Ph.D., Antioch University, 2015, Antioch New England: Environmental Studies

While there are as yet no wind energy facilities in New England coastal waters, a number of wind turbine projects are now operating on land adjacent to the coast. In the Gulf of Maine region (from Maine to Massachusetts), at least two such projects, one in Falmouth, Massachusetts, and another on the island of Vinalhaven, Maine, began operation with public backing only to face subsequent opposition from some who were initially project supporters. I investigate the reasons for this dynamic using content analysis of documents related to wind energy facility development in three case study communities. For comparison and contrast with the Vinalhaven and Falmouth case studies, I examine materials from Hull, Massachusetts, where wind turbine construction and operation has received steady public support and acceptance. My research addresses the central question: What does case study analysis of the siting and initial operation of three wind energy projects in the Gulf of Maine region reveal that can inform future governance of wind energy in Massachusetts state coastal waters? I consider the question with specific attention to governance of wind energy in Massachusetts, then explore ways in which the research results may be broadly transferable in the U.S. coastal context. I determine that the change in local response noted in Vinalhaven and Falmouth may have arisen from a failure of consistent inclusion of stakeholders throughout the entire scoping-to-siting process, especially around the reporting of environmental impact studies. I find that, consistent with the principles of ecosystem-based and adaptive management, design of governance systems may require on-going cycles of review and adjustment before the implementation of such systems as intended is achieved in practice. I conclude that evolving collaborative processes must underlie science and policy in our approach to complex environmental and wind energy projects; indeed, collaborative process is fundamen (open full item for complete abstract)

Committee: James Jordan Ph.D. (Committee Chair); Joy Ackerman Ph.D. (Committee Member); Herman Karl Ph.D. (Committee Member) Subjects: Alternative Energy; Energy; Environmental Management; Environmental Studies; Public Policy

PhD, University of Cincinnati, 2010, Engineering and Applied Science: Industrial Engineering

An Energy Management System (EMS) monitors, evaluates, and controls the performance of different energy-consuming equipment such as motors and compressors and extending to plant-floor machinery. This research explores and develops a systematic framework and statistically-significant analytic models for using electric consumption power variables as an indicator for machine-level health or performance. This is in an effort to explore new techniques for improving the current capabilities of traditional energy management systems. Power data is collected real-time for electrical power consumption usage of machines, under consistent operational conditions. Three levels of performance assessment and associated models are developed based on acquired power signals that effectively consider the power consumed by a machine as an indicator for overall machine performance. The research hypothesis is that a relationship exists between a machine's electric energy consumption levels and the machine's level of performance and potential health degradation. An intuitive predictive model is developed to give a power-based performance prediction for one machining cycle or cycle step ahead. The models are successfully implemented and validated on a real-world industrial case study for an injection molding process where electrical power consumption data is collected. A standard moving average method is used to benchmark the results of this analysis.

Committee: Jay Lee PhD (Committee Chair); Hongdao Huang PhD (Committee Member); Ernest Hall PhD (Committee Member); Hiroshi Nakajima PhD (Committee Member); Richard Leroy Shell PhD (Committee Member) Subjects: Industrial Engineering

PHD, Kent State University, 2011, College of Arts and Sciences / Department of Biological Sciences

A holistic, integrated management approach called ecosystem-based management (EBM) has been adopted in many large aquatic ecosystems. A survey-based approach was used to assess characteristics of implementation of EBM in Lake Erie and four reference aquatic systems (Chesapeake Bay, Puget Sound, Tampa Bay and the Baltic Sea) to identify important factors characteristic of successful implementation of EBM in these large aquatic ecosystems to sustain them in a healthy, productive and resilient condition so they can provide the services humans want and need. To understand differences in perceptions of diverse stakeholders, survey respondents were stratified in two ways: by area of focus (Aquatic, Fisheries, Watershed and Ecosystem) and by type of organization (Government/Regulatory, Business/Industry, Academic and NGO). Three analyses were performed on the data using ANOVA, PCA and crosstabs methodology: comparison across the five ecosystems (Analysis A), stratification and comparison of Lake Erie stakeholders by area of focus and type of organization (Analysis B), and stratification and comparison of all ecosystem stakeholders by area of focus and type of organization (Analysis C). Stakeholder perceptions versus realities in Lake Erie and reference aquatic ecosystems were also analyzed in detail regarding EBM implementation, voluntary versus legislatively mandated implementation, ecosystem condition, perspectives of diverse stakeholders, public engagement and leadership organizations present. EBM implementation was positively correlated with positive ecosystem outcomes when the ecosystems were viewed both individually and collectively. This view was shared by all classes of respondents (by area of focus and type of organization) from the five ecosystems collectively. However, this was not true for the Lake Erie ecosystem. Only Watershed respondents (by area of focus) and Government/Regulatory and Academic respondents (by type of organization) showed this result. Ecosy (open full item for complete abstract)

