Young People in Organized Leisure Time

The significance of leisure clubhouses for leisure behavior of young people from the view of parents as well as young people. Topics: 1. Parents survey: personal opinion on visit to clubhouse by child; extent to which informed about the clubhouse; desired number of clubhouse visits by the child; effects of the clubhouse visit on family life and personal development of child; tasks of youth leisure clubhouses; social class (Scheuch index). 2. Young people survey: point in time and cause of first clubhouse visit; length of the way from residence to clubhouse; occupation of friends; clubhouse visits of friends; making friends in the clubhouse; organization of leisure time; being together with clubhouse visitors outside of the clubhouse; meeting with school friends and colleagues in the clubhouse; preferred occupation in clubhouse; activity possibilities missing in the clubhouse; reference groups; organization of leisure time; attending further education courses and cultural events; going to the movies; membership in clubs and organizations and personal activities in the club; company size and change of company; pocket-money; residential area and housing conditions. Indices: social behavior, social distance, group ties, feeling, attitude regarding other young people and the clubhouse director. Demography: age; sex; age und number of siblings; religious denomination; religiousness; school education; vocational training; occupation; professional position; income; household income; possession of durable economic goods. Interviewer rating: willingness of respondent to cooperate; social and physical characteristics of respondent; social status and belonging to informal groups in the clubhouse.Die Bedeutung von Freizeitheimen für das Freizeitverhalten von Jugendlichen aus der Sicht der Eltern sowie der Jugendlichen. Themen: 1.) Elternbefragung: Persönliche Meinung zum Heimbesuch des Kindes; Informiertheit über das Heim; gewünschte Zahl der Heimbesuche des Kindes; Auswirkung des Heimbesuches auf Familienleben und persönliche Entwicklung des Kindes; Aufgaben von Jugendfreizeitheimen; Schichtzugehörigkeit (Scheuch-Index). 2.) Jugendlichenbefragung: Zeitpunkt und Anlaß des ersten Heimbesuches; Länge des Weges von der Wohnung zum Heim; Beruf der Freunde; Heimbesuche der Freunde; Schließen von Freundschaften im Heim; Freizeitgestaltung; Zusammensein mit Heimbesuchern außerhalb des Heimes; Zusammentreffen mit Schulkameraden und Arbeitskollegen im Heim; bevorzugte Beschäftigung im Heim; im Heim vermißte Betätigungsmöglichkeiten; Bezugsgruppen; Freizeitgestaltung; Besuch von Fortbildungskursen und kulturellen Veranstaltungen; Kinobesuch; Mitgliedschaft in Vereinen und Organisationen und eigene Aktivitäten im Verein; Betriebsgröße und Betriebswechsel; Taschengeld; Wohngegend und Wohnverhältnisse. Indizes: Sozialverhalten, soziale Distanz, Gruppenbindung, Gefühlshaltung gegenüber anderen Jugendlichen und dem Heimleiter. Demographie: Alter; Geschlecht; Alter und Anzahl der Geschwister; Konfession; Religiosität; Schulbildung; Berufsausbildung; Beruf; berufliche Position; Einkommen; Haushaltseinkommen; Besitz langlebiger Wirtschaftsgüter. Interviewerrating: Kooperationsbereitschaft des Befragten; soziale und physische Merkmale des Befragten; Sozialstatus und Zugehörigkeit zu informellen Gruppen im Heim

Integrated Driver Model: Detection and Prediction of Forced Decisions and Visual Attention Allocation at Varying Event Frequencies

Abstract Simulating and predicting behaviour of human drivers with Digital Human Driver Models (DHDMs) has the potential to support designers of new (partially autonomous) driver assistance systems (PADAS) in early stages with regard to understanding how assistance systems affect human driving behaviour. This paper presents the current research on an integrated driver model under development at OFFIS within the EU project ISi-PADAS 2. We will briefly show how we integrate improvements into CASCaS, a cognitive architecture used as framework for the different partial models which form the integrated driver model. Current research on the driver model concentrates on two aspects of longitudinal control (behaviour a signalized intersections and allocation of visual attention during car following). Each aspect is covered by a dedicated experimental scenario. We show how experimental results guide the modelling process.

ScOSA - Scalable On-Board Computing for Space Avionics

Computational demands on spacecraft have continuously increased for years whereby available space qualified hardware is not capable of satisfying these requirements completely. This paper introduces a way to overcome this problem by combining highly reliable space qualified hardware with highly performant commercial off-the-shelf (COTS) components. This combination of hardware enabled us to develop a new type of on-board computing (OBC) system, called ScOSA (Scalable On-Board Computing for Space Avionics). A ScOSA system uses a distributed approach whereas it consists of multiple nodes. They are classified as reliable or high performance nodes. The reliable nodes are based on radiation-hardened Leon3 processors, the high-performance nodes on COTS Xilinx Zynq (CPU and FPGA). All nodes are connected by a SpaceWire network with a meshed topology that provides redundant data paths to establish fault tolerance. A large number of existing systems can be connected to our system given that SpaceWire is widely used within the space domain. ScOSA has additional capabilities during operation that set it apart from traditional on-board computing systems. During runtime a dynamic reconfiguration of the whole system can be performed. By this, faulty nodes can be removed or recovered nodes can be reintegrated into the system. Additionally, computation tasks can be started, stopped or shifted between all active nodes. Also, connected FPGAs can be reprogrammed. As a consequence, these reconfiguration capabilities can be used to fulfill changing requirements without exchanging the underlying hardware. This can also be used to handle different spacecraft modes or mission phases. The contribution of this paper is to explain the details of the ScOSA architecture, implementation and its functionality. Additionally, we will show the results of running representative applications from the space robotics, earth-observation and satellite avionics domains. These applications were selected for evaluating the system capabilities and include, among others, autonomous navigation and capture operations, stereo image processing and optical ship detection. Testing and demonstration will be done in Hardware-in-the-Loop simulators or on robotic testbeds (namely DLR’s EPOS and OOS-Sim)