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ORCIDUlrich Rückert 0001
Person information
- affiliation: University of Bielefeld, Faculty of Technology, Germany
- affiliation: University of Paderborn, Heinz Nixdorf Institute, Germany
Other persons with the same name
- Ulrich Rückert 0002 — University of California, Berkeley, International Computer Science Institute (and 1 more)
- Ulrich Rückert 0003 — Google AI
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2020 – today
- 2024
[c153]Xiangyu Wang, Xilu Wang, Yaochu Jin, Ulrich Rückert:
A Graph Neural Network Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization. CEC 2024: 1-8- [c152]Shiqing Liu, Ulrich Rückert, Yaochu Jin:
FOG: A Unified Framework for Federated Combinatorial Optimization on Graphs. CEC 2024: 1-8 - [c151]Sanaullah
, Shamini Koravuna, Ulrich Rückert, Thorsten Jungeblut:
A Spike Vision Approach for Multi-object Detection and Generating Dataset Using Multi-core Architecture on Edge Device. EANN 2024: 317-328 - [c150]Christian Klarhorst, Dennis Quirin, Marc Hesse, Ulrich Rückert:
A Digital Twin Implementation for the AMiRo. ETFA 2024: 1-4 - [c149]Sanaullah, Kaushik Roy, Ulrich Rückert, Thorsten Jungeblut:
Poster: Selection of Optimal Neural Model using Spiking Neural Network for Edge Computing*. ICDCS 2024: 1452-1453 - [i8]Sanaullah, Shamini Koravuna, Ulrich Rückert, Thorsten Jungeblut:
Design-Space Exploration of SNN Models using Application-Specific Multi-Core Architectures. CoRR abs/2403.12061 (2024) - [i7]Sanaullah, Kaushik Roy, Ulrich Rückert, Thorsten Jungeblut:
A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models. CoRR abs/2407.08861 (2024) - 2023
- [j34]Sanaullah, Shamini Koravuna, Ulrich Rückert, Thorsten Jungeblut:
Exploring spiking neural networks: a comprehensive analysis of mathematical models and applications. Frontiers Comput. Neurosci. 17 (2023) - [j33]Thomas Schöpping, Svenja Kenneweg, Marc Hesse, Ulrich Rückert:
µRT: A lightweight real-time middleware with integrated validation of timing constraints. Frontiers Robotics AI 10 (2023) - [j32]Shamini Koravuna, Ulrich Rückert, Thorsten Jungeblut:
Evaluation of Spiking Neural Nets-Based Image Classification Using the Runtime Simulator RAVSim. Int. J. Neural Syst. 33(9): 2350044:1-2350044:19 (2023) - [c148]Kevin Penner, Felix Wittenfeld, Bastian Steinhagen, Marc Hesse, Ulrich Rückert:
TinyML optimization for activity classification on the resource-constrained body sensor BI-Vital. BSN 2023: 1-4 - [c147]Sanaullah, Shamini Koravuna, Ulrich Rückert, Thorsten Jungeblut:
Streamlined Training of GCN for Node Classification with Automatic Loss Function and Optimizer Selection. EANN 2023: 191-202 - [c146]Marius Kortekamp, Sarah Pilz, Jens Hagemeyer, Ulrich Rückert:
A Scalable Binary Neural Associative Memory on FPGA. IWANN (1) 2023: 381-393 - [c145]Shamini Koravuna, Sanaullah, Thorsten Jungeblut, Ulrich Rückert:
Digit Recognition Using Spiking Neural Networks on FPGA. IWANN (1) 2023: 406-417 - [c144]Michael Adams, Alexander David, Marc Hesse, Ulrich Rückert:
Expected Goals Prediction in Professional Handball using Synchronized Event and Positional Data. MMSports@MM 2023: 83-91 - [i6]Cung Lian Sang, Michael Adams, Marc Hesse, Ulrich Rückert:
Bidirectional UWB Localization: A Review on an Elastic Positioning Scheme for GNSS-deprived Zones. CoRR abs/2302.07706 (2023) - 2022
- [c143]Martin Kaiser, René Griessl, Nils Kucza, Carola Haumann, Lennart Tigges, Kevin Mika, Jens Hagemeyer, Florian Porrmann, Ulrich Rückert, Micha vor dem Berge, Stefan Krupop, Mario Porrmann, Marco Tassemeier, Pedro Trancoso, Fareed Qararyah, Stavroula Zouzoula, António Casimiro, Alysson Neves Bessani, José Cecílio, Stefan Andersson, Oliver Brunnegård, Olof Eriksson, Roland Weiss, Franz Meierhöfer, Hans Salomonsson, Elaheh Malekzadeh, Daniel Ödman, Anum Khurshid, Pascal Felber, Marcelo Pasin, Valerio Schiavoni, Jämes Ménétrey, Karol Gugala, Piotr Zierhoffer, Eric Knauss, Hans-Martin Heyn:
VEDLIoT: Very Efficient Deep Learning in IoT. DATE 2022: 963-968 - [c142]Sanaullah, Shamini Koravuna, Ulrich Rückert, Thorsten Jungeblut:
SNNs Model Analyzing and Visualizing Experimentation Using RAVSim. EANN 2022: 40-51 - [c141]Christian Klarhorst, Dennis Quirin, Marc Hesse, Ulrich Rückert:
ML4ProFlow: A Framework for Low-Code Data Processing from Edge to Cloud in Industrial Production. ETFA 2022: 1-4 - [i5]Martin Kaiser, René Griessl, Nils Kucza, Carola Haumann, Lennart Tigges, Kevin Mika, Jens Hagemeyer, Florian Porrmann, Ulrich Rückert, Micha vor dem Berge, Stefan Krupop, Mario Porrmann, Marco Tassemeier, Pedro Trancoso, Fareed Qararyah, Stavroula Zouzoula, António Casimiro, Alysson Bessani, José Cecílio, Stefan Andersson, Oliver Brunnegård, Olof Eriksson, Roland Weiss, Franz Meierhöfer, Hans Salomonsson, Elaheh Malekzadeh, Daniel Ödman, Anum Khurshid, Pascal Felber, Marcelo Pasin, Valerio Schiavoni, Jämes Ménétrey, Karol Gugula, Piotr Zierhoffer, Eric Knauss, Hans-Martin Heyn:
