In early 2023, cyberattacks experienced a significant rise due to unknown (zero-day) malware targeting Internet of Things (IoT) devices. To tackle the challenge of zero-day detection within a highly resource-constrained IoT environment, we propose a novel ...

This paper presents the hardware realization of a real-time blood pressure (BP) prediction model for wearable devices, utilizing long short-term memory (LSTM) deep neural networks (DNNs). The proposed system uses both electrocardiogram (ECG) and ...

Wearable devices that have low-power sensors, processors, and communication capabilities are gaining wide adoption in several health applications. The machine learning algorithms on these devices assume that data from all sensors are available during ...

Low-power edge devices equipped with Graphics Processing Units (GPUs) are a popular target platform for real-time scheduling of inference pipelines. Such application-architecture combinations are popular in Advanced Driver-assistance Systems for aiding in ...

Augmented Reality and Virtual Reality have emerged as the next frontier of intelligent image sensors and computer systems. In these systems, 3D die stacking stands out as a compelling solution, enabling in situ processing capability of the sensory data ...

Software-Implemented Hardware Fault Tolerance (SIHFT) is a modern approach for tackling random hardware faults of dependable systems employing solely software solutions. This work extends an automatic compiler-based SIHFT hardening tool called ASPIS, ...

We present ZoneTrace, a runtime monitoring tool for the Flash-friendly File System (F2FS) on Zoned Namespace (ZNS) Solid-state Drives (SSDs). ZNS SSD organizes its storage into zones of sequential write access. Due to ZNS SSD’s sequential write nature, ...

Cyber-physical systems (CPSs) need to respond to each change of each monitored object in time. The entire response process can be divided into two stages: the update stage and the control stage. Tasks in CPSs can thus be divided into two kinds: update ...

Sound techniques for mapping soft real-time applications to resources are indispensable for meeting the application deadlines and minimizing objectives such as energy consumption, particularly on heterogeneous MPSoC architectures. For applications with ...

Large volumes of on-chip and off-chip memory are required by contemporary applications. Emerging non-volatile memory technologies including STT-RAM, PCM, and ReRAM are becoming popular for on-chip and off-chip memories as a result of their desirable ...

In the digital era, the prevalence of low-quality images contrasts with the widespread use of high-definition displays, primarily due to low-resolution cameras and compression technologies. Image super-resolution (SR) techniques, particularly those ...

For real-time embedded systems, QoS (Quality of Service), fault tolerance, and energy budget constraint are among the primary design concerns. In this research, we investigate the problem of energy constrained standby-sparing for both periodic and ...

We describe an exciting new application domain for deep reinforcement learning (RL): droplet routing on digital microfluidic biochips (DMFBs). A DMFB consists of a two-dimensional electrode array, and it manipulates droplets of liquid to automatically ...

Deep neural network (DNN) implementations are typically characterized by huge datasets and concurrent computation, resulting in a demand for high memory bandwidth due to intensive data movement between processors and off-chip memory. Performing DNN ...

Over the past few decades, electronics have become commonplace in government, commercial, and social domains. These devices have developed rapidly, as seen in the prevalent use of system-on-chips rather than separate integrated circuits on a single ...

A new low-power test compression scheme, called Dcompress, is proposed for launch-on-capture transition fault testing by using a new seed encoding scheme, a new design for testability architecture, and a new low-power test application procedure. The new ...

Due to the technological advancements in the last few decades, several applications have emerged that demand more computing power and on-chip and off-chip memories. However, the scaling of memory technologies is not at par with computing throughput of ...

Internet of things (IoT) devices are popular in several high-impact applications such as mobile healthcare and digital agriculture. However, IoT devices have limited operating lifetime due to their small form factor. Harvesting energy from ambient sources ...

Mixed-critical systems consist of applications with different criticality. In these systems, different confidence levels of Worst-Case Execution Time (WCET) estimations are used. Dual criticality systems use a less pessimistic, but with lower level of ...