IEEE Power Electronics Society Student Branch Chapter of Amrita School of Engineering, Bengaluru organized a seminar on, “Power System Scenario in India”, on August 5, 2017.
Amrita Vishwa Vidyapeetham and Andhra Pradesh Capital Region Development Authority (APCRDA), organized a workshop on ‘Urban Engineering, Construction Automation and Sustainability’ to discuss the challenges Indian cities face in terms of disaster resilience, transportation, green cover, sustainability, construction, and design. Dozens of experts in urban engineering and infrastructure assembled at a workshop. Dr. Sreevalsa Kolathyar, Assistant Professor (SG), Department of Civil Engineering, Amrita School of Engineering, Coimbatore Campus, said, "I would rate the disaster resilience of Indian cities as four out of ten. While India performs well in post-disaster management, we are strategically not as well prepared to face a disaster".
A team of experts led by Spyros Tsoukantas of the National Technical University of Athens and Sreevalsa Kolathyar of the Amrita Vishwa Vidyapeetham gave presentations on seismic designs for resilient pre-cast constructions, cities that could withstand disasters, high-rise office buildings, robotic shuttering technology, automatic concrete structure double wall, affordable housing and other topics. The workshop was moderated by CRDA Joint Director (HR) S. Sharmada and Bhulakshmi Satya Sai of the Amrita University.
IEEE Power Electronics Society Student Branch Chapter of Amrita School of Engineering, Bengaluru organized a seminar on, “Power System Scenario in India”, on August 5, 2017.
Medical Virtual Patient Simulator (MedSIM) brings a new approach to computer-aided medical teaching and learning by using dynamic simulation and interactive experiments. Medical Virtual Patient Simulator (MedSIM) is a cutting-edge E-learning innovation for medical and other health professionals. It consists of a framework that supports various patient cases, tailored by interdisciplinary medical teams. Each virtual patient case follows the critical path to be followed for a specific patient in a hospital. MedSIM takes the student on a journey that enables the student to interview, examine, conduct physical, systematic and ultimately reach a diagnosis based on the path that is chosen. After the interactions, the student must decide whether each responses is normal or abnormal and use the virtual findings to identify multiple probable diagnosis or reexamine the virtual patient with the goal to narrow down to the correct disease and then provide treatment. We present the architecture and functionality of the MedSIM platform and include a pilot study with medical students.
