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Student Citizens: Whiteness, Inequality, and Social Reproduction in Marketized Music Education
Music education policy and administration attempts to shape the musical sensibilities of young people. Yet the logics of music education from a socioeconomic standpoint are inadequately understood. This dissertation focuses on the relationship between music education nonprofits and public schools and on the public and private policies that have shaped the formation and perpetuation of these relationships. I analyze the logics of policy documents alongside the discourses and narratives of private organizations that support music education within the specific contexts of New Jersey, a state that mandates music education access for all students, and the COVID-19 pandemic, which has exacerbated societal inequalities, to illuminate how policy makers and administrators shape student experiences in the proto-democratic space of the classroom.
I use policy analysis and institutional ethnography, approaching data primarily through the lenses of neoliberal critiques of marketization, critical whiteness studies, and analyses of the intersection of class and race, which I outline in chapter one. I also consider the design of music education programs within the theoretical framework of culturally relevant pedagogy. Education systems are adapting to shifting racial discourses as schools continue to construct citizens within racialized and classed hierarchies. Music historically has been invoked in the construction of societal stratifications to mark ethnic and cultural boundaries.
In chapter two, I examine these narratives that have shaped the formation of music education in the United States as a culturally hegemonizing force and persist in debates around the purpose of music education in under-resourced schools that mainly serve students from minoritized communities. Music education remains a site at which policy makers, administrators, educators, and community members negotiate the role of culture in shaping new citizens. State music education policy in New Jersey specifically struggles to support the progressive vision it professes as it continues to suggest a strongly hegemonic curriculum and perpetually underfunds music programs in schools.
Within this context, the third chapter considers how funders and advocacy groups are so frequently focused on short-term funding needs that they persistently struggle to address systemic issues in music education, such as issues with administrations that do not represent the communities being served, colonial content and pedagogy, and unsustainable funding solutions. As such, the limited services and non-democratic leadership of privately funded music education programs in public schools reinforce the role of public schools as gate-keepers of exclusionary citizenship norms. At the same time, privatization has also opened opportunities for non-normative, anti-oppressive forms of music pedagogy to enter public schools. In the fourth chapter, I investigate how, though their very existence reinforces the marketizing trends that rank and exclude, some nonprofits do attempt to serve students in culturally relevant ways within this environment, and can even work in ways that support publicly funded programs.
Altogether, my research provides insight into the role that the privatization of public spaces within neoliberalism plays in the formation and reproduction of classed and raced citizens, as policy makers, funders, and program administrators determine which young people are given access to which forms of education
Virtual Model Building for Multi-Axis Machine Tools Using Field Data
Accurate machine dynamic models are the foundation of many advanced machining technologies such as virtual process planning and machine condition monitoring. Viewing recent designs of modern high-performance machine tools, to enhance the machine versatility and productivity, the machine axis configuration is becoming more complex and diversified, and direct drive motors are more commonly used. Due to the above trends, coupled and nonlinear multibody dynamics in machine tools are gaining more attention. Also, vibration due to limited structural rigidity is an important issue that must be considered simultaneously. Hence, this research aims at building high-fidelity machine dynamic models that are capable of predicting the dynamic responses, such as the tracking error and motor current signals, considering a wide range of dynamic effects such as structural flexibility, inter-axis coupling, and posture-dependency.
Building machine dynamic models via conventional bottom-up approaches may require extensive investigation on every single component. Such approaches are time-consuming or sometimes infeasible for the machine end-users. Alternatively, as the recent trend of Industry 4.0, utilizing data via Computer Numerical Controls (CNCs) and/or non-intrusive sensors to build the machine model is rather favorable for industrial implementation. Thus, the methods proposed in this thesis are top-down model building approaches, utilizing available data from CNCs and/or other auxiliary sensors. The achieved contributions and results of this thesis are summarized below.
As the first contribution, a new modeling and identification technique targeting a closed-loop control system of coupled rigid multi-axis feed drives has been developed. A multi-axis closed-loop control system, including the controller and the electromechanical plant, is described by a multiple-input multiple-output (MIMO) linear time-invariant (LTI) system, coupled with a generalized disturbance input that represents all the nonlinear dynamics. Then, the parameters of the open-loop and closed-loop dynamic models are respectively identified by a strategy that combines linear Least Squares (LS) and constrained global optimization. This strategy strikes a balance between model accuracy and computational efficiency. This proposed method was validated using an industrial 5-axis laser drilling machine and an experimental feed drive, achieving 2.38% and 5.26% root mean square (RMS) prediction error, respectively. Inter-axis coupling effects, i.e., the motion of one axis causing the dynamic responses of another axis, are correctly predicted. Also, the tracking error induced by motor ripple and nonlinear friction is correctly predicted as well.
