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GPU-free specific emitter identification using signal feature embedded broad learning
Emerging wireless networks may suffer severe security threats due to the ubiquitous access
of massive wireless devices. Specific emitter identification (SEI) is considered as one of the …
of massive wireless devices. Specific emitter identification (SEI) is considered as one of the …
Intelligent energy-efficient scheduling with ant colony techniques for heterogeneous edge computing
Energy efficiency is a significant issue in heterogeneous edge computing systems for a large
number of latency-sensitive applications. This article presents an efficient technique to …
number of latency-sensitive applications. This article presents an efficient technique to …
Energy efficient mixed task handling on real-time embedded systems using FreeRTOS
With the increased use of embedded devices in Industrial electronics, like relays, battery life
has gained more and more attention. Modern processors can use Dynamic Voltage …
has gained more and more attention. Modern processors can use Dynamic Voltage …
A calculation model of charge and discharge capacity of electric vehicle cluster based on trip chain
The rapid response characteristics and high-speed growth of electric vehicles (EVs)
demonstrate its potential to provide auxiliary frequency regulation services for independent …
demonstrate its potential to provide auxiliary frequency regulation services for independent …
Optimizing energy in non-preemptive mixed-criticality scheduling by exploiting probabilistic information
The strict requirements on the timing correctness biased the modeling and analysis of real-
time systems toward the worst-case performances. Such focus on the worst-case, however …
time systems toward the worst-case performances. Such focus on the worst-case, however …
Energy and cost aware workflow scheduling in clouds with deadline constraint
Cloud computing is a promising platform for executing scientific workflow applications.
Commonly, the scientific workflow applications are complex in size and computation …
Commonly, the scientific workflow applications are complex in size and computation …
F2VD: Fluid rates to virtual deadlines for precise mixed-criticality scheduling on a varying-speed processor
Increasingly complex and integrated systems design has led to more timing uncertainty,
which may result in pessimism in time-sensitive system design and analysis. To mitigate …
which may result in pessimism in time-sensitive system design and analysis. To mitigate …
A general and scalable method for optimizing real-time systems with continuous variables
In the optimization of real-time systems, designers often face a challenging problem where
the schedulability conditions are non-convex, non-continuous, or lack an analytical form to …
the schedulability conditions are non-convex, non-continuous, or lack an analytical form to …
Extended Discrete-State Event-Driven Hardware-in-the-Loop Simulation for Power Electronic Systems Based on Virtual-Time-Ratio Regulation
This article proposes an extended discrete-state event-driven (EDSED) controller hardware-
in-the-loop (CHIL) method for power electronic systems, employing virtual-time-ratio (VTR) …
in-the-loop (CHIL) method for power electronic systems, employing virtual-time-ratio (VTR) …
CPU frequency scheduling of real-time applications on embedded devices with temporal encoding-based deep reinforcement learning
Small devices are frequently used in IoT and smart-city applications to perform periodic
dedicated tasks with soft deadlines. This work focuses on develo** methods to derive …
dedicated tasks with soft deadlines. This work focuses on develo** methods to derive …