Matching Items (18)
Description

As a result of the increase of pollution related to industrialization in Vietnam, acid rain has become a prevalent issue for Vietnamese farmers who are forced to rinse their crops – risking damage due to overwatering and poor harvest. Thus, the team was motivated to develop a solution to harmful

As a result of the increase of pollution related to industrialization in Vietnam, acid rain has become a prevalent issue for Vietnamese farmers who are forced to rinse their crops – risking damage due to overwatering and poor harvest. Thus, the team was motivated to develop a solution to harmful impacts of acidic rainwater by creating a system with the ability to capture rainwater and determine its level of acidity in order to optimize the crop watering process, and promote productive crops. By conducting preliminary research on rainfall and tropical climate in Vietnam, existing products on the market, and pH sensors for monitoring and device material, the team was able to design a number of devices to collect, store, and measure the pH of rainwater. After developing a number of initial design requirements based on the needs of the farmers, a final prototype was developed using the best aspects of each initial design. Tests were conducted with varying structural and aqueous materials to represent a broad range of environmental conditions. While the scope of the project was ultimately limited to prototyping purposes, the principles explored throughout this thesis project can successfully be applied to a fully-functioning production model available for commercial use on Vietnamese farms. Given more time for development, improvements would be made in the extent of materials tested, and the configuration of electronics and data acquisition, in order to further optimize the process of determining rainwater acidity.

ContributorsMasterson, William (Author) / Borrel, Henri (Co-author) / Vargas, Vianney (Co-author) / Sweis, Hannah (Co-author) / Schoepf, Jared (Thesis director) / Grewal, Anoop (Committee member) / Barrett, The Honors College (Contributor) / Mechanical and Aerospace Engineering Program (Contributor)
Created2023-05
Description

As a result of the increase of pollution related to industrialization in Vietnam, acid rain has become a prevalent issue for Vietnamese farmers who are forced to rinse their crops – risking damage due to overwatering and poor harvest. Thus, the team was motivated to develop a solution to harmful

As a result of the increase of pollution related to industrialization in Vietnam, acid rain has become a prevalent issue for Vietnamese farmers who are forced to rinse their crops – risking damage due to overwatering and poor harvest. Thus, the team was motivated to develop a solution to harmful impacts of acidic rainwater by creating a system with the ability to capture rainwater and determine its level of acidity in order to optimize the crop watering process, and promote productive crops. By conducting preliminary research on rainfall and tropical climate in Vietnam, existing products on the market, and pH sensors for monitoring and device material, the team was able to design a number of devices to collect, store, and measure the pH of rainwater. After developing a number of initial design requirements based on the needs of the farmers, a final prototype was developed using the best aspects of each initial design. Tests were conducted with varying structural and aqueous materials to represent a broad range of environmental conditions. While the scope of the project was ultimately limited to prototyping purposes, the principles explored throughout this thesis project can successfully be applied to a fully-functioning production model available for commercial use on Vietnamese farms. Given more time for development, improvements would be made in the extent of materials tested, and the configuration of electronics and data acquisition, in order to further optimize the process of determining rainwater acidity.

ContributorsRuiz Vargas, Vianney (Author) / Borrel, Henri (Co-author) / Masterson, William (Co-author) / Sweis, Hannah (Co-author) / Schoepf, Jared (Thesis director) / Grewal, Anoop (Committee member) / Barrett, The Honors College (Contributor) / Mechanical and Aerospace Engineering Program (Contributor) / School of International Letters and Cultures (Contributor)
Created2023-05
Description

In the present study, I will focus on several aspects of parenting (monitoring, structure, positive parenting, harsh discipline) and the relations with social competence. The larger study, on which this paper is based, was intended to study multiple types of parenting behaviors and social competencies, and development of measures was

In the present study, I will focus on several aspects of parenting (monitoring, structure, positive parenting, harsh discipline) and the relations with social competence. The larger study, on which this paper is based, was intended to study multiple types of parenting behaviors and social competencies, and development of measures was culturally and developmentally informed (including focus groups and pilot collection). However, utilizing each dimension that emerged from analyses of the parenting behaviors and social competence measures would result in a study with too large a scope. I will include each aspect of parenting that emerged in analyses. However, I will focus on just one of the two factors of social competence that emerged in analyses for adolescents. This first factor includes prosocial behavior (helping and sharing; Eisenberg et al., 2006) and also is composed of general social competence items capturing adolescents’ use of manners and politeness. For the purposes of this paper, I will refer to this first factor as “social competence,” and I will draw on the general social competence literature and prosocial behavior literature.

