@inproceedings{578, abstract = {{Challenges of companies are presented by an increasing number of product variants or a growing product complexity in combination with a reduction of lot size. Therefore the scope of the work in the field of manual assembly will be more complex. This situation leads to a need of assistance systems. With these systems, the assembly workers will be qualified to execute their work tasks within the requirements. This approach set up on a further implementation of an assistance system at a great device manufacturer. The main focus of this implementation was the technical and functional design of the assistance system, but a successful implementation requires also an active handling of the change process. The purpose of this paper is the presentation of design principles in form of a process model for the implementation of digital assistance systems. The development of the design principles takes place in a participative approach. Executives, work councilsand workers develop the project results together with external project members. Project managers will be able to manage implementation processes with the results and take all the success factors into account.}}, author = {{Kleineberg, Tim and Eichelberg, Matthias and Hinrichsen, Sven}}, booktitle = {{Production Engineering and Management}}, editor = {{Padoano, Elio and Villmer, Franz-Josef}}, isbn = {{978-3-946856-01-6}}, keywords = {{Assistance systems, Change management, Success factors, Process model}}, location = {{Pordenone, Italy}}, number = {{1}}, pages = {{25--36}}, title = {{{Participative Development of an Implementation Process for Worker Assistance Systems}}}, year = {{2017}}, } @inproceedings{593, abstract = {{Due to the increased individualization of customer demands in the last 20 years, the production systems are required to be more flexible and scalable. It is the samefor the material flow system with automated guided vehicles (AGVs). To realize the flexibility and scalability, it is recommended to decentralized control the vehicles. As an attempt, a concept of swarm intelligence with Radio Frequency Identification (RFID) is proposed and introduced in this article. The concept is supposed to be used for automated guided vehicle systems in which objects have to be transported from place to place. Therefore the object has to be self-organized and has to manage its own transport. In this context the vehicles have to choose the most optimal transportation. Swarm intelligence is a topic which deserves a high level of attention as a method to realize high flexibility and scalability.}}, author = {{Cantauw, Alisa Maria and Li, Li}}, booktitle = {{Department of Production Engineering and Management}}, editor = {{Villmer, Franz-Josef and Padoano, Elio}}, isbn = {{978-3-946856-00-9}}, keywords = {{Swarm intelligence, Automated guided vehicle system, RFID, Internet of things, Multi-agent system}}, location = {{Lemgo}}, number = {{1}}, pages = {{133--143}}, title = {{{Application of Swarm Intelligence for Automated Guided Vehicle Systems}}}, year = {{2016}}, } @inproceedings{594, abstract = {{Due to steadily increased demand for customized products, as well as their enhanced complexity and shorter product lifecycles, companies in all industries require a reliable prediction of the expected product development costs from the very start of product realization. Incorrectly estimated project costs may lead to serious consequences in the course of a development project. For example, offers are most often based on such early cost estimations and consequently, a major safety margin has to be added, which may result in the refusal of an order. A too low estimation of the costs of aproduct development project, on the other hand, may result in a loss for the project.In this paper, a software tool is presented for the prediction of product development costs which offers the user the ability to create a more accurate prediction of project costs on the basis of a minimum of retrograde project information. By combining a parametric cost model and cost result with stochastic character, based on the Monte Carlo method, in one software system, it is possible to significantly improve projectcost estimations.}}, author = {{Otte, Andreas and Scheideler, Eva and Villmer, Franz-Josef}}, booktitle = {{Department of Production Engineering and Management}}, editor = {{Villmer, Franz-Josef and Padoano, Elio}}, isbn = {{978-3-946856-00-9}}, keywords = {{Cost prediction, Product realization projects, Monte Carlo method, Parametric cost model, Software tool}}, location = {{Lemgo}}, number = {{1}}, pages = {{281--292}}, title = {{{Project Cost Estimator - A Parameter-Based Tool to Predict Product Realization Costs at a Very Early Stage}}}, year = {{2016}}, } @inbook{10066, abstract = {{Namibia is the most arid country in Sub-Saharan Africa. The Cuvelai-Etosha Basin (CEB) in central northern Namibia in particular is experiencing various ecological and social-ecological challenges such as high climate variability, saline groundwater, dependence on Angola for freshwater supply, high population growth and density, and increasing urbanisation. These challenges make water supply and management difficult and threaten