@phdthesis{Budig2018,
  author    = {Budig, Benedikt},
  title     = {Extracting Spatial Information from Historical Maps: Algorithms and Interaction},
  edition   = {1. Auflage},
  publisher = {W{\"u}rzburg University Press},
  address   = {W{\"u}rzburg},
  isbn      = {978-3-95826-092-4},
  doi       = {10.25972/WUP-978-3-95826-093-1},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-160955},
  school      = {W{\"u}rzburg University Press},
  pages     = {viii, 160},
  year      = {2018},
  abstract  = {Historical maps are fascinating documents and a valuable source of information for scientists of various disciplines. Many of these maps are available as scanned bitmap images, but in order to make them searchable in useful ways, a structured representation of the contained information is desirable. This book deals with the extraction of spatial information from historical maps. This cannot be expected to be solved fully automatically (since it involves difficult semantics), but is also too tedious to be done manually at scale. The methodology used in this book combines the strengths of both computers and humans: it describes efficient algorithms to largely automate information extraction tasks and pairs these algorithms with smart user interactions to handle what is not understood by the algorithm. The effectiveness of this approach is shown for various kinds of spatial documents from the 16th to the early 20th century.},
  subject      = {Karte},
  language  = {en}
}
@article{RodriguesWeissHewigetal.2021,
  author    = {Rodrigues, Johannes and Weiß, Martin and Hewig, Johannes and Allen, John J. B.},
  title     = {EPOS: EEG Processing Open-Source Scripts},
  series = {Frontiers in Neuroscience},
  volume    = {15},
  journal   = {Frontiers in Neuroscience},
  issn      = {1662-453X},
  doi       = {10.3389/fnins.2021.660449},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-240221},
  year      = {2021},
  abstract  = {Background: Since the replication crisis, standardization has become even more important in psychological science and neuroscience. As a result, many methods are being reconsidered, and researchers' degrees of freedom in these methods are being discussed as a potential source of inconsistencies across studies. New Method: With the aim of addressing these subjectivity issues, we have been working on a tutorial-like EEG (pre-)processing pipeline to achieve an automated method based on the semi-automated analysis proposed by Delorme and Makeig. Results: Two scripts are presented and explained step-by-step to perform basic, informed ERP and frequency-domain analyses, including data export to statistical programs and visual representations of the data. The open-source software EEGlab in MATLAB is used as the data handling platform, but scripts based on code provided by Mike Cohen (2014) are also included. Comparison with existing methods: This accompanying tutorial-like article explains and shows how the processing of our automated pipeline affects the data and addresses, especially beginners in EEG-analysis, as other (pre)-processing chains are mostly targeting rather informed users in specialized areas or only parts of a complete procedure. In this context, we compared our pipeline with a selection of existing approaches. Conclusion: The need for standardization and replication is evident, yet it is equally important to control the plausibility of the suggested solution by data exploration. Here, we provide the community with a tool to enhance the understanding and capability of EEG-analysis. We aim to contribute to comprehensive and reliable analyses for neuro-scientific research.},
  language  = {en}
}
@article{HirthSeufertLangeetal.2021,
  author    = {Hirth, Matthias and Seufert, Michael and Lange, Stanislav and Meixner, Markus and Tran-Gia, Phuoc},
  title     = {Performance evaluation of hybrid crowdsensing and fixed sensor systems for event detection in urban environments},
  series = {Sensors},
  volume    = {21},
  journal   = {Sensors},
  number    = {17},
  issn      = {1424-8220},
  doi       = {10.3390/s21175880},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-245245},
  year      = {2021},
