Now showing items 111-130 of 648

    • Data caching for enhancing anonymity 

      Bagai, Rajiv; Tang, Bin (IEEE Computer Society, 2011-03-22)
      The benefits of caching for reducing access time to frequently needed data, in order to improve system performance, are already well-known. In this paper, a proposal for employing data caching for increasing the level of ...
    • Decoupling of large scale systems 

      Shah, Dipak C.; Sawan, M. Edwin; Tran, Minh T. (IEEE, 1984-06-06)
      Linear shift invariant large scale discrete-time multivariable systems whose inputs and outputs are strongly interacted, are considered. The designing of compensators to decouple these systems is presented.
    • Dedicated backup units to alleviate overload on SDN controllers 

      Almohaimeed, Abdulrahman; Asaduzzaman, Abu (IEEE, 2019-03-14)
      Software-Defined Networking (SDN) is a rapidly evolving architecture for computer networking that transforms computer networks into software-driven organizations. The traditional SDN architecture relies on a centralized ...
    • A deep learning based approach for prediction of Chlamydomonas reinhardtii phosphorylation sites 

      Thapa, Niraj; Chaudhari, Meenal; Iannetta, Anthony A.; White, Clarence; Kaushik, Roy; Newman, Robert H.; Hicks, Leslie M.; KC, Dukka B. (Nature, 2021-06-15)
      Protein phosphorylation, which is one of the most important post-translational modifications (PTMs), is involved in regulating myriad cellular processes. Herein, we present a novel deep learning based approach for ...
    • Deep Learning for Optimal Resource Allocation in IoT-enabled Additive Manufacturing 

      Mashhadi, Farshad; Salinas Monroy, Sergio A. (IEEE, 2020-10-13)
      Additive manufacturing is revolutionizing the way that we produce, deliver, and consume objects in many industries. Compared to traditional manufacturing, where large factories mass produce objects far away from consumers, ...
    • Deep learning-based advances in protein structure prediction 

      Pakhrin, Subash C.; Shrestha, Bikash; Adhikari, Badri; KC, Dukka B. (MDPI AG, 2021-05-24)
      Obtaining an accurate description of protein structure is a fundamental step toward understanding the underpinning of biology. Although recent advances in experimental approaches have greatly enhanced our capabilities to ...
    • DeepQA: improving the estimation of single protein model quality with deep belief networks 

      Cao, Renzhi; Bhattacharya, Debswapna; Hou, Jie; Cheng, Jianlin (BioMed Central Ltd, 2016-12-05)
      Background: Protein quality assessment (QA) useful for ranking and selecting protein models has long been viewed as one of the major challenges for protein tertiary structure prediction. Especially, estimating the quality ...
    • DeepRMethylSite: a deep learning based approach for prediction of arginine methylation sites in proteins 

      Chaudhari, Meenal; Thapa, Niraj; Roy, Kaushik; Newman, Robert H.; Hiroto, Saigo; KC, Dukka B. (Royal Society of Chemistry, 2020-06-03)
      Methylation, which is one of the most prominent post-translational modifications on proteins, regulates many important cellular functions. Though several model-based methylation site predictors have been reported, all ...
    • DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction 

      Thapa, Niraj; Chaudhari, Meenal; McManus, Sean; Roy, Kaushik; Newman, Robert H.; Hiroto, Saigo; KC, Dukka B. (Springer, 2020-04-23)
      Protein succinylation has recently emerged as an important and common post-translation modification (PTM) that occurs on lysine residues. Succinylation is notable both in its size (e.g., at 100 Da, it is one of the larger ...
    • The Degraded Gaussian many-access wiretap channel 

      Chou, Remi; Yener, Aylin (IEEE, 2019-07)
      The Gaussian multiple-access wiretap channel when the number of transmitters grows unbounded and at most linearly with the blocklength is studied. Its capacity region is characterized when the eavesdropper channel is ...
    • Delay-based maximum power-weight scheduling with heavy-tailed traffic 