As the second contribution, the above proposed methodology is extended to also consider structural flexibility, which is a crucial behavior of large-sized industrial 5-axis machine tools. More importantly, structural vibration is nonlinear and posture-dependent due to the nature of a multibody system. In this thesis, prominent cases of flexibility-induced vibrations in a linear feed drive are studied and modeled by lumped mass-spring-damper system. Then, a flexible linear drive coupled with a rotary drive is systematically analyzed. It is found that the case with internal structural vibration between the linear and rotary drives requires an additional motion sensor for the proposed model identification method. This particular case is studied with an experimental setup.
The thesis presents a method to reconstruct such missing internal structural vibration using the data from the embedded encoders as well as a low-cost micro-electromechanical system (MEMS) inertial measurement unit (IMU) mounted on the machine table. It is achieved by first synchronizing the data, aligning inertial frames, and calibrating mounting misalignments. Finally, the unknown internal vibration is reconstructed by comparing the rigid and flexible machine kinematic models. Due to the measurement limitation of MEMS IMUs and geometric assembly error, the reconstructed angle is unfortunately inaccurate. Nevertheless, the vibratory angular velocity and acceleration are consistently reconstructed, which is sufficient for the identification with reasonable model simplification.
Finally, the reconstructed internal vibration along with the gathered servo data are used to identify the proposed machine dynamic model. Due to the separation of linear and nonlinear dynamics, the vibratory dynamics can be simply considered by adding complex pole pairs into the MIMO LTI system. Experimental validation shows that the identified model is able to predict the dynamic responses of the tracking error and motor force/torque to the input command trajectory and external disturbances, with 2% ~ 6% RMS error. Especially, the vibratory inter-axis coupling effect and posture-dependent effect are accurately depicted.
Overall, this thesis presents a dynamic model-building approach for multi-axis feed drive assemblies. The proposed model is general and can be configured according to the kinematic configuration. The model-building approach only requires the data from the servo system or auxiliary motion sensors, e.g., an IMU, which is non-intrusive and in favor of industrial implementation. Future research includes further investigation of the IMU measurement, geometric error identification, validation using more complicated feed drive system, and applications to the planning and monitoring of 5-axis machining process
Magnetic Material Modelling of Electrical Machines
The need for electromechanical energy conversion that takes place in electric motors, generators, and actuators is an important aspect associated with current development. The efficiency and effectiveness of the conversion process depends on both the design of the devices and the materials used in those devices. In this context, this book addresses important aspects of electrical machines, namely their materials, design, and optimization. It is essential for the design process of electrical machines to be carried out through extensive numerical field computations. Thus, the reprint also focuses on the accuracy of these computations, as well as the quality of the material models that are adopted. Another aspect of interest is the modeling of properties such as hysteresis, alternating and rotating losses and demagnetization. In addition, the characterization of materials and their dependence on mechanical quantities such as stresses and temperature are also considered. The reprint also addresses another aspect that needs to be considered for the development of the optimal global system in some applications, which is the case of drives that are associated with electrical machines
Advances in Methane Production from Coal, Shale and Other Tight Rocks
This collection reports on the state of the art in fundamental discipline application in hydrocarbon production and associated challenges in geoengineering activities. Zheng et al. (2022) report an NMR-based method for multiphase methane characterization in coals. Wang et al. (2022) studied the genesis of bedding fractures in Ordovician to Silurian marine shale in the Sichuan basin. Kang et al. (2022) proposed research focusing on the prediction of shale gas production from horizontal wells. Liang et al. (2022) studied the pore structure of marine shale by adsorption method in terms of molecular interaction. Zhang et al. (2022) focus on the coal measures sandstones in the Xishanyao Formation, southern Junggar Basin, and the sandstone diagenetic characteristics are fully revealed. Yao et al. (2022) report the source-to-sink system in the Ledong submarine channel and the Dongfang submarine fan in the Yinggehai Basin, South China Sea. There are four papers focusing on the technologies associated with hydrocarbon productions. Wang et al. (2022) reported the analysis of pre-stack inversion in a carbonate karst reservoir. Chen et al. (2022) conducted an inversion study on the parameters of cascade coexisting gas-bearing reservoirs in coal measures in Huainan. To ensure the safety CCS, Zhang et al (2022) report their analysis of available conditions for InSAR surface deformation monitoring. Additionally, to ensure production safety in coal mines, Zhang et al. (2022) report the properties and application of gel materials for coal gangue control
Modeling and Simulation in Engineering
The Special Issue Modeling and Simulation in Engineering, belonging to the section Engineering Mathematics of the Journal Mathematics, publishes original research papers dealing with advanced simulation and modeling techniques. The present book, “Modeling and Simulation in Engineering I, 2022”, contains 14 papers accepted after peer review by recognized specialists in the field. The papers address different topics occurring in engineering, such as ferrofluid transport in magnetic fields, non-fractal signal analysis, fractional derivatives, applications of swarm algorithms and evolutionary algorithms (genetic algorithms), inverse methods for inverse problems, numerical analysis of heat and mass transfer, numerical solutions for fractional differential equations, Kriging modelling, theory of the modelling methodology, and artificial neural networks for fault diagnosis in electric circuits. It is hoped that the papers selected for this issue will attract a significant audience in the scientific community and will further stimulate research involving modelling and simulation in mathematical physics and in engineering
American Literatures After 1865
This work was created as part of the University Libraries’ Open Educational Resources Initiative at the University of Missouri–St. Louis.
