A State-based Model of Sensor Proto ols

A New Fault Tolerant Nonlinear Model Predictive Controller Incorporating an UKF-Based Centralized Measurement Fusion Scheme

A new Fault Tolerant Controller (FTC) has been presented in this research by integrating a Fault Detection and Diagnosis (FDD) mechanism in a nonlinear model predictive controller framework. The proposed FDD utilizes a Multi-Sensor Data Fusion (MSDF) methodology to enhance its reliability and estimation accuracy. An augmented state-vector model is developed to incorporate the occurred senso...

Adaptive Proto ols for Information Dissemination in Wireless Sensor Networks

Modularity in Interaction Protocols

ABSTRACT Proto ols or part of proto ols are frequently reused through proje ts if they are suÆ iently generi . For instan e, the Contra t Net proto ol an be used verbatim or in other proto ols su h as the supply hain management. This reusability might be diÆ ult to do due to the la k of reusability in urrent intera tion proto ol formalisms. In this paper, we present a new approa h based on a mo...

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Authenti ation Proto ols Matthias Krause and Dirk Stegemann Theoreti al Computer S ien e University of Mannheim Mannheim, Germany Abstra t. The limited omputational resour es available on RFID tags imply a need for spe ially designed authenti ation proto ols. The light weight authenti ation proto ol HB+ proposed by Juels and Weis seems urrently se ure for several RFID appli ations, but is too s...

Nonlinear Model Improves Stock Return Out of Sample Forecasting (Case Study: United State Stock Market)

Improving out-of-sample forecasting is one of the main issues in financial research. Previous studies have achieved this objective by increasing the number of input variables or changing the kind of input variables. Changing the forecasting model is another possible approach to improve out-of-sample forecasting. Most researches have focused on linear models, while few have studied nonlinear mod...