Despite advancements in accessibility for visually impaired individuals in higher education, non-textbook content such as diagrams remains a significant barrier. This presentation explores the development of an accessible system that leverages machine learning to classify and extract diagram features and topology. Attendees will learn about the key steps in diagram processing and the tools created to support dataset generation for training ML <a href="http://models.Snacks" target="_blank" title="models.Snacks">models.Snacks and refreshments will be <a href="http://provided.Agenda:" target="_blank" title="provided.Agenda:">provided.Agenda: 3:30 pm - 4:15 pm - Ajitesh Parihar - Diagram Annotation and Classification4:15 pm - 4:30 pm - Coffee & discussionRoom: 301, Bldg: HS, 1000 K. L. O. Rd, Kelowna, British Columbia, Canada, V1Y 4X8, Virtual: https://events.vtools.ieee.org/m/479830

This presentation explores how gamification can enhance cybersecurity education by addressing challenges like outdated teaching methods and a shortage of qualified instructors. It reviews current literature and showcases a real-world case study of a gamified cryptography tool, highlighting how hands-on, engaging learning experiences can better prepare students for the evolving cyber threat <a href="http://landscape.Snacks" target="_blank" title="landscape.Snacks">landscape.Snacks and refreshments will be <a href="http://provided.Agenda:" target="_blank" title="provided.Agenda:">provided.Agenda: 4:30 pm - 5:15 pm - Dylan Huitema - Case Study on Gamification for Cybersecurity Education5:15 pm - 5:30 pm - Coffee & DiscussionRoom: 301, Bldg: HS, 1000 K. L. O. Rd, Kelowna, British Columbia, Canada, V1Y 4X8, Virtual: https://events.vtools.ieee.org/m/479819

This research aims to implement a data warehouse (DW) to manage data for a YOLO (You Only Look Once) model, which identifies objects in images. It does this by integrating advanced data processing pipelines. Data are also stored and easily accessible for future use, including comparing current and historical data to understand growth or declining patterns. In addition, the design is used to optimize resource usage. It also scales easily, not affecting other parts of the data warehouse when adding dimension tables or other fields to the fact table. DW performance and estimations for growing workloads are also explored in this <a href="http://presentation.Agenda:" target="_blank" title="presentation.Agenda:">presentation.Agenda: 5:30 pm - 6:15 pm - Kristina Cormier - Data Warehouse Design for Multiple Source Forest Inventory Management and Image Processing Workshop6:15 pm - 6:30 pm - Coffee & discussionsRoom: 301, Bldg: HS, 1000 K.L.O. Rd, Kelowna, British Columbia, Canada, V1Y 4X8, Virtual: https://events.vtools.ieee.org/m/482421

Various models and standards have been developed and are used throughout the world to assess the capability of organizations in various domains, including development, services, security and safety. While such models and standards have mostly been used to assess compliance and obtain a certification, they can also be used to improve and to deploy processes that exploit the opportunities an organization has of meeting its business objectives and to prevent the potential problems to which it is exposed from occurring and degenerating into <a href="http://crises.Data" target="_blank" title="crises.Data">crises.Data from a set of 40 comprehensive assessments conducted over 10 years, and spanning Europe, North America and South America, was compiled and subsequently used to better understand the factors at stake in organizations developing products and services relying on Information Technology. Each appraisal was performed in a separate organization. In particular, some anomalies were detected that warranted more in-depth analysis. Even though correlation was observed between mature processes and the quality of resulting products and services, it was not true for all cases. Good quality products and services sometimes originated from organizations having relatively low maturity processes whereas in other cases, organizations characterized by more mature processes generated disappointing results. Other models were subsequently used in the emergency management, resources management and information security fields to verify the validity of obtained <a href="http://results.The" target="_blank" title="results.The">results.The critical threshold associated with the likelihood of experiencing problems was found to be approximately 40%. A project or an organization cannot sustain such a likelihood of experiencing problems for any significant duration relative to the planned or current activities. A likelihood of problems equal to 50% would correspond to a project or an organization operating at random, and if such were the case, it would be wishful thinking to expect any successful outcome over a significant period of <a href="http://time.Speaker(s):" target="_blank" title="time.Speaker(s):">time.Speaker(s): Mr. Louis A. Poulin, Room: EV003-309, Bldg: Electrical & Computer Engineering Department, Concordia University, 1515 Ste. Catherine West, MONTREAL, Quebec, Canada, H3G 1M8

