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This paper describes the security mechanisms of several wireless building automation technologies, namely ZigBee, EnOcean, ZWave, KNX, FS20, and Home-Matic. It is shown that none of the technologies provides the necessary measure ofsecurity that should be expected in building automation systems. One of the conclusions drawn is that software embedded in systems that are build for a lifetime of twenty years or more needs to be updatable.
Schlussbericht HIGEDIS
(2015)
Recent work in image captioning and scene-segmentation has shown significant results in the context of scene-understanding. However, most of these developments have not been extrapolated to research areas such as robotics. In this work we review the current state-ofthe- art models, datasets and metrics in image captioning and scenesegmentation. We introduce an anomaly detection dataset for the purpose of robotic applications, and we present a deep learning architecture that describes and classifies anomalous situations. We report a METEOR score of 16.2 and a classification accuracy of 97 %.
Der zunehmende Wunsch der Verbraucher nach einem natürlichen Lebensstil führt unter anderem zu einem erhöhten Konsum von Rohmilch und Milchprodukten aus unpasteurisierter Milch (Hudopisk et al., 2013). Rohmilchkonsumenten bevorzugen Rohmilch zum Einen wegen des subjektiven Eindrucks eines besseren Geschmacks und zum Anderen versprechen sie sich gesundheitliche Vorteile, wie eine reduzierte Empfindlichkeit gegen Allergien und eine bessere Qualität der enthaltenen Nährstoffe, durch den Verzehr unbehandelter Milch (Claeys et al., 2014). Mit dem Konsum von Rohmilch gehen allerdings mikrobiologische Risiken einher, da Rohmilch aufgrund ihres neutralen pH-Wertes, dem hohen Nährstoffgehalt und der hohen Wasseraktivität einen guten Nährboden für mikrobielles Wachstum darstellt. Das Wachstum von verschiedenen Mikroorganismen wird dabei größtenteils durch die Temperatur, die kompetitive Begleitflora und die Anwesenheit von Hemmstoffen beeinflusst (Claeys et al., 2013).Mögliche Kontaminationen der Rohmilch resultieren entweder aus einer direkten Abgabe von Mikroorganismen durch das Euter, als Konsequenz von Entzündungen oder durch eine indirekte Kontamination während des Melkvorgangs oder der späteren Handhabung (EFSA, 2015).
Die sogenannte Regionalstudie trägt den Langtitel "Regionalwirtschaftliche Bedeutung der Hochschule Bonn-Rhein-Sieg und zukünftige Einbindung in die strategische Entwicklung der Region" und wurde 2010 erstellt und 2011 veröffentlicht. Sie analysiert die regionalwirtschaftliche Bedeutung der Hochschule primär unter quantitativen Aspekten und aus externer Sicht. Viele der daraus resultierenden Anregungen für die strategische Ausrichtung der Hochschule wurden bereits während der Feldphase im Hochschulentwicklungsplan aufgegriffen, konnten wegen der Parallelität aber nicht in der Studie Eingang finden.
Die Analyse zeigt, welchen Beitrag die Hochschule für die regionale Entwicklung leisten kann - im Einklang mit den Kommunen, der Gebietskörperschaften und der regional ansässigen Unternehmen.
Emotional communication is a key element of habilitation care of persons with dementia. It is, therefore, highly preferable for assistive robots that are used to supplement human care provided to persons with dementia, to possess the ability to recognize and respond to emotions expressed by those who are being cared-for. Facial expressions are one of the key modalities through which emotions are conveyed. This work focuses on computer vision-based recognition of facial expressions of emotions conveyed by the elderly.
Although there has been much work on automatic facial expression recognition, the algorithms have been experimentally validated primarily on young faces. The facial expressions on older faces has been totally excluded. This is due to the fact that the facial expression databases that were available and that have been used in facial expression recognition research so far do not contain images of facial expressions of people above the age of 65 years. To overcome this problem, we adopt a recently published database, namely, the FACES database, which was developed to address exactly the same problem in the area of human behavioural research. The FACES database contains 2052 images of six different facial expressions, with almost identical and systematic representation of the young, middle-aged and older age-groups.
In this work, we evaluate and compare the performance of two of the existing imagebased approaches for facial expression recognition, over a broad spectrum of age ranging from 19 to 80 years. The evaluated systems use Gabor filters and uniform local binary patterns (LBP) for feature extraction, and AdaBoost.MH with multi-threshold stump learner for expression classification. We have experimentally validated the hypotheses that facial expression recognition systems trained only on young faces perform poorly on middle-aged and older faces, and that such systems confuse ageing-related facial features on neutral faces with other expressions of emotions. We also identified that, among the three age-groups, the middle-aged group provides the best generalization performance across the entire age spectrum. The performance of the systems was also compared to the performance of humans in recognizing facial expressions of emotions. Some similarities were observed, such as, difficulty in recognizing the expressions on older faces, and difficulty in recognizing the expression of sadness.
The findings of our work establish the need for developing approaches for facial expression recognition that are robust to the effects of ageing on the face. The scientific results of our work can be used as a basis to guide future research in this direction.
Das Projekt adressiert ein Problem aus dem Bereich Medizintechnologie (ein NRW-Förderschwerpunkt): die Entwicklung eines für Patienten maßgeschneiderten Gewebeersatzmaterials, ein Knochensurrogat. Kritische (“critical size“) Knochendefekte stellen ein signifikantes Gesundheitsproblem dar, das durch die zurzeit gängigen Knochenersatzmaterialien nicht bzw. nicht effizient therapiert werden kann. Kritische Knochendefekte werden mit artifiziellen Biomaterialien behandelt, die bislang eine unzureichende Regenerationskapazität aufweisen.
Publikation Umweltdaten
(2009)
Data management is a challenge in both scientific and technical environments. Therefore researchers have developed a special interest in this field. Modern approaches (i.e. Subversion, CVS) already offer authoring and versioning in distributed systems. However this might be insufficient in a vast number of scenarios, where not only the data resulting from a process, but also data which describes the process that generated those results is crucial.
Business process infrastructures like BPMS (Business Process Management Systems) and WfMS (Workflow Management Systems) traditionally focus on the automation of processes predefined at design time. This approach is well suited for routine tasks which are processed repeatedly and which are described by a predefined control flow. In contrast, knowledge-intensive work is more goal and data-driven and less control-flow oriented. Knowledge workers need the flexibility to decide dynamically at run-time and based on current context information on the best next process step to achieve a given goal. Obviously, in most practical scenarios, these decisions are complex and cannot be anticipated and modeled completely in a predefined process model. Therefore, adaptive and dynamic process management techniques are necessary to augment the control-flow oriented part of process management (which is still a need also for knowledge workers) with flexible, context-dependent, goaloriented support.