Committee: Robert Heath PhD (Committee Chair); Darren Bade PhD (Committee Member); John Gannon PhD (Committee Member); Laura Leff PhD (Committee Member); Jeffrey Reutter PhD (Committee Member); Richard Serpe PhD (Committee Member) Subjects: Biology; Conservation; Ecology; Environmental Management; Environmental Science; Freshwater Ecology; Water Resource Management

Doctor of Philosophy, The Ohio State University, 2013, Business Administration

In recent years, healthcare organizations (HCOs) in the United States and across the globe have come under increasing pressure to reduce cost while maintaining high quality of care. Supplies and equipment contribute significantly to the total healthcare cost as these categories account for approximately 40% of HCO spending. The healthcare supply chain is distinctly different from traditional supply chains, and findings from extant supply chain research may therefore not apply to the healthcare supply chain. The relationship between the supply chain members is a key determinant of supply chain excellence. In this dissertation the role of dependence and inter-organizational power and the effect of supply chain relationships in the healthcare supply chain are investigated. Survey data from 276 procurement professionals from US HCOs are analyzed using factor analysis and structural equation modeling. The relationship between an Original Equipment Manufacturer (OEM) and an HCO is interceded by a middleman, the Group Purchasing Organization (GPO). The analysis offers strong empirical evidence that this interceded relationship is positively affected by an OEM’s non-mediated power and that this relationship positively affects the performance of both the OEM and the HCO. The relationship between the GPO and the HCO is positively affected by the GPO’s non-mediated power, but is surprisingly not affected by the GPO’s mediated power. This GPO-HCO relationship furthermore only affects the GPO’s performance. The results suggest that the performance of an HCO is not affected by a relationship with a GPO. The analysis also indicates that when a buyer uses a procurement service provider, such as a GPO, the buying organization can end up in a dependence trap; An HCO’s dependence on the GPO positively affects the HCO’s dependence on the OEM. Furthermore, an HCO’s dependence on a GPO and on an OEM affects the HCO’s assessment of (open full item for complete abstract)

Committee: W.C. Benton (Advisor); Peter Ward (Committee Member); Gökçe Esenduran (Committee Member) Subjects: Business Administration

Master of Science in Electrical Engineering (MSEE), Wright State University, 2024, Electrical Engineering

This study examines the aging effects of GaN HEMTs, focusing on the CG2H40010 device under conditions that mimic the high-power, high-frequency environments of wireless communication systems. With the increasing adoption of GaN technology in RF applications, understanding its degradation mechanisms under CW stress and modulated signal characterization is essential for predicting device lifetime and ensuring performance standards for modern communication systems. RFALT was employed to stress the device using CW signals, while key performance metrics, such as gain compression, gate leakage, ACP, and EVM, were assessed using W-CDMA signals to replicate real-world dynamic stresses. The findings reveal that CW stress accelerates thermal and electrical degradation in GaN HEMTs, while W-CDMA characterization highlights the impact of complex modulation on linearity and spectral containment. Degradation mechanisms such as ohmic contact wear and dielectric failure significantly affect performance, especially under high peak-to-average ratio conditions. This research underscores the importance of combining CW-based RFALT with modulation-specific testing to evaluate device reliability comprehensively. By addressing thermal management, enhancing dielectric materials, and employing linearization techniques, these insights pave the way for optimizing GaN HEMTs to meet the stringent requirements of 5G and future wireless communication systems.