This research aims to investigate the performance of a data pipeline system implemented using an extract, transform, load (ETL) tool under increased data volume. The system utilizes a data warehouse (DW) for an XGBoost machine learning model to forecast closing stock prices. The data source comes from the Financial Modelling Prep (FMP) API, which provides large amounts of real-time and historical data from the stock <a href="http://market.Agenda:" target="_blank" title="market.Agenda:">market.Agenda: 6:30 pm - 7:15 pm - Joshua Padron-Uy7:15 pm - 7:30 pm - Coffee & discussionRoom: 301, Bldg: HS, 1000 K.L.O. Rd, Kelowna, British Columbia, Canada, V1Y 4X8, Virtual: https://events.vtools.ieee.org/m/482426

Annual IEEE Montreal's Life Members gathering and supper <a href="http://event.Bldg:" target="_blank" title="event.Bldg:">event.Bldg: 1434 rue Crescent, Wienstein & Gavino's Restaurant , Montreal, Quebec, Canada, H3G 2B6

1. Artificial intelligence (AI) is transforming the landscape of healthcare, particularly in the field of robotic surgery. This presentation explores the integration of AI in surgical robots, focusing on its potential to enhance precision, efficiency, and patient outcomes. We will examine how AI-driven technologies improve surgical planning, assist in real-time decision-making, and enhance the capabilities of robotic systems in performing complex procedures. From AI-assisted image analysis and diagnostics to autonomous decision-making during surgery, this session will highlight the various ways in which AI is revolutionizing the surgical process, making procedures more accurate and minimally <a href="http://invasive.Moreover" target="_blank" title="invasive.Moreover">invasive.Moreover, the presentation will address the benefits and challenges associated with the adoption of AI in surgical robotics. These include improved surgical outcomes, reduced recovery times, and greater accessibility to advanced surgeries. Ethical considerations, data privacy, and the need for regulatory frameworks will also be discussed to ensure the responsible implementation of AI in surgical settings. Finally, we will look ahead to the future of AI-powered surgical robots, examining emerging trends and innovations that promise to further transform the field and enhance the capabilities of healthcare providers <a href="http://worldwide.Virtual:" target="_blank" title="worldwide.Virtual:">worldwide.Virtual: https://events.vtools.ieee.org/m/481641

Join us for a free webinar on computer simulation of Hydrogen Energy Systems. Discover how hydrogen can revolutionize our energy generation and delivery, especially within multi-energy systems. The RTDS Simulator facilitates real-time simulation of these systems, including hydrogen components, enabling hardware-in-the-loop (HIL) testing of associated control systems. Don't miss this opportunity to explore the future of energy!Speaker(s): MaxAgenda: Housekeeping announcements· Introduction of the speaker· Webinar on Clean Multi Energy Systems· Questions & AnswersVirtual: https://events.vtools.ieee.org/m/480688

You are cordially invited to our upcoming bi-monthly section <a href="http://meeting.Agenda" target="_blank" title="meeting.Agenda">meeting.Agenda Highlights:-Review of recent chapter events, workshops, and <a href="http://activities.-Planning" target="_blank" title="activities.-Planning">activities.-Planning for future events and collaborative <a href="http://initiatives.-Discussion" target="_blank" title="initiatives.-Discussion">initiatives.-Discussion of the proposed section <a href="http://bylaws.Your" target="_blank" title="bylaws.Your">bylaws.Your insights and active participation are crucial as we continue to drive our section forward. Please confirm your attendance by accepting the Teams <a href="http://invitation.Co-sponsored" target="_blank" title="invitation.Co-sponsored">invitation.Co-sponsored by: Ahmed Hamdi SakrVirtual: https://events.vtools.ieee.org/m/481271

