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Publication without files 2023 IEEE 7th International Conference on Fog and Edge Computing (ICFEC)(IEEE, 2023)Publicationtype: Conference ProceedingsCitation Publisher Version:Proceedings of the 7th IEEE International Conference on Fog and Edge Computing (ICFEC 2023)Publisher DOI:10.1109/icfec57925.2023 - Some of the metrics are blocked by yourconsent settings
Publication without files 2023 IEEE International Conference on Cloud Engineering (IC2E)(IEEE, 2023)Publicationtype: Conference ProceedingsCitation Publisher Version:Proceedings of the 11th IEEE International Conference on Cloud Engineering (IC2E 2023)Publisher DOI:10.1109/ic2e59103.20231 - Some of the metrics are blocked by yourconsent settings
Publication without files 2023 IEEE International Conference on Cloud Engineering, IC2E 2023(IEEE, 2023-09)Publicationtype: Conference ProceedingsCitation Publisher Version:2023 IEEE International Conference on Cloud Engineering, IC2E 2023 2023 979-8-3503-4394-6Publisher DOI:10.1109/ic2e59103.2023 - Some of the metrics are blocked by yourconsent settings
Publication without files 2024 IEEE 8th International Conference on Fog and Edge Computing (ICFEC)(IEEE, 2024-05)Publicationtype: Conference ProceedingsCitation Publisher Version:2024 IEEE 8th International Conference on Fog and Edge Computing (ICFEC) 979-8-3503-6136-0Publisher DOI:10.1109/icfec61590.20246 - Some of the metrics are blocked by yourconsent settings
Publication without files 2024 IEEE International Conference on Cloud Engineering (IC2E)(IEEE, 2024-09)Publicationtype: Conference ProceedingsCitation Publisher Version:2024 IEEE International Conference on Cloud Engineering (IC2E)Publisher DOI:10.1109/ic2e61754.20241 - Some of the metrics are blocked by yourconsent settings
Publication without files The 6th IEEE International Conference on Fog and Edge Computing, ICFEC 2022(IEEE, 2022-05)Publicationtype: Conference ProceedingsCitation Publisher Version:The 6th IEEE International Conference on Fog and Edge Computing, ICFEC 2022 978-1-6654-9524-0Publisher DOI:10.1109/icfec54809.2022 - Some of the metrics are blocked by yourconsent settings
Publication without files The 7th IEEE International Conference on Fog and Edge Computing, ICFEC 2023(IEEE, 2023-05)Publicationtype: Conference ProceedingsCitation Publisher Version:The 7th IEEE International Conference on Fog and Edge Computing, ICFEC 2023 979-8-3503-2288-0Publisher DOI:10.1109/icfec57925.2023 - Some of the metrics are blocked by yourconsent settings
Publication with files 8. GI/ITG KuVS Fachgespräch "Sensornetze"(2009) ;Institut für Telematik, Technische Universität Hamburg-HarburgThe 8th expert discussion on sensor networks was held on the 13th and 14th of August, 2009 at Hamburg University of Technology. The goal of this expert meeting is to provide researchers of both university and industry a forum for discussion and exchange. This technical report contains all contributions presented at this meeting.Publicationtype: Conference ProceedingsTORE-DOI:10.15480/882.5022726 3118 - Some of the metrics are blocked by yourconsent settings
Publication without files A dynamic topology control algorithm for wireless sensor networksTopology control algorithms (TCAs) are used in wireless sensor networks to reduce interference by carefully choosing communication links. Since the quality of the wireless channel is subject to fluctuations over time TCAs must repeatedly recompute the topology. TCAs ensure quick adjustment to new or deteriorating links while preventing precipitant changes due to transient faults. This paper contributes a novel dynamic TCA that provides a compromise between agility and stability, and constructs connected topologies for low latency routing. Furthermore, it enforces memory restrictions and is of high practical relevance for real sensor network hardware.Publicationtype: Conference ProceedingsCitation Publisher Version:Ad-hoc, Mobile, and Wireless Networks. ADHOC-NOW 2015. Lecture Notes in Computer Science 9143: 3-18 (2015)Publisher DOI:10.1007/978-3-319-19662-6_169 - Some of the metrics are blocked by yourconsent settings
