8 research outputs found
Automated Assessment of Image Quality in 2D Echocardiography Using Deep Learning
Echocardiography is the most used modality for assessing cardiac functions. The reliability of the echocardiographic measurements, however, depends on the quality of the images. Currently, the method of image quality assessment is a subjective process, where an echocardiography specialist visually inspects the images. An automated image quality assessment system is thus required. Here, we have reported on the feasibility of using deep learning for developing such automated quality scoring systems. A scoring system was proposed to include specific quality attributes for on-axis, contrast/gain and left ventricular (LV) foreshortening of the apical view. We prepared and used 1,039 echocardiographic patient datasets for model development and testing. Average accuracy of at least 86% was obtained with computation speed at 0.013ms per frame which indicated the feasibility for real-time deployment
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Design of the CART data system for the US Department of Energy's ARM Program
The Department of Energy (DOE) has initiated a major atmospheric research effort to reduce the uncertainties found in general circulation and other models due to the effects of clouds and radiation. The objective of the Atmospheric Radiation Measurement Program (ARM) is to provide an experimental testbed for the study of important atmospheric effects, particularly cloud and radiative processes, and testing parameterizations of the processes for use in atmospheric models. This experimental testbed, known as the Clouds and Radiation Testbed (CART), will include a complex data system, the CART Data Environment (CDE). The major functions of the CDE will be to: acquire environments from instruments and external data sources; perform quality assessments of the data streams; create data streams of known quality to be used as model input compared to model output; execute the models and capture their predictions; and make data streams associated with model tests available to ARM investigators in near real-time. The CDE will also be expected to capture ancillary information ( meta-data'') associated with the data streams, provide data management facilities for design of ARM experiments, and provide for archival data storage. The first section of this paper presents background information on CART. Next the process for the functional design of the system is described, the functional requirements summarized, and the conceptual architecture of the CDE is presented. Finally, the status of the CDE design activities is summarized, and major technical challenges are discussed
Analysis of microstructural changes in irradiated pressure vessel steels using small angle neutron scattering
Available from British Library Document Supply Centre- DSC:3106.1286(TPRD/B--0715/85)(fiche) / BLDSC - British Library Document Supply CentreSIGLEGBUnited Kingdo
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Pulsed CO sub 2 laser processing of thin ion-implanted silicon layers
We show that extremely shallow ({approx lt} 800 {Angstrom}) melt depths can be easily obtained by irradiating a thin heavily doped silicon layer with a CO{sub 2} laser pulse. Since the absorption of the CO{sub 2} laser pulse is dominated by free-carrier transitions, the beam heating occurs primarily in the thin degenerately doped film. For CO{sub 2} pulse-energy densities exceeding a threshold value, surface melting occurs and the reflectivity of the incident laser pulse increases abruptly to about 90%. This large increase in the reflectivity acts like a switch to reflect almost all of the energy in the remainder of the pulse, thereby greatly reducing the amount of energy available to drive the melt front to deeper depths in the material. Transmission electron microscopy shows no extended defects in the near-surface region after laser irradiation, and van der Pauw electrical measurements verify that 100% of the implanted arsenic dopant is electrically active. 8 refs., 3 figs., 1 tab
Life limiting features and technical problems to reach high burn-up in fast reactor fuel
SIGLEAvailable from British Library Document Supply Centre- DSC:3106.13384(TPRD/B--0814/R86)(fiche) / BLDSC - British Library Document Supply CentreGBUnited Kingdo
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Clouds and Radiation Testbed Data Environment: Site data system and experiment center
The Department of Energy (DOE) has initiated the Atmospheric Radiation Measurement (ARM) program as a research effort to reduce the uncertainties found in general circulation and other models due to the effects of clouds and solar radiation (DOE 1990, Patrinos, et al. 1990). This program will provide an experimental testbed for the study of important atmospheric effects, particularly cloud and radiative processes, and testing of parameterizations of the processes for use in atmospheric models. The design of the testbed, known as the Clouds and Radiation Testbed (CART), calls for five long-term field data collection sites as well as a mobile set of instrumentation to be used in short-term field campaigns. The first of the sites is expected to begin operation in April of 1992. Within the ARM Program, an experiment has been defined as the prospective test of a model, i.e., the test of a model's predictive capability. An experiment is specified by identifying the model or models to be tested, the model input requirements, the measurements needed for comparison to model outputs, and the measurements needed to diagnose model performance. The identification of required measurements includes the specification of data fusion or other techniques to be used in converting the basic instrument observations into the required set of measurements. The CART Data Environment (CDE) is the element of the testbed which acquires the basic observations from the instruments and processes them to meet the measurement requirements of ARM experiments
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Divertor heat flux reduction by D sub 2 injection in DIII-D
D{sub 2} gas injected into ELMing H-mode discharges in DIII-D reduced total integrated heat flux to the divertor by {approximately}2{times} and peak heat flux by {approximately}5{times}, with only modest degradation to plasma stored energy. Steady gas injection without particle pumping results in eventual degradation in stored energy. The initial reduction in peak heat flux at the divertor tiles may be primarily due to the increase in radiated power from the X-point/divertor region. The eventual formation of a high density region near the X-point appears to play a role in momentum (and energy) transfer from the flux surfaces near the outboard strike point to flux surfaces farther out into the scrapeoff. This may also contribute to further reduction in peak heat flux