@article{16540,
  author       = {{Dellnitz, Michael and Klus, Stefan}},
  issn         = {{1468-9367}},
  journal      = {{Dynamical Systems}},
  pages        = {{61--79}},
  title        = {{{Sensing and control in symmetric networks}}},
  doi          = {{10.1080/14689367.2016.1215410}},
  year         = {{2017}},
}

@article{16581,
  author       = {{Dellnitz, Michael and Klus, Stefan and Ziessler, Adrian}},
  issn         = {{1536-0040}},
  journal      = {{SIAM Journal on Applied Dynamical Systems}},
  pages        = {{120--138}},
  title        = {{{A Set-Oriented Numerical Approach for Dynamical Systems with Parameter Uncertainty}}},
  doi          = {{10.1137/16m1072735}},
  year         = {{2017}},
}

@article{16657,
  author       = {{Peitz, Sebastian and Schäfer, Kai and Ober-Blöbaum, Sina and Eckstein, Julian and Köhler, Ulrich and Dellnitz, Michael}},
  issn         = {{2405-8963}},
  journal      = {{IFAC-PapersOnLine}},
  pages        = {{8674--8679}},
  title        = {{{A Multiobjective MPC Approach for Autonomously Driven Electric Vehicles * *This research was funded by the German Federal Ministry of Education and Research (BMBF) within the Leading-Edge Cluster Intelligent Technical Systems OstWestfalenLippe (it’s OWL).}}},
  doi          = {{10.1016/j.ifacol.2017.08.1526}},
  year         = {{2017}},
}

@misc{104,
  author       = {{Diemert, Denis}},
  publisher    = {{Universität Paderborn}},
  title        = {{{EAX - An Authenticated Encryption Mode for Block Ciphers}}},
  year         = {{2017}},
}

@inproceedings{105,
  abstract     = {{We initiate the study of network monitoring algorithms in a class of hybrid networks in which the nodes are connected by an external network and an internal network (as a short form for externally and internally controlled network). While the external network lies outside of the control of the nodes (or in our case, the monitoring protocol running in them) and might be exposed to continuous changes, the internal network is fully under the control of the nodes. As an example, consider a group of users with mobile devices having access to the cell phone infrastructure. While the network formed by the WiFi connections of the devices is an external network (as its structure is not necessarily under the control of the monitoring protocol), the connections between the devices via the cell phone infrastructure represent an internal network (as it can be controlled by the monitoring protocol). Our goal is to continuously monitor properties of the external network with the help of the internal network. We present scalable distributed algorithms that efficiently monitor the number of edges, the average node degree, the clustering coefficient, the bipartiteness, and the weight of a minimum spanning tree. Their performance bounds demonstrate that monitoring the external network state with the help of an internal network can be done much more efficiently than just using the external network, as is usually done in the literature.}},
  author       = {{Gmyr, Robert and Hinnenthal, Kristian and Scheideler, Christian and Sohler, Christian}},
  booktitle    = {{Proceedings of the 44th International Colloquium on Automata, Languages, and Programming (ICALP)}},
  pages        = {{137:1----137:15}},
  title        = {{{Distributed Monitoring of Network Properties: The Power of Hybrid Networks}}},
  doi          = {{10.4230/LIPIcs.ICALP.2017.137}},
  year         = {{2017}},
}

@misc{10589,
  author       = {{Fürnkranz, J. and Hüllermeier, Eyke}},
  booktitle    = {{Encyclopedia of Machine Learning and Data Mining}},
  pages        = {{1000--1005}},
  title        = {{{Preference Learning}}},
  year         = {{2017}},
}

@phdthesis{10594,
  abstract     = {{Multiobjective optimization plays an increasingly important role in modern applications, where several criteria are often of equal importance. The task in multiobjective optimization and multiobjective optimal control is therefore to compute
the set of optimal compromises (the Pareto set) between the conflicting objectives.

Since – in contrast to the solution of a single objective optimization problem – the
Pareto set generally consists of an infinite number of solutions, the computational
effort can quickly become challenging. This is even more the case when many problems have to be solved, when the number of objectives is high, or when the objectives
are costly to evaluate. Consequently, this thesis is devoted to the identification and
exploitation of structure both in the Pareto set and the dynamics of the underlying
model as well as to the development of efficient algorithms for solving problems with
additional parameters, with a high number of objectives or with PDE-constraints.
These three challenges are addressed in three respective parts.

In the first part, predictor-corrector methods are extended to entire Pareto sets.
When certain smoothness assumptions are satisfied, then the set of parameter dependent Pareto sets possesses additional structure, i.e. it is a manifold. The tangent
space can be approximated numerically which yields a direction for the predictor
step. In the corrector step, the predicted set converges to the Pareto set at a new
parameter value. The resulting algorithm is applied to an example from autonomous
driving.

In the second part, the hierarchical structure of Pareto sets is investigated. When
considering a subset of the objectives, the resulting solution is a subset of the Pareto
set of the original problem. Under additional smoothness assumptions, the respective subsets are located on the boundary of the Pareto set of the full problem. This
way, the “skeleton” of a Pareto set can be computed and due to the exponential
increase in computing time with the number of objectives, the computations of
these subsets are significantly faster which is demonstrated using an example from
industrial laundries.

