Smart Fence: Decentralized Sequential Hypothesis Testing for Perimeter Security

2013 ◽  
pp. 65-78 ◽  
Author(s):  
Fabien Chraim ◽  
Kristofer Pister
Keyword(s):  
Hypothesis Testing ◽  
Sequential Hypothesis ◽  
Sequential Hypothesis Testing

Sequential Hypothesis Testing

1998 ◽  
pp. 153-190
Author(s):  
Linda J. Young ◽  
Jerry H. Young
Keyword(s):  
Hypothesis Testing ◽  
Sequential Hypothesis ◽  
Sequential Hypothesis Testing

Bridge Inspection Decision Making Based on Sequential Hypothesis Testing Methods

2000 ◽  
Vol 1697 (1) ◽  
pp. 14-18 ◽  
Author(s):  
Samer Madanat ◽  
Da-Jie Lin
Keyword(s):  
Decision Making ◽  
Hypothesis Testing ◽  
Mathematical Formulation ◽  
Bridge Management ◽  
Statistical Decision ◽  
Sequential Hypothesis ◽  
Bridge Structures ◽  
Technological Developments ◽  
Sequential Hypothesis Testing ◽  
The Cost

A bridge management system (BMS) is a decision support system used by a highway agency in selecting appropriate maintenance and rehabilitation (M&R) activities and in allocating available resources effectively among facilities. BMS decision making is based on the condition of bridge components, their predicted deterioration, and the cost and effectiveness of M&R activities. Traditionally, bridge condition assessments have relied mainly on human inspectors; their results have generally been qualitative and subjective. More detailed inspections requiring some degree of destruction of the bridge, like drilling the deck to inspect for chloride contamination, have also been used. With recent technological developments, methods have been developed to evaluate the condition of bridge structures in a quantitative and objective manner. Associated with the use of these technologies are questions relating to inspection frequency, sample size, and the integration of data from the various technologies and human inspections. The application of a statistical decision-making method, sequential hypothesis testing, to these questions is presented. The mathematical formulation of the sequential hypothesis testing model, the derivation of optimal inspection policies, and the implementation of these policies in the context of bridge component inspection are discussed. A parametric analysis illustrates the sensitivity of the method to the cost structure of the problem, the precision of the technologies used, and the historical information or expert judgment regarding the condition of bridge components.

scholarly journals Bayesian Sequential Hypothesis Testing

1990 ◽  
Vol 23 (8) ◽  
pp. 173-178
Author(s):  
J.S. Baras ◽  
D.C. MacEnany
Keyword(s):  
Hypothesis Testing ◽  
Sequential Hypothesis ◽  
Sequential Hypothesis Testing
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