Matching Items (8)
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- All Subjects: Virtual Reality
- Creators: Economics Program in CLAS
- Resource Type: Text
Description
Catastrophe events occur rather infrequently, but upon their occurrence, can lead to colossal losses for insurance companies. Due to their size and volatility, catastrophe losses are often treated separately from other insurance losses. In fact, many property and casualty insurance companies feature a department or team which focuses solely on modeling catastrophes. Setting reserves for catastrophe losses is difficult due to their unpredictable and often long-tailed nature. Determining loss development factors (LDFs) to estimate the ultimate loss amounts for catastrophe events is one method for setting reserves. In an attempt to aid Company XYZ set more accurate reserves, the research conducted focuses on estimating LDFs for catastrophes which have already occurred and have been settled. Furthermore, the research describes the process used to build a linear model in R to estimate LDFs for Company XYZ's closed catastrophe claims from 2001 \u2014 2016. This linear model was used to predict a catastrophe's LDFs based on the age in weeks of the catastrophe during the first year. Back testing was also performed, as was the comparison between the estimated ultimate losses and actual losses. Future research consideration was proposed.
ContributorsSwoverland, Robert Bo (Author) / Milovanovic, Jelena (Thesis director) / Zicarelli, John (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
In recent years, environment mapping has garnered significant interest in both industrial and academic settings as a viable means of generating comprehensive virtual models of the physical world. These maps are created using simultaneous localization and mapping (SLAM) algorithms that combine depth contours with visual imaging information to create rich, layered point clouds. Given the recent advances in virtual reality technology, these generated point clouds can be imported onto the Oculus Rift or similar headset for virtual reality implementation. This project deals with the robotic implementation of RGB-D SLAM algorithms on mobile ground robots to generate complete point clouds that can be processed off-line and imported into virtual reality engines for viewing in the Oculus Rift. This project uses a ground robot along with a Kinect sensor to collect RGB-D data of the surrounding environment to build point cloud maps using SLAM software. These point clouds are then exported as object or polygon files for post-processing in software engines such as Meshlab or Unity. The point clouds generated from the SLAM software can be viewed in the Oculus Rift as is. However, these maps are mainly empty space and can be further optimized for virtual viewing. Additional techniques such as meshing and texture meshing were implemented on the raw point cloud maps and tested on the Oculus Rift. The aim of this project was to increase the potential applications for virtual reality by taking a robotic mapping approach to virtual reality environment development. This project was successful in achieving its objective. The following report details the processes used in developing a remotely-controlled robotic platform that can scan its environment and generate viable point cloud maps. These maps are then processed off line and ported into virtual reality software for viewing through the Oculus Rift.
ContributorsUdupa, Shreya (Author) / Artemiadis, Panagiotis (Thesis director) / Chickamenahalli, Shamala (Committee member) / Mechanical and Aerospace Engineering Program (Contributor) / Economics Program in CLAS (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
In this experiment, a haptic glove with vibratory motors on the fingertips was tested against the standard HTC Vive controller to see if the additional vibrations provided by the glove increased immersion in common gaming scenarios where haptic feedback is provided. Specifically, two scenarios were developed: an explosion scene containing a small and large explosion and a box interaction scene that allowed the participants to touch the box virtually with their hand. At the start of this project, it was hypothesized that the haptic glove would have a significant positive impact in at least one of these scenarios. Nine participants took place in the study and immersion was measured through a post-experiment questionnaire. Statistical analysis on the results showed that the haptic glove did have a significant impact on immersion in the box interaction scene, but not in the explosion scene. In the end, I conclude that since this haptic glove does not significantly increase immersion across all scenarios when compared to the standard Vive controller, it should not be used at a replacement in its current state.
ContributorsGriffieth, Alan P (Author) / McDaniel, Troy (Thesis director) / Selgrad, Justin (Committee member) / Computing and Informatics Program (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Economics Program in CLAS (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
This project is called the Zoom Room and it is about the use of virtual reality (VR) for workspace productivity. It is where Zoom and VR meet to form an enhanced productive workspace for users. Equipped with two 3D printers that show how a 3D printer moves and the intricate parts that make up the 3D printer, it is much more than just a standard meeting room. It is a place to analyze machines and meet with others in a virtual space.
