Miracle-dz/UniFAR-FTUs huggingface dataset:
Multidelity methods for multidisciplinary system design

Optimization of multidisciplinary systems is critical as slight performance improvements can provide significant benefits over the system’s life. However, optimization of multidisciplinary systems is often plagued by computationally expensive simulations and the need to iteratively solve a complex coupling-relationship between subsystems. These challenges are typically severe enough as to prohibit formal system optimization. A solution is to use multifidelity optimization, where other lower-fidelity simulations may be used to approximate the behavior of the higher-fidelity simulation. Low-fidelity simulations are common in practice, for instance, simplifying the numerical simulations with additional physical assumptions or coarser discretizations, or creating direct metamodels such as response surfaces or reduced order models. This thesis offers solutions to two challenges in multidisciplinary system design optimization: developing optimization methods that use the high-fidelity analysis as little as possible but ensure convergence to a high-fidelity optimal design, and developing methods that exploit multifidelity information in order to parallelize the optimization of the system and reduce the time needed to find an optimal design. To find high-fidelity optimal designs, Bayesian model calibration is used to improve lowfidelity models and systematically reduce the use of high-fidelity simulation. The calibrated low-fidelity models are optimized and using appropriate calibration schemes convergence to a high-fidelity optimal design is established. These calibration schemes can exploit highfidelity gradient information if available, but when not, convergence is still demonstrated for a gradient-free calibration scheme. The gradient-free calibration is novel in that it enables rigorous optimization of high-fidelity simulations that are black-boxes, may fail to provide a solution, contain some noise in the output, or are experimental. In addition, the Bayesian approach enables us to combine multiple low-fidelity simulations to best estimate the highfidelity function without nesting. Example results show that for both aerodynamic and structural design problems this approach leads to about an 80% reduction in the number of high-fidelity evaluations compared with single-fidelity optimization methods. To enable parallelized multidisciplinary system optimization, two approaches are developed. The first approach treats the system design problem as a bilevel programming problem and enables each subsystem to be designed concurrently. The second approach optimizes
Investigating larynx height with an articulatory speech synthesizer

In this paper, we present a comparative study of natural and synthetic speech samples which vary in larynx height. The acoustics of isolated vowels was analyzed with respect to formant frequency changes and changes in voice quality. The synthetic stimuli show the same characteristics as the natural stimuli when special attention is paid to the synthetic excitation quality. One issue addressed behind this study is how the naturalness of speech synthesis can be improved by manipulating voice quality. Another issue is to find out how well the articulatory speech synthesizer used matches the real speech production process.
The Power of Habit: Why We Do What We Do, and How to Change

In "The Power of Habit", award-winning "New York Times" business reporter Charles Duhigg takes us to the thrilling edge of scientific discoveries that explain why habits exist and how they can be changed. With penetrating intelligence and an ability to distill vast amounts of information into engrossing narratives, Duhigg brings to life a whole new understanding of human nature and its potential for transformation. Along the way we learn why some people and companies struggle to change, despite years of trying, while others seem to remake themselves overnight. We visit laboratories where neuroscientists explore how habits work and where, exactly, they reside in our brains. We discover how the right habits were crucial to the success of Olympic swimmer Michael Phelps, Starbucks CEO Howard Schultz, and civil-rights hero Martin Luther King, Jr. We go inside Procter & Gamble, Target superstores, Rick Warren's Saddleback Church, NFL locker rooms, and the nation's largest hospitals and see how implementing so-called keystone habits can earn billions and mean the difference between failure and success, life and death. At its core, "The Power of Habit" contains an exhilarating argument: the key to exercising regularly, losing weight, raising exceptional children, becoming more productive, building revolutionary companies and social movements, and achieving success is understanding how habits work. Habits aren't destiny. As Charles Duhigg shows, by harnessing this new science, we can transform our businesses, our communities, and our lives.
Adopt & Adapt: Structuring, Sharing and Reusing Asynchronous Collaborative Pedagogy

This paper presents a new approach for creating and conducting structured asynchronous collaborative activities and incorporating them in the existing instructional setting for all subjects and levels. CeLS is a web-based system designed to create and reuse Activity Structures; runable formats reflecting various collaborative instructional strategies e.g., creating and analyzing a common database, reaching an agreement, peer-product evaluation, contest, creating a group product. The unique feature in CeLS's design is its ability to use learners' products from previous stages and to conduct complex, multi-stage, structured activities. CeLS provides a sample of content-free Activity Structures and a searchable domain of all the activities that were implemented with students. Teachers can explore these examples, adopt them for personal use and adapt their structure and content to suit their specific needs. If none of the existing pre-designed resources seems to suit the needs, they can create new structures using basic building blocks.
Smart Grid Projects in Europe - Lessons Learned and Current Developments

