This dissertation presents the systematic analysis and the critical assessment of the AC side soft-switching inverters in electric vehicle (EV) applications. Although numerous soft-switching inverter techniques were claimed to improve the inverter performance, compared with the conventional hard-switching inverter, there is the lack of comprehensive investigations of analyzing and evaluating the performance of soft-switching inverters. Starting with an efficiency comparison of a variety of the soft-switching inverters using analytical calculation, the dissertation first reveals the effects of the auxiliary circuit's operation and control on the loss reduction. Three types of soft-switching inverters realizing the zero-voltage-transition (ZVT) or zero-current-transition (ZCT) operation are identified to achieve high efficiency operation. Then one hard-switching inverter and the chosen soft-switching inverters are designed and implemented with the 55 kW power rating for the small duty EV application. The experimental evaluations on the dynamometer provide the accurate description of the performance of the soft-switching inverters in terms of the loss reductions, the electromagnetic interference (EMI) noise, the total harmonic distortion (THD) and the control complexity. An analysis of the harmonic distortion caused by short pulses is presented and a space vector modulation scheme is proposed to alleviate the effect. To effectively analyze the soft-switching inverters' performance, a simulation based electrical modeling methodology is developed. Not only it extends the EMI noise analysis to the higher frequency region, but also predicts the stress and the switching losses accurately. Three major modeling tasks are accomplished. First, to address the issues of complicated existing scheme, a new parameter extraction scheme is proposed to establish the physics-based IGBT model. Second, the impedance based measurement method is developed to derive the internal parasitic parameters of the half-bridge modules. Third, the finite element analysis software is used to develop the model for the laminated bus bar including the coupling effects of different phases. Experimental results from the single-leg operation and the three-phase inverter operation verify the effectiveness of the presented systematic electrical modeling approach. With the analytical tools verified by the testing results, the performance analysis is further extended to different power ratings and different bus voltage designs. / Ph. D.

Previous research has indicated that there is a possible relationship between disproportionality in student discipline and high school dropout rate.  Using discipline and dropout data from a mid-Atlantic state school district, discipline disproportionality and dropout rate amongst high school African American, Hispanic, and Caucasian male and females over a period of four school years was examined. The findings indicated that there was indeed discipline disproportionality among African American, Hispanic, and Caucasian students.  However, the evidence indicating a relationship between disproportionality and dropping out was not conclusive.  Based on the findings, implications for educational practice are advanced.  In addition, recommendations for further research are set forth. / Ed. D.

The work in this dissertation presents the first attempt in the literature to propose the concept of "soft switch". The goal of "soft switch" is to develop a standard PWM switch cell with built-in adaptive soft switching capabilities. Just like a regular switch, only one PWM signal is needed to drive the soft switch under soft switching condition. The core technique in soft switch development is a built-in adaptive soft switching circuit with minimized circulation energy. The necessity of minimizing circulation energy is first analyzed. The design and implementation of a universal controller for implementation of variable timing control to minimize circulation energy is presented. The controller has been tested successfully with three different soft switching inverters for electric vehicles application in the Partnership for a New Generation Vehicles (PNGV) project. To simplify the control, several methods to achieve soft switching with fixed timing control are proposed by analyzing a family of zero-voltage switching converters. The driver based soft switch concept was originated from development of a base driver circuit for current driven bipolar junction transistor (BJT). A new insulated-gate-bipolar-transistor (IGBT) and power metal-oxide-semiconductor field-effect-transistor (MOSFET) gated transistor (IMGT) base drive structure was initially proposed for a high power SiC BJT. The proposed base drive method drives SiC BJTs in a way similar to a Darlington transistor. With some modification, a new base driver structure can adaptively achieve zero voltage turn-on for BJT at all load current range with one single gate. The proposed gate driver based soft switching method is verified by experimental test with both Si and SiC BJT. The idea is then broadened for "soft switch" implementation. The whole soft switched BJT (SSBJT) structure behaves like a voltage-driven soft switch. The new structure has potentially inherent soft transition property with reduced stress and switching loss. The basic concept of the current driven soft switch is then extended to a voltage-driven device such as IGBT and MOSFET. The key feature and requirement of the soft switch is outlined. A new coupled inductor based soft switching cell is proposed. The proposed zero-voltage-transition (ZVT) cell serves as a good candidate for the development of soft switch. The "Equivalent Inductor" and state plane based analysis method are used to simply the analysis of coupled inductor based zero-voltage switching scheme. With the proposed analysis method, the operational property of the ZVT cell can be identified without solving complicated differential equations. Detailed analysis and design is proposed for a 3kW boost converter example. With the proposed soft switch design, the boost converter can achieve up to 98.9% efficiency over a wide operation range with a single gate drive. A high power inverter with coupled inductor scheme is also designed with simple control compared to the earlier implementation. A family of soft-switching converters using the proposed "soft switch" cell can be developed by replacing the conventional PWM switch with the proposed soft switch. / Ph. D.

