The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …

The general objective of our work is to investigate the area and power-delay performances
of low-voltage full adder cells in different CMOS logic styles for the predominating tree …

Deeper neural networks are more difficult to train. We present a residual learning framework
to ease the training of networks that are substantially deeper than those used previously. We …

Computer Architecture: A Quantitative Approach, Fifth Edition, explores the ways that
software and technology in the cloud are accessed by digital media, such as cell phones …

“La densità di componenti è raddoppiata ogni anno. Sicuramente, a breve termine ci si può
attendere che questo ritmo continui, o addirittura acceleri. Nel lungo periodo, la velocità è …

In this paper, novel circuits for XOR/XNOR and simultaneous XOR-XNOR functions are
proposed. The proposed circuits are highly optimized in terms of the power consumption …

Motivated by emerging battery-operated applications that demand intensive computation in
portable environments, techniques are investigated which reduce power consumption in …

We introduce the notion of a Physical Random Function (PUF). We argue that a complex
integrated circuit can be viewed as a silicon PUF and describe a technique to identify and …

This paper examines how monitoring power consumption signals might breach smart-card
security. Both simple power analysis and differential power analysis attacks are investigated …

A unique feature of this open access textbook is to provide a comprehensive introduction to
the fundamental knowledge in embedded systems, with applications in cyber-physical …