KRover: A Symbolic Execution Engine for Dynamic Kernel Analysis
Operating system (OS) kernels are critical components of modern computing systems, managing hardware resources and providing essential services to applications. However, due to their complexity, kernels are often vulnerable to various security issues like bugs, vulnerabilities, and malicious attacks. The kernel’s reliability and security are of utmost importance, as any breach could compromise the entire system.
AI-Powered Crowd Management System for Optimised Flow and Enhanced User Experience
Managing crowds and optimising the flow of people in capacity-constrained environments, such as theme parks, shopping malls, convention centers, and sports arenas, can be challenging. Crowds lead to congestion, long queues, and poor user experiences if not managed effectively. Traditional crowd control systems often lack the flexibility to respond to real-time changes, making it difficult for operators to optimise the use of space and resources.
Breathing Mode Monitoring Using In-Ear Microphones
Breathing mode, whether oral or nasal, holds significance in both performance sports and sleep quality. Nasal breathing is favored during endurance activities like distance running due to its efficiency in air filtration, humidification, and warming, which enhances oxygen exchange and reduces respiratory discomfort. Moreover, nasal breathing encourages better pacing control and endurance through diaphragmatic breathing. While oral breathing may be advantageous during high-intensity bursts of activity, the choice between nasal and oral breathing depends on individual factors such as fitness level and respiratory health. Similarly, in sleep, nasal breathing plays a crucial role in maintaining optimal airflow, promoting efficient oxygen exchange, and reducing the risk of respiratory issues like snoring and sleep apnea. Conversely, chronic oral breathing during sleep can lead to various problems, including disruptions in sleep patterns and increased risk of respiratory infections and dental issues. Therefore, having the ability to monitor and effect change in the breathing mode, whether oral or nasal, can contribute to overall respiratory health and well-being of individuals engaging in sport or health and wellness activities.
Wi-Fi based Indoor Positioning System
Indoor location tracking is a valuable capability for various applications, but existing solutions often require costly infrastructure investments or have limited compatibility with specific devices. There is a need for an indoor location system that works seamlessly with existing Wi-Fi infrastructure, without requiring additional costs or device-specific limitations.
Wearable-Based Consumer Activity Tracking for Eating & Retail
Researchers in healthcare and retail domains face challenges in capturing and analyzing personalized lifestyle data. Existing approaches require manual effort or extensive infrastructure deployment, resulting in inefficiency and privacy concerns. There is a need for a technology that reduces human effort and privacy concerns while capturing and analyzing personalized lifestyle data.
An Intelligent (Machine Learning) AI Platform for Health and Fitness
Obesity rates have tripled since 1975 and are projected to reach 15% of the global and Singaporean population by 2024. Existing health and fitness apps have limitations, failing to make a long-term difference for users. Customers often opt out due to data input requirements, lack of personalization, and the non-motivating nature of the apps.