@article{WalterKubicaRocco2022, author = {Walter, Andreas and Kubica, Stefan and Rocco, Vittorio}, title = {Statistical evaluation of fuel values}, series = {IOP Conference Series: Earth and Environmental Science}, volume = {1049}, journal = {IOP Conference Series: Earth and Environmental Science}, publisher = {Institute of Physics Publishing (IOP)}, issn = {1755-1315}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-16327}, year = {2022}, abstract = {Aviation emissions, domestic and international, account for approximately 2 \% of total global CO2 emissions. Fuel consumption for a given route, excluding other factors such as wind, depends largely on the weight of the aircraft. To minimise fuel consumption, it is often most economical to carry only the minimum weight required for the sector. Within the framework of a dissertation, possibilities to reduce the final reserve fuel and thus the amount of fuel required are being researched and evaluated. This paper shows part of the results, as reliability and accuracy of flight planning and actual operations are a necessary basis for a possible reduction. The level of safety in aviation must always be taken into account. To prove this, fuel values are recorded and statistically evaluated, based on real flight and fuel data provided. Analysis, systematization and generalization were used to conduct the study. As a statistical background, extensive fuel data of an airline from a period of about five years were examined. The focus of this paper is on the results for taxi and trip fuel. The result shows that the current requirements for flight planning and the subsequent execution of flights are very reliable and highly accurate today. The results of the study can be used as a basis for a performance-based approach to reduce the final reserve fuel while maintaining the necessary safety level. Reducing the final reserve has a significant impact on reducing overall fuel consumption and emissions. Further research and studies are needed to determine performance indicators.}, language = {en} } @article{WalterKubicaRocco2023, author = {Walter, Andreas and Kubica, Stefan and Rocco, Vittorio}, title = {Optimized fuel values for emission reduction}, series = {IOP Conference Series: Earth and Environmental Science}, volume = {1254}, journal = {IOP Conference Series: Earth and Environmental Science}, publisher = {Institute of Physics Publishing (IOP)}, issn = {1755-1315}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-18148}, year = {2023}, abstract = {Aviation is an integral and vital part of modern society. The growth over the last decades has consequences for greenhouse gas emissions and reducing this through efficiency within the same framework is difficult. Precision flight planning is crucial for reliably and optimized real environment aircraft operation. The presented study gives an overview of the status of the legal requirements for flight planning under the current fuel requirements of the European Union Aviation Safety Agency (EASA) and the emerging opportunities for fuel savings. As part of the larger study, planned and actual fuel figures of an international cargo airline were statistically analyzed. The overall analysis showed that there was no significant deviation between planned and consumed fuel. Based on the results, an adjustment of the planned alternative fuel quantity can be considered within the framework of an individual fuel plan. The possible savings potential using the example of Destination Alternate Airport fuel is presented.}, language = {en} } @article{KnieKubica2023, author = {Knie, Bernhard and Kubica, Stefan}, title = {Hinreichende Spezifikation einer KI-Funktion am Beispiel Fußg{\"a}ngerschutz}, series = {Anwendungen und Konzepte der Wirtschaftsinformatik}, journal = {Anwendungen und Konzepte der Wirtschaftsinformatik}, number = {18}, publisher = {Hochschule Luzern}, issn = {2296-4592}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-18410}, pages = {59 -- 64}, year = {2023}, abstract = {Transparenz und Erkl{\"a}rbarkeit sind essenzielle Faktoren bei der Entwicklung sicherer KI-Modelle f{\"u}r den Fußg{\"a}ngerschutz. Dies erm{\"o}glicht nicht nur eine verbesserte Akzeptanz, sondern f{\"o}rdert auch das Vertrauen der Nutzer in die pr{\"a}ventiven F{\"a}higkeiten dieser Systeme. Die Integration von Sensoren, maschinellem Lernen und fortschrittlichen Algorithmen erm{\"o}glicht eine pr{\"a}zise Analyse von Fußg{\"a}ngerverhalten und Umgebungsfaktoren. Dabei spielt die Echtzeitverarbeitung eine entscheidende Rolle, um schnell auf sich {\"a}ndernde Situationen zu reagieren. Zus{\"a}tzlich zur Technologieentwicklung betont diese Analyse die Notwendigkeit strikter Sicherheitsmaßnahmen, um potenzielle Risiken und Sicherheitsl{\"u}cken zu minimieren. Dazu geh{\"o}ren Sicherheitsprotokolle f{\"u}r die Datenspeicherung, den Modellschutz und den Zu-griff auf KI-Systeme. Die Einhaltung gesetzlicher und ethischer Richtlinien ist ein weiterer wichtiger Aspekt. Regulatorische Vorgaben und ethische Standards sollen sicherstellen, dass KI-Technologien im Automobilsektor nicht nur sicher, sondern auch im Einklang mit gesellschaftlichen Werten und Normen eingesetzt werden.}, language = {de} }