@article{HoosKaminskiLindaueretal.2015, author = {Hoos, Holger and Kaminski, Roland and Lindauer, Marius and Schaub, Torsten H.}, title = {aspeed: Solver scheduling via answer set programming}, series = {Theory and practice of logic programming}, volume = {15}, journal = {Theory and practice of logic programming}, publisher = {Cambridge Univ. Press}, address = {New York}, issn = {1471-0684}, doi = {10.1017/S1471068414000015}, pages = {117 -- 142}, year = {2015}, abstract = {Although Boolean Constraint Technology has made tremendous progress over the last decade, the efficacy of state-of-the-art solvers is known to vary considerably across different types of problem instances, and is known to depend strongly on algorithm parameters. This problem was addressed by means of a simple, yet effective approach using handmade, uniform, and unordered schedules of multiple solvers in ppfolio, which showed very impressive performance in the 2011 Satisfiability Testing (SAT) Competition. Inspired by this, we take advantage of the modeling and solving capacities of Answer Set Programming (ASP) to automatically determine more refined, that is, nonuniform and ordered solver schedules from the existing benchmarking data. We begin by formulating the determination of such schedules as multi-criteria optimization problems and provide corresponding ASP encodings. The resulting encodings are easily customizable for different settings, and the computation of optimum schedules can mostly be done in the blink of an eye, even when dealing with large runtime data sets stemming from many solvers on hundreds to thousands of instances. Also, the fact that our approach can be customized easily enabled us to swiftly adapt it to generate parallel schedules for multi-processor machines.}, language = {en} } @incollection{KiyGessnerLuckeetal.2015, author = {Kiy, Alexander and Geßner, Hendrik and Lucke, Ulrike and Gr{\"u}newald, Franka}, title = {A Hybrid and Modular Framework for Mobile Campus Applications}, series = {i-com}, volume = {2015}, booktitle = {i-com}, number = {14}, publisher = {de Gruyter}, address = {Berlin}, issn = {2196-6826}, doi = {10.1515/icom-2015-0016}, publisher = {Universit{\"a}t Potsdam}, pages = {63 -- 73}, year = {2015}, abstract = {Mobile devices and associated applications (apps) are an indispensable part of daily life and provide access to important information anytime and anywhere. However, the availability of university-wide services in the mobile sector is still poor. If they exist they usually result from individual activities of students and teachers. Mobile applications can have an essential impact on the improvement of students' self-organization as well as on the design and enhancement of specific learning scenarios, though. This article introduces a mobile campus app framework, which integrates central campus services and decentralized learning applications. An analysis of strengths and weaknesses of different approaches is presented to summarize and evaluate them in terms of requirements, development, maintenance and operation. The article discusses the underlying service-oriented architecture that allows transferring the campus app to other universities or institutions at reasonable cost. It concludes with a presentation of the results as well as ongoing discussions and future work}, language = {en} } @article{LamprechtMargaria2015, author = {Lamprecht, Anna-Lena and Margaria, Tiziana}, title = {Scientific workflows and XMDD}, series = {Process design for natural scientists}, journal = {Process design for natural scientists}, editor = {Lamprecht, Anna-Lena and Margaria, Tiziana}, publisher = {Springer}, address = {Berlin}, isbn = {978-3-662-45006-2}, pages = {1 -- 13}, year = {2015}, language = {en} } @article{GruenewaldMeinel2015, author = {Gr{\"u}newald, Franka and Meinel, Christoph}, title = {Implementation and Evaluation of Digital E-Lecture Annotation in Learning Groups to Foster Active Learning}, series = {IEEE transactions on learning technologies}, volume = {8}, journal = {IEEE transactions on learning technologies}, number = {3}, publisher = {Inst. of Electr. and Electronics Engineers}, address = {Los Alamitos}, issn = {1939-1382}, doi = {10.1109/TLT.2015.2396042}, pages = {286 -- 298}, year = {2015}, abstract = {The use of video lectures in distance learning involves the two major problems of searchability and active user participation. In this paper, we promote the implementation and usage of a collaborative educational video annotation functionality to overcome these two challenges. Different use cases and requirements, as well as details of the implementation, are explained. Furthermore, we suggest more improvements to foster a culture of participation and an algorithm for the extraction of semantic data. Finally, evaluations in the form of user tests and questionnaires in a MOOC setting are presented. The results of the evaluation are promising, as they indicate not only that students perceive it as useful, but also that the learning effectiveness increases. The combination of personal lecture video annotations with a semantic topic map was also evaluated positively and will thus be investigated further, as will the implementation in a MOOC context.}, language = {en} } @phdthesis{SadrAzodi2015, author = {Sadr-Azodi, Amir Shahab}, title = {Towards Real-time SIEM-based Network monitoring and Intrusion Detection through Advanced Event Normalization}, school = {Universit{\"a}t Potsdam}, pages = {144}, year = {2015}, language = {en} } @article{OmranianMuellerRoeberNikoloski2015, author = {Omranian, Nooshin and M{\"u}ller-R{\"o}ber, Bernd and Nikoloski, Zoran}, title = {Segmentation of biological multivariate time-series data}, series = {Scientific reports}, volume = {5}, journal = {Scientific reports}, publisher = {Nature Publ. Group}, address = {London}, issn = {2045-2322}, doi = {10.1038/srep08937}, pages = {6}, year = {2015}, abstract = {Time-series data from multicomponent systems capture the dynamics of the ongoing processes and reflect the interactions between the components. The progression of processes in such systems usually involves check-points and events at which the relationships between the components are altered in response to stimuli. Detecting these events together with the implicated components can help understand the temporal aspects of complex biological systems. Here we propose a regularized regression-based approach for identifying breakpoints and corresponding segments from multivariate time-series data. In combination with techniques from clustering, the approach also allows estimating the significance of the determined breakpoints as well as the key components implicated in the emergence of the breakpoints. Comparative analysis with the existing alternatives demonstrates the power of the approach to identify biologically meaningful breakpoints in diverse time-resolved transcriptomics data sets from the yeast Saccharomyces cerevisiae and the diatom Thalassiosira pseudonana.}, language = {en} }