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Conference Paper Optimization paper production through digitalization by developing an assistance system for machine operators including quality forecast: a concept(Gesellschaft für Informatik e.V., 2022) Schroth, Moritz; Hake, Felix; Merker, Konstantin; Becher, Alexander; Klaeger, Tilman; Huesmann, Robin; Eichhorn, Detlef; Oehm, Lukas; Wohlgemuth, Volker; Naumann, Stefan; Arndt, Hans-Knud; Behrens, Grit; Höb, MaximilianNowadays cross-industry ranging challenges include the reduction of greenhouse gas emission and enabling a circular economy. However, the production of paper from waste paper is still a highly resource intensive task, especially in terms of energy consumption. While paper machines produce a lot of data, we have identified a lack of utilization of it and implement a concept using an operator assistance system and state-of-the-art machine learning techniques, e.g., classification, forecasting and alarm flood handling algorithms, to support daily operator tasks. Our main objective is to provide situation-specific knowledge to machine operators utilizing available data. We expect this will result in better adjusted parameters and therefore a lower footprint of the paper machines. emission and enabling a circular economy. However, the production of paper from waste paper is still a highly resource intensive task, especially in terms of energy consumption. While paper machines produce a lot of data, we have identified a lack of utilization of it and implement a concept using an operator assistance system and state-of-the-art machine learning techniques, e.g., classification, forecasting and alarm flood handling algorithms, to support daily operator tasks. Our main objective is to provide situation-specific knowledge to machine operators utilizing available data. We expect this will result in better adjusted parameters and therefore a lower footprint of theConference Paper EnviroInfo 2022 - Komplettband(Gesellschaft für Informatik e.V., 2022) Wohlgemuth, Volker; Naumann, Stefan; Arndt, Hans-Knud; Behrens, Grit; Höb, MaximilianConference Paper Information Disclosure in VPP - Information Disclosure by Decentralized Coordination in Virtual Power Plants and District Energy Systems(Gesellschaft für Informatik e.V., 2022) Bremer, Jörg; Lehnhoff, Sebastian; Wohlgemuth, Volker; Naumann, Stefan; Arndt, Hans-Knud; Behrens, Grit; Höb, MaximilianGrouping small, hardly predictable, and volatile energy resources to jointly operating virtual power plants with sufficient flexibility for coordination is widely seen as a key aspect of integrating renewable energy into the grid. For several reasons, self-organizing, agent-based systems are probably the best technology for coordination. A major drawback of many currently existing solutions is the necessity to communicate plain information for negotiation and optimization. Such information contains e.g. possible energy generation schemes or aggregated costs. Previous works have already shown that identification of anonymously sent information is possible. In this paper, we demonstrate the possibility of disaggregating cost structure information as an example of possible leakage of business information in the case of participation in virtual power plants or district energysystems. From this perspective, we derive measures to ensure privacy preservation in decentralized coordination algorithmsConference Paper Transient numerical simulation for optimization of a water-cooled high-performance computing center with dynamic cooling circuit temperatures – Work-in-progress(Gesellschaft für Informatik e.V., 2022) Bayer, Nils; Kerskes, Henner; Stergiaropoulos, Konstantinos; Wohlgemuth, Volker; Naumann, Stefan; Arndt, Hans-Knud; Behrens, Grit; Höb, MaximilianDue to the high consumption of electrical energy, data center operators are increasingly aiming for a data center that is as energy-optimized and efficient as possible. The cooling system has a crucial role here. In this context, an innovative control strategy with dynamic cooling circuit temperatures will be investigated. For this purpose, a detailed numerical simulation model of an existing water-cooled HPC data center cooling system was developed. The model was validated using real operating data. It includes the complete heat flow from the rack cooling distribution units to the cooling towers and the district cooling supply. The model can correctly simulate the thermal behavior in detail and is the basis for further investigations and optimization in terms of various criteria like energy or cost efficiency. The modeling and validation approach is presented in this paper.Conference Paper Relation Extraction from Environmental Law Text Using Natural Language Understanding(Gesellschaft für Informatik e.V., 2022) Thimm, Heiko; Schneider, Phil; Wohlgemuth, Volker; Naumann, Stefan; Arndt, Hans-Knud; Behrens, Grit; Höb, MaximilianIn the last decades the highly