Committee: Yan Zhuang Ph.D. (Advisor); Weisong Wang Ph.D. (Committee Member); Marian K. Kazimierczuk Ph.D. (Committee Member) Subjects: Electrical Engineering; Electromagnetics

Master of Arts in Psychology, Cleveland State University, 2024, College of Liberal Arts and Social Sciences

Adolescence is a crucial stage marked by significant psychosocial changes and the development of personality traits. Narcissism, known for its maladaptive nature, peaks during this time. However, it is important to note that narcissism has both adaptive and maladaptive dimensions. The intricate connection between these dimensions and their influence on conflict management strategies in adolescent romantic relationships is an area that has not been extensively studied. This study aimed to establish relationships between the narcissism dimensions (adaptive and maladaptive) and conflict management strategies (positive and abusive), while considering the influence of individual factors such as socio-emotional abilities such as emotional intelligence and empathy, moral disengagement, and perceived power. To achieve this, the study involved late adolescents aged 18-20 (N = 153) who had experienced at least one romantic relationship between the ages of 15-17. Participants engaged in an online retrospective survey about a significant romantic relationship during that period. Hierarchical regressions revealed that both adaptive and maladaptive narcissism are predictors of positive strategies, while maladaptive narcissism emerged as the sole predictor of abusive strategies. Moderation analyses exploring individual factors' impact on narcissism and conflict management strategies revealed that while empathy and perceived power did not moderate any relationships, other factors significantly influenced the relationship between narcissism dimensions and conflict management strategies. Low emotional intelligence and high moral disengagement were found to increase abusive strategies, particularly in the presence of high maladaptive narcissism. These findings underscore the importance of considering personality traits, socio-emotional abilities, and cognitive factors such as moral disengagement in understanding and addressing dating abuse amon (open full item for complete abstract)

Committee: Kathleen Reardon Ph.D. (Committee Chair); Elizabeth Goncy Ph.D. (Committee Member); Ilya Yaroslavsky Ph.D. (Committee Member) Subjects: Clinical Psychology; Personality; Psychology

Doctor of Education (Ed.D.) in Organizational Leadership , Franklin University, 2024, International Institute for Innovative Instruction

Among the top reasons public school superintendents leave their positions is the poor relationships and conflicts with board members, and union representatives (Grissom & Mitani, 2016). The national average of superintendent tenure is less than four years resulting in K-12 leadership instability, at all levels of the school and district office (Chingos et al., 2014; Grissom & Andersen, 2012; Grissom & Mitani, 2016; Yee & Cuban, 1996). This qualitative, grounded theory research study explores conflict management practices in the relationship using three constructs: communication, shared decision making and trust. Research studies have been conducted that address the characteristics of effective superintendents and school boards; however, the need to study how superintendents and boards establish relationships has never been greater. The significance of conducting this research study exploring conflict management practices with a specific focus on communication, shared decision making, and trust may serve as a foundation for school districts seeking to improve school governance and extend superintendent tenure. The findings may assist others in gaining a deeper understanding of the power dynamics that operate within these relationships and how the power can be leveraged to achieve positive outcomes for students.

Committee: Valerie Storey (Committee Chair); Eliot Jackson (Committee Member); Bora Pajo (Committee Member) Subjects: Adult Education; Education; Educational Leadership

Doctor of Philosophy, The Ohio State University, 2022, Electrical and Computer Engineering