ContributorsWang, David (Author) / Johnson-Glenberg, Mina (Thesis director) / Surovec, Victor (Committee member) / Barrett, The Honors College (Contributor) / Economics Program in CLAS (Contributor) / Computer Science and Engineering Program (Contributor)
Created2023-05
Description
AARP estimates that 90% of seniors wish to remain in their homes during retirement. Seniors need assistance as they age, historically they have received assistance from either family members, nursing homes, or Continuing Care Retirement Communities. For seniors not wanting any of these options, there has been very few alternatives. Now, the emergence of the continuing care at home program is providing hope for a different method of elder care moving forward. CCaH programs offer services such as: skilled nursing care, care coordination, emergency response systems, aid with personal and health care, and transportation. Such services allow seniors to continue to live in their own home with assistance as their health deteriorates over time. Currently, only 30 CCaH programs exist. With the growth of the elderly population in the coming years, this model seems poised for growth.
ContributorsSturm, Brendan (Author) / Milovanovic, Jelena (Thesis director) / Hassett, Matthew (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Economics Program in CLAS (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
The fight for climate justice has been ongoing for decades. However, in a recent effort to address climate change, U.S. congressional leaders Alexandria Ocasio-Cortez of New York and Edward J. Markey of Massachusetts proposed a resolution known as the Green New Deal (GND). Though congress defeated the proposal, the policy changes envisioned within it have gained political momentum from states and municipalities. So much so, municipalities in the United States have decided to implement their own versions of the GND proposal. Throughout this paper, I analyze the components of three nationally recognized climate proposals that offer a unique approach to actualize the federal GND objectives: New York City's Climate Mobilization Act, Los Angeles's Green New Deal – Sustainable City pLAn, and Seattle's Green New Deal. From these proposals, I draw comparisons to Tempe's Climate Action plan to evaluate their efforts. Though this paper is primarily focused on analyzing the components of municipal GNDs across the nation, this paper also contends that municipalities' are a necessary complement to national efforts in mitigating climate change.
ContributorsMazariegos, Ashley (Author) / Fong, Benjamin Y. (Thesis director) / Calhoun, Craig (Committee member) / Economics Program in CLAS (Contributor) / School of Public Affairs (Contributor) / Barrett, The Honors College (Contributor)
Created2020-12
Description
Greenhouse gas emissions (GHG) continue to contribute heavily to global warming. It is estimated that the international community has only until 2050 to eliminate total carbon emissions or risk irreversible climate change. Arizona, despite its vast solar energy resources, is particularly behind in the global transition to carbon-free energy. This paper looks to explore issues that may be preventing Arizona from an efficient transition to carbon-free generation technologies. Identifiable factors include outdated state energy generation standards, lack of oversight and accountability of Arizona’s electricity industry regulatory body, and the ability for regulated utilities to take advantage of “dark money” campaign contributions. Various recommendations for mitigating the factors preventing Arizona from a carbon-free future are presented. Possibilities such as modernizing state energy generation standards, increasing oversight and accountability of Arizona’s electricity industry regulatory body, and potential market restructuring which would do away with the traditional regulated utility framework are explored. The goal is to inform readers of the issues plaguing the Arizona energy industry and recommend potential solutions moving forward.
ContributorsWaller, Troy (Author) / Sheriff, Glenn (Thesis director) / Rule, Troy (Committee member) / Economics Program in CLAS (Contributor) / Dean, W.P. Carey School of Business (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2020-12
Description
A factor accounting for the COVID-19 pandemic was added to a generalized linear model to more accurately predict unpaid claims. COVID-19 has affected not just healthcare, but all sectors of the economy. Because of this, whether or not an automobile insurance claim is filed during the pandemic needs to be taken into account while estimating unpaid claims. Reserve-estimating functions such as glmReserve from the “ChainLadder” package in the statistical software R were experimented with to produce their own results. Because of their insufficiency, a manual approach to building the model turned out to be the most proficient method. Utilizing the GLM function, a model was built that emulated linear regression with a factor for COVID-19. The effects of such a model are analyzed based on effectiveness and interpretablility. A model such as this would prove useful for future calculations, especially as society is now returning to a “normal” state.
ContributorsKossler, Patrick (Author) / Zicarelli, John (Thesis director) / Milovanovic, Jelena (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2022-05