VEDLIoT: Very Efficient Deep Learning in IoT. CoRR abs/2207.00675 (2022) - 2021
- [j31]Florian Porrmann, Sarah Pilz, Alessandra Stella, Alexander Kleinjohann, Michael Denker, Jens Hagemeyer, Ulrich Rückert:
Acceleration of the SPADE Method Using a Custom-Tailored FP-Growth Implementation. Frontiers Neuroinformatics 15: 723406 (2021) - [c140]Nafiseh Moti, Frederic Schimmelpfennig, Reza Salkhordeh, David Klopp, Toni Cortes, Ulrich Rückert, André Brinkmann:
Simurgh: a fully decentralized and secure NVMM user space file system. SC 2021: 46 - 2020
- [j30]Sarah Pilz, Florian Porrmann, Martin Kaiser, Jens Hagemeyer, James M. Hogan, Ulrich Rückert:
Accelerating Binary String Comparisons with a Scalable, Streaming-Based System Architecture Based on FPGAs. Algorithms 13(2): 47 (2020) - [c139]Christoph Ostrau, Jonas Dominik Homburg, Christian Klarhorst, Michael Thies, Ulrich Rückert:
Benchmarking Deep Spiking Neural Networks on Neuromorphic Hardware. ICANN (2) 2020: 610-621 - [c138]Christoph Ostrau, Christian Klarhorst, Michael Thies, Ulrich Rückert:
Benchmarking of Neuromorphic Hardware Systems. NICE 2020: 16:1-16:4 - [i4]Christoph Ostrau, Jonas Dominik Homburg, Christian Klarhorst, Michael Thies, Ulrich Rückert:
Benchmarking Deep Spiking Neural Networks on Neuromorphic Hardware. CoRR abs/2004.01656 (2020)
2010 – 2019
- 2019
- [j29]Cung Lian Sang, Michael Adams, Timm Hörmann, Marc Hesse, Mario Porrmann, Ulrich Rückert:
Numerical and Experimental Evaluation of Error Estimation for Two-Way Ranging Methods. Sensors 19(3): 616 (2019) - [j28]Omar W. Ibraheem, Arif Irwansyah, Jens Hagemeyer, Mario Porrmann, Ulrich Rückert:
FPGA-Based Vision Processing System for Automatic Online Player Tracking in Indoor Sports. J. Signal Process. Syst. 91(7): 703-729 (2019) - [c137]Timo Korthals, Daniel Wolf, Daniel Rudolph, Marc Hesse, Ulrich Rückert:
Fiducial Marker based Extrinsic Camera Calibration for a Robot Benchmarking Platform. ECMR 2019: 1-6 - [c136]Timo Korthals, Marc Hesse, Jürgen Leitner, Andrew Melnik, Ulrich Rückert:
Jointly Trained Variational Autoencoder for Multi-Modal Sensor Fusion. FUSION 2019: 1-8 - [c135]Timo Korthals, Daniel Rudolph, Jürgen Leitner, Marc Hesse, Ulrich Rückert:
Multi-Modal Generative Models for Learning Epistemic Active Sensing. ICRA 2019: 3319-3325 - [c134]Christoph Ostrau, Christian Klarhorst, Michael Thies, Ulrich Rückert:
Comparing Neuromorphic Systems by Solving Sudoku Problems. HPCS 2019: 521-527 - [c133]Cung Lian Sang, Michael Adams, Timo Korthals, Timm Hörmann, Marc Hesse, Ulrich Rückert:
A Bidirectional Object Tracking and Navigation System using a True-Range Multilateration Method. IPIN 2019: 1-8 - [c132]Jonas Dominik Homburg, Michael Adams, Michael Thies, Timo Korthals, Marc Hesse, Ulrich Rückert:
Constraint Exploration of Convolutional Network Architectures with Neuroevolution. IWANN (2) 2019: 735-746 - [c131]Michael Adams, Sadok Ben-Salem, Zahidul Islam, Arne Vogelsang, Thorsten Jungeblut, Ulrich Rückert, Ivan Volosyak, Mihaly Benda, Abdul Saboor, André Frank Krause, Aya Rezeika, Felix Gembler, Piotr Stawicki, Marc Hesse, Kai Essig:
Towards an SSVEP-BCI Controlled Smart Home. SMC 2019: 2737-2742 - [c130]Cung Lian Sang, Michael Adams, Marc Hesse, Timm Hörmann, Timo Korthals, Ulrich Rückert:
A Comparative Study of UWB-based True-Range Positioning Algorithms using Experimental Data. WPNC 2019: 1-6 - 2018
- [j27]Timo Korthals, Mikkel Kragh Hansen, Peter Christiansen, Henrik Karstoft, Rasmus N. Jørgensen, Ulrich Rückert:
Multi-Modal Detection and Mapping of Static and Dynamic Obstacles in Agriculture for Process Evaluation. Frontiers Robotics AI 5: 28 (2018) - [j26]Johannes Ax, Gregor Sievers, Julian Daberkow, Martin Flasskamp, Marten Vohrmann, Thorsten Jungeblut, Wayne Kelly, Mario Porrmann, Ulrich Rückert:
CoreVA-MPSoC: A Many-Core Architecture with Tightly Coupled Shared and Local Data Memories. IEEE Trans. Parallel Distributed Syst. 29(5): 1030-1043 (2018) - [c129]Daniel Klimeck, Hanno Gerd Meyer, Jens Hagemeyer, Mario Porrmann, Ulrich Rückert:
Resource-efficient Reconfigurable Computer-on-Module for Embedded Vision Applications. ASAP 2018: 1-4 - [c128]Thomas Schöpping, Timo Korthals, Marc Hesse, Ulrich Rückert:
Generic Architecture for Modular Real-time Systems in Robotics. ICINCO (2) 2018: 413-420 - [c127]Cung Lian Sang, Michael Adams, Timm Hormann, Marc Hesse, Mario Porrmann, Ulrich Rückert:
An Analytical Study of Time of Flight Error Estimation in Two-Way Ranging Methods. IPIN 2018: 1-8 - [c126]Thomas Schöpping, Timo Korthals, Marc Hesse, Ulrich Rückert:
AMiRo: A Mini Robot as Versatile Teaching Platform. RiE 2018: 177-188 - [i3]Christian Klarhorst, Martin Flasskamp, Johannes Ax, Thorsten Jungeblut, Wayne Kelly, Mario Porrmann, Ulrich Rückert:
Development of Energy Models for Design Space Exploration of Embedded Many-Core Systems. CoRR abs/1801.04242 (2018) - [i2]Timo Korthals, Mikkel Kragh Hansen, Peter Christiansen, Ulrich Rückert:
Towards Inverse Sensor Mapping in Agriculture. CoRR abs/1805.08595 (2018) - [i1]Timo Korthals, Jürgen Leitner, Ulrich Rückert:
Coordinated Heterogeneous Distributed Perception based on Latent Space Representation. CoRR abs/1809.04558 (2018) - 2017
- [j25]Andreas Stöckel, Christoph Jenzen, Michael Thies, Ulrich Rückert:
Binary Associative Memories as a Benchmark for Spiking Neuromorphic Hardware. Frontiers Comput. Neurosci. 11: 71 (2017) - [j24]Arif Irwansyah, Omar W. Ibraheem, Jens Hagemeyer, Mario Porrmann, Ulrich Rückert:
FPGA-based multi-robot tracking. J. Parallel Distributed Comput. 107: 146-161 (2017) - [c125]Omar W. Ibraheem, Arif Irwansyah, Jens Hagemeyer, Mario Porrmann, Ulrich Rückert:
Reconfigurable vision processing system for player tracking in indoor sports. DASIP 2017: 1-6 - [c124]Marten Vohrmann, Philippe Geisler, Thorsten Jungeblut, Ulrich Rückert:
Design-space exploration of ultra-low power CMOS logic gates in a 28 nm FD-SOI technology. ECCTD 2017: 1-4 - [c123]Johannes Ax, Nils Kucza, Marten Vohrmann, Thorsten Jungeblut, Mario Porrmann, Ulrich Rückert:
Comparing Synchronous, Mesochronous and Asynchronous NoCs for GALS Based MPSoCs. MCSoC 2017: 45-51 - [c122]Cung Lian Sang, Marc Hesse, Sebastian Zehe, Michael Adams, Timm Hörmann, Ulrich Rückert:
An Adaptive Acknowledgement On-demand Protocol for Wireless Sensor Networks. SENSORNETS 2017: 174-181 - 2016
- [c121]Timm Hörmann, Marc Hesse, Peter Christ, Michael Adams, Christian Menßen, Ulrich Rückert:
Fine-Grained Prediction of Cognitive Workload in a Modern Working Environment by Utilizing Short-Term Physiological Parameters. BIOSIGNALS 2016: 42-51 - [c120]Timm Hörmann, Marc Hesse, Peter Christ, Michael Adams, Christian Menßen, Ulrich Rückert:
Detailed Estimation of Cognitive Workload with Reference to a Modern Working Environment. BIOSTEC (Selected Papers) 2016: 205-223 - [c119]Timm Hormann, Marc Hesse, Michael Adams, Ulrich Rückert:
A software assistant for user-centric calibration of a wireless body sensor. BSN 2016: 183-188 - [c118]Marc Hesse, Michael Adams, Timm Hormann, Ulrich Rückert:
Towards a comprehensive power consumption model for wireless sensor nodes. BSN 2016: 390-395 - [c117]Timo Korthals, Marvin Barther, Thomas Schöpping, Stefan Herbrechtsmeier, Ulrich Rückert:
Occupancy Grid Mapping with Highly Uncertain Range Sensors based on Inverse Particle Filters. ICINCO (2) 2016: 192-200 - 2015
- [c116]Timm Hormann, Peter Christ, Marc Hesse, Ulrich Rückert:
Robust estimation of physical activity by adaptively fusing multiple parameters. BSN 2015: 1-6 - [c115]Marten Vohrmann, Saikat Chatterjee, Sven Lütkemeier, Thorsten Jungeblut, Mario Porrmann, Ulrich Rückert:
A 65 nm standard cell library for ultra low-power applications. ECCTD 2015: 1-4 - [c114]Johannes Ax, Aurel Buda, Daniel Schneider, John Harttfel, Lars Dürkop, Thorsten Jungeblut, Jürgen Jasperneite, Andreas Vedral, Ulrich Rückert:
Universelle Echtzeit-Ethernet Architektur zur Integration in rekonfigurierbare Automatisierungssysteme. GI-Jahrestagung 2015: 1533-1544 - [c113]Gregor Sievers, Johannes Ax, Nils Kucza, Martin Flasskamp, Thorsten Jungeblut, Wayne Kelly, Mario Porrmann, Ulrich Rückert:
Evaluation of interconnect fabrics for an embedded MPSoC in 28 nm FD-SOI. ISCAS 2015: 1925-1928 - [c112]Thomas Schöpping, Timo Korthals, Stefan Herbrechtsmeier, Ulrich Rückert:
AMiRo: A Mini Robot for Scientific Applications. IWANN (1) 2015: 199-205 - [c111]Gregor Sievers, Julian Daberkow, Johannes Ax, Martin Flasskamp, Wayne Kelly, Thorsten Jungeblut, Mario Porrmann, Ulrich Rückert:
Comparison of Shared and Private L1 Data Memories for an Embedded MPSoC in 28nm FD-SOI. MCSoC 2015: 175-181 - [c110]Timo Korthals, Thilo Krause, Ulrich Rückert:
Evidence Grid Based Information Fusion for Semantic Classifiers in Dynamic Sensor Networks. ML4CPS 2015: 9-14 - [c109]Omar W. Ibraheem, Arif Irwansyah, Jens Hagemeyer, Mario Porrmann, Ulrich Rückert:
A resource-efficient multi-camera GigE vision IP core for embedded vision processing platforms. ReConFig 2015: 1-6 - [c108]Arif Irwansyah, Omar W. Ibraheem, Jens Hagemeyer, Mario Porrmann, Ulrich Rückert:
FPGA-based circular hough transform with graph clustering for vision-based multi-robot tracking. ReConFig 2015: 1-8 - 2014
- [c107]Boris Hübener, Gregor Sievers, Thorsten Jungeblut, Mario Porrmann, Ulrich Rückert:
CoreVA: A Configurable Resource-Efficient VLIW Processor Architecture. EUC 2014: 9-16 - 2013
- [j23]Jan Lachmair, Erzsébet Merényi, Mario Porrmann, Ulrich Rückert:
A reconfigurable neuroprocessor for self-organizing feature maps. Neurocomputing 112: 189-199 (2013) - [j22]Sven Lütkemeier, Thorsten Jungeblut, Hans Kristian Otnes Berge, Snorre Aunet, Mario Porrmann, Ulrich Rückert:
A 65 nm 32 b Subthreshold Processor With 9T Multi-Vt SRAM and Adaptive Supply Voltage Control. IEEE J. Solid State Circuits 48(1): 8-19 (2013) - [j21]Thorsten Jungeblut, Boris Hübener, Mario Porrmann, Ulrich Rückert:
A systematic approach for optimized bypass configurations for application-specific embedded processors. ACM Trans. Embed. Comput. Syst. 13(2): 18:1-18:25 (2013) - [c106]Peter Christ, Felix Werner, Ulrich Rückert, Jörg Mielebacher:
Athlete Identification using Acceleration and Electrocardiographic Measurements Recorded with a Wireless Body Sensor. BIOSIGNALS 2013: 11-19 - [c105]Peter Christ, Ulrich Rückert:
Identification of Athletes During Walking and Jogging Based on Gait and Electrocardiographic Patterns. BIOSTEC (Selected Papers) 2013: 240-257 - [c104]Andry Tanoto, Javier V. Gómez, Nikolaos Mavridis, Hanyi Li, Ulrich Rückert, Santiago Garrido:
Teletesting: Path planning experimentation and benchmarking in the Teleworkbench. ECMR 2013: 343-348 - [c103]Gregor Sievers, Peter Christ, Julian Einhaus, Thorsten Jungeblut, Mario Porrmann, Ulrich Rückert:
Design-space exploration of the configurable 32 bit VLIW processor CoreVA for signal processing applications. NORCHIP 2013: 1-4 - [c102]Kidsanapong Puntsri, Omar Jan, Ali Al-Bermani, Christian Wordehoff, David Sandel, Saleh Hussin, Muhammad Fawad Panhwar, Reinhold Noé, Ulrich Rückert:
An ultralow complexity algorithm for frame synchronization and IQ alignment in CO-OFDM systems. OFC/NFOEC 2013: 1-3 - 2012
- [c101]Andry Tanoto, Hanyi Li, Ulrich Rückert, Joaquin Sitte:
Scalable and flexible vision-based multi-robot tracking system. ISIC 2012: 19-24 - [c100]Jens Hagemeyer, Arne Hilgenstein, Dirk Jungewelter, Dario Cozzi, Carmelo Felicetti, Ulrich Rückert, Sebastian Korf, Markus Koester, Fabio Margaglia, Mario Porrmann, Florian Dittmann, Michael Ditze, Julian Harris, Luca Sterpone, Jørgen Ilstad:
A scalable platform for run-time reconfigurable satellite payload processing. AHS 2012: 9-16 - [c99]Andreas Backhaus, Jan Lachmair, Ulrich Rückert, Udo Seiffert:
Hardware accelerated real time classification of hyperspectral imaging data for coffee sorting. ESANN 2012 - [c98]Jan Lachmair, Erzsébet Merényi, Mario Porrmann, Ulrich Rückert:
gNBXe - a Reconfigurable Neuroprocessor for Various Types of Self-Organizing Maps. ESANN 2012 - [c97]Ulrich Rückert, Erzsébet Merényi:
Parallel neural hardware: the time is right. ESANN 2012 - [c96]Thorsten Jungeblut, Johannes Ax, Mario Porrmann, Ulrich Rückert:
A TCMS-based architecture for GALS NoCs. ISCAS 2012: 2721-2724 - [c95]Sven Lütkemeier, Thorsten Jungeblut, Mario Porrmann, Ulrich Rückert:
A 200mV 32b subthreshold processor with adaptive supply voltage control. ISSCC 2012: 484-486 - [c94]Johannes Romoth, Dirk Jungewelter, Jens Hagemeyer, Mario Porrmann, Ulrich Rückert:
Optimizing inter-FPGA communication by automatic channel adaptation. ReConFig 2012: 1-7 - 2011
- [j20]Ali Al-Bermani, Christian Wordehoff, Sebastian Hoffmann, Timo Pfau, Ulrich Rückert, Reinhold Noé:
Synchronous Demodulation of Coherent 16-QAM with Feedforward Carrier Recovery. IEICE Trans. Commun. 94-B(7): 1794-1800 (2011) - [j19]Federico Nava, Donatella Sciuto, Marco D. Santambrogio, Stefan Herbrechtsmeier, Mario Porrmann, Ulf Witkowski, Ulrich Rückert:
Applying dynamic reconfiguration in the mobile robotics domain: A case study on computer vision algorithms. ACM Trans. Reconfigurable Technol. Syst. 4(3): 29:1-29:22 (2011) - [j18]Markus Koester, Wayne Luk, Jens Hagemeyer, Mario Porrmann, Ulrich Rückert:
Design Optimizations for Tiled Partially Reconfigurable Systems. IEEE Trans. Very Large Scale Integr. Syst. 19(6): 1048-1061 (2011) - [c93]Andry Tanoto, Felix Werner, Ulrich Rückert, Hanyi Li:
Teleworkbench: validating robot programs from simulation to prototyping with minirobots. AAMAS 2011: 1303-1304 - [c92]Sebastian Korf, Dario Cozzi, Markus Koester, Jens Hagemeyer, Mario Porrmann, Ulrich Rückert, Marco D. Santambrogio:
Automatic HDL-Based Generation of Homogeneous Hard Macros for FPGAs. FCCM 2011: 125-132 - [c91]Matthias W. Blesken, Anouar Chebil, Ulrich Rückert, Xavier Esquivel, Oliver Schütze:
Integrated circuit optimization by means of evolutionary multi-objective optimization. GECCO 2011: 807-812 - 2010
- [j17]Sven Lütkemeier, Ulrich Rückert:
A Subthreshold to Above-Threshold Level Shifter Comprising a Wilson Current Mirror. IEEE Trans. Circuits Syst. II Express Briefs 57-II(9): 721-724 (2010) - [j16]Madhura Purnaprajna, Mario Porrmann, Ulrich Rückert, Michael Hussmann, Michael Thies, Uwe Kastens:
Runtime Reconfiguration of Multiprocessors Based on Compile-Time Analysis. ACM Trans. Reconfigurable Technol. Syst. 3(3): 17:1-17:25 (2010) - [c90]Hans Kristian Otnes Berge, Matthias W. Blesken, Snorre Aunet, Ulrich Rückert:
Design of 9T SRAM for dynamic voltage supplies by a multiobjective optimization approach. ICECS 2010: 319-322 - [c89]Matthias W. Blesken, Sven Lütkemeier, Ulrich Rückert:
Multiobjective optimization for transistor sizing sub-threshold CMOS logic standard cells. ISCAS 2010: 1480-1483 - [c88]Christoph Puttmann, Mario Porrmann, Paolo Roberto Grassi, Marco D. Santambrogio, Ulrich Rückert:
High level specification of embedded listeners for monitoring of Network-on-Chips. ISCAS 2010: 3333-3336 - [c87]Thorsten Jungeblut, Ralf Dreesen, Mario Porrmann, Michael Thies, Ulrich Rückert, Uwe Kastens:
A Framework for the Design Space Exploration of Software-Defined Radio Applications. MOBILIGHT 2010: 148-159 - [c86]Thorsten Jungeblut, Gregor Sievers, Mario Porrmann, Ulrich Rückert:
Design Space Exploration for Memory Subsystems of VLIW Architectures. NAS 2010: 377-385
2000 – 2009
- 2009
- [j15]Safaa E. Amin, Andry Tanoto, Ulf Witkowski, Ulrich Rückert, Mohamed Saied Abdel-Wahab:
Effect of global position information in unknown world exploration - A case study using the Teleworkbench. Robotics Auton. Syst. 57(10): 1042-1047 (2009) - [j14]Madhura Purnaprajna, Mario Porrmann, Ulrich Rückert:
Run-time reconfigurability in embedded multiprocessors. SIGARCH Comput. Archit. News 37(2): 30-37 (2009) - [c85]Madhura Purnaprajna, Christopher Pohl, Mario Porrmann, Ulrich Rückert:
Using Run-time Reconfiguration for Energy Savings in Parallel Data Processing. ERSA 2009: 119-125 - [c84]Teerapat Chinapirom, Ulf Witkowski, Ulrich Rückert:
Vision Module for Mini-robots Providing Optical Flow Processing for Obstacle Avoidance. FIRA 2009: 208-219 - [c83]Bernd Neuwinger, Ulf Witkowski, Ulrich Rückert:
Ad-Hoc Communication and Localization System for Mobile Robots. FIRA 2009: 220-229 - [c82]Mohamed El Habbal, Ulrich Rückert, Ulf Witkowski:
Topology Control in Large-Scale High Dynamic Mobile Ad-Hoc Networks. FIRA 2009: 239-250 - [c81]Ulf Witkowski, Joaquin Sitte, Stefan Herbrechtsmeier, Ulrich Rückert:
AMiRESot - A New Robot Soccer League with Autonomous Miniature Robots. FIRA 2009: 332-345 - [c80]Stefan Herbrechtsmeier, Ulf Witkowski, Ulrich Rückert:
BeBot: A Modular Mobile Miniature Robot Platform Supporting Hardware Reconfiguration and Multi-standard Communication. FIRA 2009: 346-356 - [c79]Emad Monier, Per Wilhelm, Ulrich Rückert:
Template matching based tracking of players in indoor team sports. ICDSC 2009: 1-6 - [c78]Hans-Peter Löb, Christian Liß, Ulrich Rückert, Christian Sauer:
UMAC - A Universal MAC architecture for heterogeneous home networks. ICUMT 2009: 1-6 - [c77]Ralf Dreesen, Thorsten Jungeblut, Michael Thies, Mario Porrmann, Uwe Kastens, Ulrich Rückert:
A Synchronization Method for Register Traces of Pipelined Processors. IESS 2009: 207-217 - [e2]Jong-Hwan Kim, Shuzhi Sam Ge, Prahlad Vadakkepat, Norbert Jesse, Abdullah Al Manum, Sadasivan Puthusserypady, Ulrich Rückert, Joaquin Sitte, Ulf Witkowski, Ryohei Nakatsu, Thomas Bräunl, Jacky Baltes, John Eric Anderson, Ching-Chang Wong, Igor M. Verner, David J. Ahlgren:
Progress in Robotics - FIRA RoboWorld Congress 2009, Incheon, Korea, August 16-20, 2009. Proceedings. Communications in Computer and Information Science 44, 2009, ISBN 978-3-642-03985-0 [contents] - [e1]Jong-Hwan Kim, Shuzhi Sam Ge, Prahlad Vadakkepat, Norbert Jesse, Abdullah Al Mamun, Sadasivan Puthusserypady, Ulrich Rückert, Joaquin Sitte, Ulf Witkowski, Ryohei Nakatsu, Thomas Bräunl, Jacky Baltes, John Eric Anderson, Ching-Chang Wong, Igor M. Verner, David J. Ahlgren:
Advances in Robotics, FIRA RoboWorld Congress 2009, Incheon, Korea, August 16-20, 2009. Proceedings. Lecture Notes in Computer Science 5744, Springer 2009, ISBN 978-3-642-03982-9 [contents] - 2008
- [j13]Sally El Ghoul, Ashraf S. Hussein, Mohamed Saied Abdel-Wahab, Ulf Witkowski, Ulrich Rückert:
A Modified Multiple Depth First Search Algorithm for Grid Mapping Using Mini-Robots Khepera. J. Comput. Sci. Eng. 2(4): 321-338 (2008) - [c76]Ulf Witkowski, Emad Monier, Ulrich Rückert, Sally El Ghoul, M. S. El-Ghoniemy, Mohamed Saied Abdel-Wahab, A. Fouad, Ashraf Saad Hussein, A. Kamal, M. Abdel-Meniem, W. Abo El Khair:
An automated platform for minirobots experiments. ICARCV 2008: 685-688 - [c75]Hala Mousher Ebied, Ulf Witkowski, Ulrich Rückert, Mohamed Saied Abdel-Wahab:
Robot Localization based on Visual Landmarks. ICINCO-RA (2) 2008: 49-53 - [c74]Safaa E. Amin, Andry Tanoto, Ulf Witkowski, Ulrich Rückert, Mohamed Saied Abdel-Wahab:
Modified Local Navigation Strategy for Unknown Environment Exploration. ICINCO-RA (1) 2008: 171-176 - [c73]Teerapat Chinapirom, Ulf Witkowski, Ulrich Rückert:
A biologically-inspired and resource-efficient vision system using mobile mini-robots for obstacle avoidance. ROBIO 2008: 1182-1187 - 2007
- [j12]Ralf Eickhoff, Ulrich Rückert:
Robustness of radial basis functions. Neurocomputing 70(16-18): 2758-2767 (2007) - [j11]Jörg-Christian Niemann, Christoph Puttmann, Mario Porrmann, Ulrich Rückert:
Resource efficiency of the GigaNetIC chip multiprocessor architecture. J. Syst. Archit. 53(5-6): 285-299 (2007) - [j10]Joaquin Sitte, Liang Zhang, Ulrich Rückert:
Characterization of Analog Local Cluster Neural Network Hardware for Control. IEEE Trans. Neural Networks 18(4): 1242-1253 (2007) - [c72]Andry Tanoto, Ulf Witkowski, Ulrich Rückert:
Teleworkbench: A Remotely-Accessible Robotic Laboratory for Education. AAAI Spring Symposium: Semantic Scientific Knowledge Integration 2007: 154-155 - [c71]Jörg-Christian Niemann, Christian Liß, Mario Porrmann, Ulrich Rückert:
A Multiprocessor Cache for Massively Parallel SoC Architectures. ARCS 2007: 83-97 - [c70]Christoph Puttmann, Jörg-Christian Niemann, Mario Porrmann, Ulrich Rückert:
GigaNoC - A Hierarchical Network-on-Chip for Scalable Chip-Multiprocessors. DSD 2007: 495-502 - [c69]Ulrich Rückert, Ralf Eickhoff:
Controlling complexity of RBF networks by similarity. ESANN 2007: 181-186 - [c68]Tim Kaulmann, Deniz Dikmen, Ulrich Rückert:
A Digital Framework for Pulse Coded Neural Network Hardware with Bit-Serial Operation. HIS 2007: 302-307 - [c67]Ralf Eickhoff, Tim Kaulmann, Ulrich Rückert:
Impact of Shrinking Technologies on the Activation Function of Neurons. ICANN (1) 2007: 501-510 - [c66]Tim Kaulmann, Axel Löffler, Ulrich Rückert:
A Control Approach to a Biophysical Neuron Model. ICANN (1) 2007: 529-538 - [c65]Vincenzo Rana, Marco D. Santambrogio, Donatella Sciuto, Boris Kettelhoit, Markus Köster, Mario Porrmann, Ulrich Rückert:
Partial Dynamic Reconfiguration in a Multi-FPGA Clustered Architecture Based on Linux. IPDPS 2007: 1-8 - [c64]Ralf Eickhoff, Tim Kaulmann, Ulrich Rückert:
Neural Inspired Architectures for Nanoelectronics. IWANN 2007: 414-421 - [c63]Tim Kaulmann, Sven Lütkemeier, Ulrich Rückert:
IAF Neuron Implementation for Mixed-Signal PCNN Hardware. IWANN 2007: 447-454 - 2006
- [c62]Jörg-Christian Niemann, Christoph Puttmann, Mario Porrmann, Ulrich Rückert:
GigaNetIC - A Scalable Embedded On-Chip Multiprocessor Architecture for Network Applications. ARCS 2006: 268-282 - [c61]Ralf Eickhoff, Joaquin Sitte, Ulrich Rückert:
Robust Local Cluster Neural Networks. ESANN 2006: 119-124 - [c60]Ralf Eickhoff, Ulrich Rückert:
Pareto-optimal Noise and Approximation Properties of RBF Networks. ICANN (1) 2006: 993-1002 - [c59]Andry Tanoto, Jia Lei Du, Ulf Witkowski, Ulrich Rückert:
Teleworkbench: An Analysis Tool for Multi-Robotic Experiments. BICC 2006: 179-188 - [c58]Ralf Eickhoff, Tim Kaulmann, Ulrich Rückert:
SIRENS: A Simple Reconfigurable Neural Hardware Structure for artificial neural network implementations. IJCNN 2006: 2830-2837 - [c57]Ralf Eickhoff, Ulrich Rückert:
Enhancing Fault Tolerance of Radial Basis Functions. IJCNN 2006: 5066-5073 - [c56]Björn Jäger, Mario Porrmann, Ulrich Rückert:
Bio-inspired massively parallel architectures for nanotechnologies. ISCAS 2006 - 2005
- [j9]Heiko Kalte, Boris Kettelhoit, Markus Köster, Mario Porrmann, Ulrich Rückert:
A system approach for partially reconfigurable architectures. Int. J. Embed. Syst. 1(3/4): 274-290 (2005) - [c55]Matthias Grünewald, Feng Xu, Ulrich Rückert:
Increasing the Resource-Efficiency of the CSMA/CA Protocol in Directional Ad Hoc Networks. ADHOC-NOW 2005: 71-84 - [c54]Teerapat Chinapirom, Ulf Witkowski, Ulrich Rückert:
Universal FPGA-Microcontroller Module for Autonomous Minirobots. AMiRE 2005: 21-26 - [c53]Andry Tanoto, Ulf Witkowski, Ulrich Rückert:
Teleworkbench: A Teleoperated Platform for Multi-Robot Experiments. AMiRE 2005: 49-54 - [c52]Jia Lei Du, Ulf Witkowski, Ulrich Rückert:
Teleoperation of a Mobile Autonomous Robot using Web Services. AMiRE 2005: 55-60 - [c51]Björn Jäger, Jörg-Christian Niemann, Ulrich Rückert:
Analytical approach to massively parallel architectures for nanotechnologies. ASAP 2005: 268-275 - [c50]Ralf Eickhoff, Ulrich Rückert:
Tolerance of Radial Basis Functions Against Stuck-At-Faults. ICANN (2) 2005: 1003-1008 - [c49]Michael Grosseschallau, Ulf Witkowski, Ulrich Rückert:
Low-cost Bluetooth Communication for the Autonomous Mobile Minirobot Khepera. ICRA 2005: 4194-4199 - [c48]Ralf Eickhoff, Jörg-Christian Niemann, Mario Porrmann, Ulrich Rückert:
Adaptable Switch Boxes as On-Chip Routing Nodes for Networks-on-Chip. IESS 2005: 201-210 - [c47]Heiko Kalte, Gareth Lee, Mario Porrmann, Ulrich Rückert:
REPLICA: A Bitstream Manipulation Filter for Module Relocation in Partial Reconfigurable Systems. IPDPS 2005 - [c46]Markus Koester, Mario Porrmann, Ulrich Rückert:
Placement-Oriented Modeling of Partially Reconfigurable Architectures. IPDPS 2005 - [c45]Jia Lei Du, Ulf Witkowski, Ulrich Rückert:
CSD: cell-based service discovery in large-scale robot networks. IROS 2005: 2235-2240 - [c44]Jörg-Christian Niemann, Mario Porrmann, Ulrich Rückert:
A Scalable Parallel SoC Architecture for Network Processors. ISVLSI 2005: 311-313 - [c43]Ralf Eickhoff, Ulrich Rückert:
Robustness of Radial Basis Functions. IWANN 2005: 264-271 - [c42]Tim Kaulmann, Markus Ferber, Ulf Witkowski, Ulrich Rückert:
Analog VLSI Implementation of Adaptive Synapses in Pulsed Neural Networks. IWANN 2005: 455-462 - [c41]Marc Franzmeier, Ulf Witkowski, Ulrich Rückert:
Explorative Data Analysis Based on Self-organizing Maps and Automatic Map Analysis. IWANN 2005: 725-733 - [c40]Feng Xu, Matthias Grünewald, Ulrich Rückert:
A low complexity directional scheme for mobile ad hoc networks. PIMRC 2005: 1349-1353 - [c39]Ralf Eickhoff, Ulrich Rückert:
Fault-tolerance of basis function networks using tensor product stabilizers. SMC 2005: 2144-2149 - [c38]Markus Koester, Heiko Kalte, Mario Porrmann, Ulrich Rückert:
Defragmentation Algorithms for Partially Reconfigurable Hardware. VLSI-SoC 2005: 41-53 - 2004
- [c37]Heiko Kalte, Mario Porrmann, Ulrich Rückert:
Leistungsbewertung unterschiedlicher Einbettungsvariaten dynamisch rekonfigurierbarer Hardware. ARCS Workshops 2004: 235-244 - [c36]Matthias Grünewald, Jörg-Christian Niemann, Mario Porrmann, Ulrich Rückert:
A Mapping Strategy for Resource-Efficient Network Processing on Multiprocessor SoC. DATE 2004: 758-763 - [c35]Heiko Kalte, Markus Koester, Boris Kettelhoit, Mario Porrmann, Ulrich Rückert:
A Comparative Study on System Approaches for Partially Reconfigurable Architectures. ERSA 2004: 70-76 - [c34]Björn Griese, Erik Vonnahme, Mario Porrmann, Ulrich Rückert:
Hardware Support for Dynamic Reconfiguration in Reconfigurable SoC Architectures. FPL 2004: 842-846 - [c33]Christopher Pohl, Marc Franzmeier, Mario Porrmann, Ulrich Rückert:
gNBX - reconfigurable hardware acceleration of self-organizing maps. FPT 2004: 97-104 - [c32]Heiko Kalte, Gareth Lee, Mario Porrmann, Ulrich Rückert:
Study on column wise design compaction for reconfigurable systems. FPT 2004: 413-416 - [c31]Chris Loeser, André Brinkmann, Ulrich Rückert:
Distributed Path Selection (DPS) A Traf.c Engineering Protocol for IP-Networks. HICSS 2004 - [c30]Heiko Kalte, Mario Porrmann, Ulrich Rückert:
System-on-Programmable-Chip Approach Enabling Online Fine-Grained 1D-Placement. IPDPS 2004 - [c29]André Brinkmann, Michael Heidebuer, Friedhelm Meyer auf der Heide, Ulrich Rückert, Kay Salzwedel, Mario Vodisek:
V: Drive - Costs and Benefits of an Out-of-Band Storage Virtualization System. MSST 2004: 153-157 - [c28]Matthias Grünewald, Dinh Khoi Le, Uwe Kastens, Jörg-Christian Niemann, Mario Porrmann, Ulrich Rückert, Adrian Slowik, Michael Thies:
Network Application Driven Instruction Set Extensions for Embedded Processing Clusters. PARELEC 2004: 209-214 - [c27]Marc Franzmeier, Christopher Pohl, Mario Porrmann, Ulrich Rückert:
Hardware Accelerated Data Analysis. PARELEC 2004: 309-314 - [c26]Erik Vonnahme, Björn Griese, Mario Porrmann, Ulrich Rückert:
Dynamic Reconfiguration of Real-Time Network Interfaces. PARELEC 2004: 376-379 - 2003
- [j8]Mario Porrmann, Ulf Witkowski, Ulrich Rückert:
A massively parallel architecture for self-organizing feature maps. IEEE Trans. Neural Networks 14(5): 1110-1121 (2003) - [c25]Matthias Grünewald, Jörg-Christian Niemann, Ulrich Rückert:
A performance evaluation method for optimizing embedded applications. IWSOC 2003: 10-15 - [c24]Olaf Bonorden, Nikolaus Brüls, Uwe Kastens, Dinh Khoi Le, Friedhelm Meyer auf der Heide, Jörg-Christian Niemann, Mario Porrmann, Ulrich Rückert, Adrian Slowik, Michael Thies:
A holistic methodology for network processor design. LCN 2003: 583- - 2002
- [j7]Martin Schäfer, Tim Schönauer, Carsten Wolff, Georg Hartmann, Heinrich Klar, Ulrich Rückert:
Simulation of spiking neural networks -- architectures and implementations. Neurocomputing 48(1-4): 647-679 (2002) - [j6]Ulrich Rückert:
ULSI Architectures for Artificial Neural Networks. IEEE Micro 22(3): 10-19 (2002) - [c23]Mario Porrmann, Marc Franzmeier, Heiko Kalte, Ulf Witkowski, Ulrich Rückert:
A reconfigurable SOM hardware accelerator. ESANN 2002: 337-342 - [c22]Mario Porrmann, Ulf Witkowski, Heiko Kalte, Ulrich Rückert:
Dynamically Reconfigurable Hardware - A New Perspective for Neural Network Implementations. FPL 2002: 1048-1057 - [c21]Burkhard Iske, Axel Löffler, Ulrich Rückert:
A Direction Sensitive Network Based on a Biophysical Neurone Model. ICANN 2002: 153-159 - [c20]Jürgen Klahold, Jens Rautenberg, Ulrich Rückert:
Continuous Sonar Sensing for Mobile Mini-Robots. ICRA 2002: 323-328 - [c19]Heiko Kalte, Dominik Langen, Erik Vonnahme, André Brinkmann, Ulrich Rückert:
Dynamically Reconfigurable System-on-Programmable-Chip. PDP 2002: 235-242 - [c18]Mario Porrmann, Ulf Witkowski, Heiko Kalte, Ulrich Rückert:
Implementation of Artificial Neural Networks on a Reconfigurable Hardware Accelerator. PDP 2002: 243- - 2001
- [c17]Burkhard Iske, Ulrich Rückert:
A methodology for behaviour design of autonomous systems. IROS 2001: 539-544 - [c16]Ulrich Rückert:
ULSI Architectures for Artificial Neural Networks. PDP 2001: 436-442 - [c15]Marco Schmidt, Ulrich Rückert:
Content-Based Information Retrieval Using an Embedded Neural Associative Memory. PDP 2001: 443-450 - 2000
- [c14]André Brinkmann, Dominik Langen, Ulrich Rückert:
A Rapid Prototyping Environment for Microprocessor Based System-on-Chips and Its Application to the Development of a Network Processor. FPL 2000: 838-841 - [c13]Burkhard Iske, Ulrich Rückert, Kurt Malmstrom, Joaquin Sitte:
A Bootstrapping Method for Autonomous and in Site Learning of Generic Navigation Behavior. ICPR 2000: 4656-4659 - [c12]Heiko Kalte, Mario Porrmann, Ulrich Rückert:
Using a Dynamically Reconfigurable System to Accelerate Octree Based 3D Graphics. PDPTA 2000
1990 – 1999
- 1999
- [c11]Axel Löffler, Jürgen Klahold, Manfred Hußmann, Ulrich Rückert:
A Visualization Tool for the Mini-Robot Khepera: Behavior Analysis and Optimization. ECAL 1999: 329-333 - 1998
- [j5]Joaquin Sitte, Tim Körner, Ulrich Rückert:
Local cluster neural net analog VLSI design. Neurocomputing 19(1-3): 185-197 (1998) - [j4]Stefan Rüping, Mario Porrmann, Ulrich Rückert:
SOM accelerator system. Neurocomputing 21(1-3): 31-50 (1998) - 1997
- [c10]Axel Löffler, Jürgen Klahold, Ulrich Rückert:
The Dynamical Nightwatch's Problem Solved by the Autonomous Micro-Robot Khepera. Artificial Evolution 1997: 303-314 - [c9]Mario Porrmann, Ulrich Rückert, Karl Michael Marks, Jörg Landmann:
HiBRIC-MEM, a Memory Controller for PowerPC Based Systems. EUROMICRO 1997: 653-657 - [c8]Stefan Rüping, Mario Porrmann, Ulrich Rückert:
A High Performance SOFM Hardware-System. IWANN 1997: 772-781 - 1995
- [c7]Tim Körner, Ulrich Rückert, Shlomo Geva, Kurt Malmstrom, Joaquin Sitte:
A VLSI friendly neural network with localised transfer functions. ICNN 1995: 169-174 - 1993
- [j3]Ulrich Rückert, Andreas Funke, Christof Pintaske:
Acceleratorboard for neural associative memories. Neurocomputing 5(1): 39-49 (1993) - [c6]Stefan Rüping, Ulrich Rückert, Karl Goser:
Hardware Design for Self-Organizing Feature Maps with Binary Input Vectors. IWANN 1993: 488-493 - 1991
- [c5]Karl Goser, Ulrich Hilleringmann, Ulrich Rückert:
Application and Implementation of Neural Networks in Microelectronics. IWANN 1991: 243-259 - [c4]Günther Palm, Ulrich Rückert, Alfred Ultsch:
Wissensverarbeitung in neuronaler Architektur. Wissensbasierte Systeme 1991: 508-518 - 1990
- [c3]Ulrich Rückert:
VLSI Implementation of an Associative Memory Based on Distributed Storage of Information. EURASIP Workshop 1990: 267-276
1980 – 1989
- 1989
- [b1]Ulrich Rückert:
Integrationsgerechte Umsetzung von assoziativen Netzwerken mit verteilter Speicherung. Technical University of Dortmund, Germany, VDI-Verlag 1989, ISBN 978-3-18-143010-1, pp. 1-149 - [j2]Karl Goser, Ulrich Hilleringmann, Ulrich Rückert, Klaus Schumacher:
VLSI technologies for artificial neural networks. IEEE Micro 9(6): 28-44 (1989) - [c2]Karl Goser, Karl Michael Marks, Ulrich Rückert, Viktor Tryba:
Selbstorganisierende Parameterkarten zur Prozeßüberwachung und -voraussage. Wissensbasierte Systeme 1989: 227-237 - 1986
- [c1]Ulrich Rückert, Karl Goser:
Adaptive Associate Systems for VLSI. WOPPLOT 1986: 166-184 - 1984
- [j1]Karl Goser, Carsten Foelster, Ulrich Rückert:
Intelligent memories in VLSI. Inf. Sci. 34(1): 61-82 (1984)
Coauthor Index
[c143] [i5] [j29] [j28] [j26] [c129] [c127] [i3] [j24] [c125] [c123] [c115] [c113] [c111] [c109] [c108] [c107] [j23] [j22] [j21] [c103] [c100] [c98] [c96] [c95] [c94] [j19] [j18] [c92] [j16] [c88] [c87] [c86] [j14] [c85] [c77] [j11] [c71] [c70] [c65] [c62] [c56] [j9] [c48] [c47] [c46] [c44] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c30] [c28] [c27] [c26] [j8] [c24] [c23] [c22] [c18] [c12] [j4] [c9] [c8]
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