Miracle-dz/UniFAR-FTUs huggingface dataset:
Validation of Thermal Models for a Prototypical MEMS Thermal Actuator

This report documents technical work performed to complete the ASC Level 2 Milestone 2841: validation of thermal models for a prototypical MEMS thermal actuator. This effort requires completion of the following task: the comparison between calculated and measured temperature profiles of a heated stationary microbeam in air. Such heated microbeams are prototypical structures in virtually all electrically driven microscale thermal actuators. This task is divided into four major subtasks. (1) Perform validation experiments on prototypical heated stationary microbeams in which material properties such as thermal conductivity and electrical resistivity are measured if not known and temperature profiles along the beams are measured as a function of electrical power and gas pressure. (2) Develop a noncontinuum gas-phase heat-transfer model for typical MEMS situations including effects such as temperature discontinuities at gas-solid interfaces across which heat is flowing, and incorporate this model into the ASC FEM heat-conduction code Calore to enable it to simulate these effects with good accuracy. (3) Develop a noncontinuum solid-phase heat transfer model for typical MEMS situations including an effective thermal conductivity that depends on device geometry and grain size, and incorporate this model into the FEM heat-conduction code Calore to enable it to simulate these effects withmore » good accuracy. (4) Perform combined gas-solid heat-transfer simulations using Calore with these models for the experimentally investigated devices, and compare simulation and experimental temperature profiles to assess model accuracy. These subtasks have been completed successfully, thereby completing the milestone task. Model and experimental temperature profiles are found to be in reasonable agreement for all cases examined. Modest systematic differences appear to be related to uncertainties in the geometric dimensions of the test structures and in the thermal conductivity of the polycrystalline silicon test structures, as well as uncontrolled nonuniform changes in this quantity over time and during operation. « less
More Than a Library: An Outline for an Integrated Marketing Communications Campaign

5 Introduction 6 Project Rationale 7 Literature Review 9 Methods 21 Campaign Architecture 25 Conclusion 49 References 52 Appendix A: Sample Video Brochure Script 58 Appendix B: Sample Download for Website 60 Appendix C: Sample Web Article 61 Appendix D: Sample Social Media Content for Posts 63 Appendix E: Sample Content Timeline 65 AN OUTLINE FOR AN INTEGRATED CAMPAIGN 5 MORE THAN A LIBRARY: AN OUTLINE FOR AN INTEGRATED MARKETING COMMUNICATIONS CAMPAIGN Name: Erica MacArthur Department: Communication College: Liberal Arts Degree: Master of Science in Communication & Media Technologies Term Degree Awarded: Spring Semester 2014 (2135)
Performance Improvement of AC-DC Power Factor Correction Converters ForDistributed Power System

In present situation, the increase in the utilization of computers, laptops,uninterruptable power supplies, telecom and bio-medical equipments has become uncontrollable as its growth is rising exponentially. Hence, increase in functionality of such equipments leads to the higher power consumption and low power density which provided a large market to distributed power systems (DPS). The development of these DPS posed challenges to power engineers for an efficient power delivery with stringent regulating standards; this is the motivation and driving force of this research work. The objective is to minimize the switching losses of front-end converters employed in DPS, with the primary aim of achieving nearly unity power factor operation of converters.Single-phase and three-phase rectifiers are increasingly used in the field of alternating current – direct current (AC-DC) power converters as front-end converters in DPS. For power factor correction (PFC) stage, conventional single-phase AC-DC PFC boost converter is the most suitable topology because of its inherent advantages. These PFC boost converters exhibit poor dynamic regulation of output voltage owing to low pass filter in the voltage feedback loop. Research effort has been made to mitigate this problem of AC-DC PFC boost converters. An extended pulse width modulation switching technique has been investigated and proposed especially for single-phase and three-phase AC-DC PFC boost converters to improve the dynamic response of output voltage during transient periods.
Analysis, control and design of walking robots

