UMD Theses and Dissertations

Permanent URI for this collectionhttp://hdl.handle.net/1903/3

New submissions to the thesis/dissertation collections are added automatically as they are received from the Graduate School. Currently, the Graduate School deposits all theses and dissertations from a given semester after the official graduation date. This means that there may be up to a 4 month delay in the appearance of a given thesis/dissertation in DRUM.

More information is available at Theses and Dissertations at University of Maryland Libraries.

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    Semantic Models and Reasoning for Building System Operations: Focus on Knowledge-Based Control and Fault Detection for HVAC
    (2017) Delgoshaei, Parastoo; Austin, Mark A; Civil Engineering; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    According to the U.S. Energy Information Administration (EIA), the Building Sector consumes nearly half (47.6%) of all energy produced in the United States. Seventy-five percent (74.9%) of the electricity produced in the United States is used just to operate buildings. At the same time, decision making for building operations still heavily rely on human knowledge and practical experience and may be far from optimal. In a step toward mitigating these deficiencies, this dissertation reports on a program of research to identify opportunities for using semantic models and reason- ing in building system operations. The work focuses on knowledge-based control and fault detection for heating, ventilation and air conditioning (HVAC) systems. Decision-making procedures for building system operations are complicated by the multiplicity of participating domains (e.g., architecture, equipment, sensors, occu- pants, weather, utilities) that need to be considered. The key opportunity of this approach is a means to utilize semantic models for knowledge representation, inte- gration of heterogeneous data sources, and executable processing of semantic graph models in response to external events. The results of this dissertation are con- densed into three case-study applications; (1) Semantic-assisted model predictive control (MPC) for detection of occupant thermal comfort, (2) Semantic-based util- ity description for MPC in a chiller plant operation, and (3) Knowledge-based fault detection and diagnostics for HVAC systems.
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    EVALUATING SOCIAL EXCLUSION: THE INTERACTION BETWEEN GROUP GOALS AND TARGET CHARACTERISTICS
    (2011) Richardson, Cameron; Killen, Melanie; Human Development; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    Past work has revealed that adolescents utilize a variety of justifications to support exclusion and inclusion judgments. Group functioning justifications (e.g., "She will ruin the group/make the group work well") are one frequently cited class of considerations. This type of justification is suggestive of an attempt by the adolescent to coordinate group concerns with what the target will likely bring to the group. The above account of group functioning considerations, however, has yet to be formally tested. In this report, both target characteristics (e.g., aggression, shyness, gender) as well as group goals (competitive, noncompetitive) are manipulated in a soccer context to assess the extent to which exclusion judgments rely on the perception of target-group fit. We demonstrate evidence consistent with a target-group fit account of exclusion judgments. Implications and future directions are considered.
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    The Role of Syntax and Contextual Frame in Children's Use of a Causal Theory in Reasoning about Natural Kinds
    (2005-05-27) Hammond, Jane; Scholnick, Ellin K; Human Development; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    A central focus of cognitive development research is the nature and organization of knowledge. Some researchers claim that young children use an intuitive theory to help them understand foundational domains such as biological categories. In particular, researchers have studied whether children's biological concepts are embedded in a causal theory about the nature of living organisms. Two key features of this theory are the concept of biological essences and the use of inductive generalizations. This study examined the influence of contextual frame and logical conjunctions on access and use of the theory in elementary and middle school children. It also investigated whether that causal theory supports both inductive and deductive reasoning. Children were given inductive and deductive tasks involving natural kinds. In the inductive tasks the child was asked whether a property of an animal would be found in other animals varying in taxonomic distance from the animal. In the deductive task, children worked on syllogisms based on cues at different levels of a biological taxonomy. Older children were not as likely to make inductions about instances of less biological resemblance to the target. However they also made more accurate deductions regardless of level of the hierarchy. Inductive and deductive performance were not correlated. Whether the cues were stated in a sentence beginning with "if" or "all" had no significant impact on performance, but whether the problem was presented from the viewpoint of a scientist or a pet store owner affected performance. These results were used to re-examine the basic tenets of essentialist thinking and the nature of developmental changes in reasoning about biological kinds.