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Auflistung nach Autor:in "Krupitzer, Christian"

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  • Konferenzbeitrag
    A crowdsensing-based smartphone app for optimal food storage and real-time best-before dates
    (44. GIL - Jahrestagung, Biodiversität fördern durch digitale Landwirtschaft, 2024) Senge, Julia; Mielinger, Ellen; Wendt, Marie Catherine; Weinrich, Ramona; Krupitzer, Christian
    Private households are responsible for 59% of Germany’s 11 million tons of food waste. Consumers’ behavior significantly contributes to food waste, prompting our concept to develop a smartphone application aimed at diminishing uncertainties about food expiration and safety. Utilizing a Design Science approach, we developed a prototype for a smartphone app, integrating novel functionalities to minimize food waste at the consumer household level. We analyzed existing market applications and, as a result, introduced the Freshlimeter, a unique feature that estimates the real-time best-before date within our app using feedback from consumers. We also highlight the potential for innovative app features, such as integrating a chatbot with image recognition capabilities to enable freshness assessments, especially for unpackaged or opened food.
  • Konferenzbeitrag
    Organic Computing Doctoral Dissertation Colloquium 2019
    (INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft (Workshop-Beiträge), 2019) Krupitzer, Christian; Tomforde, Sven
  • Konferenzbeitrag
    The Organic Computing Doctoral Dissertation Colloquium: Status and Overview in 2019
    (INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft (Workshop-Beiträge), 2019) Krupitzer, Christian; Tomforde, Sven
    Today, people are surrounded by smart and connected devices. Gartner Inc. estimated that 8.4 billion devices were connected in the Internet-of-Things worldwide in 2017, reaching 20.4 billion by 2020. The growing number of mobile and embedded devices in combination with the omnipresence of (wireless) network connections facilitates new applications, such as autonomous driving, ambient assisted living / smart home, or Industry 4.0. However, it requires integration of all available, highly specialised, and heterogeneous devices, ranging from embedded sensor nodes to servers in the cloud. Further, the inclusion of data streams with sensor data and web data leads to an increasing complexity in system development. Additionally, as these systems are mobile, changing environmental conditions increase the complexity even further. Organic Computing systems are able to deal with such systems and lower the complexity for their development by introducing methods for integrating adaptiveness and intelligence to computing systems. This workshops brings together PhD students from different research streams related to Organic Computing with the objective to represent the wide field of research in the domain of adaptive and intelligence systems.