In this thesis five research questions are discussed that are related to the development of two-legged (bipedal) walking robots. The research questions are categorized in three main topics: analysis, control and actuation and design. The research questions are: � How can we analyze the behavior of a 2D passive dynamic walker that is walking on rough terrain? — An extension to the Poincare mapping is proposed that allows the use of this method on non-flat terrain. � By looking at the robot from a different ‘perspective’, can we gain more insight in its dynamics? — The use of coordinate transformations is discussed, a coordinate-free interpretation of the Zero-Moment Point is given and an analysis of a simplified model of the robot (the ‘locked inertia model’) is given. � How can we control a walking robot in order to stabilize it in the lateral (sideways) direction? — A linear controller which takes advantage of some specific properties of the robot model is introduced, and experimental results of the ‘extrapolated center of mass’ are discussed. � How can we improve the actuators in order to get minimum energy consumption? —A concept is introduced for a new type of actuator which can store negative work mechanically and re-use it later. � How can we improve the knee and ankle joints of a walking robot? — New mechanical designs for the knees of the 2D walking robot Dribbel and the ankles of the 3D walking robot TUlip are proposed. Each chapter of this thesis is based on an article which was published at or submitted to a conference.
Modelling of electromagnetic shielding structures for radiated EMI analysis

Electromagnetic (EM) shielding has been used extensively in electronic products to reduce the radiated electromagnetic interference (EMI) from high-speed digital circuits so that the products could comply with the international EMI regulatory limits. Good estimation of EM shielding for a wide frequency band is an important area of the product design. Unfortunately, estimation of EM shielding is a complex problem because of many factors, such as distance between the shield and the EMI source, nature of the EMI source, location of the source, cavity resonance, frequency and aperture sizes, etc., could influence the shielding effectiveness of a shield. Due to the complexity, in many cases, it is difficult to estimate EM shielding based on analytical or semi-analytical methods. In this thesis, an electromagnetic code, based on the Method of Moments (MoM) technique, is developed and validated. Its capability to study EMI issues related to enclosure shielding and heat sink has been demonstrated. i ATTENTION: The Singapore Copyright Act applies to the use of this document. Nanyang Technological University Library
A DC Distribution System for Power System Integration of Plug-In Electric Vehicles; Modeling, Stability and Operation

This thesis is mainly focused on (i) modeling of dc distribution systems for power system integration of plug-in electric vehicles (PEVs), (ii) proposing a method to enhance the stability of the dc distribution systems, and (iii) proposing an energy management strategy to control the power flow in the dc distribution system. The dc distribution system is expected to be more efficient and economical than a system of ac-dc battery chargers directly interfaced with an ac grid. In the first part, a systematic method for developing a model for a dc distribution system, based on the configuration of the system is proposed. The developed model is of the matrix form and, therefore, can readily be expanded to represent a dc distribution system of any desired number of dc-dc converters. The model captures both the steadystate and dynamic characteristics of the system, and includes the port capacitors of the converters, as well as the interconnection cables. Thus, it can be used for identifying the condition for the existence of a steady state, as well as for stability analysis. In the second part, the thesis proposes a method for enhancing the stability of the dc distribution system. Using a nonlinear control strategy, the proposed stability enhancement method mitigates the issue of instability by altering the power setpoints of the battery chargers, bidirectional dc-dc converters, without a need for changing system parameters or hardware. The thesis presents mathematical models for the original and modified systems and demonstrates that the proposed technique expands the stable operating region of the dc distribution system. The thesis further proposes an energy management strategy (EMS) for the dc distribution system. Using an on-line constrained optimization algorithm, the proposed EMS offers two energy exchange options to the PEV owners: (1) The fast energy exchange option for the owners wishing to minimize the energy exchange time and (2) The optimal energy exchange option for the owners intend to either minimize their costs of charging or maximize their revenues through selling their stored energy. The proposed EMS seamlessly handles all charging/discharging requests from the PEV owners with different options.
Industrially-situated project-based learning : a study of feedback and diffusion