The hospitality industry is characterized by a close interdependence between retailers and suppliers. Retailers depend on suppliers to provide the necessary goods and services to operate effectively, while suppliers rely on retailers to buy and market their products. With intense competition in the industry, effective supplier selection has become a critical asset for companies. Traditional supply chain management approaches that focus solely on increasing economic value are insufficient in the face of growing pressure for socially and environmentally responsible business practices. As a result, new criteria, including environmental, social, political, and customer satisfaction considerations, have been added to the pre-existing factors in supplier selection. While restaurants strive to select suppliers who meet their quality, social, and environmental standards, these suppliers may still face internal issues such as food safety, ethical malpractice, environmental concerns, and human rights issues. When such issues arise, it is unclear whether customers hold restaurants accountable for the mistakes of their suppliers, even when the restaurant has not been directly involved in these issues. The first part of this dissertation aims to explore how consumers associate negative news about supplier food quality and practices with the restaurants they patronize. By doing so, this study contributes to a better understanding of the indirect link between supplier issues and restaurant market value. On another note, Online Travel Agents (OTAs) play an important intermediary role in the two-sided travel distribution market. A critical factor that enhances a firm's competitive advantage is innovation. Yet, the analysis of innovation in the OTA context is scarce. The main objective of the second part of this dissertation is to fill this gap and examine the effect of OTA innovations on firm performance. We analyze the effect of two-sided market specific innovations (same-side and cross-side) on performance and contribute to the literature by expanding the theoretical understanding of innovations. We find that producer-to-consumer innovations have a greater effect on OTA performance than producer-to-producer and consumer-to-consumer innovations. A fundamental managerial implication is that exchange management is an area to be enhanced when innovating in travel market distribution. Lastly, with the unprecedented increase in food delivery demand due to the new consumption habits of individuals, delivery pricing is an issue to consider keeping consumers happy and continuously demanding this service. Research in economics and in service marketing have described how consumers do recognize the "free" under a product's price differently. This pricing approach is based upon that widespread notion that providing free goods or services to customers adds value to them and so increases their desire to buy. In the last part of the dissertation, we study the Zero price model on a multicomponent product with Food being the first component (where its price is always positive) and the delivery service as the second (where its price will eventually hit the zero-price tag). Elaborating more on previous studies and filling their gaps, we will be dividing the zero-price model into three scenarios: The true free scenario, the true free scenario with different discounts, and the fake-free scenario as each one is expected to yield different consumer behaviors in the process, but all should act similarly when the price hits the "free" tag. / Doctor of Philosophy / The hospitality industry is deeply intertwined, as retailers and suppliers rely on one another for success. Retailers depend on suppliers for essential goods and services, while suppliers count on retailers for purchasing and promoting their products. With increasing competition, it is vital for companies to select the right suppliers. Merely focusing on profit maximization is no longer sufficient, as there is growing pressure to adopt socially and environmentally responsible practices. Factors such as environmental, social, political aspects, and customer satisfaction now play a role in supplier selection. Restaurants strive to collaborate with suppliers that meet their criteria, but these suppliers may still encounter issues like food safety, ethical dilemmas, environmental issues, and human rights problems. The question remains whether customers hold restaurants accountable for their suppliers' mistakes. The first part of this dissertation investigates consumer responses to negative supplier news and its impact on their choice of restaurants. In another aspect, Online Travel Agents (OTAs) significantly influence the travel market. Innovation is a critical factor in achieving success, yet there has been limited research on innovation within the OTA context. The second part of this dissertation seeks to bridge this gap by examining how OTA innovations affect their performance. The study reveals that certain innovations have a more significant impact on OTA performance than others, indicating that enhancing exchange management is essential for innovation within the travel market. Lastly, the surge in food delivery demand has made delivery pricing a crucial aspect in maintaining customer satisfaction and promoting continued use of the service. Research indicates that consumers perceive "free" items or services distinctively, with "free" offers increasing their inclination to purchase. The last part of this dissertation explores the Zero price model for food delivery, wherein the food is the first component with a positive price, and the delivery service is the second component with a potentially free price. We categorize the zero-price model into three scenarios: true free, true free with different discounts, and fake-free, anticipating that they will result in different consumer behaviors, but all should exhibit similar effects when the price is "free."

