Now showing items 1-4 of 4

    • Yamaha, M.; Takahashi, M. (Energy Systems Laboratory (http://esl.tamu.edu); Texas A&M University (http://www.tamu.edu), 2004)
      Authors tried to apply an Artificial Neural Network (ANN) to estimation of state of building systems. The systems used in this study were gas combustion water heaters. Empirical equations to estimate gas consumption from ...
    • Kwak, Jaewon; Kim, Soojun; Kim, Gilho; Singh, Vijay P.; Park, Jungsool; Kim, Hung Soo (2016-03-30)
      Long-term streamflow data are vital for analysis of hydrological droughts. Using an artificial neural network (ANN) model and nine tree-ring indices, this study reconstructed the annual streamflow of the Sacramento River ...
    • Zhou, Y.; Zheng, J.; Liu, Z.; Yang, C.; Peng, P. (Energy Systems Laboratory (http://esl.tamu.edu); Texas A&M University (http://www.tamu.edu), 2006)
      At first the basic research about FDD is summarized, and a detection model based on ANN is initially set up. The paper presents experiments that simulate seven faults, including change flow rate of chilled water, cooling ...
    • Alkharobi, Talal M. (Texas A&M University, 2004-11-15)
      Secret sharing is a fundamental notion for secure cryptographic design. In a secret sharing scheme, a set of participants shares a secret among them such that only pre-specified subsets of these shares can get together to ...