We consider partially observable Markov decision processes (POMDPs) modeling an agent that needs a supply of certain resource (e.g., electricity stored in batteries) to operate correctly. The is consumed by the agent's actions and can be replenished only states. aims minimize expected cost reaching some goal while preventing exhaustion, problem we call resource-constrained optimization (RSGO). ...

Logic Encryption is a hardware security technique that protects integrated circuit designs are fabricated at untrusted pure play foundries from being pirated or maliciously modified. In the technique, logic gates added to design driven by an key input bus, such correct behavior of recovered with only exact pattern. However, power, performance, and area (PPA) cost implementing encryption has oft...

Abstract Progress is being made to deploy convolutional neural networks (CNNs) into the Internet of Things (IoT) edge devices for handling image analysis tasks locally. These require low-latency and low-power computation on low-resource IoT devices. However, CNN-based algorithms, e.g. YOLOv2, typically contain millions parameters. With increase in CNN’s depth, filters are increased by a power t...

In many applications it is necessary to find a minimum weight assignment that satisfies one or several additional resource constraints. For example, consider the problem of assigning persons to jobs where each assignment utilizes at least two scarce resources and the resource utilization is dependent on the person and the type of task. A practical situation where the above might occur is a slau...

T he primary design objective of computing and communication systems has been performance: the speed of signal processing, the rate of communications, and the optimization of quality of service. For wireless systems and networks deployed on a large scale and untethered to power sources, practical considerations dictate a dif ferent design regime, one that should be dominated by energy and bandw...