Now showing items 1-20 of 646

    • Where Does Work End and Home Life Begin? 

      Berge, Zane L.; Bichy, Cassie; Grayson, Candice; Johnson, Anthony; Macadoff, Stephen; Nee, Kathryn (IGI Global Disseminator of Knowledge, 2009)
      Many years ago, it was a commonly held belief that technology would improve industries and service professions, which means that people could work shorter hours and their employers would make just as much money. Essentially, ...
    • Unfolding the Structure of a Document using Deep Learning 

      Rahman, Muhammad Mahbubur; Finin, Tim (2019-09-29)
      Understanding and extracting of information from large documents, such as business opportunities, academic articles, medical documents and technical reports, poses challenges not present in short documents. Such large ...
    • Learning from Observations Using a Single Video Demonstration and Human Feedback 

      Gandhi, Sunil; Oates, Tim; Mohsenin, Tinoosh; Waytowich, Nicholas (2019-09-29)
      In this paper, we present a method for learning from video demonstrations by using human feedback to construct a mapping between the standard representation of the agent and the visual representation of the demonstration. ...
    • A Bayesian Data Analytics Approach to Buildings’ Thermal Parameter Estimation 

      Pathak, Nilavra; Foulds, James; Roy, Nirmalya; Banerjee, Nilanjan; Robucci, Ryan (Association for Computing Machinery, 2019-06-28)
      Modeling buildings’ heat dynamics is a complex process which depends on various factors including weather, building thermal capacity, insulation preservation, and residents’ behavior. Gray-box models offer an explanation ...
    • In silico dermoscopy with detailed subsurface scattering 

      Seipp, B.; Olano, M.; Badano, A. (The Eurographics Association, 2019)
      We describe an approach to modeling dermoscopy, the imaging modality for the examination of skin lesions, using accurate subsurface scattering in human skin. We make use of an open-source, path-tracing program with advanced ...
    • A Graph-based Automatic Services Composition based on Cost Estimation Heuristic 

      Lee, Yunsu; Kulvatunyou, Boonserm; Lee, Minchul; Peng, Yun; Ivezic, Nenad (National Institute of Standards and Technology, 2019-10-31)
      Currently, software and hardware are being virtualized and offered as services on the internet. Companies have an opportunity to improve their workflow by composing these services that best suitable their requirements from ...
    • Chatbot Application on Cryptocurrency 

      Xie, Qitao; Zhang, Qingquan; Tan, Dayuan; Zhu, Ting; Xiao, Shen; Li, Beibei; Sun, Lei; Yi, Ping; Wang, Junyu (IEEE, 2019-07-11)
      Many chatbots have been developed that provide a multitude of services through a wide range of methods. A chatbot is a brand-new conversational agent in the highspeed changing technology world. With the advance of Artificial ...
    • Modeling phase noise in high-power photodetectors 

      Mahabadi, Seyed Ehsan Jamali; Carruthers, Thomas F.; Menyuk, Curtis R. (IEEE, 2019-08-22)
      We describe the simulation model that we use to calculate the impulse response and phase noise in a modified unitraveling carrier (MUTC) photodetector using the drift-diffusion equations while avoiding computationally ...
    • Temperature sensor based on liquid-filled negative curvature optical fibers 

      Wei, Chengli; Young, Joshua T.; Menyuk, Curtis R.; Hu, Jonathan (Optical Society of America, 2019-06-24)
      We computationally investigate a novel temperature sensor that uses liquid-filled negative curvature optical fibers. Both the core and cladding tubes are infiltrated with a liquid that has a temperature-sensitive refractive ...
    • Learning to regularize with a variational autoencoder for hydrologic inverse analysis 

      O’Malley, Daniel; Golden, John K.; Vesselinov, Velimir V. (2019-06-06)
      Inverse problems often involve matching observational data using a physical model that takes a large number of parameters as input. These problems tend to be under-constrained and require regularization to impose additional ...
    • PPT : New Low Complexity Deterministic Primality Tests Leveraging Explicit and Implicit Non-Residues 

