http://www.colloquiam.com/wd/index.php?action=history&feed=atom&title=2023a 2023a - Revision history 2026-05-11T14:31:05Z Revision history for this page on the wiki MediaWiki 1.27.0-wmf.10 http://www.colloquiam.com/wd/index.php?title=2023a&diff=276572&oldid=prev JSanchez: JSanchez moved page Draft Sanchez Pinedo 309387587 to 2023a 2023-05-24T10:43:25Z <p>JSanchez moved page <a href="/public/Draft_Sanchez_Pinedo_309387587" class="mw-redirect" title="Draft Sanchez Pinedo 309387587">Draft Sanchez Pinedo 309387587</a> to <a href="/public/2023a" title="2023a">2023a</a></p> <table class="diff diff-contentalign-left" data-mw="interface"> <tr style='vertical-align: top;' lang='en'> <td colspan='1' style="background-color: white; color:black; text-align: center;">← Older revision</td> <td colspan='1' style="background-color: white; color:black; text-align: center;">Revision as of 10:43, 24 May 2023</td> </tr><tr><td colspan='2' style='text-align: center;' lang='en'><div class="mw-diff-empty">(No difference)</div> </td></tr></table> JSanchez http://www.colloquiam.com/wd/index.php?title=2023a&diff=276523&oldid=prev JSanchez at 10:28, 24 May 2023 2023-05-24T10:28:10Z <p></p> <table class="diff diff-contentalign-left" data-mw="interface"> <col class='diff-marker' /> <col class='diff-content' /> <col class='diff-marker' /> <col class='diff-content' /> <tr style='vertical-align: top;' lang='en'> <td colspan='2' style="background-color: white; color:black; text-align: center;">← Older revision</td> <td colspan='2' style="background-color: white; color:black; text-align: center;">Revision as of 10:28, 24 May 2023</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l3" >Line 3:</td> <td colspan="2" class="diff-lineno">Line 3:</td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>The increasing interest on Digital Twins (DTs) solutions in Industry 4.0 (I4.0) is transforming industrial processes towards a more profitable and sustainable production. In an industrial environment DTs enable the creation of virtual replica of industrial products, services, and processes, allowing a more effective management. The DIGITbrain project [1] aims for the development of an integrated digital platform to provide Small and Medium-sized Enterprises (SMEs) access to DT technology. Within this context several use cases have been created using different types of models. We have developed models using CAELIA—, an authoring tool developed at ITAINNOVA for the generation and the management of Reduced Order Modelling (ROM) -based models [2]. CAELIA—ROM models are obtained through the Twinkle library (which can work both on dense and sparse data, and it is especially designed for unstructured data), and are based on self-adapted Tensor Rank Decomposition (TRD). Moreover, we have developed a real-time co-simulation structure linking Gazebo robot environment and controllers in Matlab using delay compensators [3]. The use case is a quarter car, as a sample for the foreseen vehicles to be integrated into a set of automated robots’ fleet, by means of co-simulation. Such a system of robotic vehicles uses RabbitMQ for node-master communications, enabling remote control and autonomous movements. All use cases developed at ITAINNOVA were conceived within the DIGITbrain environment, where all applications must be entirely reusable. A recombination of use case parts were proven to be reused in different scenarios, such as ROM, co-simulation, and Machine Learning (MLS)</div></td><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>The increasing interest on Digital Twins (DTs) solutions in Industry 4.0 (I4.0) is transforming industrial processes towards a more profitable and sustainable production. In an industrial environment DTs enable the creation of virtual replica of industrial products, services, and processes, allowing a more effective management. The DIGITbrain project [1] aims for the development of an integrated digital platform to provide Small and Medium-sized Enterprises (SMEs) access to DT technology. Within this context several use cases have been created using different types of models. We have developed models using CAELIA—, an authoring tool developed at ITAINNOVA for the generation and the management of Reduced Order Modelling (ROM) -based models [2]. CAELIA—ROM models are obtained through the Twinkle library (which can work both on dense and sparse data, and it is especially designed for unstructured data), and are based on self-adapted Tensor