Suchergebnisse

Der Mikrozensus ist eine repräsentative 1-Prozent-Bevölkerungsstichprobe, die seit 1957 in Westdeutschland und seit 1991 in den neuen Bundesländern erhoben wir. Sie umfasst 1999 Informationen zu bevölkerungs- und arbeitsmarktstatistischen Strukturdaten von ca. 720.000 Personen in 330.000 Haushalten. Der Methodenbericht über den Mikrozensus 1999 gliedert sich in zwei Kapitel: Der erste Abschnitt liefert Informationen zum Mikrozensus 1999 und zur Prüfung der faktisch-anonymisierten Daten. Dazu gehören (1) eine Kurzbeschreibung der methodischen Vorgehensweise und (2) der Mikrozensus-Daten, (3) die Hochrechnung bzw. Gewichtung, (4) die Plausibilitätsprüfung, (5) Besonderheiten des Mikrozensus 1999 sowie (6) die Randverteilung des faktisch anonymisierten Mikrozensus. Der zweite Abschnitt beschreibt zunächst in einem Überblick die einzelnen Schritte der Datenaufbereitung des faktisch-anonymisierten Gesamtfile (Scientific Use File). Es folgen (1) Hinweise zur Recodierung im Mikrozensus SUF, (2) eine Dokumentation des SPSS-Setups zum Einlesen der Rohdaten sowie (3) die Plausibilitätsprüfung/SPSS-File. Die Ausführungen schließen mit einer Liste weiterführender Literatur zum Mikrozensus. (ICG2)

The beginning of the 2020s ought to reflect a steady conclusion of the vast majority of the European Union's projects with regards to the new era of connectivity and mobility within the European Union dimension. We expect Intelligent Connected Vehicles (ICVs) to step into free circulation within the internal market. Since the operation of the ICVs depends on the number of data processing operations, data processing operations should be precisely determined and framed beforehand. ICVs data operations consist of extraordinarily large volumes and velocity of a data flow which previously existed in traditional relational database systems and could not have been processed within the desired timeframe. Even though the currently adopted database systems are ready to face the new level of data processing, a huge data stream is also faced with complex obstacles and new risks which have never been experienced beforehand. While seeking to ensure safe and secure introduction of a new level of data processing for connectivity and automation at the European Union market, the author precisely examines all potential risks and possibilities of integration into a uniform legal regulation to ensure secured ICVs data processing at all levels. The regulatory framework should document adequate security requirements and defences against ICVs attacks e.g. interference and remote-control interception.

The beginning of the 2020s ought to reflect a steady conclusion of the vast majority of the European Union's projects with regards to the new era of connectivity and mobility within the European Union dimension. We expect Intelligent Connected Vehicles (ICVs) to step into free circulation within the internal market. Since the operation of the ICVs depends on the number of data processing operations, data processing operations should be precisely determined and framed beforehand. ICVs data operations consist of extraordinarily large volumes and velocity of a data flow which previously existed in traditional relational database systems and could not have been processed within the desired timeframe. Even though the currently adopted database systems are ready to face the new level of data processing, a huge data stream is also faced with complex obstacles and new risks which have never been experienced beforehand. While seeking to ensure safe and secure introduction of a new level of data processing for connectivity and automation at the European Union market, the author precisely examines all potential risks and possibilities of integration into a uniform legal regulation to ensure secured ICVs data processing at all levels. The regulatory framework should document adequate security requirements and defences against ICVs attacks e.g. interference and remote-control interception.

The beginning of the 2020s ought to reflect a steady conclusion of the vast majority of the European Union's projects with regards to the new era of connectivity and mobility within the European Union dimension. We expect Intelligent Connected Vehicles (ICVs) to step into free circulation within the internal market. Since the operation of the ICVs depends on the number of data processing operations, data processing operations should be precisely determined and framed beforehand. ICVs data operations consist of extraordinarily large volumes and velocity of a data flow which previously existed in traditional relational database systems and could not have been processed within the desired timeframe. Even though the currently adopted database systems are ready to face the new level of data processing, a huge data stream is also faced with complex obstacles and new risks which have never been experienced beforehand.While seeking to ensure safe and secure introduction of a new level of data processing for connectivity and automation at the European Union market, the author precisely examines all potential risks and possibilities of integration into a uniform legal regulation to ensure secured ICVs data processing at all levels. The regulatory framework should document adequate security requirements and defences against ICVs attacks e.g. interference and remote-control interception.