Power electronics have been an integral part of any power system and high-power wide bandgap (WBG) devices are very attractive owing to their high switching frequency and high efficiency. Large bandgap and high breakdown field make WBG semiconductors very attractive for high-power devices. However, there are a lot of critical challenges when it comes to the efficiency and reliability of designing, fabricating, and packaging such high-power devices. Challenges range from the material properties such as mobility, saturation velocity, thermal conductivity, defect density etc. to the cost of the substrate or availability of the process for epi-layer growth, fabrication, or thermal packaging. This Ph D. research focuses on addressing some of these issues in the development of WBG semiconductor devices with proper thermal packaging for high-power applications. The key contributions of this work towards the high-power devices using WBG semiconductors are: (1) Designing the proper device structure for high-power vertical GaN PN diodes on bulk GaN structures. This includes analytical and numerical simulations to determine different attributes of the structure from the thickness of each layer to the doping concentration. Designing the device structure also includes determining the proper edge termination techniques such as mesa or guard rings for field management. Finally understanding the effects of different kinds of passivation dielectrics on a high-power vertical PN diode. A mix of thin high-k dielectric and a thicker low-k dielectric helps not only to reduce the leakage current but also with electric field management to increase the breakdown voltage. (2) Fabrication and Measurement of the vertical GaN PN diodes for various applications, ranging from low (1 kV) to high (>5 kV) voltage applications. A big issue that this work concentrates on is achieving ohmic contacts for the anode on the pGaN layer of the PN diode. This work reports the lowest p-contact resistance of mi (open full item for complete abstract)

Committee: Wu Lu (Advisor) Subjects: Electrical Engineering; Nanotechnology; Solid State Physics

Doctor of Philosophy in Engineering, Cleveland State University, 2022, Washkewicz College of Engineering

In a deregulated electricity market, Independent System Operators (ISOs) are responsible for dispatching power to the load securely, efficiently, and economically. ISO performs Security Constrained Unit Commitment (SCUC) to guarantee sufficient generation commitment, maximized social welfare and facilitating market-driven economics. A large number of security constraints would render the model impossible to solve under time requirements. Developing a method to identify the minimum set of security constraints without overcommitting is necessary to reduce Mixed Integer Linear Programming (MILP) solution time. To overcome this challenge, we developed a powerful tool called security constraint screening. The proposed approach effectively filters out non-dominating constraints by integrating virtual transactions and capturing changes online in real-time or look-ahead markets. The security-constraint screening takes advantage of both deterministic and statistical methods, which leverages mathematical modeling and historical data. Effectiveness is verified using Midcontinent Independent System Operator (MISO) data. The research also presented a data-driven approach to forecast congestion patterns in real-time utilizing machine learning applications. Studies have been conducted using real-world data. The potential benefit is to provide the day-ahead operators with a tool for supporting decision-making regarding modeling constraints.

Committee: Zhiqiang Gao (Committee Chair); Hongxing Ye (Advisor); Siu-Tung Yao (Committee Member); Lili Dong (Committee Member); Sailai Shao (Committee Member); Ana Stankovic (Committee Member) Subjects: Electrical Engineering

Master of Science in Cyber Security (M.S.C.S.), Wright State University, 2022, Computer Science

The current Routing Protocol for Low Power and Lossy Networks (RPL) standard provides three security modes Unsecured Mode (UM), Preinstalled Secure Mode (PSM), and Authenticated Secure Mode (ASM). The PSM and ASM are designed to prevent external routing attacks and specific replay attacks through an optional replay protection mechanism. RPL's PSM mode does not support key replacement when a malicious party obtains the key via differential cryptanalysis since it considers the key to be provided to nodes during the configuration of the network. This thesis presents an approach to implementing a secure authenticated key exchange mechanism for RPL, which ensures the integrity and authentication of the received key while providing tamper-proof data communication for IoTs in insecure circumstances. Moreover, the proposed approach allows the key to be updated regularly, preventing an attacker from obtaining the key through differential cryptanalysis. However, it is observed that the proposed solution imposes an increase in the cost of communication, computation, power consumption, and memory usage for the network nodes.