Publication without files A hybrid model for the 3D computation pile driving noisePiles are the state of the art when mounting offshore constructions to the seafloor, especially for the foundation of wind turbines. During the pile driving process, the pile emits pressure waves directly into the water and the seabed. These waves lead to high underwater noise levels that are potentially harmful to the marine environment. Therefore, several countries have defined limiting values for the noise levels, in order to protect the marine fauna. Noise mitigation systems, such as bubble curtains or mitigation screens, have been developed in order to fulfil these limits. There are several factors influencing the considered noise levels, e.g., the hammer type, the applied hammer energy, the pile geometry, the water depth, the soil type, and the layering of the sediments. All listed factors vary for different piling locations, especially the water depth and sediment characteristics. In order to take all these influences and their interaction into account, numerical models are necessary. An accurate prediction of pile driving noise is often mandatory to check, if noise mitigation systems are needed or to improve the set-up of existing noise reduction measures. Pile driving noise models have been developed by only a few institutions. Most of them are based on a 2D-model for the close vicinity of the pile solved with the finite element method (FEM) and a far-field model for long range predictions. In the current contribution a well validated 2D-FE-model in time domain for the computation of pile driving noise up to distances of 1 km is used. The farfield prediction of noise levels is done by employing the parabolic equations (PE) method, which is also able to take 3D-effects into account. The FE-model for the near-field is split into a precalculation, which computes the interaction of hammer and pile, and the main acoustical model. Within the pre-calculation, all parts of the hammer and the pile are discretized in detail and an excitation signal (e.g. force or velocity) at the pile head is derived. This excitation is used as a boundary condition at the pile head within the main acoustical model, which incorporates pile, water column, and soil. Furthermore, in the model it is possible to consider noise mitigation systems. For the far-field PE computation the split-step Pade technique is used. The necessarý starting field is derived from the results of the FE-model. Within the PE-model, the characteristic acoustical properties of the seabed are incorporated. The PE-model is able to compute 3Deffects, which occur, e.g., due to a varying water depth caused by canyons, shores, or sand dunes. Within this contribution a validation of the hybrid FEM/PE-model for a case with a flat bathymetry is shown. Moreover, the validated case is used to show possible 3D-effects induced by a varying bathymetry. Finally, the influence of a heavily changing bathymetry of a real-life future pile driving scenario is shown.Publicationtype: Conference ProceedingsCitation Publisher Version:OCEANS 2019, Marseille: Artikel Nr. 19047800 (17-20 June 2019)Publisher DOI:10.1109/OCEANSE.2019.8867294248 - Some of the metrics are blocked by yourconsent settings
Publication without files Active fluid borne noise reduction for aviation hydraulic systems(Technische Universität Dresden, 2016-03); ; ; The aviation environment holds challenging application constraints for efficient hydraulic system noise reduction devices. Besides strong limits on component weight and size, high safety and reliability standards demand simple solutions. Hence, b silencers like inline expansion chambers and Helmholtz-Resonators are state-of-the aboard commercial aircrafts. Unfortunately, they do not meet today's noise attenuation aims regarding passenger comfort and equipment durability. Significant attenuation performance is expected from active concepts that generate anti-phase noise However, such concepts remain a long term approach unless related costs, e.g. due to additional power allocation and real-time control equipment can be avoided. In t paper an active fluid borne noise attenuation concept is discussed that accounts for the mentioned constraints. An aircraft hydraulic pump is considered as main noise source The active attenuator is an in-house rotary valve design. The basic feature is a known direct shaft coupling principle of pump and rotary valve, so no speed/ frequency control of the valve and no separate power supply are required. The common-shaft principle further simplified here and proposed as integral feature of future 'smart pumps'.Publicationtype: Conference ProceedingsCitation Publisher Version:Proceedings of the 10th International Fluid Power Conference (IFK) : Volume 1; Symposium March 8: 307-318 (2016)9 - Some of the metrics are blocked by yourconsent settings
