@article{HaagZontarSchleupenetal.2014,
  author    = {Haag, S. and Zontar, D. and Schleupen, Josef and M{\"u}ller, T. and Brecher, C.},
  title     = {Chain of refined perception in self-optimizing assembly of micro-optical systems},
  series = {Journal of sensors and sensor systems},
  volume    = {3},
  journal   = {Journal of sensors and sensor systems},
  number    = {1},
  publisher = {Copernicus Publ.},
  address   = {G{\"o}ttingen},
  issn      = {2194-878X},
  doi       = {10.5194/jsss-3-87-2014},
  pages     = {87 -- 95},
  year      = {2014},
  abstract  = {Today, the assembly of laser systems requires a large share of manual operations due to its complexity regarding the optimal alignment of optics. Although the feasibility of automated alignment of laser optics has been shown in research labs, the development effort for the automation of assembly does not meet economic requirements - especially for low-volume laser production. This paper presents a model-based and sensor-integrated assembly execution approach for flexible assembly cells consisting of a macro-positioner covering a large workspace and a compact micromanipulator with camera attached to the positioner. In order to make full use of available models from computer-aided design (CAD) and optical simulation, sensor systems at different levels of accuracy are used for matching perceived information with model data. This approach is named "chain of refined perception", and it allows for automated planning of complex assembly tasks along all major phases of assembly such as collision-free path planning, part feeding, and active and passive alignment. The focus of the paper is put on the in-process image-based metrology and information extraction used for identifying and calibrating local coordinate systems as well as the exploitation of that information for a part feeding process for micro-optics. Results will be presented regarding the processes of automated calibration of the robot camera as well as the local coordinate systems of part feeding area and robot base.},
  language  = {en}
}
@article{HueningHeuermannWacheetal.2018,
  author    = {H{\"u}ning, Felix and Heuermann, Holger and Wache, Franz-Josef and Jajo, Rami Audisho},
  title     = {A new wireless sensor interface using dual-mode radio},
  series = {Journal of Sensors and Sensor Systems : JSSS},
  volume    = {Volume 7},
  journal   = {Journal of Sensors and Sensor Systems : JSSS},
  number    = {2},
  publisher = {Copernicus Publ.},
  address   = {G{\"o}ttingen},
  doi       = {10.5194/jsss-7-507-2018},
  pages     = {507 -- 515},
  year      = {2018},
  abstract  = {The integration of sensors is one of the major tasks in embedded, control and "internet of things" (IoT) applications. For the integration mainly digital interfaces are used, starting from rather simple pulse-width modulation (PWM) interface to more complex interfaces like CAN (Controller Area Network). Even though these interfaces are tethered by definition, a wireless realization is highly welcome in many applications to reduce cable and connector cost, increase the flexibility and realize new emerging applications like wireless control systems. Currently used wireless solutions like Bluetooth, WirelessHART or IO-Link Wireless use dedicated communication standards and corresponding higher protocol layers to realize the wireless communication. Due to the complexity of the communication and the protocol handling, additional latency and jitter are introduced to the data communication that can meet the requirements for many applications. Even though tunnelling of other bus data like CAN data is generally also possible the latency and jitter prevent the tunnelling from being transparent for the bus system. Therefore a new basic technology based on dual-mode radio is used to realize a wireless communication on the physical layer only, enabling a reliable and real-time data transfer. As this system operates on the physical layer it is independent of any higher layers of the OSI (open systems interconnection) model. Hence it can be used for several different communication systems to replace the tethered physical layer. A prototype is developed and tested for real-time wireless PWM, SENT (single-edge nibble transmission) and CAN data transfer with very low latency and jitter.},
  language  = {en}
}
@article{MottaghySchwambornRath2013,
  author    = {Mottaghy, Darius and Schwamborn, G. and Rath, V.},
  title     = {Past climate changes and permafrost depth at the Lake El'gygytgyn site: implications from data and thermal modeling},
  series = {Climate of the Past},
  volume    = {9},
  journal   = {Climate of the Past},
  number    = {1},
  publisher = {Copernicus},
  address   = {Katlenburg-Lindau},
  issn      = {1814-9332},
  doi       = {10.5194/cp-9-119-2013},
  pages     = {119 -- 133},
  year      = {2013},
  language  = {en}
}
@article{WiegnerVolkerMainzetal.2023,
  author    = {Wiegner, Jonas and Volker, Hanno and Mainz, Fabian and Backes, Andreas and Loeken, Michael and H{\"u}ning, Felix},
  title     = {Energy analysis of a wireless sensor node powered by a Wiegand sensor},
  series = {Journal of Sensors and Sensor Systems (JSSS)},
  volume    = {12},
  journal   = {Journal of Sensors and Sensor Systems (JSSS)},
  number    = {1},
  publisher = {Copernicus Publ.},
  address   = {G{\"o}ttingen},
  issn      = {2194-878X},
  doi       = {10.5194/jsss-12-85-2023},
  pages     = {85 -- 92},
  year      = {2023},
  abstract  = {This article describes an Internet of things (IoT) sensing device with a wireless interface which is powered by the energy-harvesting method of the Wiegand effect. The Wiegand effect, in contrast to continuous sources like photovoltaic or thermal harvesters, provides small amounts of energy discontinuously in pulsed mode. To enable an energy-self-sufficient operation of the sensing device with this pulsed energy source, the output energy of the Wiegand generator is maximized. This energy is used to power up the system and to acquire and process data like position, temperature or other resistively measurable quantities as well as transmit these data via an ultra-low-power ultra-wideband (UWB) data transmitter. A proof-of-concept system was built to prove the feasibility of the approach. The energy consumption of the system during start-up was analysed, traced back in detail to the individual components, compared to the generated energy and processed to identify further optimization options. Based on the proof of concept, an application prototype was developed.},
  language  = {en}
}