45 Result(s)
within
Chapter
Conference Paper
**lu Chen
German
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Chapter and Conference Paper
Application of Dynamic Skip Fire for NOX and CO2 Emissions Reduction on a HD Diesel Truck and for an Off Highway Engine
Dynamic Skip Fire (DSF®) has been shown to significantly reduce CO2 on gasoline engines and has been in mass production since 2018 with more than 1.5 million vehicles produced. DSF is an advanced cylinder deactiv...
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Chapter and Conference Paper
Abstract: A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT
Optical coherence tomography (OCT) is a micrometer-scale, volumetric imaging modality that has become a clinical standard in ophthalmology. OCT instruments image by raster-scanning a focused light spot across ...
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Chapter and Conference Paper
Abstract: MOOD 2020
Detecting out-of-distribution (OoD) data is one of the greatest challenges in safe and robust deployment of machine learning algorithms in medicine. When the algorithms encounter cases that deviate from the di...
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Chapter and Conference Paper
Unsupervised detection of Small Hyperreflective Features in Ultrahigh Resolution Optical Coherence Tomography
Recent advances in optical coherence tomography such as the development of high speed ultrahigh resolution scanners and corresponding signal processing techniques may reveal new potential biomarkers in retinal...
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Chapter and Conference Paper
Abstract: Maximum A-posteriori Signal Recovery for OCT Angiography Image Generation
Optical coherence tomography angiography (OCTA) is a clinically promising modality to image retinal vasculature. For this end, optical coherence tomography (OCT) volumes are repeatedly scanned and intensity ch...
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Chapter and Conference Paper
Dynamic Skip Fire (DSF®) to Simultaneously Improve Emissions and Fuel Economy of Diesel Engines
Improving fuel economy and reducing tailpipe emissions are persistent challenges for the diesel engine industry. Dynamic Skip Fire (DSF®) for diesel engines (dDSF) has the potential to reduce both fuel consump...
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Chapter and Conference Paper
Abstract: Automatic Dementia Screening and Scoring by Applying Deep Learning on Clock-drawing Tests
Dementia is one of the most common neurological syndromes in the world. Usually, diagnoses are made based on paper-and-pencil tests and scored by personal judgments of experts. This technique can introduce err...
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Chapter and Conference Paper
Planning and conducting a measurement campaign and derivation of customer-specific load distributions for light duty trucks in China
In a close collaboration between Borgward Group GmbH, Beiqi Foton Motor Co., LTD. and Fraunhofer ITWM, new design loads for light duty trucks in the People's Republic of China have been created based on a dedi...
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Chapter and Conference Paper
First Launch of 2.0l I4 Engine with UpValve VVA System
Since 2010 Pierburg has been involved in development, application and production of mechanical, fully variable valve actuation (VVA) systems. UpValve, UniValve und FlexValve are recognized upgrades for SI- as ...
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Chapter and Conference Paper
TSN basierte automatisch etablierte Redundanz für deterministische Kommunikation
Mit der Einführung von Industrie 4.0 werden neue Anforderungen an industrielle Netzwerke gestellt. Eine der neuen Anforderungen ist, deterministische Kommunikation nicht nur in der Maschine, sondern auch Masch...
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Chapter and Conference Paper
Resource-Efficient Nanoparticle Classification Using Frequency Domain Analysis
We present a method for resource-efficient classification of nanoparticles such as viruses in liquid or gas samples by analyzing Surface Plasmon Resonance (SPR) images using frequency domain features. The SPR ...
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Chapter and Conference Paper
Semi-Automatic Cell Correspondence Analysis Using Iterative Point Cloud Registration
In the field of biophysics, deformation of in-vitro model tissues is an experimental technique to explore the response of tissue to a mechanical stimulus. However, automated registration before and after deformat...
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Chapter and Conference Paper
FEV simulation and optimization tools and their usage for hybrid powertrain sizing
In the last decade, the development of cleaner vehicles with higher fuel economy and lower emissions is becoming a mainstream in automotive industry because of the aggravation of oil crisis, public concerns on...
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Chapter and Conference Paper
Abstract: OCT-OCTA Segmentation
In this work, a novel paradigm for segmenting optical coherence tomography (OCT) and optical coherence tomography angiography (OCTA) is presented [1]. Since it uses OCT and OCTA information jointly it is calle...
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Chapter and Conference Paper
Abstract: Assessment of Segmentation Dependence in Macroscopic Lung Cavity Extraction
Training of respiratory motion models and population-based patient phantoms of the lung often requires the definition of the entire lung cavity region in the 4D-CT. To ease the workload of clinical experts, au...
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Chapter and Conference Paper
Manifold Learning-based Data Sampling for Model Training
Training data sampling is an important task in machine learning especially for data with small sample size and data with nonuniform sample distribution. Dividing data into different data sets randomly can caus...
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Chapter and Conference Paper
A Feasibility Study of Automatic Multi-Organ Segmentation Using Probabilistic Atlas
Thoracic and abdominal multi-organ segmentation has been a challenging problem due to the inter-subject variance of human thoraxes and abdomens as well as the complex 3D intra-subject variance among organs. In...
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Chapter and Conference Paper
Noise Reduction in Low Dose DSA Imaging Using Pixel Adaptive SVD-Based Approach
In this work, a new method for noise reduction in low dose DSA imaging is presented. The algorithm extends an existing approach using the low rank nature of DSA image series to enable considerable reduction of...
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Chapter and Conference Paper
Robust traction control coordinated with driver intention
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Chapter and Conference Paper
Robust Feature for Transcranial Sonography Image Classification Using Rotation-Invariant Gabor Filter
Transcranial sonography is a new tool for the diagnosis of Parkinson’s disease according to a distinct hyperechogenic pattern in the substantia nigra region. In order to reduce the influence of the image prope...
