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Real-time cognitive technical systems, a learning material processing system, social and future aspects

Real-time cognitive technical systems, a learning material p...

引用

IEEE International Conference on Advanced Robotics and its Social Impacts

作者： Wersborg, Ingo Stork Genannt Borgwardt, Felix Diepold, Klaus Department of Social Studies Johann Wolfgang Goethe-Universität zu Frankfurt am Main Fachbereich 3 60054 Frankfurt am Main Germany Department of Electrical Engineering and Information Technology Institute of Data Processing Technische Universität München 80333 Munich Germany

ISBN: (纸本)9781424443949

Most of the robots today are used in production systems and the potential for assistive robots is high. Therefore, this paper demonstrates an architecture for real-time cognitive technical systems that are applicable for assistive and production robots with at least two sensor data input streams and one actuator to be controlled. An application of this architecture can be demonstrated by using a robotic production system that learns from a human expert, using different dimensionality reduction and classifier techniques such as Isometric feature mapping, Support Vector Machines, and Fuzzy k-Nearest Neighbor classification. This paper also contains a social study on the impact of research in Artificial Intelligence (AI) and cognitive technical systems. The study offers a synopsis of the history of AI and forecasts the social impact that intelligent robotic assistance has on the areas of automotive, medical care, production systems, and private homes. © 2009 IEEE.

关键词： Nearest neighbor search

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3D regularized speed-map reconstruction in ultrasound transmission tomography

3D regularized speed-map reconstruction in ultrasound transm...

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IEEE Symposium (IUS) Ultrasonics

作者： Radovan Jiřík Igor Peterlík Jiří Jan Nicole Ruiter Michael Zapf Department of Biomedical Engineering Brno University of Technology Brno Czech Republic Institute of Data Processing and Electronics Forschungszentrum Karlsruhe GmbH (FZK) Eggenstein Germany

The paper is focused on ultrasonic transmission tomography as a potential medical imaging modality for breast cancer diagnosis. Ultrasound speed is one of the tissue parameters which are related to the pathological tissue state. An alternative to the commonly used filtered backprojection is presented, which can solve the problem of sparse transducer distribution. It is based on regularization of the image reconstruction problem which imposes smoothness in the resulting images while preserving edges. The approach is analyzed on synthetic data sets and illustrated on data acquired on a tissue phantom.

关键词： Ultrasonic imaging Tomography Image reconstruction Biomedical imaging Breast cancer Pathology Biomedical transducers Ultrasonic transducers data analysis Imaging phantoms

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Advanced H.264/AVC encoder optimizations on a TMS320DM642 digital signal processor

Advanced H.264/AVC encoder optimizations on a TMS320DM642 di...

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International Conference on Digital Signal processing (DSP)

作者： Dorian Schneider Marco Jeub Jun Zhou Song Li Department of Electrical Engineering Berlin University of Technology Germany Institute of Image Communication & Information Processing Shanghai Jiao Tong University China Institute of Communication Systems and Data Processing RWTH Aachen University Germany Shanghai Jiao Tong University Shanghai CN

This paper discusses the optimization of the H.264/AVC video encoder in the context of a modified software implementation on a Texas Instruments TMS320DM642 digital signal processor. Several algorithmic optimizations are proposed to improve time critical parts of the codec like the quantization step and the pixel interpolation. The algorithms proposed in this paper invoke the enhanced direct memory access (EDMA) controller, intrinsics and look-up tables to accelerate the encoding and do not affect the image peak signal-to-noise ratio (PSNR) or compression performance. The computational acceleration gain of these algorithms are the foundation of our real time 30 CIF frames/second baseline implementation.

关键词： Automatic voltage control Digital signal processors Signal processing algorithms Acceleration Image coding PSNR Instruments Codecs Quantization Interpolation

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Real-time cognitive technical systems, a learning material processing system, social and future aspects

Real-time cognitive technical systems, a learning material p...

引用

IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO

作者： Ingo Stork genannt Wersborg Felix Borgwardt Klaus Diepold Department of Electrical Engineering and Information Technology Institute of Data Processing Technische Universität München Munich Germany Department of Social Studies J. W. Goethe Universität Frankfurt Frankfurt Germany

关键词： Robot sensing systems Laser beam cutting Welding Power lasers Support vector machines Surface emitting lasers

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A Fuzzy approach to Region-of-interest coding in JPEG-2000 for ATR Applications from High Resolution Satellite Images

A Fuzzy approach to Region-of-interest coding in JPEG-2000 f...