      Phatak, Dhananjay; Sherman, Alan T.; Houston, Steven D.; Henry, Andrew (2019-08-20)
      In this set of three companion manuscripts/articles, we unveil our new results on primality testing and reveal new primality testing algorithms enabled by those results. The results have been classified (and referred to) ...
    • KiloGrams: Very Large N-Grams for Malware Classification 

      Raff, Edward; Fleming, William; Zak, Richard; Anderson, Hyrum; Finlayson, Bill; Nicholas, Charles; McLean, Mark (2019-08-01)
      N-grams have been a common tool for information retrieval and machine learning applications for decades. In nearly all previous works, only a few values of n are tested, with n>6 being exceedingly rare. Larger values of n ...
    • Picturing Bivariate Separable-Features for Univariate Vector Magnitudes in Large-Magnitude-Range Quantum Physics Data 

      Zhao, Henan; Chen, Jian (2019-05-06)
      We present study results from two experiments to empirically validate that separable bivariate pairs for univariate representations of large-magnitude-range vectors are more efficient than integral pairs. The first ...
    • Moving to client-side hashing for online authentication 

      Blanchard, Nikola K.; Coquand, Xavier; Selker, Ted
      Credential leaks still happen with regular frequency, and show evidence that, despite decades of warnings, password hashing is still not correctly implemented in practice. The common practice today, inherited from previous ...
    • Reflexive Memory Authenticator: a proposal for effortless renewable biometrics 

      Blanchard, Nikola K.; Kachanovich, Siargey; Selker, Ted; Waligorski, Florentin
      Today’s biometric authentication systems are still struggling with replay attacks and irrevocable stolen credentials. This paper introduces a biometric protocol that addresses such vulnerabilities. The approach prevents ...
    • Breast Tumor Detection and Classification Using Intravoxel Incoherent Motion Hyperspectral Imaging Techniques 

      Chan, Si-Wa; Chang, Yung-Chieh; Huang, Po-Wen; Ouyang, Yen-Chieh; Chang, Yu-Tzu; Chang, Ruey-Feng; Chai, Jyh-Wen; Chen, Clayton Chi-Chang; Chen, Hsian-Min; Chang, Chein-I.; Lin, Chin-Yao (Hindawi, 2019-07-28)
      Breast cancer is a main cause of disease and death for women globally. Because of the limitations of traditional mammography and ultrasonography, magnetic resonance imaging (MRI) has gradually become an important radiological ...
    • Soliton Frequency Combs in Dual Microresonators 

      Qi, Zhen; Menyuk, Curtis R. (Optical Society of America, 2019-09-15)
      We study soliton frequency combs generated in dual microresonators with different group velocity dispersion. We obtain stable bright and dark solitons at different pump amplitudes.
    • Third-Order Nonlinear Optical Properties of ALD Grown TiO2 Thin Films 

      Kuis, R.; Basaldua, I.; Burkins, P.; Kropp, J. A.; Gougousi, T.; Johnson, A. M. (Optical Society of America, 2019-09-15)
      Nonlinear index values as high as 1±.1x10-9 cm2/W were measured of ALD based TiO2 films. The 1000-fold increase in the index is believed to be due to the incorporation of nitrogen during growth.
    • Dissipative cnoidal waves (Turing rolls) and the soliton limit in microring resonators 

      Qi, Zhen; Wang, Shaokang; Jaramillo-Villegas, José; Qi, Minghao; Weiner, Andrew M.; D'Aguanno, Giuseppe; Carruthers, Thomas F.; Menyuk, Curtis R. (Optical Society of America, 2019-05-17)
      Single solitons are a special limit of more general waveforms commonly referred to as cnoidal waves or Turing rolls. We theoretically and computationally investigate the stability and accessibility of cnoidal waves in ...
    • Energy Transport Station Deployment in Electric Vehicles Energy Internet 

      Sui, Yu; Yi, Ping; Liu, Xin; Zhu, Ting (IEEE, 2019-07-02)
      Energy Internet allows energy to flow flexibly for transmission and it can transport energy to every energy user via electric vehicles (EVs). The energy that EVs use is produced from renewable energy sources like solar ...