Communication‐less Synchronous Rectification for In Motion Wireless Charging

This thesis puts forward a control scheme to allow for synchronous rectification for dynamic wireless power transfer. The automotive industry is transitioning away from internal combustion engines (ICEs) and towards electric vehicles (EVs). This transition is spurred by the environmental and economic benefits EVs offer over ICEs. However, further improvements can still be made to how electric vehicles operate. One of these improvements is the technology of in motion wireless charging or dynamic wireless power transfer. In motion wireless charging offers the ability to remove existing range anxiety concerns for EVs. It also offers the potential for a reduction in battery sizes for EVs, which are the primary cost of EVs, this in turn decreases the total costs of mass EV adoption. Traditional implementations of in motion wireless charging utilize passive rectification to simplify controls between embedded primary pads and the vehicle. However, this solution while effective, limits the potential benefits of wireless charging. The use of synchronous or active rectification techniques, offer improved performance, control techniques, and bidirectional capabilities. However, the reason synchronous rectification is not already used in in motion charging is the complexity of synchronization over wireless communication. To move past this challenge, this thesis investigates a synchronization scheme that can be achieved without communication by taking advantage of induced free resonant currents in the vehicle’s tuning network to synchronize the switching transitions to receive power. In this thesis a traditional in motion wireless charging system utilizing passive rectification is designed and built as a benchmark for dynamic charging. Simulations of this control scheme are presented. Practical considerations are addressed for hardware realization. Finally, the control approach is validated through hardware in static and dynamic applications

Dam builders and their works: Beaver influences on the structure and function of river corridor hydrology, geomorphology, biogeochemistry and ecosystems

Beavers (Castor fiber, Castor canadensis) are one of the most influential mammalian ecosystem engineers, heavily modifying river corridor hydrology, geomorphology, nutrient cycling, and ecosystems. As an agent of disturbance, they achieve this first and foremost through dam construction, which impounds flow and increases the extent of open water, and from which all other landscape and ecosystem impacts follow. After a long period of local and regional eradication, beaver populations have been recovering and expanding throughout Europe and North America, as well as an introduced species in South America, prompting a need to comprehensively review the current state of knowledge on how beavers influence the structure and function of river corridors. Here, we synthesize the overall impacts on hydrology, geomorphology, biogeochemistry, and aquatic and terrestrial ecosystems. Our key findings are that a complex of beaver dams can increase surface and subsurface water storage, modify the reach scale partitioning of water budgets, allow site specific flood attenuation, alter low flow hydrology, increase evaporation, increase water and nutrient residence times, increase geomorphic heterogeneity, delay sediment transport, increase carbon, nutrient and sediment storage, expand the extent of anaerobic conditions and interfaces, increase the downstream export of dissolved organic carbon and ammonium, decrease the downstream export of nitrate, increase lotic to lentic habitat transitions and aquatic primary production, induce ‘reverse’ succession in riparian vegetation assemblages, and increase habitat complexity and biodiversity on reach scales. We then examine the key feedbacks and overlaps between these changes caused by beavers, where the decrease in longitudinal hydrologic connectivity create ponds and wetlands, transitions between lentic to lotic ecosystems, increase vertical hydraulic exchange gradients, and biogeochemical cycling per unit stream length, while increased lateral connectivity will determine the extent of open water area and wetland and littoral zone habitats, and induce changes in aquatic and terrestrial ecosystem assemblages. However, the extent of these impacts depends firstly on the hydro-geomorphic landscape context, which determines the extent of floodplain inundation, a key driver of subsequent changes to hydrologic, geomorphic, biogeochemical, and ecosystem dynamics. Secondly, it depends on the length of time beavers can sustain disturbance at a given site, which is constrained by top down (e.g. predation) and bottom up (e.g. competition) feedbacks, and ultimately determines the pathways of river corridor landscape and ecosystem succession following beaver abandonment. This outsized influence of beavers on river corridor processes and feedbacks is also fundamentally distinct from what occurs in their absence. Current river management and restoration practices are therefore open to re-examination in order to account for the impacts of beavers, both positive and negative, such that they can potentially accommodate and enhance the ecosystem engineering services they provide. It is hoped that our synthesis and holistic framework for evaluating beaver impacts can be used in this endeavor by river scientists and managers into the future as beaver populations continue to expand in both numbers and range

