Region 1

Given the life-critical functions performed by many medial implantable devices, and the invasive procedure required to implant medical equipment properly in the human body, it is imperative that all medical devices are designed to function reliably throughout their entire lifetime. But this can be challenging as medical implantable devices are made up of many individual parts, including a variety of electronic components such as multi-layer ceramic capacitors (MLCCs). This means MLCC manufacturers today are not only tasked with responding to the demand for product miniaturization, they also need to be sure their MLCCs can meet the high-reliability expectations for these life-critical applications. In this white paper, we dive more into how to overcome the challenges associated with ensuring the reliability of electronic components designed for medical devices by covering the following topics: - Design considerations for using MLCCs in medical implantable devices - How to work with suppliers to properly test and screen MLCCs for high reliability - How Knowles Precision Devices designs, tests, and continues to innovate on our MLCCs to meet all the key requirements of the medical device industry, including high reliability Speaker(s): Greg Alton Virtual: https://events.vtools.ieee.org/m/429460

The Vermont transportation sector has been identified as one of the prime targets for electrification in the next decade to meet statewide carbon reduction goals. The integration of electric vehicles poses a number of challenges, however, including the logistics of deploying charging infrastructure and emerging electric power grid constraints. Jointly hosted by UVM's center on energy and autonomy, (https://www.uvm.edu/cems/create), and the local (https://site.ieee.org/gms-pes/), this event will feature short talks about these issues from utility representatives, researchers, and transportation experts. Following these talks, we will convene a panel discussion to dialogue about common pain-points and the path forward. Confirmed participating organizations include - (https://www.burlingtonelectric.com/) - (https://www.washingtonelectric.coop/) - (https://www.energyhub.com/) - (https://vtrans.vermont.gov/) - (https://ridegmt.com/) - (https://www.velco.com/) - (https://www.uvm.edu/cems/create) - and more! Dinner: Pizza and drinks will be served at this event, which is free to attend. Please do register in advance. Location: This event will be hosted at the new (https://www.uvm.edu/ruralpartnerships/contact-us), located at the center of UVM's campus. Patrick Leahy Building 102. Parking: https://www.uvm.edu/map/. Click on the menu on the left, expand the “parking” section and go to “visitor parking”, which shows visitor parking options. The Jeffords upper and/or lower lots are recommended, but the visitor parking in Gutterson is also a good option (10 minute walk to the Leahy Center). Parking lots require use of the “park mobile” app. Co-sponsored by: Green Mountain Section, CREATE, UVM Agenda: - 5:00 - 5:20 PM: Dinner and mingling. - 5:20 - 6:10 PM: Lightning talks from participants. - 6:10 - 6:30+ PM: Moderated panel discussion. Room: 102, Bldg: Patrick Leahy Building, 105 Carrigan Drive, Burlington, Vermont, United States, 05405

THE PRESENTATION: NFPA-70B has transitioned from a Recommended Practice to the Standard for Electrical Equipment Maintenance. This talk will explore how these changes will affect facility and plant operation, as well as explain the navigation of the standard to assess equipment condition, determine maintenance intervals, and develop equipment maintenance plans to improve plant reliability, and personnel safety. Co-sponsored by: New York Section and Tappan Zee Subsection Speaker(s): Jim Simko, Agenda: 5:00 PM - Refreshments & Networking 5:30 PM - Program begins 6:45 PM - Questions & Answers 7:00 PM - Closing Remarks Room: Annex Room, 1st Floor, Consolidated Edison Co. of NY, 4 Irving Place, New York, New York, United States, 10003

This event is conducted as part of PES DEI initiative and will include discussions on fostering innovation and inclusivity. The seminar aims to provide insights from speakers regarding their educational and professional paths, emphasizing the critical role of innovation and diversity in engineering. With extensive experience in the power industry, the speaker will share their journey through academia, research, and industry, highlighting how diverse teams can drive groundbreaking solutions to complex problems. Additionally, the speakers will discuss the grid transition challenges, machine learning applications in the power industry, and underscore the importance of diversity in this evolving environment. Speaker(s): Dr. Maigha, Dr. Emre Agenda: 07:00 PM Event starts Bldg: Whitman Hall 216, 2350 NY-110, Farmingdale, NY 11735, Farmingdale State college, New York, United States, 11735, Virtual: https://events.vtools.ieee.org/m/447486

Satellite Communications can and in some instances does provide ubiquitous internet access to all regions of the world. Traditionally most satellite communication used Geostationary Earth Orbits (GEO) but recently the interest and investments have been in Medium Earth Orbit (MEO) and Low Earth Orbit (LEO) systems. We will discuss the difference between operating in each orbital category with emphasis on the LEO Satellite Systems. This lecture is concept based and therefore informative to attendees working in the engineering field as well as those just interested in learning more about Low Earth Orbit satellite technology. Speaker(s): Howard Hausman Agenda: 7:00 PM Networking and Announcements 7:20 PM Presentation Virtual: https://events.vtools.ieee.org/m/444951

Emotion has a substantial influence on learning, attention, memory, and problem solving. This talk describes artificial intelligence tools that detect emotion, provide one-on-one assistance during online learning, and adjust their responses to each student's learning level. Problems are modulated and responses generated based on motivating students and advancing learning. Inferences about student knowledge are derived from predictive learning models based on students' faces, gestures, and emotions to make decisions about the next best intervention (e.g., provide video, reduce difficulty of math problem). These tutoring systems can: - Perform continuous assessment and they can sleuth the students' responses to address student performance and emotion in real-time. - Create computer-generated synthetic partners and personalized video content. For example, the tools will shortly be able to generate special computational characters. These generated characters may perhaps work more efficiently than do human tutors. - Create avatars to answer student queries, provide explanations, assist in problem solving and teach about social awareness and relationship skills. Cross-modal generative AI will provide ChatGPT-4 responses including hints, explanations, data-driven insights and recommendations. Understanding the role that emotions play in learning and teaching has supported the design and deployment of more effective online tools and learning experiences. This talk will identify the differential impact of AI tutors on student achievement, self-efficacy, and social emotional learning. Speaker(s): , Bev Woolf Room: 105, Bldg: Computer Science Building, 35 Olden St, Princeton, New Jersey, United States, 08544, Virtual: https://events.vtools.ieee.org/m/446229