Händelser: Signaler och system, Elektroteknikhttp://www.chalmers.se/sv/om-chalmers/kalendariumAktuella händelser på Chalmers tekniska högskolaWed, 22 Sep 2021 13:06:25 +0200http://www.chalmers.se/sv/om-chalmers/kalendariumhttps://www.chalmers.se/sv/institutioner/e2/kalendarium/Sidor/Praveen-Raju-Hasbavi,-Tejas-Bharadwaj-Prakash.aspxhttps://www.chalmers.se/sv/institutioner/e2/kalendarium/Sidor/Praveen-Raju-Hasbavi,-Tejas-Bharadwaj-Prakash.aspxPraveen Raju Hasbavi and Tejas Bharadwaj Prakash<p>Online</p><p>​Magnetically Biased Inductors in Switching Converters</p><div><br /></div> <div>​<strong>Opponent: Rohit Puthukode Ramakrishnan, Rahul Puthukode Ramakrishnan</strong></div> <div><strong>Examinator: Torbjörn Thiringer</strong></div> <div><br /></div> <div><strong>Abstract </strong></div> The power electronic industry is striving to shrink the power converter in both weight and volume while still delivering excellent performance. One possible way of making the magnetic component in the converter smaller is to utilize the magnetic material to a greater extent. In the common buck or boost type converter, the material is not used as efficiently as it could be. By introducing a magnetic DC bias in the magnetic circuit of the inductor it could be possible to utilize the entire B-H curve of the magnetic material, this should in principle make it possible to make the inductor smaller.<br /><br />This thesis focuses on designing the biased inductor with a permanent magnet and introducing the designed biased inductor in the boost converter and perform analysis and have a comparison with boost converter having standard inductor. Designing of the standard inductor is performed in COMSOL and the design of the biased inductor is modelled keeping the designed standard inductor as a base model. The boost converter is operated in 25KHz frequency and works at 12V to 24V DC/DC conversion with a power rating at 24W.<br /><br />It was found that the size of the biased inductor is reduced with the factor of four compared to the standard inductor and the weight reduced to 35%. Furthermore, the efficiency of both the boost converter with the standard inductor and biased inductor is studied and it remained almost the same at 93%.<br /><br />Welcome<br />Praveen Raju, Tejas Bharadwaj and Torbjörn https://www.chalmers.se/sv/styrkeomraden/halsa-och-teknik/kalendarium/Sidor/Workshop-diagnostik-bildbehandling-och-AI.aspxhttps://www.chalmers.se/sv/styrkeomraden/halsa-och-teknik/kalendarium/Sidor/Workshop-diagnostik-bildbehandling-och-AI.aspxWorkshop: Diagnostik, bildbehandling och AI<p></p><p>​Välkommen till denna workshop!​​</p><span style="background-color:initial"><br /></span><span></span><div>Sahlgrenska Universitetssjukhuset, Sahlgrenska akademin och Chalmers, via CHAIR och styrkeområde Hälsa och teknik, arrangerar en workshop för att initiera forskningssamverkan inom diagnostik, bildbehandling och  AI. Syftet är att skapa nya konstellationer som kommer att driva på den viktiga och nödvändiga utvecklingen för att lösa hälso- och sjukvårdens utmaningar.<br /><br />Workshopen kommer att vara innehålla korta presentationer från PIs (cirka fem minuter vardera), en kafferast med posterutställning, samt tematiska diskussioner där forskningsbehov och gemensamma intressen ska identifieras. Förmiddagen avslutas med en gemensam lunch.</div> <div><br /></div> <div>Workshopen hålls på Sahlgrenska Universitetssjukhuset, Blå Stråket 5.<br /><br /></div> <div><div>Frågor? Kontakta <a href="mailto:magnus.kjellberg@vgregion.se">Magnus Kjellberg​</a> (magnus.kjellberg@vgregion.se)</div> <h2 class="chalmersElement-H2"><a href="https://forms.office.com/Pages/ResponsePage.aspx?id=VaJi_CBC5EebWkGO7jHaX9rTyo5oUE5MhBAD5UPV_d5UOVhLNzFJV0VaS1FZWFFMMEhFN0dXSzFBSS4u">Anmäl dig här!