Master Thesis
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For future interplanetary space missions, there is a need for an autonomous system that prevents astronauts from potentially hazardous situations. One way in which such a system can help the astronauts, is by predicting their performance. This thesis presents the construction of such a system based on Cognitive task load (CTL) and Emotional state (ES) using Bayesian networks. The network is trained and tested with four different datasets. The first two datasets concern CTL and performance of naval operators working with an adaptive user interface in a lab-setting and naval operators working on a high-tech sailing ship. Especially the ship dataset generalizes very good. The third dataset concerns the ES and performance of participants that are playing a multiplayer first-person shooter game. The last dataset concerns CTL, ES and performance of participants during a three user learning task. The best networks provided respectively a performance estimation of 84.8%, 74.2%, 60.8% and 67.0% while the chance level was 50%. These results indicate that this approach is prommising. Further research is needed to increase the performance such that the method can be used during training and real missions.
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3) Open problems remain in developing optimal predictive policies with partial information and approximations, to continue improving search and reasoning performance.
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Big Sky Earth 2018 Introduction to machine learning
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QuestionPro Integrates with TryMyUI to Launch the Survey Respondent Score
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DefenseTalk_Trimmed
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Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
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Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
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