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You searched for +publisher:"University of New Hampshire" +contributor:("R D Bergeron"). Showing records 1 – 3 of 3 total matches.

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1. KOZLOV, IGOR V. ANALYSIS OF UNCERTAINTY IN UNDERWATER MULTIVIEW RECONSTRUCTION.

Degree: MS, 2018, University of New Hampshire

Multiview reconstruction, a method for creating 3D models from multiple images from different views, has been a popular topic of research in the eld of computer vision in the last two decades. Increased availability of high-quality cameras led to the development of advanced techniques and algorithms. However, little attention has been paid to multiview reconstruction in underwater conditions. Researchers in a wide variety of elds (e.g. marine biology, archaeology, and geology) could benefit from having 3D models of seafloor and underwater objects. Cameras, designed to operate in air, must be put in protective housings to work underwater. This affects the image formation process. The largest source of underwater image distortion results from refraction of light, which occurs when light rays travel through boundaries between media with different refractive indices. This study addresses methods for accounting for light refraction when using a static rig with multiple cameras. We define a set of procedures to achieve optimal underwater reconstruction results, and we analyze the expected quality of the 3D models' measurements. Advisors/Committee Members: Philip J Hatcher, R D Bergeron, Yuri Rzhanov.

Subjects/Keywords: 3D reconstruction; Image Processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

KOZLOV, I. V. (2018). ANALYSIS OF UNCERTAINTY IN UNDERWATER MULTIVIEW RECONSTRUCTION. (Thesis). University of New Hampshire. Retrieved from https://scholars.unh.edu/thesis/1246

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

KOZLOV, IGOR V. “ANALYSIS OF UNCERTAINTY IN UNDERWATER MULTIVIEW RECONSTRUCTION.” 2018. Thesis, University of New Hampshire. Accessed October 15, 2019. https://scholars.unh.edu/thesis/1246.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

KOZLOV, IGOR V. “ANALYSIS OF UNCERTAINTY IN UNDERWATER MULTIVIEW RECONSTRUCTION.” 2018. Web. 15 Oct 2019.

Vancouver:

KOZLOV IV. ANALYSIS OF UNCERTAINTY IN UNDERWATER MULTIVIEW RECONSTRUCTION. [Internet] [Thesis]. University of New Hampshire; 2018. [cited 2019 Oct 15]. Available from: https://scholars.unh.edu/thesis/1246.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

KOZLOV IV. ANALYSIS OF UNCERTAINTY IN UNDERWATER MULTIVIEW RECONSTRUCTION. [Thesis]. University of New Hampshire; 2018. Available from: https://scholars.unh.edu/thesis/1246

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

2. O'Ceallaigh, Dylan Mischa Diamond. Metareasoning in Real-time Heuristic Search.

Degree: MS, 2014, University of New Hampshire

In real-time heuristic search, a search agent must simultaneously find and execute a solution to a search problem with a strict time bound on the duration between action emissions and thus the duration of search between said emissions. Because these searches are required to emit actions before their desirability can be guaranteed, resulting solutions are typically sub-optimal in regards to total solution cost, but often superior in terms of the time from start of search to arrival at the goal. Metareasoning is the process of deliberating about the search process, including where to focus it and when to do it. Many modern real-time searches optimistically (and somewhat naively) direct the search agent to some state for which the estimated total solution cost appears low at the end of the most recent iteration of search. By employing metareasoning practices, we can hope to replace this optimism with an appropriate amount of skepticism, embracing the already sub-optimal nature of real-time search in such a way that known or expected sub-optimal actions are taken in an effort to direct the agent more effectively in the future. In this thesis we pursue this research direction by presenting and analyzing previous search algorithms and then proposing several metareasoning approaches which show promise in the form of both empirical results and rationalized intuition for minimizing the expected time until arrival at the goal. We evaluate the performance of these approaches thoroughly in order to highlight their strengths and their failings. Finally, we present a number of issues in metareasoning in real-time search which came to light in researching this topic, with the intent of guiding future research along promising avenues. Advisors/Committee Members: Wheeler Ruml, Radim Bartos, R. D. Bergeron.

