Search

Your search keyword '"Blume H"' showing total 954 results
Start Over Author "Blume H"
954 results on '"Blume H"'

55. Cosmological Effects in Planetary Science

Author

Blume, H. J and Wilson, T. L

Subjects
Astrophysics
Abstract

In an earlier discussion of the planetary flyby anomaly, a preliminary assessment of cosmological effects upon planetary orbits exhibiting the flyby anomaly was made. A more comprehensive investigation has since been published, although it was directed at the Pioneer anomaly and possible effects of universal rotation. The general subject of Solar System anomalies will be examined here from the point of view of planetary science.

Published
2010

68. Object based refinement of motion vector fields applying probabilistic homogenization rules

Author

Blume, H., Herczeg, G., Erdler, O., and Noll, T.G.

Subjects
Consumer electronics -- Research, Motion -- Analysis, Fourier analysis -- Usage, Business, Electronics and electrical industries, Engineering and manufacturing industries
Abstract

This paper presents a new image analysis method, combining motion estimation and image segmentation. Whereas none of these methods, used on its own, delivers error free meta-information an appropriate combination leads to an orthogonalization of these errors. This method is applied to improve the quality of motion vector fields.

Published
2002

76. The German Lipoprotein Apheresis Registry (GLAR) - almost 5 years on

Author

Schettler, V.J.J., Neumann, C.L., Peter, C., Zimmermann, T., Julius, U., Roeseler, E., Heigl, F., Grützmacher, P., Blume, H., Vogt, A., and Publica

Subjects
Coronary heart disease, Lipoprotein apheresis, Prevention, Risk reduction, Lipoprotein apheresis registry
Abstract

Background: Since 2005 an interdisciplinary German apheresis working group has been established by members of both German Societies of Nephrology and of Lipidologists and completed the data set for the registry according to the current guidelines and the German indication guideline for apheresis in 2009. In 2011 the German Lipoprotein Apheresis Registry (GLAR) was launched and data are available over nearly 5 years now. Methods and results: During the time period 2012-2016, 71 German apheresis centers collected retrospective and prospective observational data of 1435 patients undergoing lipoprotein apheresis (LA) treatment of high LDL-C levels and/or high Lp (a) levels suffering from cardiovascular disease (CVD) or progressive CVD. A total of 15,527 completely documented LA treatments were entered into the database. All patients treated by LA showed a median LDL-C reduction rate of 67.5%, and a median Lp (a) reduction rate of 71.1%. Analog to the Pro(a)LiFe pattern, patient data were analyzed to the incidence rate of coronary events (MACE) 1 and 2 years before the beginning of LA treatment (y-2 and y‑1) and prospectively two years on LA treatment (y + 1 and y + 2). During two years of LA treatment a MACE reduction of 78% was observed. In the years considered, side effects of LA treatment were low (5.9%) and mainly comprised puncture problems. Conclusions: The data generated by the GLAR shows that LA lowers the incidence rate of cardiovascular events in patients with high LDL-C and/or high Lp (a) levels, progressive CVD, and maximally tolerated lipid lowering medication. In addition, LA treatments were found to be safe with a low rate of side effects.

Published
2017

77. Current insights into the German Lipoprotein Apheresis Registry (GLAR) - Almost 5 years on

Author

Schettler, V.J.J., Neumann, C.L., Peter, C., Zimmermann, T., Julius, U., Roeseler, E., Heigl, F., Grützmacher, P., Blume, H., and Publica

Subjects
Coronary heart disease, Lipoprotein apheresis, Prevention, Risk reduction, Lipoprotein apheresis registry
Abstract

Background: In recent years the Federal Joint Committee (G-BA), a paramount decision-making body of the German health care system required a reassessment of the approval of chronic lipoprotein apheresis therapy for regular reimbursement. Since 2005 an interdisciplinary German apheresis working group has been established by members of both German Societies of Nephrology. In 2009 the working group completed the indication for lipoprotein apheresis with respect to current cardiovascular guidelines and current scientific knowledge for the registry. In 2011 the German Lipoprotein Apheresis Registry (GLAR) was launched and data acquired over nearly 5 years can now be reported. Methods and results: All data were collected and analyzed during the time period 2012-2015. Over this time interval, 68 German apheresis centers collected retrospective and prospective observational data of 1.283 patients undergoing lipoprotein apheresis (LA) treatment of high LDL-cholesterol (LDL-C) levels and/or high lipoprotein(a) (Lp(a)) levels suffering from progressive cardiovascular disease (CVD). A total of 15,167 documented LA treatments were investigated. All patients treated by LA exhibited a median LDL-C reduction rate of 68.6%, and a median Lp(a) reduction rate of 70.4%. Analogue to the Pro(a)LiFe pattern, patient data were analyzed and compared with respect to the incidence rate of coronary events (MACE) 1 and 2 years before the start of LA treatment (y−2 and y−1) and prospectively one year on LA treatment (y+1). During the first year of LA treatment a MACE reduction of 97% was be observed. In the years considered, LA treatment side effects occurred at a low rate (ca. 5%) and mainly comprised puncture problems. Conclusions: For the first time data generated by the GLAR shows that LA lowers the incidence rate of cardiovascular events in patients with high LDL-C and/or high Lp(a) levels, progressive CVD and maximally tolerated lipid lowering medication. In addition LA treatments were found to be safe, exhibiting a low rate of side effects.

