An Efficient Approach for Improving Message Acceptance Rate and Link Utilization in Time-Sensitive Networking
Time-sensitive networking (TSN) is an emerging technology widely used in real-time systems for its high bandwidth and deterministic timing properties. To ensure the deterministic transmission of Time-triggered (TT) messages, a guard band mechanism is ...
A Comprehensive Study of Systems Challenges in Visual Simultaneous Localization and Mapping Systems
Visual SLAM systems are concurrent, performance-critical systems that respond to real-time environmental conditions and are frequently deployed on resource-constrained hardware. Previous work has identified three interconnected systems challenges to ...
Trust Based Active Game Data Collection Scheme in Smart Cities
The concept of a smart city is to equip sensors to various objects in urban life to monitor areas and collect sensing data, and make wise decisions based on the collected data. However, some malicious sensor devices may interrupt and interfere with data ...
Improving Robustness in IoT Malware Detection through Execution Order Analysis
The rapid expansion of the Internet of Things (IoT) has significantly increased the prevalence of malware targeting IoT devices. Although machine learning models offer promising solutions for automatic malware detection, they are increasingly vulnerable ...
ZIP-CNN: Design Space Exploration for CNN Implementation within a MCU
- Thomas Garbay,
- Khalil Hachicha,
- Petr Dobias,
- Andrea Pinna,
- Karim Hocine,
- Wilfried Dron,
- Pedro Lusich,
- Imane Khalis,
- Bertrand Granado
Embedded systems based on Microcontroller Units (MCUs) often gather significant quantities of data and solve various issues. Convolutional Neural Networks (CNNs) have proven their effectiveness in solving computer vision and natural language processing ...