active area of environmental legislation has produced a vast amount of text documents that contain laws and regulations enacted by various types of rule setters. This large body of legal text documents is still growing with an increasing speed. In order to assure compliance with the regulations, today, corporate specialist spend a lot of time with the reviewing and assessment of these documents. It seems that through the use of text processing assistance tools these important corporate environmental compliance management tasks can be completed in less time. To develop corresponding assistance tools has been the broader goal of this work in which initial text processing experiments with a common Natural Language Understanding pipeline are described. The obtained results confirm that in order to extract meaningful relations from text documents of the environmental legislation area, domain-specific processing techniques that are tailored to the specific language and format of legal text are required.Conference Paper Hydrogen Technology Business Process Management Modeling: Standardization and digitization of processes within the hydrogen infrastructure(Gesellschaft für Informatik e.V., 2022) Kühne, Uta; O'Shea, Miriam; Wagner vom Berg, Benjamin; Wohlgemuth, Volker; Naumann, Stefan; Arndt, Hans-Knud; Behrens, Grit; Höb, MaximilianStandardization and digitization are important factors to accelerate the development of hydrogen infrastructure for transport and mobility purposes. The digitization of administrative processes in particular can help to make information-intensive and often complex processes within authorities more efficient and transparent. A uniform standardization of technologies and process descriptions can simplify and accelerate the market launch and approval processes. The project ‘Hydrogen Technology Business Process Management Modeling’ concentrate on the two focus areas standardization and digitization to ease the application process of hydrogen filling stations.Conference Paper BITS: A Key Performance Indicators (KPIs) supported approach to assess traffic safety for cyclists at intersections in the Netherlands(Gesellschaft für Informatik e.V., 2022) Schering, Johannes; Gómez, Jorge Marx; Wohlgemuth, Volker; Naumann, Stefan; Arndt, Hans-Knud; Behrens, Grit; Höb, MaximilianTraffic safety is an important factor in the decision process whether people decide to use the bicycle or not. Critical situations that do not lead to an accident are often not reported to the police. To fill this knowledge gap, several regions as the city of Zwolle and the Province of Friesland (Netherlands) have started to detect near accidents at intersections among vehicles and bicycles by 3D camera data to evaluate traffic safety. Four intersections in Friesland and Zwolle were monitored. Different types of intersections (e.g. shared space concept) were considered. Near accidents can be divided into different conflict categories depending on vehicle speed and time to collision (Post-Encroachment Time PET). The preprocessed data including Key Performance Indicators (KPIs) to make cycling safety at the intersections measurable and comparable are provided. Based on the numbers and visualizations, it will be discussed which of the discussed intersections show critical profiles regarding numbers of near accidents, distribution and amount of very critical situations. With the results the intersections can be adjusted to increase traffic safety.Encroachment Time PET). The pre-processed data including relevant Key Performance Indicators (KPIs) to make cycling safety at the intersections measurable and comparable are provided. Based on the numbers and visualizations, it will be discussed which of the dis-cussed intersections show critical profiles regarding the total numbers of near accidents, its distribution and the amount of very critical situations. Based on the results the intersections can be adjusted to increase the safety situation in a city.Conference Paper OData - Usage of a REST Based API Standard in Web based Environmental Information Systems(Gesellschaft für Informatik e.V., 2022) Hilbring, Désirée; Becker, Kevin; Markus; Emde, Katharina; van der Schaaf, Hylke; Spandl, Horst; Tauber, Martina; Wohlgemuth, Volker; Naumann, Stefan; Arndt, Hans-Knud; Behrens, Grit; Höb, MaximilianEnvironmental information in existing custom-build environmental information systems is manifold. Sharing this information via Web APIs for diverse client types to fulfil the needs of ongoing digitisation efforts is still a challenge. This paper analyses the open standard OData (Open Data Protocol) as a possible communication protocol between independent servers and clients. Of interest is also the question, if the protocol is not only capable of sharing environmental data between independent systems but also if the information provided via OData is sufficient for directly creating a web-based end user client. The developed