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A closer look at spatiotemporal convolutions for action recognition
In this paper we discuss several forms of spatiotemporal convolutions for video analysis and
study their effects on action recognition. Our motivation stems from the observation that 2D …
study their effects on action recognition. Our motivation stems from the observation that 2D …
Dependable scheduling for real-time workflows on cyber–physical cloud systems
Cyber-physical cloud systems (CPCS) are integrations of cyber-physical systems (CPS) and
cloud computing infrastructures. Integrating CPS into cloud computing infrastructures could …
cloud computing infrastructures. Integrating CPS into cloud computing infrastructures could …
Resource management for improving soft-error and lifetime reliability of real-time MPSoCs
Multiprocessor system-on-chip (MPSoC) has been widely used in many real-time embedded
systems where both soft-error reliability (SER) and lifetime reliability (LTR) are key concerns …
systems where both soft-error reliability (SER) and lifetime reliability (LTR) are key concerns …
Map** techniques in multicore processors: current and future trends
Multicore systems are in demand due to their high performance thus making application
map** an important research area in this field. Breaking an application into multiple …
map** an important research area in this field. Breaking an application into multiple …
Improving availability of multicore real-time systems suffering both permanent and transient faults
CMOS scaling has greatly increased concerns for both lifetime reliability due to permanent
faults and soft-error reliability due to transient faults. Most existing works only focus on one of …
faults and soft-error reliability due to transient faults. Most existing works only focus on one of …
DRHEFT: Deadline-constrained reliability-aware HEFT algorithm for real-time heterogeneous MPSoC systems
Heterogeneous multiprocessor system-on-chips (MPSoCs) are suitable platforms for real-
time embedded applications that require powerful parallel processing capability as well as …
time embedded applications that require powerful parallel processing capability as well as …
Cooperative-competitive task allocation in edge computing for delay-sensitive social sensing
With the ever-increasing data processing capabilities of edge computing devices and the
growing acceptance of running social sensing applications on such cloud-edge systems …
growing acceptance of running social sensing applications on such cloud-edge systems …
A real-time and non-cooperative task allocation framework for social sensing applications in edge computing systems
Social sensing has emerged as a new sensing application paradigm where measurements
about the physical world are collected from humans or devices on their behalf. A key …
about the physical world are collected from humans or devices on their behalf. A key …
Online energy-efficient scheduling of DAG tasks on heterogeneous embedded platforms
Heterogeneous distributed computing systems are becoming more and more common to
process practical applications in many embedded systems, where energy efficiency is very …
process practical applications in many embedded systems, where energy efficiency is very …
Improving reliability and sustainability of hazard-aware cyber-physical systems
The network system deployed in hazardous environments is a key component of hazard-
aware cyber-physical systems (CPSs) and its performance highly depends on surrounding …
aware cyber-physical systems (CPSs) and its performance highly depends on surrounding …