The beginning of the 2020s ought to reflect a steady conclusion of the vast majority of the European Union's projects with regards to the new era of connectivity and mobility within the European Union dimension. We expect Intelligent Connected Vehicles (ICVs) to step into free circulation within the internal market. Since the operation of the ICVs depends on the number of data processing operations, data processing operations should be precisely determined and framed beforehand. ICVs data operations consist of extraordinarily large volumes and velocity of a data flow which previously existed in traditional relational database systems and could not have been processed within the desired timeframe. Even though the currently adopted database systems are ready to face the new level of data processing, a huge data stream is also faced with complex obstacles and new risks which have never been experienced beforehand. While seeking to ensure safe and secure introduction of a new level of data processing for connectivity and automation at the European Union market, the author precisely examines all potential risks and possibilities of integration into a uniform legal regulation to ensure secured ICVs data processing at all levels. The regulatory framework should document adequate security requirements and defences against ICVs attacks e.g. interference and remote-control interception.

The beginning of the 2020s ought to reflect a steady conclusion of the vast majority of the European Union's projects with regards to the new era of connectivity and mobility within the European Union dimension. We expect Intelligent Connected Vehicles (ICVs) to step into free circulation within the internal market. Since the operation of the ICVs depends on the number of data processing operations, data processing operations should be precisely determined and framed beforehand. ICVs data operations consist of extraordinarily large volumes and velocity of a data flow which previously existed in traditional relational database systems and could not have been processed within the desired timeframe. Even though the currently adopted database systems are ready to face the new level of data processing, a huge data stream is also faced with complex obstacles and new risks which have never been experienced beforehand. While seeking to ensure safe and secure introduction of a new level of data processing for connectivity and automation at the European Union market, the author precisely examines all potential risks and possibilities of integration into a uniform legal regulation to ensure secured ICVs data processing at all levels. The regulatory framework should document adequate security requirements and defences against ICVs attacks e.g. interference and remote-control interception.

International audience ; French ab initio military pilots are trained to operate a new generation of aircraft equipped with glass cockpit avionics (Rafale, A400 M). However gaze scanning teachings can still be improved and remain a topic of great interest. Eye tracking devices can record trainee gaze patterns in order to compare them with correct ones. This paper presents experimentation conducted in a controlled simulation environment where trainee behaviors were analyzed with notifications given in real-time. In line with other research in civil aviation, this experimentation shows that student-pilots spend too much time looking at inboard instruments (inside the cockpit). In addition, preliminary results show that different notifications bring modifications of the visual gaze pattern. Finally we discuss future strategies to support a more efficient pilot training thanks to real-time gaze recording and its analysis.

International audience ; French ab initio military pilots are trained to operate a new generation of aircraft equipped with glass cockpit avionics (Rafale, A400 M). However gaze scanning teachings can still be improved and remain a topic of great interest. Eye tracking devices can record trainee gaze patterns in order to compare them with correct ones. This paper presents experimentation conducted in a controlled simulation environment where trainee behaviors were analyzed with notifications given in real-time. In line with other research in civil aviation, this experimentation shows that student-pilots spend too much time looking at inboard instruments (inside the cockpit). In addition, preliminary results show that different notifications bring modifications of the visual gaze pattern. Finally we discuss future strategies to support a more efficient pilot training thanks to real-time gaze recording and its analysis.

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Themen: ADV-Skala von Müller-Böling.

Demographie: Alter; Geschlecht; Anzahl der Hauptfachsemester; angestrebter Abschluss; ursprünglich gewünschtes Hauptfach; Bedauern über das Studium der Wirtschafts- und Sozialwissenschaften Sozialwissenschaften; Erfahrungen mit elektronischer Datenverarbeitung.