approved: _____________________________________________________ Milo D. Koretsky The Virtual Chemical Vapor Deposition (CVD) Process Development Project provides the context for the two areas of the research presented in this dissertation. The first area, generally referred to as feedback in this dissertation, focuses on student learning and the interactions of students and instructors that take place in the project, specifically focused on characterizing feedback and determining the influence of feedback as student teams progress towards completing the project. The characteristics of feedback found in this project are presented within a situative perspective using the analytical framework of episodes. The characteristics include: a list and categorization of episode themes, the structure and flow of episodes during the coaching session, the sub-structure present within individual episodes, and the types of feedback present. This dissertation shows how these characteristics frame participation in a community of practice and can be used as tools to scaffold instructor feedback in project-based learning. Episodes analysis is also used to investigate how feedback on professional skills can help to enculturate students into a community of practice and influence their fluency with professional skills and engagement in more technical activities. The second area examines the spread of this innovative project from its home institution to other institutions. In this area an analysis of the spread of the Virtual CVD Process Development Project in the high school setting is presented. The project was found to provide versatility for instructors and afford student learning in the areas of motivation, cognition, and epistemological beliefs. These two areas inform each other. As the project is assessed at different institutions, it is continually improved and the sensitivity of different aspects of the project is explored, e.g., the aspects of the project that are crucial to maintain effectiveness are identified. One of these aspects is the feedback that takes place in the project. As the project is further examined at the home institution in depth, more can be learned about the best ways it can be delivered. This information informs scaffolding that then can be provided to faculty at other institutions such that they can attend to crucial aspects of the project in the most efficient, effective manner, improving not only the probability of successful adaptation, but also the likelihood that the project will further diffuse to other institutions. ©Copyright by Debra M. Gilbuena March 18, 2013 All Rights Reserved Industrially-Situated Project-Based Learning: A Study of Feedback and Diffusion by Debra M. Gilbuena A DISSERTATION submitted to Oregon State University in partial fulfillment of the requirements for the degree of Doctor of Philosophy Presented March 18, 2013 Commencement June 2013 Doctor of Philosophy dissertation of Debra M. Gilbuena presented on March 18, 2013.
Socially Aware Device-to-multi-device User Grouping for Popular Content Distribution

The distribution of popular videos incurs a large amount of traffic at the base stations (BS) of networks. Device-to-multi-device (D2MD) communication has emerged an efficient radio access technology for offloading BS traffic in recent years. However, traditional studies have focused on synchronous user requests whereas asynchronous user requests are more common. Hence, offloading BS traffic in case of asynchronous user requests while considering their time-varying characteristics and the quality of experience (QoE) of video request users (VRUs) is a pressing problem. This paper uses social stability (SS) and video loading duration (VLD)- tolerant property to group VRUs and seed users (SUs) to offload BS traffic. We define the average amount of data transmission (AADT) to measure the network’s capacity for offloading BS traffic. Based on this, we formulate a time-varying bipartite graph matching optimization problem. We decouple the problem into two subproblems which can be solved separately in terms of time and space. Then, we propose the socially aware D2MD user selection (SA-D2MD-S) algorithm based on finite horizon optimal stopping theory, and propose the SA-D2MD user matching (SA-D2MD-M) algorithm to solve the two subproblems. The results of simulations show that our algorithms outperform prevalent algorithms.
Are Peruvian manufacturing firms product-based or service-based businesses? Effects of innovation activities, employee level of education and firm size

ABSTRACT Using survey data from 1438 Peruvian manufacturing firms, we explore multiple and simultaneous relationships between the effects of innovation activities, employee level of education, and the firm size on manufacturing firms’ innovation outcomes. We find that there is a positive relationship between innovation activities, employee level of education, and firm size. In addition, innovation activities have direct and positive effects on product and service innovation. However, employee level of education has positive indirect effects, especially on product innovation. The study also highlights that there is a negative direct relationship between size and service innovation. Thus, it is important to establish public policies aimed to promote service innovation in manufacturing firms, with specific support for small firms.
Herding Behavior in Corporate Bond and Equity Markets: A Comparative Approach

This study investigates and compares herding in US corporate bond and equity markets between January 2008 and December 2018. Our initial unconditional tests detect significant herding in speculative grade (high yield) corporate bonds only. However, once we condition on market liquidity and volatility, we find significant asymmetric herding behavior in both markets and their credit rating portfolios (investment grade, high yield and non-rated). The results suggest that investors are inclined to collectively herd towards the market consensus during high market liquidity and low volatility days. Interestingly, the herding effects are more pronounced in corporate bonds in comparison to equities. The findings are robust through the Subprime mortgage crisis and post crisis periods, and hold even after conditioning for both liquidity and volatility market states, simultaneously. Our further tests also provide new empirical evidence of the existence of herding spillovers from US corporate bonds to US equities, where the spillover effect seem to be one sided and time-period specific (during the crisis).
Optimization Methods for Power Allocation and Interference Coordination Simultaneously with MIMO and Full Duplex for Multi-Robot Networks