Rank Decomposition (TRD). Moreover, we have developed a real-time co-simulation structure linking Gazebo robot environment and controllers in Matlab using delay compensators [3]. The use case is a quarter car, as a sample for the foreseen vehicles to be integrated into a set of automated robots’ fleet, by means of co-simulation. Such a system of robotic vehicles uses RabbitMQ for node-master communications, enabling remote control and autonomous movements. All use cases developed at ITAINNOVA were conceived within the DIGITbrain environment, where all applications must be entirely reusable. A recombination of use case parts were proven to be reused in different scenarios, such as ROM, co-simulation, and Machine Learning (MLS)</div></td></tr> <tr><td colspan="2">&#160;</td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr> <tr><td colspan="2">&#160;</td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">== Full Paper ==</ins></div></td></tr> <tr><td colspan="2">&#160;</td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">&lt;pdf&gt;Media:Draft_Sanchez Pinedo_30938758715_file.pdf&lt;/pdf&gt;</ins></div></td></tr> <!-- diff cache key mw_drafts_scipedia-sc_mwd_:diff:version:1.11a:oldid:276521:newid:276523 --> </table> JSanchez http://www.colloquiam.com/wd/index.php?title=2023a&diff=276521&oldid=prev JSanchez at 10:28, 24 May 2023 2023-05-24T10:28:08Z <p></p> <table class="diff diff-contentalign-left" data-mw="interface"> <col class='diff-marker' /> <col class='diff-content' /> <col class='diff-marker' /> <col class='diff-content' /> <tr style='vertical-align: top;' lang='en'> <td colspan='2' style="background-color: white; color:black; text-align: center;">← Older revision</td> <td colspan='2' style="background-color: white; color:black; text-align: center;">Revision as of 10:28, 24 May 2023</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1" >Line 1:</td> <td colspan="2" class="diff-lineno">Line 1:</td></tr> <tr><td colspan="2">&#160;</td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">&#160; &#160; &#160; &#160; &#160; &#160; &#160; &#160; &#160; &#160; &#160; &#160; &#160; &#160; &#160; &#160; </ins></div></td></tr> <tr><td colspan="2">&#160;</td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">==Abstract==</ins></div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'>&#160;</td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr> <tr><td colspan="2">&#160;</td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">The increasing interest on Digital Twins (DTs) solutions in Industry 4.0 (I4.0) is transforming industrial processes towards a more profitable and sustainable production. In an industrial environment DTs enable the creation of virtual replica of industrial products, services, and processes, allowing a more effective management. The DIGITbrain project [1] aims for the development of an integrated digital platform to provide Small and Medium-sized Enterprises (SMEs) access to DT technology. Within this context several use cases have been created using different types of models. We have developed models using CAELIA—, an authoring tool developed at ITAINNOVA for the generation and the management of Reduced Order Modelling (ROM) -based models [2]. CAELIA—ROM models are obtained through the Twinkle library (which can work both on dense and sparse data, and it is especially designed for unstructured data), and are based on self-adapted Tensor Rank Decomposition (TRD). Moreover, we have developed a real-time co-simulation structure linking Gazebo robot environment and controllers in Matlab using delay compensators [3]. The use case is a quarter car, as a sample for the foreseen vehicles to be integrated into a set of automated robots’ fleet, by means of co-simulation. Such a system of robotic vehicles uses RabbitMQ for node-master communications, enabling remote control and autonomous movements. All use cases developed at ITAINNOVA were conceived within the DIGITbrain environment, where all applications must be entirely reusable. A recombination of use case parts were proven to be reused in different scenarios, such as ROM, co-simulation, and Machine Learning (MLS)</ins></div></td></tr> <!-- diff cache key mw_drafts_scipedia-sc_mwd_:diff:version:1.11a:oldid:276520:newid:276521 --> </table> JSanchez http://www.colloquiam.com/wd/index.php?title=2023a&diff=276520&oldid=prev JSanchez: Created blank page 2023-05-24T10:28:06Z <p>Created blank page</p> <p><b>New page</b></p><div></div> JSanchez