IIoT Archives - Balluff Blog

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Java machine-learning libraries

Introduction In an earlier article I mentioned briefly some possibilities for bringing python-trained machine learning models into production. Specifically, a java environment. In this article I will take a closer look at how this can done and what pitfalls we should avoid. Keras In the words of the Keras website,

Digitalization & IIoT Industry 4.0

Predicting a distribution: confidence intervals and Keras

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Introduction When we work with classification or regression models we are seeking to predict either a discrete value, or a value along a continuum. The accuracy of these models is implicit in the metric we use when training: either in the cost function during the actual training, or something like

Digitalization & IIoT

Dask: Out-of-memory machine learning

Introduction Why Dask? For those of us who regularly work with python machine learning libraries, the Pandas DataFrame library is a firm fixture in our toolkit. Pandas DataFrames allow fast and efficient manipulation of data and a host of data wrangling functions. And the processing is fast because pandas does

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Digitalization & IIoT Industrial Internet of Things

Unsupervised anomaly detection using an ensemble of one-class random forest classifiers

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Introduction Unsupervised anomaly detection with unlabeled data – is it possible to detect outliers when all we have is a set of uncommented, context-free signals? The short answer is, yes – this is the essence of how one deals with network intrusion, fraud, and other types of low-instance anomaly. In

Automotive Digitalization & IIoT Industrial Internet of Things IO-Link Photoelectronic Sensors Sensors

Smart IO-Link Sensors for Smart Factories

Digitizing the production world in the age of Industry 4.0 increases the need for information between the various levels of the automation pyramid from the sensor/actuator level up to the enterprise management level.

Automation Industrial RFID Systems Industry 4.0 Machine & Plant Engineering Metalworking

Tool-ID meets Track & Trace

In this contribution you can read about what technical prerequisites have to be met for RFID to play such an important role in tool identifi cation and workpiece tracking, and what RFID means for modern production. Tool Identification and Workpiece Tracking RFID – A key technology in modern production Tool-ID

Automation Digitalization & IIoT Industrial Identification Industry 4.0 Machine & Plant Engineering White Paper

Mold Management with RFID for Injection Molding – A Step to Industry 4.0 – White Paper

White paper: Mold Management with RFID for Injection Molding – A Step to Industry 4.0 The terms Industry 4.0, Big Data and the Industrial Internet of Things (IIoT) are now on everyone’s lips. They describe the intelligent networking of extremely diverse areas in industry. Objective of this White Paper