Now showing items 41-60 of 309

    • Digital Phase Noise Compensation for DSCM-Based Superchannel Transmission System With Quantum Dot Passive Mode-Locked Laser 

      Vedala, Govind; O’ Sullivan, Maurice; Hui, Rongqing (Institute of Electrical and Electronics Engineers, 2018-05-28)
      We propose a simplified digital phase noise compensation technique for a Nyquist pulse-shaped digital subcarrier multiplexed (DSCM) coherent optical transmission system, employing an optical frequency comb based on Quantum ...
    • Plasmonic parametric resonance 

      Salandrino, Alessandro (American Physical Society, 2018-02-07)
      We introduce the concept of plasmonic parametric resonance (PPR) as a novel way to amplify high angular momentum plasmonic modes of nanoparticles by means of a simple uniform optical pump. In analogy with parametric ...
    • Research and Education in Computational Science and Engineering 

      Rude, Ulrich; willcox, Karen; McInnes, Lois Curfman; De Sterck, Hans (SIAM, 2018-08-08)
      This report presents challenges, opportunities, and directions for computational science and engineering (CSE) research and education for the next decade. Over the past two decades the field of CSE has penetrated both basic ...
    • De novo discovery of structural motifs in RNA 3D structures through clustering 

      Ge, Ping; Islam, Shahidul; Zhong, Cuncong; Zhang, Shaojie (Oxford University Press, 2018-03-09)
      As functional components in three-dimensional (3D) conformation of an RNA, the RNA structural motifs provide an easy way to associate the molecular architectures with their biological mechanisms. In the past years, many ...
    • Digital Compensation of Relative Phase Noise for DSCM Based Coherent Transmission System Using Forward Pumped Distributed Raman Amplification 

      Vedala, Govind; Akasaka, Youichi; Ikeuchi, Tadashi; Hui, Rongqing (IEEE, 2018-12-12)
      We experimentally demonstrate pilot aided compensation of relative phase noise (RPN) in a distributed Raman amplified coherent fiber optic system with forward pumping. This technique effectively eliminates the error floor ...
    • Merging of Numerical Intervals in Entropy-Based Discretization 

      Unknown author (MDPI, 2018-11-16)
      As previous research indicates, a multiple-scanning methodology for discretization of numerical datasets, based on entropy, is very competitive. Discretization is a process of converting numerical values of the data records ...
    • Experimental Results of a Differential Angle-of-Arrival Based 2D Localization Method Using Signals of Opportunity 

      Alaziz, Masud; Allen, Christopher T (Hindawi Publishing Corporation, 2018-03-25)
      This paper presents a study of differential AoA (Angle-of-Arrival) based 2D localization method utilizing FM radio signals (88 MHz–108 MHz) as Signals of Opportunity (SOP). Given prior knowledge of the transmitters’ ...
    • Multi-channel and multi-scale mid-level image representation for scene classification 

      Yang, Jinfu; Yang, Fei; Wang, Guanghui; Li, Mingai (Society of Photo-optical Instrumentation Engineers (SPIE), 2017)
      Convolutional neural network (CNN)-based approaches have received state-of-the-art results in scene classification. Features from the output of fully connected (FC) layers express one-dimensional semantic information but ...
    • Abstracting Extensible Data Types: Or, Rows by Any Other Name 

      Morris, J. Garrett; McKinna, James (Association for Computing Machinery, 2019)
      We present a novel typed language for extensible data types, generalizing and abstracting existing systems of row types and row polymorphism. Extensible data types are a powerful addition to traditional functional programming ...
    • Exceptional Asynchronous Session Types: Session Types without Tiers 

      Fowler, Simon; Lindley, Sam; Morris, J. Garrett; Decova, Sara (Association for Computing Machinery, 2019)
      Session types statically guarantee that communication complies with a protocol. However, most accounts of session typing do not account for failure, which means they are of limited use in real applicationsÐespecially distributed ...
    • Vision-Based Real-Time Aerial Object Localization and Tracking for UAV Sensing System 

      Wu, Yuanwei; Sui, Yao; Wang, Guanghui (Institute of Electrical and Electronics Engineers, 2017-10-23)
      This paper focuses on the problem of vision-based obstacle detection and tracking for unmanned aerial vehicle navigation. A real-time object localization and tracking strategy from monocular image sequences is developed ...
    • Robust Structure and Motion Recovery Based on Augmented Factorization 

