The Ethereum Blockchain Game Theory Author: Dr. Nancy M Landreville Friday, May 10, 2024 at 7 PM - 9:30 PM - Virtual Co-sponsored by: Power Energy Speaker(s): Nancy Landreville, Virtual: https://events.vtools.ieee.org/m/419167

See Her, Be Her is Girl Scout Heart of New Jersey's annual career fair for Girl Scouts in grades K-12. Guests, most of whom are women, from all walks - and careers - of life are invited to share what they do, provide hands-on activities or artifacts related to their work, and be available for questions. The event is run open house style, allowing the Girl Scouts to move organically through the space and explore what catches their attention. Date: Saturday, May 11th Time: 9:00am-2:00pm Location: Stevens Institute of Technology, Hoboken, NJ, USA More information about: (https://www.gshnj.org/) (https://futurenetworks.ieee.org/) (https://stevens.edu/) Room: 4th Floor, Bldg: Howe Center, Stevens Institute of Technology, Hoboken, New York, United States

Abstract: The built environment has a data problem. The buildings, cities, water treatment plants, and other human-made systems produce more data now than ever before, opening new possibilities of using data to optimize operation, reduce energy consumption, predict performance, and identify faults. However, the complexity, heterogeneity, and high degree of churn of these systems makes it expensive and difficult to develop software for them. Models, control sequences, data analytics, and other software-based solutions must often be rewritten from scratch for each environment in which they will be deployed. The process of discovering and accessing data is further exacerbated by the lack of standardized structured representations of built environment systems. These challenges significantly impede the adoption of data-driven sustainable practices at societal scale. This talk will explore the use of semantic knowledge graphs to normalize descriptions of the built environment, specifically smart buildings, and reduce the cost of developing and deploying data-driven software in these settings. First, I will describe how ontologies can constrain knowledge graphs to produce useful abstractions of complex cyber-physical systems, as typified by the Brick ontology for smart buildings. Elements of this work are being adapted into new knowledge graph standards for buildings. Next, I will show how knowledge graphs enable novel programming models for "portable software" where programs can adapt their own operation to individual environments, based on queries against the knowledge graph. The talk will also show how these emerging use cases for knowledge graphs contrast with prevailing approaches towards knowledge graph maintenance and management and give rise to new methods for specifying and repairing knowledge graphs. Finally, I will show how these new technologies enable novel applications for smart buildings. Speaker(s): , Dr. Fierro Virtual: https://events.vtools.ieee.org/m/418393

[] Technology & Domains: High-risk and heavy motor industries, educational institutes, finance, and underground drilling industries can modernize their training, simulation, and advertisement practices by integrating AR/VR, metaverse, AI, gamification, IoT, Web3, and cloud technologies. AR/VR can overlay real-time data onto machinery, VR can offer realistic training scenarios, metaverse can create virtual training spaces, AI can tailor training programs, gamification can increase engagement, IoT can collect real-time data, Web3 can enable decentralized training platforms, and cloud can provide scalable infrastructure. These technologies lead to safer operations, more efficient workflows, and enhanced learning experiences. Co-sponsored by: IEEE North Jersey Section Speaker(s): Vishal Kumar Agenda: Registration for the event and refreshments/dinner are complimentary. Venue: Fairleigh Dickinson University, 1000 River Rd, Teaneck, NJ 07666 Muscarelle Building, Room MUS 206 For additional information about the venue and parking, please contact Dr. Hong Zhao [email protected] Room: Muscarelle MUS 206, Bldg: Electrical and Computer Engineering, Fairleigh Dickinson University, 1000 River Rd, Teaneck, New Jersey, United States, 07666 , Virtual: https://events.vtools.ieee.org/m/420152