@inproceedings{2375,
  abstract     = {{Industrial wireless communication in license-free spectrum bands such as the 2.4-GHz-ISM band suffer from motion and multipath effects, which cause a high time- and frequency-variant channel attenuation. Additionally, mutual interference from heterogeneous wireless technologies limits real-time capabilities of industrial wireless technologies. Therefore, performance validations of industrial wireless technologies within appropriate industrial wireless environments are necessary. In this paper, we present the first raw measurement data set publication of an industrial wireless environment characterization in a data repository for free public access to enable transparent industrial wireless technology validation and to enhance their comparability. We characterize the whole license-free 2.4-GHz-ISM band with a time resolution of 110 μs and a frequency resolution of 1MHz in a coexistence scenario with four antennas obstructed by robot arm movements. Additionally, the frequency and time variance of the measured channel attenuations are analyzed.}},
  author       = {{Block, Dimitri and Fliedner, Niels Hendrik and Toews, Daniel and Meier, Uwe}},
  booktitle    = {{2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA)}},
  isbn         = {{9781467379298}},
  keywords     = {{Wireless communication, Wireless sensor networks, Antenna measurements, Attenuation measurement, Extraterrestrial measurements, Time-frequency analysis}},
  location     = {{ Luxembourg, Luxembourg}},
  title        = {{{Wireless channel measurement data sets for reproducible performance evaluation in industrial environments}}},
  doi          = {{10.1109/etfa.2015.7301599}},
  year         = {{2015}},
}

@inproceedings{4371,
  abstract     = {{A major challenge in modern data-centric medicine is the increasing amount of time-dependent data, which requires efficient user-friendly solutions for dealing with such data. To create an effective and efficient knowledge discovery process, it is important to support common data manipulation tasks by creating quick, responsive and intuitive interaction methods. In this paper we describe some methods for interactive longitudinal data visualization with focus on the usage of mobile multi-touch devices as interaction medium, based on our design and development experiences. We argue that when it comes to longitudinal data this device category offers remarkable additional interaction benefits compared to standard point-and-click desktop computer devices. An important advantage of multi-touch devices arises when interacting with particularly large longitudinal data sets: Complex, coupled interactions such as zooming into a region and scrolling around almost simultaneously is more easily achieved with the possibilities of a multi-touch device than compared to a regular mouse-based interaction device.}},
  author       = {{Holzinger, Andreas and Schwarz, Michael and Ofner, Bernhard and Jeanquartier, Fleur and Calero-Valdez, Andre and Röcker, Carsten and Ziefle, Martina}},
  booktitle    = {{ Availability, Reliability, and Security in Information Systems }},
  editor       = {{Teufel, Stephanie  and Min, Tjoa A  and You, Ilsun  and Weippl, Edgar }},
  isbn         = {{978-3-319-10974-9}},
  keywords     = {{Data Visualization, Longitudinal Data, Time Series, Multi-Touch, Mobile Computing}},
  location     = {{Fribourg, Switzerland}},
  pages        = {{124 -- 137}},
  publisher    = {{Springer}},
  title        = {{{Towards Interactive Visualization of Longitudinal Data to Support Knowledge Discovery on Multi-Touch Tablet Computers}}},
  doi          = {{10.1007/978-3-319-10975-6_9}},
  volume       = {{8708}},
  year         = {{2014}},
}

@inbook{2394,
  abstract     = {{For the production of biopharmaceuticals a seed train is required to generate an adequate number of cells for inoculation of the production bioreactor. This seed train is time- and cost-intensive but offers potential for optimization. A method and a protocol are described for the seed train mapping, directed modeling without major effort, and its optimization regarding selected optimization criteria such as optimal points in time for cell passaging. Furthermore, the method can also be applied for the set-up of a new seed train, for example for a new cell line. Although the chapter is directed towards suspension cell lines, the method is also generally applicable, e.g. for adherent cell lines.}},
  author       = {{Frahm, Björn}},
  booktitle    = {{Animal Cell Biotechnology}},
  isbn         = {{9781627037327}},
  issn         = {{1064-3745}},
  keywords     = {{Seed train Optimization Modeling Prediction Space-Time-Yield (STY) Systems approach Bioinformatics Computational biotechnology Suspension Production}},
  pages        = {{355--367}},
  publisher    = {{Humana Press}},
  title        = {{{Seed Train Optimization for Cell Culture}}},
  doi          = {{10.1007/978-1-62703-733-4_22}},
  volume       = {{1104}},
  year         = {{2013}},
}

@inbook{10214,
  abstract     = {{For the production of biopharmaceuticals a seed train is required to generate an adequate number of cells for inoculation of the production bioreactor. This seed train is time- and cost-intensive but offers potential for optimization. A method and a protocol are described for the seed train mapping, directed modeling without major effort, and its optimization regarding selected optimization criteria such as optimal points in time for cell passaging. Furthermore, the method can also be applied for the set-up of a new seed train, for example for a new cell line. Although the chapter is directed towards suspension cell lines, the method is also generally applicable, e.g. for adherent cell lines.}},
  author       = {{Frahm, Björn}},
  booktitle    = {{Animal Cell Biotechnology - Methods and Protocols}},
  editor       = {{Pörtner, Ralf}},
  isbn         = {{978-1-62703-732-7}},
  issn         = {{1940-6029}},
  keywords     = {{Seed train, Optimization, Modeling, Prediction, Space-Time-Yield (STY), Systems approach, Bioinformatics, Computational biotechnology, Suspension, Production}},
  pages        = {{355–367}},
  publisher    = {{Humana Press}},
  title        = {{{Seed Train Optimization for Cell Culture}}},
  doi          = {{10.1007/978-1-62703-733-4_22}},
  volume       = {{1104}},
  year         = {{2013}},
}

