Howard Tripp

Learn More
Environmental exposure to time-varying (alternating current) magnetic fields (MFs) produced by electrical current flow is a perceived public health risk. Several epidemiological studies report correlations between MF exposure and carcinogenesis. It has been hypothesized that MF-induced suppression of melatonin could provide the mechanism by which this(More)
The suppression of melatonin by exposure to low frequency electromagnetic fields (EMFs) 'the melatonin hypothesis'. has been invoked as a possible mechanism through which exposure to these fields may result in an increased incidence of cancer. While the effect of light on melatonin is well established, data showing a similar effect due to EMF exposure are(More)
Magnetic fields (MF, 50 Hz) have been proposed to affect melatonin production in mammals; however, there is very little data about the mechanism by which this possible interaction may occur. Here we describe results from the first study in which circularly polarised 50 Hz MF have been administered to isolated pineals in highly controlled conditions.(More)
During the last decade the Internet has faced an architectural stagnation due to lack of wide scale adoption of new communication protocols. A significant reason for non-adoption is that the conflicting interests of networked stakeholders involved in the diffusion process are not understood or taken into account during the protocol development. This paper(More)
Since dynamic wireless networks evolve over time, optimal routing computations need to be performed frequently on time-varying network topologies. However, it is often infeasible or expensive to gather the current state of links for the entire network all the time. We provide a thorough analytical characterization of the effect of various link-state(More)
Military networks have a huge range of performance requirements, many of which are continually changing in the face of evolving operations. In such circumstances, ensuring that network performance is adequate, let alone optimal, is a significant and ever more challenging management burden. The panacea to this problem is autonomous self-optimizing networks(More)
A new family of "Distribution Replacement" operators for use in steady state genetic algorithms is presented. Distribution replacement enforces the members of the population to conform to an arbitrary statistical distribution, defined by its Cumulative Distribution Frequency, relative to the current best individual. As new superior individuals are(More)
Since dynamic wireless networks evolve over time, optimal routing computations need to be performed frequently on time-varying network topologies. However, it is often infeasible or expensive to gather the current state of links for the entire network all the time. We provide a thorough analytical characterization of the effect of various link-state(More)
  • 1