The field of wireless sensor networking is a new and upcoming one and unfortunately still lacking as far as digital forensics is concerned. All communications between different nodes (also known as motes) are sent out in a broadcast fashion. These broadcasts make it quite difficult to capture data packets forensically whilst retaining their integrity and authenticity. This paper examines the di...

In this article we discuss three issues that should be considered important in future studies of willingness to pay (WTP) for services in digital networks. First, existing studies of WTP for digital services have several weaknesses when it comes to contextand incentive realism and we suggest alternative methods to overcome these weaknesses. Second, a review of existing studies of WTP for digita...

The fast simulation of large networks of spiking neurons is a major task for the examination of biology-inspired vision systems. Networks of this type label features by synchronization of spikes and there is strong demand to simulate these e ects in real world environments. As the calculations for one model neuron are complex, the digital simulation of large networks is not e cient using existi...

a digital look-up table adaptive predistortion technique using a six-port receiver for power amplifier linearization is presented. the system is designed in ka-band for a dvb-s2 satellite link. we use a six-port receiver at the linearizationloop in place of classic heterodyne receivers. the six-port receiver is implemented by the use of passive microwavecircuits and detector diodes. this approa...

This paper is built upon the need that digital forensic investigators are required in many cases to investigate, understand and report on all kind of cyber-crime including novel security breaches which have not been performed in the past. When an investigator is faced with the challenge to explore a new threat, we argue that the inquiry dynamics do not differ from an organisational employee cha...

N euroengineers have came up with the idea of arti cial neural networks, massively parallel computing machines inspired by biological nervous systems. Such systems o er a new paradigm, where learning from examples or learning from interaction replaces programming. They are basically composed of interconnected simple processing elements (i.e., arti cial neurons or simply neurons). A predominant ...

The general aspects of timing and synchronization in digital communications networks are reviewed. The properties of the links and nodes carrying and switching time-multiplexed digital signals determine the throughput and performance of a network. The continuity and integrity conditions for the digital information flow, where timing faults cause errors and loss of information determine the requ...