Chair for Embedded Systems

IEEE Design&Test Vol. 37, Issue 5

  • Speaker:
    Design and Management of Mobile Platforms: From Smartphones to Wearable Devices
  • Location:

    IEEE Explorer

  • Date: September/October
Design & Test

Magazine
Volume 37, Issue 5 (September/October)

Highlights
Special Issue on "Design and Management of Mobile Platforms: From Smartphones to Wearable Devices"
General Interest Paper by Charalambos Konstantinou and Michail Maniatakos "A Data-Based Detection Method Against False Data Injection Attacks"
General Interest Paper by  Jun Wang and Jiaquan Gao "Parallelizing GPGPU-Sim for Faster Simulation with High Fidelity"
General Interest Paper by Jeng-Hau Lin, Xun Jiao, Mulong Luo, Zhuowen Tu, and Rajesh K. Gupta  "Vulnerability of Hardware Neural Networks to Dynamic Operation Point Variations"
General Interest Paper by Grégoire Surrel, Tomás Teijeiro, Matthieu Chevrier, Amir Aminifar, and David Atienza  "Event-Triggered Sensing for High-Quality and Low-Power Cardiovascular Monitoring Systems"

September/October 2020 Content


From the EIC
From Smartphones to Wearable Devices
  View full article (PDF).

Special Issue on Design and Management of Mobile Platforms: From Smartphones to Wearable Devices
Guest Editors’ Introduction: Design and Management of Mobile Platforms: From Smartphones to Wearable Devices
  View full article (PDF).
A Survey on Energy Management for Mobile and IoT Devices
  Mobile and IoT devices have proliferated our daily lives. However, these miniaturized computing systems should be highly energy-efficient due to their ultrasmall form factor. read more
View full article (PDF).
Dynamic Energy and Thermal Management of Multi-core Mobile Platforms: A Survey
  Multicore mobile processors have proliferated due to their efficiency in meeting the stringent performance requirement within a limited power budget. read more.
View full article (PDF).
Coordinated Self-Tuning Thermal Management Controller for Mobile Devices
  Thermal management is a critical factor in determining the performance limits of mobile devices due to their limited cooling capabilities. read more.
View full article (PDF).
Intelligent Chargers Will Make Mobile Devices Live Longer
  Battery aging is becoming a major concern in mobile devices such as laptops or smartphones and often results in premature device replacement. read more
View full article (PDF).
Neural Network Inference on Mobile SoCs
  Mobile devices are increasingly being used to run machine-learning-based applications. read more
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Self-Aware Machine Learning for Multimodal Workload Monitoring during Manual Labor on Edge Wearable Sensors
  This article discusses self-awareness in wearable edge devices to enable real-time and long-term health monitoring. read more
View full article (PDF).

General Interest Papers
A Data-Based Detection Method Against False Data Injection Attacks
  CPSs are vulnerable to process-aware attacks that aim to disrupt the proper functioning or hamper performance/efficiency/stability/safety of the physical systems/processes of the CPSs. read more
View full article (PDF).
Vulnerability of Hardware Neural Networks to Dynamic Operation Point Variations
  This article studies the impacts of physical variations on neural networks. read more
View full article (PDF).
Event-Triggered Sensing for High-Quality and Low-Power Cardiovascular Monitoring Systems
  Non-Nyquist sampling-based event-triggered systems can enable adaptive sampling of IoT nodes resulting in large energy savings. read more
View full article (PDF).

Departments
The Last Byte: Transitional Phones
  View full article (PDF).