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Artificial Intelligence and Robotics
Engineering Management & Systems Engineering Faculty Publications
- Keyword
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- Agent-based model (1)
- Computer vision (1)
- Cooperative game theory (1)
- Data models (1)
- GAN (1)
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- Generative adversarial networks (1)
- Human subject experiment (1)
- Hybrid simulation (1)
- Image resolution (1)
- Image segmentation (1)
- Military computing (1)
- Military vehicles (1)
- Naval engineering computing (1)
- Neural nets (1)
- Pix2Pix GAN (1)
- Ship deck segmentation (1)
- Ships (1)
- Strategic behavior (1)
- Superresolution (1)
- Three-dimensional displays (1)
- Training (1)
- Training data (1)
Articles 1 - 2 of 2
Full-Text Articles in Computer Engineering
Human Characteristics Impact On Strategic Decisions In A Human-In-The-Loop Simulation, Andrew J. Collins, Shieda Etemadidavan
Human Characteristics Impact On Strategic Decisions In A Human-In-The-Loop Simulation, Andrew J. Collins, Shieda Etemadidavan
Engineering Management & Systems Engineering Faculty Publications
In this paper, a hybrid simulation model of the agent-based model and cooperative game theory is used in a human-in-the-loop experiment to study the effect of human demographic characteristics in situations where they make strategic coalition decisions. Agent-based modeling (ABM) is a computational method that can reveal emergent phenomenon from interactions between agents in an environment. It has been suggested in organizational psychology that ABM could model human behavior more holistically than other modeling methods. Cooperative game theory is a method that models strategic coalitions formation. Three characteristics (age, education, and gender) were considered in the experiment to see if …
Ship Deck Segmentation In Engineering Document Using Generative Adversarial Networks, Mohammad Shahab Uddin, Raphael Pamie-George, Daron Wilkins, Andres Sousa Poza, Mustafa Canan, Samuel Kovacic, Jiang Li
Ship Deck Segmentation In Engineering Document Using Generative Adversarial Networks, Mohammad Shahab Uddin, Raphael Pamie-George, Daron Wilkins, Andres Sousa Poza, Mustafa Canan, Samuel Kovacic, Jiang Li
Engineering Management & Systems Engineering Faculty Publications
Generative adversarial networks (GANs) have become very popular in recent years. GANs have proved to be successful in different computer vision tasks including image-translation, image super-resolution etc. In this paper, we have used GAN models for ship deck segmentation. We have used 2D scanned raster images of ship decks provided by US Navy Military Sealift Command (MSC) to extract necessary information including ship walls, objects etc. Our segmentation results will be helpful to get vector and 3D image of a ship that can be later used for maintenance of the ship. We applied the trained models to engineering documents provided …