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The number of embedded systems in our daily lives that are distributed, hidden, and ubiquitous continues to increase. Many of them are safety-critical. To provide additional or better functionalities, they are becoming more and more complex, which makes it difficult to guarantee safety. It is undisputed that safety must be considered before the start of development, continue until decommissioning, and is particularly important during the design of the system and software architecture. An architecture must be able to avoid, detect, or mitigate all dangerous failures to a sufficient degree. For this purpose, the architectural design must be guided and verified by safety analyses. However, state-of-the-art component-oriented or model-based architectural design approaches use different levels of abstraction to handle complexity. So, safety analyses must also be applied on different levels of abstraction, and it must be checked and guaranteed that they are consistent with each other, which is not supported by standard safety analyses. In this paper, we present a consistency check for CFTs that automatically detects commonalities and inconsistencies between fault trees of different levels of abstraction. This facilitates the application of safety analyses in top-down architectural designs and reduces effort.
Purpose: This study aimed to gain knowledge about environmental factors (EFs) that impact work and social life participation of people with multiple sclerosis (MS) in Austria and Switzerland to extend the knowledge of participation and to identify key areas for measuring participation.
Method: A three-round Delphi study was conducted defining patients as experts. In the 1st round, qualitative data was gathered through questionnaires, analyzed with content analysis, and factors were assigned to EFs as classified in the ICF. In the 2nd and 3rd round, experts judged EFs according to its relevance to obtain consensus (cut-off 75%). Categories were ranked on a scale from mostly important to important.
Results: One hundred and twelve Austrian and 109 Swiss experts were recruited. The content analysis revealed 768 EFs. The study resulted in a list of 176 consensus factors for Austria and 177 Switzerland. Five categories revealed to be highly important, 12 moderately important, 6 fairly important, and 10 important.
Conclusions: This study indicates that participation in work or social life is influenced by physical, social, attitudinal, and policy factors. Consensus factors afford insights into areas for consideration in the development of participation outcome measurements and support a comprehensive and inclusive rehabilitation approach.
Objective: Many studies published in the journal WORK in the recent decades have discussed work and employment trends. However, the dimensions of these contributions over time have not been reviewed. The main objective of this study was to investigate the knowledge development in regard to work-related rehabilitation in WORK over the last two decades.
Methods: A scoping review was conducted using the following five stages: (i) identifying research question, (ii) identifying relevant studies, (iii) study selection, (iv) charting, summarizing, and collating the data, and (v) reporting the results. Studies were selected from the WORK Article Database.
Results: Seventy-five relevant studies were identified. The findings reflect that WORK has published papers from across the world, with most of the studies from the United States, Sweden, Canada, and Hong Kong. The complexity and multi-factorial nature of work-related rehabilitation was reflected in the application of quantitative, qualitative, and mixed method research approaches, as well as case studies. Study participants were characterized by work, and non-work related injuries, systematic diseases/chronic illness, fulfilled certain socio-demographic characteristic, and represented various stakeholders. Fewer studies drew on secondary resources. In the findings one re-occurring theme has been noted: 'maintaining/obtaining/returning to secure and stable employment/work'.
Conclusions: Four key-reflections evolved from this scoping review that provide potential avenues for future research. These key-reflections include (i) the national, transnational and international dimension of the reviewed studies, (ii) the various societal levels informing work-related rehabilitation practices, (iii) the diversity of methodologies applied in current research, and (iv) the variability of terminology used within the reviewed studies. The journal WORK has published a variety of research over the last two decades and contributed significantly to our current understanding of work-related rehabilitation. However, further research in these reflective areas would expand the current knowledge base.
Die Forschung und Entwicklung im Bereich der Bauakustik erfolgt bislang schwerpunktmäßig durch aufwändige messtechnische Parameterstudien. Eine wesentliche Reduzierung dieses Aufwands kann dadurch erreicht werden, dass die Bauteil-Parameterstudien nicht mehr ausschließlich durch Messungen erfolgen, sondern auch anhand von geeigneten Berechnungsmodellen durchgeführt werden. Dazu wurde ein umfassendes Berechnungsmodell erarbeitet und anhand von Messergebnissen validiert. Wesentliche Grundlage für die volumenorientierte akustische Simulation ist dabei die p-Version der Methode der Finiten Elemente. Auf Basis der numerischen Berechnungen wurden die Wechselwirkungen der Deckenkomponenten untersucht und optimierte Konstruktionen erarbeitet. Nach deren messtechnischen Überprüfung konnten die Ergebnisse in Form von Konstruktionshilfen für optimierte Aufbauten zusammengestellt werden.
Betriebliche Prozesse
(2010)
Reverberation effects as observed by room microphones severely degrade the performance of automatic speech recognition systems. We investigate the use of dereverberation by spectral subtraction as proposed by Lebart and Boucher and introduce a simple approach to estimate the required decay parameter by clapping hands. Experiments on small vocabulary continuous speech recognition task on read speech show that using the calibrated dereverberation improves WER from 73.2 to 54.7 for the best microphone. In combination with system adaptation, the WER could be reduced to 28.2, which is only a 16% relative loss of performance comparison to using a headset instead of a room microphone.
Data fusion plays a central role in more and more automotive applications, especially for driver assistance systems. On the one hand the process of data fusion combines data and information to estimate or predict states of observed objects.
On the other hand data fusion introduces abstraction layers for data description and allows building more flexible and modular systems.The data fusion process can be divided into a low-level processing (tracking and object discrimination) and a high level processing (situation assessment).
High level processing becomes more and more the focus of current research as different assistance applications will be combined into one comprehensive assistance system.
Different levels/strategies for data fusion can be distinguished: Fusion on raw data level, fusion on feature level and fusion on decision level.
All fusion strategies can be found in current driver assistance implementations.
The paper gives an overview of the different fusion strategies and shows their application in current driver assistance systems. For low level processing a raw data fusion approach in a stereo video system is described, as an example for feature level fusion the fusion of radar and camera data for tracking is explained.
As an example for a high level fusion algorithm an approach for a situation assessment based on multiple sensors is given. The paper describes practical realizations of these examples and points out their potential to further increase traffic safety with reasonably low cost for the overall system.