Subjects/Keywords: Heuristic Search; Identity Actions; Metareasoning; Real-time; Suboptimality; Uncertainty; Statistics; Computer science; Artificial intelligence

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

O'Ceallaigh, D. M. D. (2014). Metareasoning in Real-time Heuristic Search. (Thesis). University of New Hampshire. Retrieved from https://scholars.unh.edu/thesis/998

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

O'Ceallaigh, Dylan Mischa Diamond. “Metareasoning in Real-time Heuristic Search.” 2014. Thesis, University of New Hampshire. Accessed October 15, 2019. https://scholars.unh.edu/thesis/998.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

O'Ceallaigh, Dylan Mischa Diamond. “Metareasoning in Real-time Heuristic Search.” 2014. Web. 15 Oct 2019.

Vancouver:

O'Ceallaigh DMD. Metareasoning in Real-time Heuristic Search. [Internet] [Thesis]. University of New Hampshire; 2014. [cited 2019 Oct 15]. Available from: https://scholars.unh.edu/thesis/998.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

O'Ceallaigh DMD. Metareasoning in Real-time Heuristic Search. [Thesis]. University of New Hampshire; 2014. Available from: https://scholars.unh.edu/thesis/998

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

3. Valcourt, Scott A. THE IDENTIFICATION OF MAJOR FACTORS IN THE DEPLOYMENT OF A SCIENCE DMZ AT SMALL INSTITUTIONS.

Degree: PhD, 2017, University of New Hampshire

The Science DMZ is a network research tool offering superior large science data transmission between two locations. Through a network design that places the Science DMZ at the edge of the campus network, the Science DMZ defines a network path that avoids packet inspecting devices (firewalls, packet shapers) and produces near line-rate transmission results for large data sets between institutions. Small institutions of higher education (public and private small colleges) seeking to participate in data exchange with other institutions are inhibited in the construction of Science DMZs due to the high costs of deployment. While the National Science Foundation made 18 awards in the Campus Cyberinfrastructure program to investigate the designs, methods, costs, and results of deploying Science DMZs at small institutions, there lacks a cohort view of the success factors and options that must be considered in developing the most impactful solution for any given small institution environment. This research examined the decisions and results of the 18 NSF Science DMZ projects, recording a series of major factors in the small institution deployments, and establishing the Science DMZ Capital Framework (SCF), a model to be considered prior to starting a small institution Science DMZ project. Advisors/Committee Members: Radim Bartos, R D Bergeron, Robert D Russell.

Subjects/Keywords: ES.NET; framework; network; Science DMZ; small institutions; Information technology; Computer science; Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Valcourt, S. A. (2017). THE IDENTIFICATION OF MAJOR FACTORS IN THE DEPLOYMENT OF A SCIENCE DMZ AT SMALL INSTITUTIONS. (Doctoral Dissertation). University of New Hampshire. Retrieved from https://scholars.unh.edu/dissertation/2292

Chicago Manual of Style (16th Edition):

Valcourt, Scott A. “THE IDENTIFICATION OF MAJOR FACTORS IN THE DEPLOYMENT OF A SCIENCE DMZ AT SMALL INSTITUTIONS.” 2017. Doctoral Dissertation, University of New Hampshire. Accessed October 15, 2019. https://scholars.unh.edu/dissertation/2292.

MLA Handbook (7th Edition):

Valcourt, Scott A. “THE IDENTIFICATION OF MAJOR FACTORS IN THE DEPLOYMENT OF A SCIENCE DMZ AT SMALL INSTITUTIONS.” 2017. Web. 15 Oct 2019.

Vancouver:

Valcourt SA. THE IDENTIFICATION OF MAJOR FACTORS IN THE DEPLOYMENT OF A SCIENCE DMZ AT SMALL INSTITUTIONS. [Internet] [Doctoral dissertation]. University of New Hampshire; 2017. [cited 2019 Oct 15]. Available from: https://scholars.unh.edu/dissertation/2292.

Council of Science Editors:

Valcourt SA. THE IDENTIFICATION OF MAJOR FACTORS IN THE DEPLOYMENT OF A SCIENCE DMZ AT SMALL INSTITUTIONS. [Doctoral Dissertation]. University of New Hampshire; 2017. Available from: https://scholars.unh.edu/dissertation/2292

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