@incollection{EggertZaehlWolfetal.2023,
  author    = {Eggert, Mathias and Z{\"a}hl, Philipp M. and Wolf, Martin R. and Haase, Martin},
  title     = {Applying leaderboards for quality improvement in software development projects},
  series = {Software Engineering for Games in Serious Contexts},
  booktitle = {Software Engineering for Games in Serious Contexts},
  editor    = {Cooper, Kendra M.L. and Bucchiarone, Antonio},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-031-33337-8 (Print)},
  doi       = {10.1007/978-3-031-33338-5_11},
  pages     = {243 -- 263},
  year      = {2023},
  abstract  = {Software development projects often fail because of insufficient code quality. It is now well documented that the task of testing software, for example, is perceived as uninteresting and rather boring, leading to poor software quality and major challenges to software development companies. One promising approach to increase the motivation for considering software quality is the use of gamification. Initial research works already investigated the effects of gamification on software developers and come to promising. Nevertheless, a lack of results from field experiments exists, which motivates the chapter at hand. By conducting a gamification experiment with five student software projects and by interviewing the project members, the chapter provides insights into the changing programming behavior of information systems students when confronted with a leaderboard. The results reveal a motivational effect as well as a reduction of code smells.},
  language  = {en}
}
@incollection{SchultLosseCzarneckietal.2023,
  author    = {Schult, Prince Garcia and Losse, Ann-Kathrin and Czarnecki, Christian and Sultanow, Eldar},
  title     = {Proposing a Framework to address the Sustainable Development Goals},
  series = {EnviroInfo 2023},
  booktitle = {EnviroInfo 2023},
  publisher = {GI - Gesellschaft f{\"u}r Informatik},
  address   = {Bonn},
  isbn      = {978-3-88579-736-4},
  issn      = {1617-5468},
  doi       = {10.18420/env2023-022},
  pages     = {243 -- 249},
  year      = {2023},
  abstract  = {Reducing poverty, protecting the planet, and improving life on earth for everyone are the essential goals of the "2030 Agenda for Sustainable Development"committed by the United Nations (UN). Achieving those goals will require technological innovation as well as their implementation in almost all areas of our business and day-to-day life. This paper proposes a high-level framework that collects and structures different uses cases addressing the goals defined by the UN. Hence, it contributes to the discussion by proposing technical innovations that can be used to achieve those goals. As an example, the goal "Climate Action{\"i}s discussed in detail by describing use cases related to tackling biodiversity loss in order to conservate ecosystems.},
  language  = {en}
}
@incollection{NiendorfWinterFrauenrath2012,
  author    = {Niendorf, Thoralf and Winter, Lukas and Frauenrath, Tobias},
  title     = {Electrocardiogram in an MRI environment: Clinical needs, practical considerations, safety implications, technical solutions and fFuture directions},
  series = {Advances in Electrocardiograms - Methods and Analysis},
  booktitle = {Advances in Electrocardiograms - Methods and Analysis},
  editor    = {Millis, Richard},
  publisher = {IntechOpen},
  address   = {London},
  isbn      = {978-953-307-923-3 (print)},
  doi       = {10.5772/24340},
  pages     = {309 -- 324},
  year      = {2012},
  language  = {en}
}
@incollection{HarlacherAltepostElsenetal.2024,
  author    = {Harlacher, Markus and Altepost, Andrea and Elsen, Ingo and Ferrein, Alexander and Hansen-Ampah, Adjan and Merx, Wolfgang and Niehues, Sina and Schiffer, Stefan and Shahinfar, Fatemeh Nasim},
  title     = {Approach for the identification of requirements on the design of AI-supported work systems (in problem-based projects)},
  series = {AI in Business and Economics},
  booktitle = {AI in Business and Economics},
  editor    = {Lausberg, Isabel and Vogelsang, Michael},
  publisher = {De Gruyter},
  address   = {Berlin},
  isbn      = {9783110790320},
  doi       = {10.1515/9783110790320},
  pages     = {87 -- 99},
  year      = {2024},
  abstract  = {To successfully develop and introduce concrete artificial intelligence (AI) solutions in operational practice, a comprehensive process model is being tested in the WIRKsam joint project. It is based on a methodical approach that integrates human, technical and organisational aspects and involves employees in the process. The chapter focuses on the procedure for identifying requirements for a work system that is implementing AI in problem-driven projects and for selecting appropriate AI methods. This means that the use case has already been narrowed down at the beginning of the project and must be completely defined in the following. Initially, the existing preliminary work is presented. Based on this, an overview of all procedural steps and methods is given. All methods are presented in detail and good practice approaches are shown. Finally, a reflection of the developed procedure based on the application in nine companies is given.},
  language  = {en}
}
@incollection{FerreinNikolovskiLimpertetal.2023,
  author    = {Ferrein, Alexander and Nikolovski, Gjorgji and Limpert, Nicolas and Reke, Michael and Schiffer, Stefan and Scholl, Ingrid},
  title     = {Controlling a Fleet of Autonomous LHD Vehicles in Mining Operation},
  series = {Multi-Robot Systems - New Advances},
  booktitle = {Multi-Robot Systems - New Advances},
  editor    = {K{\"u}{\c{c}}{\"u}k, Serdar},
  publisher = {Intech Open},
  address   = {London},
  isbn      = {978-1-83768-290-4},
  doi       = {10.5772/intechopen.113044},
  pages     = {21 Seiten},
  year      = {2023},
  abstract  = {In this chapter, we report on our activities to create and maintain a fleet of autonomous load haul dump (LHD) vehicles for mining operations. The ever increasing demand for sustainable solutions and economic pressure causes innovation in the mining industry just like in any other branch. In this chapter, we present our approach to create a fleet of autonomous special purpose vehicles and to control these vehicles in mining operations. After an initial exploration of the site we deploy the fleet. Every vehicle is running an instance of our ROS 2-based architecture. The fleet is then controlled with a dedicated planning module. We also use continuous environment monitoring to implement a life-long mapping approach. In our experiments, we show that a combination of synthetic, augmented and real training data improves our classifier based on the deep learning network Yolo v5 to detect our vehicles, persons and navigation beacons. The classifier was successfully installed on the NVidia AGX-Drive platform, so that the abovementioned objects can be recognised during the dumper drive. The 3D poses of the detected beacons are assigned to lanelets and transferred to an existing map.},
  language  = {de}
}
@incollection{SchubaHoefken2022,
  author    = {Schuba, Marko and H{\"o}fken, Hans-Wilhelm},
  title     = {Cybersicherheit in Produktion, Automotive und intelligenten Geb{\"a}uden},
  series = {IT-Sicherheit - Technologien und Best Practices f{\"u}r die Umsetzung im Unternehmen},
  booktitle = {IT-Sicherheit - Technologien und Best Practices f{\"u}r die Umsetzung im Unternehmen},
  publisher = {Carl Hanser Verlag},
  address   = {M{\"u}nchen},
  isbn      = {978-3-446-47223-5},
  doi       = {10.3139/9783446473478.012},
  pages     = {193 -- 218},
  year      = {2022},
  language  = {de}
}