Matching Items (18)
Description
Nonregular screening designs can be an economical alternative to traditional resolution IV 2^(k-p) fractional factorials. Recently 16-run nonregular designs, referred to as no-confounding designs, were introduced in the literature. These designs have the property that no pair of main effect (ME) and two-factor interaction (2FI) estimates are completely confounded. In this dissertation, orthogonal arrays were evaluated with many popular design-ranking criteria in order to identify optimal 20-run and 24-run no-confounding designs. Monte Carlo simulation was used to empirically assess the model fitting effectiveness of the recommended no-confounding designs. The results of the simulation demonstrated that these new designs, particularly the 24-run designs, are successful at detecting active effects over 95% of the time given sufficient model effect sparsity. The final chapter presents a screening design selection methodology, based on decision trees, to aid in the selection of a screening design from a list of published options. The methodology determines which of a candidate set of screening designs has the lowest expected experimental cost.
ContributorsStone, Brian (Author) / Montgomery, Douglas C. (Thesis advisor) / Silvestrini, Rachel T. (Committee member) / Fowler, John W (Committee member) / Borror, Connie M. (Committee member) / Arizona State University (Publisher)
Created2013
Description
Droughts are a common phenomenon of the arid South-west USA climate. Despite water limitations, the region has been substantially transformed by agriculture and urbanization. The water requirements to support these human activities along with the projected increase in droughts intensity and frequency challenge long term sustainability and water security, thus the need to spatially and temporally characterize land use/land cover response to drought and quantify water consumption is crucial. This dissertation evaluates changes in `undisturbed' desert vegetation in response to water availability to characterize climate-driven variability. A new model coupling phenology and spectral unmixing was applied to Landsat time series (1987-2010) in order to derive fractional cover (FC) maps of annuals, perennials, and evergreen vegetation. Results show that annuals FC is controlled by short term water availability and antecedent soil moisture. Perennials FC follow wet-dry multi-year regime shifts, while evergreen is completely decoupled from short term changes in water availability. Trend analysis suggests that different processes operate at the local scale. Regionally, evergreen cover increased while perennials and annuals cover decreased. Subsequently, urban land cover was compared with its surrounding desert. A distinct signal of rain use efficiency and aridity index was documented from remote sensing and a soil-water-balance model. It was estimated that a total of 295 mm of water input is needed to sustain current greenness. Finally, an energy balance model was developed to spatio-temporally estimate evapotranspiration (ET) as a proxy for water consumption, and evaluate land use/land cover types in response to drought. Agricultural fields show an average ET of 9.3 mm/day with no significant difference between drought and wet conditions, implying similar level of water usage regardless of climatic conditions. Xeric neighborhoods show significant variability between dry and wet conditions, while mesic neighborhoods retain high ET of 400-500 mm during drought due to irrigation. Considering the potentially limited water availability, land use/land cover changes due to population increases, and the threat of a warming and drying climate, maintaining large water-consuming, irrigated landscapes challenges sustainable practices of water conservation and the need to provide amenities of this desert area for enhancing quality of life.
ContributorsKaplan, Shai (Author) / Myint, Soe Win (Thesis advisor) / Brazel, Anthony J. (Committee member) / Georgescu, Matei (Committee member) / Arizona State University (Publisher)
Created2014
Description
Within the vast area of study in Organizational Change lays the industrial application of Change Management, which includes the understanding of both resisters and facilitators to organizational change. This dissertation presents an approach of gauging levels of change as it relates to both external and internal organization factors. The arena of such a test is given through the introduction of the same initiative change model, which attempts to improve transparency and accountability, across six different organizations where the varying results of change are measured. The change model itself consists of an interdisciplinary approach which emphasizes education of advanced organizational measurement techniques as fundamental drivers of converging change. The observations are documented in the real-time observed cased studies of six organizations as they progressed through the change process. This research also introduces a scaled metric for determining preliminary levels of change and endeavors to test both internal and external, or environmental, factors of change. A key contribution to the work is the analysis between both observed and surveyed data where a grounded theory analysis is used to help answer the question of what are factors of change in organizations. This work is considered to be foundational in real-time observational studies but has a promise for future additional contributions which would further elaborate on the phenomenon of prescribed organizational change.
ContributorsStone, Brian (Author) / Sullivan, Kenneth T. (Thesis advisor) / Verdini, William (Committee member) / Badger, William (Committee member) / Arizona State University (Publisher)
Created2012
Description
Context:
With rapidly expanding urban regions, the effects of land cover changes on urban surface temperatures and the consequences of these changes for human health are becoming progressively larger problems.
Objectives:
We investigated residential parcel and neighborhood scale variations in urban land surface temperature, land cover, and residents’ perceptions of landscapes and heat illnesses in the subtropical desert city of Phoenix, AZ USA.
Methods:
We conducted an airborne imaging campaign that acquired high resolution urban land surface temperature data (7 m/pixel) during the day and night. We performed a geographic overlay of these data with high resolution land cover maps, parcel boundaries, neighborhood boundaries, and a household survey.