​</a></h2></div> https://www.chalmers.se/sv/institutioner/e2/kalendarium/Sidor/Cross-collaboration-seminar-about-data-and-AI-usage-in-pre-hospital-stroke-care-decision-making.aspxhttps://www.chalmers.se/sv/institutioner/e2/kalendarium/Sidor/Cross-collaboration-seminar-about-data-and-AI-usage-in-pre-hospital-stroke-care-decision-making.aspxCross collaboration seminar about data and AI usage in pre-hospital stroke care decision making<p>Online</p><p>​This is a seminar about cross-collaboration, potential, challenges related to the data and AI usage in pre-hospital stroke care decision making in Nordic countries and Singapore.</p><div>​<span class="text-normal page-content"><br /></span></div> <div><span class="text-normal page-content"><a href="/en/departments/e2/calendar/Documents/Cross%20collaboration%20seminar.pdf">Read more here</a><br /></span></div> <div>This is a seminar about cross-collaboration, potential, challenges related to the data and AI usage in pre-hospital stroke care decision making in Nordic countries and Singapore. – What has been done, What should be done, What are the challenges and How can we overcome the challenges together?</div> <div><br />It is known that nowadays chronic diseases impose an enormous financial and societal burden on the world.<br />Stroke, or cerebrovascular accidents (CVA), are caused by either a sudden reduction in the blood supply to the<br />brain due to cerebral infarction (a clot, 85% of patients), or by rupture of a blood vessel or aneurysm in the brain (bleeding, 15% of patients). Stroke is the second leading cause of death and disability in Europe after ischemic heart disease, accounting for 405,000 deaths (9%) in men and 583,000 (13%) deaths in women each year. Minimizing time to definitive care is the key to effective stroke treatment.</div> <div><br />In recent years the treatments for stroke have vastly improved, especially with the introduction of thrombectomy that can cure patients with large vessel occlusion effectively by mechanically removing the clot, a specialized intervention often only available at university hospitals. The main challenge to provide the best possible care for stroke patients today is to improve the precision in recognizing stroke and its subtypes already before arrival to hospital, so that time to the most suitable treatment (in the most suitable hospital) is decreased.</div> <div><br /><strong>Data and Artificial Intelligence (AI)</strong> generally has great potential to be used as decision making support for<br />patient management and treatment. For stroke, a critical decision making applies to the most suitable transport destination for the patient. There is large interest in investigating whether an AI, fusion of different types of data such as known medical history, age, gender, vital data, microwave diagnostic data, EEG, and sound/video, can improve the accuracy of the management of stroke patients. Using heterogeneous data together with AI is definitely an opportunity but in practice, making this happen is challenging and require ecosystemic, interdisciplinary, cross country collaboration and ability to solve the data safety and security issues in a right manner.</div> <div><br />The aim of this seminar is to bring together experts from hospitals, companies and research organizations in<br />between Nordic countries and Singapore in order to discuss about the pre-hospital stroke care decision making. What has been done, What should be done, What are the challenges and How can we overcome the challenges together?</div> <div><br /></div> <div><span class="text-normal page-content"><a href="https://forms.gle/BtsrFWSbH48Roq2K9"><strong>Please register at: https://forms.gle/BtsrFWSbH48Roq2K9</strong></a></span><br /><span class="text-normal page-content"></span></div>https://www.chalmers.se/sv/styrkeomraden/produktion/kalendarium/Sidor/initiativ-seminar-2022-resilient-production.aspxhttps://www.chalmers.se/sv/styrkeomraden/produktion/kalendarium/Sidor/initiativ-seminar-2022-resilient-production.aspxProduktion – Initiativseminarium 2022<p>RunAn, conference hall, Chalmersplatsen 1, Kårhuset</p><p>​Årets fokus ligger på resilient produktion. Vi återkommer med program längre fram.</p>