prototypical implementation is tested in two environmental applications from different domains: a small data overview for decision makers and the integration of information in an environmental platform.Conference Paper Improving Data Quality of Programme of Measures for the Water Framework Directive in Saxony(Gesellschaft für Informatik e.V., 2022) Hosenfeld, Friedhelm; Dimmer, Roland; Mattes, Christoph; Wohlgemuth, Volker; Naumann, Stefan; Arndt, Hans-Knud; Behrens, Grit; Höb, MaximilianA web application is presented to support the responsible authorities in the management of measures for the WFD (Water Framework Directive) in Saxony. The web application enables the maintenance of WFD measures data by different authorities in a common database. The central data management supports the tasks of implementing the WFD of the LfULG for the fulfilment of the EU reporting obligations. A key requirement deals with the improvement of data quality implemented by comprehensive consistency and completeness checks, input rules and support functions for geometry creation. The spatial data are verified for consistency with the attribute data during data acquisition.Conference Paper Detection of snow-coverage on PV-modules with images based on CNN-techniques(Gesellschaft für Informatik e.V., 2022) Hepp, Dennis; Hempelmann, Sebastian; Behrens, Grit; Friedrich, Werner; Wohlgemuth, Volker; Naumann, Stefan; Arndt, Hans-Knud; Behrens, Grit; Höb, MaximilianThe transition from fossil fuels to renewable energy is considered as very meaningful to mitigate climate change. To integrate weather-dependent energies firmly into the power grid, a forecast of the energy yield is very important. This paper is about renewable energy generation by photovoltaic (PV) systems. The yield of PV-systems depends not only on weather conditions, but in wintertime also on the additional factor “snow cover”. The aim of this work is to detect snow cover on photovoltaic plants to support the energy yield forecast. For this purpose, images of a PV-plant with and without snow cover are used for feature extraction and then analyzed by using a convolutional neural network (CNN).Conference Paper Remote sensing data analysis via machine learning for land use estimation in the Greater Thessaloniki Area, Greece(Gesellschaft für Informatik e.V., 2022) Katsalis, Paraskevas; Bagkis, Evangelos; Karatzas, Kostas; Wohlgemuth, Volker; Naumann, Stefan; Arndt, Hans-Knud; Behrens, Grit; Höb, MaximilianRemote sensing data have been employed for monitoring the differences in land use over time. This information serves as the basis of any further land-related analysis, modelling and decision making. It requires satellite coverage of an area of interest, in various bands, and intense analysis of the data to correctly identify the different land types and associate them to the geographical reality precisely. In this paper, we collect Sentinel 2, level 1C satellite data to extract spectral indices and utilise them as features for land cover classification. The method is based on the use of machine learning for properly mapping the Greater Thessaloniki Area, engaging the random forest algorithm. Two different classification configurations in terms of target labels are tested for their accuracy. The main goal of the study is to present a pipeline for researchers and practitioners that need to define non-generic classes and classify geographical areas accordingly. Results, evaluated with the confusion matrix, suggest excellent performance on the test set and bring to surface limitations of the approach concerning the lack of proper high-quality data for algorithm training.Conference Paper Architecting for Sustainability(Gesellschaft für Informatik e.V., 2022) Lago, Patricia; Greefhorst, Danny; Woods, Eoin; Wohlgemuth, Volker; Naumann, Stefan; Arndt, Hans-Knud; Behrens, Grit; Höb, MaximilianSustainability is becoming an increasingly important topic. Information Technology (IT) is an important factor for sustainability; it consumes a substantial, and growing, part of the world supply of energy, but it can also enable significant insights and improvements related to sustainability. These factors need to be taken into account in the design of IT systems, meaning that we need to architect for sustainability. This paper provides insights into the experience and beliefs of IT practitioners and researchers into current and desired practices of architecting for sustainability. It reports on the results of three workshop sessions with practitioners and researchers, providing insight into the state of research and practice.Conference Paper Digital Mobility Services for Communities: Flexible boarding points for campus ridesharing(Gesellschaft für Informatik e.V., 2022) Gieza, Moritz; Schuster, Thomas; Waidelich, Lukas; Kölmel, Bernhard; Wohlgemuth, Volker; Naumann, Stefan; Arndt, Hans-Knud; Behrens, Grit; Höb, MaximilianMobility is still characterized by individual transport. Despite