Vehicle platooning involves a group of vehicles driving in close coordination, maintaining short inter-vehicle distances to improve road capacity, reduce fuel consumption for following vehicles, and enhance overall driving safety. Achieving this coordination requires continuous exchange and processing of environmental sensor data. To further enhance control and service performance without overloading individual vehicles, maintaining digital twins (DTs) of platooning vehicles has emerged as a promising approach. A platoon digital twin (PDT), which integrates the DTs of all platoon members, can serve as a unified interface for coordinated traffic management. However, the effectiveness of PDT-based applications relies heavily on the quality of the PDT, which in turn depends on timely and accurate synchronization with the physical platoon that requires robust communication and computation resources. In this talk, we present our recent work on joint communication and computation resource allocation to support high-quality PDTs under highly dynamic vehicle mobility. We model the problem as an M-th order Markov Decision Process (MDP) to better capture the temporal dynamics of the system. Our solution leverages a multi-agent Deep Deterministic Policy Gradient (DDPG) framework, enhanced with temporal feature extraction, to adapt to rapidly changing network conditions and improve resource allocation <a href="http://decisions.Speaker(s):" target="_blank" title="decisions.Speaker(s):">decisions.Speaker(s): Dongmei Zhao, Virtual: https://events.vtools.ieee.org/m/481625

Titre:Analog Front-End Chip Implementation for Wearable ApplicationsConférencier:Surachoke Thanapitak , Professor, Electrical Engineering Department, Mahidol, Thailand UniversityLieu:ÉTS, Pavillon A, Local A-2473 , 1100 Rue Notre-Dame Ouest, MontréalDate et heure:vendredi le 25 avril 2025 de 10:30 à 11:30Résumé:This talk presents a low-power analog front-end (AFE) chip for wearable ECG applications, featuring a low-noise amplifier (LNA) and nano-power OTA-C filter. The LNA offers high CMRR and low input-referred noise for accurate signal acquisition, while the filter effectively removes baseline drift and noise with minimal power. Fabricated in standard CMOS, the design achieves µV noise level and <1 µW power per channel, enabling high-fidelity ECG monitoring in energy-constrained <a href="http://wearables.Note" target="_blank" title="wearables.Note">wearables.Note biographique:Surachoke Thanapitak (Member, IEEE) graduated with Electronic Engineering from King Mongkut’s Institute of Technology Ladkrabang (KMITL), Thailand, in 2004. He was awarded a Royal Thai Government scholarship and obtained an MSc in Analogue and Digital IC Design (2007) and a PhD in Electrical Engineering (2012) from Imperial College London, United Kingdom. In 2012, he joined the Department of Electrical Engineering at Mahidol University as a lecturer. Currently, he is an Associate Professor in Electronics. He serves as a reviewer for the IEEE Transactions on Circuits and Systems I & II, IEEE Transactions on Biomedical Circuits and Systems, IEEE Transactions on VLSI Systems, and the IEEE Sensors Journal. In 2018, he was a Research Fellow at National Tsing Hua University, Hsinchu, Taiwan. Additionally, he served as a Tutorial Co-Chair for the 2019 IEEE Asia-Pacific Conference on Circuits and <a href="http://Systems.Co-sponsored" target="_blank" title="Systems.Co-sponsored">Systems.Co-sponsored by: ReSMiQ (Regroupement stratégique en microsystèmes du Québec)Speaker(s): Surachoke ThanapitakVirtual: https://events.vtools.ieee.org/m/482412

Data center, compute, and AI applications continue to demand higher bandwidth from electrical interconnects. The volume of short-reach links (less than a few cm) has exploded to facilitate high-bandwidth data movement between compute engines and memory in the AI era. This massive growth will continue as the industry moves towards highly-parallelized die-to-die interfaces to support chiplet-based architectures. However, power efficiency in these links is of paramount importance to maintain reasonable power levels within a compute drawer. This talk will focus on trends and advancements in power-efficient short reach links that aim to maximize the shoreline bandwidth density. Multi-disciplinary approaches involving circuit innovations, architectural advancements, data signaling techniques, and packaging technologies are required to deliver linear bandwidth densities above 1 Tbps/mm at power efficiencies below 500 fJ/<a href="http://bit.Speaker(s):" target="_blank" title="bit.Speaker(s):">bit.Speaker(s): Tod Dickson, Virtual: https://events.vtools.ieee.org/m/481111