Autor*innen mit den meisten Dokumenten
Auflistung nach:
Neueste Veröffentlichungen
- KonferenzbeitragCertifying Energy Efficiency of Android Applications(Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2014) Meier, Johannes; Ostendorp, Marie-Christin; Jelschen, Jan; Winter, AndreasWhile smartphone and tablet functionality is increasing, battery runtime goes down. Both users and software developers are not always aware of the energy consumed by applications. Without this information, users cannot choose energy-efficient apps to prevent battery drain. Awareness of energy consumption would also entice app developers to implement more energy-efficient apps to remain competitive. This paper presents a certification process and corresponding Android tool support for comparing apps regarding energy efficiency. It is demonstrated using notepad apps.
- KonferenzbeitragContexto: Leveraging Energy Awareness in the Development of Context-Aware Applications(Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2014) Schirmer, Maximilian; Bertel, Sven; Pencke, JonasWe introduce a new context classification and recognition framework for the development and deployment of mobile, context-aware applications. The framework is complemented with an energy calculator that specifically assists mobile developers in estimating the energy footprint of context-aware applications during the development process with the framework. The framework abstracts from the raw context information gathering, allows for sensor fusion, enables the prediction of custom and higher-level contexts, and provides for context sharing.
- KonferenzbeitragUsability-Quiz: Die Begriffswelt der Usability durch ein Lernspiel vermitteln(Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2014) Hemke, Felix; Meyer, Herbert A.; Hühne, Knut; Schneider , Maximilian; Wohlgemuth, VolkerMit dem Glossar zur Basiszertifizierung CPUX-F (Certified Professional for Usability and User Experience – Foundation Level) des UXQB steht eine Sammlung von Definitionen zu grundlegenden Begriffen und Konzepten aus dem Fachgebiet Usability und User Experience zur Verfügung. Zur Erleichterung der Auseinandersetzung mit dieser Begriffswelt wurde ein webbasiertes Hypertextsystem erzeugt, das wahlweise über Smartphone, Tablet oder PC benutzt werden kann. Um den Lernanreiz zu erhöhen, wurde zusätzlich ein Frage-und-Antwort-Spiel mit einer Highscore-Liste entwickelt. Dieses so genannte „Usability-Quiz“ wird im Rahmen dieses Beitrags vorgestellt.
- KonferenzbeitragAligning IT Architecture Analysis and Security Standards for Smart grids(Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2014) Schlegel, Stefanie; Rosinger, Christine; Uslar, MathiasIn this paper, an approach using the European Smart Grid Architecture Model (SGAM), in the context of the NISTIR 7628, is presented. Research has shown that both models and methodologies have particular impact, but have not yet been put into mutual context. The combination of these models makes it possible for US smart grid experts to re-use the SGAM model and its benefits, and vice versa European stakeholders are encouraged to use the security analysis framework from NIST. Within this paper, we briefly introduce the methodologies including their strengths and fallbacks. We outline the necessity to make them interoperable and aligning them. Finally, the logical interface framework from NISTIR 7628 is mapped onto the SGAM and its planes, domains and zones, bridging the previous gap.
- KonferenzbeitragA Risk Management for Agent-based Control of Ancillary Service Provision from Distributed Energy Resources in Smart Grids(Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2014) Schnabel, Sabrina-Cynthia; Appelrath, H.-Jürgen; Lehnhoff, Sebastian; Tröschel, MartinWith increasing shares of renewable power generation, conventional power generation from largescale and highly predictable fossil power plants decreases. Reliably substituting these plants depends on distributed energy resources (DER) being able to provide ancillary services such as frequency and voltage control that are necessary for a reliable and stable power supply. In this paper, we present first concepts regarding an agent-based approach for a stable and reliable control of ancillary service provision from DER, and we outline research challenges regarding the management of the economical risk an operator faces when trading active power and ancillary services from DER at energy markets.