With the increasing demand for clean and renewable energy, new distribution network concepts, such as DC microgrids and distributed power generation networks, are being developed. One key component of such networks is the grid-interfacing DC-DC power converter that can transfer power bi-directionally while having a wide range of voltage step-up and step-down capabilities. Also, with the proliferated demand for electric vehicle chargers, battery energy storage systems, and solid-state transformers (SST), the bi-directional high-power DC-DC converter plays a more significant role in the renewable energy industry. To satisfy the requirements of the high-power bi-directional wide-range DC-DC converter, different topologies have been compared in this thesis, and the four-switch buck-boost (FSBB) converter topology has been selected as the candidate. This work investigates the operation principle of the FSBB converter, and a digital real-time low-loss quadrangle current mode(QCM) control implementation, which satisfies the zero-voltage-switching (ZVS) requirements, is proposed. With the QCM control method, the FSBB converter efficiency can be further increased by reducing the inductor RMS current and device switching loss compared to traditional continuous current mode(CCM) control and discontinuous current mode(DCM) control. Although the small signal model has been derived for FSBB under CCM control, the small ripple approximation that was previously used in the CCM model no longer applies in the QCM model and causing the model to be different. To aid the control system compensator design, QCM small signal model is desired. In this thesis, a small signal model for FSBB under QCM control is proposed. A 50 kW silicon carbide (SiC) based grid-interfacing converter prototype was constructed to verify the QCM control implementation and small signal model of the FSBB converter. For driving the 1.2kV SiC modules, an enhanced gate driver with fiber optic (FO) based digital communication capability was designed. Digital on-state and off-state drain-source voltage sensors and Rogowski coil-based current sensors are embedded in the gate driver to minimize the requirement for external sensors, thus increasing the power density of the converter unit. Also, Rogowski-coil-based current protection and drain-source voltage-based current protection is embedded in the gate driver to prevent SiC switching device from damage. / Master of Science / The renewable energy sector is driving the development of new distribution networks, such as DC microgrids and distributed power generation networks. One crucial component of these networks is the grid-interfacing DC-DC power converter, which can transfer power in both directions while maintaining a wide voltage range. This study evaluates various topologies and selects the four-switch buck-boost (FSBB) converter topology to meet the demands of high-power, bi-directional, and wide-range DC-DC converters. This work analyzed the operation of the FSBB converter and proposed a novel simplified quadrangle current mode (QCM) control implementation. With the QCM control method, the FSBB converter efficiency can be further improved by reducing losses compared to conventional control methods. This study also provides a small signal model, which can be used to aid the control loop compensator design where application of FSBB converter is required. A 50 kW silicon carbide (SiC) based grid-interfacing converter prototype, which was constructed to validate the proposed QCM control implementation and small signal model of the FSBB converter. As part of the converter unit,the enhanced gate driver design and implementation is presented in this thesis. This gate driver is designed with fiber optic-based digital communication, drives the wide bandgap SiC modules. The gate driver also features embedded digital on-state and off-state drain-source voltage sensors and non-intrusive current sensors to minimize external sensor requirements, thereby increasing the power density of the converter unit. The gate driver also incorporates high bandwidth current protection and drain-source voltage-based current protection to protect the SiC switching device from damage.