  abstract  = {Crowdsensing offers a cost-effective way to collect large amounts of environmental sensor data; however, the spatial distribution of crowdsensing sensors can hardly be influenced, as the participants carry the sensors, and, additionally, the quality of the crowdsensed data can vary significantly. Hybrid systems that use mobile users in conjunction with fixed sensors might help to overcome these limitations, as such systems allow assessing the quality of the submitted crowdsensed data and provide sensor values where no crowdsensing data are typically available. In this work, we first used a simulation study to analyze a simple crowdsensing system concerning the detection performance of spatial events to highlight the potential and limitations of a pure crowdsourcing system. The results indicate that even if only a small share of inhabitants participate in crowdsensing, events that have locations correlated with the population density can be easily and quickly detected using such a system. On the contrary, events with uniformly randomly distributed locations are much harder to detect using a simple crowdsensing-based approach. A second evaluation shows that hybrid systems improve the detection probability and time. Finally, we illustrate how to compute the minimum number of fixed sensors for the given detection time thresholds in our exemplary scenario.},
  language  = {en}
}
@unpublished{Dandekar2023,
  author    = {Dandekar, Thomas},
  title     = {Analysing the phase space of the standard model and its basic four forces from a qubit phase transition perspective: implications for large-scale structure generation and early cosmological events},
  doi       = {10.25972/OPUS-29858},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-298580},
  pages     = {42},
  year      = {2023},
  abstract  = {The phase space for the standard model of the basic four forces for n quanta includes all possible ensemble combinations of their quantum states m, a total of n**m states. Neighbor states reach according to transition possibilities (S-matrix) with emergent time from entropic ensemble gradients. We replace the "big bang" by a condensation event (interacting qubits become decoherent) and inflation by a crystallization event - the crystal unit cell guarantees same symmetries everywhere. Interacting qubits solidify and form a rapidly growing domain where the n**m states become separated ensemble states, rising long-range forces stop ultimately further growth. After that very early events, standard cosmology with the hot fireball model takes over. Our theory agrees well with lack of inflation traces in cosmic background measurements, large-scale structure of voids and filaments, supercluster formation, galaxy formation, dominance of matter and life-friendliness. We prove qubit interactions to be 1,2,4 or 8 dimensional (agrees with E8 symmetry of our universe). Repulsive forces at ultrashort distances result from quantization, long-range forces limit crystal growth. Crystals come and go in the qubit ocean. This selects for the ability to lay seeds for new crystals, for self-organization and life-friendliness. We give energy estimates for free qubits vs bound qubits, misplacements in the qubit crystal and entropy increase during qubit decoherence / crystal formation. Scalar fields for color interaction and gravity derive from the permeating qubit-interaction field. Hence, vacuum energy gets low only inside the qubit crystal. Condensed mathematics may advantageously model free / bound qubits in phase space.},
  language  = {en}
}
@techreport{LhamoNguyenFitzek2022,
  type      = {Working Paper},
  author    = {Lhamo, Osel and Nguyen, Giang T. and Fitzek, Frank H. P.},
  title     = {Virtual Queues for QoS Compliance of Haptic Data Streams in Teleoperation},
  series = {W{\"u}rzburg Workshop on Next-Generation Communication Networks (WueWoWas'22)},
  journal   = {W{\"u}rzburg Workshop on Next-Generation Communication Networks (WueWoWas'22)},
  doi       = {10.25972/OPUS-28076},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-280762},
  pages     = {4},
  year      = {2022},
  abstract  = {Tactile Internet aims at allowing perceived real-time interactions between humans and machines. This requires satisfying a stringent latency requirement of haptic data streams whose data rates vary drastically as the results of perceptual codecs. This introduces a complex problem for the underlying network infrastructure to fulfill the pre-defined level of Quality of Service (QoS). However, novel networking hardware with data plane programming capability allows processing packets differently and opens up a new opportunity. For example, a dynamic and network-aware resource management strategy can help satisfy the QoS requirements of different priority flows without wasting precious bandwidth. This paper introduces virtual queues for service differentiation between different types of traffic streams, leveraging protocol independent switch architecture (PISA). We propose coordinating the management of all the queues and dynamically adapting their sizes to minimize packet loss and delay due to network congestion and ensure QoS compliance.},