The mission of the JRC-IE is to provide support to Community policies related to both nuclear and non-nuclear energy in order to ensure sustainable, secure and efficient energy production, distribution and use. The Smart Electricity Systems (SES) Action of the Energy Security Unit performs independent scientific research and acts as in-house scientific consultant for EU policy-making actors with particular focus on the ongoing transformations of smart electricity systems. The SES Action also develops dedicated power system models and hardware / software simulation tools, as well as an energy security Geographic Information System for EU energy infrastructures. or scan this QR (Quick Response) code using a QR reader app on your phone (no typing required) Legal Notice Neither the European Commission nor any person acting on behalf of the Commission is responsible for the use which might be made of this publication. The use of trademarks in this publication does not constitute an endorsement by the European Commission. The views expressed in this publication are the sole responsibility of the author(s) and do not necessarily reflect the views of the European Commission. Europe Direct is a service to help you find answers to your questions about the European Union Freephone number (*): 00 800 6 7 8 9 10 11 (*) Certain mobile telephone operators do not allow access to 00 800 numbers or these calls may be billed.
Development of an innovative spacer grid model utilizing computational fluid dynamics within a subchannel analysis tool

In the past few decades the need for improved nuclear reactor safety analyses has led to a rapid development of advanced methods for multidimensional thermal-hydraulic analyses. These methods have become progressively more complex in order to account for the many physical phenomena anticipated during steady state and transient Light Water Reactor (LWR) conditions. The advanced thermal-hydraulic subchannel code COBRA-TF (Thurgood, M. J. et al., 1983) is used worldwide for best-estimate evaluations of the nuclear reactor safety margins. In the framework of a joint research project between the Pennsylvania State University (PSU) and AREVA NP GmbH, the theoretical models and numerics of COBRA-TF have been improved. Under the name F-COBRA-TF, the code has been subjected to an extensive verification and validation program and has been applied to variety of LWR steady state and transient simulations. To enable F-COBRA-TF for industrial applications, including safety margins evaluations and design analyses, the code spacer grid models were revised and substantially improved. The state-of-the-art in the modeling of the spacer grid effects on the flow thermalhydraulic performance in rod bundles employs numerical experiments performed by computational fluid dynamics (CFD) calculations. Because of the involved computational cost, the CFD codes cannot be yet used for full bundle predictions, but their capabilities can be utilized for development of more advanced and sophisticated models for subchannel-level analyses. A subchannel code, equipped with improved physical models, can be then a powerful tool for LWR safety and design evaluations. The unique contributions of this PhD research are seen as development, implementation,
Guided Mental Practice: An Instructional Strategy for Asynchronous e-Learning of Pilot Safety Skills

This investigation assessed guided mental practice (GMP), a new practice approach for online learning, within a pilot safety training program. With GMP learners view a video of a flight simulator scenario and imagine themselves as the pilot of the flight. Thirty six licensed pilots participated in the study and were randomly separated into three groups: (a) training with hands-on practice facilitated through yoke and rudder pedal-controlled flight scenarios, (b) training with GMP where participants observed a flight scenario video, and (c) a control group that did not receive any training. Post-training, pilot participants completed a cross country flight in a high-fidelity simulator. During the simulator flight, each participant’s situation awareness was assessed. The results of the study suggest that training incorporating GMP can be equally effective as training with hands-on practice in improving pilot safety performance.
High reliability SRM drive system for aerospace applications

Switched reluctance machines (SRMs) have been extensively researched for mission critical high performance applications due to their high reliability, performance, fault-tolerance and high power densities. This paper discusses a high power density, high reliability SRM design for aerospace applications. This is in line with the more electric aircraft initiative that has been in place for many years and aims at utilizing electric power to drive subsystems in aerospace applications. These electric subsystems are intended to replace the historical hydraulic, pneumatic and mechanical power transfer systems, leading to better performance and efficiencies. The machine design is verified using commercially available 2-D and 3-D finite element analysis (FEA) software. A dynamic simulator program to verify the operation of the machine using an asymmetric bridge converter is designed and developed, and results of the simulator are included.
Investigating the effect of a robotic presence compared to a virtual robot in teaching angles and turn measurements to children

In the later years robotics has seen a huge increase within domestic use, and have now become an affordable tool in the daily life of most people. The goal of this project was to investigate the differences between a physical and virtual robot in terms of increased content knowledge, learning motivation, and interest in science, technology, engineering and mathematics (STEM). To investigate this we conducted an experiment at Trondheimm International School (THIS), using a quasi-experimental setup with two treatment group, virtual and physical robot. The results showed that there does not exist a statistically significant difference in content knowledge gain, motivation or interest between the robotics group and the simulator group.
Audience Research Methodologies: Between Innovation and Consolidation

