95 research outputs found

    Postcard from "Pappy Y.O." to [?] Okazaki, May 22, 1944

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    Postcard from "Pappy Y.O." to [?] Okazaki in the Poston incarceration camp depicting the YMCA hotel in Chicago.The Japanese American Archival Collection documents the people, places, and daily life of Japanese Americans, primarily those who lived in the once thriving community of pre-war Florin in the Sacramento region, as well as the conditions in American incarceration camps during World War II. The approximately 7,000 original items include personal and official letters, photographs, diaries, arts and crafts, newsletters, textiles, camps artifacts, yearbooks and other publications

    Studies of Structure and Impact Damage of Composite Materials by a Computer Tomograph

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    © 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. The paper discusses the possibilities of computed tomography in the study of the internal structure of samples of composite materials with different types of reinforcing the material. A technique has been developed for recording impact damage parameters on a stand with a vertically falling weight. Using CT data the character of the distribution of internal damages was carried out after a low-speed strike was studied. The unique technique allows reconstructing 3D geometry of the object and analyze object defects in spatial

    Memory-Based Personalization for Fostering a Long-Term Child-Robot Relationship

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    After the novelty effect wears off children need a new motivator to keep interacting with a social robot. Enabling children to build a relationship with the robot is the key for facilitating a sustainable long-term interaction. We designed a memory-based personalization strategy that safeguards the continuity between sessions and tailors the interaction to the child's needs and interests to foster the child-robot relationship. A longitudinal (five sessions in two months) user study (N = 46, 8-10 y.o) showed that the strategy kept children interested longer in the robot, fosters more closeness, elicits more positive social cues, and adds continuity between sessions.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Interactive Intelligenc

    Individual CO2 emissions and the potential for reduction in the Netherlands and the United Kingdom

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    Using National Travel survey data from the Netherlands and the United Kingdom (UK), this paper examines how passenger transport emissions are divided across society and how similar this distribution is across these two countries. By looking across a series of data over time, the paper examines the extent to which the socio-economic characteristics of the main contributors of greenhouse gas (GHG) emissions are similar in these two countries. Based on the profiles of the main CO2 contributor, relevant policy measures are examined. The general effectiveness and acceptability of these measures are then discussed by drawing on pan-European (Eurobarometer) survey results. Analyses reveal that around 10% of the Dutch population is responsible for almost half of all travelrelated CO2 emissions in the Netherlands. Similarly, in the UK, around 20% of the population is responsible of the 60% of passenger transport-related CO2 emissions. Analysis of pan-European opinion surveys shows that there is a clear awareness among majority of the population that the type of car and the way it is used has an important impact on the environment. Despite this awareness, only a minority seem prepared to take action to reduce the environmnental consequences of their travel behaviour. The study supports the argument that the willingness to change behaviour is a complex mixture of individual and social interests. A major challenge is how to encourage changes in behaviour to reduce transport emissions with the right policies at the right time in the right place.Urban and Regional DevelopmentOTB Research Institut

    Recent trends in travel behaviour and passenger transport fuel use: A comparison of the Netherlands and the United Kingdom

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    The transport sector is the largest and fastest growing consumer of energy in Europe, which poses a serious threat to Europe’s climate and environment. Over recent decades, increases in passenger and freight transport movements have both been responsible for this growth. These trends can be observed in most European countries including the Netherlands and the United Kingdom (UK), where per capita transport fuel consumption increased by 9% and 4% respectively in the relatively short period between 2000 and 2006 (and by 37% and 16% respectively between 1990 and 2006). In many ways, general travel patterns in these two countries have not changed substantially during this period: total travel distance, average travel speed and travel time have all remained fairly constant. What has changed, however, is car occupancy, the type and age of vehicles on the road and the average number of trips, all of which have contributed to changes in energy consumption in the passenger transport sector. In this paper we focus on trends in individual mobility and related carbon dioxide (CO2) emissions, which are a close proxy for fuel consumption and total greenhouse gas (GHG) emissions from transport. National travel data for the Netherlands and the UK from 2000 onwards are used to examine these trends. We construct a classification of individuals based on their travel patterns and related CO2 emissions with the aim of identifying the key socio-economic characteristics of individuals with high and low CO2 emissions. We then examine the extent to which these socio-economic characteristics are similar in both countries. Preliminary analyses reveal that in both countries around 10% of the population is responsible for almost half of all CO2 emissions in the passenger transport sector. At the other end of the spectrum, half the population is responsible for only 10-20% of passenger transportrelated CO2 emissions. Substantial differences in individual transport CO2 emissions are apparent according to socio-economic characteristics such as age, gender, income and employment status.Urban and Regional DevelopmentOTB Research Institut

