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1. CNI
2. News: 12/16/2020
Cooperative Validation of CAM Position Information Using C-V2X

location data contained within the payload. Such validation is helpful in case of technical failures of positioning modules or intentional transmission of fraudulent location data. Our analysis based on [...] technology for mobile robot applications. In those scenarios, the vehicles typically exchange location data obtained by on-board positioning modules such as satellite receivers or sensor-based SLAM (Simultaneous …
1. sfs
2. Research
3. Projects
4. Projektdetailseiten
Project PURESCRAP– Social Research Centre (sfs)

feedback to the analysis methods. Sensors will thereby be applied at selected locations to enable improved purification and valorisation of post-consumer scrap. This sensor-based acquiring of data of the scrap [...] precision in the analysis, the approach is to combine optical sensors for visual recognition with chemical sensors. Economic evaluation will be done through a Life Cycle Cost (LCC) analysis, to establish [...] available technologies to reduce impurities. This is achieved through novel sensor combinations and analysis supported by artificial intelligence. The Social Research Centre – as member of the Clean Steel …
1. AE
2. Studium
Courses

maxSAT Advanced data structures, e.g. B-trees, data structures for disjoint sets, augmentation of data structures Analysis techniques, e.g. amortized analysis of algorithms, analysis of randomized algorithms [...] Project Type: 4 SWS project Regularly offered courses Bachelor Data Structures, Algorithms and Programming 2 (DAP 2)* Description In the lecture "Data Structures, Algorithms and Programming 2" (DAP 2) we deal [...] with techniques for designing and analyzing algorithms and data structures. In this course you will learn to: Describe basic algorithms and data structures, apply them to small examples and adapt them to …
1. Physik
2. Event: 2/20/2024
Thesis defense of Salvatore La Cagnina

to Monte Carlo event generator tuning, grounded in Bayesian reasoning, is presented. The Bayesian Analysis Toolkit (BAT.jl) is introduced as a modern tool for performing Bayesian inference. A numerical test [...] hadronization models within the Herwig Monte Carlo event generator (MCEG) are successfully tuned to data from the LEP experiments. Several aspects of the tuning procedure are investigated, such as parameter [...] generated using the tuned parameters, obtained from the global mode of the posterior, are compared to data through a 2 test. The resulting p-values for the tuned simulations significantly outperform those …
1. MSIND
2. Studies
3. Teaching
Industrial Data Science 2 SS 24

Description Industrial Data Science 2, or InDaS 2 for short, is an interdisciplinary course that builds on the master's course Industrial Data Science 1. In the summer semester, students from the faculties of [...] Industrial Data Science 2 Summer 2024 Kick-off The first meeting will take place on April 12th, 2024, from 10.15-11.45. Moodle All relevant course information can be found in the Moodle room . Description [...] of Mechanical Engineering, Statistics and Computer Science work on real-world data science use cases from industry. The use cases come from diverse industries, such as electronics manufacturing, the automotive …
1. MSIND
2. Studies
3. Teaching
Industrial Data Science 2 SS 2023

Industrial Data Science 2, or InDaS 2 for short, is an interdisciplinary course that builds on the master's course Industrial Data Science 1. In the summer semester, students from the faculties of Mechanical [...] Industrial Data Science 2 Summer 2023 Kick-off The first meeting will take place on April, 14th from 10.15-11.45. Moodle All relevant course information can be found in the Moodle room . Description Industrial [...] Mechanical Engineering, Statistics and Computer Science work on real-world data science use cases from industry. The use cases come from diverse industries, such as electronics manufacturing, the automotive …
1. ISF
2. Research
3. Simulation and Process Design
DFG_BI_498_157_e_RS

available data sets are often used, which have often been generated synthetically. These data are often free of disturbance variables and differ from production-related measurement data. Measurement data acquired [...] y, such data sets are not made freely available. Within the scope of the proposed research project, a concept for process and research data management is to be developed and all training data used for [...] Learning based clustering of streamed process data for the efficient modelling and prediction of characteristics in milling processes based on the integration of domain knowledge – ClusterSim The high …
1. AFE
2. Forschung
3. Algorithmic Foundations
Projects

priority programme on Algorithms for BIG DATA and has been funded from 2014 to 2022. Visit Project Website Practical and Parallel Text Compression for Highly Repetitive Data We want to develop practical algorithms [...] RFID chips, and cameras that continuously produce data and communicate within these cyber-physical systems (CPSs). A natural representation of a linked data set is provided by a graph, where entities are [...] environments. This project is part of the SFB 876: Providing Information by Resource-Constrained Data Analysis (project A6) and has been funded from 2010 to 2022. Visit Project Website …
1. CNI
2. News: 12/15/2021
Congratulations to the 3rd PhD in 2021

collect sensor data and contribute to a crowd-sourced Big Data marketplace. The focus lies on the simultaneous data collection of many thousands of vehicles, which have to successfully deliver data in a defined [...] g., for teleoperation of semiautonomous systems, and high data rates, e.g., for transmission of real-time video streams or vehicle sensor data. The high mobility of vehicles intensifes this requirement [...] uploading scheme and the novel Common Vehicle Information Model (CVIM) encoding of the sensor data to optimize data uploads. In the second scenario, SKATES is implemented in unmanned aerial and ground robotic …
1. WI
2. Teaching
Theses

solutions. Richard Lackes Data management, data analysis, Big Data Using text-mining techniques to extract relevant information from texts for business use. There is a huge amount of data on the internet. One [...] conference on Management of data (Vol. 29, pp. 93-104). Ilyas, I. F., & Chu, X. (2015). Trends in Cleaning Relational Data: Consistency and Deduplication. Julian Sengewald Business Data Science Primarily aimed [...] e methods Simulation and optimisation of data management in distributed systems with the help of AI methods. In order to cope with Big Data requirements, data stocks are distributed across several computer …