Results:
Land cover composition, including percentages of vegetated, building, and road areas, and values for NDVI, and albedo, was correlated with residential parcel surface temperatures and the effects differed between day and night. Vegetation was more effective at cooling hotter neighborhoods. We found consistencies between heat risk factors in neighborhood environments and residents’ perceptions of these factors. Symptoms of heat-related illness were correlated with parcel scale surface temperature patterns during the daytime but no corresponding relationship was observed with nighttime surface temperatures.
Conclusions:
Residents’ experiences of heat vulnerability were related to the daytime land surface thermal environment, which is influenced by micro-scale variation in land cover composition. These results provide a first look at parcel-scale causes and consequences of urban surface temperature variation and provide a critically needed perspective on heat vulnerability assessment studies conducted at much coarser scales.
ContributorsJenerette, Darrel G. (Author) / Harlan, Sharon L. (Author) / Buyantuev, Alexander (Author) / Stefanov, William L. (Author) / Declet-Barreto, Juan (Author) / Ruddel, Benjamin L. (Author) / Myint, Soe Win (Author) / Kaplan, Shari (Author) / Li, XiaiXiao (Author)
Created2015-10-19
Description
This study examines the impact of spatial landscape configuration (e.g., clustered, dispersed) on land-surface temperatures (LST) over Phoenix, Arizona, and Las Vegas, Nevada, USA. We classified detailed land-cover types via object-based image analysis (OBIA) using Geoeye-1 at 3-m resolution (Las Vegas) and QuickBird at 2.4-m resolution (Phoenix). Spatial autocorrelation (local Moran’s I ) was then used to test for spatial dependence and to determine how clustered or dispersed points were arranged. Next, we used Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data acquired over Phoenix (daytime on 10 June and nighttime on 17 October 2011) and Las Vegas (daytime on 6 July and nighttime on 27 August 2005) to examine day- and nighttime LST with regard to the spatial arrangement of anthropogenic and vegetation features. Local Moran’s I values of each land-cover type were spatially correlated to surface temperature. The spatial configuration of grass and trees shows strong negative correlations with LST, implying that clustered vegetation lowers surface temperatures more effectively. In contrast, clustered spatial arrangements of anthropogenic land-cover types, especially impervious surfaces and open soil, elevate LST. These findings suggest that city planners and managers should, where possible, incorporate clustered grass and trees to disperse unmanaged soil and paved surfaces, and fill open unmanaged soil with vegetation. Our findings are in line with national efforts to augment and strengthen green infrastructure, complete streets, parking management, and transit-oriented development practices, and reduce sprawling, unwalkable housing development.
ContributorsMyint, Soe Win (Author) / Zheng, Baojuan (Author) / Talen, Emily (Author) / Fan, Chao (Author) / Kaplan, Shari (Author) / Middel, Ariane (Author) / Smith, Martin (Author) / Huang, Huei-Ping (Author) / Brazel, Anthony J. (Author)
Created2015-06-29
Description
Real time project management has been underutilized as a tool to help youth grow personally and professionally. The thesis Real Time Project Management (PM) for Youth from Low Income Single Parent Households develops a study that seeks to result in a higher percentage of youth attending and completing college. The concept is to have youth from low income single parent households work as project managers each summer doing real time small projects for private companies. The youth would start at age 14 and conclude at age 18. They would do five summers of project management, managing small projects each summer while learning not only about project risks, budgets, scheduling, resources, supply chain logistics and relationships that each project encompasses, but also about communication skills, mathematics and science, selfdiscipline and professional behavior, and teamwork. This thesis develops and details the Real Time
Project Management for Youth from Low Income Single Parent Households concept and introduces a potential structure and path for its testing and implementation.
Project Management for Youth from Low Income Single Parent Households concept and introduces a potential structure and path for its testing and implementation.
ContributorsShapiro, Seth (Author) / Sullivan, Kenneth (Thesis advisor) / Stone, Brian (Committee member) / Smithwick, Jake (Committee member) / Arizona State University (Publisher)
Created2018
Description
Big data that contain geo-referenced attributes have significantly reformed the way that I process and analyze geospatial data. Compared with the expected benefits received in the data-rich environment, more data have not always contributed to more accurate analysis. “Big but valueless” has becoming a critical concern to the community of GIScience and data-driven geography. As a highly-utilized function of GeoAI technique, deep learning models designed for processing geospatial data integrate powerful computing hardware and deep neural networks into various dimensions of geography to effectively discover the representation of data. However, limitations of these deep learning models have also been reported when People may have to spend much time on preparing training data for implementing a deep learning model. The objective of this dissertation research is to promote state-of-the-art deep learning models in discovering the representation, value and hidden knowledge of GIS and remote sensing data, through three research approaches. The first methodological framework aims to unify varied shadow into limited number of patterns, with the convolutional neural network (CNNs)-powered shape classification, multifarious shadow shapes with a limited number of representative shadow patterns for efficient shadow-based building height estimation. The second research focus integrates semantic analysis into a framework of various state-of-the-art CNNs to support human-level understanding of map content. The final research approach of this dissertation focuses on normalizing geospatial domain knowledge to promote the transferability of a CNN’s model to land-use/land-cover classification. This research reports a method designed to discover detailed land-use/land-cover types that might be challenging for a state-of-the-art CNN’s model that previously performed well on land-cover classification only.