changes in recent years, it still influences infrastructure development and results in car-friendly cities. As a result, traffic congestion reveals weaknesses in efficiency and sustainability of this model. This is exacerbated in metropolitan areas with high growth rates and in areas with below-average public transport services. Besides congestion, emission such as pollution and noise are a major problem. In this article, we give explain how this affects communities in general and transport from and to our university campus particularly. We will examine how digital mobility services can extend public and individual transport. We will explore how digital services can promote intermodal transport and lead to more sustainability in mobility. Within that discussion, we present a ridesharing platform and study its influence on directions to and from our campus.Conference Paper Conception and test of a measuring station for the analysisof the resource and energy consumption of material floworiented environmental management information systems (EMIS)(Gesellschaft für Informatik e.V., 2022) Junger, Dennis; Wohlgemuth, Volker; Kammer, Eike; Wohlgemuth, Volker; Naumann, Stefan; Arndt, Hans-Knud; Behrens, Grit; Höb, MaximilianThe aim of this work is to design a measurement setting that enables the analysis of the resource and energy consumption of material flow oriented corporate environmental information systems (BUIS). For this purpose, the focus is put on the Life Cycle Assessment (LCA) software. LCA software supports LCA mainly in Life Cycle Inventory (LCI) and in Life Cycle Impact Analysis (LCIA). For the impact assessments, through which potential impacts on the environment are calculated, the LCA software requires many substance-specific life cycle impact data sets, which are stored in databases. In this work, we mainly refer to LCA software that runs in the form of desktop applications. In order to create a measurement configuration suitable for LCA software, the software to be tested and the necessary methodology for desktop solutions are searched. The found solution for sustainable evaluation of software products is adapted to the goal of comparing the efficiency LCA software. The determined measurement standard will be applied, modified and extended. The measurement configuration will be built and tested. Problems of a theoretical nature and problems in setting up the tests are addressed. Any problems of the comparability basis that may arise when performing tests on the selected LCA in the software in the future will be addressed, and a possible solution path will be shown. An outlook on the further course of the measurements is given.Conference Paper Using Deep Learning for automated birth detection during farrowing(Gesellschaft für Informatik e.V., 2022) Witte, Jan-Hendrik; Gerberding, Johann; Lensches, Clara; Traulsen, Imke; Wohlgemuth, Volker; Naumann, Stefan; Arndt, Hans-Knud; Behrens, Grit; Höb, MaximilianPig livestock farming has been undergoing major structural change for years. The number of animals per farm is constantly increasing, while competition is becoming more intense due to volatile slaughter prices. Sustainable, welfare-oriented livestock farming becomes increasingly difficult under these conditions. Studies have shown that animal-specific birth monitoring of sows can significantly reduce piglet losses. However, continuous monitoring by human staff is inconceivable, which is why systems need to be created that assist farmers in these tasks. For this reason, this paper aims to introduce the first step towards an automated birth monitoring system. The goal is to use deep learning methods from the field of computer vision to enable the detection of individual piglet births based on image data. This information can be used to develop systems that detect the beginning of a birth process, measure the duration of piglet births, and determine the time intervals between piglet births.Conference Paper R3 – Resilient, Regional, Retail: Implementation of SusCRM Approach within a Local Retail Platform(Gesellschaft für Informatik e.V., 2022) Haridas, Sarankumar; Schulte, Richard; Leibenath, Mattes; Wagner vom Berg, Benjamin; Wohlgemuth, Volker; Naumann, Stefan; Arndt, Hans-Knud; Behrens, Grit; Höb, MaximilianCurrent consumption patterns in offline and online retailing pose challenges in terms of sustainability aspects such as overcoming the last mile, and product-related and energy-related environmental impacts. In the last decades, customers have changed their mindset from money to sustainability which includes e-Commerce neglecting the greenhouse gas emissions which is linked to the last mile delivery. Alternative choices of delivery method and individual mobility are resulting in different emissions. To bridge the gap this work investigates how to apply a SusCRM (Sustainability Customer Relationship Management) to a local retail platform to meet both customer expectations