IEEE Design&Test Vol. 37, Issue 5
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Speaker:
Design and Management of Mobile Platforms: From Smartphones to Wearable Devices
- Location:
- Date: September/October
Highlights
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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 View full article (PDF). |
• | 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). |