Zero-shot Natural Language-Video Localization (NLVL) has shown promising results in training NLVL models solely with raw video data through dynamic video segment proposal generation and pseudo-query annotations. However, existing pseudo-queries lack grounding in the source video and suffer from a lack of common ground due to their unstructured nature. In this work, we investigate the effectiveness of commonsense reasoning in zero-shot NLVL. Specifically, we present CORONET, a zero-shot NLVL framework that utilizes commonsense information to bridge the gap between videos and generated pseudo-queries through a commonsense enhancement module. Our approach employs Graph Convolutional Networks (GCN) to encode commonsense information extracted from a knowledge graph, conditioned on the video, and cross-attention mechanisms to enhance the encoded video and pseudo-query vectors prior to localization. Through empirical evaluations on two benchmark datasets, we demonstrate that our model surpasses both zero-shot and weakly supervised baselines. These results underscore the significance of leveraging commonsense reasoning abilities in multimodal understanding tasks. / Master of Science / Natural Language Video Localization (NLVL) is the task of retrieving relevant video segments from an untrimmed video given a user text query. To train an NLVL system, traditional methods demand annotations on the input videos, which include video segment spans (i.e., start and end timestamps) and the accompanying text query describing the segment. These annotations are laborious to collect for any domain and video length. To alleviate this, zero-shot NLVL methods generate the aforementioned annotations dynamically. However, current zero-shot NLVL approaches suffer from poor alignment between the video and the dynamically generated query, which can introduce noise in the localization process. To this end, this work aims to investigate the impact of implicit commonsensical knowledge, which humans innately possess, on zero-shot NLVL. We introduce CORONET, a zero-shot NLVL framework that utilizes commonsense information to bridge the gap between videos and generated pseudo-queries. Experiments on two benchmark datasets, containing diverse themes of videos, highlight the effectiveness of leveraging commonsense information.

Karst landscapes can serve as carbon sinks when carbon dioxide (CO2) reacts with water to form carbonic acid, which then weathers carbonate rocks. However, CO2 can also move through the subsurface via gas diffusion, a process that is not well-understood in karst systems. This study focused on quantifying CO2 diffusion within a karst sinkhole. The objectives of this study were to: 1) identify the depth of the zero-flux plane (i.e., depths of local maximum CO2 concentrations), analyze the distributions of concentration gradients, and investigate the validity of a uniform concentration gradient throughout the profile; and 2) assess the influences of vertical position and seasonality on CO2 fluxes within this sinkhole. The study site contained three locations within the sinkhole, including shoulder, backslope, and toeslope locations. Each location had three soil CO2 and three soil water content/temperature sensors placed at 20, 40, and 60 cm depths. Zero-flux planes were seldom detectable during the warm season (April-September) but were frequently found near the surface (20 or 40 cm) during the cool season (October-March). The common assumption of a uniform concentration gradient was often invalid based on relative concentrations between sensor pairs. As for the second objective, CO2 fluxes generally followed a trend of upward fluxes in warmer months that was partially offset by downward fluxes during the cooler months. These study results provide new insight into CO2 dynamics in a karst system, and suggest that subsurface processes such as chemical weathering and cave ventilation affect the direction and magnitude of CO2 fluxes. / Master of Science / Carbon dioxide (CO2) within soils is a larger pool of CO2 than atmospheric CO2. Therefore, the movement of CO2 within soils is important to understand, as soil CO2 may eventually diffuse through the soil and into the atmosphere. Soil CO2 movement is dependent on many factors such as soil water content, porosity, and temperature. Soil CO2 movement may vary between landscapes as well, due to chemical weathering processes being sinks of soil and atmospheric CO2. One type of important landscape is karst, which can be identified by easily soluble rocks, usually in the forms of limestone and dolomite rocks. In order to investigate the influences of karst landscapes on the movement of soil CO2, in this study I identified the depths of CO2 maximum concentrations and CO2 movement over time and by sinkhole slope position. The results from this study were that the depth of maximum CO2 concentration was deeper, > 40 cm, during the warmer months and often shallower, ≤ 40 cm, during the cooler months. The CO2 fluxes generally followed a trend of upward fluxes in warmer months that was partially offset by downward fluxes during the cooler months. The results from this study suggest that due to vertical differences in soil properties, temperature, chemical weathering of the karst rock, and cave ventilation the depth of the maximum CO2 concentration and the CO2 movement vary by season and sinkhole slope location. This study provides new insight to CO2 movement relative to karst landscapes while highlighting the importance of soil and geologic properties as influences that can alter the direction and magnitude of CO2 fluxes.