Published
2017

78. Description, characteristics and testing of the NASA airborne radar

Author

Jones, W. R, Altiz, O, Schaffner, P, Schrader, J. H, and Blume, H. J. C

Subjects
Air Transportation And Safety
Abstract

Presented here is a description of a coherent radar scattermeter and its associated signal processing hardware, which have been specifically designed to detect microbursts and record their radar characteristics. Radar parameters, signal processing techniques and detection algorithms, all under computer control, combine to sense and process reflectivity, clutter, and microburst data. Also presented is the system's high density, high data rate recording system. This digital system is capable of recording many minutes of the in-phase and quadrature components and corresponding receiver gains of the scattered returns for selected spatial regions, as well as other aircraft and hardware related parameters of interest for post-flight analysis. Information is given in viewgraph form.

Published
1991

79. Modeling and Error Analysis in Camera-Based Jump Height Measurement

Author

Webering Fritz, Emamzadehei Leili, and Blume Holger

Subjects
vertical jump height, sports, camera calibration, gravity, parabola, simulation, Medicine
Abstract

Introduction: In this work, we use simulated data to quantify the different failure mechanisms of a previously presented low-cost jump height measurement system, based on widely available consumer smartphone technology. Methods: In order to assess the importance of the different preconditions of the jump height measurement algorithm, we generate a synthetic dataset of 2000 random jump parabolas for 2000 randomly generated persons without real-world artifacts. We then selectively add different perturbations to the parabolas and reconstruct the jump height using the evaluated algorithm. The degree to which the manipulations influence the reconstructed jump height gives us insights into how critical each precondition is for the method’s accuracy. Results: For a subject-to-camera distance of 2.5 meters, we found the most important influences to be tracking inaccuracies and distance changes (non-vertical jumps). These are also the most difficult factors to control. Camera angle and lens distortion are easier to handle in practice and have a very low impact on the reconstructed jump height. The intraclass correlation value ICC(3,1) between true jump height and the reconstruction from distorted data ranges between 0.999 for mild and 0.988 for more severe distortions. Conclusion: Our results support the design of future studies and tools for accurate and affordable jump height measurement, which can be used in individual fitness, sports medicine, and rehabilitation applications.

Published
2022
Full Text
View/download PDF

88. Current insights into the German Lipoprotein Apheresis Registry (GLAR) – Almost 5 years on

Author

Schettler, V.J.J., primary, Neumann, C.L., additional, Peter, C., additional, Zimmermann, T., additional, Julius, U., additional, Roeseler, E., additional, Heigl, F., additional, Grützmacher, P., additional, Blume, H., additional, Vogt, A., additional, Jaeger, B.R., additional, van Buuren, F., additional, Mellwig, K.P., additional, and Klör, H.U., additional

Published
2017
Full Text
View/download PDF

96. Fixed Point Analysis Workflow for efficient Design of Convolutional Neural Networks in Hearing Aids

Author

Klein Simon Christian, Kantic Jonas, and Blume Holger

Subjects
convolutional neural networks, quantization, hearing aids, speech enhancement, audio signal processing, Medicine
Abstract

Neural networks (NN) are a powerful tool to tackle complex problems in hearing aid research, but their use on hearing aid hardware is currently limited by memory and processing power. To enable the training with these constrains, a fixed point analysis and a memory friendly power of two quantization (replacing multiplications with shift operations) scheme has been implemented extending TensorFlow, a standard framework for training neural networks, and the Qkeras package [1, 2]. The implemented fixed point analysis detects quantization issues like overflows, underflows, precision problems and zero gradients. The analysis is done for each layer in every epoch for weights, biases and activations respectively. With this information the quantization can be optimized, e.g. by modifying the bit width, number of integer bits or the quantization scheme to a power of two quantization. To demonstrate the applicability of this method a case study has been conducted. Therefore a CNN has been trained to predict the Ideal Ratio Mask (IRM) for noise reduction in audio signals. The dataset consists of speech samples from the TIMIT dataset mixed with noise from the Urban Sound 8kand VAD-dataset at 0 dB SNR. The CNN was trained in floating point, fixed point and a power of two quantization. The CNN architecture consists of six convolutional layers followed by three dense layers. From initially 1.9 MB memory footprint for 468k float32 weights, the power of two quantized network is reduced to 236 kB, while the Short Term Objective Intelligibility (STOI) Improvement drops only from 0.074 to 0.067. Despite the quantization only a minimal drop in performance was observed, while saving up to 87.5 % of memory, thus being suited for employment in a hearing aid

Published
2021
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results