Page 87 - tech fest 2025 אשדוד חוברת תקצירים

Karting Based on Pneumatic Propulsion
ME-A-05
Nave Nagar; navenagar50@gmail.com Moshe Isakov; moshe6812@gmail.com
Advisors: Dr. Shayke Bilu1, Dr. Amir Zohar1 1SCE - Shamoon College of Engineering, Ashdod
A conventional karting vehicle employs a gasoline engine with rudimentary drivetrain architecture. Heightened environmental consciousness has precipitated a transition toward electric propulsion systems and sustainable alternatives. Combustion engines emit deleterious pollutants, notably carbon dioxide and nitrogen oxides, that pose significant health risks, particularly to pediatric populations. This project introduces a pneumatic propulsion system for children’s recreational vehicles designed to mitigate health hazards while optimizing energy efficiency. Our methodological framework encompasses multiple phases: component selection with comparative analysis of alternatives; quantitative calculations aligned with system parameters; and comprehensive evaluation of empirical data to ensure structural integrity and operational safety. The resultant design prioritizes both environmental sustainability and user well-being without compromising performance metrics.
Keywords: environmental pollution, go kart, pneumatic propulsion, pollutants, propulsion system
Drone-Mounted Sensor System for Locating Missing Persons
ME-A-06
Jeremy Benita; jereb97@gmail.com Yakir Madar; yakir.m555@gmail.com
Advisors: Dr. Shayke Bilu1, Mr. Yogev Attias1 1SCE - Shamoon College of Engineering, Ashdod
This project presents an advanced unmanned aerial vehicle system for real-time human detection in search and rescue operations. Our solution addresses critical limitations encountered during emergency responses to disappearances in natural disasters, accidents, and remote locations- including nocturnal conditions, challenging topography, and restricted visibility. Technical architecture integrates dual-modality sensing-a thermal imaging apparatus capable of detecting human thermal signatures and an acoustic acquisition system with sophisticated noise-cancellation algorithms for distress vocalization identification. Data transmission occurs via low latency streaming of protocols to a purpose-built graphical user interface featuring automated alert mechanisms and visual analytics. Components are encapsulated within a ruggedized, environmentally sealed housing, meeting IP67 standards. Empirical evaluation demonstrates significant enhancements in search efficiency metrics, reduction in personnel resource requirements, and improved probability of successful subject recovery in time-critical scenarios.
Keywords: drone, human voice detection, real-time search and rescue, thermal camera
Book of Abstracts | 2025
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