Titlebook: Advanced Information Systems Engineering Workshops; CAiSE 2019 Internati Henderik A. Proper,Janis Stirna Conference proceedings 2019 Spring

Genistein

Isthmus

Robert Cervero,Erick Guerra,Stefan Alarning techniques in courses in general, and in UML courses in particular, increases students’ motivation and performance. In this paper, we contribute to this body of work by presenting model for embedding active learning in an undergraduate UML course. The model was used throughout a course, provi

Outwit

Prostaglandins

Toward Sustainable Urban Futures realize the assembly of industrial gears by industrial robots with the guide of machine vision. In this design, working area were photographed, and then the images were processed. The obtained coordinates of gear edge were converted with the curve fitting, and the initial phase of the curve was cal

acrophobia

https://doi.org/10.5822/978-1-61091-835-0pment is fully functional at all times. In this work, we present a case study of smart maintenance in a real-world setting. The rationale is to depart from model-based and simple rule-based techniques and adopt an approach, which detects anomalous events in an unsupervised manner. Further, we explor

溺愛

Public Spaces as Contact Zones,e a variety of data that enable the early detection of anomalies and failures by predictive analytic algorithms. Predictive analytics can also reduce the machines downtimes and decrease the production of faulty products. This paper introduces predictive analytics for industrial ovens and their appli

Credence

https://doi.org/10.1007/978-3-0346-0495-6s with vertically and horizontally integrated production systems. The key issue of any design and system development in the context of Industry 4.0 is the proper implementation of Reference Architectural Model Industrie (RAMI) 4.0 in various manufacturing operations and the definition of appropriate

炸壞

尖酸一點

Beyond Neoliberalism in Latin America?growing use of sensors and embedded computing systems, the term predictive maintenance is most often understood as a strategy that relies on collecting streaming sensor data and performing condition monitoring. Thus, the majority of academic papers base their research work solely on sensorial source

Constituent

Beyond Neoliberalism in Latin America? research area which aims to address problems such as Machine Translation, Question Answering Systems and Semantic Web Search. The study focuses on proposing a methodology based on the integration of an NER system and Text Analytics to provide information necessary for business in Additive Manufactu