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.
We argue that Genetic Improvement can be successfully used for enhancing road trac data mining. is would support the relevant decision makers with extending the existing network of devices that sense and control city trac, with the end goal of improving vehicle ow and reducing the frequency of road accidents. Our position results from a set of preliminary observations emerging from the analysis of open access road trac data collected in real time by the Birmingham City Council.
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.
Advances in Security and Privacy for Mobile Users in Intelligent Environments
Call for Papers
Security and privacy are vital challenges for mobile users as they move around denser and more prevalent intelligent environments embedded with different connected smart objects that interact with each other and with mobile users in new ways. The focus of security and privacy is predominantly on protecting the use of personal smart tab and pad sized devices such as smart phones, tablets, and laptops by mobile users, in passive environments.