Committee: Bin Wang Ph.D. (Advisor); Zhiqiang Wu Ph.D. (Committee Member); Meilin Liu Ph.D. (Committee Member) Subjects: Computer Science

Doctor of Philosophy, Case Western Reserve University, 2021, Management

Information technology (IT) projects are getting more complex by the day. From piloting to deployment, through different project phases and cycles, the IT field is still experiencing catastrophic failure. Seventy-one percent (71%) of IT projects are either outright failures or remain significantly challenged during the project execution, and most are related to soft-skills inadequacies. The three studies in this dissertation provide empirical evidence through various theoretical lenses that help explain how to avoid such failures. In particular, I focus on IT project managers' influence in forming critical project alignment toward actualizing project benefits and shaping consequent project success. Study 1 researched factors that lead IT projects to fail. I intended to better understand what shapes project outcomes, that is, causes that contribute to failure. Findings revealed, the use/lack of power, authority, and influence shapes project outcome. Study 2 investigated the role of the IT project manager's influence toward actualizing project benefits realization. I developed a model of benefits realization at the project level and analyzed to what extent it is driven by the stakeholders' and business alignment induced by three types of influence (dimensions); behavioral, and informational, and power-based held associated with the project manager's role. Findings revealed information and behavioral-based influence are significant means of impacting stakeholder alignment to realize benefits. Also, my research suggested that power and behavioral-based influence are significant means of impacting business alignment to realize benefits. Study 3 aimed to uncover the influence tactics (success elements) IT project managers enact while creating stakeholders and business alignment. Results revealed that IT project managers use different tactics to achieve the desired results and/or actualize benefits while engaging with business and stakeholders. Nonetheless, this behavior i (open full item for complete abstract)

Committee: Kalle Lyytinen (Committee Chair); Richard J. Boland, Jr (Committee Member); William Brake (Committee Member); George Vairaktarakis (Committee Member) Subjects: Business Administration; Business Community; Computer Science; Epistemology; Information Systems; Information Technology; Management; Social Research; Social Structure; Sustainability; Systems Design; Technology

Master of Science in Mechanical Engineering (MSME), Wright State University, 2021, Mechanical Engineering

Two sub-systems that present a significant challenge in the development of highperformance air vehicle exceeding speeds of Mach 5 are the power generation and thermal management sub-systems. The air friction experienced at high speeds, particularly around the engine, generates large thermal loads that need to be managed. In addition, traditional jet engines do not operate at speeds greater than Mach 3, therefore eliminating the possibility of a rotating power generator. A multi-mode water-based Rankine cycle is an innovative method to address both of these constraints of generating power and providing cooling. Implementing a Rankine cycle-based system allows for the waste heat from the vehicle to be used to meet the onboard power requirements. This application of a Rankine cycle differs from standard power plant applications because the transient system dynamics become important due to rapid changes in thermal loads and electrical power requirements. Both an experimental and computational investigation is presented. An experimental steady state energy balance was used to determine a 5.1% and 11.5% thermal and Second Law efficiency, respectively. Transient testing showed an increase in power generation of 283% in 30.5 seconds when starting from idle, with a steady state power generation of 230 W. In addition to the power generation, the experimental system removed 10.7 kW from the hot oil loop which emulates a typical aircraft cooling fluid. Experimental results were used in the development of dynamic computational models using OpenModelica, an opensource modeling tool. Deviation between model and experimental results was within 5% for component models and 3.5% when analyzing the system energy balance. Testing of the vehicle level model included steady state, transient, and simulated mission, which was used to characterize performance and develop the system controls. During transient testing, the system controls demonstrated the ability to meet b (open full item for complete abstract)

Committee: Mitch Wolff Ph.D. (Advisor); Rory Roberts Ph.D. (Committee Member); José Camberos Ph.D. (Committee Member); Levi Elston M.S. (Other) Subjects: Mechanical Engineering

Doctor of Philosophy, The Ohio State University, 2020, Electrical and Computer Engineering

A dual-frequency dual-inductor multiple-output (DF-DIMO) power management system with interleaved switching is presented in 28nm technology on a 6mm2 chip for integration on a system-on-chip (SOC). This system is capable of supplying between 20 and 200mA of current each to 10 loads with fast DVS scaling between 600 and 900mV. Design considerations are presented, as well as similarities and differences to previous DF-SIMO and DF-DIMO topologies. Simulation results of the system are given, and based on these results, peak efficiency of the system is shown to be 78% at full load (900mV and 200mA for all loads). A 3rd-order pi filter is proposed for output voltage ripple filtering, and it is demonstrated in simulation to reduce voltage ripple from 120mV to 9mV. DVS scaling is demonstrated and shown to occur within 80ns. The chip layout and package layout are shown, and plans are discussed for future testing of the physical device.

