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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
21

An inference model with probabilistic ontologies to support automation in effects-based operations planning

Henrique Costa Marques 17 December 2012 (has links)
In modern day operations, planning has been an increasingly complex activity. This is especially true in scenarios where there is an interaction between civilian and military organizations, involving multiple actors in a diversified way, with the intertwining requirements that limit the solution space in non-trivial ways. Under these circumstances, decision support systems are an essential tool that can also become a problem if not properly used. Although this has been widely recognized by the planning and decision support systems communities, there has been little progress in designing a comprehensive methodology for course of action (COA) representation that supports the diverse aspects of the Command and Control planning cycle in Effects-Based Operations (EBO). This work proposes an approach based on probabilistic ontologies capable to support task planning cycle in EBO at the Command and Control tactical planning level. At this level, we need to specify the tasks that will possibly achieve the desired effects defined by the upper echelon, with uncertainty not only in the execution, but also from the environment parameters. Current approaches suggest solutions to the operational level, giving greater importance to the process of targeting while approaches to the tactical level do not take into account the uncertainty present in the environment and actions in their ability to achieve the desired effect. To offer a possible solution to knowledge representation at the tactical level, an inference model was developed to generate the planning problem to be sent to a planning system. The proposed model also describes simulation as a tool to assist the plan';s refinement. The main contribution of this work is the development of a process of probabilistic inference against a knowledge base that is capable of dealing with uncertainty at the tactical level, where different tasks can achieve the same effect, but with different probabilities of success. Obtained results indicate the feasibility of the proposal once valid plans are generated in reasonable time from general orders or requests.
22

Um modelo de alinhamento de sistemas de comando e controle.

Johanlemberg Ferreira de Almeida 09 December 2009 (has links)
Este trabalho propõe um modelo de alinhamento de sistemas de Comando e Controle (C2) que possibilite as Forças Armadas (FAs) do Brasil compartilhar, de forma automatizada, informações de operações militares cujos conteúdos e estruturas sejam previamente definidos. Para isso, o modelo utiliza-se de composições dinâmicas de serviços Web descritos semanticamente com base em uma ontologia de referência definida, mantida, atualizada, expandida e gerenciada pelas Comunidades de Interesse (Communities of Interest - COIs), distribuídas de acordo com as suas áreas de conhecimento. Um estudo de caso foi realizado com o objetivo de avaliar a aplicação da proposta de solução com a utilização do pacote de distribuição do Joint C3 Information Exchange Data Model (JC3IEDM), modelo de C2 utilizado pela países membros da OTAN (Organização do Tratado do Atlântico Norte). Implementação de um protótipo do modelo e a realização de experimentos indicam potencial de uso prático da proposta.

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