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In this paper, the influence of current sensors of a NILM system is investigated. The current sensors of a classical inductive current transformer and a Rogowski coil are compared. To evaluate the actual influence on the NILM, measurements are performed with two measuring systems with different current sensors. With these measuring systems, 20 different consumers with 50 switch-on and switch-off cycles are measured in parallel. Besides, the influence of the sampling rate on the results of the NILM classification is evaluated. The classification is carried out with features normalized to the performance and without phase information, so only the signal waveform is used to differentiate the devices.
Thermofluorimetric, magnetic and lateral flow aptamer based assays for point of care applications
(2020)
Werkzeugmaschine zur Laserkonditionierung von Schleifwerkzeugen unabhängig von deren Spezifikation
(2020)
Machine learning applications, like machine condition monitoring, predictive maintenance, and others, become a state of the art in Industry 4.0. One of many machine learning algorithms are decision trees for the decision-making process. A new approach for creating distributed decision trees, called node based parallelization, is presented. It allows data to be classified through a network of industrial devices. Each industrial device is responsible for a single classification rule. Also, nodes that react incorrectly, for example, due to an attack, are taken into account using a variety of methods to remain the decision-making process correct and robust.
Senatsausschuss Mobilität
(2020)
Der editierte Mensch. Künstliche Intelligenz als Kurator von Erinnerung. Ein postdisziplinärer Essay
(2020)
Michael Burawoy: "For Public Sociology" als Referenzdokument der Debatte um öffentliche Soziologie
(2020)
Lifelogging
(2020)
Notions of "coronavirus" from the perspective of a clinical immunologist and medical historian
(2020)
Adding evidence of the effects of treatments into relevant Wikipedia pages: a randomised trial
(2020)
Requirements of Health Data Management Systems for Biomedical Care and Research: Scoping Review
(2020)
Vom Prozessmodell zum digital erlebbaren Prototypen – Pay-per-Use-Konzept für eine Verpackungsanlage
(2020)
Multidimensionales Service Prototyping : Service Innovationen kreieren, kommunizieren und bewerten
(2020)
For industrial equipment companies, it is a challenge to fight commoditization of products and product-attached services, and to manage the digital transformation.
This report identifies the most relevant business challenges faced by our members. TSIA then translates the challenges into the core capabilities that services organizations of industrial equipment manufacturers will need to embrace to succeed in 2020 and beyond
Onsite deployments of field personnel are highly restricted for equipment and device manufacturers as a result of the COVID-19 crisis. Oftentimes, remote support is the only way to help customers and, increasingly, customer support is provided by a virtual organization.
We now find ourselves in an environment where customers are more accepting of remote connections of their equipment and the use of cloud services to replace onsite deployments for break-fix and maintenance services. These significant shifts in the customer relationship will stay in place well beyond the crisis and are accelerating the digital transformation of vendors and customers.
Detection of Acute Pulmonary Embolism by Electrical Impedance Tomography and Saline Bolus Injection
(2020)
Digitalisierung in Betrieben
(2020)