ContributorsMahajan, Ananyaa (Author) / Eggum, Natalie (Thesis director) / Spinrad, Tracy (Committee member) / Barrett, The Honors College (Contributor) / Department of Psychology (Contributor) / Sanford School of Social and Family Dynamics (Contributor)
Created2023-05
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Description
Testing and verification is an essential procedure to assert a system adheres to some notion of safety. To validate such assertions, monitoring has provided an effective solution to verifying the conformance of complex systems against a set of properties describing what constitutes safe behavior. In authoring such properties, Temporal Logic

Testing and verification is an essential procedure to assert a system adheres to some notion of safety. To validate such assertions, monitoring has provided an effective solution to verifying the conformance of complex systems against a set of properties describing what constitutes safe behavior. In authoring such properties, Temporal Logic (TL) has become a widely adopted specification language in many monitoring applications because of its ability to formally capture time-critical behaviors of reactive systems. This broad acceptance into the verification community and others, however, has naturally led to a lack of TL-based requirement elicitation standards as well as increased friction in tool interoperability. In this thesis, I propose a standardization of TL-based requirement languages through the development of a Formal Requirements Toolkit (FoRek): a modular, extensible, and maintainable collection of TL parsers, translators, and interfaces. To this end, six propositional TL languages are supported in addition to their appropriate past-time variants to provide a framework for a variety of applications using TL as a specification language. Furthermore, improvements to the Pythonic Formal Requirements Language (PyFoReL) tool are performed in addition to a formal definition on the structure of a PyFoReL program. And lastly, to demonstrate the results of this work, FoRek is integrated into an offline monitor to showcase its intended use and potential applications into other domains.
ContributorsAnderson, Jacob W (Author) / Fainekos, Georgios GF (Thesis advisor) / Pedrielli, Giulia GP (Thesis advisor) / Xu, Zhe ZX (Committee member) / Arizona State University (Publisher)
Created2023
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Description
Microbial Potentiometric Sensors (MPS) utilize endemic biofilms to generate a signal using a measurable potentiometric difference, without the use of cleaning, maintenance, and reagents of conventional sensor monitoring methods. These advantages are suitable for monitoring bioreactions in water distribution systems, soils, and wastewater treatment. In controlled fermentation processes, monitoring seeks

Microbial Potentiometric Sensors (MPS) utilize endemic biofilms to generate a signal using a measurable potentiometric difference, without the use of cleaning, maintenance, and reagents of conventional sensor monitoring methods. These advantages are suitable for monitoring bioreactions in water distribution systems, soils, and wastewater treatment. In controlled fermentation processes, monitoring seeks to avoid contamination and degradation, which results in loss of productivity. MPS have yet to be applied to monitor the fermentation of milk to yogurt. This study examined the feasibility of using MPS technology to monitor the progress of milk fermentation in real-time with a bench-scale model bioreactor. Signal data obtained by the MPS was analyzed and assessed for the ability to model and predict the time of complete fermentation. Analysis of complete fermentation times in conjunction with pH and MPS signal values found characteristics indicative of complete fermentation. The method detection limit was assessed to inform of the method’s capacity to distinguish complete fermentation time. A sensitivity analysis was conducted to develop a more robust method for predicting complete fermentation time. At this proof-of-concept scale, MPS successfully performed in this capacity to monitor bioreaction conditions continuously. MPS captured information as fermentation progressed, was completed, and as the yogurt product naturally began to decay. Analysis of the data obtained with the technology found predictions of complete fermentation time within a two hour range, with further assessment in the sensitivity analysis narrowing this timeframe to less than 45 minutes. This study revealed the challenges in precisely predicting complete fermentation;however, advancement of a robust analytical method and demonstration of technical feasibility promotes further MPS technology applications that seek to monitor conditions in real-time to preserve health and production.
ContributorsDieter, Lucien Andres (Author) / Hristovski, Kirl D. (Thesis advisor) / Olson, Larry W. (Committee member) / Ünver, Olcay (Committee member) / Arizona State University (Publisher)
Created2021
Description
Girard Training Stables is a horse-based nonprofit organization that offers riding lessons, mental health support, and physical therapy. A scheduling tool was recently built for them to assist in managing as many as 90 volunteers across many different events. Our goal was to add observability to this scheduling tool, as

