Now showing items 614-633 of 2967

    • Damage detection in metal structures using acoustic emission 

      Zachary Kral; Horn, Walter J.; Steck, James E. (Wichita State University. Graduate School, 2009-05-01)
      The structural components of many machines remain in service far beyond their designed lifetimes. This is especially true in the field of aerospace structures, where aircraft, wind turbines, satellites, and other components ...
    • Damage tests on an adaptive flight control system 

      Steck, James E.; Sayeed, F. (Wichita State University. Graduate School., 2006-04-28)
    • Data analytics approaches for breast cancer survivability: comparison of data mining methods 

      Kibis, Eyyub Y. (Wichita State University, 2017-04-28)
      In the early stages of breast cancer, inefficient treatment methods, as well as the patient's health condition may impact the patient's lifetime expectancy. In this study, given a set of explanatory variables that include ...
    • 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 ...
    • Data caching in ad hoc networks using Bloom filters 

      Taylor, Julinda (Wichita State University. Graduate School, 2009-05-01)
      Data caching provides efficient data access by maintaining replicas of data in strategic parts of the network. However, current research in this area does not manage memory space of each node efficiently. We propose an ...
    • Data caching in ad hoc networks using game-theoretic analysis 

      Dang, Hoang (Wichita State University, 2011-05)
      There have been researches that studied selfish data caching in ad hoc networks using game-theoretic analysis. However, due to the caching problem’s theoretical root in classic facility location problem and k-median problem, ...
    • Data collection framework on energy consumption in manufacturing 

      Drake, Rebekah; Yildirim, Mehmet Bayram; Twomey, Janet M.; Whitman, Lawrence E.; Ahmad, Jamal S.; Lodhia, Prashant (2006)
      In this paper, we propose a framework to characterize the energy consumption of machines and their subcomponents (e.g., spindle, coolant pump, controller, heater, hydraulic system in injection molding machine, motors in ...
    • Data driven decision making frameworks with probabilistic graphical models in healthcare 

      Topuz, Kazim (Wichita State University, 2017-05)
      Advancements in data gathering and uncertainty surrounding health care and human behavior require advanced modelling techniques such as Bayesian belief networks (BBNs) and Markov networks (MNs) to analyze such a complex ...
    • Data preservation in intermittently connected sensor network with data priority 

      Xue, Xinyu (Wichita State University, 2013-05)
      In intermittently connected sensor networks, the data generated may have different importance and priority. Different types of data will help scientists analyze the physical environment differently. In a challenging ...
    • Data redistribution problem in data intensive sensor networks 

      Kurkal, Rohini (Wichita State University, 2009-12)
      Data redistribution problem has become a key challenge in the data intensive sensor networks (DISNs), wherein large volume of sensory data are sensed and generated from some sensor nodes about their surrounding physical ...
    • Data replication in data intensive scientific applications with performance guarantee 

      Nukarapu, Dharma Teja (Wichita State University, 2009-12)
      Data replication is well adopted in data intensive scientific applications to reduce the data file transfer time and the bandwidth consumption. However, the problem of data replication in Data Grids, an enabling technology ...
    • Data-driven system identification of nonlinear dynamics for a 6-DOF aircraft model using SINDYc 

      Thibodeaux, Thomas W. (Wichita State University, 2019-12)
      This work employs a data-driven, system identification technique to determine the governing dynamic equations of a nonlinear, 6-DOF aircraft model. A generalized aircraft model is developed, and nonlinearities are ...
    • De-orbit time of on-orbit debris for laser-based removal methods 

      Karampudi, Prathyusha; Dutta, Atri (Univelt, Inc., 2017)
      The amount of space debris in the near-Earth space environment poses a major challenge for current and future space missions. Controlling the growth of on-orbit debris utilizing on-orbit debris removal missions is of great ...
    • A decentralized adaptive control architecture for large-scale active-passive modular systems 

      Gruenwald, Benjamin C.; Arabi, Ehsan; Yucelen, Tansel; Chakravarthy, Animesh; McNeely, Drew (IEEE, 2017-05)
      Decentralized control of large-scale active-passive modular systems is considered. These systems consist of physically interconnected and generally heterogeneous modules, where local control signals can be only applied to ...
    • Decentralized control of interconnected singularly perturbed systems 

      Alfuhaid, Walid Sulaiman (Wichita State University, 2016-08)
      Designing a controller for large scale systems usually involve a high degree of complexity and computation ability. When talking about decentralized interconnected systems, the complexity and computation are not the only ...
    • Decision analysis process model for alternative technologies evaluation within warehousing applications 

      Kolyesnik, Olena (Wichita State University, 2008-05)
      Led by competition, companies strive for competitive advantage. Accepting the value based holistic concept of the supply chain, organizations realize the importance of increased communication flow and availability 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 ...
    • Deep belief network based state classification for structural health diagnosis 

      Tamilselvan, Prasanna; Wang, Yibin; Wang, Pingfeng (IEEE, 2012)
      Effective health diagnosis provides multifarious benefits such as improved safety, improved reliability and reduced costs for the operation and maintenance of complex engineered systems. This paper presents a novel ...
    • 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 ...