    Radar Doppler Polarimetry of Wind Turbines using the S-band PARSAX radar

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    Due to the necessity of more sources of renewable wind generated energy, the number of wind turbines in the Netherlands has grown in the past. Unfortunately, big sizes and movements of the blades negatively impact ground-based Doppler radars in the form of Doppler clutter. Such clutter leads to a downgrade of the surveillance radar performance in airplanes and precipitation detection, their parameters estimation. Our goal is to characterize and possibly eliminate the Doppler clutter from the wind turbine, where polarization is used as an important tool to reach this goal. As Doppler frequency and polarization are key characteristics for this study, a theoretical model based on these characteristics is built to predict the behavior of the rotated rotor blades of the wind turbine which shows promising results for amplitude and phase analysis. To evaluate this model, real measurements have been done with the PARSAX radar, which gives possibility to represent the wind turbine data in Doppler-range domain or Doppler-time domain in terms of amplitudes and phases of all four elements of the polarization scattering matrix. Using orthogonal LFMwaveforms for simultaneous polarimetric measurements, despite of huge benefits, has one serious drawback a different residual phases in different polarimetric channels. Testing and analysis of a few algorithms, the use of zero Doppler frequency range profile of phases with different algorithms of phase unwrapping, for their estimation and compensation did not result, unfortunately, in reliable compensation of residual phases. As a result, the analysis of wind turbines clutter has been focused on analysis of amplitude polarization characteristics only. For an experimental study a wind turbine was selected, which is located in Zoeterwoude near a highway. Such location allows to observe scattering from wind turbine and automotive targets simultaneously at the same range distance, with the possibility of data comparison. The goal of data analysis is to find polarimetric features, which for both types of targets behave differently, there is a possibility to eliminate the clutter from the wind turbine only. For comparative analysis, the absolute terms of the averaged covariance matrix are used in terms of 2D histograms to find differences between the wind turbine and automotive targets. This is done for consecutive time frames, where the results show different and similar behavior depending on the time frame. Another approach is to obtain and compare the so called target Euler parameters, which are related to a physical of the specific target to extend our study, a few polarimetric decomposition techniques (Pauli and H/®) are used to study feasibility of targets classification. Using comparative analysis with the covariance matrix, shows great potential with correlation coefficient algorithms in combination with polarization. The results are promising, but vary as the correlation coefficient highly depends on the vehicle and the orientation angle of the blades. The results of direct estimation of Euler parameters and the H/® decomposition both show differences between vehicles and blades and therefore potential in distinguishing both targets. Though, the results are affected by the residual phase and therefore additional research is recommended on this problem for better reliability.Electrical Engineering - TelecommunicationMicrowave Sensing, Signals and SystemsElectrical Engineering, Mathematics and Computer Scienc

    Featherweight Camera stabilisatie systeem: Video Analyse, 3D informatie uit 2D beelden

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    MediamaticsElectrical Engineering, Mathematics and Computer Scienc

    Technology adoption at the PoR chlorine cluster: A study on the effect of market & behavioural barriers on technology adoption at the Port of Rotterdam chlorine cluster

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    In order for the Netherlands to reach CO2 neutrality by 2050, large investments in zero emission technologies are needed. These investments would comprise out of renewable energy generation, higher energy efficiency alternatives and electrification of end uses. Although climate mitigation has become an ever growing societal concern since the ratification of "het klimaatakkoord", progress in the industrial sector has been seriously lagging in the Netherlands. In 2021 the reduction of CO2 emissions in the Netherlands stagnated and the emissions of the industrial sector actually slightly rose. So too in the Port of Rotterdam, where the chlorine cluster is not showing any significant CO2 reductions. There are several potential explanations why there is a gap between what should be invested and what actually is invested. They define the gap as, ’the apparent reality that some technologies that would pay off for adopters are, nevertheless, not adopted’. So, why do decision makers under invest in zero emission technologies? The explanations of fall into two broad categories: •Market barriers •Behavioural barriers Following the problem situation, this thesis focused on researching to what extent market & behavioural barriers contribute to the investment gap in the Port of Rotterdam Chlorine cluster, by incorporating both market and behavioural barriers in a quantitative investment model. The incorporation of these barriers in the model result in a range of investment types, some of them non-optimal and varying in perspectives on valuing the future. By simulating technology adoption under the assumption of this range of varying configurations of market and behavioural barriers, it is possible to determine the effect of those two categories of barriers on technology adoption at the PoR chlorine cluster. The obtained insights of this research feed into the larger study of quantitative decision models for the industrial sector. Where the following main research question is answered: What is the effect of market and behavioural barriers on zero emission technology adoption at the PoR chlorine cluster? To answer the main research question, the model represents the PoR chlorine cluster on a highly detailed level and bases it's technical system's configuration on a thorough plant-process-product & zero-emission technology inventarisation. These two inventarisations give the current and possible future configuration of the PoR chlorine cluster's technical system. Consequently, this makes it possible to explicitly model the technology stock at the chlorine cluster and determine technology adoption on an asset level. The market & behavioural barriers are represented by 8 evaluation types. These evaluation types represent 8 varying configurations of the market & behavioural barriers. Consequently, a scenario analysis was conducted with the model. The scenario analysis resulted in transition pathways, total CO2 emissions and total cash flows between 2022-2050. The model results show that the incorporation of market and behavioural barriers lead to postponed adoption of zero emission technology adoption. This is reflected by the lower number of years that these alternatives are installed between 2022 and 2050. The lower adoption lead to an increase of 288% total CO2 emissions between 2022-2050, compared to the optimal solution. Underneath, the key findings from the model results are presented… Complex Systems Engineering and Management (CoSEM
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