ContributorsZhou, Xiran (Author) / Li, Wenwen (Thesis advisor) / Myint, Soe Win (Committee member) / Arundel, Samantha Thompson (Committee member) / Arizona State University (Publisher)
Created2019
Description
ABSTRACT
As the execution of facilities management becomes ever more sophisticated, specialized skill in managing specific types of buildings has become necessary. The sector of maintaining historic structures and sites readily falls into this type of specialized classification. This paper is a case study review of the unique “best practices” at the Nauvoo Historic Site located in Nauvoo, Illinois. It outlines a facilities management model of common core practices that was developed by the author following an assessment of various similar historic preservation campuses and their responsibilities to accurately display historic culture while observing modern-day facilities management techniques. Although these best practices are of great value in Nauvoo, they are proposed to be valuable to other sites as well because of their effectiveness. As a part of the description of best practices, an overview of the unique history of Nauvoo that generated the modern-day interest in the site will be reviewed. Additionally, the Nauvoo Facilities Management (NFM) organization will be detailed and will focus on the unique challenges associated with historic restored and reconstructed structures. Finally, the paper will also examine the use of specific facilities management techniques, management of large-scale visitor events, livestock supervision, workforce dynamics, finance and capital improvements, managing NFM within the corporate structure of a worldwide religious organization, and the part that NFM plays in community relations.
As the execution of facilities management becomes ever more sophisticated, specialized skill in managing specific types of buildings has become necessary. The sector of maintaining historic structures and sites readily falls into this type of specialized classification. This paper is a case study review of the unique “best practices” at the Nauvoo Historic Site located in Nauvoo, Illinois. It outlines a facilities management model of common core practices that was developed by the author following an assessment of various similar historic preservation campuses and their responsibilities to accurately display historic culture while observing modern-day facilities management techniques. Although these best practices are of great value in Nauvoo, they are proposed to be valuable to other sites as well because of their effectiveness. As a part of the description of best practices, an overview of the unique history of Nauvoo that generated the modern-day interest in the site will be reviewed. Additionally, the Nauvoo Facilities Management (NFM) organization will be detailed and will focus on the unique challenges associated with historic restored and reconstructed structures. Finally, the paper will also examine the use of specific facilities management techniques, management of large-scale visitor events, livestock supervision, workforce dynamics, finance and capital improvements, managing NFM within the corporate structure of a worldwide religious organization, and the part that NFM plays in community relations.
ContributorsCluff, Casey (Author) / Sullivan, Kenneth T. (Thesis advisor) / Smithwick, Jake (Committee member) / Stone, Brian (Committee member) / Arizona State University (Publisher)
Created2017
Description
Facilities Management (FM) around the globe at different companies in different industries are often forced to make difficult decisions on whether or not to transition a workplace environment and how to decide what factors of a workplace environment can benefit or hinder a company's productivity. The data and research presented within this paper are targeted at aiding and educating FM in determining what factors to consider in a workplace transition to an open-seating design and validate the importance of recognizing how these factors impact the productivity of the individual and the organization. Data contained in this paper was gathered through two different survey samples: 1) a semiconductor company that transitioned its employees from cubicles and offices to an open-seating environment; and 2) a general study open to professionals and their experiences and opinions on workplace environments. This data was used to validate or disprove the views on open-seating workspace held by the FM industry today. Data on the topic of how employees react to being transitioned to open-seating environments and looking at the breakdown of the results between engineers and non-engineers is examined within this research. Also covered within the research is data on transitions to other seating environments outside of open-seating concepts to evaluate and compare transition types. Lastly, data was gathered and discussed on the amount of time needed to adapt after a transition and what environment types were linked to being the most productive. This research provides insight on workplace environments and transitions and how they have an impact on productivity and can be used in the decision process when considering transitioning environments.
ContributorsThalin, William (Author) / Sullivan, Kenneth (Thesis advisor) / Smithwick, Jake (Committee member) / Stone, Brian (Committee member) / Arizona State University (Publisher)
Created2017
Description
The objective of this thesis is to explore the applicability and impact of specific tools within the public school facilities management sector. Tools assessed include a work order system, block scheduling, and a priority matrix. These tools assist with the management of staff assignments and workload, focused scheduling methods, and decision enhancement for task-level employees. The author found that application of these systems increase productivity within public sector schools. The use of these tools also increases customer satisfaction and reduces costs. The author also explores the challenges associated with these tools.
ContributorsBennett, Freeda (Author) / Sullivan, Kenneth (Thesis advisor) / Stone, Brian (Committee member) / Standage, Richard (Committee member) / Arizona State University (Publisher)
Created2020