and sustainable and conscious consumption. An overview of potential incentive systems for implementation within a local e-marketplace is presented.Conference Paper Living lab research project "5G Smart Country" - Use of 5G technology in precision agriculture exemplified by site-specific fertilization(Gesellschaft für Informatik e.V., 2022) Bhatti, Moid Riaz; Akyol, Ali; Rosigkeit, Henrik; Matzke, Linda; Grabenhorst, Isabel; Gómez, Jorge Marx; Wohlgemuth, Volker; Naumann, Stefan; Arndt, Hans-Knud; Behrens, Grit; Höb, MaximilianThe research project "5G Smart Country" aims at developing ideas for the development and testing of 5G applications for agriculture and forestry under real conditions. Agricultural and forestry data are collected from a wide variety of sources, such as satellites, drones, and robots with special sensors. Artificial intelligence (AI) and data analytics algorithms help make the required decisions, particularly for automatic differentiation between crops and weeds for mechanical weed control, demand-driven fertilization (variable rate application, VRA)—also by means of small-scale application (pointed fertilizing)—automated tracking of wildlife populations, real-time assessment of harvest (smart harvesting), forest inventory maintenance, and targeted logging. Here we present a system architecture and software model for digital crop management and show how multispectral analysis is used to develop vegetation indices to conduct VRA.Conference Paper Evolution of Disaster Spatial Risk Assessments: a Bibliometric Analysis(Gesellschaft für Informatik e.V., 2022) Wong, Ingrid; Greve, Klaus; Szarzynski, Jörg; Wohlgemuth, Volker; Naumann, Stefan; Arndt, Hans-Knud; Behrens, Grit; Höb, MaximilianThe advancements and availability of geospatial technology and data, combined with a growing understanding of the importance of disaster management and disaster risk reduction, lead to an increase in quantity and quality of publications in spatial disaster risk assessments. This paper presents an overview of an in-depth bibliometric study of the global evolution of such spatial disaster risk assessments from 2000 to 2021. The study revealed an upwards trend in scientific production, with hydrological hazards dominating the research field. However, climate change may further drive research for meteorological and climatological hazards. No direct influence was found between major disasters and the number of assessments. The study also shed light on the conceptual frameworks that guided spatial risk assessments, with hazard and vulnerability being the essential components.Conference Paper An Artificial Intelligence of Things based Method for Early Detection of Bark Beetle Infested Trees(Gesellschaft für Informatik e.V., 2022) Knebel, Peter; Appold, Christian; Guldner, Achim; Horbach, Marius; Juncker, Yasmin; Müller, Simon; Matheis, Alfons; Wohlgemuth, Volker; Naumann, Stefan; Arndt, Hans-Knud; Behrens, Grit; Höb, MaximilianBark beetles, like the European Spruce Bark Beetle (Ips typographus), are inherent partsof a forest ecosystem. However, with favorable conditions, they can multiply quickly and infest vastamounts of trees and cause their extinction. Therefore, it is important for forest officials and rangers ofe. g. a national park, to monitor the population of the beetles and the infested trees. There are severalways to approach this, but they are often costly and time-consuming. Therefore, we design and test abark beetle early warning system with AI-based data analysis: Audio data, data on pheromones andinformation for a drought stress assessment of the affected trees are to be collected and used as a basisfor the analysis. The aim is to devise a micro-controller-based sensor system that detects the infestationof a tree as early as possible and warns the forest officials, e. g. via a message on their cell phone.Conference Paper Smart Citizen Science in pluvial flood disaster risk reduction: Building a Smart Application as one tool for local drain path identification (Work in progress)(Gesellschaft für Informatik e.V., 2022) Haupenthal, Katharina; Fischer-Stabel, Peter; Wohlgemuth, Volker; Naumann, Stefan; Arndt, Hans-Knud; Behrens, Grit; Höb, MaximilianOver the last years, flood risk has increased, and the threat of flooding has caused severe damages for economy, society and infrastructure. Hence, the project Urban Flood Resilience- Smart Tools (FloReST) was initiated by six partners from the field of civil engineering, informatics and hydrology to research on tools for high-resolution drain path identification and risk mapping. In this context, a mobile application shall be developed for crowdsourced data collection in civil society. Still being in the early stages of development, a first requirement catalogue for the application is presented and discussed, showing that especially data control is a problematic issue in Citizen Science.
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