The pressure fluctuations under a high Reynolds Number, rough-wall, turbulent, boundary layer have been studied in the Virginia Tech Stability Wind Tunnel. Rough surfaces of varying element height (1-mm, 3-mm), shape (hemispheres, cylinders) and spacing (5.5-mm, 10.4-mm, 16.5-mm) were investigated in order to ascertain how the turbulent pressure fluctuations change with changes in roughness geometry. Rough surfaces which contain two types of elements are investigated and relationships between the combination surface and the individual surfaces have been uncovered. Measurements of the wall pressure fluctuations were made using pinhole microphones and hotwire measurements were made to obtain the velocity and turbulence field. Among the principal findings is the development of two scaling laws for the low frequency pressure fluctuations. Both of these are based on the idea that the defect between the edge velocity and some local boundary layer velocity sustains the pressure fluctuations in the outer regions of the flow. The first scaling uses the broadband convection velocity as the local velocity of the large scale pressure fluctuations. The second scaling uses the mean boundary layer velocity. Both these scalings appear more robust than the previously proposed scalings for the low frequency region and are able to scale the pressure spectra of all the data to within 3.5-dB. In addition, it was proven that the high frequency shear friction velocity scaling of Meyers et al. (2015) is universal to rough surfaces of different element shape and density. Physical insights into the shear friction velocity, on which this scaling is based, have been revealed. This includes an empirical formula which estimates the element pressure drag coefficient from the roughness density and the Reynolds number. The slopes in the mid-frequency region were found to vary with element density and microphone location such that a useful scaling could not be determined for this region. The possibility of an overlap region is explored and the expectation of a -1 slope is disproved. It is hypothesised that an evanescent decay of the mid-frequency pressure fluctuations occurs between their actual location and the wall where they are measured. A method for accounting for this decay is presented in order to scale the pressure fluctuations in this region. Lastly, a piecewise interpolation function for the pressure spectrum of rough wall turbulent boundary layers was proposed. This analytical function is based on the low frequency scaling on mean velocity and the high frequency scaling of Meyers et al. (2015) The mid-frequency is estimated by a spline interpolation between these two regions. / Ph. D. / Most flows of practical interest are turbulent in nature, typically occurring next to a rigid surface such as a submarine hull or aircraft wing. This boundary layer flow is of engineering importance because its pressure fluctuations are the source of unwanted structural vibrations and undesired acoustic noise. From a purely scientific perspective, it is useful to study the turbulent pressure fluctuations in order to learn more about the workings of the region of the flow closest to the surface. Turbulent flow over smooth walls has been researched extensively. However, one cannot ignore the fact that surfaces of practical interest are not smooth. Thus, it is important to account for the effect of roughness on the turbulent boundary layer. It has been found that there are significantly greater pressure fluctuations over rough walls when compared to smooth walls. Consequently the extent of vibrations and noise which occur in rough walls is larger than that experienced in smooth walls. The present study seeks to shed light on the nature of the rough-wall turbulent boundary layer through wind tunnel experiments. The nature of the velocity, pressure fluctuations, and turbulence within the boundary layer are examined as well as the existence of universal relationships which are applicable to all rough-wall turbulent boundary layers. A method for predicting the pressure fluctuations (to within 4-dB) over a specific rough wall is also proposed.