Girard Training Stables is a horse-based nonprofit organization that offers riding lessons, mental health support, and physical therapy. A scheduling tool was recently built for them to assist in managing as many as 90 volunteers across many different events. Our goal was to add observability to this scheduling tool, as being able to better observe the tool’s internal state would make fixing any problems easier. To add this observability we added both frontend and backend monitoring to track metrics such as how many users sign up for new accounts, when users start and finish creating an event, how much the server running the website is using its resources, and how many errors are caught while the server is running. Using these metrics, we were able to gain much insight into the internal state of the website and its users. We found that the frontend metrics were useful to non-technical users, with 70% of the users surveyed being able to correctly understand the data generated and theorize about parts of the website UI that could be improved based on said data. We were also able to correctly catch and log 100% of the test errors that were generated, and send alerts to administrators if these errors led to system failure. Overall, we were able to significantly improve the observability of the Girard Training Stables scheduling tool by adding monitoring, making it more robust, scalable, and easy to improve for the future.
ContributorsMoore, Peter (Author) / Ross, Michael (Co-author) / Chavez, Helen (Thesis director) / Vannoni, Greg (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2022-12
Description
Girard Training Stables is a horse-based nonprofit organization that offers riding lessons, mental health support, and physical therapy. A scheduling tool was recently built for them to assist in managing as many as 90 volunteers across many different events. Our goal was to add observability to this scheduling tool, as

Girard Training Stables is a horse-based nonprofit organization that offers riding lessons, mental health support, and physical therapy. A scheduling tool was recently built for them to assist in managing as many as 90 volunteers across many different events. Our goal was to add observability to this scheduling tool, as being able to better observe the tool’s internal state would make fixing any problems easier. To add this observability we added both frontend and backend monitoring to track metrics such as how many users sign up for new accounts, when users start and finish creating an event, how much the server running the website is using its resources, and how many errors are caught while the server is running. Using these metrics, we were able to gain much insight into the internal state of the website and its users. We found that the frontend metrics were useful to non-technical users, with 70% of the users surveyed being able to correctly understand the data generated and theorize about parts of the website UI that could be improved based on said data. We were also able to correctly catch and log 100% of the test errors that were generated, and send alerts to administrators if these errors led to system failure. Overall, we were able to significantly improve the observability of the Girard Training Stables scheduling tool by adding monitoring, making it more robust, scalable, and easy to improve for the future.
ContributorsRoss, Michael (Author) / Moore, Peter (Co-author) / Chavez, Helen (Thesis director) / Vannoni , Greg (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2022-12
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Description
Two-sided online platforms are typically plagued by hidden information (adverse selection) and hidden actions (moral hazard), limiting market efficiency. Under the context of the increasingly popular online labor contracting platforms, this dissertation investigates whether and how IT-enabled monitoring systems can mitigate moral hazard and reshape the labor demand and supply

Two-sided online platforms are typically plagued by hidden information (adverse selection) and hidden actions (moral hazard), limiting market efficiency. Under the context of the increasingly popular online labor contracting platforms, this dissertation investigates whether and how IT-enabled monitoring systems can mitigate moral hazard and reshape the labor demand and supply by providing detailed information about workers’ effort. In the first chapter, I propose and demonstrate that monitoring records can substitute for reputation signals such that they attract more qualified inexperienced workers to enter the marketplace. Specifically, only the effort-related reputation information is substituted by monitoring but the capability-related reputation information. In line with this, monitoring can lower the entry barrier for inexperienced workers on platforms. In the second chapter, I investigate if there is home bias for local workers when employers make the hiring decisions. I further show the existence of home bias from employers and it is primarily driven by statistical inference instead of personal “taste”. In the last chapter, I examine if females tend to have a stronger avoidance of monitoring than males. With the combination of the observational data and experimental data, I find that there is a gender difference in avoidance of monitoring and the introduction of the monitoring system increases the gender wage gap due to genders differences in such willingness-to-pay for the avoidance of monitoring. These three studies jointly contribute to the literature on the online platforms, gig economy and agency theory by elucidating the critical role of IT-enabled monitoring.
ContributorsLiang, Chen, Ph.D (Author) / Gu, Bin (Thesis advisor) / Hong, Yili (Thesis advisor) / Chen, Peiyu (Committee member) / Arizona State University (Publisher)
Created2019