  subject      = {Datennetz},
  language  = {en}
}
@techreport{VomhoffGeisslerHossfeld2022,
  type      = {Working Paper},
  author    = {Vomhoff, Viktoria and Geißler, Stefan and Hoßfeld, Tobias},
  title     = {Identification of Signaling Patterns in Mobile IoT Signaling Traffic},
  series = {W{\"u}rzburg Workshop on Next-Generation Communication Networks (WueWoWas'22)},
  journal   = {W{\"u}rzburg Workshop on Next-Generation Communication Networks (WueWoWas'22)},
  doi       = {10.25972/OPUS-28081},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-280819},
  pages     = {4},
  year      = {2022},
  abstract  = {We attempt to identify sequences of signaling dialogs, to strengthen our understanding of the signaling behavior of IoT devices by examining a dataset containing over 270.000 distinct IoT devices whose signaling traffic has been observed over a 31-day period in a 2G network [4]. We propose a set of rules that allows the assembly of signaling dialogs into so-called sessions in order to identify common patterns and lay the foundation for future research in the areas of traffic modeling and anomaly detection.},
  subject      = {Datennetz},
  language  = {en}
}
@misc{FunkenTscherner2019,
  author    = {Funken, Matthias and Tscherner, Michael},
  title     = {Jahresbericht 2018 des Rechenzentrums der Universit{\"a}t W{\"u}rzburg},
  edition   = {1. Auflage},
  organization    = {Rechenzentrum (Universit{\"a}t W{\"u}rzburg)},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-188265},
  pages     = {76},
  year      = {2019},
  abstract  = {Eine {\"U}bersicht {\"u}ber die Aktivit{\"a}ten des Rechenzentrums im Jahr 2018.},
  subject      = {Julius-Maximilians-Universit{\"a}t W{\"u}rzburg},
  language  = {de}
}
@misc{OPUS4-15355,
  title     = {Jahresbericht 2016 des Rechenzentrums der Universit{\"a}t W{\"u}rzburg},
  edition   = {1. Auflage},
  organization    = {Rechenzentrum (Universit{\"a}t W{\"u}rzburg)},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-153558},
  pages     = {72},
  year      = {2017},
  abstract  = {Das Dokument umfasst eine j{\"a}hrliche Zusammenfassung der Aktivit{\"a}ten des Rechenzentrums als zentraler IT-Dienstleister der Universit{\"a}t W{\"u}rzburg},
  subject      = {Jahresbericht},
  language  = {de}
}
@misc{FunkenTscherner2018,
  author    = {Funken, Matthias and Tscherner, Michael},
  title     = {Jahresbericht 2017 des Rechenzentrums der Universit{\"a}t W{\"u}rzburg},
  edition   = {1. Auflage},
  organization    = {Rechenzentrum (Universit{\"a}t W{\"u}rzburg)},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-168537},
  pages     = {68},
  year      = {2018},
  abstract  = {Eine {\"U}bersicht {\"u}ber die Aktivit{\"a}ten des Rechenzentrums im Jahr 2017.},
  subject      = {Julius-Maximilians-Universit{\"a}t W{\"u}rzburg},
  language  = {de}
}
@article{SchererFleishmanJonesetal.2021,
  author    = {Scherer, Marc and Fleishman, Sarel J. and Jones, Patrik R. and Dandekar, Thomas and Bencurova, Elena},
  title     = {Computational Enzyme Engineering Pipelines for Optimized Production of Renewable Chemicals},
  series = {Frontiers in Bioengineering and Biotechnology},
  volume    = {9},
  journal   = {Frontiers in Bioengineering and Biotechnology},
  issn      = {2296-4185},
  doi       = {10.3389/fbioe.2021.673005},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-240598},
  year      = {2021},
  abstract  = {To enable a sustainable supply of chemicals, novel biotechnological solutions are required that replace the reliance on fossil resources. One potential solution is to utilize tailored biosynthetic modules for the metabolic conversion of CO2 or organic waste to chemicals and fuel by microorganisms. Currently, it is challenging to commercialize biotechnological processes for renewable chemical biomanufacturing because of a lack of highly active and specific biocatalysts. As experimental methods to engineer biocatalysts are time- and cost-intensive, it is important to establish efficient and reliable computational tools that can speed up the identification or optimization of selective, highly active, and stable enzyme variants for utilization in the biotechnological industry. Here, we review and suggest combinations of effective state-of-the-art software and online tools available for computational enzyme engineering pipelines to optimize metabolic pathways for the biosynthesis of renewable chemicals. Using examples relevant for biotechnology, we explain the underlying principles of enzyme engineering and design and illuminate future directions for automated optimization of biocatalysts for the assembly of synthetic metabolic pathways.},
  language  = {en}
}