Thesis advisor: Sarah Babb / The years since the Paris Agreement have seen intensifying efforts to decarbonize the financial system. Disclosure frameworks, notably the Taskforce for Climate-related Financial Disclosure (TCFD), and Net-Zero targets, are fast becoming institutionalized globally to incentivize financial institutions to divert capital into low-carbon activities and away from carbon-heavy ones. I examine the implementation of these frameworks among financial corporations (FCs) in Singapore. 15 semi-structured interviews with professionals in the industry at the forefront of TCFD and Net-Zero suggest that FCs’ “talk” often does not match with their “actions”. Organizations ceremonially comply with new global standards as well as local regulations on TCFD and Net-Zero while they continue to finance carbon-intensive economic activities. Yet this apparent “hypocrisy” may not be so much a result of coordinated efforts for organizational buffering, as it is a consequence of disorganization and discoordination. Informants suggest that different parts within FCs independently perceived and responded differently, at a different pace, to the novel challenges that climate change has brought. I contribute to the environmental sociology literature on “organized hypocrisy” by examining how commonly perceived “hypocrisy” is or is not, in fact, “organized”. In doing so, I suggest that we should not assume “hypocrisy” to be an intentional organizational project. Furthermore, rather than seeing “hypocrisy” as effort to keep an organization “stable”, I argue that hypocrisy may be indicative of slow and potentially discordant organizational change, with ongoing internal efforts by insiders to match “actions” with “talk”. / Thesis (MA) — Boston College, 2023. / Submitted to: Boston College. Graduate School of Arts and Sciences. / Discipline: Sociology.

Designing Net-Zero Energy Buildings (NZEB) is a complex and collaborative team process involving knowledge sharing of experts leading to the common goal of meeting the Net-Zero Energy (NZE) project objectives. The decisions made in the early stages of design drastically affect the final outcome of design and energy goals. The Architecture, Engineering and Construction (AEC) industry is pursuing ways to improve the current building design process and project delivery methods for NZEBs. To enable the building industry to improve the building design process, it is important to identify the gaps, ways of improvement and potential opportunities to structure the decision-making process for the purpose of NZE performance outcome. It is essential to identify the iterative phases of design decisions between the integrated team of experts for the design processes conducted in these early stages to facilitate the decision-making of NZEB design. The lack of a structured approach to help the AEC industry in making informed decisions for the NZEB context establishes the need to evaluate the argumentation of the NZEB design decision process. The first step in understanding the NZEB design decision process is to map the current processes in practice that have been successful in achieving the NZE goal. Since the energy use performance goal drives the design process, this research emphasizes first the need to document, in detail, and investigate the current NZEB design process with knowledge mapping techniques to develop an improved process specific to NZEB context. In order to meet this first objective, this research qualitatively analyzed four NZEB case studies that informed decision-making in the early design phases. The four components that were studied in the early design phases included (1) key stakeholders involved (roles played), (2) phases of assessments (design approach, (3) processes (key processes, sub-processes and design activities affecting performance) and (4) technology (knowledge type and flow). A series of semi-structured, open-ended interviews were conducted with the key decision-makers and decision facilitators to identify their roles in the early design processes, the design approach adopted, rationale for decision-making, types of evaluations performed, and tools used for analysis. The qualitative data analysis was performed through content analysis and cognitive mapping techniques. Through this process, the key phases of decision-making were identified that resulted in understanding of the path to achieving NZE design goal and performance outcome. The second objective of this research was to identify the NZE decision nodes through a comparative investigation of the case studies. This research also explored the key issues specific to each stakeholder group. The inter-relationships between the project objectives, decision context, occupants usage patterns, strategies and integrated systems, building operation and renewable energy production was identified through a series of knowledge maps and visual process models leading to the identification of the key performance indicators. This research reviewed the similarities and differences in the processes to identify significant opportunities that can improve the early building design process for NZEBs. This research identifies the key decision phases used by the integrated teams and describes the underlying structure that can change the order of key phases. A process mapping technique was adapted to capture the practice-based complex NZEB design approach and draw insights of the teamwork and interdisciplinary communication to enable more comprehensive understanding of linkages between processes, sub-processes and design activities, knowledge exchange, and decision rationale. Ket performance indicators identified for early design of NZEBs resulted in developing a decision-support process model that can help the AEC industry in making informed decisions. This dissertation helps improve understanding of linkages between processes, decision nodes and decision rationale to enable industry-wide NZEB design process assessment and improvement. This dissertation discusses the benefits the proposed NZEB design process model brings to the AEC industry and explores future development efforts. / Ph. D.