引用

6th Indian Conference on Computer Vision, Graphics and Image processing

作者： Raj, K. C. Emmanuel Sanjay Venkatraman, S. varadan, Geeta Systems Engineering Division Advanced Data Processing Research Institute(ADRIN) Dept. of Space. India

ISBN: (纸本)9781424442195

Automatic Target Recognition (ATR) from satellite imagery involves detection of Foreground (FG) objects from the Background (BG). ATR demands higher fidelity, which in turn requires more bitrate, hence a conventional compression, which does not discriminate targets with the background results in poor detection rate. Here we propose a mechanism to achieve lower bitrate without compromising the detection efficiency. By allowing the background to be coded with lower fidelity than the regions-of-interest (ROIs), significant gains can be achieved in terms of compression and hence in storage space and transmission times. One interesting feature of the new JPEG-2000 image coding standard is support of ROI coding using maximum shift (MaxShift) method, which allows for arbitrarily shaped ROI image compression without shape coding or explicitly transmitting any shape information to the decoder. We propose a Fuzzy C-Means clustering approach to generating arbitrary shape mask so as to cluster the images into regions of varying homogeneity. Homogenous ROIs can be coded at a lower bitrate than the high detail regions. This ensures that the target recognition process is not affected by the compression process. A validation benchmark using 'Fuzzy Feature Vectors' is proposed which checks the foreground objects for features like Rectangularity, Circularity. Elongatedness, Symmetry, Area etc., as compared to its uncompressed equivalent. The validation is done on Standard JPEG, JPEG-2000 with ROI coding and JPEG-2000 without ROI coding at preset bitrates and compared.

关键词： JPEG ROI JPEG-2000 Fuzzy Feature Vectors Object Profile Graphs

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A Fuzzy Approach to Region of Interest Coding in JPEG 2000 for Automatic Target Recognition Applications from High-Resolution Satellite Images

A Fuzzy Approach to Region of Interest Coding in JPEG 2000 f...

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Indian Conference on Computer Vision, Graphics & Image processing (ICVGIP)

作者： Katari Clement Emmanuel Sanjay Raj Sarma Venkataraman Geeta Varadan Systems Engineering Division Advanced Data Processing Research Institute(ADRIN) India Dept. of Space Adv. Data Process. Res. Inst.

Automatic target recognition (ATR) from satellite imagery involves detection of foreground (FG) objects from the background (BG). ATR demands higher fidelity, which in turn requires more bitrate, hence a conventional compression, which does not discriminate targets with the background results in poor detection rate. Here we propose a mechanism to achieve lower bitrate without compromising the detection efficiency. By allowing the background to be coded with lower fidelity than the regions-of-interest (ROIs), significant gains can be achieved in terms of compression and hence in storage space and transmission times. One interesting feature of the new JPEG-2000 image coding standard is support of ROI coding using maximum shift (maxshift) method, which allows for arbitrarily shaped ROI image compression without shape coding or explicitly transmitting any shape information to the decoder. We propose a fuzzy C-means clustering approach to generating arbitrary shape mask so as to cluster the images into regions of varying homogeneity. Homogenous ROIs can be coded at a lower bitrate than the high detail regions. This ensures that the target recognition process is not affected by the compression process. A validation benchmark using 'fuzzy feature vectors' is proposed which checks the foreground objects for features like rectangularity, circularity, elongatedness, symmetry, area etc., as compared to its uncompressed equivalent. The validation is done on Standard JPEG, JPEG-2000 with ROI coding and JPEG-2000 without ROI coding at preset bitrates and compared.

关键词： Image coding Target recognition Satellites Bit rate Shape Image resolution Image storage Image analysis Image edge detection Layout

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Multi-modal multi-user telepresence and teleaction system

Multi-modal multi-user telepresence and teleaction system

引用

2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS

作者： Buss, Martin Peer, Angelika Schauß, Thomas Stefanov, Nikolay Unterhinninghofen, Ulrich Behrendt, Stephan Färber, Georg Leupold, Jan Diepold, Klaus Keyrouz, Fakheredine Sarkis, Michel Hinterseer, Peter Steinbach, Eckehard Färber, Berthold Pongrac, Helena Institute of Automatic Control Engineering Technische Universität München Munich Germany Institute for Real-Time Computer Systems Technische Universität München Munich Germany Institute for Data Processing Technische Universität München Munich Germany Institute of Communication Networks Technische Universität München Munich Germany Human Factors Institute University of the Bundeswehr Munich Germany

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3D reflectivity reconstruction by means of spatially distributed Kalman Filters

3D reflectivity reconstruction by means of spatially distrib...