The transformations of people’s relations to media content, technologies and institutions raise new methodological challenges and opportunities for audience research. This edited volume aims at contributing to the development of the repertoire of methods and methodologies for audience research by reviewing and exemplifying approaches that have been stimulated by the changing conditions and practices of audiences. The contributions address a range of issues and approaches related to the diversification, integration and triangulation of methods for audience research, to the gap between the researched and the researchers, to the study of online social networks, and to the opportunities brought about by Web 2.0 technologies as research tools.
Comparison of Basic Audio Quality and Timbral and Spatial Fidelity Changes Caused by Limitation of Bandwidth and by Down-Mix Algorithms in 5.1 Surround Audio Systems

The effect on audio quality of controlled multichannel audio bandwidth limitation and selected down-mix algorithms was quantified using one generic attribute (basic audio quality) and three specific attributes (timbral fidelity, frontal spatial fidelity, and surround spatial fidelity). The investigation was focused on the standard 5.1 multichannel audio setup (ITU-R BS.775-1) and was limited to the optimum listening position. The results obtained from a panel of experienced listeners indicate that the basic audio quality of multichannel recordings is more affected by timbral fidelity than by spatial fidelities. Therefore it can be concluded that in the case of broadcasting multichannel audio under highly restricted transmission conditions, it is better, in terms of basic audio quality, to sacrifice spatial fidelity by down-mixing original multichannel audio material to a lower number of broadcast audio channels than to sacrifice the timbral fidelity by transmitting all channels with limited bandwidths.
Building Corporate Image Through Integrated Marketing Communication and Service Quality on Islamic Bank in Bandung

Purposes. Aim of this research is to examines the effect of integrated marketing communications and Service Quality to the company 's image in Islamic banks in Bandung.Design/methodology/approach.This study is conducted in Bandung city and using Quantitative research design.The purpose of this study is to understand the perception of respondents towards their experience about corporate image in Islamic banking. this study were obtained by distributing survey questionnaire to a sample of 50 Owner Bank Syariahiness Enterprise in Bandung. Study assigned with purposive sampling which is particuar individuals are chossen with the characteristic relevant to the study who are thought will be most informative. Data analysis has been used Path Analysis. Findings this research. Corporate Image model on Islamic Bank in Indonesia is formed by performance of marketing communications and Service Quality. The second conclusion is Based on empirical evidence that obtained a correlation coefficient of 0.801, This shows that there is a very strong relationship between Integrated Marketing Communication and Service Quality simultaneously on Company Image. Coefficient determination for this model gained 0.641, this shows that Integrated Marketing Communication and Service Quality have an effect of 64.1% on Company Image, while the remaining 35.9% is explained by other things. F test is 41,957, this shows that simultaneously there is a significant influence between Integrated Marketing Communication and Service Quality on Company Image. And partialy the Integrated Marketing Communication variables directly affect of 62,1%. While the direct influence of Service Quality on the Company's image is 28,6%. Conclussion There are two conclusions of this study, the first is Model of the company's image is affected by marketing communications and service quality. The second conclusion Integrated Marketing Communication and Service Quality have an effect both partially and simultaneously on corporate image.
Evaluation of the greenfeed system for methane estimation from grazing dairy cows : a thesis presented in partial fulfilment of the requirements for the degree of Master of Science in Animal Science [at Massey University, Palmerston North, New Zealand]

iii ABSTRACT Ruminant methane (CH4) production contributes ~32% of New Zealand’s total greenhouse gases (GHG) and a reduction in emissions is required under the Kyoto Protocol. Under this agreement, New Zealand has pledged to either reduce, or take responsibility for the GHG emissions above those in 1990. GHG emission factors used for inventory need to be accurate, reliable and applicable to animals grazing in New Zealand. Furthermore, identification and implementation of mitigation strategies also depends on accurate and reliable methods for measuring CH4 emissions. Current techniques to measure CH4 have to compromise between accuracy and applicability. Respiration chambers are accurate, but do not represent a grazing environment, whilst the Sulphur Hexafluoride (SF6) technique can be used at grazing, but has more variation than the chambers. Consequently, a new technique known as the Greenfeed system, has been developed to measure CH4 from grazing animals. The evaluation of this technique applied to grazing animals, with minimal interference from humans, and its evaluation is reported here. In the first experiment, CH4 measurements were compared from the Greenfeed system with respiration chambers and the SF6 technique using six dry dairy cows fed a silage-based diet. Intakes were measured and were approximately at maintenance levels and feeding regimens were similar throughout. The mean CH4 production (g CH4/d) ± standard deviation (Murray et al., 2001) from the Greenfeed unit (150 ± 20.2) was higher and more variable than those from the respiration chambers (134 ± 9.8) and the SF6 technique (128 ± 8.7). Similarly, the CH4 yield (g CH4/kg dry matter intake (DMI)) ± SD was higher from the Greenfeed unit (24.0 ± 3.2) than the respiration chambers (21.9 ± 1.6) or the SF6 technique (20.5 ± 1.4). Correlations between CH4 production by individual animals using the Greenfeed system and either respiration chambers or the SF6 technique were weak (r = -0.36 and 0.13, respectively).
Mixed Convection in a Full Scale Aircraft Cabin Mock-Up

