semantic Web Ontology Terms from Words 

      Han, Lushan; Finin, Tim; Yesha, Yelena (2009-10-27)
      The Semantic Web was designed to unambiguously define and use ontologies to encode data and knowledge on the Web. Many people find it difficult, however, to write complex RDF statements and queries because it requires ...
    • Fine and Ultra-Fine Entity Type Embeddings for Question Answering 

      Vallurupalli, Sai; Sleeman, Jennifer; Finin, Tim (2020-11-02)
      We describe our system for the SeMantic AnsweR (SMART) Type prediction task 2020 for both the DBpedia and Wikidata Question Answer Type datasets. The SMART task challenge introduced fine-grained and ultra-fine entity typing ...
    • A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision 

      Tejankar, Ajinkya; Sanjabi, Maziar; Wu, Bichen; Xie, Saining; Khabsa, Madian; Pirsiavash, Hamed; Firooz, Hamed (2022-01-06)
      Using natural language as a supervision for training visual recognition models holds great promise. Recent works have shown that if such supervision is used in the form of alignment between images and captions in large ...