@inproceedings{BensbergAuthCzarnecki2018, author = {Bensberg, Frank and Auth, Gunnar and Czarnecki, Christian}, title = {Unterst{\"u}tzung von Wissenstransferprozessen durch Erschließung von Literaturdatenbanken - ein gestaltungsorientierter Ansatz auf Basis von Text Analytics}, series = {Wissenstransfer in der Wirtschaftsinformatik Fachgespr{\"a}ch im Rahmen der MKWI 2018}, booktitle = {Wissenstransfer in der Wirtschaftsinformatik Fachgespr{\"a}ch im Rahmen der MKWI 2018}, editor = {Hofmann, Georg Rainer and Alm, Wolfgang}, publisher = {IMI-Verlag ; Hochschule Aschaffenburg, Information Management Institut}, address = {Aschaffenburg}, isbn = {9783981844207}, pages = {6 -- 15}, year = {2018}, abstract = {Angesichts des anhaltenden Wachstums wissenschaftlicher Ver{\"o}ffentlichungen werden Instrumente ben{\"o}tigt, um Literaturanalysen durch Digitalisierung produktiver zu gestalten. Dieser Beitrag stellt einen Ansatz vor, der bibliographische Daten aus der Literaturdatenbank EBSCO Discovery Service mithilfe von Text-Analytics-Methoden erschließt. Die L{\"o}sung basiert auf dem Textanalysesystem IBM Watson Explorer und eignet sich f{\"u}r explorative Literaturanalysen, um beispielsweise den Status quo emergierender Technologiefelder in der Literatur zu reflektieren. Die generierten Ergebnisse sind in den Kontext der zunehmenden Werkzeugunterst{\"u}tzung des Literaturrechercheprozesses einzuordnen und k{\"o}nnen f{\"u}r intra- sowie interinstitutionelle Wissenstransferprozesse in Forschungs- und Beratungskontexten genutzt werden.}, language = {de} } @article{Golland2018, author = {Golland, Alexander}, title = {Umsetzung der Datenschutz-Grundverordnung - Neue Herausforderungen f{\"u}r Unternehmen}, series = {NWB Rechnungswesen - BBK}, journal = {NWB Rechnungswesen - BBK}, number = {1}, isbn = {0340-9848}, pages = {35 -- 39}, year = {2018}, abstract = {Nach einem intensiven politischen Diskurs wurde im vergangenen Jahr die Datenschutz-Grundverordnung (DSGVO) verabschiedet. Die DSGVO ersetzt zum 25.5.2018 die bislang geltende, aus dem Jahre 1995 stammende Datenschutz-Richtlinie 95/46/EG. Die Novellierung des Datenschutzrechts bringt zahlreiche neue Anforderungen mit sich. Unternehmen sind daher gezwungen, sich auf die {\"A}nderungen einzustellen, ihre datenschutzrelevanten Prozesse im Hinblick auf die neuen Anforderungen zu {\"u}berpr{\"u}fen und bis zum Mai 2018 an der DSGVO auszurichten. Der Beitrag gibt einen kurzen {\"U}berblick {\"u}ber die zentralen Aspekte der Datenschutzreform und die damit einhergehenden Herausforderungen f{\"u}r Unternehmen.}, language = {de} } @article{BergSchleserDelidovichetal.2018, author = {Berg, Alexander-Karl and Schleser, Markus and Delidovich, Artem and Houben, Alexander}, title = {Ultraschallunterst{\"u}tzter Schmelzklebstoffauftrag}, series = {adh{\"a}sion KLEBEN \& DICHTEN}, volume = {Volume 62}, journal = {adh{\"a}sion KLEBEN \& DICHTEN}, number = {Issue 12}, publisher = {Springer}, doi = {10.1007/s35145-018-0089-z}, pages = {32 -- 37}, year = {2018}, language = {de} } @article{Wollert2018, author = {Wollert, J{\"o}rg}, title = {TSN - Schluss mit dem Feldbuskrieg?}, series = {Design \& Elektronik}, journal = {Design \& Elektronik}, number = {3}, publisher = {WEKA-Fachmedien}, address = {M{\"u}nchen}, issn = {0933-8667}, pages = {26 -- 31}, year = {2018}, language = {de} } @inproceedings{BensbergAuthCzarneckietal.2018, author = {Bensberg, Frank and Auth, Gunnar and Czarnecki, Christian and W{\"o}rndle, Christopher}, title = {Transforming literature-intensive research processes through text analytics - design, implementation and lessons learned}, editor = {Kemal İlter, H.}, doi = {10.6084/m9.figshare.7582073.v1}, pages = {9 Seiten}, year = {2018}, abstract = {The continuing growth of scientific publications raises the question how research processes can be digitalized and thus realized more productively. Especially in information technology fields, research practice is characterized by a rapidly growing volume of publications. For the search process various information systems exist. However, the analysis of the published content is still a highly manual task. Therefore, we propose a text analytics system that allows a fully digitalized analysis of literature sources. We have realized a prototype by using EBSCO Discovery Service in combination with IBM Watson Explorer and demonstrated the results in real-life research projects. Potential addressees are research institutions, consulting firms, and decision-makers in politics and business practice.