Adapt Or Die: Polynomial Lower Bounds For Non-Adaptive Dynamic Data Structures

In this paper, we study the role non-adaptivity plays in maintaining dynamic data structures. Roughly speaking, a data structure is non-adaptive if the memory locations it reads and/or writes when processing a query or update depend only on the query or update and not on the contents of previously read cells. We study such non-adaptive data structures in the cell probe model. The cell probe model is one of the least restrictive lower bound models and in particular, cell probe lower bounds apply to data structures developed in the popular word-RAM model. Unfortunately, this generality comes at a high cost: the highest lower bound proved for any data structure problem is only polylogarithmic (if allowed adaptivity). Our main result is to demonstrate that one can in fact obtain polynomial cell probe lower bounds for non-adaptive data structures. To shed more light on the seemingly inherent polylogarithmic lower bound barrier, we study several different notions of non-adaptivity and identify key properties that must be dealt with if we are to prove polynomial lower bounds without restrictions on the data structures. Finally, our results also unveil an interesting connection between data structures and depth-2 circuits. This allows us to translate conjectured hard data structure problems into good candidates for high circuit lower bounds; in particular, in the area of linear circuits for linear operators. Building on lower bound proofs for data structures in slightly more restrictive models, we also present a number of properties of linear operators which we believe are worth investigating in the realm of circuit lower bounds

Political Ecology

Environmental legislation is commonly accepted as an altruistic approach to land management. A closer examination however, reveals that political incentives and flawed arguments consistently shape U.S. environmental policy at high public costs. As student fellows at the Institute of Political Economy at Utah State University, we have had the opportunity to research this subject under the direction of Professor Randy Simmons. Political Ecology is his upcoming book that explores a variety of environmental policies, the incentives that created them, and their effects on both public lands and taxpayers. Our research contributions to this overall project specifically explore three separate case studies: the Federal Land Management Policy Act, the Clean Air Act, and the Energy Policy Act of 2005. Altogether, it is our hope that the analysis and case studies presented will provide policy makers and the general public with needed information in regards to current and future U.S. environmental policy

Utah State University Extension Farm and Ranch Succession Program

The transition process of farms and ranches presents many unique challenges to producers. In response, Utah State University (USU) Extension has leveraged resources developed by other states to form a farm succession team to provide a unique Extension-driven program that offers educational training, tools, and strategies for Utah farm and ranch producers

Esophageal cancer's 100 most influential manuscripts: a bibliometric analysis

Bibliometric analysis highlights key topics and publications that have shaped the understanding and management of esophageal cancer (EC). Here, the 100 most cited manuscripts in the field of EC are analyzed. The Thomson Reuters Web of Science database with the search terms ‘esophageal cancer’ or ‘esophageal carcinoma’ or ‘oesophageal cancer’ or ‘oesophageal carcinoma’ or ‘gastroscopy’ was used to identify all English language full manuscripts for the study. The 100 most cited papers were further analyzed by topic, journal, author, year, and institution. A total of 121,556 eligible papers were returned and the median (range) citation number was 406.5 (1833 to 293). The most cited paper focused on the role of perioperative chemotherpy in EC (1833 citations). Gastroenterology published the highest number of papers (n = 15, 6362 citations) and The New England Journal of Medicine received the most citations (n = 12, 12125 citations). The country and year with the greatest number of publications were the USA (n = 50), and 1998, 1999, and 2000 (n = 7). The most ubiquitous topic was the pathology of EC (n = 66) followed by management of EC (n = 54), and studies related to EC prognosis (n = 44). The most cited manuscripts highlighted the pathology, management, and prognosis of EC and this bibliometirc review provides the most influential references serving as a guide to popular research themes