      Wang, Guanghui (Institute of Electrical and Electronics Engineers, 2017-09-21)
      This paper proposes a new strategy to promote the robustness of structure from motion algorithm from uncalibrated video sequences. First, an augmented affine factorization algorithm is formulated to circumvent the difficulty ...
    • Mixed Messages: Measuring Conformance and Non-Interference in TypeScript 

      Williams, Jack; Morris, J. Garrett; Wadler, Philip; Zalewski, Jakub (Schloss Dagstuhl, 2017)
      TypeScript participates in the recent trend among programming languages to support gradual typing. The DefinitelyTyped Repository for TypeScript supplies type definitions for over 2000 popular JavaScript libraries. However, ...
    • Phase noise characterization of a QD-based diode laser frequency comb 

      Vedala, Govind; Al-Qadi, Mustafa; O'Sullivan, Maurice; Cartledge, John; Hui, Rongqing (Optical Society of America, 2017)
      We measure, simultaneously, the phases of a large set of comb lines from a passively mode locked, InAs/InP, quantum dot laser frequency comb (QDLFC) by comparing the lines to a stable comb reference using multi-heterodyne ...
    • The Root Cause of Blame: Contracts for Intersection and Union Types 

      Williams, Jack; Morris, J. Garrett; Wadler, Philip (Association for Computing Machinery, 2018-11)
      Gradual typing has emerged as the tonic for programmers with a thirst for a blend of static and dynamic typing. Contracts provide a lightweight form of gradual typing as they can be implemented as a library, rather than ...
    • Multiplex lexical networks reveal patterns in early word acquisition in children 

      Stella, Massimo; Beckage, Nicole M.; Brede, Markus (Nature Research, 2017)
      Network models of language have provided a way of linking cognitive processes to language structure. However, current approaches focus only on one linguistic relationship at a time, missing the complex multi-relational ...
    • Multiplex model of mental lexicon reveals explosive learning in humans 

      Stella, Massimo; Beckage, Nicole M.; Brede, Markus; De Domenico, Manlio (Nature Publishing Group, 2018-02-02)
      Word similarities affect language acquisition and use in a multi-relational way barely accounted for in the literature. We propose a multiplex network representation of this mental lexicon of word similarities as a natural ...
    • The Non-Coding RNA Ontology (NCRO): a comprehensive resource for the unification of non-coding RNA biology 

      Huang, Jingshan; Eilbeck, Karen; Smith, Barry; Blake, Judith A.; Dou, Dejing; Huang, Weili; Natale, Darren A.; Ruttenberg, Alan; Huan, Jun; Zimmermann, Michael T.; Jiang, Guoqian; Lin, Yu; Wu, Bin; Strachan, Harrison J.; He, Yongqun; Zhang, Shaojie; Wang, Xiaowei; Liu, Zixing; Borchert, Glen M.; Tan, Ming (BioMed Central, 2016-05-04)
      In recent years, sequencing technologies have enabled the identification of a wide range of non-coding RNAs (ncRNAs). Unfortunately, annotation and integration of ncRNA data has lagged behind their identification. Given ...
    • RefSelect: a reference sequence selection algorithm for planted (l, d) motif search 

      Yu, Qiang; Huo, Hongwei; Zhao, Ruixing; Feng, Dazheng; Vitter, Jeffrey Scott; Huan, Jun (BioMed Central, 2015-11-12)
      Background The planted (l, d) motif search (PMS) is an important yet challenging problem in computational biology. Pattern-driven PMS algorithms usually use k out of t input sequences as reference sequences to generate ...
    • Predictive Toxicology: Modeling Chemical Induced Toxicological Response Combining Circular Fingerprints with Random Forest and Support Vector Machine 

      Koutsoukas, Alexios; St. Amand, Joseph; Mishra, Meenakshi; Huan, Jun (Frontiers Media, 2016-03-02)
      Modern drug discovery and toxicological research are under pressure, as the cost of developing and testing new chemicals for potential toxicological risk is rising. Extensive evaluation of chemical products for potential ...