Publication without files Adapting co-simulation techniques to the virtual integration platform VIPERPublicationtype: Conference ProceedingsCitation Publisher Version:Otto von Estorff, Frank Thielecke (eds.): Proceedings of the 7th International Workshop on Aircraft System Technologies (2019)16 - Some of the metrics are blocked by yourconsent settings
Publication with files Adapting to the future : how digitalization shapes sustainable logistics and resilient supply chain management(epubli, 2021-12-01)This volume contains research contributions by an international group of authors addressing innovative and technology-based approaches for supply chain management. They present business models and investment options for enhanced strategic decision making as well as recent approaches for supply chain analytics and risk management. This volume, edited by Wolfgang Kersten, Christian Ringle and Thorsten Blecker, provides valuable insights into artificial intelligence and digital transformation in Supply Chain Management with regard to: - Advanced Manufacturing and Industry 4.0 - Artificial Intelligence and Blockchain - Business Analytics - Innovation and Technology Management - Supply Chain Risk and Security ManagementPublicationtype: Conference ProceedingsTORE-DOI:10.15480/882.3947.2Citation Publisher Version:Hamburg International Conference of Logistics (HICL 2021)514 379 - Some of the metrics are blocked by yourconsent settings
Publication with files Adapting to the future : maritime and city logistics in the context of digitalization and sustainability(epubli, 2021-12-01)This volume contains research contributions by an international group of authors addressing innovative and technology-based approaches for logistics and sustainability. They present simulation studies, systems and models for optimizations and digitalized solutions with a focus on maritime as well port and city logistics. This volume, edited by Carlos Jahn, Wolfgang Kersten, and Christian Ringle, provides valuable insights into digital transformation in logistics with regard to: - City Logistics - HICL and Practice - Excellence in Logistics and Supply Chain Management - Maritime Logistics - Port Logistics - SustainabilityPublicationtype: Conference ProceedingsTORE-DOI:10.15480/882.3948.2Citation Publisher Version:Hamburg International Conference of Logistics (HICL 2021)318 619 - Some of the metrics are blocked by yourconsent settings
Publication without files Advances in service-oriented and cloud computing(Springer, 2018)Publicationtype: Conference ProceedingsCitation Publisher Version:Communications in Computer and Information Science 707: (2018)Publisher DOI:10.1007/978-3-319-72125-523 - Some of the metrics are blocked by yourconsent settings
Publication with files AI-driven anomaly detection in oscilloscope images for post-silicon validation(2025-01) ;Akash, Kowshic A. ;Wulf, Tobias ;Valentin, Torsten ;Geist, Alexander; In the post-silicon validation process, different functionalities and boundaries of a system-on-chip (SoC) are tested, generating a large amount of data in the form of oscilloscope images, trace data, and log files. Oscilloscope images are used to visualize and analyze the digital I/O signals and play a crucial role in detecting anomalies. However, the debugging process of the oscilloscope images requires a lot of manual data analysis, which is time-consuming, inefficient, costly, and prone to errors. This paper proposes an artificial intelligence (AI) model to automatically detect anomalies in the oscilloscope images. Our proposed model uses a Convolutional Autoencoder (CAE), a neural network, which we train on real silicon data obtained from various post-silicon validation projects. While autoencoders have been used for anomaly detection, this is the first use to detect anomalies in oscilloscope images for post-silicon validation. Moreover, the state-of-the-art techniques use Reconstruction Error (RCE) as an anomaly detection metric, we show that a combination of RCE and Kernel Density Estimation (KDE) error metrics greatly reduces the false negatives (68%) for the anomalous category and improves the recall metric from 62% to 88%, making our approach 41% better. In addition, our proposed model achieves 99% precision in categorizing not anomalous data points. Furthermore, the proposed model has been deployed in the production environment, significantly reducing human effort.Publicationtype: Conference ProceedingsTORE-DOI:https://doi.org/10.15480/882.13719Citation Publisher Version:38th International Conference on VLSI Design and 24th International Conference on Embedded Systems (VLSID, 2025)39 51 - Some of the metrics are blocked by yourconsent settings