For the study of mixed convective airflows, a full scale double aisle aircraft cabin mock-up as been built at the German Aerospace Center in Gottingen. It is designed as a testing configuration with realistic boundary conditions for commercial CFD-codes as well as the DLR in house code THETA. The aim is reliable prediction of cabin air-flow by means of CFD under consideration of computational time. Special attention will be given to the proper prediction of the separation lines as well as the resulting temperature distribution, making necessary validation of the used turbulence and radiation models. In order to provide a comprehensive validation data base the flow in the mock-up was studied with Particle Image Velocimetry (PIV), infrared thermography, and field temperature measurements. The influence of buoyancy effects and the interaction of the incoming air jets on the flow field have been studied independently by switching from isothermal to cooling conditions and by systematical variation of the relative volume flow of the air inlets. Finally the impact of the resulting flow fields on the temperature distributions has been studied.
Analysis of the Gearbox Oil Maintenance Procedures in Wind Energy

This work analyzes the impact of the operation and maintenance procedure on the condition of gearbox oil. The analytical results reveals how different scenarios modify them. The analysis is based on key operational data collected from 30 different multi-megawatt wind turbines at different locations in Spain with a variety of technologies from different top-tier manufacturers. The study includes various situations and decisions, such as leakage and replacement of oil, offline filter installation, oil brand change, substitution of valves, and even the position where the sample is taken and how these situations can provoke false warnings that trigger modifications in the operation and maintenance of wind farms with new unnecessary tasks and costs. The experimental results conclude that complete and reliable information is crucial when warning about risk situations. It is not possible to take appropriate actions without accurate information and consequently the spread of the problem cannot be stopped.
Non-statistical Euclidean-distance SISO Decoding of Error-correcting Codes over Gaussian and Other Channels

In this paper we describe novel non-statistical Euclidean distance soft-input, soft-output (SISO) decoding algorithms for the three currently most important error-correcting codes: the low-density parity-check (LDPC), turbo and polar codes. The metric is squared Euclidean distance, and the decoders operate using an antilog-log (AL) process. We have investigated the simulated bit-error rate (BER) performance of these non-statistical algorithms on three channel models: the additive White Gaussian noise (AWGN), the Rayleigh fading and Middleton’s Class-A impulsive noise channels, and compare them with the BER performances of the corresponding statistical decoding algorithms for the three codes and channels. In all cases the performance over the AWGN channel of the non-statistical algorithms is almost the same or slightly better than that of the statistical algorithms. In some cases the performance over the two nonGaussian channels of the non-statistical algorithms is worse than that of the statistical algorithms, but the use of a simple signal amplitude limiter placed before the decoder input significantly improves the actual and relative performances of the algorithms. Thus there is no performance loss, and sometimes a significant performance gain, for the proposed decoding algorithms. A major advantage of our algorithms is that estimation of the channel signal-to-noise ratio is not required, which in practice simplifies system implementation. In addition, we have found that the processing complexity of the non-statistical algorithms is similar or slightly less than that of the corresponding statistical algorithms, and is significantly less for the LDPC codes over all of the channels.
“GREEN” CORPORATE SOCIAL RESPONSIBILITY: TO BE OR N OT TO BE?

Environmental evolutions such as climate change hav e triggered firms’ cultural behaviour in conducting businesses. With this new a wakening consciousness, more attentions are demanded so that firms put its pr ority of generating profits hand in hand with sustaining the environment. While th environmental benefits are more evident to society, the economic benefits are still vague. Nonetheless, deciding investments on green technology are gettin g harder with the development of environmental regulations and polici es. Limited investment valuation methods add to the complexity. Firms are f cing crossroads between profits and social responsibility. This paper sugge sts real option valuation (ROV) as a solution that improve firms decision making pr ocess in choosing investments that deal with both issues: profitability and corpo rate social responsibility (CSR), focusing on climate change. ROV incorporates uncert ainties and provides flexibility thus firms are able to balance up profi tability and CSR. Based on a case study, it is hope that findings of this paper lighten the dilemma and none of firms’ objectives is sacrificed.