Committee: Ayman Fayed (Advisor); Steven Bibyk (Committee Member); Anant Agarwal (Committee Member) Subjects: Electrical Engineering

Doctor of Philosophy, Case Western Reserve University, 2020, EECS - Electrical Engineering

Methodologies for wireless power transfer (WPT) to implantable medical devices (IMDs) as an attractive solution toward obviating the need for primary battery have continuously evolved over the past decades. Capacitive WPT (C–WPT) is an emerging methodology that offers a higher dynamic range in power delivery when coping with biosafety limits as compared to its ultrasonic and inductive counterparts and introduces a unique advantage of flexible implementation with minimal costs on important link parameters. The C–WPT has been under investigation for delivering moderate-to-high levels of wireless power to centimeter-sized IMDs with an implantation depth of a few millimeters and thus suitable for IMDs in peripheral/autonomic applications. This work, for the first time, presents design and implementation of a complete C–WPT system for subcutaneously-implanted IMDs. That is a multidisciplinary research work involving co-design and co-development of capacitive link across a tissue layer and circuits/systems interfacing with the link on both external and implant sides including CMOS power management integrated circuits (PMICs) that interfaces with capacitive link on the implant side and performs efficient AC-to-DC conversion. One part of this work is focused on modeling, characterization, and development of a bio-safe capacitive link across tissue for C–WPT where an accurate circuit model for capacitive elements is proposed followed by a comprehensive circuit model for a series-resonant capacitive link setup. Electromagnetic simulations via ANSYS HFSS provide further insights into the capacitive link behavior and investigates the biosafety levels of the link. Flexible and conformal implementation of capacitive link on copper substrates is shown for ease of implantation. Following the link characterization, different PMIC designs are shown for capacitively-powered IMDs. First, a frequency-aware CMOS active rectifier IC with dual-loop adaptive delay compensation and (open full item for complete abstract)

Committee: Pedram Mohseni (Advisor); Hossein Miri Lavasani (Committee Member); Farncis Merat (Committee Member); Kevin Kilgore (Committee Member) Subjects: Biomedical Engineering; Biomedical Research; Design; Electrical Engineering; Electromagnetics; Energy; Engineering; Health Care

Doctor of Philosophy, The Ohio State University, 2020, Electrical and Computer Engineering

With the increasing demand for lowering the power consumption, system cost and size of high-performance electronic devices, power supply designers are being challenged to develop unconventional design techniques so that the efficiency and power density of the power supplies used in these systems could be improved to help meet these demands. On the one hand, linear power supplies can be small and cost-effective as they require no inductors. However, their poor efficiency makes them unattractive in terms of lowering the system power consumption. Moreover, the bulky and expensive heat sinks desired to dissipate the heat resulting from their poor efficiency offset their small size and lower cost advantage. On the other hand, switching power supplies offer much higher efficiency, but require bulky and expensive inductors, unless new design techniques are developed to reduce their impact on the system size and cost. To address these challenges, the work presented in this thesis is focused and performed on the development of new design techniques for switching power supplies to target two distinct applications namely, a) CPUs used in high-performance computer servers, and b) battery-operated mobile devices. Designing switching power converters for CPU's in high-performance computer server applications is becoming increasingly difficult. This is because higher performance in a CPU necessitates for the following requirements from switching converter that powers it: (a) higher maximum load current rating, (b) high efficiency across a wider load range, and (c) fast Dynamic Voltage Scaling (DVS). Based on this context, the research work documented in this thesis includes two different high-frequency, high-current switching power converter techniques designed to incorporate the above key parameters. The first proposed technique for high performance CPU applications is a 4-phase buck converter design with maximum load of 8 A. The converter switches at 100 MHz to enable fast dy (open full item for complete abstract)

Committee: Ayman Fayed Dr. (Advisor); Anant Agarwal Dr. (Committee Member); Tawfiq Musah Dr. (Committee Member); Andrea Sims Dr. (Committee Member) Subjects: Electrical Engineering

