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Description
Flow measurement has always been one of the most critical processes in many industrial and clinical applications. The dynamic behavior of flow helps to define the state of a process. An industrial example would be that in an aircraft, where the rate of airflow passing the aircraft is used to determine the speed of the plane. A clinical example would be that the flow of a patient's breath which could help determine the state of the patient's lungs. This project is focused on the flow-meter that are used for airflow measurement in human lungs. In order to do these measurements, resistive-type flow-meters are commonly used in respiratory measurement systems. This method consists of passing the respiratory flow through a fluid resistive component, while measuring the resulting pressure drop, which is linearly related to volumetric flow rate. These types of flow-meters typically have a low frequency response but are adequate for most applications, including spirometry and respiration monitoring. In the case of lung parameter estimation methods, such as the Quick Obstruction Method, it becomes important to have a higher frequency response in the flow-meter so that the high frequency components in the flow are measurable. The following three types of flow-meters were: a. Capillary type b. Screen Pneumotach type c. Square Edge orifice type To measure the frequency response, a sinusoidal flow is generated with a small speaker and passed through the flow-meter that is connected to a large, rigid container. True flow is proportional to the derivative of the pressure inside the container. True flow is then compared with the measured flow, which is proportional to the pressure drop across the flow-meter. In order to do the characterization, two LabVIEW data acquisition programs have been developed, one for transducer calibration, and another one that records flow and pressure data for frequency response testing of the flow-meter. In addition, a model that explains the behavior exhibited by the flow-meter has been proposed and simulated. This model contains a fluid resistor and inductor in series. The final step in this project was to approximate the frequency response data to the developed model expressed as a transfer function.
ContributorsHu, Jianchen (Author) / Macia, Narciso (Thesis advisor) / Pollat, Scott (Committee member) / Rogers, Bradley (Committee member) / Arizona State University (Publisher)
Created2013
Description
The prospect of anti-aging or life extension technology is controversial in biogerentology but deemed even by skeptical experts to warrant discussion. I discuss the justifications that the probability of life extension technology being developed in the near future is reasonably high and that this research justifies the time and money it receives. I investigate potential ethical and societal issues anti-aging technology might create. This paper addresses inequality of access, economic cost, changes in quality of life, the role of death in human life, if and how the technology should be regulated and how parties who choose not to undergo treatment can be fairly treated, even when they are a minority.
ContributorsGlesener, Julia Hannah (Author) / McGregor, Joan (Thesis director) / DeSerpa, Allan (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Chemistry and Biochemistry (Contributor) / School of Historical, Philosophical and Religious Studies (Contributor)
Created2015-05
Description
Many tasks that humans do from day to day are taken for granted in term of appreciating their true complexity. Humans are the only species on the planet that have developed such an in-depth means of auditory communication. Recreating the mechanisms in the brain that recognize speech patterns is no easy task. This paper compares and contrasts various algorithms used in modern day ASR systems, and focuses primarily on ASR systems in resource constrained environments. The Green colored blocks in Figure 1 will be focused on in greater detail throughout this paper, they are the key to building an exceptional ASR system. Deep Neural Networks (DNNs) are the clear and current leader among ASR technologies; all research in this field is currently revolving around this method. Although DNNs are very effective, many older methods of ASR are used often due to the complexities involved with DNNs; these difficulties include the large amount of hardware resources as well as development resources, such as engineers and money, required for this method.
ContributorsPetersen, Casey Alexander (Author) / Csavina, Kristine (Thesis director) / Pollat, Scott (Committee member) / Engineering Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2015-12
Description
For many years, the countries of Sub-Saharan Africa, like many other unindustrialized nations, followed the internally-oriented import substitution policies developed by theoreticians like Raul Prebisch. These measures were meant to force nations to develop their industrial capabilities in isolation from the rest of the world. However, these policies did little to improve the economy of many emerging countries. It was not until Asian countries switched to externally-oriented strategies that progress was made in their developing economies. In the early 1980s, a "Washington Consensus" was practiced that included a trade provision for the opening of emerging markets. Since then, many Sub-Saharan African nations have implemented policies that have opened up their markets to the rest of the world. However, most of these countries have not realized the benefits typically ascribed to open trade, causing some economists to doubt the economic growth benefits of trade liberalization. This thesis examines the connection between trade liberalization in Sub-Saharan Africa to review the consequences of recent trade reforms on the region's development and to identify some of the factors which contributed to individual countries successfully, or unsuccessfully, implementing trade liberalizing policies. It finds that the relationship between economic growth and trade liberalization is not as important as other growth factors and that there are multiple paths toward economic development.
ContributorsDussik, Jonathan Abraham DeBlock (Author) / DeSerpa, Allan (Thesis director) / Hill, John (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / Department of Economics (Contributor)
Created2014-12
Description
One decision procedure dominates a given one if it performs well on the entire class of problems the given decision procedure performs well on, and then goes on to perform well on other problems that the given decision procedure does badly on. Performing well will be defined as generating higher expected utility before entering a problem. In this paper it will be argued that the timeless decision procedure dominates the causal
and evidential decision procedures. It will also be argued in turn that the updateless decision procedure dominates the timeless decision procedure. The difficulties of formalizing a modern variant of the ”smoking gene” problem will then be briefly examined.
and evidential decision procedures. It will also be argued in turn that the updateless decision procedure dominates the timeless decision procedure. The difficulties of formalizing a modern variant of the ”smoking gene” problem will then be briefly examined.