the livelihood of the local population and the health of the ecosystem. Facing up to these challenges, the German-Namibian research project CuveWaters has developed, adapted and set up different technologies as pilot plant s. The Integrated Water Resources Management (IWRM) concept of CuveWaters is based on a multi-resource-mix in which water is obtained from different sources (rainwater, floodwater, groundwater and wastewater) and used for various purposes. High quality water is used as drinking water; water of a relatively low quality is used for irrigation. In cooperation with the residents of four villages and one small town, the project partners are implementing different technologies to collect and store, produce, treat and reuse water. The implemented technologies are rain- and floodwater harvesting, groundwater desalination, and the combination of sanitation, wastewater treatment and water reuse. The aim is to improve peoples’ livelihood through research on innovative and adapted solutions which contribute to a successful and adapted application of IWRM. To this end, the project integrates science, technology and societal aspects in a transdisciplinary research approach by linking scientific knowledge from natural, engineering and social sciences with the everyday practices and know-how of the stakeholders involved. Thus, the technical aspects are complemented by a wide range of societal and scientific components, such as capacity development, monitoring, participation or knowledge management. These ensure societal embedding of the technologies and knowledge transfer. This paper will illustrate the transdisciplinary approach, implemented technologies and accompanying measures as well as key results.}}, author = {{Lier, Stephan and Brenda, Maria and Cornel, Peter and Deffner, Juta and Felmeden, Jörg and Jokisch, Alexander and Kluge, Thomas and Müller, Katherina and Röhrig, Julian and Stibitz, Vanessa and Urban, Wilhelm}}, booktitle = {{Integrated Water Resources Management: Concept, Research and Implementation}}, editor = {{Borchardt, Dietrich}}, isbn = {{978-3-319-79729-8}}, keywords = {{Multi-resource-mix, Rainwater and floodwater harvesting, Solar-coupled groundwater desalination, Sanitation and water reuse, Transdisciplinarity}}, pages = {{683–717}}, publisher = {{Springer }}, title = {{{From the Concept to the Tap - Integrated Water Resources Managment in Northern Namibia}}}, doi = {{https://doi.org/10.1007/978-3-319-25071-7_26}}, year = {{2016}}, } @inproceedings{597, abstract = {{This paper is aimed to discuss current research using data mining techniques and industry statistics in production environments. The general research approach is based on the idea of using data mining processes and techniques of industry statistics to find rare and hidden patterns behind failures of complex components. A case study will be applied to illustrate how the technique is carried out and where the limits of this approach occur. The case study deals with a component supplier of printing machines, which received an increasing number of client complaints, all related to one distinct problem. The observed failures seem to occur only among clients with very high quality standards. The affected component undergoes a very complex production process with several steps in different departments. Every single production unit records data information from multiple process variables and at different points in time. In the beginning there was no understanding of the failure causes in production at all. Therefore a huge amount of production data had to be analyzed to find the pattern that discloses the failure. The data mining process starts with a first step in which the given data sets are prepared and then cleaned. Followed up by building a prediction model. The aim is to detect the root causes for failures and to predict potential failures in affected components. This paper shows how to use data mining to get the answer on pressing production failures. }}, author = {{Scheideler, Eva and Ahlemeyer-Stubbe, Andrea}}, booktitle = {{Production engineering and management : proceedings, 5th international conference, October 1 and 2, 2015, Trieste, Italy}}, editor = {{Padoano, Elio and Villmer, Franz-Josef}}, isbn = {{978-3-941645-11-0}}, keywords = {{Data mining, production failure, multi-variant analysis, multivariate process control, predictive modelling, case study}}, location = {{Trieste, Italy}}, number = {{1}}, pages = {{163--174}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Data Mining: A Potential Detector to Find Failure in Complex Components}}}, 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}}, } @article{4377, abstract = {{Within the last years the concept of trust has attracted increased attention in the field of smart home environments. However, little is known about what determines trustworthiness in this context. For this reason the objective was to examine mental models in terms of anthropomorphic perception of smart home environments and its relation to trustworthiness. Two studies (N=36) were carried out in the Future Care Lab, a simulated intelligent home environment. We used the teach-back method to help participants to talk about the smart home environment technology and asked to generate a metaphor of an experienced home-monitoring scenario. Finally, we applied linguistic analysis of responses to detect anthropomorphic characteristics. In general, results demonstrate inspiring metaphors related to the personal assistance system, e.g. "like an airbag…" or "like a family member…", which might be useful for future interface designs and approaches of communication in the context of smart home environments. However, no relation of anthropomorphism and trustworthiness could be found. Therefore, we suggest an anthropomorphic threshold, which should be investigated by using an improved method and trust scale.