2,787 research outputs found

    Motion studies of high current arcs using an optical fibre array imaging system

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    This paper presents an integrated portable measurement system for thestudy of high speed and high temperature unsteady plasma flows such as thosefound in the vicinity of high current switching arcs. The system permits direct andnon-intrusive measurement of arc light emission images with a capture rate of 1million images per second (1MHz), and 8 bit intensity resolution. Novel softwaretechniques are reported to measure arc trajectories. Results are presented on singlehigh current (2kA) discharge events where the electrode and arc runner surfaces areinvestigated using 3D laser scanning methods; such that the position of the arc rootson the runner can be correlated to the measured trajectories. The results showevidence of the cathode arc root stepping along the arc runners<br/

    Motion studies of cathode roots in high current arcs using an optical fibre array based imaging system

    No full text
    This paper presents an integrated portable measurement system for the study of high speed and high temperature unsteady plasma flows such as those found in the vicinity of high current switching arcs. The system permits direct and non-intrusive measurement of arc light emission images with a capture rate of 1 million images per second (1MHz), and 8 bit intensity resolution. Novel software techniques are reported to measure arc trajectories. Results are presented on single high current (2kA) discharge events where the electrode and arc runner surfaces are investigated using 3D laser scanning methods; such that the position of the arc roots on the runner can be correlated to the measured trajectories. The results show evidence of the cathode arc root stepping along the arc runners, and regions of where the arc runner is eroded by a stationary arc

    Motion studies of high current arcs using an optical fibre array imaging system

    No full text
    This paper presents an integrated portable measurement system for thestudy of high speed and high temperature unsteady plasma flows such as thosefound in the vicinity of high current switching arcs. The system permits direct andnon-intrusive measurement of arc light emission images with a capture rate of 1million images per second (1MHz), and 8 bit intensity resolution. Novel softwaretechniques are reported to measure arc trajectories. Results are presented on singlehigh current (2kA) discharge events where the electrode and arc runner surfaces areinvestigated using 3D laser scanning methods; such that the position of the arc rootson the runner can be correlated to the measured trajectories. The results showevidence of the cathode arc root stepping along the arc runners<br/

    Weaving Open Dialogue Using Canada’s Open Science Roadmap Framework

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    Open science (OS) as a movement has transformative potential in making the process of scientific research transparent and collaborative as well as the outputs freely accessible to all in society. However, these opportunities and challenges are subject to biases and entrenched in power disparities. In addition, the very broad nature of open science also invokes challenges in having meaningful discussions. In 2020, the Government of Canada unveiled a national framework, Roadmap to Open Science, which provided overarching principles and recommendations to allow federal science to be open to all. The University of Toronto (U of T) used this national open science framework to guide an international group of researchers and librarians to discuss open science in practical terms and engage the audience in being part of the dialogue. The five high-level principles of People, Transparency, Inclusiveness, Collaboration, and Sustainability were used as the structure in order to guide discussions into the current state of open science practices on-the-ground in academia. The University of Toronto Library (UTL) partnered with the Centre for Research & Innovation Support (CRIS) to host engaging conversations in a series of five virtual panels, Open Science: Following the Roadmap for Research, held in November 2021. The panelists consisted of librarians, faculty, and researchers from local, national as well as international institutions and organizations. Two core considerations on developing the make-up of the panels were to ensure diversity amongst panelists and have librarians included in every panel. The conversations were thought-provoking and touched-on aspects such as who is included and excluded in the various stages in research, implications of funding and control, infrastructure, power dynamics, and preservation of information. This paper will discuss the open science panel series and common themes which emerged from the conversations

    A Study on the Sexual Dysfunction of Female Recipients Who Underwent Hematopoietic Stem Cell Transplantation

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    Rejoinder

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    The ISCIP Analyst, Volume II, Issue 5

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    This repository item contains a single issue of The ISCIP Analyst, an analytical review journal published from 1996 to 2010 by the Boston University Institute for the Study of Conflict, Ideology, and Policy

    A sensitive study of real time storm surge forecast model to meteorological and hydrodynamic fields along the Sanin coast, Japan

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    In the present study, the performance of the real time storm surge forecast model based on the neural network is examined by forecasting Typhoon Megi storm surge 2003 at Sakai, Japan in terms of a variety of the combinations of data obtained from Typhoons Songda 2004 and Maemi 2003. In the experiments, the data sets are trained with the meteorological data measured at five stations: the sea level pressure, the depression rate of the sea level pressure, the wind speed, the wind direction; the hydroulic data: the sea surface level and the storm surge at Sakai; the typhoon parameters: the typhoon position, the central pressure of the typhoon and the highest wind speed near the typhoon center. In addition, the forecast time spans of 01, 02, 03, 04, 05, 12 and 24 hours are investigated for all cases of the data sets. From the results, It is found that the performance of the real time forecast models shows best when training the neural network with the data set of the storm surge, the sea level pressure, the depression rates of the sea level pressure, the wind speed and the typhoon position at Sakai
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