Cloud-based manufacturing (CBM) interoperability in Industry 4.0

Cloud computing (CC) is generating new compute and business models thanks to its service-based nature, which enables collaboration and data exchange at higher level, more flexibility with better efficiency and parallel decreasing costs. Manufacturing environments can also benefit from cloud technology and follow fast changes in market demands. In these new scenarios interoperability has vital importance in the operation and interaction among industrial realizations of the Cyber-physical Systems.

Robust digital twin compositions for Industry 4.0 smart manufacturing systems

Industry 4.0 is an emerging business paradigm that is reaping the benefits of enabling technologies driving intelligent systems and environments. By acquiring, processing and acting upon various kinds of relevant context information, smart automated manufacturing systems can make well-informed decisions to adapt and optimize their production processes at runtime.

Industry 4.0: Mining Physical Defects in Production of Surface-Mount Devices

With the advent of Industry 4.0, production processes have been endowed with intelligent cyber-physical systems generating massive amounts of streaming sensor data. Internet of Things technologies have enabled capturing, managing, and processing production data at a large scale in order to utilize this data as an asset for the optimization of production processes. In this work, we focus on the automatic detection of physical defects in the production of surfacemount devices.

Gaining Insights into Road Traffic Data through Genetic Improvement

We argue that Genetic Improvement can be successfully used for enhancing road trac data mining. Œis would support the relevant decision makers with extending the existing network of devices that sense and control city trac, with the end goal of improving vehicle ƒow and reducing the frequency of road accidents. Our position results from a set of preliminary observations emerging from the analysis of open access road trac data collected in real time by the Birmingham City Council.

Call for papers for the Special issue on "Big Data for Context-Aware Applications and Intelligent Environments"

This special issue addresses core topics on the design, the use and the evaluation of Big Data enabling technologies to build next-generation context-aware applications and computing systems for future intelligent environments. Disruptive paradigm shifts such as the Internet of Things (IoT) and Cyber-Physical Systems (CPS) will create a wealth of streaming context information.