Search for dissertations about: "Situation recognition"
Showing result 1 - 5 of 81 swedish dissertations containing the words Situation recognition.
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1. Petri nets for situation recognition
Abstract : Situation recognition is a process with the goal of identifying a priori defined situations in a flow of data and information. The purpose is to aid decision makers with focusing on relevant information by filtering out situations of interest. READ MORE
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2. Complex activity recognition and context validation within social interaction tools
Abstract : Human activity recognition using sensing technology is crucial in achieving pervasive and ubiquitous computing paradigms. It can be applied in many domains such as health-care, aged-care, personal-informatics, industry, sports and military. READ MORE
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3. Knowledge representation and stocastic multi-agent plan recognition
Abstract : To incorporate new technical advances into military domain and make those processes more efficient in accuracy, time and cost, a new concept of Network Centric Warfare has been introduced in the US military forces. In Sweden a similar concept has been studied under the name Network Based Defence (NBD). READ MORE
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4. Peptidoglycan recognition proteins in Drosophila melanogaster
Abstract : The fruit fly Drosophila melanogaster is an excellent model organism to study the innate immune response, because insects and mammals share conserved features regarding the recognition and destruction of microorganisms and Drosophila is easily accessible to genetic manipulation. In my present study, I identified a new family of pattern recognition molecules for bacterial peptidoglycan in Drosophila, the Peptidoglycan Recognition Proteins (PGRP). READ MORE
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5. Cognition Rehearsed : Recognition and Reproduction of Demonstrated Behavior
Abstract : The work presented in this dissertation investigates techniques for robot Learning from Demonstration (LFD). LFD is a well established approach where the robot is to learn from a set of demonstrations. The dissertation focuses on LFD where a human teacher demonstrates a behavior by controlling the robot via teleoperation. READ MORE