      Lin, Shih-Chun; Wang, Pu; Akyildiz, Ian F.; Luo, Min (IEEE, 2017-08)
      Heavy-tailed (HT) traffic (e.g., the Internet and multimedia traffic) fundamentally challenges the validity of classic scheduling algorithms, designed under conventional light-tailed (LT) assumptions. To address such a ...
    • Demand response and solar to mitigate peak load 

      Sethi, Tushar; Jewell, Ward T. (IEEE, 2019-10)
      Six hundred houses were simulated in this study of the effect of varying solar photovoltaic penetration levels on peak load. In the simulations, demand response (DR) was implemented in the form of air conditioner (AC) load ...
    • Demand response potential in aggregated residential houses using GridLAB-D 

      Hanumantha Vajjala, Vivek Abhilash; Jewell, Ward T. (IEEE, 2015)
      Aggregating houses and then applying a demand response (DR) program yields considerable benefit to both users and utility companies. This aggregation can prove beneficial to the utility because they can obtain an estimate ...
    • Demand side management for residential consumers considering distribution system requirements 

      Gomes, Thanappuhettige Nipuna Mihiranga; Nandasiri, Nimanthi Upeka; Don, Anton H.; Aravinthan, Visvakumar (IEEE, 2021-04-11)
      One of the focus areas of the smart-grid initiative is the residential level demand response. Recent surveys have analyzed price-responsive demand response optimization, mathematical modeling of demand response, responsive ...
    • Design of millimeter wave hybrid beamforming systems 

      Kwon, Girim; Shim, Yeonggyu; Park, Hyuncheol; Kwon, Hyuck M. (IEEE, 2014-09-14)
      Millimeter wave (mmWave) signals experience a significant path-loss in free space. To overcome this weakness, a large number of antennas are needed to obtain a high beamforming gain. Although a large number of antennas can ...
    • A detailed power system planning model: estimating the long-run Impact of carbon-reducing policies 

      Shawhan, Daniel; Taber, John; Zimmerman, Ray; Yan, Jubo; Marquet, Charles; Schulze, William; Schuler, Richard; Thomas, Robert; Tylavsky, Daniel; Shi, Di; Li, Nan; Jewell, Ward T.; Hardy, Trevor David; Hu, Zhouxing (IEEE, 2015)
      In this paper, a much more detailed representation of the nation's electricity system than has been traditionally used in policy models is employed. This detailed representation greatly increases the computational difficulty ...
    • Determination of all robustly stabilizing fractional-order PID controllers 

      Lee, Yung K.; Watkins, John Michael (American Society of Mechanical Engineers, 2013)
      In this paper, a method is provided for determining all fractional-order (FO) proportional–integral-derivative (PID) controllers that robustly stabilize a single-input and single-output (SISO) transfer function of arbitrary ...
    • Determination of all stabilizing fractional-order PID controllers that satisfy a robust performance constraint 

      Lee, Yung K.; Watkins, John Michael (IEEE, 2013-06)
      This paper presents a method for finding all stabilizing fractional-order (FO) proportional-integral-derivative (PID) controllers that satisfy a robust performance constraint for a system of integer or non-integer order ...
    • Determination of all stabilizing fractional-order PID controllers that satisfy a weighted sensitivity constraint 

      Lee, Yung K.; Watkins, John Michael (IEEE, 2012)
      This paper presents a method for determining all stabilizing fractional-order (FO) proportional-integral-derivative (PID) controllers that satisfy an H∞ weighted-sensitivity constraint for a system of integer or non-integer ...
    • Determination of all stabilizing PID controllers for time delay systems with Smith predictors 

      Veeramachaneni, Siva Rama Krishna; Watkins, John Michael; Emami, Tooran (American Society of Mechanical Engineers, 2013)
      Time delays in the control loop complicate the analysis and design of controllers. The use of a Smith predictor is a well-known technique for dealing with delays in stable systems. This paper presents a method for finding ...