Author name: pro2future

Linz hosts IoT 2017 in October

The IoT 2017 (7th International Conference on the Internet of Things) visits Linz for the first time. Following Switzerland, Japan, China, USA, South Korea, and Germany, the international conference IoT comes to Austria for the first time. The conference is taking place at the Johannes Kepler University Linz (JKU) from Oct 22-25, 2017, which is particularly …

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Pro²Future at the AR / VR Conference in Kufstein Tirol

Stefan Thalmann presents in his lecture „AR for Decision Support in Industry 4.0 Workstations“ Pro²Future and the Area 3 „Cognitive Decision Support” to 150 visitors at the AR / VR Conference in Kufstein Tirol.   For more information visit: AR / VR Conference, FH Kufstein  

Pro²Future goes operational – first project started

Predictive Maintenance in Distributed Production Environments On August 1 2017, the first co-operative research project between Pro2Future GmbH, the Company Partner EPCOS OHG und the Scientific Partner TU Graz could be launched. EPCOS-TDK in Deutschlandsberg, Styria operates a very complex and highly automated production leading to the collection of a huge amount of data. Currently, …

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Supporting Cognitive Decision Making

To support human decision making Area 3 defines two objectives: Combine data-driven approaches with configuration management methods and simulation environments in order to provide a reliable, trustworthy (data) basis for decision making. Provide this objective basis for decision making to humans in such a way that it takes into account their cognitive capabilities (e.g., information …

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Unified Dependable Wireless Services f. Cognitive Products

Unified Dependable Wireless Services Dependable wireless ICT platforms will enable cognitive products to anticipate, react, and adapt to their environment by providing Sensing of the environment of cognitive products, Localization of the product in and outside of the production environment, Networking of products and productions systems.

Predictive Maintenance for Products

In this project an intelligent infrastructure for supporting a distributed maintenance system with respect to monitoring, detecting, analyzing, understanding product data for maintenance decisions will be researched: Monitoring the Production system and collecting data with a secure infrastructure Analyzing and Mining Data with respect to maintenance situations Simulation and Reasoning for Predicting Maintenance needs with …

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Learning and Transferring semi-automated Processes

Multimodal Technologies for learning and transferring semi-automated processes Cost Reduction in Machine (Re-)Configuration Configuring production machines in industrial environments take from two hours to two days today. Automated Learning from Similar Settings Overall long term vision to which this project contributes, are cognitive capabilities of machines to be able to learn and understand good configuration …

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Ethical Machines

Poor Implementation of Ethical Principles in large scale, interactive ICT systems The envisaged research shall not only lead to more robust, trustworthy and adaptive ICT systems, but shall also enable us to include ethical considerations in computers and software in the context of their interaction with humans and their environment. In this way it will …

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SeeIT

Augmented Work Processes Suboptimal Information during industrial workflow During a typical industrial workflow workers need to track information from a variety of sources, usually spread out throughout a multitude of displays. Interaction with information in such segregated manner: negatively affects workers attention, impacts their cognitive capacities results in a decrease of their productivity.