In the third part, PDE-constrained multiobjective optimal control problems are
addressed by reduced order modeling methods. Reduced order models exploit the
structure in the system dynamics, for example by describing the dynamics of only the
most energetic modes. The model reduction introduces an error in both the function values and their gradients, which has to be taken into account in the development of
algorithms. Both scalarization and set-oriented approaches are coupled with reduced
order modeling. Convergence results are presented and the numerical benefit is
investigated. The algorithms are applied to semi-linear heat flow problems as well
as to the Navier-Stokes equations.
}},
  author       = {{Peitz, Sebastian}},
  title        = {{{ 	Exploiting structure in multiobjective optimization and optimal control}}},
  doi          = {{10.17619/UNIPB/1-176}},
  year         = {{2017}},
}

@article{10600,
  author       = {{H.W. Leong, Philip and Amano, Hideharu and Anderson, Jason and Bertels, Koen and M.P. Cardoso, Jo\~{a}o and Diessel, Oliver and Gogniat, Guy and Hutton, Mike and Lee, JunKyu and Luk, Wayne and Lysaght, Patrick and Platzner, Marco and K. Prasanna, Viktor and Rissa, Tero and Silvano, Cristina and So, Hayden and Wang, Yu}},
  journal      = {{ACM Transactions on Reconfigurable Technology and Systems}},
  title        = {{{The First 25 Years of the FPL Conference – Significant Papers}}},
  doi          = {{10.1145/2996468}},
  year         = {{2017}},
}

@article{10601,
  author       = {{F. DeMara, Ronald and Platzner, Marco and Ottavi, Marco}},
  journal      = {{IEEE Transactions on Computers and IEEE Transactions on Emerging Topics in Computing}},
  title        = {{{Innovation in Reconfigurable Computing Fabrics: from Devices to Architectures (guest editorial)}}},
  doi          = {{10.1109/TETC.2016.2641599}},
  year         = {{2017}},
}

@article{10611,
  author       = {{Anwer, Jahanzeb and Platzner, Marco}},
  journal      = {{Microprocessors and Microsystems}},
  pages        = {{160--172}},
  publisher    = {{Elsevier}},
  title        = {{{Evaluating fault-tolerance of redundant FPGA structures using Boolean difference calculus}}},
  doi          = {{10.1016/j.micpro.2017.06.002}},
  year         = {{2017}},
}

@misc{10613,
  author       = {{Kaltschmidt, Christian}},
  publisher    = {{Paderborn University}},
  title        = {{{An AR-based Training and Assessment System for Myoelectrical Prosthetic Control}}},
  year         = {{2017}},
}

@inproceedings{10630,
  author       = {{Boschmann, Alexander and Thombansen, Georg and Witschen, Linus Matthias and Wiens, Alex and Platzner, Marco}},
  booktitle    = {{Design, Automation and Test in Europe (DATE)}},
  title        = {{{A Zynq-based dynamically reconfigurable high density myoelectric prosthesis controller}}},
  doi          = {{10.23919/DATE.2017.7927137}},
  year         = {{2017}},
}

@misc{10666,
  author       = {{Riaz, Umair}},
  publisher    = {{Paderborn University}},
  title        = {{{Acceleration of Industrial Analytics Functions on a Platform FPGA}}},
  year         = {{2017}},
}

@inproceedings{10672,
  author       = {{Ho, Nam and Ashraf, Ishraq Ibne and Kaufmann, Paul and Platzner, Marco}},
  booktitle    = {{Proc. Design, Automation and Test in Europe Conf. (DATE)}},
  title        = {{{Accurate Private/Shared Classification of Memory Accesses: a Run-time Analysis System for the LEON3 Multi-core Processor}}},
  doi          = {{10.23919/DATE.2017.7927096}},
  year         = {{2017}},
}

@inproceedings{10676,
  author       = {{Ho, Nam and Kaufmann, Paul and Platzner, Marco}},
  booktitle    = {{2017 International Conference on Field Programmable Technology (ICFPT)}},
  keywords     = {{Linux, cache storage, microprocessor chips, multiprocessing systems, LEON3-Linux based multicore processor, MiBench suite, block sizes, cache adaptation, evolvable caches, memory-to-cache-index mapping function, processor caches, reconfigurable cache mapping optimization, reconfigurable hardware technology, replacement strategies, standard Linux OS, time a complete hardware implementation, Hardware, Indexes, Linux, Measurement, Multicore processing, Optimization, Training}},
  pages        = {{215--218}},
  title        = {{{Evolvable caches: Optimization of reconfigurable cache mappings for a LEON3/Linux-based multi-core processor}}},
  doi          = {{10.1109/FPT.2017.8280144}},
  year         = {{2017}},
}

@article{10692,
  author       = {{Shen, Cong and Kaufmann, Paul and Braun, Martin}},
  journal      = {{Elsevier International Journal of Electrical Power and Energy Systems (IJEPES)}},
  title        = {{{Three-Stage Power System Restoration Methodology Considering Renewable Energies}}},
  year         = {{2017}},
}

@misc{10708,
  author       = {{Dietrich, Andreas}},
  publisher    = {{Paderborn University}},
  title        = {{{Reconfigurable Cryptographic Services}}},
  year         = {{2017}},
}

@misc{1073,
  author       = {{Nachtigall, Simon}},
  publisher    = {{Universität Paderborn}},
  title        = {{{Sortieren dynamischer Daten}}},
  year         = {{2017}},
}

@misc{1074,
  author       = {{Pukrop, Simon}},
  publisher    = {{Universität Paderborn}},
  title        = {{{Robuste Optimierung in Congestion Games}}},
  year         = {{2017}},
}

@article{10740,
  author       = {{Shen, Cong and Kaufmann, Paul and Braun, Martin}},
  journal      = {{The Journal of Engineering}},
  pages        = {{19pp}},
  title        = {{{Fast Network Restoration by Partitioning of Parallel Black Start Zones}}},
  doi          = {{10.1049/joe.2017.0032}},
  year         = {{2017}},
}