Knowles: Meeting High-Reliability Requirements of Medical Implantable Devices
Virtual: https://events.vtools.ieee.org/m/429460Given 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
NFPA – 70B From Recommended Practice to Industry Standard
Room: Annex Room, 1st Floor, Consolidated Edison Co. of NY, 4 Irving Place, New York, New York, United States, 10003THE 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
Low Earth Orbit Satellite Communications
Virtual: https://events.vtools.ieee.org/m/444951Satellite 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
Improving Social Emotional Learning through AI-powered Tutoring
Room: 105, Bldg: Computer Science Building, 35 Olden St, Princeton, New Jersey, United States, 08544, Virtual: https://events.vtools.ieee.org/m/446229Emotion 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