}, language = {en} } @incollection{FrotscherStaat2018, author = {Frotscher, Ralf and Staat, Manfred}, title = {Towards Patient-Specific Computational Modeling of hiPS-Derived Cardiomyocyte Function and Drug Action}, series = {Biological, Physical and Technical Basics of Cell Engineering}, booktitle = {Biological, Physical and Technical Basics of Cell Engineering}, editor = {Artmann, Gerhard and Temiz Artmann, Ayseg{\"u}l and Zhubanova, Azhar A. and Digel, Ilya}, publisher = {Springer}, address = {Singapore}, isbn = {978-981-10-7904-7}, doi = {10.1007/978-981-10-7904-7_10}, pages = {233 -- 250}, year = {2018}, abstract = {Human-induced pluripotent stem cell-derived cardiomyocytes (hiPS-CM) today are widely used for the investigation of normal electromechanical cardiac function, of cardiac medication and of mutations. Computational models are thus established that simulate the behavior of this kind of cells. This section first motivates the modeling of hiPS-CM and then presents and discusses several modeling approaches of microscopic and macroscopic constituents of human-induced pluripotent stem cell-derived and mature human cardiac tissue. The focus is led on the mapping of the computational results one can achieve with these models onto mature human cardiomyocyte models, the latter being the real matter of interest. Model adaptivity is the key feature that is discussed because it opens the way for modeling various biological effects like biological variability, medication, mutation and phenotypical expression. We compare the computational with experimental results with respect to normal cardiac function and with respect to inotropic and chronotropic drug effects. The section closes with a discussion on the status quo of the specificity of computational models and on what challenges have to be solved to reach patient-specificity.}, language = {en} } @inproceedings{SerrorHenzeHacketal.2018, author = {Serror, Martin and Henze, Martin and Hack, Sacha and Schuba, Marko and Wehrle, Klaus}, title = {Towards in-network security for smart homes}, series = {13th International Conference on Availability, Reliability and Security, ARES 2018; Hamburg; Germany; 27 August 2018 through 30 August 2018}, booktitle = {13th International Conference on Availability, Reliability and Security, ARES 2018; Hamburg; Germany; 27 August 2018 through 30 August 2018}, isbn = {978-145036448-5}, doi = {10.1145/3230833.3232802}, pages = {Article numer 3232802}, year = {2018}, language = {en} } @article{RoehlenPilasDahmenetal.2018, author = {R{\"o}hlen, Desiree and Pilas, Johanna and Dahmen, Markus and Keusgen, Michael and Selmer, Thorsten and Sch{\"o}ning, Michael Josef}, title = {Toward a Hybrid Biosensor System for Analysis of Organic and Volatile Fatty Acids in Fermentation Processes}, series = {Frontiers in Chemistry}, journal = {Frontiers in Chemistry}, number = {6}, publisher = {Frontiers}, address = {Lausanne}, doi = {10.3389/fchem.2018.00284}, pages = {Artikel 284}, year = {2018}, abstract = {Monitoring of organic acids (OA) and volatile fatty acids (VFA) is crucial for the control of anaerobic digestion. In case of unstable process conditions, an accumulation of these intermediates occurs. In the present work, two different enzyme-based biosensor arrays are combined and presented for facile electrochemical determination of several process-relevant analytes. Each biosensor utilizes a platinum sensor chip (14 × 14 mm²) with five individual working electrodes. The OA biosensor enables simultaneous measurement of ethanol, formate, d- and l-lactate, based on a bi-enzymatic detection principle. The second VFA biosensor provides an amperometric platform for quantification of acetate and propionate, mediated by oxidation of hydrogen peroxide. The