Doctor of Philosophy (PhD), Ohio University, 2020, Educational Research and Evaluation (Education)

Most evaluation activities are initiated during times of crises when resource constraints compel attention towards using evaluation as a strategy to do more with less. In other words, evaluations tend to gain attention when resources are limited and there is a need to ration the amount of resources that can be invested towards any project or program. However, to leverage evaluation organizations must develop evaluation capacity; which is challenging under resources constraints. The overarching goal of this study is to articulate how Evaluation Capacity Building (ECB) initiatives in a higher education institution, under resource constraints, could be designed and/or aligned to facilitate fulfillment of institutional needs for optimum resource utilization, innovation for cultivating impactful programs, and transformation of culture from a low focus to high focus on evaluation. This goal insinuates examination of existing resources, systems, structures, and opportunities for building evaluation capacity and promoting evaluation activities. Therefore, this dissertation takes a three paper approach where the first paper introduces the idea of Setting up For Evaluation (SFE), a strategy that helps build evaluation capacity while conducting evaluation in a limited resources context. The second paper illustrates the concept of SFE using a case study approach. Finally, the third paper provides aggregated insights into some of the barriers that inhibit evaluation and facilitators that augment evaluation and concludes with recommendations for enhancing evaluation capacity within the research context.

Committee: Krisanna L. Machtmes Ph.D. (Committee Chair); Bradley A. Cohen Ph.D. (Committee Member); Yuchun Zhou Ph.D. (Committee Member); Charles Lowery Ph.D. (Committee Member); Judith L. Millesen Ph.D. (Committee Member) Subjects: Educational Evaluation; Educational Leadership; Higher Education; Higher Education Administration

Master of Science, University of Toledo, 2009, Civil Engineering

Prediction of future pavement conditions is one of the important functions of pavement management systems. They are helpful in determining the rate of roadway network deterioration both at the network-level and project-level management, which forms a major part of engineering decision making and reporting. Network-level management focuses on determination and allocation of funds to maintain the pavement network above a specified operational standard and does not give importance to how the individual pavement sections deteriorate. Therefore, a survival time analysis is determined to predict the remaining service life. At the project-level, engineers make decisions on which pavement to repair, when and how to repair. Therefore, it requires more condition accuracy than network-level. The two adjustment methods proposed by Shahin (1994) and Cook and Kazakov (1987) are often used to obtain more condition prediction at the project-level. Both the Shahin and the Cook and Kazakov models take into account a family average curve in predicting deterioration of individual pavement sections. This prediction is done through the latest available condition-age point of an individual pavement section and does not consider all available data points. This study considers the most commonly used pavement condition prediction models viz. linear regression, polynomial constrained least squares, S-shape and power curve. The prediction accuracy of these four models is compared. Further the prediction accuracy of each of the four models is compared with their respective the Shahin's and the Cook's models to determine whether is it possible to further improve the prediction accuracy error for each of the four models.

Committee: Eddie Y. Chou PhD (Committee Chair); George J. Murnen PhD (Committee Member); Andrew G. Heydinger PhD (Committee Member) Subjects: Civil Engineering; Engineering; Transportation

Ph.D., Antioch University, 2019, Leadership and Change

Four decades of research on power distance have been applied to cross-cultural leadership studies on an inter-national level. A quantitative investigation was conducted to analyze a uniquely American narrative of power distance, which was developed through a post-structural epistemology. Using ANTi-History theory, endorsement of the Great Man Theory was argued to be a leadership ethos that is related to American power distance value. The GLOBE project's Power Distance Subscale, Trompenaars and Hampden-Turner's Achievement Versus Ascription Scale, and an author-developed scale for self-reported endorsement of the Great Man Theory was deployed to investigate culturally contingent leadership ethos on an intra-national level within a representative U.S. American sample. The study was able to validate the Social Authority Scale, using items from the Power Distance Subscale and Achievement Versus Ascription Scale. Demographic measurements of 645 participants from a convenience sample were analyzed to understand how social identity influenced this leadership construct. Significant variations were found based upon American social identities. Implications for intra-national cross-cultural leadership theory are discussed, as well as empirical and theoretical based implications for leadership practitioners. This dissertation is available in open access at AURA: Antioch University Repository and Archive, http://aura.antioch.edu/ and OhioLINK ETD Center, https://etd.ohiolink.edu/

