Neuromorphic computing systems execute machine learning tasks designed with spiking neural networks. These are embracing non-volatile memory to implement high-density and low-energy synaptic storage. Elevated voltages currents needed operate memories cause aging of CMOS-based transistors in each neuron synapse circuit the hardware, drifting transistor’s parameters from their nominal values. If ...

The power and thermal issues have become one of the major design challenges for the development of modern computing systems. Developing an effective Dynamic thermal management algorithm for the practical multi-core computing system to deliver maximal throughput without encountering temperature emergencies becomes highly demanded. In this paper, we first identify the limitation of the existing t...

Learning analytics, with a risk management approach, provides relevant and actionable information to teaching and administrative staff to make evidence-based decisions in curriculum and program quality improvement. This paper outlines the development and pilot implementation of a risk management model with an online feedback system in a research-intensive Australian university. Providing teache...

Most e-Learning platforms implemented in educational institutes provides a tool for instructors to enter the grades and for students to view them. This tool with the appropriate workflow is considered one of the most sensitive and important applications in any University Information Management System. Consequently, implementing this tool should consider the fact that it must be flexible and ada...

‹ Retinex Algorithm – Process of estimating the per-pixel gains necessary to achieve dynamic range compression in the original image ‹ Extension – Suppress artifacts – Reduce the number of iterations Abstract 4 / 29 ‹ High Dynamic Range – More accurate rendition of the original image – Realistically converted to a low resolution ‹ Retinex theory – Illuminant estimation, gamut mapping and HDR im...

Wireless sensor networks (WSNs) have a vast field of applications, including environment monitoring, battlefield surveillance and target tracking systems. As WSNs are usually deployed in remote or even hostile environments and sensor nodes are prone to node compromise attacks, the adoption of dynamic key management is extremely important. However, the resource-constrained nature of sensor nodes...