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Data Farming Around the World Overview - Cornwallis Group

Data Farming Around the World Overview - Cornwallis Group

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280 THE CORNWALLIS GROUP XIV: ANALYSIS FOR SOCIETAL CONFLICT AND COUNTER-INSURGENCYIn several data farming experiments <strong>the</strong> different sensors' validity was checked. To easethings, <strong>the</strong> scenario described above was fur<strong>the</strong>r simplified (see Figure 8).In our scenario, <strong>the</strong> team examined <strong>the</strong> sensor's performance for different approachcorridors for <strong>the</strong> hostile micro-light plane. By doing so, <strong>the</strong> team could analyse <strong>the</strong> effect ofdifferent terrain features.Figure 8: Simplified base case scenario.<strong>Data</strong> <strong>Farming</strong> ExperimentsAfter some preliminary experiments and looking at single simulation runs to get familiar with<strong>the</strong> model and its user interfaces, three different data farming experiments were performed.In <strong>the</strong> first experiment we distinguished between day and night, thus varying <strong>the</strong>parameters for <strong>the</strong> luminance and <strong>the</strong> temperatures of <strong>the</strong> target object and <strong>the</strong> background.In <strong>the</strong> second experiment <strong>the</strong> team had a look at different levels of attenuation. Thusrepresenting <strong>the</strong> whole bandwidth from excellent to very bad wea<strong>the</strong>r conditions, that is fromclear sky to dense fog.Finally, <strong>the</strong> team was convinced <strong>the</strong>mselves that <strong>the</strong> detailed physical ABSEM sensordelivers more realistic perception probabilities than a simple, purely probability based sensor.In a third experiment <strong>the</strong> team decided to equip <strong>the</strong> observer ei<strong>the</strong>r with a detailed opticalsensor or with a very simple and abstract sensor (comparable to <strong>the</strong> one implemented inMANA).

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