<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Architecture |</title><link>https://mikelayuso.com/tags/architecture/</link><atom:link href="https://mikelayuso.com/tags/architecture/index.xml" rel="self" type="application/rss+xml"/><description>Architecture</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Tue, 21 Sep 2021 00:00:00 +0000</lastBuildDate><image><url>https://mikelayuso.com/media/icon_hu_b0970716f810afd6.png</url><title>Architecture</title><link>https://mikelayuso.com/tags/architecture/</link></image><item><title>Hyperconnected Architecture for High Cognitive Production Plants</title><link>https://mikelayuso.com/papers/hyperconnected-architecture/</link><pubDate>Tue, 21 Sep 2021 00:00:00 +0000</pubDate><guid>https://mikelayuso.com/papers/hyperconnected-architecture/</guid><description>&lt;h2 id="abstract"&gt;Abstract&lt;/h2&gt;
&lt;p&gt;The HyperCOG project addresses the full digital transformation of process industry through an innovative Industrial Cyber-Physical System and Data Analytics. It is based on advanced technologies that enable the development of a hyperconnected network of digital nodes. The nodes can catch outstanding streams of data in real-time, which together with the high computing capabilities, provide sensing, knowledge and cognitive reasoning, making companies robust in the face of variant scenarios. The breaking-edge system proposed in this work is validated on productivity, environmental and replicability aspects on three use cases of three different sectors: steel, cement and chemical.&lt;/p&gt;
&lt;h2 id="key-contributions"&gt;Key Contributions&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;Architecture for seamless data integration across production systems&lt;/li&gt;
&lt;li&gt;Cognitive layer design for intelligent decision support&lt;/li&gt;
&lt;li&gt;Implementation guidelines for Industry 4.0 transition&lt;/li&gt;
&lt;/ul&gt;</description></item></channel></rss>