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Proactive Error Prevention in Manufacturing Based on an Adaptable Machine Learning Environment
(2019)
Semi-rigid ring-shaped electrode dielectric electroactive polymer membrane as buckling actuator
(2019)
Ganzheitlicher Ansatz
(2019)
Ensuring data quality is central to the digital transformation in industry. Business processes such as predictive maintenance or condition monitoring can be implemented or improved based on the available data. In order to guarantee high data quality, a single data validation system are usually used to validate the production data for further use. However, using a single system allows an attacker only to perform one successful attack to corrupt the whole system. We present a new approach in which a data validation system using multiple different validators minimizes the probability of success for the attacker. The validators are arranged in clusters based on their properties. For a validation process, a challenge is given that specifies which validators should perform the current validation. Validation results from other validators are dropped. This ensures that even for more than half of the validators being corrupted anomalies can be detected during the validation process.
Formal Description of Use Cases for Industry 4.0 Maintenance Processes Using Blockchain Technology
(2019)
Flexible piezoresistive PDMS metal-thin-film sensor-concept for stiffness evaluation of soft tissues
(2019)
Auf die Frage, was die Wissenschaft der Physiotherapie ist, gibt es derzeit keine zufriedenstellende Antwort. Das weist einleitend bereits auf das kritische Fazit des Beitrags hin. Eine wissenschaftliche Disziplin ist in der Lage, eine Antwort darauf zu geben, welches ihr Gegenstand, ihre Methoden des Erkenntnisgewinns und ihr Geltungsbereich sind. Grundsätzlich ist es sinnvoll, sich zunächst mit wissenschaftstheoretischen Grundannahmen zur Formierung wissenschaftlicher Disziplinen und deren Bezügen zu einer beruflichen Praxis sowie deren eingebunden Sein in eine gesellschaftliche Realität auseinanderzusetzen. Ziel ist es, sich Bedarfen einer physiotherapeutischen Disziplinbildung zuzuwenden und diese darauffolgend an der Realität zu prüfen. Dieser Dreischritt (Klärung wissenschaftstheoretischer Grundannahmen, definieren der Ziele von Theorienentwicklung und ihre empirische Überprüfung) soll im Folgenden mittels einer kritischen Position in Form zweier Thesen, die zur Diskussion gestellt werden, skizziert werden. Was ist eine Physiotherapiewissenschaft und wie steht sie zur Praxis der Physiotherapie?
Cylindrical grinding is an important process in the manufacturing industry. During this process, the problem of grinding burn may appear, which can cause the workpiece to be worthless. In this work, a machine learning neural network approach is used to predict grinding burn based on the process parameters to prevent damage. A small dataset of 21 samples was gathered at a specific machine, grinding always the same element type with different process parameters. Each workpiece got a label from 0 to 3 after the process, indicating the severity of grinding burn. To get a robust neural network model, the dataset has been scaled by augmentation controlled by grinding experts, to generate more samples for training a neural network model. As a result, the model is able to predict the severity of grinding burn in a multiclass classification and it turned out that even with little data, the model performed well.
Collaboration in Mixed Homecare – A Study of Care Actors’ Acceptance Towards Supportive Groupware
(2019)
Membranverfahren bei künstlichen Organen : Transportmodelle zur Auslegung extrakorporaler Verfahren
(2019)
The Bill, Please! Households' Real Returns on Financial Assets Since the Introduction of the Euro
(2019)
Neuroscience and Retail
(2019)
Predictive Virtual Patient Modelling of Mechanical Ventilation: Impact of Recruitment Function
(2019)
Führungskraft Ingenieur
(2019)