cross-sensitivity of both biosensors toward potential interferents, typically present in fermentation samples, was investigated. The potential for practical application in complex media was successfully demonstrated in spiked sludge samples collected from three different biogas plants. Thereby, the results obtained by both of the biosensors were in good agreement to the applied reference measurements by photometry and gas chromatography, respectively. The proposed hybrid biosensor system was also used for long-term monitoring of a lab-scale biogas reactor (0.01 m³) for a period of 2 months. In combination with typically monitored parameters, such as gas quality, pH and FOS/TAC (volatile organic acids/total anorganic carbonate), the amperometric measurements of OA and VFA concentration could enhance the understanding of ongoing fermentation processes.}, language = {en} } @incollection{KochPoghossianWegeetal.2018, author = {Koch, Claudia and Poghossian, Arshak and Wege, Christina and Sch{\"o}ning, Michael Josef}, title = {TMV-Based Adapter Templates for Enhanced Enzyme Loading in Biosensor Applications}, series = {Virus-Derived Nanoparticles for Advanced Technologies}, booktitle = {Virus-Derived Nanoparticles for Advanced Technologies}, editor = {Wege, Christina}, publisher = {Humana Press}, address = {New York, NY}, isbn = {978-1-4939-7808-3}, doi = {10.1007/978-1-4939-7808-3}, pages = {553 -- 568}, year = {2018}, abstract = {Nanotubular tobacco mosaic virus (TMV) particles and RNA-free lower-order coat protein (CP) aggregates have been employed as enzyme carriers in different diagnostic layouts and compared for their influence on biosensor performance. In the following, we describe a label-free electrochemical biosensor for improved glucose detection by use of TMV adapters and the enzyme glucose oxidase (GOD). A specific and efficient immobilization of streptavidin-conjugated GOD ([SA]-GOD) complexes on biotinylated TMV nanotubes or CP aggregates was achieved via bioaffinity binding. Glucose sensors with adsorptively immobilized [SA]-GOD, and with [SA]-GOD cross-linked with glutardialdehyde, respectively, were tested in parallel on the same sensor chip. Comparison of these sensors revealed that TMV adapters enhanced the amperometric glucose detection remarkably, conveying highest sensitivity, an extended linear detection range and fastest response times. These results underline a great potential of an integration of virus/biomolecule hybrids with electronic transducers for applications in biosensorics and biochips. Here, we describe the fabrication and use of amperometric sensor chips combining an array of circular Pt electrodes, their loading with GOD-modified TMV nanotubes (and other GOD immobilization methods), and the subsequent investigations of the sensor performance.}, language = {en} } @inproceedings{KromeSander2018, author = {Krome, Cornelia and Sander, Volker}, title = {Time series analysis with apache spark and its applications to energy informatics}, series = {Proceedings of the 7th DACH+ Conference on Energy Informatics}, booktitle = {Proceedings of the 7th DACH+ Conference on Energy Informatics}, doi = {10.1186/s42162-018-0043-1}, year = {2018}, abstract = {In energy economy forecasts of different time series are rudimentary. In this study, a prediction for the German day-ahead spot market is created with Apache Spark and R. It is just an example for many different applications in virtual power plant environments. Other examples of use as intraday price processes, load processes of machines or electric vehicles, real time energy loads of photovoltaic systems and many more time series need to be analysed and predicted. This work gives a short introduction into the project where this study is settled. It describes the time series methods that are used in energy industry for forecasts shortly. As programming technique Apache Spark, which is a strong cluster computing technology, is utilised. Today, single time series can be predicted. The focus of this work is on developing a method to parallel forecasting, to process multiple time series simultaneously with R and Apache Spark.}, language = {en} }