The present work addresses the challenging problem of coordinating power allocation with interference management in multi-robot networks by applying the promising expansion capabilities of multiple-input multiple-output (MIMO) and full duplex systems, which achieves it for maximizing the throughput of networks under the impacts of Doppler frequency shifts and external jamming. The proposed power allocation with interference coordination formulation accounts for three types of the interference, including cross-tier, co-tier, and mixed-tier interference signals with cluster head nodes operating in different full-duplex modes, and their signal-to-noise-ratios are respectively derived under the impacts of Doppler frequency shifts and external jamming. In addition, various optimization algorithms, including two centralized iterative optimization algorithms and three decentralized optimization algorithms, are applied for solving the complex and non-convex combinatorial optimization problem associated with the power allocation and interference coordination. Simulation results demonstrate that the overall network throughput increases gradually to some degree with increasing numbers of MIMO antennas. In addition, increasing the number of clusters to a certain extent increases the overall network throughput, although internal interference becomes a severe problem for further increases in the number of clusters. Accordingly, applications of multi-robot networks require that a balance should be preserved between robot deployment density and communication capacity.
MODEL-DRIVEN DESIGN: SYSTEMATICALLY BUILDING INTEGRATED BLENDED LEARNING EXPERIENCES

Developing and delivering curricula that are integrated and that use blended learning techniques requires a highly orchestrated design.While institutions have demonstrated the ability to design complex curricula on an ad-hoc basis, these projects are generally successful at a great human and capital cost.Model-driven design provides a sustainable approach that reduces some of the cost of complex curriculum development and improves the sustainability of curriculum innovation.Systems thinking is a perspective for going beyond events, to looking for patterns of behavior, and to seeking underlying systemic interrelationships which are responsible for the patterns of behavior and the events. Model-driven design provides the ability to share models and learning units beyond the borders of the institution.
Decision making for bridge stock management

Bridges in service in most Western Countries were built according to codes with design loads that are now inconsistent with today’s traffic demands. Currently, transportation agencies do not know how to respond to transit applications on their bridges. This thesis focuses on the legal issues entailed by overweight/oversize load permits issued by transportation agencies. Indeed, correct decision-making should consider the legal liabilities involved in possible catastrophic events. In this thesis I illustrate how this problem is guided by the Department of Transportation of the Italian Autonomous Province of Trento (APT’s DoT), a medium-sized agency managing approximately one thousand bridges across its territory. In the basic approach, it does not authorize movement of overweight loads unless it is demonstrated that their effect is less than that of the nominal design load. When this condition is not satisfied, a formal evaluation is carried out in an attempt to assess a higher load rating for the bridge. If, after the reassessment, the rating is still insufficient, the bridge is classified as sub-standard and a formal evaluation of the operational risk is performed to define a priority ranking for future reinforcement or replacement.
Methods for in-flight robustness evaluation

The goal of this program was to combine modern control concepts with new identification techniques to develop a comprehensive package for estimation of 'robust flutter boundaries' based on experimental data. The goal was to use flight data, combined with a fundamental physical understanding of flutter dynamics, to generate a prediction of flutter speed and an estimate of the accuracy of the prediction. This report is organized as follows: the specific contributions of this project will be listed first. Then, the problem under study will be stated and the general approach will be outlined. Third, the specific system under study (F- 18 SRA) will be described and a preliminary data analysis will be performed. Then, the various steps of the flutter boundary determination will be outlined and applied to tile F-18 SRA data and others.
Optimization of flicker noise in eng application

Since the electroneurogram signal measured from cuff electrodes is typically on the order of 100µV, a very low-noise interface is essential. This paper describes input noise of fully differential amplifier as a function of area and current, and extracts the minimum noise for a constant total area and current. Thermal noise and flicker noise of both input transistor and load transistor are separately extracted. Therefore, with minimum value of current and area specific noise levels are extracted. A Comparison between noise of fully differential amplifier with nmosinput and pmos-input is also performed.
Denoising applied to spectroscopies – part I: concept and limits

Abstract Some spectroscopies are intrinsically poorly sensitive, such as nuclear magnetic resonance (NMR) and Raman spectroscopy. This drawback can be overcome by using singular value decomposition (SVD) and low-rank approximation to denoise spectra and consequently increase sensitivity. However, SVD limits have not been deeply investigated until now. We applied SVD to NMR and Raman spectra and showed that best results were obtained with a square data set in time domain. Automatic thresholding was applied using Malinowski’s indicators. 6 × 7380 noisy spectra with 41 signal-to-noise ratios were compared to their non-noisy counterparts, highlighting that SVD induces a systematic error for Gaussian peaks but faithfully reproduces shape of Lorentzian peaks, thus allowing quantification. Used carefully, SVD can decrease experimental time by a factor of 2.3 for spectroscopies. This study may help scientists to apply SVD to denoise spectra in a more efficient way, without falling into pitfalls.