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{ "item_title" : "Optimal Sampling of a Chemical Hazard Area", "item_author" : [" Air Force Institute of Technology (U S )", "Graduate School of Engineering and Manag", "Jennifer R. Plourde "], "item_description" : "This thesis proposes a methodology for optimally sampling a chemical hazard area subsequent to a chemical weapons attack. The objective is to identify the maximum number of areas that no longer require protective gear for safe operations. We model the area as an undirected graph and employ network analysis techniques to provide a methodological framework for identifying an optimal sampling sequence within a fixed time limit. We propose four models that characterize the secondary vapor concentrations: i) static and deterministic, ii) static and stochastic, iii) dynamic and deterministic, and iv) dynamic and stochastic. Comparisons of the static cases and their dynamic counterparts demonstrate the impact of temporal evolution of vapor concentrations on the optimal sampling path. We conclude that the number of safe areas may be either under- or over-estimated depending on the assumed nature of the secondary vapors.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/24/944/379/1249443792_b.jpg", "price_data" : { "retail_price" : "17.95", "online_price" : "17.95", "our_price" : "17.95", "club_price" : "17.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Optimal Sampling of a Chemical Hazard Area|Air Force Institute of Technology (U S )
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Overview

This thesis proposes a methodology for optimally sampling a chemical hazard area subsequent to a chemical weapons attack. The objective is to identify the maximum number of areas that no longer require protective gear for safe operations. We model the area as an undirected graph and employ network analysis techniques to provide a methodological framework for identifying an optimal sampling sequence within a fixed time limit. We propose four models that characterize the secondary vapor concentrations: i) static and deterministic, ii) static and stochastic, iii) dynamic and deterministic, and iv) dynamic and stochastic. Comparisons of the static cases and their dynamic counterparts demonstrate the impact of temporal evolution of vapor concentrations on the optimal sampling path. We conclude that the number of safe areas may be either under- or over-estimated depending on the assumed nature of the secondary vapors.

This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.

This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.

As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

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Details

  • ISBN-13: 9781249443797
  • ISBN-10: 1249443792
  • Publisher: Biblioscholar
  • Publish Date: September 2012
  • Dimensions: 9.21 x 6.14 x 0.23 inches
  • Shipping Weight: 0.36 pounds
  • Page Count: 110

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