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International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)

作者： Gregor F. Schwarzenberg Uwe Mayer Nicole V. Ruiter Uwe D. Hanebeck Institute for Data Processing and Electronics in Forschungszentrum Karlsruhe Germany Intelligent Sensor-Actuator-Systems Laboratory(ISAS) Institute of Computer Science and Engineering Universität Karlsruhe Germany

In seismic, radar, and sonar imaging the exact determination of the reflectivity distribution is usually intractable so that approximations have to be applied. A method called synthetic aperture focusing technique (SAFT) is typically used for such applications as it provides a fast and simple method to reconstruct (3D) images. Nevertheless, this approach has several drawbacks such as causing image artifacts as well as offering no possibility to model system-specific uncertainties. In this paper, a statistical approach is derived, which models the region of interest as a probability density function (PDF) representing spatial reflectivity occurrences. To process the nonlinear measurements, the exact PDF is approximated by well-placed Extended Kalman Filters allowing for efficient and robust data processing. The performance of the proposed method is demonstrated for a 3D ultrasound computer tomograph and comparisons are carried out with the SAFT image reconstruction.

关键词： Kalman filters Reflectivity Probability density function Three dimensional displays Receivers Approximation methods Mathematical model

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Large area nanopatterning of silicon surface by chemical assisted laser processing using near-field enhancement by particle-lens arrays

Large area nanopatterning of silicon surface by chemical ass...

引用

3rd Pacific International Conference on Applications of Lasers and Optics, PICALO 2008

作者： Guo, Wei Wang, Zeng Bo Li, Lin Liu, Zhu Luk'yanchuk, Boris Whitehead, David J. Laser Processing Research Centre School of Mechanical Aerospace and Civil Engineering University of Manchester Sackville Street Manchester M60 1QD United Kingdom Corrosion and Protection Centre School of Materials University of Manchester the Mill Manchester M60 1QD United Kingdom Data Storage Institute DSI Building 5 Engineering Drive 1 Singapore 117608 Singapore

ISBN: (纸本)9780912035895

Nanopattering of silicon substrates using near-field enhancement by particle-lens arrays in a chemical solution is presented for the first time. Both experimental and theoretical investigations have been carried out to understand the properties of the nanopatterns produced. The obtained results proved that the developed nanofabrication technique is a flexible method for precise surface nanopatterning over large area surface. Novel nanostructures such as nano-bump and ring arrays, that previously not possible to be produed using the particle-lens arrays, have been demonstrated using this technique. A close-packed monolayer of SiO2 spheres (r= 250 nm) was directly formed onto the silicon surface by self-assembly, and a 248nm wavelength KrF excimer laser was used to irradiate the samples. The theoretical modeling of the optical near-field is based on extended Mie theory. The effect of the laser fluence and assisted chemicals is studied. Due to the focusing of the particle lens, a reaction between the chemical solution and substrate can be induced in the locally high energy region. As a result, a lower laser fluence than the ablation threshold of bulk silicon can be used to generate nano-scale features.

关键词： Self assembly

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Generation of nano-bumps on transparent quartz glass surface under femtosecond laser irradiation

Generation of nano-bumps on transparent quartz glass surface...

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ICALEO 2008 - 27th International Congress on Applications of Lasers and Electro-Optics

Parallel surface patterning using micro particles is an attractive technique developed in recent years for large-area surface nanofabrication. It utilizes self-assembled particles lens-arrays, which convert the laser beam into a multiplicity of enhanced optical spots in parallel at focus. The focus of the particle is generally confined to a small region at the bottom of particle, which requires monolayer state of the particle array for efficient focusing. In this paper, we present a novel technique to tune the focusing properties of particle-lens array by changing the surrounding medium. It has been demonstrated to produce micro/nano convex bumps on transparent materials like quartz substrate.

关键词： Laser beams

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