- KonferenzbeitragModel-based Energy Consumption Prediction for Mobile Application(Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2014) Willnecker, Felix; Brunnert, Andreas; Krcmar, HelmutInvestigating the energy consumption of mobile applications (apps) is becoming a growing software engineering challenge due to the limited battery lifetime of mobile devices. Energy consumption is defined as the power demand integrated over time. Profiling the power demand of an app is a time consuming activity and the results are only valid for the target hardware used during the measurements. The energy consumption is influenced by the resource demands of an app, the hardware on which the app is running, and its workload. This work adapts resource profiles for enterprise applications to predict the energy consumption of mobile apps without the need to own a physical device. Resource profiles are models that represent all aspects influencing the energy consumption of an app. They can be used to predict the energy consumption for different hardware devices and evaluate the overall efficiency of an app. Moreover, the workload can be changed so that the impact of different usage patterns can be investigated. These capabilities lay the foundation for a platform-independent way of quantifying the energy consumption of mobile apps
- KonferenzbeitragOn the Impact of User Feedback on Energy Consumption(Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2014) Bunse, ChristianThe energy consumption of mobile devices is of increasing importance for users, developers and vendors. Frequent recharging cycles have an impact onto the mobility of a device and thus, on user experience. While hardware and software are known to have an impact on energy consumption, user behaviour (when and how a device is used) is often not in the focus of attention. Research in on “smart-metering” has shown that user behaviour is a non-negligible impact factor. This paper reports about the results of an ongoing study on the impact of user feedback onto the energy consumption of mobile devices (i.e. Smartphones). The hypothesis being, that the frequent provision of energy-related feedback on user actions will significantly reduce energy utilization. First results support this hypothesis and indicate that feedback frequency and feedback clearly linked to specific user activities are key in this regard.
- KonferenzbeitragWind Power Prediction with Cross-Correlation Weighted Nearest Neighbors(Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2014) Treiber, Nils André; Kramer, OliverA precise wind power prediction is important for the integration of wind energy into the power grid. Besides numerical weather models for short-term predictions, there is a trend towards the development of statistical data-driven models that can outperform the classical forecast models [1]. In this paper, we improve a statistical prediction model proposed by Kramer and Gieseke [5], by employing a cross-correlation weighted k-nearest neighbor regression model (x-kNN). We demonstrate its superior performance by the comparison with the standard u-kNN method. Even if different pre-processing steps are considered, our regression technique achieves a comparably high accuracy.
- KonferenzbeitragElectricity Associations as Marked-based Steering Mechanism and Alternative to Fixed Feed-in Tariffs(Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2014) Meyer, Sören Christian; Breitner, Michael HansThis paper describes a business model for local electricity supply and demand steering using flexible electricity prices. Therefore it evaluates first the composition of the electricity price. Secondly it estimates the future renewable electricity generation cost. Therefore future renewable electricity generation prime cost are calculated with a combination of historically derived learning rates and global market growth estimations, both derived from literature. Thirdly it evaluates the tax burden on local traded electricity. As result a business model and legal construct which reduces the tax and levy burden on electricity is identified as crucial factor for flexible electricity prices. With electricity associations this paper identifies such a judicial construct. Finally centralised demand steering with smart flexible agents like electric vehicles, dishwasher and washer-dryer is described. This steering allows to synchronize renewable electricity generation from photovoltaic power plants, wind turbines and combined heat and power and the local electricity demand.
- Konferenzbeitrag3D Visualisation of continuous, multidimensional, meteorological Satellite Data(Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2014) Lutz, RichardTen years of earth observation by the MIPAS instrument aboard the European environmental satellite Envisat [1] led to a considerable amount of measurement and processed data, which has to be managed and visualized by powerful and flexible software tools. This paper gives an overview about new concepts, tools and methods for the 3D visualisation of continuous, multidimensional, meteorological Satellite Data, which are realised with WISA (Wissenschaftliches Informationssystem für die Atmosphärenforschung – Scientific Information System for atmospheric Research). A major goal of the visualisation is the recognition of correlations between different trace gas concentrations (e.g. ozone, chlorine nitrate, chlorofluorocarbons, etc.) and the visualisation of trace gas distributions where the main focus was laid on the polar areas.