Publication with files Analysing visual-inertial odometry algorithms for the localization of industrial autonomous mobile robots in intralogistics and manufacturing(WGTL, 2024-09-26) ;Krishnamurthy, Aishwarya ;Adamanov, Asan; ; ;Rose, Hendrik WilhelmKüstner, DavidThe use of Autonomous Mobile Robots (AMR) plays asignificant role inthe automation of intralogisticsprocesses. For safe operation and navigation, high locali-zation accuracy is required. Common AMR systems rely oncost-intensive sensors such as LIDAR scanners. To en-able widespread use of AMRs the industry alternative so-lutions are required. This study explores stereo camera-based visual SLAM as a cost-effective alternative to con-ventional 3D LIDAR-based localization solutions for an industrial robot application. Using Stereolabs ZED 2I and Intel RealSense D455 cameras with ORB-SLAM3 and OpenVINS algorithms, we evaluated Mean Absolute Pose Error (APE) and Root Mean Square Pose Error (RPE). The highest accuracy was achieved with the ZED 2I with OpenVINS with an APE of 0.17m and an RPE of 0.02m while the use of a RealSense D455 showed an APE of 0.33m with an RPE of 0.02mPublicationtype: Conference ProceedingsTORE-DOI:https://doi.org/10.15480/882.13741Citation Publisher Version:20. Fachkolloquium Logistik, 2024Publisher DOI:10.2195/lj_proc_krishnamurthy_en_202410_011 8 - Some of the metrics are blocked by yourconsent settings
Publication with files Analysis of servo-constraints solution approaches for underactuated multibody systems(2018); The servo-constraints approach is an efficient method for computing inverse models of underactuated multibody systems. Underactuated multibody systems possess more degrees of freedom than independent control inputs. The inverse model can be used as a feedforward controller in a two degree of freedom control structure. Servo-constraints constrain the output to a specified trajectory and happend the equations of motion to form a set of differential-algebraic equations (DAEs). The resulting DAEs might be of higher differentiation index and are thus difficult to solve numerically. Here, different solution and analysis methods for the servo-constraints approach are compared. Especially, various solvers are analyzed with respect to real-time capability and accuracy.Publicationtype: Conference ProceedingsTORE-DOI:10.15480/882.4290Citation Publisher Version:The 5th Joint International Conference on Multibody System Dynamics (2018)100 193 - Some of the metrics are blocked by yourconsent settings
Publication with files Artificial intelligence and digital transformation in supply chain management : innovative approaches for supply chains(epubli GmbH, 2019-09-26)This volume contains research contributions by an international group of authors addressing innovative and technology-based approaches for logistics and supply chains. They present business models and investment options for enhanced strategic decision making as well as recent approaches for supply chain analytics and risk management. This volume, edited by Wolfgang Kersten, Thorsten Blecker and Christian Ringle, provides valuable insights into the digitalization of Supply Chain Management and Logistics with regard to: Innovation and Technology Management, Advanced Manufacturing and Industry 4.0. Supply Chain Analytics, Risk and Security ManagementPublicationtype: Conference ProceedingsTORE-DOI:10.15480/882.2460Citation Publisher Version:Hamburg International Conference of Logistics, HICL: 272449 6784 - Some of the metrics are blocked by yourconsent settings
Publication with files Berichte der Fachtagung Baustatik – Baupraxis 15 : 04. und 05. März 2024, Hamburg(Institut für Baustatik, Technische Universität Hamburg, 2024)Publicationtype: Conference ProceedingsTORE-DOI:10.15480/882.9247Citation Publisher Version:Oesterle, Bastian, Bögle, Annette, Weber, Wolfgang, Striefler, Lukas (Eds.): Berichte der 15. Fachtagung Baustatik - Baupraxis (2024)362 370