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IEEE Design&Test Vol. 36, Issue 5

IEEE Design&Test Vol. 36, Issue 5
Speaker:
Smart and Autonomous Systems
Location:

IEEE Explorer

Date: September/October
Design & Test

Magazine
Volume 36, Issue 5 (September/October)

Highlights
Special Issue on "Smart and Autonomous Systems for Sustainability"
General Interest by Jeff Jun Zhang ; Kanad Basu ; Siddharth Garg "Fault-Tolerant Systolic Array Based Accelerators for Deep Neural Network Execution"
General Interest Paper by Hari Mohan Gaur ; Ashutosh Kumar Singh ; Umesh Ghanekar "Design of Reversible Arithmetic Logic Unit with Built-In Testability"

September/October 2019 Content


From the EIC
Smart and Autonomous Systems
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Special Issue on Smart and Autonomous Systems for Sustainability
Guest Editors’ Introduction: Smart and Autonomous Systems for Sustainability
  We are pleased to present the special issue on “Smart and Autonomous Systems for Sustainability: Sustainable Computing and Computing for Sustainability.” We are witnessing the rise of the data-driven science paradigm, in which massive amounts of streaming data—much of it collected as a side-effect of ordinary human activity—can be analyzed to make sense and be able to make intelligent decisions for sustainability over multiple time scales (e.g., short-term versus long-term planning). read more.
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Anomaly Detection and Health-Status Analysis in a Core Router System
  Rapid error discovery is crucial for timely correction mechanisms and reliable router systems. Aiming to achieve a high degree of reliability, this article presents a machine-learning framework for analyzing router time series to evaluate the health status and detect anomalies while accounting for the important temporal characteristics of complex communication systems. read more.
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PortLoc: A Portable Data-Driven Indoor Localization Framework for Smartphones
  Editor’s note: Fingerprinting is essential for indoor navigation and localization due to its low cost, accuracy, and resiliency to multipath effects in constrained environments. This article aims to overcome the challenge of device heterogeneity and describes a portable lightweight fingerprinting framework while improving localization accuracy. read more.
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OpenHealth: Open-Source Platform for Wearable Health Monitoring
  Editor’s note: This article presents an open-source platform for wearable health monitoring. It aims to design a standard set of hardware/software and wearable devices that can enable autonomous collection of clinically relevant data. It provides reference implementations of human activity and gesture recognition applications within this platform. read more.
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Autonomous Design Space Exploration of Computing Systems for Sustainability: Opportunities and Challenges
  Editor’s note: Data-driven design methods are a promising way to design computing systems at various scales. This article presents a survey regarding data-driven techniques to design sustainable computing systems. read more.
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General Interest Papers
Fault-Tolerant Systolic Array Based Accelerators for Deep Neural Network Execution
  Editor’s note: Systolic array is embracing its renaissance after being accepted by Google TPU as the core computing architecture of machine learning acceleration. In this article, the authors propose two strategies to enhance fault tolerance of systolic array based deep neural network accelerators. read more
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Design of Reversible Arithmetic Logic Unit with Built-In Testability
  Editor’s note: This article presents an advanced reversible arithmetic logic unit with built-in testability for single bit-flip errors read more
View full article (PDF).
 
Departments
The Last Byte: The Internet of People
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