Committee: Lize Booysen DBL (Committee Chair); Carol Baron PhD (Committee Member); Brandelyn Tosolt PhD (Committee Member) Subjects: American Studies; Management; Organization Theory; Social Research

Master of Science (MS), Ohio University, 2019, Electrical Engineering & Computer Science (Engineering and Technology)

Network-on-chip (NoC) continues to be the preferred communication fabric in multicore and manycore architectures as the NoC seamlessly blends the resource efficiency of the bus with the parallelization of the crossbar. However, without adaptable power management the NoC suffers from excessive static power consumption at higher core counts. Static power consumption will increase proportionally as the size of the NoC increases to accommodate higher core counts in the future. NoC also suffers from excessive dynamic energy as traffic loads fluctuate throughout the execution of an application. Power-gating (PG) and Dynamic Voltage and Frequency Scaling (DVFS) are two highly effective techniques proposed in literature to reduce static power and dynamic energy in the NoC respectively. DVFS is a popular technique that allows dynamic energy to be saved but may potentially lead to a loss in throughput. Power-gating allows static power to be saved but can introduce new problems incurred by isolating network routers. Further complications include the introduction of long wake-up delays and break-even times. However, both DVFS and power-gating are critical for realizing energy proportional computing as core counts race into the hundreds for multi-cores. In this thesis, we propose two distinct but related techniques that enable energy proportional computing for NoC. We first propose LEAD - Learning-enabled Energy Aware Dynamic voltage/frequency scaling for NoC architectures. LEAD applies machine learning (ML) techniques to enable improvements in both energy and performance with reduced overhead cost. This allows LEAD to enact a proactive energy management strategy that relies on an offline trained regression model while also providing a wide variety of voltage/frequency (VF) pairs. In this work, we will refer to various VF pairs as modes. LEAD groups each router and the router's outgoing links locally into the same V/F domain allowing energy management at a finer granularity wit (open full item for complete abstract)

Committee: Avinash Karanth (Advisor); Razvan Bunescu (Committee Member); Savas Kaya (Committee Member) Subjects: Computer Engineering; Electrical Engineering

Doctor of Philosophy, The Ohio State University, 2018, Electrical and Computer Engineering

Microcontroller Units (MCUs) are central and essential to many consumer electronic and industrial applications, including communication systems, automotive, and Internet of Things (IoT). Since, these MCUs can be used in various applications with different operating conditions, designing the internal power supply of such MCUs is quite challenging. For example, in some applications the MCUs could be powered from a Li-ion battery while in other application it could be powered from on-board regulator, or even an AC-to-DC adapter. This indeed requires the internal power supply of such MCUs to handle a very wide range of input voltages. In addition, these MCUs typically contains analog and digital circuits that operates from different supply levels. As a result, the internal power supply of the MCU has also to support a wide range of output voltage instead of designing separate power supply for each block which requires additional design and layout efforts. Moreover, depending on the performance requirements of the MCU or the mode of operation, the current consumption can vary very widely. It can be as high as 150-300 mA in active and high performance mode or it can be as low as 10-200 µA in sleep or idle mode. Consequently, the internal power supply of the MCU has to support a wide range of load currents. It is important to mention that since MCUs usually stay more than 50% of their time in sleep mode, the efficiency of their internal power has to be high not only in active mode (heavy load condition), but also in sleep mode (ultra-light load condition). Furthermore, each application puts different limitations and constrains on the passives (i.e. inductors or capacitors) used with the MCU. This includes different size and cost which exaggerate the constrains of the MCU's internal power supply which has to support a very wide range of passive components as well. Most importantly, since some low-noise MCUs usually contain noise sensitive IPs such as PLLs, Oscillators, and (open full item for complete abstract)

Committee: Ayman Fayed (Advisor); Patrick Roblin (Committee Member); Steven Bibyk (Committee Member) Subjects: Electrical Engineering