ContributorsHintze, Daniel Edward (Author) / Armendt, Brad (Thesis director) / Schlee, Edward (Committee member) / DeSerpa, Allan (Committee member) / Barrett, The Honors College (Contributor) / Economics Program in CLAS (Contributor)
Created2014-05
Description
The purpose of this thesis is to examine the current atmosphere of genetic patent law and use economic theory to construct models which describe the consequences of the legal code. I intend to analyze the four specific cases of Diamond v. Chakrabarty, Association for Molecular Pathology v. Myriad Genetics, the Alzheimer's Institute of America v. Jackson Laboratory, and the harm caused by PGx Health's monopoly over the LQTS gene.
ContributorsVolz, Caleb Richard (Author) / DeSerpa, Allan (Thesis director) / Silverman, Daniel (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Chemistry and Biochemistry (Contributor) / Economics Program in CLAS (Contributor)
Created2014-05
Description
Economists, political philosophers, and others have often characterized social preferences regarding inequality by imagining a hypothetical choice of distributions behind "a veil of ignorance". Recent behavioral economics work has shown that subjects care about equality of outcomes, and are willing to sacrifice, in experimental contexts, some amount of personal gain in order to achieve greater equality. We review some of this literature and then conduct an experiment of our own, comparing subjects' choices in two risky situations, one being a choice for a purely individualized lottery for themselves, and the other a choice among possible distributions to members of a randomly selected group. We find that choosing in the group situation makes subjects significantly more risk averse than when choosing an individual lottery. This supports the hypothesis that an additional preference for equality exists alongside ordinary risk aversion, and that in a hypothetical "veil of ignorance" scenario, such preferences may make subjects significantly more averse to unequal distributions of rewards than can be explained by risk aversion alone.
ContributorsTheisen, Alexander Scott (Co-author) / McMullin, Caitlin (Co-author) / Li, Marilyn (Co-author) / DeSerpa, Allan (Thesis director) / Schlee, Edward (Committee member) / Baldwin, Marjorie (Committee member) / Barrett, The Honors College (Contributor) / Department of Economics (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Economics Program in CLAS (Contributor) / School of Historical, Philosophical and Religious Studies (Contributor)
Created2014-05
Description
Entrepreneurs represent the engine for economic change in the nation. By interviewing and studying student entrepreneurs, I could explore the inspiration creating the changes seen in the environment around us and characterize the student entrepreneur. Specifically, by studying the similarities and differences among student entrepreneurs at ASU, I could identify traits that made entrepreneurs unique from each other. After in-depth interviews and surveys, I found that entrepreneurs could be categorized into one of four primary motivations and further distinguished by perceptions of money, responsibility and family environment. At the end of this paper, I conclude that student entrepreneurs can be empowered by the insights taken from this research. With further understanding, the survey may have practical applications to existing ventures and entrepreneurial college students.
ContributorsMcclure, Bethany Lee (Author) / DeSerpa, Allan (Thesis director) / Baldwin, Marjorie (Committee member) / Petroff, Chris (Committee member) / Barrett, The Honors College (Contributor) / Department of Economics (Contributor)
Created2013-05
Description
The U.S. Automobile industry was once the crown jewel of America's industrial empire, nothing symbolized American industrial might like the auto plants of Detroit and the millions of cars it put on the road. However, after a spectacular rise in power and wealth after the Second World War, the Big 3 of the automotive industry, General Motors, Ford and Chrysler, have declined to the point of needing a government bailout to continue operation. This paper examines this decline by examining two narratives that describe its fall, and examines the theoretical and empirical evidence for both stories.
ContributorsHartman, Alexander Ray (Author) / Lagakos, David (Thesis director) / DeSerpa, Allan (Committee member) / Baldwin, Marjorie (Committee member) / Barrett, The Honors College (Contributor) / Department of Economics (Contributor)
Created2013-05
Description
The US steel industry experienced a great decline between 1950-1985. Influenced by several government policies, the industry was first cartelized during the great depression and then subjected to an extremely powerful organized labor force. Due to high demand between and during WWII and the Korean War, the industry expanded capacity using existing technologies. Simultaneously, organized labor was able to secure increased wages and large severance costs for firms that decided to shutdown existing steel mills. In the post war years this prevented firms from innovating through investing in newer, more efficient, technologies. Eventually US steel firms had no advantage against foreign producers who could produce steel cheaper and more efficiently.
ContributorsCole, Andrew Arthur (Author) / Lagakos, David (Thesis director) / DeSerpa, Allan (Committee member) / Dillon, Eleanor (Committee member) / Barrett, The Honors College (Contributor) / Economics Program in CLAS (Contributor)
Created2013-05