}}, author = {{Sack, Oliver and Röcker, Carsten}}, issn = {{2368-6103}}, journal = {{International Journal of Virtual Worlds and Human Computer Interaction}}, keywords = {{Smart environment, e-health, user study, mental model, anthropomorphism, metaphor, technology acceptance, trust, evaluation}}, number = {{1}}, pages = {{28 -- 36}}, publisher = {{ Avestia Publishing, International ASET Inc. }}, title = {{{“Like a Family Member Who Takes Care of Me” – Users’ Anthropomorphic Representations and Trustworthiness of Smart Home Environments}}}, doi = {{10.11159/vwhci.2014.004}}, volume = {{2}}, year = {{2014}}, } @article{4381, abstract = {{This article reports on two user studies exploring the knowledge of end users about technical processes of technology-enhanced home environments, which are often assumed to play an important role for attitudes such as privacy and security. In the first study (n=12 participants between 19-71 years of age), we analyzed user knowledge about technical processes using the teach-back methodology. In the second study, we additionally applied new developed questionnaires and analyzed participants’ data (n=24 participants between 19-76 years of age) regarding relations of user factors, users’ knowledge about technical processes and attitudes such as privacy and security of technology-enhanced environments. In contrast to existing assumptions, the results showed that general structural knowledge about technical processes was not related with attitudes such as privacy and security. Additionally, we found that most participants had only relatively superficial knowledge about technical processes, which was further influenced by age and technology experience.}}, author = {{Sack, Oliver and Röcker, Carsten}}, isbn = {{2332-3477}}, issn = {{2332-3485 }}, journal = {{Universal Journal of Psychology}}, keywords = {{Technology-enhanced Environment, Ambient Assisted Living, Mental Model, Teach Back, Privacy, Security}}, number = {{2}}, pages = {{72 -- 83}}, publisher = {{Horizion }}, title = {{{Privacy and Security in Technology-Enhanced Environments: Exploring Users’ Knowledge about Technological Processes of Diverse User Groups}}}, doi = {{10.13189/ujp.2013.010207}}, volume = {{1}}, year = {{2013}}, } @misc{12249, abstract = {{We investigated the combined effects of thermal pollution from a nuclear power plant (NPP) and regional climate warming on the thermal regime of a lake. For this purpose, we used the lake model FLake and analyzed 50 years of temperature data from Lake Stechlin, Germany, which served as the cooling water reservoir for the Rheinsberg NPP from 1966 until 1990. Both modeling and statistical data analysis revealed a strong influence of the NPP cooling water discharge on the lake water temperatures and the vertical stability of the water column. A remarkable effect of thermal pollution consisted of strong vertical mixing in winter produced by the discharge of warm water into the lake when ambient water temperatures were below 4 °C. This effect caused a significant increase in the deep hypolimnion temperatures and a corresponding decrease of the vertical stability in the summer. In turn, climate warming had the opposite effect on the summer stability by increasing lake surface temperatures. Both the thermal pollution and climate change increased the duration of the summer stratification period. Our results suggest that industrial thermal pollution in temperate lakes during winter is stored in the deep water column until the next winter, whereas heat added in the summer dissipates relatively rapidly into the atmosphere. Accordingly, the winter thermal pollution could have a long-lasting effect on the lake ecology by affecting benthic biogeochemical processes.}}, author = {{Kirillin, Georgiy and Shatwell, Tom and Kasprzak, Peter}}, booktitle = {{Journal of Hydrology}}, issn = {{1879-2707}}, keywords = {{Industrial thermal pollution, Global warming, Lake stratification, FLake model}}, number = {{7}}, pages = {{47--56}}, publisher = {{Elsevier BV}}, title = {{{Consequences of thermal pollution from a nuclear plant on lake temperature and mixing regime}}}, doi = {{10.1016/j.jhydrol.2013.05.023}}, volume = {{496}}, year = {{2013}}, } @misc{1436, author = {{Denninger, Fabian}}, keywords = {{Multi-Touch, Multitouch Multitouch}}, pages = {{134}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{Konzeption und Entwicklung eines multimedialen Informationssystems auf Basis von Multitouch-Technologie am Beispiel der interaktiven Flash-Anwendung "Ökotouch".}}}, year = {{2008}}, }