A web version of this text can be found at https://umsystem.pressbooks.pub/ala1865/.
This book is an anthology of American Literatures After 1865, a new revision of the open educational resource entitled Writing the Nation: A Concise Introduction to American Literature 1865 to Present. It contains works that have been newly introduced to the public domain and provides direct links to reading materials that can be borrowed for free from Archive.org
KYT2022 Finnish Research Programme on Nuclear Waste Management 2019–2022 : Final Report
KYT2022 (Finnish Research Programme on Nuclear Waste Management 2019–2022), organised by the Ministry of Economic Affairs and Employment, was a national research programme with the objective to ensure that the authorities have sufficient levels of nuclear expertise and preparedness that are needed for safety of nuclear waste management.
The starting point for public research programs on nuclear safety is that they create the conditions for maintaining the knowledge required for the continued safe and economic use of nuclear energy, developing new know-how and participating in international collaboration.
The content of the KYT2022 research programme was composed of nationally important research topics, which are the safety, feasibility and acceptability of nuclear waste management.
KYT2022 research programme also functioned as a discussion and information-sharing forum for the authorities, those responsible for nuclear waste management and the research organizations, which helped to make use of the limited research resources. The programme aimed to develop national research infrastructure, ensure the continuing availability of expertise, produce high-level scientific research and increase general knowledge of nuclear waste management
Model Reporting for Certifiable AI: A Proposal from Merging EU Regulation into AI Development
Despite large progress in Explainable and Safe AI, practitioners suffer from
a lack of regulation and standards for AI safety. In this work we merge recent
regulation efforts by the European Union and first proposals for AI guidelines
with recent trends in research: data and model cards. We propose the use of
standardized cards to document AI applications throughout the development
process. Our main contribution is the introduction of use-case and operation
cards, along with updates for data and model cards to cope with regulatory
requirements. We reference both recent research as well as the source of the
regulation in our cards and provide references to additional support material
and toolboxes whenever possible. The goal is to design cards that help
practitioners develop safe AI systems throughout the development process, while
enabling efficient third-party auditing of AI applications, being easy to
understand, and building trust in the system. Our work incorporates insights
from interviews with certification experts as well as developers and
individuals working with the developed AI applications.Comment: 54 pages, 1 figure, to be submitte
Synopsis of lectures on the subject "Operation and maintenance of machines" for students of all forms of study Direction of preparation 131 " Applied mechanics"
1. BASIC TERMS AND CONCEPTS USED TECHNOLOGICAL
MAINTENANCE
5
2. EQUIPMENT FAIURES 17
3. MACHINE CLASSIFICATION BY MAIN OPERATING
CHARACTERISTICS
28
4. STRUCTURE AND PERIODICITY OF PLANNED
MAINTENANCE AND REPAIR OF EQUIPMENT
39
5. PROCEDURE FOR INSTALLING MACHINES FOR
OPERATION
46
6. TESTING OF MANUFACTURING EQUIPMENT 61
7. SYSTEMS OF TECHNICAL DIAGNOSTICS OF AUTOMATED
MACHINES
73
8. OPERATION OF ASSEMBLY MACHINES AND AUTOMATIC
LINES
80
9. TYPES OF WEAR AND DEFECTS OF MACHINE PARTS AND
ASSEMBLIES. DETECTION OF DEFECTS, REPAIR AND
MODERNIZATION OF MACHINES
104
10. LITERATURE 11
Loading on a wind turbine high-speed shaft gearbox bearing : ultrasonic field measurements and predictions from a multi-body simulation
Wind turbine gearbox failures, many of which result from load-driven rolling element bearing failures, account for long downtimes and high maintenance costs. Non-invasive, in-situ measurement of bearing roller loads using ultrasound facilitates better understanding of the load history and failure mechanisms these gearbox bearings experience. In this study, ultrasonic load measurements from an instrumented high-speed shaft bearing were compared against results from a static multibody simulation. Measurements taken under steady operating conditions were found to agree well with the model. After quantification of the error in ultrasonic measurements the model enabled identification of load outliers which were attributed to transient events. Over- and under-loading instances may act to promote a variety of failure mechanisms, leading to premature bearing failure
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