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The aim of the paper is to present the simulation of the sweeping process based on a mathematical model that includes the drag force, the lift force, the sideway force, and the gravity. At the beginning, it is presented a short history of the street sweepers, some considerations about the sweeping process and the parameters of the sweeping process. Considering the developed model, in Matlab there is done some simulation for the trajectory of a spherical pebble. The obtained results are presented in graphical shape.
The corporate entrepreneur
(2016)
Corporate entrepreneurship is one tool for established companies to strengthen their capabilities for strategic renewal and innovativeness. The question, however, which factors are influencing the success of a corporate entrepreneurship initiative requires further attention. The corporate entrepreneur who is acting as both the leader of embedded entrepreneurial teams and linking pin to the corporate, is providing one possible perspective. Based on 6 interviews conducted in 6 German organizations this study contributes to the understanding of the role of the corporate entrepreneur and how this role can be distinguished from other roles in the context of innovation.
Stress is recognized as a predominant disease with raising costs for rehabilitation and treatment. Currently there several different approaches that can be used for determining and calculating the stress levels. Usually the methods for determining stress are divided in two categories. The first category do not require any special equipment for measuring the stress. This category useless the variation in the behaviour patterns that occur while stress. The core disadvantage for the category is their limitation to specific use case. The second category uses laboratories instruments and biological sensors. This category allow to measure stress precisely and proficiently but on the same time they are not mobile and transportable and do not support real-time feedback. This work presents a mobile system that provides the calculation of stress. For achieving this, the of a mobile ECG sensor is analysed, processed and visualised over a mobile system like a smartphone. This work also explains the used stress measurement algorithm. The result of this work is a portable system that can be used with a mobile system like a smartphone as visual interface for reporting the current stress level.
In this paper we provide a performance analysis framework for wireless industrial networks by deriving a service curve and a bound on the delay violation probability. For this purpose we use the (min,×)stochastic network calculus as well as a recently presented recursive formula for an end-to-end delay bound of wireless heterogeneous networks. The derived results are mapped to WirelessHART networks used in process automation and were validated via simulations. In addition to WirelessHART, our results can be applied to any wireless network whose physical layer conforms the IEEE 802.15.4 standard, while its MAC protocol incorporates TDMA and channel hopping, like e.g. ISA100.11a or TSCH-based networks. The provided delay analysis is especially useful during the network design phase, offering further research potential towards optimal routing and power management in QoS-constrained wireless industrial networks.
Sprachliche Anforderungen in verschiedenen Fächern, Vermittlungskonzepte und Kursorganisation
(2016)
Der von Ehlich eingeführte Begriff „alltägliche Wissenschaftssprache“ hat die Diskussion um die Sprachvermittlung für den Sprachgebrauch im Studium maßgeblich geprägt. Auch die Abkürzung „AWS“ ist mittlerweile recht verbreitet. Gemeint sind sprachliche Elemente, die neben der Fachterminologie in unterschiedlichen Disziplinen weitgehend ähnlich sind. Man geht davon aus, dass diese Elemente in mehreren Disziplinen verwendet werden. Mit dieser Argumentation lässt sich eine disziplinübergreifende Sprachvermittlung begründen. In diesem Beitrag wird das AWS-Konzept einer neuerlichen Betrachtung unterzogen.
Dazu werden folgende Fragen formuliert:
1. Ist ein disziplinübergreifender Ansatz für die Kursorganisation hilfreich? Das AWS-Konzept bezieht seine Attraktivität auch aus dem praktischen Nutzen für die Planung von Sprachkursen, denn es ist häufig schwierig, gesonderte Sprachkurse für verschiedene Disziplinen anzubieten.
2. Ist das Konzept der AWS aus linguistischer Sicht zutreffend? Zur Frage, wie unterschiedlich die sprachlichen Anforderungen der einzelnen wissenschaftlichen Disziplinen sind, gibt es in der Literatur divergierende Auffassungen. Einige Forschungsansätze und Ergebnisse werden in diesem Beitrag skizziert.
3. Überzeugt das Konzept der AWS als Grundlage für Vermittlungsprozesse? Ein Blick auf Lehrmaterialien verdeutlicht, wie Wissenschaftssprache disziplinübergreifend vermittelt werden kann und welche Probleme sich ergeben.
Die hier vorgestellten Überlegungen münden letztlich in den Appell, die unterschiedlichen sprachlichen Anforderungen in den verschiedenen Fächern nach Möglichkeit zu berücksichtigen.
The development of native user interface components is a time consuming and repetitive process, especially for quite simple components like text fields in a form. In order to save time during development an approach is presented in this paper, abstracting the description of the elements into separate files independent from the source code. With aspects from generative and model-driven approaches this leads to simple reusable UI components without the need of deep knowledge in native programming languages.
Cognitive radio (CR) is a key enabler of wireless in industrial applications especially for those with strict quality-of-service (QoS) requirements. The cornerstone of CR is spectrum occupancy prediction that enables agile and proactive spectrum access and efficient utilization of spectral resources. Hidden Markov Models (HMM) provide powerful and flexible tools for statistical spectrum prediction. In this paper we introduce a HMM-based spectrum prediction algorithm for industrial applications that accurately predicts multiple slots in the future. Traditional HMM prediction approaches use two hidden states enabling the prediction of only one step ahead in the future. This one step is most often not enough due to internal hardware delays that render it outdated. We show in this work that extending the number of hidden states and formulating the prediction problem as a maximum likelihood (ML) classification approach enables a prediction span of multiple slots in the future even with fine spectrum sensing resolution. We verify the suitability of our approach to industrial wireless through extensive simulations that utilize a realistic measurement-based traffic model specifically tailored for industrial automotive settings.